diff --git a/Final_project_notebook/.gitignore b/Final_project_notebook/.gitignore
new file mode 100644
index 0000000..2eea525
--- /dev/null
+++ b/Final_project_notebook/.gitignore
@@ -0,0 +1 @@
+.env
\ No newline at end of file
diff --git a/Final_project_notebook/.ipynb_checkpoints/Final_Notebook-Copy1-checkpoint.ipynb b/Final_project_notebook/.ipynb_checkpoints/Final_Notebook-Copy1-checkpoint.ipynb
new file mode 100644
index 0000000..91c3f1d
--- /dev/null
+++ b/Final_project_notebook/.ipynb_checkpoints/Final_Notebook-Copy1-checkpoint.ipynb
@@ -0,0 +1,10211 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import necessary libraries and dependencies\n",
+    "# imports\n",
+    "import panel as pn\n",
+    "pn.extension('plotly')\n",
+    "import plotly.express as px\n",
+    "import pandas as pd\n",
+    "import hvplot.pandas\n",
+    "import matplotlib.pyplot as plt\n",
+    "import os\n",
+    "from pathlib import Path\n",
+    "from dotenv import load_dotenv\n",
+    "import seaborn as sns\n",
+    "import numpy as np\n",
+    "import alpaca_trade_api as tradeapi\n",
+    "from MCForecastTools import MCSimulation\n",
+    "\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Initialize the Panel Extensions (for Plotly)\n",
+    "pn.extension('plotly')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Read the Mapbox API key\n",
+    "load_dotenv()\n",
+    "mapbox_token = os.getenv(\"MAPBOX\")\n",
+    "\n",
+    "# Set the Mapbox API\n",
+    "px.set_mapbox_access_token(mapbox_token)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Clean The Data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Set the file paths for the CSVs\n",
+    "\n",
+    "eve_data = Path(\"../CSVs/ORCL-SQ-NVDA.csv\")\n",
+    "\n",
+    "eren_data = Path(\"../CSVs/BABA-PFE-NFLX-CRM-GD.csv\")\n",
+    "\n",
+    "phil_data = Path(\"../CSVs/Phil_Stocks.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Read the data\n",
+    "\n",
+    "eve_df = pd.read_csv(eve_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n",
+    "\n",
+    "eren_df = pd.read_csv(eren_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n",
+    "\n",
+    "phil_df = pd.read_csv(phil_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>WMT</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>89.74</td>\n",
+       "      <td>117.81</td>\n",
+       "      <td>92.07</td>\n",
+       "      <td>45.57</td>\n",
+       "      <td>64.98</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>63.930000</td>\n",
+       "      <td>27.822315</td>\n",
+       "      <td>111.250000</td>\n",
+       "      <td>75.269997</td>\n",
+       "      <td>129.018661</td>\n",
+       "      <td>93.46</td>\n",
+       "      <td>119.20</td>\n",
+       "      <td>94.01</td>\n",
+       "      <td>46.63</td>\n",
+       "      <td>65.87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>63.919998</td>\n",
+       "      <td>27.248917</td>\n",
+       "      <td>108.330002</td>\n",
+       "      <td>74.419998</td>\n",
+       "      <td>125.921211</td>\n",
+       "      <td>93.37</td>\n",
+       "      <td>118.68</td>\n",
+       "      <td>92.80</td>\n",
+       "      <td>46.75</td>\n",
+       "      <td>65.68</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>66.279999</td>\n",
+       "      <td>27.664425</td>\n",
+       "      <td>108.099998</td>\n",
+       "      <td>75.000000</td>\n",
+       "      <td>126.272095</td>\n",
+       "      <td>94.24</td>\n",
+       "      <td>119.65</td>\n",
+       "      <td>92.40</td>\n",
+       "      <td>46.80</td>\n",
+       "      <td>66.36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-08</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>67.699997</td>\n",
+       "      <td>27.498219</td>\n",
+       "      <td>114.930000</td>\n",
+       "      <td>75.089996</td>\n",
+       "      <td>127.666481</td>\n",
+       "      <td>95.57</td>\n",
+       "      <td>121.06</td>\n",
+       "      <td>92.47</td>\n",
+       "      <td>47.45</td>\n",
+       "      <td>66.88</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            ORCL  SQ  NVDA       BABA        PFE        NFLX        CRM  \\\n",
+       "Date                                                                      \n",
+       "2015-10-02   NaN NaN   NaN        NaN        NaN         NaN        NaN   \n",
+       "2015-10-05   NaN NaN   NaN  63.930000  27.822315  111.250000  75.269997   \n",
+       "2015-10-06   NaN NaN   NaN  63.919998  27.248917  108.330002  74.419998   \n",
+       "2015-10-07   NaN NaN   NaN  66.279999  27.664425  108.099998  75.000000   \n",
+       "2015-10-08   NaN NaN   NaN  67.699997  27.498219  114.930000  75.089996   \n",
+       "\n",
+       "                    GD    AMT      HD     FB   MSFT    WMT  \n",
+       "Date                                                        \n",
+       "2015-10-02         NaN  89.74  117.81  92.07  45.57  64.98  \n",
+       "2015-10-05  129.018661  93.46  119.20  94.01  46.63  65.87  \n",
+       "2015-10-06  125.921211  93.37  118.68  92.80  46.75  65.68  \n",
+       "2015-10-07  126.272095  94.24  119.65  92.40  46.80  66.36  \n",
+       "2015-10-08  127.666481  95.57  121.06  92.47  47.45  66.88  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Concat the df's based on what we currently have and we will add Felipe's later\n",
+    "\n",
+    "combined = pd.concat([eve_df, eren_df, phil_df], axis='columns', join='outer')\n",
+    "\n",
+    "combined.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>WMT</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.07</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>126.86</td>\n",
+       "      <td>106.26</td>\n",
+       "      <td>53.94</td>\n",
+       "      <td>60.70</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.85</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>130.21</td>\n",
+       "      <td>107.32</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>60.07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.12</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>132.50</td>\n",
+       "      <td>106.95</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>60.26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.02</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>133.60</td>\n",
+       "      <td>105.74</td>\n",
+       "      <td>54.25</td>\n",
+       "      <td>59.92</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.90</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>134.65</td>\n",
+       "      <td>105.41</td>\n",
+       "      <td>53.69</td>\n",
+       "      <td>60.24</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 ORCL     SQ       NVDA       BABA        PFE        NFLX  \\\n",
+       "Date                                                                        \n",
+       "2015-11-19  36.108597  13.07  30.458263  77.870003  27.049994  120.220001   \n",
+       "2015-11-20  36.404728  12.85  30.722525  79.949997  26.957846  123.839996   \n",
+       "2015-11-23  36.219639  12.12  30.262524  81.309998  26.245783  125.029999   \n",
+       "2015-11-24  36.515770  12.02  30.507206  80.860001  26.781923  123.309998   \n",
+       "2015-11-25  36.330700  11.90  30.468054  81.709999  27.535873  124.160004   \n",
+       "\n",
+       "                  CRM          GD     AMT      HD      FB   MSFT    WMT  \n",
+       "Date                                                                     \n",
+       "2015-11-19  80.639999  130.626297   99.63  126.86  106.26  53.94  60.70  \n",
+       "2015-11-20  80.989998  130.896194  100.49  130.21  107.32  54.19  60.07  \n",
+       "2015-11-23  80.779999  130.077530   99.94  132.50  106.95  54.19  60.26  \n",
+       "2015-11-24  80.389999  130.923172   99.26  133.60  105.74  54.25  59.92  \n",
+       "2015-11-25  80.410004  130.608292   99.09  134.65  105.41  53.69  60.24  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Dropping NAN's\n",
+    "combined_2 = combined.dropna()\n",
+    "\n",
+    "combined_2.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Creating the file path and reading in Felipe's stock picks\n",
+    "\n",
+    "felipe_data = Path(\"../CSVs/Felipe_Stocks_Final.csv\")\n",
+    "\n",
+    "felipe_df = pd.read_csv(felipe_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Cleaning Felipe's data\n",
+    "felipe_df.dropna(inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>VZ</th>\n",
+       "      <th>MCD</th>\n",
+       "      <th>Close</th>\n",
+       "      <th>CLX</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-01</th>\n",
+       "      <td>42.96</td>\n",
+       "      <td>116.07</td>\n",
+       "      <td>57.48</td>\n",
+       "      <td>115.38</td>\n",
+       "      <td>144.56</td>\n",
+       "      <td>77.93</td>\n",
+       "      <td>295.92</td>\n",
+       "      <td>68.59</td>\n",
+       "      <td>93.17</td>\n",
+       "      <td>116.61</td>\n",
+       "      <td>140.80</td>\n",
+       "      <td>98.58</td>\n",
+       "      <td>98.44</td>\n",
+       "      <td>90.13</td>\n",
+       "      <td>88.38</td>\n",
+       "      <td>96.55</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>42.84</td>\n",
+       "      <td>114.76</td>\n",
+       "      <td>58.08</td>\n",
+       "      <td>116.93</td>\n",
+       "      <td>145.86</td>\n",
+       "      <td>79.48</td>\n",
+       "      <td>303.36</td>\n",
+       "      <td>68.74</td>\n",
+       "      <td>93.93</td>\n",
+       "      <td>118.83</td>\n",
+       "      <td>143.20</td>\n",
+       "      <td>99.38</td>\n",
+       "      <td>99.39</td>\n",
+       "      <td>92.66</td>\n",
+       "      <td>89.74</td>\n",
+       "      <td>98.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>44.00</td>\n",
+       "      <td>115.91</td>\n",
+       "      <td>59.04</td>\n",
+       "      <td>118.38</td>\n",
+       "      <td>148.07</td>\n",
+       "      <td>81.82</td>\n",
+       "      <td>313.61</td>\n",
+       "      <td>70.75</td>\n",
+       "      <td>94.76</td>\n",
+       "      <td>119.65</td>\n",
+       "      <td>146.32</td>\n",
+       "      <td>101.53</td>\n",
+       "      <td>101.62</td>\n",
+       "      <td>94.59</td>\n",
+       "      <td>93.46</td>\n",
+       "      <td>100.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>44.06</td>\n",
+       "      <td>114.45</td>\n",
+       "      <td>58.69</td>\n",
+       "      <td>118.35</td>\n",
+       "      <td>148.41</td>\n",
+       "      <td>82.58</td>\n",
+       "      <td>312.73</td>\n",
+       "      <td>70.63</td>\n",
+       "      <td>93.42</td>\n",
+       "      <td>116.05</td>\n",
+       "      <td>145.79</td>\n",
+       "      <td>101.43</td>\n",
+       "      <td>101.50</td>\n",
+       "      <td>93.40</td>\n",
+       "      <td>93.37</td>\n",
+       "      <td>99.85</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>43.85</td>\n",
+       "      <td>115.25</td>\n",
+       "      <td>58.78</td>\n",
+       "      <td>119.00</td>\n",
+       "      <td>147.96</td>\n",
+       "      <td>83.24</td>\n",
+       "      <td>320.64</td>\n",
+       "      <td>71.98</td>\n",
+       "      <td>94.98</td>\n",
+       "      <td>116.43</td>\n",
+       "      <td>147.54</td>\n",
+       "      <td>102.24</td>\n",
+       "      <td>102.62</td>\n",
+       "      <td>94.31</td>\n",
+       "      <td>94.24</td>\n",
+       "      <td>99.93</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>59.39</td>\n",
+       "      <td>235.28</td>\n",
+       "      <td>84.30</td>\n",
+       "      <td>211.51</td>\n",
+       "      <td>342.58</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>59.36</td>\n",
+       "      <td>224.73</td>\n",
+       "      <td>86.07</td>\n",
+       "      <td>211.97</td>\n",
+       "      <td>349.62</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>59.24</td>\n",
+       "      <td>217.84</td>\n",
+       "      <td>84.80</td>\n",
+       "      <td>210.41</td>\n",
+       "      <td>352.14</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>59.49</td>\n",
+       "      <td>229.94</td>\n",
+       "      <td>85.92</td>\n",
+       "      <td>210.17</td>\n",
+       "      <td>355.00</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>59.45</td>\n",
+       "      <td>227.94</td>\n",
+       "      <td>86.74</td>\n",
+       "      <td>211.65</td>\n",
+       "      <td>358.46</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1260 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               VZ     MCD  Close     CLX    COST    PSX     BLK    TROW  \\\n",
+       "2015-10-01  42.96  116.07  57.48  115.38  144.56  77.93  295.92   68.59   \n",
+       "2015-10-02  42.84  114.76  58.08  116.93  145.86  79.48  303.36   68.74   \n",
+       "2015-10-05  44.00  115.91  59.04  118.38  148.07  81.82  313.61   70.75   \n",
+       "2015-10-06  44.06  114.45  58.69  118.35  148.41  82.58  312.73   70.63   \n",
+       "2015-10-07  43.85  115.25  58.78  119.00  147.96  83.24  320.64   71.98   \n",
+       "...           ...     ...    ...     ...     ...    ...     ...     ...   \n",
+       "2020-09-25  59.39  235.28  84.30  211.51  342.58  52.88  547.81  125.22   \n",
+       "2020-09-28  59.36  224.73  86.07  211.97  349.62  53.98  558.65  128.55   \n",
+       "2020-09-29  59.24  217.84  84.80  210.41  352.14  52.19  554.80  127.49   \n",
+       "2020-09-30  59.49  229.94  85.92  210.17  355.00  51.84  563.55  128.22   \n",
+       "2020-10-01  59.45  227.94  86.74  211.65  358.46  50.28  567.91  128.04   \n",
+       "\n",
+       "               JNJ     UNH     MMM     UPS     ACN     PPG     AMT     NEE  \n",
+       "2015-10-01   93.17  116.61  140.80   98.58   98.44   90.13   88.38   96.55  \n",
+       "2015-10-02   93.93  118.83  143.20   99.38   99.39   92.66   89.74   98.54  \n",
+       "2015-10-05   94.76  119.65  146.32  101.53  101.62   94.59   93.46  100.72  \n",
+       "2015-10-06   93.42  116.05  145.79  101.43  101.50   93.40   93.37   99.85  \n",
+       "2015-10-07   94.98  116.43  147.54  102.24  102.62   94.31   94.24   99.93  \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...  \n",
+       "2020-09-25  145.66  302.50  160.27  166.12  214.63  120.25  239.81  281.82  \n",
+       "2020-09-28  147.11  303.23  161.66  168.90  222.78  121.74  240.00  284.14  \n",
+       "2020-09-29  147.06  304.15  159.81  168.50  224.08  120.33  240.12  283.12  \n",
+       "2020-09-30  148.88  311.77  160.18  166.63  225.99  122.08  241.73  277.56  \n",
+       "2020-10-01  147.32  313.07  158.79  167.65  225.18  121.78  242.15  282.76  \n",
+       "\n",
+       "[1260 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Setting the index \n",
+    "\n",
+    "felipe_df.index=felipe_df.index.date\n",
+    "felipe_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>VZ</th>\n",
+       "      <th>MCD</th>\n",
+       "      <th>SBUX</th>\n",
+       "      <th>CLX</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-01</th>\n",
+       "      <td>42.96</td>\n",
+       "      <td>116.07</td>\n",
+       "      <td>57.48</td>\n",
+       "      <td>115.38</td>\n",
+       "      <td>144.56</td>\n",
+       "      <td>77.93</td>\n",
+       "      <td>295.92</td>\n",
+       "      <td>68.59</td>\n",
+       "      <td>93.17</td>\n",
+       "      <td>116.61</td>\n",
+       "      <td>140.80</td>\n",
+       "      <td>98.58</td>\n",
+       "      <td>98.44</td>\n",
+       "      <td>90.13</td>\n",
+       "      <td>88.38</td>\n",
+       "      <td>96.55</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>42.84</td>\n",
+       "      <td>114.76</td>\n",
+       "      <td>58.08</td>\n",
+       "      <td>116.93</td>\n",
+       "      <td>145.86</td>\n",
+       "      <td>79.48</td>\n",
+       "      <td>303.36</td>\n",
+       "      <td>68.74</td>\n",
+       "      <td>93.93</td>\n",
+       "      <td>118.83</td>\n",
+       "      <td>143.20</td>\n",
+       "      <td>99.38</td>\n",
+       "      <td>99.39</td>\n",
+       "      <td>92.66</td>\n",
+       "      <td>89.74</td>\n",
+       "      <td>98.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>44.00</td>\n",
+       "      <td>115.91</td>\n",
+       "      <td>59.04</td>\n",
+       "      <td>118.38</td>\n",
+       "      <td>148.07</td>\n",
+       "      <td>81.82</td>\n",
+       "      <td>313.61</td>\n",
+       "      <td>70.75</td>\n",
+       "      <td>94.76</td>\n",
+       "      <td>119.65</td>\n",
+       "      <td>146.32</td>\n",
+       "      <td>101.53</td>\n",
+       "      <td>101.62</td>\n",
+       "      <td>94.59</td>\n",
+       "      <td>93.46</td>\n",
+       "      <td>100.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>44.06</td>\n",
+       "      <td>114.45</td>\n",
+       "      <td>58.69</td>\n",
+       "      <td>118.35</td>\n",
+       "      <td>148.41</td>\n",
+       "      <td>82.58</td>\n",
+       "      <td>312.73</td>\n",
+       "      <td>70.63</td>\n",
+       "      <td>93.42</td>\n",
+       "      <td>116.05</td>\n",
+       "      <td>145.79</td>\n",
+       "      <td>101.43</td>\n",
+       "      <td>101.50</td>\n",
+       "      <td>93.40</td>\n",
+       "      <td>93.37</td>\n",
+       "      <td>99.85</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>43.85</td>\n",
+       "      <td>115.25</td>\n",
+       "      <td>58.78</td>\n",
+       "      <td>119.00</td>\n",
+       "      <td>147.96</td>\n",
+       "      <td>83.24</td>\n",
+       "      <td>320.64</td>\n",
+       "      <td>71.98</td>\n",
+       "      <td>94.98</td>\n",
+       "      <td>116.43</td>\n",
+       "      <td>147.54</td>\n",
+       "      <td>102.24</td>\n",
+       "      <td>102.62</td>\n",
+       "      <td>94.31</td>\n",
+       "      <td>94.24</td>\n",
+       "      <td>99.93</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>59.39</td>\n",
+       "      <td>235.28</td>\n",
+       "      <td>84.30</td>\n",
+       "      <td>211.51</td>\n",
+       "      <td>342.58</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>59.36</td>\n",
+       "      <td>224.73</td>\n",
+       "      <td>86.07</td>\n",
+       "      <td>211.97</td>\n",
+       "      <td>349.62</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>59.24</td>\n",
+       "      <td>217.84</td>\n",
+       "      <td>84.80</td>\n",
+       "      <td>210.41</td>\n",
+       "      <td>352.14</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>59.49</td>\n",
+       "      <td>229.94</td>\n",
+       "      <td>85.92</td>\n",
+       "      <td>210.17</td>\n",
+       "      <td>355.00</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>59.45</td>\n",
+       "      <td>227.94</td>\n",
+       "      <td>86.74</td>\n",
+       "      <td>211.65</td>\n",
+       "      <td>358.46</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1260 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               VZ     MCD   SBUX     CLX    COST    PSX     BLK    TROW  \\\n",
+       "2015-10-01  42.96  116.07  57.48  115.38  144.56  77.93  295.92   68.59   \n",
+       "2015-10-02  42.84  114.76  58.08  116.93  145.86  79.48  303.36   68.74   \n",
+       "2015-10-05  44.00  115.91  59.04  118.38  148.07  81.82  313.61   70.75   \n",
+       "2015-10-06  44.06  114.45  58.69  118.35  148.41  82.58  312.73   70.63   \n",
+       "2015-10-07  43.85  115.25  58.78  119.00  147.96  83.24  320.64   71.98   \n",
+       "...           ...     ...    ...     ...     ...    ...     ...     ...   \n",
+       "2020-09-25  59.39  235.28  84.30  211.51  342.58  52.88  547.81  125.22   \n",
+       "2020-09-28  59.36  224.73  86.07  211.97  349.62  53.98  558.65  128.55   \n",
+       "2020-09-29  59.24  217.84  84.80  210.41  352.14  52.19  554.80  127.49   \n",
+       "2020-09-30  59.49  229.94  85.92  210.17  355.00  51.84  563.55  128.22   \n",
+       "2020-10-01  59.45  227.94  86.74  211.65  358.46  50.28  567.91  128.04   \n",
+       "\n",
+       "               JNJ     UNH     MMM     UPS     ACN     PPG     AMT     NEE  \n",
+       "2015-10-01   93.17  116.61  140.80   98.58   98.44   90.13   88.38   96.55  \n",
+       "2015-10-02   93.93  118.83  143.20   99.38   99.39   92.66   89.74   98.54  \n",
+       "2015-10-05   94.76  119.65  146.32  101.53  101.62   94.59   93.46  100.72  \n",
+       "2015-10-06   93.42  116.05  145.79  101.43  101.50   93.40   93.37   99.85  \n",
+       "2015-10-07   94.98  116.43  147.54  102.24  102.62   94.31   94.24   99.93  \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...  \n",
+       "2020-09-25  145.66  302.50  160.27  166.12  214.63  120.25  239.81  281.82  \n",
+       "2020-09-28  147.11  303.23  161.66  168.90  222.78  121.74  240.00  284.14  \n",
+       "2020-09-29  147.06  304.15  159.81  168.50  224.08  120.33  240.12  283.12  \n",
+       "2020-09-30  148.88  311.77  160.18  166.63  225.99  122.08  241.73  277.56  \n",
+       "2020-10-01  147.32  313.07  158.79  167.65  225.18  121.78  242.15  282.76  \n",
+       "\n",
+       "[1260 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Fixing a column name for Felipe's picks \n",
+    "\n",
+    "column_names = felipe_df.columns.values\n",
+    "column_names[2] = 'SBUX'\n",
+    "felipe_df.columns = column_names\n",
+    "\n",
+    "felipe_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>...</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>126.86</td>\n",
+       "      <td>...</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>102.49</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>158.38</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.28</td>\n",
+       "      <td>103.37</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>100.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>130.21</td>\n",
+       "      <td>...</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>102.48</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>158.95</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>104.62</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>101.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>132.50</td>\n",
+       "      <td>...</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>102.77</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>158.65</td>\n",
+       "      <td>103.59</td>\n",
+       "      <td>107.84</td>\n",
+       "      <td>105.47</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>100.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>133.60</td>\n",
+       "      <td>...</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>102.04</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>157.75</td>\n",
+       "      <td>103.40</td>\n",
+       "      <td>107.35</td>\n",
+       "      <td>105.49</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>99.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>134.65</td>\n",
+       "      <td>...</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>101.96</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>157.63</td>\n",
+       "      <td>103.49</td>\n",
+       "      <td>107.10</td>\n",
+       "      <td>106.46</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>98.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>138.210007</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>268.55</td>\n",
+       "      <td>...</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>140.919998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>272.33</td>\n",
+       "      <td>...</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>138.550003</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>272.11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>138.429993</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>277.71</td>\n",
+       "      <td>...</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>138.220001</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>277.62</td>\n",
+       "      <td>...</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 ORCL          SQ        NVDA        BABA        PFE  \\\n",
+       "2015-11-19  36.108597   13.070000   30.458263   77.870003  27.049994   \n",
+       "2015-11-20  36.404728   12.850000   30.722525   79.949997  26.957846   \n",
+       "2015-11-23  36.219639   12.120000   30.262524   81.309998  26.245783   \n",
+       "2015-11-24  36.515770   12.020000   30.507206   80.860001  26.781923   \n",
+       "2015-11-25  36.330700   11.900000   30.468054   81.709999  27.535873   \n",
+       "...               ...         ...         ...         ...        ...   \n",
+       "2020-09-25  59.799999  157.720001  514.950012  271.089996  36.049999   \n",
+       "2020-09-28  59.580002  160.759995  521.400024  276.010010  36.389999   \n",
+       "2020-09-29  59.470001  164.809998  529.030029  276.929993  36.169998   \n",
+       "2020-09-30  59.700001  162.550003  541.219971  293.980011  36.700001   \n",
+       "2020-10-01  59.680000  168.490005  544.580017  290.049988  36.369999   \n",
+       "\n",
+       "                  NFLX         CRM          GD     AMT      HD  ...     BLK  \\\n",
+       "2015-11-19  120.220001   80.639999  130.626297   99.63  126.86  ...  359.09   \n",
+       "2015-11-20  123.839996   80.989998  130.896194  100.49  130.21  ...  362.46   \n",
+       "2015-11-23  125.029999   80.779999  130.077530   99.94  132.50  ...  363.25   \n",
+       "2015-11-24  123.309998   80.389999  130.923172   99.26  133.60  ...  356.81   \n",
+       "2015-11-25  124.160004   80.410004  130.608292   99.09  134.65  ...  360.62   \n",
+       "...                ...         ...         ...     ...     ...  ...     ...   \n",
+       "2020-09-25  482.880005  242.740005  138.210007  239.81  268.55  ...  547.81   \n",
+       "2020-09-28  490.649994  246.669998  140.919998  240.00  272.33  ...  558.65   \n",
+       "2020-09-29  493.480011  247.449997  138.550003  240.12  272.11  ...  554.80   \n",
+       "2020-09-30  500.029999  251.320007  138.429993  241.73  277.71  ...  563.55   \n",
+       "2020-10-01  527.510010  253.449997  138.220001  242.15  277.62  ...  567.91   \n",
+       "\n",
+       "              TROW     JNJ     UNH     MMM     UPS     ACN     PPG     AMT  \\\n",
+       "2015-11-19   76.38  102.49  110.63  158.38  104.10  107.28  103.37   99.63   \n",
+       "2015-11-20   76.37  102.48  112.97  158.95  104.10  107.97  104.62  100.49   \n",
+       "2015-11-23   76.15  102.77  112.16  158.65  103.59  107.84  105.47   99.94   \n",
+       "2015-11-24   75.62  102.04  113.19  157.75  103.40  107.35  105.49   99.26   \n",
+       "2015-11-25   76.01  101.96  114.41  157.63  103.49  107.10  106.46   99.09   \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...   \n",
+       "2020-09-25  125.22  145.66  302.50  160.27  166.12  214.63  120.25  239.81   \n",
+       "2020-09-28  128.55  147.11  303.23  161.66  168.90  222.78  121.74  240.00   \n",
+       "2020-09-29  127.49  147.06  304.15  159.81  168.50  224.08  120.33  240.12   \n",
+       "2020-09-30  128.22  148.88  311.77  160.18  166.63  225.99  122.08  241.73   \n",
+       "2020-10-01  128.04  147.32  313.07  158.79  167.65  225.18  121.78  242.15   \n",
+       "\n",
+       "               NEE  \n",
+       "2015-11-19  100.99  \n",
+       "2015-11-20  101.02  \n",
+       "2015-11-23  100.49  \n",
+       "2015-11-24   99.41  \n",
+       "2015-11-25   98.88  \n",
+       "...            ...  \n",
+       "2020-09-25  281.82  \n",
+       "2020-09-28  284.14  \n",
+       "2020-09-29  283.12  \n",
+       "2020-09-30  277.56  \n",
+       "2020-10-01  282.76  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Combining all of our df's to create one master df from where we will decide which stocks we chose\n",
+    "\n",
+    "combined_2 = pd.concat([eve_df, eren_df, phil_df, felipe_df], axis='columns', join='outer')\n",
+    "combined_2.dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Index(['ORCL', 'SQ', 'NVDA', 'BABA', 'PFE', 'NFLX', 'CRM', 'GD', 'AMT', 'HD',\n",
+      "       'FB', 'MSFT', 'WMT', 'VZ', 'MCD', 'SBUX', 'CLX', 'COST', 'PSX', 'BLK',\n",
+      "       'TROW', 'JNJ', 'UNH', 'MMM', 'UPS', 'ACN', 'PPG', 'AMT', 'NEE'],\n",
+      "      dtype='object')\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Just a sanity check to see all the column names to ensure that we got everything\n",
+    "\n",
+    "print(combined_2.columns)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Inital Data Calculations of All the Potential Stocks for Our Portfolio"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculate Daily Returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>...</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.002066</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>0.026407</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>-0.000098</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.003599</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.006432</td>\n",
+       "      <td>0.012092</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>0.000297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.006254</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>0.017587</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>0.002830</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>-0.001887</td>\n",
+       "      <td>-0.004899</td>\n",
+       "      <td>-0.001204</td>\n",
+       "      <td>0.008125</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>-0.005246</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>0.006501</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>0.008302</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>-0.007103</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>-0.005673</td>\n",
+       "      <td>-0.001834</td>\n",
+       "      <td>-0.004544</td>\n",
+       "      <td>0.000190</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>-0.010747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.002405</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>0.007859</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>-0.000784</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>-0.000761</td>\n",
+       "      <td>0.000870</td>\n",
+       "      <td>-0.002329</td>\n",
+       "      <td>0.009195</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>-0.005331</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.002617</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>0.000668</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>0.004021</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>0.002284</td>\n",
+       "      <td>0.006667</td>\n",
+       "      <td>0.003361</td>\n",
+       "      <td>-0.002348</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>0.004956</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>-0.003679</td>\n",
+       "      <td>0.019275</td>\n",
+       "      <td>0.012526</td>\n",
+       "      <td>0.018149</td>\n",
+       "      <td>0.009431</td>\n",
+       "      <td>0.016091</td>\n",
+       "      <td>0.016190</td>\n",
+       "      <td>0.019608</td>\n",
+       "      <td>0.000792</td>\n",
+       "      <td>0.014076</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.019788</td>\n",
+       "      <td>0.026593</td>\n",
+       "      <td>0.009955</td>\n",
+       "      <td>0.002413</td>\n",
+       "      <td>0.008673</td>\n",
+       "      <td>0.016735</td>\n",
+       "      <td>0.037972</td>\n",
+       "      <td>0.012391</td>\n",
+       "      <td>0.000792</td>\n",
+       "      <td>0.008232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.001846</td>\n",
+       "      <td>0.025193</td>\n",
+       "      <td>0.014634</td>\n",
+       "      <td>0.003333</td>\n",
+       "      <td>-0.006046</td>\n",
+       "      <td>0.005768</td>\n",
+       "      <td>0.003162</td>\n",
+       "      <td>-0.016818</td>\n",
+       "      <td>0.000500</td>\n",
+       "      <td>-0.000808</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.006892</td>\n",
+       "      <td>-0.008246</td>\n",
+       "      <td>-0.000340</td>\n",
+       "      <td>0.003034</td>\n",
+       "      <td>-0.011444</td>\n",
+       "      <td>-0.002368</td>\n",
+       "      <td>0.005835</td>\n",
+       "      <td>-0.011582</td>\n",
+       "      <td>0.000500</td>\n",
+       "      <td>-0.003590</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.003867</td>\n",
+       "      <td>-0.013713</td>\n",
+       "      <td>0.023042</td>\n",
+       "      <td>0.061568</td>\n",
+       "      <td>0.014653</td>\n",
+       "      <td>0.013273</td>\n",
+       "      <td>0.015640</td>\n",
+       "      <td>-0.000866</td>\n",
+       "      <td>0.006705</td>\n",
+       "      <td>0.020580</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.015771</td>\n",
+       "      <td>0.005726</td>\n",
+       "      <td>0.012376</td>\n",
+       "      <td>0.025053</td>\n",
+       "      <td>0.002315</td>\n",
+       "      <td>-0.011098</td>\n",
+       "      <td>0.008524</td>\n",
+       "      <td>0.014543</td>\n",
+       "      <td>0.006705</td>\n",
+       "      <td>-0.019638</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>-0.000335</td>\n",
+       "      <td>0.036543</td>\n",
+       "      <td>0.006208</td>\n",
+       "      <td>-0.013368</td>\n",
+       "      <td>-0.008992</td>\n",
+       "      <td>0.054957</td>\n",
+       "      <td>0.008475</td>\n",
+       "      <td>-0.001517</td>\n",
+       "      <td>0.001737</td>\n",
+       "      <td>-0.000324</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.007737</td>\n",
+       "      <td>-0.001404</td>\n",
+       "      <td>-0.010478</td>\n",
+       "      <td>0.004170</td>\n",
+       "      <td>-0.008678</td>\n",
+       "      <td>0.006121</td>\n",
+       "      <td>-0.003584</td>\n",
+       "      <td>-0.002457</td>\n",
+       "      <td>0.001737</td>\n",
+       "      <td>0.018735</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-02</th>\n",
+       "      <td>-0.014243</td>\n",
+       "      <td>0.006647</td>\n",
+       "      <td>-0.040563</td>\n",
+       "      <td>-0.006482</td>\n",
+       "      <td>0.000275</td>\n",
+       "      <td>-0.046350</td>\n",
+       "      <td>-0.022095</td>\n",
+       "      <td>0.016423</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                ORCL        SQ      NVDA      BABA       PFE      NFLX  \\\n",
+       "2015-11-20  0.008201 -0.016832  0.008676  0.026711 -0.003407  0.030111   \n",
+       "2015-11-23 -0.005084 -0.056809 -0.014973  0.017011 -0.026414  0.009609   \n",
+       "2015-11-24  0.008176 -0.008251  0.008085 -0.005534  0.020428 -0.013757   \n",
+       "2015-11-25 -0.005068 -0.009983 -0.001283  0.010512  0.028151  0.006893   \n",
+       "2015-11-27 -0.002038  0.012605  0.008352 -0.004039 -0.002434  0.010309   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-28 -0.003679  0.019275  0.012526  0.018149  0.009431  0.016091   \n",
+       "2020-09-29 -0.001846  0.025193  0.014634  0.003333 -0.006046  0.005768   \n",
+       "2020-09-30  0.003867 -0.013713  0.023042  0.061568  0.014653  0.013273   \n",
+       "2020-10-01 -0.000335  0.036543  0.006208 -0.013368 -0.008992  0.054957   \n",
+       "2020-10-02 -0.014243  0.006647 -0.040563 -0.006482  0.000275 -0.046350   \n",
+       "\n",
+       "                 CRM        GD       AMT        HD  ...       BLK      TROW  \\\n",
+       "2015-11-20  0.004340  0.002066  0.008632  0.026407  ...  0.009385 -0.000131   \n",
+       "2015-11-23 -0.002593 -0.006254 -0.005473  0.017587  ...  0.002180 -0.002881   \n",
+       "2015-11-24 -0.004828  0.006501 -0.006804  0.008302  ... -0.017729 -0.006960   \n",
+       "2015-11-25  0.000249 -0.002405 -0.001713  0.007859  ...  0.010678  0.005157   \n",
+       "2015-11-27 -0.005472  0.002617  0.005954  0.000668  ... -0.006184 -0.000789   \n",
+       "...              ...       ...       ...       ...  ...       ...       ...   \n",
+       "2020-09-28  0.016190  0.019608  0.000792  0.014076  ...  0.019788  0.026593   \n",
+       "2020-09-29  0.003162 -0.016818  0.000500 -0.000808  ... -0.006892 -0.008246   \n",
+       "2020-09-30  0.015640 -0.000866  0.006705  0.020580  ...  0.015771  0.005726   \n",
+       "2020-10-01  0.008475 -0.001517  0.001737 -0.000324  ...  0.007737 -0.001404   \n",
+       "2020-10-02 -0.022095  0.016423  0.000000  0.000000  ...  0.000000  0.000000   \n",
+       "\n",
+       "                 JNJ       UNH       MMM       UPS       ACN       PPG  \\\n",
+       "2015-11-20 -0.000098  0.021152  0.003599  0.000000  0.006432  0.012092   \n",
+       "2015-11-23  0.002830 -0.007170 -0.001887 -0.004899 -0.001204  0.008125   \n",
+       "2015-11-24 -0.007103  0.009183 -0.005673 -0.001834 -0.004544  0.000190   \n",
+       "2015-11-25 -0.000784  0.010778 -0.000761  0.000870 -0.002329  0.009195   \n",
+       "2015-11-27  0.004021 -0.000612  0.002284  0.006667  0.003361 -0.002348   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-28  0.009955  0.002413  0.008673  0.016735  0.037972  0.012391   \n",
+       "2020-09-29 -0.000340  0.003034 -0.011444 -0.002368  0.005835 -0.011582   \n",
+       "2020-09-30  0.012376  0.025053  0.002315 -0.011098  0.008524  0.014543   \n",
+       "2020-10-01 -0.010478  0.004170 -0.008678  0.006121 -0.003584 -0.002457   \n",
+       "2020-10-02  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
+       "\n",
+       "                 AMT       NEE  \n",
+       "2015-11-20  0.008632  0.000297  \n",
+       "2015-11-23 -0.005473 -0.005246  \n",
+       "2015-11-24 -0.006804 -0.010747  \n",
+       "2015-11-25 -0.001713 -0.005331  \n",
+       "2015-11-27  0.005954  0.004956  \n",
+       "...              ...       ...  \n",
+       "2020-09-28  0.000792  0.008232  \n",
+       "2020-09-29  0.000500 -0.003590  \n",
+       "2020-09-30  0.006705 -0.019638  \n",
+       "2020-10-01  0.001737  0.018735  \n",
+       "2020-10-02  0.000000  0.000000  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Calculating the daily returns for each stock\n",
+    "\n",
+    "portfolio_daily=combined_2.pct_change()\n",
+    "\n",
+    "portfolio_daily.dropna()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculating Cumulative Returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>...</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.250587</td>\n",
+       "      <td>-0.031071</td>\n",
+       "      <td>0.113169</td>\n",
+       "      <td>0.075993</td>\n",
+       "      <td>0.014552</td>\n",
+       "      <td>0.119791</td>\n",
+       "      <td>0.105254</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.224858</td>\n",
+       "      <td>0.113428</td>\n",
+       "      <td>0.099925</td>\n",
+       "      <td>-0.031215</td>\n",
+       "      <td>0.128906</td>\n",
+       "      <td>0.055995</td>\n",
+       "      <td>0.096810</td>\n",
+       "      <td>0.160768</td>\n",
+       "      <td>0.137022</td>\n",
+       "      <td>0.046297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>0.003075</td>\n",
+       "      <td>-0.072686</td>\n",
+       "      <td>-0.006426</td>\n",
+       "      <td>0.271860</td>\n",
+       "      <td>-0.056664</td>\n",
+       "      <td>0.123865</td>\n",
+       "      <td>0.073203</td>\n",
+       "      <td>0.008207</td>\n",
+       "      <td>0.113662</td>\n",
+       "      <td>0.124692</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.227528</td>\n",
+       "      <td>0.110220</td>\n",
+       "      <td>0.103037</td>\n",
+       "      <td>-0.038161</td>\n",
+       "      <td>0.126776</td>\n",
+       "      <td>0.050822</td>\n",
+       "      <td>0.095490</td>\n",
+       "      <td>0.170199</td>\n",
+       "      <td>0.130799</td>\n",
+       "      <td>0.040808</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.011276</td>\n",
+       "      <td>-0.080337</td>\n",
+       "      <td>0.001607</td>\n",
+       "      <td>0.264821</td>\n",
+       "      <td>-0.037394</td>\n",
+       "      <td>0.108404</td>\n",
+       "      <td>0.068022</td>\n",
+       "      <td>0.014762</td>\n",
+       "      <td>0.106084</td>\n",
+       "      <td>0.134029</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.205765</td>\n",
+       "      <td>0.102493</td>\n",
+       "      <td>0.095202</td>\n",
+       "      <td>-0.029329</td>\n",
+       "      <td>0.120384</td>\n",
+       "      <td>0.048894</td>\n",
+       "      <td>0.090512</td>\n",
+       "      <td>0.170421</td>\n",
+       "      <td>0.123105</td>\n",
+       "      <td>0.029622</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>0.006151</td>\n",
+       "      <td>-0.089518</td>\n",
+       "      <td>0.000321</td>\n",
+       "      <td>0.278117</td>\n",
+       "      <td>-0.010295</td>\n",
+       "      <td>0.116045</td>\n",
+       "      <td>0.068288</td>\n",
+       "      <td>0.012321</td>\n",
+       "      <td>0.104190</td>\n",
+       "      <td>0.142942</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.218640</td>\n",
+       "      <td>0.108179</td>\n",
+       "      <td>0.094344</td>\n",
+       "      <td>-0.018866</td>\n",
+       "      <td>0.119531</td>\n",
+       "      <td>0.049807</td>\n",
+       "      <td>0.087972</td>\n",
+       "      <td>0.181183</td>\n",
+       "      <td>0.121181</td>\n",
+       "      <td>0.024133</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.004101</td>\n",
+       "      <td>-0.078041</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.272955</td>\n",
+       "      <td>-0.012704</td>\n",
+       "      <td>0.127551</td>\n",
+       "      <td>0.062442</td>\n",
+       "      <td>0.014970</td>\n",
+       "      <td>0.110764</td>\n",
+       "      <td>0.143706</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.211104</td>\n",
+       "      <td>0.107304</td>\n",
+       "      <td>0.098744</td>\n",
+       "      <td>-0.019467</td>\n",
+       "      <td>0.122088</td>\n",
+       "      <td>0.056807</td>\n",
+       "      <td>0.091629</td>\n",
+       "      <td>0.178409</td>\n",
+       "      <td>0.127857</td>\n",
+       "      <td>0.029208</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.650023</td>\n",
+       "      <td>11.299923</td>\n",
+       "      <td>16.118508</td>\n",
+       "      <td>3.317379</td>\n",
+       "      <td>0.307943</td>\n",
+       "      <td>3.410337</td>\n",
+       "      <td>2.277136</td>\n",
+       "      <td>0.092245</td>\n",
+       "      <td>1.674393</td>\n",
+       "      <td>1.311603</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.887841</td>\n",
+       "      <td>0.874180</td>\n",
+       "      <td>0.578942</td>\n",
+       "      <td>1.600377</td>\n",
+       "      <td>0.148153</td>\n",
+       "      <td>0.713329</td>\n",
+       "      <td>1.263104</td>\n",
+       "      <td>0.350716</td>\n",
+       "      <td>1.715547</td>\n",
+       "      <td>1.942931</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>0.646976</td>\n",
+       "      <td>11.609793</td>\n",
+       "      <td>16.369015</td>\n",
+       "      <td>3.331769</td>\n",
+       "      <td>0.300036</td>\n",
+       "      <td>3.435775</td>\n",
+       "      <td>2.287498</td>\n",
+       "      <td>0.073876</td>\n",
+       "      <td>1.675730</td>\n",
+       "      <td>1.309736</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.874831</td>\n",
+       "      <td>0.858726</td>\n",
+       "      <td>0.578405</td>\n",
+       "      <td>1.608267</td>\n",
+       "      <td>0.135014</td>\n",
+       "      <td>0.709272</td>\n",
+       "      <td>1.276310</td>\n",
+       "      <td>0.335072</td>\n",
+       "      <td>1.716904</td>\n",
+       "      <td>1.932367</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.653346</td>\n",
+       "      <td>11.436879</td>\n",
+       "      <td>16.769233</td>\n",
+       "      <td>3.598467</td>\n",
+       "      <td>0.319085</td>\n",
+       "      <td>3.494652</td>\n",
+       "      <td>2.338913</td>\n",
+       "      <td>0.072946</td>\n",
+       "      <td>1.693671</td>\n",
+       "      <td>1.357270</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.904400</td>\n",
+       "      <td>0.869369</td>\n",
+       "      <td>0.597939</td>\n",
+       "      <td>1.673613</td>\n",
+       "      <td>0.137642</td>\n",
+       "      <td>0.690302</td>\n",
+       "      <td>1.295713</td>\n",
+       "      <td>0.354488</td>\n",
+       "      <td>1.735121</td>\n",
+       "      <td>1.874780</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.652792</td>\n",
+       "      <td>11.891355</td>\n",
+       "      <td>16.879549</td>\n",
+       "      <td>3.536993</td>\n",
+       "      <td>0.307224</td>\n",
+       "      <td>3.741663</td>\n",
+       "      <td>2.367211</td>\n",
+       "      <td>0.071318</td>\n",
+       "      <td>1.698351</td>\n",
+       "      <td>1.356506</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.919134</td>\n",
+       "      <td>0.866744</td>\n",
+       "      <td>0.581196</td>\n",
+       "      <td>1.684761</td>\n",
+       "      <td>0.127770</td>\n",
+       "      <td>0.700649</td>\n",
+       "      <td>1.287485</td>\n",
+       "      <td>0.351159</td>\n",
+       "      <td>1.739873</td>\n",
+       "      <td>1.928638</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-02</th>\n",
+       "      <td>0.629252</td>\n",
+       "      <td>11.977047</td>\n",
+       "      <td>16.154294</td>\n",
+       "      <td>3.507587</td>\n",
+       "      <td>0.307584</td>\n",
+       "      <td>3.521888</td>\n",
+       "      <td>2.292813</td>\n",
+       "      <td>0.088912</td>\n",
+       "      <td>1.698351</td>\n",
+       "      <td>1.356506</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.919134</td>\n",
+       "      <td>0.866744</td>\n",
+       "      <td>0.581196</td>\n",
+       "      <td>1.684761</td>\n",
+       "      <td>0.127770</td>\n",
+       "      <td>0.700649</td>\n",
+       "      <td>1.287485</td>\n",
+       "      <td>0.351159</td>\n",
+       "      <td>1.739873</td>\n",
+       "      <td>1.928638</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                ORCL         SQ       NVDA      BABA       PFE      NFLX  \\\n",
+       "2015-11-20  0.008201  -0.016832   0.008676  0.250587 -0.031071  0.113169   \n",
+       "2015-11-23  0.003075  -0.072686  -0.006426  0.271860 -0.056664  0.123865   \n",
+       "2015-11-24  0.011276  -0.080337   0.001607  0.264821 -0.037394  0.108404   \n",
+       "2015-11-25  0.006151  -0.089518   0.000321  0.278117 -0.010295  0.116045   \n",
+       "2015-11-27  0.004101  -0.078041   0.008676  0.272955 -0.012704  0.127551   \n",
+       "...              ...        ...        ...       ...       ...       ...   \n",
+       "2020-09-28  0.650023  11.299923  16.118508  3.317379  0.307943  3.410337   \n",
+       "2020-09-29  0.646976  11.609793  16.369015  3.331769  0.300036  3.435775   \n",
+       "2020-09-30  0.653346  11.436879  16.769233  3.598467  0.319085  3.494652   \n",
+       "2020-10-01  0.652792  11.891355  16.879549  3.536993  0.307224  3.741663   \n",
+       "2020-10-02  0.629252  11.977047  16.154294  3.507587  0.307584  3.521888   \n",
+       "\n",
+       "                 CRM        GD       AMT        HD  ...       BLK      TROW  \\\n",
+       "2015-11-20  0.075993  0.014552  0.119791  0.105254  ...  0.224858  0.113428   \n",
+       "2015-11-23  0.073203  0.008207  0.113662  0.124692  ...  0.227528  0.110220   \n",
+       "2015-11-24  0.068022  0.014762  0.106084  0.134029  ...  0.205765  0.102493   \n",
+       "2015-11-25  0.068288  0.012321  0.104190  0.142942  ...  0.218640  0.108179   \n",
+       "2015-11-27  0.062442  0.014970  0.110764  0.143706  ...  0.211104  0.107304   \n",
+       "...              ...       ...       ...       ...  ...       ...       ...   \n",
+       "2020-09-28  2.277136  0.092245  1.674393  1.311603  ...  0.887841  0.874180   \n",
+       "2020-09-29  2.287498  0.073876  1.675730  1.309736  ...  0.874831  0.858726   \n",
+       "2020-09-30  2.338913  0.072946  1.693671  1.357270  ...  0.904400  0.869369   \n",
+       "2020-10-01  2.367211  0.071318  1.698351  1.356506  ...  0.919134  0.866744   \n",
+       "2020-10-02  2.292813  0.088912  1.698351  1.356506  ...  0.919134  0.866744   \n",
+       "\n",
+       "                 JNJ       UNH       MMM       UPS       ACN       PPG  \\\n",
+       "2015-11-20  0.099925 -0.031215  0.128906  0.055995  0.096810  0.160768   \n",
+       "2015-11-23  0.103037 -0.038161  0.126776  0.050822  0.095490  0.170199   \n",
+       "2015-11-24  0.095202 -0.029329  0.120384  0.048894  0.090512  0.170421   \n",
+       "2015-11-25  0.094344 -0.018866  0.119531  0.049807  0.087972  0.181183   \n",
+       "2015-11-27  0.098744 -0.019467  0.122088  0.056807  0.091629  0.178409   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-28  0.578942  1.600377  0.148153  0.713329  1.263104  0.350716   \n",
+       "2020-09-29  0.578405  1.608267  0.135014  0.709272  1.276310  0.335072   \n",
+       "2020-09-30  0.597939  1.673613  0.137642  0.690302  1.295713  0.354488   \n",
+       "2020-10-01  0.581196  1.684761  0.127770  0.700649  1.287485  0.351159   \n",
+       "2020-10-02  0.581196  1.684761  0.127770  0.700649  1.287485  0.351159   \n",
+       "\n",
+       "                 AMT       NEE  \n",
+       "2015-11-20  0.137022  0.046297  \n",
+       "2015-11-23  0.130799  0.040808  \n",
+       "2015-11-24  0.123105  0.029622  \n",
+       "2015-11-25  0.121181  0.024133  \n",
+       "2015-11-27  0.127857  0.029208  \n",
+       "...              ...       ...  \n",
+       "2020-09-28  1.715547  1.942931  \n",
+       "2020-09-29  1.716904  1.932367  \n",
+       "2020-09-30  1.735121  1.874780  \n",
+       "2020-10-01  1.739873  1.928638  \n",
+       "2020-10-02  1.739873  1.928638  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Calculating each stocks cumulative return\n",
+    "\n",
+    "portfolio_cumulative = (portfolio_daily + 1).cumprod() -1 \n",
+    "portfolio_cumulative.dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 2160x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "portfolio_cumulative.plot(figsize=(30,10));"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Correlation analysis of all potential stock choices"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>...</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.386744</td>\n",
+       "      <td>0.441040</td>\n",
+       "      <td>0.401531</td>\n",
+       "      <td>0.489490</td>\n",
+       "      <td>0.369383</td>\n",
+       "      <td>0.519998</td>\n",
+       "      <td>0.490317</td>\n",
+       "      <td>0.449187</td>\n",
+       "      <td>0.541530</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.574601</td>\n",
+       "      <td>0.618375</td>\n",
+       "      <td>0.499836</td>\n",
+       "      <td>0.462228</td>\n",
+       "      <td>0.493810</td>\n",
+       "      <td>0.487802</td>\n",
+       "      <td>0.591072</td>\n",
+       "      <td>0.465568</td>\n",
+       "      <td>0.449187</td>\n",
+       "      <td>0.396957</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>0.386744</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.497101</td>\n",
+       "      <td>0.435190</td>\n",
+       "      <td>0.266796</td>\n",
+       "      <td>0.406201</td>\n",
+       "      <td>0.522451</td>\n",
+       "      <td>0.352647</td>\n",
+       "      <td>0.308885</td>\n",
+       "      <td>0.450279</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.431928</td>\n",
+       "      <td>0.409611</td>\n",
+       "      <td>0.242860</td>\n",
+       "      <td>0.378159</td>\n",
+       "      <td>0.319524</td>\n",
+       "      <td>0.333834</td>\n",
+       "      <td>0.459690</td>\n",
+       "      <td>0.371524</td>\n",
+       "      <td>0.308885</td>\n",
+       "      <td>0.277866</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.441040</td>\n",
+       "      <td>0.497101</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.511186</td>\n",
+       "      <td>0.302716</td>\n",
+       "      <td>0.434059</td>\n",
+       "      <td>0.518649</td>\n",
+       "      <td>0.380077</td>\n",
+       "      <td>0.317052</td>\n",
+       "      <td>0.498054</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.480133</td>\n",
+       "      <td>0.445971</td>\n",
+       "      <td>0.321436</td>\n",
+       "      <td>0.409679</td>\n",
+       "      <td>0.428520</td>\n",
+       "      <td>0.394518</td>\n",
+       "      <td>0.482080</td>\n",
+       "      <td>0.381444</td>\n",
+       "      <td>0.317052</td>\n",
+       "      <td>0.273752</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.401531</td>\n",
+       "      <td>0.435190</td>\n",
+       "      <td>0.511186</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.277702</td>\n",
+       "      <td>0.418695</td>\n",
+       "      <td>0.458691</td>\n",
+       "      <td>0.353640</td>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.363652</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.453907</td>\n",
+       "      <td>0.409393</td>\n",
+       "      <td>0.287651</td>\n",
+       "      <td>0.319669</td>\n",
+       "      <td>0.368989</td>\n",
+       "      <td>0.345112</td>\n",
+       "      <td>0.444501</td>\n",
+       "      <td>0.384659</td>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.164492</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.489490</td>\n",
+       "      <td>0.266796</td>\n",
+       "      <td>0.302716</td>\n",
+       "      <td>0.277702</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.241524</td>\n",
+       "      <td>0.340086</td>\n",
+       "      <td>0.465807</td>\n",
+       "      <td>0.423415</td>\n",
+       "      <td>0.465854</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.499860</td>\n",
+       "      <td>0.528240</td>\n",
+       "      <td>0.601188</td>\n",
+       "      <td>0.506645</td>\n",
+       "      <td>0.467451</td>\n",
+       "      <td>0.418580</td>\n",
+       "      <td>0.472509</td>\n",
+       "      <td>0.392016</td>\n",
+       "      <td>0.423415</td>\n",
+       "      <td>0.401200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NFLX</th>\n",
+       "      <td>0.369383</td>\n",
+       "      <td>0.406201</td>\n",
+       "      <td>0.434059</td>\n",
+       "      <td>0.418695</td>\n",
+       "      <td>0.241524</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.505363</td>\n",
+       "      <td>0.265991</td>\n",
+       "      <td>0.221568</td>\n",
+       "      <td>0.356067</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.339315</td>\n",
+       "      <td>0.328485</td>\n",
+       "      <td>0.227223</td>\n",
+       "      <td>0.333898</td>\n",
+       "      <td>0.265286</td>\n",
+       "      <td>0.298567</td>\n",
+       "      <td>0.378506</td>\n",
+       "      <td>0.232731</td>\n",
+       "      <td>0.221568</td>\n",
+       "      <td>0.143194</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CRM</th>\n",
+       "      <td>0.519998</td>\n",
+       "      <td>0.522451</td>\n",
+       "      <td>0.518649</td>\n",
+       "      <td>0.458691</td>\n",
+       "      <td>0.340086</td>\n",
+       "      <td>0.505363</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.390874</td>\n",
+       "      <td>0.385879</td>\n",
+       "      <td>0.533370</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.515605</td>\n",
+       "      <td>0.481745</td>\n",
+       "      <td>0.353272</td>\n",
+       "      <td>0.415288</td>\n",
+       "      <td>0.381264</td>\n",
+       "      <td>0.360945</td>\n",
+       "      <td>0.570354</td>\n",
+       "      <td>0.395594</td>\n",
+       "      <td>0.385879</td>\n",
+       "      <td>0.296409</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>GD</th>\n",
+       "      <td>0.490317</td>\n",
+       "      <td>0.352647</td>\n",
+       "      <td>0.380077</td>\n",
+       "      <td>0.353640</td>\n",
+       "      <td>0.465807</td>\n",
+       "      <td>0.265991</td>\n",
+       "      <td>0.390874</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.436078</td>\n",
+       "      <td>0.559862</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.629273</td>\n",
+       "      <td>0.636208</td>\n",
+       "      <td>0.466839</td>\n",
+       "      <td>0.505194</td>\n",
+       "      <td>0.614054</td>\n",
+       "      <td>0.491739</td>\n",
+       "      <td>0.587317</td>\n",
+       "      <td>0.581177</td>\n",
+       "      <td>0.436078</td>\n",
+       "      <td>0.421907</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.449187</td>\n",
+       "      <td>0.308885</td>\n",
+       "      <td>0.317052</td>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.423415</td>\n",
+       "      <td>0.221568</td>\n",
+       "      <td>0.385879</td>\n",
+       "      <td>0.436078</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.489816</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.491120</td>\n",
+       "      <td>0.455302</td>\n",
+       "      <td>0.494270</td>\n",
+       "      <td>0.457972</td>\n",
+       "      <td>0.380347</td>\n",
+       "      <td>0.363920</td>\n",
+       "      <td>0.543790</td>\n",
+       "      <td>0.409436</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.634955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HD</th>\n",
+       "      <td>0.541530</td>\n",
+       "      <td>0.450279</td>\n",
+       "      <td>0.498054</td>\n",
+       "      <td>0.363652</td>\n",
+       "      <td>0.465854</td>\n",
+       "      <td>0.356067</td>\n",
+       "      <td>0.533370</td>\n",
+       "      <td>0.559862</td>\n",
+       "      <td>0.489816</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.637971</td>\n",
+       "      <td>0.580171</td>\n",
+       "      <td>0.455737</td>\n",
+       "      <td>0.547612</td>\n",
+       "      <td>0.540329</td>\n",
+       "      <td>0.496744</td>\n",
+       "      <td>0.653681</td>\n",
+       "      <td>0.565035</td>\n",
+       "      <td>0.489816</td>\n",
+       "      <td>0.469551</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FB</th>\n",
+       "      <td>0.457207</td>\n",
+       "      <td>0.436792</td>\n",
+       "      <td>0.483011</td>\n",
+       "      <td>0.468335</td>\n",
+       "      <td>0.327248</td>\n",
+       "      <td>0.462900</td>\n",
+       "      <td>0.556916</td>\n",
+       "      <td>0.347316</td>\n",
+       "      <td>0.354748</td>\n",
+       "      <td>0.476309</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.451528</td>\n",
+       "      <td>0.463039</td>\n",
+       "      <td>0.338963</td>\n",
+       "      <td>0.395071</td>\n",
+       "      <td>0.363871</td>\n",
+       "      <td>0.367420</td>\n",
+       "      <td>0.514883</td>\n",
+       "      <td>0.355301</td>\n",
+       "      <td>0.354748</td>\n",
+       "      <td>0.286661</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>0.646610</td>\n",
+       "      <td>0.543723</td>\n",
+       "      <td>0.605289</td>\n",
+       "      <td>0.542734</td>\n",
+       "      <td>0.480834</td>\n",
+       "      <td>0.513766</td>\n",
+       "      <td>0.679617</td>\n",
+       "      <td>0.493368</td>\n",
+       "      <td>0.491629</td>\n",
+       "      <td>0.619985</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.637154</td>\n",
+       "      <td>0.611672</td>\n",
+       "      <td>0.513232</td>\n",
+       "      <td>0.549118</td>\n",
+       "      <td>0.508484</td>\n",
+       "      <td>0.473321</td>\n",
+       "      <td>0.697806</td>\n",
+       "      <td>0.483476</td>\n",
+       "      <td>0.491629</td>\n",
+       "      <td>0.427397</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>WMT</th>\n",
+       "      <td>0.395824</td>\n",
+       "      <td>0.187869</td>\n",
+       "      <td>0.277678</td>\n",
+       "      <td>0.184256</td>\n",
+       "      <td>0.362778</td>\n",
+       "      <td>0.241783</td>\n",
+       "      <td>0.257522</td>\n",
+       "      <td>0.291778</td>\n",
+       "      <td>0.342883</td>\n",
+       "      <td>0.403235</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.324932</td>\n",
+       "      <td>0.396691</td>\n",
+       "      <td>0.394233</td>\n",
+       "      <td>0.329164</td>\n",
+       "      <td>0.312359</td>\n",
+       "      <td>0.344849</td>\n",
+       "      <td>0.357891</td>\n",
+       "      <td>0.214233</td>\n",
+       "      <td>0.342883</td>\n",
+       "      <td>0.353807</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>VZ</th>\n",
+       "      <td>0.386715</td>\n",
+       "      <td>0.139475</td>\n",
+       "      <td>0.207015</td>\n",
+       "      <td>0.157489</td>\n",
+       "      <td>0.420016</td>\n",
+       "      <td>0.130550</td>\n",
+       "      <td>0.223956</td>\n",
+       "      <td>0.384066</td>\n",
+       "      <td>0.422333</td>\n",
+       "      <td>0.407158</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.394041</td>\n",
+       "      <td>0.418823</td>\n",
+       "      <td>0.480680</td>\n",
+       "      <td>0.372922</td>\n",
+       "      <td>0.388611</td>\n",
+       "      <td>0.351349</td>\n",
+       "      <td>0.416289</td>\n",
+       "      <td>0.310807</td>\n",
+       "      <td>0.422008</td>\n",
+       "      <td>0.484183</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MCD</th>\n",
+       "      <td>-0.003641</td>\n",
+       "      <td>0.027750</td>\n",
+       "      <td>0.010322</td>\n",
+       "      <td>0.013460</td>\n",
+       "      <td>-0.032039</td>\n",
+       "      <td>-0.022146</td>\n",
+       "      <td>0.010757</td>\n",
+       "      <td>-0.054155</td>\n",
+       "      <td>-0.042996</td>\n",
+       "      <td>-0.009309</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.026979</td>\n",
+       "      <td>-0.042255</td>\n",
+       "      <td>-0.058079</td>\n",
+       "      <td>-0.003496</td>\n",
+       "      <td>-0.030284</td>\n",
+       "      <td>-0.067721</td>\n",
+       "      <td>-0.037804</td>\n",
+       "      <td>-0.026089</td>\n",
+       "      <td>-0.043673</td>\n",
+       "      <td>-0.072508</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SBUX</th>\n",
+       "      <td>0.526951</td>\n",
+       "      <td>0.390460</td>\n",
+       "      <td>0.384216</td>\n",
+       "      <td>0.346491</td>\n",
+       "      <td>0.399669</td>\n",
+       "      <td>0.285969</td>\n",
+       "      <td>0.456400</td>\n",
+       "      <td>0.495117</td>\n",
+       "      <td>0.480712</td>\n",
+       "      <td>0.600181</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.587104</td>\n",
+       "      <td>0.521748</td>\n",
+       "      <td>0.436940</td>\n",
+       "      <td>0.495134</td>\n",
+       "      <td>0.495364</td>\n",
+       "      <td>0.418371</td>\n",
+       "      <td>0.616191</td>\n",
+       "      <td>0.522496</td>\n",
+       "      <td>0.480909</td>\n",
+       "      <td>0.424887</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CLX</th>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.075670</td>\n",
+       "      <td>0.162118</td>\n",
+       "      <td>0.064958</td>\n",
+       "      <td>0.291965</td>\n",
+       "      <td>0.123945</td>\n",
+       "      <td>0.166157</td>\n",
+       "      <td>0.193186</td>\n",
+       "      <td>0.355846</td>\n",
+       "      <td>0.261454</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.233920</td>\n",
+       "      <td>0.266723</td>\n",
+       "      <td>0.369866</td>\n",
+       "      <td>0.214301</td>\n",
+       "      <td>0.215479</td>\n",
+       "      <td>0.236235</td>\n",
+       "      <td>0.276544</td>\n",
+       "      <td>0.132908</td>\n",
+       "      <td>0.356275</td>\n",
+       "      <td>0.408573</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COST</th>\n",
+       "      <td>0.426280</td>\n",
+       "      <td>0.292246</td>\n",
+       "      <td>0.358626</td>\n",
+       "      <td>0.265968</td>\n",
+       "      <td>0.403205</td>\n",
+       "      <td>0.311027</td>\n",
+       "      <td>0.363161</td>\n",
+       "      <td>0.381353</td>\n",
+       "      <td>0.379005</td>\n",
+       "      <td>0.505839</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.439098</td>\n",
+       "      <td>0.486854</td>\n",
+       "      <td>0.472736</td>\n",
+       "      <td>0.410483</td>\n",
+       "      <td>0.406834</td>\n",
+       "      <td>0.436928</td>\n",
+       "      <td>0.479576</td>\n",
+       "      <td>0.325553</td>\n",
+       "      <td>0.379260</td>\n",
+       "      <td>0.350427</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PSX</th>\n",
+       "      <td>0.469342</td>\n",
+       "      <td>0.352131</td>\n",
+       "      <td>0.337200</td>\n",
+       "      <td>0.326489</td>\n",
+       "      <td>0.391431</td>\n",
+       "      <td>0.208993</td>\n",
+       "      <td>0.362455</td>\n",
+       "      <td>0.571958</td>\n",
+       "      <td>0.369642</td>\n",
+       "      <td>0.479879</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.550833</td>\n",
+       "      <td>0.571133</td>\n",
+       "      <td>0.376043</td>\n",
+       "      <td>0.448549</td>\n",
+       "      <td>0.513460</td>\n",
+       "      <td>0.401974</td>\n",
+       "      <td>0.531838</td>\n",
+       "      <td>0.570767</td>\n",
+       "      <td>0.370054</td>\n",
+       "      <td>0.345528</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BLK</th>\n",
+       "      <td>0.574601</td>\n",
+       "      <td>0.431928</td>\n",
+       "      <td>0.480133</td>\n",
+       "      <td>0.453907</td>\n",
+       "      <td>0.499860</td>\n",
+       "      <td>0.339315</td>\n",
+       "      <td>0.515605</td>\n",
+       "      <td>0.629273</td>\n",
+       "      <td>0.491120</td>\n",
+       "      <td>0.637971</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.776158</td>\n",
+       "      <td>0.539930</td>\n",
+       "      <td>0.559991</td>\n",
+       "      <td>0.615458</td>\n",
+       "      <td>0.528537</td>\n",
+       "      <td>0.679808</td>\n",
+       "      <td>0.625953</td>\n",
+       "      <td>0.491559</td>\n",
+       "      <td>0.425750</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TROW</th>\n",
+       "      <td>0.618375</td>\n",
+       "      <td>0.409611</td>\n",
+       "      <td>0.445971</td>\n",
+       "      <td>0.409393</td>\n",
+       "      <td>0.528240</td>\n",
+       "      <td>0.328485</td>\n",
+       "      <td>0.481745</td>\n",
+       "      <td>0.636208</td>\n",
+       "      <td>0.455302</td>\n",
+       "      <td>0.580171</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.776158</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.512667</td>\n",
+       "      <td>0.514152</td>\n",
+       "      <td>0.606187</td>\n",
+       "      <td>0.578737</td>\n",
+       "      <td>0.636718</td>\n",
+       "      <td>0.532931</td>\n",
+       "      <td>0.455217</td>\n",
+       "      <td>0.377826</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>JNJ</th>\n",
+       "      <td>0.499836</td>\n",
+       "      <td>0.242860</td>\n",
+       "      <td>0.321436</td>\n",
+       "      <td>0.287651</td>\n",
+       "      <td>0.601188</td>\n",
+       "      <td>0.227223</td>\n",
+       "      <td>0.353272</td>\n",
+       "      <td>0.466839</td>\n",
+       "      <td>0.494270</td>\n",
+       "      <td>0.455737</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.539930</td>\n",
+       "      <td>0.512667</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.510207</td>\n",
+       "      <td>0.519309</td>\n",
+       "      <td>0.425231</td>\n",
+       "      <td>0.520004</td>\n",
+       "      <td>0.397181</td>\n",
+       "      <td>0.494477</td>\n",
+       "      <td>0.476430</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UNH</th>\n",
+       "      <td>0.462228</td>\n",
+       "      <td>0.378159</td>\n",
+       "      <td>0.409679</td>\n",
+       "      <td>0.319669</td>\n",
+       "      <td>0.506645</td>\n",
+       "      <td>0.333898</td>\n",
+       "      <td>0.415288</td>\n",
+       "      <td>0.505194</td>\n",
+       "      <td>0.457972</td>\n",
+       "      <td>0.547612</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.559991</td>\n",
+       "      <td>0.514152</td>\n",
+       "      <td>0.510207</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.483996</td>\n",
+       "      <td>0.425047</td>\n",
+       "      <td>0.526100</td>\n",
+       "      <td>0.488578</td>\n",
+       "      <td>0.458358</td>\n",
+       "      <td>0.439364</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MMM</th>\n",
+       "      <td>0.493810</td>\n",
+       "      <td>0.319524</td>\n",
+       "      <td>0.428520</td>\n",
+       "      <td>0.368989</td>\n",
+       "      <td>0.467451</td>\n",
+       "      <td>0.265286</td>\n",
+       "      <td>0.381264</td>\n",
+       "      <td>0.614054</td>\n",
+       "      <td>0.380347</td>\n",
+       "      <td>0.540329</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.615458</td>\n",
+       "      <td>0.606187</td>\n",
+       "      <td>0.519309</td>\n",
+       "      <td>0.483996</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.545729</td>\n",
+       "      <td>0.580649</td>\n",
+       "      <td>0.565495</td>\n",
+       "      <td>0.380817</td>\n",
+       "      <td>0.362916</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UPS</th>\n",
+       "      <td>0.487802</td>\n",
+       "      <td>0.333834</td>\n",
+       "      <td>0.394518</td>\n",
+       "      <td>0.345112</td>\n",
+       "      <td>0.418580</td>\n",
+       "      <td>0.298567</td>\n",
+       "      <td>0.360945</td>\n",
+       "      <td>0.491739</td>\n",
+       "      <td>0.363920</td>\n",
+       "      <td>0.496744</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.528537</td>\n",
+       "      <td>0.578737</td>\n",
+       "      <td>0.425231</td>\n",
+       "      <td>0.425047</td>\n",
+       "      <td>0.545729</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.496429</td>\n",
+       "      <td>0.449299</td>\n",
+       "      <td>0.364109</td>\n",
+       "      <td>0.326873</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ACN</th>\n",
+       "      <td>0.591072</td>\n",
+       "      <td>0.459690</td>\n",
+       "      <td>0.482080</td>\n",
+       "      <td>0.444501</td>\n",
+       "      <td>0.472509</td>\n",
+       "      <td>0.378506</td>\n",
+       "      <td>0.570354</td>\n",
+       "      <td>0.587317</td>\n",
+       "      <td>0.543790</td>\n",
+       "      <td>0.653681</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.679808</td>\n",
+       "      <td>0.636718</td>\n",
+       "      <td>0.520004</td>\n",
+       "      <td>0.526100</td>\n",
+       "      <td>0.580649</td>\n",
+       "      <td>0.496429</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.582935</td>\n",
+       "      <td>0.543947</td>\n",
+       "      <td>0.462775</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PPG</th>\n",
+       "      <td>0.465568</td>\n",
+       "      <td>0.371524</td>\n",
+       "      <td>0.381444</td>\n",
+       "      <td>0.384659</td>\n",
+       "      <td>0.392016</td>\n",
+       "      <td>0.232731</td>\n",
+       "      <td>0.395594</td>\n",
+       "      <td>0.581177</td>\n",
+       "      <td>0.409436</td>\n",
+       "      <td>0.565035</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.625953</td>\n",
+       "      <td>0.532931</td>\n",
+       "      <td>0.397181</td>\n",
+       "      <td>0.488578</td>\n",
+       "      <td>0.565495</td>\n",
+       "      <td>0.449299</td>\n",
+       "      <td>0.582935</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.410028</td>\n",
+       "      <td>0.337895</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.449187</td>\n",
+       "      <td>0.308885</td>\n",
+       "      <td>0.317052</td>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.423415</td>\n",
+       "      <td>0.221568</td>\n",
+       "      <td>0.385879</td>\n",
+       "      <td>0.436078</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.489816</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.491559</td>\n",
+       "      <td>0.455217</td>\n",
+       "      <td>0.494477</td>\n",
+       "      <td>0.458358</td>\n",
+       "      <td>0.380817</td>\n",
+       "      <td>0.364109</td>\n",
+       "      <td>0.543947</td>\n",
+       "      <td>0.410028</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.635249</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NEE</th>\n",
+       "      <td>0.396957</td>\n",
+       "      <td>0.277866</td>\n",
+       "      <td>0.273752</td>\n",
+       "      <td>0.164492</td>\n",
+       "      <td>0.401200</td>\n",
+       "      <td>0.143194</td>\n",
+       "      <td>0.296409</td>\n",
+       "      <td>0.421907</td>\n",
+       "      <td>0.634955</td>\n",
+       "      <td>0.469551</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.425750</td>\n",
+       "      <td>0.377826</td>\n",
+       "      <td>0.476430</td>\n",
+       "      <td>0.439364</td>\n",
+       "      <td>0.362916</td>\n",
+       "      <td>0.326873</td>\n",
+       "      <td>0.462775</td>\n",
+       "      <td>0.337895</td>\n",
+       "      <td>0.635249</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>29 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          ORCL        SQ      NVDA      BABA       PFE      NFLX       CRM  \\\n",
+       "ORCL  1.000000  0.386744  0.441040  0.401531  0.489490  0.369383  0.519998   \n",
+       "SQ    0.386744  1.000000  0.497101  0.435190  0.266796  0.406201  0.522451   \n",
+       "NVDA  0.441040  0.497101  1.000000  0.511186  0.302716  0.434059  0.518649   \n",
+       "BABA  0.401531  0.435190  0.511186  1.000000  0.277702  0.418695  0.458691   \n",
+       "PFE   0.489490  0.266796  0.302716  0.277702  1.000000  0.241524  0.340086   \n",
+       "NFLX  0.369383  0.406201  0.434059  0.418695  0.241524  1.000000  0.505363   \n",
+       "CRM   0.519998  0.522451  0.518649  0.458691  0.340086  0.505363  1.000000   \n",
+       "GD    0.490317  0.352647  0.380077  0.353640  0.465807  0.265991  0.390874   \n",
+       "AMT   0.449187  0.308885  0.317052  0.260417  0.423415  0.221568  0.385879   \n",
+       "HD    0.541530  0.450279  0.498054  0.363652  0.465854  0.356067  0.533370   \n",
+       "FB    0.457207  0.436792  0.483011  0.468335  0.327248  0.462900  0.556916   \n",
+       "MSFT  0.646610  0.543723  0.605289  0.542734  0.480834  0.513766  0.679617   \n",
+       "WMT   0.395824  0.187869  0.277678  0.184256  0.362778  0.241783  0.257522   \n",
+       "VZ    0.386715  0.139475  0.207015  0.157489  0.420016  0.130550  0.223956   \n",
+       "MCD  -0.003641  0.027750  0.010322  0.013460 -0.032039 -0.022146  0.010757   \n",
+       "SBUX  0.526951  0.390460  0.384216  0.346491  0.399669  0.285969  0.456400   \n",
+       "CLX   0.260417  0.075670  0.162118  0.064958  0.291965  0.123945  0.166157   \n",
+       "COST  0.426280  0.292246  0.358626  0.265968  0.403205  0.311027  0.363161   \n",
+       "PSX   0.469342  0.352131  0.337200  0.326489  0.391431  0.208993  0.362455   \n",
+       "BLK   0.574601  0.431928  0.480133  0.453907  0.499860  0.339315  0.515605   \n",
+       "TROW  0.618375  0.409611  0.445971  0.409393  0.528240  0.328485  0.481745   \n",
+       "JNJ   0.499836  0.242860  0.321436  0.287651  0.601188  0.227223  0.353272   \n",
+       "UNH   0.462228  0.378159  0.409679  0.319669  0.506645  0.333898  0.415288   \n",
+       "MMM   0.493810  0.319524  0.428520  0.368989  0.467451  0.265286  0.381264   \n",
+       "UPS   0.487802  0.333834  0.394518  0.345112  0.418580  0.298567  0.360945   \n",
+       "ACN   0.591072  0.459690  0.482080  0.444501  0.472509  0.378506  0.570354   \n",
+       "PPG   0.465568  0.371524  0.381444  0.384659  0.392016  0.232731  0.395594   \n",
+       "AMT   0.449187  0.308885  0.317052  0.260417  0.423415  0.221568  0.385879   \n",
+       "NEE   0.396957  0.277866  0.273752  0.164492  0.401200  0.143194  0.296409   \n",
+       "\n",
+       "            GD       AMT        HD  ...       BLK      TROW       JNJ  \\\n",
+       "ORCL  0.490317  0.449187  0.541530  ...  0.574601  0.618375  0.499836   \n",
+       "SQ    0.352647  0.308885  0.450279  ...  0.431928  0.409611  0.242860   \n",
+       "NVDA  0.380077  0.317052  0.498054  ...  0.480133  0.445971  0.321436   \n",
+       "BABA  0.353640  0.260417  0.363652  ...  0.453907  0.409393  0.287651   \n",
+       "PFE   0.465807  0.423415  0.465854  ...  0.499860  0.528240  0.601188   \n",
+       "NFLX  0.265991  0.221568  0.356067  ...  0.339315  0.328485  0.227223   \n",
+       "CRM   0.390874  0.385879  0.533370  ...  0.515605  0.481745  0.353272   \n",
+       "GD    1.000000  0.436078  0.559862  ...  0.629273  0.636208  0.466839   \n",
+       "AMT   0.436078  1.000000  0.489816  ...  0.491120  0.455302  0.494270   \n",
+       "HD    0.559862  0.489816  1.000000  ...  0.637971  0.580171  0.455737   \n",
+       "FB    0.347316  0.354748  0.476309  ...  0.451528  0.463039  0.338963   \n",
+       "MSFT  0.493368  0.491629  0.619985  ...  0.637154  0.611672  0.513232   \n",
+       "WMT   0.291778  0.342883  0.403235  ...  0.324932  0.396691  0.394233   \n",
+       "VZ    0.384066  0.422333  0.407158  ...  0.394041  0.418823  0.480680   \n",
+       "MCD  -0.054155 -0.042996 -0.009309  ... -0.026979 -0.042255 -0.058079   \n",
+       "SBUX  0.495117  0.480712  0.600181  ...  0.587104  0.521748  0.436940   \n",
+       "CLX   0.193186  0.355846  0.261454  ...  0.233920  0.266723  0.369866   \n",
+       "COST  0.381353  0.379005  0.505839  ...  0.439098  0.486854  0.472736   \n",
+       "PSX   0.571958  0.369642  0.479879  ...  0.550833  0.571133  0.376043   \n",
+       "BLK   0.629273  0.491120  0.637971  ...  1.000000  0.776158  0.539930   \n",
+       "TROW  0.636208  0.455302  0.580171  ...  0.776158  1.000000  0.512667   \n",
+       "JNJ   0.466839  0.494270  0.455737  ...  0.539930  0.512667  1.000000   \n",
+       "UNH   0.505194  0.457972  0.547612  ...  0.559991  0.514152  0.510207   \n",
+       "MMM   0.614054  0.380347  0.540329  ...  0.615458  0.606187  0.519309   \n",
+       "UPS   0.491739  0.363920  0.496744  ...  0.528537  0.578737  0.425231   \n",
+       "ACN   0.587317  0.543790  0.653681  ...  0.679808  0.636718  0.520004   \n",
+       "PPG   0.581177  0.409436  0.565035  ...  0.625953  0.532931  0.397181   \n",
+       "AMT   0.436078  1.000000  0.489816  ...  0.491559  0.455217  0.494477   \n",
+       "NEE   0.421907  0.634955  0.469551  ...  0.425750  0.377826  0.476430   \n",
+       "\n",
+       "           UNH       MMM       UPS       ACN       PPG       AMT       NEE  \n",
+       "ORCL  0.462228  0.493810  0.487802  0.591072  0.465568  0.449187  0.396957  \n",
+       "SQ    0.378159  0.319524  0.333834  0.459690  0.371524  0.308885  0.277866  \n",
+       "NVDA  0.409679  0.428520  0.394518  0.482080  0.381444  0.317052  0.273752  \n",
+       "BABA  0.319669  0.368989  0.345112  0.444501  0.384659  0.260417  0.164492  \n",
+       "PFE   0.506645  0.467451  0.418580  0.472509  0.392016  0.423415  0.401200  \n",
+       "NFLX  0.333898  0.265286  0.298567  0.378506  0.232731  0.221568  0.143194  \n",
+       "CRM   0.415288  0.381264  0.360945  0.570354  0.395594  0.385879  0.296409  \n",
+       "GD    0.505194  0.614054  0.491739  0.587317  0.581177  0.436078  0.421907  \n",
+       "AMT   0.457972  0.380347  0.363920  0.543790  0.409436  1.000000  0.634955  \n",
+       "HD    0.547612  0.540329  0.496744  0.653681  0.565035  0.489816  0.469551  \n",
+       "FB    0.395071  0.363871  0.367420  0.514883  0.355301  0.354748  0.286661  \n",
+       "MSFT  0.549118  0.508484  0.473321  0.697806  0.483476  0.491629  0.427397  \n",
+       "WMT   0.329164  0.312359  0.344849  0.357891  0.214233  0.342883  0.353807  \n",
+       "VZ    0.372922  0.388611  0.351349  0.416289  0.310807  0.422008  0.484183  \n",
+       "MCD  -0.003496 -0.030284 -0.067721 -0.037804 -0.026089 -0.043673 -0.072508  \n",
+       "SBUX  0.495134  0.495364  0.418371  0.616191  0.522496  0.480909  0.424887  \n",
+       "CLX   0.214301  0.215479  0.236235  0.276544  0.132908  0.356275  0.408573  \n",
+       "COST  0.410483  0.406834  0.436928  0.479576  0.325553  0.379260  0.350427  \n",
+       "PSX   0.448549  0.513460  0.401974  0.531838  0.570767  0.370054  0.345528  \n",
+       "BLK   0.559991  0.615458  0.528537  0.679808  0.625953  0.491559  0.425750  \n",
+       "TROW  0.514152  0.606187  0.578737  0.636718  0.532931  0.455217  0.377826  \n",
+       "JNJ   0.510207  0.519309  0.425231  0.520004  0.397181  0.494477  0.476430  \n",
+       "UNH   1.000000  0.483996  0.425047  0.526100  0.488578  0.458358  0.439364  \n",
+       "MMM   0.483996  1.000000  0.545729  0.580649  0.565495  0.380817  0.362916  \n",
+       "UPS   0.425047  0.545729  1.000000  0.496429  0.449299  0.364109  0.326873  \n",
+       "ACN   0.526100  0.580649  0.496429  1.000000  0.582935  0.543947  0.462775  \n",
+       "PPG   0.488578  0.565495  0.449299  0.582935  1.000000  0.410028  0.337895  \n",
+       "AMT   0.458358  0.380817  0.364109  0.543947  0.410028  1.000000  0.635249  \n",
+       "NEE   0.439364  0.362916  0.326873  0.462775  0.337895  0.635249  1.000000  \n",
+       "\n",
+       "[29 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Here we are deciphering the correlation of the stocks amongst themselves.\n",
+    "correlation_of_all_potential_stocks = portfolio_daily.corr()\n",
+    "correlation_of_all_potential_stocks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#We are using a heat map to quickly see if there are any noteable correlations that we should be concerned about.\n",
+    "sns.heatmap(correlation_of_all_potential_stocks);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Clean the data for the S&P 500"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Open</th>\n",
+       "      <th>High</th>\n",
+       "      <th>Low</th>\n",
+       "      <th>Close</th>\n",
+       "      <th>Adj Close</th>\n",
+       "      <th>Volume</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>1921.770020</td>\n",
+       "      <td>1951.359985</td>\n",
+       "      <td>1893.699951</td>\n",
+       "      <td>1951.359985</td>\n",
+       "      <td>1951.359985</td>\n",
+       "      <td>4378570000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>1954.329956</td>\n",
+       "      <td>1989.170044</td>\n",
+       "      <td>1954.329956</td>\n",
+       "      <td>1987.050049</td>\n",
+       "      <td>1987.050049</td>\n",
+       "      <td>4334490000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>1986.630005</td>\n",
+       "      <td>1991.619995</td>\n",
+       "      <td>1971.989990</td>\n",
+       "      <td>1979.920044</td>\n",
+       "      <td>1979.920044</td>\n",
+       "      <td>4202400000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>1982.339966</td>\n",
+       "      <td>1999.310059</td>\n",
+       "      <td>1976.439941</td>\n",
+       "      <td>1995.829956</td>\n",
+       "      <td>1995.829956</td>\n",
+       "      <td>4666470000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-08</th>\n",
+       "      <td>1994.010010</td>\n",
+       "      <td>2016.500000</td>\n",
+       "      <td>1987.530029</td>\n",
+       "      <td>2013.430054</td>\n",
+       "      <td>2013.430054</td>\n",
+       "      <td>3939140000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3236.659912</td>\n",
+       "      <td>3306.879883</td>\n",
+       "      <td>3228.439941</td>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>3792220000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3333.899902</td>\n",
+       "      <td>3360.739990</td>\n",
+       "      <td>3332.909912</td>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>3946060000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3350.919922</td>\n",
+       "      <td>3357.919922</td>\n",
+       "      <td>3327.540039</td>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>3651880000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3341.209961</td>\n",
+       "      <td>3393.560059</td>\n",
+       "      <td>3340.469971</td>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>4722530000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3385.870117</td>\n",
+       "      <td>3397.179932</td>\n",
+       "      <td>3361.389893</td>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>4070530000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1259 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   Open         High          Low        Close    Adj Close  \\\n",
+       "Date                                                                          \n",
+       "2015-10-02  1921.770020  1951.359985  1893.699951  1951.359985  1951.359985   \n",
+       "2015-10-05  1954.329956  1989.170044  1954.329956  1987.050049  1987.050049   \n",
+       "2015-10-06  1986.630005  1991.619995  1971.989990  1979.920044  1979.920044   \n",
+       "2015-10-07  1982.339966  1999.310059  1976.439941  1995.829956  1995.829956   \n",
+       "2015-10-08  1994.010010  2016.500000  1987.530029  2013.430054  2013.430054   \n",
+       "...                 ...          ...          ...          ...          ...   \n",
+       "2020-09-25  3236.659912  3306.879883  3228.439941  3298.459961  3298.459961   \n",
+       "2020-09-28  3333.899902  3360.739990  3332.909912  3351.600098  3351.600098   \n",
+       "2020-09-29  3350.919922  3357.919922  3327.540039  3335.469971  3335.469971   \n",
+       "2020-09-30  3341.209961  3393.560059  3340.469971  3363.000000  3363.000000   \n",
+       "2020-10-01  3385.870117  3397.179932  3361.389893  3380.800049  3380.800049   \n",
+       "\n",
+       "                Volume  \n",
+       "Date                    \n",
+       "2015-10-02  4378570000  \n",
+       "2015-10-05  4334490000  \n",
+       "2015-10-06  4202400000  \n",
+       "2015-10-07  4666470000  \n",
+       "2015-10-08  3939140000  \n",
+       "...                ...  \n",
+       "2020-09-25  3792220000  \n",
+       "2020-09-28  3946060000  \n",
+       "2020-09-29  3651880000  \n",
+       "2020-09-30  4722530000  \n",
+       "2020-10-01  4070530000  \n",
+       "\n",
+       "[1259 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Reading csv files \n",
+    "SP500_data = Path(\"../CSVs/SP500.csv\")\n",
+    "\n",
+    "raw_portfolio_data = Path(\"../CSVs/raw_portfolio.csv\")\n",
+    "# Reading csv as df\n",
+    "\n",
+    "SP500_df = pd.read_csv(SP500_data,index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n",
+    "raw_portfolio_data = pd.read_csv(raw_portfolio_data, index_col=0, parse_dates=True, infer_datetime_format=True)\n",
+    "SP500_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Close</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>1951.359985</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>1987.050049</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>1979.920044</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>1995.829956</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-08</th>\n",
+       "      <td>2013.430054</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1259 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  Close\n",
+       "Date                   \n",
+       "2015-10-02  1951.359985\n",
+       "2015-10-05  1987.050049\n",
+       "2015-10-06  1979.920044\n",
+       "2015-10-07  1995.829956\n",
+       "2015-10-08  2013.430054\n",
+       "...                 ...\n",
+       "2020-09-25  3298.459961\n",
+       "2020-09-28  3351.600098\n",
+       "2020-09-29  3335.469971\n",
+       "2020-09-30  3363.000000\n",
+       "2020-10-01  3380.800049\n",
+       "\n",
+       "[1259 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Dropping columns that are not needed\n",
+    "SP500_close_data= SP500_df.drop(columns=[\"Open\",\"High\",\"Low\",\"Adj Close\", \"Volume\"])\n",
+    "\n",
+    "SP500_close_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Here we saved the output of the dataframe into a csv file for later uses \n",
+    "\n",
+    "\n",
+    "    #SP500_close_data.to_csv(r'SP500_close_data.csv', index=True, header=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Combining S&P data with the portfolio containing all our stock picks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Close</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.38</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>102.49</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>158.38</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.28</td>\n",
+       "      <td>103.37</td>\n",
+       "      <td>100.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>...</td>\n",
+       "      <td>91.67</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>102.48</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>158.95</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>104.62</td>\n",
+       "      <td>101.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.17</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>102.77</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>158.65</td>\n",
+       "      <td>103.59</td>\n",
+       "      <td>107.84</td>\n",
+       "      <td>105.47</td>\n",
+       "      <td>100.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>...</td>\n",
+       "      <td>93.13</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>102.04</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>157.75</td>\n",
+       "      <td>103.40</td>\n",
+       "      <td>107.35</td>\n",
+       "      <td>105.49</td>\n",
+       "      <td>99.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.77</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>101.96</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>157.63</td>\n",
+       "      <td>103.49</td>\n",
+       "      <td>107.10</td>\n",
+       "      <td>106.46</td>\n",
+       "      <td>98.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>138.210007</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>140.919998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>...</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>138.550003</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>138.429993</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>...</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>138.220001</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>...</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  Close       ORCL          SQ        NVDA        BABA  \\\n",
+       "2015-11-19  2081.239990  36.108597   13.070000   30.458263   77.870003   \n",
+       "2015-11-20  2089.169922  36.404728   12.850000   30.722525   79.949997   \n",
+       "2015-11-23  2086.590088  36.219639   12.120000   30.262524   81.309998   \n",
+       "2015-11-24  2089.139893  36.515770   12.020000   30.507206   80.860001   \n",
+       "2015-11-25  2088.870117  36.330700   11.900000   30.468054   81.709999   \n",
+       "...                 ...        ...         ...         ...         ...   \n",
+       "2020-09-25  3298.459961  59.799999  157.720001  514.950012  271.089996   \n",
+       "2020-09-28  3351.600098  59.580002  160.759995  521.400024  276.010010   \n",
+       "2020-09-29  3335.469971  59.470001  164.809998  529.030029  276.929993   \n",
+       "2020-09-30  3363.000000  59.700001  162.550003  541.219971  293.980011   \n",
+       "2020-10-01  3380.800049  59.680000  168.490005  544.580017  290.049988   \n",
+       "\n",
+       "                  PFE        NFLX         CRM          GD     AMT  ...    PSX  \\\n",
+       "2015-11-19  27.049994  120.220001   80.639999  130.626297   99.63  ...  92.38   \n",
+       "2015-11-20  26.957846  123.839996   80.989998  130.896194  100.49  ...  91.67   \n",
+       "2015-11-23  26.245783  125.029999   80.779999  130.077530   99.94  ...  92.17   \n",
+       "2015-11-24  26.781923  123.309998   80.389999  130.923172   99.26  ...  93.13   \n",
+       "2015-11-25  27.535873  124.160004   80.410004  130.608292   99.09  ...  92.77   \n",
+       "...               ...         ...         ...         ...     ...  ...    ...   \n",
+       "2020-09-25  36.049999  482.880005  242.740005  138.210007  239.81  ...  52.88   \n",
+       "2020-09-28  36.389999  490.649994  246.669998  140.919998  240.00  ...  53.98   \n",
+       "2020-09-29  36.169998  493.480011  247.449997  138.550003  240.12  ...  52.19   \n",
+       "2020-09-30  36.700001  500.029999  251.320007  138.429993  241.73  ...  51.84   \n",
+       "2020-10-01  36.369999  527.510010  253.449997  138.220001  242.15  ...  50.28   \n",
+       "\n",
+       "               BLK    TROW     JNJ     UNH     MMM     UPS     ACN     PPG  \\\n",
+       "2015-11-19  359.09   76.38  102.49  110.63  158.38  104.10  107.28  103.37   \n",
+       "2015-11-20  362.46   76.37  102.48  112.97  158.95  104.10  107.97  104.62   \n",
+       "2015-11-23  363.25   76.15  102.77  112.16  158.65  103.59  107.84  105.47   \n",
+       "2015-11-24  356.81   75.62  102.04  113.19  157.75  103.40  107.35  105.49   \n",
+       "2015-11-25  360.62   76.01  101.96  114.41  157.63  103.49  107.10  106.46   \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...   \n",
+       "2020-09-25  547.81  125.22  145.66  302.50  160.27  166.12  214.63  120.25   \n",
+       "2020-09-28  558.65  128.55  147.11  303.23  161.66  168.90  222.78  121.74   \n",
+       "2020-09-29  554.80  127.49  147.06  304.15  159.81  168.50  224.08  120.33   \n",
+       "2020-09-30  563.55  128.22  148.88  311.77  160.18  166.63  225.99  122.08   \n",
+       "2020-10-01  567.91  128.04  147.32  313.07  158.79  167.65  225.18  121.78   \n",
+       "\n",
+       "               NEE  \n",
+       "2015-11-19  100.99  \n",
+       "2015-11-20  101.02  \n",
+       "2015-11-23  100.49  \n",
+       "2015-11-24   99.41  \n",
+       "2015-11-25   98.88  \n",
+       "...            ...  \n",
+       "2020-09-25  281.82  \n",
+       "2020-09-28  284.14  \n",
+       "2020-09-29  283.12  \n",
+       "2020-09-30  277.56  \n",
+       "2020-10-01  282.76  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Now we will conacat the Newly Created SP500 DataFrame with the combined_2 Dataframe\n",
+    "\n",
+    "SP500_and_general_stock_picks = pd.concat([SP500_close_data, raw_portfolio_data], axis='columns', join='outer')\n",
+    "\n",
+    "SP500_and_general_stock_picks.dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.38</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>102.49</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>158.38</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.28</td>\n",
+       "      <td>103.37</td>\n",
+       "      <td>100.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>...</td>\n",
+       "      <td>91.67</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>102.48</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>158.95</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>104.62</td>\n",
+       "      <td>101.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.17</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>102.77</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>158.65</td>\n",
+       "      <td>103.59</td>\n",
+       "      <td>107.84</td>\n",
+       "      <td>105.47</td>\n",
+       "      <td>100.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>...</td>\n",
+       "      <td>93.13</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>102.04</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>157.75</td>\n",
+       "      <td>103.40</td>\n",
+       "      <td>107.35</td>\n",
+       "      <td>105.49</td>\n",
+       "      <td>99.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.77</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>101.96</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>157.63</td>\n",
+       "      <td>103.49</td>\n",
+       "      <td>107.10</td>\n",
+       "      <td>106.46</td>\n",
+       "      <td>98.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>138.210007</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>140.919998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>...</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>138.550003</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>138.429993</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>...</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>138.220001</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>...</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  SP500       ORCL          SQ        NVDA        BABA  \\\n",
+       "2015-11-19  2081.239990  36.108597   13.070000   30.458263   77.870003   \n",
+       "2015-11-20  2089.169922  36.404728   12.850000   30.722525   79.949997   \n",
+       "2015-11-23  2086.590088  36.219639   12.120000   30.262524   81.309998   \n",
+       "2015-11-24  2089.139893  36.515770   12.020000   30.507206   80.860001   \n",
+       "2015-11-25  2088.870117  36.330700   11.900000   30.468054   81.709999   \n",
+       "...                 ...        ...         ...         ...         ...   \n",
+       "2020-09-25  3298.459961  59.799999  157.720001  514.950012  271.089996   \n",
+       "2020-09-28  3351.600098  59.580002  160.759995  521.400024  276.010010   \n",
+       "2020-09-29  3335.469971  59.470001  164.809998  529.030029  276.929993   \n",
+       "2020-09-30  3363.000000  59.700001  162.550003  541.219971  293.980011   \n",
+       "2020-10-01  3380.800049  59.680000  168.490005  544.580017  290.049988   \n",
+       "\n",
+       "                  PFE        NFLX         CRM          GD     AMT  ...    PSX  \\\n",
+       "2015-11-19  27.049994  120.220001   80.639999  130.626297   99.63  ...  92.38   \n",
+       "2015-11-20  26.957846  123.839996   80.989998  130.896194  100.49  ...  91.67   \n",
+       "2015-11-23  26.245783  125.029999   80.779999  130.077530   99.94  ...  92.17   \n",
+       "2015-11-24  26.781923  123.309998   80.389999  130.923172   99.26  ...  93.13   \n",
+       "2015-11-25  27.535873  124.160004   80.410004  130.608292   99.09  ...  92.77   \n",
+       "...               ...         ...         ...         ...     ...  ...    ...   \n",
+       "2020-09-25  36.049999  482.880005  242.740005  138.210007  239.81  ...  52.88   \n",
+       "2020-09-28  36.389999  490.649994  246.669998  140.919998  240.00  ...  53.98   \n",
+       "2020-09-29  36.169998  493.480011  247.449997  138.550003  240.12  ...  52.19   \n",
+       "2020-09-30  36.700001  500.029999  251.320007  138.429993  241.73  ...  51.84   \n",
+       "2020-10-01  36.369999  527.510010  253.449997  138.220001  242.15  ...  50.28   \n",
+       "\n",
+       "               BLK    TROW     JNJ     UNH     MMM     UPS     ACN     PPG  \\\n",
+       "2015-11-19  359.09   76.38  102.49  110.63  158.38  104.10  107.28  103.37   \n",
+       "2015-11-20  362.46   76.37  102.48  112.97  158.95  104.10  107.97  104.62   \n",
+       "2015-11-23  363.25   76.15  102.77  112.16  158.65  103.59  107.84  105.47   \n",
+       "2015-11-24  356.81   75.62  102.04  113.19  157.75  103.40  107.35  105.49   \n",
+       "2015-11-25  360.62   76.01  101.96  114.41  157.63  103.49  107.10  106.46   \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...   \n",
+       "2020-09-25  547.81  125.22  145.66  302.50  160.27  166.12  214.63  120.25   \n",
+       "2020-09-28  558.65  128.55  147.11  303.23  161.66  168.90  222.78  121.74   \n",
+       "2020-09-29  554.80  127.49  147.06  304.15  159.81  168.50  224.08  120.33   \n",
+       "2020-09-30  563.55  128.22  148.88  311.77  160.18  166.63  225.99  122.08   \n",
+       "2020-10-01  567.91  128.04  147.32  313.07  158.79  167.65  225.18  121.78   \n",
+       "\n",
+       "               NEE  \n",
+       "2015-11-19  100.99  \n",
+       "2015-11-20  101.02  \n",
+       "2015-11-23  100.49  \n",
+       "2015-11-24   99.41  \n",
+       "2015-11-25   98.88  \n",
+       "...            ...  \n",
+       "2020-09-25  281.82  \n",
+       "2020-09-28  284.14  \n",
+       "2020-09-29  283.12  \n",
+       "2020-09-30  277.56  \n",
+       "2020-10-01  282.76  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Fixing the df column so that it reads SP500 instead of Close\n",
+    "column_names = SP500_and_general_stock_picks.columns.values\n",
+    "column_names[0] = 'SP500'\n",
+    "SP500_and_general_stock_picks.columns = column_names\n",
+    "\n",
+    "\n",
+    "SP500_and_general_stock_picks.dropna(inplace=True)\n",
+    "\n",
+    "SP500_and_general_stock_picks"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# General Calculations of the newly created DataFrame"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculating Daily Returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.002066</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.007686</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>-0.000098</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.003599</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.006432</td>\n",
+       "      <td>0.012092</td>\n",
+       "      <td>0.000297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.006254</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.005454</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>0.002830</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>-0.001887</td>\n",
+       "      <td>-0.004899</td>\n",
+       "      <td>-0.001204</td>\n",
+       "      <td>0.008125</td>\n",
+       "      <td>-0.005246</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>0.006501</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.010416</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>-0.007103</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>-0.005673</td>\n",
+       "      <td>-0.001834</td>\n",
+       "      <td>-0.004544</td>\n",
+       "      <td>0.000190</td>\n",
+       "      <td>-0.010747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.002405</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.003866</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>-0.000784</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>-0.000761</td>\n",
+       "      <td>0.000870</td>\n",
+       "      <td>-0.002329</td>\n",
+       "      <td>0.009195</td>\n",
+       "      <td>-0.005331</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.002617</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.000108</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>0.004021</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>0.002284</td>\n",
+       "      <td>0.006667</td>\n",
+       "      <td>0.003361</td>\n",
+       "      <td>-0.002348</td>\n",
+       "      <td>0.004956</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.015977</td>\n",
+       "      <td>0.008432</td>\n",
+       "      <td>0.035520</td>\n",
+       "      <td>0.042578</td>\n",
+       "      <td>0.005042</td>\n",
+       "      <td>0.008110</td>\n",
+       "      <td>0.020715</td>\n",
+       "      <td>0.021848</td>\n",
+       "      <td>0.009569</td>\n",
+       "      <td>0.015370</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000568</td>\n",
+       "      <td>0.023848</td>\n",
+       "      <td>0.014502</td>\n",
+       "      <td>0.006843</td>\n",
+       "      <td>0.033623</td>\n",
+       "      <td>-0.000935</td>\n",
+       "      <td>0.035596</td>\n",
+       "      <td>0.000979</td>\n",
+       "      <td>0.010929</td>\n",
+       "      <td>0.015421</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.016111</td>\n",
+       "      <td>-0.003679</td>\n",
+       "      <td>0.019275</td>\n",
+       "      <td>0.012526</td>\n",
+       "      <td>0.018149</td>\n",
+       "      <td>0.009431</td>\n",
+       "      <td>0.016091</td>\n",
+       "      <td>0.016190</td>\n",
+       "      <td>0.019608</td>\n",
+       "      <td>0.000792</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.020802</td>\n",
+       "      <td>0.019788</td>\n",
+       "      <td>0.026593</td>\n",
+       "      <td>0.009955</td>\n",
+       "      <td>0.002413</td>\n",
+       "      <td>0.008673</td>\n",
+       "      <td>0.016735</td>\n",
+       "      <td>0.037972</td>\n",
+       "      <td>0.012391</td>\n",
+       "      <td>0.008232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.004813</td>\n",
+       "      <td>-0.001846</td>\n",
+       "      <td>0.025193</td>\n",
+       "      <td>0.014634</td>\n",
+       "      <td>0.003333</td>\n",
+       "      <td>-0.006046</td>\n",
+       "      <td>0.005768</td>\n",
+       "      <td>0.003162</td>\n",
+       "      <td>-0.016818</td>\n",
+       "      <td>0.000500</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.033160</td>\n",
+       "      <td>-0.006892</td>\n",
+       "      <td>-0.008246</td>\n",
+       "      <td>-0.000340</td>\n",
+       "      <td>0.003034</td>\n",
+       "      <td>-0.011444</td>\n",
+       "      <td>-0.002368</td>\n",
+       "      <td>0.005835</td>\n",
+       "      <td>-0.011582</td>\n",
+       "      <td>-0.003590</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.008254</td>\n",
+       "      <td>0.003867</td>\n",
+       "      <td>-0.013713</td>\n",
+       "      <td>0.023042</td>\n",
+       "      <td>0.061568</td>\n",
+       "      <td>0.014653</td>\n",
+       "      <td>0.013273</td>\n",
+       "      <td>0.015640</td>\n",
+       "      <td>-0.000866</td>\n",
+       "      <td>0.006705</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.006706</td>\n",
+       "      <td>0.015771</td>\n",
+       "      <td>0.005726</td>\n",
+       "      <td>0.012376</td>\n",
+       "      <td>0.025053</td>\n",
+       "      <td>0.002315</td>\n",
+       "      <td>-0.011098</td>\n",
+       "      <td>0.008524</td>\n",
+       "      <td>0.014543</td>\n",
+       "      <td>-0.019638</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.005293</td>\n",
+       "      <td>-0.000335</td>\n",
+       "      <td>0.036543</td>\n",
+       "      <td>0.006208</td>\n",
+       "      <td>-0.013368</td>\n",
+       "      <td>-0.008992</td>\n",
+       "      <td>0.054957</td>\n",
+       "      <td>0.008475</td>\n",
+       "      <td>-0.001517</td>\n",
+       "      <td>0.001737</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.030093</td>\n",
+       "      <td>0.007737</td>\n",
+       "      <td>-0.001404</td>\n",
+       "      <td>-0.010478</td>\n",
+       "      <td>0.004170</td>\n",
+       "      <td>-0.008678</td>\n",
+       "      <td>0.006121</td>\n",
+       "      <td>-0.003584</td>\n",
+       "      <td>-0.002457</td>\n",
+       "      <td>0.018735</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500      ORCL        SQ      NVDA      BABA       PFE  \\\n",
+       "2015-11-20  0.003810  0.008201 -0.016832  0.008676  0.026711 -0.003407   \n",
+       "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973  0.017011 -0.026414   \n",
+       "2015-11-24  0.001222  0.008176 -0.008251  0.008085 -0.005534  0.020428   \n",
+       "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283  0.010512  0.028151   \n",
+       "2015-11-27  0.000594 -0.002038  0.012605  0.008352 -0.004039 -0.002434   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.015977  0.008432  0.035520  0.042578  0.005042  0.008110   \n",
+       "2020-09-28  0.016111 -0.003679  0.019275  0.012526  0.018149  0.009431   \n",
+       "2020-09-29 -0.004813 -0.001846  0.025193  0.014634  0.003333 -0.006046   \n",
+       "2020-09-30  0.008254  0.003867 -0.013713  0.023042  0.061568  0.014653   \n",
+       "2020-10-01  0.005293 -0.000335  0.036543  0.006208 -0.013368 -0.008992   \n",
+       "\n",
+       "                NFLX       CRM        GD       AMT  ...       PSX       BLK  \\\n",
+       "2015-11-20  0.030111  0.004340  0.002066  0.008632  ... -0.007686  0.009385   \n",
+       "2015-11-23  0.009609 -0.002593 -0.006254 -0.005473  ...  0.005454  0.002180   \n",
+       "2015-11-24 -0.013757 -0.004828  0.006501 -0.006804  ...  0.010416 -0.017729   \n",
+       "2015-11-25  0.006893  0.000249 -0.002405 -0.001713  ... -0.003866  0.010678   \n",
+       "2015-11-27  0.010309 -0.005472  0.002617  0.005954  ... -0.000108 -0.006184   \n",
+       "...              ...       ...       ...       ...  ...       ...       ...   \n",
+       "2020-09-25  0.020715  0.021848  0.009569  0.015370  ...  0.000568  0.023848   \n",
+       "2020-09-28  0.016091  0.016190  0.019608  0.000792  ...  0.020802  0.019788   \n",
+       "2020-09-29  0.005768  0.003162 -0.016818  0.000500  ... -0.033160 -0.006892   \n",
+       "2020-09-30  0.013273  0.015640 -0.000866  0.006705  ... -0.006706  0.015771   \n",
+       "2020-10-01  0.054957  0.008475 -0.001517  0.001737  ... -0.030093  0.007737   \n",
+       "\n",
+       "                TROW       JNJ       UNH       MMM       UPS       ACN  \\\n",
+       "2015-11-20 -0.000131 -0.000098  0.021152  0.003599  0.000000  0.006432   \n",
+       "2015-11-23 -0.002881  0.002830 -0.007170 -0.001887 -0.004899 -0.001204   \n",
+       "2015-11-24 -0.006960 -0.007103  0.009183 -0.005673 -0.001834 -0.004544   \n",
+       "2015-11-25  0.005157 -0.000784  0.010778 -0.000761  0.000870 -0.002329   \n",
+       "2015-11-27 -0.000789  0.004021 -0.000612  0.002284  0.006667  0.003361   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.014502  0.006843  0.033623 -0.000935  0.035596  0.000979   \n",
+       "2020-09-28  0.026593  0.009955  0.002413  0.008673  0.016735  0.037972   \n",
+       "2020-09-29 -0.008246 -0.000340  0.003034 -0.011444 -0.002368  0.005835   \n",
+       "2020-09-30  0.005726  0.012376  0.025053  0.002315 -0.011098  0.008524   \n",
+       "2020-10-01 -0.001404 -0.010478  0.004170 -0.008678  0.006121 -0.003584   \n",
+       "\n",
+       "                 PPG       NEE  \n",
+       "2015-11-20  0.012092  0.000297  \n",
+       "2015-11-23  0.008125 -0.005246  \n",
+       "2015-11-24  0.000190 -0.010747  \n",
+       "2015-11-25  0.009195 -0.005331  \n",
+       "2015-11-27 -0.002348  0.004956  \n",
+       "...              ...       ...  \n",
+       "2020-09-25  0.010929  0.015421  \n",
+       "2020-09-28  0.012391  0.008232  \n",
+       "2020-09-29 -0.011582 -0.003590  \n",
+       "2020-09-30  0.014543 -0.019638  \n",
+       "2020-10-01 -0.002457  0.018735  \n",
+       "\n",
+       "[1224 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Calculating the % daily change of the SP500 + our stock picks\n",
+    "daily_returns_of_SP500_general_stock_picks = SP500_and_general_stock_picks.pct_change()\n",
+    "daily_returns_of_SP500_general_stock_picks.head()\n",
+    "\n",
+    "daily_returns_of_SP500_general_stock_picks.dropna(inplace=True)\n",
+    "\n",
+    "daily_returns_of_SP500_general_stock_picks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "SP500\n",
+      "ORCL\n",
+      "SQ\n",
+      "NVDA\n",
+      "BABA\n",
+      "PFE\n",
+      "NFLX\n",
+      "CRM\n",
+      "GD\n",
+      "AMT\n",
+      "HD\n",
+      "FB\n",
+      "MSFT\n",
+      "WMT\n",
+      "VZ\n",
+      "MCD\n",
+      "SBUX\n",
+      "CLX\n",
+      "COST\n",
+      "PSX\n",
+      "BLK\n",
+      "TROW\n",
+      "JNJ\n",
+      "UNH\n",
+      "MMM\n",
+      "UPS\n",
+      "ACN\n",
+      "PPG\n",
+      "NEE\n"
+     ]
+    }
+   ],
+   "source": [
+    "for col in daily_returns_of_SP500_general_stock_picks.columns: \n",
+    "    print(col)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculating Beta for each stock "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Calculating covariance of the our stock portfolio of daily returns\n",
+    "\n",
+    "ORCL_covariance = daily_returns_of_SP500_general_stock_picks['ORCL'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "SQ_covariance = daily_returns_of_SP500_general_stock_picks['SQ'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "NVDA_covariance = daily_returns_of_SP500_general_stock_picks['NVDA'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "BABA_covariance = daily_returns_of_SP500_general_stock_picks['BABA'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "PFE_covariance = daily_returns_of_SP500_general_stock_picks['PFE'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "NFLX_covariance = daily_returns_of_SP500_general_stock_picks['NFLX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "CRM_covariance = daily_returns_of_SP500_general_stock_picks['CRM'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "GD_covariance = daily_returns_of_SP500_general_stock_picks['GD'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "AMT_covariance = daily_returns_of_SP500_general_stock_picks['AMT'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "HD_covariance = daily_returns_of_SP500_general_stock_picks['HD'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "FB_covariance = daily_returns_of_SP500_general_stock_picks['FB'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "MSFT_covariance = daily_returns_of_SP500_general_stock_picks['MSFT'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "WMT_covariance = daily_returns_of_SP500_general_stock_picks['WMT'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "VZ_covariance = daily_returns_of_SP500_general_stock_picks['VZ'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "MCD_covariance = daily_returns_of_SP500_general_stock_picks['MCD'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "SBUX_covariance = daily_returns_of_SP500_general_stock_picks['SBUX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "CLX_covariance = daily_returns_of_SP500_general_stock_picks['CLX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "COST_covariance = daily_returns_of_SP500_general_stock_picks['COST'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "PSX_covariance = daily_returns_of_SP500_general_stock_picks['PSX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "BLK_covariance = daily_returns_of_SP500_general_stock_picks['BLK'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "TROW_covariance = daily_returns_of_SP500_general_stock_picks['TROW'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "JNJ_covariance = daily_returns_of_SP500_general_stock_picks['JNJ'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "UNH_covariance = daily_returns_of_SP500_general_stock_picks['UNH'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "MMM_covariance = daily_returns_of_SP500_general_stock_picks['MMM'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "UPS_covariance = daily_returns_of_SP500_general_stock_picks['UPS'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "ACN_covariance = daily_returns_of_SP500_general_stock_picks['ACN'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "PPG_covariance = daily_returns_of_SP500_general_stock_picks['PPG'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "NEE_covariance = daily_returns_of_SP500_general_stock_picks['NEE'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.00014785817616144565"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#calculating Variance of SP500\n",
+    "\n",
+    "variance = daily_returns_of_SP500_general_stock_picks['SP500'].var()\n",
+    "variance\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Calculating covariance of stocks used to determine which stocks will stay in our portfolio and which will be dropped\n",
+    "\n",
+    "ORCL_beta = ORCL_covariance / variance\n",
+    "SQ_beta = SQ_covariance / variance\n",
+    "BABA_beta = BABA_covariance / variance\n",
+    "PFE_beta = PFE_covariance / variance\n",
+    "NFLX_beta = NFLX_covariance / variance\n",
+    "CRM_beta = CRM_covariance / variance\n",
+    "GD_beta = GD_covariance / variance\n",
+    "AMT_beta = AMT_covariance / variance\n",
+    "HD_beta = HD_covariance / variance\n",
+    "FB_beta = FB_covariance / variance\n",
+    "MSFT_beta = MSFT_covariance / variance\n",
+    "WMT_beta = WMT_covariance / variance\n",
+    "VZ_beta = VZ_covariance / variance\n",
+    "MCD_beta = MCD_covariance / variance\n",
+    "SBUX_beta = SBUX_covariance / variance\n",
+    "CLX_beta = CLX_covariance / variance\n",
+    "COST_beta = COST_covariance / variance\n",
+    "PSX_beta = PSX_covariance / variance\n",
+    "BLK_beta = BLK_covariance / variance\n",
+    "TROW_beta = TROW_covariance / variance\n",
+    "JNJ_beta = JNJ_covariance / variance\n",
+    "UNH_beta = UNH_covariance / variance\n",
+    "MMM_beta = MMM_covariance / variance\n",
+    "UPS_beta = UPS_covariance / variance\n",
+    "ACN_beta = ACN_covariance / variance\n",
+    "PPG_beta = PPG_covariance / variance\n",
+    "NEE_beta = NEE_covariance / variance"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'ORCL': 0.9769549555886817,\n",
+       " 'SQ': 1.5733357802790633,\n",
+       " 'NVDA': 0.9769549555886817,\n",
+       " 'BABA': 0.9259970212008787,\n",
+       " 'PFE': 0.7086025412089901,\n",
+       " 'NFLX': 1.0012252752845145,\n",
+       " 'CRM': 1.1741466397375553,\n",
+       " 'GD': 0.9164540496291751,\n",
+       " 'AMT': 0.8211519138482752,\n",
+       " 'HD': 1.0441345895014473,\n",
+       " 'FB': 1.0632491001241937,\n",
+       " 'MSFT': 1.1997107974053545,\n",
+       " 'WMT': 0.5377679951870248,\n",
+       " 'VZ': 0.5170806353266986,\n",
+       " 'MCD': -0.031713051802039975,\n",
+       " 'SBUX': 1.001966415362131,\n",
+       " 'CLX': 0.34932730372514326,\n",
+       " 'COST': 0.652210226608838,\n",
+       " 'PSX': 1.210976849419251,\n",
+       " 'BLK': 1.2445144852629633,\n",
+       " 'TROW': 1.2107585898939726,\n",
+       " 'JNJ': 0.6636170131399196,\n",
+       " 'UNH': 1.0346792426874538,\n",
+       " 'MMM': 0.9011592323738653,\n",
+       " 'UPS': 0.8359317125085839,\n",
+       " 'ACN': 1.0574321882503792,\n",
+       " 'PPG': 0.9746945125982714,\n",
+       " 'NEE': 0.6773761086824459}"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Sanity check of our Covariances by creating a dictionary to read the data\n",
+    "\n",
+    "beta = {\n",
+    "  \"ORCL\": ORCL_beta,\n",
+    "  \"SQ\" : SQ_beta,\n",
+    "  \"NVDA\": ORCL_beta,\n",
+    "  \"BABA\": BABA_beta,\n",
+    "  \"PFE\": PFE_beta,\n",
+    "  \"NFLX\": NFLX_beta,\n",
+    "  \"CRM\": CRM_beta,\n",
+    "  \"GD\": GD_beta,\n",
+    "  \"AMT\": AMT_beta,\n",
+    "  \"HD\": HD_beta,\n",
+    "  \"FB\": FB_beta,\n",
+    "  \"MSFT\": MSFT_beta,\n",
+    "  \"WMT\": WMT_beta,\n",
+    "  \"VZ\": VZ_beta,\n",
+    "  \"MCD\": MCD_beta,\n",
+    "  \"SBUX\": SBUX_beta,\n",
+    "  \"CLX\": CLX_beta,\n",
+    "  \"COST\": COST_beta,\n",
+    "  \"PSX\": PSX_beta,\n",
+    "  \"BLK\": BLK_beta,\n",
+    "  \"TROW\": TROW_beta,\n",
+    "  \"JNJ\": JNJ_beta,\n",
+    "  \"UNH\": UNH_beta,\n",
+    "  \"MMM\": MMM_beta,\n",
+    "  \"UPS\": UPS_beta,\n",
+    "  \"ACN\": ACN_beta,\n",
+    "  \"PPG\": PPG_beta,\n",
+    "  \"NEE\": NEE_beta\n",
+    "}\n",
+    "\n",
+    "beta"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MCD -0.031713051802039975\n",
+      "CLX 0.34932730372514326\n",
+      "VZ 0.5170806353266986\n",
+      "WMT 0.5377679951870248\n",
+      "COST 0.652210226608838\n",
+      "JNJ 0.6636170131399196\n",
+      "NEE 0.6773761086824459\n",
+      "PFE 0.7086025412089901\n",
+      "AMT 0.8211519138482752\n",
+      "UPS 0.8359317125085839\n",
+      "MMM 0.9011592323738653\n",
+      "GD 0.9164540496291751\n",
+      "BABA 0.9259970212008787\n",
+      "PPG 0.9746945125982714\n",
+      "ORCL 0.9769549555886817\n",
+      "NVDA 0.9769549555886817\n",
+      "NFLX 1.0012252752845145\n",
+      "SBUX 1.001966415362131\n",
+      "UNH 1.0346792426874538\n",
+      "HD 1.0441345895014473\n",
+      "ACN 1.0574321882503792\n",
+      "FB 1.0632491001241937\n",
+      "CRM 1.1741466397375553\n",
+      "MSFT 1.1997107974053545\n",
+      "TROW 1.2107585898939726\n",
+      "PSX 1.210976849419251\n",
+      "BLK 1.2445144852629633\n",
+      "SQ 1.5733357802790633\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Sorting Beta from lowest to highest\n",
+    "\n",
+    "sorted_beta = sorted(beta.items(),key=lambda x: x[1], reverse=False)\n",
+    "\n",
+    "for i in sorted_beta: print(i[0], i[1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Calculating Correlation of S&P500 to Our Stock Picks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>SP500</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>0.718211</td>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.678114</td>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>0.643808</td>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>0.705586</td>\n",
+       "      <td>0.633569</td>\n",
+       "      <td>0.808055</td>\n",
+       "      <td>0.698629</td>\n",
+       "      <td>0.562373</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.386958</td>\n",
+       "      <td>0.440505</td>\n",
+       "      <td>0.401409</td>\n",
+       "      <td>0.489646</td>\n",
+       "      <td>0.368666</td>\n",
+       "      <td>0.519628</td>\n",
+       "      <td>0.491460</td>\n",
+       "      <td>0.449295</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.469504</td>\n",
+       "      <td>0.574767</td>\n",
+       "      <td>0.618554</td>\n",
+       "      <td>0.499977</td>\n",
+       "      <td>0.462337</td>\n",
+       "      <td>0.493965</td>\n",
+       "      <td>0.487937</td>\n",
+       "      <td>0.591231</td>\n",
+       "      <td>0.465708</td>\n",
+       "      <td>0.397040</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>0.386958</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.497670</td>\n",
+       "      <td>0.435255</td>\n",
+       "      <td>0.266798</td>\n",
+       "      <td>0.406967</td>\n",
+       "      <td>0.522806</td>\n",
+       "      <td>0.352706</td>\n",
+       "      <td>0.308892</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.352132</td>\n",
+       "      <td>0.431933</td>\n",
+       "      <td>0.409616</td>\n",
+       "      <td>0.242864</td>\n",
+       "      <td>0.378167</td>\n",
+       "      <td>0.319526</td>\n",
+       "      <td>0.333839</td>\n",
+       "      <td>0.459697</td>\n",
+       "      <td>0.371528</td>\n",
+       "      <td>0.277875</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>0.440505</td>\n",
+       "      <td>0.497670</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.511204</td>\n",
+       "      <td>0.302971</td>\n",
+       "      <td>0.432834</td>\n",
+       "      <td>0.518064</td>\n",
+       "      <td>0.381814</td>\n",
+       "      <td>0.317262</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.337503</td>\n",
+       "      <td>0.480509</td>\n",
+       "      <td>0.446315</td>\n",
+       "      <td>0.321677</td>\n",
+       "      <td>0.409963</td>\n",
+       "      <td>0.428878</td>\n",
+       "      <td>0.394818</td>\n",
+       "      <td>0.482439</td>\n",
+       "      <td>0.381751</td>\n",
+       "      <td>0.273910</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>0.401409</td>\n",
+       "      <td>0.435255</td>\n",
+       "      <td>0.511204</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.271929</td>\n",
+       "      <td>0.424142</td>\n",
+       "      <td>0.459182</td>\n",
+       "      <td>0.351660</td>\n",
+       "      <td>0.256468</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.324386</td>\n",
+       "      <td>0.454519</td>\n",
+       "      <td>0.411006</td>\n",
+       "      <td>0.281382</td>\n",
+       "      <td>0.322509</td>\n",
+       "      <td>0.369862</td>\n",
+       "      <td>0.350588</td>\n",
+       "      <td>0.443488</td>\n",
+       "      <td>0.386716</td>\n",
+       "      <td>0.163250</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>0.489646</td>\n",
+       "      <td>0.266798</td>\n",
+       "      <td>0.302971</td>\n",
+       "      <td>0.271929</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.255231</td>\n",
+       "      <td>0.343271</td>\n",
+       "      <td>0.471287</td>\n",
+       "      <td>0.426877</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.398428</td>\n",
+       "      <td>0.505123</td>\n",
+       "      <td>0.535580</td>\n",
+       "      <td>0.603870</td>\n",
+       "      <td>0.505540</td>\n",
+       "      <td>0.474353</td>\n",
+       "      <td>0.426225</td>\n",
+       "      <td>0.477271</td>\n",
+       "      <td>0.394458</td>\n",
+       "      <td>0.411663</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NFLX</th>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>0.368666</td>\n",
+       "      <td>0.406967</td>\n",
+       "      <td>0.432834</td>\n",
+       "      <td>0.424142</td>\n",
+       "      <td>0.255231</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.517518</td>\n",
+       "      <td>0.269976</td>\n",
+       "      <td>0.224412</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.208610</td>\n",
+       "      <td>0.343955</td>\n",
+       "      <td>0.336051</td>\n",
+       "      <td>0.233285</td>\n",
+       "      <td>0.337498</td>\n",
+       "      <td>0.268799</td>\n",
+       "      <td>0.302649</td>\n",
+       "      <td>0.378277</td>\n",
+       "      <td>0.236955</td>\n",
+       "      <td>0.150619</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CRM</th>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>0.519628</td>\n",
+       "      <td>0.522806</td>\n",
+       "      <td>0.518064</td>\n",
+       "      <td>0.459182</td>\n",
+       "      <td>0.343271</td>\n",
+       "      <td>0.517518</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.390746</td>\n",
+       "      <td>0.385774</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.364246</td>\n",
+       "      <td>0.517619</td>\n",
+       "      <td>0.482899</td>\n",
+       "      <td>0.350679</td>\n",
+       "      <td>0.426561</td>\n",
+       "      <td>0.380771</td>\n",
+       "      <td>0.360656</td>\n",
+       "      <td>0.573153</td>\n",
+       "      <td>0.397626</td>\n",
+       "      <td>0.297884</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>GD</th>\n",
+       "      <td>0.718211</td>\n",
+       "      <td>0.491460</td>\n",
+       "      <td>0.352706</td>\n",
+       "      <td>0.381814</td>\n",
+       "      <td>0.351660</td>\n",
+       "      <td>0.471287</td>\n",
+       "      <td>0.269976</td>\n",
+       "      <td>0.390746</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.433965</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.575444</td>\n",
+       "      <td>0.632679</td>\n",
+       "      <td>0.637720</td>\n",
+       "      <td>0.463809</td>\n",
+       "      <td>0.515648</td>\n",
+       "      <td>0.612809</td>\n",
+       "      <td>0.492406</td>\n",
+       "      <td>0.585783</td>\n",
+       "      <td>0.581516</td>\n",
+       "      <td>0.422481</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>0.449295</td>\n",
+       "      <td>0.308892</td>\n",
+       "      <td>0.317262</td>\n",
+       "      <td>0.256468</td>\n",
+       "      <td>0.426877</td>\n",
+       "      <td>0.224412</td>\n",
+       "      <td>0.385774</td>\n",
+       "      <td>0.433965</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.366028</td>\n",
+       "      <td>0.487550</td>\n",
+       "      <td>0.449716</td>\n",
+       "      <td>0.491896</td>\n",
+       "      <td>0.469692</td>\n",
+       "      <td>0.375233</td>\n",
+       "      <td>0.361974</td>\n",
+       "      <td>0.540575</td>\n",
+       "      <td>0.405584</td>\n",
+       "      <td>0.637052</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HD</th>\n",
+       "      <td>0.785353</td>\n",
+       "      <td>0.541672</td>\n",
+       "      <td>0.450287</td>\n",
+       "      <td>0.498425</td>\n",
+       "      <td>0.365700</td>\n",
+       "      <td>0.474578</td>\n",
+       "      <td>0.356924</td>\n",
+       "      <td>0.533627</td>\n",
+       "      <td>0.563125</td>\n",
+       "      <td>0.492019</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.482809</td>\n",
+       "      <td>0.644194</td>\n",
+       "      <td>0.585338</td>\n",
+       "      <td>0.455767</td>\n",
+       "      <td>0.557355</td>\n",
+       "      <td>0.544081</td>\n",
+       "      <td>0.497412</td>\n",
+       "      <td>0.658139</td>\n",
+       "      <td>0.570022</td>\n",
+       "      <td>0.475322</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FB</th>\n",
+       "      <td>0.632176</td>\n",
+       "      <td>0.457322</td>\n",
+       "      <td>0.436800</td>\n",
+       "      <td>0.483370</td>\n",
+       "      <td>0.471006</td>\n",
+       "      <td>0.324569</td>\n",
+       "      <td>0.472848</td>\n",
+       "      <td>0.559551</td>\n",
+       "      <td>0.346451</td>\n",
+       "      <td>0.354050</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.362557</td>\n",
+       "      <td>0.452998</td>\n",
+       "      <td>0.463954</td>\n",
+       "      <td>0.334978</td>\n",
+       "      <td>0.396961</td>\n",
+       "      <td>0.364097</td>\n",
+       "      <td>0.367797</td>\n",
+       "      <td>0.517254</td>\n",
+       "      <td>0.355863</td>\n",
+       "      <td>0.290893</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>0.835836</td>\n",
+       "      <td>0.646769</td>\n",
+       "      <td>0.543734</td>\n",
+       "      <td>0.605723</td>\n",
+       "      <td>0.543635</td>\n",
+       "      <td>0.485601</td>\n",
+       "      <td>0.524701</td>\n",
+       "      <td>0.689552</td>\n",
+       "      <td>0.499636</td>\n",
+       "      <td>0.499342</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.479977</td>\n",
+       "      <td>0.644817</td>\n",
+       "      <td>0.620536</td>\n",
+       "      <td>0.519689</td>\n",
+       "      <td>0.564042</td>\n",
+       "      <td>0.515009</td>\n",
+       "      <td>0.478763</td>\n",
+       "      <td>0.704062</td>\n",
+       "      <td>0.488388</td>\n",
+       "      <td>0.440207</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>WMT</th>\n",
+       "      <td>0.461816</td>\n",
+       "      <td>0.395912</td>\n",
+       "      <td>0.187875</td>\n",
+       "      <td>0.277849</td>\n",
+       "      <td>0.186634</td>\n",
+       "      <td>0.380353</td>\n",
+       "      <td>0.239978</td>\n",
+       "      <td>0.260476</td>\n",
+       "      <td>0.293014</td>\n",
+       "      <td>0.348438</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.212599</td>\n",
+       "      <td>0.338067</td>\n",
+       "      <td>0.406592</td>\n",
+       "      <td>0.399855</td>\n",
+       "      <td>0.332521</td>\n",
+       "      <td>0.317887</td>\n",
+       "      <td>0.349254</td>\n",
+       "      <td>0.360491</td>\n",
+       "      <td>0.218643</td>\n",
+       "      <td>0.367207</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>VZ</th>\n",
+       "      <td>0.512857</td>\n",
+       "      <td>0.386823</td>\n",
+       "      <td>0.139478</td>\n",
+       "      <td>0.207164</td>\n",
+       "      <td>0.149580</td>\n",
+       "      <td>0.429250</td>\n",
+       "      <td>0.129282</td>\n",
+       "      <td>0.219509</td>\n",
+       "      <td>0.381099</td>\n",
+       "      <td>0.416023</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.335214</td>\n",
+       "      <td>0.391162</td>\n",
+       "      <td>0.414118</td>\n",
+       "      <td>0.479911</td>\n",
+       "      <td>0.382885</td>\n",
+       "      <td>0.384224</td>\n",
+       "      <td>0.349115</td>\n",
+       "      <td>0.411453</td>\n",
+       "      <td>0.306964</td>\n",
+       "      <td>0.484738</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MCD</th>\n",
+       "      <td>-0.032453</td>\n",
+       "      <td>-0.003682</td>\n",
+       "      <td>0.027755</td>\n",
+       "      <td>0.010267</td>\n",
+       "      <td>0.017631</td>\n",
+       "      <td>-0.038825</td>\n",
+       "      <td>-0.016089</td>\n",
+       "      <td>0.010782</td>\n",
+       "      <td>-0.054651</td>\n",
+       "      <td>-0.045105</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.006914</td>\n",
+       "      <td>-0.029351</td>\n",
+       "      <td>-0.044150</td>\n",
+       "      <td>-0.059683</td>\n",
+       "      <td>-0.009430</td>\n",
+       "      <td>-0.030565</td>\n",
+       "      <td>-0.067445</td>\n",
+       "      <td>-0.037118</td>\n",
+       "      <td>-0.026569</td>\n",
+       "      <td>-0.073236</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SBUX</th>\n",
+       "      <td>0.711353</td>\n",
+       "      <td>0.527104</td>\n",
+       "      <td>0.390464</td>\n",
+       "      <td>0.384516</td>\n",
+       "      <td>0.343242</td>\n",
+       "      <td>0.401640</td>\n",
+       "      <td>0.285326</td>\n",
+       "      <td>0.457296</td>\n",
+       "      <td>0.494361</td>\n",
+       "      <td>0.480262</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.498375</td>\n",
+       "      <td>0.589911</td>\n",
+       "      <td>0.521928</td>\n",
+       "      <td>0.435321</td>\n",
+       "      <td>0.498597</td>\n",
+       "      <td>0.495905</td>\n",
+       "      <td>0.417440</td>\n",
+       "      <td>0.614769</td>\n",
+       "      <td>0.521976</td>\n",
+       "      <td>0.428090</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CLX</th>\n",
+       "      <td>0.309705</td>\n",
+       "      <td>0.260473</td>\n",
+       "      <td>0.075674</td>\n",
+       "      <td>0.162212</td>\n",
+       "      <td>0.061895</td>\n",
+       "      <td>0.291219</td>\n",
+       "      <td>0.124540</td>\n",
+       "      <td>0.162881</td>\n",
+       "      <td>0.189859</td>\n",
+       "      <td>0.350655</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.084340</td>\n",
+       "      <td>0.229408</td>\n",
+       "      <td>0.263170</td>\n",
+       "      <td>0.366733</td>\n",
+       "      <td>0.215692</td>\n",
+       "      <td>0.209413</td>\n",
+       "      <td>0.232319</td>\n",
+       "      <td>0.272367</td>\n",
+       "      <td>0.127619</td>\n",
+       "      <td>0.409847</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COST</th>\n",
+       "      <td>0.585711</td>\n",
+       "      <td>0.426380</td>\n",
+       "      <td>0.292254</td>\n",
+       "      <td>0.358869</td>\n",
+       "      <td>0.267241</td>\n",
+       "      <td>0.412793</td>\n",
+       "      <td>0.312532</td>\n",
+       "      <td>0.362922</td>\n",
+       "      <td>0.379336</td>\n",
+       "      <td>0.375531</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.286191</td>\n",
+       "      <td>0.442151</td>\n",
+       "      <td>0.487109</td>\n",
+       "      <td>0.472884</td>\n",
+       "      <td>0.419567</td>\n",
+       "      <td>0.403851</td>\n",
+       "      <td>0.436347</td>\n",
+       "      <td>0.477749</td>\n",
+       "      <td>0.324210</td>\n",
+       "      <td>0.351795</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PSX</th>\n",
+       "      <td>0.678114</td>\n",
+       "      <td>0.469504</td>\n",
+       "      <td>0.352132</td>\n",
+       "      <td>0.337503</td>\n",
+       "      <td>0.324386</td>\n",
+       "      <td>0.398428</td>\n",
+       "      <td>0.208610</td>\n",
+       "      <td>0.364246</td>\n",
+       "      <td>0.575444</td>\n",
+       "      <td>0.366028</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.548150</td>\n",
+       "      <td>0.570340</td>\n",
+       "      <td>0.373861</td>\n",
+       "      <td>0.459719</td>\n",
+       "      <td>0.513094</td>\n",
+       "      <td>0.402171</td>\n",
+       "      <td>0.531834</td>\n",
+       "      <td>0.571292</td>\n",
+       "      <td>0.346682</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BLK</th>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>0.574767</td>\n",
+       "      <td>0.431933</td>\n",
+       "      <td>0.480509</td>\n",
+       "      <td>0.454519</td>\n",
+       "      <td>0.505123</td>\n",
+       "      <td>0.343955</td>\n",
+       "      <td>0.517619</td>\n",
+       "      <td>0.632679</td>\n",
+       "      <td>0.487550</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.548150</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.775532</td>\n",
+       "      <td>0.538297</td>\n",
+       "      <td>0.573321</td>\n",
+       "      <td>0.615239</td>\n",
+       "      <td>0.529992</td>\n",
+       "      <td>0.679991</td>\n",
+       "      <td>0.624727</td>\n",
+       "      <td>0.430124</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TROW</th>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>0.618554</td>\n",
+       "      <td>0.409616</td>\n",
+       "      <td>0.446315</td>\n",
+       "      <td>0.411006</td>\n",
+       "      <td>0.535580</td>\n",
+       "      <td>0.336051</td>\n",
+       "      <td>0.482899</td>\n",
+       "      <td>0.637720</td>\n",
+       "      <td>0.449716</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.570340</td>\n",
+       "      <td>0.775532</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.509898</td>\n",
+       "      <td>0.531681</td>\n",
+       "      <td>0.603428</td>\n",
+       "      <td>0.580435</td>\n",
+       "      <td>0.634510</td>\n",
+       "      <td>0.531371</td>\n",
+       "      <td>0.380660</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>JNJ</th>\n",
+       "      <td>0.643808</td>\n",
+       "      <td>0.499977</td>\n",
+       "      <td>0.242864</td>\n",
+       "      <td>0.321677</td>\n",
+       "      <td>0.281382</td>\n",
+       "      <td>0.603870</td>\n",
+       "      <td>0.233285</td>\n",
+       "      <td>0.350679</td>\n",
+       "      <td>0.463809</td>\n",
+       "      <td>0.491896</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.373861</td>\n",
+       "      <td>0.538297</td>\n",
+       "      <td>0.509898</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.517897</td>\n",
+       "      <td>0.517249</td>\n",
+       "      <td>0.423147</td>\n",
+       "      <td>0.519326</td>\n",
+       "      <td>0.392377</td>\n",
+       "      <td>0.479065</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UNH</th>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>0.462337</td>\n",
+       "      <td>0.378167</td>\n",
+       "      <td>0.409963</td>\n",
+       "      <td>0.322509</td>\n",
+       "      <td>0.505540</td>\n",
+       "      <td>0.337498</td>\n",
+       "      <td>0.426561</td>\n",
+       "      <td>0.515648</td>\n",
+       "      <td>0.469692</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.459719</td>\n",
+       "      <td>0.573321</td>\n",
+       "      <td>0.531681</td>\n",
+       "      <td>0.517897</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.497279</td>\n",
+       "      <td>0.434074</td>\n",
+       "      <td>0.535468</td>\n",
+       "      <td>0.496914</td>\n",
+       "      <td>0.454074</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MMM</th>\n",
+       "      <td>0.705586</td>\n",
+       "      <td>0.493965</td>\n",
+       "      <td>0.319526</td>\n",
+       "      <td>0.428878</td>\n",
+       "      <td>0.369862</td>\n",
+       "      <td>0.474353</td>\n",
+       "      <td>0.268799</td>\n",
+       "      <td>0.380771</td>\n",
+       "      <td>0.612809</td>\n",
+       "      <td>0.375233</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.513094</td>\n",
+       "      <td>0.615239</td>\n",
+       "      <td>0.603428</td>\n",
+       "      <td>0.517249</td>\n",
+       "      <td>0.497279</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.544738</td>\n",
+       "      <td>0.577708</td>\n",
+       "      <td>0.564033</td>\n",
+       "      <td>0.362342</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UPS</th>\n",
+       "      <td>0.633569</td>\n",
+       "      <td>0.487937</td>\n",
+       "      <td>0.333839</td>\n",
+       "      <td>0.394818</td>\n",
+       "      <td>0.350588</td>\n",
+       "      <td>0.426225</td>\n",
+       "      <td>0.302649</td>\n",
+       "      <td>0.360656</td>\n",
+       "      <td>0.492406</td>\n",
+       "      <td>0.361974</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.402171</td>\n",
+       "      <td>0.529992</td>\n",
+       "      <td>0.580435</td>\n",
+       "      <td>0.423147</td>\n",
+       "      <td>0.434074</td>\n",
+       "      <td>0.544738</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.496321</td>\n",
+       "      <td>0.448070</td>\n",
+       "      <td>0.328822</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ACN</th>\n",
+       "      <td>0.808055</td>\n",
+       "      <td>0.591231</td>\n",
+       "      <td>0.459697</td>\n",
+       "      <td>0.482439</td>\n",
+       "      <td>0.443488</td>\n",
+       "      <td>0.477271</td>\n",
+       "      <td>0.378277</td>\n",
+       "      <td>0.573153</td>\n",
+       "      <td>0.585783</td>\n",
+       "      <td>0.540575</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.531834</td>\n",
+       "      <td>0.679991</td>\n",
+       "      <td>0.634510</td>\n",
+       "      <td>0.519326</td>\n",
+       "      <td>0.535468</td>\n",
+       "      <td>0.577708</td>\n",
+       "      <td>0.496321</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.581741</td>\n",
+       "      <td>0.465686</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PPG</th>\n",
+       "      <td>0.698629</td>\n",
+       "      <td>0.465708</td>\n",
+       "      <td>0.371528</td>\n",
+       "      <td>0.381751</td>\n",
+       "      <td>0.386716</td>\n",
+       "      <td>0.394458</td>\n",
+       "      <td>0.236955</td>\n",
+       "      <td>0.397626</td>\n",
+       "      <td>0.581516</td>\n",
+       "      <td>0.405584</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.571292</td>\n",
+       "      <td>0.624727</td>\n",
+       "      <td>0.531371</td>\n",
+       "      <td>0.392377</td>\n",
+       "      <td>0.496914</td>\n",
+       "      <td>0.564033</td>\n",
+       "      <td>0.448070</td>\n",
+       "      <td>0.581741</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.338004</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NEE</th>\n",
+       "      <td>0.562373</td>\n",
+       "      <td>0.397040</td>\n",
+       "      <td>0.277875</td>\n",
+       "      <td>0.273910</td>\n",
+       "      <td>0.163250</td>\n",
+       "      <td>0.411663</td>\n",
+       "      <td>0.150619</td>\n",
+       "      <td>0.297884</td>\n",
+       "      <td>0.422481</td>\n",
+       "      <td>0.637052</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.346682</td>\n",
+       "      <td>0.430124</td>\n",
+       "      <td>0.380660</td>\n",
+       "      <td>0.479065</td>\n",
+       "      <td>0.454074</td>\n",
+       "      <td>0.362342</td>\n",
+       "      <td>0.328822</td>\n",
+       "      <td>0.465686</td>\n",
+       "      <td>0.338004</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>29 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          SP500      ORCL        SQ      NVDA      BABA       PFE      NFLX  \\\n",
+       "SP500  1.000000  0.717214  0.567302  0.619705  0.550555  0.630865  0.477013   \n",
+       "ORCL   0.717214  1.000000  0.386958  0.440505  0.401409  0.489646  0.368666   \n",
+       "SQ     0.567302  0.386958  1.000000  0.497670  0.435255  0.266798  0.406967   \n",
+       "NVDA   0.619705  0.440505  0.497670  1.000000  0.511204  0.302971  0.432834   \n",
+       "BABA   0.550555  0.401409  0.435255  0.511204  1.000000  0.271929  0.424142   \n",
+       "PFE    0.630865  0.489646  0.266798  0.302971  0.271929  1.000000  0.255231   \n",
+       "NFLX   0.477013  0.368666  0.406967  0.432834  0.424142  0.255231  1.000000   \n",
+       "CRM    0.661607  0.519628  0.522806  0.518064  0.459182  0.343271  0.517518   \n",
+       "GD     0.718211  0.491460  0.352706  0.381814  0.351660  0.471287  0.269976   \n",
+       "AMT    0.610404  0.449295  0.308892  0.317262  0.256468  0.426877  0.224412   \n",
+       "HD     0.785353  0.541672  0.450287  0.498425  0.365700  0.474578  0.356924   \n",
+       "FB     0.632176  0.457322  0.436800  0.483370  0.471006  0.324569  0.472848   \n",
+       "MSFT   0.835836  0.646769  0.543734  0.605723  0.543635  0.485601  0.524701   \n",
+       "WMT    0.461816  0.395912  0.187875  0.277849  0.186634  0.380353  0.239978   \n",
+       "VZ     0.512857  0.386823  0.139478  0.207164  0.149580  0.429250  0.129282   \n",
+       "MCD   -0.032453 -0.003682  0.027755  0.010267  0.017631 -0.038825 -0.016089   \n",
+       "SBUX   0.711353  0.527104  0.390464  0.384516  0.343242  0.401640  0.285326   \n",
+       "CLX    0.309705  0.260473  0.075674  0.162212  0.061895  0.291219  0.124540   \n",
+       "COST   0.585711  0.426380  0.292254  0.358869  0.267241  0.412793  0.312532   \n",
+       "PSX    0.678114  0.469504  0.352132  0.337503  0.324386  0.398428  0.208610   \n",
+       "BLK    0.820446  0.574767  0.431933  0.480509  0.454519  0.505123  0.343955   \n",
+       "TROW   0.800011  0.618554  0.409616  0.446315  0.411006  0.535580  0.336051   \n",
+       "JNJ    0.643808  0.499977  0.242864  0.321677  0.281382  0.603870  0.233285   \n",
+       "UNH    0.708231  0.462337  0.378167  0.409963  0.322509  0.505540  0.337498   \n",
+       "MMM    0.705586  0.493965  0.319526  0.428878  0.369862  0.474353  0.268799   \n",
+       "UPS    0.633569  0.487937  0.333839  0.394818  0.350588  0.426225  0.302649   \n",
+       "ACN    0.808055  0.591231  0.459697  0.482439  0.443488  0.477271  0.378277   \n",
+       "PPG    0.698629  0.465708  0.371528  0.381751  0.386716  0.394458  0.236955   \n",
+       "NEE    0.562373  0.397040  0.277875  0.273910  0.163250  0.411663  0.150619   \n",
+       "\n",
+       "            CRM        GD       AMT  ...       PSX       BLK      TROW  \\\n",
+       "SP500  0.661607  0.718211  0.610404  ...  0.678114  0.820446  0.800011   \n",
+       "ORCL   0.519628  0.491460  0.449295  ...  0.469504  0.574767  0.618554   \n",
+       "SQ     0.522806  0.352706  0.308892  ...  0.352132  0.431933  0.409616   \n",
+       "NVDA   0.518064  0.381814  0.317262  ...  0.337503  0.480509  0.446315   \n",
+       "BABA   0.459182  0.351660  0.256468  ...  0.324386  0.454519  0.411006   \n",
+       "PFE    0.343271  0.471287  0.426877  ...  0.398428  0.505123  0.535580   \n",
+       "NFLX   0.517518  0.269976  0.224412  ...  0.208610  0.343955  0.336051   \n",
+       "CRM    1.000000  0.390746  0.385774  ...  0.364246  0.517619  0.482899   \n",
+       "GD     0.390746  1.000000  0.433965  ...  0.575444  0.632679  0.637720   \n",
+       "AMT    0.385774  0.433965  1.000000  ...  0.366028  0.487550  0.449716   \n",
+       "HD     0.533627  0.563125  0.492019  ...  0.482809  0.644194  0.585338   \n",
+       "FB     0.559551  0.346451  0.354050  ...  0.362557  0.452998  0.463954   \n",
+       "MSFT   0.689552  0.499636  0.499342  ...  0.479977  0.644817  0.620536   \n",
+       "WMT    0.260476  0.293014  0.348438  ...  0.212599  0.338067  0.406592   \n",
+       "VZ     0.219509  0.381099  0.416023  ...  0.335214  0.391162  0.414118   \n",
+       "MCD    0.010782 -0.054651 -0.045105  ... -0.006914 -0.029351 -0.044150   \n",
+       "SBUX   0.457296  0.494361  0.480262  ...  0.498375  0.589911  0.521928   \n",
+       "CLX    0.162881  0.189859  0.350655  ...  0.084340  0.229408  0.263170   \n",
+       "COST   0.362922  0.379336  0.375531  ...  0.286191  0.442151  0.487109   \n",
+       "PSX    0.364246  0.575444  0.366028  ...  1.000000  0.548150  0.570340   \n",
+       "BLK    0.517619  0.632679  0.487550  ...  0.548150  1.000000  0.775532   \n",
+       "TROW   0.482899  0.637720  0.449716  ...  0.570340  0.775532  1.000000   \n",
+       "JNJ    0.350679  0.463809  0.491896  ...  0.373861  0.538297  0.509898   \n",
+       "UNH    0.426561  0.515648  0.469692  ...  0.459719  0.573321  0.531681   \n",
+       "MMM    0.380771  0.612809  0.375233  ...  0.513094  0.615239  0.603428   \n",
+       "UPS    0.360656  0.492406  0.361974  ...  0.402171  0.529992  0.580435   \n",
+       "ACN    0.573153  0.585783  0.540575  ...  0.531834  0.679991  0.634510   \n",
+       "PPG    0.397626  0.581516  0.405584  ...  0.571292  0.624727  0.531371   \n",
+       "NEE    0.297884  0.422481  0.637052  ...  0.346682  0.430124  0.380660   \n",
+       "\n",
+       "            JNJ       UNH       MMM       UPS       ACN       PPG       NEE  \n",
+       "SP500  0.643808  0.708231  0.705586  0.633569  0.808055  0.698629  0.562373  \n",
+       "ORCL   0.499977  0.462337  0.493965  0.487937  0.591231  0.465708  0.397040  \n",
+       "SQ     0.242864  0.378167  0.319526  0.333839  0.459697  0.371528  0.277875  \n",
+       "NVDA   0.321677  0.409963  0.428878  0.394818  0.482439  0.381751  0.273910  \n",
+       "BABA   0.281382  0.322509  0.369862  0.350588  0.443488  0.386716  0.163250  \n",
+       "PFE    0.603870  0.505540  0.474353  0.426225  0.477271  0.394458  0.411663  \n",
+       "NFLX   0.233285  0.337498  0.268799  0.302649  0.378277  0.236955  0.150619  \n",
+       "CRM    0.350679  0.426561  0.380771  0.360656  0.573153  0.397626  0.297884  \n",
+       "GD     0.463809  0.515648  0.612809  0.492406  0.585783  0.581516  0.422481  \n",
+       "AMT    0.491896  0.469692  0.375233  0.361974  0.540575  0.405584  0.637052  \n",
+       "HD     0.455767  0.557355  0.544081  0.497412  0.658139  0.570022  0.475322  \n",
+       "FB     0.334978  0.396961  0.364097  0.367797  0.517254  0.355863  0.290893  \n",
+       "MSFT   0.519689  0.564042  0.515009  0.478763  0.704062  0.488388  0.440207  \n",
+       "WMT    0.399855  0.332521  0.317887  0.349254  0.360491  0.218643  0.367207  \n",
+       "VZ     0.479911  0.382885  0.384224  0.349115  0.411453  0.306964  0.484738  \n",
+       "MCD   -0.059683 -0.009430 -0.030565 -0.067445 -0.037118 -0.026569 -0.073236  \n",
+       "SBUX   0.435321  0.498597  0.495905  0.417440  0.614769  0.521976  0.428090  \n",
+       "CLX    0.366733  0.215692  0.209413  0.232319  0.272367  0.127619  0.409847  \n",
+       "COST   0.472884  0.419567  0.403851  0.436347  0.477749  0.324210  0.351795  \n",
+       "PSX    0.373861  0.459719  0.513094  0.402171  0.531834  0.571292  0.346682  \n",
+       "BLK    0.538297  0.573321  0.615239  0.529992  0.679991  0.624727  0.430124  \n",
+       "TROW   0.509898  0.531681  0.603428  0.580435  0.634510  0.531371  0.380660  \n",
+       "JNJ    1.000000  0.517897  0.517249  0.423147  0.519326  0.392377  0.479065  \n",
+       "UNH    0.517897  1.000000  0.497279  0.434074  0.535468  0.496914  0.454074  \n",
+       "MMM    0.517249  0.497279  1.000000  0.544738  0.577708  0.564033  0.362342  \n",
+       "UPS    0.423147  0.434074  0.544738  1.000000  0.496321  0.448070  0.328822  \n",
+       "ACN    0.519326  0.535468  0.577708  0.496321  1.000000  0.581741  0.465686  \n",
+       "PPG    0.392377  0.496914  0.564033  0.448070  0.581741  1.000000  0.338004  \n",
+       "NEE    0.479065  0.454074  0.362342  0.328822  0.465686  0.338004  1.000000  \n",
+       "\n",
+       "[29 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#calculating Correlation of portfolio stocks to the stock market\n",
+    "\n",
+    "correlation_of_portfolio = daily_returns_of_SP500_general_stock_picks.corr()\n",
+    "\n",
+    "correlation_of_portfolio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x1080 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Visualization of the Correlations\n",
+    "\n",
+    "plt.subplots(figsize=(20,15))\n",
+    "sns.heatmap(correlation_of_portfolio);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Creating a Formula that will help us determine which stocks we will pick in our Portfolio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Beta</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Stock</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.976955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>1.573336</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.976955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.925997</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.708603</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           Beta\n",
+       "Stock          \n",
+       "ORCL   0.976955\n",
+       "SQ     1.573336\n",
+       "NVDA   0.976955\n",
+       "BABA   0.925997\n",
+       "PFE    0.708603"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Creating a df to compare beta and correlations\n",
+    "\n",
+    "raw_beta = {\n",
+    "  \"ORCL\": ORCL_beta,\n",
+    "  \"SQ\" : SQ_beta,\n",
+    "  \"NVDA\": ORCL_beta,\n",
+    "  \"BABA\": BABA_beta,\n",
+    "  \"PFE\": PFE_beta,\n",
+    "  \"NFLX\": NFLX_beta,\n",
+    "  \"CRM\": CRM_beta,\n",
+    "  \"GD\": GD_beta,\n",
+    "  \"AMT\": AMT_beta,\n",
+    "  \"HD\": HD_beta,\n",
+    "  \"FB\": FB_beta,\n",
+    "  \"MSFT\": MSFT_beta,\n",
+    "  \"WMT\": WMT_beta,\n",
+    "  \"VZ\": VZ_beta,\n",
+    "  \"MCD\": MCD_beta,\n",
+    "  \"SBUX\": SBUX_beta,\n",
+    "  \"CLX\": CLX_beta,\n",
+    "  \"COST\": COST_beta,\n",
+    "  \"PSX\": PSX_beta,\n",
+    "  \"BLK\": BLK_beta,\n",
+    "  \"TROW\": TROW_beta,\n",
+    "  \"JNJ\": JNJ_beta,\n",
+    "  \"UNH\": UNH_beta,\n",
+    "  \"MMM\": MMM_beta,\n",
+    "  \"UPS\": UPS_beta,\n",
+    "  \"ACN\": ACN_beta,\n",
+    "  \"PPG\": PPG_beta,\n",
+    "  \"NEE\": NEE_beta\n",
+    "}\n",
+    "beta_df = pd.DataFrame(list(raw_beta.items()),columns = ['Stock','Beta']) \n",
+    "\n",
+    "beta_df.set_index('Stock', inplace=True)\n",
+    "\n",
+    "beta_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>SP500</th>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.717214</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>0.567302</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.619705</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.550555</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          SP500\n",
+       "SP500  1.000000\n",
+       "ORCL   0.717214\n",
+       "SQ     0.567302\n",
+       "NVDA   0.619705\n",
+       "BABA   0.550555"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#dropping excess correlations to show only correlation of Portfolio to SP500\n",
+    "\n",
+    "correlation_of_portfolio_only_to_SP500 = correlation_of_portfolio.drop(columns=['ORCL','SQ','NVDA','BABA','PFE','NFLX','CRM','GD','AMT','HD','FB','MSFT','WMT', 'VZ','MCD','SBUX','CLX','COST','PSX','BLK','TROW','JNJ','UNH','MMM','UPS','ACN','PPG','NEE'])\n",
+    "\n",
+    "correlation_of_portfolio_only_to_SP500.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Beta</th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.717214</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>1.573336</td>\n",
+       "      <td>0.567302</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.619705</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.925997</td>\n",
+       "      <td>0.550555</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.708603</td>\n",
+       "      <td>0.630865</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Beta     SP500\n",
+       "ORCL  0.976955  0.717214\n",
+       "SQ    1.573336  0.567302\n",
+       "NVDA  0.976955  0.619705\n",
+       "BABA  0.925997  0.550555\n",
+       "PFE   0.708603  0.630865"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#combining both df's\n",
+    "\n",
+    "correlation_beta_df = pd.concat([beta_df,correlation_of_portfolio_only_to_SP500], axis='columns', join='outer')\n",
+    "\n",
+    "correlation_beta_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#creating our formula to decide how we choose stocks\n",
+    "\n",
+    "correlation_beta_df['Beta/SP500'] = correlation_beta_df['Beta']/correlation_beta_df['SP500']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Beta</th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>Beta/SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>1.362152</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>1.573336</td>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>2.773364</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>1.576484</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.925997</td>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>1.681935</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.708603</td>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>1.123225</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Beta     SP500  Beta/SP500\n",
+       "ORCL  0.976955  0.717214    1.362152\n",
+       "SQ    1.573336  0.567302    2.773364\n",
+       "NVDA  0.976955  0.619705    1.576484\n",
+       "BABA  0.925997  0.550555    1.681935\n",
+       "PFE   0.708603  0.630865    1.123225"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#implementing our formula\n",
+    "\n",
+    "\n",
+    "correlation_beta_df.dropna(inplace=True)\n",
+    "\n",
+    "correlation_beta_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Beta</th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>Beta/SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>MCD</th>\n",
+       "      <td>-0.031713</td>\n",
+       "      <td>-0.032453</td>\n",
+       "      <td>0.977200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>VZ</th>\n",
+       "      <td>0.517081</td>\n",
+       "      <td>0.512857</td>\n",
+       "      <td>1.008236</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>JNJ</th>\n",
+       "      <td>0.663617</td>\n",
+       "      <td>0.643808</td>\n",
+       "      <td>1.030768</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COST</th>\n",
+       "      <td>0.652210</td>\n",
+       "      <td>0.585711</td>\n",
+       "      <td>1.113536</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.708603</td>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>1.123225</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CLX</th>\n",
+       "      <td>0.349327</td>\n",
+       "      <td>0.309705</td>\n",
+       "      <td>1.127936</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>WMT</th>\n",
+       "      <td>0.537768</td>\n",
+       "      <td>0.461816</td>\n",
+       "      <td>1.164464</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NEE</th>\n",
+       "      <td>0.677376</td>\n",
+       "      <td>0.562373</td>\n",
+       "      <td>1.204495</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>GD</th>\n",
+       "      <td>0.916454</td>\n",
+       "      <td>0.718211</td>\n",
+       "      <td>1.276024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MMM</th>\n",
+       "      <td>0.901159</td>\n",
+       "      <td>0.705586</td>\n",
+       "      <td>1.277179</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ACN</th>\n",
+       "      <td>1.057432</td>\n",
+       "      <td>0.808055</td>\n",
+       "      <td>1.308614</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UPS</th>\n",
+       "      <td>0.835932</td>\n",
+       "      <td>0.633569</td>\n",
+       "      <td>1.319401</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HD</th>\n",
+       "      <td>1.044135</td>\n",
+       "      <td>0.785353</td>\n",
+       "      <td>1.329509</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.821152</td>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>1.345260</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>1.362152</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PPG</th>\n",
+       "      <td>0.974695</td>\n",
+       "      <td>0.698629</td>\n",
+       "      <td>1.395153</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SBUX</th>\n",
+       "      <td>1.001966</td>\n",
+       "      <td>0.711353</td>\n",
+       "      <td>1.408537</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>1.199711</td>\n",
+       "      <td>0.835836</td>\n",
+       "      <td>1.435343</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UNH</th>\n",
+       "      <td>1.034679</td>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>1.460935</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TROW</th>\n",
+       "      <td>1.210759</td>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>1.513428</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BLK</th>\n",
+       "      <td>1.244514</td>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>1.516876</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>1.576484</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FB</th>\n",
+       "      <td>1.063249</td>\n",
+       "      <td>0.632176</td>\n",
+       "      <td>1.681887</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.925997</td>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>1.681935</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CRM</th>\n",
+       "      <td>1.174147</td>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>1.774688</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PSX</th>\n",
+       "      <td>1.210977</td>\n",
+       "      <td>0.678114</td>\n",
+       "      <td>1.785802</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NFLX</th>\n",
+       "      <td>1.001225</td>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>2.098947</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>1.573336</td>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>2.773364</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Beta     SP500  Beta/SP500\n",
+       "MCD  -0.031713 -0.032453    0.977200\n",
+       "VZ    0.517081  0.512857    1.008236\n",
+       "JNJ   0.663617  0.643808    1.030768\n",
+       "COST  0.652210  0.585711    1.113536\n",
+       "PFE   0.708603  0.630865    1.123225\n",
+       "CLX   0.349327  0.309705    1.127936\n",
+       "WMT   0.537768  0.461816    1.164464\n",
+       "NEE   0.677376  0.562373    1.204495\n",
+       "GD    0.916454  0.718211    1.276024\n",
+       "MMM   0.901159  0.705586    1.277179\n",
+       "ACN   1.057432  0.808055    1.308614\n",
+       "UPS   0.835932  0.633569    1.319401\n",
+       "HD    1.044135  0.785353    1.329509\n",
+       "AMT   0.821152  0.610404    1.345260\n",
+       "ORCL  0.976955  0.717214    1.362152\n",
+       "PPG   0.974695  0.698629    1.395153\n",
+       "SBUX  1.001966  0.711353    1.408537\n",
+       "MSFT  1.199711  0.835836    1.435343\n",
+       "UNH   1.034679  0.708231    1.460935\n",
+       "TROW  1.210759  0.800011    1.513428\n",
+       "BLK   1.244514  0.820446    1.516876\n",
+       "NVDA  0.976955  0.619705    1.576484\n",
+       "FB    1.063249  0.632176    1.681887\n",
+       "BABA  0.925997  0.550555    1.681935\n",
+       "CRM   1.174147  0.661607    1.774688\n",
+       "PSX   1.210977  0.678114    1.785802\n",
+       "NFLX  1.001225  0.477013    2.098947\n",
+       "SQ    1.573336  0.567302    2.773364"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Reading the data in ascending order\n",
+    "\n",
+    "correlation_beta_df.sort_values('Beta/SP500', ascending=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "From here we decided to use our new formula to pick the stocks with the highest numeric value. We did however take the executive decision to replace 2 stocks PSX with PFE and SBUX with COST. The reason behind this was because we did not believe in the reliability of energy sector and Costco seemed to have better future growth capabilities. Our portfolio consist of the following stocks: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ.\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(F\"From here we decided to use our new formula to pick the stocks with the highest numeric value. We did however take the executive decision to replace 2 stocks PSX with PFE and SBUX with COST. The reason behind this was because we did not believe in the reliability of energy sector and Costco seemed to have better future growth capabilities. Our portfolio consist of the following stocks: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Analyze the S&P500 with our Final Portfolio Positions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.38</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>102.49</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>158.38</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.28</td>\n",
+       "      <td>103.37</td>\n",
+       "      <td>100.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>...</td>\n",
+       "      <td>91.67</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>102.48</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>158.95</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>104.62</td>\n",
+       "      <td>101.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.17</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>102.77</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>158.65</td>\n",
+       "      <td>103.59</td>\n",
+       "      <td>107.84</td>\n",
+       "      <td>105.47</td>\n",
+       "      <td>100.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>...</td>\n",
+       "      <td>93.13</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>102.04</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>157.75</td>\n",
+       "      <td>103.40</td>\n",
+       "      <td>107.35</td>\n",
+       "      <td>105.49</td>\n",
+       "      <td>99.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.77</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>101.96</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>157.63</td>\n",
+       "      <td>103.49</td>\n",
+       "      <td>107.10</td>\n",
+       "      <td>106.46</td>\n",
+       "      <td>98.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>138.210007</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>140.919998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>...</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>138.550003</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>138.429993</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>...</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>138.220001</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>...</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  SP500       ORCL          SQ        NVDA        BABA  \\\n",
+       "2015-11-19  2081.239990  36.108597   13.070000   30.458263   77.870003   \n",
+       "2015-11-20  2089.169922  36.404728   12.850000   30.722525   79.949997   \n",
+       "2015-11-23  2086.590088  36.219639   12.120000   30.262524   81.309998   \n",
+       "2015-11-24  2089.139893  36.515770   12.020000   30.507206   80.860001   \n",
+       "2015-11-25  2088.870117  36.330700   11.900000   30.468054   81.709999   \n",
+       "...                 ...        ...         ...         ...         ...   \n",
+       "2020-09-25  3298.459961  59.799999  157.720001  514.950012  271.089996   \n",
+       "2020-09-28  3351.600098  59.580002  160.759995  521.400024  276.010010   \n",
+       "2020-09-29  3335.469971  59.470001  164.809998  529.030029  276.929993   \n",
+       "2020-09-30  3363.000000  59.700001  162.550003  541.219971  293.980011   \n",
+       "2020-10-01  3380.800049  59.680000  168.490005  544.580017  290.049988   \n",
+       "\n",
+       "                  PFE        NFLX         CRM          GD     AMT  ...    PSX  \\\n",
+       "2015-11-19  27.049994  120.220001   80.639999  130.626297   99.63  ...  92.38   \n",
+       "2015-11-20  26.957846  123.839996   80.989998  130.896194  100.49  ...  91.67   \n",
+       "2015-11-23  26.245783  125.029999   80.779999  130.077530   99.94  ...  92.17   \n",
+       "2015-11-24  26.781923  123.309998   80.389999  130.923172   99.26  ...  93.13   \n",
+       "2015-11-25  27.535873  124.160004   80.410004  130.608292   99.09  ...  92.77   \n",
+       "...               ...         ...         ...         ...     ...  ...    ...   \n",
+       "2020-09-25  36.049999  482.880005  242.740005  138.210007  239.81  ...  52.88   \n",
+       "2020-09-28  36.389999  490.649994  246.669998  140.919998  240.00  ...  53.98   \n",
+       "2020-09-29  36.169998  493.480011  247.449997  138.550003  240.12  ...  52.19   \n",
+       "2020-09-30  36.700001  500.029999  251.320007  138.429993  241.73  ...  51.84   \n",
+       "2020-10-01  36.369999  527.510010  253.449997  138.220001  242.15  ...  50.28   \n",
+       "\n",
+       "               BLK    TROW     JNJ     UNH     MMM     UPS     ACN     PPG  \\\n",
+       "2015-11-19  359.09   76.38  102.49  110.63  158.38  104.10  107.28  103.37   \n",
+       "2015-11-20  362.46   76.37  102.48  112.97  158.95  104.10  107.97  104.62   \n",
+       "2015-11-23  363.25   76.15  102.77  112.16  158.65  103.59  107.84  105.47   \n",
+       "2015-11-24  356.81   75.62  102.04  113.19  157.75  103.40  107.35  105.49   \n",
+       "2015-11-25  360.62   76.01  101.96  114.41  157.63  103.49  107.10  106.46   \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...   \n",
+       "2020-09-25  547.81  125.22  145.66  302.50  160.27  166.12  214.63  120.25   \n",
+       "2020-09-28  558.65  128.55  147.11  303.23  161.66  168.90  222.78  121.74   \n",
+       "2020-09-29  554.80  127.49  147.06  304.15  159.81  168.50  224.08  120.33   \n",
+       "2020-09-30  563.55  128.22  148.88  311.77  160.18  166.63  225.99  122.08   \n",
+       "2020-10-01  567.91  128.04  147.32  313.07  158.79  167.65  225.18  121.78   \n",
+       "\n",
+       "               NEE  \n",
+       "2015-11-19  100.99  \n",
+       "2015-11-20  101.02  \n",
+       "2015-11-23  100.49  \n",
+       "2015-11-24   99.41  \n",
+       "2015-11-25   98.88  \n",
+       "...            ...  \n",
+       "2020-09-25  281.82  \n",
+       "2020-09-28  284.14  \n",
+       "2020-09-29  283.12  \n",
+       "2020-09-30  277.56  \n",
+       "2020-10-01  282.76  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    " # Set the file paths for the CSVs \n",
+    "Combined_portfolio =  Path(\"../CSVs/combined_close_data_SP500_group_portfolio.csv\")\n",
+    "\n",
+    "\n",
+    "# Read the daily closing prices of MSFT, set the `date` as a datetime index\n",
+    "combined_portfolio_df = pd.read_csv(Combined_portfolio, index_col=0, parse_dates=True, infer_datetime_format=True)\n",
+    "\n",
+    "combined_portfolio_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.002066</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.007686</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>-0.000098</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.003599</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.006432</td>\n",
+       "      <td>0.012092</td>\n",
+       "      <td>0.000297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.006254</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.005454</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>0.002830</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>-0.001887</td>\n",
+       "      <td>-0.004899</td>\n",
+       "      <td>-0.001204</td>\n",
+       "      <td>0.008125</td>\n",
+       "      <td>-0.005246</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>0.006501</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.010416</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>-0.007103</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>-0.005673</td>\n",
+       "      <td>-0.001834</td>\n",
+       "      <td>-0.004544</td>\n",
+       "      <td>0.000190</td>\n",
+       "      <td>-0.010747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.002405</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.003866</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>-0.000784</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>-0.000761</td>\n",
+       "      <td>0.000870</td>\n",
+       "      <td>-0.002329</td>\n",
+       "      <td>0.009195</td>\n",
+       "      <td>-0.005331</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.002617</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.000108</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>0.004021</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>0.002284</td>\n",
+       "      <td>0.006667</td>\n",
+       "      <td>0.003361</td>\n",
+       "      <td>-0.002348</td>\n",
+       "      <td>0.004956</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500      ORCL        SQ      NVDA      BABA       PFE  \\\n",
+       "2015-11-20  0.003810  0.008201 -0.016832  0.008676  0.026711 -0.003407   \n",
+       "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973  0.017011 -0.026414   \n",
+       "2015-11-24  0.001222  0.008176 -0.008251  0.008085 -0.005534  0.020428   \n",
+       "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283  0.010512  0.028151   \n",
+       "2015-11-27  0.000594 -0.002038  0.012605  0.008352 -0.004039 -0.002434   \n",
+       "\n",
+       "                NFLX       CRM        GD       AMT  ...       PSX       BLK  \\\n",
+       "2015-11-20  0.030111  0.004340  0.002066  0.008632  ... -0.007686  0.009385   \n",
+       "2015-11-23  0.009609 -0.002593 -0.006254 -0.005473  ...  0.005454  0.002180   \n",
+       "2015-11-24 -0.013757 -0.004828  0.006501 -0.006804  ...  0.010416 -0.017729   \n",
+       "2015-11-25  0.006893  0.000249 -0.002405 -0.001713  ... -0.003866  0.010678   \n",
+       "2015-11-27  0.010309 -0.005472  0.002617  0.005954  ... -0.000108 -0.006184   \n",
+       "\n",
+       "                TROW       JNJ       UNH       MMM       UPS       ACN  \\\n",
+       "2015-11-20 -0.000131 -0.000098  0.021152  0.003599  0.000000  0.006432   \n",
+       "2015-11-23 -0.002881  0.002830 -0.007170 -0.001887 -0.004899 -0.001204   \n",
+       "2015-11-24 -0.006960 -0.007103  0.009183 -0.005673 -0.001834 -0.004544   \n",
+       "2015-11-25  0.005157 -0.000784  0.010778 -0.000761  0.000870 -0.002329   \n",
+       "2015-11-27 -0.000789  0.004021 -0.000612  0.002284  0.006667  0.003361   \n",
+       "\n",
+       "                 PPG       NEE  \n",
+       "2015-11-20  0.012092  0.000297  \n",
+       "2015-11-23  0.008125 -0.005246  \n",
+       "2015-11-24  0.000190 -0.010747  \n",
+       "2015-11-25  0.009195 -0.005331  \n",
+       "2015-11-27 -0.002348  0.004956  \n",
+       "\n",
+       "[5 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "daily_returns = combined_portfolio_df.pct_change()\n",
+    "daily_returns.head()\n",
+    "\n",
+    "daily_returns.dropna(inplace=True)\n",
+    "\n",
+    "daily_returns.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>PPG</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>0.009976</td>\n",
+       "      <td>0.004635</td>\n",
+       "      <td>0.001658</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.012092</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>-0.003448</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.002146</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>0.008125</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>-0.011314</td>\n",
+       "      <td>0.001107</td>\n",
+       "      <td>-0.007709</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>0.000190</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>-0.003121</td>\n",
+       "      <td>-0.010323</td>\n",
+       "      <td>0.001233</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>0.009195</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>0.000379</td>\n",
+       "      <td>0.004470</td>\n",
+       "      <td>0.007328</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>-0.002348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.015977</td>\n",
+       "      <td>0.008432</td>\n",
+       "      <td>0.035520</td>\n",
+       "      <td>0.042578</td>\n",
+       "      <td>0.005042</td>\n",
+       "      <td>0.008110</td>\n",
+       "      <td>0.020715</td>\n",
+       "      <td>0.021848</td>\n",
+       "      <td>0.015370</td>\n",
+       "      <td>0.021200</td>\n",
+       "      <td>0.022787</td>\n",
+       "      <td>-0.012738</td>\n",
+       "      <td>0.023848</td>\n",
+       "      <td>0.014502</td>\n",
+       "      <td>0.033623</td>\n",
+       "      <td>0.010929</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.016111</td>\n",
+       "      <td>-0.003679</td>\n",
+       "      <td>0.019275</td>\n",
+       "      <td>0.012526</td>\n",
+       "      <td>0.018149</td>\n",
+       "      <td>0.009431</td>\n",
+       "      <td>0.016091</td>\n",
+       "      <td>0.016190</td>\n",
+       "      <td>0.000792</td>\n",
+       "      <td>0.007849</td>\n",
+       "      <td>0.007795</td>\n",
+       "      <td>0.020550</td>\n",
+       "      <td>0.019788</td>\n",
+       "      <td>0.026593</td>\n",
+       "      <td>0.002413</td>\n",
+       "      <td>0.012391</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.004813</td>\n",
+       "      <td>-0.001846</td>\n",
+       "      <td>0.025193</td>\n",
+       "      <td>0.014634</td>\n",
+       "      <td>0.003333</td>\n",
+       "      <td>-0.006046</td>\n",
+       "      <td>0.005768</td>\n",
+       "      <td>0.003162</td>\n",
+       "      <td>0.000500</td>\n",
+       "      <td>0.019352</td>\n",
+       "      <td>-0.010409</td>\n",
+       "      <td>0.007208</td>\n",
+       "      <td>-0.006892</td>\n",
+       "      <td>-0.008246</td>\n",
+       "      <td>0.003034</td>\n",
+       "      <td>-0.011582</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.008254</td>\n",
+       "      <td>0.003867</td>\n",
+       "      <td>-0.013713</td>\n",
+       "      <td>0.023042</td>\n",
+       "      <td>0.061568</td>\n",
+       "      <td>0.014653</td>\n",
+       "      <td>0.013273</td>\n",
+       "      <td>0.015640</td>\n",
+       "      <td>0.006705</td>\n",
+       "      <td>0.000420</td>\n",
+       "      <td>0.014812</td>\n",
+       "      <td>0.008122</td>\n",
+       "      <td>0.015771</td>\n",
+       "      <td>0.005726</td>\n",
+       "      <td>0.025053</td>\n",
+       "      <td>0.014543</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.005293</td>\n",
+       "      <td>-0.000335</td>\n",
+       "      <td>0.036543</td>\n",
+       "      <td>0.006208</td>\n",
+       "      <td>-0.013368</td>\n",
+       "      <td>-0.008992</td>\n",
+       "      <td>0.054957</td>\n",
+       "      <td>0.008475</td>\n",
+       "      <td>0.001737</td>\n",
+       "      <td>0.018060</td>\n",
+       "      <td>0.010127</td>\n",
+       "      <td>0.009746</td>\n",
+       "      <td>0.007737</td>\n",
+       "      <td>-0.001404</td>\n",
+       "      <td>0.004170</td>\n",
+       "      <td>-0.002457</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500      ORCL        SQ      NVDA      BABA       PFE  \\\n",
+       "2015-11-20  0.003810  0.008201 -0.016832  0.008676  0.026711 -0.003407   \n",
+       "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973  0.017011 -0.026414   \n",
+       "2015-11-24  0.001222  0.008176 -0.008251  0.008085 -0.005534  0.020428   \n",
+       "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283  0.010512  0.028151   \n",
+       "2015-11-27  0.000594 -0.002038  0.012605  0.008352 -0.004039 -0.002434   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.015977  0.008432  0.035520  0.042578  0.005042  0.008110   \n",
+       "2020-09-28  0.016111 -0.003679  0.019275  0.012526  0.018149  0.009431   \n",
+       "2020-09-29 -0.004813 -0.001846  0.025193  0.014634  0.003333 -0.006046   \n",
+       "2020-09-30  0.008254  0.003867 -0.013713  0.023042  0.061568  0.014653   \n",
+       "2020-10-01  0.005293 -0.000335  0.036543  0.006208 -0.013368 -0.008992   \n",
+       "\n",
+       "                NFLX       CRM       AMT        FB      MSFT      COST  \\\n",
+       "2015-11-20  0.030111  0.004340  0.008632  0.009976  0.004635  0.001658   \n",
+       "2015-11-23  0.009609 -0.002593 -0.005473 -0.003448  0.000000  0.002146   \n",
+       "2015-11-24 -0.013757 -0.004828 -0.006804 -0.011314  0.001107 -0.007709   \n",
+       "2015-11-25  0.006893  0.000249 -0.001713 -0.003121 -0.010323  0.001233   \n",
+       "2015-11-27  0.010309 -0.005472  0.005954  0.000379  0.004470  0.007328   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.020715  0.021848  0.015370  0.021200  0.022787 -0.012738   \n",
+       "2020-09-28  0.016091  0.016190  0.000792  0.007849  0.007795  0.020550   \n",
+       "2020-09-29  0.005768  0.003162  0.000500  0.019352 -0.010409  0.007208   \n",
+       "2020-09-30  0.013273  0.015640  0.006705  0.000420  0.014812  0.008122   \n",
+       "2020-10-01  0.054957  0.008475  0.001737  0.018060  0.010127  0.009746   \n",
+       "\n",
+       "                 BLK      TROW       UNH       PPG  \n",
+       "2015-11-20  0.009385 -0.000131  0.021152  0.012092  \n",
+       "2015-11-23  0.002180 -0.002881 -0.007170  0.008125  \n",
+       "2015-11-24 -0.017729 -0.006960  0.009183  0.000190  \n",
+       "2015-11-25  0.010678  0.005157  0.010778  0.009195  \n",
+       "2015-11-27 -0.006184 -0.000789 -0.000612 -0.002348  \n",
+       "...              ...       ...       ...       ...  \n",
+       "2020-09-25  0.023848  0.014502  0.033623  0.010929  \n",
+       "2020-09-28  0.019788  0.026593  0.002413  0.012391  \n",
+       "2020-09-29 -0.006892 -0.008246  0.003034 -0.011582  \n",
+       "2020-09-30  0.015771  0.005726  0.025053  0.014543  \n",
+       "2020-10-01  0.007737 -0.001404  0.004170 -0.002457  \n",
+       "\n",
+       "[1224 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Drop stocks that are not being used in our portfolio\n",
+    "#Keep the following: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ\n",
+    "\n",
+    "Portfolio_returns= daily_returns.drop(columns=['GD','HD','WMT', 'VZ','MCD','SBUX','CLX','PSX','JNJ','MMM','UPS','ACN','NEE'])\n",
+    "\n",
+    "Core_returns= Portfolio_returns\n",
+    "\n",
+    "Core_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>PPG</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>SP500</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>0.632176</td>\n",
+       "      <td>0.835836</td>\n",
+       "      <td>0.585711</td>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>0.698629</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.386958</td>\n",
+       "      <td>0.440505</td>\n",
+       "      <td>0.401409</td>\n",
+       "      <td>0.489646</td>\n",
+       "      <td>0.368666</td>\n",
+       "      <td>0.519628</td>\n",
+       "      <td>0.449295</td>\n",
+       "      <td>0.457322</td>\n",
+       "      <td>0.646769</td>\n",
+       "      <td>0.426380</td>\n",
+       "      <td>0.574767</td>\n",
+       "      <td>0.618554</td>\n",
+       "      <td>0.462337</td>\n",
+       "      <td>0.465708</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>0.386958</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.497670</td>\n",
+       "      <td>0.435255</td>\n",
+       "      <td>0.266798</td>\n",
+       "      <td>0.406967</td>\n",
+       "      <td>0.522806</td>\n",
+       "      <td>0.308892</td>\n",
+       "      <td>0.436800</td>\n",
+       "      <td>0.543734</td>\n",
+       "      <td>0.292254</td>\n",
+       "      <td>0.431933</td>\n",
+       "      <td>0.409616</td>\n",
+       "      <td>0.378167</td>\n",
+       "      <td>0.371528</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>0.440505</td>\n",
+       "      <td>0.497670</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.511204</td>\n",
+       "      <td>0.302971</td>\n",
+       "      <td>0.432834</td>\n",
+       "      <td>0.518064</td>\n",
+       "      <td>0.317262</td>\n",
+       "      <td>0.483370</td>\n",
+       "      <td>0.605723</td>\n",
+       "      <td>0.358869</td>\n",
+       "      <td>0.480509</td>\n",
+       "      <td>0.446315</td>\n",
+       "      <td>0.409963</td>\n",
+       "      <td>0.381751</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>0.401409</td>\n",
+       "      <td>0.435255</td>\n",
+       "      <td>0.511204</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.271929</td>\n",
+       "      <td>0.424142</td>\n",
+       "      <td>0.459182</td>\n",
+       "      <td>0.256468</td>\n",
+       "      <td>0.471006</td>\n",
+       "      <td>0.543635</td>\n",
+       "      <td>0.267241</td>\n",
+       "      <td>0.454519</td>\n",
+       "      <td>0.411006</td>\n",
+       "      <td>0.322509</td>\n",
+       "      <td>0.386716</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>0.489646</td>\n",
+       "      <td>0.266798</td>\n",
+       "      <td>0.302971</td>\n",
+       "      <td>0.271929</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.255231</td>\n",
+       "      <td>0.343271</td>\n",
+       "      <td>0.426877</td>\n",
+       "      <td>0.324569</td>\n",
+       "      <td>0.485601</td>\n",
+       "      <td>0.412793</td>\n",
+       "      <td>0.505123</td>\n",
+       "      <td>0.535580</td>\n",
+       "      <td>0.505540</td>\n",
+       "      <td>0.394458</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NFLX</th>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>0.368666</td>\n",
+       "      <td>0.406967</td>\n",
+       "      <td>0.432834</td>\n",
+       "      <td>0.424142</td>\n",
+       "      <td>0.255231</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.517518</td>\n",
+       "      <td>0.224412</td>\n",
+       "      <td>0.472848</td>\n",
+       "      <td>0.524701</td>\n",
+       "      <td>0.312532</td>\n",
+       "      <td>0.343955</td>\n",
+       "      <td>0.336051</td>\n",
+       "      <td>0.337498</td>\n",
+       "      <td>0.236955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CRM</th>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>0.519628</td>\n",
+       "      <td>0.522806</td>\n",
+       "      <td>0.518064</td>\n",
+       "      <td>0.459182</td>\n",
+       "      <td>0.343271</td>\n",
+       "      <td>0.517518</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.385774</td>\n",
+       "      <td>0.559551</td>\n",
+       "      <td>0.689552</td>\n",
+       "      <td>0.362922</td>\n",
+       "      <td>0.517619</td>\n",
+       "      <td>0.482899</td>\n",
+       "      <td>0.426561</td>\n",
+       "      <td>0.397626</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>0.449295</td>\n",
+       "      <td>0.308892</td>\n",
+       "      <td>0.317262</td>\n",
+       "      <td>0.256468</td>\n",
+       "      <td>0.426877</td>\n",
+       "      <td>0.224412</td>\n",
+       "      <td>0.385774</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.354050</td>\n",
+       "      <td>0.499342</td>\n",
+       "      <td>0.375531</td>\n",
+       "      <td>0.487550</td>\n",
+       "      <td>0.449716</td>\n",
+       "      <td>0.469692</td>\n",
+       "      <td>0.405584</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FB</th>\n",
+       "      <td>0.632176</td>\n",
+       "      <td>0.457322</td>\n",
+       "      <td>0.436800</td>\n",
+       "      <td>0.483370</td>\n",
+       "      <td>0.471006</td>\n",
+       "      <td>0.324569</td>\n",
+       "      <td>0.472848</td>\n",
+       "      <td>0.559551</td>\n",
+       "      <td>0.354050</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.629071</td>\n",
+       "      <td>0.333109</td>\n",
+       "      <td>0.452998</td>\n",
+       "      <td>0.463954</td>\n",
+       "      <td>0.396961</td>\n",
+       "      <td>0.355863</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>0.835836</td>\n",
+       "      <td>0.646769</td>\n",
+       "      <td>0.543734</td>\n",
+       "      <td>0.605723</td>\n",
+       "      <td>0.543635</td>\n",
+       "      <td>0.485601</td>\n",
+       "      <td>0.524701</td>\n",
+       "      <td>0.689552</td>\n",
+       "      <td>0.499342</td>\n",
+       "      <td>0.629071</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.534779</td>\n",
+       "      <td>0.644817</td>\n",
+       "      <td>0.620536</td>\n",
+       "      <td>0.564042</td>\n",
+       "      <td>0.488388</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COST</th>\n",
+       "      <td>0.585711</td>\n",
+       "      <td>0.426380</td>\n",
+       "      <td>0.292254</td>\n",
+       "      <td>0.358869</td>\n",
+       "      <td>0.267241</td>\n",
+       "      <td>0.412793</td>\n",
+       "      <td>0.312532</td>\n",
+       "      <td>0.362922</td>\n",
+       "      <td>0.375531</td>\n",
+       "      <td>0.333109</td>\n",
+       "      <td>0.534779</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.442151</td>\n",
+       "      <td>0.487109</td>\n",
+       "      <td>0.419567</td>\n",
+       "      <td>0.324210</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BLK</th>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>0.574767</td>\n",
+       "      <td>0.431933</td>\n",
+       "      <td>0.480509</td>\n",
+       "      <td>0.454519</td>\n",
+       "      <td>0.505123</td>\n",
+       "      <td>0.343955</td>\n",
+       "      <td>0.517619</td>\n",
+       "      <td>0.487550</td>\n",
+       "      <td>0.452998</td>\n",
+       "      <td>0.644817</td>\n",
+       "      <td>0.442151</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.775532</td>\n",
+       "      <td>0.573321</td>\n",
+       "      <td>0.624727</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TROW</th>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>0.618554</td>\n",
+       "      <td>0.409616</td>\n",
+       "      <td>0.446315</td>\n",
+       "      <td>0.411006</td>\n",
+       "      <td>0.535580</td>\n",
+       "      <td>0.336051</td>\n",
+       "      <td>0.482899</td>\n",
+       "      <td>0.449716</td>\n",
+       "      <td>0.463954</td>\n",
+       "      <td>0.620536</td>\n",
+       "      <td>0.487109</td>\n",
+       "      <td>0.775532</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.531681</td>\n",
+       "      <td>0.531371</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UNH</th>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>0.462337</td>\n",
+       "      <td>0.378167</td>\n",
+       "      <td>0.409963</td>\n",
+       "      <td>0.322509</td>\n",
+       "      <td>0.505540</td>\n",
+       "      <td>0.337498</td>\n",
+       "      <td>0.426561</td>\n",
+       "      <td>0.469692</td>\n",
+       "      <td>0.396961</td>\n",
+       "      <td>0.564042</td>\n",
+       "      <td>0.419567</td>\n",
+       "      <td>0.573321</td>\n",
+       "      <td>0.531681</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.496914</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PPG</th>\n",
+       "      <td>0.698629</td>\n",
+       "      <td>0.465708</td>\n",
+       "      <td>0.371528</td>\n",
+       "      <td>0.381751</td>\n",
+       "      <td>0.386716</td>\n",
+       "      <td>0.394458</td>\n",
+       "      <td>0.236955</td>\n",
+       "      <td>0.397626</td>\n",
+       "      <td>0.405584</td>\n",
+       "      <td>0.355863</td>\n",
+       "      <td>0.488388</td>\n",
+       "      <td>0.324210</td>\n",
+       "      <td>0.624727</td>\n",
+       "      <td>0.531371</td>\n",
+       "      <td>0.496914</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          SP500      ORCL        SQ      NVDA      BABA       PFE      NFLX  \\\n",
+       "SP500  1.000000  0.717214  0.567302  0.619705  0.550555  0.630865  0.477013   \n",
+       "ORCL   0.717214  1.000000  0.386958  0.440505  0.401409  0.489646  0.368666   \n",
+       "SQ     0.567302  0.386958  1.000000  0.497670  0.435255  0.266798  0.406967   \n",
+       "NVDA   0.619705  0.440505  0.497670  1.000000  0.511204  0.302971  0.432834   \n",
+       "BABA   0.550555  0.401409  0.435255  0.511204  1.000000  0.271929  0.424142   \n",
+       "PFE    0.630865  0.489646  0.266798  0.302971  0.271929  1.000000  0.255231   \n",
+       "NFLX   0.477013  0.368666  0.406967  0.432834  0.424142  0.255231  1.000000   \n",
+       "CRM    0.661607  0.519628  0.522806  0.518064  0.459182  0.343271  0.517518   \n",
+       "AMT    0.610404  0.449295  0.308892  0.317262  0.256468  0.426877  0.224412   \n",
+       "FB     0.632176  0.457322  0.436800  0.483370  0.471006  0.324569  0.472848   \n",
+       "MSFT   0.835836  0.646769  0.543734  0.605723  0.543635  0.485601  0.524701   \n",
+       "COST   0.585711  0.426380  0.292254  0.358869  0.267241  0.412793  0.312532   \n",
+       "BLK    0.820446  0.574767  0.431933  0.480509  0.454519  0.505123  0.343955   \n",
+       "TROW   0.800011  0.618554  0.409616  0.446315  0.411006  0.535580  0.336051   \n",
+       "UNH    0.708231  0.462337  0.378167  0.409963  0.322509  0.505540  0.337498   \n",
+       "PPG    0.698629  0.465708  0.371528  0.381751  0.386716  0.394458  0.236955   \n",
+       "\n",
+       "            CRM       AMT        FB      MSFT      COST       BLK      TROW  \\\n",
+       "SP500  0.661607  0.610404  0.632176  0.835836  0.585711  0.820446  0.800011   \n",
+       "ORCL   0.519628  0.449295  0.457322  0.646769  0.426380  0.574767  0.618554   \n",
+       "SQ     0.522806  0.308892  0.436800  0.543734  0.292254  0.431933  0.409616   \n",
+       "NVDA   0.518064  0.317262  0.483370  0.605723  0.358869  0.480509  0.446315   \n",
+       "BABA   0.459182  0.256468  0.471006  0.543635  0.267241  0.454519  0.411006   \n",
+       "PFE    0.343271  0.426877  0.324569  0.485601  0.412793  0.505123  0.535580   \n",
+       "NFLX   0.517518  0.224412  0.472848  0.524701  0.312532  0.343955  0.336051   \n",
+       "CRM    1.000000  0.385774  0.559551  0.689552  0.362922  0.517619  0.482899   \n",
+       "AMT    0.385774  1.000000  0.354050  0.499342  0.375531  0.487550  0.449716   \n",
+       "FB     0.559551  0.354050  1.000000  0.629071  0.333109  0.452998  0.463954   \n",
+       "MSFT   0.689552  0.499342  0.629071  1.000000  0.534779  0.644817  0.620536   \n",
+       "COST   0.362922  0.375531  0.333109  0.534779  1.000000  0.442151  0.487109   \n",
+       "BLK    0.517619  0.487550  0.452998  0.644817  0.442151  1.000000  0.775532   \n",
+       "TROW   0.482899  0.449716  0.463954  0.620536  0.487109  0.775532  1.000000   \n",
+       "UNH    0.426561  0.469692  0.396961  0.564042  0.419567  0.573321  0.531681   \n",
+       "PPG    0.397626  0.405584  0.355863  0.488388  0.324210  0.624727  0.531371   \n",
+       "\n",
+       "            UNH       PPG  \n",
+       "SP500  0.708231  0.698629  \n",
+       "ORCL   0.462337  0.465708  \n",
+       "SQ     0.378167  0.371528  \n",
+       "NVDA   0.409963  0.381751  \n",
+       "BABA   0.322509  0.386716  \n",
+       "PFE    0.505540  0.394458  \n",
+       "NFLX   0.337498  0.236955  \n",
+       "CRM    0.426561  0.397626  \n",
+       "AMT    0.469692  0.405584  \n",
+       "FB     0.396961  0.355863  \n",
+       "MSFT   0.564042  0.488388  \n",
+       "COST   0.419567  0.324210  \n",
+       "BLK    0.573321  0.624727  \n",
+       "TROW   0.531681  0.531371  \n",
+       "UNH    1.000000  0.496914  \n",
+       "PPG    0.496914  1.000000  "
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "correlation_of_final_positions= Core_returns.corr()\n",
+    "correlation_of_final_positions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x1080 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Visualization of the Correlations\n",
+    "\n",
+    "plt.subplots(figsize=(20,15))\n",
+    "sns.heatmap(correlation_of_final_positions);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2015-11-20    0.006532\n",
+       "2015-11-23   -0.003925\n",
+       "2015-11-24   -0.000940\n",
+       "2015-11-25    0.002003\n",
+       "2015-11-27    0.001257\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Use the `dot` function to multiply the weights by each stock's daily return to get the portfolio daily return\n",
+    "weights = [0.40,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,]\n",
+    "core_portfolio_returns = Core_returns.dot(weights)\n",
+    "core_portfolio_returns.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    " # plot the daily portfolio returns\n",
+    "core_portfolio_returns.plot(figsize=(20,10), title=\"Daily Portfolio return\"); "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2015-11-20    0.006532\n",
+       "2015-11-23    0.002581\n",
+       "2015-11-24    0.001639\n",
+       "2015-11-25    0.003645\n",
+       "2015-11-27    0.004906\n",
+       "                ...   \n",
+       "2020-09-25    1.474158\n",
+       "2020-09-28    1.508525\n",
+       "2020-09-29    1.507425\n",
+       "2020-09-30    1.536714\n",
+       "2020-10-01    1.555398\n",
+       "Length: 1224, dtype: float64"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Calculating Cumulative Product\n",
+    "core_cumulative_returns = (1 + core_portfolio_returns).cumprod() - 1\n",
+    "core_cumulative_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "core_cumulative_returns.plot(figsize=(20,10), title=\"Cumulative Portfolio return\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.015977</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.016111</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.004813</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.008254</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.005293</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500\n",
+       "2015-11-20  0.003810\n",
+       "2015-11-23 -0.001235\n",
+       "2015-11-24  0.001222\n",
+       "2015-11-25 -0.000129\n",
+       "2015-11-27  0.000594\n",
+       "...              ...\n",
+       "2020-09-25  0.015977\n",
+       "2020-09-28  0.016111\n",
+       "2020-09-29 -0.004813\n",
+       "2020-09-30  0.008254\n",
+       "2020-10-01  0.005293\n",
+       "\n",
+       "[1224 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#SP500 daily returns\n",
+    "\n",
+    "SP500_daily_returns= Core_returns.drop(columns=['AMT', 'ORCL', 'PPG', 'COST', 'MSFT', 'UNH', 'TROW', 'BLK', 'NVDA', 'FB', 'BABA', 'CRM', 'PFE', 'NFLX', 'SQ'])\n",
+    "\n",
+    "SP500_daily_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>0.002571</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.003796</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>0.003666</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.004262</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.584853</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.610386</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>0.602636</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.615864</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.624416</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500\n",
+       "2015-11-20  0.003810\n",
+       "2015-11-23  0.002571\n",
+       "2015-11-24  0.003796\n",
+       "2015-11-25  0.003666\n",
+       "2015-11-27  0.004262\n",
+       "...              ...\n",
+       "2020-09-25  0.584853\n",
+       "2020-09-28  0.610386\n",
+       "2020-09-29  0.602636\n",
+       "2020-09-30  0.615864\n",
+       "2020-10-01  0.624416\n",
+       "\n",
+       "[1224 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Calculating Cumulative Product for SP500\n",
+    "Sp500_cumulative_returns = (1 + SP500_daily_returns).cumprod() - 1\n",
+    "Sp500_cumulative_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "SP500_daily_returns.plot(figsize=(20,10), title=\"Daily Returns of SP500\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "Sp500_cumulative_returns.plot(figsize=(20,10), title=\"Cumulative Returns of SP500\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(core_portfolio_returns)\n",
+    "plt.plot(SP500_daily_returns)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(core_cumulative_returns)\n",
+    "plt.plot(Sp500_cumulative_returns)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.013021605893950699\n",
+      "0.0008521218194888947\n",
+      "SP500    0.01216\n",
+      "dtype: float64\n",
+      "SP500    0.000471\n",
+      "dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "#calculate Std Dev of Portfolio\n",
+    "\n",
+    "print(core_portfolio_returns.std())\n",
+    "print(core_portfolio_returns.mean())\n",
+    "\n",
+    "print(SP500_daily_returns.std())\n",
+    "print(SP500_daily_returns.mean())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.0388130801041227"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sharpe_ratios = (core_portfolio_returns.mean() * 252) / (core_portfolio_returns.std() * np.sqrt(252))\n",
+    "sharpe_ratios"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>PPG</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>106.26</td>\n",
+       "      <td>53.94</td>\n",
+       "      <td>162.83</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>103.37</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>107.32</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>163.10</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>104.62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>106.95</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>163.45</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>105.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>105.74</td>\n",
+       "      <td>54.25</td>\n",
+       "      <td>162.19</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>105.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>105.41</td>\n",
+       "      <td>53.69</td>\n",
+       "      <td>162.39</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>106.46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>254.82</td>\n",
+       "      <td>207.82</td>\n",
+       "      <td>342.58</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>120.25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>256.82</td>\n",
+       "      <td>209.44</td>\n",
+       "      <td>349.62</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>121.74</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>261.79</td>\n",
+       "      <td>207.26</td>\n",
+       "      <td>352.14</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>120.33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>261.90</td>\n",
+       "      <td>210.33</td>\n",
+       "      <td>355.00</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>122.08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>266.63</td>\n",
+       "      <td>212.46</td>\n",
+       "      <td>358.46</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>121.78</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  SP500       ORCL          SQ        NVDA        BABA  \\\n",
+       "2015-11-19  2081.239990  36.108597   13.070000   30.458263   77.870003   \n",
+       "2015-11-20  2089.169922  36.404728   12.850000   30.722525   79.949997   \n",
+       "2015-11-23  2086.590088  36.219639   12.120000   30.262524   81.309998   \n",
+       "2015-11-24  2089.139893  36.515770   12.020000   30.507206   80.860001   \n",
+       "2015-11-25  2088.870117  36.330700   11.900000   30.468054   81.709999   \n",
+       "...                 ...        ...         ...         ...         ...   \n",
+       "2020-09-25  3298.459961  59.799999  157.720001  514.950012  271.089996   \n",
+       "2020-09-28  3351.600098  59.580002  160.759995  521.400024  276.010010   \n",
+       "2020-09-29  3335.469971  59.470001  164.809998  529.030029  276.929993   \n",
+       "2020-09-30  3363.000000  59.700001  162.550003  541.219971  293.980011   \n",
+       "2020-10-01  3380.800049  59.680000  168.490005  544.580017  290.049988   \n",
+       "\n",
+       "                  PFE        NFLX         CRM     AMT      FB    MSFT    COST  \\\n",
+       "2015-11-19  27.049994  120.220001   80.639999   99.63  106.26   53.94  162.83   \n",
+       "2015-11-20  26.957846  123.839996   80.989998  100.49  107.32   54.19  163.10   \n",
+       "2015-11-23  26.245783  125.029999   80.779999   99.94  106.95   54.19  163.45   \n",
+       "2015-11-24  26.781923  123.309998   80.389999   99.26  105.74   54.25  162.19   \n",
+       "2015-11-25  27.535873  124.160004   80.410004   99.09  105.41   53.69  162.39   \n",
+       "...               ...         ...         ...     ...     ...     ...     ...   \n",
+       "2020-09-25  36.049999  482.880005  242.740005  239.81  254.82  207.82  342.58   \n",
+       "2020-09-28  36.389999  490.649994  246.669998  240.00  256.82  209.44  349.62   \n",
+       "2020-09-29  36.169998  493.480011  247.449997  240.12  261.79  207.26  352.14   \n",
+       "2020-09-30  36.700001  500.029999  251.320007  241.73  261.90  210.33  355.00   \n",
+       "2020-10-01  36.369999  527.510010  253.449997  242.15  266.63  212.46  358.46   \n",
+       "\n",
+       "               BLK    TROW     UNH     PPG  \n",
+       "2015-11-19  359.09   76.38  110.63  103.37  \n",
+       "2015-11-20  362.46   76.37  112.97  104.62  \n",
+       "2015-11-23  363.25   76.15  112.16  105.47  \n",
+       "2015-11-24  356.81   75.62  113.19  105.49  \n",
+       "2015-11-25  360.62   76.01  114.41  106.46  \n",
+       "...            ...     ...     ...     ...  \n",
+       "2020-09-25  547.81  125.22  302.50  120.25  \n",
+       "2020-09-28  558.65  128.55  303.23  121.74  \n",
+       "2020-09-29  554.80  127.49  304.15  120.33  \n",
+       "2020-09-30  563.55  128.22  311.77  122.08  \n",
+       "2020-10-01  567.91  128.04  313.07  121.78  \n",
+       "\n",
+       "[1225 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "portfolio_5yrs = combined_portfolio_df.drop(columns=['MCD', 'VZ', 'JNJ', 'CLX', 'WMT', 'NEE', 'GD', 'MMM', 'ACN', 'UPS', 'HD', 'SBUX', 'PSX'])\n",
+    "portfolio_5yrs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "portfolio_5yrs.plot(title='Daily Returns of each individual stock', figsize=(20,10));"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 2160x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "portfolio_5yrs_daily = portfolio_5yrs.pct_change()\n",
+    "portfolio_5yrs_1 = (1 + portfolio_5yrs_daily).cumprod() - 1\n",
+    "portfolio_5yrs_1.plot(figsize=(30,10), title='Cumulative Returns of Each Stock in our Portfolio');"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Predict the Direction of the Portfolio compared to the S&P500 Using Monte Carlo Simulation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Monte Carlo Simulation of the Portfolio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load .env enviroment variables\n",
+    "from dotenv import load_dotenv\n",
+    "load_dotenv()\n",
+    "\n",
+    "# Set Alpaca API key and secret\n",
+    "alpaca_api_key = os.getenv(\"ALPACA_API_KEY\")\n",
+    "alpaca_secret_key = os.getenv(\"ALPACA_SECRET_KEY\")\n",
+    "\n",
+    "api = tradeapi.REST(\n",
+    "    alpaca_api_key,\n",
+    "    alpaca_secret_key,\n",
+    "    api_version = \"v2\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set timeframe to '1D'\n",
+    "timeframe = \"1D\"\n",
+    "\n",
+    "# Set start and end datetimes between now and 3 years ago.\n",
+    "start_date = pd.Timestamp(\"2015-11-19\", tz=\"America/New_York\").isoformat()\n",
+    "end_date = pd.Timestamp(\"2020-10-01\", tz=\"America/New_York\").isoformat()\n",
+    "\n",
+    "# Set the ticker information\n",
+    "tickers = ['SPY','AMT','ORCL','PPG','COST','MSFT','UNH','TROW','BLK','NVDA','FB','BABA','CRM','PFE','NFLX','SQ']\n",
+    "\n",
+    "# Get 5 years of past data of portfolios\n",
+    "df_ticker = api.get_barset(\n",
+    "    tickers,\n",
+    "    timeframe,\n",
+    "    start=start_date,\n",
+    "    end=end_date\n",
+    ").df\n",
+    "\n",
+    "df_ticker.index = df_ticker.index.date\n",
+    "df_ticker.head()\n",
+    "df_ticker.to_csv('df_ticker.csv') "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Configuring a Monte Carlo simulation to forecast five years cumulative returns\n",
+    "MC_fiveyear = MCSimulation(\n",
+    "    portfolio_data = df_ticker,\n",
+    "    weights = [0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.40,0.04,0.04,0.04],\n",
+    "    num_simulation = 500,\n",
+    "    num_trading_days = 252*5\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"6\" halign=\"left\">AMT</th>\n",
+       "      <th colspan=\"4\" halign=\"left\">BABA</th>\n",
+       "      <th>...</th>\n",
+       "      <th colspan=\"4\" halign=\"left\">TROW</th>\n",
+       "      <th colspan=\"6\" halign=\"left\">UNH</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>open</th>\n",
+       "      <th>high</th>\n",
+       "      <th>low</th>\n",
+       "      <th>close</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>daily_return</th>\n",
+       "      <th>open</th>\n",
+       "      <th>high</th>\n",
+       "      <th>low</th>\n",
+       "      <th>close</th>\n",
+       "      <th>...</th>\n",
+       "      <th>low</th>\n",
+       "      <th>close</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>daily_return</th>\n",
+       "      <th>open</th>\n",
+       "      <th>high</th>\n",
+       "      <th>low</th>\n",
+       "      <th>close</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>daily_return</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>99.87</td>\n",
+       "      <td>100.26</td>\n",
+       "      <td>99.22</td>\n",
+       "      <td>99.62</td>\n",
+       "      <td>1223026.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>78.06</td>\n",
+       "      <td>79.150</td>\n",
+       "      <td>77.403</td>\n",
+       "      <td>77.910</td>\n",
+       "      <td>...</td>\n",
+       "      <td>76.0100</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>521700</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>109.74</td>\n",
+       "      <td>113.71</td>\n",
+       "      <td>109.61</td>\n",
+       "      <td>110.61</td>\n",
+       "      <td>13240076.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>100.20</td>\n",
+       "      <td>100.87</td>\n",
+       "      <td>99.53</td>\n",
+       "      <td>100.47</td>\n",
+       "      <td>1023837.0</td>\n",
+       "      <td>0.008532</td>\n",
+       "      <td>78.44</td>\n",
+       "      <td>80.785</td>\n",
+       "      <td>78.400</td>\n",
+       "      <td>79.965</td>\n",
+       "      <td>...</td>\n",
+       "      <td>75.9100</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>671459</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>111.01</td>\n",
+       "      <td>114.44</td>\n",
+       "      <td>110.60</td>\n",
+       "      <td>113.00</td>\n",
+       "      <td>5609101.0</td>\n",
+       "      <td>0.021607</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>100.49</td>\n",
+       "      <td>100.67</td>\n",
+       "      <td>99.45</td>\n",
+       "      <td>99.93</td>\n",
+       "      <td>755145.0</td>\n",
+       "      <td>-0.005375</td>\n",
+       "      <td>80.45</td>\n",
+       "      <td>82.190</td>\n",
+       "      <td>79.970</td>\n",
+       "      <td>81.310</td>\n",
+       "      <td>...</td>\n",
+       "      <td>76.0200</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>425575</td>\n",
+       "      <td>-0.003011</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>114.49</td>\n",
+       "      <td>112.10</td>\n",
+       "      <td>112.15</td>\n",
+       "      <td>3006888.0</td>\n",
+       "      <td>-0.007522</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>99.28</td>\n",
+       "      <td>99.45</td>\n",
+       "      <td>98.32</td>\n",
+       "      <td>99.27</td>\n",
+       "      <td>1054663.0</td>\n",
+       "      <td>-0.006605</td>\n",
+       "      <td>80.85</td>\n",
+       "      <td>81.110</td>\n",
+       "      <td>79.270</td>\n",
+       "      <td>80.790</td>\n",
+       "      <td>...</td>\n",
+       "      <td>74.9701</td>\n",
+       "      <td>75.63</td>\n",
+       "      <td>593463</td>\n",
+       "      <td>-0.006829</td>\n",
+       "      <td>111.70</td>\n",
+       "      <td>113.45</td>\n",
+       "      <td>111.06</td>\n",
+       "      <td>113.23</td>\n",
+       "      <td>2363542.0</td>\n",
+       "      <td>0.009630</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>99.15</td>\n",
+       "      <td>99.60</td>\n",
+       "      <td>98.90</td>\n",
+       "      <td>99.07</td>\n",
+       "      <td>622603.0</td>\n",
+       "      <td>-0.002015</td>\n",
+       "      <td>80.91</td>\n",
+       "      <td>82.675</td>\n",
+       "      <td>80.820</td>\n",
+       "      <td>81.630</td>\n",
+       "      <td>...</td>\n",
+       "      <td>75.3400</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>631376</td>\n",
+       "      <td>0.005024</td>\n",
+       "      <td>113.47</td>\n",
+       "      <td>115.05</td>\n",
+       "      <td>113.00</td>\n",
+       "      <td>114.42</td>\n",
+       "      <td>2408146.0</td>\n",
+       "      <td>0.010510</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 96 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               AMT                                                  BABA  \\\n",
+       "              open    high    low   close     volume daily_return   open   \n",
+       "2015-11-19   99.87  100.26  99.22   99.62  1223026.0          NaN  78.06   \n",
+       "2015-11-20  100.20  100.87  99.53  100.47  1023837.0     0.008532  78.44   \n",
+       "2015-11-23  100.49  100.67  99.45   99.93   755145.0    -0.005375  80.45   \n",
+       "2015-11-24   99.28   99.45  98.32   99.27  1054663.0    -0.006605  80.85   \n",
+       "2015-11-25   99.15   99.60  98.90   99.07   622603.0    -0.002015  80.91   \n",
+       "\n",
+       "                                    ...     TROW                              \\\n",
+       "              high     low   close  ...      low  close  volume daily_return   \n",
+       "2015-11-19  79.150  77.403  77.910  ...  76.0100  76.38  521700          NaN   \n",
+       "2015-11-20  80.785  78.400  79.965  ...  75.9100  76.38  671459     0.000000   \n",
+       "2015-11-23  82.190  79.970  81.310  ...  76.0200  76.15  425575    -0.003011   \n",
+       "2015-11-24  81.110  79.270  80.790  ...  74.9701  75.63  593463    -0.006829   \n",
+       "2015-11-25  82.675  80.820  81.630  ...  75.3400  76.01  631376     0.005024   \n",
+       "\n",
+       "               UNH                                                   \n",
+       "              open    high     low   close      volume daily_return  \n",
+       "2015-11-19  109.74  113.71  109.61  110.61  13240076.0          NaN  \n",
+       "2015-11-20  111.01  114.44  110.60  113.00   5609101.0     0.021607  \n",
+       "2015-11-23  112.97  114.49  112.10  112.15   3006888.0    -0.007522  \n",
+       "2015-11-24  111.70  113.45  111.06  113.23   2363542.0     0.009630  \n",
+       "2015-11-25  113.47  115.05  113.00  114.42   2408146.0     0.010510  \n",
+       "\n",
+       "[5 rows x 96 columns]"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Printing the simulation input data\n",
+    "MC_fiveyear.portfolio_data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running Monte Carlo simulation number 0.\n",
+      "Running Monte Carlo simulation number 10.\n",
+      "Running Monte Carlo simulation number 20.\n",
+      "Running Monte Carlo simulation number 30.\n",
+      "Running Monte Carlo simulation number 40.\n",
+      "Running Monte Carlo simulation number 50.\n",
+      "Running Monte Carlo simulation number 60.\n",
+      "Running Monte Carlo simulation number 70.\n",
+      "Running Monte Carlo simulation number 80.\n",
+      "Running Monte Carlo simulation number 90.\n",
+      "Running Monte Carlo simulation number 100.\n",
+      "Running Monte Carlo simulation number 110.\n",
+      "Running Monte Carlo simulation number 120.\n",
+      "Running Monte Carlo simulation number 130.\n",
+      "Running Monte Carlo simulation number 140.\n",
+      "Running Monte Carlo simulation number 150.\n",
+      "Running Monte Carlo simulation number 160.\n",
+      "Running Monte Carlo simulation number 170.\n",
+      "Running Monte Carlo simulation number 180.\n",
+      "Running Monte Carlo simulation number 190.\n",
+      "Running Monte Carlo simulation number 200.\n",
+      "Running Monte Carlo simulation number 210.\n",
+      "Running Monte Carlo simulation number 220.\n",
+      "Running Monte Carlo simulation number 230.\n",
+      "Running Monte Carlo simulation number 240.\n",
+      "Running Monte Carlo simulation number 250.\n",
+      "Running Monte Carlo simulation number 260.\n",
+      "Running Monte Carlo simulation number 270.\n",
+      "Running Monte Carlo simulation number 280.\n",
+      "Running Monte Carlo simulation number 290.\n",
+      "Running Monte Carlo simulation number 300.\n",
+      "Running Monte Carlo simulation number 310.\n",
+      "Running Monte Carlo simulation number 320.\n",
+      "Running Monte Carlo simulation number 330.\n",
+      "Running Monte Carlo simulation number 340.\n",
+      "Running Monte Carlo simulation number 350.\n",
+      "Running Monte Carlo simulation number 360.\n",
+      "Running Monte Carlo simulation number 370.\n",
+      "Running Monte Carlo simulation number 380.\n",
+      "Running Monte Carlo simulation number 390.\n",
+      "Running Monte Carlo simulation number 400.\n",
+      "Running Monte Carlo simulation number 410.\n",
+      "Running Monte Carlo simulation number 420.\n",
+      "Running Monte Carlo simulation number 430.\n",
+      "Running Monte Carlo simulation number 440.\n",
+      "Running Monte Carlo simulation number 450.\n",
+      "Running Monte Carlo simulation number 460.\n",
+      "Running Monte Carlo simulation number 470.\n",
+      "Running Monte Carlo simulation number 480.\n",
+      "Running Monte Carlo simulation number 490.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <th>4</th>\n",
+       "      <th>5</th>\n",
+       "      <th>6</th>\n",
+       "      <th>7</th>\n",
+       "      <th>8</th>\n",
+       "      <th>9</th>\n",
+       "      <th>...</th>\n",
+       "      <th>490</th>\n",
+       "      <th>491</th>\n",
+       "      <th>492</th>\n",
+       "      <th>493</th>\n",
+       "      <th>494</th>\n",
+       "      <th>495</th>\n",
+       "      <th>496</th>\n",
+       "      <th>497</th>\n",
+       "      <th>498</th>\n",
+       "      <th>499</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.988906</td>\n",
+       "      <td>0.992738</td>\n",
+       "      <td>1.004556</td>\n",
+       "      <td>0.999826</td>\n",
+       "      <td>1.019771</td>\n",
+       "      <td>1.007745</td>\n",
+       "      <td>1.007251</td>\n",
+       "      <td>0.998771</td>\n",
+       "      <td>1.004968</td>\n",
+       "      <td>1.000143</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.999099</td>\n",
+       "      <td>1.002478</td>\n",
+       "      <td>0.995256</td>\n",
+       "      <td>1.003035</td>\n",
+       "      <td>0.999229</td>\n",
+       "      <td>1.002819</td>\n",
+       "      <td>0.997936</td>\n",
+       "      <td>1.000725</td>\n",
+       "      <td>1.004905</td>\n",
+       "      <td>1.009358</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.000231</td>\n",
+       "      <td>0.983574</td>\n",
+       "      <td>1.007855</td>\n",
+       "      <td>0.992816</td>\n",
+       "      <td>1.021925</td>\n",
+       "      <td>1.011343</td>\n",
+       "      <td>1.012067</td>\n",
+       "      <td>0.990642</td>\n",
+       "      <td>1.003769</td>\n",
+       "      <td>1.006738</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.987214</td>\n",
+       "      <td>0.998806</td>\n",
+       "      <td>0.986071</td>\n",
+       "      <td>1.003211</td>\n",
+       "      <td>1.006305</td>\n",
+       "      <td>1.008104</td>\n",
+       "      <td>1.001064</td>\n",
+       "      <td>1.010572</td>\n",
+       "      <td>1.001237</td>\n",
+       "      <td>1.002946</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.010592</td>\n",
+       "      <td>0.977863</td>\n",
+       "      <td>1.009138</td>\n",
+       "      <td>0.990491</td>\n",
+       "      <td>1.025458</td>\n",
+       "      <td>1.010544</td>\n",
+       "      <td>1.008247</td>\n",
+       "      <td>0.983712</td>\n",
+       "      <td>1.013359</td>\n",
+       "      <td>1.004604</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.987479</td>\n",
+       "      <td>1.002671</td>\n",
+       "      <td>0.980681</td>\n",
+       "      <td>1.003311</td>\n",
+       "      <td>1.003199</td>\n",
+       "      <td>1.011846</td>\n",
+       "      <td>0.996115</td>\n",
+       "      <td>1.008727</td>\n",
+       "      <td>1.000527</td>\n",
+       "      <td>1.006174</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.005319</td>\n",
+       "      <td>0.980648</td>\n",
+       "      <td>1.010839</td>\n",
+       "      <td>0.977525</td>\n",
+       "      <td>1.029364</td>\n",
+       "      <td>1.006141</td>\n",
+       "      <td>1.010913</td>\n",
+       "      <td>0.974858</td>\n",
+       "      <td>1.008486</td>\n",
+       "      <td>1.018001</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.988055</td>\n",
+       "      <td>1.001119</td>\n",
+       "      <td>0.972495</td>\n",
+       "      <td>1.016748</td>\n",
+       "      <td>1.006018</td>\n",
+       "      <td>1.017986</td>\n",
+       "      <td>0.998785</td>\n",
+       "      <td>0.997503</td>\n",
+       "      <td>1.009362</td>\n",
+       "      <td>1.006961</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1256</th>\n",
+       "      <td>2.681510</td>\n",
+       "      <td>2.714074</td>\n",
+       "      <td>3.129739</td>\n",
+       "      <td>2.122219</td>\n",
+       "      <td>2.211689</td>\n",
+       "      <td>3.108551</td>\n",
+       "      <td>2.366765</td>\n",
+       "      <td>2.301400</td>\n",
+       "      <td>3.123605</td>\n",
+       "      <td>2.943667</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.845321</td>\n",
+       "      <td>2.521428</td>\n",
+       "      <td>2.972285</td>\n",
+       "      <td>1.826912</td>\n",
+       "      <td>2.237883</td>\n",
+       "      <td>2.767765</td>\n",
+       "      <td>3.514696</td>\n",
+       "      <td>2.809148</td>\n",
+       "      <td>2.941521</td>\n",
+       "      <td>2.422336</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1257</th>\n",
+       "      <td>2.665012</td>\n",
+       "      <td>2.701744</td>\n",
+       "      <td>3.128599</td>\n",
+       "      <td>2.123213</td>\n",
+       "      <td>2.219305</td>\n",
+       "      <td>3.114594</td>\n",
+       "      <td>2.361819</td>\n",
+       "      <td>2.298613</td>\n",
+       "      <td>3.133656</td>\n",
+       "      <td>2.939636</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.860250</td>\n",
+       "      <td>2.529545</td>\n",
+       "      <td>2.950719</td>\n",
+       "      <td>1.819020</td>\n",
+       "      <td>2.245103</td>\n",
+       "      <td>2.786420</td>\n",
+       "      <td>3.526299</td>\n",
+       "      <td>2.812569</td>\n",
+       "      <td>2.947462</td>\n",
+       "      <td>2.421209</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1258</th>\n",
+       "      <td>2.651200</td>\n",
+       "      <td>2.710310</td>\n",
+       "      <td>3.150072</td>\n",
+       "      <td>2.121996</td>\n",
+       "      <td>2.215572</td>\n",
+       "      <td>3.138387</td>\n",
+       "      <td>2.374203</td>\n",
+       "      <td>2.287730</td>\n",
+       "      <td>3.157144</td>\n",
+       "      <td>2.943312</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.845241</td>\n",
+       "      <td>2.543793</td>\n",
+       "      <td>2.960243</td>\n",
+       "      <td>1.791609</td>\n",
+       "      <td>2.261302</td>\n",
+       "      <td>2.782278</td>\n",
+       "      <td>3.539779</td>\n",
+       "      <td>2.814054</td>\n",
+       "      <td>2.964892</td>\n",
+       "      <td>2.422563</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1259</th>\n",
+       "      <td>2.636045</td>\n",
+       "      <td>2.707250</td>\n",
+       "      <td>3.200067</td>\n",
+       "      <td>2.132133</td>\n",
+       "      <td>2.214408</td>\n",
+       "      <td>3.120123</td>\n",
+       "      <td>2.385360</td>\n",
+       "      <td>2.304294</td>\n",
+       "      <td>3.170685</td>\n",
+       "      <td>2.928730</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.846437</td>\n",
+       "      <td>2.534774</td>\n",
+       "      <td>2.936721</td>\n",
+       "      <td>1.801300</td>\n",
+       "      <td>2.280655</td>\n",
+       "      <td>2.779005</td>\n",
+       "      <td>3.584346</td>\n",
+       "      <td>2.814123</td>\n",
+       "      <td>2.979713</td>\n",
+       "      <td>2.419751</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1260</th>\n",
+       "      <td>2.639582</td>\n",
+       "      <td>2.721021</td>\n",
+       "      <td>3.183625</td>\n",
+       "      <td>2.138284</td>\n",
+       "      <td>2.234573</td>\n",
+       "      <td>3.130881</td>\n",
+       "      <td>2.357290</td>\n",
+       "      <td>2.289600</td>\n",
+       "      <td>3.186898</td>\n",
+       "      <td>2.952471</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.839032</td>\n",
+       "      <td>2.536185</td>\n",
+       "      <td>2.942237</td>\n",
+       "      <td>1.813642</td>\n",
+       "      <td>2.286542</td>\n",
+       "      <td>2.786899</td>\n",
+       "      <td>3.544287</td>\n",
+       "      <td>2.820473</td>\n",
+       "      <td>3.005625</td>\n",
+       "      <td>2.424375</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1261 rows × 500 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           0         1         2         3         4         5         6    \\\n",
+       "0     1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000   \n",
+       "1     0.988906  0.992738  1.004556  0.999826  1.019771  1.007745  1.007251   \n",
+       "2     1.000231  0.983574  1.007855  0.992816  1.021925  1.011343  1.012067   \n",
+       "3     1.010592  0.977863  1.009138  0.990491  1.025458  1.010544  1.008247   \n",
+       "4     1.005319  0.980648  1.010839  0.977525  1.029364  1.006141  1.010913   \n",
+       "...        ...       ...       ...       ...       ...       ...       ...   \n",
+       "1256  2.681510  2.714074  3.129739  2.122219  2.211689  3.108551  2.366765   \n",
+       "1257  2.665012  2.701744  3.128599  2.123213  2.219305  3.114594  2.361819   \n",
+       "1258  2.651200  2.710310  3.150072  2.121996  2.215572  3.138387  2.374203   \n",
+       "1259  2.636045  2.707250  3.200067  2.132133  2.214408  3.120123  2.385360   \n",
+       "1260  2.639582  2.721021  3.183625  2.138284  2.234573  3.130881  2.357290   \n",
+       "\n",
+       "           7         8         9    ...       490       491       492  \\\n",
+       "0     1.000000  1.000000  1.000000  ...  1.000000  1.000000  1.000000   \n",
+       "1     0.998771  1.004968  1.000143  ...  0.999099  1.002478  0.995256   \n",
+       "2     0.990642  1.003769  1.006738  ...  0.987214  0.998806  0.986071   \n",
+       "3     0.983712  1.013359  1.004604  ...  0.987479  1.002671  0.980681   \n",
+       "4     0.974858  1.008486  1.018001  ...  0.988055  1.001119  0.972495   \n",
+       "...        ...       ...       ...  ...       ...       ...       ...   \n",
+       "1256  2.301400  3.123605  2.943667  ...  2.845321  2.521428  2.972285   \n",
+       "1257  2.298613  3.133656  2.939636  ...  2.860250  2.529545  2.950719   \n",
+       "1258  2.287730  3.157144  2.943312  ...  2.845241  2.543793  2.960243   \n",
+       "1259  2.304294  3.170685  2.928730  ...  2.846437  2.534774  2.936721   \n",
+       "1260  2.289600  3.186898  2.952471  ...  2.839032  2.536185  2.942237   \n",
+       "\n",
+       "           493       494       495       496       497       498       499  \n",
+       "0     1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  \n",
+       "1     1.003035  0.999229  1.002819  0.997936  1.000725  1.004905  1.009358  \n",
+       "2     1.003211  1.006305  1.008104  1.001064  1.010572  1.001237  1.002946  \n",
+       "3     1.003311  1.003199  1.011846  0.996115  1.008727  1.000527  1.006174  \n",
+       "4     1.016748  1.006018  1.017986  0.998785  0.997503  1.009362  1.006961  \n",
+       "...        ...       ...       ...       ...       ...       ...       ...  \n",
+       "1256  1.826912  2.237883  2.767765  3.514696  2.809148  2.941521  2.422336  \n",
+       "1257  1.819020  2.245103  2.786420  3.526299  2.812569  2.947462  2.421209  \n",
+       "1258  1.791609  2.261302  2.782278  3.539779  2.814054  2.964892  2.422563  \n",
+       "1259  1.801300  2.280655  2.779005  3.584346  2.814123  2.979713  2.419751  \n",
+       "1260  1.813642  2.286542  2.786899  3.544287  2.820473  3.005625  2.424375  \n",
+       "\n",
+       "[1261 rows x 500 columns]"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Running a Monte Carlo simulation to forecast five years cumulative returns\n",
+    "MC_fiveyear.calc_cumulative_return()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot simulation outcomes\n",
+    "line_plot = MC_fiveyear.plot_simulation()\n",
+    "\n",
+    "# Save the plot for future usage\n",
+    "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_simulation2.png\", bbox_inches=\"tight\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot probability distribution and confidence intervals\n",
+    "dist_plot = MC_fiveyear.plot_distribution()\n",
+    "\n",
+    "# Save the plot for future usage\n",
+    "dist_plot.get_figure().savefig('MonteCarlo_5yrs_distribution2.png',bbox_inches='tight')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "count           500.000000\n",
+      "mean              2.895847\n",
+      "std               0.589691\n",
+      "min               1.559500\n",
+      "25%               2.454324\n",
+      "50%               2.821701\n",
+      "75%               3.213398\n",
+      "max               5.025064\n",
+      "95% CI Lower      1.962128\n",
+      "95% CI Upper      4.251050\n",
+      "Name: 1260, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Fetch summary statistics from the Monte Carlo simulation results\n",
+    "summary = MC_fiveyear.summarize_cumulative_return()\n",
+    "\n",
+    "# Print summary statistics\n",
+    "print(summary)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "There is a 95% chance that an initial investment of $10,000 in the portfolio over the next 5 years will end within in the range of $19621.28 and $42510.5\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Use the lower and upper `95%` confidence intervals to calculate the range of the possible outcomes of our $10,000 investments in Coca-Cola and Microsoft stocks\n",
+    "ci_lower = round(summary[8]*10000,2)\n",
+    "ci_upper = round(summary[9]*10000,2)\n",
+    "\n",
+    "# Print results\n",
+    "print(f\"There is a 95% chance that an initial investment of $10,000 in the portfolio\"\n",
+    "      f\" over the next 5 years will end within in the range of\"\n",
+    "      f\" ${ci_lower} and ${ci_upper}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## MC Simulation for SP500"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set timeframe to '1D'\n",
+    "timeframe = \"1D\"\n",
+    "\n",
+    "# Set start and end datetimes between now and 3 years ago.\n",
+    "start_date = pd.Timestamp(\"2015-11-19\", tz=\"America/New_York\").isoformat()\n",
+    "end_date = pd.Timestamp(\"2020-10-01\", tz=\"America/New_York\").isoformat()\n",
+    "\n",
+    "# Set the ticker information\n",
+    "tickers_1 = ['SPY']\n",
+    "\n",
+    "# Get 5 years of past data of portfolios\n",
+    "df_ticker_1 = api.get_barset(\n",
+    "    tickers_1,\n",
+    "    timeframe,\n",
+    "    start=start_date,\n",
+    "    end=end_date\n",
+    ").df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Configuring a Monte Carlo simulation to forecast five years cumulative returns\n",
+    "MC_fiveyear_SP500 = MCSimulation(\n",
+    "    portfolio_data = df_ticker_1,\n",
+    "    weights = [1],\n",
+    "    num_simulation = 500,\n",
+    "    num_trading_days = 252*5\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running Monte Carlo simulation number 0.\n",
+      "Running Monte Carlo simulation number 10.\n",
+      "Running Monte Carlo simulation number 20.\n",
+      "Running Monte Carlo simulation number 30.\n",
+      "Running Monte Carlo simulation number 40.\n",
+      "Running Monte Carlo simulation number 50.\n",
+      "Running Monte Carlo simulation number 60.\n",
+      "Running Monte Carlo simulation number 70.\n",
+      "Running Monte Carlo simulation number 80.\n",
+      "Running Monte Carlo simulation number 90.\n",
+      "Running Monte Carlo simulation number 100.\n",
+      "Running Monte Carlo simulation number 110.\n",
+      "Running Monte Carlo simulation number 120.\n",
+      "Running Monte Carlo simulation number 130.\n",
+      "Running Monte Carlo simulation number 140.\n",
+      "Running Monte Carlo simulation number 150.\n",
+      "Running Monte Carlo simulation number 160.\n",
+      "Running Monte Carlo simulation number 170.\n",
+      "Running Monte Carlo simulation number 180.\n",
+      "Running Monte Carlo simulation number 190.\n",
+      "Running Monte Carlo simulation number 200.\n",
+      "Running Monte Carlo simulation number 210.\n",
+      "Running Monte Carlo simulation number 220.\n",
+      "Running Monte Carlo simulation number 230.\n",
+      "Running Monte Carlo simulation number 240.\n",
+      "Running Monte Carlo simulation number 250.\n",
+      "Running Monte Carlo simulation number 260.\n",
+      "Running Monte Carlo simulation number 270.\n",
+      "Running Monte Carlo simulation number 280.\n",
+      "Running Monte Carlo simulation number 290.\n",
+      "Running Monte Carlo simulation number 300.\n",
+      "Running Monte Carlo simulation number 310.\n",
+      "Running Monte Carlo simulation number 320.\n",
+      "Running Monte Carlo simulation number 330.\n",
+      "Running Monte Carlo simulation number 340.\n",
+      "Running Monte Carlo simulation number 350.\n",
+      "Running Monte Carlo simulation number 360.\n",
+      "Running Monte Carlo simulation number 370.\n",
+      "Running Monte Carlo simulation number 380.\n",
+      "Running Monte Carlo simulation number 390.\n",
+      "Running Monte Carlo simulation number 400.\n",
+      "Running Monte Carlo simulation number 410.\n",
+      "Running Monte Carlo simulation number 420.\n",
+      "Running Monte Carlo simulation number 430.\n",
+      "Running Monte Carlo simulation number 440.\n",
+      "Running Monte Carlo simulation number 450.\n",
+      "Running Monte Carlo simulation number 460.\n",
+      "Running Monte Carlo simulation number 470.\n",
+      "Running Monte Carlo simulation number 480.\n",
+      "Running Monte Carlo simulation number 490.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "<style scoped>\n",
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
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+       "      <th>4</th>\n",
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+       "      <th>490</th>\n",
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+       "      <th>495</th>\n",
+       "      <th>496</th>\n",
+       "      <th>497</th>\n",
+       "      <th>498</th>\n",
+       "      <th>499</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.000000</td>\n",
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+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
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+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.025240</td>\n",
+       "      <td>0.994252</td>\n",
+       "      <td>1.007339</td>\n",
+       "      <td>1.003842</td>\n",
+       "      <td>1.004661</td>\n",
+       "      <td>1.008039</td>\n",
+       "      <td>1.036028</td>\n",
+       "      <td>1.013963</td>\n",
+       "      <td>1.002222</td>\n",
+       "      <td>0.996770</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.995528</td>\n",
+       "      <td>1.005848</td>\n",
+       "      <td>0.985447</td>\n",
+       "      <td>0.997863</td>\n",
+       "      <td>0.981917</td>\n",
+       "      <td>1.013414</td>\n",
+       "      <td>0.982056</td>\n",
+       "      <td>1.005776</td>\n",
+       "      <td>1.002863</td>\n",
+       "      <td>0.990597</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.024945</td>\n",
+       "      <td>0.984344</td>\n",
+       "      <td>1.010838</td>\n",
+       "      <td>0.995444</td>\n",
+       "      <td>0.995019</td>\n",
+       "      <td>1.016381</td>\n",
+       "      <td>1.035466</td>\n",
+       "      <td>1.010888</td>\n",
+       "      <td>0.992452</td>\n",
+       "      <td>1.008830</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.986330</td>\n",
+       "      <td>1.007578</td>\n",
+       "      <td>0.980687</td>\n",
+       "      <td>0.998295</td>\n",
+       "      <td>0.990599</td>\n",
+       "      <td>1.013282</td>\n",
+       "      <td>0.973854</td>\n",
+       "      <td>1.001831</td>\n",
+       "      <td>1.001632</td>\n",
+       "      <td>0.982155</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.027859</td>\n",
+       "      <td>0.980948</td>\n",
+       "      <td>1.039085</td>\n",
+       "      <td>0.996435</td>\n",
+       "      <td>0.955176</td>\n",
+       "      <td>0.994890</td>\n",
+       "      <td>1.044883</td>\n",
+       "      <td>1.030342</td>\n",
+       "      <td>0.972230</td>\n",
+       "      <td>1.028340</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.993112</td>\n",
+       "      <td>1.019181</td>\n",
+       "      <td>0.959235</td>\n",
+       "      <td>0.982823</td>\n",
+       "      <td>0.992815</td>\n",
+       "      <td>1.007659</td>\n",
+       "      <td>0.991818</td>\n",
+       "      <td>0.986791</td>\n",
+       "      <td>1.005348</td>\n",
+       "      <td>0.989735</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.021238</td>\n",
+       "      <td>0.966043</td>\n",
+       "      <td>1.033850</td>\n",
+       "      <td>0.998911</td>\n",
+       "      <td>0.959645</td>\n",
+       "      <td>1.000255</td>\n",
+       "      <td>1.039067</td>\n",
+       "      <td>1.029801</td>\n",
+       "      <td>0.976492</td>\n",
+       "      <td>1.034202</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.957550</td>\n",
+       "      <td>0.984955</td>\n",
+       "      <td>0.993781</td>\n",
+       "      <td>0.995342</td>\n",
+       "      <td>1.013567</td>\n",
+       "      <td>1.005497</td>\n",
+       "      <td>0.963260</td>\n",
+       "      <td>0.986859</td>\n",
+       "      <td>1.006260</td>\n",
+       "      <td>0.985543</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1256</th>\n",
+       "      <td>1.136824</td>\n",
+       "      <td>1.059739</td>\n",
+       "      <td>2.862749</td>\n",
+       "      <td>1.536394</td>\n",
+       "      <td>1.194695</td>\n",
+       "      <td>2.131216</td>\n",
+       "      <td>1.302284</td>\n",
+       "      <td>2.044508</td>\n",
+       "      <td>1.669651</td>\n",
+       "      <td>2.288847</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.746951</td>\n",
+       "      <td>2.354714</td>\n",
+       "      <td>1.347568</td>\n",
+       "      <td>2.210135</td>\n",
+       "      <td>1.177048</td>\n",
+       "      <td>1.150474</td>\n",
+       "      <td>1.136106</td>\n",
+       "      <td>2.906233</td>\n",
+       "      <td>2.233422</td>\n",
+       "      <td>2.000418</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1257</th>\n",
+       "      <td>1.129375</td>\n",
+       "      <td>1.059733</td>\n",
+       "      <td>2.876605</td>\n",
+       "      <td>1.540728</td>\n",
+       "      <td>1.223460</td>\n",
+       "      <td>2.169137</td>\n",
+       "      <td>1.282259</td>\n",
+       "      <td>2.036708</td>\n",
+       "      <td>1.662069</td>\n",
+       "      <td>2.253778</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.817576</td>\n",
+       "      <td>2.356364</td>\n",
+       "      <td>1.360087</td>\n",
+       "      <td>2.222015</td>\n",
+       "      <td>1.183206</td>\n",
+       "      <td>1.164707</td>\n",
+       "      <td>1.160896</td>\n",
+       "      <td>2.934053</td>\n",
+       "      <td>2.262686</td>\n",
+       "      <td>1.966814</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1258</th>\n",
+       "      <td>1.133101</td>\n",
+       "      <td>1.057730</td>\n",
+       "      <td>2.977346</td>\n",
+       "      <td>1.569488</td>\n",
+       "      <td>1.232280</td>\n",
+       "      <td>2.185914</td>\n",
+       "      <td>1.285174</td>\n",
+       "      <td>2.009118</td>\n",
+       "      <td>1.643810</td>\n",
+       "      <td>2.267049</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.809375</td>\n",
+       "      <td>2.398208</td>\n",
+       "      <td>1.369752</td>\n",
+       "      <td>2.212873</td>\n",
+       "      <td>1.167419</td>\n",
+       "      <td>1.177250</td>\n",
+       "      <td>1.153452</td>\n",
+       "      <td>2.930655</td>\n",
+       "      <td>2.268406</td>\n",
+       "      <td>1.995717</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1259</th>\n",
+       "      <td>1.146316</td>\n",
+       "      <td>1.068511</td>\n",
+       "      <td>3.005279</td>\n",
+       "      <td>1.582927</td>\n",
+       "      <td>1.218385</td>\n",
+       "      <td>2.168386</td>\n",
+       "      <td>1.297530</td>\n",
+       "      <td>1.999931</td>\n",
+       "      <td>1.633240</td>\n",
+       "      <td>2.254467</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.859423</td>\n",
+       "      <td>2.401145</td>\n",
+       "      <td>1.371379</td>\n",
+       "      <td>2.225695</td>\n",
+       "      <td>1.164316</td>\n",
+       "      <td>1.166739</td>\n",
+       "      <td>1.155447</td>\n",
+       "      <td>2.871105</td>\n",
+       "      <td>2.266229</td>\n",
+       "      <td>2.023097</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1260</th>\n",
+       "      <td>1.146136</td>\n",
+       "      <td>1.043808</td>\n",
+       "      <td>2.986872</td>\n",
+       "      <td>1.567583</td>\n",
+       "      <td>1.240238</td>\n",
+       "      <td>2.224919</td>\n",
+       "      <td>1.278256</td>\n",
+       "      <td>2.014983</td>\n",
+       "      <td>1.626408</td>\n",
+       "      <td>2.287521</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.839978</td>\n",
+       "      <td>2.408209</td>\n",
+       "      <td>1.389274</td>\n",
+       "      <td>2.246986</td>\n",
+       "      <td>1.185865</td>\n",
+       "      <td>1.172749</td>\n",
+       "      <td>1.171990</td>\n",
+       "      <td>2.920379</td>\n",
+       "      <td>2.284771</td>\n",
+       "      <td>2.038920</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1261 rows × 500 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           0         1         2         3         4         5         6    \\\n",
+       "0     1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000   \n",
+       "1     1.025240  0.994252  1.007339  1.003842  1.004661  1.008039  1.036028   \n",
+       "2     1.024945  0.984344  1.010838  0.995444  0.995019  1.016381  1.035466   \n",
+       "3     1.027859  0.980948  1.039085  0.996435  0.955176  0.994890  1.044883   \n",
+       "4     1.021238  0.966043  1.033850  0.998911  0.959645  1.000255  1.039067   \n",
+       "...        ...       ...       ...       ...       ...       ...       ...   \n",
+       "1256  1.136824  1.059739  2.862749  1.536394  1.194695  2.131216  1.302284   \n",
+       "1257  1.129375  1.059733  2.876605  1.540728  1.223460  2.169137  1.282259   \n",
+       "1258  1.133101  1.057730  2.977346  1.569488  1.232280  2.185914  1.285174   \n",
+       "1259  1.146316  1.068511  3.005279  1.582927  1.218385  2.168386  1.297530   \n",
+       "1260  1.146136  1.043808  2.986872  1.567583  1.240238  2.224919  1.278256   \n",
+       "\n",
+       "           7         8         9    ...       490       491       492  \\\n",
+       "0     1.000000  1.000000  1.000000  ...  1.000000  1.000000  1.000000   \n",
+       "1     1.013963  1.002222  0.996770  ...  0.995528  1.005848  0.985447   \n",
+       "2     1.010888  0.992452  1.008830  ...  0.986330  1.007578  0.980687   \n",
+       "3     1.030342  0.972230  1.028340  ...  0.993112  1.019181  0.959235   \n",
+       "4     1.029801  0.976492  1.034202  ...  0.957550  0.984955  0.993781   \n",
+       "...        ...       ...       ...  ...       ...       ...       ...   \n",
+       "1256  2.044508  1.669651  2.288847  ...  2.746951  2.354714  1.347568   \n",
+       "1257  2.036708  1.662069  2.253778  ...  2.817576  2.356364  1.360087   \n",
+       "1258  2.009118  1.643810  2.267049  ...  2.809375  2.398208  1.369752   \n",
+       "1259  1.999931  1.633240  2.254467  ...  2.859423  2.401145  1.371379   \n",
+       "1260  2.014983  1.626408  2.287521  ...  2.839978  2.408209  1.389274   \n",
+       "\n",
+       "           493       494       495       496       497       498       499  \n",
+       "0     1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  \n",
+       "1     0.997863  0.981917  1.013414  0.982056  1.005776  1.002863  0.990597  \n",
+       "2     0.998295  0.990599  1.013282  0.973854  1.001831  1.001632  0.982155  \n",
+       "3     0.982823  0.992815  1.007659  0.991818  0.986791  1.005348  0.989735  \n",
+       "4     0.995342  1.013567  1.005497  0.963260  0.986859  1.006260  0.985543  \n",
+       "...        ...       ...       ...       ...       ...       ...       ...  \n",
+       "1256  2.210135  1.177048  1.150474  1.136106  2.906233  2.233422  2.000418  \n",
+       "1257  2.222015  1.183206  1.164707  1.160896  2.934053  2.262686  1.966814  \n",
+       "1258  2.212873  1.167419  1.177250  1.153452  2.930655  2.268406  1.995717  \n",
+       "1259  2.225695  1.164316  1.166739  1.155447  2.871105  2.266229  2.023097  \n",
+       "1260  2.246986  1.185865  1.172749  1.171990  2.920379  2.284771  2.038920  \n",
+       "\n",
+       "[1261 rows x 500 columns]"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "MC_fiveyear_SP500.calc_cumulative_return()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "line_plot = MC_fiveyear_SP500.plot_simulation()\n",
+    "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_SPY_simulation.png\", bbox_inches=\"tight\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "dist_plot = MC_fiveyear_SP500.plot_distribution()\n",
+    "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_SPY_dist.png\", bbox_inches=\"tight\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "count           500.000000\n",
+      "mean              2.895847\n",
+      "std               0.589691\n",
+      "min               1.559500\n",
+      "25%               2.454324\n",
+      "50%               2.821701\n",
+      "75%               3.213398\n",
+      "max               5.025064\n",
+      "95% CI Lower      1.962128\n",
+      "95% CI Upper      4.251050\n",
+      "Name: 1260, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Fetch summary statistics from the Monte Carlo simulation results\n",
+    "summary = MC_fiveyear.summarize_cumulative_return()\n",
+    "\n",
+    "# Print summary statistics\n",
+    "print(summary)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "There is a 95% chance that an initial investment of $10,000 in the portfolio over the next 5 years will end within in the range of $19621.28 and $42510.5\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Use the lower and upper `95%` confidence intervals to calculate the range of the possible outcomes of our $10,000 investments in Coca-Cola and Microsoft stocks\n",
+    "ci_lower = round(summary[8]*10000,2)\n",
+    "ci_upper = round(summary[9]*10000,2)\n",
+    "\n",
+    "# Print results\n",
+    "print(f\"There is a 95% chance that an initial investment of $10,000 in the portfolio\"\n",
+    "      f\" over the next 5 years will end within in the range of\"\n",
+    "      f\" ${ci_lower} and ${ci_upper}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create Plots\n",
+    "def get_daily_sp500_plot():\n",
+    "    SP500_daily_returns_1= SP500_daily_returns.plot(title='S&P 500 Daily Returns', figsize=(20,10))\n",
+    "    return SP500_daily_returns_1\n",
+    "\n",
+    "def get_daily_core_plot():\n",
+    "    core_portfolio_returns_1= core_portfolio_returns.plot(title='Portfolio Daily Returns', figsize=(20,10))\n",
+    "    return core_portfolio_returns_1\n",
+    "\n",
+    "def get_cumulative_sp500_plot():\n",
+    "    sp500_cumulative_returns_1= Sp500_cumulative_returns.plot(title='S&P 500 Cumulative Returns', figsize=(20,10))\n",
+    "    return sp500_cumulative_returns_1\n",
+    "\n",
+    "def get_cumulative_portfolio_plot():\n",
+    "    core_cumulative_returns_1= core_cumulative_returns.plot(title='Portfolio Cumulative Returns', figsize=(20,10))\n",
+    "    return core_cumulative_returns\n",
+    "\n",
+    "def get_cumulative_joint_plot():\n",
+    "    portfolio_5yrs_2= portfolio_5yrs_1.plot(title='Securities Cumulative Returns', figsize=(20,10))\n",
+    "    return portfolio_5yrs_2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'SP500_daily_returns' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[1;32m<ipython-input-6-c6160f0e6dfe>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m# Create panels to structure the layout of the dashboard\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mdaily_column\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mColumn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Daily Returns\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mget_daily_sp500_plot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mget_daily_core_plot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m cumulative_column = pn.Column(\n",
+      "\u001b[1;32m<ipython-input-5-a079096b6f03>\u001b[0m in \u001b[0;36mget_daily_sp500_plot\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m# Create Plots\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mget_daily_sp500_plot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m     \u001b[0mSP500_daily_returns_1\u001b[0m\u001b[1;33m=\u001b[0m \u001b[0mSP500_daily_returns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtitle\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'S&P 500 Daily Returns'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfigsize\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m20\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mSP500_daily_returns_1\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'SP500_daily_returns' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "# Create panels to structure the layout of the dashboard\n",
+    "daily_column = pn.Column(\"Daily Returns\", get_daily_sp500_plot(), get_daily_core_plot())\n",
+    "\n",
+    "\n",
+    "cumulative_column = pn.Column(\n",
+    "    \"Cumulative Returns\", get_cumulative_sp500_plot(),)\n",
+    "\n",
+    "joint_column = pn.Column(\n",
+    "    \"Joint Returns\", get_cumulative_joint_plot())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Final_project_notebook/.ipynb_checkpoints/Final_Notebook-checkpoint.ipynb b/Final_project_notebook/.ipynb_checkpoints/Final_Notebook-checkpoint.ipynb
new file mode 100644
index 0000000..9278221
--- /dev/null
+++ b/Final_project_notebook/.ipynb_checkpoints/Final_Notebook-checkpoint.ipynb
@@ -0,0 +1,10124 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import necessary libraries and dependencies\n",
+    "\n",
+    "import os\n",
+    "import pandas as pd\n",
+    "from pathlib import Path\n",
+    "import seaborn as sns\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import alpaca_trade_api as tradeapi\n",
+    "from MCForecastTools import MCSimulation\n",
+    "\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Clean The Data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Set the file paths for the CSVs\n",
+    "\n",
+    "eve_data = Path(\"../CSVs/ORCL-SQ-NVDA.csv\")\n",
+    "\n",
+    "eren_data = Path(\"../CSVs/BABA-PFE-NFLX-CRM-GD.csv\")\n",
+    "\n",
+    "phil_data = Path(\"../CSVs/Phil_Stocks.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Read the data\n",
+    "\n",
+    "eve_df = pd.read_csv(eve_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n",
+    "\n",
+    "eren_df = pd.read_csv(eren_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n",
+    "\n",
+    "phil_df = pd.read_csv(phil_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>WMT</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>89.74</td>\n",
+       "      <td>117.81</td>\n",
+       "      <td>92.07</td>\n",
+       "      <td>45.57</td>\n",
+       "      <td>64.98</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>63.930000</td>\n",
+       "      <td>27.822315</td>\n",
+       "      <td>111.250000</td>\n",
+       "      <td>75.269997</td>\n",
+       "      <td>129.018661</td>\n",
+       "      <td>93.46</td>\n",
+       "      <td>119.20</td>\n",
+       "      <td>94.01</td>\n",
+       "      <td>46.63</td>\n",
+       "      <td>65.87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>63.919998</td>\n",
+       "      <td>27.248917</td>\n",
+       "      <td>108.330002</td>\n",
+       "      <td>74.419998</td>\n",
+       "      <td>125.921211</td>\n",
+       "      <td>93.37</td>\n",
+       "      <td>118.68</td>\n",
+       "      <td>92.80</td>\n",
+       "      <td>46.75</td>\n",
+       "      <td>65.68</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>66.279999</td>\n",
+       "      <td>27.664425</td>\n",
+       "      <td>108.099998</td>\n",
+       "      <td>75.000000</td>\n",
+       "      <td>126.272095</td>\n",
+       "      <td>94.24</td>\n",
+       "      <td>119.65</td>\n",
+       "      <td>92.40</td>\n",
+       "      <td>46.80</td>\n",
+       "      <td>66.36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-08</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>67.699997</td>\n",
+       "      <td>27.498219</td>\n",
+       "      <td>114.930000</td>\n",
+       "      <td>75.089996</td>\n",
+       "      <td>127.666481</td>\n",
+       "      <td>95.57</td>\n",
+       "      <td>121.06</td>\n",
+       "      <td>92.47</td>\n",
+       "      <td>47.45</td>\n",
+       "      <td>66.88</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            ORCL  SQ  NVDA       BABA        PFE        NFLX        CRM  \\\n",
+       "Date                                                                      \n",
+       "2015-10-02   NaN NaN   NaN        NaN        NaN         NaN        NaN   \n",
+       "2015-10-05   NaN NaN   NaN  63.930000  27.822315  111.250000  75.269997   \n",
+       "2015-10-06   NaN NaN   NaN  63.919998  27.248917  108.330002  74.419998   \n",
+       "2015-10-07   NaN NaN   NaN  66.279999  27.664425  108.099998  75.000000   \n",
+       "2015-10-08   NaN NaN   NaN  67.699997  27.498219  114.930000  75.089996   \n",
+       "\n",
+       "                    GD    AMT      HD     FB   MSFT    WMT  \n",
+       "Date                                                        \n",
+       "2015-10-02         NaN  89.74  117.81  92.07  45.57  64.98  \n",
+       "2015-10-05  129.018661  93.46  119.20  94.01  46.63  65.87  \n",
+       "2015-10-06  125.921211  93.37  118.68  92.80  46.75  65.68  \n",
+       "2015-10-07  126.272095  94.24  119.65  92.40  46.80  66.36  \n",
+       "2015-10-08  127.666481  95.57  121.06  92.47  47.45  66.88  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Concat the df's based on what we currently have and we will add Felipe's later\n",
+    "\n",
+    "combined = pd.concat([eve_df, eren_df, phil_df], axis='columns', join='outer')\n",
+    "\n",
+    "combined.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>WMT</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.07</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>126.86</td>\n",
+       "      <td>106.26</td>\n",
+       "      <td>53.94</td>\n",
+       "      <td>60.70</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.85</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>130.21</td>\n",
+       "      <td>107.32</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>60.07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.12</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>132.50</td>\n",
+       "      <td>106.95</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>60.26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.02</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>133.60</td>\n",
+       "      <td>105.74</td>\n",
+       "      <td>54.25</td>\n",
+       "      <td>59.92</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.90</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>134.65</td>\n",
+       "      <td>105.41</td>\n",
+       "      <td>53.69</td>\n",
+       "      <td>60.24</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 ORCL     SQ       NVDA       BABA        PFE        NFLX  \\\n",
+       "Date                                                                        \n",
+       "2015-11-19  36.108597  13.07  30.458263  77.870003  27.049994  120.220001   \n",
+       "2015-11-20  36.404728  12.85  30.722525  79.949997  26.957846  123.839996   \n",
+       "2015-11-23  36.219639  12.12  30.262524  81.309998  26.245783  125.029999   \n",
+       "2015-11-24  36.515770  12.02  30.507206  80.860001  26.781923  123.309998   \n",
+       "2015-11-25  36.330700  11.90  30.468054  81.709999  27.535873  124.160004   \n",
+       "\n",
+       "                  CRM          GD     AMT      HD      FB   MSFT    WMT  \n",
+       "Date                                                                     \n",
+       "2015-11-19  80.639999  130.626297   99.63  126.86  106.26  53.94  60.70  \n",
+       "2015-11-20  80.989998  130.896194  100.49  130.21  107.32  54.19  60.07  \n",
+       "2015-11-23  80.779999  130.077530   99.94  132.50  106.95  54.19  60.26  \n",
+       "2015-11-24  80.389999  130.923172   99.26  133.60  105.74  54.25  59.92  \n",
+       "2015-11-25  80.410004  130.608292   99.09  134.65  105.41  53.69  60.24  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Dropping NAN's\n",
+    "combined_2 = combined.dropna()\n",
+    "\n",
+    "combined_2.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Creating the file path and reading in Felipe's stock picks\n",
+    "\n",
+    "felipe_data = Path(\"../CSVs/Felipe_Stocks_Final.csv\")\n",
+    "\n",
+    "felipe_df = pd.read_csv(felipe_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Cleaning Felipe's data\n",
+    "felipe_df.dropna(inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>VZ</th>\n",
+       "      <th>MCD</th>\n",
+       "      <th>Close</th>\n",
+       "      <th>CLX</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-01</th>\n",
+       "      <td>42.96</td>\n",
+       "      <td>116.07</td>\n",
+       "      <td>57.48</td>\n",
+       "      <td>115.38</td>\n",
+       "      <td>144.56</td>\n",
+       "      <td>77.93</td>\n",
+       "      <td>295.92</td>\n",
+       "      <td>68.59</td>\n",
+       "      <td>93.17</td>\n",
+       "      <td>116.61</td>\n",
+       "      <td>140.80</td>\n",
+       "      <td>98.58</td>\n",
+       "      <td>98.44</td>\n",
+       "      <td>90.13</td>\n",
+       "      <td>88.38</td>\n",
+       "      <td>96.55</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>42.84</td>\n",
+       "      <td>114.76</td>\n",
+       "      <td>58.08</td>\n",
+       "      <td>116.93</td>\n",
+       "      <td>145.86</td>\n",
+       "      <td>79.48</td>\n",
+       "      <td>303.36</td>\n",
+       "      <td>68.74</td>\n",
+       "      <td>93.93</td>\n",
+       "      <td>118.83</td>\n",
+       "      <td>143.20</td>\n",
+       "      <td>99.38</td>\n",
+       "      <td>99.39</td>\n",
+       "      <td>92.66</td>\n",
+       "      <td>89.74</td>\n",
+       "      <td>98.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>44.00</td>\n",
+       "      <td>115.91</td>\n",
+       "      <td>59.04</td>\n",
+       "      <td>118.38</td>\n",
+       "      <td>148.07</td>\n",
+       "      <td>81.82</td>\n",
+       "      <td>313.61</td>\n",
+       "      <td>70.75</td>\n",
+       "      <td>94.76</td>\n",
+       "      <td>119.65</td>\n",
+       "      <td>146.32</td>\n",
+       "      <td>101.53</td>\n",
+       "      <td>101.62</td>\n",
+       "      <td>94.59</td>\n",
+       "      <td>93.46</td>\n",
+       "      <td>100.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>44.06</td>\n",
+       "      <td>114.45</td>\n",
+       "      <td>58.69</td>\n",
+       "      <td>118.35</td>\n",
+       "      <td>148.41</td>\n",
+       "      <td>82.58</td>\n",
+       "      <td>312.73</td>\n",
+       "      <td>70.63</td>\n",
+       "      <td>93.42</td>\n",
+       "      <td>116.05</td>\n",
+       "      <td>145.79</td>\n",
+       "      <td>101.43</td>\n",
+       "      <td>101.50</td>\n",
+       "      <td>93.40</td>\n",
+       "      <td>93.37</td>\n",
+       "      <td>99.85</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>43.85</td>\n",
+       "      <td>115.25</td>\n",
+       "      <td>58.78</td>\n",
+       "      <td>119.00</td>\n",
+       "      <td>147.96</td>\n",
+       "      <td>83.24</td>\n",
+       "      <td>320.64</td>\n",
+       "      <td>71.98</td>\n",
+       "      <td>94.98</td>\n",
+       "      <td>116.43</td>\n",
+       "      <td>147.54</td>\n",
+       "      <td>102.24</td>\n",
+       "      <td>102.62</td>\n",
+       "      <td>94.31</td>\n",
+       "      <td>94.24</td>\n",
+       "      <td>99.93</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>59.39</td>\n",
+       "      <td>235.28</td>\n",
+       "      <td>84.30</td>\n",
+       "      <td>211.51</td>\n",
+       "      <td>342.58</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>59.36</td>\n",
+       "      <td>224.73</td>\n",
+       "      <td>86.07</td>\n",
+       "      <td>211.97</td>\n",
+       "      <td>349.62</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>59.24</td>\n",
+       "      <td>217.84</td>\n",
+       "      <td>84.80</td>\n",
+       "      <td>210.41</td>\n",
+       "      <td>352.14</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>59.49</td>\n",
+       "      <td>229.94</td>\n",
+       "      <td>85.92</td>\n",
+       "      <td>210.17</td>\n",
+       "      <td>355.00</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>59.45</td>\n",
+       "      <td>227.94</td>\n",
+       "      <td>86.74</td>\n",
+       "      <td>211.65</td>\n",
+       "      <td>358.46</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1260 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               VZ     MCD  Close     CLX    COST    PSX     BLK    TROW  \\\n",
+       "2015-10-01  42.96  116.07  57.48  115.38  144.56  77.93  295.92   68.59   \n",
+       "2015-10-02  42.84  114.76  58.08  116.93  145.86  79.48  303.36   68.74   \n",
+       "2015-10-05  44.00  115.91  59.04  118.38  148.07  81.82  313.61   70.75   \n",
+       "2015-10-06  44.06  114.45  58.69  118.35  148.41  82.58  312.73   70.63   \n",
+       "2015-10-07  43.85  115.25  58.78  119.00  147.96  83.24  320.64   71.98   \n",
+       "...           ...     ...    ...     ...     ...    ...     ...     ...   \n",
+       "2020-09-25  59.39  235.28  84.30  211.51  342.58  52.88  547.81  125.22   \n",
+       "2020-09-28  59.36  224.73  86.07  211.97  349.62  53.98  558.65  128.55   \n",
+       "2020-09-29  59.24  217.84  84.80  210.41  352.14  52.19  554.80  127.49   \n",
+       "2020-09-30  59.49  229.94  85.92  210.17  355.00  51.84  563.55  128.22   \n",
+       "2020-10-01  59.45  227.94  86.74  211.65  358.46  50.28  567.91  128.04   \n",
+       "\n",
+       "               JNJ     UNH     MMM     UPS     ACN     PPG     AMT     NEE  \n",
+       "2015-10-01   93.17  116.61  140.80   98.58   98.44   90.13   88.38   96.55  \n",
+       "2015-10-02   93.93  118.83  143.20   99.38   99.39   92.66   89.74   98.54  \n",
+       "2015-10-05   94.76  119.65  146.32  101.53  101.62   94.59   93.46  100.72  \n",
+       "2015-10-06   93.42  116.05  145.79  101.43  101.50   93.40   93.37   99.85  \n",
+       "2015-10-07   94.98  116.43  147.54  102.24  102.62   94.31   94.24   99.93  \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...  \n",
+       "2020-09-25  145.66  302.50  160.27  166.12  214.63  120.25  239.81  281.82  \n",
+       "2020-09-28  147.11  303.23  161.66  168.90  222.78  121.74  240.00  284.14  \n",
+       "2020-09-29  147.06  304.15  159.81  168.50  224.08  120.33  240.12  283.12  \n",
+       "2020-09-30  148.88  311.77  160.18  166.63  225.99  122.08  241.73  277.56  \n",
+       "2020-10-01  147.32  313.07  158.79  167.65  225.18  121.78  242.15  282.76  \n",
+       "\n",
+       "[1260 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Setting the index \n",
+    "\n",
+    "felipe_df.index=felipe_df.index.date\n",
+    "felipe_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>VZ</th>\n",
+       "      <th>MCD</th>\n",
+       "      <th>SBUX</th>\n",
+       "      <th>CLX</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-01</th>\n",
+       "      <td>42.96</td>\n",
+       "      <td>116.07</td>\n",
+       "      <td>57.48</td>\n",
+       "      <td>115.38</td>\n",
+       "      <td>144.56</td>\n",
+       "      <td>77.93</td>\n",
+       "      <td>295.92</td>\n",
+       "      <td>68.59</td>\n",
+       "      <td>93.17</td>\n",
+       "      <td>116.61</td>\n",
+       "      <td>140.80</td>\n",
+       "      <td>98.58</td>\n",
+       "      <td>98.44</td>\n",
+       "      <td>90.13</td>\n",
+       "      <td>88.38</td>\n",
+       "      <td>96.55</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>42.84</td>\n",
+       "      <td>114.76</td>\n",
+       "      <td>58.08</td>\n",
+       "      <td>116.93</td>\n",
+       "      <td>145.86</td>\n",
+       "      <td>79.48</td>\n",
+       "      <td>303.36</td>\n",
+       "      <td>68.74</td>\n",
+       "      <td>93.93</td>\n",
+       "      <td>118.83</td>\n",
+       "      <td>143.20</td>\n",
+       "      <td>99.38</td>\n",
+       "      <td>99.39</td>\n",
+       "      <td>92.66</td>\n",
+       "      <td>89.74</td>\n",
+       "      <td>98.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>44.00</td>\n",
+       "      <td>115.91</td>\n",
+       "      <td>59.04</td>\n",
+       "      <td>118.38</td>\n",
+       "      <td>148.07</td>\n",
+       "      <td>81.82</td>\n",
+       "      <td>313.61</td>\n",
+       "      <td>70.75</td>\n",
+       "      <td>94.76</td>\n",
+       "      <td>119.65</td>\n",
+       "      <td>146.32</td>\n",
+       "      <td>101.53</td>\n",
+       "      <td>101.62</td>\n",
+       "      <td>94.59</td>\n",
+       "      <td>93.46</td>\n",
+       "      <td>100.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>44.06</td>\n",
+       "      <td>114.45</td>\n",
+       "      <td>58.69</td>\n",
+       "      <td>118.35</td>\n",
+       "      <td>148.41</td>\n",
+       "      <td>82.58</td>\n",
+       "      <td>312.73</td>\n",
+       "      <td>70.63</td>\n",
+       "      <td>93.42</td>\n",
+       "      <td>116.05</td>\n",
+       "      <td>145.79</td>\n",
+       "      <td>101.43</td>\n",
+       "      <td>101.50</td>\n",
+       "      <td>93.40</td>\n",
+       "      <td>93.37</td>\n",
+       "      <td>99.85</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>43.85</td>\n",
+       "      <td>115.25</td>\n",
+       "      <td>58.78</td>\n",
+       "      <td>119.00</td>\n",
+       "      <td>147.96</td>\n",
+       "      <td>83.24</td>\n",
+       "      <td>320.64</td>\n",
+       "      <td>71.98</td>\n",
+       "      <td>94.98</td>\n",
+       "      <td>116.43</td>\n",
+       "      <td>147.54</td>\n",
+       "      <td>102.24</td>\n",
+       "      <td>102.62</td>\n",
+       "      <td>94.31</td>\n",
+       "      <td>94.24</td>\n",
+       "      <td>99.93</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>59.39</td>\n",
+       "      <td>235.28</td>\n",
+       "      <td>84.30</td>\n",
+       "      <td>211.51</td>\n",
+       "      <td>342.58</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>59.36</td>\n",
+       "      <td>224.73</td>\n",
+       "      <td>86.07</td>\n",
+       "      <td>211.97</td>\n",
+       "      <td>349.62</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>59.24</td>\n",
+       "      <td>217.84</td>\n",
+       "      <td>84.80</td>\n",
+       "      <td>210.41</td>\n",
+       "      <td>352.14</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>59.49</td>\n",
+       "      <td>229.94</td>\n",
+       "      <td>85.92</td>\n",
+       "      <td>210.17</td>\n",
+       "      <td>355.00</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>59.45</td>\n",
+       "      <td>227.94</td>\n",
+       "      <td>86.74</td>\n",
+       "      <td>211.65</td>\n",
+       "      <td>358.46</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1260 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               VZ     MCD   SBUX     CLX    COST    PSX     BLK    TROW  \\\n",
+       "2015-10-01  42.96  116.07  57.48  115.38  144.56  77.93  295.92   68.59   \n",
+       "2015-10-02  42.84  114.76  58.08  116.93  145.86  79.48  303.36   68.74   \n",
+       "2015-10-05  44.00  115.91  59.04  118.38  148.07  81.82  313.61   70.75   \n",
+       "2015-10-06  44.06  114.45  58.69  118.35  148.41  82.58  312.73   70.63   \n",
+       "2015-10-07  43.85  115.25  58.78  119.00  147.96  83.24  320.64   71.98   \n",
+       "...           ...     ...    ...     ...     ...    ...     ...     ...   \n",
+       "2020-09-25  59.39  235.28  84.30  211.51  342.58  52.88  547.81  125.22   \n",
+       "2020-09-28  59.36  224.73  86.07  211.97  349.62  53.98  558.65  128.55   \n",
+       "2020-09-29  59.24  217.84  84.80  210.41  352.14  52.19  554.80  127.49   \n",
+       "2020-09-30  59.49  229.94  85.92  210.17  355.00  51.84  563.55  128.22   \n",
+       "2020-10-01  59.45  227.94  86.74  211.65  358.46  50.28  567.91  128.04   \n",
+       "\n",
+       "               JNJ     UNH     MMM     UPS     ACN     PPG     AMT     NEE  \n",
+       "2015-10-01   93.17  116.61  140.80   98.58   98.44   90.13   88.38   96.55  \n",
+       "2015-10-02   93.93  118.83  143.20   99.38   99.39   92.66   89.74   98.54  \n",
+       "2015-10-05   94.76  119.65  146.32  101.53  101.62   94.59   93.46  100.72  \n",
+       "2015-10-06   93.42  116.05  145.79  101.43  101.50   93.40   93.37   99.85  \n",
+       "2015-10-07   94.98  116.43  147.54  102.24  102.62   94.31   94.24   99.93  \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...  \n",
+       "2020-09-25  145.66  302.50  160.27  166.12  214.63  120.25  239.81  281.82  \n",
+       "2020-09-28  147.11  303.23  161.66  168.90  222.78  121.74  240.00  284.14  \n",
+       "2020-09-29  147.06  304.15  159.81  168.50  224.08  120.33  240.12  283.12  \n",
+       "2020-09-30  148.88  311.77  160.18  166.63  225.99  122.08  241.73  277.56  \n",
+       "2020-10-01  147.32  313.07  158.79  167.65  225.18  121.78  242.15  282.76  \n",
+       "\n",
+       "[1260 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Fixing a column name for Felipe's picks \n",
+    "\n",
+    "column_names = felipe_df.columns.values\n",
+    "column_names[2] = 'SBUX'\n",
+    "felipe_df.columns = column_names\n",
+    "\n",
+    "felipe_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>...</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>126.86</td>\n",
+       "      <td>...</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>102.49</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>158.38</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.28</td>\n",
+       "      <td>103.37</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>100.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>130.21</td>\n",
+       "      <td>...</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>102.48</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>158.95</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>104.62</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>101.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>132.50</td>\n",
+       "      <td>...</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>102.77</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>158.65</td>\n",
+       "      <td>103.59</td>\n",
+       "      <td>107.84</td>\n",
+       "      <td>105.47</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>100.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>133.60</td>\n",
+       "      <td>...</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>102.04</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>157.75</td>\n",
+       "      <td>103.40</td>\n",
+       "      <td>107.35</td>\n",
+       "      <td>105.49</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>99.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>134.65</td>\n",
+       "      <td>...</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>101.96</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>157.63</td>\n",
+       "      <td>103.49</td>\n",
+       "      <td>107.10</td>\n",
+       "      <td>106.46</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>98.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>138.210007</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>268.55</td>\n",
+       "      <td>...</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>140.919998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>272.33</td>\n",
+       "      <td>...</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>138.550003</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>272.11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>138.429993</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>277.71</td>\n",
+       "      <td>...</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>138.220001</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>277.62</td>\n",
+       "      <td>...</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 ORCL          SQ        NVDA        BABA        PFE  \\\n",
+       "2015-11-19  36.108597   13.070000   30.458263   77.870003  27.049994   \n",
+       "2015-11-20  36.404728   12.850000   30.722525   79.949997  26.957846   \n",
+       "2015-11-23  36.219639   12.120000   30.262524   81.309998  26.245783   \n",
+       "2015-11-24  36.515770   12.020000   30.507206   80.860001  26.781923   \n",
+       "2015-11-25  36.330700   11.900000   30.468054   81.709999  27.535873   \n",
+       "...               ...         ...         ...         ...        ...   \n",
+       "2020-09-25  59.799999  157.720001  514.950012  271.089996  36.049999   \n",
+       "2020-09-28  59.580002  160.759995  521.400024  276.010010  36.389999   \n",
+       "2020-09-29  59.470001  164.809998  529.030029  276.929993  36.169998   \n",
+       "2020-09-30  59.700001  162.550003  541.219971  293.980011  36.700001   \n",
+       "2020-10-01  59.680000  168.490005  544.580017  290.049988  36.369999   \n",
+       "\n",
+       "                  NFLX         CRM          GD     AMT      HD  ...     BLK  \\\n",
+       "2015-11-19  120.220001   80.639999  130.626297   99.63  126.86  ...  359.09   \n",
+       "2015-11-20  123.839996   80.989998  130.896194  100.49  130.21  ...  362.46   \n",
+       "2015-11-23  125.029999   80.779999  130.077530   99.94  132.50  ...  363.25   \n",
+       "2015-11-24  123.309998   80.389999  130.923172   99.26  133.60  ...  356.81   \n",
+       "2015-11-25  124.160004   80.410004  130.608292   99.09  134.65  ...  360.62   \n",
+       "...                ...         ...         ...     ...     ...  ...     ...   \n",
+       "2020-09-25  482.880005  242.740005  138.210007  239.81  268.55  ...  547.81   \n",
+       "2020-09-28  490.649994  246.669998  140.919998  240.00  272.33  ...  558.65   \n",
+       "2020-09-29  493.480011  247.449997  138.550003  240.12  272.11  ...  554.80   \n",
+       "2020-09-30  500.029999  251.320007  138.429993  241.73  277.71  ...  563.55   \n",
+       "2020-10-01  527.510010  253.449997  138.220001  242.15  277.62  ...  567.91   \n",
+       "\n",
+       "              TROW     JNJ     UNH     MMM     UPS     ACN     PPG     AMT  \\\n",
+       "2015-11-19   76.38  102.49  110.63  158.38  104.10  107.28  103.37   99.63   \n",
+       "2015-11-20   76.37  102.48  112.97  158.95  104.10  107.97  104.62  100.49   \n",
+       "2015-11-23   76.15  102.77  112.16  158.65  103.59  107.84  105.47   99.94   \n",
+       "2015-11-24   75.62  102.04  113.19  157.75  103.40  107.35  105.49   99.26   \n",
+       "2015-11-25   76.01  101.96  114.41  157.63  103.49  107.10  106.46   99.09   \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...   \n",
+       "2020-09-25  125.22  145.66  302.50  160.27  166.12  214.63  120.25  239.81   \n",
+       "2020-09-28  128.55  147.11  303.23  161.66  168.90  222.78  121.74  240.00   \n",
+       "2020-09-29  127.49  147.06  304.15  159.81  168.50  224.08  120.33  240.12   \n",
+       "2020-09-30  128.22  148.88  311.77  160.18  166.63  225.99  122.08  241.73   \n",
+       "2020-10-01  128.04  147.32  313.07  158.79  167.65  225.18  121.78  242.15   \n",
+       "\n",
+       "               NEE  \n",
+       "2015-11-19  100.99  \n",
+       "2015-11-20  101.02  \n",
+       "2015-11-23  100.49  \n",
+       "2015-11-24   99.41  \n",
+       "2015-11-25   98.88  \n",
+       "...            ...  \n",
+       "2020-09-25  281.82  \n",
+       "2020-09-28  284.14  \n",
+       "2020-09-29  283.12  \n",
+       "2020-09-30  277.56  \n",
+       "2020-10-01  282.76  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Combining all of our df's to create one master df from where we will decide which stocks we chose\n",
+    "\n",
+    "combined_2 = pd.concat([eve_df, eren_df, phil_df, felipe_df], axis='columns', join='outer')\n",
+    "combined_2.dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Index(['ORCL', 'SQ', 'NVDA', 'BABA', 'PFE', 'NFLX', 'CRM', 'GD', 'AMT', 'HD',\n",
+      "       'FB', 'MSFT', 'WMT', 'VZ', 'MCD', 'SBUX', 'CLX', 'COST', 'PSX', 'BLK',\n",
+      "       'TROW', 'JNJ', 'UNH', 'MMM', 'UPS', 'ACN', 'PPG', 'AMT', 'NEE'],\n",
+      "      dtype='object')\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Just a sanity check to see all the column names to ensure that we got everything\n",
+    "\n",
+    "print(combined_2.columns)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Inital Data Calculations of All the Potential Stocks for Our Portfolio"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculate Daily Returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>...</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.002066</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>0.026407</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>-0.000098</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.003599</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.006432</td>\n",
+       "      <td>0.012092</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>0.000297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.006254</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>0.017587</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>0.002830</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>-0.001887</td>\n",
+       "      <td>-0.004899</td>\n",
+       "      <td>-0.001204</td>\n",
+       "      <td>0.008125</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>-0.005246</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>0.006501</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>0.008302</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>-0.007103</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>-0.005673</td>\n",
+       "      <td>-0.001834</td>\n",
+       "      <td>-0.004544</td>\n",
+       "      <td>0.000190</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>-0.010747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.002405</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>0.007859</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>-0.000784</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>-0.000761</td>\n",
+       "      <td>0.000870</td>\n",
+       "      <td>-0.002329</td>\n",
+       "      <td>0.009195</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>-0.005331</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.002617</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>0.000668</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>0.004021</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>0.002284</td>\n",
+       "      <td>0.006667</td>\n",
+       "      <td>0.003361</td>\n",
+       "      <td>-0.002348</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>0.004956</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>-0.003679</td>\n",
+       "      <td>0.019275</td>\n",
+       "      <td>0.012526</td>\n",
+       "      <td>0.018149</td>\n",
+       "      <td>0.009431</td>\n",
+       "      <td>0.016091</td>\n",
+       "      <td>0.016190</td>\n",
+       "      <td>0.019608</td>\n",
+       "      <td>0.000792</td>\n",
+       "      <td>0.014076</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.019788</td>\n",
+       "      <td>0.026593</td>\n",
+       "      <td>0.009955</td>\n",
+       "      <td>0.002413</td>\n",
+       "      <td>0.008673</td>\n",
+       "      <td>0.016735</td>\n",
+       "      <td>0.037972</td>\n",
+       "      <td>0.012391</td>\n",
+       "      <td>0.000792</td>\n",
+       "      <td>0.008232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.001846</td>\n",
+       "      <td>0.025193</td>\n",
+       "      <td>0.014634</td>\n",
+       "      <td>0.003333</td>\n",
+       "      <td>-0.006046</td>\n",
+       "      <td>0.005768</td>\n",
+       "      <td>0.003162</td>\n",
+       "      <td>-0.016818</td>\n",
+       "      <td>0.000500</td>\n",
+       "      <td>-0.000808</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.006892</td>\n",
+       "      <td>-0.008246</td>\n",
+       "      <td>-0.000340</td>\n",
+       "      <td>0.003034</td>\n",
+       "      <td>-0.011444</td>\n",
+       "      <td>-0.002368</td>\n",
+       "      <td>0.005835</td>\n",
+       "      <td>-0.011582</td>\n",
+       "      <td>0.000500</td>\n",
+       "      <td>-0.003590</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.003867</td>\n",
+       "      <td>-0.013713</td>\n",
+       "      <td>0.023042</td>\n",
+       "      <td>0.061568</td>\n",
+       "      <td>0.014653</td>\n",
+       "      <td>0.013273</td>\n",
+       "      <td>0.015640</td>\n",
+       "      <td>-0.000866</td>\n",
+       "      <td>0.006705</td>\n",
+       "      <td>0.020580</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.015771</td>\n",
+       "      <td>0.005726</td>\n",
+       "      <td>0.012376</td>\n",
+       "      <td>0.025053</td>\n",
+       "      <td>0.002315</td>\n",
+       "      <td>-0.011098</td>\n",
+       "      <td>0.008524</td>\n",
+       "      <td>0.014543</td>\n",
+       "      <td>0.006705</td>\n",
+       "      <td>-0.019638</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>-0.000335</td>\n",
+       "      <td>0.036543</td>\n",
+       "      <td>0.006208</td>\n",
+       "      <td>-0.013368</td>\n",
+       "      <td>-0.008992</td>\n",
+       "      <td>0.054957</td>\n",
+       "      <td>0.008475</td>\n",
+       "      <td>-0.001517</td>\n",
+       "      <td>0.001737</td>\n",
+       "      <td>-0.000324</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.007737</td>\n",
+       "      <td>-0.001404</td>\n",
+       "      <td>-0.010478</td>\n",
+       "      <td>0.004170</td>\n",
+       "      <td>-0.008678</td>\n",
+       "      <td>0.006121</td>\n",
+       "      <td>-0.003584</td>\n",
+       "      <td>-0.002457</td>\n",
+       "      <td>0.001737</td>\n",
+       "      <td>0.018735</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-02</th>\n",
+       "      <td>-0.014243</td>\n",
+       "      <td>0.006647</td>\n",
+       "      <td>-0.040563</td>\n",
+       "      <td>-0.006482</td>\n",
+       "      <td>0.000275</td>\n",
+       "      <td>-0.046350</td>\n",
+       "      <td>-0.022095</td>\n",
+       "      <td>0.016423</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                ORCL        SQ      NVDA      BABA       PFE      NFLX  \\\n",
+       "2015-11-20  0.008201 -0.016832  0.008676  0.026711 -0.003407  0.030111   \n",
+       "2015-11-23 -0.005084 -0.056809 -0.014973  0.017011 -0.026414  0.009609   \n",
+       "2015-11-24  0.008176 -0.008251  0.008085 -0.005534  0.020428 -0.013757   \n",
+       "2015-11-25 -0.005068 -0.009983 -0.001283  0.010512  0.028151  0.006893   \n",
+       "2015-11-27 -0.002038  0.012605  0.008352 -0.004039 -0.002434  0.010309   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-28 -0.003679  0.019275  0.012526  0.018149  0.009431  0.016091   \n",
+       "2020-09-29 -0.001846  0.025193  0.014634  0.003333 -0.006046  0.005768   \n",
+       "2020-09-30  0.003867 -0.013713  0.023042  0.061568  0.014653  0.013273   \n",
+       "2020-10-01 -0.000335  0.036543  0.006208 -0.013368 -0.008992  0.054957   \n",
+       "2020-10-02 -0.014243  0.006647 -0.040563 -0.006482  0.000275 -0.046350   \n",
+       "\n",
+       "                 CRM        GD       AMT        HD  ...       BLK      TROW  \\\n",
+       "2015-11-20  0.004340  0.002066  0.008632  0.026407  ...  0.009385 -0.000131   \n",
+       "2015-11-23 -0.002593 -0.006254 -0.005473  0.017587  ...  0.002180 -0.002881   \n",
+       "2015-11-24 -0.004828  0.006501 -0.006804  0.008302  ... -0.017729 -0.006960   \n",
+       "2015-11-25  0.000249 -0.002405 -0.001713  0.007859  ...  0.010678  0.005157   \n",
+       "2015-11-27 -0.005472  0.002617  0.005954  0.000668  ... -0.006184 -0.000789   \n",
+       "...              ...       ...       ...       ...  ...       ...       ...   \n",
+       "2020-09-28  0.016190  0.019608  0.000792  0.014076  ...  0.019788  0.026593   \n",
+       "2020-09-29  0.003162 -0.016818  0.000500 -0.000808  ... -0.006892 -0.008246   \n",
+       "2020-09-30  0.015640 -0.000866  0.006705  0.020580  ...  0.015771  0.005726   \n",
+       "2020-10-01  0.008475 -0.001517  0.001737 -0.000324  ...  0.007737 -0.001404   \n",
+       "2020-10-02 -0.022095  0.016423  0.000000  0.000000  ...  0.000000  0.000000   \n",
+       "\n",
+       "                 JNJ       UNH       MMM       UPS       ACN       PPG  \\\n",
+       "2015-11-20 -0.000098  0.021152  0.003599  0.000000  0.006432  0.012092   \n",
+       "2015-11-23  0.002830 -0.007170 -0.001887 -0.004899 -0.001204  0.008125   \n",
+       "2015-11-24 -0.007103  0.009183 -0.005673 -0.001834 -0.004544  0.000190   \n",
+       "2015-11-25 -0.000784  0.010778 -0.000761  0.000870 -0.002329  0.009195   \n",
+       "2015-11-27  0.004021 -0.000612  0.002284  0.006667  0.003361 -0.002348   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-28  0.009955  0.002413  0.008673  0.016735  0.037972  0.012391   \n",
+       "2020-09-29 -0.000340  0.003034 -0.011444 -0.002368  0.005835 -0.011582   \n",
+       "2020-09-30  0.012376  0.025053  0.002315 -0.011098  0.008524  0.014543   \n",
+       "2020-10-01 -0.010478  0.004170 -0.008678  0.006121 -0.003584 -0.002457   \n",
+       "2020-10-02  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
+       "\n",
+       "                 AMT       NEE  \n",
+       "2015-11-20  0.008632  0.000297  \n",
+       "2015-11-23 -0.005473 -0.005246  \n",
+       "2015-11-24 -0.006804 -0.010747  \n",
+       "2015-11-25 -0.001713 -0.005331  \n",
+       "2015-11-27  0.005954  0.004956  \n",
+       "...              ...       ...  \n",
+       "2020-09-28  0.000792  0.008232  \n",
+       "2020-09-29  0.000500 -0.003590  \n",
+       "2020-09-30  0.006705 -0.019638  \n",
+       "2020-10-01  0.001737  0.018735  \n",
+       "2020-10-02  0.000000  0.000000  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Calculating the daily returns for each stock\n",
+    "\n",
+    "portfolio_daily=combined_2.pct_change()\n",
+    "\n",
+    "portfolio_daily.dropna()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculating Cumulative Returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>...</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.250587</td>\n",
+       "      <td>-0.031071</td>\n",
+       "      <td>0.113169</td>\n",
+       "      <td>0.075993</td>\n",
+       "      <td>0.014552</td>\n",
+       "      <td>0.119791</td>\n",
+       "      <td>0.105254</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.224858</td>\n",
+       "      <td>0.113428</td>\n",
+       "      <td>0.099925</td>\n",
+       "      <td>-0.031215</td>\n",
+       "      <td>0.128906</td>\n",
+       "      <td>0.055995</td>\n",
+       "      <td>0.096810</td>\n",
+       "      <td>0.160768</td>\n",
+       "      <td>0.137022</td>\n",
+       "      <td>0.046297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>0.003075</td>\n",
+       "      <td>-0.072686</td>\n",
+       "      <td>-0.006426</td>\n",
+       "      <td>0.271860</td>\n",
+       "      <td>-0.056664</td>\n",
+       "      <td>0.123865</td>\n",
+       "      <td>0.073203</td>\n",
+       "      <td>0.008207</td>\n",
+       "      <td>0.113662</td>\n",
+       "      <td>0.124692</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.227528</td>\n",
+       "      <td>0.110220</td>\n",
+       "      <td>0.103037</td>\n",
+       "      <td>-0.038161</td>\n",
+       "      <td>0.126776</td>\n",
+       "      <td>0.050822</td>\n",
+       "      <td>0.095490</td>\n",
+       "      <td>0.170199</td>\n",
+       "      <td>0.130799</td>\n",
+       "      <td>0.040808</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.011276</td>\n",
+       "      <td>-0.080337</td>\n",
+       "      <td>0.001607</td>\n",
+       "      <td>0.264821</td>\n",
+       "      <td>-0.037394</td>\n",
+       "      <td>0.108404</td>\n",
+       "      <td>0.068022</td>\n",
+       "      <td>0.014762</td>\n",
+       "      <td>0.106084</td>\n",
+       "      <td>0.134029</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.205765</td>\n",
+       "      <td>0.102493</td>\n",
+       "      <td>0.095202</td>\n",
+       "      <td>-0.029329</td>\n",
+       "      <td>0.120384</td>\n",
+       "      <td>0.048894</td>\n",
+       "      <td>0.090512</td>\n",
+       "      <td>0.170421</td>\n",
+       "      <td>0.123105</td>\n",
+       "      <td>0.029622</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>0.006151</td>\n",
+       "      <td>-0.089518</td>\n",
+       "      <td>0.000321</td>\n",
+       "      <td>0.278117</td>\n",
+       "      <td>-0.010295</td>\n",
+       "      <td>0.116045</td>\n",
+       "      <td>0.068288</td>\n",
+       "      <td>0.012321</td>\n",
+       "      <td>0.104190</td>\n",
+       "      <td>0.142942</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.218640</td>\n",
+       "      <td>0.108179</td>\n",
+       "      <td>0.094344</td>\n",
+       "      <td>-0.018866</td>\n",
+       "      <td>0.119531</td>\n",
+       "      <td>0.049807</td>\n",
+       "      <td>0.087972</td>\n",
+       "      <td>0.181183</td>\n",
+       "      <td>0.121181</td>\n",
+       "      <td>0.024133</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.004101</td>\n",
+       "      <td>-0.078041</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.272955</td>\n",
+       "      <td>-0.012704</td>\n",
+       "      <td>0.127551</td>\n",
+       "      <td>0.062442</td>\n",
+       "      <td>0.014970</td>\n",
+       "      <td>0.110764</td>\n",
+       "      <td>0.143706</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.211104</td>\n",
+       "      <td>0.107304</td>\n",
+       "      <td>0.098744</td>\n",
+       "      <td>-0.019467</td>\n",
+       "      <td>0.122088</td>\n",
+       "      <td>0.056807</td>\n",
+       "      <td>0.091629</td>\n",
+       "      <td>0.178409</td>\n",
+       "      <td>0.127857</td>\n",
+       "      <td>0.029208</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.650023</td>\n",
+       "      <td>11.299923</td>\n",
+       "      <td>16.118508</td>\n",
+       "      <td>3.317379</td>\n",
+       "      <td>0.307943</td>\n",
+       "      <td>3.410337</td>\n",
+       "      <td>2.277136</td>\n",
+       "      <td>0.092245</td>\n",
+       "      <td>1.674393</td>\n",
+       "      <td>1.311603</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.887841</td>\n",
+       "      <td>0.874180</td>\n",
+       "      <td>0.578942</td>\n",
+       "      <td>1.600377</td>\n",
+       "      <td>0.148153</td>\n",
+       "      <td>0.713329</td>\n",
+       "      <td>1.263104</td>\n",
+       "      <td>0.350716</td>\n",
+       "      <td>1.715547</td>\n",
+       "      <td>1.942931</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>0.646976</td>\n",
+       "      <td>11.609793</td>\n",
+       "      <td>16.369015</td>\n",
+       "      <td>3.331769</td>\n",
+       "      <td>0.300036</td>\n",
+       "      <td>3.435775</td>\n",
+       "      <td>2.287498</td>\n",
+       "      <td>0.073876</td>\n",
+       "      <td>1.675730</td>\n",
+       "      <td>1.309736</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.874831</td>\n",
+       "      <td>0.858726</td>\n",
+       "      <td>0.578405</td>\n",
+       "      <td>1.608267</td>\n",
+       "      <td>0.135014</td>\n",
+       "      <td>0.709272</td>\n",
+       "      <td>1.276310</td>\n",
+       "      <td>0.335072</td>\n",
+       "      <td>1.716904</td>\n",
+       "      <td>1.932367</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.653346</td>\n",
+       "      <td>11.436879</td>\n",
+       "      <td>16.769233</td>\n",
+       "      <td>3.598467</td>\n",
+       "      <td>0.319085</td>\n",
+       "      <td>3.494652</td>\n",
+       "      <td>2.338913</td>\n",
+       "      <td>0.072946</td>\n",
+       "      <td>1.693671</td>\n",
+       "      <td>1.357270</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.904400</td>\n",
+       "      <td>0.869369</td>\n",
+       "      <td>0.597939</td>\n",
+       "      <td>1.673613</td>\n",
+       "      <td>0.137642</td>\n",
+       "      <td>0.690302</td>\n",
+       "      <td>1.295713</td>\n",
+       "      <td>0.354488</td>\n",
+       "      <td>1.735121</td>\n",
+       "      <td>1.874780</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.652792</td>\n",
+       "      <td>11.891355</td>\n",
+       "      <td>16.879549</td>\n",
+       "      <td>3.536993</td>\n",
+       "      <td>0.307224</td>\n",
+       "      <td>3.741663</td>\n",
+       "      <td>2.367211</td>\n",
+       "      <td>0.071318</td>\n",
+       "      <td>1.698351</td>\n",
+       "      <td>1.356506</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.919134</td>\n",
+       "      <td>0.866744</td>\n",
+       "      <td>0.581196</td>\n",
+       "      <td>1.684761</td>\n",
+       "      <td>0.127770</td>\n",
+       "      <td>0.700649</td>\n",
+       "      <td>1.287485</td>\n",
+       "      <td>0.351159</td>\n",
+       "      <td>1.739873</td>\n",
+       "      <td>1.928638</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-02</th>\n",
+       "      <td>0.629252</td>\n",
+       "      <td>11.977047</td>\n",
+       "      <td>16.154294</td>\n",
+       "      <td>3.507587</td>\n",
+       "      <td>0.307584</td>\n",
+       "      <td>3.521888</td>\n",
+       "      <td>2.292813</td>\n",
+       "      <td>0.088912</td>\n",
+       "      <td>1.698351</td>\n",
+       "      <td>1.356506</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.919134</td>\n",
+       "      <td>0.866744</td>\n",
+       "      <td>0.581196</td>\n",
+       "      <td>1.684761</td>\n",
+       "      <td>0.127770</td>\n",
+       "      <td>0.700649</td>\n",
+       "      <td>1.287485</td>\n",
+       "      <td>0.351159</td>\n",
+       "      <td>1.739873</td>\n",
+       "      <td>1.928638</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                ORCL         SQ       NVDA      BABA       PFE      NFLX  \\\n",
+       "2015-11-20  0.008201  -0.016832   0.008676  0.250587 -0.031071  0.113169   \n",
+       "2015-11-23  0.003075  -0.072686  -0.006426  0.271860 -0.056664  0.123865   \n",
+       "2015-11-24  0.011276  -0.080337   0.001607  0.264821 -0.037394  0.108404   \n",
+       "2015-11-25  0.006151  -0.089518   0.000321  0.278117 -0.010295  0.116045   \n",
+       "2015-11-27  0.004101  -0.078041   0.008676  0.272955 -0.012704  0.127551   \n",
+       "...              ...        ...        ...       ...       ...       ...   \n",
+       "2020-09-28  0.650023  11.299923  16.118508  3.317379  0.307943  3.410337   \n",
+       "2020-09-29  0.646976  11.609793  16.369015  3.331769  0.300036  3.435775   \n",
+       "2020-09-30  0.653346  11.436879  16.769233  3.598467  0.319085  3.494652   \n",
+       "2020-10-01  0.652792  11.891355  16.879549  3.536993  0.307224  3.741663   \n",
+       "2020-10-02  0.629252  11.977047  16.154294  3.507587  0.307584  3.521888   \n",
+       "\n",
+       "                 CRM        GD       AMT        HD  ...       BLK      TROW  \\\n",
+       "2015-11-20  0.075993  0.014552  0.119791  0.105254  ...  0.224858  0.113428   \n",
+       "2015-11-23  0.073203  0.008207  0.113662  0.124692  ...  0.227528  0.110220   \n",
+       "2015-11-24  0.068022  0.014762  0.106084  0.134029  ...  0.205765  0.102493   \n",
+       "2015-11-25  0.068288  0.012321  0.104190  0.142942  ...  0.218640  0.108179   \n",
+       "2015-11-27  0.062442  0.014970  0.110764  0.143706  ...  0.211104  0.107304   \n",
+       "...              ...       ...       ...       ...  ...       ...       ...   \n",
+       "2020-09-28  2.277136  0.092245  1.674393  1.311603  ...  0.887841  0.874180   \n",
+       "2020-09-29  2.287498  0.073876  1.675730  1.309736  ...  0.874831  0.858726   \n",
+       "2020-09-30  2.338913  0.072946  1.693671  1.357270  ...  0.904400  0.869369   \n",
+       "2020-10-01  2.367211  0.071318  1.698351  1.356506  ...  0.919134  0.866744   \n",
+       "2020-10-02  2.292813  0.088912  1.698351  1.356506  ...  0.919134  0.866744   \n",
+       "\n",
+       "                 JNJ       UNH       MMM       UPS       ACN       PPG  \\\n",
+       "2015-11-20  0.099925 -0.031215  0.128906  0.055995  0.096810  0.160768   \n",
+       "2015-11-23  0.103037 -0.038161  0.126776  0.050822  0.095490  0.170199   \n",
+       "2015-11-24  0.095202 -0.029329  0.120384  0.048894  0.090512  0.170421   \n",
+       "2015-11-25  0.094344 -0.018866  0.119531  0.049807  0.087972  0.181183   \n",
+       "2015-11-27  0.098744 -0.019467  0.122088  0.056807  0.091629  0.178409   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-28  0.578942  1.600377  0.148153  0.713329  1.263104  0.350716   \n",
+       "2020-09-29  0.578405  1.608267  0.135014  0.709272  1.276310  0.335072   \n",
+       "2020-09-30  0.597939  1.673613  0.137642  0.690302  1.295713  0.354488   \n",
+       "2020-10-01  0.581196  1.684761  0.127770  0.700649  1.287485  0.351159   \n",
+       "2020-10-02  0.581196  1.684761  0.127770  0.700649  1.287485  0.351159   \n",
+       "\n",
+       "                 AMT       NEE  \n",
+       "2015-11-20  0.137022  0.046297  \n",
+       "2015-11-23  0.130799  0.040808  \n",
+       "2015-11-24  0.123105  0.029622  \n",
+       "2015-11-25  0.121181  0.024133  \n",
+       "2015-11-27  0.127857  0.029208  \n",
+       "...              ...       ...  \n",
+       "2020-09-28  1.715547  1.942931  \n",
+       "2020-09-29  1.716904  1.932367  \n",
+       "2020-09-30  1.735121  1.874780  \n",
+       "2020-10-01  1.739873  1.928638  \n",
+       "2020-10-02  1.739873  1.928638  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Calculating each stocks cumulative return\n",
+    "\n",
+    "portfolio_cumulative = (portfolio_daily + 1).cumprod() -1 \n",
+    "portfolio_cumulative.dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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\n",
+      "text/plain": [
+       "<Figure size 2160x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "portfolio_cumulative.plot(figsize=(30,10));"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Correlation analysis of all potential stock choices"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>...</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.386744</td>\n",
+       "      <td>0.441040</td>\n",
+       "      <td>0.401531</td>\n",
+       "      <td>0.489490</td>\n",
+       "      <td>0.369383</td>\n",
+       "      <td>0.519998</td>\n",
+       "      <td>0.490317</td>\n",
+       "      <td>0.449187</td>\n",
+       "      <td>0.541530</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.574601</td>\n",
+       "      <td>0.618375</td>\n",
+       "      <td>0.499836</td>\n",
+       "      <td>0.462228</td>\n",
+       "      <td>0.493810</td>\n",
+       "      <td>0.487802</td>\n",
+       "      <td>0.591072</td>\n",
+       "      <td>0.465568</td>\n",
+       "      <td>0.449187</td>\n",
+       "      <td>0.396957</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>0.386744</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.497101</td>\n",
+       "      <td>0.435190</td>\n",
+       "      <td>0.266796</td>\n",
+       "      <td>0.406201</td>\n",
+       "      <td>0.522451</td>\n",
+       "      <td>0.352647</td>\n",
+       "      <td>0.308885</td>\n",
+       "      <td>0.450279</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.431928</td>\n",
+       "      <td>0.409611</td>\n",
+       "      <td>0.242860</td>\n",
+       "      <td>0.378159</td>\n",
+       "      <td>0.319524</td>\n",
+       "      <td>0.333834</td>\n",
+       "      <td>0.459690</td>\n",
+       "      <td>0.371524</td>\n",
+       "      <td>0.308885</td>\n",
+       "      <td>0.277866</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.441040</td>\n",
+       "      <td>0.497101</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.511186</td>\n",
+       "      <td>0.302716</td>\n",
+       "      <td>0.434059</td>\n",
+       "      <td>0.518649</td>\n",
+       "      <td>0.380077</td>\n",
+       "      <td>0.317052</td>\n",
+       "      <td>0.498054</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.480133</td>\n",
+       "      <td>0.445971</td>\n",
+       "      <td>0.321436</td>\n",
+       "      <td>0.409679</td>\n",
+       "      <td>0.428520</td>\n",
+       "      <td>0.394518</td>\n",
+       "      <td>0.482080</td>\n",
+       "      <td>0.381444</td>\n",
+       "      <td>0.317052</td>\n",
+       "      <td>0.273752</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.401531</td>\n",
+       "      <td>0.435190</td>\n",
+       "      <td>0.511186</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.277702</td>\n",
+       "      <td>0.418695</td>\n",
+       "      <td>0.458691</td>\n",
+       "      <td>0.353640</td>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.363652</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.453907</td>\n",
+       "      <td>0.409393</td>\n",
+       "      <td>0.287651</td>\n",
+       "      <td>0.319669</td>\n",
+       "      <td>0.368989</td>\n",
+       "      <td>0.345112</td>\n",
+       "      <td>0.444501</td>\n",
+       "      <td>0.384659</td>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.164492</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.489490</td>\n",
+       "      <td>0.266796</td>\n",
+       "      <td>0.302716</td>\n",
+       "      <td>0.277702</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.241524</td>\n",
+       "      <td>0.340086</td>\n",
+       "      <td>0.465807</td>\n",
+       "      <td>0.423415</td>\n",
+       "      <td>0.465854</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.499860</td>\n",
+       "      <td>0.528240</td>\n",
+       "      <td>0.601188</td>\n",
+       "      <td>0.506645</td>\n",
+       "      <td>0.467451</td>\n",
+       "      <td>0.418580</td>\n",
+       "      <td>0.472509</td>\n",
+       "      <td>0.392016</td>\n",
+       "      <td>0.423415</td>\n",
+       "      <td>0.401200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NFLX</th>\n",
+       "      <td>0.369383</td>\n",
+       "      <td>0.406201</td>\n",
+       "      <td>0.434059</td>\n",
+       "      <td>0.418695</td>\n",
+       "      <td>0.241524</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.505363</td>\n",
+       "      <td>0.265991</td>\n",
+       "      <td>0.221568</td>\n",
+       "      <td>0.356067</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.339315</td>\n",
+       "      <td>0.328485</td>\n",
+       "      <td>0.227223</td>\n",
+       "      <td>0.333898</td>\n",
+       "      <td>0.265286</td>\n",
+       "      <td>0.298567</td>\n",
+       "      <td>0.378506</td>\n",
+       "      <td>0.232731</td>\n",
+       "      <td>0.221568</td>\n",
+       "      <td>0.143194</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CRM</th>\n",
+       "      <td>0.519998</td>\n",
+       "      <td>0.522451</td>\n",
+       "      <td>0.518649</td>\n",
+       "      <td>0.458691</td>\n",
+       "      <td>0.340086</td>\n",
+       "      <td>0.505363</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.390874</td>\n",
+       "      <td>0.385879</td>\n",
+       "      <td>0.533370</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.515605</td>\n",
+       "      <td>0.481745</td>\n",
+       "      <td>0.353272</td>\n",
+       "      <td>0.415288</td>\n",
+       "      <td>0.381264</td>\n",
+       "      <td>0.360945</td>\n",
+       "      <td>0.570354</td>\n",
+       "      <td>0.395594</td>\n",
+       "      <td>0.385879</td>\n",
+       "      <td>0.296409</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>GD</th>\n",
+       "      <td>0.490317</td>\n",
+       "      <td>0.352647</td>\n",
+       "      <td>0.380077</td>\n",
+       "      <td>0.353640</td>\n",
+       "      <td>0.465807</td>\n",
+       "      <td>0.265991</td>\n",
+       "      <td>0.390874</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.436078</td>\n",
+       "      <td>0.559862</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.629273</td>\n",
+       "      <td>0.636208</td>\n",
+       "      <td>0.466839</td>\n",
+       "      <td>0.505194</td>\n",
+       "      <td>0.614054</td>\n",
+       "      <td>0.491739</td>\n",
+       "      <td>0.587317</td>\n",
+       "      <td>0.581177</td>\n",
+       "      <td>0.436078</td>\n",
+       "      <td>0.421907</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.449187</td>\n",
+       "      <td>0.308885</td>\n",
+       "      <td>0.317052</td>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.423415</td>\n",
+       "      <td>0.221568</td>\n",
+       "      <td>0.385879</td>\n",
+       "      <td>0.436078</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.489816</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.491120</td>\n",
+       "      <td>0.455302</td>\n",
+       "      <td>0.494270</td>\n",
+       "      <td>0.457972</td>\n",
+       "      <td>0.380347</td>\n",
+       "      <td>0.363920</td>\n",
+       "      <td>0.543790</td>\n",
+       "      <td>0.409436</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.634955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HD</th>\n",
+       "      <td>0.541530</td>\n",
+       "      <td>0.450279</td>\n",
+       "      <td>0.498054</td>\n",
+       "      <td>0.363652</td>\n",
+       "      <td>0.465854</td>\n",
+       "      <td>0.356067</td>\n",
+       "      <td>0.533370</td>\n",
+       "      <td>0.559862</td>\n",
+       "      <td>0.489816</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.637971</td>\n",
+       "      <td>0.580171</td>\n",
+       "      <td>0.455737</td>\n",
+       "      <td>0.547612</td>\n",
+       "      <td>0.540329</td>\n",
+       "      <td>0.496744</td>\n",
+       "      <td>0.653681</td>\n",
+       "      <td>0.565035</td>\n",
+       "      <td>0.489816</td>\n",
+       "      <td>0.469551</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FB</th>\n",
+       "      <td>0.457207</td>\n",
+       "      <td>0.436792</td>\n",
+       "      <td>0.483011</td>\n",
+       "      <td>0.468335</td>\n",
+       "      <td>0.327248</td>\n",
+       "      <td>0.462900</td>\n",
+       "      <td>0.556916</td>\n",
+       "      <td>0.347316</td>\n",
+       "      <td>0.354748</td>\n",
+       "      <td>0.476309</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.451528</td>\n",
+       "      <td>0.463039</td>\n",
+       "      <td>0.338963</td>\n",
+       "      <td>0.395071</td>\n",
+       "      <td>0.363871</td>\n",
+       "      <td>0.367420</td>\n",
+       "      <td>0.514883</td>\n",
+       "      <td>0.355301</td>\n",
+       "      <td>0.354748</td>\n",
+       "      <td>0.286661</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>0.646610</td>\n",
+       "      <td>0.543723</td>\n",
+       "      <td>0.605289</td>\n",
+       "      <td>0.542734</td>\n",
+       "      <td>0.480834</td>\n",
+       "      <td>0.513766</td>\n",
+       "      <td>0.679617</td>\n",
+       "      <td>0.493368</td>\n",
+       "      <td>0.491629</td>\n",
+       "      <td>0.619985</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.637154</td>\n",
+       "      <td>0.611672</td>\n",
+       "      <td>0.513232</td>\n",
+       "      <td>0.549118</td>\n",
+       "      <td>0.508484</td>\n",
+       "      <td>0.473321</td>\n",
+       "      <td>0.697806</td>\n",
+       "      <td>0.483476</td>\n",
+       "      <td>0.491629</td>\n",
+       "      <td>0.427397</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>WMT</th>\n",
+       "      <td>0.395824</td>\n",
+       "      <td>0.187869</td>\n",
+       "      <td>0.277678</td>\n",
+       "      <td>0.184256</td>\n",
+       "      <td>0.362778</td>\n",
+       "      <td>0.241783</td>\n",
+       "      <td>0.257522</td>\n",
+       "      <td>0.291778</td>\n",
+       "      <td>0.342883</td>\n",
+       "      <td>0.403235</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.324932</td>\n",
+       "      <td>0.396691</td>\n",
+       "      <td>0.394233</td>\n",
+       "      <td>0.329164</td>\n",
+       "      <td>0.312359</td>\n",
+       "      <td>0.344849</td>\n",
+       "      <td>0.357891</td>\n",
+       "      <td>0.214233</td>\n",
+       "      <td>0.342883</td>\n",
+       "      <td>0.353807</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>VZ</th>\n",
+       "      <td>0.386715</td>\n",
+       "      <td>0.139475</td>\n",
+       "      <td>0.207015</td>\n",
+       "      <td>0.157489</td>\n",
+       "      <td>0.420016</td>\n",
+       "      <td>0.130550</td>\n",
+       "      <td>0.223956</td>\n",
+       "      <td>0.384066</td>\n",
+       "      <td>0.422333</td>\n",
+       "      <td>0.407158</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.394041</td>\n",
+       "      <td>0.418823</td>\n",
+       "      <td>0.480680</td>\n",
+       "      <td>0.372922</td>\n",
+       "      <td>0.388611</td>\n",
+       "      <td>0.351349</td>\n",
+       "      <td>0.416289</td>\n",
+       "      <td>0.310807</td>\n",
+       "      <td>0.422008</td>\n",
+       "      <td>0.484183</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MCD</th>\n",
+       "      <td>-0.003641</td>\n",
+       "      <td>0.027750</td>\n",
+       "      <td>0.010322</td>\n",
+       "      <td>0.013460</td>\n",
+       "      <td>-0.032039</td>\n",
+       "      <td>-0.022146</td>\n",
+       "      <td>0.010757</td>\n",
+       "      <td>-0.054155</td>\n",
+       "      <td>-0.042996</td>\n",
+       "      <td>-0.009309</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.026979</td>\n",
+       "      <td>-0.042255</td>\n",
+       "      <td>-0.058079</td>\n",
+       "      <td>-0.003496</td>\n",
+       "      <td>-0.030284</td>\n",
+       "      <td>-0.067721</td>\n",
+       "      <td>-0.037804</td>\n",
+       "      <td>-0.026089</td>\n",
+       "      <td>-0.043673</td>\n",
+       "      <td>-0.072508</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SBUX</th>\n",
+       "      <td>0.526951</td>\n",
+       "      <td>0.390460</td>\n",
+       "      <td>0.384216</td>\n",
+       "      <td>0.346491</td>\n",
+       "      <td>0.399669</td>\n",
+       "      <td>0.285969</td>\n",
+       "      <td>0.456400</td>\n",
+       "      <td>0.495117</td>\n",
+       "      <td>0.480712</td>\n",
+       "      <td>0.600181</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.587104</td>\n",
+       "      <td>0.521748</td>\n",
+       "      <td>0.436940</td>\n",
+       "      <td>0.495134</td>\n",
+       "      <td>0.495364</td>\n",
+       "      <td>0.418371</td>\n",
+       "      <td>0.616191</td>\n",
+       "      <td>0.522496</td>\n",
+       "      <td>0.480909</td>\n",
+       "      <td>0.424887</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CLX</th>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.075670</td>\n",
+       "      <td>0.162118</td>\n",
+       "      <td>0.064958</td>\n",
+       "      <td>0.291965</td>\n",
+       "      <td>0.123945</td>\n",
+       "      <td>0.166157</td>\n",
+       "      <td>0.193186</td>\n",
+       "      <td>0.355846</td>\n",
+       "      <td>0.261454</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.233920</td>\n",
+       "      <td>0.266723</td>\n",
+       "      <td>0.369866</td>\n",
+       "      <td>0.214301</td>\n",
+       "      <td>0.215479</td>\n",
+       "      <td>0.236235</td>\n",
+       "      <td>0.276544</td>\n",
+       "      <td>0.132908</td>\n",
+       "      <td>0.356275</td>\n",
+       "      <td>0.408573</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COST</th>\n",
+       "      <td>0.426280</td>\n",
+       "      <td>0.292246</td>\n",
+       "      <td>0.358626</td>\n",
+       "      <td>0.265968</td>\n",
+       "      <td>0.403205</td>\n",
+       "      <td>0.311027</td>\n",
+       "      <td>0.363161</td>\n",
+       "      <td>0.381353</td>\n",
+       "      <td>0.379005</td>\n",
+       "      <td>0.505839</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.439098</td>\n",
+       "      <td>0.486854</td>\n",
+       "      <td>0.472736</td>\n",
+       "      <td>0.410483</td>\n",
+       "      <td>0.406834</td>\n",
+       "      <td>0.436928</td>\n",
+       "      <td>0.479576</td>\n",
+       "      <td>0.325553</td>\n",
+       "      <td>0.379260</td>\n",
+       "      <td>0.350427</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PSX</th>\n",
+       "      <td>0.469342</td>\n",
+       "      <td>0.352131</td>\n",
+       "      <td>0.337200</td>\n",
+       "      <td>0.326489</td>\n",
+       "      <td>0.391431</td>\n",
+       "      <td>0.208993</td>\n",
+       "      <td>0.362455</td>\n",
+       "      <td>0.571958</td>\n",
+       "      <td>0.369642</td>\n",
+       "      <td>0.479879</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.550833</td>\n",
+       "      <td>0.571133</td>\n",
+       "      <td>0.376043</td>\n",
+       "      <td>0.448549</td>\n",
+       "      <td>0.513460</td>\n",
+       "      <td>0.401974</td>\n",
+       "      <td>0.531838</td>\n",
+       "      <td>0.570767</td>\n",
+       "      <td>0.370054</td>\n",
+       "      <td>0.345528</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BLK</th>\n",
+       "      <td>0.574601</td>\n",
+       "      <td>0.431928</td>\n",
+       "      <td>0.480133</td>\n",
+       "      <td>0.453907</td>\n",
+       "      <td>0.499860</td>\n",
+       "      <td>0.339315</td>\n",
+       "      <td>0.515605</td>\n",
+       "      <td>0.629273</td>\n",
+       "      <td>0.491120</td>\n",
+       "      <td>0.637971</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.776158</td>\n",
+       "      <td>0.539930</td>\n",
+       "      <td>0.559991</td>\n",
+       "      <td>0.615458</td>\n",
+       "      <td>0.528537</td>\n",
+       "      <td>0.679808</td>\n",
+       "      <td>0.625953</td>\n",
+       "      <td>0.491559</td>\n",
+       "      <td>0.425750</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TROW</th>\n",
+       "      <td>0.618375</td>\n",
+       "      <td>0.409611</td>\n",
+       "      <td>0.445971</td>\n",
+       "      <td>0.409393</td>\n",
+       "      <td>0.528240</td>\n",
+       "      <td>0.328485</td>\n",
+       "      <td>0.481745</td>\n",
+       "      <td>0.636208</td>\n",
+       "      <td>0.455302</td>\n",
+       "      <td>0.580171</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.776158</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.512667</td>\n",
+       "      <td>0.514152</td>\n",
+       "      <td>0.606187</td>\n",
+       "      <td>0.578737</td>\n",
+       "      <td>0.636718</td>\n",
+       "      <td>0.532931</td>\n",
+       "      <td>0.455217</td>\n",
+       "      <td>0.377826</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>JNJ</th>\n",
+       "      <td>0.499836</td>\n",
+       "      <td>0.242860</td>\n",
+       "      <td>0.321436</td>\n",
+       "      <td>0.287651</td>\n",
+       "      <td>0.601188</td>\n",
+       "      <td>0.227223</td>\n",
+       "      <td>0.353272</td>\n",
+       "      <td>0.466839</td>\n",
+       "      <td>0.494270</td>\n",
+       "      <td>0.455737</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.539930</td>\n",
+       "      <td>0.512667</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.510207</td>\n",
+       "      <td>0.519309</td>\n",
+       "      <td>0.425231</td>\n",
+       "      <td>0.520004</td>\n",
+       "      <td>0.397181</td>\n",
+       "      <td>0.494477</td>\n",
+       "      <td>0.476430</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UNH</th>\n",
+       "      <td>0.462228</td>\n",
+       "      <td>0.378159</td>\n",
+       "      <td>0.409679</td>\n",
+       "      <td>0.319669</td>\n",
+       "      <td>0.506645</td>\n",
+       "      <td>0.333898</td>\n",
+       "      <td>0.415288</td>\n",
+       "      <td>0.505194</td>\n",
+       "      <td>0.457972</td>\n",
+       "      <td>0.547612</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.559991</td>\n",
+       "      <td>0.514152</td>\n",
+       "      <td>0.510207</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.483996</td>\n",
+       "      <td>0.425047</td>\n",
+       "      <td>0.526100</td>\n",
+       "      <td>0.488578</td>\n",
+       "      <td>0.458358</td>\n",
+       "      <td>0.439364</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MMM</th>\n",
+       "      <td>0.493810</td>\n",
+       "      <td>0.319524</td>\n",
+       "      <td>0.428520</td>\n",
+       "      <td>0.368989</td>\n",
+       "      <td>0.467451</td>\n",
+       "      <td>0.265286</td>\n",
+       "      <td>0.381264</td>\n",
+       "      <td>0.614054</td>\n",
+       "      <td>0.380347</td>\n",
+       "      <td>0.540329</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.615458</td>\n",
+       "      <td>0.606187</td>\n",
+       "      <td>0.519309</td>\n",
+       "      <td>0.483996</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.545729</td>\n",
+       "      <td>0.580649</td>\n",
+       "      <td>0.565495</td>\n",
+       "      <td>0.380817</td>\n",
+       "      <td>0.362916</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UPS</th>\n",
+       "      <td>0.487802</td>\n",
+       "      <td>0.333834</td>\n",
+       "      <td>0.394518</td>\n",
+       "      <td>0.345112</td>\n",
+       "      <td>0.418580</td>\n",
+       "      <td>0.298567</td>\n",
+       "      <td>0.360945</td>\n",
+       "      <td>0.491739</td>\n",
+       "      <td>0.363920</td>\n",
+       "      <td>0.496744</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.528537</td>\n",
+       "      <td>0.578737</td>\n",
+       "      <td>0.425231</td>\n",
+       "      <td>0.425047</td>\n",
+       "      <td>0.545729</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.496429</td>\n",
+       "      <td>0.449299</td>\n",
+       "      <td>0.364109</td>\n",
+       "      <td>0.326873</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ACN</th>\n",
+       "      <td>0.591072</td>\n",
+       "      <td>0.459690</td>\n",
+       "      <td>0.482080</td>\n",
+       "      <td>0.444501</td>\n",
+       "      <td>0.472509</td>\n",
+       "      <td>0.378506</td>\n",
+       "      <td>0.570354</td>\n",
+       "      <td>0.587317</td>\n",
+       "      <td>0.543790</td>\n",
+       "      <td>0.653681</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.679808</td>\n",
+       "      <td>0.636718</td>\n",
+       "      <td>0.520004</td>\n",
+       "      <td>0.526100</td>\n",
+       "      <td>0.580649</td>\n",
+       "      <td>0.496429</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.582935</td>\n",
+       "      <td>0.543947</td>\n",
+       "      <td>0.462775</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PPG</th>\n",
+       "      <td>0.465568</td>\n",
+       "      <td>0.371524</td>\n",
+       "      <td>0.381444</td>\n",
+       "      <td>0.384659</td>\n",
+       "      <td>0.392016</td>\n",
+       "      <td>0.232731</td>\n",
+       "      <td>0.395594</td>\n",
+       "      <td>0.581177</td>\n",
+       "      <td>0.409436</td>\n",
+       "      <td>0.565035</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.625953</td>\n",
+       "      <td>0.532931</td>\n",
+       "      <td>0.397181</td>\n",
+       "      <td>0.488578</td>\n",
+       "      <td>0.565495</td>\n",
+       "      <td>0.449299</td>\n",
+       "      <td>0.582935</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.410028</td>\n",
+       "      <td>0.337895</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.449187</td>\n",
+       "      <td>0.308885</td>\n",
+       "      <td>0.317052</td>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.423415</td>\n",
+       "      <td>0.221568</td>\n",
+       "      <td>0.385879</td>\n",
+       "      <td>0.436078</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.489816</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.491559</td>\n",
+       "      <td>0.455217</td>\n",
+       "      <td>0.494477</td>\n",
+       "      <td>0.458358</td>\n",
+       "      <td>0.380817</td>\n",
+       "      <td>0.364109</td>\n",
+       "      <td>0.543947</td>\n",
+       "      <td>0.410028</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.635249</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NEE</th>\n",
+       "      <td>0.396957</td>\n",
+       "      <td>0.277866</td>\n",
+       "      <td>0.273752</td>\n",
+       "      <td>0.164492</td>\n",
+       "      <td>0.401200</td>\n",
+       "      <td>0.143194</td>\n",
+       "      <td>0.296409</td>\n",
+       "      <td>0.421907</td>\n",
+       "      <td>0.634955</td>\n",
+       "      <td>0.469551</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.425750</td>\n",
+       "      <td>0.377826</td>\n",
+       "      <td>0.476430</td>\n",
+       "      <td>0.439364</td>\n",
+       "      <td>0.362916</td>\n",
+       "      <td>0.326873</td>\n",
+       "      <td>0.462775</td>\n",
+       "      <td>0.337895</td>\n",
+       "      <td>0.635249</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>29 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          ORCL        SQ      NVDA      BABA       PFE      NFLX       CRM  \\\n",
+       "ORCL  1.000000  0.386744  0.441040  0.401531  0.489490  0.369383  0.519998   \n",
+       "SQ    0.386744  1.000000  0.497101  0.435190  0.266796  0.406201  0.522451   \n",
+       "NVDA  0.441040  0.497101  1.000000  0.511186  0.302716  0.434059  0.518649   \n",
+       "BABA  0.401531  0.435190  0.511186  1.000000  0.277702  0.418695  0.458691   \n",
+       "PFE   0.489490  0.266796  0.302716  0.277702  1.000000  0.241524  0.340086   \n",
+       "NFLX  0.369383  0.406201  0.434059  0.418695  0.241524  1.000000  0.505363   \n",
+       "CRM   0.519998  0.522451  0.518649  0.458691  0.340086  0.505363  1.000000   \n",
+       "GD    0.490317  0.352647  0.380077  0.353640  0.465807  0.265991  0.390874   \n",
+       "AMT   0.449187  0.308885  0.317052  0.260417  0.423415  0.221568  0.385879   \n",
+       "HD    0.541530  0.450279  0.498054  0.363652  0.465854  0.356067  0.533370   \n",
+       "FB    0.457207  0.436792  0.483011  0.468335  0.327248  0.462900  0.556916   \n",
+       "MSFT  0.646610  0.543723  0.605289  0.542734  0.480834  0.513766  0.679617   \n",
+       "WMT   0.395824  0.187869  0.277678  0.184256  0.362778  0.241783  0.257522   \n",
+       "VZ    0.386715  0.139475  0.207015  0.157489  0.420016  0.130550  0.223956   \n",
+       "MCD  -0.003641  0.027750  0.010322  0.013460 -0.032039 -0.022146  0.010757   \n",
+       "SBUX  0.526951  0.390460  0.384216  0.346491  0.399669  0.285969  0.456400   \n",
+       "CLX   0.260417  0.075670  0.162118  0.064958  0.291965  0.123945  0.166157   \n",
+       "COST  0.426280  0.292246  0.358626  0.265968  0.403205  0.311027  0.363161   \n",
+       "PSX   0.469342  0.352131  0.337200  0.326489  0.391431  0.208993  0.362455   \n",
+       "BLK   0.574601  0.431928  0.480133  0.453907  0.499860  0.339315  0.515605   \n",
+       "TROW  0.618375  0.409611  0.445971  0.409393  0.528240  0.328485  0.481745   \n",
+       "JNJ   0.499836  0.242860  0.321436  0.287651  0.601188  0.227223  0.353272   \n",
+       "UNH   0.462228  0.378159  0.409679  0.319669  0.506645  0.333898  0.415288   \n",
+       "MMM   0.493810  0.319524  0.428520  0.368989  0.467451  0.265286  0.381264   \n",
+       "UPS   0.487802  0.333834  0.394518  0.345112  0.418580  0.298567  0.360945   \n",
+       "ACN   0.591072  0.459690  0.482080  0.444501  0.472509  0.378506  0.570354   \n",
+       "PPG   0.465568  0.371524  0.381444  0.384659  0.392016  0.232731  0.395594   \n",
+       "AMT   0.449187  0.308885  0.317052  0.260417  0.423415  0.221568  0.385879   \n",
+       "NEE   0.396957  0.277866  0.273752  0.164492  0.401200  0.143194  0.296409   \n",
+       "\n",
+       "            GD       AMT        HD  ...       BLK      TROW       JNJ  \\\n",
+       "ORCL  0.490317  0.449187  0.541530  ...  0.574601  0.618375  0.499836   \n",
+       "SQ    0.352647  0.308885  0.450279  ...  0.431928  0.409611  0.242860   \n",
+       "NVDA  0.380077  0.317052  0.498054  ...  0.480133  0.445971  0.321436   \n",
+       "BABA  0.353640  0.260417  0.363652  ...  0.453907  0.409393  0.287651   \n",
+       "PFE   0.465807  0.423415  0.465854  ...  0.499860  0.528240  0.601188   \n",
+       "NFLX  0.265991  0.221568  0.356067  ...  0.339315  0.328485  0.227223   \n",
+       "CRM   0.390874  0.385879  0.533370  ...  0.515605  0.481745  0.353272   \n",
+       "GD    1.000000  0.436078  0.559862  ...  0.629273  0.636208  0.466839   \n",
+       "AMT   0.436078  1.000000  0.489816  ...  0.491120  0.455302  0.494270   \n",
+       "HD    0.559862  0.489816  1.000000  ...  0.637971  0.580171  0.455737   \n",
+       "FB    0.347316  0.354748  0.476309  ...  0.451528  0.463039  0.338963   \n",
+       "MSFT  0.493368  0.491629  0.619985  ...  0.637154  0.611672  0.513232   \n",
+       "WMT   0.291778  0.342883  0.403235  ...  0.324932  0.396691  0.394233   \n",
+       "VZ    0.384066  0.422333  0.407158  ...  0.394041  0.418823  0.480680   \n",
+       "MCD  -0.054155 -0.042996 -0.009309  ... -0.026979 -0.042255 -0.058079   \n",
+       "SBUX  0.495117  0.480712  0.600181  ...  0.587104  0.521748  0.436940   \n",
+       "CLX   0.193186  0.355846  0.261454  ...  0.233920  0.266723  0.369866   \n",
+       "COST  0.381353  0.379005  0.505839  ...  0.439098  0.486854  0.472736   \n",
+       "PSX   0.571958  0.369642  0.479879  ...  0.550833  0.571133  0.376043   \n",
+       "BLK   0.629273  0.491120  0.637971  ...  1.000000  0.776158  0.539930   \n",
+       "TROW  0.636208  0.455302  0.580171  ...  0.776158  1.000000  0.512667   \n",
+       "JNJ   0.466839  0.494270  0.455737  ...  0.539930  0.512667  1.000000   \n",
+       "UNH   0.505194  0.457972  0.547612  ...  0.559991  0.514152  0.510207   \n",
+       "MMM   0.614054  0.380347  0.540329  ...  0.615458  0.606187  0.519309   \n",
+       "UPS   0.491739  0.363920  0.496744  ...  0.528537  0.578737  0.425231   \n",
+       "ACN   0.587317  0.543790  0.653681  ...  0.679808  0.636718  0.520004   \n",
+       "PPG   0.581177  0.409436  0.565035  ...  0.625953  0.532931  0.397181   \n",
+       "AMT   0.436078  1.000000  0.489816  ...  0.491559  0.455217  0.494477   \n",
+       "NEE   0.421907  0.634955  0.469551  ...  0.425750  0.377826  0.476430   \n",
+       "\n",
+       "           UNH       MMM       UPS       ACN       PPG       AMT       NEE  \n",
+       "ORCL  0.462228  0.493810  0.487802  0.591072  0.465568  0.449187  0.396957  \n",
+       "SQ    0.378159  0.319524  0.333834  0.459690  0.371524  0.308885  0.277866  \n",
+       "NVDA  0.409679  0.428520  0.394518  0.482080  0.381444  0.317052  0.273752  \n",
+       "BABA  0.319669  0.368989  0.345112  0.444501  0.384659  0.260417  0.164492  \n",
+       "PFE   0.506645  0.467451  0.418580  0.472509  0.392016  0.423415  0.401200  \n",
+       "NFLX  0.333898  0.265286  0.298567  0.378506  0.232731  0.221568  0.143194  \n",
+       "CRM   0.415288  0.381264  0.360945  0.570354  0.395594  0.385879  0.296409  \n",
+       "GD    0.505194  0.614054  0.491739  0.587317  0.581177  0.436078  0.421907  \n",
+       "AMT   0.457972  0.380347  0.363920  0.543790  0.409436  1.000000  0.634955  \n",
+       "HD    0.547612  0.540329  0.496744  0.653681  0.565035  0.489816  0.469551  \n",
+       "FB    0.395071  0.363871  0.367420  0.514883  0.355301  0.354748  0.286661  \n",
+       "MSFT  0.549118  0.508484  0.473321  0.697806  0.483476  0.491629  0.427397  \n",
+       "WMT   0.329164  0.312359  0.344849  0.357891  0.214233  0.342883  0.353807  \n",
+       "VZ    0.372922  0.388611  0.351349  0.416289  0.310807  0.422008  0.484183  \n",
+       "MCD  -0.003496 -0.030284 -0.067721 -0.037804 -0.026089 -0.043673 -0.072508  \n",
+       "SBUX  0.495134  0.495364  0.418371  0.616191  0.522496  0.480909  0.424887  \n",
+       "CLX   0.214301  0.215479  0.236235  0.276544  0.132908  0.356275  0.408573  \n",
+       "COST  0.410483  0.406834  0.436928  0.479576  0.325553  0.379260  0.350427  \n",
+       "PSX   0.448549  0.513460  0.401974  0.531838  0.570767  0.370054  0.345528  \n",
+       "BLK   0.559991  0.615458  0.528537  0.679808  0.625953  0.491559  0.425750  \n",
+       "TROW  0.514152  0.606187  0.578737  0.636718  0.532931  0.455217  0.377826  \n",
+       "JNJ   0.510207  0.519309  0.425231  0.520004  0.397181  0.494477  0.476430  \n",
+       "UNH   1.000000  0.483996  0.425047  0.526100  0.488578  0.458358  0.439364  \n",
+       "MMM   0.483996  1.000000  0.545729  0.580649  0.565495  0.380817  0.362916  \n",
+       "UPS   0.425047  0.545729  1.000000  0.496429  0.449299  0.364109  0.326873  \n",
+       "ACN   0.526100  0.580649  0.496429  1.000000  0.582935  0.543947  0.462775  \n",
+       "PPG   0.488578  0.565495  0.449299  0.582935  1.000000  0.410028  0.337895  \n",
+       "AMT   0.458358  0.380817  0.364109  0.543947  0.410028  1.000000  0.635249  \n",
+       "NEE   0.439364  0.362916  0.326873  0.462775  0.337895  0.635249  1.000000  \n",
+       "\n",
+       "[29 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Here we are deciphering the correlation of the stocks amongst themselves.\n",
+    "correlation_of_all_potential_stocks = portfolio_daily.corr()\n",
+    "correlation_of_all_potential_stocks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#We are using a heat map to quickly see if there are any noteable correlations that we should be concerned about.\n",
+    "sns.heatmap(correlation_of_all_potential_stocks);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Clean the data for the S&P 500"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Open</th>\n",
+       "      <th>High</th>\n",
+       "      <th>Low</th>\n",
+       "      <th>Close</th>\n",
+       "      <th>Adj Close</th>\n",
+       "      <th>Volume</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>1921.770020</td>\n",
+       "      <td>1951.359985</td>\n",
+       "      <td>1893.699951</td>\n",
+       "      <td>1951.359985</td>\n",
+       "      <td>1951.359985</td>\n",
+       "      <td>4378570000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>1954.329956</td>\n",
+       "      <td>1989.170044</td>\n",
+       "      <td>1954.329956</td>\n",
+       "      <td>1987.050049</td>\n",
+       "      <td>1987.050049</td>\n",
+       "      <td>4334490000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>1986.630005</td>\n",
+       "      <td>1991.619995</td>\n",
+       "      <td>1971.989990</td>\n",
+       "      <td>1979.920044</td>\n",
+       "      <td>1979.920044</td>\n",
+       "      <td>4202400000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>1982.339966</td>\n",
+       "      <td>1999.310059</td>\n",
+       "      <td>1976.439941</td>\n",
+       "      <td>1995.829956</td>\n",
+       "      <td>1995.829956</td>\n",
+       "      <td>4666470000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-08</th>\n",
+       "      <td>1994.010010</td>\n",
+       "      <td>2016.500000</td>\n",
+       "      <td>1987.530029</td>\n",
+       "      <td>2013.430054</td>\n",
+       "      <td>2013.430054</td>\n",
+       "      <td>3939140000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3236.659912</td>\n",
+       "      <td>3306.879883</td>\n",
+       "      <td>3228.439941</td>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>3792220000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3333.899902</td>\n",
+       "      <td>3360.739990</td>\n",
+       "      <td>3332.909912</td>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>3946060000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3350.919922</td>\n",
+       "      <td>3357.919922</td>\n",
+       "      <td>3327.540039</td>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>3651880000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3341.209961</td>\n",
+       "      <td>3393.560059</td>\n",
+       "      <td>3340.469971</td>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>4722530000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3385.870117</td>\n",
+       "      <td>3397.179932</td>\n",
+       "      <td>3361.389893</td>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>4070530000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1259 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   Open         High          Low        Close    Adj Close  \\\n",
+       "Date                                                                          \n",
+       "2015-10-02  1921.770020  1951.359985  1893.699951  1951.359985  1951.359985   \n",
+       "2015-10-05  1954.329956  1989.170044  1954.329956  1987.050049  1987.050049   \n",
+       "2015-10-06  1986.630005  1991.619995  1971.989990  1979.920044  1979.920044   \n",
+       "2015-10-07  1982.339966  1999.310059  1976.439941  1995.829956  1995.829956   \n",
+       "2015-10-08  1994.010010  2016.500000  1987.530029  2013.430054  2013.430054   \n",
+       "...                 ...          ...          ...          ...          ...   \n",
+       "2020-09-25  3236.659912  3306.879883  3228.439941  3298.459961  3298.459961   \n",
+       "2020-09-28  3333.899902  3360.739990  3332.909912  3351.600098  3351.600098   \n",
+       "2020-09-29  3350.919922  3357.919922  3327.540039  3335.469971  3335.469971   \n",
+       "2020-09-30  3341.209961  3393.560059  3340.469971  3363.000000  3363.000000   \n",
+       "2020-10-01  3385.870117  3397.179932  3361.389893  3380.800049  3380.800049   \n",
+       "\n",
+       "                Volume  \n",
+       "Date                    \n",
+       "2015-10-02  4378570000  \n",
+       "2015-10-05  4334490000  \n",
+       "2015-10-06  4202400000  \n",
+       "2015-10-07  4666470000  \n",
+       "2015-10-08  3939140000  \n",
+       "...                ...  \n",
+       "2020-09-25  3792220000  \n",
+       "2020-09-28  3946060000  \n",
+       "2020-09-29  3651880000  \n",
+       "2020-09-30  4722530000  \n",
+       "2020-10-01  4070530000  \n",
+       "\n",
+       "[1259 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Reading csv files \n",
+    "SP500_data = Path(\"../CSVs/SP500.csv\")\n",
+    "\n",
+    "raw_portfolio_data = Path(\"../CSVs/raw_portfolio.csv\")\n",
+    "# Reading csv as df\n",
+    "\n",
+    "SP500_df = pd.read_csv(SP500_data,index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n",
+    "raw_portfolio_data = pd.read_csv(raw_portfolio_data, index_col=0, parse_dates=True, infer_datetime_format=True)\n",
+    "SP500_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Close</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>1951.359985</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>1987.050049</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>1979.920044</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>1995.829956</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-08</th>\n",
+       "      <td>2013.430054</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1259 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  Close\n",
+       "Date                   \n",
+       "2015-10-02  1951.359985\n",
+       "2015-10-05  1987.050049\n",
+       "2015-10-06  1979.920044\n",
+       "2015-10-07  1995.829956\n",
+       "2015-10-08  2013.430054\n",
+       "...                 ...\n",
+       "2020-09-25  3298.459961\n",
+       "2020-09-28  3351.600098\n",
+       "2020-09-29  3335.469971\n",
+       "2020-09-30  3363.000000\n",
+       "2020-10-01  3380.800049\n",
+       "\n",
+       "[1259 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Dropping columns that are not needed\n",
+    "SP500_close_data= SP500_df.drop(columns=[\"Open\",\"High\",\"Low\",\"Adj Close\", \"Volume\"])\n",
+    "\n",
+    "SP500_close_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Here we saved the output of the dataframe into a csv file for later uses \n",
+    "\n",
+    "\n",
+    "    #SP500_close_data.to_csv(r'SP500_close_data.csv', index=True, header=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Combining S&P data with the portfolio containing all our stock picks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Close</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.38</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>102.49</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>158.38</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.28</td>\n",
+       "      <td>103.37</td>\n",
+       "      <td>100.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>...</td>\n",
+       "      <td>91.67</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>102.48</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>158.95</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>104.62</td>\n",
+       "      <td>101.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.17</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>102.77</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>158.65</td>\n",
+       "      <td>103.59</td>\n",
+       "      <td>107.84</td>\n",
+       "      <td>105.47</td>\n",
+       "      <td>100.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>...</td>\n",
+       "      <td>93.13</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>102.04</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>157.75</td>\n",
+       "      <td>103.40</td>\n",
+       "      <td>107.35</td>\n",
+       "      <td>105.49</td>\n",
+       "      <td>99.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.77</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>101.96</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>157.63</td>\n",
+       "      <td>103.49</td>\n",
+       "      <td>107.10</td>\n",
+       "      <td>106.46</td>\n",
+       "      <td>98.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>138.210007</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>140.919998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>...</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>138.550003</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>138.429993</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>...</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>138.220001</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>...</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  Close       ORCL          SQ        NVDA        BABA  \\\n",
+       "2015-11-19  2081.239990  36.108597   13.070000   30.458263   77.870003   \n",
+       "2015-11-20  2089.169922  36.404728   12.850000   30.722525   79.949997   \n",
+       "2015-11-23  2086.590088  36.219639   12.120000   30.262524   81.309998   \n",
+       "2015-11-24  2089.139893  36.515770   12.020000   30.507206   80.860001   \n",
+       "2015-11-25  2088.870117  36.330700   11.900000   30.468054   81.709999   \n",
+       "...                 ...        ...         ...         ...         ...   \n",
+       "2020-09-25  3298.459961  59.799999  157.720001  514.950012  271.089996   \n",
+       "2020-09-28  3351.600098  59.580002  160.759995  521.400024  276.010010   \n",
+       "2020-09-29  3335.469971  59.470001  164.809998  529.030029  276.929993   \n",
+       "2020-09-30  3363.000000  59.700001  162.550003  541.219971  293.980011   \n",
+       "2020-10-01  3380.800049  59.680000  168.490005  544.580017  290.049988   \n",
+       "\n",
+       "                  PFE        NFLX         CRM          GD     AMT  ...    PSX  \\\n",
+       "2015-11-19  27.049994  120.220001   80.639999  130.626297   99.63  ...  92.38   \n",
+       "2015-11-20  26.957846  123.839996   80.989998  130.896194  100.49  ...  91.67   \n",
+       "2015-11-23  26.245783  125.029999   80.779999  130.077530   99.94  ...  92.17   \n",
+       "2015-11-24  26.781923  123.309998   80.389999  130.923172   99.26  ...  93.13   \n",
+       "2015-11-25  27.535873  124.160004   80.410004  130.608292   99.09  ...  92.77   \n",
+       "...               ...         ...         ...         ...     ...  ...    ...   \n",
+       "2020-09-25  36.049999  482.880005  242.740005  138.210007  239.81  ...  52.88   \n",
+       "2020-09-28  36.389999  490.649994  246.669998  140.919998  240.00  ...  53.98   \n",
+       "2020-09-29  36.169998  493.480011  247.449997  138.550003  240.12  ...  52.19   \n",
+       "2020-09-30  36.700001  500.029999  251.320007  138.429993  241.73  ...  51.84   \n",
+       "2020-10-01  36.369999  527.510010  253.449997  138.220001  242.15  ...  50.28   \n",
+       "\n",
+       "               BLK    TROW     JNJ     UNH     MMM     UPS     ACN     PPG  \\\n",
+       "2015-11-19  359.09   76.38  102.49  110.63  158.38  104.10  107.28  103.37   \n",
+       "2015-11-20  362.46   76.37  102.48  112.97  158.95  104.10  107.97  104.62   \n",
+       "2015-11-23  363.25   76.15  102.77  112.16  158.65  103.59  107.84  105.47   \n",
+       "2015-11-24  356.81   75.62  102.04  113.19  157.75  103.40  107.35  105.49   \n",
+       "2015-11-25  360.62   76.01  101.96  114.41  157.63  103.49  107.10  106.46   \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...   \n",
+       "2020-09-25  547.81  125.22  145.66  302.50  160.27  166.12  214.63  120.25   \n",
+       "2020-09-28  558.65  128.55  147.11  303.23  161.66  168.90  222.78  121.74   \n",
+       "2020-09-29  554.80  127.49  147.06  304.15  159.81  168.50  224.08  120.33   \n",
+       "2020-09-30  563.55  128.22  148.88  311.77  160.18  166.63  225.99  122.08   \n",
+       "2020-10-01  567.91  128.04  147.32  313.07  158.79  167.65  225.18  121.78   \n",
+       "\n",
+       "               NEE  \n",
+       "2015-11-19  100.99  \n",
+       "2015-11-20  101.02  \n",
+       "2015-11-23  100.49  \n",
+       "2015-11-24   99.41  \n",
+       "2015-11-25   98.88  \n",
+       "...            ...  \n",
+       "2020-09-25  281.82  \n",
+       "2020-09-28  284.14  \n",
+       "2020-09-29  283.12  \n",
+       "2020-09-30  277.56  \n",
+       "2020-10-01  282.76  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Now we will conacat the Newly Created SP500 DataFrame with the combined_2 Dataframe\n",
+    "\n",
+    "SP500_and_general_stock_picks = pd.concat([SP500_close_data, raw_portfolio_data], axis='columns', join='outer')\n",
+    "\n",
+    "SP500_and_general_stock_picks.dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.38</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>102.49</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>158.38</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.28</td>\n",
+       "      <td>103.37</td>\n",
+       "      <td>100.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>...</td>\n",
+       "      <td>91.67</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>102.48</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>158.95</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>104.62</td>\n",
+       "      <td>101.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.17</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>102.77</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>158.65</td>\n",
+       "      <td>103.59</td>\n",
+       "      <td>107.84</td>\n",
+       "      <td>105.47</td>\n",
+       "      <td>100.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>...</td>\n",
+       "      <td>93.13</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>102.04</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>157.75</td>\n",
+       "      <td>103.40</td>\n",
+       "      <td>107.35</td>\n",
+       "      <td>105.49</td>\n",
+       "      <td>99.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.77</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>101.96</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>157.63</td>\n",
+       "      <td>103.49</td>\n",
+       "      <td>107.10</td>\n",
+       "      <td>106.46</td>\n",
+       "      <td>98.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>138.210007</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>140.919998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>...</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>138.550003</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>138.429993</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>...</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>138.220001</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>...</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  SP500       ORCL          SQ        NVDA        BABA  \\\n",
+       "2015-11-19  2081.239990  36.108597   13.070000   30.458263   77.870003   \n",
+       "2015-11-20  2089.169922  36.404728   12.850000   30.722525   79.949997   \n",
+       "2015-11-23  2086.590088  36.219639   12.120000   30.262524   81.309998   \n",
+       "2015-11-24  2089.139893  36.515770   12.020000   30.507206   80.860001   \n",
+       "2015-11-25  2088.870117  36.330700   11.900000   30.468054   81.709999   \n",
+       "...                 ...        ...         ...         ...         ...   \n",
+       "2020-09-25  3298.459961  59.799999  157.720001  514.950012  271.089996   \n",
+       "2020-09-28  3351.600098  59.580002  160.759995  521.400024  276.010010   \n",
+       "2020-09-29  3335.469971  59.470001  164.809998  529.030029  276.929993   \n",
+       "2020-09-30  3363.000000  59.700001  162.550003  541.219971  293.980011   \n",
+       "2020-10-01  3380.800049  59.680000  168.490005  544.580017  290.049988   \n",
+       "\n",
+       "                  PFE        NFLX         CRM          GD     AMT  ...    PSX  \\\n",
+       "2015-11-19  27.049994  120.220001   80.639999  130.626297   99.63  ...  92.38   \n",
+       "2015-11-20  26.957846  123.839996   80.989998  130.896194  100.49  ...  91.67   \n",
+       "2015-11-23  26.245783  125.029999   80.779999  130.077530   99.94  ...  92.17   \n",
+       "2015-11-24  26.781923  123.309998   80.389999  130.923172   99.26  ...  93.13   \n",
+       "2015-11-25  27.535873  124.160004   80.410004  130.608292   99.09  ...  92.77   \n",
+       "...               ...         ...         ...         ...     ...  ...    ...   \n",
+       "2020-09-25  36.049999  482.880005  242.740005  138.210007  239.81  ...  52.88   \n",
+       "2020-09-28  36.389999  490.649994  246.669998  140.919998  240.00  ...  53.98   \n",
+       "2020-09-29  36.169998  493.480011  247.449997  138.550003  240.12  ...  52.19   \n",
+       "2020-09-30  36.700001  500.029999  251.320007  138.429993  241.73  ...  51.84   \n",
+       "2020-10-01  36.369999  527.510010  253.449997  138.220001  242.15  ...  50.28   \n",
+       "\n",
+       "               BLK    TROW     JNJ     UNH     MMM     UPS     ACN     PPG  \\\n",
+       "2015-11-19  359.09   76.38  102.49  110.63  158.38  104.10  107.28  103.37   \n",
+       "2015-11-20  362.46   76.37  102.48  112.97  158.95  104.10  107.97  104.62   \n",
+       "2015-11-23  363.25   76.15  102.77  112.16  158.65  103.59  107.84  105.47   \n",
+       "2015-11-24  356.81   75.62  102.04  113.19  157.75  103.40  107.35  105.49   \n",
+       "2015-11-25  360.62   76.01  101.96  114.41  157.63  103.49  107.10  106.46   \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...   \n",
+       "2020-09-25  547.81  125.22  145.66  302.50  160.27  166.12  214.63  120.25   \n",
+       "2020-09-28  558.65  128.55  147.11  303.23  161.66  168.90  222.78  121.74   \n",
+       "2020-09-29  554.80  127.49  147.06  304.15  159.81  168.50  224.08  120.33   \n",
+       "2020-09-30  563.55  128.22  148.88  311.77  160.18  166.63  225.99  122.08   \n",
+       "2020-10-01  567.91  128.04  147.32  313.07  158.79  167.65  225.18  121.78   \n",
+       "\n",
+       "               NEE  \n",
+       "2015-11-19  100.99  \n",
+       "2015-11-20  101.02  \n",
+       "2015-11-23  100.49  \n",
+       "2015-11-24   99.41  \n",
+       "2015-11-25   98.88  \n",
+       "...            ...  \n",
+       "2020-09-25  281.82  \n",
+       "2020-09-28  284.14  \n",
+       "2020-09-29  283.12  \n",
+       "2020-09-30  277.56  \n",
+       "2020-10-01  282.76  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Fixing the df column so that it reads SP500 instead of Close\n",
+    "column_names = SP500_and_general_stock_picks.columns.values\n",
+    "column_names[0] = 'SP500'\n",
+    "SP500_and_general_stock_picks.columns = column_names\n",
+    "\n",
+    "\n",
+    "SP500_and_general_stock_picks.dropna(inplace=True)\n",
+    "\n",
+    "SP500_and_general_stock_picks"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# General Calculations of the newly created DataFrame"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculating Daily Returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.002066</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.007686</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>-0.000098</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.003599</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.006432</td>\n",
+       "      <td>0.012092</td>\n",
+       "      <td>0.000297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.006254</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.005454</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>0.002830</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>-0.001887</td>\n",
+       "      <td>-0.004899</td>\n",
+       "      <td>-0.001204</td>\n",
+       "      <td>0.008125</td>\n",
+       "      <td>-0.005246</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>0.006501</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.010416</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>-0.007103</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>-0.005673</td>\n",
+       "      <td>-0.001834</td>\n",
+       "      <td>-0.004544</td>\n",
+       "      <td>0.000190</td>\n",
+       "      <td>-0.010747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.002405</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.003866</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>-0.000784</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>-0.000761</td>\n",
+       "      <td>0.000870</td>\n",
+       "      <td>-0.002329</td>\n",
+       "      <td>0.009195</td>\n",
+       "      <td>-0.005331</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.002617</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.000108</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>0.004021</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>0.002284</td>\n",
+       "      <td>0.006667</td>\n",
+       "      <td>0.003361</td>\n",
+       "      <td>-0.002348</td>\n",
+       "      <td>0.004956</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.015977</td>\n",
+       "      <td>0.008432</td>\n",
+       "      <td>0.035520</td>\n",
+       "      <td>0.042578</td>\n",
+       "      <td>0.005042</td>\n",
+       "      <td>0.008110</td>\n",
+       "      <td>0.020715</td>\n",
+       "      <td>0.021848</td>\n",
+       "      <td>0.009569</td>\n",
+       "      <td>0.015370</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000568</td>\n",
+       "      <td>0.023848</td>\n",
+       "      <td>0.014502</td>\n",
+       "      <td>0.006843</td>\n",
+       "      <td>0.033623</td>\n",
+       "      <td>-0.000935</td>\n",
+       "      <td>0.035596</td>\n",
+       "      <td>0.000979</td>\n",
+       "      <td>0.010929</td>\n",
+       "      <td>0.015421</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.016111</td>\n",
+       "      <td>-0.003679</td>\n",
+       "      <td>0.019275</td>\n",
+       "      <td>0.012526</td>\n",
+       "      <td>0.018149</td>\n",
+       "      <td>0.009431</td>\n",
+       "      <td>0.016091</td>\n",
+       "      <td>0.016190</td>\n",
+       "      <td>0.019608</td>\n",
+       "      <td>0.000792</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.020802</td>\n",
+       "      <td>0.019788</td>\n",
+       "      <td>0.026593</td>\n",
+       "      <td>0.009955</td>\n",
+       "      <td>0.002413</td>\n",
+       "      <td>0.008673</td>\n",
+       "      <td>0.016735</td>\n",
+       "      <td>0.037972</td>\n",
+       "      <td>0.012391</td>\n",
+       "      <td>0.008232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.004813</td>\n",
+       "      <td>-0.001846</td>\n",
+       "      <td>0.025193</td>\n",
+       "      <td>0.014634</td>\n",
+       "      <td>0.003333</td>\n",
+       "      <td>-0.006046</td>\n",
+       "      <td>0.005768</td>\n",
+       "      <td>0.003162</td>\n",
+       "      <td>-0.016818</td>\n",
+       "      <td>0.000500</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.033160</td>\n",
+       "      <td>-0.006892</td>\n",
+       "      <td>-0.008246</td>\n",
+       "      <td>-0.000340</td>\n",
+       "      <td>0.003034</td>\n",
+       "      <td>-0.011444</td>\n",
+       "      <td>-0.002368</td>\n",
+       "      <td>0.005835</td>\n",
+       "      <td>-0.011582</td>\n",
+       "      <td>-0.003590</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.008254</td>\n",
+       "      <td>0.003867</td>\n",
+       "      <td>-0.013713</td>\n",
+       "      <td>0.023042</td>\n",
+       "      <td>0.061568</td>\n",
+       "      <td>0.014653</td>\n",
+       "      <td>0.013273</td>\n",
+       "      <td>0.015640</td>\n",
+       "      <td>-0.000866</td>\n",
+       "      <td>0.006705</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.006706</td>\n",
+       "      <td>0.015771</td>\n",
+       "      <td>0.005726</td>\n",
+       "      <td>0.012376</td>\n",
+       "      <td>0.025053</td>\n",
+       "      <td>0.002315</td>\n",
+       "      <td>-0.011098</td>\n",
+       "      <td>0.008524</td>\n",
+       "      <td>0.014543</td>\n",
+       "      <td>-0.019638</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.005293</td>\n",
+       "      <td>-0.000335</td>\n",
+       "      <td>0.036543</td>\n",
+       "      <td>0.006208</td>\n",
+       "      <td>-0.013368</td>\n",
+       "      <td>-0.008992</td>\n",
+       "      <td>0.054957</td>\n",
+       "      <td>0.008475</td>\n",
+       "      <td>-0.001517</td>\n",
+       "      <td>0.001737</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.030093</td>\n",
+       "      <td>0.007737</td>\n",
+       "      <td>-0.001404</td>\n",
+       "      <td>-0.010478</td>\n",
+       "      <td>0.004170</td>\n",
+       "      <td>-0.008678</td>\n",
+       "      <td>0.006121</td>\n",
+       "      <td>-0.003584</td>\n",
+       "      <td>-0.002457</td>\n",
+       "      <td>0.018735</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500      ORCL        SQ      NVDA      BABA       PFE  \\\n",
+       "2015-11-20  0.003810  0.008201 -0.016832  0.008676  0.026711 -0.003407   \n",
+       "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973  0.017011 -0.026414   \n",
+       "2015-11-24  0.001222  0.008176 -0.008251  0.008085 -0.005534  0.020428   \n",
+       "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283  0.010512  0.028151   \n",
+       "2015-11-27  0.000594 -0.002038  0.012605  0.008352 -0.004039 -0.002434   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.015977  0.008432  0.035520  0.042578  0.005042  0.008110   \n",
+       "2020-09-28  0.016111 -0.003679  0.019275  0.012526  0.018149  0.009431   \n",
+       "2020-09-29 -0.004813 -0.001846  0.025193  0.014634  0.003333 -0.006046   \n",
+       "2020-09-30  0.008254  0.003867 -0.013713  0.023042  0.061568  0.014653   \n",
+       "2020-10-01  0.005293 -0.000335  0.036543  0.006208 -0.013368 -0.008992   \n",
+       "\n",
+       "                NFLX       CRM        GD       AMT  ...       PSX       BLK  \\\n",
+       "2015-11-20  0.030111  0.004340  0.002066  0.008632  ... -0.007686  0.009385   \n",
+       "2015-11-23  0.009609 -0.002593 -0.006254 -0.005473  ...  0.005454  0.002180   \n",
+       "2015-11-24 -0.013757 -0.004828  0.006501 -0.006804  ...  0.010416 -0.017729   \n",
+       "2015-11-25  0.006893  0.000249 -0.002405 -0.001713  ... -0.003866  0.010678   \n",
+       "2015-11-27  0.010309 -0.005472  0.002617  0.005954  ... -0.000108 -0.006184   \n",
+       "...              ...       ...       ...       ...  ...       ...       ...   \n",
+       "2020-09-25  0.020715  0.021848  0.009569  0.015370  ...  0.000568  0.023848   \n",
+       "2020-09-28  0.016091  0.016190  0.019608  0.000792  ...  0.020802  0.019788   \n",
+       "2020-09-29  0.005768  0.003162 -0.016818  0.000500  ... -0.033160 -0.006892   \n",
+       "2020-09-30  0.013273  0.015640 -0.000866  0.006705  ... -0.006706  0.015771   \n",
+       "2020-10-01  0.054957  0.008475 -0.001517  0.001737  ... -0.030093  0.007737   \n",
+       "\n",
+       "                TROW       JNJ       UNH       MMM       UPS       ACN  \\\n",
+       "2015-11-20 -0.000131 -0.000098  0.021152  0.003599  0.000000  0.006432   \n",
+       "2015-11-23 -0.002881  0.002830 -0.007170 -0.001887 -0.004899 -0.001204   \n",
+       "2015-11-24 -0.006960 -0.007103  0.009183 -0.005673 -0.001834 -0.004544   \n",
+       "2015-11-25  0.005157 -0.000784  0.010778 -0.000761  0.000870 -0.002329   \n",
+       "2015-11-27 -0.000789  0.004021 -0.000612  0.002284  0.006667  0.003361   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.014502  0.006843  0.033623 -0.000935  0.035596  0.000979   \n",
+       "2020-09-28  0.026593  0.009955  0.002413  0.008673  0.016735  0.037972   \n",
+       "2020-09-29 -0.008246 -0.000340  0.003034 -0.011444 -0.002368  0.005835   \n",
+       "2020-09-30  0.005726  0.012376  0.025053  0.002315 -0.011098  0.008524   \n",
+       "2020-10-01 -0.001404 -0.010478  0.004170 -0.008678  0.006121 -0.003584   \n",
+       "\n",
+       "                 PPG       NEE  \n",
+       "2015-11-20  0.012092  0.000297  \n",
+       "2015-11-23  0.008125 -0.005246  \n",
+       "2015-11-24  0.000190 -0.010747  \n",
+       "2015-11-25  0.009195 -0.005331  \n",
+       "2015-11-27 -0.002348  0.004956  \n",
+       "...              ...       ...  \n",
+       "2020-09-25  0.010929  0.015421  \n",
+       "2020-09-28  0.012391  0.008232  \n",
+       "2020-09-29 -0.011582 -0.003590  \n",
+       "2020-09-30  0.014543 -0.019638  \n",
+       "2020-10-01 -0.002457  0.018735  \n",
+       "\n",
+       "[1224 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Calculating the % daily change of the SP500 + our stock picks\n",
+    "daily_returns_of_SP500_general_stock_picks = SP500_and_general_stock_picks.pct_change()\n",
+    "daily_returns_of_SP500_general_stock_picks.head()\n",
+    "\n",
+    "daily_returns_of_SP500_general_stock_picks.dropna(inplace=True)\n",
+    "\n",
+    "daily_returns_of_SP500_general_stock_picks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "SP500\n",
+      "ORCL\n",
+      "SQ\n",
+      "NVDA\n",
+      "BABA\n",
+      "PFE\n",
+      "NFLX\n",
+      "CRM\n",
+      "GD\n",
+      "AMT\n",
+      "HD\n",
+      "FB\n",
+      "MSFT\n",
+      "WMT\n",
+      "VZ\n",
+      "MCD\n",
+      "SBUX\n",
+      "CLX\n",
+      "COST\n",
+      "PSX\n",
+      "BLK\n",
+      "TROW\n",
+      "JNJ\n",
+      "UNH\n",
+      "MMM\n",
+      "UPS\n",
+      "ACN\n",
+      "PPG\n",
+      "NEE\n"
+     ]
+    }
+   ],
+   "source": [
+    "for col in daily_returns_of_SP500_general_stock_picks.columns: \n",
+    "    print(col)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculating Beta for each stock "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Calculating covariance of the our stock portfolio of daily returns\n",
+    "\n",
+    "ORCL_covariance = daily_returns_of_SP500_general_stock_picks['ORCL'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "SQ_covariance = daily_returns_of_SP500_general_stock_picks['SQ'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "NVDA_covariance = daily_returns_of_SP500_general_stock_picks['NVDA'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "BABA_covariance = daily_returns_of_SP500_general_stock_picks['BABA'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "PFE_covariance = daily_returns_of_SP500_general_stock_picks['PFE'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "NFLX_covariance = daily_returns_of_SP500_general_stock_picks['NFLX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "CRM_covariance = daily_returns_of_SP500_general_stock_picks['CRM'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "GD_covariance = daily_returns_of_SP500_general_stock_picks['GD'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "AMT_covariance = daily_returns_of_SP500_general_stock_picks['AMT'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "HD_covariance = daily_returns_of_SP500_general_stock_picks['HD'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "FB_covariance = daily_returns_of_SP500_general_stock_picks['FB'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "MSFT_covariance = daily_returns_of_SP500_general_stock_picks['MSFT'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "WMT_covariance = daily_returns_of_SP500_general_stock_picks['WMT'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "VZ_covariance = daily_returns_of_SP500_general_stock_picks['VZ'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "MCD_covariance = daily_returns_of_SP500_general_stock_picks['MCD'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "SBUX_covariance = daily_returns_of_SP500_general_stock_picks['SBUX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "CLX_covariance = daily_returns_of_SP500_general_stock_picks['CLX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "COST_covariance = daily_returns_of_SP500_general_stock_picks['COST'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "PSX_covariance = daily_returns_of_SP500_general_stock_picks['PSX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "BLK_covariance = daily_returns_of_SP500_general_stock_picks['BLK'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "TROW_covariance = daily_returns_of_SP500_general_stock_picks['TROW'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "JNJ_covariance = daily_returns_of_SP500_general_stock_picks['JNJ'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "UNH_covariance = daily_returns_of_SP500_general_stock_picks['UNH'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "MMM_covariance = daily_returns_of_SP500_general_stock_picks['MMM'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "UPS_covariance = daily_returns_of_SP500_general_stock_picks['UPS'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "ACN_covariance = daily_returns_of_SP500_general_stock_picks['ACN'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "PPG_covariance = daily_returns_of_SP500_general_stock_picks['PPG'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "NEE_covariance = daily_returns_of_SP500_general_stock_picks['NEE'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.00014785817616144565"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#calculating Variance of SP500\n",
+    "\n",
+    "variance = daily_returns_of_SP500_general_stock_picks['SP500'].var()\n",
+    "variance\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Calculating covariance of stocks used to determine which stocks will stay in our portfolio and which will be dropped\n",
+    "\n",
+    "ORCL_beta = ORCL_covariance / variance\n",
+    "SQ_beta = SQ_covariance / variance\n",
+    "BABA_beta = BABA_covariance / variance\n",
+    "PFE_beta = PFE_covariance / variance\n",
+    "NFLX_beta = NFLX_covariance / variance\n",
+    "CRM_beta = CRM_covariance / variance\n",
+    "GD_beta = GD_covariance / variance\n",
+    "AMT_beta = AMT_covariance / variance\n",
+    "HD_beta = HD_covariance / variance\n",
+    "FB_beta = FB_covariance / variance\n",
+    "MSFT_beta = MSFT_covariance / variance\n",
+    "WMT_beta = WMT_covariance / variance\n",
+    "VZ_beta = VZ_covariance / variance\n",
+    "MCD_beta = MCD_covariance / variance\n",
+    "SBUX_beta = SBUX_covariance / variance\n",
+    "CLX_beta = CLX_covariance / variance\n",
+    "COST_beta = COST_covariance / variance\n",
+    "PSX_beta = PSX_covariance / variance\n",
+    "BLK_beta = BLK_covariance / variance\n",
+    "TROW_beta = TROW_covariance / variance\n",
+    "JNJ_beta = JNJ_covariance / variance\n",
+    "UNH_beta = UNH_covariance / variance\n",
+    "MMM_beta = MMM_covariance / variance\n",
+    "UPS_beta = UPS_covariance / variance\n",
+    "ACN_beta = ACN_covariance / variance\n",
+    "PPG_beta = PPG_covariance / variance\n",
+    "NEE_beta = NEE_covariance / variance"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'ORCL': 0.9769549555886817,\n",
+       " 'SQ': 1.5733357802790633,\n",
+       " 'NVDA': 0.9769549555886817,\n",
+       " 'BABA': 0.9259970212008787,\n",
+       " 'PFE': 0.7086025412089901,\n",
+       " 'NFLX': 1.0012252752845145,\n",
+       " 'CRM': 1.1741466397375553,\n",
+       " 'GD': 0.9164540496291751,\n",
+       " 'AMT': 0.8211519138482752,\n",
+       " 'HD': 1.0441345895014473,\n",
+       " 'FB': 1.0632491001241937,\n",
+       " 'MSFT': 1.1997107974053545,\n",
+       " 'WMT': 0.5377679951870248,\n",
+       " 'VZ': 0.5170806353266986,\n",
+       " 'MCD': -0.031713051802039975,\n",
+       " 'SBUX': 1.001966415362131,\n",
+       " 'CLX': 0.34932730372514326,\n",
+       " 'COST': 0.652210226608838,\n",
+       " 'PSX': 1.210976849419251,\n",
+       " 'BLK': 1.2445144852629633,\n",
+       " 'TROW': 1.2107585898939726,\n",
+       " 'JNJ': 0.6636170131399196,\n",
+       " 'UNH': 1.0346792426874538,\n",
+       " 'MMM': 0.9011592323738653,\n",
+       " 'UPS': 0.8359317125085839,\n",
+       " 'ACN': 1.0574321882503792,\n",
+       " 'PPG': 0.9746945125982714,\n",
+       " 'NEE': 0.6773761086824459}"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Sanity check of our Covariances by creating a dictionary to read the data\n",
+    "\n",
+    "beta = {\n",
+    "  \"ORCL\": ORCL_beta,\n",
+    "  \"SQ\" : SQ_beta,\n",
+    "  \"NVDA\": ORCL_beta,\n",
+    "  \"BABA\": BABA_beta,\n",
+    "  \"PFE\": PFE_beta,\n",
+    "  \"NFLX\": NFLX_beta,\n",
+    "  \"CRM\": CRM_beta,\n",
+    "  \"GD\": GD_beta,\n",
+    "  \"AMT\": AMT_beta,\n",
+    "  \"HD\": HD_beta,\n",
+    "  \"FB\": FB_beta,\n",
+    "  \"MSFT\": MSFT_beta,\n",
+    "  \"WMT\": WMT_beta,\n",
+    "  \"VZ\": VZ_beta,\n",
+    "  \"MCD\": MCD_beta,\n",
+    "  \"SBUX\": SBUX_beta,\n",
+    "  \"CLX\": CLX_beta,\n",
+    "  \"COST\": COST_beta,\n",
+    "  \"PSX\": PSX_beta,\n",
+    "  \"BLK\": BLK_beta,\n",
+    "  \"TROW\": TROW_beta,\n",
+    "  \"JNJ\": JNJ_beta,\n",
+    "  \"UNH\": UNH_beta,\n",
+    "  \"MMM\": MMM_beta,\n",
+    "  \"UPS\": UPS_beta,\n",
+    "  \"ACN\": ACN_beta,\n",
+    "  \"PPG\": PPG_beta,\n",
+    "  \"NEE\": NEE_beta\n",
+    "}\n",
+    "\n",
+    "beta"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MCD -0.031713051802039975\n",
+      "CLX 0.34932730372514326\n",
+      "VZ 0.5170806353266986\n",
+      "WMT 0.5377679951870248\n",
+      "COST 0.652210226608838\n",
+      "JNJ 0.6636170131399196\n",
+      "NEE 0.6773761086824459\n",
+      "PFE 0.7086025412089901\n",
+      "AMT 0.8211519138482752\n",
+      "UPS 0.8359317125085839\n",
+      "MMM 0.9011592323738653\n",
+      "GD 0.9164540496291751\n",
+      "BABA 0.9259970212008787\n",
+      "PPG 0.9746945125982714\n",
+      "ORCL 0.9769549555886817\n",
+      "NVDA 0.9769549555886817\n",
+      "NFLX 1.0012252752845145\n",
+      "SBUX 1.001966415362131\n",
+      "UNH 1.0346792426874538\n",
+      "HD 1.0441345895014473\n",
+      "ACN 1.0574321882503792\n",
+      "FB 1.0632491001241937\n",
+      "CRM 1.1741466397375553\n",
+      "MSFT 1.1997107974053545\n",
+      "TROW 1.2107585898939726\n",
+      "PSX 1.210976849419251\n",
+      "BLK 1.2445144852629633\n",
+      "SQ 1.5733357802790633\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Sorting Beta from lowest to highest\n",
+    "\n",
+    "sorted_beta = sorted(beta.items(),key=lambda x: x[1], reverse=False)\n",
+    "\n",
+    "for i in sorted_beta: print(i[0], i[1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Calculating Correlation of S&P500 to Our Stock Picks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>SP500</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>0.718211</td>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.678114</td>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>0.643808</td>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>0.705586</td>\n",
+       "      <td>0.633569</td>\n",
+       "      <td>0.808055</td>\n",
+       "      <td>0.698629</td>\n",
+       "      <td>0.562373</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.386958</td>\n",
+       "      <td>0.440505</td>\n",
+       "      <td>0.401409</td>\n",
+       "      <td>0.489646</td>\n",
+       "      <td>0.368666</td>\n",
+       "      <td>0.519628</td>\n",
+       "      <td>0.491460</td>\n",
+       "      <td>0.449295</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.469504</td>\n",
+       "      <td>0.574767</td>\n",
+       "      <td>0.618554</td>\n",
+       "      <td>0.499977</td>\n",
+       "      <td>0.462337</td>\n",
+       "      <td>0.493965</td>\n",
+       "      <td>0.487937</td>\n",
+       "      <td>0.591231</td>\n",
+       "      <td>0.465708</td>\n",
+       "      <td>0.397040</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>0.386958</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.497670</td>\n",
+       "      <td>0.435255</td>\n",
+       "      <td>0.266798</td>\n",
+       "      <td>0.406967</td>\n",
+       "      <td>0.522806</td>\n",
+       "      <td>0.352706</td>\n",
+       "      <td>0.308892</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.352132</td>\n",
+       "      <td>0.431933</td>\n",
+       "      <td>0.409616</td>\n",
+       "      <td>0.242864</td>\n",
+       "      <td>0.378167</td>\n",
+       "      <td>0.319526</td>\n",
+       "      <td>0.333839</td>\n",
+       "      <td>0.459697</td>\n",
+       "      <td>0.371528</td>\n",
+       "      <td>0.277875</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>0.440505</td>\n",
+       "      <td>0.497670</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.511204</td>\n",
+       "      <td>0.302971</td>\n",
+       "      <td>0.432834</td>\n",
+       "      <td>0.518064</td>\n",
+       "      <td>0.381814</td>\n",
+       "      <td>0.317262</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.337503</td>\n",
+       "      <td>0.480509</td>\n",
+       "      <td>0.446315</td>\n",
+       "      <td>0.321677</td>\n",
+       "      <td>0.409963</td>\n",
+       "      <td>0.428878</td>\n",
+       "      <td>0.394818</td>\n",
+       "      <td>0.482439</td>\n",
+       "      <td>0.381751</td>\n",
+       "      <td>0.273910</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>0.401409</td>\n",
+       "      <td>0.435255</td>\n",
+       "      <td>0.511204</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.271929</td>\n",
+       "      <td>0.424142</td>\n",
+       "      <td>0.459182</td>\n",
+       "      <td>0.351660</td>\n",
+       "      <td>0.256468</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.324386</td>\n",
+       "      <td>0.454519</td>\n",
+       "      <td>0.411006</td>\n",
+       "      <td>0.281382</td>\n",
+       "      <td>0.322509</td>\n",
+       "      <td>0.369862</td>\n",
+       "      <td>0.350588</td>\n",
+       "      <td>0.443488</td>\n",
+       "      <td>0.386716</td>\n",
+       "      <td>0.163250</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>0.489646</td>\n",
+       "      <td>0.266798</td>\n",
+       "      <td>0.302971</td>\n",
+       "      <td>0.271929</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.255231</td>\n",
+       "      <td>0.343271</td>\n",
+       "      <td>0.471287</td>\n",
+       "      <td>0.426877</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.398428</td>\n",
+       "      <td>0.505123</td>\n",
+       "      <td>0.535580</td>\n",
+       "      <td>0.603870</td>\n",
+       "      <td>0.505540</td>\n",
+       "      <td>0.474353</td>\n",
+       "      <td>0.426225</td>\n",
+       "      <td>0.477271</td>\n",
+       "      <td>0.394458</td>\n",
+       "      <td>0.411663</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NFLX</th>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>0.368666</td>\n",
+       "      <td>0.406967</td>\n",
+       "      <td>0.432834</td>\n",
+       "      <td>0.424142</td>\n",
+       "      <td>0.255231</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.517518</td>\n",
+       "      <td>0.269976</td>\n",
+       "      <td>0.224412</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.208610</td>\n",
+       "      <td>0.343955</td>\n",
+       "      <td>0.336051</td>\n",
+       "      <td>0.233285</td>\n",
+       "      <td>0.337498</td>\n",
+       "      <td>0.268799</td>\n",
+       "      <td>0.302649</td>\n",
+       "      <td>0.378277</td>\n",
+       "      <td>0.236955</td>\n",
+       "      <td>0.150619</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CRM</th>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>0.519628</td>\n",
+       "      <td>0.522806</td>\n",
+       "      <td>0.518064</td>\n",
+       "      <td>0.459182</td>\n",
+       "      <td>0.343271</td>\n",
+       "      <td>0.517518</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.390746</td>\n",
+       "      <td>0.385774</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.364246</td>\n",
+       "      <td>0.517619</td>\n",
+       "      <td>0.482899</td>\n",
+       "      <td>0.350679</td>\n",
+       "      <td>0.426561</td>\n",
+       "      <td>0.380771</td>\n",
+       "      <td>0.360656</td>\n",
+       "      <td>0.573153</td>\n",
+       "      <td>0.397626</td>\n",
+       "      <td>0.297884</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>GD</th>\n",
+       "      <td>0.718211</td>\n",
+       "      <td>0.491460</td>\n",
+       "      <td>0.352706</td>\n",
+       "      <td>0.381814</td>\n",
+       "      <td>0.351660</td>\n",
+       "      <td>0.471287</td>\n",
+       "      <td>0.269976</td>\n",
+       "      <td>0.390746</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.433965</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.575444</td>\n",
+       "      <td>0.632679</td>\n",
+       "      <td>0.637720</td>\n",
+       "      <td>0.463809</td>\n",
+       "      <td>0.515648</td>\n",
+       "      <td>0.612809</td>\n",
+       "      <td>0.492406</td>\n",
+       "      <td>0.585783</td>\n",
+       "      <td>0.581516</td>\n",
+       "      <td>0.422481</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>0.449295</td>\n",
+       "      <td>0.308892</td>\n",
+       "      <td>0.317262</td>\n",
+       "      <td>0.256468</td>\n",
+       "      <td>0.426877</td>\n",
+       "      <td>0.224412</td>\n",
+       "      <td>0.385774</td>\n",
+       "      <td>0.433965</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.366028</td>\n",
+       "      <td>0.487550</td>\n",
+       "      <td>0.449716</td>\n",
+       "      <td>0.491896</td>\n",
+       "      <td>0.469692</td>\n",
+       "      <td>0.375233</td>\n",
+       "      <td>0.361974</td>\n",
+       "      <td>0.540575</td>\n",
+       "      <td>0.405584</td>\n",
+       "      <td>0.637052</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HD</th>\n",
+       "      <td>0.785353</td>\n",
+       "      <td>0.541672</td>\n",
+       "      <td>0.450287</td>\n",
+       "      <td>0.498425</td>\n",
+       "      <td>0.365700</td>\n",
+       "      <td>0.474578</td>\n",
+       "      <td>0.356924</td>\n",
+       "      <td>0.533627</td>\n",
+       "      <td>0.563125</td>\n",
+       "      <td>0.492019</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.482809</td>\n",
+       "      <td>0.644194</td>\n",
+       "      <td>0.585338</td>\n",
+       "      <td>0.455767</td>\n",
+       "      <td>0.557355</td>\n",
+       "      <td>0.544081</td>\n",
+       "      <td>0.497412</td>\n",
+       "      <td>0.658139</td>\n",
+       "      <td>0.570022</td>\n",
+       "      <td>0.475322</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FB</th>\n",
+       "      <td>0.632176</td>\n",
+       "      <td>0.457322</td>\n",
+       "      <td>0.436800</td>\n",
+       "      <td>0.483370</td>\n",
+       "      <td>0.471006</td>\n",
+       "      <td>0.324569</td>\n",
+       "      <td>0.472848</td>\n",
+       "      <td>0.559551</td>\n",
+       "      <td>0.346451</td>\n",
+       "      <td>0.354050</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.362557</td>\n",
+       "      <td>0.452998</td>\n",
+       "      <td>0.463954</td>\n",
+       "      <td>0.334978</td>\n",
+       "      <td>0.396961</td>\n",
+       "      <td>0.364097</td>\n",
+       "      <td>0.367797</td>\n",
+       "      <td>0.517254</td>\n",
+       "      <td>0.355863</td>\n",
+       "      <td>0.290893</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>0.835836</td>\n",
+       "      <td>0.646769</td>\n",
+       "      <td>0.543734</td>\n",
+       "      <td>0.605723</td>\n",
+       "      <td>0.543635</td>\n",
+       "      <td>0.485601</td>\n",
+       "      <td>0.524701</td>\n",
+       "      <td>0.689552</td>\n",
+       "      <td>0.499636</td>\n",
+       "      <td>0.499342</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.479977</td>\n",
+       "      <td>0.644817</td>\n",
+       "      <td>0.620536</td>\n",
+       "      <td>0.519689</td>\n",
+       "      <td>0.564042</td>\n",
+       "      <td>0.515009</td>\n",
+       "      <td>0.478763</td>\n",
+       "      <td>0.704062</td>\n",
+       "      <td>0.488388</td>\n",
+       "      <td>0.440207</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>WMT</th>\n",
+       "      <td>0.461816</td>\n",
+       "      <td>0.395912</td>\n",
+       "      <td>0.187875</td>\n",
+       "      <td>0.277849</td>\n",
+       "      <td>0.186634</td>\n",
+       "      <td>0.380353</td>\n",
+       "      <td>0.239978</td>\n",
+       "      <td>0.260476</td>\n",
+       "      <td>0.293014</td>\n",
+       "      <td>0.348438</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.212599</td>\n",
+       "      <td>0.338067</td>\n",
+       "      <td>0.406592</td>\n",
+       "      <td>0.399855</td>\n",
+       "      <td>0.332521</td>\n",
+       "      <td>0.317887</td>\n",
+       "      <td>0.349254</td>\n",
+       "      <td>0.360491</td>\n",
+       "      <td>0.218643</td>\n",
+       "      <td>0.367207</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>VZ</th>\n",
+       "      <td>0.512857</td>\n",
+       "      <td>0.386823</td>\n",
+       "      <td>0.139478</td>\n",
+       "      <td>0.207164</td>\n",
+       "      <td>0.149580</td>\n",
+       "      <td>0.429250</td>\n",
+       "      <td>0.129282</td>\n",
+       "      <td>0.219509</td>\n",
+       "      <td>0.381099</td>\n",
+       "      <td>0.416023</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.335214</td>\n",
+       "      <td>0.391162</td>\n",
+       "      <td>0.414118</td>\n",
+       "      <td>0.479911</td>\n",
+       "      <td>0.382885</td>\n",
+       "      <td>0.384224</td>\n",
+       "      <td>0.349115</td>\n",
+       "      <td>0.411453</td>\n",
+       "      <td>0.306964</td>\n",
+       "      <td>0.484738</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MCD</th>\n",
+       "      <td>-0.032453</td>\n",
+       "      <td>-0.003682</td>\n",
+       "      <td>0.027755</td>\n",
+       "      <td>0.010267</td>\n",
+       "      <td>0.017631</td>\n",
+       "      <td>-0.038825</td>\n",
+       "      <td>-0.016089</td>\n",
+       "      <td>0.010782</td>\n",
+       "      <td>-0.054651</td>\n",
+       "      <td>-0.045105</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.006914</td>\n",
+       "      <td>-0.029351</td>\n",
+       "      <td>-0.044150</td>\n",
+       "      <td>-0.059683</td>\n",
+       "      <td>-0.009430</td>\n",
+       "      <td>-0.030565</td>\n",
+       "      <td>-0.067445</td>\n",
+       "      <td>-0.037118</td>\n",
+       "      <td>-0.026569</td>\n",
+       "      <td>-0.073236</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SBUX</th>\n",
+       "      <td>0.711353</td>\n",
+       "      <td>0.527104</td>\n",
+       "      <td>0.390464</td>\n",
+       "      <td>0.384516</td>\n",
+       "      <td>0.343242</td>\n",
+       "      <td>0.401640</td>\n",
+       "      <td>0.285326</td>\n",
+       "      <td>0.457296</td>\n",
+       "      <td>0.494361</td>\n",
+       "      <td>0.480262</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.498375</td>\n",
+       "      <td>0.589911</td>\n",
+       "      <td>0.521928</td>\n",
+       "      <td>0.435321</td>\n",
+       "      <td>0.498597</td>\n",
+       "      <td>0.495905</td>\n",
+       "      <td>0.417440</td>\n",
+       "      <td>0.614769</td>\n",
+       "      <td>0.521976</td>\n",
+       "      <td>0.428090</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CLX</th>\n",
+       "      <td>0.309705</td>\n",
+       "      <td>0.260473</td>\n",
+       "      <td>0.075674</td>\n",
+       "      <td>0.162212</td>\n",
+       "      <td>0.061895</td>\n",
+       "      <td>0.291219</td>\n",
+       "      <td>0.124540</td>\n",
+       "      <td>0.162881</td>\n",
+       "      <td>0.189859</td>\n",
+       "      <td>0.350655</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.084340</td>\n",
+       "      <td>0.229408</td>\n",
+       "      <td>0.263170</td>\n",
+       "      <td>0.366733</td>\n",
+       "      <td>0.215692</td>\n",
+       "      <td>0.209413</td>\n",
+       "      <td>0.232319</td>\n",
+       "      <td>0.272367</td>\n",
+       "      <td>0.127619</td>\n",
+       "      <td>0.409847</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COST</th>\n",
+       "      <td>0.585711</td>\n",
+       "      <td>0.426380</td>\n",
+       "      <td>0.292254</td>\n",
+       "      <td>0.358869</td>\n",
+       "      <td>0.267241</td>\n",
+       "      <td>0.412793</td>\n",
+       "      <td>0.312532</td>\n",
+       "      <td>0.362922</td>\n",
+       "      <td>0.379336</td>\n",
+       "      <td>0.375531</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.286191</td>\n",
+       "      <td>0.442151</td>\n",
+       "      <td>0.487109</td>\n",
+       "      <td>0.472884</td>\n",
+       "      <td>0.419567</td>\n",
+       "      <td>0.403851</td>\n",
+       "      <td>0.436347</td>\n",
+       "      <td>0.477749</td>\n",
+       "      <td>0.324210</td>\n",
+       "      <td>0.351795</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PSX</th>\n",
+       "      <td>0.678114</td>\n",
+       "      <td>0.469504</td>\n",
+       "      <td>0.352132</td>\n",
+       "      <td>0.337503</td>\n",
+       "      <td>0.324386</td>\n",
+       "      <td>0.398428</td>\n",
+       "      <td>0.208610</td>\n",
+       "      <td>0.364246</td>\n",
+       "      <td>0.575444</td>\n",
+       "      <td>0.366028</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.548150</td>\n",
+       "      <td>0.570340</td>\n",
+       "      <td>0.373861</td>\n",
+       "      <td>0.459719</td>\n",
+       "      <td>0.513094</td>\n",
+       "      <td>0.402171</td>\n",
+       "      <td>0.531834</td>\n",
+       "      <td>0.571292</td>\n",
+       "      <td>0.346682</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BLK</th>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>0.574767</td>\n",
+       "      <td>0.431933</td>\n",
+       "      <td>0.480509</td>\n",
+       "      <td>0.454519</td>\n",
+       "      <td>0.505123</td>\n",
+       "      <td>0.343955</td>\n",
+       "      <td>0.517619</td>\n",
+       "      <td>0.632679</td>\n",
+       "      <td>0.487550</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.548150</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.775532</td>\n",
+       "      <td>0.538297</td>\n",
+       "      <td>0.573321</td>\n",
+       "      <td>0.615239</td>\n",
+       "      <td>0.529992</td>\n",
+       "      <td>0.679991</td>\n",
+       "      <td>0.624727</td>\n",
+       "      <td>0.430124</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TROW</th>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>0.618554</td>\n",
+       "      <td>0.409616</td>\n",
+       "      <td>0.446315</td>\n",
+       "      <td>0.411006</td>\n",
+       "      <td>0.535580</td>\n",
+       "      <td>0.336051</td>\n",
+       "      <td>0.482899</td>\n",
+       "      <td>0.637720</td>\n",
+       "      <td>0.449716</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.570340</td>\n",
+       "      <td>0.775532</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.509898</td>\n",
+       "      <td>0.531681</td>\n",
+       "      <td>0.603428</td>\n",
+       "      <td>0.580435</td>\n",
+       "      <td>0.634510</td>\n",
+       "      <td>0.531371</td>\n",
+       "      <td>0.380660</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>JNJ</th>\n",
+       "      <td>0.643808</td>\n",
+       "      <td>0.499977</td>\n",
+       "      <td>0.242864</td>\n",
+       "      <td>0.321677</td>\n",
+       "      <td>0.281382</td>\n",
+       "      <td>0.603870</td>\n",
+       "      <td>0.233285</td>\n",
+       "      <td>0.350679</td>\n",
+       "      <td>0.463809</td>\n",
+       "      <td>0.491896</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.373861</td>\n",
+       "      <td>0.538297</td>\n",
+       "      <td>0.509898</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.517897</td>\n",
+       "      <td>0.517249</td>\n",
+       "      <td>0.423147</td>\n",
+       "      <td>0.519326</td>\n",
+       "      <td>0.392377</td>\n",
+       "      <td>0.479065</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UNH</th>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>0.462337</td>\n",
+       "      <td>0.378167</td>\n",
+       "      <td>0.409963</td>\n",
+       "      <td>0.322509</td>\n",
+       "      <td>0.505540</td>\n",
+       "      <td>0.337498</td>\n",
+       "      <td>0.426561</td>\n",
+       "      <td>0.515648</td>\n",
+       "      <td>0.469692</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.459719</td>\n",
+       "      <td>0.573321</td>\n",
+       "      <td>0.531681</td>\n",
+       "      <td>0.517897</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.497279</td>\n",
+       "      <td>0.434074</td>\n",
+       "      <td>0.535468</td>\n",
+       "      <td>0.496914</td>\n",
+       "      <td>0.454074</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MMM</th>\n",
+       "      <td>0.705586</td>\n",
+       "      <td>0.493965</td>\n",
+       "      <td>0.319526</td>\n",
+       "      <td>0.428878</td>\n",
+       "      <td>0.369862</td>\n",
+       "      <td>0.474353</td>\n",
+       "      <td>0.268799</td>\n",
+       "      <td>0.380771</td>\n",
+       "      <td>0.612809</td>\n",
+       "      <td>0.375233</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.513094</td>\n",
+       "      <td>0.615239</td>\n",
+       "      <td>0.603428</td>\n",
+       "      <td>0.517249</td>\n",
+       "      <td>0.497279</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.544738</td>\n",
+       "      <td>0.577708</td>\n",
+       "      <td>0.564033</td>\n",
+       "      <td>0.362342</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UPS</th>\n",
+       "      <td>0.633569</td>\n",
+       "      <td>0.487937</td>\n",
+       "      <td>0.333839</td>\n",
+       "      <td>0.394818</td>\n",
+       "      <td>0.350588</td>\n",
+       "      <td>0.426225</td>\n",
+       "      <td>0.302649</td>\n",
+       "      <td>0.360656</td>\n",
+       "      <td>0.492406</td>\n",
+       "      <td>0.361974</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.402171</td>\n",
+       "      <td>0.529992</td>\n",
+       "      <td>0.580435</td>\n",
+       "      <td>0.423147</td>\n",
+       "      <td>0.434074</td>\n",
+       "      <td>0.544738</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.496321</td>\n",
+       "      <td>0.448070</td>\n",
+       "      <td>0.328822</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ACN</th>\n",
+       "      <td>0.808055</td>\n",
+       "      <td>0.591231</td>\n",
+       "      <td>0.459697</td>\n",
+       "      <td>0.482439</td>\n",
+       "      <td>0.443488</td>\n",
+       "      <td>0.477271</td>\n",
+       "      <td>0.378277</td>\n",
+       "      <td>0.573153</td>\n",
+       "      <td>0.585783</td>\n",
+       "      <td>0.540575</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.531834</td>\n",
+       "      <td>0.679991</td>\n",
+       "      <td>0.634510</td>\n",
+       "      <td>0.519326</td>\n",
+       "      <td>0.535468</td>\n",
+       "      <td>0.577708</td>\n",
+       "      <td>0.496321</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.581741</td>\n",
+       "      <td>0.465686</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PPG</th>\n",
+       "      <td>0.698629</td>\n",
+       "      <td>0.465708</td>\n",
+       "      <td>0.371528</td>\n",
+       "      <td>0.381751</td>\n",
+       "      <td>0.386716</td>\n",
+       "      <td>0.394458</td>\n",
+       "      <td>0.236955</td>\n",
+       "      <td>0.397626</td>\n",
+       "      <td>0.581516</td>\n",
+       "      <td>0.405584</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.571292</td>\n",
+       "      <td>0.624727</td>\n",
+       "      <td>0.531371</td>\n",
+       "      <td>0.392377</td>\n",
+       "      <td>0.496914</td>\n",
+       "      <td>0.564033</td>\n",
+       "      <td>0.448070</td>\n",
+       "      <td>0.581741</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.338004</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NEE</th>\n",
+       "      <td>0.562373</td>\n",
+       "      <td>0.397040</td>\n",
+       "      <td>0.277875</td>\n",
+       "      <td>0.273910</td>\n",
+       "      <td>0.163250</td>\n",
+       "      <td>0.411663</td>\n",
+       "      <td>0.150619</td>\n",
+       "      <td>0.297884</td>\n",
+       "      <td>0.422481</td>\n",
+       "      <td>0.637052</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.346682</td>\n",
+       "      <td>0.430124</td>\n",
+       "      <td>0.380660</td>\n",
+       "      <td>0.479065</td>\n",
+       "      <td>0.454074</td>\n",
+       "      <td>0.362342</td>\n",
+       "      <td>0.328822</td>\n",
+       "      <td>0.465686</td>\n",
+       "      <td>0.338004</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>29 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          SP500      ORCL        SQ      NVDA      BABA       PFE      NFLX  \\\n",
+       "SP500  1.000000  0.717214  0.567302  0.619705  0.550555  0.630865  0.477013   \n",
+       "ORCL   0.717214  1.000000  0.386958  0.440505  0.401409  0.489646  0.368666   \n",
+       "SQ     0.567302  0.386958  1.000000  0.497670  0.435255  0.266798  0.406967   \n",
+       "NVDA   0.619705  0.440505  0.497670  1.000000  0.511204  0.302971  0.432834   \n",
+       "BABA   0.550555  0.401409  0.435255  0.511204  1.000000  0.271929  0.424142   \n",
+       "PFE    0.630865  0.489646  0.266798  0.302971  0.271929  1.000000  0.255231   \n",
+       "NFLX   0.477013  0.368666  0.406967  0.432834  0.424142  0.255231  1.000000   \n",
+       "CRM    0.661607  0.519628  0.522806  0.518064  0.459182  0.343271  0.517518   \n",
+       "GD     0.718211  0.491460  0.352706  0.381814  0.351660  0.471287  0.269976   \n",
+       "AMT    0.610404  0.449295  0.308892  0.317262  0.256468  0.426877  0.224412   \n",
+       "HD     0.785353  0.541672  0.450287  0.498425  0.365700  0.474578  0.356924   \n",
+       "FB     0.632176  0.457322  0.436800  0.483370  0.471006  0.324569  0.472848   \n",
+       "MSFT   0.835836  0.646769  0.543734  0.605723  0.543635  0.485601  0.524701   \n",
+       "WMT    0.461816  0.395912  0.187875  0.277849  0.186634  0.380353  0.239978   \n",
+       "VZ     0.512857  0.386823  0.139478  0.207164  0.149580  0.429250  0.129282   \n",
+       "MCD   -0.032453 -0.003682  0.027755  0.010267  0.017631 -0.038825 -0.016089   \n",
+       "SBUX   0.711353  0.527104  0.390464  0.384516  0.343242  0.401640  0.285326   \n",
+       "CLX    0.309705  0.260473  0.075674  0.162212  0.061895  0.291219  0.124540   \n",
+       "COST   0.585711  0.426380  0.292254  0.358869  0.267241  0.412793  0.312532   \n",
+       "PSX    0.678114  0.469504  0.352132  0.337503  0.324386  0.398428  0.208610   \n",
+       "BLK    0.820446  0.574767  0.431933  0.480509  0.454519  0.505123  0.343955   \n",
+       "TROW   0.800011  0.618554  0.409616  0.446315  0.411006  0.535580  0.336051   \n",
+       "JNJ    0.643808  0.499977  0.242864  0.321677  0.281382  0.603870  0.233285   \n",
+       "UNH    0.708231  0.462337  0.378167  0.409963  0.322509  0.505540  0.337498   \n",
+       "MMM    0.705586  0.493965  0.319526  0.428878  0.369862  0.474353  0.268799   \n",
+       "UPS    0.633569  0.487937  0.333839  0.394818  0.350588  0.426225  0.302649   \n",
+       "ACN    0.808055  0.591231  0.459697  0.482439  0.443488  0.477271  0.378277   \n",
+       "PPG    0.698629  0.465708  0.371528  0.381751  0.386716  0.394458  0.236955   \n",
+       "NEE    0.562373  0.397040  0.277875  0.273910  0.163250  0.411663  0.150619   \n",
+       "\n",
+       "            CRM        GD       AMT  ...       PSX       BLK      TROW  \\\n",
+       "SP500  0.661607  0.718211  0.610404  ...  0.678114  0.820446  0.800011   \n",
+       "ORCL   0.519628  0.491460  0.449295  ...  0.469504  0.574767  0.618554   \n",
+       "SQ     0.522806  0.352706  0.308892  ...  0.352132  0.431933  0.409616   \n",
+       "NVDA   0.518064  0.381814  0.317262  ...  0.337503  0.480509  0.446315   \n",
+       "BABA   0.459182  0.351660  0.256468  ...  0.324386  0.454519  0.411006   \n",
+       "PFE    0.343271  0.471287  0.426877  ...  0.398428  0.505123  0.535580   \n",
+       "NFLX   0.517518  0.269976  0.224412  ...  0.208610  0.343955  0.336051   \n",
+       "CRM    1.000000  0.390746  0.385774  ...  0.364246  0.517619  0.482899   \n",
+       "GD     0.390746  1.000000  0.433965  ...  0.575444  0.632679  0.637720   \n",
+       "AMT    0.385774  0.433965  1.000000  ...  0.366028  0.487550  0.449716   \n",
+       "HD     0.533627  0.563125  0.492019  ...  0.482809  0.644194  0.585338   \n",
+       "FB     0.559551  0.346451  0.354050  ...  0.362557  0.452998  0.463954   \n",
+       "MSFT   0.689552  0.499636  0.499342  ...  0.479977  0.644817  0.620536   \n",
+       "WMT    0.260476  0.293014  0.348438  ...  0.212599  0.338067  0.406592   \n",
+       "VZ     0.219509  0.381099  0.416023  ...  0.335214  0.391162  0.414118   \n",
+       "MCD    0.010782 -0.054651 -0.045105  ... -0.006914 -0.029351 -0.044150   \n",
+       "SBUX   0.457296  0.494361  0.480262  ...  0.498375  0.589911  0.521928   \n",
+       "CLX    0.162881  0.189859  0.350655  ...  0.084340  0.229408  0.263170   \n",
+       "COST   0.362922  0.379336  0.375531  ...  0.286191  0.442151  0.487109   \n",
+       "PSX    0.364246  0.575444  0.366028  ...  1.000000  0.548150  0.570340   \n",
+       "BLK    0.517619  0.632679  0.487550  ...  0.548150  1.000000  0.775532   \n",
+       "TROW   0.482899  0.637720  0.449716  ...  0.570340  0.775532  1.000000   \n",
+       "JNJ    0.350679  0.463809  0.491896  ...  0.373861  0.538297  0.509898   \n",
+       "UNH    0.426561  0.515648  0.469692  ...  0.459719  0.573321  0.531681   \n",
+       "MMM    0.380771  0.612809  0.375233  ...  0.513094  0.615239  0.603428   \n",
+       "UPS    0.360656  0.492406  0.361974  ...  0.402171  0.529992  0.580435   \n",
+       "ACN    0.573153  0.585783  0.540575  ...  0.531834  0.679991  0.634510   \n",
+       "PPG    0.397626  0.581516  0.405584  ...  0.571292  0.624727  0.531371   \n",
+       "NEE    0.297884  0.422481  0.637052  ...  0.346682  0.430124  0.380660   \n",
+       "\n",
+       "            JNJ       UNH       MMM       UPS       ACN       PPG       NEE  \n",
+       "SP500  0.643808  0.708231  0.705586  0.633569  0.808055  0.698629  0.562373  \n",
+       "ORCL   0.499977  0.462337  0.493965  0.487937  0.591231  0.465708  0.397040  \n",
+       "SQ     0.242864  0.378167  0.319526  0.333839  0.459697  0.371528  0.277875  \n",
+       "NVDA   0.321677  0.409963  0.428878  0.394818  0.482439  0.381751  0.273910  \n",
+       "BABA   0.281382  0.322509  0.369862  0.350588  0.443488  0.386716  0.163250  \n",
+       "PFE    0.603870  0.505540  0.474353  0.426225  0.477271  0.394458  0.411663  \n",
+       "NFLX   0.233285  0.337498  0.268799  0.302649  0.378277  0.236955  0.150619  \n",
+       "CRM    0.350679  0.426561  0.380771  0.360656  0.573153  0.397626  0.297884  \n",
+       "GD     0.463809  0.515648  0.612809  0.492406  0.585783  0.581516  0.422481  \n",
+       "AMT    0.491896  0.469692  0.375233  0.361974  0.540575  0.405584  0.637052  \n",
+       "HD     0.455767  0.557355  0.544081  0.497412  0.658139  0.570022  0.475322  \n",
+       "FB     0.334978  0.396961  0.364097  0.367797  0.517254  0.355863  0.290893  \n",
+       "MSFT   0.519689  0.564042  0.515009  0.478763  0.704062  0.488388  0.440207  \n",
+       "WMT    0.399855  0.332521  0.317887  0.349254  0.360491  0.218643  0.367207  \n",
+       "VZ     0.479911  0.382885  0.384224  0.349115  0.411453  0.306964  0.484738  \n",
+       "MCD   -0.059683 -0.009430 -0.030565 -0.067445 -0.037118 -0.026569 -0.073236  \n",
+       "SBUX   0.435321  0.498597  0.495905  0.417440  0.614769  0.521976  0.428090  \n",
+       "CLX    0.366733  0.215692  0.209413  0.232319  0.272367  0.127619  0.409847  \n",
+       "COST   0.472884  0.419567  0.403851  0.436347  0.477749  0.324210  0.351795  \n",
+       "PSX    0.373861  0.459719  0.513094  0.402171  0.531834  0.571292  0.346682  \n",
+       "BLK    0.538297  0.573321  0.615239  0.529992  0.679991  0.624727  0.430124  \n",
+       "TROW   0.509898  0.531681  0.603428  0.580435  0.634510  0.531371  0.380660  \n",
+       "JNJ    1.000000  0.517897  0.517249  0.423147  0.519326  0.392377  0.479065  \n",
+       "UNH    0.517897  1.000000  0.497279  0.434074  0.535468  0.496914  0.454074  \n",
+       "MMM    0.517249  0.497279  1.000000  0.544738  0.577708  0.564033  0.362342  \n",
+       "UPS    0.423147  0.434074  0.544738  1.000000  0.496321  0.448070  0.328822  \n",
+       "ACN    0.519326  0.535468  0.577708  0.496321  1.000000  0.581741  0.465686  \n",
+       "PPG    0.392377  0.496914  0.564033  0.448070  0.581741  1.000000  0.338004  \n",
+       "NEE    0.479065  0.454074  0.362342  0.328822  0.465686  0.338004  1.000000  \n",
+       "\n",
+       "[29 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#calculating Correlation of portfolio stocks to the stock market\n",
+    "\n",
+    "correlation_of_portfolio = daily_returns_of_SP500_general_stock_picks.corr()\n",
+    "\n",
+    "correlation_of_portfolio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x1080 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Visualization of the Correlations\n",
+    "\n",
+    "plt.subplots(figsize=(20,15))\n",
+    "sns.heatmap(correlation_of_portfolio);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Creating a Formula that will help us determine which stocks we will pick in our Portfolio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Beta</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Stock</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.976955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>1.573336</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.976955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.925997</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.708603</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           Beta\n",
+       "Stock          \n",
+       "ORCL   0.976955\n",
+       "SQ     1.573336\n",
+       "NVDA   0.976955\n",
+       "BABA   0.925997\n",
+       "PFE    0.708603"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Creating a df to compare beta and correlations\n",
+    "\n",
+    "raw_beta = {\n",
+    "  \"ORCL\": ORCL_beta,\n",
+    "  \"SQ\" : SQ_beta,\n",
+    "  \"NVDA\": ORCL_beta,\n",
+    "  \"BABA\": BABA_beta,\n",
+    "  \"PFE\": PFE_beta,\n",
+    "  \"NFLX\": NFLX_beta,\n",
+    "  \"CRM\": CRM_beta,\n",
+    "  \"GD\": GD_beta,\n",
+    "  \"AMT\": AMT_beta,\n",
+    "  \"HD\": HD_beta,\n",
+    "  \"FB\": FB_beta,\n",
+    "  \"MSFT\": MSFT_beta,\n",
+    "  \"WMT\": WMT_beta,\n",
+    "  \"VZ\": VZ_beta,\n",
+    "  \"MCD\": MCD_beta,\n",
+    "  \"SBUX\": SBUX_beta,\n",
+    "  \"CLX\": CLX_beta,\n",
+    "  \"COST\": COST_beta,\n",
+    "  \"PSX\": PSX_beta,\n",
+    "  \"BLK\": BLK_beta,\n",
+    "  \"TROW\": TROW_beta,\n",
+    "  \"JNJ\": JNJ_beta,\n",
+    "  \"UNH\": UNH_beta,\n",
+    "  \"MMM\": MMM_beta,\n",
+    "  \"UPS\": UPS_beta,\n",
+    "  \"ACN\": ACN_beta,\n",
+    "  \"PPG\": PPG_beta,\n",
+    "  \"NEE\": NEE_beta\n",
+    "}\n",
+    "beta_df = pd.DataFrame(list(raw_beta.items()),columns = ['Stock','Beta']) \n",
+    "\n",
+    "beta_df.set_index('Stock', inplace=True)\n",
+    "\n",
+    "beta_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>SP500</th>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.717214</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>0.567302</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.619705</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.550555</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          SP500\n",
+       "SP500  1.000000\n",
+       "ORCL   0.717214\n",
+       "SQ     0.567302\n",
+       "NVDA   0.619705\n",
+       "BABA   0.550555"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#dropping excess correlations to show only correlation of Portfolio to SP500\n",
+    "\n",
+    "correlation_of_portfolio_only_to_SP500 = correlation_of_portfolio.drop(columns=['ORCL','SQ','NVDA','BABA','PFE','NFLX','CRM','GD','AMT','HD','FB','MSFT','WMT', 'VZ','MCD','SBUX','CLX','COST','PSX','BLK','TROW','JNJ','UNH','MMM','UPS','ACN','PPG','NEE'])\n",
+    "\n",
+    "correlation_of_portfolio_only_to_SP500.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Beta</th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.717214</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>1.573336</td>\n",
+       "      <td>0.567302</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.619705</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.925997</td>\n",
+       "      <td>0.550555</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.708603</td>\n",
+       "      <td>0.630865</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Beta     SP500\n",
+       "ORCL  0.976955  0.717214\n",
+       "SQ    1.573336  0.567302\n",
+       "NVDA  0.976955  0.619705\n",
+       "BABA  0.925997  0.550555\n",
+       "PFE   0.708603  0.630865"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#combining both df's\n",
+    "\n",
+    "correlation_beta_df = pd.concat([beta_df,correlation_of_portfolio_only_to_SP500], axis='columns', join='outer')\n",
+    "\n",
+    "correlation_beta_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#creating our formula to decide how we choose stocks\n",
+    "\n",
+    "correlation_beta_df['Beta/SP500'] = correlation_beta_df['Beta']/correlation_beta_df['SP500']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Beta</th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>Beta/SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>1.362152</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>1.573336</td>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>2.773364</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>1.576484</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.925997</td>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>1.681935</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.708603</td>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>1.123225</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Beta     SP500  Beta/SP500\n",
+       "ORCL  0.976955  0.717214    1.362152\n",
+       "SQ    1.573336  0.567302    2.773364\n",
+       "NVDA  0.976955  0.619705    1.576484\n",
+       "BABA  0.925997  0.550555    1.681935\n",
+       "PFE   0.708603  0.630865    1.123225"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#implementing our formula\n",
+    "\n",
+    "\n",
+    "correlation_beta_df.dropna(inplace=True)\n",
+    "\n",
+    "correlation_beta_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Beta</th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>Beta/SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>MCD</th>\n",
+       "      <td>-0.031713</td>\n",
+       "      <td>-0.032453</td>\n",
+       "      <td>0.977200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>VZ</th>\n",
+       "      <td>0.517081</td>\n",
+       "      <td>0.512857</td>\n",
+       "      <td>1.008236</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>JNJ</th>\n",
+       "      <td>0.663617</td>\n",
+       "      <td>0.643808</td>\n",
+       "      <td>1.030768</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COST</th>\n",
+       "      <td>0.652210</td>\n",
+       "      <td>0.585711</td>\n",
+       "      <td>1.113536</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.708603</td>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>1.123225</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CLX</th>\n",
+       "      <td>0.349327</td>\n",
+       "      <td>0.309705</td>\n",
+       "      <td>1.127936</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>WMT</th>\n",
+       "      <td>0.537768</td>\n",
+       "      <td>0.461816</td>\n",
+       "      <td>1.164464</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NEE</th>\n",
+       "      <td>0.677376</td>\n",
+       "      <td>0.562373</td>\n",
+       "      <td>1.204495</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>GD</th>\n",
+       "      <td>0.916454</td>\n",
+       "      <td>0.718211</td>\n",
+       "      <td>1.276024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MMM</th>\n",
+       "      <td>0.901159</td>\n",
+       "      <td>0.705586</td>\n",
+       "      <td>1.277179</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ACN</th>\n",
+       "      <td>1.057432</td>\n",
+       "      <td>0.808055</td>\n",
+       "      <td>1.308614</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UPS</th>\n",
+       "      <td>0.835932</td>\n",
+       "      <td>0.633569</td>\n",
+       "      <td>1.319401</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HD</th>\n",
+       "      <td>1.044135</td>\n",
+       "      <td>0.785353</td>\n",
+       "      <td>1.329509</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.821152</td>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>1.345260</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>1.362152</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PPG</th>\n",
+       "      <td>0.974695</td>\n",
+       "      <td>0.698629</td>\n",
+       "      <td>1.395153</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SBUX</th>\n",
+       "      <td>1.001966</td>\n",
+       "      <td>0.711353</td>\n",
+       "      <td>1.408537</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>1.199711</td>\n",
+       "      <td>0.835836</td>\n",
+       "      <td>1.435343</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UNH</th>\n",
+       "      <td>1.034679</td>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>1.460935</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TROW</th>\n",
+       "      <td>1.210759</td>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>1.513428</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BLK</th>\n",
+       "      <td>1.244514</td>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>1.516876</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>1.576484</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FB</th>\n",
+       "      <td>1.063249</td>\n",
+       "      <td>0.632176</td>\n",
+       "      <td>1.681887</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.925997</td>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>1.681935</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CRM</th>\n",
+       "      <td>1.174147</td>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>1.774688</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PSX</th>\n",
+       "      <td>1.210977</td>\n",
+       "      <td>0.678114</td>\n",
+       "      <td>1.785802</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NFLX</th>\n",
+       "      <td>1.001225</td>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>2.098947</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>1.573336</td>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>2.773364</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Beta     SP500  Beta/SP500\n",
+       "MCD  -0.031713 -0.032453    0.977200\n",
+       "VZ    0.517081  0.512857    1.008236\n",
+       "JNJ   0.663617  0.643808    1.030768\n",
+       "COST  0.652210  0.585711    1.113536\n",
+       "PFE   0.708603  0.630865    1.123225\n",
+       "CLX   0.349327  0.309705    1.127936\n",
+       "WMT   0.537768  0.461816    1.164464\n",
+       "NEE   0.677376  0.562373    1.204495\n",
+       "GD    0.916454  0.718211    1.276024\n",
+       "MMM   0.901159  0.705586    1.277179\n",
+       "ACN   1.057432  0.808055    1.308614\n",
+       "UPS   0.835932  0.633569    1.319401\n",
+       "HD    1.044135  0.785353    1.329509\n",
+       "AMT   0.821152  0.610404    1.345260\n",
+       "ORCL  0.976955  0.717214    1.362152\n",
+       "PPG   0.974695  0.698629    1.395153\n",
+       "SBUX  1.001966  0.711353    1.408537\n",
+       "MSFT  1.199711  0.835836    1.435343\n",
+       "UNH   1.034679  0.708231    1.460935\n",
+       "TROW  1.210759  0.800011    1.513428\n",
+       "BLK   1.244514  0.820446    1.516876\n",
+       "NVDA  0.976955  0.619705    1.576484\n",
+       "FB    1.063249  0.632176    1.681887\n",
+       "BABA  0.925997  0.550555    1.681935\n",
+       "CRM   1.174147  0.661607    1.774688\n",
+       "PSX   1.210977  0.678114    1.785802\n",
+       "NFLX  1.001225  0.477013    2.098947\n",
+       "SQ    1.573336  0.567302    2.773364"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Reading the data in ascending order\n",
+    "\n",
+    "correlation_beta_df.sort_values('Beta/SP500', ascending=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "From here we decided to use our new formula to pick the stocks with the highest numeric value. We did however take the executive decision to replace 2 stocks PSX with PFE and SBUX with COST. The reason behind this was because we did not believe in the reliability of energy sector and Costco seemed to have better future growth capabilities. Our portfolio consist of the following stocks: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ.\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(F\"From here we decided to use our new formula to pick the stocks with the highest numeric value. We did however take the executive decision to replace 2 stocks PSX with PFE and SBUX with COST. The reason behind this was because we did not believe in the reliability of energy sector and Costco seemed to have better future growth capabilities. Our portfolio consist of the following stocks: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Analyze the S&P500 with our Final Portfolio Positions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.38</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>102.49</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>158.38</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.28</td>\n",
+       "      <td>103.37</td>\n",
+       "      <td>100.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>...</td>\n",
+       "      <td>91.67</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>102.48</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>158.95</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>104.62</td>\n",
+       "      <td>101.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.17</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>102.77</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>158.65</td>\n",
+       "      <td>103.59</td>\n",
+       "      <td>107.84</td>\n",
+       "      <td>105.47</td>\n",
+       "      <td>100.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>...</td>\n",
+       "      <td>93.13</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>102.04</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>157.75</td>\n",
+       "      <td>103.40</td>\n",
+       "      <td>107.35</td>\n",
+       "      <td>105.49</td>\n",
+       "      <td>99.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.77</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>101.96</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>157.63</td>\n",
+       "      <td>103.49</td>\n",
+       "      <td>107.10</td>\n",
+       "      <td>106.46</td>\n",
+       "      <td>98.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>138.210007</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>140.919998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>...</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>138.550003</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>138.429993</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>...</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>138.220001</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>...</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  SP500       ORCL          SQ        NVDA        BABA  \\\n",
+       "2015-11-19  2081.239990  36.108597   13.070000   30.458263   77.870003   \n",
+       "2015-11-20  2089.169922  36.404728   12.850000   30.722525   79.949997   \n",
+       "2015-11-23  2086.590088  36.219639   12.120000   30.262524   81.309998   \n",
+       "2015-11-24  2089.139893  36.515770   12.020000   30.507206   80.860001   \n",
+       "2015-11-25  2088.870117  36.330700   11.900000   30.468054   81.709999   \n",
+       "...                 ...        ...         ...         ...         ...   \n",
+       "2020-09-25  3298.459961  59.799999  157.720001  514.950012  271.089996   \n",
+       "2020-09-28  3351.600098  59.580002  160.759995  521.400024  276.010010   \n",
+       "2020-09-29  3335.469971  59.470001  164.809998  529.030029  276.929993   \n",
+       "2020-09-30  3363.000000  59.700001  162.550003  541.219971  293.980011   \n",
+       "2020-10-01  3380.800049  59.680000  168.490005  544.580017  290.049988   \n",
+       "\n",
+       "                  PFE        NFLX         CRM          GD     AMT  ...    PSX  \\\n",
+       "2015-11-19  27.049994  120.220001   80.639999  130.626297   99.63  ...  92.38   \n",
+       "2015-11-20  26.957846  123.839996   80.989998  130.896194  100.49  ...  91.67   \n",
+       "2015-11-23  26.245783  125.029999   80.779999  130.077530   99.94  ...  92.17   \n",
+       "2015-11-24  26.781923  123.309998   80.389999  130.923172   99.26  ...  93.13   \n",
+       "2015-11-25  27.535873  124.160004   80.410004  130.608292   99.09  ...  92.77   \n",
+       "...               ...         ...         ...         ...     ...  ...    ...   \n",
+       "2020-09-25  36.049999  482.880005  242.740005  138.210007  239.81  ...  52.88   \n",
+       "2020-09-28  36.389999  490.649994  246.669998  140.919998  240.00  ...  53.98   \n",
+       "2020-09-29  36.169998  493.480011  247.449997  138.550003  240.12  ...  52.19   \n",
+       "2020-09-30  36.700001  500.029999  251.320007  138.429993  241.73  ...  51.84   \n",
+       "2020-10-01  36.369999  527.510010  253.449997  138.220001  242.15  ...  50.28   \n",
+       "\n",
+       "               BLK    TROW     JNJ     UNH     MMM     UPS     ACN     PPG  \\\n",
+       "2015-11-19  359.09   76.38  102.49  110.63  158.38  104.10  107.28  103.37   \n",
+       "2015-11-20  362.46   76.37  102.48  112.97  158.95  104.10  107.97  104.62   \n",
+       "2015-11-23  363.25   76.15  102.77  112.16  158.65  103.59  107.84  105.47   \n",
+       "2015-11-24  356.81   75.62  102.04  113.19  157.75  103.40  107.35  105.49   \n",
+       "2015-11-25  360.62   76.01  101.96  114.41  157.63  103.49  107.10  106.46   \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...   \n",
+       "2020-09-25  547.81  125.22  145.66  302.50  160.27  166.12  214.63  120.25   \n",
+       "2020-09-28  558.65  128.55  147.11  303.23  161.66  168.90  222.78  121.74   \n",
+       "2020-09-29  554.80  127.49  147.06  304.15  159.81  168.50  224.08  120.33   \n",
+       "2020-09-30  563.55  128.22  148.88  311.77  160.18  166.63  225.99  122.08   \n",
+       "2020-10-01  567.91  128.04  147.32  313.07  158.79  167.65  225.18  121.78   \n",
+       "\n",
+       "               NEE  \n",
+       "2015-11-19  100.99  \n",
+       "2015-11-20  101.02  \n",
+       "2015-11-23  100.49  \n",
+       "2015-11-24   99.41  \n",
+       "2015-11-25   98.88  \n",
+       "...            ...  \n",
+       "2020-09-25  281.82  \n",
+       "2020-09-28  284.14  \n",
+       "2020-09-29  283.12  \n",
+       "2020-09-30  277.56  \n",
+       "2020-10-01  282.76  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    " # Set the file paths for the CSVs \n",
+    "Combined_portfolio =  Path(\"../CSVs/combined_close_data_SP500_group_portfolio.csv\")\n",
+    "\n",
+    "\n",
+    "# Read the daily closing prices of MSFT, set the `date` as a datetime index\n",
+    "combined_portfolio_df = pd.read_csv(Combined_portfolio, index_col=0, parse_dates=True, infer_datetime_format=True)\n",
+    "\n",
+    "combined_portfolio_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.002066</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.007686</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>-0.000098</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.003599</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.006432</td>\n",
+       "      <td>0.012092</td>\n",
+       "      <td>0.000297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.006254</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.005454</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>0.002830</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>-0.001887</td>\n",
+       "      <td>-0.004899</td>\n",
+       "      <td>-0.001204</td>\n",
+       "      <td>0.008125</td>\n",
+       "      <td>-0.005246</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>0.006501</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.010416</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>-0.007103</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>-0.005673</td>\n",
+       "      <td>-0.001834</td>\n",
+       "      <td>-0.004544</td>\n",
+       "      <td>0.000190</td>\n",
+       "      <td>-0.010747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.002405</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.003866</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>-0.000784</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>-0.000761</td>\n",
+       "      <td>0.000870</td>\n",
+       "      <td>-0.002329</td>\n",
+       "      <td>0.009195</td>\n",
+       "      <td>-0.005331</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.002617</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.000108</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>0.004021</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>0.002284</td>\n",
+       "      <td>0.006667</td>\n",
+       "      <td>0.003361</td>\n",
+       "      <td>-0.002348</td>\n",
+       "      <td>0.004956</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500      ORCL        SQ      NVDA      BABA       PFE  \\\n",
+       "2015-11-20  0.003810  0.008201 -0.016832  0.008676  0.026711 -0.003407   \n",
+       "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973  0.017011 -0.026414   \n",
+       "2015-11-24  0.001222  0.008176 -0.008251  0.008085 -0.005534  0.020428   \n",
+       "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283  0.010512  0.028151   \n",
+       "2015-11-27  0.000594 -0.002038  0.012605  0.008352 -0.004039 -0.002434   \n",
+       "\n",
+       "                NFLX       CRM        GD       AMT  ...       PSX       BLK  \\\n",
+       "2015-11-20  0.030111  0.004340  0.002066  0.008632  ... -0.007686  0.009385   \n",
+       "2015-11-23  0.009609 -0.002593 -0.006254 -0.005473  ...  0.005454  0.002180   \n",
+       "2015-11-24 -0.013757 -0.004828  0.006501 -0.006804  ...  0.010416 -0.017729   \n",
+       "2015-11-25  0.006893  0.000249 -0.002405 -0.001713  ... -0.003866  0.010678   \n",
+       "2015-11-27  0.010309 -0.005472  0.002617  0.005954  ... -0.000108 -0.006184   \n",
+       "\n",
+       "                TROW       JNJ       UNH       MMM       UPS       ACN  \\\n",
+       "2015-11-20 -0.000131 -0.000098  0.021152  0.003599  0.000000  0.006432   \n",
+       "2015-11-23 -0.002881  0.002830 -0.007170 -0.001887 -0.004899 -0.001204   \n",
+       "2015-11-24 -0.006960 -0.007103  0.009183 -0.005673 -0.001834 -0.004544   \n",
+       "2015-11-25  0.005157 -0.000784  0.010778 -0.000761  0.000870 -0.002329   \n",
+       "2015-11-27 -0.000789  0.004021 -0.000612  0.002284  0.006667  0.003361   \n",
+       "\n",
+       "                 PPG       NEE  \n",
+       "2015-11-20  0.012092  0.000297  \n",
+       "2015-11-23  0.008125 -0.005246  \n",
+       "2015-11-24  0.000190 -0.010747  \n",
+       "2015-11-25  0.009195 -0.005331  \n",
+       "2015-11-27 -0.002348  0.004956  \n",
+       "\n",
+       "[5 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "daily_returns = combined_portfolio_df.pct_change()\n",
+    "daily_returns.head()\n",
+    "\n",
+    "daily_returns.dropna(inplace=True)\n",
+    "\n",
+    "daily_returns.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>PPG</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>0.009976</td>\n",
+       "      <td>0.004635</td>\n",
+       "      <td>0.001658</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.012092</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>-0.003448</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.002146</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>0.008125</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>-0.011314</td>\n",
+       "      <td>0.001107</td>\n",
+       "      <td>-0.007709</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>0.000190</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>-0.003121</td>\n",
+       "      <td>-0.010323</td>\n",
+       "      <td>0.001233</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>0.009195</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>0.000379</td>\n",
+       "      <td>0.004470</td>\n",
+       "      <td>0.007328</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>-0.002348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.015977</td>\n",
+       "      <td>0.008432</td>\n",
+       "      <td>0.035520</td>\n",
+       "      <td>0.042578</td>\n",
+       "      <td>0.005042</td>\n",
+       "      <td>0.008110</td>\n",
+       "      <td>0.020715</td>\n",
+       "      <td>0.021848</td>\n",
+       "      <td>0.015370</td>\n",
+       "      <td>0.021200</td>\n",
+       "      <td>0.022787</td>\n",
+       "      <td>-0.012738</td>\n",
+       "      <td>0.023848</td>\n",
+       "      <td>0.014502</td>\n",
+       "      <td>0.033623</td>\n",
+       "      <td>0.010929</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.016111</td>\n",
+       "      <td>-0.003679</td>\n",
+       "      <td>0.019275</td>\n",
+       "      <td>0.012526</td>\n",
+       "      <td>0.018149</td>\n",
+       "      <td>0.009431</td>\n",
+       "      <td>0.016091</td>\n",
+       "      <td>0.016190</td>\n",
+       "      <td>0.000792</td>\n",
+       "      <td>0.007849</td>\n",
+       "      <td>0.007795</td>\n",
+       "      <td>0.020550</td>\n",
+       "      <td>0.019788</td>\n",
+       "      <td>0.026593</td>\n",
+       "      <td>0.002413</td>\n",
+       "      <td>0.012391</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.004813</td>\n",
+       "      <td>-0.001846</td>\n",
+       "      <td>0.025193</td>\n",
+       "      <td>0.014634</td>\n",
+       "      <td>0.003333</td>\n",
+       "      <td>-0.006046</td>\n",
+       "      <td>0.005768</td>\n",
+       "      <td>0.003162</td>\n",
+       "      <td>0.000500</td>\n",
+       "      <td>0.019352</td>\n",
+       "      <td>-0.010409</td>\n",
+       "      <td>0.007208</td>\n",
+       "      <td>-0.006892</td>\n",
+       "      <td>-0.008246</td>\n",
+       "      <td>0.003034</td>\n",
+       "      <td>-0.011582</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.008254</td>\n",
+       "      <td>0.003867</td>\n",
+       "      <td>-0.013713</td>\n",
+       "      <td>0.023042</td>\n",
+       "      <td>0.061568</td>\n",
+       "      <td>0.014653</td>\n",
+       "      <td>0.013273</td>\n",
+       "      <td>0.015640</td>\n",
+       "      <td>0.006705</td>\n",
+       "      <td>0.000420</td>\n",
+       "      <td>0.014812</td>\n",
+       "      <td>0.008122</td>\n",
+       "      <td>0.015771</td>\n",
+       "      <td>0.005726</td>\n",
+       "      <td>0.025053</td>\n",
+       "      <td>0.014543</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.005293</td>\n",
+       "      <td>-0.000335</td>\n",
+       "      <td>0.036543</td>\n",
+       "      <td>0.006208</td>\n",
+       "      <td>-0.013368</td>\n",
+       "      <td>-0.008992</td>\n",
+       "      <td>0.054957</td>\n",
+       "      <td>0.008475</td>\n",
+       "      <td>0.001737</td>\n",
+       "      <td>0.018060</td>\n",
+       "      <td>0.010127</td>\n",
+       "      <td>0.009746</td>\n",
+       "      <td>0.007737</td>\n",
+       "      <td>-0.001404</td>\n",
+       "      <td>0.004170</td>\n",
+       "      <td>-0.002457</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500      ORCL        SQ      NVDA      BABA       PFE  \\\n",
+       "2015-11-20  0.003810  0.008201 -0.016832  0.008676  0.026711 -0.003407   \n",
+       "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973  0.017011 -0.026414   \n",
+       "2015-11-24  0.001222  0.008176 -0.008251  0.008085 -0.005534  0.020428   \n",
+       "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283  0.010512  0.028151   \n",
+       "2015-11-27  0.000594 -0.002038  0.012605  0.008352 -0.004039 -0.002434   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.015977  0.008432  0.035520  0.042578  0.005042  0.008110   \n",
+       "2020-09-28  0.016111 -0.003679  0.019275  0.012526  0.018149  0.009431   \n",
+       "2020-09-29 -0.004813 -0.001846  0.025193  0.014634  0.003333 -0.006046   \n",
+       "2020-09-30  0.008254  0.003867 -0.013713  0.023042  0.061568  0.014653   \n",
+       "2020-10-01  0.005293 -0.000335  0.036543  0.006208 -0.013368 -0.008992   \n",
+       "\n",
+       "                NFLX       CRM       AMT        FB      MSFT      COST  \\\n",
+       "2015-11-20  0.030111  0.004340  0.008632  0.009976  0.004635  0.001658   \n",
+       "2015-11-23  0.009609 -0.002593 -0.005473 -0.003448  0.000000  0.002146   \n",
+       "2015-11-24 -0.013757 -0.004828 -0.006804 -0.011314  0.001107 -0.007709   \n",
+       "2015-11-25  0.006893  0.000249 -0.001713 -0.003121 -0.010323  0.001233   \n",
+       "2015-11-27  0.010309 -0.005472  0.005954  0.000379  0.004470  0.007328   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.020715  0.021848  0.015370  0.021200  0.022787 -0.012738   \n",
+       "2020-09-28  0.016091  0.016190  0.000792  0.007849  0.007795  0.020550   \n",
+       "2020-09-29  0.005768  0.003162  0.000500  0.019352 -0.010409  0.007208   \n",
+       "2020-09-30  0.013273  0.015640  0.006705  0.000420  0.014812  0.008122   \n",
+       "2020-10-01  0.054957  0.008475  0.001737  0.018060  0.010127  0.009746   \n",
+       "\n",
+       "                 BLK      TROW       UNH       PPG  \n",
+       "2015-11-20  0.009385 -0.000131  0.021152  0.012092  \n",
+       "2015-11-23  0.002180 -0.002881 -0.007170  0.008125  \n",
+       "2015-11-24 -0.017729 -0.006960  0.009183  0.000190  \n",
+       "2015-11-25  0.010678  0.005157  0.010778  0.009195  \n",
+       "2015-11-27 -0.006184 -0.000789 -0.000612 -0.002348  \n",
+       "...              ...       ...       ...       ...  \n",
+       "2020-09-25  0.023848  0.014502  0.033623  0.010929  \n",
+       "2020-09-28  0.019788  0.026593  0.002413  0.012391  \n",
+       "2020-09-29 -0.006892 -0.008246  0.003034 -0.011582  \n",
+       "2020-09-30  0.015771  0.005726  0.025053  0.014543  \n",
+       "2020-10-01  0.007737 -0.001404  0.004170 -0.002457  \n",
+       "\n",
+       "[1224 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Drop stocks that are not being used in our portfolio\n",
+    "#Keep the following: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ\n",
+    "\n",
+    "Portfolio_returns= daily_returns.drop(columns=['GD','HD','WMT', 'VZ','MCD','SBUX','CLX','PSX','JNJ','MMM','UPS','ACN','NEE'])\n",
+    "\n",
+    "Core_returns= Portfolio_returns\n",
+    "\n",
+    "Core_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>PPG</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>SP500</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>0.632176</td>\n",
+       "      <td>0.835836</td>\n",
+       "      <td>0.585711</td>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>0.698629</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.386958</td>\n",
+       "      <td>0.440505</td>\n",
+       "      <td>0.401409</td>\n",
+       "      <td>0.489646</td>\n",
+       "      <td>0.368666</td>\n",
+       "      <td>0.519628</td>\n",
+       "      <td>0.449295</td>\n",
+       "      <td>0.457322</td>\n",
+       "      <td>0.646769</td>\n",
+       "      <td>0.426380</td>\n",
+       "      <td>0.574767</td>\n",
+       "      <td>0.618554</td>\n",
+       "      <td>0.462337</td>\n",
+       "      <td>0.465708</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>0.386958</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.497670</td>\n",
+       "      <td>0.435255</td>\n",
+       "      <td>0.266798</td>\n",
+       "      <td>0.406967</td>\n",
+       "      <td>0.522806</td>\n",
+       "      <td>0.308892</td>\n",
+       "      <td>0.436800</td>\n",
+       "      <td>0.543734</td>\n",
+       "      <td>0.292254</td>\n",
+       "      <td>0.431933</td>\n",
+       "      <td>0.409616</td>\n",
+       "      <td>0.378167</td>\n",
+       "      <td>0.371528</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>0.440505</td>\n",
+       "      <td>0.497670</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.511204</td>\n",
+       "      <td>0.302971</td>\n",
+       "      <td>0.432834</td>\n",
+       "      <td>0.518064</td>\n",
+       "      <td>0.317262</td>\n",
+       "      <td>0.483370</td>\n",
+       "      <td>0.605723</td>\n",
+       "      <td>0.358869</td>\n",
+       "      <td>0.480509</td>\n",
+       "      <td>0.446315</td>\n",
+       "      <td>0.409963</td>\n",
+       "      <td>0.381751</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>0.401409</td>\n",
+       "      <td>0.435255</td>\n",
+       "      <td>0.511204</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.271929</td>\n",
+       "      <td>0.424142</td>\n",
+       "      <td>0.459182</td>\n",
+       "      <td>0.256468</td>\n",
+       "      <td>0.471006</td>\n",
+       "      <td>0.543635</td>\n",
+       "      <td>0.267241</td>\n",
+       "      <td>0.454519</td>\n",
+       "      <td>0.411006</td>\n",
+       "      <td>0.322509</td>\n",
+       "      <td>0.386716</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>0.489646</td>\n",
+       "      <td>0.266798</td>\n",
+       "      <td>0.302971</td>\n",
+       "      <td>0.271929</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.255231</td>\n",
+       "      <td>0.343271</td>\n",
+       "      <td>0.426877</td>\n",
+       "      <td>0.324569</td>\n",
+       "      <td>0.485601</td>\n",
+       "      <td>0.412793</td>\n",
+       "      <td>0.505123</td>\n",
+       "      <td>0.535580</td>\n",
+       "      <td>0.505540</td>\n",
+       "      <td>0.394458</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NFLX</th>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>0.368666</td>\n",
+       "      <td>0.406967</td>\n",
+       "      <td>0.432834</td>\n",
+       "      <td>0.424142</td>\n",
+       "      <td>0.255231</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.517518</td>\n",
+       "      <td>0.224412</td>\n",
+       "      <td>0.472848</td>\n",
+       "      <td>0.524701</td>\n",
+       "      <td>0.312532</td>\n",
+       "      <td>0.343955</td>\n",
+       "      <td>0.336051</td>\n",
+       "      <td>0.337498</td>\n",
+       "      <td>0.236955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CRM</th>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>0.519628</td>\n",
+       "      <td>0.522806</td>\n",
+       "      <td>0.518064</td>\n",
+       "      <td>0.459182</td>\n",
+       "      <td>0.343271</td>\n",
+       "      <td>0.517518</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.385774</td>\n",
+       "      <td>0.559551</td>\n",
+       "      <td>0.689552</td>\n",
+       "      <td>0.362922</td>\n",
+       "      <td>0.517619</td>\n",
+       "      <td>0.482899</td>\n",
+       "      <td>0.426561</td>\n",
+       "      <td>0.397626</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>0.449295</td>\n",
+       "      <td>0.308892</td>\n",
+       "      <td>0.317262</td>\n",
+       "      <td>0.256468</td>\n",
+       "      <td>0.426877</td>\n",
+       "      <td>0.224412</td>\n",
+       "      <td>0.385774</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.354050</td>\n",
+       "      <td>0.499342</td>\n",
+       "      <td>0.375531</td>\n",
+       "      <td>0.487550</td>\n",
+       "      <td>0.449716</td>\n",
+       "      <td>0.469692</td>\n",
+       "      <td>0.405584</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FB</th>\n",
+       "      <td>0.632176</td>\n",
+       "      <td>0.457322</td>\n",
+       "      <td>0.436800</td>\n",
+       "      <td>0.483370</td>\n",
+       "      <td>0.471006</td>\n",
+       "      <td>0.324569</td>\n",
+       "      <td>0.472848</td>\n",
+       "      <td>0.559551</td>\n",
+       "      <td>0.354050</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.629071</td>\n",
+       "      <td>0.333109</td>\n",
+       "      <td>0.452998</td>\n",
+       "      <td>0.463954</td>\n",
+       "      <td>0.396961</td>\n",
+       "      <td>0.355863</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>0.835836</td>\n",
+       "      <td>0.646769</td>\n",
+       "      <td>0.543734</td>\n",
+       "      <td>0.605723</td>\n",
+       "      <td>0.543635</td>\n",
+       "      <td>0.485601</td>\n",
+       "      <td>0.524701</td>\n",
+       "      <td>0.689552</td>\n",
+       "      <td>0.499342</td>\n",
+       "      <td>0.629071</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.534779</td>\n",
+       "      <td>0.644817</td>\n",
+       "      <td>0.620536</td>\n",
+       "      <td>0.564042</td>\n",
+       "      <td>0.488388</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COST</th>\n",
+       "      <td>0.585711</td>\n",
+       "      <td>0.426380</td>\n",
+       "      <td>0.292254</td>\n",
+       "      <td>0.358869</td>\n",
+       "      <td>0.267241</td>\n",
+       "      <td>0.412793</td>\n",
+       "      <td>0.312532</td>\n",
+       "      <td>0.362922</td>\n",
+       "      <td>0.375531</td>\n",
+       "      <td>0.333109</td>\n",
+       "      <td>0.534779</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.442151</td>\n",
+       "      <td>0.487109</td>\n",
+       "      <td>0.419567</td>\n",
+       "      <td>0.324210</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BLK</th>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>0.574767</td>\n",
+       "      <td>0.431933</td>\n",
+       "      <td>0.480509</td>\n",
+       "      <td>0.454519</td>\n",
+       "      <td>0.505123</td>\n",
+       "      <td>0.343955</td>\n",
+       "      <td>0.517619</td>\n",
+       "      <td>0.487550</td>\n",
+       "      <td>0.452998</td>\n",
+       "      <td>0.644817</td>\n",
+       "      <td>0.442151</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.775532</td>\n",
+       "      <td>0.573321</td>\n",
+       "      <td>0.624727</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TROW</th>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>0.618554</td>\n",
+       "      <td>0.409616</td>\n",
+       "      <td>0.446315</td>\n",
+       "      <td>0.411006</td>\n",
+       "      <td>0.535580</td>\n",
+       "      <td>0.336051</td>\n",
+       "      <td>0.482899</td>\n",
+       "      <td>0.449716</td>\n",
+       "      <td>0.463954</td>\n",
+       "      <td>0.620536</td>\n",
+       "      <td>0.487109</td>\n",
+       "      <td>0.775532</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.531681</td>\n",
+       "      <td>0.531371</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UNH</th>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>0.462337</td>\n",
+       "      <td>0.378167</td>\n",
+       "      <td>0.409963</td>\n",
+       "      <td>0.322509</td>\n",
+       "      <td>0.505540</td>\n",
+       "      <td>0.337498</td>\n",
+       "      <td>0.426561</td>\n",
+       "      <td>0.469692</td>\n",
+       "      <td>0.396961</td>\n",
+       "      <td>0.564042</td>\n",
+       "      <td>0.419567</td>\n",
+       "      <td>0.573321</td>\n",
+       "      <td>0.531681</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.496914</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PPG</th>\n",
+       "      <td>0.698629</td>\n",
+       "      <td>0.465708</td>\n",
+       "      <td>0.371528</td>\n",
+       "      <td>0.381751</td>\n",
+       "      <td>0.386716</td>\n",
+       "      <td>0.394458</td>\n",
+       "      <td>0.236955</td>\n",
+       "      <td>0.397626</td>\n",
+       "      <td>0.405584</td>\n",
+       "      <td>0.355863</td>\n",
+       "      <td>0.488388</td>\n",
+       "      <td>0.324210</td>\n",
+       "      <td>0.624727</td>\n",
+       "      <td>0.531371</td>\n",
+       "      <td>0.496914</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          SP500      ORCL        SQ      NVDA      BABA       PFE      NFLX  \\\n",
+       "SP500  1.000000  0.717214  0.567302  0.619705  0.550555  0.630865  0.477013   \n",
+       "ORCL   0.717214  1.000000  0.386958  0.440505  0.401409  0.489646  0.368666   \n",
+       "SQ     0.567302  0.386958  1.000000  0.497670  0.435255  0.266798  0.406967   \n",
+       "NVDA   0.619705  0.440505  0.497670  1.000000  0.511204  0.302971  0.432834   \n",
+       "BABA   0.550555  0.401409  0.435255  0.511204  1.000000  0.271929  0.424142   \n",
+       "PFE    0.630865  0.489646  0.266798  0.302971  0.271929  1.000000  0.255231   \n",
+       "NFLX   0.477013  0.368666  0.406967  0.432834  0.424142  0.255231  1.000000   \n",
+       "CRM    0.661607  0.519628  0.522806  0.518064  0.459182  0.343271  0.517518   \n",
+       "AMT    0.610404  0.449295  0.308892  0.317262  0.256468  0.426877  0.224412   \n",
+       "FB     0.632176  0.457322  0.436800  0.483370  0.471006  0.324569  0.472848   \n",
+       "MSFT   0.835836  0.646769  0.543734  0.605723  0.543635  0.485601  0.524701   \n",
+       "COST   0.585711  0.426380  0.292254  0.358869  0.267241  0.412793  0.312532   \n",
+       "BLK    0.820446  0.574767  0.431933  0.480509  0.454519  0.505123  0.343955   \n",
+       "TROW   0.800011  0.618554  0.409616  0.446315  0.411006  0.535580  0.336051   \n",
+       "UNH    0.708231  0.462337  0.378167  0.409963  0.322509  0.505540  0.337498   \n",
+       "PPG    0.698629  0.465708  0.371528  0.381751  0.386716  0.394458  0.236955   \n",
+       "\n",
+       "            CRM       AMT        FB      MSFT      COST       BLK      TROW  \\\n",
+       "SP500  0.661607  0.610404  0.632176  0.835836  0.585711  0.820446  0.800011   \n",
+       "ORCL   0.519628  0.449295  0.457322  0.646769  0.426380  0.574767  0.618554   \n",
+       "SQ     0.522806  0.308892  0.436800  0.543734  0.292254  0.431933  0.409616   \n",
+       "NVDA   0.518064  0.317262  0.483370  0.605723  0.358869  0.480509  0.446315   \n",
+       "BABA   0.459182  0.256468  0.471006  0.543635  0.267241  0.454519  0.411006   \n",
+       "PFE    0.343271  0.426877  0.324569  0.485601  0.412793  0.505123  0.535580   \n",
+       "NFLX   0.517518  0.224412  0.472848  0.524701  0.312532  0.343955  0.336051   \n",
+       "CRM    1.000000  0.385774  0.559551  0.689552  0.362922  0.517619  0.482899   \n",
+       "AMT    0.385774  1.000000  0.354050  0.499342  0.375531  0.487550  0.449716   \n",
+       "FB     0.559551  0.354050  1.000000  0.629071  0.333109  0.452998  0.463954   \n",
+       "MSFT   0.689552  0.499342  0.629071  1.000000  0.534779  0.644817  0.620536   \n",
+       "COST   0.362922  0.375531  0.333109  0.534779  1.000000  0.442151  0.487109   \n",
+       "BLK    0.517619  0.487550  0.452998  0.644817  0.442151  1.000000  0.775532   \n",
+       "TROW   0.482899  0.449716  0.463954  0.620536  0.487109  0.775532  1.000000   \n",
+       "UNH    0.426561  0.469692  0.396961  0.564042  0.419567  0.573321  0.531681   \n",
+       "PPG    0.397626  0.405584  0.355863  0.488388  0.324210  0.624727  0.531371   \n",
+       "\n",
+       "            UNH       PPG  \n",
+       "SP500  0.708231  0.698629  \n",
+       "ORCL   0.462337  0.465708  \n",
+       "SQ     0.378167  0.371528  \n",
+       "NVDA   0.409963  0.381751  \n",
+       "BABA   0.322509  0.386716  \n",
+       "PFE    0.505540  0.394458  \n",
+       "NFLX   0.337498  0.236955  \n",
+       "CRM    0.426561  0.397626  \n",
+       "AMT    0.469692  0.405584  \n",
+       "FB     0.396961  0.355863  \n",
+       "MSFT   0.564042  0.488388  \n",
+       "COST   0.419567  0.324210  \n",
+       "BLK    0.573321  0.624727  \n",
+       "TROW   0.531681  0.531371  \n",
+       "UNH    1.000000  0.496914  \n",
+       "PPG    0.496914  1.000000  "
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "correlation_of_final_positions= Core_returns.corr()\n",
+    "correlation_of_final_positions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x1080 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Visualization of the Correlations\n",
+    "\n",
+    "plt.subplots(figsize=(20,15))\n",
+    "sns.heatmap(correlation_of_final_positions);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2015-11-20    0.006532\n",
+       "2015-11-23   -0.003925\n",
+       "2015-11-24   -0.000940\n",
+       "2015-11-25    0.002003\n",
+       "2015-11-27    0.001257\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Use the `dot` function to multiply the weights by each stock's daily return to get the portfolio daily return\n",
+    "weights = [0.40,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,]\n",
+    "core_portfolio_returns = Core_returns.dot(weights)\n",
+    "core_portfolio_returns.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    " # plot the daily portfolio returns\n",
+    "core_portfolio_returns.plot(figsize=(20,10), title=\"Daily Portfolio return\"); "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2015-11-20    0.006532\n",
+       "2015-11-23    0.002581\n",
+       "2015-11-24    0.001639\n",
+       "2015-11-25    0.003645\n",
+       "2015-11-27    0.004906\n",
+       "                ...   \n",
+       "2020-09-25    1.474158\n",
+       "2020-09-28    1.508525\n",
+       "2020-09-29    1.507425\n",
+       "2020-09-30    1.536714\n",
+       "2020-10-01    1.555398\n",
+       "Length: 1224, dtype: float64"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Calculating Cumulative Product\n",
+    "core_cumulative_returns = (1 + core_portfolio_returns).cumprod() - 1\n",
+    "core_cumulative_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "core_cumulative_returns.plot(figsize=(20,10), title=\"Cumulative Portfolio return\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.015977</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.016111</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.004813</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.008254</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.005293</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500\n",
+       "2015-11-20  0.003810\n",
+       "2015-11-23 -0.001235\n",
+       "2015-11-24  0.001222\n",
+       "2015-11-25 -0.000129\n",
+       "2015-11-27  0.000594\n",
+       "...              ...\n",
+       "2020-09-25  0.015977\n",
+       "2020-09-28  0.016111\n",
+       "2020-09-29 -0.004813\n",
+       "2020-09-30  0.008254\n",
+       "2020-10-01  0.005293\n",
+       "\n",
+       "[1224 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#SP500 daily returns\n",
+    "\n",
+    "SP500_daily_returns= Core_returns.drop(columns=['AMT', 'ORCL', 'PPG', 'COST', 'MSFT', 'UNH', 'TROW', 'BLK', 'NVDA', 'FB', 'BABA', 'CRM', 'PFE', 'NFLX', 'SQ'])\n",
+    "\n",
+    "SP500_daily_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>0.002571</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.003796</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>0.003666</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.004262</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.584853</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.610386</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>0.602636</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.615864</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.624416</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500\n",
+       "2015-11-20  0.003810\n",
+       "2015-11-23  0.002571\n",
+       "2015-11-24  0.003796\n",
+       "2015-11-25  0.003666\n",
+       "2015-11-27  0.004262\n",
+       "...              ...\n",
+       "2020-09-25  0.584853\n",
+       "2020-09-28  0.610386\n",
+       "2020-09-29  0.602636\n",
+       "2020-09-30  0.615864\n",
+       "2020-10-01  0.624416\n",
+       "\n",
+       "[1224 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Calculating Cumulative Product for SP500\n",
+    "Sp500_cumulative_returns = (1 + SP500_daily_returns).cumprod() - 1\n",
+    "Sp500_cumulative_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "SP500_daily_returns.plot(figsize=(20,10), title=\"Daily Returns of SP500\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "Sp500_cumulative_returns.plot(figsize=(20,10), title=\"Cumulative Returns of SP500\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(core_portfolio_returns)\n",
+    "plt.plot(SP500_daily_returns)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(core_cumulative_returns)\n",
+    "plt.plot(Sp500_cumulative_returns)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.013021605893950699\n",
+      "0.0008521218194888947\n",
+      "SP500    0.01216\n",
+      "dtype: float64\n",
+      "SP500    0.000471\n",
+      "dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "#calculate Std Dev of Portfolio\n",
+    "\n",
+    "print(core_portfolio_returns.std())\n",
+    "print(core_portfolio_returns.mean())\n",
+    "\n",
+    "print(SP500_daily_returns.std())\n",
+    "print(SP500_daily_returns.mean())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.0388130801041227"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sharpe_ratios = (core_portfolio_returns.mean() * 252) / (core_portfolio_returns.std() * np.sqrt(252))\n",
+    "sharpe_ratios"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>PPG</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>106.26</td>\n",
+       "      <td>53.94</td>\n",
+       "      <td>162.83</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>103.37</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>107.32</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>163.10</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>104.62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>106.95</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>163.45</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>105.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>105.74</td>\n",
+       "      <td>54.25</td>\n",
+       "      <td>162.19</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>105.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>105.41</td>\n",
+       "      <td>53.69</td>\n",
+       "      <td>162.39</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>106.46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>254.82</td>\n",
+       "      <td>207.82</td>\n",
+       "      <td>342.58</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>120.25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>256.82</td>\n",
+       "      <td>209.44</td>\n",
+       "      <td>349.62</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>121.74</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>261.79</td>\n",
+       "      <td>207.26</td>\n",
+       "      <td>352.14</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>120.33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>261.90</td>\n",
+       "      <td>210.33</td>\n",
+       "      <td>355.00</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>122.08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>266.63</td>\n",
+       "      <td>212.46</td>\n",
+       "      <td>358.46</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>121.78</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  SP500       ORCL          SQ        NVDA        BABA  \\\n",
+       "2015-11-19  2081.239990  36.108597   13.070000   30.458263   77.870003   \n",
+       "2015-11-20  2089.169922  36.404728   12.850000   30.722525   79.949997   \n",
+       "2015-11-23  2086.590088  36.219639   12.120000   30.262524   81.309998   \n",
+       "2015-11-24  2089.139893  36.515770   12.020000   30.507206   80.860001   \n",
+       "2015-11-25  2088.870117  36.330700   11.900000   30.468054   81.709999   \n",
+       "...                 ...        ...         ...         ...         ...   \n",
+       "2020-09-25  3298.459961  59.799999  157.720001  514.950012  271.089996   \n",
+       "2020-09-28  3351.600098  59.580002  160.759995  521.400024  276.010010   \n",
+       "2020-09-29  3335.469971  59.470001  164.809998  529.030029  276.929993   \n",
+       "2020-09-30  3363.000000  59.700001  162.550003  541.219971  293.980011   \n",
+       "2020-10-01  3380.800049  59.680000  168.490005  544.580017  290.049988   \n",
+       "\n",
+       "                  PFE        NFLX         CRM     AMT      FB    MSFT    COST  \\\n",
+       "2015-11-19  27.049994  120.220001   80.639999   99.63  106.26   53.94  162.83   \n",
+       "2015-11-20  26.957846  123.839996   80.989998  100.49  107.32   54.19  163.10   \n",
+       "2015-11-23  26.245783  125.029999   80.779999   99.94  106.95   54.19  163.45   \n",
+       "2015-11-24  26.781923  123.309998   80.389999   99.26  105.74   54.25  162.19   \n",
+       "2015-11-25  27.535873  124.160004   80.410004   99.09  105.41   53.69  162.39   \n",
+       "...               ...         ...         ...     ...     ...     ...     ...   \n",
+       "2020-09-25  36.049999  482.880005  242.740005  239.81  254.82  207.82  342.58   \n",
+       "2020-09-28  36.389999  490.649994  246.669998  240.00  256.82  209.44  349.62   \n",
+       "2020-09-29  36.169998  493.480011  247.449997  240.12  261.79  207.26  352.14   \n",
+       "2020-09-30  36.700001  500.029999  251.320007  241.73  261.90  210.33  355.00   \n",
+       "2020-10-01  36.369999  527.510010  253.449997  242.15  266.63  212.46  358.46   \n",
+       "\n",
+       "               BLK    TROW     UNH     PPG  \n",
+       "2015-11-19  359.09   76.38  110.63  103.37  \n",
+       "2015-11-20  362.46   76.37  112.97  104.62  \n",
+       "2015-11-23  363.25   76.15  112.16  105.47  \n",
+       "2015-11-24  356.81   75.62  113.19  105.49  \n",
+       "2015-11-25  360.62   76.01  114.41  106.46  \n",
+       "...            ...     ...     ...     ...  \n",
+       "2020-09-25  547.81  125.22  302.50  120.25  \n",
+       "2020-09-28  558.65  128.55  303.23  121.74  \n",
+       "2020-09-29  554.80  127.49  304.15  120.33  \n",
+       "2020-09-30  563.55  128.22  311.77  122.08  \n",
+       "2020-10-01  567.91  128.04  313.07  121.78  \n",
+       "\n",
+       "[1225 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "portfolio_5yrs = combined_portfolio_df.drop(columns=['MCD', 'VZ', 'JNJ', 'CLX', 'WMT', 'NEE', 'GD', 'MMM', 'ACN', 'UPS', 'HD', 'SBUX', 'PSX'])\n",
+    "portfolio_5yrs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "portfolio_5yrs.plot(title='Daily Returns of each individual stock', figsize=(20,10));"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 2160x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "portfolio_5yrs_daily = portfolio_5yrs.pct_change()\n",
+    "portfolio_5yrs_1 = (1 + portfolio_5yrs_daily).cumprod() - 1\n",
+    "portfolio_5yrs_1.plot(figsize=(30,10), title='Cumulative Returns of Each Stock in our Portfolio');"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Predict the Direction of the Portfolio compared to the S&P500 Using Monte Carlo Simulation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Monte Carlo Simulation of the Portfolio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load .env enviroment variables\n",
+    "from dotenv import load_dotenv\n",
+    "load_dotenv()\n",
+    "\n",
+    "# Set Alpaca API key and secret\n",
+    "alpaca_api_key = os.getenv(\"ALPACA_API_KEY\")\n",
+    "alpaca_secret_key = os.getenv(\"ALPACA_SECRET_KEY\")\n",
+    "\n",
+    "api = tradeapi.REST(\n",
+    "    alpaca_api_key,\n",
+    "    alpaca_secret_key,\n",
+    "    api_version = \"v2\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set timeframe to '1D'\n",
+    "timeframe = \"1D\"\n",
+    "\n",
+    "# Set start and end datetimes between now and 3 years ago.\n",
+    "start_date = pd.Timestamp(\"2015-11-19\", tz=\"America/New_York\").isoformat()\n",
+    "end_date = pd.Timestamp(\"2020-10-01\", tz=\"America/New_York\").isoformat()\n",
+    "\n",
+    "# Set the ticker information\n",
+    "tickers = ['SPY','AMT','ORCL','PPG','COST','MSFT','UNH','TROW','BLK','NVDA','FB','BABA','CRM','PFE','NFLX','SQ']\n",
+    "\n",
+    "# Get 5 years of past data of portfolios\n",
+    "df_ticker = api.get_barset(\n",
+    "    tickers,\n",
+    "    timeframe,\n",
+    "    start=start_date,\n",
+    "    end=end_date\n",
+    ").df\n",
+    "\n",
+    "df_ticker.index = df_ticker.index.date\n",
+    "df_ticker.head()\n",
+    "df_ticker.to_csv('df_ticker.csv') "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Configuring a Monte Carlo simulation to forecast five years cumulative returns\n",
+    "MC_fiveyear = MCSimulation(\n",
+    "    portfolio_data = df_ticker,\n",
+    "    weights = [0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.40,0.04,0.04,0.04],\n",
+    "    num_simulation = 500,\n",
+    "    num_trading_days = 252*5\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"6\" halign=\"left\">AMT</th>\n",
+       "      <th colspan=\"4\" halign=\"left\">BABA</th>\n",
+       "      <th>...</th>\n",
+       "      <th colspan=\"4\" halign=\"left\">TROW</th>\n",
+       "      <th colspan=\"6\" halign=\"left\">UNH</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>open</th>\n",
+       "      <th>high</th>\n",
+       "      <th>low</th>\n",
+       "      <th>close</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>daily_return</th>\n",
+       "      <th>open</th>\n",
+       "      <th>high</th>\n",
+       "      <th>low</th>\n",
+       "      <th>close</th>\n",
+       "      <th>...</th>\n",
+       "      <th>low</th>\n",
+       "      <th>close</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>daily_return</th>\n",
+       "      <th>open</th>\n",
+       "      <th>high</th>\n",
+       "      <th>low</th>\n",
+       "      <th>close</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>daily_return</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>99.87</td>\n",
+       "      <td>100.26</td>\n",
+       "      <td>99.22</td>\n",
+       "      <td>99.62</td>\n",
+       "      <td>1223026.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>78.06</td>\n",
+       "      <td>79.150</td>\n",
+       "      <td>77.403</td>\n",
+       "      <td>77.910</td>\n",
+       "      <td>...</td>\n",
+       "      <td>76.0100</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>521700</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>109.74</td>\n",
+       "      <td>113.71</td>\n",
+       "      <td>109.61</td>\n",
+       "      <td>110.61</td>\n",
+       "      <td>13240076.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>100.20</td>\n",
+       "      <td>100.87</td>\n",
+       "      <td>99.53</td>\n",
+       "      <td>100.47</td>\n",
+       "      <td>1023837.0</td>\n",
+       "      <td>0.008532</td>\n",
+       "      <td>78.44</td>\n",
+       "      <td>80.785</td>\n",
+       "      <td>78.400</td>\n",
+       "      <td>79.965</td>\n",
+       "      <td>...</td>\n",
+       "      <td>75.9100</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>671459</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>111.01</td>\n",
+       "      <td>114.44</td>\n",
+       "      <td>110.60</td>\n",
+       "      <td>113.00</td>\n",
+       "      <td>5609101.0</td>\n",
+       "      <td>0.021607</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>100.49</td>\n",
+       "      <td>100.67</td>\n",
+       "      <td>99.45</td>\n",
+       "      <td>99.93</td>\n",
+       "      <td>755145.0</td>\n",
+       "      <td>-0.005375</td>\n",
+       "      <td>80.45</td>\n",
+       "      <td>82.190</td>\n",
+       "      <td>79.970</td>\n",
+       "      <td>81.310</td>\n",
+       "      <td>...</td>\n",
+       "      <td>76.0200</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>425575</td>\n",
+       "      <td>-0.003011</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>114.49</td>\n",
+       "      <td>112.10</td>\n",
+       "      <td>112.15</td>\n",
+       "      <td>3006888.0</td>\n",
+       "      <td>-0.007522</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>99.28</td>\n",
+       "      <td>99.45</td>\n",
+       "      <td>98.32</td>\n",
+       "      <td>99.27</td>\n",
+       "      <td>1054663.0</td>\n",
+       "      <td>-0.006605</td>\n",
+       "      <td>80.85</td>\n",
+       "      <td>81.110</td>\n",
+       "      <td>79.270</td>\n",
+       "      <td>80.790</td>\n",
+       "      <td>...</td>\n",
+       "      <td>74.9701</td>\n",
+       "      <td>75.63</td>\n",
+       "      <td>593463</td>\n",
+       "      <td>-0.006829</td>\n",
+       "      <td>111.70</td>\n",
+       "      <td>113.45</td>\n",
+       "      <td>111.06</td>\n",
+       "      <td>113.23</td>\n",
+       "      <td>2363542.0</td>\n",
+       "      <td>0.009630</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>99.15</td>\n",
+       "      <td>99.60</td>\n",
+       "      <td>98.90</td>\n",
+       "      <td>99.07</td>\n",
+       "      <td>622603.0</td>\n",
+       "      <td>-0.002015</td>\n",
+       "      <td>80.91</td>\n",
+       "      <td>82.675</td>\n",
+       "      <td>80.820</td>\n",
+       "      <td>81.630</td>\n",
+       "      <td>...</td>\n",
+       "      <td>75.3400</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>631376</td>\n",
+       "      <td>0.005024</td>\n",
+       "      <td>113.47</td>\n",
+       "      <td>115.05</td>\n",
+       "      <td>113.00</td>\n",
+       "      <td>114.42</td>\n",
+       "      <td>2408146.0</td>\n",
+       "      <td>0.010510</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 96 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               AMT                                                  BABA  \\\n",
+       "              open    high    low   close     volume daily_return   open   \n",
+       "2015-11-19   99.87  100.26  99.22   99.62  1223026.0          NaN  78.06   \n",
+       "2015-11-20  100.20  100.87  99.53  100.47  1023837.0     0.008532  78.44   \n",
+       "2015-11-23  100.49  100.67  99.45   99.93   755145.0    -0.005375  80.45   \n",
+       "2015-11-24   99.28   99.45  98.32   99.27  1054663.0    -0.006605  80.85   \n",
+       "2015-11-25   99.15   99.60  98.90   99.07   622603.0    -0.002015  80.91   \n",
+       "\n",
+       "                                    ...     TROW                              \\\n",
+       "              high     low   close  ...      low  close  volume daily_return   \n",
+       "2015-11-19  79.150  77.403  77.910  ...  76.0100  76.38  521700          NaN   \n",
+       "2015-11-20  80.785  78.400  79.965  ...  75.9100  76.38  671459     0.000000   \n",
+       "2015-11-23  82.190  79.970  81.310  ...  76.0200  76.15  425575    -0.003011   \n",
+       "2015-11-24  81.110  79.270  80.790  ...  74.9701  75.63  593463    -0.006829   \n",
+       "2015-11-25  82.675  80.820  81.630  ...  75.3400  76.01  631376     0.005024   \n",
+       "\n",
+       "               UNH                                                   \n",
+       "              open    high     low   close      volume daily_return  \n",
+       "2015-11-19  109.74  113.71  109.61  110.61  13240076.0          NaN  \n",
+       "2015-11-20  111.01  114.44  110.60  113.00   5609101.0     0.021607  \n",
+       "2015-11-23  112.97  114.49  112.10  112.15   3006888.0    -0.007522  \n",
+       "2015-11-24  111.70  113.45  111.06  113.23   2363542.0     0.009630  \n",
+       "2015-11-25  113.47  115.05  113.00  114.42   2408146.0     0.010510  \n",
+       "\n",
+       "[5 rows x 96 columns]"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Printing the simulation input data\n",
+    "MC_fiveyear.portfolio_data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running Monte Carlo simulation number 0.\n",
+      "Running Monte Carlo simulation number 10.\n",
+      "Running Monte Carlo simulation number 20.\n",
+      "Running Monte Carlo simulation number 30.\n",
+      "Running Monte Carlo simulation number 40.\n",
+      "Running Monte Carlo simulation number 50.\n",
+      "Running Monte Carlo simulation number 60.\n",
+      "Running Monte Carlo simulation number 70.\n",
+      "Running Monte Carlo simulation number 80.\n",
+      "Running Monte Carlo simulation number 90.\n",
+      "Running Monte Carlo simulation number 100.\n",
+      "Running Monte Carlo simulation number 110.\n",
+      "Running Monte Carlo simulation number 120.\n",
+      "Running Monte Carlo simulation number 130.\n",
+      "Running Monte Carlo simulation number 140.\n",
+      "Running Monte Carlo simulation number 150.\n",
+      "Running Monte Carlo simulation number 160.\n",
+      "Running Monte Carlo simulation number 170.\n",
+      "Running Monte Carlo simulation number 180.\n",
+      "Running Monte Carlo simulation number 190.\n",
+      "Running Monte Carlo simulation number 200.\n",
+      "Running Monte Carlo simulation number 210.\n",
+      "Running Monte Carlo simulation number 220.\n",
+      "Running Monte Carlo simulation number 230.\n",
+      "Running Monte Carlo simulation number 240.\n",
+      "Running Monte Carlo simulation number 250.\n",
+      "Running Monte Carlo simulation number 260.\n",
+      "Running Monte Carlo simulation number 270.\n",
+      "Running Monte Carlo simulation number 280.\n",
+      "Running Monte Carlo simulation number 290.\n",
+      "Running Monte Carlo simulation number 300.\n",
+      "Running Monte Carlo simulation number 310.\n",
+      "Running Monte Carlo simulation number 320.\n",
+      "Running Monte Carlo simulation number 330.\n",
+      "Running Monte Carlo simulation number 340.\n",
+      "Running Monte Carlo simulation number 350.\n",
+      "Running Monte Carlo simulation number 360.\n",
+      "Running Monte Carlo simulation number 370.\n",
+      "Running Monte Carlo simulation number 380.\n",
+      "Running Monte Carlo simulation number 390.\n",
+      "Running Monte Carlo simulation number 400.\n",
+      "Running Monte Carlo simulation number 410.\n",
+      "Running Monte Carlo simulation number 420.\n",
+      "Running Monte Carlo simulation number 430.\n",
+      "Running Monte Carlo simulation number 440.\n",
+      "Running Monte Carlo simulation number 450.\n",
+      "Running Monte Carlo simulation number 460.\n",
+      "Running Monte Carlo simulation number 470.\n",
+      "Running Monte Carlo simulation number 480.\n",
+      "Running Monte Carlo simulation number 490.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <th>4</th>\n",
+       "      <th>5</th>\n",
+       "      <th>6</th>\n",
+       "      <th>7</th>\n",
+       "      <th>8</th>\n",
+       "      <th>9</th>\n",
+       "      <th>...</th>\n",
+       "      <th>490</th>\n",
+       "      <th>491</th>\n",
+       "      <th>492</th>\n",
+       "      <th>493</th>\n",
+       "      <th>494</th>\n",
+       "      <th>495</th>\n",
+       "      <th>496</th>\n",
+       "      <th>497</th>\n",
+       "      <th>498</th>\n",
+       "      <th>499</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.988906</td>\n",
+       "      <td>0.992738</td>\n",
+       "      <td>1.004556</td>\n",
+       "      <td>0.999826</td>\n",
+       "      <td>1.019771</td>\n",
+       "      <td>1.007745</td>\n",
+       "      <td>1.007251</td>\n",
+       "      <td>0.998771</td>\n",
+       "      <td>1.004968</td>\n",
+       "      <td>1.000143</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.999099</td>\n",
+       "      <td>1.002478</td>\n",
+       "      <td>0.995256</td>\n",
+       "      <td>1.003035</td>\n",
+       "      <td>0.999229</td>\n",
+       "      <td>1.002819</td>\n",
+       "      <td>0.997936</td>\n",
+       "      <td>1.000725</td>\n",
+       "      <td>1.004905</td>\n",
+       "      <td>1.009358</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.000231</td>\n",
+       "      <td>0.983574</td>\n",
+       "      <td>1.007855</td>\n",
+       "      <td>0.992816</td>\n",
+       "      <td>1.021925</td>\n",
+       "      <td>1.011343</td>\n",
+       "      <td>1.012067</td>\n",
+       "      <td>0.990642</td>\n",
+       "      <td>1.003769</td>\n",
+       "      <td>1.006738</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.987214</td>\n",
+       "      <td>0.998806</td>\n",
+       "      <td>0.986071</td>\n",
+       "      <td>1.003211</td>\n",
+       "      <td>1.006305</td>\n",
+       "      <td>1.008104</td>\n",
+       "      <td>1.001064</td>\n",
+       "      <td>1.010572</td>\n",
+       "      <td>1.001237</td>\n",
+       "      <td>1.002946</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.010592</td>\n",
+       "      <td>0.977863</td>\n",
+       "      <td>1.009138</td>\n",
+       "      <td>0.990491</td>\n",
+       "      <td>1.025458</td>\n",
+       "      <td>1.010544</td>\n",
+       "      <td>1.008247</td>\n",
+       "      <td>0.983712</td>\n",
+       "      <td>1.013359</td>\n",
+       "      <td>1.004604</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.987479</td>\n",
+       "      <td>1.002671</td>\n",
+       "      <td>0.980681</td>\n",
+       "      <td>1.003311</td>\n",
+       "      <td>1.003199</td>\n",
+       "      <td>1.011846</td>\n",
+       "      <td>0.996115</td>\n",
+       "      <td>1.008727</td>\n",
+       "      <td>1.000527</td>\n",
+       "      <td>1.006174</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.005319</td>\n",
+       "      <td>0.980648</td>\n",
+       "      <td>1.010839</td>\n",
+       "      <td>0.977525</td>\n",
+       "      <td>1.029364</td>\n",
+       "      <td>1.006141</td>\n",
+       "      <td>1.010913</td>\n",
+       "      <td>0.974858</td>\n",
+       "      <td>1.008486</td>\n",
+       "      <td>1.018001</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.988055</td>\n",
+       "      <td>1.001119</td>\n",
+       "      <td>0.972495</td>\n",
+       "      <td>1.016748</td>\n",
+       "      <td>1.006018</td>\n",
+       "      <td>1.017986</td>\n",
+       "      <td>0.998785</td>\n",
+       "      <td>0.997503</td>\n",
+       "      <td>1.009362</td>\n",
+       "      <td>1.006961</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1256</th>\n",
+       "      <td>2.681510</td>\n",
+       "      <td>2.714074</td>\n",
+       "      <td>3.129739</td>\n",
+       "      <td>2.122219</td>\n",
+       "      <td>2.211689</td>\n",
+       "      <td>3.108551</td>\n",
+       "      <td>2.366765</td>\n",
+       "      <td>2.301400</td>\n",
+       "      <td>3.123605</td>\n",
+       "      <td>2.943667</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.845321</td>\n",
+       "      <td>2.521428</td>\n",
+       "      <td>2.972285</td>\n",
+       "      <td>1.826912</td>\n",
+       "      <td>2.237883</td>\n",
+       "      <td>2.767765</td>\n",
+       "      <td>3.514696</td>\n",
+       "      <td>2.809148</td>\n",
+       "      <td>2.941521</td>\n",
+       "      <td>2.422336</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1257</th>\n",
+       "      <td>2.665012</td>\n",
+       "      <td>2.701744</td>\n",
+       "      <td>3.128599</td>\n",
+       "      <td>2.123213</td>\n",
+       "      <td>2.219305</td>\n",
+       "      <td>3.114594</td>\n",
+       "      <td>2.361819</td>\n",
+       "      <td>2.298613</td>\n",
+       "      <td>3.133656</td>\n",
+       "      <td>2.939636</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.860250</td>\n",
+       "      <td>2.529545</td>\n",
+       "      <td>2.950719</td>\n",
+       "      <td>1.819020</td>\n",
+       "      <td>2.245103</td>\n",
+       "      <td>2.786420</td>\n",
+       "      <td>3.526299</td>\n",
+       "      <td>2.812569</td>\n",
+       "      <td>2.947462</td>\n",
+       "      <td>2.421209</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1258</th>\n",
+       "      <td>2.651200</td>\n",
+       "      <td>2.710310</td>\n",
+       "      <td>3.150072</td>\n",
+       "      <td>2.121996</td>\n",
+       "      <td>2.215572</td>\n",
+       "      <td>3.138387</td>\n",
+       "      <td>2.374203</td>\n",
+       "      <td>2.287730</td>\n",
+       "      <td>3.157144</td>\n",
+       "      <td>2.943312</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.845241</td>\n",
+       "      <td>2.543793</td>\n",
+       "      <td>2.960243</td>\n",
+       "      <td>1.791609</td>\n",
+       "      <td>2.261302</td>\n",
+       "      <td>2.782278</td>\n",
+       "      <td>3.539779</td>\n",
+       "      <td>2.814054</td>\n",
+       "      <td>2.964892</td>\n",
+       "      <td>2.422563</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1259</th>\n",
+       "      <td>2.636045</td>\n",
+       "      <td>2.707250</td>\n",
+       "      <td>3.200067</td>\n",
+       "      <td>2.132133</td>\n",
+       "      <td>2.214408</td>\n",
+       "      <td>3.120123</td>\n",
+       "      <td>2.385360</td>\n",
+       "      <td>2.304294</td>\n",
+       "      <td>3.170685</td>\n",
+       "      <td>2.928730</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.846437</td>\n",
+       "      <td>2.534774</td>\n",
+       "      <td>2.936721</td>\n",
+       "      <td>1.801300</td>\n",
+       "      <td>2.280655</td>\n",
+       "      <td>2.779005</td>\n",
+       "      <td>3.584346</td>\n",
+       "      <td>2.814123</td>\n",
+       "      <td>2.979713</td>\n",
+       "      <td>2.419751</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1260</th>\n",
+       "      <td>2.639582</td>\n",
+       "      <td>2.721021</td>\n",
+       "      <td>3.183625</td>\n",
+       "      <td>2.138284</td>\n",
+       "      <td>2.234573</td>\n",
+       "      <td>3.130881</td>\n",
+       "      <td>2.357290</td>\n",
+       "      <td>2.289600</td>\n",
+       "      <td>3.186898</td>\n",
+       "      <td>2.952471</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.839032</td>\n",
+       "      <td>2.536185</td>\n",
+       "      <td>2.942237</td>\n",
+       "      <td>1.813642</td>\n",
+       "      <td>2.286542</td>\n",
+       "      <td>2.786899</td>\n",
+       "      <td>3.544287</td>\n",
+       "      <td>2.820473</td>\n",
+       "      <td>3.005625</td>\n",
+       "      <td>2.424375</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1261 rows × 500 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           0         1         2         3         4         5         6    \\\n",
+       "0     1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000   \n",
+       "1     0.988906  0.992738  1.004556  0.999826  1.019771  1.007745  1.007251   \n",
+       "2     1.000231  0.983574  1.007855  0.992816  1.021925  1.011343  1.012067   \n",
+       "3     1.010592  0.977863  1.009138  0.990491  1.025458  1.010544  1.008247   \n",
+       "4     1.005319  0.980648  1.010839  0.977525  1.029364  1.006141  1.010913   \n",
+       "...        ...       ...       ...       ...       ...       ...       ...   \n",
+       "1256  2.681510  2.714074  3.129739  2.122219  2.211689  3.108551  2.366765   \n",
+       "1257  2.665012  2.701744  3.128599  2.123213  2.219305  3.114594  2.361819   \n",
+       "1258  2.651200  2.710310  3.150072  2.121996  2.215572  3.138387  2.374203   \n",
+       "1259  2.636045  2.707250  3.200067  2.132133  2.214408  3.120123  2.385360   \n",
+       "1260  2.639582  2.721021  3.183625  2.138284  2.234573  3.130881  2.357290   \n",
+       "\n",
+       "           7         8         9    ...       490       491       492  \\\n",
+       "0     1.000000  1.000000  1.000000  ...  1.000000  1.000000  1.000000   \n",
+       "1     0.998771  1.004968  1.000143  ...  0.999099  1.002478  0.995256   \n",
+       "2     0.990642  1.003769  1.006738  ...  0.987214  0.998806  0.986071   \n",
+       "3     0.983712  1.013359  1.004604  ...  0.987479  1.002671  0.980681   \n",
+       "4     0.974858  1.008486  1.018001  ...  0.988055  1.001119  0.972495   \n",
+       "...        ...       ...       ...  ...       ...       ...       ...   \n",
+       "1256  2.301400  3.123605  2.943667  ...  2.845321  2.521428  2.972285   \n",
+       "1257  2.298613  3.133656  2.939636  ...  2.860250  2.529545  2.950719   \n",
+       "1258  2.287730  3.157144  2.943312  ...  2.845241  2.543793  2.960243   \n",
+       "1259  2.304294  3.170685  2.928730  ...  2.846437  2.534774  2.936721   \n",
+       "1260  2.289600  3.186898  2.952471  ...  2.839032  2.536185  2.942237   \n",
+       "\n",
+       "           493       494       495       496       497       498       499  \n",
+       "0     1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  \n",
+       "1     1.003035  0.999229  1.002819  0.997936  1.000725  1.004905  1.009358  \n",
+       "2     1.003211  1.006305  1.008104  1.001064  1.010572  1.001237  1.002946  \n",
+       "3     1.003311  1.003199  1.011846  0.996115  1.008727  1.000527  1.006174  \n",
+       "4     1.016748  1.006018  1.017986  0.998785  0.997503  1.009362  1.006961  \n",
+       "...        ...       ...       ...       ...       ...       ...       ...  \n",
+       "1256  1.826912  2.237883  2.767765  3.514696  2.809148  2.941521  2.422336  \n",
+       "1257  1.819020  2.245103  2.786420  3.526299  2.812569  2.947462  2.421209  \n",
+       "1258  1.791609  2.261302  2.782278  3.539779  2.814054  2.964892  2.422563  \n",
+       "1259  1.801300  2.280655  2.779005  3.584346  2.814123  2.979713  2.419751  \n",
+       "1260  1.813642  2.286542  2.786899  3.544287  2.820473  3.005625  2.424375  \n",
+       "\n",
+       "[1261 rows x 500 columns]"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Running a Monte Carlo simulation to forecast five years cumulative returns\n",
+    "MC_fiveyear.calc_cumulative_return()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot simulation outcomes\n",
+    "line_plot = MC_fiveyear.plot_simulation()\n",
+    "\n",
+    "# Save the plot for future usage\n",
+    "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_simulation2.png\", bbox_inches=\"tight\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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IFzTMAo7Il/62Kn8w8NGI2LfVfDMzW7fUfUPX8cDcxpUr+ZLmiaR7drVyBMv/47+t4cOHx5gxYwYqxsFz113p7w6134fUbGjyd2RA3XTTTQ9GRE//JctRd5IawYr/hd5Lm8t48/9ATQBObDP/BNK9yhg9ejSzZ88e2EgHw957p7/XXjuYUZiVy9+RASXpnv5LlaXuc1Kt7njQbnzxYOA3+V5PKy8UcVZEjIuIcT09Q+pAwMzMVlHdSaqXFW9pNJJ0S41WJtHBUJ+Zma076k5Ss4Cx+bZDG5IS0YzmQvn2G3uRfivKzMwMqPmcVEQsk3Qi6TdQhgHTImKOpMl5/tRc9FDg6nwfLDMzM6D+CyeIiJnke8BVpk1ten0O+YaNZmZmDb7jhJmZFctJyszMiuUkZWZmxXKSMjOzYtV+4YQNvjFTrhi0dc8/7cBBW7eZDX1OUlarwUqQTo5mawcP95mZWbGcpMzMrFhOUmZmViwnKTMzK5aTlJmZFctJyszMiuUkZWZmxXKSMjOzYjlJmZlZsZykzMysWE5SZmZWLCcpMzMrlpOUmZkVy0nKzMyK5SRlZmbFcpIyM7Ni1Z6kJE2QdJekuZKmtCmzt6RbJM2RdF3dMZmZ2dBQ6y/zShoGnAnsB/QCsyTNiIjbK2W2AL4LTIiIv0p6cZ0xmZnZ0FF3T2o8MDci5kXEUmA6MLGpzJHAJRHxV4CIeKDmmMzMbIioO0mNAO6tvO7N06q2B14g6VpJN0k6plVFkk6QNFvS7IULF9YUrpmZlaTuJKUW06Lp9frAq4EDgTcDn5W0/UoLRZwVEeMiYlxPT8/AR2pmZsWp9ZwUqec0qvJ6JLCgRZkHI+Jx4HFJ1wO7AHfXHJuZmRWu7p7ULGCspG0kbQhMAmY0lfkp8K+S1pe0CbAHcEfNcZmZ2RBQa08qIpZJOhG4ChgGTIuIOZIm5/lTI+IOST8HbgOeBc6OiD/WGZeZmQ0NdQ/3EREzgZlN06Y2vf4a8LW6YzEzs6HFd5wwM7NiOUmZmVmxnKTMzKxYTlJmZlYsJykzMytW7Vf3mQ2GMVOuGLR1zz/twEFbt9naxj0pMzMrlpOUmZkVy0nKzMyK5SRlZmbFcpIyM7NiOUmZmVmxnKTMzKxYTlJmZlYsJykzMyuWk5SZmRXLScrMzIrlJGVmZsVykjIzs2I5SZmZWbGcpMzMrFhOUmZmVqzak5SkCZLukjRX0pQW8/eW9IikW/Lj1LpjMjOzoaHWX+aVNAw4E9gP6AVmSZoREbc3Ff1VRBxUZyxmZjb01N2TGg/MjYh5EbEUmA5MrHmdZma2lqg7SY0A7q287s3Tmr1W0q2SrpS0U6uKJJ0gabak2QsXLqwjVjMzK0zdSUotpkXT65uBrSNiF+A7wGWtKoqIsyJiXESM6+npGeAwzcysRHUnqV5gVOX1SGBBtUBEPBoRS/LzmcAGkobXHJeZmQ0BdSepWcBYSdtI2hCYBMyoFpC0pSTl5+NzTItqjsvMzIaAWq/ui4hlkk4ErgKGAdMiYo6kyXn+VOAw4P2SlgFPApMionlI0MzM1kG1Jil4bghvZtO0qZXnZwBn1B2HmZkNPb7jhJmZFctJyszMiuUkZWZmxXKSMjOzYjlJmZlZsZykzMysWE5SZmZWLCcpMzMrlpOUmZkVy0nKzMyK5SRlZmbFcpIyM7NiOUmZmVmxnKTMzKxYTlJmZlYsJykzMyuWk5SZmRWr4yQl6ZV1BmJmZtasm57UVEk3SvqApC1qi8jMzCzrOElFxOuAo4BRwGxJF0jar7bIzMxsndfVOamI+BPwGeAUYC/g25LulPTWOoIzM7N1WzfnpHaW9E3gDmBf4OCIeEV+/s2a4jMzs3VYNz2pM4CbgV0i4oMRcTNARCwg9a5akjRB0l2S5kqa0ke53SU9I+mwLmIyM7O12PpdlD0AeDIingGQtB6wUUQ8ERHntVpA0jDgTGA/oBeYJWlGRNzeotzpwFWr8B7MzGwt1U1P6hfAxpXXm+RpfRkPzI2IeRGxFJgOTGxR7kPAxcADXcRjZmZruW6S1EYRsaTxIj/fpJ9lRgD3Vl735mnPkTQCOBSY2ldFkk6QNFvS7IULF3YRtpmZDVXdJKnHJe3WeCHp1cCT/SyjFtOi6fW3gFMaw4jtRMRZETEuIsb19PR0FLCZmQ1t3ZyTOgn4saQF+fVLgXf0s0wv6f+qGkYCC5rKjAOmSwIYDhwgaVlEXNZFbGZmthbqOElFxCxJLwd2IPWQ7oyIp/tZbBYwVtI2wH3AJODIpnq3aTyXdA5wuROUmZlBdz0pgN2BMXm5V0kiIs5tVzgilkk6kXTV3jBgWkTMkTQ5z+/zPJSZma3bOk5Sks4DXgbcAjTOHwXQNkkBRMRMYGbTtJbJKSKO6zQeMzNb+3XTkxoH7BgRzRc+mJmZ1aKbq/v+CGxZVyBmZmbNuulJDQdul3Qj8FRjYkQcMuBRmZmZ0V2S+nxdQZiZmbXSzSXo10naGhgbEb+QtAnpij0zM7NadPNTHe8FfgJ8P08aAfj/mczMrDbdXDjxQWBP4FF47gcQX1xHUGZmZtBdknoq38kcAEnrs/J9+MzMzAZMN0nqOkmfAjaWtB/wY+Bn9YRlZmbWXZKaAiwE/gC8j3QXiba/yGtmZra6urm671ngv/LDzMysdt3cu+8vtDgHFRHbDmhEZmZmWbf37mvYCHg78MKBDcfMzGy5js9JRcSiyuO+iPgWsG+NsZmZ2Tqum+G+3Sov1yP1rDYb8IjMzMyybob7vl55vgyYDxw+oNGYmZlVdHN13z51BmK2thgz5YpBWe/80w4clPWa1amb4b6P9TU/Ir6x+uGYmZkt1+3VfbsDM/Lrg4HrgXsHOigzMzPo/kcPd4uIxwAkfR74cUS8p47AzMzMurkt0mhgaeX1UmDMgEZjZmZW0U1P6jzgRkmXku48cShwbi1RmZmZ0d0/834ZOB54GFgMHB8RX+lvOUkTJN0laa6kKS3mT5R0m6RbJM2W9Lpu3oCZma29uhnuA9gEeDQi/hPolbRNX4UlDQPOBPYHdgSOkLRjU7H/B+wSEbsC7wLO7jImMzNbS3Xz8/GfA04BPpknbQCc389i44G5ETEv/2DidGBitUBELImIxo1rn4d/SNHMzLJuelKHAocAjwNExAL6vy3SCFa8RL03T1uBpEMl3QlcQepNrUTSCXk4cPbChQu7CNvMzIaqbpLU0tzjCQBJz+tgGbWY1urnPi6NiJcDbwG+1KqiiDgrIsZFxLienp4uwjYzs6Gqm6v7LpL0fWALSe8l9Xj6+wHEXmBU5fVIYEG7whFxvaSXSRoeEQ92EduQ0Hy7nOnzFgEwaZBuo2NmVrqOkpQkAT8CXg48CuwAnBoR1/Sz6CxgbL7A4j5gEnBkU93bAX+OiMh3Wt8QWNTVuzAzs7VSR0kqJ5DLIuLVQH+JqbrcMkknAlcBw4BpETFH0uQ8fyrwNuAYSU8DTwLvqFxIYWZm67Buhvt+J2n3iJjVzQoiYiYws2na1Mrz04HTu6nTzMzWDd0kqX2AyZLmk67wE6mTtXMdgZmZmfWbpCSNjoi/kv4h18zMbI3ppCd1Genu5/dIujgi3lZ3UGZmZtDZ/0lV/9dp27oCMTMza9ZJkoo2z83MzGrVyXDfLpIeJfWoNs7PYfmFE5vXFp2Zma3T+k1SETFsTQRiZmbWrNuf6jAzM1tjnKTMzKxYTlJmZlYsJykzMyuWk5SZmRXLScrMzIrlJGVmZsVykjIzs2I5SZmZWbGcpMzMrFhOUmZmViwnKTMzK5aTlJmZFctJyszMiuUkZWZmxao9SUmaIOkuSXMlTWkx/yhJt+XHDZJ2qTsmMzMbGmpNUpKGAWcC+wM7AkdI2rGp2F+AvSJiZ+BLwFl1xmRmZkNH3T2p8cDciJgXEUuB6cDEaoGIuCEiHs4vfweMrDkmMzMbIupOUiOAeyuve/O0dt4NXNlqhqQTJM2WNHvhwoUDGKKZmZWq7iSlFtOiZUFpH1KSOqXV/Ig4KyLGRcS4np6eAQzRzMxKtX7N9fcCoyqvRwILmgtJ2hk4G9g/IhbVHJOZmQ0RdfekZgFjJW0jaUNgEjCjWkDSaOAS4OiIuLvmeMzMbAiptScVEcsknQhcBQwDpkXEHEmT8/ypwKnAi4DvSgJYFhHj6ozLzMyGhrqH+4iImcDMpmlTK8/fA7yn7jjMzGzo8R0nzMysWE5SZmZWLCcpMzMrlpOUmZkVq/YLJ8xszRgz5YpBW/f80w4ctHXb2s09KTMzK5aTlJmZFctJyszMiuUkZWZmxXKSMjOzYjlJmZlZsZykzMysWE5SZmZWLCcpMzMrlpOUmZkVy0nKzMyK5SRlZmbFcpIyM7NiOUmZmVmxnKTMzKxYTlJmZlYsJykzMytW7UlK0gRJd0maK2lKi/kvl/RbSU9J+njd8ZiZ2dBR68/HSxoGnAnsB/QCsyTNiIjbK8UeAj4MvKXOWMzMbOipuyc1HpgbEfMiYikwHZhYLRARD0TELODpmmMxM7MhptaeFDACuLfyuhfYY1UqknQCcALA6NGjVz8yMxswY6ZcUUu90+ctAmBSm/rnn3ZgLeu1ctTdk1KLabEqFUXEWRExLiLG9fT0rGZYZmY2FNSdpHqBUZXXI4EFNa/TzMzWEnUnqVnAWEnbSNoQmATMqHmdZma2lqj1nFRELJN0InAVMAyYFhFzJE3O86dK2hKYDWwOPCvpJGDHiHi0ztjMzKx8dV84QUTMBGY2TZtaeX4/aRjQzMxsBb7jhJmZFctJyszMiuUkZWZmxXKSMjOzYjlJmZlZsZykzMysWE5SZmZWLCcpMzMrlpOUmZkVy0nKzMyK5SRlZmbFqv3efWZmdanrxxb74x9bXHPWySQ1WBu2mZl1x8N9ZmZWLCcpMzMrlpOUmZkVy0nKzMyK5SRlZmbFcpIyM7NiOUmZmVmxnKTMzKxY6+Q/85qZrY7BvCHAuna3i9p7UpImSLpL0lxJU1rMl6Rv5/m3Sdqt7pjMzGxoqDVJSRoGnAnsD+wIHCFpx6Zi+wNj8+ME4Ht1xmRmZkNH3T2p8cDciJgXEUuB6cDEpjITgXMj+R2whaSX1hyXmZkNAXWfkxoB3Ft53Qvs0UGZEcDfqoUknUDqaQEskXRXB+sfDjzYTcBr0msbT04/qPGs6HhbcLz1WufjbfEdGUhDsn11+mrVsfXAhLLm1J2k1GJarEIZIuIs4KyuVi7Njohx3SwzmBxvvRxvvRxvvYZavAOl7uG+XmBU5fVIYMEqlDEzs3VQ3UlqFjBW0jaSNgQmATOayswAjslX+b0GeCQi/tZckZmZrXtqHe6LiGWSTgSuAoYB0yJijqTJef5UYCZwADAXeAI4fgBD6Gp4sACOt16Ot16Ot15DLd4BoYiVTv+YmZkVwbdFMjOzYjlJmZlZsYZ8kpI0TdIDkv7YZv7ekh6RdEt+nLqmY2yKZ5Sk/5F0h6Q5kj7Sokwxt4rqMN5i2ljSRpJulHRrjvcLLcqU1L6dxFtM++Z4hkn6X0mXt5hXTNtWYuor3tLadr6kP+RYZreYX1z71m1tuMHsOcAZwLl9lPlVRNTy34CrYBlwckTcLGkz4CZJ10TE7ZUy1VtF7UG6VVTzP0GvKZ3EC+W08VPAvhGxRNIGwK8lXZnvZtJQUvt2Ei+U074AHwHuADZvMa+ktm3oK14oq20B9omIdv9kXGL71mrI96Qi4nrgocGOo1MR8beIuDk/f4z05RnRVKyYW0V1GG8xcpstyS83yI/mq4NKat9O4i2GpJHAgcDZbYoU07bQUbxDTVHtuyYM+STVodfm4ZQrJe002ME0SBoDvAr4fdOsdreKGlR9xAsFtXEe3rkFeAC4JiKKbt8O4oVy2vdbwCeAZ9vML6pt6T9eKKdtIR2gXC3pJqVbwTUrrX1rty4kqZuBrSNiF+A7wGWDHA8AkjYFLgZOiohHm2e3WGRQj677ibeoNo6IZyJiV9LdS8ZLemVTkaLat4N4i2hfSQcBD0TETX0VazFtUNq2w3iLaNuKPSNiN9Kw3gclvb5pfjHtu6as9UkqIh5tDKdExExgA0nDBzOmfO7hYuCHEXFJiyJF3Sqqv3hLbOMcy2LgWla3i3wAAAE9SURBVGBC06yi2rehXbwFte+ewCGS5pN+0WBfSec3lSmpbfuNt6C2bcSzIP99ALiU9EsSVSW17xqx1icpSVtKUn4+nvSeFw1iPAJ+ANwREd9oU6yYW0V1Em9JbSypR9IW+fnGwBuBO5uKldS+/cZbSvtGxCcjYmREjCHd4uyXEfHOpmLFtG0n8ZbStnn9z8sXJyHpecCbgOarlotp3zVlyF/dJ+lCYG9guKRe4HOkk8+N2y4dBrxf0jLgSWBSDO5tNvYEjgb+kM9DAHwKGA1r5FZR3eok3pLa+KXAfyv94OZ6wEURcbnW3K24utVJvCW170oKbtuWCm7blwCX5py5PnBBRPx8qLXvQPNtkczMrFhr/XCfmZkNXU5SZmZWLCcpMzMrlpOUmZkVy0nKzMyK5SRlZmbFcpIyM7Ni/X9BKRA6Rgfb7AAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot probability distribution and confidence intervals\n",
+    "dist_plot = MC_fiveyear.plot_distribution()\n",
+    "\n",
+    "# Save the plot for future usage\n",
+    "dist_plot.get_figure().savefig('MonteCarlo_5yrs_distribution2.png',bbox_inches='tight')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "count           500.000000\n",
+      "mean              2.895847\n",
+      "std               0.589691\n",
+      "min               1.559500\n",
+      "25%               2.454324\n",
+      "50%               2.821701\n",
+      "75%               3.213398\n",
+      "max               5.025064\n",
+      "95% CI Lower      1.962128\n",
+      "95% CI Upper      4.251050\n",
+      "Name: 1260, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Fetch summary statistics from the Monte Carlo simulation results\n",
+    "summary = MC_fiveyear.summarize_cumulative_return()\n",
+    "\n",
+    "# Print summary statistics\n",
+    "print(summary)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "There is a 95% chance that an initial investment of $10,000 in the portfolio over the next 5 years will end within in the range of $19621.28 and $42510.5\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Use the lower and upper `95%` confidence intervals to calculate the range of the possible outcomes of our $10,000 investments in Coca-Cola and Microsoft stocks\n",
+    "ci_lower = round(summary[8]*10000,2)\n",
+    "ci_upper = round(summary[9]*10000,2)\n",
+    "\n",
+    "# Print results\n",
+    "print(f\"There is a 95% chance that an initial investment of $10,000 in the portfolio\"\n",
+    "      f\" over the next 5 years will end within in the range of\"\n",
+    "      f\" ${ci_lower} and ${ci_upper}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## MC Simulation for SP500"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set timeframe to '1D'\n",
+    "timeframe = \"1D\"\n",
+    "\n",
+    "# Set start and end datetimes between now and 3 years ago.\n",
+    "start_date = pd.Timestamp(\"2015-11-19\", tz=\"America/New_York\").isoformat()\n",
+    "end_date = pd.Timestamp(\"2020-10-01\", tz=\"America/New_York\").isoformat()\n",
+    "\n",
+    "# Set the ticker information\n",
+    "tickers_1 = ['SPY']\n",
+    "\n",
+    "# Get 5 years of past data of portfolios\n",
+    "df_ticker_1 = api.get_barset(\n",
+    "    tickers_1,\n",
+    "    timeframe,\n",
+    "    start=start_date,\n",
+    "    end=end_date\n",
+    ").df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Configuring a Monte Carlo simulation to forecast five years cumulative returns\n",
+    "MC_fiveyear_SP500 = MCSimulation(\n",
+    "    portfolio_data = df_ticker_1,\n",
+    "    weights = [1],\n",
+    "    num_simulation = 500,\n",
+    "    num_trading_days = 252*5\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running Monte Carlo simulation number 0.\n",
+      "Running Monte Carlo simulation number 10.\n",
+      "Running Monte Carlo simulation number 20.\n",
+      "Running Monte Carlo simulation number 30.\n",
+      "Running Monte Carlo simulation number 40.\n",
+      "Running Monte Carlo simulation number 50.\n",
+      "Running Monte Carlo simulation number 60.\n",
+      "Running Monte Carlo simulation number 70.\n",
+      "Running Monte Carlo simulation number 80.\n",
+      "Running Monte Carlo simulation number 90.\n",
+      "Running Monte Carlo simulation number 100.\n",
+      "Running Monte Carlo simulation number 110.\n",
+      "Running Monte Carlo simulation number 120.\n",
+      "Running Monte Carlo simulation number 130.\n",
+      "Running Monte Carlo simulation number 140.\n",
+      "Running Monte Carlo simulation number 150.\n",
+      "Running Monte Carlo simulation number 160.\n",
+      "Running Monte Carlo simulation number 170.\n",
+      "Running Monte Carlo simulation number 180.\n",
+      "Running Monte Carlo simulation number 190.\n",
+      "Running Monte Carlo simulation number 200.\n",
+      "Running Monte Carlo simulation number 210.\n",
+      "Running Monte Carlo simulation number 220.\n",
+      "Running Monte Carlo simulation number 230.\n",
+      "Running Monte Carlo simulation number 240.\n",
+      "Running Monte Carlo simulation number 250.\n",
+      "Running Monte Carlo simulation number 260.\n",
+      "Running Monte Carlo simulation number 270.\n",
+      "Running Monte Carlo simulation number 280.\n",
+      "Running Monte Carlo simulation number 290.\n",
+      "Running Monte Carlo simulation number 300.\n",
+      "Running Monte Carlo simulation number 310.\n",
+      "Running Monte Carlo simulation number 320.\n",
+      "Running Monte Carlo simulation number 330.\n",
+      "Running Monte Carlo simulation number 340.\n",
+      "Running Monte Carlo simulation number 350.\n",
+      "Running Monte Carlo simulation number 360.\n",
+      "Running Monte Carlo simulation number 370.\n",
+      "Running Monte Carlo simulation number 380.\n",
+      "Running Monte Carlo simulation number 390.\n",
+      "Running Monte Carlo simulation number 400.\n",
+      "Running Monte Carlo simulation number 410.\n",
+      "Running Monte Carlo simulation number 420.\n",
+      "Running Monte Carlo simulation number 430.\n",
+      "Running Monte Carlo simulation number 440.\n",
+      "Running Monte Carlo simulation number 450.\n",
+      "Running Monte Carlo simulation number 460.\n",
+      "Running Monte Carlo simulation number 470.\n",
+      "Running Monte Carlo simulation number 480.\n",
+      "Running Monte Carlo simulation number 490.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "<style scoped>\n",
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
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+       "      <th>4</th>\n",
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+       "      <th>490</th>\n",
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+       "      <th>495</th>\n",
+       "      <th>496</th>\n",
+       "      <th>497</th>\n",
+       "      <th>498</th>\n",
+       "      <th>499</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.000000</td>\n",
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+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
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+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.025240</td>\n",
+       "      <td>0.994252</td>\n",
+       "      <td>1.007339</td>\n",
+       "      <td>1.003842</td>\n",
+       "      <td>1.004661</td>\n",
+       "      <td>1.008039</td>\n",
+       "      <td>1.036028</td>\n",
+       "      <td>1.013963</td>\n",
+       "      <td>1.002222</td>\n",
+       "      <td>0.996770</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.995528</td>\n",
+       "      <td>1.005848</td>\n",
+       "      <td>0.985447</td>\n",
+       "      <td>0.997863</td>\n",
+       "      <td>0.981917</td>\n",
+       "      <td>1.013414</td>\n",
+       "      <td>0.982056</td>\n",
+       "      <td>1.005776</td>\n",
+       "      <td>1.002863</td>\n",
+       "      <td>0.990597</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.024945</td>\n",
+       "      <td>0.984344</td>\n",
+       "      <td>1.010838</td>\n",
+       "      <td>0.995444</td>\n",
+       "      <td>0.995019</td>\n",
+       "      <td>1.016381</td>\n",
+       "      <td>1.035466</td>\n",
+       "      <td>1.010888</td>\n",
+       "      <td>0.992452</td>\n",
+       "      <td>1.008830</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.986330</td>\n",
+       "      <td>1.007578</td>\n",
+       "      <td>0.980687</td>\n",
+       "      <td>0.998295</td>\n",
+       "      <td>0.990599</td>\n",
+       "      <td>1.013282</td>\n",
+       "      <td>0.973854</td>\n",
+       "      <td>1.001831</td>\n",
+       "      <td>1.001632</td>\n",
+       "      <td>0.982155</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.027859</td>\n",
+       "      <td>0.980948</td>\n",
+       "      <td>1.039085</td>\n",
+       "      <td>0.996435</td>\n",
+       "      <td>0.955176</td>\n",
+       "      <td>0.994890</td>\n",
+       "      <td>1.044883</td>\n",
+       "      <td>1.030342</td>\n",
+       "      <td>0.972230</td>\n",
+       "      <td>1.028340</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.993112</td>\n",
+       "      <td>1.019181</td>\n",
+       "      <td>0.959235</td>\n",
+       "      <td>0.982823</td>\n",
+       "      <td>0.992815</td>\n",
+       "      <td>1.007659</td>\n",
+       "      <td>0.991818</td>\n",
+       "      <td>0.986791</td>\n",
+       "      <td>1.005348</td>\n",
+       "      <td>0.989735</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.021238</td>\n",
+       "      <td>0.966043</td>\n",
+       "      <td>1.033850</td>\n",
+       "      <td>0.998911</td>\n",
+       "      <td>0.959645</td>\n",
+       "      <td>1.000255</td>\n",
+       "      <td>1.039067</td>\n",
+       "      <td>1.029801</td>\n",
+       "      <td>0.976492</td>\n",
+       "      <td>1.034202</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.957550</td>\n",
+       "      <td>0.984955</td>\n",
+       "      <td>0.993781</td>\n",
+       "      <td>0.995342</td>\n",
+       "      <td>1.013567</td>\n",
+       "      <td>1.005497</td>\n",
+       "      <td>0.963260</td>\n",
+       "      <td>0.986859</td>\n",
+       "      <td>1.006260</td>\n",
+       "      <td>0.985543</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1256</th>\n",
+       "      <td>1.136824</td>\n",
+       "      <td>1.059739</td>\n",
+       "      <td>2.862749</td>\n",
+       "      <td>1.536394</td>\n",
+       "      <td>1.194695</td>\n",
+       "      <td>2.131216</td>\n",
+       "      <td>1.302284</td>\n",
+       "      <td>2.044508</td>\n",
+       "      <td>1.669651</td>\n",
+       "      <td>2.288847</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.746951</td>\n",
+       "      <td>2.354714</td>\n",
+       "      <td>1.347568</td>\n",
+       "      <td>2.210135</td>\n",
+       "      <td>1.177048</td>\n",
+       "      <td>1.150474</td>\n",
+       "      <td>1.136106</td>\n",
+       "      <td>2.906233</td>\n",
+       "      <td>2.233422</td>\n",
+       "      <td>2.000418</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1257</th>\n",
+       "      <td>1.129375</td>\n",
+       "      <td>1.059733</td>\n",
+       "      <td>2.876605</td>\n",
+       "      <td>1.540728</td>\n",
+       "      <td>1.223460</td>\n",
+       "      <td>2.169137</td>\n",
+       "      <td>1.282259</td>\n",
+       "      <td>2.036708</td>\n",
+       "      <td>1.662069</td>\n",
+       "      <td>2.253778</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.817576</td>\n",
+       "      <td>2.356364</td>\n",
+       "      <td>1.360087</td>\n",
+       "      <td>2.222015</td>\n",
+       "      <td>1.183206</td>\n",
+       "      <td>1.164707</td>\n",
+       "      <td>1.160896</td>\n",
+       "      <td>2.934053</td>\n",
+       "      <td>2.262686</td>\n",
+       "      <td>1.966814</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1258</th>\n",
+       "      <td>1.133101</td>\n",
+       "      <td>1.057730</td>\n",
+       "      <td>2.977346</td>\n",
+       "      <td>1.569488</td>\n",
+       "      <td>1.232280</td>\n",
+       "      <td>2.185914</td>\n",
+       "      <td>1.285174</td>\n",
+       "      <td>2.009118</td>\n",
+       "      <td>1.643810</td>\n",
+       "      <td>2.267049</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.809375</td>\n",
+       "      <td>2.398208</td>\n",
+       "      <td>1.369752</td>\n",
+       "      <td>2.212873</td>\n",
+       "      <td>1.167419</td>\n",
+       "      <td>1.177250</td>\n",
+       "      <td>1.153452</td>\n",
+       "      <td>2.930655</td>\n",
+       "      <td>2.268406</td>\n",
+       "      <td>1.995717</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1259</th>\n",
+       "      <td>1.146316</td>\n",
+       "      <td>1.068511</td>\n",
+       "      <td>3.005279</td>\n",
+       "      <td>1.582927</td>\n",
+       "      <td>1.218385</td>\n",
+       "      <td>2.168386</td>\n",
+       "      <td>1.297530</td>\n",
+       "      <td>1.999931</td>\n",
+       "      <td>1.633240</td>\n",
+       "      <td>2.254467</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.859423</td>\n",
+       "      <td>2.401145</td>\n",
+       "      <td>1.371379</td>\n",
+       "      <td>2.225695</td>\n",
+       "      <td>1.164316</td>\n",
+       "      <td>1.166739</td>\n",
+       "      <td>1.155447</td>\n",
+       "      <td>2.871105</td>\n",
+       "      <td>2.266229</td>\n",
+       "      <td>2.023097</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1260</th>\n",
+       "      <td>1.146136</td>\n",
+       "      <td>1.043808</td>\n",
+       "      <td>2.986872</td>\n",
+       "      <td>1.567583</td>\n",
+       "      <td>1.240238</td>\n",
+       "      <td>2.224919</td>\n",
+       "      <td>1.278256</td>\n",
+       "      <td>2.014983</td>\n",
+       "      <td>1.626408</td>\n",
+       "      <td>2.287521</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.839978</td>\n",
+       "      <td>2.408209</td>\n",
+       "      <td>1.389274</td>\n",
+       "      <td>2.246986</td>\n",
+       "      <td>1.185865</td>\n",
+       "      <td>1.172749</td>\n",
+       "      <td>1.171990</td>\n",
+       "      <td>2.920379</td>\n",
+       "      <td>2.284771</td>\n",
+       "      <td>2.038920</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1261 rows × 500 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           0         1         2         3         4         5         6    \\\n",
+       "0     1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000   \n",
+       "1     1.025240  0.994252  1.007339  1.003842  1.004661  1.008039  1.036028   \n",
+       "2     1.024945  0.984344  1.010838  0.995444  0.995019  1.016381  1.035466   \n",
+       "3     1.027859  0.980948  1.039085  0.996435  0.955176  0.994890  1.044883   \n",
+       "4     1.021238  0.966043  1.033850  0.998911  0.959645  1.000255  1.039067   \n",
+       "...        ...       ...       ...       ...       ...       ...       ...   \n",
+       "1256  1.136824  1.059739  2.862749  1.536394  1.194695  2.131216  1.302284   \n",
+       "1257  1.129375  1.059733  2.876605  1.540728  1.223460  2.169137  1.282259   \n",
+       "1258  1.133101  1.057730  2.977346  1.569488  1.232280  2.185914  1.285174   \n",
+       "1259  1.146316  1.068511  3.005279  1.582927  1.218385  2.168386  1.297530   \n",
+       "1260  1.146136  1.043808  2.986872  1.567583  1.240238  2.224919  1.278256   \n",
+       "\n",
+       "           7         8         9    ...       490       491       492  \\\n",
+       "0     1.000000  1.000000  1.000000  ...  1.000000  1.000000  1.000000   \n",
+       "1     1.013963  1.002222  0.996770  ...  0.995528  1.005848  0.985447   \n",
+       "2     1.010888  0.992452  1.008830  ...  0.986330  1.007578  0.980687   \n",
+       "3     1.030342  0.972230  1.028340  ...  0.993112  1.019181  0.959235   \n",
+       "4     1.029801  0.976492  1.034202  ...  0.957550  0.984955  0.993781   \n",
+       "...        ...       ...       ...  ...       ...       ...       ...   \n",
+       "1256  2.044508  1.669651  2.288847  ...  2.746951  2.354714  1.347568   \n",
+       "1257  2.036708  1.662069  2.253778  ...  2.817576  2.356364  1.360087   \n",
+       "1258  2.009118  1.643810  2.267049  ...  2.809375  2.398208  1.369752   \n",
+       "1259  1.999931  1.633240  2.254467  ...  2.859423  2.401145  1.371379   \n",
+       "1260  2.014983  1.626408  2.287521  ...  2.839978  2.408209  1.389274   \n",
+       "\n",
+       "           493       494       495       496       497       498       499  \n",
+       "0     1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  \n",
+       "1     0.997863  0.981917  1.013414  0.982056  1.005776  1.002863  0.990597  \n",
+       "2     0.998295  0.990599  1.013282  0.973854  1.001831  1.001632  0.982155  \n",
+       "3     0.982823  0.992815  1.007659  0.991818  0.986791  1.005348  0.989735  \n",
+       "4     0.995342  1.013567  1.005497  0.963260  0.986859  1.006260  0.985543  \n",
+       "...        ...       ...       ...       ...       ...       ...       ...  \n",
+       "1256  2.210135  1.177048  1.150474  1.136106  2.906233  2.233422  2.000418  \n",
+       "1257  2.222015  1.183206  1.164707  1.160896  2.934053  2.262686  1.966814  \n",
+       "1258  2.212873  1.167419  1.177250  1.153452  2.930655  2.268406  1.995717  \n",
+       "1259  2.225695  1.164316  1.166739  1.155447  2.871105  2.266229  2.023097  \n",
+       "1260  2.246986  1.185865  1.172749  1.171990  2.920379  2.284771  2.038920  \n",
+       "\n",
+       "[1261 rows x 500 columns]"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "MC_fiveyear_SP500.calc_cumulative_return()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "line_plot = MC_fiveyear_SP500.plot_simulation()\n",
+    "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_SPY_simulation.png\", bbox_inches=\"tight\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "dist_plot = MC_fiveyear_SP500.plot_distribution()\n",
+    "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_SPY_dist.png\", bbox_inches=\"tight\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "count           500.000000\n",
+      "mean              2.895847\n",
+      "std               0.589691\n",
+      "min               1.559500\n",
+      "25%               2.454324\n",
+      "50%               2.821701\n",
+      "75%               3.213398\n",
+      "max               5.025064\n",
+      "95% CI Lower      1.962128\n",
+      "95% CI Upper      4.251050\n",
+      "Name: 1260, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Fetch summary statistics from the Monte Carlo simulation results\n",
+    "summary = MC_fiveyear.summarize_cumulative_return()\n",
+    "\n",
+    "# Print summary statistics\n",
+    "print(summary)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "There is a 95% chance that an initial investment of $10,000 in the portfolio over the next 5 years will end within in the range of $19621.28 and $42510.5\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Use the lower and upper `95%` confidence intervals to calculate the range of the possible outcomes of our $10,000 investments in Coca-Cola and Microsoft stocks\n",
+    "ci_lower = round(summary[8]*10000,2)\n",
+    "ci_upper = round(summary[9]*10000,2)\n",
+    "\n",
+    "# Print results\n",
+    "print(f\"There is a 95% chance that an initial investment of $10,000 in the portfolio\"\n",
+    "      f\" over the next 5 years will end within in the range of\"\n",
+    "      f\" ${ci_lower} and ${ci_upper}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Final_project_notebook/.ipynb_checkpoints/MonteCarlo_5yrs_SPY_simulation-checkpoint.png b/Final_project_notebook/.ipynb_checkpoints/MonteCarlo_5yrs_SPY_simulation-checkpoint.png
new file mode 100644
index 0000000..c6439c5
Binary files /dev/null and b/Final_project_notebook/.ipynb_checkpoints/MonteCarlo_5yrs_SPY_simulation-checkpoint.png differ
diff --git a/Final_project_notebook/.ipynb_checkpoints/Untitled-checkpoint.ipynb b/Final_project_notebook/.ipynb_checkpoints/Untitled-checkpoint.ipynb
new file mode 100644
index 0000000..81e676d
--- /dev/null
+++ b/Final_project_notebook/.ipynb_checkpoints/Untitled-checkpoint.ipynb
@@ -0,0 +1,4655 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "\n",
+       "(function(root) {\n",
+       "  function now() {\n",
+       "    return new Date();\n",
+       "  }\n",
+       "\n",
+       "  var force = true;\n",
+       "\n",
+       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
+       "    root._bokeh_onload_callbacks = [];\n",
+       "    root._bokeh_is_loading = undefined;\n",
+       "  }\n",
+       "\n",
+       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
+       "    root._bokeh_timeout = Date.now() + 5000;\n",
+       "    root._bokeh_failed_load = false;\n",
+       "  }\n",
+       "\n",
+       "  function run_callbacks() {\n",
+       "    try {\n",
+       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
+       "        if (callback != null)\n",
+       "          callback();\n",
+       "      });\n",
+       "    } finally {\n",
+       "      delete root._bokeh_onload_callbacks\n",
+       "    }\n",
+       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
+       "  }\n",
+       "\n",
+       "  function load_libs(css_urls, js_urls, callback) {\n",
+       "    if (css_urls == null) css_urls = [];\n",
+       "    if (js_urls == null) js_urls = [];\n",
+       "\n",
+       "    root._bokeh_onload_callbacks.push(callback);\n",
+       "    if (root._bokeh_is_loading > 0) {\n",
+       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
+       "      return null;\n",
+       "    }\n",
+       "    if (js_urls == null || js_urls.length === 0) {\n",
+       "      run_callbacks();\n",
+       "      return null;\n",
+       "    }\n",
+       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
+       "\n",
+       "    function on_load() {\n",
+       "      root._bokeh_is_loading--;\n",
+       "      if (root._bokeh_is_loading === 0) {\n",
+       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
+       "        run_callbacks()\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    function on_error() {\n",
+       "      console.error(\"failed to load \" + url);\n",
+       "    }\n",
+       "\n",
+       "    for (var i = 0; i < css_urls.length; i++) {\n",
+       "      var url = css_urls[i];\n",
+       "      const element = document.createElement(\"link\");\n",
+       "      element.onload = on_load;\n",
+       "      element.onerror = on_error;\n",
+       "      element.rel = \"stylesheet\";\n",
+       "      element.type = \"text/css\";\n",
+       "      element.href = url;\n",
+       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
+       "      document.body.appendChild(element);\n",
+       "    }\n",
+       "\n",
+       "    if (window.requirejs) {\n",
+       "      window.requirejs.config({'paths': {'plotly': 'https://cdn.plot.ly/plotly-latest.min'}});\n",
+       "      require([\"plotly\"], function(Plotly,) {\n",
+       "        window.Plotly = Plotly;\n",
+       "        run_callbacks();\n",
+       "      })\n",
+       "    } else {\n",
+       "      var skip = [];\n",
+       "      if ((window['Plotly'] !== undefined) && (!(window['Plotly'] instanceof HTMLElement))) {\n",
+       "        var urls = ['https://cdn.plot.ly/plotly-latest.min.js'];\n",
+       "        for (var i = 0; i < urls.length; i++) {\n",
+       "          skip.push(urls[i])\n",
+       "        }\n",
+       "      }\n",
+       "      for (var i = 0; i < js_urls.length; i++) {\n",
+       "        var url = js_urls[i];\n",
+       "        if (skip.indexOf(url) >= 0) { on_load(); continue; }\n",
+       "        var element = document.createElement('script');\n",
+       "        element.onload = on_load;\n",
+       "        element.onerror = on_error;\n",
+       "        element.async = false;\n",
+       "        element.src = url;\n",
+       "        console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "        document.head.appendChild(element);\n",
+       "      }\n",
+       "    }\n",
+       "  };\n",
+       "\n",
+       "  function inject_raw_css(css) {\n",
+       "    const element = document.createElement(\"style\");\n",
+       "    element.appendChild(document.createTextNode(css));\n",
+       "    document.body.appendChild(element);\n",
+       "  }\n",
+       "\n",
+       "  var js_urls = [\"https://code.jquery.com/jquery-3.4.1.min.js\", \"https://cdn.plot.ly/plotly-latest.min.js\"];\n",
+       "  var css_urls = [];\n",
+       "\n",
+       "  var inline_js = [\n",
+       "    function(Bokeh) {\n",
+       "      inject_raw_css(\"table.panel-df {\\n    margin-left: auto;\\n    margin-right: auto;\\n    border: none;\\n    border-collapse: collapse;\\n    border-spacing: 0;\\n    color: black;\\n    font-size: 12px;\\n    table-layout: fixed;\\n    width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n    text-align: right;\\n    vertical-align: middle;\\n    padding: 0.5em 0.5em !important;\\n    line-height: normal;\\n    white-space: normal;\\n    max-width: none;\\n    border: none;\\n}\\n\\n.panel-df tbody {\\n    display: table-row-group;\\n    vertical-align: middle;\\n    border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n    background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n    border-bottom: 1px solid black;\\n    vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n    background: lightblue !important;\\n    cursor: pointer;\\n}\\n\");\n",
+       "    },\n",
+       "    function(Bokeh) {\n",
+       "      inject_raw_css(\".json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n  color: black;\\n  text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n  color: green;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: 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+       "    },\n",
+       "    function(Bokeh) {\n",
+       "      inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite  { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; 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+       "    },\n",
+       "    function(Bokeh) {\n",
+       "      inject_raw_css(\".panel-widget-box {\\n\\tmin-height: 20px;\\n\\tbackground-color: #f5f5f5;\\n\\tborder: 1px solid #e3e3e3 !important;\\n\\tborder-radius: 4px;\\n\\t-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\tbox-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\toverflow-x: hidden;\\n\\toverflow-y: hidden;\\n}\\n\\n.scrollable {\\n  overflow: scroll;\\n}\\n\\nprogress {\\n\\tappearance: none;\\n\\t-moz-appearance: none;\\n\\t-webkit-appearance: none;\\n\\n\\tborder: none;\\n\\theight: 20px;\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n\\tcolor: royalblue;\\n\\tposition: relative;\\n\\tmargin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n\\tposition: relative;\\n\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n\\tborder-radius:3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n\\tcontent:\\\" \\\";\\n\\tposition:absolute;\\n\\theight: 20px;\\n\\ttop:0;\\n\\tleft:0;\\n\\tright:0;\\n\\tbottom:0;\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n  from {background-position: 0%}\\n  to {background-position: 100%}\\n}\\n\");\n",
+       "    },\n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN bokeh.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        const bokeh = factory();\n",
+       "        if (root.Bokeh === undefined) {\n",
+       "          root.Bokeh = bokeh;\n",
+       "        }\n",
+       "        const Bokeh = root.Bokeh;\n",
+       "        Bokeh[bokeh.version] = bokeh;\n",
+       "      })(this, function() {\n",
+       "        var define;\n",
+       "        var parent_require = typeof require === \"function\" && require\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          if (aliases === undefined) aliases = {};\n",
+       "          if (externals === undefined) externals = {};\n",
+       "\n",
+       "          var cache = {};\n",
+       "\n",
+       "          var normalize = function(name) {\n",
+       "            if (typeof name === \"number\")\n",
+       "              return name;\n",
+       "\n",
+       "            if (name === \"bokehjs\")\n",
+       "              return entry;\n",
+       "\n",
+       "            var prefix = \"@bokehjs/\"\n",
+       "            if (name.slice(0, prefix.length) === prefix)\n",
+       "              name = name.slice(prefix.length)\n",
+       "\n",
+       "            var alias = aliases[name]\n",
+       "            if (alias != null)\n",
+       "              return alias;\n",
+       "\n",
+       "            var trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n",
+       "            var index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n",
+       "            if (index != null)\n",
+       "              return index;\n",
+       "\n",
+       "            return name;\n",
+       "          }\n",
+       "\n",
+       "          var require = function(name) {\n",
+       "            var mod = cache[name];\n",
+       "            if (!mod) {\n",
+       "              var id = normalize(name);\n",
+       "\n",
+       "              mod = cache[id];\n",
+       "              if (!mod) {\n",
+       "                if (!modules[id]) {\n",
+       "                  if (externals[id] === false || (externals[id] == true && parent_require)) {\n",
+       "                    try {\n",
+       "                      mod = {exports: externals[id] ? parent_require(id) : {}};\n",
+       "                      cache[id] = cache[name] = mod;\n",
+       "                      return mod.exports;\n",
+       "                    } catch (e) {}\n",
+       "                  }\n",
+       "\n",
+       "                  var err = new Error(\"Cannot find module '\" + name + \"'\");\n",
+       "                  err.code = 'MODULE_NOT_FOUND';\n",
+       "                  throw err;\n",
+       "                }\n",
+       "\n",
+       "                mod = {exports: {}};\n",
+       "                cache[id] = cache[name] = mod;\n",
+       "                modules[id].call(mod.exports, require, mod, mod.exports);\n",
+       "              } else\n",
+       "                cache[name] = mod;\n",
+       "            }\n",
+       "\n",
+       "            return mod.exports;\n",
+       "          }\n",
+       "\n",
+       "          var main = require(entry);\n",
+       "          main.require = require;\n",
+       "\n",
+       "          if (typeof Proxy !== \"undefined\") {\n",
+       "            // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n",
+       "            main.loader = new Proxy({}, {\n",
+       "              get: function(_obj, module) {\n",
+       "                return require(module);\n",
+       "              }\n",
+       "            });\n",
+       "          }\n",
+       "\n",
+       "          main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n",
+       "            if (plugin_aliases === undefined) plugin_aliases = {};\n",
+       "            if (plugin_externals === undefined) plugin_externals = {};\n",
+       "\n",
+       "            for (var name in plugin_modules) {\n",
+       "              modules[name] = plugin_modules[name];\n",
+       "            }\n",
+       "\n",
+       "            for (var name in plugin_aliases) {\n",
+       "              aliases[name] = plugin_aliases[name];\n",
+       "            }\n",
+       "\n",
+       "            for (var name in plugin_externals) {\n",
+       "              externals[name] = plugin_externals[name];\n",
+       "            }\n",
+       "\n",
+       "            var plugin = require(plugin_entry);\n",
+       "\n",
+       "            for (var name in plugin) {\n",
+       "              main[name] = plugin[name];\n",
+       "            }\n",
+       "\n",
+       "            return plugin;\n",
+       "          }\n",
+       "\n",
+       "          return main;\n",
+       "        })\n",
+       "      ([\n",
+       "      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0}),e(1).__exportStar(e(2),_)},\n",
+       "      function _(t,e,n){\n",
+       "      /*! *****************************************************************************\n",
+       "          Copyright (c) Microsoft Corporation. All rights reserved.\n",
+       "          Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n",
+       "          this file except in compliance with the License. You may obtain a copy of the\n",
+       "          License at http://www.apache.org/licenses/LICENSE-2.0\n",
+       "          \n",
+       "          THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n",
+       "          KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n",
+       "          WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n",
+       "          MERCHANTABLITY OR NON-INFRINGEMENT.\n",
+       "          \n",
+       "          See the Apache Version 2.0 License for specific language governing permissions\n",
+       "          and limitations under the License.\n",
+       "          ***************************************************************************** */\n",
+       "      Object.defineProperty(n,\"__esModule\",{value:!0});var r=function(t,e){return(r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n])})(t,e)};function o(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,n=e&&t[e],r=0;if(n)return n.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&r>=t.length&&(t=void 0),{value:t&&t[r++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")}function a(t,e){var n=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!n)return t;var r,o,a=n.call(t),i=[];try{for(;(void 0===e||e-- >0)&&!(r=a.next()).done;)i.push(r.value)}catch(t){o={error:t}}finally{try{r&&!r.done&&(n=a.return)&&n.call(a)}finally{if(o)throw o.error}}return i}function i(t){return this instanceof i?(this.v=t,this):new i(t)}n.__extends=function(t,e){function 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+       "      function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(5),s=e(72),d=e(24),r=e(8),_=e(15),c=e(358),i=e(360),a=e(359);var u=e(358);n.add_document_standalone=u.add_document_standalone,n.index=u.index;var l=e(360);n.add_document_from_session=l.add_document_from_session;var m=e(365);n.embed_items_notebook=m.embed_items_notebook,n.kernels=m.kernels;var f=e(359);async function g(e,o,n,_){r.isString(e)&&(e=JSON.parse(d.unescape(e)));const u={};for(const o in e){const n=e[o];u[o]=t.Document.from_json(n)}const l=[];for(const e of o){const o=a._resolve_element(e),t=a._resolve_root_elements(e);if(null!=e.docid)l.push(await c.add_document_standalone(u[e.docid],o,t,e.use_for_title));else{if(null==e.token)throw new Error(\"Error rendering Bokeh items: either 'docid' or 'token' was expected.\");{const d=i._get_ws_url(n,_);s.logger.debug(\"embed: computed ws url: \"+d);try{l.push(await i.add_document_from_session(d,e.token,o,t,e.use_for_title)),console.log(\"Bokeh items were rendered successfully\")}catch(e){console.log(\"Error rendering Bokeh items:\",e)}}}}return l}n.BOKEH_ROOT=f.BOKEH_ROOT,n.embed_item=async function(e,o){const n={},t=d.uuid4();n[t]=e.doc,null==o&&(o=e.target_id);const s=document.getElementById(o);null!=s&&s.classList.add(a.BOKEH_ROOT);const r={roots:{[e.root_id]:o},root_ids:[e.root_id],docid:t},[c]=await _.defer(()=>g(n,[r]));return c},n.embed_items=async function(e,o,n,t){return await _.defer(()=>g(e,o,n,t))}},\n",
+       "      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);o.__exportStar(e(6),_),o.__exportStar(e(105),_)},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),n=e(7),r=e(3),i=e(72),_=e(291),a=e(13),l=e(14),c=e(16),h=e(27),d=e(9),f=o.__importStar(e(104)),u=e(25),m=e(8),g=e(245),p=e(76),w=e(71),v=e(105);class b{constructor(e){this.document=e,this.session=null,this.subscribed_models=new Set}send_event(e){const t=new v.MessageSentEvent(this.document,\"bokeh_event\",e.to_json());this.document._trigger_on_change(t)}trigger(e){for(const t of this.subscribed_models)null!=e.origin&&e.origin!=t||t._process_event(e)}}s.EventManager=b,b.__name__=\"EventManager\",s.documents=[],s.DEFAULT_TITLE=\"Bokeh Application\";class y{constructor(){s.documents.push(this),this._init_timestamp=Date.now(),this._title=s.DEFAULT_TITLE,this._roots=[],this._all_models=new Map,this._all_models_freeze_count=0,this._callbacks=new Map,this._message_callbacks=new Map,this.event_manager=new b(this),this.idle=new l.Signal0(this,\"idle\"),this._idle_roots=new WeakMap,this._interactive_timestamp=null,this._interactive_plot=null}get layoutables(){return this._roots.filter(e=>e instanceof g.LayoutDOM)}get is_idle(){for(const e of this.layoutables)if(!this._idle_roots.has(e))return!1;return!0}notify_idle(e){this._idle_roots.set(e,!0),this.is_idle&&(i.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),this.idle.emit())}clear(){this._push_all_models_freeze();try{for(;this._roots.length>0;)this.remove_root(this._roots[0])}finally{this._pop_all_models_freeze()}}interactive_start(e){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new _.LODStart)),this._interactive_timestamp=Date.now()}interactive_stop(e){null!=this._interactive_plot&&this._interactive_plot.id===e.id&&this._interactive_plot.trigger_event(new _.LODEnd),this._interactive_plot=null,this._interactive_timestamp=null}interactive_duration(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=d.copy(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(\"Somehow we didn't detach \"+e);if(0!=this._all_models.size)throw new Error(\"this._all_models still had stuff in it: \"+this._all_models);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){i.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=f.union(e,t.references());const t=new Set(this._all_models.values()),s=f.difference(t,e),o=f.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(i.logger.debug(\"Adding root: \"+e),!d.includes(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new v.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof w.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof v.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new v.ModelChangedEvent(this,e,t,s,o,null==n?void 0:n.setter_id,null==n?void 0:n.hint))}static _references_json(e,t=!0){const s=[];for(const o of e){const e=o.struct();e.attributes=o.attributes_as_json(t),delete e.attributes.id,s.push(e)}return s}static _instantiate_object(e,t,s){const o=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(n.Models(t))(o)}static _instantiate_references_json(e,t){const s=new Map;for(const o of e){const e=o.id,n=o.type,r=o.attributes||{};let i=t.get(e);null==i&&(i=y._instantiate_object(e,n,r),null!=o.subtype&&i.set_subtype(o.subtype)),s.set(i.id,i)}return s}static _resolve_refs(e,t,s,o){function n(e){if(c.is_ref(e)){if(t.has(e.id))return t.get(e.id);if(s.has(e.id))return s.get(e.id);throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}return h.is_NDArray_ref(e)?h.decode_NDArray(e,o):m.isArray(e)?function(e){const t=[];for(const s of e)t.push(n(s));return t}(e):m.isPlainObject(e)?function(e){const t={};for(const s in e){const o=e[s];t[s]=n(o)}return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:r,attributes:i}of e){const e=!t.has(r),_=e?s.get(r):t.get(r),a=y._resolve_refs(i,t,s,o);_.setv(a,{silent:!0}),n.set(r,{instance:_,is_new:e})}const r=[],i=new Set;function _(e){if(e instanceof a.HasProps){if(n.has(e.id)&&!i.has(e.id)){i.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e in o)_(o[e]);s&&(t.finalize(),r.push(t))}}else if(m.isArray(e))for(const t of e)_(t);else if(m.isPlainObject(e))for(const t in e)_(e[t])}for(const e of n.values())_(e.instance);for(const e of r)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const r={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return a.HasProps._json_record_references(o,s,n,{recursive:!0}),r}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),r=Object.keys(t.attributes),_=d.difference(n,r),a=d.difference(r,n),l=d.intersection(n,r),c=[];for(const e of _)i.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of a){const r=t.attributes[n];c.push(y._event_for_attribute_change(e,n,r,s,o))}for(const n of l){const r=e.attributes[n],i=t.attributes[n];null==r&&null==i||(null==r||null==i?c.push(y._event_for_attribute_change(e,n,i,s,o)):u.isEqual(r,i)||c.push(y._event_for_attribute_change(e,n,i,s,o)))}return c.filter(e=>null!=e)}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),r=new Map,i=[];for(const t of e.roots.root_ids)r.set(t,n.get(t)),i.push(t);const _=o(s),a=new Map,l=[];for(const e of s.roots.root_ids)a.set(e,_.get(e)),l.push(e);if(i.sort(),l.sort(),d.difference(i,l).length>0||d.difference(l,i).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=y._events_to_sync_objects(n.get(e),_.get(e),t,c);h=h.concat(s)}return{references:y._references_json(c,!1),events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=this._roots.map(e=>e.id),s=this._all_models.values();return{version:r.version,title:this._title,roots:{root_ids:t,references:y._references_json(s,e)}}}static from_json_string(e){const t=JSON.parse(e);return y.from_json(t)}static from_json(e){i.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${r.version}) / Python (${t})`;s||r.version.replace(/-(dev|rc)\\./,\"$1\")==t?i.logger.debug(o):(i.logger.warn(\"JS/Python version mismatch\"),i.logger.warn(o));const n=e.roots,_=n.root_ids,a=n.references,l=y._instantiate_references_json(a,new Map);y._initialize_references_json(a,new Map,l,new Map);const c=new y;for(const e of _){const t=l.get(e);null!=t&&c.add_root(t)}return c.set_title(e.title),c}replace_with_json(e){y.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){const t=new Set,s=[];for(const o of e){if(o.document!==this)throw i.logger.warn(\"Cannot create a patch using events from a different document, event had \",o.document,\" we are \",this),new Error(\"Cannot create a patch using events from a different document\");s.push(o.json(t))}return{events:s,references:y._references_json(t)}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,r=y._instantiate_references_json(o,this._all_models);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)r.set(t,s);else if(!r.has(t))throw i.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const _=new Map,a=new Map;for(const[e,t]of r)this._all_models.has(e)?_.set(e,t):a.set(e,t);y._initialize_references_json(o,_,a,t);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=y._resolve_refs(o,_,a,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const r=e.attr,i=y._resolve_refs(e.new,_,a,t);n.setv({[r]:i},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const r=y._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in r||(r[e]=n.data[e]);n.setv({data:r},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot stream to ${t} which is not in the document`);if(!(o instanceof p.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,r=e.rollover;o.stream(n,r,s);break}case\"ColumnsPatched\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot patch ${t} which is not in the document`);if(!(o instanceof p.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=e.model.id,o=r.get(t);this.add_root(o,s);break}case\"RootRemoved\":{const t=e.model.id,o=r.get(t);this.remove_root(o,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(\"Unknown patch event \"+JSON.stringify(e))}}}s.Document=y,y.__name__=\"Document\"},\n",
+       "      function _(e,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),t=e(8),d=e(13);s.overrides={};const i=new Map;s.Models=e=>{const r=s.overrides[e]||i.get(e);if(null==r)throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`);return r},s.Models.register=(e,r)=>{s.overrides[e]=r},s.Models.unregister=e=>{delete s.overrides[e]},s.Models.register_models=(e,r=!1,s)=>{var o;if(null!=e)for(const l in e){const n=e[l];if(o=n,t.isObject(o)&&o.prototype instanceof d.HasProps){const e=n.__qualified__;r||!i.has(e)?i.set(e,n):null!=s?s(e):console.warn(`Model '${e}' was already registered`)}}},s.register_models=s.Models.register_models,s.Models.registered_names=()=>Array.from(i.keys());const l=o.__importStar(e(29));s.register_models(l)},\n",
+       "      function _(n,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});\n",
+       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
+       "      //     Underscore may be freely distributed under the MIT license.\n",
+       "      const e=n(9),i=Object.prototype.toString;function o(n){return\"[object Number]\"===i.call(n)}function c(n){const t=typeof n;return\"function\"===t||\"object\"===t&&!!n}r.isBoolean=function(n){return!0===n||!1===n||\"[object Boolean]\"===i.call(n)},r.isNumber=o,r.isInteger=function(n){return o(n)&&Number.isInteger(n)},r.isString=function(n){return\"[object String]\"===i.call(n)},r.isFunction=function(n){return\"[object Function]\"===i.call(n)},r.isArray=function(n){return Array.isArray(n)},r.isArrayOf=function(n,t){return e.every(n,t)},r.isArrayableOf=function(n,t){for(let r=0,e=n.length;r<e;r++)if(!t(n[r]))return!1;return!0},r.isTypedArray=function(n){return ArrayBuffer.isView(n)&&!(n instanceof DataView)},r.isObject=c,r.isPlainObject=function(n){return c(n)&&(null==n.constructor||n.constructor===Object)}},\n",
+       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});\n",
+       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
+       "      //     Underscore may be freely distributed under the MIT license.\n",
+       "      const r=n(10),o=n(11),i=n(12);e.map=i.map,e.reduce=i.reduce,e.min=i.min,e.min_by=i.min_by,e.max=i.max,e.max_by=i.max_by,e.sum=i.sum,e.cumsum=i.cumsum,e.every=i.every,e.some=i.some,e.find=i.find,e.find_last=i.find_last,e.find_index=i.find_index,e.find_last_index=i.find_last_index,e.sorted_index=i.sorted_index,e.is_empty=i.is_empty;const u=Array.prototype.slice;function c(n){return u.call(n)}function f(n){return[].concat(...n)}function s(n,t){return-1!==n.indexOf(t)}function l(n,t,e=1){o.assert(e>0,\"'step' must be a positive number\"),null==t&&(t=n,n=0);const{max:r,ceil:i,abs:u}=Math,c=n<=t?e:-e,f=r(i(u(t-n)/e),0),s=Array(f);for(let t=0;t<f;t++,n+=c)s[t]=n;return s}function a(n){const t=[];for(const e of n)s(t,e)||t.push(e);return t}e.head=function(n){return n[0]},e.tail=function(n){return n[n.length-1]},e.last=function(n){return n[n.length-1]},e.copy=c,e.concat=f,e.includes=s,e.contains=s,e.nth=function(n,t){return n[t>=0?t:n.length+t]},e.zip=function(...n){if(0==n.length)return[];const t=i.min(n.map(n=>n.length)),e=n.length,r=new Array(t);for(let o=0;o<t;o++){r[o]=new Array(e);for(let t=0;t<e;t++)r[o][t]=n[t][o]}return r},e.unzip=function(n){const t=n.length,e=i.min(n.map(n=>n.length)),r=Array(e);for(let n=0;n<e;n++)r[n]=new Array(t);for(let o=0;o<t;o++)for(let t=0;t<e;t++)r[t][o]=n[o][t];return r},e.range=l,e.linspace=function(n,t,e=100){const r=(t-n)/(e-1),o=new Array(e);for(let t=0;t<e;t++)o[t]=n+r*t;return o},e.transpose=function(n){const t=n.length,e=n[0].length,r=[];for(let o=0;o<e;o++){r[o]=[];for(let e=0;e<t;e++)r[o][e]=n[e][o]}return r},e.argmin=function(n){return i.min_by(l(n.length),t=>n[t])},e.argmax=function(n){return i.max_by(l(n.length),t=>n[t])},e.sort_by=function(n,t){const e=n.map((n,e)=>({value:n,index:e,key:t(n)}));return e.sort((n,t)=>{const e=n.key,r=t.key;if(e!==r){if(e>r||void 0===e)return 1;if(e<r||void 0===r)return-1}return n.index-t.index}),e.map(n=>n.value)},e.uniq=a,e.uniq_by=function(n,t){const e=[],r=[];for(const o of n){const n=t(o);s(r,n)||(r.push(n),e.push(o))}return e},e.union=function(...n){return a(f(n))},e.intersection=function(n,...t){const e=[];n:for(const r of n)if(!s(e,r)){for(const n of t)if(!s(n,r))continue n;e.push(r)}return e},e.difference=function(n,...t){const e=f(t);return n.filter(n=>!s(e,n))},e.remove_at=function(n,t){const e=c(n);return e.splice(t,1),e},e.remove_by=function(n,t){for(let e=0;e<n.length;)t(n[e])?n.splice(e,1):e++},e.shuffle=function(n){const t=n.length,e=new Array(t);for(let o=0;o<t;o++){const t=r.randomIn(0,o);t!==o&&(e[o]=e[t]),e[t]=n[o]}return e},e.pairwise=function(n,t){const e=n.length,r=new Array(e-1);for(let o=0;o<e-1;o++)r[o]=t(n[o],n[o+1]);return r},e.reversed=function(n){const t=n.length,e=new Array(t);for(let r=0;r<t;r++)e[t-r-1]=n[r];return e},e.repeat=function(n,t){const e=new Array(t);for(let r=0;r<t;r++)e[r]=n;return e}},\n",
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+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});class o extends Error{}n.AssertionError=o,o.__name__=\"AssertionError\",n.assert=function(e,r){if(!(!0===e||!1!==e&&e()))throw new o(null!=r?r:\"Assertion failed\")},n.unreachable=function(){throw new Error(\"unreachable code\")}},\n",
+       "      function _(n,t,e){function r(n,t,e,...r){const o=n.length;t<0&&(t+=o),t<0?t=0:t>o&&(t=o),null==e||e>o-t?e=o-t:e<0&&(e=0);const u=o-e+r.length,i=new n.constructor(u);let f=0;for(;f<t;f++)i[f]=n[f];for(const n of r)i[f++]=n;for(let r=t+e;r<o;r++)i[f++]=n[r];return i}function o(n,t){return r(n,t,n.length-t)}function u(n,t,e){const r=n.length;if(void 0===e&&0==r)throw new Error(\"can't reduce an empty array without an initial value\");let o,u;for(void 0===e?(o=n[0],u=1):(o=e,u=0);u<r;u++)o=t(o,n[u],u,n);return o}function i(n){return function(t,e){const r=t.length;let o=n>0?0:r-1;for(;o>=0&&o<r;o+=n)if(e(t[o]))return o;return-1}}Object.defineProperty(e,\"__esModule\",{value:!0}),e.is_empty=function(n){return 0==n.length},e.splice=r,e.head=o,e.insert=function(n,t,e){return r(n,e,0,t)},e.append=function(n,t){return r(n,n.length,0,t)},e.prepend=function(n,t){return r(n,0,0,t)},e.indexOf=function(n,t){for(let e=0,r=n.length;e<r;e++)if(n[e]===t)return e;return-1},e.map=function(n,t){const e=n.length,r=new n.constructor(e);for(let o=0;o<e;o++)r[o]=t(n[o],o,n);return r},e.filter=function(n,t){const e=n.length,r=new n.constructor(e);let u=0;for(let o=0;o<e;o++){const e=n[o];t(e,o,n)&&(r[u++]=e)}return o(r,u)},e.reduce=u,e.min=function(n){let t,e=1/0;for(let r=0,o=n.length;r<o;r++)t=n[r],t<e&&(e=t);return e},e.min_by=function(n,t){if(0==n.length)throw new Error(\"min_by() called with an empty array\");let e=n[0],r=t(e);for(let o=1,u=n.length;o<u;o++){const u=n[o],i=t(u);i<r&&(e=u,r=i)}return e},e.max=function(n){let t,e=-1/0;for(let r=0,o=n.length;r<o;r++)t=n[r],t>e&&(e=t);return e},e.max_by=function(n,t){if(0==n.length)throw new Error(\"max_by() called with an empty array\");let e=n[0],r=t(e);for(let o=1,u=n.length;o<u;o++){const u=n[o],i=t(u);i>r&&(e=u,r=i)}return e},e.sum=function(n){let t=0;for(let e=0,r=n.length;e<r;e++)t+=n[e];return t},e.cumsum=function(n){const t=new n.constructor(n.length);return u(n,(n,e,r)=>t[r]=n+e,0),t},e.every=function(n,t){for(let e=0,r=n.length;e<r;e++)if(!t(n[e]))return!1;return!0},e.some=function(n,t){for(let e=0,r=n.length;e<r;e++)if(t(n[e]))return!0;return!1},e.index_of=function(n,t){for(let e=0,r=n.length;e<r;e++)if(n[e]===t)return e;return-1},e.find_index=i(1),e.find_last_index=i(-1),e.find=function(n,t){const r=e.find_index(n,t);return-1==r?void 0:n[r]},e.find_last=function(n,t){const r=e.find_last_index(n,t);return-1==r?void 0:n[r]},e.sorted_index=function(n,t){let e=0,r=n.length;for(;e<r;){const o=Math.floor((e+r)/2);n[o]<t?e=o+1:r=o}return e}},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),n=e(14),i=e(16),o=r.__importStar(e(18)),c=r.__importStar(e(23)),a=e(24),_=e(9),u=e(17),h=e(8),f=e(25),l=e(5),p=e(26),d=e(27);class y extends(n.Signalable()){constructor(e={}){var t;super(),this._subtype=void 0,this.document=null,this.destroyed=new n.Signal0(this,\"destroyed\"),this.change=new n.Signal0(this,\"change\"),this.transformchange=new n.Signal0(this,\"transformchange\"),this.properties={},this._pending=!1,this._changing=!1;const s=e instanceof Map?e.get:t=>e[t];for(const[e,{type:t,default_value:r,options:n}]of u.entries(this._props)){if(null==t)throw new Error(`undefined property type for ${this.type}.${e}`);this.properties[e]=new t(this,e,r,s(e),n)}null!==(t=s(\"__deferred__\"))&&void 0!==t&&t||(this.finalize(),this.connect_signals())}set type(e){console.warn(\"prototype.type = 'ModelName' is deprecated, use static __name__ instead\"),this.constructor.__name__=e}get type(){return this.constructor.__qualified__}static get __qualified__(){const{__module__:e,__name__:t}=this;return null!=e?`${e}.${t}`:t}static init_HasProps(){this.prototype._props={},this.prototype._mixins=[],this.define({id:[o.String,()=>a.uniqueId()]})}static _fix_default(e,t){return void 0===e?void 0:h.isFunction(e)?e:h.isObject(e)?h.isArray(e)?()=>_.copy(e):()=>u.clone(e):()=>e}static define(e){for(const[t,s]of u.entries(e)){if(null!=this.prototype._props[t])throw new Error(`attempted to redefine property '${this.prototype.type}.${t}'`);if(null!=this.prototype[t])throw new Error(`attempted to redefine attribute '${this.prototype.type}.${t}'`);Object.defineProperty(this.prototype,t,{get(){return this.properties[t].get_value()},set(e){return this.setv({[t]:e}),this},configurable:!1,enumerable:!0});const[e,r,n]=s,i={type:e,default_value:this._fix_default(r,t),options:n},o=u.clone(this.prototype._props);o[t]=i,this.prototype._props=o}}static internal(e){const t={};for(const[s,r]of u.entries(e)){const[e,n,i={}]=r;t[s]=[e,n,Object.assign(Object.assign({},i),{internal:!0})]}this.define(t)}static mixins(e){function t(e){switch(e){case\"line\":return c.LineVector;case\"fill\":return c.FillVector;case\"hatch\":return c.HatchVector;case\"text\":return c.TextVector;default:throw new Error(`Unknown property mixin kind '${e}'`)}}function s(e,t){const s={};for(const[r,n]of u.entries(t))s[e+r]=n;return s}function r(e){const[t]=Object.keys(e),[s]=t.split(\"_\",1);return s}h.isArray(e)||(e=[e]);const n={},i=[];for(const o of e)if(h.isString(o)){const[e,r=\"\"]=o.split(\":\"),c=t(e);i.push(o),u.extend(n,s(r,c))}else if(h.isArray(o)){const[e,t]=o;i.push(`${r(t)}:${e}`),u.extend(n,s(e,t))}else{const e=o;i.push(r(e)),u.extend(n,e)}this.define(n),this.prototype._mixins=[...this.prototype._mixins,...i]}static override(e){for(const[t,s]of u.entries(e)){const e=this._fix_default(s,t),r=this.prototype._props[t];if(null==r)throw new Error(`attempted to override nonexistent '${this.prototype.type}.${t}'`);const n=u.clone(this.prototype._props);n[t]=Object.assign(Object.assign({},r),{default_value:e}),this.prototype._props=n}}toString(){return`${this.type}(${this.id})`}property(e){const t=this.properties[e];if(null!=t)return t;throw new Error(`unknown property ${this.type}.${e}`)}get attributes(){const e={};for(const t of this)e[t.attr]=t.get_value();return e}finalize(){for(const e of this)null!=e.spec.transform&&this.connect(e.spec.transform.change,()=>this.transformchange.emit());this.initialize()}initialize(){}connect_signals(){}disconnect_signals(){n.Signal.disconnectReceiver(this)}destroy(){this.disconnect_signals(),this.destroyed.emit()}clone(){return new this.constructor(this.attributes)}_setv(e,t){const s=t.check_eq,r=t.silent,n=[],i=this._changing;this._changing=!0;for(const[t,r]of e)!1!==s&&f.isEqual(t.get_value(),r)||(t.set_value(r),n.push(t));if(!r){n.length>0&&(this._pending=!0);for(const e of n)e.change.emit()}if(!i){if(!r&&!t.no_change)for(;this._pending;)this._pending=!1,this.change.emit();this._pending=!1,this._changing=!1}}setv(e,t={}){if(u.isEmpty(e))return;const s=new Map,r=new Map;for(const t in e){if(!e.hasOwnProperty(t))continue;const n=this.properties[t];if(null==n)throw new Error(`property ${this.type}.${t} wasn't declared`);const i=e[t];s.set(n,i),r.set(n,n.get_value())}this._setv(s,t);const{document:n}=this;if(null!=n){const e=[];for(const[t,s]of r)e.push([t,s,t.get_value()]);for(const[,t,s]of e)if(this._needs_invalidate(t,s)){n._invalidate_all_models();break}!0!==t.silent&&this._push_changes(e,t)}}getv(e){return this.property(e).get_value()}ref(){return{id:this.id}}struct(){const e={type:this.type,id:this.id,attributes:{}};return null!=this._subtype&&(e.subtype=this._subtype),e}set_subtype(e){this._subtype=e}*[Symbol.iterator](){for(const e in this.properties)yield this.properties[e]}*syncable_properties(){for(const e of this)e.syncable&&(yield e)}serializable_attributes(){const e={};for(const t of this.syncable_properties())e[t.attr]=t.get_value();return e}static _value_to_json(e){if(e instanceof y)return e.ref();if(p.is_NDArray(e))return d.encode_NDArray(e);if(h.isArray(e)||h.isTypedArray(e)){const t=e.length,s=new Array(t);for(let r=0;r<t;r++){const t=e[r];s[r]=y._value_to_json(t)}return s}if(h.isPlainObject(e)){const t={};for(const s in e)e.hasOwnProperty(s)&&(t[s]=y._value_to_json(e[s]));return t}return e}attributes_as_json(e=!0,t=y._value_to_json){const s={};for(const r of this)r.syncable&&(e||r.dirty)&&(s[r.attr]=t(r.get_value()));return s}static _json_record_references(e,t,s,r){const{recursive:n}=r;if(i.is_ref(t)){const r=e.get_model_by_id(t.id);null==r||s.has(r)||y._value_record_references(r,s,{recursive:n})}else if(h.isArray(t))for(const r of t)y._json_record_references(e,r,s,{recursive:n});else if(h.isPlainObject(t))for(const r in t)if(t.hasOwnProperty(r)){const i=t[r];y._json_record_references(e,i,s,{recursive:n})}}static _value_record_references(e,t,s){const{recursive:r}=s;if(e instanceof y){if(!t.has(e)&&(t.add(e),r)){const s=e._immediate_references();for(const e of s)y._value_record_references(e,t,{recursive:!0})}}else if(h.isArray(e))for(const s of e)y._value_record_references(s,t,{recursive:r});else if(h.isPlainObject(e))for(const s in e)if(e.hasOwnProperty(s)){const n=e[s];y._value_record_references(n,t,{recursive:r})}}_immediate_references(){const e=new Set;for(const t of this.syncable_properties()){const s=t.get_value();y._value_record_references(s,e,{recursive:!1})}return[...e.values()]}references(){const e=new Set;return y._value_record_references(this,e,{recursive:!0}),e}_doc_attached(){}_doc_detached(){}attach_document(e){if(null!=this.document&&this.document!=e)throw new Error(\"models must be owned by only a single document\");this.document=e,this._doc_attached()}detach_document(){this._doc_detached(),this.document=null}_needs_invalidate(e,t){const s=new Set;y._value_record_references(t,s,{recursive:!1});const r=new Set;y._value_record_references(e,r,{recursive:!1});for(const e of s)if(!r.has(e))return!0;for(const e of r)if(!s.has(e))return!0;return!1}_push_changes(e,t={}){const{document:s}=this;if(null==s)return;const{setter_id:r}=t,n=[];for(const[t,i,o]of e)t.syncable&&n.push(new l.ModelChangedEvent(s,this,t.attr,i,o,r));if(0!=n.length){let e;1==n.length?[e]=n:e=new l.DocumentEventBatch(s,n,r),s._trigger_on_change(e)}}materialize_dataspecs(e){const t={};for(const s of this){if(!(s instanceof o.VectorSpec))continue;if(s.optional&&null==s.spec.value&&!s.dirty)continue;const r=s.attr,n=s.array(e);t[\"_\"+r]=n,s instanceof o.DistanceSpec&&(t[\"max_\"+r]=_.max(n))}return t}on_change(e,t){for(const s of h.isArray(e)?e:[e])this.connect(s.change,t)}}s.HasProps=y,y.init_HasProps()},\n",
+       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=n(15),l=n(9);class o{constructor(n,t){this.sender=n,this.name=t}connect(n,t=null){c.has(this.sender)||c.set(this.sender,[]);const e=c.get(this.sender);if(null!=u(e,this,n,t))return!1;const s=t||n;r.has(s)||r.set(s,[]);const l=r.get(s),o={signal:this,slot:n,context:t};return e.push(o),l.push(o),!0}disconnect(n,t=null){const e=c.get(this.sender);if(null==e||0===e.length)return!1;const s=u(e,this,n,t);if(null==s)return!1;const l=t||n,o=r.get(l);return s.signal=null,f(e),f(o),!0}emit(n){const t=c.get(this.sender)||[];for(const{signal:e,slot:s,context:l}of t)e===this&&s.call(l,n,this.sender)}}e.Signal=o,o.__name__=\"Signal\";class i extends o{emit(){super.emit(void 0)}}e.Signal0=i,i.__name__=\"Signal0\",function(n){n.disconnectBetween=function(n,t){const e=c.get(n);if(null==e||0===e.length)return;const s=r.get(t);if(null!=s&&0!==s.length){for(const t of s){if(null==t.signal)return;t.signal.sender===n&&(t.signal=null)}f(e),f(s)}},n.disconnectSender=function(n){const t=c.get(n);if(null!=t&&0!==t.length){for(const n of t){if(null==n.signal)return;const t=n.context||n.slot;n.signal=null,f(r.get(t))}f(t)}},n.disconnectReceiver=function(n){const t=r.get(n);if(null!=t&&0!==t.length){for(const n of t){if(null==n.signal)return;const t=n.signal.sender;n.signal=null,f(c.get(t))}f(t)}},n.disconnectAll=function(n){const t=c.get(n);if(null!=t&&0!==t.length){for(const n of t)n.signal=null;f(t)}const e=r.get(n);if(null!=e&&0!==e.length){for(const n of e)n.signal=null;f(e)}}}(o||(e.Signal=o={})),e.Signalable=function(){return class{connect(n,t){return n.connect(t,this)}disconnect(n,t){return n.disconnect(t,this)}}};const c=new WeakMap,r=new WeakMap;function u(n,t,e,s){return l.find(n,n=>n.signal===t&&n.slot===e&&n.context===s)}const g=new Set;function f(n){0===g.size&&s.defer(a),g.add(n)}function a(){for(const n of g)l.remove_by(n,n=>null==n.signal);g.clear()}},\n",
+       "      function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.delay=\n",
+       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
+       "      //     Underscore may be freely distributed under the MIT license.\n",
+       "      function(n,e){return setTimeout(n,e)};const u=\"function\"==typeof requestAnimationFrame?requestAnimationFrame:setImmediate;t.defer=function(n){return new Promise(e=>{u(()=>e(n()))})},t.throttle=function(n,e,t={}){let u,o,i,r=null,l=0;const c=function(){l=!1===t.leading?0:Date.now(),r=null,i=n.apply(u,o),r||(u=o=null)};return function(){const a=Date.now();l||!1!==t.leading||(l=a);const f=e-(a-l);return u=this,o=arguments,f<=0||f>e?(r&&(clearTimeout(r),r=null),l=a,i=n.apply(u,o),r||(u=o=null)):r||!1===t.trailing||(r=setTimeout(c,f)),i}},t.once=function(n){let e,t=!1;return function(){return t||(t=!0,e=n()),e}}},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(8),r=e(17);t.is_ref=function(e){if(i.isPlainObject(e)){const n=r.keys(e);return 1==n.length&&\"id\"==n[0]}return!1}},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const c=e(9);function o(e){return Object.keys(e).length}n.keys=Object.keys,n.values=Object.values,n.entries=Object.entries,n.extend=Object.assign,n.clone=function(e){return Object.assign({},e)},n.merge=function(e,t){const n=Object.create(Object.prototype),o=c.concat([Object.keys(e),Object.keys(t)]);for(const s of o){const o=e.hasOwnProperty(s)?e[s]:[],r=t.hasOwnProperty(s)?t[s]:[];n[s]=c.union(o,r)}return n},n.size=o,n.isEmpty=function(e){return 0==o(e)},n.to_object=function(e){const t={};for(const[n,c]of e)t[n]=c;return t}},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(14),s=i.__importStar(e(19)),r=e(9),l=e(12),o=e(20),_=e(8),c=e(22);function u(e){try{return JSON.stringify(e)}catch(t){return e.toString()}}function d(e){return _.isPlainObject(e)&&(void 0===e.value?0:1)+(void 0===e.field?0:1)+(void 0===e.expr?0:1)==1}n.isSpec=d;class p{constructor(e,t,n,i,s={}){var r,l;let o;if(this.obj=e,this.attr=t,this.default_value=n,this._dirty=!1,this.change=new a.Signal0(this.obj,\"change\"),this.internal=null!==(r=s.internal)&&void 0!==r&&r,this.optional=null!==(l=s.optional)&&void 0!==l&&l,void 0!==i)o=i,this._dirty=!0;else{const t=this._default_override();o=void 0!==t?t:void 0!==n?n(e):null}this._update(o)}get syncable(){return!this.internal}get_value(){return this.spec.value}set_value(e){this._update(e),this._dirty=!0}_default_override(){}get dirty(){return this._dirty}_update(e){null!=e&&this.validate(e),this.spec={value:e}}toString(){return`Prop(${this.obj}.${this.attr}, spec: ${u(this.spec)})`}normalize(e){return e}validate(e){if(!this.valid(e))throw new Error(`${this.obj.type}.${this.attr} given invalid value: ${u(e)}`)}valid(e){return!0}value(e=!0){if(void 0===this.spec.value)throw new Error(\"attempted to retrieve property value for property without value specification\");let t=this.normalize([this.spec.value])[0];return null!=this.spec.transform&&e&&(t=this.spec.transform.compute(t)),t}}n.Property=p,p.__name__=\"Property\";class S extends p{}n.Any=S,S.__name__=\"Any\";class h extends p{valid(e){return _.isArray(e)||e instanceof Float64Array}}n.Array=h,h.__name__=\"Array\";class m extends p{valid(e){return _.isBoolean(e)}}n.Boolean=m,m.__name__=\"Boolean\";class v extends p{valid(e){return _.isString(e)&&o.is_color(e)}}n.Color=v,v.__name__=\"Color\";class g extends p{}n.Instance=g,g.__name__=\"Instance\";class x extends 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+       "      //     Underscore may be freely distributed under the MIT license.\n",
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+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importStar(t(32)),o=t(17),_=t(65),a=n.__importDefault(t(73));class r extends _.RendererView{get panel(){return this.layout}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.visible,()=>this.plot_view.request_layout())}styles(){return[...super.styles(),a.default]}get_size(){if(this.model.visible){const{width:t,height:e}=this._get_size();return{width:Math.round(t),height:Math.round(e)}}return{width:0,height:0}}_get_size(){throw new Error(\"not implemented\")}set_data(t){const e=this.model.materialize_dataspecs(t);if(o.extend(this,e),this.plot_model.use_map){const t=this;null!=t._x&&([t._x,t._y]=i.project_xy(t._x,t._y)),null!=t._xs&&([t._xs,t._ys]=i.project_xsys(t._xs,t._ys))}}get needs_clip(){return null==this.layout}serializable_state(){const t=super.serializable_state();return null==this.layout?t:Object.assign(Object.assign({},t),{bbox:this.layout.bbox.box})}}s.AnnotationView=r,r.__name__=\"AnnotationView\";class l extends _.Renderer{constructor(t){super(t)}static init_Annotation(){this.override({level:\"annotation\"})}}s.Annotation=l,l.__name__=\"Annotation\",l.init_Annotation()},\n",
+       "      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),o=r.__importDefault(t(33)),a=r.__importDefault(t(34)),c=new a.default(\"GOOGLE\"),l=new a.default(\"WGS84\");e.wgs84_mercator=o.default(l,c);const u={lon:[-20026376.39,20026376.39],lat:[-20048966.1,20048966.1]},f={lon:[-180,180],lat:[-85.06,85.06]};function s(t,n){const r=Math.min(t.length,n.length),o=new Array(r),a=new Array(r);for(let c=0;c<r;c++){const[r,l]=e.wgs84_mercator.forward([t[c],n[c]]);o[c]=r,a[c]=l}return[o,a]}e.clip_mercator=function(t,n,e){const[r,o]=u[e];return[Math.max(t,r),Math.min(n,o)]},e.in_bounds=function(t,n){const[e,r]=f[n];return e<t&&t<r},e.project_xy=s,e.project_xsys=function(t,n){const e=Math.min(t.length,n.length),r=new Array(e),o=new Array(e);for(let a=0;a<e;a++){const[e,c]=s(t[a],n[a]);r[a]=e,o[a]=c}return[r,o]}},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(1),o=r.__importDefault(e(34)),a=r.__importDefault(e(59));var i=o.default(\"WGS84\");function c(e,n,t){var r,o,i;return Array.isArray(t)?(r=a.default(e,n,t)||{x:NaN,y:NaN},t.length>2?void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name?\"number\"==typeof r.z?[r.x,r.y,r.z].concat(t.splice(3)):[r.x,r.y,t[2]].concat(t.splice(3)):[r.x,r.y].concat(t.splice(2)):[r.x,r.y]):(o=a.default(e,n,t),2===(i=Object.keys(t)).length||i.forEach((function(r){if(void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name){if(\"x\"===r||\"y\"===r||\"z\"===r)return}else if(\"x\"===r||\"y\"===r)return;o[r]=t[r]})),o)}function u(e){return e instanceof o.default?e:e.oProj?e.oProj:o.default(e)}t.default=function(e,n,t){e=u(e);var r,o=!1;return void 0===n?(n=e,e=i,o=!0):(void 0!==n.x||Array.isArray(n))&&(t=n,n=e,e=i,o=!0),n=u(n),t?c(e,n,t):(r={forward:function(t){return c(e,n,t)},inverse:function(t){return c(n,e,t)}},o&&(r.oProj=n),r)}},\n",
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+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const u=t(1),n=u.__importDefault(t(36)),f=u.__importDefault(t(43)),i=u.__importDefault(t(38)),a=u.__importDefault(t(42));var o=[\"PROJECTEDCRS\",\"PROJCRS\",\"GEOGCS\",\"GEOCCS\",\"PROJCS\",\"LOCAL_CS\",\"GEODCRS\",\"GEODETICCRS\",\"GEODETICDATUM\",\"ENGCRS\",\"ENGINEERINGCRS\"];var l=[\"3857\",\"900913\",\"3785\",\"102113\"];r.default=function(t){if(!function(t){return\"string\"==typeof t}(t))return t;if(function(t){return t in n.default}(t))return n.default[t];if(function(t){return o.some((function(e){return t.indexOf(e)>-1}))}(t)){var e=f.default(t);if(function(t){var e=a.default(t,\"authority\");if(e){var r=a.default(e,\"epsg\");return r&&l.indexOf(r)>-1}}(e))return n.default[\"EPSG:3857\"];var r=function(t){var e=a.default(t,\"extension\");if(e)return a.default(e,\"proj4\")}(e);return r?i.default(r):e}return function(t){return\"+\"===t[0]}(t)?i.default(t):void 0}},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),n=i.__importDefault(t(37)),f=i.__importDefault(t(38)),a=i.__importDefault(t(43));function l(t){var e=this;if(2===arguments.length){var r=arguments[1];\"string\"==typeof r?\"+\"===r.charAt(0)?l[t]=f.default(arguments[1]):l[t]=a.default(arguments[1]):l[t]=r}else if(1===arguments.length){if(Array.isArray(t))return t.map((function(t){Array.isArray(t)?l.apply(e,t):l(t)}));if(\"string\"==typeof t){if(t in l)return l[t]}else\"EPSG\"in t?l[\"EPSG:\"+t.EPSG]=t:\"ESRI\"in t?l[\"ESRI:\"+t.ESRI]=t:\"IAU2000\"in t?l[\"IAU2000:\"+t.IAU2000]=t:console.log(t);return}}n.default(l),r.default=l},\n",
+       "      function _(e,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.default=function(e){e(\"EPSG:4326\",\"+title=WGS 84 (long/lat) +proj=longlat +ellps=WGS84 +datum=WGS84 +units=degrees\"),e(\"EPSG:4269\",\"+title=NAD83 (long/lat) +proj=longlat +a=6378137.0 +b=6356752.31414036 +ellps=GRS80 +datum=NAD83 +units=degrees\"),e(\"EPSG:3857\",\"+title=WGS 84 / Pseudo-Mercator +proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +no_defs\"),e.WGS84=e[\"EPSG:4326\"],e[\"EPSG:3785\"]=e[\"EPSG:3857\"],e.GOOGLE=e[\"EPSG:3857\"],e[\"EPSG:900913\"]=e[\"EPSG:3857\"],e[\"EPSG:102113\"]=e[\"EPSG:3857\"]}},\n",
+       "      function _(t,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),a=t(39),u=e.__importDefault(t(40)),r=e.__importDefault(t(41)),i=e.__importDefault(t(42));o.default=function(t){var n,o,e,f={},l=t.split(\"+\").map((function(t){return t.trim()})).filter((function(t){return t})).reduce((function(t,n){var o=n.split(\"=\");return o.push(!0),t[o[0].toLowerCase()]=o[1],t}),{}),c={proj:\"projName\",datum:\"datumCode\",rf:function(t){f.rf=parseFloat(t)},lat_0:function(t){f.lat0=t*a.D2R},lat_1:function(t){f.lat1=t*a.D2R},lat_2:function(t){f.lat2=t*a.D2R},lat_ts:function(t){f.lat_ts=t*a.D2R},lon_0:function(t){f.long0=t*a.D2R},lon_1:function(t){f.long1=t*a.D2R},lon_2:function(t){f.long2=t*a.D2R},alpha:function(t){f.alpha=parseFloat(t)*a.D2R},lonc:function(t){f.longc=t*a.D2R},x_0:function(t){f.x0=parseFloat(t)},y_0:function(t){f.y0=parseFloat(t)},k_0:function(t){f.k0=parseFloat(t)},k:function(t){f.k0=parseFloat(t)},a:function(t){f.a=parseFloat(t)},b:function(t){f.b=parseFloat(t)},r_a:function(){f.R_A=!0},zone:function(t){f.zone=parseInt(t,10)},south:function(){f.utmSouth=!0},towgs84:function(t){f.datum_params=t.split(\",\").map((function(t){return parseFloat(t)}))},to_meter:function(t){f.to_meter=parseFloat(t)},units:function(t){f.units=t;var n=i.default(r.default,t);n&&(f.to_meter=n.to_meter)},from_greenwich:function(t){f.from_greenwich=t*a.D2R},pm:function(t){var n=i.default(u.default,t);f.from_greenwich=(n||parseFloat(t))*a.D2R},nadgrids:function(t){\"@null\"===t?f.datumCode=\"none\":f.nadgrids=t},axis:function(t){3===t.length&&-1!==\"ewnsud\".indexOf(t.substr(0,1))&&-1!==\"ewnsud\".indexOf(t.substr(1,1))&&-1!==\"ewnsud\".indexOf(t.substr(2,1))&&(f.axis=t)}};for(n in l)o=l[n],n in c?\"function\"==typeof(e=c[n])?e(o):f[e]=o:f[n]=o;return\"string\"==typeof f.datumCode&&\"WGS84\"!==f.datumCode&&(f.datumCode=f.datumCode.toLowerCase()),f}},\n",
+       "      function _(P,_,e){Object.defineProperty(e,\"__esModule\",{value:!0}),e.PJD_3PARAM=1,e.PJD_7PARAM=2,e.PJD_WGS84=4,e.PJD_NODATUM=5,e.SEC_TO_RAD=484813681109536e-20,e.HALF_PI=Math.PI/2,e.SIXTH=.16666666666666666,e.RA4=.04722222222222222,e.RA6=.022156084656084655,e.EPSLN=1e-10,e.D2R=.017453292519943295,e.R2D=57.29577951308232,e.FORTPI=Math.PI/4,e.TWO_PI=2*Math.PI,e.SPI=3.14159265359},\n",
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+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const o=e(1);const d=o.__importDefault(e(44)),r=e(45);function n(e){return.017453292519943295*e}a.default=function(e){var t=d.default(e),a=t.shift(),o=t.shift();t.unshift([\"name\",o]),t.unshift([\"type\",a]);var l={};return r.sExpr(t,l),function(e){if(\"GEOGCS\"===e.type?e.projName=\"longlat\":\"LOCAL_CS\"===e.type?(e.projName=\"identity\",e.local=!0):\"object\"==typeof e.PROJECTION?e.projName=Object.keys(e.PROJECTION)[0]:e.projName=e.PROJECTION,e.AXIS){for(var t=\"\",a=0,o=e.AXIS.length;a<o;++a){var d=e.AXIS[a][0].toLowerCase();-1!==d.indexOf(\"north\")?t+=\"n\":-1!==d.indexOf(\"south\")?t+=\"s\":-1!==d.indexOf(\"east\")?t+=\"e\":-1!==d.indexOf(\"west\")&&(t+=\"w\")}2===t.length&&(t+=\"u\"),3===t.length&&(e.axis=t)}e.UNIT&&(e.units=e.UNIT.name.toLowerCase(),\"metre\"===e.units&&(e.units=\"meter\"),e.UNIT.convert&&(\"GEOGCS\"===e.type?e.DATUM&&e.DATUM.SPHEROID&&(e.to_meter=e.UNIT.convert*e.DATUM.SPHEROID.a):e.to_meter=e.UNIT.convert));var r=e.GEOGCS;function l(t){return t*(e.to_meter||1)}\"GEOGCS\"===e.type&&(r=e),r&&(r.DATUM?e.datumCode=r.DATUM.name.toLowerCase():e.datumCode=r.name.toLowerCase(),\"d_\"===e.datumCode.slice(0,2)&&(e.datumCode=e.datumCode.slice(2)),\"new_zealand_geodetic_datum_1949\"!==e.datumCode&&\"new_zealand_1949\"!==e.datumCode||(e.datumCode=\"nzgd49\"),\"wgs_1984\"!==e.datumCode&&\"world_geodetic_system_1984\"!==e.datumCode||(\"Mercator_Auxiliary_Sphere\"===e.PROJECTION&&(e.sphere=!0),e.datumCode=\"wgs84\"),\"_ferro\"===e.datumCode.slice(-6)&&(e.datumCode=e.datumCode.slice(0,-6)),\"_jakarta\"===e.datumCode.slice(-8)&&(e.datumCode=e.datumCode.slice(0,-8)),~e.datumCode.indexOf(\"belge\")&&(e.datumCode=\"rnb72\"),r.DATUM&&r.DATUM.SPHEROID&&(e.ellps=r.DATUM.SPHEROID.name.replace(\"_19\",\"\").replace(/[Cc]larke\\_18/,\"clrk\"),\"international\"===e.ellps.toLowerCase().slice(0,13)&&(e.ellps=\"intl\"),e.a=r.DATUM.SPHEROID.a,e.rf=parseFloat(r.DATUM.SPHEROID.rf,10)),r.DATUM&&r.DATUM.TOWGS84&&(e.datum_params=r.DATUM.TOWGS84),~e.datumCode.indexOf(\"osgb_1936\")&&(e.datumCode=\"osgb36\"),~e.datumCode.indexOf(\"osni_1952\")&&(e.datumCode=\"osni52\"),(~e.datumCode.indexOf(\"tm65\")||~e.datumCode.indexOf(\"geodetic_datum_of_1965\"))&&(e.datumCode=\"ire65\"),\"ch1903+\"===e.datumCode&&(e.datumCode=\"ch1903\"),~e.datumCode.indexOf(\"israel\")&&(e.datumCode=\"isr93\")),e.b&&!isFinite(e.b)&&(e.b=e.a),[[\"standard_parallel_1\",\"Standard_Parallel_1\"],[\"standard_parallel_2\",\"Standard_Parallel_2\"],[\"false_easting\",\"False_Easting\"],[\"false_northing\",\"False_Northing\"],[\"central_meridian\",\"Central_Meridian\"],[\"latitude_of_origin\",\"Latitude_Of_Origin\"],[\"latitude_of_origin\",\"Central_Parallel\"],[\"scale_factor\",\"Scale_Factor\"],[\"k0\",\"scale_factor\"],[\"latitude_of_center\",\"Latitude_Of_Center\"],[\"latitude_of_center\",\"Latitude_of_center\"],[\"lat0\",\"latitude_of_center\",n],[\"longitude_of_center\",\"Longitude_Of_Center\"],[\"longitude_of_center\",\"Longitude_of_center\"],[\"longc\",\"longitude_of_center\",n],[\"x0\",\"false_easting\",l],[\"y0\",\"false_northing\",l],[\"long0\",\"central_meridian\",n],[\"lat0\",\"latitude_of_origin\",n],[\"lat0\",\"standard_parallel_1\",n],[\"lat1\",\"standard_parallel_1\",n],[\"lat2\",\"standard_parallel_2\",n],[\"azimuth\",\"Azimuth\"],[\"alpha\",\"azimuth\",n],[\"srsCode\",\"name\"]].forEach((function(t){return a=e,d=(o=t)[0],r=o[1],void(!(d in a)&&r in a&&(a[d]=a[r],3===o.length&&(a[d]=o[2](a[d]))));var a,o,d,r})),e.long0||!e.longc||\"Albers_Conic_Equal_Area\"!==e.projName&&\"Lambert_Azimuthal_Equal_Area\"!==e.projName||(e.long0=e.longc),e.lat_ts||!e.lat1||\"Stereographic_South_Pole\"!==e.projName&&\"Polar Stereographic (variant B)\"!==e.projName||(e.lat0=n(e.lat1>0?90:-90),e.lat_ts=e.lat1)}(l),l}},\n",
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+       "      function _(e,r,a){function s(e,r,a){Array.isArray(r)&&(a.unshift(r),r=null);var s=r?{}:e,n=a.reduce((function(e,r){return c(r,e),e}),s);r&&(e[r]=n)}function c(e,r){if(Array.isArray(e)){var a=e.shift();if(\"PARAMETER\"===a&&(a=e.shift()),1===e.length)return Array.isArray(e[0])?(r[a]={},void c(e[0],r[a])):void(r[a]=e[0]);if(e.length)if(\"TOWGS84\"!==a){if(\"AXIS\"===a)return a in r||(r[a]=[]),void r[a].push(e);var n;switch(Array.isArray(a)||(r[a]={}),a){case\"UNIT\":case\"PRIMEM\":case\"VERT_DATUM\":return r[a]={name:e[0].toLowerCase(),convert:e[1]},void(3===e.length&&c(e[2],r[a]));case\"SPHEROID\":case\"ELLIPSOID\":return r[a]={name:e[0],a:e[1],rf:e[2]},void(4===e.length&&c(e[3],r[a]));case\"PROJECTEDCRS\":case\"PROJCRS\":case\"GEOGCS\":case\"GEOCCS\":case\"PROJCS\":case\"LOCAL_CS\":case\"GEODCRS\":case\"GEODETICCRS\":case\"GEODETICDATUM\":case\"EDATUM\":case\"ENGINEERINGDATUM\":case\"VERT_CS\":case\"VERTCRS\":case\"VERTICALCRS\":case\"COMPD_CS\":case\"COMPOUNDCRS\":case\"ENGINEERINGCRS\":case\"ENGCRS\":case\"FITTED_CS\":case\"LOCAL_DATUM\":case\"DATUM\":return e[0]=[\"name\",e[0]],void s(r,a,e);default:for(n=-1;++n<e.length;)if(!Array.isArray(e[n]))return c(e,r[a]);return s(r,a,e)}}else r[a]=e;else r[a]=!0}else r[e]=!0}Object.defineProperty(a,\"__esModule\",{value:!0}),a.sExpr=c},\n",
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+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=e(1),n=e(39),f=a.__importStar(e(56)),u=a.__importDefault(e(42));r.eccentricity=function(e,t,r,a){var f=e*e,u=t*t,i=(f-u)/f,c=0;return a?(f=(e*=1-i*(n.SIXTH+i*(n.RA4+i*n.RA6)))*e,i=0):c=Math.sqrt(i),{es:i,e:c,ep2:(f-u)/u}},r.sphere=function(e,t,r,a,i){if(!e){var c=u.default(f.default,a);c||(c=f.WGS84),e=c.a,t=c.b,r=c.rf}return r&&!t&&(t=(1-1/r)*e),(0===r||Math.abs(e-t)<n.EPSLN)&&(i=!0,t=e),{a:e,b:t,rf:r,sphere:i}}},\n",
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+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),c=s.__importStar(e(23)),l=s.__importStar(e(18)),i=e(20),h=e(12);function o(e,t,a){e.moveTo(0,a+.5),e.lineTo(t,a+.5),e.stroke()}function r(e,t,a){e.moveTo(a+.5,0),e.lineTo(a+.5,t),e.stroke()}function n(e,t){e.moveTo(0,t),e.lineTo(t,0),e.stroke(),e.moveTo(0,0),e.lineTo(t,t),e.stroke()}function _(e,t,a,s){const c=a,l=c/2,i=l/2,h=function(e){const t=document.createElement(\"canvas\");return t.width=e,t.height=e,t}(a),_=h.getContext(\"2d\");switch(_.strokeStyle=t,_.lineCap=\"square\",_.fillStyle=t,_.lineWidth=s,e){case\" 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a=.1*t,s=l+e*a*Math.cos(a),c=l+e*a*Math.sin(a);_.lineTo(s,c)}_.stroke();break;case\"/\":case\"right_diagonal_line\":_.moveTo(.5-i,c),_.lineTo(i+.5,0),_.stroke(),_.moveTo(i+.5,c),_.lineTo(3*i+.5,0),_.stroke(),_.moveTo(3*i+.5,c),_.lineTo(5*i+.5,0),_.stroke(),_.stroke();break;case\"\\\\\":case\"left_diagonal_line\":_.moveTo(i+.5,c),_.lineTo(.5-i,0),_.stroke(),_.moveTo(3*i+.5,c),_.lineTo(i+.5,0),_.stroke(),_.moveTo(5*i+.5,c),_.lineTo(3*i+.5,0),_.stroke(),_.stroke();break;case\"x\":case\"diagonal_cross\":n(_,c);break;case\",\":case\"right_diagonal_dash\":_.moveTo(i+.5,3*i+.5),_.lineTo(3*i+.5,i+.5),_.stroke();break;case\"`\":case\"left_diagonal_dash\":_.moveTo(i+.5,i+.5),_.lineTo(3*i+.5,3*i+.5),_.stroke();break;case\"v\":case\"horizontal_wave\":_.moveTo(0,i),_.lineTo(l,3*i),_.lineTo(c,i),_.stroke();break;case\">\":case\"vertical_wave\":_.moveTo(i,0),_.lineTo(3*i,l),_.lineTo(i,c),_.stroke();break;case\"*\":case\"criss_cross\":n(_,c),o(_,c,l),r(_,c,l)}return h}class u{constructor(e,t=\"\"){this.obj=e,this.prefix=t,this.cache={};for(const a of this.attrs)this[a]=e.properties[t+a]}warm_cache(e){for(const t of this.attrs){const a=this.obj.properties[this.prefix+t];if(void 0!==a.spec.value)this.cache[t]=a.spec.value;else{if(!(null!=e&&a instanceof l.VectorSpec))throw new Error(\"source is required with a vectorized visual property\");this.cache[t+\"_array\"]=a.array(e)}}}cache_select(e,t){const a=this.obj.properties[this.prefix+e];let s;return void 0!==a.spec.value?this.cache[e]=s=a.spec.value:this.cache[e]=s=this.cache[e+\"_array\"][t],s}get_array(e){const t=this.cache[e+\"_array\"];return null!=this.all_indices?h.map(this.all_indices,e=>t[e]):t}set_vectorize(e,t){null!=this.all_indices?this._set_vectorize(e,this.all_indices[t]):this._set_vectorize(e,t)}}a.ContextProperties=u,u.__name__=\"ContextProperties\";class p extends u{set_value(e){e.strokeStyle=this.line_color.value(),e.globalAlpha=this.line_alpha.value(),e.lineWidth=this.line_width.value(),e.lineJoin=this.line_join.value(),e.lineCap=this.line_cap.value(),e.setLineDash(this.line_dash.value()),e.setLineDashOffset(this.line_dash_offset.value())}get doit(){return!(null===this.line_color.spec.value||0==this.line_alpha.spec.value||0==this.line_width.spec.value)}_set_vectorize(e,t){this.cache_select(\"line_color\",t),e.strokeStyle=this.cache.line_color,this.cache_select(\"line_alpha\",t),e.globalAlpha=this.cache.line_alpha,this.cache_select(\"line_width\",t),e.lineWidth=this.cache.line_width,this.cache_select(\"line_join\",t),e.lineJoin=this.cache.line_join,this.cache_select(\"line_cap\",t),e.lineCap=this.cache.line_cap,this.cache_select(\"line_dash\",t),e.setLineDash(this.cache.line_dash),this.cache_select(\"line_dash_offset\",t),e.setLineDashOffset(this.cache.line_dash_offset)}color_value(){return i.color2css(this.line_color.value(),this.line_alpha.value())}}a.Line=p,p.__name__=\"Line\",p.prototype.attrs=Object.keys(c.LineVector);class v extends u{set_value(e){e.fillStyle=this.fill_color.value(),e.globalAlpha=this.fill_alpha.value()}get doit(){return!(null===this.fill_color.spec.value||0==this.fill_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"fill_color\",t),e.fillStyle=this.cache.fill_color,this.cache_select(\"fill_alpha\",t),e.globalAlpha=this.cache.fill_alpha}color_value(){return i.color2css(this.fill_color.value(),this.fill_alpha.value())}}a.Fill=v,v.__name__=\"Fill\",v.prototype.attrs=Object.keys(c.FillVector);class f extends u{cache_select(e,t){let a;if(\"pattern\"==e){this.cache_select(\"hatch_color\",t),this.cache_select(\"hatch_scale\",t),this.cache_select(\"hatch_pattern\",t),this.cache_select(\"hatch_weight\",t);const{hatch_color:e,hatch_scale:a,hatch_pattern:s,hatch_weight:c,hatch_extra:l}=this.cache;if(null!=l&&l.hasOwnProperty(s)){const t=l[s];this.cache.pattern=t.get_pattern(e,a,c)}else this.cache.pattern=t=>{const l=_(s,e,a,c);return t.createPattern(l,\"repeat\")}}else a=super.cache_select(e,t);return a}_try_defer(e){const{hatch_pattern:t,hatch_extra:a}=this.cache;if(null!=a&&a.hasOwnProperty(t)){a[t].onload(e)}}get doit(){return!(null===this.hatch_color.spec.value||0==this.hatch_alpha.spec.value||\" \"==this.hatch_pattern.spec.value||\"blank\"==this.hatch_pattern.spec.value||null===this.hatch_pattern.spec.value)}doit2(e,t,a,s){if(!this.doit)return;this.cache_select(\"pattern\",t),null==this.cache.pattern(e)?this._try_defer(s):(this.set_vectorize(e,t),a())}_set_vectorize(e,t){this.cache_select(\"pattern\",t),e.fillStyle=this.cache.pattern(e),this.cache_select(\"hatch_alpha\",t),e.globalAlpha=this.cache.hatch_alpha}color_value(){return i.color2css(this.hatch_color.value(),this.hatch_alpha.value())}}a.Hatch=f,f.__name__=\"Hatch\",f.prototype.attrs=Object.keys(c.HatchVector);class d extends u{color_value(){return i.color2css(this.text_color.value(),this.text_alpha.value())}font_value(){const e=this.text_font.value(),t=this.text_font_size.value();return`${this.text_font_style.value()} ${t} ${e}`}v_font_value(e){super.cache_select(\"text_font_style\",e),super.cache_select(\"text_font_size\",e),super.cache_select(\"text_font\",e);const{text_font_style:t,text_font_size:a,text_font:s}=this.cache;return`${t} ${a} ${s}`}cache_select(e,t){let a;return\"font\"==e?this.cache.font=a=this.v_font_value(t):a=super.cache_select(e,t),a}set_value(e){e.font=this.font_value(),e.fillStyle=this.text_color.value(),e.globalAlpha=this.text_alpha.value(),e.textAlign=this.text_align.value(),e.textBaseline=this.text_baseline.value()}get doit(){return!(null===this.text_color.spec.value||0==this.text_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"font\",t),e.font=this.cache.font,this.cache_select(\"text_color\",t),e.fillStyle=this.cache.text_color,this.cache_select(\"text_alpha\",t),e.globalAlpha=this.cache.text_alpha,this.cache_select(\"text_align\",t),e.textAlign=this.cache.text_align,this.cache_select(\"text_baseline\",t),e.textBaseline=this.cache.text_baseline}}a.Text=d,d.__name__=\"Text\",d.prototype.attrs=Object.keys(c.TextVector);class k{constructor(e){for(const t of e._mixins){const[a,s=\"\"]=t.split(\":\");let c;switch(a){case\"line\":c=p;break;case\"fill\":c=v;break;case\"hatch\":c=f;break;case\"text\":c=d;break;default:throw new Error(\"unknown visual: \"+a)}this[s+a]=new c(e,s)}}warm_cache(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&a.warm_cache(e)}}set_all_indices(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&(a.all_indices=e)}}}a.Visuals=k,k.__name__=\"Visuals\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),c=e(13),i=n.__importStar(e(18)),a=e(8),r=e(17),o=e(72);class l extends c.HasProps{constructor(e){super(e)}static init_Model(){this.define({tags:[i.Array,[]],name:[i.String],js_property_callbacks:[i.Any,{}],js_event_callbacks:[i.Any,{}],subscribed_events:[i.Array,[]]})}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,()=>this._update_property_callbacks()),this.connect(this.properties.js_event_callbacks.change,()=>this._update_event_callbacks()),this.connect(this.properties.subscribed_events.change,()=>this._update_event_callbacks())}_process_event(e){for(const t of this.js_event_callbacks[e.event_name]||[])t.execute(e);null!=this.document&&this.subscribed_events.some(t=>t==e.event_name)&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):o.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of r.entries(this.js_property_callbacks)){const n=s.map(e=>()=>e.execute(this));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){r.isEmpty(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if(a.isString(e))return[...this.references()].filter(t=>t instanceof l&&t.name===e);if(e.prototype instanceof c.HasProps)return[...this.references()].filter(t=>t instanceof e);throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=l,l.__name__=\"Model\",l.init_Model()},\n",
+       "      function _(e,l,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(8),t={};class s{constructor(e,l){this.name=e,this.level=l}}o.LogLevel=s,s.__name__=\"LogLevel\";class g{constructor(e,l=g.INFO){this._name=e,this.set_level(l)}static get levels(){return Object.keys(g.log_levels)}static get(e,l=g.INFO){if(e.length>0){let o=t[e];return null==o&&(t[e]=o=new g(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof s)this._log_level=e;else{if(!n.isString(e)||null==g.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=g.log_levels[e]}const l=`[${this._name}]`;for(const e in g.log_levels){g.log_levels[e].level<this._log_level.level||this._log_level.level===g.OFF.level?this[e]=function(){}:this[e]=r(e,l)}}trace(...e){}debug(...e){}info(...e){}warn(...e){}error(...e){}}function r(e,l){return null!=console[e]?console[e].bind(console,l):null!=console.log?console.log.bind(console,l):function(){}}function i(e){const l=o.logger.level;return n.isString(e)&&null==g.log_levels[e]?(console.log(`[bokeh] unrecognized logging level '${e}' passed to Bokeh.set_log_level(), ignoring`),console.log(\"[bokeh] valid log levels are: \"+g.levels.join(\", \"))):(console.log(`[bokeh] setting log level to: '${n.isString(e)?e:e.level}'`),o.logger.set_level(e)),l}o.Logger=g,g.__name__=\"Logger\",g.TRACE=new s(\"trace\",0),g.DEBUG=new s(\"debug\",1),g.INFO=new s(\"info\",2),g.WARN=new s(\"warn\",6),g.ERROR=new s(\"error\",7),g.FATAL=new s(\"fatal\",8),g.OFF=new s(\"off\",9),g.log_levels={trace:g.TRACE,debug:g.DEBUG,info:g.INFO,warn:g.WARN,error:g.ERROR,fatal:g.FATAL,off:g.OFF},o.logger=g.get(\"bokeh\"),o.set_log_level=i,o.with_log_level=function(e,l){const o=i(e);try{l()}finally{i(o)}}},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-shading {\\n  position: absolute;\\n  display: block;\\n  border: 1px dashed green;\\n}\\n\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),a=t(31),n=t(75),r=t(76),o=t(23),_=i.__importStar(t(18)),l=t(10);class h extends a.AnnotationView{initialize(){super.initialize(),null==this.model.source&&(this.model.source=new r.ColumnDataSource),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.set_data(this.model.source)),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source))}set_data(t){super.set_data(t),this.visuals.warm_cache(t),this.plot_view.request_render()}_map_data(){const{frame:t}=this.plot_view;let e,s,i,a;return\"data\"==this.model.start_units?(e=t.xscales[this.model.x_range_name].v_compute(this._x_start),s=t.yscales[this.model.y_range_name].v_compute(this._y_start)):(e=t.xview.v_compute(this._x_start),s=t.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(i=t.xscales[this.model.x_range_name].v_compute(this._x_end),a=t.yscales[this.model.y_range_name].v_compute(this._y_end)):(i=t.xview.v_compute(this._x_end),a=t.yview.v_compute(this._y_end)),[[e,s],[i,a]]}render(){if(!this.model.visible)return;const{ctx:t}=this.layer;t.save();const[e,s]=this._map_data();null!=this.model.end&&this._arrow_head(t,\"render\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"render\",this.model.start,s,e),t.beginPath();const{x:i,y:a,width:n,height:r}=this.plot_view.frame.bbox;t.rect(i,a,n,r),null!=this.model.end&&this._arrow_head(t,\"clip\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"clip\",this.model.start,s,e),t.closePath(),t.clip(),this._arrow_body(t,e,s),t.restore()}_arrow_head(t,e,s,i,a){for(let n=0,r=this._x_start.length;n<r;n++){const r=Math.PI/2+l.atan2([i[0][n],i[1][n]],[a[0][n],a[1][n]]);t.save(),t.translate(a[0][n],a[1][n]),t.rotate(r),\"render\"==e?s.render(t,n):\"clip\"==e&&s.clip(t,n),t.restore()}}_arrow_body(t,e,s){if(this.visuals.line.doit)for(let i=0,a=this._x_start.length;i<a;i++)this.visuals.line.set_vectorize(t,i),t.beginPath(),t.moveTo(e[0][i],e[1][i]),t.lineTo(s[0][i],s[1][i]),t.stroke()}}s.ArrowView=h,h.__name__=\"ArrowView\";class d extends a.Annotation{constructor(t){super(t)}static init_Arrow(){this.prototype.default_view=h,this.mixins(o.LineVector),this.define({x_start:[_.NumberSpec],y_start:[_.NumberSpec],start_units:[_.SpatialUnits,\"data\"],start:[_.Instance,null],x_end:[_.NumberSpec],y_end:[_.NumberSpec],end_units:[_.SpatialUnits,\"data\"],end:[_.Instance,()=>new n.OpenHead({})],source:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]})}}s.Arrow=d,d.__name__=\"Arrow\",d.init_Arrow()},\n",
+       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),o=i(31),l=i(70),n=i(23),h=t.__importStar(i(18));class a extends o.Annotation{constructor(i){super(i)}static init_ArrowHead(){this.define({size:[h.Number,25]})}initialize(){super.initialize(),this.visuals=new l.Visuals(this)}}s.ArrowHead=a,a.__name__=\"ArrowHead\",a.init_ArrowHead();class r extends a{constructor(i){super(i)}static init_OpenHead(){this.mixins(n.LineVector)}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,0),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.stroke())}}s.OpenHead=r,r.__name__=\"OpenHead\",r.init_OpenHead();class z extends a{constructor(i){super(i)}static init_NormalHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._normal(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._normal(i,e),i.stroke())}_normal(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.closePath()}}s.NormalHead=z,z.__name__=\"NormalHead\",z.init_NormalHead();class _ extends a{constructor(i){super(i)}static init_VeeHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._vee(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._vee(i,e),i.stroke())}_vee(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.closePath()}}s.VeeHead=_,_.__name__=\"VeeHead\",_.init_VeeHead();class c extends a{constructor(i){super(i)}static init_TeeHead(){this.mixins(n.LineVector)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,0),i.lineTo(-.5*this.size,0),i.stroke())}clip(i,e){}}s.TeeHead=c,c.__name__=\"TeeHead\",c.init_TeeHead()},\n",
+       "      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(77),r=s.__importStar(t(18)),i=t(8),l=t(17),a=s.__importStar(t(103)),c=t(104),u=t(105);function h(t,n,e){if(i.isArray(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if(i.isTypedArray(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let i;t.length<e?(i=new t.constructor(e),i.set(t,0)):i=t;for(let t=o,n=r;t<n;t++)i[t-o]=i[t];for(let t=0,e=n.length;t<e;t++)i[t+(r-o)]=n[t];return i}{const e=new t.constructor(n);return a.concat(t,e)}}throw new Error(\"unsupported array types\")}function d(t,n){let e,s,o;return i.isNumber(t)?(e=t,o=t+1,s=1):(e=null!=t.start?t.start:0,o=null!=t.stop?t.stop:n,s=null!=t.step?t.step:1),[e,o,s]}function m(t,n){const e=new Set;let s=!1;for(const[o,r]of n){let n,l,a,c;if(i.isArray(o)){const[s]=o;e.add(s),n=t[s].shape,l=t[s],c=r,2===o.length?(n=[1,n[0]],a=[o[0],0,o[1]]):a=o}else i.isNumber(o)?(c=[r],e.add(o)):(c=r,s=!0),a=[0,0,o],n=[1,t.length],l=t;let u=0;const[h,m,f]=d(a[1],n[0]),[_,p,g]=d(a[2],n[1]);for(let t=h;t<m;t+=f)for(let o=_;o<p;o+=g)s&&e.add(o),l[t*n[1]+o]=c[u],u++}return e}e.stream_to_column=h,e.slice=d,e.patch_to_column=m;class f extends o.ColumnarDataSource{constructor(t){super(t)}static init_ColumnDataSource(){this.define({data:[r.Any,{}]})}stream(t,n,e){const{data:s}=this;for(const e in t)s[e]=h(s[e],t[e],n);if(this.setv({data:s},{silent:!0}),this.streaming.emit(),null!=this.document){const s=new u.ColumnsStreamedEvent(this.document,this.ref(),t,n);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:s})}}patch(t,n){const{data:e}=this;let s=new Set;for(const[n,o]of l.entries(t))s=c.union(s,m(e[n],o));if(this.setv({data:e},{silent:!0}),this.patching.emit([...s]),null!=this.document){const e=new u.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:e})}}}e.ColumnDataSource=f,f.__name__=\"ColumnDataSource\",f.init_ColumnDataSource()},\n",
+       "      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(78),i=t(14),r=t(72),c=t(80),l=a.__importStar(t(18)),o=t(8),u=t(9),h=t(17),g=t(79),_=t(102);class d extends s.DataSource{constructor(t){super(t)}get_array(t){let n=this.data[t];return null==n?this.data[t]=n=[]:o.isArray(n)||(this.data[t]=n=Array.from(n)),n}static init_ColumnarDataSource(){this.define({selection_policy:[l.Instance,()=>new _.UnionRenderers]}),this.internal({selection_manager:[l.Instance,t=>new c.SelectionManager({source:t})],inspected:[l.Instance,()=>new g.Selection]})}initialize(){super.initialize(),this._select=new i.Signal0(this,\"select\"),this.inspect=new i.Signal(this,\"inspect\"),this.streaming=new i.Signal0(this,\"streaming\"),this.patching=new i.Signal(this,\"patching\")}get_column(t){const n=this.data[t];return null!=n?n:null}columns(){return h.keys(this.data)}get_length(t=!0){const n=u.uniq(h.values(this.data).map(t=>t.length));switch(n.length){case 0:return null;case 1:return n[0];default:{const e=\"data source has columns of inconsistent lengths\";if(t)return r.logger.warn(e),n.sort()[0];throw new Error(e)}}}get_indices(){const t=this.get_length();return u.range(0,null!=t?t:1)}clear(){const t={};for(const n of this.columns())t[n]=new this.data[n].constructor(0);this.data=t}}e.ColumnarDataSource=d,d.__name__=\"ColumnarDataSource\",d.init_ColumnarDataSource()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const c=e(1),n=e(71),o=e(79),i=c.__importStar(e(18));class r extends n.Model{constructor(e){super(e)}static init_DataSource(){this.define({selected:[i.Instance,()=>new o.Selection]})}}a.DataSource=r,r.__name__=\"DataSource\",r.init_DataSource()},\n",
+       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),l=t.__importStar(i(18)),c=i(9),_=i(17);class h extends n.Model{constructor(i){super(i)}static init_Selection(){this.define({indices:[l.Array,[]],line_indices:[l.Array,[]],multiline_indices:[l.Any,{}]}),this.internal({selected_glyphs:[l.Array,[]],get_view:[l.Any],image_indices:[l.Array,[]]})}initialize(){super.initialize(),this.get_view=()=>null}static from_hits(i){const e=c.sort_by(i,([,i])=>i).map(([i])=>i);return new h({indices:e})}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.get_view=i.get_view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.get_view=()=>null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=c.union(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=c.intersection(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=c.difference(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=h,h.__name__=\"Selection\",h.init_Selection()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(13),o=e(79),c=e(81),r=e(100),l=i.__importStar(e(18));class p extends n.HasProps{constructor(e){super(e),this.inspectors=new Map}static init_SelectionManager(){this.internal({source:[l.Any]})}select(e,t,s,i=\"replace\"){const n=[],o=[];for(const t of e)t instanceof c.GlyphRendererView?n.push(t):t instanceof r.GraphRendererView&&o.push(t);let l=!1;for(const e of o){const n=e.model.selection_policy.hit_test(t,e);l=l||e.model.selection_policy.do_selection(n,e.model,s,i)}if(n.length>0){const e=this.source.selection_policy.hit_test(t,n);l=l||this.source.selection_policy.do_selection(e,this.source,s,i)}return l}inspect(e,t){let s=!1;if(e instanceof c.GlyphRendererView){const i=e.hit_test(t);if(null!=i){s=!i.is_empty();const n=this.get_or_create_inspector(e.model);n.update(i,!0,\"replace\"),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof r.GraphRendererView){const i=e.model.inspection_policy.hit_test(t,e);s=s||e.model.inspection_policy.do_inspection(i,t,e,!1,\"replace\")}return s}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new o.Selection,this.inspectors.set(e,t)),t}}s.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(82),n=e(83),h=e(94),o=e(95),a=e(97),_=e(98),c=e(72),r=s.__importStar(e(18)),d=e(12),g=e(9),p=e(17),y=e(99),u=e(90),m={fill:{},line:{}},v={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},f={fill:{fill_alpha:.2},line:{}};class w extends l.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model.glyph,t=g.includes(e._mixins,\"fill\"),i=g.includes(e._mixins,\"line\"),s=p.clone(e.attributes);function l(l){const n=p.clone(s);return t&&p.extend(n,l.fill),i&&p.extend(n,l.line),new e.constructor(n)}delete s.id,this.glyph=await this.build_glyph_view(e);let{selection_glyph:n}=this.model;null==n?n=l({fill:{},line:{}}):\"auto\"===n&&(n=l(m)),this.selection_glyph=await this.build_glyph_view(n);let{nonselection_glyph:h}=this.model;null==h?h=l({fill:{},line:{}}):\"auto\"===h&&(h=l(f)),this.nonselection_glyph=await this.build_glyph_view(h);const{hover_glyph:o}=this.model;null!=o&&(this.hover_glyph=await this.build_glyph_view(o));const{muted_glyph:a}=this.model;null!=a&&(this.muted_glyph=await this.build_glyph_view(a));const _=l(v);this.decimated_glyph=await this.build_glyph_view(_),this.xscale=this.plot_view.frame.xscales[this.model.x_range_name],this.yscale=this.plot_view.frame.yscales[this.model.y_range_name],this.set_data(!1)}async build_glyph_view(e){return y.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.glyph.change,()=>this.set_data()),this.connect(this.model.data_source.change,()=>this.set_data()),this.connect(this.model.data_source.streaming,()=>this.set_data()),this.connect(this.model.data_source.patching,e=>this.set_data(!0,e)),this.connect(this.model.data_source.selected.change,()=>this.request_render()),this.connect(this.model.data_source._select,()=>this.request_render()),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,()=>this.request_render()),this.connect(this.model.properties.view.change,()=>this.set_data()),this.connect(this.model.view.change,()=>this.set_data()),this.connect(this.model.properties.visible.change,()=>this.plot_view.update_dataranges());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const i=e[t];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}for(const e in t){const i=t[e];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}this.connect(this.model.glyph.transformchange,()=>this.set_data())}have_selection_glyphs(){return null!=this.selection_glyph&&null!=this.nonselection_glyph}set_data(e=!0,t=null){const i=Date.now(),s=this.model.data_source;this.all_indices=this.model.view.indices,this.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.glyph.set_data(s,this.all_indices,t),this.glyph.set_visuals(s,this.all_indices),this.decimated_glyph.set_visuals(s,this.all_indices),this.have_selection_glyphs()&&(this.selection_glyph.set_visuals(s,this.all_indices),this.nonselection_glyph.set_visuals(s,this.all_indices)),null!=this.hover_glyph&&this.hover_glyph.set_visuals(s,this.all_indices),null!=this.muted_glyph&&this.muted_glyph.set_visuals(s,this.all_indices);const{lod_factor:l}=this.plot_model;this.decimated=[];for(let e=0,t=Math.floor(this.all_indices.length/l);e<t;e++)this.decimated.push(e*l);const n=Date.now()-i;c.logger.debug(`${this.glyph.model.type} ${this.model}): set_data finished in ${n}ms`),this.set_data_timestamp=Date.now(),e&&this.request_render()}get has_webgl(){return this.glyph.has_webgl}render(){if(!this.model.visible)return;const e=Date.now(),t=this.has_webgl;this.glyph.map_data();const i=Date.now()-e,s=Date.now();let l=this.glyph.mask_data(this.all_indices);l.length===this.all_indices.length&&(l=g.range(0,this.all_indices.length));const _=Date.now()-s,{ctx:r}=this.layer;r.save();const{selected:p}=this.model.data_source;let y;y=!p||p.is_empty()?[]:this.glyph instanceof n.LineView&&p.selected_glyph===this.glyph.model?this.model.view.convert_indices_from_subset(l):p.indices;const{inspected:u}=this.model.data_source,m=new Set((()=>!u||u.is_empty()?[]:u.selected_glyph?this.model.view.convert_indices_from_subset(l):u.indices.length>0?u.indices:Object.keys(u.multiline_indices).map(e=>parseInt(e)))()),v=d.filter(l,e=>m.has(this.all_indices[e])),{lod_threshold:f}=this.plot_model;let w,b,x;null!=this.model.document&&this.model.document.interactive_duration()>0&&!t&&null!=f&&this.all_indices.length>f?(l=this.decimated,w=this.decimated_glyph,b=this.decimated_glyph,x=this.selection_glyph):(w=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,b=this.nonselection_glyph,x=this.selection_glyph),null!=this.hover_glyph&&v.length&&(l=g.difference(l,v));let D,V=null;if(y.length&&this.have_selection_glyphs()){const e=Date.now(),t={};for(const e of y)t[e]=!0;const i=new Array,s=new Array;if(this.glyph instanceof n.LineView)for(const e of this.all_indices)null!=t[e]?i.push(e):s.push(e);else for(const e of l)null!=t[this.all_indices[e]]?i.push(e):s.push(e);V=Date.now()-e,D=Date.now(),b.render(r,s,this.glyph),x.render(r,i,this.glyph),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):this.hover_glyph.render(r,v,this.glyph))}else if(D=Date.now(),this.glyph instanceof n.LineView)this.hover_glyph&&v.length?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):w.render(r,this.all_indices,this.glyph);else if(this.glyph instanceof h.PatchView||this.glyph instanceof o.HAreaView||this.glyph instanceof a.VAreaView)if(0==u.selected_glyphs.length||null==this.hover_glyph)w.render(r,this.all_indices,this.glyph);else for(const e of u.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(r,this.all_indices,this.glyph);else w.render(r,l,this.glyph),this.hover_glyph&&v.length&&this.hover_glyph.render(r,v,this.glyph);const R=Date.now()-D;this.last_dtrender=R;const $=Date.now()-e;c.logger.debug(`${this.glyph.model.type} ${this.model}: render finished in ${$}ms`),c.logger.trace(` - map_data finished in       : ${i}ms`),c.logger.trace(` - mask_data finished in      : ${_}ms`),null!=V&&c.logger.trace(` - selection mask finished in : ${V}ms`),c.logger.trace(` - glyph renders finished in  : ${R}ms`),r.restore()}draw_legend(e,t,i,s,l,n,h,o){null==o&&(o=this.model.get_reference_point(n,h)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o)}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=w,w.__name__=\"GlyphRendererView\";class b extends l.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=w,this.define({data_source:[r.Instance],view:[r.Instance,()=>new _.CDSView],glyph:[r.Instance],hover_glyph:[r.Instance],nonselection_glyph:[r.Any,\"auto\"],selection_glyph:[r.Any,\"auto\"],muted_glyph:[r.Instance],muted:[r.Boolean,!1]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){let i=0;if(null!=e){const s=this.data_source.get_column(e);if(null!=s){const e=d.indexOf(s,t);-1!=e&&(i=e)}}return i}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=b,b.__name__=\"GlyphRenderer\",b.init_GlyphRenderer()},\n",
+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),a=e(65),_=t.__importStar(e(18));class i extends a.RendererView{}n.DataRendererView=i,i.__name__=\"DataRendererView\";class d extends a.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.define({x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"glyph\"})}}n.DataRenderer=d,d.__name__=\"DataRenderer\",d.init_DataRenderer()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),_=e(92),l=s.__importStar(e(23)),o=s.__importStar(e(93)),r=e(79);class h extends n.XYGlyphView{_render(e,t,{sx:i,sy:s}){let n=!1,_=null;this.visuals.line.set_value(e);for(const l of t){if(n){if(!isFinite(i[l]+s[l])){e.stroke(),e.beginPath(),n=!1,_=l;continue}null!=_&&l-_>1&&(e.stroke(),n=!1)}n?e.lineTo(i[l],s[l]):(e.beginPath(),e.moveTo(i[l],s[l]),n=!0),_=l}n&&e.stroke()}_hit_point(e){const t=new r.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.visuals.line.line_width.value()/2);for(let e=0,_=this.sx.length-1;e<_;e++){const _={x:this.sx[e],y:this.sy[e]},l={x:this.sx[e+1],y:this.sy[e+1]},r=o.dist_to_segment(i,_,l);r<n&&r<s&&(s=r,t.add_to_selected_glyphs(this.model),t.get_view=()=>this,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=new r.Selection;let n,_;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),_=this._y):(n=this.renderer.xscale.invert(t),_=this._x);for(let e=0,t=_.length-1;e<t;e++)(_[e]<=n&&n<=_[e+1]||_[e+1]<=n&&n<=_[e])&&(s.add_to_selected_glyphs(this.model),s.get_view=()=>this,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return _.line_interpolation(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){_.generic_line_legend(this.visuals,e,t,i)}}i.LineView=h,h.__name__=\"LineView\";class a extends n.XYGlyph{constructor(e){super(e)}static init_Line(){this.prototype.default_view=h,this.mixins(l.Line)}}i.Line=a,a.__name__=\"Line\",a.init_Line()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(85),n=e(89);class _ extends n.GlyphView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y[t];!isNaN(s+i)&&isFinite(s+i)&&e.push({x0:s,y0:i,x1:s,y1:i,i:t})}return new i.SpatialIndex(e)}scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}}s.XYGlyphView=_,_.__name__=\"XYGlyphView\";class h extends n.Glyph{constructor(e){super(e)}static init_XYGlyph(){this.coords([[\"x\",\"y\"]])}}s.XYGlyph=h,h.__name__=\"XYGlyph\",h.init_XYGlyph()},\n",
+       "      function _(n,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=n(1).__importDefault(n(86)),s=n(88);class r{constructor(n){if(this.points=n,this.index=null,n.length>0){this.index=new e.default(n.length);for(const t of n){const{x0:n,y0:i,x1:e,y1:s}=t;this.index.add(n,i,e,s)}this.index.finish()}}_normalize(n){let{x0:t,y0:i,x1:e,y1:s}=n;return t>e&&([t,e]=[e,t]),i>s&&([i,s]=[s,i]),{x0:t,y0:i,x1:e,y1:s}}get bbox(){if(null==this.index)return s.empty();{const{minX:n,minY:t,maxX:i,maxY:e}=this.index;return{x0:n,y0:t,x1:i,y1:e}}}search(n){if(null==this.index)return[];{const{x0:t,y0:i,x1:e,y1:s}=this._normalize(n);return this.index.search(t,i,e,s).map(n=>this.points[n])}}indices(n){return this.search(n).map(({i:n})=>n)}}i.SpatialIndex=r,r.__name__=\"SpatialIndex\"},\n",
+       "      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1).__importDefault(t(87)),h=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class n{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[o]=new Uint32Array(t,4,1);return new n(o,e,h[15&i],t)}constructor(t,s=16,i=Float64Array,n){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let o=t,r=o;this._levelBounds=[4*o];do{o=Math.ceil(o/this.nodeSize),r+=o,this._levelBounds.push(4*r)}while(1!==o);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=h.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);n&&n instanceof ArrayBuffer?(this.data=n,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new e.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,t<this.minX&&(this.minX=t),s<this.minY&&(this.minY=s),i>this.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e<this.numItems;e++){let h=4*e;const n=this._boxes[h++],o=this._boxes[h++],r=this._boxes[h++],a=this._boxes[h++],d=Math.floor(65535*((n+r)/2-this.minX)/t),x=Math.floor(65535*((o+a)/2-this.minY)/s);i[e]=_(d,x)}!function t(s,i,e,h,n,o){if(Math.floor(h/o)>=Math.floor(n/o))return;const r=s[h+n>>1];let _=h-1,d=n+1;for(;;){do{_++}while(s[_]<r);do{d--}while(s[d]>r);if(_>=d)break;a(s,i,e,_,d)}t(s,i,e,h,d,o),t(s,i,e,d+1,n,o)}(i,this._boxes,this._indices,0,this.numItems-1,this.nodeSize);for(let t=0,s=0;t<this._levelBounds.length-1;t++){const i=this._levelBounds[t];for(;s<i;){const t=s;let e=1/0,h=1/0,n=-1/0,o=-1/0;for(let t=0;t<this.nodeSize&&s<i;t++)e=Math.min(e,this._boxes[s++]),h=Math.min(h,this._boxes[s++]),n=Math.max(n,this._boxes[s++]),o=Math.max(o,this._boxes[s++]);this._indices[this._pos>>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],a=[];for(;void 0!==n;){const _=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let r=n;r<_;r+=4){const _=0|this._indices[r>>2];i<this._boxes[r]||(e<this._boxes[r+1]||t>this._boxes[r+2]||s>this._boxes[r+3]||(n<4*this.numItems?(void 0===h||h(_))&&a.push(_):o.push(_)))}n=o.pop()}return a}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const a=this._queue,_=[],d=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let i=n;i<e;i+=4){const e=0|this._indices[i>>2],r=o(t,this._boxes[i],this._boxes[i+2]),_=o(s,this._boxes[i+1],this._boxes[i+3]),d=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&a.push(-e-1,d):a.push(e,d)}for(;a.length&&a.peek()<0;){if(a.peekValue()>d)return a.clear(),_;if(_.push(-a.pop()-1),_.length===i)return a.clear(),_}n=a.pop()}return a.clear(),_}}function o(t,s,i){return t<s?s-t:t<=i?0:t-i}function r(t,s){let i=0,e=s.length-1;for(;i<e;){const h=i+e>>1;s[h]>t?e=h:i=h+1}return s[i]}function a(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],d=s[o+2],x=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=d,s[r+3]=x;const l=i[e];i[e]=i[h],i[h]=l}function _(t,s){let i=t^s,e=65535^i,h=65535^(t|s),n=t&(65535^s),o=i|e>>1,r=i>>1^i,a=h>>1^e&n>>1^h,_=i&h>>1^n>>1^n;i=o,e=r,h=a,n=_,o=i&i>>2^e&e>>2,r=i&e>>2^e&(i^e)>>2,a^=i&h>>2^e&n>>2,_^=e&h>>2^(i^e)&n>>2,i=o,e=r,h=a,n=_,o=i&i>>4^e&e>>4,r=i&e>>4^e&(i^e)>>4,a^=i&h>>4^e&n>>4,_^=e&h>>4^(i^e)&n>>4,i=o,e=r,h=a,n=_,a^=i&h>>8^e&n>>8,_^=e&h>>8^(i^e)&n>>8,i=a^a>>1,e=_^_>>1;let d=t^s,x=e|65535^(d|i);return d=16711935&(d|d<<8),d=252645135&(d|d<<4),d=858993459&(d|d<<2),d=1431655765&(d|d<<1),x=16711935&(x|x<<8),x=252645135&(x|x<<4),x=858993459&(x|x<<2),x=1431655765&(x|x<<1),(x<<1|d)>>>0}i.default=n},\n",
+       "      function _(s,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});i.default=class{constructor(){this.ids=[],this.values=[],this.length=0}clear(){this.length=0}push(s,t){let i=this.length++;for(this.ids[i]=s,this.values[i]=t;i>0;){const s=i-1>>1,h=this.values[s];if(t>=h)break;this.ids[i]=this.ids[s],this.values[i]=h,i=s}this.ids[i]=s,this.values[i]=t}pop(){if(0===this.length)return;const s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let h=0;for(;h<i;){let s=1+(h<<1);const i=s+1;let e=this.ids[s],l=this.values[s];const n=this.values[i];if(i<this.length&&n<l&&(s=i,e=this.ids[i],l=n),l>=t)break;this.ids[h]=e,this.values[h]=l,h=s}this.ids[h]=s,this.values[h]=t}return s}peek(){if(0!==this.length)return this.ids[0]}peekValue(){if(0!==this.length)return this.values[0]}}},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const{min:h,max:r}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:h(t.x0,i.x0),x1:r(t.x1,i.x1),y0:h(t.y0,i.y0),y1:r(t.y1,i.y1)}};class s{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get rect(){return{x0:this.x0,y0:this.y0,x1:this.x1,y1:this.y1}}get box(){return{x:this.x,y:this.y,width:this.width,height:this.height}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}contains(t,i){return t>=this.x0&&t<=this.x1&&i>=this.y0&&i<=this.y1}clip(t,i){return t<this.x0?t=this.x0:t>this.x1&&(t=this.x1),i<this.y0?i=this.y0:i>this.y1&&(i=this.y1),[t,i]}union(t){return new s({x0:h(this.x0,t.x0),y0:h(this.y0,t.y0),x1:r(this.x1,t.x1),y1:r(this.y1,t.y1)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new Float64Array(t.length),e=this.left;for(let h=0;h<t.length;h++)i[h]=e+t[h];return i}}}get yview(){return{compute:t=>this.bottom-t,v_compute:t=>{const i=new Float64Array(t.length),e=this.bottom;for(let h=0;h<t.length;h++)i[h]=e-t[h];return i}}}}e.BBox=s,s.__name__=\"BBox\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=i.__importStar(t(18)),r=i.__importStar(t(88)),a=i.__importStar(t(32)),_=i.__importStar(t(70)),l=t(67),o=t(71),h=t(72),c=t(12),d=t(17),p=t(8),y=t(83),u=t(90),g=t(79);class x extends l.View{constructor(){super(...arguments),this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}initialize(){super.initialize(),this.visuals=new _.Visuals(this.model)}async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e){let s=null;try{s=await Promise.resolve().then(()=>i.__importStar(t(371)))}catch(t){if(\"MODULE_NOT_FOUND\"!==t.code)throw t;h.logger.warn(\"WebGL was requested and is supported, but bokeh-gl(.min).js is not available, falling back to 2D rendering.\")}if(null!=s){const t=s[this.model.type+\"GLGlyph\"];null!=t&&(this.glglyph=new t(e.gl,this))}}}set_visuals(t,e){this.visuals.set_all_indices(e),this.visuals.warm_cache(t),null!=this.glglyph&&this.glglyph.set_visuals_changed()}render(t,e,s){t.beginPath(),null!=this.glglyph&&this.glglyph.render(t,e,s)||this._render(t,e,s)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(t){return t}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const t=r.empty(),e=this.index.search(r.positive_x());for(const s of e)s.x0<t.x0&&(t.x0=s.x0),s.x1>t.x1&&(t.x1=s.x1);const s=this.index.search(r.positive_y());for(const e of s)e.y0<t.y0&&(t.y0=e.y0),e.y1>t.y1&&(t.y1=e.y1);return this._bounds(t)}get_anchor_point(t,e,[s,i]){switch(t){case\"center\":return{x:this.scenterx(e,s,i),y:this.scentery(e,s,i)};default:return null}}sdist(t,e,s,i=\"edge\",n=!1){let r,a;const _=e.length;if(\"center\"==i){const t=c.map(s,t=>t/2);r=new Float64Array(_);for(let s=0;s<_;s++)r[s]=e[s]-t[s];a=new Float64Array(_);for(let s=0;s<_;s++)a[s]=e[s]+t[s]}else{r=e,a=new Float64Array(_);for(let t=0;t<_;t++)a[t]=r[t]+s[t]}const l=t.v_compute(r),o=t.v_compute(a);return n?c.map(l,(t,e)=>Math.ceil(Math.abs(o[e]-l[e]))):c.map(l,(t,e)=>Math.abs(o[e]-l[e]))}draw_legend_for_index(t,e,s){}hit_test(t){switch(t.type){case\"point\":if(null!=this._hit_point)return this._hit_point(t);break;case\"span\":if(null!=this._hit_span)return this._hit_span(t);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(t);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(t)}return this._nohit_warned.has(t.type)||(h.logger.debug(`'${t.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(t.type)),null}_hit_rect_against_index(t){const{sx0:e,sx1:s,sy0:i,sy1:n}=t,[r,a]=this.renderer.xscale.r_invert(e,s),[_,l]=this.renderer.yscale.r_invert(i,n),o=this.index.indices({x0:r,x1:a,y0:_,y1:l});return new g.Selection({indices:o})}set_data(t,e,s){let i=this.model.materialize_dataspecs(t);if(e&&!(this instanceof y.LineView)){const t={};for(const s in i){const n=i[s];\"_\"===s.charAt(0)?t[s]=e.map(t=>n[t]):t[s]=n}i=t}const n=this;if(d.extend(n,i),this.renderer.plot_view.model.use_map&&(null!=n._x&&([n._x,n._y]=a.project_xy(n._x,n._y)),null!=n._xs&&([n._xs,n._ys]=a.project_xsys(n._xs,n._ys)),null!=n._x0&&([n._x0,n._y0]=a.project_xy(n._x0,n._y0)),null!=n._x1&&([n._x1,n._y1]=a.project_xy(n._x1,n._y1))),null!=this.renderer.plot_view.frame.x_ranges){const t=this.renderer.plot_view.frame.x_ranges[this.model.x_range_name],e=this.renderer.plot_view.frame.y_ranges[this.model.y_range_name];for(let[s,i]of this.model._coords)s=\"_\"+s,i=\"_\"+i,null!=n._xs?(t instanceof u.FactorRange&&(n[s]=c.map(n[s],e=>t.v_synthetic(e))),e instanceof u.FactorRange&&(n[i]=c.map(n[i],t=>e.v_synthetic(t)))):(t instanceof u.FactorRange&&(n[s]=t.v_synthetic(n[s])),e instanceof u.FactorRange&&(n[i]=e.v_synthetic(n[i])))}null!=this.glglyph&&this.glglyph.set_data_changed(n._x.length),this._set_data(s),this.index_data()}_set_data(t){}index_data(){this.index=this._index_data()}mask_data(t){return null!=this.glglyph||null==this._mask_data?t:this._mask_data()}map_data(){const t=this;for(let[e,s]of this.model._coords){const i=\"s\"+e,n=\"s\"+s;if(e=\"_\"+e,s=\"_\"+s,null!=t[e]&&(p.isArray(t[e][0])||p.isTypedArray(t[e][0]))){const r=t[e].length;t[i]=new Array(r),t[n]=new Array(r);for(let a=0;a<r;a++){const[r,_]=this.map_to_screen(t[e][a],t[s][a]);t[i][a]=r,t[n][a]=_}}else[t[i],t[n]]=this.map_to_screen(t[e],t[s])}this._map_data()}_map_data(){}map_to_screen(t,e){return this.renderer.plot_view.map_to_screen(t,e,this.model.x_range_name,this.model.y_range_name)}}s.GlyphView=x,x.__name__=\"GlyphView\";class m extends o.Model{constructor(t){super(t)}static init_Glyph(){this.prototype._coords=[],this.internal({x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"]})}static coords(t){const e=this.prototype._coords.concat(t);this.prototype._coords=e;const s={};for(const[e,i]of t)s[e]=[n.CoordinateSpec],s[i]=[n.CoordinateSpec];this.define(s)}}s.Glyph=m,m.__name__=\"Glyph\",m.init_Glyph()},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=t(1),i=t(91),r=s.__importStar(t(18)),a=t(12),o=t(9),p=t(8),g=t(11);function c(t,e,n=0){const s=new Map;for(let i=0;i<t.length;i++){const r=t[i];if(s.has(r))throw new Error(\"duplicate factor or subfactor: \"+r);s.set(r,{value:.5+i*(1+e)+n})}return[s,(t.length-1)*e]}function l(t,e,n,s=0){var i;const r=new Map,a=new Map;for(const[e,n]of t){const t=null!==(i=a.get(e))&&void 0!==i?i:[];a.set(e,[...t,n])}let p=s,g=0;for(const[t,s]of a){const i=s.length,[a,l]=c(s,n,p);g+=l;const u=o.sum(s.map(t=>a.get(t).value));r.set(t,{value:u/i,mapping:a}),p+=i+e+l}return[r,(a.size-1)*e+g]}function u(t,e,n,s,i=0){var r;const a=new Map,p=new Map;for(const[e,n,s]of t){const t=null!==(r=p.get(e))&&void 0!==r?r:[];p.set(e,[...t,[n,s]])}let g=i,c=0;for(const[t,i]of p){const r=i.length,[p,u]=l(i,n,s,g);c+=u;const h=o.sum(i.map(([t])=>p.get(t).value));a.set(t,{value:h/r,mapping:p}),g+=r+e+u}return[a,(p.size-1)*e+c]}n.map_one_level=c,n.map_two_levels=l,n.map_three_levels=u;class h extends i.Range{constructor(t){super(t)}static init_FactorRange(){this.define({factors:[r.Array,[]],factor_padding:[r.Number,0],subgroup_padding:[r.Number,.8],group_padding:[r.Number,1.4],range_padding:[r.Number,0],range_padding_units:[r.PaddingUnits,\"percent\"],start:[r.Number],end:[r.Number]}),this.internal({levels:[r.Number],mids:[r.Array,null],tops:[r.Array,null]})}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,()=>this.reset()),this.connect(this.properties.factor_padding.change,()=>this.reset()),this.connect(this.properties.group_padding.change,()=>this.reset()),this.connect(this.properties.subgroup_padding.change,()=>this.reset()),this.connect(this.properties.range_padding.change,()=>this.reset()),this.connect(this.properties.range_padding_units.change,()=>this.reset())}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[e]=t,n=this._mapping.get(e);return null!=n?n.value:NaN}case 2:{const[e,n]=t,s=this._mapping.get(e);if(null!=s){const t=s.mapping.get(n);if(null!=t)return t.value}return NaN}case 3:{const[e,n,s]=t,i=this._mapping.get(e);if(null!=i){const t=i.mapping.get(n);if(null!=t){const e=t.mapping.get(s);if(null!=e)return e.value}}return NaN}default:g.unreachable()}}synthetic(t){if(p.isNumber(t))return t;if(p.isString(t))return this._lookup([t]);let e=0;const n=t[t.length-1];return p.isNumber(n)&&(e=n,t=t.slice(0,-1)),this._lookup(t)+e}v_synthetic(t){return a.map(t,t=>this.synthetic(t))}_init(t){const{levels:e,mapping:n,tops:s,mids:i,inside_padding:r}=(()=>{if(o.every(this.factors,p.isString)){const t=this.factors,[e,n]=c(t,this.factor_padding);return{levels:1,mapping:e,tops:null,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&2==t.length&&p.isString(t[0])&&p.isString(t[1]))){const t=this.factors,[e,n]=l(t,this.group_padding,this.factor_padding),s=[...e.keys()];return{levels:2,mapping:e,tops:s,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&3==t.length&&p.isString(t[0])&&p.isString(t[1])&&p.isString(t[2]))){const t=this.factors,[e,n]=u(t,this.group_padding,this.subgroup_padding,this.factor_padding),s=[...e.keys()],i=[];for(const[t,n]of e)for(const e of n.mapping.keys())i.push([t,e]);return{levels:3,mapping:e,tops:s,mids:i,inside_padding:n}}g.unreachable()})();this._mapping=n,this.tops=s,this.mids=i;let a=0,h=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(h-a)*this.range_padding/2;a-=t,h+=t}else a-=this.range_padding,h+=this.range_padding;this.setv({start:a,end:h,levels:e},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,h]},{silent:!0})}}n.FactorRange=h,h.__name__=\"FactorRange\",h.init_FactorRange()},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(71),r=i.__importStar(e(18));class s extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define({bounds:[r.Any],min_interval:[r.Any],max_interval:[r.Any]}),this.internal({plots:[r.Array,[]]})}get is_reversed(){return this.start>this.end}}n.Range=s,s.__name__=\"Range\",s.init_Range()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1).__importStar(e(93));i.generic_line_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){t.save(),t.beginPath(),t.moveTo(i,(c+o)/2),t.lineTo(n,(c+o)/2),e.line.doit&&(e.line.set_vectorize(t,r),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){const l=.1*Math.abs(n-i),a=.1*Math.abs(o-c),s=i+l,_=n-l,h=c+a,v=o-a;e.fill.doit&&(e.fill.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(s,h,_-s,v-h),e.line.set_vectorize(t,r),t.stroke())},i.line_interpolation=function(e,t,i,c,o,r){const{sx:l,sy:a}=t;let s,_,h,v;\"point\"==t.type?([h,v]=e.yscale.r_invert(a-1,a+1),[s,_]=e.xscale.r_invert(l-1,l+1)):\"v\"==t.direction?([h,v]=e.yscale.r_invert(a,a),[s,_]=[Math.min(i-1,o-1),Math.max(i+1,o+1)]):([s,_]=e.xscale.r_invert(l,l),[h,v]=[Math.min(c-1,r-1),Math.max(c+1,r+1)]);const{x,y}=n.check_2_segments_intersect(s,h,_,v,i,c,o,r);return[x,y]}},\n",
+       "      function _(t,n,e){function i(t){return t*t}function o(t,n){return i(t.x-n.x)+i(t.y-n.y)}function r(t,n,e){const i=o(n,e);if(0==i)return o(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;return o(t,r<0?n:r>1?e:{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}Object.defineProperty(e,\"__esModule\",{value:!0}),e.point_in_poly=function(t,n,e,i){let o=!1,r=e[e.length-1],s=i[i.length-1];for(let u=0;u<e.length;u++){const c=e[u],_=i[u];s<n!=_<n&&r+(n-s)/(_-s)*(c-r)<t&&(o=!o),r=c,s=_}return o},e.point_in_ellipse=function(t,n,e,i,o,r,s){return((Math.cos(e)/o)**2+(Math.sin(e)/i)**2)*(t-r)**2+2*Math.cos(e)*Math.sin(e)*((1/o)**2-(1/i)**2)*(t-r)*(n-s)+((Math.cos(e)/i)**2+(Math.sin(e)/o)**2)*(n-s)**2<=1},e.dist_2_pts=o,e.dist_to_segment_squared=r,e.dist_to_segment=function(t,n,e){return Math.sqrt(r(t,n,e))},e.check_2_segments_intersect=function(t,n,e,i,o,r,s,u){const c=(u-r)*(e-t)-(s-o)*(i-n);if(0==c)return{hit:!1,x:null,y:null};{let _=n-r,l=t-o;const y=(e-t)*_-(i-n)*l;return _=((s-o)*_-(u-r)*l)/c,l=y/c,{hit:_>0&&_<1&&l>0&&l<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),l=e(84),_=e(92),n=s.__importStar(e(93)),o=s.__importStar(e(23)),a=e(79);class h extends l.XYGlyphView{_inner_loop(e,i,t,s,l){for(const _ of i)0!=_?isNaN(t[_]+s[_])?(e.closePath(),l.apply(e),e.beginPath()):e.lineTo(t[_],s[_]):(e.beginPath(),e.moveTo(t[_],s[_]));e.closePath(),l.call(e)}_render(e,i,{sx:t,sy:s}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner_loop(e,i,t,s,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner_loop(e,i,t,s,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_value(e),this._inner_loop(e,i,t,s,e.stroke))}draw_legend_for_index(e,i,t){_.generic_area_legend(this.visuals,e,i,t)}_hit_point(e){const i=new a.Selection;return n.point_in_poly(e.sx,e.sy,this.sx,this.sy)&&(i.add_to_selected_glyphs(this.model),i.get_view=()=>this),i}}t.PatchView=h,h.__name__=\"PatchView\";class r extends l.XYGlyph{constructor(e){super(e)}static init_Patch(){this.prototype.default_view=h,this.mixins([o.Line,o.Fill,o.Hatch])}}t.Patch=r,r.__name__=\"Patch\",r.init_Patch()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x1.length;t<s;t++){const s=this._x1[t],i=this._x2[t],r=this._y[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:Math.min(s,i),y0:r,x1:Math.max(s,i),y1:r,i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let s=0,r=t.length;s<r;s++)e.lineTo(t[s],i[s]);for(let t=s.length-1;t>=0;t--)e.lineTo(s[t],i[t]);e.closePath(),r.call(e)}_render(e,t,{sx1:s,sx2:i,sy:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}_hit_point(e){const t=this.sy.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx1[e],i[e]=this.sy[e],s[t+e]=this.sx2[t-e-1],i[t+e]=this.sy[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}scenterx(e){return(this.sx1[e]+this.sx2[e])/2}scentery(e){return this.sy[e]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}s.HAreaView=l,l.__name__=\"HAreaView\";class o extends r.Area{constructor(e){super(e)}static init_HArea(){this.prototype.default_view=l,this.define({x1:[_.CoordinateSpec],x2:[_.CoordinateSpec],y:[_.CoordinateSpec]})}}s.HArea=o,o.__name__=\"HArea\",o.init_HArea()},\n",
+       "      function _(e,_,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(1),r=e(89),t=e(92),n=a.__importStar(e(23));class s extends r.GlyphView{draw_legend_for_index(e,_,i){t.generic_area_legend(this.visuals,e,_,i)}}i.AreaView=s,s.__name__=\"AreaView\";class c extends r.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([n.Fill,n.HatchVector])}}i.Area=c,c.__name__=\"Area\",c.init_Area()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y1[t],r=this._y2[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:s,y0:Math.min(i,r),x1:s,y1:Math.max(i,r),i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let i=0,r=s.length;i<r;i++)e.lineTo(t[i],s[i]);for(let s=i.length-1;s>=0;s--)e.lineTo(t[s],i[s]);e.closePath(),r.call(e)}_render(e,t,{sx:s,sy1:i,sy2:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}scenterx(e){return this.sx[e]}scentery(e){return(this.sy1[e]+this.sy2[e])/2}_hit_point(e){const t=this.sx.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx[e],i[e]=this.sy1[e],s[t+e]=this.sx[t-e-1],i[t+e]=this.sy2[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}s.VAreaView=l,l.__name__=\"VAreaView\";class o extends r.Area{constructor(e){super(e)}static init_VArea(){this.prototype.default_view=l,this.define({x:[_.CoordinateSpec],y1:[_.CoordinateSpec],y2:[_.CoordinateSpec]})}}s.VArea=o,o.__name__=\"VArea\",o.init_VArea()},\n",
+       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),c=t.__importStar(i(18)),o=i(79),r=i(9),_=i(77);class h extends n.Model{constructor(i){super(i)}static init_CDSView(){this.define({filters:[c.Array,[]],source:[c.Instance]}),this.internal({indices:[c.Array,[]],indices_map:[c.Any,{}]})}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,()=>{this.compute_indices(),this.change.emit()});const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,()=>{e||(i(),e=!0)})}compute_indices(){const i=this.filters.map(i=>i.compute_indices(this.source)).filter(i=>null!=i);i.length>0?this.indices=r.intersection.apply(this,i):this.source instanceof _.ColumnarDataSource&&(this.indices=this.source.get_indices()),this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;i<this.indices.length;i++)this.indices_map[this.indices[i]]=i}convert_selection_from_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_selection_to_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices_map[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_indices_from_subset(i){return i.map(i=>this.indices[i])}}s.CDSView=h,h.__name__=\"CDSView\",h.init_CDSView()},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(9);async function i(e,n,t){const o=new e(Object.assign(Object.assign({},t),{model:n}));return o.initialize(),await o.lazy_initialize(),o}t.build_view=async function(e,n={parent:null},t=(e=>e.default_view)){const o=await i(t(e),e,n);return o.connect_signals(),o},t.build_views=async function(e,n,t={parent:null},s=(e=>e.default_view)){const c=o.difference([...e.keys()],n);for(const n of c)e.get(n).remove(),e.delete(n);const a=[],f=n.filter(n=>!e.has(n));for(const n of f){const o=await i(s(n),n,t);e.set(n,o),a.push(o)}for(const e of a)e.connect_signals();return a},t.remove_views=function(e){for(const[n,t]of e)t.remove(),e.delete(n)}},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),r=e(82),i=e(101),a=s.__importStar(e(18)),d=e(99);class _ extends r.DataRendererView{initialize(){super.initialize(),this.xscale=this.plot_view.frame.xscales.default,this.yscale=this.plot_view.frame.yscales.default,this._renderer_views=new Map}async lazy_initialize(){[this.node_view,this.edge_view]=await d.build_views(this._renderer_views,[this.model.node_renderer,this.model.edge_renderer],{parent:this.parent}),this.set_data()}remove(){d.remove_views(this._renderer_views),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,()=>this.set_data()),this.connect(this.model.node_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.change,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.change,()=>this.set_data());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const n=e[t];this.connect(n.change,()=>this.set_data())}for(const e in t){const n=t[e];this.connect(n.change,()=>this.set_data())}}set_data(e=!0){this.node_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.edge_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0});const t=this.node_view.glyph;[t._x,t._y]=this.model.layout_provider.get_node_coordinates(this.model.node_renderer.data_source);const n=this.edge_view.glyph;[n._xs,n._ys]=this.model.layout_provider.get_edge_coordinates(this.model.edge_renderer.data_source),t.index_data(),n.index_data(),e&&this.request_render()}render(){this.edge_view.render(),this.node_view.render()}}n.GraphRendererView=_,_.__name__=\"GraphRendererView\";class o extends r.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=_,this.define({layout_provider:[a.Instance],node_renderer:[a.Instance],edge_renderer:[a.Instance],selection_policy:[a.Instance,()=>new i.NodesOnly],inspection_policy:[a.Instance,()=>new i.NodesOnly]})}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=o,o.__name__=\"GraphRenderer\",o.init_GraphRenderer()},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const d=e(71),s=e(12),o=e(9),_=e(79);class i extends d.Model{constructor(e){super(e)}_hit_test_nodes(e,t){if(!t.model.visible)return null;const n=t.node_view.glyph.hit_test(e);return null==n?null:t.node_view.model.view.convert_selection_from_subset(n)}_hit_test_edges(e,t){if(!t.model.visible)return null;const n=t.edge_view.glyph.hit_test(e);return null==n?null:t.edge_view.model.view.convert_selection_from_subset(n)}}n.GraphHitTestPolicy=i,i.__name__=\"GraphHitTestPolicy\";class r extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.model.get_selection_manager().get_or_create_inspector(n.node_view.model);return o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesOnly=r,r.__name__=\"NodesOnly\";class c extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}get_linked_edges(e,t,n){let d=[];\"selection\"==n?d=e.selected.indices.map(t=>e.data.index[t]):\"inspection\"==n&&(d=e.inspected.indices.map(t=>e.data.index[t]));const s=[];for(let e=0;e<t.data.start.length;e++)(o.contains(d,t.data.start[e])||o.contains(d,t.data.end[e]))&&s.push(e);const i=new _.Selection;for(const e of s)i.multiline_indices[e]=[0];return i.indices=s,i}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;s.update(e,n,d);const o=t.edge_renderer.data_source.selected,_=this.get_linked_edges(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model);o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model),i=this.get_linked_edges(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.edge_view.model.data_source.setv({inspected:_},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesAndLinkedEdges=c,c.__name__=\"NodesAndLinkedEdges\";class a extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_edges(e,t)}get_linked_nodes(e,t,n){let d=[];\"selection\"==n?d=t.selected.indices:\"inspection\"==n&&(d=t.inspected.indices);const i=[];for(const e of d)i.push(t.data.start[e]),i.push(t.data.end[e]);const r=o.uniq(i).map(t=>s.indexOf(e.data.index,t));return new _.Selection({indices:r})}do_selection(e,t,n,d){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,n,d);const o=t.node_renderer.data_source.selected,_=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model);o.update(e,d,s),n.edge_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model),i=this.get_linked_nodes(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.node_view.model.data_source.setv({inspected:_},{silent:!0}),n.edge_view.model.data_source.inspect.emit([n.edge_view,{geometry:t}]),!o.is_empty()}}n.EdgesAndLinkedNodes=a,a.__name__=\"EdgesAndLinkedNodes\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(71);class o extends s.Model{do_selection(e,t,n,s){return null!==e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=o,o.__name__=\"SelectionPolicy\";class r extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=r,r.__name__=\"IntersectRenderers\";class c extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=c,c.__name__=\"UnionRenderers\"},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.concat=function(t,...e){let n=t.length;for(const t of e)n+=t.length;const o=new t.constructor(n);o.set(t,0);let c=t.length;for(const t of e)o.set(t,c),c+=t.length;return o}},\n",
+       "      function _(n,o,e){function t(...n){const o=new Set;for(const e of n)for(const n of e)o.add(n);return o}Object.defineProperty(e,\"__esModule\",{value:!0}),e.union=t,e.intersection=function(n,...o){const e=new Set;n:for(const t of n){for(const n of o)if(!n.has(t))continue n;e.add(t)}return e},e.difference=function(n,...o){const e=new Set(n);for(const n of t(...o))e.delete(n);return e}},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(13);class o{constructor(e){this.document=e}}s.DocumentEvent=o,o.__name__=\"DocumentEvent\";class r extends o{constructor(e,t,s){super(e),this.events=t,this.setter_id=s}}s.DocumentEventBatch=r,r.__name__=\"DocumentEventBatch\";class d extends o{}s.DocumentChangedEvent=d,d.__name__=\"DocumentChangedEvent\";class _ extends d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}json(e){const t=this.msg_data,s=n.HasProps._value_to_json(t),o=new Set;return n.HasProps._value_record_references(t,o,{recursive:!0}),{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=_,_.__name__=\"MessageSentEvent\";class i extends d{constructor(e,t,s,n,o,r,d){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=r,this.hint=d}json(e){if(\"id\"===this.attr)throw new Error(\"'id' field should never change, whatever code just set it is wrong\");if(null!=this.hint)return this.hint.json(e);const t=this.new_,s=n.HasProps._value_to_json(t),o=new Set;n.HasProps._value_record_references(t,o,{recursive:!0}),o.has(this.model)&&this.model!==t&&o.delete(this.model);for(const t of o)e.add(t);return{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=i,i.__name__=\"ModelChangedEvent\";class a extends d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}json(e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=a,a.__name__=\"ColumnsPatchedEvent\";class c extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}json(e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=c,c.__name__=\"ColumnsStreamedEvent\";class h extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}json(e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=h,h.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return n.HasProps._value_record_references(this.model,e,{recursive:!0}),{kind:\"RootAdded\",model:this.model.ref()}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class l extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=l,l.__name__=\"RootRemovedEvent\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(31),o=e(76),l=i.__importStar(e(23)),a=i.__importStar(e(18));class n extends _.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],_=\"height\"==t?i:s,o=\"height\"==t?s:i,l=\"height\"==t?e.yview:e.xview,a=\"height\"==t?e.xview:e.yview;let n,h,r;n=\"data\"==this.model.properties.lower.units?_.v_compute(this._lower):l.v_compute(this._lower),h=\"data\"==this.model.properties.upper.units?_.v_compute(this._upper):l.v_compute(this._upper),r=\"data\"==this.model.properties.base.units?o.v_compute(this._base):a.v_compute(this._base);const[c,p]=\"height\"==t?[1,0]:[0,1],u=[n,r],d=[h,r];this._lower_sx=u[c],this._lower_sy=u[p],this._upper_sx=d[c],this._upper_sy=d[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);for(let t=this._upper_sx.length-1;t>=0;t--)e.lineTo(this._upper_sx[t],this._upper_sy[t]);e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(e),e.fill()),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke()),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let t=0,s=this._upper_sx.length;t<s;t++)e.lineTo(this._upper_sx[t],this._upper_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke())}}s.BandView=n,n.__name__=\"BandView\";class h extends _.Annotation{constructor(e){super(e)}static init_Band(){this.prototype.default_view=n,this.mixins([l.Line,l.Fill]),this.define({lower:[a.DistanceSpec],upper:[a.DistanceSpec],base:[a.DistanceSpec],dimension:[a.Dimension,\"height\"],source:[a.Instance,()=>new o.ColumnDataSource],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}}s.Band=h,h.__name__=\"Band\",h.init_Band()},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),n=t(31),o=t(14),l=s.__importStar(t(23)),a=s.__importStar(t(18)),r=t(88);e.EDGE_TOLERANCE=2.5;class h extends n.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this)),this.connect(this.model.data_update,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;if(null==this.model.left&&null==this.model.right&&null==this.model.top&&null==this.model.bottom)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],e=t.yscales[this.model.y_range_name],s=(t,i,e,s,n)=>{let o;return o=null!=t?this.model.screen?t:\"data\"==i?e.compute(t):s.compute(t):n,o};this.sleft=s(this.model.left,this.model.left_units,i,t.xview,t._left.value),this.sright=s(this.model.right,this.model.right_units,i,t.xview,t._right.value),this.stop=s(this.model.top,this.model.top_units,e,t.yview,t._top.value),this.sbottom=s(this.model.bottom,this.model.bottom_units,e,t.yview,t._bottom.value),this._paint_box(this.sleft,this.sright,this.sbottom,this.stop)}_paint_box(t,i,e,s){const{ctx:n}=this.layer;n.save(),n.beginPath(),n.rect(t,s,i-t,e-s),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill()),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),n.restore()}interactive_bbox(){const t=this.model.properties.line_width.value()+e.EDGE_TOLERANCE;return new r.BBox({x0:this.sleft-t,y0:this.stop-t,x1:this.sright+t,y1:this.sbottom+t})}interactive_hit(t,i){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,i)}cursor(t,i){return Math.abs(t-this.sleft)<3||Math.abs(t-this.sright)<3?this.model.ew_cursor:Math.abs(i-this.sbottom)<3||Math.abs(i-this.stop)<3?this.model.ns_cursor:t>this.sleft&&t<this.sright&&i>this.stop&&i<this.sbottom?this.model.in_cursor:null}}e.BoxAnnotationView=h,h.__name__=\"BoxAnnotationView\";class _ extends n.Annotation{constructor(t){super(t)}static init_BoxAnnotation(){this.prototype.default_view=h,this.mixins([l.Line,l.Fill]),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],top:[a.Number,null],top_units:[a.SpatialUnits,\"data\"],bottom:[a.Number,null],bottom_units:[a.SpatialUnits,\"data\"],left:[a.Number,null],left_units:[a.SpatialUnits,\"data\"],right:[a.Number,null],right_units:[a.SpatialUnits,\"data\"]}),this.internal({screen:[a.Boolean,!1],ew_cursor:[a.String,null],ns_cursor:[a.String,null],in_cursor:[a.String,null]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({left:t,right:i,top:e,bottom:s}){this.setv({left:t,right:i,top:e,bottom:s,screen:!0},{silent:!0}),this.data_update.emit()}}e.BoxAnnotation=_,_.__name__=\"BoxAnnotation\",_.init_BoxAnnotation()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),a=t(31),s=t(109),r=t(113),l=t(115),n=t(120),_=t(130),h=t(131),m=o.__importStar(t(23)),d=o.__importStar(t(18)),c=o.__importStar(t(132)),u=t(9),p=t(12),g=t(8),f=t(11);class b extends a.AnnotationView{initialize(){super.initialize(),this._set_canvas_image()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.visible.change,()=>this.plot_view.request_render()),this.connect(this.model.ticker.change,()=>this.plot_view.request_render()),this.connect(this.model.formatter.change,()=>this.plot_view.request_render()),null!=this.model.color_mapper&&this.connect(this.model.color_mapper.change,()=>{this._set_canvas_image(),this.plot_view.request_render()})}_get_size(){if(null==this.model.color_mapper)return{width:0,height:0};{const{width:t,height:e}=this.compute_legend_dimensions();return{width:t,height:e}}}_set_canvas_image(){if(null==this.model.color_mapper)return;let t,e,{palette:i}=this.model.color_mapper;switch(\"vertical\"==this.model.orientation&&(i=u.reversed(i)),this.model.orientation){case\"vertical\":[t,e]=[1,i.length];break;case\"horizontal\":[t,e]=[i.length,1]}const o=document.createElement(\"canvas\");o.width=t,o.height=e;const a=o.getContext(\"2d\"),s=a.getImageData(0,0,t,e),r=new l.LinearColorMapper({palette:i}).rgba_mapper.v_compute(u.range(0,i.length));s.data.set(r),a.putImageData(s,0,0),this.image=o}compute_legend_dimensions(){const t=this._computed_image_dimensions(),[e,i]=[t.height,t.width],o=this._get_label_extent(),a=this._title_extent(),s=this._tick_extent(),{padding:r}=this.model;let l,n;switch(this.model.orientation){case\"vertical\":l=e+a+2*r,n=i+s+o+2*r;break;case\"horizontal\":l=e+a+s+o+2*r,n=i+2*r}return{width:n,height:l}}compute_legend_location(){const t=this.compute_legend_dimensions(),[e,i]=[t.height,t.width],o=this.model.margin,a=null!=this.panel?this.panel:this.plot_view.frame,[s,r]=a.bbox.ranges,{location:l}=this.model;let n,_;if(g.isString(l))switch(l){case\"top_left\":n=s.start+o,_=r.start+o;break;case\"top_center\":n=(s.end+s.start)/2-i/2,_=r.start+o;break;case\"top_right\":n=s.end-o-i,_=r.start+o;break;case\"bottom_right\":n=s.end-o-i,_=r.end-o-e;break;case\"bottom_center\":n=(s.end+s.start)/2-i/2,_=r.end-o-e;break;case\"bottom_left\":n=s.start+o,_=r.end-o-e;break;case\"center_left\":n=s.start+o,_=(r.end+r.start)/2-e/2;break;case\"center\":n=(s.end+s.start)/2-i/2,_=(r.end+r.start)/2-e/2;break;case\"center_right\":n=s.end-o-i,_=(r.end+r.start)/2-e/2}else if(g.isArray(l)&&2==l.length){const[t,i]=l;n=a.xview.compute(t),_=a.yview.compute(i)-e}else f.unreachable();return{sx:n,sy:_}}render(){if(!this.model.visible||null==this.model.color_mapper)return;const{ctx:t}=this.layer;t.save();const{sx:e,sy:i}=this.compute_legend_location();t.translate(e,i),this._draw_bbox(t);const o=this._get_image_offset();if(t.translate(o.x,o.y),this._draw_image(t),null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high){const e=this.tick_info();this._draw_major_ticks(t,e),this._draw_minor_ticks(t,e),this._draw_major_labels(t,e)}this.model.title&&this._draw_title(t),t.restore()}_draw_bbox(t){const e=this.compute_legend_dimensions();t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(0,0,e.width,e.height)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_image(t){const e=this._computed_image_dimensions();t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this.image,0,0,e.width,e.height),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_major_ticks(t,e){if(!this.visuals.major_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.major,_=this.model.major_tick_in,h=this.model.major_tick_out;t.save(),t.translate(s,r),this.visuals.major_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_minor_ticks(t,e){if(!this.visuals.minor_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.minor,_=this.model.minor_tick_in,h=this.model.minor_tick_out;t.save(),t.translate(s,r),this.visuals.minor_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_major_labels(t,e){if(!this.visuals.major_label_text.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],l=this.model.label_standoff+this._tick_extent(),[n,_]=[l*i,l*o],[h,m]=e.coords.major,d=e.labels.major;this.visuals.major_label_text.set_value(t),t.save(),t.translate(s+n,r+_);for(let e=0,a=h.length;e<a;e++)t.fillText(d[e],Math.round(h[e]+i*this.model.label_standoff),Math.round(m[e]+o*this.model.label_standoff));t.restore()}_draw_title(t){this.visuals.title_text.doit&&(t.save(),this.visuals.title_text.set_value(t),t.fillText(this.model.title,0,-this.model.title_standoff),t.restore())}_get_label_extent(){const t=this.tick_info().labels.major;let e;if(null==this.model.color_mapper.low||null==this.model.color_mapper.high||u.is_empty(t))e=0;else{const{ctx:i}=this.layer;switch(i.save(),this.visuals.major_label_text.set_value(i),this.model.orientation){case\"vertical\":e=u.max(t.map(t=>i.measureText(t.toString()).width));break;case\"horizontal\":e=c.measure_font(this.visuals.major_label_text.font_value()).height}e+=this.model.label_standoff,i.restore()}return e}_get_image_offset(){return{x:this.model.padding,y:this.model.padding+this._title_extent()}}_normals(){return\"vertical\"==this.model.orientation?[1,0]:[0,1]}_title_extent(){const t=this.model.title_text_font+\" \"+this.model.title_text_font_size+\" \"+this.model.title_text_font_style;return this.model.title?c.measure_font(t).height+this.model.title_standoff:0}_tick_extent(){return null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high?u.max([this.model.major_tick_out,this.model.minor_tick_out]):0}_computed_image_dimensions(){const t=this.plot_view.frame._height.value,e=this.plot_view.frame._width.value,i=this._title_extent();let o,a;switch(this.model.orientation){case\"vertical\":\"auto\"==this.model.height?null!=this.panel?o=t-2*this.model.padding-i:(o=u.max([25*this.model.color_mapper.palette.length,.3*t]),o=u.min([o,.8*t-2*this.model.padding-i])):o=this.model.height,a=\"auto\"==this.model.width?25:this.model.width;break;case\"horizontal\":o=\"auto\"==this.model.height?25:this.model.height,\"auto\"==this.model.width?null!=this.panel?a=e-2*this.model.padding:(a=u.max([25*this.model.color_mapper.palette.length,.3*e]),a=u.min([a,.8*e-2*this.model.padding])):a=this.model.width}return{width:a,height:o}}_tick_coordinate_scale(t){const e={source_range:new h.Range1d({start:this.model.color_mapper.low,end:this.model.color_mapper.high}),target_range:new h.Range1d({start:0,end:t})};switch(this.model.color_mapper.type){case\"LinearColorMapper\":return new n.LinearScale(e);case\"LogColorMapper\":return new _.LogScale(e);default:f.unreachable()}}_format_major_labels(t,e){const i=this.model.formatter.doFormat(t,null);for(let t=0,o=e.length;t<o;t++)e[t]in this.model.major_label_overrides&&(i[t]=this.model.major_label_overrides[e[t]]);return i}tick_info(){const t=this._computed_image_dimensions();let e;switch(this.model.orientation){case\"vertical\":e=t.height;break;case\"horizontal\":e=t.width}const i=this._tick_coordinate_scale(e),[o,a]=this._normals(),[s,r]=[this.model.color_mapper.low,this.model.color_mapper.high],l=this.model.ticker.get_ticks(s,r,null,null,this.model.ticker.desired_num_ticks),n=l.major,_=l.minor,h=[[],[]],m=[[],[]];for(let t=0,e=n.length;t<e;t++)n[t]<s||n[t]>r||(h[o].push(n[t]),h[a].push(0));for(let t=0,e=_.length;t<e;t++)_[t]<s||_[t]>r||(m[o].push(_[t]),m[a].push(0));const d={major:this._format_major_labels(h[o],n)},c={major:[[],[]],minor:[[],[]]};return c.major[o]=i.v_compute(h[o]),c.minor[o]=i.v_compute(m[o]),c.major[a]=h[a],c.minor[a]=m[a],\"vertical\"==this.model.orientation&&(c.major[o]=p.map(c.major[o],t=>e-t),c.minor[o]=p.map(c.minor[o],t=>e-t)),{coords:c,labels:d}}}i.ColorBarView=b,b.__name__=\"ColorBarView\";class v extends a.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=b,this.mixins([[\"major_label_\",m.Text],[\"title_\",m.Text],[\"major_tick_\",m.Line],[\"minor_tick_\",m.Line],[\"border_\",m.Line],[\"bar_\",m.Line],[\"background_\",m.Fill]]),this.define({location:[d.Any,\"top_right\"],orientation:[d.Orientation,\"vertical\"],title:[d.String],title_standoff:[d.Number,2],width:[d.Any,\"auto\"],height:[d.Any,\"auto\"],scale_alpha:[d.Number,1],ticker:[d.Instance,()=>new s.BasicTicker],formatter:[d.Instance,()=>new r.BasicTickFormatter],major_label_overrides:[d.Any,{}],color_mapper:[d.Instance],label_standoff:[d.Number,5],margin:[d.Number,30],padding:[d.Number,10],major_tick_in:[d.Number,5],major_tick_out:[d.Number,0],minor_tick_in:[d.Number,0],minor_tick_out:[d.Number,0]}),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_align:\"center\",major_label_text_baseline:\"middle\",major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}}i.ColorBar=v,v.__name__=\"ColorBar\",v.init_ColorBar()},\n",
+       "      function _(e,c,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(110);class r extends i.AdaptiveTicker{constructor(e){super(e)}}s.BasicTicker=r,r.__name__=\"BasicTicker\"},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(111),n=t(9),r=a.__importStar(t(18));class _ extends s.ContinuousTicker{constructor(t){super(t)}static init_AdaptiveTicker(){this.define({base:[r.Number,10],mantissas:[r.Array,[1,2,5]],min_interval:[r.Number,0],max_interval:[r.Number]})}initialize(){super.initialize();const t=n.nth(this.mantissas,-1)/this.base,i=n.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,e){const a=i-t,s=this.get_ideal_interval(t,i,e),r=Math.floor(function(t,i=Math.E){return Math.log(t)/Math.log(i)}(s/this.base_factor,this.base)),_=this.base**r*this.base_factor,h=this.extended_mantissas,m=h.map(t=>Math.abs(e-a/(t*_))),o=h[n.argmin(m)];return c=o*_,l=this.get_min_interval(),u=this.get_max_interval(),Math.max(l,Math.min(u,c));var c,l,u}}e.AdaptiveTicker=_,_.__name__=\"AdaptiveTicker\",_.init_AdaptiveTicker()},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),r=t(112),s=n.__importStar(t(18)),o=t(9);class _ extends r.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define({num_minor_ticks:[s.Number,5],desired_num_ticks:[s.Number,6]})}get_ticks(t,i,e,n,r){return this.get_ticks_no_defaults(t,i,n,this.desired_num_ticks)}get_ticks_no_defaults(t,i,e,n){const r=this.get_interval(t,i,n),s=Math.floor(t/r),_=Math.ceil(i/r);let c;c=isNaN(s)||isNaN(_)?[]:o.range(s,_+1);const u=c.map(t=>t*r).filter(e=>t<=e&&e<=i),a=this.num_minor_ticks,l=[];if(a>0&&u.length>0){const e=r/a,n=o.range(0,a).map(t=>t*e);for(const e of n.slice(1)){const n=u[0]-e;t<=n&&n<=i&&l.push(n)}for(const e of u)for(const r of n){const n=e+r;t<=n&&n<=i&&l.push(n)}}return{major:u,minor:l}}get_min_interval(){return this.min_interval}get_max_interval(){return null!=this.max_interval?this.max_interval:1/0}get_ideal_interval(t,i,e){return(i-t)/e}}e.ContinuousTicker=_,_.__name__=\"ContinuousTicker\",_.init_ContinuousTicker()},\n",
+       "      function _(e,c,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(71);class r extends o.Model{constructor(e){super(e)}}n.Ticker=r,r.__name__=\"Ticker\"},\n",
+       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),s=i(114),n=r.__importStar(i(18));class o extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define({precision:[n.Any,\"auto\"],use_scientific:[n.Boolean,!0],power_limit_high:[n.Number,5],power_limit_low:[n.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,r=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const s of i){const i=Math.abs(s);if(!(i<=r)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){const r=new Array(i.length);if(t)for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toExponential(e);else for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toFixed(e).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");return r}_auto_precision(i,t){const e=new Array(i.length),r=this.last_precision<=15;i:for(let s=this.last_precision;r?s<=15:s>=1;r?s++:s--){if(t){e[0]=i[0].toExponential(s);for(let t=1;t<i.length;t++)if(e[t]==e[t-1])continue i;this.last_precision=s;break}e[0]=i[0].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");for(let t=1;t<i.length;t++)if(e[t]=i[t].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"),e[t]==e[t-1])continue i;this.last_precision=s;break}return this.last_precision}doFormat(i,t){if(0==i.length)return[];const e=this._need_sci(i),r=\"auto\"==this.precision?this._auto_precision(i,e):this.precision;return this._format_with_precision(i,e,r)}}e.BasicTickFormatter=o,o.__name__=\"BasicTickFormatter\",o.init_BasicTickFormatter()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class c extends r.Model{constructor(e){super(e)}}o.TickFormatter=c,c.__name__=\"TickFormatter\"},\n",
+       "      function _(o,n,l){Object.defineProperty(l,\"__esModule\",{value:!0});const e=o(116),t=o(12);class i extends e.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,n,l,e){const{nan_color:i,low_color:r,high_color:s}=e,c=null!=this.low?this.low:t.min(o),h=null!=this.high?this.high:t.max(o),u=l.length-1,a=1/(h-c),_=1/l.length;for(let e=0,t=o.length;e<t;e++){const t=o[e];if(isNaN(t)){n[e]=i;continue}if(t==h){n[e]=l[u];continue}const p=(t-c)*a,f=Math.floor(p/_);n[e]=f<0?null!=r?r:l[0]:f>u?null!=s?s:l[u]:l[f]}}}l.LinearColorMapper=i,i.__name__=\"LinearColorMapper\"},\n",
+       "      function _(o,r,l){Object.defineProperty(l,\"__esModule\",{value:!0});const i=o(1),t=o(117),e=i.__importStar(o(18));class s extends t.ColorMapper{constructor(o){super(o)}static init_ContinuousColorMapper(){this.define({high:[e.Number],low:[e.Number],high_color:[e.Color],low_color:[e.Color]})}_colors(o){return Object.assign(Object.assign({},super._colors(o)),{low_color:null!=this.low_color?o(this.low_color):void 0,high_color:null!=this.high_color?o(this.high_color):void 0})}}l.ContinuousColorMapper=s,s.__name__=\"ContinuousColorMapper\",s.init_ContinuousColorMapper()},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(118),_=n.__importStar(t(18)),i=t(8),l=t(20),c=t(28);function a(t){return i.isNumber(t)?t:(\"#\"!=t[0]&&(t=l.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function s(t){const e=new Uint32Array(t.length);for(let r=0,n=t.length;r<n;r++)e[r]=a(t[r]);return e}function p(t){if(c.is_little_endian){const e=new DataView(t.buffer);for(let r=0,n=t.length;r<n;r++)e.setUint32(4*r,t[r])}return new Uint8Array(t.buffer)}r._convert_color=a,r._convert_palette=s,r._uint32_to_rgba=p;class u extends o.Mapper{constructor(t){super(t)}static init_ColorMapper(){this.define({palette:[_.Any],nan_color:[_.Color,\"gray\"]})}v_compute(t){const e=new Array(t.length);return this._v_compute(t,e,this.palette,this._colors(t=>t)),e}get rgba_mapper(){const t=this,e=s(this.palette),r=this._colors(a);return{v_compute(n){const o=new Uint32Array(n.length);return t._v_compute(n,o,e,r),p(o)}}}_colors(t){return{nan_color:t(this.nan_color)}}}r.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n",
+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(119);class s extends o.Transform{constructor(e){super(e)}compute(e){throw new Error(\"mapping single values is not supported\")}}n.Mapper=s,s.__name__=\"Mapper\"},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class s extends r.Model{constructor(e){super(e)}}o.Transform=s,s.__name__=\"Transform\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(121);class _ extends r.ContinuousScale{constructor(e){super(e)}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const c=e(122);class s extends c.Scale{constructor(e){super(e)}}o.ContinuousScale=s,s.__name__=\"ContinuousScale\"},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),_=t(123),s=n.__importStar(t(18));class i extends _.Transform{constructor(t){super(t)}static init_Scale(){this.internal({source_range:[s.Any],target_range:[s.Any]})}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=e*t[_]+r;return n}_linear_invert(t){const[e,r]=this._linear_compute_state();return(t-r)/e}_linear_v_invert(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=(t[_]-r)/e;return n}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,r=this.target_range.start,n=(this.target_range.end-r)/(e-t);return[n,-n*t+r]}}r.Scale=i,i.__name__=\"Scale\",i.init_Scale()},\n",
+       "      function _(r,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=r(124);t.CustomJSTransform=e.CustomJSTransform;var a=r(125);t.Dodge=a.Dodge;var n=r(126);t.Interpolator=n.Interpolator;var p=r(127);t.Jitter=p.Jitter;var l=r(128);t.LinearInterpolator=l.LinearInterpolator;var v=r(129);t.StepInterpolator=v.StepInterpolator;var s=r(119);t.Transform=s.Transform},\n",
+       "      function _(t,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),e=t(119),a=n.__importStar(t(18)),o=t(17),u=t(24);class i extends e.Transform{constructor(t){super(t)}static init_CustomJSTransform(){this.define({args:[a.Any,{}],func:[a.String,\"\"],v_func:[a.String,\"\"]})}get names(){return o.keys(this.args)}get values(){return o.values(this.args)}_make_transform(t,r){return new Function(...this.names,t,u.use_strict(r))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(t){return this.scalar_transform(...this.values,t)}v_compute(t){return this.vector_transform(...this.values,t)}}s.CustomJSTransform=i,i.__name__=\"CustomJSTransform\",i.init_CustomJSTransform()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(1),o=e(119),i=e(90),s=n.__importStar(e(18)),a=e(8);class c extends o.Transform{constructor(e){super(e)}static init_Dodge(){this.define({value:[s.Number,0],range:[s.Instance]})}v_compute(e){let t;if(this.range instanceof i.FactorRange)t=this.range.v_synthetic(e);else{if(!a.isArrayableOf(e,a.isNumber))throw new Error(\"unexpected\");t=e}const r=new Float64Array(t.length);for(let e=0;e<t.length;e++){const n=t[e];r[e]=this._compute(n)}return r}compute(e){if(this.range instanceof i.FactorRange)return this._compute(this.range.synthetic(e));if(a.isNumber(e))return this._compute(e);throw new Error(\"unexpected\")}_compute(e){return e+this.value}}r.Dodge=c,c.__name__=\"Dodge\",c.init_Dodge()},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(119),n=s.__importStar(t(18)),i=t(9),a=t(8);class h extends o.Transform{constructor(t){super(t),this._sorted_dirty=!0}static init_Interpolator(){this.define({x:[n.Any],y:[n.Any],data:[n.Any],clip:[n.Boolean,!0]})}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._sorted_dirty=!0)}v_compute(t){const e=new Float64Array(t.length);for(let r=0;r<t.length;r++){const s=t[r];e[r]=this.compute(s)}return e}sort(t=!1){if(!this._sorted_dirty)return;let e,r;if(a.isString(this.x)&&a.isString(this.y)&&null!=this.data){const t=this.data.columns();if(!i.includes(t,this.x))throw new Error(\"The x parameter does not correspond to a valid column name defined in the data parameter\");if(!i.includes(t,this.y))throw new Error(\"The y parameter does not correspond to a valid column name defined in the data parameter\");e=this.data.get_column(this.x),r=this.data.get_column(this.y)}else{if(!a.isArray(this.x)||!a.isArray(this.y))throw new Error(\"parameters 'x' and 'y' must be both either string fields or arrays\");e=this.x,r=this.y}if(e.length!==r.length)throw new Error(\"The length for x and y do not match\");if(e.length<2)throw new Error(\"x and y must have at least two elements to support interpolation\");const s=[];for(const t in e)s.push({x:e[t],y:r[t]});t?s.sort((t,e)=>t.x>e.x?-1:t.x==e.x?0:1):s.sort((t,e)=>t.x<e.x?-1:t.x==e.x?0:1),this._x_sorted=[],this._y_sorted=[];for(const{x:t,y:e}of s)this._x_sorted.push(t),this._y_sorted.push(e);this._sorted_dirty=!1}}r.Interpolator=h,h.__name__=\"Interpolator\",h.init_Interpolator()},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),n=t(119),s=t(90),o=t(8),u=i.__importStar(t(18)),a=i.__importStar(t(10));class h extends n.Transform{constructor(t){super(t)}static init_Jitter(){this.define({mean:[u.Number,0],width:[u.Number,1],distribution:[u.Distribution,\"uniform\"],range:[u.Instance]}),this.internal({previous_values:[u.Array]})}v_compute(t){if(null!=this.previous_values&&this.previous_values.length==t.length)return this.previous_values;let e;if(this.range instanceof s.FactorRange)e=this.range.v_synthetic(t);else{if(!o.isArrayableOf(t,o.isNumber))throw new Error(\"unexpected\");e=t}const r=new Float64Array(e.length);for(let t=0;t<e.length;t++){const i=e[t];r[t]=this._compute(i)}return this.previous_values=r,r}compute(t){if(this.range instanceof s.FactorRange)return this._compute(this.range.synthetic(t));if(o.isNumber(t))return this._compute(t);throw new Error(\"unexpected\")}_compute(t){switch(this.distribution){case\"uniform\":return t+this.mean+(a.random()-.5)*this.width;case\"normal\":return t+a.rnorm(this.mean,this.width)}}}r.Jitter=h,h.__name__=\"Jitter\",h.init_Jitter()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const _=t(9),r=t(126);class o extends r.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=_.find_last_index(this._x_sorted,s=>s<t),e=this._x_sorted[s],r=this._x_sorted[s+1],o=this._y_sorted[s],i=this._y_sorted[s+1];return o+(t-e)/(r-e)*(i-o)}}e.LinearInterpolator=o,o.__name__=\"LinearInterpolator\"},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(126),_=s.__importStar(t(18)),i=t(9);class n extends o.Interpolator{constructor(t){super(t)}static init_StepInterpolator(){this.define({mode:[_.StepMode,\"after\"]})}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=i.find_last_index(this._x_sorted,e=>t>=e);break;case\"before\":e=i.find_index(this._x_sorted,e=>t<=e);break;case\"center\":{const r=this._x_sorted.map(e=>Math.abs(e-t)),s=i.min(r);e=i.find_index(r,t=>s===t);break}default:throw new Error(\"unknown mode: \"+this.mode)}return-1!=e?this._y_sorted[e]:NaN}}r.StepInterpolator=n,n.__name__=\"StepInterpolator\",n.init_StepInterpolator()},\n",
+       "      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(121);class s extends a.ContinuousScale{constructor(t){super(t)}compute(t){const[e,o,a,s]=this._compute_state();let n;if(0==a)n=0;else{const r=(Math.log(t)-s)/a;n=isFinite(r)?r*e+o:NaN}return n}v_compute(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);if(0==a)for(let e=0;e<t.length;e++)n[e]=0;else for(let r=0;r<t.length;r++){const l=(Math.log(t[r])-s)/a;let c;c=isFinite(l)?l*e+o:NaN,n[r]=c}return n}invert(t){const[e,o,a,s]=this._compute_state(),n=(t-o)/e;return Math.exp(a*n+s)}v_invert(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);for(let r=0;r<t.length;r++){const l=(t[r]-o)/e;n[r]=Math.exp(a*l+s)}return n}_get_safe_factor(t,e){let o=t<0?0:t,a=e<0?0:e;if(o==a)if(0==o)[o,a]=[1,10];else{const t=Math.log(o)/Math.log(10);o=10**Math.floor(t),a=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[o,a]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,o=this.target_range.start,a=this.target_range.end-o,[s,n]=this._get_safe_factor(t,e);let r,l;return 0==s?(r=Math.log(n),l=0):(r=Math.log(n)-Math.log(s),l=Math.log(s)),[a,o,r,l]}}o.LogScale=s,s.__name__=\"LogScale\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(91),r=i.__importStar(t(18));class a extends n.Range{constructor(t){super(t)}static init_Range1d(){this.define({start:[r.Number,0],end:[r.Number,1],reset_start:[r.Number],reset_end:[r.Number]})}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this.reset_start,this.reset_end),e=Math.max(this.reset_start,this.reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),null==this.reset_start&&(this.reset_start=this.start),null==this.reset_end&&(this.reset_end=this.end),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds(),this.start!=this.reset_start||this.end!=this.reset_end?this.setv({start:this.reset_start,end:this.reset_end}):this.change.emit()}}s.Range1d=a,a.__name__=\"Range1d\",a.init_Range1d()},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=t(68),i=new Map;n.measure_font=function(t){const e=i.get(t);if(null!=e)return e;const n=o.span({style:{font:t}},\"Hg\"),l=o.div({style:{display:\"inline-block\",width:\"1px\",height:\"0px\"}}),s=o.div({},n,l);document.body.appendChild(s);try{l.style.verticalAlign=\"baseline\";const e=o.offset(l).top-o.offset(n).top;l.style.verticalAlign=\"bottom\";const d=o.offset(l).top-o.offset(n).top,c={height:d,ascent:e,descent:d-e};return i.set(t,c),c}finally{document.body.removeChild(s)}};const l=new Map;n.measure_text=function(t,e){let n=l.get(e);if(null!=n){const e=n.get(t);if(null!=e)return e}else n=new Map,l.set(e,n);const i=o.div({style:{display:\"inline-block\",\"white-space\":\"nowrap\",font:e}},t);document.body.appendChild(i);try{const{width:e,height:o}=i.getBoundingClientRect();return n.set(t,{width:e,height:o}),{width:e,height:o}}finally{document.body.removeChild(i)}}},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(134),l=e(68),n=s.__importStar(e(23)),o=s.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.warm_cache()}_get_size(){const{ctx:e}=this.layer;this.visuals.text.set_value(e);const{width:t,ascent:i}=e.measureText(this.model.text);return{width:t,height:i}}render(){if(this.model.visible||\"css\"!=this.model.render_mode||l.undisplay(this.el),!this.model.visible)return;let e;switch(this.model.angle_units){case\"rad\":e=-this.model.angle;break;case\"deg\":e=-this.model.angle*Math.PI/180}const t=null!=this.panel?this.panel:this.plot_view.frame,i=this.plot_view.frame.xscales[this.model.x_range_name],s=this.plot_view.frame.yscales[this.model.y_range_name];let a=\"data\"==this.model.x_units?i.compute(this.model.x):t.xview.compute(this.model.x),n=\"data\"==this.model.y_units?s.compute(this.model.y):t.yview.compute(this.model.y);a+=this.model.x_offset,n-=this.model.y_offset,(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,a,n,e)}}i.LabelView=_,_.__name__=\"LabelView\";class r extends a.TextAnnotation{constructor(e){super(e)}static init_Label(){this.prototype.default_view=_,this.mixins([n.Text,[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({x:[o.Number],x_units:[o.SpatialUnits,\"data\"],y:[o.Number],y_units:[o.SpatialUnits,\"data\"],text:[o.String],angle:[o.Angle,0],angle_units:[o.AngleUnits,\"rad\"],x_offset:[o.Number,0],y_offset:[o.Number,0],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}i.Label=r,r.__name__=\"Label\",r.init_Label()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=e(31),a=e(68),n=i.__importStar(e(18)),o=e(132),r=e(11);class _ extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&this.plot_view.canvas_view.add_overlay(this.el)}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,()=>this.render()):this.connect(this.model.change,()=>this.plot_view.request_render())}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=o.measure_font(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let l,a;switch(e.textAlign){case\"left\":l=0;break;case\"center\":l=-s/2;break;case\"right\":l=-s;break;default:r.unreachable()}switch(e.textBaseline){case\"top\":a=0;break;case\"middle\":a=-.5*i;break;case\"bottom\":a=-1*i;break;case\"alphabetic\":a=-.8*i;break;case\"hanging\":a=-.17*i;break;case\"ideographic\":a=-.83*i;break;default:r.unreachable()}return[l,a,s,i]}_canvas_text(e,t,s,i,l){this.visuals.text.set_value(e);const a=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),l&&e.rotate(l),e.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,l){a.undisplay(this.el),this.visuals.text.set_value(e);const n=this._calculate_bounding_box_dimensions(e,t),o=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_value(e),this.visuals.background_fill.set_value(e),this.el.style.position=\"absolute\",this.el.style.left=s+n[0]+\"px\",this.el.style.top=i+n[1]+\"px\",this.el.style.color=\"\"+this.visuals.text.text_color.value(),this.el.style.opacity=\"\"+this.visuals.text.text_alpha.value(),this.el.style.font=\"\"+this.visuals.text.font_value(),this.el.style.lineHeight=\"normal\",l&&(this.el.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(this.el.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(this.el.style.borderStyle=\"\"+o,this.el.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",this.el.style.borderColor=\"\"+this.visuals.border_line.color_value()),this.el.textContent=t,a.display(this.el)}}s.TextAnnotationView=_,_.__name__=\"TextAnnotationView\";class h extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define({render_mode:[n.RenderMode,\"canvas\"]})}}s.TextAnnotation=h,h.__name__=\"TextAnnotation\",h.init_TextAnnotation()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(134),o=t(76),a=i.__importStar(t(23)),n=t(68),r=i.__importStar(t(18));class _ extends l.TextAnnotationView{initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this._text.length;t<e;t++){const t=n.div({style:{display:\"none\"}});this.el.appendChild(t)}}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.render()})):(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}))}set_data(t){super.set_data(t),this.visuals.warm_cache(t)}_map_data(){const t=this.plot_view.frame.xscales[this.model.x_range_name],e=this.plot_view.frame.yscales[this.model.y_range_name],s=null!=this.panel?this.panel:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.yview.v_compute(this._y)]}render(){if(this.model.visible||\"css\"!=this.model.render_mode||n.undisplay(this.el),!this.model.visible)return;const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer,[s,i]=this._map_data();for(let l=0,o=this._text.length;l<o;l++)t(e,l,this._text[l],s[l]+this._x_offset[l],i[l]-this._y_offset[l],this._angle[l])}_get_size(){const{ctx:t}=this.layer;this.visuals.text.set_value(t);const{width:e,ascent:s}=t.measureText(this._text[0]);return{width:e,height:s}}_v_canvas_text(t,e,s,i,l,o){this.visuals.text.set_vectorize(t,e);const a=this._calculate_bounding_box_dimensions(t,s);t.save(),t.beginPath(),t.translate(i,l),t.rotate(o),t.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),t.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),t.stroke()),this.visuals.text.doit&&(this.visuals.text.set_vectorize(t,e),t.fillText(s,0,0)),t.restore()}_v_css_text(t,e,s,i,l,o){const a=this.el.children[e];a.textContent=s,this.visuals.text.set_vectorize(t,e);const r=this._calculate_bounding_box_dimensions(t,s),_=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_vectorize(t,e),this.visuals.background_fill.set_vectorize(t,e),a.style.position=\"absolute\",a.style.left=i+r[0]+\"px\",a.style.top=l+r[1]+\"px\",a.style.color=\"\"+this.visuals.text.text_color.value(),a.style.opacity=\"\"+this.visuals.text.text_alpha.value(),a.style.font=\"\"+this.visuals.text.font_value(),a.style.lineHeight=\"normal\",o&&(a.style.transform=`rotate(${o}rad)`),this.visuals.background_fill.doit&&(a.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(a.style.borderStyle=\"\"+_,a.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",a.style.borderColor=\"\"+this.visuals.border_line.color_value()),n.display(a)}}s.LabelSetView=_,_.__name__=\"LabelSetView\";class h extends l.TextAnnotation{constructor(t){super(t)}static init_LabelSet(){this.prototype.default_view=_,this.mixins([a.TextVector,[\"border_\",a.LineVector],[\"background_\",a.FillVector]]),this.define({x:[r.NumberSpec],y:[r.NumberSpec],x_units:[r.SpatialUnits,\"data\"],y_units:[r.SpatialUnits,\"data\"],text:[r.StringSpec,{field:\"text\"}],angle:[r.AngleSpec,0],x_offset:[r.NumberSpec,{value:0}],y_offset:[r.NumberSpec,{value:0}],source:[r.Instance,()=>new o.ColumnDataSource],x_range_name:[r.String,\"default\"],y_range_name:[r.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=h,h.__name__=\"LabelSet\",h.init_LabelSet()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(31),n=s.__importStar(t(23)),h=s.__importStar(t(18)),a=t(14),o=t(132),_=t(88),r=t(9),d=t(8),c=t(11);class g extends l.AnnotationView{cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.visuals.border_line.line_color.value()?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.item_change,()=>this.plot_view.request_render())}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:s,label_width:l}=this.model;this.max_label_height=r.max([o.measure_font(this.visuals.label_text.font_value()).height,s,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,r.max([n.measureText(e).width,l]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?o.measure_font(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const h=Math.max(r.max([...this.text_widths.values()]),0),a=this.model.margin,{legend_padding:g}=this,m=this.model.spacing,{label_standoff:b}=this.model;let u,f;if(\"vertical\"==this.model.orientation)u=t.length*this.max_label_height+Math.max(t.length-1,0)*m+2*g+this.title_height,f=r.max([h+i+b+2*g,this.title_width+2*g]);else{let e=2*g+Math.max(t.length-1,0)*m;for(const[,t]of this.text_widths)e+=r.max([t,l])+i+b;f=r.max([this.title_width+2*g,e]),u=this.max_label_height+this.title_height+2*g}const x=null!=this.panel?this.panel:this.plot_view.frame,[p,v]=x.bbox.ranges,{location:w}=this.model;let y,k;if(d.isString(w))switch(w){case\"top_left\":y=p.start+a,k=v.start+a;break;case\"top_center\":y=(p.end+p.start)/2-f/2,k=v.start+a;break;case\"top_right\":y=p.end-a-f,k=v.start+a;break;case\"bottom_right\":y=p.end-a-f,k=v.end-a-u;break;case\"bottom_center\":y=(p.end+p.start)/2-f/2,k=v.end-a-u;break;case\"bottom_left\":y=p.start+a,k=v.end-a-u;break;case\"center_left\":y=p.start+a,k=(v.end+v.start)/2-u/2;break;case\"center\":y=(p.end+p.start)/2-f/2,k=(v.end+v.start)/2-u/2;break;case\"center_right\":y=p.end-a-f,k=(v.end+v.start)/2-u/2}else if(d.isArray(w)&&2==w.length){const[t,e]=w;y=x.xview.compute(t),k=x.yview.compute(e)-u}else c.unreachable();return new _.BBox({left:y,top:k,width:f,height:u})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=i=l;const o=this.compute_legend_bbox(),r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop();for(const g of c){const c=o.x+a,m=o.y+i+this.title_height;let b,u;if([b,u]=r?[o.width-2*l,this.max_label_height]:[this.text_widths.get(g)+s+h,this.max_label_height],new _.BBox({left:c,top:m,width:b,height:u}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of d.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of d.renderers)t.muted=!t.muted}return!0}r?i+=this.max_label_height+n:a+=this.text_widths.get(g)+s+h+n}}return!1}render(){if(!this.model.visible)return;if(0==this.model.items.length)return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this.model.title&&this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=l,o=l;const _=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop(),g=d.get_field_from_label_prop();if(0==c.length)continue;const m=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return r.every(d.renderers,t=>t.visible);case\"mute\":return r.every(d.renderers,t=>!t.muted)}})();for(const r of c){const c=e.x+a,b=e.y+o+this.title_height,u=c+i,f=b+s;_?o+=this.max_label_height+n:a+=this.text_widths.get(r)+i+h+n,this.visuals.label_text.set_value(t),t.fillText(r,u+h,b+this.max_label_height/2);for(const e of d.renderers){this.plot_view.renderer_views.get(e).draw_legend(t,c,u,b,f,g,r,d.index)}if(!m){let s,n;[s,n]=_?[e.width-2*l,this.max_label_height]:[this.text_widths.get(r)+i+h,this.max_label_height],t.beginPath(),t.rect(c,b,s,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(this.model.title,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=g,g.__name__=\"LegendView\";class m extends l.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new a.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=g,this.mixins([[\"label_\",n.Text],[\"title_\",n.Text],[\"inactive_\",n.Fill],[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({orientation:[h.Orientation,\"vertical\"],location:[h.Any,\"top_right\"],title:[h.String],title_standoff:[h.Number,5],label_standoff:[h.Number,5],glyph_height:[h.Number,20],glyph_width:[h.Number,20],label_height:[h.Number,20],label_width:[h.Number,20],margin:[h.Number,10],padding:[h.Number,10],spacing:[h.Number,3],items:[h.Array,[]],click_policy:[h.Any,\"none\"]}),this.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=m,m.__name__=\"Legend\",m.init_Legend()},\n",
+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),l=e(71),i=e(77),s=e(138),_=t.__importStar(e(18)),o=e(72),a=e(9);class u extends l.Model{constructor(e){super(e)}static init_LegendItem(){this.define({label:[_.StringSpec,null],renderers:[_.Array,[]],index:[_.Number,null]})}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!a.includes(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,()=>{null!=this.legend&&this.legend.item_change.emit()}),this._check_data_sources_on_renderers()||o.logger.error(\"Non matching data sources on legend item renderers\"),this._check_field_label_on_data_source()||o.logger.error(\"Bad column name on label: \"+this.label)}get_field_from_label_prop(){const{label:e}=this;return s.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(s.isValue(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof i.ColumnarDataSource){const n=r.get_column(e);return null!=n?a.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=u,u.__name__=\"LegendItem\",u.init_LegendItem()},\n",
+       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(8);n.isValue=function(e){return t.isPlainObject(e)&&\"value\"in e},n.isField=function(e){return t.isPlainObject(e)&&\"field\"in e}},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(31),l=n.__importStar(t(23)),o=t(14),a=n.__importStar(t(18));class r extends s.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render())}render(){if(!this.model.visible)return;const{xs:t,ys:e}=this.model;if(t.length!=e.length)return;if(t.length<3||e.length<3)return;const{frame:i}=this.plot_view,{ctx:n}=this.layer;for(let s=0,l=t.length;s<l;s++){let l,o;if(\"screen\"!=this.model.xs_units)throw new Error(\"not implemented\");if(l=this.model.screen?t[s]:i.xview.compute(t[s]),\"screen\"!=this.model.ys_units)throw new Error(\"not implemented\");o=this.model.screen?e[s]:i.yview.compute(e[s]),0==s?(n.beginPath(),n.moveTo(l,o)):n.lineTo(l,o)}n.closePath(),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill())}}i.PolyAnnotationView=r,r.__name__=\"PolyAnnotationView\";class _ extends s.Annotation{constructor(t){super(t)}static init_PolyAnnotation(){this.prototype.default_view=r,this.mixins([l.Line,l.Fill]),this.define({xs:[a.Array,[]],xs_units:[a.SpatialUnits,\"data\"],ys:[a.Array,[]],ys_units:[a.SpatialUnits,\"data\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.internal({screen:[a.Boolean,!1]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({xs:t,ys:e}){this.setv({xs:t,ys:e,screen:!0},{silent:!0}),this.data_update.emit()}}i.PolyAnnotation=_,_.__name__=\"PolyAnnotation\",_.init_PolyAnnotation()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(31),l=n.__importStar(e(23)),o=n.__importStar(e(18));class r extends s.AnnotationView{initialize(){super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render())}render(){this.model.visible&&this._draw_slope()}_draw_slope(){const e=this.model.gradient,t=this.model.y_intercept;if(null==e||null==t)return;const{frame:i}=this.plot_view,n=i.xscales[this.model.x_range_name],s=i.yscales[this.model.y_range_name],l=i._top.value,o=l+i._height.value,r=(s.invert(l)-t)/e,a=(s.invert(o)-t)/e,_=n.compute(r),c=n.compute(a),{ctx:u}=this.layer;u.save(),u.beginPath(),this.visuals.line.set_value(u),u.moveTo(_,l),u.lineTo(c,o),u.stroke(),u.restore()}}i.SlopeView=r,r.__name__=\"SlopeView\";class a extends s.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=r,this.mixins(l.Line),this.define({gradient:[o.Number,null],y_intercept:[o.Number,null],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({line_color:\"black\"})}}i.Slope=a,a.__name__=\"Slope\",a.init_Slope()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),o=e(31),s=n.__importStar(e(23)),a=n.__importStar(e(18));class l extends o.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],n=t.yscales[this.model.y_range_name],o=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,a,l,r;\"width\"==this.model.dimension?(l=o(n,t.yview),a=t._left.value,r=t._width.value,s=this.model.properties.line_width.value()):(l=t._top.value,a=o(i,t.xview),r=this.model.properties.line_width.value(),s=t._height.value);const{ctx:_}=this.layer;_.save(),_.beginPath(),this.visuals.line.set_value(_),_.moveTo(a,l),\"width\"==this.model.dimension?_.lineTo(a+r,l):_.lineTo(a,l+s),_.stroke(),_.restore()}}i.SpanView=l,l.__name__=\"SpanView\";class r extends o.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=l,this.mixins(s.Line),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],location:[a.Number,null],location_units:[a.SpatialUnits,\"data\"],dimension:[a.Dimension,\"width\"]}),this.override({line_color:\"black\"}),this.internal({for_hover:[a.Boolean,!1]})}}i.Span=r,r.__name__=\"Span\",r.init_Span()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1),a=e(134),s=e(68),n=e(70),o=l.__importStar(e(23)),r=l.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.text=new n.Text(this.model)}_get_location(){const e=this.panel,t=this.model.offset;let i,l;switch(e.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":l=e._top.value+5;break;case\"middle\":l=e._vcenter.value;break;case\"bottom\":l=e._bottom.value-5}switch(this.model.align){case\"left\":i=e._left.value+t;break;case\"center\":i=e._hcenter.value;break;case\"right\":i=e._right.value-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=e._left.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._right.value+5}switch(this.model.align){case\"left\":l=e._bottom.value-t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._top.value+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=e._right.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._left.value+5}switch(this.model.align){case\"left\":l=e._top.value+t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._bottom.value-t}}return[i,l]}render(){if(!this.model.visible)return void(\"css\"==this.model.render_mode&&s.undisplay(this.el));const{text:e}=this.model;if(null==e||0==e.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[t,i]=this._get_location(),l=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,e,t,i,l)}_get_size(){const{text:e}=this.model;if(null==e||0==e.length)return{width:0,height:0};{this.visuals.text.set_value(this.layer.ctx);const{width:t,ascent:i}=this.layer.ctx.measureText(e);return{width:t,height:i*this.visuals.text.text_line_height.value()+10}}}}i.TitleView=_,_.__name__=\"TitleView\";class c extends a.TextAnnotation{constructor(e){super(e)}static init_Title(){this.prototype.default_view=_,this.mixins([[\"border_\",o.Line],[\"background_\",o.Fill]]),this.define({text:[r.String],text_font:[r.Font,\"helvetica\"],text_font_size:[r.StringSpec,\"13px\"],text_font_style:[r.FontStyle,\"bold\"],text_color:[r.ColorSpec,\"#444444\"],text_alpha:[r.NumberSpec,1],text_line_height:[r.Number,1],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[r.Number,0]}),this.override({background_fill_color:null,border_line_color:null}),this.internal({text_align:[r.TextAlign,\"left\"],text_baseline:[r.TextBaseline,\"bottom\"]})}}i.Title=c,c.__name__=\"Title\",c.init_Title()},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(31),s=e(99),a=e(68),n=o.__importStar(e(18));class r extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){this._toolbar_view=await s.build_view(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push(e=>this._toolbar_view.set_visibility(e))}remove(){this._toolbar_view.remove(),super.remove()}render(){super.render(),this.model.visible?(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",a.position(this.el,this.panel.bbox),this._toolbar_view.render(),a.empty(this.el),this.el.appendChild(this._toolbar_view.el),a.display(this.el)):a.undisplay(this.el)}_get_size(){const{tools:e,logo:i}=this.model.toolbar;return{width:30*e.length+(null!=i?25:0),height:30}}}t.ToolbarPanelView=r,r.__name__=\"ToolbarPanelView\";class _ extends l.Annotation{constructor(e){super(e)}static init_ToolbarPanel(){this.prototype.default_view=r,this.define({toolbar:[n.Instance]})}}t.ToolbarPanel=_,_.__name__=\"ToolbarPanel\",_.init_ToolbarPanel()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(31),o=t(68),a=i.__importStar(t(18)),h=t(145),n=t(146),r=i.__importDefault(t(147));function c(t,e,s,i,l){switch(t){case\"horizontal\":return e<i?\"right\":\"left\";case\"vertical\":return s<l?\"below\":\"above\";default:return t}}s.compute_side=c;class d extends l.AnnotationView{initialize(){super.initialize(),this.plot_view.canvas_view.add_overlay(this.el),o.undisplay(this.el)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>this._draw_tips())}styles(){return[...super.styles(),r.default]}css_classes(){return super.css_classes().concat(h.bk_tooltip)}render(){this.model.visible&&this._draw_tips()}_draw_tips(){const{data:t}=this.model;if(o.empty(this.el),o.undisplay(this.el),this.model.custom?this.el.classList.add(h.bk_tooltip_custom):this.el.classList.remove(h.bk_tooltip_custom),0==t.length)return;const{frame:e}=this.plot_view;for(const[s,i,l]of t){if(this.model.inner_only&&!e.bbox.contains(s,i))continue;const t=o.div({},l);this.el.appendChild(t)}const[s,i]=t[t.length-1],l=c(this.model.attachment,s,i,e._hcenter.value,e._vcenter.value);this.el.classList.remove(n.bk_right),this.el.classList.remove(n.bk_left),this.el.classList.remove(n.bk_above),this.el.classList.remove(n.bk_below);let a;o.display(this.el);let r=0,d=0;switch(l){case\"right\":this.el.classList.add(n.bk_left),r=s+(this.el.offsetWidth-this.el.clientWidth)+10,a=i-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(n.bk_right),d=this.plot_view.layout.bbox.width-s+10,a=i-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(n.bk_above),a=i+(this.el.offsetHeight-this.el.clientHeight)+10,r=Math.round(s-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(n.bk_below),a=i-this.el.offsetHeight-10,r=Math.round(s-this.el.offsetWidth/2)}this.model.show_arrow&&this.el.classList.add(h.bk_tooltip_arrow),this.el.childNodes.length>0?(this.el.style.top=a+\"px\",this.el.style.left=r?r+\"px\":\"auto\",this.el.style.right=d?d+\"px\":\"auto\"):o.undisplay(this.el)}}s.TooltipView=d,d.__name__=\"TooltipView\";class _ extends l.Annotation{constructor(t){super(t)}static init_Tooltip(){this.prototype.default_view=d,this.define({attachment:[a.TooltipAttachment,\"horizontal\"],inner_only:[a.Boolean,!0],show_arrow:[a.Boolean,!0]}),this.override({level:\"overlay\"}),this.internal({data:[a.Any,[]],custom:[a.Any]})}clear(){this.data=[]}add(t,e,s){this.data=this.data.concat([[t,e,s]])}}s.Tooltip=_,_.__name__=\"Tooltip\",_.init_Tooltip()},\n",
+       "      function _(o,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tooltip=\"bk-tooltip\",l.bk_tooltip_arrow=\"bk-tooltip-arrow\",l.bk_tooltip_custom=\"bk-tooltip-custom\",l.bk_tooltip_row_label=\"bk-tooltip-row-label\",l.bk_tooltip_row_value=\"bk-tooltip-row-value\",l.bk_tooltip_color_block=\"bk-tooltip-color-block\"},\n",
+       "      function _(e,b,k){Object.defineProperty(k,\"__esModule\",{value:!0}),k.bk_active=\"bk-active\",k.bk_inline=\"bk-inline\",k.bk_left=\"bk-left\",k.bk_right=\"bk-right\",k.bk_above=\"bk-above\",k.bk_below=\"bk-below\",k.bk_up=\"bk-up\",k.bk_down=\"bk-down\",k.bk_side=function(e){switch(e){case\"above\":return k.bk_above;case\"below\":return k.bk_below;case\"left\":return k.bk_left;case\"right\":return k.bk_right}}},\n",
+       "      function _(o,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root {\\n  /* Same border color used everywhere */\\n  /* Gray of icons */\\n}\\n.bk-root .bk-tooltip {\\n  font-weight: 300;\\n  font-size: 12px;\\n  position: absolute;\\n  padding: 5px;\\n  border: 1px solid #e5e5e5;\\n  color: #2f2f2f;\\n  background-color: white;\\n  pointer-events: none;\\n  opacity: 0.95;\\n  z-index: 100;\\n}\\n.bk-root .bk-tooltip > div:not(:first-child) {\\n  /* gives space when multiple elements are being hovered over */\\n  margin-top: 5px;\\n  border-top: #e5e5e5 1px dashed;\\n}\\n.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-left::before {\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right::after {\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-above::before {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  top: -10px;\\n  border-bottom-width: 10px;\\n  border-bottom-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-below::after {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  bottom: -10px;\\n  border-top-width: 10px;\\n  border-top-color: #909599;\\n}\\n.bk-root .bk-tooltip-row-label {\\n  text-align: right;\\n  color: #26aae1;\\n  /* blue from toolbar highlighting */\\n}\\n.bk-root .bk-tooltip-row-value {\\n  color: default;\\n  /* seems to be necessary for notebook */\\n}\\n.bk-root .bk-tooltip-color-block {\\n  width: 12px;\\n  height: 12px;\\n  margin-left: 5px;\\n  margin-right: 5px;\\n  outline: #dddddd solid 1px;\\n  display: inline-block;\\n}\\n'},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(31),o=e(76),a=e(75),n=e(23),h=i.__importStar(e(18));class _ extends r.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],r=\"height\"==t?i:s,o=\"height\"==t?s:i,a=\"height\"==t?e.yview:e.xview,n=\"height\"==t?e.xview:e.yview;let h,_,l;h=\"data\"==this.model.properties.lower.units?r.v_compute(this._lower):a.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?r.v_compute(this._upper):a.v_compute(this._upper),l=\"data\"==this.model.properties.base.units?o.v_compute(this._base):n.v_compute(this._base);const[d,p]=\"height\"==t?[1,0]:[0,1],c=[h,l],u=[_,l];this._lower_sx=c[d],this._lower_sy=c[p],this._upper_sx=u[d],this._upper_sy=u[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;t<s;t++)this.visuals.line.set_vectorize(e,t),e.beginPath(),e.moveTo(this._lower_sx[t],this._lower_sy[t]),e.lineTo(this._upper_sx[t],this._upper_sy[t]),e.stroke();const t=\"height\"==this.model.dimension?0:Math.PI/2;if(null!=this.model.lower_head)for(let s=0,i=this._lower_sx.length;s<i;s++)e.save(),e.translate(this._lower_sx[s],this._lower_sy[s]),e.rotate(t+Math.PI),this.model.lower_head.render(e,s),e.restore();if(null!=this.model.upper_head)for(let s=0,i=this._upper_sx.length;s<i;s++)e.save(),e.translate(this._upper_sx[s],this._upper_sy[s]),e.rotate(t),this.model.upper_head.render(e,s),e.restore()}}s.WhiskerView=_,_.__name__=\"WhiskerView\";class l extends r.Annotation{constructor(e){super(e)}static init_Whisker(){this.prototype.default_view=_,this.mixins(n.LineVector),this.define({lower:[h.DistanceSpec],lower_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],upper:[h.DistanceSpec],upper_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],base:[h.DistanceSpec],dimension:[h.Dimension,\"height\"],source:[h.Instance,()=>new o.ColumnDataSource],x_range_name:[h.String,\"default\"],y_range_name:[h.String,\"default\"]}),this.override({level:\"underlay\"})}}s.Whisker=l,l.__name__=\"Whisker\",l.init_Whisker()},\n",
+       "      function _(i,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});var r=i(150);e.Axis=r.Axis;var s=i(152);e.CategoricalAxis=s.CategoricalAxis;var x=i(155);e.ContinuousAxis=x.ContinuousAxis;var A=i(156);e.DatetimeAxis=A.DatetimeAxis;var o=i(157);e.LinearAxis=o.LinearAxis;var t=i(170);e.LogAxis=t.LogAxis;var n=i(173);e.MercatorAxis=n.MercatorAxis},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(151),l=s.__importStar(e(23)),n=s.__importStar(e(18)),o=e(9),r=e(8),_=e(90),{abs:h,min:c,max:m}=Math;class d extends a.GuideRendererView{constructor(){super(...arguments),this.rotate=!0}get panel(){return this.layout}render(){if(!this.model.visible)return;const e={tick:this._tick_extent(),tick_label:this._tick_label_extents(),axis_label:this._axis_label_extent()},t=this.tick_coords,i=this.layer.ctx;i.save(),this._draw_rule(i,e),this._draw_major_ticks(i,e,t),this._draw_minor_ticks(i,e,t),this._draw_major_labels(i,e,t),this._draw_axis_label(i,e,t),null!=this._render&&this._render(i,e,t),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint());const e=this.model.properties;this.on_change(e.visible,()=>this.plot_view.request_layout())}get_size(){if(this.model.visible&&null==this.model.fixed_location){const e=this._get_size();return{width:0,height:Math.round(e)}}return{width:0,height:0}}_get_size(){return this._tick_extent()+this._tick_label_extent()+this._axis_label_extent()}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(e,t){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,l]=this.plot_view.map_to_screen(i,s,this.model.x_range_name,this.model.y_range_name),[n,o]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(e),e.beginPath(),e.moveTo(Math.round(a[0]+n*r),Math.round(l[0]+o*_));for(let t=1;t<a.length;t++){const i=Math.round(a[t]+n*r),s=Math.round(l[t]+o*_);e.lineTo(i,s)}e.stroke()}_draw_major_ticks(e,t,i){const s=this.model.major_tick_in,a=this.model.major_tick_out,l=this.visuals.major_tick_line;this._draw_ticks(e,i.major,s,a,l)}_draw_minor_ticks(e,t,i){const s=this.model.minor_tick_in,a=this.model.minor_tick_out,l=this.visuals.minor_tick_line;this._draw_ticks(e,i.minor,s,a,l)}_draw_major_labels(e,t,i){const s=i.major,a=this.compute_labels(s[this.dimension]),l=this.model.major_label_orientation,n=t.tick+this.model.major_label_standoff,o=this.visuals.major_label_text;this._draw_oriented_labels(e,a,s,l,this.panel.side,n,o)}_draw_axis_label(e,t,i){if(null==this.model.axis_label||0==this.model.axis_label.length||null!=this.model.fixed_location)return;let s,a;switch(this.panel.side){case\"above\":s=this.panel._hcenter.value,a=this.panel._bottom.value;break;case\"below\":s=this.panel._hcenter.value,a=this.panel._top.value;break;case\"left\":s=this.panel._right.value,a=this.panel._vcenter.value;break;case\"right\":s=this.panel._left.value,a=this.panel._vcenter.value;break;default:throw new Error(\"unknown side: \"+this.panel.side)}const l=[[s],[a]],n=t.tick+o.sum(t.tick_label)+this.model.axis_label_standoff,r=this.visuals.axis_label_text;this._draw_oriented_labels(e,[this.model.axis_label],l,\"parallel\",this.panel.side,n,r,\"screen\")}_draw_ticks(e,t,i,s,a){if(!a.doit)return;const[l,n]=t,[o,r]=this.plot_view.map_to_screen(l,n,this.model.x_range_name,this.model.y_range_name),[_,h]=this.normals,[c,m]=this.offsets,[d,u]=[_*(c-i),h*(m-i)],[b,x]=[_*(c+s),h*(m+s)];a.set_value(e);for(let t=0;t<o.length;t++){const i=Math.round(o[t]+b),s=Math.round(r[t]+x),a=Math.round(o[t]+d),l=Math.round(r[t]+u);e.beginPath(),e.moveTo(i,s),e.lineTo(a,l),e.stroke()}}_draw_oriented_labels(e,t,i,s,a,l,n,o=\"data\"){if(!n.doit||0==t.length)return;let _,h,c,m;if(\"screen\"==o)[_,h]=i,[c,m]=[0,0];else{const[e,t]=i;[_,h]=this.plot_view.map_to_screen(e,t,this.model.x_range_name,this.model.y_range_name),[c,m]=this.offsets}const[d,u]=this.normals,b=d*(c+l),x=u*(m+l);let f;n.set_value(e),this.panel.apply_label_text_heuristics(e,s),f=r.isString(s)?this.panel.get_label_angle_heuristic(s):-s;for(let i=0;i<_.length;i++){const s=Math.round(_[i]+b),a=Math.round(h[i]+x);e.translate(s,a),e.rotate(f),e.fillText(t[i],0,0),e.rotate(-f),e.translate(-s,-a)}}_axis_label_extent(){if(null==this.model.axis_label||\"\"==this.model.axis_label)return 0;const e=this.model.axis_label_standoff,t=this.visuals.axis_label_text;return this._oriented_labels_extent([this.model.axis_label],\"parallel\",this.panel.side,e,t)}_tick_extent(){return this.model.major_tick_out}_tick_label_extent(){return o.sum(this._tick_label_extents())}_tick_label_extents(){const e=this.tick_coords.major,t=this.compute_labels(e[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(t,i,this.panel.side,s,a)]}_oriented_labels_extent(e,t,i,s,a){if(0==e.length)return 0;const l=this.layer.ctx;let n,o;a.set_value(l),r.isString(t)?(n=1,o=this.panel.get_label_angle_heuristic(t)):(n=2,o=-t),o=Math.abs(o);const _=Math.cos(o),h=Math.sin(o);let c=0;for(let t=0;t<e.length;t++){const s=1.1*l.measureText(e[t]).width,a=.9*l.measureText(e[t]).ascent;let o;o=\"above\"==i||\"below\"==i?s*h+a/n*_:s*_+a/n*h,o>c&&(c=o)}return c>0&&(c+=s),c}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(e){const t=this.model.formatter.doFormat(e,this);for(let i=0;i<e.length;i++)e[i]in this.model.major_label_overrides&&(t[i]=this.model.major_label_overrides[e[i]]);return t}get offsets(){if(null!=this.model.fixed_location)return[0,0];const{frame:e}=this.plot_view;let[t,i]=[0,0];switch(this.panel.side){case\"below\":i=h(this.panel._top.value-e._bottom.value);break;case\"above\":i=h(this.panel._bottom.value-e._top.value);break;case\"right\":t=h(this.panel._left.value-e._right.value);break;case\"left\":t=h(this.panel._right.value-e._left.value)}return[t,i]}get ranges(){const e=this.dimension,t=(e+1)%2,{frame:i}=this.plot_view,s=[i.x_ranges[this.model.x_range_name],i.y_ranges[this.model.y_range_name]];return[s[e],s[t]]}get computed_bounds(){const[e]=this.ranges,t=this.model.bounds,i=[e.min,e.max];if(\"auto\"==t)return[e.min,e.max];if(r.isArray(t)){let e,s;const[a,l]=t,[n,o]=i;return h(a-l)>h(n-o)?(e=m(c(a,l),n),s=c(m(a,l),o)):(e=c(a,l),s=m(a,l)),[e,s]}throw new Error(`user bounds '${t}' not understood`)}get rule_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=[new Array(2),new Array(2)];return l[e][0]=Math.max(s,i.min),l[e][1]=Math.min(a,i.max),l[e][0]>l[e][1]&&(l[e][0]=l[e][1]=NaN),l[t][0]=this.loc,l[t][1]=this.loc,l}get tick_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=this.model.ticker.get_ticks(s,a,i,this.loc,{}),n=l.major,o=l.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;i<n.length;i++)n[i]<h||n[i]>c||(r[e].push(n[i]),r[t].push(this.loc));for(let i=0;i<o.length;i++)o[i]<h||o[i]>c||(_[e].push(o[i]),_[t].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:e}=this.model;if(null!=e){if(r.isNumber(e))return e;const[,t]=this.ranges;if(t instanceof _.FactorRange)return t.synthetic(e);throw new Error(\"unexpected\")}const[,t]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return t.start;case\"right\":case\"above\":return t.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}}i.AxisView=d,d.__name__=\"AxisView\";class u extends a.GuideRenderer{constructor(e){super(e)}static init_Axis(){this.prototype.default_view=d,this.mixins([[\"axis_\",l.Line],[\"major_tick_\",l.Line],[\"minor_tick_\",l.Line],[\"major_label_\",l.Text],[\"axis_label_\",l.Text]]),this.define({bounds:[n.Any,\"auto\"],ticker:[n.Instance],formatter:[n.Instance],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"],axis_label:[n.String,\"\"],axis_label_standoff:[n.Int,5],major_label_standoff:[n.Int,5],major_label_orientation:[n.Any,\"horizontal\"],major_label_overrides:[n.Any,{}],major_tick_in:[n.Number,2],major_tick_out:[n.Number,6],minor_tick_in:[n.Number,0],minor_tick_out:[n.Number,4],fixed_location:[n.Any,null]}),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})}}i.Axis=u,u.__name__=\"Axis\",u.init_Axis()},\n",
+       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});const i=e(65);class n extends i.RendererView{}d.GuideRendererView=n,n.__name__=\"GuideRendererView\";class t extends i.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"guide\"})}}d.GuideRenderer=t,t.__name__=\"GuideRenderer\",t.init_GuideRenderer()},\n",
+       "      function _(t,s,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),i=t(150),r=t(153),a=t(154),l=e.__importStar(t(23)),_=e.__importStar(t(18));class n extends i.AxisView{_render(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;t<e.tops.length-1;t++){let s,o;for(let i=n;i<e.factors.length;i++)if(e.factors[i][0]==e.tops[t+1]){[s,o]=[e.factors[i-1],e.factors[i]],n=i;break}const h=(e.synthetic(s)+e.synthetic(o))/2;h>i&&h<r&&(_[a].push(h),_[l].push(this.loc))}const h=this._tick_label_extent();this._draw_ticks(t,_,-3,h-6,this.visuals.separator_line)}_draw_major_labels(t,s,o){const e=this._get_factor_info();let i=s.tick+this.model.major_label_standoff;for(let o=0;o<e.length;o++){const[r,a,l,_]=e[o];this._draw_oriented_labels(t,r,a,l,this.panel.side,i,_),i+=s.tick_label[o]}}_tick_label_extents(){const t=this._get_factor_info(),s=[];for(const[o,,e,i]of t){const t=this._oriented_labels_extent(o,e,this.panel.side,this.model.major_label_standoff,i);s.push(t)}return s}_get_factor_info(){const[t]=this.ranges,[s,o]=this.computed_bounds,e=this.loc,i=this.model.ticker.get_ticks(s,o,t,e,{}),r=this.tick_coords,a=[];if(1==t.levels){const t=i.major,s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=i.major.map(t=>t[1]),s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=i.major.map(t=>t[2]),s=this.model.formatter.doFormat(t,this),o=i.mids.map(t=>t[1]);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([o,r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc,{}),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map(t=>this.loc),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map(t=>this.loc)),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map(t=>this.loc)),a}}o.CategoricalAxisView=n,n.__name__=\"CategoricalAxisView\";class h extends i.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=n,this.mixins([[\"separator_\",l.Line],[\"group_\",l.Text],[\"subgroup_\",l.Text]]),this.define({group_label_orientation:[_.Any,\"parallel\"],subgroup_label_orientation:[_.Any,\"parallel\"]}),this.override({ticker:()=>new r.CategoricalTicker,formatter:()=>new a.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})}}o.CategoricalAxis=h,h.__name__=\"CategoricalAxis\",h.init_CategoricalAxis()},\n",
+       "      function _(t,c,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(112);class s extends o.Ticker{constructor(t){super(t)}get_ticks(t,c,e,o,s){return{major:this._collect(e.factors,e,t,c),minor:[],tops:this._collect(e.tops||[],e,t,c),mids:this._collect(e.mids||[],e,t,c)}}_collect(t,c,e,o){const s=[];for(const r of t){const t=c.synthetic(r);t>e&&t<o&&s.push(r)}return s}}e.CategoricalTicker=s,s.__name__=\"CategoricalTicker\"},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(114),c=e(9);class a extends o.TickFormatter{constructor(e){super(e)}doFormat(e,t){return c.copy(e)}}r.CategoricalTickFormatter=a,a.__name__=\"CategoricalTickFormatter\"},\n",
+       "      function _(s,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=s(150);class t extends o.Axis{constructor(s){super(s)}}n.ContinuousAxis=t,t.__name__=\"ContinuousAxis\"},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(157),a=e(158),r=e(163);class n extends s.LinearAxisView{}i.DatetimeAxisView=n,n.__name__=\"DatetimeAxisView\";class _ extends s.LinearAxis{constructor(e){super(e)}static init_DatetimeAxis(){this.prototype.default_view=n,this.override({ticker:()=>new r.DatetimeTicker,formatter:()=>new a.DatetimeTickFormatter})}}i.DatetimeAxis=_,_.__name__=\"DatetimeAxis\",_.init_DatetimeAxis()},\n",
+       "      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(150),n=e(155),r=e(113),a=e(109);class _ extends t.AxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class c extends n.ContinuousAxis{constructor(e){super(e)}static init_LinearAxis(){this.prototype.default_view=_,this.override({ticker:()=>new a.BasicTicker,formatter:()=>new r.BasicTickFormatter})}}s.LinearAxis=c,c.__name__=\"LinearAxis\",c.init_LinearAxis()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),i=r.__importDefault(t(159)),n=t(114),o=t(72),a=r.__importStar(t(18)),c=t(160),m=t(9),u=t(8);function h(t){return i.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map(t=>parseInt(t,10))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:i.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends n.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static init_DatetimeTickFormatter(){this.define({microseconds:[a.Array,[\"%fus\"]],milliseconds:[a.Array,[\"%3Nms\",\"%S.%3Ns\"]],seconds:[a.Array,[\"%Ss\"]],minsec:[a.Array,[\":%M:%S\"]],minutes:[a.Array,[\":%M\",\"%Mm\"]],hourmin:[a.Array,[\"%H:%M\"]],hours:[a.Array,[\"%Hh\",\"%H:%M\"]],days:[a.Array,[\"%m/%d\",\"%a%d\"]],months:[a.Array,[\"%m/%Y\",\"%b %Y\"]],years:[a.Array,[\"%Y\"]]})}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const t=+i.default(new Date),s=function(s){const e=s.map(s=>d(t,s).length),r=m.sort_by(m.zip(e,s),([t])=>t);return m.unzip(r)};this._width_formats={microseconds:s(this.microseconds),milliseconds:s(this.milliseconds),seconds:s(this.seconds),minsec:s(this.minsec),minutes:s(this.minutes),hourmin:s(this.hourmin),hours:s(this.hours),days:s(this.days),months:s(this.months),years:s(this.years)}}_get_resolution_str(t,s){const e=1.1*t;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return s>=60?\"minsec\":\"seconds\";case!(e<3600):return s>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(t,s){if(0==t.length)return[];const e=Math.abs(t[t.length-1]-t[0])/1e3,r=e/(t.length-1),i=this._get_resolution_str(r,e),[,[n]]=this._width_formats[i],a=[],c=l.indexOf(i),m={};for(const t of l)m[t]=0;m.seconds=5,m.minsec=4,m.minutes=4,m.hourmin=3,m.hours=3;for(const s of t){let t,e;try{e=h(s),t=d(s,n)}catch(t){o.logger.warn(\"unable to format tick for timestamp value \"+s),o.logger.warn(\" - \"+t),a.push(\"ERR\");continue}let r=!1,u=c;for(;0==e[m[l[u]]];){let n;if(u+=1,u==l.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!r){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){n=this._width_formats[l[c-1]][1][0],t=d(s,n);break}r=!0}n=this._width_formats[l[u]][1][0],t=d(s,n)}if(this.strip_leading_zeros){let s=t.replace(/^0+/g,\"\");s!=t&&isNaN(parseInt(s))&&(s=\"0\"+s),a.push(s)}else a.push(t)}return a}}e.DatetimeTickFormatter=_,_.__name__=\"DatetimeTickFormatter\",_.init_DatetimeTickFormatter()},\n",
+       "      function _(e,t,n){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new Date(Date.UTC(n,t.month,Math.abs(o++)))}while(t.day[0]<7&&r.getUTCDay()!=t.day[0]);return(r={clock:t.clock,sort:r.getTime(),rule:t,save:6e4*t.save,offset:e.offset})[r.clock]=r.sort+6e4*t.time,r.posix?r.wallclock=r[r.clock]+(e.offset+t.saved):r.posix=r[r.clock]-(e.offset+t.saved),r}function t(t,n,r){var o,a,u,i,l,s,c,f=t[t.zone],h=[],T=new Date(r).getUTCFullYear(),g=1;for(o=1,a=f.length;o<a&&!(f[o][n]<=r);o++);if((u=f[o]).rules){for(s=t[u.rules],c=T+1;c>=T-g;--c)for(o=0,a=s.length;o<a;o++)s[o].from<=c&&c<=s[o].to?h.push(e(u,s[o],c)):s[o].to<c&&1==g&&(g=c-s[o].to);for(h.sort((function(e,t){return e.sort-t.sort})),o=0,a=h.length;o<a;o++)r>=h[o][n]&&h[o][h[o].clock]>u[h[o].clock]&&(i=h[o])}return i&&((l=/^(.*)\\/(.*)$/.exec(u.format))?i.abbrev=l[i.save?2:1]:i.abbrev=u.format.replace(/%s/,i.rule.letter)),i||u}function n(e,n){return\"UTC\"==e.zone?n:(e.entry=t(e,\"posix\",n),n+e.entry.offset+e.entry.save)}function r(e,n){return\"UTC\"==e.zone?n:(e.entry=r=t(e,\"wallclock\",n),0<(o=n-r.wallclock)&&o<r.save?null:n-r.offset-r.save);var r,o}function o(e,t,o){var a,i=+(o[1]+1),s=o[2]*i,c=u.indexOf(o[3].toLowerCase());if(c>9)t+=s*l[c-10];else{if(a=new Date(n(e,t)),c<7)for(;s;)a.setUTCDate(a.getUTCDate()+i),a.getUTCDay()==c&&(s-=i);else 7==c?a.setUTCFullYear(a.getUTCFullYear()+s):8==c?a.setUTCMonth(a.getUTCMonth()+s):a.setUTCDate(a.getUTCDate()+s);null==(t=r(e,a.getTime()))&&(t=r(e,a.getTime()+864e5*i)-864e5*i)}return t}var a={clock:function(){return+new Date},zone:\"UTC\",entry:{abbrev:\"UTC\",offset:0,save:0},UTC:1,z:function(e,t,n,r){var 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e.getUTCFullYear()},y:function(e){return e.getUTCFullYear()%100},H:function(e){return e.getUTCHours()},M:function(e){return e.getUTCMinutes()},S:function(e){return e.getUTCSeconds()},e:function(e){return e.getUTCDate()},d:function(e){return e.getUTCDate()},u:function(e){return e.getUTCDay()||7},w:function(e){return e.getUTCDay()},l:function(e){return e.getUTCHours()%12||12},I:function(e){return e.getUTCHours()%12||12},k:function(e){return e.getUTCHours()},Z:function(e){return this.entry.abbrev},a:function(e){return this[this.locale].day.abbrev[e.getUTCDay()]},A:function(e){return this[this.locale].day.full[e.getUTCDay()]},h:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},b:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},B:function(e){return this[this.locale].month.full[e.getUTCMonth()]},P:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)].toLowerCase()},p:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)]},R:function(e,t){return this.convert([t,\"%H:%M\"])},T:function(e,t){return this.convert([t,\"%H:%M:%S\"])},D:function(e,t){return this.convert([t,\"%m/%d/%y\"])},F:function(e,t){return this.convert([t,\"%Y-%m-%d\"])},x:function(e,t){return this.convert([t,this[this.locale].date])},r:function(e,t){return this.convert([t,this[this.locale].time12||\"%I:%M:%S\"])},X:function(e,t){return this.convert([t,this[this.locale].time24])},c:function(e,t){return this.convert([t,this[this.locale].dateTime])},convert:function(e){if(!e.length)return\"1.0.23\";var t,a,u,l,s,c=Object.create(this),f=[];for(t=0;t<e.length;t++)if(l=e[t],Array.isArray(l))t||isNaN(l[1])?l.splice.apply(e,[t--,1].concat(l)):s=l;else if(isNaN(l)){if(\"string\"==(u=typeof 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+       "      function _(r,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=r(1),i=t.__importStar(r(161)),u=r(162),a=t.__importDefault(r(159)),f=r(24),o=r(8);function l(r,...n){return u.sprintf(r,...n)}function s(r,n,e){if(o.isNumber(r)){return l((()=>{switch(!1){case Math.floor(r)!=r:return\"%d\";case!(Math.abs(r)>.1&&Math.abs(r)<1e3):return\"%0.3f\";default:return\"%0.3e\"}})(),r)}return\"\"+r}function c(r,n,t){if(null==n)return s;if(null!=t&&r in t){const n=t[r];if(o.isString(n)){if(n in e.DEFAULT_FORMATTERS)return e.DEFAULT_FORMATTERS[n];throw new Error(`Unknown tooltip field formatter type '${n}'`)}return function(r,e,t){return n.format(r,e,t)}}return e.DEFAULT_FORMATTERS.numeral}function m(r,n,e,t){if(\"$\"==r[0]){return function(r,n){if(r in n)return n[r];throw new Error(`Unknown special variable '$${r}'`)}(r.substring(1),t)}return function(r,n,e){const t=n.get_column(r);if(null==t)return null;if(o.isNumber(e))return t[e];const i=t[e.index];if(o.isTypedArray(i)||o.isArray(i)){if(o.isArray(i[0])){return i[e.dim2][e.dim1]}return i[e.flat_index]}return i}(r.substring(1).replace(/[{}]/g,\"\"),n,e)}e.DEFAULT_FORMATTERS={numeral:(r,n,e)=>i.format(r,n),datetime:(r,n,e)=>a.default(r,n),printf:(r,n,e)=>l(n,r)},e.sprintf=l,e.basic_formatter=s,e.get_formatter=c,e.get_value=m,e.replace_placeholders=function(r,n,e,t,i={}){return r=(r=r.replace(/@\\$name/g,r=>`@{${i.name}}`)).replace(/((?:\\$\\w+)|(?:@\\w+)|(?:@{(?:[^{}]+)}))(?:{([^{}]+)})?/g,(r,u,a)=>{const o=m(u,n,e,i);if(null==o)return\"\"+f.escape(\"???\");if(\"safe\"==a)return\"\"+o;const l=c(u,a,t);return\"\"+f.escape(l(o,a,i))})}},\n",
+       "      function _(e,n,t){\n",
+       "      /*!\n",
+       "           * numbro.js\n",
+       "           * version : 1.6.2\n",
+       "           * author : Företagsplatsen AB\n",
+       "           * license : MIT\n",
+       "           * http://www.foretagsplatsen.se\n",
+       "           */\n",
+       "      var r,i={},a=i,o=\"en-US\",l=null,u=\"0,0\";void 0!==n&&n.exports;function c(e){this._value=e}function s(e){var n,t=\"\";for(n=0;n<e;n++)t+=\"0\";return t}function f(e,n,t,r){var i,a,o=Math.pow(10,n);return a=e.toFixed(0).search(\"e\")>-1?function(e,n){var t,r,i,a;return t=(a=e.toString()).split(\"e\")[0],i=a.split(\"e\")[1],a=t.split(\".\")[0]+(r=t.split(\".\")[1]||\"\")+s(i-r.length),n>0&&(a+=\".\"+s(n)),a}(e,n):(t(e*o)/o).toFixed(n),r&&(i=new RegExp(\"0{1,\"+r+\"}$\"),a=a.replace(i,\"\")),a}function d(e,n,t){return n.indexOf(\"$\")>-1?function(e,n,t){var r,a,l=n,u=l.indexOf(\"$\"),c=l.indexOf(\"(\"),s=l.indexOf(\"+\"),f=l.indexOf(\"-\"),d=\"\",p=\"\";-1===l.indexOf(\"$\")?\"infix\"===i[o].currency.position?(p=i[o].currency.symbol,i[o].currency.spaceSeparated&&(p=\" \"+p+\" \")):i[o].currency.spaceSeparated&&(d=\" \"):l.indexOf(\" $\")>-1?(d=\" \",l=l.replace(\" $\",\"\")):l.indexOf(\"$ \")>-1?(d=\" \",l=l.replace(\"$ 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Array(v-x.length+1).join(\"0\")+x),y>-1&&(x=x.toString().replace(/(\\d)(?=(\\d{3})+(?!\\d))/g,\"$1\"+i[o].delimiters.thousands)),0===n.indexOf(\".\")&&(x=\"\"),b+(n.indexOf(\"(\")<n.indexOf(\"-\")?(B&&R?\"(\":\"\")+(P&&R||!B&&R?\"-\":\"\"):(P&&R||!B&&R?\"-\":\"\")+(B&&R?\"(\":\"\"))+(!R&&E&&0!==e?\"+\":\"\")+x+I+(L||\"\")+(k&&!r?k:\"\")+(C||\"\")+(B&&R?\")\":\"\")+w}function p(e,n){i[e]=n}function m(e){o=e;var n=i[e].defaults;n&&n.format&&r.defaultFormat(n.format),n&&n.currencyFormat&&r.defaultCurrencyFormat(n.currencyFormat)}(r=function(e){return r.isNumbro(e)?e=e.value():0===e||void 0===e?e=0:Number(e)||(e=r.fn.unformat(e)),new c(Number(e))}).version=\"1.6.2\",r.isNumbro=function(e){return e instanceof c},r.setLanguage=function(e,n){console.warn(\"`setLanguage` is deprecated since version 1.6.0. 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Use `cultureData` instead\"),!e)return a[o];if(!a[e])throw new Error(\"Unknown language : \"+e);return a[e]},r.cultureData=function(e){if(!e)return i[o];if(!i[e])throw new Error(\"Unknown culture : \"+e);return i[e]},r.culture(\"en-US\",{delimiters:{thousands:\",\",decimal:\".\"},abbreviations:{thousand:\"k\",million:\"m\",billion:\"b\",trillion:\"t\"},ordinal:function(e){var n=e%10;return 1==~~(e%100/10)?\"th\":1===n?\"st\":2===n?\"nd\":3===n?\"rd\":\"th\"},currency:{symbol:\"$\",position:\"prefix\"},defaults:{currencyFormat:\",0000 a\"},formats:{fourDigits:\"0000 a\",fullWithTwoDecimals:\"$ ,0.00\",fullWithTwoDecimalsNoCurrency:\",0.00\"}}),r.languages=function(){return console.warn(\"`languages` is deprecated since version 1.6.0. Use `cultures` instead\"),a},r.cultures=function(){return i},r.zeroFormat=function(e){l=\"string\"==typeof e?e:null},r.defaultFormat=function(e){u=\"string\"==typeof e?e:\"0.0\"},r.defaultCurrencyFormat=function(e){\"string\"==typeof e?e:\"0$\"},r.validate=function(e,n){var t,i,a,o,l,u,c,s;if(\"string\"!=typeof e&&(e+=\"\",console.warn&&console.warn(\"Numbro.js: Value is not string. It has been co-erced to: \",e)),(e=e.trim()).match(/^\\d+$/))return!0;if(\"\"===e)return!1;try{c=r.cultureData(n)}catch(e){c=r.cultureData(r.culture())}return a=c.currency.symbol,l=c.abbreviations,t=c.delimiters.decimal,i=\".\"===c.delimiters.thousands?\"\\\\.\":c.delimiters.thousands,(null===(s=e.match(/^[^\\d]+/))||(e=e.substr(1),s[0]===a))&&((null===(s=e.match(/[^\\d]+$/))||(e=e.slice(0,-1),s[0]===l.thousand||s[0]===l.million||s[0]===l.billion||s[0]===l.trillion))&&(u=new RegExp(i+\"{2}\"),!e.match(/[^\\d.,]/g)&&(!((o=e.split(t)).length>2)&&(o.length<2?!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u):1===o[0].length?!!o[0].match(/^\\d+$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/):!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/)))))},n.exports={format:function(e,n,t,i){return null!=t&&t!==r.culture()&&r.setCulture(t),d(Number(e),null!=n?n:u,null==i?Math.round:i)}}},\n",
+       "      function _(e,n,t){!function(){\"use strict\";var e={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function n(e){return i(a(e),arguments)}function r(e,t){return n.apply(null,[e].concat(t||[]))}function i(t,r){var i,s,a,o,p,c,l,u,f,d=1,g=t.length,y=\"\";for(s=0;s<g;s++)if(\"string\"==typeof t[s])y+=t[s];else if(\"object\"==typeof t[s]){if((o=t[s]).keys)for(i=r[d],a=0;a<o.keys.length;a++){if(null==i)throw new Error(n('[sprintf] Cannot access property \"%s\" of undefined value \"%s\"',o.keys[a],o.keys[a-1]));i=i[o.keys[a]]}else i=o.param_no?r[o.param_no]:r[d++];if(e.not_type.test(o.type)&&e.not_primitive.test(o.type)&&i instanceof Function&&(i=i()),e.numeric_arg.test(o.type)&&\"number\"!=typeof i&&isNaN(i))throw new TypeError(n(\"[sprintf] expecting number but found %T\",i));switch(e.number.test(o.type)&&(u=i>=0),o.type){case\"b\":i=parseInt(i,10).toString(2);break;case\"c\":i=String.fromCharCode(parseInt(i,10));break;case\"d\":case\"i\":i=parseInt(i,10);break;case\"j\":i=JSON.stringify(i,null,o.width?parseInt(o.width):0);break;case\"e\":i=o.precision?parseFloat(i).toExponential(o.precision):parseFloat(i).toExponential();break;case\"f\":i=o.precision?parseFloat(i).toFixed(o.precision):parseFloat(i);break;case\"g\":i=o.precision?String(Number(i.toPrecision(o.precision))):parseFloat(i);break;case\"o\":i=(parseInt(i,10)>>>0).toString(8);break;case\"s\":i=String(i),i=o.precision?i.substring(0,o.precision):i;break;case\"t\":i=String(!!i),i=o.precision?i.substring(0,o.precision):i;break;case\"T\":i=Object.prototype.toString.call(i).slice(8,-1).toLowerCase(),i=o.precision?i.substring(0,o.precision):i;break;case\"u\":i=parseInt(i,10)>>>0;break;case\"v\":i=i.valueOf(),i=o.precision?i.substring(0,o.precision):i;break;case\"x\":i=(parseInt(i,10)>>>0).toString(16);break;case\"X\":i=(parseInt(i,10)>>>0).toString(16).toUpperCase()}e.json.test(o.type)?y+=i:(!e.number.test(o.type)||u&&!o.sign?f=\"\":(f=u?\"+\":\"-\",i=i.toString().replace(e.sign,\"\")),c=o.pad_char?\"0\"===o.pad_char?\"0\":o.pad_char.charAt(1):\" \",l=o.width-(f+i).length,p=o.width&&l>0?c.repeat(l):\"\",y+=o.align?f+i+p:\"0\"===c?f+p+i:p+f+i)}return y}var s=Object.create(null);function a(n){if(s[n])return s[n];for(var t,r=n,i=[],a=0;r;){if(null!==(t=e.text.exec(r)))i.push(t[0]);else if(null!==(t=e.modulo.exec(r)))i.push(\"%\");else{if(null===(t=e.placeholder.exec(r)))throw new SyntaxError(\"[sprintf] unexpected placeholder\");if(t[2]){a|=1;var o=[],p=t[2],c=[];if(null===(c=e.key.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");for(o.push(c[1]);\"\"!==(p=p.substring(c[0].length));)if(null!==(c=e.key_access.exec(p)))o.push(c[1]);else{if(null===(c=e.index_access.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");o.push(c[1])}t[2]=o}else a|=2;if(3===a)throw new Error(\"[sprintf] mixing positional and named placeholders is not (yet) supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n",
+       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(9),a=e(110),s=e(164),r=e(165),c=e(168),_=e(169),m=e(167);class k extends s.CompositeTicker{constructor(e){super(e)}static init_DatetimeTicker(){this.override({num_minor_ticks:0,tickers:()=>[new a.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*m.ONE_MILLI,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:m.ONE_SECOND,max_interval:30*m.ONE_MINUTE,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:m.ONE_HOUR,max_interval:12*m.ONE_HOUR,num_minor_ticks:0}),new r.DaysTicker({days:t.range(1,32)}),new r.DaysTicker({days:t.range(1,31,3)}),new r.DaysTicker({days:[1,8,15,22]}),new r.DaysTicker({days:[1,15]}),new c.MonthsTicker({months:t.range(0,12,1)}),new c.MonthsTicker({months:t.range(0,12,2)}),new c.MonthsTicker({months:t.range(0,12,4)}),new c.MonthsTicker({months:t.range(0,12,6)}),new _.YearsTicker({})]})}}n.DatetimeTicker=k,k.__name__=\"DatetimeTicker\",k.init_DatetimeTicker()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),s=t(111),n=r.__importStar(t(18)),_=t(9);class a extends s.ContinuousTicker{constructor(t){super(t)}static init_CompositeTicker(){this.define({tickers:[n.Array,[]]})}get min_intervals(){return this.tickers.map(t=>t.get_min_interval())}get max_intervals(){return this.tickers.map(t=>t.get_max_interval())}get min_interval(){return this.min_intervals[0]}get max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const r=e-t,s=this.get_ideal_interval(t,e,i),n=[_.sorted_index(this.min_intervals,s)-1,_.sorted_index(this.max_intervals,s)],a=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map(t=>Math.abs(i-r/t));let c;if(_.is_empty(a.filter(t=>!isNaN(t))))c=this.tickers[0];else{const t=n[_.argmin(a)];c=this.tickers[t]}return c}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,r){return this.get_best_ticker(t,e,r).get_ticks_no_defaults(t,e,i,r)}}i.CompositeTicker=a,a.__name__=\"CompositeTicker\",a.init_CompositeTicker()},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=t(166),a=t(167),o=i.__importStar(t(18)),r=t(9);class _ extends s.SingleIntervalTicker{constructor(t){super(t)}static init_DaysTicker(){this.define({days:[o.Array,[]]}),this.override({num_minor_ticks:0})}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*a.ONE_DAY:this.interval=31*a.ONE_DAY}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=a.last_month_no_later_than(new Date(t)),i=a.last_month_no_later_than(new Date(e));i.setUTCMonth(i.getUTCMonth()+1);const s=[],o=n;for(;s.push(a.copy_date(o)),o.setUTCMonth(o.getUTCMonth()+1),!(o>i););return s}(t,e),o=this.days,_=this.interval;return{major:r.concat(s.map(t=>((t,e)=>{const n=t.getUTCMonth(),i=[];for(const s of o){const o=a.copy_date(t);o.setUTCDate(s),new Date(o.getTime()+e/2).getUTCMonth()==n&&i.push(o)}return i})(t,_))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.DaysTicker=_,_.__name__=\"DaysTicker\",_.init_DaysTicker()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),r=e(111),l=n.__importStar(e(18));class a extends r.ContinuousTicker{constructor(e){super(e)}static init_SingleIntervalTicker(){this.define({interval:[l.Number]})}get_interval(e,t,i){return this.interval}get min_interval(){return this.interval}get max_interval(){return this.interval}}i.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n",
+       "      function _(t,e,n){function _(t){return new Date(t.getTime())}function O(t){const e=_(t);return e.setUTCDate(1),e.setUTCHours(0),e.setUTCMinutes(0),e.setUTCSeconds(0),e.setUTCMilliseconds(0),e}Object.defineProperty(n,\"__esModule\",{value:!0}),n.ONE_MILLI=1,n.ONE_SECOND=1e3,n.ONE_MINUTE=60*n.ONE_SECOND,n.ONE_HOUR=60*n.ONE_MINUTE,n.ONE_DAY=24*n.ONE_HOUR,n.ONE_MONTH=30*n.ONE_DAY,n.ONE_YEAR=365*n.ONE_DAY,n.copy_date=_,n.last_month_no_later_than=O,n.last_year_no_later_than=function(t){const e=O(t);return e.setUTCMonth(0),e}},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(166),s=t(167),a=r.__importStar(t(18)),o=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define({months:[a.Array,[]]})}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*s.ONE_MONTH:this.interval=12*s.ONE_MONTH}get_ticks_no_defaults(t,e,n,r){const i=function(t,e){const n=s.last_year_no_later_than(new Date(t)),r=s.last_year_no_later_than(new Date(e));r.setUTCFullYear(r.getUTCFullYear()+1);const i=[],a=n;for(;i.push(s.copy_date(a)),a.setUTCFullYear(a.getUTCFullYear()+1),!(a>r););return i}(t,e),a=this.months;return{major:o.concat(i.map(t=>a.map(e=>{const n=s.copy_date(t);return n.setUTCMonth(e),n}))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.MonthsTicker=_,_.__name__=\"MonthsTicker\",_.init_MonthsTicker()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(109),r=e(166),n=e(167);class _ extends r.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=n.ONE_YEAR,this.basic_ticker=new i.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=n.last_year_no_later_than(new Date(e)).getUTCFullYear(),_=n.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,_,a,i).major.map(e=>Date.UTC(e,0,1)).filter(a=>e<=a&&a<=t),minor:[]}}}a.YearsTicker=_,_.__name__=\"YearsTicker\"},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(150),o=e(155),n=e(171),r=e(172);class _ extends s.AxisView{}t.LogAxisView=_,_.__name__=\"LogAxisView\";class c extends o.ContinuousAxis{constructor(e){super(e)}static init_LogAxis(){this.prototype.default_view=_,this.override({ticker:()=>new r.LogTicker,formatter:()=>new n.LogTickFormatter})}}t.LogAxis=c,c.__name__=\"LogAxis\",c.init_LogAxis()},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=t(114),a=t(113),n=i.__importStar(t(18));class c extends o.TickFormatter{constructor(t){super(t)}static init_LogTickFormatter(){this.define({ticker:[n.Instance,null]})}initialize(){super.initialize(),this.basic_formatter=new a.BasicTickFormatter}doFormat(t,e){if(0==t.length)return[];const r=null!=this.ticker?this.ticker.base:10;let i=!1;const o=new Array(t.length);for(let e=0,a=t.length;e<a;e++)if(o[e]=`${r}^${Math.round(Math.log(t[e])/Math.log(r))}`,e>0&&o[e]==o[e-1]){i=!0;break}return i?this.basic_formatter.doFormat(t,e):o}}r.LogTickFormatter=c,c.__name__=\"LogTickFormatter\",c.init_LogTickFormatter()},\n",
+       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(110),s=t(9);class n extends i.AdaptiveTicker{constructor(t){super(t)}static init_LogTicker(){this.override({mantissas:[1,5]})}get_ticks_no_defaults(t,o,e,i){const n=this.num_minor_ticks,r=[],c=this.base,a=Math.log(t)/Math.log(c),f=Math.log(o)/Math.log(c),l=f-a;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,i),c=Math.floor(t/e),a=Math.ceil(o/e);if(h=s.range(c,a+1).filter(t=>0!=t).map(t=>t*e).filter(e=>t<=e&&e<=o),n>0&&h.length>0){const t=e/n,o=s.range(0,n).map(o=>o*t);for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*a),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=s.range(t-1,o+1,e).map(t=>c**t),n>0&&h.length>0){const t=c**e/n,o=s.range(1,n+1).map(o=>o*t);for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter(e=>t<=e&&e<=o),minor:r.filter(e=>t<=e&&e<=o)}}}e.LogTicker=n,n.__name__=\"LogTicker\",n.init_LogTicker()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(150),s=e(157),o=e(174),a=e(175);class c extends i.AxisView{}r.MercatorAxisView=c,c.__name__=\"MercatorAxisView\";class n extends s.LinearAxis{constructor(e){super(e)}static init_MercatorAxis(){this.prototype.default_view=c,this.override({ticker:()=>new a.MercatorTicker({dimension:\"lat\"}),formatter:()=>new o.MercatorTickFormatter({dimension:\"lat\"})})}}r.MercatorAxis=n,n.__name__=\"MercatorAxis\",n.init_MercatorAxis()},\n",
+       "      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),n=r(113),i=o.__importStar(r(18)),c=r(32);class s extends n.BasicTickFormatter{constructor(r){super(r)}static init_MercatorTickFormatter(){this.define({dimension:[i.LatLon]})}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n<e;n++){const[e]=c.wgs84_mercator.inverse([r[n],t.loc]);o[n]=e}else for(let n=0;n<e;n++){const[,e]=c.wgs84_mercator.inverse([t.loc,r[n]]);o[n]=e}return super.doFormat(o,t)}}e.MercatorTickFormatter=s,s.__name__=\"MercatorTickFormatter\",s.init_MercatorTickFormatter()},\n",
+       "      function _(r,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=r(1),s=r(109),i=n.__importStar(r(18)),t=r(32);class c extends s.BasicTicker{constructor(r){super(r)}static init_MercatorTicker(){this.define({dimension:[i.LatLon]})}get_ticks_no_defaults(r,o,e,n){if(null==this.dimension)throw new Error(\"MercatorTicker.dimension not configured\");let s,i,c;[r,o]=t.clip_mercator(r,o,this.dimension),\"lon\"===this.dimension?([s,c]=t.wgs84_mercator.inverse([r,e]),[i,c]=t.wgs84_mercator.inverse([o,e])):([c,s]=t.wgs84_mercator.inverse([e,r]),[c,i]=t.wgs84_mercator.inverse([e,o]));const a=super.get_ticks_no_defaults(s,i,e,n),_=[],f=[];if(\"lon\"===this.dimension){for(const r of a.major)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);_.push(o)}for(const r of a.minor)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);f.push(o)}}else{for(const r of a.major)if(t.in_bounds(r,\"lat\")){const[,o]=t.wgs84_mercator.forward([c,r]);_.push(o)}for(const r of a.minor)if(t.in_bounds(r,\"lat\")){const[,o]=t.wgs84_mercator.forward([c,r]);f.push(o)}}return{major:_,minor:f}}}e.MercatorTicker=c,c.__name__=\"MercatorTicker\",c.init_MercatorTicker()},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});var t=e(177);o.CustomJS=t.CustomJS;var u=e(179);o.OpenURL=u.OpenURL},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),u=t(178),c=n.__importStar(t(18)),r=t(17),a=t(24);class i extends u.Callback{constructor(t){super(t)}static init_CustomJS(){this.define({args:[c.Any,{}],code:[c.String,\"\"]})}get names(){return r.keys(this.args)}get values(){return r.values(this.args)}get func(){const t=a.use_strict(this.code);return new Function(...this.names,\"cb_obj\",\"cb_data\",t)}execute(t,e={}){return this.func.apply(t,this.values.concat(t,e))}}s.CustomJS=i,i.__name__=\"CustomJS\",i.init_CustomJS()},\n",
+       "      function _(e,c,l){Object.defineProperty(l,\"__esModule\",{value:!0});const a=e(71);class n extends a.Model{constructor(e){super(e)}}l.Callback=n,n.__name__=\"Callback\"},\n",
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${e}`)}closePath(){this.__currentDefaultPath&&this.__addPathCommand(\"Z\")}lineTo(t,e){this.__currentPosition={x:t,y:e},this.__currentDefaultPath.indexOf(\"M\")>-1?this.__addPathCommand(`L ${t} ${e}`):this.__addPathCommand(`M ${t} ${e}`)}bezierCurveTo(t,e,s,i,r,n){this.__currentPosition={x:r,y:n},this.__addPathCommand(`C ${t} ${e} ${s} ${i} ${r} ${n}`)}quadraticCurveTo(t,e,s,i){this.__currentPosition={x:s,y:i},this.__addPathCommand(`Q ${t} ${e} ${s} ${i}`)}arcTo(t,e,s,i,r){if(null==this.__currentPosition)return;const n=this.__currentPosition.x,a=this.__currentPosition.y;if(r<0)throw new Error(\"IndexSizeError: The radius provided (\"+r+\") is negative.\");if(n===t&&a===e||t===s&&e===i||0===r)return void this.lineTo(t,e);function o([t,e]){const s=Math.sqrt(t**2+e**2);return[t/s,e/s]}const l=o([n-t,a-e]),h=o([s-t,i-e]);if(l[0]*h[1]==l[1]*h[0])return void this.lineTo(t,e);const 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r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i},!0);this.__closestGroupOrSvg().appendChild(r),this.__currentElement=r,this.__applyStyleToCurrentElement(\"fill\")}strokeRect(t,e,s,i){const r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i},!0);this.__closestGroupOrSvg().appendChild(r),this.__currentElement=r,this.__applyStyleToCurrentElement(\"stroke\")}__clearCanvas(){const t=this.__closestGroupOrSvg().getAttribute(\"transform\"),e=r(this.__root)[1],s=e.childNodes;for(let t=s.length-1;t>=0;t--)s[t]&&e.removeChild(s[t]);this.__currentElement=e,this.__groupStack=[],t&&this.__addTransform(t)}clearRect(t,e,s,i){if(0===t&&0===e&&s===this.width&&i===this.height)return void this.__clearCanvas();const r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i,fill:\"#FFFFFF\"},!0);this.__closestGroupOrSvg().appendChild(r)}createLinearGradient(t,e,s,i){const r=this.__createElement(\"linearGradient\",{id:n(this.__ids),x1:t+\"px\",x2:s+\"px\",y1:e+\"px\",y2:i+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(r),new c(r,this)}createRadialGradient(t,e,s,i,r,a){const o=this.__createElement(\"radialGradient\",{id:n(this.__ids),cx:i+\"px\",cy:r+\"px\",r:a+\"px\",fx:t+\"px\",fy:e+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(o),new c(o,this)}__parseFont(){const t=/^\\s*(?=(?:(?:[-a-z]+\\s*){0,2}(italic|oblique))?)(?=(?:(?:[-a-z]+\\s*){0,2}(small-caps))?)(?=(?:(?:[-a-z]+\\s*){0,2}(bold(?:er)?|lighter|[1-9]00))?)(?:(?:normal|\\1|\\2|\\3)\\s*){0,3}((?:xx?-)?(?:small|large)|medium|smaller|larger|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx]))(?:\\s*\\/\\s*(normal|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx])))?\\s*([-,\\'\\\"\\sa-z0-9]+?)\\s*$/i.exec(this.font),e={style:t[1]||\"normal\",size:t[4]||\"10px\",family:t[6]||\"sans-serif\",weight:t[3]||\"normal\",decoration:t[2]||\"normal\"};return\"underline\"===this.__fontUnderline&&(e.decoration=\"underline\"),null!=this.__fontHref&&(e.href=this.__fontHref),e}__wrapTextLink(t,e){if(t.href){const s=this.__createElement(\"a\");return s.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.href),s.appendChild(e),s}return e}__applyText(t,e,s,i){const r=this.__parseFont(),n=this.__closestGroupOrSvg(),l=this.__createElement(\"text\",{\"font-family\":r.family,\"font-size\":r.size,\"font-style\":r.style,\"font-weight\":r.weight,\"text-decoration\":r.decoration,x:e,y:s,\"text-anchor\":a(this.textAlign),\"dominant-baseline\":o(this.textBaseline)},!0);l.appendChild(this.__document.createTextNode(t)),this.__currentElement=l,this.__applyStyleToCurrentElement(i),n.appendChild(this.__wrapTextLink(r,l))}fillText(t,e,s){this.__applyText(t,e,s,\"fill\")}strokeText(t,e,s){this.__applyText(t,e,s,\"stroke\")}measureText(t){return this.__ctx.font=this.font,this.__ctx.measureText(t)}arc(t,e,s,i,r,n=!1){if(i===r)return;(i%=2*Math.PI)===(r%=2*Math.PI)&&(r=(r+2*Math.PI-.001*(n?-1:1))%(2*Math.PI));const a=t+s*Math.cos(r),o=e+s*Math.sin(r),l=t+s*Math.cos(i),h=e+s*Math.sin(i),c=n?0:1;let _=0,u=r-i;u<0&&(u+=2*Math.PI),_=n?u>Math.PI?0:1:u>Math.PI?1:0,this.moveTo(l,h);const d=s,p=s;this.__addPathCommand(`A ${d} ${p} 0 ${_} ${c} ${a} ${o}`),this.__currentPosition={x:a,y:o}}clip(){const t=this.__closestGroupOrSvg(),e=this.__createElement(\"clipPath\"),s=n(this.__ids),i=this.__createElement(\"g\");this.__applyCurrentDefaultPath(),t.removeChild(this.__currentElement),e.setAttribute(\"id\",s),e.appendChild(this.__currentElement),this.__defs.appendChild(e),t.setAttribute(\"clip-path\",`url(#${s})`),t.appendChild(i),this.__currentElement=i}drawImage(t,...e){let s,i,n,a,o,l,h,c;if(2==e.length)[s,i]=e,o=0,l=0,h=t.width,c=t.height,n=h,a=c;else if(4==e.length)[s,i,n,a]=e,o=0,l=0,h=t.width,c=t.height;else{if(8!==e.length)throw new Error(\"Inavlid number of arguments passed to drawImage: \"+arguments.length);[o,l,h,c,s,i,n,a]=e}const _=this.__closestGroupOrSvg(),d=\"translate(\"+s+\", \"+i+\")\";if(t instanceof u){const e=t.getSvg().cloneNode(!0);if(e.childNodes&&e.childNodes.length>1){const t=r(e)[0];for(;t.childNodes.length;){const e=r(t)[0].getAttribute(\"id\");this.__ids[e]=e,this.__defs.appendChild(r(t)[0])}const s=r(e)[1];if(s){const t=s.getAttribute(\"transform\");let e;e=t?t+\" \"+d:d,s.setAttribute(\"transform\",e),_.appendChild(s)}}}else if(t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__createElement(\"image\");if(e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\"),o||l||h!==t.width||c!==t.height){const e=this.__document.createElement(\"canvas\");e.width=n,e.height=a,e.getContext(\"2d\").drawImage(t,o,l,h,c,0,0,n,a),t=e}e.setAttribute(\"transform\",d);const s=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",s),_.appendChild(e)}else if(t instanceof HTMLCanvasElement){const e=this.__createElement(\"image\");e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\");const s=this.__document.createElement(\"canvas\");s.width=n,s.height=a;const i=s.getContext(\"2d\");i.imageSmoothingEnabled=!1,i.drawImage(t,o,l,h,c,0,0,n,a),t=s,e.setAttribute(\"transform\",d),e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.toDataURL()),_.appendChild(e)}}createPattern(t,e){const s=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),i=n(this.__ids);let r;if(s.setAttribute(\"id\",i),s.setAttribute(\"width\",\"\"+t.width),s.setAttribute(\"height\",\"\"+t.height),t instanceof HTMLCanvasElement||t instanceof HTMLImageElement||t instanceof SVGImageElement){r=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\"),r.setAttribute(\"width\",\"\"+t.width),r.setAttribute(\"height\",\"\"+t.height);const e=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");r.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",e),s.appendChild(r),this.__defs.appendChild(s)}else t instanceof u&&(s.appendChild(t.__root.childNodes[1]),this.__defs.appendChild(s));return new _(s,this)}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}}s.SVGRenderingContext2D=u,u.__name__=\"SVGRenderingContext2D\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(185),_=e(121),n=e(130),r=e(131),i=e(186),g=e(90),c=e(188);class h extends c.LayoutItem{constructor(e,t,s,a,_={},n={}){super(),this.x_scale=e,this.y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=n,this._configure_scales()}map_to_screen(e,t,s=\"default\",a=\"default\"){return[this.xscales[s].v_compute(e),this.yscales[a].v_compute(t)]}_get_ranges(e,t){return Object.assign(Object.assign({},t),{default:e})}_get_scales(e,t,s){const c={};for(const h in t){const o=t[h];if((o instanceof i.DataRange1d||o instanceof r.Range1d)&&!(e instanceof _.ContinuousScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);if(o instanceof g.FactorRange&&!(e instanceof a.CategoricalScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&o instanceof i.DataRange1d&&(o.scale_hint=\"log\");const l=e.clone();l.setv({source_range:o,target_range:s}),c[h]=l}return c}_configure_frame_ranges(){this._h_target=new r.Range1d({start:this._left.value,end:this._right.value}),this._v_target=new r.Range1d({start:this._bottom.value,end:this._top.value})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._xscales=this._get_scales(this.x_scale,this._x_ranges,this._h_target),this._yscales=this._get_scales(this.y_scale,this._y_ranges,this._v_target)}_update_scales(){this._configure_frame_ranges();for(const e in this._xscales){this._xscales[e].target_range=this._h_target}for(const e in this._yscales){this._yscales[e].target_range=this._v_target}}_set_geometry(e,t){super._set_geometry(e,t),this._update_scales()}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get xscales(){return this._xscales}get yscales(){return this._yscales}}s.CartesianFrame=h,h.__name__=\"CartesianFrame\"},\n",
+       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(122);class _ extends n.Scale{constructor(e){super(e)}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}t.CategoricalScale=_,_.__name__=\"CategoricalScale\"},\n",
+       "      function _(t,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=t(1),a=t(187),s=t(81),l=t(72),_=e.__importStar(t(18)),o=e.__importStar(t(88)),r=t(9);class h extends a.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}static init_DataRange1d(){this.define({start:[_.Number],end:[_.Number],range_padding:[_.Number,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[_.Boolean,!1],follow:[_.StartEnd],follow_interval:[_.Number],default_span:[_.Number,2],only_visible:[_.Boolean,!1]}),this.internal({scale_hint:[_.String,\"auto\"]})}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const t=this.names;let i=this.renderers;if(0==i.length)for(const t of this.plots){const n=t.renderers.filter(t=>t instanceof s.GlyphRenderer);i=i.concat(n)}t.length>0&&(i=i.filter(i=>r.includes(t,i.name))),l.logger.debug(`computed ${i.length} renderers for ${this}`);for(const t of i)l.logger.trace(\" - \"+t);return i}_compute_plot_bounds(t,i){let n=o.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=o.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=o.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return e<i*a?e=i*a:a=e/i,n.x1=s+.5*e,n.x0=s-.5*e,n.y1=l+.5*a,n.y0=l-.5*a,n}_compute_min_max(t,i){let n,e,a=o.empty();for(const i of t)a=o.union(a,i);return[n,e]=0==i?[a.x0,a.x1]:[a.y0,a.y1],[n,e]}_compute_range(t,i){const n=this.range_padding;let e,a;if(null!=this._initial_start&&(t=this._initial_start),null!=this._initial_end&&(i=this._initial_end),\"log\"==this.scale_hint){let s,_;if((isNaN(t)||!isFinite(t)||t<=0)&&(t=isNaN(i)||!isFinite(i)||i<=0?.1:i/100,l.logger.warn(\"could not determine minimum data value for log axis, DataRange1d using value \"+t)),(isNaN(i)||!isFinite(i)||i<=0)&&(i=isNaN(t)||!isFinite(t)||t<=0?10:100*t,l.logger.warn(\"could not determine maximum data value for log axis, DataRange1d using value \"+i)),i==t)_=this.default_span+.001,s=Math.log(t)/Math.log(10);else{let e,a;\"percent\"==this.range_padding_units?(e=Math.log(t)/Math.log(10),a=Math.log(i)/Math.log(10),_=(a-e)*(1+n)):(e=Math.log(t-n)/Math.log(10),a=Math.log(i+n)/Math.log(10),_=a-e),s=(e+a)/2}e=10**(s-_/2),a=10**(s+_/2)}else{let s;s=i==t?this.default_span:\"percent\"==this.range_padding_units?(i-t)*(1+n):i-t+2*n;const l=(i+t)/2;e=l-s/2,a=l+s/2}let s=1;this.flipped&&([e,a]=[a,e],s=-1);const _=this.follow_interval;return null!=_&&Math.abs(e-a)>_&&(\"start\"==this.follow?a=e+s*_:\"end\"==this.follow&&(e=a-s*_)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);const[h,d]=[this.start,this.end];if(o!=h||r!=d){const t={};o!=h&&(t.start=o),r!=d&&(t.end=r),this.setv(t)}\"auto\"==this.bounds&&this.setv({bounds:[o,r]},{silent:!0}),this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=h,h.__name__=\"DataRange1d\",h.init_DataRange1d()},\n",
+       "      function _(e,a,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),r=e(91),s=n.__importStar(e(18));class _ extends r.Range{constructor(e){super(e)}static init_DataRange(){this.define({names:[s.Array,[]],renderers:[s.Array,[]]})}}t.DataRange=_,_.__name__=\"DataRange\",_.init_DataRange()},\n",
+       "      function _(a,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=a(189);t.Sizeable=e.Sizeable;var r=a(190);t.Layoutable=r.Layoutable,t.LayoutItem=r.LayoutItem;var n=a(191);t.HStack=n.HStack,t.VStack=n.VStack,t.AnchorLayout=n.AnchorLayout;var u=a(192);t.Grid=u.Grid,t.Row=u.Row,t.Column=u.Column;var c=a(193);t.ContentBox=c.ContentBox,t.VariadicBox=c.VariadicBox},\n",
+       "      function _(h,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const{min:e,max:w}=Math;class d{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new d({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new d({width:h!=1/0?w(this.width,h):this.width,height:t!=1/0?w(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=w(this.width,h),this.height=w(this.height,t)}narrowed_to({width:h,height:t}){return new d({width:e(this.width,h),height:e(this.height,t)})}narrow_to({width:h,height:t}){this.width=e(this.width,h),this.height=e(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,s=this.height+i+e;return new d({width:w,height:s})}shrink_by({left:h,right:t,top:i,bottom:e}){const s=w(this.width-h-t,0),n=w(this.height-i-e,0);return new d({width:s,height:n})}map(h,t){return new d({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=d,d.__name__=\"Sizeable\"},\n",
+       "      function _(i,t,h){Object.defineProperty(h,\"__esModule\",{value:!0});const e=i(189),s=i(88),{min:n,max:g,round:a}=Math;class r{constructor(){this._bbox=new s.BBox,this._inner_bbox=new s.BBox;const i=this;this._top={get value(){return i.bbox.top}},this._left={get value(){return i.bbox.left}},this._width={get value(){return i.bbox.width}},this._height={get value(){return i.bbox.height}},this._right={get value(){return i.bbox.right}},this._bottom={get value(){return i.bbox.bottom}},this._hcenter={get value(){return i.bbox.hcenter}},this._vcenter={get value(){return i.bbox.vcenter}}}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set_sizing(i){const t=i.width_policy||\"fit\",h=i.width,e=null!=i.min_width?i.min_width:0,s=null!=i.max_width?i.max_width:1/0,n=i.height_policy||\"fit\",g=i.height,a=null!=i.min_height?i.min_height:0,r=null!=i.max_height?i.max_height:1/0,l=i.aspect,_=i.margin||{top:0,right:0,bottom:0,left:0},d=!1!==i.visible,o=i.halign||\"start\",u=i.valign||\"start\";this._sizing={width_policy:t,min_width:e,width:h,max_width:s,height_policy:n,min_height:a,height:g,max_height:r,aspect:l,margin:_,visible:d,halign:o,valign:u,size:{width:h,height:g},min_size:{width:e,height:a},max_size:{width:s,height:r}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,t||i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:s,height_policy:n}=this.sizing,g=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=s&&\"fixed\"!=n)if(s==n){const s=t,n=a(t/e),g=a(h*e),r=h;Math.abs(i.width-s)+Math.abs(i.height-n)<=Math.abs(i.width-g)+Math.abs(i.height-r)?(t=s,h=n):(t=g,h=r)}else g(s,n)?h=a(t/e):t=a(h*e);else\"fixed\"==s?h=a(t/e):\"fixed\"==n&&(t=a(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,s=new e.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(s),g=this.clip_size(n),a=t(g.width),r=h(g.height),l=this.apply_aspect(s,{width:a,height:r});return Object.assign(Object.assign({},n),l)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new s.BBox({left:0,top:0,width:h,height:e});let g=void 0;if(null!=t.inner){const{left:i,top:n,right:a,bottom:r}=t.inner;g=new s.BBox({left:i,top:n,right:h-a,bottom:e-r})}this.set_geometry(n,g)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_width(i){return g(this.sizing.min_width,n(i,this.sizing.max_width))}clip_height(i){return g(this.sizing.min_height,n(i,this.sizing.max_height))}clip_size({width:i,height:t}){return{width:this.clip_width(i),height:this.clip_height(t)}}}h.Layoutable=r,r.__name__=\"Layoutable\";class l extends r{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;let e,s;if(i.width==1/0)e=null!=this.sizing.width?this.sizing.width:0;else switch(t){case\"fixed\":e=null!=this.sizing.width?this.sizing.width:0;break;case\"min\":e=null!=this.sizing.width?n(i.width,this.sizing.width):0;break;case\"fit\":e=null!=this.sizing.width?n(i.width,this.sizing.width):i.width;break;case\"max\":e=null!=this.sizing.width?g(i.width,this.sizing.width):i.width}if(i.height==1/0)s=null!=this.sizing.height?this.sizing.height:0;else switch(h){case\"fixed\":s=null!=this.sizing.height?this.sizing.height:0;break;case\"min\":s=null!=this.sizing.height?n(i.height,this.sizing.height):0;break;case\"fit\":s=null!=this.sizing.height?n(i.height,this.sizing.height):i.height;break;case\"max\":s=null!=this.sizing.height?g(i.height,this.sizing.height):i.height}return{width:e,height:s}}}h.LayoutItem=l,l.__name__=\"LayoutItem\";class _ extends r{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=_,_.__name__=\"ContentLayoutable\"},\n",
+       "      function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const o=t(190),r=t(88);class i extends o.Layoutable{constructor(){super(...arguments),this.children=[]}}h.Stack=i,i.__name__=\"Stack\";class s extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e+=o.width,h=Math.max(h,o.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{top:h,bottom:o}=t;let{left:i}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({left:i,width:e,top:h,bottom:o})),i+=e}}}h.HStack=s,s.__name__=\"HStack\";class n extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e=Math.max(e,o.width),h+=o.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{left:h,right:o}=t;let{top:i}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({top:i,height:e,left:h,right:o})),i+=e}}}h.VStack=n,n.__name__=\"VStack\";class c extends o.Layoutable{constructor(){super(...arguments),this.children=[]}_measure(t){let e=0,h=0;for(const{layout:o}of this.children){const r=o.measure(t);e=Math.max(e,r.width),h=Math.max(h,r.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);for(const{layout:e,anchor:h,margin:o}of this.children){const{left:i,right:s,top:n,bottom:c,hcenter:a,vcenter:_}=t,{width:g,height:d}=e.measure(t);let m;switch(h){case\"top_left\":m=new r.BBox({left:i+o,top:n+o,width:g,height:d});break;case\"top_center\":m=new r.BBox({hcenter:a,top:n+o,width:g,height:d});break;case\"top_right\":m=new r.BBox({right:s-o,top:n+o,width:g,height:d});break;case\"bottom_right\":m=new r.BBox({right:s-o,bottom:c-o,width:g,height:d});break;case\"bottom_center\":m=new r.BBox({hcenter:a,bottom:c-o,width:g,height:d});break;case\"bottom_left\":m=new r.BBox({left:i+o,bottom:c-o,width:g,height:d});break;case\"center_left\":m=new r.BBox({left:i+o,vcenter:_,width:g,height:d});break;case\"center\":m=new r.BBox({hcenter:a,vcenter:_,width:g,height:d});break;case\"center_right\":m=new r.BBox({right:s-o,vcenter:_,width:g,height:d})}e.set_geometry(m)}}}h.AnchorLayout=c,c.__name__=\"AnchorLayout\"},\n",
+       "      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(189),o=t(190),n=t(8),r=t(88),h=t(9),{max:l,round:c}=Math;class a{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}a.__name__=\"DefaultMap\";class g{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=l(this._nrows,s+1),this._ncols=l(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter(({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1).map(({data:t})=>t)}row(t){return this._items.filter(({span:i})=>i.r0<=t&&t<=i.r1).map(({data:t})=>t)}col(t){return this._items.filter(({span:i})=>i.c0<=t&&t<=i.c1).map(({data:t})=>t)}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new g;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}g.__name__=\"Container\";class p extends o.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0,this.absolute=!1}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}_init(){super._init();const t=new g;for(const{layout:i,row:s,col:e,row_span:o,col_span:n}of this.items)if(i.sizing.visible){const r=s,h=e,l=s+(null!=o?o:1)-1,c=e+(null!=n?n:1)-1;t.add({r0:r,c0:h,r1:l,c1:c},i)}const{nrows:i,ncols:s}=t,e=new Array(i);for(let s=0;s<i;s++){const i=(()=>{const t=n.isPlainObject(this.rows)?this.rows[s]||this.rows[\"*\"]:this.rows;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",height:t}:n.isString(t)?{policy:t}:t})(),o=i.align||\"auto\";if(\"fixed\"==i.policy)e[s]={policy:\"fixed\",height:i.height,align:o};else if(\"min\"==i.policy)e[s]={policy:\"min\",align:o};else if(\"fit\"==i.policy||\"max\"==i.policy)e[s]={policy:i.policy,flex:i.flex||1,align:o};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");h.some(t.row(s),t=>t.is_height_expanding())?e[s]={policy:\"max\",flex:1,align:o}:e[s]={policy:\"min\",align:o}}}const o=new Array(s);for(let i=0;i<s;i++){const s=(()=>{const t=n.isPlainObject(this.cols)?this.cols[i]||this.cols[\"*\"]:this.cols;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",width:t}:n.isString(t)?{policy:t}:t})(),e=s.align||\"auto\";if(\"fixed\"==s.policy)o[i]={policy:\"fixed\",width:s.width,align:e};else if(\"min\"==s.policy)o[i]={policy:\"min\",align:e};else if(\"fit\"==s.policy||\"max\"==s.policy)o[i]={policy:s.policy,flex:s.flex||1,align:e};else{if(\"auto\"!=s.policy)throw new Error(\"unrechable\");h.some(t.col(i),t=>t.is_width_expanding())?o[i]={policy:\"max\",flex:1,align:e}:o[i]={policy:\"min\",align:e}}}const[r,l]=n.isNumber(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:t,nrows:i,ncols:s,rows:e,cols:o,rspacing:r,cspacing:l}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:h.sum(t)+(s-1)*o,width:h.sum(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:o,rows:n,cols:r,rspacing:h,cspacing:a}=this._state,p=new Array(s);for(let t=0;t<s;t++){const i=n[t];p[t]=\"fixed\"==i.policy?i.height:0}const _=new Array(o);for(let t=0;t<o;t++){const i=r[t];_[t]=\"fixed\"==i.policy?i.width:0}const f=new g;return i.foreach((i,s)=>{const{r0:o,c0:g,r1:d,c1:w}=i,u=(d-o)*h,m=(w-g)*a;let y=0;for(let i=o;i<=d;i++)y+=t(i,g).height;y+=u;let x=0;for(let i=g;i<=w;i++)x+=t(o,i).width;x+=m;const b=s.measure({width:x,height:y});f.add(i,{layout:s,size_hint:b});const z=new e.Sizeable(b).grow_by(s.sizing.margin);z.height-=u,z.width-=m;const j=[];for(let t=o;t<=d;t++){const i=n[t];\"fixed\"==i.policy?z.height-=i.height:j.push(t)}if(z.height>0){const t=c(z.height/j.length);for(const i of j)p[i]=l(p[i],t)}const O=[];for(let t=g;t<=w;t++){const i=r[t];\"fixed\"==i.policy?z.width-=i.width:O.push(t)}if(z.width>0){const t=c(z.width/O.length);for(const i of O)_[i]=l(_[i],t)}}),{size:this._measure_totals(p,_),row_heights:p,col_widths:_,size_hints:f}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:r}=this._state,h=this._measure_cells((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}});let a;a=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:h.size.height;let g,p=0;for(let t=0;t<i;t++){const i=e[t];\"fit\"==i.policy||\"max\"==i.policy?p+=i.flex:a-=h.row_heights[t]}if(a-=(i-1)*n,0!=p&&a>0)for(let t=0;t<i;t++){const i=e[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(a*(i.flex/p));a-=s,h.row_heights[t]=s,p-=i.flex}}else if(a<0){let t=0;for(let s=0;s<i;s++){\"fixed\"!=e[s].policy&&t++}let s=-a;for(let o=0;o<i;o++){if(\"fixed\"!=e[o].policy){const i=h.row_heights[o],e=c(s/t);h.row_heights[o]=l(i-e,0),s-=e>i?i:e,t--}}}g=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:h.size.width;let _=0;for(let t=0;t<s;t++){const i=o[t];\"fit\"==i.policy||\"max\"==i.policy?_+=i.flex:g-=h.col_widths[t]}if(g-=(s-1)*r,0!=_&&g>0)for(let t=0;t<s;t++){const i=o[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(g*(i.flex/_));g-=s,h.col_widths[t]=s,_-=i.flex}}else if(g<0){let t=0;for(let i=0;i<s;i++){\"fixed\"!=o[i].policy&&t++}let i=-g;for(let e=0;e<s;e++){if(\"fixed\"!=o[e].policy){const s=h.col_widths[e],o=c(i/t);h.col_widths[e]=l(s-o,0),i-=o>s?s:o,t--}}}const{row_heights:f,col_widths:d,size_hints:w}=this._measure_cells((t,i)=>({width:h.col_widths[i],height:h.row_heights[t]}));return{size:this._measure_totals(f,d),row_heights:f,col_widths:d,size_hints:w}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:h,col_widths:g,size_hints:p}=this._measure_grid(t),_=this._state.rows.map((t,i)=>Object.assign(Object.assign({},t),{top:0,height:h[i],get bottom(){return this.top+this.height}})),f=this._state.cols.map((t,i)=>Object.assign(Object.assign({},t),{left:0,width:g[i],get right(){return this.left+this.width}})),d=p.map((t,i)=>Object.assign(Object.assign({},i),{outer:new r.BBox,inner:new r.BBox}));for(let i=0,e=this.absolute?t.top:0;i<s;i++){const t=_[i];t.top=e,e+=t.height+o}for(let i=0,s=this.absolute?t.left:0;i<e;i++){const t=f[i];t.left=s,s+=t.width+n}d.foreach(({r0:t,c0:i,r1:s,c1:e},h)=>{const{layout:l,size_hint:a}=h,{sizing:g}=l,{width:p,height:d}=a,w=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=f[e].width;return s}(i,e),u=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=_[e].height;return s}(t,s),m=i==e&&\"auto\"!=f[i].align?f[i].align:g.halign,y=t==s&&\"auto\"!=_[t].align?_[t].align:g.valign;let x=f[i].left;\"start\"==m?x+=g.margin.left:\"center\"==m?x+=c((w-p)/2):\"end\"==m&&(x+=w-g.margin.right-p);let b=_[t].top;\"start\"==y?b+=g.margin.top:\"center\"==y?b+=c((u-d)/2):\"end\"==y&&(b+=u-g.margin.bottom-d),h.outer=new r.BBox({left:x,top:b,width:p,height:d})});const w=_.map(()=>({start:new a(()=>0),end:new a(()=>0)})),u=f.map(()=>({start:new a(()=>0),end:new a(()=>0)}));d.foreach(({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:r}=o;null!=r&&(w[t].start.apply(n.top,t=>l(t,r.top)),w[s].end.apply(_[s].bottom-n.bottom,t=>l(t,r.bottom)),u[i].start.apply(n.left,t=>l(t,r.left)),u[e].end.apply(f[e].right-n.right,t=>l(t,r.right)))}),d.foreach(({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:h}=o;function l({left:t,right:i,top:s,bottom:e}){const o=h.width-t-i,n=h.height-s-e;return new r.BBox({left:t,top:s,width:o,height:n})}if(null!=n.inner){let r=l(n.inner);if(!1!==n.align){const o=w[t].start.get(h.top),n=w[s].end.get(_[s].bottom-h.bottom),c=u[i].start.get(h.left),a=u[e].end.get(f[e].right-h.right);try{r=l({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=r}else o.inner=h}),d.foreach((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)})}}s.Grid=p,p.__name__=\"Grid\";class _ extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:0,col:i})),this.rows=\"fit\"}}s.Row=_,_.__name__=\"Row\";class f extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:i,col:0})),this.cols=\"fit\"}}s.Column=f,f.__name__=\"Column\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(190),i=e(189),a=e(68);class c extends n.ContentLayoutable{constructor(e){super(),this.content_size=a.unsized(e,()=>new i.Sizeable(a.size(e)))}_content_size(){return this.content_size}}s.ContentBox=c,c.__name__=\"ContentBox\";class o extends n.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new i.Sizeable(e).bounded_to(this.sizing.size);return a.sized(this.el,t,()=>{const e=new i.Sizeable(a.content_size(this.el)),{border:t,padding:s}=a.extents(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)})}}s.VariadicBox=o,o.__name__=\"VariadicBox\";class r extends o{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=r,r.__name__=\"CachedVariadicBox\"},\n",
+       "      function _(e,r,u){Object.defineProperty(u,\"__esModule\",{value:!0});var a=e(195);u.Expression=a.Expression;var n=e(196);u.Stack=n.Stack;var o=e(197);u.CumSum=o.CumSum},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(71);class i extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}v_compute(e){this._connected.has(e)||(this.connect(e.change,()=>this._result.delete(e)),this.connect(e.patching,()=>this._result.delete(e)),this.connect(e.streaming,()=>this._result.delete(e)),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=i,i.__name__=\"Expression\"},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),o=t(195),r=i.__importStar(t(18));class s extends o.Expression{constructor(t){super(t)}static init_Stack(){this.define({fields:[r.Array,[]]})}_v_compute(t){var e;const n=null!==(e=t.get_length())&&void 0!==e?e:0,i=new Float64Array(n);for(const e of this.fields){const o=t.data[e];if(null!=o)for(let t=0,e=Math.min(n,o.length);t<e;t++)i[t]+=o[t]}return i}}n.Stack=s,s.__name__=\"Stack\",s.init_Stack()},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),u=e(195),o=i.__importStar(e(18));class r extends u.Expression{constructor(e){super(e)}static init_CumSum(){this.define({field:[o.String],include_zero:[o.Boolean,!1]})}_v_compute(e){const t=new Float64Array(e.get_length()||0),n=e.data[this.field],i=this.include_zero?1:0;t[0]=this.include_zero?0:n[0];for(let e=1;e<t.length;e++)t[e]=t[e-1]+n[e-i];return t}}n.CumSum=r,r.__name__=\"CumSum\",r.init_CumSum()},\n",
+       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});var l=e(199);t.BooleanFilter=l.BooleanFilter;var i=e(201);t.CustomJSFilter=i.CustomJSFilter;var o=e(200);t.Filter=o.Filter;var F=e(202);t.GroupFilter=F.GroupFilter;var a=e(203);t.IndexFilter=a.IndexFilter},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(200),i=o.__importStar(e(18)),r=e(72),a=e(9),s=e(8);class g extends l.Filter{constructor(e){super(e)}static init_BooleanFilter(){this.define({booleans:[i.Array,null]})}compute_indices(e){const n=this.booleans;return null!=n&&n.length>0?a.every(n,s.isBoolean)?(n.length!==e.get_length()&&r.logger.warn(this+\": length of booleans doesn't match data source\"),a.range(0,n.length).filter(e=>!0===n[e])):(r.logger.warn(this+\": booleans should be array of booleans, defaulting to no filtering\"),null):(null!=n&&0==n.length?r.logger.warn(this+\": booleans is empty, defaulting to no filtering\"):r.logger.warn(this+\": booleans was not set, defaulting to no filtering\"),null)}}t.BooleanFilter=g,g.__name__=\"BooleanFilter\",g.init_BooleanFilter()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),l=i.__importStar(e(18)),o=e(8),s=e(9),a=e(72);class f extends n.Model{constructor(e){super(e)}static init_Filter(){this.define({filter:[l.Array,null]})}compute_indices(e){const t=this.filter;return null!=t?o.isArrayOf(t,o.isBoolean)?s.range(0,t.length).filter(e=>!0===t[e]):o.isArrayOf(t,o.isInteger)?t:(a.logger.warn(this+\": filter should either be array of only booleans or only integers, defaulting to no filtering\"),null):(a.logger.warn(this+\": filter was not set to be an array, defaulting to no filtering\"),null)}}r.Filter=f,f.__name__=\"Filter\",f.init_Filter()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),r=t(200),n=i.__importStar(t(18)),u=t(17),c=t(24);class o extends r.Filter{constructor(t){super(t)}static init_CustomJSFilter(){this.define({args:[n.Any,{}],code:[n.String,\"\"]})}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const t=c.use_strict(this.code);return new Function(...this.names,\"source\",t)}compute_indices(t){return this.filter=this.func(...this.values,t),super.compute_indices(t)}}s.CustomJSFilter=o,o.__name__=\"CustomJSFilter\",o.init_CustomJSFilter()},\n",
+       "      function _(t,n,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),r=t(200),o=e.__importStar(t(18)),u=t(72),l=t(9);class s extends r.Filter{constructor(t){super(t),this.indices=null}static init_GroupFilter(){this.define({column_name:[o.String],group:[o.String]})}compute_indices(t){const n=t.get_column(this.column_name);return null==n?(u.logger.warn(\"group filter: groupby column not found in data source\"),null):(this.indices=l.range(0,t.get_length()||0).filter(t=>n[t]===this.group),0===this.indices.length&&u.logger.warn(`group filter: group '${this.group}' did not match any values in column '${this.column_name}'`),this.indices)}}i.GroupFilter=s,s.__name__=\"GroupFilter\",s.init_GroupFilter()},\n",
+       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),r=e(200),s=t.__importStar(e(18)),l=e(72),d=e(8),o=e(9);class c extends r.Filter{constructor(e){super(e)}static init_IndexFilter(){this.define({indices:[s.Array,null]})}compute_indices(e){return null!=this.indices?o.every(this.indices,d.isInteger)?this.indices:(l.logger.warn(this+\": indices should be array of integers, defaulting to no filtering\"),null):(l.logger.warn(this+\": indices was not set, defaulting to no filtering\"),null)}}n.IndexFilter=c,c.__name__=\"IndexFilter\",c.init_IndexFilter()},\n",
+       "      function _(r,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});var e=r(113);a.BasicTickFormatter=e.BasicTickFormatter;var c=r(154);a.CategoricalTickFormatter=c.CategoricalTickFormatter;var i=r(158);a.DatetimeTickFormatter=i.DatetimeTickFormatter;var o=r(205);a.FuncTickFormatter=o.FuncTickFormatter;var m=r(171);a.LogTickFormatter=m.LogTickFormatter;var F=r(174);a.MercatorTickFormatter=F.MercatorTickFormatter;var k=r(206);a.NumeralTickFormatter=k.NumeralTickFormatter;var T=r(207);a.PrintfTickFormatter=T.PrintfTickFormatter;var v=r(114);a.TickFormatter=v.TickFormatter},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),s=t(114),i=r.__importStar(t(18)),c=t(17),a=t(24);class u extends s.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map((t,e,r)=>n(t,e,r,...this.values))}}n.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n",
+       "      function _(r,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=r(1),o=e.__importStar(r(161)),a=r(114),i=e.__importStar(r(18));class u extends a.TickFormatter{constructor(r){super(r)}static init_NumeralTickFormatter(){this.define({format:[i.String,\"0,0\"],language:[i.String,\"en\"],rounding:[i.RoundingFunction,\"round\"]})}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,t){const{format:n,language:e,_rounding_fn:a}=this;return r.map(r=>o.format(r,n,e,a))}}n.NumeralTickFormatter=u,u.__name__=\"NumeralTickFormatter\",u.init_NumeralTickFormatter()},\n",
+       "      function _(t,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),n=t(114),o=t(160),a=e.__importStar(t(18));class c extends n.TickFormatter{constructor(t){super(t)}static init_PrintfTickFormatter(){this.define({format:[a.String,\"%s\"]})}doFormat(t,r){return t.map(t=>o.sprintf(this.format,t))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n",
+       "      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var v=a(209);r.AnnularWedge=v.AnnularWedge;var l=a(210);r.Annulus=l.Annulus;var t=a(211);r.Arc=t.Arc;var i=a(212);r.Bezier=i.Bezier;var n=a(213);r.Circle=n.Circle;var u=a(214);r.CenterRotatable=u.CenterRotatable;var c=a(215);r.Ellipse=c.Ellipse;var g=a(216);r.EllipseOval=g.EllipseOval;var A=a(89);r.Glyph=A.Glyph;var p=a(95);r.HArea=p.HArea;var s=a(217);r.HBar=s.HBar;var d=a(219);r.HexTile=d.HexTile;var R=a(220);r.Image=R.Image;var o=a(222);r.ImageRGBA=o.ImageRGBA;var y=a(223);r.ImageURL=y.ImageURL;var h=a(83);r.Line=h.Line;var m=a(225);r.MultiLine=m.MultiLine;var B=a(226);r.MultiPolygons=B.MultiPolygons;var P=a(227);r.Oval=P.Oval;var G=a(94);r.Patch=G.Patch;var H=a(228);r.Patches=H.Patches;var I=a(229);r.Quad=I.Quad;var L=a(230);r.Quadratic=L.Quadratic;var M=a(231);r.Ray=M.Ray;var O=a(232);r.Rect=O.Rect;var x=a(233);r.Segment=x.Segment;var C=a(234);r.Step=C.Step;var E=a(235);r.Text=E.Text;var Q=a(97);r.VArea=Q.VArea;var S=a(236);r.VBar=S.VBar;var T=a(237);r.Wedge=T.Wedge;var V=a(84);r.XYGlyph=V.XYGlyph},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),o=e(10),h=e(79);class u extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius,this._angle=new Float32Array(this._start_angle.length);for(let e=0,t=this._start_angle.length;e<t;e++)this._angle[e]=this._end_angle[e]-this._start_angle[e]}_render(e,t,{sx:s,sy:i,_start_angle:r,_angle:n,sinner_radius:a,souter_radius:_}){const o=this.model.properties.direction.value();for(const h of t)isNaN(s[h]+i[h]+a[h]+_[h]+r[h]+n[h])||(e.translate(s[h],i[h]),e.rotate(r[h]),e.moveTo(_[h],0),e.beginPath(),e.arc(0,0,_[h],0,n[h],o),e.rotate(n[h]),e.lineTo(a[h],0),e.arc(0,0,a[h],0,-n[h],!o),e.closePath(),e.rotate(-n[h]-r[h]),e.translate(-s[h],-i[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,h),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,h),e.stroke()))}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,a,_,u;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,_=i+this.max_outer_radius,a=r-this.max_outer_radius,u=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,_]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,o=s+this.max_outer_radius;[a,u]=this.renderer.yscale.r_invert(r,o)}const d=[];for(const e of this.index.indices({x0:n,x1:_,y0:a,y1:u})){const t=this.souter_radius[e]**2,s=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[_,o]=this.renderer.yscale.r_compute(r,this._y[e]),h=(n-a)**2+(_-o)**2;h<=t&&h>=s&&d.push([e,h])}const l=this.model.properties.direction.value(),c=[];for(const[e,i]of d){const r=Math.atan2(s-this.sy[e],t-this.sx[e]);o.angle_between(-r,-this._start_angle[e],-this._end_angle[e],l)&&c.push([e,i])}return h.Selection.from_hits(c)}draw_legend_for_index(e,t,s){n.generic_area_legend(this.visuals,e,t,s)}_scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+t*Math.cos(s),y:this.sy[e]+t*Math.sin(s)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}s.AnnularWedgeView=u,u.__name__=\"AnnularWedgeView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=u,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],inner_radius:[_.DistanceSpec],outer_radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.AnnularWedge=d,d.__name__=\"AnnularWedge\",d.init_AnnularWedge()},\n",
+       "      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(18)),_=s(28),u=s(79);class o extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius}_render(s,i,{sx:e,sy:t,sinner_radius:r,souter_radius:a}){for(const n of i)if(!isNaN(e[n]+t[n]+r[n]+a[n])){if(this.visuals.fill.doit){if(this.visuals.fill.set_vectorize(s,n),s.beginPath(),_.is_ie)for(const i of[!1,!0])s.arc(e[n],t[n],r[n],0,Math.PI,i),s.arc(e[n],t[n],a[n],Math.PI,0,!i);else s.arc(e[n],t[n],r[n],0,2*Math.PI,!0),s.arc(e[n],t[n],a[n],2*Math.PI,0,!1);s.fill()}this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),s.beginPath(),s.arc(e[n],t[n],r[n],0,2*Math.PI),s.moveTo(e[n]+a[n],t[n]),s.arc(e[n],t[n],a[n],0,2*Math.PI),s.stroke())}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,_,o;if(\"data\"==this.model.properties.outer_radius.units)a=t-this.max_outer_radius,_=t+this.max_outer_radius,n=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const s=i-this.max_outer_radius,t=i+this.max_outer_radius;[a,_]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_outer_radius,u=e+this.max_outer_radius;[n,o]=this.renderer.yscale.r_invert(r,u)}const h=[];for(const s of this.index.indices({x0:a,x1:_,y0:n,y1:o})){const i=this.souter_radius[s]**2,e=this.sinner_radius[s]**2,[a,n]=this.renderer.xscale.r_compute(t,this._x[s]),[_,u]=this.renderer.yscale.r_compute(r,this._y[s]),o=(a-n)**2+(_-u)**2;o<=i&&o>=e&&h.push([s,o])}return u.Selection.from_hits(h)}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,_=new Array(n);_[a]=(i+t)/2;const u=new Array(n);u[a]=(e+r)/2;const o=.5*Math.min(Math.abs(t-i),Math.abs(r-e)),h=new Array(n);h[a]=.4*o;const d=new Array(n);d[a]=.8*o,this._render(s,[a],{sx:_,sy:u,sinner_radius:h,souter_radius:d})}}e.AnnulusView=o,o.__name__=\"AnnulusView\";class h extends r.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=o,this.mixins([a.LineVector,a.FillVector]),this.define({inner_radius:[n.DistanceSpec],outer_radius:[n.DistanceSpec]})}}e.Annulus=h,h.__name__=\"Annulus\",h.init_Annulus()},\n",
+       "      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(1),r=e(84),n=e(92),a=e(23),_=t.__importStar(e(18));class c extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,i,{sx:s,sy:t,sradius:r,_start_angle:n,_end_angle:a}){if(this.visuals.line.doit){const _=this.model.properties.direction.value();for(const c of i)isNaN(s[c]+t[c]+r[c]+n[c]+a[c])||(e.beginPath(),e.arc(s[c],t[c],r[c],n[c],a[c],_),this.visuals.line.set_vectorize(e,c),e.stroke())}}draw_legend_for_index(e,i,s){n.generic_line_legend(this.visuals,e,i,s)}}s.ArcView=c,c.__name__=\"ArcView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=c,this.mixins(a.LineVector),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.Arc=d,d.__name__=\"Arc\",d.init_Arc()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),n=t(85),c=t(89),o=t(92);function r(t,e,i,s,n,c,o,r){const h=[],_=[[],[]];for(let _=0;_<=2;_++){let a,x,l;if(0===_?(x=6*t-12*i+6*n,a=-3*t+9*i-9*n+3*o,l=3*i-3*t):(x=6*e-12*s+6*c,a=-3*e+9*s-9*c+3*r,l=3*s-3*e),Math.abs(a)<1e-12){if(Math.abs(x)<1e-12)continue;const t=-l/x;0<t&&t<1&&h.push(t);continue}const y=x*x-4*l*a,u=Math.sqrt(y);if(y<0)continue;const d=(-x+u)/(2*a);0<d&&d<1&&h.push(d);const f=(-x-u)/(2*a);0<f&&f<1&&h.push(f)}let a=h.length;const x=a;for(;a--;){const x=h[a],l=1-x,y=l*l*l*t+3*l*l*x*i+3*l*x*x*n+x*x*x*o;_[0][a]=y;const u=l*l*l*e+3*l*l*x*s+3*l*x*x*c+x*x*x*r;_[1][a]=u}return _[0][x]=t,_[1][x]=e,_[0][x+1]=o,_[1][x+1]=r,[Math.min(..._[0]),Math.max(..._[1]),Math.max(..._[0]),Math.min(..._[1])]}class h extends c.GlyphView{_index_data(){const t=[];for(let e=0,i=this._x0.length;e<i;e++){if(isNaN(this._x0[e]+this._x1[e]+this._y0[e]+this._y1[e]+this._cx0[e]+this._cy0[e]+this._cx1[e]+this._cy1[e]))continue;const[i,s,n,c]=r(this._x0[e],this._y0[e],this._x1[e],this._y1[e],this._cx0[e],this._cy0[e],this._cx1[e],this._cy1[e]);t.push({x0:i,y0:s,x1:n,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sx0:i,sy0:s,sx1:n,sy1:c,scx0:o,scy0:r,scx1:h,scy1:_}){if(this.visuals.line.doit)for(const a of e)isNaN(i[a]+s[a]+n[a]+c[a]+o[a]+r[a]+h[a]+_[a])||(t.beginPath(),t.moveTo(i[a],s[a]),t.bezierCurveTo(o[a],r[a],h[a],_[a],n[a],c[a]),this.visuals.line.set_vectorize(t,a),t.stroke())}draw_legend_for_index(t,e,i){o.generic_line_legend(this.visuals,t,e,i)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}i.BezierView=h,h.__name__=\"BezierView\";class _ extends c.Glyph{constructor(t){super(t)}static init_Bezier(){this.prototype.default_view=h,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx0\",\"cy0\"],[\"cx1\",\"cy1\"]]),this.mixins(s.LineVector)}}i.Bezier=_,_.__name__=\"Bezier\",_.init_Bezier()},\n",
+       "      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(93)),h=t.__importStar(s(18)),d=s(9),_=s(12),l=s(79);class c extends r.XYGlyphView{_map_data(){if(null!=this._radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this._radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.max(s,i[e]));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.min(s,i[e]));break}}else this.sradius=this._radius,this.max_size=2*this.max_radius;else this.sradius=_.map(this._size,s=>s/2)}_mask_data(){const[s,i]=this.renderer.plot_view.frame.bbox.ranges;let e,t,r,a;if(null!=this._radius&&\"data\"==this.model.properties.radius.units){const n=s.start,h=s.end;[e,r]=this.renderer.xscale.r_invert(n,h),e-=this.max_radius,r+=this.max_radius;const d=i.start,_=i.end;[t,a]=this.renderer.yscale.r_invert(d,_),t-=this.max_radius,a+=this.max_radius}else{const n=s.start-this.max_size,h=s.end+this.max_size;[e,r]=this.renderer.xscale.r_invert(n,h);const d=i.start-this.max_size,_=i.end+this.max_size;[t,a]=this.renderer.yscale.r_invert(d,_)}return this.index.indices({x0:e,x1:r,y0:t,y1:a})}_render(s,i,{sx:e,sy:t,sradius:r}){for(const a of i)isNaN(e[a]+t[a]+r[a])||(s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,a),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.stroke()))}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,h,d;if(null!=this._radius&&\"data\"==this.model.properties.radius.units)a=t-this.max_radius,n=t+this.max_radius,h=r-this.max_radius,d=r+this.max_radius;else{const s=i-this.max_size,t=i+this.max_size;[a,n]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size,_=e+this.max_size;[h,d]=this.renderer.yscale.r_invert(r,_)}const _=this.index.indices({x0:a,x1:n,y0:h,y1:d}),c=[];if(null!=this._radius&&\"data\"==this.model.properties.radius.units)for(const s of _){const i=this.sradius[s]**2,[e,a]=this.renderer.xscale.r_compute(t,this._x[s]),[n,h]=this.renderer.yscale.r_compute(r,this._y[s]),d=(e-a)**2+(n-h)**2;d<=i&&c.push([s,d])}else for(const s of _){const t=this.sradius[s]**2,r=(this.sx[s]-i)**2+(this.sy[s]-e)**2;r<=t&&c.push([s,r])}return l.Selection.from_hits(c)}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=this.index.indices({x0:r,x1:a,y0:n,y1:h});return new l.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),_=this.index.indices({x0:a,x1:n,y0:h,y1:d});return new l.Selection({indices:_})}_hit_poly(s){const{sx:i,sy:e}=s,t=d.range(0,this.sx.length),r=[];for(let s=0,a=t.length;s<a;s++){const a=t[s];n.point_in_poly(this.sx[s],this.sy[s],i,e)&&r.push(a)}return new l.Selection({indices:r})}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,h=new Array(n);h[a]=(i+t)/2;const d=new Array(n);d[a]=(e+r)/2;const _=new Array(n);_[a]=.2*Math.min(Math.abs(t-i),Math.abs(r-e)),this._render(s,[a],{sx:h,sy:d,sradius:_})}}e.CircleView=c,c.__name__=\"CircleView\";class o extends r.XYGlyph{constructor(s){super(s)}static init_Circle(){this.prototype.default_view=c,this.mixins([a.LineVector,a.FillVector]),this.define({angle:[h.AngleSpec,0],size:[h.DistanceSpec,{units:\"screen\",value:4}],radius:[h.DistanceSpec,void 0,{optional:!0}],radius_dimension:[h.RadiusDimension,\"x\"]})}}e.Circle=o,o.__name__=\"Circle\",o.init_Circle()},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=e(1),i=e(84),l=e(23),s=a.__importStar(e(18));class c extends i.XYGlyphView{}n.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class o extends i.XYGlyph{constructor(e){super(e)}static init_CenterRotatable(){this.mixins([l.LineVector,l.FillVector]),this.define({angle:[s.AngleSpec,0],width:[s.DistanceSpec],height:[s.DistanceSpec]})}}n.CenterRotatable=o,o.__name__=\"CenterRotatable\",o.init_CenterRotatable()},\n",
+       "      function _(e,l,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(216);class t extends s.EllipseOvalView{}i.EllipseView=t,t.__name__=\"EllipseView\";class _ extends s.EllipseOval{constructor(e){super(e)}static init_Ellipse(){this.prototype.default_view=t}}i.Ellipse=_,_.__name__=\"Ellipse\",_.init_Ellipse()},\n",
+       "      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),h=t(214),r=e.__importStar(t(93)),a=t(79);class _ extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"):this.sw=this._width,\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"):this.sh=this._height}_render(t,s,{sx:i,sy:e,sw:h,sh:r,_angle:a}){for(const _ of s)isNaN(i[_]+e[_]+h[_]+r[_]+a[_])||(t.beginPath(),t.ellipse(i[_],e[_],h[_]/2,r[_]/2,a[_],0,2*Math.PI),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,_),t.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,_),t.stroke()))}_hit_point(t){let s,i,e,h,_,n,l,d,o,x;const{sx:m,sy:c}=t,w=this.renderer.xscale.invert(m),p=this.renderer.yscale.invert(c);\"data\"==this.model.properties.width.units?(s=w-this.max_width,i=w+this.max_width):(l=m-this.max_width,d=m+this.max_width,[s,i]=this.renderer.xscale.r_invert(l,d)),\"data\"==this.model.properties.height.units?(e=p-this.max_height,h=p+this.max_height):(o=c-this.max_height,x=c+this.max_height,[e,h]=this.renderer.yscale.r_invert(o,x));const y=this.index.indices({x0:s,x1:i,y0:e,y1:h}),u=[];for(const t of y)_=r.point_in_ellipse(m,c,this._angle[t],this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),_&&([l,d]=this.renderer.xscale.r_compute(w,this._x[t]),[o,x]=this.renderer.yscale.r_compute(p,this._y[t]),n=(l-d)**2+(o-x)**2,u.push([t,n]));return a.Selection.from_hits(u)}draw_legend_for_index(t,{x0:s,y0:i,x1:e,y1:h},r){const a=r+1,_=new Array(a);_[r]=(s+e)/2;const n=new Array(a);n[r]=(i+h)/2;const l=this.sw[r]/this.sh[r],d=.8*Math.min(Math.abs(e-s),Math.abs(h-i)),o=new Array(a),x=new Array(a);l>1?(o[r]=d,x[r]=d/l):(o[r]=d*l,x[r]=d),this._render(t,[r],{sx:_,sy:n,sw:o,sh:x,_angle:[0]})}_bounds({x0:t,x1:s,y0:i,y1:e}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:i-this.max_h2,y1:e+this.max_h2}}}i.EllipseOvalView=_,_.__name__=\"EllipseOvalView\";class n extends h.CenterRotatable{constructor(t){super(t)}}i.EllipseOval=n,n.__name__=\"EllipseOval\"},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class _ extends h.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return this.sy[t]}_index_data(){return this._index_box(this._y.length)}_lrtb(t){return[Math.min(this._left[t],this._right[t]),Math.max(this._left[t],this._right[t]),this._y[t]+.5*this._height[t],this._y[t]-.5*this._height[t]]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new Float64Array(t),this.sbottom=new Float64Array(t);for(let s=0;s<t;s++)this.stop[s]=this.sy[s]-this.sh[s]/2,this.sbottom[s]=this.sy[s]+this.sh[s]/2;this._clamp_viewport()}}e.HBarView=_,_.__name__=\"HBarView\";class a extends h.Box{constructor(t){super(t)}static init_HBar(){this.prototype.default_view=_,this.coords([[\"left\",\"y\"]]),this.define({height:[r.NumberSpec],right:[r.CoordinateSpec]}),this.override({left:0})}}e.HBar=a,a.__name__=\"HBar\",a.init_HBar()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),r=t(85),n=t(89),h=t(92),o=t(79);class a extends n.GlyphView{get_anchor_point(t,e,i){const s=Math.min(this.sleft[e],this.sright[e]),r=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),h=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:s,y:n};case\"top_center\":return{x:(s+r)/2,y:n};case\"top_right\":return{x:r,y:n};case\"bottom_left\":return{x:s,y:h};case\"bottom_center\":return{x:(s+r)/2,y:h};case\"bottom_right\":return{x:r,y:h};case\"center_left\":return{x:s,y:(n+h)/2};case\"center\":return{x:(s+r)/2,y:(n+h)/2};case\"center_right\":return{x:r,y:(n+h)/2};default:return null}}_index_box(t){const e=[];for(let i=0;i<t;i++){const[t,s,r,n]=this._lrtb(i);!isNaN(t+s+r+n)&&isFinite(t+s+r+n)&&e.push({x0:Math.min(t,s),y0:Math.min(r,n),x1:Math.max(s,t),y1:Math.max(r,n),i})}return new r.SpatialIndex(e)}_render(t,e,{sleft:i,sright:s,stop:r,sbottom:n}){for(const h of e)isNaN(i[h]+r[h]+s[h]+n[h])||(t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()),this.visuals.hatch.doit2(t,h,()=>{t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.stroke()))}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,i=this.stop.length;for(let s=0;s<i;s++)this.stop[s]=Math.max(this.stop[s],e.start),this.sbottom[s]=Math.min(this.sbottom[s],e.end),this.sleft[s]=Math.max(this.sleft[s],t.start),this.sright[s]=Math.min(this.sright[s],t.end)}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){const{sx:e,sy:i}=t,s=this.renderer.xscale.invert(e),r=this.renderer.yscale.invert(i),n=this.index.indices({x0:s,y0:r,x1:s,y1:r});return new o.Selection({indices:n})}_hit_span(t){const{sx:e,sy:i}=t;let s;if(\"v\"==t.direction){const t=this.renderer.yscale.invert(i),e=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(e.start,e.end);s=this.index.indices({x0:r,y0:t,x1:n,y1:t})}else{const t=this.renderer.xscale.invert(e),i=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(i.start,i.end);s=this.index.indices({x0:t,y0:r,x1:t,y1:n})}return new o.Selection({indices:s})}draw_legend_for_index(t,e,i){h.generic_area_legend(this.visuals,t,e,i)}}i.BoxView=a,a.__name__=\"BoxView\";class c extends n.Glyph{constructor(t){super(t)}static init_Box(){this.mixins([s.LineVector,s.FillVector,s.HatchVector])}}i.Box=c,c.__name__=\"Box\",c.init_Box()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(89),n=i.__importStar(e(93)),o=i.__importStar(e(18)),a=e(23),l=e(85),h=e(92),c=e(79);class _ extends r.GlyphView{scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}_set_data(){const e=this._q.length,t=this.model.size,s=this.model.aspect_scale;if(this._x=new Float64Array(e),this._y=new Float64Array(e),\"pointytop\"==this.model.orientation)for(let i=0;i<e;i++)this._x[i]=t*Math.sqrt(3)*(this._q[i]+this._r[i]/2)/s,this._y[i]=3*-t/2*this._r[i];else for(let i=0;i<e;i++)this._x[i]=3*t/2*this._q[i],this._y[i]=-t*Math.sqrt(3)*(this._r[i]+this._q[i]/2)*s}_index_data(){let e=this.model.size,t=Math.sqrt(3)*e/2;\"flattop\"==this.model.orientation?([t,e]=[e,t],e*=this.model.aspect_scale):t/=this.model.aspect_scale;const s=[];for(let i=0;i<this._x.length;i++){const r=this._x[i],n=this._y[i];!isNaN(r+n)&&isFinite(r+n)&&s.push({x0:r-t,y0:n-e,x1:r+t,y1:n+e,i})}return new l.SpatialIndex(s)}map_data(){[this.sx,this.sy]=this.map_to_screen(this._x,this._y),[this.svx,this.svy]=this._get_unscaled_vertices()}_get_unscaled_vertices(){const e=this.model.size,t=this.model.aspect_scale;if(\"pointytop\"==this.model.orientation){const s=this.renderer.yscale,i=this.renderer.xscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))/t,o=r/2;return[[0,-n,-n,0,n,n],[r,o,-o,-r,-o,o]]}{const s=this.renderer.xscale,i=this.renderer.yscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))*t,o=r/2;return[[r,o,-o,-r,-o,o],[0,-n,-n,0,n,n]]}}_render(e,t,{sx:s,sy:i,svx:r,svy:n,_scale:o}){for(const a of t)if(!isNaN(s[a]+i[a]+o[a])){e.translate(s[a],i[a]),e.beginPath();for(let t=0;t<6;t++)e.lineTo(r[t]*o[a],n[t]*o[a]);e.closePath(),e.translate(-s[a],-i[a]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,a),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,a),e.stroke())}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s),o=this.index.indices({x0:i,y0:r,x1:i,y1:r}),a=[];for(const e of o)n.point_in_poly(t-this.sx[e],s-this.sy[e],this.svx,this.svy)&&a.push(e);return new c.Selection({indices:a})}_hit_span(e){const{sx:t,sy:s}=e;let i;if(\"v\"==e.direction){const e=this.renderer.yscale.invert(s),t=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(t.start,t.end);i=this.index.indices({x0:r,y0:e,x1:n,y1:e})}else{const e=this.renderer.xscale.invert(t),s=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(s.start,s.end);i=this.index.indices({x0:e,y0:r,x1:e,y1:n})}return new c.Selection({indices:i})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:r}=e,[n,o]=this.renderer.xscale.r_invert(t,s),[a,l]=this.renderer.yscale.r_invert(i,r),h=this.index.indices({x0:n,x1:o,y0:a,y1:l});return new c.Selection({indices:h})}draw_legend_for_index(e,t,s){h.generic_area_legend(this.visuals,e,t,s)}}s.HexTileView=_,_.__name__=\"HexTileView\";class d extends r.Glyph{constructor(e){super(e)}static init_HexTile(){this.prototype.default_view=_,this.coords([[\"r\",\"q\"]]),this.mixins([a.LineVector,a.FillVector]),this.define({size:[o.Number,1],aspect_scale:[o.Number,1],scale:[o.NumberSpec,1],orientation:[o.HexTileOrientation,\"pointytop\"]}),this.override({line_color:null})}}s.HexTile=d,d.__name__=\"HexTile\",d.init_HexTile()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(1),i=e(221),n=e(115),s=_.__importStar(e(18));class r extends i.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,()=>this._update_image())}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.plot_view.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}a.ImageView=r,r.__name__=\"ImageView\";class o extends i.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=r,this.define({color_mapper:[s.Instance,()=>new n.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})}}a.Image=o,o.__name__=\"Image\",o.init_Image()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(84),h=s.__importStar(e(18)),n=e(79),_=e(85),r=e(9),d=e(26);class l extends a.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_render(e,t,{image_data:i,sx:s,sy:a,sw:h,sh:n}){const _=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const _ of t){if(null==i[_]||isNaN(s[_]+a[_]+h[_]+n[_]))continue;const t=a[_];e.translate(0,t),e.scale(1,-1),e.translate(0,-t),e.drawImage(i[_],0|s[_],0|a[_],h[_],n[_]),e.translate(0,t),e.scale(1,-1),e.translate(0,-t)}e.setImageSmoothingEnabled(_)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this._image.length;t<i;t++){if(null!=e&&e.indexOf(t)<0)continue;const i=this._image[t];let s;d.is_NDArray(i)?(s=i,this._height[t]=i.shape[0],this._width[t]=i.shape[1]):(s=r.concat(i),this._height[t]=i.length,this._width[t]=i[0].length);const a=this._flat_img_to_buf8(s);this._set_image_data_from_buffer(t,a)}}_index_data(){const e=[];for(let t=0,i=this._x.length;t<i;t++){const[i,s,a,h]=this._lrtb(t);!isNaN(i+s+a+h)&&isFinite(i+s+a+h)&&e.push({x0:i,y0:h,x1:s,y1:a,i:t})}return new _.SpatialIndex(e)}_lrtb(e){const t=this.renderer.xscale.source_range,i=this._x[e],s=t.is_reversed?i-this._dw[e]:i+this._dw[e],a=this.renderer.yscale.source_range,h=this._y[e],n=a.is_reversed?h-this._dh[e]:h+this._dh[e],[_,r]=i<s?[i,s]:[s,i],[d,l]=h<n?[h,n]:[n,h];return[_,r,l,d]}_set_width_heigh_data(){null!=this.image_data&&this.image_data.length==this._image.length||(this.image_data=new Array(this._image.length)),null!=this._width&&this._width.length==this._image.length||(this._width=new Array(this._image.length)),null!=this._height&&this._height.length==this._image.length||(this._height=new Array(this._image.length))}_get_or_create_canvas(e){const t=this.image_data[e];if(null!=t&&t.width==this._width[e]&&t.height==this._height[e])return t;{const t=document.createElement(\"canvas\");return t.width=this._width[e],t.height=this._height[e],t}}_set_image_data_from_buffer(e,t){const i=this._get_or_create_canvas(e),s=i.getContext(\"2d\"),a=s.getImageData(0,0,this._width[e],this._height[e]);a.data.set(t),s.putImageData(a,0,0),this.image_data[e]=i}_map_data(){switch(this.model.properties.dw.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,this._dw,\"edge\",this.model.dilate);break;case\"screen\":this.sw=this._dw}switch(this.model.properties.dh.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,this._dh,\"edge\",this.model.dilate);break;case\"screen\":this.sh=this._dh}}_image_index(e,t,i){const[s,a,h,n]=this._lrtb(e),_=this._width[e],r=this._height[e],d=(a-s)/_,l=(h-n)/r;let g=Math.floor((t-s)/d),o=Math.floor((i-n)/l);return this.renderer.xscale.source_range.is_reversed&&(g=_-g-1),this.renderer.yscale.source_range.is_reversed&&(o=r-o-1),{index:e,dim1:g,dim2:o,flat_index:o*_+g}}_hit_point(e){const{sx:t,sy:i}=e,s=this.renderer.xscale.invert(t),a=this.renderer.yscale.invert(i),h=this.index.indices({x0:s,x1:s,y0:a,y1:a}),_=new n.Selection;for(const e of h)t!=1/0&&i!=1/0&&_.image_indices.push(this._image_index(e,s,a));return _}}i.ImageBaseView=l,l.__name__=\"ImageBaseView\";class g extends a.XYGlyph{constructor(e){super(e)}static init_ImageBase(){this.define({image:[h.NumberSpec],dw:[h.DistanceSpec],dh:[h.DistanceSpec],dilate:[h.Boolean,!1],global_alpha:[h.Number,1]})}}i.ImageBase=g,g.__name__=\"ImageBase\",g.init_ImageBase()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(221),i=e(8);class n extends _.ImageBaseView{_flat_img_to_buf8(e){let t;return t=i.isArray(e)?new Uint32Array(e):e,new Uint8Array(t.buffer)}}a.ImageRGBAView=n,n.__name__=\"ImageRGBAView\";class r extends _.ImageBase{constructor(e){super(e)}static init_ImageRGBA(){this.prototype.default_view=n}}a.ImageRGBA=r,r.__name__=\"ImageRGBA\",r.init_ImageRGBA()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),a=i.__importStar(e(18)),n=e(12),h=e(85),l=e(224);class _ extends r.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1}initialize(){super.initialize(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_index_data(){return new h.SpatialIndex([])}_set_data(){null!=this.image&&this.image.length==this._url.length||(this.image=n.map(this._url,()=>null));const{retry_attempts:e,retry_timeout:t}=this.model;for(let s=0,i=this._url.length;s<i;s++){const i=this._url[s];null!=i&&\"\"!=i&&new l.ImageLoader(i,{loaded:e=>{this.image[s]=e,this.renderer.request_render()},attempts:e+1,timeout:t})}const s=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,r=this._x.length,a=new Array(s?2*r:r),h=new Array(i?2*r:r);for(let e=0;e<r;e++)a[e]=this._x[e],h[e]=this._y[e];if(s)for(let e=0;e<r;e++)a[r+e]=this._x[e]+this._w[e];if(i)for(let e=0;e<r;e++)h[r+e]=this._y[e]+this._h[e];const _=n.min(a),o=n.max(a),d=n.min(h),c=n.max(h);this._bounds_rect={x0:_,x1:o,y0:d,y1:c}}has_finished(){return super.has_finished()&&1==this._images_rendered}_map_data(){const e=null!=this.model.w?this._w:n.map(this._x,()=>NaN),t=null!=this.model.h?this._h:n.map(this._x,()=>NaN);switch(this.model.properties.w.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,e,\"edge\",this.model.dilate);break;case\"screen\":this.sw=e}switch(this.model.properties.h.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,t,\"edge\",this.model.dilate);break;case\"screen\":this.sh=t}}_render(e,t,{image:s,sx:i,sy:r,sw:a,sh:n,_angle:h}){const{frame:l}=this.renderer.plot_view;e.rect(l._left.value+1,l._top.value+1,l._width.value-2,l._height.value-2),e.clip();let _=!0;for(const l of t){if(isNaN(i[l]+r[l]+h[l]))continue;const t=s[l];null!=t?this._render_image(e,l,t,i,r,a,n,h):_=!1}_&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,i,r){switch(e){case\"top_left\":return[t,s];case\"top_center\":return[t-i/2,s];case\"top_right\":return[t-i,s];case\"center_right\":return[t-i,s-r/2];case\"bottom_right\":return[t-i,s-r];case\"bottom_center\":return[t-i/2,s-r];case\"bottom_left\":return[t,s-r];case\"center_left\":return[t,s-r/2];case\"center\":return[t-i/2,s-r/2]}}_render_image(e,t,s,i,r,a,n,h){isNaN(a[t])&&(a[t]=s.width),isNaN(n[t])&&(n[t]=s.height);const{anchor:l}=this.model,[_,o]=this._final_sx_sy(l,i[t],r[t],a[t],n[t]);e.save(),e.globalAlpha=this.model.global_alpha;const d=a[t]/2,c=n[t]/2;h[t]?(e.translate(_,o),e.translate(d,c),e.rotate(h[t]),e.translate(-d,-c),e.drawImage(s,0,0,a[t],n[t]),e.translate(d,c),e.rotate(-h[t]),e.translate(-d,-c),e.translate(-_,-o)):e.drawImage(s,_,o,a[t],n[t]),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=_,_.__name__=\"ImageURLView\";class o extends r.XYGlyph{constructor(e){super(e)}static init_ImageURL(){this.prototype.default_view=_,this.define({url:[a.StringSpec],anchor:[a.Anchor,\"top_left\"],global_alpha:[a.Number,1],angle:[a.AngleSpec,0],w:[a.DistanceSpec],h:[a.DistanceSpec],dilate:[a.Boolean,!1],retry_attempts:[a.Number,0],retry_timeout:[a.Number,0]})}}s.ImageURL=o,o.__name__=\"ImageURL\",o.init_ImageURL()},\n",
+       "      function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(72);class a{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:a=1}=e;this.promise=new Promise((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const a=`unable to load ${i} image after ${t} attempts`;if(s.logger.warn(a),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());s.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout(()=>this._image.src=i,a)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i})}get finished(){return this._finished}get image(){return this._image}}t.ImageLoader=a,a.__name__=\"ImageLoader\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(85),l=t(23),o=i.__importStar(t(93)),r=t(9),h=t(17),_=t(89),c=t(92),a=t(79);class x extends _.GlyphView{_index_data(){const t=[];for(let e=0,s=this._xs.length;e<s;e++){if(null==this._xs[e]||0===this._xs[e].length)continue;const s=this._xs[e],i=[];for(let t=0,e=s.length;t<e;t++){const e=s[t];isNaN(e)||i.push(e)}const n=this._ys[e],l=[];for(let t=0,e=n.length;t<e;t++){const e=n[t];isNaN(e)||l.push(e)}const[o,h]=[r.min(i),r.max(i)],[_,c]=[r.min(l),r.max(l)];t.push({x0:o,y0:_,x1:h,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sxs:s,sys:i}){for(const n of e){const[e,l]=[s[n],i[n]];this.visuals.line.set_vectorize(t,n);for(let s=0,i=e.length;s<i;s++)0!=s?isNaN(e[s])||isNaN(l[s])?(t.stroke(),t.beginPath()):t.lineTo(e[s],l[s]):(t.beginPath(),t.moveTo(e[s],l[s]));t.stroke()}}_hit_point(t){const e={x:t.sx,y:t.sy};let s=9999;const i=new Map;for(let t=0,n=this.sxs.length;t<n;t++){const n=Math.max(2,this.visuals.line.cache_select(\"line_width\",t)/2);let l=null;for(let i=0,r=this.sxs[t].length-1;i<r;i++){const r={x:this.sxs[t][i],y:this.sys[t][i]},h={x:this.sxs[t][i+1],y:this.sys[t][i+1]},_=o.dist_to_segment(e,r,h);_<n&&_<s&&(s=_,l=[i])}null!=l&&i.set(t,l)}return new a.Selection({indices:[...i.keys()],multiline_indices:h.to_object(i)})}_hit_span(t){const{sx:e,sy:s}=t;let i,n;\"v\"===t.direction?(i=this.renderer.yscale.invert(s),n=this._ys):(i=this.renderer.xscale.invert(e),n=this._xs);const l=new Map;for(let t=0,e=n.length;t<e;t++){const e=[];for(let s=0,l=n[t].length-1;s<l;s++)n[t][s]<=i&&i<=n[t][s+1]&&e.push(s);e.length>0&&l.set(t,e)}return new a.Selection({indices:[...l.keys()],multiline_indices:h.to_object(l)})}get_interpolation_hit(t,e,s){const[i,n,l,o]=[this._xs[t][e],this._ys[t][e],this._xs[t][e+1],this._ys[t][e+1]];return c.line_interpolation(this.renderer,s,i,n,l,o)}draw_legend_for_index(t,e,s){c.generic_line_legend(this.visuals,t,e,s)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}s.MultiLineView=x,x.__name__=\"MultiLineView\";class u extends _.Glyph{constructor(t){super(t)}static init_MultiLine(){this.prototype.default_view=x,this.coords([[\"xs\",\"ys\"]]),this.mixins(l.LineVector)}}s.MultiLine=u,u.__name__=\"MultiLine\",u.init_MultiLine()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(85),r=e(89),o=e(92),l=e(9),h=e(12),_=e(23),a=i.__importStar(e(93)),c=e(79),d=e(8),x=e(11);class y extends r.GlyphView{_index_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++){const i=this._xs[t][s][0],n=this._ys[t][s][0];0!=i.length&&e.push({x0:l.min(i),y0:l.min(n),x1:l.max(i),y1:l.max(n),i:t})}return this.hole_index=this._index_hole_data(),new n.SpatialIndex(e)}_index_hole_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++)if(this._xs[t][s].length>1)for(let i=1,n=this._xs[t][s].length;i<n;i++){const n=this._xs[t][s][i],r=this._ys[t][s][i];0!=n.length&&e.push({x0:l.min(n),y0:l.min(r),x1:l.max(n),y1:l.max(r),i:t})}return new n.SpatialIndex(e)}_mask_data(){const e=this.renderer.plot_view.frame.x_ranges.default,[t,s]=[e.min,e.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:s,y0:n,y1:r}).sort((e,t)=>e-t).filter((e,t,s)=>0===t||e!==s[t-1])}_inner_loop(e,t,s){e.beginPath();for(let i=0,n=t.length;i<n;i++)for(let n=0,r=t[i].length;n<r;n++){const r=t[i][n],o=s[i][n];for(let t=0,s=r.length;t<s;t++)0!=t?e.lineTo(r[t],o[t]):e.moveTo(r[t],o[t]);e.closePath()}}_render(e,t,{sxs:s,sys:i}){if(this.visuals.fill.doit||this.visuals.line.doit)for(const n of t){const[t,r]=[s[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,n),this._inner_loop(e,t,r),e.fill(\"evenodd\")),this.visuals.hatch.doit2(e,n,()=>{this._inner_loop(e,t,r),e.fill(\"evenodd\")},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,n),this._inner_loop(e,t,r),e.stroke())}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],o=[i,i,n,n],[l,h]=this.renderer.xscale.r_invert(t,s),[_,d]=this.renderer.yscale.r_invert(i,n),x=this.index.indices({x0:l,x1:h,y0:_,y1:d}),y=[];for(let e=0,t=x.length;e<t;e++){const t=x[e],s=this.sxs[t],i=this.sys[t];let n=!0;for(let e=0,t=s.length;e<t;e++){for(let t=0,l=s[e][0].length;t<l;t++){const l=s[e][0][t],h=i[e][0][t];if(!a.point_in_poly(l,h,r,o)){n=!1;break}}if(!n)break}n&&y.push(t)}return new c.Selection({indices:y})}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(s),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=this.hole_index.indices({x0:i,y0:n,x1:i,y1:n}),l=[];for(let e=0,i=r.length;e<i;e++){const i=r[e],n=this.sxs[i],h=this.sys[i];for(let e=0,r=n.length;e<r;e++){const r=n[e].length;if(a.point_in_poly(t,s,n[e][0],h[e][0]))if(1==r)l.push(i);else if(-1==o.indexOf(i))l.push(i);else if(r>1){let o=!1;for(let i=1;i<r;i++){const r=n[e][i],l=h[e][i];if(a.point_in_poly(t,s,r,l)){o=!0;break}}o||l.push(i)}}}return new c.Selection({indices:l})}_get_snap_coord(e){return h.sum(e)/e.length}scenterx(e,t,s){if(1==this.sxs[e].length)return this._get_snap_coord(this.sxs[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(i[e][0])}x.unreachable()}scentery(e,t,s){if(1==this.sys[e].length)return this._get_snap_coord(this.sys[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(n[e][0])}x.unreachable()}map_data(){const e=this;for(let[t,s]of this.model._coords){const i=\"s\"+t,n=\"s\"+s;if(t=\"_\"+t,s=\"_\"+s,null!=e[t]&&(d.isArray(e[t][0])||d.isTypedArray(e[t][0]))){const r=e[t].length;e[i]=new Array(r),e[n]=new Array(r);for(let o=0;o<r;o++){const r=e[t][o].length;e[i][o]=new Array(r),e[n][o]=new Array(r);for(let l=0;l<r;l++){const r=e[t][o][l].length;e[i][o][l]=new Array(r),e[n][o][l]=new Array(r);for(let h=0;h<r;h++){const[r,_]=this.map_to_screen(e[t][o][l][h],e[s][o][l][h]);e[i][o][l][h]=r,e[n][o][l][h]=_}}}}}}draw_legend_for_index(e,t,s){o.generic_area_legend(this.visuals,e,t,s)}}s.MultiPolygonsView=y,y.__name__=\"MultiPolygonsView\";class f extends r.Glyph{constructor(e){super(e)}static init_MultiPolygons(){this.prototype.default_view=y,this.coords([[\"xs\",\"ys\"]]),this.mixins([_.LineVector,_.FillVector,_.HatchVector])}}s.MultiPolygons=f,f.__name__=\"MultiPolygons\",f.init_MultiPolygons()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const l=e(216);class s extends l.EllipseOvalView{_map_data(){super._map_data();const{sw:e}=this,t=e.length;for(let a=0;a<t;a++)e[a]*=.75}}a.OvalView=s,s.__name__=\"OvalView\";class _ extends l.EllipseOval{constructor(e){super(e)}static init_Oval(){this.prototype.default_view=s}}a.Oval=_,_.__name__=\"Oval\",_.init_Oval()},\n",
+       "      function _(s,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=s(1),n=s(85),r=s(89),o=s(92),l=s(9),_=s(12),h=s(23),c=i.__importStar(s(93)),a=s(79),d=s(11);class u extends r.GlyphView{_build_discontinuous_object(s){const t=[];for(let e=0,i=s.length;e<i;e++){t[e]=[];let i=l.copy(s[e]);for(;i.length>0;){const s=l.find_last_index(i,s=>isNaN(s));let n;s>=0?n=i.splice(s):(n=i,i=[]);const r=n.filter(s=>!isNaN(s));t[e].push(r)}}return t}_index_data(){const s=this._build_discontinuous_object(this._xs),t=this._build_discontinuous_object(this._ys),e=[];for(let i=0,n=this._xs.length;i<n;i++)for(let n=0,r=s[i].length;n<r;n++){const r=s[i][n],o=t[i][n];0!=r.length&&e.push({x0:l.min(r),y0:l.min(o),x1:l.max(r),y1:l.max(o),i})}return new n.SpatialIndex(e)}_mask_data(){const s=this.renderer.plot_view.frame.x_ranges.default,[t,e]=[s.min,s.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:e,y0:n,y1:r}).sort((s,t)=>s-t)}_inner_loop(s,t,e,i){for(let n=0,r=t.length;n<r;n++)0!=n?isNaN(t[n]+e[n])?(s.closePath(),i.apply(s),s.beginPath()):s.lineTo(t[n],e[n]):(s.beginPath(),s.moveTo(t[n],e[n]));s.closePath(),i.call(s)}_render(s,t,{sxs:e,sys:i}){this.sxss=this._build_discontinuous_object(e),this.syss=this._build_discontinuous_object(i);for(const n of t){const[t,r]=[e[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,n),this._inner_loop(s,t,r,s.fill)),this.visuals.hatch.doit2(s,n,()=>this._inner_loop(s,t,r,s.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),this._inner_loop(s,t,r,s.stroke))}}_hit_rect(s){const{sx0:t,sx1:e,sy0:i,sy1:n}=s,r=[t,e,e,t],o=[i,i,n,n],[l,_]=this.renderer.xscale.r_invert(t,e),[h,d]=this.renderer.yscale.r_invert(i,n),u=this.index.indices({x0:l,x1:_,y0:h,y1:d}),x=[];for(let s=0,t=u.length;s<t;s++){const t=u[s],e=this.sxs[t],i=this.sys[t];let n=!0;for(let s=0,t=e.length;s<t;s++){const t=e[s],l=i[s];if(!c.point_in_poly(t,l,r,o)){n=!1;break}}n&&x.push(t)}return new a.Selection({indices:x})}_hit_point(s){const{sx:t,sy:e}=s,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(e),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=[];for(let s=0,i=r.length;s<i;s++){const i=r[s],n=this.sxss[i],l=this.syss[i];for(let s=0,r=n.length;s<r;s++)c.point_in_poly(t,e,n[s],l[s])&&o.push(i)}return new a.Selection({indices:o})}_get_snap_coord(s){return _.sum(s)/s.length}scenterx(s,t,e){if(1==this.sxss[s].length)return this._get_snap_coord(this.sxs[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(i[s])}d.unreachable()}scentery(s,t,e){if(1==this.syss[s].length)return this._get_snap_coord(this.sys[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(n[s])}d.unreachable()}draw_legend_for_index(s,t,e){o.generic_area_legend(this.visuals,s,t,e)}}e.PatchesView=u,u.__name__=\"PatchesView\";class x extends r.Glyph{constructor(s){super(s)}static init_Patches(){this.prototype.default_view=u,this.coords([[\"xs\",\"ys\"]]),this.mixins([h.LineVector,h.FillVector,h.HatchVector])}}e.Patches=x,x.__name__=\"Patches\",x.init_Patches()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(218);class _ extends i.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._right.length)}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}s.QuadView=_,_.__name__=\"QuadView\";class o extends i.Box{constructor(t){super(t)}static init_Quad(){this.prototype.default_view=_,this.coords([[\"right\",\"bottom\"],[\"left\",\"top\"]])}}s.Quad=o,o.__name__=\"Quad\",o.init_Quad()},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(23),n=t(85),r=t(89),_=t(92);function a(t,i,e){if(i==(t+e)/2)return[t,e];{const s=(t-i)/(t-2*i+e),n=t*(1-s)**2+2*i*(1-s)*s+e*s**2;return[Math.min(t,e,n),Math.max(t,e,n)]}}class c extends r.GlyphView{_index_data(){const t=[];for(let i=0,e=this._x0.length;i<e;i++){if(isNaN(this._x0[i]+this._x1[i]+this._y0[i]+this._y1[i]+this._cx[i]+this._cy[i]))continue;const[e,s]=a(this._x0[i],this._cx[i],this._x1[i]),[n,r]=a(this._y0[i],this._cy[i],this._y1[i]);t.push({x0:e,y0:n,x1:s,y1:r,i})}return new n.SpatialIndex(t)}_render(t,i,{sx0:e,sy0:s,sx1:n,sy1:r,scx:_,scy:a}){if(this.visuals.line.doit)for(const c of i)isNaN(e[c]+s[c]+n[c]+r[c]+_[c]+a[c])||(t.beginPath(),t.moveTo(e[c],s[c]),t.quadraticCurveTo(_[c],a[c],n[c],r[c]),this.visuals.line.set_vectorize(t,c),t.stroke())}draw_legend_for_index(t,i,e){_.generic_line_legend(this.visuals,t,i,e)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}e.QuadraticView=c,c.__name__=\"QuadraticView\";class o extends r.Glyph{constructor(t){super(t)}static init_Quadratic(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx\",\"cy\"]]),this.mixins(s.LineVector)}}e.Quadratic=o,o.__name__=\"Quadratic\",o.init_Quadratic()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),a=e(92),l=e(23),r=s.__importStar(e(18));class _ extends n.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this._length):this.slength=this._length}_render(e,t,{sx:i,sy:s,slength:n,_angle:a}){if(this.visuals.line.doit){const l=2*(this.renderer.plot_view.frame._width.value+this.renderer.plot_view.frame._height.value);for(let e=0,t=n.length;e<t;e++)0==n[e]&&(n[e]=l);for(const l of t)isNaN(i[l]+s[l]+a[l]+n[l])||(e.translate(i[l],s[l]),e.rotate(a[l]),e.beginPath(),e.moveTo(0,0),e.lineTo(n[l],0),this.visuals.line.set_vectorize(e,l),e.stroke(),e.rotate(-a[l]),e.translate(-i[l],-s[l]))}}draw_legend_for_index(e,t,i){a.generic_line_legend(this.visuals,e,t,i)}}i.RayView=_,_.__name__=\"RayView\";class h extends n.XYGlyph{constructor(e){super(e)}static init_Ray(){this.prototype.default_view=_,this.mixins(l.LineVector),this.define({length:[r.DistanceSpec],angle:[r.AngleSpec]})}}i.Ray=h,h.__name__=\"Ray\",h.init_Ray()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(214),a=t(92),r=i.__importStar(t(18)),n=t(12),_=t(79);class l extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this._width,this.renderer.xscale);else{this.sw=this._width;const t=this.sx.length;this.sx0=new Float64Array(t);for(let s=0;s<t;s++)this.sx0[s]=this.sx[s]-this.sw[s]/2}if(\"data\"==this.model.properties.height.units)[this.sh,this.sy1]=this._map_dist_corner_for_data_side_length(this._y,this._height,this.renderer.yscale);else{this.sh=this._height;const t=this.sy.length;this.sy1=new Float64Array(t);for(let s=0;s<t;s++)this.sy1[s]=this.sy[s]-this.sh[s]/2}const t=this.sw.length;this.ssemi_diag=new Float64Array(t);for(let s=0;s<t;s++)this.ssemi_diag[s]=Math.sqrt(this.sw[s]/2*this.sw[s]/2+this.sh[s]/2*this.sh[s]/2)}_render(t,s,{sx:e,sy:i,sx0:h,sy1:a,sw:r,sh:n,_angle:_}){if(this.visuals.fill.doit)for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||(this.visuals.fill.set_vectorize(t,l),_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.fillRect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.fillRect(h[l],a[l],r[l],n[l]));if(this.visuals.line.doit){t.beginPath();for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||0!=r[l]&&0!=n[l]&&(_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.rect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.rect(h[l],a[l],r[l],n[l]),this.visuals.line.set_vectorize(t,l),t.stroke(),t.beginPath());t.stroke()}}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){let{sx:s,sy:e}=t;const i=this.renderer.xscale.invert(s),h=this.renderer.yscale.invert(e),a=[];for(let t=0,s=this.sx0.length;t<s;t++)a.push(this.sx0[t]+this.sw[t]/2);const r=[];for(let t=0,s=this.sy1.length;t<s;t++)r.push(this.sy1[t]+this.sh[t]/2);const l=n.max(this._ddist(0,a,this.ssemi_diag)),o=n.max(this._ddist(1,r,this.ssemi_diag)),d=i-l,c=i+l,x=h-o,y=h+o,f=[];for(const t of this.index.indices({x0:d,x1:c,y0:x,y1:y})){let i,h;if(this._angle[t]){const a=Math.sin(-this._angle[t]),r=Math.cos(-this._angle[t]),n=r*(s-this.sx[t])-a*(e-this.sy[t])+this.sx[t],_=a*(s-this.sx[t])+r*(e-this.sy[t])+this.sy[t];s=n,e=_,h=Math.abs(this.sx[t]-s)<=this.sw[t]/2,i=Math.abs(this.sy[t]-e)<=this.sh[t]/2}else h=s-this.sx0[t]<=this.sw[t]&&s-this.sx0[t]>=0,i=e-this.sy1[t]<=this.sh[t]&&e-this.sy1[t]>=0;i&&h&&f.push(t)}return new _.Selection({indices:f})}_map_dist_corner_for_data_side_length(t,s,e){const i=t.length,h=new Float64Array(i),a=new Float64Array(i);for(let e=0;e<i;e++)h[e]=Number(t[e])-s[e]/2,a[e]=Number(t[e])+s[e]/2;const r=e.v_compute(h),n=e.v_compute(a),_=this.sdist(e,h,s,\"edge\",this.model.dilate);let l=r;for(let t=0,s=r.length;t<s;t++)if(r[t]!=n[t]){l=r[t]<n[t]?r:n;break}return[_,l]}_ddist(t,s,e){const i=0==t?this.renderer.xscale:this.renderer.yscale,h=s,a=h.length,r=new Float64Array(a);for(let t=0;t<a;t++)r[t]=h[t]+e[t];const n=i.v_invert(h),_=i.v_invert(r),l=n.length,o=new Float64Array(l);for(let t=0;t<l;t++)o[t]=Math.abs(_[t]-n[t]);return o}draw_legend_for_index(t,s,e){a.generic_area_legend(this.visuals,t,s,e)}_bounds({x0:t,x1:s,y0:e,y1:i}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:e-this.max_h2,y1:i+this.max_h2}}}e.RectView=l,l.__name__=\"RectView\";class o extends h.CenterRotatable{constructor(t){super(t)}static init_Rect(){this.prototype.default_view=l,this.define({dilate:[r.Boolean,!1]})}}e.Rect=o,o.__name__=\"Rect\",o.init_Rect()},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1).__importStar(e(93)),n=e(23),r=e(85),h=e(89),_=e(92),a=e(79);class c extends h.GlyphView{_index_data(){const e=[];for(let s=0,t=this._x0.length;s<t;s++){const t=this._x0[s],i=this._x1[s],n=this._y0[s],r=this._y1[s];isNaN(t+i+n+r)||e.push({x0:Math.min(t,i),y0:Math.min(n,r),x1:Math.max(t,i),y1:Math.max(n,r),i:s})}return new r.SpatialIndex(e)}_render(e,s,{sx0:t,sy0:i,sx1:n,sy1:r}){if(this.visuals.line.doit)for(const h of s)isNaN(t[h]+i[h]+n[h]+r[h])||(e.beginPath(),e.moveTo(t[h],i[h]),e.lineTo(n[h],r[h]),this.visuals.line.set_vectorize(e,h),e.stroke())}_hit_point(e){const{sx:s,sy:t}=e,n={x:s,y:t},[r,h]=this.renderer.xscale.r_invert(s-2,s+2),[_,c]=this.renderer.yscale.r_invert(t-2,t+2),o=this.index.indices({x0:r,y0:_,x1:h,y1:c}),x=[];for(const e of o){const s=Math.max(2,this.visuals.line.cache_select(\"line_width\",e)/2)**2,t={x:this.sx0[e],y:this.sy0[e]},r={x:this.sx1[e],y:this.sy1[e]};i.dist_to_segment_squared(n,t,r)<s&&x.push(e)}return new a.Selection({indices:x})}_hit_span(e){const[s,t]=this.renderer.plot_view.frame.bbox.ranges,{sx:i,sy:n}=e;let r,h,_;\"v\"==e.direction?(_=this.renderer.yscale.invert(n),[r,h]=[this._y0,this._y1]):(_=this.renderer.xscale.invert(i),[r,h]=[this._x0,this._x1]);const c=[],[o,x]=this.renderer.xscale.r_invert(s.start,s.end),[l,d]=this.renderer.yscale.r_invert(t.start,t.end),y=this.index.indices({x0:o,y0:l,x1:x,y1:d});for(const s of y){(r[s]<=_&&_<=h[s]||h[s]<=_&&_<=r[s])&&c.push(s);const t=1.5+this.visuals.line.cache_select(\"line_width\",s)/2;r[s]==h[s]&&(\"h\"==e.direction?Math.abs(this.sx0[s]-i)<=t&&c.push(s):Math.abs(this.sy0[s]-n)<=t&&c.push(s))}return new a.Selection({indices:c})}scenterx(e){return(this.sx0[e]+this.sx1[e])/2}scentery(e){return(this.sy0[e]+this.sy1[e])/2}draw_legend_for_index(e,s,t){_.generic_line_legend(this.visuals,e,s,t)}}t.SegmentView=c,c.__name__=\"SegmentView\";class o extends h.Glyph{constructor(e){super(e)}static init_Segment(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"]]),this.mixins(n.LineVector)}}t.Segment=o,o.__name__=\"Segment\",o.init_Segment()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(84),o=e(92),r=e(23),l=n.__importStar(e(18));class a extends s.XYGlyphView{_render(e,t,{sx:i,sy:n}){let s=!1,o=null;this.visuals.line.set_value(e);const r=t.length;if(!(r<2)){e.beginPath(),e.moveTo(i[0],n[0]);for(const r of t){let t,l,a,_;switch(this.model.mode){case\"before\":[t,a]=[i[r-1],n[r]],[l,_]=[i[r],n[r]];break;case\"after\":[t,a]=[i[r],n[r-1]],[l,_]=[i[r],n[r]];break;case\"center\":{const e=(i[r-1]+i[r])/2;[t,a]=[e,n[r-1]],[l,_]=[e,n[r]];break}default:throw new Error(\"unexpected\")}if(s){if(!isFinite(i[r]+n[r])){e.stroke(),e.beginPath(),s=!1,o=r;continue}null!=o&&r-o>1&&(e.stroke(),s=!1)}s?(e.lineTo(t,a),e.lineTo(l,_)):(e.beginPath(),e.moveTo(i[r],n[r]),s=!0),o=r}e.lineTo(i[r-1],n[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}}i.StepView=a,a.__name__=\"StepView\";class _ extends s.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=a,this.mixins(r.LineVector),this.define({mode:[l.StepMode,\"before\"]})}}i.Step=_,_.__name__=\"Step\",_.init_Step()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(84),_=t(23),o=i.__importStar(t(93)),h=i.__importStar(t(18)),r=t(132),l=t(11),a=t(79);class c extends n.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,{sx:s,sy:i,_x_offset:n,_y_offset:_,_angle:o,_text:h}){this._sys=[],this._sxs=[];for(const l of e)if(this._sxs[l]=[],this._sys[l]=[],!isNaN(s[l]+i[l]+n[l]+_[l]+o[l])&&null!=h[l]&&this.visuals.text.doit){const e=\"\"+h[l];t.save(),t.translate(s[l]+n[l],i[l]+_[l]),t.rotate(o[l]),this.visuals.text.set_vectorize(t,l);const a=this.visuals.text.cache_select(\"font\",l),{height:c}=r.measure_font(a),x=this.visuals.text.text_line_height.value()*c;if(-1==e.indexOf(\"\\n\")){t.fillText(e,0,0);const o=s[l]+n[l],h=i[l]+_[l],r=t.measureText(e).width,[a,c]=this._text_bounds(o,h,r,x);this._sxs[l].push(a),this._sys[l].push(c)}else{const o=e.split(\"\\n\"),h=x*o.length,r=this.visuals.text.cache_select(\"text_baseline\",l);let a;switch(r){case\"top\":a=0;break;case\"middle\":a=-h/2+x/2;break;case\"bottom\":a=-h+x;break;default:a=0,console.warn(`'${r}' baseline not supported with multi line text`)}for(const e of o){t.fillText(e,0,a);const o=s[l]+n[l],h=a+i[l]+_[l],r=t.measureText(e).width,[c,u]=this._text_bounds(o,h,r,x);this._sxs[l].push(c),this._sys[l].push(u),a+=x}}t.restore()}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t<this._sxs.length;t++){const n=this._sxs[t],_=this._sys[t],h=n.length;for(let r=0,l=h;r<l;r++){const[l,a]=this._rotate_point(e,s,n[h-1][0],_[h-1][0],-this._angle[t]);o.point_in_poly(l,a,n[r],_[r])&&i.push(t)}}return new a.Selection({indices:i})}_scenterxy(t){const e=this._sxs[t],s=this._sys[t];l.assert(0!=e.length&&0!=s.length);const i=e[0][0],n=s[0][0],_=(e[0][2]+i)/2,o=(s[0][2]+n)/2,[h,r]=this._rotate_point(_,o,i,n,this._angle[t]);return{x:h,y:r}}scenterx(t){return this._scenterxy(t).x}scentery(t){return this._scenterxy(t).y}}s.TextView=c,c.__name__=\"TextView\";class x extends n.XYGlyph{constructor(t){super(t)}static init_Text(){this.prototype.default_view=c,this.mixins(_.TextVector),this.define({text:[h.NullStringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,0],y_offset:[h.NumberSpec,0]})}}s.Text=x,x.__name__=\"Text\",x.init_Text()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class o extends h.BoxView{scenterx(t){return this.sx[t]}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._x.length)}_lrtb(t){return[this._x[t]-this._width[t]/2,this._x[t]+this._width[t]/2,Math.max(this._top[t],this._bottom[t]),Math.min(this._top[t],this._bottom[t])]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new Float64Array(t),this.sright=new Float64Array(t);for(let s=0;s<t;s++)this.sleft[s]=this.sx[s]-this.sw[s]/2,this.sright[s]=this.sx[s]+this.sw[s]/2;this._clamp_viewport()}}e.VBarView=o,o.__name__=\"VBarView\";class _ extends h.Box{constructor(t){super(t)}static init_VBar(){this.prototype.default_view=o,this.coords([[\"x\",\"bottom\"]]),this.define({width:[r.NumberSpec],top:[r.CoordinateSpec]}),this.override({bottom:0})}}e.VBar=_,_.__name__=\"VBar\",_.init_VBar()},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),d=e(10),o=e(79);class l extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,s,{sx:t,sy:i,sradius:r,_start_angle:n,_end_angle:a}){const _=this.model.properties.direction.value();for(const d of s)isNaN(t[d]+i[d]+r[d]+n[d]+a[d])||(e.beginPath(),e.arc(t[d],i[d],r[d],n[d],a[d],_),e.lineTo(t[d],i[d]),e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,d),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,d),e.stroke()))}_hit_point(e){let s,t,i,r,n,a,_,l,c;const{sx:h,sy:u}=e,p=this.renderer.xscale.invert(h),x=this.renderer.yscale.invert(u),g=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=p-g,_=p+g,l=x-g,c=x+g):(t=h-g,i=h+g,[a,_]=this.renderer.xscale.r_invert(t,i),r=u-g,n=u+g,[l,c]=this.renderer.yscale.r_invert(r,n));const y=[];for(const e of this.index.indices({x0:a,x1:_,y0:l,y1:c})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(p,this._x[e]),[r,n]=this.renderer.yscale.r_compute(x,this._y[e]),s=(t-i)**2+(r-n)**2,s<=a&&y.push([e,s])}const f=this.model.properties.direction.value(),v=[];for(const[e,s]of y){const t=Math.atan2(u-this.sy[e],h-this.sx[e]);d.angle_between(-t,-this._start_angle[e],-this._end_angle[e],f)&&v.push([e,s])}return o.Selection.from_hits(v)}draw_legend_for_index(e,s,t){n.generic_area_legend(this.visuals,e,s,t)}_scenterxy(e){const s=this.sradius[e]/2,t=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+s*Math.cos(t),y:this.sy[e]+s*Math.sin(t)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}t.WedgeView=l,l.__name__=\"WedgeView\";class c extends r.XYGlyph{constructor(e){super(e)}static init_Wedge(){this.prototype.default_view=l,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}t.Wedge=c,c.__name__=\"Wedge\",c.init_Wedge()},\n",
+       "      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const r=e(1);r.__exportStar(e(101),_),r.__exportStar(e(239),_),r.__exportStar(e(240),_)},\n",
+       "      function _(e,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=e(71);class n extends t.Model{constructor(e){super(e)}}r.LayoutProvider=n,n.__name__=\"LayoutProvider\"},\n",
+       "      function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(1),r=t(239),s=o.__importStar(t(18));class n extends r.LayoutProvider{constructor(t){super(t)}static init_StaticLayoutProvider(){this.define({graph_layout:[s.Any,{}]})}get_node_coordinates(t){const a=[],e=[],o=t.data.index;for(let t=0,r=o.length;t<r;t++){const r=this.graph_layout[o[t]],[s,n]=null!=r?r:[NaN,NaN];a.push(s),e.push(n)}return[a,e]}get_edge_coordinates(t){const a=[],e=[],o=t.data.start,r=t.data.end,s=null!=t.data.xs&&null!=t.data.ys;for(let n=0,u=o.length;n<u;n++){const u=null!=this.graph_layout[o[n]]&&null!=this.graph_layout[r[n]];if(s&&u)a.push(t.data.xs[n]),e.push(t.data.ys[n]);else{let t,s;[s,t]=u?[this.graph_layout[o[n]],this.graph_layout[r[n]]]:[[NaN,NaN],[NaN,NaN]],a.push([s[0],t[0]]),e.push([s[1],t[1]])}}return[a,e]}}e.StaticLayoutProvider=n,n.__name__=\"StaticLayoutProvider\",n.init_StaticLayoutProvider()},\n",
+       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var i=e(242);d.Grid=i.Grid},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),s=e(151),r=n.__importStar(e(23)),_=n.__importStar(e(18)),o=e(8);class a extends s.GuideRendererView{render(){if(!this.model.visible)return;const e=this.layer.ctx;e.save(),this._draw_regions(e),this._draw_minor_grids(e),this._draw_grids(e),e.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render())}_draw_regions(e){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;this.visuals.band_fill.set_value(e);const[i,t]=this.grid_coords(\"major\",!1);for(let n=0;n<i.length-1;n++){if(n%2!=1)continue;const[s,r]=this.plot_view.map_to_screen(i[n],t[n],this.model.x_range_name,this.model.y_range_name),[_,o]=this.plot_view.map_to_screen(i[n+1],t[n+1],this.model.x_range_name,this.model.y_range_name);this.visuals.band_fill.doit&&e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0]),this.visuals.band_hatch.doit2(e,n,()=>{e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0])},()=>this.request_render())}}_draw_grids(e){if(!this.visuals.grid_line.doit)return;const[i,t]=this.grid_coords(\"major\");this._draw_grid_helper(e,this.visuals.grid_line,i,t)}_draw_minor_grids(e){if(!this.visuals.minor_grid_line.doit)return;const[i,t]=this.grid_coords(\"minor\");this._draw_grid_helper(e,this.visuals.minor_grid_line,i,t)}_draw_grid_helper(e,i,t,n){i.set_value(e);for(let i=0;i<t.length;i++){const[s,r]=this.plot_view.map_to_screen(t[i],n[i],this.model.x_range_name,this.model.y_range_name);e.beginPath(),e.moveTo(Math.round(s[0]),Math.round(r[0]));for(let i=1;i<s.length;i++)e.lineTo(Math.round(s[i]),Math.round(r[i]));e.stroke()}}ranges(){const e=this.model.dimension,i=(e+1)%2,t=this.plot_view.frame,n=[t.x_ranges[this.model.x_range_name],t.y_ranges[this.model.y_range_name]];return[n[e],n[i]]}computed_bounds(){const[e]=this.ranges(),i=this.model.bounds,t=[e.min,e.max];let n,s;if(o.isArray(i))n=Math.min(i[0],i[1]),s=Math.max(i[0],i[1]),n<t[0]&&(n=t[0]),s>t[1]&&(s=t[1]);else{[n,s]=t;for(const e of this.plot_view.axis_views)e.dimension==this.model.dimension&&e.model.x_range_name==this.model.x_range_name&&e.model.y_range_name==this.model.y_range_name&&([n,s]=e.computed_bounds)}return[n,s]}grid_coords(e,i=!0){const t=this.model.dimension,n=(t+1)%2,[s,r]=this.ranges();let[_,o]=this.computed_bounds();[_,o]=[Math.min(_,o),Math.max(_,o)];const a=[[],[]],d=this.model.get_ticker();if(null==d)return a;const l=d.get_ticks(_,o,s,r.min,{})[e],h=s.min,m=s.max,c=r.min,u=r.max;i||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=m&&l.push(m));for(let e=0;e<l.length;e++){if((l[e]==h||l[e]==m)&&i)continue;const s=[],r=[],_=2;for(let i=0;i<_;i++){const t=c+(u-c)/(_-1)*i;s.push(l[e]),r.push(t)}a[t].push(s),a[n].push(r)}return a}}t.GridView=a,a.__name__=\"GridView\";class d extends s.GuideRenderer{constructor(e){super(e)}static init_Grid(){this.prototype.default_view=a,this.mixins([[\"grid_\",r.Line],[\"minor_grid_\",r.Line],[\"band_\",r.Fill],[\"band_\",r.Hatch]]),this.define({bounds:[_.Any,\"auto\"],dimension:[_.Any,0],axis:[_.Instance],ticker:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}t.Grid=d,d.__name__=\"Grid\",d.init_Grid()},\n",
+       "      function _(a,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});var e=a(244);r.Box=e.Box;var v=a(247);r.Column=v.Column;var x=a(248);r.GridBox=x.GridBox;var B=a(249);r.HTMLBox=B.HTMLBox;var n=a(245);r.LayoutDOM=n.LayoutDOM;var t=a(250);r.Row=t.Row;var u=a(251);r.Spacer=u.Spacer;var d=a(252);r.Panel=d.Panel,r.Tabs=d.Tabs;var i=a(259);r.WidgetBox=i.WidgetBox},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(245),o=n.__importStar(e(18));class c extends s.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends s.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define({children:[o.Array,[]],spacing:[o.Number,0]})}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(71),l=t(68),n=t(72),h=t(8),a=s.__importStar(t(18)),_=t(99),r=t(66),d=t(246);class u extends r.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval(()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))},250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],()=>this.invalidate_layout()),this.on_change([t.background,t.css_classes],()=>this.invalidate_render())}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map(t=>this._child_views.get(t))}async build_child_views(){await _.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),l.empty(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?t:\"\",l.classes(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_root?this.layout.sizing.margin:void 0;l.position(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build()}build(){return this.assert_root(),this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),n.logger.debug(`layout computed in ${Date.now()-t} ms`),this.notify_finished()}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:a,height:_}=this.model;null!=a&&(o.width=a),null!=_&&(o.height=_);const{max_width:r,max_height:d}=this.model;null!=r&&(o.max_width=r),null!=d&&(o.max_height=d),\"auto\"==e&&null!=a&&null!=_?o.aspect=a/_:h.isNumber(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if(h.isNumber(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:c}=this.model;return h.isArray(c)?[o.halign,o.valign]=c:o.halign=o.valign=c,o}_viewport_size(){return l.undisplayed(this.el,()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(d.bk_root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=l.extents(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=l.extents(t),{width:n,height:h}=t.getBoundingClientRect(),a=Math.ceil(n-i-e),_=Math.ceil(h-s-o);if(a>0||_>0)return{width:a>0?a:void 0,height:_>0?_:void 0}}return{}})}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map(t=>t.serializable_state())})}}e.LayoutDOMView=u,u.__name__=\"LayoutDOMView\";class c extends o.Model{constructor(t){super(t)}static init_LayoutDOM(){this.define({width:[a.Number,null],height:[a.Number,null],min_width:[a.Number,null],min_height:[a.Number,null],max_width:[a.Number,null],max_height:[a.Number,null],margin:[a.Any,[0,0,0,0]],width_policy:[a.Any,\"auto\"],height_policy:[a.Any,\"auto\"],aspect_ratio:[a.Any,null],sizing_mode:[a.SizingMode,null],visible:[a.Boolean,!0],disabled:[a.Boolean,!1],align:[a.Any,\"start\"],background:[a.Color,null],css_classes:[a.Array,[]]})}}e.LayoutDOM=c,c.__name__=\"LayoutDOM\",c.init_LayoutDOM()},\n",
+       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_root=\"bk-root\"},\n",
+       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),n=t(192),l=s.__importStar(t(18));class u extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new n.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class _ extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define({rows:[l.Any,\"auto\"]})}}i.Column=_,_.__name__=\"Column\",_.init_Column()},\n",
+       "      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1),e=t(245),n=t(192),l=o.__importStar(t(18));class r extends e.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children.map(([t])=>t)}_update_layout(){this.layout=new n.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,i,s,o,e]of this.model.children){const n=this._child_views.get(t);this.layout.items.push({layout:n.layout,row:i,col:s,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}s.GridBoxView=r,r.__name__=\"GridBoxView\";class a extends e.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=r,this.define({children:[l.Array,[]],rows:[l.Any,\"auto\"],cols:[l.Any,\"auto\"],spacing:[l.Any,0]})}}s.GridBox=a,a.__name__=\"GridBox\",a.init_GridBox()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(245),_=e(188);class n extends s.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new _.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=n,n.__name__=\"HTMLBoxView\";class i extends s.LayoutDOM{constructor(e){super(e)}}o.HTMLBox=i,i.__name__=\"HTMLBox\"},\n",
+       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),_=t(192),a=s.__importStar(t(18));class n extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new _.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=n,n.__name__=\"RowView\";class l extends e.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=n,this.define({cols:[a.Any,\"auto\"]})}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(245),s=e(188);class _ extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new s.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=_,_.__name__=\"SpacerView\";class o extends i.LayoutDOM{constructor(e){super(e)}static init_Spacer(){this.prototype.default_view=_}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(188),l=e(68),h=e(9),o=i.__importStar(e(18)),c=e(245),d=e(71),r=e(146),n=e(253),_=e(254),b=e(255),p=i.__importDefault(e(256)),u=i.__importDefault(e(257)),m=i.__importDefault(e(258));class v extends c.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,()=>this.rebuild()),this.connect(this.model.properties.active.change,()=>this.on_active_change())}styles(){return[...super.styles(),p.default,u.default,m.default]}get child_models(){return this.model.tabs.map(e=>e.child)}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const a=l.size(s),o=l.children(i).slice(0,3).map(e=>l.size(e)),{width:c,height:d}=super._measure(e);if(t){const t=a.width+h.sum(o.map(e=>e.width));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+h.sum(o.map(e=>e.height));return{width:c,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let o=1,c=1;switch(e){case\"above\":o-=1;break;case\"below\":o+=1;break;case\"left\":c-=1;break;case\"right\":c+=1}const d={layout:this.header,row:o,col:c},r=this.child_views.map(e=>({layout:e.layout,row:1,col:1}));this.layout=new a.Grid([d,...r]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",l.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=l.size(this.scroll_el),i=l.scroll_size(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",l.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",l.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)l.hide(e.el);const h=a[this.model.active];null!=h&&l.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map((t,s)=>{const i=l.div({class:[n.bk_tab,s==e?r.bk_active:null]},t.title);if(i.addEventListener(\"click\",e=>{e.target==e.currentTarget&&this.change_active(s)}),t.closable){const e=l.div({class:n.bk_close});e.addEventListener(\"click\",e=>{if(e.target==e.currentTarget){this.model.tabs=h.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}}),i.appendChild(e)}return i});this.headers_el=l.div({class:[n.bk_headers]},i),this.wrapper_el=l.div({class:n.bk_headers_wrapper},this.headers_el);const a=l.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},l.div({class:[b.bk_caret,r.bk_left]})),o=l.div({class:[_.bk_btn,_.bk_btn_default]},l.div({class:[b.bk_caret,r.bk_right]}));let c=0;const d=e=>()=>{const t=this.model.tabs.length;c=\"left\"==e?Math.max(c-1,0):Math.min(c+1,t-1),0==c?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),c==t-1?o.setAttribute(\"disabled\",\"\"):o.removeAttribute(\"disabled\");const i=l.children(this.headers_el).slice(0,c).map(e=>e.getBoundingClientRect());if(s){const e=-h.sum(i.map(e=>e.width));this.headers_el.style.left=e+\"px\"}else{const e=-h.sum(i.map(e=>e.height));this.headers_el.style.top=e+\"px\"}};a.addEventListener(\"click\",d(\"left\")),o.addEventListener(\"click\",d(\"right\")),this.scroll_el=l.div({class:_.bk_btn_group},a,o),this.header_el=l.div({class:[n.bk_tabs_header,r.bk_side(t)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=l.children(this.headers_el);for(const e of t)e.classList.remove(r.bk_active);t[e].classList.add(r.bk_active);const{child_views:s}=this;for(const e of s)l.hide(e.el);l.show(s[e].el)}}s.TabsView=v,v.__name__=\"TabsView\";class g extends c.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=v,this.define({tabs:[o.Array,[]],tabs_location:[o.Location,\"above\"],active:[o.Number,0]})}}s.Tabs=g,g.__name__=\"Tabs\",g.init_Tabs();class w extends d.Model{constructor(e){super(e)}static init_Panel(){this.define({title:[o.String,\"\"],child:[o.Instance],closable:[o.Boolean,!1]})}}s.Panel=w,w.__name__=\"Panel\",w.init_Panel()},\n",
+       "      function _(e,b,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.bk_tabs_header=\"bk-tabs-header\",a.bk_headers_wrapper=\"bk-headers-wrapper\",a.bk_headers=\"bk-headers\",a.bk_tab=\"bk-tab\",a.bk_close=\"bk-close\"},\n",
+       "      function _(n,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_btn=\"bk-btn\",t.bk_btn_group=\"bk-btn-group\",t.bk_btn_default=\"bk-btn-default\",t.bk_btn_primary=\"bk-btn-primary\",t.bk_btn_success=\"bk-btn-success\",t.bk_btn_warning=\"bk-btn-warning\",t.bk_btn_danger=\"bk-btn-danger\",t.bk_btn_type=function(n){switch(n){case\"default\":return t.bk_btn_default;case\"primary\":return t.bk_btn_primary;case\"success\":return t.bk_btn_success;case\"warning\":return t.bk_btn_warning;case\"danger\":return t.bk_btn_danger}},t.bk_dropdown_toggle=\"bk-dropdown-toggle\"},\n",
+       "      function _(e,b,d){Object.defineProperty(d,\"__esModule\",{value:!0}),d.bk_menu=\"bk-menu\",d.bk_caret=\"bk-caret\",d.bk_divider=\"bk-divider\"},\n",
+       "      function _(n,o,b){Object.defineProperty(b,\"__esModule\",{value:!0});b.default=\"\\n.bk-root .bk-btn {\\n  height: 100%;\\n  display: inline-block;\\n  text-align: center;\\n  vertical-align: middle;\\n  white-space: nowrap;\\n  cursor: pointer;\\n  padding: 6px 12px;\\n  font-size: 12px;\\n  border: 1px solid transparent;\\n  border-radius: 4px;\\n  outline: 0;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-btn:hover,\\n.bk-root .bk-btn:focus {\\n  text-decoration: none;\\n}\\n.bk-root .bk-btn:active,\\n.bk-root .bk-btn.bk-active {\\n  background-image: none;\\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\\n}\\n.bk-root .bk-btn[disabled] {\\n  cursor: not-allowed;\\n  pointer-events: none;\\n  opacity: 0.65;\\n  box-shadow: none;\\n}\\n.bk-root .bk-btn-default {\\n  color: #333;\\n  background-color: #fff;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n  background-color: #f5f5f5;\\n  border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n  background-color: #ebebeb;\\n  border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n  background-color: #e6e6e6;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n  color: #fff;\\n  background-color: #428bca;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n  background-color: #3681c1;\\n  border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n  background-color: #3276b1;\\n  border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n  background-color: #506f89;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n  color: #fff;\\n  background-color: #5cb85c;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n  background-color: #4eb24e;\\n  border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n  background-color: #47a447;\\n  border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n  background-color: #667b66;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n  color: #fff;\\n  background-color: #f0ad4e;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n  background-color: #eea43b;\\n  border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n  background-color: #ed9c28;\\n  border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n  background-color: #c89143;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n  color: #fff;\\n  background-color: #d9534f;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n  background-color: #d5433e;\\n  border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n  background-color: #d2322d;\\n  border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n  background-color: #a55350;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n  height: 100%;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n  margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n  border-bottom-right-radius: 0;\\n  border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n  border-bottom-left-radius: 0;\\n  border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n  border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n  flex: 0 0 0;\\n  -webkit-flex: 0 0 0;\\n  padding: 6px 6px;\\n}\\n\"},\n",
+       "      function _(n,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});r.default=\"\\n.bk-root .bk-menu-icon {\\n  width: 28px;\\n  height: 28px;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-context-menu {\\n  position: absolute;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n  width: auto;\\n  height: auto;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-context-menu.bk-horizontal {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-context-menu.bk-vertical {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-context-menu > .bk-divider {\\n  cursor: default;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > .bk-divider {\\n  width: 1px;\\n  margin: 5px 0;\\n}\\n.bk-root .bk-context-menu.bk-vertical > .bk-divider {\\n  height: 1px;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider) {\\n  border: 1px solid transparent;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider).bk-active {\\n  border-color: #26aae1;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider):hover {\\n  background-color: #f9f9f9;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-bottom-left-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child {\\n  border-top-right-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-top-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child {\\n  border-bottom-left-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-menu {\\n  position: absolute;\\n  left: 0;\\n  width: 100%;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n  bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n  top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n  height: 1px;\\n  margin: 7.5px 0;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n  padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n  background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n  display: inline-block;\\n  vertical-align: middle;\\n  width: 0;\\n  height: 0;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-caret.bk-down {\\n  border-top: 4px solid;\\n}\\n.bk-root .bk-caret.bk-up {\\n  border-bottom: 4px solid;\\n}\\n.bk-root .bk-caret.bk-down,\\n.bk-root .bk-caret.bk-up {\\n  border-right: 4px solid transparent;\\n  border-left: 4px solid transparent;\\n}\\n.bk-root .bk-caret.bk-left {\\n  border-right: 4px solid;\\n}\\n.bk-root .bk-caret.bk-right {\\n  border-left: 4px solid;\\n}\\n.bk-root .bk-caret.bk-left,\\n.bk-root .bk-caret.bk-right {\\n  border-top: 4px solid transparent;\\n  border-bottom: 4px solid transparent;\\n}\\n\"},\n",
+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default='\\n.bk-root .bk-tabs-header {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  overflow: hidden;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group {\\n  height: auto;\\n  margin-right: 5px;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group > .bk-btn {\\n  flex-grow: 0;\\n  -webkit-flex-grow: 0;\\n  height: auto;\\n  padding: 4px 4px;\\n}\\n.bk-root .bk-tabs-header .bk-headers-wrapper {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  overflow: hidden;\\n  color: #666666;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper {\\n  border-bottom: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper {\\n  border-left: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper {\\n  border-top: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper {\\n  border-right: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-above,\\n.bk-root .bk-tabs-header.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers,\\n.bk-root .bk-tabs-header.bk-below .bk-headers {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-left,\\n.bk-root .bk-tabs-header.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers,\\n.bk-root .bk-tabs-header.bk-right .bk-headers {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header .bk-headers {\\n  position: relative;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n}\\n.bk-root .bk-tabs-header .bk-tab {\\n  padding: 4px 8px;\\n  border: solid transparent;\\n  white-space: nowrap;\\n  cursor: pointer;\\n}\\n.bk-root .bk-tabs-header .bk-tab:hover {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .bk-tabs-header .bk-tab.bk-active {\\n  color: #4d4d4d;\\n  background-color: white;\\n  border-color: #e6e6e6;\\n}\\n.bk-root .bk-tabs-header .bk-tab .bk-close {\\n  margin-left: 10px;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-tab {\\n  border-width: 3px 1px 0px 1px;\\n  border-radius: 4px 4px 0 0;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-tab {\\n  border-width: 1px 3px 1px 0px;\\n  border-radius: 0 4px 4px 0;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-tab {\\n  border-width: 0px 1px 3px 1px;\\n  border-radius: 0 0 4px 4px;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-tab {\\n  border-width: 1px 0px 1px 3px;\\n  border-radius: 4px 0 0 4px;\\n}\\n.bk-root .bk-close {\\n  display: inline-block;\\n  width: 10px;\\n  height: 10px;\\n  vertical-align: middle;\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"gray\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"gray\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n.bk-root .bk-close:hover {\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"red\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"red\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n'},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(247);class _ extends o.ColumnView{}i.WidgetBoxView=_,_.__name__=\"WidgetBoxView\";class n extends o.Column{constructor(e){super(e)}static init_WidgetBox(){this.prototype.default_view=_}}i.WidgetBox=n,n.__name__=\"WidgetBox\",n.init_WidgetBox()},\n",
+       "      function _(r,a,o){Object.defineProperty(o,\"__esModule\",{value:!0});var e=r(261);o.CategoricalColorMapper=e.CategoricalColorMapper;var p=r(263);o.CategoricalMarkerMapper=p.CategoricalMarkerMapper;var l=r(264);o.CategoricalPatternMapper=l.CategoricalPatternMapper;var C=r(116);o.ContinuousColorMapper=C.ContinuousColorMapper;var M=r(117);o.ColorMapper=M.ColorMapper;var t=r(115);o.LinearColorMapper=t.LinearColorMapper;var i=r(265);o.LogColorMapper=i.LogColorMapper},\n",
+       "      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),a=r(262),c=r(117),i=o.__importStar(r(18));class s extends c.ColorMapper{constructor(r){super(r)}static init_CategoricalColorMapper(){this.define({factors:[i.Array],start:[i.Number,0],end:[i.Number]})}_v_compute(r,t,e,{nan_color:o}){a.cat_v_compute(r,this.factors,e,t,this.start,this.end,o)}}e.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(12),i=e(8);function u(e,n){if(e.length!=n.length)return!1;for(let t=0,l=e.length;t<l;t++)if(e[t]!==n[t])return!1;return!0}t._cat_equals=u,t.cat_v_compute=function(e,n,t,c,f,o,r){for(let _=0,g=e.length;_<g;_++){let g,s,d=e[_];i.isString(d)?g=l.index_of(n,d):(null!=f?d=null!=o?d.slice(f,o):d.slice(f):null!=o&&(d=d.slice(0,o)),g=1==d.length?l.index_of(n,d[0]):l.find_index(n,e=>u(e,d))),s=g<0||g>=t.length?r:t[g],c[_]=s}}},\n",
+       "      function _(r,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const t=r(1),s=r(262),i=r(118),c=t.__importStar(r(18));class n extends i.Mapper{constructor(r){super(r)}static init_CategoricalMarkerMapper(){this.define({factors:[c.Array],markers:[c.Array],start:[c.Number,0],end:[c.Number],default_value:[c.MarkerType,\"circle\"]})}v_compute(r){const e=new Array(r.length);return s.cat_v_compute(r,this.factors,this.markers,e,this.start,this.end,this.default_value),e}}a.CategoricalMarkerMapper=n,n.__name__=\"CategoricalMarkerMapper\",n.init_CategoricalMarkerMapper()},\n",
+       "      function _(t,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=t(1),n=t(262),s=t(118),i=r.__importStar(t(18));class c extends s.Mapper{constructor(t){super(t)}static init_CategoricalPatternMapper(){this.define({factors:[i.Array],patterns:[i.Array],start:[i.Number,0],end:[i.Number],default_value:[i.HatchPatternType,\" \"]})}v_compute(t){const e=new Array(t.length);return n.cat_v_compute(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=c,c.__name__=\"CategoricalPatternMapper\",c.init_CategoricalPatternMapper()},\n",
+       "      function _(o,l,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=o(116),e=o(12);class i extends t.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,l,n,t){const{nan_color:i,low_color:h,high_color:c}=t,r=n.length,s=null!=this.low?this.low:e.min(o),u=null!=this.high?this.high:e.max(o),a=r/(Math.log(u)-Math.log(s)),g=n.length-1;for(let t=0,e=o.length;t<e;t++){const e=o[t];if(isNaN(e)){l[t]=i;continue}if(e>u){l[t]=null!=c?c:n[g];continue}if(e==u){l[t]=n[g];continue}if(e<s){l[t]=null!=h?h:n[0];continue}const r=Math.log(e)-Math.log(s);let _=Math.floor(r*a);_>g&&(_=g),l[t]=n[_]}}}n.LogColorMapper=i,i.__name__=\"LogColorMapper\"},\n",
+       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0}),e(1).__exportStar(e(267),t);var a=e(268);t.Marker=a.Marker;var _=e(269);t.Scatter=_.Scatter},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(268),r=Math.sqrt(3);function n(e,t){e.rotate(Math.PI/4),c(e,t),e.rotate(-Math.PI/4)}function s(e,t){const o=t*r,i=o/3;e.moveTo(-o/2,-i),e.lineTo(0,0),e.lineTo(o/2,-i),e.lineTo(0,0),e.lineTo(0,t)}function c(e,t){e.moveTo(0,t),e.lineTo(0,-t),e.moveTo(-t,0),e.lineTo(t,0)}function l(e,t){e.moveTo(0,t),e.lineTo(t/1.5,0),e.lineTo(0,-t),e.lineTo(-t/1.5,0),e.closePath()}function a(e,t){const o=t*r,i=o/3;e.moveTo(-t,i),e.lineTo(t,i),e.lineTo(0,i-o),e.closePath()}function u(e,t,o,i,r){c(e,o),n(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function d(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function v(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),c(e,o),e.stroke())}function _(e,t,o,i,r){d(e,t,o,i,r),m(e,t,o,i,r)}function f(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),s(e,o),e.stroke())}function T(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),n(e,o),e.stroke())}function z(e,t,o,i,r){c(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function k(e,t,o,i,r){l(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function C(e,t,o,i,r){l(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.moveTo(0,o),e.lineTo(0,-o),e.moveTo(-o/1.5,0),e.lineTo(o/1.5,0),e.stroke())}function h(e,t,o,i,r){k(e,t,o,i,r),m(e,t,o,i,r)}function m(e,t,o,i,r){!function(e,t){e.beginPath(),e.arc(0,0,t/4,0,2*Math.PI,!1),e.closePath()}(e,o),i.set_vectorize(e,t),e.fillStyle=e.strokeStyle,e.fill()}function P(e,t,o,i,n){!function(e,t){const o=t/2,i=r*o;e.moveTo(t,0),e.lineTo(o,-i),e.lineTo(-o,-i),e.lineTo(-t,0),e.lineTo(-o,i),e.lineTo(o,i),e.closePath()}(e,o),n.doit&&(n.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function q(e,t,o,i,r){P(e,t,o,i,r),m(e,t,o,i)}function D(e,t,o,i,r){e.rotate(Math.PI),a(e,o),e.rotate(-Math.PI),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function g(e,t,o,i,r){const n=3*o/8,s=[n,n,o,o,n,n,-n,-n,-o,-o,-n,-n],c=[o,n,n,-n,-n,-o,-o,-n,-n,n,n,o];for(e.moveTo(s[0],c[0]),t=1;t<12;t++)e.lineTo(s[t],c[t]);e.closePath(),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function M(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function S(e,t,o,i,r){const n=3*o/8;e.moveTo(-o,-o),e.quadraticCurveTo(0,-n,o,-o),e.quadraticCurveTo(n,0,o,o),e.quadraticCurveTo(0,n,-o,o),e.quadraticCurveTo(-n,0,-o,-o),e.closePath(),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function x(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),c(e,o),e.stroke())}function I(e,t,o,i,r){M(e,t,o,i,r),m(e,t,o,i)}function p(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.moveTo(-o,o),e.lineTo(o,-o),e.moveTo(-o,-o),e.lineTo(o,o),e.stroke())}function y(e,t,o,i,r){a(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function X(e,t,o,i,r){y(e,t,o,i,r),m(e,t,o,i)}function H(e,t,o,i,n){const s=o*r,c=s/3,l=3*c/8;e.moveTo(-o,c),e.quadraticCurveTo(0,l,o,c),e.quadraticCurveTo(r*l/2,l/2,0,c-s),e.quadraticCurveTo(-r*l/2,l/2,-o,c),e.closePath(),n.doit&&(n.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function Y(e,t,o,i,r){!function(e,t){e.moveTo(-t,0),e.lineTo(t,0)}(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function b(e,t,o,i,r){n(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function w(e,t,o,i,r){s(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function A(e,t){var o;const r=class extends i.MarkerView{static initClass(){this.prototype._render_one=t}};r.initClass();const n=((o=class extends i.Marker{static initClass(){this.prototype.default_view=r}}).__name__=e,o);return n.initClass(),n}o.Asterisk=A(\"Asterisk\",u),o.CircleCross=A(\"CircleCross\",v),o.CircleDot=A(\"CircleDot\",_),o.CircleY=A(\"CircleY\",f),o.CircleX=A(\"CircleX\",T),o.Cross=A(\"Cross\",z),o.Dash=A(\"Dash\",Y),o.Diamond=A(\"Diamond\",k),o.DiamondCross=A(\"DiamondCross\",C),o.DiamondDot=A(\"DiamondDot\",h),o.Dot=A(\"Dot\",m),o.Hex=A(\"Hex\",P),o.HexDot=A(\"HexDot\",q),o.InvertedTriangle=A(\"InvertedTriangle\",D),o.Plus=A(\"Plus\",g),o.Square=A(\"Square\",M),o.SquareCross=A(\"SquareCross\",x),o.SquareDot=A(\"SquareDot\",I),o.SquarePin=A(\"SquarePin\",S),o.SquareX=A(\"SquareX\",p),o.Triangle=A(\"Triangle\",y),o.TriangleDot=A(\"TriangleDot\",X),o.TrianglePin=A(\"TrianglePin\",H),o.X=A(\"X\",b),o.Y=A(\"Y\",w),o.marker_funcs={asterisk:u,circle:d,circle_cross:v,circle_dot:_,circle_y:f,circle_x:T,cross:z,diamond:k,diamond_dot:h,diamond_cross:C,dot:m,hex:P,hex_dot:q,inverted_triangle:D,plus:g,square:M,square_cross:x,square_dot:I,square_pin:S,square_x:p,triangle:y,triangle_dot:X,triangle_pin:H,dash:Y,x:b,y:w}},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(23),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(9),c=e(79);class o extends r.XYGlyphView{_render(e,s,{sx:t,sy:i,_size:r,_angle:n}){for(const a of s){if(isNaN(t[a]+i[a]+r[a]+n[a]))continue;const s=r[a]/2;e.beginPath(),e.translate(t[a],i[a]),n[a]&&e.rotate(n[a]),this._render_one(e,a,s,this.visuals.line,this.visuals.fill),n[a]&&e.rotate(-n[a]),e.translate(-t[a],-i[a])}}_mask_data(){const e=this.renderer.plot_view.frame.bbox.h_range,s=e.start-this.max_size,t=e.end+this.max_size,[i,r]=this.renderer.xscale.r_invert(s,t),n=this.renderer.plot_view.frame.bbox.v_range,a=n.start-this.max_size,_=n.end+this.max_size,[h,c]=this.renderer.yscale.r_invert(a,_);return this.index.indices({x0:i,x1:r,y0:h,y1:c})}_hit_point(e){const{sx:s,sy:t}=e,i=s-this.max_size,r=s+this.max_size,[n,a]=this.renderer.xscale.r_invert(i,r),_=t-this.max_size,h=t+this.max_size,[o,x]=this.renderer.yscale.r_invert(_,h),l=this.index.indices({x0:n,x1:a,y0:o,y1:x}),d=[];for(const e of l){const i=this._size[e]/2,r=Math.abs(this.sx[e]-s)+Math.abs(this.sy[e]-t);Math.abs(this.sx[e]-s)<=i&&Math.abs(this.sy[e]-t)<=i&&d.push([e,r])}return c.Selection.from_hits(d)}_hit_span(e){const{sx:s,sy:t}=e,i=this.bounds(),r=this.max_size/2;let n,a,_,h;if(\"h\"==e.direction){_=i.y0,h=i.y1;const e=s-r,t=s+r;[n,a]=this.renderer.xscale.r_invert(e,t)}else{n=i.x0,a=i.x1;const e=t-r,s=t+r;[_,h]=this.renderer.yscale.r_invert(e,s)}const o=this.index.indices({x0:n,x1:a,y0:_,y1:h});return new c.Selection({indices:o})}_hit_rect(e){const{sx0:s,sx1:t,sy0:i,sy1:r}=e,[n,a]=this.renderer.xscale.r_invert(s,t),[_,h]=this.renderer.yscale.r_invert(i,r),o=this.index.indices({x0:n,x1:a,y0:_,y1:h});return new c.Selection({indices:o})}_hit_poly(e){const{sx:s,sy:t}=e,i=h.range(0,this.sx.length),r=[];for(let e=0,n=i.length;e<n;e++){const n=i[e];a.point_in_poly(this.sx[e],this.sy[e],s,t)&&r.push(n)}return new c.Selection({indices:r})}draw_legend_for_index(e,{x0:s,x1:t,y0:i,y1:r},n){const a=n+1,_=new Array(a);_[n]=(s+t)/2;const h=new Array(a);h[n]=(i+r)/2;const c=new Array(a);c[n]=.4*Math.min(Math.abs(t-s),Math.abs(r-i));const o=new Array(a);o[n]=0,this._render(e,[n],{sx:_,sy:h,_size:c,_angle:o})}}t.MarkerView=o,o.__name__=\"MarkerView\";class x extends r.XYGlyph{constructor(e){super(e)}static init_Marker(){this.mixins([n.LineVector,n.FillVector]),this.define({size:[_.DistanceSpec,{units:\"screen\",value:4}],angle:[_.AngleSpec,0]})}}t.Marker=x,x.__name__=\"Marker\",x.init_Marker()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=e(1),s=e(268),n=e(267),i=a.__importStar(e(18));class _ extends s.MarkerView{_render(e,t,{sx:r,sy:a,_size:s,_angle:i,_marker:_}){for(const c of t){if(isNaN(r[c]+a[c]+s[c]+i[c])||null==_[c])continue;const t=s[c]/2;e.beginPath(),e.translate(r[c],a[c]),i[c]&&e.rotate(i[c]),n.marker_funcs[_[c]](e,c,t,this.visuals.line,this.visuals.fill),i[c]&&e.rotate(-i[c]),e.translate(-r[c],-a[c])}}draw_legend_for_index(e,{x0:t,x1:r,y0:a,y1:s},n){const i=n+1,_=new Array(i);_[n]=(t+r)/2;const c=new Array(i);c[n]=(a+s)/2;const o=new Array(i);o[n]=.4*Math.min(Math.abs(r-t),Math.abs(s-a));const l=new Array(i);l[n]=0;const u=new Array(i);u[n]=this._marker[n],this._render(e,[n],{sx:_,sy:c,_size:o,_angle:l,_marker:u})}}r.ScatterView=_,_.__name__=\"ScatterView\";class c extends s.Marker{constructor(e){super(e)}static init_Scatter(){this.prototype.default_view=_,this.define({marker:[i.MarkerSpec,{value:\"circle\"}]})}}r.Scatter=c,c.__name__=\"Scatter\",c.init_Scatter()},\n",
+       "      function _(a,o,p){Object.defineProperty(p,\"__esModule\",{value:!0});var t=a(271);p.MapOptions=t.MapOptions;var e=a(271);p.GMapOptions=e.GMapOptions;var n=a(271);p.GMapPlot=n.GMapPlot;var M=a(272);p.Plot=M.Plot},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),n=t(72),a=t(272),s=o.__importStar(t(18)),p=t(71),r=t(131),_=t(296);i.GMapPlotView=_.GMapPlotView;class l extends p.Model{constructor(t){super(t)}static init_MapOptions(){this.define({lat:[s.Number],lng:[s.Number],zoom:[s.Number,12]})}}i.MapOptions=l,l.__name__=\"MapOptions\",l.init_MapOptions();class c extends l{constructor(t){super(t)}static init_GMapOptions(){this.define({map_type:[s.String,\"roadmap\"],scale_control:[s.Boolean,!1],styles:[s.String],tilt:[s.Int,45]})}}i.GMapOptions=c,c.__name__=\"GMapOptions\",c.init_GMapOptions();class u extends a.Plot{constructor(t){super(t)}static init_GMapPlot(){this.prototype.default_view=_.GMapPlotView,this.define({map_options:[s.Instance],api_key:[s.String]}),this.override({x_range:()=>new r.Range1d,y_range:()=>new r.Range1d})}initialize(){super.initialize(),this.use_map=!0,this.api_key||n.logger.error(\"api_key is required. See https://developers.google.com/maps/documentation/javascript/get-api-key for more information on how to obtain your own.\")}}i.GMapPlot=u,u.__name__=\"GMapPlot\",u.init_GMapPlot()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),o=i.__importStar(e(23)),n=i.__importStar(e(18)),s=e(14),a=e(9),l=e(17),_=e(8),h=e(245),c=e(142),u=e(120),d=e(273),b=e(76),g=e(81),p=e(186),m=e(290);r.PlotView=m.PlotView;class f extends h.LayoutDOM{constructor(e){super(e)}static init_Plot(){this.prototype.default_view=m.PlotView,this.mixins([[\"outline_\",o.Line],[\"background_\",o.Fill],[\"border_\",o.Fill]]),this.define({toolbar:[n.Instance,()=>new d.Toolbar],toolbar_location:[n.Location,\"right\"],toolbar_sticky:[n.Boolean,!0],plot_width:[n.Number,600],plot_height:[n.Number,600],frame_width:[n.Number,null],frame_height:[n.Number,null],title:[n.Any,()=>new c.Title({text:\"\"})],title_location:[n.Location,\"above\"],above:[n.Array,[]],below:[n.Array,[]],left:[n.Array,[]],right:[n.Array,[]],center:[n.Array,[]],renderers:[n.Array,[]],x_range:[n.Instance,()=>new p.DataRange1d],extra_x_ranges:[n.Any,{}],y_range:[n.Instance,()=>new p.DataRange1d],extra_y_ranges:[n.Any,{}],x_scale:[n.Instance,()=>new u.LinearScale],y_scale:[n.Instance,()=>new u.LinearScale],lod_factor:[n.Number,10],lod_interval:[n.Number,300],lod_threshold:[n.Number,2e3],lod_timeout:[n.Number,500],hidpi:[n.Boolean,!0],output_backend:[n.OutputBackend,\"canvas\"],min_border:[n.Number,5],min_border_top:[n.Number,null],min_border_left:[n.Number,null],min_border_bottom:[n.Number,null],min_border_right:[n.Number,null],inner_width:[n.Number],inner_height:[n.Number],outer_width:[n.Number],outer_height:[n.Number],match_aspect:[n.Boolean,!1],aspect_scale:[n.Number,1],reset_policy:[n.ResetPolicy,\"standard\"]}),this.override({outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})}get width(){const e=this.properties.width.get_value();return null!=e?e:this.plot_width}set width(e){this.setv({width:e,plot_width:e})}get height(){const e=this.properties.height.get_value();return null!=e?e:this.plot_height}set height(e){this.setv({height:e,plot_height:e})}_doc_attached(){super._doc_attached(),this._push_changes([[this.properties.inner_height,null,this.inner_height],[this.properties.inner_width,null,this.inner_width]])}initialize(){super.initialize(),this.reset=new s.Signal0(this,\"reset\");for(const e of l.values(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;_.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of l.values(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;_.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const r=this.properties[t].get_value();this.setv({[t]:[...r,e]})}remove_layout(e){const t=t=>{a.remove_by(t,t=>t==e)};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new b.ColumnDataSource,r={}){const i=Object.assign(Object.assign({},r),{data_source:t,glyph:e}),o=new g.GlyphRenderer(i);return this.add_renderers(o),o}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return[...this.side_panels,...this.center]}get side_panels(){const{above:e,below:t,left:r,right:i}=this;return a.concat([e,t,r,i])}}r.Plot=f,f.__name__=\"Plot\",f.init_Plot()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),c=t(8),o=t(9),n=t(274),a=t(283),l=t=>{switch(t){case\"tap\":return\"active_tap\";case\"pan\":return\"active_drag\";case\"pinch\":case\"scroll\":return\"active_scroll\";case\"multi\":return\"active_multi\"}return null},r=t=>\"tap\"==t||\"pan\"==t;class _ extends a.ToolbarBase{constructor(t){super(t)}static init_Toolbar(){this.prototype.default_view=a.ToolbarBaseView,this.define({active_drag:[i.Any,\"auto\"],active_inspect:[i.Any,\"auto\"],active_scroll:[i.Any,\"auto\"],active_tap:[i.Any,\"auto\"],active_multi:[i.Any,null]})}connect_signals(){super.connect_signals();const{tools:t,active_drag:s,active_inspect:e,active_scroll:i,active_tap:c,active_multi:o}=this.properties;this.on_change([t,s,e,i,c,o],()=>this._init_tools())}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof n.InspectTool){let t=!1;for(const s of this.inspectors)s!=this.active_inspect?s.active=!1:t=!0;t||(this.active_inspect=null)}else if(c.isArray(this.active_inspect)){const t=o.intersection(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)o.includes(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t in this.gestures){const s=this.gestures[t];s.tools=o.sort_by(s.tools,t=>t.default_order);for(const t of s.tools)this.connect(t.properties.active.change,()=>this._active_change(t))}for(const s in this.gestures){const e=l(s);if(e){const i=this[e];if(\"auto\"==i){const e=this.gestures[s];0!=e.tools.length&&r(s)&&t(e.tools[0])}else null!=i&&(o.includes(this.tools,i)?t(i):this[e]=null)}}}}e.Toolbar=_,_.__name__=\"Toolbar\",_.init_Toolbar()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(1),s=e(275),i=e(282),_=n.__importStar(e(18));class c extends s.ButtonToolView{}o.InspectToolView=c,c.__name__=\"InspectToolView\";class l extends s.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}static init_InspectTool(){this.prototype.button_view=i.OnOffButtonView,this.define({toggleable:[_.Boolean,!0]}),this.override({active:!0})}}o.InspectTool=l,l.__name__=\"InspectTool\",l.init_InspectTool()},\n",
+       "      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),s=i.__importDefault(t(276)),n=t(66),l=t(277),r=t(68),a=i.__importStar(t(18)),u=t(24),_=t(8),h=t(9),c=t(278),m=i.__importDefault(t(279)),d=i.__importDefault(t(280)),p=i.__importDefault(t(257)),f=t(281);class g extends n.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,i=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new f.ContextMenu(o?h.reversed(t):t,{orientation:i,prevent_hide:t=>t.target==this.el})}this._hammer=new s.default(this.el,{touchAction:\"auto\",inputClass:s.default.TouchMouseInput}),this.connect(this.model.change,()=>this.render()),this._hammer.on(\"tap\",t=>{var e;(null===(e=this._menu)||void 0===e?void 0:e.is_open)?this._menu.hide():t.target==this.el&&this._clicked()}),this._hammer.on(\"press\",()=>this._pressed())}remove(){var t;this._hammer.destroy(),null===(t=this._menu)||void 0===t||t.remove(),super.remove()}styles(){return[...super.styles(),m.default,d.default,p.default]}css_classes(){return super.css_classes().concat(c.bk_toolbar_button)}render(){r.empty(this.el);const t=this.model.computed_icon;_.isString(t)&&(u.startsWith(t,\"data:image\")?this.el.style.backgroundImage=\"url('\"+t+\"')\":this.el.classList.add(t)),this.el.title=this.model.tooltip,null!=this._menu&&this.root.el.appendChild(this._menu.el)}_pressed(){var t;const{left:e,top:o,right:i,bottom:s}=this.el.getBoundingClientRect(),n=(()=>{switch(this.parent.model.toolbar_location){case\"right\":return{right:e,top:o};case\"left\":return{left:i,top:o};case\"above\":return{left:e,top:s};case\"below\":return{left:e,bottom:o}}})();null===(t=this._menu)||void 0===t||t.toggle(n)}}o.ButtonToolButtonView=g,g.__name__=\"ButtonToolButtonView\";class v extends l.ToolView{}o.ButtonToolView=v,v.__name__=\"ButtonToolView\";class b extends l.Tool{constructor(t){super(t)}static init_ButtonTool(){this.internal({disabled:[a.Boolean,!1]})}get tooltip(){return this.tool_name}get computed_icon(){return this.icon}get menu(){return null}}o.ButtonTool=b,b.__name__=\"ButtonTool\",b.init_ButtonTool()},\n",
+       "      function _(t,e,n){\n",
+       "      /*! Hammer.JS - v2.0.7 - 2016-04-22\n",
+       "           * http://hammerjs.github.io/\n",
+       "           *\n",
+       "           * Copyright (c) 2016 Jorik Tangelder;\n",
+       "           * Licensed under the MIT license */\n",
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i(n){e.manager.emit(n,t)}n<8&&i(e.options.event+ft(n)),i(e.options.event),t.additionalEvent&&i(t.additionalEvent),n>=8&&i(e.options.event+ft(n))},tryEmit:function(t){if(this.canEmit())return this.emit(t);this.state=32},canEmit:function(){for(var t=0;t<this.requireFail.length;){if(!(33&this.requireFail[t].state))return!1;t++}return!0},recognize:function(t){var e=s({},t);if(!T(this.options.enable,[this,e]))return this.reset(),void(this.state=32);56&this.state&&(this.state=1),this.state=this.process(e),30&this.state&&this.tryEmit(e)},process:function(t){},getTouchAction:function(){},reset:function(){}},g(mt,pt,{defaults:{pointers:1},attrTest:function(t){var e=this.options.pointers;return 0===e||t.pointers.length===e},process:function(t){var e=this.state,n=t.eventType,i=6&e,r=this.attrTest(t);return i&&(8&n||!r)?16|e:i||r?4&n?8|e:2&e?4|e:2:32}}),g(gt,mt,{defaults:{event:\"pan\",threshold:10,pointers:1,direction:30},getTouchAction:function(){var t=this.options.direction,e=[];return 6&t&&e.push(\"pan-y\"),24&t&&e.push(\"pan-x\"),e},directionTest:function(t){var e=this.options,n=!0,i=t.distance,r=t.direction,s=t.deltaX,o=t.deltaY;return r&e.direction||(6&e.direction?(r=0===s?1:s<0?2:4,n=s!=this.pX,i=Math.abs(t.deltaX)):(r=0===o?1:o<0?8:16,n=o!=this.pY,i=Math.abs(t.deltaY))),t.direction=r,n&&i>e.threshold&&r&e.direction},attrTest:function(t){return mt.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=vt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(yt,mt,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(Tt,pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[\"auto\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime>e.time;if(this._input=t,!i||!n||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return 32},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Et,mt,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(It,mt,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return gt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,n=this.options.direction;return 30&n?e=t.overallVelocity:6&n?e=t.overallVelocityX:24&n&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&n&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=vt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(At,pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[\"manipulation\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime<e.time;if(this.reset(),1&t.eventType&&0===this.count)return this.failTimeout();if(i&&r&&n){if(4!=t.eventType)return this.failTimeout();var s=!this.pTime||t.timeStamp-this.pTime<e.interval,o=!this.pCenter||L(this.pCenter,t.center)<e.posThreshold;if(this.pTime=t.timeStamp,this.pCenter=t.center,o&&s?this.count+=1:this.count=1,this._input=t,0===this.count%e.taps)return this.hasRequireFailures()?(this._timer=l((function(){this.state=8,this.tryEmit()}),e.interval,this),2):8}return 32},failTimeout:function(){return this._timer=l((function(){this.state=32}),this.options.interval,this),32},reset:function(){clearTimeout(this._timer)},emit:function(){8==this.state&&(this._input.tapCount=this.count,this.manager.emit(this.options.event,this._input))}}),_t.VERSION=\"2.0.7\",_t.defaults={domEvents:!1,touchAction:\"compute\",enable:!0,inputTarget:null,inputClass:null,preset:[[Et,{enable:!1}],[yt,{enable:!1},[\"rotate\"]],[It,{direction:6}],[gt,{direction:6},[\"swipe\"]],[At],[At,{event:\"doubletap\",taps:2},[\"tap\"]],[Tt]],cssProps:{userSelect:\"none\",touchSelect:\"none\",touchCallout:\"none\",contentZooming:\"none\",userDrag:\"none\",tapHighlightColor:\"rgba(0,0,0,0)\"}};function Ct(t,e){var n;this.options=s({},_t.defaults,e||{}),this.options.inputTarget=this.options.inputTarget||t,this.handlers={},this.session={},this.recognizers=[],this.oldCssProps={},this.element=t,this.input=new((n=this).options.inputClass||(M?J:z?nt:R?rt:j))(n,F),this.touchAction=new lt(this,this.options.touchAction),St(this,!0),f(this.options.recognizers,(function(t){var e=this.add(new t[0](t[1]));t[2]&&e.recognizeWith(t[2]),t[3]&&e.requireFailure(t[3])}),this)}function St(t,e){var n,i=t.element;i.style&&(f(t.options.cssProps,(function(r,s){n=D(i.style,s),e?(t.oldCssProps[n]=i.style[n],i.style[n]=r):i.style[n]=t.oldCssProps[n]||\"\"})),e||(t.oldCssProps={}))}Ct.prototype={set:function(t){return s(this.options,t),t.touchAction&&this.touchAction.update(),t.inputTarget&&(this.input.destroy(),this.input.target=t.inputTarget,this.input.init()),this},stop:function(t){this.session.stopped=t?2:1},recognize:function(t){var e=this.session;if(!e.stopped){var n;this.touchAction.preventDefaults(t);var i=this.recognizers,r=e.curRecognizer;(!r||r&&8&r.state)&&(r=e.curRecognizer=null);for(var s=0;s<i.length;)n=i[s],2===e.stopped||r&&n!=r&&!n.canRecognizeWith(r)?n.reset():n.recognize(t),!r&&14&n.state&&(r=e.curRecognizer=n),s++}},get:function(t){if(t instanceof pt)return t;for(var e=this.recognizers,n=0;n<e.length;n++)if(e[n].options.event==t)return e[n];return null},add:function(t){if(p(t,\"add\",this))return this;var e=this.get(t.options.event);return e&&this.remove(e),this.recognizers.push(t),t.manager=this,this.touchAction.update(),t},remove:function(t){if(p(t,\"remove\",this))return this;if(t=this.get(t)){var e=this.recognizers,n=b(e,t);-1!==n&&(e.splice(n,1),this.touchAction.update())}return this},on:function(t,e){if(void 0!==t&&void 0!==e){var n=this.handlers;return f(S(t),(function(t){n[t]=n[t]||[],n[t].push(e)})),this}},off:function(t,e){if(void 0!==t){var n=this.handlers;return f(S(t),(function(t){e?n[t]&&n[t].splice(b(n[t],e),1):delete n[t]})),this}},emit:function(t,e){this.options.domEvents&&function(t,e){var i=n.createEvent(\"Event\");i.initEvent(t,!0,!0),i.gesture=e,e.target.dispatchEvent(i)}(t,e);var i=this.handlers[t]&&this.handlers[t].slice();if(i&&i.length){e.type=t,e.preventDefault=function(){e.srcEvent.preventDefault()};for(var r=0;r<i.length;)i[r](e),r++}},destroy:function(){this.element&&St(this,!1),this.handlers={},this.session={},this.input.destroy(),this.element=null}},s(_t,{INPUT_START:1,INPUT_MOVE:2,INPUT_END:4,INPUT_CANCEL:8,STATE_POSSIBLE:1,STATE_BEGAN:2,STATE_CHANGED:4,STATE_ENDED:8,STATE_RECOGNIZED:8,STATE_CANCELLED:16,STATE_FAILED:32,DIRECTION_NONE:1,DIRECTION_LEFT:2,DIRECTION_RIGHT:4,DIRECTION_UP:8,DIRECTION_DOWN:16,DIRECTION_HORIZONTAL:6,DIRECTION_VERTICAL:24,DIRECTION_ALL:30,Manager:Ct,Input:Y,TouchAction:lt,TouchInput:nt,MouseInput:j,PointerEventInput:J,TouchMouseInput:rt,SingleTouchInput:Q,Recognizer:pt,AttrRecognizer:mt,Tap:At,Pan:gt,Swipe:It,Pinch:yt,Rotate:Et,Press:Tt,on:I,off:A,each:f,merge:m,extend:d,assign:s,inherit:g,bindFn:y,prefixed:D}),(void 0!==t?t:\"undefined\"!=typeof self?self:{}).Hammer=_t,\"function\"==typeof define&&define.amd?define((function(){return _t})):void 0!==e&&e.exports?e.exports=_t:t.Hammer=_t}(window,document)},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1).__importStar(t(18)),o=t(67),s=t(9),a=t(71);class r extends o.View{get plot_view(){return this.parent}get plot_model(){return this.parent.model}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>{this.model.active?this.activate():this.deactivate()})}activate(){}deactivate(){}}i.ToolView=r,r.__name__=\"ToolView\";class _ extends a.Model{constructor(t){super(t)}static init_Tool(){this.prototype._known_aliases=new Map,this.internal({active:[n.Boolean,!1]})}get synthetic_renderers(){return[]}_get_dim_tooltip(t,e){switch(e){case\"width\":return t+\" (x-axis)\";case\"height\":return t+\" (y-axis)\";case\"both\":return t}}_get_dim_limits([t,e],[i,n],o,a){const r=o.bbox.h_range;let _;\"width\"==a||\"both\"==a?(_=[s.min([t,i]),s.max([t,i])],_=[s.max([_[0],r.start]),s.min([_[1],r.end])]):_=[r.start,r.end];const l=o.bbox.v_range;let c;return\"height\"==a||\"both\"==a?(c=[s.min([e,n]),s.max([e,n])],c=[s.max([c[0],l.start]),s.min([c[1],l.end])]):c=[l.start,l.end],[_,c]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}i.Tool=_,_.__name__=\"Tool\",_.init_Tool()},\n",
+       "      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_toolbar=\"bk-toolbar\",t.bk_toolbar_hidden=\"bk-toolbar-hidden\",t.bk_toolbar_button=\"bk-toolbar-button\",t.bk_button_bar=\"bk-button-bar\",t.bk_toolbar_button_custom_action=\"bk-toolbar-button-custom-action\"},\n",
+       "      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-toolbar-hidden {\\n  visibility: hidden;\\n  opacity: 0;\\n  transition: visibility 0.3s linear, opacity 0.3s linear;\\n}\\n.bk-root .bk-toolbar,\\n.bk-root .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-toolbar .bk-logo {\\n  flex-shrink: 0;\\n  -webkit-flex-shrink: 0;\\n}\\n.bk-root .bk-toolbar.bk-above,\\n.bk-root .bk-toolbar.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n  justify-content: flex-end;\\n  -webkit-justify-content: flex-end;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-logo,\\n.bk-root .bk-toolbar.bk-below .bk-logo {\\n  order: 1;\\n  -webkit-order: 1;\\n  margin-left: 5px;\\n  margin-right: 0px;\\n}\\n.bk-root .bk-toolbar.bk-left,\\n.bk-root .bk-toolbar.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  justify-content: flex-start;\\n  -webkit-justify-content: flex-start;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-logo,\\n.bk-root .bk-toolbar.bk-right .bk-logo {\\n  order: 0;\\n  -webkit-order: 0;\\n  margin-bottom: 5px;\\n  margin-top: 0px;\\n}\\n.bk-root .bk-toolbar-button {\\n  width: 30px;\\n  height: 30px;\\n  cursor: pointer;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-toolbar-button:hover {\\n  background-color: rgba(192, 192, 192, 0.15);\\n}\\n.bk-root .bk-toolbar-button:focus {\\n  outline: none;\\n}\\n.bk-root .bk-toolbar-button::-moz-focus-inner {\\n  border: 0;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button {\\n  border-bottom: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button.bk-active {\\n  border-bottom-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button {\\n  border-top: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button.bk-active {\\n  border-top-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button {\\n  border-left: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button.bk-active {\\n  border-left-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button {\\n  border-right: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button.bk-active {\\n  border-right-color: #26aae1;\\n}\\n.bk-root .bk-button-bar + .bk-button-bar:before {\\n  content: \" \";\\n  display: inline-block;\\n  background-color: lightgray;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar + .bk-button-bar:before {\\n  height: 10px;\\n  width: 1px;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar + .bk-button-bar:before {\\n  height: 1px;\\n  width: 10px;\\n}\\n'},\n",
+       "      function _(A,g,C){Object.defineProperty(C,\"__esModule\",{value:!0});C.default='\\n.bk-root .bk-tool-icon-replace-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxokK3gniQAAAHpJREFUWMNjXLhsJcNAAiaGAQajDhhwB7DgEP+PxmeksvjgDwFcLmYkUh2hkBj8IcBIZXsYh1w2/I8v3sgAOM0bLYhGc8GgrwuICgldfQO88pcvXvg/aOuCUQeM5oLRuoCFCJcTbOMh5XOiW0JDNhdQS3y0IBp1ABwAAF8KGrhC1Eg6AAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-append-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkZWD04WwAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAAAoUlEQVRYw+1WQQ6AIAwrhO8Y/bIXEz9jIMSDr8ETCUEPQzA4pMeFLKNbu4l5WR0CDOMEALBGIzMuQIBEZQjPgP9JLjwTfBjY9sO9lZsFA9IafZng3BlIyVefgd8XQFZBAWe8jfNxwsDhir6rzoCiPiy1K+J8/FRQemv2XfAdFcQ9znU4Viqg9ta1qYJ+D1BnAIBrkgGVOrXNqUA9rbyZm/AEzFh4jEeY/soAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-intersect-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkrkOpp2wAAAPhJREFUWMPtV1EKwjAMTUavI3oawR/vtn5srJdREfzwMvHHQlcT2mpdMzFfWxiP5r2+JMN+mAiCOB72CABgR1cln4oOGocJnuMTSxWk8jMm7OggYkYXA9gPE3uyd8NXHONJ+eYMdE/NqCJmEZ5ZqlJJ4sUksKN7cYSaPoCZFWR1QI+Xm1fBACU63Cw22x0AAJxudwrffVwvZ+JmQdAHZkw0d4EpAMCw8k87pMdbnwtizQumJYv3nwV6XOA1qbUT/oQLUJgFRbsiNwFVucBIlyR3p0tdMp+XmFjfLKi1LatyAXtCRjPWBdL3Ke3VuACJKFfDr/xFN2fgAR/Go0qaLlmEAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-subtract-mode {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-clear-selection {\\n  background-image: 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url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAG/3pUWHRSYXcgcHJvZmlsZSB0eXBlIGV4aWYAAHjarVdpknSpDfzPKXwEJBDLccQW4Rv4+E4BtXR198znCdeLLijgQUoppWg3//Pv5f6FDwefXJRcUk3J4xNrrKzoFH8+pyUf9/f+8J3C7y/j7jnBGApow/mZ5l2vGJfXCzne8fZ13OV+9yl3ozvx2DDYyXbauCDvRoHPON3frl5Imt7MuX8hH0seiz9/xwxnDMFgYMczUPD7m89J4fwp/iK+OVRbiMf6gm8K4bv/3NN1Pzjw2fvwn+93PLzccTZ6mJU+/HTHSX723/bSOyLi58n8jmiqz/798+a/tUZZax7rNCKOakzXqIcpu4eFDe483kh4Mv4E/byfiqd49R2OHzC1Od/woxLD44siDVJaNHfbqQNi5MkZLXPnsMdKyFy5gwwCHXhocXahhhEK+OhgLmCYn1hon1vtPBxWcPIgrGTCZrR5fHvc58A/fb5stJaFOZEvT18BF1t8AYYxZ99YBUJoXZ/K9i+50/jPjxEbwKBsNxcYqL6dLZrQK7bC5jl4cVga/Ql5yuNuABfhbAEYCmDAJwpCiXxmzkTwYwE/CuQcIjcwQOKEB1ByDCGBnMJ2Nt7JtNey8BmGvIAICSlkUFODgqwYJSbkW0EIqZMgUUSSZClSRVNIMUlKKSfTKc0hxyw55ZxLrllLKLFISSWXUmrRyjVAxsTVVHMttVZVHKpRsZdivWKgcQstNmmp5VZabdoRPj126annXnrtOniEAQlwI408yqhDJ02E0oxTZpp5llmnLsTaCisuWWnlVVZd+mTtsvqVtU/m/po1uqzxJsrW5RdrGM75sQWZnIhxBsY4EhjPxgACmo0zXyhGNuaMM185uBCEgVKMnEHGGBiMk1gWPbl7Mfcrbw7e/V9545+Yc0bd/4M5Z9S9Mfedtx9YG7rlNmyCLAvhUyhkQPrNhvO5AJFnrZIR0plaLL5liQYdDi5TubaIokFDkmoFEB8CzxZVxemssDqthPhUblPgW1iQU5g6XwNwyVI7bUFRm035iNziMkgWvEso2SXnsJfveR0Y4SlVF8YWC1pVQhJiQa8JwDvlMNIxAfq3F7GDObHU1LlhzlZaWwNp6BvACxAgInGXlllMGZCpEnZHrGA6GM2718xuFcz7YdUQxzEEfjdWz4GlkcwaonT0pgA6mB25grPILtnSMhuCpsGhmMU6uJbixJs4lbKHqh+wos1jW2rchyGRCIvN9MXu+KAmMSfAlIKVvi/tybhCPJZCu2Ow9pLdyo427+X2ovMBmKNu8PA0zgl3fS0PB1DWWkVYB47bkyiJHhkFPzTzCjzn4Dq1mqoIWzCmcDGsHQmQAQdEHsixK1IXESd5rLU7THVJNV8obHS8sZeN0G5Jdt5pQTVKCCbgK1hItTS8o92iEZpuWJ/oC2r/0+zTmhvFXoaMVKRe27altDtid6OvG1hENVwBnC61KKugNoemOiPCCNb3GoHAZOFuDxxPsD+07nbSPcr/o1Zmc4jARhotrA5F5ZcjP9rPk90vR8A+k028A+8+5wKlHVID542sMzMCuXktkRzUCpE+xCBZywjNcJITx0II9x5948CekBl4XaC5OCX2nCyObdwN3HwQh5DWL/BBEkhDYHn/vpXNgZkVTZs8rj+HO8JFC6qvDVhgAEQSYCDyC86rMhG1WPzAVB9ZldDWG6EzDcFiqJBDvFS8mXDv3SK2LPoguVB2kwUx7UL5KqZWiEzocsbvSjNnaYDNtcYJuA5cDcsrvHd6yCxGjqvl9+wh3Qh8Kc9py8sNW8ncU8qwxdPj1qIGfrPqlXeoS4/JLa/LwRLTCtxuSoZUT+2Su6kXW3QNacYQbId6NUKVbROpviybFSPQQL9lhB2MamEnFyB9Y+hrG1+xBg+L0QG2TZdTdlcsBdq9oHdt9Bu5/IM9+Nfh1AwrSqlboTA6Bgq568A7UfbaMrZjoQZhQphofvNw93+bN+5X7FYKBgLmRid+tSdV6c02A4R0cHwKobmoMt5+6WI9XNISFIywpf6RMd5/a91vE78FzVHIFmxud4woyJx76OMTCa4yhgN3iJO2VfRPFMv9sYTxFzU+1eWeYS52pwOoSJldZY6koib4P1O427rbeUrNZfu44hWjz5ZSuu/vKPpimoXbLkfxWSPetvxDWG5jQSaZCxA3ad+p6rlttDhK+YwwK1LHVe0drDtorc5vnQ1247g58vewDtU7L3DRwrG4dhCUDRKKOtYr2dXHtpt+33d1WZmfkAHdl7Q8ENF+CNgB+nOw29n5F7SeNo/ckbu4laLTCdqJLHjmhJbKzmrCEX7zULrhefuHmu0V/1nbP1pnb6FaT7sOxn4pvWkfrYhYtCeJ4Xv+kOXrroIs1eHWXN1/AfzaY94ms5vaAAABg2lDQ1BJQ0MgcHJvZmlsZQAAeJx9kT1Iw0AcxV/TSkUqDnYQUchQnSyIijhqFYpQIdQKrTqYXPoFTRqSFBdHwbXg4Mdi1cHFWVcHV0EQ/ABxcnRSdJES/5cUWsR4cNyPd/ced+8AoVFhmhUaBzTdNtPJhJjNrYrhV4QwjAgGIMrMMuYkKQXf8XWPAF/v4jzL/9yfo1fNWwwIiMSzzDBt4g3i6U3b4LxPHGUlWSU+Jx4z6YLEj1xXPH7jXHRZ4JlRM5OeJ44Si8UOVjqYlUyNeIo4pmo65QtZj1XOW5y1So217slfGMnrK8tcpzmEJBaxBAkiFNRQRgU24rTqpFhI037Cxz/o+iVyKeQqg5FjAVVokF0/+B/87tYqTE54SZEE0PXiOB8jQHgXaNYd5/vYcZonQPAZuNLb/moDmPkkvd7WYkdA3zZwcd3WlD3gcgcYeDJkU3alIE2hUADez+ibckD/LdCz5vXW2sfpA5ChrlI3wMEhMFqk7HWfd3d39vbvmVZ/P2aecqIM1FFZAAAABmJLR0QAAAAAAAD5Q7t/AAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AQdDBkQmV+argAABM5JREFUWMOtl9trHFUcxz9n9jYzm7Tb9JIWGtqUllLwVgRBQWl90S6lTaGmF6E2/4H+A4r+A0offdlWodL4kEZw9bG+iC9iKqLF0os0EBq02dtcdmdnfj7szGZ2M5vulv5g4JwzZ873+7ufUfMLi0RSa1TZNzVFrW511xBhzMxx79EyOwrbGSSzZ073zOcXFnlv5lTi3mvfzAPwwYVZ0tHiq6+/xu+/LlGtWYgEINL9oG657N41yfSRgxw9cHjDgfMLi8QVsR0X23E3gMXnkXQJ3L9zB99vI4EA0sVXqsPF93xW7y73ACVJBJwE1j8HUBIi3Sz/QNtrIzHN+yWdSdNue915IMKWXI4TJ050Adp+U+2bmkrV6tZeYAXwEJExMyf3Hi0rM5fvAvS4wPdBKRW6vZeEUiq0RIBCddddpymu0+rRbPvEzkPVmmWLBA1EdGAbYNctt7V712QwfeSgd/uXJQnPVVoEEAQBTxXpuEMELNtNNFW1WrsrQdBCRImQEeE/wBUh53v+7tW7y5n1+BZRIoJSioXvy3itdgclURSZTBrP87AdV57G1TT0d4GPgC+Bw8Ca7bifATsTgzBvjlH1qgNdICJM7tjB8soKw4jtuD+Gw3c229e1wF+P/uHPpT86rhBBRHActwAcAl4EjgIvAYcFJnlOoq5dv6EBU8AR4OUQ6AVgGjATwuC5YUdZ4A+z+1mBTUM/AKwqpZSIpPfu2VP7+/6DYEMMPE9N83lzq23ZWwxDd4GaQnmgUloqperSCpKC8HGCXz8G7NANU8CWUKPzsUDbyLPVyjYC39e0VMZx3Ccoha4b4lQqbUlnsBqNWCXpEMgKfA38DNSBcdPQr4zlMtTtFiqlulmQmJv9ks2idUZGZMjZmZMAfBUvxWHR0y5dmPV2FcbPG9ncFdPQS3nTuAJQLBZpBS1qjSqFwjipdGr9SWlsHTewm9ZmnngMKAaV9nBd+/bmdxSLRc6dnemm3+yZ06pcLvPGW2+yfWIn1ZpFEAQEvt95goCV1TXMXH4zAt4woaRF7RTAVylAUS6Xpdpsdjvk2VMnsSyHhuVEZTh+xgywBhwLfZIdKRfj7dWqPGFubq7T428ukslkaHttLNsZ9P3nwIfh+DhwS4EO9DA0zByBCE2n1fPxpQuznSCaX1js9nFp2pjbtqGhobQ0jUY9CbgALERah3IM+El1rNqTaqaph5W1uYGAFrfA5YvnyE9MoFBYtjMI/BXgQR/4pqVDZL3V9/cYrX+x7SnsXh/H5TLwW2iBQbVLNgn65CDsrSPOIJOXwmdQ4fRHrZilUqmXwNXrNzbbfxv4ArgFVBLeJ95oDEMHwHHcvvUcRqEwuBf0SSUEB9gfxsAgAkO1kcj/WvwKPaR8EhvPAUvRtdIMtR1FtBH37w8DEeChaehXw/xfAnzHcVOjEkhHrIe0Qlz7T8PuWLEd9+2w9KphgUUgQJ7JAgAPDT13NTrJyOYqIilrlEwQv/NPMTSByxfPIU37eCqtq2zWmPYDjbavaLYVdn2NuffPjqRJK2hRLBaHzoK+X7L1QE+nIFeYoFQqkTVMaTn2UOe1LWtwEJqGzqgRnS9M4Fb+3XBJGfSrFzW9dBw0icioJBzHzUXdMJM18APwWo6Kmy1O6X+V8UHDotBqogAAAABJRU5ErkJggg==\");\\n}\\n'},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(68),o=n.__importStar(t(255));class l{constructor(t,e={}){this.items=t,this.options=e,this.el=s.div(),this._open=!1,this._item_click=t=>{var e;null===(e=this.items[t])||void 0===e||e.handler(),this.hide()},this._on_mousedown=t=>{var e,i;const{target:n}=t;n instanceof Node&&this.el.contains(n)||(null===(i=(e=this.options).prevent_hide)||void 0===i?void 0:i.call(e,t))||this.hide()},this._on_keydown=t=>{t.keyCode==s.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},s.undisplay(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){s.remove(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=e.getBoundingClientRect();this.el.style.left=null!=t.left?t.left-i.left+\"px\":\"\",this.el.style.top=null!=t.top?t.top-i.top+\"px\":\"\",this.el.style.right=null!=t.right?i.right-t.right+\"px\":\"\",this.el.style.bottom=null!=t.bottom?i.bottom-t.bottom+\"px\":\"\"}}render(){var t;s.empty(this.el,!0);const e=null!==(t=this.options.orientation)&&void 0!==t?t:\"vertical\";s.classes(this.el).add(\"bk-context-menu\",\"bk-\"+e),s.append(this.el,...this.items.map((t,e)=>{var i;let n;if(null!=t){const e=null!=t.icon?s.div({class:[\"bk-menu-icon\",t.icon]}):null;n=s.div({class:(null===(i=t.active)||void 0===i?void 0:i.call(t))?\"bk-active\":null,title:t.tooltip},e,t.label)}else n=s.div({class:o.bk_divider});return n.addEventListener(\"click\",()=>this._item_click(e)),n}))}show(t){0!=this.items.length&&(this._open||(this.render(),this._position(null!=t?t:{left:0,top:0}),s.display(this.el),this._listen(),this._open=!0))}hide(){this._open&&(this._open=!1,this._unlisten(),s.undisplay(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=l,l.__name__=\"ContextMenu\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(275),i=e(146),s=e(68);class c extends o.ButtonToolButtonView{render(){super.render(),s.classes(this.el).toggle(i.bk_active,this.model.active)}_clicked(){const{active:e}=this.model;this.model.active=!e}}n.OnOffButtonView=c,c.__name__=\"OnOffButtonView\"},\n",
+       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(72),l=t(68),n=t(99),a=i.__importStar(t(18)),r=t(66),_=t(9),c=t(8),h=t(71),u=t(284),v=t(285),d=t(286),b=t(274),p=t(278),g=t(288),f=t(146),m=i.__importDefault(t(279)),w=i.__importDefault(t(289));class y extends h.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define({_visible:[a.Any,null],autohide:[a.Boolean,!1]})}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=y,y.__name__=\"ToolbarViewModel\",y.init_ToolbarViewModel();class T extends r.DOMView{initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new y({autohide:this.model.autohide})}async lazy_initialize(){await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,async()=>{await this._build_tool_button_views(),this.render()}),this.connect(this.model.properties.autohide.change,()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()}),this.connect(this._toolbar_view_model.properties._visible.change,()=>this._on_visible_change())}styles(){return[...super.styles(),m.default,w.default]}remove(){n.remove_views(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await n.build_views(this._tool_button_views,t,{parent:this},t=>t.button_view)}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const t=this._toolbar_view_model.visible,o=p.bk_toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(l.empty(this.el),this.el.classList.add(p.bk_toolbar),this.el.classList.add(f.bk_side(this.model.toolbar_location)),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?g.bk_grey:null,o=l.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[g.bk_logo,g.bk_logo_small,t]});this.el.appendChild(o)}for(const[,t]of this._tool_button_views)t.render();const t=[],o=t=>this._tool_button_views.get(t).el,{gestures:e}=this.model;for(const i in e)t.push(e[i].tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter(t=>t.toggleable).map(o));for(const o of t)if(0!==o.length){const t=l.div({class:p.bk_button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}}function k(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=T,T.__name__=\"ToolbarBaseView\";class M extends h.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=T,this.define({tools:[a.Array,[]],logo:[a.Logo,\"normal\"],autohide:[a.Boolean,!1]}),this.internal({gestures:[a.Any,k],actions:[a.Array,[]],inspectors:[a.Array,[]],help:[a.Array,[]],toolbar_location:[a.Location,\"right\"]})}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map(t=>t.id));return _.some(t,t=>!e.has(t.id))},o=this.tools.filter(t=>t instanceof b.InspectTool);t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter(t=>t instanceof d.HelpTool);t(this.help,e)&&(this.help=e);const i=this.tools.filter(t=>t instanceof v.ActionTool);t(this.actions,i)&&(this.actions=i);const l=(t,o)=>{t in this.gestures||s.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},n={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof u.GestureTool&&t.event_type)if(c.isString(t.event_type))n[t.event_type].tools.push(t),l(t.event_type,t);else{n.multi.tools.push(t);for(const o of t.event_type)l(o,t)}for(const o of Object.keys(n)){const e=this.gestures[o];t(e.tools,n[o].tools)&&(e.tools=n[o].tools),e.active&&_.every(e.tools,t=>t.id!=e.active.id)&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=c.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(s.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,s.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=M,M.__name__=\"ToolbarBase\",M.init_ToolbarBase()},\n",
+       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(275),n=e(282);class u extends s.ButtonToolView{}t.GestureToolView=u,u.__name__=\"GestureToolView\";class _ extends s.ButtonTool{constructor(e){super(e),this.button_view=n.OnOffButtonView}}t.GestureTool=_,_.__name__=\"GestureTool\"},\n",
+       "      function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=o(275),i=o(14);class s extends e.ButtonToolButtonView{_clicked(){this.model.do.emit()}}n.ActionToolButtonView=s,s.__name__=\"ActionToolButtonView\";class c extends e.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,()=>this.doit())}}n.ActionToolView=c,c.__name__=\"ActionToolView\";class l extends e.ButtonTool{constructor(o){super(o),this.button_view=s,this.do=new i.Signal0(this,\"do\")}}n.ActionTool=l,l.__name__=\"ActionTool\"},\n",
+       "      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(1),l=o(285),s=i.__importStar(o(18)),n=o(287);class _ extends l.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=_,_.__name__=\"HelpToolView\";class r extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.bk_tool_icon_help}static init_HelpTool(){this.prototype.default_view=_,this.define({help_tooltip:[s.String,\"Click the question mark to learn more about Bokeh plot tools.\"],redirect:[s.String,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}),this.register_alias(\"help\",()=>new r)}get tooltip(){return this.help_tooltip}}t.HelpTool=r,r.__name__=\"HelpTool\",r.init_HelpTool()},\n",
+       "      function _(o,_,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tool_icon_box_select=\"bk-tool-icon-box-select\",l.bk_tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",l.bk_tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",l.bk_tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",l.bk_tool_icon_help=\"bk-tool-icon-help\",l.bk_tool_icon_hover=\"bk-tool-icon-hover\",l.bk_tool_icon_crosshair=\"bk-tool-icon-crosshair\",l.bk_tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",l.bk_tool_icon_pan=\"bk-tool-icon-pan\",l.bk_tool_icon_xpan=\"bk-tool-icon-xpan\",l.bk_tool_icon_ypan=\"bk-tool-icon-ypan\",l.bk_tool_icon_range=\"bk-tool-icon-range\",l.bk_tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",l.bk_tool_icon_redo=\"bk-tool-icon-redo\",l.bk_tool_icon_reset=\"bk-tool-icon-reset\",l.bk_tool_icon_save=\"bk-tool-icon-save\",l.bk_tool_icon_tap_select=\"bk-tool-icon-tap-select\",l.bk_tool_icon_undo=\"bk-tool-icon-undo\",l.bk_tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",l.bk_tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",l.bk_tool_icon_box_edit=\"bk-tool-icon-box-edit\",l.bk_tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",l.bk_tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",l.bk_tool_icon_point_draw=\"bk-tool-icon-point-draw\",l.bk_tool_icon_poly_edit=\"bk-tool-icon-poly-edit\",l.bk_tool_icon_line_edit=\"bk-tool-icon-line-edit\"},\n",
+       "      function _(o,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_logo=\"bk-logo\",b.bk_logo_notebook=\"bk-logo-notebook\",b.bk_logo_small=\"bk-logo-small\",b.bk_grey=\"bk-grey\"},\n",
+       "      function _(l,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-logo {\\n  margin: 5px;\\n  position: relative;\\n  display: block;\\n  background-repeat: no-repeat;\\n}\\n.bk-root .bk-logo.bk-grey {\\n  filter: url(\\\"data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg'><filter id='grayscale'><feColorMatrix type='matrix' values='0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0'/></filter></svg>#grayscale\\\");\\n  /* Firefox 10+, Firefox on Android */\\n  filter: gray;\\n  /* IE6-9 */\\n  -webkit-filter: grayscale(100%);\\n  /* Chrome 19+, Safari 6+, Safari 6+ iOS */\\n}\\n.bk-root .bk-logo-small {\\n  width: 20px;\\n  height: 20px;\\n  background-image: url(data:image/png;base64,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);\\n}\\n.bk-root .bk-logo-notebook {\\n  display: inline-block;\\n  vertical-align: middle;\\n  margin-right: 5px;\\n}\\n\"},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});var s=this&&this.__rest||function(t,e){var i={};for(var s in t)Object.prototype.hasOwnProperty.call(t,s)&&e.indexOf(s)<0&&(i[s]=t[s]);if(null!=t&&\"function\"==typeof Object.getOwnPropertySymbols){var n=0;for(s=Object.getOwnPropertySymbols(t);n<s.length;n++)e.indexOf(s[n])<0&&Object.prototype.propertyIsEnumerable.call(t,s[n])&&(i[s[n]]=t[s[n]])}return i};const n=t(184),a=t(181),o=t(186),l=t(81),r=t(245),h=t(142),_=t(150),d=t(143),u=t(291),c=t(14),p=t(99),g=t(292),m=t(70),f=t(72),b=t(294),w=t(8),v=t(9),y=t(17),x=t(188),z=t(191),M=t(295),k=t(192),O=t(88);class j extends x.Layoutable{constructor(){super(...arguments),this.min_border={left:0,top:0,right:0,bottom:0}}_measure(t){t=new x.Sizeable(t).bounded_to(this.sizing.size);const e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left),s=this.right_panel.measure({width:0,height:t.height}),n=Math.max(s.width,this.min_border.right),a=this.top_panel.measure({width:t.width,height:0}),o=Math.max(a.height,this.min_border.top),l=this.bottom_panel.measure({width:t.width,height:0}),r=Math.max(l.height,this.min_border.bottom),h=new x.Sizeable(t).shrink_by({left:i,right:n,top:o,bottom:r}),_=this.center_panel.measure(h);return{width:i+_.width+n,height:o+_.height+r,inner:{left:i,right:n,top:o,bottom:r},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),s=this.right_panel.measure({width:0,height:t.height}),n=this.top_panel.measure({width:t.width,height:0}),a=this.bottom_panel.measure({width:t.width,height:0}),{left:o,top:l,right:r,bottom:h}=e;this.top_panel.set_geometry(new O.BBox({left:o,right:r,bottom:l,height:n.height})),this.bottom_panel.set_geometry(new O.BBox({left:o,right:r,top:h,height:a.height})),this.left_panel.set_geometry(new O.BBox({top:l,bottom:h,right:o,width:i.width})),this.right_panel.set_geometry(new O.BBox({top:l,bottom:h,left:r,width:s.width}))}}i.PlotLayout=j,j.__name__=\"PlotLayout\";class P extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new O.BBox,this._inner_bbox=new O.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(t=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||t||this.request_paint()}request_render(){this.request_paint()}request_paint(t){if(null!=t?this._invalidated_painters.add(t):this._invalidate_all=!0,!this.is_paused){const t=this.throttled_paint();this._ready=this._ready.then(()=>t)}}request_layout(){this._needs_layout=!0,this.request_paint()}reset(){\"standard\"==this.model.reset_policy&&(this.clear_state(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new u.Reset)}remove(){this.ui_event_bus.destroy(),p.remove_views(this.renderer_views),p.remove_views(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.state_changed=new c.Signal0(this,\"state_changed\"),this.lod_started=!1,this.visuals=new m.Visuals(this.model),this._initial_state_info={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.state={history:[],index:-1};const{hidpi:t,output_backend:e}=this.model;this.canvas=new a.Canvas({hidpi:t,output_backend:e}),this.frame=new n.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges),this.throttled_paint=b.throttle(()=>this.repaint(),1e3/60);const{title_location:i,title:s}=this.model;null!=i&&null!=s&&(this._title=s instanceof h.Title?s:new h.Title({text:s}));const{toolbar_location:o,toolbar:l}=this.model;null!=o&&null!=l&&(this._toolbar=new d.ToolbarPanel({toolbar:l}),l.toolbar_location=o),this.renderer_views=new Map,this.tool_views=new Map}async lazy_initialize(){this.canvas_view=await p.build_view(this.canvas,{parent:this}),this.ui_event_bus=new g.UIEvents(this,this.model.toolbar,this.canvas_view.events_el),await this.build_renderer_views(),await this.build_tool_views(),this.update_dataranges(),this.unpause(!0),f.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){this.layout=new j,this.layout.set_sizing(this.box_sizing());const{frame_width:t,frame_height:e}=this.model;this.layout.center_panel=this.frame,this.layout.center_panel.set_sizing(Object.assign(Object.assign({},null!=t?{width_policy:\"fixed\",width:t}:{width_policy:\"fit\"}),null!=e?{height_policy:\"fixed\",height:e}:{height_policy:\"fit\"}));const i=v.copy(this.model.above),s=v.copy(this.model.below),n=v.copy(this.model.left),a=v.copy(this.model.right),o=t=>{switch(t){case\"above\":return i;case\"below\":return s;case\"left\":return n;case\"right\":return a}},{title_location:l,title:r}=this.model;null!=l&&null!=r&&o(l).push(this._title);const{toolbar_location:_,toolbar:u}=this.model;if(null!=_&&null!=u){const t=o(_);let e=!0;if(this.model.toolbar_sticky)for(let i=0;i<t.length;i++){const s=t[i];if(s instanceof h.Title){t[i]=\"above\"==_||\"below\"==_?[s,this._toolbar]:[this._toolbar,s],e=!1;break}}e&&t.push(this._toolbar)}const c=(t,e)=>{const i=this.renderer_views.get(e);return i.layout=new M.SidePanel(t,i)},p=(t,e)=>{const i=\"above\"==t||\"below\"==t,s=[];for(const n of e)if(w.isArray(n)){const e=n.map(e=>{const s=c(t,e);if(e instanceof d.ToolbarPanel){const t=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[t]:\"min\"}))}return s});let a;i?(a=new k.Row(e),a.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(a=new k.Column(e),a.set_sizing({width_policy:\"min\",height_policy:\"max\"})),a.absolute=!0,s.push(a)}else s.push(c(t,n));return s},g=null!=this.model.min_border?this.model.min_border:0;this.layout.min_border={left:null!=this.model.min_border_left?this.model.min_border_left:g,top:null!=this.model.min_border_top?this.model.min_border_top:g,right:null!=this.model.min_border_right?this.model.min_border_right:g,bottom:null!=this.model.min_border_bottom?this.model.min_border_bottom:g};const m=new z.VStack,f=new z.VStack,b=new z.HStack,y=new z.HStack;m.children=v.reversed(p(\"above\",i)),f.children=p(\"below\",s),b.children=v.reversed(p(\"left\",n)),y.children=p(\"right\",a),m.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),f.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),b.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),y.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.top_panel=m,this.layout.bottom_panel=f,this.layout.left_panel=b,this.layout.right_panel=y}get axis_views(){const t=[];for(const[,e]of this.renderer_views)e instanceof _.AxisView&&t.push(e);return t}set_cursor(t=\"default\"){this.canvas_view.el.style.cursor=t}set_toolbar_visibility(t){for(const e of this.visibility_callbacks)e(t)}update_dataranges(){const t=new Map,e=new Map;let i=!1;for(const t of y.values(this.frame.x_ranges).concat(y.values(this.frame.y_ranges)))t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(i=!0);for(const[s,n]of this.renderer_views)if(n instanceof l.GlyphRendererView){const a=n.glyph.bounds();if(null!=a&&t.set(s,a),i){const t=n.glyph.log_bounds();null!=t&&e.set(s,t)}}let s=!1,n=!1;const{width:a,height:r}=this.frame.bbox;let h;!1!==this.model.match_aspect&&0!=a&&0!=r&&(h=1/this.model.aspect_scale*(a/r));for(const i of y.values(this.frame.x_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,0,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}for(const i of y.values(this.frame.y_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,1,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}if(s&&n){f.logger.warn(\"Follow enabled so bounds are unset.\");for(const t of y.values(this.frame.x_ranges))t.bounds=null;for(const t of y.values(this.frame.y_ranges))t.bounds=null}this.range_update_timestamp=Date.now()}map_to_screen(t,e,i=\"default\",s=\"default\"){return this.frame.map_to_screen(t,e,i,s)}push_state(t,e){const{history:i,index:s}=this.state,n=null!=i[s]?i[s].info:{},a=Object.assign(Object.assign(Object.assign({},this._initial_state_info),n),e);this.state.history=this.state.history.slice(0,this.state.index+1),this.state.history.push({type:t,info:a}),this.state.index=this.state.history.length-1,this.state_changed.emit()}clear_state(){this.state={history:[],index:-1},this.state_changed.emit()}can_undo(){return this.state.index>=0}can_redo(){return this.state.index<this.state.history.length-1}undo(){this.can_undo()&&(this.state.index-=1,this._do_state_change(this.state.index),this.state_changed.emit())}redo(){this.can_redo()&&(this.state.index+=1,this._do_state_change(this.state.index),this.state_changed.emit())}_do_state_change(t){const e=null!=this.state.history[t]?this.state.history[t].info:this._initial_state_info;null!=e.range&&this.update_range(e.range),null!=e.selection&&this.update_selection(e.selection)}get_selection(){const t=new Map;for(const e of this.model.renderers)if(e instanceof l.GlyphRenderer){const{selected:i}=e.data_source;t.set(e,i)}return t}update_selection(t){for(const e of this.model.renderers){if(!(e instanceof l.GlyphRenderer))continue;const i=e.data_source;if(null!=t){const s=t.get(e);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_update_ranges_together(t){let e=1;for(const[i,s]of t)e=Math.min(e,this._get_weight_to_constrain_interval(i,s));if(e<1)for(const[i,s]of t)s.start=e*s.start+(1-e)*i.start,s.end=e*s.end+(1-e)*i.end}_update_ranges_individually(t,e,i,s){let n=!1;for(const[s,a]of t){if(!i){const t=this._get_weight_to_constrain_interval(s,a);t<1&&(a.start=t*a.start+(1-t)*s.start,a.end=t*a.end+(1-t)*s.end)}if(null!=s.bounds&&\"auto\"!=s.bounds){const[t,o]=s.bounds,l=Math.abs(a.end-a.start);s.is_reversed?(null!=t&&t>=a.end&&(n=!0,a.end=t,(e||i)&&(a.start=t+l)),null!=o&&o<=a.start&&(n=!0,a.start=o,(e||i)&&(a.end=o-l))):(null!=t&&t>=a.start&&(n=!0,a.start=t,(e||i)&&(a.end=t+l)),null!=o&&o<=a.end&&(n=!0,a.end=o,(e||i)&&(a.start=o-l)))}}if(!(i&&n&&s))for(const[e,i]of t)e.have_updated_interactively=!0,e.start==i.start&&e.end==i.end||e.setv(i)}_get_weight_to_constrain_interval(t,e){const{min_interval:i}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[e,i]=t.bounds;if(null!=e&&null!=i){const t=Math.abs(i-e);s=null!=s?Math.min(s,t):t}}let n=1;if(null!=i||null!=s){const a=Math.abs(t.end-t.start),o=Math.abs(e.end-e.start);i>0&&o<i&&(n=(a-i)/(a-o)),s>0&&o>s&&(n=(s-a)/(o-a)),n=Math.max(0,Math.min(1,n))}return n}update_range(t,e=!1,i=!1,s=!0){this.pause();const{x_ranges:n,y_ranges:a}=this.frame;if(null==t){for(const t in n){n[t].reset()}for(const t in a){a[t].reset()}this.update_dataranges()}else{const o=[];for(const e in n){const i=n[e];o.push([i,t.xrs[e]])}for(const e in a){const i=a[e];o.push([i,t.yrs[e]])}i&&this._update_ranges_together(o),this._update_ranges_individually(o,e,i,s)}this.unpause()}reset_range(){this.update_range(null)}_invalidate_layout(){(()=>{for(const t of this.model.side_panels){if(this.renderer_views.get(t).layout.has_size_changed())return!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map(t=>this.renderer_views.get(t))}async build_renderer_views(){this.computed_renderers=[];const{above:t,below:e,left:i,right:s,center:n,renderers:a}=this.model;this.computed_renderers.push(...t,...e,...i,...s,...n,...a),null!=this._title&&this.computed_renderers.push(this._title),null!=this._toolbar&&this.computed_renderers.push(this._toolbar);for(const t of this.model.toolbar.tools)null!=t.overlay&&this.computed_renderers.push(t.overlay),this.computed_renderers.push(...t.synthetic_renderers);await p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const t=this.model.toolbar.tools;(await p.build_views(this.tool_views,t,{parent:this})).map(t=>this.ui_event_bus.register_tool(t))}connect_signals(){super.connect_signals();const{x_ranges:t,y_ranges:e}=this.frame;for(const e in t){const i=t[e];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}for(const t in e){const i=e[t];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}const{plot_width:i,plot_height:s}=this.model.properties;this.on_change([i,s],()=>this.invalidate_layout());const{above:n,below:a,left:o,right:l,center:r,renderers:h}=this.model.properties;this.on_change([n,a,o,l,r,h],async()=>await this.build_renderer_views()),this.connect(this.model.toolbar.properties.tools.change,async()=>{await this.build_renderer_views(),await this.build_tool_views()}),this.connect(this.model.change,()=>this.request_paint()),this.connect(this.model.reset,()=>this.reset())}set_initial_range(){let t=!0;const{x_ranges:e,y_ranges:i}=this.frame,s={},n={};for(const i in e){const{start:n,end:a}=e[i];if(null==n||null==a||isNaN(n+a)){t=!1;break}s[i]={start:n,end:a}}if(t)for(const e in i){const{start:s,end:a}=i[e];if(null==s||null==a||isNaN(s+a)){t=!1;break}n[e]={start:s,end:a}}t?(this._initial_state_info.range={xrs:s,yrs:n},f.logger.debug(\"initial ranges set\")):f.logger.warn(\"could not set initial ranges\")}has_finished(){if(!super.has_finished())return!1;for(const[,t]of this.renderer_views)if(!t.has_finished())return!1;return!0}after_layout(){if(super.after_layout(),this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame._width.value),inner_height:Math.round(this.frame._height.value),outer_width:Math.round(this.layout._width.value),outer_height:Math.round(this.layout._height.value)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:t,height:e}=this.layout.bbox;this.canvas_view.resize(t,e),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}this._inner_bbox.equals(this.frame.inner_bbox)||(this._inner_bbox=this.layout.inner_bbox,this._needs_paint=!0),this._needs_paint&&(this._needs_paint=!1,this.paint())}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){if(this.is_paused)return;f.logger.trace(\"PlotView.paint() for \"+this.model.id);const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e<this.model.lod_interval?setTimeout(()=>{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(this.model),this.request_paint()},this.model.lod_timeout):t.interactive_stop(this.model)}for(const[,t]of this.renderer_views)if(null==this.range_update_timestamp||t instanceof l.GlyphRendererView&&t.set_data_timestamp>this.range_update_timestamp){this.update_dataranges();break}let e=!1,i=!1;if(this._invalidate_all)e=!0,i=!0;else for(const t of this._invalidated_painters){const{level:s}=t.model;if(\"overlay\"!=s?e=!0:i=!0,e&&i)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const s=[this.frame._left.value,this.frame._top.value,this.frame._width.value,this.frame._height.value],{primary:n,overlays:a}=this.canvas_view;e&&(n.prepare(),this.canvas_view.prepare_webgl(s),this.canvas_view.clear_webgl(),this._map_hook(n.ctx,s),this._paint_empty(n.ctx,s),this._paint_outline(n.ctx,s),this._paint_levels(n.ctx,\"image\",s,!0),this._paint_levels(n.ctx,\"underlay\",s,!0),this._paint_levels(n.ctx,\"glyph\",s,!0),this._paint_levels(n.ctx,\"guide\",s,!1),this._paint_levels(n.ctx,\"annotation\",s,!1),n.finish()),i&&(a.prepare(),this._paint_levels(a.ctx,\"overlay\",s,!1),a.finish()),null==this._initial_state_info.range&&this.set_initial_range()}_paint_levels(t,e,i,s){for(const n of this.computed_renderers){if(n.level!=e)continue;const a=this.renderer_views.get(n);t.save(),(s||a.needs_clip)&&(t.beginPath(),t.rect(...i),t.clip()),a.render(),t.restore(),a.has_webgl&&(this.canvas_view.blit_webgl(t),this.canvas_view.clear_webgl())}}_map_hook(t,e){}_paint_empty(t,e){const[i,s,n,a]=[0,0,this.layout._width.value,this.layout._height.value],[o,l,r,h]=e;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(t),t.fillRect(i,s,n,a),t.clearRect(o,l,r,h)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(o,l,r,h))}_paint_outline(t,e){if(this.visuals.outline_line.doit){t.save(),this.visuals.outline_line.set_value(t);let[i,s,n,a]=e;i+n==this.layout._width.value&&(n-=1),s+a==this.layout._height.value&&(a-=1),t.strokeRect(i,s,n,a),t.restore()}}save(t){this.canvas_view.save(t)}serializable_state(){const t=super.serializable_state(),{children:e}=t,i=s(t,[\"children\"]),n=this.get_renderer_views().map(t=>t.serializable_state()).filter(t=>\"bbox\"in t);return Object.assign(Object.assign({},i),{children:[...e,...n]})}}i.PlotView=P,P.__name__=\"PlotView\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});var n=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var r=e.length-1;r>=0;r--)(_=e[r])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function _(e){return function(t){t.prototype.event_name=e}}class a{constructor(){this.origin=null}to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}_to_json(){return{model:this.origin}}}s.BokehEvent=a,a.__name__=\"BokehEvent\";let o=class extends a{};s.ButtonClick=o,o.__name__=\"ButtonClick\",s.ButtonClick=o=n([_(\"button_click\")],o);let r=class extends a{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=r,r.__name__=\"MenuItemClick\",s.MenuItemClick=r=n([_(\"menu_item_click\")],r);class c extends a{}s.UIEvent=c,c.__name__=\"UIEvent\";let i=class extends c{};s.LODStart=i,i.__name__=\"LODStart\",s.LODStart=i=n([_(\"lodstart\")],i);let l=class extends c{};s.LODEnd=l,l.__name__=\"LODEnd\",s.LODEnd=l=n([_(\"lodend\")],l);let u=class extends c{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=u,u.__name__=\"SelectionGeometry\",s.SelectionGeometry=u=n([_(\"selectiongeometry\")],u);let h=class extends c{};s.Reset=h,h.__name__=\"Reset\",s.Reset=h=n([_(\"reset\")],h);class d extends c{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=d,d.__name__=\"PointEvent\";let m=class extends d{constructor(e,t,s,n,_,a){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=m,m.__name__=\"Pan\",s.Pan=m=n([_(\"pan\")],m);let p=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=p,p.__name__=\"Pinch\",s.Pinch=p=n([_(\"pinch\")],p);let x=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=x,x.__name__=\"Rotate\",s.Rotate=x=n([_(\"rotate\")],x);let j=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=j,j.__name__=\"MouseWheel\",s.MouseWheel=j=n([_(\"wheel\")],j);let y=class extends d{};s.MouseMove=y,y.__name__=\"MouseMove\",s.MouseMove=y=n([_(\"mousemove\")],y);let P=class extends d{};s.MouseEnter=P,P.__name__=\"MouseEnter\",s.MouseEnter=P=n([_(\"mouseenter\")],P);let O=class extends d{};s.MouseLeave=O,O.__name__=\"MouseLeave\",s.MouseLeave=O=n([_(\"mouseleave\")],O);let b=class extends d{};s.Tap=b,b.__name__=\"Tap\",s.Tap=b=n([_(\"tap\")],b);let g=class extends d{};s.DoubleTap=g,g.__name__=\"DoubleTap\",s.DoubleTap=g=n([_(\"doubletap\")],g);let v=class extends d{};s.Press=v,v.__name__=\"Press\",s.Press=v=n([_(\"press\")],v);let E=class extends d{};s.PressUp=E,E.__name__=\"PressUp\",s.PressUp=E=n([_(\"pressup\")],E);let M=class extends d{};s.PanStart=M,M.__name__=\"PanStart\",s.PanStart=M=n([_(\"panstart\")],M);let f=class extends d{};s.PanEnd=f,f.__name__=\"PanEnd\",s.PanEnd=f=n([_(\"panend\")],f);let R=class extends d{};s.PinchStart=R,R.__name__=\"PinchStart\",s.PinchStart=R=n([_(\"pinchstart\")],R);let S=class extends d{};s.PinchEnd=S,S.__name__=\"PinchEnd\",s.PinchEnd=S=n([_(\"pinchend\")],S);let k=class extends d{};s.RotateStart=k,k.__name__=\"RotateStart\",s.RotateStart=k=n([_(\"rotatestart\")],k);let D=class extends d{};s.RotateEnd=D,D.__name__=\"RotateEnd\",s.RotateEnd=D=n([_(\"rotateend\")],D)},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importDefault(t(276)),r=t(14),a=t(72),h=t(68),_=t(293),o=t(9),c=t(8),l=t(28),p=n.__importStar(t(291)),u=t(281);class d{constructor(t,e,s){this.plot_view=t,this.toolbar=e,this.hit_area=s,this.pan_start=new r.Signal(this,\"pan:start\"),this.pan=new r.Signal(this,\"pan\"),this.pan_end=new r.Signal(this,\"pan:end\"),this.pinch_start=new r.Signal(this,\"pinch:start\"),this.pinch=new r.Signal(this,\"pinch\"),this.pinch_end=new r.Signal(this,\"pinch:end\"),this.rotate_start=new r.Signal(this,\"rotate:start\"),this.rotate=new r.Signal(this,\"rotate\"),this.rotate_end=new r.Signal(this,\"rotate:end\"),this.tap=new r.Signal(this,\"tap\"),this.doubletap=new r.Signal(this,\"doubletap\"),this.press=new r.Signal(this,\"press\"),this.pressup=new r.Signal(this,\"pressup\"),this.move_enter=new r.Signal(this,\"move:enter\"),this.move=new r.Signal(this,\"move\"),this.move_exit=new r.Signal(this,\"move:exit\"),this.scroll=new r.Signal(this,\"scroll\"),this.keydown=new r.Signal(this,\"keydown\"),this.keyup=new r.Signal(this,\"keyup\"),this.hammer=new i.default(this.hit_area,{touchAction:\"auto\",inputClass:i.default.TouchMouseInput}),this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",t=>this._mouse_move(t)),this.hit_area.addEventListener(\"mouseenter\",t=>this._mouse_enter(t)),this.hit_area.addEventListener(\"mouseleave\",t=>this._mouse_exit(t)),this.hit_area.addEventListener(\"contextmenu\",t=>this._context_menu(t)),this.hit_area.addEventListener(\"wheel\",t=>this._mouse_wheel(t)),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new u.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",t=>this._doubletap(t)),this.hammer.on(\"tap\",t=>this._tap(t)),this.hammer.on(\"press\",t=>this._press(t)),this.hammer.on(\"pressup\",t=>this._pressup(t)),this.hammer.get(\"pan\").set({direction:i.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",t=>this._pan_start(t)),this.hammer.on(\"pan\",t=>this._pan(t)),this.hammer.on(\"panend\",t=>this._pan_end(t)),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",t=>this._pinch_start(t)),this.hammer.on(\"pinch\",t=>this._pinch(t)),this.hammer.on(\"pinchend\",t=>this._pinch_end(t)),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",t=>this._rotate_start(t)),this.hammer.on(\"rotate\",t=>this._rotate(t)),this.hammer.on(\"rotateend\",t=>this._rotate_end(t))}register_tool(t){const e=t.model.event_type;null!=e&&(c.isString(e)?this._register_tool(t,e):e.forEach((e,s)=>this._register_tool(t,e,s<1)))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},h=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(\"unsupported event_type: \"+e)}s&&(null!=n._doubletap&&n.connect(this.doubletap,h(n._doubletap.bind(n))),null!=n._keydown&&n.connect(this.keydown,h(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,h(n._keyup.bind(n))),l.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(a.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e){const s=this.plot_view.get_renderer_views();for(const n of o.reversed(s)){const{level:s}=n.model;if((\"annotation\"==s||\"overlay\"==s)&&null!=n.interactive_hit&&n.interactive_hit(t,e))return n}return null}_hit_test_frame(t,e){return this.plot_view.frame.bbox.contains(t,e)}_hit_test_canvas(t,e){return this.plot_view.layout.bbox.contains(t,e)}_trigger(t,e,s){const n=this.toolbar.gestures,i=t.name.split(\":\")[0],r=this._hit_test_renderers(e.sx,e.sy),a=this._hit_test_canvas(e.sx,e.sy);switch(i){case\"move\":{const s=n[i].active;null!=s&&this.trigger(t,e,s.id);const h=this.toolbar.inspectors.filter(t=>t.active);let _=\"default\";null!=r?(_=r.cursor(e.sx,e.sy)||_,o.is_empty(h)||(t=this.move_exit)):this._hit_test_frame(e.sx,e.sy)&&(o.is_empty(h)||(_=\"crosshair\")),this.plot_view.set_cursor(_),this.plot_view.set_toolbar_visibility(a),h.map(s=>this.trigger(t,e,s.id));break}case\"tap\":{const{target:a}=s;if(null!=a&&a!=this.hit_area)return;null!=r&&null!=r.on_hit&&r.on_hit(e.sx,e.sy);const h=n[i].active;null!=h&&this.trigger(t,e,h.id);break}case\"scroll\":{const i=n[l.is_mobile?\"pinch\":\"scroll\"].active;null!=i&&(s.preventDefault(),s.stopPropagation(),this.trigger(t,e,i.id));break}case\"pan\":{const r=n[i].active;null!=r&&(s.preventDefault(),this.trigger(t,e,r.id));break}default:{const s=n[i].active;null!=s&&this.trigger(t,e,s.id)}}this._trigger_bokeh_event(e)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t){const e=(()=>{const e=this.plot_view.frame.xscales.default,s=this.plot_view.frame.yscales.default,{sx:n,sy:i}=t,r=e.invert(n),a=s.invert(i);switch(t.type){case\"wheel\":return new p.MouseWheel(n,i,r,a,t.delta);case\"mousemove\":return new p.MouseMove(n,i,r,a);case\"mouseenter\":return new p.MouseEnter(n,i,r,a);case\"mouseleave\":return new p.MouseLeave(n,i,r,a);case\"tap\":return new p.Tap(n,i,r,a);case\"doubletap\":return new p.DoubleTap(n,i,r,a);case\"press\":return new p.Press(n,i,r,a);case\"pressup\":return new p.PressUp(n,i,r,a);case\"pan\":return new p.Pan(n,i,r,a,t.deltaX,t.deltaY);case\"panstart\":return new p.PanStart(n,i,r,a);case\"panend\":return new p.PanEnd(n,i,r,a);case\"pinch\":return new p.Pinch(n,i,r,a,t.scale);case\"pinchstart\":return new p.PinchStart(n,i,r,a);case\"pinchend\":return new p.PinchEnd(n,i,r,a);case\"rotate\":return new p.Rotate(n,i,r,a,t.rotation);case\"rotatestart\":return new p.RotateStart(n,i,r,a);case\"rotateend\":return new p.RotateEnd(n,i,r,a);default:return}})();null!=e&&this.plot_view.model.trigger_event(e)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=h.offset(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:_.getDeltaY(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){const e=this._tap_event(t);this._trigger_bokeh_event(e),this.trigger(this.doubletap,e)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEvents=d,d.__name__=\"UIEvents\"},\n",
+       "      function _(e,t,n){\n",
+       "      /*!\n",
+       "           * jQuery Mousewheel 3.1.13\n",
+       "           *\n",
+       "           * Copyright jQuery Foundation and other contributors\n",
+       "           * Released under the MIT license\n",
+       "           * http://jquery.org/license\n",
+       "           */\n",
+       "      function r(e){const t=getComputedStyle(e).fontSize;return null!=t?parseInt(t,10):null}Object.defineProperty(n,\"__esModule\",{value:!0}),n.getDeltaY=function(e){let t=-e.deltaY;if(e.target instanceof HTMLElement)switch(e.deltaMode){case e.DOM_DELTA_LINE:t*=r((n=e.target).offsetParent||document.body)||r(n)||16;break;case e.DOM_DELTA_PAGE:t*=function(e){return e.clientHeight}(e.target)}var n;return t}},\n",
+       "      function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=(\"undefined\"!=typeof window?window.requestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.webkitRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.mozRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.msRequestAnimationFrame:void 0)||function(n){return n(Date.now()),-1};o.throttle=function(n,e){let o=null,i=0,u=!1;return function(){return new Promise((d,w)=>{const r=function(){i=Date.now(),o=null,u=!1;try{n(),d()}catch(n){w(n)}},a=Date.now(),f=e-(a-i);f<=0&&!u?(null!=o&&clearTimeout(o),u=!0,t(r)):o||u?d():o=setTimeout(()=>t(r),f)})}}},\n",
+       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const l=i(189),a=i(190),r=i(8),o=Math.PI/2,h=\"left\",s=\"center\",n={above:{parallel:0,normal:-o,horizontal:0,vertical:-o},below:{parallel:0,normal:o,horizontal:0,vertical:o},left:{parallel:-o,normal:0,horizontal:0,vertical:-o},right:{parallel:o,normal:0,horizontal:0,vertical:o}},d={above:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"alphabetic\",vertical:\"middle\"},below:{justified:\"bottom\",parallel:\"hanging\",normal:\"middle\",horizontal:\"hanging\",vertical:\"middle\"},left:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"},right:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"}},_={above:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},below:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},left:{justified:s,parallel:s,normal:\"right\",horizontal:\"right\",vertical:s},right:{justified:s,parallel:s,normal:h,horizontal:h,vertical:s}},c={above:\"right\",below:h,left:\"right\",right:h},m={above:h,below:\"right\",left:\"right\",right:h};class g extends a.ContentLayoutable{constructor(i,t){switch(super(),this.side=i,this.obj=t,this.side){case\"above\":this._dim=0,this._normals=[0,-1];break;case\"below\":this._dim=0,this._normals=[0,1];break;case\"left\":this._dim=1,this._normals=[-1,0];break;case\"right\":this._dim=1,this._normals=[1,0]}this.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){return new l.Sizeable(this.get_oriented_size())}get_oriented_size(){const{width:i,height:t}=this.obj.get_size();return!this.obj.rotate||this.is_horizontal?{width:i,height:t}:{width:t,height:i}}has_size_changed(){const{width:i,height:t}=this.get_oriented_size();return this.is_horizontal?this.bbox.height!=t:this.bbox.width!=i}get dimension(){return this._dim}get normals(){return this._normals}get is_horizontal(){return 0==this._dim}get is_vertical(){return 1==this._dim}apply_label_text_heuristics(i,t){const e=this.side;let l,a;r.isString(t)?(l=d[e][t],a=_[e][t]):t<0?(l=\"middle\",a=c[e]):(l=\"middle\",a=m[e]),i.textBaseline=l,i.textAlign=a}get_label_angle_heuristic(i){return n[this.side][i]}}e.SidePanel=g,g.__name__=\"SidePanel\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(14),o=t(68),a=t(32),n=t(290),p=new i.Signal0({},\"gmaps_ready\");class l extends n.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){!function(t){window._bokeh_gmaps_callback=()=>p.emit();const e=document.createElement(\"script\");e.type=\"text/javascript\",e.src=`https://maps.googleapis.com/maps/api/js?v=3.36&key=${t}&callback=_bokeh_gmaps_callback`,document.body.appendChild(e)}(atob(this.model.api_key))}p.connect(()=>this.request_render())}this.unpause()}remove(){o.remove(this.map_el),super.remove()}update_range(t){if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(t.sdx||0,t.sdy||0),super.update_range(t);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t);const e=t.factor<0?-1:1,s=this.map.getZoom(),i=s+e;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<0&&this.map.setZoom(s)}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=o.div({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",()=>this._set_bokeh_ranges()),t.event.addListener(this.map,\"bounds_changed\",()=>this._set_bokeh_ranges()),t.event.addListenerOnce(this.map,\"tilesloaded\",()=>this._render_finished()),this.connect(this.model.properties.map_options.change,()=>this._update_options()),this.connect(this.model.map_options.properties.styles.change,()=>this._update_styles()),this.connect(this.model.map_options.properties.lat.change,()=>this._update_center(\"lat\")),this.connect(this.model.map_options.properties.lng.change,()=>this._update_center(\"lng\")),this.connect(this.model.map_options.properties.zoom.change,()=>this._update_zoom()),this.connect(this.model.map_options.properties.map_type.change,()=>this._update_map_type()),this.connect(this.model.map_options.properties.scale_control.change,()=>this._update_scale_control()),this.connect(this.model.map_options.properties.tilt.change,()=>this._update_tilt())}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,i]=this._get_latlon_bounds(),[o,n]=a.wgs84_mercator.forward([t,s]),[p,l]=a.wgs84_mercator.forward([e,i]);return[o,p,n,l]}_set_bokeh_ranges(){const[t,e,s,i]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:i})}_update_center(t){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,i,o]=e;this.map_el.style.top=s+\"px\",this.map_el.style.left=t+\"px\",this.map_el.style.width=i+\"px\",this.map_el.style.height=o+\"px\"}}_paint_empty(t,e){const s=this.layout._width.value,i=this.layout._height.value,[o,a,n,p]=e;t.clearRect(0,0,s,i),t.beginPath(),t.moveTo(0,0),t.lineTo(0,i),t.lineTo(s,i),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(o,a),t.lineTo(o+n,a),t.lineTo(o+n,a+p),t.lineTo(o,a+p),t.lineTo(o,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=this.model.border_fill_color,t.fill())}}s.GMapPlotView=l,l.__name__=\"GMapPlotView\"},\n",
+       "      function _(a,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});var g=a(187);n.DataRange=g.DataRange;var R=a(186);n.DataRange1d=R.DataRange1d;var r=a(90);n.FactorRange=r.FactorRange;var t=a(91);n.Range=t.Range;var d=a(131);n.Range1d=d.Range1d},\n",
+       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var n=e(81);d.GlyphRenderer=n.GlyphRenderer;var R=e(100);d.GraphRenderer=R.GraphRenderer;var a=e(151);d.GuideRenderer=a.GuideRenderer;var G=e(65);d.Renderer=G.Renderer},\n",
+       "      function _(a,e,c){Object.defineProperty(c,\"__esModule\",{value:!0});var l=a(185);c.CategoricalScale=l.CategoricalScale;var o=a(121);c.ContinuousScale=o.ContinuousScale;var r=a(120);c.LinearScale=r.LinearScale;var S=a(130);c.LogScale=S.LogScale;var n=a(122);c.Scale=n.Scale},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(1).__exportStar(e(102),o);var n=e(79);o.Selection=n.Selection},\n",
+       "      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var o=a(302);r.ServerSentDataSource=o.ServerSentDataSource;var S=a(304);r.AjaxDataSource=S.AjaxDataSource;var u=a(76);r.ColumnDataSource=u.ColumnDataSource;var t=a(77);r.ColumnarDataSource=t.ColumnarDataSource;var c=a(98);r.CDSView=c.CDSView;var D=a(78);r.DataSource=D.DataSource;var v=a(305);r.GeoJSONDataSource=v.GeoJSONDataSource;var n=a(303);r.WebDataSource=n.WebDataSource},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(303);class s extends a.WebDataSource{constructor(e){super(e),this.initialized=!1}destroy(){super.destroy()}setup(){if(!this.initialized){this.initialized=!0,new EventSource(this.data_url).onmessage=e=>{this.load_data(JSON.parse(e.data),this.mode,this.max_size)}}}}i.ServerSentDataSource=s,s.__name__=\"ServerSentDataSource\"},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(1),s=e(76),i=r.__importStar(e(18));class n extends s.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:r}=this;let s;switch(s=null!=r?r.execute(this,{response:e}):e,t){case\"replace\":this.data=s;break;case\"append\":{const e=this.data;for(const t of this.columns()){const r=Array.from(e[t]),i=Array.from(s[t]);s[t]=r.concat(i).slice(-a)}this.data=s;break}}}static init_WebDataSource(){this.define({mode:[i.UpdateMode,\"replace\"],max_size:[i.Number],adapter:[i.Any,null],data_url:[i.String]})}}a.WebDataSource=n,n.__name__=\"WebDataSource\",n.init_WebDataSource()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(303),r=t(72),o=s.__importStar(t(18));class n extends a.WebDataSource{constructor(t){super(t),this.initialized=!1}static init_AjaxDataSource(){this.define({polling_interval:[o.Number],content_type:[o.String,\"application/json\"],http_headers:[o.Any,{}],method:[o.HTTPMethod,\"POST\"],if_modified:[o.Boolean,!1]})}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=0,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",()=>this.do_load(s,t,e)),s.addEventListener(\"error\",()=>this.do_error(s)),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const i in e){const s=e[i];t.setRequestHeader(i,s)}return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){r.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=n,n.__name__=\"AjaxDataSource\",n.init_AjaxDataSource()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1),n=e(77),s=e(72),a=r.__importStar(e(18)),i=e(9);function l(e){return null!=e?e:NaN}class c extends n.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define({geojson:[a.Any]}),this.internal({data:[a.Any,{}]})}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,()=>this._update_data())}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return i.range(0,e).map(e=>[])}_get_new_nan_array(e){return i.range(0,e).map(e=>NaN)}_add_properties(e,t,o,r){const n=e.properties||{};for(const e in n)t.hasOwnProperty(e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=l(n[e])}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=l(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"Polygon\":{e.coordinates.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPoint\":s.logger.warn(\"MultiPoint not supported in Bokeh\");break;case\"MultiLineString\":{const n=e.coordinates.reduce(r);for(let e=0;e<n.length;e++){const[r,s,a]=n[e];t.xs[o][e]=r,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPolygon\":{const n=[];for(const t of e.coordinates)t.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const a=n.reduce(r);for(let e=0;e<a.length;e++){const[r,n,s]=a[e];t.xs[o][e]=r,t.ys[o][e]=n,t.zs[o][e]=l(s)}break}default:throw new Error(\"Invalid GeoJSON geometry type: \"+e.type)}}geojson_to_column_data(){const e=JSON.parse(this.geojson);let t;switch(e.type){case\"GeometryCollection\":if(null==e.geometries)throw new Error(\"No geometries found in GeometryCollection\");if(0===e.geometries.length)throw new Error(\"geojson.geometries must have one or more items\");t=e.geometries;break;case\"FeatureCollection\":if(null==e.features)throw new Error(\"No features found in FeaturesCollection\");if(0==e.features.length)throw new Error(\"geojson.features must have one or more items\");t=e.features;break;default:throw new Error(\"Bokeh only supports type GeometryCollection and FeatureCollection at top level\")}let o=0;for(const e of t){const t=\"Feature\"===e.type?e.geometry:e;\"GeometryCollection\"==t.type?o+=t.geometries.length:o+=1}const r={x:this._get_new_nan_array(o),y:this._get_new_nan_array(o),z:this._get_new_nan_array(o),xs:this._get_new_list_array(o),ys:this._get_new_list_array(o),zs:this._get_new_list_array(o)};let n=0;for(const e of t){const t=\"Feature\"==e.type?e.geometry:e;if(\"GeometryCollection\"==t.type)for(const s of t.geometries)this._add_geometry(s,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1;else this._add_geometry(t,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1}return r}}o.GeoJSONDataSource=c,c.__name__=\"GeoJSONDataSource\",c.init_GeoJSONDataSource()},\n",
+       "      function _(e,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});var c=e(110);i.AdaptiveTicker=c.AdaptiveTicker;var a=e(109);i.BasicTicker=a.BasicTicker;var k=e(153);i.CategoricalTicker=k.CategoricalTicker;var T=e(164);i.CompositeTicker=T.CompositeTicker;var t=e(111);i.ContinuousTicker=t.ContinuousTicker;var o=e(163);i.DatetimeTicker=o.DatetimeTicker;var v=e(165);i.DaysTicker=v.DaysTicker;var n=e(307);i.FixedTicker=n.FixedTicker;var s=e(172);i.LogTicker=s.LogTicker;var l=e(175);i.MercatorTicker=l.MercatorTicker;var u=e(168);i.MonthsTicker=u.MonthsTicker;var d=e(166);i.SingleIntervalTicker=d.SingleIntervalTicker;var g=e(112);i.Ticker=g.Ticker;var C=e(169);i.YearsTicker=C.YearsTicker},\n",
+       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),n=i(111),s=r.__importStar(i(18));class _ extends n.ContinuousTicker{constructor(i){super(i),this.min_interval=0,this.max_interval=0}static init_FixedTicker(){this.define({ticks:[s.Array,[]],minor_ticks:[s.Array,[]]})}get_ticks_no_defaults(i,t,e,r){return{major:this.ticks,minor:this.minor_ticks}}get_interval(i,t,e){return 0}}e.FixedTicker=_,_.__name__=\"FixedTicker\",_.init_FixedTicker()},\n",
+       "      function _(e,r,o){Object.defineProperty(o,\"__esModule\",{value:!0});var T=e(309);o.BBoxTileSource=T.BBoxTileSource;var c=e(310);o.MercatorTileSource=c.MercatorTileSource;var i=e(313);o.QUADKEYTileSource=i.QUADKEYTileSource;var l=e(314);o.TileRenderer=l.TileRenderer;var S=e(311);o.TileSource=S.TileSource;var u=e(318);o.TMSTileSource=u.TMSTileSource;var a=e(315);o.WMTSTileSource=a.WMTSTileSource},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1),i=e(310),l=o.__importStar(e(18));class _ extends i.MercatorTileSource{constructor(e){super(e)}static init_BBoxTileSource(){this.define({use_latlon:[l.Boolean,!1]})}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let i,l,_,n;return this.use_latlon?[l,n,i,_]=this.get_tile_geographic_bounds(e,t,r):[l,n,i,_]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",l.toString()).replace(\"{YMIN}\",n.toString()).replace(\"{XMAX}\",i.toString()).replace(\"{YMAX}\",_.toString())}}r.BBoxTileSource=_,_.__name__=\"BBoxTileSource\",_.init_BBoxTileSource()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const _=t(1),s=t(311),r=_.__importStar(t(18)),o=t(9),n=t(312);class l extends s.TileSource{constructor(t){super(t)}static init_MercatorTileSource(){this.define({snap_to_zoom:[r.Boolean,!1],wrap_around:[r.Boolean,!0]}),this.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})}initialize(){super.initialize(),this._resolutions=o.range(this.min_zoom,this.max_zoom+1).map(t=>this.get_resolution(t))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)<Math.abs(t-r)?e:t}));return this._resolutions.indexOf(o)}snap_to_zoom_level(t,e,i,_){const[s,r,o,n]=t,l=this._resolutions[_];let u=i*l,a=e*l;if(!this.snap_to_zoom){const t=(o-s)/u,e=(n-r)/a;t>e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);return i=0===i?i:i-1,[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<<i)-e]}meters_to_tile(t,e,i){const[_,s]=this.meters_to_pixels(t,e,i);return this.pixels_to_tile(_,s)}get_tile_meter_bounds(t,e,i){const[_,s]=this.pixels_to_meters(t*this.tile_size,e*this.tile_size,i),[r,o]=this.pixels_to_meters((t+1)*this.tile_size,(e+1)*this.tile_size,i);return[_,s,r,o]}get_tile_geographic_bounds(t,e,i){const _=this.get_tile_meter_bounds(t,e,i),[s,r,o,l]=n.meters_extent_to_geographic(_);return[s,r,o,l]}get_tiles_by_extent(t,e,i=1){const[_,s,r,o]=t;let[n,l]=this.meters_to_tile(_,s,e),[u,a]=this.meters_to_tile(r,o,e);n-=i,l-=i,u+=i,a+=i;const h=[];for(let t=a;t>=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<<s-1;switch(t.charAt(_-s)){case\"0\":continue;case\"1\":e|=r;break;case\"2\":i|=r;break;case\"3\":e|=r,i|=r;break;default:throw new TypeError(\"Invalid Quadkey: \"+t)}}return[e,i,_]}tile_xyz_to_quadkey(t,e,i){let _=\"\";for(let s=i;s>0;s--){const i=1<<s-1;let r=0;0!=(t&i)&&(r+=1),0!=(e&i)&&(r+=2),_+=r.toString()}return _}children_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=[];for(let t=0;t<=3;t++){const[e,i,r]=this.quadkey_to_tile_xyz(_+t.toString()),o=this.get_tile_meter_bounds(e,i,r);s.push([e,i,r,o])}return s}get_closest_parent_by_tile_xyz(t,e,i){const _=this.calculate_world_x_by_tile_xyz(t,e,i);[t,e,i]=this.normalize_xyz(t,e,i);let s=this.tile_xyz_to_quadkey(t,e,i);for(;s.length>0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),s=e(17),l=i.__importStar(e(18));class a extends n.Model{constructor(e){super(e)}static init_TileSource(){this.define({url:[l.String,\"\"],tile_size:[l.Number,256],max_zoom:[l.Number,30],min_zoom:[l.Number,0],extra_url_vars:[l.Any,{}],attribution:[l.String,\"\"],x_origin_offset:[l.Number],y_origin_offset:[l.Number],initial_resolution:[l.Number]})}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._clear_cache())}string_lookup_replace(e,t){let r=e;for(const[e,i]of s.entries(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map(e=>parseInt(e));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,s]=t,l=(n-r)/2+r,a=(s-i)/2+i;e.sort((function(e,t){return Math.sqrt((l-e[0])**2+(a-e[1])**2)-Math.sqrt((l-t[0])**2+(a-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=a,a.__name__=\"TileSource\",a.init_TileSource()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(32);function o(e,t){return n.wgs84_mercator.forward([e,t])}function c(e,t){return n.wgs84_mercator.inverse([e,t])}r.geographic_to_meters=o,r.meters_to_geographic=c,r.geographic_extent_to_meters=function(e){const[t,r,n,c]=e,[_,i]=o(t,r),[s,u]=o(n,c);return[_,i,s,u]},r.meters_extent_to_geographic=function(e){const[t,r,n,o]=e,[_,i]=c(t,r),[s,u]=c(n,o);return[_,i,s,u]}},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const _=e(310);class s extends _.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const _=this.string_lookup_replace(this.url,this.extra_url_vars),[s,o,u]=this.tms_to_wmts(e,t,r),c=this.tile_xyz_to_quadkey(s,o,u);return _.replace(\"{Q}\",c)}}r.QUADKEYTileSource=s,s.__name__=\"QUADKEYTileSource\"},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),_=e(315),a=e(82),n=e(131),r=e(68),h=s.__importStar(e(18)),l=e(224),o=e(9),d=e(8),m=e(80),c=e(76),u=e(316),p=s.__importDefault(e(317));class g extends a.DataRendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.tile_source.change,()=>this.request_render())}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&r.removeElement(this.attribution_el);const{attribution:e}=this.model.tile_source;if(d.isString(e)&&e.length>0){const{layout:t,frame:i}=this.plot_view,s=t._width.value-i._right.value,_=t._height.value-i._bottom.value,a=i._width.value;this.attribution_el=r.div({class:u.bk_tile_attribution,style:{position:\"absolute\",right:s+\"px\",bottom:_+\"px\",\"max-width\":a-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=e,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const e=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value),t=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value,e);this.x_range.start=t[0],this.y_range.start=t[1],this.x_range.end=t[2],this.y_range.end=t[3],this.x_range instanceof n.Range1d&&(this.x_range.reset_start=t[0],this.x_range.reset_end=t[2]),this.y_range instanceof n.Range1d&&(this.y_range.reset_start=t[1],this.y_range.reset_end=t[3]),this._update_attribution()}_create_tile(e,t,i,s,_=!1){const[a,n,r]=this.model.tile_source.normalize_xyz(e,t,i),h={img:void 0,tile_coords:[e,t,i],normalized_coords:[a,n,r],quadkey:this.model.tile_source.tile_xyz_to_quadkey(e,t,i),cache_key:this.model.tile_source.tile_xyz_to_key(e,t,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},o=this.model.tile_source.get_image_url(a,n,r);new l.ImageLoader(o,{loaded:e=>{Object.assign(h,{img:e,loaded:!0}),_?(h.finished=!0,this.notify_finished()):this.request_render()},failed(){h.finished=!0}}),this.model.tile_source.tiles.set(h.cache_key,h),this._tiles.push(h)}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame._height.value||this._last_width!==this.map_frame._width.value){const e=this.get_extent(),t=this.model.tile_source.get_level_by_extent(e,this.map_frame._height.value,this.map_frame._width.value),i=this.model.tile_source.snap_to_zoom_level(e,this.map_frame._height.value,this.map_frame._width.value,t);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame._height.value,this._last_width=this.map_frame._width.value}}has_finished(){if(!super.has_finished())return!1;if(0===this._tiles.length)return!1;for(const e of this._tiles)if(!e.finished)return!1;return!0}render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(e){const t=this.model.tile_source.tiles.get(e);if(null!=t&&t.loaded){const[[e],[i]]=this.plot_view.map_to_screen([t.bounds[0]],[t.bounds[3]]),[[s],[_]]=this.plot_view.map_to_screen([t.bounds[2]],[t.bounds[1]]),a=s-e,n=_-i,r=e,h=i,l=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(t.img,r,h,a,n),this.map_canvas.setImageSmoothingEnabled(l),t.finished=!0}}_set_rect(){const e=this.plot_model.properties.outline_line_width.value(),t=this.map_frame._left.value+e/2,i=this.map_frame._top.value+e/2,s=this.map_frame._width.value-e,_=this.map_frame._height.value-e;this.map_canvas.rect(t,i,s,_),this.map_canvas.clip()}_render_tiles(e){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const t of e)this._draw_tile(t);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:e}=this.model,t=this.get_extent(),i=this.map_frame._height.value,s=this.map_frame._width.value,_=this.model.tile_source.get_level_by_extent(t,i,s),a=this.model.tile_source.get_tiles_by_extent(t,_);for(let t=0,i=Math.min(10,a.length);t<i;t++){const[i,s,_]=a[t],n=this.model.tile_source.children_by_tile_xyz(i,s,_);for(const t of n){const[i,s,_,a]=t;e.tiles.has(e.tile_xyz_to_key(i,s,_))||this._create_tile(i,s,_,a,!0)}}}_fetch_tiles(e){for(const t of e){const[e,i,s,_]=t;this._create_tile(e,i,s,_)}}_update(){const{tile_source:e}=this.model,{min_zoom:t}=e,{max_zoom:i}=e;let s=this.get_extent();const _=this.extent[2]-this.extent[0]<s[2]-s[0],a=this.map_frame._height.value,n=this.map_frame._width.value;let r=e.get_level_by_extent(s,a,n),h=!1;r<t?(s=this.extent,r=t,h=!0):r>i&&(s=this.extent,r=i,h=!0),h&&(this.x_range.setv({x_range:{start:s[0],end:s[2]}}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const l=e.get_tiles_by_extent(s,r),d=[],m=[],c=[],u=[];for(const t of l){const[i,s,a]=t,n=e.tile_xyz_to_key(i,s,a),r=e.tiles.get(n);if(null!=r&&r.loaded)m.push(n);else if(this.model.render_parents){const[t,n,r]=e.get_closest_parent_by_tile_xyz(i,s,a),h=e.tile_xyz_to_key(t,n,r),l=e.tiles.get(h);if(null!=l&&l.loaded&&!o.includes(c,h)&&c.push(h),_){const t=e.children_by_tile_xyz(i,s,a);for(const[i,s,_]of t){const t=e.tile_xyz_to_key(i,s,_);e.tiles.has(t)&&u.push(t)}}}null==r&&d.push(t)}this._render_tiles(c),this._render_tiles(u),this._render_tiles(m),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout(()=>this._fetch_tiles(d),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class f extends a.DataRenderer{constructor(e){super(e),this._selection_manager=new m.SelectionManager({source:new c.ColumnDataSource})}static init_TileRenderer(){this.prototype.default_view=g,this.define({alpha:[h.Number,1],smoothing:[h.Boolean,!0],tile_source:[h.Instance,()=>new _.WMTSTileSource],render_parents:[h.Boolean,!0]})}get_selection_manager(){return this._selection_manager}}i.TileRenderer=f,f.__name__=\"TileRenderer\",f.init_TileRenderer()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(310);class s extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,_]=this.tms_to_wmts(e,t,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",_.toString())}}r.WMTSTileSource=s,s.__name__=\"WMTSTileSource\"},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.bk_tile_attribution=\"bk-tile-attribution\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default=\"\\n.bk-root .bk-tile-attribution a {\\n  color: black;\\n}\\n\"},\n",
+       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(310);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=c,c.__name__=\"TMSTileSource\"},\n",
+       "      function _(e,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});var t=e(320);a.CanvasTexture=t.CanvasTexture;var u=e(322);a.ImageURLTexture=u.ImageURLTexture;var v=e(321);a.Texture=v.Texture},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),c=t(321),s=r.__importStar(t(18)),i=t(24);class a extends c.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define({code:[s.String]})}get func(){const t=i.use_strict(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){return r=>{const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),r.createPattern(c,this.repetition)}}}n.CanvasTexture=a,a.__name__=\"CanvasTexture\",a.init_CanvasTexture()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(71),o=r.__importStar(e(18));class _ extends n.Model{constructor(e){super(e)}static init_Texture(){this.define({repetition:[o.TextureRepetition,\"repeat\"]})}onload(e){e()}}i.Texture=_,_.__name__=\"Texture\",_.init_Texture()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),a=e(321),n=r.__importStar(e(18)),s=e(224);class o extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define({url:[n.String]})}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){return e=>this._loader.finished?e.createPattern(this._loader.image,this.repetition):null}onload(e){this._loader.promise.then(()=>e())}}i.ImageURLTexture=o,o.__name__=\"ImageURLTexture\",o.init_ImageURLTexture()},\n",
+       "      function _(o,l,T){Object.defineProperty(T,\"__esModule\",{value:!0});var a=o(285);T.ActionTool=a.ActionTool;var r=o(324);T.CustomAction=r.CustomAction;var e=o(286);T.HelpTool=e.HelpTool;var v=o(325);T.RedoTool=v.RedoTool;var t=o(326);T.ResetTool=t.ResetTool;var n=o(327);T.SaveTool=n.SaveTool;var s=o(328);T.UndoTool=s.UndoTool;var i=o(329);T.ZoomInTool=i.ZoomInTool;var P=o(331);T.ZoomOutTool=P.ZoomOutTool;var c=o(275);T.ButtonTool=c.ButtonTool;var d=o(332);T.EditTool=d.EditTool;var u=o(333);T.BoxEditTool=u.BoxEditTool;var y=o(334);T.FreehandDrawTool=y.FreehandDrawTool;var m=o(335);T.PointDrawTool=m.PointDrawTool;var x=o(336);T.PolyDrawTool=x.PolyDrawTool;var B=o(337);T.PolyTool=B.PolyTool;var S=o(338);T.PolyEditTool=S.PolyEditTool;var b=o(339);T.BoxSelectTool=b.BoxSelectTool;var h=o(342);T.BoxZoomTool=h.BoxZoomTool;var E=o(284);T.GestureTool=E.GestureTool;var Z=o(343);T.LassoSelectTool=Z.LassoSelectTool;var p=o(344);T.LineEditTool=p.LineEditTool;var w=o(346);T.PanTool=w.PanTool;var C=o(347);T.PolySelectTool=C.PolySelectTool;var D=o(348);T.RangeTool=D.RangeTool;var H=o(340);T.SelectTool=H.SelectTool;var R=o(349);T.TapTool=R.TapTool;var A=o(350);T.WheelPanTool=A.WheelPanTool;var I=o(351);T.WheelZoomTool=I.WheelZoomTool;var L=o(352);T.CrosshairTool=L.CrosshairTool;var W=o(353);T.CustomJSHover=W.CustomJSHover;var O=o(354);T.HoverTool=O.HoverTool;var _=o(274);T.InspectTool=_.InspectTool;var f=o(277);T.Tool=f.Tool;var g=o(355);T.ToolProxy=g.ToolProxy;var F=o(273);T.Toolbar=F.Toolbar;var G=o(283);T.ToolbarBase=G.ToolbarBase;var J=o(357);T.ProxyToolbar=J.ProxyToolbar;var U=o(357);T.ToolbarBox=U.ToolbarBox},\n",
+       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(285),e=n.__importStar(t(18)),c=t(278);class _ extends s.ActionToolButtonView{css_classes(){return super.css_classes().concat(c.bk_toolbar_button_custom_action)}}i.CustomActionButtonView=_,_.__name__=\"CustomActionButtonView\";class l extends s.ActionToolView{doit(){null!=this.model.callback&&this.model.callback.execute(this.model)}}i.CustomActionView=l,l.__name__=\"CustomActionView\";class u extends s.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=_}static init_CustomAction(){this.prototype.default_view=l,this.define({action_tooltip:[e.String,\"Perform a Custom Action\"],callback:[e.Any],icon:[e.String]})}get tooltip(){return this.action_tooltip}}i.CustomAction=u,u.__name__=\"CustomAction\",u.init_CustomAction()},\n",
+       "      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(285),s=o(287);class n extends i.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_redo())}doit(){this.plot_view.redo()}}t.RedoToolView=n,n.__name__=\"RedoToolView\";class _ extends i.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=s.bk_tool_icon_redo}static init_RedoTool(){this.prototype.default_view=n,this.override({disabled:!0}),this.register_alias(\"redo\",()=>new _)}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(285),i=e(287);class _ extends s.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=_,_.__name__=\"ResetToolView\";class l extends s.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=i.bk_tool_icon_reset}static init_ResetTool(){this.prototype.default_view=_,this.register_alias(\"reset\",()=>new l)}}o.ResetTool=l,l.__name__=\"ResetTool\",l.init_ResetTool()},\n",
+       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(285),s=e(287);class _ extends i.ActionToolView{doit(){this.plot_view.save(\"bokeh_plot\")}}t.SaveToolView=_,_.__name__=\"SaveToolView\";class a extends i.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=s.bk_tool_icon_save}static init_SaveTool(){this.prototype.default_view=_,this.register_alias(\"save\",()=>new a)}}t.SaveTool=a,a.__name__=\"SaveTool\",a.init_SaveTool()},\n",
+       "      function _(o,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=o(285),i=o(287);class s extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_undo())}doit(){this.plot_view.undo()}}e.UndoToolView=s,s.__name__=\"UndoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=i.bk_tool_icon_undo}static init_UndoTool(){this.prototype.default_view=s,this.override({disabled:!0}),this.register_alias(\"undo\",()=>new _)}}e.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n",
+       "      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),n=o(285),s=o(330),_=e.__importStar(o(18)),m=o(287);class l extends n.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,n=s.scale_range(o,this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:n}),this.plot_view.update_range(n,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomInToolView=l,l.__name__=\"ZoomInToolView\";class h extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom In\",this.icon=m.bk_tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_in\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_in\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_in\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomInTool=h,h.__name__=\"ZoomInTool\",h.init_ZoomInTool()},\n",
+       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=n(10);function r(n,t,e){const[o,r]=[n.start,n.end],c=null!=e?e:(r+o)/2;return[o-(o-c)*t,r-(r-c)*t]}function c(n,[t,e]){const o={};for(const r in n){const c=n[r],[s,l]=c.r_invert(t,e);o[r]={start:s,end:l}}return o}e.scale_highlow=r,e.get_info=c,e.scale_range=function(n,t,e=!0,s=!0,l){t=o.clamp(t,-.9,.9);const a=e?t:0,[u,i]=r(n.bbox.h_range,a,null!=l?l.x:void 0),_=c(n.xscales,[u,i]),f=s?t:0,[d,b]=r(n.bbox.v_range,f,null!=l?l.y:void 0);return{xrs:_,yrs:c(n.yscales,[d,b]),factor:t}}},\n",
+       "      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),s=o(285),n=o(330),_=e.__importStar(o(18)),m=o(287);class l extends s.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,s=n.scale_range(o,-this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:s}),this.plot_view.update_range(s,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomOutToolView=l,l.__name__=\"ZoomOutToolView\";class h extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom Out\",this.icon=m.bk_tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_out\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_out\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_out\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomOutTool=h,h.__name__=\"ZoomOutTool\",h.init_ZoomOutTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),n=e(9),i=e(8),r=e(11),_=e(284);class c extends _.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void r.unreachable():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){const o=this.plot_view.frame;return o.bbox.contains(e,t)?[o.xscales[s.x_range_name].invert(e),o.yscales[s.y_range_name].invert(t)]:null}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;e<s.length;e++){const t=s[e];o.splice(t-e,1)}}this._emit_cds_changes(t)}_pop_glyphs(e,t){const s=e.columns();if(t&&s.length)for(const o of s){let s=e.get_array(o);const n=s.length-t+1;n<1||(i.isArray(s)||(s=Array.from(s),e.data[o]=s),s.splice(0,n))}}_emit_cds_changes(e,t=!0,s=!0,o=!0){s&&e.selection_manager.clear(),t&&e.change.emit(),o&&(e.data=e.data,e.properties.data.change.emit())}_drag_points(e,t,s=\"both\"){if(null==this._basepoint)return;const[o,n]=this._basepoint;for(const i of t){const t=this._map_drag(o,n,i),r=this._map_drag(e.sx,e.sy,i);if(null==r||null==t)continue;const[_,c]=r,[a,l]=t,[d,u]=[_-a,c-l],m=i.glyph,h=i.data_source,[p,f]=[m.x.field,m.y.field];for(const e of h.selected.indices)!p||\"width\"!=s&&\"both\"!=s||(h.data[p][e]+=d),!f||\"height\"!=s&&\"both\"!=s||(h.data[f][e]+=u);h.change.emit()}this._basepoint=[e.sx,e.sy]}_pad_empty_columns(e,t){for(const s of e.columns())n.includes(t,s)||e.get_array(s).push(this.model.empty_value)}_select_event(e,t,s){const o=this.plot_view.frame,{sx:n,sy:i}=e;if(!o.bbox.contains(n,i))return[];const r={type:\"point\",sx:n,sy:i},_=[];for(const e of s){const s=e.get_selection_manager(),o=e.data_source,n=[this.plot_view.renderer_views.get(e)];s.select(n,r,!0,t)&&_.push(e),o.properties.selected.change.emit()}return _}}s.EditToolView=c,c.__name__=\"EditToolView\";class a extends _.GestureTool{constructor(e){super(e)}static init_EditTool(){this.define({custom_icon:[o.String],custom_tooltip:[o.String],empty_value:[o.Any],renderers:[o.Array,[]]})}get tooltip(){return this.custom_tooltip||this.tool_name}get computed_icon(){return this.custom_icon||this.icon}}s.EditTool=a,a.__name__=\"EditTool\",a.init_EditTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(68),o=i.__importStar(e(18)),n=e(332),a=e(287);class d extends n.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===_.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==_.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.frame,d=n.glyph,l=n.data_source,r=a.xscales[n.x_range_name],h=a.yscales[n.y_range_name],[p,u]=r.r_invert(e,t),[c,m]=h.r_invert(s,i),[f,b]=[(p+u)/2,(c+m)/2],[x,y]=[u-p,m-c],[w,g]=[d.x.field,d.y.field],[v,E]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),w&&l.get_array(w).push(f),g&&l.get_array(g).push(b),v&&l.get_array(v).push(x),E&&l.get_array(E).push(y),this._pad_empty_columns(l,[w,g,v,E]);else{const e=l.data[w].length-1;w&&(l.data[w][e]=f),g&&(l.data[g][e]=b),v&&(l.data[v][e]=x),E&&(l.data[E][e]=y)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=d,d.__name__=\"BoxEditToolView\";class l extends n.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=a.bk_tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}static init_BoxEditTool(){this.prototype.default_view=d,this.define({dimensions:[o.Dimensions,\"both\"],num_objects:[o.Int,0]})}}s.BoxEditTool=l,l.__name__=\"BoxEditTool\",l.init_BoxEditTool()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),r=e(68),_=s.__importStar(e(18)),o=e(8),i=e(332),d=e(287);class n extends i.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,i]=r,d=s.data_source,n=s.glyph,[l,h]=[n.xs.field,n.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),l&&d.get_array(l).push([_]),h&&d.get_array(h).push([i]),this._pad_empty_columns(d,[l,h]);else if(\"add\"==t){if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];o.isArray(t)||(t=Array.from(t),d.data[l][e]=t),t.push(_)}if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];o.isArray(t)||(t=Array.from(t),d.data[h][e]=t),t.push(i)}}this._emit_cds_changes(d,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===r.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=n,n.__name__=\"FreehandDrawToolView\";class l extends i.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=d.bk_tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}static init_FreehandDrawTool(){this.prototype.default_view=n,this.define({num_objects:[_.Int,0]})}}a.FreehandDrawTool=l,l.__name__=\"FreehandDrawTool\",l.init_FreehandDrawTool()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(68),a=s.__importStar(e(18)),n=e(332),_=e(287);class r extends n.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],o=this._map_drag(e.sx,e.sy,t);if(null==o)return;const s=t.glyph,i=t.data_source,[a,n]=[s.x.field,s.y.field],[_,r]=o;this._pop_glyphs(i,this.model.num_objects),a&&i.get_array(a).push(_),n&&i.get_array(n).push(r),this._pad_empty_columns(i,[a,n]),i.change.emit(),i.data=i.data,i.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===i.Keys.Backspace?this._delete_selected(t):e.keyCode==i.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}o.PointDrawToolView=r,r.__name__=\"PointDrawToolView\";class d extends n.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=_.bk_tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}static init_PointDrawTool(){this.prototype.default_view=r,this.define({add:[a.Boolean,!0],drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}o.PointDrawTool=d,d.__name__=\"PointDrawTool\",d.init_PointDrawTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(68),a=i.__importStar(e(18)),o=e(8),n=e(337),_=e(287);class d extends n.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==r)return;const[a,n]=this._snap_to_vertex(e,...r),_=i.data_source,d=i.glyph,[l,h]=[d.xs.field,d.ys.field];if(\"new\"==t)this._pop_glyphs(_,this.model.num_objects),l&&_.get_array(l).push([a,a]),h&&_.get_array(h).push([n,n]),this._pad_empty_columns(_,[l,h]);else if(\"edit\"==t){if(l){const e=_.data[l][_.data[l].length-1];e[e.length-1]=a}if(h){const e=_.data[h][_.data[h].length-1];e[e.length-1]=n}}else if(\"add\"==t){if(l){const e=_.data[l].length-1;let t=_.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=a,o.isArray(t)||(t=Array.from(t),_.data[l][e]=t),t.push(s)}if(h){const e=_.data[h].length-1;let t=_.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=n,o.isArray(t)||(t=Array.from(t),_.data[h][e]=t),t.push(s)}}this._emit_cds_changes(_,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;s<this.model.renderers.length;s++){const i=this.model.renderers[s],r=i.data_source,a=i.glyph,[o,n]=[a.xs.field,a.ys.field];if(o)for(const t of r.get_array(o))Array.prototype.push.apply(e,t);if(n)for(const e of r.get_array(n))Array.prototype.push.apply(t,e);this._drawing&&s==this.model.renderers.length-1&&(e.splice(e.length-1,1),t.splice(t.length-1,1))}this._set_vertices(e,t)}_doubletap(e){this.model.active&&(this._drawing?(this._drawing=!1,this._draw(e,\"edit\",!0)):(this._drawing=!0,this._draw(e,\"new\",!0)))}_move(e){this._drawing&&this._draw(e,\"edit\")}_remove(){const e=this.model.renderers[0],t=e.data_source,s=e.glyph,[i,r]=[s.xs.field,s.ys.field];if(i){const e=t.data[i].length-1,s=t.get_array(i)[e];s.splice(s.length-1,1)}if(r){const e=t.data[r].length-1,s=t.get_array(r)[e];s.splice(s.length-1,1)}this._emit_cds_changes(t)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Backspace?this._delete_selected(t):e.keyCode==r.Keys.Esc&&(this._drawing&&(this._remove(),this._drawing=!1),t.data_source.selection_manager.clear())}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){if(null==this._basepoint||!this.model.drag)return;const[t,s]=this._basepoint;for(const i of this.model.renderers){const r=this._map_drag(t,s,i),a=this._map_drag(e.sx,e.sy,i);if(null==a||null==r)continue;const o=i.data_source,n=i.glyph,[_,d]=[n.xs.field,n.ys.field];if(!_&&!d)continue;const[l,h]=a,[c,g]=r,[p,f]=[l-c,h-g];for(const e of o.selected.indices){let t,s,i;_&&(s=o.data[_][e]),d?(i=o.data[d][e],t=i.length):t=s.length;for(let e=0;e<t;e++)s&&(s[e]+=p),i&&(i[e]+=f)}o.change.emit()}this._basepoint=[e.sx,e.sy]}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source);this._basepoint=null}}activate(){if(this.model.vertex_renderer&&this.model.active){if(this._show_vertices(),!this._initialized)for(const e of this.model.renderers){const t=e.data_source;t.connect(t.properties.data.change,()=>this._show_vertices())}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=d,d.__name__=\"PolyDrawToolView\";class l extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.bk_tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}static init_PolyDrawTool(){this.prototype.default_view=d,this.define({drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),i=e(8),s=e(332);class _ extends s.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,_]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),_&&(i.isArray(t)?o.data[_]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,\"replace\",[this.model.vertex_renderer]),i=this.model.vertex_renderer.data_source,s=this.model.vertex_renderer.glyph,[_,l]=[s.x.field,s.y.field];if(o.length){const e=i.selected.indices[0];_&&(t=i.data[_][e]),l&&(r=i.data[l][e]),i.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class l extends s.EditTool{constructor(e){super(e)}static init_PolyTool(){this.prototype.default_view=_,this.define({vertex_renderer:[o.Instance]})}}r.PolyTool=l,l.__name__=\"PolyTool\",l.init_PolyTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(68),i=e(8),_=e(337),d=e(287);class n extends _.PolyToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this._select_event(e,\"replace\",this.model.renderers);if(!t.length)return this._set_vertices([],[]),this._selected_renderer=null,void(this._drawing=!1);const s=t[0],r=s.glyph,_=s.data_source,d=_.selected.indices[0],[n,l]=[r.xs.field,r.ys.field];let a,c;n?(a=_.data[n][d],i.isArray(a)||(_.data[n][d]=a=Array.from(a))):a=r.xs.value,l?(c=_.data[l][d],i.isArray(c)||(_.data[l][d]=c=Array.from(c))):c=r.ys.value,this._selected_renderer=s,this._set_vertices(a,c)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===r.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==r.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=n,n.__name__=\"PolyEditToolView\";class l extends _.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=d.bk_tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=n}}s.PolyEditTool=l,l.__name__=\"PolyEditTool\",l.init_PolyEditTool()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(340),l=e(107),_=s.__importStar(e(18)),n=e(287);class c extends i.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.push_state(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const _={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(_,i,l)}}o.BoxSelectToolView=c,c.__name__=\"BoxSelectToolView\";const r=()=>new l.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=n.bk_tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=c,this.define({dimensions:[_.Dimensions,\"both\"],select_every_mousemove:[_.Boolean,!1],overlay:[_.Instance,r],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_select\",()=>new h),this.register_alias(\"xbox_select\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_select\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}o.BoxSelectTool=h,h.__name__=\"BoxSelectTool\",h.init_BoxSelectTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),r=e(81),c=e(100),i=e(341),l=n.__importStar(e(18)),a=e(68),d=e(291),_=e(14),h=e(11);class u extends o.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect(()=>this._clear())}get computed_renderers(){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;return i.compute_renderers(e,t,s)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof r.GlyphRenderer)n=s.data_source;else{if(!(s instanceof c.GraphRenderer))continue;n=s.node_renderer.data_source}const o=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...o,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void h.unreachable():this.model.mode}_keyup(e){e.keyCode==a.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();this.plot_view.request_render()}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,o]of n){const n=o[0].get_selection_manager(),r=[];for(const e of o){const t=this.plot_view.renderer_views.get(e);null!=t&&r.push(t)}n.select(r,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{frame:s}=this.plot_view,n=s.xscales.default,o=s.yscales.default;let r;switch(e.type){case\"point\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:s,sy0:c,sy1:i}=e,[l,a]=n.r_invert(t,s),[d,_]=o.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:l,y0:d,x1:a,y1:_});break}case\"poly\":{const{sx:t,sy:s}=e,c=n.v_invert(t),i=o.v_invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new d.SelectionGeometry(r,t))}}s.SelectToolView=u,u.__name__=\"SelectToolView\";class p extends o.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new _.Signal0(this,\"clear\")}static init_SelectTool(){this.define({renderers:[l.Any,\"auto\"],names:[l.Array,[]],mode:[l.Any,\"replace\"]})}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=p,p.__name__=\"SelectTool\",p.init_SelectTool()},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(9);t.compute_renderers=function(e,n,t){if(null==e)return[];let u=\"auto\"==e?n:e;return t.length>0&&(u=u.filter(e=>r.includes(t,e.name))),u}},\n",
+       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),i=t(284),n=t(107),_=s.__importStar(t(18)),a=t(287);class l extends i.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m<n&&(m=n)),l=Math.abs(p-m),t[1]<=o[1]?(b=t[1],d=t[1]+l/s,d>_&&(d=_)):(d=t[1],b=t[1]-l/s,b<a&&(b=a)),r=Math.abs(d-b),t[0]<=o[0]?p=t[0]+s*r:m=t[0]-s*r,[[m,p],[b,d]]}_compute_limits(t){const o=this.plot_view.frame,e=this.model.dimensions;let s,i,n=this._base_point;if(\"center\"==this.model.origin){const[o,e]=n,[s,i]=t;n=[o-(s-o),e-(i-e)]}return this.model.match_aspect&&\"both\"==e?[s,i]=this._match_aspect(n,t,o):[s,i]=this.model._get_dim_limits(n,t,o,e),[s,i]}_pan_start(t){this._base_point=[t.sx,t.sy]}_pan(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this.model.overlay.update({left:e[0],right:e[1],top:s[0],bottom:s[1]})}_pan_end(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this._update(e,s),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null}_update([t,o],[e,s]){if(Math.abs(o-t)<=5||Math.abs(s-e)<=5)return;const{xscales:i,yscales:n}=this.plot_view.frame,_={};for(const e in i){const s=i[e],[n,a]=s.r_invert(t,o);_[e]={start:n,end:a}}const a={};for(const t in n){const o=n[t],[i,_]=o.r_invert(e,s);a[t]={start:i,end:_}}const l={xrs:_,yrs:a};this.plot_view.push_state(\"box_zoom\",{range:l}),this.plot_view.update_range(l)}}e.BoxZoomToolView=l,l.__name__=\"BoxZoomToolView\";const r=()=>new n.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=a.bk_tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=l,this.define({dimensions:[_.Dimensions,\"both\"],overlay:[_.Instance,r],match_aspect:[_.Boolean,!1],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_zoom\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xbox_zoom\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_zoom\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}e.BoxZoomTool=h,h.__name__=\"BoxZoomTool\",h.init_BoxZoomTool()},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(340),i=e(139),a=e(68),_=o.__importStar(e(18)),c=e(287);class n extends l.SelectToolView{initialize(){super.initialize(),this.data=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_overlay()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_overlay()}_pan_start(e){const{sx:s,sy:t}=e;this.data={sx:[s],sy:[t]}}_pan(e){const{sx:s,sy:t}=e,[o,l]=this.plot_view.frame.bbox.clip(s,t);this.data.sx.push(o),this.data.sy.push(l),this.model.overlay.update({xs:this.data.sx,ys:this.data.sy}),this.model.select_every_mousemove&&this._do_select(this.data.sx,this.data.sy,!1,this._select_mode(e))}_pan_end(e){this._clear_overlay(),this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"lasso_select\",{selection:this.plot_view.get_selection()})}_clear_overlay(){this.model.overlay.update({xs:[],ys:[]})}_do_select(e,s,t,o){const l={type:\"poly\",sx:e,sy:s};this._select(l,t,o)}}t.LassoSelectToolView=n,n.__name__=\"LassoSelectToolView\";const h=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class r extends l.SelectTool{constructor(e){super(e),this.tool_name=\"Lasso Select\",this.icon=c.bk_tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=n,this.define({select_every_mousemove:[_.Boolean,!0],overlay:[_.Instance,h]}),this.register_alias(\"lasso_select\",()=>new r)}}t.LassoSelectTool=r,r.__name__=\"LassoSelectTool\",r.init_LassoSelectTool()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(345),r=s.__importStar(e(18)),_=e(287);class d extends n.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const i of t){1==this._select_event(e,\"replace\",[i]).length&&(this._selected_renderer=i)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[i,s]=[t.x.field,t.y.field],n=e.get_array(i),r=e.get_array(s);this._set_intersection(n,r)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const i=this._select_mode(e);if(0==this._select_event(e,i,[t]).length)return}const i=this._select_mode(e);this._select_event(e,i,[t]),this._select_event(e,i,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[i,s]=[e.x.field,e.y.field];if(i&&s){const e=t.data[i],n=t.data[s];this._selected_renderer.data_source.data[i]=e,this._selected_renderer.data_source.data[s]=n}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}i.LineEditToolView=d,d.__name__=\"LineEditToolView\";class o extends n.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=_.bk_tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_LineEditTool(){this.prototype.default_view=d,this.define({dimensions:[r.Dimensions,\"both\"]})}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.LineEditTool=o,o.__name__=\"LineEditTool\",o.init_LineEditTool()},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1).__importStar(e(18)),o=e(8),s=e(332);class _ extends s.EditToolView{_set_intersection(e,i){const t=this.model.intersection_renderer.glyph,n=this.model.intersection_renderer.data_source,[s,_]=[t.x.field,t.y.field];s&&(o.isArray(e)?n.data[s]=e:t.x={value:e}),_&&(o.isArray(i)?n.data[_]=i:t.y={value:i}),this._emit_cds_changes(n,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}t.LineToolView=_,_.__name__=\"LineToolView\";class r extends s.EditTool{constructor(e){super(e)}static init_LineTool(){this.prototype.default_view=_,this.define({intersection_renderer:[n.Instance]})}}t.LineTool=r,r.__name__=\"LineTool\",r.init_LineTool()},\n",
+       "      function _(t,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),e=t(284),o=i.__importStar(t(18)),a=t(287);class _ extends e.GestureToolView{_pan_start(t){this.last_dx=0,this.last_dy=0;const{sx:s,sy:n}=t,i=this.plot_view.frame.bbox;if(!i.contains(s,n)){const t=i.h_range,e=i.v_range;(s<t.start||s>t.end)&&(this.v_axis_only=!0),(n<e.start||n>e.end)&&(this.h_axis_only=!0)}null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan(t){this._update(t.deltaX,t.deltaY),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.push_state(\"pan\",{range:this.pan_info})}_update(t,s){const n=this.plot_view.frame,i=t-this.last_dx,e=s-this.last_dy,o=n.bbox.h_range,a=o.start-i,_=o.end-i,h=n.bbox.v_range,l=h.start-e,r=h.end-e,d=this.model.dimensions;let c,p,m,u,x,y;\"width\"!=d&&\"both\"!=d||this.v_axis_only?(c=o.start,p=o.end,m=0):(c=a,p=_,m=-i),\"height\"!=d&&\"both\"!=d||this.h_axis_only?(u=h.start,x=h.end,y=0):(u=l,x=r,y=-e),this.last_dx=t,this.last_dy=s;const{xscales:v,yscales:b}=n,g={};for(const t in v){const s=v[t],[n,i]=s.r_invert(c,p);g[t]={start:n,end:i}}const w={};for(const t in b){const s=b[t],[n,i]=s.r_invert(u,x);w[t]={start:n,end:i}}this.pan_info={xrs:g,yrs:w,sdx:m,sdy:y},this.plot_view.update_range(this.pan_info,!0)}}n.PanToolView=_,_.__name__=\"PanToolView\";class h extends e.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=_,this.define({dimensions:[o.Dimensions,\"both\"]}),this.register_alias(\"pan\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xpan\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ypan\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(\"Pan\",this.dimensions)}get icon(){switch(this.dimensions){case\"both\":return a.bk_tool_icon_pan;case\"width\":return a.bk_tool_icon_xpan;case\"height\":return a.bk_tool_icon_ypan}}}n.PanTool=h,h.__name__=\"PanTool\",h.init_PanTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const l=e(1),o=e(340),i=e(139),a=e(68),_=l.__importStar(e(18)),c=e(9),n=e(287);class h extends o.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:c.copy(this.data.sx),ys:c.copy(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=h,h.__name__=\"PolySelectToolView\";const y=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.bk_tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define({overlay:[_.Instance,y]}),this.register_alias(\"poly_select\",()=>new d)}}s.PolySelectTool=d,d.__name__=\"PolySelectTool\",d.init_PolySelectTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(107),l=e(72),a=i.__importStar(e(18)),r=e(284),o=e(287);function _(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function h(e,t,s,i){if(null==t)return!1;const n=s.compute(t);return Math.abs(e-n)<i}function d(e,t,s,i,n){let l=!0;if(null!=n.left&&null!=n.right){const t=s.invert(e);(t<n.left||t>n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=i.invert(t);(e<n.bottom||e>n.top)&&(l=!1)}return l}function u(e,t,s){let i=0;return e>=s.start&&e<=s.end&&(i+=1),t>=s.start&&t<=s.end&&(i+=1),i}function c(e,t,s,i){const n=t.compute(e),l=t.invert(n+s);return l>=i.start&&l<=i.end?l:e}function g(e,t,s){return e>t.start?(t.end=e,s):(t.end=t.start,t.start=e,_(s))}function y(e,t,s){return e<t.end?(t.start=e,s):(t.start=t.end,t.end=e,_(s))}function f(e,t,s,i){const[n,l]=t.r_compute(e.start,e.end),[a,r]=t.r_invert(n+s,l+s),o=u(e.start,e.end,i);u(a,r,i)>=o&&(e.start=a,e.end=r)}s.flip_side=_,s.is_near=h,s.is_inside=d,s.sides_inside=u,s.compute_value=c,s.update_range_end_side=g,s.update_range_start_side=y,s.update_range=f;class p extends r.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,()=>this.model.update_overlay_from_ranges()),null!=this.model.y_range&&this.connect(this.model.y_range.change,()=>this.model.update_overlay_from_ranges())}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,s=this.model.y_range,i=this.plot_view.frame,l=i.xscales.default,a=i.yscales.default,r=this.model.overlay,{left:o,right:_,top:u,bottom:c}=r,g=this.model.overlay.properties.line_width.value()+n.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(h(e.sx,o,l,g)?this.side=1:h(e.sx,_,l,g)?this.side=2:d(e.sx,e.sy,l,a,r)&&(this.side=3)),null!=s&&this.model.y_interaction&&(0==this.side&&h(e.sy,c,a,g)&&(this.side=4),0==this.side&&h(e.sy,u,a,g)?this.side=5:d(e.sx,e.sy,l,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,s=e.deltaX-this.last_dx,i=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.xscales.default,r=t.yscales.default;if(null!=n)if(3==this.side||7==this.side)f(n,a,s,t.x_range);else if(1==this.side){const e=c(n.start,a,s,t.x_range);this.side=y(e,n,this.side)}else if(2==this.side){const e=c(n.end,a,s,t.x_range);this.side=g(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)f(l,r,i,t.y_range);else if(4==this.side){const e=c(l.start,r,i,t.y_range);this.side=y(e,l,this.side)}else if(5==this.side){const e=c(l.end,r,i,t.y_range);this.side=g(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0}}s.RangeToolView=p,p.__name__=\"RangeToolView\";const m=()=>new n.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class v extends r.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=o.bk_tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=p,this.define({x_range:[a.Instance,null],x_interaction:[a.Boolean,!0],y_range:[a.Instance,null],y_interaction:[a.Boolean,!0],overlay:[a.Instance,m]})}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,l.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}s.RangeTool=v,v.__name__=\"RangeTool\",v.init_RangeTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),o=e(340),a=i.__importStar(e(18)),n=e(287);class _ extends o.SelectToolView{_tap(e){const{sx:t,sy:s}=e,i={type:\"point\",sx:t,sy:s};this._select(i,!0,this._select_mode(e))}_select(e,t,s){const i=this.model.callback;if(\"select\"==this.model.behavior){const o=this._computed_renderers_by_data_source();for(const[,a]of o){const o=a[0].get_selection_manager(),n=a.map(e=>this.plot_view.renderer_views.get(e));if(o.select(n,e,t,s)&&null!=i){const{frame:t}=this.plot_view,s=t.xscales[a[0].x_range_name],n=t.yscales[a[0].y_range_name],_=s.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:o.source};i.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.push_state(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=t.get_selection_manager();if(s.inspect(this.plot_view.renderer_views.get(t),e)&&null!=i){const{frame:o}=this.plot_view,a=o.xscales[t.x_range_name],n=o.yscales[t.y_range_name],_=a.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:s.source};i.execute(this.model,l)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class c extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=n.bk_tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=_,this.define({behavior:[a.TapBehavior,\"select\"],callback:[a.Any]}),this.register_alias(\"click\",()=>new c({behavior:\"inspect\"})),this.register_alias(\"tap\",()=>new c)}}s.TapTool=c,c.__name__=\"TapTool\",c.init_TapTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),i=n.__importStar(e(18)),a=e(287);class l extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){const{frame:t}=this.plot_view,s=t.bbox.h_range,n=t.bbox.v_range,[o,i]=[s.start,s.end],[a,l]=[n.start,n.end];let r,h,_,d;switch(this.model.dimension){case\"height\":{const t=Math.abs(l-a);r=o,h=i,_=a-t*e,d=l-t*e;break}case\"width\":{const t=Math.abs(i-o);r=o-t*e,h=i-t*e,_=a,d=l;break}default:throw new Error(\"this shouldn't have happened\")}const{xscales:c,yscales:p}=t,m={};for(const e in c){const t=c[e],[s,n]=t.r_invert(r,h);m[e]={start:s,end:n}}const u={};for(const e in p){const t=p[e],[s,n]=t.r_invert(_,d);u[e]={start:s,end:n}}const w={xrs:m,yrs:u,factor:e};this.plot_view.push_state(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,!1,!0),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}s.WheelPanToolView=l,l.__name__=\"WheelPanToolView\";class r extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=a.bk_tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=l,this.define({dimension:[i.Dimension,\"width\"]}),this.internal({speed:[i.Number,.001]}),this.register_alias(\"xwheel_pan\",()=>new r({dimension:\"width\"})),this.register_alias(\"ywheel_pan\",()=>new r({dimension:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimension)}}s.WheelPanTool=r,r.__name__=\"WheelPanTool\",r.init_WheelPanTool()},\n",
+       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),i=e(284),l=e(330),n=s.__importStar(e(18)),_=e(28),h=e(287);class a extends i.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:l}=e;let n;n=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:n,ctrlKey:i,shiftKey:l})}_scroll(e){const{frame:o}=this.plot_view,t=o.bbox.h_range,s=o.bbox.v_range,{sx:i,sy:n}=e,_=this.model.dimensions,h=(\"width\"==_||\"both\"==_)&&t.start<i&&i<t.end,a=(\"height\"==_||\"both\"==_)&&s.start<n&&n<s.end;if(!(h&&a||this.model.zoom_on_axis))return;const m=this.model.speed*e.delta,r=l.scale_range(o,m,h,a,{x:i,y:n});this.plot_view.push_state(\"wheel_zoom\",{range:r}),this.plot_view.update_range(r,!1,!0,this.model.maintain_focus),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}t.WheelZoomToolView=a,a.__name__=\"WheelZoomToolView\";class m extends i.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=h.bk_tool_icon_wheel_zoom,this.event_type=_.is_mobile?\"pinch\":\"scroll\",this.default_order=10}static init_WheelZoomTool(){this.prototype.default_view=a,this.define({dimensions:[n.Dimensions,\"both\"],maintain_focus:[n.Boolean,!0],zoom_on_axis:[n.Boolean,!0],speed:[n.Number,1/600]}),this.register_alias(\"wheel_zoom\",()=>new m({dimensions:\"both\"})),this.register_alias(\"xwheel_zoom\",()=>new m({dimensions:\"width\"})),this.register_alias(\"ywheel_zoom\",()=>new m({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}t.WheelZoomTool=m,m.__name__=\"WheelZoomTool\",m.init_WheelZoomTool()},\n",
+       "      function _(i,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=i(1),o=i(274),n=i(141),l=t.__importStar(i(18)),h=i(17),a=i(287);class r extends o.InspectToolView{_move(i){if(!this.model.active)return;const{sx:s,sy:e}=i;this.plot_view.frame.bbox.contains(s,e)?this._update_spans(s,e):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,s){const e=this.model.dimensions;\"width\"!=e&&\"both\"!=e||(this.model.spans.width.location=s),\"height\"!=e&&\"both\"!=e||(this.model.spans.height.location=i)}}e.CrosshairToolView=r,r.__name__=\"CrosshairToolView\";class _ extends o.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=a.bk_tool_icon_crosshair}static init_CrosshairTool(){this.prototype.default_view=r,this.define({dimensions:[l.Dimensions,\"both\"],line_color:[l.Color,\"black\"],line_width:[l.Number,1],line_alpha:[l.Number,1]}),this.internal({spans:[l.Any]}),this.register_alias(\"crosshair\",()=>new _)}get tooltip(){return this._get_dim_tooltip(\"Crosshair\",this.dimensions)}get synthetic_renderers(){return h.values(this.spans)}initialize(){super.initialize(),this.spans={width:new n.Span({for_hover:!0,dimension:\"width\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha}),height:new n.Span({for_hover:!0,dimension:\"height\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha})}}}e.CrosshairTool=_,_.__name__=\"CrosshairTool\",_.init_CrosshairTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),o=e(71),i=r.__importStar(e(18)),a=e(17),n=e(24);class u extends o.Model{constructor(e){super(e)}static init_CustomJSHover(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get values(){return a.values(this.args)}_make_code(e,t,s,r){return new Function(...a.keys(this.args),e,t,s,n.use_strict(r))}format(e,t,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,t,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(274),i=e(144),r=e(81),l=e(100),a=e(341),c=n.__importStar(e(93)),d=e(160),_=e(68),p=n.__importStar(e(18)),h=e(20),m=e(17),u=e(8),y=e(99),x=e(287),f=e(145);function v(e,t,s,n,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[e+1]};let a,d;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-s),d=Math.abs(l.x-s)):(a=Math.abs(r.y-n),d=Math.abs(l.y-n));else{const e={x:s,y:n};a=c.dist_2_pts(r,e),d=c.dist_2_pts(l,e)}return a<d?[[r.x,r.y],e]:[[l.x,l.y],e+1]}function w(e,t,s){return[[e[s],t[s]],s]}s._nearest_line_hit=v,s._line_hit=w;class g extends o.InspectToolView{initialize(){super.initialize(),this._ttmodels=null,this._ttviews=new Map}remove(){y.remove_views(this._ttviews),super.remove()}connect_signals(){super.connect_signals();for(const e of this.computed_renderers)e instanceof r.GlyphRenderer?this.connect(e.data_source.inspect,this._update):e instanceof l.GraphRenderer&&(this.connect(e.node_renderer.data_source.inspect,this._update),this.connect(e.edge_renderer.data_source.inspect,this._update));this.connect(this.model.properties.renderers.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.names.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.tooltips.change,()=>this._ttmodels=null)}_compute_ttmodels(){const e=new Map,t=this.model.tooltips;if(null!=t)for(const s of this.computed_renderers){const n=new i.Tooltip({custom:u.isString(t)||u.isFunction(t),attachment:this.model.attachment,show_arrow:this.model.show_arrow});s instanceof r.GlyphRenderer?e.set(s,n):s instanceof l.GraphRenderer&&(e.set(s.node_renderer,n),e.set(s.edge_renderer,n))}return y.build_views(this._ttviews,[...e.values()],{parent:this.plot_view}),e}get computed_renderers(){if(null==this._computed_renderers){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;this._computed_renderers=a.compute_renderers(e,t,s)}return this._computed_renderers}get ttmodels(){return null==this._ttmodels&&(this._ttmodels=this._compute_ttmodels()),this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)?this._inspect(t,s):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let s;if(\"mouse\"==this.model.mode)s={type:\"point\",sx:e,sy:t};else{s={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){e.get_selection_manager().inspect(this.plot_view.renderer_views.get(e),s)}null!=this.model.callback&&this._emit_callback(s)}_update([e,{geometry:t}]){if(!this.model.active)return;if(!(e instanceof r.GlyphRendererView))return;const{model:s}=e;if(\"ignore\"==this.model.muted_policy&&s instanceof r.GlyphRenderer&&s.muted)return;const n=this.ttmodels.get(s);if(null==n)return;n.clear();const o=s.get_selection_manager();let i=o.inspectors.get(s);if(s instanceof r.GlyphRenderer&&(i=s.view.convert_selection_to_subset(i)),i.is_empty())return;const l=o.source,{frame:a}=this.plot_view,{sx:c,sy:d}=t,_=a.xscales[s.x_range_name],p=a.yscales[s.y_range_name],h=_.invert(c),u=p.invert(d),y=e.glyph;for(const s of i.line_indices){let o,r,a=y._x[s+1],m=y._y[s+1],x=s;switch(this.model.line_policy){case\"interp\":[a,m]=y.get_interpolation_hit(s,t),o=_.compute(a),r=p.compute(m);break;case\"prev\":[[o,r],x]=w(y.sx,y.sy,s);break;case\"next\":[[o,r],x]=w(y.sx,y.sy,s+1);break;case\"nearest\":[[o,r],x]=v(s,t,c,d,y.sx,y.sy),a=y._x[x],m=y._y[x];break;default:[o,r]=[c,d]}const f={index:x,x:h,y:u,sx:c,sy:d,data_x:a,data_y:m,rx:o,ry:r,indices:i.line_indices,name:e.model.name};n.add(o,r,this._render_tooltips(l,x,f))}for(const e of i.image_indices){const t={index:e.index,x:h,y:u,sx:c,sy:d},s=this._render_tooltips(l,e,t);n.add(c,d,s)}for(const o of i.indices)if(m.isEmpty(i.multiline_indices)){const t=null!=y._x?y._x[o]:void 0,a=null!=y._y?y._y[o]:void 0;let _,p,m;if(\"snap_to_data\"==this.model.point_policy){let e=y.get_anchor_point(this.model.anchor,o,[c,d]);null==e&&(e=y.get_anchor_point(\"center\",o,[c,d])),_=e.x,p=e.y}else[_,p]=[c,d];m=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const x={index:m,x:h,y:u,sx:c,sy:d,data_x:t,data_y:a,indices:i.indices,name:e.model.name};n.add(_,p,this._render_tooltips(l,m,x))}else for(const a of i.multiline_indices[o.toString()]){let m,x,f,g=y._xs[o][a],b=y._ys[o][a],k=a;switch(this.model.line_policy){case\"interp\":[g,b]=y.get_interpolation_hit(o,a,t),m=_.compute(g),x=p.compute(b);break;case\"prev\":[[m,x],k]=w(y.sxs[o],y.sys[o],a);break;case\"next\":[[m,x],k]=w(y.sxs[o],y.sys[o],a+1);break;case\"nearest\":[[m,x],k]=v(a,t,c,d,y.sxs[o],y.sys[o]),g=y._xs[o][k],b=y._ys[o][k];break;default:throw new Error(\"should't have happened\")}f=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const T={index:f,x:h,y:u,sx:c,sy:d,data_x:g,data_y:b,segment_index:k,indices:i.multiline_indices,name:e.model.name};n.add(m,x,this._render_tooltips(l,f,T))}}_emit_callback(e){for(const t of this.computed_renderers){const s=t.data_source.inspected,{frame:n}=this.plot_view,o=n.xscales[t.x_range_name],i=n.yscales[t.y_range_name],r=o.invert(e.sx),l=i.invert(e.sy),a=Object.assign({x:r,y:l},e);this.model.callback.execute(this.model,{index:s,geometry:a,renderer:t})}}_render_tooltips(e,t,s){const n=this.model.tooltips;if(u.isString(n)){const o=_.div();return o.innerHTML=d.replace_placeholders(n,e,t,this.model.formatters,s),o}if(u.isFunction(n))return n(e,s);{const o=_.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[i,r]of n){const n=_.div({style:{display:\"table-row\"}});let l;if(o.appendChild(n),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_label},0!=i.length?i+\": \":\"\"),n.appendChild(l),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_value}),n.appendChild(l),r.indexOf(\"$color\")>=0){const[,s=\"\",n]=r.match(/\\$color(\\[.*\\])?:(\\w*)/),o=e.get_column(n);if(null==o){const e=_.span({},n+\" unknown\");l.appendChild(e);continue}const i=s.indexOf(\"hex\")>=0,a=s.indexOf(\"swatch\")>=0;let c=u.isNumber(t)?o[t]:null;if(null==c){const e=_.span({},\"(null)\");l.appendChild(e);continue}i&&(c=h.color2hex(c));let d=_.span({},c);l.appendChild(d),a&&(d=_.span({class:f.bk_tooltip_color_block,style:{backgroundColor:c}},\" \"),l.appendChild(d))}else{const n=_.span();n.innerHTML=d.replace_placeholders(r.replace(\"$~\",\"$data_\"),e,t,this.model.formatters,s),l.appendChild(n)}}return o}}}s.HoverToolView=g,g.__name__=\"HoverToolView\";class b extends o.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=x.bk_tool_icon_hover}static init_HoverTool(){this.prototype.default_view=g,this.define({tooltips:[p.Any,[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[p.Any,{}],renderers:[p.Any,\"auto\"],names:[p.Array,[]],mode:[p.HoverMode,\"mouse\"],muted_policy:[p.MutedPolicy,\"show\"],point_policy:[p.PointPolicy,\"snap_to_data\"],line_policy:[p.LinePolicy,\"nearest\"],show_arrow:[p.Boolean,!0],anchor:[p.Anchor,\"center\"],attachment:[p.TooltipAttachment,\"horizontal\"],callback:[p.Any]}),this.register_alias(\"hover\",()=>new b)}}s.HoverTool=b,b.__name__=\"HoverTool\",b.init_HoverTool()},\n",
+       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),n=t(14),s=t(71),l=t(274),c=t(356);class r extends s.Model{constructor(t){super(t)}static init_ToolProxy(){this.define({tools:[i.Array,[]],active:[i.Boolean,!1],disabled:[i.Boolean,!1]})}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof l.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new n.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,()=>this.doit()),this.connect(this.properties.active.change,()=>this.set_active());for(const t of this.tools)this.connect(t.properties.active.change,()=>{this.active=t.active})}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,i]of c.enumerate(t))if(null==e)o.push(null);else{const t=()=>{var t,o;for(const e of this.tools)null===(o=null===(t=e.menu)||void 0===t?void 0:t[i])||void 0===o||o.handler()};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=r,r.__name__=\"ToolProxy\",r.init_ToolProxy()},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=e(9);function*r(e,n){const o=e.length;if(n>o)return;const r=t.range(n);for(yield r.map(n=>e[n]);;){let f;for(const e of t.reversed(t.range(n)))if(r[e]!=e+o-n){f=e;break}if(null==f)return;r[f]+=1;for(const e of t.range(f+1,n))r[e]=r[e-1]+1;yield r.map(n=>e[n])}}o.enumerate=function*(e){let n=0;for(const o of e)yield[o,n++]},o.combinations=r,o.subsets=function*(e){for(const n of t.range(e.length+1))yield*r(e,n)}},\n",
+       "      function _(t,o,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),e=t(9),n=t(283),r=t(355),l=t(245),c=t(188);class h extends n.ToolbarBase{constructor(t){super(t)}static init_ProxyToolbar(){this.define({toolbars:[i.Array,[]]})}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const t={},o={},s={},i=[],n=[];for(const t of this.help)e.includes(n,t.redirect)||(i.push(t),n.push(t.redirect));this._proxied_tools.push(...i),this.help=i;for(const t in this.gestures){const o=this.gestures[t];t in s||(s[t]={});for(const i of o.tools)i.type in s[t]||(s[t][i.type]=[]),s[t][i.type].push(i)}for(const o of this.inspectors)o.type in t||(t[o.type]=[]),t[o.type].push(o);for(const t of this.actions)t.type in o||(o[t.type]=[]),o[t.type].push(t);const l=(t,o=!1)=>{const s=new r.ToolProxy({tools:t,active:o});return this._proxied_tools.push(s),s};for(const t in s){const o=this.gestures[t];o.tools=[];for(const i in s[t]){const e=s[t][i];if(e.length>0)if(\"multi\"==t)for(const t of e){const s=l([t]);o.tools.push(s),this.connect(s.properties.active.change,()=>this._active_change(s))}else{const t=l(e);o.tools.push(t),this.connect(t.properties.active.change,()=>this._active_change(t))}}}this.actions=[];for(const t in o){const s=o[t];if(\"CustomAction\"==t)for(const t of s)this.actions.push(l([t]));else s.length>0&&this.actions.push(l(s))}this.inspectors=[];for(const o in t){const s=t[o];s.length>0&&this.inspectors.push(l(s,!0))}for(const t in this.gestures){const o=this.gestures[t];0!=o.tools.length&&(o.tools=e.sort_by(o.tools,t=>t.default_order),\"pinch\"!=t&&\"scroll\"!=t&&\"multi\"!=t&&(o.tools[0].active=!0))}}}s.ProxyToolbar=h,h.__name__=\"ProxyToolbar\",h.init_ProxyToolbar();class a extends l.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new c.ContentBox(this.child_views[0].el);const{toolbar:t}=this.model;t.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}}s.ToolbarBoxView=a,a.__name__=\"ToolbarBoxView\";class _ extends l.LayoutDOM{constructor(t){super(t)}static init_ToolbarBox(){this.prototype.default_view=a,this.define({toolbar:[i.Instance],toolbar_location:[i.Location,\"right\"]})}}s.ToolbarBox=_,_.__name__=\"ToolbarBox\",_.init_ToolbarBox()},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(5),i=e(66),d=e(99),c=e(68),l=e(359);t.index={},t.add_document_standalone=async function(e,n,s=[],a=!1){const u=new Map;async function r(o){let a;const r=e.roots().indexOf(o),f=s[r];null!=f?a=f:n.classList.contains(l.BOKEH_ROOT)?a=n:(a=c.div({class:l.BOKEH_ROOT}),n.appendChild(a));const v=await d.build_view(o,{parent:null});return v instanceof i.DOMView&&v.renderTo(a),u.set(o,v),t.index[o.id]=v,v}for(const n of e.roots())await r(n);return a&&(window.document.title=e.title()),e.on_change(e=>{e instanceof o.RootAddedEvent?r(e.model):e instanceof o.RootRemovedEvent?function(e){const n=u.get(e);null!=n&&(n.remove(),u.delete(e),delete t.index[e.id])}(e.model):a&&e instanceof o.TitleChangedEvent&&(window.document.title=e.title)}),[...u.values()]}},\n",
+       "      function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(68),r=e(246);function l(e){let o=document.getElementById(e);if(null==o)throw new Error(`Error rendering Bokeh model: could not find #${e} HTML tag`);if(!document.body.contains(o))throw new Error(`Error rendering Bokeh model: element #${e} must be under <body>`);if(\"SCRIPT\"==o.tagName){const e=t.div({class:n.BOKEH_ROOT});t.replaceWith(o,e),o=e}return o}n.BOKEH_ROOT=r.bk_root,n._resolve_element=function(e){const{elementid:o}=e;return null!=o?l(o):document.body},n._resolve_root_elements=function(e){const o=[];if(null!=e.root_ids&&null!=e.roots)for(const n of e.root_ids)o.push(l(e.roots[n]));return o}},\n",
+       "      function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=n(361),s=n(72),c=n(358);t._get_ws_url=function(n,o){let t,e=\"ws:\";return\"https:\"==window.location.protocol&&(e=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),e+\"//\"+t.host+n+\"/ws\"};const r={};t.add_document_from_session=async function(n,o,t,a=[],i=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=e.parse_token(o).session_id;n in r||(r[n]={});const c=r[n];return s in c||(c[s]=e.pull_session(n,o,t)),c[s]}(n,o,l)}catch(n){const t=e.parse_token(o).session_id;throw s.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return c.add_document_standalone(d.document,t,a,i)}},\n",
+       "      function _(e,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(72),o=e(5),r=e(362),i=e(363),c=e(364);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let l=0;function _(e){let s=e.split(\".\")[0];const n=s.length%4;return 0!=n&&(s+=\"=\".repeat(4-n)),JSON.parse(atob(s.replace(/_/g,\"/\").replace(/-/g,\"+\")))}n.parse_token=_;class h{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,o=null){this.url=e,this.token=s,this.args_string=o,this._number=l++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new i.Receiver,this.id=_(s).session_id.split(\".\")[0],t.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=\"\"+this.url;return null!=this.args_string&&this.args_string.length>0&&(e+=\"?\"+this.args_string),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)})}catch(e){throw t.logger.error(\"websocket creation failed to url: \"+this.url),t.logger.error(\" - \"+e),e}}close(){this.closed_permanently||(t.logger.debug(\"Permanently closing websocket connection \"+this._number),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,\"close method called on ClientConnection \"+this._number),this.session._connection_closed())}_schedule_reconnect(e){setTimeout(()=>{this.closed_permanently||t.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)},e)}send(e){if(null==this.socket)throw new Error(\"not connected so cannot send \"+e);e.send(this.socket)}async send_with_reply(e){const s=await new Promise((s,n)=>{this._pending_replies.set(e.msgid(),{resolve:s,reject:n}),this.send(e)});if(\"ERROR\"===s.msgtype())throw new Error(\"Error reply \"+s.content.text);return s}async _pull_doc_json(){const e=r.Message.create(\"PULL-DOC-REQ\",{}),s=await this.send_with_reply(e);if(!(\"doc\"in s.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return s.content.doc}async _repull_session_doc(e,s){var n;t.logger.debug(this.session?\"Repulling session\":\"Pulling session for first time\");try{const n=await this._pull_doc_json();if(null==this.session)if(this.closed_permanently)t.logger.debug(\"Got new document after connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=o.Document.from_json(n),i=o.Document._compute_patch_since_json(n,s);if(i.events.length>0){t.logger.debug(`Sending ${i.events.length} changes from model construction back to server`);const e=r.Message.create(\"PATCH-DOC\",{},i);this.send(e)}this.session=new c.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],t.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),t.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),t.logger.error(\"Failed to repull session \"+e),s(e)}}_on_open(e,s){t.logger.info(`Websocket connection ${this._number} is now open`),this._current_handler=n=>{this._awaiting_ack_handler(n,e,s)}}_on_message(e){null==this._current_handler&&t.logger.error(\"Got a message with no current handler set\");try{this._receiver.consume(e.data)}catch(e){this._close_bad_protocol(e.toString())}const s=this._receiver.message;if(null!=s){const e=s.problem();null!=e&&this._close_bad_protocol(e),this._current_handler(s)}}_on_close(e,s){t.logger.info(`Lost websocket ${this._number} connection, ${e.code} (${e.reason})`),this.socket=null,this._pending_replies.forEach(e=>e.reject(\"Disconnected\")),this._pending_replies.clear(),this.closed_permanently||this._schedule_reconnect(2e3),s(new Error(`Lost websocket connection, ${e.code} (${e.reason})`))}_on_error(e){t.logger.debug(\"Websocket error on socket \"+this._number);const s=\"Could not open websocket\";t.logger.error(\"Failed to connect to Bokeh server: \"+s),e(new Error(s))}_close_bad_protocol(e){t.logger.error(\"Closing connection: \"+e),null!=this.socket&&this.socket.close(1002,e)}_awaiting_ack_handler(e,s,n){\"ACK\"===e.msgtype()?(this._current_handler=e=>this._steady_state_handler(e),this._repull_session_doc(s,n)):this._close_bad_protocol(\"First message was not an ACK\")}_steady_state_handler(e){const s=e.reqid(),n=this._pending_replies.get(s);n?(this._pending_replies.delete(s),n.resolve(e)):this.session?this.session.handle(e):\"PATCH-DOC\"!=e.msgtype()&&this._pending_messages.push(e)}}n.ClientConnection=h,h.__name__=\"ClientConnection\",n.pull_session=function(e,s,n){return new h(e,s,n).connect()}},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(24);class n{constructor(e,s,t){this.header=e,this.metadata=s,this.content=t,this.buffers=new Map}static assemble(e,s,t){const r=JSON.parse(e),i=JSON.parse(s),a=JSON.parse(t);return new n(r,i,a)}assemble_buffer(e,s){const t=null!=this.header.num_buffers?this.header.num_buffers:0;if(t<=this.buffers.size)throw new Error(\"too many buffers received, expecting \"+t);const{id:r}=JSON.parse(e);this.buffers.set(r,s)}static create(e,s,t={}){const r=n.create_header(e);return new n(r,s,t)}static create_header(e){return{msgid:r.uniqueId(),msgtype:e}}complete(){return null!=this.header&&null!=this.metadata&&null!=this.content&&(null==this.header.num_buffers||this.buffers.size==this.header.num_buffers)}send(e){if((null!=this.header.num_buffers?this.header.num_buffers:0)>0)throw new Error(\"BokehJS only supports receiving buffers, not sending\");const s=JSON.stringify(this.header),t=JSON.stringify(this.metadata),r=JSON.stringify(this.content);e.send(s),e.send(t),e.send(r)}msgid(){return this.header.msgid}msgtype(){return this.header.msgtype}reqid(){return this.header.reqid}problem(){return\"msgid\"in this.header?\"msgtype\"in this.header?null:\"No msgtype in header\":\"No msgid in header\"}}t.Message=n,n.__name__=\"Message\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const _=e(362),r=e(8);class i{constructor(){this.message=null,this._partial=null,this._fragments=[],this._buf_header=null,this._current_consumer=this._HEADER}consume(e){this._current_consumer(e)}_HEADER(e){this._assume_text(e),this.message=null,this._partial=null,this._fragments=[e],this._buf_header=null,this._current_consumer=this._METADATA}_METADATA(e){this._assume_text(e),this._fragments.push(e),this._current_consumer=this._CONTENT}_CONTENT(e){this._assume_text(e),this._fragments.push(e);const[t,s,r]=this._fragments.slice(0,3);this._partial=_.Message.assemble(t,s,r),this._check_complete()}_BUFFER_HEADER(e){this._assume_text(e),this._buf_header=e,this._current_consumer=this._BUFFER_PAYLOAD}_BUFFER_PAYLOAD(e){this._assume_binary(e),this._partial.assemble_buffer(this._buf_header,e),this._check_complete()}_assume_text(e){if(!r.isString(e))throw new Error(\"Expected text fragment but received binary fragment\")}_assume_binary(e){if(!(e instanceof ArrayBuffer))throw new Error(\"Expected binary fragment but received text fragment\")}_check_complete(){this._partial.complete()?(this.message=this._partial,this._current_consumer=this._HEADER):this._current_consumer=this._BUFFER_HEADER}}s.Receiver=i,i.__name__=\"Receiver\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(5),s=e(362),c=e(72);class i{constructor(e,t,n){this._connection=e,this.document=t,this.id=n,this._document_listener=e=>{this._document_changed(e)},this.document.on_change(this._document_listener,!0)}handle(e){const t=e.msgtype();\"PATCH-DOC\"===t?this._handle_patch(e):\"OK\"===t?this._handle_ok(e):\"ERROR\"===t?this._handle_error(e):c.logger.debug(\"Doing nothing with message \"+e.msgtype())}close(){this._connection.close()}_connection_closed(){this.document.remove_on_change(this._document_listener)}async request_server_info(){const e=s.Message.create(\"SERVER-INFO-REQ\",{});return(await this._connection.send_with_reply(e)).content}async force_roundtrip(){await this.request_server_info()}_document_changed(e){if(e.setter_id===this.id)return;const t=e instanceof o.DocumentEventBatch?e.events:[e],n=this.document.create_json_patch(t),c=s.Message.create(\"PATCH-DOC\",{},n);this._connection.send(c)}_handle_patch(e){this.document.apply_json_patch(e.content,e.buffers,this.id)}_handle_ok(e){c.logger.trace(\"Unhandled OK reply to \"+e.reqid())}_handle_error(e){c.logger.error(`Unhandled ERROR reply to ${e.reqid()}: ${e.content.text}`)}}n.ClientSession=i,i.__name__=\"ClientSession\"},\n",
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{});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END bokeh.min.js */\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN bokeh-widgets.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        factory(root[\"Bokeh\"], \"2.1.1\");\n",
+       "      })(this, function(Bokeh, version) {\n",
+       "        var define;\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
+       "          if (bokeh != null) {\n",
+       "            return bokeh.register_plugin(modules, entry, aliases);\n",
+       "          } else {\n",
+       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
+       "          }\n",
+       "        })\n",
+       "      ({\n",
+       "      390: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(391));o.Widgets=r,e(7).register_models(r)},\n",
+       "      391: function _(r,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});var a=r(392);t.AbstractButton=a.AbstractButton;var o=r(395);t.AbstractIcon=o.AbstractIcon;var u=r(396);t.AutocompleteInput=u.AutocompleteInput;var n=r(401);t.Button=n.Button;var i=r(402);t.CheckboxButtonGroup=i.CheckboxButtonGroup;var v=r(404);t.CheckboxGroup=v.CheckboxGroup;var p=r(406);t.ColorPicker=p.ColorPicker;var l=r(407);t.DatePicker=l.DatePicker;var c=r(410);t.DateRangeSlider=c.DateRangeSlider;var d=r(416);t.DateSlider=d.DateSlider;var g=r(417);t.Div=g.Div;var I=r(421);t.Dropdown=I.Dropdown;var S=r(422);t.FileInput=S.FileInput;var P=r(398);t.InputWidget=P.InputWidget;var k=r(418);t.Markup=k.Markup;var x=r(423);t.MultiSelect=x.MultiSelect;var D=r(424);t.Paragraph=D.Paragraph;var b=r(425);t.PasswordInput=b.PasswordInput;var s=r(426);t.MultiChoice=s.MultiChoice;var h=r(429);t.PreText=h.PreText;var A=r(430);t.RadioButtonGroup=A.RadioButtonGroup;var B=r(431);t.RadioGroup=B.RadioGroup;var C=r(432);t.RangeSlider=C.RangeSlider;var G=r(433);t.Select=G.Select;var R=r(434);t.Slider=R.Slider;var T=r(435);t.Spinner=T.Spinner;var M=r(397);t.TextInput=M.TextInput;var w=r(436);t.TextAreaInput=w.TextAreaInput;var W=r(437);t.Toggle=W.Toggle;var _=r(458);t.Widget=_.Widget},\n",
+       "      392: function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=i.__importStar(t(18)),o=t(68),l=t(99),r=t(393),_=t(254),c=i.__importDefault(t(256));class u extends r.ControlView{*controls(){yield this.button_el}async lazy_initialize(){await super.lazy_initialize();const{icon:t}=this.model;null!=t&&(this.icon_view=await l.build_view(t,{parent:this}))}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}remove(){null!=this.icon_view&&this.icon_view.remove(),super.remove()}styles(){return[...super.styles(),c.default]}_render_button(...t){return o.button({type:\"button\",disabled:this.model.disabled,class:[_.bk_btn,_.bk_btn_type(this.model.button_type)]},...t)}render(){super.render(),this.button_el=this._render_button(this.model.label),this.button_el.addEventListener(\"click\",()=>this.click()),null!=this.icon_view&&(o.prepend(this.button_el,this.icon_view.el,o.nbsp()),this.icon_view.render()),this.group_el=o.div({class:_.bk_btn_group},this.button_el),this.el.appendChild(this.group_el)}click(){}}n.AbstractButtonView=u,u.__name__=\"AbstractButtonView\";class a extends r.Control{constructor(t){super(t)}static init_AbstractButton(){this.define({label:[s.String,\"Button\"],icon:[s.Instance],button_type:[s.ButtonType,\"default\"]})}}n.AbstractButton=a,a.__name__=\"AbstractButton\",a.init_AbstractButton()},\n",
+       "      393: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(458),n=e(68);class i extends s.WidgetView{connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,()=>{for(const e of this.controls())n.toggle_attribute(e,\"disabled\",this.model.disabled)})}}o.ControlView=i,i.__name__=\"ControlView\";class l extends s.Widget{constructor(e){super(e)}}o.Control=l,l.__name__=\"Control\"},\n",
+       "      458: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(249),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n",
+       "      395: function _(e,t,c){Object.defineProperty(c,\"__esModule\",{value:!0});const s=e(71),n=e(66);class o extends n.DOMView{}c.AbstractIconView=o,o.__name__=\"AbstractIconView\";class _ extends s.Model{constructor(e){super(e)}}c.AbstractIcon=_,_.__name__=\"AbstractIcon\"},\n",
+       "      396: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),s=e(397),h=e(68),_=i.__importStar(e(18)),o=e(10),u=e(146),r=e(255),c=i.__importDefault(e(257));class l extends s.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),c.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",e=>this._keydown(e)),this.input_el.addEventListener(\"keyup\",e=>this._keyup(e)),this.menu=h.div({class:[r.bk_menu,u.bk_below]}),this.menu.addEventListener(\"click\",e=>this._menu_click(e)),this.menu.addEventListener(\"mouseover\",e=>this._menu_hover(e)),this.el.appendChild(this.menu),h.undisplay(this.menu)}change_input(){this._open&&this.menu.children.length>0&&(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu())}_update_completions(e){h.empty(this.menu);for(const t of e){const e=h.div({},t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(u.bk_active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,h.display(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,h.undisplay(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;t<this.menu.children.length&&this.menu.children[t].textContent!=e.target.textContent;t++);this._bump_hover(t)}}_bump_hover(e){const t=this.menu.children.length;this._open&&t>0&&(this.menu.children[this._hover_index].classList.remove(u.bk_active),this._hover_index=o.clamp(e,0,t-1),this.menu.children[this._hover_index].classList.add(u.bk_active))}_keydown(e){}_keyup(e){switch(e.keyCode){case h.Keys.Enter:this.change_input();break;case h.Keys.Esc:this._hide_menu();break;case h.Keys.Up:this._bump_hover(this._hover_index-1);break;case h.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.length<this.model.min_characters)return void this._hide_menu();const t=[],{case_sensitive:n}=this.model;let i;i=n?e=>e:e=>e.toLowerCase();for(const n of this.model.completions)i(n).startsWith(i(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class a extends s.TextInput{constructor(e){super(e)}static init_AutocompleteInput(){this.prototype.default_view=l,this.define({completions:[_.Array,[]],min_characters:[_.Int,2],case_sensitive:[_.Boolean,!0]})}}n.AutocompleteInput=a,a.__name__=\"AutocompleteInput\",a.init_AutocompleteInput()},\n",
+       "      397: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),p=n.__importStar(e(18)),u=e(400);class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.value_input.change,()=>this.input_el.value=this.model.value_input),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder)}render(){super.render(),this.input_el=l.input({type:\"text\",class:u.bk_input,name:this.model.name,value:this.model.value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.input_el.addEventListener(\"input\",()=>this.change_input_oninput()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_oninput(){this.model.value_input=this.input_el.value,super.change_input()}}i.TextInputView=a,a.__name__=\"TextInputView\";class h extends s.InputWidget{constructor(e){super(e)}static init_TextInput(){this.prototype.default_view=a,this.define({value:[p.String,\"\"],value_input:[p.String,\"\"],placeholder:[p.String,\"\"]})}}i.TextInput=h,h.__name__=\"TextInput\",h.init_TextInput()},\n",
+       "      398: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),l=t(393),s=t(68),_=n.__importStar(t(18)),o=n.__importDefault(t(399)),r=t(400);class p extends l.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,()=>{this.label_el.textContent=this.model.title})}styles(){return[...super.styles(),o.default]}render(){super.render();const{title:t}=this.model;this.label_el=s.label({style:{display:0==t.length?\"none\":\"\"}},t),this.group_el=s.div({class:r.bk_input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=p,p.__name__=\"InputWidgetView\";class u extends l.Control{constructor(t){super(t)}static init_InputWidget(){this.define({title:[_.String,\"\"]})}}i.InputWidget=u,u.__name__=\"InputWidget\",u.init_InputWidget()},\n",
+       "      399: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-input {\\n  display: inline-block;\\n  width: 100%;\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  min-height: 31px;\\n  padding: 0 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n}\\n.bk-root .bk-input:focus {\\n  border-color: #66afe9;\\n  outline: 0;\\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);\\n}\\n.bk-root .bk-input::placeholder,\\n.bk-root .bk-input:-ms-input-placeholder,\\n.bk-root .bk-input::-moz-placeholder,\\n.bk-root .bk-input::-webkit-input-placeholder {\\n  color: #999;\\n  opacity: 1;\\n}\\n.bk-root .bk-input[disabled] {\\n  cursor: not-allowed;\\n  background-color: #eee;\\n  opacity: 1;\\n}\\n.bk-root select:not([multiple]).bk-input,\\n.bk-root select:not([size]).bk-input {\\n  height: auto;\\n  appearance: none;\\n  -webkit-appearance: none;\\n  background-image: url(\\'data:image/svg+xml;utf8,<svg version=\"1.1\" viewBox=\"0 0 25 20\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M 0,0 25,0 12.5,20 Z\" fill=\"black\" /></svg>\\');\\n  background-position: right 0.5em center;\\n  background-size: 8px 6px;\\n  background-repeat: no-repeat;\\n}\\n.bk-root select[multiple].bk-input,\\n.bk-root select[size].bk-input,\\n.bk-root textarea.bk-input {\\n  height: auto;\\n}\\n.bk-root .bk-input-group {\\n  width: 100%;\\n  height: 100%;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: start;\\n  -webkit-align-items: start;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  white-space: nowrap;\\n}\\n.bk-root .bk-input-group.bk-inline {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-input-group.bk-inline > *:not(:first-child) {\\n  margin-left: 5px;\\n}\\n.bk-root .bk-input-group input[type=\"checkbox\"] + span,\\n.bk-root .bk-input-group input[type=\"radio\"] + span {\\n  position: relative;\\n  top: -2px;\\n  margin-left: 3px;\\n}\\n'},\n",
+       "      400: function _(u,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.bk_input=\"bk-input\",n.bk_input_group=\"bk-input-group\"},\n",
+       "      401: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(392),o=t(291);class s extends n.AbstractButtonView{click(){this.model.clicks=this.model.clicks+1,this.model.trigger_event(new o.ButtonClick),super.click()}}i.ButtonView=s,s.__name__=\"ButtonView\";class c extends n.AbstractButton{constructor(t){super(t)}static init_Button(){this.prototype.default_view=s,this.override({label:\"Button\"})}}i.Button=c,c.__name__=\"Button\",c.init_Button()},\n",
+       "      402: function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),c=t(403),s=t(68),n=i.__importStar(t(18)),a=t(146);class u extends c.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach((e,o)=>{s.classes(e).toggle(a.bk_active,t.has(o))})}}o.CheckboxButtonGroupView=u,u.__name__=\"CheckboxButtonGroupView\";class r extends c.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=u,this.define({active:[n.Array,[]]})}}o.CheckboxButtonGroup=r,r.__name__=\"CheckboxButtonGroup\",r.init_CheckboxButtonGroup()},\n",
+       "      403: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),o=t(393),i=t(68),r=n.__importStar(t(18)),_=t(254),u=n.__importDefault(t(256));class a extends o.ControlView{*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,()=>this.render()),this.on_change(t.labels,()=>this.render()),this.on_change(t.active,()=>this._update_active())}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map((t,e)=>{const s=i.div({class:[_.bk_btn,_.bk_btn_type(this.model.button_type)],disabled:this.model.disabled},t);return s.addEventListener(\"click\",()=>this.change_active(e)),s}),this._update_active();const t=i.div({class:_.bk_btn_group},this._buttons);this.el.appendChild(t)}}s.ButtonGroupView=a,a.__name__=\"ButtonGroupView\";class l extends o.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define({labels:[r.Array,[]],button_type:[r.ButtonType,\"default\"]})}}s.ButtonGroup=l,l.__name__=\"ButtonGroup\",l.init_ButtonGroup()},\n",
+       "      404: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(405),o=e(68),c=e(9),a=n.__importStar(e(18)),l=e(146),d=e(400);class r extends s.InputGroupView{render(){super.render();const e=o.div({class:[d.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const{active:t,labels:i}=this.model;this._inputs=[];for(let n=0;n<i.length;n++){const s=o.input({type:\"checkbox\",value:\"\"+n});s.addEventListener(\"change\",()=>this.change_active(n)),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),c.includes(t,n)&&(s.checked=!0);const a=o.label({},s,o.span({},i[n]));e.appendChild(a)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}i.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class p extends s.InputGroup{constructor(e){super(e)}static init_CheckboxGroup(){this.prototype.default_view=r,this.define({active:[a.Array,[]],labels:[a.Array,[]],inline:[a.Boolean,!1]})}}i.CheckboxGroup=p,p.__name__=\"CheckboxGroup\",p.init_CheckboxGroup()},\n",
+       "      405: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),o=e(393),r=s.__importDefault(e(399));class u extends o.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}styles(){return[...super.styles(),r.default]}}n.InputGroupView=u,u.__name__=\"InputGroupView\";class _ extends o.Control{constructor(e){super(e)}}n.InputGroup=_,_.__name__=\"InputGroup\"},\n",
+       "      406: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),o=e(398),s=e(68),l=n.__importStar(e(18)),r=e(400);class c extends o.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.color.change,()=>this.input_el.value=this.model.color),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled)}render(){super.render(),this.input_el=s.input({type:\"color\",class:r.bk_input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}t.ColorPickerView=c,c.__name__=\"ColorPickerView\";class d extends o.InputWidget{constructor(e){super(e)}static init_ColorPicker(){this.prototype.default_view=c,this.define({color:[l.Color,\"#000000\"]})}}t.ColorPicker=d,d.__name__=\"ColorPicker\",d.init_ColorPicker()},\n",
+       "      407: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=n.__importDefault(e(408)),a=e(398),l=e(68),o=n.__importStar(e(18)),r=e(8),d=e(400),c=n.__importDefault(e(409));function u(e){const t=[];for(const i of e)if(r.isString(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class _ extends a.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,()=>{var t;return null===(t=this._picker)||void 0===t?void 0:t.setDate(e.value())}),this.connect(t.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",t.value())}),this.connect(i.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",i.value())}),this.connect(n.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",n.value())}),this.connect(s.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",s.value())}),this.connect(a.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",a.value())}),this.connect(l.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",l.value())})}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),c.default]}render(){null==this._picker&&(super.render(),this.input_el=l.input({type:\"text\",class:d.bk_input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=s.default(this.input_el,{defaultDate:this.model.value,minDate:this.model.min_date,maxDate:this.model.max_date,inline:this.model.inline,position:this.model.position,disable:u(this.model.disabled_dates),enable:u(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=_,_.__name__=\"DatePickerView\";class h extends a.InputWidget{constructor(e){super(e)}static init_DatePicker(){this.prototype.default_view=_,this.define({value:[o.Any],min_date:[o.Any],max_date:[o.Any],disabled_dates:[o.Any,[]],enabled_dates:[o.Any,[]],position:[o.CalendarPosition,\"auto\"],inline:[o.Boolean,!1]})}}i.DatePicker=h,h.__name__=\"DatePicker\",h.init_DatePicker()},\n",
+       "      408: function _(e,t,n){\n",
+       "      /* flatpickr v4.6.3, @license MIT */var a,i;a=this,i=function(){\"use strict\";\n",
+       "      /*! *****************************************************************************\n",
+       "              Copyright (c) Microsoft Corporation. All rights reserved.\n",
+       "              Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n",
+       "              this file except in compliance with the License. You may obtain a copy of the\n",
+       "              License at http://www.apache.org/licenses/LICENSE-2.0\n",
+       "          \n",
+       "              THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n",
+       "              KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n",
+       "              WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n",
+       "              MERCHANTABLITY OR NON-INFRINGEMENT.\n",
+       "          \n",
+       "              See the Apache Version 2.0 License for specific language governing permissions\n",
+       "              and limitations under the License.\n",
+       "              ***************************************************************************** */var e=function(){return(e=Object.assign||function(e){for(var t,n=1,a=arguments.length;n<a;n++)for(var i in t=arguments[n])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e}).apply(this,arguments)},t=[\"onChange\",\"onClose\",\"onDayCreate\",\"onDestroy\",\"onKeyDown\",\"onMonthChange\",\"onOpen\",\"onParseConfig\",\"onReady\",\"onValueUpdate\",\"onYearChange\",\"onPreCalendarPosition\"],n={_disable:[],_enable:[],allowInput:!1,altFormat:\"F j, Y\",altInput:!1,altInputClass:\"form-control input\",animate:\"object\"==typeof window&&-1===window.navigator.userAgent.indexOf(\"MSIE\"),ariaDateFormat:\"F j, Y\",clickOpens:!0,closeOnSelect:!0,conjunction:\", \",dateFormat:\"Y-m-d\",defaultHour:12,defaultMinute:0,defaultSeconds:0,disable:[],disableMobile:!1,enable:[],enableSeconds:!1,enableTime:!1,errorHandler:function(e){return\"undefined\"!=typeof 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n=t?e:e-h.currentMonth;n<0&&!0===h._hidePrevMonthArrow||n>0&&!0===h._hideNextMonthArrow||(h.currentMonth+=n,(h.currentMonth<0||h.currentMonth>11)&&(h.currentYear+=h.currentMonth>11?1:-1,h.currentMonth=(h.currentMonth+12)%12,fe(\"onYearChange\"),B()),R(),fe(\"onMonthChange\"),pe())}function z(e){return!(!h.config.appendTo||!h.config.appendTo.contains(e))||h.calendarContainer.contains(e)}function G(e){if(h.isOpen&&!h.config.inline){var t=\"function\"==typeof(r=e).composedPath?r.composedPath()[0]:r.target,n=z(t),a=t===h.input||t===h.altInput||h.element.contains(t)||e.path&&e.path.indexOf&&(~e.path.indexOf(h.input)||~e.path.indexOf(h.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!z(e.relatedTarget):!a&&!n&&!z(e.relatedTarget),o=!h.config.ignoredFocusElements.some((function(e){return e.contains(t)}));i&&o&&(void 0!==h.timeContainer&&void 0!==h.minuteElement&&void 0!==h.hourElement&&x(),h.close(),\"range\"===h.config.mode&&1===h.selectedDates.length&&(h.clear(!1),h.redraw()))}var 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0!==n&&r.getTime()===n.getTime())return a;if(\"string\"==typeof r&&void 0!==n){var l=h.parseDate(r,void 0,!0);return l&&l.getTime()===n.getTime()?a:!a}if(\"object\"==typeof r&&void 0!==n&&r.from&&r.to&&n.getTime()>=r.from.getTime()&&n.getTime()<=r.to.getTime())return a}return!a}function Q(e){return void 0!==h.daysContainer&&-1===e.className.indexOf(\"hidden\")&&h.daysContainer.contains(e)}function X(e){var t=e.target===h._input,n=h.config.allowInput,a=h.isOpen&&(!n||!t),i=h.config.inline&&t&&!n;if(13===e.keyCode&&t){if(n)return h.setDate(h._input.value,!0,e.target===h.altInput?h.config.altFormat:h.config.dateFormat),e.target.blur();h.open()}else if(z(e.target)||a||i){var o=!!h.timeContainer&&h.timeContainer.contains(e.target);switch(e.keyCode){case 13:o?(e.preventDefault(),x(),le()):ce(e);break;case 27:e.preventDefault(),le();break;case 8:case 46:t&&!h.config.allowInput&&(e.preventDefault(),h.clear());break;case 37:case 39:if(o||t)h.hourElement&&h.hourElement.focus();else if(e.preventDefault(),void 0!==h.daysContainer&&(!1===n||document.activeElement&&Q(document.activeElement))){var r=39===e.keyCode?1:-1;e.ctrlKey?(e.stopPropagation(),$(r),L(H(1),0)):L(void 0,r)}break;case 38:case 40:e.preventDefault();var l=40===e.keyCode?1:-1;h.daysContainer&&void 0!==e.target.$i||e.target===h.input||e.target===h.altInput?e.ctrlKey?(e.stopPropagation(),V(h.currentYear-l),L(H(1),0)):o||L(void 0,7*l):e.target===h.currentYearElement?V(h.currentYear-l):h.config.enableTime&&(!o&&h.hourElement&&h.hourElement.focus(),x(e),h._debouncedChange());break;case 9:if(o){var c=[h.hourElement,h.minuteElement,h.secondElement,h.amPM].concat(h.pluginElements).filter((function(e){return e})),d=c.indexOf(e.target);if(-1!==d){var s=c[d+(e.shiftKey?-1:1)];e.preventDefault(),(s||h._input).focus()}}else!h.config.noCalendar&&h.daysContainer&&h.daysContainer.contains(e.target)&&e.shiftKey&&(e.preventDefault(),h._input.focus())}}if(void 0!==h.amPM&&e.target===h.amPM)switch(e.key){case h.l10n.amPM[0].charAt(0):case h.l10n.amPM[0].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[0],E(),ve();break;case h.l10n.amPM[1].charAt(0):case h.l10n.amPM[1].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[1],E(),ve()}(t||z(e.target))&&fe(\"onKeyDown\",e)}function ee(e){if(1===h.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var t=e?e.dateObj.getTime():h.days.firstElementChild.dateObj.getTime(),n=h.parseDate(h.selectedDates[0],void 0,!0).getTime(),a=Math.min(t,h.selectedDates[0].getTime()),i=Math.max(t,h.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;c<i;c+=b)Z(new Date(c),!0)||(o=o||c>a&&c<i,c<n&&(!r||c>r)?r=c:c>n&&(!l||c<l)&&(l=c));for(var d=0;d<h.config.showMonths;d++)for(var s=h.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(t<=h.selectedDates[0].getTime()?\"startRange\":\"endRange\"),n<t&&m===n?f.classList.add(\"startRange\"):n>t&&m===n&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=n,u=t,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function te(){!h.isOpen||h.config.static||h.config.inline||oe()}function ne(){h.setDate(void 0!==h.config.minDate?new Date(h.config.minDate.getTime()):new Date,!0),k(),ve()}function ae(e){return function(t){var n=h.config[\"_\"+e+\"Date\"]=h.parseDate(t,h.config.dateFormat),a=h.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==n&&(h[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=n.getHours()>0||n.getMinutes()>0||n.getSeconds()>0),h.selectedDates&&(h.selectedDates=h.selectedDates.filter((function(e){return Z(e)})),h.selectedDates.length||\"min\"!==e||T(n),ve()),h.daysContainer&&(re(),void 0!==n?h.currentYearElement[e]=n.getFullYear().toString():h.currentYearElement.removeAttribute(e),h.currentYearElement.disabled=!!a&&void 0!==n&&a.getFullYear()===n.getFullYear())}}function ie(){\"object\"!=typeof h.config.locale&&void 0===y.l10ns[h.config.locale]&&h.config.errorHandler(new Error(\"flatpickr: invalid locale \"+h.config.locale)),h.l10n=e({},y.l10ns.default,\"object\"==typeof h.config.locale?h.config.locale:\"default\"!==h.config.locale?y.l10ns[h.config.locale]:void 0),p.K=\"(\"+h.l10n.amPM[0]+\"|\"+h.l10n.amPM[1]+\"|\"+h.l10n.amPM[0].toLowerCase()+\"|\"+h.l10n.amPM[1].toLowerCase()+\")\",void 0===e({},g,JSON.parse(JSON.stringify(f.dataset||{}))).time_24hr&&void 0===y.defaultConfig.time_24hr&&(h.config.time_24hr=h.l10n.time_24hr),h.formatDate=v(h),h.parseDate=D({config:h.config,l10n:h.l10n})}function oe(e){if(void 0!==h.calendarContainer){fe(\"onPreCalendarPosition\");var t=e||h._positionElement,n=Array.prototype.reduce.call(h.calendarContainer.children,(function(e,t){return e+t.offsetHeight}),0),a=h.calendarContainer.offsetWidth,i=h.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=t.getBoundingClientRect(),d=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&d<n&&l.top>n,u=window.pageYOffset+l.top+(s?-n-2:t.offsetHeight+2);if(c(h.calendarContainer,\"arrowTop\",!s),c(h.calendarContainer,\"arrowBottom\",s),!h.config.inline){var f=window.pageXOffset+l.left-(null!=r&&\"center\"===r?(a-l.width)/2:0),m=window.document.body.offsetWidth-(window.pageXOffset+l.right),g=f+a>window.document.body.offsetWidth,p=m+a>window.document.body.offsetWidth;if(c(h.calendarContainer,\"rightMost\",g),!h.config.static)if(h.calendarContainer.style.top=u+\"px\",g)if(p){var v=document.styleSheets[0];if(void 0===v)return;var D=window.document.body.offsetWidth,w=Math.max(0,D/2-a/2),b=v.cssRules.length,C=\"{left:\"+l.left+\"px;right:auto;}\";c(h.calendarContainer,\"rightMost\",!1),c(h.calendarContainer,\"centerMost\",!0),v.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+C,b),h.calendarContainer.style.left=w+\"px\",h.calendarContainer.style.right=\"auto\"}else h.calendarContainer.style.left=\"auto\",h.calendarContainer.style.right=m+\"px\";else h.calendarContainer.style.left=f+\"px\",h.calendarContainer.style.right=\"auto\"}}}function re(){h.config.noCalendar||h.isMobile||(pe(),R())}function le(){h._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(h.close,0):h.close()}function ce(e){e.preventDefault(),e.stopPropagation();var t=function e(t,n){return n(t)?t:t.parentNode?e(t.parentNode,n):void 0}(e.target,(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==t){var n=t,a=h.latestSelectedDateObj=new Date(n.dateObj.getTime()),i=(a.getMonth()<h.currentMonth||a.getMonth()>h.currentMonth+h.config.showMonths-1)&&\"range\"!==h.config.mode;if(h.selectedDateElem=n,\"single\"===h.config.mode)h.selectedDates=[a];else if(\"multiple\"===h.config.mode){var o=ge(a);o?h.selectedDates.splice(parseInt(o),1):h.selectedDates.push(a)}else\"range\"===h.config.mode&&(2===h.selectedDates.length&&h.clear(!1,!1),h.latestSelectedDateObj=a,h.selectedDates.push(a),0!==w(a,h.selectedDates[0],!0)&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()})));if(E(),i){var r=h.currentYear!==a.getFullYear();h.currentYear=a.getFullYear(),h.currentMonth=a.getMonth(),r&&(fe(\"onYearChange\"),B()),fe(\"onMonthChange\")}if(pe(),R(),ve(),h.config.enableTime&&setTimeout((function(){return h.showTimeInput=!0}),50),i||\"range\"===h.config.mode||1!==h.config.showMonths?void 0!==h.selectedDateElem&&void 0===h.hourElement&&h.selectedDateElem&&h.selectedDateElem.focus():j(n),void 0!==h.hourElement&&void 0!==h.hourElement&&h.hourElement.focus(),h.config.closeOnSelect){var l=\"single\"===h.config.mode&&!h.config.enableTime,c=\"range\"===h.config.mode&&2===h.selectedDates.length&&!h.config.enableTime;(l||c)&&le()}F()}}h.parseDate=D({config:h.config,l10n:h.l10n}),h._handlers=[],h.pluginElements=[],h.loadedPlugins=[],h._bind=O,h._setHoursFromDate=T,h._positionCalendar=oe,h.changeMonth=$,h.changeYear=V,h.clear=function(e,t){void 0===e&&(e=!0),void 0===t&&(t=!0),h.input.value=\"\",void 0!==h.altInput&&(h.altInput.value=\"\"),void 0!==h.mobileInput&&(h.mobileInput.value=\"\"),h.selectedDates=[],h.latestSelectedDateObj=void 0,!0===t&&(h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth()),h.showTimeInput=!1,!0===h.config.enableTime&&k(),h.redraw(),e&&fe(\"onChange\")},h.close=function(){h.isOpen=!1,h.isMobile||(void 0!==h.calendarContainer&&h.calendarContainer.classList.remove(\"open\"),void 0!==h._input&&h._input.classList.remove(\"active\")),fe(\"onClose\")},h._createElement=d,h.destroy=function(){void 0!==h.config&&fe(\"onDestroy\");for(var e=h._handlers.length;e--;){var t=h._handlers[e];t.element.removeEventListener(t.event,t.handler,t.options)}if(h._handlers=[],h.mobileInput)h.mobileInput.parentNode&&h.mobileInput.parentNode.removeChild(h.mobileInput),h.mobileInput=void 0;else if(h.calendarContainer&&h.calendarContainer.parentNode)if(h.config.static&&h.calendarContainer.parentNode){var n=h.calendarContainer.parentNode;if(n.lastChild&&n.removeChild(n.lastChild),n.parentNode){for(;n.firstChild;)n.parentNode.insertBefore(n.firstChild,n);n.parentNode.removeChild(n)}}else h.calendarContainer.parentNode.removeChild(h.calendarContainer);h.altInput&&(h.input.type=\"text\",h.altInput.parentNode&&h.altInput.parentNode.removeChild(h.altInput),delete 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0!==h.mobileInput&&(h.mobileInput.focus(),h.mobileInput.click()),void fe(\"onOpen\");if(!h._input.disabled&&!h.config.inline){var n=h.isOpen;h.isOpen=!0,n||(h.calendarContainer.classList.add(\"open\"),h._input.classList.add(\"active\"),fe(\"onOpen\"),oe(t)),!0===h.config.enableTime&&!0===h.config.noCalendar&&(0===h.selectedDates.length&&ne(),!1!==h.config.allowInput||void 0!==e&&h.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return h.hourElement.select()}),50))}},h.redraw=re,h.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(h.config,e),e)void 0!==de[a]&&de[a].forEach((function(e){return e()}));else h.config[e]=n,void 0!==de[e]?de[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(h.config[e]=l(n));h.redraw(),ve(!1)},h.setDate=function(e,t,n){if(void 0===t&&(t=!1),void 0===n&&(n=h.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return h.clear(t);se(e,n),h.showTimeInput=h.selectedDates.length>0,h.latestSelectedDateObj=h.selectedDates[h.selectedDates.length-1],h.redraw(),N(),T(),0===h.selectedDates.length&&h.clear(!1),ve(t),t&&fe(\"onChange\")},h.toggle=function(e){if(!0===h.isOpen)return h.close();h.open(e)};var de={locale:[ie,q],showMonths:[K,M,U],minDate:[N],maxDate:[N]};function se(e,t){var n=[];if(e instanceof Array)n=e.map((function(e){return h.parseDate(e,t)}));else if(e instanceof Date||\"number\"==typeof e)n=[h.parseDate(e,t)];else if(\"string\"==typeof e)switch(h.config.mode){case\"single\":case\"time\":n=[h.parseDate(e,t)];break;case\"multiple\":n=e.split(h.config.conjunction).map((function(e){return h.parseDate(e,t)}));break;case\"range\":n=e.split(h.l10n.rangeSeparator).map((function(e){return h.parseDate(e,t)}))}else h.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));h.selectedDates=n.filter((function(e){return e instanceof Date&&Z(e,!1)})),\"range\"===h.config.mode&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()}))}function ue(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?h.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:h.parseDate(e.from,void 0),to:h.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function fe(e,t){if(void 0!==h.config){var n=h.config[e];if(void 0!==n&&n.length>0)for(var a=0;n[a]&&a<n.length;a++)n[a](h.selectedDates,h.input.value,h,t);\"onChange\"===e&&(h.input.dispatchEvent(me(\"change\")),h.input.dispatchEvent(me(\"input\")))}}function me(e){var t=document.createEvent(\"Event\");return t.initEvent(e,!0,!0),t}function ge(e){for(var t=0;t<h.selectedDates.length;t++)if(0===w(h.selectedDates[t],e))return\"\"+t;return!1}function pe(){h.config.noCalendar||h.isMobile||!h.monthNav||(h.yearElements.forEach((function(e,t){var n=new Date(h.currentYear,h.currentMonth,1);n.setMonth(h.currentMonth+t),h.config.showMonths>1||\"static\"===h.config.monthSelectorType?h.monthElements[t].textContent=m(n.getMonth(),h.config.shorthandCurrentMonth,h.l10n)+\" \":h.monthsDropdownContainer.value=n.getMonth().toString(),e.value=n.getFullYear().toString()})),h._hidePrevMonthArrow=void 0!==h.config.minDate&&(h.currentYear===h.config.minDate.getFullYear()?h.currentMonth<=h.config.minDate.getMonth():h.currentYear<h.config.minDate.getFullYear()),h._hideNextMonthArrow=void 0!==h.config.maxDate&&(h.currentYear===h.config.maxDate.getFullYear()?h.currentMonth+1>h.config.maxDate.getMonth():h.currentYear>h.config.maxDate.getFullYear()))}function he(e){return h.selectedDates.map((function(t){return h.formatDate(t,e)})).filter((function(e,t,n){return\"range\"!==h.config.mode||h.config.enableTime||n.indexOf(e)===t})).join(\"range\"!==h.config.mode?h.config.conjunction:h.l10n.rangeSeparator)}function ve(e){void 0===e&&(e=!0),void 0!==h.mobileInput&&h.mobileFormatStr&&(h.mobileInput.value=void 0!==h.latestSelectedDateObj?h.formatDate(h.latestSelectedDateObj,h.mobileFormatStr):\"\"),h.input.value=he(h.config.dateFormat),void 0!==h.altInput&&(h.altInput.value=he(h.config.altFormat)),!1!==e&&fe(\"onValueUpdate\")}function De(e){var t=h.prevMonthNav.contains(e.target),n=h.nextMonthNav.contains(e.target);t||n?$(t?-1:1):h.yearElements.indexOf(e.target)>=0?e.target.select():e.target.classList.contains(\"arrowUp\")?h.changeYear(h.currentYear+1):e.target.classList.contains(\"arrowDown\")&&h.changeYear(h.currentYear-1)}return function(){h.element=h.input=f,h.isOpen=!1,function(){var 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-webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  overflow: hidden;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\n.flatpickr-months .flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month {\\n  text-decoration: none;\\n  cursor: pointer;\\n  position: absolute;\\n  top: 0;\\n  height: 34px;\\n  padding: 10px;\\n  z-index: 3;\\n  color: rgba(0, 0, 0, 0.9);\\n  fill: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-disabled,\\n.flatpickr-months .flatpickr-next-month.flatpickr-disabled {\\n  display: none;\\n}\\n.flatpickr-months .flatpickr-prev-month i,\\n.flatpickr-months .flatpickr-next-month i {\\n  position: relative;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-prev-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  left: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month.flatpickr-next-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-next-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  right: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month:hover,\\n.flatpickr-months .flatpickr-next-month:hover {\\n  color: #959ea9;\\n}\\n.flatpickr-months .flatpickr-prev-month:hover svg,\\n.flatpickr-months .flatpickr-next-month:hover svg {\\n  fill: #f64747;\\n}\\n.flatpickr-months .flatpickr-prev-month svg,\\n.flatpickr-months .flatpickr-next-month svg {\\n  width: 14px;\\n  height: 14px;\\n}\\n.flatpickr-months .flatpickr-prev-month svg path,\\n.flatpickr-months .flatpickr-next-month svg path {\\n  -webkit-transition: fill 0.1s;\\n  transition: fill 0.1s;\\n  fill: inherit;\\n}\\n.numInputWrapper {\\n  position: relative;\\n  height: auto;\\n}\\n.numInputWrapper input,\\n.numInputWrapper span {\\n  display: inline-block;\\n}\\n.numInputWrapper input {\\n  width: 100%;\\n}\\n.numInputWrapper input::-ms-clear {\\n  display: none;\\n}\\n.numInputWrapper input::-webkit-outer-spin-button,\\n.numInputWrapper input::-webkit-inner-spin-button {\\n  margin: 0;\\n  -webkit-appearance: none;\\n}\\n.numInputWrapper span {\\n  position: absolute;\\n  right: 0;\\n  width: 14px;\\n  padding: 0 4px 0 2px;\\n  height: 50%;\\n  line-height: 50%;\\n  opacity: 0;\\n  cursor: pointer;\\n  border: 1px solid rgba(57, 57, 57, 0.15);\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.numInputWrapper span:hover {\\n  background: rgba(0, 0, 0, 0.1);\\n}\\n.numInputWrapper span:active {\\n  background: rgba(0, 0, 0, 0.2);\\n}\\n.numInputWrapper span:after {\\n  display: block;\\n  content: \"\";\\n  position: absolute;\\n}\\n.numInputWrapper span.arrowUp {\\n  top: 0;\\n  border-bottom: 0;\\n}\\n.numInputWrapper span.arrowUp:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-bottom: 4px solid rgba(57, 57, 57, 0.6);\\n  top: 26%;\\n}\\n.numInputWrapper span.arrowDown {\\n  top: 50%;\\n}\\n.numInputWrapper span.arrowDown:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-top: 4px solid rgba(57, 57, 57, 0.6);\\n  top: 40%;\\n}\\n.numInputWrapper span svg {\\n  width: inherit;\\n  height: auto;\\n}\\n.numInputWrapper span svg path {\\n  fill: rgba(0, 0, 0, 0.5);\\n}\\n.numInputWrapper:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.numInputWrapper:hover span {\\n  opacity: 1;\\n}\\n.flatpickr-current-month {\\n  font-size: 135%;\\n  line-height: inherit;\\n  font-weight: 300;\\n  color: inherit;\\n  position: absolute;\\n  width: 75%;\\n  left: 12.5%;\\n  padding: 7.48px 0 0 0;\\n  line-height: 1;\\n  height: 34px;\\n  display: inline-block;\\n  text-align: center;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n}\\n.flatpickr-current-month span.cur-month {\\n  font-family: inherit;\\n  font-weight: 700;\\n  color: inherit;\\n  display: inline-block;\\n  margin-left: 0.5ch;\\n  padding: 0;\\n}\\n.flatpickr-current-month span.cur-month:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .numInputWrapper {\\n  width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(0, 0, 0, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: transparent;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: transparent;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: transparent;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: transparent;\\n  color: rgba(0, 0, 0, 0.54);\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #e6e6e6;\\n  box-shadow: -1px 0 0 #e6e6e6;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #393939;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e6e6e6;\\n  border-color: #e6e6e6;\\n}\\n.flatpickr-day.today {\\n  border-color: #959ea9;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #959ea9;\\n  background: #959ea9;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #569ff7;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #569ff7;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #569ff7;\\n  box-shadow: -10px 0 0 #569ff7;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(57, 57, 57, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n  box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  -webkit-box-shadow: 1px 0 0 #e6e6e6;\\n  box-shadow: 1px 0 0 #e6e6e6;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #393939;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #393939;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #393939;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #393939;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eee;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n.flatpickr-calendar {\\n  background: transparent;\\n  opacity: 0;\\n  display: none;\\n  text-align: center;\\n  visibility: hidden;\\n  padding: 0;\\n  -webkit-animation: none;\\n  animation: none;\\n  direction: ltr;\\n  border: 0;\\n  font-size: 14px;\\n  line-height: 24px;\\n  border-radius: 5px;\\n  position: absolute;\\n  width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -ms-touch-action: manipulation;\\n  touch-action: manipulation;\\n  -webkit-box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n  box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n}\\n.flatpickr-calendar.open,\\n.flatpickr-calendar.inline {\\n  opacity: 1;\\n  max-height: 640px;\\n  visibility: visible;\\n}\\n.flatpickr-calendar.open {\\n  display: inline-block;\\n  z-index: 99999;\\n}\\n.flatpickr-calendar.animate.open {\\n  -webkit-animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n  animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n}\\n.flatpickr-calendar.inline {\\n  display: block;\\n  position: relative;\\n  top: 2px;\\n}\\n.flatpickr-calendar.static {\\n  position: absolute;\\n  top: calc(100% + 2px);\\n}\\n.flatpickr-calendar.static.open {\\n  z-index: 999;\\n  display: block;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+1) .flatpickr-day.inRange:nth-child(7n+7) {\\n  -webkit-box-shadow: none !important;\\n  box-shadow: none !important;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+2) .flatpickr-day.inRange:nth-child(7n+1) {\\n  -webkit-box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer,\\n.flatpickr-calendar .hasTime .dayContainer {\\n  border-bottom: 0;\\n  border-bottom-right-radius: 0;\\n  border-bottom-left-radius: 0;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer {\\n  border-left: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  height: 40px;\\n  border-top: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-innerContainer {\\n  border-bottom: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  border: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.noCalendar.hasTime .flatpickr-time {\\n  height: auto;\\n}\\n.flatpickr-calendar:before,\\n.flatpickr-calendar:after {\\n  position: absolute;\\n  display: block;\\n  pointer-events: none;\\n  border: solid transparent;\\n  content: \\'\\';\\n  height: 0;\\n  width: 0;\\n  left: 22px;\\n}\\n.flatpickr-calendar.rightMost:before,\\n.flatpickr-calendar.rightMost:after {\\n  left: auto;\\n  right: 22px;\\n}\\n.flatpickr-calendar:before {\\n  border-width: 5px;\\n  margin: 0 -5px;\\n}\\n.flatpickr-calendar:after {\\n  border-width: 4px;\\n  margin: 0 -4px;\\n}\\n.flatpickr-calendar.arrowTop:before,\\n.flatpickr-calendar.arrowTop:after {\\n  bottom: 100%;\\n}\\n.flatpickr-calendar.arrowTop:before {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowTop:after {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:before,\\n.flatpickr-calendar.arrowBottom:after {\\n  top: 100%;\\n}\\n.flatpickr-calendar.arrowBottom:before {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:after {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar:focus {\\n  outline: 0;\\n}\\n.flatpickr-wrapper {\\n  position: relative;\\n  display: inline-block;\\n}\\n.flatpickr-months {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-months .flatpickr-month {\\n  border-radius: 5px 5px 0 0;\\n  background: #eceef1;\\n  color: #5a6171;\\n  fill: #5a6171;\\n  height: 34px;\\n  line-height: 1;\\n  text-align: center;\\n  position: relative;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  overflow: hidden;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\n.flatpickr-months .flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month {\\n  text-decoration: none;\\n  cursor: pointer;\\n  position: absolute;\\n  top: 0;\\n  height: 34px;\\n  padding: 10px;\\n  z-index: 3;\\n  color: #5a6171;\\n  fill: #5a6171;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-disabled,\\n.flatpickr-months .flatpickr-next-month.flatpickr-disabled {\\n  display: none;\\n}\\n.flatpickr-months .flatpickr-prev-month i,\\n.flatpickr-months .flatpickr-next-month i {\\n  position: relative;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-prev-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  left: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month.flatpickr-next-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-next-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  right: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month:hover,\\n.flatpickr-months .flatpickr-next-month:hover {\\n  color: #bbb;\\n}\\n.flatpickr-months .flatpickr-prev-month:hover svg,\\n.flatpickr-months .flatpickr-next-month:hover svg {\\n  fill: #f64747;\\n}\\n.flatpickr-months .flatpickr-prev-month svg,\\n.flatpickr-months .flatpickr-next-month svg {\\n  width: 14px;\\n  height: 14px;\\n}\\n.flatpickr-months .flatpickr-prev-month svg path,\\n.flatpickr-months .flatpickr-next-month svg path {\\n  -webkit-transition: fill 0.1s;\\n  transition: fill 0.1s;\\n  fill: inherit;\\n}\\n.numInputWrapper {\\n  position: relative;\\n  height: auto;\\n}\\n.numInputWrapper input,\\n.numInputWrapper span {\\n  display: inline-block;\\n}\\n.numInputWrapper input {\\n  width: 100%;\\n}\\n.numInputWrapper input::-ms-clear {\\n  display: none;\\n}\\n.numInputWrapper input::-webkit-outer-spin-button,\\n.numInputWrapper input::-webkit-inner-spin-button {\\n  margin: 0;\\n  -webkit-appearance: none;\\n}\\n.numInputWrapper span {\\n  position: absolute;\\n  right: 0;\\n  width: 14px;\\n  padding: 0 4px 0 2px;\\n  height: 50%;\\n  line-height: 50%;\\n  opacity: 0;\\n  cursor: pointer;\\n  border: 1px solid rgba(72, 72, 72, 0.15);\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.numInputWrapper span:hover {\\n  background: rgba(0, 0, 0, 0.1);\\n}\\n.numInputWrapper span:active {\\n  background: rgba(0, 0, 0, 0.2);\\n}\\n.numInputWrapper span:after {\\n  display: block;\\n  content: \"\";\\n  position: absolute;\\n}\\n.numInputWrapper span.arrowUp {\\n  top: 0;\\n  border-bottom: 0;\\n}\\n.numInputWrapper span.arrowUp:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-bottom: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 26%;\\n}\\n.numInputWrapper span.arrowDown {\\n  top: 50%;\\n}\\n.numInputWrapper span.arrowDown:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-top: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 40%;\\n}\\n.numInputWrapper span svg {\\n  width: inherit;\\n  height: auto;\\n}\\n.numInputWrapper span svg path {\\n  fill: rgba(90, 97, 113, 0.5);\\n}\\n.numInputWrapper:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.numInputWrapper:hover span {\\n  opacity: 1;\\n}\\n.flatpickr-current-month {\\n  font-size: 135%;\\n  line-height: inherit;\\n  font-weight: 300;\\n  color: inherit;\\n  position: absolute;\\n  width: 75%;\\n  left: 12.5%;\\n  padding: 7.48px 0 0 0;\\n  line-height: 1;\\n  height: 34px;\\n  display: inline-block;\\n  text-align: center;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n}\\n.flatpickr-current-month span.cur-month {\\n  font-family: inherit;\\n  font-weight: 700;\\n  color: inherit;\\n  display: inline-block;\\n  margin-left: 0.5ch;\\n  padding: 0;\\n}\\n.flatpickr-current-month span.cur-month:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .numInputWrapper {\\n  width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #5a6171;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: #5a6171;\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(90, 97, 113, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: #eceef1;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: #eceef1;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: #eceef1;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: #eceef1;\\n  color: #5a6171;\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n  border-left: 1px solid #eceef1;\\n  border-right: 1px solid #eceef1;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #eceef1;\\n  box-shadow: -1px 0 0 #eceef1;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #484848;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e2e2e2;\\n  border-color: #e2e2e2;\\n}\\n.flatpickr-day.today {\\n  border-color: #bbb;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #bbb;\\n  background: #bbb;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #ff5a5f;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #ff5a5f;\\n  box-shadow: -10px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n  box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(72, 72, 72, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n  box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  border-left: 1px solid #eceef1;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  background: #fff;\\n  border-bottom: 1px solid #eceef1;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  background: #fff;\\n  border-radius: 0 0 5px 5px;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #484848;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #484848;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #484848;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #484848;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eaeaea;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\nspan.flatpickr-day.selected {\\n  font-weight: bold;\\n}\\n'},\n",
+       "      410: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(1).__importDefault(e(159)),r=e(411);class n extends r.AbstractRangeSliderView{}a.DateRangeSliderView=n,n.__name__=\"DateRangeSliderView\";class d extends r.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_DateRangeSlider(){this.prototype.default_view=n,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return i.default(e,t)}}a.DateRangeSlider=d,d.__name__=\"DateRangeSlider\",d.init_DateRangeSlider()},\n",
+       "      411: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=i.__importStar(e(412)),r=i.__importStar(e(18)),o=e(68),n=e(9),a=e(393),d=e(413),h=e(400),_=i.__importDefault(e(414)),c=i.__importDefault(e(415));class u extends a.ControlView{*controls(){yield this.slider_el}get noUiSlider(){return this.slider_el.noUiSlider}connect_signals(){super.connect_signals();const{direction:e,orientation:t,tooltips:s}=this.model.properties;this.on_change([e,t,s],()=>this.render());const{start:i,end:l,value:r,step:o,title:n}=this.model.properties;this.on_change([i,l,r,o],()=>{const{start:e,end:t,value:s,step:i}=this._calc_to();this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i})});const{bar_color:a}=this.model.properties;this.on_change(a,()=>{this._set_bar_color()});const{show_value:d}=this.model.properties;this.on_change([r,n,d],()=>this._update_title())}styles(){return[...super.styles(),_.default,c.default]}_update_title(){o.empty(this.title_el);const e=null==this.model.title||0==this.model.title.length&&!this.model.show_value;if(this.title_el.style.display=e?\"none\":\"\",!e&&(0!=this.model.title.length&&(this.title_el.textContent=this.model.title+\": \"),this.model.show_value)){const{value:e}=this._calc_to(),t=e.map(e=>this.model.pretty(e)).join(\" .. \");this.title_el.appendChild(o.span({class:d.bk_slider_value},t))}}_set_bar_color(){if(!this.model.disabled){this.slider_el.querySelector(\".noUi-connect\").style.backgroundColor=this.model.bar_color}}_keypress_handle(e,t=0){const{start:s,value:i,end:l,step:r}=this._calc_to(),o=2==i.length;let n=s,a=l;switch(o&&0==t?a=i[1]:o&&1==t&&(n=i[0]),e.which){case 37:i[t]=Math.max(i[t]-r,n);break;case 39:i[t]=Math.min(i[t]+r,a);break;default:return}this.model.value=o?i:i[0],this.model.properties.value.change.emit(),this.model.value_throttled=this.model.value,this.noUiSlider.set(i)}render(){super.render();const{start:e,end:t,value:s,step:i}=this._calc_to();let r;if(this.model.tooltips){const e={to:e=>this.model.pretty(e)};r=n.repeat(e,s.length)}else r=!1;if(null==this.slider_el){this.slider_el=o.div(),l.create(this.slider_el,{range:{min:e,max:t},start:s,step:i,behaviour:this.model.behaviour,connect:this.model.connected,tooltips:r,orientation:this.model.orientation,direction:this.model.direction}),this.noUiSlider.on(\"slide\",(e,t,s)=>this._slide(s)),this.noUiSlider.on(\"change\",(e,t,s)=>this._change(s)),this._set_keypress_handles();const n=(e,t)=>{if(!r)return;this.slider_el.querySelectorAll(\".noUi-handle\")[e].querySelector(\".noUi-tooltip\").style.display=t?\"block\":\"\"};this.noUiSlider.on(\"start\",(e,t)=>n(t,!0)),this.noUiSlider.on(\"end\",(e,t)=>n(t,!1))}else this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i});this._set_bar_color(),this.model.disabled?this.slider_el.setAttribute(\"disabled\",\"true\"):this.slider_el.removeAttribute(\"disabled\"),this.title_el=o.div({class:d.bk_slider_title}),this._update_title(),this.group_el=o.div({class:h.bk_input_group},this.title_el,this.slider_el),this.el.appendChild(this.group_el)}_slide(e){this.model.value=this._calc_from(e)}_change(e){this.model.value=this._calc_from(e),this.model.value_throttled=this.model.value}}u.__name__=\"AbstractBaseSliderView\";class m extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:[this.model.value],step:this.model.step}}_calc_from([e]){return Number.isInteger(this.model.start)&&Number.isInteger(this.model.end)&&Number.isInteger(this.model.step)?Math.round(e):e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e))}}s.AbstractSliderView=m,m.__name__=\"AbstractSliderView\";class p extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:this.model.value,step:this.model.step}}_calc_from(e){return e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle-lower\"),t=this.slider_el.querySelector(\".noUi-handle-upper\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e,0)),t.setAttribute(\"tabindex\",\"1\"),t.addEventListener(\"keydown\",e=>this._keypress_handle(e,1))}}s.AbstractRangeSliderView=p,p.__name__=\"AbstractRangeSliderView\";class b extends a.Control{constructor(e){super(e),this.connected=!1}static init_AbstractSlider(){this.define({title:[r.String,\"\"],show_value:[r.Boolean,!0],start:[r.Any],end:[r.Any],value:[r.Any],value_throttled:[r.Any],step:[r.Number,1],format:[r.Any],direction:[r.Any,\"ltr\"],tooltips:[r.Boolean,!0],bar_color:[r.Color,\"#e6e6e6\"]})}_formatter(e,t){return\"\"+e}pretty(e){return this._formatter(e,this.format)}}s.AbstractSlider=b,b.__name__=\"AbstractSlider\",b.init_AbstractSlider()},\n",
+       "      412: function _(t,e,r){\n",
+       "      /*! nouislider - 14.5.0 - 5/11/2020 */\n",
+       "      var n;n=function(){\"use strict\";var t=\"14.5.0\";function e(t){t.parentElement.removeChild(t)}function r(t){return null!=t}function n(t){t.preventDefault()}function i(t){return\"number\"==typeof t&&!isNaN(t)&&isFinite(t)}function o(t,e,r){r>0&&(u(t,e),setTimeout((function(){c(t,e)}),r))}function s(t){return Math.max(Math.min(t,100),0)}function a(t){return Array.isArray(t)?t:[t]}function l(t){var e=(t=String(t)).split(\".\");return e.length>1?e[1].length:0}function u(t,e){t.classList&&!/\\s/.test(e)?t.classList.add(e):t.className+=\" \"+e}function c(t,e){t.classList&&!/\\s/.test(e)?t.classList.remove(e):t.className=t.className.replace(new RegExp(\"(^|\\\\b)\"+e.split(\" \").join(\"|\")+\"(\\\\b|$)\",\"gi\"),\" \")}function p(t){var e=void 0!==window.pageXOffset,r=\"CSS1Compat\"===(t.compatMode||\"\");return{x:e?window.pageXOffset:r?t.documentElement.scrollLeft:t.body.scrollLeft,y:e?window.pageYOffset:r?t.documentElement.scrollTop:t.body.scrollTop}}function f(t,e){return 100/(e-t)}function d(t,e,r){return 100*e/(t[r+1]-t[r])}function h(t,e){for(var r=1;t>=e[r];)r+=1;return r}function m(t,e,r){if(r>=t.slice(-1)[0])return 100;var n=h(r,t),i=t[n-1],o=t[n],s=e[n-1],a=e[n];return s+function(t,e){return d(t,t[0]<0?e+Math.abs(t[0]):e-t[0],0)}([i,o],r)/f(s,a)}function g(t,e,r,n){if(100===n)return n;var i=h(n,t),o=t[i-1],s=t[i];return r?n-o>(s-o)/2?s:o:e[i-1]?t[i-1]+function(t,e){return Math.round(t/e)*e}(n-t[i-1],e[i-1]):n}function v(t,e,r){var n;if(\"number\"==typeof e&&(e=[e]),!Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'range' contains invalid value.\");if(!i(n=\"min\"===t?0:\"max\"===t?100:parseFloat(t))||!i(e[0]))throw new Error(\"noUiSlider (14.5.0): 'range' value isn't numeric.\");r.xPct.push(n),r.xVal.push(e[0]),n?r.xSteps.push(!isNaN(e[1])&&e[1]):isNaN(e[1])||(r.xSteps[0]=e[1]),r.xHighestCompleteStep.push(0)}function x(t,e,r){if(e)if(r.xVal[t]!==r.xVal[t+1]){r.xSteps[t]=d([r.xVal[t],r.xVal[t+1]],e,0)/f(r.xPct[t],r.xPct[t+1]);var n=(r.xVal[t+1]-r.xVal[t])/r.xNumSteps[t],i=Math.ceil(Number(n.toFixed(3))-1),o=r.xVal[t]+r.xNumSteps[t]*i;r.xHighestCompleteStep[t]=o}else r.xSteps[t]=r.xHighestCompleteStep[t]=r.xVal[t]}function b(t,e,r){var n;this.xPct=[],this.xVal=[],this.xSteps=[r||!1],this.xNumSteps=[!1],this.xHighestCompleteStep=[],this.snap=e;var i=[];for(n in t)t.hasOwnProperty(n)&&i.push([t[n],n]);for(i.length&&\"object\"==typeof i[0][0]?i.sort((function(t,e){return t[0][0]-e[0][0]})):i.sort((function(t,e){return t[0]-e[0]})),n=0;n<i.length;n++)v(i[n][1],i[n][0],this);for(this.xNumSteps=this.xSteps.slice(0),n=0;n<this.xNumSteps.length;n++)x(n,this.xNumSteps[n],this)}b.prototype.getDistance=function(t){var e,r=[];for(e=0;e<this.xNumSteps.length-1;e++){var n=this.xNumSteps[e];if(n&&t/n%1!=0)throw new Error(\"noUiSlider (14.5.0): 'limit', 'margin' and 'padding' of \"+this.xPct[e]+\"% range must be divisible by step.\");r[e]=d(this.xVal,t,e)}return r},b.prototype.getAbsoluteDistance=function(t,e,r){var n,i=0;if(t<this.xPct[this.xPct.length-1])for(;t>this.xPct[i+1];)i++;else t===this.xPct[this.xPct.length-1]&&(i=this.xPct.length-2);r||t!==this.xPct[i+1]||i++;var o=1,s=e[i],a=0,l=0,u=0,c=0;for(n=r?(t-this.xPct[i])/(this.xPct[i+1]-this.xPct[i]):(this.xPct[i+1]-t)/(this.xPct[i+1]-this.xPct[i]);s>0;)a=this.xPct[i+1+c]-this.xPct[i+c],e[i+c]*o+100-100*n>100?(l=a*n,o=(s-100*n)/e[i+c],n=1):(l=e[i+c]*a/100*o,o=0),r?(u-=l,this.xPct.length+c>=1&&c--):(u+=l,this.xPct.length-c>=1&&c++),s=e[i+c]*o;return t+u},b.prototype.toStepping=function(t){return t=m(this.xVal,this.xPct,t)},b.prototype.fromStepping=function(t){return function(t,e,r){if(r>=100)return t.slice(-1)[0];var n=h(r,e),i=t[n-1],o=t[n],s=e[n-1];return function(t,e){return e*(t[1]-t[0])/100+t[0]}([i,o],(r-s)*f(s,e[n]))}(this.xVal,this.xPct,t)},b.prototype.getStep=function(t){return t=g(this.xPct,this.xSteps,this.snap,t)},b.prototype.getDefaultStep=function(t,e,r){var n=h(t,this.xPct);return(100===t||e&&t===this.xPct[n-1])&&(n=Math.max(n-1,1)),(this.xVal[n]-this.xVal[n-1])/r},b.prototype.getNearbySteps=function(t){var e=h(t,this.xPct);return{stepBefore:{startValue:this.xVal[e-2],step:this.xNumSteps[e-2],highestStep:this.xHighestCompleteStep[e-2]},thisStep:{startValue:this.xVal[e-1],step:this.xNumSteps[e-1],highestStep:this.xHighestCompleteStep[e-1]},stepAfter:{startValue:this.xVal[e],step:this.xNumSteps[e],highestStep:this.xHighestCompleteStep[e]}}},b.prototype.countStepDecimals=function(){var t=this.xNumSteps.map(l);return Math.max.apply(null,t)},b.prototype.convert=function(t){return this.getStep(this.toStepping(t))};var S={to:function(t){return void 0!==t&&t.toFixed(2)},from:Number},w={target:\"target\",base:\"base\",origin:\"origin\",handle:\"handle\",handleLower:\"handle-lower\",handleUpper:\"handle-upper\",touchArea:\"touch-area\",horizontal:\"horizontal\",vertical:\"vertical\",background:\"background\",connect:\"connect\",connects:\"connects\",ltr:\"ltr\",rtl:\"rtl\",textDirectionLtr:\"txt-dir-ltr\",textDirectionRtl:\"txt-dir-rtl\",draggable:\"draggable\",drag:\"state-drag\",tap:\"state-tap\",active:\"active\",tooltip:\"tooltip\",pips:\"pips\",pipsHorizontal:\"pips-horizontal\",pipsVertical:\"pips-vertical\",marker:\"marker\",markerHorizontal:\"marker-horizontal\",markerVertical:\"marker-vertical\",markerNormal:\"marker-normal\",markerLarge:\"marker-large\",markerSub:\"marker-sub\",value:\"value\",valueHorizontal:\"value-horizontal\",valueVertical:\"value-vertical\",valueNormal:\"value-normal\",valueLarge:\"value-large\",valueSub:\"value-sub\"};function y(t){if(function(t){return\"object\"==typeof t&&\"function\"==typeof t.to&&\"function\"==typeof t.from}(t))return!0;throw new Error(\"noUiSlider (14.5.0): 'format' requires 'to' and 'from' methods.\")}function E(t,e){if(!i(e))throw new Error(\"noUiSlider (14.5.0): 'step' is not numeric.\");t.singleStep=e}function C(t,e){if(\"object\"!=typeof e||Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'range' is not an object.\");if(void 0===e.min||void 0===e.max)throw new Error(\"noUiSlider (14.5.0): Missing 'min' or 'max' in 'range'.\");if(e.min===e.max)throw new Error(\"noUiSlider (14.5.0): 'range' 'min' and 'max' cannot be equal.\");t.spectrum=new b(e,t.snap,t.singleStep)}function N(t,e){if(e=a(e),!Array.isArray(e)||!e.length)throw new Error(\"noUiSlider (14.5.0): 'start' option is incorrect.\");t.handles=e.length,t.start=e}function P(t,e){if(t.snap=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'snap' option must be a boolean.\")}function U(t,e){if(t.animate=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'animate' option must be a boolean.\")}function A(t,e){if(t.animationDuration=e,\"number\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'animationDuration' option must be a number.\")}function V(t,e){var r,n=[!1];if(\"lower\"===e?e=[!0,!1]:\"upper\"===e&&(e=[!1,!0]),!0===e||!1===e){for(r=1;r<t.handles;r++)n.push(e);n.push(!1)}else{if(!Array.isArray(e)||!e.length||e.length!==t.handles+1)throw new Error(\"noUiSlider (14.5.0): 'connect' option doesn't match handle count.\");n=e}t.connect=n}function k(t,e){switch(e){case\"horizontal\":t.ort=0;break;case\"vertical\":t.ort=1;break;default:throw new Error(\"noUiSlider (14.5.0): 'orientation' option is invalid.\")}}function D(t,e){if(!i(e))throw new Error(\"noUiSlider (14.5.0): 'margin' option must be numeric.\");0!==e&&(t.margin=t.spectrum.getDistance(e))}function M(t,e){if(!i(e))throw new Error(\"noUiSlider (14.5.0): 'limit' option must be numeric.\");if(t.limit=t.spectrum.getDistance(e),!t.limit||t.handles<2)throw new Error(\"noUiSlider (14.5.0): 'limit' option is only supported on linear sliders with 2 or more handles.\")}function O(t,e){var r;if(!i(e)&&!Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'padding' option must be numeric or array of exactly 2 numbers.\");if(Array.isArray(e)&&2!==e.length&&!i(e[0])&&!i(e[1]))throw new Error(\"noUiSlider (14.5.0): 'padding' option must be numeric or array of exactly 2 numbers.\");if(0!==e){for(Array.isArray(e)||(e=[e,e]),t.padding=[t.spectrum.getDistance(e[0]),t.spectrum.getDistance(e[1])],r=0;r<t.spectrum.xNumSteps.length-1;r++)if(t.padding[0][r]<0||t.padding[1][r]<0)throw new Error(\"noUiSlider (14.5.0): 'padding' option must be a positive number(s).\");var n=e[0]+e[1],o=t.spectrum.xVal[0];if(n/(t.spectrum.xVal[t.spectrum.xVal.length-1]-o)>1)throw new Error(\"noUiSlider (14.5.0): 'padding' option must not exceed 100% of the range.\")}}function L(t,e){switch(e){case\"ltr\":t.dir=0;break;case\"rtl\":t.dir=1;break;default:throw new Error(\"noUiSlider (14.5.0): 'direction' 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t.to))throw new Error(\"noUiSlider (14.5.0): 'tooltips' must be passed a formatter or 'false'.\")}))}}function j(t,e){t.ariaFormat=e,y(e)}function F(t,e){t.format=e,y(e)}function R(t,e){if(t.keyboardSupport=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'keyboardSupport' option must be a boolean.\")}function T(t,e){t.documentElement=e}function B(t,e){if(\"string\"!=typeof e&&!1!==e)throw new Error(\"noUiSlider (14.5.0): 'cssPrefix' must be a string or `false`.\");t.cssPrefix=e}function q(t,e){if(\"object\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'cssClasses' must be an object.\");if(\"string\"==typeof t.cssPrefix)for(var r in t.cssClasses={},e)e.hasOwnProperty(r)&&(t.cssClasses[r]=t.cssPrefix+e[r]);else t.cssClasses=e}function X(t){var 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+       "      414: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default=\"\\n.bk-root {\\n  /*! nouislider - 14.5.0 - 5/11/2020 */\\n  /* Functional styling;\\n * These styles are required for noUiSlider to function.\\n * You don't need to change these rules to apply your design.\\n */\\n  /* Wrapper for all connect elements.\\n */\\n  /* Offset direction\\n */\\n  /* Give origins 0 height/width so they don't interfere with clicking the\\n * connect elements.\\n */\\n  /* Slider size and handle placement;\\n */\\n  /* Styling;\\n * Giving the connect element a border radius causes issues with using transform: scale\\n */\\n  /* Handles and cursors;\\n */\\n  /* Handle stripes;\\n */\\n  /* Disabled state;\\n */\\n  /* Base;\\n *\\n */\\n  /* Values;\\n *\\n */\\n  /* Markings;\\n *\\n */\\n  /* Horizontal layout;\\n *\\n */\\n  /* Vertical layout;\\n *\\n */\\n}\\n.bk-root .noUi-target,\\n.bk-root .noUi-target * {\\n  -webkit-touch-callout: none;\\n  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);\\n  -webkit-user-select: none;\\n  -ms-touch-action: none;\\n  touch-action: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  user-select: none;\\n  -moz-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.bk-root .noUi-target {\\n  position: relative;\\n}\\n.bk-root .noUi-base,\\n.bk-root .noUi-connects {\\n  width: 100%;\\n  height: 100%;\\n  position: relative;\\n  z-index: 1;\\n}\\n.bk-root .noUi-connects {\\n  overflow: hidden;\\n  z-index: 0;\\n}\\n.bk-root .noUi-connect,\\n.bk-root .noUi-origin {\\n  will-change: transform;\\n  position: absolute;\\n  z-index: 1;\\n  top: 0;\\n  right: 0;\\n  -ms-transform-origin: 0 0;\\n  -webkit-transform-origin: 0 0;\\n  -webkit-transform-style: preserve-3d;\\n  transform-origin: 0 0;\\n  transform-style: flat;\\n}\\n.bk-root .noUi-connect {\\n  height: 100%;\\n  width: 100%;\\n}\\n.bk-root .noUi-origin {\\n  height: 10%;\\n  width: 10%;\\n}\\n.bk-root .noUi-txt-dir-rtl.noUi-horizontal .noUi-origin {\\n  left: 0;\\n  right: auto;\\n}\\n.bk-root .noUi-vertical .noUi-origin {\\n  width: 0;\\n}\\n.bk-root .noUi-horizontal .noUi-origin {\\n  height: 0;\\n}\\n.bk-root .noUi-handle {\\n  -webkit-backface-visibility: hidden;\\n  backface-visibility: hidden;\\n  position: absolute;\\n}\\n.bk-root .noUi-touch-area {\\n  height: 100%;\\n  width: 100%;\\n}\\n.bk-root .noUi-state-tap .noUi-connect,\\n.bk-root .noUi-state-tap .noUi-origin {\\n  -webkit-transition: transform 0.3s;\\n  transition: transform 0.3s;\\n}\\n.bk-root .noUi-state-drag * {\\n  cursor: inherit !important;\\n}\\n.bk-root .noUi-horizontal {\\n  height: 18px;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n  width: 34px;\\n  height: 28px;\\n  right: -17px;\\n  top: -6px;\\n}\\n.bk-root .noUi-vertical {\\n  width: 18px;\\n}\\n.bk-root .noUi-vertical .noUi-handle {\\n  width: 28px;\\n  height: 34px;\\n  right: -6px;\\n  top: -17px;\\n}\\n.bk-root .noUi-txt-dir-rtl.noUi-horizontal .noUi-handle {\\n  left: -17px;\\n  right: auto;\\n}\\n.bk-root .noUi-target {\\n  background: #FAFAFA;\\n  border-radius: 4px;\\n  border: 1px solid #D3D3D3;\\n  box-shadow: inset 0 1px 1px #F0F0F0, 0 3px 6px -5px #BBB;\\n}\\n.bk-root .noUi-connects {\\n  border-radius: 3px;\\n}\\n.bk-root .noUi-connect {\\n  background: #3FB8AF;\\n}\\n.bk-root .noUi-draggable {\\n  cursor: ew-resize;\\n}\\n.bk-root .noUi-vertical .noUi-draggable {\\n  cursor: ns-resize;\\n}\\n.bk-root .noUi-handle {\\n  border: 1px solid #D9D9D9;\\n  border-radius: 3px;\\n  background: #FFF;\\n  cursor: default;\\n  box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #EBEBEB, 0 3px 6px -3px #BBB;\\n}\\n.bk-root .noUi-active {\\n  box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #DDD, 0 3px 6px -3px #BBB;\\n}\\n.bk-root .noUi-handle:before,\\n.bk-root .noUi-handle:after {\\n  content: \\\"\\\";\\n  display: block;\\n  position: absolute;\\n  height: 14px;\\n  width: 1px;\\n  background: #E8E7E6;\\n  left: 14px;\\n  top: 6px;\\n}\\n.bk-root .noUi-handle:after {\\n  left: 17px;\\n}\\n.bk-root .noUi-vertical .noUi-handle:before,\\n.bk-root .noUi-vertical .noUi-handle:after {\\n  width: 14px;\\n  height: 1px;\\n  left: 6px;\\n  top: 14px;\\n}\\n.bk-root .noUi-vertical .noUi-handle:after {\\n  top: 17px;\\n}\\n.bk-root [disabled] .noUi-connect {\\n  background: #B8B8B8;\\n}\\n.bk-root [disabled].noUi-target,\\n.bk-root [disabled].noUi-handle,\\n.bk-root [disabled] .noUi-handle {\\n  cursor: not-allowed;\\n}\\n.bk-root .noUi-pips,\\n.bk-root .noUi-pips * {\\n  -moz-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.bk-root .noUi-pips {\\n  position: absolute;\\n  color: #999;\\n}\\n.bk-root .noUi-value {\\n  position: absolute;\\n  white-space: nowrap;\\n  text-align: center;\\n}\\n.bk-root .noUi-value-sub {\\n  color: #ccc;\\n  font-size: 10px;\\n}\\n.bk-root .noUi-marker {\\n  position: absolute;\\n  background: #CCC;\\n}\\n.bk-root .noUi-marker-sub {\\n  background: #AAA;\\n}\\n.bk-root .noUi-marker-large {\\n  background: #AAA;\\n}\\n.bk-root .noUi-pips-horizontal {\\n  padding: 10px 0;\\n  height: 80px;\\n  top: 100%;\\n  left: 0;\\n  width: 100%;\\n}\\n.bk-root .noUi-value-horizontal {\\n  -webkit-transform: translate(-50%, 50%);\\n  transform: translate(-50%, 50%);\\n}\\n.bk-root .noUi-rtl .noUi-value-horizontal {\\n  -webkit-transform: translate(50%, 50%);\\n  transform: translate(50%, 50%);\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker {\\n  margin-left: -1px;\\n  width: 2px;\\n  height: 5px;\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker-sub {\\n  height: 10px;\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker-large {\\n  height: 15px;\\n}\\n.bk-root .noUi-pips-vertical {\\n  padding: 0 10px;\\n  height: 100%;\\n  top: 0;\\n  left: 100%;\\n}\\n.bk-root .noUi-value-vertical {\\n  -webkit-transform: translate(0, -50%);\\n  transform: translate(0, -50%);\\n  padding-left: 25px;\\n}\\n.bk-root .noUi-rtl .noUi-value-vertical {\\n  -webkit-transform: translate(0, 50%);\\n  transform: translate(0, 50%);\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker {\\n  width: 5px;\\n  height: 2px;\\n  margin-top: -1px;\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker-sub {\\n  width: 10px;\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker-large {\\n  width: 15px;\\n}\\n.bk-root .noUi-tooltip {\\n  display: block;\\n  position: absolute;\\n  border: 1px solid #D9D9D9;\\n  border-radius: 3px;\\n  background: #fff;\\n  color: #000;\\n  padding: 5px;\\n  text-align: center;\\n  white-space: nowrap;\\n}\\n.bk-root .noUi-horizontal .noUi-tooltip {\\n  -webkit-transform: translate(-50%, 0);\\n  transform: translate(-50%, 0);\\n  left: 50%;\\n  bottom: 120%;\\n}\\n.bk-root .noUi-vertical .noUi-tooltip {\\n  -webkit-transform: translate(0, -50%);\\n  transform: translate(0, -50%);\\n  top: 50%;\\n  right: 120%;\\n}\\n.bk-root .noUi-horizontal .noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(50%, 0);\\n  transform: translate(50%, 0);\\n  left: auto;\\n  bottom: 10px;\\n}\\n.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(0, -18px);\\n  transform: translate(0, -18px);\\n  top: auto;\\n  right: 28px;\\n}\\n.bk-root .noUi-handle {\\n  cursor: grab;\\n  cursor: -webkit-grab;\\n}\\n.bk-root .noUi-handle.noUi-active {\\n  cursor: grabbing;\\n  cursor: -webkit-grabbing;\\n}\\n.bk-root .noUi-handle:after,\\n.bk-root .noUi-handle:before {\\n  display: none;\\n}\\n.bk-root .noUi-tooltip {\\n  display: none;\\n  white-space: nowrap;\\n}\\n.bk-root .noUi-handle:hover .noUi-tooltip {\\n  display: block;\\n}\\n.bk-root .noUi-horizontal {\\n  width: 100%;\\n  height: 10px;\\n}\\n.bk-root .noUi-vertical {\\n  width: 10px;\\n  height: 100%;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n  width: 14px;\\n  height: 18px;\\n  right: -7px;\\n  top: -5px;\\n}\\n.bk-root .noUi-vertical .noUi-handle {\\n  width: 18px;\\n  height: 14px;\\n  right: -5px;\\n  top: -7px;\\n}\\n.bk-root .noUi-target.noUi-horizontal {\\n  margin: 5px 0px;\\n}\\n.bk-root .noUi-target.noUi-vertical {\\n  margin: 0px 5px;\\n}\\n\"},\n",
+       "      415: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default=\"\\n.bk-root .bk-slider-title {\\n  white-space: nowrap;\\n}\\n.bk-root .bk-slider-value {\\n  font-weight: 600;\\n}\\n\"},\n",
+       "      416: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1).__importDefault(e(159)),a=e(411);class d extends a.AbstractSliderView{}i.DateSliderView=d,d.__name__=\"DateSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_DateSlider(){this.prototype.default_view=d,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return r.default(e,t)}}i.DateSlider=s,s.__name__=\"DateSlider\",s.init_DateSlider()},\n",
+       "      417: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),_=e(418),n=r.__importStar(e(18));class s extends _.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.model.text}}i.DivView=s,s.__name__=\"DivView\";class a extends _.Markup{constructor(e){super(e)}static init_Div(){this.prototype.default_view=s,this.define({render_as_text:[n.Boolean,!1]})}}i.Div=a,a.__name__=\"Div\",a.init_Div()},\n",
+       "      418: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(193),n=e(68),l=i.__importStar(e(18)),r=e(458),_=e(419),c=i.__importDefault(e(420));class u extends r.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>{this.layout.invalidate_cache(),this.render(),this.root.compute_layout()})}styles(){return[...super.styles(),c.default]}_update_layout(){this.layout=new a.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=n.div({class:_.bk_clearfix,style:e}),this.el.appendChild(this.markup_el)}}s.MarkupView=u,u.__name__=\"MarkupView\";class o extends r.Widget{constructor(e){super(e)}static init_Markup(){this.define({text:[l.String,\"\"],style:[l.Any,{}]})}}s.Markup=o,o.__name__=\"Markup\",o.init_Markup()},\n",
+       "      419: function _(e,c,f){Object.defineProperty(f,\"__esModule\",{value:!0}),f.bk_clearfix=\"bk-clearfix\"},\n",
+       "      420: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-clearfix:before,\\n.bk-root .bk-clearfix:after {\\n  content: \"\";\\n  display: table;\\n}\\n.bk-root .bk-clearfix:after {\\n  clear: both;\\n}\\n'},\n",
+       "      421: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(392),o=e(291),_=e(68),d=n.__importStar(e(18)),l=e(8),r=e(146),u=e(254),c=e(255),h=n.__importDefault(e(257));class p extends s.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=_.div({class:[c.bk_caret,r.bk_down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(u.bk_dropdown_toggle),t.addEventListener(\"click\",()=>this._toggle_menu()),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map((e,t)=>{if(null==e)return _.div({class:c.bk_divider});{const i=l.isString(e)?e:e[0],n=_.div({},i);return n.addEventListener(\"click\",()=>this._item_click(t)),n}});this.menu=_.div({class:[c.bk_menu,r.bk_below]},t),this.el.appendChild(this.menu),_.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,_.display(this.menu);const e=t=>{const{target:i}=t;i instanceof HTMLElement&&!this.el.contains(i)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,_.undisplay(this.menu))}_toggle_menu(){this._open?this._hide_menu():this._show_menu()}click(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new o.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=l.isString(t)?t:t[1];l.isString(i)?this.model.trigger_event(new o.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=p,p.__name__=\"DropdownView\";class m extends s.AbstractButton{constructor(e){super(e)}static init_Dropdown(){this.prototype.default_view=p,this.define({split:[d.Boolean,!1],menu:[d.Array,[]]}),this.override({label:\"Dropdown\"})}get is_split(){return this.split}}i.Dropdown=m,m.__name__=\"Dropdown\",m.init_Dropdown()},\n",
+       "      422: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1).__importStar(e(18)),s=e(458);class n extends s.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.width.change,()=>this.render())}render(){null==this.dialogEl&&(this.dialogEl=document.createElement(\"input\"),this.dialogEl.type=\"file\",this.dialogEl.multiple=this.model.multiple,this.dialogEl.onchange=()=>{const{files:e}=this.dialogEl;null!=e&&this.load_files(e)},this.el.appendChild(this.dialogEl)),null!=this.model.accept&&\"\"!=this.model.accept&&(this.dialogEl.accept=this.model.accept),this.dialogEl.style.width=\"{this.model.width}px\",this.dialogEl.disabled=this.model.disabled}async load_files(e){const t=[],i=[],l=[];let s;for(s=0;s<e.length;s++){i.push(e[s].name);const n=await this.readfile(e[s]),[,o,,a]=n.split(/[:;,]/,4);t.push(a),l.push(o)}this.model.multiple?(this.model.filename=i,this.model.mime_type=l,this.model.value=t):(this.model.filename=i[0],this.model.mime_type=l[0],this.model.value=t[0])}readfile(e){return new Promise((t,i)=>{const l=new FileReader;l.onload=()=>{var s;const{result:n}=l;null!=n?t(n):i(null!==(s=l.error)&&void 0!==s?s:new Error(`unable to read '${e.name}'`))},l.readAsDataURL(e)})}}i.FileInputView=n,n.__name__=\"FileInputView\";class o extends s.Widget{constructor(e){super(e)}static init_FileInput(){this.prototype.default_view=n,this.define({value:[l.Any,\"\"],mime_type:[l.Any,\"\"],filename:[l.Any,\"\"],accept:[l.String,\"\"],multiple:[l.Boolean,!1]})}}i.FileInput=o,o.__name__=\"FileInput\",o.init_FileInput()},\n",
+       "      423: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(68),l=e(8),o=i.__importStar(e(18)),c=e(398),r=e(400);class h extends c.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render()),this.connect(this.model.properties.size.change,()=>this.render()),this.connect(this.model.properties.disabled.change,()=>this.render())}render(){super.render();const e=this.model.options.map(e=>{let t,s;return l.isString(e)?t=s=e:[t,s]=e,n.option({value:t},s)});this.select_el=n.select({multiple:!0,class:r.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.select_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.select_el),this.render_selection()}render_selection(){const e=new Set(this.model.value);for(const t of this.el.querySelectorAll(\"option\"))t.selected=e.has(t.value);this.select_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}s.MultiSelectView=h,h.__name__=\"MultiSelectView\";class d extends c.InputWidget{constructor(e){super(e)}static init_MultiSelect(){this.prototype.default_view=h,this.define({value:[o.Array,[]],options:[o.Array,[]],size:[o.Number,4]})}}s.MultiSelect=d,d.__name__=\"MultiSelect\",d.init_MultiSelect()},\n",
+       "      424: function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=a(418),p=a(68);class s extends t.MarkupView{render(){super.render();const a=p.p({style:{margin:0}},this.model.text);this.markup_el.appendChild(a)}}r.ParagraphView=s,s.__name__=\"ParagraphView\";class i extends t.Markup{constructor(a){super(a)}static init_Paragraph(){this.prototype.default_view=s}}r.Paragraph=i,i.__name__=\"Paragraph\",i.init_Paragraph()},\n",
+       "      425: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(397);class r extends n.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}s.PasswordInputView=r,r.__name__=\"PasswordInputView\";class p extends n.TextInput{constructor(e){super(e)}static init_PasswordInput(){this.prototype.default_view=r}}s.PasswordInput=p,p.__name__=\"PasswordInput\",p.init_PasswordInput()},\n",
+       "      426: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=s.__importDefault(e(427)),o=e(68),n=e(8),h=s.__importStar(e(18)),r=e(400),c=s.__importDefault(e(428)),d=e(398);class a extends d.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.disabled.change,()=>this.set_disabled()),this.connect(this.model.properties.max_items.change,()=>this.render()),this.connect(this.model.properties.option_limit.change,()=>this.render()),this.connect(this.model.properties.delete_button.change,()=>this.render()),this.connect(this.model.properties.placeholder.change,()=>this.render()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render())}styles(){return[...super.styles(),c.default]}render(){super.render();const e=this.model.options.map(e=>{let t,i;return n.isString(e)?t=i=e:[t,i]=e,o.option({value:t},i)});this.select_el=o.select({multiple:!0,class:r.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.group_el.appendChild(this.select_el),this.render_selection();let t=\"choices__item\",i=\"choices__button\";this.model.solid?(t+=\" solid\",i+=\" solid\"):(t+=\" light\",i+=\" light\");const s={removeItemButton:this.model.delete_button,classNames:{item:t,button:i}};null!==this.model.placeholder&&(s.placeholderValue=this.model.placeholder),null!==this.model.max_items&&(s.maxItemCount=this.model.max_items),null!==this.model.option_limit&&(s.renderChoiceLimit=this.model.option_limit),this.choice_el=new l.default(this.select_el,s),this.select_el.addEventListener(\"change\",()=>this.change_input())}render_selection(){const e=new Set(this.model.value);for(const t of Array.from(this.el.querySelectorAll(\"option\")))t.selected=e.has(t.value)}set_disabled(){this.model.disabled?this.choice_el.disable():this.choice_el.enable()}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of Array.from(this.el.querySelectorAll(\"option\")))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}i.MultiChoiceView=a,a.__name__=\"MultiChoiceView\";class u extends d.InputWidget{constructor(e){super(e)}static init_MultiChoice(){this.prototype.default_view=a,this.define({value:[h.Array,[]],options:[h.Array,[]],max_items:[h.Number,null],delete_button:[h.Boolean,!0],placeholder:[h.String,null],option_limit:[h.Number,null],solid:[h.Boolean,!0]})}}i.MultiChoice=u,u.__name__=\"MultiChoice\",u.init_MultiChoice()},\n",
+       "      427: function _(e,t,i){\n",
+       "      /*! choices.js v9.0.1 | © 2019 Josh Johnson | https://github.com/jshjohnson/Choices#readme */\n",
+       "      var n,s;n=window,s=function(){return function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"/public/assets/scripts/\",i(i.s=4)}([function(e,t,i){\"use strict\";var n=function(e){return function(e){return!!e&&\"object\"==typeof e}(e)&&!function(e){var t=Object.prototype.toString.call(e);return\"[object RegExp]\"===t||\"[object Date]\"===t||function(e){return e.$$typeof===s}(e)}(e)},s=\"function\"==typeof Symbol&&Symbol.for?Symbol.for(\"react.element\"):60103;function r(e,t){return!1!==t.clone&&t.isMergeableObject(e)?l((i=e,Array.isArray(i)?[]:{}),e,t):e;var i}function o(e,t,i){return e.concat(t).map((function(e){return r(e,i)}))}function a(e){return Object.keys(e).concat(function(e){return Object.getOwnPropertySymbols?Object.getOwnPropertySymbols(e).filter((function(t){return e.propertyIsEnumerable(t)})):[]}(e))}function c(e,t,i){var n={};return i.isMergeableObject(e)&&a(e).forEach((function(t){n[t]=r(e[t],i)})),a(t).forEach((function(s){(function(e,t){try{return t in e&&!(Object.hasOwnProperty.call(e,t)&&Object.propertyIsEnumerable.call(e,t))}catch(e){return!1}})(e,s)||(i.isMergeableObject(t[s])&&e[s]?n[s]=function(e,t){if(!t.customMerge)return l;var i=t.customMerge(e);return\"function\"==typeof i?i:l}(s,i)(e[s],t[s],i):n[s]=r(t[s],i))})),n}function l(e,t,i){(i=i||{}).arrayMerge=i.arrayMerge||o,i.isMergeableObject=i.isMergeableObject||n,i.cloneUnlessOtherwiseSpecified=r;var s=Array.isArray(t);return s===Array.isArray(e)?s?i.arrayMerge(e,t,i):c(e,t,i):r(t,i)}l.all=function(e,t){if(!Array.isArray(e))throw new Error(\"first argument should be an array\");return e.reduce((function(e,i){return l(e,i,t)}),{})};var h=l;e.exports=h},function(e,t,i){\"use strict\";(function(e,n){var s,r=i(3);s=\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:void 0!==e?e:n;var o=Object(r.a)(s);t.a=o}).call(this,i(5),i(6)(e))},function(e,t,i){\n",
+       "      /*!\n",
+       "                       * Fuse.js v3.4.5 - Lightweight fuzzy-search (http://fusejs.io)\n",
+       "                       *\n",
+       "                       * Copyright (c) 2012-2017 Kirollos Risk (http://kiro.me)\n",
+       "                       * All Rights Reserved. Apache Software License 2.0\n",
+       "                       *\n",
+       "                       * http://www.apache.org/licenses/LICENSE-2.0\n",
+       "                       */\n",
+       "      e.exports=function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return 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a.dataset.type=r,t&&(a.dir=t),n&&(a.tabIndex=0),i&&(a.setAttribute(\"role\",s?\"combobox\":\"listbox\"),s&&a.setAttribute(\"aria-autocomplete\",\"list\")),a.setAttribute(\"aria-haspopup\",\"true\"),a.setAttribute(\"aria-expanded\",\"false\"),a},containerInner:function(e){var t=e.containerInner;return Object.assign(document.createElement(\"div\"),{className:t})},itemList:function(e,t){var i=e.list,n=e.listSingle,s=e.listItems;return Object.assign(document.createElement(\"div\"),{className:i+\" \"+(t?n:s)})},placeholder:function(e,t){var i=e.placeholder;return Object.assign(document.createElement(\"div\"),{className:i,innerHTML:t})},item:function(e,t,i){var n=e.item,s=e.button,r=e.highlightedState,o=e.itemSelectable,a=e.placeholder,c=t.id,l=t.value,h=t.label,u=t.customProperties,d=t.active,p=t.disabled,m=t.highlighted,f=t.placeholder,v=Object.assign(document.createElement(\"div\"),{className:n,innerHTML:h});if(Object.assign(v.dataset,{item:\"\",id:c,value:l,customProperties:u}),d&&v.setAttribute(\"aria-selected\",\"true\"),p&&v.setAttribute(\"aria-disabled\",\"true\"),f&&v.classList.add(a),v.classList.add(m?r:o),i){p&&v.classList.remove(o),v.dataset.deletable=\"\";var g=Object.assign(document.createElement(\"button\"),{type:\"button\",className:s,innerHTML:\"Remove item\"});g.setAttribute(\"aria-label\",\"Remove item: '\"+l+\"'\"),g.dataset.button=\"\",v.appendChild(g)}return v},choiceList:function(e,t){var i=e.list,n=Object.assign(document.createElement(\"div\"),{className:i});return t||n.setAttribute(\"aria-multiselectable\",\"true\"),n.setAttribute(\"role\",\"listbox\"),n},choiceGroup:function(e,t){var i=e.group,n=e.groupHeading,s=e.itemDisabled,r=t.id,o=t.value,a=t.disabled,c=Object.assign(document.createElement(\"div\"),{className:i+\" \"+(a?s:\"\")});return c.setAttribute(\"role\",\"group\"),Object.assign(c.dataset,{group:\"\",id:r,value:o}),a&&c.setAttribute(\"aria-disabled\",\"true\"),c.appendChild(Object.assign(document.createElement(\"div\"),{className:n,innerHTML:o})),c},choice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.itemSelectable,o=e.selectedState,a=e.itemDisabled,c=e.placeholder,l=t.id,h=t.value,u=t.label,d=t.groupId,p=t.elementId,m=t.disabled,f=t.selected,v=t.placeholder,g=Object.assign(document.createElement(\"div\"),{id:p,innerHTML:u,className:n+\" \"+s});return f&&g.classList.add(o),v&&g.classList.add(c),g.setAttribute(\"role\",d>0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},ve=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ge=function(e,t){return{type:$,id:e,highlighted:t}},_e=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},be=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function ye(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var Ee=\"-ms-scroll-limit\"in document.documentElement.style&&\"-ms-ime-align\"in document.documentElement.style,Ie={},Se=function(){var e,t,i;function n(e,t){var i=this;void 0===e&&(e=\"[data-choice]\"),void 0===t&&(t={}),this.config=o.a.all([P,n.defaults.options,t],{arrayMerge:function(e,t){return[].concat(t)}});var s,r,a,c,l=(s=this.config,r=P,a=Object.keys(s).sort(),c=Object.keys(r).sort(),a.filter((function(e){return c.indexOf(e)<0})));l.length&&console.warn(\"Unknown config option(s) passed\",l.join(\", \"));var h=\"string\"==typeof e?document.querySelector(e):e;if(!(h instanceof HTMLInputElement||h instanceof HTMLSelectElement))throw TypeError(\"Expected one of the following types text|select-one|select-multiple\");if(this._isTextElement=\"text\"===h.type,this._isSelectOneElement=\"select-one\"===h.type,this._isSelectMultipleElement=\"select-multiple\"===h.type,this._isSelectElement=this._isSelectOneElement||this._isSelectMultipleElement,this.config.searchEnabled=this._isSelectMultipleElement||this.config.searchEnabled,[\"auto\",\"always\"].includes(this.config.renderSelectedChoices)||(this.config.renderSelectedChoices=\"auto\"),t.addItemFilter&&\"function\"!=typeof t.addItemFilter){var u=t.addItemFilter instanceof RegExp?t.addItemFilter:new RegExp(t.addItemFilter);this.config.addItemFilter=u.test.bind(u)}if(this._isTextElement?this.passedElement=new de({element:h,classNames:this.config.classNames,delimiter:this.config.delimiter}):this.passedElement=new me({element:h,classNames:this.config.classNames,template:function(e){return i._templates.option(e)}}),this.initialised=!1,this._store=new T,this._initialState={},this._currentState={},this._prevState={},this._currentValue=\"\",this._canSearch=this.config.searchEnabled,this._isScrollingOnIe=!1,this._highlightPosition=0,this._wasTap=!0,this._placeholderValue=this._generatePlaceholderValue(),this._baseId=function(e,t){var i=e.id||e.name&&e.name+\"-\"+b(2)||b(4);return i=t+\"-\"+(i=i.replace(/(:|\\.|\\[|\\]|,)/g,\"\"))}(this.passedElement.element,\"choices-\"),this._direction=this.passedElement.dir,!this._direction){var d=window.getComputedStyle(this.passedElement.element).direction;d!==window.getComputedStyle(document.documentElement).direction&&(this._direction=d)}if(this._idNames={itemChoice:\"item-choice\"},this._presetGroups=this.passedElement.optionGroups,this._presetOptions=this.passedElement.options,this._presetChoices=this.config.choices,this._presetItems=this.config.items,this.passedElement.value&&(this._presetItems=this._presetItems.concat(this.passedElement.value.split(this.config.delimiter))),this.passedElement.options&&this.passedElement.options.forEach((function(e){i._presetChoices.push({value:e.value,label:e.innerHTML,selected:e.selected,disabled:e.disabled||e.parentNode.disabled,placeholder:\"\"===e.value||e.hasAttribute(\"placeholder\"),customProperties:e.getAttribute(\"data-custom-properties\")})})),this._render=this._render.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this),this._onKeyUp=this._onKeyUp.bind(this),this._onKeyDown=this._onKeyDown.bind(this),this._onClick=this._onClick.bind(this),this._onTouchMove=this._onTouchMove.bind(this),this._onTouchEnd=this._onTouchEnd.bind(this),this._onMouseDown=this._onMouseDown.bind(this),this._onMouseOver=this._onMouseOver.bind(this),this._onFormReset=this._onFormReset.bind(this),this._onAKey=this._onAKey.bind(this),this._onEnterKey=this._onEnterKey.bind(this),this._onEscapeKey=this._onEscapeKey.bind(this),this._onDirectionKey=this._onDirectionKey.bind(this),this._onDeleteKey=this._onDeleteKey.bind(this),this.passedElement.isActive)return this.config.silent||console.warn(\"Trying to initialise Choices on element already initialised\"),void(this.initialised=!0);this.init()}e=n,i=[{key:\"defaults\",get:function(){return Object.preventExtensions({get options(){return Ie},get templates(){return fe}})}}],(t=null)&&ye(e.prototype,t),i&&ye(e,i);var r=n.prototype;return r.init=function(){if(!this.initialised){this._createTemplates(),this._createElements(),this._createStructure(),this._initialState=O(this._store.state),this._store.subscribe(this._render),this._render(),this._addEventListeners(),(!this.config.addItems||this.passedElement.element.hasAttribute(\"disabled\"))&&this.disable(),this.initialised=!0;var e=this.config.callbackOnInit;e&&\"function\"==typeof e&&e.call(this)}},r.destroy=function(){this.initialised&&(this._removeEventListeners(),this.passedElement.reveal(),this.containerOuter.unwrap(this.passedElement.element),this.clearStore(),this._isSelectElement&&(this.passedElement.options=this._presetOptions),this._templates=null,this.initialised=!1)},r.enable=function(){return this.passedElement.isDisabled&&this.passedElement.enable(),this.containerOuter.isDisabled&&(this._addEventListeners(),this.input.enable(),this.containerOuter.enable()),this},r.disable=function(){return this.passedElement.isDisabled||this.passedElement.disable(),this.containerOuter.isDisabled||(this._removeEventListeners(),this.input.disable(),this.containerOuter.disable()),this},r.highlightItem=function(e,t){if(void 0===t&&(t=!0),!e)return this;var i=e.id,n=e.groupId,s=void 0===n?-1:n,r=e.value,o=void 0===r?\"\":r,a=e.label,c=void 0===a?\"\":a,l=s>=0?this._store.getGroupById(s):null;return this._store.dispatch(ge(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ge(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(ve(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v<m;v+=1)f[v]&&l(f[v]);return t},r._createItemsFragment=function(e,t){var i=this;void 0===t&&(t=document.createDocumentFragment());var n=this.config,s=n.shouldSortItems,r=n.sorter,o=n.removeItemButton;return s&&!this._isSelectOneElement&&e.sort(r),this._isTextElement?this.passedElement.value=e:this.passedElement.options=e,e.forEach((function(e){var n=i._getTemplate(\"item\",e,o);t.appendChild(n)})),t},r._triggerChange=function(e){null!=e&&this.passedElement.triggerEvent(N,{value:e})},r._selectPlaceholderChoice=function(){var e=this._store.placeholderChoice;e&&(this._addItem({value:e.value,label:e.label,choiceId:e.id,groupId:e.groupId,placeholder:e.placeholder}),this._triggerChange(e.value))},r._handleButtonAction=function(e,t){if(e&&t&&this.config.removeItems&&this.config.removeItemButton){var i=t.parentNode.getAttribute(\"data-id\"),n=e.find((function(e){return e.id===parseInt(i,10)}));this._removeItem(n),this._triggerChange(n.value),this._isSelectOneElement&&this._selectPlaceholderChoice()}},r._handleItemAction=function(e,t,i){var n=this;if(void 0===i&&(i=!1),e&&t&&this.config.removeItems&&!this._isSelectOneElement){var s=t.getAttribute(\"data-id\");e.forEach((function(e){e.id!==parseInt(s,10)||e.highlighted?!i&&e.highlighted&&n.unhighlightItem(e):n.highlightItem(e)})),this.input.focus()}},r._handleChoiceAction=function(e,t){if(e&&t){var i=t.dataset.id,n=this._store.getChoiceById(i);if(n){var s=e[0]&&e[0].keyCode?e[0].keyCode:null,r=this.dropdown.isActive;n.keyCode=s,this.passedElement.triggerEvent(F,{choice:n}),n.selected||n.disabled||this._canAddItem(e,n.value).response&&(this._addItem({value:n.value,label:n.label,choiceId:n.id,groupId:n.groupId,customProperties:n.customProperties,placeholder:n.placeholder,keyCode:n.keyCode}),this._triggerChange(n.value)),this.clearInput(),r&&this._isSelectOneElement&&(this.hideDropdown(!0),this.containerOuter.focus())}}},r._handleBackspace=function(e){if(this.config.removeItems&&e){var t=e[e.length-1],i=e.some((function(e){return e.highlighted}));this.config.editItems&&!i&&t?(this.input.value=t.value,this.input.setWidth(),this._removeItem(t),this._triggerChange(t.value)):(i||this.highlightItem(t,!1),this.removeHighlightedItems(!0))}},r._startLoading=function(){this._store.dispatch(be(!0))},r._stopLoading=function(){this._store.dispatch(be(!1))},r._handleLoadingState=function(e){void 0===e&&(e=!0);var t=this.itemList.getChild(\".\"+this.config.classNames.placeholder);e?(this.disable(),this.containerOuter.addLoadingState(),this._isSelectOneElement?t?t.innerHTML=this.config.loadingText:(t=this._getTemplate(\"placeholder\",this.config.loadingText),this.itemList.append(t)):this.input.placeholder=this.config.loadingText):(this.enable(),this.containerOuter.removeLoadingState(),this._isSelectOneElement?t.innerHTML=this._placeholderValue||\"\":this.input.placeholder=this._placeholderValue||\"\")},r._handleSearch=function(e){if(e&&this.input.isFocussed){var t=this._store.choices,i=this.config,n=i.searchFloor,s=i.searchChoices,r=t.some((function(e){return!e.active}));if(e&&e.length>=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(ve(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(ve(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1;if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(\"[data-choice-selectable]\");else{var p=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=p?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(p,\"[data-choice-selectable]\",d):this.dropdown.element.querySelector(\"[data-choice-selectable]\")}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(Ee&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX<i.offsetLeft;this._isScrollingOnIe=n}if(t!==this.input.element){var s=t.closest(\"[data-button],[data-item],[data-choice]\");if(s instanceof HTMLElement){var r=e.shiftKey,o=this._store.activeItems,a=s.dataset;\"button\"in a?this._handleButtonAction(o,s):\"item\"in a?this._handleItemAction(o,s,r):\"choice\"in a&&this._handleChoiceAction(o,s)}e.preventDefault()}}},r._onMouseOver=function(e){var t=e.target;t instanceof HTMLElement&&\"choice\"in t.dataset&&this._highlightChoice(t)},r._onClick=function(e){var t=e.target;this.containerOuter.element.contains(t)?this.dropdown.isActive||this.containerOuter.isDisabled?this._isSelectOneElement&&t!==this.input.element&&!this.dropdown.element.contains(t)&&this.hideDropdown():this._isTextElement?document.activeElement!==this.input.element&&this.input.focus():(this.showDropdown(),this.containerOuter.focus()):(this._store.highlightedActiveItems.length>0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(_e({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(_e({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r<n;r++)s[r-1]=arguments[r];return(t=this._templates[e]).call.apply(t,[this,i].concat(s))},r._createTemplates=function(){var e=this.config.callbackOnCreateTemplates,t={};e&&\"function\"==typeof e&&(t=e.call(this,S)),this._templates=o()(fe,t)},r._createElements=function(){this.containerOuter=new re({element:this._getTemplate(\"containerOuter\",this._direction,this._isSelectElement,this._isSelectOneElement,this.config.searchEnabled,this.passedElement.element.type),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.containerInner=new re({element:this._getTemplate(\"containerInner\"),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.input=new ae({element:this._getTemplate(\"input\",this._placeholderValue),classNames:this.config.classNames,type:this.passedElement.element.type,preventPaste:!this.config.paste}),this.choiceList=new ce({element:this._getTemplate(\"choiceList\",this._isSelectOneElement)}),this.itemList=new ce({element:this._getTemplate(\"itemList\",this._isSelectOneElement)}),this.dropdown=new k({element:this._getTemplate(\"dropdown\"),classNames:this.config.classNames,type:this.passedElement.element.type})},r._createStructure=function(){this.passedElement.conceal(),this.containerInner.wrap(this.passedElement.element),this.containerOuter.wrap(this.containerInner.element),this._isSelectOneElement?this.input.placeholder=this.config.searchPlaceholderValue||\"\":this._placeholderValue&&(this.input.placeholder=this._placeholderValue,this.input.setWidth()),this.containerOuter.element.appendChild(this.containerInner.element),this.containerOuter.element.appendChild(this.dropdown.element),this.containerInner.element.appendChild(this.itemList.element),this._isTextElement||this.dropdown.element.appendChild(this.choiceList.element),this._isSelectOneElement?this.config.searchEnabled&&this.dropdown.element.insertBefore(this.input.element,this.dropdown.element.firstChild):this.containerInner.element.appendChild(this.input.element),this._isSelectElement&&(this._highlightPosition=0,this._isSearching=!1,this._startLoading(),this._presetGroups.length?this._addPredefinedGroups(this._presetGroups):this._addPredefinedChoices(this._presetChoices),this._stopLoading()),this._isTextElement&&this._addPredefinedItems(this._presetItems)},r._addPredefinedGroups=function(e){var t=this,i=this.passedElement.placeholderOption;i&&\"SELECT\"===i.parentNode.tagName&&this._addChoice({value:i.value,label:i.innerHTML,isSelected:i.selected,isDisabled:i.disabled,placeholder:!0}),e.forEach((function(e){return t._addGroup({group:e,id:e.id||null})}))},r._addPredefinedChoices=function(e){var t=this;this.config.shouldSort&&e.sort(this.config.sorter);var i=e.some((function(e){return e.selected})),n=e.findIndex((function(e){return void 0===e.disabled||!e.disabled}));e.forEach((function(e,s){var r=e.value,o=e.label,a=e.customProperties,c=e.placeholder;if(t._isSelectElement)if(e.choices)t._addGroup({group:e,id:e.id||null});else{var l=!(!t._isSelectOneElement||i||s!==n)||e.selected,h=e.disabled;t._addChoice({value:r,label:o,isSelected:l,isDisabled:h,customProperties:a,placeholder:c})}else t._addChoice({value:r,label:o,isSelected:e.selected,isDisabled:e.disabled,customProperties:a,placeholder:c})}))},r._addPredefinedItems=function(e){var t=this;e.forEach((function(e){\"object\"==typeof e&&e.value&&t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}),\"string\"==typeof e&&t._addItem({value:e})}))},r._setChoiceOrItem=function(e){var t=this;({object:function(){e.value&&(t._isTextElement?t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}):t._addChoice({value:e.value,label:e.label,isSelected:!0,isDisabled:!1,customProperties:e.customProperties,placeholder:e.placeholder}))},string:function(){t._isTextElement?t._addItem({value:e}):t._addChoice({value:e,label:e,isSelected:!0,isDisabled:!1})}})[y(e).toLowerCase()]()},r._findAndSelectChoiceByValue=function(e){var t=this,i=this._store.choices.find((function(i){return t.config.valueComparer(i.value,e)}));i&&!i.selected&&this._addItem({value:i.value,label:i.label,choiceId:i.id,groupId:i.groupId,customProperties:i.customProperties,placeholder:i.placeholder,keyCode:i.keyCode})},r._generatePlaceholderValue=function(){if(this._isSelectElement){var e=this.passedElement.placeholderOption;return!!e&&e.text}var t=this.config,i=t.placeholder,n=t.placeholderValue,s=this.passedElement.element.dataset;if(i){if(n)return n;if(s.placeholder)return s.placeholder}return!1},n}();t.default=Se}]).default},\"object\"==typeof i&&\"object\"==typeof t?t.exports=s():\"function\"==typeof define&&define.amd?define([],s):\"object\"==typeof i?i.Choices=s():n.Choices=s()},\n",
+       "      428: function _(n,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});e.default=\"\\n.bk-root {\\n  /*===============================\\n=            Choices            =\\n===============================*/\\n  /*=====  End of Choices  ======*/\\n}\\n.bk-root .choices {\\n  position: relative;\\n  margin-bottom: 24px;\\n  font-size: 16px;\\n}\\n.bk-root .choices:focus {\\n  outline: none;\\n}\\n.bk-root .choices:last-child {\\n  margin-bottom: 0;\\n}\\n.bk-root .choices.is-disabled .choices__inner,\\n.bk-root .choices.is-disabled .choices__input {\\n  background-color: #eaeaea;\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n}\\n.bk-root .choices.is-disabled .choices__item {\\n  cursor: not-allowed;\\n}\\n.bk-root .choices [hidden] {\\n  display: none !important;\\n}\\n.bk-root .choices[data-type*='select-one'] {\\n  cursor: pointer;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__inner {\\n  padding-bottom: 7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__input {\\n  display: block;\\n  width: 100%;\\n  padding: 10px;\\n  border-bottom: 1px solid #dddddd;\\n  background-color: #ffffff;\\n  margin: 0;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDAwIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  padding: 0;\\n  background-size: 8px;\\n  position: absolute;\\n  top: 50%;\\n  right: 0;\\n  margin-top: -10px;\\n  margin-right: 25px;\\n  height: 20px;\\n  width: 20px;\\n  border-radius: 10em;\\n  opacity: 0.5;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  box-shadow: 0px 0px 0px 2px #00bcd4;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__item[data-value=''] .choices__button {\\n  display: none;\\n}\\n.bk-root .choices[data-type*='select-one']:after {\\n  content: '';\\n  height: 0;\\n  width: 0;\\n  border-style: solid;\\n  border-color: #333333 transparent transparent transparent;\\n  border-width: 5px;\\n  position: absolute;\\n  right: 11.5px;\\n  top: 50%;\\n  margin-top: -2.5px;\\n  pointer-events: none;\\n}\\n.bk-root .choices[data-type*='select-one'].is-open:after {\\n  border-color: transparent transparent #333333 transparent;\\n  margin-top: -7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl']:after {\\n  left: 11.5px;\\n  right: auto;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl'] .choices__button {\\n  right: auto;\\n  left: 0;\\n  margin-left: 25px;\\n  margin-right: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__inner,\\n.bk-root .choices[data-type*='text'] .choices__inner {\\n  cursor: text;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button,\\n.bk-root .choices[data-type*='text'] .choices__button {\\n  position: relative;\\n  display: inline-block;\\n  margin-top: 0;\\n  margin-right: -4px;\\n  margin-bottom: 0;\\n  margin-left: 8px;\\n  padding-left: 16px;\\n  border-left: 1px solid #008fa1;\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjRkZGIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  background-size: 8px;\\n  width: 8px;\\n  line-height: 1;\\n  opacity: 0.75;\\n  border-radius: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:focus,\\n.bk-root .choices[data-type*='text'] .choices__button:hover,\\n.bk-root .choices[data-type*='text'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices__inner {\\n  display: inline-block;\\n  vertical-align: top;\\n  width: 100%;\\n  background-color: #f9f9f9;\\n  padding: 7.5px 7.5px 3.75px;\\n  border: 1px solid #dddddd;\\n  border-radius: 2.5px;\\n  font-size: 14px;\\n  min-height: 44px;\\n  overflow: hidden;\\n}\\n.bk-root .is-focused .choices__inner,\\n.bk-root .is-open .choices__inner {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-open .choices__inner {\\n  border-radius: 2.5px 2.5px 0 0;\\n}\\n.bk-root .is-flipped.is-open .choices__inner {\\n  border-radius: 0 0 2.5px 2.5px;\\n}\\n.bk-root .choices__list {\\n  margin: 0;\\n  padding-left: 0;\\n  list-style: none;\\n}\\n.bk-root .choices__list--single {\\n  display: inline-block;\\n  padding: 4px 16px 4px 4px;\\n  width: 100%;\\n}\\n.bk-root [dir='rtl'] .choices__list--single {\\n  padding-right: 4px;\\n  padding-left: 16px;\\n}\\n.bk-root .choices__list--single .choices__item {\\n  width: 100%;\\n}\\n.bk-root .choices__list--multiple {\\n  display: inline;\\n}\\n.bk-root .choices__list--multiple .choices__item {\\n  display: inline-block;\\n  vertical-align: middle;\\n  border-radius: 20px;\\n  padding: 4px 10px;\\n  font-size: 12px;\\n  font-weight: 500;\\n  margin-right: 3.75px;\\n  margin-bottom: 3.75px;\\n  background-color: #00bcd4;\\n  border: 1px solid #00a5bb;\\n  color: #ffffff;\\n  word-break: break-all;\\n  box-sizing: border-box;\\n}\\n.bk-root .choices__list--multiple .choices__item[data-deletable] {\\n  padding-right: 5px;\\n}\\n.bk-root [dir='rtl'] .choices__list--multiple .choices__item {\\n  margin-right: 0;\\n  margin-left: 3.75px;\\n}\\n.bk-root .choices__list--multiple .choices__item.is-highlighted {\\n  background-color: #00a5bb;\\n  border: 1px solid #008fa1;\\n}\\n.bk-root .is-disabled .choices__list--multiple .choices__item {\\n  background-color: #aaaaaa;\\n  border: 1px solid #919191;\\n}\\n.bk-root .choices__list--dropdown {\\n  visibility: hidden;\\n  z-index: 1;\\n  position: absolute;\\n  width: 100%;\\n  background-color: #ffffff;\\n  border: 1px solid #dddddd;\\n  top: 100%;\\n  margin-top: -1px;\\n  border-bottom-left-radius: 2.5px;\\n  border-bottom-right-radius: 2.5px;\\n  overflow: hidden;\\n  word-break: break-all;\\n  will-change: visibility;\\n}\\n.bk-root .choices__list--dropdown.is-active {\\n  visibility: visible;\\n}\\n.bk-root .is-open .choices__list--dropdown {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-flipped .choices__list--dropdown {\\n  top: auto;\\n  bottom: 100%;\\n  margin-top: 0;\\n  margin-bottom: -1px;\\n  border-radius: 0.25rem 0.25rem 0 0;\\n}\\n.bk-root .choices__list--dropdown .choices__list {\\n  position: relative;\\n  max-height: 300px;\\n  overflow: auto;\\n  -webkit-overflow-scrolling: touch;\\n  will-change: scroll-position;\\n}\\n.bk-root .choices__list--dropdown .choices__item {\\n  position: relative;\\n  padding: 10px;\\n  font-size: 14px;\\n}\\n.bk-root [dir='rtl'] .choices__list--dropdown .choices__item {\\n  text-align: right;\\n}\\n@media (min-width: 640px) {\\n  .bk-root .choices__list--dropdown .choices__item--selectable {\\n    padding-right: 100px;\\n  }\\n  .bk-root .choices__list--dropdown .choices__item--selectable:after {\\n    content: attr(data-select-text);\\n    font-size: 12px;\\n    opacity: 0;\\n    position: absolute;\\n    right: 10px;\\n    top: 50%;\\n    transform: translateY(-50%);\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable {\\n    text-align: right;\\n    padding-left: 100px;\\n    padding-right: 10px;\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable:after {\\n    right: auto;\\n    left: 10px;\\n  }\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted:after {\\n  opacity: 0.5;\\n}\\n.bk-root .choices__item {\\n  cursor: default;\\n}\\n.bk-root .choices__item--selectable {\\n  cursor: pointer;\\n}\\n.bk-root .choices__item--disabled {\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  opacity: 0.5;\\n}\\n.bk-root .choices__heading {\\n  font-weight: 600;\\n  font-size: 12px;\\n  padding: 10px;\\n  border-bottom: 1px solid #f7f7f7;\\n  color: gray;\\n}\\n.bk-root .choices__button {\\n  text-indent: -9999px;\\n  -webkit-appearance: none;\\n  -moz-appearance: none;\\n  appearance: none;\\n  border: 0;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center;\\n  cursor: pointer;\\n}\\n.bk-root .choices__button:focus {\\n  outline: none;\\n}\\n.bk-root .choices__input {\\n  display: inline-block;\\n  vertical-align: baseline;\\n  background-color: #f9f9f9;\\n  font-size: 14px;\\n  margin-bottom: 5px;\\n  border: 0;\\n  border-radius: 0;\\n  max-width: 100%;\\n  padding: 4px 0 4px 2px;\\n}\\n.bk-root .choices__input:focus {\\n  outline: 0;\\n}\\n.bk-root [dir='rtl'] .choices__input {\\n  padding-right: 2px;\\n  padding-left: 0;\\n}\\n.bk-root .choices__placeholder {\\n  opacity: 0.5;\\n}\\n.bk-root .choices {\\n  width: 100%;\\n}\\n.bk-root .choices__inner .choices__item.light {\\n  background-color: rgba(0, 126, 255, 0.08);\\n  border-radius: 5px;\\n  border: 1px solid rgba(0, 126, 255, 0.24);\\n  color: #007eff;\\n}\\n.bk-root .choices__inner .choices__item.solid {\\n  background-color: #1f77b4;\\n  border: none;\\n  border-radius: 5px;\\n  color: white;\\n}\\n.bk-root .choices__inner .choices__item.solid .is-highlighted {\\n  background-color: #1f77b4;\\n  border: none;\\n}\\n.bk-root .choices__input {\\n  background-color: transparent;\\n}\\n.bk-root .choices__inner {\\n  background: transparent;\\n  border: 1px solid darkgray;\\n  border-radius: 5px;\\n  min-height: unset;\\n}\\n.bk-root .choices__list {\\n  white-space: initial;\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.light {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDA3ZWZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.solid {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjZmZmZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  border-left: 1px solid white;\\n  opacity: 1;\\n}\\n\"},\n",
+       "      429: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=e(418),i=e(68);class n extends s.MarkupView{render(){super.render();const e=i.pre({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=n,n.__name__=\"PreTextView\";class _ extends s.Markup{constructor(e){super(e)}static init_PreText(){this.prototype.default_view=n}}r.PreText=_,_.__name__=\"PreText\",_.init_PreText()},\n",
+       "      430: function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(403),n=t(68),u=i.__importStar(t(18)),s=t(146);class _ extends a.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach((o,e)=>{n.classes(o).toggle(s.bk_active,t===e)})}}e.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class c extends a.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define({active:[u.Any,null]})}}e.RadioButtonGroup=c,c.__name__=\"RadioButtonGroup\",c.init_RadioButtonGroup()},\n",
+       "      431: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),a=e(68),s=e(24),o=n.__importStar(e(18)),d=e(405),l=e(146),p=e(400);class r extends d.InputGroupView{render(){super.render();const e=a.div({class:[p.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const i=s.uniqueId(),{active:t,labels:n}=this.model;this._inputs=[];for(let s=0;s<n.length;s++){const o=a.input({type:\"radio\",name:i,value:\"\"+s});o.addEventListener(\"change\",()=>this.change_active(s)),this._inputs.push(o),this.model.disabled&&(o.disabled=!0),s==t&&(o.checked=!0);const d=a.label({},o,a.span({},n[s]));e.appendChild(d)}}change_active(e){this.model.active=e}}t.RadioGroupView=r,r.__name__=\"RadioGroupView\";class u extends d.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=r,this.define({active:[o.Number],labels:[o.Array,[]],inline:[o.Boolean,!1]})}}t.RadioGroup=u,u.__name__=\"RadioGroup\",u.init_RadioGroup()},\n",
+       "      432: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),a=e(411),n=e(8);class o extends a.AbstractRangeSliderView{}r.RangeSliderView=o,o.__name__=\"RangeSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(e,t){return n.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.RangeSlider=s,s.__name__=\"RangeSlider\",s.init_RangeSlider()},\n",
+       "      433: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(68),l=e(8),o=e(17),p=n.__importStar(e(18)),u=e(398),a=e(400);class _ extends u.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,()=>{this._update_value()}),this.on_change(t,()=>{s.empty(this.input_el),s.append(this.input_el,...this.options_el())})}options_el(){function e(e){return e.map(e=>{let t,i;return l.isString(e)?t=i=e:[t,i]=e,s.option({value:t},i)})}const{options:t}=this.model;return l.isArray(t)?e(t):o.entries(t).map(([t,i])=>s.optgroup({label:t},e(i)))}render(){super.render(),this.input_el=s.select({class:a.bk_input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;null!=e&&0!=e.length&&(this.input_el.value=this.model.value)}}i.SelectView=_,_.__name__=\"SelectView\";class h extends u.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=_,this.define({value:[p.String,\"\"],options:[p.Any,[]]})}}i.Select=h,h.__name__=\"Select\",h.init_Select()},\n",
+       "      434: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),o=e(411),s=e(8);class _ extends o.AbstractSliderView{}r.SliderView=_,_.__name__=\"SliderView\";class a extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=_,this.override({format:\"0[.]00\"})}_formatter(e,t){return s.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.Slider=a,a.__name__=\"Slider\",a.init_Slider()},\n",
+       "      435: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),h=n.__importStar(e(18)),o=e(400),{floor:p,max:d,min:u}=Math;function r(e){return p(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.low.change,()=>{const{low:e}=this.model;null!=e&&(this.input_el.min=e.toFixed(16))}),this.connect(this.model.properties.high.change,()=>{const{high:e}=this.model;null!=e&&(this.input_el.max=e.toFixed(16))}),this.connect(this.model.properties.step.change,()=>{const{step:e}=this.model;this.input_el.step=e.toFixed(16)}),this.connect(this.model.properties.value.change,()=>{const{value:e,step:t}=this.model;this.input_el.value=e.toFixed(r(t)).replace(/(\\.[0-9]*[1-9])0+$|\\.0*$/,\"$1\")}),this.connect(this.model.properties.disabled.change,()=>{this.input_el.disabled=this.model.disabled})}render(){super.render(),this.input_el=l.input({type:\"number\",class:o.bk_input,name:this.model.name,min:this.model.low,max:this.model.high,value:this.model.value,step:this.model.step,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){if(this.input_el.value){const{step:e}=this.model;let t=Number(this.input_el.value);null!=this.model.low&&(t=d(t,this.model.low)),null!=this.model.high&&(t=u(t,this.model.high)),this.model.value=Number(t.toFixed(r(e))),super.change_input()}}}i.SpinnerView=a,a.__name__=\"SpinnerView\";class c extends s.InputWidget{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=a,this.define({value:[h.Number,0],low:[h.Number,null],high:[h.Number,null],step:[h.Number,1]})}}i.Spinner=c,c.__name__=\"Spinner\",c.init_Spinner()},\n",
+       "      436: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(398),l=e(68),h=s.__importStar(e(18)),o=e(400);class a extends n.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder),this.connect(this.model.properties.rows.change,()=>this.input_el.rows=this.model.rows),this.connect(this.model.properties.cols.change,()=>this.input_el.cols=this.model.cols),this.connect(this.model.properties.max_length.change,()=>this.input_el.maxLength=this.model.max_length)}render(){super.render(),this.input_el=l.textarea({class:o.bk_input,name:this.model.name,disabled:this.model.disabled,placeholder:this.model.placeholder,cols:this.model.cols,rows:this.model.rows,maxLength:this.model.max_length}),this.input_el.textContent=this.model.value,this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}}i.TextAreaInputView=a,a.__name__=\"TextAreaInputView\";class p extends n.InputWidget{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=a,this.define({value:[h.String,\"\"],value_input:[h.String,\"\"],placeholder:[h.String,\"\"],cols:[h.Number,20],rows:[h.Number,2],max_length:[h.Number,500]})}}i.TextAreaInput=p,p.__name__=\"TextAreaInput\",p.init_TextAreaInput()},\n",
+       "      437: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),c=e(392),o=e(68),a=s.__importStar(e(18)),n=e(146);class l extends c.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._update_active())}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){o.classes(this.button_el).toggle(n.bk_active,this.model.active)}}i.ToggleView=l,l.__name__=\"ToggleView\";class _ extends c.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=l,this.define({active:[a.Boolean,!1]}),this.override({label:\"Toggle\"})}}i.Toggle=_,_.__name__=\"Toggle\",_.init_Toggle()},\n",
+       "      }, 390, {\"models/widgets/main\":390,\"models/widgets/index\":391,\"models/widgets/abstract_button\":392,\"models/widgets/control\":393,\"models/widgets/widget\":458,\"models/widgets/abstract_icon\":395,\"models/widgets/autocomplete_input\":396,\"models/widgets/text_input\":397,\"models/widgets/input_widget\":398,\"styles/widgets/inputs.css\":399,\"styles/widgets/inputs\":400,\"models/widgets/button\":401,\"models/widgets/checkbox_button_group\":402,\"models/widgets/button_group\":403,\"models/widgets/checkbox_group\":404,\"models/widgets/input_group\":405,\"models/widgets/color_picker\":406,\"models/widgets/date_picker\":407,\"styles/widgets/flatpickr.css\":409,\"models/widgets/date_range_slider\":410,\"models/widgets/abstract_slider\":411,\"styles/widgets/sliders\":413,\"styles/widgets/nouislider.css\":414,\"styles/widgets/sliders.css\":415,\"models/widgets/date_slider\":416,\"models/widgets/div\":417,\"models/widgets/markup\":418,\"styles/clearfix\":419,\"styles/clearfix.css\":420,\"models/widgets/dropdown\":421,\"models/widgets/file_input\":422,\"models/widgets/multiselect\":423,\"models/widgets/paragraph\":424,\"models/widgets/password_input\":425,\"models/widgets/multichoice\":426,\"styles/widgets/choices.css\":428,\"models/widgets/pretext\":429,\"models/widgets/radio_button_group\":430,\"models/widgets/radio_group\":431,\"models/widgets/range_slider\":432,\"models/widgets/selectbox\":433,\"models/widgets/slider\":434,\"models/widgets/spinner\":435,\"models/widgets/textarea_input\":436,\"models/widgets/toggle\":437}, {});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END bokeh-widgets.min.js */\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN bokeh-tables.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        factory(root[\"Bokeh\"], \"2.1.1\");\n",
+       "      })(this, function(Bokeh, version) {\n",
+       "        var define;\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
+       "          if (bokeh != null) {\n",
+       "            return bokeh.register_plugin(modules, entry, aliases);\n",
+       "          } else {\n",
+       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
+       "          }\n",
+       "        })\n",
+       "      ({\n",
+       "      438: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(439));o.Tables=r,e(7).register_models(r)},\n",
+       "      439: function _(a,g,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(1);e.__exportStar(a(440),r),e.__exportStar(a(462),r);var t=a(441);r.DataTable=t.DataTable;var o=a(465);r.TableColumn=o.TableColumn;var n=a(457);r.TableWidget=n.TableWidget;var u=a(466);r.AvgAggregator=u.AvgAggregator,r.MinAggregator=u.MinAggregator,r.MaxAggregator=u.MaxAggregator,r.SumAggregator=u.SumAggregator;var l=a(467);r.GroupingInfo=l.GroupingInfo,r.DataCube=l.DataCube},\n",
+       "      440: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1).__importStar(e(18)),r=e(68),a=e(66),n=e(71),l=e(441),u=e(459);class d extends a.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(u.bk_cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",e=>{switch(e.keyCode){case r.Keys.Left:case r.Keys.Right:case r.Keys.Up:case r.Keys.Down:case r.Keys.PageUp:case r.Keys.PageDown:e.stopImmediatePropagation()}})}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[l.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=d,d.__name__=\"CellEditorView\";class o extends n.Model{}i.CellEditor=o,o.__name__=\"CellEditor\";class _ extends d{get emptyValue(){return\"\"}_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=_,_.__name__=\"StringEditorView\";class c extends o{static init_StringEditor(){this.prototype.default_view=_,this.define({completions:[s.Array,[]]})}}i.StringEditor=c,c.__name__=\"StringEditor\",c.init_StringEditor();class p extends d{_createInput(){return r.textarea()}}i.TextEditorView=p,p.__name__=\"TextEditorView\";class h extends o{static init_TextEditor(){this.prototype.default_view=p}}i.TextEditor=h,h.__name__=\"TextEditor\",h.init_TextEditor();class E extends d{_createInput(){return r.select()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild(r.option({value:e},e));this.focus()}}i.SelectEditorView=E,E.__name__=\"SelectEditorView\";class V extends o{static init_SelectEditor(){this.prototype.default_view=E,this.define({options:[s.Array,[]]})}}i.SelectEditor=V,V.__name__=\"SelectEditor\",V.init_SelectEditor();class m extends d{_createInput(){return r.input({type:\"text\"})}}i.PercentEditorView=m,m.__name__=\"PercentEditorView\";class f extends o{static init_PercentEditor(){this.prototype.default_view=m}}i.PercentEditor=f,f.__name__=\"PercentEditor\",f.init_PercentEditor();class x extends d{_createInput(){return r.input({type:\"checkbox\",value:\"true\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=x,x.__name__=\"CheckboxEditorView\";class w extends o{static init_CheckboxEditor(){this.prototype.default_view=x}}i.CheckboxEditor=w,w.__name__=\"CheckboxEditor\",w.init_CheckboxEditor();class g extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseInt(this.getValue(),10)||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=g,g.__name__=\"IntEditorView\";class v extends o{static init_IntEditor(){this.prototype.default_view=g,this.define({step:[s.Number,1]})}}i.IntEditor=v,v.__name__=\"IntEditor\",v.init_IntEditor();class y extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseFloat(this.getValue())||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=y,y.__name__=\"NumberEditorView\";class b extends o{static init_NumberEditor(){this.prototype.default_view=y,this.define({step:[s.Number,.01]})}}i.NumberEditor=b,b.__name__=\"NumberEditor\",b.init_NumberEditor();class I extends d{_createInput(){return r.input({type:\"text\"})}}i.TimeEditorView=I,I.__name__=\"TimeEditorView\";class N extends o{static init_TimeEditor(){this.prototype.default_view=I}}i.TimeEditor=N,N.__name__=\"TimeEditor\",N.init_TimeEditor();class C extends d{_createInput(){return r.input({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=C,C.__name__=\"DateEditorView\";class D extends o{static init_DateEditor(){this.prototype.default_view=C}}i.DateEditor=D,D.__name__=\"DateEditor\",D.init_DateEditor()},\n",
+       "      441: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),o=e(442),n=e(446),l=e(447),r=e(448),d=s.__importStar(e(18)),a=e(24),h=e(8),c=e(9),u=e(17),_=e(72),m=e(188),g=e(457),p=e(458),b=e(459),f=s.__importDefault(e(460)),w=s.__importDefault(e(461));i.DTINDEX_NAME=\"__bkdt_internal_index__\";class x{constructor(e,t){this.init(e,t)}init(e,t){if(i.DTINDEX_NAME in e.data)throw new Error(`special name ${i.DTINDEX_NAME} cannot be used as a data table column`);this.source=e,this.view=t,this.index=this.view.indices}getLength(){return this.index.length}getItem(e){const t={};for(const i of u.keys(this.source.data))t[i]=this.source.data[i][this.index[e]];return t[i.DTINDEX_NAME]=this.index[e],t}getField(e,t){return t==i.DTINDEX_NAME?this.index[e]:this.source.data[t][this.index[e]]}setField(e,t,i){const s=this.index[e];this.source.patch({[t]:[[s,i]]})}getItemMetadata(e){return null}getRecords(){return c.range(0,this.getLength()).map(e=>this.getItem(e))}sort(e){let t=e.map(e=>[e.sortCol.field,e.sortAsc?1:-1]);0==t.length&&(t=[[i.DTINDEX_NAME,1]]);const s=this.getRecords(),o=this.index.slice();this.index.sort((function(e,i){for(const[n,l]of t){const t=s[o.indexOf(e)][n],r=s[o.indexOf(i)][n],d=t==r?0:t>r?l:-l;if(0!=d)return d}return 0}))}}i.TableDataProvider=x,x.__name__=\"TableDataProvider\";class C extends p.WidgetView{constructor(){super(...arguments),this._in_selection_update=!1,this._warned_not_reorderable=!1}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.source.streaming,()=>this.updateGrid()),this.connect(this.model.source.patching,()=>this.updateGrid()),this.connect(this.model.source.change,()=>this.updateGrid()),this.connect(this.model.source.properties.data.change,()=>this.updateGrid()),this.connect(this.model.source.selected.change,()=>this.updateSelection()),this.connect(this.model.source.selected.properties.indices.change,()=>this.updateSelection())}remove(){var e;null===(e=this.grid)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),f.default,w.default]}_update_layout(){this.layout=new m.LayoutItem,this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.grid.resizeCanvas()}updateGrid(){if(this.model.view.compute_indices(),this.data.init(this.model.source,this.model.view),this.model.sortable){const e=this.grid.getColumns(),t=this.grid.getSortColumns().map(t=>({sortCol:{field:e[this.grid.getColumnIndex(t.columnId)].field},sortAsc:t.sortAsc}));this.data.sort(t)}this.grid.invalidate(),this.grid.render()}updateSelection(){if(this._in_selection_update)return;const{selected:e}=this.model.source,t=e.indices.map(e=>this.data.index.indexOf(e)).sort();this._in_selection_update=!0,this.grid.setSelectedRows(t),this._in_selection_update=!1;const i=this.grid.getViewport(),s=this.model.get_scroll_index(i,t);null!=s&&this.grid.scrollRowToTop(s)}newIndexColumn(){return{id:a.uniqueId(),name:this.model.index_header,field:i.DTINDEX_NAME,width:this.model.index_width,behavior:\"select\",cannotTriggerInsert:!0,resizable:!1,selectable:!1,sortable:!0,cssClass:b.bk_cell_index,headerCssClass:b.bk_header_index}}css_classes(){return super.css_classes().concat(b.bk_data_table)}render(){let e,t=this.model.columns.map(e=>Object.assign(Object.assign({},e.toColumn()),{parent:this}));if(\"checkbox\"==this.model.selectable&&(e=new n.CheckboxSelectColumn({cssClass:b.bk_cell_select}),t.unshift(e.getColumnDefinition())),null!=this.model.index_position){const e=this.model.index_position,i=this.newIndexColumn();-1==e?t.push(i):e<-1?t.splice(e+1,0,i):t.splice(e,0,i)}let{reorderable:i}=this.model;!i||\"undefined\"!=typeof $&&null!=$.fn&&null!=$.fn.sortable||(this._warned_not_reorderable||(_.logger.warn(\"jquery-ui is required to enable DataTable.reorderable\"),this._warned_not_reorderable=!0),i=!1);const s={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:i,forceFitColumns:this.model.fit_columns,multiColumnSort:this.model.sortable,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height};if(this.data=new x(this.model.source,this.model.view),this.grid=new r.Grid(this.el,this.data,t,s),this.grid.onSort.subscribe((e,i)=>{this.model.sortable&&(t=i.sortCols,this.data.sort(t),this.grid.invalidate(),this.updateSelection(),this.grid.render(),this.model.header_row||this._hide_header(),this.model.update_sort_columns(t))}),!1!==this.model.selectable){this.grid.setSelectionModel(new o.RowSelectionModel({selectActiveRow:null==e})),null!=e&&this.grid.registerPlugin(e);const t={dataItemColumnValueExtractor(e,t){let i=e[t.field];return h.isString(i)&&(i=i.replace(/\\n/g,\"\\\\n\")),i},includeHeaderWhenCopying:!1};this.grid.registerPlugin(new l.CellExternalCopyManager(t)),this.grid.onSelectedRowsChanged.subscribe((e,t)=>{this._in_selection_update||(this.model.source.selected.indices=t.rows.map(e=>this.data.index[e]))}),this.updateSelection(),this.model.header_row||this._hide_header()}}_hide_header(){for(const e of Array.from(this.el.querySelectorAll(\".slick-header-columns\")))e.style.height=\"0px\";this.grid.resizeCanvas()}}i.DataTableView=C,C.__name__=\"DataTableView\";class D extends g.TableWidget{constructor(e){super(e),this._sort_columns=[]}get sort_columns(){return this._sort_columns}static init_DataTable(){this.prototype.default_view=C,this.define({columns:[d.Array,[]],fit_columns:[d.Boolean,!0],sortable:[d.Boolean,!0],reorderable:[d.Boolean,!0],editable:[d.Boolean,!1],selectable:[d.Any,!0],index_position:[d.Int,0],index_header:[d.String,\"#\"],index_width:[d.Int,40],scroll_to_selection:[d.Boolean,!0],header_row:[d.Boolean,!0],row_height:[d.Int,25]}),this.override({width:600,height:400})}update_sort_columns(e){return this._sort_columns=e.map(e=>({field:e.sortCol.field,sortAsc:e.sortAsc})),null}get_scroll_index(e,t){return this.scroll_to_selection&&0!=t.length?c.some(t,t=>e.top<=t&&t<=e.bottom)?null:Math.max(0,Math.min(...t)-1):null}}i.DataTable=D,D.__name__=\"DataTable\",D.init_DataTable()},\n",
+       "      442: function _(e,t,n){var o=e(443),r=e(445);t.exports={RowSelectionModel:function(e){var t,n,l,i=[],c=this,u=new r.EventHandler,s={selectActiveRow:!0};function a(e){return function(){n||(n=!0,e.apply(this,arguments),n=!1)}}function f(e){for(var t=[],n=0;n<e.length;n++)for(var o=e[n].fromRow;o<=e[n].toRow;o++)t.push(o);return t}function h(e){for(var n=[],o=t.getColumns().length-1,l=0;l<e.length;l++)n.push(new r.Range(e[l],0,e[l],o));return n}function w(){return f(i)}function g(e){(i&&0!==i.length||e&&0!==e.length)&&(i=e,c.onSelectedRangesChanged.notify(i))}function v(e,n){l.selectActiveRow&&null!=n.row&&g([new r.Range(n.row,0,n.row,t.getColumns().length-1)])}function p(e){var n=t.getActiveCell();if(t.getOptions().multiSelect&&n&&e.shiftKey&&!e.ctrlKey&&!e.altKey&&!e.metaKey&&(e.which==r.keyCode.UP||e.which==r.keyCode.DOWN)){var o=w();o.sort((function(e,t){return e-t})),o.length||(o=[n.row]);var l,i=o[0],c=o[o.length-1];if((l=e.which==r.keyCode.DOWN?n.row<c||i==c?++c:++i:n.row<c?--c:--i)>=0&&l<t.getDataLength())t.scrollRowIntoView(l),g(h(function(e,t){var n,o=[];for(n=e;n<=t;n++)o.push(n);for(n=t;n<e;n++)o.push(n);return o}(i,c)));e.preventDefault(),e.stopPropagation()}}function y(e){var n=t.getCellFromEvent(e);if(!n||!t.canCellBeActive(n.row,n.cell))return!1;if(!t.getOptions().multiSelect||!e.ctrlKey&&!e.shiftKey&&!e.metaKey)return!1;var r=f(i),l=o.inArray(n.row,r);if(-1===l&&(e.ctrlKey||e.metaKey))r.push(n.row),t.setActiveCell(n.row,n.cell);else if(-1!==l&&(e.ctrlKey||e.metaKey))r=o.grep(r,(function(e,t){return e!==n.row})),t.setActiveCell(n.row,n.cell);else if(r.length&&e.shiftKey){var c=r.pop(),u=Math.min(n.row,c),s=Math.max(n.row,c);r=[];for(var a=u;a<=s;a++)a!==c&&r.push(a);r.push(c),t.setActiveCell(n.row,n.cell)}return g(h(r)),e.stopImmediatePropagation(),!0}o.extend(this,{getSelectedRows:w,setSelectedRows:function(e){g(h(e))},getSelectedRanges:function(){return i},setSelectedRanges:g,init:function(n){l=o.extend(!0,{},s,e),t=n,u.subscribe(t.onActiveCellChanged,a(v)),u.subscribe(t.onKeyDown,a(p)),u.subscribe(t.onClick,a(y))},destroy:function(){u.unsubscribeAll()},onSelectedRangesChanged:new r.Event})}}},\n",
+       "      443: function _(e,n,f){n.exports=\"undefined\"!=typeof $?$:e(444)},\n",
+       "      444: function _(e,t,n){\n",
+       "      /*!\n",
+       "           * jQuery JavaScript Library v3.5.0\n",
+       "           * https://jquery.com/\n",
+       "           *\n",
+       "           * Includes Sizzle.js\n",
+       "           * https://sizzlejs.com/\n",
+       "           *\n",
+       "           * Copyright JS Foundation and other contributors\n",
+       "           * Released under the MIT license\n",
+       "           * https://jquery.org/license\n",
+       "           *\n",
+       "           * Date: 2020-04-10T15:07Z\n",
+       "           */\n",
+       "      !function(e,n){\"use strict\";\"object\"==typeof t&&\"object\"==typeof t.exports?t.exports=e.document?n(e,!0):function(e){if(!e.document)throw new Error(\"jQuery requires a window with a document\");return n(e)}:n(e)}(\"undefined\"!=typeof window?window:this,(function(e,t){\"use strict\";var n=[],r=Object.getPrototypeOf,i=n.slice,o=n.flat?function(e){return n.flat.call(e)}:function(e){return n.concat.apply([],e)},a=n.push,s=n.indexOf,u={},l=u.toString,c=u.hasOwnProperty,f=c.toString,p=f.call(Object),d={},h=function(e){return\"function\"==typeof e&&\"number\"!=typeof e.nodeType},g=function(e){return null!=e&&e===e.window},v=e.document,y={type:!0,src:!0,nonce:!0,noModule:!0};function m(e,t,n){var r,i,o=(n=n||v).createElement(\"script\");if(o.text=e,t)for(r in y)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function x(e){return null==e?e+\"\":\"object\"==typeof e||\"function\"==typeof e?u[l.call(e)]||\"object\":typeof e}var b=function(e,t){return new b.fn.init(e,t)};function w(e){var t=!!e&&\"length\"in e&&e.length,n=x(e);return!h(e)&&!g(e)&&(\"array\"===n||0===t||\"number\"==typeof t&&t>0&&t-1 in e)}b.fn=b.prototype={jquery:\"3.5.0\",constructor:b,length:0,toArray:function(){return i.call(this)},get:function(e){return null==e?i.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=b.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return b.each(this,e)},map:function(e){return this.pushStack(b.map(this,(function(t,n){return e.call(t,n,t)})))},slice:function(){return this.pushStack(i.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(b.grep(this,(function(e,t){return(t+1)%2})))},odd:function(){return this.pushStack(b.grep(this,(function(e,t){return t%2})))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(n>=0&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:a,sort:n.sort,splice:n.splice},b.extend=b.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for(\"boolean\"==typeof a&&(l=a,a=arguments[s]||{},s++),\"object\"==typeof a||h(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],\"__proto__\"!==t&&a!==r&&(l&&r&&(b.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||b.isPlainObject(n)?n:{},i=!1,a[t]=b.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},b.extend({expando:\"jQuery\"+(\"3.5.0\"+Math.random()).replace(/\\D/g,\"\"),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||\"[object Object]\"!==l.call(e))&&(!(t=r(e))||\"function\"==typeof(n=c.call(t,\"constructor\")&&t.constructor)&&f.call(n)===p)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){m(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(w(e))for(n=e.length;r<n&&!1!==t.call(e[r],r,e[r]);r++);else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(w(Object(e))?b.merge(n,\"string\"==typeof e?[e]:e):a.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:s.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,a=0,s=[];if(w(e))for(r=e.length;a<r;a++)null!=(i=t(e[a],a,n))&&s.push(i);else for(a in e)null!=(i=t(e[a],a,n))&&s.push(i);return o(s)},guid:1,support:d}),\"function\"==typeof Symbol&&(b.fn[Symbol.iterator]=n[Symbol.iterator]),b.each(\"Boolean Number String Function Array Date RegExp Object Error Symbol\".split(\" \"),(function(e,t){u[\"[object \"+t+\"]\"]=t.toLowerCase()}));var T=\n",
+       "      /*!\n",
+       "               * Sizzle CSS Selector Engine v2.3.5\n",
+       "               * https://sizzlejs.com/\n",
+       "               *\n",
+       "               * Copyright JS Foundation and other contributors\n",
+       "               * Released under the MIT license\n",
+       "               * https://js.foundation/\n",
+       "               *\n",
+       "               * Date: 2020-03-14\n",
+       "               */\n",
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+       "      445: function _(t,i,n){function o(){var t=!1,i=!1;this.stopPropagation=function(){t=!0},this.isPropagationStopped=function(){return t},this.stopImmediatePropagation=function(){i=!0},this.isImmediatePropagationStopped=function(){return i}}function e(){this.__nonDataRow=!0}function r(){this.__group=!0,this.level=0,this.count=0,this.value=null,this.title=null,this.collapsed=!1,this.selectChecked=!1,this.totals=null,this.rows=[],this.groups=null,this.groupingKey=null}function s(){this.__groupTotals=!0,this.group=null,this.initialized=!1}function l(){var t=null;this.isActive=function(i){return i?t===i:null!==t},this.activate=function(i){if(i!==t){if(null!==t)throw new Error(\"SlickGrid.EditorLock.activate: an editController is still active, can't activate another editController\");if(!i.commitCurrentEdit)throw new Error(\"SlickGrid.EditorLock.activate: editController must implement .commitCurrentEdit()\");if(!i.cancelCurrentEdit)throw new Error(\"SlickGrid.EditorLock.activate: editController must implement .cancelCurrentEdit()\");t=i}},this.deactivate=function(i){if(t!==i)throw new Error(\"SlickGrid.EditorLock.deactivate: specified editController is not the currently active one\");t=null},this.commitCurrentEdit=function(){return!t||t.commitCurrentEdit()},this.cancelCurrentEdit=function(){return!t||t.cancelCurrentEdit()}}r.prototype=new e,r.prototype.equals=function(t){return this.value===t.value&&this.count===t.count&&this.collapsed===t.collapsed&&this.title===t.title},s.prototype=new e,i.exports={Event:function(){var t=[];this.subscribe=function(i){t.push(i)},this.unsubscribe=function(i){for(var n=t.length-1;n>=0;n--)t[n]===i&&t.splice(n,1)},this.notify=function(i,n,e){var r;n=n||new o,e=e||this;for(var s=0;s<t.length&&!n.isPropagationStopped()&&!n.isImmediatePropagationStopped();s++)r=t[s].call(e,n,i);return r}},EventData:o,EventHandler:function(){var t=[];this.subscribe=function(i,n){return t.push({event:i,handler:n}),i.subscribe(n),this},this.unsubscribe=function(i,n){for(var o=t.length;o--;)if(t[o].event===i&&t[o].handler===n)return t.splice(o,1),void i.unsubscribe(n);return this},this.unsubscribeAll=function(){for(var i=t.length;i--;)t[i].event.unsubscribe(t[i].handler);return t=[],this}},Range:function(t,i,n,o){void 0===n&&void 0===o&&(n=t,o=i),this.fromRow=Math.min(t,n),this.fromCell=Math.min(i,o),this.toRow=Math.max(t,n),this.toCell=Math.max(i,o),this.isSingleRow=function(){return this.fromRow==this.toRow},this.isSingleCell=function(){return this.fromRow==this.toRow&&this.fromCell==this.toCell},this.contains=function(t,i){return t>=this.fromRow&&t<=this.toRow&&i>=this.fromCell&&i<=this.toCell},this.toString=function(){return this.isSingleCell()?\"(\"+this.fromRow+\":\"+this.fromCell+\")\":\"(\"+this.fromRow+\":\"+this.fromCell+\" - \"+this.toRow+\":\"+this.toCell+\")\"}},NonDataRow:e,Group:r,GroupTotals:s,EditorLock:l,GlobalEditorLock:new l,keyCode:{BACKSPACE:8,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,ESC:27,HOME:36,INSERT:45,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,RIGHT:39,TAB:9,UP:38,C:67,V:86},preClickClassName:\"slick-edit-preclick\"}},\n",
+       "      446: function _(e,t,o){var l=e(443),c=e(445);t.exports={CheckboxSelectColumn:function(e){var t,o=g(),n=new c.EventHandler,i={},r=!1,d=l.extend(!0,{},{columnId:\"_checkbox_selector\",cssClass:null,hideSelectAllCheckbox:!1,toolTip:\"Select/Deselect All\",width:30,hideInColumnTitleRow:!1,hideInFilterHeaderRow:!0},e);function a(){t.updateColumnHeader(d.columnId,\"\",\"\")}function s(){l(\"#filter-checkbox-selectall-container\").hide()}function u(e,c){var n,a,s=t.getSelectedRows(),u={};for(a=0;a<s.length;a++)u[n=s[a]]=!0,u[n]!==i[n]&&(t.invalidateRow(n),delete i[n]);for(a in i)t.invalidateRow(a);(i=u,t.render(),r=s.length&&s.length==t.getDataLength(),d.hideInColumnTitleRow||d.hideSelectAllCheckbox||(r?t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox' checked='checked'><label for='header-selector\"+o+\"'></label>\",d.toolTip):t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",d.toolTip)),d.hideInFilterHeaderRow)||l(\"#header-filter-selector\"+o).prop(\"checked\",r)}function h(e,o){32==e.which&&t.getColumns()[o.cell].id===d.columnId&&(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit()||p(o.row),e.preventDefault(),e.stopImmediatePropagation())}function f(e,o){if(t.getColumns()[o.cell].id===d.columnId&&l(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();p(o.row),e.stopPropagation(),e.stopImmediatePropagation()}}function p(e){i[e]?t.setSelectedRows(l.grep(t.getSelectedRows(),(function(t){return t!=e}))):t.setSelectedRows(t.getSelectedRows().concat(e)),t.setActiveCell(e,function(){if(null===m){m=0;for(var e=t.getColumns(),o=0;o<e.length;o++)e[o].id==d.columnId&&(m=o)}return m}()),t.focus()}function b(e,o){if(o.column.id==d.columnId&&l(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();if(l(e.target).is(\":checked\")){for(var c=[],n=0;n<t.getDataLength();n++)c.push(n);t.setSelectedRows(c)}else t.setSelectedRows([]);e.stopPropagation(),e.stopImmediatePropagation()}}var m=null;function g(){return Math.round(1e7*Math.random())}function k(e,t,o,l,c){var n=g()+e;return c?i[e]?\"<input id='selector\"+n+\"' type='checkbox' checked='checked'><label for='selector\"+n+\"'></label>\":\"<input id='selector\"+n+\"' type='checkbox'><label for='selector\"+n+\"'></label>\":null}l.extend(this,{init:function(e){t=e,n.subscribe(t.onSelectedRowsChanged,u).subscribe(t.onClick,f).subscribe(t.onKeyDown,h),d.hideInFilterHeaderRow||function(e){e.onHeaderRowCellRendered.subscribe((function(e,t){\"sel\"===t.column.field&&(l(t.node).empty(),l(\"<span id='filter-checkbox-selectall-container'><input id='header-filter-selector\"+o+\"' type='checkbox'><label for='header-filter-selector\"+o+\"'></label></span>\").appendTo(t.node).on(\"click\",(function(e){b(e,t)})))}))}(e),d.hideInColumnTitleRow||n.subscribe(t.onHeaderClick,b)},destroy:function(){n.unsubscribeAll()},deSelectRows:function(e){var o,c=e.length,n=[];for(o=0;o<c;o++)i[e[o]]&&(n[n.length]=e[o]);t.setSelectedRows(l.grep(t.getSelectedRows(),(function(e){return n.indexOf(e)<0})))},selectRows:function(e){var o,l=e.length,c=[];for(o=0;o<l;o++)i[e[o]]||(c[c.length]=e[o]);t.setSelectedRows(t.getSelectedRows().concat(c))},getColumnDefinition:function(){return{id:d.columnId,name:d.hideSelectAllCheckbox||d.hideInColumnTitleRow?\"\":\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",toolTip:d.toolTip,field:\"sel\",width:d.width,resizable:!1,sortable:!1,cssClass:d.cssClass,hideSelectAllCheckbox:d.hideSelectAllCheckbox,formatter:k}},getOptions:function(){return d},setOptions:function(e){if((d=l.extend(!0,{},d,e)).hideSelectAllCheckbox)a(),s();else if(d.hideInColumnTitleRow?a():(r?t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox' checked='checked'><label for='header-selector\"+o+\"'></label>\",d.toolTip):t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",d.toolTip),n.subscribe(t.onHeaderClick,b)),d.hideInFilterHeaderRow)s();else{var c=l(\"#filter-checkbox-selectall-container\");c.show(),c.find('input[type=\"checkbox\"]').prop(\"checked\",r)}}})}}},\n",
+       "      447: function _(e,t,o){var l=e(443),n=e(445),a=n.keyCode;t.exports={CellExternalCopyManager:function(e){var t,o,r=this,i=e||{},s=i.copiedCellStyleLayerKey||\"copy-manager\",u=i.copiedCellStyle||\"copied\",c=0,d=i.bodyElement||document.body,f=i.onCopyInit||null,h=i.onCopySuccess||null;function C(e){if(i.headerColumnValueExtractor){var t=i.headerColumnValueExtractor(e);if(t)return t}return e.name}function m(e,o,n){if(i.dataItemColumnValueExtractor){var a=i.dataItemColumnValueExtractor(e,o);if(a)return a}var r=\"\";if(o.editor){var s={container:l(\"<p>\"),column:o,position:{top:0,left:0},grid:t,event:n},u=new o.editor(s);u.loadValue(e),r=u.serializeValue(),u.destroy()}else r=e[o.field];return r}function g(e,o,n){if(i.dataItemColumnValueSetter)return i.dataItemColumnValueSetter(e,o,n);if(o.editor){var a={container:l(\"body\"),column:o,position:{top:0,left:0},grid:t},r=new o.editor(a);r.loadValue(e),r.applyValue(e,n),r.destroy()}else e[o.field]=n}function p(e){var t=document.createElement(\"textarea\");return t.style.position=\"absolute\",t.style.left=\"-1000px\",t.style.top=document.body.scrollTop+\"px\",t.value=e,d.appendChild(t),t.select(),t}function y(e,l){var n;if(!t.getEditorLock().isActive()||t.getOptions().autoEdit){if(e.which==a.ESC&&o&&(e.preventDefault(),w(),r.onCopyCancelled.notify({ranges:o}),o=null),(e.which===a.C||e.which===a.INSERT)&&(e.ctrlKey||e.metaKey)&&!e.shiftKey&&(f&&f.call(),0!=(n=t.getSelectionModel().getSelectedRanges()).length)){o=n,v(n),r.onCopyCells.notify({ranges:n});for(var s=t.getColumns(),u=\"\",c=0;c<n.length;c++){for(var y=n[c],D=[],S=y.fromRow;S<y.toRow+1;S++){var R=[],x=t.getDataItem(S);if(\"\"==D&&i.includeHeaderWhenCopying){for(var V=[],E=y.fromCell;E<y.toCell+1;E++)s[E].name.length>0&&V.push(C(s[E]));D.push(V.join(\"\\t\"))}for(E=y.fromCell;E<y.toCell+1;E++)R.push(m(x,s[E],e));D.push(R.join(\"\\t\"))}u+=D.join(\"\\r\\n\")+\"\\r\\n\"}if(window.clipboardData)return window.clipboardData.setData(\"Text\",u),!0;var b=document.activeElement;if((M=p(u)).focus(),setTimeout((function(){d.removeChild(M),b?b.focus():console.log(\"Not element to restore focus to after copy?\")}),100),h){var I=0;I=1===n.length?n[0].toRow+1-n[0].fromRow:n.length,h.call(this,I)}return!1}if(!i.readOnlyMode&&(e.which===a.V&&(e.ctrlKey||e.metaKey)&&!e.shiftKey||e.which===a.INSERT&&e.shiftKey&&!e.ctrlKey)){var M=p(\"\");return setTimeout((function(){!function(e,t){var o=e.getColumns(),l=t.value.split(/[\\n\\f\\r]/);\"\"==l[l.length-1]&&l.pop();var n=[],a=0;d.removeChild(t);for(var s=0;s<l.length;s++)\"\"!=l[s]?n[a++]=l[s].split(\"\\t\"):n[s]=[\"\"];var u=e.getActiveCell(),c=e.getSelectionModel().getSelectedRanges(),f=c&&c.length?c[0]:null,h=null,C=null;if(f)h=f.fromRow,C=f.fromCell;else{if(!u)return;h=u.row,C=u.cell}var m=!1,p=n.length,y=n.length?n[0].length:0;1==n.length&&1==n[0].length&&f&&(m=!0,p=f.toRow-f.fromRow+1,y=f.toCell-f.fromCell+1);var w=e.getData().length-h,D=0;if(w<p&&i.newRowCreator){var S=e.getData();for(D=1;D<=p-w;D++)S.push({});e.setData(S),e.render()}var R=h+p>e.getDataLength();if(i.newRowCreator&&R){var x=h+p-e.getDataLength();i.newRowCreator(x)}var V={isClipboardCommand:!0,clippedRange:n,oldValues:[],cellExternalCopyManager:r,_options:i,setDataItemValueForColumn:g,markCopySelection:v,oneCellToMultiple:m,activeRow:h,activeCell:C,destH:p,destW:y,maxDestY:e.getDataLength(),maxDestX:e.getColumns().length,h:0,w:0,execute:function(){this.h=0;for(var t=0;t<this.destH;t++){this.oldValues[t]=[],this.w=0,this.h++;for(var l=0;l<this.destW;l++){this.w++;var a=h+t,r=C+l;if(a<this.maxDestY&&r<this.maxDestX){e.getCellNode(a,r);var i=e.getDataItem(a);this.oldValues[t][l]=i[o[r].field],m?this.setDataItemValueForColumn(i,o[r],n[0][0]):this.setDataItemValueForColumn(i,o[r],n[t]?n[t][l]:\"\"),e.updateCell(a,r),e.onCellChange.notify({row:a,cell:r,item:i,grid:e})}}}var s={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};this.markCopySelection([s]),e.getSelectionModel().setSelectedRanges([s]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[s]})},undo:function(){for(var t=0;t<this.destH;t++)for(var l=0;l<this.destW;l++){var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var r=e.getDataItem(n);m?this.setDataItemValueForColumn(r,o[a],this.oldValues[0][0]):this.setDataItemValueForColumn(r,o[a],this.oldValues[t][l]),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:r,grid:e})}}var i={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};if(this.markCopySelection([i]),e.getSelectionModel().setSelectedRanges([i]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[i]}),D>1){for(var s=e.getData();D>1;D--)s.splice(s.length-1,1);e.setData(s),e.render()}}};i.clipboardCommandHandler?i.clipboardCommandHandler(V):V.execute()}(t,M)}),100),!1}}}function v(e){w();for(var o=t.getColumns(),l={},n=0;n<e.length;n++)for(var a=e[n].fromRow;a<=e[n].toRow;a++){l[a]={};for(var i=e[n].fromCell;i<=e[n].toCell&&i<o.length;i++)l[a][o[i].id]=u}t.setCellCssStyles(s,l),clearTimeout(c),c=setTimeout((function(){r.clearCopySelection()}),2e3)}function w(){t.removeCellCssStyles(s)}l.extend(this,{init:function(e){(t=e).onKeyDown.subscribe(y);var o=e.getSelectionModel();if(!o)throw new Error(\"Selection model is mandatory for this plugin. Please set a selection model on the grid before adding this plugin: grid.setSelectionModel(new Slick.CellSelectionModel())\");o.onSelectedRangesChanged.subscribe((function(e,o){t.focus()}))},destroy:function(){t.onKeyDown.unsubscribe(y)},clearCopySelection:w,handleKeyDown:y,onCopyCells:new n.Event,onCopyCancelled:new n.Event,onPasteCells:new n.Event,setIncludeHeaderWhenCopying:function(e){i.includeHeaderWhenCopying=e}})}}},\n",
+       "      448: function _(r,t,o){var _=r(1);_.__exportStar(r(445),t.exports),_.__exportStar(r(449),t.exports),_.__exportStar(r(452),t.exports),_.__exportStar(r(453),t.exports),_.__exportStar(r(454),t.exports),_.__exportStar(r(455),t.exports),_.__exportStar(r(456),t.exports)},\n",
+       "      449: function _(require,module,exports){\n",
+       "      /**\n",
+       "           * @license\n",
+       "           * (c) 2009-2016 Michael Leibman\n",
+       "           * michael{dot}leibman{at}gmail{dot}com\n",
+       "           * http://github.com/mleibman/slickgrid\n",
+       "           *\n",
+       "           * Distributed under MIT license.\n",
+       "           * All rights reserved.\n",
+       "           *\n",
+       "           * SlickGrid v2.3\n",
+       "           *\n",
+       "           * NOTES:\n",
+       "           *     Cell/row DOM manipulations are done directly bypassing jQuery's DOM manipulation methods.\n",
+       "           *     This increases the speed dramatically, but can only be done safely because there are no event handlers\n",
+       "           *     or data associated with any cell/row DOM nodes.  Cell editors must make sure they implement .destroy()\n",
+       "           *     and do proper cleanup.\n",
+       "           */\n",
+       "      var $=require(443),Slick=require(445),scrollbarDimensions,maxSupportedCssHeight;function SlickGrid(container,data,columns,options){$.fn.drag||require(450),$.fn.drop||require(451);var defaults={alwaysShowVerticalScroll:!1,explicitInitialization:!1,rowHeight:25,defaultColumnWidth:80,enableAddRow:!1,leaveSpaceForNewRows:!1,editable:!1,autoEdit:!0,suppressActiveCellChangeOnEdit:!1,enableCellNavigation:!0,enableColumnReorder:!0,asyncEditorLoading:!1,asyncEditorLoadDelay:100,forceFitColumns:!1,enableAsyncPostRender:!1,asyncPostRenderDelay:50,enableAsyncPostRenderCleanup:!1,asyncPostRenderCleanupDelay:40,autoHeight:!1,editorLock:Slick.GlobalEditorLock,showHeaderRow:!1,headerRowHeight:25,createFooterRow:!1,showFooterRow:!1,footerRowHeight:25,createPreHeaderPanel:!1,showPreHeaderPanel:!1,preHeaderPanelHeight:25,showTopPanel:!1,topPanelHeight:25,formatterFactory:null,editorFactory:null,cellFlashingCssClass:\"flashing\",selectedCellCssClass:\"selected\",multiSelect:!0,enableTextSelectionOnCells:!1,dataItemColumnValueExtractor:null,fullWidthRows:!1,multiColumnSort:!1,numberedMultiColumnSort:!1,tristateMultiColumnSort:!1,sortColNumberInSeparateSpan:!1,defaultFormatter,forceSyncScrolling:!1,addNewRowCssClass:\"new-row\",preserveCopiedSelectionOnPaste:!1,showCellSelection:!0,viewportClass:null,minRowBuffer:3,emulatePagingWhenScrolling:!0,editorCellNavOnLRKeys:!1},columnDefaults={name:\"\",resizable:!0,sortable:!1,minWidth:30,rerenderOnResize:!1,headerCssClass:null,defaultSortAsc:!0,focusable:!0,selectable:!0},th,h,ph,n,cj,page=0,offset=0,vScrollDir=1,initialized=!1,$container,uid=\"slickgrid_\"+Math.round(1e6*Math.random()),self=this,$focusSink,$focusSink2,$headerScroller,$headers,$headerRow,$headerRowScroller,$headerRowSpacer,$footerRow,$footerRowScroller,$footerRowSpacer,$preHeaderPanel,$preHeaderPanelScroller,$preHeaderPanelSpacer,$topPanelScroller,$topPanel,$viewport,$canvas,$style,$boundAncestors,stylesheet,columnCssRulesL,columnCssRulesR,viewportH,viewportW,canvasWidth,viewportHasHScroll,viewportHasVScroll,headerColumnWidthDiff=0,headerColumnHeightDiff=0,cellWidthDiff=0,cellHeightDiff=0,jQueryNewWidthBehaviour=!1,absoluteColumnMinWidth,tabbingDirection=1,activePosX,activeRow,activeCell,activeCellNode=null,currentEditor=null,serializedEditorValue,editController,rowsCache={},renderedRows=0,numVisibleRows,prevScrollTop=0,scrollTop=0,lastRenderedScrollTop=0,lastRenderedScrollLeft=0,prevScrollLeft=0,scrollLeft=0,selectionModel,selectedRows=[],plugins=[],cellCssClasses={},columnsById={},sortColumns=[],columnPosLeft=[],columnPosRight=[],pagingActive=!1,pagingIsLastPage=!1,scrollThrottle=ActionThrottle(render,50),h_editorLoader=null,h_render=null,h_postrender=null,h_postrenderCleanup=null,postProcessedRows={},postProcessToRow=null,postProcessFromRow=null,postProcessedCleanupQueue=[],postProcessgroupId=0,counter_rows_rendered=0,counter_rows_removed=0,rowNodeFromLastMouseWheelEvent,zombieRowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent,cssShow={position:\"absolute\",visibility:\"hidden\",display:\"block\"},$hiddenParents,oldProps=[],columnResizeDragging=!1;function init(){if(($container=container instanceof $?container:$(container)).length<1)throw new Error(\"SlickGrid requires a valid container, \"+container+\" does not exist in the DOM.\");cacheCssForHiddenInit(),maxSupportedCssHeight=maxSupportedCssHeight||getMaxSupportedCssHeight(),options=$.extend({},defaults,options),validateAndEnforceOptions(),columnDefaults.width=options.defaultColumnWidth,columnsById={};for(var e=0;e<columns.length;e++){var o=columns[e]=$.extend({},columnDefaults,columns[e]);columnsById[o.id]=e,o.minWidth&&o.width<o.minWidth&&(o.width=o.minWidth),o.maxWidth&&o.width>o.maxWidth&&(o.width=o.maxWidth)}if(options.enableColumnReorder&&!$.fn.sortable)throw new Error(\"SlickGrid's 'enableColumnReorder = true' option requires jquery-ui.sortable module to be loaded\");editController={commitCurrentEdit,cancelCurrentEdit},$container.empty().css(\"overflow\",\"hidden\").css(\"outline\",0).addClass(uid).addClass(\"ui-widget\"),/relative|absolute|fixed/.test($container.css(\"position\"))||$container.css(\"position\",\"relative\"),$focusSink=$(\"<div tabIndex='0' hideFocus style='position:fixed;width:0;height:0;top:0;left:0;outline:0;'></div>\").appendTo($container),options.createPreHeaderPanel&&($preHeaderPanelScroller=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($container),$preHeaderPanel=$(\"<div />\").appendTo($preHeaderPanelScroller),$preHeaderPanelSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScroller),options.showPreHeaderPanel||$preHeaderPanelScroller.hide()),$headerScroller=$(\"<div class='slick-header ui-state-default' />\").appendTo($container),$headers=$(\"<div class='slick-header-columns' style='left:-1000px' />\").appendTo($headerScroller),$headerRowScroller=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($container),$headerRow=$(\"<div class='slick-headerrow-columns' />\").appendTo($headerRowScroller),$headerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScroller),$topPanelScroller=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($container),$topPanel=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScroller),options.showTopPanel||$topPanelScroller.hide(),options.showHeaderRow||$headerRowScroller.hide(),($viewport=$(\"<div class='slick-viewport' style='width:100%;overflow:auto;outline:0;position:relative;;'>\").appendTo($container)).css(\"overflow-y\",options.alwaysShowVerticalScroll?\"scroll\":options.autoHeight?\"hidden\":\"auto\"),$viewport.css(\"overflow-x\",options.forceFitColumns?\"hidden\":\"auto\"),options.viewportClass&&$viewport.toggleClass(options.viewportClass,!0),$canvas=$(\"<div class='grid-canvas' />\").appendTo($viewport),scrollbarDimensions=scrollbarDimensions||measureScrollbar(),$preHeaderPanelSpacer&&$preHeaderPanelSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headers.width(getHeadersWidth()),$headerRowSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),options.createFooterRow&&($footerRowScroller=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($container),$footerRow=$(\"<div class='slick-footerrow-columns' />\").appendTo($footerRowScroller),$footerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScroller),options.showFooterRow||$footerRowScroller.hide()),$focusSink2=$focusSink.clone().appendTo($container),options.explicitInitialization||finishInitialization()}function finishInitialization(){initialized||(initialized=!0,viewportW=parseFloat($.css($container[0],\"width\",!0)),measureCellPaddingAndBorder(),disableSelection($headers),options.enableTextSelectionOnCells||$viewport.on(\"selectstart.ui\",(function(e){return $(e.target).is(\"input,textarea\")})),updateColumnCaches(),createColumnHeaders(),setupColumnSort(),createCssRules(),resizeCanvas(),bindAncestorScrollEvents(),$container.on(\"resize.slickgrid\",resizeCanvas),$viewport.on(\"scroll\",handleScroll),$headerScroller.on(\"contextmenu\",handleHeaderContextMenu).on(\"click\",handleHeaderClick).on(\"mouseenter\",\".slick-header-column\",handleHeaderMouseEnter).on(\"mouseleave\",\".slick-header-column\",handleHeaderMouseLeave),$headerRowScroller.on(\"scroll\",handleHeaderRowScroll),options.createFooterRow&&$footerRowScroller.on(\"scroll\",handleFooterRowScroll),options.createPreHeaderPanel&&$preHeaderPanelScroller.on(\"scroll\",handlePreHeaderPanelScroll),$focusSink.add($focusSink2).on(\"keydown\",handleKeyDown),$canvas.on(\"keydown\",handleKeyDown).on(\"click\",handleClick).on(\"dblclick\",handleDblClick).on(\"contextmenu\",handleContextMenu).on(\"draginit\",handleDragInit).on(\"dragstart\",{distance:3},handleDragStart).on(\"drag\",handleDrag).on(\"dragend\",handleDragEnd).on(\"mouseenter\",\".slick-cell\",handleMouseEnter).on(\"mouseleave\",\".slick-cell\",handleMouseLeave),navigator.userAgent.toLowerCase().match(/webkit/)&&navigator.userAgent.toLowerCase().match(/macintosh/)&&$canvas.on(\"mousewheel\",handleMouseWheel),restoreCssFromHiddenInit())}function cacheCssForHiddenInit(){($hiddenParents=$container.parents().addBack().not(\":visible\")).each((function(){var e={};for(var o in cssShow)e[o]=this.style[o],this.style[o]=cssShow[o];oldProps.push(e)}))}function restoreCssFromHiddenInit(){$hiddenParents.each((function(e){var o=oldProps[e];for(var t in cssShow)this.style[t]=o[t]}))}function registerPlugin(e){plugins.unshift(e),e.init(self)}function unregisterPlugin(e){for(var o=plugins.length;o>=0;o--)if(plugins[o]===e){plugins[o].destroy&&plugins[o].destroy(),plugins.splice(o,1);break}}function setSelectionModel(e){selectionModel&&(selectionModel.onSelectedRangesChanged.unsubscribe(handleSelectedRangesChanged),selectionModel.destroy&&selectionModel.destroy()),(selectionModel=e)&&(selectionModel.init(self),selectionModel.onSelectedRangesChanged.subscribe(handleSelectedRangesChanged))}function getSelectionModel(){return selectionModel}function getCanvasNode(){return $canvas[0]}function measureScrollbar(){var e=$('<div class=\"'+$viewport.className+'\" style=\"position:absolute; top:-10000px; left:-10000px; overflow:auto; width:100px; height:100px;\"></div>').appendTo($viewport),o=$('<div style=\"width:200px; height:200px; overflow:auto;\"></div>').appendTo(e),t={width:e[0].offsetWidth-e[0].clientWidth,height:e[0].offsetHeight-e[0].clientHeight};return o.remove(),e.remove(),t}function getColumnTotalWidth(e){for(var o=0,t=0,l=columns.length;t<l;t++){o+=columns[t].width}return e&&(o+=scrollbarDimensions.width),o}function getHeadersWidth(){var e=getColumnTotalWidth(!options.autoHeight);return Math.max(e,viewportW)+1e3}function getCanvasWidth(){for(var e=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,o=0,t=columns.length;t--;)o+=columns[t].width;return options.fullWidthRows?Math.max(o,e):o}function updateCanvasWidth(e){var o=canvasWidth;(canvasWidth=getCanvasWidth())!=o&&($canvas.width(canvasWidth),$headerRow.width(canvasWidth),options.createFooterRow&&$footerRow.width(canvasWidth),options.createPreHeaderPanel&&$preHeaderPanel.width(canvasWidth),$headers.width(getHeadersWidth()),viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width);var t=canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0);$headerRowSpacer.width(t),options.createFooterRow&&$footerRowSpacer.width(t),options.createPreHeaderPanel&&$preHeaderPanelSpacer.width(t),(canvasWidth!=o||e)&&applyColumnWidths()}function disableSelection(e){e&&e.jquery&&e.attr(\"unselectable\",\"on\").css(\"MozUserSelect\",\"none\").on(\"selectstart.ui\",(function(){return!1}))}function getMaxSupportedCssHeight(){for(var e=1e6,o=navigator.userAgent.toLowerCase().match(/firefox/)?6e6:1e9,t=$(\"<div style='display:none' />\").appendTo(document.body);;){var l=2*e;if(t.css(\"height\",l),l>o||t.height()!==l)break;e=l}return t.remove(),e}function getUID(){return uid}function getHeaderColumnWidthDiff(){return headerColumnWidthDiff}function getScrollbarDimensions(){return scrollbarDimensions}function bindAncestorScrollEvents(){for(var e=$canvas[0];(e=e.parentNode)!=document.body&&null!=e;)if(e==$viewport[0]||e.scrollWidth!=e.clientWidth||e.scrollHeight!=e.clientHeight){var o=$(e);$boundAncestors=$boundAncestors?$boundAncestors.add(o):o,o.on(\"scroll.\"+uid,handleActiveCellPositionChange)}}function unbindAncestorScrollEvents(){$boundAncestors&&($boundAncestors.off(\"scroll.\"+uid),$boundAncestors=null)}function updateColumnHeader(e,o,t){if(initialized){var l=getColumnIndex(e);if(null!=l){var n=columns[l],r=$headers.children().eq(l);r&&(void 0!==o&&(columns[l].name=o),void 0!==t&&(columns[l].toolTip=t),trigger(self.onBeforeHeaderCellDestroy,{node:r[0],column:n,grid:self}),r.attr(\"title\",t||\"\").children().eq(0).html(o),trigger(self.onHeaderCellRendered,{node:r[0],column:n,grid:self}))}}}function getHeader(){return $headers[0]}function getHeaderColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headers.children().eq(o);return t&&t[0]}function getHeaderRow(){return $headerRow[0]}function getFooterRow(){return $footerRow[0]}function getPreHeaderPanel(){return $preHeaderPanel[0]}function getHeaderRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headerRow.children().eq(o);return t&&t[0]}function getFooterRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$footerRow.children().eq(o);return t&&t[0]}function createColumnHeaders(){function e(){$(this).addClass(\"ui-state-hover\")}function o(){$(this).removeClass(\"ui-state-hover\")}$headers.find(\".slick-header-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderCellDestroy,{node:this,column:e,grid:self})})),$headers.empty(),$headers.width(getHeadersWidth()),$headerRow.find(\".slick-headerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderRowCellDestroy,{node:this,column:e,grid:self})})),$headerRow.empty(),options.createFooterRow&&($footerRow.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e})})),$footerRow.empty());for(var t=0;t<columns.length;t++){var l=columns[t],n=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+l.name+\"</span>\").width(l.width-headerColumnWidthDiff).attr(\"id\",\"\"+uid+l.id).attr(\"title\",l.toolTip||\"\").data(\"column\",l).addClass(l.headerCssClass||\"\").appendTo($headers);if((options.enableColumnReorder||l.sortable)&&n.on(\"mouseenter\",e).on(\"mouseleave\",o),l.sortable&&(n.addClass(\"slick-header-sortable\"),n.append(\"<span class='slick-sort-indicator\"+(options.numberedMultiColumnSort&&!options.sortColNumberInSeparateSpan?\" slick-sort-indicator-numbered\":\"\")+\"' />\"),options.numberedMultiColumnSort&&options.sortColNumberInSeparateSpan&&n.append(\"<span class='slick-sort-indicator-numbered' />\")),trigger(self.onHeaderCellRendered,{node:n[0],column:l,grid:self}),options.showHeaderRow){var r=$(\"<div class='ui-state-default slick-headerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($headerRow);trigger(self.onHeaderRowCellRendered,{node:r[0],column:l,grid:self})}if(options.createFooterRow&&options.showFooterRow){var i=$(\"<div class='ui-state-default slick-footerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($footerRow);trigger(self.onFooterRowCellRendered,{node:i[0],column:l})}}setSortColumns(sortColumns),setupColumnResize(),options.enableColumnReorder&&(\"function\"==typeof options.enableColumnReorder?options.enableColumnReorder(self,$headers,headerColumnWidthDiff,setColumns,setupColumnResize,columns,getColumnIndex,uid,trigger):setupColumnReorder())}function setupColumnSort(){$headers.click((function(e){if(!columnResizeDragging&&(e.metaKey=e.metaKey||e.ctrlKey,!$(e.target).hasClass(\"slick-resizable-handle\"))){var o=$(e.target).closest(\".slick-header-column\");if(o.length){var t=o.data(\"column\");if(t.sortable){if(!getEditorLock().commitCurrentEdit())return;for(var l=null,n=0;n<sortColumns.length;n++)if(sortColumns[n].columnId==t.id){(l=sortColumns[n]).sortAsc=!l.sortAsc;break}var r=!!l;options.tristateMultiColumnSort?(l||(l={columnId:t.id,sortAsc:t.defaultSortAsc}),r&&l.sortAsc&&(sortColumns.splice(n,1),l=null),options.multiColumnSort||(sortColumns=[]),!l||r&&options.multiColumnSort||sortColumns.push(l)):e.metaKey&&options.multiColumnSort?l&&sortColumns.splice(n,1):((e.shiftKey||e.metaKey)&&options.multiColumnSort||(sortColumns=[]),l?0==sortColumns.length&&sortColumns.push(l):(l={columnId:t.id,sortAsc:t.defaultSortAsc},sortColumns.push(l))),setSortColumns(sortColumns),options.multiColumnSort?trigger(self.onSort,{multiColumnSort:!0,sortCols:$.map(sortColumns,(function(e){return{sortCol:columns[getColumnIndex(e.columnId)],sortAsc:e.sortAsc}}))},e):trigger(self.onSort,{multiColumnSort:!1,sortCol:sortColumns.length>0?t:null,sortAsc:!(sortColumns.length>0)||sortColumns[0].sortAsc},e)}}}}))}function setupColumnReorder(){$headers.filter(\":ui-sortable\").sortable(\"destroy\"),$headers.sortable({containment:\"parent\",distance:3,axis:\"x\",cursor:\"default\",tolerance:\"intersection\",helper:\"clone\",placeholder:\"slick-sortable-placeholder ui-state-default slick-header-column\",start:function(e,o){o.placeholder.width(o.helper.outerWidth()-headerColumnWidthDiff),$(o.helper).addClass(\"slick-header-column-active\")},beforeStop:function(e,o){$(o.helper).removeClass(\"slick-header-column-active\")},stop:function(e){if(getEditorLock().commitCurrentEdit()){for(var o=$headers.sortable(\"toArray\"),t=[],l=0;l<o.length;l++)t.push(columns[getColumnIndex(o[l].replace(uid,\"\"))]);setColumns(t),trigger(self.onColumnsReordered,{}),e.stopPropagation(),setupColumnResize()}else $(this).sortable(\"cancel\")}})}function setupColumnResize(){var e,o,t,l,n,r,i,s;(l=$headers.children()).find(\".slick-resizable-handle\").remove(),l.each((function(e,o){e>=columns.length||columns[e].resizable&&(void 0===i&&(i=e),s=e)})),void 0!==i&&l.each((function(a,c){a>=columns.length||a<i||options.forceFitColumns&&a>=s||($(c),$(\"<div class='slick-resizable-handle' />\").appendTo(c).on(\"dragstart\",(function(i,s){if(!getEditorLock().commitCurrentEdit())return!1;t=i.pageX,$(this).parent().addClass(\"slick-header-column-active\");var c=null,d=null;if(l.each((function(e,o){e>=columns.length||(columns[e].previousWidth=$(o).outerWidth())})),options.forceFitColumns)for(c=0,d=0,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(null!==d&&(o.maxWidth?d+=o.maxWidth-o.previousWidth:d=null),c+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));var u=0,h=0;for(e=0;e<=a;e++)(o=columns[e]).resizable&&(null!==h&&(o.maxWidth?h+=o.maxWidth-o.previousWidth:h=null),u+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));null===c&&(c=1e5),null===u&&(u=1e5),null===d&&(d=1e5),null===h&&(h=1e5),r=t+Math.min(c,h),n=t-Math.min(u,d)})).on(\"drag\",(function(l,i){columnResizeDragging=!0;var s,c,d=Math.min(r,Math.max(n,l.pageX))-t;if(d<0){for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0))}else{for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0))}applyColumnHeaderWidths(),options.syncColumnCellResize&&applyColumnWidths()})).on(\"dragend\",(function(t,n){var r;for($(this).parent().removeClass(\"slick-header-column-active\"),e=0;e<columns.length;e++)o=columns[e],r=$(l[e]).outerWidth(),o.previousWidth!==r&&o.rerenderOnResize&&invalidateAllRows();updateCanvasWidth(!0),render(),trigger(self.onColumnsResized,{}),setTimeout((function(){columnResizeDragging=!1}),300)})))}))}function getVBoxDelta(e){var o=0;return $.each([\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],(function(t,l){o+=parseFloat(e.css(l))||0})),o}function measureCellPaddingAndBorder(){var e,o=[\"borderLeftWidth\",\"borderRightWidth\",\"paddingLeft\",\"paddingRight\"],t=[\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],l=$.fn.jquery.split(\".\");jQueryNewWidthBehaviour=1==l[0]&&l[1]>=8||l[0]>=2,e=$(\"<div class='ui-state-default slick-header-column' style='visibility:hidden'>-</div>\").appendTo($headers),headerColumnWidthDiff=headerColumnHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){headerColumnWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){headerColumnHeightDiff+=parseFloat(e.css(t))||0}))),e.remove();var n=$(\"<div class='slick-row' />\").appendTo($canvas);e=$(\"<div class='slick-cell' id='' style='visibility:hidden'>-</div>\").appendTo(n),cellWidthDiff=cellHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){cellWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){cellHeightDiff+=parseFloat(e.css(t))||0}))),n.remove(),absoluteColumnMinWidth=Math.max(headerColumnWidthDiff,cellWidthDiff)}function createCssRules(){$style=$(\"<style type='text/css' rel='stylesheet' />\").appendTo($(\"head\"));for(var e=options.rowHeight-cellHeightDiff,o=[\".\"+uid+\" .slick-header-column { left: 1000px; }\",\".\"+uid+\" .slick-top-panel { height:\"+options.topPanelHeight+\"px; }\",\".\"+uid+\" .slick-preheader-panel { height:\"+options.preHeaderPanelHeight+\"px; }\",\".\"+uid+\" .slick-headerrow-columns { height:\"+options.headerRowHeight+\"px; }\",\".\"+uid+\" .slick-footerrow-columns { height:\"+options.footerRowHeight+\"px; }\",\".\"+uid+\" .slick-cell { height:\"+e+\"px; }\",\".\"+uid+\" .slick-row { height:\"+options.rowHeight+\"px; }\"],t=0;t<columns.length;t++)o.push(\".\"+uid+\" .l\"+t+\" { }\"),o.push(\".\"+uid+\" .r\"+t+\" { }\");$style[0].styleSheet?$style[0].styleSheet.cssText=o.join(\" \"):$style[0].appendChild(document.createTextNode(o.join(\" \")))}function getColumnCssRules(e){var o;if(!stylesheet){var t=document.styleSheets;for(o=0;o<t.length;o++)if((t[o].ownerNode||t[o].owningElement)==$style[0]){stylesheet=t[o];break}if(!stylesheet)throw new Error(\"Cannot find stylesheet.\");columnCssRulesL=[],columnCssRulesR=[];var l,n,r=stylesheet.cssRules||stylesheet.rules;for(o=0;o<r.length;o++){var i=r[o].selectorText;(l=/\\.l\\d+/.exec(i))?(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesL[n]=r[o]):(l=/\\.r\\d+/.exec(i))&&(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesR[n]=r[o])}}return{left:columnCssRulesL[e],right:columnCssRulesR[e]}}function removeCssRules(){$style.remove(),stylesheet=null}function destroy(){getEditorLock().cancelCurrentEdit(),trigger(self.onBeforeDestroy,{});for(var e=plugins.length;e--;)unregisterPlugin(plugins[e]);options.enableColumnReorder&&$headers.filter(\":ui-sortable\").sortable(\"destroy\"),unbindAncestorScrollEvents(),$container.off(\".slickgrid\"),removeCssRules(),$canvas.off(\"draginit dragstart dragend drag\"),$container.empty().removeClass(uid)}function trigger(e,o,t){return t=t||new Slick.EventData,(o=o||{}).grid=self,e.notify(o,t,self)}function getEditorLock(){return options.editorLock}function getEditController(){return editController}function getColumnIndex(e){return columnsById[e]}function autosizeColumns(){var e,o,t,l=[],n=0,r=0,i=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW;for(e=0;e<columns.length;e++)o=columns[e],l.push(o.width),r+=o.width,o.resizable&&(n+=o.width-Math.max(o.minWidth,absoluteColumnMinWidth));for(t=r;r>i&&n;){var s=(r-i)/n;for(e=0;e<columns.length&&r>i;e++){o=columns[e];var a=l[e];if(!(!o.resizable||a<=o.minWidth||a<=absoluteColumnMinWidth)){var c=Math.max(o.minWidth,absoluteColumnMinWidth),d=Math.floor(s*(a-c))||1;r-=d=Math.min(d,a-c),n-=d,l[e]-=d}}if(t<=r)break;t=r}for(t=r;r<i;){var u=i/r;for(e=0;e<columns.length&&r<i;e++){o=columns[e];var h,p=l[e];r+=h=!o.resizable||o.maxWidth<=p?0:Math.min(Math.floor(u*p)-p,o.maxWidth-p||1e6)||1,l[e]+=r<=i?h:0}if(t>=r)break;t=r}var g=!1;for(e=0;e<columns.length;e++)columns[e].rerenderOnResize&&columns[e].width!=l[e]&&(g=!0),columns[e].width=l[e];applyColumnHeaderWidths(),updateCanvasWidth(!0),trigger(self.onAutosizeColumns,{columns}),g&&(invalidateAllRows(),render())}function applyColumnHeaderWidths(){if(initialized){for(var e,o=0,t=$headers.children(),l=columns.length;o<l;o++)e=$(t[o]),jQueryNewWidthBehaviour?e.outerWidth()!==columns[o].width&&e.outerWidth(columns[o].width):e.width()!==columns[o].width-headerColumnWidthDiff&&e.width(columns[o].width-headerColumnWidthDiff);updateColumnCaches()}}function applyColumnWidths(){for(var e,o,t=0,l=0;l<columns.length;l++)e=columns[l].width,(o=getColumnCssRules(l)).left.style.left=t+\"px\",o.right.style.right=canvasWidth-t-e+\"px\",t+=columns[l].width}function setSortColumn(e,o){setSortColumns([{columnId:e,sortAsc:o}])}function setSortColumns(e){sortColumns=e;var o=options.numberedMultiColumnSort&&sortColumns.length>1,t=$headers.children();t.removeClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").removeClass(\"slick-sort-indicator-asc slick-sort-indicator-desc\"),t.find(\".slick-sort-indicator-numbered\").text(\"\"),$.each(sortColumns,(function(e,l){null==l.sortAsc&&(l.sortAsc=!0);var n=getColumnIndex(l.columnId);null!=n&&(t.eq(n).addClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").addClass(l.sortAsc?\"slick-sort-indicator-asc\":\"slick-sort-indicator-desc\"),o&&t.eq(n).find(\".slick-sort-indicator-numbered\").text(e+1))}))}function getSortColumns(){return sortColumns}function handleSelectedRangesChanged(e,o){selectedRows=[];for(var t={},l=0;l<o.length;l++)for(var n=o[l].fromRow;n<=o[l].toRow;n++){t[n]||(selectedRows.push(n),t[n]={});for(var r=o[l].fromCell;r<=o[l].toCell;r++)canCellBeSelected(n,r)&&(t[n][columns[r].id]=options.selectedCellCssClass)}setCellCssStyles(options.selectedCellCssClass,t),trigger(self.onSelectedRowsChanged,{rows:getSelectedRows()},e)}function getColumns(){return columns}function updateColumnCaches(){columnPosLeft=[],columnPosRight=[];for(var e=0,o=0,t=columns.length;o<t;o++)columnPosLeft[o]=e,columnPosRight[o]=e+columns[o].width,e+=columns[o].width}function setColumns(e){columns=e,columnsById={};for(var o=0;o<columns.length;o++){var t=columns[o]=$.extend({},columnDefaults,columns[o]);columnsById[t.id]=o,t.minWidth&&t.width<t.minWidth&&(t.width=t.minWidth),t.maxWidth&&t.width>t.maxWidth&&(t.width=t.maxWidth)}updateColumnCaches(),initialized&&(invalidateAllRows(),createColumnHeaders(),removeCssRules(),createCssRules(),resizeCanvas(),applyColumnWidths(),handleScroll())}function getOptions(){return options}function setOptions(e,o){getEditorLock().commitCurrentEdit()&&(makeActiveCellNormal(),options.enableAddRow!==e.enableAddRow&&invalidateRow(getDataLength()),options=$.extend(options,e),validateAndEnforceOptions(),$viewport.css(\"overflow-y\",options.autoHeight?\"hidden\":\"auto\"),o||render())}function validateAndEnforceOptions(){options.autoHeight&&(options.leaveSpaceForNewRows=!1)}function setData(e,o){data=e,invalidateAllRows(),updateRowCount(),o&&scrollTo(0)}function getData(){return data}function getDataLength(){return data.getLength?data.getLength():data.length}function getDataLengthIncludingAddNew(){return getDataLength()+(options.enableAddRow&&(!pagingActive||pagingIsLastPage)?1:0)}function getDataItem(e){return data.getItem?data.getItem(e):data[e]}function getTopPanel(){return $topPanel[0]}function setTopPanelVisibility(e){options.showTopPanel!=e&&(options.showTopPanel=e,e?$topPanelScroller.slideDown(\"fast\",resizeCanvas):$topPanelScroller.slideUp(\"fast\",resizeCanvas))}function setHeaderRowVisibility(e){options.showHeaderRow!=e&&(options.showHeaderRow=e,e?$headerRowScroller.slideDown(\"fast\",resizeCanvas):$headerRowScroller.slideUp(\"fast\",resizeCanvas))}function setFooterRowVisibility(e){options.showFooterRow!=e&&(options.showFooterRow=e,e?$footerRowScroller.slideDown(\"fast\",resizeCanvas):$footerRowScroller.slideUp(\"fast\",resizeCanvas))}function setPreHeaderPanelVisibility(e){options.showPreHeaderPanel!=e&&(options.showPreHeaderPanel=e,e?$preHeaderPanelScroller.slideDown(\"fast\",resizeCanvas):$preHeaderPanelScroller.slideUp(\"fast\",resizeCanvas))}function getContainerNode(){return $container.get(0)}function getRowTop(e){return options.rowHeight*e-offset}function getRowFromPosition(e){return Math.floor((e+offset)/options.rowHeight)}function scrollTo(e){e=Math.max(e,0),e=Math.min(e,th-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0));var o=offset;page=Math.min(n-1,Math.floor(e/ph));var t=e-(offset=Math.round(page*cj));offset!=o&&(cleanupRows(getVisibleRange(t)),updateRowPositions());prevScrollTop!=t&&(vScrollDir=prevScrollTop+o<t+offset?1:-1,$viewport[0].scrollTop=lastRenderedScrollTop=scrollTop=prevScrollTop=t,trigger(self.onViewportChanged,{}))}function defaultFormatter(e,o,t,l,n,r){return null==t?\"\":(t+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}function getFormatter(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e),l=t&&t.columns&&(t.columns[o.id]||t.columns[getColumnIndex(o.id)]);return l&&l.formatter||t&&t.formatter||o.formatter||options.formatterFactory&&options.formatterFactory.getFormatter(o)||options.defaultFormatter}function getEditor(e,o){var t=columns[o],l=data.getItemMetadata&&data.getItemMetadata(e),n=l&&l.columns;return n&&n[t.id]&&void 0!==n[t.id].editor?n[t.id].editor:n&&n[o]&&void 0!==n[o].editor?n[o].editor:t.editor||options.editorFactory&&options.editorFactory.getEditor(t)}function getDataItemValueForColumn(e,o){return options.dataItemColumnValueExtractor?options.dataItemColumnValueExtractor(e,o):e[o.field]}function appendRowHtml(e,o,t,l){var n=getDataItem(o),r=\"slick-row\"+(o<l&&!n?\" loading\":\"\")+(o===activeRow&&options.showCellSelection?\" active\":\"\")+(o%2==1?\" odd\":\" even\");n||(r+=\" \"+options.addNewRowCssClass);var i,s,a=data.getItemMetadata&&data.getItemMetadata(o);a&&a.cssClasses&&(r+=\" \"+a.cssClasses),e.push(\"<div class='ui-widget-content \"+r+\"' style='top:\"+getRowTop(o)+\"px'>\");for(var c=0,d=columns.length;c<d;c++){if(s=columns[c],i=1,a&&a.columns){var u=a.columns[s.id]||a.columns[c];\"*\"===(i=u&&u.colspan||1)&&(i=d-c)}if(columnPosRight[Math.min(d-1,c+i-1)]>t.leftPx){if(columnPosLeft[c]>t.rightPx)break;appendCellHtml(e,o,c,i,n)}i>1&&(c+=i-1)}e.push(\"</div>\")}function appendCellHtml(e,o,t,l,n){var r=columns[t],i=\"slick-cell l\"+t+\" r\"+Math.min(columns.length-1,t+l-1)+(r.cssClass?\" \"+r.cssClass:\"\");for(var s in o===activeRow&&t===activeCell&&options.showCellSelection&&(i+=\" active\"),cellCssClasses)cellCssClasses[s][o]&&cellCssClasses[s][o][r.id]&&(i+=\" \"+cellCssClasses[s][o][r.id]);var a=null,c=\"\";n&&(a=getDataItemValueForColumn(n,r),null==(c=getFormatter(o,r)(o,t,a,r,n,self))&&(c=\"\"));var d=trigger(self.onBeforeAppendCell,{row:o,cell:t,value:a,dataContext:n})||\"\";d+=c&&c.addClasses?(d?\" \":\"\")+c.addClasses:\"\",e.push(\"<div class='\"+i+(d?\" \"+d:\"\")+\"'>\"),n&&e.push(\"[object Object]\"!==Object.prototype.toString.call(c)?c:c.text),e.push(\"</div>\"),rowsCache[o].cellRenderQueue.push(t),rowsCache[o].cellColSpans[t]=l}function cleanupRows(e){for(var o in rowsCache)(o=parseInt(o,10))!==activeRow&&(o<e.top||o>e.bottom)&&removeRowFromCache(o);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function invalidate(){updateRowCount(),invalidateAllRows(),render()}function invalidateAllRows(){for(var e in currentEditor&&makeActiveCellNormal(),rowsCache)removeRowFromCache(e);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function queuePostProcessedRowForCleanup(e,o,t){for(var l in postProcessgroupId++,o)o.hasOwnProperty(l)&&postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e.cellNodesByColumnIdx[0|l],columnIdx:0|l,rowIdx:t});postProcessedCleanupQueue.push({actionType:\"R\",groupId:postProcessgroupId,node:e.rowNode}),$(e.rowNode).detach()}function queuePostProcessedCellForCleanup(e,o,t){postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e,columnIdx:o,rowIdx:t}),$(e).detach()}function removeRowFromCache(e){var o=rowsCache[e];o&&(o.rowNode&&(rowNodeFromLastMouseWheelEvent===o.rowNode?(o.rowNode.style.display=\"none\",zombieRowNodeFromLastMouseWheelEvent=rowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent=o,zombieRowPostProcessedFromLastMouseWheelEvent=postProcessedRows[e]):options.enableAsyncPostRenderCleanup&&postProcessedRows[e]?queuePostProcessedRowForCleanup(o,postProcessedRows[e],e):$canvas[0].removeChild(o.rowNode)),delete rowsCache[e],delete postProcessedRows[e],renderedRows--,counter_rows_removed++)}function invalidateRows(e){var o,t;if(e&&e.length){for(vScrollDir=0,t=e.length,o=0;o<t;o++)currentEditor&&activeRow===e[o]&&makeActiveCellNormal(),rowsCache[e[o]]&&removeRowFromCache(e[o]);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}}function invalidateRow(e){(e||0===e)&&invalidateRows([e])}function applyFormatResultToCellNode(e,o,t){null==e&&(e=\"\"),\"[object Object]\"===Object.prototype.toString.call(e)?(o.innerHTML=e.text,e.removeClasses&&!t&&$(o).removeClass(e.removeClasses),e.addClasses&&$(o).addClass(e.addClasses)):o.innerHTML=e}function updateCell(e,o){var t=getCellNode(e,o);if(t){var l=columns[o],n=getDataItem(e);if(currentEditor&&activeRow===e&&activeCell===o)currentEditor.loadValue(n);else applyFormatResultToCellNode(n?getFormatter(e,l)(e,o,getDataItemValueForColumn(n,l),l,n,self):\"\",t),invalidatePostProcessingResults(e)}}function updateRow(e){var o=rowsCache[e];if(o){ensureCellNodesInRowsCache(e);var t=getDataItem(e);for(var l in o.cellNodesByColumnIdx)if(o.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=o.cellNodesByColumnIdx[l];e===activeRow&&l===activeCell&&currentEditor?currentEditor.loadValue(t):t?applyFormatResultToCellNode(getFormatter(e,n)(e,l,getDataItemValueForColumn(t,n),n,t,self),r):r.innerHTML=\"\"}invalidatePostProcessingResults(e)}}function getViewportHeight(){return parseFloat($.css($container[0],\"height\",!0))-parseFloat($.css($container[0],\"paddingTop\",!0))-parseFloat($.css($container[0],\"paddingBottom\",!0))-parseFloat($.css($headerScroller[0],\"height\"))-getVBoxDelta($headerScroller)-(options.showTopPanel?options.topPanelHeight+getVBoxDelta($topPanelScroller):0)-(options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0)-(options.createFooterRow&&options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0)-(options.createPreHeaderPanel&&options.showPreHeaderPanel?options.preHeaderPanelHeight+getVBoxDelta($preHeaderPanelScroller):0)}function resizeCanvas(){initialized&&(viewportH=options.autoHeight?options.rowHeight*getDataLengthIncludingAddNew():getViewportHeight(),numVisibleRows=Math.ceil(viewportH/options.rowHeight),viewportW=parseFloat($.css($container[0],\"width\",!0)),options.autoHeight||$viewport.height(viewportH),scrollbarDimensions&&scrollbarDimensions.width||(scrollbarDimensions=measureScrollbar()),options.forceFitColumns&&autosizeColumns(),updateRowCount(),handleScroll(),lastRenderedScrollLeft=-1,render())}function updatePagingStatusFromView(e){pagingActive=0!==e.pageSize,pagingIsLastPage=e.pageNum==e.totalPages-1}function updateRowCount(){if(initialized){var e=getDataLength(),o=getDataLengthIncludingAddNew()+(options.leaveSpaceForNewRows?numVisibleRows-1:0),t=viewportHasVScroll;viewportHasVScroll=options.alwaysShowVerticalScroll||!options.autoHeight&&o*options.rowHeight>viewportH,viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width,makeActiveCellNormal();var l=e-1;for(var r in rowsCache)r>l&&removeRowFromCache(r);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup(),activeCellNode&&activeRow>l&&resetActiveCell();var i=h;(th=Math.max(options.rowHeight*o,viewportH-scrollbarDimensions.height))<maxSupportedCssHeight?(h=ph=th,n=1,cj=0):(ph=(h=maxSupportedCssHeight)/100,n=Math.floor(th/ph),cj=(th-h)/(n-1)),h!==i&&($canvas.css(\"height\",h),scrollTop=$viewport[0].scrollTop);var s=scrollTop+offset<=th-viewportH;0==th||0==scrollTop?page=offset=0:scrollTo(s?scrollTop+offset:th-viewportH),h!=i&&options.autoHeight&&resizeCanvas(),options.forceFitColumns&&t!=viewportHasVScroll&&autosizeColumns(),updateCanvasWidth(!1)}}function getVisibleRange(e,o){return null==e&&(e=scrollTop),null==o&&(o=scrollLeft),{top:getRowFromPosition(e),bottom:getRowFromPosition(e+viewportH)+1,leftPx:o,rightPx:o+viewportW}}function getRenderedRange(e,o){var t=getVisibleRange(e,o),l=Math.round(viewportH/options.rowHeight),n=options.minRowBuffer;return-1==vScrollDir?(t.top-=l,t.bottom+=n):1==vScrollDir?(t.top-=n,t.bottom+=l):(t.top-=n,t.bottom+=n),t.top=Math.max(0,t.top),t.bottom=Math.min(getDataLengthIncludingAddNew()-1,t.bottom),t.leftPx-=viewportW,t.rightPx+=viewportW,t.leftPx=Math.max(0,t.leftPx),t.rightPx=Math.min(canvasWidth,t.rightPx),t}function ensureCellNodesInRowsCache(e){var o=rowsCache[e];if(o&&o.cellRenderQueue.length)for(var t=o.rowNode.lastChild;o.cellRenderQueue.length;){var l=o.cellRenderQueue.pop();o.cellNodesByColumnIdx[l]=t,t=t.previousSibling}}function cleanUpCells(e,o){var t,l,n=rowsCache[o],r=[];for(var i in n.cellNodesByColumnIdx)if(n.cellNodesByColumnIdx.hasOwnProperty(i)){i|=0;var s=n.cellColSpans[i];(columnPosLeft[i]>e.rightPx||columnPosRight[Math.min(columns.length-1,i+s-1)]<e.leftPx)&&(o==activeRow&&i==activeCell||r.push(i))}for(postProcessgroupId++;null!=(t=r.pop());)l=n.cellNodesByColumnIdx[t],options.enableAsyncPostRenderCleanup&&postProcessedRows[o]&&postProcessedRows[o][t]?queuePostProcessedCellForCleanup(l,t,o):n.rowNode.removeChild(l),delete n.cellColSpans[t],delete n.cellNodesByColumnIdx[t],postProcessedRows[o]&&delete postProcessedRows[o][t]}function cleanUpAndRenderCells(e){for(var o,t,l,n=[],r=[],i=e.top,s=e.bottom;i<=s;i++)if(o=rowsCache[i]){ensureCellNodesInRowsCache(i),cleanUpCells(e,i),t=0;var a=data.getItemMetadata&&data.getItemMetadata(i);a=a&&a.columns;for(var c=getDataItem(i),d=0,u=columns.length;d<u&&!(columnPosLeft[d]>e.rightPx);d++)if(null==(l=o.cellColSpans[d])){if(l=1,a){var h=a[columns[d].id]||a[d];\"*\"===(l=h&&h.colspan||1)&&(l=u-d)}columnPosRight[Math.min(u-1,d+l-1)]>e.leftPx&&(appendCellHtml(n,i,d,l,c),t++),d+=l>1?l-1:0}else d+=l>1?l-1:0;t&&(t,r.push(i))}if(n.length){var p,g,m=document.createElement(\"div\");for(m.innerHTML=n.join(\"\");null!=(p=r.pop());){var v;for(o=rowsCache[p];null!=(v=o.cellRenderQueue.pop());)g=m.lastChild,o.rowNode.appendChild(g),o.cellNodesByColumnIdx[v]=g}}}function renderRows(e){for(var o=$canvas[0],t=[],l=[],n=!1,r=getDataLength(),i=e.top,s=e.bottom;i<=s;i++)rowsCache[i]||(renderedRows++,l.push(i),rowsCache[i]={rowNode:null,cellColSpans:[],cellNodesByColumnIdx:[],cellRenderQueue:[]},appendRowHtml(t,i,e,r),activeCellNode&&activeRow===i&&(n=!0),counter_rows_rendered++);if(l.length){var a=document.createElement(\"div\");a.innerHTML=t.join(\"\");for(i=0,s=l.length;i<s;i++)rowsCache[l[i]].rowNode=o.appendChild(a.firstChild);n&&(activeCellNode=getCellNode(activeRow,activeCell))}}function startPostProcessing(){options.enableAsyncPostRender&&(clearTimeout(h_postrender),h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}function startPostProcessingCleanup(){options.enableAsyncPostRenderCleanup&&(clearTimeout(h_postrenderCleanup),h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay))}function invalidatePostProcessingResults(e){for(var o in postProcessedRows[e])postProcessedRows[e].hasOwnProperty(o)&&(postProcessedRows[e][o]=\"C\");postProcessFromRow=Math.min(postProcessFromRow,e),postProcessToRow=Math.max(postProcessToRow,e),startPostProcessing()}function updateRowPositions(){for(var e in rowsCache)rowsCache[e].rowNode.style.top=getRowTop(e)+\"px\"}function render(){if(initialized){scrollThrottle.dequeue();var e=getVisibleRange(),o=getRenderedRange();cleanupRows(o),lastRenderedScrollLeft!=scrollLeft&&cleanUpAndRenderCells(o),renderRows(o),postProcessFromRow=e.top,postProcessToRow=Math.min(getDataLengthIncludingAddNew()-1,e.bottom),startPostProcessing(),lastRenderedScrollTop=scrollTop,lastRenderedScrollLeft=scrollLeft,h_render=null,trigger(self.onRendered,{startRow:e.top,endRow:e.bottom,grid:self})}}function handleHeaderScroll(){handleElementScroll($headerScroller[0])}function handleHeaderRowScroll(){handleElementScroll($headerRowScroller[0])}function handleFooterRowScroll(){handleElementScroll($footerRowScroller[0])}function handlePreHeaderPanelScroll(){handleElementScroll($preHeaderPanelScroller[0])}function handleElementScroll(e){var o=e.scrollLeft;o!=$viewport[0].scrollLeft&&($viewport[0].scrollLeft=o)}function handleScroll(){scrollTop=$viewport[0].scrollTop,scrollLeft=$viewport[0].scrollLeft;var e=Math.abs(scrollTop-prevScrollTop),o=Math.abs(scrollLeft-prevScrollLeft);if(o&&(prevScrollLeft=scrollLeft,$headerScroller[0].scrollLeft=scrollLeft,$topPanelScroller[0].scrollLeft=scrollLeft,$headerRowScroller[0].scrollLeft=scrollLeft,options.createFooterRow&&($footerRowScroller[0].scrollLeft=scrollLeft),options.createPreHeaderPanel&&($preHeaderPanelScroller[0].scrollLeft=scrollLeft)),e)if(vScrollDir=prevScrollTop<scrollTop?1:-1,prevScrollTop=scrollTop,e<viewportH)scrollTo(scrollTop+offset);else{var t=offset;page=h==viewportH?0:Math.min(n-1,Math.floor(scrollTop*((th-viewportH)/(h-viewportH))*(1/ph))),t!=(offset=Math.round(page*cj))&&invalidateAllRows()}if(o||e){var l=Math.abs(lastRenderedScrollLeft-scrollLeft),r=Math.abs(lastRenderedScrollTop-scrollTop);(l>20||r>20)&&(options.forceSyncScrolling||r<viewportH&&l<viewportW?render():scrollThrottle.enqueue(),trigger(self.onViewportChanged,{}))}trigger(self.onScroll,{scrollLeft,scrollTop})}function ActionThrottle(e,o){var t=!1,l=!1;function n(){l=!1}function r(){t=!0,setTimeout(i,o),e()}function i(){l?(n(),r()):t=!1}return{enqueue:function(){t?l=!0:r()},dequeue:n}}function asyncPostProcessRows(){for(var e=getDataLength();postProcessFromRow<=postProcessToRow;){var o=vScrollDir>=0?postProcessFromRow++:postProcessToRow--,t=rowsCache[o];if(t&&!(o>=e)){for(var l in postProcessedRows[o]||(postProcessedRows[o]={}),ensureCellNodesInRowsCache(o),t.cellNodesByColumnIdx)if(t.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=postProcessedRows[o][l];if(n.asyncPostRender&&\"R\"!==r){var i=t.cellNodesByColumnIdx[l];i&&n.asyncPostRender(i,o,getDataItem(o),n,\"C\"===r),postProcessedRows[o][l]=\"R\"}}return void(h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}}}function asyncPostProcessCleanupRows(){if(postProcessedCleanupQueue.length>0){for(var e=postProcessedCleanupQueue[0].groupId;postProcessedCleanupQueue.length>0&&postProcessedCleanupQueue[0].groupId==e;){var o=postProcessedCleanupQueue.shift();if(\"R\"==o.actionType&&$(o.node).remove(),\"C\"==o.actionType){var t=columns[o.columnIdx];t.asyncPostRenderCleanup&&o.node&&t.asyncPostRenderCleanup(o.node,o.rowIdx,t)}}h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay)}}function updateCellCssStylesOnRenderedRows(e,o){var t,l,n,r;for(var i in rowsCache){if(r=o&&o[i],n=e&&e[i],r)for(l in r)n&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).removeClass(r[l]);if(n)for(l in n)r&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).addClass(n[l])}}function addCellCssStyles(e,o){if(cellCssClasses[e])throw new Error(\"addCellCssStyles: cell CSS hash with key '\"+e+\"' already exists.\");cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,null),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function removeCellCssStyles(e){cellCssClasses[e]&&(updateCellCssStylesOnRenderedRows(null,cellCssClasses[e]),delete cellCssClasses[e],trigger(self.onCellCssStylesChanged,{key:e,hash:null,grid:self}))}function setCellCssStyles(e,o){var t=cellCssClasses[e];cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,t),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function getCellCssStyles(e){return cellCssClasses[e]}function flashCell(e,o,t){if(t=t||100,rowsCache[e]){var l=$(getCellNode(e,o)),n=function(e){e&&setTimeout((function(){l.queue((function(){l.toggleClass(options.cellFlashingCssClass).dequeue(),n(e-1)}))}),t)};n(4)}}function handleMouseWheel(e){var o=$(e.target).closest(\".slick-row\")[0];o!=rowNodeFromLastMouseWheelEvent&&(zombieRowNodeFromLastMouseWheelEvent&&zombieRowNodeFromLastMouseWheelEvent!=o&&(options.enableAsyncPostRenderCleanup&&zombieRowPostProcessedFromLastMouseWheelEvent?queuePostProcessedRowForCleanup(zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent):$canvas[0].removeChild(zombieRowNodeFromLastMouseWheelEvent),zombieRowNodeFromLastMouseWheelEvent=null,zombieRowCacheFromLastMouseWheelEvent=null,zombieRowPostProcessedFromLastMouseWheelEvent=null,options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()),rowNodeFromLastMouseWheelEvent=o)}function handleDragInit(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragInit,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDragStart(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragStart,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDrag(e,o){return trigger(self.onDrag,o,e)}function handleDragEnd(e,o){trigger(self.onDragEnd,o,e)}function handleKeyDown(e){trigger(self.onKeyDown,{row:activeRow,cell:activeCell},e);var o=e.isImmediatePropagationStopped(),t=Slick.keyCode;if(!o&&!e.shiftKey&&!e.altKey){if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;e.which==t.HOME?o=e.ctrlKey?navigateTop():navigateRowStart():e.which==t.END&&(o=e.ctrlKey?navigateBottom():navigateRowEnd())}if(!o)if(e.shiftKey||e.altKey||e.ctrlKey)e.which!=t.TAB||!e.shiftKey||e.ctrlKey||e.altKey||(o=navigatePrev());else{if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;if(e.which==t.ESCAPE){if(!getEditorLock().isActive())return;cancelEditAndSetFocus()}else e.which==t.PAGE_DOWN?(navigatePageDown(),o=!0):e.which==t.PAGE_UP?(navigatePageUp(),o=!0):e.which==t.LEFT?o=navigateLeft():e.which==t.RIGHT?o=navigateRight():e.which==t.UP?o=navigateUp():e.which==t.DOWN?o=navigateDown():e.which==t.TAB?o=navigateNext():e.which==t.ENTER&&(options.editable&&(currentEditor?activeRow===getDataLength()?navigateDown():commitEditAndSetFocus():getEditorLock().commitCurrentEdit()&&makeActiveCellEditable(void 0,void 0,e)),o=!0)}if(o){e.stopPropagation(),e.preventDefault();try{e.originalEvent.keyCode=0}catch(e){}}}function handleClick(e){currentEditor||(e.target!=document.activeElement||$(e.target).hasClass(\"slick-cell\"))&&setFocus();var o=getCellFromEvent(e);if(o&&(null===currentEditor||activeRow!=o.row||activeCell!=o.cell)&&(trigger(self.onClick,{row:o.row,cell:o.cell},e),!e.isImmediatePropagationStopped()&&canCellBeActive(o.row,o.cell)&&(!getEditorLock().isActive()||getEditorLock().commitCurrentEdit()))){scrollRowIntoView(o.row,!1);var t=e.target&&e.target.className===Slick.preClickClassName,l=columns[o.cell],n=!!(options.editable&&l&&l.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(getCellNode(o.row,o.cell),null,t,n,e)}}function handleContextMenu(e){var o=$(e.target).closest(\".slick-cell\",$canvas);0!==o.length&&(activeCellNode===o[0]&&null!==currentEditor||trigger(self.onContextMenu,{},e))}function handleDblClick(e){var o=getCellFromEvent(e);!o||null!==currentEditor&&activeRow==o.row&&activeCell==o.cell||(trigger(self.onDblClick,{row:o.row,cell:o.cell},e),e.isImmediatePropagationStopped()||options.editable&&gotoCell(o.row,o.cell,!0,e))}function handleHeaderMouseEnter(e){trigger(self.onHeaderMouseEnter,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderMouseLeave(e){trigger(self.onHeaderMouseLeave,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderContextMenu(e){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");trigger(self.onHeaderContextMenu,{column:t},e)}function handleHeaderClick(e){if(!columnResizeDragging){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");t&&trigger(self.onHeaderClick,{column:t},e)}}function handleMouseEnter(e){trigger(self.onMouseEnter,{},e)}function handleMouseLeave(e){trigger(self.onMouseLeave,{},e)}function cellExists(e,o){return!(e<0||e>=getDataLength()||o<0||o>=columns.length)}function getCellFromPoint(e,o){for(var t=getRowFromPosition(o),l=0,n=0,r=0;r<columns.length&&n<e;r++)n+=columns[r].width,l++;return l<0&&(l=0),{row:t,cell:l-1}}function getCellFromNode(e){var o=/l\\d+/.exec(e.className);if(!o)throw new Error(\"getCellFromNode: cannot get cell - \"+e.className);return parseInt(o[0].substr(1,o[0].length-1),10)}function getRowFromNode(e){for(var o in rowsCache)if(rowsCache[o].rowNode===e)return 0|o;return null}function getCellFromEvent(e){var o=$(e.target).closest(\".slick-cell\",$canvas);if(!o.length)return null;var t=getRowFromNode(o[0].parentNode),l=getCellFromNode(o[0]);return null==t||null==l?null:{row:t,cell:l}}function getCellNodeBox(e,o){if(!cellExists(e,o))return null;for(var t=getRowTop(e),l=t+options.rowHeight-1,n=0,r=0;r<o;r++)n+=columns[r].width;return{top:t,left:n,bottom:l,right:n+columns[o].width}}function resetActiveCell(){setActiveCellInternal(null,!1)}function setFocus(){-1==tabbingDirection?$focusSink[0].focus():$focusSink2[0].focus()}function scrollCellIntoView(e,o,t){scrollRowIntoView(e,t);var l=getColspan(e,o);internalScrollColumnIntoView(columnPosLeft[o],columnPosRight[o+(l>1?l-1:0)])}function internalScrollColumnIntoView(e,o){var t=scrollLeft+viewportW;e<scrollLeft?($viewport.scrollLeft(e),handleScroll(),render()):o>t&&($viewport.scrollLeft(Math.min(e,o-$viewport[0].clientWidth)),handleScroll(),render())}function scrollColumnIntoView(e){internalScrollColumnIntoView(columnPosLeft[e],columnPosRight[e])}function setActiveCellInternal(e,o,t,l,n){null!==activeCellNode&&(makeActiveCellNormal(),$(activeCellNode).removeClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).removeClass(\"active\"));null!=(activeCellNode=e)?(activeRow=getRowFromNode(activeCellNode.parentNode),activeCell=activePosX=getCellFromNode(activeCellNode),null==o&&(o=activeRow==getDataLength()||options.autoEdit),options.showCellSelection&&($(activeCellNode).addClass(\"active\"),$(rowsCache[activeRow].rowNode).addClass(\"active\")),options.editable&&o&&isCellPotentiallyEditable(activeRow,activeCell)&&(clearTimeout(h_editorLoader),options.asyncEditorLoading?h_editorLoader=setTimeout((function(){makeActiveCellEditable(void 0,t,n)}),options.asyncEditorLoadDelay):makeActiveCellEditable(void 0,t,n))):activeRow=activeCell=null,l||trigger(self.onActiveCellChanged,getActiveCell())}function clearTextSelection(){if(document.selection&&document.selection.empty)try{document.selection.empty()}catch(e){}else if(window.getSelection){var e=window.getSelection();e&&e.removeAllRanges&&e.removeAllRanges()}}function isCellPotentiallyEditable(e,o){var t=getDataLength();return!(e<t&&!getDataItem(e))&&(!(columns[o].cannotTriggerInsert&&e>=t)&&!!getEditor(e,o))}function makeActiveCellNormal(){if(currentEditor){if(trigger(self.onBeforeCellEditorDestroy,{editor:currentEditor}),currentEditor.destroy(),currentEditor=null,activeCellNode){var e=getDataItem(activeRow);if($(activeCellNode).removeClass(\"editable invalid\"),e){var o=columns[activeCell];applyFormatResultToCellNode(getFormatter(activeRow,o)(activeRow,activeCell,getDataItemValueForColumn(e,o),o,e,self),activeCellNode),invalidatePostProcessingResults(activeRow)}}navigator.userAgent.toLowerCase().match(/msie/)&&clearTextSelection(),getEditorLock().deactivate(editController)}}function makeActiveCellEditable(e,o,t){if(activeCellNode){if(!options.editable)throw new Error(\"Grid : makeActiveCellEditable : should never get called when options.editable is false\");if(clearTimeout(h_editorLoader),isCellPotentiallyEditable(activeRow,activeCell)){var l=columns[activeCell],n=getDataItem(activeRow);if(!1!==trigger(self.onBeforeEditCell,{row:activeRow,cell:activeCell,item:n,column:l})){getEditorLock().activate(editController),$(activeCellNode).addClass(\"editable\");var r=e||getEditor(activeRow,activeCell);e||r.suppressClearOnEdit||(activeCellNode.innerHTML=\"\"),currentEditor=new r({grid:self,gridPosition:absBox($container[0]),position:absBox(activeCellNode),container:activeCellNode,column:l,item:n||{},event:t,commitChanges:commitEditAndSetFocus,cancelChanges:cancelEditAndSetFocus}),n&&(currentEditor.loadValue(n),o&&currentEditor.preClick&&currentEditor.preClick()),serializedEditorValue=currentEditor.serializeValue(),currentEditor.position&&handleActiveCellPositionChange()}else setFocus()}}}function commitEditAndSetFocus(){getEditorLock().commitCurrentEdit()&&(setFocus(),options.autoEdit&&navigateDown())}function cancelEditAndSetFocus(){getEditorLock().cancelCurrentEdit()&&setFocus()}function absBox(e){var o={top:e.offsetTop,left:e.offsetLeft,bottom:0,right:0,width:$(e).outerWidth(),height:$(e).outerHeight(),visible:!0};o.bottom=o.top+o.height,o.right=o.left+o.width;for(var t=e.offsetParent;(e=e.parentNode)!=document.body&&null!=e;)o.visible&&e.scrollHeight!=e.offsetHeight&&\"visible\"!=$(e).css(\"overflowY\")&&(o.visible=o.bottom>e.scrollTop&&o.top<e.scrollTop+e.clientHeight),o.visible&&e.scrollWidth!=e.offsetWidth&&\"visible\"!=$(e).css(\"overflowX\")&&(o.visible=o.right>e.scrollLeft&&o.left<e.scrollLeft+e.clientWidth),o.left-=e.scrollLeft,o.top-=e.scrollTop,e===t&&(o.left+=e.offsetLeft,o.top+=e.offsetTop,t=e.offsetParent),o.bottom=o.top+o.height,o.right=o.left+o.width;return o}function getActiveCellPosition(){return absBox(activeCellNode)}function getGridPosition(){return absBox($container[0])}function handleActiveCellPositionChange(){if(activeCellNode&&(trigger(self.onActiveCellPositionChanged,{}),currentEditor)){var e=getActiveCellPosition();currentEditor.show&&currentEditor.hide&&(e.visible?currentEditor.show():currentEditor.hide()),currentEditor.position&&currentEditor.position(e)}}function getCellEditor(){return currentEditor}function getActiveCell(){return activeCellNode?{row:activeRow,cell:activeCell}:null}function getActiveCellNode(){return activeCellNode}function scrollRowIntoView(e,o){var t=e*options.rowHeight,l=(e+1)*options.rowHeight-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0);(e+1)*options.rowHeight>scrollTop+viewportH+offset?(scrollTo(o?t:l),render()):e*options.rowHeight<scrollTop+offset&&(scrollTo(o?l:t),render())}function scrollRowToTop(e){scrollTo(e*options.rowHeight),render()}function scrollPage(e){var o=e*numVisibleRows;if(scrollTo((getRowFromPosition(scrollTop)+o)*options.rowHeight),render(),options.enableCellNavigation&&null!=activeRow){var t=activeRow+o,l=getDataLengthIncludingAddNew();t>=l&&(t=l-1),t<0&&(t=0);for(var n=0,r=null,i=activePosX;n<=activePosX;)canCellBeActive(t,n)&&(r=n),n+=getColspan(t,n);null!==r?(setActiveCellInternal(getCellNode(t,r)),activePosX=i):resetActiveCell()}}function navigatePageDown(){scrollPage(1)}function navigatePageUp(){scrollPage(-1)}function navigateTop(){navigateToRow(0)}function navigateBottom(){navigateToRow(getDataLength()-1)}function navigateToRow(e){var o=getDataLength();if(!o)return!0;if(e<0?e=0:e>=o&&(e=o-1),scrollCellIntoView(e,0,!0),options.enableCellNavigation&&null!=activeRow){for(var t=0,l=null,n=activePosX;t<=activePosX;)canCellBeActive(e,t)&&(l=t),t+=getColspan(e,t);null!==l?(setActiveCellInternal(getCellNode(e,l)),activePosX=n):resetActiveCell()}return!0}function getColspan(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e);if(!t||!t.columns)return 1;var l=t.columns[columns[o].id]||t.columns[o],n=l&&l.colspan;return n=\"*\"===n?columns.length-o:n||1}function findFirstFocusableCell(e){for(var o=0;o<columns.length;){if(canCellBeActive(e,o))return o;o+=getColspan(e,o)}return null}function findLastFocusableCell(e){for(var o=0,t=null;o<columns.length;)canCellBeActive(e,o)&&(t=o),o+=getColspan(e,o);return t}function gotoRight(e,o,t){if(o>=columns.length)return null;do{o+=getColspan(e,o)}while(o<columns.length&&!canCellBeActive(e,o));return o<columns.length?{row:e,cell:o,posX:o}:null}function gotoLeft(e,o,t){if(o<=0)return null;var l=findFirstFocusableCell(e);if(null===l||l>=o)return null;for(var n,r={row:e,cell:l,posX:l};;){if(!(n=gotoRight(r.row,r.cell,r.posX)))return null;if(n.cell>=o)return r;r=n}}function gotoDown(e,o,t){for(var l,n=getDataLengthIncludingAddNew();;){if(++e>=n)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoUp(e,o,t){for(var l;;){if(--e<0)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoNext(e,o,t){if(null==e&&null==o&&canCellBeActive(e=o=t=0,o))return{row:e,cell:o,posX:o};var l=gotoRight(e,o,t);if(l)return l;var n=null,r=getDataLengthIncludingAddNew();for(e===r-1&&e--;++e<r;)if(null!==(n=findFirstFocusableCell(e)))return{row:e,cell:n,posX:n};return null}function gotoPrev(e,o,t){if(null==e&&null==o&&canCellBeActive(e=getDataLengthIncludingAddNew()-1,o=t=columns.length-1))return{row:e,cell:o,posX:o};for(var l,n;!l&&!(l=gotoLeft(e,o,t));){if(--e<0)return null;o=0,null!==(n=findLastFocusableCell(e))&&(l={row:e,cell:n,posX:n})}return l}function gotoRowStart(e,o,t){var l=findFirstFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function gotoRowEnd(e,o,t){var l=findLastFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function navigateRight(){return navigate(\"right\")}function navigateLeft(){return navigate(\"left\")}function navigateDown(){return navigate(\"down\")}function navigateUp(){return navigate(\"up\")}function navigateNext(){return navigate(\"next\")}function navigatePrev(){return navigate(\"prev\")}function navigateRowStart(){return navigate(\"home\")}function navigateRowEnd(){return navigate(\"end\")}function navigate(e){if(!options.enableCellNavigation)return!1;if(!activeCellNode&&\"prev\"!=e&&\"next\"!=e)return!1;if(!getEditorLock().commitCurrentEdit())return!0;setFocus();tabbingDirection={up:-1,down:1,left:-1,right:1,prev:-1,next:1,home:-1,end:1}[e];var o=(0,{up:gotoUp,down:gotoDown,left:gotoLeft,right:gotoRight,prev:gotoPrev,next:gotoNext,home:gotoRowStart,end:gotoRowEnd}[e])(activeRow,activeCell,activePosX);if(o){var t=o.row==getDataLength();return scrollCellIntoView(o.row,o.cell,!t&&options.emulatePagingWhenScrolling),setActiveCellInternal(getCellNode(o.row,o.cell)),activePosX=o.posX,!0}return setActiveCellInternal(getCellNode(activeRow,activeCell)),!1}function getCellNode(e,o){return rowsCache[e]?(ensureCellNodesInRowsCache(e),rowsCache[e].cellNodesByColumnIdx[o]):null}function setActiveCell(e,o,t,l,n){initialized&&(e>getDataLength()||e<0||o>=columns.length||o<0||options.enableCellNavigation&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t,l,n)))}function canCellBeActive(e,o){if(!options.enableCellNavigation||e>=getDataLengthIncludingAddNew()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.focusable)return!!t.focusable;var l=t&&t.columns;return l&&l[columns[o].id]&&void 0!==l[columns[o].id].focusable?!!l[columns[o].id].focusable:l&&l[o]&&void 0!==l[o].focusable?!!l[o].focusable:!!columns[o].focusable}function canCellBeSelected(e,o){if(e>=getDataLength()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.selectable)return!!t.selectable;var l=t&&t.columns&&(t.columns[columns[o].id]||t.columns[o]);return l&&void 0!==l.selectable?!!l.selectable:!!columns[o].selectable}function gotoCell(e,o,t,l){initialized&&(canCellBeActive(e,o)&&getEditorLock().commitCurrentEdit()&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t||e===getDataLength()||options.autoEdit,null,options.editable,l),currentEditor||setFocus()))}function commitCurrentEdit(){var e=getDataItem(activeRow),o=columns[activeCell];if(currentEditor){if(currentEditor.isValueChanged()){var t=currentEditor.validate();if(t.valid){if(activeRow<getDataLength()){var l={row:activeRow,cell:activeCell,editor:currentEditor,serializedValue:currentEditor.serializeValue(),prevSerializedValue:serializedEditorValue,execute:function(){this.editor.applyValue(e,this.serializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})},undo:function(){this.editor.applyValue(e,this.prevSerializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})}};options.editCommandHandler?(makeActiveCellNormal(),options.editCommandHandler(e,o,l)):(l.execute(),makeActiveCellNormal())}else{var n={};currentEditor.applyValue(n,currentEditor.serializeValue()),makeActiveCellNormal(),trigger(self.onAddNewRow,{item:n,column:o})}return!getEditorLock().isActive()}return $(activeCellNode).removeClass(\"invalid\"),$(activeCellNode).width(),$(activeCellNode).addClass(\"invalid\"),trigger(self.onValidationError,{editor:currentEditor,cellNode:activeCellNode,validationResults:t,row:activeRow,cell:activeCell,column:o}),currentEditor.focus(),!1}makeActiveCellNormal()}return!0}function cancelCurrentEdit(){return makeActiveCellNormal(),!0}function rowsToRanges(e){for(var o=[],t=columns.length-1,l=0;l<e.length;l++)o.push(new Slick.Range(e[l],0,e[l],t));return o}function getSelectedRows(){if(!selectionModel)throw new Error(\"Selection model is not set\");return selectedRows}function setSelectedRows(e){if(!selectionModel)throw new Error(\"Selection model is not set\");self&&self.getEditorLock&&!self.getEditorLock().isActive()&&selectionModel.setSelectedRanges(rowsToRanges(e))}this.debug=function(){var e=\"\";e+=\"\\ncounter_rows_rendered:  \"+counter_rows_rendered,e+=\"\\ncounter_rows_removed:  \"+counter_rows_removed,e+=\"\\nrenderedRows:  \"+renderedRows,e+=\"\\nnumVisibleRows:  \"+numVisibleRows,e+=\"\\nmaxSupportedCssHeight:  \"+maxSupportedCssHeight,e+=\"\\nn(umber of pages):  \"+n,e+=\"\\n(current) page:  \"+page,e+=\"\\npage height (ph):  \"+ph,e+=\"\\nvScrollDir:  \"+vScrollDir,alert(e)},this.eval=function(expr){return eval(expr)},$.extend(this,{slickGridVersion:\"2.3.23\",onScroll:new Slick.Event,onSort:new Slick.Event,onHeaderMouseEnter:new Slick.Event,onHeaderMouseLeave:new Slick.Event,onHeaderContextMenu:new Slick.Event,onHeaderClick:new Slick.Event,onHeaderCellRendered:new Slick.Event,onBeforeHeaderCellDestroy:new Slick.Event,onHeaderRowCellRendered:new Slick.Event,onFooterRowCellRendered:new Slick.Event,onBeforeHeaderRowCellDestroy:new Slick.Event,onBeforeFooterRowCellDestroy:new Slick.Event,onMouseEnter:new Slick.Event,onMouseLeave:new Slick.Event,onClick:new Slick.Event,onDblClick:new Slick.Event,onContextMenu:new Slick.Event,onKeyDown:new Slick.Event,onAddNewRow:new Slick.Event,onBeforeAppendCell:new Slick.Event,onValidationError:new Slick.Event,onViewportChanged:new Slick.Event,onColumnsReordered:new Slick.Event,onColumnsResized:new Slick.Event,onCellChange:new Slick.Event,onBeforeEditCell:new Slick.Event,onBeforeCellEditorDestroy:new Slick.Event,onBeforeDestroy:new Slick.Event,onActiveCellChanged:new Slick.Event,onActiveCellPositionChanged:new Slick.Event,onDragInit:new Slick.Event,onDragStart:new Slick.Event,onDrag:new Slick.Event,onDragEnd:new Slick.Event,onSelectedRowsChanged:new Slick.Event,onCellCssStylesChanged:new Slick.Event,onAutosizeColumns:new Slick.Event,onRendered:new Slick.Event,registerPlugin,unregisterPlugin,getColumns,setColumns,getColumnIndex,updateColumnHeader,setSortColumn,setSortColumns,getSortColumns,autosizeColumns,getOptions,setOptions,getData,getDataLength,getDataItem,setData,getSelectionModel,setSelectionModel,getSelectedRows,setSelectedRows,getContainerNode,updatePagingStatusFromView,render,invalidate,invalidateRow,invalidateRows,invalidateAllRows,updateCell,updateRow,getViewport:getVisibleRange,getRenderedRange,resizeCanvas,updateRowCount,scrollRowIntoView,scrollRowToTop,scrollCellIntoView,scrollColumnIntoView,getCanvasNode,getUID,getHeaderColumnWidthDiff,getScrollbarDimensions,getHeadersWidth,getCanvasWidth,focus:setFocus,scrollTo,getCellFromPoint,getCellFromEvent,getActiveCell,setActiveCell,getActiveCellNode,getActiveCellPosition,resetActiveCell,editActiveCell:makeActiveCellEditable,getCellEditor,getCellNode,getCellNodeBox,canCellBeSelected,canCellBeActive,navigatePrev,navigateNext,navigateUp,navigateDown,navigateLeft,navigateRight,navigatePageUp,navigatePageDown,navigateTop,navigateBottom,navigateRowStart,navigateRowEnd,gotoCell,getTopPanel,setTopPanelVisibility,getPreHeaderPanel,setPreHeaderPanelVisibility,getHeader,getHeaderColumn,setHeaderRowVisibility,getHeaderRow,getHeaderRowColumn,setFooterRowVisibility,getFooterRow,getFooterRowColumn,getGridPosition,flashCell,addCellCssStyles,setCellCssStyles,removeCellCssStyles,getCellCssStyles,init:finishInitialization,destroy,getEditorLock,getEditController}),init()}module.exports={Grid:SlickGrid}},\n",
+       "      450: function _(t,e,a){\n",
+       "      /*!\n",
+       "           * jquery.event.drag - v 2.3.0\n",
+       "           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n",
+       "           * Open Source MIT License - http://threedubmedia.com/code/license\n",
+       "           */\n",
+       "      var n=t(443);n.fn.drag=function(t,e,a){var r=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==r.indexOf(\"drag\")&&(r=\"drag\"+r),a=(t==o?e:a)||{},o?this.on(r,a,o):this.trigger(r)};var r=n.event,o=r.special,i=o.drag={defaults:{which:1,distance:0,not:\":input\",handle:null,relative:!1,drop:!0,click:!1},datakey:\"dragdata\",noBubble:!0,add:function(t){var e=n.data(this,i.datakey),a=t.data||{};e.related+=1,n.each(i.defaults,(function(t,n){void 0!==a[t]&&(e[t]=a[t])}))},remove:function(){n.data(this,i.datakey).related-=1},setup:function(){if(!n.data(this,i.datakey)){var t=n.extend({related:0},i.defaults);n.data(this,i.datakey,t),r.add(this,\"touchstart mousedown\",i.init,t),this.attachEvent&&this.attachEvent(\"ondragstart\",i.dontstart)}},teardown:function(){(n.data(this,i.datakey)||{}).related||(n.removeData(this,i.datakey),r.remove(this,\"touchstart mousedown\",i.init),i.textselect(!0),this.detachEvent&&this.detachEvent(\"ondragstart\",i.dontstart))},init:function(t){if(!i.touched){var e,a=t.data;if(!(0!=t.which&&a.which>0&&t.which!=a.which)&&!n(t.target).is(a.not)&&(!a.handle||n(t.target).closest(a.handle,t.currentTarget).length)&&(i.touched=\"touchstart\"==t.type?this:null,a.propagates=1,a.mousedown=this,a.interactions=[i.interaction(this,a)],a.target=t.target,a.pageX=t.pageX,a.pageY=t.pageY,a.dragging=null,e=i.hijack(t,\"draginit\",a),a.propagates))return(e=i.flatten(e))&&e.length&&(a.interactions=[],n.each(e,(function(){a.interactions.push(i.interaction(this,a))}))),a.propagates=a.interactions.length,!1!==a.drop&&o.drop&&o.drop.handler(t,a),i.textselect(!1),i.touched?r.add(i.touched,\"touchmove touchend\",i.handler,a):r.add(document,\"mousemove mouseup\",i.handler,a),!(!i.touched||a.live)&&void 0}},interaction:function(t,e){var a=t&&t.ownerDocument&&n(t)[e.relative?\"position\":\"offset\"]()||{top:0,left:0};return{drag:t,callback:new i.callback,droppable:[],offset:a}},handler:function(t){var e=t.data;switch(t.type){case!e.dragging&&\"touchmove\":t.preventDefault();case!e.dragging&&\"mousemove\":if(Math.pow(t.pageX-e.pageX,2)+Math.pow(t.pageY-e.pageY,2)<Math.pow(e.distance,2))break;t.target=e.target,i.hijack(t,\"dragstart\",e),e.propagates&&(e.dragging=!0);case\"touchmove\":t.preventDefault();case\"mousemove\":if(e.dragging){if(i.hijack(t,\"drag\",e),e.propagates){!1!==e.drop&&o.drop&&o.drop.handler(t,e);break}t.type=\"mouseup\"}case\"touchend\":case\"mouseup\":default:i.touched?r.remove(i.touched,\"touchmove touchend\",i.handler):r.remove(document,\"mousemove mouseup\",i.handler),e.dragging&&(!1!==e.drop&&o.drop&&o.drop.handler(t,e),i.hijack(t,\"dragend\",e)),i.textselect(!0),!1===e.click&&e.dragging&&n.data(e.mousedown,\"suppress.click\",(new Date).getTime()+5),e.dragging=i.touched=!1}},hijack:function(t,e,a,o,d){if(a){var s,c,l,p={event:t.originalEvent,type:t.type},u=e.indexOf(\"drop\")?\"drag\":\"drop\",g=o||0,h=isNaN(o)?a.interactions.length:o;t.type=e;var f=function(){};t.originalEvent=new n.Event(p.event,{preventDefault:f,stopPropagation:f,stopImmediatePropagation:f}),a.results=[];do{if(c=a.interactions[g]){if(\"dragend\"!==e&&c.cancelled)continue;l=i.properties(t,a,c),c.results=[],n(d||c[u]||a.droppable).each((function(o,d){if(l.target=d,t.isPropagationStopped=function(){return!1},!1===(s=d?r.dispatch.call(d,t,l):null)?(\"drag\"==u&&(c.cancelled=!0,a.propagates-=1),\"drop\"==e&&(c[u][o]=null)):\"dropinit\"==e&&c.droppable.push(i.element(s)||d),\"dragstart\"==e&&(c.proxy=n(i.element(s)||c.drag)[0]),c.results.push(s),delete t.result,\"dropinit\"!==e)return s})),a.results[g]=i.flatten(c.results),\"dropinit\"==e&&(c.droppable=i.flatten(c.droppable)),\"dragstart\"!=e||c.cancelled||l.update()}}while(++g<h);return t.type=p.type,t.originalEvent=p.event,i.flatten(a.results)}},properties:function(t,e,a){var n=a.callback;return n.drag=a.drag,n.proxy=a.proxy||a.drag,n.startX=e.pageX,n.startY=e.pageY,n.deltaX=t.pageX-e.pageX,n.deltaY=t.pageY-e.pageY,n.originalX=a.offset.left,n.originalY=a.offset.top,n.offsetX=n.originalX+n.deltaX,n.offsetY=n.originalY+n.deltaY,n.drop=i.flatten((a.drop||[]).slice()),n.available=i.flatten((a.droppable||[]).slice()),n},element:function(t){if(t&&(t.jquery||1==t.nodeType))return t},flatten:function(t){return n.map(t,(function(t){return t&&t.jquery?n.makeArray(t):t&&t.length?i.flatten(t):t}))},textselect:function(t){n(document)[t?\"off\":\"on\"](\"selectstart\",i.dontstart).css(\"MozUserSelect\",t?\"\":\"none\"),document.unselectable=t?\"off\":\"on\"},dontstart:function(){return!1},callback:function(){}};i.callback.prototype={update:function(){o.drop&&this.available.length&&n.each(this.available,(function(t){o.drop.locate(this,t)}))}};var d=r.dispatch;r.dispatch=function(t){if(!(n.data(this,\"suppress.\"+t.type)-(new Date).getTime()>0))return d.apply(this,arguments);n.removeData(this,\"suppress.\"+t.type)},o.draginit=o.dragstart=o.dragend=i},\n",
+       "      451: function _(t,e,a){\n",
+       "      /*!\n",
+       "           * jquery.event.drop - v 2.3.0\n",
+       "           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n",
+       "           * Open Source MIT License - http://threedubmedia.com/code/license\n",
+       "           */\n",
+       "      var n=t(443);n.fn.drop=function(t,e,a){var i=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==i.indexOf(\"drop\")&&(i=\"drop\"+i),a=(t==o?e:a)||{},o?this.on(i,a,o):this.trigger(i)},n.drop=function(t){t=t||{},o.multi=!0===t.multi?1/0:!1===t.multi?1:isNaN(t.multi)?o.multi:t.multi,o.delay=t.delay||o.delay,o.tolerance=n.isFunction(t.tolerance)?t.tolerance:null===t.tolerance?null:o.tolerance,o.mode=t.mode||o.mode||\"intersect\"};var i=n.event.special,o=n.event.special.drop={multi:1,delay:20,mode:\"overlap\",targets:[],datakey:\"dropdata\",noBubble:!0,add:function(t){n.data(this,o.datakey).related+=1},remove:function(){n.data(this,o.datakey).related-=1},setup:function(){if(!n.data(this,o.datakey)){n.data(this,o.datakey,{related:0,active:[],anyactive:0,winner:0,location:{}}),o.targets.push(this)}},teardown:function(){if(!(n.data(this,o.datakey)||{}).related){n.removeData(this,o.datakey);var t=this;o.targets=n.grep(o.targets,(function(e){return e!==t}))}},handler:function(t,e){var a;if(e)switch(t.type){case\"mousedown\":case\"touchstart\":a=n(o.targets),\"string\"==typeof e.drop&&(a=a.filter(e.drop)),a.each((function(){var t=n.data(this,o.datakey);t.active=[],t.anyactive=0,t.winner=0})),e.droppable=a,i.drag.hijack(t,\"dropinit\",e);break;case\"mousemove\":case\"touchmove\":o.event=t,o.timer||o.tolerate(e);break;case\"mouseup\":case\"touchend\":o.timer=clearTimeout(o.timer),e.propagates&&(i.drag.hijack(t,\"drop\",e),i.drag.hijack(t,\"dropend\",e))}},locate:function(t,e){var a=n.data(t,o.datakey),i=n(t),r=i.offset()||{},d=i.outerHeight(),l=i.outerWidth(),c={elem:t,width:l,height:d,top:r.top,left:r.left,right:r.left+l,bottom:r.top+d};return a&&(a.location=c,a.index=e,a.elem=t),c},contains:function(t,e){return(e[0]||e.left)>=t.left&&(e[0]||e.right)<=t.right&&(e[1]||e.top)>=t.top&&(e[1]||e.bottom)<=t.bottom},modes:{intersect:function(t,e,a){return this.contains(a,[t.pageX,t.pageY])?1e9:this.modes.overlap.apply(this,arguments)},overlap:function(t,e,a){return Math.max(0,Math.min(a.bottom,e.bottom)-Math.max(a.top,e.top))*Math.max(0,Math.min(a.right,e.right)-Math.max(a.left,e.left))},fit:function(t,e,a){return this.contains(a,e)?1:0},middle:function(t,e,a){return this.contains(a,[e.left+.5*e.width,e.top+.5*e.height])?1:0}},sort:function(t,e){return e.winner-t.winner||t.index-e.index},tolerate:function(t){var e,a,r,d,l,c,s,u,p=0,h=t.interactions.length,m=[o.event.pageX,o.event.pageY],f=o.tolerance||o.modes[o.mode];do{if(u=t.interactions[p]){if(!u)return;u.drop=[],l=[],c=u.droppable.length,f&&(r=o.locate(u.proxy)),e=0;do{if(s=u.droppable[e]){if(!(a=(d=n.data(s,o.datakey)).location))continue;d.winner=f?f.call(o,o.event,r,a):o.contains(a,m)?1:0,l.push(d)}}while(++e<c);l.sort(o.sort),e=0;do{(d=l[e])&&(d.winner&&u.drop.length<o.multi?(d.active[p]||d.anyactive||(!1!==i.drag.hijack(o.event,\"dropstart\",t,p,d.elem)[0]?(d.active[p]=1,d.anyactive+=1):d.winner=0),d.winner&&u.drop.push(d.elem)):d.active[p]&&1==d.anyactive&&(i.drag.hijack(o.event,\"dropend\",t,p,d.elem),d.active[p]=0,d.anyactive-=1))}while(++e<c)}}while(++p<h);o.last&&m[0]==o.last.pageX&&m[1]==o.last.pageY?delete o.timer:o.timer=setTimeout((function(){o.tolerate(t)}),o.delay),o.last=o.event}};i.dropinit=i.dropstart=i.dropend=o},\n",
+       "      452: function _(t,e,n){var r=t(443),i=t(445);var o={Avg:function(t){this.field_=t,this.init=function(){this.count_=0,this.nonNullCount_=0,this.sum_=0},this.accumulate=function(t){var e=t[this.field_];this.count_++,null==e||\"\"===e||isNaN(e)||(this.nonNullCount_++,this.sum_+=parseFloat(e))},this.storeResult=function(t){t.avg||(t.avg={}),0!=this.nonNullCount_&&(t.avg[this.field_]=this.sum_/this.nonNullCount_)}},Min:function(t){this.field_=t,this.init=function(){this.min_=null},this.accumulate=function(t){var e=t[this.field_];null==e||\"\"===e||isNaN(e)||(null==this.min_||e<this.min_)&&(this.min_=e)},this.storeResult=function(t){t.min||(t.min={}),t.min[this.field_]=this.min_}},Max:function(t){this.field_=t,this.init=function(){this.max_=null},this.accumulate=function(t){var e=t[this.field_];null==e||\"\"===e||isNaN(e)||(null==this.max_||e>this.max_)&&(this.max_=e)},this.storeResult=function(t){t.max||(t.max={}),t.max[this.field_]=this.max_}},Sum:function(t){this.field_=t,this.init=function(){this.sum_=null},this.accumulate=function(t){var e=t[this.field_];null==e||\"\"===e||isNaN(e)||(this.sum_+=parseFloat(e))},this.storeResult=function(t){t.sum||(t.sum={}),t.sum[this.field_]=this.sum_}}};e.exports={DataView:function(t){var e,n,o,a,l,s=this,u=\"id\",g=[],c=[],f={},p=null,h=null,d=null,m=!1,v=!0,_={},w={},$=[],y=[],I={getter:null,formatter:null,comparer:function(t,e){return t.value===e.value?0:t.value>e.value?1:-1},predefinedValues:[],aggregators:[],aggregateEmpty:!1,aggregateCollapsed:!1,aggregateChildGroups:!1,collapsed:!1,displayTotalsRow:!0,lazyTotalsCalculation:!1},C=[],R=[],x=[],b=0,M=0,F=0,A=new i.Event,S=new i.Event,N=new i.Event;function E(t){for(var e,n=t=t||0,r=g.length;n<r;n++){if(void 0===(e=g[n][u]))throw new Error(\"Each data element must implement a unique 'id' property\");f[e]=n}}function T(){var t=b?Math.max(1,Math.ceil(F/b)):1;return{pageSize:b,pageNum:M,totalRows:F,totalPages:t,dataView:s}}function G(t,r){v=r,n=t,e=null,!1===r&&g.reverse(),g.sort(t),!1===r&&g.reverse(),f={},E(),Z()}function D(t,r){v=r,e=t,n=null;var i=Object.prototype.toString;Object.prototype.toString=\"function\"==typeof t?t:function(){return this[t]},!1===r&&g.reverse(),g.sort(),Object.prototype.toString=i,!1===r&&g.reverse(),f={},E(),Z()}function P(e){t.groupItemMetadataProvider||(t.groupItemMetadataProvider=new i.Data.GroupItemMetadataProvider),R=[],x=[],C=(e=e||[])instanceof Array?e:[e];for(var n=0;n<C.length;n++){var o=C[n]=r.extend(!0,{},I,C[n]);o.getterIsAFn=\"function\"==typeof o.getter,o.compiledAccumulators=[];for(var a=o.aggregators.length;a--;)o.compiledAccumulators[a]=W(o.aggregators[a]);x[n]={}}Z()}function j(){if(!p){p={};for(var t=0,e=c.length;t<e;t++)p[c[t][u]]=t}}function z(t){return g[f[t]]}function B(t,e){if(void 0===f[t]||t!==e[u])throw new Error(\"Invalid or non-matching id\");g[f[t]]=e,d||(d={}),d[t]=!0,Z()}function V(t,e){g.splice(t,0,e),E(t),Z()}function O(t){var e=f[t];if(void 0===e)throw new Error(\"Invalid id\");delete f[t],g.splice(e,1),E(e),Z()}function q(t){if(!n)throw new Error(\"sortedAddItem() requires a sort comparer, use sort()\");V(function(t){var e=0,r=g.length;for(;e<r;){var i=e+r>>>1;-1===n(g[i],t)?e=i+1:r=i}return e}(t),t)}function K(t,e){if(null==t)for(var n=0;n<C.length;n++)x[n]={},C[n].collapsed=e;else x[t]={},C[t].collapsed=e;Z()}function U(t,e,n){x[t][e]=C[t].collapsed^n,Z()}function L(t){var e,n=t.group,r=C[n.level],i=n.level==C.length,o=r.aggregators.length;if(!i&&r.aggregateChildGroups)for(var a=n.groups.length;a--;)n.groups[a].totals.initialized||L(n.groups[a].totals);for(;o--;)(e=r.aggregators[o]).init(),!i&&r.aggregateChildGroups?r.compiledAccumulators[o].call(e,n.groups):r.compiledAccumulators[o].call(e,n.rows),e.storeResult(t);t.initialized=!0}function k(t){var e=C[t.level],n=new i.GroupTotals;n.group=t,t.totals=n,e.lazyTotalsCalculation||L(n)}function H(t){var e=t.toString().match(/^function[^(]*\\(([^)]*)\\)\\s*{([\\s\\S]*)}$/);return{params:e[1].split(\",\"),body:e[2]}}function W(t){var e=H(t.accumulate),n=new Function(\"_items\",\"for (var \"+e.params[0]+\", _i=0, _il=_items.length; _i<_il; _i++) {\"+e.params[0]+\" = _items[_i]; \"+e.body+\"}\");return n.displayName=n.name=\"compiledAccumulatorLoop\",n}function J(t,e){for(var n=[],r=0,i=0,o=t.length;i<o;i++)h(t[i],e)&&(n[r++]=t[i]);return n}function Q(t,e,n){for(var r,i=[],o=0,a=0,l=t.length;a<l;a++)r=t[a],n[a]?i[o++]=r:h(r,e)&&(i[o++]=r,n[a]=!0);return i}function X(e){if(h){var n=t.inlineFilters?a:J,r=t.inlineFilters?l:Q;_.isFilterNarrowing?$=n($,o):_.isFilterExpanding?$=r(e,o,y):_.isFilterUnchanged||($=n(e,o))}else $=b?e:e.concat();var i;return b?($.length<=M*b&&(M=0===$.length?0:Math.floor(($.length-1)/b)),i=$.slice(b*M,b*M+b)):i=$,{totalRows:$.length,rows:i}}function Y(t){p=null,_.isFilterNarrowing==w.isFilterNarrowing&&_.isFilterExpanding==w.isFilterExpanding||(y=[]);var e=X(t);F=e.totalRows;var n=e.rows;R=[],C.length&&(R=function t(e,n){for(var r,o,a,l=[],s={},u=n?n.level+1:0,g=C[u],c=0,f=g.predefinedValues.length;c<f;c++)(r=s[o=g.predefinedValues[c]])||((r=new i.Group).value=o,r.level=u,r.groupingKey=(n?n.groupingKey+\":|:\":\"\")+o,l[l.length]=r,s[o]=r);for(c=0,f=e.length;c<f;c++)a=e[c],(r=s[o=g.getterIsAFn?g.getter(a):a[g.getter]])||((r=new i.Group).value=o,r.level=u,r.groupingKey=(n?n.groupingKey+\":|:\":\"\")+o,l[l.length]=r,s[o]=r),r.rows[r.count++]=a;if(u<C.length-1)for(c=0;c<l.length;c++)(r=l[c]).groups=t(r.rows,r);return l.sort(C[u].comparer),l}(n)).length&&(!function t(e,n){for(var r,i=C[n=n||0],o=i.collapsed,a=x[n],l=e.length;l--;)(r=e[l]).collapsed&&!i.aggregateCollapsed||(r.groups&&t(r.groups,n+1),i.aggregators.length&&(i.aggregateEmpty||r.rows.length||r.groups&&r.groups.length)&&k(r),r.collapsed=o^a[r.groupingKey],r.title=i.formatter?i.formatter(r):r.value)}(R),n=function t(e,n){for(var r,i,o=C[n=n||0],a=[],l=0,s=0,u=e.length;s<u;s++){if(i=e[s],a[l++]=i,!i.collapsed)for(var g=0,c=(r=i.groups?t(i.groups,n+1):i.rows).length;g<c;g++)a[l++]=r[g];i.totals&&o.displayTotalsRow&&(!i.collapsed||o.aggregateCollapsed)&&(a[l++]=i.totals)}return a}(R));var r=function(t,e){var n,r,i,o=[],a=0,l=e.length;_&&_.ignoreDiffsBefore&&(a=Math.max(0,Math.min(e.length,_.ignoreDiffsBefore))),_&&_.ignoreDiffsAfter&&(l=Math.min(e.length,Math.max(0,_.ignoreDiffsAfter)));for(var s=a,g=t.length;s<l;s++)s>=g?o[o.length]=s:(n=e[s],r=t[s],(C.length&&(i=n.__nonDataRow||r.__nonDataRow)&&n.__group!==r.__group||n.__group&&!n.equals(r)||i&&(n.__groupTotals||r.__groupTotals)||n[u]!=r[u]||d&&d[n[u]])&&(o[o.length]=s));return o}(c,n);return c=n,r}function Z(){if(!m){var t=c.length,e=F,n=Y(g);b&&F<M*b&&(M=Math.max(0,Math.ceil(F/b)-1),n=Y(g)),d=null,w=_,_={},e!==F&&N.notify(T(),null,s),t!==c.length&&A.notify({previous:t,current:c.length,dataView:s},null,s),n.length>0&&S.notify({rows:n,dataView:s},null,s)}}t=r.extend(!0,{},{groupItemMetadataProvider:null,inlineFilters:!1},t),r.extend(this,{beginUpdate:function(){m=!0},endUpdate:function(){m=!1,Z()},setPagingOptions:function(t){null!=t.pageSize&&(b=t.pageSize,M=b?Math.min(M,Math.max(0,Math.ceil(F/b)-1)):0),null!=t.pageNum&&(M=Math.min(t.pageNum,Math.max(0,Math.ceil(F/b)-1))),N.notify(T(),null,s),Z()},getPagingInfo:T,getItems:function(){return g},setItems:function(t,e){void 0!==e&&(u=e),g=$=t,f={},E(),function(){for(var t,e=0,n=g.length;e<n;e++)if(void 0===(t=g[e][u])||f[t]!==e)throw new Error(\"Each data element must implement a unique 'id' property\")}(),Z()},setFilter:function(e){h=e,t.inlineFilters&&(a=function(){var t=H(h),e=\"{ _retval[_idx++] = $item$; 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}$1\").replace(/return true\\s*([;}]|\\}|$)/gi,e).replace(/return!0([;}]|\\}|$)/gi,e).replace(/return ([^;}]+?)\\s*([;}]|$)/gi,\"{ if ((_cache[_i] = $1)) { _retval[_idx++] = $item$; }; continue _coreloop; }$2\"),r=[\"var _retval = [], _idx = 0; \",\"var $item$, $args$ = _args; \",\"_coreloop: \",\"for (var _i = 0, _il = _items.length; _i < _il; _i++) { \",\"$item$ = _items[_i]; \",\"if (_cache[_i]) { \",\"_retval[_idx++] = $item$; \",\"continue _coreloop; \",\"} \",\"$filter$; \",\"} \",\"return _retval; \"].join(\"\");r=(r=(r=r.replace(/\\$filter\\$/gi,n)).replace(/\\$item\\$/gi,t.params[0])).replace(/\\$args\\$/gi,t.params[1]);var i=new Function(\"_items,_args,_cache\",r);return i.displayName=i.name=\"compiledFilterWithCaching\",i}()),Z()},getFilter:function(){return h},getFilteredItems:function(){return $},sort:G,fastSort:D,reSort:function(){n?G(n,v):e&&D(e,v)},setGrouping:P,getGrouping:function(){return C},groupBy:function(t,e,n){P(null!=t?{getter:t,formatter:e,comparer:n}:[])},setAggregators:function(t,e){if(!C.length)throw new Error(\"At least one grouping must be specified before calling setAggregators().\");C[0].aggregators=t,C[0].aggregateCollapsed=e,P(C)},collapseAllGroups:function(t){K(t,!0)},expandAllGroups:function(t){K(t,!1)},collapseGroup:function(t){var e=Array.prototype.slice.call(arguments),n=e[0];1==e.length&&-1!=n.indexOf(\":|:\")?U(n.split(\":|:\").length-1,n,!0):U(e.length-1,e.join(\":|:\"),!0)},expandGroup:function(t){var e=Array.prototype.slice.call(arguments),n=e[0];1==e.length&&-1!=n.indexOf(\":|:\")?U(n.split(\":|:\").length-1,n,!1):U(e.length-1,e.join(\":|:\"),!1)},getGroups:function(){return R},getIdxById:function(t){return f[t]},getRowByItem:function(t){return j(),p[t[u]]},getRowById:function(t){return j(),p[t]},getItemById:z,getItemByIdx:function(t){return g[t]},mapItemsToRows:function(t){var e=[];j();for(var n=0,r=t.length;n<r;n++){var i=p[t[n][u]];null!=i&&(e[e.length]=i)}return e},mapRowsToIds:function(t){for(var e=[],n=0,r=t.length;n<r;n++)t[n]<c.length&&(e[e.length]=c[t[n]][u]);return e},mapIdsToRows:function(t){var e=[];j();for(var n=0,r=t.length;n<r;n++){var i=p[t[n]];null!=i&&(e[e.length]=i)}return e},setRefreshHints:function(t){_=t},setFilterArgs:function(t){o=t},refresh:Z,updateItem:B,insertItem:V,addItem:function(t){g.push(t),E(g.length-1),Z()},deleteItem:O,sortedAddItem:q,sortedUpdateItem:function(t,e){if(void 0===f[t]||t!==e[u])throw new Error(\"Invalid or non-matching id \"+f[t]);if(!n)throw new Error(\"sortedUpdateItem() requires a sort comparer, use sort()\");var r=z(t);0!==n(r,e)?(O(t),q(e)):B(t,e)},syncGridSelection:function(t,e,n){var o,a=this,l=a.mapRowsToIds(t.getSelectedRows()),s=new i.Event;function u(e){l.join(\",\")!=e.join(\",\")&&(l=e,s.notify({grid:t,ids:l,dataView:a},new i.EventData,a))}function g(){if(l.length>0){o=!0;var n=a.mapIdsToRows(l);e||u(a.mapRowsToIds(n)),t.setSelectedRows(n),o=!1}}return t.onSelectedRowsChanged.subscribe((function(e,i){if(!o){var s=a.mapRowsToIds(t.getSelectedRows());if(n&&t.getOptions().multiSelect)u(r.grep(l,(function(t){return void 0===a.getRowById(t)})).concat(s));else u(s)}})),this.onRowsChanged.subscribe(g),this.onRowCountChanged.subscribe(g),s},syncGridCellCssStyles:function(t,e){var n,r;function i(t){for(var e in n={},t){var r=c[e][u];n[r]=t[e]}}function o(){if(n){r=!0,j();var i={};for(var o in n){var a=p[o];null!=a&&(i[a]=n[o])}t.setCellCssStyles(e,i),r=!1}}i(t.getCellCssStyles(e)),t.onCellCssStylesChanged.subscribe((function(n,a){r||e==a.key&&(a.hash?i(a.hash):(t.onCellCssStylesChanged.unsubscribe(styleChanged),s.onRowsChanged.unsubscribe(o),s.onRowCountChanged.unsubscribe(o)))})),this.onRowsChanged.subscribe(o),this.onRowCountChanged.subscribe(o)},getLength:function(){return c.length},getItem:function(t){var e=c[t];if(e&&e.__group&&e.totals&&!e.totals.initialized){var n=C[e.level];n.displayTotalsRow||(L(e.totals),e.title=n.formatter?n.formatter(e):e.value)}else e&&e.__groupTotals&&!e.initialized&&L(e);return e},getItemMetadata:function(e){var n=c[e];return void 0===n?null:n.__group?t.groupItemMetadataProvider.getGroupRowMetadata(n):n.__groupTotals?t.groupItemMetadataProvider.getTotalsRowMetadata(n):null},onRowCountChanged:A,onRowsChanged:S,onPagingInfoChanged:N})},Aggregators:o,Data:{Aggregators:o}}},\n",
+       "      453: function _(e,t,i){var n=e(443),o=e(445);function l(e){var t,i;function o(){var t=e.column.editorFixedDecimalPlaces;return void 0===t&&(t=l.DefaultDecimalPlaces),t||0===t?t:null}this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field];var l=o();null!==l&&(i||0===i)&&i.toFixed&&(i=i.toFixed(l)),t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){var e=parseFloat(t.val());l.AllowEmptyValue?e||0===e||(e=\"\"):e=e||0;var i=o();return null!==i&&(e||0===e)&&e.toFixed&&(e=parseFloat(e.toFixed(i))),e},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid number\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}function a(e){var t=this.selectionStart,i=this.value.length;(e.keyCode===n.ui.keyCode.LEFT&&t>0||e.keyCode===n.ui.keyCode.RIGHT&&t<i-1)&&e.stopImmediatePropagation()}function s(e){e.keyCode!==n.ui.keyCode.LEFT&&e.keyCode!==n.ui.keyCode.RIGHT||e.stopImmediatePropagation()}l.DefaultDecimalPlaces=null,l.AllowEmptyValue=!1,t.exports={Editors:{Text:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.getValue=function(){return t.val()},this.setValue=function(e){t.val(e)},this.loadValue=function(n){i=n[e.column.field]||\"\",t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Integer:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid integer\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Float:l,Date:function(e){var t,i,o=!1;this.init=function(){(t=n(\"<INPUT type=text class='editor-text' />\")).appendTo(e.container),t.focus().select(),t.datepicker({showOn:\"button\",buttonImageOnly:!0,beforeShow:function(){o=!0},onClose:function(){o=!1}}),t.width(t.width()-18)},this.destroy=function(){n.datepicker.dpDiv.stop(!0,!0),t.datepicker(\"hide\"),t.datepicker(\"destroy\"),t.remove()},this.show=function(){o&&n.datepicker.dpDiv.stop(!0,!0).show()},this.hide=function(){o&&n.datepicker.dpDiv.stop(!0,!0).hide()},this.position=function(e){o&&n.datepicker.dpDiv.css(\"top\",e.top+30).css(\"left\",e.left)},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},YesNoSelect:function(e){var t,i;this.init=function(){(t=n(\"<SELECT tabIndex='0' class='editor-yesno'><OPTION value='yes'>Yes</OPTION><OPTION value='no'>No</OPTION></SELECT>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){t.val((i=n[e.column.field])?\"yes\":\"no\"),t.select()},this.serializeValue=function(){return\"yes\"==t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return t.val()!=i},this.validate=function(){return{valid:!0,msg:null}},this.init()},Checkbox:function(e){var t,i;this.init=function(){(t=n(\"<INPUT type=checkbox value='true' class='editor-checkbox' hideFocus>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){(i=!!n[e.column.field])?t.prop(\"checked\",!0):t.prop(\"checked\",!1)},this.preClick=function(){t.prop(\"checked\",!t.prop(\"checked\"))},this.serializeValue=function(){return t.prop(\"checked\")},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return this.serializeValue()!==i},this.validate=function(){return{valid:!0,msg:null}},this.init()},PercentComplete:function(e){var t,i,o;this.init=function(){(t=n(\"<INPUT type=text class='editor-percentcomplete' />\")).width(n(e.container).innerWidth()-25),t.appendTo(e.container),(i=n(\"<div class='editor-percentcomplete-picker' />\").appendTo(e.container)).append(\"<div class='editor-percentcomplete-helper'><div class='editor-percentcomplete-wrapper'><div class='editor-percentcomplete-slider' /><div class='editor-percentcomplete-buttons' /></div></div>\"),i.find(\".editor-percentcomplete-buttons\").append(\"<button val=0>Not started</button><br/><button val=50>In Progress</button><br/><button val=100>Complete</button>\"),t.focus().select(),i.find(\".editor-percentcomplete-slider\").slider({orientation:\"vertical\",range:\"min\",value:o,slide:function(e,i){t.val(i.value)}}),i.find(\".editor-percentcomplete-buttons button\").on(\"click\",(function(e){t.val(n(this).attr(\"val\")),i.find(\".editor-percentcomplete-slider\").slider(\"value\",n(this).attr(\"val\"))}))},this.destroy=function(){t.remove(),i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(o=i[e.column.field]),t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==o)&&(parseInt(t.val(),10)||0)!=o},this.validate=function(){return isNaN(parseInt(t.val(),10))?{valid:!1,msg:\"Please enter a valid positive number\"}:{valid:!0,msg:null}},this.init()},LongText:function(e){var t,i,l,a=this;this.init=function(){var o=n(\"body\");e.grid.getOptions().editorCellNavOnLRKeys;i=n(\"<DIV style='z-index:10000;position:absolute;background:white;padding:5px;border:3px solid gray; -moz-border-radius:10px; border-radius:10px;'/>\").appendTo(o),t=n(\"<TEXTAREA hidefocus rows=5 style='background:white;width:250px;height:80px;border:0;outline:0'>\").appendTo(i),n(\"<DIV style='text-align:right'><BUTTON>Save</BUTTON><BUTTON>Cancel</BUTTON></DIV>\").appendTo(i),i.find(\"button:first\").on(\"click\",this.save),i.find(\"button:last\").on(\"click\",this.cancel),t.on(\"keydown\",this.handleKeyDown),a.position(e.position),t.focus().select()},this.handleKeyDown=function(t){if(t.which==o.keyCode.ENTER&&t.ctrlKey)a.save();else if(t.which==o.keyCode.ESCAPE)t.preventDefault(),a.cancel();else if(t.which==o.keyCode.TAB&&t.shiftKey)t.preventDefault(),e.grid.navigatePrev();else if(t.which==o.keyCode.TAB)t.preventDefault(),e.grid.navigateNext();else if((t.which==n.ui.keyCode.LEFT||t.which==n.ui.keyCode.RIGHT)&&e.grid.getOptions().editorCellNavOnLRKeys){var i=this.selectionStart,l=this.value.length;t.keyCode===n.ui.keyCode.LEFT&&0===i&&e.grid.navigatePrev(),t.keyCode===n.ui.keyCode.RIGHT&&i>=l-1&&e.grid.navigateNext()}},this.save=function(){e.commitChanges()},this.cancel=function(){t.val(l),e.cancelChanges()},this.hide=function(){i.hide()},this.show=function(){i.show()},this.position=function(e){i.css(\"top\",e.top-5).css(\"left\",e.left-5)},this.destroy=function(){i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(l=i[e.column.field]),t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==l)&&t.val()!=l},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}}}},\n",
+       "      454: function _(e,n,r){e(445);n.exports={Formatters:{PercentComplete:function(e,n,r,t,c){return null==r||\"\"===r?\"-\":r<50?\"<span style='color:red;font-weight:bold;'>\"+r+\"%</span>\":\"<span style='color:green'>\"+r+\"%</span>\"},PercentCompleteBar:function(e,n,r,t,c){return null==r||\"\"===r?\"\":\"<span class='percent-complete-bar' style='background:\"+(r<30?\"red\":r<70?\"silver\":\"green\")+\";width:\"+r+\"%'></span>\"},YesNo:function(e,n,r,t,c){return r?\"Yes\":\"No\"},Checkmark:function(e,n,r,t,c){return r?\"<img src='../images/tick.png'>\":\"\"},Checkbox:function(e,n,r,t,c){return'<img class=\"slick-edit-preclick\" src=\"../images/'+(r?\"CheckboxY\":\"CheckboxN\")+'.png\">'}}}},\n",
+       "      455: function _(t,o,r){var e=t(443),n=t(445);o.exports={RemoteModel:function(){var t={length:0},o=\"\",r=null,a=1,l=null,i=null,s=new n.Event,u=new n.Event;function f(){for(var o in t)delete t[o];t.length=0}function c(n,f){if(i){i.abort();for(var c=i.fromPage;c<=i.toPage;c++)t[50*c]=void 0}n<0&&(n=0),t.length>0&&(f=Math.min(f,t.length-1));for(var d=Math.floor(n/50),v=Math.floor(f/50);void 0!==t[50*d]&&d<v;)d++;for(;void 0!==t[50*v]&&d<v;)v--;if(d>v||d==v&&void 0!==t[50*d])u.notify({from:n,to:f});else{var m=\"http://octopart.com/api/v3/parts/search?apikey=68b25f31&include[]=short_description&show[]=uid&show[]=manufacturer&show[]=mpn&show[]=brand&show[]=octopart_url&show[]=short_description&q=\"+o+\"&start=\"+50*d+\"&limit=\"+(50*(v-d)+50);null!=r&&(m+=\"&sortby=\"+r+(a>0?\"+asc\":\"+desc\")),null!=l&&clearTimeout(l),l=setTimeout((function(){for(var o=d;o<=v;o++)t[50*o]=null;s.notify({from:n,to:f}),(i=e.jsonp({url:m,callbackParameter:\"callback\",cache:!0,success:h,error:function(){!function(t,o){alert(\"error loading pages \"+t+\" to \"+o)}(d,v)}})).fromPage=d,i.toPage=v}),50)}}function h(o){var r=o.request.start,e=r+o.results.length;t.length=Math.min(parseInt(o.hits),1e3);for(var n=0;n<o.results.length;n++){var a=o.results[n].item;t[r+n]=a,t[r+n].index=r+n}i=null,u.notify({from:r,to:e})}return{data:t,clear:f,isDataLoaded:function(o,r){for(var e=o;e<=r;e++)if(null==t[e]||null==t[e])return!1;return!0},ensureData:c,reloadData:function(o,r){for(var e=o;e<=r;e++)delete t[e];c(o,r)},setSort:function(t,o){r=t,a=o,f()},setSearch:function(t){o=t,f()},onDataLoading:s,onDataLoaded:u}}}},\n",
+       "      456: function _(e,s,t){var a=e(443),o=e(445);s.exports={GroupItemMetadataProvider:function(e){var s,t={checkboxSelect:!1,checkboxSelectCssClass:\"slick-group-select-checkbox\",checkboxSelectPlugin:null,groupCssClass:\"slick-group\",groupTitleCssClass:\"slick-group-title\",totalsCssClass:\"slick-group-totals\",groupFocusable:!0,totalsFocusable:!1,toggleCssClass:\"slick-group-toggle\",toggleExpandedCssClass:\"expanded\",toggleCollapsedCssClass:\"collapsed\",enableExpandCollapse:!0,groupFormatter:function(s,t,a,o,l,c){if(!e.enableExpandCollapse)return l.title;var r=15*l.level+\"px\";return(e.checkboxSelect?'<span class=\"'+e.checkboxSelectCssClass+\" \"+(l.selectChecked?\"checked\":\"unchecked\")+'\"></span>':\"\")+\"<span class='\"+e.toggleCssClass+\" \"+(l.collapsed?e.toggleCollapsedCssClass:e.toggleExpandedCssClass)+\"' style='margin-left:\"+r+\"'></span><span class='\"+e.groupTitleCssClass+\"' level='\"+l.level+\"'>\"+l.title+\"</span>\"},totalsFormatter:function(e,s,t,a,o,l){return a.groupTotalsFormatter&&a.groupTotalsFormatter(o,a,l)||\"\"}};function l(t,l){var c=a(t.target),r=this.getDataItem(l.row);if(r&&r instanceof o.Group&&c.hasClass(e.toggleCssClass)){var n=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:n.top,ignoreDiffsAfter:n.bottom+1}),r.collapsed?this.getData().expandGroup(r.groupingKey):this.getData().collapseGroup(r.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}if(r&&r instanceof o.Group&&c.hasClass(e.checkboxSelectCssClass)){r.selectChecked=!r.selectChecked,c.removeClass(r.selectChecked?\"unchecked\":\"checked\"),c.addClass(r.selectChecked?\"checked\":\"unchecked\");var i=s.getData().mapItemsToRows(r.rows);(r.selectChecked?e.checkboxSelectPlugin.selectRows:e.checkboxSelectPlugin.deSelectRows)(i)}}function c(t,a){if(e.enableExpandCollapse&&t.which==o.keyCode.SPACE){var l=this.getActiveCell();if(l){var c=this.getDataItem(l.row);if(c&&c instanceof o.Group){var r=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:r.top,ignoreDiffsAfter:r.bottom+1}),c.collapsed?this.getData().expandGroup(c.groupingKey):this.getData().collapseGroup(c.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}}}}return e=a.extend(!0,{},t,e),{init:function(e){(s=e).onClick.subscribe(l),s.onKeyDown.subscribe(c)},destroy:function(){s&&(s.onClick.unsubscribe(l),s.onKeyDown.unsubscribe(c))},getGroupRowMetadata:function(s){return{selectable:!1,focusable:e.groupFocusable,cssClasses:e.groupCssClass,columns:{0:{colspan:\"*\",formatter:e.groupFormatter,editor:null}}}},getTotalsRowMetadata:function(s){return{selectable:!1,focusable:e.totalsFocusable,cssClasses:e.totalsCssClass,formatter:e.totalsFormatter,editor:null}}}}}},\n",
+       "      457: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),n=e(458),c=e(98),a=s.__importStar(e(18));class o extends n.Widget{constructor(e){super(e)}static init_TableWidget(){this.define({source:[a.Instance],view:[a.Instance,()=>new c.CDSView]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.source,this.view.compute_indices())}}t.TableWidget=o,o.__name__=\"TableWidget\",o.init_TableWidget()},\n",
+       "      458: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(249),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n",
+       "      459: function _(e,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_data_table=\"bk-data-table\",b.bk_cell_index=\"bk-cell-index\",b.bk_header_index=\"bk-header-index\",b.bk_cell_editor=\"bk-cell-editor\",b.bk_cell_select=\"bk-cell-select\"},\n",
+       "      460: function _(A,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default='\\n.bk-root {\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /* Menu button */\\n  /* Menu */\\n  /* Menu items */\\n  /* Disabled */\\n}\\n.bk-root .slick-header.ui-state-default,\\n.bk-root .slick-headerrow.ui-state-default,\\n.bk-root .slick-footerrow.ui-state-default,\\n.bk-root .slick-top-panel-scroller.ui-state-default {\\n  width: 100%;\\n  overflow: auto;\\n  position: relative;\\n  border-left: 0px !important;\\n}\\n.bk-root .slick-header.ui-state-default {\\n  overflow: inherit;\\n}\\n.bk-root .slick-header::-webkit-scrollbar,\\n.bk-root .slick-headerrow::-webkit-scrollbar,\\n.bk-root .slick-footerrow::-webkit-scrollbar {\\n  display: none;\\n}\\n.bk-root .slick-header-columns,\\n.bk-root .slick-headerrow-columns,\\n.bk-root .slick-footerrow-columns {\\n  position: relative;\\n  white-space: nowrap;\\n  cursor: default;\\n  overflow: hidden;\\n}\\n.bk-root .slick-header-column.ui-state-default {\\n  position: relative;\\n  display: inline-block;\\n  box-sizing: content-box !important;\\n  /* this here only for Firefox! */\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  height: 16px;\\n  line-height: 16px;\\n  margin: 0;\\n  padding: 4px;\\n  border-right: 1px solid silver;\\n  border-left: 0px !important;\\n  border-top: 0px !important;\\n  border-bottom: 0px !important;\\n  float: left;\\n}\\n.bk-root .slick-headerrow-column.ui-state-default,\\n.bk-root .slick-footerrow-column.ui-state-default {\\n  padding: 4px;\\n}\\n.bk-root .slick-header-column-sorted {\\n  font-style: italic;\\n}\\n.bk-root .slick-sort-indicator {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 6px;\\n  float: left;\\n}\\n.bk-root .slick-sort-indicator-numbered {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 0;\\n  line-height: 20px;\\n  float: left;\\n  font-family: Arial;\\n  font-style: normal;\\n  font-weight: bold;\\n  color: #6190CD;\\n}\\n.bk-root .slick-sort-indicator-desc {\\n  background: url(images/sort-desc.gif);\\n}\\n.bk-root .slick-sort-indicator-asc {\\n  background: url(images/sort-asc.gif);\\n}\\n.bk-root .slick-resizable-handle {\\n  position: absolute;\\n  font-size: 0.1px;\\n  display: block;\\n  cursor: col-resize;\\n  width: 9px;\\n  right: -5px;\\n  top: 0;\\n  height: 100%;\\n  z-index: 1;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver;\\n}\\n.bk-root .grid-canvas {\\n  position: relative;\\n  outline: 0;\\n}\\n.bk-root .slick-row.ui-widget-content,\\n.bk-root .slick-row.ui-state-active {\\n  position: absolute;\\n  border: 0px;\\n  width: 100%;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column,\\n.bk-root .slick-footerrow-column {\\n  position: absolute;\\n  border: 1px solid transparent;\\n  border-right: 1px dotted silver;\\n  border-bottom-color: silver;\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  vertical-align: middle;\\n  z-index: 1;\\n  padding: 1px 2px 2px 1px;\\n  margin: 0;\\n  white-space: nowrap;\\n  cursor: default;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column {\\n  border-bottom-color: silver;\\n}\\n.bk-root .slick-footerrow-column {\\n  border-top-color: silver;\\n}\\n.bk-root .slick-group-toggle {\\n  display: inline-block;\\n}\\n.bk-root .slick-cell.highlighted {\\n  background: lightskyblue;\\n  background: rgba(0, 0, 255, 0.2);\\n  -webkit-transition: all 0.5s;\\n  -moz-transition: all 0.5s;\\n  -o-transition: all 0.5s;\\n  transition: all 0.5s;\\n}\\n.bk-root .slick-cell.flashing {\\n  border: 1px solid red !important;\\n}\\n.bk-root .slick-cell.editable {\\n  z-index: 11;\\n  overflow: visible;\\n  background: white;\\n  border-color: black;\\n  border-style: solid;\\n}\\n.bk-root .slick-cell:focus {\\n  outline: none;\\n}\\n.bk-root .slick-reorder-proxy {\\n  display: inline-block;\\n  background: blue;\\n  opacity: 0.15;\\n  cursor: move;\\n}\\n.bk-root .slick-reorder-guide {\\n  display: inline-block;\\n  height: 2px;\\n  background: blue;\\n  opacity: 0.7;\\n}\\n.bk-root .slick-selection {\\n  z-index: 10;\\n  position: absolute;\\n  border: 2px dashed black;\\n}\\n.bk-root .slick-header-columns {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-bottom: 1px solid silver;\\n}\\n.bk-root .slick-header-column {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-right: 1px solid silver;\\n}\\n.bk-root .slick-header-column:hover,\\n.bk-root .slick-header-column-active {\\n  background: white url(\\'images/header-columns-over-bg.gif\\') repeat-x center bottom;\\n}\\n.bk-root .slick-headerrow {\\n  background: #fafafa;\\n}\\n.bk-root .slick-headerrow-column {\\n  background: #fafafa;\\n  border-bottom: 0;\\n  height: 100%;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row {\\n  position: absolute;\\n  background: white;\\n  border: 0px;\\n  line-height: 20px;\\n}\\n.bk-root .slick-row.selected {\\n  z-index: 10;\\n  background: #DFE8F6;\\n}\\n.bk-root .slick-cell {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .slick-group {\\n  border-bottom: 2px solid silver;\\n}\\n.bk-root .slick-group-toggle {\\n  width: 9px;\\n  height: 9px;\\n  margin-right: 5px;\\n}\\n.bk-root .slick-group-toggle.expanded {\\n  background: url(images/collapse.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-toggle.collapsed {\\n  background: url(images/expand.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-totals {\\n  color: gray;\\n  background: white;\\n}\\n.bk-root .slick-group-select-checkbox {\\n  width: 13px;\\n  height: 13px;\\n  margin: 3px 10px 0 0;\\n  display: inline-block;\\n}\\n.bk-root .slick-group-select-checkbox.checked {\\n  background: url(images/GrpCheckboxY.png) no-repeat center center;\\n}\\n.bk-root .slick-group-select-checkbox.unchecked {\\n  background: url(images/GrpCheckboxN.png) no-repeat center center;\\n}\\n.bk-root .slick-cell.selected {\\n  background-color: beige;\\n}\\n.bk-root .slick-cell.active {\\n  border-color: gray;\\n  border-style: solid;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver !important;\\n}\\n.bk-root .slick-row.odd {\\n  background: #fafafa;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row.loading {\\n  opacity: 0.5;\\n}\\n.bk-root .slick-cell.invalid {\\n  border-color: red;\\n  -moz-animation-duration: 0.2s;\\n  -webkit-animation-duration: 0.2s;\\n  -moz-animation-name: slickgrid-invalid-hilite;\\n  -webkit-animation-name: slickgrid-invalid-hilite;\\n}\\n@-moz-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n@-webkit-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n.bk-root .slick-column-name,\\n.bk-root .slick-sort-indicator {\\n  /**\\n   * This makes all \"float:right\" elements after it that spill over to the next line\\n   * display way below the lower boundary of the column thus hiding them.\\n   */\\n  display: inline-block;\\n  float: left;\\n  margin-bottom: 100px;\\n}\\n.bk-root .slick-header-button {\\n  display: inline-block;\\n  float: right;\\n  vertical-align: top;\\n  margin: 1px;\\n  /**\\n  * This makes all \"float:right\" elements after it that spill over to the next line\\n  * display way below the lower boundary of the column thus hiding them.\\n  */\\n  margin-bottom: 100px;\\n  height: 15px;\\n  width: 15px;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-button-hidden {\\n  width: 0;\\n  -webkit-transition: 0.2s width;\\n  -ms-transition: 0.2s width;\\n  transition: 0.2s width;\\n}\\n.bk-root .slick-header-column:hover > .slick-header-button {\\n  width: 15px;\\n}\\n.bk-root .slick-header-menubutton {\\n  position: absolute;\\n  right: 0;\\n  top: 0;\\n  bottom: 0;\\n  width: 14px;\\n  background-repeat: no-repeat;\\n  background-position: left center;\\n  background-image: url(../images/down.gif);\\n  cursor: pointer;\\n  display: none;\\n  border-left: thin ridge silver;\\n}\\n.bk-root .slick-header-column:hover > .slick-header-menubutton,\\n.bk-root .slick-header-column-active .slick-header-menubutton {\\n  display: inline-block;\\n}\\n.bk-root .slick-header-menu {\\n  position: absolute;\\n  display: inline-block;\\n  margin: 0;\\n  padding: 2px;\\n  cursor: default;\\n}\\n.bk-root .slick-header-menuitem {\\n  list-style: none;\\n  margin: 0;\\n  padding: 0;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-menuicon {\\n  display: inline-block;\\n  width: 16px;\\n  height: 16px;\\n  vertical-align: middle;\\n  margin-right: 4px;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .slick-header-menucontent {\\n  display: inline-block;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-header-menuitem-disabled {\\n  color: silver;\\n}\\n.bk-root .slick-columnpicker {\\n  border: 1px solid #718BB7;\\n  background: #f0f0f0;\\n  padding: 6px;\\n  -moz-box-shadow: 2px 2px 2px silver;\\n  -webkit-box-shadow: 2px 2px 2px silver;\\n  box-shadow: 2px 2px 2px silver;\\n  min-width: 150px;\\n  cursor: default;\\n  position: absolute;\\n  z-index: 20;\\n  overflow: auto;\\n  resize: both;\\n}\\n.bk-root .slick-columnpicker > .close {\\n  float: right;\\n}\\n.bk-root .slick-columnpicker .title {\\n  font-size: 16px;\\n  width: 60%;\\n  border-bottom: solid 1px #d6d6d6;\\n  margin-bottom: 10px;\\n}\\n.bk-root .slick-columnpicker li {\\n  list-style: none;\\n  margin: 0;\\n  padding: 0;\\n  background: none;\\n}\\n.bk-root .slick-columnpicker input {\\n  margin: 4px;\\n}\\n.bk-root .slick-columnpicker li a {\\n  display: block;\\n  padding: 4px;\\n  font-weight: bold;\\n}\\n.bk-root .slick-columnpicker li a:hover {\\n  background: white;\\n}\\n.bk-root .slick-pager {\\n  width: 100%;\\n  height: 26px;\\n  border: 1px solid gray;\\n  border-top: 0;\\n  background: url(\\'../images/header-columns-bg.gif\\') repeat-x center bottom;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-status {\\n  display: inline-block;\\n  padding: 6px;\\n}\\n.bk-root .slick-pager .ui-icon-container {\\n  display: inline-block;\\n  margin: 2px;\\n  border-color: gray;\\n}\\n.bk-root .slick-pager .slick-pager-nav {\\n  display: inline-block;\\n  float: left;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings {\\n  display: block;\\n  float: right;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings * {\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-settings a {\\n  padding: 2px;\\n  text-decoration: underline;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-columns {\\n  background-image: url(\"data:image/gif;base64,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\");\\n}\\n.bk-root .slick-header-column {\\n  background-image: url(\"data:image/gif;base64,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\");\\n}\\n.bk-root .slick-header-column:hover,\\n.bk-root .slick-header-column-active {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhAgAWAIcAAKrM9tno++vz/QAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAAAAP8ALAAAAAACABYAAAgUAAUIHEiwoIAACBMqXMhwIQAAAQEAOw==\");\\n}\\n.bk-root .slick-group-toggle.expanded {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhCQAJAPcAAAFGeoCAgNXz/+v5/+v6/+z5/+36//L7//X8//j9/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAACQAJAAAIMwADCBxIUIDBgwIEChgwwECBAgQUFjBAkaJCABgxGlB4AGHCAAIQiBypEEECkScJqgwQEAA7\");\\n}\\n.bk-root .slick-group-toggle.collapsed {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhCQAJAPcAAAFGeoCAgNXz/+v5/+v6/+z5/+36//L7//X8//j9/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAACQAJAAAIOAADCBxIUIDBgwIEChgwAECBAgQUFjAAQIABAwoBaNSIMYCAAwIqGlSIAEHFkiQTIBCgkqDLAAEBADs=\");\\n}\\n.bk-root .slick-group-select-checkbox.checked {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .slick-group-select-checkbox.unchecked {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAA4AAAAOCAIAAACQKrqGAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAOwQAADsEBuJFr7QAAABl0RVh0U29mdHdhcmUAcGFpbnQubmV0IDQuMC4xNkRpr/UAAACXSURBVChT1dIxC4MwEAXg/v8/VOhQVDBNakV0KA6pxS4JhWRSIYPEJxwdDi1de7wleR+3JIf486w0hKCKRpSvvOhZcCmvNQBRuKqdah03U7UjNNH81rOaBYDo8SQaPX8JANFEaLaGBeAPaaY61rGksiN6TmR5H1j9CSoAosYYHLA7vTxYMvVEZa0liif23r93xjm3/oEYF8PiDn/I2FHCAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .slick-sort-indicator-desc {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDQAFAIcAAGGQzUD/QOPu+wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAMAAAEALAAAAAANAAUAAAgeAAUAGEgQgIAACBEKLHgwYcKFBh1KFNhQosOKEgMCADs=\");\\n}\\n.bk-root .slick-sort-indicator-asc {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDQAFAIcAAGGQzUD/QOPu+wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAMAAAEALAAAAAANAAUAAAgbAAMIDABgoEGDABIeRJhQ4cKGEA8KmEiRosGAADs=\");\\n}\\n.bk-root .slick-header-menubutton {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDgAOAIABADtKYwAAACH5BAEAAAEALAAAAAAOAA4AAAISjI+py+0PHZgUsGobhTn6DxoFADs=\");\\n}\\n.bk-root .slick-pager {\\n  background-image: url(\"data:image/gif;base64,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\");\\n}\\n'},\n",
+       "      461: function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default='\\n.bk-root .bk-data-table {\\n  box-sizing: content-box;\\n  font-size: 11px;\\n}\\n.bk-root .bk-data-table input[type=\"checkbox\"] {\\n  margin-left: 4px;\\n  margin-right: 4px;\\n}\\n.bk-root .bk-cell-special-defaults {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n}\\n.bk-root .bk-cell-select {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n}\\n.bk-root .bk-cell-index {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n  text-align: right;\\n  color: gray;\\n}\\n.bk-root .bk-header-index .slick-column-name {\\n  float: right;\\n}\\n.bk-root .slick-row.selected .bk-cell-index {\\n  background-color: transparent;\\n}\\n.bk-root .slick-cell {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .slick-cell.active {\\n  border-style: dashed;\\n}\\n.bk-root .slick-cell.editable {\\n  padding-left: 0;\\n  padding-right: 0;\\n}\\n.bk-root .bk-cell-editor input,\\n.bk-root .bk-cell-editor select {\\n  width: 100%;\\n  height: 100%;\\n  border: 0;\\n  margin: 0;\\n  padding: 0;\\n  outline: 0;\\n  background: transparent;\\n  vertical-align: baseline;\\n}\\n.bk-root .bk-cell-editor input {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .bk-cell-editor-completion {\\n  font-size: 11px;\\n}\\n'},\n",
+       "      462: function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=i.__importDefault(t(159)),a=i.__importStar(t(161)),n=t(463),s=i.__importStar(t(18)),c=t(68),l=t(8),m=t(71);class _ extends m.Model{constructor(t){super(t)}doFormat(t,e,r,i,o){return null==r?\"\":(r+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}}r.CellFormatter=_,_.__name__=\"CellFormatter\";class u extends _{constructor(t){super(t)}static init_StringFormatter(){this.define({font_style:[s.FontStyle,\"normal\"],text_align:[s.TextAlign,\"left\"],text_color:[s.Color]})}doFormat(t,e,r,i,o){const{font_style:a,text_align:n,text_color:s}=this,l=c.div({},null==r?\"\":\"\"+r);switch(a){case\"bold\":l.style.fontWeight=\"bold\";break;case\"italic\":l.style.fontStyle=\"italic\"}return null!=n&&(l.style.textAlign=n),null!=s&&(l.style.color=s),l.outerHTML}}r.StringFormatter=u,u.__name__=\"StringFormatter\",u.init_StringFormatter();class F extends u{constructor(t){super(t)}static init_ScientificFormatter(){this.define({precision:[s.Number,10],power_limit_high:[s.Number,5],power_limit_low:[s.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}doFormat(t,e,r,i,o){const a=r<=this.scientific_limit_low||r>=this.scientific_limit_high;let n=this.precision;return n<1&&(n=1),r=a?r.toExponential(n):r.toFixed(n).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"),super.doFormat(t,e,r,i,o)}}r.ScientificFormatter=F,F.__name__=\"ScientificFormatter\",F.init_ScientificFormatter();class d extends u{constructor(t){super(t)}static init_NumberFormatter(){this.define({format:[s.String,\"0,0\"],language:[s.String,\"en\"],rounding:[s.RoundingFunction,\"round\"]})}doFormat(t,e,r,i,o){const{format:n,language:s}=this,c=(()=>{switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}})();return r=a.format(r,n,s,c),super.doFormat(t,e,r,i,o)}}r.NumberFormatter=d,d.__name__=\"NumberFormatter\",d.init_NumberFormatter();class g extends _{constructor(t){super(t)}static init_BooleanFormatter(){this.define({icon:[s.String,\"check\"]})}doFormat(t,e,r,i,o){return r?c.i({class:this.icon}).outerHTML:\"\"}}r.BooleanFormatter=g,g.__name__=\"BooleanFormatter\",g.init_BooleanFormatter();class p extends _{constructor(t){super(t)}static init_DateFormatter(){this.define({format:[s.String,\"ISO-8601\"]})}getFormat(){switch(this.format){case\"ATOM\":case\"W3C\":case\"RFC-3339\":case\"ISO-8601\":return\"%Y-%m-%d\";case\"COOKIE\":return\"%a, %d %b %Y\";case\"RFC-850\":return\"%A, %d-%b-%y\";case\"RFC-1123\":case\"RFC-2822\":return\"%a, %e %b %Y\";case\"RSS\":case\"RFC-822\":case\"RFC-1036\":return\"%a, %e %b %y\";case\"TIMESTAMP\":return;default:return this.format}}doFormat(t,e,r,i,a){r=l.isString(r)?parseInt(r,10):r;const n=o.default(r,this.getFormat());return super.doFormat(t,e,n,i,a)}}r.DateFormatter=p,p.__name__=\"DateFormatter\",p.init_DateFormatter();class h extends _{constructor(t){super(t)}static init_HTMLTemplateFormatter(){this.define({template:[s.String,\"<%= value %>\"]})}doFormat(t,e,r,i,o){const{template:a}=this;if(null==r)return\"\";return n._.template(a)(Object.assign(Object.assign({},o),{value:r}))}}r.HTMLTemplateFormatter=h,h.__name__=\"HTMLTemplateFormatter\",h.init_HTMLTemplateFormatter()},\n",
+       "      463: function _(e,n,t){var f=e(464),i=f.template;function o(e,n,t){return i(e,n,t)}o._=f,n.exports=o,\"function\"==typeof define&&define.amd?define((function(){return o})):\"undefined\"==typeof window&&\"undefined\"==typeof navigator||(window.UnderscoreTemplate=o)},\n",
+       "      464: function _(r,e,n){\n",
+       "      //     (c) 2009-2013 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
+       "      //     Underscore may be freely distributed under the MIT license.\n",
+       "      var t={},a=Array.prototype,u=Object.prototype,c=a.slice,o=u.toString,l=u.hasOwnProperty,i=a.forEach,f=Object.keys,s=Array.isArray,p=function(){},_=p.each=p.forEach=function(r,e,n){if(null!=r)if(i&&r.forEach===i)r.forEach(e,n);else if(r.length===+r.length){for(var a=0,u=r.length;a<u;a++)if(e.call(n,r[a],a,r)===t)return}else{var c=p.keys(r);for(a=0,u=c.length;a<u;a++)if(e.call(n,r[c[a]],c[a],r)===t)return}};p.keys=f||function(r){if(r!==Object(r))throw new TypeError(\"Invalid object\");var e=[];for(var n in r)p.has(r,n)&&e.push(n);return e},p.defaults=function(r){return _(c.call(arguments,1),(function(e){if(e)for(var n in e)void 0===r[n]&&(r[n]=e[n])})),r},p.isArray=s||function(r){return\"[object Array]\"===o.call(r)},p.has=function(r,e){if(!p.isArray(e))return null!=r&&l.call(r,e);for(var n=e.length,t=0;t<n;t++){var a=e[t];if(null==r||!l.call(r,a))return!1;r=r[a]}return!!n};var h={escape:{\"&\":\"&amp;\",\"<\":\"&lt;\",\">\":\"&gt;\",'\"':\"&quot;\",\"'\":\"&#x27;\"}},v={escape:new RegExp(\"[\"+p.keys(h.escape).join(\"\")+\"]\",\"g\")};p.each([\"escape\"],(function(r){p[r]=function(e){return null==e?\"\":(\"\"+e).replace(v[r],(function(e){return h[r][e]}))}})),p.templateSettings={evaluate:/<%([\\s\\S]+?)%>/g,interpolate:/<%=([\\s\\S]+?)%>/g,escape:/<%-([\\s\\S]+?)%>/g};var g=/(.)^/,y={\"'\":\"'\",\"\\\\\":\"\\\\\",\"\\r\":\"r\",\"\\n\":\"n\",\"\\t\":\"t\",\"\\u2028\":\"u2028\",\"\\u2029\":\"u2029\"},j=/\\\\|'|\\r|\\n|\\t|\\u2028|\\u2029/g;p.template=function(r,e,n){var t;n=p.defaults({},n,p.templateSettings);var a=new RegExp([(n.escape||g).source,(n.interpolate||g).source,(n.evaluate||g).source].join(\"|\")+\"|$\",\"g\"),u=0,c=\"__p+='\";r.replace(a,(function(e,n,t,a,o){return c+=r.slice(u,o).replace(j,(function(r){return\"\\\\\"+y[r]})),n&&(c+=\"'+\\n((__t=(\"+n+\"))==null?'':_.escape(__t))+\\n'\"),t&&(c+=\"'+\\n((__t=(\"+t+\"))==null?'':__t)+\\n'\"),a&&(c+=\"';\\n\"+a+\"\\n__p+='\"),u=o+e.length,e})),c+=\"';\\n\",n.variable||(c=\"with(obj||{}){\\n\"+c+\"}\\n\"),c=\"var __t,__p='',__j=Array.prototype.join,print=function(){__p+=__j.call(arguments,'');};\\n\"+c+\"return __p;\\n\";try{t=new Function(n.variable||\"obj\",\"_\",c)}catch(r){throw r.source=c,r}if(e)return t(e,p);var o=function(r){return t.call(this,r,p)};return o.source=\"function(\"+(n.variable||\"obj\")+\"){\\n\"+c+\"}\",o},e.exports=p},\n",
+       "      465: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),o=t(462),n=t(440),l=r.__importStar(t(18)),a=t(24),d=t(71);class s extends d.Model{constructor(t){super(t)}static init_TableColumn(){this.define({field:[l.String],title:[l.String],width:[l.Number,300],formatter:[l.Instance,()=>new o.StringFormatter],editor:[l.Instance,()=>new n.StringEditor],sortable:[l.Boolean,!0],default_sort:[l.Sort,\"ascending\"]})}toColumn(){var t;return{id:a.uniqueId(),field:this.field,name:null!==(t=this.title)&&void 0!==t?t:this.field,width:this.width,formatter:null!=this.formatter?this.formatter.doFormat.bind(this.formatter):void 0,model:this.editor,editor:this.editor.default_view,sortable:this.sortable,defaultSortAsc:\"ascending\"==this.default_sort}}}i.TableColumn=s,s.__name__=\"TableColumn\",s.init_TableColumn()},\n",
+       "      466: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=t(1),a=t(448),{Avg:i,Min:o,Max:g,Sum:n}=a.Data.Aggregators,u=r.__importStar(t(18)),c=t(71);class _ extends c.Model{constructor(t){super(t)}static init_RowAggregator(){this.define({field_:[u.String,\"\"]})}}s.RowAggregator=_,_.__name__=\"RowAggregator\",_.init_RowAggregator();const l=new i;class m extends _{constructor(){super(...arguments),this.key=\"avg\",this.init=l.init,this.accumulate=l.accumulate,this.storeResult=l.storeResult}}s.AvgAggregator=m,m.__name__=\"AvgAggregator\";const h=new o;class A extends _{constructor(){super(...arguments),this.key=\"min\",this.init=h.init,this.accumulate=h.accumulate,this.storeResult=h.storeResult}}s.MinAggregator=A,A.__name__=\"MinAggregator\";const R=new g;class d extends _{constructor(){super(...arguments),this.key=\"max\",this.init=R.init,this.accumulate=R.accumulate,this.storeResult=R.storeResult}}s.MaxAggregator=d,d.__name__=\"MaxAggregator\";const x=new n;class w extends _{constructor(){super(...arguments),this.key=\"sum\",this.init=x.init,this.accumulate=x.accumulate,this.storeResult=x.storeResult}}s.SumAggregator=w,w.__name__=\"SumAggregator\"},\n",
+       "      467: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1).__importStar(t(18)),r=t(68),i=t(448),a=t(441),n=t(71);function l(t,e,s,o,i){const{collapsed:a,level:n,title:l}=i,u=r.span({class:\"slick-group-toggle \"+(a?\"collapsed\":\"expanded\"),style:{\"margin-left\":15*n+\"px\"}}),g=r.span({class:\"slick-group-title\",level:n},l);return`${u.outerHTML}${g.outerHTML}`}function u(t,e){const s=this.getDataItem(e.row);s instanceof i.Group&&t.target.classList.contains(\"slick-group-toggle\")&&(s.collapsed?this.getData().expandGroup(s.groupingKey):this.getData().collapseGroup(s.groupingKey),t.stopImmediatePropagation(),t.preventDefault(),this.invalidate(),this.render())}class g extends n.Model{constructor(t){super(t)}static init_GroupingInfo(){this.define({getter:[o.String,\"\"],aggregators:[o.Array,[]],collapsed:[o.Boolean,!1]})}get comparer(){return(t,e)=>t.value===e.value?0:t.value>e.value?1:-1}}s.GroupingInfo=g,g.__name__=\"GroupingInfo\",g.init_GroupingInfo();class c extends a.TableDataProvider{constructor(t,e,s,o){super(t,e),this.columns=s,this.groupingInfos=[],this.groupingDelimiter=\":|:\",this.target=o}setGrouping(t){this.groupingInfos=t,this.toggledGroupsByLevel=t.map(()=>({})),this.refresh()}extractGroups(t,e){const s=[],o=new Map,r=e?e.level+1:0,{comparer:a,getter:n}=this.groupingInfos[r];return t.forEach(t=>{const a=this.source.data[n][t];let l=o.get(a);if(!l){const t=e?`${e.groupingKey}${this.groupingDelimiter}${a}`:\"\"+a;l=Object.assign(new i.Group,{value:a,level:r,groupingKey:t}),s.push(l),o.set(a,l)}l.rows.push(t)}),r<this.groupingInfos.length-1&&s.forEach(t=>{t.groups=this.extractGroups(t.rows,t)}),s.sort(a),s}calculateTotals(t,e){const s={avg:{},max:{},min:{},sum:{}},{source:{data:o}}=this,r=Object.keys(o),i=t.rows.map(t=>r.reduce((e,s)=>Object.assign(Object.assign({},e),{[s]:o[s][t]}),{}));return e.forEach(t=>{t.init(),i.forEach(e=>t.accumulate(e)),t.storeResult(s)}),s}addTotals(t,e=0){const{aggregators:s,collapsed:o}=this.groupingInfos[e],r=this.toggledGroupsByLevel[e];t.forEach(t=>{t.groups&&this.addTotals(t.groups,e+1),s.length&&t.rows.length&&(t.totals=this.calculateTotals(t,s)),t.collapsed=o!==r[t.groupingKey],t.title=t.value?\"\"+t.value:\"\"})}flattenedGroupedRows(t,e=0){const s=[];return t.forEach(t=>{if(s.push(t),!t.collapsed){const o=t.groups?this.flattenedGroupedRows(t.groups,e+1):t.rows;s.push(...o)}}),s}refresh(){const t=this.extractGroups(this.view.indices),e=this.source.data[this.columns[0].field];t.length&&(this.addTotals(t),this.rows=this.flattenedGroupedRows(t),this.target.data={row_indices:this.rows.map(t=>t instanceof i.Group?t.rows:t),labels:this.rows.map(t=>t instanceof i.Group?t.title:e[t])})}getLength(){return this.rows.length}getItem(t){const e=this.rows[t],{source:{data:s}}=this;return e instanceof i.Group?e:Object.keys(s).reduce((t,o)=>Object.assign(Object.assign({},t),{[o]:s[o][e]}),{[a.DTINDEX_NAME]:e})}getItemMetadata(t){const e=this.rows[t],s=this.columns.slice(1),o=e instanceof i.Group?this.groupingInfos[e.level].aggregators:[];return e instanceof i.Group?{selectable:!1,focusable:!1,cssClasses:\"slick-group\",columns:[{formatter:l},...s.map((function(t){const{field:e,formatter:s}=t,r=o.find(({field_:t})=>t===e);if(r){const{key:t}=r;return{formatter:(o,r,i,a,n)=>s?s(o,r,n.totals[t][e],a,n):\"\"}}return{}}))]}:{}}collapseGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=!this.groupingInfos[e].collapsed,this.refresh()}expandGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=this.groupingInfos[e].collapsed,this.refresh()}}s.DataCubeProvider=c,c.__name__=\"DataCubeProvider\";class p extends a.DataTableView{render(){const t={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:!1,forceFitColumns:this.model.fit_columns,multiColumnSort:!1,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height},e=this.model.columns.map(t=>t.toColumn());var s,o;e[0].formatter=(s=e[0].formatter,o=this.model.grouping.length,(t,e,i,a,n)=>{const l=r.span({class:\"slick-group-toggle\",style:{\"margin-left\":15*(o||0)+\"px\"}}),u=s?s(t,e,i,a,n):\"\"+i;return`${l.outerHTML}${u&&u.replace(/^<div/,\"<span\").replace(/div>$/,\"span>\")}`}),delete e[0].editor,this.data=new c(this.model.source,this.model.view,e,this.model.target),this.data.setGrouping(this.model.grouping),this.el.style.width=this.model.width+\"px\",this.grid=new i.Grid(this.el,this.data,e,t),this.grid.onClick.subscribe(u)}}s.DataCubeView=p,p.__name__=\"DataCubeView\";class h extends a.DataTable{constructor(t){super(t)}static init_DataCube(){this.prototype.default_view=p,this.define({grouping:[o.Array,[]],target:[o.Instance]})}}s.DataCube=h,h.__name__=\"DataCube\",h.init_DataCube()},\n",
+       "      }, 438, {\"models/widgets/tables/main\":438,\"models/widgets/tables/index\":439,\"models/widgets/tables/cell_editors\":440,\"models/widgets/tables/data_table\":441,\"models/widgets/tables/table_widget\":457,\"models/widgets/widget\":458,\"styles/widgets/tables\":459,\"styles/widgets/slickgrid.css\":460,\"styles/widgets/tables.css\":461,\"models/widgets/tables/cell_formatters\":462,\"models/widgets/tables/table_column\":465,\"models/widgets/tables/row_aggregators\":466,\"models/widgets/tables/data_cube\":467}, {});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END bokeh-tables.min.js */\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN bokeh-gl.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        factory(root[\"Bokeh\"], \"2.1.1\");\n",
+       "      })(this, function(Bokeh, version) {\n",
+       "        var define;\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
+       "          if (bokeh != null) {\n",
+       "            return bokeh.register_plugin(modules, entry, aliases);\n",
+       "          } else {\n",
+       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
+       "          }\n",
+       "        })\n",
+       "      ({\n",
+       "      370: function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(371)},\n",
+       "      371: function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);\n",
+       "      /*\n",
+       "          Copyright notice: many of the awesome techniques and  GLSL code contained in\n",
+       "          this module are based on work by Nicolas Rougier as part of the Glumpy and\n",
+       "          Vispy projects. The algorithms are published in\n",
+       "          http://jcgt.org/published/0003/04/01/ and http://jcgt.org/published/0002/02/08/\n",
+       "          \n",
+       "          This module contains all gl-specific code to add gl support for the glyphs.\n",
+       "          By implementing it separetely, the GL functionality can be spun off in a\n",
+       "          separate library.\n",
+       "          Other locations where we work with GL, or prepare for GL-rendering:\n",
+       "          - canvas.ts\n",
+       "          - plot.ts\n",
+       "          - glyph.ts\n",
+       "          - glyph_renderer.ts\n",
+       "          */o.__exportStar(e(372),_),o.__exportStar(e(377),_)},\n",
+       "      372: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(373),a=t(374),n=t(375),_=t(376),o=t(20);class h{constructor(t){this._atlas={},this._index=0,this._width=256,this._height=256,this.tex=new i.Texture2D(t),this.tex.set_wrapping(t.REPEAT,t.REPEAT),this.tex.set_interpolation(t.NEAREST,t.NEAREST),this.tex.set_size([this._height,this._width],t.RGBA),this.tex.set_data([0,0],[this._height,this._width],new Uint8Array(this._height*this._width*4)),this.get_atlas_data([1])}get_atlas_data(t){const e=t.join(\"-\");if(void 0===this._atlas[e]){const[s,i]=this.make_pattern(t);this.tex.set_data([this._index,0],[1,this._width],new Uint8Array(s.map(t=>t+10))),this._atlas[e]=[this._index/this._height,i],this._index+=1}return this._atlas[e]}make_pattern(t){t.length>1&&t.length%2&&(t=t.concat(t));let e=0;for(const s of t)e+=s;const s=[];let i=0;for(let e=0,a=t.length+2;e<a;e+=2){const a=Math.max(1e-4,t[e%t.length]),n=Math.max(1e-4,t[(e+1)%t.length]);s.push(i,i+a),i+=a+n}const a=this._width,n=new Float32Array(4*a);for(let t=0,i=a;t<i;t++){let i,_,o;const h=e*t/(a-1);let r=0,l=1e16;for(let t=0,e=s.length;t<e;t++){const e=Math.abs(s[t]-h);e<l&&(r=t,l=e)}r%2==0?(o=h<=s[r]?1:0,_=s[r],i=s[r+1]):(o=h>s[r]?-1:0,_=s[r-1],i=s[r]),n[4*t+0]=s[r],n[4*t+1]=o,n[4*t+2]=_,n[4*t+3]=i}return[n,e]}}h.__name__=\"DashAtlas\";const r={miter:0,round:1,bevel:2},l={\"\":0,none:0,\".\":0,round:1,\")\":1,\"(\":1,o:1,\"triangle in\":2,\"<\":2,\"triangle out\":3,\">\":3,square:4,\"[\":4,\"]\":4,\"=\":4,butt:5,\"|\":5};class g extends a.BaseGLGlyph{init(){const{gl:t}=this;this._scale_aspect=0;const e=n.vertex_shader,s=_.fragment_shader;this.prog=new i.Program(t),this.prog.set_shaders(e,s),this.index_buffer=new i.IndexBuffer(t),this.vbo_position=new i.VertexBuffer(t),this.vbo_tangents=new i.VertexBuffer(t),this.vbo_segment=new i.VertexBuffer(t),this.vbo_angles=new i.VertexBuffer(t),this.vbo_texcoord=new i.VertexBuffer(t),this.dash_atlas=new h(t)}draw(t,e,s){const i=e.glglyph;if(i.data_changed){if(!isFinite(s.dx)||!isFinite(s.dy))return;i._baked_offset=[s.dx,s.dy],i._set_data(),i.data_changed=!1}this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);let{sx:a,sy:n}=s;const _=Math.sqrt(a*a+n*n);a/=_,n/=_,Math.abs(this._scale_aspect-n/a)>Math.abs(.001*this._scale_aspect)&&(i._update_scale(a,n),this._scale_aspect=n/a),this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord),this.prog.set_uniform(\"u_length\",\"float\",[i.cumsum]),this.prog.set_texture(\"u_dash_atlas\",this.dash_atlas.tex);const o=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[s.dx-o[0],s.dy-o[1]]),this.prog.set_uniform(\"u_scale_aspect\",\"vec2\",[a,n]),this.prog.set_uniform(\"u_scale_length\",\"float\",[_]),this.I_triangles=i.I_triangles,this.I_triangles.length<65535)this.index_buffer.set_size(2*this.I_triangles.length),this.index_buffer.set_data(0,new Uint16Array(this.I_triangles)),this.prog.draw(this.gl.TRIANGLES,this.index_buffer);else{t=Array.from(this.I_triangles);const e=this.I_triangles.length,s=64008,a=[];for(let t=0,i=Math.ceil(e/s);t<i;t++)a.push([]);for(let e=0,i=t.length;e<i;e++){const i=t[e]%s;a[Math.floor(t[e]/s)].push(i)}for(let t=0,e=a.length;t<e;t++){const e=new Uint16Array(a[t]),n=t*s*4;0!==e.length&&(this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position,0,2*n),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents,0,4*n),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment,0,2*n),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles,0,2*n),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord,0,2*n),this.index_buffer.set_size(2*e.length),this.index_buffer.set_data(0,e),this.prog.draw(this.gl.TRIANGLES,this.index_buffer))}}}_set_data(){this._bake(),this.vbo_position.set_size(4*this.V_position.length),this.vbo_position.set_data(0,this.V_position),this.vbo_tangents.set_size(4*this.V_tangents.length),this.vbo_tangents.set_data(0,this.V_tangents),this.vbo_angles.set_size(4*this.V_angles.length),this.vbo_angles.set_data(0,this.V_angles),this.vbo_texcoord.set_size(4*this.V_texcoord.length),this.vbo_texcoord.set_data(0,this.V_texcoord)}_set_visuals(){const t=o.color2rgba(this.glyph.visuals.line.line_color.value(),this.glyph.visuals.line.line_alpha.value()),e=l[this.glyph.visuals.line.line_cap.value()],s=r[this.glyph.visuals.line.line_join.value()];this.prog.set_uniform(\"u_color\",\"vec4\",t),this.prog.set_uniform(\"u_linewidth\",\"float\",[this.glyph.visuals.line.line_width.value()]),this.prog.set_uniform(\"u_antialias\",\"float\",[.9]),this.prog.set_uniform(\"u_linecaps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_linejoin\",\"float\",[s]),this.prog.set_uniform(\"u_miter_limit\",\"float\",[10]);const i=this.glyph.visuals.line.line_dash.value();let a=0,n=1;i.length&&([a,n]=this.dash_atlas.get_atlas_data(i)),this.prog.set_uniform(\"u_dash_index\",\"float\",[a]),this.prog.set_uniform(\"u_dash_phase\",\"float\",[this.glyph.visuals.line.line_dash_offset.value()]),this.prog.set_uniform(\"u_dash_period\",\"float\",[n]),this.prog.set_uniform(\"u_dash_caps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_closed\",\"float\",[0])}_bake(){let t,e,s,i,a,n,_,o;const h=this.nvertices,r=new Float64Array(this.glyph._x),l=new Float64Array(this.glyph._y),g=_=new Float32Array(2*h),f=new Float32Array(2*h),u=o=new Float32Array(4*h);for(let t=0,e=h;t<e;t++)g[2*t+0]=r[t]+this._baked_offset[0],g[2*t+1]=l[t]+this._baked_offset[1];this.tangents=e=new Float32Array(2*h-2);for(let t=0,s=h-1;t<s;t++)e[2*t+0]=_[2*(t+1)+0]-_[2*t+0],e[2*t+1]=_[2*(t+1)+1]-_[2*t+1];for(let t=0,s=h-1;t<s;t++)u[4*(t+1)+0]=e[2*t+0],u[4*(t+1)+1]=e[2*t+1],u[4*t+2]=e[2*t+0],u[4*t+3]=e[2*t+1];u[0]=e[0],u[1]=e[1],u[4*(h-1)+2]=e[2*(h-2)+0],u[4*(h-1)+3]=e[2*(h-2)+1];const c=new Float32Array(h);for(let t=0,e=h;t<e;t++)c[t]=Math.atan2(o[4*t+0]*o[4*t+3]-o[4*t+1]*o[4*t+2],o[4*t+0]*o[4*t+2]+o[4*t+1]*o[4*t+3]);for(let t=0,e=h-1;t<e;t++)f[2*t+0]=c[t],f[2*t+1]=c[t+1];const d=4*h-4;this.V_position=i=new Float32Array(2*d),this.V_angles=s=new Float32Array(2*d),this.V_tangents=a=new Float32Array(4*d),this.V_texcoord=n=new Float32Array(2*d);for(let t=0,e=h;t<e;t++)for(let e=0;e<4;e++){for(let a=0;a<2;a++)i[2*(4*t+e-2)+a]=g[2*t+a],s[2*(4*t+e)+a]=f[2*t+a];for(let s=0;s<4;s++)a[4*(4*t+e-2)+s]=u[4*t+s]}for(let t=0,e=h;t<e;t++)n[2*(4*t+0)+0]=-1,n[2*(4*t+1)+0]=-1,n[2*(4*t+2)+0]=1,n[2*(4*t+3)+0]=1,n[2*(4*t+0)+1]=-1,n[2*(4*t+1)+1]=1,n[2*(4*t+2)+1]=-1,n[2*(4*t+3)+1]=1;const p=6*(h-1);this.I_triangles=t=new Uint32Array(p);for(let e=0,s=h;e<s;e++)t[6*e+0]=0+4*e,t[6*e+1]=1+4*e,t[6*e+2]=3+4*e,t[6*e+3]=2+4*e,t[6*e+4]=0+4*e,t[6*e+5]=3+4*e}_update_scale(t,e){let s;const i=this.nvertices,a=4*i-4,n=this.tangents,_=new Float32Array(i-1),o=new Float32Array(2*i);this.V_segment=s=new Float32Array(2*a);for(let s=0,a=i-1;s<a;s++)_[s]=Math.sqrt((n[2*s+0]*t)**2+(n[2*s+1]*e)**2);let h=0;for(let t=0,e=i-1;t<e;t++)h+=_[t],o[2*(t+1)+0]=h,o[2*t+1]=h;for(let t=0,e=i;t<e;t++)for(let e=0;e<4;e++)for(let i=0;i<2;i++)s[2*(4*t+e)+i]=o[2*t+i];this.cumsum=h,this.vbo_segment.set_size(4*this.V_segment.length),this.vbo_segment.set_data(0,this.V_segment)}}s.LineGLGlyph=g,g.__name__=\"LineGLGlyph\"},\n",
+       "      373: function _(t,e,r){var n,o,i,a,s,l,h,u,c,_=function(t,e){return Array.isArray(t)&&Array.isArray(e)?t.concat(e):t+e},f=function(t,e){if(null==e);else{if(Array.isArray(e)){for(var r=0;r<e.length;r++)if(p(t,e[r]))return!0;return!1}if(e.constructor===Object){for(var n in e)if(t==n)return!0;return!1}if(e.constructor==String)return e.indexOf(t)>=0}var o=Error(\"Not a container: \"+e);throw o.name=\"TypeError\",o},p=function t(e,r){if(null==e||null==r);else{if(Array.isArray(e)&&Array.isArray(r)){for(var n=0,o=e.length==r.length;o&&n<e.length;)o=t(e[n],r[n]),n+=1;return o}if(e.constructor===Object&&r.constructor===Object){var i=Object.keys(e),a=Object.keys(r);i.sort(),a.sort();var s;for(n=0,o=t(i,a);o&&n<i.length;)o=t(e[s=i[n]],r[s]),n+=1;return o}}return e==r},d=function(t,e){if(void 0===t||\"undefined\"!=typeof window&&window===t||\"undefined\"!=typeof global&&global===t)throw\"Class constructor is called as a function.\";for(var r in t)void 0!==Object[r]||\"function\"!=typeof t[r]||t[r].nobind||(t[r]=t[r].bind(t));t.__init__&&t.__init__.apply(t,e)},y=function(t,e){if((\"number\"==typeof t)+(\"number\"==typeof e)===1){if(t.constructor===String)return A.call(t,e);if(e.constructor===String)return A.call(e,t);if(Array.isArray(e)){var r=t;t=e,e=r}if(Array.isArray(t)){for(var n=[],o=0;o<e;o++)n=n.concat(t);return n}}return t*e},g=function(t){return null===t||\"object\"!=typeof t?t:void 0!==t.length?!!t.length&&t:void 0!==t.byteLength?!!t.byteLength&&t:t.constructor!==Object||!!Object.getOwnPropertyNames(t).length&&t},v=function(t){if(!Array.isArray(this))return this.append.apply(this,arguments);this.push(t)},m=function(t,e){return this.constructor!==Object?this.get.apply(this,arguments):void 0!==this[t]?this[t]:void 0!==e?e:null},x=function(){return\"function\"==typeof this.keys?this.keys.apply(this,arguments):Object.keys(this)},b=function(t){if(this.constructor!==String)return this.lstrip.apply(this,arguments);t=void 0===t?\" \\t\\r\\n\":t;for(var e=0;e<this.length;e++)if(t.indexOf(this[e])<0)return this.slice(e);return\"\"},E=function(t){if(!Array.isArray(this))return this.remove.apply(this,arguments);for(var e=0;e<this.length;e++)if(p(this[e],t))return void this.splice(e,1);var r=Error(t);throw r.name=\"ValueError\",r},A=function(t){if(this.repeat)return this.repeat(t);if(t<1)return\"\";for(var e=\"\",r=this.valueOf();t>1;)1&t&&(e+=r),t>>=1,r+=r;return e+r},w=function(t){return this.constructor!==String?this.startswith.apply(this,arguments):0==this.indexOf(t)};c=window.console,u=function(t,e){var r,n,o,i,a,s,l;for(e=void 0===e?\"periodic check\":e,i=[];n=t.getError(),!(p(n,t.NO_ERROR)||g(i)&&p(n,i[i.length-1]));)v.call(i,n);if(i.length){for(a=\"\",\"object\"!=typeof(s=i)||Array.isArray(s)||(s=Object.keys(s)),l=0;l<s.length;l+=1)r=s[l],a=_(a,r);throw(o=new Error(\"RuntimeError:OpenGL got errors (\"+e+\"): \"+a)).name=\"RuntimeError\",o}return null},(o=function(){d(this,arguments)}).prototype._base_class=Object,o.prototype._class_name=\"GlooObject\",o.prototype.__init__=function(t){if(this._gl=t,this.handle=null,this._create(),null===this.handle)throw\"AssertionError: this.handle !== null\";return null},o.prototype._create=function(){var t;throw(t=new Error(\"NotImplementedError:\")).name=\"NotImplementedError\",t},((a=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,a.prototype._class_name=\"Program\",a.prototype.UTYPEMAP={float:\"uniform1fv\",vec2:\"uniform2fv\",vec3:\"uniform3fv\",vec4:\"uniform4fv\",int:\"uniform1iv\",ivec2:\"uniform2iv\",ivec3:\"uniform3iv\",ivec4:\"uniform4iv\",bool:\"uniform1iv\",bvec2:\"uniform2iv\",bvec3:\"uniform3iv\",bvec4:\"uniform4iv\",mat2:\"uniformMatrix2fv\",mat3:\"uniformMatrix3fv\",mat4:\"uniformMatrix4fv\",sampler1D:\"uniform1i\",sampler2D:\"uniform1i\",sampler3D:\"uniform1i\"},a.prototype.ATYPEMAP={float:\"vertexAttrib1f\",vec2:\"vertexAttrib2f\",vec3:\"vertexAttrib3f\",vec4:\"vertexAttrib4f\"},a.prototype.ATYPEINFO={float:[1,5126],vec2:[2,5126],vec3:[3,5126],vec4:[4,5126]},a.prototype._create=function(){return this.handle=this._gl.createProgram(),this.locations={},this._unset_variables=[],this._validated=!1,this._samplers={},this._attributes={},this._known_invalid=[],null},a.prototype.delete=function(){return this._gl.deleteProgram(this.handle),null},a.prototype.activate=function(){return this._gl.useProgram(this.handle),null},a.prototype.deactivate=function(){return this._gl.useProgram(0),null},a.prototype.set_shaders=function(t,e){var r,n,o,i,a,s,l,h,u,c,f,p,d;for(s=this._gl,this._linked=!1,f=[[t,d=s.createShader(s.VERTEX_SHADER),\"vertex\"],[e,a=s.createShader(s.FRAGMENT_SHADER),\"fragment\"]],h=0;h<2;h+=1)if(r=(c=f[h])[0],l=c[1],p=c[2],s.shaderSource(l,r),s.compileShader(l),u=s.getShaderParameter(l,s.COMPILE_STATUS),!g(u))throw i=s.getShaderInfoLog(l),(o=new Error(\"RuntimeError:\"+_(\"errors in \"+p+\" shader:\\n\",i))).name=\"RuntimeError\",o;if(s.attachShader(this.handle,d),s.attachShader(this.handle,a),s.linkProgram(this.handle),!g(s.getProgramParameter(this.handle,s.LINK_STATUS)))throw(n=new Error(\"RuntimeError:Program link error:\\n\"+s.getProgramInfoLog(this.handle))).name=\"RuntimeError\",n;return this._unset_variables=this._get_active_attributes_and_uniforms(),s.detachShader(this.handle,d),s.detachShader(this.handle,a),s.deleteShader(d),s.deleteShader(a),this._known_invalid=[],this._linked=!0,null},a.prototype._get_active_attributes_and_uniforms=function(){var t,e,r,n,o,i,a,s,l,h,u,c,f,p,d,y,m,x;for(s=this._gl,this.locations={},p=new window.RegExp(\"(\\\\w+)\\\\s*(\\\\[(\\\\d+)\\\\])\\\\s*\"),o=s.getProgramParameter(this.handle,s.ACTIVE_UNIFORMS),e=s.getProgramParameter(this.handle,s.ACTIVE_ATTRIBUTES),x=[],\"object\"!=typeof(y=[[t=[],e,s.getActiveAttrib,s.getAttribLocation],[x,o,s.getActiveUniform,s.getUniformLocation]])||Array.isArray(y)||(y=Object.keys(y)),m=0;m<y.length;m+=1)for(r=(d=y[m])[0],n=d[1],i=d[2],a=d[3],l=0;l<n;l+=1){if(c=(f=(h=i.call(s,this.handle,l)).name).match(p),g(c))for(f=c[1],u=0;u<h.size;u+=1)v.call(r,[f+\"[\"+u+\"]\",h.type]);else v.call(r,[f,h.type]);this.locations[f]=a.call(s,this.handle,f)}return _(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(e[0]);return o}.apply(this),function(){var t,e,r,n=[];for(\"object\"!=typeof(e=x)||Array.isArray(e)||(e=Object.keys(e)),r=0;r<e.length;r++)t=e[r],n.push(t[0]);return n}.apply(this))},a.prototype.set_texture=function(t,e){var r,n,o;if(!g(this._linked))throw(r=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",r;return n=m.call(this.locations,t,-1),g(n<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active texture\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),o=x.call(this._samplers).length,f(t,this._samplers)&&(o=this._samplers[t][this._samplers[t].length-1]),this._samplers[t]=[e._target,e.handle,o],this._gl.uniform1i(n,o),null)},a.prototype.set_uniform=function(t,e,r){var n,o,i,a,s,l,h;if(!g(this._linked))throw(i=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",i;if(s=m.call(this.locations,t,-1),g(s<0))return f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active uniform\")),null;if(f(t,this._unset_variables)&&E.call(this._unset_variables,t),o=1,w.call(e,\"mat\")||(n=m.call({int:\"float\",bool:\"float\"},e,b.call(e,\"ib\")),o=Math.floor(r.length/this.ATYPEINFO[n][0])),g(o>1))for(l=0;l<o;l+=1)f(t+\"[\"+l+\"]\",this._unset_variables)&&f(h=t+\"[\"+l+\"]\",this._unset_variables)&&E.call(this._unset_variables,h);return a=this.UTYPEMAP[e],this.activate(),w.call(e,\"mat\")?this._gl[a](s,!1,r):this._gl[a](s,r),null},a.prototype.set_attribute=function(t,e,r,n,o){var i,a,s,l,u,_;if(n=void 0===n?0:n,o=void 0===o?0:o,!g(this._linked))throw(a=new Error(\"RuntimeError:Cannot set attribute when program has no code\")).name=\"RuntimeError\",a;return u=r instanceof h,l=m.call(this.locations,t,-1),g(l<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),g(u)&&g(o>0)||c.log(\"Variable \"+t+\" is not an active attribute\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),g(u)?(s=\"vertexAttribPointer\",i=[(_=this.ATYPEINFO[e])[0],_[1],this._gl.FALSE,n,o],this._attributes[t]=[r.handle,l,s,i]):(s=this.ATYPEMAP[e],this._attributes[t]=[0,l,s,r]),null)},a.prototype._pre_draw=function(){var t,e,r,n,o,i,a,s,l,h,u,c;for(c in this.activate(),a=this._samplers)a.hasOwnProperty(c)&&(l=(i=c=a[c])[0],s=i[1],h=i[2],this._gl.activeTexture(_(this._gl.TEXTURE0,h)),this._gl.bindTexture(l,s));for(c in o=this._attributes)o.hasOwnProperty(c)&&(u=(n=c=o[c])[0],e=n[1],r=n[2],t=n[3],g(u)?(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,u),this._gl.enableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))):(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,null),this._gl.disableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))));return g(this._validated)||(this._validated=!0,this._validate()),null},a.prototype._validate=function(){var t;if(this._unset_variables.length&&c.log(\"Program has unset variables: \"+this._unset_variables),this._gl.validateProgram(this.handle),!g(this._gl.getProgramParameter(this.handle,this._gl.VALIDATE_STATUS)))throw c.log(this._gl.getProgramInfoLog(this.handle)),(t=new Error(\"RuntimeError:Program validation error\")).name=\"RuntimeError\",t;return null},a.prototype.draw=function(t,e){var r,n,o,a,s;if(!g(this._linked))throw(n=new Error(\"RuntimeError:Cannot draw program if code has not been set\")).name=\"RuntimeError\",n;return u(this._gl,\"before draw\"),g(e instanceof i)?(this._pre_draw(),e.activate(),r=e._buffer_size/2,a=this._gl.UNSIGNED_SHORT,this._gl.drawElements(t,r,a,0),e.deactivate()):(o=(s=e)[0],r=s[1],g(r)&&(this._pre_draw(),this._gl.drawArrays(t,o,r))),u(this._gl,\"after draw\"),null},((n=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,n.prototype._class_name=\"Buffer\",n.prototype._target=null,n.prototype._usage=35048,n.prototype._create=function(){return this.handle=this._gl.createBuffer(),this._buffer_size=0,null},n.prototype.delete=function(){return this._gl.deleteBuffer(this.handle),null},n.prototype.activate=function(){return this._gl.bindBuffer(this._target,this.handle),null},n.prototype.deactivate=function(){return this._gl.bindBuffer(this._target,null),null},n.prototype.set_size=function(t){return p(t,this._buffer_size)||(this.activate(),this._gl.bufferData(this._target,t,this._usage),this._buffer_size=t),null},n.prototype.set_data=function(t,e){return this.activate(),this._gl.bufferSubData(this._target,t,e),null},(h=function(){d(this,arguments)}).prototype=Object.create(n.prototype),h.prototype._base_class=n.prototype,h.prototype._class_name=\"VertexBuffer\",h.prototype._target=34962,(i=function(){d(this,arguments)}).prototype=Object.create(n.prototype),i.prototype._base_class=n.prototype,i.prototype._class_name=\"IndexBuffer\",i.prototype._target=34963,((s=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,s.prototype._class_name=\"Texture2D\",s.prototype._target=3553,s.prototype._types={Int8Array:5120,Uint8Array:5121,Int16Array:5122,Uint16Array:5123,Int32Array:5124,Uint32Array:5125,Float32Array:5126},s.prototype._create=function(){return this.handle=this._gl.createTexture(),this._shape_format=null,null},s.prototype.delete=function(){return this._gl.deleteTexture(this.handle),null},s.prototype.activate=function(){return this._gl.bindTexture(this._target,this.handle),null},s.prototype.deactivate=function(){return this._gl.bindTexture(this._target,0),null},s.prototype._get_alignment=function(t){var e,r,n;for(\"object\"!=typeof(r=[4,8,2,1])||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n+=1)if(e=r[n],p(t%e,0))return e;return null},s.prototype.set_wrapping=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_S,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_T,e),null},s.prototype.set_interpolation=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_MIN_FILTER,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_MAG_FILTER,e),null},s.prototype.set_size=function(t,e){var r,n,o;return r=(n=t)[0],o=n[1],p([r,o,e],this._shape_format)||(this._shape_format=[r,o,e],this.activate(),this._gl.texImage2D(this._target,0,e,o,r,0,e,this._gl.UNSIGNED_BYTE,null)),this.u_shape=[r,o],null},s.prototype.set_data=function(t,e,r){var n,o,i,a,s,l,h,u,c,_;if(p(e.length,2)&&(e=[e[0],e[1],1]),this.activate(),i=this._shape_format[2],s=(l=e)[0],u=l[1],l[2],_=(h=t)[0],c=h[1],null===(a=m.call(this._types,r.constructor.name,null)))throw(o=new Error(\"ValueError:Type \"+r.constructor.name+\" not allowed for texture\")).name=\"ValueError\",o;return n=this._get_alignment(y(e[e.length-2],e[e.length-1])),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,n),this._gl.texSubImage2D(this._target,0,c,_,u,s,i,a,r),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,4),null},((l=function(){d(this,arguments)}).prototype=Object.create(s.prototype))._base_class=s.prototype,l.prototype._class_name=\"Texture3DLike\",l.prototype.GLSL_SAMPLE_NEAREST=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float zindex = floor(texcoord.z * shape.z);\\n\\n            // Do a lookup in the 2D texture\\n            float u = (mod(zindex, ncols) + texcoord.x) / ncols;\\n            float v = (floor(zindex / ncols) + texcoord.y) / nrows;\\n\\n            return texture2D(tex, vec2(u,v));\\n        }\\n    \",l.prototype.GLSL_SAMPLE_LINEAR=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float z = texcoord.z * shape.z;\\n            float zindex1 = floor(z);\\n            float u1 = (mod(zindex1, ncols) + texcoord.x) / ncols;\\n            float v1 = (floor(zindex1 / ncols) + texcoord.y) / nrows;\\n\\n            float zindex2 = zindex1 + 1.0;\\n            float u2 = (mod(zindex2, ncols) + texcoord.x) / ncols;\\n            float v2 = (floor(zindex2 / ncols) + texcoord.y) / nrows;\\n\\n            vec4 s1 = texture2D(tex, vec2(u1, v1));\\n            vec4 s2 = texture2D(tex, vec2(u2, v2));\\n\\n            return s1 * (zindex2 - z) + s2 * (z - zindex1);\\n        }\\n    \",l.prototype._get_tile_info=function(t){var e,r,n,o;if(r=this._gl.getParameter(this._gl.MAX_TEXTURE_SIZE),o=Math.floor(r/t[1]),o=Math.min(o,t[0]),n=window.Math.ceil(t[0]/o),g(y(n,t[2])>r))throw(e=new Error(\"RuntimeError:Cannot fit 3D data with shape \"+t+\" onto simulated 2D texture.\")).name=\"RuntimeError\",e;return[o,n]},l.prototype.set_size=function(t,e){var r,n,o,i;return n=(i=this._get_tile_info(t))[0],r=i[1],o=[y(t[1],n),y(t[2],r)],l.prototype._base_class.set_size.call(this,o,e),this.u_shape=[t[0],t[1],t[2]],this.u_tiles=[r,n],null},l.prototype.set_data=function(t,e,r){var n,o,i,a,s,h,u,c,_,f,d,v;if(p(e.length,3)&&(e=[e[0],e[1],e[2],1]),!function(t){for(var e=0;e<t.length;e++)if(!g(t[e]))return!1;return!0}(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(p(e,0));return o}.apply(this)))throw(i=new Error(\"ValueError:Texture3DLike does not support nonzero offset (for now)\")).name=\"ValueError\",i;if(s=(c=this._get_tile_info(e))[0],a=c[1],u=[y(e[1],s),y(e[2],a),e[3]],p(a,1))l.prototype._base_class.set_data.call(this,[0,0],u,r);else for(v=new(0,r.constructor)(y(y(u[0],u[1]),u[2])),l.prototype._base_class.set_data.call(this,[0,0],u,v),d=0;d<e[0];d+=1)h=(_=[Math.floor(d/a),d%a])[0],n=_[1],o=Math.floor(r.length/e[0]),f=r.slice(y(d,o),y(d+1,o)),l.prototype._base_class.set_data.call(this,[y(h,e[1]),y(n,e[2])],e.slice(1),f);return null},e.exports={Buffer:n,GlooObject:o,IndexBuffer:i,Program:a,Texture2D:s,Texture3DLike:l,VertexBuffer:h,check_error:u,console:c}},\n",
+       "      374: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(20),s=e(72);class i{constructor(e,t){this.gl=e,this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.init()}set_data_changed(e){e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,a){if(0==t.length)return!0;const[r,i,n]=[0,1,2];let l=1,h=1,[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]);if(isNaN(o[0]+o[1]+o[2]+_[0]+_[1]+_[2]))return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;if(l=100/Math.min(Math.max(Math.abs(o[1]-o[0]),1e-12),1e12),h=100/Math.min(Math.max(Math.abs(_[1]-_[0]),1e-12),1e12),[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]),Math.abs(o[1]-o[0]-(o[2]-o[1]))>1e-6||Math.abs(_[1]-_[0]-(_[2]-_[1]))>1e-6)return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;const[c,u]=[(o[1]-o[0])/l,(_[1]-_[0])/h],{width:d,height:g}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,f={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:d,height:g,dx:o[0]/c,dy:_[0]/u,sx:c,sy:u};return this.draw(t,a,f),!0}}function n(e,t){const a=new Float32Array(e);for(let r=0,s=e;r<s;r++)a[r]=t;return a}function l(e,t){return void 0!==e[t].spec.value}a.BaseGLGlyph=i,i.__name__=\"BaseGLGlyph\",a.line_width=function(e){return e<2&&(e=Math.sqrt(2*e)),e},a.fill_array_with_float=n,a.fill_array_with_vec=function(e,t,a){const r=new Float32Array(e*t);for(let s=0;s<e;s++)for(let e=0;e<t;e++)r[s*t+e]=a[e];return r},a.visual_prop_is_singular=l,a.attach_float=function(e,t,a,r,s,i){if(s.doit)if(l(s,i))t.used=!1,e.set_attribute(a,\"float\",s[i].value());else{t.used=!0;const n=new Float32Array(s.get_array(i));t.set_size(4*r),t.set_data(0,n),e.set_attribute(a,\"float\",t)}else t.used=!1,e.set_attribute(a,\"float\",[0])},a.attach_color=function(e,t,a,s,i,h){let o;const _=h+\"_color\",c=h+\"_alpha\";if(i.doit)if(l(i,_)&&l(i,c))t.used=!1,o=r.color2rgba(i[_].value(),i[c].value()),e.set_attribute(a,\"vec4\",o);else{let h,u;t.used=!0,u=l(i,_)?(()=>{const e=[];for(let t=0,a=s;t<a;t++)e.push(i[_].value());return e})():i.get_array(_),h=l(i,c)?n(s,i[c].value()):i.get_array(c);const d=new Float32Array(4*s);for(let e=0,t=s;e<t;e++){o=r.color2rgba(u[e],h[e]);for(let t=0,a=4;t<a;t++)d[4*e+t]=o[t]}t.set_size(4*s*4),t.set_data(0,d),e.set_attribute(a,\"vec4\",t)}else t.used=!1,e.set_attribute(a,\"vec4\",[0,0,0,0])}},\n",
+       "      375: function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.vertex_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size, u_offset;\\nuniform vec2 u_scale_aspect;\\nuniform float u_scale_length;\\n\\nuniform vec4 u_color;\\nuniform float u_antialias;\\nuniform float u_length;\\nuniform float u_linewidth;\\nuniform float u_dash_index;\\nuniform float u_closed;\\n\\nattribute vec2 a_position;\\nattribute vec4 a_tangents;\\nattribute vec2 a_segment;\\nattribute vec2 a_angles;\\nattribute vec2 a_texcoord;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\nfloat cross(in vec2 v1, in vec2 v2)\\n{\\n    return v1.x*v2.y - v1.y*v2.x;\\n}\\n\\nfloat signed_distance(in vec2 v1, in vec2 v2, in vec2 v3)\\n{\\n    return cross(v2-v1,v1-v3) / length(v2-v1);\\n}\\n\\nvoid rotate( in vec2 v, in float alpha, out vec2 result )\\n{\\n    float c = cos(alpha);\\n    float s = sin(alpha);\\n    result = vec2( c*v.x - s*v.y,\\n                   s*v.x + c*v.y );\\n}\\n\\nvoid main()\\n{\\n    bool closed = (u_closed > 0.0);\\n\\n    // Attributes and uniforms to varyings\\n    v_color = u_color;\\n    v_linewidth = u_linewidth;\\n    v_segment = a_segment * u_scale_length;\\n    v_length = u_length * u_scale_length;\\n\\n    // Scale to map to pixel coordinates. The original algorithm from the paper\\n    // assumed isotropic scale. We obviously do not have this.\\n    vec2 abs_scale_aspect = abs(u_scale_aspect);\\n    vec2 abs_scale = u_scale_length * abs_scale_aspect;\\n\\n    // Correct angles for aspect ratio\\n    vec2 av;\\n    av = vec2(1.0, tan(a_angles.x)) / abs_scale_aspect;\\n    v_angles.x = atan(av.y, av.x);\\n    av = vec2(1.0, tan(a_angles.y)) / abs_scale_aspect;\\n    v_angles.y = atan(av.y, av.x);\\n\\n    // Thickness below 1 pixel are represented using a 1 pixel thickness\\n    // and a modified alpha\\n    v_color.a = min(v_linewidth, v_color.a);\\n    v_linewidth = max(v_linewidth, 1.0);\\n\\n    // If color is fully transparent we just will discard the fragment anyway\\n    if( v_color.a <= 0.0 ) {\\n        gl_Position = vec4(0.0,0.0,0.0,1.0);\\n        return;\\n    }\\n\\n    // This is the actual half width of the line\\n    float w = ceil(u_antialias+v_linewidth)/2.0;\\n\\n    vec2 position = (a_position + u_offset) * abs_scale;\\n\\n    vec2 t1 = normalize(a_tangents.xy * abs_scale_aspect);  // note the scaling for aspect ratio here\\n    vec2 t2 = normalize(a_tangents.zw * abs_scale_aspect);\\n    float u = a_texcoord.x;\\n    float v = a_texcoord.y;\\n    vec2 o1 = vec2( +t1.y, -t1.x);\\n    vec2 o2 = vec2( +t2.y, -t2.x);\\n\\n    // This is a join\\n    // ----------------------------------------------------------------\\n    if( t1 != t2 ) {\\n        float angle = atan (t1.x*t2.y-t1.y*t2.x, t1.x*t2.x+t1.y*t2.y);  // Angle needs recalculation for some reason\\n        vec2 t  = normalize(t1+t2);\\n        vec2 o  = vec2( + t.y, - t.x);\\n\\n        if ( u_dash_index > 0.0 )\\n        {\\n            // Broken angle\\n            // ----------------------------------------------------------------\\n            if( (abs(angle) > THETA) ) {\\n                position += v * w * o / cos(angle/2.0);\\n                float s = sign(angle);\\n                if( angle < 0.0 ) {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position -= 2.0 * w * t1 / sin(angle);\\n                            u -= 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position += 2.0 * w * t2 / sin(angle);\\n                            u += 2.0*w / sin(angle);\\n                        }\\n                    }\\n                } else {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position += 2.0 * w * t1 / sin(angle);\\n                            u += 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position -= 2.0 * w * t2 / sin(angle);\\n                            u -= 2.0*w / sin(angle);\\n                        }\\n                    }\\n                }\\n                // Continuous angle\\n                // ------------------------------------------------------------\\n            } else {\\n                position += v * w * o / cos(angle/2.0);\\n                if( u == +1.0 ) u = v_segment.y;\\n                else            u = v_segment.x;\\n            }\\n        }\\n\\n        // Solid line\\n        // --------------------------------------------------------------------\\n        else\\n        {\\n            position.xy += v * w * o / cos(angle/2.0);\\n            if( angle < 0.0 ) {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            } else {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            }\\n        }\\n\\n    // This is a line start or end (t1 == t2)\\n    // ------------------------------------------------------------------------\\n    } else {\\n        position += v * w * o1;\\n        if( u == -1.0 ) {\\n            u = v_segment.x - w;\\n            position -= w * t1;\\n        } else {\\n            u = v_segment.y + w;\\n            position += w * t2;\\n        }\\n    }\\n\\n    // Miter distance\\n    // ------------------------------------------------------------------------\\n    vec2 t;\\n    vec2 curr = a_position * abs_scale;\\n    if( a_texcoord.x < 0.0 ) {\\n        vec2 next = curr + t2*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, +v_angles.x/2.0, t);\\n        v_miter.x = signed_distance(curr, curr+t, position);\\n\\n        rotate( t2, +v_angles.y/2.0, t);\\n        v_miter.y = signed_distance(next, next+t, position);\\n    } else {\\n        vec2 prev = curr - t1*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, -v_angles.x/2.0,t);\\n        v_miter.x = signed_distance(prev, prev+t, position);\\n\\n        rotate( t2, -v_angles.y/2.0,t);\\n        v_miter.y = signed_distance(curr, curr+t, position);\\n    }\\n\\n    if (!closed && v_segment.x <= 0.0) {\\n        v_miter.x = 1e10;\\n    }\\n    if (!closed && v_segment.y >= v_length)\\n    {\\n        v_miter.y = 1e10;\\n    }\\n\\n    v_texcoord = vec2( u, v*w );\\n\\n    // Calculate position in device coordinates. Note that we\\n    // already scaled with abs scale above.\\n    vec2 normpos = position * sign(u_scale_aspect);\\n    normpos += 0.5;  // make up for Bokeh's offset\\n    normpos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(normpos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n}\\n\"},\n",
+       "      376: function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0}),e.fragment_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform sampler2D u_dash_atlas;\\n\\nuniform vec2 u_linecaps;\\nuniform float u_miter_limit;\\nuniform float u_linejoin;\\nuniform float u_antialias;\\nuniform float u_dash_phase;\\nuniform float u_dash_period;\\nuniform float u_dash_index;\\nuniform vec2 u_dash_caps;\\nuniform float u_closed;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\n// Compute distance to cap ----------------------------------------------------\\nfloat cap( int type, float dx, float dy, float t, float linewidth )\\n{\\n    float d = 0.0;\\n    dx = abs(dx);\\n    dy = abs(dy);\\n    if      (type == 0)  discard;  // None\\n    else if (type == 1)  d = sqrt(dx*dx+dy*dy);  // Round\\n    else if (type == 3)  d = (dx+abs(dy));  // Triangle in\\n    else if (type == 2)  d = max(abs(dy),(t+dx-abs(dy)));  // Triangle out\\n    else if (type == 4)  d = max(dx,dy);  // Square\\n    else if (type == 5)  d = max(dx+t,dy);  // Butt\\n    return d;\\n}\\n\\n// Compute distance to join -------------------------------------------------\\nfloat join( in int type, in float d, in vec2 segment, in vec2 texcoord, in vec2 miter,\\n           in float linewidth )\\n{\\n    // texcoord.x is distance from start\\n    // texcoord.y is distance from centerline\\n    // segment.x and y indicate the limits (as for texcoord.x) for this segment\\n\\n    float dx = texcoord.x;\\n\\n    // Round join\\n    if( type == 1 ) {\\n        if (dx < segment.x) {\\n            d = max(d,length( texcoord - vec2(segment.x,0.0)));\\n            //d = length( texcoord - vec2(segment.x,0.0));\\n        } else if (dx > segment.y) {\\n            d = max(d,length( texcoord - vec2(segment.y,0.0)));\\n            //d = length( texcoord - vec2(segment.y,0.0));\\n        }\\n    }\\n    // Bevel join\\n    else if ( type == 2 ) {\\n        if (dx < segment.x) {\\n            vec2 x = texcoord - vec2(segment.x,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n\\n        } else if (dx > segment.y) {\\n            vec2 x = texcoord - vec2(segment.y,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n        }\\n        /*  Original code for bevel which does not work for us\\n        if( (dx < segment.x) ||  (dx > segment.y) )\\n            d = max(d, min(abs(x.x),abs(x.y)));\\n        */\\n    }\\n\\n    return d;\\n}\\n\\nvoid main()\\n{\\n    // If color is fully transparent we just discard the fragment\\n    if( v_color.a <= 0.0 ) {\\n        discard;\\n    }\\n\\n    // Test if dash pattern is the solid one (0)\\n    bool solid =  (u_dash_index == 0.0);\\n\\n    // Test if path is closed\\n    bool closed = (u_closed > 0.0);\\n\\n    vec4 color = v_color;\\n    float dx = v_texcoord.x;\\n    float dy = v_texcoord.y;\\n    float t = v_linewidth/2.0-u_antialias;\\n    float width = 1.0;  //v_linewidth; original code had dashes scale with line width, we do not\\n    float d = 0.0;\\n\\n    vec2 linecaps = u_linecaps;\\n    vec2 dash_caps = u_dash_caps;\\n    float line_start = 0.0;\\n    float line_stop = v_length;\\n\\n    // Apply miter limit; fragments too far into the miter are simply discarded\\n    if( (dx < v_segment.x) || (dx > v_segment.y) ) {\\n        float into_miter = max(v_segment.x - dx, dx - v_segment.y);\\n        if (into_miter > u_miter_limit*v_linewidth/2.0)\\n          discard;\\n    }\\n\\n    // Solid line --------------------------------------------------------------\\n    if( solid ) {\\n        d = abs(dy);\\n        if( (!closed) && (dx < line_start) ) {\\n            d = cap( int(u_linecaps.x), abs(dx), abs(dy), t, v_linewidth );\\n        }\\n        else if( (!closed) &&  (dx > line_stop) ) {\\n            d = cap( int(u_linecaps.y), abs(dx)-line_stop, abs(dy), t, v_linewidth );\\n        }\\n        else {\\n            d = join( int(u_linejoin), abs(dy), v_segment, v_texcoord, v_miter, v_linewidth );\\n        }\\n\\n    // Dash line --------------------------------------------------------------\\n    } else {\\n        float segment_start = v_segment.x;\\n        float segment_stop  = v_segment.y;\\n        float segment_center= (segment_start+segment_stop)/2.0;\\n        float freq          = u_dash_period*width;\\n        float u = mod( dx + u_dash_phase*width, freq);\\n        vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n        float dash_center= tex.x * width;\\n        float dash_type  = tex.y;\\n        float _start = tex.z * width;\\n        float _stop  = tex.a * width;\\n        float dash_start = dx - u + _start;\\n        float dash_stop  = dx - u + _stop;\\n\\n        // Compute extents of the first dash (the one relative to v_segment.x)\\n        // Note: this could be computed in the vertex shader\\n        if( (dash_stop < segment_start) && (dash_caps.x != 5.0) ) {\\n            float u = mod(segment_start + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_start - u + _start;\\n            dash_stop = segment_start - u + _stop;\\n        }\\n\\n        // Compute extents of the last dash (the one relatives to v_segment.y)\\n        // Note: This could be computed in the vertex shader\\n        else if( (dash_start > segment_stop)  && (dash_caps.y != 5.0) ) {\\n            float u = mod(segment_stop + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_stop - u + _start;\\n            dash_stop  = segment_stop - u + _stop;\\n        }\\n\\n        // This test if the we are dealing with a discontinuous angle\\n        bool discontinuous = ((dx <  segment_center) && abs(v_angles.x) > THETA) ||\\n                             ((dx >= segment_center) && abs(v_angles.y) > THETA);\\n        //if( dx < line_start) discontinuous = false;\\n        //if( dx > line_stop)  discontinuous = false;\\n\\n        float d_join = join( int(u_linejoin), abs(dy),\\n                            v_segment, v_texcoord, v_miter, v_linewidth );\\n\\n        // When path is closed, we do not have room for linecaps, so we make room\\n        // by shortening the total length\\n        if (closed) {\\n             line_start += v_linewidth/2.0;\\n             line_stop  -= v_linewidth/2.0;\\n        }\\n\\n        // We also need to take antialias area into account\\n        //line_start += u_antialias;\\n        //line_stop  -= u_antialias;\\n\\n        // Check is dash stop is before line start\\n        if( dash_stop <= line_start ) {\\n            discard;\\n        }\\n        // Check is dash start is beyond line stop\\n        if( dash_start >= line_stop ) {\\n            discard;\\n        }\\n\\n        // Check if current dash start is beyond segment stop\\n        if( discontinuous ) {\\n            // Dash start is beyond segment, we discard\\n            if( (dash_start > segment_stop) ) {\\n                discard;\\n                //gl_FragColor = vec4(1.0,0.0,0.0,.25); return;\\n            }\\n\\n            // Dash stop is before segment, we discard\\n            if( (dash_stop < segment_start) ) {\\n                discard;  //gl_FragColor = vec4(0.0,1.0,0.0,.25); return;\\n            }\\n\\n            // Special case for round caps (nicer with this)\\n            if( dash_caps.x == 1.0 ) {\\n                if( (u > _stop) && (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for round caps  (nicer with this)\\n            if( dash_caps.y == 1.0 ) {\\n                if( (u < _start) && (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.x != 1.0) && (dash_caps.x != 5.0) ) {\\n                if( (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0) ) {\\n                    float a = v_angles.x/2.0;\\n                    float x = (segment_start-dx)*cos(a) - dy*sin(a);\\n                    float y = (segment_start-dx)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the cap into square to avoid holes\\n                    dash_caps.x = 4.0;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.y != 1.0) && (dash_caps.y != 5.0) ) {\\n                if( (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0) ) {\\n                    float a = v_angles.y/2.0;\\n                    float x = (dx-segment_stop)*cos(a) - dy*sin(a);\\n                    float y = (dx-segment_stop)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the caps into square to avoid holes\\n                    dash_caps.y = 4.0;\\n                }\\n            }\\n        }\\n\\n        // Line cap at start\\n        if( (dx < line_start) && (dash_start < line_start) && (dash_stop > line_start) ) {\\n            d = cap( int(linecaps.x), dx-line_start, dy, t, v_linewidth);\\n        }\\n        // Line cap at stop\\n        else if( (dx > line_stop) && (dash_stop > line_stop) && (dash_start < line_stop) ) {\\n            d = cap( int(linecaps.y), dx-line_stop, dy, t, v_linewidth);\\n        }\\n        // Dash cap left - dash_type = -1, 0 or 1, but there may be roundoff errors\\n        else if( dash_type < -0.5 ) {\\n            d = cap( int(dash_caps.y), abs(u-dash_center), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash cap right\\n        else if( dash_type > 0.5 ) {\\n            d = cap( int(dash_caps.x), abs(dash_center-u), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash body (plain)\\n        else {// if( dash_type > -0.5 &&  dash_type < 0.5) {\\n            d = abs(dy);\\n        }\\n\\n        // Line join\\n        if( (dx > line_start) && (dx < line_stop)) {\\n            if( (dx <= segment_start) && (dash_start <= segment_start)\\n                && (dash_stop >= segment_start) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.x;\\n                float f = abs( (segment_start - dx)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( (dx > segment_stop) && (dash_start <= segment_stop)\\n                     && (dash_stop >= segment_stop) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.y;\\n                float f = abs((dx - segment_stop)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( dx < (segment_start - v_linewidth/2.)) {\\n                discard;\\n            }\\n            else if( dx > (segment_stop + v_linewidth/2.)) {\\n                discard;\\n            }\\n        }\\n        else if( dx < (segment_start - v_linewidth/2.)) {\\n            discard;\\n        }\\n        else if( dx > (segment_stop + v_linewidth/2.)) {\\n            discard;\\n        }\\n    }\\n\\n    // Distance to border ------------------------------------------------------\\n    d = d - t;\\n    if( d < 0.0 ) {\\n        gl_FragColor = color;\\n    } else {\\n        d /= u_antialias;\\n        gl_FragColor = vec4(color.rgb, exp(-d*d)*color.a);\\n    }\\n}\\n\"},\n",
+       "      377: function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(373),r=t(374),o=t(378),_=t(379),h=t(213),l=t(12),n=t(72);class g extends r.BaseGLGlyph{init(){const{gl:t}=this,s=o.vertex_shader,e=_.fragment_shader(this._marker_code);this.prog=new a.Program(t),this.prog.set_shaders(s,e),this.vbo_x=new a.VertexBuffer(t),this.prog.set_attribute(\"a_x\",\"float\",this.vbo_x),this.vbo_y=new a.VertexBuffer(t),this.prog.set_attribute(\"a_y\",\"float\",this.vbo_y),this.vbo_s=new a.VertexBuffer(t),this.prog.set_attribute(\"a_size\",\"float\",this.vbo_s),this.vbo_a=new a.VertexBuffer(t),this.prog.set_attribute(\"a_angle\",\"float\",this.vbo_a),this.vbo_linewidth=new a.VertexBuffer(t),this.vbo_fg_color=new a.VertexBuffer(t),this.vbo_bg_color=new a.VertexBuffer(t),this.index_buffer=new a.IndexBuffer(t)}draw(t,s,e){const i=s.glglyph,{nvertices:a}=i;if(i.data_changed){if(!isFinite(e.dx)||!isFinite(e.dy))return;i._baked_offset=[e.dx,e.dy],i._set_data(a),i.data_changed=!1}else this.glyph instanceof h.CircleView&&null!=this.glyph._radius&&(null==this.last_trans||e.sx!=this.last_trans.sx||e.sy!=this.last_trans.sy)&&(this.last_trans=e,this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))));this.visuals_changed&&(this._set_visuals(a),this.visuals_changed=!1);const r=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[e.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[e.width,e.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[e.dx-r[0],e.dy-r[1]]),this.prog.set_uniform(\"u_scale\",\"vec2\",[e.sx,e.sy]),this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a),0!=t.length)if(t.length===a)this.prog.draw(this.gl.POINTS,[0,a]);else if(a<65535){const s=window.navigator.userAgent;s.indexOf(\"MSIE \")+s.indexOf(\"Trident/\")+s.indexOf(\"Edge/\")>0&&n.logger.warn(\"WebGL warning: IE is known to produce 1px sprites whith selections.\"),this.index_buffer.set_size(2*t.length),this.index_buffer.set_data(0,new Uint16Array(t)),this.prog.draw(this.gl.POINTS,this.index_buffer)}else{const s=64e3,e=[];for(let t=0,i=Math.ceil(a/s);t<i;t++)e.push([]);for(let i=0,a=t.length;i<a;i++){const a=t[i]%s;e[Math.floor(t[i]/s)].push(a)}for(let t=0,a=e.length;t<a;t++){const a=new Uint16Array(e[t]),r=t*s*4;0!==a.length&&(this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x,0,r),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y,0,r),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s,0,r),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a,0,r),this.vbo_linewidth.used&&this.prog.set_attribute(\"a_linewidth\",\"float\",this.vbo_linewidth,0,r),this.vbo_fg_color.used&&this.prog.set_attribute(\"a_fg_color\",\"vec4\",this.vbo_fg_color,0,4*r),this.vbo_bg_color.used&&this.prog.set_attribute(\"a_bg_color\",\"vec4\",this.vbo_bg_color,0,4*r),this.index_buffer.set_size(2*a.length),this.index_buffer.set_data(0,a),this.prog.draw(this.gl.POINTS,this.index_buffer))}}}_set_data(t){const s=4*t;this.vbo_x.set_size(s),this.vbo_y.set_size(s),this.vbo_a.set_size(s),this.vbo_s.set_size(s);const e=new Float64Array(this.glyph._x),i=new Float64Array(this.glyph._y);for(let s=0,a=t;s<a;s++)e[s]+=this._baked_offset[0],i[s]+=this._baked_offset[1];this.vbo_x.set_data(0,new Float32Array(e)),this.vbo_y.set_data(0,new Float32Array(i)),null!=this.glyph._angle&&this.vbo_a.set_data(0,new Float32Array(this.glyph._angle)),this.glyph instanceof h.CircleView&&null!=this.glyph._radius?this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))):this.vbo_s.set_data(0,new Float32Array(this.glyph._size))}_set_visuals(t){r.attach_float(this.prog,this.vbo_linewidth,\"a_linewidth\",t,this.glyph.visuals.line,\"line_width\"),r.attach_color(this.prog,this.vbo_fg_color,\"a_fg_color\",t,this.glyph.visuals.line,\"line\"),r.attach_color(this.prog,this.vbo_bg_color,\"a_bg_color\",t,this.glyph.visuals.fill,\"fill\"),this.prog.set_uniform(\"u_antialias\",\"float\",[.8])}}function f(t){return class extends g{get _marker_code(){return t}}}e.MarkerGLGlyph=g,g.__name__=\"MarkerGLGlyph\";const d=i.__importStar(t(379));e.CircleGLGlyph=f(d.circle),e.SquareGLGlyph=f(d.square),e.DiamondGLGlyph=f(d.diamond),e.TriangleGLGlyph=f(d.triangle),e.InvertedTriangleGLGlyph=f(d.invertedtriangle),e.HexGLGlyph=f(d.hex),e.CrossGLGlyph=f(d.cross),e.CircleCrossGLGlyph=f(d.circlecross),e.SquareCrossGLGlyph=f(d.squarecross),e.DiamondCrossGLGlyph=f(d.diamondcross),e.XGLGlyph=f(d.x),e.CircleXGLGlyph=f(d.circlex),e.SquareXGLGlyph=f(d.squarex),e.AsteriskGLGlyph=f(d.asterisk)},\n",
+       "      378: function _(n,i,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.vertex_shader=\"\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\n//\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform vec2 u_offset;\\nuniform vec2 u_scale;\\nuniform float u_antialias;\\n//\\nattribute float a_x;\\nattribute float a_y;\\nattribute float a_size;\\nattribute float a_angle;  // in radians\\nattribute float a_linewidth;\\nattribute vec4  a_fg_color;\\nattribute vec4  a_bg_color;\\n//\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying vec2  v_rotation;\\n\\nvoid main (void)\\n{\\n    v_size = a_size * u_pixel_ratio;\\n    v_linewidth = a_linewidth * u_pixel_ratio;\\n    v_fg_color = a_fg_color;\\n    v_bg_color = a_bg_color;\\n    v_rotation = vec2(cos(-a_angle), sin(-a_angle));\\n    // Calculate position - the -0.5 is to correct for canvas origin\\n    vec2 pos = (vec2(a_x, a_y) + u_offset) * u_scale; // in pixels\\n    pos += 0.5;  // make up for Bokeh's offset\\n    pos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(pos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n    gl_PointSize = SQRT_2 * v_size + 2.0 * (v_linewidth + 1.5*u_antialias);\\n}\\n\"},\n",
+       "      379: function _(a,n,s){Object.defineProperty(s,\"__esModule\",{value:!0}),s.fragment_shader=a=>`\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float PI = 3.14159265358979323846264;\\n//\\nuniform float u_antialias;\\n//\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2  v_rotation;\\n\\n${a}\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 fg_color, vec4 bg_color)\\n{\\n    vec4 frag_color;\\n    float t = linewidth/2.0 - antialias;\\n    float signed_distance = distance;\\n    float border_distance = abs(signed_distance) - t;\\n    float alpha = border_distance/antialias;\\n    alpha = exp(-alpha*alpha);\\n\\n    // If fg alpha is zero, it probably means no outline. To avoid a dark outline\\n    // shining through due to aa, we set the fg color to the bg color. Avoid if (i.e. branching).\\n    float select = float(bool(fg_color.a));\\n    fg_color.rgb = select * fg_color.rgb + (1.0  - select) * bg_color.rgb;\\n    // Similarly, if we want a transparent bg\\n    select = float(bool(bg_color.a));\\n    bg_color.rgb = select * bg_color.rgb + (1.0  - select) * fg_color.rgb;\\n\\n    if( border_distance < 0.0)\\n        frag_color = fg_color;\\n    else if( signed_distance < 0.0 ) {\\n        frag_color = mix(bg_color, fg_color, sqrt(alpha));\\n    } else {\\n        if( abs(signed_distance) < (linewidth/2.0 + antialias) ) {\\n            frag_color = vec4(fg_color.rgb, fg_color.a * alpha);\\n        } else {\\n            discard;\\n        }\\n    }\\n    return frag_color;\\n}\\n\\nvoid main()\\n{\\n    vec2 P = gl_PointCoord.xy - vec2(0.5, 0.5);\\n    P = vec2(v_rotation.x*P.x - v_rotation.y*P.y,\\n             v_rotation.y*P.x + v_rotation.x*P.y);\\n    float point_size = SQRT_2*v_size  + 2.0 * (v_linewidth + 1.5*u_antialias);\\n    float distance = marker(P*point_size, v_size);\\n    gl_FragColor = outline(distance, v_linewidth, u_antialias, v_fg_color, v_bg_color);\\n    //gl_FragColor.rgb *= gl_FragColor.a;  // pre-multiply alpha\\n}\\n`,s.circle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return length(P) - size/2.0;\\n}\\n\",s.square=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n\",s.diamond=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    return r1 / SQRT_2;\\n}\\n\",s.hex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    vec2 q = abs(P);\\n    return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n\",s.triangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y -= size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.invertedtriangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y += size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = - P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.cross='\\nfloat marker(vec2 P, float size)\\n{\\n    float square = max(abs(P.x), abs(P.y)) - size / 2.5;   // 2.5 is a tweak\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(square, cross);\\n}\\n',s.circlecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.squarecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.diamondcross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    diamond /= SQRT_2;\\n    float c1 = max(diamond, s1);\\n    float c2 = max(diamond, s2);\\n    float c3 = max(diamond, s3);\\n    float c4 = max(diamond, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.x='\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size / 1.6;\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(circle, X);\\n}\\n',s.circlex='\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    float almost = min(min(min(c1, c2), c3), c4);\\n    // In this case, the X is also outside of the main shape\\n    float Xmask = length(P) - size / 1.6;  // a circle\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return min(max(X, Xmask), almost);\\n}\\n',s.squarex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.asterisk='\\nfloat marker(vec2 P, float size)\\n{\\n    // Masks\\n    float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / (2.0 * SQRT_2);\\n    float square = max(abs(P.x), abs(P.y)) - size / (2.0 * SQRT_2);\\n    // Shapes\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    // Result is union of masked shapes\\n    return min(max(X, diamond), max(cross, square));\\n}\\n'},\n",
+       "      }, 370, {\"models/glyphs/webgl/main\":370,\"models/glyphs/webgl/index\":371,\"models/glyphs/webgl/line\":372,\"models/glyphs/webgl/base\":374,\"models/glyphs/webgl/line.vert\":375,\"models/glyphs/webgl/line.frag\":376,\"models/glyphs/webgl/markers\":377,\"models/glyphs/webgl/markers.vert\":378,\"models/glyphs/webgl/markers.frag\":379}, {});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END bokeh-gl.min.js */\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      Bokeh.set_log_level(\"info\");\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN panel.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        factory(root[\"Bokeh\"], undefined);\n",
+       "      })(this, function(Bokeh, version) {\n",
+       "        var define;\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
+       "          if (bokeh != null) {\n",
+       "            return bokeh.register_plugin(modules, entry, aliases);\n",
+       "          } else {\n",
+       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
+       "          }\n",
+       "        })\n",
+       "      ({\n",
+       "      \"4e90918c0a\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"22ae8fda70\"));o.Panel=s,e(\"@bokehjs/base\").register_models(s)},\n",
+       "      \"22ae8fda70\": function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=a(\"tslib\");var t=a(\"3343056bd8\");r.AcePlot=t.AcePlot;var c=a(\"66d52165db\");r.Audio=c.Audio;var l=a(\"71a9759436\");r.CommManager=l.CommManager;var d=a(\"d0d2aafca0\");r.DeckGLPlot=d.DeckGLPlot;var v=a(\"ed08037ce5\");r.HTML=v.HTML;var b=a(\"284504a0cf\");r.JSON=b.JSON;var P=a(\"61c9ac7aac\");r.FileDownload=P.FileDownload;var f=a(\"7b859fb3cf\");r.KaTeX=f.KaTeX;var i=a(\"0c21036737\");r.MathJax=i.MathJax;var n=a(\"79c41bbf71\");r.Player=n.Player;var s=a(\"56da045fbd\");r.PlotlyPlot=s.PlotlyPlot;var M=a(\"76307e5afa\");r.Progress=M.Progress;var S=a(\"38b2bc9574\");r.State=S.State;var g=a(\"294adeb985\");r.VegaPlot=g.VegaPlot;var m=a(\"b0c3e9e9c2\");r.Video=m.Video;var V=a(\"3c7145a2fa\");r.VideoStream=V.VideoStream,o.__exportStar(a(\"ecfbb965eb\"),r)},\n",
+       "      \"3343056bd8\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),n=e(\"@bokehjs/core/dom\"),a=e(\"7116a7a602\");class d extends a.PanelHTMLBoxView{initialize(){super.initialize(),this._ace=window.ace,this._container=n.div({id:\"_\"+Math.random().toString(36).substr(2,9),style:{width:\"100%\",height:\"100%\"}})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.code.change,()=>this._update_code_from_model()),this.connect(this.model.properties.theme.change,()=>this._update_theme()),this.connect(this.model.properties.language.change,()=>this._update_language()),this.connect(this.model.properties.annotations.change,()=>this._add_annotations()),this.connect(this.model.properties.readonly.change,()=>{this._editor.setReadOnly(this.model.readonly)})}render(){super.render(),this._container!==this.el.childNodes[0]&&this.el.appendChild(this._container),this._container.textContent=this.model.code,this._editor=this._ace.edit(this._container.id),this._editor.setTheme(\"ace/theme/\"+this.model.theme),this._editor.session.setMode(\"ace/mode/\"+this.model.language),this._editor.setReadOnly(this.model.readonly),this._langTools=this._ace.require(\"ace/ext/language_tools\"),this._editor.setOptions({enableBasicAutocompletion:!0,enableSnippets:!0,fontFamily:\"monospace\"}),this._editor.on(\"change\",()=>this._update_code_from_editor())}_update_code_from_model(){this._editor&&this._editor.getValue()!=this.model.code&&this._editor.setValue(this.model.code)}_update_code_from_editor(){this._editor.getValue()!=this.model.code&&(this.model.code=this._editor.getValue())}_update_theme(){this._editor.setTheme(\"ace/theme/\"+this.model.theme)}_update_language(){this._editor.session.setMode(\"ace/mode/\"+this.model.language)}_add_annotations(){this._editor.session.setAnnotations(this.model.annotations)}after_layout(){super.after_layout(),this._editor.resize()}}o.AcePlotView=d,d.__name__=\"AcePlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_AcePlot(){this.prototype.default_view=d,this.define({code:[i.String],language:[i.String,\"python\"],theme:[i.String,\"chrome\"],annotations:[i.Array,[]],readonly:[i.Boolean,!1]}),this.override({height:300,width:300})}}o.AcePlot=h,h.__name__=\"AcePlot\",h.__module__=\"panel.models.ace\",h.init_AcePlot()},\n",
+       "      \"7116a7a602\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(\"@bokehjs/core/layout/html\"),h=e(\"@bokehjs/core/layout/types\"),o=e(\"@bokehjs/core/dom\"),n=e(\"@bokehjs/models/widgets/markup\"),_=e(\"@bokehjs/models/layouts/html_box\");function a(e,i){let t=null!=i.width?\"fixed\":\"fit\",s=null!=i.height?\"fixed\":\"fit\";const{sizing_mode:h}=i;if(null!=h)if(\"fixed\"==h)t=s=\"fixed\";else if(\"stretch_both\"==h)t=s=\"max\";else if(\"stretch_width\"==h)t=\"max\";else if(\"stretch_height\"==h)s=\"max\";else switch(h){case\"scale_width\":t=\"max\",s=\"min\";break;case\"scale_height\":t=\"min\",s=\"max\";break;case\"scale_both\":t=\"max\",s=\"max\";break;default:throw new Error(\"unreachable\")}\"fixed\"==t&&i.width?e.style.width=i.width+\"px\":\"max\"==t&&(e.style.width=\"100%\"),\"fixed\"==s&&i.height?e.style.height=i.height+\"px\":\"max\"==s&&(e.style.height=\"100%\")}t.set_size=a;class d extends s.VariadicBox{constructor(e,i,t){super(e),this.el=e,this.sizing_mode=i,this.changed=t,this._cache=new Map,this._cache_count=new Map}_measure(e){const i=[e.width,e.height,this.sizing_mode].toString(),t=this.changed&&\"fixed\"!=this.sizing_mode&&null!=this.sizing_mode?1:0,s=this._cache.get(i),n=this._cache_count.get(i);if(null!=s&&null!=n&&n>=t)return this._cache_count.set(i,n+1),s;const _=new h.Sizeable(e).bounded_to(this.sizing.size),a=o.sized(this.el,_,()=>{const e=new h.Sizeable(o.content_size(this.el)),{border:i,padding:t}=o.extents(this.el);return e.grow_by(i).grow_by(t).map(Math.ceil)});return this._cache.set(i,a),this._cache_count.set(i,0),a}invalidate_cache(){}}t.CachedVariadicBox=d,d.__name__=\"CachedVariadicBox\";class l extends n.MarkupView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.markup_el,this.model)}}t.PanelMarkupView=l,l.__name__=\"PanelMarkupView\";class c extends _.HTMLBoxView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.el,this.model)}}t.PanelHTMLBoxView=c,c.__name__=\"PanelHTMLBoxView\"},\n",
+       "      \"66d52165db\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.audioEl=document.createElement(\"audio\"),this.audioEl.controls=!0,this.audioEl.src=this.model.value,this.audioEl.currentTime=this.model.time,this.audioEl.loop=this.model.loop,null!=this.model.volume?this.audioEl.volume=this.model.volume/100:this.model.volume=100*this.audioEl.volume,this.audioEl.onpause=()=>this.model.paused=!0,this.audioEl.onplay=()=>this.model.paused=!1,this.audioEl.ontimeupdate=()=>this.update_time(this),this.audioEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.audioEl),this.model.paused||this.audioEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.audioEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.audioEl.volume)}set_loop(){this.audioEl.loop=this.model.loop}set_paused(){!this.audioEl.paused&&this.model.paused&&this.audioEl.pause(),this.audioEl.paused&&!this.model.paused&&this.audioEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.audioEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.audioEl.currentTime=this.model.time)}set_value(){this.audioEl.src=this.model.value}}i.AudioView=d,d.__name__=\"AudioView\";class u extends s.HTMLBox{constructor(e){super(e)}static init_Audio(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}i.Audio=u,u.__name__=\"Audio\",u.__module__=\"panel.models.widgets\",u.init_Audio()},\n",
+       "      \"71a9759436\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/document\"),s=e(\"@bokehjs/core/view\"),c=e(\"@bokehjs/model\"),_=e(\"@bokehjs/protocol/message\"),l=e(\"@bokehjs/protocol/receiver\");class r extends s.View{renderTo(){}}n.CommManagerView=r,r.__name__=\"CommManagerView\";class a extends c.Model{constructor(e){super(e),this._document_listener=e=>this._document_changed(e),this._receiver=new l.Receiver,this._event_buffer=[],this._blocked=!1,this._timeout=Date.now(),null!=window.PyViz&&window.PyViz.comm_manager?(this.ns=window.PyViz,this.ns.comm_manager.register_target(this.plot_id,this.comm_id,e=>this.msg_handler(e)),this._client_comm=this.ns.comm_manager.get_client_comm(this.plot_id,this.client_comm_id,e=>this.on_ack(e))):console.log(\"Could not find comm manager on window.PyViz, ensure the extension is loaded.\")}_doc_attached(){super._doc_attached(),null!=this.document&&this.document.on_change(this._document_listener)}_document_changed(e){e.setter_id!==this.id&&(e instanceof i.ModelChangedEvent&&!(e.attr in e.model.serializable_attributes())||(this._event_buffer.unshift(e),(!this._blocked||Date.now()>this._timeout)&&(setTimeout(()=>this.process_events(),this.debounce),this._blocked=!0,this._timeout=Date.now()+this.timeout)))}process_events(){if(null==this.document||null==this._client_comm)return;const e=_.Message.create(\"PATCH-DOC\",{},this.document.create_json_patch(this._event_buffer));this._client_comm.send(e),this._event_buffer=[]}on_ack(e){const t=e.metadata;this._event_buffer.length?(this.process_events(),this._blocked=!0,this._timeout=Date.now()+this.timeout):this._blocked=!1,this._event_buffer=[],\"Ready\"==t.msg_type&&t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback)}msg_handler(e){const t=e.metadata,n=e.buffers,o=e.content.data,i=this.plot_id;if(\"Ready\"==t.msg_type)t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback);else if(null!=i){let e=null;if(i in this.ns.plot_index&&null!=this.ns.plot_index[i]?e=this.ns.plot_index[i]:void 0!==window.Bokeh&&i in window.Bokeh.index&&(e=window.Bokeh.index[i]),null==e)return;null!=n&&n.length>0?this._receiver.consume(n[0].buffer):this._receiver.consume(o);const t=this._receiver.message;null!=t&&Object.keys(t.content).length>0&&null!=this.document&&this.document.apply_json_patch(t.content,t.buffers,this.id)}}static init_CommManager(){this.prototype.default_view=r,this.define({plot_id:[o.String,null],comm_id:[o.String,null],client_comm_id:[o.String,null],timeout:[o.Number,5e3],debounce:[o.Number,50]})}}n.CommManager=a,a.__name__=\"CommManager\",a.__module__=\"panel.models.comm_manager\",a.init_CommManager()},\n",
+       "      \"d0d2aafca0\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\"),n=e(\"@bokehjs/core/dom\"),a=i.__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),c=e(\"7116a7a602\"),r=e(\"064eac2866\"),d=i.__importDefault(e(\"093eb75864\"));function l(){const e={},t=window.deck,o=Object.keys(t).filter(e=>e.charAt(0)===e.charAt(0).toUpperCase());for(const i of o)e[i]=t[i];return e}class _ extends c.PanelHTMLBoxView{connect_signals(){super.connect_signals();const{data:e,mapbox_api_key:t,tooltip:o,layers:i,initialViewState:n,data_sources:a}=this.model.properties;this.on_change([t,o],()=>this.render()),this.on_change([e,n],()=>this.updateDeck()),this.on_change([i],()=>this._update_layers()),this.on_change([a],()=>this._connect_sources(!0)),this._layer_map={},this._connected=[],this._connect_sources()}_update_layers(){this._layer_map={},this._update_data(!0)}_connect_sources(e=!1){for(const e of this.model.data_sources)this._connected.indexOf(e)<0&&(this.connect(e.properties.data.change,()=>this._update_data(!0)),this._connected.push(e));this._update_data(e)}initialize(){if(super.initialize(),window.deck.JSONConverter){const{CSVLoader:e,Tile3DLoader:t}=window.loaders;window.loaders.registerLoaders([t,e]);const o={classes:l(),enumerations:{COORDINATE_SYSTEM:window.deck.COORDINATE_SYSTEM,GL:d.default},constants:{Tile3DLoader:t}};this.jsonConverter=new window.deck.JSONConverter({configuration:o})}}_update_data(e=!0){let t=0;for(const e of this.model.layers){let o;if(t+=1,t-1 in this._layer_map)o=this.model.data_sources[this._layer_map[t-1]];else{if(\"number\"!=typeof e.data)continue;this._layer_map[t-1]=e.data,o=this.model.data_sources[e.data]}const i=[],n=o.columns();for(let e=0;e<o.get_length();e++){const t={};for(const i of n){let n=o.get_array(i);const a=null==n[0].shape?null:n[0].shape;null!=a&&a.length>1&&\"number\"==typeof a[0]?t[i]=n.slice(e*a[1],e*a[1]+a[1]):t[i]=n[e]}i.push(t)}e.data=i}e&&this.updateDeck()}_on_click_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.clickState=t}_on_hover_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.hoverState=t}_on_viewState_event(e){this.model.viewState=e.viewState}getData(){return Object.assign(Object.assign({},this.model.data),{layers:this.model.layers,initialViewState:this.model.initialViewState,onViewStateChange:e=>this._on_viewState_event(e),onClick:e=>this._on_click_event(e),onHover:e=>this._on_hover_event(e)})}updateDeck(){if(!this.deckGL)return void this.render();const e=this.getData();if(window.deck.updateDeck)window.deck.updateDeck(e,this.deckGL);else{const t=this.jsonConverter.convert(e);this.deckGL.setProps(t)}}createDeck({mapboxApiKey:e,container:t,jsonInput:o,tooltip:i}){let n;try{const a=this.jsonConverter.convert(o),s=r.makeTooltip(i);n=new window.deck.DeckGL(Object.assign(Object.assign({},a),{map:window.mapboxgl,mapboxApiAccessToken:e,container:t,getTooltip:s}))}catch(e){console.error(e)}return n}render(){super.render();const e=n.div({class:\"deckgl\"});c.set_size(e,this.model);const t=this.model.mapbox_api_key,o=this.model.tooltip,i=this.getData();window.deck.createDeck?this.deckGL=window.deck.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}):this.deckGL=this.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}),this.el.appendChild(e)}}o.DeckGLPlotView=_,_.__name__=\"DeckGLPlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_DeckGLPlot(){this.prototype.default_view=_,this.define({data:[a.Any],data_sources:[a.Array,[]],clickState:[a.Any],hoverState:[a.Any],initialViewState:[a.Any],layers:[a.Array,[]],mapbox_api_key:[a.String],tooltip:[a.Any],viewState:[a.Any]}),this.override({height:400,width:600})}}o.DeckGLPlot=h,h.__name__=\"DeckGLPlot\",h.__module__=\"panel.models.deckgl\",h.init_DeckGLPlot()},\n",
+       "      \"064eac2866\": function _(e,t,n){\n",
+       "      /*\n",
+       "          This file was adapted from https://github.com/uber/deck.gl/ the LICENSE\n",
+       "          below is preserved to comply with the original license.\n",
+       "          \n",
+       "          Copyright (c) 2015 - 2017 Uber Technologies, Inc.\n",
+       "          \n",
+       "          Permission is hereby granted, free of charge, to any person obtaining a copy\n",
+       "          of this software and associated documentation files (the \"Software\"), to deal\n",
+       "          in the Software without restriction, including without limitation the rights\n",
+       "          to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n",
+       "          copies of the Software, and to permit persons to whom the Software is\n",
+       "          furnished to do so, subject to the following conditions:\n",
+       "          \n",
+       "          The above copyright notice and this permission notice shall be included in\n",
+       "          all copies or substantial portions of the Software.\n",
+       "          \n",
+       "          THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n",
+       "          IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n",
+       "          FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n",
+       "          AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n",
+       "          LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n",
+       "          OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n",
+       "          THE SOFTWARE.\n",
+       "          */\n",
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+       "      \"093eb75864\": function 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i=s(this.type,this.json,this.useToJSON?this.json.toJSON():this.json);e.appendChild(document.createTextNode(i)),t.appendChild(e)}if(this.isObject&&this.config.hoverPreviewEnabled){var a=m(\"span\",\"preview-text\");a.appendChild(document.createTextNode(this.getInlinepreview())),t.appendChild(a)}var l=m(\"div\",\"children\");return this.isObject&&l.classList.add(f(\"object\")),this.isArray&&l.classList.add(f(\"array\")),this.isEmpty&&l.classList.add(f(\"empty\")),this.config&&this.config.theme&&this.element.classList.add(f(this.config.theme)),this.isOpen&&this.element.classList.add(f(\"open\")),this.element.appendChild(t),this.element.appendChild(l),this.isObject&&this.isOpen&&this.appendChildren(),this.isObject&&!this.useToJSON&&t.addEventListener(\"click\",this.toggleOpen.bind(this)),this.element},t.prototype.appendChildren=function(e){var r=this;void 0===e&&(e=!1);var n=this.element.querySelector(\"div.\"+f(\"children\"));if(n&&!this.isEmpty)if(e){var o=0,i=function(){var e=r.keys[o],s=new t(r.json[e],r.open-1,r.config,e);n.appendChild(s.render()),(o+=1)<r.keys.length&&(o>10?i():p(i))};p(i)}else this.keys.forEach((function(e){var o=new t(r.json[e],r.open-1,r.config,e);n.appendChild(o.render())}))},t.prototype.removeChildren=function(t){void 0===t&&(t=!1);var e=this.element.querySelector(\"div.\"+f(\"children\"));if(t){var r=0,n=function(){e&&e.children.length&&(e.removeChild(e.children[0]),(r+=1)>10?n():p(n))};p(n)}else e&&(e.innerHTML=\"\")},t}();r.default=h},\n",
+       "      \"61c9ac7aac\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(\"tslib\"),s=e(\"@bokehjs/models/widgets/input_widget\"),o=e(\"@bokehjs/styles/buttons\"),n=l.__importStar(e(\"@bokehjs/core/properties\"));class a extends s.InputWidgetView{constructor(){super(...arguments),this._downloadable=!1,this._embed=!1,this._prev_href=\"\",this._prev_download=\"\"}initialize(){super.initialize(),this.model.data&&this.model.filename&&(this._embed=!0)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.button_type.change,()=>this._update_button_style()),this.connect(this.model.properties.filename.change,()=>this._update_download()),this.connect(this.model.properties._transfers.change,()=>this._handle_click()),this.connect(this.model.properties.label.change,()=>this._update_label())}render(){super.render(),this.group_el.style.display=\"flex\",this.group_el.style.alignItems=\"stretch\",this.anchor_el=document.createElement(\"a\"),this._update_button_style(),this._update_label(),this.model.disabled?(this.anchor_el.setAttribute(\"disabled\",\"\"),this._downloadable=!1):(this.anchor_el.removeAttribute(\"disabled\"),this._prev_download&&(this.anchor_el.download=this._prev_download),this._prev_href&&(this.anchor_el.href=this._prev_href),this.anchor_el.download&&this.anchor_el.download&&(this._downloadable=!0)),this._embed?this._make_link_downloadable():(this._click_listener=this._increment_clicks.bind(this),this.anchor_el.addEventListener(\"click\",this._click_listener)),this.group_el.appendChild(this.anchor_el)}_increment_clicks(){this.model.clicks=this.model.clicks+1}_handle_click(){!this.model.auto&&this._downloadable||(this._make_link_downloadable(),!this._embed&&this.model.auto&&(this.anchor_el.removeEventListener(\"click\",this._click_listener),this.anchor_el.click(),this.anchor_el.removeAttribute(\"href\"),this.anchor_el.removeAttribute(\"download\"),this.anchor_el.addEventListener(\"click\",this._click_listener)),this._prev_href=this.anchor_el.getAttribute(\"href\"),this._prev_download=this.anchor_el.getAttribute(\"download\"))}_make_link_downloadable(){this._update_href(),this._update_download(),this.anchor_el.download&&this.anchor_el.href&&(this._downloadable=!0)}_update_href(){if(this.model.data){const e=function(e){const t=atob(e.split(\",\")[1]),i=e.split(\",\")[0].split(\":\")[1].split(\";\")[0],l=new ArrayBuffer(t.length),s=new Uint8Array(l);for(let e=0;e<t.length;e++)s[e]=t.charCodeAt(e);return new Blob([l],{type:i})}(this.model.data);this.anchor_el.href=URL.createObjectURL(e)}}_update_download(){this.model.filename&&(this.anchor_el.download=this.model.filename)}_update_label(){this.anchor_el.textContent=this.model.label}_update_button_style(){if(this.anchor_el.hasAttribute(\"class\")){const e=this.anchor_el.classList.item(1);e&&this.anchor_el.classList.replace(e,o.bk_btn_type(this.model.button_type))}else this.anchor_el.classList.add(o.bk_btn),this.anchor_el.classList.add(o.bk_btn_type(this.model.button_type))}}i.FileDownloadView=a,a.__name__=\"FileDownloadView\";class h extends s.InputWidget{constructor(e){super(e)}static init_FileDownload(){this.prototype.default_view=a,this.define({auto:[n.Boolean,!1],clicks:[n.Number,0],data:[n.String,null],label:[n.String,\"Download\"],filename:[n.String,null],button_type:[n.ButtonType,\"default\"],_transfers:[n.Number,0]}),this.override({title:\"\"})}}i.FileDownload=h,h.__name__=\"FileDownload\",h.__module__=\"panel.models.widgets\",h.init_FileDownload()},\n",
+       "      \"7b859fb3cf\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(\"@bokehjs/models/widgets/markup\"),n=e(\"7116a7a602\");class r extends n.PanelMarkupView{render(){super.render(),this.markup_el.innerHTML=this.model.text,window.renderMathInElement&&window.renderMathInElement(this.el,{delimiters:[{left:\"$$\",right:\"$$\",display:!0},{left:\"\\\\[\",right:\"\\\\]\",display:!0},{left:\"$\",right:\"$\",display:!1},{left:\"\\\\(\",right:\"\\\\)\",display:!1}]})}}i.KaTeXView=r,r.__name__=\"KaTeXView\";class s extends a.Markup{constructor(e){super(e)}static init_KaTeX(){this.prototype.default_view=r}}i.KaTeX=s,s.__name__=\"KaTeX\",s.__module__=\"panel.models.katex\",s.init_KaTeX()},\n",
+       "      \"0c21036737\": function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(\"@bokehjs/models/widgets/markup\"),s=e(\"7116a7a602\");class _ extends s.PanelMarkupView{initialize(){super.initialize(),this._hub=window.MathJax.Hub,this._hub.Config({tex2jax:{inlineMath:[[\"$\",\"$\"],[\"\\\\(\",\"\\\\)\"]]}})}render(){super.render(),this._hub&&(this.markup_el.innerHTML=this.model.text,this._hub.Queue([\"Typeset\",this._hub,this.markup_el]))}}a.MathJaxView=_,_.__name__=\"MathJaxView\";class h extends i.Markup{constructor(e){super(e)}static init_MathJax(){this.prototype.default_view=_}}a.MathJax=h,h.__name__=\"MathJax\",h.__module__=\"panel.models.mathjax\",h.init_MathJax()},\n",
+       "      \"79c41bbf71\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/models/widgets/widget\");function n(e){e.forEach(e=>e.style.borderStyle=\"inset\")}function a(e){e.forEach(e=>e.style.borderStyle=\"outset\")}class r extends l.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.value.change,()=>this.render()),this.connect(this.model.properties.loop_policy.change,()=>this.set_loop_state(this.model.loop_policy)),this.connect(this.model.properties.show_loop_controls.change,()=>{this.model.show_loop_controls&&this.loop_state.parentNode!=this.groupEl?this.groupEl.appendChild(this.loop_state):this.model.show_loop_controls||this.loop_state.parentNode!=this.groupEl||this.el.removeChild(this.loop_state)})}get_height(){return 250}render(){if(null!=this.sliderEl)return this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),void(this.sliderEl.value=String(this.model.value));super.render(),this.groupEl=o.div(),this.groupEl.style.display=\"flex\",this.groupEl.style.flexDirection=\"column\",this.groupEl.style.alignItems=\"center\",this.sliderEl=document.createElement(\"input\"),this.sliderEl.style.width=\"100%\",this.sliderEl.setAttribute(\"type\",\"range\"),this.sliderEl.value=String(this.model.value),this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),this.sliderEl.onchange=e=>this.set_frame(parseInt(e.target.value));const e=o.div();e.style.cssText=\"margin: 0 auto; display: flex; padding: 5px; align-items: stretch; width: 100%;\";const t=\"text-align: center; min-width: 20px; flex-grow: 1; margin: 2px\",s=\"text-align: center; min-width: 40px; flex-grow: 2; margin: 2px\",i=document.createElement(\"button\");i.style.cssText=t,i.appendChild(document.createTextNode(\"–\")),i.onclick=()=>this.slower(),e.appendChild(i);const l=document.createElement(\"button\");l.style.cssText=s,l.appendChild(document.createTextNode(\"❚◀◀\")),l.onclick=()=>this.first_frame(),e.appendChild(l);const r=document.createElement(\"button\");r.style.cssText=s,r.appendChild(document.createTextNode(\"❚◀\")),r.onclick=()=>this.previous_frame(),e.appendChild(r);const d=document.createElement(\"button\");d.style.cssText=s,d.appendChild(document.createTextNode(\"◀\")),d.onclick=()=>this.reverse_animation(),e.appendChild(d);const h=document.createElement(\"button\");h.style.cssText=s,h.appendChild(document.createTextNode(\"❚❚\")),h.onclick=()=>this.pause_animation(),e.appendChild(h);const p=document.createElement(\"button\");p.style.cssText=s,p.appendChild(document.createTextNode(\"▶\")),p.onclick=()=>this.play_animation(),e.appendChild(p);const c=document.createElement(\"button\");c.style.cssText=s,c.appendChild(document.createTextNode(\"▶❚\")),c.onclick=()=>this.next_frame(),e.appendChild(c);const m=document.createElement(\"button\");m.style.cssText=s,m.appendChild(document.createTextNode(\"▶▶❚\")),m.onclick=()=>this.last_frame(),e.appendChild(m);const _=document.createElement(\"button\");_.style.cssText=t,_.appendChild(document.createTextNode(\"+\")),_.onclick=()=>this.faster(),e.appendChild(_),this._toggle_reverse=()=>{a([h,p]),n([d])},this._toogle_pause=()=>{a([d,p]),n([h])},this._toggle_play=()=>{a([d,h]),n([p])},this.loop_state=document.createElement(\"form\"),this.loop_state.style.cssText=\"margin: 0 auto; display: table\";const u=document.createElement(\"input\");u.type=\"radio\",u.value=\"once\",u.name=\"state\";const g=document.createElement(\"label\");g.innerHTML=\"Once\",g.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const f=document.createElement(\"input\");f.setAttribute(\"type\",\"radio\"),f.setAttribute(\"value\",\"loop\"),f.setAttribute(\"name\",\"state\");const v=document.createElement(\"label\");v.innerHTML=\"Loop\",v.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const y=document.createElement(\"input\");y.setAttribute(\"type\",\"radio\"),y.setAttribute(\"value\",\"reflect\"),y.setAttribute(\"name\",\"state\");const x=document.createElement(\"label\");x.innerHTML=\"Reflect\",x.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\",\"once\"==this.model.loop_policy?u.checked=!0:\"loop\"==this.model.loop_policy?f.checked=!0:y.checked=!0,this.loop_state.appendChild(u),this.loop_state.appendChild(g),this.loop_state.appendChild(f),this.loop_state.appendChild(v),this.loop_state.appendChild(y),this.loop_state.appendChild(x),this.groupEl.appendChild(this.sliderEl),this.groupEl.appendChild(e),this.model.show_loop_controls&&this.groupEl.appendChild(this.loop_state),this.el.appendChild(this.groupEl)}set_frame(e){this.model.value!=e&&(this.model.value=e),this.sliderEl.value!=String(e)&&(this.sliderEl.value=String(e))}get_loop_state(){for(var e=this.loop_state.state,t=0;t<e.length;t++){var s=e[t];if(s.checked)return s.value}return\"once\"}set_loop_state(e){for(var t=this.loop_state.state,s=0;s<t.length;s++){var i=t[s];i.value==e&&(i.checked=!0)}}next_frame(){this.set_frame(Math.min(this.model.end,this.model.value+this.model.step))}previous_frame(){this.set_frame(Math.max(this.model.start,this.model.value-this.model.step))}first_frame(){this.set_frame(this.model.start)}last_frame(){this.set_frame(this.model.end)}slower(){this.model.interval=Math.round(this.model.interval/.7),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}faster(){this.model.interval=Math.round(.7*this.model.interval),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}anim_step_forward(){if(this.model.value<this.model.end)this.next_frame();else{var e=this.get_loop_state();\"loop\"==e?this.first_frame():\"reflect\"==e?(this.last_frame(),this.reverse_animation()):(this.pause_animation(),this.last_frame())}}anim_step_reverse(){if(this.model.value>this.model.start)this.previous_frame();else{var e=this.get_loop_state();\"loop\"==e?this.last_frame():\"reflect\"==e?(this.first_frame(),this.play_animation()):(this.pause_animation(),this.first_frame())}}pause_animation(){this._toogle_pause(),this.model.direction=0,this.timer&&(clearInterval(this.timer),this.timer=null)}play_animation(){this.pause_animation(),this._toggle_play(),this.model.direction=1,this.timer||(this.timer=setInterval(()=>this.anim_step_forward(),this.model.interval))}reverse_animation(){this.pause_animation(),this._toggle_reverse(),this.model.direction=-1,this.timer||(this.timer=setInterval(()=>this.anim_step_reverse(),this.model.interval))}}s.PlayerView=r,r.__name__=\"PlayerView\";class d extends l.Widget{constructor(e){super(e)}static init_Player(){this.prototype.default_view=r,this.define({direction:[i.Number,0],interval:[i.Number,500],start:[i.Number],end:[i.Number],step:[i.Number,1],loop_policy:[i.Any,\"once\"],value:[i.Any,0],show_loop_controls:[i.Boolean,!0]}),this.override({width:400})}}s.Player=d,d.__name__=\"Player\",d.__module__=\"panel.models.widgets\",d.init_Player()},\n",
+       "      \"56da045fbd\": function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),l=t(\"@bokehjs/core/util/object\"),r=t(\"@bokehjs/core/util/eq\"),s=t(\"@bokehjs/models/layouts/html_box\"),n=t(\"99a25e6992\"),a=t(\"990b5dd5c7\"),p=t(\"7116a7a602\"),h=(t,e,o)=>{let i=Array.isArray(e)?[]:{};if(\"click\"===o||\"hover\"===o||\"selected\"===o){const o=[];if(null==e)return null;const l=t.data;for(let t=0;t<e.points.length;t++){const i=e.points[t];let r={};for(let t in i){const e=i[t];!i.hasOwnProperty(t)||Array.isArray(e)||a.isPlainObject(e)||(r[t]=e)}null!=i&&(i.hasOwnProperty(\"curveNumber\")&&i.hasOwnProperty(\"pointNumber\")&&l[i.curveNumber].hasOwnProperty(\"customdata\")&&(r.customdata=l[i.curveNumber].customdata[i.pointNumber]),i.hasOwnProperty(\"pointNumbers\")&&(r.pointNumbers=i.pointNumbers)),o[t]=r}i.points=o}else if(\"relayout\"===o||\"restyle\"===o)for(let t in e)e.hasOwnProperty(t)&&(i[t]=e[t]);return e.hasOwnProperty(\"range\")&&(i.range=e.range),e.hasOwnProperty(\"lassoPoints\")&&(i.lassoPoints=e.lassoPoints),i};class _ extends p.PanelHTMLBoxView{constructor(){super(...arguments),this._settingViewport=!1,this._plotInitialized=!1,this._reacting=!1,this._relayouting=!1,this._end_relayouting=n.debounce(()=>{this._relayouting=!1},2e3,!1)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.viewport_update_policy.change,this._updateSetViewportFunction),this.connect(this.model.properties.viewport_update_throttle.change,this._updateSetViewportFunction),this.connect(this.model.properties._render_count.change,this.plot),this.connect(this.model.properties.viewport.change,this._updateViewportFromProperty)}render(){super.render(),window.Plotly&&this.plot()}plot(){if(!window.Plotly)return;const t=[];for(let e=0;e<this.model.data.length;e++)t.push(this._get_trace(e,!1));let e=a.deepCopy(this.model.layout);if(this._relayouting){const t=this.el.layout;Object.keys(t).reduce((t,o)=>{\"axis\"===o.slice(1,5)&&\"range\"in t&&(e[o].range=t.range)},{})}this._reacting=!0,window.Plotly.react(this.el,t,e,this.model.config).then(()=>{this._updateSetViewportFunction(),this._updateViewportProperty(),this._plotInitialized||(this.el.on(\"plotly_relayout\",t=>{!0!==t._update_from_property&&(this.model.relayout_data=h(this.el,t,\"relayout\"),this._updateViewportProperty(),this._end_relayouting())}),this.el.on(\"plotly_relayouting\",()=>{\"mouseup\"!==this.model.viewport_update_policy&&(this._relayouting=!0,this._updateViewportProperty())}),this.el.on(\"plotly_restyle\",t=>{this.model.restyle_data=h(this.el,t,\"restyle\"),this._updateViewportProperty()}),this.el.on(\"plotly_click\",t=>{this.model.click_data=h(this.el,t,\"click\")}),this.el.on(\"plotly_hover\",t=>{this.model.hover_data=h(this.el,t,\"hover\")}),this.el.on(\"plotly_selected\",t=>{this.model.selected_data=h(this.el,t,\"selected\")}),this.el.on(\"plotly_clickannotation\",t=>{delete t.event,delete t.fullAnnotation,this.model.clickannotation_data=t}),this.el.on(\"plotly_deselect\",()=>{this.model.selected_data=null}),this.el.on(\"plotly_unhover\",()=>{this.model.hover_data=null})),this._plotInitialized=!0,this._reacting=!1})}_get_trace(t,e){const o=l.clone(this.model.data[t]),i=this.model.data_sources[t];for(const t of i.columns()){let l=i.get_array(t)[0];if(null!=l.shape&&l.shape.length>1){const t=[],e=l.shape;for(let o=0;o<e[0];o++)t.push(l.slice(o*e[1],(o+1)*e[1]));l=t}let r=t.split(\".\"),s=r[r.length-1],n=o;for(let t of r.slice(0,-1))n=n[t];e&&1==r.length?n[s]=[l]:n[s]=l}return o}_updateViewportFromProperty(){if(!window.Plotly||this._settingViewport||this._reacting||!this.model.viewport)return;const t=this.el._fullLayout;Object.keys(this.model.viewport).reduce((e,o)=>{if(r.isEqual(a.get(t,o),e))return!0;{let t=a.deepCopy(this.model.viewport);return t._update_from_property=!0,window.Plotly.relayout(this.el,t),!1}},{})}_updateViewportProperty(){const t=this.el._fullLayout;let e={};for(let o in t){if(!t.hasOwnProperty(o))continue;let i=o.slice(0,5);\"xaxis\"!==i&&\"yaxis\"!==i||(e[o+\".range\"]=a.deepCopy(t[o].range))}r.isEqual(e,this.model.viewport)||this._setViewport(e)}_updateSetViewportFunction(){\"continuous\"===this.model.viewport_update_policy||\"mouseup\"===this.model.viewport_update_policy?this._setViewport=t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}:this._setViewport=a.throttle(t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)},this.model.viewport_update_throttle)}}o.PlotlyPlotView=_,_.__name__=\"PlotlyPlotView\";class d extends s.HTMLBox{constructor(t){super(t)}static init_PlotlyPlot(){this.prototype.default_view=_,this.define({data:[i.Array,[]],layout:[i.Any,{}],config:[i.Any,{}],data_sources:[i.Array,[]],relayout_data:[i.Any,{}],restyle_data:[i.Array,[]],click_data:[i.Any,{}],hover_data:[i.Any,{}],clickannotation_data:[i.Any,{}],selected_data:[i.Any,{}],viewport:[i.Any,{}],viewport_update_policy:[i.String,\"mouseup\"],viewport_update_throttle:[i.Number,200],_render_count:[i.Number,0]})}}o.PlotlyPlot=d,d.__name__=\"PlotlyPlot\",d.__module__=\"panel.models.plotly\",d.init_PlotlyPlot()},\n",
+       "      \"99a25e6992\": function _(n,l,u){function t(n,l,u){var t,e,o,a,r;function i(){var c=Date.now()-a;c<l&&c>=0?t=setTimeout(i,l-c):(t=null,u||(r=n.apply(o,e),o=e=null))}null==l&&(l=100);var c=function(){o=this,e=arguments,a=Date.now();var c=u&&!t;return t||(t=setTimeout(i,l)),c&&(r=n.apply(o,e),o=e=null),r};return c.clear=function(){t&&(clearTimeout(t),t=null)},c.flush=function(){t&&(r=n.apply(o,e),o=e=null,clearTimeout(t),t=null)},c}t.debounce=t,l.exports=t},\n",
+       "      \"990b5dd5c7\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.get=(t,e,n)=>{const r=n=>String.prototype.split.call(e,n).filter(Boolean).reduce((t,e)=>null!=t?t[e]:t,t),o=r(/[,[\\]]+?/)||r(/[,[\\].]+?/);return void 0===o||o===t?n:o},n.throttle=function(t,e){var n=0;return function(){var r=Number(new Date);r-n>=e&&(t(),n=r)}},n.deepCopy=function t(e){var n;if(null==e||\"object\"!=typeof e)return e;if(e instanceof Array){n=[];for(var r=0,o=e.length;r<o;r++)n[r]=t(e[r]);return n}if(e instanceof Object){const n={};for(const r in e){const o=r;e.hasOwnProperty(o)&&(n[o]=t(e[o]))}return n}throw new Error(\"Unable to copy obj! Its type isn't supported.\")},n.isPlainObject=function(t){return\"[object Object]\"===Object.prototype.toString.call(t)}},\n",
+       "      \"76307e5afa\": function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),r=e(\"7116a7a602\");class l extends o.HTMLBoxView{connect_signals(){super.connect_signals();const e=()=>{this.render(),this.root.compute_layout()};this.connect(this.model.properties.height.change,e),this.connect(this.model.properties.width.change,e),this.connect(this.model.properties.height_policy.change,e),this.connect(this.model.properties.width_policy.change,e),this.connect(this.model.properties.sizing_mode.change,e),this.connect(this.model.properties.active.change,()=>this.setCSS()),this.connect(this.model.properties.bar_color.change,()=>this.setCSS()),this.connect(this.model.properties.css_classes.change,()=>this.setCSS()),this.connect(this.model.properties.value.change,()=>this.setValue()),this.connect(this.model.properties.max.change,()=>this.setMax())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.progressEl=document.createElement(\"progress\"),this.setValue(),this.setMax(),r.set_size(this.progressEl,this.model),this.setCSS();for(const s in e)this.progressEl.style.setProperty(s,e[s]);this.el.appendChild(this.progressEl)}setCSS(){let e=this.model.css_classes.join(\" \")+\" \"+this.model.bar_color;this.model.active&&(e+=\" active\"),this.progressEl.className=e}setValue(){null!=this.model.value&&(this.progressEl.value=this.model.value)}setMax(){null!=this.model.max&&(this.progressEl.max=this.model.max)}_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new r.CachedVariadicBox(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}}t.ProgressView=l,l.__name__=\"ProgressView\";class h extends o.HTMLBox{constructor(e){super(e)}static init_Progress(){this.prototype.default_view=l,this.define({active:[i.Boolean,!0],bar_color:[i.String,\"primary\"],style:[i.Any,{}],max:[i.Number,100],value:[i.Number,null]})}}t.Progress=h,h.__name__=\"Progress\",h.__module__=\"panel.models.widgets\",h.init_Progress()},\n",
+       "      \"38b2bc9574\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),a=e(\"@bokehjs/core/view\"),o=e(\"@bokehjs/core/util/array\"),c=e(\"@bokehjs/model\"),n=e(\"@bokehjs/protocol/receiver\");class r extends a.View{renderTo(){}}s.StateView=r,r.__name__=\"StateView\";class _ extends c.Model{constructor(e){super(e),this._receiver=new n.Receiver,this._cache={}}apply_state(e){this._receiver.consume(e.header),this._receiver.consume(e.metadata),this._receiver.consume(e.content),this._receiver.message&&this.document&&this.document.apply_json_patch(this._receiver.message.content)}_receive_json(e,t){const s=JSON.parse(e);this._cache[t]=s;let i=this.state;for(const e of this.values)i=i[e];i===t?this.apply_state(s):this._cache[i]&&this.apply_state(this._cache[i])}set_state(e,t){let s=o.copy(this.values);s[this.widgets[e.id]]=t;let i=this.state;for(const e of s)i=i[e];var a,c,n;this.values=s,this.json?this._cache[i]?this.apply_state(this._cache[i]):(a=i,c=e=>this._receive_json(e,i),(n=new XMLHttpRequest).overrideMimeType(\"application/json\"),n.open(\"GET\",a,!0),n.onreadystatechange=function(){4==n.readyState&&200==n.status&&c(n.responseText)},n.send(null)):this.apply_state(i)}static init_State(){this.prototype.default_view=r,this.define({json:[i.Boolean,!1],state:[i.Any,{}],widgets:[i.Any,{}],values:[i.Any,[]]})}}s.State=_,_.__name__=\"State\",_.__module__=\"panel.models.state\",_.init_State()},\n",
+       "      \"294adeb985\": function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),a=t(\"@bokehjs/core/util/types\"),n=t(\"@bokehjs/models/layouts/html_box\");class c extends n.HTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,this._plot),this.connect(this.model.properties.data_sources.change,()=>this._connect_sources()),this._connected=[],this._connect_sources()}_connect_sources(){for(const t in this.model.data_sources){const e=this.model.data_sources[t];this._connected.indexOf(t)<0&&(this.connect(e.properties.data.change,this._plot),this._connected.push(t))}}_fetch_datasets(){const t={};for(const e in this.model.data_sources){const s=this.model.data_sources[e],o=[],a=s.columns();for(let t=0;t<s.get_length();t++){const e={};for(const o of a)e[o]=s.data[o][t];o.push(e)}t[e]=o}return t}render(){super.render(),this._plot()}_plot(){const t=this.model.data;if(null!=t&&window.vegaEmbed){if(this.model.data_sources&&Object.keys(this.model.data_sources).length>0){const e=this._fetch_datasets();if(\"data\"in e&&(t.data.values=e.data,delete e.data),null!=t.data){const s=a.isArray(t.data)?t.data:[t.data];for(const t of s)t.name in e&&(t.values=e[t.name],delete e[t.name])}this.model.data.datasets=e}window.vegaEmbed(this.el,this.model.data,{actions:!1})}}}s.VegaPlotView=c,c.__name__=\"VegaPlotView\";class i extends n.HTMLBox{constructor(t){super(t)}static init_VegaPlot(){this.prototype.default_view=c,this.define({data:[o.Any],data_sources:[o.Any]})}}s.VegaPlot=i,i.__name__=\"VegaPlot\",i.__module__=\"panel.models.vega\",i.init_VegaPlot()},\n",
+       "      \"b0c3e9e9c2\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.videoEl.controls=!0,this.videoEl.src=this.model.value,this.videoEl.currentTime=this.model.time,this.videoEl.loop=this.model.loop,null!=this.model.volume?this.videoEl.volume=this.model.volume/100:this.model.volume=100*this.videoEl.volume,this.videoEl.onpause=()=>this.model.paused=!0,this.videoEl.onplay=()=>this.model.paused=!1,this.videoEl.ontimeupdate=()=>this.update_time(this),this.videoEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.videoEl),this.model.paused||this.videoEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.videoEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.videoEl.volume)}set_loop(){this.videoEl.loop=this.model.loop}set_paused(){!this.videoEl.paused&&this.model.paused&&this.videoEl.pause(),this.videoEl.paused&&!this.model.paused&&this.videoEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.videoEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.videoEl.currentTime=this.model.time)}set_value(){this.videoEl.src=this.model.value}}t.VideoView=d,d.__name__=\"VideoView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_Video(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}t.Video=h,h.__name__=\"Video\",h.__module__=\"panel.models.widgets\",h.init_Video()},\n",
+       "      \"3c7145a2fa\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"7116a7a602\");class a extends h.PanelHTMLBoxView{constructor(){super(...arguments),this.constraints={audio:!1,video:!0}}initialize(){super.initialize(),null!==this.model.timeout&&this.set_timeout()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.timeout.change,()=>this.set_timeout()),this.connect(this.model.properties.snapshot.change,()=>this.snapshot()),this.connect(this.model.properties.paused.change,()=>this.pause())}pause(){this.model.paused&&(null!=this.timer&&(clearInterval(this.timer),this.timer=null),this.videoEl.pause()),this.set_timeout()}set_timeout(){this.timer&&(clearInterval(this.timer),this.timer=null),this.model.timeout>0&&(this.timer=setInterval(()=>this.snapshot(),this.model.timeout))}snapshot(){this.canvasEl.width=this.videoEl.videoWidth,this.canvasEl.height=this.videoEl.videoHeight;const e=this.canvasEl.getContext(\"2d\");e&&e.drawImage(this.videoEl,0,0,this.canvasEl.width,this.canvasEl.height),this.model.value=this.canvasEl.toDataURL(\"image/\"+this.model.format,.95)}remove(){super.remove(),this.timer&&(clearInterval(this.timer),this.timer=null)}render(){super.render(),this.videoEl||(this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.canvasEl=document.createElement(\"canvas\"),this.el.appendChild(this.videoEl),navigator.mediaDevices.getUserMedia&&navigator.mediaDevices.getUserMedia(this.constraints).then(e=>{this.videoEl.srcObject=e,this.model.paused||this.videoEl.play()}).catch(console.error))}}i.VideoStreamView=a,a.__name__=\"VideoStreamView\";class l extends o.HTMLBox{constructor(e){super(e)}static init_VideoStream(){this.prototype.default_view=a,this.define({format:[s.String,\"png\"],paused:[s.Boolean,!1],snapshot:[s.Boolean,!1],timeout:[s.Number,0],value:[s.Any]}),this.override({height:240,width:320})}}i.VideoStream=l,l.__name__=\"VideoStream\",l.__module__=\"panel.models.widgets\",l.init_VideoStream()},\n",
+       "      \"ecfbb965eb\": function _(e,o,l){Object.defineProperty(l,\"__esModule\",{value:!0});var V=e(\"5b5e56e89a\");l.VTKPlot=V.VTKPlot;var t=e(\"729dd26c71\");l.VTKVolumePlot=t.VTKVolumePlot;var K=e(\"e23461e5d7\");l.VTKAxes=K.VTKAxes},\n",
+       "      \"5b5e56e89a\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/core/dom\"),a=e(\"c704c63c0a\"),o=e(\"aaf560d219\");class r extends a.AbstractVTKView{constructor(){super(...arguments),this._axes_initialized=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.axes.change,()=>{this._delete_axes(),this.model.axes&&this._set_axes(),this._vtk_renwin.getRenderWindow().render()}),this.el.addEventListener(\"mouseenter\",()=>{const e=this._vtk_renwin.getInteractor();this.model.enable_keybindings&&(document.querySelector(\"body\").addEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").addEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").addEventListener(\"keyup\",e.handleKeyUp))}),this.el.addEventListener(\"mouseleave\",()=>{const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)})}render(){super.render(),this._axes=null,this._axes_initialized=!1,this._plot()}after_layout(){this._axes_initialized||(this._render_axes_canvas(),this._axes_initialized=!0)}_render_axes_canvas(){const e=this._vtk_container.getElementsByTagName(\"canvas\");if(1!=e.length)throw Error(\"Error at initialization of the 3D scene, container should have one and only one canvas\");e[0].classList.add(\"scene3d-canvas\");const t=i.canvas({style:{position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"}});t.classList.add(\"axes-canvas\"),this._vtk_container.appendChild(t),this._vtk_renwin.setResizeCallback(()=>{const e=this._vtk_container.getBoundingClientRect(),n=Math.floor(e.width*window.devicePixelRatio),s=Math.floor(e.height*window.devicePixelRatio);t.setAttribute(\"width\",n.toFixed()),t.setAttribute(\"height\",s.toFixed())})}_delete_axes(){if(null==this._axes)return;Object.keys(this._axes).forEach(e=>this._vtk_renwin.getRenderer().removeActor(this._axes[e]));const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],t=e.getContext(\"2d\");t&&t.clearRect(0,0,e.clientWidth*window.devicePixelRatio,e.clientHeight*window.devicePixelRatio),this._axes=null}_set_axes(){if(this.model.axes){const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],{psActor:t,axesActor:n,gridActor:s}=this.model.axes.create_axes(e);this._axes={psActor:t,axesActor:n,gridActor:s},this._vtk_renwin.getRenderer().addActor(t),this._vtk_renwin.getRenderer().addActor(n),this._vtk_renwin.getRenderer().addActor(s)}}_plot(){if(!this.model.data)return void this._vtk_renwin.getRenderWindow().render();const e=o.vtkns.DataAccessHelper.get(\"zip\",{zipContent:atob(this.model.data),callback:t=>{const n=o.vtkns.HttpSceneLoader.newInstance({renderer:this._vtk_renwin.getRenderer(),dataAccessHelper:e}),s=o.vtk.macro.debounce(()=>{null==this._axes&&this.model.axes&&this._set_axes(),this.model.properties.camera.change.emit()},100);n.setUrl(\"index.json\"),n.onReady(s)}})}}n.VTKPlotView=r,r.__name__=\"VTKPlotView\";class d extends a.AbstractVTKPlot{constructor(e){super(e),this.outline=o.vtkns.OutlineFilter.newInstance();const t=o.vtkns.Mapper.newInstance();t.setInputConnection(this.outline.getOutputPort()),this.outline_actor=o.vtkns.Actor.newInstance(),this.outline_actor.setMapper(t)}static init_VTKPlot(){this.prototype.default_view=r,this.define({data:[s.String],axes:[s.Instance],enable_keybindings:[s.Boolean,!1]})}}n.VTKPlot=d,d.__name__=\"VTKPlot\",d.init_VTKPlot()},\n",
+       "      \"c704c63c0a\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"@bokehjs/core/dom\"),s=e(\"@bokehjs/core/util/object\"),a=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"7116a7a602\"),_=e(\"aaf560d219\");class d extends o.PanelHTMLBoxView{constructor(){super(...arguments),this._setting_camera=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>{this.invalidate_render()}),this.connect(this.model.properties.orientation_widget.change,()=>{this._orientation_widget_visibility(this.model.orientation_widget)}),this.connect(this.model.properties.camera.change,()=>this._set_camera_state())}_orientation_widget_visibility(e){this._orientationWidget.setEnabled(e),e?this._widgetManager.enablePicking():this._widgetManager.disablePicking(),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderWindow().render()}_create_orientation_widget(){const e=_.vtkns.AxesActor.newInstance(),t=_.vtkns.OrientationMarkerWidget.newInstance({actor:e,interactor:this._vtk_renwin.getInteractor()});t.setEnabled(!0),t.setViewportCorner(_.vtkns.OrientationMarkerWidget.Corners.BOTTOM_RIGHT),t.setViewportSize(.15),t.setMinPixelSize(100),t.setMaxPixelSize(300),this._orientationWidget=t;const i=_.vtkns.WidgetManager.newInstance();i.setRenderer(t.getRenderer());const n=_.vtkns.InteractiveOrientationWidget.newInstance();n.placeWidget(e.getBounds()),n.setBounds(e.getBounds()),n.setPlaceFactor(1);const r=i.addWidget(n);this._widgetManager=i,r.onOrientationChange(({direction:e})=>{const t=this._vtk_renwin.getRenderer().getActiveCamera(),i=t.getFocalPoint(),n=t.getPosition(),r=t.getViewUp(),s=Math.sqrt(Math.pow(n[0]-i[0],2)+Math.pow(n[1]-i[1],2)+Math.pow(n[2]-i[2],2));t.setPosition(i[0]+e[0]*s,i[1]+e[1]*s,i[2]+e[2]*s),e[0]&&t.setViewUp(_.majorAxis(r,1,2)),e[1]&&t.setViewUp(_.majorAxis(r,0,2)),e[2]&&t.setViewUp(_.majorAxis(r,0,1)),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}),this._orientation_widget_visibility(this.model.orientation_widget)}_get_camera_state(){if(!this._setting_camera){this._setting_camera=!0;const e=s.clone(this._vtk_renwin.getRenderer().getActiveCamera().get());delete e.classHierarchy,delete e.vtkObject,delete e.vtkCamera,delete e.viewPlaneNormal,this.model.camera=e,this._setting_camera=!1}}_set_camera_state(){if(!this._setting_camera){this._setting_camera=!0;try{this.model.camera&&this._vtk_renwin.getRenderer().getActiveCamera().set(this.model.camera)}finally{this._setting_camera=!1}this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}}render(){super.render(),this._orientationWidget=null,this._vtk_container=r.div(),o.set_size(this._vtk_container,this.model),this.el.appendChild(this._vtk_container),this._vtk_renwin=_.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container}),this._remove_default_key_binding(),this._create_orientation_widget(),this._vtk_renwin.getRenderer().getActiveCamera().onModified(()=>this._get_camera_state()),this._set_camera_state(),this.model.renderer_el=this._vtk_renwin}after_layout(){super.after_layout(),this._vtk_renwin.resize()}_remove_default_key_binding(){const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}}i.AbstractVTKView=d,d.__name__=\"AbstractVTKView\";class c extends a.HTMLBox{constructor(e){super(e)}getActors(){return this.renderer_el.getRenderer().getActors()}static init_AbstractVTKPlot(){this.define({orientation_widget:[n.Boolean,!1],camera:[n.Instance]}),this.override({height:300,width:300})}}i.AbstractVTKPlot=c,c.__name__=\"AbstractVTKPlot\",c.__module__=\"panel.models.vtk\",c.init_AbstractVTKPlot()},\n",
+       "      \"aaf560d219\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"@bokehjs/core/util/array\");function a(t){const e=Math.min(Math.max(Math.round(t),0),255).toString(16);return 2==e.length?e:\"0\"+e}function o(t,e,n){return\"#\"+a(t)+a(e)+a(n)}function i(t){for(var e=new ArrayBuffer(t.length),n=new Uint8Array(e),r=0,a=t.length;r<a;r++)n[r]=t.charCodeAt(r);return e}n.ARRAY_TYPES={uint8:Uint8Array,int8:Int8Array,uint16:Uint16Array,int16:Int16Array,uint32:Uint32Array,int32:Int32Array,float32:Float32Array,float64:Float64Array},n.vtk=window.vtk,n.vtkns={},n.vtk&&(n.vtkns.DataArray=n.vtk.Common.Core.vtkDataArray,n.vtkns.ImageData=n.vtk.Common.DataModel.vtkImageData,n.vtkns.OutlineFilter=n.vtk.Filters.General.vtkOutlineFilter,n.vtkns.CubeSource=n.vtk.Filters.Sources.vtkCubeSource,n.vtkns.LineSource=n.vtk.Filters.Sources.vtkLineSource,n.vtkns.PlaneSource=n.vtk.Filters.Sources.vtkPlaneSource,n.vtkns.PointSource=n.vtk.Filters.Sources.vtkPointSource,n.vtkns.OrientationMarkerWidget=n.vtk.Interaction.Widgets.vtkOrientationMarkerWidget,n.vtkns.DataAccessHelper=n.vtk.IO.Core.DataAccessHelper,n.vtkns.HttpSceneLoader=n.vtk.IO.Core.vtkHttpSceneLoader,n.vtkns.ImageSlice=n.vtk.Rendering.Core.vtkImageSlice,n.vtkns.Actor=n.vtk.Rendering.Core.vtkActor,n.vtkns.AxesActor=n.vtk.Rendering.Core.vtkAxesActor,n.vtkns.Mapper=n.vtk.Rendering.Core.vtkMapper,n.vtkns.ImageMapper=n.vtk.Rendering.Core.vtkImageMapper,n.vtkns.SphereMapper=n.vtk.Rendering.Core.vtkSphereMapper,n.vtkns.WidgetManager=n.vtk.Widgets.Core.vtkWidgetManager,n.vtkns.InteractiveOrientationWidget=n.vtk.Widgets.Widgets3D.vtkInteractiveOrientationWidget,n.vtkns.PixelSpaceCallbackMapper=n.vtk.Rendering.Core.vtkPixelSpaceCallbackMapper,n.vtkns.FullScreenRenderWindow=n.vtk.Rendering.Misc.vtkFullScreenRenderWindow,n.vtkns.VolumeController=n.vtk.Interaction.UI.vtkVolumeController,n.vtkns.Volume=n.vtk.Rendering.Core.vtkVolume,n.vtkns.VolumeMapper=n.vtk.Rendering.Core.vtkVolumeMapper,n.vtkns.ColorTransferFunction=n.vtk.Rendering.Core.vtkColorTransferFunction,n.vtkns.PiecewiseFunction=n.vtk.Common.DataModel.vtkPiecewiseFunction,n.vtkns.BoundingBox=n.vtk.Common.DataModel.vtkBoundingBox),n.hexToRGB=function(t){return[parseInt(t.slice(1,3),16)/255,parseInt(t.slice(3,5),16)/255,parseInt(t.slice(5,7),16)/255]},n.rgbToHex=o,n.vtkLutToMapper=function(t){const{scale:e,nodes:a}=t.get(\"scale\",\"nodes\");if(e!==n.vtkns.ColorTransferFunction.Scale.LINEAR)throw\"Error transfer function scale not handle\";const i=a.map(t=>t.x),s=Math.min(...i),k=Math.max(...i),v=r.linspace(s,k,255),c=[0,0,0];return{low:s,high:k,palette:v.map(e=>(t.getColor(e,c),o(255*c[0],255*c[1],255*c[2])))}},n.data2VTKImageData=function(t){const e=n.vtkns.ImageData.newInstance({spacing:t.spacing});e.setDimensions(t.dims),e.setOrigin(null!=t.origin?t.origin:t.dims.map(t=>t/2));const r=n.vtkns.DataArray.newInstance({name:\"scalars\",numberOfComponents:1,values:new n.ARRAY_TYPES[t.dtype](i(atob(t.buffer)))});return e.getPointData().setScalars(r),e},n.majorAxis=function(t,e,n){const r=[0,0,0],a=Math.abs(t[e])>Math.abs(t[n])?e:n,o=t[a]>0?1:-1;return r[a]=o,r},n.cartesian_product=function(...t){return t.reduce((t,e)=>t.flatMap(t=>e.map(e=>[].concat(t,e))))}},\n",
+       "      \"729dd26c71\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"c704c63c0a\"),n=e(\"aaf560d219\");class o extends r.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.colormap.change,()=>{this.colormap_slector.value=this.model.colormap;const e=new Event(\"change\");this.colormap_slector.dispatchEvent(e)}),this.connect(this.model.properties.shadow.change,()=>{this.shadow_selector.value=this.model.shadow?\"1\":\"0\";const e=new Event(\"change\");this.shadow_selector.dispatchEvent(e)}),this.connect(this.model.properties.sampling.change,()=>{this.sampling_slider.value=this.model.sampling.toFixed(2);const e=new Event(\"input\");this.sampling_slider.dispatchEvent(e)}),this.connect(this.model.properties.edge_gradient.change,()=>{this.edge_gradient_slider.value=this.model.edge_gradient.toFixed(2);const e=new Event(\"input\");this.edge_gradient_slider.dispatchEvent(e)}),this.connect(this.model.properties.rescale.change,()=>{this._controllerWidget.setRescaleColorMap(this.model.rescale),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.ambient.change,()=>{this.volume.getProperty().setAmbient(this.model.ambient),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.diffuse.change,()=>{this.volume.getProperty().setDiffuse(this.model.diffuse),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular.change,()=>{this.volume.getProperty().setSpecular(this.model.specular),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular_power.change,()=>{this.volume.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_volume.change,()=>{this._set_volume_visibility(this.model.display_volume),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_slices.change,()=>{this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_i.change,()=>{this.image_actor_i.getMapper().setISlice(this.model.slice_i),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_j.change,()=>{this.image_actor_j.getMapper().setJSlice(this.model.slice_j),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_k.change,()=>{this.image_actor_k.getMapper().setKSlice(this.model.slice_k),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.render_background.change,()=>{this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.interpolation.change,()=>{this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderWindow().render()})}get volume(){return this._controllerWidget.getActor()}get image_actor_i(){return this._vtk_renwin.getRenderer().getActors()[0]}get image_actor_j(){return this._vtk_renwin.getRenderer().getActors()[1]}get image_actor_k(){return this._vtk_renwin.getRenderer().getActors()[2]}get shadow_selector(){return this.el.querySelector(\".js-shadow\")}get edge_gradient_slider(){return this.el.querySelector(\".js-edge\")}get sampling_slider(){return this.el.querySelector(\".js-spacing\")}get colormap_slector(){return this.el.querySelector(\".js-color-preset\")}_set_interpolation(e){\"fast_linear\"==e?(this.volume.getProperty().setInterpolationTypeToFastLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):\"linear\"==e?(this.volume.getProperty().setInterpolationTypeToLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):(this.volume.getProperty().setInterpolationTypeToNearest(),this.image_actor_i.getProperty().setInterpolationTypeToNearest())}render(){super.render(),this._controllerWidget=n.vtkns.VolumeController.newInstance({size:[400,150],rescaleColorMap:this.model.rescale}),this._vtk_image_data=n.data2VTKImageData(this.model.data),this._controllerWidget.setContainer(this.el),this._vtk_renwin.getRenderWindow().getInteractor(),this._vtk_renwin.getRenderWindow().getInteractor().setDesiredUpdateRate(45),this._plot_volume(),this._connect_controls(),this._plot_slices(),this._set_volume_visibility(this.model.display_volume),this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderer().resetCamera()}_connect_controls(){this.colormap_slector.addEventListener(\"change\",()=>{this.model.colormap=this.colormap_slector.value}),this.model.colormap?this.model.properties.colormap.change.emit():this.model.colormap=this.colormap_slector.value,this.shadow_selector.addEventListener(\"change\",()=>{this.model.shadow=!!Number(this.shadow_selector.value)}),(this.model.shadow=!!Number(this.shadow_selector.value))&&this.model.properties.shadow.change.emit(),this.sampling_slider.addEventListener(\"input\",()=>{const e=Number(this.sampling_slider.value);Math.abs(this.model.sampling-e)>=.005&&(this.model.sampling=e)}),Math.abs(this.model.sampling-Number(this.shadow_selector.value))>=.005&&this.model.properties.sampling.change.emit(),this.edge_gradient_slider.addEventListener(\"input\",()=>{const e=Number(this.edge_gradient_slider.value);Math.abs(this.model.edge_gradient-e)>=.005&&(this.model.edge_gradient=e)}),Math.abs(this.model.edge_gradient-Number(this.edge_gradient_slider.value))>=.005&&this.model.properties.edge_gradient.change.emit()}_plot_volume(){const e=this._vtk_image_data,t=n.vtkns.Volume.newInstance(),i=n.vtkns.VolumeMapper.newInstance();t.setMapper(i),i.setInputData(e);const s=(e.getPointData().getScalars()||e.getPointData().getArrays()[0]).getRange(),r=n.vtkns.ColorTransferFunction.newInstance();r.onModified(()=>this.model.mapper=n.vtkLutToMapper(r));const o=n.vtkns.PiecewiseFunction.newInstance(),a=.7*Math.sqrt(e.getSpacing().map(e=>e*e).reduce((e,t)=>e+t,0));i.setSampleDistance(a),t.getProperty().setRGBTransferFunction(0,r),t.getProperty().setScalarOpacity(0,o),t.getProperty().setInterpolationTypeToFastLinear(),t.getProperty().setScalarOpacityUnitDistance(0,n.vtkns.BoundingBox.getDiagonalLength(e.getBounds())/Math.max(...e.getDimensions())),t.getProperty().setGradientOpacityMinimumValue(0,0),t.getProperty().setGradientOpacityMaximumValue(0,.05*(s[1]-s[0])),t.getProperty().setShade(this.model.shadow),t.getProperty().setUseGradientOpacity(0,!0),t.getProperty().setGradientOpacityMinimumOpacity(0,0),t.getProperty().setGradientOpacityMaximumOpacity(0,1),t.getProperty().setAmbient(this.model.ambient),t.getProperty().setDiffuse(this.model.diffuse),t.getProperty().setSpecular(this.model.specular),t.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderer().addVolume(t),this._controllerWidget.setupContent(this._vtk_renwin.getRenderWindow(),t,!0)}_plot_slices(){const e=this._vtk_image_data,t=n.vtkns.ImageSlice.newInstance(),i=n.vtkns.ImageSlice.newInstance(),s=n.vtkns.ImageSlice.newInstance(),r=n.vtkns.ImageMapper.newInstance(),o=n.vtkns.ImageMapper.newInstance(),a=n.vtkns.ImageMapper.newInstance();r.setInputData(e),r.setISlice(this.model.slice_i),t.setMapper(r),o.setInputData(e),o.setJSlice(this.model.slice_j),i.setMapper(o),a.setInputData(e),a.setKSlice(this.model.slice_k),s.setMapper(a);const l=n.vtkns.PiecewiseFunction.newInstance();l.removeAllPoints(),l.addPoint(0,1);const c=this.volume.getProperty().getRGBTransferFunction(0),d=t.getProperty();i.setProperty(d),s.setProperty(d),d.setRGBTransferFunction(c),d.setScalarOpacity(l);const h=this._vtk_renwin.getRenderer();h.addActor(t),h.addActor(i),h.addActor(s)}_set_volume_visibility(e){this.volume.setVisibility(e)}_set_slices_visibility(e){this._vtk_renwin.getRenderer().getActors().map(t=>t.setVisibility(e))}}i.VTKVolumePlotView=o,o.__name__=\"VTKVolumePlotView\";class a extends r.AbstractVTKPlot{constructor(e){super(e)}static init_VTKVolumePlot(){this.prototype.default_view=o,this.define({data:[s.Instance],shadow:[s.Boolean,!0],sampling:[s.Number,.4],edge_gradient:[s.Number,.2],colormap:[s.String],rescale:[s.Boolean,!1],ambient:[s.Number,.2],diffuse:[s.Number,.7],specular:[s.Number,.3],specular_power:[s.Number,8],slice_i:[s.Int,0],slice_j:[s.Int,0],slice_k:[s.Int,0],display_volume:[s.Boolean,!0],display_slices:[s.Boolean,!1],render_background:[s.String,\"#52576e\"],interpolation:[s.Any,\"fast_linear\"],mapper:[s.Instance]})}}i.VTKVolumePlot=a,a.__name__=\"VTKVolumePlot\",a.init_VTKVolumePlot()},\n",
+       "      \"e23461e5d7\": function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(\"tslib\"),n=t(\"2f3fd5db07\"),a=t(\"@bokehjs/model\"),c=e.__importStar(t(\"@bokehjs/core/properties\")),r=t(\"aaf560d219\");class h extends a.Model{constructor(t){super(t)}static init_VTKAxes(){this.define({origin:[c.Array],xticker:[c.Instance],yticker:[c.Instance],zticker:[c.Instance],digits:[c.Number,1],show_grid:[c.Boolean,!0],grid_opacity:[c.Number,.1],axes_opacity:[c.Number,1],fontsize:[c.Number,12]})}get xticks(){return this.xticker.ticks}get yticks(){return this.yticker.ticks}get zticks(){return this.zticker.ticks}get xlabels(){return this.xticker.labels?this.xticker.labels:this.xticks.map(t=>t.toFixed(this.digits))}get ylabels(){return this.yticker.labels?this.yticker.labels:this.yticks.map(t=>t.toFixed(this.digits))}get zlabels(){return this.zticker.labels?this.zticker.labels:this.zticks.map(t=>t.toFixed(this.digits))}_make_grid_lines(t,s,i){const e=[];for(let n=0;n<t-1;n++)for(let t=0;t<s-1;t++){const a=n*s+t+i,c=[5,a,n*s+t+1+i,(n+1)*s+t+1+i,(n+1)*s+t+i,a];e.push(c)}return e}_create_grid_axes(){const t=[];t.push(r.cartesian_product(this.xticks,this.yticks,[this.origin[2]])),t.push(r.cartesian_product([this.origin[0]],this.yticks,this.zticks)),t.push(r.cartesian_product(this.xticks,[this.origin[1]],this.zticks));const s=[];let i=0;s.push(this._make_grid_lines(this.xticks.length,this.yticks.length,i)),i+=this.xticks.length*this.yticks.length,s.push(this._make_grid_lines(this.yticks.length,this.zticks.length,i)),i+=this.yticks.length*this.zticks.length,s.push(this._make_grid_lines(this.xticks.length,this.zticks.length,i));const e=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:t.flat(2)},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:s.flat(2)}}),n=r.vtkns.Mapper.newInstance(),a=r.vtkns.Actor.newInstance();return n.setInputData(e),a.setMapper(n),a.getProperty().setOpacity(this.grid_opacity),a.setVisibility(this.show_grid),a}create_axes(t){const s=[this.xticks,this.yticks,this.zticks].map((t,s)=>{let i=null;switch(s){case 0:i=r.cartesian_product(t,[this.origin[1]],[this.origin[2]]);break;case 1:i=r.cartesian_product([this.origin[0]],t,[this.origin[2]]);break;case 2:i=r.cartesian_product([this.origin[0]],[this.origin[1]],t)}return i}).flat(2),i=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:s},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:[2,0,this.xticks.length-1,2,this.xticks.length,this.xticks.length+this.yticks.length-1,2,this.xticks.length+this.yticks.length,this.xticks.length+this.yticks.length+this.zticks.length-1]}}),e=r.vtkns.PixelSpaceCallbackMapper.newInstance();e.setInputData(i),e.setUseZValues(!0),e.setCallback((s,i,a)=>{const c=t.getContext(\"2d\");if(c){const r={height:t.clientHeight*window.devicePixelRatio,width:t.clientWidth*window.devicePixelRatio},h=e.getInputData().getPoints(),l=i.getViewMatrix();n.mat4.transpose(l,l);const o=i.getProjectionMatrix(a,-1,1);n.mat4.transpose(o,o),c.clearRect(0,0,r.width,r.height),s.forEach((t,s)=>{const i=h.getPoint(s),e=n.vec3.fromValues(i[0],i[1],i[2]);if(n.vec3.transformMat4(e,e,l),e[2]+=.05,n.vec3.transformMat4(e,e,o),e[2]-.001<t[3]){let i;c.font=\"30px serif\",c.textAlign=\"center\",c.textBaseline=\"alphabetic\",c.fillText(\".\",t[0],r.height-t[1]+2),c.font=this.fontsize*window.devicePixelRatio+\"px serif\",c.textAlign=\"right\",c.textBaseline=\"top\",i=s<this.xticks.length?this.xlabels[s]:s>=this.xticks.length&&s<this.xticks.length+this.yticks.length?this.ylabels[s-this.xticks.length]:this.zlabels[s-(this.xticks.length+this.yticks.length)],c.fillText(\"\"+i,t[0],r.height-t[1])}})}});const a=r.vtkns.Actor.newInstance();a.setMapper(e);const c=r.vtkns.Mapper.newInstance();c.setInputData(i);const h=r.vtkns.Actor.newInstance();return h.setMapper(c),h.getProperty().setOpacity(this.axes_opacity),{psActor:a,axesActor:h,gridActor:this._create_grid_axes()}}}i.VTKAxes=h,h.__name__=\"VTKAxes\",h.__module__=\"panel.models.vtk\",h.init_VTKAxes()},\n",
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+       "      \"68ca94c15c\": function _(t,a,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.EPSILON=1e-6,r.ARRAY_TYPE=\"undefined\"!=typeof Float32Array?Float32Array:Array,r.RANDOM=Math.random,r.setMatrixArrayType=function(t){r.ARRAY_TYPE=t};var n=Math.PI/180;r.toRadian=function(t){return t*n},r.equals=function(t,a){return Math.abs(t-a)<=r.EPSILON*Math.max(1,Math.abs(t),Math.abs(a))},Math.hypot||(Math.hypot=function(){for(var t=0,a=arguments.length;a--;)t+=arguments[a]*arguments[a];return Math.sqrt(t)})},\n",
+       "      \"7c0b8e6048\": function _(t,n,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function u(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1],f=r[2],s=r[3];return t[0]=a*c+e*i,t[1]=u*c+o*i,t[2]=a*f+e*s,t[3]=u*f+o*s,t}function e(t,n,r){return t[0]=n[0]-r[0],t[1]=n[1]-r[1],t[2]=n[2]-r[2],t[3]=n[3]-r[3],t}r.create=function(){var t=new a.ARRAY_TYPE(4);return a.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},r.clone=function(t){var n=new a.ARRAY_TYPE(4);return n[0]=t[0],n[1]=t[1],n[2]=t[2],n[3]=t[3],n},r.copy=function(t,n){return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t},r.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t},r.fromValues=function(t,n,r,u){var e=new a.ARRAY_TYPE(4);return e[0]=t,e[1]=n,e[2]=r,e[3]=u,e},r.set=function(t,n,r,a,u){return t[0]=n,t[1]=r,t[2]=a,t[3]=u,t},r.transpose=function(t,n){if(t===n){var r=n[1];t[1]=n[2],t[2]=r}else t[0]=n[0],t[1]=n[2],t[2]=n[1],t[3]=n[3];return t},r.invert=function(t,n){var r=n[0],a=n[1],u=n[2],e=n[3],o=r*e-u*a;return o?(o=1/o,t[0]=e*o,t[1]=-a*o,t[2]=-u*o,t[3]=r*o,t):null},r.adjoint=function(t,n){var r=n[0];return t[0]=n[3],t[1]=-n[1],t[2]=-n[2],t[3]=r,t},r.determinant=function(t){return t[0]*t[3]-t[2]*t[1]},r.multiply=u,r.rotate=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=Math.sin(r),i=Math.cos(r);return t[0]=a*i+e*c,t[1]=u*i+o*c,t[2]=a*-c+e*i,t[3]=u*-c+o*i,t},r.scale=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1];return t[0]=a*c,t[1]=u*c,t[2]=e*i,t[3]=o*i,t},r.fromRotation=function(t,n){var r=Math.sin(n),a=Math.cos(n);return t[0]=a,t[1]=r,t[2]=-r,t[3]=a,t},r.fromScaling=function(t,n){return t[0]=n[0],t[1]=0,t[2]=0,t[3]=n[1],t},r.str=function(t){return\"mat2(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\")\"},r.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3])},r.LDU=function(t,n,r,a){return t[2]=a[2]/a[0],r[0]=a[0],r[1]=a[1],r[3]=a[3]-t[2]*r[1],[t,n,r]},r.add=function(t,n,r){return t[0]=n[0]+r[0],t[1]=n[1]+r[1],t[2]=n[2]+r[2],t[3]=n[3]+r[3],t},r.subtract=e,r.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]&&t[3]===n[3]},r.equals=function(t,n){var r=t[0],u=t[1],e=t[2],o=t[3],c=n[0],i=n[1],f=n[2],s=n[3];return Math.abs(r-c)<=a.EPSILON*Math.max(1,Math.abs(r),Math.abs(c))&&Math.abs(u-i)<=a.EPSILON*Math.max(1,Math.abs(u),Math.abs(i))&&Math.abs(e-f)<=a.EPSILON*Math.max(1,Math.abs(e),Math.abs(f))&&Math.abs(o-s)<=a.EPSILON*Math.max(1,Math.abs(o),Math.abs(s))},r.multiplyScalar=function(t,n,r){return t[0]=n[0]*r,t[1]=n[1]*r,t[2]=n[2]*r,t[3]=n[3]*r,t},r.multiplyScalarAndAdd=function(t,n,r,a){return t[0]=n[0]+r[0]*a,t[1]=n[1]+r[1]*a,t[2]=n[2]+r[2]*a,t[3]=n[3]+r[3]*a,t},r.mul=u,r.sub=e},\n",
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+       "      \"0285c50a7e\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function u(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1],l=n[2],m=n[3],v=n[4],E=n[5],P=n[6],S=n[7],d=n[8];return t[0]=f*r+b*e+l*s,t[1]=f*u+b*i+l*M,t[2]=f*o+b*c+l*h,t[3]=m*r+v*e+E*s,t[4]=m*u+v*i+E*M,t[5]=m*o+v*c+E*h,t[6]=P*r+S*e+d*s,t[7]=P*u+S*i+d*M,t[8]=P*o+S*c+d*h,t}function o(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t}n.create=function(){var t=new r.ARRAY_TYPE(9);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},n.fromMat4=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[4],t[4]=a[5],t[5]=a[6],t[6]=a[8],t[7]=a[9],t[8]=a[10],t},n.clone=function(t){var a=new r.ARRAY_TYPE(9);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromValues=function(t,a,n,u,o,e,i,c,s){var M=new r.ARRAY_TYPE(9);return M[0]=t,M[1]=a,M[2]=n,M[3]=u,M[4]=o,M[5]=e,M[6]=i,M[7]=c,M[8]=s,M},n.set=function(t,a,n,r,u,o,e,i,c,s){return t[0]=a,t[1]=n,t[2]=r,t[3]=u,t[4]=o,t[5]=e,t[6]=i,t[7]=c,t[8]=s,t},n.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],u=a[5];t[1]=a[3],t[2]=a[6],t[3]=n,t[5]=a[7],t[6]=r,t[7]=u}else t[0]=a[0],t[1]=a[3],t[2]=a[6],t[3]=a[1],t[4]=a[4],t[5]=a[7],t[6]=a[2],t[7]=a[5],t[8]=a[8];return t},n.invert=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=M*e-i*s,f=-M*o+i*c,b=s*o-e*c,l=n*h+r*f+u*b;return l?(l=1/l,t[0]=h*l,t[1]=(-M*r+u*s)*l,t[2]=(i*r-u*e)*l,t[3]=f*l,t[4]=(M*n-u*c)*l,t[5]=(-i*n+u*o)*l,t[6]=b*l,t[7]=(-s*n+r*c)*l,t[8]=(e*n-r*o)*l,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8];return t[0]=e*M-i*s,t[1]=u*s-r*M,t[2]=r*i-u*e,t[3]=i*c-o*M,t[4]=n*M-u*c,t[5]=u*o-n*i,t[6]=o*s-e*c,t[7]=r*c-n*s,t[8]=n*e-r*o,t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],u=t[3],o=t[4],e=t[5],i=t[6],c=t[7],s=t[8];return a*(s*o-e*c)+n*(-s*u+e*i)+r*(c*u-o*i)},n.multiply=u,n.translate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1];return t[0]=r,t[1]=u,t[2]=o,t[3]=e,t[4]=i,t[5]=c,t[6]=f*r+b*e+s,t[7]=f*u+b*i+M,t[8]=f*o+b*c+h,t},n.rotate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=Math.sin(n),b=Math.cos(n);return t[0]=b*r+f*e,t[1]=b*u+f*i,t[2]=b*o+f*c,t[3]=b*e-f*r,t[4]=b*i-f*u,t[5]=b*c-f*o,t[6]=s,t[7]=M,t[8]=h,t},n.scale=function(t,a,n){var r=n[0],u=n[1];return t[0]=r*a[0],t[1]=r*a[1],t[2]=r*a[2],t[3]=u*a[3],t[4]=u*a[4],t[5]=u*a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=a[0],t[7]=a[1],t[8]=1,t},n.fromRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=-n,t[4]=r,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=a[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromMat2d=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=0,t[3]=a[2],t[4]=a[3],t[5]=0,t[6]=a[4],t[7]=a[5],t[8]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=n+n,i=r+r,c=u+u,s=n*e,M=r*e,h=r*i,f=u*e,b=u*i,l=u*c,m=o*e,v=o*i,E=o*c;return t[0]=1-h-l,t[3]=M-E,t[6]=f+v,t[1]=M+E,t[4]=1-s-l,t[7]=b-m,t[2]=f-v,t[5]=b+m,t[8]=1-s-h,t},n.normalFromMat4=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],E=a[15],P=n*i-r*e,S=n*c-u*e,d=n*s-o*e,A=r*c-u*i,x=r*s-o*i,O=u*s-o*c,p=M*m-h*l,I=M*v-f*l,L=M*E-b*l,N=h*v-f*m,R=h*E-b*m,_=f*E-b*v,y=P*_-S*R+d*N+A*L-x*I+O*p;return y?(y=1/y,t[0]=(i*_-c*R+s*N)*y,t[1]=(c*L-e*_-s*I)*y,t[2]=(e*R-i*L+s*p)*y,t[3]=(u*R-r*_-o*N)*y,t[4]=(n*_-u*L+o*I)*y,t[5]=(r*L-n*R-o*p)*y,t[6]=(m*O-v*x+E*A)*y,t[7]=(v*d-l*O-E*S)*y,t[8]=(l*x-m*d+E*P)*y,t):null},n.projection=function(t,a,n){return t[0]=2/a,t[1]=0,t[2]=0,t[3]=0,t[4]=-2/n,t[5]=0,t[6]=-1,t[7]=1,t[8]=1,t},n.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t},n.subtract=o,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]},n.equals=function(t,a){var n=t[0],u=t[1],o=t[2],e=t[3],i=t[4],c=t[5],s=t[6],M=t[7],h=t[8],f=a[0],b=a[1],l=a[2],m=a[3],v=a[4],E=a[5],P=a[6],S=a[7],d=a[8];return Math.abs(n-f)<=r.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(u-b)<=r.EPSILON*Math.max(1,Math.abs(u),Math.abs(b))&&Math.abs(o-l)<=r.EPSILON*Math.max(1,Math.abs(o),Math.abs(l))&&Math.abs(e-m)<=r.EPSILON*Math.max(1,Math.abs(e),Math.abs(m))&&Math.abs(i-v)<=r.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(c-E)<=r.EPSILON*Math.max(1,Math.abs(c),Math.abs(E))&&Math.abs(s-P)<=r.EPSILON*Math.max(1,Math.abs(s),Math.abs(P))&&Math.abs(M-S)<=r.EPSILON*Math.max(1,Math.abs(M),Math.abs(S))&&Math.abs(h-d)<=r.EPSILON*Math.max(1,Math.abs(h),Math.abs(d))},n.mul=u,n.sub=o},\n",
+       "      \"a427635f32\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function h(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function o(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],v=a[12],m=a[13],P=a[14],E=a[15],S=n[0],I=n[1],O=n[2],p=n[3];return t[0]=S*r+I*M+O*c+p*v,t[1]=S*h+I*e+O*f+p*m,t[2]=S*o+I*s+O*b+p*P,t[3]=S*u+I*i+O*l+p*E,S=n[4],I=n[5],O=n[6],p=n[7],t[4]=S*r+I*M+O*c+p*v,t[5]=S*h+I*e+O*f+p*m,t[6]=S*o+I*s+O*b+p*P,t[7]=S*u+I*i+O*l+p*E,S=n[8],I=n[9],O=n[10],p=n[11],t[8]=S*r+I*M+O*c+p*v,t[9]=S*h+I*e+O*f+p*m,t[10]=S*o+I*s+O*b+p*P,t[11]=S*u+I*i+O*l+p*E,S=n[12],I=n[13],O=n[14],p=n[15],t[12]=S*r+I*M+O*c+p*v,t[13]=S*h+I*e+O*f+p*m,t[14]=S*o+I*s+O*b+p*P,t[15]=S*u+I*i+O*l+p*E,t}function u(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=r+r,e=h+h,s=o+o,i=r*M,c=r*e,f=r*s,b=h*e,l=h*s,v=o*s,m=u*M,P=u*e,E=u*s;return t[0]=1-(b+v),t[1]=c+E,t[2]=f-P,t[3]=0,t[4]=c-E,t[5]=1-(i+v),t[6]=l+m,t[7]=0,t[8]=f+P,t[9]=l-m,t[10]=1-(i+b),t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t}function M(t,a){var n=a[0],r=a[1],h=a[2],o=a[4],u=a[5],M=a[6],e=a[8],s=a[9],i=a[10];return t[0]=Math.hypot(n,r,h),t[1]=Math.hypot(o,u,M),t[2]=Math.hypot(e,s,i),t}function e(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t[9]=a[9]-n[9],t[10]=a[10]-n[10],t[11]=a[11]-n[11],t[12]=a[12]-n[12],t[13]=a[13]-n[13],t[14]=a[14]-n[14],t[15]=a[15]-n[15],t}n.create=function(){var t=new r.ARRAY_TYPE(16);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},n.clone=function(t){var a=new r.ARRAY_TYPE(16);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a[9]=t[9],a[10]=t[10],a[11]=t[11],a[12]=t[12],a[13]=t[13],a[14]=t[14],a[15]=t[15],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.fromValues=function(t,a,n,h,o,u,M,e,s,i,c,f,b,l,v,m){var P=new r.ARRAY_TYPE(16);return P[0]=t,P[1]=a,P[2]=n,P[3]=h,P[4]=o,P[5]=u,P[6]=M,P[7]=e,P[8]=s,P[9]=i,P[10]=c,P[11]=f,P[12]=b,P[13]=l,P[14]=v,P[15]=m,P},n.set=function(t,a,n,r,h,o,u,M,e,s,i,c,f,b,l,v,m){return t[0]=a,t[1]=n,t[2]=r,t[3]=h,t[4]=o,t[5]=u,t[6]=M,t[7]=e,t[8]=s,t[9]=i,t[10]=c,t[11]=f,t[12]=b,t[13]=l,t[14]=v,t[15]=m,t},n.identity=h,n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],h=a[3],o=a[6],u=a[7],M=a[11];t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=n,t[6]=a[9],t[7]=a[13],t[8]=r,t[9]=o,t[11]=a[14],t[12]=h,t[13]=u,t[14]=M}else t[0]=a[0],t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=a[1],t[5]=a[5],t[6]=a[9],t[7]=a[13],t[8]=a[2],t[9]=a[6],t[10]=a[10],t[11]=a[14],t[12]=a[3],t[13]=a[7],t[14]=a[11],t[15]=a[15];return t},n.invert=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15],E=n*M-r*u,S=n*e-h*u,I=n*s-o*u,O=r*e-h*M,p=r*s-o*M,L=h*s-o*e,N=i*v-c*l,R=i*m-f*l,x=i*P-b*l,y=c*m-f*v,A=c*P-b*v,Y=f*P-b*m,d=E*Y-S*A+I*y+O*x-p*R+L*N;return d?(d=1/d,t[0]=(M*Y-e*A+s*y)*d,t[1]=(h*A-r*Y-o*y)*d,t[2]=(v*L-m*p+P*O)*d,t[3]=(f*p-c*L-b*O)*d,t[4]=(e*x-u*Y-s*R)*d,t[5]=(n*Y-h*x+o*R)*d,t[6]=(m*I-l*L-P*S)*d,t[7]=(i*L-f*I+b*S)*d,t[8]=(u*A-M*x+s*N)*d,t[9]=(r*x-n*A-o*N)*d,t[10]=(l*p-v*I+P*E)*d,t[11]=(c*I-i*p-b*E)*d,t[12]=(M*R-u*y-e*N)*d,t[13]=(n*y-r*R+h*N)*d,t[14]=(v*S-l*O-m*E)*d,t[15]=(i*O-c*S+f*E)*d,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15];return t[0]=M*(f*P-b*m)-c*(e*P-s*m)+v*(e*b-s*f),t[1]=-(r*(f*P-b*m)-c*(h*P-o*m)+v*(h*b-o*f)),t[2]=r*(e*P-s*m)-M*(h*P-o*m)+v*(h*s-o*e),t[3]=-(r*(e*b-s*f)-M*(h*b-o*f)+c*(h*s-o*e)),t[4]=-(u*(f*P-b*m)-i*(e*P-s*m)+l*(e*b-s*f)),t[5]=n*(f*P-b*m)-i*(h*P-o*m)+l*(h*b-o*f),t[6]=-(n*(e*P-s*m)-u*(h*P-o*m)+l*(h*s-o*e)),t[7]=n*(e*b-s*f)-u*(h*b-o*f)+i*(h*s-o*e),t[8]=u*(c*P-b*v)-i*(M*P-s*v)+l*(M*b-s*c),t[9]=-(n*(c*P-b*v)-i*(r*P-o*v)+l*(r*b-o*c)),t[10]=n*(M*P-s*v)-u*(r*P-o*v)+l*(r*s-o*M),t[11]=-(n*(M*b-s*c)-u*(r*b-o*c)+i*(r*s-o*M)),t[12]=-(u*(c*m-f*v)-i*(M*m-e*v)+l*(M*f-e*c)),t[13]=n*(c*m-f*v)-i*(r*m-h*v)+l*(r*f-h*c),t[14]=-(n*(M*m-e*v)-u*(r*m-h*v)+l*(r*e-h*M)),t[15]=n*(M*f-e*c)-u*(r*f-h*c)+i*(r*e-h*M),t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],h=t[3],o=t[4],u=t[5],M=t[6],e=t[7],s=t[8],i=t[9],c=t[10],f=t[11],b=t[12],l=t[13],v=t[14],m=t[15];return(a*u-n*o)*(c*m-f*v)-(a*M-r*o)*(i*m-f*l)+(a*e-h*o)*(i*v-c*l)+(n*M-r*u)*(s*m-f*b)-(n*e-h*u)*(s*v-c*b)+(r*e-h*M)*(s*l-i*b)},n.multiply=o,n.translate=function(t,a,n){var r,h,o,u,M,e,s,i,c,f,b,l,v=n[0],m=n[1],P=n[2];return a===t?(t[12]=a[0]*v+a[4]*m+a[8]*P+a[12],t[13]=a[1]*v+a[5]*m+a[9]*P+a[13],t[14]=a[2]*v+a[6]*m+a[10]*P+a[14],t[15]=a[3]*v+a[7]*m+a[11]*P+a[15]):(r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],t[0]=r,t[1]=h,t[2]=o,t[3]=u,t[4]=M,t[5]=e,t[6]=s,t[7]=i,t[8]=c,t[9]=f,t[10]=b,t[11]=l,t[12]=r*v+M*m+c*P+a[12],t[13]=h*v+e*m+f*P+a[13],t[14]=o*v+s*m+b*P+a[14],t[15]=u*v+i*m+l*P+a[15]),t},n.scale=function(t,a,n){var r=n[0],h=n[1],o=n[2];return t[0]=a[0]*r,t[1]=a[1]*r,t[2]=a[2]*r,t[3]=a[3]*r,t[4]=a[4]*h,t[5]=a[5]*h,t[6]=a[6]*h,t[7]=a[7]*h,t[8]=a[8]*o,t[9]=a[9]*o,t[10]=a[10]*o,t[11]=a[11]*o,t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.rotate=function(t,a,n,h){var o,u,M,e,s,i,c,f,b,l,v,m,P,E,S,I,O,p,L,N,R,x,y,A,Y=h[0],d=h[1],g=h[2],T=Math.hypot(Y,d,g);return T<r.EPSILON?null:(Y*=T=1/T,d*=T,g*=T,o=Math.sin(n),M=1-(u=Math.cos(n)),e=a[0],s=a[1],i=a[2],c=a[3],f=a[4],b=a[5],l=a[6],v=a[7],m=a[8],P=a[9],E=a[10],S=a[11],I=Y*Y*M+u,O=d*Y*M+g*o,p=g*Y*M-d*o,L=Y*d*M-g*o,N=d*d*M+u,R=g*d*M+Y*o,x=Y*g*M+d*o,y=d*g*M-Y*o,A=g*g*M+u,t[0]=e*I+f*O+m*p,t[1]=s*I+b*O+P*p,t[2]=i*I+l*O+E*p,t[3]=c*I+v*O+S*p,t[4]=e*L+f*N+m*R,t[5]=s*L+b*N+P*R,t[6]=i*L+l*N+E*R,t[7]=c*L+v*N+S*R,t[8]=e*x+f*y+m*A,t[9]=s*x+b*y+P*A,t[10]=i*x+l*y+E*A,t[11]=c*x+v*y+S*A,a!==t&&(t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t)},n.rotateX=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[4],u=a[5],M=a[6],e=a[7],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[4]=o*h+s*r,t[5]=u*h+i*r,t[6]=M*h+c*r,t[7]=e*h+f*r,t[8]=s*h-o*r,t[9]=i*h-u*r,t[10]=c*h-M*r,t[11]=f*h-e*r,t},n.rotateY=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h-s*r,t[1]=u*h-i*r,t[2]=M*h-c*r,t[3]=e*h-f*r,t[8]=o*r+s*h,t[9]=u*r+i*h,t[10]=M*r+c*h,t[11]=e*r+f*h,t},n.rotateZ=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7];return a!==t&&(t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h+s*r,t[1]=u*h+i*r,t[2]=M*h+c*r,t[3]=e*h+f*r,t[4]=s*h-o*r,t[5]=i*h-u*r,t[6]=c*h-M*r,t[7]=f*h-e*r,t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=a[0],t[13]=a[1],t[14]=a[2],t[15]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=a[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotation=function(t,a,n){var h,o,u,M=n[0],e=n[1],s=n[2],i=Math.hypot(M,e,s);return i<r.EPSILON?null:(M*=i=1/i,e*=i,s*=i,h=Math.sin(a),u=1-(o=Math.cos(a)),t[0]=M*M*u+o,t[1]=e*M*u+s*h,t[2]=s*M*u-e*h,t[3]=0,t[4]=M*e*u-s*h,t[5]=e*e*u+o,t[6]=s*e*u+M*h,t[7]=0,t[8]=M*s*u+e*h,t[9]=e*s*u-M*h,t[10]=s*s*u+o,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},n.fromXRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=r,t[6]=n,t[7]=0,t[8]=0,t[9]=-n,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromYRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=0,t[2]=-n,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=n,t[9]=0,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromZRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=0,t[4]=-n,t[5]=r,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotationTranslation=u,n.fromQuat2=function(t,a){var n=new r.ARRAY_TYPE(3),h=-a[0],o=-a[1],M=-a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7],b=h*h+o*o+M*M+e*e;return b>0?(n[0]=2*(s*e+f*h+i*M-c*o)/b,n[1]=2*(i*e+f*o+c*h-s*M)/b,n[2]=2*(c*e+f*M+s*o-i*h)/b):(n[0]=2*(s*e+f*h+i*M-c*o),n[1]=2*(i*e+f*o+c*h-s*M),n[2]=2*(c*e+f*M+s*o-i*h)),u(t,a,n),t},n.getTranslation=function(t,a){return t[0]=a[12],t[1]=a[13],t[2]=a[14],t},n.getScaling=M,n.getRotation=function(t,a){var n=new r.ARRAY_TYPE(3);M(n,a);var h=1/n[0],o=1/n[1],u=1/n[2],e=a[0]*h,s=a[1]*o,i=a[2]*u,c=a[4]*h,f=a[5]*o,b=a[6]*u,l=a[8]*h,v=a[9]*o,m=a[10]*u,P=e+f+m,E=0;return P>0?(E=2*Math.sqrt(P+1),t[3]=.25*E,t[0]=(b-v)/E,t[1]=(l-i)/E,t[2]=(s-c)/E):e>f&&e>m?(E=2*Math.sqrt(1+e-f-m),t[3]=(b-v)/E,t[0]=.25*E,t[1]=(s+c)/E,t[2]=(l+i)/E):f>m?(E=2*Math.sqrt(1+f-e-m),t[3]=(l-i)/E,t[0]=(s+c)/E,t[1]=.25*E,t[2]=(b+v)/E):(E=2*Math.sqrt(1+m-e-f),t[3]=(s-c)/E,t[0]=(l+i)/E,t[1]=(b+v)/E,t[2]=.25*E),t},n.fromRotationTranslationScale=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=a[3],e=h+h,s=o+o,i=u+u,c=h*e,f=h*s,b=h*i,l=o*s,v=o*i,m=u*i,P=M*e,E=M*s,S=M*i,I=r[0],O=r[1],p=r[2];return t[0]=(1-(l+m))*I,t[1]=(f+S)*I,t[2]=(b-E)*I,t[3]=0,t[4]=(f-S)*O,t[5]=(1-(c+m))*O,t[6]=(v+P)*O,t[7]=0,t[8]=(b+E)*p,t[9]=(v-P)*p,t[10]=(1-(c+l))*p,t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t},n.fromRotationTranslationScaleOrigin=function(t,a,n,r,h){var o=a[0],u=a[1],M=a[2],e=a[3],s=o+o,i=u+u,c=M+M,f=o*s,b=o*i,l=o*c,v=u*i,m=u*c,P=M*c,E=e*s,S=e*i,I=e*c,O=r[0],p=r[1],L=r[2],N=h[0],R=h[1],x=h[2],y=(1-(v+P))*O,A=(b+I)*O,Y=(l-S)*O,d=(b-I)*p,g=(1-(f+P))*p,T=(m+E)*p,_=(l+S)*L,q=(m-E)*L,w=(1-(f+v))*L;return t[0]=y,t[1]=A,t[2]=Y,t[3]=0,t[4]=d,t[5]=g,t[6]=T,t[7]=0,t[8]=_,t[9]=q,t[10]=w,t[11]=0,t[12]=n[0]+N-(y*N+d*R+_*x),t[13]=n[1]+R-(A*N+g*R+q*x),t[14]=n[2]+x-(Y*N+T*R+w*x),t[15]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=n+n,M=r+r,e=h+h,s=n*u,i=r*u,c=r*M,f=h*u,b=h*M,l=h*e,v=o*u,m=o*M,P=o*e;return t[0]=1-c-l,t[1]=i+P,t[2]=f-m,t[3]=0,t[4]=i-P,t[5]=1-s-l,t[6]=b+v,t[7]=0,t[8]=f+m,t[9]=b-v,t[10]=1-s-c,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.frustum=function(t,a,n,r,h,o,u){var M=1/(n-a),e=1/(h-r),s=1/(o-u);return t[0]=2*o*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*o*e,t[6]=0,t[7]=0,t[8]=(n+a)*M,t[9]=(h+r)*e,t[10]=(u+o)*s,t[11]=-1,t[12]=0,t[13]=0,t[14]=u*o*2*s,t[15]=0,t},n.perspective=function(t,a,n,r,h){var o,u=1/Math.tan(a/2);return t[0]=u/n,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=h&&h!==1/0?(o=1/(r-h),t[10]=(h+r)*o,t[14]=2*h*r*o):(t[10]=-1,t[14]=-2*r),t},n.perspectiveFromFieldOfView=function(t,a,n,r){var h=Math.tan(a.upDegrees*Math.PI/180),o=Math.tan(a.downDegrees*Math.PI/180),u=Math.tan(a.leftDegrees*Math.PI/180),M=Math.tan(a.rightDegrees*Math.PI/180),e=2/(u+M),s=2/(h+o);return t[0]=e,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=s,t[6]=0,t[7]=0,t[8]=-(u-M)*e*.5,t[9]=(h-o)*s*.5,t[10]=r/(n-r),t[11]=-1,t[12]=0,t[13]=0,t[14]=r*n/(n-r),t[15]=0,t},n.ortho=function(t,a,n,r,h,o,u){var M=1/(a-n),e=1/(r-h),s=1/(o-u);return t[0]=-2*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*e,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*s,t[11]=0,t[12]=(a+n)*M,t[13]=(h+r)*e,t[14]=(u+o)*s,t[15]=1,t},n.lookAt=function(t,a,n,o){var u,M,e,s,i,c,f,b,l,v,m=a[0],P=a[1],E=a[2],S=o[0],I=o[1],O=o[2],p=n[0],L=n[1],N=n[2];return Math.abs(m-p)<r.EPSILON&&Math.abs(P-L)<r.EPSILON&&Math.abs(E-N)<r.EPSILON?h(t):(f=m-p,b=P-L,l=E-N,u=I*(l*=v=1/Math.hypot(f,b,l))-O*(b*=v),M=O*(f*=v)-S*l,e=S*b-I*f,(v=Math.hypot(u,M,e))?(u*=v=1/v,M*=v,e*=v):(u=0,M=0,e=0),s=b*e-l*M,i=l*u-f*e,c=f*M-b*u,(v=Math.hypot(s,i,c))?(s*=v=1/v,i*=v,c*=v):(s=0,i=0,c=0),t[0]=u,t[1]=s,t[2]=f,t[3]=0,t[4]=M,t[5]=i,t[6]=b,t[7]=0,t[8]=e,t[9]=c,t[10]=l,t[11]=0,t[12]=-(u*m+M*P+e*E),t[13]=-(s*m+i*P+c*E),t[14]=-(f*m+b*P+l*E),t[15]=1,t)},n.targetTo=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=r[0],e=r[1],s=r[2],i=h-n[0],c=o-n[1],f=u-n[2],b=i*i+c*c+f*f;b>0&&(i*=b=1/Math.sqrt(b),c*=b,f*=b);var l=e*f-s*c,v=s*i-M*f,m=M*c-e*i;return(b=l*l+v*v+m*m)>0&&(l*=b=1/Math.sqrt(b),v*=b,m*=b),t[0]=l,t[1]=v,t[2]=m,t[3]=0,t[4]=c*m-f*v,t[5]=f*l-i*m,t[6]=i*v-c*l,t[7]=0,t[8]=i,t[9]=c,t[10]=f,t[11]=0,t[12]=h,t[13]=o,t[14]=u,t[15]=1,t},n.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8],t[9],t[10],t[11],t[12],t[13],t[14],t[15])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t[9]=a[9]+n[9],t[10]=a[10]+n[10],t[11]=a[11]+n[11],t[12]=a[12]+n[12],t[13]=a[13]+n[13],t[14]=a[14]+n[14],t[15]=a[15]+n[15],t},n.subtract=e,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t[9]=a[9]*n,t[10]=a[10]*n,t[11]=a[11]*n,t[12]=a[12]*n,t[13]=a[13]*n,t[14]=a[14]*n,t[15]=a[15]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t[9]=a[9]+n[9]*r,t[10]=a[10]+n[10]*r,t[11]=a[11]+n[11]*r,t[12]=a[12]+n[12]*r,t[13]=a[13]+n[13]*r,t[14]=a[14]+n[14]*r,t[15]=a[15]+n[15]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]&&t[9]===a[9]&&t[10]===a[10]&&t[11]===a[11]&&t[12]===a[12]&&t[13]===a[13]&&t[14]===a[14]&&t[15]===a[15]},n.equals=function(t,a){var n=t[0],h=t[1],o=t[2],u=t[3],M=t[4],e=t[5],s=t[6],i=t[7],c=t[8],f=t[9],b=t[10],l=t[11],v=t[12],m=t[13],P=t[14],E=t[15],S=a[0],I=a[1],O=a[2],p=a[3],L=a[4],N=a[5],R=a[6],x=a[7],y=a[8],A=a[9],Y=a[10],d=a[11],g=a[12],T=a[13],_=a[14],q=a[15];return 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+       "      \"eb06fc032a\": function _(t,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});const n=t(\"tslib\"),e=n.__importStar(t(\"68ca94c15c\")),o=n.__importStar(t(\"0285c50a7e\")),s=n.__importStar(t(\"2c5eb22089\")),u=n.__importStar(t(\"c1aa33d719\"));function c(){var t=new e.ARRAY_TYPE(4);return e.ARRAY_TYPE!=Float32Array&&(t[0]=0,t[1]=0,t[2]=0),t[3]=1,t}function i(t,r,a){a*=.5;var n=Math.sin(a);return t[0]=n*r[0],t[1]=n*r[1],t[2]=n*r[2],t[3]=Math.cos(a),t}function h(t,r,a){var n=r[0],e=r[1],o=r[2],s=r[3],u=a[0],c=a[1],i=a[2],h=a[3];return t[0]=n*h+s*u+e*i-o*c,t[1]=e*h+s*c+o*u-n*i,t[2]=o*h+s*i+n*c-e*u,t[3]=s*h-n*u-e*c-o*i,t}function M(t,r){var a=r[0],n=r[1],e=r[2],o=r[3],s=Math.sqrt(a*a+n*n+e*e),u=Math.exp(o),c=s>0?u*Math.sin(s)/s:0;return t[0]=a*c,t[1]=n*c,t[2]=e*c,t[3]=u*Math.cos(s),t}function l(t,r){var a=r[0],n=r[1],e=r[2],o=r[3],s=Math.sqrt(a*a+n*n+e*e),u=s>0?Math.atan2(s,o)/s:0;return t[0]=a*u,t[1]=n*u,t[2]=e*u,t[3]=.5*Math.log(a*a+n*n+e*e+o*o),t}function f(t,r,a,n){var o,s,u,c,i,h=r[0],M=r[1],l=r[2],f=r[3],v=a[0],m=a[1],q=a[2],d=a[3];return(s=h*v+M*m+l*q+f*d)<0&&(s=-s,v=-v,m=-m,q=-q,d=-d),1-s>e.EPSILON?(o=Math.acos(s),u=Math.sin(o),c=Math.sin((1-n)*o)/u,i=Math.sin(n*o)/u):(c=1-n,i=n),t[0]=c*h+i*v,t[1]=c*M+i*m,t[2]=c*l+i*q,t[3]=c*f+i*d,t}function v(t,r){var a,n=r[0]+r[4]+r[8];if(n>0)a=Math.sqrt(n+1),t[3]=.5*a,a=.5/a,t[0]=(r[5]-r[7])*a,t[1]=(r[6]-r[2])*a,t[2]=(r[1]-r[3])*a;else{var e=0;r[4]>r[0]&&(e=1),r[8]>r[3*e+e]&&(e=2);var o=(e+1)%3,s=(e+2)%3;a=Math.sqrt(r[3*e+e]-r[3*o+o]-r[3*s+s]+1),t[e]=.5*a,a=.5/a,t[3]=(r[3*o+s]-r[3*s+o])*a,t[o]=(r[3*o+e]+r[3*e+o])*a,t[s]=(r[3*s+e]+r[3*e+s])*a}return t}var m,q,d,p,A,g;a.create=c,a.identity=function(t){return t[0]=0,t[1]=0,t[2]=0,t[3]=1,t},a.setAxisAngle=i,a.getAxisAngle=function(t,r){var a=2*Math.acos(r[3]),n=Math.sin(a/2);return n>e.EPSILON?(t[0]=r[0]/n,t[1]=r[1]/n,t[2]=r[2]/n):(t[0]=1,t[1]=0,t[2]=0),a},a.getAngle=function(t,r){var n=a.dot(t,r);return Math.acos(2*n*n-1)},a.multiply=h,a.rotateX=function(t,r,a){a*=.5;var n=r[0],e=r[1],o=r[2],s=r[3],u=Math.sin(a),c=Math.cos(a);return t[0]=n*c+s*u,t[1]=e*c+o*u,t[2]=o*c-e*u,t[3]=s*c-n*u,t},a.rotateY=function(t,r,a){a*=.5;var n=r[0],e=r[1],o=r[2],s=r[3],u=Math.sin(a),c=Math.cos(a);return t[0]=n*c-o*u,t[1]=e*c+s*u,t[2]=o*c+n*u,t[3]=s*c-e*u,t},a.rotateZ=function(t,r,a){a*=.5;var n=r[0],e=r[1],o=r[2],s=r[3],u=Math.sin(a),c=Math.cos(a);return t[0]=n*c+e*u,t[1]=e*c-n*u,t[2]=o*c+s*u,t[3]=s*c-o*u,t},a.calculateW=function(t,r){var a=r[0],n=r[1],e=r[2];return t[0]=a,t[1]=n,t[2]=e,t[3]=Math.sqrt(Math.abs(1-a*a-n*n-e*e)),t},a.exp=M,a.ln=l,a.pow=function(t,r,n){return l(t,r),a.scale(t,t,n),M(t,t),t},a.slerp=f,a.random=function(t){var r=e.RANDOM(),a=e.RANDOM(),n=e.RANDOM(),o=Math.sqrt(1-r),s=Math.sqrt(r);return t[0]=o*Math.sin(2*Math.PI*a),t[1]=o*Math.cos(2*Math.PI*a),t[2]=s*Math.sin(2*Math.PI*n),t[3]=s*Math.cos(2*Math.PI*n),t},a.invert=function(t,r){var a=r[0],n=r[1],e=r[2],o=r[3],s=a*a+n*n+e*e+o*o,u=s?1/s:0;return t[0]=-a*u,t[1]=-n*u,t[2]=-e*u,t[3]=o*u,t},a.conjugate=function(t,r){return t[0]=-r[0],t[1]=-r[1],t[2]=-r[2],t[3]=r[3],t},a.fromMat3=v,a.fromEuler=function(t,r,a,n){var e=.5*Math.PI/180;r*=e,a*=e,n*=e;var o=Math.sin(r),s=Math.cos(r),u=Math.sin(a),c=Math.cos(a),i=Math.sin(n),h=Math.cos(n);return t[0]=o*c*h-s*u*i,t[1]=s*u*h+o*c*i,t[2]=s*c*i-o*u*h,t[3]=s*c*h+o*u*i,t},a.str=function(t){return\"quat(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\")\"},a.clone=u.clone,a.fromValues=u.fromValues,a.copy=u.copy,a.set=u.set,a.add=u.add,a.mul=h,a.scale=u.scale,a.dot=u.dot,a.lerp=u.lerp,a.length=u.length,a.len=a.length,a.squaredLength=u.squaredLength,a.sqrLen=a.squaredLength,a.normalize=u.normalize,a.exactEquals=u.exactEquals,a.equals=u.equals,a.rotationTo=(m=s.create(),q=s.fromValues(1,0,0),d=s.fromValues(0,1,0),function(t,r,n){var e=s.dot(r,n);return e<-.999999?(s.cross(m,q,r),s.len(m)<1e-6&&s.cross(m,d,r),s.normalize(m,m),i(t,m,Math.PI),t):e>.999999?(t[0]=0,t[1]=0,t[2]=0,t[3]=1,t):(s.cross(m,r,n),t[0]=m[0],t[1]=m[1],t[2]=m[2],t[3]=1+e,a.normalize(t,t))}),a.sqlerp=(p=c(),A=c(),function(t,r,a,n,e,o){return f(p,r,e,o),f(A,a,n,o),f(t,p,A,2*o*(1-o)),t}),a.setAxes=(g=o.create(),function(t,r,n,e){return g[0]=n[0],g[3]=n[1],g[6]=n[2],g[1]=e[0],g[4]=e[1],g[7]=e[2],g[2]=-r[0],g[5]=-r[1],g[8]=-r[2],a.normalize(t,v(t,g))})},\n",
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u[0]=n[0]-r[0],u[1]=n[1]-r[1],u[2]=n[2]-r[2],e[0]=u[0],e[1]=u[1]*Math.cos(a)-u[2]*Math.sin(a),e[2]=u[1]*Math.sin(a)+u[2]*Math.cos(a),t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},r.rotateY=function(t,n,r,a){var u=[],e=[];return u[0]=n[0]-r[0],u[1]=n[1]-r[1],u[2]=n[2]-r[2],e[0]=u[2]*Math.sin(a)+u[0]*Math.cos(a),e[1]=u[1],e[2]=u[2]*Math.cos(a)-u[0]*Math.sin(a),t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},r.rotateZ=function(t,n,r,a){var u=[],e=[];return u[0]=n[0]-r[0],u[1]=n[1]-r[1],u[2]=n[2]-r[2],e[0]=u[0]*Math.cos(a)-u[1]*Math.sin(a),e[1]=u[0]*Math.sin(a)+u[1]*Math.cos(a),e[2]=u[2],t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},r.angle=function(t,n){var r=t[0],a=t[1],u=t[2],e=n[0],o=n[1],i=n[2],c=Math.sqrt(r*r+a*a+u*u)*Math.sqrt(e*e+o*o+i*i),h=c&&f(t,n)/c;return Math.acos(Math.min(Math.max(h,-1),1))},r.zero=function(t){return t[0]=0,t[1]=0,t[2]=0,t},r.str=function(t){return\"vec3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\")\"},r.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]},r.equals=function(t,n){var r=t[0],u=t[1],e=t[2],o=n[0],i=n[1],c=n[2];return Math.abs(r-o)<=a.EPSILON*Math.max(1,Math.abs(r),Math.abs(o))&&Math.abs(u-i)<=a.EPSILON*Math.max(1,Math.abs(u),Math.abs(i))&&Math.abs(e-c)<=a.EPSILON*Math.max(1,Math.abs(e),Math.abs(c))},r.sub=o,r.mul=i,r.div=c,r.dist=h,r.sqrDist=M,r.len=e,r.sqrLen=s,r.forEach=(l=u(),function(t,n,r,a,u,e){var o,i;for(n||(n=3),r||(r=0),i=a?Math.min(a*n+r,t.length):t.length,o=r;o<i;o+=n)l[0]=t[o],l[1]=t[o+1],l[2]=t[o+2],u(l,l,e),t[o]=l[0],t[o+1]=l[1],t[o+2]=l[2];return t})},\n",
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u.rotateX(t,a,n),r=t[0],e=t[1],o=t[2],i=t[3],t[4]=M*i+v*r+l*o-b*e,t[5]=l*i+v*e+b*r-M*o,t[6]=b*i+v*o+M*e-l*r,t[7]=v*i-M*r-l*e-b*o,t},n.rotateY=function(t,a,n){var r=-a[0],e=-a[1],o=-a[2],i=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*i+f*r+c*o-h*e,l=c*i+f*e+h*r-s*o,b=h*i+f*o+s*e-c*r,v=f*i-s*r-c*e-h*o;return u.rotateY(t,a,n),r=t[0],e=t[1],o=t[2],i=t[3],t[4]=M*i+v*r+l*o-b*e,t[5]=l*i+v*e+b*r-M*o,t[6]=b*i+v*o+M*e-l*r,t[7]=v*i-M*r-l*e-b*o,t},n.rotateZ=function(t,a,n){var r=-a[0],e=-a[1],o=-a[2],i=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*i+f*r+c*o-h*e,l=c*i+f*e+h*r-s*o,b=h*i+f*o+s*e-c*r,v=f*i-s*r-c*e-h*o;return u.rotateZ(t,a,n),r=t[0],e=t[1],o=t[2],i=t[3],t[4]=M*i+v*r+l*o-b*e,t[5]=l*i+v*e+b*r-M*o,t[6]=b*i+v*o+M*e-l*r,t[7]=v*i-M*r-l*e-b*o,t},n.rotateByQuatAppend=function(t,a,n){var r=n[0],e=n[1],u=n[2],o=n[3],i=a[0],s=a[1],c=a[2],h=a[3];return t[0]=i*o+h*r+s*u-c*e,t[1]=s*o+h*e+c*r-i*u,t[2]=c*o+h*u+i*e-s*r,t[3]=h*o-i*r-s*e-c*u,i=a[4],s=a[5],c=a[6],h=a[7],t[4]=i*o+h*r+s*u-c*e,t[5]=s*o+h*e+c*r-i*u,t[6]=c*o+h*u+i*e-s*r,t[7]=h*o-i*r-s*e-c*u,t},n.rotateByQuatPrepend=function(t,a,n){var r=a[0],e=a[1],u=a[2],o=a[3],i=n[0],s=n[1],c=n[2],h=n[3];return t[0]=r*h+o*i+e*c-u*s,t[1]=e*h+o*s+u*i-r*c,t[2]=u*h+o*c+r*s-e*i,t[3]=o*h-r*i-e*s-u*c,i=n[4],s=n[5],c=n[6],h=n[7],t[4]=r*h+o*i+e*c-u*s,t[5]=e*h+o*s+u*i-r*c,t[6]=u*h+o*c+r*s-e*i,t[7]=o*h-r*i-e*s-u*c,t},n.rotateAroundAxis=function(t,a,n,r){if(Math.abs(r)<e.EPSILON)return s(t,a);var u=Math.hypot(n[0],n[1],n[2]);r*=.5;var o=Math.sin(r),i=o*n[0]/u,c=o*n[1]/u,h=o*n[2]/u,f=Math.cos(r),M=a[0],l=a[1],b=a[2],v=a[3];t[0]=M*f+v*i+l*h-b*c,t[1]=l*f+v*c+b*i-M*h,t[2]=b*f+v*h+M*c-l*i,t[3]=v*f-M*i-l*c-b*h;var m=a[4],R=a[5],P=a[6],d=a[7];return t[4]=m*f+d*i+R*h-P*c,t[5]=R*f+d*c+P*i-m*h,t[6]=P*f+d*h+m*c-R*i,t[7]=d*f-m*i-R*c-P*h,t},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t},n.multiply=c,n.mul=c,n.scale=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t},n.dot=u.dot,n.lerp=function(t,a,r,e){var u=1-e;return n.dot(a,r)<0&&(e=-e),t[0]=a[0]*u+r[0]*e,t[1]=a[1]*u+r[1]*e,t[2]=a[2]*u+r[2]*e,t[3]=a[3]*u+r[3]*e,t[4]=a[4]*u+r[4]*e,t[5]=a[5]*u+r[5]*e,t[6]=a[6]*u+r[6]*e,t[7]=a[7]*u+r[7]*e,t},n.invert=function(t,a){var r=n.squaredLength(a);return t[0]=-a[0]/r,t[1]=-a[1]/r,t[2]=-a[2]/r,t[3]=a[3]/r,t[4]=-a[4]/r,t[5]=-a[5]/r,t[6]=-a[6]/r,t[7]=a[7]/r,t},n.conjugate=function(t,a){return t[0]=-a[0],t[1]=-a[1],t[2]=-a[2],t[3]=a[3],t[4]=-a[4],t[5]=-a[5],t[6]=-a[6],t[7]=a[7],t},n.length=u.length,n.len=n.length,n.squaredLength=u.squaredLength,n.sqrLen=n.squaredLength,n.normalize=function(t,a){var r=n.squaredLength(a);if(r>0){r=Math.sqrt(r);var e=a[0]/r,u=a[1]/r,o=a[2]/r,i=a[3]/r,s=a[4],c=a[5],h=a[6],f=a[7],M=e*s+u*c+o*h+i*f;t[0]=e,t[1]=u,t[2]=o,t[3]=i,t[4]=(s-e*M)/r,t[5]=(c-u*M)/r,t[6]=(h-o*M)/r,t[7]=(f-i*M)/r}return t},n.str=function(t){return\"quat2(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\")\"},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]},n.equals=function(t,a){var n=t[0],r=t[1],u=t[2],o=t[3],i=t[4],s=t[5],c=t[6],h=t[7],f=a[0],M=a[1],l=a[2],b=a[3],v=a[4],m=a[5],R=a[6],P=a[7];return 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+       "      \"c56d9ff837\": function _(n,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=n(\"tslib\").__importStar(n(\"68ca94c15c\"));function u(){var n=new a.ARRAY_TYPE(2);return a.ARRAY_TYPE!=Float32Array&&(n[0]=0,n[1]=0),n}function e(n,t,r){return n[0]=t[0]-r[0],n[1]=t[1]-r[1],n}function o(n,t,r){return n[0]=t[0]*r[0],n[1]=t[1]*r[1],n}function c(n,t,r){return n[0]=t[0]/r[0],n[1]=t[1]/r[1],n}function i(n,t){var r=t[0]-n[0],a=t[1]-n[1];return Math.hypot(r,a)}function f(n,t){var r=t[0]-n[0],a=t[1]-n[1];return r*r+a*a}function s(n){var t=n[0],r=n[1];return Math.hypot(t,r)}function h(n){var t=n[0],r=n[1];return t*t+r*r}var M;r.create=u,r.clone=function(n){var t=new a.ARRAY_TYPE(2);return t[0]=n[0],t[1]=n[1],t},r.fromValues=function(n,t){var r=new a.ARRAY_TYPE(2);return r[0]=n,r[1]=t,r},r.copy=function(n,t){return n[0]=t[0],n[1]=t[1],n},r.set=function(n,t,r){return n[0]=t,n[1]=r,n},r.add=function(n,t,r){return n[0]=t[0]+r[0],n[1]=t[1]+r[1],n},r.subtract=e,r.multiply=o,r.divide=c,r.ceil=function(n,t){return n[0]=Math.ceil(t[0]),n[1]=Math.ceil(t[1]),n},r.floor=function(n,t){return n[0]=Math.floor(t[0]),n[1]=Math.floor(t[1]),n},r.min=function(n,t,r){return n[0]=Math.min(t[0],r[0]),n[1]=Math.min(t[1],r[1]),n},r.max=function(n,t,r){return n[0]=Math.max(t[0],r[0]),n[1]=Math.max(t[1],r[1]),n},r.round=function(n,t){return n[0]=Math.round(t[0]),n[1]=Math.round(t[1]),n},r.scale=function(n,t,r){return n[0]=t[0]*r,n[1]=t[1]*r,n},r.scaleAndAdd=function(n,t,r,a){return n[0]=t[0]+r[0]*a,n[1]=t[1]+r[1]*a,n},r.distance=i,r.squaredDistance=f,r.length=s,r.squaredLength=h,r.negate=function(n,t){return n[0]=-t[0],n[1]=-t[1],n},r.inverse=function(n,t){return n[0]=1/t[0],n[1]=1/t[1],n},r.normalize=function(n,t){var r=t[0],a=t[1],u=r*r+a*a;return u>0&&(u=1/Math.sqrt(u)),n[0]=t[0]*u,n[1]=t[1]*u,n},r.dot=function(n,t){return n[0]*t[0]+n[1]*t[1]},r.cross=function(n,t,r){var a=t[0]*r[1]-t[1]*r[0];return n[0]=n[1]=0,n[2]=a,n},r.lerp=function(n,t,r,a){var u=t[0],e=t[1];return n[0]=u+a*(r[0]-u),n[1]=e+a*(r[1]-e),n},r.random=function(n,t){t=t||1;var r=2*a.RANDOM()*Math.PI;return n[0]=Math.cos(r)*t,n[1]=Math.sin(r)*t,n},r.transformMat2=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u,n[1]=r[1]*a+r[3]*u,n},r.transformMat2d=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u+r[4],n[1]=r[1]*a+r[3]*u+r[5],n},r.transformMat3=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[3]*u+r[6],n[1]=r[1]*a+r[4]*u+r[7],n},r.transformMat4=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[4]*u+r[12],n[1]=r[1]*a+r[5]*u+r[13],n},r.rotate=function(n,t,r,a){var u=t[0]-r[0],e=t[1]-r[1],o=Math.sin(a),c=Math.cos(a);return n[0]=u*c-e*o+r[0],n[1]=u*o+e*c+r[1],n},r.angle=function(n,t){var r=n[0],a=n[1],u=t[0],e=t[1],o=Math.sqrt(r*r+a*a)*Math.sqrt(u*u+e*e),c=o&&(r*u+a*e)/o;return Math.acos(Math.min(Math.max(c,-1),1))},r.zero=function(n){return n[0]=0,n[1]=0,n},r.str=function(n){return\"vec2(\"+n[0]+\", \"+n[1]+\")\"},r.exactEquals=function(n,t){return n[0]===t[0]&&n[1]===t[1]},r.equals=function(n,t){var r=n[0],u=n[1],e=t[0],o=t[1];return Math.abs(r-e)<=a.EPSILON*Math.max(1,Math.abs(r),Math.abs(e))&&Math.abs(u-o)<=a.EPSILON*Math.max(1,Math.abs(u),Math.abs(o))},r.len=s,r.sub=e,r.mul=o,r.div=c,r.dist=i,r.sqrDist=f,r.sqrLen=h,r.forEach=(M=u(),function(n,t,r,a,u,e){var o,c;for(t||(t=2),r||(r=0),c=a?Math.min(a*t+r,n.length):n.length,o=r;o<c;o+=t)M[0]=n[o],M[1]=n[o+1],u(M,M,e),n[o]=M[0],n[o+1]=M[1];return n})},\n",
+       "      }, \"4e90918c0a\", {\"index\":\"4e90918c0a\",\"models/index\":\"22ae8fda70\",\"models/ace\":\"3343056bd8\",\"models/layout\":\"7116a7a602\",\"models/audio\":\"66d52165db\",\"models/comm_manager\":\"71a9759436\",\"models/deckgl\":\"d0d2aafca0\",\"models/tooltips\":\"064eac2866\",\"models/html\":\"ed08037ce5\",\"models/json\":\"284504a0cf\",\"models/file_download\":\"61c9ac7aac\",\"models/katex\":\"7b859fb3cf\",\"models/mathjax\":\"0c21036737\",\"models/player\":\"79c41bbf71\",\"models/plotly\":\"56da045fbd\",\"models/util\":\"990b5dd5c7\",\"models/progress\":\"76307e5afa\",\"models/state\":\"38b2bc9574\",\"models/vega\":\"294adeb985\",\"models/video\":\"b0c3e9e9c2\",\"models/videostream\":\"3c7145a2fa\",\"models/vtk/index\":\"ecfbb965eb\",\"models/vtk/vtk\":\"5b5e56e89a\",\"models/vtk/vtk_layout\":\"c704c63c0a\",\"models/vtk/vtk_utils\":\"aaf560d219\",\"models/vtk/vtkvolume\":\"729dd26c71\",\"models/vtk/vtkaxes\":\"e23461e5d7\"}, {});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END panel.min.js */\n",
+       "    },\n",
+       "    function(Bokeh) {} // ensure no trailing comma for IE\n",
+       "  ];\n",
+       "\n",
+       "  function run_inline_js() {\n",
+       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
+       "      for (var i = 0; i < inline_js.length; i++) {\n",
+       "        inline_js[i].call(root, root.Bokeh);\n",
+       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
+       "      setTimeout(run_inline_js, 100);\n",
+       "    } else if (!root._bokeh_failed_load) {\n",
+       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
+       "      root._bokeh_failed_load = true;\n",
+       "    }\n",
+       "  }\n",
+       "\n",
+       "  if (root._bokeh_is_loading === 0) {\n",
+       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
+       "    run_inline_js();\n",
+       "  } else {\n",
+       "    load_libs(css_urls, js_urls, function() {\n",
+       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+       "      run_inline_js();\n",
+       "    });\n",
+       "  }\n",
+       "}(window));"
+      ],
+      "application/vnd.holoviews_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    if (window.requirejs) {\n      window.requirejs.config({'paths': {'plotly': 'https://cdn.plot.ly/plotly-latest.min'}});\n      require([\"plotly\"], function(Plotly,) {\n        window.Plotly = Plotly;\n        run_callbacks();\n      })\n    } else {\n      var skip = [];\n      if ((window['Plotly'] !== undefined) && (!(window['Plotly'] instanceof HTMLElement))) {\n        var urls = ['https://cdn.plot.ly/plotly-latest.min.js'];\n        for (var i = 0; i < urls.length; i++) {\n          skip.push(urls[i])\n        }\n      }\n      for (var i = 0; i < js_urls.length; i++) {\n        var url = js_urls[i];\n        if (skip.indexOf(url) >= 0) { on_load(); continue; }\n        var element = document.createElement('script');\n        element.onload = on_load;\n        element.onerror = on_error;\n        element.async = false;\n        element.src = url;\n        console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n        document.head.appendChild(element);\n      }\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://code.jquery.com/jquery-3.4.1.min.js\", \"https://cdn.plot.ly/plotly-latest.min.js\"];\n  var css_urls = [];\n\n  var inline_js = [\n    function(Bokeh) {\n      inject_raw_css(\"table.panel-df {\\n    margin-left: auto;\\n    margin-right: auto;\\n    border: none;\\n    border-collapse: collapse;\\n    border-spacing: 0;\\n    color: black;\\n    font-size: 12px;\\n    table-layout: fixed;\\n    width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n    text-align: right;\\n    vertical-align: middle;\\n    padding: 0.5em 0.5em !important;\\n    line-height: normal;\\n    white-space: normal;\\n    max-width: none;\\n    border: none;\\n}\\n\\n.panel-df tbody {\\n    display: table-row-group;\\n    vertical-align: middle;\\n    border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n    background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n    border-bottom: 1px solid black;\\n    vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n    background: lightblue !important;\\n    cursor: pointer;\\n}\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n  color: black;\\n  text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n  color: green;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n  color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n  color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n  color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n  color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n  background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: blue;\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n  color: #00008B;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n  color: white;\\n  text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n  color: #31F031;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n  color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n  color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n  color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n  color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n  color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n  background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: #027BFF;\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n  color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n  color: #23A0DB;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite  { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".panel-widget-box {\\n\\tmin-height: 20px;\\n\\tbackground-color: #f5f5f5;\\n\\tborder: 1px solid #e3e3e3 !important;\\n\\tborder-radius: 4px;\\n\\t-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\tbox-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\toverflow-x: hidden;\\n\\toverflow-y: hidden;\\n}\\n\\n.scrollable {\\n  overflow: scroll;\\n}\\n\\nprogress {\\n\\tappearance: none;\\n\\t-moz-appearance: none;\\n\\t-webkit-appearance: none;\\n\\n\\tborder: none;\\n\\theight: 20px;\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n\\tcolor: royalblue;\\n\\tposition: relative;\\n\\tmargin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n\\tposition: relative;\\n\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n\\tborder-radius:3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n\\tcontent:\\\" \\\";\\n\\tposition:absolute;\\n\\theight: 20px;\\n\\ttop:0;\\n\\tleft:0;\\n\\tright:0;\\n\\tbottom:0;\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n  from {background-position: 0%}\\n  to {background-position: 100%}\\n}\\n\");\n    },\n    function(Bokeh) {\n      /* BEGIN bokeh.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. 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_.LODStart)),this._interactive_timestamp=Date.now()}interactive_stop(e){null!=this._interactive_plot&&this._interactive_plot.id===e.id&&this._interactive_plot.trigger_event(new _.LODEnd),this._interactive_plot=null,this._interactive_timestamp=null}interactive_duration(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=d.copy(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(\"Somehow we didn't detach \"+e);if(0!=this._all_models.size)throw new Error(\"this._all_models still had stuff in it: \"+this._all_models);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){i.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=f.union(e,t.references());const t=new Set(this._all_models.values()),s=f.difference(t,e),o=f.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(i.logger.debug(\"Adding root: \"+e),!d.includes(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new v.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof w.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof v.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new 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in e){const o=e[s];t[s]=n(o)}return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:r,attributes:i}of e){const e=!t.has(r),_=e?s.get(r):t.get(r),a=y._resolve_refs(i,t,s,o);_.setv(a,{silent:!0}),n.set(r,{instance:_,is_new:e})}const r=[],i=new Set;function _(e){if(e instanceof a.HasProps){if(n.has(e.id)&&!i.has(e.id)){i.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e in o)_(o[e]);s&&(t.finalize(),r.push(t))}}else if(m.isArray(e))for(const t of e)_(t);else if(m.isPlainObject(e))for(const t in e)_(e[t])}for(const e of n.values())_(e.instance);for(const e of r)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const r={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return a.HasProps._json_record_references(o,s,n,{recursive:!0}),r}return null}static _events_to_sync_objects(e,t,s,o){const 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s}function r(e){const[t]=Object.keys(e),[s]=t.split(\"_\",1);return s}h.isArray(e)||(e=[e]);const n={},i=[];for(const o of e)if(h.isString(o)){const[e,r=\"\"]=o.split(\":\"),c=t(e);i.push(o),u.extend(n,s(r,c))}else if(h.isArray(o)){const[e,t]=o;i.push(`${r(t)}:${e}`),u.extend(n,s(e,t))}else{const e=o;i.push(r(e)),u.extend(n,e)}this.define(n),this.prototype._mixins=[...this.prototype._mixins,...i]}static override(e){for(const[t,s]of u.entries(e)){const e=this._fix_default(s,t),r=this.prototype._props[t];if(null==r)throw new Error(`attempted to override nonexistent '${this.prototype.type}.${t}'`);const n=u.clone(this.prototype._props);n[t]=Object.assign(Object.assign({},r),{default_value:e}),this.prototype._props=n}}toString(){return`${this.type}(${this.id})`}property(e){const t=this.properties[e];if(null!=t)return t;throw new Error(`unknown property ${this.type}.${e}`)}get attributes(){const e={};for(const t of this)e[t.attr]=t.get_value();return e}finalize(){for(const e of 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t}return e}attributes_as_json(e=!0,t=y._value_to_json){const s={};for(const r of this)r.syncable&&(e||r.dirty)&&(s[r.attr]=t(r.get_value()));return s}static _json_record_references(e,t,s,r){const{recursive:n}=r;if(i.is_ref(t)){const r=e.get_model_by_id(t.id);null==r||s.has(r)||y._value_record_references(r,s,{recursive:n})}else if(h.isArray(t))for(const r of t)y._json_record_references(e,r,s,{recursive:n});else if(h.isPlainObject(t))for(const r in t)if(t.hasOwnProperty(r)){const i=t[r];y._json_record_references(e,i,s,{recursive:n})}}static _value_record_references(e,t,s){const{recursive:r}=s;if(e instanceof y){if(!t.has(e)&&(t.add(e),r)){const s=e._immediate_references();for(const e of s)y._value_record_references(e,t,{recursive:!0})}}else if(h.isArray(e))for(const s of e)y._value_record_references(s,t,{recursive:r});else if(h.isPlainObject(e))for(const s in e)if(e.hasOwnProperty(s)){const n=e[s];y._value_record_references(n,t,{recursive:r})}}_immediate_references(){const e=new Set;for(const t of this.syncable_properties()){const s=t.get_value();y._value_record_references(s,e,{recursive:!1})}return[...e.values()]}references(){const e=new Set;return y._value_record_references(this,e,{recursive:!0}),e}_doc_attached(){}_doc_detached(){}attach_document(e){if(null!=this.document&&this.document!=e)throw new Error(\"models must be owned by only a single document\");this.document=e,this._doc_attached()}detach_document(){this._doc_detached(),this.document=null}_needs_invalidate(e,t){const s=new Set;y._value_record_references(t,s,{recursive:!1});const r=new Set;y._value_record_references(e,r,{recursive:!1});for(const e of s)if(!r.has(e))return!0;for(const e of r)if(!s.has(e))return!0;return!1}_push_changes(e,t={}){const{document:s}=this;if(null==s)return;const{setter_id:r}=t,n=[];for(const[t,i,o]of e)t.syncable&&n.push(new l.ModelChangedEvent(s,this,t.attr,i,o,r));if(0!=n.length){let e;1==n.length?[e]=n:e=new l.DocumentEventBatch(s,n,r),s._trigger_on_change(e)}}materialize_dataspecs(e){const t={};for(const s of this){if(!(s instanceof o.VectorSpec))continue;if(s.optional&&null==s.spec.value&&!s.dirty)continue;const r=s.attr,n=s.array(e);t[\"_\"+r]=n,s instanceof o.DistanceSpec&&(t[\"max_\"+r]=_.max(n))}return t}on_change(e,t){for(const s of h.isArray(e)?e:[e])this.connect(s.change,t)}}s.HasProps=y,y.init_HasProps()},\n      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=n(15),l=n(9);class o{constructor(n,t){this.sender=n,this.name=t}connect(n,t=null){c.has(this.sender)||c.set(this.sender,[]);const e=c.get(this.sender);if(null!=u(e,this,n,t))return!1;const s=t||n;r.has(s)||r.set(s,[]);const l=r.get(s),o={signal:this,slot:n,context:t};return e.push(o),l.push(o),!0}disconnect(n,t=null){const e=c.get(this.sender);if(null==e||0===e.length)return!1;const s=u(e,this,n,t);if(null==s)return!1;const l=t||n,o=r.get(l);return s.signal=null,f(e),f(o),!0}emit(n){const 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e)n.signal=null;f(e)}}}(o||(e.Signal=o={})),e.Signalable=function(){return class{connect(n,t){return n.connect(t,this)}disconnect(n,t){return n.disconnect(t,this)}}};const c=new WeakMap,r=new WeakMap;function u(n,t,e,s){return l.find(n,n=>n.signal===t&&n.slot===e&&n.context===s)}const g=new Set;function f(n){0===g.size&&s.defer(a),g.add(n)}function a(){for(const n of g)l.remove_by(n,n=>null==n.signal);g.clear()}},\n      function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.delay=\n      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n      //     Underscore may be freely distributed under the MIT license.\n      function(n,e){return setTimeout(n,e)};const u=\"function\"==typeof requestAnimationFrame?requestAnimationFrame:setImmediate;t.defer=function(n){return new Promise(e=>{u(()=>e(n()))})},t.throttle=function(n,e,t={}){let u,o,i,r=null,l=0;const 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enum_values(){return s.Direction}normalize(e){const t=new Uint8Array(e.length);for(let n=0;n<e.length;n++)switch(e[n]){case\"clock\":t[n]=0;break;case\"anticlock\":t[n]=1}return 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N extends p{get_value(){return null===this.spec.value?null:this.spec}_update(e){d(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}}n.ScalarSpec=N,N.__name__=\"ScalarSpec\";class z extends N{}n.AnyScalar=z,z.__name__=\"AnyScalar\";class D extends N{}n.ColorScalar=D,D.__name__=\"ColorScalar\";class F extends N{}n.NumberScalar=F,F.__name__=\"NumberScalar\";class k extends N{}n.StringScalar=k,k.__name__=\"StringScalar\";class O extends N{}n.NullStringScalar=O,O.__name__=\"NullStringScalar\";class U extends N{}n.ArrayScalar=U,U.__name__=\"ArrayScalar\";class w extends N{}n.LineJoinScalar=w,w.__name__=\"LineJoinScalar\";class R extends N{}n.LineCapScalar=R,R.__name__=\"LineCapScalar\";class E extends N{}n.FontSizeScalar=E,E.__name__=\"FontSizeScalar\";class $ extends N{}n.FontStyleScalar=$,$.__name__=\"FontStyleScalar\";class H extends N{}n.TextAlignScalar=H,H.__name__=\"TextAlignScalar\";class j extends N{}n.TextBaselineScalar=j,j.__name__=\"TextBaselineScalar\";class I extends p{get_value(){return null===this.spec.value?null:this.spec}_update(e){d(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}array(e){let t;if(null!=this.spec.field){if(t=this.normalize(e.get_column(this.spec.field)),null==t)throw new Error(`attempted to retrieve property array for nonexistent field '${this.spec.field}'`)}else if(null!=this.spec.expr)t=this.normalize(this.spec.expr.v_compute(e));else{let n=e.get_length();null==n&&(n=1);const i=this.value(!1);t=r.repeat(i,n)}return null!=this.spec.transform&&(t=this.spec.transform.v_compute(t)),t}}n.VectorSpec=I,I.__name__=\"VectorSpec\";class J extends I{}n.DataSpec=J,J.__name__=\"DataSpec\";class V extends I{_update(e){super._update(e),null==this.spec.units&&(this.spec.units=this.default_units);const t=this.spec.units;if(!r.includes(this.valid_units,t))throw new Error(`units must be one of ${this.valid_units.join(\", \")}; 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i.color2css(this.line_color.value(),this.line_alpha.value())}}a.Line=p,p.__name__=\"Line\",p.prototype.attrs=Object.keys(c.LineVector);class v extends u{set_value(e){e.fillStyle=this.fill_color.value(),e.globalAlpha=this.fill_alpha.value()}get doit(){return!(null===this.fill_color.spec.value||0==this.fill_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"fill_color\",t),e.fillStyle=this.cache.fill_color,this.cache_select(\"fill_alpha\",t),e.globalAlpha=this.cache.fill_alpha}color_value(){return i.color2css(this.fill_color.value(),this.fill_alpha.value())}}a.Fill=v,v.__name__=\"Fill\",v.prototype.attrs=Object.keys(c.FillVector);class f extends u{cache_select(e,t){let a;if(\"pattern\"==e){this.cache_select(\"hatch_color\",t),this.cache_select(\"hatch_scale\",t),this.cache_select(\"hatch_pattern\",t),this.cache_select(\"hatch_weight\",t);const{hatch_color:e,hatch_scale:a,hatch_pattern:s,hatch_weight:c,hatch_extra:l}=this.cache;if(null!=l&&l.hasOwnProperty(s)){const t=l[s];this.cache.pattern=t.get_pattern(e,a,c)}else this.cache.pattern=t=>{const l=_(s,e,a,c);return t.createPattern(l,\"repeat\")}}else a=super.cache_select(e,t);return a}_try_defer(e){const{hatch_pattern:t,hatch_extra:a}=this.cache;if(null!=a&&a.hasOwnProperty(t)){a[t].onload(e)}}get doit(){return!(null===this.hatch_color.spec.value||0==this.hatch_alpha.spec.value||\" \"==this.hatch_pattern.spec.value||\"blank\"==this.hatch_pattern.spec.value||null===this.hatch_pattern.spec.value)}doit2(e,t,a,s){if(!this.doit)return;this.cache_select(\"pattern\",t),null==this.cache.pattern(e)?this._try_defer(s):(this.set_vectorize(e,t),a())}_set_vectorize(e,t){this.cache_select(\"pattern\",t),e.fillStyle=this.cache.pattern(e),this.cache_select(\"hatch_alpha\",t),e.globalAlpha=this.cache.hatch_alpha}color_value(){return i.color2css(this.hatch_color.value(),this.hatch_alpha.value())}}a.Hatch=f,f.__name__=\"Hatch\",f.prototype.attrs=Object.keys(c.HatchVector);class d extends u{color_value(){return i.color2css(this.text_color.value(),this.text_alpha.value())}font_value(){const e=this.text_font.value(),t=this.text_font_size.value();return`${this.text_font_style.value()} ${t} ${e}`}v_font_value(e){super.cache_select(\"text_font_style\",e),super.cache_select(\"text_font_size\",e),super.cache_select(\"text_font\",e);const{text_font_style:t,text_font_size:a,text_font:s}=this.cache;return`${t} ${a} ${s}`}cache_select(e,t){let a;return\"font\"==e?this.cache.font=a=this.v_font_value(t):a=super.cache_select(e,t),a}set_value(e){e.font=this.font_value(),e.fillStyle=this.text_color.value(),e.globalAlpha=this.text_alpha.value(),e.textAlign=this.text_align.value(),e.textBaseline=this.text_baseline.value()}get doit(){return!(null===this.text_color.spec.value||0==this.text_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"font\",t),e.font=this.cache.font,this.cache_select(\"text_color\",t),e.fillStyle=this.cache.text_color,this.cache_select(\"text_alpha\",t),e.globalAlpha=this.cache.text_alpha,this.cache_select(\"text_align\",t),e.textAlign=this.cache.text_align,this.cache_select(\"text_baseline\",t),e.textBaseline=this.cache.text_baseline}}a.Text=d,d.__name__=\"Text\",d.prototype.attrs=Object.keys(c.TextVector);class k{constructor(e){for(const t of e._mixins){const[a,s=\"\"]=t.split(\":\");let c;switch(a){case\"line\":c=p;break;case\"fill\":c=v;break;case\"hatch\":c=f;break;case\"text\":c=d;break;default:throw new Error(\"unknown visual: \"+a)}this[s+a]=new c(e,s)}}warm_cache(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&a.warm_cache(e)}}set_all_indices(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&(a.all_indices=e)}}}a.Visuals=k,k.__name__=\"Visuals\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),c=e(13),i=n.__importStar(e(18)),a=e(8),r=e(17),o=e(72);class l extends c.HasProps{constructor(e){super(e)}static init_Model(){this.define({tags:[i.Array,[]],name:[i.String],js_property_callbacks:[i.Any,{}],js_event_callbacks:[i.Any,{}],subscribed_events:[i.Array,[]]})}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,()=>this._update_property_callbacks()),this.connect(this.properties.js_event_callbacks.change,()=>this._update_event_callbacks()),this.connect(this.properties.subscribed_events.change,()=>this._update_event_callbacks())}_process_event(e){for(const t of this.js_event_callbacks[e.event_name]||[])t.execute(e);null!=this.document&&this.subscribed_events.some(t=>t==e.event_name)&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):o.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of r.entries(this.js_property_callbacks)){const n=s.map(e=>()=>e.execute(this));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){r.isEmpty(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if(a.isString(e))return[...this.references()].filter(t=>t instanceof l&&t.name===e);if(e.prototype instanceof c.HasProps)return[...this.references()].filter(t=>t instanceof e);throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=l,l.__name__=\"Model\",l.init_Model()},\n      function _(e,l,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(8),t={};class s{constructor(e,l){this.name=e,this.level=l}}o.LogLevel=s,s.__name__=\"LogLevel\";class g{constructor(e,l=g.INFO){this._name=e,this.set_level(l)}static get levels(){return Object.keys(g.log_levels)}static get(e,l=g.INFO){if(e.length>0){let o=t[e];return null==o&&(t[e]=o=new g(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof s)this._log_level=e;else{if(!n.isString(e)||null==g.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=g.log_levels[e]}const l=`[${this._name}]`;for(const e in g.log_levels){g.log_levels[e].level<this._log_level.level||this._log_level.level===g.OFF.level?this[e]=function(){}:this[e]=r(e,l)}}trace(...e){}debug(...e){}info(...e){}warn(...e){}error(...e){}}function r(e,l){return null!=console[e]?console[e].bind(console,l):null!=console.log?console.log.bind(console,l):function(){}}function i(e){const l=o.logger.level;return n.isString(e)&&null==g.log_levels[e]?(console.log(`[bokeh] unrecognized logging level '${e}' passed to Bokeh.set_log_level(), ignoring`),console.log(\"[bokeh] valid log levels are: \"+g.levels.join(\", \"))):(console.log(`[bokeh] setting log level to: '${n.isString(e)?e:e.level}'`),o.logger.set_level(e)),l}o.Logger=g,g.__name__=\"Logger\",g.TRACE=new s(\"trace\",0),g.DEBUG=new s(\"debug\",1),g.INFO=new s(\"info\",2),g.WARN=new s(\"warn\",6),g.ERROR=new s(\"error\",7),g.FATAL=new s(\"fatal\",8),g.OFF=new s(\"off\",9),g.log_levels={trace:g.TRACE,debug:g.DEBUG,info:g.INFO,warn:g.WARN,error:g.ERROR,fatal:g.FATAL,off:g.OFF},o.logger=g.get(\"bokeh\"),o.set_log_level=i,o.with_log_level=function(e,l){const o=i(e);try{l()}finally{i(o)}}},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-shading {\\n  position: absolute;\\n  display: block;\\n  border: 1px dashed green;\\n}\\n\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),a=t(31),n=t(75),r=t(76),o=t(23),_=i.__importStar(t(18)),l=t(10);class h extends a.AnnotationView{initialize(){super.initialize(),null==this.model.source&&(this.model.source=new r.ColumnDataSource),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.set_data(this.model.source)),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source))}set_data(t){super.set_data(t),this.visuals.warm_cache(t),this.plot_view.request_render()}_map_data(){const{frame:t}=this.plot_view;let e,s,i,a;return\"data\"==this.model.start_units?(e=t.xscales[this.model.x_range_name].v_compute(this._x_start),s=t.yscales[this.model.y_range_name].v_compute(this._y_start)):(e=t.xview.v_compute(this._x_start),s=t.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(i=t.xscales[this.model.x_range_name].v_compute(this._x_end),a=t.yscales[this.model.y_range_name].v_compute(this._y_end)):(i=t.xview.v_compute(this._x_end),a=t.yview.v_compute(this._y_end)),[[e,s],[i,a]]}render(){if(!this.model.visible)return;const{ctx:t}=this.layer;t.save();const[e,s]=this._map_data();null!=this.model.end&&this._arrow_head(t,\"render\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"render\",this.model.start,s,e),t.beginPath();const{x:i,y:a,width:n,height:r}=this.plot_view.frame.bbox;t.rect(i,a,n,r),null!=this.model.end&&this._arrow_head(t,\"clip\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"clip\",this.model.start,s,e),t.closePath(),t.clip(),this._arrow_body(t,e,s),t.restore()}_arrow_head(t,e,s,i,a){for(let n=0,r=this._x_start.length;n<r;n++){const r=Math.PI/2+l.atan2([i[0][n],i[1][n]],[a[0][n],a[1][n]]);t.save(),t.translate(a[0][n],a[1][n]),t.rotate(r),\"render\"==e?s.render(t,n):\"clip\"==e&&s.clip(t,n),t.restore()}}_arrow_body(t,e,s){if(this.visuals.line.doit)for(let i=0,a=this._x_start.length;i<a;i++)this.visuals.line.set_vectorize(t,i),t.beginPath(),t.moveTo(e[0][i],e[1][i]),t.lineTo(s[0][i],s[1][i]),t.stroke()}}s.ArrowView=h,h.__name__=\"ArrowView\";class d extends a.Annotation{constructor(t){super(t)}static init_Arrow(){this.prototype.default_view=h,this.mixins(o.LineVector),this.define({x_start:[_.NumberSpec],y_start:[_.NumberSpec],start_units:[_.SpatialUnits,\"data\"],start:[_.Instance,null],x_end:[_.NumberSpec],y_end:[_.NumberSpec],end_units:[_.SpatialUnits,\"data\"],end:[_.Instance,()=>new n.OpenHead({})],source:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]})}}s.Arrow=d,d.__name__=\"Arrow\",d.init_Arrow()},\n      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),o=i(31),l=i(70),n=i(23),h=t.__importStar(i(18));class a extends o.Annotation{constructor(i){super(i)}static init_ArrowHead(){this.define({size:[h.Number,25]})}initialize(){super.initialize(),this.visuals=new l.Visuals(this)}}s.ArrowHead=a,a.__name__=\"ArrowHead\",a.init_ArrowHead();class r extends a{constructor(i){super(i)}static init_OpenHead(){this.mixins(n.LineVector)}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,0),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.stroke())}}s.OpenHead=r,r.__name__=\"OpenHead\",r.init_OpenHead();class z extends a{constructor(i){super(i)}static init_NormalHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._normal(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._normal(i,e),i.stroke())}_normal(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.closePath()}}s.NormalHead=z,z.__name__=\"NormalHead\",z.init_NormalHead();class _ extends a{constructor(i){super(i)}static init_VeeHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._vee(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._vee(i,e),i.stroke())}_vee(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.closePath()}}s.VeeHead=_,_.__name__=\"VeeHead\",_.init_VeeHead();class c extends a{constructor(i){super(i)}static init_TeeHead(){this.mixins(n.LineVector)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,0),i.lineTo(-.5*this.size,0),i.stroke())}clip(i,e){}}s.TeeHead=c,c.__name__=\"TeeHead\",c.init_TeeHead()},\n      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(77),r=s.__importStar(t(18)),i=t(8),l=t(17),a=s.__importStar(t(103)),c=t(104),u=t(105);function h(t,n,e){if(i.isArray(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if(i.isTypedArray(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let i;t.length<e?(i=new t.constructor(e),i.set(t,0)):i=t;for(let t=o,n=r;t<n;t++)i[t-o]=i[t];for(let t=0,e=n.length;t<e;t++)i[t+(r-o)]=n[t];return i}{const e=new t.constructor(n);return a.concat(t,e)}}throw new Error(\"unsupported array types\")}function d(t,n){let e,s,o;return i.isNumber(t)?(e=t,o=t+1,s=1):(e=null!=t.start?t.start:0,o=null!=t.stop?t.stop:n,s=null!=t.step?t.step:1),[e,o,s]}function m(t,n){const e=new Set;let s=!1;for(const[o,r]of n){let n,l,a,c;if(i.isArray(o)){const[s]=o;e.add(s),n=t[s].shape,l=t[s],c=r,2===o.length?(n=[1,n[0]],a=[o[0],0,o[1]]):a=o}else i.isNumber(o)?(c=[r],e.add(o)):(c=r,s=!0),a=[0,0,o],n=[1,t.length],l=t;let u=0;const[h,m,f]=d(a[1],n[0]),[_,p,g]=d(a[2],n[1]);for(let t=h;t<m;t+=f)for(let o=_;o<p;o+=g)s&&e.add(o),l[t*n[1]+o]=c[u],u++}return e}e.stream_to_column=h,e.slice=d,e.patch_to_column=m;class f extends o.ColumnarDataSource{constructor(t){super(t)}static init_ColumnDataSource(){this.define({data:[r.Any,{}]})}stream(t,n,e){const{data:s}=this;for(const e in t)s[e]=h(s[e],t[e],n);if(this.setv({data:s},{silent:!0}),this.streaming.emit(),null!=this.document){const s=new u.ColumnsStreamedEvent(this.document,this.ref(),t,n);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:s})}}patch(t,n){const{data:e}=this;let s=new Set;for(const[n,o]of l.entries(t))s=c.union(s,m(e[n],o));if(this.setv({data:e},{silent:!0}),this.patching.emit([...s]),null!=this.document){const e=new u.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:e})}}}e.ColumnDataSource=f,f.__name__=\"ColumnDataSource\",f.init_ColumnDataSource()},\n      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(78),i=t(14),r=t(72),c=t(80),l=a.__importStar(t(18)),o=t(8),u=t(9),h=t(17),g=t(79),_=t(102);class d extends s.DataSource{constructor(t){super(t)}get_array(t){let n=this.data[t];return null==n?this.data[t]=n=[]:o.isArray(n)||(this.data[t]=n=Array.from(n)),n}static init_ColumnarDataSource(){this.define({selection_policy:[l.Instance,()=>new _.UnionRenderers]}),this.internal({selection_manager:[l.Instance,t=>new c.SelectionManager({source:t})],inspected:[l.Instance,()=>new g.Selection]})}initialize(){super.initialize(),this._select=new i.Signal0(this,\"select\"),this.inspect=new i.Signal(this,\"inspect\"),this.streaming=new i.Signal0(this,\"streaming\"),this.patching=new i.Signal(this,\"patching\")}get_column(t){const n=this.data[t];return null!=n?n:null}columns(){return h.keys(this.data)}get_length(t=!0){const n=u.uniq(h.values(this.data).map(t=>t.length));switch(n.length){case 0:return null;case 1:return n[0];default:{const e=\"data source has columns of inconsistent lengths\";if(t)return r.logger.warn(e),n.sort()[0];throw new Error(e)}}}get_indices(){const t=this.get_length();return u.range(0,null!=t?t:1)}clear(){const t={};for(const n of this.columns())t[n]=new this.data[n].constructor(0);this.data=t}}e.ColumnarDataSource=d,d.__name__=\"ColumnarDataSource\",d.init_ColumnarDataSource()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const c=e(1),n=e(71),o=e(79),i=c.__importStar(e(18));class r extends n.Model{constructor(e){super(e)}static init_DataSource(){this.define({selected:[i.Instance,()=>new o.Selection]})}}a.DataSource=r,r.__name__=\"DataSource\",r.init_DataSource()},\n      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),l=t.__importStar(i(18)),c=i(9),_=i(17);class h extends n.Model{constructor(i){super(i)}static init_Selection(){this.define({indices:[l.Array,[]],line_indices:[l.Array,[]],multiline_indices:[l.Any,{}]}),this.internal({selected_glyphs:[l.Array,[]],get_view:[l.Any],image_indices:[l.Array,[]]})}initialize(){super.initialize(),this.get_view=()=>null}static from_hits(i){const e=c.sort_by(i,([,i])=>i).map(([i])=>i);return new h({indices:e})}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.get_view=i.get_view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.get_view=()=>null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=c.union(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=c.intersection(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=c.difference(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=h,h.__name__=\"Selection\",h.init_Selection()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(13),o=e(79),c=e(81),r=e(100),l=i.__importStar(e(18));class p extends n.HasProps{constructor(e){super(e),this.inspectors=new Map}static init_SelectionManager(){this.internal({source:[l.Any]})}select(e,t,s,i=\"replace\"){const n=[],o=[];for(const t of e)t instanceof c.GlyphRendererView?n.push(t):t instanceof r.GraphRendererView&&o.push(t);let l=!1;for(const e of o){const n=e.model.selection_policy.hit_test(t,e);l=l||e.model.selection_policy.do_selection(n,e.model,s,i)}if(n.length>0){const e=this.source.selection_policy.hit_test(t,n);l=l||this.source.selection_policy.do_selection(e,this.source,s,i)}return l}inspect(e,t){let s=!1;if(e instanceof c.GlyphRendererView){const i=e.hit_test(t);if(null!=i){s=!i.is_empty();const n=this.get_or_create_inspector(e.model);n.update(i,!0,\"replace\"),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof r.GraphRendererView){const i=e.model.inspection_policy.hit_test(t,e);s=s||e.model.inspection_policy.do_inspection(i,t,e,!1,\"replace\")}return s}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new o.Selection,this.inspectors.set(e,t)),t}}s.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(82),n=e(83),h=e(94),o=e(95),a=e(97),_=e(98),c=e(72),r=s.__importStar(e(18)),d=e(12),g=e(9),p=e(17),y=e(99),u=e(90),m={fill:{},line:{}},v={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},f={fill:{fill_alpha:.2},line:{}};class w extends l.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model.glyph,t=g.includes(e._mixins,\"fill\"),i=g.includes(e._mixins,\"line\"),s=p.clone(e.attributes);function l(l){const n=p.clone(s);return t&&p.extend(n,l.fill),i&&p.extend(n,l.line),new e.constructor(n)}delete s.id,this.glyph=await this.build_glyph_view(e);let{selection_glyph:n}=this.model;null==n?n=l({fill:{},line:{}}):\"auto\"===n&&(n=l(m)),this.selection_glyph=await this.build_glyph_view(n);let{nonselection_glyph:h}=this.model;null==h?h=l({fill:{},line:{}}):\"auto\"===h&&(h=l(f)),this.nonselection_glyph=await this.build_glyph_view(h);const{hover_glyph:o}=this.model;null!=o&&(this.hover_glyph=await this.build_glyph_view(o));const{muted_glyph:a}=this.model;null!=a&&(this.muted_glyph=await this.build_glyph_view(a));const _=l(v);this.decimated_glyph=await this.build_glyph_view(_),this.xscale=this.plot_view.frame.xscales[this.model.x_range_name],this.yscale=this.plot_view.frame.yscales[this.model.y_range_name],this.set_data(!1)}async build_glyph_view(e){return y.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.glyph.change,()=>this.set_data()),this.connect(this.model.data_source.change,()=>this.set_data()),this.connect(this.model.data_source.streaming,()=>this.set_data()),this.connect(this.model.data_source.patching,e=>this.set_data(!0,e)),this.connect(this.model.data_source.selected.change,()=>this.request_render()),this.connect(this.model.data_source._select,()=>this.request_render()),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,()=>this.request_render()),this.connect(this.model.properties.view.change,()=>this.set_data()),this.connect(this.model.view.change,()=>this.set_data()),this.connect(this.model.properties.visible.change,()=>this.plot_view.update_dataranges());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const i=e[t];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}for(const e in t){const i=t[e];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}this.connect(this.model.glyph.transformchange,()=>this.set_data())}have_selection_glyphs(){return null!=this.selection_glyph&&null!=this.nonselection_glyph}set_data(e=!0,t=null){const i=Date.now(),s=this.model.data_source;this.all_indices=this.model.view.indices,this.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.glyph.set_data(s,this.all_indices,t),this.glyph.set_visuals(s,this.all_indices),this.decimated_glyph.set_visuals(s,this.all_indices),this.have_selection_glyphs()&&(this.selection_glyph.set_visuals(s,this.all_indices),this.nonselection_glyph.set_visuals(s,this.all_indices)),null!=this.hover_glyph&&this.hover_glyph.set_visuals(s,this.all_indices),null!=this.muted_glyph&&this.muted_glyph.set_visuals(s,this.all_indices);const{lod_factor:l}=this.plot_model;this.decimated=[];for(let e=0,t=Math.floor(this.all_indices.length/l);e<t;e++)this.decimated.push(e*l);const n=Date.now()-i;c.logger.debug(`${this.glyph.model.type} ${this.model}): set_data finished in ${n}ms`),this.set_data_timestamp=Date.now(),e&&this.request_render()}get has_webgl(){return this.glyph.has_webgl}render(){if(!this.model.visible)return;const e=Date.now(),t=this.has_webgl;this.glyph.map_data();const i=Date.now()-e,s=Date.now();let l=this.glyph.mask_data(this.all_indices);l.length===this.all_indices.length&&(l=g.range(0,this.all_indices.length));const _=Date.now()-s,{ctx:r}=this.layer;r.save();const{selected:p}=this.model.data_source;let y;y=!p||p.is_empty()?[]:this.glyph instanceof n.LineView&&p.selected_glyph===this.glyph.model?this.model.view.convert_indices_from_subset(l):p.indices;const{inspected:u}=this.model.data_source,m=new Set((()=>!u||u.is_empty()?[]:u.selected_glyph?this.model.view.convert_indices_from_subset(l):u.indices.length>0?u.indices:Object.keys(u.multiline_indices).map(e=>parseInt(e)))()),v=d.filter(l,e=>m.has(this.all_indices[e])),{lod_threshold:f}=this.plot_model;let w,b,x;null!=this.model.document&&this.model.document.interactive_duration()>0&&!t&&null!=f&&this.all_indices.length>f?(l=this.decimated,w=this.decimated_glyph,b=this.decimated_glyph,x=this.selection_glyph):(w=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,b=this.nonselection_glyph,x=this.selection_glyph),null!=this.hover_glyph&&v.length&&(l=g.difference(l,v));let D,V=null;if(y.length&&this.have_selection_glyphs()){const e=Date.now(),t={};for(const e of y)t[e]=!0;const i=new Array,s=new Array;if(this.glyph instanceof n.LineView)for(const e of this.all_indices)null!=t[e]?i.push(e):s.push(e);else for(const e of l)null!=t[this.all_indices[e]]?i.push(e):s.push(e);V=Date.now()-e,D=Date.now(),b.render(r,s,this.glyph),x.render(r,i,this.glyph),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):this.hover_glyph.render(r,v,this.glyph))}else if(D=Date.now(),this.glyph instanceof n.LineView)this.hover_glyph&&v.length?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):w.render(r,this.all_indices,this.glyph);else if(this.glyph instanceof h.PatchView||this.glyph instanceof o.HAreaView||this.glyph instanceof a.VAreaView)if(0==u.selected_glyphs.length||null==this.hover_glyph)w.render(r,this.all_indices,this.glyph);else for(const e of u.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(r,this.all_indices,this.glyph);else w.render(r,l,this.glyph),this.hover_glyph&&v.length&&this.hover_glyph.render(r,v,this.glyph);const R=Date.now()-D;this.last_dtrender=R;const $=Date.now()-e;c.logger.debug(`${this.glyph.model.type} ${this.model}: render finished in ${$}ms`),c.logger.trace(` - map_data finished in       : ${i}ms`),c.logger.trace(` - mask_data finished in      : ${_}ms`),null!=V&&c.logger.trace(` - selection mask finished in : ${V}ms`),c.logger.trace(` - glyph renders finished in  : ${R}ms`),r.restore()}draw_legend(e,t,i,s,l,n,h,o){null==o&&(o=this.model.get_reference_point(n,h)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o)}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=w,w.__name__=\"GlyphRendererView\";class b extends l.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=w,this.define({data_source:[r.Instance],view:[r.Instance,()=>new _.CDSView],glyph:[r.Instance],hover_glyph:[r.Instance],nonselection_glyph:[r.Any,\"auto\"],selection_glyph:[r.Any,\"auto\"],muted_glyph:[r.Instance],muted:[r.Boolean,!1]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){let i=0;if(null!=e){const s=this.data_source.get_column(e);if(null!=s){const e=d.indexOf(s,t);-1!=e&&(i=e)}}return i}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=b,b.__name__=\"GlyphRenderer\",b.init_GlyphRenderer()},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),a=e(65),_=t.__importStar(e(18));class i extends a.RendererView{}n.DataRendererView=i,i.__name__=\"DataRendererView\";class d extends a.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.define({x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"glyph\"})}}n.DataRenderer=d,d.__name__=\"DataRenderer\",d.init_DataRenderer()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),_=e(92),l=s.__importStar(e(23)),o=s.__importStar(e(93)),r=e(79);class h extends n.XYGlyphView{_render(e,t,{sx:i,sy:s}){let n=!1,_=null;this.visuals.line.set_value(e);for(const l of t){if(n){if(!isFinite(i[l]+s[l])){e.stroke(),e.beginPath(),n=!1,_=l;continue}null!=_&&l-_>1&&(e.stroke(),n=!1)}n?e.lineTo(i[l],s[l]):(e.beginPath(),e.moveTo(i[l],s[l]),n=!0),_=l}n&&e.stroke()}_hit_point(e){const t=new r.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.visuals.line.line_width.value()/2);for(let e=0,_=this.sx.length-1;e<_;e++){const _={x:this.sx[e],y:this.sy[e]},l={x:this.sx[e+1],y:this.sy[e+1]},r=o.dist_to_segment(i,_,l);r<n&&r<s&&(s=r,t.add_to_selected_glyphs(this.model),t.get_view=()=>this,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=new r.Selection;let n,_;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),_=this._y):(n=this.renderer.xscale.invert(t),_=this._x);for(let e=0,t=_.length-1;e<t;e++)(_[e]<=n&&n<=_[e+1]||_[e+1]<=n&&n<=_[e])&&(s.add_to_selected_glyphs(this.model),s.get_view=()=>this,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return _.line_interpolation(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){_.generic_line_legend(this.visuals,e,t,i)}}i.LineView=h,h.__name__=\"LineView\";class a extends n.XYGlyph{constructor(e){super(e)}static init_Line(){this.prototype.default_view=h,this.mixins(l.Line)}}i.Line=a,a.__name__=\"Line\",a.init_Line()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(85),n=e(89);class _ extends n.GlyphView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y[t];!isNaN(s+i)&&isFinite(s+i)&&e.push({x0:s,y0:i,x1:s,y1:i,i:t})}return new i.SpatialIndex(e)}scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}}s.XYGlyphView=_,_.__name__=\"XYGlyphView\";class h extends n.Glyph{constructor(e){super(e)}static init_XYGlyph(){this.coords([[\"x\",\"y\"]])}}s.XYGlyph=h,h.__name__=\"XYGlyph\",h.init_XYGlyph()},\n      function _(n,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=n(1).__importDefault(n(86)),s=n(88);class r{constructor(n){if(this.points=n,this.index=null,n.length>0){this.index=new e.default(n.length);for(const t of n){const{x0:n,y0:i,x1:e,y1:s}=t;this.index.add(n,i,e,s)}this.index.finish()}}_normalize(n){let{x0:t,y0:i,x1:e,y1:s}=n;return t>e&&([t,e]=[e,t]),i>s&&([i,s]=[s,i]),{x0:t,y0:i,x1:e,y1:s}}get bbox(){if(null==this.index)return s.empty();{const{minX:n,minY:t,maxX:i,maxY:e}=this.index;return{x0:n,y0:t,x1:i,y1:e}}}search(n){if(null==this.index)return[];{const{x0:t,y0:i,x1:e,y1:s}=this._normalize(n);return this.index.search(t,i,e,s).map(n=>this.points[n])}}indices(n){return this.search(n).map(({i:n})=>n)}}i.SpatialIndex=r,r.__name__=\"SpatialIndex\"},\n      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1).__importDefault(t(87)),h=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class n{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[o]=new Uint32Array(t,4,1);return new n(o,e,h[15&i],t)}constructor(t,s=16,i=Float64Array,n){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let o=t,r=o;this._levelBounds=[4*o];do{o=Math.ceil(o/this.nodeSize),r+=o,this._levelBounds.push(4*r)}while(1!==o);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=h.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);n&&n instanceof ArrayBuffer?(this.data=n,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new e.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,t<this.minX&&(this.minX=t),s<this.minY&&(this.minY=s),i>this.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e<this.numItems;e++){let h=4*e;const n=this._boxes[h++],o=this._boxes[h++],r=this._boxes[h++],a=this._boxes[h++],d=Math.floor(65535*((n+r)/2-this.minX)/t),x=Math.floor(65535*((o+a)/2-this.minY)/s);i[e]=_(d,x)}!function t(s,i,e,h,n,o){if(Math.floor(h/o)>=Math.floor(n/o))return;const r=s[h+n>>1];let _=h-1,d=n+1;for(;;){do{_++}while(s[_]<r);do{d--}while(s[d]>r);if(_>=d)break;a(s,i,e,_,d)}t(s,i,e,h,d,o),t(s,i,e,d+1,n,o)}(i,this._boxes,this._indices,0,this.numItems-1,this.nodeSize);for(let t=0,s=0;t<this._levelBounds.length-1;t++){const i=this._levelBounds[t];for(;s<i;){const t=s;let e=1/0,h=1/0,n=-1/0,o=-1/0;for(let t=0;t<this.nodeSize&&s<i;t++)e=Math.min(e,this._boxes[s++]),h=Math.min(h,this._boxes[s++]),n=Math.max(n,this._boxes[s++]),o=Math.max(o,this._boxes[s++]);this._indices[this._pos>>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],a=[];for(;void 0!==n;){const _=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let r=n;r<_;r+=4){const _=0|this._indices[r>>2];i<this._boxes[r]||(e<this._boxes[r+1]||t>this._boxes[r+2]||s>this._boxes[r+3]||(n<4*this.numItems?(void 0===h||h(_))&&a.push(_):o.push(_)))}n=o.pop()}return a}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const a=this._queue,_=[],d=e*e;for(;void 0!==n;){const 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s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let h=0;for(;h<i;){let s=1+(h<<1);const i=s+1;let e=this.ids[s],l=this.values[s];const n=this.values[i];if(i<this.length&&n<l&&(s=i,e=this.ids[i],l=n),l>=t)break;this.ids[h]=e,this.values[h]=l,h=s}this.ids[h]=s,this.values[h]=t}return s}peek(){if(0!==this.length)return this.ids[0]}peekValue(){if(0!==this.length)return this.values[0]}}},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const{min:h,max:r}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:h(t.x0,i.x0),x1:r(t.x1,i.x1),y0:h(t.y0,i.y0),y1:r(t.y1,i.y1)}};class s{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get rect(){return{x0:this.x0,y0:this.y0,x1:this.x1,y1:this.y1}}get box(){return{x:this.x,y:this.y,width:this.width,height:this.height}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}contains(t,i){return t>=this.x0&&t<=this.x1&&i>=this.y0&&i<=this.y1}clip(t,i){return t<this.x0?t=this.x0:t>this.x1&&(t=this.x1),i<this.y0?i=this.y0:i>this.y1&&(i=this.y1),[t,i]}union(t){return new s({x0:h(this.x0,t.x0),y0:h(this.y0,t.y0),x1:r(this.x1,t.x1),y1:r(this.y1,t.y1)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new Float64Array(t.length),e=this.left;for(let h=0;h<t.length;h++)i[h]=e+t[h];return i}}}get yview(){return{compute:t=>this.bottom-t,v_compute:t=>{const i=new Float64Array(t.length),e=this.bottom;for(let h=0;h<t.length;h++)i[h]=e-t[h];return i}}}}e.BBox=s,s.__name__=\"BBox\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=i.__importStar(t(18)),r=i.__importStar(t(88)),a=i.__importStar(t(32)),_=i.__importStar(t(70)),l=t(67),o=t(71),h=t(72),c=t(12),d=t(17),p=t(8),y=t(83),u=t(90),g=t(79);class x extends l.View{constructor(){super(...arguments),this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}initialize(){super.initialize(),this.visuals=new _.Visuals(this.model)}async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e){let s=null;try{s=await Promise.resolve().then(()=>i.__importStar(t(371)))}catch(t){if(\"MODULE_NOT_FOUND\"!==t.code)throw t;h.logger.warn(\"WebGL was requested and is supported, but bokeh-gl(.min).js is not available, falling back to 2D rendering.\")}if(null!=s){const t=s[this.model.type+\"GLGlyph\"];null!=t&&(this.glglyph=new t(e.gl,this))}}}set_visuals(t,e){this.visuals.set_all_indices(e),this.visuals.warm_cache(t),null!=this.glglyph&&this.glglyph.set_visuals_changed()}render(t,e,s){t.beginPath(),null!=this.glglyph&&this.glglyph.render(t,e,s)||this._render(t,e,s)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(t){return t}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const t=r.empty(),e=this.index.search(r.positive_x());for(const s of e)s.x0<t.x0&&(t.x0=s.x0),s.x1>t.x1&&(t.x1=s.x1);const s=this.index.search(r.positive_y());for(const e of s)e.y0<t.y0&&(t.y0=e.y0),e.y1>t.y1&&(t.y1=e.y1);return this._bounds(t)}get_anchor_point(t,e,[s,i]){switch(t){case\"center\":return{x:this.scenterx(e,s,i),y:this.scentery(e,s,i)};default:return null}}sdist(t,e,s,i=\"edge\",n=!1){let r,a;const _=e.length;if(\"center\"==i){const t=c.map(s,t=>t/2);r=new Float64Array(_);for(let s=0;s<_;s++)r[s]=e[s]-t[s];a=new Float64Array(_);for(let s=0;s<_;s++)a[s]=e[s]+t[s]}else{r=e,a=new Float64Array(_);for(let t=0;t<_;t++)a[t]=r[t]+s[t]}const l=t.v_compute(r),o=t.v_compute(a);return n?c.map(l,(t,e)=>Math.ceil(Math.abs(o[e]-l[e]))):c.map(l,(t,e)=>Math.abs(o[e]-l[e]))}draw_legend_for_index(t,e,s){}hit_test(t){switch(t.type){case\"point\":if(null!=this._hit_point)return this._hit_point(t);break;case\"span\":if(null!=this._hit_span)return this._hit_span(t);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(t);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(t)}return this._nohit_warned.has(t.type)||(h.logger.debug(`'${t.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(t.type)),null}_hit_rect_against_index(t){const{sx0:e,sx1:s,sy0:i,sy1:n}=t,[r,a]=this.renderer.xscale.r_invert(e,s),[_,l]=this.renderer.yscale.r_invert(i,n),o=this.index.indices({x0:r,x1:a,y0:_,y1:l});return new g.Selection({indices:o})}set_data(t,e,s){let i=this.model.materialize_dataspecs(t);if(e&&!(this instanceof y.LineView)){const t={};for(const s in i){const n=i[s];\"_\"===s.charAt(0)?t[s]=e.map(t=>n[t]):t[s]=n}i=t}const n=this;if(d.extend(n,i),this.renderer.plot_view.model.use_map&&(null!=n._x&&([n._x,n._y]=a.project_xy(n._x,n._y)),null!=n._xs&&([n._xs,n._ys]=a.project_xsys(n._xs,n._ys)),null!=n._x0&&([n._x0,n._y0]=a.project_xy(n._x0,n._y0)),null!=n._x1&&([n._x1,n._y1]=a.project_xy(n._x1,n._y1))),null!=this.renderer.plot_view.frame.x_ranges){const t=this.renderer.plot_view.frame.x_ranges[this.model.x_range_name],e=this.renderer.plot_view.frame.y_ranges[this.model.y_range_name];for(let[s,i]of this.model._coords)s=\"_\"+s,i=\"_\"+i,null!=n._xs?(t instanceof u.FactorRange&&(n[s]=c.map(n[s],e=>t.v_synthetic(e))),e instanceof u.FactorRange&&(n[i]=c.map(n[i],t=>e.v_synthetic(t)))):(t instanceof u.FactorRange&&(n[s]=t.v_synthetic(n[s])),e instanceof u.FactorRange&&(n[i]=e.v_synthetic(n[i])))}null!=this.glglyph&&this.glglyph.set_data_changed(n._x.length),this._set_data(s),this.index_data()}_set_data(t){}index_data(){this.index=this._index_data()}mask_data(t){return null!=this.glglyph||null==this._mask_data?t:this._mask_data()}map_data(){const t=this;for(let[e,s]of this.model._coords){const i=\"s\"+e,n=\"s\"+s;if(e=\"_\"+e,s=\"_\"+s,null!=t[e]&&(p.isArray(t[e][0])||p.isTypedArray(t[e][0]))){const r=t[e].length;t[i]=new Array(r),t[n]=new Array(r);for(let a=0;a<r;a++){const[r,_]=this.map_to_screen(t[e][a],t[s][a]);t[i][a]=r,t[n][a]=_}}else[t[i],t[n]]=this.map_to_screen(t[e],t[s])}this._map_data()}_map_data(){}map_to_screen(t,e){return this.renderer.plot_view.map_to_screen(t,e,this.model.x_range_name,this.model.y_range_name)}}s.GlyphView=x,x.__name__=\"GlyphView\";class m extends o.Model{constructor(t){super(t)}static init_Glyph(){this.prototype._coords=[],this.internal({x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"]})}static coords(t){const e=this.prototype._coords.concat(t);this.prototype._coords=e;const s={};for(const[e,i]of t)s[e]=[n.CoordinateSpec],s[i]=[n.CoordinateSpec];this.define(s)}}s.Glyph=m,m.__name__=\"Glyph\",m.init_Glyph()},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=t(1),i=t(91),r=s.__importStar(t(18)),a=t(12),o=t(9),p=t(8),g=t(11);function c(t,e,n=0){const s=new Map;for(let i=0;i<t.length;i++){const r=t[i];if(s.has(r))throw new Error(\"duplicate factor or subfactor: \"+r);s.set(r,{value:.5+i*(1+e)+n})}return[s,(t.length-1)*e]}function l(t,e,n,s=0){var i;const r=new Map,a=new Map;for(const[e,n]of t){const t=null!==(i=a.get(e))&&void 0!==i?i:[];a.set(e,[...t,n])}let p=s,g=0;for(const[t,s]of a){const i=s.length,[a,l]=c(s,n,p);g+=l;const u=o.sum(s.map(t=>a.get(t).value));r.set(t,{value:u/i,mapping:a}),p+=i+e+l}return[r,(a.size-1)*e+g]}function u(t,e,n,s,i=0){var r;const a=new Map,p=new Map;for(const[e,n,s]of t){const t=null!==(r=p.get(e))&&void 0!==r?r:[];p.set(e,[...t,[n,s]])}let g=i,c=0;for(const[t,i]of p){const r=i.length,[p,u]=l(i,n,s,g);c+=u;const h=o.sum(i.map(([t])=>p.get(t).value));a.set(t,{value:h/r,mapping:p}),g+=r+e+u}return[a,(p.size-1)*e+c]}n.map_one_level=c,n.map_two_levels=l,n.map_three_levels=u;class h extends i.Range{constructor(t){super(t)}static init_FactorRange(){this.define({factors:[r.Array,[]],factor_padding:[r.Number,0],subgroup_padding:[r.Number,.8],group_padding:[r.Number,1.4],range_padding:[r.Number,0],range_padding_units:[r.PaddingUnits,\"percent\"],start:[r.Number],end:[r.Number]}),this.internal({levels:[r.Number],mids:[r.Array,null],tops:[r.Array,null]})}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,()=>this.reset()),this.connect(this.properties.factor_padding.change,()=>this.reset()),this.connect(this.properties.group_padding.change,()=>this.reset()),this.connect(this.properties.subgroup_padding.change,()=>this.reset()),this.connect(this.properties.range_padding.change,()=>this.reset()),this.connect(this.properties.range_padding_units.change,()=>this.reset())}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[e]=t,n=this._mapping.get(e);return null!=n?n.value:NaN}case 2:{const[e,n]=t,s=this._mapping.get(e);if(null!=s){const t=s.mapping.get(n);if(null!=t)return t.value}return NaN}case 3:{const[e,n,s]=t,i=this._mapping.get(e);if(null!=i){const t=i.mapping.get(n);if(null!=t){const e=t.mapping.get(s);if(null!=e)return e.value}}return NaN}default:g.unreachable()}}synthetic(t){if(p.isNumber(t))return t;if(p.isString(t))return this._lookup([t]);let e=0;const n=t[t.length-1];return p.isNumber(n)&&(e=n,t=t.slice(0,-1)),this._lookup(t)+e}v_synthetic(t){return a.map(t,t=>this.synthetic(t))}_init(t){const{levels:e,mapping:n,tops:s,mids:i,inside_padding:r}=(()=>{if(o.every(this.factors,p.isString)){const t=this.factors,[e,n]=c(t,this.factor_padding);return{levels:1,mapping:e,tops:null,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&2==t.length&&p.isString(t[0])&&p.isString(t[1]))){const t=this.factors,[e,n]=l(t,this.group_padding,this.factor_padding),s=[...e.keys()];return{levels:2,mapping:e,tops:s,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&3==t.length&&p.isString(t[0])&&p.isString(t[1])&&p.isString(t[2]))){const t=this.factors,[e,n]=u(t,this.group_padding,this.subgroup_padding,this.factor_padding),s=[...e.keys()],i=[];for(const[t,n]of e)for(const e of n.mapping.keys())i.push([t,e]);return{levels:3,mapping:e,tops:s,mids:i,inside_padding:n}}g.unreachable()})();this._mapping=n,this.tops=s,this.mids=i;let a=0,h=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(h-a)*this.range_padding/2;a-=t,h+=t}else a-=this.range_padding,h+=this.range_padding;this.setv({start:a,end:h,levels:e},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,h]},{silent:!0})}}n.FactorRange=h,h.__name__=\"FactorRange\",h.init_FactorRange()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(71),r=i.__importStar(e(18));class s extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define({bounds:[r.Any],min_interval:[r.Any],max_interval:[r.Any]}),this.internal({plots:[r.Array,[]]})}get is_reversed(){return this.start>this.end}}n.Range=s,s.__name__=\"Range\",s.init_Range()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1).__importStar(e(93));i.generic_line_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){t.save(),t.beginPath(),t.moveTo(i,(c+o)/2),t.lineTo(n,(c+o)/2),e.line.doit&&(e.line.set_vectorize(t,r),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){const l=.1*Math.abs(n-i),a=.1*Math.abs(o-c),s=i+l,_=n-l,h=c+a,v=o-a;e.fill.doit&&(e.fill.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(s,h,_-s,v-h),e.line.set_vectorize(t,r),t.stroke())},i.line_interpolation=function(e,t,i,c,o,r){const{sx:l,sy:a}=t;let s,_,h,v;\"point\"==t.type?([h,v]=e.yscale.r_invert(a-1,a+1),[s,_]=e.xscale.r_invert(l-1,l+1)):\"v\"==t.direction?([h,v]=e.yscale.r_invert(a,a),[s,_]=[Math.min(i-1,o-1),Math.max(i+1,o+1)]):([s,_]=e.xscale.r_invert(l,l),[h,v]=[Math.min(c-1,r-1),Math.max(c+1,r+1)]);const{x,y}=n.check_2_segments_intersect(s,h,_,v,i,c,o,r);return[x,y]}},\n      function _(t,n,e){function i(t){return t*t}function o(t,n){return i(t.x-n.x)+i(t.y-n.y)}function r(t,n,e){const i=o(n,e);if(0==i)return o(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;return o(t,r<0?n:r>1?e:{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}Object.defineProperty(e,\"__esModule\",{value:!0}),e.point_in_poly=function(t,n,e,i){let o=!1,r=e[e.length-1],s=i[i.length-1];for(let u=0;u<e.length;u++){const c=e[u],_=i[u];s<n!=_<n&&r+(n-s)/(_-s)*(c-r)<t&&(o=!o),r=c,s=_}return o},e.point_in_ellipse=function(t,n,e,i,o,r,s){return((Math.cos(e)/o)**2+(Math.sin(e)/i)**2)*(t-r)**2+2*Math.cos(e)*Math.sin(e)*((1/o)**2-(1/i)**2)*(t-r)*(n-s)+((Math.cos(e)/i)**2+(Math.sin(e)/o)**2)*(n-s)**2<=1},e.dist_2_pts=o,e.dist_to_segment_squared=r,e.dist_to_segment=function(t,n,e){return Math.sqrt(r(t,n,e))},e.check_2_segments_intersect=function(t,n,e,i,o,r,s,u){const c=(u-r)*(e-t)-(s-o)*(i-n);if(0==c)return{hit:!1,x:null,y:null};{let _=n-r,l=t-o;const y=(e-t)*_-(i-n)*l;return _=((s-o)*_-(u-r)*l)/c,l=y/c,{hit:_>0&&_<1&&l>0&&l<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),l=e(84),_=e(92),n=s.__importStar(e(93)),o=s.__importStar(e(23)),a=e(79);class h extends l.XYGlyphView{_inner_loop(e,i,t,s,l){for(const _ of i)0!=_?isNaN(t[_]+s[_])?(e.closePath(),l.apply(e),e.beginPath()):e.lineTo(t[_],s[_]):(e.beginPath(),e.moveTo(t[_],s[_]));e.closePath(),l.call(e)}_render(e,i,{sx:t,sy:s}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner_loop(e,i,t,s,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner_loop(e,i,t,s,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_value(e),this._inner_loop(e,i,t,s,e.stroke))}draw_legend_for_index(e,i,t){_.generic_area_legend(this.visuals,e,i,t)}_hit_point(e){const i=new a.Selection;return n.point_in_poly(e.sx,e.sy,this.sx,this.sy)&&(i.add_to_selected_glyphs(this.model),i.get_view=()=>this),i}}t.PatchView=h,h.__name__=\"PatchView\";class r extends l.XYGlyph{constructor(e){super(e)}static init_Patch(){this.prototype.default_view=h,this.mixins([o.Line,o.Fill,o.Hatch])}}t.Patch=r,r.__name__=\"Patch\",r.init_Patch()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x1.length;t<s;t++){const s=this._x1[t],i=this._x2[t],r=this._y[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:Math.min(s,i),y0:r,x1:Math.max(s,i),y1:r,i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let s=0,r=t.length;s<r;s++)e.lineTo(t[s],i[s]);for(let t=s.length-1;t>=0;t--)e.lineTo(s[t],i[t]);e.closePath(),r.call(e)}_render(e,t,{sx1:s,sx2:i,sy:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}_hit_point(e){const t=this.sy.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx1[e],i[e]=this.sy[e],s[t+e]=this.sx2[t-e-1],i[t+e]=this.sy[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}scenterx(e){return(this.sx1[e]+this.sx2[e])/2}scentery(e){return this.sy[e]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}s.HAreaView=l,l.__name__=\"HAreaView\";class o extends r.Area{constructor(e){super(e)}static init_HArea(){this.prototype.default_view=l,this.define({x1:[_.CoordinateSpec],x2:[_.CoordinateSpec],y:[_.CoordinateSpec]})}}s.HArea=o,o.__name__=\"HArea\",o.init_HArea()},\n      function _(e,_,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(1),r=e(89),t=e(92),n=a.__importStar(e(23));class s extends r.GlyphView{draw_legend_for_index(e,_,i){t.generic_area_legend(this.visuals,e,_,i)}}i.AreaView=s,s.__name__=\"AreaView\";class c extends r.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([n.Fill,n.HatchVector])}}i.Area=c,c.__name__=\"Area\",c.init_Area()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y1[t],r=this._y2[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:s,y0:Math.min(i,r),x1:s,y1:Math.max(i,r),i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let i=0,r=s.length;i<r;i++)e.lineTo(t[i],s[i]);for(let s=i.length-1;s>=0;s--)e.lineTo(t[s],i[s]);e.closePath(),r.call(e)}_render(e,t,{sx:s,sy1:i,sy2:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}scenterx(e){return this.sx[e]}scentery(e){return(this.sy1[e]+this.sy2[e])/2}_hit_point(e){const t=this.sx.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx[e],i[e]=this.sy1[e],s[t+e]=this.sx[t-e-1],i[t+e]=this.sy2[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}s.VAreaView=l,l.__name__=\"VAreaView\";class o extends r.Area{constructor(e){super(e)}static init_VArea(){this.prototype.default_view=l,this.define({x:[_.CoordinateSpec],y1:[_.CoordinateSpec],y2:[_.CoordinateSpec]})}}s.VArea=o,o.__name__=\"VArea\",o.init_VArea()},\n      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),c=t.__importStar(i(18)),o=i(79),r=i(9),_=i(77);class h extends n.Model{constructor(i){super(i)}static init_CDSView(){this.define({filters:[c.Array,[]],source:[c.Instance]}),this.internal({indices:[c.Array,[]],indices_map:[c.Any,{}]})}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,()=>{this.compute_indices(),this.change.emit()});const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,()=>{e||(i(),e=!0)})}compute_indices(){const i=this.filters.map(i=>i.compute_indices(this.source)).filter(i=>null!=i);i.length>0?this.indices=r.intersection.apply(this,i):this.source instanceof _.ColumnarDataSource&&(this.indices=this.source.get_indices()),this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;i<this.indices.length;i++)this.indices_map[this.indices[i]]=i}convert_selection_from_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_selection_to_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices_map[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_indices_from_subset(i){return i.map(i=>this.indices[i])}}s.CDSView=h,h.__name__=\"CDSView\",h.init_CDSView()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(9);async function i(e,n,t){const o=new e(Object.assign(Object.assign({},t),{model:n}));return o.initialize(),await o.lazy_initialize(),o}t.build_view=async function(e,n={parent:null},t=(e=>e.default_view)){const o=await i(t(e),e,n);return o.connect_signals(),o},t.build_views=async function(e,n,t={parent:null},s=(e=>e.default_view)){const c=o.difference([...e.keys()],n);for(const n of c)e.get(n).remove(),e.delete(n);const a=[],f=n.filter(n=>!e.has(n));for(const n of f){const o=await i(s(n),n,t);e.set(n,o),a.push(o)}for(const e of a)e.connect_signals();return a},t.remove_views=function(e){for(const[n,t]of e)t.remove(),e.delete(n)}},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),r=e(82),i=e(101),a=s.__importStar(e(18)),d=e(99);class _ extends r.DataRendererView{initialize(){super.initialize(),this.xscale=this.plot_view.frame.xscales.default,this.yscale=this.plot_view.frame.yscales.default,this._renderer_views=new Map}async lazy_initialize(){[this.node_view,this.edge_view]=await d.build_views(this._renderer_views,[this.model.node_renderer,this.model.edge_renderer],{parent:this.parent}),this.set_data()}remove(){d.remove_views(this._renderer_views),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,()=>this.set_data()),this.connect(this.model.node_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.change,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.change,()=>this.set_data());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const n=e[t];this.connect(n.change,()=>this.set_data())}for(const e in t){const n=t[e];this.connect(n.change,()=>this.set_data())}}set_data(e=!0){this.node_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.edge_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0});const t=this.node_view.glyph;[t._x,t._y]=this.model.layout_provider.get_node_coordinates(this.model.node_renderer.data_source);const n=this.edge_view.glyph;[n._xs,n._ys]=this.model.layout_provider.get_edge_coordinates(this.model.edge_renderer.data_source),t.index_data(),n.index_data(),e&&this.request_render()}render(){this.edge_view.render(),this.node_view.render()}}n.GraphRendererView=_,_.__name__=\"GraphRendererView\";class o extends r.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=_,this.define({layout_provider:[a.Instance],node_renderer:[a.Instance],edge_renderer:[a.Instance],selection_policy:[a.Instance,()=>new i.NodesOnly],inspection_policy:[a.Instance,()=>new i.NodesOnly]})}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=o,o.__name__=\"GraphRenderer\",o.init_GraphRenderer()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const d=e(71),s=e(12),o=e(9),_=e(79);class i extends d.Model{constructor(e){super(e)}_hit_test_nodes(e,t){if(!t.model.visible)return null;const n=t.node_view.glyph.hit_test(e);return null==n?null:t.node_view.model.view.convert_selection_from_subset(n)}_hit_test_edges(e,t){if(!t.model.visible)return null;const n=t.edge_view.glyph.hit_test(e);return null==n?null:t.edge_view.model.view.convert_selection_from_subset(n)}}n.GraphHitTestPolicy=i,i.__name__=\"GraphHitTestPolicy\";class r extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.model.get_selection_manager().get_or_create_inspector(n.node_view.model);return o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesOnly=r,r.__name__=\"NodesOnly\";class c extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}get_linked_edges(e,t,n){let d=[];\"selection\"==n?d=e.selected.indices.map(t=>e.data.index[t]):\"inspection\"==n&&(d=e.inspected.indices.map(t=>e.data.index[t]));const s=[];for(let e=0;e<t.data.start.length;e++)(o.contains(d,t.data.start[e])||o.contains(d,t.data.end[e]))&&s.push(e);const i=new _.Selection;for(const e of s)i.multiline_indices[e]=[0];return i.indices=s,i}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;s.update(e,n,d);const o=t.edge_renderer.data_source.selected,_=this.get_linked_edges(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model);o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model),i=this.get_linked_edges(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.edge_view.model.data_source.setv({inspected:_},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesAndLinkedEdges=c,c.__name__=\"NodesAndLinkedEdges\";class a extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_edges(e,t)}get_linked_nodes(e,t,n){let d=[];\"selection\"==n?d=t.selected.indices:\"inspection\"==n&&(d=t.inspected.indices);const i=[];for(const e of d)i.push(t.data.start[e]),i.push(t.data.end[e]);const r=o.uniq(i).map(t=>s.indexOf(e.data.index,t));return new _.Selection({indices:r})}do_selection(e,t,n,d){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,n,d);const o=t.node_renderer.data_source.selected,_=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model);o.update(e,d,s),n.edge_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model),i=this.get_linked_nodes(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.node_view.model.data_source.setv({inspected:_},{silent:!0}),n.edge_view.model.data_source.inspect.emit([n.edge_view,{geometry:t}]),!o.is_empty()}}n.EdgesAndLinkedNodes=a,a.__name__=\"EdgesAndLinkedNodes\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(71);class o extends s.Model{do_selection(e,t,n,s){return null!==e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=o,o.__name__=\"SelectionPolicy\";class r extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=r,r.__name__=\"IntersectRenderers\";class c extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=c,c.__name__=\"UnionRenderers\"},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.concat=function(t,...e){let n=t.length;for(const t of e)n+=t.length;const o=new t.constructor(n);o.set(t,0);let c=t.length;for(const t of e)o.set(t,c),c+=t.length;return o}},\n      function _(n,o,e){function t(...n){const o=new Set;for(const e of n)for(const n of e)o.add(n);return o}Object.defineProperty(e,\"__esModule\",{value:!0}),e.union=t,e.intersection=function(n,...o){const e=new Set;n:for(const t of n){for(const n of o)if(!n.has(t))continue n;e.add(t)}return e},e.difference=function(n,...o){const e=new Set(n);for(const n of t(...o))e.delete(n);return e}},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(13);class o{constructor(e){this.document=e}}s.DocumentEvent=o,o.__name__=\"DocumentEvent\";class r extends o{constructor(e,t,s){super(e),this.events=t,this.setter_id=s}}s.DocumentEventBatch=r,r.__name__=\"DocumentEventBatch\";class d extends o{}s.DocumentChangedEvent=d,d.__name__=\"DocumentChangedEvent\";class _ extends d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}json(e){const t=this.msg_data,s=n.HasProps._value_to_json(t),o=new Set;return n.HasProps._value_record_references(t,o,{recursive:!0}),{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=_,_.__name__=\"MessageSentEvent\";class i extends d{constructor(e,t,s,n,o,r,d){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=r,this.hint=d}json(e){if(\"id\"===this.attr)throw new Error(\"'id' field should never change, whatever code just set it is wrong\");if(null!=this.hint)return this.hint.json(e);const t=this.new_,s=n.HasProps._value_to_json(t),o=new Set;n.HasProps._value_record_references(t,o,{recursive:!0}),o.has(this.model)&&this.model!==t&&o.delete(this.model);for(const t of o)e.add(t);return{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=i,i.__name__=\"ModelChangedEvent\";class a extends d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}json(e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=a,a.__name__=\"ColumnsPatchedEvent\";class c extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}json(e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=c,c.__name__=\"ColumnsStreamedEvent\";class h extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}json(e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=h,h.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return n.HasProps._value_record_references(this.model,e,{recursive:!0}),{kind:\"RootAdded\",model:this.model.ref()}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class l extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=l,l.__name__=\"RootRemovedEvent\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(31),o=e(76),l=i.__importStar(e(23)),a=i.__importStar(e(18));class n extends _.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],_=\"height\"==t?i:s,o=\"height\"==t?s:i,l=\"height\"==t?e.yview:e.xview,a=\"height\"==t?e.xview:e.yview;let n,h,r;n=\"data\"==this.model.properties.lower.units?_.v_compute(this._lower):l.v_compute(this._lower),h=\"data\"==this.model.properties.upper.units?_.v_compute(this._upper):l.v_compute(this._upper),r=\"data\"==this.model.properties.base.units?o.v_compute(this._base):a.v_compute(this._base);const[c,p]=\"height\"==t?[1,0]:[0,1],u=[n,r],d=[h,r];this._lower_sx=u[c],this._lower_sy=u[p],this._upper_sx=d[c],this._upper_sy=d[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);for(let t=this._upper_sx.length-1;t>=0;t--)e.lineTo(this._upper_sx[t],this._upper_sy[t]);e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(e),e.fill()),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke()),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let t=0,s=this._upper_sx.length;t<s;t++)e.lineTo(this._upper_sx[t],this._upper_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke())}}s.BandView=n,n.__name__=\"BandView\";class h extends _.Annotation{constructor(e){super(e)}static init_Band(){this.prototype.default_view=n,this.mixins([l.Line,l.Fill]),this.define({lower:[a.DistanceSpec],upper:[a.DistanceSpec],base:[a.DistanceSpec],dimension:[a.Dimension,\"height\"],source:[a.Instance,()=>new o.ColumnDataSource],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}}s.Band=h,h.__name__=\"Band\",h.init_Band()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),n=t(31),o=t(14),l=s.__importStar(t(23)),a=s.__importStar(t(18)),r=t(88);e.EDGE_TOLERANCE=2.5;class h extends n.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this)),this.connect(this.model.data_update,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;if(null==this.model.left&&null==this.model.right&&null==this.model.top&&null==this.model.bottom)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],e=t.yscales[this.model.y_range_name],s=(t,i,e,s,n)=>{let o;return o=null!=t?this.model.screen?t:\"data\"==i?e.compute(t):s.compute(t):n,o};this.sleft=s(this.model.left,this.model.left_units,i,t.xview,t._left.value),this.sright=s(this.model.right,this.model.right_units,i,t.xview,t._right.value),this.stop=s(this.model.top,this.model.top_units,e,t.yview,t._top.value),this.sbottom=s(this.model.bottom,this.model.bottom_units,e,t.yview,t._bottom.value),this._paint_box(this.sleft,this.sright,this.sbottom,this.stop)}_paint_box(t,i,e,s){const{ctx:n}=this.layer;n.save(),n.beginPath(),n.rect(t,s,i-t,e-s),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill()),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),n.restore()}interactive_bbox(){const t=this.model.properties.line_width.value()+e.EDGE_TOLERANCE;return new r.BBox({x0:this.sleft-t,y0:this.stop-t,x1:this.sright+t,y1:this.sbottom+t})}interactive_hit(t,i){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,i)}cursor(t,i){return Math.abs(t-this.sleft)<3||Math.abs(t-this.sright)<3?this.model.ew_cursor:Math.abs(i-this.sbottom)<3||Math.abs(i-this.stop)<3?this.model.ns_cursor:t>this.sleft&&t<this.sright&&i>this.stop&&i<this.sbottom?this.model.in_cursor:null}}e.BoxAnnotationView=h,h.__name__=\"BoxAnnotationView\";class _ extends n.Annotation{constructor(t){super(t)}static init_BoxAnnotation(){this.prototype.default_view=h,this.mixins([l.Line,l.Fill]),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],top:[a.Number,null],top_units:[a.SpatialUnits,\"data\"],bottom:[a.Number,null],bottom_units:[a.SpatialUnits,\"data\"],left:[a.Number,null],left_units:[a.SpatialUnits,\"data\"],right:[a.Number,null],right_units:[a.SpatialUnits,\"data\"]}),this.internal({screen:[a.Boolean,!1],ew_cursor:[a.String,null],ns_cursor:[a.String,null],in_cursor:[a.String,null]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({left:t,right:i,top:e,bottom:s}){this.setv({left:t,right:i,top:e,bottom:s,screen:!0},{silent:!0}),this.data_update.emit()}}e.BoxAnnotation=_,_.__name__=\"BoxAnnotation\",_.init_BoxAnnotation()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),a=t(31),s=t(109),r=t(113),l=t(115),n=t(120),_=t(130),h=t(131),m=o.__importStar(t(23)),d=o.__importStar(t(18)),c=o.__importStar(t(132)),u=t(9),p=t(12),g=t(8),f=t(11);class b extends a.AnnotationView{initialize(){super.initialize(),this._set_canvas_image()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.visible.change,()=>this.plot_view.request_render()),this.connect(this.model.ticker.change,()=>this.plot_view.request_render()),this.connect(this.model.formatter.change,()=>this.plot_view.request_render()),null!=this.model.color_mapper&&this.connect(this.model.color_mapper.change,()=>{this._set_canvas_image(),this.plot_view.request_render()})}_get_size(){if(null==this.model.color_mapper)return{width:0,height:0};{const{width:t,height:e}=this.compute_legend_dimensions();return{width:t,height:e}}}_set_canvas_image(){if(null==this.model.color_mapper)return;let t,e,{palette:i}=this.model.color_mapper;switch(\"vertical\"==this.model.orientation&&(i=u.reversed(i)),this.model.orientation){case\"vertical\":[t,e]=[1,i.length];break;case\"horizontal\":[t,e]=[i.length,1]}const o=document.createElement(\"canvas\");o.width=t,o.height=e;const a=o.getContext(\"2d\"),s=a.getImageData(0,0,t,e),r=new l.LinearColorMapper({palette:i}).rgba_mapper.v_compute(u.range(0,i.length));s.data.set(r),a.putImageData(s,0,0),this.image=o}compute_legend_dimensions(){const t=this._computed_image_dimensions(),[e,i]=[t.height,t.width],o=this._get_label_extent(),a=this._title_extent(),s=this._tick_extent(),{padding:r}=this.model;let l,n;switch(this.model.orientation){case\"vertical\":l=e+a+2*r,n=i+s+o+2*r;break;case\"horizontal\":l=e+a+s+o+2*r,n=i+2*r}return{width:n,height:l}}compute_legend_location(){const t=this.compute_legend_dimensions(),[e,i]=[t.height,t.width],o=this.model.margin,a=null!=this.panel?this.panel:this.plot_view.frame,[s,r]=a.bbox.ranges,{location:l}=this.model;let n,_;if(g.isString(l))switch(l){case\"top_left\":n=s.start+o,_=r.start+o;break;case\"top_center\":n=(s.end+s.start)/2-i/2,_=r.start+o;break;case\"top_right\":n=s.end-o-i,_=r.start+o;break;case\"bottom_right\":n=s.end-o-i,_=r.end-o-e;break;case\"bottom_center\":n=(s.end+s.start)/2-i/2,_=r.end-o-e;break;case\"bottom_left\":n=s.start+o,_=r.end-o-e;break;case\"center_left\":n=s.start+o,_=(r.end+r.start)/2-e/2;break;case\"center\":n=(s.end+s.start)/2-i/2,_=(r.end+r.start)/2-e/2;break;case\"center_right\":n=s.end-o-i,_=(r.end+r.start)/2-e/2}else if(g.isArray(l)&&2==l.length){const[t,i]=l;n=a.xview.compute(t),_=a.yview.compute(i)-e}else f.unreachable();return{sx:n,sy:_}}render(){if(!this.model.visible||null==this.model.color_mapper)return;const{ctx:t}=this.layer;t.save();const{sx:e,sy:i}=this.compute_legend_location();t.translate(e,i),this._draw_bbox(t);const o=this._get_image_offset();if(t.translate(o.x,o.y),this._draw_image(t),null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high){const e=this.tick_info();this._draw_major_ticks(t,e),this._draw_minor_ticks(t,e),this._draw_major_labels(t,e)}this.model.title&&this._draw_title(t),t.restore()}_draw_bbox(t){const e=this.compute_legend_dimensions();t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(0,0,e.width,e.height)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_image(t){const e=this._computed_image_dimensions();t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this.image,0,0,e.width,e.height),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_major_ticks(t,e){if(!this.visuals.major_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.major,_=this.model.major_tick_in,h=this.model.major_tick_out;t.save(),t.translate(s,r),this.visuals.major_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_minor_ticks(t,e){if(!this.visuals.minor_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.minor,_=this.model.minor_tick_in,h=this.model.minor_tick_out;t.save(),t.translate(s,r),this.visuals.minor_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_major_labels(t,e){if(!this.visuals.major_label_text.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],l=this.model.label_standoff+this._tick_extent(),[n,_]=[l*i,l*o],[h,m]=e.coords.major,d=e.labels.major;this.visuals.major_label_text.set_value(t),t.save(),t.translate(s+n,r+_);for(let e=0,a=h.length;e<a;e++)t.fillText(d[e],Math.round(h[e]+i*this.model.label_standoff),Math.round(m[e]+o*this.model.label_standoff));t.restore()}_draw_title(t){this.visuals.title_text.doit&&(t.save(),this.visuals.title_text.set_value(t),t.fillText(this.model.title,0,-this.model.title_standoff),t.restore())}_get_label_extent(){const t=this.tick_info().labels.major;let e;if(null==this.model.color_mapper.low||null==this.model.color_mapper.high||u.is_empty(t))e=0;else{const{ctx:i}=this.layer;switch(i.save(),this.visuals.major_label_text.set_value(i),this.model.orientation){case\"vertical\":e=u.max(t.map(t=>i.measureText(t.toString()).width));break;case\"horizontal\":e=c.measure_font(this.visuals.major_label_text.font_value()).height}e+=this.model.label_standoff,i.restore()}return e}_get_image_offset(){return{x:this.model.padding,y:this.model.padding+this._title_extent()}}_normals(){return\"vertical\"==this.model.orientation?[1,0]:[0,1]}_title_extent(){const t=this.model.title_text_font+\" \"+this.model.title_text_font_size+\" \"+this.model.title_text_font_style;return this.model.title?c.measure_font(t).height+this.model.title_standoff:0}_tick_extent(){return null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high?u.max([this.model.major_tick_out,this.model.minor_tick_out]):0}_computed_image_dimensions(){const t=this.plot_view.frame._height.value,e=this.plot_view.frame._width.value,i=this._title_extent();let o,a;switch(this.model.orientation){case\"vertical\":\"auto\"==this.model.height?null!=this.panel?o=t-2*this.model.padding-i:(o=u.max([25*this.model.color_mapper.palette.length,.3*t]),o=u.min([o,.8*t-2*this.model.padding-i])):o=this.model.height,a=\"auto\"==this.model.width?25:this.model.width;break;case\"horizontal\":o=\"auto\"==this.model.height?25:this.model.height,\"auto\"==this.model.width?null!=this.panel?a=e-2*this.model.padding:(a=u.max([25*this.model.color_mapper.palette.length,.3*e]),a=u.min([a,.8*e-2*this.model.padding])):a=this.model.width}return{width:a,height:o}}_tick_coordinate_scale(t){const e={source_range:new h.Range1d({start:this.model.color_mapper.low,end:this.model.color_mapper.high}),target_range:new h.Range1d({start:0,end:t})};switch(this.model.color_mapper.type){case\"LinearColorMapper\":return new n.LinearScale(e);case\"LogColorMapper\":return new _.LogScale(e);default:f.unreachable()}}_format_major_labels(t,e){const i=this.model.formatter.doFormat(t,null);for(let t=0,o=e.length;t<o;t++)e[t]in this.model.major_label_overrides&&(i[t]=this.model.major_label_overrides[e[t]]);return i}tick_info(){const t=this._computed_image_dimensions();let e;switch(this.model.orientation){case\"vertical\":e=t.height;break;case\"horizontal\":e=t.width}const i=this._tick_coordinate_scale(e),[o,a]=this._normals(),[s,r]=[this.model.color_mapper.low,this.model.color_mapper.high],l=this.model.ticker.get_ticks(s,r,null,null,this.model.ticker.desired_num_ticks),n=l.major,_=l.minor,h=[[],[]],m=[[],[]];for(let t=0,e=n.length;t<e;t++)n[t]<s||n[t]>r||(h[o].push(n[t]),h[a].push(0));for(let t=0,e=_.length;t<e;t++)_[t]<s||_[t]>r||(m[o].push(_[t]),m[a].push(0));const d={major:this._format_major_labels(h[o],n)},c={major:[[],[]],minor:[[],[]]};return c.major[o]=i.v_compute(h[o]),c.minor[o]=i.v_compute(m[o]),c.major[a]=h[a],c.minor[a]=m[a],\"vertical\"==this.model.orientation&&(c.major[o]=p.map(c.major[o],t=>e-t),c.minor[o]=p.map(c.minor[o],t=>e-t)),{coords:c,labels:d}}}i.ColorBarView=b,b.__name__=\"ColorBarView\";class v extends a.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=b,this.mixins([[\"major_label_\",m.Text],[\"title_\",m.Text],[\"major_tick_\",m.Line],[\"minor_tick_\",m.Line],[\"border_\",m.Line],[\"bar_\",m.Line],[\"background_\",m.Fill]]),this.define({location:[d.Any,\"top_right\"],orientation:[d.Orientation,\"vertical\"],title:[d.String],title_standoff:[d.Number,2],width:[d.Any,\"auto\"],height:[d.Any,\"auto\"],scale_alpha:[d.Number,1],ticker:[d.Instance,()=>new s.BasicTicker],formatter:[d.Instance,()=>new r.BasicTickFormatter],major_label_overrides:[d.Any,{}],color_mapper:[d.Instance],label_standoff:[d.Number,5],margin:[d.Number,30],padding:[d.Number,10],major_tick_in:[d.Number,5],major_tick_out:[d.Number,0],minor_tick_in:[d.Number,0],minor_tick_out:[d.Number,0]}),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_align:\"center\",major_label_text_baseline:\"middle\",major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}}i.ColorBar=v,v.__name__=\"ColorBar\",v.init_ColorBar()},\n      function _(e,c,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(110);class r extends i.AdaptiveTicker{constructor(e){super(e)}}s.BasicTicker=r,r.__name__=\"BasicTicker\"},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(111),n=t(9),r=a.__importStar(t(18));class _ extends s.ContinuousTicker{constructor(t){super(t)}static init_AdaptiveTicker(){this.define({base:[r.Number,10],mantissas:[r.Array,[1,2,5]],min_interval:[r.Number,0],max_interval:[r.Number]})}initialize(){super.initialize();const t=n.nth(this.mantissas,-1)/this.base,i=n.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,e){const a=i-t,s=this.get_ideal_interval(t,i,e),r=Math.floor(function(t,i=Math.E){return Math.log(t)/Math.log(i)}(s/this.base_factor,this.base)),_=this.base**r*this.base_factor,h=this.extended_mantissas,m=h.map(t=>Math.abs(e-a/(t*_))),o=h[n.argmin(m)];return c=o*_,l=this.get_min_interval(),u=this.get_max_interval(),Math.max(l,Math.min(u,c));var c,l,u}}e.AdaptiveTicker=_,_.__name__=\"AdaptiveTicker\",_.init_AdaptiveTicker()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),r=t(112),s=n.__importStar(t(18)),o=t(9);class _ extends r.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define({num_minor_ticks:[s.Number,5],desired_num_ticks:[s.Number,6]})}get_ticks(t,i,e,n,r){return this.get_ticks_no_defaults(t,i,n,this.desired_num_ticks)}get_ticks_no_defaults(t,i,e,n){const r=this.get_interval(t,i,n),s=Math.floor(t/r),_=Math.ceil(i/r);let c;c=isNaN(s)||isNaN(_)?[]:o.range(s,_+1);const u=c.map(t=>t*r).filter(e=>t<=e&&e<=i),a=this.num_minor_ticks,l=[];if(a>0&&u.length>0){const e=r/a,n=o.range(0,a).map(t=>t*e);for(const e of n.slice(1)){const n=u[0]-e;t<=n&&n<=i&&l.push(n)}for(const e of u)for(const r of n){const n=e+r;t<=n&&n<=i&&l.push(n)}}return{major:u,minor:l}}get_min_interval(){return this.min_interval}get_max_interval(){return null!=this.max_interval?this.max_interval:1/0}get_ideal_interval(t,i,e){return(i-t)/e}}e.ContinuousTicker=_,_.__name__=\"ContinuousTicker\",_.init_ContinuousTicker()},\n      function _(e,c,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(71);class r extends o.Model{constructor(e){super(e)}}n.Ticker=r,r.__name__=\"Ticker\"},\n      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),s=i(114),n=r.__importStar(i(18));class o extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define({precision:[n.Any,\"auto\"],use_scientific:[n.Boolean,!0],power_limit_high:[n.Number,5],power_limit_low:[n.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,r=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const s of i){const i=Math.abs(s);if(!(i<=r)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){const r=new Array(i.length);if(t)for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toExponential(e);else for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toFixed(e).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");return r}_auto_precision(i,t){const e=new Array(i.length),r=this.last_precision<=15;i:for(let s=this.last_precision;r?s<=15:s>=1;r?s++:s--){if(t){e[0]=i[0].toExponential(s);for(let t=1;t<i.length;t++)if(e[t]==e[t-1])continue i;this.last_precision=s;break}e[0]=i[0].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");for(let t=1;t<i.length;t++)if(e[t]=i[t].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"),e[t]==e[t-1])continue i;this.last_precision=s;break}return this.last_precision}doFormat(i,t){if(0==i.length)return[];const e=this._need_sci(i),r=\"auto\"==this.precision?this._auto_precision(i,e):this.precision;return this._format_with_precision(i,e,r)}}e.BasicTickFormatter=o,o.__name__=\"BasicTickFormatter\",o.init_BasicTickFormatter()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class c extends r.Model{constructor(e){super(e)}}o.TickFormatter=c,c.__name__=\"TickFormatter\"},\n      function _(o,n,l){Object.defineProperty(l,\"__esModule\",{value:!0});const e=o(116),t=o(12);class i extends e.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,n,l,e){const{nan_color:i,low_color:r,high_color:s}=e,c=null!=this.low?this.low:t.min(o),h=null!=this.high?this.high:t.max(o),u=l.length-1,a=1/(h-c),_=1/l.length;for(let e=0,t=o.length;e<t;e++){const t=o[e];if(isNaN(t)){n[e]=i;continue}if(t==h){n[e]=l[u];continue}const p=(t-c)*a,f=Math.floor(p/_);n[e]=f<0?null!=r?r:l[0]:f>u?null!=s?s:l[u]:l[f]}}}l.LinearColorMapper=i,i.__name__=\"LinearColorMapper\"},\n      function _(o,r,l){Object.defineProperty(l,\"__esModule\",{value:!0});const i=o(1),t=o(117),e=i.__importStar(o(18));class s extends t.ColorMapper{constructor(o){super(o)}static init_ContinuousColorMapper(){this.define({high:[e.Number],low:[e.Number],high_color:[e.Color],low_color:[e.Color]})}_colors(o){return Object.assign(Object.assign({},super._colors(o)),{low_color:null!=this.low_color?o(this.low_color):void 0,high_color:null!=this.high_color?o(this.high_color):void 0})}}l.ContinuousColorMapper=s,s.__name__=\"ContinuousColorMapper\",s.init_ContinuousColorMapper()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(118),_=n.__importStar(t(18)),i=t(8),l=t(20),c=t(28);function a(t){return i.isNumber(t)?t:(\"#\"!=t[0]&&(t=l.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function s(t){const e=new Uint32Array(t.length);for(let r=0,n=t.length;r<n;r++)e[r]=a(t[r]);return e}function p(t){if(c.is_little_endian){const e=new DataView(t.buffer);for(let r=0,n=t.length;r<n;r++)e.setUint32(4*r,t[r])}return new Uint8Array(t.buffer)}r._convert_color=a,r._convert_palette=s,r._uint32_to_rgba=p;class u extends o.Mapper{constructor(t){super(t)}static init_ColorMapper(){this.define({palette:[_.Any],nan_color:[_.Color,\"gray\"]})}v_compute(t){const e=new Array(t.length);return this._v_compute(t,e,this.palette,this._colors(t=>t)),e}get rgba_mapper(){const t=this,e=s(this.palette),r=this._colors(a);return{v_compute(n){const o=new Uint32Array(n.length);return t._v_compute(n,o,e,r),p(o)}}}_colors(t){return{nan_color:t(this.nan_color)}}}r.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(119);class s extends o.Transform{constructor(e){super(e)}compute(e){throw new Error(\"mapping single values is not supported\")}}n.Mapper=s,s.__name__=\"Mapper\"},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class s extends r.Model{constructor(e){super(e)}}o.Transform=s,s.__name__=\"Transform\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(121);class _ extends r.ContinuousScale{constructor(e){super(e)}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const c=e(122);class s extends c.Scale{constructor(e){super(e)}}o.ContinuousScale=s,s.__name__=\"ContinuousScale\"},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),_=t(123),s=n.__importStar(t(18));class i extends _.Transform{constructor(t){super(t)}static init_Scale(){this.internal({source_range:[s.Any],target_range:[s.Any]})}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=e*t[_]+r;return n}_linear_invert(t){const[e,r]=this._linear_compute_state();return(t-r)/e}_linear_v_invert(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=(t[_]-r)/e;return n}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,r=this.target_range.start,n=(this.target_range.end-r)/(e-t);return[n,-n*t+r]}}r.Scale=i,i.__name__=\"Scale\",i.init_Scale()},\n      function _(r,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=r(124);t.CustomJSTransform=e.CustomJSTransform;var a=r(125);t.Dodge=a.Dodge;var n=r(126);t.Interpolator=n.Interpolator;var p=r(127);t.Jitter=p.Jitter;var l=r(128);t.LinearInterpolator=l.LinearInterpolator;var v=r(129);t.StepInterpolator=v.StepInterpolator;var s=r(119);t.Transform=s.Transform},\n      function _(t,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),e=t(119),a=n.__importStar(t(18)),o=t(17),u=t(24);class i extends e.Transform{constructor(t){super(t)}static init_CustomJSTransform(){this.define({args:[a.Any,{}],func:[a.String,\"\"],v_func:[a.String,\"\"]})}get names(){return o.keys(this.args)}get values(){return o.values(this.args)}_make_transform(t,r){return new Function(...this.names,t,u.use_strict(r))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(t){return this.scalar_transform(...this.values,t)}v_compute(t){return this.vector_transform(...this.values,t)}}s.CustomJSTransform=i,i.__name__=\"CustomJSTransform\",i.init_CustomJSTransform()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(1),o=e(119),i=e(90),s=n.__importStar(e(18)),a=e(8);class c extends o.Transform{constructor(e){super(e)}static init_Dodge(){this.define({value:[s.Number,0],range:[s.Instance]})}v_compute(e){let t;if(this.range instanceof i.FactorRange)t=this.range.v_synthetic(e);else{if(!a.isArrayableOf(e,a.isNumber))throw new Error(\"unexpected\");t=e}const r=new Float64Array(t.length);for(let e=0;e<t.length;e++){const n=t[e];r[e]=this._compute(n)}return r}compute(e){if(this.range instanceof i.FactorRange)return this._compute(this.range.synthetic(e));if(a.isNumber(e))return this._compute(e);throw new Error(\"unexpected\")}_compute(e){return e+this.value}}r.Dodge=c,c.__name__=\"Dodge\",c.init_Dodge()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(119),n=s.__importStar(t(18)),i=t(9),a=t(8);class h extends o.Transform{constructor(t){super(t),this._sorted_dirty=!0}static init_Interpolator(){this.define({x:[n.Any],y:[n.Any],data:[n.Any],clip:[n.Boolean,!0]})}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._sorted_dirty=!0)}v_compute(t){const e=new Float64Array(t.length);for(let r=0;r<t.length;r++){const s=t[r];e[r]=this.compute(s)}return e}sort(t=!1){if(!this._sorted_dirty)return;let e,r;if(a.isString(this.x)&&a.isString(this.y)&&null!=this.data){const t=this.data.columns();if(!i.includes(t,this.x))throw new Error(\"The x parameter does not correspond to a valid column name defined in the data parameter\");if(!i.includes(t,this.y))throw new Error(\"The y parameter does not correspond to a valid column name defined in the data parameter\");e=this.data.get_column(this.x),r=this.data.get_column(this.y)}else{if(!a.isArray(this.x)||!a.isArray(this.y))throw new Error(\"parameters 'x' and 'y' must be both either string fields or arrays\");e=this.x,r=this.y}if(e.length!==r.length)throw new Error(\"The length for x and y do not match\");if(e.length<2)throw new Error(\"x and y must have at least two elements to support interpolation\");const s=[];for(const t in e)s.push({x:e[t],y:r[t]});t?s.sort((t,e)=>t.x>e.x?-1:t.x==e.x?0:1):s.sort((t,e)=>t.x<e.x?-1:t.x==e.x?0:1),this._x_sorted=[],this._y_sorted=[];for(const{x:t,y:e}of s)this._x_sorted.push(t),this._y_sorted.push(e);this._sorted_dirty=!1}}r.Interpolator=h,h.__name__=\"Interpolator\",h.init_Interpolator()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),n=t(119),s=t(90),o=t(8),u=i.__importStar(t(18)),a=i.__importStar(t(10));class h extends n.Transform{constructor(t){super(t)}static init_Jitter(){this.define({mean:[u.Number,0],width:[u.Number,1],distribution:[u.Distribution,\"uniform\"],range:[u.Instance]}),this.internal({previous_values:[u.Array]})}v_compute(t){if(null!=this.previous_values&&this.previous_values.length==t.length)return this.previous_values;let e;if(this.range instanceof s.FactorRange)e=this.range.v_synthetic(t);else{if(!o.isArrayableOf(t,o.isNumber))throw new Error(\"unexpected\");e=t}const r=new Float64Array(e.length);for(let t=0;t<e.length;t++){const i=e[t];r[t]=this._compute(i)}return this.previous_values=r,r}compute(t){if(this.range instanceof s.FactorRange)return this._compute(this.range.synthetic(t));if(o.isNumber(t))return this._compute(t);throw new Error(\"unexpected\")}_compute(t){switch(this.distribution){case\"uniform\":return t+this.mean+(a.random()-.5)*this.width;case\"normal\":return t+a.rnorm(this.mean,this.width)}}}r.Jitter=h,h.__name__=\"Jitter\",h.init_Jitter()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const _=t(9),r=t(126);class o extends r.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=_.find_last_index(this._x_sorted,s=>s<t),e=this._x_sorted[s],r=this._x_sorted[s+1],o=this._y_sorted[s],i=this._y_sorted[s+1];return o+(t-e)/(r-e)*(i-o)}}e.LinearInterpolator=o,o.__name__=\"LinearInterpolator\"},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(126),_=s.__importStar(t(18)),i=t(9);class n extends o.Interpolator{constructor(t){super(t)}static init_StepInterpolator(){this.define({mode:[_.StepMode,\"after\"]})}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=i.find_last_index(this._x_sorted,e=>t>=e);break;case\"before\":e=i.find_index(this._x_sorted,e=>t<=e);break;case\"center\":{const r=this._x_sorted.map(e=>Math.abs(e-t)),s=i.min(r);e=i.find_index(r,t=>s===t);break}default:throw new Error(\"unknown mode: \"+this.mode)}return-1!=e?this._y_sorted[e]:NaN}}r.StepInterpolator=n,n.__name__=\"StepInterpolator\",n.init_StepInterpolator()},\n      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(121);class s extends a.ContinuousScale{constructor(t){super(t)}compute(t){const[e,o,a,s]=this._compute_state();let n;if(0==a)n=0;else{const r=(Math.log(t)-s)/a;n=isFinite(r)?r*e+o:NaN}return n}v_compute(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);if(0==a)for(let e=0;e<t.length;e++)n[e]=0;else for(let r=0;r<t.length;r++){const l=(Math.log(t[r])-s)/a;let c;c=isFinite(l)?l*e+o:NaN,n[r]=c}return n}invert(t){const[e,o,a,s]=this._compute_state(),n=(t-o)/e;return Math.exp(a*n+s)}v_invert(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);for(let r=0;r<t.length;r++){const l=(t[r]-o)/e;n[r]=Math.exp(a*l+s)}return n}_get_safe_factor(t,e){let o=t<0?0:t,a=e<0?0:e;if(o==a)if(0==o)[o,a]=[1,10];else{const t=Math.log(o)/Math.log(10);o=10**Math.floor(t),a=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[o,a]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,o=this.target_range.start,a=this.target_range.end-o,[s,n]=this._get_safe_factor(t,e);let r,l;return 0==s?(r=Math.log(n),l=0):(r=Math.log(n)-Math.log(s),l=Math.log(s)),[a,o,r,l]}}o.LogScale=s,s.__name__=\"LogScale\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(91),r=i.__importStar(t(18));class a extends n.Range{constructor(t){super(t)}static init_Range1d(){this.define({start:[r.Number,0],end:[r.Number,1],reset_start:[r.Number],reset_end:[r.Number]})}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this.reset_start,this.reset_end),e=Math.max(this.reset_start,this.reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),null==this.reset_start&&(this.reset_start=this.start),null==this.reset_end&&(this.reset_end=this.end),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds(),this.start!=this.reset_start||this.end!=this.reset_end?this.setv({start:this.reset_start,end:this.reset_end}):this.change.emit()}}s.Range1d=a,a.__name__=\"Range1d\",a.init_Range1d()},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=t(68),i=new Map;n.measure_font=function(t){const e=i.get(t);if(null!=e)return e;const n=o.span({style:{font:t}},\"Hg\"),l=o.div({style:{display:\"inline-block\",width:\"1px\",height:\"0px\"}}),s=o.div({},n,l);document.body.appendChild(s);try{l.style.verticalAlign=\"baseline\";const e=o.offset(l).top-o.offset(n).top;l.style.verticalAlign=\"bottom\";const d=o.offset(l).top-o.offset(n).top,c={height:d,ascent:e,descent:d-e};return i.set(t,c),c}finally{document.body.removeChild(s)}};const l=new Map;n.measure_text=function(t,e){let n=l.get(e);if(null!=n){const e=n.get(t);if(null!=e)return e}else n=new Map,l.set(e,n);const i=o.div({style:{display:\"inline-block\",\"white-space\":\"nowrap\",font:e}},t);document.body.appendChild(i);try{const{width:e,height:o}=i.getBoundingClientRect();return n.set(t,{width:e,height:o}),{width:e,height:o}}finally{document.body.removeChild(i)}}},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(134),l=e(68),n=s.__importStar(e(23)),o=s.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.warm_cache()}_get_size(){const{ctx:e}=this.layer;this.visuals.text.set_value(e);const{width:t,ascent:i}=e.measureText(this.model.text);return{width:t,height:i}}render(){if(this.model.visible||\"css\"!=this.model.render_mode||l.undisplay(this.el),!this.model.visible)return;let e;switch(this.model.angle_units){case\"rad\":e=-this.model.angle;break;case\"deg\":e=-this.model.angle*Math.PI/180}const t=null!=this.panel?this.panel:this.plot_view.frame,i=this.plot_view.frame.xscales[this.model.x_range_name],s=this.plot_view.frame.yscales[this.model.y_range_name];let a=\"data\"==this.model.x_units?i.compute(this.model.x):t.xview.compute(this.model.x),n=\"data\"==this.model.y_units?s.compute(this.model.y):t.yview.compute(this.model.y);a+=this.model.x_offset,n-=this.model.y_offset,(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,a,n,e)}}i.LabelView=_,_.__name__=\"LabelView\";class r extends a.TextAnnotation{constructor(e){super(e)}static init_Label(){this.prototype.default_view=_,this.mixins([n.Text,[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({x:[o.Number],x_units:[o.SpatialUnits,\"data\"],y:[o.Number],y_units:[o.SpatialUnits,\"data\"],text:[o.String],angle:[o.Angle,0],angle_units:[o.AngleUnits,\"rad\"],x_offset:[o.Number,0],y_offset:[o.Number,0],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}i.Label=r,r.__name__=\"Label\",r.init_Label()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=e(31),a=e(68),n=i.__importStar(e(18)),o=e(132),r=e(11);class _ extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&this.plot_view.canvas_view.add_overlay(this.el)}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,()=>this.render()):this.connect(this.model.change,()=>this.plot_view.request_render())}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=o.measure_font(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let l,a;switch(e.textAlign){case\"left\":l=0;break;case\"center\":l=-s/2;break;case\"right\":l=-s;break;default:r.unreachable()}switch(e.textBaseline){case\"top\":a=0;break;case\"middle\":a=-.5*i;break;case\"bottom\":a=-1*i;break;case\"alphabetic\":a=-.8*i;break;case\"hanging\":a=-.17*i;break;case\"ideographic\":a=-.83*i;break;default:r.unreachable()}return[l,a,s,i]}_canvas_text(e,t,s,i,l){this.visuals.text.set_value(e);const a=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),l&&e.rotate(l),e.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,l){a.undisplay(this.el),this.visuals.text.set_value(e);const n=this._calculate_bounding_box_dimensions(e,t),o=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_value(e),this.visuals.background_fill.set_value(e),this.el.style.position=\"absolute\",this.el.style.left=s+n[0]+\"px\",this.el.style.top=i+n[1]+\"px\",this.el.style.color=\"\"+this.visuals.text.text_color.value(),this.el.style.opacity=\"\"+this.visuals.text.text_alpha.value(),this.el.style.font=\"\"+this.visuals.text.font_value(),this.el.style.lineHeight=\"normal\",l&&(this.el.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(this.el.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(this.el.style.borderStyle=\"\"+o,this.el.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",this.el.style.borderColor=\"\"+this.visuals.border_line.color_value()),this.el.textContent=t,a.display(this.el)}}s.TextAnnotationView=_,_.__name__=\"TextAnnotationView\";class h extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define({render_mode:[n.RenderMode,\"canvas\"]})}}s.TextAnnotation=h,h.__name__=\"TextAnnotation\",h.init_TextAnnotation()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(134),o=t(76),a=i.__importStar(t(23)),n=t(68),r=i.__importStar(t(18));class _ extends l.TextAnnotationView{initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this._text.length;t<e;t++){const t=n.div({style:{display:\"none\"}});this.el.appendChild(t)}}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.render()})):(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}))}set_data(t){super.set_data(t),this.visuals.warm_cache(t)}_map_data(){const t=this.plot_view.frame.xscales[this.model.x_range_name],e=this.plot_view.frame.yscales[this.model.y_range_name],s=null!=this.panel?this.panel:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.yview.v_compute(this._y)]}render(){if(this.model.visible||\"css\"!=this.model.render_mode||n.undisplay(this.el),!this.model.visible)return;const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer,[s,i]=this._map_data();for(let l=0,o=this._text.length;l<o;l++)t(e,l,this._text[l],s[l]+this._x_offset[l],i[l]-this._y_offset[l],this._angle[l])}_get_size(){const{ctx:t}=this.layer;this.visuals.text.set_value(t);const{width:e,ascent:s}=t.measureText(this._text[0]);return{width:e,height:s}}_v_canvas_text(t,e,s,i,l,o){this.visuals.text.set_vectorize(t,e);const a=this._calculate_bounding_box_dimensions(t,s);t.save(),t.beginPath(),t.translate(i,l),t.rotate(o),t.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),t.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),t.stroke()),this.visuals.text.doit&&(this.visuals.text.set_vectorize(t,e),t.fillText(s,0,0)),t.restore()}_v_css_text(t,e,s,i,l,o){const a=this.el.children[e];a.textContent=s,this.visuals.text.set_vectorize(t,e);const r=this._calculate_bounding_box_dimensions(t,s),_=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_vectorize(t,e),this.visuals.background_fill.set_vectorize(t,e),a.style.position=\"absolute\",a.style.left=i+r[0]+\"px\",a.style.top=l+r[1]+\"px\",a.style.color=\"\"+this.visuals.text.text_color.value(),a.style.opacity=\"\"+this.visuals.text.text_alpha.value(),a.style.font=\"\"+this.visuals.text.font_value(),a.style.lineHeight=\"normal\",o&&(a.style.transform=`rotate(${o}rad)`),this.visuals.background_fill.doit&&(a.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(a.style.borderStyle=\"\"+_,a.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",a.style.borderColor=\"\"+this.visuals.border_line.color_value()),n.display(a)}}s.LabelSetView=_,_.__name__=\"LabelSetView\";class h extends l.TextAnnotation{constructor(t){super(t)}static init_LabelSet(){this.prototype.default_view=_,this.mixins([a.TextVector,[\"border_\",a.LineVector],[\"background_\",a.FillVector]]),this.define({x:[r.NumberSpec],y:[r.NumberSpec],x_units:[r.SpatialUnits,\"data\"],y_units:[r.SpatialUnits,\"data\"],text:[r.StringSpec,{field:\"text\"}],angle:[r.AngleSpec,0],x_offset:[r.NumberSpec,{value:0}],y_offset:[r.NumberSpec,{value:0}],source:[r.Instance,()=>new o.ColumnDataSource],x_range_name:[r.String,\"default\"],y_range_name:[r.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=h,h.__name__=\"LabelSet\",h.init_LabelSet()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(31),n=s.__importStar(t(23)),h=s.__importStar(t(18)),a=t(14),o=t(132),_=t(88),r=t(9),d=t(8),c=t(11);class g extends l.AnnotationView{cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.visuals.border_line.line_color.value()?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.item_change,()=>this.plot_view.request_render())}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:s,label_width:l}=this.model;this.max_label_height=r.max([o.measure_font(this.visuals.label_text.font_value()).height,s,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,r.max([n.measureText(e).width,l]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?o.measure_font(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const h=Math.max(r.max([...this.text_widths.values()]),0),a=this.model.margin,{legend_padding:g}=this,m=this.model.spacing,{label_standoff:b}=this.model;let u,f;if(\"vertical\"==this.model.orientation)u=t.length*this.max_label_height+Math.max(t.length-1,0)*m+2*g+this.title_height,f=r.max([h+i+b+2*g,this.title_width+2*g]);else{let e=2*g+Math.max(t.length-1,0)*m;for(const[,t]of this.text_widths)e+=r.max([t,l])+i+b;f=r.max([this.title_width+2*g,e]),u=this.max_label_height+this.title_height+2*g}const x=null!=this.panel?this.panel:this.plot_view.frame,[p,v]=x.bbox.ranges,{location:w}=this.model;let y,k;if(d.isString(w))switch(w){case\"top_left\":y=p.start+a,k=v.start+a;break;case\"top_center\":y=(p.end+p.start)/2-f/2,k=v.start+a;break;case\"top_right\":y=p.end-a-f,k=v.start+a;break;case\"bottom_right\":y=p.end-a-f,k=v.end-a-u;break;case\"bottom_center\":y=(p.end+p.start)/2-f/2,k=v.end-a-u;break;case\"bottom_left\":y=p.start+a,k=v.end-a-u;break;case\"center_left\":y=p.start+a,k=(v.end+v.start)/2-u/2;break;case\"center\":y=(p.end+p.start)/2-f/2,k=(v.end+v.start)/2-u/2;break;case\"center_right\":y=p.end-a-f,k=(v.end+v.start)/2-u/2}else if(d.isArray(w)&&2==w.length){const[t,e]=w;y=x.xview.compute(t),k=x.yview.compute(e)-u}else c.unreachable();return new _.BBox({left:y,top:k,width:f,height:u})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=i=l;const o=this.compute_legend_bbox(),r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop();for(const g of c){const c=o.x+a,m=o.y+i+this.title_height;let b,u;if([b,u]=r?[o.width-2*l,this.max_label_height]:[this.text_widths.get(g)+s+h,this.max_label_height],new _.BBox({left:c,top:m,width:b,height:u}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of d.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of d.renderers)t.muted=!t.muted}return!0}r?i+=this.max_label_height+n:a+=this.text_widths.get(g)+s+h+n}}return!1}render(){if(!this.model.visible)return;if(0==this.model.items.length)return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this.model.title&&this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=l,o=l;const _=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop(),g=d.get_field_from_label_prop();if(0==c.length)continue;const m=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return r.every(d.renderers,t=>t.visible);case\"mute\":return r.every(d.renderers,t=>!t.muted)}})();for(const r of c){const c=e.x+a,b=e.y+o+this.title_height,u=c+i,f=b+s;_?o+=this.max_label_height+n:a+=this.text_widths.get(r)+i+h+n,this.visuals.label_text.set_value(t),t.fillText(r,u+h,b+this.max_label_height/2);for(const e of d.renderers){this.plot_view.renderer_views.get(e).draw_legend(t,c,u,b,f,g,r,d.index)}if(!m){let s,n;[s,n]=_?[e.width-2*l,this.max_label_height]:[this.text_widths.get(r)+i+h,this.max_label_height],t.beginPath(),t.rect(c,b,s,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(this.model.title,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=g,g.__name__=\"LegendView\";class m extends l.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new a.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=g,this.mixins([[\"label_\",n.Text],[\"title_\",n.Text],[\"inactive_\",n.Fill],[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({orientation:[h.Orientation,\"vertical\"],location:[h.Any,\"top_right\"],title:[h.String],title_standoff:[h.Number,5],label_standoff:[h.Number,5],glyph_height:[h.Number,20],glyph_width:[h.Number,20],label_height:[h.Number,20],label_width:[h.Number,20],margin:[h.Number,10],padding:[h.Number,10],spacing:[h.Number,3],items:[h.Array,[]],click_policy:[h.Any,\"none\"]}),this.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=m,m.__name__=\"Legend\",m.init_Legend()},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),l=e(71),i=e(77),s=e(138),_=t.__importStar(e(18)),o=e(72),a=e(9);class u extends l.Model{constructor(e){super(e)}static init_LegendItem(){this.define({label:[_.StringSpec,null],renderers:[_.Array,[]],index:[_.Number,null]})}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!a.includes(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,()=>{null!=this.legend&&this.legend.item_change.emit()}),this._check_data_sources_on_renderers()||o.logger.error(\"Non matching data sources on legend item renderers\"),this._check_field_label_on_data_source()||o.logger.error(\"Bad column name on label: \"+this.label)}get_field_from_label_prop(){const{label:e}=this;return s.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(s.isValue(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof i.ColumnarDataSource){const n=r.get_column(e);return null!=n?a.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=u,u.__name__=\"LegendItem\",u.init_LegendItem()},\n      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(8);n.isValue=function(e){return t.isPlainObject(e)&&\"value\"in e},n.isField=function(e){return t.isPlainObject(e)&&\"field\"in e}},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(31),l=n.__importStar(t(23)),o=t(14),a=n.__importStar(t(18));class r extends s.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render())}render(){if(!this.model.visible)return;const{xs:t,ys:e}=this.model;if(t.length!=e.length)return;if(t.length<3||e.length<3)return;const{frame:i}=this.plot_view,{ctx:n}=this.layer;for(let s=0,l=t.length;s<l;s++){let l,o;if(\"screen\"!=this.model.xs_units)throw new Error(\"not implemented\");if(l=this.model.screen?t[s]:i.xview.compute(t[s]),\"screen\"!=this.model.ys_units)throw new Error(\"not implemented\");o=this.model.screen?e[s]:i.yview.compute(e[s]),0==s?(n.beginPath(),n.moveTo(l,o)):n.lineTo(l,o)}n.closePath(),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill())}}i.PolyAnnotationView=r,r.__name__=\"PolyAnnotationView\";class _ extends s.Annotation{constructor(t){super(t)}static init_PolyAnnotation(){this.prototype.default_view=r,this.mixins([l.Line,l.Fill]),this.define({xs:[a.Array,[]],xs_units:[a.SpatialUnits,\"data\"],ys:[a.Array,[]],ys_units:[a.SpatialUnits,\"data\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.internal({screen:[a.Boolean,!1]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({xs:t,ys:e}){this.setv({xs:t,ys:e,screen:!0},{silent:!0}),this.data_update.emit()}}i.PolyAnnotation=_,_.__name__=\"PolyAnnotation\",_.init_PolyAnnotation()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(31),l=n.__importStar(e(23)),o=n.__importStar(e(18));class r extends s.AnnotationView{initialize(){super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render())}render(){this.model.visible&&this._draw_slope()}_draw_slope(){const e=this.model.gradient,t=this.model.y_intercept;if(null==e||null==t)return;const{frame:i}=this.plot_view,n=i.xscales[this.model.x_range_name],s=i.yscales[this.model.y_range_name],l=i._top.value,o=l+i._height.value,r=(s.invert(l)-t)/e,a=(s.invert(o)-t)/e,_=n.compute(r),c=n.compute(a),{ctx:u}=this.layer;u.save(),u.beginPath(),this.visuals.line.set_value(u),u.moveTo(_,l),u.lineTo(c,o),u.stroke(),u.restore()}}i.SlopeView=r,r.__name__=\"SlopeView\";class a extends s.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=r,this.mixins(l.Line),this.define({gradient:[o.Number,null],y_intercept:[o.Number,null],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({line_color:\"black\"})}}i.Slope=a,a.__name__=\"Slope\",a.init_Slope()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),o=e(31),s=n.__importStar(e(23)),a=n.__importStar(e(18));class l extends o.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],n=t.yscales[this.model.y_range_name],o=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,a,l,r;\"width\"==this.model.dimension?(l=o(n,t.yview),a=t._left.value,r=t._width.value,s=this.model.properties.line_width.value()):(l=t._top.value,a=o(i,t.xview),r=this.model.properties.line_width.value(),s=t._height.value);const{ctx:_}=this.layer;_.save(),_.beginPath(),this.visuals.line.set_value(_),_.moveTo(a,l),\"width\"==this.model.dimension?_.lineTo(a+r,l):_.lineTo(a,l+s),_.stroke(),_.restore()}}i.SpanView=l,l.__name__=\"SpanView\";class r extends o.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=l,this.mixins(s.Line),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],location:[a.Number,null],location_units:[a.SpatialUnits,\"data\"],dimension:[a.Dimension,\"width\"]}),this.override({line_color:\"black\"}),this.internal({for_hover:[a.Boolean,!1]})}}i.Span=r,r.__name__=\"Span\",r.init_Span()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1),a=e(134),s=e(68),n=e(70),o=l.__importStar(e(23)),r=l.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.text=new n.Text(this.model)}_get_location(){const e=this.panel,t=this.model.offset;let i,l;switch(e.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":l=e._top.value+5;break;case\"middle\":l=e._vcenter.value;break;case\"bottom\":l=e._bottom.value-5}switch(this.model.align){case\"left\":i=e._left.value+t;break;case\"center\":i=e._hcenter.value;break;case\"right\":i=e._right.value-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=e._left.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._right.value+5}switch(this.model.align){case\"left\":l=e._bottom.value-t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._top.value+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=e._right.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._left.value+5}switch(this.model.align){case\"left\":l=e._top.value+t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._bottom.value-t}}return[i,l]}render(){if(!this.model.visible)return void(\"css\"==this.model.render_mode&&s.undisplay(this.el));const{text:e}=this.model;if(null==e||0==e.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[t,i]=this._get_location(),l=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,e,t,i,l)}_get_size(){const{text:e}=this.model;if(null==e||0==e.length)return{width:0,height:0};{this.visuals.text.set_value(this.layer.ctx);const{width:t,ascent:i}=this.layer.ctx.measureText(e);return{width:t,height:i*this.visuals.text.text_line_height.value()+10}}}}i.TitleView=_,_.__name__=\"TitleView\";class c extends a.TextAnnotation{constructor(e){super(e)}static init_Title(){this.prototype.default_view=_,this.mixins([[\"border_\",o.Line],[\"background_\",o.Fill]]),this.define({text:[r.String],text_font:[r.Font,\"helvetica\"],text_font_size:[r.StringSpec,\"13px\"],text_font_style:[r.FontStyle,\"bold\"],text_color:[r.ColorSpec,\"#444444\"],text_alpha:[r.NumberSpec,1],text_line_height:[r.Number,1],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[r.Number,0]}),this.override({background_fill_color:null,border_line_color:null}),this.internal({text_align:[r.TextAlign,\"left\"],text_baseline:[r.TextBaseline,\"bottom\"]})}}i.Title=c,c.__name__=\"Title\",c.init_Title()},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(31),s=e(99),a=e(68),n=o.__importStar(e(18));class r extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){this._toolbar_view=await s.build_view(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push(e=>this._toolbar_view.set_visibility(e))}remove(){this._toolbar_view.remove(),super.remove()}render(){super.render(),this.model.visible?(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",a.position(this.el,this.panel.bbox),this._toolbar_view.render(),a.empty(this.el),this.el.appendChild(this._toolbar_view.el),a.display(this.el)):a.undisplay(this.el)}_get_size(){const{tools:e,logo:i}=this.model.toolbar;return{width:30*e.length+(null!=i?25:0),height:30}}}t.ToolbarPanelView=r,r.__name__=\"ToolbarPanelView\";class _ extends l.Annotation{constructor(e){super(e)}static init_ToolbarPanel(){this.prototype.default_view=r,this.define({toolbar:[n.Instance]})}}t.ToolbarPanel=_,_.__name__=\"ToolbarPanel\",_.init_ToolbarPanel()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(31),o=t(68),a=i.__importStar(t(18)),h=t(145),n=t(146),r=i.__importDefault(t(147));function c(t,e,s,i,l){switch(t){case\"horizontal\":return e<i?\"right\":\"left\";case\"vertical\":return s<l?\"below\":\"above\";default:return t}}s.compute_side=c;class d extends l.AnnotationView{initialize(){super.initialize(),this.plot_view.canvas_view.add_overlay(this.el),o.undisplay(this.el)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>this._draw_tips())}styles(){return[...super.styles(),r.default]}css_classes(){return super.css_classes().concat(h.bk_tooltip)}render(){this.model.visible&&this._draw_tips()}_draw_tips(){const{data:t}=this.model;if(o.empty(this.el),o.undisplay(this.el),this.model.custom?this.el.classList.add(h.bk_tooltip_custom):this.el.classList.remove(h.bk_tooltip_custom),0==t.length)return;const{frame:e}=this.plot_view;for(const[s,i,l]of t){if(this.model.inner_only&&!e.bbox.contains(s,i))continue;const t=o.div({},l);this.el.appendChild(t)}const[s,i]=t[t.length-1],l=c(this.model.attachment,s,i,e._hcenter.value,e._vcenter.value);this.el.classList.remove(n.bk_right),this.el.classList.remove(n.bk_left),this.el.classList.remove(n.bk_above),this.el.classList.remove(n.bk_below);let a;o.display(this.el);let r=0,d=0;switch(l){case\"right\":this.el.classList.add(n.bk_left),r=s+(this.el.offsetWidth-this.el.clientWidth)+10,a=i-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(n.bk_right),d=this.plot_view.layout.bbox.width-s+10,a=i-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(n.bk_above),a=i+(this.el.offsetHeight-this.el.clientHeight)+10,r=Math.round(s-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(n.bk_below),a=i-this.el.offsetHeight-10,r=Math.round(s-this.el.offsetWidth/2)}this.model.show_arrow&&this.el.classList.add(h.bk_tooltip_arrow),this.el.childNodes.length>0?(this.el.style.top=a+\"px\",this.el.style.left=r?r+\"px\":\"auto\",this.el.style.right=d?d+\"px\":\"auto\"):o.undisplay(this.el)}}s.TooltipView=d,d.__name__=\"TooltipView\";class _ extends l.Annotation{constructor(t){super(t)}static init_Tooltip(){this.prototype.default_view=d,this.define({attachment:[a.TooltipAttachment,\"horizontal\"],inner_only:[a.Boolean,!0],show_arrow:[a.Boolean,!0]}),this.override({level:\"overlay\"}),this.internal({data:[a.Any,[]],custom:[a.Any]})}clear(){this.data=[]}add(t,e,s){this.data=this.data.concat([[t,e,s]])}}s.Tooltip=_,_.__name__=\"Tooltip\",_.init_Tooltip()},\n      function _(o,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tooltip=\"bk-tooltip\",l.bk_tooltip_arrow=\"bk-tooltip-arrow\",l.bk_tooltip_custom=\"bk-tooltip-custom\",l.bk_tooltip_row_label=\"bk-tooltip-row-label\",l.bk_tooltip_row_value=\"bk-tooltip-row-value\",l.bk_tooltip_color_block=\"bk-tooltip-color-block\"},\n      function _(e,b,k){Object.defineProperty(k,\"__esModule\",{value:!0}),k.bk_active=\"bk-active\",k.bk_inline=\"bk-inline\",k.bk_left=\"bk-left\",k.bk_right=\"bk-right\",k.bk_above=\"bk-above\",k.bk_below=\"bk-below\",k.bk_up=\"bk-up\",k.bk_down=\"bk-down\",k.bk_side=function(e){switch(e){case\"above\":return k.bk_above;case\"below\":return k.bk_below;case\"left\":return k.bk_left;case\"right\":return k.bk_right}}},\n      function _(o,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root {\\n  /* Same border color used everywhere */\\n  /* Gray of icons */\\n}\\n.bk-root .bk-tooltip {\\n  font-weight: 300;\\n  font-size: 12px;\\n  position: absolute;\\n  padding: 5px;\\n  border: 1px solid #e5e5e5;\\n  color: #2f2f2f;\\n  background-color: white;\\n  pointer-events: none;\\n  opacity: 0.95;\\n  z-index: 100;\\n}\\n.bk-root .bk-tooltip > div:not(:first-child) {\\n  /* gives space when multiple elements are being hovered over */\\n  margin-top: 5px;\\n  border-top: #e5e5e5 1px dashed;\\n}\\n.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-left::before {\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right::after {\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-above::before {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  top: -10px;\\n  border-bottom-width: 10px;\\n  border-bottom-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-below::after {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  bottom: -10px;\\n  border-top-width: 10px;\\n  border-top-color: #909599;\\n}\\n.bk-root .bk-tooltip-row-label {\\n  text-align: right;\\n  color: #26aae1;\\n  /* blue from toolbar highlighting */\\n}\\n.bk-root .bk-tooltip-row-value {\\n  color: default;\\n  /* seems to be necessary for notebook */\\n}\\n.bk-root .bk-tooltip-color-block {\\n  width: 12px;\\n  height: 12px;\\n  margin-left: 5px;\\n  margin-right: 5px;\\n  outline: #dddddd solid 1px;\\n  display: inline-block;\\n}\\n'},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(31),o=e(76),a=e(75),n=e(23),h=i.__importStar(e(18));class _ extends r.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],r=\"height\"==t?i:s,o=\"height\"==t?s:i,a=\"height\"==t?e.yview:e.xview,n=\"height\"==t?e.xview:e.yview;let h,_,l;h=\"data\"==this.model.properties.lower.units?r.v_compute(this._lower):a.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?r.v_compute(this._upper):a.v_compute(this._upper),l=\"data\"==this.model.properties.base.units?o.v_compute(this._base):n.v_compute(this._base);const[d,p]=\"height\"==t?[1,0]:[0,1],c=[h,l],u=[_,l];this._lower_sx=c[d],this._lower_sy=c[p],this._upper_sx=u[d],this._upper_sy=u[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;t<s;t++)this.visuals.line.set_vectorize(e,t),e.beginPath(),e.moveTo(this._lower_sx[t],this._lower_sy[t]),e.lineTo(this._upper_sx[t],this._upper_sy[t]),e.stroke();const t=\"height\"==this.model.dimension?0:Math.PI/2;if(null!=this.model.lower_head)for(let s=0,i=this._lower_sx.length;s<i;s++)e.save(),e.translate(this._lower_sx[s],this._lower_sy[s]),e.rotate(t+Math.PI),this.model.lower_head.render(e,s),e.restore();if(null!=this.model.upper_head)for(let s=0,i=this._upper_sx.length;s<i;s++)e.save(),e.translate(this._upper_sx[s],this._upper_sy[s]),e.rotate(t),this.model.upper_head.render(e,s),e.restore()}}s.WhiskerView=_,_.__name__=\"WhiskerView\";class l extends r.Annotation{constructor(e){super(e)}static init_Whisker(){this.prototype.default_view=_,this.mixins(n.LineVector),this.define({lower:[h.DistanceSpec],lower_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],upper:[h.DistanceSpec],upper_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],base:[h.DistanceSpec],dimension:[h.Dimension,\"height\"],source:[h.Instance,()=>new o.ColumnDataSource],x_range_name:[h.String,\"default\"],y_range_name:[h.String,\"default\"]}),this.override({level:\"underlay\"})}}s.Whisker=l,l.__name__=\"Whisker\",l.init_Whisker()},\n      function _(i,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});var r=i(150);e.Axis=r.Axis;var s=i(152);e.CategoricalAxis=s.CategoricalAxis;var x=i(155);e.ContinuousAxis=x.ContinuousAxis;var A=i(156);e.DatetimeAxis=A.DatetimeAxis;var o=i(157);e.LinearAxis=o.LinearAxis;var t=i(170);e.LogAxis=t.LogAxis;var n=i(173);e.MercatorAxis=n.MercatorAxis},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(151),l=s.__importStar(e(23)),n=s.__importStar(e(18)),o=e(9),r=e(8),_=e(90),{abs:h,min:c,max:m}=Math;class d extends a.GuideRendererView{constructor(){super(...arguments),this.rotate=!0}get panel(){return this.layout}render(){if(!this.model.visible)return;const e={tick:this._tick_extent(),tick_label:this._tick_label_extents(),axis_label:this._axis_label_extent()},t=this.tick_coords,i=this.layer.ctx;i.save(),this._draw_rule(i,e),this._draw_major_ticks(i,e,t),this._draw_minor_ticks(i,e,t),this._draw_major_labels(i,e,t),this._draw_axis_label(i,e,t),null!=this._render&&this._render(i,e,t),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint());const e=this.model.properties;this.on_change(e.visible,()=>this.plot_view.request_layout())}get_size(){if(this.model.visible&&null==this.model.fixed_location){const e=this._get_size();return{width:0,height:Math.round(e)}}return{width:0,height:0}}_get_size(){return this._tick_extent()+this._tick_label_extent()+this._axis_label_extent()}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(e,t){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,l]=this.plot_view.map_to_screen(i,s,this.model.x_range_name,this.model.y_range_name),[n,o]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(e),e.beginPath(),e.moveTo(Math.round(a[0]+n*r),Math.round(l[0]+o*_));for(let t=1;t<a.length;t++){const i=Math.round(a[t]+n*r),s=Math.round(l[t]+o*_);e.lineTo(i,s)}e.stroke()}_draw_major_ticks(e,t,i){const s=this.model.major_tick_in,a=this.model.major_tick_out,l=this.visuals.major_tick_line;this._draw_ticks(e,i.major,s,a,l)}_draw_minor_ticks(e,t,i){const s=this.model.minor_tick_in,a=this.model.minor_tick_out,l=this.visuals.minor_tick_line;this._draw_ticks(e,i.minor,s,a,l)}_draw_major_labels(e,t,i){const s=i.major,a=this.compute_labels(s[this.dimension]),l=this.model.major_label_orientation,n=t.tick+this.model.major_label_standoff,o=this.visuals.major_label_text;this._draw_oriented_labels(e,a,s,l,this.panel.side,n,o)}_draw_axis_label(e,t,i){if(null==this.model.axis_label||0==this.model.axis_label.length||null!=this.model.fixed_location)return;let s,a;switch(this.panel.side){case\"above\":s=this.panel._hcenter.value,a=this.panel._bottom.value;break;case\"below\":s=this.panel._hcenter.value,a=this.panel._top.value;break;case\"left\":s=this.panel._right.value,a=this.panel._vcenter.value;break;case\"right\":s=this.panel._left.value,a=this.panel._vcenter.value;break;default:throw new Error(\"unknown side: \"+this.panel.side)}const l=[[s],[a]],n=t.tick+o.sum(t.tick_label)+this.model.axis_label_standoff,r=this.visuals.axis_label_text;this._draw_oriented_labels(e,[this.model.axis_label],l,\"parallel\",this.panel.side,n,r,\"screen\")}_draw_ticks(e,t,i,s,a){if(!a.doit)return;const[l,n]=t,[o,r]=this.plot_view.map_to_screen(l,n,this.model.x_range_name,this.model.y_range_name),[_,h]=this.normals,[c,m]=this.offsets,[d,u]=[_*(c-i),h*(m-i)],[b,x]=[_*(c+s),h*(m+s)];a.set_value(e);for(let t=0;t<o.length;t++){const i=Math.round(o[t]+b),s=Math.round(r[t]+x),a=Math.round(o[t]+d),l=Math.round(r[t]+u);e.beginPath(),e.moveTo(i,s),e.lineTo(a,l),e.stroke()}}_draw_oriented_labels(e,t,i,s,a,l,n,o=\"data\"){if(!n.doit||0==t.length)return;let _,h,c,m;if(\"screen\"==o)[_,h]=i,[c,m]=[0,0];else{const[e,t]=i;[_,h]=this.plot_view.map_to_screen(e,t,this.model.x_range_name,this.model.y_range_name),[c,m]=this.offsets}const[d,u]=this.normals,b=d*(c+l),x=u*(m+l);let f;n.set_value(e),this.panel.apply_label_text_heuristics(e,s),f=r.isString(s)?this.panel.get_label_angle_heuristic(s):-s;for(let i=0;i<_.length;i++){const s=Math.round(_[i]+b),a=Math.round(h[i]+x);e.translate(s,a),e.rotate(f),e.fillText(t[i],0,0),e.rotate(-f),e.translate(-s,-a)}}_axis_label_extent(){if(null==this.model.axis_label||\"\"==this.model.axis_label)return 0;const e=this.model.axis_label_standoff,t=this.visuals.axis_label_text;return this._oriented_labels_extent([this.model.axis_label],\"parallel\",this.panel.side,e,t)}_tick_extent(){return this.model.major_tick_out}_tick_label_extent(){return o.sum(this._tick_label_extents())}_tick_label_extents(){const e=this.tick_coords.major,t=this.compute_labels(e[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(t,i,this.panel.side,s,a)]}_oriented_labels_extent(e,t,i,s,a){if(0==e.length)return 0;const l=this.layer.ctx;let n,o;a.set_value(l),r.isString(t)?(n=1,o=this.panel.get_label_angle_heuristic(t)):(n=2,o=-t),o=Math.abs(o);const _=Math.cos(o),h=Math.sin(o);let c=0;for(let t=0;t<e.length;t++){const s=1.1*l.measureText(e[t]).width,a=.9*l.measureText(e[t]).ascent;let o;o=\"above\"==i||\"below\"==i?s*h+a/n*_:s*_+a/n*h,o>c&&(c=o)}return c>0&&(c+=s),c}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(e){const t=this.model.formatter.doFormat(e,this);for(let i=0;i<e.length;i++)e[i]in this.model.major_label_overrides&&(t[i]=this.model.major_label_overrides[e[i]]);return t}get offsets(){if(null!=this.model.fixed_location)return[0,0];const{frame:e}=this.plot_view;let[t,i]=[0,0];switch(this.panel.side){case\"below\":i=h(this.panel._top.value-e._bottom.value);break;case\"above\":i=h(this.panel._bottom.value-e._top.value);break;case\"right\":t=h(this.panel._left.value-e._right.value);break;case\"left\":t=h(this.panel._right.value-e._left.value)}return[t,i]}get ranges(){const e=this.dimension,t=(e+1)%2,{frame:i}=this.plot_view,s=[i.x_ranges[this.model.x_range_name],i.y_ranges[this.model.y_range_name]];return[s[e],s[t]]}get computed_bounds(){const[e]=this.ranges,t=this.model.bounds,i=[e.min,e.max];if(\"auto\"==t)return[e.min,e.max];if(r.isArray(t)){let e,s;const[a,l]=t,[n,o]=i;return h(a-l)>h(n-o)?(e=m(c(a,l),n),s=c(m(a,l),o)):(e=c(a,l),s=m(a,l)),[e,s]}throw new Error(`user bounds '${t}' not understood`)}get rule_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=[new Array(2),new Array(2)];return l[e][0]=Math.max(s,i.min),l[e][1]=Math.min(a,i.max),l[e][0]>l[e][1]&&(l[e][0]=l[e][1]=NaN),l[t][0]=this.loc,l[t][1]=this.loc,l}get tick_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=this.model.ticker.get_ticks(s,a,i,this.loc,{}),n=l.major,o=l.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;i<n.length;i++)n[i]<h||n[i]>c||(r[e].push(n[i]),r[t].push(this.loc));for(let i=0;i<o.length;i++)o[i]<h||o[i]>c||(_[e].push(o[i]),_[t].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:e}=this.model;if(null!=e){if(r.isNumber(e))return e;const[,t]=this.ranges;if(t instanceof _.FactorRange)return t.synthetic(e);throw new Error(\"unexpected\")}const[,t]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return t.start;case\"right\":case\"above\":return t.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}}i.AxisView=d,d.__name__=\"AxisView\";class u extends a.GuideRenderer{constructor(e){super(e)}static init_Axis(){this.prototype.default_view=d,this.mixins([[\"axis_\",l.Line],[\"major_tick_\",l.Line],[\"minor_tick_\",l.Line],[\"major_label_\",l.Text],[\"axis_label_\",l.Text]]),this.define({bounds:[n.Any,\"auto\"],ticker:[n.Instance],formatter:[n.Instance],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"],axis_label:[n.String,\"\"],axis_label_standoff:[n.Int,5],major_label_standoff:[n.Int,5],major_label_orientation:[n.Any,\"horizontal\"],major_label_overrides:[n.Any,{}],major_tick_in:[n.Number,2],major_tick_out:[n.Number,6],minor_tick_in:[n.Number,0],minor_tick_out:[n.Number,4],fixed_location:[n.Any,null]}),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})}}i.Axis=u,u.__name__=\"Axis\",u.init_Axis()},\n      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});const i=e(65);class n extends i.RendererView{}d.GuideRendererView=n,n.__name__=\"GuideRendererView\";class t extends i.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"guide\"})}}d.GuideRenderer=t,t.__name__=\"GuideRenderer\",t.init_GuideRenderer()},\n      function _(t,s,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),i=t(150),r=t(153),a=t(154),l=e.__importStar(t(23)),_=e.__importStar(t(18));class n extends i.AxisView{_render(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;t<e.tops.length-1;t++){let s,o;for(let i=n;i<e.factors.length;i++)if(e.factors[i][0]==e.tops[t+1]){[s,o]=[e.factors[i-1],e.factors[i]],n=i;break}const h=(e.synthetic(s)+e.synthetic(o))/2;h>i&&h<r&&(_[a].push(h),_[l].push(this.loc))}const h=this._tick_label_extent();this._draw_ticks(t,_,-3,h-6,this.visuals.separator_line)}_draw_major_labels(t,s,o){const e=this._get_factor_info();let i=s.tick+this.model.major_label_standoff;for(let o=0;o<e.length;o++){const[r,a,l,_]=e[o];this._draw_oriented_labels(t,r,a,l,this.panel.side,i,_),i+=s.tick_label[o]}}_tick_label_extents(){const t=this._get_factor_info(),s=[];for(const[o,,e,i]of t){const t=this._oriented_labels_extent(o,e,this.panel.side,this.model.major_label_standoff,i);s.push(t)}return s}_get_factor_info(){const[t]=this.ranges,[s,o]=this.computed_bounds,e=this.loc,i=this.model.ticker.get_ticks(s,o,t,e,{}),r=this.tick_coords,a=[];if(1==t.levels){const t=i.major,s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=i.major.map(t=>t[1]),s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=i.major.map(t=>t[2]),s=this.model.formatter.doFormat(t,this),o=i.mids.map(t=>t[1]);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([o,r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc,{}),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map(t=>this.loc),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map(t=>this.loc)),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map(t=>this.loc)),a}}o.CategoricalAxisView=n,n.__name__=\"CategoricalAxisView\";class h extends i.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=n,this.mixins([[\"separator_\",l.Line],[\"group_\",l.Text],[\"subgroup_\",l.Text]]),this.define({group_label_orientation:[_.Any,\"parallel\"],subgroup_label_orientation:[_.Any,\"parallel\"]}),this.override({ticker:()=>new r.CategoricalTicker,formatter:()=>new a.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})}}o.CategoricalAxis=h,h.__name__=\"CategoricalAxis\",h.init_CategoricalAxis()},\n      function _(t,c,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(112);class s extends o.Ticker{constructor(t){super(t)}get_ticks(t,c,e,o,s){return{major:this._collect(e.factors,e,t,c),minor:[],tops:this._collect(e.tops||[],e,t,c),mids:this._collect(e.mids||[],e,t,c)}}_collect(t,c,e,o){const s=[];for(const r of t){const t=c.synthetic(r);t>e&&t<o&&s.push(r)}return s}}e.CategoricalTicker=s,s.__name__=\"CategoricalTicker\"},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(114),c=e(9);class a extends o.TickFormatter{constructor(e){super(e)}doFormat(e,t){return c.copy(e)}}r.CategoricalTickFormatter=a,a.__name__=\"CategoricalTickFormatter\"},\n      function _(s,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=s(150);class t extends o.Axis{constructor(s){super(s)}}n.ContinuousAxis=t,t.__name__=\"ContinuousAxis\"},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(157),a=e(158),r=e(163);class n extends s.LinearAxisView{}i.DatetimeAxisView=n,n.__name__=\"DatetimeAxisView\";class _ extends s.LinearAxis{constructor(e){super(e)}static init_DatetimeAxis(){this.prototype.default_view=n,this.override({ticker:()=>new r.DatetimeTicker,formatter:()=>new a.DatetimeTickFormatter})}}i.DatetimeAxis=_,_.__name__=\"DatetimeAxis\",_.init_DatetimeAxis()},\n      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(150),n=e(155),r=e(113),a=e(109);class _ extends t.AxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class c extends n.ContinuousAxis{constructor(e){super(e)}static init_LinearAxis(){this.prototype.default_view=_,this.override({ticker:()=>new a.BasicTicker,formatter:()=>new r.BasicTickFormatter})}}s.LinearAxis=c,c.__name__=\"LinearAxis\",c.init_LinearAxis()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),i=r.__importDefault(t(159)),n=t(114),o=t(72),a=r.__importStar(t(18)),c=t(160),m=t(9),u=t(8);function h(t){return i.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map(t=>parseInt(t,10))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:i.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends n.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static init_DatetimeTickFormatter(){this.define({microseconds:[a.Array,[\"%fus\"]],milliseconds:[a.Array,[\"%3Nms\",\"%S.%3Ns\"]],seconds:[a.Array,[\"%Ss\"]],minsec:[a.Array,[\":%M:%S\"]],minutes:[a.Array,[\":%M\",\"%Mm\"]],hourmin:[a.Array,[\"%H:%M\"]],hours:[a.Array,[\"%Hh\",\"%H:%M\"]],days:[a.Array,[\"%m/%d\",\"%a%d\"]],months:[a.Array,[\"%m/%Y\",\"%b %Y\"]],years:[a.Array,[\"%Y\"]]})}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const t=+i.default(new Date),s=function(s){const e=s.map(s=>d(t,s).length),r=m.sort_by(m.zip(e,s),([t])=>t);return m.unzip(r)};this._width_formats={microseconds:s(this.microseconds),milliseconds:s(this.milliseconds),seconds:s(this.seconds),minsec:s(this.minsec),minutes:s(this.minutes),hourmin:s(this.hourmin),hours:s(this.hours),days:s(this.days),months:s(this.months),years:s(this.years)}}_get_resolution_str(t,s){const e=1.1*t;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return s>=60?\"minsec\":\"seconds\";case!(e<3600):return s>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(t,s){if(0==t.length)return[];const e=Math.abs(t[t.length-1]-t[0])/1e3,r=e/(t.length-1),i=this._get_resolution_str(r,e),[,[n]]=this._width_formats[i],a=[],c=l.indexOf(i),m={};for(const t of l)m[t]=0;m.seconds=5,m.minsec=4,m.minutes=4,m.hourmin=3,m.hours=3;for(const s of t){let t,e;try{e=h(s),t=d(s,n)}catch(t){o.logger.warn(\"unable to format tick for timestamp value \"+s),o.logger.warn(\" - \"+t),a.push(\"ERR\");continue}let r=!1,u=c;for(;0==e[m[l[u]]];){let n;if(u+=1,u==l.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!r){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){n=this._width_formats[l[c-1]][1][0],t=d(s,n);break}r=!0}n=this._width_formats[l[u]][1][0],t=d(s,n)}if(this.strip_leading_zeros){let s=t.replace(/^0+/g,\"\");s!=t&&isNaN(parseInt(s))&&(s=\"0\"+s),a.push(s)}else a.push(t)}return a}}e.DatetimeTickFormatter=_,_.__name__=\"DatetimeTickFormatter\",_.init_DatetimeTickFormatter()},\n      function _(e,t,n){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new 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e.getUTCFullYear()},y:function(e){return e.getUTCFullYear()%100},H:function(e){return e.getUTCHours()},M:function(e){return e.getUTCMinutes()},S:function(e){return e.getUTCSeconds()},e:function(e){return e.getUTCDate()},d:function(e){return e.getUTCDate()},u:function(e){return e.getUTCDay()||7},w:function(e){return e.getUTCDay()},l:function(e){return e.getUTCHours()%12||12},I:function(e){return e.getUTCHours()%12||12},k:function(e){return e.getUTCHours()},Z:function(e){return this.entry.abbrev},a:function(e){return this[this.locale].day.abbrev[e.getUTCDay()]},A:function(e){return this[this.locale].day.full[e.getUTCDay()]},h:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},b:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},B:function(e){return this[this.locale].month.full[e.getUTCMonth()]},P:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)].toLowerCase()},p:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)]},R:function(e,t){return this.convert([t,\"%H:%M\"])},T:function(e,t){return this.convert([t,\"%H:%M:%S\"])},D:function(e,t){return this.convert([t,\"%m/%d/%y\"])},F:function(e,t){return this.convert([t,\"%Y-%m-%d\"])},x:function(e,t){return this.convert([t,this[this.locale].date])},r:function(e,t){return this.convert([t,this[this.locale].time12||\"%I:%M:%S\"])},X:function(e,t){return this.convert([t,this[this.locale].time24])},c:function(e,t){return this.convert([t,this[this.locale].dateTime])},convert:function(e){if(!e.length)return\"1.0.23\";var t,a,u,l,s,c=Object.create(this),f=[];for(t=0;t<e.length;t++)if(l=e[t],Array.isArray(l))t||isNaN(l[1])?l.splice.apply(e,[t--,1].concat(l)):s=l;else if(isNaN(l)){if(\"string\"==(u=typeof 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Use `setCulture` instead\");var t=e,r=e.split(\"-\")[0],i=null;a[t]||(Object.keys(a).forEach((function(e){i||e.split(\"-\")[0]!==r||(i=e)})),t=i||n||\"en-US\"),m(t)},r.setCulture=function(e,n){var t=e,r=e.split(\"-\")[1],a=null;i[t]||(r&&Object.keys(i).forEach((function(e){a||e.split(\"-\")[1]!==r||(a=e)})),t=a||n||\"en-US\"),m(t)},r.language=function(e,n){if(console.warn(\"`language` is deprecated since version 1.6.0. Use `culture` instead\"),!e)return o;if(e&&!n){if(!a[e])throw new Error(\"Unknown language : \"+e);m(e)}return!n&&a[e]||p(e,n),r},r.culture=function(e,n){if(!e)return o;if(e&&!n){if(!i[e])throw new Error(\"Unknown culture : \"+e);m(e)}return!n&&i[e]||p(e,n),r},r.languageData=function(e){if(console.warn(\"`languageData` is deprecated since version 1.6.0. 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Use `cultures` instead\"),a},r.cultures=function(){return i},r.zeroFormat=function(e){l=\"string\"==typeof e?e:null},r.defaultFormat=function(e){u=\"string\"==typeof e?e:\"0.0\"},r.defaultCurrencyFormat=function(e){\"string\"==typeof e?e:\"0$\"},r.validate=function(e,n){var t,i,a,o,l,u,c,s;if(\"string\"!=typeof e&&(e+=\"\",console.warn&&console.warn(\"Numbro.js: Value is not string. 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e={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function n(e){return i(a(e),arguments)}function r(e,t){return n.apply(null,[e].concat(t||[]))}function i(t,r){var i,s,a,o,p,c,l,u,f,d=1,g=t.length,y=\"\";for(s=0;s<g;s++)if(\"string\"==typeof t[s])y+=t[s];else if(\"object\"==typeof t[s]){if((o=t[s]).keys)for(i=r[d],a=0;a<o.keys.length;a++){if(null==i)throw new Error(n('[sprintf] Cannot access property \"%s\" of undefined value \"%s\"',o.keys[a],o.keys[a-1]));i=i[o.keys[a]]}else i=o.param_no?r[o.param_no]:r[d++];if(e.not_type.test(o.type)&&e.not_primitive.test(o.type)&&i instanceof 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a.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:m.ONE_HOUR,max_interval:12*m.ONE_HOUR,num_minor_ticks:0}),new r.DaysTicker({days:t.range(1,32)}),new r.DaysTicker({days:t.range(1,31,3)}),new r.DaysTicker({days:[1,8,15,22]}),new r.DaysTicker({days:[1,15]}),new c.MonthsTicker({months:t.range(0,12,1)}),new c.MonthsTicker({months:t.range(0,12,2)}),new c.MonthsTicker({months:t.range(0,12,4)}),new c.MonthsTicker({months:t.range(0,12,6)}),new _.YearsTicker({})]})}}n.DatetimeTicker=k,k.__name__=\"DatetimeTicker\",k.init_DatetimeTicker()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),s=t(111),n=r.__importStar(t(18)),_=t(9);class a extends s.ContinuousTicker{constructor(t){super(t)}static init_CompositeTicker(){this.define({tickers:[n.Array,[]]})}get min_intervals(){return this.tickers.map(t=>t.get_min_interval())}get max_intervals(){return this.tickers.map(t=>t.get_max_interval())}get min_interval(){return this.min_intervals[0]}get max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const r=e-t,s=this.get_ideal_interval(t,e,i),n=[_.sorted_index(this.min_intervals,s)-1,_.sorted_index(this.max_intervals,s)],a=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map(t=>Math.abs(i-r/t));let c;if(_.is_empty(a.filter(t=>!isNaN(t))))c=this.tickers[0];else{const t=n[_.argmin(a)];c=this.tickers[t]}return c}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,r){return this.get_best_ticker(t,e,r).get_ticks_no_defaults(t,e,i,r)}}i.CompositeTicker=a,a.__name__=\"CompositeTicker\",a.init_CompositeTicker()},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=t(166),a=t(167),o=i.__importStar(t(18)),r=t(9);class _ extends s.SingleIntervalTicker{constructor(t){super(t)}static init_DaysTicker(){this.define({days:[o.Array,[]]}),this.override({num_minor_ticks:0})}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*a.ONE_DAY:this.interval=31*a.ONE_DAY}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=a.last_month_no_later_than(new Date(t)),i=a.last_month_no_later_than(new Date(e));i.setUTCMonth(i.getUTCMonth()+1);const s=[],o=n;for(;s.push(a.copy_date(o)),o.setUTCMonth(o.getUTCMonth()+1),!(o>i););return s}(t,e),o=this.days,_=this.interval;return{major:r.concat(s.map(t=>((t,e)=>{const n=t.getUTCMonth(),i=[];for(const s of o){const o=a.copy_date(t);o.setUTCDate(s),new Date(o.getTime()+e/2).getUTCMonth()==n&&i.push(o)}return i})(t,_))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.DaysTicker=_,_.__name__=\"DaysTicker\",_.init_DaysTicker()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),r=e(111),l=n.__importStar(e(18));class a extends r.ContinuousTicker{constructor(e){super(e)}static init_SingleIntervalTicker(){this.define({interval:[l.Number]})}get_interval(e,t,i){return this.interval}get min_interval(){return this.interval}get max_interval(){return this.interval}}i.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n      function _(t,e,n){function _(t){return new Date(t.getTime())}function O(t){const e=_(t);return e.setUTCDate(1),e.setUTCHours(0),e.setUTCMinutes(0),e.setUTCSeconds(0),e.setUTCMilliseconds(0),e}Object.defineProperty(n,\"__esModule\",{value:!0}),n.ONE_MILLI=1,n.ONE_SECOND=1e3,n.ONE_MINUTE=60*n.ONE_SECOND,n.ONE_HOUR=60*n.ONE_MINUTE,n.ONE_DAY=24*n.ONE_HOUR,n.ONE_MONTH=30*n.ONE_DAY,n.ONE_YEAR=365*n.ONE_DAY,n.copy_date=_,n.last_month_no_later_than=O,n.last_year_no_later_than=function(t){const e=O(t);return e.setUTCMonth(0),e}},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(166),s=t(167),a=r.__importStar(t(18)),o=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define({months:[a.Array,[]]})}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*s.ONE_MONTH:this.interval=12*s.ONE_MONTH}get_ticks_no_defaults(t,e,n,r){const i=function(t,e){const n=s.last_year_no_later_than(new Date(t)),r=s.last_year_no_later_than(new Date(e));r.setUTCFullYear(r.getUTCFullYear()+1);const i=[],a=n;for(;i.push(s.copy_date(a)),a.setUTCFullYear(a.getUTCFullYear()+1),!(a>r););return i}(t,e),a=this.months;return{major:o.concat(i.map(t=>a.map(e=>{const n=s.copy_date(t);return n.setUTCMonth(e),n}))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.MonthsTicker=_,_.__name__=\"MonthsTicker\",_.init_MonthsTicker()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(109),r=e(166),n=e(167);class _ extends r.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=n.ONE_YEAR,this.basic_ticker=new i.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=n.last_year_no_later_than(new Date(e)).getUTCFullYear(),_=n.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,_,a,i).major.map(e=>Date.UTC(e,0,1)).filter(a=>e<=a&&a<=t),minor:[]}}}a.YearsTicker=_,_.__name__=\"YearsTicker\"},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(150),o=e(155),n=e(171),r=e(172);class _ extends s.AxisView{}t.LogAxisView=_,_.__name__=\"LogAxisView\";class c extends o.ContinuousAxis{constructor(e){super(e)}static init_LogAxis(){this.prototype.default_view=_,this.override({ticker:()=>new r.LogTicker,formatter:()=>new n.LogTickFormatter})}}t.LogAxis=c,c.__name__=\"LogAxis\",c.init_LogAxis()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=t(114),a=t(113),n=i.__importStar(t(18));class c extends o.TickFormatter{constructor(t){super(t)}static init_LogTickFormatter(){this.define({ticker:[n.Instance,null]})}initialize(){super.initialize(),this.basic_formatter=new a.BasicTickFormatter}doFormat(t,e){if(0==t.length)return[];const r=null!=this.ticker?this.ticker.base:10;let i=!1;const o=new Array(t.length);for(let e=0,a=t.length;e<a;e++)if(o[e]=`${r}^${Math.round(Math.log(t[e])/Math.log(r))}`,e>0&&o[e]==o[e-1]){i=!0;break}return i?this.basic_formatter.doFormat(t,e):o}}r.LogTickFormatter=c,c.__name__=\"LogTickFormatter\",c.init_LogTickFormatter()},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(110),s=t(9);class n extends i.AdaptiveTicker{constructor(t){super(t)}static init_LogTicker(){this.override({mantissas:[1,5]})}get_ticks_no_defaults(t,o,e,i){const n=this.num_minor_ticks,r=[],c=this.base,a=Math.log(t)/Math.log(c),f=Math.log(o)/Math.log(c),l=f-a;let h;if(isFinite(l))if(l<2){const 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function _(r,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=r(1),s=r(109),i=n.__importStar(r(18)),t=r(32);class c extends s.BasicTicker{constructor(r){super(r)}static init_MercatorTicker(){this.define({dimension:[i.LatLon]})}get_ticks_no_defaults(r,o,e,n){if(null==this.dimension)throw new Error(\"MercatorTicker.dimension not configured\");let s,i,c;[r,o]=t.clip_mercator(r,o,this.dimension),\"lon\"===this.dimension?([s,c]=t.wgs84_mercator.inverse([r,e]),[i,c]=t.wgs84_mercator.inverse([o,e])):([c,s]=t.wgs84_mercator.inverse([e,r]),[c,i]=t.wgs84_mercator.inverse([e,o]));const a=super.get_ticks_no_defaults(s,i,e,n),_=[],f=[];if(\"lon\"===this.dimension){for(const r of a.major)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);_.push(o)}for(const r of a.minor)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);f.push(o)}}else{for(const r of a.major)if(t.in_bounds(r,\"lat\")){const[,o]=t.wgs84_mercator.forward([c,r]);_.push(o)}for(const r of 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${o}`),this.__currentPosition={x:a,y:o}}clip(){const t=this.__closestGroupOrSvg(),e=this.__createElement(\"clipPath\"),s=n(this.__ids),i=this.__createElement(\"g\");this.__applyCurrentDefaultPath(),t.removeChild(this.__currentElement),e.setAttribute(\"id\",s),e.appendChild(this.__currentElement),this.__defs.appendChild(e),t.setAttribute(\"clip-path\",`url(#${s})`),t.appendChild(i),this.__currentElement=i}drawImage(t,...e){let s,i,n,a,o,l,h,c;if(2==e.length)[s,i]=e,o=0,l=0,h=t.width,c=t.height,n=h,a=c;else if(4==e.length)[s,i,n,a]=e,o=0,l=0,h=t.width,c=t.height;else{if(8!==e.length)throw new Error(\"Inavlid number of arguments passed to drawImage: \"+arguments.length);[o,l,h,c,s,i,n,a]=e}const _=this.__closestGroupOrSvg(),d=\"translate(\"+s+\", \"+i+\")\";if(t instanceof u){const e=t.getSvg().cloneNode(!0);if(e.childNodes&&e.childNodes.length>1){const t=r(e)[0];for(;t.childNodes.length;){const e=r(t)[0].getAttribute(\"id\");this.__ids[e]=e,this.__defs.appendChild(r(t)[0])}const s=r(e)[1];if(s){const t=s.getAttribute(\"transform\");let e;e=t?t+\" \"+d:d,s.setAttribute(\"transform\",e),_.appendChild(s)}}}else if(t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__createElement(\"image\");if(e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\"),o||l||h!==t.width||c!==t.height){const e=this.__document.createElement(\"canvas\");e.width=n,e.height=a,e.getContext(\"2d\").drawImage(t,o,l,h,c,0,0,n,a),t=e}e.setAttribute(\"transform\",d);const s=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",s),_.appendChild(e)}else if(t instanceof HTMLCanvasElement){const e=this.__createElement(\"image\");e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\");const s=this.__document.createElement(\"canvas\");s.width=n,s.height=a;const i=s.getContext(\"2d\");i.imageSmoothingEnabled=!1,i.drawImage(t,o,l,h,c,0,0,n,a),t=s,e.setAttribute(\"transform\",d),e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.toDataURL()),_.appendChild(e)}}createPattern(t,e){const s=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),i=n(this.__ids);let r;if(s.setAttribute(\"id\",i),s.setAttribute(\"width\",\"\"+t.width),s.setAttribute(\"height\",\"\"+t.height),t instanceof HTMLCanvasElement||t instanceof HTMLImageElement||t instanceof SVGImageElement){r=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\"),r.setAttribute(\"width\",\"\"+t.width),r.setAttribute(\"height\",\"\"+t.height);const e=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");r.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",e),s.appendChild(r),this.__defs.appendChild(s)}else t instanceof u&&(s.appendChild(t.__root.childNodes[1]),this.__defs.appendChild(s));return new _(s,this)}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}}s.SVGRenderingContext2D=u,u.__name__=\"SVGRenderingContext2D\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(185),_=e(121),n=e(130),r=e(131),i=e(186),g=e(90),c=e(188);class h extends c.LayoutItem{constructor(e,t,s,a,_={},n={}){super(),this.x_scale=e,this.y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=n,this._configure_scales()}map_to_screen(e,t,s=\"default\",a=\"default\"){return[this.xscales[s].v_compute(e),this.yscales[a].v_compute(t)]}_get_ranges(e,t){return Object.assign(Object.assign({},t),{default:e})}_get_scales(e,t,s){const c={};for(const h in t){const o=t[h];if((o instanceof i.DataRange1d||o instanceof r.Range1d)&&!(e instanceof _.ContinuousScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);if(o instanceof g.FactorRange&&!(e instanceof a.CategoricalScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&o instanceof i.DataRange1d&&(o.scale_hint=\"log\");const l=e.clone();l.setv({source_range:o,target_range:s}),c[h]=l}return c}_configure_frame_ranges(){this._h_target=new r.Range1d({start:this._left.value,end:this._right.value}),this._v_target=new r.Range1d({start:this._bottom.value,end:this._top.value})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._xscales=this._get_scales(this.x_scale,this._x_ranges,this._h_target),this._yscales=this._get_scales(this.y_scale,this._y_ranges,this._v_target)}_update_scales(){this._configure_frame_ranges();for(const e in this._xscales){this._xscales[e].target_range=this._h_target}for(const e in this._yscales){this._yscales[e].target_range=this._v_target}}_set_geometry(e,t){super._set_geometry(e,t),this._update_scales()}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get xscales(){return this._xscales}get yscales(){return this._yscales}}s.CartesianFrame=h,h.__name__=\"CartesianFrame\"},\n      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(122);class _ extends n.Scale{constructor(e){super(e)}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}t.CategoricalScale=_,_.__name__=\"CategoricalScale\"},\n      function _(t,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=t(1),a=t(187),s=t(81),l=t(72),_=e.__importStar(t(18)),o=e.__importStar(t(88)),r=t(9);class h extends a.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}static init_DataRange1d(){this.define({start:[_.Number],end:[_.Number],range_padding:[_.Number,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[_.Boolean,!1],follow:[_.StartEnd],follow_interval:[_.Number],default_span:[_.Number,2],only_visible:[_.Boolean,!1]}),this.internal({scale_hint:[_.String,\"auto\"]})}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const t=this.names;let i=this.renderers;if(0==i.length)for(const t of this.plots){const n=t.renderers.filter(t=>t instanceof s.GlyphRenderer);i=i.concat(n)}t.length>0&&(i=i.filter(i=>r.includes(t,i.name))),l.logger.debug(`computed ${i.length} renderers for ${this}`);for(const t of i)l.logger.trace(\" - \"+t);return i}_compute_plot_bounds(t,i){let n=o.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=o.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=o.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return e<i*a?e=i*a:a=e/i,n.x1=s+.5*e,n.x0=s-.5*e,n.y1=l+.5*a,n.y0=l-.5*a,n}_compute_min_max(t,i){let n,e,a=o.empty();for(const i of t)a=o.union(a,i);return[n,e]=0==i?[a.x0,a.x1]:[a.y0,a.y1],[n,e]}_compute_range(t,i){const n=this.range_padding;let e,a;if(null!=this._initial_start&&(t=this._initial_start),null!=this._initial_end&&(i=this._initial_end),\"log\"==this.scale_hint){let s,_;if((isNaN(t)||!isFinite(t)||t<=0)&&(t=isNaN(i)||!isFinite(i)||i<=0?.1:i/100,l.logger.warn(\"could not determine minimum data value for log axis, DataRange1d using value \"+t)),(isNaN(i)||!isFinite(i)||i<=0)&&(i=isNaN(t)||!isFinite(t)||t<=0?10:100*t,l.logger.warn(\"could not determine maximum data value for log axis, DataRange1d using value \"+i)),i==t)_=this.default_span+.001,s=Math.log(t)/Math.log(10);else{let e,a;\"percent\"==this.range_padding_units?(e=Math.log(t)/Math.log(10),a=Math.log(i)/Math.log(10),_=(a-e)*(1+n)):(e=Math.log(t-n)/Math.log(10),a=Math.log(i+n)/Math.log(10),_=a-e),s=(e+a)/2}e=10**(s-_/2),a=10**(s+_/2)}else{let s;s=i==t?this.default_span:\"percent\"==this.range_padding_units?(i-t)*(1+n):i-t+2*n;const l=(i+t)/2;e=l-s/2,a=l+s/2}let s=1;this.flipped&&([e,a]=[a,e],s=-1);const _=this.follow_interval;return null!=_&&Math.abs(e-a)>_&&(\"start\"==this.follow?a=e+s*_:\"end\"==this.follow&&(e=a-s*_)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);const[h,d]=[this.start,this.end];if(o!=h||r!=d){const t={};o!=h&&(t.start=o),r!=d&&(t.end=r),this.setv(t)}\"auto\"==this.bounds&&this.setv({bounds:[o,r]},{silent:!0}),this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=h,h.__name__=\"DataRange1d\",h.init_DataRange1d()},\n      function _(e,a,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),r=e(91),s=n.__importStar(e(18));class _ extends r.Range{constructor(e){super(e)}static init_DataRange(){this.define({names:[s.Array,[]],renderers:[s.Array,[]]})}}t.DataRange=_,_.__name__=\"DataRange\",_.init_DataRange()},\n      function _(a,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=a(189);t.Sizeable=e.Sizeable;var r=a(190);t.Layoutable=r.Layoutable,t.LayoutItem=r.LayoutItem;var n=a(191);t.HStack=n.HStack,t.VStack=n.VStack,t.AnchorLayout=n.AnchorLayout;var u=a(192);t.Grid=u.Grid,t.Row=u.Row,t.Column=u.Column;var c=a(193);t.ContentBox=c.ContentBox,t.VariadicBox=c.VariadicBox},\n      function _(h,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const{min:e,max:w}=Math;class d{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new d({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new d({width:h!=1/0?w(this.width,h):this.width,height:t!=1/0?w(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=w(this.width,h),this.height=w(this.height,t)}narrowed_to({width:h,height:t}){return new d({width:e(this.width,h),height:e(this.height,t)})}narrow_to({width:h,height:t}){this.width=e(this.width,h),this.height=e(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,s=this.height+i+e;return new d({width:w,height:s})}shrink_by({left:h,right:t,top:i,bottom:e}){const s=w(this.width-h-t,0),n=w(this.height-i-e,0);return new d({width:s,height:n})}map(h,t){return new d({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=d,d.__name__=\"Sizeable\"},\n      function _(i,t,h){Object.defineProperty(h,\"__esModule\",{value:!0});const e=i(189),s=i(88),{min:n,max:g,round:a}=Math;class r{constructor(){this._bbox=new s.BBox,this._inner_bbox=new s.BBox;const i=this;this._top={get value(){return i.bbox.top}},this._left={get value(){return i.bbox.left}},this._width={get value(){return i.bbox.width}},this._height={get value(){return i.bbox.height}},this._right={get value(){return i.bbox.right}},this._bottom={get value(){return i.bbox.bottom}},this._hcenter={get value(){return i.bbox.hcenter}},this._vcenter={get value(){return i.bbox.vcenter}}}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set_sizing(i){const t=i.width_policy||\"fit\",h=i.width,e=null!=i.min_width?i.min_width:0,s=null!=i.max_width?i.max_width:1/0,n=i.height_policy||\"fit\",g=i.height,a=null!=i.min_height?i.min_height:0,r=null!=i.max_height?i.max_height:1/0,l=i.aspect,_=i.margin||{top:0,right:0,bottom:0,left:0},d=!1!==i.visible,o=i.halign||\"start\",u=i.valign||\"start\";this._sizing={width_policy:t,min_width:e,width:h,max_width:s,height_policy:n,min_height:a,height:g,max_height:r,aspect:l,margin:_,visible:d,halign:o,valign:u,size:{width:h,height:g},min_size:{width:e,height:a},max_size:{width:s,height:r}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,t||i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:s,height_policy:n}=this.sizing,g=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=s&&\"fixed\"!=n)if(s==n){const s=t,n=a(t/e),g=a(h*e),r=h;Math.abs(i.width-s)+Math.abs(i.height-n)<=Math.abs(i.width-g)+Math.abs(i.height-r)?(t=s,h=n):(t=g,h=r)}else g(s,n)?h=a(t/e):t=a(h*e);else\"fixed\"==s?h=a(t/e):\"fixed\"==n&&(t=a(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,s=new e.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(s),g=this.clip_size(n),a=t(g.width),r=h(g.height),l=this.apply_aspect(s,{width:a,height:r});return Object.assign(Object.assign({},n),l)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new s.BBox({left:0,top:0,width:h,height:e});let g=void 0;if(null!=t.inner){const{left:i,top:n,right:a,bottom:r}=t.inner;g=new s.BBox({left:i,top:n,right:h-a,bottom:e-r})}this.set_geometry(n,g)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_width(i){return g(this.sizing.min_width,n(i,this.sizing.max_width))}clip_height(i){return g(this.sizing.min_height,n(i,this.sizing.max_height))}clip_size({width:i,height:t}){return{width:this.clip_width(i),height:this.clip_height(t)}}}h.Layoutable=r,r.__name__=\"Layoutable\";class l extends r{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;let e,s;if(i.width==1/0)e=null!=this.sizing.width?this.sizing.width:0;else switch(t){case\"fixed\":e=null!=this.sizing.width?this.sizing.width:0;break;case\"min\":e=null!=this.sizing.width?n(i.width,this.sizing.width):0;break;case\"fit\":e=null!=this.sizing.width?n(i.width,this.sizing.width):i.width;break;case\"max\":e=null!=this.sizing.width?g(i.width,this.sizing.width):i.width}if(i.height==1/0)s=null!=this.sizing.height?this.sizing.height:0;else switch(h){case\"fixed\":s=null!=this.sizing.height?this.sizing.height:0;break;case\"min\":s=null!=this.sizing.height?n(i.height,this.sizing.height):0;break;case\"fit\":s=null!=this.sizing.height?n(i.height,this.sizing.height):i.height;break;case\"max\":s=null!=this.sizing.height?g(i.height,this.sizing.height):i.height}return{width:e,height:s}}}h.LayoutItem=l,l.__name__=\"LayoutItem\";class _ extends r{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=_,_.__name__=\"ContentLayoutable\"},\n      function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const o=t(190),r=t(88);class i extends o.Layoutable{constructor(){super(...arguments),this.children=[]}}h.Stack=i,i.__name__=\"Stack\";class s extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e+=o.width,h=Math.max(h,o.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{top:h,bottom:o}=t;let{left:i}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({left:i,width:e,top:h,bottom:o})),i+=e}}}h.HStack=s,s.__name__=\"HStack\";class n extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e=Math.max(e,o.width),h+=o.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{left:h,right:o}=t;let{top:i}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({top:i,height:e,left:h,right:o})),i+=e}}}h.VStack=n,n.__name__=\"VStack\";class c extends o.Layoutable{constructor(){super(...arguments),this.children=[]}_measure(t){let e=0,h=0;for(const{layout:o}of this.children){const r=o.measure(t);e=Math.max(e,r.width),h=Math.max(h,r.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);for(const{layout:e,anchor:h,margin:o}of this.children){const{left:i,right:s,top:n,bottom:c,hcenter:a,vcenter:_}=t,{width:g,height:d}=e.measure(t);let m;switch(h){case\"top_left\":m=new r.BBox({left:i+o,top:n+o,width:g,height:d});break;case\"top_center\":m=new r.BBox({hcenter:a,top:n+o,width:g,height:d});break;case\"top_right\":m=new r.BBox({right:s-o,top:n+o,width:g,height:d});break;case\"bottom_right\":m=new r.BBox({right:s-o,bottom:c-o,width:g,height:d});break;case\"bottom_center\":m=new r.BBox({hcenter:a,bottom:c-o,width:g,height:d});break;case\"bottom_left\":m=new r.BBox({left:i+o,bottom:c-o,width:g,height:d});break;case\"center_left\":m=new r.BBox({left:i+o,vcenter:_,width:g,height:d});break;case\"center\":m=new r.BBox({hcenter:a,vcenter:_,width:g,height:d});break;case\"center_right\":m=new r.BBox({right:s-o,vcenter:_,width:g,height:d})}e.set_geometry(m)}}}h.AnchorLayout=c,c.__name__=\"AnchorLayout\"},\n      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(189),o=t(190),n=t(8),r=t(88),h=t(9),{max:l,round:c}=Math;class a{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}a.__name__=\"DefaultMap\";class g{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=l(this._nrows,s+1),this._ncols=l(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter(({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1).map(({data:t})=>t)}row(t){return this._items.filter(({span:i})=>i.r0<=t&&t<=i.r1).map(({data:t})=>t)}col(t){return this._items.filter(({span:i})=>i.c0<=t&&t<=i.c1).map(({data:t})=>t)}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new g;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}g.__name__=\"Container\";class p extends o.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0,this.absolute=!1}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}_init(){super._init();const t=new g;for(const{layout:i,row:s,col:e,row_span:o,col_span:n}of this.items)if(i.sizing.visible){const r=s,h=e,l=s+(null!=o?o:1)-1,c=e+(null!=n?n:1)-1;t.add({r0:r,c0:h,r1:l,c1:c},i)}const{nrows:i,ncols:s}=t,e=new Array(i);for(let s=0;s<i;s++){const i=(()=>{const t=n.isPlainObject(this.rows)?this.rows[s]||this.rows[\"*\"]:this.rows;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",height:t}:n.isString(t)?{policy:t}:t})(),o=i.align||\"auto\";if(\"fixed\"==i.policy)e[s]={policy:\"fixed\",height:i.height,align:o};else if(\"min\"==i.policy)e[s]={policy:\"min\",align:o};else if(\"fit\"==i.policy||\"max\"==i.policy)e[s]={policy:i.policy,flex:i.flex||1,align:o};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");h.some(t.row(s),t=>t.is_height_expanding())?e[s]={policy:\"max\",flex:1,align:o}:e[s]={policy:\"min\",align:o}}}const o=new Array(s);for(let i=0;i<s;i++){const s=(()=>{const t=n.isPlainObject(this.cols)?this.cols[i]||this.cols[\"*\"]:this.cols;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",width:t}:n.isString(t)?{policy:t}:t})(),e=s.align||\"auto\";if(\"fixed\"==s.policy)o[i]={policy:\"fixed\",width:s.width,align:e};else if(\"min\"==s.policy)o[i]={policy:\"min\",align:e};else if(\"fit\"==s.policy||\"max\"==s.policy)o[i]={policy:s.policy,flex:s.flex||1,align:e};else{if(\"auto\"!=s.policy)throw new Error(\"unrechable\");h.some(t.col(i),t=>t.is_width_expanding())?o[i]={policy:\"max\",flex:1,align:e}:o[i]={policy:\"min\",align:e}}}const[r,l]=n.isNumber(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:t,nrows:i,ncols:s,rows:e,cols:o,rspacing:r,cspacing:l}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:h.sum(t)+(s-1)*o,width:h.sum(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:o,rows:n,cols:r,rspacing:h,cspacing:a}=this._state,p=new Array(s);for(let t=0;t<s;t++){const i=n[t];p[t]=\"fixed\"==i.policy?i.height:0}const _=new Array(o);for(let t=0;t<o;t++){const i=r[t];_[t]=\"fixed\"==i.policy?i.width:0}const f=new g;return i.foreach((i,s)=>{const{r0:o,c0:g,r1:d,c1:w}=i,u=(d-o)*h,m=(w-g)*a;let y=0;for(let i=o;i<=d;i++)y+=t(i,g).height;y+=u;let x=0;for(let i=g;i<=w;i++)x+=t(o,i).width;x+=m;const b=s.measure({width:x,height:y});f.add(i,{layout:s,size_hint:b});const z=new e.Sizeable(b).grow_by(s.sizing.margin);z.height-=u,z.width-=m;const j=[];for(let t=o;t<=d;t++){const i=n[t];\"fixed\"==i.policy?z.height-=i.height:j.push(t)}if(z.height>0){const t=c(z.height/j.length);for(const i of j)p[i]=l(p[i],t)}const O=[];for(let t=g;t<=w;t++){const i=r[t];\"fixed\"==i.policy?z.width-=i.width:O.push(t)}if(z.width>0){const t=c(z.width/O.length);for(const i of O)_[i]=l(_[i],t)}}),{size:this._measure_totals(p,_),row_heights:p,col_widths:_,size_hints:f}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:r}=this._state,h=this._measure_cells((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}});let a;a=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:h.size.height;let g,p=0;for(let t=0;t<i;t++){const i=e[t];\"fit\"==i.policy||\"max\"==i.policy?p+=i.flex:a-=h.row_heights[t]}if(a-=(i-1)*n,0!=p&&a>0)for(let t=0;t<i;t++){const i=e[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(a*(i.flex/p));a-=s,h.row_heights[t]=s,p-=i.flex}}else if(a<0){let t=0;for(let s=0;s<i;s++){\"fixed\"!=e[s].policy&&t++}let s=-a;for(let o=0;o<i;o++){if(\"fixed\"!=e[o].policy){const i=h.row_heights[o],e=c(s/t);h.row_heights[o]=l(i-e,0),s-=e>i?i:e,t--}}}g=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:h.size.width;let _=0;for(let t=0;t<s;t++){const i=o[t];\"fit\"==i.policy||\"max\"==i.policy?_+=i.flex:g-=h.col_widths[t]}if(g-=(s-1)*r,0!=_&&g>0)for(let t=0;t<s;t++){const i=o[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(g*(i.flex/_));g-=s,h.col_widths[t]=s,_-=i.flex}}else if(g<0){let t=0;for(let i=0;i<s;i++){\"fixed\"!=o[i].policy&&t++}let i=-g;for(let e=0;e<s;e++){if(\"fixed\"!=o[e].policy){const s=h.col_widths[e],o=c(i/t);h.col_widths[e]=l(s-o,0),i-=o>s?s:o,t--}}}const{row_heights:f,col_widths:d,size_hints:w}=this._measure_cells((t,i)=>({width:h.col_widths[i],height:h.row_heights[t]}));return{size:this._measure_totals(f,d),row_heights:f,col_widths:d,size_hints:w}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:h,col_widths:g,size_hints:p}=this._measure_grid(t),_=this._state.rows.map((t,i)=>Object.assign(Object.assign({},t),{top:0,height:h[i],get bottom(){return this.top+this.height}})),f=this._state.cols.map((t,i)=>Object.assign(Object.assign({},t),{left:0,width:g[i],get right(){return this.left+this.width}})),d=p.map((t,i)=>Object.assign(Object.assign({},i),{outer:new r.BBox,inner:new r.BBox}));for(let i=0,e=this.absolute?t.top:0;i<s;i++){const t=_[i];t.top=e,e+=t.height+o}for(let i=0,s=this.absolute?t.left:0;i<e;i++){const t=f[i];t.left=s,s+=t.width+n}d.foreach(({r0:t,c0:i,r1:s,c1:e},h)=>{const{layout:l,size_hint:a}=h,{sizing:g}=l,{width:p,height:d}=a,w=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=f[e].width;return s}(i,e),u=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=_[e].height;return s}(t,s),m=i==e&&\"auto\"!=f[i].align?f[i].align:g.halign,y=t==s&&\"auto\"!=_[t].align?_[t].align:g.valign;let x=f[i].left;\"start\"==m?x+=g.margin.left:\"center\"==m?x+=c((w-p)/2):\"end\"==m&&(x+=w-g.margin.right-p);let b=_[t].top;\"start\"==y?b+=g.margin.top:\"center\"==y?b+=c((u-d)/2):\"end\"==y&&(b+=u-g.margin.bottom-d),h.outer=new r.BBox({left:x,top:b,width:p,height:d})});const w=_.map(()=>({start:new a(()=>0),end:new a(()=>0)})),u=f.map(()=>({start:new a(()=>0),end:new a(()=>0)}));d.foreach(({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:r}=o;null!=r&&(w[t].start.apply(n.top,t=>l(t,r.top)),w[s].end.apply(_[s].bottom-n.bottom,t=>l(t,r.bottom)),u[i].start.apply(n.left,t=>l(t,r.left)),u[e].end.apply(f[e].right-n.right,t=>l(t,r.right)))}),d.foreach(({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:h}=o;function l({left:t,right:i,top:s,bottom:e}){const o=h.width-t-i,n=h.height-s-e;return new r.BBox({left:t,top:s,width:o,height:n})}if(null!=n.inner){let r=l(n.inner);if(!1!==n.align){const o=w[t].start.get(h.top),n=w[s].end.get(_[s].bottom-h.bottom),c=u[i].start.get(h.left),a=u[e].end.get(f[e].right-h.right);try{r=l({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=r}else o.inner=h}),d.foreach((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)})}}s.Grid=p,p.__name__=\"Grid\";class _ extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:0,col:i})),this.rows=\"fit\"}}s.Row=_,_.__name__=\"Row\";class f extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:i,col:0})),this.cols=\"fit\"}}s.Column=f,f.__name__=\"Column\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(190),i=e(189),a=e(68);class c extends n.ContentLayoutable{constructor(e){super(),this.content_size=a.unsized(e,()=>new i.Sizeable(a.size(e)))}_content_size(){return this.content_size}}s.ContentBox=c,c.__name__=\"ContentBox\";class o extends n.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new i.Sizeable(e).bounded_to(this.sizing.size);return a.sized(this.el,t,()=>{const e=new i.Sizeable(a.content_size(this.el)),{border:t,padding:s}=a.extents(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)})}}s.VariadicBox=o,o.__name__=\"VariadicBox\";class r extends o{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=r,r.__name__=\"CachedVariadicBox\"},\n      function _(e,r,u){Object.defineProperty(u,\"__esModule\",{value:!0});var a=e(195);u.Expression=a.Expression;var n=e(196);u.Stack=n.Stack;var o=e(197);u.CumSum=o.CumSum},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(71);class i extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}v_compute(e){this._connected.has(e)||(this.connect(e.change,()=>this._result.delete(e)),this.connect(e.patching,()=>this._result.delete(e)),this.connect(e.streaming,()=>this._result.delete(e)),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=i,i.__name__=\"Expression\"},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),o=t(195),r=i.__importStar(t(18));class s extends o.Expression{constructor(t){super(t)}static init_Stack(){this.define({fields:[r.Array,[]]})}_v_compute(t){var e;const n=null!==(e=t.get_length())&&void 0!==e?e:0,i=new Float64Array(n);for(const e of this.fields){const o=t.data[e];if(null!=o)for(let t=0,e=Math.min(n,o.length);t<e;t++)i[t]+=o[t]}return i}}n.Stack=s,s.__name__=\"Stack\",s.init_Stack()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),u=e(195),o=i.__importStar(e(18));class r extends u.Expression{constructor(e){super(e)}static init_CumSum(){this.define({field:[o.String],include_zero:[o.Boolean,!1]})}_v_compute(e){const t=new Float64Array(e.get_length()||0),n=e.data[this.field],i=this.include_zero?1:0;t[0]=this.include_zero?0:n[0];for(let e=1;e<t.length;e++)t[e]=t[e-1]+n[e-i];return t}}n.CumSum=r,r.__name__=\"CumSum\",r.init_CumSum()},\n      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});var l=e(199);t.BooleanFilter=l.BooleanFilter;var i=e(201);t.CustomJSFilter=i.CustomJSFilter;var o=e(200);t.Filter=o.Filter;var F=e(202);t.GroupFilter=F.GroupFilter;var a=e(203);t.IndexFilter=a.IndexFilter},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(200),i=o.__importStar(e(18)),r=e(72),a=e(9),s=e(8);class g extends l.Filter{constructor(e){super(e)}static init_BooleanFilter(){this.define({booleans:[i.Array,null]})}compute_indices(e){const n=this.booleans;return null!=n&&n.length>0?a.every(n,s.isBoolean)?(n.length!==e.get_length()&&r.logger.warn(this+\": length of booleans doesn't match data source\"),a.range(0,n.length).filter(e=>!0===n[e])):(r.logger.warn(this+\": booleans should be array of booleans, defaulting to no filtering\"),null):(null!=n&&0==n.length?r.logger.warn(this+\": booleans is empty, defaulting to no filtering\"):r.logger.warn(this+\": booleans was not set, defaulting to no filtering\"),null)}}t.BooleanFilter=g,g.__name__=\"BooleanFilter\",g.init_BooleanFilter()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),l=i.__importStar(e(18)),o=e(8),s=e(9),a=e(72);class f extends n.Model{constructor(e){super(e)}static init_Filter(){this.define({filter:[l.Array,null]})}compute_indices(e){const t=this.filter;return null!=t?o.isArrayOf(t,o.isBoolean)?s.range(0,t.length).filter(e=>!0===t[e]):o.isArrayOf(t,o.isInteger)?t:(a.logger.warn(this+\": filter should either be array of only booleans or only integers, defaulting to no filtering\"),null):(a.logger.warn(this+\": filter was not set to be an array, defaulting to no filtering\"),null)}}r.Filter=f,f.__name__=\"Filter\",f.init_Filter()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),r=t(200),n=i.__importStar(t(18)),u=t(17),c=t(24);class o extends r.Filter{constructor(t){super(t)}static init_CustomJSFilter(){this.define({args:[n.Any,{}],code:[n.String,\"\"]})}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const t=c.use_strict(this.code);return new Function(...this.names,\"source\",t)}compute_indices(t){return this.filter=this.func(...this.values,t),super.compute_indices(t)}}s.CustomJSFilter=o,o.__name__=\"CustomJSFilter\",o.init_CustomJSFilter()},\n      function _(t,n,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),r=t(200),o=e.__importStar(t(18)),u=t(72),l=t(9);class s extends r.Filter{constructor(t){super(t),this.indices=null}static init_GroupFilter(){this.define({column_name:[o.String],group:[o.String]})}compute_indices(t){const n=t.get_column(this.column_name);return null==n?(u.logger.warn(\"group filter: groupby column not found in data source\"),null):(this.indices=l.range(0,t.get_length()||0).filter(t=>n[t]===this.group),0===this.indices.length&&u.logger.warn(`group filter: group '${this.group}' did not match any values in column '${this.column_name}'`),this.indices)}}i.GroupFilter=s,s.__name__=\"GroupFilter\",s.init_GroupFilter()},\n      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),r=e(200),s=t.__importStar(e(18)),l=e(72),d=e(8),o=e(9);class c extends r.Filter{constructor(e){super(e)}static init_IndexFilter(){this.define({indices:[s.Array,null]})}compute_indices(e){return null!=this.indices?o.every(this.indices,d.isInteger)?this.indices:(l.logger.warn(this+\": indices should be array of integers, defaulting to no filtering\"),null):(l.logger.warn(this+\": indices was not set, defaulting to no filtering\"),null)}}n.IndexFilter=c,c.__name__=\"IndexFilter\",c.init_IndexFilter()},\n      function _(r,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});var e=r(113);a.BasicTickFormatter=e.BasicTickFormatter;var c=r(154);a.CategoricalTickFormatter=c.CategoricalTickFormatter;var i=r(158);a.DatetimeTickFormatter=i.DatetimeTickFormatter;var o=r(205);a.FuncTickFormatter=o.FuncTickFormatter;var m=r(171);a.LogTickFormatter=m.LogTickFormatter;var F=r(174);a.MercatorTickFormatter=F.MercatorTickFormatter;var k=r(206);a.NumeralTickFormatter=k.NumeralTickFormatter;var T=r(207);a.PrintfTickFormatter=T.PrintfTickFormatter;var v=r(114);a.TickFormatter=v.TickFormatter},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),s=t(114),i=r.__importStar(t(18)),c=t(17),a=t(24);class u extends s.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map((t,e,r)=>n(t,e,r,...this.values))}}n.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n      function _(r,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=r(1),o=e.__importStar(r(161)),a=r(114),i=e.__importStar(r(18));class u extends a.TickFormatter{constructor(r){super(r)}static init_NumeralTickFormatter(){this.define({format:[i.String,\"0,0\"],language:[i.String,\"en\"],rounding:[i.RoundingFunction,\"round\"]})}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,t){const{format:n,language:e,_rounding_fn:a}=this;return r.map(r=>o.format(r,n,e,a))}}n.NumeralTickFormatter=u,u.__name__=\"NumeralTickFormatter\",u.init_NumeralTickFormatter()},\n      function _(t,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),n=t(114),o=t(160),a=e.__importStar(t(18));class c extends n.TickFormatter{constructor(t){super(t)}static init_PrintfTickFormatter(){this.define({format:[a.String,\"%s\"]})}doFormat(t,r){return t.map(t=>o.sprintf(this.format,t))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var v=a(209);r.AnnularWedge=v.AnnularWedge;var l=a(210);r.Annulus=l.Annulus;var t=a(211);r.Arc=t.Arc;var i=a(212);r.Bezier=i.Bezier;var n=a(213);r.Circle=n.Circle;var u=a(214);r.CenterRotatable=u.CenterRotatable;var c=a(215);r.Ellipse=c.Ellipse;var g=a(216);r.EllipseOval=g.EllipseOval;var A=a(89);r.Glyph=A.Glyph;var p=a(95);r.HArea=p.HArea;var s=a(217);r.HBar=s.HBar;var d=a(219);r.HexTile=d.HexTile;var R=a(220);r.Image=R.Image;var o=a(222);r.ImageRGBA=o.ImageRGBA;var y=a(223);r.ImageURL=y.ImageURL;var h=a(83);r.Line=h.Line;var m=a(225);r.MultiLine=m.MultiLine;var B=a(226);r.MultiPolygons=B.MultiPolygons;var P=a(227);r.Oval=P.Oval;var G=a(94);r.Patch=G.Patch;var H=a(228);r.Patches=H.Patches;var I=a(229);r.Quad=I.Quad;var L=a(230);r.Quadratic=L.Quadratic;var M=a(231);r.Ray=M.Ray;var O=a(232);r.Rect=O.Rect;var x=a(233);r.Segment=x.Segment;var C=a(234);r.Step=C.Step;var E=a(235);r.Text=E.Text;var Q=a(97);r.VArea=Q.VArea;var S=a(236);r.VBar=S.VBar;var T=a(237);r.Wedge=T.Wedge;var V=a(84);r.XYGlyph=V.XYGlyph},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),o=e(10),h=e(79);class u extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius,this._angle=new Float32Array(this._start_angle.length);for(let e=0,t=this._start_angle.length;e<t;e++)this._angle[e]=this._end_angle[e]-this._start_angle[e]}_render(e,t,{sx:s,sy:i,_start_angle:r,_angle:n,sinner_radius:a,souter_radius:_}){const o=this.model.properties.direction.value();for(const h of t)isNaN(s[h]+i[h]+a[h]+_[h]+r[h]+n[h])||(e.translate(s[h],i[h]),e.rotate(r[h]),e.moveTo(_[h],0),e.beginPath(),e.arc(0,0,_[h],0,n[h],o),e.rotate(n[h]),e.lineTo(a[h],0),e.arc(0,0,a[h],0,-n[h],!o),e.closePath(),e.rotate(-n[h]-r[h]),e.translate(-s[h],-i[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,h),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,h),e.stroke()))}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,a,_,u;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,_=i+this.max_outer_radius,a=r-this.max_outer_radius,u=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,_]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,o=s+this.max_outer_radius;[a,u]=this.renderer.yscale.r_invert(r,o)}const d=[];for(const e of this.index.indices({x0:n,x1:_,y0:a,y1:u})){const t=this.souter_radius[e]**2,s=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[_,o]=this.renderer.yscale.r_compute(r,this._y[e]),h=(n-a)**2+(_-o)**2;h<=t&&h>=s&&d.push([e,h])}const l=this.model.properties.direction.value(),c=[];for(const[e,i]of d){const r=Math.atan2(s-this.sy[e],t-this.sx[e]);o.angle_between(-r,-this._start_angle[e],-this._end_angle[e],l)&&c.push([e,i])}return h.Selection.from_hits(c)}draw_legend_for_index(e,t,s){n.generic_area_legend(this.visuals,e,t,s)}_scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+t*Math.cos(s),y:this.sy[e]+t*Math.sin(s)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}s.AnnularWedgeView=u,u.__name__=\"AnnularWedgeView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=u,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],inner_radius:[_.DistanceSpec],outer_radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.AnnularWedge=d,d.__name__=\"AnnularWedge\",d.init_AnnularWedge()},\n      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(18)),_=s(28),u=s(79);class o extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius}_render(s,i,{sx:e,sy:t,sinner_radius:r,souter_radius:a}){for(const n of i)if(!isNaN(e[n]+t[n]+r[n]+a[n])){if(this.visuals.fill.doit){if(this.visuals.fill.set_vectorize(s,n),s.beginPath(),_.is_ie)for(const i of[!1,!0])s.arc(e[n],t[n],r[n],0,Math.PI,i),s.arc(e[n],t[n],a[n],Math.PI,0,!i);else s.arc(e[n],t[n],r[n],0,2*Math.PI,!0),s.arc(e[n],t[n],a[n],2*Math.PI,0,!1);s.fill()}this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),s.beginPath(),s.arc(e[n],t[n],r[n],0,2*Math.PI),s.moveTo(e[n]+a[n],t[n]),s.arc(e[n],t[n],a[n],0,2*Math.PI),s.stroke())}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,_,o;if(\"data\"==this.model.properties.outer_radius.units)a=t-this.max_outer_radius,_=t+this.max_outer_radius,n=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const s=i-this.max_outer_radius,t=i+this.max_outer_radius;[a,_]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_outer_radius,u=e+this.max_outer_radius;[n,o]=this.renderer.yscale.r_invert(r,u)}const h=[];for(const s of this.index.indices({x0:a,x1:_,y0:n,y1:o})){const i=this.souter_radius[s]**2,e=this.sinner_radius[s]**2,[a,n]=this.renderer.xscale.r_compute(t,this._x[s]),[_,u]=this.renderer.yscale.r_compute(r,this._y[s]),o=(a-n)**2+(_-u)**2;o<=i&&o>=e&&h.push([s,o])}return u.Selection.from_hits(h)}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,_=new Array(n);_[a]=(i+t)/2;const u=new Array(n);u[a]=(e+r)/2;const o=.5*Math.min(Math.abs(t-i),Math.abs(r-e)),h=new Array(n);h[a]=.4*o;const d=new Array(n);d[a]=.8*o,this._render(s,[a],{sx:_,sy:u,sinner_radius:h,souter_radius:d})}}e.AnnulusView=o,o.__name__=\"AnnulusView\";class h extends r.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=o,this.mixins([a.LineVector,a.FillVector]),this.define({inner_radius:[n.DistanceSpec],outer_radius:[n.DistanceSpec]})}}e.Annulus=h,h.__name__=\"Annulus\",h.init_Annulus()},\n      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(1),r=e(84),n=e(92),a=e(23),_=t.__importStar(e(18));class c extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,i,{sx:s,sy:t,sradius:r,_start_angle:n,_end_angle:a}){if(this.visuals.line.doit){const _=this.model.properties.direction.value();for(const c of i)isNaN(s[c]+t[c]+r[c]+n[c]+a[c])||(e.beginPath(),e.arc(s[c],t[c],r[c],n[c],a[c],_),this.visuals.line.set_vectorize(e,c),e.stroke())}}draw_legend_for_index(e,i,s){n.generic_line_legend(this.visuals,e,i,s)}}s.ArcView=c,c.__name__=\"ArcView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=c,this.mixins(a.LineVector),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.Arc=d,d.__name__=\"Arc\",d.init_Arc()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),n=t(85),c=t(89),o=t(92);function r(t,e,i,s,n,c,o,r){const h=[],_=[[],[]];for(let _=0;_<=2;_++){let a,x,l;if(0===_?(x=6*t-12*i+6*n,a=-3*t+9*i-9*n+3*o,l=3*i-3*t):(x=6*e-12*s+6*c,a=-3*e+9*s-9*c+3*r,l=3*s-3*e),Math.abs(a)<1e-12){if(Math.abs(x)<1e-12)continue;const t=-l/x;0<t&&t<1&&h.push(t);continue}const y=x*x-4*l*a,u=Math.sqrt(y);if(y<0)continue;const d=(-x+u)/(2*a);0<d&&d<1&&h.push(d);const f=(-x-u)/(2*a);0<f&&f<1&&h.push(f)}let a=h.length;const x=a;for(;a--;){const x=h[a],l=1-x,y=l*l*l*t+3*l*l*x*i+3*l*x*x*n+x*x*x*o;_[0][a]=y;const u=l*l*l*e+3*l*l*x*s+3*l*x*x*c+x*x*x*r;_[1][a]=u}return _[0][x]=t,_[1][x]=e,_[0][x+1]=o,_[1][x+1]=r,[Math.min(..._[0]),Math.max(..._[1]),Math.max(..._[0]),Math.min(..._[1])]}class h extends c.GlyphView{_index_data(){const t=[];for(let e=0,i=this._x0.length;e<i;e++){if(isNaN(this._x0[e]+this._x1[e]+this._y0[e]+this._y1[e]+this._cx0[e]+this._cy0[e]+this._cx1[e]+this._cy1[e]))continue;const[i,s,n,c]=r(this._x0[e],this._y0[e],this._x1[e],this._y1[e],this._cx0[e],this._cy0[e],this._cx1[e],this._cy1[e]);t.push({x0:i,y0:s,x1:n,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sx0:i,sy0:s,sx1:n,sy1:c,scx0:o,scy0:r,scx1:h,scy1:_}){if(this.visuals.line.doit)for(const a of e)isNaN(i[a]+s[a]+n[a]+c[a]+o[a]+r[a]+h[a]+_[a])||(t.beginPath(),t.moveTo(i[a],s[a]),t.bezierCurveTo(o[a],r[a],h[a],_[a],n[a],c[a]),this.visuals.line.set_vectorize(t,a),t.stroke())}draw_legend_for_index(t,e,i){o.generic_line_legend(this.visuals,t,e,i)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}i.BezierView=h,h.__name__=\"BezierView\";class _ extends c.Glyph{constructor(t){super(t)}static init_Bezier(){this.prototype.default_view=h,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx0\",\"cy0\"],[\"cx1\",\"cy1\"]]),this.mixins(s.LineVector)}}i.Bezier=_,_.__name__=\"Bezier\",_.init_Bezier()},\n      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(93)),h=t.__importStar(s(18)),d=s(9),_=s(12),l=s(79);class c extends r.XYGlyphView{_map_data(){if(null!=this._radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this._radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.max(s,i[e]));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.min(s,i[e]));break}}else this.sradius=this._radius,this.max_size=2*this.max_radius;else this.sradius=_.map(this._size,s=>s/2)}_mask_data(){const[s,i]=this.renderer.plot_view.frame.bbox.ranges;let e,t,r,a;if(null!=this._radius&&\"data\"==this.model.properties.radius.units){const n=s.start,h=s.end;[e,r]=this.renderer.xscale.r_invert(n,h),e-=this.max_radius,r+=this.max_radius;const d=i.start,_=i.end;[t,a]=this.renderer.yscale.r_invert(d,_),t-=this.max_radius,a+=this.max_radius}else{const n=s.start-this.max_size,h=s.end+this.max_size;[e,r]=this.renderer.xscale.r_invert(n,h);const d=i.start-this.max_size,_=i.end+this.max_size;[t,a]=this.renderer.yscale.r_invert(d,_)}return this.index.indices({x0:e,x1:r,y0:t,y1:a})}_render(s,i,{sx:e,sy:t,sradius:r}){for(const a of i)isNaN(e[a]+t[a]+r[a])||(s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,a),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.stroke()))}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,h,d;if(null!=this._radius&&\"data\"==this.model.properties.radius.units)a=t-this.max_radius,n=t+this.max_radius,h=r-this.max_radius,d=r+this.max_radius;else{const s=i-this.max_size,t=i+this.max_size;[a,n]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size,_=e+this.max_size;[h,d]=this.renderer.yscale.r_invert(r,_)}const _=this.index.indices({x0:a,x1:n,y0:h,y1:d}),c=[];if(null!=this._radius&&\"data\"==this.model.properties.radius.units)for(const s of _){const i=this.sradius[s]**2,[e,a]=this.renderer.xscale.r_compute(t,this._x[s]),[n,h]=this.renderer.yscale.r_compute(r,this._y[s]),d=(e-a)**2+(n-h)**2;d<=i&&c.push([s,d])}else for(const s of _){const t=this.sradius[s]**2,r=(this.sx[s]-i)**2+(this.sy[s]-e)**2;r<=t&&c.push([s,r])}return l.Selection.from_hits(c)}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=this.index.indices({x0:r,x1:a,y0:n,y1:h});return new l.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),_=this.index.indices({x0:a,x1:n,y0:h,y1:d});return new l.Selection({indices:_})}_hit_poly(s){const{sx:i,sy:e}=s,t=d.range(0,this.sx.length),r=[];for(let s=0,a=t.length;s<a;s++){const a=t[s];n.point_in_poly(this.sx[s],this.sy[s],i,e)&&r.push(a)}return new l.Selection({indices:r})}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,h=new Array(n);h[a]=(i+t)/2;const d=new Array(n);d[a]=(e+r)/2;const _=new Array(n);_[a]=.2*Math.min(Math.abs(t-i),Math.abs(r-e)),this._render(s,[a],{sx:h,sy:d,sradius:_})}}e.CircleView=c,c.__name__=\"CircleView\";class o extends r.XYGlyph{constructor(s){super(s)}static init_Circle(){this.prototype.default_view=c,this.mixins([a.LineVector,a.FillVector]),this.define({angle:[h.AngleSpec,0],size:[h.DistanceSpec,{units:\"screen\",value:4}],radius:[h.DistanceSpec,void 0,{optional:!0}],radius_dimension:[h.RadiusDimension,\"x\"]})}}e.Circle=o,o.__name__=\"Circle\",o.init_Circle()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=e(1),i=e(84),l=e(23),s=a.__importStar(e(18));class c extends i.XYGlyphView{}n.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class o extends i.XYGlyph{constructor(e){super(e)}static init_CenterRotatable(){this.mixins([l.LineVector,l.FillVector]),this.define({angle:[s.AngleSpec,0],width:[s.DistanceSpec],height:[s.DistanceSpec]})}}n.CenterRotatable=o,o.__name__=\"CenterRotatable\",o.init_CenterRotatable()},\n      function _(e,l,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(216);class t extends s.EllipseOvalView{}i.EllipseView=t,t.__name__=\"EllipseView\";class _ extends s.EllipseOval{constructor(e){super(e)}static init_Ellipse(){this.prototype.default_view=t}}i.Ellipse=_,_.__name__=\"Ellipse\",_.init_Ellipse()},\n      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),h=t(214),r=e.__importStar(t(93)),a=t(79);class _ extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"):this.sw=this._width,\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"):this.sh=this._height}_render(t,s,{sx:i,sy:e,sw:h,sh:r,_angle:a}){for(const _ of s)isNaN(i[_]+e[_]+h[_]+r[_]+a[_])||(t.beginPath(),t.ellipse(i[_],e[_],h[_]/2,r[_]/2,a[_],0,2*Math.PI),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,_),t.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,_),t.stroke()))}_hit_point(t){let s,i,e,h,_,n,l,d,o,x;const{sx:m,sy:c}=t,w=this.renderer.xscale.invert(m),p=this.renderer.yscale.invert(c);\"data\"==this.model.properties.width.units?(s=w-this.max_width,i=w+this.max_width):(l=m-this.max_width,d=m+this.max_width,[s,i]=this.renderer.xscale.r_invert(l,d)),\"data\"==this.model.properties.height.units?(e=p-this.max_height,h=p+this.max_height):(o=c-this.max_height,x=c+this.max_height,[e,h]=this.renderer.yscale.r_invert(o,x));const y=this.index.indices({x0:s,x1:i,y0:e,y1:h}),u=[];for(const t of y)_=r.point_in_ellipse(m,c,this._angle[t],this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),_&&([l,d]=this.renderer.xscale.r_compute(w,this._x[t]),[o,x]=this.renderer.yscale.r_compute(p,this._y[t]),n=(l-d)**2+(o-x)**2,u.push([t,n]));return a.Selection.from_hits(u)}draw_legend_for_index(t,{x0:s,y0:i,x1:e,y1:h},r){const a=r+1,_=new Array(a);_[r]=(s+e)/2;const n=new Array(a);n[r]=(i+h)/2;const l=this.sw[r]/this.sh[r],d=.8*Math.min(Math.abs(e-s),Math.abs(h-i)),o=new Array(a),x=new Array(a);l>1?(o[r]=d,x[r]=d/l):(o[r]=d*l,x[r]=d),this._render(t,[r],{sx:_,sy:n,sw:o,sh:x,_angle:[0]})}_bounds({x0:t,x1:s,y0:i,y1:e}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:i-this.max_h2,y1:e+this.max_h2}}}i.EllipseOvalView=_,_.__name__=\"EllipseOvalView\";class n extends h.CenterRotatable{constructor(t){super(t)}}i.EllipseOval=n,n.__name__=\"EllipseOval\"},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class _ extends h.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return this.sy[t]}_index_data(){return this._index_box(this._y.length)}_lrtb(t){return[Math.min(this._left[t],this._right[t]),Math.max(this._left[t],this._right[t]),this._y[t]+.5*this._height[t],this._y[t]-.5*this._height[t]]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new Float64Array(t),this.sbottom=new Float64Array(t);for(let s=0;s<t;s++)this.stop[s]=this.sy[s]-this.sh[s]/2,this.sbottom[s]=this.sy[s]+this.sh[s]/2;this._clamp_viewport()}}e.HBarView=_,_.__name__=\"HBarView\";class a extends h.Box{constructor(t){super(t)}static init_HBar(){this.prototype.default_view=_,this.coords([[\"left\",\"y\"]]),this.define({height:[r.NumberSpec],right:[r.CoordinateSpec]}),this.override({left:0})}}e.HBar=a,a.__name__=\"HBar\",a.init_HBar()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),r=t(85),n=t(89),h=t(92),o=t(79);class a extends n.GlyphView{get_anchor_point(t,e,i){const s=Math.min(this.sleft[e],this.sright[e]),r=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),h=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:s,y:n};case\"top_center\":return{x:(s+r)/2,y:n};case\"top_right\":return{x:r,y:n};case\"bottom_left\":return{x:s,y:h};case\"bottom_center\":return{x:(s+r)/2,y:h};case\"bottom_right\":return{x:r,y:h};case\"center_left\":return{x:s,y:(n+h)/2};case\"center\":return{x:(s+r)/2,y:(n+h)/2};case\"center_right\":return{x:r,y:(n+h)/2};default:return null}}_index_box(t){const e=[];for(let i=0;i<t;i++){const[t,s,r,n]=this._lrtb(i);!isNaN(t+s+r+n)&&isFinite(t+s+r+n)&&e.push({x0:Math.min(t,s),y0:Math.min(r,n),x1:Math.max(s,t),y1:Math.max(r,n),i})}return new r.SpatialIndex(e)}_render(t,e,{sleft:i,sright:s,stop:r,sbottom:n}){for(const h of e)isNaN(i[h]+r[h]+s[h]+n[h])||(t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()),this.visuals.hatch.doit2(t,h,()=>{t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.stroke()))}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,i=this.stop.length;for(let s=0;s<i;s++)this.stop[s]=Math.max(this.stop[s],e.start),this.sbottom[s]=Math.min(this.sbottom[s],e.end),this.sleft[s]=Math.max(this.sleft[s],t.start),this.sright[s]=Math.min(this.sright[s],t.end)}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){const{sx:e,sy:i}=t,s=this.renderer.xscale.invert(e),r=this.renderer.yscale.invert(i),n=this.index.indices({x0:s,y0:r,x1:s,y1:r});return new o.Selection({indices:n})}_hit_span(t){const{sx:e,sy:i}=t;let s;if(\"v\"==t.direction){const t=this.renderer.yscale.invert(i),e=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(e.start,e.end);s=this.index.indices({x0:r,y0:t,x1:n,y1:t})}else{const t=this.renderer.xscale.invert(e),i=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(i.start,i.end);s=this.index.indices({x0:t,y0:r,x1:t,y1:n})}return new o.Selection({indices:s})}draw_legend_for_index(t,e,i){h.generic_area_legend(this.visuals,t,e,i)}}i.BoxView=a,a.__name__=\"BoxView\";class c extends n.Glyph{constructor(t){super(t)}static init_Box(){this.mixins([s.LineVector,s.FillVector,s.HatchVector])}}i.Box=c,c.__name__=\"Box\",c.init_Box()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(89),n=i.__importStar(e(93)),o=i.__importStar(e(18)),a=e(23),l=e(85),h=e(92),c=e(79);class _ extends r.GlyphView{scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}_set_data(){const e=this._q.length,t=this.model.size,s=this.model.aspect_scale;if(this._x=new Float64Array(e),this._y=new Float64Array(e),\"pointytop\"==this.model.orientation)for(let i=0;i<e;i++)this._x[i]=t*Math.sqrt(3)*(this._q[i]+this._r[i]/2)/s,this._y[i]=3*-t/2*this._r[i];else for(let i=0;i<e;i++)this._x[i]=3*t/2*this._q[i],this._y[i]=-t*Math.sqrt(3)*(this._r[i]+this._q[i]/2)*s}_index_data(){let e=this.model.size,t=Math.sqrt(3)*e/2;\"flattop\"==this.model.orientation?([t,e]=[e,t],e*=this.model.aspect_scale):t/=this.model.aspect_scale;const s=[];for(let i=0;i<this._x.length;i++){const r=this._x[i],n=this._y[i];!isNaN(r+n)&&isFinite(r+n)&&s.push({x0:r-t,y0:n-e,x1:r+t,y1:n+e,i})}return new l.SpatialIndex(s)}map_data(){[this.sx,this.sy]=this.map_to_screen(this._x,this._y),[this.svx,this.svy]=this._get_unscaled_vertices()}_get_unscaled_vertices(){const e=this.model.size,t=this.model.aspect_scale;if(\"pointytop\"==this.model.orientation){const s=this.renderer.yscale,i=this.renderer.xscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))/t,o=r/2;return[[0,-n,-n,0,n,n],[r,o,-o,-r,-o,o]]}{const s=this.renderer.xscale,i=this.renderer.yscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))*t,o=r/2;return[[r,o,-o,-r,-o,o],[0,-n,-n,0,n,n]]}}_render(e,t,{sx:s,sy:i,svx:r,svy:n,_scale:o}){for(const a of t)if(!isNaN(s[a]+i[a]+o[a])){e.translate(s[a],i[a]),e.beginPath();for(let t=0;t<6;t++)e.lineTo(r[t]*o[a],n[t]*o[a]);e.closePath(),e.translate(-s[a],-i[a]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,a),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,a),e.stroke())}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s),o=this.index.indices({x0:i,y0:r,x1:i,y1:r}),a=[];for(const e of o)n.point_in_poly(t-this.sx[e],s-this.sy[e],this.svx,this.svy)&&a.push(e);return new c.Selection({indices:a})}_hit_span(e){const{sx:t,sy:s}=e;let i;if(\"v\"==e.direction){const e=this.renderer.yscale.invert(s),t=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(t.start,t.end);i=this.index.indices({x0:r,y0:e,x1:n,y1:e})}else{const e=this.renderer.xscale.invert(t),s=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(s.start,s.end);i=this.index.indices({x0:e,y0:r,x1:e,y1:n})}return new c.Selection({indices:i})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:r}=e,[n,o]=this.renderer.xscale.r_invert(t,s),[a,l]=this.renderer.yscale.r_invert(i,r),h=this.index.indices({x0:n,x1:o,y0:a,y1:l});return new c.Selection({indices:h})}draw_legend_for_index(e,t,s){h.generic_area_legend(this.visuals,e,t,s)}}s.HexTileView=_,_.__name__=\"HexTileView\";class d extends r.Glyph{constructor(e){super(e)}static init_HexTile(){this.prototype.default_view=_,this.coords([[\"r\",\"q\"]]),this.mixins([a.LineVector,a.FillVector]),this.define({size:[o.Number,1],aspect_scale:[o.Number,1],scale:[o.NumberSpec,1],orientation:[o.HexTileOrientation,\"pointytop\"]}),this.override({line_color:null})}}s.HexTile=d,d.__name__=\"HexTile\",d.init_HexTile()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(1),i=e(221),n=e(115),s=_.__importStar(e(18));class r extends i.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,()=>this._update_image())}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.plot_view.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}a.ImageView=r,r.__name__=\"ImageView\";class o extends i.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=r,this.define({color_mapper:[s.Instance,()=>new n.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})}}a.Image=o,o.__name__=\"Image\",o.init_Image()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(84),h=s.__importStar(e(18)),n=e(79),_=e(85),r=e(9),d=e(26);class l extends a.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_render(e,t,{image_data:i,sx:s,sy:a,sw:h,sh:n}){const _=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const _ of t){if(null==i[_]||isNaN(s[_]+a[_]+h[_]+n[_]))continue;const t=a[_];e.translate(0,t),e.scale(1,-1),e.translate(0,-t),e.drawImage(i[_],0|s[_],0|a[_],h[_],n[_]),e.translate(0,t),e.scale(1,-1),e.translate(0,-t)}e.setImageSmoothingEnabled(_)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this._image.length;t<i;t++){if(null!=e&&e.indexOf(t)<0)continue;const i=this._image[t];let s;d.is_NDArray(i)?(s=i,this._height[t]=i.shape[0],this._width[t]=i.shape[1]):(s=r.concat(i),this._height[t]=i.length,this._width[t]=i[0].length);const a=this._flat_img_to_buf8(s);this._set_image_data_from_buffer(t,a)}}_index_data(){const e=[];for(let t=0,i=this._x.length;t<i;t++){const[i,s,a,h]=this._lrtb(t);!isNaN(i+s+a+h)&&isFinite(i+s+a+h)&&e.push({x0:i,y0:h,x1:s,y1:a,i:t})}return new _.SpatialIndex(e)}_lrtb(e){const t=this.renderer.xscale.source_range,i=this._x[e],s=t.is_reversed?i-this._dw[e]:i+this._dw[e],a=this.renderer.yscale.source_range,h=this._y[e],n=a.is_reversed?h-this._dh[e]:h+this._dh[e],[_,r]=i<s?[i,s]:[s,i],[d,l]=h<n?[h,n]:[n,h];return[_,r,l,d]}_set_width_heigh_data(){null!=this.image_data&&this.image_data.length==this._image.length||(this.image_data=new Array(this._image.length)),null!=this._width&&this._width.length==this._image.length||(this._width=new Array(this._image.length)),null!=this._height&&this._height.length==this._image.length||(this._height=new Array(this._image.length))}_get_or_create_canvas(e){const t=this.image_data[e];if(null!=t&&t.width==this._width[e]&&t.height==this._height[e])return t;{const t=document.createElement(\"canvas\");return t.width=this._width[e],t.height=this._height[e],t}}_set_image_data_from_buffer(e,t){const i=this._get_or_create_canvas(e),s=i.getContext(\"2d\"),a=s.getImageData(0,0,this._width[e],this._height[e]);a.data.set(t),s.putImageData(a,0,0),this.image_data[e]=i}_map_data(){switch(this.model.properties.dw.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,this._dw,\"edge\",this.model.dilate);break;case\"screen\":this.sw=this._dw}switch(this.model.properties.dh.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,this._dh,\"edge\",this.model.dilate);break;case\"screen\":this.sh=this._dh}}_image_index(e,t,i){const[s,a,h,n]=this._lrtb(e),_=this._width[e],r=this._height[e],d=(a-s)/_,l=(h-n)/r;let g=Math.floor((t-s)/d),o=Math.floor((i-n)/l);return this.renderer.xscale.source_range.is_reversed&&(g=_-g-1),this.renderer.yscale.source_range.is_reversed&&(o=r-o-1),{index:e,dim1:g,dim2:o,flat_index:o*_+g}}_hit_point(e){const{sx:t,sy:i}=e,s=this.renderer.xscale.invert(t),a=this.renderer.yscale.invert(i),h=this.index.indices({x0:s,x1:s,y0:a,y1:a}),_=new n.Selection;for(const e of h)t!=1/0&&i!=1/0&&_.image_indices.push(this._image_index(e,s,a));return _}}i.ImageBaseView=l,l.__name__=\"ImageBaseView\";class g extends a.XYGlyph{constructor(e){super(e)}static init_ImageBase(){this.define({image:[h.NumberSpec],dw:[h.DistanceSpec],dh:[h.DistanceSpec],dilate:[h.Boolean,!1],global_alpha:[h.Number,1]})}}i.ImageBase=g,g.__name__=\"ImageBase\",g.init_ImageBase()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(221),i=e(8);class n extends _.ImageBaseView{_flat_img_to_buf8(e){let t;return t=i.isArray(e)?new Uint32Array(e):e,new Uint8Array(t.buffer)}}a.ImageRGBAView=n,n.__name__=\"ImageRGBAView\";class r extends _.ImageBase{constructor(e){super(e)}static init_ImageRGBA(){this.prototype.default_view=n}}a.ImageRGBA=r,r.__name__=\"ImageRGBA\",r.init_ImageRGBA()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),a=i.__importStar(e(18)),n=e(12),h=e(85),l=e(224);class _ extends r.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1}initialize(){super.initialize(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_index_data(){return new h.SpatialIndex([])}_set_data(){null!=this.image&&this.image.length==this._url.length||(this.image=n.map(this._url,()=>null));const{retry_attempts:e,retry_timeout:t}=this.model;for(let s=0,i=this._url.length;s<i;s++){const i=this._url[s];null!=i&&\"\"!=i&&new l.ImageLoader(i,{loaded:e=>{this.image[s]=e,this.renderer.request_render()},attempts:e+1,timeout:t})}const s=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,r=this._x.length,a=new Array(s?2*r:r),h=new Array(i?2*r:r);for(let e=0;e<r;e++)a[e]=this._x[e],h[e]=this._y[e];if(s)for(let e=0;e<r;e++)a[r+e]=this._x[e]+this._w[e];if(i)for(let e=0;e<r;e++)h[r+e]=this._y[e]+this._h[e];const _=n.min(a),o=n.max(a),d=n.min(h),c=n.max(h);this._bounds_rect={x0:_,x1:o,y0:d,y1:c}}has_finished(){return super.has_finished()&&1==this._images_rendered}_map_data(){const e=null!=this.model.w?this._w:n.map(this._x,()=>NaN),t=null!=this.model.h?this._h:n.map(this._x,()=>NaN);switch(this.model.properties.w.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,e,\"edge\",this.model.dilate);break;case\"screen\":this.sw=e}switch(this.model.properties.h.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,t,\"edge\",this.model.dilate);break;case\"screen\":this.sh=t}}_render(e,t,{image:s,sx:i,sy:r,sw:a,sh:n,_angle:h}){const{frame:l}=this.renderer.plot_view;e.rect(l._left.value+1,l._top.value+1,l._width.value-2,l._height.value-2),e.clip();let _=!0;for(const l of t){if(isNaN(i[l]+r[l]+h[l]))continue;const t=s[l];null!=t?this._render_image(e,l,t,i,r,a,n,h):_=!1}_&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,i,r){switch(e){case\"top_left\":return[t,s];case\"top_center\":return[t-i/2,s];case\"top_right\":return[t-i,s];case\"center_right\":return[t-i,s-r/2];case\"bottom_right\":return[t-i,s-r];case\"bottom_center\":return[t-i/2,s-r];case\"bottom_left\":return[t,s-r];case\"center_left\":return[t,s-r/2];case\"center\":return[t-i/2,s-r/2]}}_render_image(e,t,s,i,r,a,n,h){isNaN(a[t])&&(a[t]=s.width),isNaN(n[t])&&(n[t]=s.height);const{anchor:l}=this.model,[_,o]=this._final_sx_sy(l,i[t],r[t],a[t],n[t]);e.save(),e.globalAlpha=this.model.global_alpha;const d=a[t]/2,c=n[t]/2;h[t]?(e.translate(_,o),e.translate(d,c),e.rotate(h[t]),e.translate(-d,-c),e.drawImage(s,0,0,a[t],n[t]),e.translate(d,c),e.rotate(-h[t]),e.translate(-d,-c),e.translate(-_,-o)):e.drawImage(s,_,o,a[t],n[t]),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=_,_.__name__=\"ImageURLView\";class o extends r.XYGlyph{constructor(e){super(e)}static init_ImageURL(){this.prototype.default_view=_,this.define({url:[a.StringSpec],anchor:[a.Anchor,\"top_left\"],global_alpha:[a.Number,1],angle:[a.AngleSpec,0],w:[a.DistanceSpec],h:[a.DistanceSpec],dilate:[a.Boolean,!1],retry_attempts:[a.Number,0],retry_timeout:[a.Number,0]})}}s.ImageURL=o,o.__name__=\"ImageURL\",o.init_ImageURL()},\n      function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(72);class a{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:a=1}=e;this.promise=new Promise((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const a=`unable to load ${i} image after ${t} attempts`;if(s.logger.warn(a),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());s.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout(()=>this._image.src=i,a)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i})}get finished(){return this._finished}get image(){return this._image}}t.ImageLoader=a,a.__name__=\"ImageLoader\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(85),l=t(23),o=i.__importStar(t(93)),r=t(9),h=t(17),_=t(89),c=t(92),a=t(79);class x extends _.GlyphView{_index_data(){const t=[];for(let e=0,s=this._xs.length;e<s;e++){if(null==this._xs[e]||0===this._xs[e].length)continue;const s=this._xs[e],i=[];for(let t=0,e=s.length;t<e;t++){const e=s[t];isNaN(e)||i.push(e)}const n=this._ys[e],l=[];for(let t=0,e=n.length;t<e;t++){const e=n[t];isNaN(e)||l.push(e)}const[o,h]=[r.min(i),r.max(i)],[_,c]=[r.min(l),r.max(l)];t.push({x0:o,y0:_,x1:h,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sxs:s,sys:i}){for(const n of e){const[e,l]=[s[n],i[n]];this.visuals.line.set_vectorize(t,n);for(let s=0,i=e.length;s<i;s++)0!=s?isNaN(e[s])||isNaN(l[s])?(t.stroke(),t.beginPath()):t.lineTo(e[s],l[s]):(t.beginPath(),t.moveTo(e[s],l[s]));t.stroke()}}_hit_point(t){const e={x:t.sx,y:t.sy};let s=9999;const i=new Map;for(let t=0,n=this.sxs.length;t<n;t++){const n=Math.max(2,this.visuals.line.cache_select(\"line_width\",t)/2);let l=null;for(let i=0,r=this.sxs[t].length-1;i<r;i++){const r={x:this.sxs[t][i],y:this.sys[t][i]},h={x:this.sxs[t][i+1],y:this.sys[t][i+1]},_=o.dist_to_segment(e,r,h);_<n&&_<s&&(s=_,l=[i])}null!=l&&i.set(t,l)}return new a.Selection({indices:[...i.keys()],multiline_indices:h.to_object(i)})}_hit_span(t){const{sx:e,sy:s}=t;let i,n;\"v\"===t.direction?(i=this.renderer.yscale.invert(s),n=this._ys):(i=this.renderer.xscale.invert(e),n=this._xs);const l=new Map;for(let t=0,e=n.length;t<e;t++){const e=[];for(let s=0,l=n[t].length-1;s<l;s++)n[t][s]<=i&&i<=n[t][s+1]&&e.push(s);e.length>0&&l.set(t,e)}return new a.Selection({indices:[...l.keys()],multiline_indices:h.to_object(l)})}get_interpolation_hit(t,e,s){const[i,n,l,o]=[this._xs[t][e],this._ys[t][e],this._xs[t][e+1],this._ys[t][e+1]];return c.line_interpolation(this.renderer,s,i,n,l,o)}draw_legend_for_index(t,e,s){c.generic_line_legend(this.visuals,t,e,s)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}s.MultiLineView=x,x.__name__=\"MultiLineView\";class u extends _.Glyph{constructor(t){super(t)}static init_MultiLine(){this.prototype.default_view=x,this.coords([[\"xs\",\"ys\"]]),this.mixins(l.LineVector)}}s.MultiLine=u,u.__name__=\"MultiLine\",u.init_MultiLine()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(85),r=e(89),o=e(92),l=e(9),h=e(12),_=e(23),a=i.__importStar(e(93)),c=e(79),d=e(8),x=e(11);class y extends r.GlyphView{_index_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++){const i=this._xs[t][s][0],n=this._ys[t][s][0];0!=i.length&&e.push({x0:l.min(i),y0:l.min(n),x1:l.max(i),y1:l.max(n),i:t})}return this.hole_index=this._index_hole_data(),new n.SpatialIndex(e)}_index_hole_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++)if(this._xs[t][s].length>1)for(let i=1,n=this._xs[t][s].length;i<n;i++){const n=this._xs[t][s][i],r=this._ys[t][s][i];0!=n.length&&e.push({x0:l.min(n),y0:l.min(r),x1:l.max(n),y1:l.max(r),i:t})}return new n.SpatialIndex(e)}_mask_data(){const e=this.renderer.plot_view.frame.x_ranges.default,[t,s]=[e.min,e.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:s,y0:n,y1:r}).sort((e,t)=>e-t).filter((e,t,s)=>0===t||e!==s[t-1])}_inner_loop(e,t,s){e.beginPath();for(let i=0,n=t.length;i<n;i++)for(let n=0,r=t[i].length;n<r;n++){const r=t[i][n],o=s[i][n];for(let t=0,s=r.length;t<s;t++)0!=t?e.lineTo(r[t],o[t]):e.moveTo(r[t],o[t]);e.closePath()}}_render(e,t,{sxs:s,sys:i}){if(this.visuals.fill.doit||this.visuals.line.doit)for(const n of t){const[t,r]=[s[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,n),this._inner_loop(e,t,r),e.fill(\"evenodd\")),this.visuals.hatch.doit2(e,n,()=>{this._inner_loop(e,t,r),e.fill(\"evenodd\")},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,n),this._inner_loop(e,t,r),e.stroke())}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],o=[i,i,n,n],[l,h]=this.renderer.xscale.r_invert(t,s),[_,d]=this.renderer.yscale.r_invert(i,n),x=this.index.indices({x0:l,x1:h,y0:_,y1:d}),y=[];for(let e=0,t=x.length;e<t;e++){const t=x[e],s=this.sxs[t],i=this.sys[t];let n=!0;for(let e=0,t=s.length;e<t;e++){for(let t=0,l=s[e][0].length;t<l;t++){const l=s[e][0][t],h=i[e][0][t];if(!a.point_in_poly(l,h,r,o)){n=!1;break}}if(!n)break}n&&y.push(t)}return new c.Selection({indices:y})}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(s),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=this.hole_index.indices({x0:i,y0:n,x1:i,y1:n}),l=[];for(let e=0,i=r.length;e<i;e++){const i=r[e],n=this.sxs[i],h=this.sys[i];for(let e=0,r=n.length;e<r;e++){const r=n[e].length;if(a.point_in_poly(t,s,n[e][0],h[e][0]))if(1==r)l.push(i);else if(-1==o.indexOf(i))l.push(i);else if(r>1){let o=!1;for(let i=1;i<r;i++){const r=n[e][i],l=h[e][i];if(a.point_in_poly(t,s,r,l)){o=!0;break}}o||l.push(i)}}}return new c.Selection({indices:l})}_get_snap_coord(e){return h.sum(e)/e.length}scenterx(e,t,s){if(1==this.sxs[e].length)return this._get_snap_coord(this.sxs[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(i[e][0])}x.unreachable()}scentery(e,t,s){if(1==this.sys[e].length)return this._get_snap_coord(this.sys[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(n[e][0])}x.unreachable()}map_data(){const e=this;for(let[t,s]of this.model._coords){const i=\"s\"+t,n=\"s\"+s;if(t=\"_\"+t,s=\"_\"+s,null!=e[t]&&(d.isArray(e[t][0])||d.isTypedArray(e[t][0]))){const r=e[t].length;e[i]=new Array(r),e[n]=new Array(r);for(let o=0;o<r;o++){const r=e[t][o].length;e[i][o]=new Array(r),e[n][o]=new Array(r);for(let l=0;l<r;l++){const r=e[t][o][l].length;e[i][o][l]=new Array(r),e[n][o][l]=new Array(r);for(let h=0;h<r;h++){const[r,_]=this.map_to_screen(e[t][o][l][h],e[s][o][l][h]);e[i][o][l][h]=r,e[n][o][l][h]=_}}}}}}draw_legend_for_index(e,t,s){o.generic_area_legend(this.visuals,e,t,s)}}s.MultiPolygonsView=y,y.__name__=\"MultiPolygonsView\";class f extends r.Glyph{constructor(e){super(e)}static init_MultiPolygons(){this.prototype.default_view=y,this.coords([[\"xs\",\"ys\"]]),this.mixins([_.LineVector,_.FillVector,_.HatchVector])}}s.MultiPolygons=f,f.__name__=\"MultiPolygons\",f.init_MultiPolygons()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const l=e(216);class s extends l.EllipseOvalView{_map_data(){super._map_data();const{sw:e}=this,t=e.length;for(let a=0;a<t;a++)e[a]*=.75}}a.OvalView=s,s.__name__=\"OvalView\";class _ extends l.EllipseOval{constructor(e){super(e)}static init_Oval(){this.prototype.default_view=s}}a.Oval=_,_.__name__=\"Oval\",_.init_Oval()},\n      function _(s,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=s(1),n=s(85),r=s(89),o=s(92),l=s(9),_=s(12),h=s(23),c=i.__importStar(s(93)),a=s(79),d=s(11);class u extends r.GlyphView{_build_discontinuous_object(s){const t=[];for(let e=0,i=s.length;e<i;e++){t[e]=[];let i=l.copy(s[e]);for(;i.length>0;){const s=l.find_last_index(i,s=>isNaN(s));let n;s>=0?n=i.splice(s):(n=i,i=[]);const r=n.filter(s=>!isNaN(s));t[e].push(r)}}return t}_index_data(){const s=this._build_discontinuous_object(this._xs),t=this._build_discontinuous_object(this._ys),e=[];for(let i=0,n=this._xs.length;i<n;i++)for(let n=0,r=s[i].length;n<r;n++){const r=s[i][n],o=t[i][n];0!=r.length&&e.push({x0:l.min(r),y0:l.min(o),x1:l.max(r),y1:l.max(o),i})}return new n.SpatialIndex(e)}_mask_data(){const s=this.renderer.plot_view.frame.x_ranges.default,[t,e]=[s.min,s.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:e,y0:n,y1:r}).sort((s,t)=>s-t)}_inner_loop(s,t,e,i){for(let n=0,r=t.length;n<r;n++)0!=n?isNaN(t[n]+e[n])?(s.closePath(),i.apply(s),s.beginPath()):s.lineTo(t[n],e[n]):(s.beginPath(),s.moveTo(t[n],e[n]));s.closePath(),i.call(s)}_render(s,t,{sxs:e,sys:i}){this.sxss=this._build_discontinuous_object(e),this.syss=this._build_discontinuous_object(i);for(const n of t){const[t,r]=[e[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,n),this._inner_loop(s,t,r,s.fill)),this.visuals.hatch.doit2(s,n,()=>this._inner_loop(s,t,r,s.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),this._inner_loop(s,t,r,s.stroke))}}_hit_rect(s){const{sx0:t,sx1:e,sy0:i,sy1:n}=s,r=[t,e,e,t],o=[i,i,n,n],[l,_]=this.renderer.xscale.r_invert(t,e),[h,d]=this.renderer.yscale.r_invert(i,n),u=this.index.indices({x0:l,x1:_,y0:h,y1:d}),x=[];for(let s=0,t=u.length;s<t;s++){const t=u[s],e=this.sxs[t],i=this.sys[t];let n=!0;for(let s=0,t=e.length;s<t;s++){const t=e[s],l=i[s];if(!c.point_in_poly(t,l,r,o)){n=!1;break}}n&&x.push(t)}return new a.Selection({indices:x})}_hit_point(s){const{sx:t,sy:e}=s,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(e),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=[];for(let s=0,i=r.length;s<i;s++){const i=r[s],n=this.sxss[i],l=this.syss[i];for(let s=0,r=n.length;s<r;s++)c.point_in_poly(t,e,n[s],l[s])&&o.push(i)}return new a.Selection({indices:o})}_get_snap_coord(s){return _.sum(s)/s.length}scenterx(s,t,e){if(1==this.sxss[s].length)return this._get_snap_coord(this.sxs[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(i[s])}d.unreachable()}scentery(s,t,e){if(1==this.syss[s].length)return this._get_snap_coord(this.sys[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(n[s])}d.unreachable()}draw_legend_for_index(s,t,e){o.generic_area_legend(this.visuals,s,t,e)}}e.PatchesView=u,u.__name__=\"PatchesView\";class x extends r.Glyph{constructor(s){super(s)}static init_Patches(){this.prototype.default_view=u,this.coords([[\"xs\",\"ys\"]]),this.mixins([h.LineVector,h.FillVector,h.HatchVector])}}e.Patches=x,x.__name__=\"Patches\",x.init_Patches()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(218);class _ extends i.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._right.length)}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}s.QuadView=_,_.__name__=\"QuadView\";class o extends i.Box{constructor(t){super(t)}static init_Quad(){this.prototype.default_view=_,this.coords([[\"right\",\"bottom\"],[\"left\",\"top\"]])}}s.Quad=o,o.__name__=\"Quad\",o.init_Quad()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(23),n=t(85),r=t(89),_=t(92);function a(t,i,e){if(i==(t+e)/2)return[t,e];{const s=(t-i)/(t-2*i+e),n=t*(1-s)**2+2*i*(1-s)*s+e*s**2;return[Math.min(t,e,n),Math.max(t,e,n)]}}class c extends r.GlyphView{_index_data(){const t=[];for(let i=0,e=this._x0.length;i<e;i++){if(isNaN(this._x0[i]+this._x1[i]+this._y0[i]+this._y1[i]+this._cx[i]+this._cy[i]))continue;const[e,s]=a(this._x0[i],this._cx[i],this._x1[i]),[n,r]=a(this._y0[i],this._cy[i],this._y1[i]);t.push({x0:e,y0:n,x1:s,y1:r,i})}return new n.SpatialIndex(t)}_render(t,i,{sx0:e,sy0:s,sx1:n,sy1:r,scx:_,scy:a}){if(this.visuals.line.doit)for(const c of i)isNaN(e[c]+s[c]+n[c]+r[c]+_[c]+a[c])||(t.beginPath(),t.moveTo(e[c],s[c]),t.quadraticCurveTo(_[c],a[c],n[c],r[c]),this.visuals.line.set_vectorize(t,c),t.stroke())}draw_legend_for_index(t,i,e){_.generic_line_legend(this.visuals,t,i,e)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}e.QuadraticView=c,c.__name__=\"QuadraticView\";class o extends r.Glyph{constructor(t){super(t)}static init_Quadratic(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx\",\"cy\"]]),this.mixins(s.LineVector)}}e.Quadratic=o,o.__name__=\"Quadratic\",o.init_Quadratic()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),a=e(92),l=e(23),r=s.__importStar(e(18));class _ extends n.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this._length):this.slength=this._length}_render(e,t,{sx:i,sy:s,slength:n,_angle:a}){if(this.visuals.line.doit){const l=2*(this.renderer.plot_view.frame._width.value+this.renderer.plot_view.frame._height.value);for(let e=0,t=n.length;e<t;e++)0==n[e]&&(n[e]=l);for(const l of t)isNaN(i[l]+s[l]+a[l]+n[l])||(e.translate(i[l],s[l]),e.rotate(a[l]),e.beginPath(),e.moveTo(0,0),e.lineTo(n[l],0),this.visuals.line.set_vectorize(e,l),e.stroke(),e.rotate(-a[l]),e.translate(-i[l],-s[l]))}}draw_legend_for_index(e,t,i){a.generic_line_legend(this.visuals,e,t,i)}}i.RayView=_,_.__name__=\"RayView\";class h extends n.XYGlyph{constructor(e){super(e)}static init_Ray(){this.prototype.default_view=_,this.mixins(l.LineVector),this.define({length:[r.DistanceSpec],angle:[r.AngleSpec]})}}i.Ray=h,h.__name__=\"Ray\",h.init_Ray()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(214),a=t(92),r=i.__importStar(t(18)),n=t(12),_=t(79);class l extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this._width,this.renderer.xscale);else{this.sw=this._width;const t=this.sx.length;this.sx0=new Float64Array(t);for(let s=0;s<t;s++)this.sx0[s]=this.sx[s]-this.sw[s]/2}if(\"data\"==this.model.properties.height.units)[this.sh,this.sy1]=this._map_dist_corner_for_data_side_length(this._y,this._height,this.renderer.yscale);else{this.sh=this._height;const t=this.sy.length;this.sy1=new Float64Array(t);for(let s=0;s<t;s++)this.sy1[s]=this.sy[s]-this.sh[s]/2}const t=this.sw.length;this.ssemi_diag=new Float64Array(t);for(let s=0;s<t;s++)this.ssemi_diag[s]=Math.sqrt(this.sw[s]/2*this.sw[s]/2+this.sh[s]/2*this.sh[s]/2)}_render(t,s,{sx:e,sy:i,sx0:h,sy1:a,sw:r,sh:n,_angle:_}){if(this.visuals.fill.doit)for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||(this.visuals.fill.set_vectorize(t,l),_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.fillRect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.fillRect(h[l],a[l],r[l],n[l]));if(this.visuals.line.doit){t.beginPath();for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||0!=r[l]&&0!=n[l]&&(_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.rect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.rect(h[l],a[l],r[l],n[l]),this.visuals.line.set_vectorize(t,l),t.stroke(),t.beginPath());t.stroke()}}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){let{sx:s,sy:e}=t;const i=this.renderer.xscale.invert(s),h=this.renderer.yscale.invert(e),a=[];for(let t=0,s=this.sx0.length;t<s;t++)a.push(this.sx0[t]+this.sw[t]/2);const r=[];for(let t=0,s=this.sy1.length;t<s;t++)r.push(this.sy1[t]+this.sh[t]/2);const l=n.max(this._ddist(0,a,this.ssemi_diag)),o=n.max(this._ddist(1,r,this.ssemi_diag)),d=i-l,c=i+l,x=h-o,y=h+o,f=[];for(const t of this.index.indices({x0:d,x1:c,y0:x,y1:y})){let i,h;if(this._angle[t]){const a=Math.sin(-this._angle[t]),r=Math.cos(-this._angle[t]),n=r*(s-this.sx[t])-a*(e-this.sy[t])+this.sx[t],_=a*(s-this.sx[t])+r*(e-this.sy[t])+this.sy[t];s=n,e=_,h=Math.abs(this.sx[t]-s)<=this.sw[t]/2,i=Math.abs(this.sy[t]-e)<=this.sh[t]/2}else h=s-this.sx0[t]<=this.sw[t]&&s-this.sx0[t]>=0,i=e-this.sy1[t]<=this.sh[t]&&e-this.sy1[t]>=0;i&&h&&f.push(t)}return new _.Selection({indices:f})}_map_dist_corner_for_data_side_length(t,s,e){const i=t.length,h=new Float64Array(i),a=new Float64Array(i);for(let e=0;e<i;e++)h[e]=Number(t[e])-s[e]/2,a[e]=Number(t[e])+s[e]/2;const r=e.v_compute(h),n=e.v_compute(a),_=this.sdist(e,h,s,\"edge\",this.model.dilate);let l=r;for(let t=0,s=r.length;t<s;t++)if(r[t]!=n[t]){l=r[t]<n[t]?r:n;break}return[_,l]}_ddist(t,s,e){const i=0==t?this.renderer.xscale:this.renderer.yscale,h=s,a=h.length,r=new Float64Array(a);for(let t=0;t<a;t++)r[t]=h[t]+e[t];const n=i.v_invert(h),_=i.v_invert(r),l=n.length,o=new Float64Array(l);for(let t=0;t<l;t++)o[t]=Math.abs(_[t]-n[t]);return o}draw_legend_for_index(t,s,e){a.generic_area_legend(this.visuals,t,s,e)}_bounds({x0:t,x1:s,y0:e,y1:i}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:e-this.max_h2,y1:i+this.max_h2}}}e.RectView=l,l.__name__=\"RectView\";class o extends h.CenterRotatable{constructor(t){super(t)}static init_Rect(){this.prototype.default_view=l,this.define({dilate:[r.Boolean,!1]})}}e.Rect=o,o.__name__=\"Rect\",o.init_Rect()},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1).__importStar(e(93)),n=e(23),r=e(85),h=e(89),_=e(92),a=e(79);class c extends h.GlyphView{_index_data(){const e=[];for(let s=0,t=this._x0.length;s<t;s++){const t=this._x0[s],i=this._x1[s],n=this._y0[s],r=this._y1[s];isNaN(t+i+n+r)||e.push({x0:Math.min(t,i),y0:Math.min(n,r),x1:Math.max(t,i),y1:Math.max(n,r),i:s})}return new r.SpatialIndex(e)}_render(e,s,{sx0:t,sy0:i,sx1:n,sy1:r}){if(this.visuals.line.doit)for(const h of s)isNaN(t[h]+i[h]+n[h]+r[h])||(e.beginPath(),e.moveTo(t[h],i[h]),e.lineTo(n[h],r[h]),this.visuals.line.set_vectorize(e,h),e.stroke())}_hit_point(e){const{sx:s,sy:t}=e,n={x:s,y:t},[r,h]=this.renderer.xscale.r_invert(s-2,s+2),[_,c]=this.renderer.yscale.r_invert(t-2,t+2),o=this.index.indices({x0:r,y0:_,x1:h,y1:c}),x=[];for(const e of o){const s=Math.max(2,this.visuals.line.cache_select(\"line_width\",e)/2)**2,t={x:this.sx0[e],y:this.sy0[e]},r={x:this.sx1[e],y:this.sy1[e]};i.dist_to_segment_squared(n,t,r)<s&&x.push(e)}return new a.Selection({indices:x})}_hit_span(e){const[s,t]=this.renderer.plot_view.frame.bbox.ranges,{sx:i,sy:n}=e;let r,h,_;\"v\"==e.direction?(_=this.renderer.yscale.invert(n),[r,h]=[this._y0,this._y1]):(_=this.renderer.xscale.invert(i),[r,h]=[this._x0,this._x1]);const c=[],[o,x]=this.renderer.xscale.r_invert(s.start,s.end),[l,d]=this.renderer.yscale.r_invert(t.start,t.end),y=this.index.indices({x0:o,y0:l,x1:x,y1:d});for(const s of y){(r[s]<=_&&_<=h[s]||h[s]<=_&&_<=r[s])&&c.push(s);const t=1.5+this.visuals.line.cache_select(\"line_width\",s)/2;r[s]==h[s]&&(\"h\"==e.direction?Math.abs(this.sx0[s]-i)<=t&&c.push(s):Math.abs(this.sy0[s]-n)<=t&&c.push(s))}return new a.Selection({indices:c})}scenterx(e){return(this.sx0[e]+this.sx1[e])/2}scentery(e){return(this.sy0[e]+this.sy1[e])/2}draw_legend_for_index(e,s,t){_.generic_line_legend(this.visuals,e,s,t)}}t.SegmentView=c,c.__name__=\"SegmentView\";class o extends h.Glyph{constructor(e){super(e)}static init_Segment(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"]]),this.mixins(n.LineVector)}}t.Segment=o,o.__name__=\"Segment\",o.init_Segment()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(84),o=e(92),r=e(23),l=n.__importStar(e(18));class a extends s.XYGlyphView{_render(e,t,{sx:i,sy:n}){let s=!1,o=null;this.visuals.line.set_value(e);const r=t.length;if(!(r<2)){e.beginPath(),e.moveTo(i[0],n[0]);for(const r of t){let t,l,a,_;switch(this.model.mode){case\"before\":[t,a]=[i[r-1],n[r]],[l,_]=[i[r],n[r]];break;case\"after\":[t,a]=[i[r],n[r-1]],[l,_]=[i[r],n[r]];break;case\"center\":{const e=(i[r-1]+i[r])/2;[t,a]=[e,n[r-1]],[l,_]=[e,n[r]];break}default:throw new Error(\"unexpected\")}if(s){if(!isFinite(i[r]+n[r])){e.stroke(),e.beginPath(),s=!1,o=r;continue}null!=o&&r-o>1&&(e.stroke(),s=!1)}s?(e.lineTo(t,a),e.lineTo(l,_)):(e.beginPath(),e.moveTo(i[r],n[r]),s=!0),o=r}e.lineTo(i[r-1],n[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}}i.StepView=a,a.__name__=\"StepView\";class _ extends s.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=a,this.mixins(r.LineVector),this.define({mode:[l.StepMode,\"before\"]})}}i.Step=_,_.__name__=\"Step\",_.init_Step()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(84),_=t(23),o=i.__importStar(t(93)),h=i.__importStar(t(18)),r=t(132),l=t(11),a=t(79);class c extends n.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,{sx:s,sy:i,_x_offset:n,_y_offset:_,_angle:o,_text:h}){this._sys=[],this._sxs=[];for(const l of e)if(this._sxs[l]=[],this._sys[l]=[],!isNaN(s[l]+i[l]+n[l]+_[l]+o[l])&&null!=h[l]&&this.visuals.text.doit){const e=\"\"+h[l];t.save(),t.translate(s[l]+n[l],i[l]+_[l]),t.rotate(o[l]),this.visuals.text.set_vectorize(t,l);const a=this.visuals.text.cache_select(\"font\",l),{height:c}=r.measure_font(a),x=this.visuals.text.text_line_height.value()*c;if(-1==e.indexOf(\"\\n\")){t.fillText(e,0,0);const o=s[l]+n[l],h=i[l]+_[l],r=t.measureText(e).width,[a,c]=this._text_bounds(o,h,r,x);this._sxs[l].push(a),this._sys[l].push(c)}else{const o=e.split(\"\\n\"),h=x*o.length,r=this.visuals.text.cache_select(\"text_baseline\",l);let a;switch(r){case\"top\":a=0;break;case\"middle\":a=-h/2+x/2;break;case\"bottom\":a=-h+x;break;default:a=0,console.warn(`'${r}' baseline not supported with multi line text`)}for(const e of o){t.fillText(e,0,a);const o=s[l]+n[l],h=a+i[l]+_[l],r=t.measureText(e).width,[c,u]=this._text_bounds(o,h,r,x);this._sxs[l].push(c),this._sys[l].push(u),a+=x}}t.restore()}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t<this._sxs.length;t++){const n=this._sxs[t],_=this._sys[t],h=n.length;for(let r=0,l=h;r<l;r++){const[l,a]=this._rotate_point(e,s,n[h-1][0],_[h-1][0],-this._angle[t]);o.point_in_poly(l,a,n[r],_[r])&&i.push(t)}}return new a.Selection({indices:i})}_scenterxy(t){const e=this._sxs[t],s=this._sys[t];l.assert(0!=e.length&&0!=s.length);const i=e[0][0],n=s[0][0],_=(e[0][2]+i)/2,o=(s[0][2]+n)/2,[h,r]=this._rotate_point(_,o,i,n,this._angle[t]);return{x:h,y:r}}scenterx(t){return this._scenterxy(t).x}scentery(t){return this._scenterxy(t).y}}s.TextView=c,c.__name__=\"TextView\";class x extends n.XYGlyph{constructor(t){super(t)}static init_Text(){this.prototype.default_view=c,this.mixins(_.TextVector),this.define({text:[h.NullStringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,0],y_offset:[h.NumberSpec,0]})}}s.Text=x,x.__name__=\"Text\",x.init_Text()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class o extends h.BoxView{scenterx(t){return this.sx[t]}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._x.length)}_lrtb(t){return[this._x[t]-this._width[t]/2,this._x[t]+this._width[t]/2,Math.max(this._top[t],this._bottom[t]),Math.min(this._top[t],this._bottom[t])]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new Float64Array(t),this.sright=new Float64Array(t);for(let s=0;s<t;s++)this.sleft[s]=this.sx[s]-this.sw[s]/2,this.sright[s]=this.sx[s]+this.sw[s]/2;this._clamp_viewport()}}e.VBarView=o,o.__name__=\"VBarView\";class _ extends h.Box{constructor(t){super(t)}static init_VBar(){this.prototype.default_view=o,this.coords([[\"x\",\"bottom\"]]),this.define({width:[r.NumberSpec],top:[r.CoordinateSpec]}),this.override({bottom:0})}}e.VBar=_,_.__name__=\"VBar\",_.init_VBar()},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),d=e(10),o=e(79);class l extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,s,{sx:t,sy:i,sradius:r,_start_angle:n,_end_angle:a}){const _=this.model.properties.direction.value();for(const d of s)isNaN(t[d]+i[d]+r[d]+n[d]+a[d])||(e.beginPath(),e.arc(t[d],i[d],r[d],n[d],a[d],_),e.lineTo(t[d],i[d]),e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,d),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,d),e.stroke()))}_hit_point(e){let s,t,i,r,n,a,_,l,c;const{sx:h,sy:u}=e,p=this.renderer.xscale.invert(h),x=this.renderer.yscale.invert(u),g=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=p-g,_=p+g,l=x-g,c=x+g):(t=h-g,i=h+g,[a,_]=this.renderer.xscale.r_invert(t,i),r=u-g,n=u+g,[l,c]=this.renderer.yscale.r_invert(r,n));const y=[];for(const e of this.index.indices({x0:a,x1:_,y0:l,y1:c})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(p,this._x[e]),[r,n]=this.renderer.yscale.r_compute(x,this._y[e]),s=(t-i)**2+(r-n)**2,s<=a&&y.push([e,s])}const f=this.model.properties.direction.value(),v=[];for(const[e,s]of y){const t=Math.atan2(u-this.sy[e],h-this.sx[e]);d.angle_between(-t,-this._start_angle[e],-this._end_angle[e],f)&&v.push([e,s])}return o.Selection.from_hits(v)}draw_legend_for_index(e,s,t){n.generic_area_legend(this.visuals,e,s,t)}_scenterxy(e){const s=this.sradius[e]/2,t=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+s*Math.cos(t),y:this.sy[e]+s*Math.sin(t)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}t.WedgeView=l,l.__name__=\"WedgeView\";class c extends r.XYGlyph{constructor(e){super(e)}static init_Wedge(){this.prototype.default_view=l,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}t.Wedge=c,c.__name__=\"Wedge\",c.init_Wedge()},\n      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const r=e(1);r.__exportStar(e(101),_),r.__exportStar(e(239),_),r.__exportStar(e(240),_)},\n      function _(e,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=e(71);class n extends t.Model{constructor(e){super(e)}}r.LayoutProvider=n,n.__name__=\"LayoutProvider\"},\n      function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(1),r=t(239),s=o.__importStar(t(18));class n extends r.LayoutProvider{constructor(t){super(t)}static init_StaticLayoutProvider(){this.define({graph_layout:[s.Any,{}]})}get_node_coordinates(t){const a=[],e=[],o=t.data.index;for(let t=0,r=o.length;t<r;t++){const r=this.graph_layout[o[t]],[s,n]=null!=r?r:[NaN,NaN];a.push(s),e.push(n)}return[a,e]}get_edge_coordinates(t){const a=[],e=[],o=t.data.start,r=t.data.end,s=null!=t.data.xs&&null!=t.data.ys;for(let n=0,u=o.length;n<u;n++){const u=null!=this.graph_layout[o[n]]&&null!=this.graph_layout[r[n]];if(s&&u)a.push(t.data.xs[n]),e.push(t.data.ys[n]);else{let t,s;[s,t]=u?[this.graph_layout[o[n]],this.graph_layout[r[n]]]:[[NaN,NaN],[NaN,NaN]],a.push([s[0],t[0]]),e.push([s[1],t[1]])}}return[a,e]}}e.StaticLayoutProvider=n,n.__name__=\"StaticLayoutProvider\",n.init_StaticLayoutProvider()},\n      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var i=e(242);d.Grid=i.Grid},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),s=e(151),r=n.__importStar(e(23)),_=n.__importStar(e(18)),o=e(8);class a extends s.GuideRendererView{render(){if(!this.model.visible)return;const e=this.layer.ctx;e.save(),this._draw_regions(e),this._draw_minor_grids(e),this._draw_grids(e),e.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render())}_draw_regions(e){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;this.visuals.band_fill.set_value(e);const[i,t]=this.grid_coords(\"major\",!1);for(let n=0;n<i.length-1;n++){if(n%2!=1)continue;const[s,r]=this.plot_view.map_to_screen(i[n],t[n],this.model.x_range_name,this.model.y_range_name),[_,o]=this.plot_view.map_to_screen(i[n+1],t[n+1],this.model.x_range_name,this.model.y_range_name);this.visuals.band_fill.doit&&e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0]),this.visuals.band_hatch.doit2(e,n,()=>{e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0])},()=>this.request_render())}}_draw_grids(e){if(!this.visuals.grid_line.doit)return;const[i,t]=this.grid_coords(\"major\");this._draw_grid_helper(e,this.visuals.grid_line,i,t)}_draw_minor_grids(e){if(!this.visuals.minor_grid_line.doit)return;const[i,t]=this.grid_coords(\"minor\");this._draw_grid_helper(e,this.visuals.minor_grid_line,i,t)}_draw_grid_helper(e,i,t,n){i.set_value(e);for(let i=0;i<t.length;i++){const[s,r]=this.plot_view.map_to_screen(t[i],n[i],this.model.x_range_name,this.model.y_range_name);e.beginPath(),e.moveTo(Math.round(s[0]),Math.round(r[0]));for(let i=1;i<s.length;i++)e.lineTo(Math.round(s[i]),Math.round(r[i]));e.stroke()}}ranges(){const e=this.model.dimension,i=(e+1)%2,t=this.plot_view.frame,n=[t.x_ranges[this.model.x_range_name],t.y_ranges[this.model.y_range_name]];return[n[e],n[i]]}computed_bounds(){const[e]=this.ranges(),i=this.model.bounds,t=[e.min,e.max];let n,s;if(o.isArray(i))n=Math.min(i[0],i[1]),s=Math.max(i[0],i[1]),n<t[0]&&(n=t[0]),s>t[1]&&(s=t[1]);else{[n,s]=t;for(const e of this.plot_view.axis_views)e.dimension==this.model.dimension&&e.model.x_range_name==this.model.x_range_name&&e.model.y_range_name==this.model.y_range_name&&([n,s]=e.computed_bounds)}return[n,s]}grid_coords(e,i=!0){const t=this.model.dimension,n=(t+1)%2,[s,r]=this.ranges();let[_,o]=this.computed_bounds();[_,o]=[Math.min(_,o),Math.max(_,o)];const a=[[],[]],d=this.model.get_ticker();if(null==d)return a;const l=d.get_ticks(_,o,s,r.min,{})[e],h=s.min,m=s.max,c=r.min,u=r.max;i||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=m&&l.push(m));for(let e=0;e<l.length;e++){if((l[e]==h||l[e]==m)&&i)continue;const s=[],r=[],_=2;for(let i=0;i<_;i++){const t=c+(u-c)/(_-1)*i;s.push(l[e]),r.push(t)}a[t].push(s),a[n].push(r)}return a}}t.GridView=a,a.__name__=\"GridView\";class d extends s.GuideRenderer{constructor(e){super(e)}static init_Grid(){this.prototype.default_view=a,this.mixins([[\"grid_\",r.Line],[\"minor_grid_\",r.Line],[\"band_\",r.Fill],[\"band_\",r.Hatch]]),this.define({bounds:[_.Any,\"auto\"],dimension:[_.Any,0],axis:[_.Instance],ticker:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}t.Grid=d,d.__name__=\"Grid\",d.init_Grid()},\n      function _(a,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});var e=a(244);r.Box=e.Box;var v=a(247);r.Column=v.Column;var x=a(248);r.GridBox=x.GridBox;var B=a(249);r.HTMLBox=B.HTMLBox;var n=a(245);r.LayoutDOM=n.LayoutDOM;var t=a(250);r.Row=t.Row;var u=a(251);r.Spacer=u.Spacer;var d=a(252);r.Panel=d.Panel,r.Tabs=d.Tabs;var i=a(259);r.WidgetBox=i.WidgetBox},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(245),o=n.__importStar(e(18));class c extends s.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends s.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define({children:[o.Array,[]],spacing:[o.Number,0]})}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(71),l=t(68),n=t(72),h=t(8),a=s.__importStar(t(18)),_=t(99),r=t(66),d=t(246);class u extends r.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval(()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))},250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],()=>this.invalidate_layout()),this.on_change([t.background,t.css_classes],()=>this.invalidate_render())}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map(t=>this._child_views.get(t))}async build_child_views(){await _.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),l.empty(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?t:\"\",l.classes(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_root?this.layout.sizing.margin:void 0;l.position(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build()}build(){return this.assert_root(),this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),n.logger.debug(`layout computed in ${Date.now()-t} ms`),this.notify_finished()}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:a,height:_}=this.model;null!=a&&(o.width=a),null!=_&&(o.height=_);const{max_width:r,max_height:d}=this.model;null!=r&&(o.max_width=r),null!=d&&(o.max_height=d),\"auto\"==e&&null!=a&&null!=_?o.aspect=a/_:h.isNumber(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if(h.isNumber(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:c}=this.model;return h.isArray(c)?[o.halign,o.valign]=c:o.halign=o.valign=c,o}_viewport_size(){return l.undisplayed(this.el,()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(d.bk_root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=l.extents(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=l.extents(t),{width:n,height:h}=t.getBoundingClientRect(),a=Math.ceil(n-i-e),_=Math.ceil(h-s-o);if(a>0||_>0)return{width:a>0?a:void 0,height:_>0?_:void 0}}return{}})}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map(t=>t.serializable_state())})}}e.LayoutDOMView=u,u.__name__=\"LayoutDOMView\";class c extends o.Model{constructor(t){super(t)}static init_LayoutDOM(){this.define({width:[a.Number,null],height:[a.Number,null],min_width:[a.Number,null],min_height:[a.Number,null],max_width:[a.Number,null],max_height:[a.Number,null],margin:[a.Any,[0,0,0,0]],width_policy:[a.Any,\"auto\"],height_policy:[a.Any,\"auto\"],aspect_ratio:[a.Any,null],sizing_mode:[a.SizingMode,null],visible:[a.Boolean,!0],disabled:[a.Boolean,!1],align:[a.Any,\"start\"],background:[a.Color,null],css_classes:[a.Array,[]]})}}e.LayoutDOM=c,c.__name__=\"LayoutDOM\",c.init_LayoutDOM()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_root=\"bk-root\"},\n      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),n=t(192),l=s.__importStar(t(18));class u extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new n.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class _ extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define({rows:[l.Any,\"auto\"]})}}i.Column=_,_.__name__=\"Column\",_.init_Column()},\n      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1),e=t(245),n=t(192),l=o.__importStar(t(18));class r extends e.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children.map(([t])=>t)}_update_layout(){this.layout=new n.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,i,s,o,e]of this.model.children){const n=this._child_views.get(t);this.layout.items.push({layout:n.layout,row:i,col:s,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}s.GridBoxView=r,r.__name__=\"GridBoxView\";class a extends e.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=r,this.define({children:[l.Array,[]],rows:[l.Any,\"auto\"],cols:[l.Any,\"auto\"],spacing:[l.Any,0]})}}s.GridBox=a,a.__name__=\"GridBox\",a.init_GridBox()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(245),_=e(188);class n extends s.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new _.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=n,n.__name__=\"HTMLBoxView\";class i extends s.LayoutDOM{constructor(e){super(e)}}o.HTMLBox=i,i.__name__=\"HTMLBox\"},\n      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),_=t(192),a=s.__importStar(t(18));class n extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new _.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=n,n.__name__=\"RowView\";class l extends e.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=n,this.define({cols:[a.Any,\"auto\"]})}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(245),s=e(188);class _ extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new s.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=_,_.__name__=\"SpacerView\";class o extends i.LayoutDOM{constructor(e){super(e)}static init_Spacer(){this.prototype.default_view=_}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(188),l=e(68),h=e(9),o=i.__importStar(e(18)),c=e(245),d=e(71),r=e(146),n=e(253),_=e(254),b=e(255),p=i.__importDefault(e(256)),u=i.__importDefault(e(257)),m=i.__importDefault(e(258));class v extends c.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,()=>this.rebuild()),this.connect(this.model.properties.active.change,()=>this.on_active_change())}styles(){return[...super.styles(),p.default,u.default,m.default]}get child_models(){return this.model.tabs.map(e=>e.child)}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const a=l.size(s),o=l.children(i).slice(0,3).map(e=>l.size(e)),{width:c,height:d}=super._measure(e);if(t){const t=a.width+h.sum(o.map(e=>e.width));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+h.sum(o.map(e=>e.height));return{width:c,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let o=1,c=1;switch(e){case\"above\":o-=1;break;case\"below\":o+=1;break;case\"left\":c-=1;break;case\"right\":c+=1}const d={layout:this.header,row:o,col:c},r=this.child_views.map(e=>({layout:e.layout,row:1,col:1}));this.layout=new a.Grid([d,...r]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",l.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=l.size(this.scroll_el),i=l.scroll_size(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",l.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",l.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)l.hide(e.el);const h=a[this.model.active];null!=h&&l.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map((t,s)=>{const i=l.div({class:[n.bk_tab,s==e?r.bk_active:null]},t.title);if(i.addEventListener(\"click\",e=>{e.target==e.currentTarget&&this.change_active(s)}),t.closable){const e=l.div({class:n.bk_close});e.addEventListener(\"click\",e=>{if(e.target==e.currentTarget){this.model.tabs=h.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}}),i.appendChild(e)}return i});this.headers_el=l.div({class:[n.bk_headers]},i),this.wrapper_el=l.div({class:n.bk_headers_wrapper},this.headers_el);const a=l.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},l.div({class:[b.bk_caret,r.bk_left]})),o=l.div({class:[_.bk_btn,_.bk_btn_default]},l.div({class:[b.bk_caret,r.bk_right]}));let c=0;const d=e=>()=>{const t=this.model.tabs.length;c=\"left\"==e?Math.max(c-1,0):Math.min(c+1,t-1),0==c?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),c==t-1?o.setAttribute(\"disabled\",\"\"):o.removeAttribute(\"disabled\");const i=l.children(this.headers_el).slice(0,c).map(e=>e.getBoundingClientRect());if(s){const e=-h.sum(i.map(e=>e.width));this.headers_el.style.left=e+\"px\"}else{const e=-h.sum(i.map(e=>e.height));this.headers_el.style.top=e+\"px\"}};a.addEventListener(\"click\",d(\"left\")),o.addEventListener(\"click\",d(\"right\")),this.scroll_el=l.div({class:_.bk_btn_group},a,o),this.header_el=l.div({class:[n.bk_tabs_header,r.bk_side(t)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=l.children(this.headers_el);for(const e of t)e.classList.remove(r.bk_active);t[e].classList.add(r.bk_active);const{child_views:s}=this;for(const e of s)l.hide(e.el);l.show(s[e].el)}}s.TabsView=v,v.__name__=\"TabsView\";class g extends c.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=v,this.define({tabs:[o.Array,[]],tabs_location:[o.Location,\"above\"],active:[o.Number,0]})}}s.Tabs=g,g.__name__=\"Tabs\",g.init_Tabs();class w extends d.Model{constructor(e){super(e)}static init_Panel(){this.define({title:[o.String,\"\"],child:[o.Instance],closable:[o.Boolean,!1]})}}s.Panel=w,w.__name__=\"Panel\",w.init_Panel()},\n      function _(e,b,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.bk_tabs_header=\"bk-tabs-header\",a.bk_headers_wrapper=\"bk-headers-wrapper\",a.bk_headers=\"bk-headers\",a.bk_tab=\"bk-tab\",a.bk_close=\"bk-close\"},\n      function _(n,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_btn=\"bk-btn\",t.bk_btn_group=\"bk-btn-group\",t.bk_btn_default=\"bk-btn-default\",t.bk_btn_primary=\"bk-btn-primary\",t.bk_btn_success=\"bk-btn-success\",t.bk_btn_warning=\"bk-btn-warning\",t.bk_btn_danger=\"bk-btn-danger\",t.bk_btn_type=function(n){switch(n){case\"default\":return t.bk_btn_default;case\"primary\":return t.bk_btn_primary;case\"success\":return t.bk_btn_success;case\"warning\":return t.bk_btn_warning;case\"danger\":return t.bk_btn_danger}},t.bk_dropdown_toggle=\"bk-dropdown-toggle\"},\n      function _(e,b,d){Object.defineProperty(d,\"__esModule\",{value:!0}),d.bk_menu=\"bk-menu\",d.bk_caret=\"bk-caret\",d.bk_divider=\"bk-divider\"},\n      function _(n,o,b){Object.defineProperty(b,\"__esModule\",{value:!0});b.default=\"\\n.bk-root .bk-btn {\\n  height: 100%;\\n  display: inline-block;\\n  text-align: center;\\n  vertical-align: middle;\\n  white-space: nowrap;\\n  cursor: pointer;\\n  padding: 6px 12px;\\n  font-size: 12px;\\n  border: 1px solid transparent;\\n  border-radius: 4px;\\n  outline: 0;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-btn:hover,\\n.bk-root .bk-btn:focus {\\n  text-decoration: none;\\n}\\n.bk-root .bk-btn:active,\\n.bk-root .bk-btn.bk-active {\\n  background-image: none;\\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\\n}\\n.bk-root .bk-btn[disabled] {\\n  cursor: not-allowed;\\n  pointer-events: none;\\n  opacity: 0.65;\\n  box-shadow: none;\\n}\\n.bk-root .bk-btn-default {\\n  color: #333;\\n  background-color: #fff;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n  background-color: #f5f5f5;\\n  border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n  background-color: #ebebeb;\\n  border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n  background-color: #e6e6e6;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n  color: #fff;\\n  background-color: #428bca;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n  background-color: #3681c1;\\n  border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n  background-color: #3276b1;\\n  border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n  background-color: #506f89;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n  color: #fff;\\n  background-color: #5cb85c;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n  background-color: #4eb24e;\\n  border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n  background-color: #47a447;\\n  border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n  background-color: #667b66;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n  color: #fff;\\n  background-color: #f0ad4e;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n  background-color: #eea43b;\\n  border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n  background-color: #ed9c28;\\n  border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n  background-color: #c89143;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n  color: #fff;\\n  background-color: #d9534f;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n  background-color: #d5433e;\\n  border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n  background-color: #d2322d;\\n  border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n  background-color: #a55350;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n  height: 100%;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n  margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n  border-bottom-right-radius: 0;\\n  border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n  border-bottom-left-radius: 0;\\n  border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n  border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n  flex: 0 0 0;\\n  -webkit-flex: 0 0 0;\\n  padding: 6px 6px;\\n}\\n\"},\n      function _(n,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});r.default=\"\\n.bk-root .bk-menu-icon {\\n  width: 28px;\\n  height: 28px;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-context-menu {\\n  position: absolute;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n  width: auto;\\n  height: auto;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-context-menu.bk-horizontal {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-context-menu.bk-vertical {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-context-menu > .bk-divider {\\n  cursor: default;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > .bk-divider {\\n  width: 1px;\\n  margin: 5px 0;\\n}\\n.bk-root .bk-context-menu.bk-vertical > .bk-divider {\\n  height: 1px;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider) {\\n  border: 1px solid transparent;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider).bk-active {\\n  border-color: #26aae1;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider):hover {\\n  background-color: #f9f9f9;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-bottom-left-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child {\\n  border-top-right-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-top-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child {\\n  border-bottom-left-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-menu {\\n  position: absolute;\\n  left: 0;\\n  width: 100%;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n  bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n  top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n  height: 1px;\\n  margin: 7.5px 0;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n  padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n  background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n  display: inline-block;\\n  vertical-align: middle;\\n  width: 0;\\n  height: 0;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-caret.bk-down {\\n  border-top: 4px solid;\\n}\\n.bk-root .bk-caret.bk-up {\\n  border-bottom: 4px solid;\\n}\\n.bk-root .bk-caret.bk-down,\\n.bk-root .bk-caret.bk-up {\\n  border-right: 4px solid transparent;\\n  border-left: 4px solid transparent;\\n}\\n.bk-root .bk-caret.bk-left {\\n  border-right: 4px solid;\\n}\\n.bk-root .bk-caret.bk-right {\\n  border-left: 4px solid;\\n}\\n.bk-root .bk-caret.bk-left,\\n.bk-root .bk-caret.bk-right {\\n  border-top: 4px solid transparent;\\n  border-bottom: 4px solid transparent;\\n}\\n\"},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default='\\n.bk-root .bk-tabs-header {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  overflow: hidden;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group {\\n  height: auto;\\n  margin-right: 5px;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group > .bk-btn {\\n  flex-grow: 0;\\n  -webkit-flex-grow: 0;\\n  height: auto;\\n  padding: 4px 4px;\\n}\\n.bk-root .bk-tabs-header .bk-headers-wrapper {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  overflow: hidden;\\n  color: #666666;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper {\\n  border-bottom: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper {\\n  border-left: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper {\\n  border-top: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper {\\n  border-right: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-above,\\n.bk-root .bk-tabs-header.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers,\\n.bk-root .bk-tabs-header.bk-below .bk-headers {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-left,\\n.bk-root .bk-tabs-header.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers,\\n.bk-root .bk-tabs-header.bk-right .bk-headers {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header .bk-headers {\\n  position: relative;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n}\\n.bk-root .bk-tabs-header .bk-tab {\\n  padding: 4px 8px;\\n  border: solid transparent;\\n  white-space: nowrap;\\n  cursor: pointer;\\n}\\n.bk-root .bk-tabs-header .bk-tab:hover {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .bk-tabs-header .bk-tab.bk-active {\\n  color: #4d4d4d;\\n  background-color: white;\\n  border-color: #e6e6e6;\\n}\\n.bk-root .bk-tabs-header .bk-tab .bk-close {\\n  margin-left: 10px;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-tab {\\n  border-width: 3px 1px 0px 1px;\\n  border-radius: 4px 4px 0 0;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-tab {\\n  border-width: 1px 3px 1px 0px;\\n  border-radius: 0 4px 4px 0;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-tab {\\n  border-width: 0px 1px 3px 1px;\\n  border-radius: 0 0 4px 4px;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-tab {\\n  border-width: 1px 0px 1px 3px;\\n  border-radius: 4px 0 0 4px;\\n}\\n.bk-root .bk-close {\\n  display: inline-block;\\n  width: 10px;\\n  height: 10px;\\n  vertical-align: middle;\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"gray\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"gray\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n.bk-root .bk-close:hover {\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"red\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"red\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n'},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(247);class _ extends o.ColumnView{}i.WidgetBoxView=_,_.__name__=\"WidgetBoxView\";class n extends o.Column{constructor(e){super(e)}static init_WidgetBox(){this.prototype.default_view=_}}i.WidgetBox=n,n.__name__=\"WidgetBox\",n.init_WidgetBox()},\n      function _(r,a,o){Object.defineProperty(o,\"__esModule\",{value:!0});var e=r(261);o.CategoricalColorMapper=e.CategoricalColorMapper;var p=r(263);o.CategoricalMarkerMapper=p.CategoricalMarkerMapper;var l=r(264);o.CategoricalPatternMapper=l.CategoricalPatternMapper;var C=r(116);o.ContinuousColorMapper=C.ContinuousColorMapper;var M=r(117);o.ColorMapper=M.ColorMapper;var t=r(115);o.LinearColorMapper=t.LinearColorMapper;var i=r(265);o.LogColorMapper=i.LogColorMapper},\n      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),a=r(262),c=r(117),i=o.__importStar(r(18));class s extends c.ColorMapper{constructor(r){super(r)}static init_CategoricalColorMapper(){this.define({factors:[i.Array],start:[i.Number,0],end:[i.Number]})}_v_compute(r,t,e,{nan_color:o}){a.cat_v_compute(r,this.factors,e,t,this.start,this.end,o)}}e.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(12),i=e(8);function u(e,n){if(e.length!=n.length)return!1;for(let t=0,l=e.length;t<l;t++)if(e[t]!==n[t])return!1;return!0}t._cat_equals=u,t.cat_v_compute=function(e,n,t,c,f,o,r){for(let _=0,g=e.length;_<g;_++){let 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init_CategoricalPatternMapper(){this.define({factors:[i.Array],patterns:[i.Array],start:[i.Number,0],end:[i.Number],default_value:[i.HatchPatternType,\" \"]})}v_compute(t){const e=new Array(t.length);return n.cat_v_compute(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=c,c.__name__=\"CategoricalPatternMapper\",c.init_CategoricalPatternMapper()},\n      function _(o,l,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=o(116),e=o(12);class i extends t.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,l,n,t){const{nan_color:i,low_color:h,high_color:c}=t,r=n.length,s=null!=this.low?this.low:e.min(o),u=null!=this.high?this.high:e.max(o),a=r/(Math.log(u)-Math.log(s)),g=n.length-1;for(let t=0,e=o.length;t<e;t++){const e=o[t];if(isNaN(e)){l[t]=i;continue}if(e>u){l[t]=null!=c?c:n[g];continue}if(e==u){l[t]=n[g];continue}if(e<s){l[t]=null!=h?h:n[0];continue}const r=Math.log(e)-Math.log(s);let 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init_Toolbar(){this.prototype.default_view=a.ToolbarBaseView,this.define({active_drag:[i.Any,\"auto\"],active_inspect:[i.Any,\"auto\"],active_scroll:[i.Any,\"auto\"],active_tap:[i.Any,\"auto\"],active_multi:[i.Any,null]})}connect_signals(){super.connect_signals();const{tools:t,active_drag:s,active_inspect:e,active_scroll:i,active_tap:c,active_multi:o}=this.properties;this.on_change([t,s,e,i,c,o],()=>this._init_tools())}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof n.InspectTool){let t=!1;for(const s of this.inspectors)s!=this.active_inspect?s.active=!1:t=!0;t||(this.active_inspect=null)}else if(c.isArray(this.active_inspect)){const t=o.intersection(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)o.includes(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t in this.gestures){const s=this.gestures[t];s.tools=o.sort_by(s.tools,t=>t.default_order);for(const t of s.tools)this.connect(t.properties.active.change,()=>this._active_change(t))}for(const s in this.gestures){const e=l(s);if(e){const i=this[e];if(\"auto\"==i){const e=this.gestures[s];0!=e.tools.length&&r(s)&&t(e.tools[0])}else null!=i&&(o.includes(this.tools,i)?t(i):this[e]=null)}}}}e.Toolbar=_,_.__name__=\"Toolbar\",_.init_Toolbar()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(1),s=e(275),i=e(282),_=n.__importStar(e(18));class c extends s.ButtonToolView{}o.InspectToolView=c,c.__name__=\"InspectToolView\";class l extends s.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}static 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mt.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=vt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(yt,mt,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(Tt,pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[\"auto\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime>e.time;if(this._input=t,!i||!n||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return 32},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Et,mt,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(It,mt,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return gt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,n=this.options.direction;return 30&n?e=t.overallVelocity:6&n?e=t.overallVelocityX:24&n&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&n&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=vt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(At,pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[\"manipulation\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime<e.time;if(this.reset(),1&t.eventType&&0===this.count)return this.failTimeout();if(i&&r&&n){if(4!=t.eventType)return this.failTimeout();var s=!this.pTime||t.timeStamp-this.pTime<e.interval,o=!this.pCenter||L(this.pCenter,t.center)<e.posThreshold;if(this.pTime=t.timeStamp,this.pCenter=t.center,o&&s?this.count+=1:this.count=1,this._input=t,0===this.count%e.taps)return this.hasRequireFailures()?(this._timer=l((function(){this.state=8,this.tryEmit()}),e.interval,this),2):8}return 32},failTimeout:function(){return this._timer=l((function(){this.state=32}),this.options.interval,this),32},reset:function(){clearTimeout(this._timer)},emit:function(){8==this.state&&(this._input.tapCount=this.count,this.manager.emit(this.options.event,this._input))}}),_t.VERSION=\"2.0.7\",_t.defaults={domEvents:!1,touchAction:\"compute\",enable:!0,inputTarget:null,inputClass:null,preset:[[Et,{enable:!1}],[yt,{enable:!1},[\"rotate\"]],[It,{direction:6}],[gt,{direction:6},[\"swipe\"]],[At],[At,{event:\"doubletap\",taps:2},[\"tap\"]],[Tt]],cssProps:{userSelect:\"none\",touchSelect:\"none\",touchCallout:\"none\",contentZooming:\"none\",userDrag:\"none\",tapHighlightColor:\"rgba(0,0,0,0)\"}};function Ct(t,e){var n;this.options=s({},_t.defaults,e||{}),this.options.inputTarget=this.options.inputTarget||t,this.handlers={},this.session={},this.recognizers=[],this.oldCssProps={},this.element=t,this.input=new((n=this).options.inputClass||(M?J:z?nt:R?rt:j))(n,F),this.touchAction=new lt(this,this.options.touchAction),St(this,!0),f(this.options.recognizers,(function(t){var e=this.add(new t[0](t[1]));t[2]&&e.recognizeWith(t[2]),t[3]&&e.requireFailure(t[3])}),this)}function St(t,e){var n,i=t.element;i.style&&(f(t.options.cssProps,(function(r,s){n=D(i.style,s),e?(t.oldCssProps[n]=i.style[n],i.style[n]=r):i.style[n]=t.oldCssProps[n]||\"\"})),e||(t.oldCssProps={}))}Ct.prototype={set:function(t){return s(this.options,t),t.touchAction&&this.touchAction.update(),t.inputTarget&&(this.input.destroy(),this.input.target=t.inputTarget,this.input.init()),this},stop:function(t){this.session.stopped=t?2:1},recognize:function(t){var e=this.session;if(!e.stopped){var n;this.touchAction.preventDefaults(t);var i=this.recognizers,r=e.curRecognizer;(!r||r&&8&r.state)&&(r=e.curRecognizer=null);for(var s=0;s<i.length;)n=i[s],2===e.stopped||r&&n!=r&&!n.canRecognizeWith(r)?n.reset():n.recognize(t),!r&&14&n.state&&(r=e.curRecognizer=n),s++}},get:function(t){if(t instanceof pt)return t;for(var e=this.recognizers,n=0;n<e.length;n++)if(e[n].options.event==t)return e[n];return null},add:function(t){if(p(t,\"add\",this))return this;var e=this.get(t.options.event);return e&&this.remove(e),this.recognizers.push(t),t.manager=this,this.touchAction.update(),t},remove:function(t){if(p(t,\"remove\",this))return this;if(t=this.get(t)){var e=this.recognizers,n=b(e,t);-1!==n&&(e.splice(n,1),this.touchAction.update())}return this},on:function(t,e){if(void 0!==t&&void 0!==e){var n=this.handlers;return f(S(t),(function(t){n[t]=n[t]||[],n[t].push(e)})),this}},off:function(t,e){if(void 0!==t){var n=this.handlers;return f(S(t),(function(t){e?n[t]&&n[t].splice(b(n[t],e),1):delete n[t]})),this}},emit:function(t,e){this.options.domEvents&&function(t,e){var i=n.createEvent(\"Event\");i.initEvent(t,!0,!0),i.gesture=e,e.target.dispatchEvent(i)}(t,e);var i=this.handlers[t]&&this.handlers[t].slice();if(i&&i.length){e.type=t,e.preventDefault=function(){e.srcEvent.preventDefault()};for(var r=0;r<i.length;)i[r](e),r++}},destroy:function(){this.element&&St(this,!1),this.handlers={},this.session={},this.input.destroy(),this.element=null}},s(_t,{INPUT_START:1,INPUT_MOVE:2,INPUT_END:4,INPUT_CANCEL:8,STATE_POSSIBLE:1,STATE_BEGAN:2,STATE_CHANGED:4,STATE_ENDED:8,STATE_RECOGNIZED:8,STATE_CANCELLED:16,STATE_FAILED:32,DIRECTION_NONE:1,DIRECTION_LEFT:2,DIRECTION_RIGHT:4,DIRECTION_UP:8,DIRECTION_DOWN:16,DIRECTION_HORIZONTAL:6,DIRECTION_VERTICAL:24,DIRECTION_ALL:30,Manager:Ct,Input:Y,TouchAction:lt,TouchInput:nt,MouseInput:j,PointerEventInput:J,TouchMouseInput:rt,SingleTouchInput:Q,Recognizer:pt,AttrRecognizer:mt,Tap:At,Pan:gt,Swipe:It,Pinch:yt,Rotate:Et,Press:Tt,on:I,off:A,each:f,merge:m,extend:d,assign:s,inherit:g,bindFn:y,prefixed:D}),(void 0!==t?t:\"undefined\"!=typeof self?self:{}).Hammer=_t,\"function\"==typeof define&&define.amd?define((function(){return _t})):void 0!==e&&e.exports?e.exports=_t:t.Hammer=_t}(window,document)},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1).__importStar(t(18)),o=t(67),s=t(9),a=t(71);class r extends o.View{get plot_view(){return this.parent}get plot_model(){return this.parent.model}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>{this.model.active?this.activate():this.deactivate()})}activate(){}deactivate(){}}i.ToolView=r,r.__name__=\"ToolView\";class _ extends a.Model{constructor(t){super(t)}static init_Tool(){this.prototype._known_aliases=new Map,this.internal({active:[n.Boolean,!1]})}get synthetic_renderers(){return[]}_get_dim_tooltip(t,e){switch(e){case\"width\":return t+\" (x-axis)\";case\"height\":return t+\" (y-axis)\";case\"both\":return t}}_get_dim_limits([t,e],[i,n],o,a){const r=o.bbox.h_range;let _;\"width\"==a||\"both\"==a?(_=[s.min([t,i]),s.max([t,i])],_=[s.max([_[0],r.start]),s.min([_[1],r.end])]):_=[r.start,r.end];const l=o.bbox.v_range;let c;return\"height\"==a||\"both\"==a?(c=[s.min([e,n]),s.max([e,n])],c=[s.max([c[0],l.start]),s.min([c[1],l.end])]):c=[l.start,l.end],[_,c]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}i.Tool=_,_.__name__=\"Tool\",_.init_Tool()},\n      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_toolbar=\"bk-toolbar\",t.bk_toolbar_hidden=\"bk-toolbar-hidden\",t.bk_toolbar_button=\"bk-toolbar-button\",t.bk_button_bar=\"bk-button-bar\",t.bk_toolbar_button_custom_action=\"bk-toolbar-button-custom-action\"},\n      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-toolbar-hidden {\\n  visibility: hidden;\\n  opacity: 0;\\n  transition: visibility 0.3s linear, opacity 0.3s linear;\\n}\\n.bk-root .bk-toolbar,\\n.bk-root .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-toolbar .bk-logo {\\n  flex-shrink: 0;\\n  -webkit-flex-shrink: 0;\\n}\\n.bk-root .bk-toolbar.bk-above,\\n.bk-root .bk-toolbar.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n  justify-content: flex-end;\\n  -webkit-justify-content: flex-end;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-logo,\\n.bk-root .bk-toolbar.bk-below .bk-logo {\\n  order: 1;\\n  -webkit-order: 1;\\n  margin-left: 5px;\\n  margin-right: 0px;\\n}\\n.bk-root .bk-toolbar.bk-left,\\n.bk-root .bk-toolbar.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  justify-content: flex-start;\\n  -webkit-justify-content: flex-start;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-logo,\\n.bk-root .bk-toolbar.bk-right .bk-logo {\\n  order: 0;\\n  -webkit-order: 0;\\n  margin-bottom: 5px;\\n  margin-top: 0px;\\n}\\n.bk-root .bk-toolbar-button {\\n  width: 30px;\\n  height: 30px;\\n  cursor: pointer;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-toolbar-button:hover {\\n  background-color: rgba(192, 192, 192, 0.15);\\n}\\n.bk-root .bk-toolbar-button:focus {\\n  outline: none;\\n}\\n.bk-root .bk-toolbar-button::-moz-focus-inner {\\n  border: 0;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button {\\n  border-bottom: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button.bk-active {\\n  border-bottom-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button {\\n  border-top: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button.bk-active {\\n  border-top-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button {\\n  border-left: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button.bk-active {\\n  border-left-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button {\\n  border-right: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button.bk-active {\\n  border-right-color: #26aae1;\\n}\\n.bk-root .bk-button-bar + .bk-button-bar:before {\\n  content: \" \";\\n  display: inline-block;\\n  background-color: lightgray;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar + .bk-button-bar:before {\\n  height: 10px;\\n  width: 1px;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar + .bk-button-bar:before {\\n  height: 1px;\\n  width: 10px;\\n}\\n'},\n      function _(A,g,C){Object.defineProperty(C,\"__esModule\",{value:!0});C.default='\\n.bk-root .bk-tool-icon-replace-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxokK3gniQAAAHpJREFUWMNjXLhsJcNAAiaGAQajDhhwB7DgEP+PxmeksvjgDwFcLmYkUh2hkBj8IcBIZXsYh1w2/I8v3sgAOM0bLYhGc8GgrwuICgldfQO88pcvXvg/aOuCUQeM5oLRuoCFCJcTbOMh5XOiW0JDNhdQS3y0IBp1ABwAAF8KGrhC1Eg6AAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-append-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkZWD04WwAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAAAoUlEQVRYw+1WQQ6AIAwrhO8Y/bIXEz9jIMSDr8ETCUEPQzA4pMeFLKNbu4l5WR0CDOMEALBGIzMuQIBEZQjPgP9JLjwTfBjY9sO9lZsFA9IafZng3BlIyVefgd8XQFZBAWe8jfNxwsDhir6rzoCiPiy1K+J8/FRQemv2XfAdFcQ9znU4Viqg9ta1qYJ+D1BnAIBrkgGVOrXNqUA9rbyZm/AEzFh4jEeY/soAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-intersect-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkrkOpp2wAAAPhJREFUWMPtV1EKwjAMTUavI3oawR/vtn5srJdREfzwMvHHQlcT2mpdMzFfWxiP5r2+JMN+mAiCOB72CABgR1cln4oOGocJnuMTSxWk8jMm7OggYkYXA9gPE3uyd8NXHONJ+eYMdE/NqCJmEZ5ZqlJJ4sUksKN7cYSaPoCZFWR1QI+Xm1fBACU63Cw22x0AAJxudwrffVwvZ+JmQdAHZkw0d4EpAMCw8k87pMdbnwtizQumJYv3nwV6XOA1qbUT/oQLUJgFRbsiNwFVucBIlyR3p0tdMp+XmFjfLKi1LatyAXtCRjPWBdL3Ke3VuACJKFfDr/xFN2fgAR/Go0qaLlmEAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-subtract-mode {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-clear-selection {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-box-select {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg0kduFrowAAAIdJREFUWMPtVtEKwCAI9KL//4e9DPZ3+wP3KgOjNZouFYI4C8q7s7DtB1lGIeMoRMRinCLXg/ML3EcFqpjjloOyZxRntxpwQ8HsgHYARKFAtSFrCg3TCdMFCE1BuuALEXJLjC4qENsFVXCESZw38/kWLOkC/K4PcOc/Hj03WkoDT3EaWW9egQul6CUbq90JTwAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-box-zoom {\\n  background-image: 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background-image: 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url(\"data:image/png;base64,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\");\\n}\\n'},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(68),o=n.__importStar(t(255));class l{constructor(t,e={}){this.items=t,this.options=e,this.el=s.div(),this._open=!1,this._item_click=t=>{var e;null===(e=this.items[t])||void 0===e||e.handler(),this.hide()},this._on_mousedown=t=>{var e,i;const{target:n}=t;n instanceof Node&&this.el.contains(n)||(null===(i=(e=this.options).prevent_hide)||void 0===i?void 0:i.call(e,t))||this.hide()},this._on_keydown=t=>{t.keyCode==s.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},s.undisplay(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){s.remove(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=e.getBoundingClientRect();this.el.style.left=null!=t.left?t.left-i.left+\"px\":\"\",this.el.style.top=null!=t.top?t.top-i.top+\"px\":\"\",this.el.style.right=null!=t.right?i.right-t.right+\"px\":\"\",this.el.style.bottom=null!=t.bottom?i.bottom-t.bottom+\"px\":\"\"}}render(){var t;s.empty(this.el,!0);const e=null!==(t=this.options.orientation)&&void 0!==t?t:\"vertical\";s.classes(this.el).add(\"bk-context-menu\",\"bk-\"+e),s.append(this.el,...this.items.map((t,e)=>{var i;let n;if(null!=t){const e=null!=t.icon?s.div({class:[\"bk-menu-icon\",t.icon]}):null;n=s.div({class:(null===(i=t.active)||void 0===i?void 0:i.call(t))?\"bk-active\":null,title:t.tooltip},e,t.label)}else n=s.div({class:o.bk_divider});return n.addEventListener(\"click\",()=>this._item_click(e)),n}))}show(t){0!=this.items.length&&(this._open||(this.render(),this._position(null!=t?t:{left:0,top:0}),s.display(this.el),this._listen(),this._open=!0))}hide(){this._open&&(this._open=!1,this._unlisten(),s.undisplay(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=l,l.__name__=\"ContextMenu\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(275),i=e(146),s=e(68);class c extends o.ButtonToolButtonView{render(){super.render(),s.classes(this.el).toggle(i.bk_active,this.model.active)}_clicked(){const{active:e}=this.model;this.model.active=!e}}n.OnOffButtonView=c,c.__name__=\"OnOffButtonView\"},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(72),l=t(68),n=t(99),a=i.__importStar(t(18)),r=t(66),_=t(9),c=t(8),h=t(71),u=t(284),v=t(285),d=t(286),b=t(274),p=t(278),g=t(288),f=t(146),m=i.__importDefault(t(279)),w=i.__importDefault(t(289));class y extends h.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define({_visible:[a.Any,null],autohide:[a.Boolean,!1]})}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=y,y.__name__=\"ToolbarViewModel\",y.init_ToolbarViewModel();class T extends r.DOMView{initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new y({autohide:this.model.autohide})}async lazy_initialize(){await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,async()=>{await this._build_tool_button_views(),this.render()}),this.connect(this.model.properties.autohide.change,()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()}),this.connect(this._toolbar_view_model.properties._visible.change,()=>this._on_visible_change())}styles(){return[...super.styles(),m.default,w.default]}remove(){n.remove_views(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await n.build_views(this._tool_button_views,t,{parent:this},t=>t.button_view)}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const t=this._toolbar_view_model.visible,o=p.bk_toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(l.empty(this.el),this.el.classList.add(p.bk_toolbar),this.el.classList.add(f.bk_side(this.model.toolbar_location)),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?g.bk_grey:null,o=l.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[g.bk_logo,g.bk_logo_small,t]});this.el.appendChild(o)}for(const[,t]of this._tool_button_views)t.render();const t=[],o=t=>this._tool_button_views.get(t).el,{gestures:e}=this.model;for(const i in e)t.push(e[i].tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter(t=>t.toggleable).map(o));for(const o of t)if(0!==o.length){const t=l.div({class:p.bk_button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}}function k(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=T,T.__name__=\"ToolbarBaseView\";class M extends h.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=T,this.define({tools:[a.Array,[]],logo:[a.Logo,\"normal\"],autohide:[a.Boolean,!1]}),this.internal({gestures:[a.Any,k],actions:[a.Array,[]],inspectors:[a.Array,[]],help:[a.Array,[]],toolbar_location:[a.Location,\"right\"]})}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map(t=>t.id));return _.some(t,t=>!e.has(t.id))},o=this.tools.filter(t=>t instanceof b.InspectTool);t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter(t=>t instanceof d.HelpTool);t(this.help,e)&&(this.help=e);const i=this.tools.filter(t=>t instanceof v.ActionTool);t(this.actions,i)&&(this.actions=i);const l=(t,o)=>{t in this.gestures||s.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},n={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof u.GestureTool&&t.event_type)if(c.isString(t.event_type))n[t.event_type].tools.push(t),l(t.event_type,t);else{n.multi.tools.push(t);for(const o of t.event_type)l(o,t)}for(const o of Object.keys(n)){const e=this.gestures[o];t(e.tools,n[o].tools)&&(e.tools=n[o].tools),e.active&&_.every(e.tools,t=>t.id!=e.active.id)&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=c.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(s.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,s.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=M,M.__name__=\"ToolbarBase\",M.init_ToolbarBase()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(275),n=e(282);class u extends s.ButtonToolView{}t.GestureToolView=u,u.__name__=\"GestureToolView\";class _ extends s.ButtonTool{constructor(e){super(e),this.button_view=n.OnOffButtonView}}t.GestureTool=_,_.__name__=\"GestureTool\"},\n      function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=o(275),i=o(14);class s extends e.ButtonToolButtonView{_clicked(){this.model.do.emit()}}n.ActionToolButtonView=s,s.__name__=\"ActionToolButtonView\";class c extends e.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,()=>this.doit())}}n.ActionToolView=c,c.__name__=\"ActionToolView\";class l extends e.ButtonTool{constructor(o){super(o),this.button_view=s,this.do=new i.Signal0(this,\"do\")}}n.ActionTool=l,l.__name__=\"ActionTool\"},\n      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(1),l=o(285),s=i.__importStar(o(18)),n=o(287);class _ extends l.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=_,_.__name__=\"HelpToolView\";class r extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.bk_tool_icon_help}static init_HelpTool(){this.prototype.default_view=_,this.define({help_tooltip:[s.String,\"Click the question mark to learn more about Bokeh plot tools.\"],redirect:[s.String,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}),this.register_alias(\"help\",()=>new r)}get tooltip(){return this.help_tooltip}}t.HelpTool=r,r.__name__=\"HelpTool\",r.init_HelpTool()},\n      function _(o,_,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tool_icon_box_select=\"bk-tool-icon-box-select\",l.bk_tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",l.bk_tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",l.bk_tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",l.bk_tool_icon_help=\"bk-tool-icon-help\",l.bk_tool_icon_hover=\"bk-tool-icon-hover\",l.bk_tool_icon_crosshair=\"bk-tool-icon-crosshair\",l.bk_tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",l.bk_tool_icon_pan=\"bk-tool-icon-pan\",l.bk_tool_icon_xpan=\"bk-tool-icon-xpan\",l.bk_tool_icon_ypan=\"bk-tool-icon-ypan\",l.bk_tool_icon_range=\"bk-tool-icon-range\",l.bk_tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",l.bk_tool_icon_redo=\"bk-tool-icon-redo\",l.bk_tool_icon_reset=\"bk-tool-icon-reset\",l.bk_tool_icon_save=\"bk-tool-icon-save\",l.bk_tool_icon_tap_select=\"bk-tool-icon-tap-select\",l.bk_tool_icon_undo=\"bk-tool-icon-undo\",l.bk_tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",l.bk_tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",l.bk_tool_icon_box_edit=\"bk-tool-icon-box-edit\",l.bk_tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",l.bk_tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",l.bk_tool_icon_point_draw=\"bk-tool-icon-point-draw\",l.bk_tool_icon_poly_edit=\"bk-tool-icon-poly-edit\",l.bk_tool_icon_line_edit=\"bk-tool-icon-line-edit\"},\n      function _(o,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_logo=\"bk-logo\",b.bk_logo_notebook=\"bk-logo-notebook\",b.bk_logo_small=\"bk-logo-small\",b.bk_grey=\"bk-grey\"},\n      function _(l,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-logo {\\n  margin: 5px;\\n  position: relative;\\n  display: block;\\n  background-repeat: no-repeat;\\n}\\n.bk-root .bk-logo.bk-grey {\\n  filter: url(\\\"data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg'><filter id='grayscale'><feColorMatrix type='matrix' values='0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0'/></filter></svg>#grayscale\\\");\\n  /* Firefox 10+, Firefox on Android */\\n  filter: gray;\\n  /* IE6-9 */\\n  -webkit-filter: grayscale(100%);\\n  /* Chrome 19+, Safari 6+, Safari 6+ iOS */\\n}\\n.bk-root .bk-logo-small {\\n  width: 20px;\\n  height: 20px;\\n  background-image: 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e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left),s=this.right_panel.measure({width:0,height:t.height}),n=Math.max(s.width,this.min_border.right),a=this.top_panel.measure({width:t.width,height:0}),o=Math.max(a.height,this.min_border.top),l=this.bottom_panel.measure({width:t.width,height:0}),r=Math.max(l.height,this.min_border.bottom),h=new x.Sizeable(t).shrink_by({left:i,right:n,top:o,bottom:r}),_=this.center_panel.measure(h);return{width:i+_.width+n,height:o+_.height+r,inner:{left:i,right:n,top:o,bottom:r},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),s=this.right_panel.measure({width:0,height:t.height}),n=this.top_panel.measure({width:t.width,height:0}),a=this.bottom_panel.measure({width:t.width,height:0}),{left:o,top:l,right:r,bottom:h}=e;this.top_panel.set_geometry(new O.BBox({left:o,right:r,bottom:l,height:n.height})),this.bottom_panel.set_geometry(new O.BBox({left:o,right:r,top:h,height:a.height})),this.left_panel.set_geometry(new O.BBox({top:l,bottom:h,right:o,width:i.width})),this.right_panel.set_geometry(new O.BBox({top:l,bottom:h,left:r,width:s.width}))}}i.PlotLayout=j,j.__name__=\"PlotLayout\";class P extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new O.BBox,this._inner_bbox=new O.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(t=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||t||this.request_paint()}request_render(){this.request_paint()}request_paint(t){if(null!=t?this._invalidated_painters.add(t):this._invalidate_all=!0,!this.is_paused){const t=this.throttled_paint();this._ready=this._ready.then(()=>t)}}request_layout(){this._needs_layout=!0,this.request_paint()}reset(){\"standard\"==this.model.reset_policy&&(this.clear_state(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new u.Reset)}remove(){this.ui_event_bus.destroy(),p.remove_views(this.renderer_views),p.remove_views(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.state_changed=new c.Signal0(this,\"state_changed\"),this.lod_started=!1,this.visuals=new m.Visuals(this.model),this._initial_state_info={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.state={history:[],index:-1};const{hidpi:t,output_backend:e}=this.model;this.canvas=new a.Canvas({hidpi:t,output_backend:e}),this.frame=new n.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges),this.throttled_paint=b.throttle(()=>this.repaint(),1e3/60);const{title_location:i,title:s}=this.model;null!=i&&null!=s&&(this._title=s instanceof h.Title?s:new h.Title({text:s}));const{toolbar_location:o,toolbar:l}=this.model;null!=o&&null!=l&&(this._toolbar=new d.ToolbarPanel({toolbar:l}),l.toolbar_location=o),this.renderer_views=new Map,this.tool_views=new Map}async lazy_initialize(){this.canvas_view=await p.build_view(this.canvas,{parent:this}),this.ui_event_bus=new g.UIEvents(this,this.model.toolbar,this.canvas_view.events_el),await this.build_renderer_views(),await this.build_tool_views(),this.update_dataranges(),this.unpause(!0),f.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){this.layout=new j,this.layout.set_sizing(this.box_sizing());const{frame_width:t,frame_height:e}=this.model;this.layout.center_panel=this.frame,this.layout.center_panel.set_sizing(Object.assign(Object.assign({},null!=t?{width_policy:\"fixed\",width:t}:{width_policy:\"fit\"}),null!=e?{height_policy:\"fixed\",height:e}:{height_policy:\"fit\"}));const i=v.copy(this.model.above),s=v.copy(this.model.below),n=v.copy(this.model.left),a=v.copy(this.model.right),o=t=>{switch(t){case\"above\":return i;case\"below\":return s;case\"left\":return n;case\"right\":return a}},{title_location:l,title:r}=this.model;null!=l&&null!=r&&o(l).push(this._title);const{toolbar_location:_,toolbar:u}=this.model;if(null!=_&&null!=u){const t=o(_);let e=!0;if(this.model.toolbar_sticky)for(let i=0;i<t.length;i++){const s=t[i];if(s instanceof h.Title){t[i]=\"above\"==_||\"below\"==_?[s,this._toolbar]:[this._toolbar,s],e=!1;break}}e&&t.push(this._toolbar)}const c=(t,e)=>{const i=this.renderer_views.get(e);return i.layout=new M.SidePanel(t,i)},p=(t,e)=>{const i=\"above\"==t||\"below\"==t,s=[];for(const n of e)if(w.isArray(n)){const e=n.map(e=>{const s=c(t,e);if(e instanceof d.ToolbarPanel){const t=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[t]:\"min\"}))}return s});let a;i?(a=new k.Row(e),a.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(a=new k.Column(e),a.set_sizing({width_policy:\"min\",height_policy:\"max\"})),a.absolute=!0,s.push(a)}else s.push(c(t,n));return s},g=null!=this.model.min_border?this.model.min_border:0;this.layout.min_border={left:null!=this.model.min_border_left?this.model.min_border_left:g,top:null!=this.model.min_border_top?this.model.min_border_top:g,right:null!=this.model.min_border_right?this.model.min_border_right:g,bottom:null!=this.model.min_border_bottom?this.model.min_border_bottom:g};const m=new z.VStack,f=new z.VStack,b=new z.HStack,y=new z.HStack;m.children=v.reversed(p(\"above\",i)),f.children=p(\"below\",s),b.children=v.reversed(p(\"left\",n)),y.children=p(\"right\",a),m.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),f.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),b.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),y.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.top_panel=m,this.layout.bottom_panel=f,this.layout.left_panel=b,this.layout.right_panel=y}get axis_views(){const t=[];for(const[,e]of this.renderer_views)e instanceof _.AxisView&&t.push(e);return t}set_cursor(t=\"default\"){this.canvas_view.el.style.cursor=t}set_toolbar_visibility(t){for(const e of this.visibility_callbacks)e(t)}update_dataranges(){const t=new Map,e=new Map;let i=!1;for(const t of y.values(this.frame.x_ranges).concat(y.values(this.frame.y_ranges)))t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(i=!0);for(const[s,n]of this.renderer_views)if(n instanceof l.GlyphRendererView){const a=n.glyph.bounds();if(null!=a&&t.set(s,a),i){const t=n.glyph.log_bounds();null!=t&&e.set(s,t)}}let s=!1,n=!1;const{width:a,height:r}=this.frame.bbox;let h;!1!==this.model.match_aspect&&0!=a&&0!=r&&(h=1/this.model.aspect_scale*(a/r));for(const i of y.values(this.frame.x_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,0,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}for(const i of y.values(this.frame.y_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,1,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}if(s&&n){f.logger.warn(\"Follow enabled so bounds are unset.\");for(const t of y.values(this.frame.x_ranges))t.bounds=null;for(const t of y.values(this.frame.y_ranges))t.bounds=null}this.range_update_timestamp=Date.now()}map_to_screen(t,e,i=\"default\",s=\"default\"){return this.frame.map_to_screen(t,e,i,s)}push_state(t,e){const{history:i,index:s}=this.state,n=null!=i[s]?i[s].info:{},a=Object.assign(Object.assign(Object.assign({},this._initial_state_info),n),e);this.state.history=this.state.history.slice(0,this.state.index+1),this.state.history.push({type:t,info:a}),this.state.index=this.state.history.length-1,this.state_changed.emit()}clear_state(){this.state={history:[],index:-1},this.state_changed.emit()}can_undo(){return this.state.index>=0}can_redo(){return this.state.index<this.state.history.length-1}undo(){this.can_undo()&&(this.state.index-=1,this._do_state_change(this.state.index),this.state_changed.emit())}redo(){this.can_redo()&&(this.state.index+=1,this._do_state_change(this.state.index),this.state_changed.emit())}_do_state_change(t){const e=null!=this.state.history[t]?this.state.history[t].info:this._initial_state_info;null!=e.range&&this.update_range(e.range),null!=e.selection&&this.update_selection(e.selection)}get_selection(){const t=new Map;for(const e of this.model.renderers)if(e instanceof l.GlyphRenderer){const{selected:i}=e.data_source;t.set(e,i)}return t}update_selection(t){for(const e of this.model.renderers){if(!(e instanceof l.GlyphRenderer))continue;const i=e.data_source;if(null!=t){const s=t.get(e);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_update_ranges_together(t){let e=1;for(const[i,s]of t)e=Math.min(e,this._get_weight_to_constrain_interval(i,s));if(e<1)for(const[i,s]of t)s.start=e*s.start+(1-e)*i.start,s.end=e*s.end+(1-e)*i.end}_update_ranges_individually(t,e,i,s){let n=!1;for(const[s,a]of t){if(!i){const t=this._get_weight_to_constrain_interval(s,a);t<1&&(a.start=t*a.start+(1-t)*s.start,a.end=t*a.end+(1-t)*s.end)}if(null!=s.bounds&&\"auto\"!=s.bounds){const[t,o]=s.bounds,l=Math.abs(a.end-a.start);s.is_reversed?(null!=t&&t>=a.end&&(n=!0,a.end=t,(e||i)&&(a.start=t+l)),null!=o&&o<=a.start&&(n=!0,a.start=o,(e||i)&&(a.end=o-l))):(null!=t&&t>=a.start&&(n=!0,a.start=t,(e||i)&&(a.end=t+l)),null!=o&&o<=a.end&&(n=!0,a.end=o,(e||i)&&(a.start=o-l)))}}if(!(i&&n&&s))for(const[e,i]of t)e.have_updated_interactively=!0,e.start==i.start&&e.end==i.end||e.setv(i)}_get_weight_to_constrain_interval(t,e){const{min_interval:i}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[e,i]=t.bounds;if(null!=e&&null!=i){const t=Math.abs(i-e);s=null!=s?Math.min(s,t):t}}let n=1;if(null!=i||null!=s){const a=Math.abs(t.end-t.start),o=Math.abs(e.end-e.start);i>0&&o<i&&(n=(a-i)/(a-o)),s>0&&o>s&&(n=(s-a)/(o-a)),n=Math.max(0,Math.min(1,n))}return n}update_range(t,e=!1,i=!1,s=!0){this.pause();const{x_ranges:n,y_ranges:a}=this.frame;if(null==t){for(const t in n){n[t].reset()}for(const t in a){a[t].reset()}this.update_dataranges()}else{const o=[];for(const e in n){const i=n[e];o.push([i,t.xrs[e]])}for(const e in a){const i=a[e];o.push([i,t.yrs[e]])}i&&this._update_ranges_together(o),this._update_ranges_individually(o,e,i,s)}this.unpause()}reset_range(){this.update_range(null)}_invalidate_layout(){(()=>{for(const t of this.model.side_panels){if(this.renderer_views.get(t).layout.has_size_changed())return!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map(t=>this.renderer_views.get(t))}async build_renderer_views(){this.computed_renderers=[];const{above:t,below:e,left:i,right:s,center:n,renderers:a}=this.model;this.computed_renderers.push(...t,...e,...i,...s,...n,...a),null!=this._title&&this.computed_renderers.push(this._title),null!=this._toolbar&&this.computed_renderers.push(this._toolbar);for(const t of this.model.toolbar.tools)null!=t.overlay&&this.computed_renderers.push(t.overlay),this.computed_renderers.push(...t.synthetic_renderers);await p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const t=this.model.toolbar.tools;(await p.build_views(this.tool_views,t,{parent:this})).map(t=>this.ui_event_bus.register_tool(t))}connect_signals(){super.connect_signals();const{x_ranges:t,y_ranges:e}=this.frame;for(const e in t){const i=t[e];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}for(const t in e){const i=e[t];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}const{plot_width:i,plot_height:s}=this.model.properties;this.on_change([i,s],()=>this.invalidate_layout());const{above:n,below:a,left:o,right:l,center:r,renderers:h}=this.model.properties;this.on_change([n,a,o,l,r,h],async()=>await this.build_renderer_views()),this.connect(this.model.toolbar.properties.tools.change,async()=>{await this.build_renderer_views(),await this.build_tool_views()}),this.connect(this.model.change,()=>this.request_paint()),this.connect(this.model.reset,()=>this.reset())}set_initial_range(){let t=!0;const{x_ranges:e,y_ranges:i}=this.frame,s={},n={};for(const i in e){const{start:n,end:a}=e[i];if(null==n||null==a||isNaN(n+a)){t=!1;break}s[i]={start:n,end:a}}if(t)for(const e in i){const{start:s,end:a}=i[e];if(null==s||null==a||isNaN(s+a)){t=!1;break}n[e]={start:s,end:a}}t?(this._initial_state_info.range={xrs:s,yrs:n},f.logger.debug(\"initial ranges set\")):f.logger.warn(\"could not set initial ranges\")}has_finished(){if(!super.has_finished())return!1;for(const[,t]of this.renderer_views)if(!t.has_finished())return!1;return!0}after_layout(){if(super.after_layout(),this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame._width.value),inner_height:Math.round(this.frame._height.value),outer_width:Math.round(this.layout._width.value),outer_height:Math.round(this.layout._height.value)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:t,height:e}=this.layout.bbox;this.canvas_view.resize(t,e),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}this._inner_bbox.equals(this.frame.inner_bbox)||(this._inner_bbox=this.layout.inner_bbox,this._needs_paint=!0),this._needs_paint&&(this._needs_paint=!1,this.paint())}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){if(this.is_paused)return;f.logger.trace(\"PlotView.paint() for \"+this.model.id);const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e<this.model.lod_interval?setTimeout(()=>{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(this.model),this.request_paint()},this.model.lod_timeout):t.interactive_stop(this.model)}for(const[,t]of this.renderer_views)if(null==this.range_update_timestamp||t instanceof l.GlyphRendererView&&t.set_data_timestamp>this.range_update_timestamp){this.update_dataranges();break}let e=!1,i=!1;if(this._invalidate_all)e=!0,i=!0;else for(const t of this._invalidated_painters){const{level:s}=t.model;if(\"overlay\"!=s?e=!0:i=!0,e&&i)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const s=[this.frame._left.value,this.frame._top.value,this.frame._width.value,this.frame._height.value],{primary:n,overlays:a}=this.canvas_view;e&&(n.prepare(),this.canvas_view.prepare_webgl(s),this.canvas_view.clear_webgl(),this._map_hook(n.ctx,s),this._paint_empty(n.ctx,s),this._paint_outline(n.ctx,s),this._paint_levels(n.ctx,\"image\",s,!0),this._paint_levels(n.ctx,\"underlay\",s,!0),this._paint_levels(n.ctx,\"glyph\",s,!0),this._paint_levels(n.ctx,\"guide\",s,!1),this._paint_levels(n.ctx,\"annotation\",s,!1),n.finish()),i&&(a.prepare(),this._paint_levels(a.ctx,\"overlay\",s,!1),a.finish()),null==this._initial_state_info.range&&this.set_initial_range()}_paint_levels(t,e,i,s){for(const n of this.computed_renderers){if(n.level!=e)continue;const a=this.renderer_views.get(n);t.save(),(s||a.needs_clip)&&(t.beginPath(),t.rect(...i),t.clip()),a.render(),t.restore(),a.has_webgl&&(this.canvas_view.blit_webgl(t),this.canvas_view.clear_webgl())}}_map_hook(t,e){}_paint_empty(t,e){const[i,s,n,a]=[0,0,this.layout._width.value,this.layout._height.value],[o,l,r,h]=e;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(t),t.fillRect(i,s,n,a),t.clearRect(o,l,r,h)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(o,l,r,h))}_paint_outline(t,e){if(this.visuals.outline_line.doit){t.save(),this.visuals.outline_line.set_value(t);let[i,s,n,a]=e;i+n==this.layout._width.value&&(n-=1),s+a==this.layout._height.value&&(a-=1),t.strokeRect(i,s,n,a),t.restore()}}save(t){this.canvas_view.save(t)}serializable_state(){const t=super.serializable_state(),{children:e}=t,i=s(t,[\"children\"]),n=this.get_renderer_views().map(t=>t.serializable_state()).filter(t=>\"bbox\"in t);return Object.assign(Object.assign({},i),{children:[...e,...n]})}}i.PlotView=P,P.__name__=\"PlotView\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});var n=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var r=e.length-1;r>=0;r--)(_=e[r])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function _(e){return function(t){t.prototype.event_name=e}}class a{constructor(){this.origin=null}to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}_to_json(){return{model:this.origin}}}s.BokehEvent=a,a.__name__=\"BokehEvent\";let o=class extends a{};s.ButtonClick=o,o.__name__=\"ButtonClick\",s.ButtonClick=o=n([_(\"button_click\")],o);let r=class extends a{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=r,r.__name__=\"MenuItemClick\",s.MenuItemClick=r=n([_(\"menu_item_click\")],r);class c extends a{}s.UIEvent=c,c.__name__=\"UIEvent\";let i=class extends c{};s.LODStart=i,i.__name__=\"LODStart\",s.LODStart=i=n([_(\"lodstart\")],i);let l=class extends c{};s.LODEnd=l,l.__name__=\"LODEnd\",s.LODEnd=l=n([_(\"lodend\")],l);let u=class extends c{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=u,u.__name__=\"SelectionGeometry\",s.SelectionGeometry=u=n([_(\"selectiongeometry\")],u);let h=class extends c{};s.Reset=h,h.__name__=\"Reset\",s.Reset=h=n([_(\"reset\")],h);class d extends c{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=d,d.__name__=\"PointEvent\";let m=class extends d{constructor(e,t,s,n,_,a){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=m,m.__name__=\"Pan\",s.Pan=m=n([_(\"pan\")],m);let p=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=p,p.__name__=\"Pinch\",s.Pinch=p=n([_(\"pinch\")],p);let x=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=x,x.__name__=\"Rotate\",s.Rotate=x=n([_(\"rotate\")],x);let j=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=j,j.__name__=\"MouseWheel\",s.MouseWheel=j=n([_(\"wheel\")],j);let y=class extends d{};s.MouseMove=y,y.__name__=\"MouseMove\",s.MouseMove=y=n([_(\"mousemove\")],y);let P=class extends d{};s.MouseEnter=P,P.__name__=\"MouseEnter\",s.MouseEnter=P=n([_(\"mouseenter\")],P);let O=class extends d{};s.MouseLeave=O,O.__name__=\"MouseLeave\",s.MouseLeave=O=n([_(\"mouseleave\")],O);let b=class extends d{};s.Tap=b,b.__name__=\"Tap\",s.Tap=b=n([_(\"tap\")],b);let g=class extends d{};s.DoubleTap=g,g.__name__=\"DoubleTap\",s.DoubleTap=g=n([_(\"doubletap\")],g);let v=class extends d{};s.Press=v,v.__name__=\"Press\",s.Press=v=n([_(\"press\")],v);let E=class extends d{};s.PressUp=E,E.__name__=\"PressUp\",s.PressUp=E=n([_(\"pressup\")],E);let M=class extends d{};s.PanStart=M,M.__name__=\"PanStart\",s.PanStart=M=n([_(\"panstart\")],M);let f=class extends d{};s.PanEnd=f,f.__name__=\"PanEnd\",s.PanEnd=f=n([_(\"panend\")],f);let R=class extends d{};s.PinchStart=R,R.__name__=\"PinchStart\",s.PinchStart=R=n([_(\"pinchstart\")],R);let S=class extends d{};s.PinchEnd=S,S.__name__=\"PinchEnd\",s.PinchEnd=S=n([_(\"pinchend\")],S);let k=class extends d{};s.RotateStart=k,k.__name__=\"RotateStart\",s.RotateStart=k=n([_(\"rotatestart\")],k);let D=class extends d{};s.RotateEnd=D,D.__name__=\"RotateEnd\",s.RotateEnd=D=n([_(\"rotateend\")],D)},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importDefault(t(276)),r=t(14),a=t(72),h=t(68),_=t(293),o=t(9),c=t(8),l=t(28),p=n.__importStar(t(291)),u=t(281);class d{constructor(t,e,s){this.plot_view=t,this.toolbar=e,this.hit_area=s,this.pan_start=new r.Signal(this,\"pan:start\"),this.pan=new r.Signal(this,\"pan\"),this.pan_end=new r.Signal(this,\"pan:end\"),this.pinch_start=new r.Signal(this,\"pinch:start\"),this.pinch=new r.Signal(this,\"pinch\"),this.pinch_end=new r.Signal(this,\"pinch:end\"),this.rotate_start=new r.Signal(this,\"rotate:start\"),this.rotate=new r.Signal(this,\"rotate\"),this.rotate_end=new r.Signal(this,\"rotate:end\"),this.tap=new r.Signal(this,\"tap\"),this.doubletap=new r.Signal(this,\"doubletap\"),this.press=new r.Signal(this,\"press\"),this.pressup=new r.Signal(this,\"pressup\"),this.move_enter=new r.Signal(this,\"move:enter\"),this.move=new r.Signal(this,\"move\"),this.move_exit=new r.Signal(this,\"move:exit\"),this.scroll=new r.Signal(this,\"scroll\"),this.keydown=new r.Signal(this,\"keydown\"),this.keyup=new r.Signal(this,\"keyup\"),this.hammer=new i.default(this.hit_area,{touchAction:\"auto\",inputClass:i.default.TouchMouseInput}),this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",t=>this._mouse_move(t)),this.hit_area.addEventListener(\"mouseenter\",t=>this._mouse_enter(t)),this.hit_area.addEventListener(\"mouseleave\",t=>this._mouse_exit(t)),this.hit_area.addEventListener(\"contextmenu\",t=>this._context_menu(t)),this.hit_area.addEventListener(\"wheel\",t=>this._mouse_wheel(t)),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new u.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",t=>this._doubletap(t)),this.hammer.on(\"tap\",t=>this._tap(t)),this.hammer.on(\"press\",t=>this._press(t)),this.hammer.on(\"pressup\",t=>this._pressup(t)),this.hammer.get(\"pan\").set({direction:i.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",t=>this._pan_start(t)),this.hammer.on(\"pan\",t=>this._pan(t)),this.hammer.on(\"panend\",t=>this._pan_end(t)),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",t=>this._pinch_start(t)),this.hammer.on(\"pinch\",t=>this._pinch(t)),this.hammer.on(\"pinchend\",t=>this._pinch_end(t)),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",t=>this._rotate_start(t)),this.hammer.on(\"rotate\",t=>this._rotate(t)),this.hammer.on(\"rotateend\",t=>this._rotate_end(t))}register_tool(t){const e=t.model.event_type;null!=e&&(c.isString(e)?this._register_tool(t,e):e.forEach((e,s)=>this._register_tool(t,e,s<1)))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},h=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(\"unsupported event_type: \"+e)}s&&(null!=n._doubletap&&n.connect(this.doubletap,h(n._doubletap.bind(n))),null!=n._keydown&&n.connect(this.keydown,h(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,h(n._keyup.bind(n))),l.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(a.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e){const s=this.plot_view.get_renderer_views();for(const n of o.reversed(s)){const{level:s}=n.model;if((\"annotation\"==s||\"overlay\"==s)&&null!=n.interactive_hit&&n.interactive_hit(t,e))return n}return null}_hit_test_frame(t,e){return this.plot_view.frame.bbox.contains(t,e)}_hit_test_canvas(t,e){return this.plot_view.layout.bbox.contains(t,e)}_trigger(t,e,s){const n=this.toolbar.gestures,i=t.name.split(\":\")[0],r=this._hit_test_renderers(e.sx,e.sy),a=this._hit_test_canvas(e.sx,e.sy);switch(i){case\"move\":{const s=n[i].active;null!=s&&this.trigger(t,e,s.id);const h=this.toolbar.inspectors.filter(t=>t.active);let _=\"default\";null!=r?(_=r.cursor(e.sx,e.sy)||_,o.is_empty(h)||(t=this.move_exit)):this._hit_test_frame(e.sx,e.sy)&&(o.is_empty(h)||(_=\"crosshair\")),this.plot_view.set_cursor(_),this.plot_view.set_toolbar_visibility(a),h.map(s=>this.trigger(t,e,s.id));break}case\"tap\":{const{target:a}=s;if(null!=a&&a!=this.hit_area)return;null!=r&&null!=r.on_hit&&r.on_hit(e.sx,e.sy);const h=n[i].active;null!=h&&this.trigger(t,e,h.id);break}case\"scroll\":{const i=n[l.is_mobile?\"pinch\":\"scroll\"].active;null!=i&&(s.preventDefault(),s.stopPropagation(),this.trigger(t,e,i.id));break}case\"pan\":{const r=n[i].active;null!=r&&(s.preventDefault(),this.trigger(t,e,r.id));break}default:{const s=n[i].active;null!=s&&this.trigger(t,e,s.id)}}this._trigger_bokeh_event(e)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t){const e=(()=>{const e=this.plot_view.frame.xscales.default,s=this.plot_view.frame.yscales.default,{sx:n,sy:i}=t,r=e.invert(n),a=s.invert(i);switch(t.type){case\"wheel\":return new p.MouseWheel(n,i,r,a,t.delta);case\"mousemove\":return new p.MouseMove(n,i,r,a);case\"mouseenter\":return new p.MouseEnter(n,i,r,a);case\"mouseleave\":return new p.MouseLeave(n,i,r,a);case\"tap\":return new p.Tap(n,i,r,a);case\"doubletap\":return new p.DoubleTap(n,i,r,a);case\"press\":return new p.Press(n,i,r,a);case\"pressup\":return new p.PressUp(n,i,r,a);case\"pan\":return new p.Pan(n,i,r,a,t.deltaX,t.deltaY);case\"panstart\":return new p.PanStart(n,i,r,a);case\"panend\":return new p.PanEnd(n,i,r,a);case\"pinch\":return new p.Pinch(n,i,r,a,t.scale);case\"pinchstart\":return new p.PinchStart(n,i,r,a);case\"pinchend\":return new p.PinchEnd(n,i,r,a);case\"rotate\":return new p.Rotate(n,i,r,a,t.rotation);case\"rotatestart\":return new p.RotateStart(n,i,r,a);case\"rotateend\":return new p.RotateEnd(n,i,r,a);default:return}})();null!=e&&this.plot_view.model.trigger_event(e)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=h.offset(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:_.getDeltaY(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){const e=this._tap_event(t);this._trigger_bokeh_event(e),this.trigger(this.doubletap,e)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEvents=d,d.__name__=\"UIEvents\"},\n      function _(e,t,n){\n      /*!\n           * jQuery Mousewheel 3.1.13\n           *\n           * Copyright jQuery Foundation and other contributors\n           * Released under the MIT license\n           * http://jquery.org/license\n           */\n      function r(e){const t=getComputedStyle(e).fontSize;return null!=t?parseInt(t,10):null}Object.defineProperty(n,\"__esModule\",{value:!0}),n.getDeltaY=function(e){let t=-e.deltaY;if(e.target instanceof HTMLElement)switch(e.deltaMode){case e.DOM_DELTA_LINE:t*=r((n=e.target).offsetParent||document.body)||r(n)||16;break;case e.DOM_DELTA_PAGE:t*=function(e){return e.clientHeight}(e.target)}var n;return t}},\n      function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=(\"undefined\"!=typeof window?window.requestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.webkitRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.mozRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.msRequestAnimationFrame:void 0)||function(n){return n(Date.now()),-1};o.throttle=function(n,e){let o=null,i=0,u=!1;return function(){return new Promise((d,w)=>{const r=function(){i=Date.now(),o=null,u=!1;try{n(),d()}catch(n){w(n)}},a=Date.now(),f=e-(a-i);f<=0&&!u?(null!=o&&clearTimeout(o),u=!0,t(r)):o||u?d():o=setTimeout(()=>t(r),f)})}}},\n      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const l=i(189),a=i(190),r=i(8),o=Math.PI/2,h=\"left\",s=\"center\",n={above:{parallel:0,normal:-o,horizontal:0,vertical:-o},below:{parallel:0,normal:o,horizontal:0,vertical:o},left:{parallel:-o,normal:0,horizontal:0,vertical:-o},right:{parallel:o,normal:0,horizontal:0,vertical:o}},d={above:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"alphabetic\",vertical:\"middle\"},below:{justified:\"bottom\",parallel:\"hanging\",normal:\"middle\",horizontal:\"hanging\",vertical:\"middle\"},left:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"},right:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"}},_={above:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},below:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},left:{justified:s,parallel:s,normal:\"right\",horizontal:\"right\",vertical:s},right:{justified:s,parallel:s,normal:h,horizontal:h,vertical:s}},c={above:\"right\",below:h,left:\"right\",right:h},m={above:h,below:\"right\",left:\"right\",right:h};class g extends a.ContentLayoutable{constructor(i,t){switch(super(),this.side=i,this.obj=t,this.side){case\"above\":this._dim=0,this._normals=[0,-1];break;case\"below\":this._dim=0,this._normals=[0,1];break;case\"left\":this._dim=1,this._normals=[-1,0];break;case\"right\":this._dim=1,this._normals=[1,0]}this.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){return new l.Sizeable(this.get_oriented_size())}get_oriented_size(){const{width:i,height:t}=this.obj.get_size();return!this.obj.rotate||this.is_horizontal?{width:i,height:t}:{width:t,height:i}}has_size_changed(){const{width:i,height:t}=this.get_oriented_size();return this.is_horizontal?this.bbox.height!=t:this.bbox.width!=i}get dimension(){return this._dim}get normals(){return this._normals}get is_horizontal(){return 0==this._dim}get is_vertical(){return 1==this._dim}apply_label_text_heuristics(i,t){const e=this.side;let l,a;r.isString(t)?(l=d[e][t],a=_[e][t]):t<0?(l=\"middle\",a=c[e]):(l=\"middle\",a=m[e]),i.textBaseline=l,i.textAlign=a}get_label_angle_heuristic(i){return n[this.side][i]}}e.SidePanel=g,g.__name__=\"SidePanel\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(14),o=t(68),a=t(32),n=t(290),p=new i.Signal0({},\"gmaps_ready\");class l extends n.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){!function(t){window._bokeh_gmaps_callback=()=>p.emit();const e=document.createElement(\"script\");e.type=\"text/javascript\",e.src=`https://maps.googleapis.com/maps/api/js?v=3.36&key=${t}&callback=_bokeh_gmaps_callback`,document.body.appendChild(e)}(atob(this.model.api_key))}p.connect(()=>this.request_render())}this.unpause()}remove(){o.remove(this.map_el),super.remove()}update_range(t){if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(t.sdx||0,t.sdy||0),super.update_range(t);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t);const e=t.factor<0?-1:1,s=this.map.getZoom(),i=s+e;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<0&&this.map.setZoom(s)}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=o.div({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",()=>this._set_bokeh_ranges()),t.event.addListener(this.map,\"bounds_changed\",()=>this._set_bokeh_ranges()),t.event.addListenerOnce(this.map,\"tilesloaded\",()=>this._render_finished()),this.connect(this.model.properties.map_options.change,()=>this._update_options()),this.connect(this.model.map_options.properties.styles.change,()=>this._update_styles()),this.connect(this.model.map_options.properties.lat.change,()=>this._update_center(\"lat\")),this.connect(this.model.map_options.properties.lng.change,()=>this._update_center(\"lng\")),this.connect(this.model.map_options.properties.zoom.change,()=>this._update_zoom()),this.connect(this.model.map_options.properties.map_type.change,()=>this._update_map_type()),this.connect(this.model.map_options.properties.scale_control.change,()=>this._update_scale_control()),this.connect(this.model.map_options.properties.tilt.change,()=>this._update_tilt())}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,i]=this._get_latlon_bounds(),[o,n]=a.wgs84_mercator.forward([t,s]),[p,l]=a.wgs84_mercator.forward([e,i]);return[o,p,n,l]}_set_bokeh_ranges(){const[t,e,s,i]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:i})}_update_center(t){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,i,o]=e;this.map_el.style.top=s+\"px\",this.map_el.style.left=t+\"px\",this.map_el.style.width=i+\"px\",this.map_el.style.height=o+\"px\"}}_paint_empty(t,e){const s=this.layout._width.value,i=this.layout._height.value,[o,a,n,p]=e;t.clearRect(0,0,s,i),t.beginPath(),t.moveTo(0,0),t.lineTo(0,i),t.lineTo(s,i),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(o,a),t.lineTo(o+n,a),t.lineTo(o+n,a+p),t.lineTo(o,a+p),t.lineTo(o,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=this.model.border_fill_color,t.fill())}}s.GMapPlotView=l,l.__name__=\"GMapPlotView\"},\n      function _(a,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});var g=a(187);n.DataRange=g.DataRange;var R=a(186);n.DataRange1d=R.DataRange1d;var r=a(90);n.FactorRange=r.FactorRange;var t=a(91);n.Range=t.Range;var d=a(131);n.Range1d=d.Range1d},\n      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var n=e(81);d.GlyphRenderer=n.GlyphRenderer;var R=e(100);d.GraphRenderer=R.GraphRenderer;var a=e(151);d.GuideRenderer=a.GuideRenderer;var G=e(65);d.Renderer=G.Renderer},\n      function _(a,e,c){Object.defineProperty(c,\"__esModule\",{value:!0});var l=a(185);c.CategoricalScale=l.CategoricalScale;var o=a(121);c.ContinuousScale=o.ContinuousScale;var r=a(120);c.LinearScale=r.LinearScale;var S=a(130);c.LogScale=S.LogScale;var n=a(122);c.Scale=n.Scale},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(1).__exportStar(e(102),o);var n=e(79);o.Selection=n.Selection},\n      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var o=a(302);r.ServerSentDataSource=o.ServerSentDataSource;var S=a(304);r.AjaxDataSource=S.AjaxDataSource;var u=a(76);r.ColumnDataSource=u.ColumnDataSource;var t=a(77);r.ColumnarDataSource=t.ColumnarDataSource;var c=a(98);r.CDSView=c.CDSView;var D=a(78);r.DataSource=D.DataSource;var v=a(305);r.GeoJSONDataSource=v.GeoJSONDataSource;var n=a(303);r.WebDataSource=n.WebDataSource},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(303);class s extends a.WebDataSource{constructor(e){super(e),this.initialized=!1}destroy(){super.destroy()}setup(){if(!this.initialized){this.initialized=!0,new EventSource(this.data_url).onmessage=e=>{this.load_data(JSON.parse(e.data),this.mode,this.max_size)}}}}i.ServerSentDataSource=s,s.__name__=\"ServerSentDataSource\"},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(1),s=e(76),i=r.__importStar(e(18));class n extends s.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:r}=this;let s;switch(s=null!=r?r.execute(this,{response:e}):e,t){case\"replace\":this.data=s;break;case\"append\":{const e=this.data;for(const t of this.columns()){const r=Array.from(e[t]),i=Array.from(s[t]);s[t]=r.concat(i).slice(-a)}this.data=s;break}}}static init_WebDataSource(){this.define({mode:[i.UpdateMode,\"replace\"],max_size:[i.Number],adapter:[i.Any,null],data_url:[i.String]})}}a.WebDataSource=n,n.__name__=\"WebDataSource\",n.init_WebDataSource()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(303),r=t(72),o=s.__importStar(t(18));class n extends a.WebDataSource{constructor(t){super(t),this.initialized=!1}static init_AjaxDataSource(){this.define({polling_interval:[o.Number],content_type:[o.String,\"application/json\"],http_headers:[o.Any,{}],method:[o.HTTPMethod,\"POST\"],if_modified:[o.Boolean,!1]})}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=0,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",()=>this.do_load(s,t,e)),s.addEventListener(\"error\",()=>this.do_error(s)),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const i in e){const s=e[i];t.setRequestHeader(i,s)}return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){r.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=n,n.__name__=\"AjaxDataSource\",n.init_AjaxDataSource()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1),n=e(77),s=e(72),a=r.__importStar(e(18)),i=e(9);function l(e){return null!=e?e:NaN}class c extends n.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define({geojson:[a.Any]}),this.internal({data:[a.Any,{}]})}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,()=>this._update_data())}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return i.range(0,e).map(e=>[])}_get_new_nan_array(e){return i.range(0,e).map(e=>NaN)}_add_properties(e,t,o,r){const n=e.properties||{};for(const e in n)t.hasOwnProperty(e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=l(n[e])}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=l(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"Polygon\":{e.coordinates.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPoint\":s.logger.warn(\"MultiPoint not supported in Bokeh\");break;case\"MultiLineString\":{const n=e.coordinates.reduce(r);for(let e=0;e<n.length;e++){const[r,s,a]=n[e];t.xs[o][e]=r,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPolygon\":{const n=[];for(const t of e.coordinates)t.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const a=n.reduce(r);for(let e=0;e<a.length;e++){const[r,n,s]=a[e];t.xs[o][e]=r,t.ys[o][e]=n,t.zs[o][e]=l(s)}break}default:throw new Error(\"Invalid GeoJSON geometry type: \"+e.type)}}geojson_to_column_data(){const e=JSON.parse(this.geojson);let t;switch(e.type){case\"GeometryCollection\":if(null==e.geometries)throw new Error(\"No geometries found in GeometryCollection\");if(0===e.geometries.length)throw new Error(\"geojson.geometries must have one or more items\");t=e.geometries;break;case\"FeatureCollection\":if(null==e.features)throw new Error(\"No features found in FeaturesCollection\");if(0==e.features.length)throw new Error(\"geojson.features must have one or more items\");t=e.features;break;default:throw new Error(\"Bokeh only supports type GeometryCollection and FeatureCollection at top level\")}let o=0;for(const e of t){const t=\"Feature\"===e.type?e.geometry:e;\"GeometryCollection\"==t.type?o+=t.geometries.length:o+=1}const r={x:this._get_new_nan_array(o),y:this._get_new_nan_array(o),z:this._get_new_nan_array(o),xs:this._get_new_list_array(o),ys:this._get_new_list_array(o),zs:this._get_new_list_array(o)};let n=0;for(const e of t){const t=\"Feature\"==e.type?e.geometry:e;if(\"GeometryCollection\"==t.type)for(const s of t.geometries)this._add_geometry(s,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1;else this._add_geometry(t,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1}return r}}o.GeoJSONDataSource=c,c.__name__=\"GeoJSONDataSource\",c.init_GeoJSONDataSource()},\n      function _(e,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});var c=e(110);i.AdaptiveTicker=c.AdaptiveTicker;var a=e(109);i.BasicTicker=a.BasicTicker;var k=e(153);i.CategoricalTicker=k.CategoricalTicker;var T=e(164);i.CompositeTicker=T.CompositeTicker;var t=e(111);i.ContinuousTicker=t.ContinuousTicker;var o=e(163);i.DatetimeTicker=o.DatetimeTicker;var v=e(165);i.DaysTicker=v.DaysTicker;var n=e(307);i.FixedTicker=n.FixedTicker;var s=e(172);i.LogTicker=s.LogTicker;var l=e(175);i.MercatorTicker=l.MercatorTicker;var u=e(168);i.MonthsTicker=u.MonthsTicker;var d=e(166);i.SingleIntervalTicker=d.SingleIntervalTicker;var g=e(112);i.Ticker=g.Ticker;var C=e(169);i.YearsTicker=C.YearsTicker},\n      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),n=i(111),s=r.__importStar(i(18));class _ extends n.ContinuousTicker{constructor(i){super(i),this.min_interval=0,this.max_interval=0}static init_FixedTicker(){this.define({ticks:[s.Array,[]],minor_ticks:[s.Array,[]]})}get_ticks_no_defaults(i,t,e,r){return{major:this.ticks,minor:this.minor_ticks}}get_interval(i,t,e){return 0}}e.FixedTicker=_,_.__name__=\"FixedTicker\",_.init_FixedTicker()},\n      function _(e,r,o){Object.defineProperty(o,\"__esModule\",{value:!0});var T=e(309);o.BBoxTileSource=T.BBoxTileSource;var c=e(310);o.MercatorTileSource=c.MercatorTileSource;var i=e(313);o.QUADKEYTileSource=i.QUADKEYTileSource;var l=e(314);o.TileRenderer=l.TileRenderer;var S=e(311);o.TileSource=S.TileSource;var u=e(318);o.TMSTileSource=u.TMSTileSource;var a=e(315);o.WMTSTileSource=a.WMTSTileSource},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1),i=e(310),l=o.__importStar(e(18));class _ extends i.MercatorTileSource{constructor(e){super(e)}static init_BBoxTileSource(){this.define({use_latlon:[l.Boolean,!1]})}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let i,l,_,n;return this.use_latlon?[l,n,i,_]=this.get_tile_geographic_bounds(e,t,r):[l,n,i,_]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",l.toString()).replace(\"{YMIN}\",n.toString()).replace(\"{XMAX}\",i.toString()).replace(\"{YMAX}\",_.toString())}}r.BBoxTileSource=_,_.__name__=\"BBoxTileSource\",_.init_BBoxTileSource()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const _=t(1),s=t(311),r=_.__importStar(t(18)),o=t(9),n=t(312);class l extends s.TileSource{constructor(t){super(t)}static init_MercatorTileSource(){this.define({snap_to_zoom:[r.Boolean,!1],wrap_around:[r.Boolean,!0]}),this.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})}initialize(){super.initialize(),this._resolutions=o.range(this.min_zoom,this.max_zoom+1).map(t=>this.get_resolution(t))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)<Math.abs(t-r)?e:t}));return this._resolutions.indexOf(o)}snap_to_zoom_level(t,e,i,_){const[s,r,o,n]=t,l=this._resolutions[_];let u=i*l,a=e*l;if(!this.snap_to_zoom){const t=(o-s)/u,e=(n-r)/a;t>e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);return i=0===i?i:i-1,[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<<i)-e]}meters_to_tile(t,e,i){const[_,s]=this.meters_to_pixels(t,e,i);return this.pixels_to_tile(_,s)}get_tile_meter_bounds(t,e,i){const[_,s]=this.pixels_to_meters(t*this.tile_size,e*this.tile_size,i),[r,o]=this.pixels_to_meters((t+1)*this.tile_size,(e+1)*this.tile_size,i);return[_,s,r,o]}get_tile_geographic_bounds(t,e,i){const _=this.get_tile_meter_bounds(t,e,i),[s,r,o,l]=n.meters_extent_to_geographic(_);return[s,r,o,l]}get_tiles_by_extent(t,e,i=1){const[_,s,r,o]=t;let[n,l]=this.meters_to_tile(_,s,e),[u,a]=this.meters_to_tile(r,o,e);n-=i,l-=i,u+=i,a+=i;const h=[];for(let t=a;t>=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<<s-1;switch(t.charAt(_-s)){case\"0\":continue;case\"1\":e|=r;break;case\"2\":i|=r;break;case\"3\":e|=r,i|=r;break;default:throw new TypeError(\"Invalid Quadkey: \"+t)}}return[e,i,_]}tile_xyz_to_quadkey(t,e,i){let _=\"\";for(let s=i;s>0;s--){const i=1<<s-1;let r=0;0!=(t&i)&&(r+=1),0!=(e&i)&&(r+=2),_+=r.toString()}return _}children_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=[];for(let t=0;t<=3;t++){const[e,i,r]=this.quadkey_to_tile_xyz(_+t.toString()),o=this.get_tile_meter_bounds(e,i,r);s.push([e,i,r,o])}return s}get_closest_parent_by_tile_xyz(t,e,i){const _=this.calculate_world_x_by_tile_xyz(t,e,i);[t,e,i]=this.normalize_xyz(t,e,i);let s=this.tile_xyz_to_quadkey(t,e,i);for(;s.length>0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),s=e(17),l=i.__importStar(e(18));class a extends n.Model{constructor(e){super(e)}static init_TileSource(){this.define({url:[l.String,\"\"],tile_size:[l.Number,256],max_zoom:[l.Number,30],min_zoom:[l.Number,0],extra_url_vars:[l.Any,{}],attribution:[l.String,\"\"],x_origin_offset:[l.Number],y_origin_offset:[l.Number],initial_resolution:[l.Number]})}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._clear_cache())}string_lookup_replace(e,t){let r=e;for(const[e,i]of s.entries(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map(e=>parseInt(e));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,s]=t,l=(n-r)/2+r,a=(s-i)/2+i;e.sort((function(e,t){return Math.sqrt((l-e[0])**2+(a-e[1])**2)-Math.sqrt((l-t[0])**2+(a-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=a,a.__name__=\"TileSource\",a.init_TileSource()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(32);function o(e,t){return n.wgs84_mercator.forward([e,t])}function c(e,t){return n.wgs84_mercator.inverse([e,t])}r.geographic_to_meters=o,r.meters_to_geographic=c,r.geographic_extent_to_meters=function(e){const[t,r,n,c]=e,[_,i]=o(t,r),[s,u]=o(n,c);return[_,i,s,u]},r.meters_extent_to_geographic=function(e){const[t,r,n,o]=e,[_,i]=c(t,r),[s,u]=c(n,o);return[_,i,s,u]}},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const _=e(310);class s extends _.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const _=this.string_lookup_replace(this.url,this.extra_url_vars),[s,o,u]=this.tms_to_wmts(e,t,r),c=this.tile_xyz_to_quadkey(s,o,u);return _.replace(\"{Q}\",c)}}r.QUADKEYTileSource=s,s.__name__=\"QUADKEYTileSource\"},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),_=e(315),a=e(82),n=e(131),r=e(68),h=s.__importStar(e(18)),l=e(224),o=e(9),d=e(8),m=e(80),c=e(76),u=e(316),p=s.__importDefault(e(317));class g extends a.DataRendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.tile_source.change,()=>this.request_render())}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&r.removeElement(this.attribution_el);const{attribution:e}=this.model.tile_source;if(d.isString(e)&&e.length>0){const{layout:t,frame:i}=this.plot_view,s=t._width.value-i._right.value,_=t._height.value-i._bottom.value,a=i._width.value;this.attribution_el=r.div({class:u.bk_tile_attribution,style:{position:\"absolute\",right:s+\"px\",bottom:_+\"px\",\"max-width\":a-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=e,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const e=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value),t=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value,e);this.x_range.start=t[0],this.y_range.start=t[1],this.x_range.end=t[2],this.y_range.end=t[3],this.x_range instanceof n.Range1d&&(this.x_range.reset_start=t[0],this.x_range.reset_end=t[2]),this.y_range instanceof n.Range1d&&(this.y_range.reset_start=t[1],this.y_range.reset_end=t[3]),this._update_attribution()}_create_tile(e,t,i,s,_=!1){const[a,n,r]=this.model.tile_source.normalize_xyz(e,t,i),h={img:void 0,tile_coords:[e,t,i],normalized_coords:[a,n,r],quadkey:this.model.tile_source.tile_xyz_to_quadkey(e,t,i),cache_key:this.model.tile_source.tile_xyz_to_key(e,t,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},o=this.model.tile_source.get_image_url(a,n,r);new l.ImageLoader(o,{loaded:e=>{Object.assign(h,{img:e,loaded:!0}),_?(h.finished=!0,this.notify_finished()):this.request_render()},failed(){h.finished=!0}}),this.model.tile_source.tiles.set(h.cache_key,h),this._tiles.push(h)}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame._height.value||this._last_width!==this.map_frame._width.value){const e=this.get_extent(),t=this.model.tile_source.get_level_by_extent(e,this.map_frame._height.value,this.map_frame._width.value),i=this.model.tile_source.snap_to_zoom_level(e,this.map_frame._height.value,this.map_frame._width.value,t);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame._height.value,this._last_width=this.map_frame._width.value}}has_finished(){if(!super.has_finished())return!1;if(0===this._tiles.length)return!1;for(const e of this._tiles)if(!e.finished)return!1;return!0}render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(e){const t=this.model.tile_source.tiles.get(e);if(null!=t&&t.loaded){const[[e],[i]]=this.plot_view.map_to_screen([t.bounds[0]],[t.bounds[3]]),[[s],[_]]=this.plot_view.map_to_screen([t.bounds[2]],[t.bounds[1]]),a=s-e,n=_-i,r=e,h=i,l=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(t.img,r,h,a,n),this.map_canvas.setImageSmoothingEnabled(l),t.finished=!0}}_set_rect(){const e=this.plot_model.properties.outline_line_width.value(),t=this.map_frame._left.value+e/2,i=this.map_frame._top.value+e/2,s=this.map_frame._width.value-e,_=this.map_frame._height.value-e;this.map_canvas.rect(t,i,s,_),this.map_canvas.clip()}_render_tiles(e){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const t of e)this._draw_tile(t);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:e}=this.model,t=this.get_extent(),i=this.map_frame._height.value,s=this.map_frame._width.value,_=this.model.tile_source.get_level_by_extent(t,i,s),a=this.model.tile_source.get_tiles_by_extent(t,_);for(let t=0,i=Math.min(10,a.length);t<i;t++){const[i,s,_]=a[t],n=this.model.tile_source.children_by_tile_xyz(i,s,_);for(const t of n){const[i,s,_,a]=t;e.tiles.has(e.tile_xyz_to_key(i,s,_))||this._create_tile(i,s,_,a,!0)}}}_fetch_tiles(e){for(const t of e){const[e,i,s,_]=t;this._create_tile(e,i,s,_)}}_update(){const{tile_source:e}=this.model,{min_zoom:t}=e,{max_zoom:i}=e;let s=this.get_extent();const _=this.extent[2]-this.extent[0]<s[2]-s[0],a=this.map_frame._height.value,n=this.map_frame._width.value;let r=e.get_level_by_extent(s,a,n),h=!1;r<t?(s=this.extent,r=t,h=!0):r>i&&(s=this.extent,r=i,h=!0),h&&(this.x_range.setv({x_range:{start:s[0],end:s[2]}}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const l=e.get_tiles_by_extent(s,r),d=[],m=[],c=[],u=[];for(const t of l){const[i,s,a]=t,n=e.tile_xyz_to_key(i,s,a),r=e.tiles.get(n);if(null!=r&&r.loaded)m.push(n);else if(this.model.render_parents){const[t,n,r]=e.get_closest_parent_by_tile_xyz(i,s,a),h=e.tile_xyz_to_key(t,n,r),l=e.tiles.get(h);if(null!=l&&l.loaded&&!o.includes(c,h)&&c.push(h),_){const t=e.children_by_tile_xyz(i,s,a);for(const[i,s,_]of t){const t=e.tile_xyz_to_key(i,s,_);e.tiles.has(t)&&u.push(t)}}}null==r&&d.push(t)}this._render_tiles(c),this._render_tiles(u),this._render_tiles(m),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout(()=>this._fetch_tiles(d),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class f extends a.DataRenderer{constructor(e){super(e),this._selection_manager=new m.SelectionManager({source:new c.ColumnDataSource})}static init_TileRenderer(){this.prototype.default_view=g,this.define({alpha:[h.Number,1],smoothing:[h.Boolean,!0],tile_source:[h.Instance,()=>new _.WMTSTileSource],render_parents:[h.Boolean,!0]})}get_selection_manager(){return this._selection_manager}}i.TileRenderer=f,f.__name__=\"TileRenderer\",f.init_TileRenderer()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(310);class s extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,_]=this.tms_to_wmts(e,t,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",_.toString())}}r.WMTSTileSource=s,s.__name__=\"WMTSTileSource\"},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.bk_tile_attribution=\"bk-tile-attribution\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default=\"\\n.bk-root .bk-tile-attribution a {\\n  color: black;\\n}\\n\"},\n      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(310);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=c,c.__name__=\"TMSTileSource\"},\n      function _(e,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});var t=e(320);a.CanvasTexture=t.CanvasTexture;var u=e(322);a.ImageURLTexture=u.ImageURLTexture;var v=e(321);a.Texture=v.Texture},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),c=t(321),s=r.__importStar(t(18)),i=t(24);class a extends c.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define({code:[s.String]})}get func(){const t=i.use_strict(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){return r=>{const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),r.createPattern(c,this.repetition)}}}n.CanvasTexture=a,a.__name__=\"CanvasTexture\",a.init_CanvasTexture()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(71),o=r.__importStar(e(18));class _ extends n.Model{constructor(e){super(e)}static init_Texture(){this.define({repetition:[o.TextureRepetition,\"repeat\"]})}onload(e){e()}}i.Texture=_,_.__name__=\"Texture\",_.init_Texture()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),a=e(321),n=r.__importStar(e(18)),s=e(224);class o extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define({url:[n.String]})}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){return e=>this._loader.finished?e.createPattern(this._loader.image,this.repetition):null}onload(e){this._loader.promise.then(()=>e())}}i.ImageURLTexture=o,o.__name__=\"ImageURLTexture\",o.init_ImageURLTexture()},\n      function _(o,l,T){Object.defineProperty(T,\"__esModule\",{value:!0});var a=o(285);T.ActionTool=a.ActionTool;var r=o(324);T.CustomAction=r.CustomAction;var e=o(286);T.HelpTool=e.HelpTool;var v=o(325);T.RedoTool=v.RedoTool;var t=o(326);T.ResetTool=t.ResetTool;var n=o(327);T.SaveTool=n.SaveTool;var s=o(328);T.UndoTool=s.UndoTool;var i=o(329);T.ZoomInTool=i.ZoomInTool;var P=o(331);T.ZoomOutTool=P.ZoomOutTool;var c=o(275);T.ButtonTool=c.ButtonTool;var d=o(332);T.EditTool=d.EditTool;var u=o(333);T.BoxEditTool=u.BoxEditTool;var y=o(334);T.FreehandDrawTool=y.FreehandDrawTool;var m=o(335);T.PointDrawTool=m.PointDrawTool;var x=o(336);T.PolyDrawTool=x.PolyDrawTool;var B=o(337);T.PolyTool=B.PolyTool;var S=o(338);T.PolyEditTool=S.PolyEditTool;var b=o(339);T.BoxSelectTool=b.BoxSelectTool;var h=o(342);T.BoxZoomTool=h.BoxZoomTool;var E=o(284);T.GestureTool=E.GestureTool;var Z=o(343);T.LassoSelectTool=Z.LassoSelectTool;var p=o(344);T.LineEditTool=p.LineEditTool;var w=o(346);T.PanTool=w.PanTool;var C=o(347);T.PolySelectTool=C.PolySelectTool;var D=o(348);T.RangeTool=D.RangeTool;var H=o(340);T.SelectTool=H.SelectTool;var R=o(349);T.TapTool=R.TapTool;var A=o(350);T.WheelPanTool=A.WheelPanTool;var I=o(351);T.WheelZoomTool=I.WheelZoomTool;var L=o(352);T.CrosshairTool=L.CrosshairTool;var W=o(353);T.CustomJSHover=W.CustomJSHover;var O=o(354);T.HoverTool=O.HoverTool;var _=o(274);T.InspectTool=_.InspectTool;var f=o(277);T.Tool=f.Tool;var g=o(355);T.ToolProxy=g.ToolProxy;var F=o(273);T.Toolbar=F.Toolbar;var G=o(283);T.ToolbarBase=G.ToolbarBase;var J=o(357);T.ProxyToolbar=J.ProxyToolbar;var U=o(357);T.ToolbarBox=U.ToolbarBox},\n      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(285),e=n.__importStar(t(18)),c=t(278);class _ extends s.ActionToolButtonView{css_classes(){return super.css_classes().concat(c.bk_toolbar_button_custom_action)}}i.CustomActionButtonView=_,_.__name__=\"CustomActionButtonView\";class l extends s.ActionToolView{doit(){null!=this.model.callback&&this.model.callback.execute(this.model)}}i.CustomActionView=l,l.__name__=\"CustomActionView\";class u extends s.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=_}static init_CustomAction(){this.prototype.default_view=l,this.define({action_tooltip:[e.String,\"Perform a Custom Action\"],callback:[e.Any],icon:[e.String]})}get tooltip(){return this.action_tooltip}}i.CustomAction=u,u.__name__=\"CustomAction\",u.init_CustomAction()},\n      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(285),s=o(287);class n extends i.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_redo())}doit(){this.plot_view.redo()}}t.RedoToolView=n,n.__name__=\"RedoToolView\";class _ extends i.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=s.bk_tool_icon_redo}static init_RedoTool(){this.prototype.default_view=n,this.override({disabled:!0}),this.register_alias(\"redo\",()=>new _)}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(285),i=e(287);class _ extends s.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=_,_.__name__=\"ResetToolView\";class l extends s.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=i.bk_tool_icon_reset}static init_ResetTool(){this.prototype.default_view=_,this.register_alias(\"reset\",()=>new l)}}o.ResetTool=l,l.__name__=\"ResetTool\",l.init_ResetTool()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(285),s=e(287);class _ extends i.ActionToolView{doit(){this.plot_view.save(\"bokeh_plot\")}}t.SaveToolView=_,_.__name__=\"SaveToolView\";class a extends i.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=s.bk_tool_icon_save}static init_SaveTool(){this.prototype.default_view=_,this.register_alias(\"save\",()=>new a)}}t.SaveTool=a,a.__name__=\"SaveTool\",a.init_SaveTool()},\n      function _(o,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=o(285),i=o(287);class s extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_undo())}doit(){this.plot_view.undo()}}e.UndoToolView=s,s.__name__=\"UndoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=i.bk_tool_icon_undo}static init_UndoTool(){this.prototype.default_view=s,this.override({disabled:!0}),this.register_alias(\"undo\",()=>new _)}}e.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),n=o(285),s=o(330),_=e.__importStar(o(18)),m=o(287);class l extends n.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,n=s.scale_range(o,this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:n}),this.plot_view.update_range(n,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomInToolView=l,l.__name__=\"ZoomInToolView\";class h extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom In\",this.icon=m.bk_tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_in\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_in\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_in\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomInTool=h,h.__name__=\"ZoomInTool\",h.init_ZoomInTool()},\n      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=n(10);function r(n,t,e){const[o,r]=[n.start,n.end],c=null!=e?e:(r+o)/2;return[o-(o-c)*t,r-(r-c)*t]}function c(n,[t,e]){const o={};for(const r in n){const c=n[r],[s,l]=c.r_invert(t,e);o[r]={start:s,end:l}}return o}e.scale_highlow=r,e.get_info=c,e.scale_range=function(n,t,e=!0,s=!0,l){t=o.clamp(t,-.9,.9);const a=e?t:0,[u,i]=r(n.bbox.h_range,a,null!=l?l.x:void 0),_=c(n.xscales,[u,i]),f=s?t:0,[d,b]=r(n.bbox.v_range,f,null!=l?l.y:void 0);return{xrs:_,yrs:c(n.yscales,[d,b]),factor:t}}},\n      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),s=o(285),n=o(330),_=e.__importStar(o(18)),m=o(287);class l extends s.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,s=n.scale_range(o,-this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:s}),this.plot_view.update_range(s,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomOutToolView=l,l.__name__=\"ZoomOutToolView\";class h extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom Out\",this.icon=m.bk_tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_out\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_out\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_out\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomOutTool=h,h.__name__=\"ZoomOutTool\",h.init_ZoomOutTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),n=e(9),i=e(8),r=e(11),_=e(284);class c extends _.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void r.unreachable():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){const o=this.plot_view.frame;return o.bbox.contains(e,t)?[o.xscales[s.x_range_name].invert(e),o.yscales[s.y_range_name].invert(t)]:null}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;e<s.length;e++){const t=s[e];o.splice(t-e,1)}}this._emit_cds_changes(t)}_pop_glyphs(e,t){const s=e.columns();if(t&&s.length)for(const o of s){let s=e.get_array(o);const n=s.length-t+1;n<1||(i.isArray(s)||(s=Array.from(s),e.data[o]=s),s.splice(0,n))}}_emit_cds_changes(e,t=!0,s=!0,o=!0){s&&e.selection_manager.clear(),t&&e.change.emit(),o&&(e.data=e.data,e.properties.data.change.emit())}_drag_points(e,t,s=\"both\"){if(null==this._basepoint)return;const[o,n]=this._basepoint;for(const i of t){const t=this._map_drag(o,n,i),r=this._map_drag(e.sx,e.sy,i);if(null==r||null==t)continue;const[_,c]=r,[a,l]=t,[d,u]=[_-a,c-l],m=i.glyph,h=i.data_source,[p,f]=[m.x.field,m.y.field];for(const e of h.selected.indices)!p||\"width\"!=s&&\"both\"!=s||(h.data[p][e]+=d),!f||\"height\"!=s&&\"both\"!=s||(h.data[f][e]+=u);h.change.emit()}this._basepoint=[e.sx,e.sy]}_pad_empty_columns(e,t){for(const s of e.columns())n.includes(t,s)||e.get_array(s).push(this.model.empty_value)}_select_event(e,t,s){const o=this.plot_view.frame,{sx:n,sy:i}=e;if(!o.bbox.contains(n,i))return[];const r={type:\"point\",sx:n,sy:i},_=[];for(const e of s){const s=e.get_selection_manager(),o=e.data_source,n=[this.plot_view.renderer_views.get(e)];s.select(n,r,!0,t)&&_.push(e),o.properties.selected.change.emit()}return _}}s.EditToolView=c,c.__name__=\"EditToolView\";class a extends _.GestureTool{constructor(e){super(e)}static init_EditTool(){this.define({custom_icon:[o.String],custom_tooltip:[o.String],empty_value:[o.Any],renderers:[o.Array,[]]})}get tooltip(){return this.custom_tooltip||this.tool_name}get computed_icon(){return this.custom_icon||this.icon}}s.EditTool=a,a.__name__=\"EditTool\",a.init_EditTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(68),o=i.__importStar(e(18)),n=e(332),a=e(287);class d extends n.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===_.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==_.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.frame,d=n.glyph,l=n.data_source,r=a.xscales[n.x_range_name],h=a.yscales[n.y_range_name],[p,u]=r.r_invert(e,t),[c,m]=h.r_invert(s,i),[f,b]=[(p+u)/2,(c+m)/2],[x,y]=[u-p,m-c],[w,g]=[d.x.field,d.y.field],[v,E]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),w&&l.get_array(w).push(f),g&&l.get_array(g).push(b),v&&l.get_array(v).push(x),E&&l.get_array(E).push(y),this._pad_empty_columns(l,[w,g,v,E]);else{const e=l.data[w].length-1;w&&(l.data[w][e]=f),g&&(l.data[g][e]=b),v&&(l.data[v][e]=x),E&&(l.data[E][e]=y)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=d,d.__name__=\"BoxEditToolView\";class l extends n.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=a.bk_tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}static init_BoxEditTool(){this.prototype.default_view=d,this.define({dimensions:[o.Dimensions,\"both\"],num_objects:[o.Int,0]})}}s.BoxEditTool=l,l.__name__=\"BoxEditTool\",l.init_BoxEditTool()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),r=e(68),_=s.__importStar(e(18)),o=e(8),i=e(332),d=e(287);class n extends i.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,i]=r,d=s.data_source,n=s.glyph,[l,h]=[n.xs.field,n.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),l&&d.get_array(l).push([_]),h&&d.get_array(h).push([i]),this._pad_empty_columns(d,[l,h]);else if(\"add\"==t){if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];o.isArray(t)||(t=Array.from(t),d.data[l][e]=t),t.push(_)}if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];o.isArray(t)||(t=Array.from(t),d.data[h][e]=t),t.push(i)}}this._emit_cds_changes(d,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===r.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=n,n.__name__=\"FreehandDrawToolView\";class l extends i.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=d.bk_tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}static init_FreehandDrawTool(){this.prototype.default_view=n,this.define({num_objects:[_.Int,0]})}}a.FreehandDrawTool=l,l.__name__=\"FreehandDrawTool\",l.init_FreehandDrawTool()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(68),a=s.__importStar(e(18)),n=e(332),_=e(287);class r extends n.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],o=this._map_drag(e.sx,e.sy,t);if(null==o)return;const s=t.glyph,i=t.data_source,[a,n]=[s.x.field,s.y.field],[_,r]=o;this._pop_glyphs(i,this.model.num_objects),a&&i.get_array(a).push(_),n&&i.get_array(n).push(r),this._pad_empty_columns(i,[a,n]),i.change.emit(),i.data=i.data,i.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===i.Keys.Backspace?this._delete_selected(t):e.keyCode==i.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}o.PointDrawToolView=r,r.__name__=\"PointDrawToolView\";class d extends n.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=_.bk_tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}static init_PointDrawTool(){this.prototype.default_view=r,this.define({add:[a.Boolean,!0],drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}o.PointDrawTool=d,d.__name__=\"PointDrawTool\",d.init_PointDrawTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(68),a=i.__importStar(e(18)),o=e(8),n=e(337),_=e(287);class d extends n.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==r)return;const[a,n]=this._snap_to_vertex(e,...r),_=i.data_source,d=i.glyph,[l,h]=[d.xs.field,d.ys.field];if(\"new\"==t)this._pop_glyphs(_,this.model.num_objects),l&&_.get_array(l).push([a,a]),h&&_.get_array(h).push([n,n]),this._pad_empty_columns(_,[l,h]);else if(\"edit\"==t){if(l){const e=_.data[l][_.data[l].length-1];e[e.length-1]=a}if(h){const e=_.data[h][_.data[h].length-1];e[e.length-1]=n}}else if(\"add\"==t){if(l){const e=_.data[l].length-1;let t=_.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=a,o.isArray(t)||(t=Array.from(t),_.data[l][e]=t),t.push(s)}if(h){const e=_.data[h].length-1;let t=_.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=n,o.isArray(t)||(t=Array.from(t),_.data[h][e]=t),t.push(s)}}this._emit_cds_changes(_,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;s<this.model.renderers.length;s++){const i=this.model.renderers[s],r=i.data_source,a=i.glyph,[o,n]=[a.xs.field,a.ys.field];if(o)for(const t of r.get_array(o))Array.prototype.push.apply(e,t);if(n)for(const e of r.get_array(n))Array.prototype.push.apply(t,e);this._drawing&&s==this.model.renderers.length-1&&(e.splice(e.length-1,1),t.splice(t.length-1,1))}this._set_vertices(e,t)}_doubletap(e){this.model.active&&(this._drawing?(this._drawing=!1,this._draw(e,\"edit\",!0)):(this._drawing=!0,this._draw(e,\"new\",!0)))}_move(e){this._drawing&&this._draw(e,\"edit\")}_remove(){const e=this.model.renderers[0],t=e.data_source,s=e.glyph,[i,r]=[s.xs.field,s.ys.field];if(i){const e=t.data[i].length-1,s=t.get_array(i)[e];s.splice(s.length-1,1)}if(r){const e=t.data[r].length-1,s=t.get_array(r)[e];s.splice(s.length-1,1)}this._emit_cds_changes(t)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Backspace?this._delete_selected(t):e.keyCode==r.Keys.Esc&&(this._drawing&&(this._remove(),this._drawing=!1),t.data_source.selection_manager.clear())}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){if(null==this._basepoint||!this.model.drag)return;const[t,s]=this._basepoint;for(const i of this.model.renderers){const r=this._map_drag(t,s,i),a=this._map_drag(e.sx,e.sy,i);if(null==a||null==r)continue;const o=i.data_source,n=i.glyph,[_,d]=[n.xs.field,n.ys.field];if(!_&&!d)continue;const[l,h]=a,[c,g]=r,[p,f]=[l-c,h-g];for(const e of o.selected.indices){let t,s,i;_&&(s=o.data[_][e]),d?(i=o.data[d][e],t=i.length):t=s.length;for(let e=0;e<t;e++)s&&(s[e]+=p),i&&(i[e]+=f)}o.change.emit()}this._basepoint=[e.sx,e.sy]}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source);this._basepoint=null}}activate(){if(this.model.vertex_renderer&&this.model.active){if(this._show_vertices(),!this._initialized)for(const e of this.model.renderers){const t=e.data_source;t.connect(t.properties.data.change,()=>this._show_vertices())}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=d,d.__name__=\"PolyDrawToolView\";class l extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.bk_tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}static init_PolyDrawTool(){this.prototype.default_view=d,this.define({drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),i=e(8),s=e(332);class _ extends s.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,_]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),_&&(i.isArray(t)?o.data[_]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,\"replace\",[this.model.vertex_renderer]),i=this.model.vertex_renderer.data_source,s=this.model.vertex_renderer.glyph,[_,l]=[s.x.field,s.y.field];if(o.length){const e=i.selected.indices[0];_&&(t=i.data[_][e]),l&&(r=i.data[l][e]),i.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class l extends s.EditTool{constructor(e){super(e)}static init_PolyTool(){this.prototype.default_view=_,this.define({vertex_renderer:[o.Instance]})}}r.PolyTool=l,l.__name__=\"PolyTool\",l.init_PolyTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(68),i=e(8),_=e(337),d=e(287);class n extends _.PolyToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this._select_event(e,\"replace\",this.model.renderers);if(!t.length)return this._set_vertices([],[]),this._selected_renderer=null,void(this._drawing=!1);const s=t[0],r=s.glyph,_=s.data_source,d=_.selected.indices[0],[n,l]=[r.xs.field,r.ys.field];let a,c;n?(a=_.data[n][d],i.isArray(a)||(_.data[n][d]=a=Array.from(a))):a=r.xs.value,l?(c=_.data[l][d],i.isArray(c)||(_.data[l][d]=c=Array.from(c))):c=r.ys.value,this._selected_renderer=s,this._set_vertices(a,c)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===r.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==r.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=n,n.__name__=\"PolyEditToolView\";class l extends _.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=d.bk_tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=n}}s.PolyEditTool=l,l.__name__=\"PolyEditTool\",l.init_PolyEditTool()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(340),l=e(107),_=s.__importStar(e(18)),n=e(287);class c extends i.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.push_state(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const _={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(_,i,l)}}o.BoxSelectToolView=c,c.__name__=\"BoxSelectToolView\";const r=()=>new l.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=n.bk_tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=c,this.define({dimensions:[_.Dimensions,\"both\"],select_every_mousemove:[_.Boolean,!1],overlay:[_.Instance,r],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_select\",()=>new h),this.register_alias(\"xbox_select\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_select\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}o.BoxSelectTool=h,h.__name__=\"BoxSelectTool\",h.init_BoxSelectTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),r=e(81),c=e(100),i=e(341),l=n.__importStar(e(18)),a=e(68),d=e(291),_=e(14),h=e(11);class u extends o.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect(()=>this._clear())}get computed_renderers(){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;return i.compute_renderers(e,t,s)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof r.GlyphRenderer)n=s.data_source;else{if(!(s instanceof c.GraphRenderer))continue;n=s.node_renderer.data_source}const o=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...o,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void h.unreachable():this.model.mode}_keyup(e){e.keyCode==a.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();this.plot_view.request_render()}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,o]of n){const n=o[0].get_selection_manager(),r=[];for(const e of o){const t=this.plot_view.renderer_views.get(e);null!=t&&r.push(t)}n.select(r,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{frame:s}=this.plot_view,n=s.xscales.default,o=s.yscales.default;let r;switch(e.type){case\"point\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:s,sy0:c,sy1:i}=e,[l,a]=n.r_invert(t,s),[d,_]=o.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:l,y0:d,x1:a,y1:_});break}case\"poly\":{const{sx:t,sy:s}=e,c=n.v_invert(t),i=o.v_invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new d.SelectionGeometry(r,t))}}s.SelectToolView=u,u.__name__=\"SelectToolView\";class p extends o.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new _.Signal0(this,\"clear\")}static init_SelectTool(){this.define({renderers:[l.Any,\"auto\"],names:[l.Array,[]],mode:[l.Any,\"replace\"]})}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=p,p.__name__=\"SelectTool\",p.init_SelectTool()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(9);t.compute_renderers=function(e,n,t){if(null==e)return[];let u=\"auto\"==e?n:e;return t.length>0&&(u=u.filter(e=>r.includes(t,e.name))),u}},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),i=t(284),n=t(107),_=s.__importStar(t(18)),a=t(287);class l extends i.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m<n&&(m=n)),l=Math.abs(p-m),t[1]<=o[1]?(b=t[1],d=t[1]+l/s,d>_&&(d=_)):(d=t[1],b=t[1]-l/s,b<a&&(b=a)),r=Math.abs(d-b),t[0]<=o[0]?p=t[0]+s*r:m=t[0]-s*r,[[m,p],[b,d]]}_compute_limits(t){const o=this.plot_view.frame,e=this.model.dimensions;let s,i,n=this._base_point;if(\"center\"==this.model.origin){const[o,e]=n,[s,i]=t;n=[o-(s-o),e-(i-e)]}return this.model.match_aspect&&\"both\"==e?[s,i]=this._match_aspect(n,t,o):[s,i]=this.model._get_dim_limits(n,t,o,e),[s,i]}_pan_start(t){this._base_point=[t.sx,t.sy]}_pan(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this.model.overlay.update({left:e[0],right:e[1],top:s[0],bottom:s[1]})}_pan_end(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this._update(e,s),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null}_update([t,o],[e,s]){if(Math.abs(o-t)<=5||Math.abs(s-e)<=5)return;const{xscales:i,yscales:n}=this.plot_view.frame,_={};for(const e in i){const s=i[e],[n,a]=s.r_invert(t,o);_[e]={start:n,end:a}}const a={};for(const t in n){const o=n[t],[i,_]=o.r_invert(e,s);a[t]={start:i,end:_}}const l={xrs:_,yrs:a};this.plot_view.push_state(\"box_zoom\",{range:l}),this.plot_view.update_range(l)}}e.BoxZoomToolView=l,l.__name__=\"BoxZoomToolView\";const r=()=>new n.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=a.bk_tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=l,this.define({dimensions:[_.Dimensions,\"both\"],overlay:[_.Instance,r],match_aspect:[_.Boolean,!1],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_zoom\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xbox_zoom\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_zoom\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}e.BoxZoomTool=h,h.__name__=\"BoxZoomTool\",h.init_BoxZoomTool()},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(340),i=e(139),a=e(68),_=o.__importStar(e(18)),c=e(287);class n extends l.SelectToolView{initialize(){super.initialize(),this.data=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_overlay()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_overlay()}_pan_start(e){const{sx:s,sy:t}=e;this.data={sx:[s],sy:[t]}}_pan(e){const{sx:s,sy:t}=e,[o,l]=this.plot_view.frame.bbox.clip(s,t);this.data.sx.push(o),this.data.sy.push(l),this.model.overlay.update({xs:this.data.sx,ys:this.data.sy}),this.model.select_every_mousemove&&this._do_select(this.data.sx,this.data.sy,!1,this._select_mode(e))}_pan_end(e){this._clear_overlay(),this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"lasso_select\",{selection:this.plot_view.get_selection()})}_clear_overlay(){this.model.overlay.update({xs:[],ys:[]})}_do_select(e,s,t,o){const l={type:\"poly\",sx:e,sy:s};this._select(l,t,o)}}t.LassoSelectToolView=n,n.__name__=\"LassoSelectToolView\";const h=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class r extends l.SelectTool{constructor(e){super(e),this.tool_name=\"Lasso Select\",this.icon=c.bk_tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=n,this.define({select_every_mousemove:[_.Boolean,!0],overlay:[_.Instance,h]}),this.register_alias(\"lasso_select\",()=>new r)}}t.LassoSelectTool=r,r.__name__=\"LassoSelectTool\",r.init_LassoSelectTool()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(345),r=s.__importStar(e(18)),_=e(287);class d extends n.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const i of t){1==this._select_event(e,\"replace\",[i]).length&&(this._selected_renderer=i)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[i,s]=[t.x.field,t.y.field],n=e.get_array(i),r=e.get_array(s);this._set_intersection(n,r)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const i=this._select_mode(e);if(0==this._select_event(e,i,[t]).length)return}const i=this._select_mode(e);this._select_event(e,i,[t]),this._select_event(e,i,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[i,s]=[e.x.field,e.y.field];if(i&&s){const e=t.data[i],n=t.data[s];this._selected_renderer.data_source.data[i]=e,this._selected_renderer.data_source.data[s]=n}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}i.LineEditToolView=d,d.__name__=\"LineEditToolView\";class o extends n.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=_.bk_tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_LineEditTool(){this.prototype.default_view=d,this.define({dimensions:[r.Dimensions,\"both\"]})}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.LineEditTool=o,o.__name__=\"LineEditTool\",o.init_LineEditTool()},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1).__importStar(e(18)),o=e(8),s=e(332);class _ extends s.EditToolView{_set_intersection(e,i){const t=this.model.intersection_renderer.glyph,n=this.model.intersection_renderer.data_source,[s,_]=[t.x.field,t.y.field];s&&(o.isArray(e)?n.data[s]=e:t.x={value:e}),_&&(o.isArray(i)?n.data[_]=i:t.y={value:i}),this._emit_cds_changes(n,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}t.LineToolView=_,_.__name__=\"LineToolView\";class r extends s.EditTool{constructor(e){super(e)}static init_LineTool(){this.prototype.default_view=_,this.define({intersection_renderer:[n.Instance]})}}t.LineTool=r,r.__name__=\"LineTool\",r.init_LineTool()},\n      function _(t,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),e=t(284),o=i.__importStar(t(18)),a=t(287);class _ extends e.GestureToolView{_pan_start(t){this.last_dx=0,this.last_dy=0;const{sx:s,sy:n}=t,i=this.plot_view.frame.bbox;if(!i.contains(s,n)){const t=i.h_range,e=i.v_range;(s<t.start||s>t.end)&&(this.v_axis_only=!0),(n<e.start||n>e.end)&&(this.h_axis_only=!0)}null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan(t){this._update(t.deltaX,t.deltaY),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.push_state(\"pan\",{range:this.pan_info})}_update(t,s){const n=this.plot_view.frame,i=t-this.last_dx,e=s-this.last_dy,o=n.bbox.h_range,a=o.start-i,_=o.end-i,h=n.bbox.v_range,l=h.start-e,r=h.end-e,d=this.model.dimensions;let c,p,m,u,x,y;\"width\"!=d&&\"both\"!=d||this.v_axis_only?(c=o.start,p=o.end,m=0):(c=a,p=_,m=-i),\"height\"!=d&&\"both\"!=d||this.h_axis_only?(u=h.start,x=h.end,y=0):(u=l,x=r,y=-e),this.last_dx=t,this.last_dy=s;const{xscales:v,yscales:b}=n,g={};for(const t in v){const s=v[t],[n,i]=s.r_invert(c,p);g[t]={start:n,end:i}}const w={};for(const t in b){const s=b[t],[n,i]=s.r_invert(u,x);w[t]={start:n,end:i}}this.pan_info={xrs:g,yrs:w,sdx:m,sdy:y},this.plot_view.update_range(this.pan_info,!0)}}n.PanToolView=_,_.__name__=\"PanToolView\";class h extends e.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=_,this.define({dimensions:[o.Dimensions,\"both\"]}),this.register_alias(\"pan\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xpan\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ypan\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(\"Pan\",this.dimensions)}get icon(){switch(this.dimensions){case\"both\":return a.bk_tool_icon_pan;case\"width\":return a.bk_tool_icon_xpan;case\"height\":return a.bk_tool_icon_ypan}}}n.PanTool=h,h.__name__=\"PanTool\",h.init_PanTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const l=e(1),o=e(340),i=e(139),a=e(68),_=l.__importStar(e(18)),c=e(9),n=e(287);class h extends o.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:c.copy(this.data.sx),ys:c.copy(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=h,h.__name__=\"PolySelectToolView\";const y=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.bk_tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define({overlay:[_.Instance,y]}),this.register_alias(\"poly_select\",()=>new d)}}s.PolySelectTool=d,d.__name__=\"PolySelectTool\",d.init_PolySelectTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(107),l=e(72),a=i.__importStar(e(18)),r=e(284),o=e(287);function _(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function h(e,t,s,i){if(null==t)return!1;const n=s.compute(t);return Math.abs(e-n)<i}function d(e,t,s,i,n){let l=!0;if(null!=n.left&&null!=n.right){const t=s.invert(e);(t<n.left||t>n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=i.invert(t);(e<n.bottom||e>n.top)&&(l=!1)}return l}function u(e,t,s){let i=0;return e>=s.start&&e<=s.end&&(i+=1),t>=s.start&&t<=s.end&&(i+=1),i}function c(e,t,s,i){const n=t.compute(e),l=t.invert(n+s);return l>=i.start&&l<=i.end?l:e}function g(e,t,s){return e>t.start?(t.end=e,s):(t.end=t.start,t.start=e,_(s))}function y(e,t,s){return e<t.end?(t.start=e,s):(t.start=t.end,t.end=e,_(s))}function f(e,t,s,i){const[n,l]=t.r_compute(e.start,e.end),[a,r]=t.r_invert(n+s,l+s),o=u(e.start,e.end,i);u(a,r,i)>=o&&(e.start=a,e.end=r)}s.flip_side=_,s.is_near=h,s.is_inside=d,s.sides_inside=u,s.compute_value=c,s.update_range_end_side=g,s.update_range_start_side=y,s.update_range=f;class p extends r.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,()=>this.model.update_overlay_from_ranges()),null!=this.model.y_range&&this.connect(this.model.y_range.change,()=>this.model.update_overlay_from_ranges())}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,s=this.model.y_range,i=this.plot_view.frame,l=i.xscales.default,a=i.yscales.default,r=this.model.overlay,{left:o,right:_,top:u,bottom:c}=r,g=this.model.overlay.properties.line_width.value()+n.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(h(e.sx,o,l,g)?this.side=1:h(e.sx,_,l,g)?this.side=2:d(e.sx,e.sy,l,a,r)&&(this.side=3)),null!=s&&this.model.y_interaction&&(0==this.side&&h(e.sy,c,a,g)&&(this.side=4),0==this.side&&h(e.sy,u,a,g)?this.side=5:d(e.sx,e.sy,l,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,s=e.deltaX-this.last_dx,i=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.xscales.default,r=t.yscales.default;if(null!=n)if(3==this.side||7==this.side)f(n,a,s,t.x_range);else if(1==this.side){const e=c(n.start,a,s,t.x_range);this.side=y(e,n,this.side)}else if(2==this.side){const e=c(n.end,a,s,t.x_range);this.side=g(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)f(l,r,i,t.y_range);else if(4==this.side){const e=c(l.start,r,i,t.y_range);this.side=y(e,l,this.side)}else if(5==this.side){const e=c(l.end,r,i,t.y_range);this.side=g(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0}}s.RangeToolView=p,p.__name__=\"RangeToolView\";const m=()=>new n.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class v extends r.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=o.bk_tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=p,this.define({x_range:[a.Instance,null],x_interaction:[a.Boolean,!0],y_range:[a.Instance,null],y_interaction:[a.Boolean,!0],overlay:[a.Instance,m]})}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,l.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}s.RangeTool=v,v.__name__=\"RangeTool\",v.init_RangeTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),o=e(340),a=i.__importStar(e(18)),n=e(287);class _ extends o.SelectToolView{_tap(e){const{sx:t,sy:s}=e,i={type:\"point\",sx:t,sy:s};this._select(i,!0,this._select_mode(e))}_select(e,t,s){const i=this.model.callback;if(\"select\"==this.model.behavior){const o=this._computed_renderers_by_data_source();for(const[,a]of o){const o=a[0].get_selection_manager(),n=a.map(e=>this.plot_view.renderer_views.get(e));if(o.select(n,e,t,s)&&null!=i){const{frame:t}=this.plot_view,s=t.xscales[a[0].x_range_name],n=t.yscales[a[0].y_range_name],_=s.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:o.source};i.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.push_state(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=t.get_selection_manager();if(s.inspect(this.plot_view.renderer_views.get(t),e)&&null!=i){const{frame:o}=this.plot_view,a=o.xscales[t.x_range_name],n=o.yscales[t.y_range_name],_=a.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:s.source};i.execute(this.model,l)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class c extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=n.bk_tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=_,this.define({behavior:[a.TapBehavior,\"select\"],callback:[a.Any]}),this.register_alias(\"click\",()=>new c({behavior:\"inspect\"})),this.register_alias(\"tap\",()=>new c)}}s.TapTool=c,c.__name__=\"TapTool\",c.init_TapTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),i=n.__importStar(e(18)),a=e(287);class l extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){const{frame:t}=this.plot_view,s=t.bbox.h_range,n=t.bbox.v_range,[o,i]=[s.start,s.end],[a,l]=[n.start,n.end];let r,h,_,d;switch(this.model.dimension){case\"height\":{const t=Math.abs(l-a);r=o,h=i,_=a-t*e,d=l-t*e;break}case\"width\":{const t=Math.abs(i-o);r=o-t*e,h=i-t*e,_=a,d=l;break}default:throw new Error(\"this shouldn't have happened\")}const{xscales:c,yscales:p}=t,m={};for(const e in c){const t=c[e],[s,n]=t.r_invert(r,h);m[e]={start:s,end:n}}const u={};for(const e in p){const t=p[e],[s,n]=t.r_invert(_,d);u[e]={start:s,end:n}}const w={xrs:m,yrs:u,factor:e};this.plot_view.push_state(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,!1,!0),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}s.WheelPanToolView=l,l.__name__=\"WheelPanToolView\";class r extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=a.bk_tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=l,this.define({dimension:[i.Dimension,\"width\"]}),this.internal({speed:[i.Number,.001]}),this.register_alias(\"xwheel_pan\",()=>new r({dimension:\"width\"})),this.register_alias(\"ywheel_pan\",()=>new r({dimension:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimension)}}s.WheelPanTool=r,r.__name__=\"WheelPanTool\",r.init_WheelPanTool()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),i=e(284),l=e(330),n=s.__importStar(e(18)),_=e(28),h=e(287);class a extends i.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:l}=e;let n;n=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:n,ctrlKey:i,shiftKey:l})}_scroll(e){const{frame:o}=this.plot_view,t=o.bbox.h_range,s=o.bbox.v_range,{sx:i,sy:n}=e,_=this.model.dimensions,h=(\"width\"==_||\"both\"==_)&&t.start<i&&i<t.end,a=(\"height\"==_||\"both\"==_)&&s.start<n&&n<s.end;if(!(h&&a||this.model.zoom_on_axis))return;const m=this.model.speed*e.delta,r=l.scale_range(o,m,h,a,{x:i,y:n});this.plot_view.push_state(\"wheel_zoom\",{range:r}),this.plot_view.update_range(r,!1,!0,this.model.maintain_focus),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}t.WheelZoomToolView=a,a.__name__=\"WheelZoomToolView\";class m extends i.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=h.bk_tool_icon_wheel_zoom,this.event_type=_.is_mobile?\"pinch\":\"scroll\",this.default_order=10}static init_WheelZoomTool(){this.prototype.default_view=a,this.define({dimensions:[n.Dimensions,\"both\"],maintain_focus:[n.Boolean,!0],zoom_on_axis:[n.Boolean,!0],speed:[n.Number,1/600]}),this.register_alias(\"wheel_zoom\",()=>new m({dimensions:\"both\"})),this.register_alias(\"xwheel_zoom\",()=>new m({dimensions:\"width\"})),this.register_alias(\"ywheel_zoom\",()=>new m({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}t.WheelZoomTool=m,m.__name__=\"WheelZoomTool\",m.init_WheelZoomTool()},\n      function _(i,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=i(1),o=i(274),n=i(141),l=t.__importStar(i(18)),h=i(17),a=i(287);class r extends o.InspectToolView{_move(i){if(!this.model.active)return;const{sx:s,sy:e}=i;this.plot_view.frame.bbox.contains(s,e)?this._update_spans(s,e):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,s){const e=this.model.dimensions;\"width\"!=e&&\"both\"!=e||(this.model.spans.width.location=s),\"height\"!=e&&\"both\"!=e||(this.model.spans.height.location=i)}}e.CrosshairToolView=r,r.__name__=\"CrosshairToolView\";class _ extends o.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=a.bk_tool_icon_crosshair}static init_CrosshairTool(){this.prototype.default_view=r,this.define({dimensions:[l.Dimensions,\"both\"],line_color:[l.Color,\"black\"],line_width:[l.Number,1],line_alpha:[l.Number,1]}),this.internal({spans:[l.Any]}),this.register_alias(\"crosshair\",()=>new _)}get tooltip(){return this._get_dim_tooltip(\"Crosshair\",this.dimensions)}get synthetic_renderers(){return h.values(this.spans)}initialize(){super.initialize(),this.spans={width:new n.Span({for_hover:!0,dimension:\"width\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha}),height:new n.Span({for_hover:!0,dimension:\"height\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha})}}}e.CrosshairTool=_,_.__name__=\"CrosshairTool\",_.init_CrosshairTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),o=e(71),i=r.__importStar(e(18)),a=e(17),n=e(24);class u extends o.Model{constructor(e){super(e)}static init_CustomJSHover(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get values(){return a.values(this.args)}_make_code(e,t,s,r){return new Function(...a.keys(this.args),e,t,s,n.use_strict(r))}format(e,t,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,t,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(274),i=e(144),r=e(81),l=e(100),a=e(341),c=n.__importStar(e(93)),d=e(160),_=e(68),p=n.__importStar(e(18)),h=e(20),m=e(17),u=e(8),y=e(99),x=e(287),f=e(145);function v(e,t,s,n,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[e+1]};let a,d;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-s),d=Math.abs(l.x-s)):(a=Math.abs(r.y-n),d=Math.abs(l.y-n));else{const e={x:s,y:n};a=c.dist_2_pts(r,e),d=c.dist_2_pts(l,e)}return a<d?[[r.x,r.y],e]:[[l.x,l.y],e+1]}function w(e,t,s){return[[e[s],t[s]],s]}s._nearest_line_hit=v,s._line_hit=w;class g extends o.InspectToolView{initialize(){super.initialize(),this._ttmodels=null,this._ttviews=new Map}remove(){y.remove_views(this._ttviews),super.remove()}connect_signals(){super.connect_signals();for(const e of this.computed_renderers)e instanceof r.GlyphRenderer?this.connect(e.data_source.inspect,this._update):e instanceof l.GraphRenderer&&(this.connect(e.node_renderer.data_source.inspect,this._update),this.connect(e.edge_renderer.data_source.inspect,this._update));this.connect(this.model.properties.renderers.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.names.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.tooltips.change,()=>this._ttmodels=null)}_compute_ttmodels(){const e=new Map,t=this.model.tooltips;if(null!=t)for(const s of this.computed_renderers){const n=new i.Tooltip({custom:u.isString(t)||u.isFunction(t),attachment:this.model.attachment,show_arrow:this.model.show_arrow});s instanceof r.GlyphRenderer?e.set(s,n):s instanceof l.GraphRenderer&&(e.set(s.node_renderer,n),e.set(s.edge_renderer,n))}return y.build_views(this._ttviews,[...e.values()],{parent:this.plot_view}),e}get computed_renderers(){if(null==this._computed_renderers){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;this._computed_renderers=a.compute_renderers(e,t,s)}return this._computed_renderers}get ttmodels(){return null==this._ttmodels&&(this._ttmodels=this._compute_ttmodels()),this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)?this._inspect(t,s):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let s;if(\"mouse\"==this.model.mode)s={type:\"point\",sx:e,sy:t};else{s={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){e.get_selection_manager().inspect(this.plot_view.renderer_views.get(e),s)}null!=this.model.callback&&this._emit_callback(s)}_update([e,{geometry:t}]){if(!this.model.active)return;if(!(e instanceof r.GlyphRendererView))return;const{model:s}=e;if(\"ignore\"==this.model.muted_policy&&s instanceof r.GlyphRenderer&&s.muted)return;const n=this.ttmodels.get(s);if(null==n)return;n.clear();const o=s.get_selection_manager();let i=o.inspectors.get(s);if(s instanceof r.GlyphRenderer&&(i=s.view.convert_selection_to_subset(i)),i.is_empty())return;const l=o.source,{frame:a}=this.plot_view,{sx:c,sy:d}=t,_=a.xscales[s.x_range_name],p=a.yscales[s.y_range_name],h=_.invert(c),u=p.invert(d),y=e.glyph;for(const s of i.line_indices){let o,r,a=y._x[s+1],m=y._y[s+1],x=s;switch(this.model.line_policy){case\"interp\":[a,m]=y.get_interpolation_hit(s,t),o=_.compute(a),r=p.compute(m);break;case\"prev\":[[o,r],x]=w(y.sx,y.sy,s);break;case\"next\":[[o,r],x]=w(y.sx,y.sy,s+1);break;case\"nearest\":[[o,r],x]=v(s,t,c,d,y.sx,y.sy),a=y._x[x],m=y._y[x];break;default:[o,r]=[c,d]}const f={index:x,x:h,y:u,sx:c,sy:d,data_x:a,data_y:m,rx:o,ry:r,indices:i.line_indices,name:e.model.name};n.add(o,r,this._render_tooltips(l,x,f))}for(const e of i.image_indices){const t={index:e.index,x:h,y:u,sx:c,sy:d},s=this._render_tooltips(l,e,t);n.add(c,d,s)}for(const o of i.indices)if(m.isEmpty(i.multiline_indices)){const t=null!=y._x?y._x[o]:void 0,a=null!=y._y?y._y[o]:void 0;let _,p,m;if(\"snap_to_data\"==this.model.point_policy){let e=y.get_anchor_point(this.model.anchor,o,[c,d]);null==e&&(e=y.get_anchor_point(\"center\",o,[c,d])),_=e.x,p=e.y}else[_,p]=[c,d];m=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const x={index:m,x:h,y:u,sx:c,sy:d,data_x:t,data_y:a,indices:i.indices,name:e.model.name};n.add(_,p,this._render_tooltips(l,m,x))}else for(const a of i.multiline_indices[o.toString()]){let m,x,f,g=y._xs[o][a],b=y._ys[o][a],k=a;switch(this.model.line_policy){case\"interp\":[g,b]=y.get_interpolation_hit(o,a,t),m=_.compute(g),x=p.compute(b);break;case\"prev\":[[m,x],k]=w(y.sxs[o],y.sys[o],a);break;case\"next\":[[m,x],k]=w(y.sxs[o],y.sys[o],a+1);break;case\"nearest\":[[m,x],k]=v(a,t,c,d,y.sxs[o],y.sys[o]),g=y._xs[o][k],b=y._ys[o][k];break;default:throw new Error(\"should't have happened\")}f=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const T={index:f,x:h,y:u,sx:c,sy:d,data_x:g,data_y:b,segment_index:k,indices:i.multiline_indices,name:e.model.name};n.add(m,x,this._render_tooltips(l,f,T))}}_emit_callback(e){for(const t of this.computed_renderers){const s=t.data_source.inspected,{frame:n}=this.plot_view,o=n.xscales[t.x_range_name],i=n.yscales[t.y_range_name],r=o.invert(e.sx),l=i.invert(e.sy),a=Object.assign({x:r,y:l},e);this.model.callback.execute(this.model,{index:s,geometry:a,renderer:t})}}_render_tooltips(e,t,s){const n=this.model.tooltips;if(u.isString(n)){const o=_.div();return o.innerHTML=d.replace_placeholders(n,e,t,this.model.formatters,s),o}if(u.isFunction(n))return n(e,s);{const o=_.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[i,r]of n){const n=_.div({style:{display:\"table-row\"}});let l;if(o.appendChild(n),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_label},0!=i.length?i+\": \":\"\"),n.appendChild(l),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_value}),n.appendChild(l),r.indexOf(\"$color\")>=0){const[,s=\"\",n]=r.match(/\\$color(\\[.*\\])?:(\\w*)/),o=e.get_column(n);if(null==o){const e=_.span({},n+\" unknown\");l.appendChild(e);continue}const i=s.indexOf(\"hex\")>=0,a=s.indexOf(\"swatch\")>=0;let c=u.isNumber(t)?o[t]:null;if(null==c){const e=_.span({},\"(null)\");l.appendChild(e);continue}i&&(c=h.color2hex(c));let d=_.span({},c);l.appendChild(d),a&&(d=_.span({class:f.bk_tooltip_color_block,style:{backgroundColor:c}},\" \"),l.appendChild(d))}else{const n=_.span();n.innerHTML=d.replace_placeholders(r.replace(\"$~\",\"$data_\"),e,t,this.model.formatters,s),l.appendChild(n)}}return o}}}s.HoverToolView=g,g.__name__=\"HoverToolView\";class b extends o.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=x.bk_tool_icon_hover}static init_HoverTool(){this.prototype.default_view=g,this.define({tooltips:[p.Any,[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[p.Any,{}],renderers:[p.Any,\"auto\"],names:[p.Array,[]],mode:[p.HoverMode,\"mouse\"],muted_policy:[p.MutedPolicy,\"show\"],point_policy:[p.PointPolicy,\"snap_to_data\"],line_policy:[p.LinePolicy,\"nearest\"],show_arrow:[p.Boolean,!0],anchor:[p.Anchor,\"center\"],attachment:[p.TooltipAttachment,\"horizontal\"],callback:[p.Any]}),this.register_alias(\"hover\",()=>new b)}}s.HoverTool=b,b.__name__=\"HoverTool\",b.init_HoverTool()},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),n=t(14),s=t(71),l=t(274),c=t(356);class r extends s.Model{constructor(t){super(t)}static init_ToolProxy(){this.define({tools:[i.Array,[]],active:[i.Boolean,!1],disabled:[i.Boolean,!1]})}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof l.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new n.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,()=>this.doit()),this.connect(this.properties.active.change,()=>this.set_active());for(const t of this.tools)this.connect(t.properties.active.change,()=>{this.active=t.active})}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,i]of c.enumerate(t))if(null==e)o.push(null);else{const t=()=>{var t,o;for(const e of this.tools)null===(o=null===(t=e.menu)||void 0===t?void 0:t[i])||void 0===o||o.handler()};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=r,r.__name__=\"ToolProxy\",r.init_ToolProxy()},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=e(9);function*r(e,n){const o=e.length;if(n>o)return;const r=t.range(n);for(yield r.map(n=>e[n]);;){let f;for(const e of t.reversed(t.range(n)))if(r[e]!=e+o-n){f=e;break}if(null==f)return;r[f]+=1;for(const e of t.range(f+1,n))r[e]=r[e-1]+1;yield r.map(n=>e[n])}}o.enumerate=function*(e){let n=0;for(const o of e)yield[o,n++]},o.combinations=r,o.subsets=function*(e){for(const n of t.range(e.length+1))yield*r(e,n)}},\n      function _(t,o,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),e=t(9),n=t(283),r=t(355),l=t(245),c=t(188);class h extends n.ToolbarBase{constructor(t){super(t)}static init_ProxyToolbar(){this.define({toolbars:[i.Array,[]]})}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const t={},o={},s={},i=[],n=[];for(const t of this.help)e.includes(n,t.redirect)||(i.push(t),n.push(t.redirect));this._proxied_tools.push(...i),this.help=i;for(const t in this.gestures){const o=this.gestures[t];t in s||(s[t]={});for(const i of o.tools)i.type in s[t]||(s[t][i.type]=[]),s[t][i.type].push(i)}for(const o of this.inspectors)o.type in t||(t[o.type]=[]),t[o.type].push(o);for(const t of this.actions)t.type in o||(o[t.type]=[]),o[t.type].push(t);const l=(t,o=!1)=>{const s=new r.ToolProxy({tools:t,active:o});return this._proxied_tools.push(s),s};for(const t in s){const o=this.gestures[t];o.tools=[];for(const i in s[t]){const e=s[t][i];if(e.length>0)if(\"multi\"==t)for(const t of e){const s=l([t]);o.tools.push(s),this.connect(s.properties.active.change,()=>this._active_change(s))}else{const t=l(e);o.tools.push(t),this.connect(t.properties.active.change,()=>this._active_change(t))}}}this.actions=[];for(const t in o){const s=o[t];if(\"CustomAction\"==t)for(const t of s)this.actions.push(l([t]));else s.length>0&&this.actions.push(l(s))}this.inspectors=[];for(const o in t){const s=t[o];s.length>0&&this.inspectors.push(l(s,!0))}for(const t in this.gestures){const o=this.gestures[t];0!=o.tools.length&&(o.tools=e.sort_by(o.tools,t=>t.default_order),\"pinch\"!=t&&\"scroll\"!=t&&\"multi\"!=t&&(o.tools[0].active=!0))}}}s.ProxyToolbar=h,h.__name__=\"ProxyToolbar\",h.init_ProxyToolbar();class a extends l.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new c.ContentBox(this.child_views[0].el);const{toolbar:t}=this.model;t.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}}s.ToolbarBoxView=a,a.__name__=\"ToolbarBoxView\";class _ extends l.LayoutDOM{constructor(t){super(t)}static init_ToolbarBox(){this.prototype.default_view=a,this.define({toolbar:[i.Instance],toolbar_location:[i.Location,\"right\"]})}}s.ToolbarBox=_,_.__name__=\"ToolbarBox\",_.init_ToolbarBox()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(5),i=e(66),d=e(99),c=e(68),l=e(359);t.index={},t.add_document_standalone=async function(e,n,s=[],a=!1){const u=new Map;async function r(o){let a;const r=e.roots().indexOf(o),f=s[r];null!=f?a=f:n.classList.contains(l.BOKEH_ROOT)?a=n:(a=c.div({class:l.BOKEH_ROOT}),n.appendChild(a));const v=await d.build_view(o,{parent:null});return v instanceof i.DOMView&&v.renderTo(a),u.set(o,v),t.index[o.id]=v,v}for(const n of e.roots())await r(n);return a&&(window.document.title=e.title()),e.on_change(e=>{e instanceof o.RootAddedEvent?r(e.model):e instanceof o.RootRemovedEvent?function(e){const n=u.get(e);null!=n&&(n.remove(),u.delete(e),delete t.index[e.id])}(e.model):a&&e instanceof o.TitleChangedEvent&&(window.document.title=e.title)}),[...u.values()]}},\n      function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(68),r=e(246);function l(e){let o=document.getElementById(e);if(null==o)throw new 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specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. 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h extends s.InputWidget{constructor(e){super(e)}static init_TextInput(){this.prototype.default_view=a,this.define({value:[p.String,\"\"],value_input:[p.String,\"\"],placeholder:[p.String,\"\"]})}}i.TextInput=h,h.__name__=\"TextInput\",h.init_TextInput()},\n      398: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),l=t(393),s=t(68),_=n.__importStar(t(18)),o=n.__importDefault(t(399)),r=t(400);class p extends l.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,()=>{this.label_el.textContent=this.model.title})}styles(){return[...super.styles(),o.default]}render(){super.render();const{title:t}=this.model;this.label_el=s.label({style:{display:0==t.length?\"none\":\"\"}},t),this.group_el=s.div({class:r.bk_input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=p,p.__name__=\"InputWidgetView\";class u extends l.Control{constructor(t){super(t)}static init_InputWidget(){this.define({title:[_.String,\"\"]})}}i.InputWidget=u,u.__name__=\"InputWidget\",u.init_InputWidget()},\n      399: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-input {\\n  display: inline-block;\\n  width: 100%;\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  min-height: 31px;\\n  padding: 0 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n}\\n.bk-root .bk-input:focus {\\n  border-color: #66afe9;\\n  outline: 0;\\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);\\n}\\n.bk-root .bk-input::placeholder,\\n.bk-root .bk-input:-ms-input-placeholder,\\n.bk-root .bk-input::-moz-placeholder,\\n.bk-root .bk-input::-webkit-input-placeholder {\\n  color: #999;\\n  opacity: 1;\\n}\\n.bk-root .bk-input[disabled] {\\n  cursor: not-allowed;\\n  background-color: #eee;\\n  opacity: 1;\\n}\\n.bk-root select:not([multiple]).bk-input,\\n.bk-root select:not([size]).bk-input {\\n  height: auto;\\n  appearance: none;\\n  -webkit-appearance: none;\\n  background-image: url(\\'data:image/svg+xml;utf8,<svg version=\"1.1\" viewBox=\"0 0 25 20\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M 0,0 25,0 12.5,20 Z\" fill=\"black\" /></svg>\\');\\n  background-position: right 0.5em center;\\n  background-size: 8px 6px;\\n  background-repeat: no-repeat;\\n}\\n.bk-root select[multiple].bk-input,\\n.bk-root select[size].bk-input,\\n.bk-root textarea.bk-input {\\n  height: auto;\\n}\\n.bk-root .bk-input-group {\\n  width: 100%;\\n  height: 100%;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: start;\\n  -webkit-align-items: start;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  white-space: nowrap;\\n}\\n.bk-root .bk-input-group.bk-inline {\\n  flex-direction: row;\\n  -webkit-flex-direction: 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i=t(1),c=t(403),s=t(68),n=i.__importStar(t(18)),a=t(146);class u extends c.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach((e,o)=>{s.classes(e).toggle(a.bk_active,t.has(o))})}}o.CheckboxButtonGroupView=u,u.__name__=\"CheckboxButtonGroupView\";class r extends c.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=u,this.define({active:[n.Array,[]]})}}o.CheckboxButtonGroup=r,r.__name__=\"CheckboxButtonGroup\",r.init_CheckboxButtonGroup()},\n      403: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),o=t(393),i=t(68),r=n.__importStar(t(18)),_=t(254),u=n.__importDefault(t(256));class a extends o.ControlView{*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,()=>this.render()),this.on_change(t.labels,()=>this.render()),this.on_change(t.active,()=>this._update_active())}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map((t,e)=>{const s=i.div({class:[_.bk_btn,_.bk_btn_type(this.model.button_type)],disabled:this.model.disabled},t);return s.addEventListener(\"click\",()=>this.change_active(e)),s}),this._update_active();const t=i.div({class:_.bk_btn_group},this._buttons);this.el.appendChild(t)}}s.ButtonGroupView=a,a.__name__=\"ButtonGroupView\";class l extends o.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define({labels:[r.Array,[]],button_type:[r.ButtonType,\"default\"]})}}s.ButtonGroup=l,l.__name__=\"ButtonGroup\",l.init_ButtonGroup()},\n      404: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(405),o=e(68),c=e(9),a=n.__importStar(e(18)),l=e(146),d=e(400);class r extends 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s=e(1),o=e(393),r=s.__importDefault(e(399));class u extends o.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}styles(){return[...super.styles(),r.default]}}n.InputGroupView=u,u.__name__=\"InputGroupView\";class _ extends o.Control{constructor(e){super(e)}}n.InputGroup=_,_.__name__=\"InputGroup\"},\n      406: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),o=e(398),s=e(68),l=n.__importStar(e(18)),r=e(400);class c extends 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K(){s(h.monthNav),h.monthNav.appendChild(h.prevMonthNav),h.config.showMonths&&(h.yearElements=[],h.monthElements=[]);for(var e=h.config.showMonths;e--;){var t=J();h.yearElements.push(t.yearElement),h.monthElements.push(t.monthElement),h.monthNav.appendChild(t.container)}h.monthNav.appendChild(h.nextMonthNav)}function U(){h.weekdayContainer?s(h.weekdayContainer):h.weekdayContainer=d(\"div\",\"flatpickr-weekdays\");for(var e=h.config.showMonths;e--;){var t=d(\"div\",\"flatpickr-weekdaycontainer\");h.weekdayContainer.appendChild(t)}return q(),h.weekdayContainer}function q(){if(h.weekdayContainer){var e=h.l10n.firstDayOfWeek,t=h.l10n.weekdays.shorthand.slice();e>0&&e<t.length&&(t=t.splice(e,t.length).concat(t.splice(0,e)));for(var n=h.config.showMonths;n--;)h.weekdayContainer.children[n].innerHTML=\"\\n      <span class='flatpickr-weekday'>\\n        \"+t.join(\"</span><span class='flatpickr-weekday'>\")+\"\\n      </span>\\n      \"}}function $(e,t){void 0===t&&(t=!0);var n=t?e:e-h.currentMonth;n<0&&!0===h._hidePrevMonthArrow||n>0&&!0===h._hideNextMonthArrow||(h.currentMonth+=n,(h.currentMonth<0||h.currentMonth>11)&&(h.currentYear+=h.currentMonth>11?1:-1,h.currentMonth=(h.currentMonth+12)%12,fe(\"onYearChange\"),B()),R(),fe(\"onMonthChange\"),pe())}function z(e){return!(!h.config.appendTo||!h.config.appendTo.contains(e))||h.calendarContainer.contains(e)}function G(e){if(h.isOpen&&!h.config.inline){var t=\"function\"==typeof(r=e).composedPath?r.composedPath()[0]:r.target,n=z(t),a=t===h.input||t===h.altInput||h.element.contains(t)||e.path&&e.path.indexOf&&(~e.path.indexOf(h.input)||~e.path.indexOf(h.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!z(e.relatedTarget):!a&&!n&&!z(e.relatedTarget),o=!h.config.ignoredFocusElements.some((function(e){return e.contains(t)}));i&&o&&(void 0!==h.timeContainer&&void 0!==h.minuteElement&&void 0!==h.hourElement&&x(),h.close(),\"range\"===h.config.mode&&1===h.selectedDates.length&&(h.clear(!1),h.redraw()))}var 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h.l10n.amPM[0].charAt(0):case h.l10n.amPM[0].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[0],E(),ve();break;case h.l10n.amPM[1].charAt(0):case h.l10n.amPM[1].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[1],E(),ve()}(t||z(e.target))&&fe(\"onKeyDown\",e)}function ee(e){if(1===h.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var t=e?e.dateObj.getTime():h.days.firstElementChild.dateObj.getTime(),n=h.parseDate(h.selectedDates[0],void 0,!0).getTime(),a=Math.min(t,h.selectedDates[0].getTime()),i=Math.max(t,h.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;c<i;c+=b)Z(new Date(c),!0)||(o=o||c>a&&c<i,c<n&&(!r||c>r)?r=c:c>n&&(!l||c<l)&&(l=c));for(var d=0;d<h.config.showMonths;d++)for(var s=h.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(t<=h.selectedDates[0].getTime()?\"startRange\":\"endRange\"),n<t&&m===n?f.classList.add(\"startRange\"):n>t&&m===n&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=n,u=t,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function te(){!h.isOpen||h.config.static||h.config.inline||oe()}function ne(){h.setDate(void 0!==h.config.minDate?new Date(h.config.minDate.getTime()):new Date,!0),k(),ve()}function ae(e){return function(t){var n=h.config[\"_\"+e+\"Date\"]=h.parseDate(t,h.config.dateFormat),a=h.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==n&&(h[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=n.getHours()>0||n.getMinutes()>0||n.getSeconds()>0),h.selectedDates&&(h.selectedDates=h.selectedDates.filter((function(e){return Z(e)})),h.selectedDates.length||\"min\"!==e||T(n),ve()),h.daysContainer&&(re(),void 0!==n?h.currentYearElement[e]=n.getFullYear().toString():h.currentYearElement.removeAttribute(e),h.currentYearElement.disabled=!!a&&void 0!==n&&a.getFullYear()===n.getFullYear())}}function ie(){\"object\"!=typeof h.config.locale&&void 0===y.l10ns[h.config.locale]&&h.config.errorHandler(new Error(\"flatpickr: invalid locale \"+h.config.locale)),h.l10n=e({},y.l10ns.default,\"object\"==typeof h.config.locale?h.config.locale:\"default\"!==h.config.locale?y.l10ns[h.config.locale]:void 0),p.K=\"(\"+h.l10n.amPM[0]+\"|\"+h.l10n.amPM[1]+\"|\"+h.l10n.amPM[0].toLowerCase()+\"|\"+h.l10n.amPM[1].toLowerCase()+\")\",void 0===e({},g,JSON.parse(JSON.stringify(f.dataset||{}))).time_24hr&&void 0===y.defaultConfig.time_24hr&&(h.config.time_24hr=h.l10n.time_24hr),h.formatDate=v(h),h.parseDate=D({config:h.config,l10n:h.l10n})}function oe(e){if(void 0!==h.calendarContainer){fe(\"onPreCalendarPosition\");var t=e||h._positionElement,n=Array.prototype.reduce.call(h.calendarContainer.children,(function(e,t){return e+t.offsetHeight}),0),a=h.calendarContainer.offsetWidth,i=h.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=t.getBoundingClientRect(),d=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&d<n&&l.top>n,u=window.pageYOffset+l.top+(s?-n-2:t.offsetHeight+2);if(c(h.calendarContainer,\"arrowTop\",!s),c(h.calendarContainer,\"arrowBottom\",s),!h.config.inline){var f=window.pageXOffset+l.left-(null!=r&&\"center\"===r?(a-l.width)/2:0),m=window.document.body.offsetWidth-(window.pageXOffset+l.right),g=f+a>window.document.body.offsetWidth,p=m+a>window.document.body.offsetWidth;if(c(h.calendarContainer,\"rightMost\",g),!h.config.static)if(h.calendarContainer.style.top=u+\"px\",g)if(p){var v=document.styleSheets[0];if(void 0===v)return;var D=window.document.body.offsetWidth,w=Math.max(0,D/2-a/2),b=v.cssRules.length,C=\"{left:\"+l.left+\"px;right:auto;}\";c(h.calendarContainer,\"rightMost\",!1),c(h.calendarContainer,\"centerMost\",!0),v.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+C,b),h.calendarContainer.style.left=w+\"px\",h.calendarContainer.style.right=\"auto\"}else h.calendarContainer.style.left=\"auto\",h.calendarContainer.style.right=m+\"px\";else h.calendarContainer.style.left=f+\"px\",h.calendarContainer.style.right=\"auto\"}}}function re(){h.config.noCalendar||h.isMobile||(pe(),R())}function le(){h._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(h.close,0):h.close()}function ce(e){e.preventDefault(),e.stopPropagation();var t=function e(t,n){return n(t)?t:t.parentNode?e(t.parentNode,n):void 0}(e.target,(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==t){var n=t,a=h.latestSelectedDateObj=new Date(n.dateObj.getTime()),i=(a.getMonth()<h.currentMonth||a.getMonth()>h.currentMonth+h.config.showMonths-1)&&\"range\"!==h.config.mode;if(h.selectedDateElem=n,\"single\"===h.config.mode)h.selectedDates=[a];else if(\"multiple\"===h.config.mode){var o=ge(a);o?h.selectedDates.splice(parseInt(o),1):h.selectedDates.push(a)}else\"range\"===h.config.mode&&(2===h.selectedDates.length&&h.clear(!1,!1),h.latestSelectedDateObj=a,h.selectedDates.push(a),0!==w(a,h.selectedDates[0],!0)&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()})));if(E(),i){var r=h.currentYear!==a.getFullYear();h.currentYear=a.getFullYear(),h.currentMonth=a.getMonth(),r&&(fe(\"onYearChange\"),B()),fe(\"onMonthChange\")}if(pe(),R(),ve(),h.config.enableTime&&setTimeout((function(){return h.showTimeInput=!0}),50),i||\"range\"===h.config.mode||1!==h.config.showMonths?void 0!==h.selectedDateElem&&void 0===h.hourElement&&h.selectedDateElem&&h.selectedDateElem.focus():j(n),void 0!==h.hourElement&&void 0!==h.hourElement&&h.hourElement.focus(),h.config.closeOnSelect){var l=\"single\"===h.config.mode&&!h.config.enableTime,c=\"range\"===h.config.mode&&2===h.selectedDates.length&&!h.config.enableTime;(l||c)&&le()}F()}}h.parseDate=D({config:h.config,l10n:h.l10n}),h._handlers=[],h.pluginElements=[],h.loadedPlugins=[],h._bind=O,h._setHoursFromDate=T,h._positionCalendar=oe,h.changeMonth=$,h.changeYear=V,h.clear=function(e,t){void 0===e&&(e=!0),void 0===t&&(t=!0),h.input.value=\"\",void 0!==h.altInput&&(h.altInput.value=\"\"),void 0!==h.mobileInput&&(h.mobileInput.value=\"\"),h.selectedDates=[],h.latestSelectedDateObj=void 0,!0===t&&(h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth()),h.showTimeInput=!1,!0===h.config.enableTime&&k(),h.redraw(),e&&fe(\"onChange\")},h.close=function(){h.isOpen=!1,h.isMobile||(void 0!==h.calendarContainer&&h.calendarContainer.classList.remove(\"open\"),void 0!==h._input&&h._input.classList.remove(\"active\")),fe(\"onClose\")},h._createElement=d,h.destroy=function(){void 0!==h.config&&fe(\"onDestroy\");for(var e=h._handlers.length;e--;){var t=h._handlers[e];t.element.removeEventListener(t.event,t.handler,t.options)}if(h._handlers=[],h.mobileInput)h.mobileInput.parentNode&&h.mobileInput.parentNode.removeChild(h.mobileInput),h.mobileInput=void 0;else if(h.calendarContainer&&h.calendarContainer.parentNode)if(h.config.static&&h.calendarContainer.parentNode){var n=h.calendarContainer.parentNode;if(n.lastChild&&n.removeChild(n.lastChild),n.parentNode){for(;n.firstChild;)n.parentNode.insertBefore(n.firstChild,n);n.parentNode.removeChild(n)}}else h.calendarContainer.parentNode.removeChild(h.calendarContainer);h.altInput&&(h.input.type=\"text\",h.altInput.parentNode&&h.altInput.parentNode.removeChild(h.altInput),delete 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h.clear(t);se(e,n),h.showTimeInput=h.selectedDates.length>0,h.latestSelectedDateObj=h.selectedDates[h.selectedDates.length-1],h.redraw(),N(),T(),0===h.selectedDates.length&&h.clear(!1),ve(t),t&&fe(\"onChange\")},h.toggle=function(e){if(!0===h.isOpen)return h.close();h.open(e)};var de={locale:[ie,q],showMonths:[K,M,U],minDate:[N],maxDate:[N]};function se(e,t){var n=[];if(e instanceof Array)n=e.map((function(e){return h.parseDate(e,t)}));else if(e instanceof Date||\"number\"==typeof e)n=[h.parseDate(e,t)];else if(\"string\"==typeof e)switch(h.config.mode){case\"single\":case\"time\":n=[h.parseDate(e,t)];break;case\"multiple\":n=e.split(h.config.conjunction).map((function(e){return h.parseDate(e,t)}));break;case\"range\":n=e.split(h.l10n.rangeSeparator).map((function(e){return h.parseDate(e,t)}))}else h.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));h.selectedDates=n.filter((function(e){return e instanceof Date&&Z(e,!1)})),\"range\"===h.config.mode&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()}))}function ue(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?h.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:h.parseDate(e.from,void 0),to:h.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function fe(e,t){if(void 0!==h.config){var n=h.config[e];if(void 0!==n&&n.length>0)for(var a=0;n[a]&&a<n.length;a++)n[a](h.selectedDates,h.input.value,h,t);\"onChange\"===e&&(h.input.dispatchEvent(me(\"change\")),h.input.dispatchEvent(me(\"input\")))}}function me(e){var t=document.createEvent(\"Event\");return t.initEvent(e,!0,!0),t}function ge(e){for(var t=0;t<h.selectedDates.length;t++)if(0===w(h.selectedDates[t],e))return\"\"+t;return!1}function pe(){h.config.noCalendar||h.isMobile||!h.monthNav||(h.yearElements.forEach((function(e,t){var n=new Date(h.currentYear,h.currentMonth,1);n.setMonth(h.currentMonth+t),h.config.showMonths>1||\"static\"===h.config.monthSelectorType?h.monthElements[t].textContent=m(n.getMonth(),h.config.shorthandCurrentMonth,h.l10n)+\" \":h.monthsDropdownContainer.value=n.getMonth().toString(),e.value=n.getFullYear().toString()})),h._hidePrevMonthArrow=void 0!==h.config.minDate&&(h.currentYear===h.config.minDate.getFullYear()?h.currentMonth<=h.config.minDate.getMonth():h.currentYear<h.config.minDate.getFullYear()),h._hideNextMonthArrow=void 0!==h.config.maxDate&&(h.currentYear===h.config.maxDate.getFullYear()?h.currentMonth+1>h.config.maxDate.getMonth():h.currentYear>h.config.maxDate.getFullYear()))}function he(e){return h.selectedDates.map((function(t){return h.formatDate(t,e)})).filter((function(e,t,n){return\"range\"!==h.config.mode||h.config.enableTime||n.indexOf(e)===t})).join(\"range\"!==h.config.mode?h.config.conjunction:h.l10n.rangeSeparator)}function ve(e){void 0===e&&(e=!0),void 0!==h.mobileInput&&h.mobileFormatStr&&(h.mobileInput.value=void 0!==h.latestSelectedDateObj?h.formatDate(h.latestSelectedDateObj,h.mobileFormatStr):\"\"),h.input.value=he(h.config.dateFormat),void 0!==h.altInput&&(h.altInput.value=he(h.config.altFormat)),!1!==e&&fe(\"onValueUpdate\")}function De(e){var t=h.prevMonthNav.contains(e.target),n=h.nextMonthNav.contains(e.target);t||n?$(t?-1:1):h.yearElements.indexOf(e.target)>=0?e.target.select():e.target.classList.contains(\"arrowUp\")?h.changeYear(h.currentYear+1):e.target.classList.contains(\"arrowDown\")&&h.changeYear(h.currentYear-1)}return function(){h.element=h.input=f,h.isOpen=!1,function(){var a=[\"wrap\",\"weekNumbers\",\"allowInput\",\"clickOpens\",\"time_24hr\",\"enableTime\",\"noCalendar\",\"altInput\",\"shorthandCurrentMonth\",\"inline\",\"static\",\"enableSeconds\",\"disableMobile\"],i=e({},g,JSON.parse(JSON.stringify(f.dataset||{}))),o={};h.config.parseDate=i.parseDate,h.config.formatDate=i.formatDate,Object.defineProperty(h.config,\"enable\",{get:function(){return h.config._enable},set:function(e){h.config._enable=ue(e)}}),Object.defineProperty(h.config,\"disable\",{get:function(){return h.config._disable},set:function(e){h.config._disable=ue(e)}});var r=\"time\"===i.mode;if(!i.dateFormat&&(i.enableTime||r)){var c=y.defaultConfig.dateFormat||n.dateFormat;o.dateFormat=i.noCalendar||r?\"H:i\"+(i.enableSeconds?\":S\":\"\"):c+\" H:i\"+(i.enableSeconds?\":S\":\"\")}if(i.altInput&&(i.enableTime||r)&&!i.altFormat){var d=y.defaultConfig.altFormat||n.altFormat;o.altFormat=i.noCalendar||r?\"h:i\"+(i.enableSeconds?\":S K\":\" K\"):d+\" h:i\"+(i.enableSeconds?\":S\":\"\")+\" K\"}i.altInputClass||(h.config.altInputClass=h.input.className+\" \"+h.config.altInputClass),Object.defineProperty(h.config,\"minDate\",{get:function(){return h.config._minDate},set:ae(\"min\")}),Object.defineProperty(h.config,\"maxDate\",{get:function(){return h.config._maxDate},set:ae(\"max\")});var s=function(e){return function(t){h.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=h.parseDate(t,\"H:i:S\")}};Object.defineProperty(h.config,\"minTime\",{get:function(){return h.config._minTime},set:s(\"min\")}),Object.defineProperty(h.config,\"maxTime\",{get:function(){return h.config._maxTime},set:s(\"max\")}),\"time\"===i.mode&&(h.config.noCalendar=!0,h.config.enableTime=!0),Object.assign(h.config,o,i);for(var u=0;u<a.length;u++)h.config[a[u]]=!0===h.config[a[u]]||\"true\"===h.config[a[u]];for(t.filter((function(e){return void 0!==h.config[e]})).forEach((function(e){h.config[e]=l(h.config[e]||[]).map(C)})),h.isMobile=!h.config.disableMobile&&!h.config.inline&&\"single\"===h.config.mode&&!h.config.disable.length&&!h.config.enable.length&&!h.config.weekNumbers&&/Android|webOS|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini/i.test(navigator.userAgent),u=0;u<h.config.plugins.length;u++){var m=h.config.plugins[u](h)||{};for(var p in m)t.indexOf(p)>-1?h.config[p]=l(m[p]).map(C).concat(h.config[p]):void 0===i[p]&&(h.config[p]=m[p])}fe(\"onParseConfig\")}(),ie(),h.input=h.config.wrap?f.querySelector(\"[data-input]\"):f,h.input?(h.input._type=h.input.type,h.input.type=\"text\",h.input.classList.add(\"flatpickr-input\"),h._input=h.input,h.config.altInput&&(h.altInput=d(h.input.nodeName,h.config.altInputClass),h._input=h.altInput,h.altInput.placeholder=h.input.placeholder,h.altInput.disabled=h.input.disabled,h.altInput.required=h.input.required,h.altInput.tabIndex=h.input.tabIndex,h.altInput.type=\"text\",h.input.setAttribute(\"type\",\"hidden\"),!h.config.static&&h.input.parentNode&&h.input.parentNode.insertBefore(h.altInput,h.input.nextSibling)),h.config.allowInput||h._input.setAttribute(\"readonly\",\"readonly\"),h._positionElement=h.config.positionElement||h._input):h.config.errorHandler(new Error(\"Invalid input element specified\")),function(){h.selectedDates=[],h.now=h.parseDate(h.config.now)||new Date;var e=h.config.defaultDate||(\"INPUT\"!==h.input.nodeName&&\"TEXTAREA\"!==h.input.nodeName||!h.input.placeholder||h.input.value!==h.input.placeholder?h.input.value:null);e&&se(e,h.config.dateFormat),h._initialDate=h.selectedDates.length>0?h.selectedDates[0]:h.config.minDate&&h.config.minDate.getTime()>h.now.getTime()?h.config.minDate:h.config.maxDate&&h.config.maxDate.getTime()<h.now.getTime()?h.config.maxDate:h.now,h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth(),h.selectedDates.length>0&&(h.latestSelectedDateObj=h.selectedDates[0]),void 0!==h.config.minTime&&(h.config.minTime=h.parseDate(h.config.minTime,\"H:i\")),void 0!==h.config.maxTime&&(h.config.maxTime=h.parseDate(h.config.maxTime,\"H:i\")),h.minDateHasTime=!!h.config.minDate&&(h.config.minDate.getHours()>0||h.config.minDate.getMinutes()>0||h.config.minDate.getSeconds()>0),h.maxDateHasTime=!!h.config.maxDate&&(h.config.maxDate.getHours()>0||h.config.maxDate.getMinutes()>0||h.config.maxDate.getSeconds()>0),Object.defineProperty(h,\"showTimeInput\",{get:function(){return h._showTimeInput},set:function(e){h._showTimeInput=e,h.calendarContainer&&c(h.calendarContainer,\"showTimeInput\",e),h.isOpen&&oe()}})}(),h.utils={getDaysInMonth:function(e,t){return void 0===e&&(e=h.currentMonth),void 0===t&&(t=h.currentYear),1===e&&(t%4==0&&t%100!=0||t%400==0)?29:h.l10n.daysInMonth[e]}},h.isMobile||function(){var e=window.document.createDocumentFragment();if(h.calendarContainer=d(\"div\",\"flatpickr-calendar\"),h.calendarContainer.tabIndex=-1,!h.config.noCalendar){if(e.appendChild((h.monthNav=d(\"div\",\"flatpickr-months\"),h.yearElements=[],h.monthElements=[],h.prevMonthNav=d(\"span\",\"flatpickr-prev-month\"),h.prevMonthNav.innerHTML=h.config.prevArrow,h.nextMonthNav=d(\"span\",\"flatpickr-next-month\"),h.nextMonthNav.innerHTML=h.config.nextArrow,K(),Object.defineProperty(h,\"_hidePrevMonthArrow\",{get:function(){return h.__hidePrevMonthArrow},set:function(e){h.__hidePrevMonthArrow!==e&&(c(h.prevMonthNav,\"flatpickr-disabled\",e),h.__hidePrevMonthArrow=e)}}),Object.defineProperty(h,\"_hideNextMonthArrow\",{get:function(){return h.__hideNextMonthArrow},set:function(e){h.__hideNextMonthArrow!==e&&(c(h.nextMonthNav,\"flatpickr-disabled\",e),h.__hideNextMonthArrow=e)}}),h.currentYearElement=h.yearElements[0],pe(),h.monthNav)),h.innerContainer=d(\"div\",\"flatpickr-innerContainer\"),h.config.weekNumbers){var t=function(){h.calendarContainer.classList.add(\"hasWeeks\");var e=d(\"div\",\"flatpickr-weekwrapper\");e.appendChild(d(\"span\",\"flatpickr-weekday\",h.l10n.weekAbbreviation));var t=d(\"div\",\"flatpickr-weeks\");return 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.flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: transparent;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: transparent;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: transparent;\\n  color: rgba(0, 0, 0, 0.54);\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #e6e6e6;\\n  box-shadow: -1px 0 0 #e6e6e6;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #393939;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e6e6e6;\\n  border-color: #e6e6e6;\\n}\\n.flatpickr-day.today {\\n  border-color: #959ea9;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #959ea9;\\n  background: #959ea9;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #569ff7;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #569ff7;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #569ff7;\\n  box-shadow: -10px 0 0 #569ff7;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(57, 57, 57, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n  box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  -webkit-box-shadow: 1px 0 0 #e6e6e6;\\n  box-shadow: 1px 0 0 #e6e6e6;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #393939;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #393939;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #393939;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #393939;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eee;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n.flatpickr-calendar {\\n  background: transparent;\\n  opacity: 0;\\n  display: none;\\n  text-align: center;\\n  visibility: hidden;\\n  padding: 0;\\n  -webkit-animation: none;\\n  animation: none;\\n  direction: ltr;\\n  border: 0;\\n  font-size: 14px;\\n  line-height: 24px;\\n  border-radius: 5px;\\n  position: absolute;\\n  width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -ms-touch-action: manipulation;\\n  touch-action: manipulation;\\n  -webkit-box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n  box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n}\\n.flatpickr-calendar.open,\\n.flatpickr-calendar.inline {\\n  opacity: 1;\\n  max-height: 640px;\\n  visibility: visible;\\n}\\n.flatpickr-calendar.open {\\n  display: inline-block;\\n  z-index: 99999;\\n}\\n.flatpickr-calendar.animate.open {\\n  -webkit-animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n  animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n}\\n.flatpickr-calendar.inline {\\n  display: block;\\n  position: relative;\\n  top: 2px;\\n}\\n.flatpickr-calendar.static {\\n  position: absolute;\\n  top: calc(100% + 2px);\\n}\\n.flatpickr-calendar.static.open {\\n  z-index: 999;\\n  display: block;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+1) .flatpickr-day.inRange:nth-child(7n+7) {\\n  -webkit-box-shadow: none !important;\\n  box-shadow: none !important;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+2) .flatpickr-day.inRange:nth-child(7n+1) {\\n  -webkit-box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer,\\n.flatpickr-calendar .hasTime .dayContainer {\\n  border-bottom: 0;\\n  border-bottom-right-radius: 0;\\n  border-bottom-left-radius: 0;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer {\\n  border-left: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  height: 40px;\\n  border-top: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-innerContainer {\\n  border-bottom: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  border: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.noCalendar.hasTime .flatpickr-time {\\n  height: auto;\\n}\\n.flatpickr-calendar:before,\\n.flatpickr-calendar:after {\\n  position: absolute;\\n  display: block;\\n  pointer-events: none;\\n  border: solid transparent;\\n  content: \\'\\';\\n  height: 0;\\n  width: 0;\\n  left: 22px;\\n}\\n.flatpickr-calendar.rightMost:before,\\n.flatpickr-calendar.rightMost:after {\\n  left: auto;\\n  right: 22px;\\n}\\n.flatpickr-calendar:before {\\n  border-width: 5px;\\n  margin: 0 -5px;\\n}\\n.flatpickr-calendar:after {\\n  border-width: 4px;\\n  margin: 0 -4px;\\n}\\n.flatpickr-calendar.arrowTop:before,\\n.flatpickr-calendar.arrowTop:after {\\n  bottom: 100%;\\n}\\n.flatpickr-calendar.arrowTop:before {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowTop:after {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:before,\\n.flatpickr-calendar.arrowBottom:after {\\n  top: 100%;\\n}\\n.flatpickr-calendar.arrowBottom:before {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:after {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar:focus {\\n  outline: 0;\\n}\\n.flatpickr-wrapper {\\n  position: relative;\\n  display: inline-block;\\n}\\n.flatpickr-months {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-months .flatpickr-month {\\n  border-radius: 5px 5px 0 0;\\n  background: #eceef1;\\n  color: #5a6171;\\n  fill: #5a6171;\\n  height: 34px;\\n  line-height: 1;\\n  text-align: center;\\n  position: relative;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  overflow: hidden;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\n.flatpickr-months .flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month {\\n  text-decoration: none;\\n  cursor: pointer;\\n  position: absolute;\\n  top: 0;\\n  height: 34px;\\n  padding: 10px;\\n  z-index: 3;\\n  color: #5a6171;\\n  fill: #5a6171;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-disabled,\\n.flatpickr-months .flatpickr-next-month.flatpickr-disabled {\\n  display: none;\\n}\\n.flatpickr-months .flatpickr-prev-month i,\\n.flatpickr-months .flatpickr-next-month i {\\n  position: relative;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-prev-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  left: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month.flatpickr-next-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-next-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  right: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month:hover,\\n.flatpickr-months .flatpickr-next-month:hover {\\n  color: #bbb;\\n}\\n.flatpickr-months .flatpickr-prev-month:hover svg,\\n.flatpickr-months .flatpickr-next-month:hover svg {\\n  fill: #f64747;\\n}\\n.flatpickr-months .flatpickr-prev-month svg,\\n.flatpickr-months .flatpickr-next-month svg {\\n  width: 14px;\\n  height: 14px;\\n}\\n.flatpickr-months .flatpickr-prev-month svg path,\\n.flatpickr-months .flatpickr-next-month svg path {\\n  -webkit-transition: fill 0.1s;\\n  transition: fill 0.1s;\\n  fill: inherit;\\n}\\n.numInputWrapper {\\n  position: relative;\\n  height: auto;\\n}\\n.numInputWrapper input,\\n.numInputWrapper span {\\n  display: inline-block;\\n}\\n.numInputWrapper input {\\n  width: 100%;\\n}\\n.numInputWrapper input::-ms-clear {\\n  display: none;\\n}\\n.numInputWrapper input::-webkit-outer-spin-button,\\n.numInputWrapper input::-webkit-inner-spin-button {\\n  margin: 0;\\n  -webkit-appearance: none;\\n}\\n.numInputWrapper span {\\n  position: absolute;\\n  right: 0;\\n  width: 14px;\\n  padding: 0 4px 0 2px;\\n  height: 50%;\\n  line-height: 50%;\\n  opacity: 0;\\n  cursor: pointer;\\n  border: 1px solid rgba(72, 72, 72, 0.15);\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.numInputWrapper span:hover {\\n  background: rgba(0, 0, 0, 0.1);\\n}\\n.numInputWrapper span:active {\\n  background: rgba(0, 0, 0, 0.2);\\n}\\n.numInputWrapper span:after {\\n  display: block;\\n  content: \"\";\\n  position: absolute;\\n}\\n.numInputWrapper span.arrowUp {\\n  top: 0;\\n  border-bottom: 0;\\n}\\n.numInputWrapper span.arrowUp:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-bottom: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 26%;\\n}\\n.numInputWrapper span.arrowDown {\\n  top: 50%;\\n}\\n.numInputWrapper span.arrowDown:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-top: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 40%;\\n}\\n.numInputWrapper span svg {\\n  width: inherit;\\n  height: auto;\\n}\\n.numInputWrapper span svg path {\\n  fill: rgba(90, 97, 113, 0.5);\\n}\\n.numInputWrapper:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.numInputWrapper:hover span {\\n  opacity: 1;\\n}\\n.flatpickr-current-month {\\n  font-size: 135%;\\n  line-height: inherit;\\n  font-weight: 300;\\n  color: inherit;\\n  position: absolute;\\n  width: 75%;\\n  left: 12.5%;\\n  padding: 7.48px 0 0 0;\\n  line-height: 1;\\n  height: 34px;\\n  display: inline-block;\\n  text-align: center;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n}\\n.flatpickr-current-month span.cur-month {\\n  font-family: inherit;\\n  font-weight: 700;\\n  color: inherit;\\n  display: inline-block;\\n  margin-left: 0.5ch;\\n  padding: 0;\\n}\\n.flatpickr-current-month span.cur-month:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .numInputWrapper {\\n  width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #5a6171;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: #5a6171;\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(90, 97, 113, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: #eceef1;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: #eceef1;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: #eceef1;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: #eceef1;\\n  color: #5a6171;\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n  border-left: 1px solid #eceef1;\\n  border-right: 1px solid #eceef1;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #eceef1;\\n  box-shadow: -1px 0 0 #eceef1;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #484848;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e2e2e2;\\n  border-color: #e2e2e2;\\n}\\n.flatpickr-day.today {\\n  border-color: #bbb;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #bbb;\\n  background: #bbb;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #ff5a5f;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #ff5a5f;\\n  box-shadow: -10px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n  box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(72, 72, 72, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n  box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  border-left: 1px solid #eceef1;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  background: #fff;\\n  border-bottom: 1px solid #eceef1;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  background: #fff;\\n  border-radius: 0 0 5px 5px;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #484848;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #484848;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #484848;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #484848;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eaeaea;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\nspan.flatpickr-day.selected {\\n  font-weight: bold;\\n}\\n'},\n      410: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(1).__importDefault(e(159)),r=e(411);class n extends r.AbstractRangeSliderView{}a.DateRangeSliderView=n,n.__name__=\"DateRangeSliderView\";class d extends r.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_DateRangeSlider(){this.prototype.default_view=n,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return i.default(e,t)}}a.DateRangeSlider=d,d.__name__=\"DateRangeSlider\",d.init_DateRangeSlider()},\n      411: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=i.__importStar(e(412)),r=i.__importStar(e(18)),o=e(68),n=e(9),a=e(393),d=e(413),h=e(400),_=i.__importDefault(e(414)),c=i.__importDefault(e(415));class u extends a.ControlView{*controls(){yield this.slider_el}get noUiSlider(){return this.slider_el.noUiSlider}connect_signals(){super.connect_signals();const{direction:e,orientation:t,tooltips:s}=this.model.properties;this.on_change([e,t,s],()=>this.render());const{start:i,end:l,value:r,step:o,title:n}=this.model.properties;this.on_change([i,l,r,o],()=>{const{start:e,end:t,value:s,step:i}=this._calc_to();this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i})});const{bar_color:a}=this.model.properties;this.on_change(a,()=>{this._set_bar_color()});const{show_value:d}=this.model.properties;this.on_change([r,n,d],()=>this._update_title())}styles(){return[...super.styles(),_.default,c.default]}_update_title(){o.empty(this.title_el);const e=null==this.model.title||0==this.model.title.length&&!this.model.show_value;if(this.title_el.style.display=e?\"none\":\"\",!e&&(0!=this.model.title.length&&(this.title_el.textContent=this.model.title+\": \"),this.model.show_value)){const{value:e}=this._calc_to(),t=e.map(e=>this.model.pretty(e)).join(\" .. \");this.title_el.appendChild(o.span({class:d.bk_slider_value},t))}}_set_bar_color(){if(!this.model.disabled){this.slider_el.querySelector(\".noUi-connect\").style.backgroundColor=this.model.bar_color}}_keypress_handle(e,t=0){const{start:s,value:i,end:l,step:r}=this._calc_to(),o=2==i.length;let n=s,a=l;switch(o&&0==t?a=i[1]:o&&1==t&&(n=i[0]),e.which){case 37:i[t]=Math.max(i[t]-r,n);break;case 39:i[t]=Math.min(i[t]+r,a);break;default:return}this.model.value=o?i:i[0],this.model.properties.value.change.emit(),this.model.value_throttled=this.model.value,this.noUiSlider.set(i)}render(){super.render();const{start:e,end:t,value:s,step:i}=this._calc_to();let r;if(this.model.tooltips){const e={to:e=>this.model.pretty(e)};r=n.repeat(e,s.length)}else r=!1;if(null==this.slider_el){this.slider_el=o.div(),l.create(this.slider_el,{range:{min:e,max:t},start:s,step:i,behaviour:this.model.behaviour,connect:this.model.connected,tooltips:r,orientation:this.model.orientation,direction:this.model.direction}),this.noUiSlider.on(\"slide\",(e,t,s)=>this._slide(s)),this.noUiSlider.on(\"change\",(e,t,s)=>this._change(s)),this._set_keypress_handles();const n=(e,t)=>{if(!r)return;this.slider_el.querySelectorAll(\".noUi-handle\")[e].querySelector(\".noUi-tooltip\").style.display=t?\"block\":\"\"};this.noUiSlider.on(\"start\",(e,t)=>n(t,!0)),this.noUiSlider.on(\"end\",(e,t)=>n(t,!1))}else this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i});this._set_bar_color(),this.model.disabled?this.slider_el.setAttribute(\"disabled\",\"true\"):this.slider_el.removeAttribute(\"disabled\"),this.title_el=o.div({class:d.bk_slider_title}),this._update_title(),this.group_el=o.div({class:h.bk_input_group},this.title_el,this.slider_el),this.el.appendChild(this.group_el)}_slide(e){this.model.value=this._calc_from(e)}_change(e){this.model.value=this._calc_from(e),this.model.value_throttled=this.model.value}}u.__name__=\"AbstractBaseSliderView\";class m extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:[this.model.value],step:this.model.step}}_calc_from([e]){return Number.isInteger(this.model.start)&&Number.isInteger(this.model.end)&&Number.isInteger(this.model.step)?Math.round(e):e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e))}}s.AbstractSliderView=m,m.__name__=\"AbstractSliderView\";class p extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:this.model.value,step:this.model.step}}_calc_from(e){return e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle-lower\"),t=this.slider_el.querySelector(\".noUi-handle-upper\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e,0)),t.setAttribute(\"tabindex\",\"1\"),t.addEventListener(\"keydown\",e=>this._keypress_handle(e,1))}}s.AbstractRangeSliderView=p,p.__name__=\"AbstractRangeSliderView\";class b extends a.Control{constructor(e){super(e),this.connected=!1}static init_AbstractSlider(){this.define({title:[r.String,\"\"],show_value:[r.Boolean,!0],start:[r.Any],end:[r.Any],value:[r.Any],value_throttled:[r.Any],step:[r.Number,1],format:[r.Any],direction:[r.Any,\"ltr\"],tooltips:[r.Boolean,!0],bar_color:[r.Color,\"#e6e6e6\"]})}_formatter(e,t){return\"\"+e}pretty(e){return this._formatter(e,this.format)}}s.AbstractSlider=b,b.__name__=\"AbstractSlider\",b.init_AbstractSlider()},\n      412: function _(t,e,r){\n      /*! nouislider - 14.5.0 - 5/11/2020 */\n      var n;n=function(){\"use strict\";var t=\"14.5.0\";function e(t){t.parentElement.removeChild(t)}function r(t){return null!=t}function n(t){t.preventDefault()}function i(t){return\"number\"==typeof t&&!isNaN(t)&&isFinite(t)}function o(t,e,r){r>0&&(u(t,e),setTimeout((function(){c(t,e)}),r))}function s(t){return Math.max(Math.min(t,100),0)}function a(t){return Array.isArray(t)?t:[t]}function l(t){var e=(t=String(t)).split(\".\");return e.length>1?e[1].length:0}function u(t,e){t.classList&&!/\\s/.test(e)?t.classList.add(e):t.className+=\" \"+e}function c(t,e){t.classList&&!/\\s/.test(e)?t.classList.remove(e):t.className=t.className.replace(new RegExp(\"(^|\\\\b)\"+e.split(\" \").join(\"|\")+\"(\\\\b|$)\",\"gi\"),\" \")}function p(t){var e=void 0!==window.pageXOffset,r=\"CSS1Compat\"===(t.compatMode||\"\");return{x:e?window.pageXOffset:r?t.documentElement.scrollLeft:t.body.scrollLeft,y:e?window.pageYOffset:r?t.documentElement.scrollTop:t.body.scrollTop}}function f(t,e){return 100/(e-t)}function d(t,e,r){return 100*e/(t[r+1]-t[r])}function h(t,e){for(var r=1;t>=e[r];)r+=1;return r}function m(t,e,r){if(r>=t.slice(-1)[0])return 100;var n=h(r,t),i=t[n-1],o=t[n],s=e[n-1],a=e[n];return s+function(t,e){return d(t,t[0]<0?e+Math.abs(t[0]):e-t[0],0)}([i,o],r)/f(s,a)}function g(t,e,r,n){if(100===n)return n;var i=h(n,t),o=t[i-1],s=t[i];return r?n-o>(s-o)/2?s:o:e[i-1]?t[i-1]+function(t,e){return Math.round(t/e)*e}(n-t[i-1],e[i-1]):n}function v(t,e,r){var n;if(\"number\"==typeof e&&(e=[e]),!Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'range' contains invalid value.\");if(!i(n=\"min\"===t?0:\"max\"===t?100:parseFloat(t))||!i(e[0]))throw new Error(\"noUiSlider (14.5.0): 'range' value isn't numeric.\");r.xPct.push(n),r.xVal.push(e[0]),n?r.xSteps.push(!isNaN(e[1])&&e[1]):isNaN(e[1])||(r.xSteps[0]=e[1]),r.xHighestCompleteStep.push(0)}function x(t,e,r){if(e)if(r.xVal[t]!==r.xVal[t+1]){r.xSteps[t]=d([r.xVal[t],r.xVal[t+1]],e,0)/f(r.xPct[t],r.xPct[t+1]);var n=(r.xVal[t+1]-r.xVal[t])/r.xNumSteps[t],i=Math.ceil(Number(n.toFixed(3))-1),o=r.xVal[t]+r.xNumSteps[t]*i;r.xHighestCompleteStep[t]=o}else r.xSteps[t]=r.xHighestCompleteStep[t]=r.xVal[t]}function b(t,e,r){var n;this.xPct=[],this.xVal=[],this.xSteps=[r||!1],this.xNumSteps=[!1],this.xHighestCompleteStep=[],this.snap=e;var i=[];for(n in t)t.hasOwnProperty(n)&&i.push([t[n],n]);for(i.length&&\"object\"==typeof i[0][0]?i.sort((function(t,e){return t[0][0]-e[0][0]})):i.sort((function(t,e){return t[0]-e[0]})),n=0;n<i.length;n++)v(i[n][1],i[n][0],this);for(this.xNumSteps=this.xSteps.slice(0),n=0;n<this.xNumSteps.length;n++)x(n,this.xNumSteps[n],this)}b.prototype.getDistance=function(t){var e,r=[];for(e=0;e<this.xNumSteps.length-1;e++){var n=this.xNumSteps[e];if(n&&t/n%1!=0)throw new Error(\"noUiSlider (14.5.0): 'limit', 'margin' and 'padding' of \"+this.xPct[e]+\"% range must be divisible by step.\");r[e]=d(this.xVal,t,e)}return r},b.prototype.getAbsoluteDistance=function(t,e,r){var n,i=0;if(t<this.xPct[this.xPct.length-1])for(;t>this.xPct[i+1];)i++;else t===this.xPct[this.xPct.length-1]&&(i=this.xPct.length-2);r||t!==this.xPct[i+1]||i++;var 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e=h(t,this.xPct);return{stepBefore:{startValue:this.xVal[e-2],step:this.xNumSteps[e-2],highestStep:this.xHighestCompleteStep[e-2]},thisStep:{startValue:this.xVal[e-1],step:this.xNumSteps[e-1],highestStep:this.xHighestCompleteStep[e-1]},stepAfter:{startValue:this.xVal[e],step:this.xNumSteps[e],highestStep:this.xHighestCompleteStep[e]}}},b.prototype.countStepDecimals=function(){var t=this.xNumSteps.map(l);return Math.max.apply(null,t)},b.prototype.convert=function(t){return this.getStep(this.toStepping(t))};var S={to:function(t){return void 0!==t&&t.toFixed(2)},from:Number},w={target:\"target\",base:\"base\",origin:\"origin\",handle:\"handle\",handleLower:\"handle-lower\",handleUpper:\"handle-upper\",touchArea:\"touch-area\",horizontal:\"horizontal\",vertical:\"vertical\",background:\"background\",connect:\"connect\",connects:\"connects\",ltr:\"ltr\",rtl:\"rtl\",textDirectionLtr:\"txt-dir-ltr\",textDirectionRtl:\"txt-dir-rtl\",draggable:\"draggable\",drag:\"state-drag\",tap:\"state-tap\",active:\"active\",tooltip:\"tooltip\",pips:\"pips\",pipsHorizontal:\"pips-horizontal\",pipsVertical:\"pips-vertical\",marker:\"marker\",markerHorizontal:\"marker-horizontal\",markerVertical:\"marker-vertical\",markerNormal:\"marker-normal\",markerLarge:\"marker-large\",markerSub:\"marker-sub\",value:\"value\",valueHorizontal:\"value-horizontal\",valueVertical:\"value-vertical\",valueNormal:\"value-normal\",valueLarge:\"value-large\",valueSub:\"value-sub\"};function y(t){if(function(t){return\"object\"==typeof t&&\"function\"==typeof t.to&&\"function\"==typeof t.from}(t))return!0;throw new Error(\"noUiSlider (14.5.0): 'format' requires 'to' and 'from' methods.\")}function E(t,e){if(!i(e))throw new Error(\"noUiSlider (14.5.0): 'step' is not numeric.\");t.singleStep=e}function C(t,e){if(\"object\"!=typeof e||Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'range' is not an object.\");if(void 0===e.min||void 0===e.max)throw new Error(\"noUiSlider (14.5.0): Missing 'min' or 'max' in 'range'.\");if(e.min===e.max)throw new Error(\"noUiSlider (14.5.0): 'range' 'min' and 'max' cannot be equal.\");t.spectrum=new b(e,t.snap,t.singleStep)}function N(t,e){if(e=a(e),!Array.isArray(e)||!e.length)throw new Error(\"noUiSlider (14.5.0): 'start' option is incorrect.\");t.handles=e.length,t.start=e}function P(t,e){if(t.snap=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'snap' option must be a boolean.\")}function U(t,e){if(t.animate=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'animate' 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t.to))throw new Error(\"noUiSlider (14.5.0): 'tooltips' must be passed a formatter or 'false'.\")}))}}function j(t,e){t.ariaFormat=e,y(e)}function F(t,e){t.format=e,y(e)}function R(t,e){if(t.keyboardSupport=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'keyboardSupport' option must be a boolean.\")}function T(t,e){t.documentElement=e}function B(t,e){if(\"string\"!=typeof e&&!1!==e)throw new Error(\"noUiSlider (14.5.0): 'cssPrefix' must be a string or `false`.\");t.cssPrefix=e}function q(t,e){if(\"object\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'cssClasses' must be an object.\");if(\"string\"==typeof t.cssPrefix)for(var r in t.cssClasses={},e)e.hasOwnProperty(r)&&(t.cssClasses[r]=t.cssPrefix+e[r]);else t.cssClasses=e}function X(t){var e={margin:0,limit:0,padding:0,animate:!0,animationDuration:300,ariaFormat:S,format:S},n={step:{r:!1,t:E},start:{r:!0,t:N},connect:{r:!0,t:V},direction:{r:!0,t:L},snap:{r:!1,t:P},animate:{r:!1,t:U},animationDuration:{r:!1,t:A},range:{r:!0,t:C},orientation:{r:!1,t:k},margin:{r:!1,t:D},limit:{r:!1,t:M},padding:{r:!1,t:O},behaviour:{r:!0,t:z},ariaFormat:{r:!1,t:j},format:{r:!1,t:F},tooltips:{r:!1,t:H},keyboardSupport:{r:!0,t:R},documentElement:{r:!1,t:T},cssPrefix:{r:!0,t:B},cssClasses:{r:!0,t:q}},i={connect:!1,direction:\"ltr\",behaviour:\"tap\",orientation:\"horizontal\",keyboardSupport:!0,cssPrefix:\"noUi-\",cssClasses:w};t.format&&!t.ariaFormat&&(t.ariaFormat=t.format),Object.keys(n).forEach((function(o){if(!r(t[o])&&void 0===i[o]){if(n[o].r)throw new Error(\"noUiSlider (14.5.0): '\"+o+\"' is required.\");return!0}n[o].t(e,r(t[o])?t[o]:i[o])})),e.pips=t.pips;var o=document.createElement(\"div\"),s=void 0!==o.style.msTransform,a=void 0!==o.style.transform;return e.transformRule=a?\"transform\":s?\"msTransform\":\"webkitTransform\",e.style=[[\"left\",\"top\"],[\"right\",\"bottom\"]][e.dir][e.ort],e}function _(t,r,i){var l,f,d,h,m,g,v,x,b=window.navigator.pointerEnabled?{start:\"pointerdown\",move:\"pointermove\",end:\"pointerup\"}:window.navigator.msPointerEnabled?{start:\"MSPointerDown\",move:\"MSPointerMove\",end:\"MSPointerUp\"}:{start:\"mousedown touchstart\",move:\"mousemove touchmove\",end:\"mouseup touchend\"},S=window.CSS&&CSS.supports&&CSS.supports(\"touch-action\",\"none\")&&function(){var t=!1;try{var e=Object.defineProperty({},\"passive\",{get:function(){t=!0}});window.addEventListener(\"test\",null,e)}catch(t){}return t}(),w=t,y=r.spectrum,E=[],C=[],N=[],P=0,U={},A=t.ownerDocument,V=r.documentElement||A.documentElement,k=A.body,D=\"rtl\"===A.dir||1===r.ort?0:100;function M(t,e){var r=A.createElement(\"div\");return e&&u(r,e),t.appendChild(r),r}function O(t,e){var n=M(t,r.cssClasses.origin),i=M(n,r.cssClasses.handle);return 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.noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(50%, 0);\\n  transform: translate(50%, 0);\\n  left: auto;\\n  bottom: 10px;\\n}\\n.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(0, -18px);\\n  transform: translate(0, -18px);\\n  top: auto;\\n  right: 28px;\\n}\\n.bk-root .noUi-handle {\\n  cursor: grab;\\n  cursor: -webkit-grab;\\n}\\n.bk-root .noUi-handle.noUi-active {\\n  cursor: grabbing;\\n  cursor: -webkit-grabbing;\\n}\\n.bk-root .noUi-handle:after,\\n.bk-root .noUi-handle:before {\\n  display: none;\\n}\\n.bk-root .noUi-tooltip {\\n  display: none;\\n  white-space: nowrap;\\n}\\n.bk-root .noUi-handle:hover .noUi-tooltip {\\n  display: block;\\n}\\n.bk-root .noUi-horizontal {\\n  width: 100%;\\n  height: 10px;\\n}\\n.bk-root .noUi-vertical {\\n  width: 10px;\\n  height: 100%;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n  width: 14px;\\n  height: 18px;\\n  right: -7px;\\n  top: -5px;\\n}\\n.bk-root .noUi-vertical 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n=e(1),s=e(392),o=e(291),_=e(68),d=n.__importStar(e(18)),l=e(8),r=e(146),u=e(254),c=e(255),h=n.__importDefault(e(257));class p extends s.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=_.div({class:[c.bk_caret,r.bk_down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(u.bk_dropdown_toggle),t.addEventListener(\"click\",()=>this._toggle_menu()),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map((e,t)=>{if(null==e)return _.div({class:c.bk_divider});{const i=l.isString(e)?e:e[0],n=_.div({},i);return n.addEventListener(\"click\",()=>this._item_click(t)),n}});this.menu=_.div({class:[c.bk_menu,r.bk_below]},t),this.el.appendChild(this.menu),_.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,_.display(this.menu);const e=t=>{const{target:i}=t;i instanceof 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t.clear=function(){this.element.innerHTML=\"\"},t.append=function(e){this.element.appendChild(e)},t.getChild=function(e){return this.element.querySelector(e)},t.hasChildren=function(){return this.element.hasChildNodes()},t.scrollToTop=function(){this.element.scrollTop=0},t.scrollToChildElement=function(e,t){var i=this;if(e){var n=this.element.offsetHeight,s=this.element.scrollTop+n,r=e.offsetHeight,o=e.offsetTop+r,a=t>0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),n<e&&(s=!0)):(this._scrollUp(n,4,e),n>e&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function le(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var he=function(){function e(e){var t=e.element,i=e.classNames;if(this.element=t,this.classNames=i,!(t instanceof HTMLInputElement||t instanceof HTMLSelectElement))throw new TypeError(\"Invalid element passed\");this.isDisabled=!1}var t,i,n,s=e.prototype;return s.conceal=function(){this.element.classList.add(this.classNames.input),this.element.hidden=!0,this.element.tabIndex=-1;var e=this.element.getAttribute(\"style\");e&&this.element.setAttribute(\"data-choice-orig-style\",e),this.element.setAttribute(\"data-choice\",\"active\")},s.reveal=function(){this.element.classList.remove(this.classNames.input),this.element.hidden=!1,this.element.removeAttribute(\"tabindex\");var e=this.element.getAttribute(\"data-choice-orig-style\");e?(this.element.removeAttribute(\"data-choice-orig-style\"),this.element.setAttribute(\"style\",e)):this.element.removeAttribute(\"style\"),this.element.removeAttribute(\"data-choice\"),this.element.value=this.element.value},s.enable=function(){this.element.removeAttribute(\"disabled\"),this.element.disabled=!1,this.isDisabled=!1},s.disable=function(){this.element.setAttribute(\"disabled\",\"\"),this.element.disabled=!0,this.isDisabled=!0},s.triggerEvent=function(e,t){!function(e,t,i){void 0===i&&(i=null);var n=new CustomEvent(t,{detail:i,bubbles:!0,cancelable:!0});e.dispatchEvent(n)}(this.element,e,t)},t=e,(i=[{key:\"isActive\",get:function(){return\"active\"===this.element.dataset.choice}},{key:\"dir\",get:function(){return this.element.dir}},{key:\"value\",get:function(){return this.element.value},set:function(e){this.element.value=e}}])&&le(t.prototype,i),n&&le(t,n),e}();function ue(e,t){for(var i=0;i<t.length;i++){var 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i=e.group,n=e.groupHeading,s=e.itemDisabled,r=t.id,o=t.value,a=t.disabled,c=Object.assign(document.createElement(\"div\"),{className:i+\" \"+(a?s:\"\")});return c.setAttribute(\"role\",\"group\"),Object.assign(c.dataset,{group:\"\",id:r,value:o}),a&&c.setAttribute(\"aria-disabled\",\"true\"),c.appendChild(Object.assign(document.createElement(\"div\"),{className:n,innerHTML:o})),c},choice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.itemSelectable,o=e.selectedState,a=e.itemDisabled,c=e.placeholder,l=t.id,h=t.value,u=t.label,d=t.groupId,p=t.elementId,m=t.disabled,f=t.selected,v=t.placeholder,g=Object.assign(document.createElement(\"div\"),{id:p,innerHTML:u,className:n+\" \"+s});return 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a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},ve=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ge=function(e,t){return{type:$,id:e,highlighted:t}},_e=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},be=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function ye(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var Ee=\"-ms-scroll-limit\"in document.documentElement.style&&\"-ms-ime-align\"in document.documentElement.style,Ie={},Se=function(){var e,t,i;function n(e,t){var i=this;void 0===e&&(e=\"[data-choice]\"),void 0===t&&(t={}),this.config=o.a.all([P,n.defaults.options,t],{arrayMerge:function(e,t){return[].concat(t)}});var s,r,a,c,l=(s=this.config,r=P,a=Object.keys(s).sort(),c=Object.keys(r).sort(),a.filter((function(e){return c.indexOf(e)<0})));l.length&&console.warn(\"Unknown config option(s) passed\",l.join(\", \"));var h=\"string\"==typeof e?document.querySelector(e):e;if(!(h instanceof HTMLInputElement||h instanceof HTMLSelectElement))throw TypeError(\"Expected one of the following types text|select-one|select-multiple\");if(this._isTextElement=\"text\"===h.type,this._isSelectOneElement=\"select-one\"===h.type,this._isSelectMultipleElement=\"select-multiple\"===h.type,this._isSelectElement=this._isSelectOneElement||this._isSelectMultipleElement,this.config.searchEnabled=this._isSelectMultipleElement||this.config.searchEnabled,[\"auto\",\"always\"].includes(this.config.renderSelectedChoices)||(this.config.renderSelectedChoices=\"auto\"),t.addItemFilter&&\"function\"!=typeof t.addItemFilter){var u=t.addItemFilter instanceof RegExp?t.addItemFilter:new RegExp(t.addItemFilter);this.config.addItemFilter=u.test.bind(u)}if(this._isTextElement?this.passedElement=new de({element:h,classNames:this.config.classNames,delimiter:this.config.delimiter}):this.passedElement=new me({element:h,classNames:this.config.classNames,template:function(e){return i._templates.option(e)}}),this.initialised=!1,this._store=new T,this._initialState={},this._currentState={},this._prevState={},this._currentValue=\"\",this._canSearch=this.config.searchEnabled,this._isScrollingOnIe=!1,this._highlightPosition=0,this._wasTap=!0,this._placeholderValue=this._generatePlaceholderValue(),this._baseId=function(e,t){var i=e.id||e.name&&e.name+\"-\"+b(2)||b(4);return i=t+\"-\"+(i=i.replace(/(:|\\.|\\[|\\]|,)/g,\"\"))}(this.passedElement.element,\"choices-\"),this._direction=this.passedElement.dir,!this._direction){var d=window.getComputedStyle(this.passedElement.element).direction;d!==window.getComputedStyle(document.documentElement).direction&&(this._direction=d)}if(this._idNames={itemChoice:\"item-choice\"},this._presetGroups=this.passedElement.optionGroups,this._presetOptions=this.passedElement.options,this._presetChoices=this.config.choices,this._presetItems=this.config.items,this.passedElement.value&&(this._presetItems=this._presetItems.concat(this.passedElement.value.split(this.config.delimiter))),this.passedElement.options&&this.passedElement.options.forEach((function(e){i._presetChoices.push({value:e.value,label:e.innerHTML,selected:e.selected,disabled:e.disabled||e.parentNode.disabled,placeholder:\"\"===e.value||e.hasAttribute(\"placeholder\"),customProperties:e.getAttribute(\"data-custom-properties\")})})),this._render=this._render.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this),this._onKeyUp=this._onKeyUp.bind(this),this._onKeyDown=this._onKeyDown.bind(this),this._onClick=this._onClick.bind(this),this._onTouchMove=this._onTouchMove.bind(this),this._onTouchEnd=this._onTouchEnd.bind(this),this._onMouseDown=this._onMouseDown.bind(this),this._onMouseOver=this._onMouseOver.bind(this),this._onFormReset=this._onFormReset.bind(this),this._onAKey=this._onAKey.bind(this),this._onEnterKey=this._onEnterKey.bind(this),this._onEscapeKey=this._onEscapeKey.bind(this),this._onDirectionKey=this._onDirectionKey.bind(this),this._onDeleteKey=this._onDeleteKey.bind(this),this.passedElement.isActive)return this.config.silent||console.warn(\"Trying to initialise Choices on element already initialised\"),void(this.initialised=!0);this.init()}e=n,i=[{key:\"defaults\",get:function(){return Object.preventExtensions({get options(){return Ie},get templates(){return fe}})}}],(t=null)&&ye(e.prototype,t),i&&ye(e,i);var r=n.prototype;return r.init=function(){if(!this.initialised){this._createTemplates(),this._createElements(),this._createStructure(),this._initialState=O(this._store.state),this._store.subscribe(this._render),this._render(),this._addEventListeners(),(!this.config.addItems||this.passedElement.element.hasAttribute(\"disabled\"))&&this.disable(),this.initialised=!0;var e=this.config.callbackOnInit;e&&\"function\"==typeof e&&e.call(this)}},r.destroy=function(){this.initialised&&(this._removeEventListeners(),this.passedElement.reveal(),this.containerOuter.unwrap(this.passedElement.element),this.clearStore(),this._isSelectElement&&(this.passedElement.options=this._presetOptions),this._templates=null,this.initialised=!1)},r.enable=function(){return this.passedElement.isDisabled&&this.passedElement.enable(),this.containerOuter.isDisabled&&(this._addEventListeners(),this.input.enable(),this.containerOuter.enable()),this},r.disable=function(){return this.passedElement.isDisabled||this.passedElement.disable(),this.containerOuter.isDisabled||(this._removeEventListeners(),this.input.disable(),this.containerOuter.disable()),this},r.highlightItem=function(e,t){if(void 0===t&&(t=!0),!e)return this;var i=e.id,n=e.groupId,s=void 0===n?-1:n,r=e.value,o=void 0===r?\"\":r,a=e.label,c=void 0===a?\"\":a,l=s>=0?this._store.getGroupById(s):null;return this._store.dispatch(ge(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ge(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(ve(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v<m;v+=1)f[v]&&l(f[v]);return t},r._createItemsFragment=function(e,t){var i=this;void 0===t&&(t=document.createDocumentFragment());var n=this.config,s=n.shouldSortItems,r=n.sorter,o=n.removeItemButton;return s&&!this._isSelectOneElement&&e.sort(r),this._isTextElement?this.passedElement.value=e:this.passedElement.options=e,e.forEach((function(e){var n=i._getTemplate(\"item\",e,o);t.appendChild(n)})),t},r._triggerChange=function(e){null!=e&&this.passedElement.triggerEvent(N,{value:e})},r._selectPlaceholderChoice=function(){var e=this._store.placeholderChoice;e&&(this._addItem({value:e.value,label:e.label,choiceId:e.id,groupId:e.groupId,placeholder:e.placeholder}),this._triggerChange(e.value))},r._handleButtonAction=function(e,t){if(e&&t&&this.config.removeItems&&this.config.removeItemButton){var i=t.parentNode.getAttribute(\"data-id\"),n=e.find((function(e){return e.id===parseInt(i,10)}));this._removeItem(n),this._triggerChange(n.value),this._isSelectOneElement&&this._selectPlaceholderChoice()}},r._handleItemAction=function(e,t,i){var n=this;if(void 0===i&&(i=!1),e&&t&&this.config.removeItems&&!this._isSelectOneElement){var s=t.getAttribute(\"data-id\");e.forEach((function(e){e.id!==parseInt(s,10)||e.highlighted?!i&&e.highlighted&&n.unhighlightItem(e):n.highlightItem(e)})),this.input.focus()}},r._handleChoiceAction=function(e,t){if(e&&t){var i=t.dataset.id,n=this._store.getChoiceById(i);if(n){var s=e[0]&&e[0].keyCode?e[0].keyCode:null,r=this.dropdown.isActive;n.keyCode=s,this.passedElement.triggerEvent(F,{choice:n}),n.selected||n.disabled||this._canAddItem(e,n.value).response&&(this._addItem({value:n.value,label:n.label,choiceId:n.id,groupId:n.groupId,customProperties:n.customProperties,placeholder:n.placeholder,keyCode:n.keyCode}),this._triggerChange(n.value)),this.clearInput(),r&&this._isSelectOneElement&&(this.hideDropdown(!0),this.containerOuter.focus())}}},r._handleBackspace=function(e){if(this.config.removeItems&&e){var t=e[e.length-1],i=e.some((function(e){return e.highlighted}));this.config.editItems&&!i&&t?(this.input.value=t.value,this.input.setWidth(),this._removeItem(t),this._triggerChange(t.value)):(i||this.highlightItem(t,!1),this.removeHighlightedItems(!0))}},r._startLoading=function(){this._store.dispatch(be(!0))},r._stopLoading=function(){this._store.dispatch(be(!1))},r._handleLoadingState=function(e){void 0===e&&(e=!0);var t=this.itemList.getChild(\".\"+this.config.classNames.placeholder);e?(this.disable(),this.containerOuter.addLoadingState(),this._isSelectOneElement?t?t.innerHTML=this.config.loadingText:(t=this._getTemplate(\"placeholder\",this.config.loadingText),this.itemList.append(t)):this.input.placeholder=this.config.loadingText):(this.enable(),this.containerOuter.removeLoadingState(),this._isSelectOneElement?t.innerHTML=this._placeholderValue||\"\":this.input.placeholder=this._placeholderValue||\"\")},r._handleSearch=function(e){if(e&&this.input.isFocussed){var t=this._store.choices,i=this.config,n=i.searchFloor,s=i.searchChoices,r=t.some((function(e){return!e.active}));if(e&&e.length>=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(ve(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(ve(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1;if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(\"[data-choice-selectable]\");else{var p=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=p?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(p,\"[data-choice-selectable]\",d):this.dropdown.element.querySelector(\"[data-choice-selectable]\")}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(Ee&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX<i.offsetLeft;this._isScrollingOnIe=n}if(t!==this.input.element){var s=t.closest(\"[data-button],[data-item],[data-choice]\");if(s instanceof HTMLElement){var r=e.shiftKey,o=this._store.activeItems,a=s.dataset;\"button\"in a?this._handleButtonAction(o,s):\"item\"in a?this._handleItemAction(o,s,r):\"choice\"in a&&this._handleChoiceAction(o,s)}e.preventDefault()}}},r._onMouseOver=function(e){var t=e.target;t instanceof HTMLElement&&\"choice\"in t.dataset&&this._highlightChoice(t)},r._onClick=function(e){var t=e.target;this.containerOuter.element.contains(t)?this.dropdown.isActive||this.containerOuter.isDisabled?this._isSelectOneElement&&t!==this.input.element&&!this.dropdown.element.contains(t)&&this.hideDropdown():this._isTextElement?document.activeElement!==this.input.element&&this.input.focus():(this.showDropdown(),this.containerOuter.focus()):(this._store.highlightedActiveItems.length>0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(_e({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(_e({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r<n;r++)s[r-1]=arguments[r];return(t=this._templates[e]).call.apply(t,[this,i].concat(s))},r._createTemplates=function(){var e=this.config.callbackOnCreateTemplates,t={};e&&\"function\"==typeof e&&(t=e.call(this,S)),this._templates=o()(fe,t)},r._createElements=function(){this.containerOuter=new re({element:this._getTemplate(\"containerOuter\",this._direction,this._isSelectElement,this._isSelectOneElement,this.config.searchEnabled,this.passedElement.element.type),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.containerInner=new re({element:this._getTemplate(\"containerInner\"),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.input=new ae({element:this._getTemplate(\"input\",this._placeholderValue),classNames:this.config.classNames,type:this.passedElement.element.type,preventPaste:!this.config.paste}),this.choiceList=new ce({element:this._getTemplate(\"choiceList\",this._isSelectOneElement)}),this.itemList=new ce({element:this._getTemplate(\"itemList\",this._isSelectOneElement)}),this.dropdown=new k({element:this._getTemplate(\"dropdown\"),classNames:this.config.classNames,type:this.passedElement.element.type})},r._createStructure=function(){this.passedElement.conceal(),this.containerInner.wrap(this.passedElement.element),this.containerOuter.wrap(this.containerInner.element),this._isSelectOneElement?this.input.placeholder=this.config.searchPlaceholderValue||\"\":this._placeholderValue&&(this.input.placeholder=this._placeholderValue,this.input.setWidth()),this.containerOuter.element.appendChild(this.containerInner.element),this.containerOuter.element.appendChild(this.dropdown.element),this.containerInner.element.appendChild(this.itemList.element),this._isTextElement||this.dropdown.element.appendChild(this.choiceList.element),this._isSelectOneElement?this.config.searchEnabled&&this.dropdown.element.insertBefore(this.input.element,this.dropdown.element.firstChild):this.containerInner.element.appendChild(this.input.element),this._isSelectElement&&(this._highlightPosition=0,this._isSearching=!1,this._startLoading(),this._presetGroups.length?this._addPredefinedGroups(this._presetGroups):this._addPredefinedChoices(this._presetChoices),this._stopLoading()),this._isTextElement&&this._addPredefinedItems(this._presetItems)},r._addPredefinedGroups=function(e){var t=this,i=this.passedElement.placeholderOption;i&&\"SELECT\"===i.parentNode.tagName&&this._addChoice({value:i.value,label:i.innerHTML,isSelected:i.selected,isDisabled:i.disabled,placeholder:!0}),e.forEach((function(e){return t._addGroup({group:e,id:e.id||null})}))},r._addPredefinedChoices=function(e){var t=this;this.config.shouldSort&&e.sort(this.config.sorter);var i=e.some((function(e){return e.selected})),n=e.findIndex((function(e){return void 0===e.disabled||!e.disabled}));e.forEach((function(e,s){var r=e.value,o=e.label,a=e.customProperties,c=e.placeholder;if(t._isSelectElement)if(e.choices)t._addGroup({group:e,id:e.id||null});else{var l=!(!t._isSelectOneElement||i||s!==n)||e.selected,h=e.disabled;t._addChoice({value:r,label:o,isSelected:l,isDisabled:h,customProperties:a,placeholder:c})}else t._addChoice({value:r,label:o,isSelected:e.selected,isDisabled:e.disabled,customProperties:a,placeholder:c})}))},r._addPredefinedItems=function(e){var t=this;e.forEach((function(e){\"object\"==typeof e&&e.value&&t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}),\"string\"==typeof e&&t._addItem({value:e})}))},r._setChoiceOrItem=function(e){var t=this;({object:function(){e.value&&(t._isTextElement?t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}):t._addChoice({value:e.value,label:e.label,isSelected:!0,isDisabled:!1,customProperties:e.customProperties,placeholder:e.placeholder}))},string:function(){t._isTextElement?t._addItem({value:e}):t._addChoice({value:e,label:e,isSelected:!0,isDisabled:!1})}})[y(e).toLowerCase()]()},r._findAndSelectChoiceByValue=function(e){var t=this,i=this._store.choices.find((function(i){return t.config.valueComparer(i.value,e)}));i&&!i.selected&&this._addItem({value:i.value,label:i.label,choiceId:i.id,groupId:i.groupId,customProperties:i.customProperties,placeholder:i.placeholder,keyCode:i.keyCode})},r._generatePlaceholderValue=function(){if(this._isSelectElement){var e=this.passedElement.placeholderOption;return!!e&&e.text}var t=this.config,i=t.placeholder,n=t.placeholderValue,s=this.passedElement.element.dataset;if(i){if(n)return n;if(s.placeholder)return s.placeholder}return!1},n}();t.default=Se}]).default},\"object\"==typeof i&&\"object\"==typeof t?t.exports=s():\"function\"==typeof define&&define.amd?define([],s):\"object\"==typeof i?i.Choices=s():n.Choices=s()},\n      428: function _(n,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});e.default=\"\\n.bk-root {\\n  /*===============================\\n=            Choices            =\\n===============================*/\\n  /*=====  End of Choices  ======*/\\n}\\n.bk-root .choices {\\n  position: relative;\\n  margin-bottom: 24px;\\n  font-size: 16px;\\n}\\n.bk-root .choices:focus {\\n  outline: none;\\n}\\n.bk-root .choices:last-child {\\n  margin-bottom: 0;\\n}\\n.bk-root .choices.is-disabled .choices__inner,\\n.bk-root .choices.is-disabled .choices__input {\\n  background-color: #eaeaea;\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n}\\n.bk-root .choices.is-disabled .choices__item {\\n  cursor: not-allowed;\\n}\\n.bk-root .choices [hidden] {\\n  display: none !important;\\n}\\n.bk-root .choices[data-type*='select-one'] {\\n  cursor: pointer;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__inner {\\n  padding-bottom: 7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__input {\\n  display: block;\\n  width: 100%;\\n  padding: 10px;\\n  border-bottom: 1px solid #dddddd;\\n  background-color: #ffffff;\\n  margin: 0;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDAwIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  padding: 0;\\n  background-size: 8px;\\n  position: absolute;\\n  top: 50%;\\n  right: 0;\\n  margin-top: -10px;\\n  margin-right: 25px;\\n  height: 20px;\\n  width: 20px;\\n  border-radius: 10em;\\n  opacity: 0.5;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  box-shadow: 0px 0px 0px 2px #00bcd4;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__item[data-value=''] .choices__button {\\n  display: none;\\n}\\n.bk-root .choices[data-type*='select-one']:after {\\n  content: '';\\n  height: 0;\\n  width: 0;\\n  border-style: solid;\\n  border-color: #333333 transparent transparent transparent;\\n  border-width: 5px;\\n  position: absolute;\\n  right: 11.5px;\\n  top: 50%;\\n  margin-top: -2.5px;\\n  pointer-events: none;\\n}\\n.bk-root .choices[data-type*='select-one'].is-open:after {\\n  border-color: transparent transparent #333333 transparent;\\n  margin-top: -7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl']:after {\\n  left: 11.5px;\\n  right: auto;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl'] .choices__button {\\n  right: auto;\\n  left: 0;\\n  margin-left: 25px;\\n  margin-right: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__inner,\\n.bk-root .choices[data-type*='text'] .choices__inner {\\n  cursor: text;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button,\\n.bk-root .choices[data-type*='text'] .choices__button {\\n  position: relative;\\n  display: inline-block;\\n  margin-top: 0;\\n  margin-right: -4px;\\n  margin-bottom: 0;\\n  margin-left: 8px;\\n  padding-left: 16px;\\n  border-left: 1px solid #008fa1;\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjRkZGIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  background-size: 8px;\\n  width: 8px;\\n  line-height: 1;\\n  opacity: 0.75;\\n  border-radius: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:focus,\\n.bk-root .choices[data-type*='text'] .choices__button:hover,\\n.bk-root .choices[data-type*='text'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices__inner {\\n  display: inline-block;\\n  vertical-align: top;\\n  width: 100%;\\n  background-color: #f9f9f9;\\n  padding: 7.5px 7.5px 3.75px;\\n  border: 1px solid #dddddd;\\n  border-radius: 2.5px;\\n  font-size: 14px;\\n  min-height: 44px;\\n  overflow: hidden;\\n}\\n.bk-root .is-focused .choices__inner,\\n.bk-root .is-open .choices__inner {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-open .choices__inner {\\n  border-radius: 2.5px 2.5px 0 0;\\n}\\n.bk-root .is-flipped.is-open .choices__inner {\\n  border-radius: 0 0 2.5px 2.5px;\\n}\\n.bk-root .choices__list {\\n  margin: 0;\\n  padding-left: 0;\\n  list-style: none;\\n}\\n.bk-root .choices__list--single {\\n  display: inline-block;\\n  padding: 4px 16px 4px 4px;\\n  width: 100%;\\n}\\n.bk-root [dir='rtl'] .choices__list--single {\\n  padding-right: 4px;\\n  padding-left: 16px;\\n}\\n.bk-root .choices__list--single .choices__item {\\n  width: 100%;\\n}\\n.bk-root .choices__list--multiple {\\n  display: inline;\\n}\\n.bk-root .choices__list--multiple .choices__item {\\n  display: inline-block;\\n  vertical-align: middle;\\n  border-radius: 20px;\\n  padding: 4px 10px;\\n  font-size: 12px;\\n  font-weight: 500;\\n  margin-right: 3.75px;\\n  margin-bottom: 3.75px;\\n  background-color: #00bcd4;\\n  border: 1px solid #00a5bb;\\n  color: #ffffff;\\n  word-break: break-all;\\n  box-sizing: border-box;\\n}\\n.bk-root .choices__list--multiple .choices__item[data-deletable] {\\n  padding-right: 5px;\\n}\\n.bk-root [dir='rtl'] .choices__list--multiple .choices__item {\\n  margin-right: 0;\\n  margin-left: 3.75px;\\n}\\n.bk-root .choices__list--multiple .choices__item.is-highlighted {\\n  background-color: #00a5bb;\\n  border: 1px solid #008fa1;\\n}\\n.bk-root .is-disabled .choices__list--multiple .choices__item {\\n  background-color: #aaaaaa;\\n  border: 1px solid #919191;\\n}\\n.bk-root .choices__list--dropdown {\\n  visibility: hidden;\\n  z-index: 1;\\n  position: absolute;\\n  width: 100%;\\n  background-color: #ffffff;\\n  border: 1px solid #dddddd;\\n  top: 100%;\\n  margin-top: -1px;\\n  border-bottom-left-radius: 2.5px;\\n  border-bottom-right-radius: 2.5px;\\n  overflow: hidden;\\n  word-break: break-all;\\n  will-change: visibility;\\n}\\n.bk-root .choices__list--dropdown.is-active {\\n  visibility: visible;\\n}\\n.bk-root .is-open .choices__list--dropdown {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-flipped .choices__list--dropdown {\\n  top: auto;\\n  bottom: 100%;\\n  margin-top: 0;\\n  margin-bottom: -1px;\\n  border-radius: 0.25rem 0.25rem 0 0;\\n}\\n.bk-root .choices__list--dropdown .choices__list {\\n  position: relative;\\n  max-height: 300px;\\n  overflow: auto;\\n  -webkit-overflow-scrolling: touch;\\n  will-change: scroll-position;\\n}\\n.bk-root .choices__list--dropdown .choices__item {\\n  position: relative;\\n  padding: 10px;\\n  font-size: 14px;\\n}\\n.bk-root [dir='rtl'] .choices__list--dropdown .choices__item {\\n  text-align: right;\\n}\\n@media (min-width: 640px) {\\n  .bk-root .choices__list--dropdown .choices__item--selectable {\\n    padding-right: 100px;\\n  }\\n  .bk-root .choices__list--dropdown .choices__item--selectable:after {\\n    content: attr(data-select-text);\\n    font-size: 12px;\\n    opacity: 0;\\n    position: absolute;\\n    right: 10px;\\n    top: 50%;\\n    transform: translateY(-50%);\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable {\\n    text-align: right;\\n    padding-left: 100px;\\n    padding-right: 10px;\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable:after {\\n    right: auto;\\n    left: 10px;\\n  }\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted:after {\\n  opacity: 0.5;\\n}\\n.bk-root .choices__item {\\n  cursor: default;\\n}\\n.bk-root .choices__item--selectable {\\n  cursor: pointer;\\n}\\n.bk-root .choices__item--disabled {\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  opacity: 0.5;\\n}\\n.bk-root .choices__heading {\\n  font-weight: 600;\\n  font-size: 12px;\\n  padding: 10px;\\n  border-bottom: 1px solid #f7f7f7;\\n  color: gray;\\n}\\n.bk-root .choices__button {\\n  text-indent: -9999px;\\n  -webkit-appearance: none;\\n  -moz-appearance: none;\\n  appearance: none;\\n  border: 0;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center;\\n  cursor: pointer;\\n}\\n.bk-root .choices__button:focus {\\n  outline: none;\\n}\\n.bk-root .choices__input {\\n  display: inline-block;\\n  vertical-align: baseline;\\n  background-color: #f9f9f9;\\n  font-size: 14px;\\n  margin-bottom: 5px;\\n  border: 0;\\n  border-radius: 0;\\n  max-width: 100%;\\n  padding: 4px 0 4px 2px;\\n}\\n.bk-root .choices__input:focus {\\n  outline: 0;\\n}\\n.bk-root [dir='rtl'] .choices__input {\\n  padding-right: 2px;\\n  padding-left: 0;\\n}\\n.bk-root .choices__placeholder {\\n  opacity: 0.5;\\n}\\n.bk-root .choices {\\n  width: 100%;\\n}\\n.bk-root .choices__inner .choices__item.light {\\n  background-color: rgba(0, 126, 255, 0.08);\\n  border-radius: 5px;\\n  border: 1px solid rgba(0, 126, 255, 0.24);\\n  color: #007eff;\\n}\\n.bk-root .choices__inner .choices__item.solid {\\n  background-color: #1f77b4;\\n  border: none;\\n  border-radius: 5px;\\n  color: white;\\n}\\n.bk-root .choices__inner .choices__item.solid .is-highlighted {\\n  background-color: #1f77b4;\\n  border: none;\\n}\\n.bk-root .choices__input {\\n  background-color: transparent;\\n}\\n.bk-root .choices__inner {\\n  background: transparent;\\n  border: 1px solid darkgray;\\n  border-radius: 5px;\\n  min-height: unset;\\n}\\n.bk-root .choices__list {\\n  white-space: initial;\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.light {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDA3ZWZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.solid {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjZmZmZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  border-left: 1px solid white;\\n  opacity: 1;\\n}\\n\"},\n      429: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=e(418),i=e(68);class n extends s.MarkupView{render(){super.render();const e=i.pre({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=n,n.__name__=\"PreTextView\";class _ extends s.Markup{constructor(e){super(e)}static init_PreText(){this.prototype.default_view=n}}r.PreText=_,_.__name__=\"PreText\",_.init_PreText()},\n      430: function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(403),n=t(68),u=i.__importStar(t(18)),s=t(146);class _ extends a.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach((o,e)=>{n.classes(o).toggle(s.bk_active,t===e)})}}e.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class c extends a.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define({active:[u.Any,null]})}}e.RadioButtonGroup=c,c.__name__=\"RadioButtonGroup\",c.init_RadioButtonGroup()},\n      431: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),a=e(68),s=e(24),o=n.__importStar(e(18)),d=e(405),l=e(146),p=e(400);class r extends d.InputGroupView{render(){super.render();const e=a.div({class:[p.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const i=s.uniqueId(),{active:t,labels:n}=this.model;this._inputs=[];for(let s=0;s<n.length;s++){const o=a.input({type:\"radio\",name:i,value:\"\"+s});o.addEventListener(\"change\",()=>this.change_active(s)),this._inputs.push(o),this.model.disabled&&(o.disabled=!0),s==t&&(o.checked=!0);const d=a.label({},o,a.span({},n[s]));e.appendChild(d)}}change_active(e){this.model.active=e}}t.RadioGroupView=r,r.__name__=\"RadioGroupView\";class u extends d.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=r,this.define({active:[o.Number],labels:[o.Array,[]],inline:[o.Boolean,!1]})}}t.RadioGroup=u,u.__name__=\"RadioGroup\",u.init_RadioGroup()},\n      432: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),a=e(411),n=e(8);class o extends a.AbstractRangeSliderView{}r.RangeSliderView=o,o.__name__=\"RangeSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(e,t){return n.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.RangeSlider=s,s.__name__=\"RangeSlider\",s.init_RangeSlider()},\n      433: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(68),l=e(8),o=e(17),p=n.__importStar(e(18)),u=e(398),a=e(400);class _ extends u.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,()=>{this._update_value()}),this.on_change(t,()=>{s.empty(this.input_el),s.append(this.input_el,...this.options_el())})}options_el(){function e(e){return e.map(e=>{let t,i;return l.isString(e)?t=i=e:[t,i]=e,s.option({value:t},i)})}const{options:t}=this.model;return l.isArray(t)?e(t):o.entries(t).map(([t,i])=>s.optgroup({label:t},e(i)))}render(){super.render(),this.input_el=s.select({class:a.bk_input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;null!=e&&0!=e.length&&(this.input_el.value=this.model.value)}}i.SelectView=_,_.__name__=\"SelectView\";class h extends u.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=_,this.define({value:[p.String,\"\"],options:[p.Any,[]]})}}i.Select=h,h.__name__=\"Select\",h.init_Select()},\n      434: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),o=e(411),s=e(8);class _ extends o.AbstractSliderView{}r.SliderView=_,_.__name__=\"SliderView\";class a extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=_,this.override({format:\"0[.]00\"})}_formatter(e,t){return s.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.Slider=a,a.__name__=\"Slider\",a.init_Slider()},\n      435: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),h=n.__importStar(e(18)),o=e(400),{floor:p,max:d,min:u}=Math;function r(e){return p(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.low.change,()=>{const{low:e}=this.model;null!=e&&(this.input_el.min=e.toFixed(16))}),this.connect(this.model.properties.high.change,()=>{const{high:e}=this.model;null!=e&&(this.input_el.max=e.toFixed(16))}),this.connect(this.model.properties.step.change,()=>{const{step:e}=this.model;this.input_el.step=e.toFixed(16)}),this.connect(this.model.properties.value.change,()=>{const{value:e,step:t}=this.model;this.input_el.value=e.toFixed(r(t)).replace(/(\\.[0-9]*[1-9])0+$|\\.0*$/,\"$1\")}),this.connect(this.model.properties.disabled.change,()=>{this.input_el.disabled=this.model.disabled})}render(){super.render(),this.input_el=l.input({type:\"number\",class:o.bk_input,name:this.model.name,min:this.model.low,max:this.model.high,value:this.model.value,step:this.model.step,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){if(this.input_el.value){const{step:e}=this.model;let t=Number(this.input_el.value);null!=this.model.low&&(t=d(t,this.model.low)),null!=this.model.high&&(t=u(t,this.model.high)),this.model.value=Number(t.toFixed(r(e))),super.change_input()}}}i.SpinnerView=a,a.__name__=\"SpinnerView\";class c extends s.InputWidget{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=a,this.define({value:[h.Number,0],low:[h.Number,null],high:[h.Number,null],step:[h.Number,1]})}}i.Spinner=c,c.__name__=\"Spinner\",c.init_Spinner()},\n      436: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(398),l=e(68),h=s.__importStar(e(18)),o=e(400);class a extends n.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder),this.connect(this.model.properties.rows.change,()=>this.input_el.rows=this.model.rows),this.connect(this.model.properties.cols.change,()=>this.input_el.cols=this.model.cols),this.connect(this.model.properties.max_length.change,()=>this.input_el.maxLength=this.model.max_length)}render(){super.render(),this.input_el=l.textarea({class:o.bk_input,name:this.model.name,disabled:this.model.disabled,placeholder:this.model.placeholder,cols:this.model.cols,rows:this.model.rows,maxLength:this.model.max_length}),this.input_el.textContent=this.model.value,this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}}i.TextAreaInputView=a,a.__name__=\"TextAreaInputView\";class p extends n.InputWidget{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=a,this.define({value:[h.String,\"\"],value_input:[h.String,\"\"],placeholder:[h.String,\"\"],cols:[h.Number,20],rows:[h.Number,2],max_length:[h.Number,500]})}}i.TextAreaInput=p,p.__name__=\"TextAreaInput\",p.init_TextAreaInput()},\n      437: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),c=e(392),o=e(68),a=s.__importStar(e(18)),n=e(146);class l extends c.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._update_active())}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){o.classes(this.button_el).toggle(n.bk_active,this.model.active)}}i.ToggleView=l,l.__name__=\"ToggleView\";class _ extends c.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=l,this.define({active:[a.Boolean,!1]}),this.override({label:\"Toggle\"})}}i.Toggle=_,_.__name__=\"Toggle\",_.init_Toggle()},\n      }, 390, {\"models/widgets/main\":390,\"models/widgets/index\":391,\"models/widgets/abstract_button\":392,\"models/widgets/control\":393,\"models/widgets/widget\":458,\"models/widgets/abstract_icon\":395,\"models/widgets/autocomplete_input\":396,\"models/widgets/text_input\":397,\"models/widgets/input_widget\":398,\"styles/widgets/inputs.css\":399,\"styles/widgets/inputs\":400,\"models/widgets/button\":401,\"models/widgets/checkbox_button_group\":402,\"models/widgets/button_group\":403,\"models/widgets/checkbox_group\":404,\"models/widgets/input_group\":405,\"models/widgets/color_picker\":406,\"models/widgets/date_picker\":407,\"styles/widgets/flatpickr.css\":409,\"models/widgets/date_range_slider\":410,\"models/widgets/abstract_slider\":411,\"styles/widgets/sliders\":413,\"styles/widgets/nouislider.css\":414,\"styles/widgets/sliders.css\":415,\"models/widgets/date_slider\":416,\"models/widgets/div\":417,\"models/widgets/markup\":418,\"styles/clearfix\":419,\"styles/clearfix.css\":420,\"models/widgets/dropdown\":421,\"models/widgets/file_input\":422,\"models/widgets/multiselect\":423,\"models/widgets/paragraph\":424,\"models/widgets/password_input\":425,\"models/widgets/multichoice\":426,\"styles/widgets/choices.css\":428,\"models/widgets/pretext\":429,\"models/widgets/radio_button_group\":430,\"models/widgets/radio_group\":431,\"models/widgets/range_slider\":432,\"models/widgets/selectbox\":433,\"models/widgets/slider\":434,\"models/widgets/spinner\":435,\"models/widgets/textarea_input\":436,\"models/widgets/toggle\":437}, {});\n      })\n\n\n      /* END bokeh-widgets.min.js */\n    },\n    \n    function(Bokeh) {\n      /* BEGIN bokeh-tables.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], \"2.1.1\");\n      })(this, function(Bokeh, version) {\n        var define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      438: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(439));o.Tables=r,e(7).register_models(r)},\n      439: function _(a,g,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(1);e.__exportStar(a(440),r),e.__exportStar(a(462),r);var t=a(441);r.DataTable=t.DataTable;var o=a(465);r.TableColumn=o.TableColumn;var n=a(457);r.TableWidget=n.TableWidget;var u=a(466);r.AvgAggregator=u.AvgAggregator,r.MinAggregator=u.MinAggregator,r.MaxAggregator=u.MaxAggregator,r.SumAggregator=u.SumAggregator;var l=a(467);r.GroupingInfo=l.GroupingInfo,r.DataCube=l.DataCube},\n      440: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1).__importStar(e(18)),r=e(68),a=e(66),n=e(71),l=e(441),u=e(459);class d extends a.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(u.bk_cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",e=>{switch(e.keyCode){case r.Keys.Left:case r.Keys.Right:case r.Keys.Up:case r.Keys.Down:case r.Keys.PageUp:case r.Keys.PageDown:e.stopImmediatePropagation()}})}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[l.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=d,d.__name__=\"CellEditorView\";class o extends n.Model{}i.CellEditor=o,o.__name__=\"CellEditor\";class _ extends d{get emptyValue(){return\"\"}_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=_,_.__name__=\"StringEditorView\";class c extends o{static init_StringEditor(){this.prototype.default_view=_,this.define({completions:[s.Array,[]]})}}i.StringEditor=c,c.__name__=\"StringEditor\",c.init_StringEditor();class p extends d{_createInput(){return r.textarea()}}i.TextEditorView=p,p.__name__=\"TextEditorView\";class h extends o{static init_TextEditor(){this.prototype.default_view=p}}i.TextEditor=h,h.__name__=\"TextEditor\",h.init_TextEditor();class E extends d{_createInput(){return r.select()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild(r.option({value:e},e));this.focus()}}i.SelectEditorView=E,E.__name__=\"SelectEditorView\";class V extends o{static init_SelectEditor(){this.prototype.default_view=E,this.define({options:[s.Array,[]]})}}i.SelectEditor=V,V.__name__=\"SelectEditor\",V.init_SelectEditor();class m extends d{_createInput(){return r.input({type:\"text\"})}}i.PercentEditorView=m,m.__name__=\"PercentEditorView\";class f extends o{static init_PercentEditor(){this.prototype.default_view=m}}i.PercentEditor=f,f.__name__=\"PercentEditor\",f.init_PercentEditor();class x extends d{_createInput(){return r.input({type:\"checkbox\",value:\"true\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=x,x.__name__=\"CheckboxEditorView\";class w extends o{static init_CheckboxEditor(){this.prototype.default_view=x}}i.CheckboxEditor=w,w.__name__=\"CheckboxEditor\",w.init_CheckboxEditor();class g extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseInt(this.getValue(),10)||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=g,g.__name__=\"IntEditorView\";class v extends o{static init_IntEditor(){this.prototype.default_view=g,this.define({step:[s.Number,1]})}}i.IntEditor=v,v.__name__=\"IntEditor\",v.init_IntEditor();class y extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseFloat(this.getValue())||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=y,y.__name__=\"NumberEditorView\";class b extends o{static init_NumberEditor(){this.prototype.default_view=y,this.define({step:[s.Number,.01]})}}i.NumberEditor=b,b.__name__=\"NumberEditor\",b.init_NumberEditor();class I extends d{_createInput(){return r.input({type:\"text\"})}}i.TimeEditorView=I,I.__name__=\"TimeEditorView\";class N extends o{static init_TimeEditor(){this.prototype.default_view=I}}i.TimeEditor=N,N.__name__=\"TimeEditor\",N.init_TimeEditor();class C extends d{_createInput(){return r.input({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=C,C.__name__=\"DateEditorView\";class D extends o{static init_DateEditor(){this.prototype.default_view=C}}i.DateEditor=D,D.__name__=\"DateEditor\",D.init_DateEditor()},\n      441: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),o=e(442),n=e(446),l=e(447),r=e(448),d=s.__importStar(e(18)),a=e(24),h=e(8),c=e(9),u=e(17),_=e(72),m=e(188),g=e(457),p=e(458),b=e(459),f=s.__importDefault(e(460)),w=s.__importDefault(e(461));i.DTINDEX_NAME=\"__bkdt_internal_index__\";class x{constructor(e,t){this.init(e,t)}init(e,t){if(i.DTINDEX_NAME in e.data)throw new Error(`special name ${i.DTINDEX_NAME} cannot be used as a data table column`);this.source=e,this.view=t,this.index=this.view.indices}getLength(){return this.index.length}getItem(e){const t={};for(const i of u.keys(this.source.data))t[i]=this.source.data[i][this.index[e]];return t[i.DTINDEX_NAME]=this.index[e],t}getField(e,t){return t==i.DTINDEX_NAME?this.index[e]:this.source.data[t][this.index[e]]}setField(e,t,i){const s=this.index[e];this.source.patch({[t]:[[s,i]]})}getItemMetadata(e){return null}getRecords(){return c.range(0,this.getLength()).map(e=>this.getItem(e))}sort(e){let t=e.map(e=>[e.sortCol.field,e.sortAsc?1:-1]);0==t.length&&(t=[[i.DTINDEX_NAME,1]]);const s=this.getRecords(),o=this.index.slice();this.index.sort((function(e,i){for(const[n,l]of t){const t=s[o.indexOf(e)][n],r=s[o.indexOf(i)][n],d=t==r?0:t>r?l:-l;if(0!=d)return d}return 0}))}}i.TableDataProvider=x,x.__name__=\"TableDataProvider\";class C extends p.WidgetView{constructor(){super(...arguments),this._in_selection_update=!1,this._warned_not_reorderable=!1}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.source.streaming,()=>this.updateGrid()),this.connect(this.model.source.patching,()=>this.updateGrid()),this.connect(this.model.source.change,()=>this.updateGrid()),this.connect(this.model.source.properties.data.change,()=>this.updateGrid()),this.connect(this.model.source.selected.change,()=>this.updateSelection()),this.connect(this.model.source.selected.properties.indices.change,()=>this.updateSelection())}remove(){var e;null===(e=this.grid)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),f.default,w.default]}_update_layout(){this.layout=new m.LayoutItem,this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.grid.resizeCanvas()}updateGrid(){if(this.model.view.compute_indices(),this.data.init(this.model.source,this.model.view),this.model.sortable){const e=this.grid.getColumns(),t=this.grid.getSortColumns().map(t=>({sortCol:{field:e[this.grid.getColumnIndex(t.columnId)].field},sortAsc:t.sortAsc}));this.data.sort(t)}this.grid.invalidate(),this.grid.render()}updateSelection(){if(this._in_selection_update)return;const{selected:e}=this.model.source,t=e.indices.map(e=>this.data.index.indexOf(e)).sort();this._in_selection_update=!0,this.grid.setSelectedRows(t),this._in_selection_update=!1;const i=this.grid.getViewport(),s=this.model.get_scroll_index(i,t);null!=s&&this.grid.scrollRowToTop(s)}newIndexColumn(){return{id:a.uniqueId(),name:this.model.index_header,field:i.DTINDEX_NAME,width:this.model.index_width,behavior:\"select\",cannotTriggerInsert:!0,resizable:!1,selectable:!1,sortable:!0,cssClass:b.bk_cell_index,headerCssClass:b.bk_header_index}}css_classes(){return super.css_classes().concat(b.bk_data_table)}render(){let e,t=this.model.columns.map(e=>Object.assign(Object.assign({},e.toColumn()),{parent:this}));if(\"checkbox\"==this.model.selectable&&(e=new n.CheckboxSelectColumn({cssClass:b.bk_cell_select}),t.unshift(e.getColumnDefinition())),null!=this.model.index_position){const e=this.model.index_position,i=this.newIndexColumn();-1==e?t.push(i):e<-1?t.splice(e+1,0,i):t.splice(e,0,i)}let{reorderable:i}=this.model;!i||\"undefined\"!=typeof $&&null!=$.fn&&null!=$.fn.sortable||(this._warned_not_reorderable||(_.logger.warn(\"jquery-ui is required to enable DataTable.reorderable\"),this._warned_not_reorderable=!0),i=!1);const s={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:i,forceFitColumns:this.model.fit_columns,multiColumnSort:this.model.sortable,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height};if(this.data=new x(this.model.source,this.model.view),this.grid=new r.Grid(this.el,this.data,t,s),this.grid.onSort.subscribe((e,i)=>{this.model.sortable&&(t=i.sortCols,this.data.sort(t),this.grid.invalidate(),this.updateSelection(),this.grid.render(),this.model.header_row||this._hide_header(),this.model.update_sort_columns(t))}),!1!==this.model.selectable){this.grid.setSelectionModel(new o.RowSelectionModel({selectActiveRow:null==e})),null!=e&&this.grid.registerPlugin(e);const t={dataItemColumnValueExtractor(e,t){let i=e[t.field];return h.isString(i)&&(i=i.replace(/\\n/g,\"\\\\n\")),i},includeHeaderWhenCopying:!1};this.grid.registerPlugin(new l.CellExternalCopyManager(t)),this.grid.onSelectedRowsChanged.subscribe((e,t)=>{this._in_selection_update||(this.model.source.selected.indices=t.rows.map(e=>this.data.index[e]))}),this.updateSelection(),this.model.header_row||this._hide_header()}}_hide_header(){for(const e of Array.from(this.el.querySelectorAll(\".slick-header-columns\")))e.style.height=\"0px\";this.grid.resizeCanvas()}}i.DataTableView=C,C.__name__=\"DataTableView\";class D extends g.TableWidget{constructor(e){super(e),this._sort_columns=[]}get sort_columns(){return this._sort_columns}static init_DataTable(){this.prototype.default_view=C,this.define({columns:[d.Array,[]],fit_columns:[d.Boolean,!0],sortable:[d.Boolean,!0],reorderable:[d.Boolean,!0],editable:[d.Boolean,!1],selectable:[d.Any,!0],index_position:[d.Int,0],index_header:[d.String,\"#\"],index_width:[d.Int,40],scroll_to_selection:[d.Boolean,!0],header_row:[d.Boolean,!0],row_height:[d.Int,25]}),this.override({width:600,height:400})}update_sort_columns(e){return this._sort_columns=e.map(e=>({field:e.sortCol.field,sortAsc:e.sortAsc})),null}get_scroll_index(e,t){return this.scroll_to_selection&&0!=t.length?c.some(t,t=>e.top<=t&&t<=e.bottom)?null:Math.max(0,Math.min(...t)-1):null}}i.DataTable=D,D.__name__=\"DataTable\",D.init_DataTable()},\n      442: function _(e,t,n){var o=e(443),r=e(445);t.exports={RowSelectionModel:function(e){var t,n,l,i=[],c=this,u=new r.EventHandler,s={selectActiveRow:!0};function a(e){return function(){n||(n=!0,e.apply(this,arguments),n=!1)}}function f(e){for(var t=[],n=0;n<e.length;n++)for(var o=e[n].fromRow;o<=e[n].toRow;o++)t.push(o);return t}function h(e){for(var n=[],o=t.getColumns().length-1,l=0;l<e.length;l++)n.push(new r.Range(e[l],0,e[l],o));return n}function w(){return f(i)}function g(e){(i&&0!==i.length||e&&0!==e.length)&&(i=e,c.onSelectedRangesChanged.notify(i))}function v(e,n){l.selectActiveRow&&null!=n.row&&g([new r.Range(n.row,0,n.row,t.getColumns().length-1)])}function p(e){var n=t.getActiveCell();if(t.getOptions().multiSelect&&n&&e.shiftKey&&!e.ctrlKey&&!e.altKey&&!e.metaKey&&(e.which==r.keyCode.UP||e.which==r.keyCode.DOWN)){var o=w();o.sort((function(e,t){return e-t})),o.length||(o=[n.row]);var l,i=o[0],c=o[o.length-1];if((l=e.which==r.keyCode.DOWN?n.row<c||i==c?++c:++i:n.row<c?--c:--i)>=0&&l<t.getDataLength())t.scrollRowIntoView(l),g(h(function(e,t){var n,o=[];for(n=e;n<=t;n++)o.push(n);for(n=t;n<e;n++)o.push(n);return o}(i,c)));e.preventDefault(),e.stopPropagation()}}function y(e){var n=t.getCellFromEvent(e);if(!n||!t.canCellBeActive(n.row,n.cell))return!1;if(!t.getOptions().multiSelect||!e.ctrlKey&&!e.shiftKey&&!e.metaKey)return!1;var r=f(i),l=o.inArray(n.row,r);if(-1===l&&(e.ctrlKey||e.metaKey))r.push(n.row),t.setActiveCell(n.row,n.cell);else if(-1!==l&&(e.ctrlKey||e.metaKey))r=o.grep(r,(function(e,t){return e!==n.row})),t.setActiveCell(n.row,n.cell);else if(r.length&&e.shiftKey){var c=r.pop(),u=Math.min(n.row,c),s=Math.max(n.row,c);r=[];for(var a=u;a<=s;a++)a!==c&&r.push(a);r.push(c),t.setActiveCell(n.row,n.cell)}return g(h(r)),e.stopImmediatePropagation(),!0}o.extend(this,{getSelectedRows:w,setSelectedRows:function(e){g(h(e))},getSelectedRanges:function(){return i},setSelectedRanges:g,init:function(n){l=o.extend(!0,{},s,e),t=n,u.subscribe(t.onActiveCellChanged,a(v)),u.subscribe(t.onKeyDown,a(p)),u.subscribe(t.onClick,a(y))},destroy:function(){u.unsubscribeAll()},onSelectedRangesChanged:new r.Event})}}},\n      443: function _(e,n,f){n.exports=\"undefined\"!=typeof $?$:e(444)},\n      444: function _(e,t,n){\n      /*!\n           * jQuery JavaScript Library v3.5.0\n           * https://jquery.com/\n           *\n           * Includes Sizzle.js\n           * https://sizzlejs.com/\n           *\n           * Copyright JS Foundation and other contributors\n           * Released under the MIT license\n           * https://jquery.org/license\n           *\n           * Date: 2020-04-10T15:07Z\n           */\n      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e=t.getColumns(),o=0;o<e.length;o++)e[o].id==d.columnId&&(m=o)}return m}()),t.focus()}function b(e,o){if(o.column.id==d.columnId&&l(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();if(l(e.target).is(\":checked\")){for(var c=[],n=0;n<t.getDataLength();n++)c.push(n);t.setSelectedRows(c)}else t.setSelectedRows([]);e.stopPropagation(),e.stopImmediatePropagation()}}var m=null;function g(){return Math.round(1e7*Math.random())}function k(e,t,o,l,c){var n=g()+e;return c?i[e]?\"<input id='selector\"+n+\"' type='checkbox' checked='checked'><label for='selector\"+n+\"'></label>\":\"<input id='selector\"+n+\"' type='checkbox'><label for='selector\"+n+\"'></label>\":null}l.extend(this,{init:function(e){t=e,n.subscribe(t.onSelectedRowsChanged,u).subscribe(t.onClick,f).subscribe(t.onKeyDown,h),d.hideInFilterHeaderRow||function(e){e.onHeaderRowCellRendered.subscribe((function(e,t){\"sel\"===t.column.field&&(l(t.node).empty(),l(\"<span id='filter-checkbox-selectall-container'><input id='header-filter-selector\"+o+\"' type='checkbox'><label for='header-filter-selector\"+o+\"'></label></span>\").appendTo(t.node).on(\"click\",(function(e){b(e,t)})))}))}(e),d.hideInColumnTitleRow||n.subscribe(t.onHeaderClick,b)},destroy:function(){n.unsubscribeAll()},deSelectRows:function(e){var o,c=e.length,n=[];for(o=0;o<c;o++)i[e[o]]&&(n[n.length]=e[o]);t.setSelectedRows(l.grep(t.getSelectedRows(),(function(e){return n.indexOf(e)<0})))},selectRows:function(e){var o,l=e.length,c=[];for(o=0;o<l;o++)i[e[o]]||(c[c.length]=e[o]);t.setSelectedRows(t.getSelectedRows().concat(c))},getColumnDefinition:function(){return{id:d.columnId,name:d.hideSelectAllCheckbox||d.hideInColumnTitleRow?\"\":\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",toolTip:d.toolTip,field:\"sel\",width:d.width,resizable:!1,sortable:!1,cssClass:d.cssClass,hideSelectAllCheckbox:d.hideSelectAllCheckbox,formatter:k}},getOptions:function(){return d},setOptions:function(e){if((d=l.extend(!0,{},d,e)).hideSelectAllCheckbox)a(),s();else if(d.hideInColumnTitleRow?a():(r?t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox' checked='checked'><label for='header-selector\"+o+\"'></label>\",d.toolTip):t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",d.toolTip),n.subscribe(t.onHeaderClick,b)),d.hideInFilterHeaderRow)s();else{var c=l(\"#filter-checkbox-selectall-container\");c.show(),c.find('input[type=\"checkbox\"]').prop(\"checked\",r)}}})}}},\n      447: function _(e,t,o){var l=e(443),n=e(445),a=n.keyCode;t.exports={CellExternalCopyManager:function(e){var t,o,r=this,i=e||{},s=i.copiedCellStyleLayerKey||\"copy-manager\",u=i.copiedCellStyle||\"copied\",c=0,d=i.bodyElement||document.body,f=i.onCopyInit||null,h=i.onCopySuccess||null;function C(e){if(i.headerColumnValueExtractor){var t=i.headerColumnValueExtractor(e);if(t)return t}return e.name}function m(e,o,n){if(i.dataItemColumnValueExtractor){var a=i.dataItemColumnValueExtractor(e,o);if(a)return a}var r=\"\";if(o.editor){var s={container:l(\"<p>\"),column:o,position:{top:0,left:0},grid:t,event:n},u=new o.editor(s);u.loadValue(e),r=u.serializeValue(),u.destroy()}else r=e[o.field];return r}function g(e,o,n){if(i.dataItemColumnValueSetter)return i.dataItemColumnValueSetter(e,o,n);if(o.editor){var a={container:l(\"body\"),column:o,position:{top:0,left:0},grid:t},r=new o.editor(a);r.loadValue(e),r.applyValue(e,n),r.destroy()}else e[o.field]=n}function p(e){var t=document.createElement(\"textarea\");return t.style.position=\"absolute\",t.style.left=\"-1000px\",t.style.top=document.body.scrollTop+\"px\",t.value=e,d.appendChild(t),t.select(),t}function y(e,l){var n;if(!t.getEditorLock().isActive()||t.getOptions().autoEdit){if(e.which==a.ESC&&o&&(e.preventDefault(),w(),r.onCopyCancelled.notify({ranges:o}),o=null),(e.which===a.C||e.which===a.INSERT)&&(e.ctrlKey||e.metaKey)&&!e.shiftKey&&(f&&f.call(),0!=(n=t.getSelectionModel().getSelectedRanges()).length)){o=n,v(n),r.onCopyCells.notify({ranges:n});for(var s=t.getColumns(),u=\"\",c=0;c<n.length;c++){for(var y=n[c],D=[],S=y.fromRow;S<y.toRow+1;S++){var R=[],x=t.getDataItem(S);if(\"\"==D&&i.includeHeaderWhenCopying){for(var V=[],E=y.fromCell;E<y.toCell+1;E++)s[E].name.length>0&&V.push(C(s[E]));D.push(V.join(\"\\t\"))}for(E=y.fromCell;E<y.toCell+1;E++)R.push(m(x,s[E],e));D.push(R.join(\"\\t\"))}u+=D.join(\"\\r\\n\")+\"\\r\\n\"}if(window.clipboardData)return window.clipboardData.setData(\"Text\",u),!0;var b=document.activeElement;if((M=p(u)).focus(),setTimeout((function(){d.removeChild(M),b?b.focus():console.log(\"Not element to restore focus to after copy?\")}),100),h){var I=0;I=1===n.length?n[0].toRow+1-n[0].fromRow:n.length,h.call(this,I)}return!1}if(!i.readOnlyMode&&(e.which===a.V&&(e.ctrlKey||e.metaKey)&&!e.shiftKey||e.which===a.INSERT&&e.shiftKey&&!e.ctrlKey)){var M=p(\"\");return setTimeout((function(){!function(e,t){var o=e.getColumns(),l=t.value.split(/[\\n\\f\\r]/);\"\"==l[l.length-1]&&l.pop();var n=[],a=0;d.removeChild(t);for(var s=0;s<l.length;s++)\"\"!=l[s]?n[a++]=l[s].split(\"\\t\"):n[s]=[\"\"];var u=e.getActiveCell(),c=e.getSelectionModel().getSelectedRanges(),f=c&&c.length?c[0]:null,h=null,C=null;if(f)h=f.fromRow,C=f.fromCell;else{if(!u)return;h=u.row,C=u.cell}var m=!1,p=n.length,y=n.length?n[0].length:0;1==n.length&&1==n[0].length&&f&&(m=!0,p=f.toRow-f.fromRow+1,y=f.toCell-f.fromCell+1);var w=e.getData().length-h,D=0;if(w<p&&i.newRowCreator){var S=e.getData();for(D=1;D<=p-w;D++)S.push({});e.setData(S),e.render()}var R=h+p>e.getDataLength();if(i.newRowCreator&&R){var x=h+p-e.getDataLength();i.newRowCreator(x)}var V={isClipboardCommand:!0,clippedRange:n,oldValues:[],cellExternalCopyManager:r,_options:i,setDataItemValueForColumn:g,markCopySelection:v,oneCellToMultiple:m,activeRow:h,activeCell:C,destH:p,destW:y,maxDestY:e.getDataLength(),maxDestX:e.getColumns().length,h:0,w:0,execute:function(){this.h=0;for(var t=0;t<this.destH;t++){this.oldValues[t]=[],this.w=0,this.h++;for(var l=0;l<this.destW;l++){this.w++;var a=h+t,r=C+l;if(a<this.maxDestY&&r<this.maxDestX){e.getCellNode(a,r);var i=e.getDataItem(a);this.oldValues[t][l]=i[o[r].field],m?this.setDataItemValueForColumn(i,o[r],n[0][0]):this.setDataItemValueForColumn(i,o[r],n[t]?n[t][l]:\"\"),e.updateCell(a,r),e.onCellChange.notify({row:a,cell:r,item:i,grid:e})}}}var s={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};this.markCopySelection([s]),e.getSelectionModel().setSelectedRanges([s]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[s]})},undo:function(){for(var t=0;t<this.destH;t++)for(var l=0;l<this.destW;l++){var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var r=e.getDataItem(n);m?this.setDataItemValueForColumn(r,o[a],this.oldValues[0][0]):this.setDataItemValueForColumn(r,o[a],this.oldValues[t][l]),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:r,grid:e})}}var i={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};if(this.markCopySelection([i]),e.getSelectionModel().setSelectedRanges([i]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[i]}),D>1){for(var s=e.getData();D>1;D--)s.splice(s.length-1,1);e.setData(s),e.render()}}};i.clipboardCommandHandler?i.clipboardCommandHandler(V):V.execute()}(t,M)}),100),!1}}}function v(e){w();for(var o=t.getColumns(),l={},n=0;n<e.length;n++)for(var a=e[n].fromRow;a<=e[n].toRow;a++){l[a]={};for(var i=e[n].fromCell;i<=e[n].toCell&&i<o.length;i++)l[a][o[i].id]=u}t.setCellCssStyles(s,l),clearTimeout(c),c=setTimeout((function(){r.clearCopySelection()}),2e3)}function w(){t.removeCellCssStyles(s)}l.extend(this,{init:function(e){(t=e).onKeyDown.subscribe(y);var o=e.getSelectionModel();if(!o)throw new Error(\"Selection model is mandatory for this plugin. Please set a selection model on the grid before adding this plugin: grid.setSelectionModel(new Slick.CellSelectionModel())\");o.onSelectedRangesChanged.subscribe((function(e,o){t.focus()}))},destroy:function(){t.onKeyDown.unsubscribe(y)},clearCopySelection:w,handleKeyDown:y,onCopyCells:new n.Event,onCopyCancelled:new n.Event,onPasteCells:new n.Event,setIncludeHeaderWhenCopying:function(e){i.includeHeaderWhenCopying=e}})}}},\n      448: function _(r,t,o){var _=r(1);_.__exportStar(r(445),t.exports),_.__exportStar(r(449),t.exports),_.__exportStar(r(452),t.exports),_.__exportStar(r(453),t.exports),_.__exportStar(r(454),t.exports),_.__exportStar(r(455),t.exports),_.__exportStar(r(456),t.exports)},\n      449: function _(require,module,exports){\n      /**\n           * @license\n           * (c) 2009-2016 Michael Leibman\n           * michael{dot}leibman{at}gmail{dot}com\n           * http://github.com/mleibman/slickgrid\n           *\n           * Distributed under MIT license.\n           * All rights reserved.\n           *\n           * SlickGrid v2.3\n           *\n           * NOTES:\n           *     Cell/row DOM manipulations are done directly bypassing jQuery's DOM manipulation methods.\n           *     This increases the speed dramatically, but can only be done safely because there are no event handlers\n           *     or data associated with any cell/row DOM nodes.  Cell editors must make sure they implement .destroy()\n           *     and do proper cleanup.\n           */\n      var $=require(443),Slick=require(445),scrollbarDimensions,maxSupportedCssHeight;function SlickGrid(container,data,columns,options){$.fn.drag||require(450),$.fn.drop||require(451);var defaults={alwaysShowVerticalScroll:!1,explicitInitialization:!1,rowHeight:25,defaultColumnWidth:80,enableAddRow:!1,leaveSpaceForNewRows:!1,editable:!1,autoEdit:!0,suppressActiveCellChangeOnEdit:!1,enableCellNavigation:!0,enableColumnReorder:!0,asyncEditorLoading:!1,asyncEditorLoadDelay:100,forceFitColumns:!1,enableAsyncPostRender:!1,asyncPostRenderDelay:50,enableAsyncPostRenderCleanup:!1,asyncPostRenderCleanupDelay:40,autoHeight:!1,editorLock:Slick.GlobalEditorLock,showHeaderRow:!1,headerRowHeight:25,createFooterRow:!1,showFooterRow:!1,footerRowHeight:25,createPreHeaderPanel:!1,showPreHeaderPanel:!1,preHeaderPanelHeight:25,showTopPanel:!1,topPanelHeight:25,formatterFactory:null,editorFactory:null,cellFlashingCssClass:\"flashing\",selectedCellCssClass:\"selected\",multiSelect:!0,enableTextSelectionOnCells:!1,dataItemColumnValueExtractor:null,fullWidthRows:!1,multiColumnSort:!1,numberedMultiColumnSort:!1,tristateMultiColumnSort:!1,sortColNumberInSeparateSpan:!1,defaultFormatter,forceSyncScrolling:!1,addNewRowCssClass:\"new-row\",preserveCopiedSelectionOnPaste:!1,showCellSelection:!0,viewportClass:null,minRowBuffer:3,emulatePagingWhenScrolling:!0,editorCellNavOnLRKeys:!1},columnDefaults={name:\"\",resizable:!0,sortable:!1,minWidth:30,rerenderOnResize:!1,headerCssClass:null,defaultSortAsc:!0,focusable:!0,selectable:!0},th,h,ph,n,cj,page=0,offset=0,vScrollDir=1,initialized=!1,$container,uid=\"slickgrid_\"+Math.round(1e6*Math.random()),self=this,$focusSink,$focusSink2,$headerScroller,$headers,$headerRow,$headerRowScroller,$headerRowSpacer,$footerRow,$footerRowScroller,$footerRowSpacer,$preHeaderPanel,$preHeaderPanelScroller,$preHeaderPanelSpacer,$topPanelScroller,$topPanel,$viewport,$canvas,$style,$boundAncestors,stylesheet,columnCssRulesL,columnCssRulesR,viewportH,viewportW,canvasWidth,viewportHasHScroll,viewportHasVScroll,headerColumnWidthDiff=0,headerColumnHeightDiff=0,cellWidthDiff=0,cellHeightDiff=0,jQueryNewWidthBehaviour=!1,absoluteColumnMinWidth,tabbingDirection=1,activePosX,activeRow,activeCell,activeCellNode=null,currentEditor=null,serializedEditorValue,editController,rowsCache={},renderedRows=0,numVisibleRows,prevScrollTop=0,scrollTop=0,lastRenderedScrollTop=0,lastRenderedScrollLeft=0,prevScrollLeft=0,scrollLeft=0,selectionModel,selectedRows=[],plugins=[],cellCssClasses={},columnsById={},sortColumns=[],columnPosLeft=[],columnPosRight=[],pagingActive=!1,pagingIsLastPage=!1,scrollThrottle=ActionThrottle(render,50),h_editorLoader=null,h_render=null,h_postrender=null,h_postrenderCleanup=null,postProcessedRows={},postProcessToRow=null,postProcessFromRow=null,postProcessedCleanupQueue=[],postProcessgroupId=0,counter_rows_rendered=0,counter_rows_removed=0,rowNodeFromLastMouseWheelEvent,zombieRowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent,cssShow={position:\"absolute\",visibility:\"hidden\",display:\"block\"},$hiddenParents,oldProps=[],columnResizeDragging=!1;function init(){if(($container=container instanceof $?container:$(container)).length<1)throw new Error(\"SlickGrid requires a valid container, \"+container+\" does not exist in the DOM.\");cacheCssForHiddenInit(),maxSupportedCssHeight=maxSupportedCssHeight||getMaxSupportedCssHeight(),options=$.extend({},defaults,options),validateAndEnforceOptions(),columnDefaults.width=options.defaultColumnWidth,columnsById={};for(var e=0;e<columns.length;e++){var o=columns[e]=$.extend({},columnDefaults,columns[e]);columnsById[o.id]=e,o.minWidth&&o.width<o.minWidth&&(o.width=o.minWidth),o.maxWidth&&o.width>o.maxWidth&&(o.width=o.maxWidth)}if(options.enableColumnReorder&&!$.fn.sortable)throw new Error(\"SlickGrid's 'enableColumnReorder = true' option requires jquery-ui.sortable module to be loaded\");editController={commitCurrentEdit,cancelCurrentEdit},$container.empty().css(\"overflow\",\"hidden\").css(\"outline\",0).addClass(uid).addClass(\"ui-widget\"),/relative|absolute|fixed/.test($container.css(\"position\"))||$container.css(\"position\",\"relative\"),$focusSink=$(\"<div tabIndex='0' hideFocus style='position:fixed;width:0;height:0;top:0;left:0;outline:0;'></div>\").appendTo($container),options.createPreHeaderPanel&&($preHeaderPanelScroller=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($container),$preHeaderPanel=$(\"<div />\").appendTo($preHeaderPanelScroller),$preHeaderPanelSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScroller),options.showPreHeaderPanel||$preHeaderPanelScroller.hide()),$headerScroller=$(\"<div class='slick-header ui-state-default' />\").appendTo($container),$headers=$(\"<div class='slick-header-columns' style='left:-1000px' />\").appendTo($headerScroller),$headerRowScroller=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($container),$headerRow=$(\"<div class='slick-headerrow-columns' />\").appendTo($headerRowScroller),$headerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScroller),$topPanelScroller=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($container),$topPanel=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScroller),options.showTopPanel||$topPanelScroller.hide(),options.showHeaderRow||$headerRowScroller.hide(),($viewport=$(\"<div class='slick-viewport' style='width:100%;overflow:auto;outline:0;position:relative;;'>\").appendTo($container)).css(\"overflow-y\",options.alwaysShowVerticalScroll?\"scroll\":options.autoHeight?\"hidden\":\"auto\"),$viewport.css(\"overflow-x\",options.forceFitColumns?\"hidden\":\"auto\"),options.viewportClass&&$viewport.toggleClass(options.viewportClass,!0),$canvas=$(\"<div class='grid-canvas' />\").appendTo($viewport),scrollbarDimensions=scrollbarDimensions||measureScrollbar(),$preHeaderPanelSpacer&&$preHeaderPanelSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headers.width(getHeadersWidth()),$headerRowSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),options.createFooterRow&&($footerRowScroller=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($container),$footerRow=$(\"<div class='slick-footerrow-columns' />\").appendTo($footerRowScroller),$footerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScroller),options.showFooterRow||$footerRowScroller.hide()),$focusSink2=$focusSink.clone().appendTo($container),options.explicitInitialization||finishInitialization()}function finishInitialization(){initialized||(initialized=!0,viewportW=parseFloat($.css($container[0],\"width\",!0)),measureCellPaddingAndBorder(),disableSelection($headers),options.enableTextSelectionOnCells||$viewport.on(\"selectstart.ui\",(function(e){return $(e.target).is(\"input,textarea\")})),updateColumnCaches(),createColumnHeaders(),setupColumnSort(),createCssRules(),resizeCanvas(),bindAncestorScrollEvents(),$container.on(\"resize.slickgrid\",resizeCanvas),$viewport.on(\"scroll\",handleScroll),$headerScroller.on(\"contextmenu\",handleHeaderContextMenu).on(\"click\",handleHeaderClick).on(\"mouseenter\",\".slick-header-column\",handleHeaderMouseEnter).on(\"mouseleave\",\".slick-header-column\",handleHeaderMouseLeave),$headerRowScroller.on(\"scroll\",handleHeaderRowScroll),options.createFooterRow&&$footerRowScroller.on(\"scroll\",handleFooterRowScroll),options.createPreHeaderPanel&&$preHeaderPanelScroller.on(\"scroll\",handlePreHeaderPanelScroll),$focusSink.add($focusSink2).on(\"keydown\",handleKeyDown),$canvas.on(\"keydown\",handleKeyDown).on(\"click\",handleClick).on(\"dblclick\",handleDblClick).on(\"contextmenu\",handleContextMenu).on(\"draginit\",handleDragInit).on(\"dragstart\",{distance:3},handleDragStart).on(\"drag\",handleDrag).on(\"dragend\",handleDragEnd).on(\"mouseenter\",\".slick-cell\",handleMouseEnter).on(\"mouseleave\",\".slick-cell\",handleMouseLeave),navigator.userAgent.toLowerCase().match(/webkit/)&&navigator.userAgent.toLowerCase().match(/macintosh/)&&$canvas.on(\"mousewheel\",handleMouseWheel),restoreCssFromHiddenInit())}function cacheCssForHiddenInit(){($hiddenParents=$container.parents().addBack().not(\":visible\")).each((function(){var e={};for(var o in cssShow)e[o]=this.style[o],this.style[o]=cssShow[o];oldProps.push(e)}))}function restoreCssFromHiddenInit(){$hiddenParents.each((function(e){var o=oldProps[e];for(var t in cssShow)this.style[t]=o[t]}))}function registerPlugin(e){plugins.unshift(e),e.init(self)}function unregisterPlugin(e){for(var o=plugins.length;o>=0;o--)if(plugins[o]===e){plugins[o].destroy&&plugins[o].destroy(),plugins.splice(o,1);break}}function setSelectionModel(e){selectionModel&&(selectionModel.onSelectedRangesChanged.unsubscribe(handleSelectedRangesChanged),selectionModel.destroy&&selectionModel.destroy()),(selectionModel=e)&&(selectionModel.init(self),selectionModel.onSelectedRangesChanged.subscribe(handleSelectedRangesChanged))}function getSelectionModel(){return selectionModel}function getCanvasNode(){return $canvas[0]}function measureScrollbar(){var e=$('<div class=\"'+$viewport.className+'\" style=\"position:absolute; top:-10000px; left:-10000px; overflow:auto; width:100px; height:100px;\"></div>').appendTo($viewport),o=$('<div style=\"width:200px; height:200px; overflow:auto;\"></div>').appendTo(e),t={width:e[0].offsetWidth-e[0].clientWidth,height:e[0].offsetHeight-e[0].clientHeight};return o.remove(),e.remove(),t}function getColumnTotalWidth(e){for(var o=0,t=0,l=columns.length;t<l;t++){o+=columns[t].width}return e&&(o+=scrollbarDimensions.width),o}function getHeadersWidth(){var e=getColumnTotalWidth(!options.autoHeight);return Math.max(e,viewportW)+1e3}function getCanvasWidth(){for(var e=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,o=0,t=columns.length;t--;)o+=columns[t].width;return options.fullWidthRows?Math.max(o,e):o}function updateCanvasWidth(e){var o=canvasWidth;(canvasWidth=getCanvasWidth())!=o&&($canvas.width(canvasWidth),$headerRow.width(canvasWidth),options.createFooterRow&&$footerRow.width(canvasWidth),options.createPreHeaderPanel&&$preHeaderPanel.width(canvasWidth),$headers.width(getHeadersWidth()),viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width);var t=canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0);$headerRowSpacer.width(t),options.createFooterRow&&$footerRowSpacer.width(t),options.createPreHeaderPanel&&$preHeaderPanelSpacer.width(t),(canvasWidth!=o||e)&&applyColumnWidths()}function disableSelection(e){e&&e.jquery&&e.attr(\"unselectable\",\"on\").css(\"MozUserSelect\",\"none\").on(\"selectstart.ui\",(function(){return!1}))}function getMaxSupportedCssHeight(){for(var e=1e6,o=navigator.userAgent.toLowerCase().match(/firefox/)?6e6:1e9,t=$(\"<div style='display:none' />\").appendTo(document.body);;){var l=2*e;if(t.css(\"height\",l),l>o||t.height()!==l)break;e=l}return t.remove(),e}function getUID(){return uid}function getHeaderColumnWidthDiff(){return headerColumnWidthDiff}function getScrollbarDimensions(){return scrollbarDimensions}function bindAncestorScrollEvents(){for(var e=$canvas[0];(e=e.parentNode)!=document.body&&null!=e;)if(e==$viewport[0]||e.scrollWidth!=e.clientWidth||e.scrollHeight!=e.clientHeight){var o=$(e);$boundAncestors=$boundAncestors?$boundAncestors.add(o):o,o.on(\"scroll.\"+uid,handleActiveCellPositionChange)}}function unbindAncestorScrollEvents(){$boundAncestors&&($boundAncestors.off(\"scroll.\"+uid),$boundAncestors=null)}function updateColumnHeader(e,o,t){if(initialized){var l=getColumnIndex(e);if(null!=l){var n=columns[l],r=$headers.children().eq(l);r&&(void 0!==o&&(columns[l].name=o),void 0!==t&&(columns[l].toolTip=t),trigger(self.onBeforeHeaderCellDestroy,{node:r[0],column:n,grid:self}),r.attr(\"title\",t||\"\").children().eq(0).html(o),trigger(self.onHeaderCellRendered,{node:r[0],column:n,grid:self}))}}}function getHeader(){return $headers[0]}function getHeaderColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headers.children().eq(o);return t&&t[0]}function getHeaderRow(){return $headerRow[0]}function getFooterRow(){return $footerRow[0]}function getPreHeaderPanel(){return $preHeaderPanel[0]}function getHeaderRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headerRow.children().eq(o);return t&&t[0]}function getFooterRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$footerRow.children().eq(o);return t&&t[0]}function createColumnHeaders(){function e(){$(this).addClass(\"ui-state-hover\")}function o(){$(this).removeClass(\"ui-state-hover\")}$headers.find(\".slick-header-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderCellDestroy,{node:this,column:e,grid:self})})),$headers.empty(),$headers.width(getHeadersWidth()),$headerRow.find(\".slick-headerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderRowCellDestroy,{node:this,column:e,grid:self})})),$headerRow.empty(),options.createFooterRow&&($footerRow.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e})})),$footerRow.empty());for(var t=0;t<columns.length;t++){var l=columns[t],n=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+l.name+\"</span>\").width(l.width-headerColumnWidthDiff).attr(\"id\",\"\"+uid+l.id).attr(\"title\",l.toolTip||\"\").data(\"column\",l).addClass(l.headerCssClass||\"\").appendTo($headers);if((options.enableColumnReorder||l.sortable)&&n.on(\"mouseenter\",e).on(\"mouseleave\",o),l.sortable&&(n.addClass(\"slick-header-sortable\"),n.append(\"<span class='slick-sort-indicator\"+(options.numberedMultiColumnSort&&!options.sortColNumberInSeparateSpan?\" slick-sort-indicator-numbered\":\"\")+\"' />\"),options.numberedMultiColumnSort&&options.sortColNumberInSeparateSpan&&n.append(\"<span class='slick-sort-indicator-numbered' />\")),trigger(self.onHeaderCellRendered,{node:n[0],column:l,grid:self}),options.showHeaderRow){var r=$(\"<div class='ui-state-default slick-headerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($headerRow);trigger(self.onHeaderRowCellRendered,{node:r[0],column:l,grid:self})}if(options.createFooterRow&&options.showFooterRow){var i=$(\"<div class='ui-state-default slick-footerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($footerRow);trigger(self.onFooterRowCellRendered,{node:i[0],column:l})}}setSortColumns(sortColumns),setupColumnResize(),options.enableColumnReorder&&(\"function\"==typeof options.enableColumnReorder?options.enableColumnReorder(self,$headers,headerColumnWidthDiff,setColumns,setupColumnResize,columns,getColumnIndex,uid,trigger):setupColumnReorder())}function setupColumnSort(){$headers.click((function(e){if(!columnResizeDragging&&(e.metaKey=e.metaKey||e.ctrlKey,!$(e.target).hasClass(\"slick-resizable-handle\"))){var o=$(e.target).closest(\".slick-header-column\");if(o.length){var t=o.data(\"column\");if(t.sortable){if(!getEditorLock().commitCurrentEdit())return;for(var l=null,n=0;n<sortColumns.length;n++)if(sortColumns[n].columnId==t.id){(l=sortColumns[n]).sortAsc=!l.sortAsc;break}var r=!!l;options.tristateMultiColumnSort?(l||(l={columnId:t.id,sortAsc:t.defaultSortAsc}),r&&l.sortAsc&&(sortColumns.splice(n,1),l=null),options.multiColumnSort||(sortColumns=[]),!l||r&&options.multiColumnSort||sortColumns.push(l)):e.metaKey&&options.multiColumnSort?l&&sortColumns.splice(n,1):((e.shiftKey||e.metaKey)&&options.multiColumnSort||(sortColumns=[]),l?0==sortColumns.length&&sortColumns.push(l):(l={columnId:t.id,sortAsc:t.defaultSortAsc},sortColumns.push(l))),setSortColumns(sortColumns),options.multiColumnSort?trigger(self.onSort,{multiColumnSort:!0,sortCols:$.map(sortColumns,(function(e){return{sortCol:columns[getColumnIndex(e.columnId)],sortAsc:e.sortAsc}}))},e):trigger(self.onSort,{multiColumnSort:!1,sortCol:sortColumns.length>0?t:null,sortAsc:!(sortColumns.length>0)||sortColumns[0].sortAsc},e)}}}}))}function setupColumnReorder(){$headers.filter(\":ui-sortable\").sortable(\"destroy\"),$headers.sortable({containment:\"parent\",distance:3,axis:\"x\",cursor:\"default\",tolerance:\"intersection\",helper:\"clone\",placeholder:\"slick-sortable-placeholder ui-state-default slick-header-column\",start:function(e,o){o.placeholder.width(o.helper.outerWidth()-headerColumnWidthDiff),$(o.helper).addClass(\"slick-header-column-active\")},beforeStop:function(e,o){$(o.helper).removeClass(\"slick-header-column-active\")},stop:function(e){if(getEditorLock().commitCurrentEdit()){for(var o=$headers.sortable(\"toArray\"),t=[],l=0;l<o.length;l++)t.push(columns[getColumnIndex(o[l].replace(uid,\"\"))]);setColumns(t),trigger(self.onColumnsReordered,{}),e.stopPropagation(),setupColumnResize()}else $(this).sortable(\"cancel\")}})}function setupColumnResize(){var e,o,t,l,n,r,i,s;(l=$headers.children()).find(\".slick-resizable-handle\").remove(),l.each((function(e,o){e>=columns.length||columns[e].resizable&&(void 0===i&&(i=e),s=e)})),void 0!==i&&l.each((function(a,c){a>=columns.length||a<i||options.forceFitColumns&&a>=s||($(c),$(\"<div class='slick-resizable-handle' />\").appendTo(c).on(\"dragstart\",(function(i,s){if(!getEditorLock().commitCurrentEdit())return!1;t=i.pageX,$(this).parent().addClass(\"slick-header-column-active\");var c=null,d=null;if(l.each((function(e,o){e>=columns.length||(columns[e].previousWidth=$(o).outerWidth())})),options.forceFitColumns)for(c=0,d=0,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(null!==d&&(o.maxWidth?d+=o.maxWidth-o.previousWidth:d=null),c+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));var u=0,h=0;for(e=0;e<=a;e++)(o=columns[e]).resizable&&(null!==h&&(o.maxWidth?h+=o.maxWidth-o.previousWidth:h=null),u+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));null===c&&(c=1e5),null===u&&(u=1e5),null===d&&(d=1e5),null===h&&(h=1e5),r=t+Math.min(c,h),n=t-Math.min(u,d)})).on(\"drag\",(function(l,i){columnResizeDragging=!0;var s,c,d=Math.min(r,Math.max(n,l.pageX))-t;if(d<0){for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0))}else{for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0))}applyColumnHeaderWidths(),options.syncColumnCellResize&&applyColumnWidths()})).on(\"dragend\",(function(t,n){var r;for($(this).parent().removeClass(\"slick-header-column-active\"),e=0;e<columns.length;e++)o=columns[e],r=$(l[e]).outerWidth(),o.previousWidth!==r&&o.rerenderOnResize&&invalidateAllRows();updateCanvasWidth(!0),render(),trigger(self.onColumnsResized,{}),setTimeout((function(){columnResizeDragging=!1}),300)})))}))}function getVBoxDelta(e){var o=0;return $.each([\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],(function(t,l){o+=parseFloat(e.css(l))||0})),o}function measureCellPaddingAndBorder(){var e,o=[\"borderLeftWidth\",\"borderRightWidth\",\"paddingLeft\",\"paddingRight\"],t=[\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],l=$.fn.jquery.split(\".\");jQueryNewWidthBehaviour=1==l[0]&&l[1]>=8||l[0]>=2,e=$(\"<div class='ui-state-default slick-header-column' style='visibility:hidden'>-</div>\").appendTo($headers),headerColumnWidthDiff=headerColumnHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){headerColumnWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){headerColumnHeightDiff+=parseFloat(e.css(t))||0}))),e.remove();var n=$(\"<div class='slick-row' />\").appendTo($canvas);e=$(\"<div class='slick-cell' id='' style='visibility:hidden'>-</div>\").appendTo(n),cellWidthDiff=cellHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){cellWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){cellHeightDiff+=parseFloat(e.css(t))||0}))),n.remove(),absoluteColumnMinWidth=Math.max(headerColumnWidthDiff,cellWidthDiff)}function createCssRules(){$style=$(\"<style type='text/css' rel='stylesheet' />\").appendTo($(\"head\"));for(var e=options.rowHeight-cellHeightDiff,o=[\".\"+uid+\" .slick-header-column { left: 1000px; }\",\".\"+uid+\" .slick-top-panel { height:\"+options.topPanelHeight+\"px; }\",\".\"+uid+\" .slick-preheader-panel { height:\"+options.preHeaderPanelHeight+\"px; }\",\".\"+uid+\" .slick-headerrow-columns { height:\"+options.headerRowHeight+\"px; }\",\".\"+uid+\" .slick-footerrow-columns { height:\"+options.footerRowHeight+\"px; }\",\".\"+uid+\" .slick-cell { height:\"+e+\"px; }\",\".\"+uid+\" .slick-row { height:\"+options.rowHeight+\"px; }\"],t=0;t<columns.length;t++)o.push(\".\"+uid+\" .l\"+t+\" { }\"),o.push(\".\"+uid+\" .r\"+t+\" { }\");$style[0].styleSheet?$style[0].styleSheet.cssText=o.join(\" \"):$style[0].appendChild(document.createTextNode(o.join(\" \")))}function getColumnCssRules(e){var o;if(!stylesheet){var t=document.styleSheets;for(o=0;o<t.length;o++)if((t[o].ownerNode||t[o].owningElement)==$style[0]){stylesheet=t[o];break}if(!stylesheet)throw new Error(\"Cannot find stylesheet.\");columnCssRulesL=[],columnCssRulesR=[];var l,n,r=stylesheet.cssRules||stylesheet.rules;for(o=0;o<r.length;o++){var i=r[o].selectorText;(l=/\\.l\\d+/.exec(i))?(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesL[n]=r[o]):(l=/\\.r\\d+/.exec(i))&&(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesR[n]=r[o])}}return{left:columnCssRulesL[e],right:columnCssRulesR[e]}}function removeCssRules(){$style.remove(),stylesheet=null}function destroy(){getEditorLock().cancelCurrentEdit(),trigger(self.onBeforeDestroy,{});for(var e=plugins.length;e--;)unregisterPlugin(plugins[e]);options.enableColumnReorder&&$headers.filter(\":ui-sortable\").sortable(\"destroy\"),unbindAncestorScrollEvents(),$container.off(\".slickgrid\"),removeCssRules(),$canvas.off(\"draginit dragstart dragend drag\"),$container.empty().removeClass(uid)}function trigger(e,o,t){return t=t||new Slick.EventData,(o=o||{}).grid=self,e.notify(o,t,self)}function getEditorLock(){return options.editorLock}function getEditController(){return editController}function getColumnIndex(e){return columnsById[e]}function autosizeColumns(){var e,o,t,l=[],n=0,r=0,i=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW;for(e=0;e<columns.length;e++)o=columns[e],l.push(o.width),r+=o.width,o.resizable&&(n+=o.width-Math.max(o.minWidth,absoluteColumnMinWidth));for(t=r;r>i&&n;){var s=(r-i)/n;for(e=0;e<columns.length&&r>i;e++){o=columns[e];var a=l[e];if(!(!o.resizable||a<=o.minWidth||a<=absoluteColumnMinWidth)){var c=Math.max(o.minWidth,absoluteColumnMinWidth),d=Math.floor(s*(a-c))||1;r-=d=Math.min(d,a-c),n-=d,l[e]-=d}}if(t<=r)break;t=r}for(t=r;r<i;){var u=i/r;for(e=0;e<columns.length&&r<i;e++){o=columns[e];var h,p=l[e];r+=h=!o.resizable||o.maxWidth<=p?0:Math.min(Math.floor(u*p)-p,o.maxWidth-p||1e6)||1,l[e]+=r<=i?h:0}if(t>=r)break;t=r}var g=!1;for(e=0;e<columns.length;e++)columns[e].rerenderOnResize&&columns[e].width!=l[e]&&(g=!0),columns[e].width=l[e];applyColumnHeaderWidths(),updateCanvasWidth(!0),trigger(self.onAutosizeColumns,{columns}),g&&(invalidateAllRows(),render())}function applyColumnHeaderWidths(){if(initialized){for(var e,o=0,t=$headers.children(),l=columns.length;o<l;o++)e=$(t[o]),jQueryNewWidthBehaviour?e.outerWidth()!==columns[o].width&&e.outerWidth(columns[o].width):e.width()!==columns[o].width-headerColumnWidthDiff&&e.width(columns[o].width-headerColumnWidthDiff);updateColumnCaches()}}function applyColumnWidths(){for(var e,o,t=0,l=0;l<columns.length;l++)e=columns[l].width,(o=getColumnCssRules(l)).left.style.left=t+\"px\",o.right.style.right=canvasWidth-t-e+\"px\",t+=columns[l].width}function setSortColumn(e,o){setSortColumns([{columnId:e,sortAsc:o}])}function setSortColumns(e){sortColumns=e;var o=options.numberedMultiColumnSort&&sortColumns.length>1,t=$headers.children();t.removeClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").removeClass(\"slick-sort-indicator-asc slick-sort-indicator-desc\"),t.find(\".slick-sort-indicator-numbered\").text(\"\"),$.each(sortColumns,(function(e,l){null==l.sortAsc&&(l.sortAsc=!0);var n=getColumnIndex(l.columnId);null!=n&&(t.eq(n).addClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").addClass(l.sortAsc?\"slick-sort-indicator-asc\":\"slick-sort-indicator-desc\"),o&&t.eq(n).find(\".slick-sort-indicator-numbered\").text(e+1))}))}function getSortColumns(){return sortColumns}function handleSelectedRangesChanged(e,o){selectedRows=[];for(var t={},l=0;l<o.length;l++)for(var n=o[l].fromRow;n<=o[l].toRow;n++){t[n]||(selectedRows.push(n),t[n]={});for(var r=o[l].fromCell;r<=o[l].toCell;r++)canCellBeSelected(n,r)&&(t[n][columns[r].id]=options.selectedCellCssClass)}setCellCssStyles(options.selectedCellCssClass,t),trigger(self.onSelectedRowsChanged,{rows:getSelectedRows()},e)}function getColumns(){return columns}function updateColumnCaches(){columnPosLeft=[],columnPosRight=[];for(var e=0,o=0,t=columns.length;o<t;o++)columnPosLeft[o]=e,columnPosRight[o]=e+columns[o].width,e+=columns[o].width}function setColumns(e){columns=e,columnsById={};for(var o=0;o<columns.length;o++){var t=columns[o]=$.extend({},columnDefaults,columns[o]);columnsById[t.id]=o,t.minWidth&&t.width<t.minWidth&&(t.width=t.minWidth),t.maxWidth&&t.width>t.maxWidth&&(t.width=t.maxWidth)}updateColumnCaches(),initialized&&(invalidateAllRows(),createColumnHeaders(),removeCssRules(),createCssRules(),resizeCanvas(),applyColumnWidths(),handleScroll())}function getOptions(){return options}function setOptions(e,o){getEditorLock().commitCurrentEdit()&&(makeActiveCellNormal(),options.enableAddRow!==e.enableAddRow&&invalidateRow(getDataLength()),options=$.extend(options,e),validateAndEnforceOptions(),$viewport.css(\"overflow-y\",options.autoHeight?\"hidden\":\"auto\"),o||render())}function validateAndEnforceOptions(){options.autoHeight&&(options.leaveSpaceForNewRows=!1)}function setData(e,o){data=e,invalidateAllRows(),updateRowCount(),o&&scrollTo(0)}function getData(){return data}function getDataLength(){return data.getLength?data.getLength():data.length}function getDataLengthIncludingAddNew(){return getDataLength()+(options.enableAddRow&&(!pagingActive||pagingIsLastPage)?1:0)}function getDataItem(e){return data.getItem?data.getItem(e):data[e]}function getTopPanel(){return $topPanel[0]}function setTopPanelVisibility(e){options.showTopPanel!=e&&(options.showTopPanel=e,e?$topPanelScroller.slideDown(\"fast\",resizeCanvas):$topPanelScroller.slideUp(\"fast\",resizeCanvas))}function setHeaderRowVisibility(e){options.showHeaderRow!=e&&(options.showHeaderRow=e,e?$headerRowScroller.slideDown(\"fast\",resizeCanvas):$headerRowScroller.slideUp(\"fast\",resizeCanvas))}function setFooterRowVisibility(e){options.showFooterRow!=e&&(options.showFooterRow=e,e?$footerRowScroller.slideDown(\"fast\",resizeCanvas):$footerRowScroller.slideUp(\"fast\",resizeCanvas))}function setPreHeaderPanelVisibility(e){options.showPreHeaderPanel!=e&&(options.showPreHeaderPanel=e,e?$preHeaderPanelScroller.slideDown(\"fast\",resizeCanvas):$preHeaderPanelScroller.slideUp(\"fast\",resizeCanvas))}function getContainerNode(){return $container.get(0)}function getRowTop(e){return options.rowHeight*e-offset}function getRowFromPosition(e){return Math.floor((e+offset)/options.rowHeight)}function scrollTo(e){e=Math.max(e,0),e=Math.min(e,th-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0));var o=offset;page=Math.min(n-1,Math.floor(e/ph));var t=e-(offset=Math.round(page*cj));offset!=o&&(cleanupRows(getVisibleRange(t)),updateRowPositions());prevScrollTop!=t&&(vScrollDir=prevScrollTop+o<t+offset?1:-1,$viewport[0].scrollTop=lastRenderedScrollTop=scrollTop=prevScrollTop=t,trigger(self.onViewportChanged,{}))}function defaultFormatter(e,o,t,l,n,r){return null==t?\"\":(t+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}function getFormatter(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e),l=t&&t.columns&&(t.columns[o.id]||t.columns[getColumnIndex(o.id)]);return l&&l.formatter||t&&t.formatter||o.formatter||options.formatterFactory&&options.formatterFactory.getFormatter(o)||options.defaultFormatter}function getEditor(e,o){var t=columns[o],l=data.getItemMetadata&&data.getItemMetadata(e),n=l&&l.columns;return n&&n[t.id]&&void 0!==n[t.id].editor?n[t.id].editor:n&&n[o]&&void 0!==n[o].editor?n[o].editor:t.editor||options.editorFactory&&options.editorFactory.getEditor(t)}function getDataItemValueForColumn(e,o){return options.dataItemColumnValueExtractor?options.dataItemColumnValueExtractor(e,o):e[o.field]}function appendRowHtml(e,o,t,l){var n=getDataItem(o),r=\"slick-row\"+(o<l&&!n?\" loading\":\"\")+(o===activeRow&&options.showCellSelection?\" active\":\"\")+(o%2==1?\" odd\":\" even\");n||(r+=\" \"+options.addNewRowCssClass);var i,s,a=data.getItemMetadata&&data.getItemMetadata(o);a&&a.cssClasses&&(r+=\" \"+a.cssClasses),e.push(\"<div class='ui-widget-content \"+r+\"' style='top:\"+getRowTop(o)+\"px'>\");for(var c=0,d=columns.length;c<d;c++){if(s=columns[c],i=1,a&&a.columns){var u=a.columns[s.id]||a.columns[c];\"*\"===(i=u&&u.colspan||1)&&(i=d-c)}if(columnPosRight[Math.min(d-1,c+i-1)]>t.leftPx){if(columnPosLeft[c]>t.rightPx)break;appendCellHtml(e,o,c,i,n)}i>1&&(c+=i-1)}e.push(\"</div>\")}function appendCellHtml(e,o,t,l,n){var r=columns[t],i=\"slick-cell l\"+t+\" r\"+Math.min(columns.length-1,t+l-1)+(r.cssClass?\" \"+r.cssClass:\"\");for(var s in o===activeRow&&t===activeCell&&options.showCellSelection&&(i+=\" active\"),cellCssClasses)cellCssClasses[s][o]&&cellCssClasses[s][o][r.id]&&(i+=\" \"+cellCssClasses[s][o][r.id]);var a=null,c=\"\";n&&(a=getDataItemValueForColumn(n,r),null==(c=getFormatter(o,r)(o,t,a,r,n,self))&&(c=\"\"));var d=trigger(self.onBeforeAppendCell,{row:o,cell:t,value:a,dataContext:n})||\"\";d+=c&&c.addClasses?(d?\" \":\"\")+c.addClasses:\"\",e.push(\"<div class='\"+i+(d?\" \"+d:\"\")+\"'>\"),n&&e.push(\"[object Object]\"!==Object.prototype.toString.call(c)?c:c.text),e.push(\"</div>\"),rowsCache[o].cellRenderQueue.push(t),rowsCache[o].cellColSpans[t]=l}function cleanupRows(e){for(var o in rowsCache)(o=parseInt(o,10))!==activeRow&&(o<e.top||o>e.bottom)&&removeRowFromCache(o);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function invalidate(){updateRowCount(),invalidateAllRows(),render()}function invalidateAllRows(){for(var e in currentEditor&&makeActiveCellNormal(),rowsCache)removeRowFromCache(e);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function queuePostProcessedRowForCleanup(e,o,t){for(var l in postProcessgroupId++,o)o.hasOwnProperty(l)&&postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e.cellNodesByColumnIdx[0|l],columnIdx:0|l,rowIdx:t});postProcessedCleanupQueue.push({actionType:\"R\",groupId:postProcessgroupId,node:e.rowNode}),$(e.rowNode).detach()}function queuePostProcessedCellForCleanup(e,o,t){postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e,columnIdx:o,rowIdx:t}),$(e).detach()}function removeRowFromCache(e){var o=rowsCache[e];o&&(o.rowNode&&(rowNodeFromLastMouseWheelEvent===o.rowNode?(o.rowNode.style.display=\"none\",zombieRowNodeFromLastMouseWheelEvent=rowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent=o,zombieRowPostProcessedFromLastMouseWheelEvent=postProcessedRows[e]):options.enableAsyncPostRenderCleanup&&postProcessedRows[e]?queuePostProcessedRowForCleanup(o,postProcessedRows[e],e):$canvas[0].removeChild(o.rowNode)),delete rowsCache[e],delete postProcessedRows[e],renderedRows--,counter_rows_removed++)}function invalidateRows(e){var o,t;if(e&&e.length){for(vScrollDir=0,t=e.length,o=0;o<t;o++)currentEditor&&activeRow===e[o]&&makeActiveCellNormal(),rowsCache[e[o]]&&removeRowFromCache(e[o]);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}}function invalidateRow(e){(e||0===e)&&invalidateRows([e])}function applyFormatResultToCellNode(e,o,t){null==e&&(e=\"\"),\"[object Object]\"===Object.prototype.toString.call(e)?(o.innerHTML=e.text,e.removeClasses&&!t&&$(o).removeClass(e.removeClasses),e.addClasses&&$(o).addClass(e.addClasses)):o.innerHTML=e}function updateCell(e,o){var t=getCellNode(e,o);if(t){var l=columns[o],n=getDataItem(e);if(currentEditor&&activeRow===e&&activeCell===o)currentEditor.loadValue(n);else applyFormatResultToCellNode(n?getFormatter(e,l)(e,o,getDataItemValueForColumn(n,l),l,n,self):\"\",t),invalidatePostProcessingResults(e)}}function updateRow(e){var o=rowsCache[e];if(o){ensureCellNodesInRowsCache(e);var t=getDataItem(e);for(var l in o.cellNodesByColumnIdx)if(o.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=o.cellNodesByColumnIdx[l];e===activeRow&&l===activeCell&&currentEditor?currentEditor.loadValue(t):t?applyFormatResultToCellNode(getFormatter(e,n)(e,l,getDataItemValueForColumn(t,n),n,t,self),r):r.innerHTML=\"\"}invalidatePostProcessingResults(e)}}function getViewportHeight(){return parseFloat($.css($container[0],\"height\",!0))-parseFloat($.css($container[0],\"paddingTop\",!0))-parseFloat($.css($container[0],\"paddingBottom\",!0))-parseFloat($.css($headerScroller[0],\"height\"))-getVBoxDelta($headerScroller)-(options.showTopPanel?options.topPanelHeight+getVBoxDelta($topPanelScroller):0)-(options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0)-(options.createFooterRow&&options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0)-(options.createPreHeaderPanel&&options.showPreHeaderPanel?options.preHeaderPanelHeight+getVBoxDelta($preHeaderPanelScroller):0)}function resizeCanvas(){initialized&&(viewportH=options.autoHeight?options.rowHeight*getDataLengthIncludingAddNew():getViewportHeight(),numVisibleRows=Math.ceil(viewportH/options.rowHeight),viewportW=parseFloat($.css($container[0],\"width\",!0)),options.autoHeight||$viewport.height(viewportH),scrollbarDimensions&&scrollbarDimensions.width||(scrollbarDimensions=measureScrollbar()),options.forceFitColumns&&autosizeColumns(),updateRowCount(),handleScroll(),lastRenderedScrollLeft=-1,render())}function updatePagingStatusFromView(e){pagingActive=0!==e.pageSize,pagingIsLastPage=e.pageNum==e.totalPages-1}function updateRowCount(){if(initialized){var e=getDataLength(),o=getDataLengthIncludingAddNew()+(options.leaveSpaceForNewRows?numVisibleRows-1:0),t=viewportHasVScroll;viewportHasVScroll=options.alwaysShowVerticalScroll||!options.autoHeight&&o*options.rowHeight>viewportH,viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width,makeActiveCellNormal();var l=e-1;for(var r in rowsCache)r>l&&removeRowFromCache(r);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup(),activeCellNode&&activeRow>l&&resetActiveCell();var i=h;(th=Math.max(options.rowHeight*o,viewportH-scrollbarDimensions.height))<maxSupportedCssHeight?(h=ph=th,n=1,cj=0):(ph=(h=maxSupportedCssHeight)/100,n=Math.floor(th/ph),cj=(th-h)/(n-1)),h!==i&&($canvas.css(\"height\",h),scrollTop=$viewport[0].scrollTop);var s=scrollTop+offset<=th-viewportH;0==th||0==scrollTop?page=offset=0:scrollTo(s?scrollTop+offset:th-viewportH),h!=i&&options.autoHeight&&resizeCanvas(),options.forceFitColumns&&t!=viewportHasVScroll&&autosizeColumns(),updateCanvasWidth(!1)}}function getVisibleRange(e,o){return null==e&&(e=scrollTop),null==o&&(o=scrollLeft),{top:getRowFromPosition(e),bottom:getRowFromPosition(e+viewportH)+1,leftPx:o,rightPx:o+viewportW}}function getRenderedRange(e,o){var t=getVisibleRange(e,o),l=Math.round(viewportH/options.rowHeight),n=options.minRowBuffer;return-1==vScrollDir?(t.top-=l,t.bottom+=n):1==vScrollDir?(t.top-=n,t.bottom+=l):(t.top-=n,t.bottom+=n),t.top=Math.max(0,t.top),t.bottom=Math.min(getDataLengthIncludingAddNew()-1,t.bottom),t.leftPx-=viewportW,t.rightPx+=viewportW,t.leftPx=Math.max(0,t.leftPx),t.rightPx=Math.min(canvasWidth,t.rightPx),t}function ensureCellNodesInRowsCache(e){var o=rowsCache[e];if(o&&o.cellRenderQueue.length)for(var t=o.rowNode.lastChild;o.cellRenderQueue.length;){var l=o.cellRenderQueue.pop();o.cellNodesByColumnIdx[l]=t,t=t.previousSibling}}function cleanUpCells(e,o){var t,l,n=rowsCache[o],r=[];for(var i in n.cellNodesByColumnIdx)if(n.cellNodesByColumnIdx.hasOwnProperty(i)){i|=0;var s=n.cellColSpans[i];(columnPosLeft[i]>e.rightPx||columnPosRight[Math.min(columns.length-1,i+s-1)]<e.leftPx)&&(o==activeRow&&i==activeCell||r.push(i))}for(postProcessgroupId++;null!=(t=r.pop());)l=n.cellNodesByColumnIdx[t],options.enableAsyncPostRenderCleanup&&postProcessedRows[o]&&postProcessedRows[o][t]?queuePostProcessedCellForCleanup(l,t,o):n.rowNode.removeChild(l),delete n.cellColSpans[t],delete n.cellNodesByColumnIdx[t],postProcessedRows[o]&&delete postProcessedRows[o][t]}function cleanUpAndRenderCells(e){for(var o,t,l,n=[],r=[],i=e.top,s=e.bottom;i<=s;i++)if(o=rowsCache[i]){ensureCellNodesInRowsCache(i),cleanUpCells(e,i),t=0;var a=data.getItemMetadata&&data.getItemMetadata(i);a=a&&a.columns;for(var c=getDataItem(i),d=0,u=columns.length;d<u&&!(columnPosLeft[d]>e.rightPx);d++)if(null==(l=o.cellColSpans[d])){if(l=1,a){var h=a[columns[d].id]||a[d];\"*\"===(l=h&&h.colspan||1)&&(l=u-d)}columnPosRight[Math.min(u-1,d+l-1)]>e.leftPx&&(appendCellHtml(n,i,d,l,c),t++),d+=l>1?l-1:0}else d+=l>1?l-1:0;t&&(t,r.push(i))}if(n.length){var p,g,m=document.createElement(\"div\");for(m.innerHTML=n.join(\"\");null!=(p=r.pop());){var v;for(o=rowsCache[p];null!=(v=o.cellRenderQueue.pop());)g=m.lastChild,o.rowNode.appendChild(g),o.cellNodesByColumnIdx[v]=g}}}function renderRows(e){for(var o=$canvas[0],t=[],l=[],n=!1,r=getDataLength(),i=e.top,s=e.bottom;i<=s;i++)rowsCache[i]||(renderedRows++,l.push(i),rowsCache[i]={rowNode:null,cellColSpans:[],cellNodesByColumnIdx:[],cellRenderQueue:[]},appendRowHtml(t,i,e,r),activeCellNode&&activeRow===i&&(n=!0),counter_rows_rendered++);if(l.length){var a=document.createElement(\"div\");a.innerHTML=t.join(\"\");for(i=0,s=l.length;i<s;i++)rowsCache[l[i]].rowNode=o.appendChild(a.firstChild);n&&(activeCellNode=getCellNode(activeRow,activeCell))}}function startPostProcessing(){options.enableAsyncPostRender&&(clearTimeout(h_postrender),h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}function startPostProcessingCleanup(){options.enableAsyncPostRenderCleanup&&(clearTimeout(h_postrenderCleanup),h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay))}function invalidatePostProcessingResults(e){for(var o in postProcessedRows[e])postProcessedRows[e].hasOwnProperty(o)&&(postProcessedRows[e][o]=\"C\");postProcessFromRow=Math.min(postProcessFromRow,e),postProcessToRow=Math.max(postProcessToRow,e),startPostProcessing()}function updateRowPositions(){for(var e in rowsCache)rowsCache[e].rowNode.style.top=getRowTop(e)+\"px\"}function render(){if(initialized){scrollThrottle.dequeue();var e=getVisibleRange(),o=getRenderedRange();cleanupRows(o),lastRenderedScrollLeft!=scrollLeft&&cleanUpAndRenderCells(o),renderRows(o),postProcessFromRow=e.top,postProcessToRow=Math.min(getDataLengthIncludingAddNew()-1,e.bottom),startPostProcessing(),lastRenderedScrollTop=scrollTop,lastRenderedScrollLeft=scrollLeft,h_render=null,trigger(self.onRendered,{startRow:e.top,endRow:e.bottom,grid:self})}}function handleHeaderScroll(){handleElementScroll($headerScroller[0])}function handleHeaderRowScroll(){handleElementScroll($headerRowScroller[0])}function handleFooterRowScroll(){handleElementScroll($footerRowScroller[0])}function handlePreHeaderPanelScroll(){handleElementScroll($preHeaderPanelScroller[0])}function handleElementScroll(e){var o=e.scrollLeft;o!=$viewport[0].scrollLeft&&($viewport[0].scrollLeft=o)}function handleScroll(){scrollTop=$viewport[0].scrollTop,scrollLeft=$viewport[0].scrollLeft;var e=Math.abs(scrollTop-prevScrollTop),o=Math.abs(scrollLeft-prevScrollLeft);if(o&&(prevScrollLeft=scrollLeft,$headerScroller[0].scrollLeft=scrollLeft,$topPanelScroller[0].scrollLeft=scrollLeft,$headerRowScroller[0].scrollLeft=scrollLeft,options.createFooterRow&&($footerRowScroller[0].scrollLeft=scrollLeft),options.createPreHeaderPanel&&($preHeaderPanelScroller[0].scrollLeft=scrollLeft)),e)if(vScrollDir=prevScrollTop<scrollTop?1:-1,prevScrollTop=scrollTop,e<viewportH)scrollTo(scrollTop+offset);else{var t=offset;page=h==viewportH?0:Math.min(n-1,Math.floor(scrollTop*((th-viewportH)/(h-viewportH))*(1/ph))),t!=(offset=Math.round(page*cj))&&invalidateAllRows()}if(o||e){var l=Math.abs(lastRenderedScrollLeft-scrollLeft),r=Math.abs(lastRenderedScrollTop-scrollTop);(l>20||r>20)&&(options.forceSyncScrolling||r<viewportH&&l<viewportW?render():scrollThrottle.enqueue(),trigger(self.onViewportChanged,{}))}trigger(self.onScroll,{scrollLeft,scrollTop})}function ActionThrottle(e,o){var t=!1,l=!1;function n(){l=!1}function r(){t=!0,setTimeout(i,o),e()}function i(){l?(n(),r()):t=!1}return{enqueue:function(){t?l=!0:r()},dequeue:n}}function asyncPostProcessRows(){for(var e=getDataLength();postProcessFromRow<=postProcessToRow;){var o=vScrollDir>=0?postProcessFromRow++:postProcessToRow--,t=rowsCache[o];if(t&&!(o>=e)){for(var l in postProcessedRows[o]||(postProcessedRows[o]={}),ensureCellNodesInRowsCache(o),t.cellNodesByColumnIdx)if(t.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=postProcessedRows[o][l];if(n.asyncPostRender&&\"R\"!==r){var i=t.cellNodesByColumnIdx[l];i&&n.asyncPostRender(i,o,getDataItem(o),n,\"C\"===r),postProcessedRows[o][l]=\"R\"}}return void(h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}}}function asyncPostProcessCleanupRows(){if(postProcessedCleanupQueue.length>0){for(var e=postProcessedCleanupQueue[0].groupId;postProcessedCleanupQueue.length>0&&postProcessedCleanupQueue[0].groupId==e;){var o=postProcessedCleanupQueue.shift();if(\"R\"==o.actionType&&$(o.node).remove(),\"C\"==o.actionType){var t=columns[o.columnIdx];t.asyncPostRenderCleanup&&o.node&&t.asyncPostRenderCleanup(o.node,o.rowIdx,t)}}h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay)}}function updateCellCssStylesOnRenderedRows(e,o){var t,l,n,r;for(var i in rowsCache){if(r=o&&o[i],n=e&&e[i],r)for(l in r)n&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).removeClass(r[l]);if(n)for(l in n)r&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).addClass(n[l])}}function addCellCssStyles(e,o){if(cellCssClasses[e])throw new Error(\"addCellCssStyles: cell CSS hash with key '\"+e+\"' already exists.\");cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,null),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function removeCellCssStyles(e){cellCssClasses[e]&&(updateCellCssStylesOnRenderedRows(null,cellCssClasses[e]),delete cellCssClasses[e],trigger(self.onCellCssStylesChanged,{key:e,hash:null,grid:self}))}function setCellCssStyles(e,o){var t=cellCssClasses[e];cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,t),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function getCellCssStyles(e){return cellCssClasses[e]}function flashCell(e,o,t){if(t=t||100,rowsCache[e]){var l=$(getCellNode(e,o)),n=function(e){e&&setTimeout((function(){l.queue((function(){l.toggleClass(options.cellFlashingCssClass).dequeue(),n(e-1)}))}),t)};n(4)}}function handleMouseWheel(e){var o=$(e.target).closest(\".slick-row\")[0];o!=rowNodeFromLastMouseWheelEvent&&(zombieRowNodeFromLastMouseWheelEvent&&zombieRowNodeFromLastMouseWheelEvent!=o&&(options.enableAsyncPostRenderCleanup&&zombieRowPostProcessedFromLastMouseWheelEvent?queuePostProcessedRowForCleanup(zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent):$canvas[0].removeChild(zombieRowNodeFromLastMouseWheelEvent),zombieRowNodeFromLastMouseWheelEvent=null,zombieRowCacheFromLastMouseWheelEvent=null,zombieRowPostProcessedFromLastMouseWheelEvent=null,options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()),rowNodeFromLastMouseWheelEvent=o)}function handleDragInit(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragInit,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDragStart(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragStart,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDrag(e,o){return trigger(self.onDrag,o,e)}function handleDragEnd(e,o){trigger(self.onDragEnd,o,e)}function handleKeyDown(e){trigger(self.onKeyDown,{row:activeRow,cell:activeCell},e);var o=e.isImmediatePropagationStopped(),t=Slick.keyCode;if(!o&&!e.shiftKey&&!e.altKey){if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;e.which==t.HOME?o=e.ctrlKey?navigateTop():navigateRowStart():e.which==t.END&&(o=e.ctrlKey?navigateBottom():navigateRowEnd())}if(!o)if(e.shiftKey||e.altKey||e.ctrlKey)e.which!=t.TAB||!e.shiftKey||e.ctrlKey||e.altKey||(o=navigatePrev());else{if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;if(e.which==t.ESCAPE){if(!getEditorLock().isActive())return;cancelEditAndSetFocus()}else e.which==t.PAGE_DOWN?(navigatePageDown(),o=!0):e.which==t.PAGE_UP?(navigatePageUp(),o=!0):e.which==t.LEFT?o=navigateLeft():e.which==t.RIGHT?o=navigateRight():e.which==t.UP?o=navigateUp():e.which==t.DOWN?o=navigateDown():e.which==t.TAB?o=navigateNext():e.which==t.ENTER&&(options.editable&&(currentEditor?activeRow===getDataLength()?navigateDown():commitEditAndSetFocus():getEditorLock().commitCurrentEdit()&&makeActiveCellEditable(void 0,void 0,e)),o=!0)}if(o){e.stopPropagation(),e.preventDefault();try{e.originalEvent.keyCode=0}catch(e){}}}function handleClick(e){currentEditor||(e.target!=document.activeElement||$(e.target).hasClass(\"slick-cell\"))&&setFocus();var o=getCellFromEvent(e);if(o&&(null===currentEditor||activeRow!=o.row||activeCell!=o.cell)&&(trigger(self.onClick,{row:o.row,cell:o.cell},e),!e.isImmediatePropagationStopped()&&canCellBeActive(o.row,o.cell)&&(!getEditorLock().isActive()||getEditorLock().commitCurrentEdit()))){scrollRowIntoView(o.row,!1);var t=e.target&&e.target.className===Slick.preClickClassName,l=columns[o.cell],n=!!(options.editable&&l&&l.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(getCellNode(o.row,o.cell),null,t,n,e)}}function handleContextMenu(e){var o=$(e.target).closest(\".slick-cell\",$canvas);0!==o.length&&(activeCellNode===o[0]&&null!==currentEditor||trigger(self.onContextMenu,{},e))}function handleDblClick(e){var o=getCellFromEvent(e);!o||null!==currentEditor&&activeRow==o.row&&activeCell==o.cell||(trigger(self.onDblClick,{row:o.row,cell:o.cell},e),e.isImmediatePropagationStopped()||options.editable&&gotoCell(o.row,o.cell,!0,e))}function handleHeaderMouseEnter(e){trigger(self.onHeaderMouseEnter,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderMouseLeave(e){trigger(self.onHeaderMouseLeave,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderContextMenu(e){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");trigger(self.onHeaderContextMenu,{column:t},e)}function handleHeaderClick(e){if(!columnResizeDragging){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");t&&trigger(self.onHeaderClick,{column:t},e)}}function handleMouseEnter(e){trigger(self.onMouseEnter,{},e)}function handleMouseLeave(e){trigger(self.onMouseLeave,{},e)}function cellExists(e,o){return!(e<0||e>=getDataLength()||o<0||o>=columns.length)}function getCellFromPoint(e,o){for(var t=getRowFromPosition(o),l=0,n=0,r=0;r<columns.length&&n<e;r++)n+=columns[r].width,l++;return l<0&&(l=0),{row:t,cell:l-1}}function getCellFromNode(e){var o=/l\\d+/.exec(e.className);if(!o)throw new Error(\"getCellFromNode: cannot get cell - \"+e.className);return parseInt(o[0].substr(1,o[0].length-1),10)}function getRowFromNode(e){for(var o in rowsCache)if(rowsCache[o].rowNode===e)return 0|o;return null}function getCellFromEvent(e){var o=$(e.target).closest(\".slick-cell\",$canvas);if(!o.length)return null;var t=getRowFromNode(o[0].parentNode),l=getCellFromNode(o[0]);return null==t||null==l?null:{row:t,cell:l}}function getCellNodeBox(e,o){if(!cellExists(e,o))return null;for(var t=getRowTop(e),l=t+options.rowHeight-1,n=0,r=0;r<o;r++)n+=columns[r].width;return{top:t,left:n,bottom:l,right:n+columns[o].width}}function resetActiveCell(){setActiveCellInternal(null,!1)}function setFocus(){-1==tabbingDirection?$focusSink[0].focus():$focusSink2[0].focus()}function scrollCellIntoView(e,o,t){scrollRowIntoView(e,t);var l=getColspan(e,o);internalScrollColumnIntoView(columnPosLeft[o],columnPosRight[o+(l>1?l-1:0)])}function internalScrollColumnIntoView(e,o){var t=scrollLeft+viewportW;e<scrollLeft?($viewport.scrollLeft(e),handleScroll(),render()):o>t&&($viewport.scrollLeft(Math.min(e,o-$viewport[0].clientWidth)),handleScroll(),render())}function scrollColumnIntoView(e){internalScrollColumnIntoView(columnPosLeft[e],columnPosRight[e])}function setActiveCellInternal(e,o,t,l,n){null!==activeCellNode&&(makeActiveCellNormal(),$(activeCellNode).removeClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).removeClass(\"active\"));null!=(activeCellNode=e)?(activeRow=getRowFromNode(activeCellNode.parentNode),activeCell=activePosX=getCellFromNode(activeCellNode),null==o&&(o=activeRow==getDataLength()||options.autoEdit),options.showCellSelection&&($(activeCellNode).addClass(\"active\"),$(rowsCache[activeRow].rowNode).addClass(\"active\")),options.editable&&o&&isCellPotentiallyEditable(activeRow,activeCell)&&(clearTimeout(h_editorLoader),options.asyncEditorLoading?h_editorLoader=setTimeout((function(){makeActiveCellEditable(void 0,t,n)}),options.asyncEditorLoadDelay):makeActiveCellEditable(void 0,t,n))):activeRow=activeCell=null,l||trigger(self.onActiveCellChanged,getActiveCell())}function clearTextSelection(){if(document.selection&&document.selection.empty)try{document.selection.empty()}catch(e){}else if(window.getSelection){var e=window.getSelection();e&&e.removeAllRanges&&e.removeAllRanges()}}function isCellPotentiallyEditable(e,o){var t=getDataLength();return!(e<t&&!getDataItem(e))&&(!(columns[o].cannotTriggerInsert&&e>=t)&&!!getEditor(e,o))}function makeActiveCellNormal(){if(currentEditor){if(trigger(self.onBeforeCellEditorDestroy,{editor:currentEditor}),currentEditor.destroy(),currentEditor=null,activeCellNode){var e=getDataItem(activeRow);if($(activeCellNode).removeClass(\"editable invalid\"),e){var o=columns[activeCell];applyFormatResultToCellNode(getFormatter(activeRow,o)(activeRow,activeCell,getDataItemValueForColumn(e,o),o,e,self),activeCellNode),invalidatePostProcessingResults(activeRow)}}navigator.userAgent.toLowerCase().match(/msie/)&&clearTextSelection(),getEditorLock().deactivate(editController)}}function makeActiveCellEditable(e,o,t){if(activeCellNode){if(!options.editable)throw new Error(\"Grid : makeActiveCellEditable : should never get called when options.editable is false\");if(clearTimeout(h_editorLoader),isCellPotentiallyEditable(activeRow,activeCell)){var l=columns[activeCell],n=getDataItem(activeRow);if(!1!==trigger(self.onBeforeEditCell,{row:activeRow,cell:activeCell,item:n,column:l})){getEditorLock().activate(editController),$(activeCellNode).addClass(\"editable\");var r=e||getEditor(activeRow,activeCell);e||r.suppressClearOnEdit||(activeCellNode.innerHTML=\"\"),currentEditor=new r({grid:self,gridPosition:absBox($container[0]),position:absBox(activeCellNode),container:activeCellNode,column:l,item:n||{},event:t,commitChanges:commitEditAndSetFocus,cancelChanges:cancelEditAndSetFocus}),n&&(currentEditor.loadValue(n),o&&currentEditor.preClick&&currentEditor.preClick()),serializedEditorValue=currentEditor.serializeValue(),currentEditor.position&&handleActiveCellPositionChange()}else setFocus()}}}function commitEditAndSetFocus(){getEditorLock().commitCurrentEdit()&&(setFocus(),options.autoEdit&&navigateDown())}function cancelEditAndSetFocus(){getEditorLock().cancelCurrentEdit()&&setFocus()}function absBox(e){var o={top:e.offsetTop,left:e.offsetLeft,bottom:0,right:0,width:$(e).outerWidth(),height:$(e).outerHeight(),visible:!0};o.bottom=o.top+o.height,o.right=o.left+o.width;for(var t=e.offsetParent;(e=e.parentNode)!=document.body&&null!=e;)o.visible&&e.scrollHeight!=e.offsetHeight&&\"visible\"!=$(e).css(\"overflowY\")&&(o.visible=o.bottom>e.scrollTop&&o.top<e.scrollTop+e.clientHeight),o.visible&&e.scrollWidth!=e.offsetWidth&&\"visible\"!=$(e).css(\"overflowX\")&&(o.visible=o.right>e.scrollLeft&&o.left<e.scrollLeft+e.clientWidth),o.left-=e.scrollLeft,o.top-=e.scrollTop,e===t&&(o.left+=e.offsetLeft,o.top+=e.offsetTop,t=e.offsetParent),o.bottom=o.top+o.height,o.right=o.left+o.width;return o}function getActiveCellPosition(){return absBox(activeCellNode)}function getGridPosition(){return absBox($container[0])}function handleActiveCellPositionChange(){if(activeCellNode&&(trigger(self.onActiveCellPositionChanged,{}),currentEditor)){var e=getActiveCellPosition();currentEditor.show&&currentEditor.hide&&(e.visible?currentEditor.show():currentEditor.hide()),currentEditor.position&&currentEditor.position(e)}}function getCellEditor(){return currentEditor}function getActiveCell(){return activeCellNode?{row:activeRow,cell:activeCell}:null}function getActiveCellNode(){return activeCellNode}function scrollRowIntoView(e,o){var t=e*options.rowHeight,l=(e+1)*options.rowHeight-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0);(e+1)*options.rowHeight>scrollTop+viewportH+offset?(scrollTo(o?t:l),render()):e*options.rowHeight<scrollTop+offset&&(scrollTo(o?l:t),render())}function scrollRowToTop(e){scrollTo(e*options.rowHeight),render()}function scrollPage(e){var o=e*numVisibleRows;if(scrollTo((getRowFromPosition(scrollTop)+o)*options.rowHeight),render(),options.enableCellNavigation&&null!=activeRow){var t=activeRow+o,l=getDataLengthIncludingAddNew();t>=l&&(t=l-1),t<0&&(t=0);for(var n=0,r=null,i=activePosX;n<=activePosX;)canCellBeActive(t,n)&&(r=n),n+=getColspan(t,n);null!==r?(setActiveCellInternal(getCellNode(t,r)),activePosX=i):resetActiveCell()}}function navigatePageDown(){scrollPage(1)}function navigatePageUp(){scrollPage(-1)}function navigateTop(){navigateToRow(0)}function navigateBottom(){navigateToRow(getDataLength()-1)}function navigateToRow(e){var o=getDataLength();if(!o)return!0;if(e<0?e=0:e>=o&&(e=o-1),scrollCellIntoView(e,0,!0),options.enableCellNavigation&&null!=activeRow){for(var t=0,l=null,n=activePosX;t<=activePosX;)canCellBeActive(e,t)&&(l=t),t+=getColspan(e,t);null!==l?(setActiveCellInternal(getCellNode(e,l)),activePosX=n):resetActiveCell()}return!0}function getColspan(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e);if(!t||!t.columns)return 1;var l=t.columns[columns[o].id]||t.columns[o],n=l&&l.colspan;return n=\"*\"===n?columns.length-o:n||1}function findFirstFocusableCell(e){for(var o=0;o<columns.length;){if(canCellBeActive(e,o))return o;o+=getColspan(e,o)}return null}function findLastFocusableCell(e){for(var o=0,t=null;o<columns.length;)canCellBeActive(e,o)&&(t=o),o+=getColspan(e,o);return t}function gotoRight(e,o,t){if(o>=columns.length)return null;do{o+=getColspan(e,o)}while(o<columns.length&&!canCellBeActive(e,o));return o<columns.length?{row:e,cell:o,posX:o}:null}function gotoLeft(e,o,t){if(o<=0)return null;var l=findFirstFocusableCell(e);if(null===l||l>=o)return null;for(var n,r={row:e,cell:l,posX:l};;){if(!(n=gotoRight(r.row,r.cell,r.posX)))return null;if(n.cell>=o)return r;r=n}}function gotoDown(e,o,t){for(var l,n=getDataLengthIncludingAddNew();;){if(++e>=n)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoUp(e,o,t){for(var l;;){if(--e<0)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoNext(e,o,t){if(null==e&&null==o&&canCellBeActive(e=o=t=0,o))return{row:e,cell:o,posX:o};var l=gotoRight(e,o,t);if(l)return l;var n=null,r=getDataLengthIncludingAddNew();for(e===r-1&&e--;++e<r;)if(null!==(n=findFirstFocusableCell(e)))return{row:e,cell:n,posX:n};return null}function gotoPrev(e,o,t){if(null==e&&null==o&&canCellBeActive(e=getDataLengthIncludingAddNew()-1,o=t=columns.length-1))return{row:e,cell:o,posX:o};for(var l,n;!l&&!(l=gotoLeft(e,o,t));){if(--e<0)return null;o=0,null!==(n=findLastFocusableCell(e))&&(l={row:e,cell:n,posX:n})}return l}function gotoRowStart(e,o,t){var l=findFirstFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function gotoRowEnd(e,o,t){var l=findLastFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function navigateRight(){return navigate(\"right\")}function navigateLeft(){return navigate(\"left\")}function navigateDown(){return navigate(\"down\")}function navigateUp(){return navigate(\"up\")}function navigateNext(){return navigate(\"next\")}function navigatePrev(){return navigate(\"prev\")}function navigateRowStart(){return navigate(\"home\")}function navigateRowEnd(){return navigate(\"end\")}function navigate(e){if(!options.enableCellNavigation)return!1;if(!activeCellNode&&\"prev\"!=e&&\"next\"!=e)return!1;if(!getEditorLock().commitCurrentEdit())return!0;setFocus();tabbingDirection={up:-1,down:1,left:-1,right:1,prev:-1,next:1,home:-1,end:1}[e];var o=(0,{up:gotoUp,down:gotoDown,left:gotoLeft,right:gotoRight,prev:gotoPrev,next:gotoNext,home:gotoRowStart,end:gotoRowEnd}[e])(activeRow,activeCell,activePosX);if(o){var t=o.row==getDataLength();return scrollCellIntoView(o.row,o.cell,!t&&options.emulatePagingWhenScrolling),setActiveCellInternal(getCellNode(o.row,o.cell)),activePosX=o.posX,!0}return setActiveCellInternal(getCellNode(activeRow,activeCell)),!1}function getCellNode(e,o){return rowsCache[e]?(ensureCellNodesInRowsCache(e),rowsCache[e].cellNodesByColumnIdx[o]):null}function setActiveCell(e,o,t,l,n){initialized&&(e>getDataLength()||e<0||o>=columns.length||o<0||options.enableCellNavigation&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t,l,n)))}function canCellBeActive(e,o){if(!options.enableCellNavigation||e>=getDataLengthIncludingAddNew()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.focusable)return!!t.focusable;var l=t&&t.columns;return l&&l[columns[o].id]&&void 0!==l[columns[o].id].focusable?!!l[columns[o].id].focusable:l&&l[o]&&void 0!==l[o].focusable?!!l[o].focusable:!!columns[o].focusable}function canCellBeSelected(e,o){if(e>=getDataLength()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.selectable)return!!t.selectable;var l=t&&t.columns&&(t.columns[columns[o].id]||t.columns[o]);return l&&void 0!==l.selectable?!!l.selectable:!!columns[o].selectable}function gotoCell(e,o,t,l){initialized&&(canCellBeActive(e,o)&&getEditorLock().commitCurrentEdit()&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t||e===getDataLength()||options.autoEdit,null,options.editable,l),currentEditor||setFocus()))}function commitCurrentEdit(){var e=getDataItem(activeRow),o=columns[activeCell];if(currentEditor){if(currentEditor.isValueChanged()){var t=currentEditor.validate();if(t.valid){if(activeRow<getDataLength()){var l={row:activeRow,cell:activeCell,editor:currentEditor,serializedValue:currentEditor.serializeValue(),prevSerializedValue:serializedEditorValue,execute:function(){this.editor.applyValue(e,this.serializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})},undo:function(){this.editor.applyValue(e,this.prevSerializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})}};options.editCommandHandler?(makeActiveCellNormal(),options.editCommandHandler(e,o,l)):(l.execute(),makeActiveCellNormal())}else{var n={};currentEditor.applyValue(n,currentEditor.serializeValue()),makeActiveCellNormal(),trigger(self.onAddNewRow,{item:n,column:o})}return!getEditorLock().isActive()}return $(activeCellNode).removeClass(\"invalid\"),$(activeCellNode).width(),$(activeCellNode).addClass(\"invalid\"),trigger(self.onValidationError,{editor:currentEditor,cellNode:activeCellNode,validationResults:t,row:activeRow,cell:activeCell,column:o}),currentEditor.focus(),!1}makeActiveCellNormal()}return!0}function cancelCurrentEdit(){return makeActiveCellNormal(),!0}function rowsToRanges(e){for(var o=[],t=columns.length-1,l=0;l<e.length;l++)o.push(new Slick.Range(e[l],0,e[l],t));return o}function getSelectedRows(){if(!selectionModel)throw new Error(\"Selection model is not set\");return selectedRows}function setSelectedRows(e){if(!selectionModel)throw new Error(\"Selection model is not set\");self&&self.getEditorLock&&!self.getEditorLock().isActive()&&selectionModel.setSelectedRanges(rowsToRanges(e))}this.debug=function(){var e=\"\";e+=\"\\ncounter_rows_rendered:  \"+counter_rows_rendered,e+=\"\\ncounter_rows_removed:  \"+counter_rows_removed,e+=\"\\nrenderedRows:  \"+renderedRows,e+=\"\\nnumVisibleRows:  \"+numVisibleRows,e+=\"\\nmaxSupportedCssHeight:  \"+maxSupportedCssHeight,e+=\"\\nn(umber of pages):  \"+n,e+=\"\\n(current) page:  \"+page,e+=\"\\npage height (ph):  \"+ph,e+=\"\\nvScrollDir:  \"+vScrollDir,alert(e)},this.eval=function(expr){return eval(expr)},$.extend(this,{slickGridVersion:\"2.3.23\",onScroll:new Slick.Event,onSort:new Slick.Event,onHeaderMouseEnter:new Slick.Event,onHeaderMouseLeave:new Slick.Event,onHeaderContextMenu:new Slick.Event,onHeaderClick:new Slick.Event,onHeaderCellRendered:new Slick.Event,onBeforeHeaderCellDestroy:new Slick.Event,onHeaderRowCellRendered:new Slick.Event,onFooterRowCellRendered:new Slick.Event,onBeforeHeaderRowCellDestroy:new Slick.Event,onBeforeFooterRowCellDestroy:new Slick.Event,onMouseEnter:new Slick.Event,onMouseLeave:new Slick.Event,onClick:new Slick.Event,onDblClick:new Slick.Event,onContextMenu:new Slick.Event,onKeyDown:new Slick.Event,onAddNewRow:new Slick.Event,onBeforeAppendCell:new Slick.Event,onValidationError:new Slick.Event,onViewportChanged:new Slick.Event,onColumnsReordered:new Slick.Event,onColumnsResized:new Slick.Event,onCellChange:new Slick.Event,onBeforeEditCell:new Slick.Event,onBeforeCellEditorDestroy:new Slick.Event,onBeforeDestroy:new Slick.Event,onActiveCellChanged:new Slick.Event,onActiveCellPositionChanged:new Slick.Event,onDragInit:new Slick.Event,onDragStart:new Slick.Event,onDrag:new Slick.Event,onDragEnd:new Slick.Event,onSelectedRowsChanged:new Slick.Event,onCellCssStylesChanged:new Slick.Event,onAutosizeColumns:new Slick.Event,onRendered:new Slick.Event,registerPlugin,unregisterPlugin,getColumns,setColumns,getColumnIndex,updateColumnHeader,setSortColumn,setSortColumns,getSortColumns,autosizeColumns,getOptions,setOptions,getData,getDataLength,getDataItem,setData,getSelectionModel,setSelectionModel,getSelectedRows,setSelectedRows,getContainerNode,updatePagingStatusFromView,render,invalidate,invalidateRow,invalidateRows,invalidateAllRows,updateCell,updateRow,getViewport:getVisibleRange,getRenderedRange,resizeCanvas,updateRowCount,scrollRowIntoView,scrollRowToTop,scrollCellIntoView,scrollColumnIntoView,getCanvasNode,getUID,getHeaderColumnWidthDiff,getScrollbarDimensions,getHeadersWidth,getCanvasWidth,focus:setFocus,scrollTo,getCellFromPoint,getCellFromEvent,getActiveCell,setActiveCell,getActiveCellNode,getActiveCellPosition,resetActiveCell,editActiveCell:makeActiveCellEditable,getCellEditor,getCellNode,getCellNodeBox,canCellBeSelected,canCellBeActive,navigatePrev,navigateNext,navigateUp,navigateDown,navigateLeft,navigateRight,navigatePageUp,navigatePageDown,navigateTop,navigateBottom,navigateRowStart,navigateRowEnd,gotoCell,getTopPanel,setTopPanelVisibility,getPreHeaderPanel,setPreHeaderPanelVisibility,getHeader,getHeaderColumn,setHeaderRowVisibility,getHeaderRow,getHeaderRowColumn,setFooterRowVisibility,getFooterRow,getFooterRowColumn,getGridPosition,flashCell,addCellCssStyles,setCellCssStyles,removeCellCssStyles,getCellCssStyles,init:finishInitialization,destroy,getEditorLock,getEditController}),init()}module.exports={Grid:SlickGrid}},\n      450: function _(t,e,a){\n      /*!\n           * jquery.event.drag - v 2.3.0\n           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n           * Open Source MIT License - http://threedubmedia.com/code/license\n           */\n      var n=t(443);n.fn.drag=function(t,e,a){var r=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==r.indexOf(\"drag\")&&(r=\"drag\"+r),a=(t==o?e:a)||{},o?this.on(r,a,o):this.trigger(r)};var r=n.event,o=r.special,i=o.drag={defaults:{which:1,distance:0,not:\":input\",handle:null,relative:!1,drop:!0,click:!1},datakey:\"dragdata\",noBubble:!0,add:function(t){var e=n.data(this,i.datakey),a=t.data||{};e.related+=1,n.each(i.defaults,(function(t,n){void 0!==a[t]&&(e[t]=a[t])}))},remove:function(){n.data(this,i.datakey).related-=1},setup:function(){if(!n.data(this,i.datakey)){var t=n.extend({related:0},i.defaults);n.data(this,i.datakey,t),r.add(this,\"touchstart mousedown\",i.init,t),this.attachEvent&&this.attachEvent(\"ondragstart\",i.dontstart)}},teardown:function(){(n.data(this,i.datakey)||{}).related||(n.removeData(this,i.datakey),r.remove(this,\"touchstart mousedown\",i.init),i.textselect(!0),this.detachEvent&&this.detachEvent(\"ondragstart\",i.dontstart))},init:function(t){if(!i.touched){var e,a=t.data;if(!(0!=t.which&&a.which>0&&t.which!=a.which)&&!n(t.target).is(a.not)&&(!a.handle||n(t.target).closest(a.handle,t.currentTarget).length)&&(i.touched=\"touchstart\"==t.type?this:null,a.propagates=1,a.mousedown=this,a.interactions=[i.interaction(this,a)],a.target=t.target,a.pageX=t.pageX,a.pageY=t.pageY,a.dragging=null,e=i.hijack(t,\"draginit\",a),a.propagates))return(e=i.flatten(e))&&e.length&&(a.interactions=[],n.each(e,(function(){a.interactions.push(i.interaction(this,a))}))),a.propagates=a.interactions.length,!1!==a.drop&&o.drop&&o.drop.handler(t,a),i.textselect(!1),i.touched?r.add(i.touched,\"touchmove touchend\",i.handler,a):r.add(document,\"mousemove mouseup\",i.handler,a),!(!i.touched||a.live)&&void 0}},interaction:function(t,e){var a=t&&t.ownerDocument&&n(t)[e.relative?\"position\":\"offset\"]()||{top:0,left:0};return{drag:t,callback:new i.callback,droppable:[],offset:a}},handler:function(t){var e=t.data;switch(t.type){case!e.dragging&&\"touchmove\":t.preventDefault();case!e.dragging&&\"mousemove\":if(Math.pow(t.pageX-e.pageX,2)+Math.pow(t.pageY-e.pageY,2)<Math.pow(e.distance,2))break;t.target=e.target,i.hijack(t,\"dragstart\",e),e.propagates&&(e.dragging=!0);case\"touchmove\":t.preventDefault();case\"mousemove\":if(e.dragging){if(i.hijack(t,\"drag\",e),e.propagates){!1!==e.drop&&o.drop&&o.drop.handler(t,e);break}t.type=\"mouseup\"}case\"touchend\":case\"mouseup\":default:i.touched?r.remove(i.touched,\"touchmove touchend\",i.handler):r.remove(document,\"mousemove mouseup\",i.handler),e.dragging&&(!1!==e.drop&&o.drop&&o.drop.handler(t,e),i.hijack(t,\"dragend\",e)),i.textselect(!0),!1===e.click&&e.dragging&&n.data(e.mousedown,\"suppress.click\",(new Date).getTime()+5),e.dragging=i.touched=!1}},hijack:function(t,e,a,o,d){if(a){var s,c,l,p={event:t.originalEvent,type:t.type},u=e.indexOf(\"drop\")?\"drag\":\"drop\",g=o||0,h=isNaN(o)?a.interactions.length:o;t.type=e;var f=function(){};t.originalEvent=new n.Event(p.event,{preventDefault:f,stopPropagation:f,stopImmediatePropagation:f}),a.results=[];do{if(c=a.interactions[g]){if(\"dragend\"!==e&&c.cancelled)continue;l=i.properties(t,a,c),c.results=[],n(d||c[u]||a.droppable).each((function(o,d){if(l.target=d,t.isPropagationStopped=function(){return!1},!1===(s=d?r.dispatch.call(d,t,l):null)?(\"drag\"==u&&(c.cancelled=!0,a.propagates-=1),\"drop\"==e&&(c[u][o]=null)):\"dropinit\"==e&&c.droppable.push(i.element(s)||d),\"dragstart\"==e&&(c.proxy=n(i.element(s)||c.drag)[0]),c.results.push(s),delete t.result,\"dropinit\"!==e)return s})),a.results[g]=i.flatten(c.results),\"dropinit\"==e&&(c.droppable=i.flatten(c.droppable)),\"dragstart\"!=e||c.cancelled||l.update()}}while(++g<h);return t.type=p.type,t.originalEvent=p.event,i.flatten(a.results)}},properties:function(t,e,a){var n=a.callback;return n.drag=a.drag,n.proxy=a.proxy||a.drag,n.startX=e.pageX,n.startY=e.pageY,n.deltaX=t.pageX-e.pageX,n.deltaY=t.pageY-e.pageY,n.originalX=a.offset.left,n.originalY=a.offset.top,n.offsetX=n.originalX+n.deltaX,n.offsetY=n.originalY+n.deltaY,n.drop=i.flatten((a.drop||[]).slice()),n.available=i.flatten((a.droppable||[]).slice()),n},element:function(t){if(t&&(t.jquery||1==t.nodeType))return t},flatten:function(t){return n.map(t,(function(t){return t&&t.jquery?n.makeArray(t):t&&t.length?i.flatten(t):t}))},textselect:function(t){n(document)[t?\"off\":\"on\"](\"selectstart\",i.dontstart).css(\"MozUserSelect\",t?\"\":\"none\"),document.unselectable=t?\"off\":\"on\"},dontstart:function(){return!1},callback:function(){}};i.callback.prototype={update:function(){o.drop&&this.available.length&&n.each(this.available,(function(t){o.drop.locate(this,t)}))}};var d=r.dispatch;r.dispatch=function(t){if(!(n.data(this,\"suppress.\"+t.type)-(new Date).getTime()>0))return d.apply(this,arguments);n.removeData(this,\"suppress.\"+t.type)},o.draginit=o.dragstart=o.dragend=i},\n      451: function _(t,e,a){\n      /*!\n           * jquery.event.drop - v 2.3.0\n           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n           * Open Source MIT License - http://threedubmedia.com/code/license\n           */\n      var n=t(443);n.fn.drop=function(t,e,a){var i=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==i.indexOf(\"drop\")&&(i=\"drop\"+i),a=(t==o?e:a)||{},o?this.on(i,a,o):this.trigger(i)},n.drop=function(t){t=t||{},o.multi=!0===t.multi?1/0:!1===t.multi?1:isNaN(t.multi)?o.multi:t.multi,o.delay=t.delay||o.delay,o.tolerance=n.isFunction(t.tolerance)?t.tolerance:null===t.tolerance?null:o.tolerance,o.mode=t.mode||o.mode||\"intersect\"};var i=n.event.special,o=n.event.special.drop={multi:1,delay:20,mode:\"overlap\",targets:[],datakey:\"dropdata\",noBubble:!0,add:function(t){n.data(this,o.datakey).related+=1},remove:function(){n.data(this,o.datakey).related-=1},setup:function(){if(!n.data(this,o.datakey)){n.data(this,o.datakey,{related:0,active:[],anyactive:0,winner:0,location:{}}),o.targets.push(this)}},teardown:function(){if(!(n.data(this,o.datakey)||{}).related){n.removeData(this,o.datakey);var t=this;o.targets=n.grep(o.targets,(function(e){return e!==t}))}},handler:function(t,e){var a;if(e)switch(t.type){case\"mousedown\":case\"touchstart\":a=n(o.targets),\"string\"==typeof e.drop&&(a=a.filter(e.drop)),a.each((function(){var t=n.data(this,o.datakey);t.active=[],t.anyactive=0,t.winner=0})),e.droppable=a,i.drag.hijack(t,\"dropinit\",e);break;case\"mousemove\":case\"touchmove\":o.event=t,o.timer||o.tolerate(e);break;case\"mouseup\":case\"touchend\":o.timer=clearTimeout(o.timer),e.propagates&&(i.drag.hijack(t,\"drop\",e),i.drag.hijack(t,\"dropend\",e))}},locate:function(t,e){var a=n.data(t,o.datakey),i=n(t),r=i.offset()||{},d=i.outerHeight(),l=i.outerWidth(),c={elem:t,width:l,height:d,top:r.top,left:r.left,right:r.left+l,bottom:r.top+d};return a&&(a.location=c,a.index=e,a.elem=t),c},contains:function(t,e){return(e[0]||e.left)>=t.left&&(e[0]||e.right)<=t.right&&(e[1]||e.top)>=t.top&&(e[1]||e.bottom)<=t.bottom},modes:{intersect:function(t,e,a){return this.contains(a,[t.pageX,t.pageY])?1e9:this.modes.overlap.apply(this,arguments)},overlap:function(t,e,a){return Math.max(0,Math.min(a.bottom,e.bottom)-Math.max(a.top,e.top))*Math.max(0,Math.min(a.right,e.right)-Math.max(a.left,e.left))},fit:function(t,e,a){return this.contains(a,e)?1:0},middle:function(t,e,a){return this.contains(a,[e.left+.5*e.width,e.top+.5*e.height])?1:0}},sort:function(t,e){return e.winner-t.winner||t.index-e.index},tolerate:function(t){var 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i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}function a(e){var t=this.selectionStart,i=this.value.length;(e.keyCode===n.ui.keyCode.LEFT&&t>0||e.keyCode===n.ui.keyCode.RIGHT&&t<i-1)&&e.stopImmediatePropagation()}function s(e){e.keyCode!==n.ui.keyCode.LEFT&&e.keyCode!==n.ui.keyCode.RIGHT||e.stopImmediatePropagation()}l.DefaultDecimalPlaces=null,l.AllowEmptyValue=!1,t.exports={Editors:{Text:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.getValue=function(){return t.val()},this.setValue=function(e){t.val(e)},this.loadValue=function(n){i=n[e.column.field]||\"\",t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Integer:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid integer\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Float:l,Date:function(e){var t,i,o=!1;this.init=function(){(t=n(\"<INPUT type=text class='editor-text' />\")).appendTo(e.container),t.focus().select(),t.datepicker({showOn:\"button\",buttonImageOnly:!0,beforeShow:function(){o=!0},onClose:function(){o=!1}}),t.width(t.width()-18)},this.destroy=function(){n.datepicker.dpDiv.stop(!0,!0),t.datepicker(\"hide\"),t.datepicker(\"destroy\"),t.remove()},this.show=function(){o&&n.datepicker.dpDiv.stop(!0,!0).show()},this.hide=function(){o&&n.datepicker.dpDiv.stop(!0,!0).hide()},this.position=function(e){o&&n.datepicker.dpDiv.css(\"top\",e.top+30).css(\"left\",e.left)},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},YesNoSelect:function(e){var t,i;this.init=function(){(t=n(\"<SELECT tabIndex='0' class='editor-yesno'><OPTION value='yes'>Yes</OPTION><OPTION value='no'>No</OPTION></SELECT>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){t.val((i=n[e.column.field])?\"yes\":\"no\"),t.select()},this.serializeValue=function(){return\"yes\"==t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return t.val()!=i},this.validate=function(){return{valid:!0,msg:null}},this.init()},Checkbox:function(e){var t,i;this.init=function(){(t=n(\"<INPUT type=checkbox value='true' class='editor-checkbox' hideFocus>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){(i=!!n[e.column.field])?t.prop(\"checked\",!0):t.prop(\"checked\",!1)},this.preClick=function(){t.prop(\"checked\",!t.prop(\"checked\"))},this.serializeValue=function(){return t.prop(\"checked\")},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return this.serializeValue()!==i},this.validate=function(){return{valid:!0,msg:null}},this.init()},PercentComplete:function(e){var t,i,o;this.init=function(){(t=n(\"<INPUT type=text class='editor-percentcomplete' />\")).width(n(e.container).innerWidth()-25),t.appendTo(e.container),(i=n(\"<div class='editor-percentcomplete-picker' />\").appendTo(e.container)).append(\"<div class='editor-percentcomplete-helper'><div class='editor-percentcomplete-wrapper'><div class='editor-percentcomplete-slider' /><div class='editor-percentcomplete-buttons' /></div></div>\"),i.find(\".editor-percentcomplete-buttons\").append(\"<button val=0>Not started</button><br/><button val=50>In Progress</button><br/><button val=100>Complete</button>\"),t.focus().select(),i.find(\".editor-percentcomplete-slider\").slider({orientation:\"vertical\",range:\"min\",value:o,slide:function(e,i){t.val(i.value)}}),i.find(\".editor-percentcomplete-buttons button\").on(\"click\",(function(e){t.val(n(this).attr(\"val\")),i.find(\".editor-percentcomplete-slider\").slider(\"value\",n(this).attr(\"val\"))}))},this.destroy=function(){t.remove(),i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(o=i[e.column.field]),t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==o)&&(parseInt(t.val(),10)||0)!=o},this.validate=function(){return isNaN(parseInt(t.val(),10))?{valid:!1,msg:\"Please enter a valid positive number\"}:{valid:!0,msg:null}},this.init()},LongText:function(e){var t,i,l,a=this;this.init=function(){var o=n(\"body\");e.grid.getOptions().editorCellNavOnLRKeys;i=n(\"<DIV style='z-index:10000;position:absolute;background:white;padding:5px;border:3px solid gray; -moz-border-radius:10px; border-radius:10px;'/>\").appendTo(o),t=n(\"<TEXTAREA hidefocus rows=5 style='background:white;width:250px;height:80px;border:0;outline:0'>\").appendTo(i),n(\"<DIV style='text-align:right'><BUTTON>Save</BUTTON><BUTTON>Cancel</BUTTON></DIV>\").appendTo(i),i.find(\"button:first\").on(\"click\",this.save),i.find(\"button:last\").on(\"click\",this.cancel),t.on(\"keydown\",this.handleKeyDown),a.position(e.position),t.focus().select()},this.handleKeyDown=function(t){if(t.which==o.keyCode.ENTER&&t.ctrlKey)a.save();else if(t.which==o.keyCode.ESCAPE)t.preventDefault(),a.cancel();else if(t.which==o.keyCode.TAB&&t.shiftKey)t.preventDefault(),e.grid.navigatePrev();else if(t.which==o.keyCode.TAB)t.preventDefault(),e.grid.navigateNext();else if((t.which==n.ui.keyCode.LEFT||t.which==n.ui.keyCode.RIGHT)&&e.grid.getOptions().editorCellNavOnLRKeys){var i=this.selectionStart,l=this.value.length;t.keyCode===n.ui.keyCode.LEFT&&0===i&&e.grid.navigatePrev(),t.keyCode===n.ui.keyCode.RIGHT&&i>=l-1&&e.grid.navigateNext()}},this.save=function(){e.commitChanges()},this.cancel=function(){t.val(l),e.cancelChanges()},this.hide=function(){i.hide()},this.show=function(){i.show()},this.position=function(e){i.css(\"top\",e.top-5).css(\"left\",e.left-5)},this.destroy=function(){i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(l=i[e.column.field]),t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==l)&&t.val()!=l},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}}}},\n      454: function _(e,n,r){e(445);n.exports={Formatters:{PercentComplete:function(e,n,r,t,c){return null==r||\"\"===r?\"-\":r<50?\"<span style='color:red;font-weight:bold;'>\"+r+\"%</span>\":\"<span style='color:green'>\"+r+\"%</span>\"},PercentCompleteBar:function(e,n,r,t,c){return null==r||\"\"===r?\"\":\"<span class='percent-complete-bar' style='background:\"+(r<30?\"red\":r<70?\"silver\":\"green\")+\";width:\"+r+\"%'></span>\"},YesNo:function(e,n,r,t,c){return r?\"Yes\":\"No\"},Checkmark:function(e,n,r,t,c){return r?\"<img src='../images/tick.png'>\":\"\"},Checkbox:function(e,n,r,t,c){return'<img class=\"slick-edit-preclick\" src=\"../images/'+(r?\"CheckboxY\":\"CheckboxN\")+'.png\">'}}}},\n      455: function _(t,o,r){var e=t(443),n=t(445);o.exports={RemoteModel:function(){var t={length:0},o=\"\",r=null,a=1,l=null,i=null,s=new n.Event,u=new n.Event;function f(){for(var o in t)delete t[o];t.length=0}function c(n,f){if(i){i.abort();for(var c=i.fromPage;c<=i.toPage;c++)t[50*c]=void 0}n<0&&(n=0),t.length>0&&(f=Math.min(f,t.length-1));for(var d=Math.floor(n/50),v=Math.floor(f/50);void 0!==t[50*d]&&d<v;)d++;for(;void 0!==t[50*v]&&d<v;)v--;if(d>v||d==v&&void 0!==t[50*d])u.notify({from:n,to:f});else{var m=\"http://octopart.com/api/v3/parts/search?apikey=68b25f31&include[]=short_description&show[]=uid&show[]=manufacturer&show[]=mpn&show[]=brand&show[]=octopart_url&show[]=short_description&q=\"+o+\"&start=\"+50*d+\"&limit=\"+(50*(v-d)+50);null!=r&&(m+=\"&sortby=\"+r+(a>0?\"+asc\":\"+desc\")),null!=l&&clearTimeout(l),l=setTimeout((function(){for(var o=d;o<=v;o++)t[50*o]=null;s.notify({from:n,to:f}),(i=e.jsonp({url:m,callbackParameter:\"callback\",cache:!0,success:h,error:function(){!function(t,o){alert(\"error loading pages \"+t+\" to \"+o)}(d,v)}})).fromPage=d,i.toPage=v}),50)}}function h(o){var r=o.request.start,e=r+o.results.length;t.length=Math.min(parseInt(o.hits),1e3);for(var n=0;n<o.results.length;n++){var a=o.results[n].item;t[r+n]=a,t[r+n].index=r+n}i=null,u.notify({from:r,to:e})}return{data:t,clear:f,isDataLoaded:function(o,r){for(var e=o;e<=r;e++)if(null==t[e]||null==t[e])return!1;return!0},ensureData:c,reloadData:function(o,r){for(var e=o;e<=r;e++)delete t[e];c(o,r)},setSort:function(t,o){r=t,a=o,f()},setSearch:function(t){o=t,f()},onDataLoading:s,onDataLoaded:u}}}},\n      456: function _(e,s,t){var a=e(443),o=e(445);s.exports={GroupItemMetadataProvider:function(e){var s,t={checkboxSelect:!1,checkboxSelectCssClass:\"slick-group-select-checkbox\",checkboxSelectPlugin:null,groupCssClass:\"slick-group\",groupTitleCssClass:\"slick-group-title\",totalsCssClass:\"slick-group-totals\",groupFocusable:!0,totalsFocusable:!1,toggleCssClass:\"slick-group-toggle\",toggleExpandedCssClass:\"expanded\",toggleCollapsedCssClass:\"collapsed\",enableExpandCollapse:!0,groupFormatter:function(s,t,a,o,l,c){if(!e.enableExpandCollapse)return l.title;var r=15*l.level+\"px\";return(e.checkboxSelect?'<span class=\"'+e.checkboxSelectCssClass+\" \"+(l.selectChecked?\"checked\":\"unchecked\")+'\"></span>':\"\")+\"<span class='\"+e.toggleCssClass+\" \"+(l.collapsed?e.toggleCollapsedCssClass:e.toggleExpandedCssClass)+\"' style='margin-left:\"+r+\"'></span><span class='\"+e.groupTitleCssClass+\"' level='\"+l.level+\"'>\"+l.title+\"</span>\"},totalsFormatter:function(e,s,t,a,o,l){return a.groupTotalsFormatter&&a.groupTotalsFormatter(o,a,l)||\"\"}};function l(t,l){var c=a(t.target),r=this.getDataItem(l.row);if(r&&r instanceof o.Group&&c.hasClass(e.toggleCssClass)){var n=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:n.top,ignoreDiffsAfter:n.bottom+1}),r.collapsed?this.getData().expandGroup(r.groupingKey):this.getData().collapseGroup(r.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}if(r&&r instanceof o.Group&&c.hasClass(e.checkboxSelectCssClass)){r.selectChecked=!r.selectChecked,c.removeClass(r.selectChecked?\"unchecked\":\"checked\"),c.addClass(r.selectChecked?\"checked\":\"unchecked\");var i=s.getData().mapItemsToRows(r.rows);(r.selectChecked?e.checkboxSelectPlugin.selectRows:e.checkboxSelectPlugin.deSelectRows)(i)}}function c(t,a){if(e.enableExpandCollapse&&t.which==o.keyCode.SPACE){var l=this.getActiveCell();if(l){var c=this.getDataItem(l.row);if(c&&c instanceof o.Group){var r=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:r.top,ignoreDiffsAfter:r.bottom+1}),c.collapsed?this.getData().expandGroup(c.groupingKey):this.getData().collapseGroup(c.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}}}}return e=a.extend(!0,{},t,e),{init:function(e){(s=e).onClick.subscribe(l),s.onKeyDown.subscribe(c)},destroy:function(){s&&(s.onClick.unsubscribe(l),s.onKeyDown.unsubscribe(c))},getGroupRowMetadata:function(s){return{selectable:!1,focusable:e.groupFocusable,cssClasses:e.groupCssClass,columns:{0:{colspan:\"*\",formatter:e.groupFormatter,editor:null}}}},getTotalsRowMetadata:function(s){return{selectable:!1,focusable:e.totalsFocusable,cssClasses:e.totalsCssClass,formatter:e.totalsFormatter,editor:null}}}}}},\n      457: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),n=e(458),c=e(98),a=s.__importStar(e(18));class o extends n.Widget{constructor(e){super(e)}static init_TableWidget(){this.define({source:[a.Instance],view:[a.Instance,()=>new c.CDSView]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.source,this.view.compute_indices())}}t.TableWidget=o,o.__name__=\"TableWidget\",o.init_TableWidget()},\n      458: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(249),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n      459: function _(e,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_data_table=\"bk-data-table\",b.bk_cell_index=\"bk-cell-index\",b.bk_header_index=\"bk-header-index\",b.bk_cell_editor=\"bk-cell-editor\",b.bk_cell_select=\"bk-cell-select\"},\n      460: function _(A,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default='\\n.bk-root {\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /* Menu button */\\n  /* Menu */\\n  /* Menu items */\\n  /* Disabled */\\n}\\n.bk-root .slick-header.ui-state-default,\\n.bk-root .slick-headerrow.ui-state-default,\\n.bk-root .slick-footerrow.ui-state-default,\\n.bk-root .slick-top-panel-scroller.ui-state-default {\\n  width: 100%;\\n  overflow: auto;\\n  position: relative;\\n  border-left: 0px !important;\\n}\\n.bk-root .slick-header.ui-state-default {\\n  overflow: inherit;\\n}\\n.bk-root .slick-header::-webkit-scrollbar,\\n.bk-root .slick-headerrow::-webkit-scrollbar,\\n.bk-root .slick-footerrow::-webkit-scrollbar {\\n  display: none;\\n}\\n.bk-root .slick-header-columns,\\n.bk-root .slick-headerrow-columns,\\n.bk-root .slick-footerrow-columns {\\n  position: relative;\\n  white-space: nowrap;\\n  cursor: default;\\n  overflow: hidden;\\n}\\n.bk-root .slick-header-column.ui-state-default {\\n  position: relative;\\n  display: inline-block;\\n  box-sizing: content-box !important;\\n  /* this here only for Firefox! */\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  height: 16px;\\n  line-height: 16px;\\n  margin: 0;\\n  padding: 4px;\\n  border-right: 1px solid silver;\\n  border-left: 0px !important;\\n  border-top: 0px !important;\\n  border-bottom: 0px !important;\\n  float: left;\\n}\\n.bk-root .slick-headerrow-column.ui-state-default,\\n.bk-root .slick-footerrow-column.ui-state-default {\\n  padding: 4px;\\n}\\n.bk-root .slick-header-column-sorted {\\n  font-style: italic;\\n}\\n.bk-root .slick-sort-indicator {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 6px;\\n  float: left;\\n}\\n.bk-root .slick-sort-indicator-numbered {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 0;\\n  line-height: 20px;\\n  float: left;\\n  font-family: Arial;\\n  font-style: normal;\\n  font-weight: bold;\\n  color: #6190CD;\\n}\\n.bk-root .slick-sort-indicator-desc {\\n  background: url(images/sort-desc.gif);\\n}\\n.bk-root .slick-sort-indicator-asc {\\n  background: url(images/sort-asc.gif);\\n}\\n.bk-root .slick-resizable-handle {\\n  position: absolute;\\n  font-size: 0.1px;\\n  display: block;\\n  cursor: col-resize;\\n  width: 9px;\\n  right: -5px;\\n  top: 0;\\n  height: 100%;\\n  z-index: 1;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver;\\n}\\n.bk-root .grid-canvas {\\n  position: relative;\\n  outline: 0;\\n}\\n.bk-root .slick-row.ui-widget-content,\\n.bk-root .slick-row.ui-state-active {\\n  position: absolute;\\n  border: 0px;\\n  width: 100%;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column,\\n.bk-root .slick-footerrow-column {\\n  position: absolute;\\n  border: 1px solid transparent;\\n  border-right: 1px dotted silver;\\n  border-bottom-color: silver;\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  vertical-align: middle;\\n  z-index: 1;\\n  padding: 1px 2px 2px 1px;\\n  margin: 0;\\n  white-space: nowrap;\\n  cursor: default;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column {\\n  border-bottom-color: silver;\\n}\\n.bk-root .slick-footerrow-column {\\n  border-top-color: silver;\\n}\\n.bk-root .slick-group-toggle {\\n  display: inline-block;\\n}\\n.bk-root .slick-cell.highlighted {\\n  background: lightskyblue;\\n  background: rgba(0, 0, 255, 0.2);\\n  -webkit-transition: all 0.5s;\\n  -moz-transition: all 0.5s;\\n  -o-transition: all 0.5s;\\n  transition: all 0.5s;\\n}\\n.bk-root .slick-cell.flashing {\\n  border: 1px solid red !important;\\n}\\n.bk-root .slick-cell.editable {\\n  z-index: 11;\\n  overflow: visible;\\n  background: white;\\n  border-color: black;\\n  border-style: solid;\\n}\\n.bk-root .slick-cell:focus {\\n  outline: none;\\n}\\n.bk-root .slick-reorder-proxy {\\n  display: inline-block;\\n  background: blue;\\n  opacity: 0.15;\\n  cursor: move;\\n}\\n.bk-root .slick-reorder-guide {\\n  display: inline-block;\\n  height: 2px;\\n  background: blue;\\n  opacity: 0.7;\\n}\\n.bk-root .slick-selection {\\n  z-index: 10;\\n  position: absolute;\\n  border: 2px dashed black;\\n}\\n.bk-root .slick-header-columns {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-bottom: 1px solid silver;\\n}\\n.bk-root .slick-header-column {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-right: 1px solid silver;\\n}\\n.bk-root .slick-header-column:hover,\\n.bk-root .slick-header-column-active {\\n  background: white url(\\'images/header-columns-over-bg.gif\\') repeat-x center bottom;\\n}\\n.bk-root .slick-headerrow {\\n  background: #fafafa;\\n}\\n.bk-root .slick-headerrow-column {\\n  background: #fafafa;\\n  border-bottom: 0;\\n  height: 100%;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row {\\n  position: absolute;\\n  background: white;\\n  border: 0px;\\n  line-height: 20px;\\n}\\n.bk-root .slick-row.selected {\\n  z-index: 10;\\n  background: #DFE8F6;\\n}\\n.bk-root .slick-cell {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .slick-group {\\n  border-bottom: 2px solid silver;\\n}\\n.bk-root .slick-group-toggle {\\n  width: 9px;\\n  height: 9px;\\n  margin-right: 5px;\\n}\\n.bk-root .slick-group-toggle.expanded {\\n  background: url(images/collapse.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-toggle.collapsed {\\n  background: url(images/expand.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-totals {\\n  color: gray;\\n  background: white;\\n}\\n.bk-root .slick-group-select-checkbox {\\n  width: 13px;\\n  height: 13px;\\n  margin: 3px 10px 0 0;\\n  display: inline-block;\\n}\\n.bk-root .slick-group-select-checkbox.checked {\\n  background: url(images/GrpCheckboxY.png) no-repeat center center;\\n}\\n.bk-root .slick-group-select-checkbox.unchecked {\\n  background: url(images/GrpCheckboxN.png) no-repeat center center;\\n}\\n.bk-root .slick-cell.selected {\\n  background-color: beige;\\n}\\n.bk-root .slick-cell.active {\\n  border-color: gray;\\n  border-style: solid;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver !important;\\n}\\n.bk-root .slick-row.odd {\\n  background: #fafafa;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row.loading {\\n  opacity: 0.5;\\n}\\n.bk-root .slick-cell.invalid {\\n  border-color: red;\\n  -moz-animation-duration: 0.2s;\\n  -webkit-animation-duration: 0.2s;\\n  -moz-animation-name: slickgrid-invalid-hilite;\\n  -webkit-animation-name: slickgrid-invalid-hilite;\\n}\\n@-moz-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n@-webkit-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n.bk-root .slick-column-name,\\n.bk-root .slick-sort-indicator {\\n  /**\\n   * This makes all \"float:right\" elements after it that spill over to the next line\\n   * display way below the lower boundary of the column thus hiding them.\\n   */\\n  display: inline-block;\\n  float: left;\\n  margin-bottom: 100px;\\n}\\n.bk-root .slick-header-button {\\n  display: inline-block;\\n  float: right;\\n  vertical-align: top;\\n  margin: 1px;\\n  /**\\n  * This makes all \"float:right\" elements after it that spill over to the next line\\n  * display way below the lower boundary of the column thus hiding them.\\n  */\\n  margin-bottom: 100px;\\n  height: 15px;\\n  width: 15px;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-button-hidden {\\n  width: 0;\\n  -webkit-transition: 0.2s width;\\n  -ms-transition: 0.2s width;\\n  transition: 0.2s width;\\n}\\n.bk-root .slick-header-column:hover > .slick-header-button {\\n  width: 15px;\\n}\\n.bk-root .slick-header-menubutton {\\n  position: absolute;\\n  right: 0;\\n  top: 0;\\n  bottom: 0;\\n  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border: 1px solid gray;\\n  border-top: 0;\\n  background: url(\\'../images/header-columns-bg.gif\\') repeat-x center bottom;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-status {\\n  display: inline-block;\\n  padding: 6px;\\n}\\n.bk-root .slick-pager .ui-icon-container {\\n  display: inline-block;\\n  margin: 2px;\\n  border-color: gray;\\n}\\n.bk-root .slick-pager .slick-pager-nav {\\n  display: inline-block;\\n  float: left;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings {\\n  display: block;\\n  float: right;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings * {\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-settings a {\\n  padding: 2px;\\n  text-decoration: underline;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-columns {\\n  background-image: 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o.source=\"function(\"+(n.variable||\"obj\")+\"){\\n\"+c+\"}\",o},e.exports=p},\n      465: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),o=t(462),n=t(440),l=r.__importStar(t(18)),a=t(24),d=t(71);class s extends d.Model{constructor(t){super(t)}static init_TableColumn(){this.define({field:[l.String],title:[l.String],width:[l.Number,300],formatter:[l.Instance,()=>new o.StringFormatter],editor:[l.Instance,()=>new n.StringEditor],sortable:[l.Boolean,!0],default_sort:[l.Sort,\"ascending\"]})}toColumn(){var t;return{id:a.uniqueId(),field:this.field,name:null!==(t=this.title)&&void 0!==t?t:this.field,width:this.width,formatter:null!=this.formatter?this.formatter.doFormat.bind(this.formatter):void 0,model:this.editor,editor:this.editor.default_view,sortable:this.sortable,defaultSortAsc:\"ascending\"==this.default_sort}}}i.TableColumn=s,s.__name__=\"TableColumn\",s.init_TableColumn()},\n      466: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=t(1),a=t(448),{Avg:i,Min:o,Max:g,Sum:n}=a.Data.Aggregators,u=r.__importStar(t(18)),c=t(71);class _ extends c.Model{constructor(t){super(t)}static init_RowAggregator(){this.define({field_:[u.String,\"\"]})}}s.RowAggregator=_,_.__name__=\"RowAggregator\",_.init_RowAggregator();const l=new i;class m extends _{constructor(){super(...arguments),this.key=\"avg\",this.init=l.init,this.accumulate=l.accumulate,this.storeResult=l.storeResult}}s.AvgAggregator=m,m.__name__=\"AvgAggregator\";const h=new o;class A extends _{constructor(){super(...arguments),this.key=\"min\",this.init=h.init,this.accumulate=h.accumulate,this.storeResult=h.storeResult}}s.MinAggregator=A,A.__name__=\"MinAggregator\";const R=new g;class d extends _{constructor(){super(...arguments),this.key=\"max\",this.init=R.init,this.accumulate=R.accumulate,this.storeResult=R.storeResult}}s.MaxAggregator=d,d.__name__=\"MaxAggregator\";const x=new n;class w extends _{constructor(){super(...arguments),this.key=\"sum\",this.init=x.init,this.accumulate=x.accumulate,this.storeResult=x.storeResult}}s.SumAggregator=w,w.__name__=\"SumAggregator\"},\n      467: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1).__importStar(t(18)),r=t(68),i=t(448),a=t(441),n=t(71);function l(t,e,s,o,i){const{collapsed:a,level:n,title:l}=i,u=r.span({class:\"slick-group-toggle \"+(a?\"collapsed\":\"expanded\"),style:{\"margin-left\":15*n+\"px\"}}),g=r.span({class:\"slick-group-title\",level:n},l);return`${u.outerHTML}${g.outerHTML}`}function u(t,e){const s=this.getDataItem(e.row);s instanceof i.Group&&t.target.classList.contains(\"slick-group-toggle\")&&(s.collapsed?this.getData().expandGroup(s.groupingKey):this.getData().collapseGroup(s.groupingKey),t.stopImmediatePropagation(),t.preventDefault(),this.invalidate(),this.render())}class g extends n.Model{constructor(t){super(t)}static init_GroupingInfo(){this.define({getter:[o.String,\"\"],aggregators:[o.Array,[]],collapsed:[o.Boolean,!1]})}get comparer(){return(t,e)=>t.value===e.value?0:t.value>e.value?1:-1}}s.GroupingInfo=g,g.__name__=\"GroupingInfo\",g.init_GroupingInfo();class c extends a.TableDataProvider{constructor(t,e,s,o){super(t,e),this.columns=s,this.groupingInfos=[],this.groupingDelimiter=\":|:\",this.target=o}setGrouping(t){this.groupingInfos=t,this.toggledGroupsByLevel=t.map(()=>({})),this.refresh()}extractGroups(t,e){const s=[],o=new Map,r=e?e.level+1:0,{comparer:a,getter:n}=this.groupingInfos[r];return t.forEach(t=>{const a=this.source.data[n][t];let l=o.get(a);if(!l){const t=e?`${e.groupingKey}${this.groupingDelimiter}${a}`:\"\"+a;l=Object.assign(new i.Group,{value:a,level:r,groupingKey:t}),s.push(l),o.set(a,l)}l.rows.push(t)}),r<this.groupingInfos.length-1&&s.forEach(t=>{t.groups=this.extractGroups(t.rows,t)}),s.sort(a),s}calculateTotals(t,e){const s={avg:{},max:{},min:{},sum:{}},{source:{data:o}}=this,r=Object.keys(o),i=t.rows.map(t=>r.reduce((e,s)=>Object.assign(Object.assign({},e),{[s]:o[s][t]}),{}));return e.forEach(t=>{t.init(),i.forEach(e=>t.accumulate(e)),t.storeResult(s)}),s}addTotals(t,e=0){const{aggregators:s,collapsed:o}=this.groupingInfos[e],r=this.toggledGroupsByLevel[e];t.forEach(t=>{t.groups&&this.addTotals(t.groups,e+1),s.length&&t.rows.length&&(t.totals=this.calculateTotals(t,s)),t.collapsed=o!==r[t.groupingKey],t.title=t.value?\"\"+t.value:\"\"})}flattenedGroupedRows(t,e=0){const s=[];return t.forEach(t=>{if(s.push(t),!t.collapsed){const o=t.groups?this.flattenedGroupedRows(t.groups,e+1):t.rows;s.push(...o)}}),s}refresh(){const t=this.extractGroups(this.view.indices),e=this.source.data[this.columns[0].field];t.length&&(this.addTotals(t),this.rows=this.flattenedGroupedRows(t),this.target.data={row_indices:this.rows.map(t=>t instanceof i.Group?t.rows:t),labels:this.rows.map(t=>t instanceof i.Group?t.title:e[t])})}getLength(){return this.rows.length}getItem(t){const e=this.rows[t],{source:{data:s}}=this;return e instanceof i.Group?e:Object.keys(s).reduce((t,o)=>Object.assign(Object.assign({},t),{[o]:s[o][e]}),{[a.DTINDEX_NAME]:e})}getItemMetadata(t){const e=this.rows[t],s=this.columns.slice(1),o=e instanceof i.Group?this.groupingInfos[e.level].aggregators:[];return e instanceof i.Group?{selectable:!1,focusable:!1,cssClasses:\"slick-group\",columns:[{formatter:l},...s.map((function(t){const{field:e,formatter:s}=t,r=o.find(({field_:t})=>t===e);if(r){const{key:t}=r;return{formatter:(o,r,i,a,n)=>s?s(o,r,n.totals[t][e],a,n):\"\"}}return{}}))]}:{}}collapseGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=!this.groupingInfos[e].collapsed,this.refresh()}expandGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=this.groupingInfos[e].collapsed,this.refresh()}}s.DataCubeProvider=c,c.__name__=\"DataCubeProvider\";class p extends a.DataTableView{render(){const t={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:!1,forceFitColumns:this.model.fit_columns,multiColumnSort:!1,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height},e=this.model.columns.map(t=>t.toColumn());var s,o;e[0].formatter=(s=e[0].formatter,o=this.model.grouping.length,(t,e,i,a,n)=>{const l=r.span({class:\"slick-group-toggle\",style:{\"margin-left\":15*(o||0)+\"px\"}}),u=s?s(t,e,i,a,n):\"\"+i;return`${l.outerHTML}${u&&u.replace(/^<div/,\"<span\").replace(/div>$/,\"span>\")}`}),delete e[0].editor,this.data=new c(this.model.source,this.model.view,e,this.model.target),this.data.setGrouping(this.model.grouping),this.el.style.width=this.model.width+\"px\",this.grid=new i.Grid(this.el,this.data,e,t),this.grid.onClick.subscribe(u)}}s.DataCubeView=p,p.__name__=\"DataCubeView\";class h extends a.DataTable{constructor(t){super(t)}static init_DataCube(){this.prototype.default_view=p,this.define({grouping:[o.Array,[]],target:[o.Instance]})}}s.DataCube=h,h.__name__=\"DataCube\",h.init_DataCube()},\n      }, 438, {\"models/widgets/tables/main\":438,\"models/widgets/tables/index\":439,\"models/widgets/tables/cell_editors\":440,\"models/widgets/tables/data_table\":441,\"models/widgets/tables/table_widget\":457,\"models/widgets/widget\":458,\"styles/widgets/tables\":459,\"styles/widgets/slickgrid.css\":460,\"styles/widgets/tables.css\":461,\"models/widgets/tables/cell_formatters\":462,\"models/widgets/tables/table_column\":465,\"models/widgets/tables/row_aggregators\":466,\"models/widgets/tables/data_cube\":467}, {});\n      })\n\n\n      /* END bokeh-tables.min.js */\n    },\n    \n    function(Bokeh) {\n      /* BEGIN bokeh-gl.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], \"2.1.1\");\n      })(this, function(Bokeh, version) {\n        var define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      370: function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(371)},\n      371: function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);\n      /*\n          Copyright notice: many of the awesome techniques and  GLSL code contained in\n          this module are based on work by Nicolas Rougier as part of the Glumpy and\n          Vispy projects. The algorithms are published in\n          http://jcgt.org/published/0003/04/01/ and http://jcgt.org/published/0002/02/08/\n          \n          This module contains all gl-specific code to add gl support for the glyphs.\n          By implementing it separetely, the GL functionality can be spun off in a\n          separate library.\n          Other locations where we work with GL, or prepare for GL-rendering:\n          - canvas.ts\n          - plot.ts\n          - glyph.ts\n          - glyph_renderer.ts\n          */o.__exportStar(e(372),_),o.__exportStar(e(377),_)},\n      372: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(373),a=t(374),n=t(375),_=t(376),o=t(20);class h{constructor(t){this._atlas={},this._index=0,this._width=256,this._height=256,this.tex=new i.Texture2D(t),this.tex.set_wrapping(t.REPEAT,t.REPEAT),this.tex.set_interpolation(t.NEAREST,t.NEAREST),this.tex.set_size([this._height,this._width],t.RGBA),this.tex.set_data([0,0],[this._height,this._width],new Uint8Array(this._height*this._width*4)),this.get_atlas_data([1])}get_atlas_data(t){const e=t.join(\"-\");if(void 0===this._atlas[e]){const[s,i]=this.make_pattern(t);this.tex.set_data([this._index,0],[1,this._width],new Uint8Array(s.map(t=>t+10))),this._atlas[e]=[this._index/this._height,i],this._index+=1}return this._atlas[e]}make_pattern(t){t.length>1&&t.length%2&&(t=t.concat(t));let e=0;for(const s of t)e+=s;const s=[];let i=0;for(let e=0,a=t.length+2;e<a;e+=2){const a=Math.max(1e-4,t[e%t.length]),n=Math.max(1e-4,t[(e+1)%t.length]);s.push(i,i+a),i+=a+n}const a=this._width,n=new Float32Array(4*a);for(let t=0,i=a;t<i;t++){let i,_,o;const h=e*t/(a-1);let r=0,l=1e16;for(let t=0,e=s.length;t<e;t++){const e=Math.abs(s[t]-h);e<l&&(r=t,l=e)}r%2==0?(o=h<=s[r]?1:0,_=s[r],i=s[r+1]):(o=h>s[r]?-1:0,_=s[r-1],i=s[r]),n[4*t+0]=s[r],n[4*t+1]=o,n[4*t+2]=_,n[4*t+3]=i}return[n,e]}}h.__name__=\"DashAtlas\";const r={miter:0,round:1,bevel:2},l={\"\":0,none:0,\".\":0,round:1,\")\":1,\"(\":1,o:1,\"triangle in\":2,\"<\":2,\"triangle out\":3,\">\":3,square:4,\"[\":4,\"]\":4,\"=\":4,butt:5,\"|\":5};class g extends a.BaseGLGlyph{init(){const{gl:t}=this;this._scale_aspect=0;const e=n.vertex_shader,s=_.fragment_shader;this.prog=new i.Program(t),this.prog.set_shaders(e,s),this.index_buffer=new i.IndexBuffer(t),this.vbo_position=new i.VertexBuffer(t),this.vbo_tangents=new i.VertexBuffer(t),this.vbo_segment=new i.VertexBuffer(t),this.vbo_angles=new i.VertexBuffer(t),this.vbo_texcoord=new i.VertexBuffer(t),this.dash_atlas=new h(t)}draw(t,e,s){const i=e.glglyph;if(i.data_changed){if(!isFinite(s.dx)||!isFinite(s.dy))return;i._baked_offset=[s.dx,s.dy],i._set_data(),i.data_changed=!1}this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);let{sx:a,sy:n}=s;const _=Math.sqrt(a*a+n*n);a/=_,n/=_,Math.abs(this._scale_aspect-n/a)>Math.abs(.001*this._scale_aspect)&&(i._update_scale(a,n),this._scale_aspect=n/a),this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord),this.prog.set_uniform(\"u_length\",\"float\",[i.cumsum]),this.prog.set_texture(\"u_dash_atlas\",this.dash_atlas.tex);const o=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[s.dx-o[0],s.dy-o[1]]),this.prog.set_uniform(\"u_scale_aspect\",\"vec2\",[a,n]),this.prog.set_uniform(\"u_scale_length\",\"float\",[_]),this.I_triangles=i.I_triangles,this.I_triangles.length<65535)this.index_buffer.set_size(2*this.I_triangles.length),this.index_buffer.set_data(0,new Uint16Array(this.I_triangles)),this.prog.draw(this.gl.TRIANGLES,this.index_buffer);else{t=Array.from(this.I_triangles);const e=this.I_triangles.length,s=64008,a=[];for(let t=0,i=Math.ceil(e/s);t<i;t++)a.push([]);for(let e=0,i=t.length;e<i;e++){const i=t[e]%s;a[Math.floor(t[e]/s)].push(i)}for(let t=0,e=a.length;t<e;t++){const e=new Uint16Array(a[t]),n=t*s*4;0!==e.length&&(this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position,0,2*n),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents,0,4*n),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment,0,2*n),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles,0,2*n),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord,0,2*n),this.index_buffer.set_size(2*e.length),this.index_buffer.set_data(0,e),this.prog.draw(this.gl.TRIANGLES,this.index_buffer))}}}_set_data(){this._bake(),this.vbo_position.set_size(4*this.V_position.length),this.vbo_position.set_data(0,this.V_position),this.vbo_tangents.set_size(4*this.V_tangents.length),this.vbo_tangents.set_data(0,this.V_tangents),this.vbo_angles.set_size(4*this.V_angles.length),this.vbo_angles.set_data(0,this.V_angles),this.vbo_texcoord.set_size(4*this.V_texcoord.length),this.vbo_texcoord.set_data(0,this.V_texcoord)}_set_visuals(){const t=o.color2rgba(this.glyph.visuals.line.line_color.value(),this.glyph.visuals.line.line_alpha.value()),e=l[this.glyph.visuals.line.line_cap.value()],s=r[this.glyph.visuals.line.line_join.value()];this.prog.set_uniform(\"u_color\",\"vec4\",t),this.prog.set_uniform(\"u_linewidth\",\"float\",[this.glyph.visuals.line.line_width.value()]),this.prog.set_uniform(\"u_antialias\",\"float\",[.9]),this.prog.set_uniform(\"u_linecaps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_linejoin\",\"float\",[s]),this.prog.set_uniform(\"u_miter_limit\",\"float\",[10]);const i=this.glyph.visuals.line.line_dash.value();let a=0,n=1;i.length&&([a,n]=this.dash_atlas.get_atlas_data(i)),this.prog.set_uniform(\"u_dash_index\",\"float\",[a]),this.prog.set_uniform(\"u_dash_phase\",\"float\",[this.glyph.visuals.line.line_dash_offset.value()]),this.prog.set_uniform(\"u_dash_period\",\"float\",[n]),this.prog.set_uniform(\"u_dash_caps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_closed\",\"float\",[0])}_bake(){let t,e,s,i,a,n,_,o;const h=this.nvertices,r=new Float64Array(this.glyph._x),l=new Float64Array(this.glyph._y),g=_=new Float32Array(2*h),f=new Float32Array(2*h),u=o=new Float32Array(4*h);for(let t=0,e=h;t<e;t++)g[2*t+0]=r[t]+this._baked_offset[0],g[2*t+1]=l[t]+this._baked_offset[1];this.tangents=e=new Float32Array(2*h-2);for(let t=0,s=h-1;t<s;t++)e[2*t+0]=_[2*(t+1)+0]-_[2*t+0],e[2*t+1]=_[2*(t+1)+1]-_[2*t+1];for(let t=0,s=h-1;t<s;t++)u[4*(t+1)+0]=e[2*t+0],u[4*(t+1)+1]=e[2*t+1],u[4*t+2]=e[2*t+0],u[4*t+3]=e[2*t+1];u[0]=e[0],u[1]=e[1],u[4*(h-1)+2]=e[2*(h-2)+0],u[4*(h-1)+3]=e[2*(h-2)+1];const c=new Float32Array(h);for(let t=0,e=h;t<e;t++)c[t]=Math.atan2(o[4*t+0]*o[4*t+3]-o[4*t+1]*o[4*t+2],o[4*t+0]*o[4*t+2]+o[4*t+1]*o[4*t+3]);for(let t=0,e=h-1;t<e;t++)f[2*t+0]=c[t],f[2*t+1]=c[t+1];const d=4*h-4;this.V_position=i=new Float32Array(2*d),this.V_angles=s=new Float32Array(2*d),this.V_tangents=a=new Float32Array(4*d),this.V_texcoord=n=new Float32Array(2*d);for(let t=0,e=h;t<e;t++)for(let e=0;e<4;e++){for(let a=0;a<2;a++)i[2*(4*t+e-2)+a]=g[2*t+a],s[2*(4*t+e)+a]=f[2*t+a];for(let s=0;s<4;s++)a[4*(4*t+e-2)+s]=u[4*t+s]}for(let t=0,e=h;t<e;t++)n[2*(4*t+0)+0]=-1,n[2*(4*t+1)+0]=-1,n[2*(4*t+2)+0]=1,n[2*(4*t+3)+0]=1,n[2*(4*t+0)+1]=-1,n[2*(4*t+1)+1]=1,n[2*(4*t+2)+1]=-1,n[2*(4*t+3)+1]=1;const p=6*(h-1);this.I_triangles=t=new Uint32Array(p);for(let e=0,s=h;e<s;e++)t[6*e+0]=0+4*e,t[6*e+1]=1+4*e,t[6*e+2]=3+4*e,t[6*e+3]=2+4*e,t[6*e+4]=0+4*e,t[6*e+5]=3+4*e}_update_scale(t,e){let s;const i=this.nvertices,a=4*i-4,n=this.tangents,_=new Float32Array(i-1),o=new Float32Array(2*i);this.V_segment=s=new Float32Array(2*a);for(let s=0,a=i-1;s<a;s++)_[s]=Math.sqrt((n[2*s+0]*t)**2+(n[2*s+1]*e)**2);let h=0;for(let t=0,e=i-1;t<e;t++)h+=_[t],o[2*(t+1)+0]=h,o[2*t+1]=h;for(let t=0,e=i;t<e;t++)for(let e=0;e<4;e++)for(let i=0;i<2;i++)s[2*(4*t+e)+i]=o[2*t+i];this.cumsum=h,this.vbo_segment.set_size(4*this.V_segment.length),this.vbo_segment.set_data(0,this.V_segment)}}s.LineGLGlyph=g,g.__name__=\"LineGLGlyph\"},\n      373: function _(t,e,r){var n,o,i,a,s,l,h,u,c,_=function(t,e){return Array.isArray(t)&&Array.isArray(e)?t.concat(e):t+e},f=function(t,e){if(null==e);else{if(Array.isArray(e)){for(var r=0;r<e.length;r++)if(p(t,e[r]))return!0;return!1}if(e.constructor===Object){for(var n in e)if(t==n)return!0;return!1}if(e.constructor==String)return e.indexOf(t)>=0}var o=Error(\"Not a container: \"+e);throw o.name=\"TypeError\",o},p=function t(e,r){if(null==e||null==r);else{if(Array.isArray(e)&&Array.isArray(r)){for(var n=0,o=e.length==r.length;o&&n<e.length;)o=t(e[n],r[n]),n+=1;return o}if(e.constructor===Object&&r.constructor===Object){var i=Object.keys(e),a=Object.keys(r);i.sort(),a.sort();var s;for(n=0,o=t(i,a);o&&n<i.length;)o=t(e[s=i[n]],r[s]),n+=1;return o}}return e==r},d=function(t,e){if(void 0===t||\"undefined\"!=typeof window&&window===t||\"undefined\"!=typeof global&&global===t)throw\"Class constructor is called as a function.\";for(var r in t)void 0!==Object[r]||\"function\"!=typeof t[r]||t[r].nobind||(t[r]=t[r].bind(t));t.__init__&&t.__init__.apply(t,e)},y=function(t,e){if((\"number\"==typeof t)+(\"number\"==typeof e)===1){if(t.constructor===String)return A.call(t,e);if(e.constructor===String)return A.call(e,t);if(Array.isArray(e)){var r=t;t=e,e=r}if(Array.isArray(t)){for(var n=[],o=0;o<e;o++)n=n.concat(t);return n}}return t*e},g=function(t){return null===t||\"object\"!=typeof t?t:void 0!==t.length?!!t.length&&t:void 0!==t.byteLength?!!t.byteLength&&t:t.constructor!==Object||!!Object.getOwnPropertyNames(t).length&&t},v=function(t){if(!Array.isArray(this))return this.append.apply(this,arguments);this.push(t)},m=function(t,e){return this.constructor!==Object?this.get.apply(this,arguments):void 0!==this[t]?this[t]:void 0!==e?e:null},x=function(){return\"function\"==typeof this.keys?this.keys.apply(this,arguments):Object.keys(this)},b=function(t){if(this.constructor!==String)return this.lstrip.apply(this,arguments);t=void 0===t?\" \\t\\r\\n\":t;for(var e=0;e<this.length;e++)if(t.indexOf(this[e])<0)return this.slice(e);return\"\"},E=function(t){if(!Array.isArray(this))return this.remove.apply(this,arguments);for(var e=0;e<this.length;e++)if(p(this[e],t))return void this.splice(e,1);var r=Error(t);throw r.name=\"ValueError\",r},A=function(t){if(this.repeat)return this.repeat(t);if(t<1)return\"\";for(var e=\"\",r=this.valueOf();t>1;)1&t&&(e+=r),t>>=1,r+=r;return e+r},w=function(t){return this.constructor!==String?this.startswith.apply(this,arguments):0==this.indexOf(t)};c=window.console,u=function(t,e){var r,n,o,i,a,s,l;for(e=void 0===e?\"periodic check\":e,i=[];n=t.getError(),!(p(n,t.NO_ERROR)||g(i)&&p(n,i[i.length-1]));)v.call(i,n);if(i.length){for(a=\"\",\"object\"!=typeof(s=i)||Array.isArray(s)||(s=Object.keys(s)),l=0;l<s.length;l+=1)r=s[l],a=_(a,r);throw(o=new Error(\"RuntimeError:OpenGL got errors (\"+e+\"): \"+a)).name=\"RuntimeError\",o}return null},(o=function(){d(this,arguments)}).prototype._base_class=Object,o.prototype._class_name=\"GlooObject\",o.prototype.__init__=function(t){if(this._gl=t,this.handle=null,this._create(),null===this.handle)throw\"AssertionError: this.handle !== null\";return null},o.prototype._create=function(){var t;throw(t=new Error(\"NotImplementedError:\")).name=\"NotImplementedError\",t},((a=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,a.prototype._class_name=\"Program\",a.prototype.UTYPEMAP={float:\"uniform1fv\",vec2:\"uniform2fv\",vec3:\"uniform3fv\",vec4:\"uniform4fv\",int:\"uniform1iv\",ivec2:\"uniform2iv\",ivec3:\"uniform3iv\",ivec4:\"uniform4iv\",bool:\"uniform1iv\",bvec2:\"uniform2iv\",bvec3:\"uniform3iv\",bvec4:\"uniform4iv\",mat2:\"uniformMatrix2fv\",mat3:\"uniformMatrix3fv\",mat4:\"uniformMatrix4fv\",sampler1D:\"uniform1i\",sampler2D:\"uniform1i\",sampler3D:\"uniform1i\"},a.prototype.ATYPEMAP={float:\"vertexAttrib1f\",vec2:\"vertexAttrib2f\",vec3:\"vertexAttrib3f\",vec4:\"vertexAttrib4f\"},a.prototype.ATYPEINFO={float:[1,5126],vec2:[2,5126],vec3:[3,5126],vec4:[4,5126]},a.prototype._create=function(){return this.handle=this._gl.createProgram(),this.locations={},this._unset_variables=[],this._validated=!1,this._samplers={},this._attributes={},this._known_invalid=[],null},a.prototype.delete=function(){return this._gl.deleteProgram(this.handle),null},a.prototype.activate=function(){return this._gl.useProgram(this.handle),null},a.prototype.deactivate=function(){return this._gl.useProgram(0),null},a.prototype.set_shaders=function(t,e){var r,n,o,i,a,s,l,h,u,c,f,p,d;for(s=this._gl,this._linked=!1,f=[[t,d=s.createShader(s.VERTEX_SHADER),\"vertex\"],[e,a=s.createShader(s.FRAGMENT_SHADER),\"fragment\"]],h=0;h<2;h+=1)if(r=(c=f[h])[0],l=c[1],p=c[2],s.shaderSource(l,r),s.compileShader(l),u=s.getShaderParameter(l,s.COMPILE_STATUS),!g(u))throw i=s.getShaderInfoLog(l),(o=new Error(\"RuntimeError:\"+_(\"errors in \"+p+\" shader:\\n\",i))).name=\"RuntimeError\",o;if(s.attachShader(this.handle,d),s.attachShader(this.handle,a),s.linkProgram(this.handle),!g(s.getProgramParameter(this.handle,s.LINK_STATUS)))throw(n=new Error(\"RuntimeError:Program link error:\\n\"+s.getProgramInfoLog(this.handle))).name=\"RuntimeError\",n;return this._unset_variables=this._get_active_attributes_and_uniforms(),s.detachShader(this.handle,d),s.detachShader(this.handle,a),s.deleteShader(d),s.deleteShader(a),this._known_invalid=[],this._linked=!0,null},a.prototype._get_active_attributes_and_uniforms=function(){var t,e,r,n,o,i,a,s,l,h,u,c,f,p,d,y,m,x;for(s=this._gl,this.locations={},p=new window.RegExp(\"(\\\\w+)\\\\s*(\\\\[(\\\\d+)\\\\])\\\\s*\"),o=s.getProgramParameter(this.handle,s.ACTIVE_UNIFORMS),e=s.getProgramParameter(this.handle,s.ACTIVE_ATTRIBUTES),x=[],\"object\"!=typeof(y=[[t=[],e,s.getActiveAttrib,s.getAttribLocation],[x,o,s.getActiveUniform,s.getUniformLocation]])||Array.isArray(y)||(y=Object.keys(y)),m=0;m<y.length;m+=1)for(r=(d=y[m])[0],n=d[1],i=d[2],a=d[3],l=0;l<n;l+=1){if(c=(f=(h=i.call(s,this.handle,l)).name).match(p),g(c))for(f=c[1],u=0;u<h.size;u+=1)v.call(r,[f+\"[\"+u+\"]\",h.type]);else v.call(r,[f,h.type]);this.locations[f]=a.call(s,this.handle,f)}return _(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(e[0]);return o}.apply(this),function(){var t,e,r,n=[];for(\"object\"!=typeof(e=x)||Array.isArray(e)||(e=Object.keys(e)),r=0;r<e.length;r++)t=e[r],n.push(t[0]);return n}.apply(this))},a.prototype.set_texture=function(t,e){var r,n,o;if(!g(this._linked))throw(r=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",r;return n=m.call(this.locations,t,-1),g(n<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active texture\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),o=x.call(this._samplers).length,f(t,this._samplers)&&(o=this._samplers[t][this._samplers[t].length-1]),this._samplers[t]=[e._target,e.handle,o],this._gl.uniform1i(n,o),null)},a.prototype.set_uniform=function(t,e,r){var n,o,i,a,s,l,h;if(!g(this._linked))throw(i=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",i;if(s=m.call(this.locations,t,-1),g(s<0))return f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active uniform\")),null;if(f(t,this._unset_variables)&&E.call(this._unset_variables,t),o=1,w.call(e,\"mat\")||(n=m.call({int:\"float\",bool:\"float\"},e,b.call(e,\"ib\")),o=Math.floor(r.length/this.ATYPEINFO[n][0])),g(o>1))for(l=0;l<o;l+=1)f(t+\"[\"+l+\"]\",this._unset_variables)&&f(h=t+\"[\"+l+\"]\",this._unset_variables)&&E.call(this._unset_variables,h);return a=this.UTYPEMAP[e],this.activate(),w.call(e,\"mat\")?this._gl[a](s,!1,r):this._gl[a](s,r),null},a.prototype.set_attribute=function(t,e,r,n,o){var i,a,s,l,u,_;if(n=void 0===n?0:n,o=void 0===o?0:o,!g(this._linked))throw(a=new Error(\"RuntimeError:Cannot set attribute when program has no code\")).name=\"RuntimeError\",a;return u=r instanceof h,l=m.call(this.locations,t,-1),g(l<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),g(u)&&g(o>0)||c.log(\"Variable \"+t+\" is not an active attribute\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),g(u)?(s=\"vertexAttribPointer\",i=[(_=this.ATYPEINFO[e])[0],_[1],this._gl.FALSE,n,o],this._attributes[t]=[r.handle,l,s,i]):(s=this.ATYPEMAP[e],this._attributes[t]=[0,l,s,r]),null)},a.prototype._pre_draw=function(){var t,e,r,n,o,i,a,s,l,h,u,c;for(c in this.activate(),a=this._samplers)a.hasOwnProperty(c)&&(l=(i=c=a[c])[0],s=i[1],h=i[2],this._gl.activeTexture(_(this._gl.TEXTURE0,h)),this._gl.bindTexture(l,s));for(c in o=this._attributes)o.hasOwnProperty(c)&&(u=(n=c=o[c])[0],e=n[1],r=n[2],t=n[3],g(u)?(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,u),this._gl.enableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))):(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,null),this._gl.disableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))));return g(this._validated)||(this._validated=!0,this._validate()),null},a.prototype._validate=function(){var t;if(this._unset_variables.length&&c.log(\"Program has unset variables: \"+this._unset_variables),this._gl.validateProgram(this.handle),!g(this._gl.getProgramParameter(this.handle,this._gl.VALIDATE_STATUS)))throw c.log(this._gl.getProgramInfoLog(this.handle)),(t=new Error(\"RuntimeError:Program validation error\")).name=\"RuntimeError\",t;return null},a.prototype.draw=function(t,e){var r,n,o,a,s;if(!g(this._linked))throw(n=new Error(\"RuntimeError:Cannot draw program if code has not been set\")).name=\"RuntimeError\",n;return u(this._gl,\"before draw\"),g(e instanceof i)?(this._pre_draw(),e.activate(),r=e._buffer_size/2,a=this._gl.UNSIGNED_SHORT,this._gl.drawElements(t,r,a,0),e.deactivate()):(o=(s=e)[0],r=s[1],g(r)&&(this._pre_draw(),this._gl.drawArrays(t,o,r))),u(this._gl,\"after draw\"),null},((n=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,n.prototype._class_name=\"Buffer\",n.prototype._target=null,n.prototype._usage=35048,n.prototype._create=function(){return this.handle=this._gl.createBuffer(),this._buffer_size=0,null},n.prototype.delete=function(){return this._gl.deleteBuffer(this.handle),null},n.prototype.activate=function(){return this._gl.bindBuffer(this._target,this.handle),null},n.prototype.deactivate=function(){return this._gl.bindBuffer(this._target,null),null},n.prototype.set_size=function(t){return p(t,this._buffer_size)||(this.activate(),this._gl.bufferData(this._target,t,this._usage),this._buffer_size=t),null},n.prototype.set_data=function(t,e){return this.activate(),this._gl.bufferSubData(this._target,t,e),null},(h=function(){d(this,arguments)}).prototype=Object.create(n.prototype),h.prototype._base_class=n.prototype,h.prototype._class_name=\"VertexBuffer\",h.prototype._target=34962,(i=function(){d(this,arguments)}).prototype=Object.create(n.prototype),i.prototype._base_class=n.prototype,i.prototype._class_name=\"IndexBuffer\",i.prototype._target=34963,((s=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,s.prototype._class_name=\"Texture2D\",s.prototype._target=3553,s.prototype._types={Int8Array:5120,Uint8Array:5121,Int16Array:5122,Uint16Array:5123,Int32Array:5124,Uint32Array:5125,Float32Array:5126},s.prototype._create=function(){return this.handle=this._gl.createTexture(),this._shape_format=null,null},s.prototype.delete=function(){return this._gl.deleteTexture(this.handle),null},s.prototype.activate=function(){return this._gl.bindTexture(this._target,this.handle),null},s.prototype.deactivate=function(){return this._gl.bindTexture(this._target,0),null},s.prototype._get_alignment=function(t){var e,r,n;for(\"object\"!=typeof(r=[4,8,2,1])||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n+=1)if(e=r[n],p(t%e,0))return e;return null},s.prototype.set_wrapping=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_S,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_T,e),null},s.prototype.set_interpolation=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_MIN_FILTER,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_MAG_FILTER,e),null},s.prototype.set_size=function(t,e){var r,n,o;return r=(n=t)[0],o=n[1],p([r,o,e],this._shape_format)||(this._shape_format=[r,o,e],this.activate(),this._gl.texImage2D(this._target,0,e,o,r,0,e,this._gl.UNSIGNED_BYTE,null)),this.u_shape=[r,o],null},s.prototype.set_data=function(t,e,r){var n,o,i,a,s,l,h,u,c,_;if(p(e.length,2)&&(e=[e[0],e[1],1]),this.activate(),i=this._shape_format[2],s=(l=e)[0],u=l[1],l[2],_=(h=t)[0],c=h[1],null===(a=m.call(this._types,r.constructor.name,null)))throw(o=new Error(\"ValueError:Type \"+r.constructor.name+\" not allowed for texture\")).name=\"ValueError\",o;return n=this._get_alignment(y(e[e.length-2],e[e.length-1])),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,n),this._gl.texSubImage2D(this._target,0,c,_,u,s,i,a,r),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,4),null},((l=function(){d(this,arguments)}).prototype=Object.create(s.prototype))._base_class=s.prototype,l.prototype._class_name=\"Texture3DLike\",l.prototype.GLSL_SAMPLE_NEAREST=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float zindex = floor(texcoord.z * shape.z);\\n\\n            // Do a lookup in the 2D texture\\n            float u = (mod(zindex, ncols) + texcoord.x) / ncols;\\n            float v = (floor(zindex / ncols) + texcoord.y) / nrows;\\n\\n            return texture2D(tex, vec2(u,v));\\n        }\\n    \",l.prototype.GLSL_SAMPLE_LINEAR=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float z = texcoord.z * shape.z;\\n            float zindex1 = floor(z);\\n            float u1 = (mod(zindex1, ncols) + texcoord.x) / ncols;\\n            float v1 = (floor(zindex1 / ncols) + texcoord.y) / nrows;\\n\\n            float zindex2 = zindex1 + 1.0;\\n            float u2 = (mod(zindex2, ncols) + texcoord.x) / ncols;\\n            float v2 = (floor(zindex2 / ncols) + texcoord.y) / nrows;\\n\\n            vec4 s1 = texture2D(tex, vec2(u1, v1));\\n            vec4 s2 = texture2D(tex, vec2(u2, v2));\\n\\n            return s1 * (zindex2 - z) + s2 * (z - zindex1);\\n        }\\n    \",l.prototype._get_tile_info=function(t){var e,r,n,o;if(r=this._gl.getParameter(this._gl.MAX_TEXTURE_SIZE),o=Math.floor(r/t[1]),o=Math.min(o,t[0]),n=window.Math.ceil(t[0]/o),g(y(n,t[2])>r))throw(e=new Error(\"RuntimeError:Cannot fit 3D data with shape \"+t+\" onto simulated 2D texture.\")).name=\"RuntimeError\",e;return[o,n]},l.prototype.set_size=function(t,e){var r,n,o,i;return n=(i=this._get_tile_info(t))[0],r=i[1],o=[y(t[1],n),y(t[2],r)],l.prototype._base_class.set_size.call(this,o,e),this.u_shape=[t[0],t[1],t[2]],this.u_tiles=[r,n],null},l.prototype.set_data=function(t,e,r){var n,o,i,a,s,h,u,c,_,f,d,v;if(p(e.length,3)&&(e=[e[0],e[1],e[2],1]),!function(t){for(var e=0;e<t.length;e++)if(!g(t[e]))return!1;return!0}(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(p(e,0));return o}.apply(this)))throw(i=new Error(\"ValueError:Texture3DLike does not support nonzero offset (for now)\")).name=\"ValueError\",i;if(s=(c=this._get_tile_info(e))[0],a=c[1],u=[y(e[1],s),y(e[2],a),e[3]],p(a,1))l.prototype._base_class.set_data.call(this,[0,0],u,r);else for(v=new(0,r.constructor)(y(y(u[0],u[1]),u[2])),l.prototype._base_class.set_data.call(this,[0,0],u,v),d=0;d<e[0];d+=1)h=(_=[Math.floor(d/a),d%a])[0],n=_[1],o=Math.floor(r.length/e[0]),f=r.slice(y(d,o),y(d+1,o)),l.prototype._base_class.set_data.call(this,[y(h,e[1]),y(n,e[2])],e.slice(1),f);return null},e.exports={Buffer:n,GlooObject:o,IndexBuffer:i,Program:a,Texture2D:s,Texture3DLike:l,VertexBuffer:h,check_error:u,console:c}},\n      374: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(20),s=e(72);class i{constructor(e,t){this.gl=e,this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.init()}set_data_changed(e){e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,a){if(0==t.length)return!0;const[r,i,n]=[0,1,2];let l=1,h=1,[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]);if(isNaN(o[0]+o[1]+o[2]+_[0]+_[1]+_[2]))return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;if(l=100/Math.min(Math.max(Math.abs(o[1]-o[0]),1e-12),1e12),h=100/Math.min(Math.max(Math.abs(_[1]-_[0]),1e-12),1e12),[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]),Math.abs(o[1]-o[0]-(o[2]-o[1]))>1e-6||Math.abs(_[1]-_[0]-(_[2]-_[1]))>1e-6)return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;const[c,u]=[(o[1]-o[0])/l,(_[1]-_[0])/h],{width:d,height:g}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,f={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:d,height:g,dx:o[0]/c,dy:_[0]/u,sx:c,sy:u};return this.draw(t,a,f),!0}}function n(e,t){const a=new Float32Array(e);for(let r=0,s=e;r<s;r++)a[r]=t;return a}function l(e,t){return void 0!==e[t].spec.value}a.BaseGLGlyph=i,i.__name__=\"BaseGLGlyph\",a.line_width=function(e){return e<2&&(e=Math.sqrt(2*e)),e},a.fill_array_with_float=n,a.fill_array_with_vec=function(e,t,a){const r=new Float32Array(e*t);for(let s=0;s<e;s++)for(let e=0;e<t;e++)r[s*t+e]=a[e];return r},a.visual_prop_is_singular=l,a.attach_float=function(e,t,a,r,s,i){if(s.doit)if(l(s,i))t.used=!1,e.set_attribute(a,\"float\",s[i].value());else{t.used=!0;const n=new Float32Array(s.get_array(i));t.set_size(4*r),t.set_data(0,n),e.set_attribute(a,\"float\",t)}else t.used=!1,e.set_attribute(a,\"float\",[0])},a.attach_color=function(e,t,a,s,i,h){let o;const _=h+\"_color\",c=h+\"_alpha\";if(i.doit)if(l(i,_)&&l(i,c))t.used=!1,o=r.color2rgba(i[_].value(),i[c].value()),e.set_attribute(a,\"vec4\",o);else{let h,u;t.used=!0,u=l(i,_)?(()=>{const e=[];for(let t=0,a=s;t<a;t++)e.push(i[_].value());return e})():i.get_array(_),h=l(i,c)?n(s,i[c].value()):i.get_array(c);const d=new Float32Array(4*s);for(let e=0,t=s;e<t;e++){o=r.color2rgba(u[e],h[e]);for(let t=0,a=4;t<a;t++)d[4*e+t]=o[t]}t.set_size(4*s*4),t.set_data(0,d),e.set_attribute(a,\"vec4\",t)}else t.used=!1,e.set_attribute(a,\"vec4\",[0,0,0,0])}},\n      375: function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.vertex_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size, u_offset;\\nuniform vec2 u_scale_aspect;\\nuniform float u_scale_length;\\n\\nuniform vec4 u_color;\\nuniform float u_antialias;\\nuniform float u_length;\\nuniform float u_linewidth;\\nuniform float u_dash_index;\\nuniform float u_closed;\\n\\nattribute vec2 a_position;\\nattribute vec4 a_tangents;\\nattribute vec2 a_segment;\\nattribute vec2 a_angles;\\nattribute vec2 a_texcoord;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\nfloat cross(in vec2 v1, in vec2 v2)\\n{\\n    return v1.x*v2.y - v1.y*v2.x;\\n}\\n\\nfloat signed_distance(in vec2 v1, in vec2 v2, in vec2 v3)\\n{\\n    return cross(v2-v1,v1-v3) / length(v2-v1);\\n}\\n\\nvoid rotate( in vec2 v, in float alpha, out vec2 result )\\n{\\n    float c = cos(alpha);\\n    float s = sin(alpha);\\n    result = vec2( c*v.x - s*v.y,\\n                   s*v.x + c*v.y );\\n}\\n\\nvoid main()\\n{\\n    bool closed = (u_closed > 0.0);\\n\\n    // Attributes and uniforms to varyings\\n    v_color = u_color;\\n    v_linewidth = u_linewidth;\\n    v_segment = a_segment * u_scale_length;\\n    v_length = u_length * u_scale_length;\\n\\n    // Scale to map to pixel coordinates. The original algorithm from the paper\\n    // assumed isotropic scale. We obviously do not have this.\\n    vec2 abs_scale_aspect = abs(u_scale_aspect);\\n    vec2 abs_scale = u_scale_length * abs_scale_aspect;\\n\\n    // Correct angles for aspect ratio\\n    vec2 av;\\n    av = vec2(1.0, tan(a_angles.x)) / abs_scale_aspect;\\n    v_angles.x = atan(av.y, av.x);\\n    av = vec2(1.0, tan(a_angles.y)) / abs_scale_aspect;\\n    v_angles.y = atan(av.y, av.x);\\n\\n    // Thickness below 1 pixel are represented using a 1 pixel thickness\\n    // and a modified alpha\\n    v_color.a = min(v_linewidth, v_color.a);\\n    v_linewidth = max(v_linewidth, 1.0);\\n\\n    // If color is fully transparent we just will discard the fragment anyway\\n    if( v_color.a <= 0.0 ) {\\n        gl_Position = vec4(0.0,0.0,0.0,1.0);\\n        return;\\n    }\\n\\n    // This is the actual half width of the line\\n    float w = ceil(u_antialias+v_linewidth)/2.0;\\n\\n    vec2 position = (a_position + u_offset) * abs_scale;\\n\\n    vec2 t1 = normalize(a_tangents.xy * abs_scale_aspect);  // note the scaling for aspect ratio here\\n    vec2 t2 = normalize(a_tangents.zw * abs_scale_aspect);\\n    float u = a_texcoord.x;\\n    float v = a_texcoord.y;\\n    vec2 o1 = vec2( +t1.y, -t1.x);\\n    vec2 o2 = vec2( +t2.y, -t2.x);\\n\\n    // This is a join\\n    // ----------------------------------------------------------------\\n    if( t1 != t2 ) {\\n        float angle = atan (t1.x*t2.y-t1.y*t2.x, t1.x*t2.x+t1.y*t2.y);  // Angle needs recalculation for some reason\\n        vec2 t  = normalize(t1+t2);\\n        vec2 o  = vec2( + t.y, - t.x);\\n\\n        if ( u_dash_index > 0.0 )\\n        {\\n            // Broken angle\\n            // ----------------------------------------------------------------\\n            if( (abs(angle) > THETA) ) {\\n                position += v * w * o / cos(angle/2.0);\\n                float s = sign(angle);\\n                if( angle < 0.0 ) {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position -= 2.0 * w * t1 / sin(angle);\\n                            u -= 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position += 2.0 * w * t2 / sin(angle);\\n                            u += 2.0*w / sin(angle);\\n                        }\\n                    }\\n                } else {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position += 2.0 * w * t1 / sin(angle);\\n                            u += 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position -= 2.0 * w * t2 / sin(angle);\\n                            u -= 2.0*w / sin(angle);\\n                        }\\n                    }\\n                }\\n                // Continuous angle\\n                // ------------------------------------------------------------\\n            } else {\\n                position += v * w * o / cos(angle/2.0);\\n                if( u == +1.0 ) u = v_segment.y;\\n                else            u = v_segment.x;\\n            }\\n        }\\n\\n        // Solid line\\n        // --------------------------------------------------------------------\\n        else\\n        {\\n            position.xy += v * w * o / cos(angle/2.0);\\n            if( angle < 0.0 ) {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            } else {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            }\\n        }\\n\\n    // This is a line start or end (t1 == t2)\\n    // ------------------------------------------------------------------------\\n    } else {\\n        position += v * w * o1;\\n        if( u == -1.0 ) {\\n            u = v_segment.x - w;\\n            position -= w * t1;\\n        } else {\\n            u = v_segment.y + w;\\n            position += w * t2;\\n        }\\n    }\\n\\n    // Miter distance\\n    // ------------------------------------------------------------------------\\n    vec2 t;\\n    vec2 curr = a_position * abs_scale;\\n    if( a_texcoord.x < 0.0 ) {\\n        vec2 next = curr + t2*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, +v_angles.x/2.0, t);\\n        v_miter.x = signed_distance(curr, curr+t, position);\\n\\n        rotate( t2, +v_angles.y/2.0, t);\\n        v_miter.y = signed_distance(next, next+t, position);\\n    } else {\\n        vec2 prev = curr - t1*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, -v_angles.x/2.0,t);\\n        v_miter.x = signed_distance(prev, prev+t, position);\\n\\n        rotate( t2, -v_angles.y/2.0,t);\\n        v_miter.y = signed_distance(curr, curr+t, position);\\n    }\\n\\n    if (!closed && v_segment.x <= 0.0) {\\n        v_miter.x = 1e10;\\n    }\\n    if (!closed && v_segment.y >= v_length)\\n    {\\n        v_miter.y = 1e10;\\n    }\\n\\n    v_texcoord = vec2( u, v*w );\\n\\n    // Calculate position in device coordinates. Note that we\\n    // already scaled with abs scale above.\\n    vec2 normpos = position * sign(u_scale_aspect);\\n    normpos += 0.5;  // make up for Bokeh's offset\\n    normpos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(normpos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n}\\n\"},\n      376: function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0}),e.fragment_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform sampler2D u_dash_atlas;\\n\\nuniform vec2 u_linecaps;\\nuniform float u_miter_limit;\\nuniform float u_linejoin;\\nuniform float u_antialias;\\nuniform float u_dash_phase;\\nuniform float u_dash_period;\\nuniform float u_dash_index;\\nuniform vec2 u_dash_caps;\\nuniform float u_closed;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\n// Compute distance to cap ----------------------------------------------------\\nfloat cap( int type, float dx, float dy, float t, float linewidth )\\n{\\n    float d = 0.0;\\n    dx = abs(dx);\\n    dy = abs(dy);\\n    if      (type == 0)  discard;  // None\\n    else if (type == 1)  d = sqrt(dx*dx+dy*dy);  // Round\\n    else if (type == 3)  d = (dx+abs(dy));  // Triangle in\\n    else if (type == 2)  d = max(abs(dy),(t+dx-abs(dy)));  // Triangle out\\n    else if (type == 4)  d = max(dx,dy);  // Square\\n    else if (type == 5)  d = max(dx+t,dy);  // Butt\\n    return d;\\n}\\n\\n// Compute distance to join -------------------------------------------------\\nfloat join( in int type, in float d, in vec2 segment, in vec2 texcoord, in vec2 miter,\\n           in float linewidth )\\n{\\n    // texcoord.x is distance from start\\n    // texcoord.y is distance from centerline\\n    // segment.x and y indicate the limits (as for texcoord.x) for this segment\\n\\n    float dx = texcoord.x;\\n\\n    // Round join\\n    if( type == 1 ) {\\n        if (dx < segment.x) {\\n            d = max(d,length( texcoord - vec2(segment.x,0.0)));\\n            //d = length( texcoord - vec2(segment.x,0.0));\\n        } else if (dx > segment.y) {\\n            d = max(d,length( texcoord - vec2(segment.y,0.0)));\\n            //d = length( texcoord - vec2(segment.y,0.0));\\n        }\\n    }\\n    // Bevel join\\n    else if ( type == 2 ) {\\n        if (dx < segment.x) {\\n            vec2 x = texcoord - vec2(segment.x,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n\\n        } else if (dx > segment.y) {\\n            vec2 x = texcoord - vec2(segment.y,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n        }\\n        /*  Original code for bevel which does not work for us\\n        if( (dx < segment.x) ||  (dx > segment.y) )\\n            d = max(d, min(abs(x.x),abs(x.y)));\\n        */\\n    }\\n\\n    return d;\\n}\\n\\nvoid main()\\n{\\n    // If color is fully transparent we just discard the fragment\\n    if( v_color.a <= 0.0 ) {\\n        discard;\\n    }\\n\\n    // Test if dash pattern is the solid one (0)\\n    bool solid =  (u_dash_index == 0.0);\\n\\n    // Test if path is closed\\n    bool closed = (u_closed > 0.0);\\n\\n    vec4 color = v_color;\\n    float dx = v_texcoord.x;\\n    float dy = v_texcoord.y;\\n    float t = v_linewidth/2.0-u_antialias;\\n    float width = 1.0;  //v_linewidth; original code had dashes scale with line width, we do not\\n    float d = 0.0;\\n\\n    vec2 linecaps = u_linecaps;\\n    vec2 dash_caps = u_dash_caps;\\n    float line_start = 0.0;\\n    float line_stop = v_length;\\n\\n    // Apply miter limit; fragments too far into the miter are simply discarded\\n    if( (dx < v_segment.x) || (dx > v_segment.y) ) {\\n        float into_miter = max(v_segment.x - dx, dx - v_segment.y);\\n        if (into_miter > u_miter_limit*v_linewidth/2.0)\\n          discard;\\n    }\\n\\n    // Solid line --------------------------------------------------------------\\n    if( solid ) {\\n        d = abs(dy);\\n        if( (!closed) && (dx < line_start) ) {\\n            d = cap( int(u_linecaps.x), abs(dx), abs(dy), t, v_linewidth );\\n        }\\n        else if( (!closed) &&  (dx > line_stop) ) {\\n            d = cap( int(u_linecaps.y), abs(dx)-line_stop, abs(dy), t, v_linewidth );\\n        }\\n        else {\\n            d = join( int(u_linejoin), abs(dy), v_segment, v_texcoord, v_miter, v_linewidth );\\n        }\\n\\n    // Dash line --------------------------------------------------------------\\n    } else {\\n        float segment_start = v_segment.x;\\n        float segment_stop  = v_segment.y;\\n        float segment_center= (segment_start+segment_stop)/2.0;\\n        float freq          = u_dash_period*width;\\n        float u = mod( dx + u_dash_phase*width, freq);\\n        vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n        float dash_center= tex.x * width;\\n        float dash_type  = tex.y;\\n        float _start = tex.z * width;\\n        float _stop  = tex.a * width;\\n        float dash_start = dx - u + _start;\\n        float dash_stop  = dx - u + _stop;\\n\\n        // Compute extents of the first dash (the one relative to v_segment.x)\\n        // Note: this could be computed in the vertex shader\\n        if( (dash_stop < segment_start) && (dash_caps.x != 5.0) ) {\\n            float u = mod(segment_start + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_start - u + _start;\\n            dash_stop = segment_start - u + _stop;\\n        }\\n\\n        // Compute extents of the last dash (the one relatives to v_segment.y)\\n        // Note: This could be computed in the vertex shader\\n        else if( (dash_start > segment_stop)  && (dash_caps.y != 5.0) ) {\\n            float u = mod(segment_stop + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_stop - u + _start;\\n            dash_stop  = segment_stop - u + _stop;\\n        }\\n\\n        // This test if the we are dealing with a discontinuous angle\\n        bool discontinuous = ((dx <  segment_center) && abs(v_angles.x) > THETA) ||\\n                             ((dx >= segment_center) && abs(v_angles.y) > THETA);\\n        //if( dx < line_start) discontinuous = false;\\n        //if( dx > line_stop)  discontinuous = false;\\n\\n        float d_join = join( int(u_linejoin), abs(dy),\\n                            v_segment, v_texcoord, v_miter, v_linewidth );\\n\\n        // When path is closed, we do not have room for linecaps, so we make room\\n        // by shortening the total length\\n        if (closed) {\\n             line_start += v_linewidth/2.0;\\n             line_stop  -= v_linewidth/2.0;\\n        }\\n\\n        // We also need to take antialias area into account\\n        //line_start += u_antialias;\\n        //line_stop  -= u_antialias;\\n\\n        // Check is dash stop is before line start\\n        if( dash_stop <= line_start ) {\\n            discard;\\n        }\\n        // Check is dash start is beyond line stop\\n        if( dash_start >= line_stop ) {\\n            discard;\\n        }\\n\\n        // Check if current dash start is beyond segment stop\\n        if( discontinuous ) {\\n            // Dash start is beyond segment, we discard\\n            if( (dash_start > segment_stop) ) {\\n                discard;\\n                //gl_FragColor = vec4(1.0,0.0,0.0,.25); return;\\n            }\\n\\n            // Dash stop is before segment, we discard\\n            if( (dash_stop < segment_start) ) {\\n                discard;  //gl_FragColor = vec4(0.0,1.0,0.0,.25); return;\\n            }\\n\\n            // Special case for round caps (nicer with this)\\n            if( dash_caps.x == 1.0 ) {\\n                if( (u > _stop) && (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for round caps  (nicer with this)\\n            if( dash_caps.y == 1.0 ) {\\n                if( (u < _start) && (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.x != 1.0) && (dash_caps.x != 5.0) ) {\\n                if( (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0) ) {\\n                    float a = v_angles.x/2.0;\\n                    float x = (segment_start-dx)*cos(a) - dy*sin(a);\\n                    float y = (segment_start-dx)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the cap into square to avoid holes\\n                    dash_caps.x = 4.0;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.y != 1.0) && (dash_caps.y != 5.0) ) {\\n                if( (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0) ) {\\n                    float a = v_angles.y/2.0;\\n                    float x = (dx-segment_stop)*cos(a) - dy*sin(a);\\n                    float y = (dx-segment_stop)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the caps into square to avoid holes\\n                    dash_caps.y = 4.0;\\n                }\\n            }\\n        }\\n\\n        // Line cap at start\\n        if( (dx < line_start) && (dash_start < line_start) && (dash_stop > line_start) ) {\\n            d = cap( int(linecaps.x), dx-line_start, dy, t, v_linewidth);\\n        }\\n        // Line cap at stop\\n        else if( (dx > line_stop) && (dash_stop > line_stop) && (dash_start < line_stop) ) {\\n            d = cap( int(linecaps.y), dx-line_stop, dy, t, v_linewidth);\\n        }\\n        // Dash cap left - dash_type = -1, 0 or 1, but there may be roundoff errors\\n        else if( dash_type < -0.5 ) {\\n            d = cap( int(dash_caps.y), abs(u-dash_center), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash cap right\\n        else if( dash_type > 0.5 ) {\\n            d = cap( int(dash_caps.x), abs(dash_center-u), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash body (plain)\\n        else {// if( dash_type > -0.5 &&  dash_type < 0.5) {\\n            d = abs(dy);\\n        }\\n\\n        // Line join\\n        if( (dx > line_start) && (dx < line_stop)) {\\n            if( (dx <= segment_start) && (dash_start <= segment_start)\\n                && (dash_stop >= segment_start) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.x;\\n                float f = abs( (segment_start - dx)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( (dx > segment_stop) && (dash_start <= segment_stop)\\n                     && (dash_stop >= segment_stop) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.y;\\n                float f = abs((dx - segment_stop)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( dx < (segment_start - v_linewidth/2.)) {\\n                discard;\\n            }\\n            else if( dx > (segment_stop + v_linewidth/2.)) {\\n                discard;\\n            }\\n        }\\n        else if( dx < (segment_start - v_linewidth/2.)) {\\n            discard;\\n        }\\n        else if( dx > (segment_stop + v_linewidth/2.)) {\\n            discard;\\n        }\\n    }\\n\\n    // Distance to border ------------------------------------------------------\\n    d = d - t;\\n    if( d < 0.0 ) {\\n        gl_FragColor = color;\\n    } else {\\n        d /= u_antialias;\\n        gl_FragColor = vec4(color.rgb, exp(-d*d)*color.a);\\n    }\\n}\\n\"},\n      377: function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(373),r=t(374),o=t(378),_=t(379),h=t(213),l=t(12),n=t(72);class g extends r.BaseGLGlyph{init(){const{gl:t}=this,s=o.vertex_shader,e=_.fragment_shader(this._marker_code);this.prog=new a.Program(t),this.prog.set_shaders(s,e),this.vbo_x=new a.VertexBuffer(t),this.prog.set_attribute(\"a_x\",\"float\",this.vbo_x),this.vbo_y=new a.VertexBuffer(t),this.prog.set_attribute(\"a_y\",\"float\",this.vbo_y),this.vbo_s=new a.VertexBuffer(t),this.prog.set_attribute(\"a_size\",\"float\",this.vbo_s),this.vbo_a=new a.VertexBuffer(t),this.prog.set_attribute(\"a_angle\",\"float\",this.vbo_a),this.vbo_linewidth=new a.VertexBuffer(t),this.vbo_fg_color=new a.VertexBuffer(t),this.vbo_bg_color=new a.VertexBuffer(t),this.index_buffer=new a.IndexBuffer(t)}draw(t,s,e){const i=s.glglyph,{nvertices:a}=i;if(i.data_changed){if(!isFinite(e.dx)||!isFinite(e.dy))return;i._baked_offset=[e.dx,e.dy],i._set_data(a),i.data_changed=!1}else this.glyph instanceof h.CircleView&&null!=this.glyph._radius&&(null==this.last_trans||e.sx!=this.last_trans.sx||e.sy!=this.last_trans.sy)&&(this.last_trans=e,this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))));this.visuals_changed&&(this._set_visuals(a),this.visuals_changed=!1);const r=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[e.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[e.width,e.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[e.dx-r[0],e.dy-r[1]]),this.prog.set_uniform(\"u_scale\",\"vec2\",[e.sx,e.sy]),this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a),0!=t.length)if(t.length===a)this.prog.draw(this.gl.POINTS,[0,a]);else if(a<65535){const s=window.navigator.userAgent;s.indexOf(\"MSIE \")+s.indexOf(\"Trident/\")+s.indexOf(\"Edge/\")>0&&n.logger.warn(\"WebGL warning: IE is known to produce 1px sprites whith selections.\"),this.index_buffer.set_size(2*t.length),this.index_buffer.set_data(0,new Uint16Array(t)),this.prog.draw(this.gl.POINTS,this.index_buffer)}else{const s=64e3,e=[];for(let t=0,i=Math.ceil(a/s);t<i;t++)e.push([]);for(let i=0,a=t.length;i<a;i++){const a=t[i]%s;e[Math.floor(t[i]/s)].push(a)}for(let t=0,a=e.length;t<a;t++){const a=new Uint16Array(e[t]),r=t*s*4;0!==a.length&&(this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x,0,r),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y,0,r),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s,0,r),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a,0,r),this.vbo_linewidth.used&&this.prog.set_attribute(\"a_linewidth\",\"float\",this.vbo_linewidth,0,r),this.vbo_fg_color.used&&this.prog.set_attribute(\"a_fg_color\",\"vec4\",this.vbo_fg_color,0,4*r),this.vbo_bg_color.used&&this.prog.set_attribute(\"a_bg_color\",\"vec4\",this.vbo_bg_color,0,4*r),this.index_buffer.set_size(2*a.length),this.index_buffer.set_data(0,a),this.prog.draw(this.gl.POINTS,this.index_buffer))}}}_set_data(t){const s=4*t;this.vbo_x.set_size(s),this.vbo_y.set_size(s),this.vbo_a.set_size(s),this.vbo_s.set_size(s);const e=new Float64Array(this.glyph._x),i=new Float64Array(this.glyph._y);for(let s=0,a=t;s<a;s++)e[s]+=this._baked_offset[0],i[s]+=this._baked_offset[1];this.vbo_x.set_data(0,new Float32Array(e)),this.vbo_y.set_data(0,new Float32Array(i)),null!=this.glyph._angle&&this.vbo_a.set_data(0,new Float32Array(this.glyph._angle)),this.glyph instanceof h.CircleView&&null!=this.glyph._radius?this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))):this.vbo_s.set_data(0,new Float32Array(this.glyph._size))}_set_visuals(t){r.attach_float(this.prog,this.vbo_linewidth,\"a_linewidth\",t,this.glyph.visuals.line,\"line_width\"),r.attach_color(this.prog,this.vbo_fg_color,\"a_fg_color\",t,this.glyph.visuals.line,\"line\"),r.attach_color(this.prog,this.vbo_bg_color,\"a_bg_color\",t,this.glyph.visuals.fill,\"fill\"),this.prog.set_uniform(\"u_antialias\",\"float\",[.8])}}function f(t){return class extends g{get _marker_code(){return t}}}e.MarkerGLGlyph=g,g.__name__=\"MarkerGLGlyph\";const d=i.__importStar(t(379));e.CircleGLGlyph=f(d.circle),e.SquareGLGlyph=f(d.square),e.DiamondGLGlyph=f(d.diamond),e.TriangleGLGlyph=f(d.triangle),e.InvertedTriangleGLGlyph=f(d.invertedtriangle),e.HexGLGlyph=f(d.hex),e.CrossGLGlyph=f(d.cross),e.CircleCrossGLGlyph=f(d.circlecross),e.SquareCrossGLGlyph=f(d.squarecross),e.DiamondCrossGLGlyph=f(d.diamondcross),e.XGLGlyph=f(d.x),e.CircleXGLGlyph=f(d.circlex),e.SquareXGLGlyph=f(d.squarex),e.AsteriskGLGlyph=f(d.asterisk)},\n      378: function _(n,i,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.vertex_shader=\"\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\n//\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform vec2 u_offset;\\nuniform vec2 u_scale;\\nuniform float u_antialias;\\n//\\nattribute float a_x;\\nattribute float a_y;\\nattribute float a_size;\\nattribute float a_angle;  // in radians\\nattribute float a_linewidth;\\nattribute vec4  a_fg_color;\\nattribute vec4  a_bg_color;\\n//\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying vec2  v_rotation;\\n\\nvoid main (void)\\n{\\n    v_size = a_size * u_pixel_ratio;\\n    v_linewidth = a_linewidth * u_pixel_ratio;\\n    v_fg_color = a_fg_color;\\n    v_bg_color = a_bg_color;\\n    v_rotation = vec2(cos(-a_angle), sin(-a_angle));\\n    // Calculate position - the -0.5 is to correct for canvas origin\\n    vec2 pos = (vec2(a_x, a_y) + u_offset) * u_scale; // in pixels\\n    pos += 0.5;  // make up for Bokeh's offset\\n    pos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(pos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n    gl_PointSize = SQRT_2 * v_size + 2.0 * (v_linewidth + 1.5*u_antialias);\\n}\\n\"},\n      379: function _(a,n,s){Object.defineProperty(s,\"__esModule\",{value:!0}),s.fragment_shader=a=>`\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float PI = 3.14159265358979323846264;\\n//\\nuniform float u_antialias;\\n//\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2  v_rotation;\\n\\n${a}\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 fg_color, vec4 bg_color)\\n{\\n    vec4 frag_color;\\n    float t = linewidth/2.0 - antialias;\\n    float signed_distance = distance;\\n    float border_distance = abs(signed_distance) - t;\\n    float alpha = border_distance/antialias;\\n    alpha = exp(-alpha*alpha);\\n\\n    // If fg alpha is zero, it probably means no outline. To avoid a dark outline\\n    // shining through due to aa, we set the fg color to the bg color. Avoid if (i.e. branching).\\n    float select = float(bool(fg_color.a));\\n    fg_color.rgb = select * fg_color.rgb + (1.0  - select) * bg_color.rgb;\\n    // Similarly, if we want a transparent bg\\n    select = float(bool(bg_color.a));\\n    bg_color.rgb = select * bg_color.rgb + (1.0  - select) * fg_color.rgb;\\n\\n    if( border_distance < 0.0)\\n        frag_color = fg_color;\\n    else if( signed_distance < 0.0 ) {\\n        frag_color = mix(bg_color, fg_color, sqrt(alpha));\\n    } else {\\n        if( abs(signed_distance) < (linewidth/2.0 + antialias) ) {\\n            frag_color = vec4(fg_color.rgb, fg_color.a * alpha);\\n        } else {\\n            discard;\\n        }\\n    }\\n    return frag_color;\\n}\\n\\nvoid main()\\n{\\n    vec2 P = gl_PointCoord.xy - vec2(0.5, 0.5);\\n    P = vec2(v_rotation.x*P.x - v_rotation.y*P.y,\\n             v_rotation.y*P.x + v_rotation.x*P.y);\\n    float point_size = SQRT_2*v_size  + 2.0 * (v_linewidth + 1.5*u_antialias);\\n    float distance = marker(P*point_size, v_size);\\n    gl_FragColor = outline(distance, v_linewidth, u_antialias, v_fg_color, v_bg_color);\\n    //gl_FragColor.rgb *= gl_FragColor.a;  // pre-multiply alpha\\n}\\n`,s.circle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return length(P) - size/2.0;\\n}\\n\",s.square=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n\",s.diamond=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    return r1 / SQRT_2;\\n}\\n\",s.hex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    vec2 q = abs(P);\\n    return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n\",s.triangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y -= size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.invertedtriangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y += size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = - P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.cross='\\nfloat marker(vec2 P, float size)\\n{\\n    float square = max(abs(P.x), abs(P.y)) - size / 2.5;   // 2.5 is a tweak\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(square, cross);\\n}\\n',s.circlecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.squarecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.diamondcross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    diamond /= SQRT_2;\\n    float c1 = max(diamond, s1);\\n    float c2 = max(diamond, s2);\\n    float c3 = max(diamond, s3);\\n    float c4 = max(diamond, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.x='\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size / 1.6;\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(circle, X);\\n}\\n',s.circlex='\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    float almost = min(min(min(c1, c2), c3), c4);\\n    // In this case, the X is also outside of the main shape\\n    float Xmask = length(P) - size / 1.6;  // a circle\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return min(max(X, Xmask), almost);\\n}\\n',s.squarex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.asterisk='\\nfloat marker(vec2 P, float size)\\n{\\n    // Masks\\n    float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / (2.0 * SQRT_2);\\n    float square = max(abs(P.x), abs(P.y)) - size / (2.0 * SQRT_2);\\n    // Shapes\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    // Result is union of masked shapes\\n    return min(max(X, diamond), max(cross, square));\\n}\\n'},\n      }, 370, {\"models/glyphs/webgl/main\":370,\"models/glyphs/webgl/index\":371,\"models/glyphs/webgl/line\":372,\"models/glyphs/webgl/base\":374,\"models/glyphs/webgl/line.vert\":375,\"models/glyphs/webgl/line.frag\":376,\"models/glyphs/webgl/markers\":377,\"models/glyphs/webgl/markers.vert\":378,\"models/glyphs/webgl/markers.frag\":379}, {});\n      })\n\n\n      /* END bokeh-gl.min.js */\n    },\n    \n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      /* BEGIN panel.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], undefined);\n      })(this, function(Bokeh, version) {\n        var define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      \"4e90918c0a\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"22ae8fda70\"));o.Panel=s,e(\"@bokehjs/base\").register_models(s)},\n      \"22ae8fda70\": function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=a(\"tslib\");var t=a(\"3343056bd8\");r.AcePlot=t.AcePlot;var c=a(\"66d52165db\");r.Audio=c.Audio;var l=a(\"71a9759436\");r.CommManager=l.CommManager;var d=a(\"d0d2aafca0\");r.DeckGLPlot=d.DeckGLPlot;var v=a(\"ed08037ce5\");r.HTML=v.HTML;var b=a(\"284504a0cf\");r.JSON=b.JSON;var P=a(\"61c9ac7aac\");r.FileDownload=P.FileDownload;var f=a(\"7b859fb3cf\");r.KaTeX=f.KaTeX;var i=a(\"0c21036737\");r.MathJax=i.MathJax;var n=a(\"79c41bbf71\");r.Player=n.Player;var s=a(\"56da045fbd\");r.PlotlyPlot=s.PlotlyPlot;var M=a(\"76307e5afa\");r.Progress=M.Progress;var S=a(\"38b2bc9574\");r.State=S.State;var g=a(\"294adeb985\");r.VegaPlot=g.VegaPlot;var m=a(\"b0c3e9e9c2\");r.Video=m.Video;var V=a(\"3c7145a2fa\");r.VideoStream=V.VideoStream,o.__exportStar(a(\"ecfbb965eb\"),r)},\n      \"3343056bd8\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),n=e(\"@bokehjs/core/dom\"),a=e(\"7116a7a602\");class d extends a.PanelHTMLBoxView{initialize(){super.initialize(),this._ace=window.ace,this._container=n.div({id:\"_\"+Math.random().toString(36).substr(2,9),style:{width:\"100%\",height:\"100%\"}})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.code.change,()=>this._update_code_from_model()),this.connect(this.model.properties.theme.change,()=>this._update_theme()),this.connect(this.model.properties.language.change,()=>this._update_language()),this.connect(this.model.properties.annotations.change,()=>this._add_annotations()),this.connect(this.model.properties.readonly.change,()=>{this._editor.setReadOnly(this.model.readonly)})}render(){super.render(),this._container!==this.el.childNodes[0]&&this.el.appendChild(this._container),this._container.textContent=this.model.code,this._editor=this._ace.edit(this._container.id),this._editor.setTheme(\"ace/theme/\"+this.model.theme),this._editor.session.setMode(\"ace/mode/\"+this.model.language),this._editor.setReadOnly(this.model.readonly),this._langTools=this._ace.require(\"ace/ext/language_tools\"),this._editor.setOptions({enableBasicAutocompletion:!0,enableSnippets:!0,fontFamily:\"monospace\"}),this._editor.on(\"change\",()=>this._update_code_from_editor())}_update_code_from_model(){this._editor&&this._editor.getValue()!=this.model.code&&this._editor.setValue(this.model.code)}_update_code_from_editor(){this._editor.getValue()!=this.model.code&&(this.model.code=this._editor.getValue())}_update_theme(){this._editor.setTheme(\"ace/theme/\"+this.model.theme)}_update_language(){this._editor.session.setMode(\"ace/mode/\"+this.model.language)}_add_annotations(){this._editor.session.setAnnotations(this.model.annotations)}after_layout(){super.after_layout(),this._editor.resize()}}o.AcePlotView=d,d.__name__=\"AcePlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_AcePlot(){this.prototype.default_view=d,this.define({code:[i.String],language:[i.String,\"python\"],theme:[i.String,\"chrome\"],annotations:[i.Array,[]],readonly:[i.Boolean,!1]}),this.override({height:300,width:300})}}o.AcePlot=h,h.__name__=\"AcePlot\",h.__module__=\"panel.models.ace\",h.init_AcePlot()},\n      \"7116a7a602\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(\"@bokehjs/core/layout/html\"),h=e(\"@bokehjs/core/layout/types\"),o=e(\"@bokehjs/core/dom\"),n=e(\"@bokehjs/models/widgets/markup\"),_=e(\"@bokehjs/models/layouts/html_box\");function a(e,i){let t=null!=i.width?\"fixed\":\"fit\",s=null!=i.height?\"fixed\":\"fit\";const{sizing_mode:h}=i;if(null!=h)if(\"fixed\"==h)t=s=\"fixed\";else if(\"stretch_both\"==h)t=s=\"max\";else if(\"stretch_width\"==h)t=\"max\";else if(\"stretch_height\"==h)s=\"max\";else switch(h){case\"scale_width\":t=\"max\",s=\"min\";break;case\"scale_height\":t=\"min\",s=\"max\";break;case\"scale_both\":t=\"max\",s=\"max\";break;default:throw new Error(\"unreachable\")}\"fixed\"==t&&i.width?e.style.width=i.width+\"px\":\"max\"==t&&(e.style.width=\"100%\"),\"fixed\"==s&&i.height?e.style.height=i.height+\"px\":\"max\"==s&&(e.style.height=\"100%\")}t.set_size=a;class d extends s.VariadicBox{constructor(e,i,t){super(e),this.el=e,this.sizing_mode=i,this.changed=t,this._cache=new Map,this._cache_count=new Map}_measure(e){const i=[e.width,e.height,this.sizing_mode].toString(),t=this.changed&&\"fixed\"!=this.sizing_mode&&null!=this.sizing_mode?1:0,s=this._cache.get(i),n=this._cache_count.get(i);if(null!=s&&null!=n&&n>=t)return this._cache_count.set(i,n+1),s;const _=new h.Sizeable(e).bounded_to(this.sizing.size),a=o.sized(this.el,_,()=>{const e=new h.Sizeable(o.content_size(this.el)),{border:i,padding:t}=o.extents(this.el);return e.grow_by(i).grow_by(t).map(Math.ceil)});return this._cache.set(i,a),this._cache_count.set(i,0),a}invalidate_cache(){}}t.CachedVariadicBox=d,d.__name__=\"CachedVariadicBox\";class l extends n.MarkupView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.markup_el,this.model)}}t.PanelMarkupView=l,l.__name__=\"PanelMarkupView\";class c extends _.HTMLBoxView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.el,this.model)}}t.PanelHTMLBoxView=c,c.__name__=\"PanelHTMLBoxView\"},\n      \"66d52165db\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.audioEl=document.createElement(\"audio\"),this.audioEl.controls=!0,this.audioEl.src=this.model.value,this.audioEl.currentTime=this.model.time,this.audioEl.loop=this.model.loop,null!=this.model.volume?this.audioEl.volume=this.model.volume/100:this.model.volume=100*this.audioEl.volume,this.audioEl.onpause=()=>this.model.paused=!0,this.audioEl.onplay=()=>this.model.paused=!1,this.audioEl.ontimeupdate=()=>this.update_time(this),this.audioEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.audioEl),this.model.paused||this.audioEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.audioEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.audioEl.volume)}set_loop(){this.audioEl.loop=this.model.loop}set_paused(){!this.audioEl.paused&&this.model.paused&&this.audioEl.pause(),this.audioEl.paused&&!this.model.paused&&this.audioEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.audioEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.audioEl.currentTime=this.model.time)}set_value(){this.audioEl.src=this.model.value}}i.AudioView=d,d.__name__=\"AudioView\";class u extends s.HTMLBox{constructor(e){super(e)}static init_Audio(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}i.Audio=u,u.__name__=\"Audio\",u.__module__=\"panel.models.widgets\",u.init_Audio()},\n      \"71a9759436\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/document\"),s=e(\"@bokehjs/core/view\"),c=e(\"@bokehjs/model\"),_=e(\"@bokehjs/protocol/message\"),l=e(\"@bokehjs/protocol/receiver\");class r extends s.View{renderTo(){}}n.CommManagerView=r,r.__name__=\"CommManagerView\";class a extends c.Model{constructor(e){super(e),this._document_listener=e=>this._document_changed(e),this._receiver=new l.Receiver,this._event_buffer=[],this._blocked=!1,this._timeout=Date.now(),null!=window.PyViz&&window.PyViz.comm_manager?(this.ns=window.PyViz,this.ns.comm_manager.register_target(this.plot_id,this.comm_id,e=>this.msg_handler(e)),this._client_comm=this.ns.comm_manager.get_client_comm(this.plot_id,this.client_comm_id,e=>this.on_ack(e))):console.log(\"Could not find comm manager on window.PyViz, ensure the extension is loaded.\")}_doc_attached(){super._doc_attached(),null!=this.document&&this.document.on_change(this._document_listener)}_document_changed(e){e.setter_id!==this.id&&(e instanceof i.ModelChangedEvent&&!(e.attr in e.model.serializable_attributes())||(this._event_buffer.unshift(e),(!this._blocked||Date.now()>this._timeout)&&(setTimeout(()=>this.process_events(),this.debounce),this._blocked=!0,this._timeout=Date.now()+this.timeout)))}process_events(){if(null==this.document||null==this._client_comm)return;const e=_.Message.create(\"PATCH-DOC\",{},this.document.create_json_patch(this._event_buffer));this._client_comm.send(e),this._event_buffer=[]}on_ack(e){const t=e.metadata;this._event_buffer.length?(this.process_events(),this._blocked=!0,this._timeout=Date.now()+this.timeout):this._blocked=!1,this._event_buffer=[],\"Ready\"==t.msg_type&&t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback)}msg_handler(e){const t=e.metadata,n=e.buffers,o=e.content.data,i=this.plot_id;if(\"Ready\"==t.msg_type)t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback);else if(null!=i){let e=null;if(i in this.ns.plot_index&&null!=this.ns.plot_index[i]?e=this.ns.plot_index[i]:void 0!==window.Bokeh&&i in window.Bokeh.index&&(e=window.Bokeh.index[i]),null==e)return;null!=n&&n.length>0?this._receiver.consume(n[0].buffer):this._receiver.consume(o);const t=this._receiver.message;null!=t&&Object.keys(t.content).length>0&&null!=this.document&&this.document.apply_json_patch(t.content,t.buffers,this.id)}}static init_CommManager(){this.prototype.default_view=r,this.define({plot_id:[o.String,null],comm_id:[o.String,null],client_comm_id:[o.String,null],timeout:[o.Number,5e3],debounce:[o.Number,50]})}}n.CommManager=a,a.__name__=\"CommManager\",a.__module__=\"panel.models.comm_manager\",a.init_CommManager()},\n      \"d0d2aafca0\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\"),n=e(\"@bokehjs/core/dom\"),a=i.__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),c=e(\"7116a7a602\"),r=e(\"064eac2866\"),d=i.__importDefault(e(\"093eb75864\"));function l(){const e={},t=window.deck,o=Object.keys(t).filter(e=>e.charAt(0)===e.charAt(0).toUpperCase());for(const i of o)e[i]=t[i];return e}class _ extends c.PanelHTMLBoxView{connect_signals(){super.connect_signals();const{data:e,mapbox_api_key:t,tooltip:o,layers:i,initialViewState:n,data_sources:a}=this.model.properties;this.on_change([t,o],()=>this.render()),this.on_change([e,n],()=>this.updateDeck()),this.on_change([i],()=>this._update_layers()),this.on_change([a],()=>this._connect_sources(!0)),this._layer_map={},this._connected=[],this._connect_sources()}_update_layers(){this._layer_map={},this._update_data(!0)}_connect_sources(e=!1){for(const e of this.model.data_sources)this._connected.indexOf(e)<0&&(this.connect(e.properties.data.change,()=>this._update_data(!0)),this._connected.push(e));this._update_data(e)}initialize(){if(super.initialize(),window.deck.JSONConverter){const{CSVLoader:e,Tile3DLoader:t}=window.loaders;window.loaders.registerLoaders([t,e]);const o={classes:l(),enumerations:{COORDINATE_SYSTEM:window.deck.COORDINATE_SYSTEM,GL:d.default},constants:{Tile3DLoader:t}};this.jsonConverter=new window.deck.JSONConverter({configuration:o})}}_update_data(e=!0){let t=0;for(const e of this.model.layers){let o;if(t+=1,t-1 in this._layer_map)o=this.model.data_sources[this._layer_map[t-1]];else{if(\"number\"!=typeof e.data)continue;this._layer_map[t-1]=e.data,o=this.model.data_sources[e.data]}const i=[],n=o.columns();for(let e=0;e<o.get_length();e++){const t={};for(const i of n){let n=o.get_array(i);const a=null==n[0].shape?null:n[0].shape;null!=a&&a.length>1&&\"number\"==typeof a[0]?t[i]=n.slice(e*a[1],e*a[1]+a[1]):t[i]=n[e]}i.push(t)}e.data=i}e&&this.updateDeck()}_on_click_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.clickState=t}_on_hover_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.hoverState=t}_on_viewState_event(e){this.model.viewState=e.viewState}getData(){return Object.assign(Object.assign({},this.model.data),{layers:this.model.layers,initialViewState:this.model.initialViewState,onViewStateChange:e=>this._on_viewState_event(e),onClick:e=>this._on_click_event(e),onHover:e=>this._on_hover_event(e)})}updateDeck(){if(!this.deckGL)return void this.render();const e=this.getData();if(window.deck.updateDeck)window.deck.updateDeck(e,this.deckGL);else{const t=this.jsonConverter.convert(e);this.deckGL.setProps(t)}}createDeck({mapboxApiKey:e,container:t,jsonInput:o,tooltip:i}){let n;try{const a=this.jsonConverter.convert(o),s=r.makeTooltip(i);n=new window.deck.DeckGL(Object.assign(Object.assign({},a),{map:window.mapboxgl,mapboxApiAccessToken:e,container:t,getTooltip:s}))}catch(e){console.error(e)}return n}render(){super.render();const e=n.div({class:\"deckgl\"});c.set_size(e,this.model);const t=this.model.mapbox_api_key,o=this.model.tooltip,i=this.getData();window.deck.createDeck?this.deckGL=window.deck.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}):this.deckGL=this.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}),this.el.appendChild(e)}}o.DeckGLPlotView=_,_.__name__=\"DeckGLPlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_DeckGLPlot(){this.prototype.default_view=_,this.define({data:[a.Any],data_sources:[a.Array,[]],clickState:[a.Any],hoverState:[a.Any],initialViewState:[a.Any],layers:[a.Array,[]],mapbox_api_key:[a.String],tooltip:[a.Any],viewState:[a.Any]}),this.override({height:400,width:600})}}o.DeckGLPlot=h,h.__name__=\"DeckGLPlot\",h.__module__=\"panel.models.deckgl\",h.init_DeckGLPlot()},\n      \"064eac2866\": function _(e,t,n){\n      /*\n          This file was adapted from https://github.com/uber/deck.gl/ the LICENSE\n          below is preserved to comply with the original license.\n          \n          Copyright (c) 2015 - 2017 Uber Technologies, Inc.\n          \n          Permission is hereby granted, free of charge, to any person obtaining a copy\n          of this software and associated documentation files (the \"Software\"), to deal\n          in the Software without restriction, including without limitation the rights\n          to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n          copies of the Software, and to permit persons to whom the Software is\n          furnished to do so, subject to the following conditions:\n          \n          The above copyright notice and this permission notice shall be included in\n          all copies or substantial portions of the Software.\n          \n          THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n          IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n          FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n          AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n          LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n          OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n          THE SOFTWARE.\n          */\n      let i,l;Object.defineProperty(n,\"__esModule\",{value:!0});const o={fontFamily:'\"Helvetica Neue\", Helvetica, Arial, sans-serif',display:\"flex\",flex:\"wrap\",maxWidth:\"500px\",flexDirection:\"column\",zIndex:2};function r(){return document.createElement(\"div\")}function s(e){if(!e.picked)return null;if(e.object===i)return l;const t={html:a(e.object),style:o};return l=t,i=e.object,t}n.getTooltipDefault=s;const c=new Set([\"position\",\"index\"]);function a(e){const t=r();for(const n in e){if(c.has(n))continue;const i=r();i.className=\"header\",i.textContent=n;const l=r();l.className=\"value\",l.textContent=u(e[n]);const 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\"093eb75864\": function _(E,_,R){_.exports={DEPTH_BUFFER_BIT:256,STENCIL_BUFFER_BIT:1024,COLOR_BUFFER_BIT:16384,POINTS:0,LINES:1,LINE_LOOP:2,LINE_STRIP:3,TRIANGLES:4,TRIANGLE_STRIP:5,TRIANGLE_FAN:6,ZERO:0,ONE:1,SRC_COLOR:768,ONE_MINUS_SRC_COLOR:769,SRC_ALPHA:770,ONE_MINUS_SRC_ALPHA:771,DST_ALPHA:772,ONE_MINUS_DST_ALPHA:773,DST_COLOR:774,ONE_MINUS_DST_COLOR:775,SRC_ALPHA_SATURATE:776,CONSTANT_COLOR:32769,ONE_MINUS_CONSTANT_COLOR:32770,CONSTANT_ALPHA:32771,ONE_MINUS_CONSTANT_ALPHA:32772,FUNC_ADD:32774,FUNC_SUBTRACT:32778,FUNC_REVERSE_SUBTRACT:32779,BLEND_EQUATION:32777,BLEND_EQUATION_RGB:32777,BLEND_EQUATION_ALPHA:34877,BLEND_DST_RGB:32968,BLEND_SRC_RGB:32969,BLEND_DST_ALPHA:32970,BLEND_SRC_ALPHA:32971,BLEND_COLOR:32773,ARRAY_BUFFER_BINDING:34964,ELEMENT_ARRAY_BUFFER_BINDING:34965,LINE_WIDTH:2849,ALIASED_POINT_SIZE_RANGE:33901,ALIASED_LINE_WIDTH_RANGE:33902,CULL_FACE_MODE:2885,FRONT_FACE:2886,DEPTH_RANGE:2928,DEPTH_WRITEMASK:2930,DEPTH_CLEAR_VALUE:2931,DEPTH_FUNC:2932,STENCIL_CLEAR_VALUE:2961,STENCIL_FUNC:2962,STENCIL_FAIL:2964,STENCIL_PASS_DEPTH_FAIL:2965,STENCIL_PASS_DEPTH_PASS:2966,STENCIL_REF:2967,STENCIL_VALUE_MASK:2963,STENCIL_WRITEMASK:2968,STENCIL_BACK_FUNC:34816,STENCIL_BACK_FAIL:34817,STENCIL_BACK_PASS_DEPTH_FAIL:34818,STENCIL_BACK_PASS_DEPTH_PASS:34819,STENCIL_BACK_REF:36003,STENCIL_BACK_VALUE_MASK:36004,STENCIL_BACK_WRITEMASK:36005,VIEWPORT:2978,SCISSOR_BOX:3088,COLOR_CLEAR_VALUE:3106,COLOR_WRITEMASK:3107,UNPACK_ALIGNMENT:3317,PACK_ALIGNMENT:3333,MAX_TEXTURE_SIZE:3379,MAX_VIEWPORT_DIMS:3386,SUBPIXEL_BITS:3408,RED_BITS:3410,GREEN_BITS:3411,BLUE_BITS:3412,ALPHA_BITS:3413,DEPTH_BITS:3414,STENCIL_BITS:3415,POLYGON_OFFSET_UNITS:10752,POLYGON_OFFSET_FACTOR:32824,TEXTURE_BINDING_2D:32873,SAMPLE_BUFFERS:32936,SAMPLES:32937,SAMPLE_COVERAGE_VALUE:32938,SAMPLE_COVERAGE_INVERT:32939,COMPRESSED_TEXTURE_FORMATS:34467,VENDOR:7936,RENDERER:7937,VERSION:7938,IMPLEMENTATION_COLOR_READ_TYPE:35738,IMPLEMENTATION_COLOR_READ_FORMAT:35739,BROWSER_DEFAULT_WEBGL:37444,STATIC_DRAW:35044,STREAM_DRAW:35040,DYNAMIC_DRAW:35048,ARRAY_BUFFER:34962,ELEMENT_ARRAY_BUFFER:34963,BUFFER_SIZE:34660,BUFFER_USAGE:34661,CURRENT_VERTEX_ATTRIB:34342,VERTEX_ATTRIB_ARRAY_ENABLED:34338,VERTEX_ATTRIB_ARRAY_SIZE:34339,VERTEX_ATTRIB_ARRAY_STRIDE:34340,VERTEX_ATTRIB_ARRAY_TYPE:34341,VERTEX_ATTRIB_ARRAY_NORMALIZED:34922,VERTEX_ATTRIB_ARRAY_POINTER:34373,VERTEX_ATTRIB_ARRAY_BUFFER_BINDING:34975,CULL_FACE:2884,FRONT:1028,BACK:1029,FRONT_AND_BACK:1032,BLEND:3042,DEPTH_TEST:2929,DITHER:3024,POLYGON_OFFSET_FILL:32823,SAMPLE_ALPHA_TO_COVERAGE:32926,SAMPLE_COVERAGE:32928,SCISSOR_TEST:3089,STENCIL_TEST:2960,NO_ERROR:0,INVALID_ENUM:1280,INVALID_VALUE:1281,INVALID_OPERATION:1282,OUT_OF_MEMORY:1285,CONTEXT_LOST_WEBGL:37442,CW:2304,CCW:2305,DONT_CARE:4352,FASTEST:4353,NICEST:4354,GENERATE_MIPMAP_HINT:33170,BYTE:5120,UNSIGNED_BYTE:5121,SHORT:5122,UNSIGNED_SHORT:5123,INT:5124,UNSIGNED_INT:5125,FLOAT:5126,DOUBLE:5130,DEPTH_COMPONENT:6402,ALPHA:6406,RGB:6407,RGBA:6408,LUMINANCE:6409,LUMINANCE_ALPHA:6410,UNSIGNED_SHORT_4_4_4_4:32819,UNSIGNED_SHORT_5_5_5_1:32820,UNSIGNED_SHORT_5_6_5:33635,FRAGMENT_SHADER:35632,VERTEX_SHADER:35633,COMPILE_STATUS:35713,DELETE_STATUS:35712,LINK_STATUS:35714,VALIDATE_STATUS:35715,ATTACHED_SHADERS:35717,ACTIVE_ATTRIBUTES:35721,ACTIVE_UNIFORMS:35718,MAX_VERTEX_ATTRIBS:34921,MAX_VERTEX_UNIFORM_VECTORS:36347,MAX_VARYING_VECTORS:36348,MAX_COMBINED_TEXTURE_IMAGE_UNITS:35661,MAX_VERTEX_TEXTURE_IMAGE_UNITS:35660,MAX_TEXTURE_IMAGE_UNITS:34930,MAX_FRAGMENT_UNIFORM_VECTORS:36349,SHADER_TYPE:35663,SHADING_LANGUAGE_VERSION:35724,CURRENT_PROGRAM:35725,NEVER:512,ALWAYS:519,LESS:513,EQUAL:514,LEQUAL:515,GREATER:516,GEQUAL:518,NOTEQUAL:517,KEEP:7680,REPLACE:7681,INCR:7682,DECR:7683,INVERT:5386,INCR_WRAP:34055,DECR_WRAP:34056,NEAREST:9728,LINEAR:9729,NEAREST_MIPMAP_NEAREST:9984,LINEAR_MIPMAP_NEAREST:9985,NEAREST_MIPMAP_LINEAR:9986,LINEAR_MIPMAP_LINEAR:9987,TEXTURE_MAG_FILTER:10240,TEXTURE_MIN_FILTER:10241,TEXTURE_WRAP_S:10242,TEXTURE_WRAP_T:10243,TEXTURE_2D:3553,TEXTURE:5890,TEXTURE_CUBE_MAP:34067,TEXTURE_BINDING_CUBE_MAP:34068,TEXTURE_CUBE_MAP_POSITIVE_X:34069,TEXTURE_CUBE_MAP_NEGATIVE_X:34070,TEXTURE_CUBE_MAP_POSITIVE_Y:34071,TEXTURE_CUBE_MAP_NEGATIVE_Y:34072,TEXTURE_CUBE_MAP_POSITIVE_Z:34073,TEXTURE_CUBE_MAP_NEGATIVE_Z:34074,MAX_CUBE_MAP_TEXTURE_SIZE:34076,TEXTURE0:33984,ACTIVE_TEXTURE:34016,REPEAT:10497,CLAMP_TO_EDGE:33071,MIRRORED_REPEAT:33648,TEXTURE_WIDTH:4096,TEXTURE_HEIGHT:4097,FLOAT_VEC2:35664,FLOAT_VEC3:35665,FLOAT_VEC4:35666,INT_VEC2:35667,INT_VEC3:35668,INT_VEC4:35669,BOOL:35670,BOOL_VEC2:35671,BOOL_VEC3:35672,BOOL_VEC4:35673,FLOAT_MAT2:35674,FLOAT_MAT3:35675,FLOAT_MAT4:35676,SAMPLER_2D:35678,SAMPLER_CUBE:35680,LOW_FLOAT:36336,MEDIUM_FLOAT:36337,HIGH_FLOAT:36338,LOW_INT:36339,MEDIUM_INT:36340,HIGH_INT:36341,FRAMEBUFFER:36160,RENDERBUFFER:36161,RGBA4:32854,RGB5_A1:32855,RGB565:36194,DEPTH_COMPONENT16:33189,STENCIL_INDEX:6401,STENCIL_INDEX8:36168,DEPTH_STENCIL:34041,RENDERBUFFER_WIDTH:36162,RENDERBUFFER_HEIGHT:36163,RENDERBUFFER_INTERNAL_FORMAT:36164,RENDERBUFFER_RED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none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \"No properties\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \"[]\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n  color: green;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n  color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n  color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n  color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n  color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n  background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: blue;\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n  color: #00008B;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \"►\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n  color: white;\\n  text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \"No properties\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \"[]\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n  color: #31F031;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n  color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n  color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n  color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n  color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n  color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n  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this.config.useToJSON&&\"stringifiable\"===this.type},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"hasKey\",{get:function(){return void 0!==this.key},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"constructorName\",{get:function(){return i(this.json)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"type\",{get:function(){return this.config.useToJSON&&this.json&&this.json.toJSON?\"stringifiable\":n(this.json)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"keys\",{get:function(){if(this.isObject){var t=Object.keys(this.json);return!this.isArray&&this.config.sortPropertiesBy?t.sort(this.config.sortPropertiesBy):t}return[]},enumerable:!0,configurable:!0}),t.prototype.toggleOpen=function(){this.isOpen=!this.isOpen,this.element&&(this.isOpen?this.appendChildren(this.config.animateOpen):this.removeChildren(this.config.animateClose),this.element.classList.toggle(f(\"open\")))},t.prototype.openAtDepth=function(t){void 0===t&&(t=1),t<0||(this.open=t,this.isOpen=0!==t,this.element&&(this.removeChildren(!1),0===t?this.element.classList.remove(f(\"open\")):(this.appendChildren(this.config.animateOpen),this.element.classList.add(f(\"open\")))))},t.prototype.getInlinepreview=function(){var t=this;if(this.isArray)return this.json.length>this.config.hoverPreviewArrayCount?\"Array[\"+this.json.length+\"]\":\"[\"+this.json.map(a).join(\", \")+\"]\";var e=this.keys,r=e.slice(0,this.config.hoverPreviewFieldCount).map((function(e){return 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e=r.keys[o],s=new t(r.json[e],r.open-1,r.config,e);n.appendChild(s.render()),(o+=1)<r.keys.length&&(o>10?i():p(i))};p(i)}else this.keys.forEach((function(e){var o=new t(r.json[e],r.open-1,r.config,e);n.appendChild(o.render())}))},t.prototype.removeChildren=function(t){void 0===t&&(t=!1);var e=this.element.querySelector(\"div.\"+f(\"children\"));if(t){var r=0,n=function(){e&&e.children.length&&(e.removeChild(e.children[0]),(r+=1)>10?n():p(n))};p(n)}else e&&(e.innerHTML=\"\")},t}();r.default=h},\n      \"61c9ac7aac\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(\"tslib\"),s=e(\"@bokehjs/models/widgets/input_widget\"),o=e(\"@bokehjs/styles/buttons\"),n=l.__importStar(e(\"@bokehjs/core/properties\"));class a extends s.InputWidgetView{constructor(){super(...arguments),this._downloadable=!1,this._embed=!1,this._prev_href=\"\",this._prev_download=\"\"}initialize(){super.initialize(),this.model.data&&this.model.filename&&(this._embed=!0)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.button_type.change,()=>this._update_button_style()),this.connect(this.model.properties.filename.change,()=>this._update_download()),this.connect(this.model.properties._transfers.change,()=>this._handle_click()),this.connect(this.model.properties.label.change,()=>this._update_label())}render(){super.render(),this.group_el.style.display=\"flex\",this.group_el.style.alignItems=\"stretch\",this.anchor_el=document.createElement(\"a\"),this._update_button_style(),this._update_label(),this.model.disabled?(this.anchor_el.setAttribute(\"disabled\",\"\"),this._downloadable=!1):(this.anchor_el.removeAttribute(\"disabled\"),this._prev_download&&(this.anchor_el.download=this._prev_download),this._prev_href&&(this.anchor_el.href=this._prev_href),this.anchor_el.download&&this.anchor_el.download&&(this._downloadable=!0)),this._embed?this._make_link_downloadable():(this._click_listener=this._increment_clicks.bind(this),this.anchor_el.addEventListener(\"click\",this._click_listener)),this.group_el.appendChild(this.anchor_el)}_increment_clicks(){this.model.clicks=this.model.clicks+1}_handle_click(){!this.model.auto&&this._downloadable||(this._make_link_downloadable(),!this._embed&&this.model.auto&&(this.anchor_el.removeEventListener(\"click\",this._click_listener),this.anchor_el.click(),this.anchor_el.removeAttribute(\"href\"),this.anchor_el.removeAttribute(\"download\"),this.anchor_el.addEventListener(\"click\",this._click_listener)),this._prev_href=this.anchor_el.getAttribute(\"href\"),this._prev_download=this.anchor_el.getAttribute(\"download\"))}_make_link_downloadable(){this._update_href(),this._update_download(),this.anchor_el.download&&this.anchor_el.href&&(this._downloadable=!0)}_update_href(){if(this.model.data){const e=function(e){const t=atob(e.split(\",\")[1]),i=e.split(\",\")[0].split(\":\")[1].split(\";\")[0],l=new ArrayBuffer(t.length),s=new Uint8Array(l);for(let e=0;e<t.length;e++)s[e]=t.charCodeAt(e);return new Blob([l],{type:i})}(this.model.data);this.anchor_el.href=URL.createObjectURL(e)}}_update_download(){this.model.filename&&(this.anchor_el.download=this.model.filename)}_update_label(){this.anchor_el.textContent=this.model.label}_update_button_style(){if(this.anchor_el.hasAttribute(\"class\")){const e=this.anchor_el.classList.item(1);e&&this.anchor_el.classList.replace(e,o.bk_btn_type(this.model.button_type))}else this.anchor_el.classList.add(o.bk_btn),this.anchor_el.classList.add(o.bk_btn_type(this.model.button_type))}}i.FileDownloadView=a,a.__name__=\"FileDownloadView\";class h extends s.InputWidget{constructor(e){super(e)}static init_FileDownload(){this.prototype.default_view=a,this.define({auto:[n.Boolean,!1],clicks:[n.Number,0],data:[n.String,null],label:[n.String,\"Download\"],filename:[n.String,null],button_type:[n.ButtonType,\"default\"],_transfers:[n.Number,0]}),this.override({title:\"\"})}}i.FileDownload=h,h.__name__=\"FileDownload\",h.__module__=\"panel.models.widgets\",h.init_FileDownload()},\n      \"7b859fb3cf\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(\"@bokehjs/models/widgets/markup\"),n=e(\"7116a7a602\");class r extends n.PanelMarkupView{render(){super.render(),this.markup_el.innerHTML=this.model.text,window.renderMathInElement&&window.renderMathInElement(this.el,{delimiters:[{left:\"$$\",right:\"$$\",display:!0},{left:\"\\\\[\",right:\"\\\\]\",display:!0},{left:\"$\",right:\"$\",display:!1},{left:\"\\\\(\",right:\"\\\\)\",display:!1}]})}}i.KaTeXView=r,r.__name__=\"KaTeXView\";class s extends a.Markup{constructor(e){super(e)}static init_KaTeX(){this.prototype.default_view=r}}i.KaTeX=s,s.__name__=\"KaTeX\",s.__module__=\"panel.models.katex\",s.init_KaTeX()},\n      \"0c21036737\": function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(\"@bokehjs/models/widgets/markup\"),s=e(\"7116a7a602\");class _ extends s.PanelMarkupView{initialize(){super.initialize(),this._hub=window.MathJax.Hub,this._hub.Config({tex2jax:{inlineMath:[[\"$\",\"$\"],[\"\\\\(\",\"\\\\)\"]]}})}render(){super.render(),this._hub&&(this.markup_el.innerHTML=this.model.text,this._hub.Queue([\"Typeset\",this._hub,this.markup_el]))}}a.MathJaxView=_,_.__name__=\"MathJaxView\";class h extends i.Markup{constructor(e){super(e)}static init_MathJax(){this.prototype.default_view=_}}a.MathJax=h,h.__name__=\"MathJax\",h.__module__=\"panel.models.mathjax\",h.init_MathJax()},\n      \"79c41bbf71\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/models/widgets/widget\");function n(e){e.forEach(e=>e.style.borderStyle=\"inset\")}function a(e){e.forEach(e=>e.style.borderStyle=\"outset\")}class r extends l.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.value.change,()=>this.render()),this.connect(this.model.properties.loop_policy.change,()=>this.set_loop_state(this.model.loop_policy)),this.connect(this.model.properties.show_loop_controls.change,()=>{this.model.show_loop_controls&&this.loop_state.parentNode!=this.groupEl?this.groupEl.appendChild(this.loop_state):this.model.show_loop_controls||this.loop_state.parentNode!=this.groupEl||this.el.removeChild(this.loop_state)})}get_height(){return 250}render(){if(null!=this.sliderEl)return this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),void(this.sliderEl.value=String(this.model.value));super.render(),this.groupEl=o.div(),this.groupEl.style.display=\"flex\",this.groupEl.style.flexDirection=\"column\",this.groupEl.style.alignItems=\"center\",this.sliderEl=document.createElement(\"input\"),this.sliderEl.style.width=\"100%\",this.sliderEl.setAttribute(\"type\",\"range\"),this.sliderEl.value=String(this.model.value),this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),this.sliderEl.onchange=e=>this.set_frame(parseInt(e.target.value));const e=o.div();e.style.cssText=\"margin: 0 auto; display: flex; padding: 5px; align-items: stretch; width: 100%;\";const t=\"text-align: center; min-width: 20px; flex-grow: 1; margin: 2px\",s=\"text-align: center; min-width: 40px; flex-grow: 2; margin: 2px\",i=document.createElement(\"button\");i.style.cssText=t,i.appendChild(document.createTextNode(\"–\")),i.onclick=()=>this.slower(),e.appendChild(i);const l=document.createElement(\"button\");l.style.cssText=s,l.appendChild(document.createTextNode(\"❚◀◀\")),l.onclick=()=>this.first_frame(),e.appendChild(l);const r=document.createElement(\"button\");r.style.cssText=s,r.appendChild(document.createTextNode(\"❚◀\")),r.onclick=()=>this.previous_frame(),e.appendChild(r);const d=document.createElement(\"button\");d.style.cssText=s,d.appendChild(document.createTextNode(\"◀\")),d.onclick=()=>this.reverse_animation(),e.appendChild(d);const h=document.createElement(\"button\");h.style.cssText=s,h.appendChild(document.createTextNode(\"❚❚\")),h.onclick=()=>this.pause_animation(),e.appendChild(h);const p=document.createElement(\"button\");p.style.cssText=s,p.appendChild(document.createTextNode(\"▶\")),p.onclick=()=>this.play_animation(),e.appendChild(p);const c=document.createElement(\"button\");c.style.cssText=s,c.appendChild(document.createTextNode(\"▶❚\")),c.onclick=()=>this.next_frame(),e.appendChild(c);const m=document.createElement(\"button\");m.style.cssText=s,m.appendChild(document.createTextNode(\"▶▶❚\")),m.onclick=()=>this.last_frame(),e.appendChild(m);const _=document.createElement(\"button\");_.style.cssText=t,_.appendChild(document.createTextNode(\"+\")),_.onclick=()=>this.faster(),e.appendChild(_),this._toggle_reverse=()=>{a([h,p]),n([d])},this._toogle_pause=()=>{a([d,p]),n([h])},this._toggle_play=()=>{a([d,h]),n([p])},this.loop_state=document.createElement(\"form\"),this.loop_state.style.cssText=\"margin: 0 auto; display: table\";const u=document.createElement(\"input\");u.type=\"radio\",u.value=\"once\",u.name=\"state\";const g=document.createElement(\"label\");g.innerHTML=\"Once\",g.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const f=document.createElement(\"input\");f.setAttribute(\"type\",\"radio\"),f.setAttribute(\"value\",\"loop\"),f.setAttribute(\"name\",\"state\");const v=document.createElement(\"label\");v.innerHTML=\"Loop\",v.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const y=document.createElement(\"input\");y.setAttribute(\"type\",\"radio\"),y.setAttribute(\"value\",\"reflect\"),y.setAttribute(\"name\",\"state\");const x=document.createElement(\"label\");x.innerHTML=\"Reflect\",x.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\",\"once\"==this.model.loop_policy?u.checked=!0:\"loop\"==this.model.loop_policy?f.checked=!0:y.checked=!0,this.loop_state.appendChild(u),this.loop_state.appendChild(g),this.loop_state.appendChild(f),this.loop_state.appendChild(v),this.loop_state.appendChild(y),this.loop_state.appendChild(x),this.groupEl.appendChild(this.sliderEl),this.groupEl.appendChild(e),this.model.show_loop_controls&&this.groupEl.appendChild(this.loop_state),this.el.appendChild(this.groupEl)}set_frame(e){this.model.value!=e&&(this.model.value=e),this.sliderEl.value!=String(e)&&(this.sliderEl.value=String(e))}get_loop_state(){for(var e=this.loop_state.state,t=0;t<e.length;t++){var s=e[t];if(s.checked)return s.value}return\"once\"}set_loop_state(e){for(var t=this.loop_state.state,s=0;s<t.length;s++){var i=t[s];i.value==e&&(i.checked=!0)}}next_frame(){this.set_frame(Math.min(this.model.end,this.model.value+this.model.step))}previous_frame(){this.set_frame(Math.max(this.model.start,this.model.value-this.model.step))}first_frame(){this.set_frame(this.model.start)}last_frame(){this.set_frame(this.model.end)}slower(){this.model.interval=Math.round(this.model.interval/.7),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}faster(){this.model.interval=Math.round(.7*this.model.interval),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}anim_step_forward(){if(this.model.value<this.model.end)this.next_frame();else{var e=this.get_loop_state();\"loop\"==e?this.first_frame():\"reflect\"==e?(this.last_frame(),this.reverse_animation()):(this.pause_animation(),this.last_frame())}}anim_step_reverse(){if(this.model.value>this.model.start)this.previous_frame();else{var e=this.get_loop_state();\"loop\"==e?this.last_frame():\"reflect\"==e?(this.first_frame(),this.play_animation()):(this.pause_animation(),this.first_frame())}}pause_animation(){this._toogle_pause(),this.model.direction=0,this.timer&&(clearInterval(this.timer),this.timer=null)}play_animation(){this.pause_animation(),this._toggle_play(),this.model.direction=1,this.timer||(this.timer=setInterval(()=>this.anim_step_forward(),this.model.interval))}reverse_animation(){this.pause_animation(),this._toggle_reverse(),this.model.direction=-1,this.timer||(this.timer=setInterval(()=>this.anim_step_reverse(),this.model.interval))}}s.PlayerView=r,r.__name__=\"PlayerView\";class d extends l.Widget{constructor(e){super(e)}static init_Player(){this.prototype.default_view=r,this.define({direction:[i.Number,0],interval:[i.Number,500],start:[i.Number],end:[i.Number],step:[i.Number,1],loop_policy:[i.Any,\"once\"],value:[i.Any,0],show_loop_controls:[i.Boolean,!0]}),this.override({width:400})}}s.Player=d,d.__name__=\"Player\",d.__module__=\"panel.models.widgets\",d.init_Player()},\n      \"56da045fbd\": function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),l=t(\"@bokehjs/core/util/object\"),r=t(\"@bokehjs/core/util/eq\"),s=t(\"@bokehjs/models/layouts/html_box\"),n=t(\"99a25e6992\"),a=t(\"990b5dd5c7\"),p=t(\"7116a7a602\"),h=(t,e,o)=>{let i=Array.isArray(e)?[]:{};if(\"click\"===o||\"hover\"===o||\"selected\"===o){const o=[];if(null==e)return null;const l=t.data;for(let t=0;t<e.points.length;t++){const i=e.points[t];let r={};for(let t in i){const e=i[t];!i.hasOwnProperty(t)||Array.isArray(e)||a.isPlainObject(e)||(r[t]=e)}null!=i&&(i.hasOwnProperty(\"curveNumber\")&&i.hasOwnProperty(\"pointNumber\")&&l[i.curveNumber].hasOwnProperty(\"customdata\")&&(r.customdata=l[i.curveNumber].customdata[i.pointNumber]),i.hasOwnProperty(\"pointNumbers\")&&(r.pointNumbers=i.pointNumbers)),o[t]=r}i.points=o}else if(\"relayout\"===o||\"restyle\"===o)for(let t in e)e.hasOwnProperty(t)&&(i[t]=e[t]);return e.hasOwnProperty(\"range\")&&(i.range=e.range),e.hasOwnProperty(\"lassoPoints\")&&(i.lassoPoints=e.lassoPoints),i};class _ extends p.PanelHTMLBoxView{constructor(){super(...arguments),this._settingViewport=!1,this._plotInitialized=!1,this._reacting=!1,this._relayouting=!1,this._end_relayouting=n.debounce(()=>{this._relayouting=!1},2e3,!1)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.viewport_update_policy.change,this._updateSetViewportFunction),this.connect(this.model.properties.viewport_update_throttle.change,this._updateSetViewportFunction),this.connect(this.model.properties._render_count.change,this.plot),this.connect(this.model.properties.viewport.change,this._updateViewportFromProperty)}render(){super.render(),window.Plotly&&this.plot()}plot(){if(!window.Plotly)return;const t=[];for(let e=0;e<this.model.data.length;e++)t.push(this._get_trace(e,!1));let e=a.deepCopy(this.model.layout);if(this._relayouting){const t=this.el.layout;Object.keys(t).reduce((t,o)=>{\"axis\"===o.slice(1,5)&&\"range\"in t&&(e[o].range=t.range)},{})}this._reacting=!0,window.Plotly.react(this.el,t,e,this.model.config).then(()=>{this._updateSetViewportFunction(),this._updateViewportProperty(),this._plotInitialized||(this.el.on(\"plotly_relayout\",t=>{!0!==t._update_from_property&&(this.model.relayout_data=h(this.el,t,\"relayout\"),this._updateViewportProperty(),this._end_relayouting())}),this.el.on(\"plotly_relayouting\",()=>{\"mouseup\"!==this.model.viewport_update_policy&&(this._relayouting=!0,this._updateViewportProperty())}),this.el.on(\"plotly_restyle\",t=>{this.model.restyle_data=h(this.el,t,\"restyle\"),this._updateViewportProperty()}),this.el.on(\"plotly_click\",t=>{this.model.click_data=h(this.el,t,\"click\")}),this.el.on(\"plotly_hover\",t=>{this.model.hover_data=h(this.el,t,\"hover\")}),this.el.on(\"plotly_selected\",t=>{this.model.selected_data=h(this.el,t,\"selected\")}),this.el.on(\"plotly_clickannotation\",t=>{delete t.event,delete t.fullAnnotation,this.model.clickannotation_data=t}),this.el.on(\"plotly_deselect\",()=>{this.model.selected_data=null}),this.el.on(\"plotly_unhover\",()=>{this.model.hover_data=null})),this._plotInitialized=!0,this._reacting=!1})}_get_trace(t,e){const o=l.clone(this.model.data[t]),i=this.model.data_sources[t];for(const t of i.columns()){let l=i.get_array(t)[0];if(null!=l.shape&&l.shape.length>1){const t=[],e=l.shape;for(let o=0;o<e[0];o++)t.push(l.slice(o*e[1],(o+1)*e[1]));l=t}let r=t.split(\".\"),s=r[r.length-1],n=o;for(let t of r.slice(0,-1))n=n[t];e&&1==r.length?n[s]=[l]:n[s]=l}return o}_updateViewportFromProperty(){if(!window.Plotly||this._settingViewport||this._reacting||!this.model.viewport)return;const t=this.el._fullLayout;Object.keys(this.model.viewport).reduce((e,o)=>{if(r.isEqual(a.get(t,o),e))return!0;{let t=a.deepCopy(this.model.viewport);return t._update_from_property=!0,window.Plotly.relayout(this.el,t),!1}},{})}_updateViewportProperty(){const t=this.el._fullLayout;let e={};for(let o in t){if(!t.hasOwnProperty(o))continue;let i=o.slice(0,5);\"xaxis\"!==i&&\"yaxis\"!==i||(e[o+\".range\"]=a.deepCopy(t[o].range))}r.isEqual(e,this.model.viewport)||this._setViewport(e)}_updateSetViewportFunction(){\"continuous\"===this.model.viewport_update_policy||\"mouseup\"===this.model.viewport_update_policy?this._setViewport=t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}:this._setViewport=a.throttle(t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)},this.model.viewport_update_throttle)}}o.PlotlyPlotView=_,_.__name__=\"PlotlyPlotView\";class d extends s.HTMLBox{constructor(t){super(t)}static init_PlotlyPlot(){this.prototype.default_view=_,this.define({data:[i.Array,[]],layout:[i.Any,{}],config:[i.Any,{}],data_sources:[i.Array,[]],relayout_data:[i.Any,{}],restyle_data:[i.Array,[]],click_data:[i.Any,{}],hover_data:[i.Any,{}],clickannotation_data:[i.Any,{}],selected_data:[i.Any,{}],viewport:[i.Any,{}],viewport_update_policy:[i.String,\"mouseup\"],viewport_update_throttle:[i.Number,200],_render_count:[i.Number,0]})}}o.PlotlyPlot=d,d.__name__=\"PlotlyPlot\",d.__module__=\"panel.models.plotly\",d.init_PlotlyPlot()},\n      \"99a25e6992\": function _(n,l,u){function t(n,l,u){var t,e,o,a,r;function i(){var c=Date.now()-a;c<l&&c>=0?t=setTimeout(i,l-c):(t=null,u||(r=n.apply(o,e),o=e=null))}null==l&&(l=100);var c=function(){o=this,e=arguments,a=Date.now();var c=u&&!t;return t||(t=setTimeout(i,l)),c&&(r=n.apply(o,e),o=e=null),r};return c.clear=function(){t&&(clearTimeout(t),t=null)},c.flush=function(){t&&(r=n.apply(o,e),o=e=null,clearTimeout(t),t=null)},c}t.debounce=t,l.exports=t},\n      \"990b5dd5c7\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.get=(t,e,n)=>{const r=n=>String.prototype.split.call(e,n).filter(Boolean).reduce((t,e)=>null!=t?t[e]:t,t),o=r(/[,[\\]]+?/)||r(/[,[\\].]+?/);return void 0===o||o===t?n:o},n.throttle=function(t,e){var n=0;return function(){var r=Number(new Date);r-n>=e&&(t(),n=r)}},n.deepCopy=function t(e){var n;if(null==e||\"object\"!=typeof e)return e;if(e instanceof Array){n=[];for(var r=0,o=e.length;r<o;r++)n[r]=t(e[r]);return n}if(e instanceof Object){const n={};for(const r in e){const o=r;e.hasOwnProperty(o)&&(n[o]=t(e[o]))}return n}throw new Error(\"Unable to copy obj! Its type isn't supported.\")},n.isPlainObject=function(t){return\"[object Object]\"===Object.prototype.toString.call(t)}},\n      \"76307e5afa\": function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),r=e(\"7116a7a602\");class l extends o.HTMLBoxView{connect_signals(){super.connect_signals();const e=()=>{this.render(),this.root.compute_layout()};this.connect(this.model.properties.height.change,e),this.connect(this.model.properties.width.change,e),this.connect(this.model.properties.height_policy.change,e),this.connect(this.model.properties.width_policy.change,e),this.connect(this.model.properties.sizing_mode.change,e),this.connect(this.model.properties.active.change,()=>this.setCSS()),this.connect(this.model.properties.bar_color.change,()=>this.setCSS()),this.connect(this.model.properties.css_classes.change,()=>this.setCSS()),this.connect(this.model.properties.value.change,()=>this.setValue()),this.connect(this.model.properties.max.change,()=>this.setMax())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.progressEl=document.createElement(\"progress\"),this.setValue(),this.setMax(),r.set_size(this.progressEl,this.model),this.setCSS();for(const s in e)this.progressEl.style.setProperty(s,e[s]);this.el.appendChild(this.progressEl)}setCSS(){let e=this.model.css_classes.join(\" \")+\" \"+this.model.bar_color;this.model.active&&(e+=\" active\"),this.progressEl.className=e}setValue(){null!=this.model.value&&(this.progressEl.value=this.model.value)}setMax(){null!=this.model.max&&(this.progressEl.max=this.model.max)}_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new r.CachedVariadicBox(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}}t.ProgressView=l,l.__name__=\"ProgressView\";class h extends o.HTMLBox{constructor(e){super(e)}static init_Progress(){this.prototype.default_view=l,this.define({active:[i.Boolean,!0],bar_color:[i.String,\"primary\"],style:[i.Any,{}],max:[i.Number,100],value:[i.Number,null]})}}t.Progress=h,h.__name__=\"Progress\",h.__module__=\"panel.models.widgets\",h.init_Progress()},\n      \"38b2bc9574\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),a=e(\"@bokehjs/core/view\"),o=e(\"@bokehjs/core/util/array\"),c=e(\"@bokehjs/model\"),n=e(\"@bokehjs/protocol/receiver\");class r extends a.View{renderTo(){}}s.StateView=r,r.__name__=\"StateView\";class _ extends c.Model{constructor(e){super(e),this._receiver=new n.Receiver,this._cache={}}apply_state(e){this._receiver.consume(e.header),this._receiver.consume(e.metadata),this._receiver.consume(e.content),this._receiver.message&&this.document&&this.document.apply_json_patch(this._receiver.message.content)}_receive_json(e,t){const s=JSON.parse(e);this._cache[t]=s;let i=this.state;for(const e of this.values)i=i[e];i===t?this.apply_state(s):this._cache[i]&&this.apply_state(this._cache[i])}set_state(e,t){let s=o.copy(this.values);s[this.widgets[e.id]]=t;let i=this.state;for(const e of s)i=i[e];var a,c,n;this.values=s,this.json?this._cache[i]?this.apply_state(this._cache[i]):(a=i,c=e=>this._receive_json(e,i),(n=new XMLHttpRequest).overrideMimeType(\"application/json\"),n.open(\"GET\",a,!0),n.onreadystatechange=function(){4==n.readyState&&200==n.status&&c(n.responseText)},n.send(null)):this.apply_state(i)}static init_State(){this.prototype.default_view=r,this.define({json:[i.Boolean,!1],state:[i.Any,{}],widgets:[i.Any,{}],values:[i.Any,[]]})}}s.State=_,_.__name__=\"State\",_.__module__=\"panel.models.state\",_.init_State()},\n      \"294adeb985\": function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),a=t(\"@bokehjs/core/util/types\"),n=t(\"@bokehjs/models/layouts/html_box\");class c extends n.HTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,this._plot),this.connect(this.model.properties.data_sources.change,()=>this._connect_sources()),this._connected=[],this._connect_sources()}_connect_sources(){for(const t in this.model.data_sources){const e=this.model.data_sources[t];this._connected.indexOf(t)<0&&(this.connect(e.properties.data.change,this._plot),this._connected.push(t))}}_fetch_datasets(){const t={};for(const e in this.model.data_sources){const s=this.model.data_sources[e],o=[],a=s.columns();for(let t=0;t<s.get_length();t++){const e={};for(const o of a)e[o]=s.data[o][t];o.push(e)}t[e]=o}return t}render(){super.render(),this._plot()}_plot(){const t=this.model.data;if(null!=t&&window.vegaEmbed){if(this.model.data_sources&&Object.keys(this.model.data_sources).length>0){const e=this._fetch_datasets();if(\"data\"in e&&(t.data.values=e.data,delete e.data),null!=t.data){const s=a.isArray(t.data)?t.data:[t.data];for(const t of s)t.name in e&&(t.values=e[t.name],delete e[t.name])}this.model.data.datasets=e}window.vegaEmbed(this.el,this.model.data,{actions:!1})}}}s.VegaPlotView=c,c.__name__=\"VegaPlotView\";class i extends n.HTMLBox{constructor(t){super(t)}static init_VegaPlot(){this.prototype.default_view=c,this.define({data:[o.Any],data_sources:[o.Any]})}}s.VegaPlot=i,i.__name__=\"VegaPlot\",i.__module__=\"panel.models.vega\",i.init_VegaPlot()},\n      \"b0c3e9e9c2\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.videoEl.controls=!0,this.videoEl.src=this.model.value,this.videoEl.currentTime=this.model.time,this.videoEl.loop=this.model.loop,null!=this.model.volume?this.videoEl.volume=this.model.volume/100:this.model.volume=100*this.videoEl.volume,this.videoEl.onpause=()=>this.model.paused=!0,this.videoEl.onplay=()=>this.model.paused=!1,this.videoEl.ontimeupdate=()=>this.update_time(this),this.videoEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.videoEl),this.model.paused||this.videoEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.videoEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.videoEl.volume)}set_loop(){this.videoEl.loop=this.model.loop}set_paused(){!this.videoEl.paused&&this.model.paused&&this.videoEl.pause(),this.videoEl.paused&&!this.model.paused&&this.videoEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.videoEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.videoEl.currentTime=this.model.time)}set_value(){this.videoEl.src=this.model.value}}t.VideoView=d,d.__name__=\"VideoView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_Video(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}t.Video=h,h.__name__=\"Video\",h.__module__=\"panel.models.widgets\",h.init_Video()},\n      \"3c7145a2fa\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"7116a7a602\");class a extends h.PanelHTMLBoxView{constructor(){super(...arguments),this.constraints={audio:!1,video:!0}}initialize(){super.initialize(),null!==this.model.timeout&&this.set_timeout()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.timeout.change,()=>this.set_timeout()),this.connect(this.model.properties.snapshot.change,()=>this.snapshot()),this.connect(this.model.properties.paused.change,()=>this.pause())}pause(){this.model.paused&&(null!=this.timer&&(clearInterval(this.timer),this.timer=null),this.videoEl.pause()),this.set_timeout()}set_timeout(){this.timer&&(clearInterval(this.timer),this.timer=null),this.model.timeout>0&&(this.timer=setInterval(()=>this.snapshot(),this.model.timeout))}snapshot(){this.canvasEl.width=this.videoEl.videoWidth,this.canvasEl.height=this.videoEl.videoHeight;const e=this.canvasEl.getContext(\"2d\");e&&e.drawImage(this.videoEl,0,0,this.canvasEl.width,this.canvasEl.height),this.model.value=this.canvasEl.toDataURL(\"image/\"+this.model.format,.95)}remove(){super.remove(),this.timer&&(clearInterval(this.timer),this.timer=null)}render(){super.render(),this.videoEl||(this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.canvasEl=document.createElement(\"canvas\"),this.el.appendChild(this.videoEl),navigator.mediaDevices.getUserMedia&&navigator.mediaDevices.getUserMedia(this.constraints).then(e=>{this.videoEl.srcObject=e,this.model.paused||this.videoEl.play()}).catch(console.error))}}i.VideoStreamView=a,a.__name__=\"VideoStreamView\";class l extends o.HTMLBox{constructor(e){super(e)}static init_VideoStream(){this.prototype.default_view=a,this.define({format:[s.String,\"png\"],paused:[s.Boolean,!1],snapshot:[s.Boolean,!1],timeout:[s.Number,0],value:[s.Any]}),this.override({height:240,width:320})}}i.VideoStream=l,l.__name__=\"VideoStream\",l.__module__=\"panel.models.widgets\",l.init_VideoStream()},\n      \"ecfbb965eb\": function _(e,o,l){Object.defineProperty(l,\"__esModule\",{value:!0});var V=e(\"5b5e56e89a\");l.VTKPlot=V.VTKPlot;var t=e(\"729dd26c71\");l.VTKVolumePlot=t.VTKVolumePlot;var K=e(\"e23461e5d7\");l.VTKAxes=K.VTKAxes},\n      \"5b5e56e89a\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/core/dom\"),a=e(\"c704c63c0a\"),o=e(\"aaf560d219\");class r extends a.AbstractVTKView{constructor(){super(...arguments),this._axes_initialized=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.axes.change,()=>{this._delete_axes(),this.model.axes&&this._set_axes(),this._vtk_renwin.getRenderWindow().render()}),this.el.addEventListener(\"mouseenter\",()=>{const e=this._vtk_renwin.getInteractor();this.model.enable_keybindings&&(document.querySelector(\"body\").addEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").addEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").addEventListener(\"keyup\",e.handleKeyUp))}),this.el.addEventListener(\"mouseleave\",()=>{const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)})}render(){super.render(),this._axes=null,this._axes_initialized=!1,this._plot()}after_layout(){this._axes_initialized||(this._render_axes_canvas(),this._axes_initialized=!0)}_render_axes_canvas(){const e=this._vtk_container.getElementsByTagName(\"canvas\");if(1!=e.length)throw Error(\"Error at initialization of the 3D scene, container should have one and only one canvas\");e[0].classList.add(\"scene3d-canvas\");const t=i.canvas({style:{position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"}});t.classList.add(\"axes-canvas\"),this._vtk_container.appendChild(t),this._vtk_renwin.setResizeCallback(()=>{const e=this._vtk_container.getBoundingClientRect(),n=Math.floor(e.width*window.devicePixelRatio),s=Math.floor(e.height*window.devicePixelRatio);t.setAttribute(\"width\",n.toFixed()),t.setAttribute(\"height\",s.toFixed())})}_delete_axes(){if(null==this._axes)return;Object.keys(this._axes).forEach(e=>this._vtk_renwin.getRenderer().removeActor(this._axes[e]));const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],t=e.getContext(\"2d\");t&&t.clearRect(0,0,e.clientWidth*window.devicePixelRatio,e.clientHeight*window.devicePixelRatio),this._axes=null}_set_axes(){if(this.model.axes){const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],{psActor:t,axesActor:n,gridActor:s}=this.model.axes.create_axes(e);this._axes={psActor:t,axesActor:n,gridActor:s},this._vtk_renwin.getRenderer().addActor(t),this._vtk_renwin.getRenderer().addActor(n),this._vtk_renwin.getRenderer().addActor(s)}}_plot(){if(!this.model.data)return void this._vtk_renwin.getRenderWindow().render();const e=o.vtkns.DataAccessHelper.get(\"zip\",{zipContent:atob(this.model.data),callback:t=>{const n=o.vtkns.HttpSceneLoader.newInstance({renderer:this._vtk_renwin.getRenderer(),dataAccessHelper:e}),s=o.vtk.macro.debounce(()=>{null==this._axes&&this.model.axes&&this._set_axes(),this.model.properties.camera.change.emit()},100);n.setUrl(\"index.json\"),n.onReady(s)}})}}n.VTKPlotView=r,r.__name__=\"VTKPlotView\";class d extends a.AbstractVTKPlot{constructor(e){super(e),this.outline=o.vtkns.OutlineFilter.newInstance();const t=o.vtkns.Mapper.newInstance();t.setInputConnection(this.outline.getOutputPort()),this.outline_actor=o.vtkns.Actor.newInstance(),this.outline_actor.setMapper(t)}static init_VTKPlot(){this.prototype.default_view=r,this.define({data:[s.String],axes:[s.Instance],enable_keybindings:[s.Boolean,!1]})}}n.VTKPlot=d,d.__name__=\"VTKPlot\",d.init_VTKPlot()},\n      \"c704c63c0a\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"@bokehjs/core/dom\"),s=e(\"@bokehjs/core/util/object\"),a=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"7116a7a602\"),_=e(\"aaf560d219\");class d extends o.PanelHTMLBoxView{constructor(){super(...arguments),this._setting_camera=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>{this.invalidate_render()}),this.connect(this.model.properties.orientation_widget.change,()=>{this._orientation_widget_visibility(this.model.orientation_widget)}),this.connect(this.model.properties.camera.change,()=>this._set_camera_state())}_orientation_widget_visibility(e){this._orientationWidget.setEnabled(e),e?this._widgetManager.enablePicking():this._widgetManager.disablePicking(),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderWindow().render()}_create_orientation_widget(){const e=_.vtkns.AxesActor.newInstance(),t=_.vtkns.OrientationMarkerWidget.newInstance({actor:e,interactor:this._vtk_renwin.getInteractor()});t.setEnabled(!0),t.setViewportCorner(_.vtkns.OrientationMarkerWidget.Corners.BOTTOM_RIGHT),t.setViewportSize(.15),t.setMinPixelSize(100),t.setMaxPixelSize(300),this._orientationWidget=t;const i=_.vtkns.WidgetManager.newInstance();i.setRenderer(t.getRenderer());const n=_.vtkns.InteractiveOrientationWidget.newInstance();n.placeWidget(e.getBounds()),n.setBounds(e.getBounds()),n.setPlaceFactor(1);const r=i.addWidget(n);this._widgetManager=i,r.onOrientationChange(({direction:e})=>{const t=this._vtk_renwin.getRenderer().getActiveCamera(),i=t.getFocalPoint(),n=t.getPosition(),r=t.getViewUp(),s=Math.sqrt(Math.pow(n[0]-i[0],2)+Math.pow(n[1]-i[1],2)+Math.pow(n[2]-i[2],2));t.setPosition(i[0]+e[0]*s,i[1]+e[1]*s,i[2]+e[2]*s),e[0]&&t.setViewUp(_.majorAxis(r,1,2)),e[1]&&t.setViewUp(_.majorAxis(r,0,2)),e[2]&&t.setViewUp(_.majorAxis(r,0,1)),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}),this._orientation_widget_visibility(this.model.orientation_widget)}_get_camera_state(){if(!this._setting_camera){this._setting_camera=!0;const e=s.clone(this._vtk_renwin.getRenderer().getActiveCamera().get());delete e.classHierarchy,delete e.vtkObject,delete e.vtkCamera,delete e.viewPlaneNormal,this.model.camera=e,this._setting_camera=!1}}_set_camera_state(){if(!this._setting_camera){this._setting_camera=!0;try{this.model.camera&&this._vtk_renwin.getRenderer().getActiveCamera().set(this.model.camera)}finally{this._setting_camera=!1}this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}}render(){super.render(),this._orientationWidget=null,this._vtk_container=r.div(),o.set_size(this._vtk_container,this.model),this.el.appendChild(this._vtk_container),this._vtk_renwin=_.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container}),this._remove_default_key_binding(),this._create_orientation_widget(),this._vtk_renwin.getRenderer().getActiveCamera().onModified(()=>this._get_camera_state()),this._set_camera_state(),this.model.renderer_el=this._vtk_renwin}after_layout(){super.after_layout(),this._vtk_renwin.resize()}_remove_default_key_binding(){const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}}i.AbstractVTKView=d,d.__name__=\"AbstractVTKView\";class c extends a.HTMLBox{constructor(e){super(e)}getActors(){return this.renderer_el.getRenderer().getActors()}static init_AbstractVTKPlot(){this.define({orientation_widget:[n.Boolean,!1],camera:[n.Instance]}),this.override({height:300,width:300})}}i.AbstractVTKPlot=c,c.__name__=\"AbstractVTKPlot\",c.__module__=\"panel.models.vtk\",c.init_AbstractVTKPlot()},\n      \"aaf560d219\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"@bokehjs/core/util/array\");function a(t){const e=Math.min(Math.max(Math.round(t),0),255).toString(16);return 2==e.length?e:\"0\"+e}function o(t,e,n){return\"#\"+a(t)+a(e)+a(n)}function i(t){for(var e=new ArrayBuffer(t.length),n=new Uint8Array(e),r=0,a=t.length;r<a;r++)n[r]=t.charCodeAt(r);return e}n.ARRAY_TYPES={uint8:Uint8Array,int8:Int8Array,uint16:Uint16Array,int16:Int16Array,uint32:Uint32Array,int32:Int32Array,float32:Float32Array,float64:Float64Array},n.vtk=window.vtk,n.vtkns={},n.vtk&&(n.vtkns.DataArray=n.vtk.Common.Core.vtkDataArray,n.vtkns.ImageData=n.vtk.Common.DataModel.vtkImageData,n.vtkns.OutlineFilter=n.vtk.Filters.General.vtkOutlineFilter,n.vtkns.CubeSource=n.vtk.Filters.Sources.vtkCubeSource,n.vtkns.LineSource=n.vtk.Filters.Sources.vtkLineSource,n.vtkns.PlaneSource=n.vtk.Filters.Sources.vtkPlaneSource,n.vtkns.PointSource=n.vtk.Filters.Sources.vtkPointSource,n.vtkns.OrientationMarkerWidget=n.vtk.Interaction.Widgets.vtkOrientationMarkerWidget,n.vtkns.DataAccessHelper=n.vtk.IO.Core.DataAccessHelper,n.vtkns.HttpSceneLoader=n.vtk.IO.Core.vtkHttpSceneLoader,n.vtkns.ImageSlice=n.vtk.Rendering.Core.vtkImageSlice,n.vtkns.Actor=n.vtk.Rendering.Core.vtkActor,n.vtkns.AxesActor=n.vtk.Rendering.Core.vtkAxesActor,n.vtkns.Mapper=n.vtk.Rendering.Core.vtkMapper,n.vtkns.ImageMapper=n.vtk.Rendering.Core.vtkImageMapper,n.vtkns.SphereMapper=n.vtk.Rendering.Core.vtkSphereMapper,n.vtkns.WidgetManager=n.vtk.Widgets.Core.vtkWidgetManager,n.vtkns.InteractiveOrientationWidget=n.vtk.Widgets.Widgets3D.vtkInteractiveOrientationWidget,n.vtkns.PixelSpaceCallbackMapper=n.vtk.Rendering.Core.vtkPixelSpaceCallbackMapper,n.vtkns.FullScreenRenderWindow=n.vtk.Rendering.Misc.vtkFullScreenRenderWindow,n.vtkns.VolumeController=n.vtk.Interaction.UI.vtkVolumeController,n.vtkns.Volume=n.vtk.Rendering.Core.vtkVolume,n.vtkns.VolumeMapper=n.vtk.Rendering.Core.vtkVolumeMapper,n.vtkns.ColorTransferFunction=n.vtk.Rendering.Core.vtkColorTransferFunction,n.vtkns.PiecewiseFunction=n.vtk.Common.DataModel.vtkPiecewiseFunction,n.vtkns.BoundingBox=n.vtk.Common.DataModel.vtkBoundingBox),n.hexToRGB=function(t){return[parseInt(t.slice(1,3),16)/255,parseInt(t.slice(3,5),16)/255,parseInt(t.slice(5,7),16)/255]},n.rgbToHex=o,n.vtkLutToMapper=function(t){const{scale:e,nodes:a}=t.get(\"scale\",\"nodes\");if(e!==n.vtkns.ColorTransferFunction.Scale.LINEAR)throw\"Error transfer function scale not handle\";const i=a.map(t=>t.x),s=Math.min(...i),k=Math.max(...i),v=r.linspace(s,k,255),c=[0,0,0];return{low:s,high:k,palette:v.map(e=>(t.getColor(e,c),o(255*c[0],255*c[1],255*c[2])))}},n.data2VTKImageData=function(t){const e=n.vtkns.ImageData.newInstance({spacing:t.spacing});e.setDimensions(t.dims),e.setOrigin(null!=t.origin?t.origin:t.dims.map(t=>t/2));const r=n.vtkns.DataArray.newInstance({name:\"scalars\",numberOfComponents:1,values:new n.ARRAY_TYPES[t.dtype](i(atob(t.buffer)))});return e.getPointData().setScalars(r),e},n.majorAxis=function(t,e,n){const r=[0,0,0],a=Math.abs(t[e])>Math.abs(t[n])?e:n,o=t[a]>0?1:-1;return r[a]=o,r},n.cartesian_product=function(...t){return t.reduce((t,e)=>t.flatMap(t=>e.map(e=>[].concat(t,e))))}},\n      \"729dd26c71\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"c704c63c0a\"),n=e(\"aaf560d219\");class o extends r.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.colormap.change,()=>{this.colormap_slector.value=this.model.colormap;const e=new Event(\"change\");this.colormap_slector.dispatchEvent(e)}),this.connect(this.model.properties.shadow.change,()=>{this.shadow_selector.value=this.model.shadow?\"1\":\"0\";const e=new Event(\"change\");this.shadow_selector.dispatchEvent(e)}),this.connect(this.model.properties.sampling.change,()=>{this.sampling_slider.value=this.model.sampling.toFixed(2);const e=new Event(\"input\");this.sampling_slider.dispatchEvent(e)}),this.connect(this.model.properties.edge_gradient.change,()=>{this.edge_gradient_slider.value=this.model.edge_gradient.toFixed(2);const e=new Event(\"input\");this.edge_gradient_slider.dispatchEvent(e)}),this.connect(this.model.properties.rescale.change,()=>{this._controllerWidget.setRescaleColorMap(this.model.rescale),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.ambient.change,()=>{this.volume.getProperty().setAmbient(this.model.ambient),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.diffuse.change,()=>{this.volume.getProperty().setDiffuse(this.model.diffuse),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular.change,()=>{this.volume.getProperty().setSpecular(this.model.specular),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular_power.change,()=>{this.volume.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_volume.change,()=>{this._set_volume_visibility(this.model.display_volume),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_slices.change,()=>{this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_i.change,()=>{this.image_actor_i.getMapper().setISlice(this.model.slice_i),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_j.change,()=>{this.image_actor_j.getMapper().setJSlice(this.model.slice_j),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_k.change,()=>{this.image_actor_k.getMapper().setKSlice(this.model.slice_k),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.render_background.change,()=>{this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.interpolation.change,()=>{this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderWindow().render()})}get volume(){return this._controllerWidget.getActor()}get image_actor_i(){return this._vtk_renwin.getRenderer().getActors()[0]}get image_actor_j(){return this._vtk_renwin.getRenderer().getActors()[1]}get image_actor_k(){return this._vtk_renwin.getRenderer().getActors()[2]}get shadow_selector(){return this.el.querySelector(\".js-shadow\")}get edge_gradient_slider(){return this.el.querySelector(\".js-edge\")}get sampling_slider(){return this.el.querySelector(\".js-spacing\")}get colormap_slector(){return this.el.querySelector(\".js-color-preset\")}_set_interpolation(e){\"fast_linear\"==e?(this.volume.getProperty().setInterpolationTypeToFastLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):\"linear\"==e?(this.volume.getProperty().setInterpolationTypeToLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):(this.volume.getProperty().setInterpolationTypeToNearest(),this.image_actor_i.getProperty().setInterpolationTypeToNearest())}render(){super.render(),this._controllerWidget=n.vtkns.VolumeController.newInstance({size:[400,150],rescaleColorMap:this.model.rescale}),this._vtk_image_data=n.data2VTKImageData(this.model.data),this._controllerWidget.setContainer(this.el),this._vtk_renwin.getRenderWindow().getInteractor(),this._vtk_renwin.getRenderWindow().getInteractor().setDesiredUpdateRate(45),this._plot_volume(),this._connect_controls(),this._plot_slices(),this._set_volume_visibility(this.model.display_volume),this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderer().resetCamera()}_connect_controls(){this.colormap_slector.addEventListener(\"change\",()=>{this.model.colormap=this.colormap_slector.value}),this.model.colormap?this.model.properties.colormap.change.emit():this.model.colormap=this.colormap_slector.value,this.shadow_selector.addEventListener(\"change\",()=>{this.model.shadow=!!Number(this.shadow_selector.value)}),(this.model.shadow=!!Number(this.shadow_selector.value))&&this.model.properties.shadow.change.emit(),this.sampling_slider.addEventListener(\"input\",()=>{const e=Number(this.sampling_slider.value);Math.abs(this.model.sampling-e)>=.005&&(this.model.sampling=e)}),Math.abs(this.model.sampling-Number(this.shadow_selector.value))>=.005&&this.model.properties.sampling.change.emit(),this.edge_gradient_slider.addEventListener(\"input\",()=>{const e=Number(this.edge_gradient_slider.value);Math.abs(this.model.edge_gradient-e)>=.005&&(this.model.edge_gradient=e)}),Math.abs(this.model.edge_gradient-Number(this.edge_gradient_slider.value))>=.005&&this.model.properties.edge_gradient.change.emit()}_plot_volume(){const e=this._vtk_image_data,t=n.vtkns.Volume.newInstance(),i=n.vtkns.VolumeMapper.newInstance();t.setMapper(i),i.setInputData(e);const s=(e.getPointData().getScalars()||e.getPointData().getArrays()[0]).getRange(),r=n.vtkns.ColorTransferFunction.newInstance();r.onModified(()=>this.model.mapper=n.vtkLutToMapper(r));const o=n.vtkns.PiecewiseFunction.newInstance(),a=.7*Math.sqrt(e.getSpacing().map(e=>e*e).reduce((e,t)=>e+t,0));i.setSampleDistance(a),t.getProperty().setRGBTransferFunction(0,r),t.getProperty().setScalarOpacity(0,o),t.getProperty().setInterpolationTypeToFastLinear(),t.getProperty().setScalarOpacityUnitDistance(0,n.vtkns.BoundingBox.getDiagonalLength(e.getBounds())/Math.max(...e.getDimensions())),t.getProperty().setGradientOpacityMinimumValue(0,0),t.getProperty().setGradientOpacityMaximumValue(0,.05*(s[1]-s[0])),t.getProperty().setShade(this.model.shadow),t.getProperty().setUseGradientOpacity(0,!0),t.getProperty().setGradientOpacityMinimumOpacity(0,0),t.getProperty().setGradientOpacityMaximumOpacity(0,1),t.getProperty().setAmbient(this.model.ambient),t.getProperty().setDiffuse(this.model.diffuse),t.getProperty().setSpecular(this.model.specular),t.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderer().addVolume(t),this._controllerWidget.setupContent(this._vtk_renwin.getRenderWindow(),t,!0)}_plot_slices(){const e=this._vtk_image_data,t=n.vtkns.ImageSlice.newInstance(),i=n.vtkns.ImageSlice.newInstance(),s=n.vtkns.ImageSlice.newInstance(),r=n.vtkns.ImageMapper.newInstance(),o=n.vtkns.ImageMapper.newInstance(),a=n.vtkns.ImageMapper.newInstance();r.setInputData(e),r.setISlice(this.model.slice_i),t.setMapper(r),o.setInputData(e),o.setJSlice(this.model.slice_j),i.setMapper(o),a.setInputData(e),a.setKSlice(this.model.slice_k),s.setMapper(a);const l=n.vtkns.PiecewiseFunction.newInstance();l.removeAllPoints(),l.addPoint(0,1);const c=this.volume.getProperty().getRGBTransferFunction(0),d=t.getProperty();i.setProperty(d),s.setProperty(d),d.setRGBTransferFunction(c),d.setScalarOpacity(l);const h=this._vtk_renwin.getRenderer();h.addActor(t),h.addActor(i),h.addActor(s)}_set_volume_visibility(e){this.volume.setVisibility(e)}_set_slices_visibility(e){this._vtk_renwin.getRenderer().getActors().map(t=>t.setVisibility(e))}}i.VTKVolumePlotView=o,o.__name__=\"VTKVolumePlotView\";class a extends r.AbstractVTKPlot{constructor(e){super(e)}static init_VTKVolumePlot(){this.prototype.default_view=o,this.define({data:[s.Instance],shadow:[s.Boolean,!0],sampling:[s.Number,.4],edge_gradient:[s.Number,.2],colormap:[s.String],rescale:[s.Boolean,!1],ambient:[s.Number,.2],diffuse:[s.Number,.7],specular:[s.Number,.3],specular_power:[s.Number,8],slice_i:[s.Int,0],slice_j:[s.Int,0],slice_k:[s.Int,0],display_volume:[s.Boolean,!0],display_slices:[s.Boolean,!1],render_background:[s.String,\"#52576e\"],interpolation:[s.Any,\"fast_linear\"],mapper:[s.Instance]})}}i.VTKVolumePlot=a,a.__name__=\"VTKVolumePlot\",a.init_VTKVolumePlot()},\n      \"e23461e5d7\": function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(\"tslib\"),n=t(\"2f3fd5db07\"),a=t(\"@bokehjs/model\"),c=e.__importStar(t(\"@bokehjs/core/properties\")),r=t(\"aaf560d219\");class h extends a.Model{constructor(t){super(t)}static init_VTKAxes(){this.define({origin:[c.Array],xticker:[c.Instance],yticker:[c.Instance],zticker:[c.Instance],digits:[c.Number,1],show_grid:[c.Boolean,!0],grid_opacity:[c.Number,.1],axes_opacity:[c.Number,1],fontsize:[c.Number,12]})}get xticks(){return this.xticker.ticks}get yticks(){return this.yticker.ticks}get zticks(){return this.zticker.ticks}get xlabels(){return this.xticker.labels?this.xticker.labels:this.xticks.map(t=>t.toFixed(this.digits))}get ylabels(){return this.yticker.labels?this.yticker.labels:this.yticks.map(t=>t.toFixed(this.digits))}get zlabels(){return this.zticker.labels?this.zticker.labels:this.zticks.map(t=>t.toFixed(this.digits))}_make_grid_lines(t,s,i){const e=[];for(let n=0;n<t-1;n++)for(let t=0;t<s-1;t++){const a=n*s+t+i,c=[5,a,n*s+t+1+i,(n+1)*s+t+1+i,(n+1)*s+t+i,a];e.push(c)}return e}_create_grid_axes(){const t=[];t.push(r.cartesian_product(this.xticks,this.yticks,[this.origin[2]])),t.push(r.cartesian_product([this.origin[0]],this.yticks,this.zticks)),t.push(r.cartesian_product(this.xticks,[this.origin[1]],this.zticks));const s=[];let i=0;s.push(this._make_grid_lines(this.xticks.length,this.yticks.length,i)),i+=this.xticks.length*this.yticks.length,s.push(this._make_grid_lines(this.yticks.length,this.zticks.length,i)),i+=this.yticks.length*this.zticks.length,s.push(this._make_grid_lines(this.xticks.length,this.zticks.length,i));const e=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:t.flat(2)},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:s.flat(2)}}),n=r.vtkns.Mapper.newInstance(),a=r.vtkns.Actor.newInstance();return n.setInputData(e),a.setMapper(n),a.getProperty().setOpacity(this.grid_opacity),a.setVisibility(this.show_grid),a}create_axes(t){const s=[this.xticks,this.yticks,this.zticks].map((t,s)=>{let i=null;switch(s){case 0:i=r.cartesian_product(t,[this.origin[1]],[this.origin[2]]);break;case 1:i=r.cartesian_product([this.origin[0]],t,[this.origin[2]]);break;case 2:i=r.cartesian_product([this.origin[0]],[this.origin[1]],t)}return i}).flat(2),i=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:s},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:[2,0,this.xticks.length-1,2,this.xticks.length,this.xticks.length+this.yticks.length-1,2,this.xticks.length+this.yticks.length,this.xticks.length+this.yticks.length+this.zticks.length-1]}}),e=r.vtkns.PixelSpaceCallbackMapper.newInstance();e.setInputData(i),e.setUseZValues(!0),e.setCallback((s,i,a)=>{const c=t.getContext(\"2d\");if(c){const r={height:t.clientHeight*window.devicePixelRatio,width:t.clientWidth*window.devicePixelRatio},h=e.getInputData().getPoints(),l=i.getViewMatrix();n.mat4.transpose(l,l);const o=i.getProjectionMatrix(a,-1,1);n.mat4.transpose(o,o),c.clearRect(0,0,r.width,r.height),s.forEach((t,s)=>{const i=h.getPoint(s),e=n.vec3.fromValues(i[0],i[1],i[2]);if(n.vec3.transformMat4(e,e,l),e[2]+=.05,n.vec3.transformMat4(e,e,o),e[2]-.001<t[3]){let i;c.font=\"30px serif\",c.textAlign=\"center\",c.textBaseline=\"alphabetic\",c.fillText(\".\",t[0],r.height-t[1]+2),c.font=this.fontsize*window.devicePixelRatio+\"px serif\",c.textAlign=\"right\",c.textBaseline=\"top\",i=s<this.xticks.length?this.xlabels[s]:s>=this.xticks.length&&s<this.xticks.length+this.yticks.length?this.ylabels[s-this.xticks.length]:this.zlabels[s-(this.xticks.length+this.yticks.length)],c.fillText(\"\"+i,t[0],r.height-t[1])}})}});const a=r.vtkns.Actor.newInstance();a.setMapper(e);const c=r.vtkns.Mapper.newInstance();c.setInputData(i);const h=r.vtkns.Actor.newInstance();return h.setMapper(c),h.getProperty().setOpacity(this.axes_opacity),{psActor:a,axesActor:h,gridActor:this._create_grid_axes()}}}i.VTKAxes=h,h.__name__=\"VTKAxes\",h.__module__=\"panel.models.vtk\",h.init_VTKAxes()},\n      \"2f3fd5db07\": function _(t,c,a){Object.defineProperty(a,\"__esModule\",{value:!0});const o=t(\"tslib\"),r=o.__importStar(t(\"68ca94c15c\"));a.glMatrix=r;const _=o.__importStar(t(\"7c0b8e6048\"));a.mat2=_;const e=o.__importStar(t(\"dc03f0a621\"));a.mat2d=e;const i=o.__importStar(t(\"0285c50a7e\"));a.mat3=i;const m=o.__importStar(t(\"a427635f32\"));a.mat4=m;const n=o.__importStar(t(\"eb06fc032a\"));a.quat=n;const s=o.__importStar(t(\"277615c682\"));a.quat2=s;const p=o.__importStar(t(\"c56d9ff837\"));a.vec2=p;const S=o.__importStar(t(\"2c5eb22089\"));a.vec3=S;const f=o.__importStar(t(\"c1aa33d719\"));a.vec4=f},\n      \"68ca94c15c\": function _(t,a,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.EPSILON=1e-6,r.ARRAY_TYPE=\"undefined\"!=typeof 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t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t},r.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t},r.fromValues=function(t,n,r,u){var e=new a.ARRAY_TYPE(4);return e[0]=t,e[1]=n,e[2]=r,e[3]=u,e},r.set=function(t,n,r,a,u){return t[0]=n,t[1]=r,t[2]=a,t[3]=u,t},r.transpose=function(t,n){if(t===n){var r=n[1];t[1]=n[2],t[2]=r}else t[0]=n[0],t[1]=n[2],t[2]=n[1],t[3]=n[3];return t},r.invert=function(t,n){var r=n[0],a=n[1],u=n[2],e=n[3],o=r*e-u*a;return o?(o=1/o,t[0]=e*o,t[1]=-a*o,t[2]=-u*o,t[3]=r*o,t):null},r.adjoint=function(t,n){var r=n[0];return t[0]=n[3],t[1]=-n[1],t[2]=-n[2],t[3]=r,t},r.determinant=function(t){return t[0]*t[3]-t[2]*t[1]},r.multiply=u,r.rotate=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=Math.sin(r),i=Math.cos(r);return t[0]=a*i+e*c,t[1]=u*i+o*c,t[2]=a*-c+e*i,t[3]=u*-c+o*i,t},r.scale=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1];return t[0]=a*c,t[1]=u*c,t[2]=e*i,t[3]=o*i,t},r.fromRotation=function(t,n){var r=Math.sin(n),a=Math.cos(n);return 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t[0]=f*r+b*e+l*s,t[1]=f*u+b*i+l*M,t[2]=f*o+b*c+l*h,t[3]=m*r+v*e+E*s,t[4]=m*u+v*i+E*M,t[5]=m*o+v*c+E*h,t[6]=P*r+S*e+d*s,t[7]=P*u+S*i+d*M,t[8]=P*o+S*c+d*h,t}function o(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t}n.create=function(){var t=new r.ARRAY_TYPE(9);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},n.fromMat4=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[4],t[4]=a[5],t[5]=a[6],t[6]=a[8],t[7]=a[9],t[8]=a[10],t},n.clone=function(t){var a=new r.ARRAY_TYPE(9);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromValues=function(t,a,n,u,o,e,i,c,s){var M=new r.ARRAY_TYPE(9);return M[0]=t,M[1]=a,M[2]=n,M[3]=u,M[4]=o,M[5]=e,M[6]=i,M[7]=c,M[8]=s,M},n.set=function(t,a,n,r,u,o,e,i,c,s){return t[0]=a,t[1]=n,t[2]=r,t[3]=u,t[4]=o,t[5]=e,t[6]=i,t[7]=c,t[8]=s,t},n.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],u=a[5];t[1]=a[3],t[2]=a[6],t[3]=n,t[5]=a[7],t[6]=r,t[7]=u}else t[0]=a[0],t[1]=a[3],t[2]=a[6],t[3]=a[1],t[4]=a[4],t[5]=a[7],t[6]=a[2],t[7]=a[5],t[8]=a[8];return t},n.invert=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=M*e-i*s,f=-M*o+i*c,b=s*o-e*c,l=n*h+r*f+u*b;return l?(l=1/l,t[0]=h*l,t[1]=(-M*r+u*s)*l,t[2]=(i*r-u*e)*l,t[3]=f*l,t[4]=(M*n-u*c)*l,t[5]=(-i*n+u*o)*l,t[6]=b*l,t[7]=(-s*n+r*c)*l,t[8]=(e*n-r*o)*l,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8];return t[0]=e*M-i*s,t[1]=u*s-r*M,t[2]=r*i-u*e,t[3]=i*c-o*M,t[4]=n*M-u*c,t[5]=u*o-n*i,t[6]=o*s-e*c,t[7]=r*c-n*s,t[8]=n*e-r*o,t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],u=t[3],o=t[4],e=t[5],i=t[6],c=t[7],s=t[8];return a*(s*o-e*c)+n*(-s*u+e*i)+r*(c*u-o*i)},n.multiply=u,n.translate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1];return t[0]=r,t[1]=u,t[2]=o,t[3]=e,t[4]=i,t[5]=c,t[6]=f*r+b*e+s,t[7]=f*u+b*i+M,t[8]=f*o+b*c+h,t},n.rotate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=Math.sin(n),b=Math.cos(n);return t[0]=b*r+f*e,t[1]=b*u+f*i,t[2]=b*o+f*c,t[3]=b*e-f*r,t[4]=b*i-f*u,t[5]=b*c-f*o,t[6]=s,t[7]=M,t[8]=h,t},n.scale=function(t,a,n){var r=n[0],u=n[1];return t[0]=r*a[0],t[1]=r*a[1],t[2]=r*a[2],t[3]=u*a[3],t[4]=u*a[4],t[5]=u*a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=a[0],t[7]=a[1],t[8]=1,t},n.fromRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=-n,t[4]=r,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=a[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromMat2d=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=0,t[3]=a[2],t[4]=a[3],t[5]=0,t[6]=a[4],t[7]=a[5],t[8]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=n+n,i=r+r,c=u+u,s=n*e,M=r*e,h=r*i,f=u*e,b=u*i,l=u*c,m=o*e,v=o*i,E=o*c;return t[0]=1-h-l,t[3]=M-E,t[6]=f+v,t[1]=M+E,t[4]=1-s-l,t[7]=b-m,t[2]=f-v,t[5]=b+m,t[8]=1-s-h,t},n.normalFromMat4=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],E=a[15],P=n*i-r*e,S=n*c-u*e,d=n*s-o*e,A=r*c-u*i,x=r*s-o*i,O=u*s-o*c,p=M*m-h*l,I=M*v-f*l,L=M*E-b*l,N=h*v-f*m,R=h*E-b*m,_=f*E-b*v,y=P*_-S*R+d*N+A*L-x*I+O*p;return y?(y=1/y,t[0]=(i*_-c*R+s*N)*y,t[1]=(c*L-e*_-s*I)*y,t[2]=(e*R-i*L+s*p)*y,t[3]=(u*R-r*_-o*N)*y,t[4]=(n*_-u*L+o*I)*y,t[5]=(r*L-n*R-o*p)*y,t[6]=(m*O-v*x+E*A)*y,t[7]=(v*d-l*O-E*S)*y,t[8]=(l*x-m*d+E*P)*y,t):null},n.projection=function(t,a,n){return t[0]=2/a,t[1]=0,t[2]=0,t[3]=0,t[4]=-2/n,t[5]=0,t[6]=-1,t[7]=1,t[8]=1,t},n.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t},n.subtract=o,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]},n.equals=function(t,a){var n=t[0],u=t[1],o=t[2],e=t[3],i=t[4],c=t[5],s=t[6],M=t[7],h=t[8],f=a[0],b=a[1],l=a[2],m=a[3],v=a[4],E=a[5],P=a[6],S=a[7],d=a[8];return Math.abs(n-f)<=r.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(u-b)<=r.EPSILON*Math.max(1,Math.abs(u),Math.abs(b))&&Math.abs(o-l)<=r.EPSILON*Math.max(1,Math.abs(o),Math.abs(l))&&Math.abs(e-m)<=r.EPSILON*Math.max(1,Math.abs(e),Math.abs(m))&&Math.abs(i-v)<=r.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(c-E)<=r.EPSILON*Math.max(1,Math.abs(c),Math.abs(E))&&Math.abs(s-P)<=r.EPSILON*Math.max(1,Math.abs(s),Math.abs(P))&&Math.abs(M-S)<=r.EPSILON*Math.max(1,Math.abs(M),Math.abs(S))&&Math.abs(h-d)<=r.EPSILON*Math.max(1,Math.abs(h),Math.abs(d))},n.mul=u,n.sub=o},\n      \"a427635f32\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function h(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function o(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],v=a[12],m=a[13],P=a[14],E=a[15],S=n[0],I=n[1],O=n[2],p=n[3];return t[0]=S*r+I*M+O*c+p*v,t[1]=S*h+I*e+O*f+p*m,t[2]=S*o+I*s+O*b+p*P,t[3]=S*u+I*i+O*l+p*E,S=n[4],I=n[5],O=n[6],p=n[7],t[4]=S*r+I*M+O*c+p*v,t[5]=S*h+I*e+O*f+p*m,t[6]=S*o+I*s+O*b+p*P,t[7]=S*u+I*i+O*l+p*E,S=n[8],I=n[9],O=n[10],p=n[11],t[8]=S*r+I*M+O*c+p*v,t[9]=S*h+I*e+O*f+p*m,t[10]=S*o+I*s+O*b+p*P,t[11]=S*u+I*i+O*l+p*E,S=n[12],I=n[13],O=n[14],p=n[15],t[12]=S*r+I*M+O*c+p*v,t[13]=S*h+I*e+O*f+p*m,t[14]=S*o+I*s+O*b+p*P,t[15]=S*u+I*i+O*l+p*E,t}function u(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=r+r,e=h+h,s=o+o,i=r*M,c=r*e,f=r*s,b=h*e,l=h*s,v=o*s,m=u*M,P=u*e,E=u*s;return t[0]=1-(b+v),t[1]=c+E,t[2]=f-P,t[3]=0,t[4]=c-E,t[5]=1-(i+v),t[6]=l+m,t[7]=0,t[8]=f+P,t[9]=l-m,t[10]=1-(i+b),t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t}function M(t,a){var n=a[0],r=a[1],h=a[2],o=a[4],u=a[5],M=a[6],e=a[8],s=a[9],i=a[10];return t[0]=Math.hypot(n,r,h),t[1]=Math.hypot(o,u,M),t[2]=Math.hypot(e,s,i),t}function e(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t[9]=a[9]-n[9],t[10]=a[10]-n[10],t[11]=a[11]-n[11],t[12]=a[12]-n[12],t[13]=a[13]-n[13],t[14]=a[14]-n[14],t[15]=a[15]-n[15],t}n.create=function(){var t=new r.ARRAY_TYPE(16);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},n.clone=function(t){var a=new r.ARRAY_TYPE(16);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a[9]=t[9],a[10]=t[10],a[11]=t[11],a[12]=t[12],a[13]=t[13],a[14]=t[14],a[15]=t[15],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.fromValues=function(t,a,n,h,o,u,M,e,s,i,c,f,b,l,v,m){var P=new r.ARRAY_TYPE(16);return P[0]=t,P[1]=a,P[2]=n,P[3]=h,P[4]=o,P[5]=u,P[6]=M,P[7]=e,P[8]=s,P[9]=i,P[10]=c,P[11]=f,P[12]=b,P[13]=l,P[14]=v,P[15]=m,P},n.set=function(t,a,n,r,h,o,u,M,e,s,i,c,f,b,l,v,m){return t[0]=a,t[1]=n,t[2]=r,t[3]=h,t[4]=o,t[5]=u,t[6]=M,t[7]=e,t[8]=s,t[9]=i,t[10]=c,t[11]=f,t[12]=b,t[13]=l,t[14]=v,t[15]=m,t},n.identity=h,n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],h=a[3],o=a[6],u=a[7],M=a[11];t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=n,t[6]=a[9],t[7]=a[13],t[8]=r,t[9]=o,t[11]=a[14],t[12]=h,t[13]=u,t[14]=M}else t[0]=a[0],t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=a[1],t[5]=a[5],t[6]=a[9],t[7]=a[13],t[8]=a[2],t[9]=a[6],t[10]=a[10],t[11]=a[14],t[12]=a[3],t[13]=a[7],t[14]=a[11],t[15]=a[15];return t},n.invert=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15],E=n*M-r*u,S=n*e-h*u,I=n*s-o*u,O=r*e-h*M,p=r*s-o*M,L=h*s-o*e,N=i*v-c*l,R=i*m-f*l,x=i*P-b*l,y=c*m-f*v,A=c*P-b*v,Y=f*P-b*m,d=E*Y-S*A+I*y+O*x-p*R+L*N;return d?(d=1/d,t[0]=(M*Y-e*A+s*y)*d,t[1]=(h*A-r*Y-o*y)*d,t[2]=(v*L-m*p+P*O)*d,t[3]=(f*p-c*L-b*O)*d,t[4]=(e*x-u*Y-s*R)*d,t[5]=(n*Y-h*x+o*R)*d,t[6]=(m*I-l*L-P*S)*d,t[7]=(i*L-f*I+b*S)*d,t[8]=(u*A-M*x+s*N)*d,t[9]=(r*x-n*A-o*N)*d,t[10]=(l*p-v*I+P*E)*d,t[11]=(c*I-i*p-b*E)*d,t[12]=(M*R-u*y-e*N)*d,t[13]=(n*y-r*R+h*N)*d,t[14]=(v*S-l*O-m*E)*d,t[15]=(i*O-c*S+f*E)*d,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15];return t[0]=M*(f*P-b*m)-c*(e*P-s*m)+v*(e*b-s*f),t[1]=-(r*(f*P-b*m)-c*(h*P-o*m)+v*(h*b-o*f)),t[2]=r*(e*P-s*m)-M*(h*P-o*m)+v*(h*s-o*e),t[3]=-(r*(e*b-s*f)-M*(h*b-o*f)+c*(h*s-o*e)),t[4]=-(u*(f*P-b*m)-i*(e*P-s*m)+l*(e*b-s*f)),t[5]=n*(f*P-b*m)-i*(h*P-o*m)+l*(h*b-o*f),t[6]=-(n*(e*P-s*m)-u*(h*P-o*m)+l*(h*s-o*e)),t[7]=n*(e*b-s*f)-u*(h*b-o*f)+i*(h*s-o*e),t[8]=u*(c*P-b*v)-i*(M*P-s*v)+l*(M*b-s*c),t[9]=-(n*(c*P-b*v)-i*(r*P-o*v)+l*(r*b-o*c)),t[10]=n*(M*P-s*v)-u*(r*P-o*v)+l*(r*s-o*M),t[11]=-(n*(M*b-s*c)-u*(r*b-o*c)+i*(r*s-o*M)),t[12]=-(u*(c*m-f*v)-i*(M*m-e*v)+l*(M*f-e*c)),t[13]=n*(c*m-f*v)-i*(r*m-h*v)+l*(r*f-h*c),t[14]=-(n*(M*m-e*v)-u*(r*m-h*v)+l*(r*e-h*M)),t[15]=n*(M*f-e*c)-u*(r*f-h*c)+i*(r*e-h*M),t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],h=t[3],o=t[4],u=t[5],M=t[6],e=t[7],s=t[8],i=t[9],c=t[10],f=t[11],b=t[12],l=t[13],v=t[14],m=t[15];return(a*u-n*o)*(c*m-f*v)-(a*M-r*o)*(i*m-f*l)+(a*e-h*o)*(i*v-c*l)+(n*M-r*u)*(s*m-f*b)-(n*e-h*u)*(s*v-c*b)+(r*e-h*M)*(s*l-i*b)},n.multiply=o,n.translate=function(t,a,n){var r,h,o,u,M,e,s,i,c,f,b,l,v=n[0],m=n[1],P=n[2];return a===t?(t[12]=a[0]*v+a[4]*m+a[8]*P+a[12],t[13]=a[1]*v+a[5]*m+a[9]*P+a[13],t[14]=a[2]*v+a[6]*m+a[10]*P+a[14],t[15]=a[3]*v+a[7]*m+a[11]*P+a[15]):(r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],t[0]=r,t[1]=h,t[2]=o,t[3]=u,t[4]=M,t[5]=e,t[6]=s,t[7]=i,t[8]=c,t[9]=f,t[10]=b,t[11]=l,t[12]=r*v+M*m+c*P+a[12],t[13]=h*v+e*m+f*P+a[13],t[14]=o*v+s*m+b*P+a[14],t[15]=u*v+i*m+l*P+a[15]),t},n.scale=function(t,a,n){var r=n[0],h=n[1],o=n[2];return t[0]=a[0]*r,t[1]=a[1]*r,t[2]=a[2]*r,t[3]=a[3]*r,t[4]=a[4]*h,t[5]=a[5]*h,t[6]=a[6]*h,t[7]=a[7]*h,t[8]=a[8]*o,t[9]=a[9]*o,t[10]=a[10]*o,t[11]=a[11]*o,t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.rotate=function(t,a,n,h){var o,u,M,e,s,i,c,f,b,l,v,m,P,E,S,I,O,p,L,N,R,x,y,A,Y=h[0],d=h[1],g=h[2],T=Math.hypot(Y,d,g);return T<r.EPSILON?null:(Y*=T=1/T,d*=T,g*=T,o=Math.sin(n),M=1-(u=Math.cos(n)),e=a[0],s=a[1],i=a[2],c=a[3],f=a[4],b=a[5],l=a[6],v=a[7],m=a[8],P=a[9],E=a[10],S=a[11],I=Y*Y*M+u,O=d*Y*M+g*o,p=g*Y*M-d*o,L=Y*d*M-g*o,N=d*d*M+u,R=g*d*M+Y*o,x=Y*g*M+d*o,y=d*g*M-Y*o,A=g*g*M+u,t[0]=e*I+f*O+m*p,t[1]=s*I+b*O+P*p,t[2]=i*I+l*O+E*p,t[3]=c*I+v*O+S*p,t[4]=e*L+f*N+m*R,t[5]=s*L+b*N+P*R,t[6]=i*L+l*N+E*R,t[7]=c*L+v*N+S*R,t[8]=e*x+f*y+m*A,t[9]=s*x+b*y+P*A,t[10]=i*x+l*y+E*A,t[11]=c*x+v*y+S*A,a!==t&&(t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t)},n.rotateX=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[4],u=a[5],M=a[6],e=a[7],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[4]=o*h+s*r,t[5]=u*h+i*r,t[6]=M*h+c*r,t[7]=e*h+f*r,t[8]=s*h-o*r,t[9]=i*h-u*r,t[10]=c*h-M*r,t[11]=f*h-e*r,t},n.rotateY=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h-s*r,t[1]=u*h-i*r,t[2]=M*h-c*r,t[3]=e*h-f*r,t[8]=o*r+s*h,t[9]=u*r+i*h,t[10]=M*r+c*h,t[11]=e*r+f*h,t},n.rotateZ=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7];return a!==t&&(t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h+s*r,t[1]=u*h+i*r,t[2]=M*h+c*r,t[3]=e*h+f*r,t[4]=s*h-o*r,t[5]=i*h-u*r,t[6]=c*h-M*r,t[7]=f*h-e*r,t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=a[0],t[13]=a[1],t[14]=a[2],t[15]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=a[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotation=function(t,a,n){var h,o,u,M=n[0],e=n[1],s=n[2],i=Math.hypot(M,e,s);return i<r.EPSILON?null:(M*=i=1/i,e*=i,s*=i,h=Math.sin(a),u=1-(o=Math.cos(a)),t[0]=M*M*u+o,t[1]=e*M*u+s*h,t[2]=s*M*u-e*h,t[3]=0,t[4]=M*e*u-s*h,t[5]=e*e*u+o,t[6]=s*e*u+M*h,t[7]=0,t[8]=M*s*u+e*h,t[9]=e*s*u-M*h,t[10]=s*s*u+o,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},n.fromXRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=r,t[6]=n,t[7]=0,t[8]=0,t[9]=-n,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromYRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=0,t[2]=-n,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=n,t[9]=0,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromZRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=0,t[4]=-n,t[5]=r,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotationTranslation=u,n.fromQuat2=function(t,a){var n=new r.ARRAY_TYPE(3),h=-a[0],o=-a[1],M=-a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7],b=h*h+o*o+M*M+e*e;return b>0?(n[0]=2*(s*e+f*h+i*M-c*o)/b,n[1]=2*(i*e+f*o+c*h-s*M)/b,n[2]=2*(c*e+f*M+s*o-i*h)/b):(n[0]=2*(s*e+f*h+i*M-c*o),n[1]=2*(i*e+f*o+c*h-s*M),n[2]=2*(c*e+f*M+s*o-i*h)),u(t,a,n),t},n.getTranslation=function(t,a){return t[0]=a[12],t[1]=a[13],t[2]=a[14],t},n.getScaling=M,n.getRotation=function(t,a){var n=new r.ARRAY_TYPE(3);M(n,a);var h=1/n[0],o=1/n[1],u=1/n[2],e=a[0]*h,s=a[1]*o,i=a[2]*u,c=a[4]*h,f=a[5]*o,b=a[6]*u,l=a[8]*h,v=a[9]*o,m=a[10]*u,P=e+f+m,E=0;return P>0?(E=2*Math.sqrt(P+1),t[3]=.25*E,t[0]=(b-v)/E,t[1]=(l-i)/E,t[2]=(s-c)/E):e>f&&e>m?(E=2*Math.sqrt(1+e-f-m),t[3]=(b-v)/E,t[0]=.25*E,t[1]=(s+c)/E,t[2]=(l+i)/E):f>m?(E=2*Math.sqrt(1+f-e-m),t[3]=(l-i)/E,t[0]=(s+c)/E,t[1]=.25*E,t[2]=(b+v)/E):(E=2*Math.sqrt(1+m-e-f),t[3]=(s-c)/E,t[0]=(l+i)/E,t[1]=(b+v)/E,t[2]=.25*E),t},n.fromRotationTranslationScale=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=a[3],e=h+h,s=o+o,i=u+u,c=h*e,f=h*s,b=h*i,l=o*s,v=o*i,m=u*i,P=M*e,E=M*s,S=M*i,I=r[0],O=r[1],p=r[2];return t[0]=(1-(l+m))*I,t[1]=(f+S)*I,t[2]=(b-E)*I,t[3]=0,t[4]=(f-S)*O,t[5]=(1-(c+m))*O,t[6]=(v+P)*O,t[7]=0,t[8]=(b+E)*p,t[9]=(v-P)*p,t[10]=(1-(c+l))*p,t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t},n.fromRotationTranslationScaleOrigin=function(t,a,n,r,h){var o=a[0],u=a[1],M=a[2],e=a[3],s=o+o,i=u+u,c=M+M,f=o*s,b=o*i,l=o*c,v=u*i,m=u*c,P=M*c,E=e*s,S=e*i,I=e*c,O=r[0],p=r[1],L=r[2],N=h[0],R=h[1],x=h[2],y=(1-(v+P))*O,A=(b+I)*O,Y=(l-S)*O,d=(b-I)*p,g=(1-(f+P))*p,T=(m+E)*p,_=(l+S)*L,q=(m-E)*L,w=(1-(f+v))*L;return t[0]=y,t[1]=A,t[2]=Y,t[3]=0,t[4]=d,t[5]=g,t[6]=T,t[7]=0,t[8]=_,t[9]=q,t[10]=w,t[11]=0,t[12]=n[0]+N-(y*N+d*R+_*x),t[13]=n[1]+R-(A*N+g*R+q*x),t[14]=n[2]+x-(Y*N+T*R+w*x),t[15]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=n+n,M=r+r,e=h+h,s=n*u,i=r*u,c=r*M,f=h*u,b=h*M,l=h*e,v=o*u,m=o*M,P=o*e;return t[0]=1-c-l,t[1]=i+P,t[2]=f-m,t[3]=0,t[4]=i-P,t[5]=1-s-l,t[6]=b+v,t[7]=0,t[8]=f+m,t[9]=b-v,t[10]=1-s-c,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.frustum=function(t,a,n,r,h,o,u){var M=1/(n-a),e=1/(h-r),s=1/(o-u);return t[0]=2*o*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*o*e,t[6]=0,t[7]=0,t[8]=(n+a)*M,t[9]=(h+r)*e,t[10]=(u+o)*s,t[11]=-1,t[12]=0,t[13]=0,t[14]=u*o*2*s,t[15]=0,t},n.perspective=function(t,a,n,r,h){var o,u=1/Math.tan(a/2);return t[0]=u/n,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=h&&h!==1/0?(o=1/(r-h),t[10]=(h+r)*o,t[14]=2*h*r*o):(t[10]=-1,t[14]=-2*r),t},n.perspectiveFromFieldOfView=function(t,a,n,r){var h=Math.tan(a.upDegrees*Math.PI/180),o=Math.tan(a.downDegrees*Math.PI/180),u=Math.tan(a.leftDegrees*Math.PI/180),M=Math.tan(a.rightDegrees*Math.PI/180),e=2/(u+M),s=2/(h+o);return t[0]=e,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=s,t[6]=0,t[7]=0,t[8]=-(u-M)*e*.5,t[9]=(h-o)*s*.5,t[10]=r/(n-r),t[11]=-1,t[12]=0,t[13]=0,t[14]=r*n/(n-r),t[15]=0,t},n.ortho=function(t,a,n,r,h,o,u){var M=1/(a-n),e=1/(r-h),s=1/(o-u);return t[0]=-2*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*e,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*s,t[11]=0,t[12]=(a+n)*M,t[13]=(h+r)*e,t[14]=(u+o)*s,t[15]=1,t},n.lookAt=function(t,a,n,o){var u,M,e,s,i,c,f,b,l,v,m=a[0],P=a[1],E=a[2],S=o[0],I=o[1],O=o[2],p=n[0],L=n[1],N=n[2];return Math.abs(m-p)<r.EPSILON&&Math.abs(P-L)<r.EPSILON&&Math.abs(E-N)<r.EPSILON?h(t):(f=m-p,b=P-L,l=E-N,u=I*(l*=v=1/Math.hypot(f,b,l))-O*(b*=v),M=O*(f*=v)-S*l,e=S*b-I*f,(v=Math.hypot(u,M,e))?(u*=v=1/v,M*=v,e*=v):(u=0,M=0,e=0),s=b*e-l*M,i=l*u-f*e,c=f*M-b*u,(v=Math.hypot(s,i,c))?(s*=v=1/v,i*=v,c*=v):(s=0,i=0,c=0),t[0]=u,t[1]=s,t[2]=f,t[3]=0,t[4]=M,t[5]=i,t[6]=b,t[7]=0,t[8]=e,t[9]=c,t[10]=l,t[11]=0,t[12]=-(u*m+M*P+e*E),t[13]=-(s*m+i*P+c*E),t[14]=-(f*m+b*P+l*E),t[15]=1,t)},n.targetTo=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=r[0],e=r[1],s=r[2],i=h-n[0],c=o-n[1],f=u-n[2],b=i*i+c*c+f*f;b>0&&(i*=b=1/Math.sqrt(b),c*=b,f*=b);var l=e*f-s*c,v=s*i-M*f,m=M*c-e*i;return(b=l*l+v*v+m*m)>0&&(l*=b=1/Math.sqrt(b),v*=b,m*=b),t[0]=l,t[1]=v,t[2]=m,t[3]=0,t[4]=c*m-f*v,t[5]=f*l-i*m,t[6]=i*v-c*l,t[7]=0,t[8]=i,t[9]=c,t[10]=f,t[11]=0,t[12]=h,t[13]=o,t[14]=u,t[15]=1,t},n.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", 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+       "        var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
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+       "        var comm = {\n",
+       "          send: sendClosure\n",
+       "        };\n",
+       "      }\n",
+       "      window.PyViz.comms[comm_id] = comm;\n",
+       "      return comm;\n",
+       "    }\n",
+       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
+       "    \n",
+       "\n",
+       "\n",
+       "var JS_MIME_TYPE = 'application/javascript';\n",
+       "var HTML_MIME_TYPE = 'text/html';\n",
+       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
+       "var CLASS_NAME = 'output';\n",
+       "\n",
+       "/**\n",
+       " * Render data to the DOM node\n",
+       " */\n",
+       "function render(props, node) {\n",
+       "  var div = document.createElement(\"div\");\n",
+       "  var script = document.createElement(\"script\");\n",
+       "  node.appendChild(div);\n",
+       "  node.appendChild(script);\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle when a new output is added\n",
+       " */\n",
+       "function handle_add_output(event, handle) {\n",
+       "  var output_area = handle.output_area;\n",
+       "  var output = handle.output;\n",
+       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+       "    return\n",
+       "  }\n",
+       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
+       "  if (id !== undefined) {\n",
+       "    var nchildren = toinsert.length;\n",
+       "    var html_node = toinsert[nchildren-1].children[0];\n",
+       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "    var scripts = [];\n",
+       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
+       "    for (var i in nodelist) {\n",
+       "      if (nodelist.hasOwnProperty(i)) {\n",
+       "        scripts.push(nodelist[i])\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    scripts.forEach( function (oldScript) {\n",
+       "      var newScript = document.createElement(\"script\");\n",
+       "      var attrs = [];\n",
+       "      var nodemap = oldScript.attributes;\n",
+       "      for (var j in nodemap) {\n",
+       "        if (nodemap.hasOwnProperty(j)) {\n",
+       "          attrs.push(nodemap[j])\n",
+       "        }\n",
+       "      }\n",
+       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
+       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
+       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
+       "    });\n",
+       "    if (JS_MIME_TYPE in output.data) {\n",
+       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
+       "    }\n",
+       "    output_area._hv_plot_id = id;\n",
+       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
+       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
+       "    } else {\n",
+       "      window.PyViz.plot_index[id] = null;\n",
+       "    }\n",
+       "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
+       "    var bk_div = document.createElement(\"div\");\n",
+       "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "    var script_attrs = bk_div.children[0].attributes;\n",
+       "    for (var i = 0; i < script_attrs.length; i++) {\n",
+       "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
+       "    }\n",
+       "    // store reference to server id on output_area\n",
+       "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle when an output is cleared or removed\n",
+       " */\n",
+       "function handle_clear_output(event, handle) {\n",
+       "  var id = handle.cell.output_area._hv_plot_id;\n",
+       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
+       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
+       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
+       "  if (server_id !== null) {\n",
+       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
+       "    return;\n",
+       "  } else if (comm !== null) {\n",
+       "    comm.send({event_type: 'delete', 'id': id});\n",
+       "  }\n",
+       "  delete PyViz.plot_index[id];\n",
+       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
+       "    var doc = window.Bokeh.index[id].model.document\n",
+       "    doc.clear();\n",
+       "    const i = window.Bokeh.documents.indexOf(doc);\n",
+       "    if (i > -1) {\n",
+       "      window.Bokeh.documents.splice(i, 1);\n",
+       "    }\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle kernel restart event\n",
+       " */\n",
+       "function handle_kernel_cleanup(event, handle) {\n",
+       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
+       "  window.PyViz.plot_index = {}\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle update_display_data messages\n",
+       " */\n",
+       "function handle_update_output(event, handle) {\n",
+       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
+       "  handle_add_output(event, handle)\n",
+       "}\n",
+       "\n",
+       "function register_renderer(events, OutputArea) {\n",
+       "  function append_mime(data, metadata, element) {\n",
+       "    // create a DOM node to render to\n",
+       "    var toinsert = this.create_output_subarea(\n",
+       "    metadata,\n",
+       "    CLASS_NAME,\n",
+       "    EXEC_MIME_TYPE\n",
+       "    );\n",
+       "    this.keyboard_manager.register_events(toinsert);\n",
+       "    // Render to node\n",
+       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
+       "    render(props, toinsert[0]);\n",
+       "    element.append(toinsert);\n",
+       "    return toinsert\n",
+       "  }\n",
+       "\n",
+       "  events.on('output_added.OutputArea', handle_add_output);\n",
+       "  events.on('output_updated.OutputArea', handle_update_output);\n",
+       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
+       "  events.on('delete.Cell', handle_clear_output);\n",
+       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
+       "\n",
+       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
+       "    safe: true,\n",
+       "    index: 0\n",
+       "  });\n",
+       "}\n",
+       "\n",
+       "if (window.Jupyter !== undefined) {\n",
+       "  try {\n",
+       "    var events = require('base/js/events');\n",
+       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
+       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
+       "      register_renderer(events, OutputArea);\n",
+       "    }\n",
+       "  } catch(err) {\n",
+       "  }\n",
+       "}\n"
+      ],
+      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "\n",
+       "(function(root) {\n",
+       "  function now() {\n",
+       "    return new Date();\n",
+       "  }\n",
+       "\n",
+       "  var force = true;\n",
+       "\n",
+       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
+       "    root._bokeh_onload_callbacks = [];\n",
+       "    root._bokeh_is_loading = undefined;\n",
+       "  }\n",
+       "\n",
+       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
+       "    root._bokeh_timeout = Date.now() + 5000;\n",
+       "    root._bokeh_failed_load = false;\n",
+       "  }\n",
+       "\n",
+       "  function run_callbacks() {\n",
+       "    try {\n",
+       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
+       "        if (callback != null)\n",
+       "          callback();\n",
+       "      });\n",
+       "    } finally {\n",
+       "      delete root._bokeh_onload_callbacks\n",
+       "    }\n",
+       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
+       "  }\n",
+       "\n",
+       "  function load_libs(css_urls, js_urls, callback) {\n",
+       "    if (css_urls == null) css_urls = [];\n",
+       "    if (js_urls == null) js_urls = [];\n",
+       "\n",
+       "    root._bokeh_onload_callbacks.push(callback);\n",
+       "    if (root._bokeh_is_loading > 0) {\n",
+       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
+       "      return null;\n",
+       "    }\n",
+       "    if (js_urls == null || js_urls.length === 0) {\n",
+       "      run_callbacks();\n",
+       "      return null;\n",
+       "    }\n",
+       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
+       "\n",
+       "    function on_load() {\n",
+       "      root._bokeh_is_loading--;\n",
+       "      if (root._bokeh_is_loading === 0) {\n",
+       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
+       "        run_callbacks()\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    function on_error() {\n",
+       "      console.error(\"failed to load \" + url);\n",
+       "    }\n",
+       "\n",
+       "    for (var i = 0; i < css_urls.length; i++) {\n",
+       "      var url = css_urls[i];\n",
+       "      const element = document.createElement(\"link\");\n",
+       "      element.onload = on_load;\n",
+       "      element.onerror = on_error;\n",
+       "      element.rel = \"stylesheet\";\n",
+       "      element.type = \"text/css\";\n",
+       "      element.href = url;\n",
+       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
+       "      document.body.appendChild(element);\n",
+       "    }\n",
+       "\n",
+       "    if (window.requirejs) {\n",
+       "      window.requirejs.config({'paths': {'plotly': 'https://cdn.plot.ly/plotly-latest.min'}});\n",
+       "      require([], function() {\n",
+       "        run_callbacks();\n",
+       "      })\n",
+       "    } else {\n",
+       "      var skip = [];\n",
+       "      if ((window['Plotly'] !== undefined) && (!(window['Plotly'] instanceof HTMLElement))) {\n",
+       "        var urls = ['https://cdn.plot.ly/plotly-latest.min.js'];\n",
+       "        for (var i = 0; i < urls.length; i++) {\n",
+       "          skip.push(urls[i])\n",
+       "        }\n",
+       "      }\n",
+       "      for (var i = 0; i < js_urls.length; i++) {\n",
+       "        var url = js_urls[i];\n",
+       "        if (skip.indexOf(url) >= 0) { on_load(); continue; }\n",
+       "        var element = document.createElement('script');\n",
+       "        element.onload = on_load;\n",
+       "        element.onerror = on_error;\n",
+       "        element.async = false;\n",
+       "        element.src = url;\n",
+       "        console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "        document.head.appendChild(element);\n",
+       "      }\n",
+       "    }\n",
+       "  };\n",
+       "\n",
+       "  function inject_raw_css(css) {\n",
+       "    const element = document.createElement(\"style\");\n",
+       "    element.appendChild(document.createTextNode(css));\n",
+       "    document.body.appendChild(element);\n",
+       "  }\n",
+       "\n",
+       "  var js_urls = [\"https://code.jquery.com/jquery-3.4.1.min.js\", \"https://cdn.plot.ly/plotly-latest.min.js\"];\n",
+       "  var css_urls = [];\n",
+       "\n",
+       "  var inline_js = [\n",
+       "    function(Bokeh) {\n",
+       "      inject_raw_css(\"table.panel-df {\\n    margin-left: auto;\\n    margin-right: auto;\\n    border: none;\\n    border-collapse: collapse;\\n    border-spacing: 0;\\n    color: black;\\n    font-size: 12px;\\n    table-layout: fixed;\\n    width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n    text-align: right;\\n    vertical-align: middle;\\n    padding: 0.5em 0.5em !important;\\n    line-height: normal;\\n    white-space: normal;\\n    max-width: none;\\n    border: none;\\n}\\n\\n.panel-df tbody {\\n    display: table-row-group;\\n    vertical-align: middle;\\n    border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n    background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n    border-bottom: 1px solid black;\\n    vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n    background: lightblue !important;\\n    cursor: pointer;\\n}\\n\");\n",
+       "    },\n",
+       "    function(Bokeh) {\n",
+       "      inject_raw_css(\".json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n  color: black;\\n  text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n  color: green;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n  color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n  color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n  color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n  color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n  background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: blue;\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n  color: #00008B;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n  color: white;\\n  text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n  color: #31F031;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n  color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n  color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n  color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n  color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n  color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n  background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: #027BFF;\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n  color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n  color: #23A0DB;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n\");\n",
+       "    },\n",
+       "    function(Bokeh) {\n",
+       "      inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite  { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n",
+       "    },\n",
+       "    function(Bokeh) {\n",
+       "      inject_raw_css(\".panel-widget-box {\\n\\tmin-height: 20px;\\n\\tbackground-color: #f5f5f5;\\n\\tborder: 1px solid #e3e3e3 !important;\\n\\tborder-radius: 4px;\\n\\t-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\tbox-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\toverflow-x: hidden;\\n\\toverflow-y: hidden;\\n}\\n\\n.scrollable {\\n  overflow: scroll;\\n}\\n\\nprogress {\\n\\tappearance: none;\\n\\t-moz-appearance: none;\\n\\t-webkit-appearance: none;\\n\\n\\tborder: none;\\n\\theight: 20px;\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n\\tcolor: royalblue;\\n\\tposition: relative;\\n\\tmargin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n\\tposition: relative;\\n\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n\\tborder-radius:3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n\\tcontent:\\\" \\\";\\n\\tposition:absolute;\\n\\theight: 20px;\\n\\ttop:0;\\n\\tleft:0;\\n\\tright:0;\\n\\tbottom:0;\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n  from {background-position: 0%}\\n  to {background-position: 100%}\\n}\\n\");\n",
+       "    },\n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN bokeh.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        const bokeh = factory();\n",
+       "        if (root.Bokeh === undefined) {\n",
+       "          root.Bokeh = bokeh;\n",
+       "        }\n",
+       "        const Bokeh = root.Bokeh;\n",
+       "        Bokeh[bokeh.version] = bokeh;\n",
+       "      })(this, function() {\n",
+       "        var define;\n",
+       "        var parent_require = typeof require === \"function\" && require\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          if (aliases === undefined) aliases = {};\n",
+       "          if (externals === undefined) externals = {};\n",
+       "\n",
+       "          var cache = {};\n",
+       "\n",
+       "          var normalize = function(name) {\n",
+       "            if (typeof name === \"number\")\n",
+       "              return name;\n",
+       "\n",
+       "            if (name === \"bokehjs\")\n",
+       "              return entry;\n",
+       "\n",
+       "            var prefix = \"@bokehjs/\"\n",
+       "            if (name.slice(0, prefix.length) === prefix)\n",
+       "              name = name.slice(prefix.length)\n",
+       "\n",
+       "            var alias = aliases[name]\n",
+       "            if (alias != null)\n",
+       "              return alias;\n",
+       "\n",
+       "            var trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n",
+       "            var index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n",
+       "            if (index != null)\n",
+       "              return index;\n",
+       "\n",
+       "            return name;\n",
+       "          }\n",
+       "\n",
+       "          var require = function(name) {\n",
+       "            var mod = cache[name];\n",
+       "            if (!mod) {\n",
+       "              var id = normalize(name);\n",
+       "\n",
+       "              mod = cache[id];\n",
+       "              if (!mod) {\n",
+       "                if (!modules[id]) {\n",
+       "                  if (externals[id] === false || (externals[id] == true && parent_require)) {\n",
+       "                    try {\n",
+       "                      mod = {exports: externals[id] ? parent_require(id) : {}};\n",
+       "                      cache[id] = cache[name] = mod;\n",
+       "                      return mod.exports;\n",
+       "                    } catch (e) {}\n",
+       "                  }\n",
+       "\n",
+       "                  var err = new Error(\"Cannot find module '\" + name + \"'\");\n",
+       "                  err.code = 'MODULE_NOT_FOUND';\n",
+       "                  throw err;\n",
+       "                }\n",
+       "\n",
+       "                mod = {exports: {}};\n",
+       "                cache[id] = cache[name] = mod;\n",
+       "                modules[id].call(mod.exports, require, mod, mod.exports);\n",
+       "              } else\n",
+       "                cache[name] = mod;\n",
+       "            }\n",
+       "\n",
+       "            return mod.exports;\n",
+       "          }\n",
+       "\n",
+       "          var main = require(entry);\n",
+       "          main.require = require;\n",
+       "\n",
+       "          if (typeof Proxy !== \"undefined\") {\n",
+       "            // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n",
+       "            main.loader = new Proxy({}, {\n",
+       "              get: function(_obj, module) {\n",
+       "                return require(module);\n",
+       "              }\n",
+       "            });\n",
+       "          }\n",
+       "\n",
+       "          main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n",
+       "            if (plugin_aliases === undefined) plugin_aliases = {};\n",
+       "            if (plugin_externals === undefined) plugin_externals = {};\n",
+       "\n",
+       "            for (var name in plugin_modules) {\n",
+       "              modules[name] = plugin_modules[name];\n",
+       "            }\n",
+       "\n",
+       "            for (var name in plugin_aliases) {\n",
+       "              aliases[name] = plugin_aliases[name];\n",
+       "            }\n",
+       "\n",
+       "            for (var name in plugin_externals) {\n",
+       "              externals[name] = plugin_externals[name];\n",
+       "            }\n",
+       "\n",
+       "            var plugin = require(plugin_entry);\n",
+       "\n",
+       "            for (var name in plugin) {\n",
+       "              main[name] = plugin[name];\n",
+       "            }\n",
+       "\n",
+       "            return plugin;\n",
+       "          }\n",
+       "\n",
+       "          return main;\n",
+       "        })\n",
+       "      ([\n",
+       "      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0}),e(1).__exportStar(e(2),_)},\n",
+       "      function _(t,e,n){\n",
+       "      /*! *****************************************************************************\n",
+       "          Copyright (c) Microsoft Corporation. All rights reserved.\n",
+       "          Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n",
+       "          this file except in compliance with the License. You may obtain a copy of the\n",
+       "          License at http://www.apache.org/licenses/LICENSE-2.0\n",
+       "          \n",
+       "          THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n",
+       "          KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n",
+       "          WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n",
+       "          MERCHANTABLITY OR NON-INFRINGEMENT.\n",
+       "          \n",
+       "          See the Apache Version 2.0 License for specific language governing permissions\n",
+       "          and limitations under the License.\n",
+       "          ***************************************************************************** */\n",
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+       "      function _(e,r,t){var l=this&&this.__importStar||function(e){if(e&&e.__esModule)return e;var r={};if(null!=e)for(var t in e)Object.hasOwnProperty.call(e,t)&&(r[t]=e[t]);return r.default=e,r};Object.defineProperty(t,\"__esModule\",{value:!0});var o=e(3);t.version=o.version;var s=e(4);t.index=s.index,t.embed=l(e(4)),t.protocol=l(e(367)),t._testing=l(e(368));var n=e(72);t.logger=n.logger,t.set_log_level=n.set_log_level;var a=e(22);t.settings=a.settings;var i=e(7);t.Models=i.Models;var v=e(5);t.documents=v.documents;var _=e(369);t.safely=_.safely},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0}),o.version=\"2.1.1\"},\n",
+       "      function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(5),s=e(72),d=e(24),r=e(8),_=e(15),c=e(358),i=e(360),a=e(359);var u=e(358);n.add_document_standalone=u.add_document_standalone,n.index=u.index;var l=e(360);n.add_document_from_session=l.add_document_from_session;var m=e(365);n.embed_items_notebook=m.embed_items_notebook,n.kernels=m.kernels;var f=e(359);async function g(e,o,n,_){r.isString(e)&&(e=JSON.parse(d.unescape(e)));const u={};for(const o in e){const n=e[o];u[o]=t.Document.from_json(n)}const l=[];for(const e of o){const o=a._resolve_element(e),t=a._resolve_root_elements(e);if(null!=e.docid)l.push(await c.add_document_standalone(u[e.docid],o,t,e.use_for_title));else{if(null==e.token)throw new Error(\"Error rendering Bokeh items: either 'docid' or 'token' was expected.\");{const d=i._get_ws_url(n,_);s.logger.debug(\"embed: computed ws url: \"+d);try{l.push(await i.add_document_from_session(d,e.token,o,t,e.use_for_title)),console.log(\"Bokeh items were rendered successfully\")}catch(e){console.log(\"Error rendering Bokeh items:\",e)}}}}return l}n.BOKEH_ROOT=f.BOKEH_ROOT,n.embed_item=async function(e,o){const n={},t=d.uuid4();n[t]=e.doc,null==o&&(o=e.target_id);const s=document.getElementById(o);null!=s&&s.classList.add(a.BOKEH_ROOT);const r={roots:{[e.root_id]:o},root_ids:[e.root_id],docid:t},[c]=await _.defer(()=>g(n,[r]));return c},n.embed_items=async function(e,o,n,t){return await _.defer(()=>g(e,o,n,t))}},\n",
+       "      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);o.__exportStar(e(6),_),o.__exportStar(e(105),_)},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),n=e(7),r=e(3),i=e(72),_=e(291),a=e(13),l=e(14),c=e(16),h=e(27),d=e(9),f=o.__importStar(e(104)),u=e(25),m=e(8),g=e(245),p=e(76),w=e(71),v=e(105);class b{constructor(e){this.document=e,this.session=null,this.subscribed_models=new Set}send_event(e){const t=new v.MessageSentEvent(this.document,\"bokeh_event\",e.to_json());this.document._trigger_on_change(t)}trigger(e){for(const t of this.subscribed_models)null!=e.origin&&e.origin!=t||t._process_event(e)}}s.EventManager=b,b.__name__=\"EventManager\",s.documents=[],s.DEFAULT_TITLE=\"Bokeh Application\";class y{constructor(){s.documents.push(this),this._init_timestamp=Date.now(),this._title=s.DEFAULT_TITLE,this._roots=[],this._all_models=new Map,this._all_models_freeze_count=0,this._callbacks=new Map,this._message_callbacks=new Map,this.event_manager=new b(this),this.idle=new l.Signal0(this,\"idle\"),this._idle_roots=new WeakMap,this._interactive_timestamp=null,this._interactive_plot=null}get layoutables(){return this._roots.filter(e=>e instanceof g.LayoutDOM)}get is_idle(){for(const e of this.layoutables)if(!this._idle_roots.has(e))return!1;return!0}notify_idle(e){this._idle_roots.set(e,!0),this.is_idle&&(i.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),this.idle.emit())}clear(){this._push_all_models_freeze();try{for(;this._roots.length>0;)this.remove_root(this._roots[0])}finally{this._pop_all_models_freeze()}}interactive_start(e){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new _.LODStart)),this._interactive_timestamp=Date.now()}interactive_stop(e){null!=this._interactive_plot&&this._interactive_plot.id===e.id&&this._interactive_plot.trigger_event(new _.LODEnd),this._interactive_plot=null,this._interactive_timestamp=null}interactive_duration(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=d.copy(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(\"Somehow we didn't detach \"+e);if(0!=this._all_models.size)throw new Error(\"this._all_models still had stuff in it: \"+this._all_models);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){i.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=f.union(e,t.references());const t=new Set(this._all_models.values()),s=f.difference(t,e),o=f.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(i.logger.debug(\"Adding root: \"+e),!d.includes(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new v.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof w.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof v.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new v.ModelChangedEvent(this,e,t,s,o,null==n?void 0:n.setter_id,null==n?void 0:n.hint))}static _references_json(e,t=!0){const s=[];for(const o of e){const e=o.struct();e.attributes=o.attributes_as_json(t),delete e.attributes.id,s.push(e)}return s}static _instantiate_object(e,t,s){const o=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(n.Models(t))(o)}static _instantiate_references_json(e,t){const s=new Map;for(const o of e){const e=o.id,n=o.type,r=o.attributes||{};let i=t.get(e);null==i&&(i=y._instantiate_object(e,n,r),null!=o.subtype&&i.set_subtype(o.subtype)),s.set(i.id,i)}return s}static _resolve_refs(e,t,s,o){function n(e){if(c.is_ref(e)){if(t.has(e.id))return t.get(e.id);if(s.has(e.id))return s.get(e.id);throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}return h.is_NDArray_ref(e)?h.decode_NDArray(e,o):m.isArray(e)?function(e){const t=[];for(const s of e)t.push(n(s));return t}(e):m.isPlainObject(e)?function(e){const t={};for(const s in e){const o=e[s];t[s]=n(o)}return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:r,attributes:i}of e){const e=!t.has(r),_=e?s.get(r):t.get(r),a=y._resolve_refs(i,t,s,o);_.setv(a,{silent:!0}),n.set(r,{instance:_,is_new:e})}const r=[],i=new Set;function _(e){if(e instanceof a.HasProps){if(n.has(e.id)&&!i.has(e.id)){i.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e in o)_(o[e]);s&&(t.finalize(),r.push(t))}}else if(m.isArray(e))for(const t of e)_(t);else if(m.isPlainObject(e))for(const t in e)_(e[t])}for(const e of n.values())_(e.instance);for(const e of r)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const r={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return a.HasProps._json_record_references(o,s,n,{recursive:!0}),r}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),r=Object.keys(t.attributes),_=d.difference(n,r),a=d.difference(r,n),l=d.intersection(n,r),c=[];for(const e of _)i.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of a){const r=t.attributes[n];c.push(y._event_for_attribute_change(e,n,r,s,o))}for(const n of l){const r=e.attributes[n],i=t.attributes[n];null==r&&null==i||(null==r||null==i?c.push(y._event_for_attribute_change(e,n,i,s,o)):u.isEqual(r,i)||c.push(y._event_for_attribute_change(e,n,i,s,o)))}return c.filter(e=>null!=e)}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),r=new Map,i=[];for(const t of e.roots.root_ids)r.set(t,n.get(t)),i.push(t);const _=o(s),a=new Map,l=[];for(const e of s.roots.root_ids)a.set(e,_.get(e)),l.push(e);if(i.sort(),l.sort(),d.difference(i,l).length>0||d.difference(l,i).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=y._events_to_sync_objects(n.get(e),_.get(e),t,c);h=h.concat(s)}return{references:y._references_json(c,!1),events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=this._roots.map(e=>e.id),s=this._all_models.values();return{version:r.version,title:this._title,roots:{root_ids:t,references:y._references_json(s,e)}}}static from_json_string(e){const t=JSON.parse(e);return y.from_json(t)}static from_json(e){i.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${r.version}) / Python (${t})`;s||r.version.replace(/-(dev|rc)\\./,\"$1\")==t?i.logger.debug(o):(i.logger.warn(\"JS/Python version mismatch\"),i.logger.warn(o));const n=e.roots,_=n.root_ids,a=n.references,l=y._instantiate_references_json(a,new Map);y._initialize_references_json(a,new Map,l,new Map);const c=new y;for(const e of _){const t=l.get(e);null!=t&&c.add_root(t)}return c.set_title(e.title),c}replace_with_json(e){y.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){const t=new Set,s=[];for(const o of e){if(o.document!==this)throw i.logger.warn(\"Cannot create a patch using events from a different document, event had \",o.document,\" we are \",this),new Error(\"Cannot create a patch using events from a different document\");s.push(o.json(t))}return{events:s,references:y._references_json(t)}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,r=y._instantiate_references_json(o,this._all_models);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)r.set(t,s);else if(!r.has(t))throw i.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const _=new Map,a=new Map;for(const[e,t]of r)this._all_models.has(e)?_.set(e,t):a.set(e,t);y._initialize_references_json(o,_,a,t);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=y._resolve_refs(o,_,a,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const r=e.attr,i=y._resolve_refs(e.new,_,a,t);n.setv({[r]:i},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const r=y._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in r||(r[e]=n.data[e]);n.setv({data:r},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot stream to ${t} which is not in the document`);if(!(o instanceof p.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,r=e.rollover;o.stream(n,r,s);break}case\"ColumnsPatched\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot patch ${t} which is not in the document`);if(!(o instanceof p.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=e.model.id,o=r.get(t);this.add_root(o,s);break}case\"RootRemoved\":{const t=e.model.id,o=r.get(t);this.remove_root(o,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(\"Unknown patch event \"+JSON.stringify(e))}}}s.Document=y,y.__name__=\"Document\"},\n",
+       "      function _(e,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),t=e(8),d=e(13);s.overrides={};const i=new Map;s.Models=e=>{const r=s.overrides[e]||i.get(e);if(null==r)throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`);return r},s.Models.register=(e,r)=>{s.overrides[e]=r},s.Models.unregister=e=>{delete s.overrides[e]},s.Models.register_models=(e,r=!1,s)=>{var o;if(null!=e)for(const l in e){const n=e[l];if(o=n,t.isObject(o)&&o.prototype instanceof d.HasProps){const e=n.__qualified__;r||!i.has(e)?i.set(e,n):null!=s?s(e):console.warn(`Model '${e}' was already registered`)}}},s.register_models=s.Models.register_models,s.Models.registered_names=()=>Array.from(i.keys());const l=o.__importStar(e(29));s.register_models(l)},\n",
+       "      function _(n,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});\n",
+       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
+       "      //     Underscore may be freely distributed under the MIT license.\n",
+       "      const e=n(9),i=Object.prototype.toString;function o(n){return\"[object Number]\"===i.call(n)}function c(n){const t=typeof n;return\"function\"===t||\"object\"===t&&!!n}r.isBoolean=function(n){return!0===n||!1===n||\"[object Boolean]\"===i.call(n)},r.isNumber=o,r.isInteger=function(n){return o(n)&&Number.isInteger(n)},r.isString=function(n){return\"[object String]\"===i.call(n)},r.isFunction=function(n){return\"[object Function]\"===i.call(n)},r.isArray=function(n){return Array.isArray(n)},r.isArrayOf=function(n,t){return e.every(n,t)},r.isArrayableOf=function(n,t){for(let r=0,e=n.length;r<e;r++)if(!t(n[r]))return!1;return!0},r.isTypedArray=function(n){return ArrayBuffer.isView(n)&&!(n instanceof DataView)},r.isObject=c,r.isPlainObject=function(n){return c(n)&&(null==n.constructor||n.constructor===Object)}},\n",
+       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});\n",
+       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
+       "      //     Underscore may be freely distributed under the MIT license.\n",
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+       "      function _(n,t,r){function e(n){if(0==n)return 0;for(;n<=0;)n+=2*Math.PI;for(;n>2*Math.PI;)n-=2*Math.PI;return n}function o(n,t){return e(n-t)}function a(){return Math.random()}Object.defineProperty(r,\"__esModule\",{value:!0}),r.angle_norm=e,r.angle_dist=o,r.angle_between=function(n,t,r,a){const u=o(t,r);if(0==u)return!1;if(u==2*Math.PI)return!0;const f=e(n),i=o(t,f)<=u&&o(f,r)<=u;return 0==a?i:!i},r.random=a,r.randomIn=function(n,t){return null==t&&(t=n,n=0),n+Math.floor(Math.random()*(t-n+1))},r.atan2=function(n,t){return Math.atan2(t[1]-n[1],t[0]-n[0])},r.rnorm=function(n,t){let r,e;for(;r=a(),e=a(),e=(2*e-1)*Math.sqrt(1/Math.E*2),!(-4*r*r*Math.log(r)>=e*e););let o=e/r;return o=n+t*o,o},r.clamp=function(n,t,r){return n>r?r:n<t?t:n}},\n",
+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});class o extends Error{}n.AssertionError=o,o.__name__=\"AssertionError\",n.assert=function(e,r){if(!(!0===e||!1!==e&&e()))throw new o(null!=r?r:\"Assertion failed\")},n.unreachable=function(){throw new Error(\"unreachable code\")}},\n",
+       "      function _(n,t,e){function r(n,t,e,...r){const o=n.length;t<0&&(t+=o),t<0?t=0:t>o&&(t=o),null==e||e>o-t?e=o-t:e<0&&(e=0);const u=o-e+r.length,i=new n.constructor(u);let f=0;for(;f<t;f++)i[f]=n[f];for(const n of r)i[f++]=n;for(let r=t+e;r<o;r++)i[f++]=n[r];return i}function o(n,t){return r(n,t,n.length-t)}function u(n,t,e){const r=n.length;if(void 0===e&&0==r)throw new Error(\"can't reduce an empty array without an initial value\");let o,u;for(void 0===e?(o=n[0],u=1):(o=e,u=0);u<r;u++)o=t(o,n[u],u,n);return o}function i(n){return function(t,e){const r=t.length;let o=n>0?0:r-1;for(;o>=0&&o<r;o+=n)if(e(t[o]))return o;return-1}}Object.defineProperty(e,\"__esModule\",{value:!0}),e.is_empty=function(n){return 0==n.length},e.splice=r,e.head=o,e.insert=function(n,t,e){return r(n,e,0,t)},e.append=function(n,t){return r(n,n.length,0,t)},e.prepend=function(n,t){return r(n,0,0,t)},e.indexOf=function(n,t){for(let e=0,r=n.length;e<r;e++)if(n[e]===t)return e;return-1},e.map=function(n,t){const e=n.length,r=new n.constructor(e);for(let o=0;o<e;o++)r[o]=t(n[o],o,n);return r},e.filter=function(n,t){const e=n.length,r=new n.constructor(e);let u=0;for(let o=0;o<e;o++){const e=n[o];t(e,o,n)&&(r[u++]=e)}return o(r,u)},e.reduce=u,e.min=function(n){let t,e=1/0;for(let r=0,o=n.length;r<o;r++)t=n[r],t<e&&(e=t);return e},e.min_by=function(n,t){if(0==n.length)throw new Error(\"min_by() called with an empty array\");let e=n[0],r=t(e);for(let o=1,u=n.length;o<u;o++){const u=n[o],i=t(u);i<r&&(e=u,r=i)}return e},e.max=function(n){let t,e=-1/0;for(let r=0,o=n.length;r<o;r++)t=n[r],t>e&&(e=t);return e},e.max_by=function(n,t){if(0==n.length)throw new Error(\"max_by() called with an empty array\");let e=n[0],r=t(e);for(let o=1,u=n.length;o<u;o++){const u=n[o],i=t(u);i>r&&(e=u,r=i)}return e},e.sum=function(n){let t=0;for(let e=0,r=n.length;e<r;e++)t+=n[e];return t},e.cumsum=function(n){const t=new n.constructor(n.length);return u(n,(n,e,r)=>t[r]=n+e,0),t},e.every=function(n,t){for(let e=0,r=n.length;e<r;e++)if(!t(n[e]))return!1;return!0},e.some=function(n,t){for(let e=0,r=n.length;e<r;e++)if(t(n[e]))return!0;return!1},e.index_of=function(n,t){for(let e=0,r=n.length;e<r;e++)if(n[e]===t)return e;return-1},e.find_index=i(1),e.find_last_index=i(-1),e.find=function(n,t){const r=e.find_index(n,t);return-1==r?void 0:n[r]},e.find_last=function(n,t){const r=e.find_last_index(n,t);return-1==r?void 0:n[r]},e.sorted_index=function(n,t){let e=0,r=n.length;for(;e<r;){const o=Math.floor((e+r)/2);n[o]<t?e=o+1:r=o}return e}},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),n=e(14),i=e(16),o=r.__importStar(e(18)),c=r.__importStar(e(23)),a=e(24),_=e(9),u=e(17),h=e(8),f=e(25),l=e(5),p=e(26),d=e(27);class y extends(n.Signalable()){constructor(e={}){var t;super(),this._subtype=void 0,this.document=null,this.destroyed=new n.Signal0(this,\"destroyed\"),this.change=new n.Signal0(this,\"change\"),this.transformchange=new n.Signal0(this,\"transformchange\"),this.properties={},this._pending=!1,this._changing=!1;const s=e instanceof Map?e.get:t=>e[t];for(const[e,{type:t,default_value:r,options:n}]of u.entries(this._props)){if(null==t)throw new Error(`undefined property type for ${this.type}.${e}`);this.properties[e]=new t(this,e,r,s(e),n)}null!==(t=s(\"__deferred__\"))&&void 0!==t&&t||(this.finalize(),this.connect_signals())}set type(e){console.warn(\"prototype.type = 'ModelName' is deprecated, use static __name__ instead\"),this.constructor.__name__=e}get type(){return this.constructor.__qualified__}static get __qualified__(){const{__module__:e,__name__:t}=this;return null!=e?`${e}.${t}`:t}static init_HasProps(){this.prototype._props={},this.prototype._mixins=[],this.define({id:[o.String,()=>a.uniqueId()]})}static _fix_default(e,t){return void 0===e?void 0:h.isFunction(e)?e:h.isObject(e)?h.isArray(e)?()=>_.copy(e):()=>u.clone(e):()=>e}static define(e){for(const[t,s]of u.entries(e)){if(null!=this.prototype._props[t])throw new Error(`attempted to redefine property '${this.prototype.type}.${t}'`);if(null!=this.prototype[t])throw new Error(`attempted to redefine attribute '${this.prototype.type}.${t}'`);Object.defineProperty(this.prototype,t,{get(){return this.properties[t].get_value()},set(e){return this.setv({[t]:e}),this},configurable:!1,enumerable:!0});const[e,r,n]=s,i={type:e,default_value:this._fix_default(r,t),options:n},o=u.clone(this.prototype._props);o[t]=i,this.prototype._props=o}}static internal(e){const t={};for(const[s,r]of u.entries(e)){const[e,n,i={}]=r;t[s]=[e,n,Object.assign(Object.assign({},i),{internal:!0})]}this.define(t)}static mixins(e){function t(e){switch(e){case\"line\":return c.LineVector;case\"fill\":return c.FillVector;case\"hatch\":return c.HatchVector;case\"text\":return c.TextVector;default:throw new Error(`Unknown property mixin kind '${e}'`)}}function s(e,t){const s={};for(const[r,n]of u.entries(t))s[e+r]=n;return s}function r(e){const[t]=Object.keys(e),[s]=t.split(\"_\",1);return s}h.isArray(e)||(e=[e]);const n={},i=[];for(const o of e)if(h.isString(o)){const[e,r=\"\"]=o.split(\":\"),c=t(e);i.push(o),u.extend(n,s(r,c))}else if(h.isArray(o)){const[e,t]=o;i.push(`${r(t)}:${e}`),u.extend(n,s(e,t))}else{const e=o;i.push(r(e)),u.extend(n,e)}this.define(n),this.prototype._mixins=[...this.prototype._mixins,...i]}static override(e){for(const[t,s]of u.entries(e)){const e=this._fix_default(s,t),r=this.prototype._props[t];if(null==r)throw new Error(`attempted to override nonexistent '${this.prototype.type}.${t}'`);const n=u.clone(this.prototype._props);n[t]=Object.assign(Object.assign({},r),{default_value:e}),this.prototype._props=n}}toString(){return`${this.type}(${this.id})`}property(e){const t=this.properties[e];if(null!=t)return t;throw new Error(`unknown property ${this.type}.${e}`)}get attributes(){const e={};for(const t of this)e[t.attr]=t.get_value();return e}finalize(){for(const e of this)null!=e.spec.transform&&this.connect(e.spec.transform.change,()=>this.transformchange.emit());this.initialize()}initialize(){}connect_signals(){}disconnect_signals(){n.Signal.disconnectReceiver(this)}destroy(){this.disconnect_signals(),this.destroyed.emit()}clone(){return new this.constructor(this.attributes)}_setv(e,t){const s=t.check_eq,r=t.silent,n=[],i=this._changing;this._changing=!0;for(const[t,r]of e)!1!==s&&f.isEqual(t.get_value(),r)||(t.set_value(r),n.push(t));if(!r){n.length>0&&(this._pending=!0);for(const e of n)e.change.emit()}if(!i){if(!r&&!t.no_change)for(;this._pending;)this._pending=!1,this.change.emit();this._pending=!1,this._changing=!1}}setv(e,t={}){if(u.isEmpty(e))return;const s=new Map,r=new Map;for(const t in e){if(!e.hasOwnProperty(t))continue;const n=this.properties[t];if(null==n)throw new Error(`property ${this.type}.${t} wasn't declared`);const i=e[t];s.set(n,i),r.set(n,n.get_value())}this._setv(s,t);const{document:n}=this;if(null!=n){const e=[];for(const[t,s]of r)e.push([t,s,t.get_value()]);for(const[,t,s]of e)if(this._needs_invalidate(t,s)){n._invalidate_all_models();break}!0!==t.silent&&this._push_changes(e,t)}}getv(e){return this.property(e).get_value()}ref(){return{id:this.id}}struct(){const e={type:this.type,id:this.id,attributes:{}};return null!=this._subtype&&(e.subtype=this._subtype),e}set_subtype(e){this._subtype=e}*[Symbol.iterator](){for(const e in this.properties)yield this.properties[e]}*syncable_properties(){for(const e of this)e.syncable&&(yield e)}serializable_attributes(){const e={};for(const t of this.syncable_properties())e[t.attr]=t.get_value();return e}static _value_to_json(e){if(e instanceof y)return e.ref();if(p.is_NDArray(e))return d.encode_NDArray(e);if(h.isArray(e)||h.isTypedArray(e)){const t=e.length,s=new Array(t);for(let r=0;r<t;r++){const t=e[r];s[r]=y._value_to_json(t)}return s}if(h.isPlainObject(e)){const t={};for(const s in e)e.hasOwnProperty(s)&&(t[s]=y._value_to_json(e[s]));return t}return e}attributes_as_json(e=!0,t=y._value_to_json){const s={};for(const r of this)r.syncable&&(e||r.dirty)&&(s[r.attr]=t(r.get_value()));return s}static _json_record_references(e,t,s,r){const{recursive:n}=r;if(i.is_ref(t)){const r=e.get_model_by_id(t.id);null==r||s.has(r)||y._value_record_references(r,s,{recursive:n})}else if(h.isArray(t))for(const r of t)y._json_record_references(e,r,s,{recursive:n});else if(h.isPlainObject(t))for(const r in t)if(t.hasOwnProperty(r)){const i=t[r];y._json_record_references(e,i,s,{recursive:n})}}static _value_record_references(e,t,s){const{recursive:r}=s;if(e instanceof y){if(!t.has(e)&&(t.add(e),r)){const s=e._immediate_references();for(const e of s)y._value_record_references(e,t,{recursive:!0})}}else if(h.isArray(e))for(const s of e)y._value_record_references(s,t,{recursive:r});else if(h.isPlainObject(e))for(const s in e)if(e.hasOwnProperty(s)){const n=e[s];y._value_record_references(n,t,{recursive:r})}}_immediate_references(){const e=new Set;for(const t of this.syncable_properties()){const s=t.get_value();y._value_record_references(s,e,{recursive:!1})}return[...e.values()]}references(){const e=new Set;return y._value_record_references(this,e,{recursive:!0}),e}_doc_attached(){}_doc_detached(){}attach_document(e){if(null!=this.document&&this.document!=e)throw new Error(\"models must be owned by only a single document\");this.document=e,this._doc_attached()}detach_document(){this._doc_detached(),this.document=null}_needs_invalidate(e,t){const s=new Set;y._value_record_references(t,s,{recursive:!1});const r=new Set;y._value_record_references(e,r,{recursive:!1});for(const e of s)if(!r.has(e))return!0;for(const e of r)if(!s.has(e))return!0;return!1}_push_changes(e,t={}){const{document:s}=this;if(null==s)return;const{setter_id:r}=t,n=[];for(const[t,i,o]of e)t.syncable&&n.push(new l.ModelChangedEvent(s,this,t.attr,i,o,r));if(0!=n.length){let e;1==n.length?[e]=n:e=new l.DocumentEventBatch(s,n,r),s._trigger_on_change(e)}}materialize_dataspecs(e){const t={};for(const s of this){if(!(s instanceof o.VectorSpec))continue;if(s.optional&&null==s.spec.value&&!s.dirty)continue;const r=s.attr,n=s.array(e);t[\"_\"+r]=n,s instanceof o.DistanceSpec&&(t[\"max_\"+r]=_.max(n))}return t}on_change(e,t){for(const s of h.isArray(e)?e:[e])this.connect(s.change,t)}}s.HasProps=y,y.init_HasProps()},\n",
+       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=n(15),l=n(9);class o{constructor(n,t){this.sender=n,this.name=t}connect(n,t=null){c.has(this.sender)||c.set(this.sender,[]);const e=c.get(this.sender);if(null!=u(e,this,n,t))return!1;const s=t||n;r.has(s)||r.set(s,[]);const l=r.get(s),o={signal:this,slot:n,context:t};return e.push(o),l.push(o),!0}disconnect(n,t=null){const e=c.get(this.sender);if(null==e||0===e.length)return!1;const s=u(e,this,n,t);if(null==s)return!1;const l=t||n,o=r.get(l);return s.signal=null,f(e),f(o),!0}emit(n){const t=c.get(this.sender)||[];for(const{signal:e,slot:s,context:l}of t)e===this&&s.call(l,n,this.sender)}}e.Signal=o,o.__name__=\"Signal\";class i extends o{emit(){super.emit(void 0)}}e.Signal0=i,i.__name__=\"Signal0\",function(n){n.disconnectBetween=function(n,t){const e=c.get(n);if(null==e||0===e.length)return;const s=r.get(t);if(null!=s&&0!==s.length){for(const t of s){if(null==t.signal)return;t.signal.sender===n&&(t.signal=null)}f(e),f(s)}},n.disconnectSender=function(n){const t=c.get(n);if(null!=t&&0!==t.length){for(const n of t){if(null==n.signal)return;const t=n.context||n.slot;n.signal=null,f(r.get(t))}f(t)}},n.disconnectReceiver=function(n){const t=r.get(n);if(null!=t&&0!==t.length){for(const n of t){if(null==n.signal)return;const t=n.signal.sender;n.signal=null,f(c.get(t))}f(t)}},n.disconnectAll=function(n){const t=c.get(n);if(null!=t&&0!==t.length){for(const n of t)n.signal=null;f(t)}const e=r.get(n);if(null!=e&&0!==e.length){for(const n of e)n.signal=null;f(e)}}}(o||(e.Signal=o={})),e.Signalable=function(){return class{connect(n,t){return n.connect(t,this)}disconnect(n,t){return n.disconnect(t,this)}}};const c=new WeakMap,r=new WeakMap;function u(n,t,e,s){return l.find(n,n=>n.signal===t&&n.slot===e&&n.context===s)}const g=new Set;function f(n){0===g.size&&s.defer(a),g.add(n)}function a(){for(const n of g)l.remove_by(n,n=>null==n.signal);g.clear()}},\n",
+       "      function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.delay=\n",
+       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
+       "      //     Underscore may be freely distributed under the MIT license.\n",
+       "      function(n,e){return setTimeout(n,e)};const u=\"function\"==typeof requestAnimationFrame?requestAnimationFrame:setImmediate;t.defer=function(n){return new Promise(e=>{u(()=>e(n()))})},t.throttle=function(n,e,t={}){let u,o,i,r=null,l=0;const c=function(){l=!1===t.leading?0:Date.now(),r=null,i=n.apply(u,o),r||(u=o=null)};return function(){const a=Date.now();l||!1!==t.leading||(l=a);const f=e-(a-l);return u=this,o=arguments,f<=0||f>e?(r&&(clearTimeout(r),r=null),l=a,i=n.apply(u,o),r||(u=o=null)):r||!1===t.trailing||(r=setTimeout(c,f)),i}},t.once=function(n){let e,t=!1;return function(){return t||(t=!0,e=n()),e}}},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(8),r=e(17);t.is_ref=function(e){if(i.isPlainObject(e)){const n=r.keys(e);return 1==n.length&&\"id\"==n[0]}return!1}},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const c=e(9);function o(e){return Object.keys(e).length}n.keys=Object.keys,n.values=Object.values,n.entries=Object.entries,n.extend=Object.assign,n.clone=function(e){return Object.assign({},e)},n.merge=function(e,t){const n=Object.create(Object.prototype),o=c.concat([Object.keys(e),Object.keys(t)]);for(const s of o){const o=e.hasOwnProperty(s)?e[s]:[],r=t.hasOwnProperty(s)?t[s]:[];n[s]=c.union(o,r)}return n},n.size=o,n.isEmpty=function(e){return 0==o(e)},n.to_object=function(e){const t={};for(const[n,c]of e)t[n]=c;return t}},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(14),s=i.__importStar(e(19)),r=e(9),l=e(12),o=e(20),_=e(8),c=e(22);function u(e){try{return JSON.stringify(e)}catch(t){return e.toString()}}function d(e){return _.isPlainObject(e)&&(void 0===e.value?0:1)+(void 0===e.field?0:1)+(void 0===e.expr?0:1)==1}n.isSpec=d;class p{constructor(e,t,n,i,s={}){var r,l;let o;if(this.obj=e,this.attr=t,this.default_value=n,this._dirty=!1,this.change=new a.Signal0(this.obj,\"change\"),this.internal=null!==(r=s.internal)&&void 0!==r&&r,this.optional=null!==(l=s.optional)&&void 0!==l&&l,void 0!==i)o=i,this._dirty=!0;else{const t=this._default_override();o=void 0!==t?t:void 0!==n?n(e):null}this._update(o)}get syncable(){return!this.internal}get_value(){return this.spec.value}set_value(e){this._update(e),this._dirty=!0}_default_override(){}get dirty(){return this._dirty}_update(e){null!=e&&this.validate(e),this.spec={value:e}}toString(){return`Prop(${this.obj}.${this.attr}, spec: ${u(this.spec)})`}normalize(e){return e}validate(e){if(!this.valid(e))throw new Error(`${this.obj.type}.${this.attr} given invalid value: ${u(e)}`)}valid(e){return!0}value(e=!0){if(void 0===this.spec.value)throw new Error(\"attempted to retrieve property value for property without value specification\");let t=this.normalize([this.spec.value])[0];return null!=this.spec.transform&&e&&(t=this.spec.transform.compute(t)),t}}n.Property=p,p.__name__=\"Property\";class S extends p{}n.Any=S,S.__name__=\"Any\";class h extends p{valid(e){return _.isArray(e)||e instanceof Float64Array}}n.Array=h,h.__name__=\"Array\";class m extends p{valid(e){return _.isBoolean(e)}}n.Boolean=m,m.__name__=\"Boolean\";class v extends p{valid(e){return _.isString(e)&&o.is_color(e)}}n.Color=v,v.__name__=\"Color\";class g extends p{}n.Instance=g,g.__name__=\"Instance\";class x extends p{valid(e){return _.isNumber(e)}}n.Number=x,x.__name__=\"Number\";class y extends x{valid(e){return _.isNumber(e)&&(0|e)==e}}n.Int=y,y.__name__=\"Int\";class f extends x{}n.Angle=f,f.__name__=\"Angle\";class P extends x{valid(e){return _.isNumber(e)&&0<=e&&e<=1}}n.Percent=P,P.__name__=\"Percent\";class A extends p{valid(e){return _.isString(e)}}n.String=A,A.__name__=\"String\";class L extends p{valid(e){return null===e||_.isString(e)}}n.NullString=L,L.__name__=\"NullString\";class T extends A{}n.FontSize=T,T.__name__=\"FontSize\";class b extends A{_default_override(){return c.settings.dev?\"Bokeh\":void 0}}n.Font=b,b.__name__=\"Font\";class M extends p{valid(e){return _.isString(e)&&r.includes(this.enum_values,e)}}function B(e){return class extends M{get enum_values(){return e}}}n.EnumProperty=M,M.__name__=\"EnumProperty\",n.Enum=B;class C extends M{get enum_values(){return s.Direction}normalize(e){const t=new Uint8Array(e.length);for(let n=0;n<e.length;n++)switch(e[n]){case\"clock\":t[n]=0;break;case\"anticlock\":t[n]=1}return t}}n.Direction=C,C.__name__=\"Direction\",n.Anchor=B(s.Anchor),n.AngleUnits=B(s.AngleUnits),n.BoxOrigin=B(s.BoxOrigin),n.ButtonType=B(s.ButtonType),n.CalendarPosition=B(s.CalendarPosition),n.Dimension=B(s.Dimension),n.Dimensions=B(s.Dimensions),n.Distribution=B(s.Distribution),n.FontStyle=B(s.FontStyle),n.HatchPatternType=B(s.HatchPatternType),n.HTTPMethod=B(s.HTTPMethod),n.HexTileOrientation=B(s.HexTileOrientation),n.HoverMode=B(s.HoverMode),n.LatLon=B(s.LatLon),n.LegendClickPolicy=B(s.LegendClickPolicy),n.LegendLocation=B(s.LegendLocation),n.LineCap=B(s.LineCap),n.LineJoin=B(s.LineJoin),n.LinePolicy=B(s.LinePolicy),n.Location=B(s.Location),n.Logo=B(s.Logo),n.MarkerType=B(s.MarkerType),n.MutedPolicy=B(s.MutedPolicy),n.Orientation=B(s.Orientation),n.OutputBackend=B(s.OutputBackend),n.PaddingUnits=B(s.PaddingUnits),n.Place=B(s.Place),n.PointPolicy=B(s.PointPolicy),n.RadiusDimension=B(s.RadiusDimension),n.RenderLevel=B(s.RenderLevel),n.RenderMode=B(s.RenderMode),n.ResetPolicy=B(s.ResetPolicy),n.RoundingFunction=B(s.RoundingFunction),n.Side=B(s.Side),n.SizingMode=B(s.SizingMode),n.Sort=B(s.Sort),n.SpatialUnits=B(s.SpatialUnits),n.StartEnd=B(s.StartEnd),n.StepMode=B(s.StepMode),n.TapBehavior=B(s.TapBehavior),n.TextAlign=B(s.TextAlign),n.TextBaseline=B(s.TextBaseline),n.TextureRepetition=B(s.TextureRepetition),n.TickLabelOrientation=B(s.TickLabelOrientation),n.TooltipAttachment=B(s.TooltipAttachment),n.UpdateMode=B(s.UpdateMode),n.VerticalAlign=B(s.VerticalAlign);class N extends p{get_value(){return null===this.spec.value?null:this.spec}_update(e){d(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}}n.ScalarSpec=N,N.__name__=\"ScalarSpec\";class z extends N{}n.AnyScalar=z,z.__name__=\"AnyScalar\";class D extends N{}n.ColorScalar=D,D.__name__=\"ColorScalar\";class F extends N{}n.NumberScalar=F,F.__name__=\"NumberScalar\";class k extends N{}n.StringScalar=k,k.__name__=\"StringScalar\";class O extends N{}n.NullStringScalar=O,O.__name__=\"NullStringScalar\";class U extends N{}n.ArrayScalar=U,U.__name__=\"ArrayScalar\";class w extends N{}n.LineJoinScalar=w,w.__name__=\"LineJoinScalar\";class R extends N{}n.LineCapScalar=R,R.__name__=\"LineCapScalar\";class E extends N{}n.FontSizeScalar=E,E.__name__=\"FontSizeScalar\";class $ extends N{}n.FontStyleScalar=$,$.__name__=\"FontStyleScalar\";class H extends N{}n.TextAlignScalar=H,H.__name__=\"TextAlignScalar\";class j extends N{}n.TextBaselineScalar=j,j.__name__=\"TextBaselineScalar\";class I extends p{get_value(){return null===this.spec.value?null:this.spec}_update(e){d(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}array(e){let t;if(null!=this.spec.field){if(t=this.normalize(e.get_column(this.spec.field)),null==t)throw new Error(`attempted to retrieve property array for nonexistent field '${this.spec.field}'`)}else if(null!=this.spec.expr)t=this.normalize(this.spec.expr.v_compute(e));else{let n=e.get_length();null==n&&(n=1);const i=this.value(!1);t=r.repeat(i,n)}return null!=this.spec.transform&&(t=this.spec.transform.v_compute(t)),t}}n.VectorSpec=I,I.__name__=\"VectorSpec\";class J extends I{}n.DataSpec=J,J.__name__=\"DataSpec\";class V extends I{_update(e){super._update(e),null==this.spec.units&&(this.spec.units=this.default_units);const t=this.spec.units;if(!r.includes(this.valid_units,t))throw new Error(`units must be one of ${this.valid_units.join(\", \")}; 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J{}n.StringSpec=te,te.__name__=\"StringSpec\";class ne extends J{}n.NullStringSpec=ne,ne.__name__=\"NullStringSpec\"},\n",
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+       "      function _(e,r,a){function s(e,r,a){Array.isArray(r)&&(a.unshift(r),r=null);var s=r?{}:e,n=a.reduce((function(e,r){return c(r,e),e}),s);r&&(e[r]=n)}function c(e,r){if(Array.isArray(e)){var a=e.shift();if(\"PARAMETER\"===a&&(a=e.shift()),1===e.length)return Array.isArray(e[0])?(r[a]={},void c(e[0],r[a])):void(r[a]=e[0]);if(e.length)if(\"TOWGS84\"!==a){if(\"AXIS\"===a)return a in r||(r[a]=[]),void r[a].push(e);var n;switch(Array.isArray(a)||(r[a]={}),a){case\"UNIT\":case\"PRIMEM\":case\"VERT_DATUM\":return r[a]={name:e[0].toLowerCase(),convert:e[1]},void(3===e.length&&c(e[2],r[a]));case\"SPHEROID\":case\"ELLIPSOID\":return r[a]={name:e[0],a:e[1],rf:e[2]},void(4===e.length&&c(e[3],r[a]));case\"PROJECTEDCRS\":case\"PROJCRS\":case\"GEOGCS\":case\"GEOCCS\":case\"PROJCS\":case\"LOCAL_CS\":case\"GEODCRS\":case\"GEODETICCRS\":case\"GEODETICDATUM\":case\"EDATUM\":case\"ENGINEERINGDATUM\":case\"VERT_CS\":case\"VERTCRS\":case\"VERTICALCRS\":case\"COMPD_CS\":case\"COMPOUNDCRS\":case\"ENGINEERINGCRS\":case\"ENGCRS\":case\"FITTED_CS\":case\"LOCAL_DATUM\":case\"DATUM\":return e[0]=[\"name\",e[0]],void s(r,a,e);default:for(n=-1;++n<e.length;)if(!Array.isArray(e[n]))return c(e,r[a]);return s(r,a,e)}}else r[a]=e;else r[a]=!0}else r[e]=!0}Object.defineProperty(a,\"__esModule\",{value:!0}),a.sExpr=c},\n",
+       "      function _(e,n,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.default=function(e,n){var r,t;if(e=e||{},!n)return e;for(t in n)void 0!==(r=n[t])&&(e[t]=r);return e}},\n",
+       "      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(1),n=a.__importDefault(t(48)),r=a.__importDefault(t(54));var u=[n.default,r.default],f={},i=[];function d(t,e){var o=i.length;return t.names?(i[o]=t,t.names.forEach((function(t){f[t.toLowerCase()]=o})),this):(console.log(e),!0)}function c(t){if(!t)return!1;var e=t.toLowerCase();return void 0!==f[e]&&i[f[e]]?i[f[e]]:void 0}function l(){u.forEach(d)}o.add=d,o.get=c,o.start=l,o.default={start:l,add:d,get:c}},\n",
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+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.default=function(e,t,n){var r=e*t;return n/Math.sqrt(1-r*r)}},\n",
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+       "      function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(39);e.default=function(t,a){for(var e,r,o=.5*t,u=n.HALF_PI-2*Math.atan(a),f=0;f<=15;f++)if(e=t*Math.sin(u),u+=r=n.HALF_PI-2*Math.atan(a*Math.pow((1-e)/(1+e),o))-u,Math.abs(r)<=1e-10)return u;return-9999}},\n",
+       "      function _(e,n,i){function t(){}function r(e){return e}Object.defineProperty(i,\"__esModule\",{value:!0}),i.init=t,i.forward=r,i.inverse=r,i.names=[\"longlat\",\"identity\"],i.default={init:t,forward:r,inverse:r,names:i.names}},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=e(1),n=e(39),f=a.__importStar(e(56)),u=a.__importDefault(e(42));r.eccentricity=function(e,t,r,a){var f=e*e,u=t*t,i=(f-u)/f,c=0;return a?(f=(e*=1-i*(n.SIXTH+i*(n.RA4+i*n.RA6)))*e,i=0):c=Math.sqrt(i),{es:i,e:c,ep2:(f-u)/u}},r.sphere=function(e,t,r,a,i){if(!e){var c=u.default(f.default,a);c||(c=f.WGS84),e=c.a,t=c.b,r=c.rf}return r&&!t&&(t=(1-1/r)*e),(0===r||Math.abs(e-t)<n.EPSLN)&&(i=!0,t=e),{a:e,b:t,rf:r,sphere:i}}},\n",
+       "      function _(e,a,l){Object.defineProperty(l,\"__esModule\",{value:!0});var s={};l.default=s,s.MERIT={a:6378137,rf:298.257,ellipseName:\"MERIT 1983\"},s.SGS85={a:6378136,rf:298.257,ellipseName:\"Soviet Geodetic System 85\"},s.GRS80={a:6378137,rf:298.257222101,ellipseName:\"GRS 1980(IUGG, 1980)\"},s.IAU76={a:6378140,rf:298.257,ellipseName:\"IAU 1976\"},s.airy={a:6377563.396,b:6356256.91,ellipseName:\"Airy 1830\"},s.APL4={a:6378137,rf:298.25,ellipseName:\"Appl. Physics. 1965\"},s.NWL9D={a:6378145,rf:298.25,ellipseName:\"Naval Weapons Lab., 1965\"},s.mod_airy={a:6377340.189,b:6356034.446,ellipseName:\"Modified Airy\"},s.andrae={a:6377104.43,rf:300,ellipseName:\"Andrae 1876 (Den., Iclnd.)\"},s.aust_SA={a:6378160,rf:298.25,ellipseName:\"Australian Natl & S. Amer. 1969\"},s.GRS67={a:6378160,rf:298.247167427,ellipseName:\"GRS 67(IUGG 1967)\"},s.bessel={a:6377397.155,rf:299.1528128,ellipseName:\"Bessel 1841\"},s.bess_nam={a:6377483.865,rf:299.1528128,ellipseName:\"Bessel 1841 (Namibia)\"},s.clrk66={a:6378206.4,b:6356583.8,ellipseName:\"Clarke 1866\"},s.clrk80={a:6378249.145,rf:293.4663,ellipseName:\"Clarke 1880 mod.\"},s.clrk58={a:6378293.645208759,rf:294.2606763692654,ellipseName:\"Clarke 1858\"},s.CPM={a:6375738.7,rf:334.29,ellipseName:\"Comm. des Poids et Mesures 1799\"},s.delmbr={a:6376428,rf:311.5,ellipseName:\"Delambre 1810 (Belgium)\"},s.engelis={a:6378136.05,rf:298.2566,ellipseName:\"Engelis 1985\"},s.evrst30={a:6377276.345,rf:300.8017,ellipseName:\"Everest 1830\"},s.evrst48={a:6377304.063,rf:300.8017,ellipseName:\"Everest 1948\"},s.evrst56={a:6377301.243,rf:300.8017,ellipseName:\"Everest 1956\"},s.evrst69={a:6377295.664,rf:300.8017,ellipseName:\"Everest 1969\"},s.evrstSS={a:6377298.556,rf:300.8017,ellipseName:\"Everest (Sabah & Sarawak)\"},s.fschr60={a:6378166,rf:298.3,ellipseName:\"Fischer (Mercury Datum) 1960\"},s.fschr60m={a:6378155,rf:298.3,ellipseName:\"Fischer 1960\"},s.fschr68={a:6378150,rf:298.3,ellipseName:\"Fischer 1968\"},s.helmert={a:6378200,rf:298.3,ellipseName:\"Helmert 1906\"},s.hough={a:6378270,rf:297,ellipseName:\"Hough\"},s.intl={a:6378388,rf:297,ellipseName:\"International 1909 (Hayford)\"},s.kaula={a:6378163,rf:298.24,ellipseName:\"Kaula 1961\"},s.lerch={a:6378139,rf:298.257,ellipseName:\"Lerch 1979\"},s.mprts={a:6397300,rf:191,ellipseName:\"Maupertius 1738\"},s.new_intl={a:6378157.5,b:6356772.2,ellipseName:\"New International 1967\"},s.plessis={a:6376523,rf:6355863,ellipseName:\"Plessis 1817 (France)\"},s.krass={a:6378245,rf:298.3,ellipseName:\"Krassovsky, 1942\"},s.SEasia={a:6378155,b:6356773.3205,ellipseName:\"Southeast Asia\"},s.walbeck={a:6376896,b:6355834.8467,ellipseName:\"Walbeck\"},s.WGS60={a:6378165,rf:298.3,ellipseName:\"WGS 60\"},s.WGS66={a:6378145,rf:298.25,ellipseName:\"WGS 66\"},s.WGS7={a:6378135,rf:298.26,ellipseName:\"WGS 72\"},l.WGS84=s.WGS84={a:6378137,rf:298.257223563,ellipseName:\"WGS 84\"},s.sphere={a:6370997,b:6370997,ellipseName:\"Normal Sphere (r=6370997)\"}},\n",
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+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),c=s.__importStar(e(23)),l=s.__importStar(e(18)),i=e(20),h=e(12);function o(e,t,a){e.moveTo(0,a+.5),e.lineTo(t,a+.5),e.stroke()}function r(e,t,a){e.moveTo(a+.5,0),e.lineTo(a+.5,t),e.stroke()}function n(e,t){e.moveTo(0,t),e.lineTo(t,0),e.stroke(),e.moveTo(0,0),e.lineTo(t,t),e.stroke()}function _(e,t,a,s){const c=a,l=c/2,i=l/2,h=function(e){const t=document.createElement(\"canvas\");return t.width=e,t.height=e,t}(a),_=h.getContext(\"2d\");switch(_.strokeStyle=t,_.lineCap=\"square\",_.fillStyle=t,_.lineWidth=s,e){case\" 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a=.1*t,s=l+e*a*Math.cos(a),c=l+e*a*Math.sin(a);_.lineTo(s,c)}_.stroke();break;case\"/\":case\"right_diagonal_line\":_.moveTo(.5-i,c),_.lineTo(i+.5,0),_.stroke(),_.moveTo(i+.5,c),_.lineTo(3*i+.5,0),_.stroke(),_.moveTo(3*i+.5,c),_.lineTo(5*i+.5,0),_.stroke(),_.stroke();break;case\"\\\\\":case\"left_diagonal_line\":_.moveTo(i+.5,c),_.lineTo(.5-i,0),_.stroke(),_.moveTo(3*i+.5,c),_.lineTo(i+.5,0),_.stroke(),_.moveTo(5*i+.5,c),_.lineTo(3*i+.5,0),_.stroke(),_.stroke();break;case\"x\":case\"diagonal_cross\":n(_,c);break;case\",\":case\"right_diagonal_dash\":_.moveTo(i+.5,3*i+.5),_.lineTo(3*i+.5,i+.5),_.stroke();break;case\"`\":case\"left_diagonal_dash\":_.moveTo(i+.5,i+.5),_.lineTo(3*i+.5,3*i+.5),_.stroke();break;case\"v\":case\"horizontal_wave\":_.moveTo(0,i),_.lineTo(l,3*i),_.lineTo(c,i),_.stroke();break;case\">\":case\"vertical_wave\":_.moveTo(i,0),_.lineTo(3*i,l),_.lineTo(i,c),_.stroke();break;case\"*\":case\"criss_cross\":n(_,c),o(_,c,l),r(_,c,l)}return h}class u{constructor(e,t=\"\"){this.obj=e,this.prefix=t,this.cache={};for(const a of this.attrs)this[a]=e.properties[t+a]}warm_cache(e){for(const t of this.attrs){const a=this.obj.properties[this.prefix+t];if(void 0!==a.spec.value)this.cache[t]=a.spec.value;else{if(!(null!=e&&a instanceof l.VectorSpec))throw new Error(\"source is required with a vectorized visual property\");this.cache[t+\"_array\"]=a.array(e)}}}cache_select(e,t){const a=this.obj.properties[this.prefix+e];let s;return void 0!==a.spec.value?this.cache[e]=s=a.spec.value:this.cache[e]=s=this.cache[e+\"_array\"][t],s}get_array(e){const t=this.cache[e+\"_array\"];return null!=this.all_indices?h.map(this.all_indices,e=>t[e]):t}set_vectorize(e,t){null!=this.all_indices?this._set_vectorize(e,this.all_indices[t]):this._set_vectorize(e,t)}}a.ContextProperties=u,u.__name__=\"ContextProperties\";class p extends u{set_value(e){e.strokeStyle=this.line_color.value(),e.globalAlpha=this.line_alpha.value(),e.lineWidth=this.line_width.value(),e.lineJoin=this.line_join.value(),e.lineCap=this.line_cap.value(),e.setLineDash(this.line_dash.value()),e.setLineDashOffset(this.line_dash_offset.value())}get doit(){return!(null===this.line_color.spec.value||0==this.line_alpha.spec.value||0==this.line_width.spec.value)}_set_vectorize(e,t){this.cache_select(\"line_color\",t),e.strokeStyle=this.cache.line_color,this.cache_select(\"line_alpha\",t),e.globalAlpha=this.cache.line_alpha,this.cache_select(\"line_width\",t),e.lineWidth=this.cache.line_width,this.cache_select(\"line_join\",t),e.lineJoin=this.cache.line_join,this.cache_select(\"line_cap\",t),e.lineCap=this.cache.line_cap,this.cache_select(\"line_dash\",t),e.setLineDash(this.cache.line_dash),this.cache_select(\"line_dash_offset\",t),e.setLineDashOffset(this.cache.line_dash_offset)}color_value(){return i.color2css(this.line_color.value(),this.line_alpha.value())}}a.Line=p,p.__name__=\"Line\",p.prototype.attrs=Object.keys(c.LineVector);class v extends u{set_value(e){e.fillStyle=this.fill_color.value(),e.globalAlpha=this.fill_alpha.value()}get doit(){return!(null===this.fill_color.spec.value||0==this.fill_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"fill_color\",t),e.fillStyle=this.cache.fill_color,this.cache_select(\"fill_alpha\",t),e.globalAlpha=this.cache.fill_alpha}color_value(){return i.color2css(this.fill_color.value(),this.fill_alpha.value())}}a.Fill=v,v.__name__=\"Fill\",v.prototype.attrs=Object.keys(c.FillVector);class f extends u{cache_select(e,t){let a;if(\"pattern\"==e){this.cache_select(\"hatch_color\",t),this.cache_select(\"hatch_scale\",t),this.cache_select(\"hatch_pattern\",t),this.cache_select(\"hatch_weight\",t);const{hatch_color:e,hatch_scale:a,hatch_pattern:s,hatch_weight:c,hatch_extra:l}=this.cache;if(null!=l&&l.hasOwnProperty(s)){const t=l[s];this.cache.pattern=t.get_pattern(e,a,c)}else this.cache.pattern=t=>{const l=_(s,e,a,c);return t.createPattern(l,\"repeat\")}}else a=super.cache_select(e,t);return a}_try_defer(e){const{hatch_pattern:t,hatch_extra:a}=this.cache;if(null!=a&&a.hasOwnProperty(t)){a[t].onload(e)}}get doit(){return!(null===this.hatch_color.spec.value||0==this.hatch_alpha.spec.value||\" \"==this.hatch_pattern.spec.value||\"blank\"==this.hatch_pattern.spec.value||null===this.hatch_pattern.spec.value)}doit2(e,t,a,s){if(!this.doit)return;this.cache_select(\"pattern\",t),null==this.cache.pattern(e)?this._try_defer(s):(this.set_vectorize(e,t),a())}_set_vectorize(e,t){this.cache_select(\"pattern\",t),e.fillStyle=this.cache.pattern(e),this.cache_select(\"hatch_alpha\",t),e.globalAlpha=this.cache.hatch_alpha}color_value(){return i.color2css(this.hatch_color.value(),this.hatch_alpha.value())}}a.Hatch=f,f.__name__=\"Hatch\",f.prototype.attrs=Object.keys(c.HatchVector);class d extends u{color_value(){return i.color2css(this.text_color.value(),this.text_alpha.value())}font_value(){const e=this.text_font.value(),t=this.text_font_size.value();return`${this.text_font_style.value()} ${t} ${e}`}v_font_value(e){super.cache_select(\"text_font_style\",e),super.cache_select(\"text_font_size\",e),super.cache_select(\"text_font\",e);const{text_font_style:t,text_font_size:a,text_font:s}=this.cache;return`${t} ${a} ${s}`}cache_select(e,t){let a;return\"font\"==e?this.cache.font=a=this.v_font_value(t):a=super.cache_select(e,t),a}set_value(e){e.font=this.font_value(),e.fillStyle=this.text_color.value(),e.globalAlpha=this.text_alpha.value(),e.textAlign=this.text_align.value(),e.textBaseline=this.text_baseline.value()}get doit(){return!(null===this.text_color.spec.value||0==this.text_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"font\",t),e.font=this.cache.font,this.cache_select(\"text_color\",t),e.fillStyle=this.cache.text_color,this.cache_select(\"text_alpha\",t),e.globalAlpha=this.cache.text_alpha,this.cache_select(\"text_align\",t),e.textAlign=this.cache.text_align,this.cache_select(\"text_baseline\",t),e.textBaseline=this.cache.text_baseline}}a.Text=d,d.__name__=\"Text\",d.prototype.attrs=Object.keys(c.TextVector);class k{constructor(e){for(const t of e._mixins){const[a,s=\"\"]=t.split(\":\");let c;switch(a){case\"line\":c=p;break;case\"fill\":c=v;break;case\"hatch\":c=f;break;case\"text\":c=d;break;default:throw new Error(\"unknown visual: \"+a)}this[s+a]=new c(e,s)}}warm_cache(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&a.warm_cache(e)}}set_all_indices(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&(a.all_indices=e)}}}a.Visuals=k,k.__name__=\"Visuals\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),c=e(13),i=n.__importStar(e(18)),a=e(8),r=e(17),o=e(72);class l extends c.HasProps{constructor(e){super(e)}static init_Model(){this.define({tags:[i.Array,[]],name:[i.String],js_property_callbacks:[i.Any,{}],js_event_callbacks:[i.Any,{}],subscribed_events:[i.Array,[]]})}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,()=>this._update_property_callbacks()),this.connect(this.properties.js_event_callbacks.change,()=>this._update_event_callbacks()),this.connect(this.properties.subscribed_events.change,()=>this._update_event_callbacks())}_process_event(e){for(const t of this.js_event_callbacks[e.event_name]||[])t.execute(e);null!=this.document&&this.subscribed_events.some(t=>t==e.event_name)&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):o.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of r.entries(this.js_property_callbacks)){const n=s.map(e=>()=>e.execute(this));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){r.isEmpty(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if(a.isString(e))return[...this.references()].filter(t=>t instanceof l&&t.name===e);if(e.prototype instanceof c.HasProps)return[...this.references()].filter(t=>t instanceof e);throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=l,l.__name__=\"Model\",l.init_Model()},\n",
+       "      function _(e,l,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(8),t={};class s{constructor(e,l){this.name=e,this.level=l}}o.LogLevel=s,s.__name__=\"LogLevel\";class g{constructor(e,l=g.INFO){this._name=e,this.set_level(l)}static get levels(){return Object.keys(g.log_levels)}static get(e,l=g.INFO){if(e.length>0){let o=t[e];return null==o&&(t[e]=o=new g(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof s)this._log_level=e;else{if(!n.isString(e)||null==g.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=g.log_levels[e]}const l=`[${this._name}]`;for(const e in g.log_levels){g.log_levels[e].level<this._log_level.level||this._log_level.level===g.OFF.level?this[e]=function(){}:this[e]=r(e,l)}}trace(...e){}debug(...e){}info(...e){}warn(...e){}error(...e){}}function r(e,l){return null!=console[e]?console[e].bind(console,l):null!=console.log?console.log.bind(console,l):function(){}}function i(e){const l=o.logger.level;return n.isString(e)&&null==g.log_levels[e]?(console.log(`[bokeh] unrecognized logging level '${e}' passed to Bokeh.set_log_level(), ignoring`),console.log(\"[bokeh] valid log levels are: \"+g.levels.join(\", \"))):(console.log(`[bokeh] setting log level to: '${n.isString(e)?e:e.level}'`),o.logger.set_level(e)),l}o.Logger=g,g.__name__=\"Logger\",g.TRACE=new s(\"trace\",0),g.DEBUG=new s(\"debug\",1),g.INFO=new s(\"info\",2),g.WARN=new s(\"warn\",6),g.ERROR=new s(\"error\",7),g.FATAL=new s(\"fatal\",8),g.OFF=new s(\"off\",9),g.log_levels={trace:g.TRACE,debug:g.DEBUG,info:g.INFO,warn:g.WARN,error:g.ERROR,fatal:g.FATAL,off:g.OFF},o.logger=g.get(\"bokeh\"),o.set_log_level=i,o.with_log_level=function(e,l){const o=i(e);try{l()}finally{i(o)}}},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-shading {\\n  position: absolute;\\n  display: block;\\n  border: 1px dashed green;\\n}\\n\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),a=t(31),n=t(75),r=t(76),o=t(23),_=i.__importStar(t(18)),l=t(10);class h extends a.AnnotationView{initialize(){super.initialize(),null==this.model.source&&(this.model.source=new r.ColumnDataSource),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.set_data(this.model.source)),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source))}set_data(t){super.set_data(t),this.visuals.warm_cache(t),this.plot_view.request_render()}_map_data(){const{frame:t}=this.plot_view;let e,s,i,a;return\"data\"==this.model.start_units?(e=t.xscales[this.model.x_range_name].v_compute(this._x_start),s=t.yscales[this.model.y_range_name].v_compute(this._y_start)):(e=t.xview.v_compute(this._x_start),s=t.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(i=t.xscales[this.model.x_range_name].v_compute(this._x_end),a=t.yscales[this.model.y_range_name].v_compute(this._y_end)):(i=t.xview.v_compute(this._x_end),a=t.yview.v_compute(this._y_end)),[[e,s],[i,a]]}render(){if(!this.model.visible)return;const{ctx:t}=this.layer;t.save();const[e,s]=this._map_data();null!=this.model.end&&this._arrow_head(t,\"render\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"render\",this.model.start,s,e),t.beginPath();const{x:i,y:a,width:n,height:r}=this.plot_view.frame.bbox;t.rect(i,a,n,r),null!=this.model.end&&this._arrow_head(t,\"clip\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"clip\",this.model.start,s,e),t.closePath(),t.clip(),this._arrow_body(t,e,s),t.restore()}_arrow_head(t,e,s,i,a){for(let n=0,r=this._x_start.length;n<r;n++){const r=Math.PI/2+l.atan2([i[0][n],i[1][n]],[a[0][n],a[1][n]]);t.save(),t.translate(a[0][n],a[1][n]),t.rotate(r),\"render\"==e?s.render(t,n):\"clip\"==e&&s.clip(t,n),t.restore()}}_arrow_body(t,e,s){if(this.visuals.line.doit)for(let i=0,a=this._x_start.length;i<a;i++)this.visuals.line.set_vectorize(t,i),t.beginPath(),t.moveTo(e[0][i],e[1][i]),t.lineTo(s[0][i],s[1][i]),t.stroke()}}s.ArrowView=h,h.__name__=\"ArrowView\";class d extends a.Annotation{constructor(t){super(t)}static init_Arrow(){this.prototype.default_view=h,this.mixins(o.LineVector),this.define({x_start:[_.NumberSpec],y_start:[_.NumberSpec],start_units:[_.SpatialUnits,\"data\"],start:[_.Instance,null],x_end:[_.NumberSpec],y_end:[_.NumberSpec],end_units:[_.SpatialUnits,\"data\"],end:[_.Instance,()=>new n.OpenHead({})],source:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]})}}s.Arrow=d,d.__name__=\"Arrow\",d.init_Arrow()},\n",
+       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),o=i(31),l=i(70),n=i(23),h=t.__importStar(i(18));class a extends o.Annotation{constructor(i){super(i)}static init_ArrowHead(){this.define({size:[h.Number,25]})}initialize(){super.initialize(),this.visuals=new l.Visuals(this)}}s.ArrowHead=a,a.__name__=\"ArrowHead\",a.init_ArrowHead();class r extends a{constructor(i){super(i)}static init_OpenHead(){this.mixins(n.LineVector)}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,0),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.stroke())}}s.OpenHead=r,r.__name__=\"OpenHead\",r.init_OpenHead();class z extends a{constructor(i){super(i)}static init_NormalHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._normal(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._normal(i,e),i.stroke())}_normal(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.closePath()}}s.NormalHead=z,z.__name__=\"NormalHead\",z.init_NormalHead();class _ extends a{constructor(i){super(i)}static init_VeeHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._vee(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._vee(i,e),i.stroke())}_vee(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.closePath()}}s.VeeHead=_,_.__name__=\"VeeHead\",_.init_VeeHead();class c extends a{constructor(i){super(i)}static init_TeeHead(){this.mixins(n.LineVector)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,0),i.lineTo(-.5*this.size,0),i.stroke())}clip(i,e){}}s.TeeHead=c,c.__name__=\"TeeHead\",c.init_TeeHead()},\n",
+       "      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(77),r=s.__importStar(t(18)),i=t(8),l=t(17),a=s.__importStar(t(103)),c=t(104),u=t(105);function h(t,n,e){if(i.isArray(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if(i.isTypedArray(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let i;t.length<e?(i=new t.constructor(e),i.set(t,0)):i=t;for(let t=o,n=r;t<n;t++)i[t-o]=i[t];for(let t=0,e=n.length;t<e;t++)i[t+(r-o)]=n[t];return i}{const e=new t.constructor(n);return a.concat(t,e)}}throw new Error(\"unsupported array types\")}function d(t,n){let e,s,o;return i.isNumber(t)?(e=t,o=t+1,s=1):(e=null!=t.start?t.start:0,o=null!=t.stop?t.stop:n,s=null!=t.step?t.step:1),[e,o,s]}function m(t,n){const e=new Set;let s=!1;for(const[o,r]of n){let n,l,a,c;if(i.isArray(o)){const[s]=o;e.add(s),n=t[s].shape,l=t[s],c=r,2===o.length?(n=[1,n[0]],a=[o[0],0,o[1]]):a=o}else i.isNumber(o)?(c=[r],e.add(o)):(c=r,s=!0),a=[0,0,o],n=[1,t.length],l=t;let u=0;const[h,m,f]=d(a[1],n[0]),[_,p,g]=d(a[2],n[1]);for(let t=h;t<m;t+=f)for(let o=_;o<p;o+=g)s&&e.add(o),l[t*n[1]+o]=c[u],u++}return e}e.stream_to_column=h,e.slice=d,e.patch_to_column=m;class f extends o.ColumnarDataSource{constructor(t){super(t)}static init_ColumnDataSource(){this.define({data:[r.Any,{}]})}stream(t,n,e){const{data:s}=this;for(const e in t)s[e]=h(s[e],t[e],n);if(this.setv({data:s},{silent:!0}),this.streaming.emit(),null!=this.document){const s=new u.ColumnsStreamedEvent(this.document,this.ref(),t,n);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:s})}}patch(t,n){const{data:e}=this;let s=new Set;for(const[n,o]of l.entries(t))s=c.union(s,m(e[n],o));if(this.setv({data:e},{silent:!0}),this.patching.emit([...s]),null!=this.document){const e=new u.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:e})}}}e.ColumnDataSource=f,f.__name__=\"ColumnDataSource\",f.init_ColumnDataSource()},\n",
+       "      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(78),i=t(14),r=t(72),c=t(80),l=a.__importStar(t(18)),o=t(8),u=t(9),h=t(17),g=t(79),_=t(102);class d extends s.DataSource{constructor(t){super(t)}get_array(t){let n=this.data[t];return null==n?this.data[t]=n=[]:o.isArray(n)||(this.data[t]=n=Array.from(n)),n}static init_ColumnarDataSource(){this.define({selection_policy:[l.Instance,()=>new _.UnionRenderers]}),this.internal({selection_manager:[l.Instance,t=>new c.SelectionManager({source:t})],inspected:[l.Instance,()=>new g.Selection]})}initialize(){super.initialize(),this._select=new i.Signal0(this,\"select\"),this.inspect=new i.Signal(this,\"inspect\"),this.streaming=new i.Signal0(this,\"streaming\"),this.patching=new i.Signal(this,\"patching\")}get_column(t){const n=this.data[t];return null!=n?n:null}columns(){return h.keys(this.data)}get_length(t=!0){const n=u.uniq(h.values(this.data).map(t=>t.length));switch(n.length){case 0:return null;case 1:return n[0];default:{const e=\"data source has columns of inconsistent lengths\";if(t)return r.logger.warn(e),n.sort()[0];throw new Error(e)}}}get_indices(){const t=this.get_length();return u.range(0,null!=t?t:1)}clear(){const t={};for(const n of this.columns())t[n]=new this.data[n].constructor(0);this.data=t}}e.ColumnarDataSource=d,d.__name__=\"ColumnarDataSource\",d.init_ColumnarDataSource()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const c=e(1),n=e(71),o=e(79),i=c.__importStar(e(18));class r extends n.Model{constructor(e){super(e)}static init_DataSource(){this.define({selected:[i.Instance,()=>new o.Selection]})}}a.DataSource=r,r.__name__=\"DataSource\",r.init_DataSource()},\n",
+       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),l=t.__importStar(i(18)),c=i(9),_=i(17);class h extends n.Model{constructor(i){super(i)}static init_Selection(){this.define({indices:[l.Array,[]],line_indices:[l.Array,[]],multiline_indices:[l.Any,{}]}),this.internal({selected_glyphs:[l.Array,[]],get_view:[l.Any],image_indices:[l.Array,[]]})}initialize(){super.initialize(),this.get_view=()=>null}static from_hits(i){const e=c.sort_by(i,([,i])=>i).map(([i])=>i);return new h({indices:e})}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.get_view=i.get_view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.get_view=()=>null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=c.union(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=c.intersection(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=c.difference(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=h,h.__name__=\"Selection\",h.init_Selection()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(13),o=e(79),c=e(81),r=e(100),l=i.__importStar(e(18));class p extends n.HasProps{constructor(e){super(e),this.inspectors=new Map}static init_SelectionManager(){this.internal({source:[l.Any]})}select(e,t,s,i=\"replace\"){const n=[],o=[];for(const t of e)t instanceof c.GlyphRendererView?n.push(t):t instanceof r.GraphRendererView&&o.push(t);let l=!1;for(const e of o){const n=e.model.selection_policy.hit_test(t,e);l=l||e.model.selection_policy.do_selection(n,e.model,s,i)}if(n.length>0){const e=this.source.selection_policy.hit_test(t,n);l=l||this.source.selection_policy.do_selection(e,this.source,s,i)}return l}inspect(e,t){let s=!1;if(e instanceof c.GlyphRendererView){const i=e.hit_test(t);if(null!=i){s=!i.is_empty();const n=this.get_or_create_inspector(e.model);n.update(i,!0,\"replace\"),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof r.GraphRendererView){const i=e.model.inspection_policy.hit_test(t,e);s=s||e.model.inspection_policy.do_inspection(i,t,e,!1,\"replace\")}return s}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new o.Selection,this.inspectors.set(e,t)),t}}s.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(82),n=e(83),h=e(94),o=e(95),a=e(97),_=e(98),c=e(72),r=s.__importStar(e(18)),d=e(12),g=e(9),p=e(17),y=e(99),u=e(90),m={fill:{},line:{}},v={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},f={fill:{fill_alpha:.2},line:{}};class w extends l.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model.glyph,t=g.includes(e._mixins,\"fill\"),i=g.includes(e._mixins,\"line\"),s=p.clone(e.attributes);function l(l){const n=p.clone(s);return t&&p.extend(n,l.fill),i&&p.extend(n,l.line),new e.constructor(n)}delete s.id,this.glyph=await this.build_glyph_view(e);let{selection_glyph:n}=this.model;null==n?n=l({fill:{},line:{}}):\"auto\"===n&&(n=l(m)),this.selection_glyph=await this.build_glyph_view(n);let{nonselection_glyph:h}=this.model;null==h?h=l({fill:{},line:{}}):\"auto\"===h&&(h=l(f)),this.nonselection_glyph=await this.build_glyph_view(h);const{hover_glyph:o}=this.model;null!=o&&(this.hover_glyph=await this.build_glyph_view(o));const{muted_glyph:a}=this.model;null!=a&&(this.muted_glyph=await this.build_glyph_view(a));const _=l(v);this.decimated_glyph=await this.build_glyph_view(_),this.xscale=this.plot_view.frame.xscales[this.model.x_range_name],this.yscale=this.plot_view.frame.yscales[this.model.y_range_name],this.set_data(!1)}async build_glyph_view(e){return y.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.glyph.change,()=>this.set_data()),this.connect(this.model.data_source.change,()=>this.set_data()),this.connect(this.model.data_source.streaming,()=>this.set_data()),this.connect(this.model.data_source.patching,e=>this.set_data(!0,e)),this.connect(this.model.data_source.selected.change,()=>this.request_render()),this.connect(this.model.data_source._select,()=>this.request_render()),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,()=>this.request_render()),this.connect(this.model.properties.view.change,()=>this.set_data()),this.connect(this.model.view.change,()=>this.set_data()),this.connect(this.model.properties.visible.change,()=>this.plot_view.update_dataranges());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const i=e[t];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}for(const e in t){const i=t[e];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}this.connect(this.model.glyph.transformchange,()=>this.set_data())}have_selection_glyphs(){return null!=this.selection_glyph&&null!=this.nonselection_glyph}set_data(e=!0,t=null){const i=Date.now(),s=this.model.data_source;this.all_indices=this.model.view.indices,this.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.glyph.set_data(s,this.all_indices,t),this.glyph.set_visuals(s,this.all_indices),this.decimated_glyph.set_visuals(s,this.all_indices),this.have_selection_glyphs()&&(this.selection_glyph.set_visuals(s,this.all_indices),this.nonselection_glyph.set_visuals(s,this.all_indices)),null!=this.hover_glyph&&this.hover_glyph.set_visuals(s,this.all_indices),null!=this.muted_glyph&&this.muted_glyph.set_visuals(s,this.all_indices);const{lod_factor:l}=this.plot_model;this.decimated=[];for(let e=0,t=Math.floor(this.all_indices.length/l);e<t;e++)this.decimated.push(e*l);const n=Date.now()-i;c.logger.debug(`${this.glyph.model.type} ${this.model}): set_data finished in ${n}ms`),this.set_data_timestamp=Date.now(),e&&this.request_render()}get has_webgl(){return this.glyph.has_webgl}render(){if(!this.model.visible)return;const e=Date.now(),t=this.has_webgl;this.glyph.map_data();const i=Date.now()-e,s=Date.now();let l=this.glyph.mask_data(this.all_indices);l.length===this.all_indices.length&&(l=g.range(0,this.all_indices.length));const _=Date.now()-s,{ctx:r}=this.layer;r.save();const{selected:p}=this.model.data_source;let y;y=!p||p.is_empty()?[]:this.glyph instanceof n.LineView&&p.selected_glyph===this.glyph.model?this.model.view.convert_indices_from_subset(l):p.indices;const{inspected:u}=this.model.data_source,m=new Set((()=>!u||u.is_empty()?[]:u.selected_glyph?this.model.view.convert_indices_from_subset(l):u.indices.length>0?u.indices:Object.keys(u.multiline_indices).map(e=>parseInt(e)))()),v=d.filter(l,e=>m.has(this.all_indices[e])),{lod_threshold:f}=this.plot_model;let w,b,x;null!=this.model.document&&this.model.document.interactive_duration()>0&&!t&&null!=f&&this.all_indices.length>f?(l=this.decimated,w=this.decimated_glyph,b=this.decimated_glyph,x=this.selection_glyph):(w=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,b=this.nonselection_glyph,x=this.selection_glyph),null!=this.hover_glyph&&v.length&&(l=g.difference(l,v));let D,V=null;if(y.length&&this.have_selection_glyphs()){const e=Date.now(),t={};for(const e of y)t[e]=!0;const i=new Array,s=new Array;if(this.glyph instanceof n.LineView)for(const e of this.all_indices)null!=t[e]?i.push(e):s.push(e);else for(const e of l)null!=t[this.all_indices[e]]?i.push(e):s.push(e);V=Date.now()-e,D=Date.now(),b.render(r,s,this.glyph),x.render(r,i,this.glyph),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):this.hover_glyph.render(r,v,this.glyph))}else if(D=Date.now(),this.glyph instanceof n.LineView)this.hover_glyph&&v.length?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):w.render(r,this.all_indices,this.glyph);else if(this.glyph instanceof h.PatchView||this.glyph instanceof o.HAreaView||this.glyph instanceof a.VAreaView)if(0==u.selected_glyphs.length||null==this.hover_glyph)w.render(r,this.all_indices,this.glyph);else for(const e of u.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(r,this.all_indices,this.glyph);else w.render(r,l,this.glyph),this.hover_glyph&&v.length&&this.hover_glyph.render(r,v,this.glyph);const R=Date.now()-D;this.last_dtrender=R;const $=Date.now()-e;c.logger.debug(`${this.glyph.model.type} ${this.model}: render finished in ${$}ms`),c.logger.trace(` - map_data finished in       : ${i}ms`),c.logger.trace(` - mask_data finished in      : ${_}ms`),null!=V&&c.logger.trace(` - selection mask finished in : ${V}ms`),c.logger.trace(` - glyph renders finished in  : ${R}ms`),r.restore()}draw_legend(e,t,i,s,l,n,h,o){null==o&&(o=this.model.get_reference_point(n,h)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o)}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=w,w.__name__=\"GlyphRendererView\";class b extends l.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=w,this.define({data_source:[r.Instance],view:[r.Instance,()=>new _.CDSView],glyph:[r.Instance],hover_glyph:[r.Instance],nonselection_glyph:[r.Any,\"auto\"],selection_glyph:[r.Any,\"auto\"],muted_glyph:[r.Instance],muted:[r.Boolean,!1]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){let i=0;if(null!=e){const s=this.data_source.get_column(e);if(null!=s){const e=d.indexOf(s,t);-1!=e&&(i=e)}}return i}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=b,b.__name__=\"GlyphRenderer\",b.init_GlyphRenderer()},\n",
+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),a=e(65),_=t.__importStar(e(18));class i extends a.RendererView{}n.DataRendererView=i,i.__name__=\"DataRendererView\";class d extends a.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.define({x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"glyph\"})}}n.DataRenderer=d,d.__name__=\"DataRenderer\",d.init_DataRenderer()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),_=e(92),l=s.__importStar(e(23)),o=s.__importStar(e(93)),r=e(79);class h extends n.XYGlyphView{_render(e,t,{sx:i,sy:s}){let n=!1,_=null;this.visuals.line.set_value(e);for(const l of t){if(n){if(!isFinite(i[l]+s[l])){e.stroke(),e.beginPath(),n=!1,_=l;continue}null!=_&&l-_>1&&(e.stroke(),n=!1)}n?e.lineTo(i[l],s[l]):(e.beginPath(),e.moveTo(i[l],s[l]),n=!0),_=l}n&&e.stroke()}_hit_point(e){const t=new r.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.visuals.line.line_width.value()/2);for(let e=0,_=this.sx.length-1;e<_;e++){const _={x:this.sx[e],y:this.sy[e]},l={x:this.sx[e+1],y:this.sy[e+1]},r=o.dist_to_segment(i,_,l);r<n&&r<s&&(s=r,t.add_to_selected_glyphs(this.model),t.get_view=()=>this,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=new r.Selection;let n,_;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),_=this._y):(n=this.renderer.xscale.invert(t),_=this._x);for(let e=0,t=_.length-1;e<t;e++)(_[e]<=n&&n<=_[e+1]||_[e+1]<=n&&n<=_[e])&&(s.add_to_selected_glyphs(this.model),s.get_view=()=>this,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return _.line_interpolation(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){_.generic_line_legend(this.visuals,e,t,i)}}i.LineView=h,h.__name__=\"LineView\";class a extends n.XYGlyph{constructor(e){super(e)}static init_Line(){this.prototype.default_view=h,this.mixins(l.Line)}}i.Line=a,a.__name__=\"Line\",a.init_Line()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(85),n=e(89);class _ extends n.GlyphView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y[t];!isNaN(s+i)&&isFinite(s+i)&&e.push({x0:s,y0:i,x1:s,y1:i,i:t})}return new i.SpatialIndex(e)}scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}}s.XYGlyphView=_,_.__name__=\"XYGlyphView\";class h extends n.Glyph{constructor(e){super(e)}static init_XYGlyph(){this.coords([[\"x\",\"y\"]])}}s.XYGlyph=h,h.__name__=\"XYGlyph\",h.init_XYGlyph()},\n",
+       "      function _(n,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=n(1).__importDefault(n(86)),s=n(88);class r{constructor(n){if(this.points=n,this.index=null,n.length>0){this.index=new e.default(n.length);for(const t of n){const{x0:n,y0:i,x1:e,y1:s}=t;this.index.add(n,i,e,s)}this.index.finish()}}_normalize(n){let{x0:t,y0:i,x1:e,y1:s}=n;return t>e&&([t,e]=[e,t]),i>s&&([i,s]=[s,i]),{x0:t,y0:i,x1:e,y1:s}}get bbox(){if(null==this.index)return s.empty();{const{minX:n,minY:t,maxX:i,maxY:e}=this.index;return{x0:n,y0:t,x1:i,y1:e}}}search(n){if(null==this.index)return[];{const{x0:t,y0:i,x1:e,y1:s}=this._normalize(n);return this.index.search(t,i,e,s).map(n=>this.points[n])}}indices(n){return this.search(n).map(({i:n})=>n)}}i.SpatialIndex=r,r.__name__=\"SpatialIndex\"},\n",
+       "      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1).__importDefault(t(87)),h=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class n{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[o]=new Uint32Array(t,4,1);return new n(o,e,h[15&i],t)}constructor(t,s=16,i=Float64Array,n){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let o=t,r=o;this._levelBounds=[4*o];do{o=Math.ceil(o/this.nodeSize),r+=o,this._levelBounds.push(4*r)}while(1!==o);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=h.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);n&&n instanceof ArrayBuffer?(this.data=n,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new e.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,t<this.minX&&(this.minX=t),s<this.minY&&(this.minY=s),i>this.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e<this.numItems;e++){let h=4*e;const n=this._boxes[h++],o=this._boxes[h++],r=this._boxes[h++],a=this._boxes[h++],d=Math.floor(65535*((n+r)/2-this.minX)/t),x=Math.floor(65535*((o+a)/2-this.minY)/s);i[e]=_(d,x)}!function t(s,i,e,h,n,o){if(Math.floor(h/o)>=Math.floor(n/o))return;const r=s[h+n>>1];let _=h-1,d=n+1;for(;;){do{_++}while(s[_]<r);do{d--}while(s[d]>r);if(_>=d)break;a(s,i,e,_,d)}t(s,i,e,h,d,o),t(s,i,e,d+1,n,o)}(i,this._boxes,this._indices,0,this.numItems-1,this.nodeSize);for(let t=0,s=0;t<this._levelBounds.length-1;t++){const i=this._levelBounds[t];for(;s<i;){const t=s;let e=1/0,h=1/0,n=-1/0,o=-1/0;for(let t=0;t<this.nodeSize&&s<i;t++)e=Math.min(e,this._boxes[s++]),h=Math.min(h,this._boxes[s++]),n=Math.max(n,this._boxes[s++]),o=Math.max(o,this._boxes[s++]);this._indices[this._pos>>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],a=[];for(;void 0!==n;){const _=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let r=n;r<_;r+=4){const _=0|this._indices[r>>2];i<this._boxes[r]||(e<this._boxes[r+1]||t>this._boxes[r+2]||s>this._boxes[r+3]||(n<4*this.numItems?(void 0===h||h(_))&&a.push(_):o.push(_)))}n=o.pop()}return a}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const a=this._queue,_=[],d=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let i=n;i<e;i+=4){const e=0|this._indices[i>>2],r=o(t,this._boxes[i],this._boxes[i+2]),_=o(s,this._boxes[i+1],this._boxes[i+3]),d=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&a.push(-e-1,d):a.push(e,d)}for(;a.length&&a.peek()<0;){if(a.peekValue()>d)return a.clear(),_;if(_.push(-a.pop()-1),_.length===i)return a.clear(),_}n=a.pop()}return a.clear(),_}}function o(t,s,i){return t<s?s-t:t<=i?0:t-i}function r(t,s){let i=0,e=s.length-1;for(;i<e;){const h=i+e>>1;s[h]>t?e=h:i=h+1}return s[i]}function a(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],d=s[o+2],x=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=d,s[r+3]=x;const l=i[e];i[e]=i[h],i[h]=l}function _(t,s){let i=t^s,e=65535^i,h=65535^(t|s),n=t&(65535^s),o=i|e>>1,r=i>>1^i,a=h>>1^e&n>>1^h,_=i&h>>1^n>>1^n;i=o,e=r,h=a,n=_,o=i&i>>2^e&e>>2,r=i&e>>2^e&(i^e)>>2,a^=i&h>>2^e&n>>2,_^=e&h>>2^(i^e)&n>>2,i=o,e=r,h=a,n=_,o=i&i>>4^e&e>>4,r=i&e>>4^e&(i^e)>>4,a^=i&h>>4^e&n>>4,_^=e&h>>4^(i^e)&n>>4,i=o,e=r,h=a,n=_,a^=i&h>>8^e&n>>8,_^=e&h>>8^(i^e)&n>>8,i=a^a>>1,e=_^_>>1;let d=t^s,x=e|65535^(d|i);return d=16711935&(d|d<<8),d=252645135&(d|d<<4),d=858993459&(d|d<<2),d=1431655765&(d|d<<1),x=16711935&(x|x<<8),x=252645135&(x|x<<4),x=858993459&(x|x<<2),x=1431655765&(x|x<<1),(x<<1|d)>>>0}i.default=n},\n",
+       "      function _(s,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});i.default=class{constructor(){this.ids=[],this.values=[],this.length=0}clear(){this.length=0}push(s,t){let i=this.length++;for(this.ids[i]=s,this.values[i]=t;i>0;){const s=i-1>>1,h=this.values[s];if(t>=h)break;this.ids[i]=this.ids[s],this.values[i]=h,i=s}this.ids[i]=s,this.values[i]=t}pop(){if(0===this.length)return;const s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let h=0;for(;h<i;){let s=1+(h<<1);const i=s+1;let e=this.ids[s],l=this.values[s];const n=this.values[i];if(i<this.length&&n<l&&(s=i,e=this.ids[i],l=n),l>=t)break;this.ids[h]=e,this.values[h]=l,h=s}this.ids[h]=s,this.values[h]=t}return s}peek(){if(0!==this.length)return this.ids[0]}peekValue(){if(0!==this.length)return this.values[0]}}},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const{min:h,max:r}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:h(t.x0,i.x0),x1:r(t.x1,i.x1),y0:h(t.y0,i.y0),y1:r(t.y1,i.y1)}};class s{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get rect(){return{x0:this.x0,y0:this.y0,x1:this.x1,y1:this.y1}}get box(){return{x:this.x,y:this.y,width:this.width,height:this.height}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}contains(t,i){return t>=this.x0&&t<=this.x1&&i>=this.y0&&i<=this.y1}clip(t,i){return t<this.x0?t=this.x0:t>this.x1&&(t=this.x1),i<this.y0?i=this.y0:i>this.y1&&(i=this.y1),[t,i]}union(t){return new s({x0:h(this.x0,t.x0),y0:h(this.y0,t.y0),x1:r(this.x1,t.x1),y1:r(this.y1,t.y1)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new Float64Array(t.length),e=this.left;for(let h=0;h<t.length;h++)i[h]=e+t[h];return i}}}get yview(){return{compute:t=>this.bottom-t,v_compute:t=>{const i=new Float64Array(t.length),e=this.bottom;for(let h=0;h<t.length;h++)i[h]=e-t[h];return i}}}}e.BBox=s,s.__name__=\"BBox\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=i.__importStar(t(18)),r=i.__importStar(t(88)),a=i.__importStar(t(32)),_=i.__importStar(t(70)),l=t(67),o=t(71),h=t(72),c=t(12),d=t(17),p=t(8),y=t(83),u=t(90),g=t(79);class x extends l.View{constructor(){super(...arguments),this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}initialize(){super.initialize(),this.visuals=new _.Visuals(this.model)}async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e){let s=null;try{s=await Promise.resolve().then(()=>i.__importStar(t(371)))}catch(t){if(\"MODULE_NOT_FOUND\"!==t.code)throw t;h.logger.warn(\"WebGL was requested and is supported, but bokeh-gl(.min).js is not available, falling back to 2D rendering.\")}if(null!=s){const t=s[this.model.type+\"GLGlyph\"];null!=t&&(this.glglyph=new t(e.gl,this))}}}set_visuals(t,e){this.visuals.set_all_indices(e),this.visuals.warm_cache(t),null!=this.glglyph&&this.glglyph.set_visuals_changed()}render(t,e,s){t.beginPath(),null!=this.glglyph&&this.glglyph.render(t,e,s)||this._render(t,e,s)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(t){return t}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const t=r.empty(),e=this.index.search(r.positive_x());for(const s of e)s.x0<t.x0&&(t.x0=s.x0),s.x1>t.x1&&(t.x1=s.x1);const s=this.index.search(r.positive_y());for(const e of s)e.y0<t.y0&&(t.y0=e.y0),e.y1>t.y1&&(t.y1=e.y1);return this._bounds(t)}get_anchor_point(t,e,[s,i]){switch(t){case\"center\":return{x:this.scenterx(e,s,i),y:this.scentery(e,s,i)};default:return null}}sdist(t,e,s,i=\"edge\",n=!1){let r,a;const _=e.length;if(\"center\"==i){const t=c.map(s,t=>t/2);r=new Float64Array(_);for(let s=0;s<_;s++)r[s]=e[s]-t[s];a=new Float64Array(_);for(let s=0;s<_;s++)a[s]=e[s]+t[s]}else{r=e,a=new Float64Array(_);for(let t=0;t<_;t++)a[t]=r[t]+s[t]}const l=t.v_compute(r),o=t.v_compute(a);return n?c.map(l,(t,e)=>Math.ceil(Math.abs(o[e]-l[e]))):c.map(l,(t,e)=>Math.abs(o[e]-l[e]))}draw_legend_for_index(t,e,s){}hit_test(t){switch(t.type){case\"point\":if(null!=this._hit_point)return this._hit_point(t);break;case\"span\":if(null!=this._hit_span)return this._hit_span(t);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(t);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(t)}return this._nohit_warned.has(t.type)||(h.logger.debug(`'${t.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(t.type)),null}_hit_rect_against_index(t){const{sx0:e,sx1:s,sy0:i,sy1:n}=t,[r,a]=this.renderer.xscale.r_invert(e,s),[_,l]=this.renderer.yscale.r_invert(i,n),o=this.index.indices({x0:r,x1:a,y0:_,y1:l});return new g.Selection({indices:o})}set_data(t,e,s){let i=this.model.materialize_dataspecs(t);if(e&&!(this instanceof y.LineView)){const t={};for(const s in i){const n=i[s];\"_\"===s.charAt(0)?t[s]=e.map(t=>n[t]):t[s]=n}i=t}const n=this;if(d.extend(n,i),this.renderer.plot_view.model.use_map&&(null!=n._x&&([n._x,n._y]=a.project_xy(n._x,n._y)),null!=n._xs&&([n._xs,n._ys]=a.project_xsys(n._xs,n._ys)),null!=n._x0&&([n._x0,n._y0]=a.project_xy(n._x0,n._y0)),null!=n._x1&&([n._x1,n._y1]=a.project_xy(n._x1,n._y1))),null!=this.renderer.plot_view.frame.x_ranges){const t=this.renderer.plot_view.frame.x_ranges[this.model.x_range_name],e=this.renderer.plot_view.frame.y_ranges[this.model.y_range_name];for(let[s,i]of this.model._coords)s=\"_\"+s,i=\"_\"+i,null!=n._xs?(t instanceof u.FactorRange&&(n[s]=c.map(n[s],e=>t.v_synthetic(e))),e instanceof u.FactorRange&&(n[i]=c.map(n[i],t=>e.v_synthetic(t)))):(t instanceof u.FactorRange&&(n[s]=t.v_synthetic(n[s])),e instanceof u.FactorRange&&(n[i]=e.v_synthetic(n[i])))}null!=this.glglyph&&this.glglyph.set_data_changed(n._x.length),this._set_data(s),this.index_data()}_set_data(t){}index_data(){this.index=this._index_data()}mask_data(t){return null!=this.glglyph||null==this._mask_data?t:this._mask_data()}map_data(){const t=this;for(let[e,s]of this.model._coords){const i=\"s\"+e,n=\"s\"+s;if(e=\"_\"+e,s=\"_\"+s,null!=t[e]&&(p.isArray(t[e][0])||p.isTypedArray(t[e][0]))){const r=t[e].length;t[i]=new Array(r),t[n]=new Array(r);for(let a=0;a<r;a++){const[r,_]=this.map_to_screen(t[e][a],t[s][a]);t[i][a]=r,t[n][a]=_}}else[t[i],t[n]]=this.map_to_screen(t[e],t[s])}this._map_data()}_map_data(){}map_to_screen(t,e){return this.renderer.plot_view.map_to_screen(t,e,this.model.x_range_name,this.model.y_range_name)}}s.GlyphView=x,x.__name__=\"GlyphView\";class m extends o.Model{constructor(t){super(t)}static init_Glyph(){this.prototype._coords=[],this.internal({x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"]})}static coords(t){const e=this.prototype._coords.concat(t);this.prototype._coords=e;const s={};for(const[e,i]of t)s[e]=[n.CoordinateSpec],s[i]=[n.CoordinateSpec];this.define(s)}}s.Glyph=m,m.__name__=\"Glyph\",m.init_Glyph()},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=t(1),i=t(91),r=s.__importStar(t(18)),a=t(12),o=t(9),p=t(8),g=t(11);function c(t,e,n=0){const s=new Map;for(let i=0;i<t.length;i++){const r=t[i];if(s.has(r))throw new Error(\"duplicate factor or subfactor: \"+r);s.set(r,{value:.5+i*(1+e)+n})}return[s,(t.length-1)*e]}function l(t,e,n,s=0){var i;const r=new Map,a=new Map;for(const[e,n]of t){const t=null!==(i=a.get(e))&&void 0!==i?i:[];a.set(e,[...t,n])}let p=s,g=0;for(const[t,s]of a){const i=s.length,[a,l]=c(s,n,p);g+=l;const u=o.sum(s.map(t=>a.get(t).value));r.set(t,{value:u/i,mapping:a}),p+=i+e+l}return[r,(a.size-1)*e+g]}function u(t,e,n,s,i=0){var r;const a=new Map,p=new Map;for(const[e,n,s]of t){const t=null!==(r=p.get(e))&&void 0!==r?r:[];p.set(e,[...t,[n,s]])}let g=i,c=0;for(const[t,i]of p){const r=i.length,[p,u]=l(i,n,s,g);c+=u;const h=o.sum(i.map(([t])=>p.get(t).value));a.set(t,{value:h/r,mapping:p}),g+=r+e+u}return[a,(p.size-1)*e+c]}n.map_one_level=c,n.map_two_levels=l,n.map_three_levels=u;class h extends i.Range{constructor(t){super(t)}static init_FactorRange(){this.define({factors:[r.Array,[]],factor_padding:[r.Number,0],subgroup_padding:[r.Number,.8],group_padding:[r.Number,1.4],range_padding:[r.Number,0],range_padding_units:[r.PaddingUnits,\"percent\"],start:[r.Number],end:[r.Number]}),this.internal({levels:[r.Number],mids:[r.Array,null],tops:[r.Array,null]})}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,()=>this.reset()),this.connect(this.properties.factor_padding.change,()=>this.reset()),this.connect(this.properties.group_padding.change,()=>this.reset()),this.connect(this.properties.subgroup_padding.change,()=>this.reset()),this.connect(this.properties.range_padding.change,()=>this.reset()),this.connect(this.properties.range_padding_units.change,()=>this.reset())}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[e]=t,n=this._mapping.get(e);return null!=n?n.value:NaN}case 2:{const[e,n]=t,s=this._mapping.get(e);if(null!=s){const t=s.mapping.get(n);if(null!=t)return t.value}return NaN}case 3:{const[e,n,s]=t,i=this._mapping.get(e);if(null!=i){const t=i.mapping.get(n);if(null!=t){const e=t.mapping.get(s);if(null!=e)return e.value}}return NaN}default:g.unreachable()}}synthetic(t){if(p.isNumber(t))return t;if(p.isString(t))return this._lookup([t]);let e=0;const n=t[t.length-1];return p.isNumber(n)&&(e=n,t=t.slice(0,-1)),this._lookup(t)+e}v_synthetic(t){return a.map(t,t=>this.synthetic(t))}_init(t){const{levels:e,mapping:n,tops:s,mids:i,inside_padding:r}=(()=>{if(o.every(this.factors,p.isString)){const t=this.factors,[e,n]=c(t,this.factor_padding);return{levels:1,mapping:e,tops:null,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&2==t.length&&p.isString(t[0])&&p.isString(t[1]))){const t=this.factors,[e,n]=l(t,this.group_padding,this.factor_padding),s=[...e.keys()];return{levels:2,mapping:e,tops:s,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&3==t.length&&p.isString(t[0])&&p.isString(t[1])&&p.isString(t[2]))){const t=this.factors,[e,n]=u(t,this.group_padding,this.subgroup_padding,this.factor_padding),s=[...e.keys()],i=[];for(const[t,n]of e)for(const e of n.mapping.keys())i.push([t,e]);return{levels:3,mapping:e,tops:s,mids:i,inside_padding:n}}g.unreachable()})();this._mapping=n,this.tops=s,this.mids=i;let a=0,h=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(h-a)*this.range_padding/2;a-=t,h+=t}else a-=this.range_padding,h+=this.range_padding;this.setv({start:a,end:h,levels:e},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,h]},{silent:!0})}}n.FactorRange=h,h.__name__=\"FactorRange\",h.init_FactorRange()},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(71),r=i.__importStar(e(18));class s extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define({bounds:[r.Any],min_interval:[r.Any],max_interval:[r.Any]}),this.internal({plots:[r.Array,[]]})}get is_reversed(){return this.start>this.end}}n.Range=s,s.__name__=\"Range\",s.init_Range()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1).__importStar(e(93));i.generic_line_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){t.save(),t.beginPath(),t.moveTo(i,(c+o)/2),t.lineTo(n,(c+o)/2),e.line.doit&&(e.line.set_vectorize(t,r),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){const l=.1*Math.abs(n-i),a=.1*Math.abs(o-c),s=i+l,_=n-l,h=c+a,v=o-a;e.fill.doit&&(e.fill.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(s,h,_-s,v-h),e.line.set_vectorize(t,r),t.stroke())},i.line_interpolation=function(e,t,i,c,o,r){const{sx:l,sy:a}=t;let s,_,h,v;\"point\"==t.type?([h,v]=e.yscale.r_invert(a-1,a+1),[s,_]=e.xscale.r_invert(l-1,l+1)):\"v\"==t.direction?([h,v]=e.yscale.r_invert(a,a),[s,_]=[Math.min(i-1,o-1),Math.max(i+1,o+1)]):([s,_]=e.xscale.r_invert(l,l),[h,v]=[Math.min(c-1,r-1),Math.max(c+1,r+1)]);const{x,y}=n.check_2_segments_intersect(s,h,_,v,i,c,o,r);return[x,y]}},\n",
+       "      function _(t,n,e){function i(t){return t*t}function o(t,n){return i(t.x-n.x)+i(t.y-n.y)}function r(t,n,e){const i=o(n,e);if(0==i)return o(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;return o(t,r<0?n:r>1?e:{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}Object.defineProperty(e,\"__esModule\",{value:!0}),e.point_in_poly=function(t,n,e,i){let o=!1,r=e[e.length-1],s=i[i.length-1];for(let u=0;u<e.length;u++){const c=e[u],_=i[u];s<n!=_<n&&r+(n-s)/(_-s)*(c-r)<t&&(o=!o),r=c,s=_}return o},e.point_in_ellipse=function(t,n,e,i,o,r,s){return((Math.cos(e)/o)**2+(Math.sin(e)/i)**2)*(t-r)**2+2*Math.cos(e)*Math.sin(e)*((1/o)**2-(1/i)**2)*(t-r)*(n-s)+((Math.cos(e)/i)**2+(Math.sin(e)/o)**2)*(n-s)**2<=1},e.dist_2_pts=o,e.dist_to_segment_squared=r,e.dist_to_segment=function(t,n,e){return Math.sqrt(r(t,n,e))},e.check_2_segments_intersect=function(t,n,e,i,o,r,s,u){const c=(u-r)*(e-t)-(s-o)*(i-n);if(0==c)return{hit:!1,x:null,y:null};{let _=n-r,l=t-o;const y=(e-t)*_-(i-n)*l;return _=((s-o)*_-(u-r)*l)/c,l=y/c,{hit:_>0&&_<1&&l>0&&l<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),l=e(84),_=e(92),n=s.__importStar(e(93)),o=s.__importStar(e(23)),a=e(79);class h extends l.XYGlyphView{_inner_loop(e,i,t,s,l){for(const _ of i)0!=_?isNaN(t[_]+s[_])?(e.closePath(),l.apply(e),e.beginPath()):e.lineTo(t[_],s[_]):(e.beginPath(),e.moveTo(t[_],s[_]));e.closePath(),l.call(e)}_render(e,i,{sx:t,sy:s}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner_loop(e,i,t,s,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner_loop(e,i,t,s,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_value(e),this._inner_loop(e,i,t,s,e.stroke))}draw_legend_for_index(e,i,t){_.generic_area_legend(this.visuals,e,i,t)}_hit_point(e){const i=new a.Selection;return n.point_in_poly(e.sx,e.sy,this.sx,this.sy)&&(i.add_to_selected_glyphs(this.model),i.get_view=()=>this),i}}t.PatchView=h,h.__name__=\"PatchView\";class r extends l.XYGlyph{constructor(e){super(e)}static init_Patch(){this.prototype.default_view=h,this.mixins([o.Line,o.Fill,o.Hatch])}}t.Patch=r,r.__name__=\"Patch\",r.init_Patch()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x1.length;t<s;t++){const s=this._x1[t],i=this._x2[t],r=this._y[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:Math.min(s,i),y0:r,x1:Math.max(s,i),y1:r,i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let s=0,r=t.length;s<r;s++)e.lineTo(t[s],i[s]);for(let t=s.length-1;t>=0;t--)e.lineTo(s[t],i[t]);e.closePath(),r.call(e)}_render(e,t,{sx1:s,sx2:i,sy:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}_hit_point(e){const t=this.sy.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx1[e],i[e]=this.sy[e],s[t+e]=this.sx2[t-e-1],i[t+e]=this.sy[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}scenterx(e){return(this.sx1[e]+this.sx2[e])/2}scentery(e){return this.sy[e]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}s.HAreaView=l,l.__name__=\"HAreaView\";class o extends r.Area{constructor(e){super(e)}static init_HArea(){this.prototype.default_view=l,this.define({x1:[_.CoordinateSpec],x2:[_.CoordinateSpec],y:[_.CoordinateSpec]})}}s.HArea=o,o.__name__=\"HArea\",o.init_HArea()},\n",
+       "      function _(e,_,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(1),r=e(89),t=e(92),n=a.__importStar(e(23));class s extends r.GlyphView{draw_legend_for_index(e,_,i){t.generic_area_legend(this.visuals,e,_,i)}}i.AreaView=s,s.__name__=\"AreaView\";class c extends r.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([n.Fill,n.HatchVector])}}i.Area=c,c.__name__=\"Area\",c.init_Area()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y1[t],r=this._y2[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:s,y0:Math.min(i,r),x1:s,y1:Math.max(i,r),i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let i=0,r=s.length;i<r;i++)e.lineTo(t[i],s[i]);for(let s=i.length-1;s>=0;s--)e.lineTo(t[s],i[s]);e.closePath(),r.call(e)}_render(e,t,{sx:s,sy1:i,sy2:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}scenterx(e){return this.sx[e]}scentery(e){return(this.sy1[e]+this.sy2[e])/2}_hit_point(e){const t=this.sx.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx[e],i[e]=this.sy1[e],s[t+e]=this.sx[t-e-1],i[t+e]=this.sy2[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}s.VAreaView=l,l.__name__=\"VAreaView\";class o extends r.Area{constructor(e){super(e)}static init_VArea(){this.prototype.default_view=l,this.define({x:[_.CoordinateSpec],y1:[_.CoordinateSpec],y2:[_.CoordinateSpec]})}}s.VArea=o,o.__name__=\"VArea\",o.init_VArea()},\n",
+       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),c=t.__importStar(i(18)),o=i(79),r=i(9),_=i(77);class h extends n.Model{constructor(i){super(i)}static init_CDSView(){this.define({filters:[c.Array,[]],source:[c.Instance]}),this.internal({indices:[c.Array,[]],indices_map:[c.Any,{}]})}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,()=>{this.compute_indices(),this.change.emit()});const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,()=>{e||(i(),e=!0)})}compute_indices(){const i=this.filters.map(i=>i.compute_indices(this.source)).filter(i=>null!=i);i.length>0?this.indices=r.intersection.apply(this,i):this.source instanceof _.ColumnarDataSource&&(this.indices=this.source.get_indices()),this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;i<this.indices.length;i++)this.indices_map[this.indices[i]]=i}convert_selection_from_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_selection_to_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices_map[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_indices_from_subset(i){return i.map(i=>this.indices[i])}}s.CDSView=h,h.__name__=\"CDSView\",h.init_CDSView()},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(9);async function i(e,n,t){const o=new e(Object.assign(Object.assign({},t),{model:n}));return o.initialize(),await o.lazy_initialize(),o}t.build_view=async function(e,n={parent:null},t=(e=>e.default_view)){const o=await i(t(e),e,n);return o.connect_signals(),o},t.build_views=async function(e,n,t={parent:null},s=(e=>e.default_view)){const c=o.difference([...e.keys()],n);for(const n of c)e.get(n).remove(),e.delete(n);const a=[],f=n.filter(n=>!e.has(n));for(const n of f){const o=await i(s(n),n,t);e.set(n,o),a.push(o)}for(const e of a)e.connect_signals();return a},t.remove_views=function(e){for(const[n,t]of e)t.remove(),e.delete(n)}},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),r=e(82),i=e(101),a=s.__importStar(e(18)),d=e(99);class _ extends r.DataRendererView{initialize(){super.initialize(),this.xscale=this.plot_view.frame.xscales.default,this.yscale=this.plot_view.frame.yscales.default,this._renderer_views=new Map}async lazy_initialize(){[this.node_view,this.edge_view]=await d.build_views(this._renderer_views,[this.model.node_renderer,this.model.edge_renderer],{parent:this.parent}),this.set_data()}remove(){d.remove_views(this._renderer_views),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,()=>this.set_data()),this.connect(this.model.node_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.change,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.change,()=>this.set_data());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const n=e[t];this.connect(n.change,()=>this.set_data())}for(const e in t){const n=t[e];this.connect(n.change,()=>this.set_data())}}set_data(e=!0){this.node_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.edge_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0});const t=this.node_view.glyph;[t._x,t._y]=this.model.layout_provider.get_node_coordinates(this.model.node_renderer.data_source);const n=this.edge_view.glyph;[n._xs,n._ys]=this.model.layout_provider.get_edge_coordinates(this.model.edge_renderer.data_source),t.index_data(),n.index_data(),e&&this.request_render()}render(){this.edge_view.render(),this.node_view.render()}}n.GraphRendererView=_,_.__name__=\"GraphRendererView\";class o extends r.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=_,this.define({layout_provider:[a.Instance],node_renderer:[a.Instance],edge_renderer:[a.Instance],selection_policy:[a.Instance,()=>new i.NodesOnly],inspection_policy:[a.Instance,()=>new i.NodesOnly]})}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=o,o.__name__=\"GraphRenderer\",o.init_GraphRenderer()},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const d=e(71),s=e(12),o=e(9),_=e(79);class i extends d.Model{constructor(e){super(e)}_hit_test_nodes(e,t){if(!t.model.visible)return null;const n=t.node_view.glyph.hit_test(e);return null==n?null:t.node_view.model.view.convert_selection_from_subset(n)}_hit_test_edges(e,t){if(!t.model.visible)return null;const n=t.edge_view.glyph.hit_test(e);return null==n?null:t.edge_view.model.view.convert_selection_from_subset(n)}}n.GraphHitTestPolicy=i,i.__name__=\"GraphHitTestPolicy\";class r extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.model.get_selection_manager().get_or_create_inspector(n.node_view.model);return o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesOnly=r,r.__name__=\"NodesOnly\";class c extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}get_linked_edges(e,t,n){let d=[];\"selection\"==n?d=e.selected.indices.map(t=>e.data.index[t]):\"inspection\"==n&&(d=e.inspected.indices.map(t=>e.data.index[t]));const s=[];for(let e=0;e<t.data.start.length;e++)(o.contains(d,t.data.start[e])||o.contains(d,t.data.end[e]))&&s.push(e);const i=new _.Selection;for(const e of s)i.multiline_indices[e]=[0];return i.indices=s,i}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;s.update(e,n,d);const o=t.edge_renderer.data_source.selected,_=this.get_linked_edges(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model);o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model),i=this.get_linked_edges(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.edge_view.model.data_source.setv({inspected:_},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesAndLinkedEdges=c,c.__name__=\"NodesAndLinkedEdges\";class a extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_edges(e,t)}get_linked_nodes(e,t,n){let d=[];\"selection\"==n?d=t.selected.indices:\"inspection\"==n&&(d=t.inspected.indices);const i=[];for(const e of d)i.push(t.data.start[e]),i.push(t.data.end[e]);const r=o.uniq(i).map(t=>s.indexOf(e.data.index,t));return new _.Selection({indices:r})}do_selection(e,t,n,d){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,n,d);const o=t.node_renderer.data_source.selected,_=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model);o.update(e,d,s),n.edge_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model),i=this.get_linked_nodes(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.node_view.model.data_source.setv({inspected:_},{silent:!0}),n.edge_view.model.data_source.inspect.emit([n.edge_view,{geometry:t}]),!o.is_empty()}}n.EdgesAndLinkedNodes=a,a.__name__=\"EdgesAndLinkedNodes\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(71);class o extends s.Model{do_selection(e,t,n,s){return null!==e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=o,o.__name__=\"SelectionPolicy\";class r extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=r,r.__name__=\"IntersectRenderers\";class c extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=c,c.__name__=\"UnionRenderers\"},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.concat=function(t,...e){let n=t.length;for(const t of e)n+=t.length;const o=new t.constructor(n);o.set(t,0);let c=t.length;for(const t of e)o.set(t,c),c+=t.length;return o}},\n",
+       "      function _(n,o,e){function t(...n){const o=new Set;for(const e of n)for(const n of e)o.add(n);return o}Object.defineProperty(e,\"__esModule\",{value:!0}),e.union=t,e.intersection=function(n,...o){const e=new Set;n:for(const t of n){for(const n of o)if(!n.has(t))continue n;e.add(t)}return e},e.difference=function(n,...o){const e=new Set(n);for(const n of t(...o))e.delete(n);return e}},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(13);class o{constructor(e){this.document=e}}s.DocumentEvent=o,o.__name__=\"DocumentEvent\";class r extends o{constructor(e,t,s){super(e),this.events=t,this.setter_id=s}}s.DocumentEventBatch=r,r.__name__=\"DocumentEventBatch\";class d extends o{}s.DocumentChangedEvent=d,d.__name__=\"DocumentChangedEvent\";class _ extends d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}json(e){const t=this.msg_data,s=n.HasProps._value_to_json(t),o=new Set;return n.HasProps._value_record_references(t,o,{recursive:!0}),{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=_,_.__name__=\"MessageSentEvent\";class i extends d{constructor(e,t,s,n,o,r,d){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=r,this.hint=d}json(e){if(\"id\"===this.attr)throw new Error(\"'id' field should never change, whatever code just set it is wrong\");if(null!=this.hint)return this.hint.json(e);const t=this.new_,s=n.HasProps._value_to_json(t),o=new Set;n.HasProps._value_record_references(t,o,{recursive:!0}),o.has(this.model)&&this.model!==t&&o.delete(this.model);for(const t of o)e.add(t);return{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=i,i.__name__=\"ModelChangedEvent\";class a extends d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}json(e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=a,a.__name__=\"ColumnsPatchedEvent\";class c extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}json(e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=c,c.__name__=\"ColumnsStreamedEvent\";class h extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}json(e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=h,h.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return n.HasProps._value_record_references(this.model,e,{recursive:!0}),{kind:\"RootAdded\",model:this.model.ref()}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class l extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=l,l.__name__=\"RootRemovedEvent\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(31),o=e(76),l=i.__importStar(e(23)),a=i.__importStar(e(18));class n extends _.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],_=\"height\"==t?i:s,o=\"height\"==t?s:i,l=\"height\"==t?e.yview:e.xview,a=\"height\"==t?e.xview:e.yview;let n,h,r;n=\"data\"==this.model.properties.lower.units?_.v_compute(this._lower):l.v_compute(this._lower),h=\"data\"==this.model.properties.upper.units?_.v_compute(this._upper):l.v_compute(this._upper),r=\"data\"==this.model.properties.base.units?o.v_compute(this._base):a.v_compute(this._base);const[c,p]=\"height\"==t?[1,0]:[0,1],u=[n,r],d=[h,r];this._lower_sx=u[c],this._lower_sy=u[p],this._upper_sx=d[c],this._upper_sy=d[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);for(let t=this._upper_sx.length-1;t>=0;t--)e.lineTo(this._upper_sx[t],this._upper_sy[t]);e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(e),e.fill()),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke()),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let t=0,s=this._upper_sx.length;t<s;t++)e.lineTo(this._upper_sx[t],this._upper_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke())}}s.BandView=n,n.__name__=\"BandView\";class h extends _.Annotation{constructor(e){super(e)}static init_Band(){this.prototype.default_view=n,this.mixins([l.Line,l.Fill]),this.define({lower:[a.DistanceSpec],upper:[a.DistanceSpec],base:[a.DistanceSpec],dimension:[a.Dimension,\"height\"],source:[a.Instance,()=>new o.ColumnDataSource],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}}s.Band=h,h.__name__=\"Band\",h.init_Band()},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),n=t(31),o=t(14),l=s.__importStar(t(23)),a=s.__importStar(t(18)),r=t(88);e.EDGE_TOLERANCE=2.5;class h extends n.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this)),this.connect(this.model.data_update,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;if(null==this.model.left&&null==this.model.right&&null==this.model.top&&null==this.model.bottom)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],e=t.yscales[this.model.y_range_name],s=(t,i,e,s,n)=>{let o;return o=null!=t?this.model.screen?t:\"data\"==i?e.compute(t):s.compute(t):n,o};this.sleft=s(this.model.left,this.model.left_units,i,t.xview,t._left.value),this.sright=s(this.model.right,this.model.right_units,i,t.xview,t._right.value),this.stop=s(this.model.top,this.model.top_units,e,t.yview,t._top.value),this.sbottom=s(this.model.bottom,this.model.bottom_units,e,t.yview,t._bottom.value),this._paint_box(this.sleft,this.sright,this.sbottom,this.stop)}_paint_box(t,i,e,s){const{ctx:n}=this.layer;n.save(),n.beginPath(),n.rect(t,s,i-t,e-s),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill()),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),n.restore()}interactive_bbox(){const t=this.model.properties.line_width.value()+e.EDGE_TOLERANCE;return new r.BBox({x0:this.sleft-t,y0:this.stop-t,x1:this.sright+t,y1:this.sbottom+t})}interactive_hit(t,i){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,i)}cursor(t,i){return Math.abs(t-this.sleft)<3||Math.abs(t-this.sright)<3?this.model.ew_cursor:Math.abs(i-this.sbottom)<3||Math.abs(i-this.stop)<3?this.model.ns_cursor:t>this.sleft&&t<this.sright&&i>this.stop&&i<this.sbottom?this.model.in_cursor:null}}e.BoxAnnotationView=h,h.__name__=\"BoxAnnotationView\";class _ extends n.Annotation{constructor(t){super(t)}static init_BoxAnnotation(){this.prototype.default_view=h,this.mixins([l.Line,l.Fill]),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],top:[a.Number,null],top_units:[a.SpatialUnits,\"data\"],bottom:[a.Number,null],bottom_units:[a.SpatialUnits,\"data\"],left:[a.Number,null],left_units:[a.SpatialUnits,\"data\"],right:[a.Number,null],right_units:[a.SpatialUnits,\"data\"]}),this.internal({screen:[a.Boolean,!1],ew_cursor:[a.String,null],ns_cursor:[a.String,null],in_cursor:[a.String,null]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({left:t,right:i,top:e,bottom:s}){this.setv({left:t,right:i,top:e,bottom:s,screen:!0},{silent:!0}),this.data_update.emit()}}e.BoxAnnotation=_,_.__name__=\"BoxAnnotation\",_.init_BoxAnnotation()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),a=t(31),s=t(109),r=t(113),l=t(115),n=t(120),_=t(130),h=t(131),m=o.__importStar(t(23)),d=o.__importStar(t(18)),c=o.__importStar(t(132)),u=t(9),p=t(12),g=t(8),f=t(11);class b extends a.AnnotationView{initialize(){super.initialize(),this._set_canvas_image()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.visible.change,()=>this.plot_view.request_render()),this.connect(this.model.ticker.change,()=>this.plot_view.request_render()),this.connect(this.model.formatter.change,()=>this.plot_view.request_render()),null!=this.model.color_mapper&&this.connect(this.model.color_mapper.change,()=>{this._set_canvas_image(),this.plot_view.request_render()})}_get_size(){if(null==this.model.color_mapper)return{width:0,height:0};{const{width:t,height:e}=this.compute_legend_dimensions();return{width:t,height:e}}}_set_canvas_image(){if(null==this.model.color_mapper)return;let t,e,{palette:i}=this.model.color_mapper;switch(\"vertical\"==this.model.orientation&&(i=u.reversed(i)),this.model.orientation){case\"vertical\":[t,e]=[1,i.length];break;case\"horizontal\":[t,e]=[i.length,1]}const o=document.createElement(\"canvas\");o.width=t,o.height=e;const a=o.getContext(\"2d\"),s=a.getImageData(0,0,t,e),r=new l.LinearColorMapper({palette:i}).rgba_mapper.v_compute(u.range(0,i.length));s.data.set(r),a.putImageData(s,0,0),this.image=o}compute_legend_dimensions(){const t=this._computed_image_dimensions(),[e,i]=[t.height,t.width],o=this._get_label_extent(),a=this._title_extent(),s=this._tick_extent(),{padding:r}=this.model;let l,n;switch(this.model.orientation){case\"vertical\":l=e+a+2*r,n=i+s+o+2*r;break;case\"horizontal\":l=e+a+s+o+2*r,n=i+2*r}return{width:n,height:l}}compute_legend_location(){const t=this.compute_legend_dimensions(),[e,i]=[t.height,t.width],o=this.model.margin,a=null!=this.panel?this.panel:this.plot_view.frame,[s,r]=a.bbox.ranges,{location:l}=this.model;let n,_;if(g.isString(l))switch(l){case\"top_left\":n=s.start+o,_=r.start+o;break;case\"top_center\":n=(s.end+s.start)/2-i/2,_=r.start+o;break;case\"top_right\":n=s.end-o-i,_=r.start+o;break;case\"bottom_right\":n=s.end-o-i,_=r.end-o-e;break;case\"bottom_center\":n=(s.end+s.start)/2-i/2,_=r.end-o-e;break;case\"bottom_left\":n=s.start+o,_=r.end-o-e;break;case\"center_left\":n=s.start+o,_=(r.end+r.start)/2-e/2;break;case\"center\":n=(s.end+s.start)/2-i/2,_=(r.end+r.start)/2-e/2;break;case\"center_right\":n=s.end-o-i,_=(r.end+r.start)/2-e/2}else if(g.isArray(l)&&2==l.length){const[t,i]=l;n=a.xview.compute(t),_=a.yview.compute(i)-e}else f.unreachable();return{sx:n,sy:_}}render(){if(!this.model.visible||null==this.model.color_mapper)return;const{ctx:t}=this.layer;t.save();const{sx:e,sy:i}=this.compute_legend_location();t.translate(e,i),this._draw_bbox(t);const o=this._get_image_offset();if(t.translate(o.x,o.y),this._draw_image(t),null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high){const e=this.tick_info();this._draw_major_ticks(t,e),this._draw_minor_ticks(t,e),this._draw_major_labels(t,e)}this.model.title&&this._draw_title(t),t.restore()}_draw_bbox(t){const e=this.compute_legend_dimensions();t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(0,0,e.width,e.height)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_image(t){const e=this._computed_image_dimensions();t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this.image,0,0,e.width,e.height),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_major_ticks(t,e){if(!this.visuals.major_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.major,_=this.model.major_tick_in,h=this.model.major_tick_out;t.save(),t.translate(s,r),this.visuals.major_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_minor_ticks(t,e){if(!this.visuals.minor_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.minor,_=this.model.minor_tick_in,h=this.model.minor_tick_out;t.save(),t.translate(s,r),this.visuals.minor_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_major_labels(t,e){if(!this.visuals.major_label_text.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],l=this.model.label_standoff+this._tick_extent(),[n,_]=[l*i,l*o],[h,m]=e.coords.major,d=e.labels.major;this.visuals.major_label_text.set_value(t),t.save(),t.translate(s+n,r+_);for(let e=0,a=h.length;e<a;e++)t.fillText(d[e],Math.round(h[e]+i*this.model.label_standoff),Math.round(m[e]+o*this.model.label_standoff));t.restore()}_draw_title(t){this.visuals.title_text.doit&&(t.save(),this.visuals.title_text.set_value(t),t.fillText(this.model.title,0,-this.model.title_standoff),t.restore())}_get_label_extent(){const t=this.tick_info().labels.major;let e;if(null==this.model.color_mapper.low||null==this.model.color_mapper.high||u.is_empty(t))e=0;else{const{ctx:i}=this.layer;switch(i.save(),this.visuals.major_label_text.set_value(i),this.model.orientation){case\"vertical\":e=u.max(t.map(t=>i.measureText(t.toString()).width));break;case\"horizontal\":e=c.measure_font(this.visuals.major_label_text.font_value()).height}e+=this.model.label_standoff,i.restore()}return e}_get_image_offset(){return{x:this.model.padding,y:this.model.padding+this._title_extent()}}_normals(){return\"vertical\"==this.model.orientation?[1,0]:[0,1]}_title_extent(){const t=this.model.title_text_font+\" \"+this.model.title_text_font_size+\" \"+this.model.title_text_font_style;return this.model.title?c.measure_font(t).height+this.model.title_standoff:0}_tick_extent(){return null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high?u.max([this.model.major_tick_out,this.model.minor_tick_out]):0}_computed_image_dimensions(){const t=this.plot_view.frame._height.value,e=this.plot_view.frame._width.value,i=this._title_extent();let o,a;switch(this.model.orientation){case\"vertical\":\"auto\"==this.model.height?null!=this.panel?o=t-2*this.model.padding-i:(o=u.max([25*this.model.color_mapper.palette.length,.3*t]),o=u.min([o,.8*t-2*this.model.padding-i])):o=this.model.height,a=\"auto\"==this.model.width?25:this.model.width;break;case\"horizontal\":o=\"auto\"==this.model.height?25:this.model.height,\"auto\"==this.model.width?null!=this.panel?a=e-2*this.model.padding:(a=u.max([25*this.model.color_mapper.palette.length,.3*e]),a=u.min([a,.8*e-2*this.model.padding])):a=this.model.width}return{width:a,height:o}}_tick_coordinate_scale(t){const e={source_range:new h.Range1d({start:this.model.color_mapper.low,end:this.model.color_mapper.high}),target_range:new h.Range1d({start:0,end:t})};switch(this.model.color_mapper.type){case\"LinearColorMapper\":return new n.LinearScale(e);case\"LogColorMapper\":return new _.LogScale(e);default:f.unreachable()}}_format_major_labels(t,e){const i=this.model.formatter.doFormat(t,null);for(let t=0,o=e.length;t<o;t++)e[t]in this.model.major_label_overrides&&(i[t]=this.model.major_label_overrides[e[t]]);return i}tick_info(){const t=this._computed_image_dimensions();let e;switch(this.model.orientation){case\"vertical\":e=t.height;break;case\"horizontal\":e=t.width}const i=this._tick_coordinate_scale(e),[o,a]=this._normals(),[s,r]=[this.model.color_mapper.low,this.model.color_mapper.high],l=this.model.ticker.get_ticks(s,r,null,null,this.model.ticker.desired_num_ticks),n=l.major,_=l.minor,h=[[],[]],m=[[],[]];for(let t=0,e=n.length;t<e;t++)n[t]<s||n[t]>r||(h[o].push(n[t]),h[a].push(0));for(let t=0,e=_.length;t<e;t++)_[t]<s||_[t]>r||(m[o].push(_[t]),m[a].push(0));const d={major:this._format_major_labels(h[o],n)},c={major:[[],[]],minor:[[],[]]};return c.major[o]=i.v_compute(h[o]),c.minor[o]=i.v_compute(m[o]),c.major[a]=h[a],c.minor[a]=m[a],\"vertical\"==this.model.orientation&&(c.major[o]=p.map(c.major[o],t=>e-t),c.minor[o]=p.map(c.minor[o],t=>e-t)),{coords:c,labels:d}}}i.ColorBarView=b,b.__name__=\"ColorBarView\";class v extends a.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=b,this.mixins([[\"major_label_\",m.Text],[\"title_\",m.Text],[\"major_tick_\",m.Line],[\"minor_tick_\",m.Line],[\"border_\",m.Line],[\"bar_\",m.Line],[\"background_\",m.Fill]]),this.define({location:[d.Any,\"top_right\"],orientation:[d.Orientation,\"vertical\"],title:[d.String],title_standoff:[d.Number,2],width:[d.Any,\"auto\"],height:[d.Any,\"auto\"],scale_alpha:[d.Number,1],ticker:[d.Instance,()=>new s.BasicTicker],formatter:[d.Instance,()=>new r.BasicTickFormatter],major_label_overrides:[d.Any,{}],color_mapper:[d.Instance],label_standoff:[d.Number,5],margin:[d.Number,30],padding:[d.Number,10],major_tick_in:[d.Number,5],major_tick_out:[d.Number,0],minor_tick_in:[d.Number,0],minor_tick_out:[d.Number,0]}),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_align:\"center\",major_label_text_baseline:\"middle\",major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}}i.ColorBar=v,v.__name__=\"ColorBar\",v.init_ColorBar()},\n",
+       "      function _(e,c,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(110);class r extends i.AdaptiveTicker{constructor(e){super(e)}}s.BasicTicker=r,r.__name__=\"BasicTicker\"},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(111),n=t(9),r=a.__importStar(t(18));class _ extends s.ContinuousTicker{constructor(t){super(t)}static init_AdaptiveTicker(){this.define({base:[r.Number,10],mantissas:[r.Array,[1,2,5]],min_interval:[r.Number,0],max_interval:[r.Number]})}initialize(){super.initialize();const t=n.nth(this.mantissas,-1)/this.base,i=n.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,e){const a=i-t,s=this.get_ideal_interval(t,i,e),r=Math.floor(function(t,i=Math.E){return Math.log(t)/Math.log(i)}(s/this.base_factor,this.base)),_=this.base**r*this.base_factor,h=this.extended_mantissas,m=h.map(t=>Math.abs(e-a/(t*_))),o=h[n.argmin(m)];return c=o*_,l=this.get_min_interval(),u=this.get_max_interval(),Math.max(l,Math.min(u,c));var c,l,u}}e.AdaptiveTicker=_,_.__name__=\"AdaptiveTicker\",_.init_AdaptiveTicker()},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),r=t(112),s=n.__importStar(t(18)),o=t(9);class _ extends r.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define({num_minor_ticks:[s.Number,5],desired_num_ticks:[s.Number,6]})}get_ticks(t,i,e,n,r){return this.get_ticks_no_defaults(t,i,n,this.desired_num_ticks)}get_ticks_no_defaults(t,i,e,n){const r=this.get_interval(t,i,n),s=Math.floor(t/r),_=Math.ceil(i/r);let c;c=isNaN(s)||isNaN(_)?[]:o.range(s,_+1);const u=c.map(t=>t*r).filter(e=>t<=e&&e<=i),a=this.num_minor_ticks,l=[];if(a>0&&u.length>0){const e=r/a,n=o.range(0,a).map(t=>t*e);for(const e of n.slice(1)){const n=u[0]-e;t<=n&&n<=i&&l.push(n)}for(const e of u)for(const r of n){const n=e+r;t<=n&&n<=i&&l.push(n)}}return{major:u,minor:l}}get_min_interval(){return this.min_interval}get_max_interval(){return null!=this.max_interval?this.max_interval:1/0}get_ideal_interval(t,i,e){return(i-t)/e}}e.ContinuousTicker=_,_.__name__=\"ContinuousTicker\",_.init_ContinuousTicker()},\n",
+       "      function _(e,c,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(71);class r extends o.Model{constructor(e){super(e)}}n.Ticker=r,r.__name__=\"Ticker\"},\n",
+       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),s=i(114),n=r.__importStar(i(18));class o extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define({precision:[n.Any,\"auto\"],use_scientific:[n.Boolean,!0],power_limit_high:[n.Number,5],power_limit_low:[n.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,r=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const s of i){const i=Math.abs(s);if(!(i<=r)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){const r=new Array(i.length);if(t)for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toExponential(e);else for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toFixed(e).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");return r}_auto_precision(i,t){const e=new Array(i.length),r=this.last_precision<=15;i:for(let s=this.last_precision;r?s<=15:s>=1;r?s++:s--){if(t){e[0]=i[0].toExponential(s);for(let t=1;t<i.length;t++)if(e[t]==e[t-1])continue i;this.last_precision=s;break}e[0]=i[0].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");for(let t=1;t<i.length;t++)if(e[t]=i[t].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"),e[t]==e[t-1])continue i;this.last_precision=s;break}return this.last_precision}doFormat(i,t){if(0==i.length)return[];const e=this._need_sci(i),r=\"auto\"==this.precision?this._auto_precision(i,e):this.precision;return this._format_with_precision(i,e,r)}}e.BasicTickFormatter=o,o.__name__=\"BasicTickFormatter\",o.init_BasicTickFormatter()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class c extends r.Model{constructor(e){super(e)}}o.TickFormatter=c,c.__name__=\"TickFormatter\"},\n",
+       "      function _(o,n,l){Object.defineProperty(l,\"__esModule\",{value:!0});const e=o(116),t=o(12);class i extends e.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,n,l,e){const{nan_color:i,low_color:r,high_color:s}=e,c=null!=this.low?this.low:t.min(o),h=null!=this.high?this.high:t.max(o),u=l.length-1,a=1/(h-c),_=1/l.length;for(let e=0,t=o.length;e<t;e++){const t=o[e];if(isNaN(t)){n[e]=i;continue}if(t==h){n[e]=l[u];continue}const p=(t-c)*a,f=Math.floor(p/_);n[e]=f<0?null!=r?r:l[0]:f>u?null!=s?s:l[u]:l[f]}}}l.LinearColorMapper=i,i.__name__=\"LinearColorMapper\"},\n",
+       "      function _(o,r,l){Object.defineProperty(l,\"__esModule\",{value:!0});const i=o(1),t=o(117),e=i.__importStar(o(18));class s extends t.ColorMapper{constructor(o){super(o)}static init_ContinuousColorMapper(){this.define({high:[e.Number],low:[e.Number],high_color:[e.Color],low_color:[e.Color]})}_colors(o){return Object.assign(Object.assign({},super._colors(o)),{low_color:null!=this.low_color?o(this.low_color):void 0,high_color:null!=this.high_color?o(this.high_color):void 0})}}l.ContinuousColorMapper=s,s.__name__=\"ContinuousColorMapper\",s.init_ContinuousColorMapper()},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(118),_=n.__importStar(t(18)),i=t(8),l=t(20),c=t(28);function a(t){return i.isNumber(t)?t:(\"#\"!=t[0]&&(t=l.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function s(t){const e=new Uint32Array(t.length);for(let r=0,n=t.length;r<n;r++)e[r]=a(t[r]);return e}function p(t){if(c.is_little_endian){const e=new DataView(t.buffer);for(let r=0,n=t.length;r<n;r++)e.setUint32(4*r,t[r])}return new Uint8Array(t.buffer)}r._convert_color=a,r._convert_palette=s,r._uint32_to_rgba=p;class u extends o.Mapper{constructor(t){super(t)}static init_ColorMapper(){this.define({palette:[_.Any],nan_color:[_.Color,\"gray\"]})}v_compute(t){const e=new Array(t.length);return this._v_compute(t,e,this.palette,this._colors(t=>t)),e}get rgba_mapper(){const t=this,e=s(this.palette),r=this._colors(a);return{v_compute(n){const o=new Uint32Array(n.length);return t._v_compute(n,o,e,r),p(o)}}}_colors(t){return{nan_color:t(this.nan_color)}}}r.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n",
+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(119);class s extends o.Transform{constructor(e){super(e)}compute(e){throw new Error(\"mapping single values is not supported\")}}n.Mapper=s,s.__name__=\"Mapper\"},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class s extends r.Model{constructor(e){super(e)}}o.Transform=s,s.__name__=\"Transform\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(121);class _ extends r.ContinuousScale{constructor(e){super(e)}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const c=e(122);class s extends c.Scale{constructor(e){super(e)}}o.ContinuousScale=s,s.__name__=\"ContinuousScale\"},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),_=t(123),s=n.__importStar(t(18));class i extends _.Transform{constructor(t){super(t)}static init_Scale(){this.internal({source_range:[s.Any],target_range:[s.Any]})}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=e*t[_]+r;return n}_linear_invert(t){const[e,r]=this._linear_compute_state();return(t-r)/e}_linear_v_invert(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=(t[_]-r)/e;return n}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,r=this.target_range.start,n=(this.target_range.end-r)/(e-t);return[n,-n*t+r]}}r.Scale=i,i.__name__=\"Scale\",i.init_Scale()},\n",
+       "      function _(r,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=r(124);t.CustomJSTransform=e.CustomJSTransform;var a=r(125);t.Dodge=a.Dodge;var n=r(126);t.Interpolator=n.Interpolator;var p=r(127);t.Jitter=p.Jitter;var l=r(128);t.LinearInterpolator=l.LinearInterpolator;var v=r(129);t.StepInterpolator=v.StepInterpolator;var s=r(119);t.Transform=s.Transform},\n",
+       "      function _(t,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),e=t(119),a=n.__importStar(t(18)),o=t(17),u=t(24);class i extends e.Transform{constructor(t){super(t)}static init_CustomJSTransform(){this.define({args:[a.Any,{}],func:[a.String,\"\"],v_func:[a.String,\"\"]})}get names(){return o.keys(this.args)}get values(){return o.values(this.args)}_make_transform(t,r){return new Function(...this.names,t,u.use_strict(r))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(t){return this.scalar_transform(...this.values,t)}v_compute(t){return this.vector_transform(...this.values,t)}}s.CustomJSTransform=i,i.__name__=\"CustomJSTransform\",i.init_CustomJSTransform()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(1),o=e(119),i=e(90),s=n.__importStar(e(18)),a=e(8);class c extends o.Transform{constructor(e){super(e)}static init_Dodge(){this.define({value:[s.Number,0],range:[s.Instance]})}v_compute(e){let t;if(this.range instanceof i.FactorRange)t=this.range.v_synthetic(e);else{if(!a.isArrayableOf(e,a.isNumber))throw new Error(\"unexpected\");t=e}const r=new Float64Array(t.length);for(let e=0;e<t.length;e++){const n=t[e];r[e]=this._compute(n)}return r}compute(e){if(this.range instanceof i.FactorRange)return this._compute(this.range.synthetic(e));if(a.isNumber(e))return this._compute(e);throw new Error(\"unexpected\")}_compute(e){return e+this.value}}r.Dodge=c,c.__name__=\"Dodge\",c.init_Dodge()},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(119),n=s.__importStar(t(18)),i=t(9),a=t(8);class h extends o.Transform{constructor(t){super(t),this._sorted_dirty=!0}static init_Interpolator(){this.define({x:[n.Any],y:[n.Any],data:[n.Any],clip:[n.Boolean,!0]})}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._sorted_dirty=!0)}v_compute(t){const e=new Float64Array(t.length);for(let r=0;r<t.length;r++){const s=t[r];e[r]=this.compute(s)}return e}sort(t=!1){if(!this._sorted_dirty)return;let e,r;if(a.isString(this.x)&&a.isString(this.y)&&null!=this.data){const t=this.data.columns();if(!i.includes(t,this.x))throw new Error(\"The x parameter does not correspond to a valid column name defined in the data parameter\");if(!i.includes(t,this.y))throw new Error(\"The y parameter does not correspond to a valid column name defined in the data parameter\");e=this.data.get_column(this.x),r=this.data.get_column(this.y)}else{if(!a.isArray(this.x)||!a.isArray(this.y))throw new Error(\"parameters 'x' and 'y' must be both either string fields or arrays\");e=this.x,r=this.y}if(e.length!==r.length)throw new Error(\"The length for x and y do not match\");if(e.length<2)throw new Error(\"x and y must have at least two elements to support interpolation\");const s=[];for(const t in e)s.push({x:e[t],y:r[t]});t?s.sort((t,e)=>t.x>e.x?-1:t.x==e.x?0:1):s.sort((t,e)=>t.x<e.x?-1:t.x==e.x?0:1),this._x_sorted=[],this._y_sorted=[];for(const{x:t,y:e}of s)this._x_sorted.push(t),this._y_sorted.push(e);this._sorted_dirty=!1}}r.Interpolator=h,h.__name__=\"Interpolator\",h.init_Interpolator()},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),n=t(119),s=t(90),o=t(8),u=i.__importStar(t(18)),a=i.__importStar(t(10));class h extends n.Transform{constructor(t){super(t)}static init_Jitter(){this.define({mean:[u.Number,0],width:[u.Number,1],distribution:[u.Distribution,\"uniform\"],range:[u.Instance]}),this.internal({previous_values:[u.Array]})}v_compute(t){if(null!=this.previous_values&&this.previous_values.length==t.length)return this.previous_values;let e;if(this.range instanceof s.FactorRange)e=this.range.v_synthetic(t);else{if(!o.isArrayableOf(t,o.isNumber))throw new Error(\"unexpected\");e=t}const r=new Float64Array(e.length);for(let t=0;t<e.length;t++){const i=e[t];r[t]=this._compute(i)}return this.previous_values=r,r}compute(t){if(this.range instanceof s.FactorRange)return this._compute(this.range.synthetic(t));if(o.isNumber(t))return this._compute(t);throw new Error(\"unexpected\")}_compute(t){switch(this.distribution){case\"uniform\":return t+this.mean+(a.random()-.5)*this.width;case\"normal\":return t+a.rnorm(this.mean,this.width)}}}r.Jitter=h,h.__name__=\"Jitter\",h.init_Jitter()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const _=t(9),r=t(126);class o extends r.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=_.find_last_index(this._x_sorted,s=>s<t),e=this._x_sorted[s],r=this._x_sorted[s+1],o=this._y_sorted[s],i=this._y_sorted[s+1];return o+(t-e)/(r-e)*(i-o)}}e.LinearInterpolator=o,o.__name__=\"LinearInterpolator\"},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(126),_=s.__importStar(t(18)),i=t(9);class n extends o.Interpolator{constructor(t){super(t)}static init_StepInterpolator(){this.define({mode:[_.StepMode,\"after\"]})}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=i.find_last_index(this._x_sorted,e=>t>=e);break;case\"before\":e=i.find_index(this._x_sorted,e=>t<=e);break;case\"center\":{const r=this._x_sorted.map(e=>Math.abs(e-t)),s=i.min(r);e=i.find_index(r,t=>s===t);break}default:throw new Error(\"unknown mode: \"+this.mode)}return-1!=e?this._y_sorted[e]:NaN}}r.StepInterpolator=n,n.__name__=\"StepInterpolator\",n.init_StepInterpolator()},\n",
+       "      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(121);class s extends a.ContinuousScale{constructor(t){super(t)}compute(t){const[e,o,a,s]=this._compute_state();let n;if(0==a)n=0;else{const r=(Math.log(t)-s)/a;n=isFinite(r)?r*e+o:NaN}return n}v_compute(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);if(0==a)for(let e=0;e<t.length;e++)n[e]=0;else for(let r=0;r<t.length;r++){const l=(Math.log(t[r])-s)/a;let c;c=isFinite(l)?l*e+o:NaN,n[r]=c}return n}invert(t){const[e,o,a,s]=this._compute_state(),n=(t-o)/e;return Math.exp(a*n+s)}v_invert(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);for(let r=0;r<t.length;r++){const l=(t[r]-o)/e;n[r]=Math.exp(a*l+s)}return n}_get_safe_factor(t,e){let o=t<0?0:t,a=e<0?0:e;if(o==a)if(0==o)[o,a]=[1,10];else{const t=Math.log(o)/Math.log(10);o=10**Math.floor(t),a=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[o,a]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,o=this.target_range.start,a=this.target_range.end-o,[s,n]=this._get_safe_factor(t,e);let r,l;return 0==s?(r=Math.log(n),l=0):(r=Math.log(n)-Math.log(s),l=Math.log(s)),[a,o,r,l]}}o.LogScale=s,s.__name__=\"LogScale\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(91),r=i.__importStar(t(18));class a extends n.Range{constructor(t){super(t)}static init_Range1d(){this.define({start:[r.Number,0],end:[r.Number,1],reset_start:[r.Number],reset_end:[r.Number]})}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this.reset_start,this.reset_end),e=Math.max(this.reset_start,this.reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),null==this.reset_start&&(this.reset_start=this.start),null==this.reset_end&&(this.reset_end=this.end),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds(),this.start!=this.reset_start||this.end!=this.reset_end?this.setv({start:this.reset_start,end:this.reset_end}):this.change.emit()}}s.Range1d=a,a.__name__=\"Range1d\",a.init_Range1d()},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=t(68),i=new Map;n.measure_font=function(t){const e=i.get(t);if(null!=e)return e;const n=o.span({style:{font:t}},\"Hg\"),l=o.div({style:{display:\"inline-block\",width:\"1px\",height:\"0px\"}}),s=o.div({},n,l);document.body.appendChild(s);try{l.style.verticalAlign=\"baseline\";const e=o.offset(l).top-o.offset(n).top;l.style.verticalAlign=\"bottom\";const d=o.offset(l).top-o.offset(n).top,c={height:d,ascent:e,descent:d-e};return i.set(t,c),c}finally{document.body.removeChild(s)}};const l=new Map;n.measure_text=function(t,e){let n=l.get(e);if(null!=n){const e=n.get(t);if(null!=e)return e}else n=new Map,l.set(e,n);const i=o.div({style:{display:\"inline-block\",\"white-space\":\"nowrap\",font:e}},t);document.body.appendChild(i);try{const{width:e,height:o}=i.getBoundingClientRect();return n.set(t,{width:e,height:o}),{width:e,height:o}}finally{document.body.removeChild(i)}}},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(134),l=e(68),n=s.__importStar(e(23)),o=s.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.warm_cache()}_get_size(){const{ctx:e}=this.layer;this.visuals.text.set_value(e);const{width:t,ascent:i}=e.measureText(this.model.text);return{width:t,height:i}}render(){if(this.model.visible||\"css\"!=this.model.render_mode||l.undisplay(this.el),!this.model.visible)return;let e;switch(this.model.angle_units){case\"rad\":e=-this.model.angle;break;case\"deg\":e=-this.model.angle*Math.PI/180}const t=null!=this.panel?this.panel:this.plot_view.frame,i=this.plot_view.frame.xscales[this.model.x_range_name],s=this.plot_view.frame.yscales[this.model.y_range_name];let a=\"data\"==this.model.x_units?i.compute(this.model.x):t.xview.compute(this.model.x),n=\"data\"==this.model.y_units?s.compute(this.model.y):t.yview.compute(this.model.y);a+=this.model.x_offset,n-=this.model.y_offset,(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,a,n,e)}}i.LabelView=_,_.__name__=\"LabelView\";class r extends a.TextAnnotation{constructor(e){super(e)}static init_Label(){this.prototype.default_view=_,this.mixins([n.Text,[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({x:[o.Number],x_units:[o.SpatialUnits,\"data\"],y:[o.Number],y_units:[o.SpatialUnits,\"data\"],text:[o.String],angle:[o.Angle,0],angle_units:[o.AngleUnits,\"rad\"],x_offset:[o.Number,0],y_offset:[o.Number,0],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}i.Label=r,r.__name__=\"Label\",r.init_Label()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=e(31),a=e(68),n=i.__importStar(e(18)),o=e(132),r=e(11);class _ extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&this.plot_view.canvas_view.add_overlay(this.el)}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,()=>this.render()):this.connect(this.model.change,()=>this.plot_view.request_render())}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=o.measure_font(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let l,a;switch(e.textAlign){case\"left\":l=0;break;case\"center\":l=-s/2;break;case\"right\":l=-s;break;default:r.unreachable()}switch(e.textBaseline){case\"top\":a=0;break;case\"middle\":a=-.5*i;break;case\"bottom\":a=-1*i;break;case\"alphabetic\":a=-.8*i;break;case\"hanging\":a=-.17*i;break;case\"ideographic\":a=-.83*i;break;default:r.unreachable()}return[l,a,s,i]}_canvas_text(e,t,s,i,l){this.visuals.text.set_value(e);const a=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),l&&e.rotate(l),e.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,l){a.undisplay(this.el),this.visuals.text.set_value(e);const n=this._calculate_bounding_box_dimensions(e,t),o=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_value(e),this.visuals.background_fill.set_value(e),this.el.style.position=\"absolute\",this.el.style.left=s+n[0]+\"px\",this.el.style.top=i+n[1]+\"px\",this.el.style.color=\"\"+this.visuals.text.text_color.value(),this.el.style.opacity=\"\"+this.visuals.text.text_alpha.value(),this.el.style.font=\"\"+this.visuals.text.font_value(),this.el.style.lineHeight=\"normal\",l&&(this.el.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(this.el.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(this.el.style.borderStyle=\"\"+o,this.el.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",this.el.style.borderColor=\"\"+this.visuals.border_line.color_value()),this.el.textContent=t,a.display(this.el)}}s.TextAnnotationView=_,_.__name__=\"TextAnnotationView\";class h extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define({render_mode:[n.RenderMode,\"canvas\"]})}}s.TextAnnotation=h,h.__name__=\"TextAnnotation\",h.init_TextAnnotation()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(134),o=t(76),a=i.__importStar(t(23)),n=t(68),r=i.__importStar(t(18));class _ extends l.TextAnnotationView{initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this._text.length;t<e;t++){const t=n.div({style:{display:\"none\"}});this.el.appendChild(t)}}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.render()})):(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}))}set_data(t){super.set_data(t),this.visuals.warm_cache(t)}_map_data(){const t=this.plot_view.frame.xscales[this.model.x_range_name],e=this.plot_view.frame.yscales[this.model.y_range_name],s=null!=this.panel?this.panel:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.yview.v_compute(this._y)]}render(){if(this.model.visible||\"css\"!=this.model.render_mode||n.undisplay(this.el),!this.model.visible)return;const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer,[s,i]=this._map_data();for(let l=0,o=this._text.length;l<o;l++)t(e,l,this._text[l],s[l]+this._x_offset[l],i[l]-this._y_offset[l],this._angle[l])}_get_size(){const{ctx:t}=this.layer;this.visuals.text.set_value(t);const{width:e,ascent:s}=t.measureText(this._text[0]);return{width:e,height:s}}_v_canvas_text(t,e,s,i,l,o){this.visuals.text.set_vectorize(t,e);const a=this._calculate_bounding_box_dimensions(t,s);t.save(),t.beginPath(),t.translate(i,l),t.rotate(o),t.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),t.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),t.stroke()),this.visuals.text.doit&&(this.visuals.text.set_vectorize(t,e),t.fillText(s,0,0)),t.restore()}_v_css_text(t,e,s,i,l,o){const a=this.el.children[e];a.textContent=s,this.visuals.text.set_vectorize(t,e);const r=this._calculate_bounding_box_dimensions(t,s),_=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_vectorize(t,e),this.visuals.background_fill.set_vectorize(t,e),a.style.position=\"absolute\",a.style.left=i+r[0]+\"px\",a.style.top=l+r[1]+\"px\",a.style.color=\"\"+this.visuals.text.text_color.value(),a.style.opacity=\"\"+this.visuals.text.text_alpha.value(),a.style.font=\"\"+this.visuals.text.font_value(),a.style.lineHeight=\"normal\",o&&(a.style.transform=`rotate(${o}rad)`),this.visuals.background_fill.doit&&(a.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(a.style.borderStyle=\"\"+_,a.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",a.style.borderColor=\"\"+this.visuals.border_line.color_value()),n.display(a)}}s.LabelSetView=_,_.__name__=\"LabelSetView\";class h extends l.TextAnnotation{constructor(t){super(t)}static init_LabelSet(){this.prototype.default_view=_,this.mixins([a.TextVector,[\"border_\",a.LineVector],[\"background_\",a.FillVector]]),this.define({x:[r.NumberSpec],y:[r.NumberSpec],x_units:[r.SpatialUnits,\"data\"],y_units:[r.SpatialUnits,\"data\"],text:[r.StringSpec,{field:\"text\"}],angle:[r.AngleSpec,0],x_offset:[r.NumberSpec,{value:0}],y_offset:[r.NumberSpec,{value:0}],source:[r.Instance,()=>new o.ColumnDataSource],x_range_name:[r.String,\"default\"],y_range_name:[r.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=h,h.__name__=\"LabelSet\",h.init_LabelSet()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(31),n=s.__importStar(t(23)),h=s.__importStar(t(18)),a=t(14),o=t(132),_=t(88),r=t(9),d=t(8),c=t(11);class g extends l.AnnotationView{cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.visuals.border_line.line_color.value()?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.item_change,()=>this.plot_view.request_render())}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:s,label_width:l}=this.model;this.max_label_height=r.max([o.measure_font(this.visuals.label_text.font_value()).height,s,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,r.max([n.measureText(e).width,l]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?o.measure_font(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const h=Math.max(r.max([...this.text_widths.values()]),0),a=this.model.margin,{legend_padding:g}=this,m=this.model.spacing,{label_standoff:b}=this.model;let u,f;if(\"vertical\"==this.model.orientation)u=t.length*this.max_label_height+Math.max(t.length-1,0)*m+2*g+this.title_height,f=r.max([h+i+b+2*g,this.title_width+2*g]);else{let e=2*g+Math.max(t.length-1,0)*m;for(const[,t]of this.text_widths)e+=r.max([t,l])+i+b;f=r.max([this.title_width+2*g,e]),u=this.max_label_height+this.title_height+2*g}const x=null!=this.panel?this.panel:this.plot_view.frame,[p,v]=x.bbox.ranges,{location:w}=this.model;let y,k;if(d.isString(w))switch(w){case\"top_left\":y=p.start+a,k=v.start+a;break;case\"top_center\":y=(p.end+p.start)/2-f/2,k=v.start+a;break;case\"top_right\":y=p.end-a-f,k=v.start+a;break;case\"bottom_right\":y=p.end-a-f,k=v.end-a-u;break;case\"bottom_center\":y=(p.end+p.start)/2-f/2,k=v.end-a-u;break;case\"bottom_left\":y=p.start+a,k=v.end-a-u;break;case\"center_left\":y=p.start+a,k=(v.end+v.start)/2-u/2;break;case\"center\":y=(p.end+p.start)/2-f/2,k=(v.end+v.start)/2-u/2;break;case\"center_right\":y=p.end-a-f,k=(v.end+v.start)/2-u/2}else if(d.isArray(w)&&2==w.length){const[t,e]=w;y=x.xview.compute(t),k=x.yview.compute(e)-u}else c.unreachable();return new _.BBox({left:y,top:k,width:f,height:u})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=i=l;const o=this.compute_legend_bbox(),r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop();for(const g of c){const c=o.x+a,m=o.y+i+this.title_height;let b,u;if([b,u]=r?[o.width-2*l,this.max_label_height]:[this.text_widths.get(g)+s+h,this.max_label_height],new _.BBox({left:c,top:m,width:b,height:u}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of d.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of d.renderers)t.muted=!t.muted}return!0}r?i+=this.max_label_height+n:a+=this.text_widths.get(g)+s+h+n}}return!1}render(){if(!this.model.visible)return;if(0==this.model.items.length)return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this.model.title&&this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=l,o=l;const _=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop(),g=d.get_field_from_label_prop();if(0==c.length)continue;const m=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return r.every(d.renderers,t=>t.visible);case\"mute\":return r.every(d.renderers,t=>!t.muted)}})();for(const r of c){const c=e.x+a,b=e.y+o+this.title_height,u=c+i,f=b+s;_?o+=this.max_label_height+n:a+=this.text_widths.get(r)+i+h+n,this.visuals.label_text.set_value(t),t.fillText(r,u+h,b+this.max_label_height/2);for(const e of d.renderers){this.plot_view.renderer_views.get(e).draw_legend(t,c,u,b,f,g,r,d.index)}if(!m){let s,n;[s,n]=_?[e.width-2*l,this.max_label_height]:[this.text_widths.get(r)+i+h,this.max_label_height],t.beginPath(),t.rect(c,b,s,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(this.model.title,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=g,g.__name__=\"LegendView\";class m extends l.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new a.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=g,this.mixins([[\"label_\",n.Text],[\"title_\",n.Text],[\"inactive_\",n.Fill],[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({orientation:[h.Orientation,\"vertical\"],location:[h.Any,\"top_right\"],title:[h.String],title_standoff:[h.Number,5],label_standoff:[h.Number,5],glyph_height:[h.Number,20],glyph_width:[h.Number,20],label_height:[h.Number,20],label_width:[h.Number,20],margin:[h.Number,10],padding:[h.Number,10],spacing:[h.Number,3],items:[h.Array,[]],click_policy:[h.Any,\"none\"]}),this.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=m,m.__name__=\"Legend\",m.init_Legend()},\n",
+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),l=e(71),i=e(77),s=e(138),_=t.__importStar(e(18)),o=e(72),a=e(9);class u extends l.Model{constructor(e){super(e)}static init_LegendItem(){this.define({label:[_.StringSpec,null],renderers:[_.Array,[]],index:[_.Number,null]})}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!a.includes(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,()=>{null!=this.legend&&this.legend.item_change.emit()}),this._check_data_sources_on_renderers()||o.logger.error(\"Non matching data sources on legend item renderers\"),this._check_field_label_on_data_source()||o.logger.error(\"Bad column name on label: \"+this.label)}get_field_from_label_prop(){const{label:e}=this;return s.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(s.isValue(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof i.ColumnarDataSource){const n=r.get_column(e);return null!=n?a.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=u,u.__name__=\"LegendItem\",u.init_LegendItem()},\n",
+       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(8);n.isValue=function(e){return t.isPlainObject(e)&&\"value\"in e},n.isField=function(e){return t.isPlainObject(e)&&\"field\"in e}},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(31),l=n.__importStar(t(23)),o=t(14),a=n.__importStar(t(18));class r extends s.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render())}render(){if(!this.model.visible)return;const{xs:t,ys:e}=this.model;if(t.length!=e.length)return;if(t.length<3||e.length<3)return;const{frame:i}=this.plot_view,{ctx:n}=this.layer;for(let s=0,l=t.length;s<l;s++){let l,o;if(\"screen\"!=this.model.xs_units)throw new Error(\"not implemented\");if(l=this.model.screen?t[s]:i.xview.compute(t[s]),\"screen\"!=this.model.ys_units)throw new Error(\"not implemented\");o=this.model.screen?e[s]:i.yview.compute(e[s]),0==s?(n.beginPath(),n.moveTo(l,o)):n.lineTo(l,o)}n.closePath(),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill())}}i.PolyAnnotationView=r,r.__name__=\"PolyAnnotationView\";class _ extends s.Annotation{constructor(t){super(t)}static init_PolyAnnotation(){this.prototype.default_view=r,this.mixins([l.Line,l.Fill]),this.define({xs:[a.Array,[]],xs_units:[a.SpatialUnits,\"data\"],ys:[a.Array,[]],ys_units:[a.SpatialUnits,\"data\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.internal({screen:[a.Boolean,!1]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({xs:t,ys:e}){this.setv({xs:t,ys:e,screen:!0},{silent:!0}),this.data_update.emit()}}i.PolyAnnotation=_,_.__name__=\"PolyAnnotation\",_.init_PolyAnnotation()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(31),l=n.__importStar(e(23)),o=n.__importStar(e(18));class r extends s.AnnotationView{initialize(){super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render())}render(){this.model.visible&&this._draw_slope()}_draw_slope(){const e=this.model.gradient,t=this.model.y_intercept;if(null==e||null==t)return;const{frame:i}=this.plot_view,n=i.xscales[this.model.x_range_name],s=i.yscales[this.model.y_range_name],l=i._top.value,o=l+i._height.value,r=(s.invert(l)-t)/e,a=(s.invert(o)-t)/e,_=n.compute(r),c=n.compute(a),{ctx:u}=this.layer;u.save(),u.beginPath(),this.visuals.line.set_value(u),u.moveTo(_,l),u.lineTo(c,o),u.stroke(),u.restore()}}i.SlopeView=r,r.__name__=\"SlopeView\";class a extends s.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=r,this.mixins(l.Line),this.define({gradient:[o.Number,null],y_intercept:[o.Number,null],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({line_color:\"black\"})}}i.Slope=a,a.__name__=\"Slope\",a.init_Slope()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),o=e(31),s=n.__importStar(e(23)),a=n.__importStar(e(18));class l extends o.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],n=t.yscales[this.model.y_range_name],o=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,a,l,r;\"width\"==this.model.dimension?(l=o(n,t.yview),a=t._left.value,r=t._width.value,s=this.model.properties.line_width.value()):(l=t._top.value,a=o(i,t.xview),r=this.model.properties.line_width.value(),s=t._height.value);const{ctx:_}=this.layer;_.save(),_.beginPath(),this.visuals.line.set_value(_),_.moveTo(a,l),\"width\"==this.model.dimension?_.lineTo(a+r,l):_.lineTo(a,l+s),_.stroke(),_.restore()}}i.SpanView=l,l.__name__=\"SpanView\";class r extends o.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=l,this.mixins(s.Line),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],location:[a.Number,null],location_units:[a.SpatialUnits,\"data\"],dimension:[a.Dimension,\"width\"]}),this.override({line_color:\"black\"}),this.internal({for_hover:[a.Boolean,!1]})}}i.Span=r,r.__name__=\"Span\",r.init_Span()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1),a=e(134),s=e(68),n=e(70),o=l.__importStar(e(23)),r=l.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.text=new n.Text(this.model)}_get_location(){const e=this.panel,t=this.model.offset;let i,l;switch(e.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":l=e._top.value+5;break;case\"middle\":l=e._vcenter.value;break;case\"bottom\":l=e._bottom.value-5}switch(this.model.align){case\"left\":i=e._left.value+t;break;case\"center\":i=e._hcenter.value;break;case\"right\":i=e._right.value-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=e._left.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._right.value+5}switch(this.model.align){case\"left\":l=e._bottom.value-t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._top.value+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=e._right.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._left.value+5}switch(this.model.align){case\"left\":l=e._top.value+t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._bottom.value-t}}return[i,l]}render(){if(!this.model.visible)return void(\"css\"==this.model.render_mode&&s.undisplay(this.el));const{text:e}=this.model;if(null==e||0==e.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[t,i]=this._get_location(),l=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,e,t,i,l)}_get_size(){const{text:e}=this.model;if(null==e||0==e.length)return{width:0,height:0};{this.visuals.text.set_value(this.layer.ctx);const{width:t,ascent:i}=this.layer.ctx.measureText(e);return{width:t,height:i*this.visuals.text.text_line_height.value()+10}}}}i.TitleView=_,_.__name__=\"TitleView\";class c extends a.TextAnnotation{constructor(e){super(e)}static init_Title(){this.prototype.default_view=_,this.mixins([[\"border_\",o.Line],[\"background_\",o.Fill]]),this.define({text:[r.String],text_font:[r.Font,\"helvetica\"],text_font_size:[r.StringSpec,\"13px\"],text_font_style:[r.FontStyle,\"bold\"],text_color:[r.ColorSpec,\"#444444\"],text_alpha:[r.NumberSpec,1],text_line_height:[r.Number,1],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[r.Number,0]}),this.override({background_fill_color:null,border_line_color:null}),this.internal({text_align:[r.TextAlign,\"left\"],text_baseline:[r.TextBaseline,\"bottom\"]})}}i.Title=c,c.__name__=\"Title\",c.init_Title()},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(31),s=e(99),a=e(68),n=o.__importStar(e(18));class r extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){this._toolbar_view=await s.build_view(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push(e=>this._toolbar_view.set_visibility(e))}remove(){this._toolbar_view.remove(),super.remove()}render(){super.render(),this.model.visible?(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",a.position(this.el,this.panel.bbox),this._toolbar_view.render(),a.empty(this.el),this.el.appendChild(this._toolbar_view.el),a.display(this.el)):a.undisplay(this.el)}_get_size(){const{tools:e,logo:i}=this.model.toolbar;return{width:30*e.length+(null!=i?25:0),height:30}}}t.ToolbarPanelView=r,r.__name__=\"ToolbarPanelView\";class _ extends l.Annotation{constructor(e){super(e)}static init_ToolbarPanel(){this.prototype.default_view=r,this.define({toolbar:[n.Instance]})}}t.ToolbarPanel=_,_.__name__=\"ToolbarPanel\",_.init_ToolbarPanel()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(31),o=t(68),a=i.__importStar(t(18)),h=t(145),n=t(146),r=i.__importDefault(t(147));function c(t,e,s,i,l){switch(t){case\"horizontal\":return e<i?\"right\":\"left\";case\"vertical\":return s<l?\"below\":\"above\";default:return t}}s.compute_side=c;class d extends l.AnnotationView{initialize(){super.initialize(),this.plot_view.canvas_view.add_overlay(this.el),o.undisplay(this.el)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>this._draw_tips())}styles(){return[...super.styles(),r.default]}css_classes(){return super.css_classes().concat(h.bk_tooltip)}render(){this.model.visible&&this._draw_tips()}_draw_tips(){const{data:t}=this.model;if(o.empty(this.el),o.undisplay(this.el),this.model.custom?this.el.classList.add(h.bk_tooltip_custom):this.el.classList.remove(h.bk_tooltip_custom),0==t.length)return;const{frame:e}=this.plot_view;for(const[s,i,l]of t){if(this.model.inner_only&&!e.bbox.contains(s,i))continue;const t=o.div({},l);this.el.appendChild(t)}const[s,i]=t[t.length-1],l=c(this.model.attachment,s,i,e._hcenter.value,e._vcenter.value);this.el.classList.remove(n.bk_right),this.el.classList.remove(n.bk_left),this.el.classList.remove(n.bk_above),this.el.classList.remove(n.bk_below);let a;o.display(this.el);let r=0,d=0;switch(l){case\"right\":this.el.classList.add(n.bk_left),r=s+(this.el.offsetWidth-this.el.clientWidth)+10,a=i-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(n.bk_right),d=this.plot_view.layout.bbox.width-s+10,a=i-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(n.bk_above),a=i+(this.el.offsetHeight-this.el.clientHeight)+10,r=Math.round(s-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(n.bk_below),a=i-this.el.offsetHeight-10,r=Math.round(s-this.el.offsetWidth/2)}this.model.show_arrow&&this.el.classList.add(h.bk_tooltip_arrow),this.el.childNodes.length>0?(this.el.style.top=a+\"px\",this.el.style.left=r?r+\"px\":\"auto\",this.el.style.right=d?d+\"px\":\"auto\"):o.undisplay(this.el)}}s.TooltipView=d,d.__name__=\"TooltipView\";class _ extends l.Annotation{constructor(t){super(t)}static init_Tooltip(){this.prototype.default_view=d,this.define({attachment:[a.TooltipAttachment,\"horizontal\"],inner_only:[a.Boolean,!0],show_arrow:[a.Boolean,!0]}),this.override({level:\"overlay\"}),this.internal({data:[a.Any,[]],custom:[a.Any]})}clear(){this.data=[]}add(t,e,s){this.data=this.data.concat([[t,e,s]])}}s.Tooltip=_,_.__name__=\"Tooltip\",_.init_Tooltip()},\n",
+       "      function _(o,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tooltip=\"bk-tooltip\",l.bk_tooltip_arrow=\"bk-tooltip-arrow\",l.bk_tooltip_custom=\"bk-tooltip-custom\",l.bk_tooltip_row_label=\"bk-tooltip-row-label\",l.bk_tooltip_row_value=\"bk-tooltip-row-value\",l.bk_tooltip_color_block=\"bk-tooltip-color-block\"},\n",
+       "      function _(e,b,k){Object.defineProperty(k,\"__esModule\",{value:!0}),k.bk_active=\"bk-active\",k.bk_inline=\"bk-inline\",k.bk_left=\"bk-left\",k.bk_right=\"bk-right\",k.bk_above=\"bk-above\",k.bk_below=\"bk-below\",k.bk_up=\"bk-up\",k.bk_down=\"bk-down\",k.bk_side=function(e){switch(e){case\"above\":return k.bk_above;case\"below\":return k.bk_below;case\"left\":return k.bk_left;case\"right\":return k.bk_right}}},\n",
+       "      function _(o,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root {\\n  /* Same border color used everywhere */\\n  /* Gray of icons */\\n}\\n.bk-root .bk-tooltip {\\n  font-weight: 300;\\n  font-size: 12px;\\n  position: absolute;\\n  padding: 5px;\\n  border: 1px solid #e5e5e5;\\n  color: #2f2f2f;\\n  background-color: white;\\n  pointer-events: none;\\n  opacity: 0.95;\\n  z-index: 100;\\n}\\n.bk-root .bk-tooltip > div:not(:first-child) {\\n  /* gives space when multiple elements are being hovered over */\\n  margin-top: 5px;\\n  border-top: #e5e5e5 1px dashed;\\n}\\n.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-left::before {\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right::after {\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-above::before {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  top: -10px;\\n  border-bottom-width: 10px;\\n  border-bottom-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-below::after {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  bottom: -10px;\\n  border-top-width: 10px;\\n  border-top-color: #909599;\\n}\\n.bk-root .bk-tooltip-row-label {\\n  text-align: right;\\n  color: #26aae1;\\n  /* blue from toolbar highlighting */\\n}\\n.bk-root .bk-tooltip-row-value {\\n  color: default;\\n  /* seems to be necessary for notebook */\\n}\\n.bk-root .bk-tooltip-color-block {\\n  width: 12px;\\n  height: 12px;\\n  margin-left: 5px;\\n  margin-right: 5px;\\n  outline: #dddddd solid 1px;\\n  display: inline-block;\\n}\\n'},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(31),o=e(76),a=e(75),n=e(23),h=i.__importStar(e(18));class _ extends r.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],r=\"height\"==t?i:s,o=\"height\"==t?s:i,a=\"height\"==t?e.yview:e.xview,n=\"height\"==t?e.xview:e.yview;let h,_,l;h=\"data\"==this.model.properties.lower.units?r.v_compute(this._lower):a.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?r.v_compute(this._upper):a.v_compute(this._upper),l=\"data\"==this.model.properties.base.units?o.v_compute(this._base):n.v_compute(this._base);const[d,p]=\"height\"==t?[1,0]:[0,1],c=[h,l],u=[_,l];this._lower_sx=c[d],this._lower_sy=c[p],this._upper_sx=u[d],this._upper_sy=u[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;t<s;t++)this.visuals.line.set_vectorize(e,t),e.beginPath(),e.moveTo(this._lower_sx[t],this._lower_sy[t]),e.lineTo(this._upper_sx[t],this._upper_sy[t]),e.stroke();const t=\"height\"==this.model.dimension?0:Math.PI/2;if(null!=this.model.lower_head)for(let s=0,i=this._lower_sx.length;s<i;s++)e.save(),e.translate(this._lower_sx[s],this._lower_sy[s]),e.rotate(t+Math.PI),this.model.lower_head.render(e,s),e.restore();if(null!=this.model.upper_head)for(let s=0,i=this._upper_sx.length;s<i;s++)e.save(),e.translate(this._upper_sx[s],this._upper_sy[s]),e.rotate(t),this.model.upper_head.render(e,s),e.restore()}}s.WhiskerView=_,_.__name__=\"WhiskerView\";class l extends r.Annotation{constructor(e){super(e)}static init_Whisker(){this.prototype.default_view=_,this.mixins(n.LineVector),this.define({lower:[h.DistanceSpec],lower_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],upper:[h.DistanceSpec],upper_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],base:[h.DistanceSpec],dimension:[h.Dimension,\"height\"],source:[h.Instance,()=>new o.ColumnDataSource],x_range_name:[h.String,\"default\"],y_range_name:[h.String,\"default\"]}),this.override({level:\"underlay\"})}}s.Whisker=l,l.__name__=\"Whisker\",l.init_Whisker()},\n",
+       "      function _(i,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});var r=i(150);e.Axis=r.Axis;var s=i(152);e.CategoricalAxis=s.CategoricalAxis;var x=i(155);e.ContinuousAxis=x.ContinuousAxis;var A=i(156);e.DatetimeAxis=A.DatetimeAxis;var o=i(157);e.LinearAxis=o.LinearAxis;var t=i(170);e.LogAxis=t.LogAxis;var n=i(173);e.MercatorAxis=n.MercatorAxis},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(151),l=s.__importStar(e(23)),n=s.__importStar(e(18)),o=e(9),r=e(8),_=e(90),{abs:h,min:c,max:m}=Math;class d extends a.GuideRendererView{constructor(){super(...arguments),this.rotate=!0}get panel(){return this.layout}render(){if(!this.model.visible)return;const e={tick:this._tick_extent(),tick_label:this._tick_label_extents(),axis_label:this._axis_label_extent()},t=this.tick_coords,i=this.layer.ctx;i.save(),this._draw_rule(i,e),this._draw_major_ticks(i,e,t),this._draw_minor_ticks(i,e,t),this._draw_major_labels(i,e,t),this._draw_axis_label(i,e,t),null!=this._render&&this._render(i,e,t),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint());const e=this.model.properties;this.on_change(e.visible,()=>this.plot_view.request_layout())}get_size(){if(this.model.visible&&null==this.model.fixed_location){const e=this._get_size();return{width:0,height:Math.round(e)}}return{width:0,height:0}}_get_size(){return this._tick_extent()+this._tick_label_extent()+this._axis_label_extent()}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(e,t){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,l]=this.plot_view.map_to_screen(i,s,this.model.x_range_name,this.model.y_range_name),[n,o]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(e),e.beginPath(),e.moveTo(Math.round(a[0]+n*r),Math.round(l[0]+o*_));for(let t=1;t<a.length;t++){const i=Math.round(a[t]+n*r),s=Math.round(l[t]+o*_);e.lineTo(i,s)}e.stroke()}_draw_major_ticks(e,t,i){const s=this.model.major_tick_in,a=this.model.major_tick_out,l=this.visuals.major_tick_line;this._draw_ticks(e,i.major,s,a,l)}_draw_minor_ticks(e,t,i){const s=this.model.minor_tick_in,a=this.model.minor_tick_out,l=this.visuals.minor_tick_line;this._draw_ticks(e,i.minor,s,a,l)}_draw_major_labels(e,t,i){const s=i.major,a=this.compute_labels(s[this.dimension]),l=this.model.major_label_orientation,n=t.tick+this.model.major_label_standoff,o=this.visuals.major_label_text;this._draw_oriented_labels(e,a,s,l,this.panel.side,n,o)}_draw_axis_label(e,t,i){if(null==this.model.axis_label||0==this.model.axis_label.length||null!=this.model.fixed_location)return;let s,a;switch(this.panel.side){case\"above\":s=this.panel._hcenter.value,a=this.panel._bottom.value;break;case\"below\":s=this.panel._hcenter.value,a=this.panel._top.value;break;case\"left\":s=this.panel._right.value,a=this.panel._vcenter.value;break;case\"right\":s=this.panel._left.value,a=this.panel._vcenter.value;break;default:throw new Error(\"unknown side: \"+this.panel.side)}const l=[[s],[a]],n=t.tick+o.sum(t.tick_label)+this.model.axis_label_standoff,r=this.visuals.axis_label_text;this._draw_oriented_labels(e,[this.model.axis_label],l,\"parallel\",this.panel.side,n,r,\"screen\")}_draw_ticks(e,t,i,s,a){if(!a.doit)return;const[l,n]=t,[o,r]=this.plot_view.map_to_screen(l,n,this.model.x_range_name,this.model.y_range_name),[_,h]=this.normals,[c,m]=this.offsets,[d,u]=[_*(c-i),h*(m-i)],[b,x]=[_*(c+s),h*(m+s)];a.set_value(e);for(let t=0;t<o.length;t++){const i=Math.round(o[t]+b),s=Math.round(r[t]+x),a=Math.round(o[t]+d),l=Math.round(r[t]+u);e.beginPath(),e.moveTo(i,s),e.lineTo(a,l),e.stroke()}}_draw_oriented_labels(e,t,i,s,a,l,n,o=\"data\"){if(!n.doit||0==t.length)return;let _,h,c,m;if(\"screen\"==o)[_,h]=i,[c,m]=[0,0];else{const[e,t]=i;[_,h]=this.plot_view.map_to_screen(e,t,this.model.x_range_name,this.model.y_range_name),[c,m]=this.offsets}const[d,u]=this.normals,b=d*(c+l),x=u*(m+l);let f;n.set_value(e),this.panel.apply_label_text_heuristics(e,s),f=r.isString(s)?this.panel.get_label_angle_heuristic(s):-s;for(let i=0;i<_.length;i++){const s=Math.round(_[i]+b),a=Math.round(h[i]+x);e.translate(s,a),e.rotate(f),e.fillText(t[i],0,0),e.rotate(-f),e.translate(-s,-a)}}_axis_label_extent(){if(null==this.model.axis_label||\"\"==this.model.axis_label)return 0;const e=this.model.axis_label_standoff,t=this.visuals.axis_label_text;return this._oriented_labels_extent([this.model.axis_label],\"parallel\",this.panel.side,e,t)}_tick_extent(){return this.model.major_tick_out}_tick_label_extent(){return o.sum(this._tick_label_extents())}_tick_label_extents(){const e=this.tick_coords.major,t=this.compute_labels(e[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(t,i,this.panel.side,s,a)]}_oriented_labels_extent(e,t,i,s,a){if(0==e.length)return 0;const l=this.layer.ctx;let n,o;a.set_value(l),r.isString(t)?(n=1,o=this.panel.get_label_angle_heuristic(t)):(n=2,o=-t),o=Math.abs(o);const _=Math.cos(o),h=Math.sin(o);let c=0;for(let t=0;t<e.length;t++){const s=1.1*l.measureText(e[t]).width,a=.9*l.measureText(e[t]).ascent;let o;o=\"above\"==i||\"below\"==i?s*h+a/n*_:s*_+a/n*h,o>c&&(c=o)}return c>0&&(c+=s),c}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(e){const t=this.model.formatter.doFormat(e,this);for(let i=0;i<e.length;i++)e[i]in this.model.major_label_overrides&&(t[i]=this.model.major_label_overrides[e[i]]);return t}get offsets(){if(null!=this.model.fixed_location)return[0,0];const{frame:e}=this.plot_view;let[t,i]=[0,0];switch(this.panel.side){case\"below\":i=h(this.panel._top.value-e._bottom.value);break;case\"above\":i=h(this.panel._bottom.value-e._top.value);break;case\"right\":t=h(this.panel._left.value-e._right.value);break;case\"left\":t=h(this.panel._right.value-e._left.value)}return[t,i]}get ranges(){const e=this.dimension,t=(e+1)%2,{frame:i}=this.plot_view,s=[i.x_ranges[this.model.x_range_name],i.y_ranges[this.model.y_range_name]];return[s[e],s[t]]}get computed_bounds(){const[e]=this.ranges,t=this.model.bounds,i=[e.min,e.max];if(\"auto\"==t)return[e.min,e.max];if(r.isArray(t)){let e,s;const[a,l]=t,[n,o]=i;return h(a-l)>h(n-o)?(e=m(c(a,l),n),s=c(m(a,l),o)):(e=c(a,l),s=m(a,l)),[e,s]}throw new Error(`user bounds '${t}' not understood`)}get rule_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=[new Array(2),new Array(2)];return l[e][0]=Math.max(s,i.min),l[e][1]=Math.min(a,i.max),l[e][0]>l[e][1]&&(l[e][0]=l[e][1]=NaN),l[t][0]=this.loc,l[t][1]=this.loc,l}get tick_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=this.model.ticker.get_ticks(s,a,i,this.loc,{}),n=l.major,o=l.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;i<n.length;i++)n[i]<h||n[i]>c||(r[e].push(n[i]),r[t].push(this.loc));for(let i=0;i<o.length;i++)o[i]<h||o[i]>c||(_[e].push(o[i]),_[t].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:e}=this.model;if(null!=e){if(r.isNumber(e))return e;const[,t]=this.ranges;if(t instanceof _.FactorRange)return t.synthetic(e);throw new Error(\"unexpected\")}const[,t]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return t.start;case\"right\":case\"above\":return t.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}}i.AxisView=d,d.__name__=\"AxisView\";class u extends a.GuideRenderer{constructor(e){super(e)}static init_Axis(){this.prototype.default_view=d,this.mixins([[\"axis_\",l.Line],[\"major_tick_\",l.Line],[\"minor_tick_\",l.Line],[\"major_label_\",l.Text],[\"axis_label_\",l.Text]]),this.define({bounds:[n.Any,\"auto\"],ticker:[n.Instance],formatter:[n.Instance],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"],axis_label:[n.String,\"\"],axis_label_standoff:[n.Int,5],major_label_standoff:[n.Int,5],major_label_orientation:[n.Any,\"horizontal\"],major_label_overrides:[n.Any,{}],major_tick_in:[n.Number,2],major_tick_out:[n.Number,6],minor_tick_in:[n.Number,0],minor_tick_out:[n.Number,4],fixed_location:[n.Any,null]}),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})}}i.Axis=u,u.__name__=\"Axis\",u.init_Axis()},\n",
+       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});const i=e(65);class n extends i.RendererView{}d.GuideRendererView=n,n.__name__=\"GuideRendererView\";class t extends i.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"guide\"})}}d.GuideRenderer=t,t.__name__=\"GuideRenderer\",t.init_GuideRenderer()},\n",
+       "      function _(t,s,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),i=t(150),r=t(153),a=t(154),l=e.__importStar(t(23)),_=e.__importStar(t(18));class n extends i.AxisView{_render(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;t<e.tops.length-1;t++){let s,o;for(let i=n;i<e.factors.length;i++)if(e.factors[i][0]==e.tops[t+1]){[s,o]=[e.factors[i-1],e.factors[i]],n=i;break}const h=(e.synthetic(s)+e.synthetic(o))/2;h>i&&h<r&&(_[a].push(h),_[l].push(this.loc))}const h=this._tick_label_extent();this._draw_ticks(t,_,-3,h-6,this.visuals.separator_line)}_draw_major_labels(t,s,o){const e=this._get_factor_info();let i=s.tick+this.model.major_label_standoff;for(let o=0;o<e.length;o++){const[r,a,l,_]=e[o];this._draw_oriented_labels(t,r,a,l,this.panel.side,i,_),i+=s.tick_label[o]}}_tick_label_extents(){const t=this._get_factor_info(),s=[];for(const[o,,e,i]of t){const t=this._oriented_labels_extent(o,e,this.panel.side,this.model.major_label_standoff,i);s.push(t)}return s}_get_factor_info(){const[t]=this.ranges,[s,o]=this.computed_bounds,e=this.loc,i=this.model.ticker.get_ticks(s,o,t,e,{}),r=this.tick_coords,a=[];if(1==t.levels){const t=i.major,s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=i.major.map(t=>t[1]),s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=i.major.map(t=>t[2]),s=this.model.formatter.doFormat(t,this),o=i.mids.map(t=>t[1]);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([o,r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc,{}),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map(t=>this.loc),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map(t=>this.loc)),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map(t=>this.loc)),a}}o.CategoricalAxisView=n,n.__name__=\"CategoricalAxisView\";class h extends i.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=n,this.mixins([[\"separator_\",l.Line],[\"group_\",l.Text],[\"subgroup_\",l.Text]]),this.define({group_label_orientation:[_.Any,\"parallel\"],subgroup_label_orientation:[_.Any,\"parallel\"]}),this.override({ticker:()=>new r.CategoricalTicker,formatter:()=>new a.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})}}o.CategoricalAxis=h,h.__name__=\"CategoricalAxis\",h.init_CategoricalAxis()},\n",
+       "      function _(t,c,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(112);class s extends o.Ticker{constructor(t){super(t)}get_ticks(t,c,e,o,s){return{major:this._collect(e.factors,e,t,c),minor:[],tops:this._collect(e.tops||[],e,t,c),mids:this._collect(e.mids||[],e,t,c)}}_collect(t,c,e,o){const s=[];for(const r of t){const t=c.synthetic(r);t>e&&t<o&&s.push(r)}return s}}e.CategoricalTicker=s,s.__name__=\"CategoricalTicker\"},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(114),c=e(9);class a extends o.TickFormatter{constructor(e){super(e)}doFormat(e,t){return c.copy(e)}}r.CategoricalTickFormatter=a,a.__name__=\"CategoricalTickFormatter\"},\n",
+       "      function _(s,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=s(150);class t extends o.Axis{constructor(s){super(s)}}n.ContinuousAxis=t,t.__name__=\"ContinuousAxis\"},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(157),a=e(158),r=e(163);class n extends s.LinearAxisView{}i.DatetimeAxisView=n,n.__name__=\"DatetimeAxisView\";class _ extends s.LinearAxis{constructor(e){super(e)}static init_DatetimeAxis(){this.prototype.default_view=n,this.override({ticker:()=>new r.DatetimeTicker,formatter:()=>new a.DatetimeTickFormatter})}}i.DatetimeAxis=_,_.__name__=\"DatetimeAxis\",_.init_DatetimeAxis()},\n",
+       "      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(150),n=e(155),r=e(113),a=e(109);class _ extends t.AxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class c extends n.ContinuousAxis{constructor(e){super(e)}static init_LinearAxis(){this.prototype.default_view=_,this.override({ticker:()=>new a.BasicTicker,formatter:()=>new r.BasicTickFormatter})}}s.LinearAxis=c,c.__name__=\"LinearAxis\",c.init_LinearAxis()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),i=r.__importDefault(t(159)),n=t(114),o=t(72),a=r.__importStar(t(18)),c=t(160),m=t(9),u=t(8);function h(t){return i.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map(t=>parseInt(t,10))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:i.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends n.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static init_DatetimeTickFormatter(){this.define({microseconds:[a.Array,[\"%fus\"]],milliseconds:[a.Array,[\"%3Nms\",\"%S.%3Ns\"]],seconds:[a.Array,[\"%Ss\"]],minsec:[a.Array,[\":%M:%S\"]],minutes:[a.Array,[\":%M\",\"%Mm\"]],hourmin:[a.Array,[\"%H:%M\"]],hours:[a.Array,[\"%Hh\",\"%H:%M\"]],days:[a.Array,[\"%m/%d\",\"%a%d\"]],months:[a.Array,[\"%m/%Y\",\"%b %Y\"]],years:[a.Array,[\"%Y\"]]})}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const t=+i.default(new Date),s=function(s){const e=s.map(s=>d(t,s).length),r=m.sort_by(m.zip(e,s),([t])=>t);return m.unzip(r)};this._width_formats={microseconds:s(this.microseconds),milliseconds:s(this.milliseconds),seconds:s(this.seconds),minsec:s(this.minsec),minutes:s(this.minutes),hourmin:s(this.hourmin),hours:s(this.hours),days:s(this.days),months:s(this.months),years:s(this.years)}}_get_resolution_str(t,s){const e=1.1*t;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return s>=60?\"minsec\":\"seconds\";case!(e<3600):return s>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(t,s){if(0==t.length)return[];const e=Math.abs(t[t.length-1]-t[0])/1e3,r=e/(t.length-1),i=this._get_resolution_str(r,e),[,[n]]=this._width_formats[i],a=[],c=l.indexOf(i),m={};for(const t of l)m[t]=0;m.seconds=5,m.minsec=4,m.minutes=4,m.hourmin=3,m.hours=3;for(const s of t){let t,e;try{e=h(s),t=d(s,n)}catch(t){o.logger.warn(\"unable to format tick for timestamp value \"+s),o.logger.warn(\" - \"+t),a.push(\"ERR\");continue}let r=!1,u=c;for(;0==e[m[l[u]]];){let n;if(u+=1,u==l.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!r){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){n=this._width_formats[l[c-1]][1][0],t=d(s,n);break}r=!0}n=this._width_formats[l[u]][1][0],t=d(s,n)}if(this.strip_leading_zeros){let s=t.replace(/^0+/g,\"\");s!=t&&isNaN(parseInt(s))&&(s=\"0\"+s),a.push(s)}else a.push(t)}return a}}e.DatetimeTickFormatter=_,_.__name__=\"DatetimeTickFormatter\",_.init_DatetimeTickFormatter()},\n",
+       "      function _(e,t,n){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new Date(Date.UTC(n,t.month,Math.abs(o++)))}while(t.day[0]<7&&r.getUTCDay()!=t.day[0]);return(r={clock:t.clock,sort:r.getTime(),rule:t,save:6e4*t.save,offset:e.offset})[r.clock]=r.sort+6e4*t.time,r.posix?r.wallclock=r[r.clock]+(e.offset+t.saved):r.posix=r[r.clock]-(e.offset+t.saved),r}function t(t,n,r){var o,a,u,i,l,s,c,f=t[t.zone],h=[],T=new Date(r).getUTCFullYear(),g=1;for(o=1,a=f.length;o<a&&!(f[o][n]<=r);o++);if((u=f[o]).rules){for(s=t[u.rules],c=T+1;c>=T-g;--c)for(o=0,a=s.length;o<a;o++)s[o].from<=c&&c<=s[o].to?h.push(e(u,s[o],c)):s[o].to<c&&1==g&&(g=c-s[o].to);for(h.sort((function(e,t){return e.sort-t.sort})),o=0,a=h.length;o<a;o++)r>=h[o][n]&&h[o][h[o].clock]>u[h[o].clock]&&(i=h[o])}return i&&((l=/^(.*)\\/(.*)$/.exec(u.format))?i.abbrev=l[i.save?2:1]:i.abbrev=u.format.replace(/%s/,i.rule.letter)),i||u}function n(e,n){return\"UTC\"==e.zone?n:(e.entry=t(e,\"posix\",n),n+e.entry.offset+e.entry.save)}function r(e,n){return\"UTC\"==e.zone?n:(e.entry=r=t(e,\"wallclock\",n),0<(o=n-r.wallclock)&&o<r.save?null:n-r.offset-r.save);var r,o}function o(e,t,o){var a,i=+(o[1]+1),s=o[2]*i,c=u.indexOf(o[3].toLowerCase());if(c>9)t+=s*l[c-10];else{if(a=new Date(n(e,t)),c<7)for(;s;)a.setUTCDate(a.getUTCDate()+i),a.getUTCDay()==c&&(s-=i);else 7==c?a.setUTCFullYear(a.getUTCFullYear()+s):8==c?a.setUTCMonth(a.getUTCMonth()+s):a.setUTCDate(a.getUTCDate()+s);null==(t=r(e,a.getTime()))&&(t=r(e,a.getTime()+864e5*i)-864e5*i)}return t}var a={clock:function(){return+new Date},zone:\"UTC\",entry:{abbrev:\"UTC\",offset:0,save:0},UTC:1,z:function(e,t,n,r){var 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e.getUTCFullYear()},y:function(e){return e.getUTCFullYear()%100},H:function(e){return e.getUTCHours()},M:function(e){return e.getUTCMinutes()},S:function(e){return e.getUTCSeconds()},e:function(e){return e.getUTCDate()},d:function(e){return e.getUTCDate()},u:function(e){return e.getUTCDay()||7},w:function(e){return e.getUTCDay()},l:function(e){return e.getUTCHours()%12||12},I:function(e){return e.getUTCHours()%12||12},k:function(e){return e.getUTCHours()},Z:function(e){return this.entry.abbrev},a:function(e){return this[this.locale].day.abbrev[e.getUTCDay()]},A:function(e){return this[this.locale].day.full[e.getUTCDay()]},h:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},b:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},B:function(e){return this[this.locale].month.full[e.getUTCMonth()]},P:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)].toLowerCase()},p:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)]},R:function(e,t){return this.convert([t,\"%H:%M\"])},T:function(e,t){return this.convert([t,\"%H:%M:%S\"])},D:function(e,t){return this.convert([t,\"%m/%d/%y\"])},F:function(e,t){return this.convert([t,\"%Y-%m-%d\"])},x:function(e,t){return this.convert([t,this[this.locale].date])},r:function(e,t){return this.convert([t,this[this.locale].time12||\"%I:%M:%S\"])},X:function(e,t){return this.convert([t,this[this.locale].time24])},c:function(e,t){return this.convert([t,this[this.locale].dateTime])},convert:function(e){if(!e.length)return\"1.0.23\";var t,a,u,l,s,c=Object.create(this),f=[];for(t=0;t<e.length;t++)if(l=e[t],Array.isArray(l))t||isNaN(l[1])?l.splice.apply(e,[t--,1].concat(l)):s=l;else if(isNaN(l)){if(\"string\"==(u=typeof 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+       "      function _(r,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=r(1),i=t.__importStar(r(161)),u=r(162),a=t.__importDefault(r(159)),f=r(24),o=r(8);function l(r,...n){return u.sprintf(r,...n)}function s(r,n,e){if(o.isNumber(r)){return l((()=>{switch(!1){case Math.floor(r)!=r:return\"%d\";case!(Math.abs(r)>.1&&Math.abs(r)<1e3):return\"%0.3f\";default:return\"%0.3e\"}})(),r)}return\"\"+r}function c(r,n,t){if(null==n)return s;if(null!=t&&r in t){const n=t[r];if(o.isString(n)){if(n in e.DEFAULT_FORMATTERS)return e.DEFAULT_FORMATTERS[n];throw new Error(`Unknown tooltip field formatter type '${n}'`)}return function(r,e,t){return n.format(r,e,t)}}return e.DEFAULT_FORMATTERS.numeral}function m(r,n,e,t){if(\"$\"==r[0]){return function(r,n){if(r in n)return n[r];throw new Error(`Unknown special variable '$${r}'`)}(r.substring(1),t)}return function(r,n,e){const t=n.get_column(r);if(null==t)return null;if(o.isNumber(e))return t[e];const i=t[e.index];if(o.isTypedArray(i)||o.isArray(i)){if(o.isArray(i[0])){return i[e.dim2][e.dim1]}return i[e.flat_index]}return i}(r.substring(1).replace(/[{}]/g,\"\"),n,e)}e.DEFAULT_FORMATTERS={numeral:(r,n,e)=>i.format(r,n),datetime:(r,n,e)=>a.default(r,n),printf:(r,n,e)=>l(n,r)},e.sprintf=l,e.basic_formatter=s,e.get_formatter=c,e.get_value=m,e.replace_placeholders=function(r,n,e,t,i={}){return r=(r=r.replace(/@\\$name/g,r=>`@{${i.name}}`)).replace(/((?:\\$\\w+)|(?:@\\w+)|(?:@{(?:[^{}]+)}))(?:{([^{}]+)})?/g,(r,u,a)=>{const o=m(u,n,e,i);if(null==o)return\"\"+f.escape(\"???\");if(\"safe\"==a)return\"\"+o;const l=c(u,a,t);return\"\"+f.escape(l(o,a,i))})}},\n",
+       "      function _(e,n,t){\n",
+       "      /*!\n",
+       "           * numbro.js\n",
+       "           * version : 1.6.2\n",
+       "           * author : Företagsplatsen AB\n",
+       "           * license : MIT\n",
+       "           * http://www.foretagsplatsen.se\n",
+       "           */\n",
+       "      var r,i={},a=i,o=\"en-US\",l=null,u=\"0,0\";void 0!==n&&n.exports;function c(e){this._value=e}function s(e){var n,t=\"\";for(n=0;n<e;n++)t+=\"0\";return t}function f(e,n,t,r){var i,a,o=Math.pow(10,n);return a=e.toFixed(0).search(\"e\")>-1?function(e,n){var t,r,i,a;return t=(a=e.toString()).split(\"e\")[0],i=a.split(\"e\")[1],a=t.split(\".\")[0]+(r=t.split(\".\")[1]||\"\")+s(i-r.length),n>0&&(a+=\".\"+s(n)),a}(e,n):(t(e*o)/o).toFixed(n),r&&(i=new RegExp(\"0{1,\"+r+\"}$\"),a=a.replace(i,\"\")),a}function d(e,n,t){return n.indexOf(\"$\")>-1?function(e,n,t){var r,a,l=n,u=l.indexOf(\"$\"),c=l.indexOf(\"(\"),s=l.indexOf(\"+\"),f=l.indexOf(\"-\"),d=\"\",p=\"\";-1===l.indexOf(\"$\")?\"infix\"===i[o].currency.position?(p=i[o].currency.symbol,i[o].currency.spaceSeparated&&(p=\" \"+p+\" \")):i[o].currency.spaceSeparated&&(d=\" \"):l.indexOf(\" $\")>-1?(d=\" \",l=l.replace(\" $\",\"\")):l.indexOf(\"$ \")>-1?(d=\" \",l=l.replace(\"$ 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Array(v-x.length+1).join(\"0\")+x),y>-1&&(x=x.toString().replace(/(\\d)(?=(\\d{3})+(?!\\d))/g,\"$1\"+i[o].delimiters.thousands)),0===n.indexOf(\".\")&&(x=\"\"),b+(n.indexOf(\"(\")<n.indexOf(\"-\")?(B&&R?\"(\":\"\")+(P&&R||!B&&R?\"-\":\"\"):(P&&R||!B&&R?\"-\":\"\")+(B&&R?\"(\":\"\"))+(!R&&E&&0!==e?\"+\":\"\")+x+I+(L||\"\")+(k&&!r?k:\"\")+(C||\"\")+(B&&R?\")\":\"\")+w}function p(e,n){i[e]=n}function m(e){o=e;var n=i[e].defaults;n&&n.format&&r.defaultFormat(n.format),n&&n.currencyFormat&&r.defaultCurrencyFormat(n.currencyFormat)}(r=function(e){return r.isNumbro(e)?e=e.value():0===e||void 0===e?e=0:Number(e)||(e=r.fn.unformat(e)),new c(Number(e))}).version=\"1.6.2\",r.isNumbro=function(e){return e instanceof c},r.setLanguage=function(e,n){console.warn(\"`setLanguage` is deprecated since version 1.6.0. 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Use `cultureData` instead\"),!e)return a[o];if(!a[e])throw new Error(\"Unknown language : \"+e);return a[e]},r.cultureData=function(e){if(!e)return i[o];if(!i[e])throw new Error(\"Unknown culture : \"+e);return i[e]},r.culture(\"en-US\",{delimiters:{thousands:\",\",decimal:\".\"},abbreviations:{thousand:\"k\",million:\"m\",billion:\"b\",trillion:\"t\"},ordinal:function(e){var n=e%10;return 1==~~(e%100/10)?\"th\":1===n?\"st\":2===n?\"nd\":3===n?\"rd\":\"th\"},currency:{symbol:\"$\",position:\"prefix\"},defaults:{currencyFormat:\",0000 a\"},formats:{fourDigits:\"0000 a\",fullWithTwoDecimals:\"$ ,0.00\",fullWithTwoDecimalsNoCurrency:\",0.00\"}}),r.languages=function(){return console.warn(\"`languages` is deprecated since version 1.6.0. Use `cultures` instead\"),a},r.cultures=function(){return i},r.zeroFormat=function(e){l=\"string\"==typeof e?e:null},r.defaultFormat=function(e){u=\"string\"==typeof e?e:\"0.0\"},r.defaultCurrencyFormat=function(e){\"string\"==typeof e?e:\"0$\"},r.validate=function(e,n){var t,i,a,o,l,u,c,s;if(\"string\"!=typeof e&&(e+=\"\",console.warn&&console.warn(\"Numbro.js: Value is not string. It has been co-erced to: \",e)),(e=e.trim()).match(/^\\d+$/))return!0;if(\"\"===e)return!1;try{c=r.cultureData(n)}catch(e){c=r.cultureData(r.culture())}return a=c.currency.symbol,l=c.abbreviations,t=c.delimiters.decimal,i=\".\"===c.delimiters.thousands?\"\\\\.\":c.delimiters.thousands,(null===(s=e.match(/^[^\\d]+/))||(e=e.substr(1),s[0]===a))&&((null===(s=e.match(/[^\\d]+$/))||(e=e.slice(0,-1),s[0]===l.thousand||s[0]===l.million||s[0]===l.billion||s[0]===l.trillion))&&(u=new RegExp(i+\"{2}\"),!e.match(/[^\\d.,]/g)&&(!((o=e.split(t)).length>2)&&(o.length<2?!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u):1===o[0].length?!!o[0].match(/^\\d+$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/):!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/)))))},n.exports={format:function(e,n,t,i){return null!=t&&t!==r.culture()&&r.setCulture(t),d(Number(e),null!=n?n:u,null==i?Math.round:i)}}},\n",
+       "      function _(e,n,t){!function(){\"use strict\";var e={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function n(e){return i(a(e),arguments)}function r(e,t){return n.apply(null,[e].concat(t||[]))}function i(t,r){var i,s,a,o,p,c,l,u,f,d=1,g=t.length,y=\"\";for(s=0;s<g;s++)if(\"string\"==typeof t[s])y+=t[s];else if(\"object\"==typeof t[s]){if((o=t[s]).keys)for(i=r[d],a=0;a<o.keys.length;a++){if(null==i)throw new Error(n('[sprintf] Cannot access property \"%s\" of undefined value \"%s\"',o.keys[a],o.keys[a-1]));i=i[o.keys[a]]}else i=o.param_no?r[o.param_no]:r[d++];if(e.not_type.test(o.type)&&e.not_primitive.test(o.type)&&i instanceof Function&&(i=i()),e.numeric_arg.test(o.type)&&\"number\"!=typeof i&&isNaN(i))throw new TypeError(n(\"[sprintf] expecting number but found %T\",i));switch(e.number.test(o.type)&&(u=i>=0),o.type){case\"b\":i=parseInt(i,10).toString(2);break;case\"c\":i=String.fromCharCode(parseInt(i,10));break;case\"d\":case\"i\":i=parseInt(i,10);break;case\"j\":i=JSON.stringify(i,null,o.width?parseInt(o.width):0);break;case\"e\":i=o.precision?parseFloat(i).toExponential(o.precision):parseFloat(i).toExponential();break;case\"f\":i=o.precision?parseFloat(i).toFixed(o.precision):parseFloat(i);break;case\"g\":i=o.precision?String(Number(i.toPrecision(o.precision))):parseFloat(i);break;case\"o\":i=(parseInt(i,10)>>>0).toString(8);break;case\"s\":i=String(i),i=o.precision?i.substring(0,o.precision):i;break;case\"t\":i=String(!!i),i=o.precision?i.substring(0,o.precision):i;break;case\"T\":i=Object.prototype.toString.call(i).slice(8,-1).toLowerCase(),i=o.precision?i.substring(0,o.precision):i;break;case\"u\":i=parseInt(i,10)>>>0;break;case\"v\":i=i.valueOf(),i=o.precision?i.substring(0,o.precision):i;break;case\"x\":i=(parseInt(i,10)>>>0).toString(16);break;case\"X\":i=(parseInt(i,10)>>>0).toString(16).toUpperCase()}e.json.test(o.type)?y+=i:(!e.number.test(o.type)||u&&!o.sign?f=\"\":(f=u?\"+\":\"-\",i=i.toString().replace(e.sign,\"\")),c=o.pad_char?\"0\"===o.pad_char?\"0\":o.pad_char.charAt(1):\" \",l=o.width-(f+i).length,p=o.width&&l>0?c.repeat(l):\"\",y+=o.align?f+i+p:\"0\"===c?f+p+i:p+f+i)}return y}var s=Object.create(null);function a(n){if(s[n])return s[n];for(var t,r=n,i=[],a=0;r;){if(null!==(t=e.text.exec(r)))i.push(t[0]);else if(null!==(t=e.modulo.exec(r)))i.push(\"%\");else{if(null===(t=e.placeholder.exec(r)))throw new SyntaxError(\"[sprintf] unexpected placeholder\");if(t[2]){a|=1;var o=[],p=t[2],c=[];if(null===(c=e.key.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");for(o.push(c[1]);\"\"!==(p=p.substring(c[0].length));)if(null!==(c=e.key_access.exec(p)))o.push(c[1]);else{if(null===(c=e.index_access.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");o.push(c[1])}t[2]=o}else a|=2;if(3===a)throw new Error(\"[sprintf] mixing positional and named placeholders is not (yet) supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n",
+       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(9),a=e(110),s=e(164),r=e(165),c=e(168),_=e(169),m=e(167);class k extends s.CompositeTicker{constructor(e){super(e)}static init_DatetimeTicker(){this.override({num_minor_ticks:0,tickers:()=>[new a.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*m.ONE_MILLI,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:m.ONE_SECOND,max_interval:30*m.ONE_MINUTE,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:m.ONE_HOUR,max_interval:12*m.ONE_HOUR,num_minor_ticks:0}),new r.DaysTicker({days:t.range(1,32)}),new r.DaysTicker({days:t.range(1,31,3)}),new r.DaysTicker({days:[1,8,15,22]}),new r.DaysTicker({days:[1,15]}),new c.MonthsTicker({months:t.range(0,12,1)}),new c.MonthsTicker({months:t.range(0,12,2)}),new c.MonthsTicker({months:t.range(0,12,4)}),new c.MonthsTicker({months:t.range(0,12,6)}),new _.YearsTicker({})]})}}n.DatetimeTicker=k,k.__name__=\"DatetimeTicker\",k.init_DatetimeTicker()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),s=t(111),n=r.__importStar(t(18)),_=t(9);class a extends s.ContinuousTicker{constructor(t){super(t)}static init_CompositeTicker(){this.define({tickers:[n.Array,[]]})}get min_intervals(){return this.tickers.map(t=>t.get_min_interval())}get max_intervals(){return this.tickers.map(t=>t.get_max_interval())}get min_interval(){return this.min_intervals[0]}get max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const r=e-t,s=this.get_ideal_interval(t,e,i),n=[_.sorted_index(this.min_intervals,s)-1,_.sorted_index(this.max_intervals,s)],a=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map(t=>Math.abs(i-r/t));let c;if(_.is_empty(a.filter(t=>!isNaN(t))))c=this.tickers[0];else{const t=n[_.argmin(a)];c=this.tickers[t]}return c}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,r){return this.get_best_ticker(t,e,r).get_ticks_no_defaults(t,e,i,r)}}i.CompositeTicker=a,a.__name__=\"CompositeTicker\",a.init_CompositeTicker()},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=t(166),a=t(167),o=i.__importStar(t(18)),r=t(9);class _ extends s.SingleIntervalTicker{constructor(t){super(t)}static init_DaysTicker(){this.define({days:[o.Array,[]]}),this.override({num_minor_ticks:0})}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*a.ONE_DAY:this.interval=31*a.ONE_DAY}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=a.last_month_no_later_than(new Date(t)),i=a.last_month_no_later_than(new Date(e));i.setUTCMonth(i.getUTCMonth()+1);const s=[],o=n;for(;s.push(a.copy_date(o)),o.setUTCMonth(o.getUTCMonth()+1),!(o>i););return s}(t,e),o=this.days,_=this.interval;return{major:r.concat(s.map(t=>((t,e)=>{const n=t.getUTCMonth(),i=[];for(const s of o){const o=a.copy_date(t);o.setUTCDate(s),new Date(o.getTime()+e/2).getUTCMonth()==n&&i.push(o)}return i})(t,_))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.DaysTicker=_,_.__name__=\"DaysTicker\",_.init_DaysTicker()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),r=e(111),l=n.__importStar(e(18));class a extends r.ContinuousTicker{constructor(e){super(e)}static init_SingleIntervalTicker(){this.define({interval:[l.Number]})}get_interval(e,t,i){return this.interval}get min_interval(){return this.interval}get max_interval(){return this.interval}}i.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n",
+       "      function _(t,e,n){function _(t){return new Date(t.getTime())}function O(t){const e=_(t);return e.setUTCDate(1),e.setUTCHours(0),e.setUTCMinutes(0),e.setUTCSeconds(0),e.setUTCMilliseconds(0),e}Object.defineProperty(n,\"__esModule\",{value:!0}),n.ONE_MILLI=1,n.ONE_SECOND=1e3,n.ONE_MINUTE=60*n.ONE_SECOND,n.ONE_HOUR=60*n.ONE_MINUTE,n.ONE_DAY=24*n.ONE_HOUR,n.ONE_MONTH=30*n.ONE_DAY,n.ONE_YEAR=365*n.ONE_DAY,n.copy_date=_,n.last_month_no_later_than=O,n.last_year_no_later_than=function(t){const e=O(t);return e.setUTCMonth(0),e}},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(166),s=t(167),a=r.__importStar(t(18)),o=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define({months:[a.Array,[]]})}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*s.ONE_MONTH:this.interval=12*s.ONE_MONTH}get_ticks_no_defaults(t,e,n,r){const i=function(t,e){const n=s.last_year_no_later_than(new Date(t)),r=s.last_year_no_later_than(new Date(e));r.setUTCFullYear(r.getUTCFullYear()+1);const i=[],a=n;for(;i.push(s.copy_date(a)),a.setUTCFullYear(a.getUTCFullYear()+1),!(a>r););return i}(t,e),a=this.months;return{major:o.concat(i.map(t=>a.map(e=>{const n=s.copy_date(t);return n.setUTCMonth(e),n}))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.MonthsTicker=_,_.__name__=\"MonthsTicker\",_.init_MonthsTicker()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(109),r=e(166),n=e(167);class _ extends r.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=n.ONE_YEAR,this.basic_ticker=new i.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=n.last_year_no_later_than(new Date(e)).getUTCFullYear(),_=n.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,_,a,i).major.map(e=>Date.UTC(e,0,1)).filter(a=>e<=a&&a<=t),minor:[]}}}a.YearsTicker=_,_.__name__=\"YearsTicker\"},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(150),o=e(155),n=e(171),r=e(172);class _ extends s.AxisView{}t.LogAxisView=_,_.__name__=\"LogAxisView\";class c extends o.ContinuousAxis{constructor(e){super(e)}static init_LogAxis(){this.prototype.default_view=_,this.override({ticker:()=>new r.LogTicker,formatter:()=>new n.LogTickFormatter})}}t.LogAxis=c,c.__name__=\"LogAxis\",c.init_LogAxis()},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=t(114),a=t(113),n=i.__importStar(t(18));class c extends o.TickFormatter{constructor(t){super(t)}static init_LogTickFormatter(){this.define({ticker:[n.Instance,null]})}initialize(){super.initialize(),this.basic_formatter=new a.BasicTickFormatter}doFormat(t,e){if(0==t.length)return[];const r=null!=this.ticker?this.ticker.base:10;let i=!1;const o=new Array(t.length);for(let e=0,a=t.length;e<a;e++)if(o[e]=`${r}^${Math.round(Math.log(t[e])/Math.log(r))}`,e>0&&o[e]==o[e-1]){i=!0;break}return i?this.basic_formatter.doFormat(t,e):o}}r.LogTickFormatter=c,c.__name__=\"LogTickFormatter\",c.init_LogTickFormatter()},\n",
+       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(110),s=t(9);class n extends i.AdaptiveTicker{constructor(t){super(t)}static init_LogTicker(){this.override({mantissas:[1,5]})}get_ticks_no_defaults(t,o,e,i){const n=this.num_minor_ticks,r=[],c=this.base,a=Math.log(t)/Math.log(c),f=Math.log(o)/Math.log(c),l=f-a;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,i),c=Math.floor(t/e),a=Math.ceil(o/e);if(h=s.range(c,a+1).filter(t=>0!=t).map(t=>t*e).filter(e=>t<=e&&e<=o),n>0&&h.length>0){const t=e/n,o=s.range(0,n).map(o=>o*t);for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*a),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=s.range(t-1,o+1,e).map(t=>c**t),n>0&&h.length>0){const t=c**e/n,o=s.range(1,n+1).map(o=>o*t);for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter(e=>t<=e&&e<=o),minor:r.filter(e=>t<=e&&e<=o)}}}e.LogTicker=n,n.__name__=\"LogTicker\",n.init_LogTicker()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(150),s=e(157),o=e(174),a=e(175);class c extends i.AxisView{}r.MercatorAxisView=c,c.__name__=\"MercatorAxisView\";class n extends s.LinearAxis{constructor(e){super(e)}static init_MercatorAxis(){this.prototype.default_view=c,this.override({ticker:()=>new a.MercatorTicker({dimension:\"lat\"}),formatter:()=>new o.MercatorTickFormatter({dimension:\"lat\"})})}}r.MercatorAxis=n,n.__name__=\"MercatorAxis\",n.init_MercatorAxis()},\n",
+       "      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),n=r(113),i=o.__importStar(r(18)),c=r(32);class s extends n.BasicTickFormatter{constructor(r){super(r)}static init_MercatorTickFormatter(){this.define({dimension:[i.LatLon]})}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n<e;n++){const[e]=c.wgs84_mercator.inverse([r[n],t.loc]);o[n]=e}else for(let n=0;n<e;n++){const[,e]=c.wgs84_mercator.inverse([t.loc,r[n]]);o[n]=e}return super.doFormat(o,t)}}e.MercatorTickFormatter=s,s.__name__=\"MercatorTickFormatter\",s.init_MercatorTickFormatter()},\n",
+       "      function _(r,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=r(1),s=r(109),i=n.__importStar(r(18)),t=r(32);class c extends s.BasicTicker{constructor(r){super(r)}static init_MercatorTicker(){this.define({dimension:[i.LatLon]})}get_ticks_no_defaults(r,o,e,n){if(null==this.dimension)throw new Error(\"MercatorTicker.dimension not configured\");let s,i,c;[r,o]=t.clip_mercator(r,o,this.dimension),\"lon\"===this.dimension?([s,c]=t.wgs84_mercator.inverse([r,e]),[i,c]=t.wgs84_mercator.inverse([o,e])):([c,s]=t.wgs84_mercator.inverse([e,r]),[c,i]=t.wgs84_mercator.inverse([e,o]));const a=super.get_ticks_no_defaults(s,i,e,n),_=[],f=[];if(\"lon\"===this.dimension){for(const r of a.major)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);_.push(o)}for(const r of a.minor)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);f.push(o)}}else{for(const r of a.major)if(t.in_bounds(r,\"lat\")){const[,o]=t.wgs84_mercator.forward([c,r]);_.push(o)}for(const r of a.minor)if(t.in_bounds(r,\"lat\")){const[,o]=t.wgs84_mercator.forward([c,r]);f.push(o)}}return{major:_,minor:f}}}e.MercatorTicker=c,c.__name__=\"MercatorTicker\",c.init_MercatorTicker()},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});var t=e(177);o.CustomJS=t.CustomJS;var u=e(179);o.OpenURL=u.OpenURL},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),u=t(178),c=n.__importStar(t(18)),r=t(17),a=t(24);class i extends u.Callback{constructor(t){super(t)}static init_CustomJS(){this.define({args:[c.Any,{}],code:[c.String,\"\"]})}get names(){return r.keys(this.args)}get values(){return r.values(this.args)}get func(){const t=a.use_strict(this.code);return new Function(...this.names,\"cb_obj\",\"cb_data\",t)}execute(t,e={}){return this.func.apply(t,this.values.concat(t,e))}}s.CustomJS=i,i.__name__=\"CustomJS\",i.init_CustomJS()},\n",
+       "      function _(e,c,l){Object.defineProperty(l,\"__esModule\",{value:!0});const a=e(71);class n extends a.Model{constructor(e){super(e)}}l.Callback=n,n.__name__=\"Callback\"},\n",
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${e}`)}closePath(){this.__currentDefaultPath&&this.__addPathCommand(\"Z\")}lineTo(t,e){this.__currentPosition={x:t,y:e},this.__currentDefaultPath.indexOf(\"M\")>-1?this.__addPathCommand(`L ${t} ${e}`):this.__addPathCommand(`M ${t} ${e}`)}bezierCurveTo(t,e,s,i,r,n){this.__currentPosition={x:r,y:n},this.__addPathCommand(`C ${t} ${e} ${s} ${i} ${r} ${n}`)}quadraticCurveTo(t,e,s,i){this.__currentPosition={x:s,y:i},this.__addPathCommand(`Q ${t} ${e} ${s} ${i}`)}arcTo(t,e,s,i,r){if(null==this.__currentPosition)return;const n=this.__currentPosition.x,a=this.__currentPosition.y;if(r<0)throw new Error(\"IndexSizeError: The radius provided (\"+r+\") is negative.\");if(n===t&&a===e||t===s&&e===i||0===r)return void this.lineTo(t,e);function o([t,e]){const s=Math.sqrt(t**2+e**2);return[t/s,e/s]}const l=o([n-t,a-e]),h=o([s-t,i-e]);if(l[0]*h[1]==l[1]*h[0])return void this.lineTo(t,e);const 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r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i},!0);this.__closestGroupOrSvg().appendChild(r),this.__currentElement=r,this.__applyStyleToCurrentElement(\"fill\")}strokeRect(t,e,s,i){const r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i},!0);this.__closestGroupOrSvg().appendChild(r),this.__currentElement=r,this.__applyStyleToCurrentElement(\"stroke\")}__clearCanvas(){const t=this.__closestGroupOrSvg().getAttribute(\"transform\"),e=r(this.__root)[1],s=e.childNodes;for(let t=s.length-1;t>=0;t--)s[t]&&e.removeChild(s[t]);this.__currentElement=e,this.__groupStack=[],t&&this.__addTransform(t)}clearRect(t,e,s,i){if(0===t&&0===e&&s===this.width&&i===this.height)return void this.__clearCanvas();const r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i,fill:\"#FFFFFF\"},!0);this.__closestGroupOrSvg().appendChild(r)}createLinearGradient(t,e,s,i){const r=this.__createElement(\"linearGradient\",{id:n(this.__ids),x1:t+\"px\",x2:s+\"px\",y1:e+\"px\",y2:i+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(r),new c(r,this)}createRadialGradient(t,e,s,i,r,a){const o=this.__createElement(\"radialGradient\",{id:n(this.__ids),cx:i+\"px\",cy:r+\"px\",r:a+\"px\",fx:t+\"px\",fy:e+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(o),new c(o,this)}__parseFont(){const t=/^\\s*(?=(?:(?:[-a-z]+\\s*){0,2}(italic|oblique))?)(?=(?:(?:[-a-z]+\\s*){0,2}(small-caps))?)(?=(?:(?:[-a-z]+\\s*){0,2}(bold(?:er)?|lighter|[1-9]00))?)(?:(?:normal|\\1|\\2|\\3)\\s*){0,3}((?:xx?-)?(?:small|large)|medium|smaller|larger|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx]))(?:\\s*\\/\\s*(normal|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx])))?\\s*([-,\\'\\\"\\sa-z0-9]+?)\\s*$/i.exec(this.font),e={style:t[1]||\"normal\",size:t[4]||\"10px\",family:t[6]||\"sans-serif\",weight:t[3]||\"normal\",decoration:t[2]||\"normal\"};return\"underline\"===this.__fontUnderline&&(e.decoration=\"underline\"),null!=this.__fontHref&&(e.href=this.__fontHref),e}__wrapTextLink(t,e){if(t.href){const s=this.__createElement(\"a\");return s.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.href),s.appendChild(e),s}return e}__applyText(t,e,s,i){const r=this.__parseFont(),n=this.__closestGroupOrSvg(),l=this.__createElement(\"text\",{\"font-family\":r.family,\"font-size\":r.size,\"font-style\":r.style,\"font-weight\":r.weight,\"text-decoration\":r.decoration,x:e,y:s,\"text-anchor\":a(this.textAlign),\"dominant-baseline\":o(this.textBaseline)},!0);l.appendChild(this.__document.createTextNode(t)),this.__currentElement=l,this.__applyStyleToCurrentElement(i),n.appendChild(this.__wrapTextLink(r,l))}fillText(t,e,s){this.__applyText(t,e,s,\"fill\")}strokeText(t,e,s){this.__applyText(t,e,s,\"stroke\")}measureText(t){return this.__ctx.font=this.font,this.__ctx.measureText(t)}arc(t,e,s,i,r,n=!1){if(i===r)return;(i%=2*Math.PI)===(r%=2*Math.PI)&&(r=(r+2*Math.PI-.001*(n?-1:1))%(2*Math.PI));const a=t+s*Math.cos(r),o=e+s*Math.sin(r),l=t+s*Math.cos(i),h=e+s*Math.sin(i),c=n?0:1;let _=0,u=r-i;u<0&&(u+=2*Math.PI),_=n?u>Math.PI?0:1:u>Math.PI?1:0,this.moveTo(l,h);const d=s,p=s;this.__addPathCommand(`A ${d} ${p} 0 ${_} ${c} ${a} ${o}`),this.__currentPosition={x:a,y:o}}clip(){const t=this.__closestGroupOrSvg(),e=this.__createElement(\"clipPath\"),s=n(this.__ids),i=this.__createElement(\"g\");this.__applyCurrentDefaultPath(),t.removeChild(this.__currentElement),e.setAttribute(\"id\",s),e.appendChild(this.__currentElement),this.__defs.appendChild(e),t.setAttribute(\"clip-path\",`url(#${s})`),t.appendChild(i),this.__currentElement=i}drawImage(t,...e){let s,i,n,a,o,l,h,c;if(2==e.length)[s,i]=e,o=0,l=0,h=t.width,c=t.height,n=h,a=c;else if(4==e.length)[s,i,n,a]=e,o=0,l=0,h=t.width,c=t.height;else{if(8!==e.length)throw new Error(\"Inavlid number of arguments passed to drawImage: \"+arguments.length);[o,l,h,c,s,i,n,a]=e}const _=this.__closestGroupOrSvg(),d=\"translate(\"+s+\", \"+i+\")\";if(t instanceof u){const e=t.getSvg().cloneNode(!0);if(e.childNodes&&e.childNodes.length>1){const t=r(e)[0];for(;t.childNodes.length;){const e=r(t)[0].getAttribute(\"id\");this.__ids[e]=e,this.__defs.appendChild(r(t)[0])}const s=r(e)[1];if(s){const t=s.getAttribute(\"transform\");let e;e=t?t+\" \"+d:d,s.setAttribute(\"transform\",e),_.appendChild(s)}}}else if(t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__createElement(\"image\");if(e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\"),o||l||h!==t.width||c!==t.height){const e=this.__document.createElement(\"canvas\");e.width=n,e.height=a,e.getContext(\"2d\").drawImage(t,o,l,h,c,0,0,n,a),t=e}e.setAttribute(\"transform\",d);const s=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",s),_.appendChild(e)}else if(t instanceof HTMLCanvasElement){const e=this.__createElement(\"image\");e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\");const s=this.__document.createElement(\"canvas\");s.width=n,s.height=a;const i=s.getContext(\"2d\");i.imageSmoothingEnabled=!1,i.drawImage(t,o,l,h,c,0,0,n,a),t=s,e.setAttribute(\"transform\",d),e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.toDataURL()),_.appendChild(e)}}createPattern(t,e){const s=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),i=n(this.__ids);let r;if(s.setAttribute(\"id\",i),s.setAttribute(\"width\",\"\"+t.width),s.setAttribute(\"height\",\"\"+t.height),t instanceof HTMLCanvasElement||t instanceof HTMLImageElement||t instanceof SVGImageElement){r=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\"),r.setAttribute(\"width\",\"\"+t.width),r.setAttribute(\"height\",\"\"+t.height);const e=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");r.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",e),s.appendChild(r),this.__defs.appendChild(s)}else t instanceof u&&(s.appendChild(t.__root.childNodes[1]),this.__defs.appendChild(s));return new _(s,this)}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}}s.SVGRenderingContext2D=u,u.__name__=\"SVGRenderingContext2D\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(185),_=e(121),n=e(130),r=e(131),i=e(186),g=e(90),c=e(188);class h extends c.LayoutItem{constructor(e,t,s,a,_={},n={}){super(),this.x_scale=e,this.y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=n,this._configure_scales()}map_to_screen(e,t,s=\"default\",a=\"default\"){return[this.xscales[s].v_compute(e),this.yscales[a].v_compute(t)]}_get_ranges(e,t){return Object.assign(Object.assign({},t),{default:e})}_get_scales(e,t,s){const c={};for(const h in t){const o=t[h];if((o instanceof i.DataRange1d||o instanceof r.Range1d)&&!(e instanceof _.ContinuousScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);if(o instanceof g.FactorRange&&!(e instanceof a.CategoricalScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&o instanceof i.DataRange1d&&(o.scale_hint=\"log\");const l=e.clone();l.setv({source_range:o,target_range:s}),c[h]=l}return c}_configure_frame_ranges(){this._h_target=new r.Range1d({start:this._left.value,end:this._right.value}),this._v_target=new r.Range1d({start:this._bottom.value,end:this._top.value})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._xscales=this._get_scales(this.x_scale,this._x_ranges,this._h_target),this._yscales=this._get_scales(this.y_scale,this._y_ranges,this._v_target)}_update_scales(){this._configure_frame_ranges();for(const e in this._xscales){this._xscales[e].target_range=this._h_target}for(const e in this._yscales){this._yscales[e].target_range=this._v_target}}_set_geometry(e,t){super._set_geometry(e,t),this._update_scales()}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get xscales(){return this._xscales}get yscales(){return this._yscales}}s.CartesianFrame=h,h.__name__=\"CartesianFrame\"},\n",
+       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(122);class _ extends n.Scale{constructor(e){super(e)}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}t.CategoricalScale=_,_.__name__=\"CategoricalScale\"},\n",
+       "      function _(t,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=t(1),a=t(187),s=t(81),l=t(72),_=e.__importStar(t(18)),o=e.__importStar(t(88)),r=t(9);class h extends a.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}static init_DataRange1d(){this.define({start:[_.Number],end:[_.Number],range_padding:[_.Number,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[_.Boolean,!1],follow:[_.StartEnd],follow_interval:[_.Number],default_span:[_.Number,2],only_visible:[_.Boolean,!1]}),this.internal({scale_hint:[_.String,\"auto\"]})}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const t=this.names;let i=this.renderers;if(0==i.length)for(const t of this.plots){const n=t.renderers.filter(t=>t instanceof s.GlyphRenderer);i=i.concat(n)}t.length>0&&(i=i.filter(i=>r.includes(t,i.name))),l.logger.debug(`computed ${i.length} renderers for ${this}`);for(const t of i)l.logger.trace(\" - \"+t);return i}_compute_plot_bounds(t,i){let n=o.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=o.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=o.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return e<i*a?e=i*a:a=e/i,n.x1=s+.5*e,n.x0=s-.5*e,n.y1=l+.5*a,n.y0=l-.5*a,n}_compute_min_max(t,i){let n,e,a=o.empty();for(const i of t)a=o.union(a,i);return[n,e]=0==i?[a.x0,a.x1]:[a.y0,a.y1],[n,e]}_compute_range(t,i){const n=this.range_padding;let e,a;if(null!=this._initial_start&&(t=this._initial_start),null!=this._initial_end&&(i=this._initial_end),\"log\"==this.scale_hint){let s,_;if((isNaN(t)||!isFinite(t)||t<=0)&&(t=isNaN(i)||!isFinite(i)||i<=0?.1:i/100,l.logger.warn(\"could not determine minimum data value for log axis, DataRange1d using value \"+t)),(isNaN(i)||!isFinite(i)||i<=0)&&(i=isNaN(t)||!isFinite(t)||t<=0?10:100*t,l.logger.warn(\"could not determine maximum data value for log axis, DataRange1d using value \"+i)),i==t)_=this.default_span+.001,s=Math.log(t)/Math.log(10);else{let e,a;\"percent\"==this.range_padding_units?(e=Math.log(t)/Math.log(10),a=Math.log(i)/Math.log(10),_=(a-e)*(1+n)):(e=Math.log(t-n)/Math.log(10),a=Math.log(i+n)/Math.log(10),_=a-e),s=(e+a)/2}e=10**(s-_/2),a=10**(s+_/2)}else{let s;s=i==t?this.default_span:\"percent\"==this.range_padding_units?(i-t)*(1+n):i-t+2*n;const l=(i+t)/2;e=l-s/2,a=l+s/2}let s=1;this.flipped&&([e,a]=[a,e],s=-1);const _=this.follow_interval;return null!=_&&Math.abs(e-a)>_&&(\"start\"==this.follow?a=e+s*_:\"end\"==this.follow&&(e=a-s*_)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);const[h,d]=[this.start,this.end];if(o!=h||r!=d){const t={};o!=h&&(t.start=o),r!=d&&(t.end=r),this.setv(t)}\"auto\"==this.bounds&&this.setv({bounds:[o,r]},{silent:!0}),this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=h,h.__name__=\"DataRange1d\",h.init_DataRange1d()},\n",
+       "      function _(e,a,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),r=e(91),s=n.__importStar(e(18));class _ extends r.Range{constructor(e){super(e)}static init_DataRange(){this.define({names:[s.Array,[]],renderers:[s.Array,[]]})}}t.DataRange=_,_.__name__=\"DataRange\",_.init_DataRange()},\n",
+       "      function _(a,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=a(189);t.Sizeable=e.Sizeable;var r=a(190);t.Layoutable=r.Layoutable,t.LayoutItem=r.LayoutItem;var n=a(191);t.HStack=n.HStack,t.VStack=n.VStack,t.AnchorLayout=n.AnchorLayout;var u=a(192);t.Grid=u.Grid,t.Row=u.Row,t.Column=u.Column;var c=a(193);t.ContentBox=c.ContentBox,t.VariadicBox=c.VariadicBox},\n",
+       "      function _(h,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const{min:e,max:w}=Math;class d{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new d({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new d({width:h!=1/0?w(this.width,h):this.width,height:t!=1/0?w(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=w(this.width,h),this.height=w(this.height,t)}narrowed_to({width:h,height:t}){return new d({width:e(this.width,h),height:e(this.height,t)})}narrow_to({width:h,height:t}){this.width=e(this.width,h),this.height=e(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,s=this.height+i+e;return new d({width:w,height:s})}shrink_by({left:h,right:t,top:i,bottom:e}){const s=w(this.width-h-t,0),n=w(this.height-i-e,0);return new d({width:s,height:n})}map(h,t){return new d({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=d,d.__name__=\"Sizeable\"},\n",
+       "      function _(i,t,h){Object.defineProperty(h,\"__esModule\",{value:!0});const e=i(189),s=i(88),{min:n,max:g,round:a}=Math;class r{constructor(){this._bbox=new s.BBox,this._inner_bbox=new s.BBox;const i=this;this._top={get value(){return i.bbox.top}},this._left={get value(){return i.bbox.left}},this._width={get value(){return i.bbox.width}},this._height={get value(){return i.bbox.height}},this._right={get value(){return i.bbox.right}},this._bottom={get value(){return i.bbox.bottom}},this._hcenter={get value(){return i.bbox.hcenter}},this._vcenter={get value(){return i.bbox.vcenter}}}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set_sizing(i){const t=i.width_policy||\"fit\",h=i.width,e=null!=i.min_width?i.min_width:0,s=null!=i.max_width?i.max_width:1/0,n=i.height_policy||\"fit\",g=i.height,a=null!=i.min_height?i.min_height:0,r=null!=i.max_height?i.max_height:1/0,l=i.aspect,_=i.margin||{top:0,right:0,bottom:0,left:0},d=!1!==i.visible,o=i.halign||\"start\",u=i.valign||\"start\";this._sizing={width_policy:t,min_width:e,width:h,max_width:s,height_policy:n,min_height:a,height:g,max_height:r,aspect:l,margin:_,visible:d,halign:o,valign:u,size:{width:h,height:g},min_size:{width:e,height:a},max_size:{width:s,height:r}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,t||i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:s,height_policy:n}=this.sizing,g=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=s&&\"fixed\"!=n)if(s==n){const s=t,n=a(t/e),g=a(h*e),r=h;Math.abs(i.width-s)+Math.abs(i.height-n)<=Math.abs(i.width-g)+Math.abs(i.height-r)?(t=s,h=n):(t=g,h=r)}else g(s,n)?h=a(t/e):t=a(h*e);else\"fixed\"==s?h=a(t/e):\"fixed\"==n&&(t=a(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,s=new e.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(s),g=this.clip_size(n),a=t(g.width),r=h(g.height),l=this.apply_aspect(s,{width:a,height:r});return Object.assign(Object.assign({},n),l)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new s.BBox({left:0,top:0,width:h,height:e});let g=void 0;if(null!=t.inner){const{left:i,top:n,right:a,bottom:r}=t.inner;g=new s.BBox({left:i,top:n,right:h-a,bottom:e-r})}this.set_geometry(n,g)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_width(i){return g(this.sizing.min_width,n(i,this.sizing.max_width))}clip_height(i){return g(this.sizing.min_height,n(i,this.sizing.max_height))}clip_size({width:i,height:t}){return{width:this.clip_width(i),height:this.clip_height(t)}}}h.Layoutable=r,r.__name__=\"Layoutable\";class l extends r{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;let e,s;if(i.width==1/0)e=null!=this.sizing.width?this.sizing.width:0;else switch(t){case\"fixed\":e=null!=this.sizing.width?this.sizing.width:0;break;case\"min\":e=null!=this.sizing.width?n(i.width,this.sizing.width):0;break;case\"fit\":e=null!=this.sizing.width?n(i.width,this.sizing.width):i.width;break;case\"max\":e=null!=this.sizing.width?g(i.width,this.sizing.width):i.width}if(i.height==1/0)s=null!=this.sizing.height?this.sizing.height:0;else switch(h){case\"fixed\":s=null!=this.sizing.height?this.sizing.height:0;break;case\"min\":s=null!=this.sizing.height?n(i.height,this.sizing.height):0;break;case\"fit\":s=null!=this.sizing.height?n(i.height,this.sizing.height):i.height;break;case\"max\":s=null!=this.sizing.height?g(i.height,this.sizing.height):i.height}return{width:e,height:s}}}h.LayoutItem=l,l.__name__=\"LayoutItem\";class _ extends r{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=_,_.__name__=\"ContentLayoutable\"},\n",
+       "      function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const o=t(190),r=t(88);class i extends o.Layoutable{constructor(){super(...arguments),this.children=[]}}h.Stack=i,i.__name__=\"Stack\";class s extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e+=o.width,h=Math.max(h,o.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{top:h,bottom:o}=t;let{left:i}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({left:i,width:e,top:h,bottom:o})),i+=e}}}h.HStack=s,s.__name__=\"HStack\";class n extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e=Math.max(e,o.width),h+=o.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{left:h,right:o}=t;let{top:i}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({top:i,height:e,left:h,right:o})),i+=e}}}h.VStack=n,n.__name__=\"VStack\";class c extends o.Layoutable{constructor(){super(...arguments),this.children=[]}_measure(t){let e=0,h=0;for(const{layout:o}of this.children){const r=o.measure(t);e=Math.max(e,r.width),h=Math.max(h,r.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);for(const{layout:e,anchor:h,margin:o}of this.children){const{left:i,right:s,top:n,bottom:c,hcenter:a,vcenter:_}=t,{width:g,height:d}=e.measure(t);let m;switch(h){case\"top_left\":m=new r.BBox({left:i+o,top:n+o,width:g,height:d});break;case\"top_center\":m=new r.BBox({hcenter:a,top:n+o,width:g,height:d});break;case\"top_right\":m=new r.BBox({right:s-o,top:n+o,width:g,height:d});break;case\"bottom_right\":m=new r.BBox({right:s-o,bottom:c-o,width:g,height:d});break;case\"bottom_center\":m=new r.BBox({hcenter:a,bottom:c-o,width:g,height:d});break;case\"bottom_left\":m=new r.BBox({left:i+o,bottom:c-o,width:g,height:d});break;case\"center_left\":m=new r.BBox({left:i+o,vcenter:_,width:g,height:d});break;case\"center\":m=new r.BBox({hcenter:a,vcenter:_,width:g,height:d});break;case\"center_right\":m=new r.BBox({right:s-o,vcenter:_,width:g,height:d})}e.set_geometry(m)}}}h.AnchorLayout=c,c.__name__=\"AnchorLayout\"},\n",
+       "      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(189),o=t(190),n=t(8),r=t(88),h=t(9),{max:l,round:c}=Math;class a{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}a.__name__=\"DefaultMap\";class g{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=l(this._nrows,s+1),this._ncols=l(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter(({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1).map(({data:t})=>t)}row(t){return this._items.filter(({span:i})=>i.r0<=t&&t<=i.r1).map(({data:t})=>t)}col(t){return this._items.filter(({span:i})=>i.c0<=t&&t<=i.c1).map(({data:t})=>t)}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new g;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}g.__name__=\"Container\";class p extends o.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0,this.absolute=!1}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}_init(){super._init();const t=new g;for(const{layout:i,row:s,col:e,row_span:o,col_span:n}of this.items)if(i.sizing.visible){const r=s,h=e,l=s+(null!=o?o:1)-1,c=e+(null!=n?n:1)-1;t.add({r0:r,c0:h,r1:l,c1:c},i)}const{nrows:i,ncols:s}=t,e=new Array(i);for(let s=0;s<i;s++){const i=(()=>{const t=n.isPlainObject(this.rows)?this.rows[s]||this.rows[\"*\"]:this.rows;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",height:t}:n.isString(t)?{policy:t}:t})(),o=i.align||\"auto\";if(\"fixed\"==i.policy)e[s]={policy:\"fixed\",height:i.height,align:o};else if(\"min\"==i.policy)e[s]={policy:\"min\",align:o};else if(\"fit\"==i.policy||\"max\"==i.policy)e[s]={policy:i.policy,flex:i.flex||1,align:o};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");h.some(t.row(s),t=>t.is_height_expanding())?e[s]={policy:\"max\",flex:1,align:o}:e[s]={policy:\"min\",align:o}}}const o=new Array(s);for(let i=0;i<s;i++){const s=(()=>{const t=n.isPlainObject(this.cols)?this.cols[i]||this.cols[\"*\"]:this.cols;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",width:t}:n.isString(t)?{policy:t}:t})(),e=s.align||\"auto\";if(\"fixed\"==s.policy)o[i]={policy:\"fixed\",width:s.width,align:e};else if(\"min\"==s.policy)o[i]={policy:\"min\",align:e};else if(\"fit\"==s.policy||\"max\"==s.policy)o[i]={policy:s.policy,flex:s.flex||1,align:e};else{if(\"auto\"!=s.policy)throw new Error(\"unrechable\");h.some(t.col(i),t=>t.is_width_expanding())?o[i]={policy:\"max\",flex:1,align:e}:o[i]={policy:\"min\",align:e}}}const[r,l]=n.isNumber(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:t,nrows:i,ncols:s,rows:e,cols:o,rspacing:r,cspacing:l}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:h.sum(t)+(s-1)*o,width:h.sum(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:o,rows:n,cols:r,rspacing:h,cspacing:a}=this._state,p=new Array(s);for(let t=0;t<s;t++){const i=n[t];p[t]=\"fixed\"==i.policy?i.height:0}const _=new Array(o);for(let t=0;t<o;t++){const i=r[t];_[t]=\"fixed\"==i.policy?i.width:0}const f=new g;return i.foreach((i,s)=>{const{r0:o,c0:g,r1:d,c1:w}=i,u=(d-o)*h,m=(w-g)*a;let y=0;for(let i=o;i<=d;i++)y+=t(i,g).height;y+=u;let x=0;for(let i=g;i<=w;i++)x+=t(o,i).width;x+=m;const b=s.measure({width:x,height:y});f.add(i,{layout:s,size_hint:b});const z=new e.Sizeable(b).grow_by(s.sizing.margin);z.height-=u,z.width-=m;const j=[];for(let t=o;t<=d;t++){const i=n[t];\"fixed\"==i.policy?z.height-=i.height:j.push(t)}if(z.height>0){const t=c(z.height/j.length);for(const i of j)p[i]=l(p[i],t)}const O=[];for(let t=g;t<=w;t++){const i=r[t];\"fixed\"==i.policy?z.width-=i.width:O.push(t)}if(z.width>0){const t=c(z.width/O.length);for(const i of O)_[i]=l(_[i],t)}}),{size:this._measure_totals(p,_),row_heights:p,col_widths:_,size_hints:f}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:r}=this._state,h=this._measure_cells((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}});let a;a=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:h.size.height;let g,p=0;for(let t=0;t<i;t++){const i=e[t];\"fit\"==i.policy||\"max\"==i.policy?p+=i.flex:a-=h.row_heights[t]}if(a-=(i-1)*n,0!=p&&a>0)for(let t=0;t<i;t++){const i=e[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(a*(i.flex/p));a-=s,h.row_heights[t]=s,p-=i.flex}}else if(a<0){let t=0;for(let s=0;s<i;s++){\"fixed\"!=e[s].policy&&t++}let s=-a;for(let o=0;o<i;o++){if(\"fixed\"!=e[o].policy){const i=h.row_heights[o],e=c(s/t);h.row_heights[o]=l(i-e,0),s-=e>i?i:e,t--}}}g=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:h.size.width;let _=0;for(let t=0;t<s;t++){const i=o[t];\"fit\"==i.policy||\"max\"==i.policy?_+=i.flex:g-=h.col_widths[t]}if(g-=(s-1)*r,0!=_&&g>0)for(let t=0;t<s;t++){const i=o[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(g*(i.flex/_));g-=s,h.col_widths[t]=s,_-=i.flex}}else if(g<0){let t=0;for(let i=0;i<s;i++){\"fixed\"!=o[i].policy&&t++}let i=-g;for(let e=0;e<s;e++){if(\"fixed\"!=o[e].policy){const s=h.col_widths[e],o=c(i/t);h.col_widths[e]=l(s-o,0),i-=o>s?s:o,t--}}}const{row_heights:f,col_widths:d,size_hints:w}=this._measure_cells((t,i)=>({width:h.col_widths[i],height:h.row_heights[t]}));return{size:this._measure_totals(f,d),row_heights:f,col_widths:d,size_hints:w}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:h,col_widths:g,size_hints:p}=this._measure_grid(t),_=this._state.rows.map((t,i)=>Object.assign(Object.assign({},t),{top:0,height:h[i],get bottom(){return this.top+this.height}})),f=this._state.cols.map((t,i)=>Object.assign(Object.assign({},t),{left:0,width:g[i],get right(){return this.left+this.width}})),d=p.map((t,i)=>Object.assign(Object.assign({},i),{outer:new r.BBox,inner:new r.BBox}));for(let i=0,e=this.absolute?t.top:0;i<s;i++){const t=_[i];t.top=e,e+=t.height+o}for(let i=0,s=this.absolute?t.left:0;i<e;i++){const t=f[i];t.left=s,s+=t.width+n}d.foreach(({r0:t,c0:i,r1:s,c1:e},h)=>{const{layout:l,size_hint:a}=h,{sizing:g}=l,{width:p,height:d}=a,w=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=f[e].width;return s}(i,e),u=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=_[e].height;return s}(t,s),m=i==e&&\"auto\"!=f[i].align?f[i].align:g.halign,y=t==s&&\"auto\"!=_[t].align?_[t].align:g.valign;let x=f[i].left;\"start\"==m?x+=g.margin.left:\"center\"==m?x+=c((w-p)/2):\"end\"==m&&(x+=w-g.margin.right-p);let b=_[t].top;\"start\"==y?b+=g.margin.top:\"center\"==y?b+=c((u-d)/2):\"end\"==y&&(b+=u-g.margin.bottom-d),h.outer=new r.BBox({left:x,top:b,width:p,height:d})});const w=_.map(()=>({start:new a(()=>0),end:new a(()=>0)})),u=f.map(()=>({start:new a(()=>0),end:new a(()=>0)}));d.foreach(({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:r}=o;null!=r&&(w[t].start.apply(n.top,t=>l(t,r.top)),w[s].end.apply(_[s].bottom-n.bottom,t=>l(t,r.bottom)),u[i].start.apply(n.left,t=>l(t,r.left)),u[e].end.apply(f[e].right-n.right,t=>l(t,r.right)))}),d.foreach(({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:h}=o;function l({left:t,right:i,top:s,bottom:e}){const o=h.width-t-i,n=h.height-s-e;return new r.BBox({left:t,top:s,width:o,height:n})}if(null!=n.inner){let r=l(n.inner);if(!1!==n.align){const o=w[t].start.get(h.top),n=w[s].end.get(_[s].bottom-h.bottom),c=u[i].start.get(h.left),a=u[e].end.get(f[e].right-h.right);try{r=l({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=r}else o.inner=h}),d.foreach((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)})}}s.Grid=p,p.__name__=\"Grid\";class _ extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:0,col:i})),this.rows=\"fit\"}}s.Row=_,_.__name__=\"Row\";class f extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:i,col:0})),this.cols=\"fit\"}}s.Column=f,f.__name__=\"Column\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(190),i=e(189),a=e(68);class c extends n.ContentLayoutable{constructor(e){super(),this.content_size=a.unsized(e,()=>new i.Sizeable(a.size(e)))}_content_size(){return this.content_size}}s.ContentBox=c,c.__name__=\"ContentBox\";class o extends n.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new i.Sizeable(e).bounded_to(this.sizing.size);return a.sized(this.el,t,()=>{const e=new i.Sizeable(a.content_size(this.el)),{border:t,padding:s}=a.extents(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)})}}s.VariadicBox=o,o.__name__=\"VariadicBox\";class r extends o{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=r,r.__name__=\"CachedVariadicBox\"},\n",
+       "      function _(e,r,u){Object.defineProperty(u,\"__esModule\",{value:!0});var a=e(195);u.Expression=a.Expression;var n=e(196);u.Stack=n.Stack;var o=e(197);u.CumSum=o.CumSum},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(71);class i extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}v_compute(e){this._connected.has(e)||(this.connect(e.change,()=>this._result.delete(e)),this.connect(e.patching,()=>this._result.delete(e)),this.connect(e.streaming,()=>this._result.delete(e)),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=i,i.__name__=\"Expression\"},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),o=t(195),r=i.__importStar(t(18));class s extends o.Expression{constructor(t){super(t)}static init_Stack(){this.define({fields:[r.Array,[]]})}_v_compute(t){var e;const n=null!==(e=t.get_length())&&void 0!==e?e:0,i=new Float64Array(n);for(const e of this.fields){const o=t.data[e];if(null!=o)for(let t=0,e=Math.min(n,o.length);t<e;t++)i[t]+=o[t]}return i}}n.Stack=s,s.__name__=\"Stack\",s.init_Stack()},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),u=e(195),o=i.__importStar(e(18));class r extends u.Expression{constructor(e){super(e)}static init_CumSum(){this.define({field:[o.String],include_zero:[o.Boolean,!1]})}_v_compute(e){const t=new Float64Array(e.get_length()||0),n=e.data[this.field],i=this.include_zero?1:0;t[0]=this.include_zero?0:n[0];for(let e=1;e<t.length;e++)t[e]=t[e-1]+n[e-i];return t}}n.CumSum=r,r.__name__=\"CumSum\",r.init_CumSum()},\n",
+       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});var l=e(199);t.BooleanFilter=l.BooleanFilter;var i=e(201);t.CustomJSFilter=i.CustomJSFilter;var o=e(200);t.Filter=o.Filter;var F=e(202);t.GroupFilter=F.GroupFilter;var a=e(203);t.IndexFilter=a.IndexFilter},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(200),i=o.__importStar(e(18)),r=e(72),a=e(9),s=e(8);class g extends l.Filter{constructor(e){super(e)}static init_BooleanFilter(){this.define({booleans:[i.Array,null]})}compute_indices(e){const n=this.booleans;return null!=n&&n.length>0?a.every(n,s.isBoolean)?(n.length!==e.get_length()&&r.logger.warn(this+\": length of booleans doesn't match data source\"),a.range(0,n.length).filter(e=>!0===n[e])):(r.logger.warn(this+\": booleans should be array of booleans, defaulting to no filtering\"),null):(null!=n&&0==n.length?r.logger.warn(this+\": booleans is empty, defaulting to no filtering\"):r.logger.warn(this+\": booleans was not set, defaulting to no filtering\"),null)}}t.BooleanFilter=g,g.__name__=\"BooleanFilter\",g.init_BooleanFilter()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),l=i.__importStar(e(18)),o=e(8),s=e(9),a=e(72);class f extends n.Model{constructor(e){super(e)}static init_Filter(){this.define({filter:[l.Array,null]})}compute_indices(e){const t=this.filter;return null!=t?o.isArrayOf(t,o.isBoolean)?s.range(0,t.length).filter(e=>!0===t[e]):o.isArrayOf(t,o.isInteger)?t:(a.logger.warn(this+\": filter should either be array of only booleans or only integers, defaulting to no filtering\"),null):(a.logger.warn(this+\": filter was not set to be an array, defaulting to no filtering\"),null)}}r.Filter=f,f.__name__=\"Filter\",f.init_Filter()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),r=t(200),n=i.__importStar(t(18)),u=t(17),c=t(24);class o extends r.Filter{constructor(t){super(t)}static init_CustomJSFilter(){this.define({args:[n.Any,{}],code:[n.String,\"\"]})}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const t=c.use_strict(this.code);return new Function(...this.names,\"source\",t)}compute_indices(t){return this.filter=this.func(...this.values,t),super.compute_indices(t)}}s.CustomJSFilter=o,o.__name__=\"CustomJSFilter\",o.init_CustomJSFilter()},\n",
+       "      function _(t,n,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),r=t(200),o=e.__importStar(t(18)),u=t(72),l=t(9);class s extends r.Filter{constructor(t){super(t),this.indices=null}static init_GroupFilter(){this.define({column_name:[o.String],group:[o.String]})}compute_indices(t){const n=t.get_column(this.column_name);return null==n?(u.logger.warn(\"group filter: groupby column not found in data source\"),null):(this.indices=l.range(0,t.get_length()||0).filter(t=>n[t]===this.group),0===this.indices.length&&u.logger.warn(`group filter: group '${this.group}' did not match any values in column '${this.column_name}'`),this.indices)}}i.GroupFilter=s,s.__name__=\"GroupFilter\",s.init_GroupFilter()},\n",
+       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),r=e(200),s=t.__importStar(e(18)),l=e(72),d=e(8),o=e(9);class c extends r.Filter{constructor(e){super(e)}static init_IndexFilter(){this.define({indices:[s.Array,null]})}compute_indices(e){return null!=this.indices?o.every(this.indices,d.isInteger)?this.indices:(l.logger.warn(this+\": indices should be array of integers, defaulting to no filtering\"),null):(l.logger.warn(this+\": indices was not set, defaulting to no filtering\"),null)}}n.IndexFilter=c,c.__name__=\"IndexFilter\",c.init_IndexFilter()},\n",
+       "      function _(r,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});var e=r(113);a.BasicTickFormatter=e.BasicTickFormatter;var c=r(154);a.CategoricalTickFormatter=c.CategoricalTickFormatter;var i=r(158);a.DatetimeTickFormatter=i.DatetimeTickFormatter;var o=r(205);a.FuncTickFormatter=o.FuncTickFormatter;var m=r(171);a.LogTickFormatter=m.LogTickFormatter;var F=r(174);a.MercatorTickFormatter=F.MercatorTickFormatter;var k=r(206);a.NumeralTickFormatter=k.NumeralTickFormatter;var T=r(207);a.PrintfTickFormatter=T.PrintfTickFormatter;var v=r(114);a.TickFormatter=v.TickFormatter},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),s=t(114),i=r.__importStar(t(18)),c=t(17),a=t(24);class u extends s.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map((t,e,r)=>n(t,e,r,...this.values))}}n.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n",
+       "      function _(r,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=r(1),o=e.__importStar(r(161)),a=r(114),i=e.__importStar(r(18));class u extends a.TickFormatter{constructor(r){super(r)}static init_NumeralTickFormatter(){this.define({format:[i.String,\"0,0\"],language:[i.String,\"en\"],rounding:[i.RoundingFunction,\"round\"]})}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,t){const{format:n,language:e,_rounding_fn:a}=this;return r.map(r=>o.format(r,n,e,a))}}n.NumeralTickFormatter=u,u.__name__=\"NumeralTickFormatter\",u.init_NumeralTickFormatter()},\n",
+       "      function _(t,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),n=t(114),o=t(160),a=e.__importStar(t(18));class c extends n.TickFormatter{constructor(t){super(t)}static init_PrintfTickFormatter(){this.define({format:[a.String,\"%s\"]})}doFormat(t,r){return t.map(t=>o.sprintf(this.format,t))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n",
+       "      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var v=a(209);r.AnnularWedge=v.AnnularWedge;var l=a(210);r.Annulus=l.Annulus;var t=a(211);r.Arc=t.Arc;var i=a(212);r.Bezier=i.Bezier;var n=a(213);r.Circle=n.Circle;var u=a(214);r.CenterRotatable=u.CenterRotatable;var c=a(215);r.Ellipse=c.Ellipse;var g=a(216);r.EllipseOval=g.EllipseOval;var A=a(89);r.Glyph=A.Glyph;var p=a(95);r.HArea=p.HArea;var s=a(217);r.HBar=s.HBar;var d=a(219);r.HexTile=d.HexTile;var R=a(220);r.Image=R.Image;var o=a(222);r.ImageRGBA=o.ImageRGBA;var y=a(223);r.ImageURL=y.ImageURL;var h=a(83);r.Line=h.Line;var m=a(225);r.MultiLine=m.MultiLine;var B=a(226);r.MultiPolygons=B.MultiPolygons;var P=a(227);r.Oval=P.Oval;var G=a(94);r.Patch=G.Patch;var H=a(228);r.Patches=H.Patches;var I=a(229);r.Quad=I.Quad;var L=a(230);r.Quadratic=L.Quadratic;var M=a(231);r.Ray=M.Ray;var O=a(232);r.Rect=O.Rect;var x=a(233);r.Segment=x.Segment;var C=a(234);r.Step=C.Step;var E=a(235);r.Text=E.Text;var Q=a(97);r.VArea=Q.VArea;var S=a(236);r.VBar=S.VBar;var T=a(237);r.Wedge=T.Wedge;var V=a(84);r.XYGlyph=V.XYGlyph},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),o=e(10),h=e(79);class u extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius,this._angle=new Float32Array(this._start_angle.length);for(let e=0,t=this._start_angle.length;e<t;e++)this._angle[e]=this._end_angle[e]-this._start_angle[e]}_render(e,t,{sx:s,sy:i,_start_angle:r,_angle:n,sinner_radius:a,souter_radius:_}){const o=this.model.properties.direction.value();for(const h of t)isNaN(s[h]+i[h]+a[h]+_[h]+r[h]+n[h])||(e.translate(s[h],i[h]),e.rotate(r[h]),e.moveTo(_[h],0),e.beginPath(),e.arc(0,0,_[h],0,n[h],o),e.rotate(n[h]),e.lineTo(a[h],0),e.arc(0,0,a[h],0,-n[h],!o),e.closePath(),e.rotate(-n[h]-r[h]),e.translate(-s[h],-i[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,h),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,h),e.stroke()))}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,a,_,u;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,_=i+this.max_outer_radius,a=r-this.max_outer_radius,u=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,_]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,o=s+this.max_outer_radius;[a,u]=this.renderer.yscale.r_invert(r,o)}const d=[];for(const e of this.index.indices({x0:n,x1:_,y0:a,y1:u})){const t=this.souter_radius[e]**2,s=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[_,o]=this.renderer.yscale.r_compute(r,this._y[e]),h=(n-a)**2+(_-o)**2;h<=t&&h>=s&&d.push([e,h])}const l=this.model.properties.direction.value(),c=[];for(const[e,i]of d){const r=Math.atan2(s-this.sy[e],t-this.sx[e]);o.angle_between(-r,-this._start_angle[e],-this._end_angle[e],l)&&c.push([e,i])}return h.Selection.from_hits(c)}draw_legend_for_index(e,t,s){n.generic_area_legend(this.visuals,e,t,s)}_scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+t*Math.cos(s),y:this.sy[e]+t*Math.sin(s)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}s.AnnularWedgeView=u,u.__name__=\"AnnularWedgeView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=u,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],inner_radius:[_.DistanceSpec],outer_radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.AnnularWedge=d,d.__name__=\"AnnularWedge\",d.init_AnnularWedge()},\n",
+       "      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(18)),_=s(28),u=s(79);class o extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius}_render(s,i,{sx:e,sy:t,sinner_radius:r,souter_radius:a}){for(const n of i)if(!isNaN(e[n]+t[n]+r[n]+a[n])){if(this.visuals.fill.doit){if(this.visuals.fill.set_vectorize(s,n),s.beginPath(),_.is_ie)for(const i of[!1,!0])s.arc(e[n],t[n],r[n],0,Math.PI,i),s.arc(e[n],t[n],a[n],Math.PI,0,!i);else s.arc(e[n],t[n],r[n],0,2*Math.PI,!0),s.arc(e[n],t[n],a[n],2*Math.PI,0,!1);s.fill()}this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),s.beginPath(),s.arc(e[n],t[n],r[n],0,2*Math.PI),s.moveTo(e[n]+a[n],t[n]),s.arc(e[n],t[n],a[n],0,2*Math.PI),s.stroke())}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,_,o;if(\"data\"==this.model.properties.outer_radius.units)a=t-this.max_outer_radius,_=t+this.max_outer_radius,n=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const s=i-this.max_outer_radius,t=i+this.max_outer_radius;[a,_]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_outer_radius,u=e+this.max_outer_radius;[n,o]=this.renderer.yscale.r_invert(r,u)}const h=[];for(const s of this.index.indices({x0:a,x1:_,y0:n,y1:o})){const i=this.souter_radius[s]**2,e=this.sinner_radius[s]**2,[a,n]=this.renderer.xscale.r_compute(t,this._x[s]),[_,u]=this.renderer.yscale.r_compute(r,this._y[s]),o=(a-n)**2+(_-u)**2;o<=i&&o>=e&&h.push([s,o])}return u.Selection.from_hits(h)}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,_=new Array(n);_[a]=(i+t)/2;const u=new Array(n);u[a]=(e+r)/2;const o=.5*Math.min(Math.abs(t-i),Math.abs(r-e)),h=new Array(n);h[a]=.4*o;const d=new Array(n);d[a]=.8*o,this._render(s,[a],{sx:_,sy:u,sinner_radius:h,souter_radius:d})}}e.AnnulusView=o,o.__name__=\"AnnulusView\";class h extends r.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=o,this.mixins([a.LineVector,a.FillVector]),this.define({inner_radius:[n.DistanceSpec],outer_radius:[n.DistanceSpec]})}}e.Annulus=h,h.__name__=\"Annulus\",h.init_Annulus()},\n",
+       "      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(1),r=e(84),n=e(92),a=e(23),_=t.__importStar(e(18));class c extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,i,{sx:s,sy:t,sradius:r,_start_angle:n,_end_angle:a}){if(this.visuals.line.doit){const _=this.model.properties.direction.value();for(const c of i)isNaN(s[c]+t[c]+r[c]+n[c]+a[c])||(e.beginPath(),e.arc(s[c],t[c],r[c],n[c],a[c],_),this.visuals.line.set_vectorize(e,c),e.stroke())}}draw_legend_for_index(e,i,s){n.generic_line_legend(this.visuals,e,i,s)}}s.ArcView=c,c.__name__=\"ArcView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=c,this.mixins(a.LineVector),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.Arc=d,d.__name__=\"Arc\",d.init_Arc()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),n=t(85),c=t(89),o=t(92);function r(t,e,i,s,n,c,o,r){const h=[],_=[[],[]];for(let _=0;_<=2;_++){let a,x,l;if(0===_?(x=6*t-12*i+6*n,a=-3*t+9*i-9*n+3*o,l=3*i-3*t):(x=6*e-12*s+6*c,a=-3*e+9*s-9*c+3*r,l=3*s-3*e),Math.abs(a)<1e-12){if(Math.abs(x)<1e-12)continue;const t=-l/x;0<t&&t<1&&h.push(t);continue}const y=x*x-4*l*a,u=Math.sqrt(y);if(y<0)continue;const d=(-x+u)/(2*a);0<d&&d<1&&h.push(d);const f=(-x-u)/(2*a);0<f&&f<1&&h.push(f)}let a=h.length;const x=a;for(;a--;){const x=h[a],l=1-x,y=l*l*l*t+3*l*l*x*i+3*l*x*x*n+x*x*x*o;_[0][a]=y;const u=l*l*l*e+3*l*l*x*s+3*l*x*x*c+x*x*x*r;_[1][a]=u}return _[0][x]=t,_[1][x]=e,_[0][x+1]=o,_[1][x+1]=r,[Math.min(..._[0]),Math.max(..._[1]),Math.max(..._[0]),Math.min(..._[1])]}class h extends c.GlyphView{_index_data(){const t=[];for(let e=0,i=this._x0.length;e<i;e++){if(isNaN(this._x0[e]+this._x1[e]+this._y0[e]+this._y1[e]+this._cx0[e]+this._cy0[e]+this._cx1[e]+this._cy1[e]))continue;const[i,s,n,c]=r(this._x0[e],this._y0[e],this._x1[e],this._y1[e],this._cx0[e],this._cy0[e],this._cx1[e],this._cy1[e]);t.push({x0:i,y0:s,x1:n,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sx0:i,sy0:s,sx1:n,sy1:c,scx0:o,scy0:r,scx1:h,scy1:_}){if(this.visuals.line.doit)for(const a of e)isNaN(i[a]+s[a]+n[a]+c[a]+o[a]+r[a]+h[a]+_[a])||(t.beginPath(),t.moveTo(i[a],s[a]),t.bezierCurveTo(o[a],r[a],h[a],_[a],n[a],c[a]),this.visuals.line.set_vectorize(t,a),t.stroke())}draw_legend_for_index(t,e,i){o.generic_line_legend(this.visuals,t,e,i)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}i.BezierView=h,h.__name__=\"BezierView\";class _ extends c.Glyph{constructor(t){super(t)}static init_Bezier(){this.prototype.default_view=h,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx0\",\"cy0\"],[\"cx1\",\"cy1\"]]),this.mixins(s.LineVector)}}i.Bezier=_,_.__name__=\"Bezier\",_.init_Bezier()},\n",
+       "      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(93)),h=t.__importStar(s(18)),d=s(9),_=s(12),l=s(79);class c extends r.XYGlyphView{_map_data(){if(null!=this._radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this._radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.max(s,i[e]));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.min(s,i[e]));break}}else this.sradius=this._radius,this.max_size=2*this.max_radius;else this.sradius=_.map(this._size,s=>s/2)}_mask_data(){const[s,i]=this.renderer.plot_view.frame.bbox.ranges;let e,t,r,a;if(null!=this._radius&&\"data\"==this.model.properties.radius.units){const n=s.start,h=s.end;[e,r]=this.renderer.xscale.r_invert(n,h),e-=this.max_radius,r+=this.max_radius;const d=i.start,_=i.end;[t,a]=this.renderer.yscale.r_invert(d,_),t-=this.max_radius,a+=this.max_radius}else{const n=s.start-this.max_size,h=s.end+this.max_size;[e,r]=this.renderer.xscale.r_invert(n,h);const d=i.start-this.max_size,_=i.end+this.max_size;[t,a]=this.renderer.yscale.r_invert(d,_)}return this.index.indices({x0:e,x1:r,y0:t,y1:a})}_render(s,i,{sx:e,sy:t,sradius:r}){for(const a of i)isNaN(e[a]+t[a]+r[a])||(s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,a),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.stroke()))}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,h,d;if(null!=this._radius&&\"data\"==this.model.properties.radius.units)a=t-this.max_radius,n=t+this.max_radius,h=r-this.max_radius,d=r+this.max_radius;else{const s=i-this.max_size,t=i+this.max_size;[a,n]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size,_=e+this.max_size;[h,d]=this.renderer.yscale.r_invert(r,_)}const _=this.index.indices({x0:a,x1:n,y0:h,y1:d}),c=[];if(null!=this._radius&&\"data\"==this.model.properties.radius.units)for(const s of _){const i=this.sradius[s]**2,[e,a]=this.renderer.xscale.r_compute(t,this._x[s]),[n,h]=this.renderer.yscale.r_compute(r,this._y[s]),d=(e-a)**2+(n-h)**2;d<=i&&c.push([s,d])}else for(const s of _){const t=this.sradius[s]**2,r=(this.sx[s]-i)**2+(this.sy[s]-e)**2;r<=t&&c.push([s,r])}return l.Selection.from_hits(c)}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=this.index.indices({x0:r,x1:a,y0:n,y1:h});return new l.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),_=this.index.indices({x0:a,x1:n,y0:h,y1:d});return new l.Selection({indices:_})}_hit_poly(s){const{sx:i,sy:e}=s,t=d.range(0,this.sx.length),r=[];for(let s=0,a=t.length;s<a;s++){const a=t[s];n.point_in_poly(this.sx[s],this.sy[s],i,e)&&r.push(a)}return new l.Selection({indices:r})}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,h=new Array(n);h[a]=(i+t)/2;const d=new Array(n);d[a]=(e+r)/2;const _=new Array(n);_[a]=.2*Math.min(Math.abs(t-i),Math.abs(r-e)),this._render(s,[a],{sx:h,sy:d,sradius:_})}}e.CircleView=c,c.__name__=\"CircleView\";class o extends r.XYGlyph{constructor(s){super(s)}static init_Circle(){this.prototype.default_view=c,this.mixins([a.LineVector,a.FillVector]),this.define({angle:[h.AngleSpec,0],size:[h.DistanceSpec,{units:\"screen\",value:4}],radius:[h.DistanceSpec,void 0,{optional:!0}],radius_dimension:[h.RadiusDimension,\"x\"]})}}e.Circle=o,o.__name__=\"Circle\",o.init_Circle()},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=e(1),i=e(84),l=e(23),s=a.__importStar(e(18));class c extends i.XYGlyphView{}n.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class o extends i.XYGlyph{constructor(e){super(e)}static init_CenterRotatable(){this.mixins([l.LineVector,l.FillVector]),this.define({angle:[s.AngleSpec,0],width:[s.DistanceSpec],height:[s.DistanceSpec]})}}n.CenterRotatable=o,o.__name__=\"CenterRotatable\",o.init_CenterRotatable()},\n",
+       "      function _(e,l,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(216);class t extends s.EllipseOvalView{}i.EllipseView=t,t.__name__=\"EllipseView\";class _ extends s.EllipseOval{constructor(e){super(e)}static init_Ellipse(){this.prototype.default_view=t}}i.Ellipse=_,_.__name__=\"Ellipse\",_.init_Ellipse()},\n",
+       "      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),h=t(214),r=e.__importStar(t(93)),a=t(79);class _ extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"):this.sw=this._width,\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"):this.sh=this._height}_render(t,s,{sx:i,sy:e,sw:h,sh:r,_angle:a}){for(const _ of s)isNaN(i[_]+e[_]+h[_]+r[_]+a[_])||(t.beginPath(),t.ellipse(i[_],e[_],h[_]/2,r[_]/2,a[_],0,2*Math.PI),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,_),t.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,_),t.stroke()))}_hit_point(t){let s,i,e,h,_,n,l,d,o,x;const{sx:m,sy:c}=t,w=this.renderer.xscale.invert(m),p=this.renderer.yscale.invert(c);\"data\"==this.model.properties.width.units?(s=w-this.max_width,i=w+this.max_width):(l=m-this.max_width,d=m+this.max_width,[s,i]=this.renderer.xscale.r_invert(l,d)),\"data\"==this.model.properties.height.units?(e=p-this.max_height,h=p+this.max_height):(o=c-this.max_height,x=c+this.max_height,[e,h]=this.renderer.yscale.r_invert(o,x));const y=this.index.indices({x0:s,x1:i,y0:e,y1:h}),u=[];for(const t of y)_=r.point_in_ellipse(m,c,this._angle[t],this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),_&&([l,d]=this.renderer.xscale.r_compute(w,this._x[t]),[o,x]=this.renderer.yscale.r_compute(p,this._y[t]),n=(l-d)**2+(o-x)**2,u.push([t,n]));return a.Selection.from_hits(u)}draw_legend_for_index(t,{x0:s,y0:i,x1:e,y1:h},r){const a=r+1,_=new Array(a);_[r]=(s+e)/2;const n=new Array(a);n[r]=(i+h)/2;const l=this.sw[r]/this.sh[r],d=.8*Math.min(Math.abs(e-s),Math.abs(h-i)),o=new Array(a),x=new Array(a);l>1?(o[r]=d,x[r]=d/l):(o[r]=d*l,x[r]=d),this._render(t,[r],{sx:_,sy:n,sw:o,sh:x,_angle:[0]})}_bounds({x0:t,x1:s,y0:i,y1:e}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:i-this.max_h2,y1:e+this.max_h2}}}i.EllipseOvalView=_,_.__name__=\"EllipseOvalView\";class n extends h.CenterRotatable{constructor(t){super(t)}}i.EllipseOval=n,n.__name__=\"EllipseOval\"},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class _ extends h.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return this.sy[t]}_index_data(){return this._index_box(this._y.length)}_lrtb(t){return[Math.min(this._left[t],this._right[t]),Math.max(this._left[t],this._right[t]),this._y[t]+.5*this._height[t],this._y[t]-.5*this._height[t]]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new Float64Array(t),this.sbottom=new Float64Array(t);for(let s=0;s<t;s++)this.stop[s]=this.sy[s]-this.sh[s]/2,this.sbottom[s]=this.sy[s]+this.sh[s]/2;this._clamp_viewport()}}e.HBarView=_,_.__name__=\"HBarView\";class a extends h.Box{constructor(t){super(t)}static init_HBar(){this.prototype.default_view=_,this.coords([[\"left\",\"y\"]]),this.define({height:[r.NumberSpec],right:[r.CoordinateSpec]}),this.override({left:0})}}e.HBar=a,a.__name__=\"HBar\",a.init_HBar()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),r=t(85),n=t(89),h=t(92),o=t(79);class a extends n.GlyphView{get_anchor_point(t,e,i){const s=Math.min(this.sleft[e],this.sright[e]),r=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),h=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:s,y:n};case\"top_center\":return{x:(s+r)/2,y:n};case\"top_right\":return{x:r,y:n};case\"bottom_left\":return{x:s,y:h};case\"bottom_center\":return{x:(s+r)/2,y:h};case\"bottom_right\":return{x:r,y:h};case\"center_left\":return{x:s,y:(n+h)/2};case\"center\":return{x:(s+r)/2,y:(n+h)/2};case\"center_right\":return{x:r,y:(n+h)/2};default:return null}}_index_box(t){const e=[];for(let i=0;i<t;i++){const[t,s,r,n]=this._lrtb(i);!isNaN(t+s+r+n)&&isFinite(t+s+r+n)&&e.push({x0:Math.min(t,s),y0:Math.min(r,n),x1:Math.max(s,t),y1:Math.max(r,n),i})}return new r.SpatialIndex(e)}_render(t,e,{sleft:i,sright:s,stop:r,sbottom:n}){for(const h of e)isNaN(i[h]+r[h]+s[h]+n[h])||(t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()),this.visuals.hatch.doit2(t,h,()=>{t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.stroke()))}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,i=this.stop.length;for(let s=0;s<i;s++)this.stop[s]=Math.max(this.stop[s],e.start),this.sbottom[s]=Math.min(this.sbottom[s],e.end),this.sleft[s]=Math.max(this.sleft[s],t.start),this.sright[s]=Math.min(this.sright[s],t.end)}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){const{sx:e,sy:i}=t,s=this.renderer.xscale.invert(e),r=this.renderer.yscale.invert(i),n=this.index.indices({x0:s,y0:r,x1:s,y1:r});return new o.Selection({indices:n})}_hit_span(t){const{sx:e,sy:i}=t;let s;if(\"v\"==t.direction){const t=this.renderer.yscale.invert(i),e=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(e.start,e.end);s=this.index.indices({x0:r,y0:t,x1:n,y1:t})}else{const t=this.renderer.xscale.invert(e),i=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(i.start,i.end);s=this.index.indices({x0:t,y0:r,x1:t,y1:n})}return new o.Selection({indices:s})}draw_legend_for_index(t,e,i){h.generic_area_legend(this.visuals,t,e,i)}}i.BoxView=a,a.__name__=\"BoxView\";class c extends n.Glyph{constructor(t){super(t)}static init_Box(){this.mixins([s.LineVector,s.FillVector,s.HatchVector])}}i.Box=c,c.__name__=\"Box\",c.init_Box()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(89),n=i.__importStar(e(93)),o=i.__importStar(e(18)),a=e(23),l=e(85),h=e(92),c=e(79);class _ extends r.GlyphView{scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}_set_data(){const e=this._q.length,t=this.model.size,s=this.model.aspect_scale;if(this._x=new Float64Array(e),this._y=new Float64Array(e),\"pointytop\"==this.model.orientation)for(let i=0;i<e;i++)this._x[i]=t*Math.sqrt(3)*(this._q[i]+this._r[i]/2)/s,this._y[i]=3*-t/2*this._r[i];else for(let i=0;i<e;i++)this._x[i]=3*t/2*this._q[i],this._y[i]=-t*Math.sqrt(3)*(this._r[i]+this._q[i]/2)*s}_index_data(){let e=this.model.size,t=Math.sqrt(3)*e/2;\"flattop\"==this.model.orientation?([t,e]=[e,t],e*=this.model.aspect_scale):t/=this.model.aspect_scale;const s=[];for(let i=0;i<this._x.length;i++){const r=this._x[i],n=this._y[i];!isNaN(r+n)&&isFinite(r+n)&&s.push({x0:r-t,y0:n-e,x1:r+t,y1:n+e,i})}return new l.SpatialIndex(s)}map_data(){[this.sx,this.sy]=this.map_to_screen(this._x,this._y),[this.svx,this.svy]=this._get_unscaled_vertices()}_get_unscaled_vertices(){const e=this.model.size,t=this.model.aspect_scale;if(\"pointytop\"==this.model.orientation){const s=this.renderer.yscale,i=this.renderer.xscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))/t,o=r/2;return[[0,-n,-n,0,n,n],[r,o,-o,-r,-o,o]]}{const s=this.renderer.xscale,i=this.renderer.yscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))*t,o=r/2;return[[r,o,-o,-r,-o,o],[0,-n,-n,0,n,n]]}}_render(e,t,{sx:s,sy:i,svx:r,svy:n,_scale:o}){for(const a of t)if(!isNaN(s[a]+i[a]+o[a])){e.translate(s[a],i[a]),e.beginPath();for(let t=0;t<6;t++)e.lineTo(r[t]*o[a],n[t]*o[a]);e.closePath(),e.translate(-s[a],-i[a]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,a),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,a),e.stroke())}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s),o=this.index.indices({x0:i,y0:r,x1:i,y1:r}),a=[];for(const e of o)n.point_in_poly(t-this.sx[e],s-this.sy[e],this.svx,this.svy)&&a.push(e);return new c.Selection({indices:a})}_hit_span(e){const{sx:t,sy:s}=e;let i;if(\"v\"==e.direction){const e=this.renderer.yscale.invert(s),t=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(t.start,t.end);i=this.index.indices({x0:r,y0:e,x1:n,y1:e})}else{const e=this.renderer.xscale.invert(t),s=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(s.start,s.end);i=this.index.indices({x0:e,y0:r,x1:e,y1:n})}return new c.Selection({indices:i})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:r}=e,[n,o]=this.renderer.xscale.r_invert(t,s),[a,l]=this.renderer.yscale.r_invert(i,r),h=this.index.indices({x0:n,x1:o,y0:a,y1:l});return new c.Selection({indices:h})}draw_legend_for_index(e,t,s){h.generic_area_legend(this.visuals,e,t,s)}}s.HexTileView=_,_.__name__=\"HexTileView\";class d extends r.Glyph{constructor(e){super(e)}static init_HexTile(){this.prototype.default_view=_,this.coords([[\"r\",\"q\"]]),this.mixins([a.LineVector,a.FillVector]),this.define({size:[o.Number,1],aspect_scale:[o.Number,1],scale:[o.NumberSpec,1],orientation:[o.HexTileOrientation,\"pointytop\"]}),this.override({line_color:null})}}s.HexTile=d,d.__name__=\"HexTile\",d.init_HexTile()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(1),i=e(221),n=e(115),s=_.__importStar(e(18));class r extends i.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,()=>this._update_image())}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.plot_view.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}a.ImageView=r,r.__name__=\"ImageView\";class o extends i.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=r,this.define({color_mapper:[s.Instance,()=>new n.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})}}a.Image=o,o.__name__=\"Image\",o.init_Image()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(84),h=s.__importStar(e(18)),n=e(79),_=e(85),r=e(9),d=e(26);class l extends a.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_render(e,t,{image_data:i,sx:s,sy:a,sw:h,sh:n}){const _=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const _ of t){if(null==i[_]||isNaN(s[_]+a[_]+h[_]+n[_]))continue;const t=a[_];e.translate(0,t),e.scale(1,-1),e.translate(0,-t),e.drawImage(i[_],0|s[_],0|a[_],h[_],n[_]),e.translate(0,t),e.scale(1,-1),e.translate(0,-t)}e.setImageSmoothingEnabled(_)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this._image.length;t<i;t++){if(null!=e&&e.indexOf(t)<0)continue;const i=this._image[t];let s;d.is_NDArray(i)?(s=i,this._height[t]=i.shape[0],this._width[t]=i.shape[1]):(s=r.concat(i),this._height[t]=i.length,this._width[t]=i[0].length);const a=this._flat_img_to_buf8(s);this._set_image_data_from_buffer(t,a)}}_index_data(){const e=[];for(let t=0,i=this._x.length;t<i;t++){const[i,s,a,h]=this._lrtb(t);!isNaN(i+s+a+h)&&isFinite(i+s+a+h)&&e.push({x0:i,y0:h,x1:s,y1:a,i:t})}return new _.SpatialIndex(e)}_lrtb(e){const t=this.renderer.xscale.source_range,i=this._x[e],s=t.is_reversed?i-this._dw[e]:i+this._dw[e],a=this.renderer.yscale.source_range,h=this._y[e],n=a.is_reversed?h-this._dh[e]:h+this._dh[e],[_,r]=i<s?[i,s]:[s,i],[d,l]=h<n?[h,n]:[n,h];return[_,r,l,d]}_set_width_heigh_data(){null!=this.image_data&&this.image_data.length==this._image.length||(this.image_data=new Array(this._image.length)),null!=this._width&&this._width.length==this._image.length||(this._width=new Array(this._image.length)),null!=this._height&&this._height.length==this._image.length||(this._height=new Array(this._image.length))}_get_or_create_canvas(e){const t=this.image_data[e];if(null!=t&&t.width==this._width[e]&&t.height==this._height[e])return t;{const t=document.createElement(\"canvas\");return t.width=this._width[e],t.height=this._height[e],t}}_set_image_data_from_buffer(e,t){const i=this._get_or_create_canvas(e),s=i.getContext(\"2d\"),a=s.getImageData(0,0,this._width[e],this._height[e]);a.data.set(t),s.putImageData(a,0,0),this.image_data[e]=i}_map_data(){switch(this.model.properties.dw.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,this._dw,\"edge\",this.model.dilate);break;case\"screen\":this.sw=this._dw}switch(this.model.properties.dh.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,this._dh,\"edge\",this.model.dilate);break;case\"screen\":this.sh=this._dh}}_image_index(e,t,i){const[s,a,h,n]=this._lrtb(e),_=this._width[e],r=this._height[e],d=(a-s)/_,l=(h-n)/r;let g=Math.floor((t-s)/d),o=Math.floor((i-n)/l);return this.renderer.xscale.source_range.is_reversed&&(g=_-g-1),this.renderer.yscale.source_range.is_reversed&&(o=r-o-1),{index:e,dim1:g,dim2:o,flat_index:o*_+g}}_hit_point(e){const{sx:t,sy:i}=e,s=this.renderer.xscale.invert(t),a=this.renderer.yscale.invert(i),h=this.index.indices({x0:s,x1:s,y0:a,y1:a}),_=new n.Selection;for(const e of h)t!=1/0&&i!=1/0&&_.image_indices.push(this._image_index(e,s,a));return _}}i.ImageBaseView=l,l.__name__=\"ImageBaseView\";class g extends a.XYGlyph{constructor(e){super(e)}static init_ImageBase(){this.define({image:[h.NumberSpec],dw:[h.DistanceSpec],dh:[h.DistanceSpec],dilate:[h.Boolean,!1],global_alpha:[h.Number,1]})}}i.ImageBase=g,g.__name__=\"ImageBase\",g.init_ImageBase()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(221),i=e(8);class n extends _.ImageBaseView{_flat_img_to_buf8(e){let t;return t=i.isArray(e)?new Uint32Array(e):e,new Uint8Array(t.buffer)}}a.ImageRGBAView=n,n.__name__=\"ImageRGBAView\";class r extends _.ImageBase{constructor(e){super(e)}static init_ImageRGBA(){this.prototype.default_view=n}}a.ImageRGBA=r,r.__name__=\"ImageRGBA\",r.init_ImageRGBA()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),a=i.__importStar(e(18)),n=e(12),h=e(85),l=e(224);class _ extends r.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1}initialize(){super.initialize(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_index_data(){return new h.SpatialIndex([])}_set_data(){null!=this.image&&this.image.length==this._url.length||(this.image=n.map(this._url,()=>null));const{retry_attempts:e,retry_timeout:t}=this.model;for(let s=0,i=this._url.length;s<i;s++){const i=this._url[s];null!=i&&\"\"!=i&&new l.ImageLoader(i,{loaded:e=>{this.image[s]=e,this.renderer.request_render()},attempts:e+1,timeout:t})}const s=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,r=this._x.length,a=new Array(s?2*r:r),h=new Array(i?2*r:r);for(let e=0;e<r;e++)a[e]=this._x[e],h[e]=this._y[e];if(s)for(let e=0;e<r;e++)a[r+e]=this._x[e]+this._w[e];if(i)for(let e=0;e<r;e++)h[r+e]=this._y[e]+this._h[e];const _=n.min(a),o=n.max(a),d=n.min(h),c=n.max(h);this._bounds_rect={x0:_,x1:o,y0:d,y1:c}}has_finished(){return super.has_finished()&&1==this._images_rendered}_map_data(){const e=null!=this.model.w?this._w:n.map(this._x,()=>NaN),t=null!=this.model.h?this._h:n.map(this._x,()=>NaN);switch(this.model.properties.w.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,e,\"edge\",this.model.dilate);break;case\"screen\":this.sw=e}switch(this.model.properties.h.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,t,\"edge\",this.model.dilate);break;case\"screen\":this.sh=t}}_render(e,t,{image:s,sx:i,sy:r,sw:a,sh:n,_angle:h}){const{frame:l}=this.renderer.plot_view;e.rect(l._left.value+1,l._top.value+1,l._width.value-2,l._height.value-2),e.clip();let _=!0;for(const l of t){if(isNaN(i[l]+r[l]+h[l]))continue;const t=s[l];null!=t?this._render_image(e,l,t,i,r,a,n,h):_=!1}_&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,i,r){switch(e){case\"top_left\":return[t,s];case\"top_center\":return[t-i/2,s];case\"top_right\":return[t-i,s];case\"center_right\":return[t-i,s-r/2];case\"bottom_right\":return[t-i,s-r];case\"bottom_center\":return[t-i/2,s-r];case\"bottom_left\":return[t,s-r];case\"center_left\":return[t,s-r/2];case\"center\":return[t-i/2,s-r/2]}}_render_image(e,t,s,i,r,a,n,h){isNaN(a[t])&&(a[t]=s.width),isNaN(n[t])&&(n[t]=s.height);const{anchor:l}=this.model,[_,o]=this._final_sx_sy(l,i[t],r[t],a[t],n[t]);e.save(),e.globalAlpha=this.model.global_alpha;const d=a[t]/2,c=n[t]/2;h[t]?(e.translate(_,o),e.translate(d,c),e.rotate(h[t]),e.translate(-d,-c),e.drawImage(s,0,0,a[t],n[t]),e.translate(d,c),e.rotate(-h[t]),e.translate(-d,-c),e.translate(-_,-o)):e.drawImage(s,_,o,a[t],n[t]),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=_,_.__name__=\"ImageURLView\";class o extends r.XYGlyph{constructor(e){super(e)}static init_ImageURL(){this.prototype.default_view=_,this.define({url:[a.StringSpec],anchor:[a.Anchor,\"top_left\"],global_alpha:[a.Number,1],angle:[a.AngleSpec,0],w:[a.DistanceSpec],h:[a.DistanceSpec],dilate:[a.Boolean,!1],retry_attempts:[a.Number,0],retry_timeout:[a.Number,0]})}}s.ImageURL=o,o.__name__=\"ImageURL\",o.init_ImageURL()},\n",
+       "      function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(72);class a{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:a=1}=e;this.promise=new Promise((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const a=`unable to load ${i} image after ${t} attempts`;if(s.logger.warn(a),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());s.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout(()=>this._image.src=i,a)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i})}get finished(){return this._finished}get image(){return this._image}}t.ImageLoader=a,a.__name__=\"ImageLoader\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(85),l=t(23),o=i.__importStar(t(93)),r=t(9),h=t(17),_=t(89),c=t(92),a=t(79);class x extends _.GlyphView{_index_data(){const t=[];for(let e=0,s=this._xs.length;e<s;e++){if(null==this._xs[e]||0===this._xs[e].length)continue;const s=this._xs[e],i=[];for(let t=0,e=s.length;t<e;t++){const e=s[t];isNaN(e)||i.push(e)}const n=this._ys[e],l=[];for(let t=0,e=n.length;t<e;t++){const e=n[t];isNaN(e)||l.push(e)}const[o,h]=[r.min(i),r.max(i)],[_,c]=[r.min(l),r.max(l)];t.push({x0:o,y0:_,x1:h,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sxs:s,sys:i}){for(const n of e){const[e,l]=[s[n],i[n]];this.visuals.line.set_vectorize(t,n);for(let s=0,i=e.length;s<i;s++)0!=s?isNaN(e[s])||isNaN(l[s])?(t.stroke(),t.beginPath()):t.lineTo(e[s],l[s]):(t.beginPath(),t.moveTo(e[s],l[s]));t.stroke()}}_hit_point(t){const e={x:t.sx,y:t.sy};let s=9999;const i=new Map;for(let t=0,n=this.sxs.length;t<n;t++){const n=Math.max(2,this.visuals.line.cache_select(\"line_width\",t)/2);let l=null;for(let i=0,r=this.sxs[t].length-1;i<r;i++){const r={x:this.sxs[t][i],y:this.sys[t][i]},h={x:this.sxs[t][i+1],y:this.sys[t][i+1]},_=o.dist_to_segment(e,r,h);_<n&&_<s&&(s=_,l=[i])}null!=l&&i.set(t,l)}return new a.Selection({indices:[...i.keys()],multiline_indices:h.to_object(i)})}_hit_span(t){const{sx:e,sy:s}=t;let i,n;\"v\"===t.direction?(i=this.renderer.yscale.invert(s),n=this._ys):(i=this.renderer.xscale.invert(e),n=this._xs);const l=new Map;for(let t=0,e=n.length;t<e;t++){const e=[];for(let s=0,l=n[t].length-1;s<l;s++)n[t][s]<=i&&i<=n[t][s+1]&&e.push(s);e.length>0&&l.set(t,e)}return new a.Selection({indices:[...l.keys()],multiline_indices:h.to_object(l)})}get_interpolation_hit(t,e,s){const[i,n,l,o]=[this._xs[t][e],this._ys[t][e],this._xs[t][e+1],this._ys[t][e+1]];return c.line_interpolation(this.renderer,s,i,n,l,o)}draw_legend_for_index(t,e,s){c.generic_line_legend(this.visuals,t,e,s)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}s.MultiLineView=x,x.__name__=\"MultiLineView\";class u extends _.Glyph{constructor(t){super(t)}static init_MultiLine(){this.prototype.default_view=x,this.coords([[\"xs\",\"ys\"]]),this.mixins(l.LineVector)}}s.MultiLine=u,u.__name__=\"MultiLine\",u.init_MultiLine()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(85),r=e(89),o=e(92),l=e(9),h=e(12),_=e(23),a=i.__importStar(e(93)),c=e(79),d=e(8),x=e(11);class y extends r.GlyphView{_index_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++){const i=this._xs[t][s][0],n=this._ys[t][s][0];0!=i.length&&e.push({x0:l.min(i),y0:l.min(n),x1:l.max(i),y1:l.max(n),i:t})}return this.hole_index=this._index_hole_data(),new n.SpatialIndex(e)}_index_hole_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++)if(this._xs[t][s].length>1)for(let i=1,n=this._xs[t][s].length;i<n;i++){const n=this._xs[t][s][i],r=this._ys[t][s][i];0!=n.length&&e.push({x0:l.min(n),y0:l.min(r),x1:l.max(n),y1:l.max(r),i:t})}return new n.SpatialIndex(e)}_mask_data(){const e=this.renderer.plot_view.frame.x_ranges.default,[t,s]=[e.min,e.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:s,y0:n,y1:r}).sort((e,t)=>e-t).filter((e,t,s)=>0===t||e!==s[t-1])}_inner_loop(e,t,s){e.beginPath();for(let i=0,n=t.length;i<n;i++)for(let n=0,r=t[i].length;n<r;n++){const r=t[i][n],o=s[i][n];for(let t=0,s=r.length;t<s;t++)0!=t?e.lineTo(r[t],o[t]):e.moveTo(r[t],o[t]);e.closePath()}}_render(e,t,{sxs:s,sys:i}){if(this.visuals.fill.doit||this.visuals.line.doit)for(const n of t){const[t,r]=[s[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,n),this._inner_loop(e,t,r),e.fill(\"evenodd\")),this.visuals.hatch.doit2(e,n,()=>{this._inner_loop(e,t,r),e.fill(\"evenodd\")},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,n),this._inner_loop(e,t,r),e.stroke())}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],o=[i,i,n,n],[l,h]=this.renderer.xscale.r_invert(t,s),[_,d]=this.renderer.yscale.r_invert(i,n),x=this.index.indices({x0:l,x1:h,y0:_,y1:d}),y=[];for(let e=0,t=x.length;e<t;e++){const t=x[e],s=this.sxs[t],i=this.sys[t];let n=!0;for(let e=0,t=s.length;e<t;e++){for(let t=0,l=s[e][0].length;t<l;t++){const l=s[e][0][t],h=i[e][0][t];if(!a.point_in_poly(l,h,r,o)){n=!1;break}}if(!n)break}n&&y.push(t)}return new c.Selection({indices:y})}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(s),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=this.hole_index.indices({x0:i,y0:n,x1:i,y1:n}),l=[];for(let e=0,i=r.length;e<i;e++){const i=r[e],n=this.sxs[i],h=this.sys[i];for(let e=0,r=n.length;e<r;e++){const r=n[e].length;if(a.point_in_poly(t,s,n[e][0],h[e][0]))if(1==r)l.push(i);else if(-1==o.indexOf(i))l.push(i);else if(r>1){let o=!1;for(let i=1;i<r;i++){const r=n[e][i],l=h[e][i];if(a.point_in_poly(t,s,r,l)){o=!0;break}}o||l.push(i)}}}return new c.Selection({indices:l})}_get_snap_coord(e){return h.sum(e)/e.length}scenterx(e,t,s){if(1==this.sxs[e].length)return this._get_snap_coord(this.sxs[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(i[e][0])}x.unreachable()}scentery(e,t,s){if(1==this.sys[e].length)return this._get_snap_coord(this.sys[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(n[e][0])}x.unreachable()}map_data(){const e=this;for(let[t,s]of this.model._coords){const i=\"s\"+t,n=\"s\"+s;if(t=\"_\"+t,s=\"_\"+s,null!=e[t]&&(d.isArray(e[t][0])||d.isTypedArray(e[t][0]))){const r=e[t].length;e[i]=new Array(r),e[n]=new Array(r);for(let o=0;o<r;o++){const r=e[t][o].length;e[i][o]=new Array(r),e[n][o]=new Array(r);for(let l=0;l<r;l++){const r=e[t][o][l].length;e[i][o][l]=new Array(r),e[n][o][l]=new Array(r);for(let h=0;h<r;h++){const[r,_]=this.map_to_screen(e[t][o][l][h],e[s][o][l][h]);e[i][o][l][h]=r,e[n][o][l][h]=_}}}}}}draw_legend_for_index(e,t,s){o.generic_area_legend(this.visuals,e,t,s)}}s.MultiPolygonsView=y,y.__name__=\"MultiPolygonsView\";class f extends r.Glyph{constructor(e){super(e)}static init_MultiPolygons(){this.prototype.default_view=y,this.coords([[\"xs\",\"ys\"]]),this.mixins([_.LineVector,_.FillVector,_.HatchVector])}}s.MultiPolygons=f,f.__name__=\"MultiPolygons\",f.init_MultiPolygons()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const l=e(216);class s extends l.EllipseOvalView{_map_data(){super._map_data();const{sw:e}=this,t=e.length;for(let a=0;a<t;a++)e[a]*=.75}}a.OvalView=s,s.__name__=\"OvalView\";class _ extends l.EllipseOval{constructor(e){super(e)}static init_Oval(){this.prototype.default_view=s}}a.Oval=_,_.__name__=\"Oval\",_.init_Oval()},\n",
+       "      function _(s,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=s(1),n=s(85),r=s(89),o=s(92),l=s(9),_=s(12),h=s(23),c=i.__importStar(s(93)),a=s(79),d=s(11);class u extends r.GlyphView{_build_discontinuous_object(s){const t=[];for(let e=0,i=s.length;e<i;e++){t[e]=[];let i=l.copy(s[e]);for(;i.length>0;){const s=l.find_last_index(i,s=>isNaN(s));let n;s>=0?n=i.splice(s):(n=i,i=[]);const r=n.filter(s=>!isNaN(s));t[e].push(r)}}return t}_index_data(){const s=this._build_discontinuous_object(this._xs),t=this._build_discontinuous_object(this._ys),e=[];for(let i=0,n=this._xs.length;i<n;i++)for(let n=0,r=s[i].length;n<r;n++){const r=s[i][n],o=t[i][n];0!=r.length&&e.push({x0:l.min(r),y0:l.min(o),x1:l.max(r),y1:l.max(o),i})}return new n.SpatialIndex(e)}_mask_data(){const s=this.renderer.plot_view.frame.x_ranges.default,[t,e]=[s.min,s.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:e,y0:n,y1:r}).sort((s,t)=>s-t)}_inner_loop(s,t,e,i){for(let n=0,r=t.length;n<r;n++)0!=n?isNaN(t[n]+e[n])?(s.closePath(),i.apply(s),s.beginPath()):s.lineTo(t[n],e[n]):(s.beginPath(),s.moveTo(t[n],e[n]));s.closePath(),i.call(s)}_render(s,t,{sxs:e,sys:i}){this.sxss=this._build_discontinuous_object(e),this.syss=this._build_discontinuous_object(i);for(const n of t){const[t,r]=[e[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,n),this._inner_loop(s,t,r,s.fill)),this.visuals.hatch.doit2(s,n,()=>this._inner_loop(s,t,r,s.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),this._inner_loop(s,t,r,s.stroke))}}_hit_rect(s){const{sx0:t,sx1:e,sy0:i,sy1:n}=s,r=[t,e,e,t],o=[i,i,n,n],[l,_]=this.renderer.xscale.r_invert(t,e),[h,d]=this.renderer.yscale.r_invert(i,n),u=this.index.indices({x0:l,x1:_,y0:h,y1:d}),x=[];for(let s=0,t=u.length;s<t;s++){const t=u[s],e=this.sxs[t],i=this.sys[t];let n=!0;for(let s=0,t=e.length;s<t;s++){const t=e[s],l=i[s];if(!c.point_in_poly(t,l,r,o)){n=!1;break}}n&&x.push(t)}return new a.Selection({indices:x})}_hit_point(s){const{sx:t,sy:e}=s,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(e),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=[];for(let s=0,i=r.length;s<i;s++){const i=r[s],n=this.sxss[i],l=this.syss[i];for(let s=0,r=n.length;s<r;s++)c.point_in_poly(t,e,n[s],l[s])&&o.push(i)}return new a.Selection({indices:o})}_get_snap_coord(s){return _.sum(s)/s.length}scenterx(s,t,e){if(1==this.sxss[s].length)return this._get_snap_coord(this.sxs[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(i[s])}d.unreachable()}scentery(s,t,e){if(1==this.syss[s].length)return this._get_snap_coord(this.sys[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(n[s])}d.unreachable()}draw_legend_for_index(s,t,e){o.generic_area_legend(this.visuals,s,t,e)}}e.PatchesView=u,u.__name__=\"PatchesView\";class x extends r.Glyph{constructor(s){super(s)}static init_Patches(){this.prototype.default_view=u,this.coords([[\"xs\",\"ys\"]]),this.mixins([h.LineVector,h.FillVector,h.HatchVector])}}e.Patches=x,x.__name__=\"Patches\",x.init_Patches()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(218);class _ extends i.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._right.length)}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}s.QuadView=_,_.__name__=\"QuadView\";class o extends i.Box{constructor(t){super(t)}static init_Quad(){this.prototype.default_view=_,this.coords([[\"right\",\"bottom\"],[\"left\",\"top\"]])}}s.Quad=o,o.__name__=\"Quad\",o.init_Quad()},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(23),n=t(85),r=t(89),_=t(92);function a(t,i,e){if(i==(t+e)/2)return[t,e];{const s=(t-i)/(t-2*i+e),n=t*(1-s)**2+2*i*(1-s)*s+e*s**2;return[Math.min(t,e,n),Math.max(t,e,n)]}}class c extends r.GlyphView{_index_data(){const t=[];for(let i=0,e=this._x0.length;i<e;i++){if(isNaN(this._x0[i]+this._x1[i]+this._y0[i]+this._y1[i]+this._cx[i]+this._cy[i]))continue;const[e,s]=a(this._x0[i],this._cx[i],this._x1[i]),[n,r]=a(this._y0[i],this._cy[i],this._y1[i]);t.push({x0:e,y0:n,x1:s,y1:r,i})}return new n.SpatialIndex(t)}_render(t,i,{sx0:e,sy0:s,sx1:n,sy1:r,scx:_,scy:a}){if(this.visuals.line.doit)for(const c of i)isNaN(e[c]+s[c]+n[c]+r[c]+_[c]+a[c])||(t.beginPath(),t.moveTo(e[c],s[c]),t.quadraticCurveTo(_[c],a[c],n[c],r[c]),this.visuals.line.set_vectorize(t,c),t.stroke())}draw_legend_for_index(t,i,e){_.generic_line_legend(this.visuals,t,i,e)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}e.QuadraticView=c,c.__name__=\"QuadraticView\";class o extends r.Glyph{constructor(t){super(t)}static init_Quadratic(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx\",\"cy\"]]),this.mixins(s.LineVector)}}e.Quadratic=o,o.__name__=\"Quadratic\",o.init_Quadratic()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),a=e(92),l=e(23),r=s.__importStar(e(18));class _ extends n.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this._length):this.slength=this._length}_render(e,t,{sx:i,sy:s,slength:n,_angle:a}){if(this.visuals.line.doit){const l=2*(this.renderer.plot_view.frame._width.value+this.renderer.plot_view.frame._height.value);for(let e=0,t=n.length;e<t;e++)0==n[e]&&(n[e]=l);for(const l of t)isNaN(i[l]+s[l]+a[l]+n[l])||(e.translate(i[l],s[l]),e.rotate(a[l]),e.beginPath(),e.moveTo(0,0),e.lineTo(n[l],0),this.visuals.line.set_vectorize(e,l),e.stroke(),e.rotate(-a[l]),e.translate(-i[l],-s[l]))}}draw_legend_for_index(e,t,i){a.generic_line_legend(this.visuals,e,t,i)}}i.RayView=_,_.__name__=\"RayView\";class h extends n.XYGlyph{constructor(e){super(e)}static init_Ray(){this.prototype.default_view=_,this.mixins(l.LineVector),this.define({length:[r.DistanceSpec],angle:[r.AngleSpec]})}}i.Ray=h,h.__name__=\"Ray\",h.init_Ray()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(214),a=t(92),r=i.__importStar(t(18)),n=t(12),_=t(79);class l extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this._width,this.renderer.xscale);else{this.sw=this._width;const t=this.sx.length;this.sx0=new Float64Array(t);for(let s=0;s<t;s++)this.sx0[s]=this.sx[s]-this.sw[s]/2}if(\"data\"==this.model.properties.height.units)[this.sh,this.sy1]=this._map_dist_corner_for_data_side_length(this._y,this._height,this.renderer.yscale);else{this.sh=this._height;const t=this.sy.length;this.sy1=new Float64Array(t);for(let s=0;s<t;s++)this.sy1[s]=this.sy[s]-this.sh[s]/2}const t=this.sw.length;this.ssemi_diag=new Float64Array(t);for(let s=0;s<t;s++)this.ssemi_diag[s]=Math.sqrt(this.sw[s]/2*this.sw[s]/2+this.sh[s]/2*this.sh[s]/2)}_render(t,s,{sx:e,sy:i,sx0:h,sy1:a,sw:r,sh:n,_angle:_}){if(this.visuals.fill.doit)for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||(this.visuals.fill.set_vectorize(t,l),_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.fillRect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.fillRect(h[l],a[l],r[l],n[l]));if(this.visuals.line.doit){t.beginPath();for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||0!=r[l]&&0!=n[l]&&(_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.rect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.rect(h[l],a[l],r[l],n[l]),this.visuals.line.set_vectorize(t,l),t.stroke(),t.beginPath());t.stroke()}}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){let{sx:s,sy:e}=t;const i=this.renderer.xscale.invert(s),h=this.renderer.yscale.invert(e),a=[];for(let t=0,s=this.sx0.length;t<s;t++)a.push(this.sx0[t]+this.sw[t]/2);const r=[];for(let t=0,s=this.sy1.length;t<s;t++)r.push(this.sy1[t]+this.sh[t]/2);const l=n.max(this._ddist(0,a,this.ssemi_diag)),o=n.max(this._ddist(1,r,this.ssemi_diag)),d=i-l,c=i+l,x=h-o,y=h+o,f=[];for(const t of this.index.indices({x0:d,x1:c,y0:x,y1:y})){let i,h;if(this._angle[t]){const a=Math.sin(-this._angle[t]),r=Math.cos(-this._angle[t]),n=r*(s-this.sx[t])-a*(e-this.sy[t])+this.sx[t],_=a*(s-this.sx[t])+r*(e-this.sy[t])+this.sy[t];s=n,e=_,h=Math.abs(this.sx[t]-s)<=this.sw[t]/2,i=Math.abs(this.sy[t]-e)<=this.sh[t]/2}else h=s-this.sx0[t]<=this.sw[t]&&s-this.sx0[t]>=0,i=e-this.sy1[t]<=this.sh[t]&&e-this.sy1[t]>=0;i&&h&&f.push(t)}return new _.Selection({indices:f})}_map_dist_corner_for_data_side_length(t,s,e){const i=t.length,h=new Float64Array(i),a=new Float64Array(i);for(let e=0;e<i;e++)h[e]=Number(t[e])-s[e]/2,a[e]=Number(t[e])+s[e]/2;const r=e.v_compute(h),n=e.v_compute(a),_=this.sdist(e,h,s,\"edge\",this.model.dilate);let l=r;for(let t=0,s=r.length;t<s;t++)if(r[t]!=n[t]){l=r[t]<n[t]?r:n;break}return[_,l]}_ddist(t,s,e){const i=0==t?this.renderer.xscale:this.renderer.yscale,h=s,a=h.length,r=new Float64Array(a);for(let t=0;t<a;t++)r[t]=h[t]+e[t];const n=i.v_invert(h),_=i.v_invert(r),l=n.length,o=new Float64Array(l);for(let t=0;t<l;t++)o[t]=Math.abs(_[t]-n[t]);return o}draw_legend_for_index(t,s,e){a.generic_area_legend(this.visuals,t,s,e)}_bounds({x0:t,x1:s,y0:e,y1:i}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:e-this.max_h2,y1:i+this.max_h2}}}e.RectView=l,l.__name__=\"RectView\";class o extends h.CenterRotatable{constructor(t){super(t)}static init_Rect(){this.prototype.default_view=l,this.define({dilate:[r.Boolean,!1]})}}e.Rect=o,o.__name__=\"Rect\",o.init_Rect()},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1).__importStar(e(93)),n=e(23),r=e(85),h=e(89),_=e(92),a=e(79);class c extends h.GlyphView{_index_data(){const e=[];for(let s=0,t=this._x0.length;s<t;s++){const t=this._x0[s],i=this._x1[s],n=this._y0[s],r=this._y1[s];isNaN(t+i+n+r)||e.push({x0:Math.min(t,i),y0:Math.min(n,r),x1:Math.max(t,i),y1:Math.max(n,r),i:s})}return new r.SpatialIndex(e)}_render(e,s,{sx0:t,sy0:i,sx1:n,sy1:r}){if(this.visuals.line.doit)for(const h of s)isNaN(t[h]+i[h]+n[h]+r[h])||(e.beginPath(),e.moveTo(t[h],i[h]),e.lineTo(n[h],r[h]),this.visuals.line.set_vectorize(e,h),e.stroke())}_hit_point(e){const{sx:s,sy:t}=e,n={x:s,y:t},[r,h]=this.renderer.xscale.r_invert(s-2,s+2),[_,c]=this.renderer.yscale.r_invert(t-2,t+2),o=this.index.indices({x0:r,y0:_,x1:h,y1:c}),x=[];for(const e of o){const s=Math.max(2,this.visuals.line.cache_select(\"line_width\",e)/2)**2,t={x:this.sx0[e],y:this.sy0[e]},r={x:this.sx1[e],y:this.sy1[e]};i.dist_to_segment_squared(n,t,r)<s&&x.push(e)}return new a.Selection({indices:x})}_hit_span(e){const[s,t]=this.renderer.plot_view.frame.bbox.ranges,{sx:i,sy:n}=e;let r,h,_;\"v\"==e.direction?(_=this.renderer.yscale.invert(n),[r,h]=[this._y0,this._y1]):(_=this.renderer.xscale.invert(i),[r,h]=[this._x0,this._x1]);const c=[],[o,x]=this.renderer.xscale.r_invert(s.start,s.end),[l,d]=this.renderer.yscale.r_invert(t.start,t.end),y=this.index.indices({x0:o,y0:l,x1:x,y1:d});for(const s of y){(r[s]<=_&&_<=h[s]||h[s]<=_&&_<=r[s])&&c.push(s);const t=1.5+this.visuals.line.cache_select(\"line_width\",s)/2;r[s]==h[s]&&(\"h\"==e.direction?Math.abs(this.sx0[s]-i)<=t&&c.push(s):Math.abs(this.sy0[s]-n)<=t&&c.push(s))}return new a.Selection({indices:c})}scenterx(e){return(this.sx0[e]+this.sx1[e])/2}scentery(e){return(this.sy0[e]+this.sy1[e])/2}draw_legend_for_index(e,s,t){_.generic_line_legend(this.visuals,e,s,t)}}t.SegmentView=c,c.__name__=\"SegmentView\";class o extends h.Glyph{constructor(e){super(e)}static init_Segment(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"]]),this.mixins(n.LineVector)}}t.Segment=o,o.__name__=\"Segment\",o.init_Segment()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(84),o=e(92),r=e(23),l=n.__importStar(e(18));class a extends s.XYGlyphView{_render(e,t,{sx:i,sy:n}){let s=!1,o=null;this.visuals.line.set_value(e);const r=t.length;if(!(r<2)){e.beginPath(),e.moveTo(i[0],n[0]);for(const r of t){let t,l,a,_;switch(this.model.mode){case\"before\":[t,a]=[i[r-1],n[r]],[l,_]=[i[r],n[r]];break;case\"after\":[t,a]=[i[r],n[r-1]],[l,_]=[i[r],n[r]];break;case\"center\":{const e=(i[r-1]+i[r])/2;[t,a]=[e,n[r-1]],[l,_]=[e,n[r]];break}default:throw new Error(\"unexpected\")}if(s){if(!isFinite(i[r]+n[r])){e.stroke(),e.beginPath(),s=!1,o=r;continue}null!=o&&r-o>1&&(e.stroke(),s=!1)}s?(e.lineTo(t,a),e.lineTo(l,_)):(e.beginPath(),e.moveTo(i[r],n[r]),s=!0),o=r}e.lineTo(i[r-1],n[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}}i.StepView=a,a.__name__=\"StepView\";class _ extends s.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=a,this.mixins(r.LineVector),this.define({mode:[l.StepMode,\"before\"]})}}i.Step=_,_.__name__=\"Step\",_.init_Step()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(84),_=t(23),o=i.__importStar(t(93)),h=i.__importStar(t(18)),r=t(132),l=t(11),a=t(79);class c extends n.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,{sx:s,sy:i,_x_offset:n,_y_offset:_,_angle:o,_text:h}){this._sys=[],this._sxs=[];for(const l of e)if(this._sxs[l]=[],this._sys[l]=[],!isNaN(s[l]+i[l]+n[l]+_[l]+o[l])&&null!=h[l]&&this.visuals.text.doit){const e=\"\"+h[l];t.save(),t.translate(s[l]+n[l],i[l]+_[l]),t.rotate(o[l]),this.visuals.text.set_vectorize(t,l);const a=this.visuals.text.cache_select(\"font\",l),{height:c}=r.measure_font(a),x=this.visuals.text.text_line_height.value()*c;if(-1==e.indexOf(\"\\n\")){t.fillText(e,0,0);const o=s[l]+n[l],h=i[l]+_[l],r=t.measureText(e).width,[a,c]=this._text_bounds(o,h,r,x);this._sxs[l].push(a),this._sys[l].push(c)}else{const o=e.split(\"\\n\"),h=x*o.length,r=this.visuals.text.cache_select(\"text_baseline\",l);let a;switch(r){case\"top\":a=0;break;case\"middle\":a=-h/2+x/2;break;case\"bottom\":a=-h+x;break;default:a=0,console.warn(`'${r}' baseline not supported with multi line text`)}for(const e of o){t.fillText(e,0,a);const o=s[l]+n[l],h=a+i[l]+_[l],r=t.measureText(e).width,[c,u]=this._text_bounds(o,h,r,x);this._sxs[l].push(c),this._sys[l].push(u),a+=x}}t.restore()}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t<this._sxs.length;t++){const n=this._sxs[t],_=this._sys[t],h=n.length;for(let r=0,l=h;r<l;r++){const[l,a]=this._rotate_point(e,s,n[h-1][0],_[h-1][0],-this._angle[t]);o.point_in_poly(l,a,n[r],_[r])&&i.push(t)}}return new a.Selection({indices:i})}_scenterxy(t){const e=this._sxs[t],s=this._sys[t];l.assert(0!=e.length&&0!=s.length);const i=e[0][0],n=s[0][0],_=(e[0][2]+i)/2,o=(s[0][2]+n)/2,[h,r]=this._rotate_point(_,o,i,n,this._angle[t]);return{x:h,y:r}}scenterx(t){return this._scenterxy(t).x}scentery(t){return this._scenterxy(t).y}}s.TextView=c,c.__name__=\"TextView\";class x extends n.XYGlyph{constructor(t){super(t)}static init_Text(){this.prototype.default_view=c,this.mixins(_.TextVector),this.define({text:[h.NullStringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,0],y_offset:[h.NumberSpec,0]})}}s.Text=x,x.__name__=\"Text\",x.init_Text()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class o extends h.BoxView{scenterx(t){return this.sx[t]}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._x.length)}_lrtb(t){return[this._x[t]-this._width[t]/2,this._x[t]+this._width[t]/2,Math.max(this._top[t],this._bottom[t]),Math.min(this._top[t],this._bottom[t])]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new Float64Array(t),this.sright=new Float64Array(t);for(let s=0;s<t;s++)this.sleft[s]=this.sx[s]-this.sw[s]/2,this.sright[s]=this.sx[s]+this.sw[s]/2;this._clamp_viewport()}}e.VBarView=o,o.__name__=\"VBarView\";class _ extends h.Box{constructor(t){super(t)}static init_VBar(){this.prototype.default_view=o,this.coords([[\"x\",\"bottom\"]]),this.define({width:[r.NumberSpec],top:[r.CoordinateSpec]}),this.override({bottom:0})}}e.VBar=_,_.__name__=\"VBar\",_.init_VBar()},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),d=e(10),o=e(79);class l extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,s,{sx:t,sy:i,sradius:r,_start_angle:n,_end_angle:a}){const _=this.model.properties.direction.value();for(const d of s)isNaN(t[d]+i[d]+r[d]+n[d]+a[d])||(e.beginPath(),e.arc(t[d],i[d],r[d],n[d],a[d],_),e.lineTo(t[d],i[d]),e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,d),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,d),e.stroke()))}_hit_point(e){let s,t,i,r,n,a,_,l,c;const{sx:h,sy:u}=e,p=this.renderer.xscale.invert(h),x=this.renderer.yscale.invert(u),g=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=p-g,_=p+g,l=x-g,c=x+g):(t=h-g,i=h+g,[a,_]=this.renderer.xscale.r_invert(t,i),r=u-g,n=u+g,[l,c]=this.renderer.yscale.r_invert(r,n));const y=[];for(const e of this.index.indices({x0:a,x1:_,y0:l,y1:c})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(p,this._x[e]),[r,n]=this.renderer.yscale.r_compute(x,this._y[e]),s=(t-i)**2+(r-n)**2,s<=a&&y.push([e,s])}const f=this.model.properties.direction.value(),v=[];for(const[e,s]of y){const t=Math.atan2(u-this.sy[e],h-this.sx[e]);d.angle_between(-t,-this._start_angle[e],-this._end_angle[e],f)&&v.push([e,s])}return o.Selection.from_hits(v)}draw_legend_for_index(e,s,t){n.generic_area_legend(this.visuals,e,s,t)}_scenterxy(e){const s=this.sradius[e]/2,t=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+s*Math.cos(t),y:this.sy[e]+s*Math.sin(t)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}t.WedgeView=l,l.__name__=\"WedgeView\";class c extends r.XYGlyph{constructor(e){super(e)}static init_Wedge(){this.prototype.default_view=l,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}t.Wedge=c,c.__name__=\"Wedge\",c.init_Wedge()},\n",
+       "      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const r=e(1);r.__exportStar(e(101),_),r.__exportStar(e(239),_),r.__exportStar(e(240),_)},\n",
+       "      function _(e,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=e(71);class n extends t.Model{constructor(e){super(e)}}r.LayoutProvider=n,n.__name__=\"LayoutProvider\"},\n",
+       "      function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(1),r=t(239),s=o.__importStar(t(18));class n extends r.LayoutProvider{constructor(t){super(t)}static init_StaticLayoutProvider(){this.define({graph_layout:[s.Any,{}]})}get_node_coordinates(t){const a=[],e=[],o=t.data.index;for(let t=0,r=o.length;t<r;t++){const r=this.graph_layout[o[t]],[s,n]=null!=r?r:[NaN,NaN];a.push(s),e.push(n)}return[a,e]}get_edge_coordinates(t){const a=[],e=[],o=t.data.start,r=t.data.end,s=null!=t.data.xs&&null!=t.data.ys;for(let n=0,u=o.length;n<u;n++){const u=null!=this.graph_layout[o[n]]&&null!=this.graph_layout[r[n]];if(s&&u)a.push(t.data.xs[n]),e.push(t.data.ys[n]);else{let t,s;[s,t]=u?[this.graph_layout[o[n]],this.graph_layout[r[n]]]:[[NaN,NaN],[NaN,NaN]],a.push([s[0],t[0]]),e.push([s[1],t[1]])}}return[a,e]}}e.StaticLayoutProvider=n,n.__name__=\"StaticLayoutProvider\",n.init_StaticLayoutProvider()},\n",
+       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var i=e(242);d.Grid=i.Grid},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),s=e(151),r=n.__importStar(e(23)),_=n.__importStar(e(18)),o=e(8);class a extends s.GuideRendererView{render(){if(!this.model.visible)return;const e=this.layer.ctx;e.save(),this._draw_regions(e),this._draw_minor_grids(e),this._draw_grids(e),e.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render())}_draw_regions(e){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;this.visuals.band_fill.set_value(e);const[i,t]=this.grid_coords(\"major\",!1);for(let n=0;n<i.length-1;n++){if(n%2!=1)continue;const[s,r]=this.plot_view.map_to_screen(i[n],t[n],this.model.x_range_name,this.model.y_range_name),[_,o]=this.plot_view.map_to_screen(i[n+1],t[n+1],this.model.x_range_name,this.model.y_range_name);this.visuals.band_fill.doit&&e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0]),this.visuals.band_hatch.doit2(e,n,()=>{e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0])},()=>this.request_render())}}_draw_grids(e){if(!this.visuals.grid_line.doit)return;const[i,t]=this.grid_coords(\"major\");this._draw_grid_helper(e,this.visuals.grid_line,i,t)}_draw_minor_grids(e){if(!this.visuals.minor_grid_line.doit)return;const[i,t]=this.grid_coords(\"minor\");this._draw_grid_helper(e,this.visuals.minor_grid_line,i,t)}_draw_grid_helper(e,i,t,n){i.set_value(e);for(let i=0;i<t.length;i++){const[s,r]=this.plot_view.map_to_screen(t[i],n[i],this.model.x_range_name,this.model.y_range_name);e.beginPath(),e.moveTo(Math.round(s[0]),Math.round(r[0]));for(let i=1;i<s.length;i++)e.lineTo(Math.round(s[i]),Math.round(r[i]));e.stroke()}}ranges(){const e=this.model.dimension,i=(e+1)%2,t=this.plot_view.frame,n=[t.x_ranges[this.model.x_range_name],t.y_ranges[this.model.y_range_name]];return[n[e],n[i]]}computed_bounds(){const[e]=this.ranges(),i=this.model.bounds,t=[e.min,e.max];let n,s;if(o.isArray(i))n=Math.min(i[0],i[1]),s=Math.max(i[0],i[1]),n<t[0]&&(n=t[0]),s>t[1]&&(s=t[1]);else{[n,s]=t;for(const e of this.plot_view.axis_views)e.dimension==this.model.dimension&&e.model.x_range_name==this.model.x_range_name&&e.model.y_range_name==this.model.y_range_name&&([n,s]=e.computed_bounds)}return[n,s]}grid_coords(e,i=!0){const t=this.model.dimension,n=(t+1)%2,[s,r]=this.ranges();let[_,o]=this.computed_bounds();[_,o]=[Math.min(_,o),Math.max(_,o)];const a=[[],[]],d=this.model.get_ticker();if(null==d)return a;const l=d.get_ticks(_,o,s,r.min,{})[e],h=s.min,m=s.max,c=r.min,u=r.max;i||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=m&&l.push(m));for(let e=0;e<l.length;e++){if((l[e]==h||l[e]==m)&&i)continue;const s=[],r=[],_=2;for(let i=0;i<_;i++){const t=c+(u-c)/(_-1)*i;s.push(l[e]),r.push(t)}a[t].push(s),a[n].push(r)}return a}}t.GridView=a,a.__name__=\"GridView\";class d extends s.GuideRenderer{constructor(e){super(e)}static init_Grid(){this.prototype.default_view=a,this.mixins([[\"grid_\",r.Line],[\"minor_grid_\",r.Line],[\"band_\",r.Fill],[\"band_\",r.Hatch]]),this.define({bounds:[_.Any,\"auto\"],dimension:[_.Any,0],axis:[_.Instance],ticker:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}t.Grid=d,d.__name__=\"Grid\",d.init_Grid()},\n",
+       "      function _(a,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});var e=a(244);r.Box=e.Box;var v=a(247);r.Column=v.Column;var x=a(248);r.GridBox=x.GridBox;var B=a(249);r.HTMLBox=B.HTMLBox;var n=a(245);r.LayoutDOM=n.LayoutDOM;var t=a(250);r.Row=t.Row;var u=a(251);r.Spacer=u.Spacer;var d=a(252);r.Panel=d.Panel,r.Tabs=d.Tabs;var i=a(259);r.WidgetBox=i.WidgetBox},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(245),o=n.__importStar(e(18));class c extends s.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends s.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define({children:[o.Array,[]],spacing:[o.Number,0]})}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(71),l=t(68),n=t(72),h=t(8),a=s.__importStar(t(18)),_=t(99),r=t(66),d=t(246);class u extends r.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval(()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))},250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],()=>this.invalidate_layout()),this.on_change([t.background,t.css_classes],()=>this.invalidate_render())}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map(t=>this._child_views.get(t))}async build_child_views(){await _.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),l.empty(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?t:\"\",l.classes(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_root?this.layout.sizing.margin:void 0;l.position(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build()}build(){return this.assert_root(),this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),n.logger.debug(`layout computed in ${Date.now()-t} ms`),this.notify_finished()}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:a,height:_}=this.model;null!=a&&(o.width=a),null!=_&&(o.height=_);const{max_width:r,max_height:d}=this.model;null!=r&&(o.max_width=r),null!=d&&(o.max_height=d),\"auto\"==e&&null!=a&&null!=_?o.aspect=a/_:h.isNumber(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if(h.isNumber(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:c}=this.model;return h.isArray(c)?[o.halign,o.valign]=c:o.halign=o.valign=c,o}_viewport_size(){return l.undisplayed(this.el,()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(d.bk_root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=l.extents(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=l.extents(t),{width:n,height:h}=t.getBoundingClientRect(),a=Math.ceil(n-i-e),_=Math.ceil(h-s-o);if(a>0||_>0)return{width:a>0?a:void 0,height:_>0?_:void 0}}return{}})}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map(t=>t.serializable_state())})}}e.LayoutDOMView=u,u.__name__=\"LayoutDOMView\";class c extends o.Model{constructor(t){super(t)}static init_LayoutDOM(){this.define({width:[a.Number,null],height:[a.Number,null],min_width:[a.Number,null],min_height:[a.Number,null],max_width:[a.Number,null],max_height:[a.Number,null],margin:[a.Any,[0,0,0,0]],width_policy:[a.Any,\"auto\"],height_policy:[a.Any,\"auto\"],aspect_ratio:[a.Any,null],sizing_mode:[a.SizingMode,null],visible:[a.Boolean,!0],disabled:[a.Boolean,!1],align:[a.Any,\"start\"],background:[a.Color,null],css_classes:[a.Array,[]]})}}e.LayoutDOM=c,c.__name__=\"LayoutDOM\",c.init_LayoutDOM()},\n",
+       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_root=\"bk-root\"},\n",
+       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),n=t(192),l=s.__importStar(t(18));class u extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new n.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class _ extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define({rows:[l.Any,\"auto\"]})}}i.Column=_,_.__name__=\"Column\",_.init_Column()},\n",
+       "      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1),e=t(245),n=t(192),l=o.__importStar(t(18));class r extends e.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children.map(([t])=>t)}_update_layout(){this.layout=new n.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,i,s,o,e]of this.model.children){const n=this._child_views.get(t);this.layout.items.push({layout:n.layout,row:i,col:s,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}s.GridBoxView=r,r.__name__=\"GridBoxView\";class a extends e.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=r,this.define({children:[l.Array,[]],rows:[l.Any,\"auto\"],cols:[l.Any,\"auto\"],spacing:[l.Any,0]})}}s.GridBox=a,a.__name__=\"GridBox\",a.init_GridBox()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(245),_=e(188);class n extends s.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new _.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=n,n.__name__=\"HTMLBoxView\";class i extends s.LayoutDOM{constructor(e){super(e)}}o.HTMLBox=i,i.__name__=\"HTMLBox\"},\n",
+       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),_=t(192),a=s.__importStar(t(18));class n extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new _.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=n,n.__name__=\"RowView\";class l extends e.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=n,this.define({cols:[a.Any,\"auto\"]})}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(245),s=e(188);class _ extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new s.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=_,_.__name__=\"SpacerView\";class o extends i.LayoutDOM{constructor(e){super(e)}static init_Spacer(){this.prototype.default_view=_}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(188),l=e(68),h=e(9),o=i.__importStar(e(18)),c=e(245),d=e(71),r=e(146),n=e(253),_=e(254),b=e(255),p=i.__importDefault(e(256)),u=i.__importDefault(e(257)),m=i.__importDefault(e(258));class v extends c.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,()=>this.rebuild()),this.connect(this.model.properties.active.change,()=>this.on_active_change())}styles(){return[...super.styles(),p.default,u.default,m.default]}get child_models(){return this.model.tabs.map(e=>e.child)}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const a=l.size(s),o=l.children(i).slice(0,3).map(e=>l.size(e)),{width:c,height:d}=super._measure(e);if(t){const t=a.width+h.sum(o.map(e=>e.width));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+h.sum(o.map(e=>e.height));return{width:c,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let o=1,c=1;switch(e){case\"above\":o-=1;break;case\"below\":o+=1;break;case\"left\":c-=1;break;case\"right\":c+=1}const d={layout:this.header,row:o,col:c},r=this.child_views.map(e=>({layout:e.layout,row:1,col:1}));this.layout=new a.Grid([d,...r]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",l.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=l.size(this.scroll_el),i=l.scroll_size(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",l.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",l.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)l.hide(e.el);const h=a[this.model.active];null!=h&&l.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map((t,s)=>{const i=l.div({class:[n.bk_tab,s==e?r.bk_active:null]},t.title);if(i.addEventListener(\"click\",e=>{e.target==e.currentTarget&&this.change_active(s)}),t.closable){const e=l.div({class:n.bk_close});e.addEventListener(\"click\",e=>{if(e.target==e.currentTarget){this.model.tabs=h.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}}),i.appendChild(e)}return i});this.headers_el=l.div({class:[n.bk_headers]},i),this.wrapper_el=l.div({class:n.bk_headers_wrapper},this.headers_el);const a=l.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},l.div({class:[b.bk_caret,r.bk_left]})),o=l.div({class:[_.bk_btn,_.bk_btn_default]},l.div({class:[b.bk_caret,r.bk_right]}));let c=0;const d=e=>()=>{const t=this.model.tabs.length;c=\"left\"==e?Math.max(c-1,0):Math.min(c+1,t-1),0==c?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),c==t-1?o.setAttribute(\"disabled\",\"\"):o.removeAttribute(\"disabled\");const i=l.children(this.headers_el).slice(0,c).map(e=>e.getBoundingClientRect());if(s){const e=-h.sum(i.map(e=>e.width));this.headers_el.style.left=e+\"px\"}else{const e=-h.sum(i.map(e=>e.height));this.headers_el.style.top=e+\"px\"}};a.addEventListener(\"click\",d(\"left\")),o.addEventListener(\"click\",d(\"right\")),this.scroll_el=l.div({class:_.bk_btn_group},a,o),this.header_el=l.div({class:[n.bk_tabs_header,r.bk_side(t)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=l.children(this.headers_el);for(const e of t)e.classList.remove(r.bk_active);t[e].classList.add(r.bk_active);const{child_views:s}=this;for(const e of s)l.hide(e.el);l.show(s[e].el)}}s.TabsView=v,v.__name__=\"TabsView\";class g extends c.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=v,this.define({tabs:[o.Array,[]],tabs_location:[o.Location,\"above\"],active:[o.Number,0]})}}s.Tabs=g,g.__name__=\"Tabs\",g.init_Tabs();class w extends d.Model{constructor(e){super(e)}static init_Panel(){this.define({title:[o.String,\"\"],child:[o.Instance],closable:[o.Boolean,!1]})}}s.Panel=w,w.__name__=\"Panel\",w.init_Panel()},\n",
+       "      function _(e,b,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.bk_tabs_header=\"bk-tabs-header\",a.bk_headers_wrapper=\"bk-headers-wrapper\",a.bk_headers=\"bk-headers\",a.bk_tab=\"bk-tab\",a.bk_close=\"bk-close\"},\n",
+       "      function _(n,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_btn=\"bk-btn\",t.bk_btn_group=\"bk-btn-group\",t.bk_btn_default=\"bk-btn-default\",t.bk_btn_primary=\"bk-btn-primary\",t.bk_btn_success=\"bk-btn-success\",t.bk_btn_warning=\"bk-btn-warning\",t.bk_btn_danger=\"bk-btn-danger\",t.bk_btn_type=function(n){switch(n){case\"default\":return t.bk_btn_default;case\"primary\":return t.bk_btn_primary;case\"success\":return t.bk_btn_success;case\"warning\":return t.bk_btn_warning;case\"danger\":return t.bk_btn_danger}},t.bk_dropdown_toggle=\"bk-dropdown-toggle\"},\n",
+       "      function _(e,b,d){Object.defineProperty(d,\"__esModule\",{value:!0}),d.bk_menu=\"bk-menu\",d.bk_caret=\"bk-caret\",d.bk_divider=\"bk-divider\"},\n",
+       "      function _(n,o,b){Object.defineProperty(b,\"__esModule\",{value:!0});b.default=\"\\n.bk-root .bk-btn {\\n  height: 100%;\\n  display: inline-block;\\n  text-align: center;\\n  vertical-align: middle;\\n  white-space: nowrap;\\n  cursor: pointer;\\n  padding: 6px 12px;\\n  font-size: 12px;\\n  border: 1px solid transparent;\\n  border-radius: 4px;\\n  outline: 0;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-btn:hover,\\n.bk-root .bk-btn:focus {\\n  text-decoration: none;\\n}\\n.bk-root .bk-btn:active,\\n.bk-root .bk-btn.bk-active {\\n  background-image: none;\\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\\n}\\n.bk-root .bk-btn[disabled] {\\n  cursor: not-allowed;\\n  pointer-events: none;\\n  opacity: 0.65;\\n  box-shadow: none;\\n}\\n.bk-root .bk-btn-default {\\n  color: #333;\\n  background-color: #fff;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n  background-color: #f5f5f5;\\n  border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n  background-color: #ebebeb;\\n  border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n  background-color: #e6e6e6;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n  color: #fff;\\n  background-color: #428bca;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n  background-color: #3681c1;\\n  border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n  background-color: #3276b1;\\n  border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n  background-color: #506f89;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n  color: #fff;\\n  background-color: #5cb85c;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n  background-color: #4eb24e;\\n  border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n  background-color: #47a447;\\n  border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n  background-color: #667b66;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n  color: #fff;\\n  background-color: #f0ad4e;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n  background-color: #eea43b;\\n  border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n  background-color: #ed9c28;\\n  border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n  background-color: #c89143;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n  color: #fff;\\n  background-color: #d9534f;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n  background-color: #d5433e;\\n  border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n  background-color: #d2322d;\\n  border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n  background-color: #a55350;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n  height: 100%;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n  margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n  border-bottom-right-radius: 0;\\n  border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n  border-bottom-left-radius: 0;\\n  border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n  border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n  flex: 0 0 0;\\n  -webkit-flex: 0 0 0;\\n  padding: 6px 6px;\\n}\\n\"},\n",
+       "      function _(n,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});r.default=\"\\n.bk-root .bk-menu-icon {\\n  width: 28px;\\n  height: 28px;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-context-menu {\\n  position: absolute;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n  width: auto;\\n  height: auto;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-context-menu.bk-horizontal {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-context-menu.bk-vertical {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-context-menu > .bk-divider {\\n  cursor: default;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > .bk-divider {\\n  width: 1px;\\n  margin: 5px 0;\\n}\\n.bk-root .bk-context-menu.bk-vertical > .bk-divider {\\n  height: 1px;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider) {\\n  border: 1px solid transparent;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider).bk-active {\\n  border-color: #26aae1;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider):hover {\\n  background-color: #f9f9f9;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-bottom-left-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child {\\n  border-top-right-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-top-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child {\\n  border-bottom-left-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-menu {\\n  position: absolute;\\n  left: 0;\\n  width: 100%;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n  bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n  top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n  height: 1px;\\n  margin: 7.5px 0;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n  padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n  background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n  display: inline-block;\\n  vertical-align: middle;\\n  width: 0;\\n  height: 0;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-caret.bk-down {\\n  border-top: 4px solid;\\n}\\n.bk-root .bk-caret.bk-up {\\n  border-bottom: 4px solid;\\n}\\n.bk-root .bk-caret.bk-down,\\n.bk-root .bk-caret.bk-up {\\n  border-right: 4px solid transparent;\\n  border-left: 4px solid transparent;\\n}\\n.bk-root .bk-caret.bk-left {\\n  border-right: 4px solid;\\n}\\n.bk-root .bk-caret.bk-right {\\n  border-left: 4px solid;\\n}\\n.bk-root .bk-caret.bk-left,\\n.bk-root .bk-caret.bk-right {\\n  border-top: 4px solid transparent;\\n  border-bottom: 4px solid transparent;\\n}\\n\"},\n",
+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default='\\n.bk-root .bk-tabs-header {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  overflow: hidden;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group {\\n  height: auto;\\n  margin-right: 5px;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group > .bk-btn {\\n  flex-grow: 0;\\n  -webkit-flex-grow: 0;\\n  height: auto;\\n  padding: 4px 4px;\\n}\\n.bk-root .bk-tabs-header .bk-headers-wrapper {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  overflow: hidden;\\n  color: #666666;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper {\\n  border-bottom: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper {\\n  border-left: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper {\\n  border-top: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper {\\n  border-right: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-above,\\n.bk-root .bk-tabs-header.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers,\\n.bk-root .bk-tabs-header.bk-below .bk-headers {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-left,\\n.bk-root .bk-tabs-header.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers,\\n.bk-root .bk-tabs-header.bk-right .bk-headers {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header .bk-headers {\\n  position: relative;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n}\\n.bk-root .bk-tabs-header .bk-tab {\\n  padding: 4px 8px;\\n  border: solid transparent;\\n  white-space: nowrap;\\n  cursor: pointer;\\n}\\n.bk-root .bk-tabs-header .bk-tab:hover {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .bk-tabs-header .bk-tab.bk-active {\\n  color: #4d4d4d;\\n  background-color: white;\\n  border-color: #e6e6e6;\\n}\\n.bk-root .bk-tabs-header .bk-tab .bk-close {\\n  margin-left: 10px;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-tab {\\n  border-width: 3px 1px 0px 1px;\\n  border-radius: 4px 4px 0 0;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-tab {\\n  border-width: 1px 3px 1px 0px;\\n  border-radius: 0 4px 4px 0;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-tab {\\n  border-width: 0px 1px 3px 1px;\\n  border-radius: 0 0 4px 4px;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-tab {\\n  border-width: 1px 0px 1px 3px;\\n  border-radius: 4px 0 0 4px;\\n}\\n.bk-root .bk-close {\\n  display: inline-block;\\n  width: 10px;\\n  height: 10px;\\n  vertical-align: middle;\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"gray\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"gray\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n.bk-root .bk-close:hover {\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"red\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"red\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n'},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(247);class _ extends o.ColumnView{}i.WidgetBoxView=_,_.__name__=\"WidgetBoxView\";class n extends o.Column{constructor(e){super(e)}static init_WidgetBox(){this.prototype.default_view=_}}i.WidgetBox=n,n.__name__=\"WidgetBox\",n.init_WidgetBox()},\n",
+       "      function _(r,a,o){Object.defineProperty(o,\"__esModule\",{value:!0});var e=r(261);o.CategoricalColorMapper=e.CategoricalColorMapper;var p=r(263);o.CategoricalMarkerMapper=p.CategoricalMarkerMapper;var l=r(264);o.CategoricalPatternMapper=l.CategoricalPatternMapper;var C=r(116);o.ContinuousColorMapper=C.ContinuousColorMapper;var M=r(117);o.ColorMapper=M.ColorMapper;var t=r(115);o.LinearColorMapper=t.LinearColorMapper;var i=r(265);o.LogColorMapper=i.LogColorMapper},\n",
+       "      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),a=r(262),c=r(117),i=o.__importStar(r(18));class s extends c.ColorMapper{constructor(r){super(r)}static init_CategoricalColorMapper(){this.define({factors:[i.Array],start:[i.Number,0],end:[i.Number]})}_v_compute(r,t,e,{nan_color:o}){a.cat_v_compute(r,this.factors,e,t,this.start,this.end,o)}}e.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(12),i=e(8);function u(e,n){if(e.length!=n.length)return!1;for(let t=0,l=e.length;t<l;t++)if(e[t]!==n[t])return!1;return!0}t._cat_equals=u,t.cat_v_compute=function(e,n,t,c,f,o,r){for(let _=0,g=e.length;_<g;_++){let g,s,d=e[_];i.isString(d)?g=l.index_of(n,d):(null!=f?d=null!=o?d.slice(f,o):d.slice(f):null!=o&&(d=d.slice(0,o)),g=1==d.length?l.index_of(n,d[0]):l.find_index(n,e=>u(e,d))),s=g<0||g>=t.length?r:t[g],c[_]=s}}},\n",
+       "      function _(r,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const t=r(1),s=r(262),i=r(118),c=t.__importStar(r(18));class n extends i.Mapper{constructor(r){super(r)}static init_CategoricalMarkerMapper(){this.define({factors:[c.Array],markers:[c.Array],start:[c.Number,0],end:[c.Number],default_value:[c.MarkerType,\"circle\"]})}v_compute(r){const e=new Array(r.length);return s.cat_v_compute(r,this.factors,this.markers,e,this.start,this.end,this.default_value),e}}a.CategoricalMarkerMapper=n,n.__name__=\"CategoricalMarkerMapper\",n.init_CategoricalMarkerMapper()},\n",
+       "      function _(t,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=t(1),n=t(262),s=t(118),i=r.__importStar(t(18));class c extends s.Mapper{constructor(t){super(t)}static init_CategoricalPatternMapper(){this.define({factors:[i.Array],patterns:[i.Array],start:[i.Number,0],end:[i.Number],default_value:[i.HatchPatternType,\" \"]})}v_compute(t){const e=new Array(t.length);return n.cat_v_compute(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=c,c.__name__=\"CategoricalPatternMapper\",c.init_CategoricalPatternMapper()},\n",
+       "      function _(o,l,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=o(116),e=o(12);class i extends t.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,l,n,t){const{nan_color:i,low_color:h,high_color:c}=t,r=n.length,s=null!=this.low?this.low:e.min(o),u=null!=this.high?this.high:e.max(o),a=r/(Math.log(u)-Math.log(s)),g=n.length-1;for(let t=0,e=o.length;t<e;t++){const e=o[t];if(isNaN(e)){l[t]=i;continue}if(e>u){l[t]=null!=c?c:n[g];continue}if(e==u){l[t]=n[g];continue}if(e<s){l[t]=null!=h?h:n[0];continue}const r=Math.log(e)-Math.log(s);let _=Math.floor(r*a);_>g&&(_=g),l[t]=n[_]}}}n.LogColorMapper=i,i.__name__=\"LogColorMapper\"},\n",
+       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0}),e(1).__exportStar(e(267),t);var a=e(268);t.Marker=a.Marker;var _=e(269);t.Scatter=_.Scatter},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(268),r=Math.sqrt(3);function n(e,t){e.rotate(Math.PI/4),c(e,t),e.rotate(-Math.PI/4)}function s(e,t){const o=t*r,i=o/3;e.moveTo(-o/2,-i),e.lineTo(0,0),e.lineTo(o/2,-i),e.lineTo(0,0),e.lineTo(0,t)}function c(e,t){e.moveTo(0,t),e.lineTo(0,-t),e.moveTo(-t,0),e.lineTo(t,0)}function l(e,t){e.moveTo(0,t),e.lineTo(t/1.5,0),e.lineTo(0,-t),e.lineTo(-t/1.5,0),e.closePath()}function a(e,t){const o=t*r,i=o/3;e.moveTo(-t,i),e.lineTo(t,i),e.lineTo(0,i-o),e.closePath()}function u(e,t,o,i,r){c(e,o),n(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function d(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function v(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),c(e,o),e.stroke())}function _(e,t,o,i,r){d(e,t,o,i,r),m(e,t,o,i,r)}function f(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),s(e,o),e.stroke())}function T(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),n(e,o),e.stroke())}function z(e,t,o,i,r){c(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function k(e,t,o,i,r){l(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function C(e,t,o,i,r){l(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.moveTo(0,o),e.lineTo(0,-o),e.moveTo(-o/1.5,0),e.lineTo(o/1.5,0),e.stroke())}function h(e,t,o,i,r){k(e,t,o,i,r),m(e,t,o,i,r)}function m(e,t,o,i,r){!function(e,t){e.beginPath(),e.arc(0,0,t/4,0,2*Math.PI,!1),e.closePath()}(e,o),i.set_vectorize(e,t),e.fillStyle=e.strokeStyle,e.fill()}function P(e,t,o,i,n){!function(e,t){const o=t/2,i=r*o;e.moveTo(t,0),e.lineTo(o,-i),e.lineTo(-o,-i),e.lineTo(-t,0),e.lineTo(-o,i),e.lineTo(o,i),e.closePath()}(e,o),n.doit&&(n.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function q(e,t,o,i,r){P(e,t,o,i,r),m(e,t,o,i)}function D(e,t,o,i,r){e.rotate(Math.PI),a(e,o),e.rotate(-Math.PI),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function g(e,t,o,i,r){const n=3*o/8,s=[n,n,o,o,n,n,-n,-n,-o,-o,-n,-n],c=[o,n,n,-n,-n,-o,-o,-n,-n,n,n,o];for(e.moveTo(s[0],c[0]),t=1;t<12;t++)e.lineTo(s[t],c[t]);e.closePath(),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function M(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function S(e,t,o,i,r){const n=3*o/8;e.moveTo(-o,-o),e.quadraticCurveTo(0,-n,o,-o),e.quadraticCurveTo(n,0,o,o),e.quadraticCurveTo(0,n,-o,o),e.quadraticCurveTo(-n,0,-o,-o),e.closePath(),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function x(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),c(e,o),e.stroke())}function I(e,t,o,i,r){M(e,t,o,i,r),m(e,t,o,i)}function p(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.moveTo(-o,o),e.lineTo(o,-o),e.moveTo(-o,-o),e.lineTo(o,o),e.stroke())}function y(e,t,o,i,r){a(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function X(e,t,o,i,r){y(e,t,o,i,r),m(e,t,o,i)}function H(e,t,o,i,n){const s=o*r,c=s/3,l=3*c/8;e.moveTo(-o,c),e.quadraticCurveTo(0,l,o,c),e.quadraticCurveTo(r*l/2,l/2,0,c-s),e.quadraticCurveTo(-r*l/2,l/2,-o,c),e.closePath(),n.doit&&(n.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function Y(e,t,o,i,r){!function(e,t){e.moveTo(-t,0),e.lineTo(t,0)}(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function b(e,t,o,i,r){n(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function w(e,t,o,i,r){s(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function A(e,t){var o;const r=class extends i.MarkerView{static initClass(){this.prototype._render_one=t}};r.initClass();const n=((o=class extends i.Marker{static initClass(){this.prototype.default_view=r}}).__name__=e,o);return n.initClass(),n}o.Asterisk=A(\"Asterisk\",u),o.CircleCross=A(\"CircleCross\",v),o.CircleDot=A(\"CircleDot\",_),o.CircleY=A(\"CircleY\",f),o.CircleX=A(\"CircleX\",T),o.Cross=A(\"Cross\",z),o.Dash=A(\"Dash\",Y),o.Diamond=A(\"Diamond\",k),o.DiamondCross=A(\"DiamondCross\",C),o.DiamondDot=A(\"DiamondDot\",h),o.Dot=A(\"Dot\",m),o.Hex=A(\"Hex\",P),o.HexDot=A(\"HexDot\",q),o.InvertedTriangle=A(\"InvertedTriangle\",D),o.Plus=A(\"Plus\",g),o.Square=A(\"Square\",M),o.SquareCross=A(\"SquareCross\",x),o.SquareDot=A(\"SquareDot\",I),o.SquarePin=A(\"SquarePin\",S),o.SquareX=A(\"SquareX\",p),o.Triangle=A(\"Triangle\",y),o.TriangleDot=A(\"TriangleDot\",X),o.TrianglePin=A(\"TrianglePin\",H),o.X=A(\"X\",b),o.Y=A(\"Y\",w),o.marker_funcs={asterisk:u,circle:d,circle_cross:v,circle_dot:_,circle_y:f,circle_x:T,cross:z,diamond:k,diamond_dot:h,diamond_cross:C,dot:m,hex:P,hex_dot:q,inverted_triangle:D,plus:g,square:M,square_cross:x,square_dot:I,square_pin:S,square_x:p,triangle:y,triangle_dot:X,triangle_pin:H,dash:Y,x:b,y:w}},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(23),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(9),c=e(79);class o extends r.XYGlyphView{_render(e,s,{sx:t,sy:i,_size:r,_angle:n}){for(const a of s){if(isNaN(t[a]+i[a]+r[a]+n[a]))continue;const s=r[a]/2;e.beginPath(),e.translate(t[a],i[a]),n[a]&&e.rotate(n[a]),this._render_one(e,a,s,this.visuals.line,this.visuals.fill),n[a]&&e.rotate(-n[a]),e.translate(-t[a],-i[a])}}_mask_data(){const e=this.renderer.plot_view.frame.bbox.h_range,s=e.start-this.max_size,t=e.end+this.max_size,[i,r]=this.renderer.xscale.r_invert(s,t),n=this.renderer.plot_view.frame.bbox.v_range,a=n.start-this.max_size,_=n.end+this.max_size,[h,c]=this.renderer.yscale.r_invert(a,_);return this.index.indices({x0:i,x1:r,y0:h,y1:c})}_hit_point(e){const{sx:s,sy:t}=e,i=s-this.max_size,r=s+this.max_size,[n,a]=this.renderer.xscale.r_invert(i,r),_=t-this.max_size,h=t+this.max_size,[o,x]=this.renderer.yscale.r_invert(_,h),l=this.index.indices({x0:n,x1:a,y0:o,y1:x}),d=[];for(const e of l){const i=this._size[e]/2,r=Math.abs(this.sx[e]-s)+Math.abs(this.sy[e]-t);Math.abs(this.sx[e]-s)<=i&&Math.abs(this.sy[e]-t)<=i&&d.push([e,r])}return c.Selection.from_hits(d)}_hit_span(e){const{sx:s,sy:t}=e,i=this.bounds(),r=this.max_size/2;let n,a,_,h;if(\"h\"==e.direction){_=i.y0,h=i.y1;const e=s-r,t=s+r;[n,a]=this.renderer.xscale.r_invert(e,t)}else{n=i.x0,a=i.x1;const e=t-r,s=t+r;[_,h]=this.renderer.yscale.r_invert(e,s)}const o=this.index.indices({x0:n,x1:a,y0:_,y1:h});return new c.Selection({indices:o})}_hit_rect(e){const{sx0:s,sx1:t,sy0:i,sy1:r}=e,[n,a]=this.renderer.xscale.r_invert(s,t),[_,h]=this.renderer.yscale.r_invert(i,r),o=this.index.indices({x0:n,x1:a,y0:_,y1:h});return new c.Selection({indices:o})}_hit_poly(e){const{sx:s,sy:t}=e,i=h.range(0,this.sx.length),r=[];for(let e=0,n=i.length;e<n;e++){const n=i[e];a.point_in_poly(this.sx[e],this.sy[e],s,t)&&r.push(n)}return new c.Selection({indices:r})}draw_legend_for_index(e,{x0:s,x1:t,y0:i,y1:r},n){const a=n+1,_=new Array(a);_[n]=(s+t)/2;const h=new Array(a);h[n]=(i+r)/2;const c=new Array(a);c[n]=.4*Math.min(Math.abs(t-s),Math.abs(r-i));const o=new Array(a);o[n]=0,this._render(e,[n],{sx:_,sy:h,_size:c,_angle:o})}}t.MarkerView=o,o.__name__=\"MarkerView\";class x extends r.XYGlyph{constructor(e){super(e)}static init_Marker(){this.mixins([n.LineVector,n.FillVector]),this.define({size:[_.DistanceSpec,{units:\"screen\",value:4}],angle:[_.AngleSpec,0]})}}t.Marker=x,x.__name__=\"Marker\",x.init_Marker()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=e(1),s=e(268),n=e(267),i=a.__importStar(e(18));class _ extends s.MarkerView{_render(e,t,{sx:r,sy:a,_size:s,_angle:i,_marker:_}){for(const c of t){if(isNaN(r[c]+a[c]+s[c]+i[c])||null==_[c])continue;const t=s[c]/2;e.beginPath(),e.translate(r[c],a[c]),i[c]&&e.rotate(i[c]),n.marker_funcs[_[c]](e,c,t,this.visuals.line,this.visuals.fill),i[c]&&e.rotate(-i[c]),e.translate(-r[c],-a[c])}}draw_legend_for_index(e,{x0:t,x1:r,y0:a,y1:s},n){const i=n+1,_=new Array(i);_[n]=(t+r)/2;const c=new Array(i);c[n]=(a+s)/2;const o=new Array(i);o[n]=.4*Math.min(Math.abs(r-t),Math.abs(s-a));const l=new Array(i);l[n]=0;const u=new Array(i);u[n]=this._marker[n],this._render(e,[n],{sx:_,sy:c,_size:o,_angle:l,_marker:u})}}r.ScatterView=_,_.__name__=\"ScatterView\";class c extends s.Marker{constructor(e){super(e)}static init_Scatter(){this.prototype.default_view=_,this.define({marker:[i.MarkerSpec,{value:\"circle\"}]})}}r.Scatter=c,c.__name__=\"Scatter\",c.init_Scatter()},\n",
+       "      function _(a,o,p){Object.defineProperty(p,\"__esModule\",{value:!0});var t=a(271);p.MapOptions=t.MapOptions;var e=a(271);p.GMapOptions=e.GMapOptions;var n=a(271);p.GMapPlot=n.GMapPlot;var M=a(272);p.Plot=M.Plot},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),n=t(72),a=t(272),s=o.__importStar(t(18)),p=t(71),r=t(131),_=t(296);i.GMapPlotView=_.GMapPlotView;class l extends p.Model{constructor(t){super(t)}static init_MapOptions(){this.define({lat:[s.Number],lng:[s.Number],zoom:[s.Number,12]})}}i.MapOptions=l,l.__name__=\"MapOptions\",l.init_MapOptions();class c extends l{constructor(t){super(t)}static init_GMapOptions(){this.define({map_type:[s.String,\"roadmap\"],scale_control:[s.Boolean,!1],styles:[s.String],tilt:[s.Int,45]})}}i.GMapOptions=c,c.__name__=\"GMapOptions\",c.init_GMapOptions();class u extends a.Plot{constructor(t){super(t)}static init_GMapPlot(){this.prototype.default_view=_.GMapPlotView,this.define({map_options:[s.Instance],api_key:[s.String]}),this.override({x_range:()=>new r.Range1d,y_range:()=>new r.Range1d})}initialize(){super.initialize(),this.use_map=!0,this.api_key||n.logger.error(\"api_key is required. See https://developers.google.com/maps/documentation/javascript/get-api-key for more information on how to obtain your own.\")}}i.GMapPlot=u,u.__name__=\"GMapPlot\",u.init_GMapPlot()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),o=i.__importStar(e(23)),n=i.__importStar(e(18)),s=e(14),a=e(9),l=e(17),_=e(8),h=e(245),c=e(142),u=e(120),d=e(273),b=e(76),g=e(81),p=e(186),m=e(290);r.PlotView=m.PlotView;class f extends h.LayoutDOM{constructor(e){super(e)}static init_Plot(){this.prototype.default_view=m.PlotView,this.mixins([[\"outline_\",o.Line],[\"background_\",o.Fill],[\"border_\",o.Fill]]),this.define({toolbar:[n.Instance,()=>new d.Toolbar],toolbar_location:[n.Location,\"right\"],toolbar_sticky:[n.Boolean,!0],plot_width:[n.Number,600],plot_height:[n.Number,600],frame_width:[n.Number,null],frame_height:[n.Number,null],title:[n.Any,()=>new c.Title({text:\"\"})],title_location:[n.Location,\"above\"],above:[n.Array,[]],below:[n.Array,[]],left:[n.Array,[]],right:[n.Array,[]],center:[n.Array,[]],renderers:[n.Array,[]],x_range:[n.Instance,()=>new p.DataRange1d],extra_x_ranges:[n.Any,{}],y_range:[n.Instance,()=>new p.DataRange1d],extra_y_ranges:[n.Any,{}],x_scale:[n.Instance,()=>new u.LinearScale],y_scale:[n.Instance,()=>new u.LinearScale],lod_factor:[n.Number,10],lod_interval:[n.Number,300],lod_threshold:[n.Number,2e3],lod_timeout:[n.Number,500],hidpi:[n.Boolean,!0],output_backend:[n.OutputBackend,\"canvas\"],min_border:[n.Number,5],min_border_top:[n.Number,null],min_border_left:[n.Number,null],min_border_bottom:[n.Number,null],min_border_right:[n.Number,null],inner_width:[n.Number],inner_height:[n.Number],outer_width:[n.Number],outer_height:[n.Number],match_aspect:[n.Boolean,!1],aspect_scale:[n.Number,1],reset_policy:[n.ResetPolicy,\"standard\"]}),this.override({outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})}get width(){const e=this.properties.width.get_value();return null!=e?e:this.plot_width}set width(e){this.setv({width:e,plot_width:e})}get height(){const e=this.properties.height.get_value();return null!=e?e:this.plot_height}set height(e){this.setv({height:e,plot_height:e})}_doc_attached(){super._doc_attached(),this._push_changes([[this.properties.inner_height,null,this.inner_height],[this.properties.inner_width,null,this.inner_width]])}initialize(){super.initialize(),this.reset=new s.Signal0(this,\"reset\");for(const e of l.values(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;_.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of l.values(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;_.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const r=this.properties[t].get_value();this.setv({[t]:[...r,e]})}remove_layout(e){const t=t=>{a.remove_by(t,t=>t==e)};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new b.ColumnDataSource,r={}){const i=Object.assign(Object.assign({},r),{data_source:t,glyph:e}),o=new g.GlyphRenderer(i);return this.add_renderers(o),o}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return[...this.side_panels,...this.center]}get side_panels(){const{above:e,below:t,left:r,right:i}=this;return a.concat([e,t,r,i])}}r.Plot=f,f.__name__=\"Plot\",f.init_Plot()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),c=t(8),o=t(9),n=t(274),a=t(283),l=t=>{switch(t){case\"tap\":return\"active_tap\";case\"pan\":return\"active_drag\";case\"pinch\":case\"scroll\":return\"active_scroll\";case\"multi\":return\"active_multi\"}return null},r=t=>\"tap\"==t||\"pan\"==t;class _ extends a.ToolbarBase{constructor(t){super(t)}static init_Toolbar(){this.prototype.default_view=a.ToolbarBaseView,this.define({active_drag:[i.Any,\"auto\"],active_inspect:[i.Any,\"auto\"],active_scroll:[i.Any,\"auto\"],active_tap:[i.Any,\"auto\"],active_multi:[i.Any,null]})}connect_signals(){super.connect_signals();const{tools:t,active_drag:s,active_inspect:e,active_scroll:i,active_tap:c,active_multi:o}=this.properties;this.on_change([t,s,e,i,c,o],()=>this._init_tools())}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof n.InspectTool){let t=!1;for(const s of this.inspectors)s!=this.active_inspect?s.active=!1:t=!0;t||(this.active_inspect=null)}else if(c.isArray(this.active_inspect)){const t=o.intersection(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)o.includes(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t in this.gestures){const s=this.gestures[t];s.tools=o.sort_by(s.tools,t=>t.default_order);for(const t of s.tools)this.connect(t.properties.active.change,()=>this._active_change(t))}for(const s in this.gestures){const e=l(s);if(e){const i=this[e];if(\"auto\"==i){const e=this.gestures[s];0!=e.tools.length&&r(s)&&t(e.tools[0])}else null!=i&&(o.includes(this.tools,i)?t(i):this[e]=null)}}}}e.Toolbar=_,_.__name__=\"Toolbar\",_.init_Toolbar()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(1),s=e(275),i=e(282),_=n.__importStar(e(18));class c extends s.ButtonToolView{}o.InspectToolView=c,c.__name__=\"InspectToolView\";class l extends s.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}static init_InspectTool(){this.prototype.button_view=i.OnOffButtonView,this.define({toggleable:[_.Boolean,!0]}),this.override({active:!0})}}o.InspectTool=l,l.__name__=\"InspectTool\",l.init_InspectTool()},\n",
+       "      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),s=i.__importDefault(t(276)),n=t(66),l=t(277),r=t(68),a=i.__importStar(t(18)),u=t(24),_=t(8),h=t(9),c=t(278),m=i.__importDefault(t(279)),d=i.__importDefault(t(280)),p=i.__importDefault(t(257)),f=t(281);class g extends n.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,i=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new f.ContextMenu(o?h.reversed(t):t,{orientation:i,prevent_hide:t=>t.target==this.el})}this._hammer=new s.default(this.el,{touchAction:\"auto\",inputClass:s.default.TouchMouseInput}),this.connect(this.model.change,()=>this.render()),this._hammer.on(\"tap\",t=>{var e;(null===(e=this._menu)||void 0===e?void 0:e.is_open)?this._menu.hide():t.target==this.el&&this._clicked()}),this._hammer.on(\"press\",()=>this._pressed())}remove(){var t;this._hammer.destroy(),null===(t=this._menu)||void 0===t||t.remove(),super.remove()}styles(){return[...super.styles(),m.default,d.default,p.default]}css_classes(){return super.css_classes().concat(c.bk_toolbar_button)}render(){r.empty(this.el);const t=this.model.computed_icon;_.isString(t)&&(u.startsWith(t,\"data:image\")?this.el.style.backgroundImage=\"url('\"+t+\"')\":this.el.classList.add(t)),this.el.title=this.model.tooltip,null!=this._menu&&this.root.el.appendChild(this._menu.el)}_pressed(){var t;const{left:e,top:o,right:i,bottom:s}=this.el.getBoundingClientRect(),n=(()=>{switch(this.parent.model.toolbar_location){case\"right\":return{right:e,top:o};case\"left\":return{left:i,top:o};case\"above\":return{left:e,top:s};case\"below\":return{left:e,bottom:o}}})();null===(t=this._menu)||void 0===t||t.toggle(n)}}o.ButtonToolButtonView=g,g.__name__=\"ButtonToolButtonView\";class v extends l.ToolView{}o.ButtonToolView=v,v.__name__=\"ButtonToolView\";class b extends l.Tool{constructor(t){super(t)}static init_ButtonTool(){this.internal({disabled:[a.Boolean,!1]})}get tooltip(){return this.tool_name}get computed_icon(){return this.icon}get menu(){return null}}o.ButtonTool=b,b.__name__=\"ButtonTool\",b.init_ButtonTool()},\n",
+       "      function _(t,e,n){\n",
+       "      /*! Hammer.JS - v2.0.7 - 2016-04-22\n",
+       "           * http://hammerjs.github.io/\n",
+       "           *\n",
+       "           * Copyright (c) 2016 Jorik Tangelder;\n",
+       "           * Licensed under the MIT license */\n",
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i(n){e.manager.emit(n,t)}n<8&&i(e.options.event+ft(n)),i(e.options.event),t.additionalEvent&&i(t.additionalEvent),n>=8&&i(e.options.event+ft(n))},tryEmit:function(t){if(this.canEmit())return this.emit(t);this.state=32},canEmit:function(){for(var t=0;t<this.requireFail.length;){if(!(33&this.requireFail[t].state))return!1;t++}return!0},recognize:function(t){var e=s({},t);if(!T(this.options.enable,[this,e]))return this.reset(),void(this.state=32);56&this.state&&(this.state=1),this.state=this.process(e),30&this.state&&this.tryEmit(e)},process:function(t){},getTouchAction:function(){},reset:function(){}},g(mt,pt,{defaults:{pointers:1},attrTest:function(t){var e=this.options.pointers;return 0===e||t.pointers.length===e},process:function(t){var e=this.state,n=t.eventType,i=6&e,r=this.attrTest(t);return i&&(8&n||!r)?16|e:i||r?4&n?8|e:2&e?4|e:2:32}}),g(gt,mt,{defaults:{event:\"pan\",threshold:10,pointers:1,direction:30},getTouchAction:function(){var t=this.options.direction,e=[];return 6&t&&e.push(\"pan-y\"),24&t&&e.push(\"pan-x\"),e},directionTest:function(t){var e=this.options,n=!0,i=t.distance,r=t.direction,s=t.deltaX,o=t.deltaY;return r&e.direction||(6&e.direction?(r=0===s?1:s<0?2:4,n=s!=this.pX,i=Math.abs(t.deltaX)):(r=0===o?1:o<0?8:16,n=o!=this.pY,i=Math.abs(t.deltaY))),t.direction=r,n&&i>e.threshold&&r&e.direction},attrTest:function(t){return mt.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=vt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(yt,mt,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(Tt,pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[\"auto\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime>e.time;if(this._input=t,!i||!n||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return 32},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Et,mt,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(It,mt,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return gt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,n=this.options.direction;return 30&n?e=t.overallVelocity:6&n?e=t.overallVelocityX:24&n&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&n&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=vt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(At,pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[\"manipulation\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime<e.time;if(this.reset(),1&t.eventType&&0===this.count)return this.failTimeout();if(i&&r&&n){if(4!=t.eventType)return this.failTimeout();var s=!this.pTime||t.timeStamp-this.pTime<e.interval,o=!this.pCenter||L(this.pCenter,t.center)<e.posThreshold;if(this.pTime=t.timeStamp,this.pCenter=t.center,o&&s?this.count+=1:this.count=1,this._input=t,0===this.count%e.taps)return this.hasRequireFailures()?(this._timer=l((function(){this.state=8,this.tryEmit()}),e.interval,this),2):8}return 32},failTimeout:function(){return this._timer=l((function(){this.state=32}),this.options.interval,this),32},reset:function(){clearTimeout(this._timer)},emit:function(){8==this.state&&(this._input.tapCount=this.count,this.manager.emit(this.options.event,this._input))}}),_t.VERSION=\"2.0.7\",_t.defaults={domEvents:!1,touchAction:\"compute\",enable:!0,inputTarget:null,inputClass:null,preset:[[Et,{enable:!1}],[yt,{enable:!1},[\"rotate\"]],[It,{direction:6}],[gt,{direction:6},[\"swipe\"]],[At],[At,{event:\"doubletap\",taps:2},[\"tap\"]],[Tt]],cssProps:{userSelect:\"none\",touchSelect:\"none\",touchCallout:\"none\",contentZooming:\"none\",userDrag:\"none\",tapHighlightColor:\"rgba(0,0,0,0)\"}};function Ct(t,e){var n;this.options=s({},_t.defaults,e||{}),this.options.inputTarget=this.options.inputTarget||t,this.handlers={},this.session={},this.recognizers=[],this.oldCssProps={},this.element=t,this.input=new((n=this).options.inputClass||(M?J:z?nt:R?rt:j))(n,F),this.touchAction=new lt(this,this.options.touchAction),St(this,!0),f(this.options.recognizers,(function(t){var e=this.add(new t[0](t[1]));t[2]&&e.recognizeWith(t[2]),t[3]&&e.requireFailure(t[3])}),this)}function St(t,e){var n,i=t.element;i.style&&(f(t.options.cssProps,(function(r,s){n=D(i.style,s),e?(t.oldCssProps[n]=i.style[n],i.style[n]=r):i.style[n]=t.oldCssProps[n]||\"\"})),e||(t.oldCssProps={}))}Ct.prototype={set:function(t){return s(this.options,t),t.touchAction&&this.touchAction.update(),t.inputTarget&&(this.input.destroy(),this.input.target=t.inputTarget,this.input.init()),this},stop:function(t){this.session.stopped=t?2:1},recognize:function(t){var e=this.session;if(!e.stopped){var n;this.touchAction.preventDefaults(t);var i=this.recognizers,r=e.curRecognizer;(!r||r&&8&r.state)&&(r=e.curRecognizer=null);for(var s=0;s<i.length;)n=i[s],2===e.stopped||r&&n!=r&&!n.canRecognizeWith(r)?n.reset():n.recognize(t),!r&&14&n.state&&(r=e.curRecognizer=n),s++}},get:function(t){if(t instanceof pt)return t;for(var e=this.recognizers,n=0;n<e.length;n++)if(e[n].options.event==t)return e[n];return null},add:function(t){if(p(t,\"add\",this))return this;var e=this.get(t.options.event);return e&&this.remove(e),this.recognizers.push(t),t.manager=this,this.touchAction.update(),t},remove:function(t){if(p(t,\"remove\",this))return this;if(t=this.get(t)){var e=this.recognizers,n=b(e,t);-1!==n&&(e.splice(n,1),this.touchAction.update())}return this},on:function(t,e){if(void 0!==t&&void 0!==e){var n=this.handlers;return f(S(t),(function(t){n[t]=n[t]||[],n[t].push(e)})),this}},off:function(t,e){if(void 0!==t){var n=this.handlers;return f(S(t),(function(t){e?n[t]&&n[t].splice(b(n[t],e),1):delete n[t]})),this}},emit:function(t,e){this.options.domEvents&&function(t,e){var i=n.createEvent(\"Event\");i.initEvent(t,!0,!0),i.gesture=e,e.target.dispatchEvent(i)}(t,e);var i=this.handlers[t]&&this.handlers[t].slice();if(i&&i.length){e.type=t,e.preventDefault=function(){e.srcEvent.preventDefault()};for(var r=0;r<i.length;)i[r](e),r++}},destroy:function(){this.element&&St(this,!1),this.handlers={},this.session={},this.input.destroy(),this.element=null}},s(_t,{INPUT_START:1,INPUT_MOVE:2,INPUT_END:4,INPUT_CANCEL:8,STATE_POSSIBLE:1,STATE_BEGAN:2,STATE_CHANGED:4,STATE_ENDED:8,STATE_RECOGNIZED:8,STATE_CANCELLED:16,STATE_FAILED:32,DIRECTION_NONE:1,DIRECTION_LEFT:2,DIRECTION_RIGHT:4,DIRECTION_UP:8,DIRECTION_DOWN:16,DIRECTION_HORIZONTAL:6,DIRECTION_VERTICAL:24,DIRECTION_ALL:30,Manager:Ct,Input:Y,TouchAction:lt,TouchInput:nt,MouseInput:j,PointerEventInput:J,TouchMouseInput:rt,SingleTouchInput:Q,Recognizer:pt,AttrRecognizer:mt,Tap:At,Pan:gt,Swipe:It,Pinch:yt,Rotate:Et,Press:Tt,on:I,off:A,each:f,merge:m,extend:d,assign:s,inherit:g,bindFn:y,prefixed:D}),(void 0!==t?t:\"undefined\"!=typeof self?self:{}).Hammer=_t,\"function\"==typeof define&&define.amd?define((function(){return _t})):void 0!==e&&e.exports?e.exports=_t:t.Hammer=_t}(window,document)},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1).__importStar(t(18)),o=t(67),s=t(9),a=t(71);class r extends o.View{get plot_view(){return this.parent}get plot_model(){return this.parent.model}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>{this.model.active?this.activate():this.deactivate()})}activate(){}deactivate(){}}i.ToolView=r,r.__name__=\"ToolView\";class _ extends a.Model{constructor(t){super(t)}static init_Tool(){this.prototype._known_aliases=new Map,this.internal({active:[n.Boolean,!1]})}get synthetic_renderers(){return[]}_get_dim_tooltip(t,e){switch(e){case\"width\":return t+\" (x-axis)\";case\"height\":return t+\" (y-axis)\";case\"both\":return t}}_get_dim_limits([t,e],[i,n],o,a){const r=o.bbox.h_range;let _;\"width\"==a||\"both\"==a?(_=[s.min([t,i]),s.max([t,i])],_=[s.max([_[0],r.start]),s.min([_[1],r.end])]):_=[r.start,r.end];const l=o.bbox.v_range;let c;return\"height\"==a||\"both\"==a?(c=[s.min([e,n]),s.max([e,n])],c=[s.max([c[0],l.start]),s.min([c[1],l.end])]):c=[l.start,l.end],[_,c]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}i.Tool=_,_.__name__=\"Tool\",_.init_Tool()},\n",
+       "      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_toolbar=\"bk-toolbar\",t.bk_toolbar_hidden=\"bk-toolbar-hidden\",t.bk_toolbar_button=\"bk-toolbar-button\",t.bk_button_bar=\"bk-button-bar\",t.bk_toolbar_button_custom_action=\"bk-toolbar-button-custom-action\"},\n",
+       "      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-toolbar-hidden {\\n  visibility: hidden;\\n  opacity: 0;\\n  transition: visibility 0.3s linear, opacity 0.3s linear;\\n}\\n.bk-root .bk-toolbar,\\n.bk-root .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-toolbar .bk-logo {\\n  flex-shrink: 0;\\n  -webkit-flex-shrink: 0;\\n}\\n.bk-root .bk-toolbar.bk-above,\\n.bk-root .bk-toolbar.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n  justify-content: flex-end;\\n  -webkit-justify-content: flex-end;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-logo,\\n.bk-root .bk-toolbar.bk-below .bk-logo {\\n  order: 1;\\n  -webkit-order: 1;\\n  margin-left: 5px;\\n  margin-right: 0px;\\n}\\n.bk-root .bk-toolbar.bk-left,\\n.bk-root .bk-toolbar.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  justify-content: flex-start;\\n  -webkit-justify-content: flex-start;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-logo,\\n.bk-root .bk-toolbar.bk-right .bk-logo {\\n  order: 0;\\n  -webkit-order: 0;\\n  margin-bottom: 5px;\\n  margin-top: 0px;\\n}\\n.bk-root .bk-toolbar-button {\\n  width: 30px;\\n  height: 30px;\\n  cursor: pointer;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-toolbar-button:hover {\\n  background-color: rgba(192, 192, 192, 0.15);\\n}\\n.bk-root .bk-toolbar-button:focus {\\n  outline: none;\\n}\\n.bk-root .bk-toolbar-button::-moz-focus-inner {\\n  border: 0;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button {\\n  border-bottom: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button.bk-active {\\n  border-bottom-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button {\\n  border-top: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button.bk-active {\\n  border-top-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button {\\n  border-left: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button.bk-active {\\n  border-left-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button {\\n  border-right: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button.bk-active {\\n  border-right-color: #26aae1;\\n}\\n.bk-root .bk-button-bar + .bk-button-bar:before {\\n  content: \" \";\\n  display: inline-block;\\n  background-color: lightgray;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar + .bk-button-bar:before {\\n  height: 10px;\\n  width: 1px;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar + .bk-button-bar:before {\\n  height: 1px;\\n  width: 10px;\\n}\\n'},\n",
+       "      function _(A,g,C){Object.defineProperty(C,\"__esModule\",{value:!0});C.default='\\n.bk-root .bk-tool-icon-replace-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxokK3gniQAAAHpJREFUWMNjXLhsJcNAAiaGAQajDhhwB7DgEP+PxmeksvjgDwFcLmYkUh2hkBj8IcBIZXsYh1w2/I8v3sgAOM0bLYhGc8GgrwuICgldfQO88pcvXvg/aOuCUQeM5oLRuoCFCJcTbOMh5XOiW0JDNhdQS3y0IBp1ABwAAF8KGrhC1Eg6AAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-append-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkZWD04WwAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAAAoUlEQVRYw+1WQQ6AIAwrhO8Y/bIXEz9jIMSDr8ETCUEPQzA4pMeFLKNbu4l5WR0CDOMEALBGIzMuQIBEZQjPgP9JLjwTfBjY9sO9lZsFA9IafZng3BlIyVefgd8XQFZBAWe8jfNxwsDhir6rzoCiPiy1K+J8/FRQemv2XfAdFcQ9znU4Viqg9ta1qYJ+D1BnAIBrkgGVOrXNqUA9rbyZm/AEzFh4jEeY/soAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-intersect-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkrkOpp2wAAAPhJREFUWMPtV1EKwjAMTUavI3oawR/vtn5srJdREfzwMvHHQlcT2mpdMzFfWxiP5r2+JMN+mAiCOB72CABgR1cln4oOGocJnuMTSxWk8jMm7OggYkYXA9gPE3uyd8NXHONJ+eYMdE/NqCJmEZ5ZqlJJ4sUksKN7cYSaPoCZFWR1QI+Xm1fBACU63Cw22x0AAJxudwrffVwvZ+JmQdAHZkw0d4EpAMCw8k87pMdbnwtizQumJYv3nwV6XOA1qbUT/oQLUJgFRbsiNwFVucBIlyR3p0tdMp+XmFjfLKi1LatyAXtCRjPWBdL3Ke3VuACJKFfDr/xFN2fgAR/Go0qaLlmEAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-subtract-mode {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-clear-selection {\\n  background-image: 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url(\"data:image/png;base64,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\");\\n}\\n'},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(68),o=n.__importStar(t(255));class l{constructor(t,e={}){this.items=t,this.options=e,this.el=s.div(),this._open=!1,this._item_click=t=>{var e;null===(e=this.items[t])||void 0===e||e.handler(),this.hide()},this._on_mousedown=t=>{var e,i;const{target:n}=t;n instanceof Node&&this.el.contains(n)||(null===(i=(e=this.options).prevent_hide)||void 0===i?void 0:i.call(e,t))||this.hide()},this._on_keydown=t=>{t.keyCode==s.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},s.undisplay(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){s.remove(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=e.getBoundingClientRect();this.el.style.left=null!=t.left?t.left-i.left+\"px\":\"\",this.el.style.top=null!=t.top?t.top-i.top+\"px\":\"\",this.el.style.right=null!=t.right?i.right-t.right+\"px\":\"\",this.el.style.bottom=null!=t.bottom?i.bottom-t.bottom+\"px\":\"\"}}render(){var t;s.empty(this.el,!0);const e=null!==(t=this.options.orientation)&&void 0!==t?t:\"vertical\";s.classes(this.el).add(\"bk-context-menu\",\"bk-\"+e),s.append(this.el,...this.items.map((t,e)=>{var i;let n;if(null!=t){const e=null!=t.icon?s.div({class:[\"bk-menu-icon\",t.icon]}):null;n=s.div({class:(null===(i=t.active)||void 0===i?void 0:i.call(t))?\"bk-active\":null,title:t.tooltip},e,t.label)}else n=s.div({class:o.bk_divider});return n.addEventListener(\"click\",()=>this._item_click(e)),n}))}show(t){0!=this.items.length&&(this._open||(this.render(),this._position(null!=t?t:{left:0,top:0}),s.display(this.el),this._listen(),this._open=!0))}hide(){this._open&&(this._open=!1,this._unlisten(),s.undisplay(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=l,l.__name__=\"ContextMenu\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(275),i=e(146),s=e(68);class c extends o.ButtonToolButtonView{render(){super.render(),s.classes(this.el).toggle(i.bk_active,this.model.active)}_clicked(){const{active:e}=this.model;this.model.active=!e}}n.OnOffButtonView=c,c.__name__=\"OnOffButtonView\"},\n",
+       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(72),l=t(68),n=t(99),a=i.__importStar(t(18)),r=t(66),_=t(9),c=t(8),h=t(71),u=t(284),v=t(285),d=t(286),b=t(274),p=t(278),g=t(288),f=t(146),m=i.__importDefault(t(279)),w=i.__importDefault(t(289));class y extends h.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define({_visible:[a.Any,null],autohide:[a.Boolean,!1]})}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=y,y.__name__=\"ToolbarViewModel\",y.init_ToolbarViewModel();class T extends r.DOMView{initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new y({autohide:this.model.autohide})}async lazy_initialize(){await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,async()=>{await this._build_tool_button_views(),this.render()}),this.connect(this.model.properties.autohide.change,()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()}),this.connect(this._toolbar_view_model.properties._visible.change,()=>this._on_visible_change())}styles(){return[...super.styles(),m.default,w.default]}remove(){n.remove_views(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await n.build_views(this._tool_button_views,t,{parent:this},t=>t.button_view)}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const t=this._toolbar_view_model.visible,o=p.bk_toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(l.empty(this.el),this.el.classList.add(p.bk_toolbar),this.el.classList.add(f.bk_side(this.model.toolbar_location)),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?g.bk_grey:null,o=l.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[g.bk_logo,g.bk_logo_small,t]});this.el.appendChild(o)}for(const[,t]of this._tool_button_views)t.render();const t=[],o=t=>this._tool_button_views.get(t).el,{gestures:e}=this.model;for(const i in e)t.push(e[i].tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter(t=>t.toggleable).map(o));for(const o of t)if(0!==o.length){const t=l.div({class:p.bk_button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}}function k(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=T,T.__name__=\"ToolbarBaseView\";class M extends h.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=T,this.define({tools:[a.Array,[]],logo:[a.Logo,\"normal\"],autohide:[a.Boolean,!1]}),this.internal({gestures:[a.Any,k],actions:[a.Array,[]],inspectors:[a.Array,[]],help:[a.Array,[]],toolbar_location:[a.Location,\"right\"]})}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map(t=>t.id));return _.some(t,t=>!e.has(t.id))},o=this.tools.filter(t=>t instanceof b.InspectTool);t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter(t=>t instanceof d.HelpTool);t(this.help,e)&&(this.help=e);const i=this.tools.filter(t=>t instanceof v.ActionTool);t(this.actions,i)&&(this.actions=i);const l=(t,o)=>{t in this.gestures||s.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},n={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof u.GestureTool&&t.event_type)if(c.isString(t.event_type))n[t.event_type].tools.push(t),l(t.event_type,t);else{n.multi.tools.push(t);for(const o of t.event_type)l(o,t)}for(const o of Object.keys(n)){const e=this.gestures[o];t(e.tools,n[o].tools)&&(e.tools=n[o].tools),e.active&&_.every(e.tools,t=>t.id!=e.active.id)&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=c.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(s.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,s.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=M,M.__name__=\"ToolbarBase\",M.init_ToolbarBase()},\n",
+       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(275),n=e(282);class u extends s.ButtonToolView{}t.GestureToolView=u,u.__name__=\"GestureToolView\";class _ extends s.ButtonTool{constructor(e){super(e),this.button_view=n.OnOffButtonView}}t.GestureTool=_,_.__name__=\"GestureTool\"},\n",
+       "      function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=o(275),i=o(14);class s extends e.ButtonToolButtonView{_clicked(){this.model.do.emit()}}n.ActionToolButtonView=s,s.__name__=\"ActionToolButtonView\";class c extends e.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,()=>this.doit())}}n.ActionToolView=c,c.__name__=\"ActionToolView\";class l extends e.ButtonTool{constructor(o){super(o),this.button_view=s,this.do=new i.Signal0(this,\"do\")}}n.ActionTool=l,l.__name__=\"ActionTool\"},\n",
+       "      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(1),l=o(285),s=i.__importStar(o(18)),n=o(287);class _ extends l.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=_,_.__name__=\"HelpToolView\";class r extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.bk_tool_icon_help}static init_HelpTool(){this.prototype.default_view=_,this.define({help_tooltip:[s.String,\"Click the question mark to learn more about Bokeh plot tools.\"],redirect:[s.String,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}),this.register_alias(\"help\",()=>new r)}get tooltip(){return this.help_tooltip}}t.HelpTool=r,r.__name__=\"HelpTool\",r.init_HelpTool()},\n",
+       "      function _(o,_,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tool_icon_box_select=\"bk-tool-icon-box-select\",l.bk_tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",l.bk_tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",l.bk_tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",l.bk_tool_icon_help=\"bk-tool-icon-help\",l.bk_tool_icon_hover=\"bk-tool-icon-hover\",l.bk_tool_icon_crosshair=\"bk-tool-icon-crosshair\",l.bk_tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",l.bk_tool_icon_pan=\"bk-tool-icon-pan\",l.bk_tool_icon_xpan=\"bk-tool-icon-xpan\",l.bk_tool_icon_ypan=\"bk-tool-icon-ypan\",l.bk_tool_icon_range=\"bk-tool-icon-range\",l.bk_tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",l.bk_tool_icon_redo=\"bk-tool-icon-redo\",l.bk_tool_icon_reset=\"bk-tool-icon-reset\",l.bk_tool_icon_save=\"bk-tool-icon-save\",l.bk_tool_icon_tap_select=\"bk-tool-icon-tap-select\",l.bk_tool_icon_undo=\"bk-tool-icon-undo\",l.bk_tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",l.bk_tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",l.bk_tool_icon_box_edit=\"bk-tool-icon-box-edit\",l.bk_tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",l.bk_tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",l.bk_tool_icon_point_draw=\"bk-tool-icon-point-draw\",l.bk_tool_icon_poly_edit=\"bk-tool-icon-poly-edit\",l.bk_tool_icon_line_edit=\"bk-tool-icon-line-edit\"},\n",
+       "      function _(o,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_logo=\"bk-logo\",b.bk_logo_notebook=\"bk-logo-notebook\",b.bk_logo_small=\"bk-logo-small\",b.bk_grey=\"bk-grey\"},\n",
+       "      function _(l,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-logo {\\n  margin: 5px;\\n  position: relative;\\n  display: block;\\n  background-repeat: no-repeat;\\n}\\n.bk-root .bk-logo.bk-grey {\\n  filter: url(\\\"data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg'><filter id='grayscale'><feColorMatrix type='matrix' values='0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0'/></filter></svg>#grayscale\\\");\\n  /* Firefox 10+, Firefox on Android */\\n  filter: gray;\\n  /* IE6-9 */\\n  -webkit-filter: grayscale(100%);\\n  /* Chrome 19+, Safari 6+, Safari 6+ iOS */\\n}\\n.bk-root .bk-logo-small {\\n  width: 20px;\\n  height: 20px;\\n  background-image: url(data:image/png;base64,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);\\n}\\n.bk-root .bk-logo-notebook {\\n  display: inline-block;\\n  vertical-align: middle;\\n  margin-right: 5px;\\n}\\n\"},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});var s=this&&this.__rest||function(t,e){var i={};for(var s in t)Object.prototype.hasOwnProperty.call(t,s)&&e.indexOf(s)<0&&(i[s]=t[s]);if(null!=t&&\"function\"==typeof Object.getOwnPropertySymbols){var n=0;for(s=Object.getOwnPropertySymbols(t);n<s.length;n++)e.indexOf(s[n])<0&&Object.prototype.propertyIsEnumerable.call(t,s[n])&&(i[s[n]]=t[s[n]])}return i};const n=t(184),a=t(181),o=t(186),l=t(81),r=t(245),h=t(142),_=t(150),d=t(143),u=t(291),c=t(14),p=t(99),g=t(292),m=t(70),f=t(72),b=t(294),w=t(8),v=t(9),y=t(17),x=t(188),z=t(191),M=t(295),k=t(192),O=t(88);class j extends x.Layoutable{constructor(){super(...arguments),this.min_border={left:0,top:0,right:0,bottom:0}}_measure(t){t=new x.Sizeable(t).bounded_to(this.sizing.size);const e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left),s=this.right_panel.measure({width:0,height:t.height}),n=Math.max(s.width,this.min_border.right),a=this.top_panel.measure({width:t.width,height:0}),o=Math.max(a.height,this.min_border.top),l=this.bottom_panel.measure({width:t.width,height:0}),r=Math.max(l.height,this.min_border.bottom),h=new x.Sizeable(t).shrink_by({left:i,right:n,top:o,bottom:r}),_=this.center_panel.measure(h);return{width:i+_.width+n,height:o+_.height+r,inner:{left:i,right:n,top:o,bottom:r},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),s=this.right_panel.measure({width:0,height:t.height}),n=this.top_panel.measure({width:t.width,height:0}),a=this.bottom_panel.measure({width:t.width,height:0}),{left:o,top:l,right:r,bottom:h}=e;this.top_panel.set_geometry(new O.BBox({left:o,right:r,bottom:l,height:n.height})),this.bottom_panel.set_geometry(new O.BBox({left:o,right:r,top:h,height:a.height})),this.left_panel.set_geometry(new O.BBox({top:l,bottom:h,right:o,width:i.width})),this.right_panel.set_geometry(new O.BBox({top:l,bottom:h,left:r,width:s.width}))}}i.PlotLayout=j,j.__name__=\"PlotLayout\";class P extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new O.BBox,this._inner_bbox=new O.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(t=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||t||this.request_paint()}request_render(){this.request_paint()}request_paint(t){if(null!=t?this._invalidated_painters.add(t):this._invalidate_all=!0,!this.is_paused){const t=this.throttled_paint();this._ready=this._ready.then(()=>t)}}request_layout(){this._needs_layout=!0,this.request_paint()}reset(){\"standard\"==this.model.reset_policy&&(this.clear_state(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new u.Reset)}remove(){this.ui_event_bus.destroy(),p.remove_views(this.renderer_views),p.remove_views(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.state_changed=new c.Signal0(this,\"state_changed\"),this.lod_started=!1,this.visuals=new m.Visuals(this.model),this._initial_state_info={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.state={history:[],index:-1};const{hidpi:t,output_backend:e}=this.model;this.canvas=new a.Canvas({hidpi:t,output_backend:e}),this.frame=new n.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges),this.throttled_paint=b.throttle(()=>this.repaint(),1e3/60);const{title_location:i,title:s}=this.model;null!=i&&null!=s&&(this._title=s instanceof h.Title?s:new h.Title({text:s}));const{toolbar_location:o,toolbar:l}=this.model;null!=o&&null!=l&&(this._toolbar=new d.ToolbarPanel({toolbar:l}),l.toolbar_location=o),this.renderer_views=new Map,this.tool_views=new Map}async lazy_initialize(){this.canvas_view=await p.build_view(this.canvas,{parent:this}),this.ui_event_bus=new g.UIEvents(this,this.model.toolbar,this.canvas_view.events_el),await this.build_renderer_views(),await this.build_tool_views(),this.update_dataranges(),this.unpause(!0),f.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){this.layout=new j,this.layout.set_sizing(this.box_sizing());const{frame_width:t,frame_height:e}=this.model;this.layout.center_panel=this.frame,this.layout.center_panel.set_sizing(Object.assign(Object.assign({},null!=t?{width_policy:\"fixed\",width:t}:{width_policy:\"fit\"}),null!=e?{height_policy:\"fixed\",height:e}:{height_policy:\"fit\"}));const i=v.copy(this.model.above),s=v.copy(this.model.below),n=v.copy(this.model.left),a=v.copy(this.model.right),o=t=>{switch(t){case\"above\":return i;case\"below\":return s;case\"left\":return n;case\"right\":return a}},{title_location:l,title:r}=this.model;null!=l&&null!=r&&o(l).push(this._title);const{toolbar_location:_,toolbar:u}=this.model;if(null!=_&&null!=u){const t=o(_);let e=!0;if(this.model.toolbar_sticky)for(let i=0;i<t.length;i++){const s=t[i];if(s instanceof h.Title){t[i]=\"above\"==_||\"below\"==_?[s,this._toolbar]:[this._toolbar,s],e=!1;break}}e&&t.push(this._toolbar)}const c=(t,e)=>{const i=this.renderer_views.get(e);return i.layout=new M.SidePanel(t,i)},p=(t,e)=>{const i=\"above\"==t||\"below\"==t,s=[];for(const n of e)if(w.isArray(n)){const e=n.map(e=>{const s=c(t,e);if(e instanceof d.ToolbarPanel){const t=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[t]:\"min\"}))}return s});let a;i?(a=new k.Row(e),a.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(a=new k.Column(e),a.set_sizing({width_policy:\"min\",height_policy:\"max\"})),a.absolute=!0,s.push(a)}else s.push(c(t,n));return s},g=null!=this.model.min_border?this.model.min_border:0;this.layout.min_border={left:null!=this.model.min_border_left?this.model.min_border_left:g,top:null!=this.model.min_border_top?this.model.min_border_top:g,right:null!=this.model.min_border_right?this.model.min_border_right:g,bottom:null!=this.model.min_border_bottom?this.model.min_border_bottom:g};const m=new z.VStack,f=new z.VStack,b=new z.HStack,y=new z.HStack;m.children=v.reversed(p(\"above\",i)),f.children=p(\"below\",s),b.children=v.reversed(p(\"left\",n)),y.children=p(\"right\",a),m.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),f.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),b.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),y.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.top_panel=m,this.layout.bottom_panel=f,this.layout.left_panel=b,this.layout.right_panel=y}get axis_views(){const t=[];for(const[,e]of this.renderer_views)e instanceof _.AxisView&&t.push(e);return t}set_cursor(t=\"default\"){this.canvas_view.el.style.cursor=t}set_toolbar_visibility(t){for(const e of this.visibility_callbacks)e(t)}update_dataranges(){const t=new Map,e=new Map;let i=!1;for(const t of y.values(this.frame.x_ranges).concat(y.values(this.frame.y_ranges)))t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(i=!0);for(const[s,n]of this.renderer_views)if(n instanceof l.GlyphRendererView){const a=n.glyph.bounds();if(null!=a&&t.set(s,a),i){const t=n.glyph.log_bounds();null!=t&&e.set(s,t)}}let s=!1,n=!1;const{width:a,height:r}=this.frame.bbox;let h;!1!==this.model.match_aspect&&0!=a&&0!=r&&(h=1/this.model.aspect_scale*(a/r));for(const i of y.values(this.frame.x_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,0,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}for(const i of y.values(this.frame.y_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,1,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}if(s&&n){f.logger.warn(\"Follow enabled so bounds are unset.\");for(const t of y.values(this.frame.x_ranges))t.bounds=null;for(const t of y.values(this.frame.y_ranges))t.bounds=null}this.range_update_timestamp=Date.now()}map_to_screen(t,e,i=\"default\",s=\"default\"){return this.frame.map_to_screen(t,e,i,s)}push_state(t,e){const{history:i,index:s}=this.state,n=null!=i[s]?i[s].info:{},a=Object.assign(Object.assign(Object.assign({},this._initial_state_info),n),e);this.state.history=this.state.history.slice(0,this.state.index+1),this.state.history.push({type:t,info:a}),this.state.index=this.state.history.length-1,this.state_changed.emit()}clear_state(){this.state={history:[],index:-1},this.state_changed.emit()}can_undo(){return this.state.index>=0}can_redo(){return this.state.index<this.state.history.length-1}undo(){this.can_undo()&&(this.state.index-=1,this._do_state_change(this.state.index),this.state_changed.emit())}redo(){this.can_redo()&&(this.state.index+=1,this._do_state_change(this.state.index),this.state_changed.emit())}_do_state_change(t){const e=null!=this.state.history[t]?this.state.history[t].info:this._initial_state_info;null!=e.range&&this.update_range(e.range),null!=e.selection&&this.update_selection(e.selection)}get_selection(){const t=new Map;for(const e of this.model.renderers)if(e instanceof l.GlyphRenderer){const{selected:i}=e.data_source;t.set(e,i)}return t}update_selection(t){for(const e of this.model.renderers){if(!(e instanceof l.GlyphRenderer))continue;const i=e.data_source;if(null!=t){const s=t.get(e);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_update_ranges_together(t){let e=1;for(const[i,s]of t)e=Math.min(e,this._get_weight_to_constrain_interval(i,s));if(e<1)for(const[i,s]of t)s.start=e*s.start+(1-e)*i.start,s.end=e*s.end+(1-e)*i.end}_update_ranges_individually(t,e,i,s){let n=!1;for(const[s,a]of t){if(!i){const t=this._get_weight_to_constrain_interval(s,a);t<1&&(a.start=t*a.start+(1-t)*s.start,a.end=t*a.end+(1-t)*s.end)}if(null!=s.bounds&&\"auto\"!=s.bounds){const[t,o]=s.bounds,l=Math.abs(a.end-a.start);s.is_reversed?(null!=t&&t>=a.end&&(n=!0,a.end=t,(e||i)&&(a.start=t+l)),null!=o&&o<=a.start&&(n=!0,a.start=o,(e||i)&&(a.end=o-l))):(null!=t&&t>=a.start&&(n=!0,a.start=t,(e||i)&&(a.end=t+l)),null!=o&&o<=a.end&&(n=!0,a.end=o,(e||i)&&(a.start=o-l)))}}if(!(i&&n&&s))for(const[e,i]of t)e.have_updated_interactively=!0,e.start==i.start&&e.end==i.end||e.setv(i)}_get_weight_to_constrain_interval(t,e){const{min_interval:i}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[e,i]=t.bounds;if(null!=e&&null!=i){const t=Math.abs(i-e);s=null!=s?Math.min(s,t):t}}let n=1;if(null!=i||null!=s){const a=Math.abs(t.end-t.start),o=Math.abs(e.end-e.start);i>0&&o<i&&(n=(a-i)/(a-o)),s>0&&o>s&&(n=(s-a)/(o-a)),n=Math.max(0,Math.min(1,n))}return n}update_range(t,e=!1,i=!1,s=!0){this.pause();const{x_ranges:n,y_ranges:a}=this.frame;if(null==t){for(const t in n){n[t].reset()}for(const t in a){a[t].reset()}this.update_dataranges()}else{const o=[];for(const e in n){const i=n[e];o.push([i,t.xrs[e]])}for(const e in a){const i=a[e];o.push([i,t.yrs[e]])}i&&this._update_ranges_together(o),this._update_ranges_individually(o,e,i,s)}this.unpause()}reset_range(){this.update_range(null)}_invalidate_layout(){(()=>{for(const t of this.model.side_panels){if(this.renderer_views.get(t).layout.has_size_changed())return!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map(t=>this.renderer_views.get(t))}async build_renderer_views(){this.computed_renderers=[];const{above:t,below:e,left:i,right:s,center:n,renderers:a}=this.model;this.computed_renderers.push(...t,...e,...i,...s,...n,...a),null!=this._title&&this.computed_renderers.push(this._title),null!=this._toolbar&&this.computed_renderers.push(this._toolbar);for(const t of this.model.toolbar.tools)null!=t.overlay&&this.computed_renderers.push(t.overlay),this.computed_renderers.push(...t.synthetic_renderers);await p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const t=this.model.toolbar.tools;(await p.build_views(this.tool_views,t,{parent:this})).map(t=>this.ui_event_bus.register_tool(t))}connect_signals(){super.connect_signals();const{x_ranges:t,y_ranges:e}=this.frame;for(const e in t){const i=t[e];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}for(const t in e){const i=e[t];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}const{plot_width:i,plot_height:s}=this.model.properties;this.on_change([i,s],()=>this.invalidate_layout());const{above:n,below:a,left:o,right:l,center:r,renderers:h}=this.model.properties;this.on_change([n,a,o,l,r,h],async()=>await this.build_renderer_views()),this.connect(this.model.toolbar.properties.tools.change,async()=>{await this.build_renderer_views(),await this.build_tool_views()}),this.connect(this.model.change,()=>this.request_paint()),this.connect(this.model.reset,()=>this.reset())}set_initial_range(){let t=!0;const{x_ranges:e,y_ranges:i}=this.frame,s={},n={};for(const i in e){const{start:n,end:a}=e[i];if(null==n||null==a||isNaN(n+a)){t=!1;break}s[i]={start:n,end:a}}if(t)for(const e in i){const{start:s,end:a}=i[e];if(null==s||null==a||isNaN(s+a)){t=!1;break}n[e]={start:s,end:a}}t?(this._initial_state_info.range={xrs:s,yrs:n},f.logger.debug(\"initial ranges set\")):f.logger.warn(\"could not set initial ranges\")}has_finished(){if(!super.has_finished())return!1;for(const[,t]of this.renderer_views)if(!t.has_finished())return!1;return!0}after_layout(){if(super.after_layout(),this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame._width.value),inner_height:Math.round(this.frame._height.value),outer_width:Math.round(this.layout._width.value),outer_height:Math.round(this.layout._height.value)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:t,height:e}=this.layout.bbox;this.canvas_view.resize(t,e),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}this._inner_bbox.equals(this.frame.inner_bbox)||(this._inner_bbox=this.layout.inner_bbox,this._needs_paint=!0),this._needs_paint&&(this._needs_paint=!1,this.paint())}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){if(this.is_paused)return;f.logger.trace(\"PlotView.paint() for \"+this.model.id);const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e<this.model.lod_interval?setTimeout(()=>{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(this.model),this.request_paint()},this.model.lod_timeout):t.interactive_stop(this.model)}for(const[,t]of this.renderer_views)if(null==this.range_update_timestamp||t instanceof l.GlyphRendererView&&t.set_data_timestamp>this.range_update_timestamp){this.update_dataranges();break}let e=!1,i=!1;if(this._invalidate_all)e=!0,i=!0;else for(const t of this._invalidated_painters){const{level:s}=t.model;if(\"overlay\"!=s?e=!0:i=!0,e&&i)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const s=[this.frame._left.value,this.frame._top.value,this.frame._width.value,this.frame._height.value],{primary:n,overlays:a}=this.canvas_view;e&&(n.prepare(),this.canvas_view.prepare_webgl(s),this.canvas_view.clear_webgl(),this._map_hook(n.ctx,s),this._paint_empty(n.ctx,s),this._paint_outline(n.ctx,s),this._paint_levels(n.ctx,\"image\",s,!0),this._paint_levels(n.ctx,\"underlay\",s,!0),this._paint_levels(n.ctx,\"glyph\",s,!0),this._paint_levels(n.ctx,\"guide\",s,!1),this._paint_levels(n.ctx,\"annotation\",s,!1),n.finish()),i&&(a.prepare(),this._paint_levels(a.ctx,\"overlay\",s,!1),a.finish()),null==this._initial_state_info.range&&this.set_initial_range()}_paint_levels(t,e,i,s){for(const n of this.computed_renderers){if(n.level!=e)continue;const a=this.renderer_views.get(n);t.save(),(s||a.needs_clip)&&(t.beginPath(),t.rect(...i),t.clip()),a.render(),t.restore(),a.has_webgl&&(this.canvas_view.blit_webgl(t),this.canvas_view.clear_webgl())}}_map_hook(t,e){}_paint_empty(t,e){const[i,s,n,a]=[0,0,this.layout._width.value,this.layout._height.value],[o,l,r,h]=e;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(t),t.fillRect(i,s,n,a),t.clearRect(o,l,r,h)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(o,l,r,h))}_paint_outline(t,e){if(this.visuals.outline_line.doit){t.save(),this.visuals.outline_line.set_value(t);let[i,s,n,a]=e;i+n==this.layout._width.value&&(n-=1),s+a==this.layout._height.value&&(a-=1),t.strokeRect(i,s,n,a),t.restore()}}save(t){this.canvas_view.save(t)}serializable_state(){const t=super.serializable_state(),{children:e}=t,i=s(t,[\"children\"]),n=this.get_renderer_views().map(t=>t.serializable_state()).filter(t=>\"bbox\"in t);return Object.assign(Object.assign({},i),{children:[...e,...n]})}}i.PlotView=P,P.__name__=\"PlotView\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});var n=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var r=e.length-1;r>=0;r--)(_=e[r])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function _(e){return function(t){t.prototype.event_name=e}}class a{constructor(){this.origin=null}to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}_to_json(){return{model:this.origin}}}s.BokehEvent=a,a.__name__=\"BokehEvent\";let o=class extends a{};s.ButtonClick=o,o.__name__=\"ButtonClick\",s.ButtonClick=o=n([_(\"button_click\")],o);let r=class extends a{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=r,r.__name__=\"MenuItemClick\",s.MenuItemClick=r=n([_(\"menu_item_click\")],r);class c extends a{}s.UIEvent=c,c.__name__=\"UIEvent\";let i=class extends c{};s.LODStart=i,i.__name__=\"LODStart\",s.LODStart=i=n([_(\"lodstart\")],i);let l=class extends c{};s.LODEnd=l,l.__name__=\"LODEnd\",s.LODEnd=l=n([_(\"lodend\")],l);let u=class extends c{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=u,u.__name__=\"SelectionGeometry\",s.SelectionGeometry=u=n([_(\"selectiongeometry\")],u);let h=class extends c{};s.Reset=h,h.__name__=\"Reset\",s.Reset=h=n([_(\"reset\")],h);class d extends c{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=d,d.__name__=\"PointEvent\";let m=class extends d{constructor(e,t,s,n,_,a){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=m,m.__name__=\"Pan\",s.Pan=m=n([_(\"pan\")],m);let p=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=p,p.__name__=\"Pinch\",s.Pinch=p=n([_(\"pinch\")],p);let x=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=x,x.__name__=\"Rotate\",s.Rotate=x=n([_(\"rotate\")],x);let j=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=j,j.__name__=\"MouseWheel\",s.MouseWheel=j=n([_(\"wheel\")],j);let y=class extends d{};s.MouseMove=y,y.__name__=\"MouseMove\",s.MouseMove=y=n([_(\"mousemove\")],y);let P=class extends d{};s.MouseEnter=P,P.__name__=\"MouseEnter\",s.MouseEnter=P=n([_(\"mouseenter\")],P);let O=class extends d{};s.MouseLeave=O,O.__name__=\"MouseLeave\",s.MouseLeave=O=n([_(\"mouseleave\")],O);let b=class extends d{};s.Tap=b,b.__name__=\"Tap\",s.Tap=b=n([_(\"tap\")],b);let g=class extends d{};s.DoubleTap=g,g.__name__=\"DoubleTap\",s.DoubleTap=g=n([_(\"doubletap\")],g);let v=class extends d{};s.Press=v,v.__name__=\"Press\",s.Press=v=n([_(\"press\")],v);let E=class extends d{};s.PressUp=E,E.__name__=\"PressUp\",s.PressUp=E=n([_(\"pressup\")],E);let M=class extends d{};s.PanStart=M,M.__name__=\"PanStart\",s.PanStart=M=n([_(\"panstart\")],M);let f=class extends d{};s.PanEnd=f,f.__name__=\"PanEnd\",s.PanEnd=f=n([_(\"panend\")],f);let R=class extends d{};s.PinchStart=R,R.__name__=\"PinchStart\",s.PinchStart=R=n([_(\"pinchstart\")],R);let S=class extends d{};s.PinchEnd=S,S.__name__=\"PinchEnd\",s.PinchEnd=S=n([_(\"pinchend\")],S);let k=class extends d{};s.RotateStart=k,k.__name__=\"RotateStart\",s.RotateStart=k=n([_(\"rotatestart\")],k);let D=class extends d{};s.RotateEnd=D,D.__name__=\"RotateEnd\",s.RotateEnd=D=n([_(\"rotateend\")],D)},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importDefault(t(276)),r=t(14),a=t(72),h=t(68),_=t(293),o=t(9),c=t(8),l=t(28),p=n.__importStar(t(291)),u=t(281);class d{constructor(t,e,s){this.plot_view=t,this.toolbar=e,this.hit_area=s,this.pan_start=new r.Signal(this,\"pan:start\"),this.pan=new r.Signal(this,\"pan\"),this.pan_end=new r.Signal(this,\"pan:end\"),this.pinch_start=new r.Signal(this,\"pinch:start\"),this.pinch=new r.Signal(this,\"pinch\"),this.pinch_end=new r.Signal(this,\"pinch:end\"),this.rotate_start=new r.Signal(this,\"rotate:start\"),this.rotate=new r.Signal(this,\"rotate\"),this.rotate_end=new r.Signal(this,\"rotate:end\"),this.tap=new r.Signal(this,\"tap\"),this.doubletap=new r.Signal(this,\"doubletap\"),this.press=new r.Signal(this,\"press\"),this.pressup=new r.Signal(this,\"pressup\"),this.move_enter=new r.Signal(this,\"move:enter\"),this.move=new r.Signal(this,\"move\"),this.move_exit=new r.Signal(this,\"move:exit\"),this.scroll=new r.Signal(this,\"scroll\"),this.keydown=new r.Signal(this,\"keydown\"),this.keyup=new r.Signal(this,\"keyup\"),this.hammer=new i.default(this.hit_area,{touchAction:\"auto\",inputClass:i.default.TouchMouseInput}),this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",t=>this._mouse_move(t)),this.hit_area.addEventListener(\"mouseenter\",t=>this._mouse_enter(t)),this.hit_area.addEventListener(\"mouseleave\",t=>this._mouse_exit(t)),this.hit_area.addEventListener(\"contextmenu\",t=>this._context_menu(t)),this.hit_area.addEventListener(\"wheel\",t=>this._mouse_wheel(t)),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new u.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",t=>this._doubletap(t)),this.hammer.on(\"tap\",t=>this._tap(t)),this.hammer.on(\"press\",t=>this._press(t)),this.hammer.on(\"pressup\",t=>this._pressup(t)),this.hammer.get(\"pan\").set({direction:i.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",t=>this._pan_start(t)),this.hammer.on(\"pan\",t=>this._pan(t)),this.hammer.on(\"panend\",t=>this._pan_end(t)),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",t=>this._pinch_start(t)),this.hammer.on(\"pinch\",t=>this._pinch(t)),this.hammer.on(\"pinchend\",t=>this._pinch_end(t)),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",t=>this._rotate_start(t)),this.hammer.on(\"rotate\",t=>this._rotate(t)),this.hammer.on(\"rotateend\",t=>this._rotate_end(t))}register_tool(t){const e=t.model.event_type;null!=e&&(c.isString(e)?this._register_tool(t,e):e.forEach((e,s)=>this._register_tool(t,e,s<1)))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},h=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(\"unsupported event_type: \"+e)}s&&(null!=n._doubletap&&n.connect(this.doubletap,h(n._doubletap.bind(n))),null!=n._keydown&&n.connect(this.keydown,h(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,h(n._keyup.bind(n))),l.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(a.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e){const s=this.plot_view.get_renderer_views();for(const n of o.reversed(s)){const{level:s}=n.model;if((\"annotation\"==s||\"overlay\"==s)&&null!=n.interactive_hit&&n.interactive_hit(t,e))return n}return null}_hit_test_frame(t,e){return this.plot_view.frame.bbox.contains(t,e)}_hit_test_canvas(t,e){return this.plot_view.layout.bbox.contains(t,e)}_trigger(t,e,s){const n=this.toolbar.gestures,i=t.name.split(\":\")[0],r=this._hit_test_renderers(e.sx,e.sy),a=this._hit_test_canvas(e.sx,e.sy);switch(i){case\"move\":{const s=n[i].active;null!=s&&this.trigger(t,e,s.id);const h=this.toolbar.inspectors.filter(t=>t.active);let _=\"default\";null!=r?(_=r.cursor(e.sx,e.sy)||_,o.is_empty(h)||(t=this.move_exit)):this._hit_test_frame(e.sx,e.sy)&&(o.is_empty(h)||(_=\"crosshair\")),this.plot_view.set_cursor(_),this.plot_view.set_toolbar_visibility(a),h.map(s=>this.trigger(t,e,s.id));break}case\"tap\":{const{target:a}=s;if(null!=a&&a!=this.hit_area)return;null!=r&&null!=r.on_hit&&r.on_hit(e.sx,e.sy);const h=n[i].active;null!=h&&this.trigger(t,e,h.id);break}case\"scroll\":{const i=n[l.is_mobile?\"pinch\":\"scroll\"].active;null!=i&&(s.preventDefault(),s.stopPropagation(),this.trigger(t,e,i.id));break}case\"pan\":{const r=n[i].active;null!=r&&(s.preventDefault(),this.trigger(t,e,r.id));break}default:{const s=n[i].active;null!=s&&this.trigger(t,e,s.id)}}this._trigger_bokeh_event(e)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t){const e=(()=>{const e=this.plot_view.frame.xscales.default,s=this.plot_view.frame.yscales.default,{sx:n,sy:i}=t,r=e.invert(n),a=s.invert(i);switch(t.type){case\"wheel\":return new p.MouseWheel(n,i,r,a,t.delta);case\"mousemove\":return new p.MouseMove(n,i,r,a);case\"mouseenter\":return new p.MouseEnter(n,i,r,a);case\"mouseleave\":return new p.MouseLeave(n,i,r,a);case\"tap\":return new p.Tap(n,i,r,a);case\"doubletap\":return new p.DoubleTap(n,i,r,a);case\"press\":return new p.Press(n,i,r,a);case\"pressup\":return new p.PressUp(n,i,r,a);case\"pan\":return new p.Pan(n,i,r,a,t.deltaX,t.deltaY);case\"panstart\":return new p.PanStart(n,i,r,a);case\"panend\":return new p.PanEnd(n,i,r,a);case\"pinch\":return new p.Pinch(n,i,r,a,t.scale);case\"pinchstart\":return new p.PinchStart(n,i,r,a);case\"pinchend\":return new p.PinchEnd(n,i,r,a);case\"rotate\":return new p.Rotate(n,i,r,a,t.rotation);case\"rotatestart\":return new p.RotateStart(n,i,r,a);case\"rotateend\":return new p.RotateEnd(n,i,r,a);default:return}})();null!=e&&this.plot_view.model.trigger_event(e)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=h.offset(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:_.getDeltaY(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){const e=this._tap_event(t);this._trigger_bokeh_event(e),this.trigger(this.doubletap,e)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEvents=d,d.__name__=\"UIEvents\"},\n",
+       "      function _(e,t,n){\n",
+       "      /*!\n",
+       "           * jQuery Mousewheel 3.1.13\n",
+       "           *\n",
+       "           * Copyright jQuery Foundation and other contributors\n",
+       "           * Released under the MIT license\n",
+       "           * http://jquery.org/license\n",
+       "           */\n",
+       "      function r(e){const t=getComputedStyle(e).fontSize;return null!=t?parseInt(t,10):null}Object.defineProperty(n,\"__esModule\",{value:!0}),n.getDeltaY=function(e){let t=-e.deltaY;if(e.target instanceof HTMLElement)switch(e.deltaMode){case e.DOM_DELTA_LINE:t*=r((n=e.target).offsetParent||document.body)||r(n)||16;break;case e.DOM_DELTA_PAGE:t*=function(e){return e.clientHeight}(e.target)}var n;return t}},\n",
+       "      function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=(\"undefined\"!=typeof window?window.requestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.webkitRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.mozRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.msRequestAnimationFrame:void 0)||function(n){return n(Date.now()),-1};o.throttle=function(n,e){let o=null,i=0,u=!1;return function(){return new Promise((d,w)=>{const r=function(){i=Date.now(),o=null,u=!1;try{n(),d()}catch(n){w(n)}},a=Date.now(),f=e-(a-i);f<=0&&!u?(null!=o&&clearTimeout(o),u=!0,t(r)):o||u?d():o=setTimeout(()=>t(r),f)})}}},\n",
+       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const l=i(189),a=i(190),r=i(8),o=Math.PI/2,h=\"left\",s=\"center\",n={above:{parallel:0,normal:-o,horizontal:0,vertical:-o},below:{parallel:0,normal:o,horizontal:0,vertical:o},left:{parallel:-o,normal:0,horizontal:0,vertical:-o},right:{parallel:o,normal:0,horizontal:0,vertical:o}},d={above:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"alphabetic\",vertical:\"middle\"},below:{justified:\"bottom\",parallel:\"hanging\",normal:\"middle\",horizontal:\"hanging\",vertical:\"middle\"},left:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"},right:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"}},_={above:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},below:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},left:{justified:s,parallel:s,normal:\"right\",horizontal:\"right\",vertical:s},right:{justified:s,parallel:s,normal:h,horizontal:h,vertical:s}},c={above:\"right\",below:h,left:\"right\",right:h},m={above:h,below:\"right\",left:\"right\",right:h};class g extends a.ContentLayoutable{constructor(i,t){switch(super(),this.side=i,this.obj=t,this.side){case\"above\":this._dim=0,this._normals=[0,-1];break;case\"below\":this._dim=0,this._normals=[0,1];break;case\"left\":this._dim=1,this._normals=[-1,0];break;case\"right\":this._dim=1,this._normals=[1,0]}this.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){return new l.Sizeable(this.get_oriented_size())}get_oriented_size(){const{width:i,height:t}=this.obj.get_size();return!this.obj.rotate||this.is_horizontal?{width:i,height:t}:{width:t,height:i}}has_size_changed(){const{width:i,height:t}=this.get_oriented_size();return this.is_horizontal?this.bbox.height!=t:this.bbox.width!=i}get dimension(){return this._dim}get normals(){return this._normals}get is_horizontal(){return 0==this._dim}get is_vertical(){return 1==this._dim}apply_label_text_heuristics(i,t){const e=this.side;let l,a;r.isString(t)?(l=d[e][t],a=_[e][t]):t<0?(l=\"middle\",a=c[e]):(l=\"middle\",a=m[e]),i.textBaseline=l,i.textAlign=a}get_label_angle_heuristic(i){return n[this.side][i]}}e.SidePanel=g,g.__name__=\"SidePanel\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(14),o=t(68),a=t(32),n=t(290),p=new i.Signal0({},\"gmaps_ready\");class l extends n.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){!function(t){window._bokeh_gmaps_callback=()=>p.emit();const e=document.createElement(\"script\");e.type=\"text/javascript\",e.src=`https://maps.googleapis.com/maps/api/js?v=3.36&key=${t}&callback=_bokeh_gmaps_callback`,document.body.appendChild(e)}(atob(this.model.api_key))}p.connect(()=>this.request_render())}this.unpause()}remove(){o.remove(this.map_el),super.remove()}update_range(t){if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(t.sdx||0,t.sdy||0),super.update_range(t);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t);const e=t.factor<0?-1:1,s=this.map.getZoom(),i=s+e;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<0&&this.map.setZoom(s)}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=o.div({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",()=>this._set_bokeh_ranges()),t.event.addListener(this.map,\"bounds_changed\",()=>this._set_bokeh_ranges()),t.event.addListenerOnce(this.map,\"tilesloaded\",()=>this._render_finished()),this.connect(this.model.properties.map_options.change,()=>this._update_options()),this.connect(this.model.map_options.properties.styles.change,()=>this._update_styles()),this.connect(this.model.map_options.properties.lat.change,()=>this._update_center(\"lat\")),this.connect(this.model.map_options.properties.lng.change,()=>this._update_center(\"lng\")),this.connect(this.model.map_options.properties.zoom.change,()=>this._update_zoom()),this.connect(this.model.map_options.properties.map_type.change,()=>this._update_map_type()),this.connect(this.model.map_options.properties.scale_control.change,()=>this._update_scale_control()),this.connect(this.model.map_options.properties.tilt.change,()=>this._update_tilt())}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,i]=this._get_latlon_bounds(),[o,n]=a.wgs84_mercator.forward([t,s]),[p,l]=a.wgs84_mercator.forward([e,i]);return[o,p,n,l]}_set_bokeh_ranges(){const[t,e,s,i]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:i})}_update_center(t){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,i,o]=e;this.map_el.style.top=s+\"px\",this.map_el.style.left=t+\"px\",this.map_el.style.width=i+\"px\",this.map_el.style.height=o+\"px\"}}_paint_empty(t,e){const s=this.layout._width.value,i=this.layout._height.value,[o,a,n,p]=e;t.clearRect(0,0,s,i),t.beginPath(),t.moveTo(0,0),t.lineTo(0,i),t.lineTo(s,i),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(o,a),t.lineTo(o+n,a),t.lineTo(o+n,a+p),t.lineTo(o,a+p),t.lineTo(o,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=this.model.border_fill_color,t.fill())}}s.GMapPlotView=l,l.__name__=\"GMapPlotView\"},\n",
+       "      function _(a,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});var g=a(187);n.DataRange=g.DataRange;var R=a(186);n.DataRange1d=R.DataRange1d;var r=a(90);n.FactorRange=r.FactorRange;var t=a(91);n.Range=t.Range;var d=a(131);n.Range1d=d.Range1d},\n",
+       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var n=e(81);d.GlyphRenderer=n.GlyphRenderer;var R=e(100);d.GraphRenderer=R.GraphRenderer;var a=e(151);d.GuideRenderer=a.GuideRenderer;var G=e(65);d.Renderer=G.Renderer},\n",
+       "      function _(a,e,c){Object.defineProperty(c,\"__esModule\",{value:!0});var l=a(185);c.CategoricalScale=l.CategoricalScale;var o=a(121);c.ContinuousScale=o.ContinuousScale;var r=a(120);c.LinearScale=r.LinearScale;var S=a(130);c.LogScale=S.LogScale;var n=a(122);c.Scale=n.Scale},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(1).__exportStar(e(102),o);var n=e(79);o.Selection=n.Selection},\n",
+       "      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var o=a(302);r.ServerSentDataSource=o.ServerSentDataSource;var S=a(304);r.AjaxDataSource=S.AjaxDataSource;var u=a(76);r.ColumnDataSource=u.ColumnDataSource;var t=a(77);r.ColumnarDataSource=t.ColumnarDataSource;var c=a(98);r.CDSView=c.CDSView;var D=a(78);r.DataSource=D.DataSource;var v=a(305);r.GeoJSONDataSource=v.GeoJSONDataSource;var n=a(303);r.WebDataSource=n.WebDataSource},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(303);class s extends a.WebDataSource{constructor(e){super(e),this.initialized=!1}destroy(){super.destroy()}setup(){if(!this.initialized){this.initialized=!0,new EventSource(this.data_url).onmessage=e=>{this.load_data(JSON.parse(e.data),this.mode,this.max_size)}}}}i.ServerSentDataSource=s,s.__name__=\"ServerSentDataSource\"},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(1),s=e(76),i=r.__importStar(e(18));class n extends s.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:r}=this;let s;switch(s=null!=r?r.execute(this,{response:e}):e,t){case\"replace\":this.data=s;break;case\"append\":{const e=this.data;for(const t of this.columns()){const r=Array.from(e[t]),i=Array.from(s[t]);s[t]=r.concat(i).slice(-a)}this.data=s;break}}}static init_WebDataSource(){this.define({mode:[i.UpdateMode,\"replace\"],max_size:[i.Number],adapter:[i.Any,null],data_url:[i.String]})}}a.WebDataSource=n,n.__name__=\"WebDataSource\",n.init_WebDataSource()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(303),r=t(72),o=s.__importStar(t(18));class n extends a.WebDataSource{constructor(t){super(t),this.initialized=!1}static init_AjaxDataSource(){this.define({polling_interval:[o.Number],content_type:[o.String,\"application/json\"],http_headers:[o.Any,{}],method:[o.HTTPMethod,\"POST\"],if_modified:[o.Boolean,!1]})}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=0,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",()=>this.do_load(s,t,e)),s.addEventListener(\"error\",()=>this.do_error(s)),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const i in e){const s=e[i];t.setRequestHeader(i,s)}return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){r.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=n,n.__name__=\"AjaxDataSource\",n.init_AjaxDataSource()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1),n=e(77),s=e(72),a=r.__importStar(e(18)),i=e(9);function l(e){return null!=e?e:NaN}class c extends n.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define({geojson:[a.Any]}),this.internal({data:[a.Any,{}]})}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,()=>this._update_data())}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return i.range(0,e).map(e=>[])}_get_new_nan_array(e){return i.range(0,e).map(e=>NaN)}_add_properties(e,t,o,r){const n=e.properties||{};for(const e in n)t.hasOwnProperty(e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=l(n[e])}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=l(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"Polygon\":{e.coordinates.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPoint\":s.logger.warn(\"MultiPoint not supported in Bokeh\");break;case\"MultiLineString\":{const n=e.coordinates.reduce(r);for(let e=0;e<n.length;e++){const[r,s,a]=n[e];t.xs[o][e]=r,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPolygon\":{const n=[];for(const t of e.coordinates)t.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const a=n.reduce(r);for(let e=0;e<a.length;e++){const[r,n,s]=a[e];t.xs[o][e]=r,t.ys[o][e]=n,t.zs[o][e]=l(s)}break}default:throw new Error(\"Invalid GeoJSON geometry type: \"+e.type)}}geojson_to_column_data(){const e=JSON.parse(this.geojson);let t;switch(e.type){case\"GeometryCollection\":if(null==e.geometries)throw new Error(\"No geometries found in GeometryCollection\");if(0===e.geometries.length)throw new Error(\"geojson.geometries must have one or more items\");t=e.geometries;break;case\"FeatureCollection\":if(null==e.features)throw new Error(\"No features found in FeaturesCollection\");if(0==e.features.length)throw new Error(\"geojson.features must have one or more items\");t=e.features;break;default:throw new Error(\"Bokeh only supports type GeometryCollection and FeatureCollection at top level\")}let o=0;for(const e of t){const t=\"Feature\"===e.type?e.geometry:e;\"GeometryCollection\"==t.type?o+=t.geometries.length:o+=1}const r={x:this._get_new_nan_array(o),y:this._get_new_nan_array(o),z:this._get_new_nan_array(o),xs:this._get_new_list_array(o),ys:this._get_new_list_array(o),zs:this._get_new_list_array(o)};let n=0;for(const e of t){const t=\"Feature\"==e.type?e.geometry:e;if(\"GeometryCollection\"==t.type)for(const s of t.geometries)this._add_geometry(s,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1;else this._add_geometry(t,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1}return r}}o.GeoJSONDataSource=c,c.__name__=\"GeoJSONDataSource\",c.init_GeoJSONDataSource()},\n",
+       "      function _(e,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});var c=e(110);i.AdaptiveTicker=c.AdaptiveTicker;var a=e(109);i.BasicTicker=a.BasicTicker;var k=e(153);i.CategoricalTicker=k.CategoricalTicker;var T=e(164);i.CompositeTicker=T.CompositeTicker;var t=e(111);i.ContinuousTicker=t.ContinuousTicker;var o=e(163);i.DatetimeTicker=o.DatetimeTicker;var v=e(165);i.DaysTicker=v.DaysTicker;var n=e(307);i.FixedTicker=n.FixedTicker;var s=e(172);i.LogTicker=s.LogTicker;var l=e(175);i.MercatorTicker=l.MercatorTicker;var u=e(168);i.MonthsTicker=u.MonthsTicker;var d=e(166);i.SingleIntervalTicker=d.SingleIntervalTicker;var g=e(112);i.Ticker=g.Ticker;var C=e(169);i.YearsTicker=C.YearsTicker},\n",
+       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),n=i(111),s=r.__importStar(i(18));class _ extends n.ContinuousTicker{constructor(i){super(i),this.min_interval=0,this.max_interval=0}static init_FixedTicker(){this.define({ticks:[s.Array,[]],minor_ticks:[s.Array,[]]})}get_ticks_no_defaults(i,t,e,r){return{major:this.ticks,minor:this.minor_ticks}}get_interval(i,t,e){return 0}}e.FixedTicker=_,_.__name__=\"FixedTicker\",_.init_FixedTicker()},\n",
+       "      function _(e,r,o){Object.defineProperty(o,\"__esModule\",{value:!0});var T=e(309);o.BBoxTileSource=T.BBoxTileSource;var c=e(310);o.MercatorTileSource=c.MercatorTileSource;var i=e(313);o.QUADKEYTileSource=i.QUADKEYTileSource;var l=e(314);o.TileRenderer=l.TileRenderer;var S=e(311);o.TileSource=S.TileSource;var u=e(318);o.TMSTileSource=u.TMSTileSource;var a=e(315);o.WMTSTileSource=a.WMTSTileSource},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1),i=e(310),l=o.__importStar(e(18));class _ extends i.MercatorTileSource{constructor(e){super(e)}static init_BBoxTileSource(){this.define({use_latlon:[l.Boolean,!1]})}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let i,l,_,n;return this.use_latlon?[l,n,i,_]=this.get_tile_geographic_bounds(e,t,r):[l,n,i,_]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",l.toString()).replace(\"{YMIN}\",n.toString()).replace(\"{XMAX}\",i.toString()).replace(\"{YMAX}\",_.toString())}}r.BBoxTileSource=_,_.__name__=\"BBoxTileSource\",_.init_BBoxTileSource()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const _=t(1),s=t(311),r=_.__importStar(t(18)),o=t(9),n=t(312);class l extends s.TileSource{constructor(t){super(t)}static init_MercatorTileSource(){this.define({snap_to_zoom:[r.Boolean,!1],wrap_around:[r.Boolean,!0]}),this.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})}initialize(){super.initialize(),this._resolutions=o.range(this.min_zoom,this.max_zoom+1).map(t=>this.get_resolution(t))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)<Math.abs(t-r)?e:t}));return this._resolutions.indexOf(o)}snap_to_zoom_level(t,e,i,_){const[s,r,o,n]=t,l=this._resolutions[_];let u=i*l,a=e*l;if(!this.snap_to_zoom){const t=(o-s)/u,e=(n-r)/a;t>e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);return i=0===i?i:i-1,[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<<i)-e]}meters_to_tile(t,e,i){const[_,s]=this.meters_to_pixels(t,e,i);return this.pixels_to_tile(_,s)}get_tile_meter_bounds(t,e,i){const[_,s]=this.pixels_to_meters(t*this.tile_size,e*this.tile_size,i),[r,o]=this.pixels_to_meters((t+1)*this.tile_size,(e+1)*this.tile_size,i);return[_,s,r,o]}get_tile_geographic_bounds(t,e,i){const _=this.get_tile_meter_bounds(t,e,i),[s,r,o,l]=n.meters_extent_to_geographic(_);return[s,r,o,l]}get_tiles_by_extent(t,e,i=1){const[_,s,r,o]=t;let[n,l]=this.meters_to_tile(_,s,e),[u,a]=this.meters_to_tile(r,o,e);n-=i,l-=i,u+=i,a+=i;const h=[];for(let t=a;t>=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<<s-1;switch(t.charAt(_-s)){case\"0\":continue;case\"1\":e|=r;break;case\"2\":i|=r;break;case\"3\":e|=r,i|=r;break;default:throw new TypeError(\"Invalid Quadkey: \"+t)}}return[e,i,_]}tile_xyz_to_quadkey(t,e,i){let _=\"\";for(let s=i;s>0;s--){const i=1<<s-1;let r=0;0!=(t&i)&&(r+=1),0!=(e&i)&&(r+=2),_+=r.toString()}return _}children_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=[];for(let t=0;t<=3;t++){const[e,i,r]=this.quadkey_to_tile_xyz(_+t.toString()),o=this.get_tile_meter_bounds(e,i,r);s.push([e,i,r,o])}return s}get_closest_parent_by_tile_xyz(t,e,i){const _=this.calculate_world_x_by_tile_xyz(t,e,i);[t,e,i]=this.normalize_xyz(t,e,i);let s=this.tile_xyz_to_quadkey(t,e,i);for(;s.length>0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),s=e(17),l=i.__importStar(e(18));class a extends n.Model{constructor(e){super(e)}static init_TileSource(){this.define({url:[l.String,\"\"],tile_size:[l.Number,256],max_zoom:[l.Number,30],min_zoom:[l.Number,0],extra_url_vars:[l.Any,{}],attribution:[l.String,\"\"],x_origin_offset:[l.Number],y_origin_offset:[l.Number],initial_resolution:[l.Number]})}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._clear_cache())}string_lookup_replace(e,t){let r=e;for(const[e,i]of s.entries(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map(e=>parseInt(e));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,s]=t,l=(n-r)/2+r,a=(s-i)/2+i;e.sort((function(e,t){return Math.sqrt((l-e[0])**2+(a-e[1])**2)-Math.sqrt((l-t[0])**2+(a-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=a,a.__name__=\"TileSource\",a.init_TileSource()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(32);function o(e,t){return n.wgs84_mercator.forward([e,t])}function c(e,t){return n.wgs84_mercator.inverse([e,t])}r.geographic_to_meters=o,r.meters_to_geographic=c,r.geographic_extent_to_meters=function(e){const[t,r,n,c]=e,[_,i]=o(t,r),[s,u]=o(n,c);return[_,i,s,u]},r.meters_extent_to_geographic=function(e){const[t,r,n,o]=e,[_,i]=c(t,r),[s,u]=c(n,o);return[_,i,s,u]}},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const _=e(310);class s extends _.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const _=this.string_lookup_replace(this.url,this.extra_url_vars),[s,o,u]=this.tms_to_wmts(e,t,r),c=this.tile_xyz_to_quadkey(s,o,u);return _.replace(\"{Q}\",c)}}r.QUADKEYTileSource=s,s.__name__=\"QUADKEYTileSource\"},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),_=e(315),a=e(82),n=e(131),r=e(68),h=s.__importStar(e(18)),l=e(224),o=e(9),d=e(8),m=e(80),c=e(76),u=e(316),p=s.__importDefault(e(317));class g extends a.DataRendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.tile_source.change,()=>this.request_render())}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&r.removeElement(this.attribution_el);const{attribution:e}=this.model.tile_source;if(d.isString(e)&&e.length>0){const{layout:t,frame:i}=this.plot_view,s=t._width.value-i._right.value,_=t._height.value-i._bottom.value,a=i._width.value;this.attribution_el=r.div({class:u.bk_tile_attribution,style:{position:\"absolute\",right:s+\"px\",bottom:_+\"px\",\"max-width\":a-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=e,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const e=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value),t=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value,e);this.x_range.start=t[0],this.y_range.start=t[1],this.x_range.end=t[2],this.y_range.end=t[3],this.x_range instanceof n.Range1d&&(this.x_range.reset_start=t[0],this.x_range.reset_end=t[2]),this.y_range instanceof n.Range1d&&(this.y_range.reset_start=t[1],this.y_range.reset_end=t[3]),this._update_attribution()}_create_tile(e,t,i,s,_=!1){const[a,n,r]=this.model.tile_source.normalize_xyz(e,t,i),h={img:void 0,tile_coords:[e,t,i],normalized_coords:[a,n,r],quadkey:this.model.tile_source.tile_xyz_to_quadkey(e,t,i),cache_key:this.model.tile_source.tile_xyz_to_key(e,t,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},o=this.model.tile_source.get_image_url(a,n,r);new l.ImageLoader(o,{loaded:e=>{Object.assign(h,{img:e,loaded:!0}),_?(h.finished=!0,this.notify_finished()):this.request_render()},failed(){h.finished=!0}}),this.model.tile_source.tiles.set(h.cache_key,h),this._tiles.push(h)}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame._height.value||this._last_width!==this.map_frame._width.value){const e=this.get_extent(),t=this.model.tile_source.get_level_by_extent(e,this.map_frame._height.value,this.map_frame._width.value),i=this.model.tile_source.snap_to_zoom_level(e,this.map_frame._height.value,this.map_frame._width.value,t);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame._height.value,this._last_width=this.map_frame._width.value}}has_finished(){if(!super.has_finished())return!1;if(0===this._tiles.length)return!1;for(const e of this._tiles)if(!e.finished)return!1;return!0}render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(e){const t=this.model.tile_source.tiles.get(e);if(null!=t&&t.loaded){const[[e],[i]]=this.plot_view.map_to_screen([t.bounds[0]],[t.bounds[3]]),[[s],[_]]=this.plot_view.map_to_screen([t.bounds[2]],[t.bounds[1]]),a=s-e,n=_-i,r=e,h=i,l=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(t.img,r,h,a,n),this.map_canvas.setImageSmoothingEnabled(l),t.finished=!0}}_set_rect(){const e=this.plot_model.properties.outline_line_width.value(),t=this.map_frame._left.value+e/2,i=this.map_frame._top.value+e/2,s=this.map_frame._width.value-e,_=this.map_frame._height.value-e;this.map_canvas.rect(t,i,s,_),this.map_canvas.clip()}_render_tiles(e){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const t of e)this._draw_tile(t);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:e}=this.model,t=this.get_extent(),i=this.map_frame._height.value,s=this.map_frame._width.value,_=this.model.tile_source.get_level_by_extent(t,i,s),a=this.model.tile_source.get_tiles_by_extent(t,_);for(let t=0,i=Math.min(10,a.length);t<i;t++){const[i,s,_]=a[t],n=this.model.tile_source.children_by_tile_xyz(i,s,_);for(const t of n){const[i,s,_,a]=t;e.tiles.has(e.tile_xyz_to_key(i,s,_))||this._create_tile(i,s,_,a,!0)}}}_fetch_tiles(e){for(const t of e){const[e,i,s,_]=t;this._create_tile(e,i,s,_)}}_update(){const{tile_source:e}=this.model,{min_zoom:t}=e,{max_zoom:i}=e;let s=this.get_extent();const _=this.extent[2]-this.extent[0]<s[2]-s[0],a=this.map_frame._height.value,n=this.map_frame._width.value;let r=e.get_level_by_extent(s,a,n),h=!1;r<t?(s=this.extent,r=t,h=!0):r>i&&(s=this.extent,r=i,h=!0),h&&(this.x_range.setv({x_range:{start:s[0],end:s[2]}}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const l=e.get_tiles_by_extent(s,r),d=[],m=[],c=[],u=[];for(const t of l){const[i,s,a]=t,n=e.tile_xyz_to_key(i,s,a),r=e.tiles.get(n);if(null!=r&&r.loaded)m.push(n);else if(this.model.render_parents){const[t,n,r]=e.get_closest_parent_by_tile_xyz(i,s,a),h=e.tile_xyz_to_key(t,n,r),l=e.tiles.get(h);if(null!=l&&l.loaded&&!o.includes(c,h)&&c.push(h),_){const t=e.children_by_tile_xyz(i,s,a);for(const[i,s,_]of t){const t=e.tile_xyz_to_key(i,s,_);e.tiles.has(t)&&u.push(t)}}}null==r&&d.push(t)}this._render_tiles(c),this._render_tiles(u),this._render_tiles(m),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout(()=>this._fetch_tiles(d),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class f extends a.DataRenderer{constructor(e){super(e),this._selection_manager=new m.SelectionManager({source:new c.ColumnDataSource})}static init_TileRenderer(){this.prototype.default_view=g,this.define({alpha:[h.Number,1],smoothing:[h.Boolean,!0],tile_source:[h.Instance,()=>new _.WMTSTileSource],render_parents:[h.Boolean,!0]})}get_selection_manager(){return this._selection_manager}}i.TileRenderer=f,f.__name__=\"TileRenderer\",f.init_TileRenderer()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(310);class s extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,_]=this.tms_to_wmts(e,t,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",_.toString())}}r.WMTSTileSource=s,s.__name__=\"WMTSTileSource\"},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.bk_tile_attribution=\"bk-tile-attribution\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default=\"\\n.bk-root .bk-tile-attribution a {\\n  color: black;\\n}\\n\"},\n",
+       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(310);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=c,c.__name__=\"TMSTileSource\"},\n",
+       "      function _(e,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});var t=e(320);a.CanvasTexture=t.CanvasTexture;var u=e(322);a.ImageURLTexture=u.ImageURLTexture;var v=e(321);a.Texture=v.Texture},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),c=t(321),s=r.__importStar(t(18)),i=t(24);class a extends c.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define({code:[s.String]})}get func(){const t=i.use_strict(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){return r=>{const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),r.createPattern(c,this.repetition)}}}n.CanvasTexture=a,a.__name__=\"CanvasTexture\",a.init_CanvasTexture()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(71),o=r.__importStar(e(18));class _ extends n.Model{constructor(e){super(e)}static init_Texture(){this.define({repetition:[o.TextureRepetition,\"repeat\"]})}onload(e){e()}}i.Texture=_,_.__name__=\"Texture\",_.init_Texture()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),a=e(321),n=r.__importStar(e(18)),s=e(224);class o extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define({url:[n.String]})}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){return e=>this._loader.finished?e.createPattern(this._loader.image,this.repetition):null}onload(e){this._loader.promise.then(()=>e())}}i.ImageURLTexture=o,o.__name__=\"ImageURLTexture\",o.init_ImageURLTexture()},\n",
+       "      function _(o,l,T){Object.defineProperty(T,\"__esModule\",{value:!0});var a=o(285);T.ActionTool=a.ActionTool;var r=o(324);T.CustomAction=r.CustomAction;var e=o(286);T.HelpTool=e.HelpTool;var v=o(325);T.RedoTool=v.RedoTool;var t=o(326);T.ResetTool=t.ResetTool;var n=o(327);T.SaveTool=n.SaveTool;var s=o(328);T.UndoTool=s.UndoTool;var i=o(329);T.ZoomInTool=i.ZoomInTool;var P=o(331);T.ZoomOutTool=P.ZoomOutTool;var c=o(275);T.ButtonTool=c.ButtonTool;var d=o(332);T.EditTool=d.EditTool;var u=o(333);T.BoxEditTool=u.BoxEditTool;var y=o(334);T.FreehandDrawTool=y.FreehandDrawTool;var m=o(335);T.PointDrawTool=m.PointDrawTool;var x=o(336);T.PolyDrawTool=x.PolyDrawTool;var B=o(337);T.PolyTool=B.PolyTool;var S=o(338);T.PolyEditTool=S.PolyEditTool;var b=o(339);T.BoxSelectTool=b.BoxSelectTool;var h=o(342);T.BoxZoomTool=h.BoxZoomTool;var E=o(284);T.GestureTool=E.GestureTool;var Z=o(343);T.LassoSelectTool=Z.LassoSelectTool;var p=o(344);T.LineEditTool=p.LineEditTool;var w=o(346);T.PanTool=w.PanTool;var C=o(347);T.PolySelectTool=C.PolySelectTool;var D=o(348);T.RangeTool=D.RangeTool;var H=o(340);T.SelectTool=H.SelectTool;var R=o(349);T.TapTool=R.TapTool;var A=o(350);T.WheelPanTool=A.WheelPanTool;var I=o(351);T.WheelZoomTool=I.WheelZoomTool;var L=o(352);T.CrosshairTool=L.CrosshairTool;var W=o(353);T.CustomJSHover=W.CustomJSHover;var O=o(354);T.HoverTool=O.HoverTool;var _=o(274);T.InspectTool=_.InspectTool;var f=o(277);T.Tool=f.Tool;var g=o(355);T.ToolProxy=g.ToolProxy;var F=o(273);T.Toolbar=F.Toolbar;var G=o(283);T.ToolbarBase=G.ToolbarBase;var J=o(357);T.ProxyToolbar=J.ProxyToolbar;var U=o(357);T.ToolbarBox=U.ToolbarBox},\n",
+       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(285),e=n.__importStar(t(18)),c=t(278);class _ extends s.ActionToolButtonView{css_classes(){return super.css_classes().concat(c.bk_toolbar_button_custom_action)}}i.CustomActionButtonView=_,_.__name__=\"CustomActionButtonView\";class l extends s.ActionToolView{doit(){null!=this.model.callback&&this.model.callback.execute(this.model)}}i.CustomActionView=l,l.__name__=\"CustomActionView\";class u extends s.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=_}static init_CustomAction(){this.prototype.default_view=l,this.define({action_tooltip:[e.String,\"Perform a Custom Action\"],callback:[e.Any],icon:[e.String]})}get tooltip(){return this.action_tooltip}}i.CustomAction=u,u.__name__=\"CustomAction\",u.init_CustomAction()},\n",
+       "      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(285),s=o(287);class n extends i.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_redo())}doit(){this.plot_view.redo()}}t.RedoToolView=n,n.__name__=\"RedoToolView\";class _ extends i.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=s.bk_tool_icon_redo}static init_RedoTool(){this.prototype.default_view=n,this.override({disabled:!0}),this.register_alias(\"redo\",()=>new _)}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(285),i=e(287);class _ extends s.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=_,_.__name__=\"ResetToolView\";class l extends s.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=i.bk_tool_icon_reset}static init_ResetTool(){this.prototype.default_view=_,this.register_alias(\"reset\",()=>new l)}}o.ResetTool=l,l.__name__=\"ResetTool\",l.init_ResetTool()},\n",
+       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(285),s=e(287);class _ extends i.ActionToolView{doit(){this.plot_view.save(\"bokeh_plot\")}}t.SaveToolView=_,_.__name__=\"SaveToolView\";class a extends i.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=s.bk_tool_icon_save}static init_SaveTool(){this.prototype.default_view=_,this.register_alias(\"save\",()=>new a)}}t.SaveTool=a,a.__name__=\"SaveTool\",a.init_SaveTool()},\n",
+       "      function _(o,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=o(285),i=o(287);class s extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_undo())}doit(){this.plot_view.undo()}}e.UndoToolView=s,s.__name__=\"UndoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=i.bk_tool_icon_undo}static init_UndoTool(){this.prototype.default_view=s,this.override({disabled:!0}),this.register_alias(\"undo\",()=>new _)}}e.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n",
+       "      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),n=o(285),s=o(330),_=e.__importStar(o(18)),m=o(287);class l extends n.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,n=s.scale_range(o,this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:n}),this.plot_view.update_range(n,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomInToolView=l,l.__name__=\"ZoomInToolView\";class h extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom In\",this.icon=m.bk_tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_in\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_in\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_in\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomInTool=h,h.__name__=\"ZoomInTool\",h.init_ZoomInTool()},\n",
+       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=n(10);function r(n,t,e){const[o,r]=[n.start,n.end],c=null!=e?e:(r+o)/2;return[o-(o-c)*t,r-(r-c)*t]}function c(n,[t,e]){const o={};for(const r in n){const c=n[r],[s,l]=c.r_invert(t,e);o[r]={start:s,end:l}}return o}e.scale_highlow=r,e.get_info=c,e.scale_range=function(n,t,e=!0,s=!0,l){t=o.clamp(t,-.9,.9);const a=e?t:0,[u,i]=r(n.bbox.h_range,a,null!=l?l.x:void 0),_=c(n.xscales,[u,i]),f=s?t:0,[d,b]=r(n.bbox.v_range,f,null!=l?l.y:void 0);return{xrs:_,yrs:c(n.yscales,[d,b]),factor:t}}},\n",
+       "      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),s=o(285),n=o(330),_=e.__importStar(o(18)),m=o(287);class l extends s.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,s=n.scale_range(o,-this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:s}),this.plot_view.update_range(s,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomOutToolView=l,l.__name__=\"ZoomOutToolView\";class h extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom Out\",this.icon=m.bk_tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_out\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_out\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_out\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomOutTool=h,h.__name__=\"ZoomOutTool\",h.init_ZoomOutTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),n=e(9),i=e(8),r=e(11),_=e(284);class c extends _.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void r.unreachable():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){const o=this.plot_view.frame;return o.bbox.contains(e,t)?[o.xscales[s.x_range_name].invert(e),o.yscales[s.y_range_name].invert(t)]:null}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;e<s.length;e++){const t=s[e];o.splice(t-e,1)}}this._emit_cds_changes(t)}_pop_glyphs(e,t){const s=e.columns();if(t&&s.length)for(const o of s){let s=e.get_array(o);const n=s.length-t+1;n<1||(i.isArray(s)||(s=Array.from(s),e.data[o]=s),s.splice(0,n))}}_emit_cds_changes(e,t=!0,s=!0,o=!0){s&&e.selection_manager.clear(),t&&e.change.emit(),o&&(e.data=e.data,e.properties.data.change.emit())}_drag_points(e,t,s=\"both\"){if(null==this._basepoint)return;const[o,n]=this._basepoint;for(const i of t){const t=this._map_drag(o,n,i),r=this._map_drag(e.sx,e.sy,i);if(null==r||null==t)continue;const[_,c]=r,[a,l]=t,[d,u]=[_-a,c-l],m=i.glyph,h=i.data_source,[p,f]=[m.x.field,m.y.field];for(const e of h.selected.indices)!p||\"width\"!=s&&\"both\"!=s||(h.data[p][e]+=d),!f||\"height\"!=s&&\"both\"!=s||(h.data[f][e]+=u);h.change.emit()}this._basepoint=[e.sx,e.sy]}_pad_empty_columns(e,t){for(const s of e.columns())n.includes(t,s)||e.get_array(s).push(this.model.empty_value)}_select_event(e,t,s){const o=this.plot_view.frame,{sx:n,sy:i}=e;if(!o.bbox.contains(n,i))return[];const r={type:\"point\",sx:n,sy:i},_=[];for(const e of s){const s=e.get_selection_manager(),o=e.data_source,n=[this.plot_view.renderer_views.get(e)];s.select(n,r,!0,t)&&_.push(e),o.properties.selected.change.emit()}return _}}s.EditToolView=c,c.__name__=\"EditToolView\";class a extends _.GestureTool{constructor(e){super(e)}static init_EditTool(){this.define({custom_icon:[o.String],custom_tooltip:[o.String],empty_value:[o.Any],renderers:[o.Array,[]]})}get tooltip(){return this.custom_tooltip||this.tool_name}get computed_icon(){return this.custom_icon||this.icon}}s.EditTool=a,a.__name__=\"EditTool\",a.init_EditTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(68),o=i.__importStar(e(18)),n=e(332),a=e(287);class d extends n.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===_.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==_.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.frame,d=n.glyph,l=n.data_source,r=a.xscales[n.x_range_name],h=a.yscales[n.y_range_name],[p,u]=r.r_invert(e,t),[c,m]=h.r_invert(s,i),[f,b]=[(p+u)/2,(c+m)/2],[x,y]=[u-p,m-c],[w,g]=[d.x.field,d.y.field],[v,E]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),w&&l.get_array(w).push(f),g&&l.get_array(g).push(b),v&&l.get_array(v).push(x),E&&l.get_array(E).push(y),this._pad_empty_columns(l,[w,g,v,E]);else{const e=l.data[w].length-1;w&&(l.data[w][e]=f),g&&(l.data[g][e]=b),v&&(l.data[v][e]=x),E&&(l.data[E][e]=y)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=d,d.__name__=\"BoxEditToolView\";class l extends n.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=a.bk_tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}static init_BoxEditTool(){this.prototype.default_view=d,this.define({dimensions:[o.Dimensions,\"both\"],num_objects:[o.Int,0]})}}s.BoxEditTool=l,l.__name__=\"BoxEditTool\",l.init_BoxEditTool()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),r=e(68),_=s.__importStar(e(18)),o=e(8),i=e(332),d=e(287);class n extends i.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,i]=r,d=s.data_source,n=s.glyph,[l,h]=[n.xs.field,n.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),l&&d.get_array(l).push([_]),h&&d.get_array(h).push([i]),this._pad_empty_columns(d,[l,h]);else if(\"add\"==t){if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];o.isArray(t)||(t=Array.from(t),d.data[l][e]=t),t.push(_)}if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];o.isArray(t)||(t=Array.from(t),d.data[h][e]=t),t.push(i)}}this._emit_cds_changes(d,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===r.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=n,n.__name__=\"FreehandDrawToolView\";class l extends i.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=d.bk_tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}static init_FreehandDrawTool(){this.prototype.default_view=n,this.define({num_objects:[_.Int,0]})}}a.FreehandDrawTool=l,l.__name__=\"FreehandDrawTool\",l.init_FreehandDrawTool()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(68),a=s.__importStar(e(18)),n=e(332),_=e(287);class r extends n.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],o=this._map_drag(e.sx,e.sy,t);if(null==o)return;const s=t.glyph,i=t.data_source,[a,n]=[s.x.field,s.y.field],[_,r]=o;this._pop_glyphs(i,this.model.num_objects),a&&i.get_array(a).push(_),n&&i.get_array(n).push(r),this._pad_empty_columns(i,[a,n]),i.change.emit(),i.data=i.data,i.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===i.Keys.Backspace?this._delete_selected(t):e.keyCode==i.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}o.PointDrawToolView=r,r.__name__=\"PointDrawToolView\";class d extends n.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=_.bk_tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}static init_PointDrawTool(){this.prototype.default_view=r,this.define({add:[a.Boolean,!0],drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}o.PointDrawTool=d,d.__name__=\"PointDrawTool\",d.init_PointDrawTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(68),a=i.__importStar(e(18)),o=e(8),n=e(337),_=e(287);class d extends n.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==r)return;const[a,n]=this._snap_to_vertex(e,...r),_=i.data_source,d=i.glyph,[l,h]=[d.xs.field,d.ys.field];if(\"new\"==t)this._pop_glyphs(_,this.model.num_objects),l&&_.get_array(l).push([a,a]),h&&_.get_array(h).push([n,n]),this._pad_empty_columns(_,[l,h]);else if(\"edit\"==t){if(l){const e=_.data[l][_.data[l].length-1];e[e.length-1]=a}if(h){const e=_.data[h][_.data[h].length-1];e[e.length-1]=n}}else if(\"add\"==t){if(l){const e=_.data[l].length-1;let t=_.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=a,o.isArray(t)||(t=Array.from(t),_.data[l][e]=t),t.push(s)}if(h){const e=_.data[h].length-1;let t=_.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=n,o.isArray(t)||(t=Array.from(t),_.data[h][e]=t),t.push(s)}}this._emit_cds_changes(_,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;s<this.model.renderers.length;s++){const i=this.model.renderers[s],r=i.data_source,a=i.glyph,[o,n]=[a.xs.field,a.ys.field];if(o)for(const t of r.get_array(o))Array.prototype.push.apply(e,t);if(n)for(const e of r.get_array(n))Array.prototype.push.apply(t,e);this._drawing&&s==this.model.renderers.length-1&&(e.splice(e.length-1,1),t.splice(t.length-1,1))}this._set_vertices(e,t)}_doubletap(e){this.model.active&&(this._drawing?(this._drawing=!1,this._draw(e,\"edit\",!0)):(this._drawing=!0,this._draw(e,\"new\",!0)))}_move(e){this._drawing&&this._draw(e,\"edit\")}_remove(){const e=this.model.renderers[0],t=e.data_source,s=e.glyph,[i,r]=[s.xs.field,s.ys.field];if(i){const e=t.data[i].length-1,s=t.get_array(i)[e];s.splice(s.length-1,1)}if(r){const e=t.data[r].length-1,s=t.get_array(r)[e];s.splice(s.length-1,1)}this._emit_cds_changes(t)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Backspace?this._delete_selected(t):e.keyCode==r.Keys.Esc&&(this._drawing&&(this._remove(),this._drawing=!1),t.data_source.selection_manager.clear())}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){if(null==this._basepoint||!this.model.drag)return;const[t,s]=this._basepoint;for(const i of this.model.renderers){const r=this._map_drag(t,s,i),a=this._map_drag(e.sx,e.sy,i);if(null==a||null==r)continue;const o=i.data_source,n=i.glyph,[_,d]=[n.xs.field,n.ys.field];if(!_&&!d)continue;const[l,h]=a,[c,g]=r,[p,f]=[l-c,h-g];for(const e of o.selected.indices){let t,s,i;_&&(s=o.data[_][e]),d?(i=o.data[d][e],t=i.length):t=s.length;for(let e=0;e<t;e++)s&&(s[e]+=p),i&&(i[e]+=f)}o.change.emit()}this._basepoint=[e.sx,e.sy]}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source);this._basepoint=null}}activate(){if(this.model.vertex_renderer&&this.model.active){if(this._show_vertices(),!this._initialized)for(const e of this.model.renderers){const t=e.data_source;t.connect(t.properties.data.change,()=>this._show_vertices())}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=d,d.__name__=\"PolyDrawToolView\";class l extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.bk_tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}static init_PolyDrawTool(){this.prototype.default_view=d,this.define({drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),i=e(8),s=e(332);class _ extends s.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,_]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),_&&(i.isArray(t)?o.data[_]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,\"replace\",[this.model.vertex_renderer]),i=this.model.vertex_renderer.data_source,s=this.model.vertex_renderer.glyph,[_,l]=[s.x.field,s.y.field];if(o.length){const e=i.selected.indices[0];_&&(t=i.data[_][e]),l&&(r=i.data[l][e]),i.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class l extends s.EditTool{constructor(e){super(e)}static init_PolyTool(){this.prototype.default_view=_,this.define({vertex_renderer:[o.Instance]})}}r.PolyTool=l,l.__name__=\"PolyTool\",l.init_PolyTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(68),i=e(8),_=e(337),d=e(287);class n extends _.PolyToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this._select_event(e,\"replace\",this.model.renderers);if(!t.length)return this._set_vertices([],[]),this._selected_renderer=null,void(this._drawing=!1);const s=t[0],r=s.glyph,_=s.data_source,d=_.selected.indices[0],[n,l]=[r.xs.field,r.ys.field];let a,c;n?(a=_.data[n][d],i.isArray(a)||(_.data[n][d]=a=Array.from(a))):a=r.xs.value,l?(c=_.data[l][d],i.isArray(c)||(_.data[l][d]=c=Array.from(c))):c=r.ys.value,this._selected_renderer=s,this._set_vertices(a,c)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===r.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==r.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=n,n.__name__=\"PolyEditToolView\";class l extends _.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=d.bk_tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=n}}s.PolyEditTool=l,l.__name__=\"PolyEditTool\",l.init_PolyEditTool()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(340),l=e(107),_=s.__importStar(e(18)),n=e(287);class c extends i.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.push_state(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const _={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(_,i,l)}}o.BoxSelectToolView=c,c.__name__=\"BoxSelectToolView\";const r=()=>new l.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=n.bk_tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=c,this.define({dimensions:[_.Dimensions,\"both\"],select_every_mousemove:[_.Boolean,!1],overlay:[_.Instance,r],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_select\",()=>new h),this.register_alias(\"xbox_select\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_select\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}o.BoxSelectTool=h,h.__name__=\"BoxSelectTool\",h.init_BoxSelectTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),r=e(81),c=e(100),i=e(341),l=n.__importStar(e(18)),a=e(68),d=e(291),_=e(14),h=e(11);class u extends o.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect(()=>this._clear())}get computed_renderers(){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;return i.compute_renderers(e,t,s)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof r.GlyphRenderer)n=s.data_source;else{if(!(s instanceof c.GraphRenderer))continue;n=s.node_renderer.data_source}const o=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...o,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void h.unreachable():this.model.mode}_keyup(e){e.keyCode==a.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();this.plot_view.request_render()}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,o]of n){const n=o[0].get_selection_manager(),r=[];for(const e of o){const t=this.plot_view.renderer_views.get(e);null!=t&&r.push(t)}n.select(r,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{frame:s}=this.plot_view,n=s.xscales.default,o=s.yscales.default;let r;switch(e.type){case\"point\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:s,sy0:c,sy1:i}=e,[l,a]=n.r_invert(t,s),[d,_]=o.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:l,y0:d,x1:a,y1:_});break}case\"poly\":{const{sx:t,sy:s}=e,c=n.v_invert(t),i=o.v_invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new d.SelectionGeometry(r,t))}}s.SelectToolView=u,u.__name__=\"SelectToolView\";class p extends o.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new _.Signal0(this,\"clear\")}static init_SelectTool(){this.define({renderers:[l.Any,\"auto\"],names:[l.Array,[]],mode:[l.Any,\"replace\"]})}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=p,p.__name__=\"SelectTool\",p.init_SelectTool()},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(9);t.compute_renderers=function(e,n,t){if(null==e)return[];let u=\"auto\"==e?n:e;return t.length>0&&(u=u.filter(e=>r.includes(t,e.name))),u}},\n",
+       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),i=t(284),n=t(107),_=s.__importStar(t(18)),a=t(287);class l extends i.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m<n&&(m=n)),l=Math.abs(p-m),t[1]<=o[1]?(b=t[1],d=t[1]+l/s,d>_&&(d=_)):(d=t[1],b=t[1]-l/s,b<a&&(b=a)),r=Math.abs(d-b),t[0]<=o[0]?p=t[0]+s*r:m=t[0]-s*r,[[m,p],[b,d]]}_compute_limits(t){const o=this.plot_view.frame,e=this.model.dimensions;let s,i,n=this._base_point;if(\"center\"==this.model.origin){const[o,e]=n,[s,i]=t;n=[o-(s-o),e-(i-e)]}return this.model.match_aspect&&\"both\"==e?[s,i]=this._match_aspect(n,t,o):[s,i]=this.model._get_dim_limits(n,t,o,e),[s,i]}_pan_start(t){this._base_point=[t.sx,t.sy]}_pan(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this.model.overlay.update({left:e[0],right:e[1],top:s[0],bottom:s[1]})}_pan_end(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this._update(e,s),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null}_update([t,o],[e,s]){if(Math.abs(o-t)<=5||Math.abs(s-e)<=5)return;const{xscales:i,yscales:n}=this.plot_view.frame,_={};for(const e in i){const s=i[e],[n,a]=s.r_invert(t,o);_[e]={start:n,end:a}}const a={};for(const t in n){const o=n[t],[i,_]=o.r_invert(e,s);a[t]={start:i,end:_}}const l={xrs:_,yrs:a};this.plot_view.push_state(\"box_zoom\",{range:l}),this.plot_view.update_range(l)}}e.BoxZoomToolView=l,l.__name__=\"BoxZoomToolView\";const r=()=>new n.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=a.bk_tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=l,this.define({dimensions:[_.Dimensions,\"both\"],overlay:[_.Instance,r],match_aspect:[_.Boolean,!1],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_zoom\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xbox_zoom\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_zoom\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}e.BoxZoomTool=h,h.__name__=\"BoxZoomTool\",h.init_BoxZoomTool()},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(340),i=e(139),a=e(68),_=o.__importStar(e(18)),c=e(287);class n extends l.SelectToolView{initialize(){super.initialize(),this.data=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_overlay()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_overlay()}_pan_start(e){const{sx:s,sy:t}=e;this.data={sx:[s],sy:[t]}}_pan(e){const{sx:s,sy:t}=e,[o,l]=this.plot_view.frame.bbox.clip(s,t);this.data.sx.push(o),this.data.sy.push(l),this.model.overlay.update({xs:this.data.sx,ys:this.data.sy}),this.model.select_every_mousemove&&this._do_select(this.data.sx,this.data.sy,!1,this._select_mode(e))}_pan_end(e){this._clear_overlay(),this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"lasso_select\",{selection:this.plot_view.get_selection()})}_clear_overlay(){this.model.overlay.update({xs:[],ys:[]})}_do_select(e,s,t,o){const l={type:\"poly\",sx:e,sy:s};this._select(l,t,o)}}t.LassoSelectToolView=n,n.__name__=\"LassoSelectToolView\";const h=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class r extends l.SelectTool{constructor(e){super(e),this.tool_name=\"Lasso Select\",this.icon=c.bk_tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=n,this.define({select_every_mousemove:[_.Boolean,!0],overlay:[_.Instance,h]}),this.register_alias(\"lasso_select\",()=>new r)}}t.LassoSelectTool=r,r.__name__=\"LassoSelectTool\",r.init_LassoSelectTool()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(345),r=s.__importStar(e(18)),_=e(287);class d extends n.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const i of t){1==this._select_event(e,\"replace\",[i]).length&&(this._selected_renderer=i)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[i,s]=[t.x.field,t.y.field],n=e.get_array(i),r=e.get_array(s);this._set_intersection(n,r)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const i=this._select_mode(e);if(0==this._select_event(e,i,[t]).length)return}const i=this._select_mode(e);this._select_event(e,i,[t]),this._select_event(e,i,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[i,s]=[e.x.field,e.y.field];if(i&&s){const e=t.data[i],n=t.data[s];this._selected_renderer.data_source.data[i]=e,this._selected_renderer.data_source.data[s]=n}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}i.LineEditToolView=d,d.__name__=\"LineEditToolView\";class o extends n.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=_.bk_tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_LineEditTool(){this.prototype.default_view=d,this.define({dimensions:[r.Dimensions,\"both\"]})}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.LineEditTool=o,o.__name__=\"LineEditTool\",o.init_LineEditTool()},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1).__importStar(e(18)),o=e(8),s=e(332);class _ extends s.EditToolView{_set_intersection(e,i){const t=this.model.intersection_renderer.glyph,n=this.model.intersection_renderer.data_source,[s,_]=[t.x.field,t.y.field];s&&(o.isArray(e)?n.data[s]=e:t.x={value:e}),_&&(o.isArray(i)?n.data[_]=i:t.y={value:i}),this._emit_cds_changes(n,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}t.LineToolView=_,_.__name__=\"LineToolView\";class r extends s.EditTool{constructor(e){super(e)}static init_LineTool(){this.prototype.default_view=_,this.define({intersection_renderer:[n.Instance]})}}t.LineTool=r,r.__name__=\"LineTool\",r.init_LineTool()},\n",
+       "      function _(t,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),e=t(284),o=i.__importStar(t(18)),a=t(287);class _ extends e.GestureToolView{_pan_start(t){this.last_dx=0,this.last_dy=0;const{sx:s,sy:n}=t,i=this.plot_view.frame.bbox;if(!i.contains(s,n)){const t=i.h_range,e=i.v_range;(s<t.start||s>t.end)&&(this.v_axis_only=!0),(n<e.start||n>e.end)&&(this.h_axis_only=!0)}null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan(t){this._update(t.deltaX,t.deltaY),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.push_state(\"pan\",{range:this.pan_info})}_update(t,s){const n=this.plot_view.frame,i=t-this.last_dx,e=s-this.last_dy,o=n.bbox.h_range,a=o.start-i,_=o.end-i,h=n.bbox.v_range,l=h.start-e,r=h.end-e,d=this.model.dimensions;let c,p,m,u,x,y;\"width\"!=d&&\"both\"!=d||this.v_axis_only?(c=o.start,p=o.end,m=0):(c=a,p=_,m=-i),\"height\"!=d&&\"both\"!=d||this.h_axis_only?(u=h.start,x=h.end,y=0):(u=l,x=r,y=-e),this.last_dx=t,this.last_dy=s;const{xscales:v,yscales:b}=n,g={};for(const t in v){const s=v[t],[n,i]=s.r_invert(c,p);g[t]={start:n,end:i}}const w={};for(const t in b){const s=b[t],[n,i]=s.r_invert(u,x);w[t]={start:n,end:i}}this.pan_info={xrs:g,yrs:w,sdx:m,sdy:y},this.plot_view.update_range(this.pan_info,!0)}}n.PanToolView=_,_.__name__=\"PanToolView\";class h extends e.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=_,this.define({dimensions:[o.Dimensions,\"both\"]}),this.register_alias(\"pan\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xpan\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ypan\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(\"Pan\",this.dimensions)}get icon(){switch(this.dimensions){case\"both\":return a.bk_tool_icon_pan;case\"width\":return a.bk_tool_icon_xpan;case\"height\":return a.bk_tool_icon_ypan}}}n.PanTool=h,h.__name__=\"PanTool\",h.init_PanTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const l=e(1),o=e(340),i=e(139),a=e(68),_=l.__importStar(e(18)),c=e(9),n=e(287);class h extends o.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:c.copy(this.data.sx),ys:c.copy(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=h,h.__name__=\"PolySelectToolView\";const y=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.bk_tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define({overlay:[_.Instance,y]}),this.register_alias(\"poly_select\",()=>new d)}}s.PolySelectTool=d,d.__name__=\"PolySelectTool\",d.init_PolySelectTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(107),l=e(72),a=i.__importStar(e(18)),r=e(284),o=e(287);function _(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function h(e,t,s,i){if(null==t)return!1;const n=s.compute(t);return Math.abs(e-n)<i}function d(e,t,s,i,n){let l=!0;if(null!=n.left&&null!=n.right){const t=s.invert(e);(t<n.left||t>n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=i.invert(t);(e<n.bottom||e>n.top)&&(l=!1)}return l}function u(e,t,s){let i=0;return e>=s.start&&e<=s.end&&(i+=1),t>=s.start&&t<=s.end&&(i+=1),i}function c(e,t,s,i){const n=t.compute(e),l=t.invert(n+s);return l>=i.start&&l<=i.end?l:e}function g(e,t,s){return e>t.start?(t.end=e,s):(t.end=t.start,t.start=e,_(s))}function y(e,t,s){return e<t.end?(t.start=e,s):(t.start=t.end,t.end=e,_(s))}function f(e,t,s,i){const[n,l]=t.r_compute(e.start,e.end),[a,r]=t.r_invert(n+s,l+s),o=u(e.start,e.end,i);u(a,r,i)>=o&&(e.start=a,e.end=r)}s.flip_side=_,s.is_near=h,s.is_inside=d,s.sides_inside=u,s.compute_value=c,s.update_range_end_side=g,s.update_range_start_side=y,s.update_range=f;class p extends r.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,()=>this.model.update_overlay_from_ranges()),null!=this.model.y_range&&this.connect(this.model.y_range.change,()=>this.model.update_overlay_from_ranges())}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,s=this.model.y_range,i=this.plot_view.frame,l=i.xscales.default,a=i.yscales.default,r=this.model.overlay,{left:o,right:_,top:u,bottom:c}=r,g=this.model.overlay.properties.line_width.value()+n.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(h(e.sx,o,l,g)?this.side=1:h(e.sx,_,l,g)?this.side=2:d(e.sx,e.sy,l,a,r)&&(this.side=3)),null!=s&&this.model.y_interaction&&(0==this.side&&h(e.sy,c,a,g)&&(this.side=4),0==this.side&&h(e.sy,u,a,g)?this.side=5:d(e.sx,e.sy,l,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,s=e.deltaX-this.last_dx,i=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.xscales.default,r=t.yscales.default;if(null!=n)if(3==this.side||7==this.side)f(n,a,s,t.x_range);else if(1==this.side){const e=c(n.start,a,s,t.x_range);this.side=y(e,n,this.side)}else if(2==this.side){const e=c(n.end,a,s,t.x_range);this.side=g(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)f(l,r,i,t.y_range);else if(4==this.side){const e=c(l.start,r,i,t.y_range);this.side=y(e,l,this.side)}else if(5==this.side){const e=c(l.end,r,i,t.y_range);this.side=g(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0}}s.RangeToolView=p,p.__name__=\"RangeToolView\";const m=()=>new n.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class v extends r.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=o.bk_tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=p,this.define({x_range:[a.Instance,null],x_interaction:[a.Boolean,!0],y_range:[a.Instance,null],y_interaction:[a.Boolean,!0],overlay:[a.Instance,m]})}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,l.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}s.RangeTool=v,v.__name__=\"RangeTool\",v.init_RangeTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),o=e(340),a=i.__importStar(e(18)),n=e(287);class _ extends o.SelectToolView{_tap(e){const{sx:t,sy:s}=e,i={type:\"point\",sx:t,sy:s};this._select(i,!0,this._select_mode(e))}_select(e,t,s){const i=this.model.callback;if(\"select\"==this.model.behavior){const o=this._computed_renderers_by_data_source();for(const[,a]of o){const o=a[0].get_selection_manager(),n=a.map(e=>this.plot_view.renderer_views.get(e));if(o.select(n,e,t,s)&&null!=i){const{frame:t}=this.plot_view,s=t.xscales[a[0].x_range_name],n=t.yscales[a[0].y_range_name],_=s.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:o.source};i.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.push_state(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=t.get_selection_manager();if(s.inspect(this.plot_view.renderer_views.get(t),e)&&null!=i){const{frame:o}=this.plot_view,a=o.xscales[t.x_range_name],n=o.yscales[t.y_range_name],_=a.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:s.source};i.execute(this.model,l)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class c extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=n.bk_tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=_,this.define({behavior:[a.TapBehavior,\"select\"],callback:[a.Any]}),this.register_alias(\"click\",()=>new c({behavior:\"inspect\"})),this.register_alias(\"tap\",()=>new c)}}s.TapTool=c,c.__name__=\"TapTool\",c.init_TapTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),i=n.__importStar(e(18)),a=e(287);class l extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){const{frame:t}=this.plot_view,s=t.bbox.h_range,n=t.bbox.v_range,[o,i]=[s.start,s.end],[a,l]=[n.start,n.end];let r,h,_,d;switch(this.model.dimension){case\"height\":{const t=Math.abs(l-a);r=o,h=i,_=a-t*e,d=l-t*e;break}case\"width\":{const t=Math.abs(i-o);r=o-t*e,h=i-t*e,_=a,d=l;break}default:throw new Error(\"this shouldn't have happened\")}const{xscales:c,yscales:p}=t,m={};for(const e in c){const t=c[e],[s,n]=t.r_invert(r,h);m[e]={start:s,end:n}}const u={};for(const e in p){const t=p[e],[s,n]=t.r_invert(_,d);u[e]={start:s,end:n}}const w={xrs:m,yrs:u,factor:e};this.plot_view.push_state(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,!1,!0),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}s.WheelPanToolView=l,l.__name__=\"WheelPanToolView\";class r extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=a.bk_tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=l,this.define({dimension:[i.Dimension,\"width\"]}),this.internal({speed:[i.Number,.001]}),this.register_alias(\"xwheel_pan\",()=>new r({dimension:\"width\"})),this.register_alias(\"ywheel_pan\",()=>new r({dimension:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimension)}}s.WheelPanTool=r,r.__name__=\"WheelPanTool\",r.init_WheelPanTool()},\n",
+       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),i=e(284),l=e(330),n=s.__importStar(e(18)),_=e(28),h=e(287);class a extends i.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:l}=e;let n;n=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:n,ctrlKey:i,shiftKey:l})}_scroll(e){const{frame:o}=this.plot_view,t=o.bbox.h_range,s=o.bbox.v_range,{sx:i,sy:n}=e,_=this.model.dimensions,h=(\"width\"==_||\"both\"==_)&&t.start<i&&i<t.end,a=(\"height\"==_||\"both\"==_)&&s.start<n&&n<s.end;if(!(h&&a||this.model.zoom_on_axis))return;const m=this.model.speed*e.delta,r=l.scale_range(o,m,h,a,{x:i,y:n});this.plot_view.push_state(\"wheel_zoom\",{range:r}),this.plot_view.update_range(r,!1,!0,this.model.maintain_focus),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}t.WheelZoomToolView=a,a.__name__=\"WheelZoomToolView\";class m extends i.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=h.bk_tool_icon_wheel_zoom,this.event_type=_.is_mobile?\"pinch\":\"scroll\",this.default_order=10}static init_WheelZoomTool(){this.prototype.default_view=a,this.define({dimensions:[n.Dimensions,\"both\"],maintain_focus:[n.Boolean,!0],zoom_on_axis:[n.Boolean,!0],speed:[n.Number,1/600]}),this.register_alias(\"wheel_zoom\",()=>new m({dimensions:\"both\"})),this.register_alias(\"xwheel_zoom\",()=>new m({dimensions:\"width\"})),this.register_alias(\"ywheel_zoom\",()=>new m({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}t.WheelZoomTool=m,m.__name__=\"WheelZoomTool\",m.init_WheelZoomTool()},\n",
+       "      function _(i,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=i(1),o=i(274),n=i(141),l=t.__importStar(i(18)),h=i(17),a=i(287);class r extends o.InspectToolView{_move(i){if(!this.model.active)return;const{sx:s,sy:e}=i;this.plot_view.frame.bbox.contains(s,e)?this._update_spans(s,e):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,s){const e=this.model.dimensions;\"width\"!=e&&\"both\"!=e||(this.model.spans.width.location=s),\"height\"!=e&&\"both\"!=e||(this.model.spans.height.location=i)}}e.CrosshairToolView=r,r.__name__=\"CrosshairToolView\";class _ extends o.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=a.bk_tool_icon_crosshair}static init_CrosshairTool(){this.prototype.default_view=r,this.define({dimensions:[l.Dimensions,\"both\"],line_color:[l.Color,\"black\"],line_width:[l.Number,1],line_alpha:[l.Number,1]}),this.internal({spans:[l.Any]}),this.register_alias(\"crosshair\",()=>new _)}get tooltip(){return this._get_dim_tooltip(\"Crosshair\",this.dimensions)}get synthetic_renderers(){return h.values(this.spans)}initialize(){super.initialize(),this.spans={width:new n.Span({for_hover:!0,dimension:\"width\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha}),height:new n.Span({for_hover:!0,dimension:\"height\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha})}}}e.CrosshairTool=_,_.__name__=\"CrosshairTool\",_.init_CrosshairTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),o=e(71),i=r.__importStar(e(18)),a=e(17),n=e(24);class u extends o.Model{constructor(e){super(e)}static init_CustomJSHover(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get values(){return a.values(this.args)}_make_code(e,t,s,r){return new Function(...a.keys(this.args),e,t,s,n.use_strict(r))}format(e,t,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,t,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(274),i=e(144),r=e(81),l=e(100),a=e(341),c=n.__importStar(e(93)),d=e(160),_=e(68),p=n.__importStar(e(18)),h=e(20),m=e(17),u=e(8),y=e(99),x=e(287),f=e(145);function v(e,t,s,n,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[e+1]};let a,d;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-s),d=Math.abs(l.x-s)):(a=Math.abs(r.y-n),d=Math.abs(l.y-n));else{const e={x:s,y:n};a=c.dist_2_pts(r,e),d=c.dist_2_pts(l,e)}return a<d?[[r.x,r.y],e]:[[l.x,l.y],e+1]}function w(e,t,s){return[[e[s],t[s]],s]}s._nearest_line_hit=v,s._line_hit=w;class g extends o.InspectToolView{initialize(){super.initialize(),this._ttmodels=null,this._ttviews=new Map}remove(){y.remove_views(this._ttviews),super.remove()}connect_signals(){super.connect_signals();for(const e of this.computed_renderers)e instanceof r.GlyphRenderer?this.connect(e.data_source.inspect,this._update):e instanceof l.GraphRenderer&&(this.connect(e.node_renderer.data_source.inspect,this._update),this.connect(e.edge_renderer.data_source.inspect,this._update));this.connect(this.model.properties.renderers.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.names.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.tooltips.change,()=>this._ttmodels=null)}_compute_ttmodels(){const e=new Map,t=this.model.tooltips;if(null!=t)for(const s of this.computed_renderers){const n=new i.Tooltip({custom:u.isString(t)||u.isFunction(t),attachment:this.model.attachment,show_arrow:this.model.show_arrow});s instanceof r.GlyphRenderer?e.set(s,n):s instanceof l.GraphRenderer&&(e.set(s.node_renderer,n),e.set(s.edge_renderer,n))}return y.build_views(this._ttviews,[...e.values()],{parent:this.plot_view}),e}get computed_renderers(){if(null==this._computed_renderers){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;this._computed_renderers=a.compute_renderers(e,t,s)}return this._computed_renderers}get ttmodels(){return null==this._ttmodels&&(this._ttmodels=this._compute_ttmodels()),this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)?this._inspect(t,s):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let s;if(\"mouse\"==this.model.mode)s={type:\"point\",sx:e,sy:t};else{s={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){e.get_selection_manager().inspect(this.plot_view.renderer_views.get(e),s)}null!=this.model.callback&&this._emit_callback(s)}_update([e,{geometry:t}]){if(!this.model.active)return;if(!(e instanceof r.GlyphRendererView))return;const{model:s}=e;if(\"ignore\"==this.model.muted_policy&&s instanceof r.GlyphRenderer&&s.muted)return;const n=this.ttmodels.get(s);if(null==n)return;n.clear();const o=s.get_selection_manager();let i=o.inspectors.get(s);if(s instanceof r.GlyphRenderer&&(i=s.view.convert_selection_to_subset(i)),i.is_empty())return;const l=o.source,{frame:a}=this.plot_view,{sx:c,sy:d}=t,_=a.xscales[s.x_range_name],p=a.yscales[s.y_range_name],h=_.invert(c),u=p.invert(d),y=e.glyph;for(const s of i.line_indices){let o,r,a=y._x[s+1],m=y._y[s+1],x=s;switch(this.model.line_policy){case\"interp\":[a,m]=y.get_interpolation_hit(s,t),o=_.compute(a),r=p.compute(m);break;case\"prev\":[[o,r],x]=w(y.sx,y.sy,s);break;case\"next\":[[o,r],x]=w(y.sx,y.sy,s+1);break;case\"nearest\":[[o,r],x]=v(s,t,c,d,y.sx,y.sy),a=y._x[x],m=y._y[x];break;default:[o,r]=[c,d]}const f={index:x,x:h,y:u,sx:c,sy:d,data_x:a,data_y:m,rx:o,ry:r,indices:i.line_indices,name:e.model.name};n.add(o,r,this._render_tooltips(l,x,f))}for(const e of i.image_indices){const t={index:e.index,x:h,y:u,sx:c,sy:d},s=this._render_tooltips(l,e,t);n.add(c,d,s)}for(const o of i.indices)if(m.isEmpty(i.multiline_indices)){const t=null!=y._x?y._x[o]:void 0,a=null!=y._y?y._y[o]:void 0;let _,p,m;if(\"snap_to_data\"==this.model.point_policy){let e=y.get_anchor_point(this.model.anchor,o,[c,d]);null==e&&(e=y.get_anchor_point(\"center\",o,[c,d])),_=e.x,p=e.y}else[_,p]=[c,d];m=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const x={index:m,x:h,y:u,sx:c,sy:d,data_x:t,data_y:a,indices:i.indices,name:e.model.name};n.add(_,p,this._render_tooltips(l,m,x))}else for(const a of i.multiline_indices[o.toString()]){let m,x,f,g=y._xs[o][a],b=y._ys[o][a],k=a;switch(this.model.line_policy){case\"interp\":[g,b]=y.get_interpolation_hit(o,a,t),m=_.compute(g),x=p.compute(b);break;case\"prev\":[[m,x],k]=w(y.sxs[o],y.sys[o],a);break;case\"next\":[[m,x],k]=w(y.sxs[o],y.sys[o],a+1);break;case\"nearest\":[[m,x],k]=v(a,t,c,d,y.sxs[o],y.sys[o]),g=y._xs[o][k],b=y._ys[o][k];break;default:throw new Error(\"should't have happened\")}f=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const T={index:f,x:h,y:u,sx:c,sy:d,data_x:g,data_y:b,segment_index:k,indices:i.multiline_indices,name:e.model.name};n.add(m,x,this._render_tooltips(l,f,T))}}_emit_callback(e){for(const t of this.computed_renderers){const s=t.data_source.inspected,{frame:n}=this.plot_view,o=n.xscales[t.x_range_name],i=n.yscales[t.y_range_name],r=o.invert(e.sx),l=i.invert(e.sy),a=Object.assign({x:r,y:l},e);this.model.callback.execute(this.model,{index:s,geometry:a,renderer:t})}}_render_tooltips(e,t,s){const n=this.model.tooltips;if(u.isString(n)){const o=_.div();return o.innerHTML=d.replace_placeholders(n,e,t,this.model.formatters,s),o}if(u.isFunction(n))return n(e,s);{const o=_.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[i,r]of n){const n=_.div({style:{display:\"table-row\"}});let l;if(o.appendChild(n),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_label},0!=i.length?i+\": \":\"\"),n.appendChild(l),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_value}),n.appendChild(l),r.indexOf(\"$color\")>=0){const[,s=\"\",n]=r.match(/\\$color(\\[.*\\])?:(\\w*)/),o=e.get_column(n);if(null==o){const e=_.span({},n+\" unknown\");l.appendChild(e);continue}const i=s.indexOf(\"hex\")>=0,a=s.indexOf(\"swatch\")>=0;let c=u.isNumber(t)?o[t]:null;if(null==c){const e=_.span({},\"(null)\");l.appendChild(e);continue}i&&(c=h.color2hex(c));let d=_.span({},c);l.appendChild(d),a&&(d=_.span({class:f.bk_tooltip_color_block,style:{backgroundColor:c}},\" \"),l.appendChild(d))}else{const n=_.span();n.innerHTML=d.replace_placeholders(r.replace(\"$~\",\"$data_\"),e,t,this.model.formatters,s),l.appendChild(n)}}return o}}}s.HoverToolView=g,g.__name__=\"HoverToolView\";class b extends o.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=x.bk_tool_icon_hover}static init_HoverTool(){this.prototype.default_view=g,this.define({tooltips:[p.Any,[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[p.Any,{}],renderers:[p.Any,\"auto\"],names:[p.Array,[]],mode:[p.HoverMode,\"mouse\"],muted_policy:[p.MutedPolicy,\"show\"],point_policy:[p.PointPolicy,\"snap_to_data\"],line_policy:[p.LinePolicy,\"nearest\"],show_arrow:[p.Boolean,!0],anchor:[p.Anchor,\"center\"],attachment:[p.TooltipAttachment,\"horizontal\"],callback:[p.Any]}),this.register_alias(\"hover\",()=>new b)}}s.HoverTool=b,b.__name__=\"HoverTool\",b.init_HoverTool()},\n",
+       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),n=t(14),s=t(71),l=t(274),c=t(356);class r extends s.Model{constructor(t){super(t)}static init_ToolProxy(){this.define({tools:[i.Array,[]],active:[i.Boolean,!1],disabled:[i.Boolean,!1]})}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof l.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new n.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,()=>this.doit()),this.connect(this.properties.active.change,()=>this.set_active());for(const t of this.tools)this.connect(t.properties.active.change,()=>{this.active=t.active})}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,i]of c.enumerate(t))if(null==e)o.push(null);else{const t=()=>{var t,o;for(const e of this.tools)null===(o=null===(t=e.menu)||void 0===t?void 0:t[i])||void 0===o||o.handler()};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=r,r.__name__=\"ToolProxy\",r.init_ToolProxy()},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=e(9);function*r(e,n){const o=e.length;if(n>o)return;const r=t.range(n);for(yield r.map(n=>e[n]);;){let f;for(const e of t.reversed(t.range(n)))if(r[e]!=e+o-n){f=e;break}if(null==f)return;r[f]+=1;for(const e of t.range(f+1,n))r[e]=r[e-1]+1;yield r.map(n=>e[n])}}o.enumerate=function*(e){let n=0;for(const o of e)yield[o,n++]},o.combinations=r,o.subsets=function*(e){for(const n of t.range(e.length+1))yield*r(e,n)}},\n",
+       "      function _(t,o,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),e=t(9),n=t(283),r=t(355),l=t(245),c=t(188);class h extends n.ToolbarBase{constructor(t){super(t)}static init_ProxyToolbar(){this.define({toolbars:[i.Array,[]]})}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const t={},o={},s={},i=[],n=[];for(const t of this.help)e.includes(n,t.redirect)||(i.push(t),n.push(t.redirect));this._proxied_tools.push(...i),this.help=i;for(const t in this.gestures){const o=this.gestures[t];t in s||(s[t]={});for(const i of o.tools)i.type in s[t]||(s[t][i.type]=[]),s[t][i.type].push(i)}for(const o of this.inspectors)o.type in t||(t[o.type]=[]),t[o.type].push(o);for(const t of this.actions)t.type in o||(o[t.type]=[]),o[t.type].push(t);const l=(t,o=!1)=>{const s=new r.ToolProxy({tools:t,active:o});return this._proxied_tools.push(s),s};for(const t in s){const o=this.gestures[t];o.tools=[];for(const i in s[t]){const e=s[t][i];if(e.length>0)if(\"multi\"==t)for(const t of e){const s=l([t]);o.tools.push(s),this.connect(s.properties.active.change,()=>this._active_change(s))}else{const t=l(e);o.tools.push(t),this.connect(t.properties.active.change,()=>this._active_change(t))}}}this.actions=[];for(const t in o){const s=o[t];if(\"CustomAction\"==t)for(const t of s)this.actions.push(l([t]));else s.length>0&&this.actions.push(l(s))}this.inspectors=[];for(const o in t){const s=t[o];s.length>0&&this.inspectors.push(l(s,!0))}for(const t in this.gestures){const o=this.gestures[t];0!=o.tools.length&&(o.tools=e.sort_by(o.tools,t=>t.default_order),\"pinch\"!=t&&\"scroll\"!=t&&\"multi\"!=t&&(o.tools[0].active=!0))}}}s.ProxyToolbar=h,h.__name__=\"ProxyToolbar\",h.init_ProxyToolbar();class a extends l.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new c.ContentBox(this.child_views[0].el);const{toolbar:t}=this.model;t.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}}s.ToolbarBoxView=a,a.__name__=\"ToolbarBoxView\";class _ extends l.LayoutDOM{constructor(t){super(t)}static init_ToolbarBox(){this.prototype.default_view=a,this.define({toolbar:[i.Instance],toolbar_location:[i.Location,\"right\"]})}}s.ToolbarBox=_,_.__name__=\"ToolbarBox\",_.init_ToolbarBox()},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(5),i=e(66),d=e(99),c=e(68),l=e(359);t.index={},t.add_document_standalone=async function(e,n,s=[],a=!1){const u=new Map;async function r(o){let a;const r=e.roots().indexOf(o),f=s[r];null!=f?a=f:n.classList.contains(l.BOKEH_ROOT)?a=n:(a=c.div({class:l.BOKEH_ROOT}),n.appendChild(a));const v=await d.build_view(o,{parent:null});return v instanceof i.DOMView&&v.renderTo(a),u.set(o,v),t.index[o.id]=v,v}for(const n of e.roots())await r(n);return a&&(window.document.title=e.title()),e.on_change(e=>{e instanceof o.RootAddedEvent?r(e.model):e instanceof o.RootRemovedEvent?function(e){const n=u.get(e);null!=n&&(n.remove(),u.delete(e),delete t.index[e.id])}(e.model):a&&e instanceof o.TitleChangedEvent&&(window.document.title=e.title)}),[...u.values()]}},\n",
+       "      function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(68),r=e(246);function l(e){let o=document.getElementById(e);if(null==o)throw new Error(`Error rendering Bokeh model: could not find #${e} HTML tag`);if(!document.body.contains(o))throw new Error(`Error rendering Bokeh model: element #${e} must be under <body>`);if(\"SCRIPT\"==o.tagName){const e=t.div({class:n.BOKEH_ROOT});t.replaceWith(o,e),o=e}return o}n.BOKEH_ROOT=r.bk_root,n._resolve_element=function(e){const{elementid:o}=e;return null!=o?l(o):document.body},n._resolve_root_elements=function(e){const o=[];if(null!=e.root_ids&&null!=e.roots)for(const n of e.root_ids)o.push(l(e.roots[n]));return o}},\n",
+       "      function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=n(361),s=n(72),c=n(358);t._get_ws_url=function(n,o){let t,e=\"ws:\";return\"https:\"==window.location.protocol&&(e=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),e+\"//\"+t.host+n+\"/ws\"};const r={};t.add_document_from_session=async function(n,o,t,a=[],i=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=e.parse_token(o).session_id;n in r||(r[n]={});const c=r[n];return s in c||(c[s]=e.pull_session(n,o,t)),c[s]}(n,o,l)}catch(n){const t=e.parse_token(o).session_id;throw s.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return c.add_document_standalone(d.document,t,a,i)}},\n",
+       "      function _(e,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(72),o=e(5),r=e(362),i=e(363),c=e(364);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let l=0;function _(e){let s=e.split(\".\")[0];const n=s.length%4;return 0!=n&&(s+=\"=\".repeat(4-n)),JSON.parse(atob(s.replace(/_/g,\"/\").replace(/-/g,\"+\")))}n.parse_token=_;class h{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,o=null){this.url=e,this.token=s,this.args_string=o,this._number=l++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new i.Receiver,this.id=_(s).session_id.split(\".\")[0],t.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=\"\"+this.url;return null!=this.args_string&&this.args_string.length>0&&(e+=\"?\"+this.args_string),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)})}catch(e){throw t.logger.error(\"websocket creation failed to url: \"+this.url),t.logger.error(\" - \"+e),e}}close(){this.closed_permanently||(t.logger.debug(\"Permanently closing websocket connection \"+this._number),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,\"close method called on ClientConnection \"+this._number),this.session._connection_closed())}_schedule_reconnect(e){setTimeout(()=>{this.closed_permanently||t.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)},e)}send(e){if(null==this.socket)throw new Error(\"not connected so cannot send \"+e);e.send(this.socket)}async send_with_reply(e){const s=await new Promise((s,n)=>{this._pending_replies.set(e.msgid(),{resolve:s,reject:n}),this.send(e)});if(\"ERROR\"===s.msgtype())throw new Error(\"Error reply \"+s.content.text);return s}async _pull_doc_json(){const e=r.Message.create(\"PULL-DOC-REQ\",{}),s=await this.send_with_reply(e);if(!(\"doc\"in s.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return s.content.doc}async _repull_session_doc(e,s){var n;t.logger.debug(this.session?\"Repulling session\":\"Pulling session for first time\");try{const n=await this._pull_doc_json();if(null==this.session)if(this.closed_permanently)t.logger.debug(\"Got new document after connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=o.Document.from_json(n),i=o.Document._compute_patch_since_json(n,s);if(i.events.length>0){t.logger.debug(`Sending ${i.events.length} changes from model construction back to server`);const e=r.Message.create(\"PATCH-DOC\",{},i);this.send(e)}this.session=new c.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],t.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),t.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),t.logger.error(\"Failed to repull session \"+e),s(e)}}_on_open(e,s){t.logger.info(`Websocket connection ${this._number} is now open`),this._current_handler=n=>{this._awaiting_ack_handler(n,e,s)}}_on_message(e){null==this._current_handler&&t.logger.error(\"Got a message with no current handler set\");try{this._receiver.consume(e.data)}catch(e){this._close_bad_protocol(e.toString())}const s=this._receiver.message;if(null!=s){const e=s.problem();null!=e&&this._close_bad_protocol(e),this._current_handler(s)}}_on_close(e,s){t.logger.info(`Lost websocket ${this._number} connection, ${e.code} (${e.reason})`),this.socket=null,this._pending_replies.forEach(e=>e.reject(\"Disconnected\")),this._pending_replies.clear(),this.closed_permanently||this._schedule_reconnect(2e3),s(new Error(`Lost websocket connection, ${e.code} (${e.reason})`))}_on_error(e){t.logger.debug(\"Websocket error on socket \"+this._number);const s=\"Could not open websocket\";t.logger.error(\"Failed to connect to Bokeh server: \"+s),e(new Error(s))}_close_bad_protocol(e){t.logger.error(\"Closing connection: \"+e),null!=this.socket&&this.socket.close(1002,e)}_awaiting_ack_handler(e,s,n){\"ACK\"===e.msgtype()?(this._current_handler=e=>this._steady_state_handler(e),this._repull_session_doc(s,n)):this._close_bad_protocol(\"First message was not an ACK\")}_steady_state_handler(e){const s=e.reqid(),n=this._pending_replies.get(s);n?(this._pending_replies.delete(s),n.resolve(e)):this.session?this.session.handle(e):\"PATCH-DOC\"!=e.msgtype()&&this._pending_messages.push(e)}}n.ClientConnection=h,h.__name__=\"ClientConnection\",n.pull_session=function(e,s,n){return new h(e,s,n).connect()}},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(24);class n{constructor(e,s,t){this.header=e,this.metadata=s,this.content=t,this.buffers=new Map}static assemble(e,s,t){const r=JSON.parse(e),i=JSON.parse(s),a=JSON.parse(t);return new n(r,i,a)}assemble_buffer(e,s){const t=null!=this.header.num_buffers?this.header.num_buffers:0;if(t<=this.buffers.size)throw new Error(\"too many buffers received, expecting \"+t);const{id:r}=JSON.parse(e);this.buffers.set(r,s)}static create(e,s,t={}){const r=n.create_header(e);return new n(r,s,t)}static create_header(e){return{msgid:r.uniqueId(),msgtype:e}}complete(){return null!=this.header&&null!=this.metadata&&null!=this.content&&(null==this.header.num_buffers||this.buffers.size==this.header.num_buffers)}send(e){if((null!=this.header.num_buffers?this.header.num_buffers:0)>0)throw new Error(\"BokehJS only supports receiving buffers, not sending\");const s=JSON.stringify(this.header),t=JSON.stringify(this.metadata),r=JSON.stringify(this.content);e.send(s),e.send(t),e.send(r)}msgid(){return this.header.msgid}msgtype(){return this.header.msgtype}reqid(){return this.header.reqid}problem(){return\"msgid\"in this.header?\"msgtype\"in this.header?null:\"No msgtype in header\":\"No msgid in header\"}}t.Message=n,n.__name__=\"Message\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const _=e(362),r=e(8);class i{constructor(){this.message=null,this._partial=null,this._fragments=[],this._buf_header=null,this._current_consumer=this._HEADER}consume(e){this._current_consumer(e)}_HEADER(e){this._assume_text(e),this.message=null,this._partial=null,this._fragments=[e],this._buf_header=null,this._current_consumer=this._METADATA}_METADATA(e){this._assume_text(e),this._fragments.push(e),this._current_consumer=this._CONTENT}_CONTENT(e){this._assume_text(e),this._fragments.push(e);const[t,s,r]=this._fragments.slice(0,3);this._partial=_.Message.assemble(t,s,r),this._check_complete()}_BUFFER_HEADER(e){this._assume_text(e),this._buf_header=e,this._current_consumer=this._BUFFER_PAYLOAD}_BUFFER_PAYLOAD(e){this._assume_binary(e),this._partial.assemble_buffer(this._buf_header,e),this._check_complete()}_assume_text(e){if(!r.isString(e))throw new Error(\"Expected text fragment but received binary fragment\")}_assume_binary(e){if(!(e instanceof ArrayBuffer))throw new Error(\"Expected binary fragment but received text fragment\")}_check_complete(){this._partial.complete()?(this.message=this._partial,this._current_consumer=this._HEADER):this._current_consumer=this._BUFFER_HEADER}}s.Receiver=i,i.__name__=\"Receiver\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(5),s=e(362),c=e(72);class i{constructor(e,t,n){this._connection=e,this.document=t,this.id=n,this._document_listener=e=>{this._document_changed(e)},this.document.on_change(this._document_listener,!0)}handle(e){const t=e.msgtype();\"PATCH-DOC\"===t?this._handle_patch(e):\"OK\"===t?this._handle_ok(e):\"ERROR\"===t?this._handle_error(e):c.logger.debug(\"Doing nothing with message \"+e.msgtype())}close(){this._connection.close()}_connection_closed(){this.document.remove_on_change(this._document_listener)}async request_server_info(){const e=s.Message.create(\"SERVER-INFO-REQ\",{});return(await this._connection.send_with_reply(e)).content}async force_roundtrip(){await this.request_server_info()}_document_changed(e){if(e.setter_id===this.id)return;const t=e instanceof o.DocumentEventBatch?e.events:[e],n=this.document.create_json_patch(t),c=s.Message.create(\"PATCH-DOC\",{},n);this._connection.send(c)}_handle_patch(e){this.document.apply_json_patch(e.content,e.buffers,this.id)}_handle_ok(e){c.logger.trace(\"Unhandled OK reply to \"+e.reqid())}_handle_error(e){c.logger.error(`Unhandled ERROR reply to ${e.reqid()}: ${e.content.text}`)}}n.ClientSession=i,i.__name__=\"ClientSession\"},\n",
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{});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END bokeh.min.js */\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN bokeh-widgets.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        factory(root[\"Bokeh\"], \"2.1.1\");\n",
+       "      })(this, function(Bokeh, version) {\n",
+       "        var define;\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
+       "          if (bokeh != null) {\n",
+       "            return bokeh.register_plugin(modules, entry, aliases);\n",
+       "          } else {\n",
+       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
+       "          }\n",
+       "        })\n",
+       "      ({\n",
+       "      390: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(391));o.Widgets=r,e(7).register_models(r)},\n",
+       "      391: function _(r,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});var a=r(392);t.AbstractButton=a.AbstractButton;var o=r(395);t.AbstractIcon=o.AbstractIcon;var u=r(396);t.AutocompleteInput=u.AutocompleteInput;var n=r(401);t.Button=n.Button;var i=r(402);t.CheckboxButtonGroup=i.CheckboxButtonGroup;var v=r(404);t.CheckboxGroup=v.CheckboxGroup;var p=r(406);t.ColorPicker=p.ColorPicker;var l=r(407);t.DatePicker=l.DatePicker;var c=r(410);t.DateRangeSlider=c.DateRangeSlider;var d=r(416);t.DateSlider=d.DateSlider;var g=r(417);t.Div=g.Div;var I=r(421);t.Dropdown=I.Dropdown;var S=r(422);t.FileInput=S.FileInput;var P=r(398);t.InputWidget=P.InputWidget;var k=r(418);t.Markup=k.Markup;var x=r(423);t.MultiSelect=x.MultiSelect;var D=r(424);t.Paragraph=D.Paragraph;var b=r(425);t.PasswordInput=b.PasswordInput;var s=r(426);t.MultiChoice=s.MultiChoice;var h=r(429);t.PreText=h.PreText;var A=r(430);t.RadioButtonGroup=A.RadioButtonGroup;var B=r(431);t.RadioGroup=B.RadioGroup;var C=r(432);t.RangeSlider=C.RangeSlider;var G=r(433);t.Select=G.Select;var R=r(434);t.Slider=R.Slider;var T=r(435);t.Spinner=T.Spinner;var M=r(397);t.TextInput=M.TextInput;var w=r(436);t.TextAreaInput=w.TextAreaInput;var W=r(437);t.Toggle=W.Toggle;var _=r(458);t.Widget=_.Widget},\n",
+       "      392: function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=i.__importStar(t(18)),o=t(68),l=t(99),r=t(393),_=t(254),c=i.__importDefault(t(256));class u extends r.ControlView{*controls(){yield this.button_el}async lazy_initialize(){await super.lazy_initialize();const{icon:t}=this.model;null!=t&&(this.icon_view=await l.build_view(t,{parent:this}))}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}remove(){null!=this.icon_view&&this.icon_view.remove(),super.remove()}styles(){return[...super.styles(),c.default]}_render_button(...t){return o.button({type:\"button\",disabled:this.model.disabled,class:[_.bk_btn,_.bk_btn_type(this.model.button_type)]},...t)}render(){super.render(),this.button_el=this._render_button(this.model.label),this.button_el.addEventListener(\"click\",()=>this.click()),null!=this.icon_view&&(o.prepend(this.button_el,this.icon_view.el,o.nbsp()),this.icon_view.render()),this.group_el=o.div({class:_.bk_btn_group},this.button_el),this.el.appendChild(this.group_el)}click(){}}n.AbstractButtonView=u,u.__name__=\"AbstractButtonView\";class a extends r.Control{constructor(t){super(t)}static init_AbstractButton(){this.define({label:[s.String,\"Button\"],icon:[s.Instance],button_type:[s.ButtonType,\"default\"]})}}n.AbstractButton=a,a.__name__=\"AbstractButton\",a.init_AbstractButton()},\n",
+       "      393: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(458),n=e(68);class i extends s.WidgetView{connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,()=>{for(const e of this.controls())n.toggle_attribute(e,\"disabled\",this.model.disabled)})}}o.ControlView=i,i.__name__=\"ControlView\";class l extends s.Widget{constructor(e){super(e)}}o.Control=l,l.__name__=\"Control\"},\n",
+       "      458: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(249),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n",
+       "      395: function _(e,t,c){Object.defineProperty(c,\"__esModule\",{value:!0});const s=e(71),n=e(66);class o extends n.DOMView{}c.AbstractIconView=o,o.__name__=\"AbstractIconView\";class _ extends s.Model{constructor(e){super(e)}}c.AbstractIcon=_,_.__name__=\"AbstractIcon\"},\n",
+       "      396: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),s=e(397),h=e(68),_=i.__importStar(e(18)),o=e(10),u=e(146),r=e(255),c=i.__importDefault(e(257));class l extends s.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),c.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",e=>this._keydown(e)),this.input_el.addEventListener(\"keyup\",e=>this._keyup(e)),this.menu=h.div({class:[r.bk_menu,u.bk_below]}),this.menu.addEventListener(\"click\",e=>this._menu_click(e)),this.menu.addEventListener(\"mouseover\",e=>this._menu_hover(e)),this.el.appendChild(this.menu),h.undisplay(this.menu)}change_input(){this._open&&this.menu.children.length>0&&(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu())}_update_completions(e){h.empty(this.menu);for(const t of e){const e=h.div({},t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(u.bk_active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,h.display(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,h.undisplay(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;t<this.menu.children.length&&this.menu.children[t].textContent!=e.target.textContent;t++);this._bump_hover(t)}}_bump_hover(e){const t=this.menu.children.length;this._open&&t>0&&(this.menu.children[this._hover_index].classList.remove(u.bk_active),this._hover_index=o.clamp(e,0,t-1),this.menu.children[this._hover_index].classList.add(u.bk_active))}_keydown(e){}_keyup(e){switch(e.keyCode){case h.Keys.Enter:this.change_input();break;case h.Keys.Esc:this._hide_menu();break;case h.Keys.Up:this._bump_hover(this._hover_index-1);break;case h.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.length<this.model.min_characters)return void this._hide_menu();const t=[],{case_sensitive:n}=this.model;let i;i=n?e=>e:e=>e.toLowerCase();for(const n of this.model.completions)i(n).startsWith(i(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class a extends s.TextInput{constructor(e){super(e)}static init_AutocompleteInput(){this.prototype.default_view=l,this.define({completions:[_.Array,[]],min_characters:[_.Int,2],case_sensitive:[_.Boolean,!0]})}}n.AutocompleteInput=a,a.__name__=\"AutocompleteInput\",a.init_AutocompleteInput()},\n",
+       "      397: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),p=n.__importStar(e(18)),u=e(400);class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.value_input.change,()=>this.input_el.value=this.model.value_input),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder)}render(){super.render(),this.input_el=l.input({type:\"text\",class:u.bk_input,name:this.model.name,value:this.model.value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.input_el.addEventListener(\"input\",()=>this.change_input_oninput()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_oninput(){this.model.value_input=this.input_el.value,super.change_input()}}i.TextInputView=a,a.__name__=\"TextInputView\";class h extends s.InputWidget{constructor(e){super(e)}static init_TextInput(){this.prototype.default_view=a,this.define({value:[p.String,\"\"],value_input:[p.String,\"\"],placeholder:[p.String,\"\"]})}}i.TextInput=h,h.__name__=\"TextInput\",h.init_TextInput()},\n",
+       "      398: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),l=t(393),s=t(68),_=n.__importStar(t(18)),o=n.__importDefault(t(399)),r=t(400);class p extends l.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,()=>{this.label_el.textContent=this.model.title})}styles(){return[...super.styles(),o.default]}render(){super.render();const{title:t}=this.model;this.label_el=s.label({style:{display:0==t.length?\"none\":\"\"}},t),this.group_el=s.div({class:r.bk_input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=p,p.__name__=\"InputWidgetView\";class u extends l.Control{constructor(t){super(t)}static init_InputWidget(){this.define({title:[_.String,\"\"]})}}i.InputWidget=u,u.__name__=\"InputWidget\",u.init_InputWidget()},\n",
+       "      399: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-input {\\n  display: inline-block;\\n  width: 100%;\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  min-height: 31px;\\n  padding: 0 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n}\\n.bk-root .bk-input:focus {\\n  border-color: #66afe9;\\n  outline: 0;\\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);\\n}\\n.bk-root .bk-input::placeholder,\\n.bk-root .bk-input:-ms-input-placeholder,\\n.bk-root .bk-input::-moz-placeholder,\\n.bk-root .bk-input::-webkit-input-placeholder {\\n  color: #999;\\n  opacity: 1;\\n}\\n.bk-root .bk-input[disabled] {\\n  cursor: not-allowed;\\n  background-color: #eee;\\n  opacity: 1;\\n}\\n.bk-root select:not([multiple]).bk-input,\\n.bk-root select:not([size]).bk-input {\\n  height: auto;\\n  appearance: none;\\n  -webkit-appearance: none;\\n  background-image: url(\\'data:image/svg+xml;utf8,<svg version=\"1.1\" viewBox=\"0 0 25 20\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M 0,0 25,0 12.5,20 Z\" fill=\"black\" /></svg>\\');\\n  background-position: right 0.5em center;\\n  background-size: 8px 6px;\\n  background-repeat: no-repeat;\\n}\\n.bk-root select[multiple].bk-input,\\n.bk-root select[size].bk-input,\\n.bk-root textarea.bk-input {\\n  height: auto;\\n}\\n.bk-root .bk-input-group {\\n  width: 100%;\\n  height: 100%;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: start;\\n  -webkit-align-items: start;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  white-space: nowrap;\\n}\\n.bk-root .bk-input-group.bk-inline {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-input-group.bk-inline > *:not(:first-child) {\\n  margin-left: 5px;\\n}\\n.bk-root .bk-input-group input[type=\"checkbox\"] + span,\\n.bk-root .bk-input-group input[type=\"radio\"] + span {\\n  position: relative;\\n  top: -2px;\\n  margin-left: 3px;\\n}\\n'},\n",
+       "      400: function _(u,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.bk_input=\"bk-input\",n.bk_input_group=\"bk-input-group\"},\n",
+       "      401: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(392),o=t(291);class s extends n.AbstractButtonView{click(){this.model.clicks=this.model.clicks+1,this.model.trigger_event(new o.ButtonClick),super.click()}}i.ButtonView=s,s.__name__=\"ButtonView\";class c extends n.AbstractButton{constructor(t){super(t)}static init_Button(){this.prototype.default_view=s,this.override({label:\"Button\"})}}i.Button=c,c.__name__=\"Button\",c.init_Button()},\n",
+       "      402: function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),c=t(403),s=t(68),n=i.__importStar(t(18)),a=t(146);class u extends c.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach((e,o)=>{s.classes(e).toggle(a.bk_active,t.has(o))})}}o.CheckboxButtonGroupView=u,u.__name__=\"CheckboxButtonGroupView\";class r extends c.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=u,this.define({active:[n.Array,[]]})}}o.CheckboxButtonGroup=r,r.__name__=\"CheckboxButtonGroup\",r.init_CheckboxButtonGroup()},\n",
+       "      403: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),o=t(393),i=t(68),r=n.__importStar(t(18)),_=t(254),u=n.__importDefault(t(256));class a extends o.ControlView{*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,()=>this.render()),this.on_change(t.labels,()=>this.render()),this.on_change(t.active,()=>this._update_active())}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map((t,e)=>{const s=i.div({class:[_.bk_btn,_.bk_btn_type(this.model.button_type)],disabled:this.model.disabled},t);return s.addEventListener(\"click\",()=>this.change_active(e)),s}),this._update_active();const t=i.div({class:_.bk_btn_group},this._buttons);this.el.appendChild(t)}}s.ButtonGroupView=a,a.__name__=\"ButtonGroupView\";class l extends o.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define({labels:[r.Array,[]],button_type:[r.ButtonType,\"default\"]})}}s.ButtonGroup=l,l.__name__=\"ButtonGroup\",l.init_ButtonGroup()},\n",
+       "      404: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(405),o=e(68),c=e(9),a=n.__importStar(e(18)),l=e(146),d=e(400);class r extends s.InputGroupView{render(){super.render();const e=o.div({class:[d.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const{active:t,labels:i}=this.model;this._inputs=[];for(let n=0;n<i.length;n++){const s=o.input({type:\"checkbox\",value:\"\"+n});s.addEventListener(\"change\",()=>this.change_active(n)),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),c.includes(t,n)&&(s.checked=!0);const a=o.label({},s,o.span({},i[n]));e.appendChild(a)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}i.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class p extends s.InputGroup{constructor(e){super(e)}static init_CheckboxGroup(){this.prototype.default_view=r,this.define({active:[a.Array,[]],labels:[a.Array,[]],inline:[a.Boolean,!1]})}}i.CheckboxGroup=p,p.__name__=\"CheckboxGroup\",p.init_CheckboxGroup()},\n",
+       "      405: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),o=e(393),r=s.__importDefault(e(399));class u extends o.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}styles(){return[...super.styles(),r.default]}}n.InputGroupView=u,u.__name__=\"InputGroupView\";class _ extends o.Control{constructor(e){super(e)}}n.InputGroup=_,_.__name__=\"InputGroup\"},\n",
+       "      406: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),o=e(398),s=e(68),l=n.__importStar(e(18)),r=e(400);class c extends o.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.color.change,()=>this.input_el.value=this.model.color),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled)}render(){super.render(),this.input_el=s.input({type:\"color\",class:r.bk_input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}t.ColorPickerView=c,c.__name__=\"ColorPickerView\";class d extends o.InputWidget{constructor(e){super(e)}static init_ColorPicker(){this.prototype.default_view=c,this.define({color:[l.Color,\"#000000\"]})}}t.ColorPicker=d,d.__name__=\"ColorPicker\",d.init_ColorPicker()},\n",
+       "      407: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=n.__importDefault(e(408)),a=e(398),l=e(68),o=n.__importStar(e(18)),r=e(8),d=e(400),c=n.__importDefault(e(409));function u(e){const t=[];for(const i of e)if(r.isString(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class _ extends a.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,()=>{var t;return null===(t=this._picker)||void 0===t?void 0:t.setDate(e.value())}),this.connect(t.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",t.value())}),this.connect(i.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",i.value())}),this.connect(n.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",n.value())}),this.connect(s.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",s.value())}),this.connect(a.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",a.value())}),this.connect(l.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",l.value())})}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),c.default]}render(){null==this._picker&&(super.render(),this.input_el=l.input({type:\"text\",class:d.bk_input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=s.default(this.input_el,{defaultDate:this.model.value,minDate:this.model.min_date,maxDate:this.model.max_date,inline:this.model.inline,position:this.model.position,disable:u(this.model.disabled_dates),enable:u(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=_,_.__name__=\"DatePickerView\";class h extends a.InputWidget{constructor(e){super(e)}static init_DatePicker(){this.prototype.default_view=_,this.define({value:[o.Any],min_date:[o.Any],max_date:[o.Any],disabled_dates:[o.Any,[]],enabled_dates:[o.Any,[]],position:[o.CalendarPosition,\"auto\"],inline:[o.Boolean,!1]})}}i.DatePicker=h,h.__name__=\"DatePicker\",h.init_DatePicker()},\n",
+       "      408: function _(e,t,n){\n",
+       "      /* flatpickr v4.6.3, @license MIT */var a,i;a=this,i=function(){\"use strict\";\n",
+       "      /*! *****************************************************************************\n",
+       "              Copyright (c) Microsoft Corporation. All rights reserved.\n",
+       "              Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n",
+       "              this file except in compliance with the License. You may obtain a copy of the\n",
+       "              License at http://www.apache.org/licenses/LICENSE-2.0\n",
+       "          \n",
+       "              THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n",
+       "              KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n",
+       "              WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n",
+       "              MERCHANTABLITY OR NON-INFRINGEMENT.\n",
+       "          \n",
+       "              See the Apache Version 2.0 License for specific language governing permissions\n",
+       "              and limitations under the License.\n",
+       "              ***************************************************************************** */var e=function(){return(e=Object.assign||function(e){for(var t,n=1,a=arguments.length;n<a;n++)for(var i in t=arguments[n])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e}).apply(this,arguments)},t=[\"onChange\",\"onClose\",\"onDayCreate\",\"onDestroy\",\"onKeyDown\",\"onMonthChange\",\"onOpen\",\"onParseConfig\",\"onReady\",\"onValueUpdate\",\"onYearChange\",\"onPreCalendarPosition\"],n={_disable:[],_enable:[],allowInput:!1,altFormat:\"F j, Y\",altInput:!1,altInputClass:\"form-control input\",animate:\"object\"==typeof window&&-1===window.navigator.userAgent.indexOf(\"MSIE\"),ariaDateFormat:\"F j, Y\",clickOpens:!0,closeOnSelect:!0,conjunction:\", \",dateFormat:\"Y-m-d\",defaultHour:12,defaultMinute:0,defaultSeconds:0,disable:[],disableMobile:!1,enable:[],enableSeconds:!1,enableTime:!1,errorHandler:function(e){return\"undefined\"!=typeof 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n=t?e:e-h.currentMonth;n<0&&!0===h._hidePrevMonthArrow||n>0&&!0===h._hideNextMonthArrow||(h.currentMonth+=n,(h.currentMonth<0||h.currentMonth>11)&&(h.currentYear+=h.currentMonth>11?1:-1,h.currentMonth=(h.currentMonth+12)%12,fe(\"onYearChange\"),B()),R(),fe(\"onMonthChange\"),pe())}function z(e){return!(!h.config.appendTo||!h.config.appendTo.contains(e))||h.calendarContainer.contains(e)}function G(e){if(h.isOpen&&!h.config.inline){var t=\"function\"==typeof(r=e).composedPath?r.composedPath()[0]:r.target,n=z(t),a=t===h.input||t===h.altInput||h.element.contains(t)||e.path&&e.path.indexOf&&(~e.path.indexOf(h.input)||~e.path.indexOf(h.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!z(e.relatedTarget):!a&&!n&&!z(e.relatedTarget),o=!h.config.ignoredFocusElements.some((function(e){return e.contains(t)}));i&&o&&(void 0!==h.timeContainer&&void 0!==h.minuteElement&&void 0!==h.hourElement&&x(),h.close(),\"range\"===h.config.mode&&1===h.selectedDates.length&&(h.clear(!1),h.redraw()))}var 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0!==n&&r.getTime()===n.getTime())return a;if(\"string\"==typeof r&&void 0!==n){var l=h.parseDate(r,void 0,!0);return l&&l.getTime()===n.getTime()?a:!a}if(\"object\"==typeof r&&void 0!==n&&r.from&&r.to&&n.getTime()>=r.from.getTime()&&n.getTime()<=r.to.getTime())return a}return!a}function Q(e){return void 0!==h.daysContainer&&-1===e.className.indexOf(\"hidden\")&&h.daysContainer.contains(e)}function X(e){var t=e.target===h._input,n=h.config.allowInput,a=h.isOpen&&(!n||!t),i=h.config.inline&&t&&!n;if(13===e.keyCode&&t){if(n)return h.setDate(h._input.value,!0,e.target===h.altInput?h.config.altFormat:h.config.dateFormat),e.target.blur();h.open()}else if(z(e.target)||a||i){var o=!!h.timeContainer&&h.timeContainer.contains(e.target);switch(e.keyCode){case 13:o?(e.preventDefault(),x(),le()):ce(e);break;case 27:e.preventDefault(),le();break;case 8:case 46:t&&!h.config.allowInput&&(e.preventDefault(),h.clear());break;case 37:case 39:if(o||t)h.hourElement&&h.hourElement.focus();else if(e.preventDefault(),void 0!==h.daysContainer&&(!1===n||document.activeElement&&Q(document.activeElement))){var r=39===e.keyCode?1:-1;e.ctrlKey?(e.stopPropagation(),$(r),L(H(1),0)):L(void 0,r)}break;case 38:case 40:e.preventDefault();var l=40===e.keyCode?1:-1;h.daysContainer&&void 0!==e.target.$i||e.target===h.input||e.target===h.altInput?e.ctrlKey?(e.stopPropagation(),V(h.currentYear-l),L(H(1),0)):o||L(void 0,7*l):e.target===h.currentYearElement?V(h.currentYear-l):h.config.enableTime&&(!o&&h.hourElement&&h.hourElement.focus(),x(e),h._debouncedChange());break;case 9:if(o){var c=[h.hourElement,h.minuteElement,h.secondElement,h.amPM].concat(h.pluginElements).filter((function(e){return e})),d=c.indexOf(e.target);if(-1!==d){var s=c[d+(e.shiftKey?-1:1)];e.preventDefault(),(s||h._input).focus()}}else!h.config.noCalendar&&h.daysContainer&&h.daysContainer.contains(e.target)&&e.shiftKey&&(e.preventDefault(),h._input.focus())}}if(void 0!==h.amPM&&e.target===h.amPM)switch(e.key){case h.l10n.amPM[0].charAt(0):case h.l10n.amPM[0].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[0],E(),ve();break;case h.l10n.amPM[1].charAt(0):case h.l10n.amPM[1].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[1],E(),ve()}(t||z(e.target))&&fe(\"onKeyDown\",e)}function ee(e){if(1===h.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var t=e?e.dateObj.getTime():h.days.firstElementChild.dateObj.getTime(),n=h.parseDate(h.selectedDates[0],void 0,!0).getTime(),a=Math.min(t,h.selectedDates[0].getTime()),i=Math.max(t,h.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;c<i;c+=b)Z(new Date(c),!0)||(o=o||c>a&&c<i,c<n&&(!r||c>r)?r=c:c>n&&(!l||c<l)&&(l=c));for(var d=0;d<h.config.showMonths;d++)for(var s=h.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(t<=h.selectedDates[0].getTime()?\"startRange\":\"endRange\"),n<t&&m===n?f.classList.add(\"startRange\"):n>t&&m===n&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=n,u=t,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function te(){!h.isOpen||h.config.static||h.config.inline||oe()}function ne(){h.setDate(void 0!==h.config.minDate?new Date(h.config.minDate.getTime()):new Date,!0),k(),ve()}function ae(e){return function(t){var n=h.config[\"_\"+e+\"Date\"]=h.parseDate(t,h.config.dateFormat),a=h.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==n&&(h[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=n.getHours()>0||n.getMinutes()>0||n.getSeconds()>0),h.selectedDates&&(h.selectedDates=h.selectedDates.filter((function(e){return Z(e)})),h.selectedDates.length||\"min\"!==e||T(n),ve()),h.daysContainer&&(re(),void 0!==n?h.currentYearElement[e]=n.getFullYear().toString():h.currentYearElement.removeAttribute(e),h.currentYearElement.disabled=!!a&&void 0!==n&&a.getFullYear()===n.getFullYear())}}function ie(){\"object\"!=typeof h.config.locale&&void 0===y.l10ns[h.config.locale]&&h.config.errorHandler(new Error(\"flatpickr: invalid locale \"+h.config.locale)),h.l10n=e({},y.l10ns.default,\"object\"==typeof h.config.locale?h.config.locale:\"default\"!==h.config.locale?y.l10ns[h.config.locale]:void 0),p.K=\"(\"+h.l10n.amPM[0]+\"|\"+h.l10n.amPM[1]+\"|\"+h.l10n.amPM[0].toLowerCase()+\"|\"+h.l10n.amPM[1].toLowerCase()+\")\",void 0===e({},g,JSON.parse(JSON.stringify(f.dataset||{}))).time_24hr&&void 0===y.defaultConfig.time_24hr&&(h.config.time_24hr=h.l10n.time_24hr),h.formatDate=v(h),h.parseDate=D({config:h.config,l10n:h.l10n})}function oe(e){if(void 0!==h.calendarContainer){fe(\"onPreCalendarPosition\");var t=e||h._positionElement,n=Array.prototype.reduce.call(h.calendarContainer.children,(function(e,t){return e+t.offsetHeight}),0),a=h.calendarContainer.offsetWidth,i=h.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=t.getBoundingClientRect(),d=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&d<n&&l.top>n,u=window.pageYOffset+l.top+(s?-n-2:t.offsetHeight+2);if(c(h.calendarContainer,\"arrowTop\",!s),c(h.calendarContainer,\"arrowBottom\",s),!h.config.inline){var f=window.pageXOffset+l.left-(null!=r&&\"center\"===r?(a-l.width)/2:0),m=window.document.body.offsetWidth-(window.pageXOffset+l.right),g=f+a>window.document.body.offsetWidth,p=m+a>window.document.body.offsetWidth;if(c(h.calendarContainer,\"rightMost\",g),!h.config.static)if(h.calendarContainer.style.top=u+\"px\",g)if(p){var v=document.styleSheets[0];if(void 0===v)return;var D=window.document.body.offsetWidth,w=Math.max(0,D/2-a/2),b=v.cssRules.length,C=\"{left:\"+l.left+\"px;right:auto;}\";c(h.calendarContainer,\"rightMost\",!1),c(h.calendarContainer,\"centerMost\",!0),v.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+C,b),h.calendarContainer.style.left=w+\"px\",h.calendarContainer.style.right=\"auto\"}else h.calendarContainer.style.left=\"auto\",h.calendarContainer.style.right=m+\"px\";else h.calendarContainer.style.left=f+\"px\",h.calendarContainer.style.right=\"auto\"}}}function re(){h.config.noCalendar||h.isMobile||(pe(),R())}function le(){h._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(h.close,0):h.close()}function ce(e){e.preventDefault(),e.stopPropagation();var t=function e(t,n){return n(t)?t:t.parentNode?e(t.parentNode,n):void 0}(e.target,(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==t){var n=t,a=h.latestSelectedDateObj=new Date(n.dateObj.getTime()),i=(a.getMonth()<h.currentMonth||a.getMonth()>h.currentMonth+h.config.showMonths-1)&&\"range\"!==h.config.mode;if(h.selectedDateElem=n,\"single\"===h.config.mode)h.selectedDates=[a];else if(\"multiple\"===h.config.mode){var o=ge(a);o?h.selectedDates.splice(parseInt(o),1):h.selectedDates.push(a)}else\"range\"===h.config.mode&&(2===h.selectedDates.length&&h.clear(!1,!1),h.latestSelectedDateObj=a,h.selectedDates.push(a),0!==w(a,h.selectedDates[0],!0)&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()})));if(E(),i){var r=h.currentYear!==a.getFullYear();h.currentYear=a.getFullYear(),h.currentMonth=a.getMonth(),r&&(fe(\"onYearChange\"),B()),fe(\"onMonthChange\")}if(pe(),R(),ve(),h.config.enableTime&&setTimeout((function(){return h.showTimeInput=!0}),50),i||\"range\"===h.config.mode||1!==h.config.showMonths?void 0!==h.selectedDateElem&&void 0===h.hourElement&&h.selectedDateElem&&h.selectedDateElem.focus():j(n),void 0!==h.hourElement&&void 0!==h.hourElement&&h.hourElement.focus(),h.config.closeOnSelect){var l=\"single\"===h.config.mode&&!h.config.enableTime,c=\"range\"===h.config.mode&&2===h.selectedDates.length&&!h.config.enableTime;(l||c)&&le()}F()}}h.parseDate=D({config:h.config,l10n:h.l10n}),h._handlers=[],h.pluginElements=[],h.loadedPlugins=[],h._bind=O,h._setHoursFromDate=T,h._positionCalendar=oe,h.changeMonth=$,h.changeYear=V,h.clear=function(e,t){void 0===e&&(e=!0),void 0===t&&(t=!0),h.input.value=\"\",void 0!==h.altInput&&(h.altInput.value=\"\"),void 0!==h.mobileInput&&(h.mobileInput.value=\"\"),h.selectedDates=[],h.latestSelectedDateObj=void 0,!0===t&&(h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth()),h.showTimeInput=!1,!0===h.config.enableTime&&k(),h.redraw(),e&&fe(\"onChange\")},h.close=function(){h.isOpen=!1,h.isMobile||(void 0!==h.calendarContainer&&h.calendarContainer.classList.remove(\"open\"),void 0!==h._input&&h._input.classList.remove(\"active\")),fe(\"onClose\")},h._createElement=d,h.destroy=function(){void 0!==h.config&&fe(\"onDestroy\");for(var e=h._handlers.length;e--;){var t=h._handlers[e];t.element.removeEventListener(t.event,t.handler,t.options)}if(h._handlers=[],h.mobileInput)h.mobileInput.parentNode&&h.mobileInput.parentNode.removeChild(h.mobileInput),h.mobileInput=void 0;else if(h.calendarContainer&&h.calendarContainer.parentNode)if(h.config.static&&h.calendarContainer.parentNode){var n=h.calendarContainer.parentNode;if(n.lastChild&&n.removeChild(n.lastChild),n.parentNode){for(;n.firstChild;)n.parentNode.insertBefore(n.firstChild,n);n.parentNode.removeChild(n)}}else h.calendarContainer.parentNode.removeChild(h.calendarContainer);h.altInput&&(h.input.type=\"text\",h.altInput.parentNode&&h.altInput.parentNode.removeChild(h.altInput),delete 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0!==h.mobileInput&&(h.mobileInput.focus(),h.mobileInput.click()),void fe(\"onOpen\");if(!h._input.disabled&&!h.config.inline){var n=h.isOpen;h.isOpen=!0,n||(h.calendarContainer.classList.add(\"open\"),h._input.classList.add(\"active\"),fe(\"onOpen\"),oe(t)),!0===h.config.enableTime&&!0===h.config.noCalendar&&(0===h.selectedDates.length&&ne(),!1!==h.config.allowInput||void 0!==e&&h.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return h.hourElement.select()}),50))}},h.redraw=re,h.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(h.config,e),e)void 0!==de[a]&&de[a].forEach((function(e){return e()}));else h.config[e]=n,void 0!==de[e]?de[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(h.config[e]=l(n));h.redraw(),ve(!1)},h.setDate=function(e,t,n){if(void 0===t&&(t=!1),void 0===n&&(n=h.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return h.clear(t);se(e,n),h.showTimeInput=h.selectedDates.length>0,h.latestSelectedDateObj=h.selectedDates[h.selectedDates.length-1],h.redraw(),N(),T(),0===h.selectedDates.length&&h.clear(!1),ve(t),t&&fe(\"onChange\")},h.toggle=function(e){if(!0===h.isOpen)return h.close();h.open(e)};var de={locale:[ie,q],showMonths:[K,M,U],minDate:[N],maxDate:[N]};function se(e,t){var n=[];if(e instanceof Array)n=e.map((function(e){return h.parseDate(e,t)}));else if(e instanceof Date||\"number\"==typeof e)n=[h.parseDate(e,t)];else if(\"string\"==typeof e)switch(h.config.mode){case\"single\":case\"time\":n=[h.parseDate(e,t)];break;case\"multiple\":n=e.split(h.config.conjunction).map((function(e){return h.parseDate(e,t)}));break;case\"range\":n=e.split(h.l10n.rangeSeparator).map((function(e){return h.parseDate(e,t)}))}else h.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));h.selectedDates=n.filter((function(e){return e instanceof Date&&Z(e,!1)})),\"range\"===h.config.mode&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()}))}function ue(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?h.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:h.parseDate(e.from,void 0),to:h.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function fe(e,t){if(void 0!==h.config){var n=h.config[e];if(void 0!==n&&n.length>0)for(var a=0;n[a]&&a<n.length;a++)n[a](h.selectedDates,h.input.value,h,t);\"onChange\"===e&&(h.input.dispatchEvent(me(\"change\")),h.input.dispatchEvent(me(\"input\")))}}function me(e){var t=document.createEvent(\"Event\");return t.initEvent(e,!0,!0),t}function ge(e){for(var t=0;t<h.selectedDates.length;t++)if(0===w(h.selectedDates[t],e))return\"\"+t;return!1}function pe(){h.config.noCalendar||h.isMobile||!h.monthNav||(h.yearElements.forEach((function(e,t){var n=new Date(h.currentYear,h.currentMonth,1);n.setMonth(h.currentMonth+t),h.config.showMonths>1||\"static\"===h.config.monthSelectorType?h.monthElements[t].textContent=m(n.getMonth(),h.config.shorthandCurrentMonth,h.l10n)+\" \":h.monthsDropdownContainer.value=n.getMonth().toString(),e.value=n.getFullYear().toString()})),h._hidePrevMonthArrow=void 0!==h.config.minDate&&(h.currentYear===h.config.minDate.getFullYear()?h.currentMonth<=h.config.minDate.getMonth():h.currentYear<h.config.minDate.getFullYear()),h._hideNextMonthArrow=void 0!==h.config.maxDate&&(h.currentYear===h.config.maxDate.getFullYear()?h.currentMonth+1>h.config.maxDate.getMonth():h.currentYear>h.config.maxDate.getFullYear()))}function he(e){return h.selectedDates.map((function(t){return h.formatDate(t,e)})).filter((function(e,t,n){return\"range\"!==h.config.mode||h.config.enableTime||n.indexOf(e)===t})).join(\"range\"!==h.config.mode?h.config.conjunction:h.l10n.rangeSeparator)}function ve(e){void 0===e&&(e=!0),void 0!==h.mobileInput&&h.mobileFormatStr&&(h.mobileInput.value=void 0!==h.latestSelectedDateObj?h.formatDate(h.latestSelectedDateObj,h.mobileFormatStr):\"\"),h.input.value=he(h.config.dateFormat),void 0!==h.altInput&&(h.altInput.value=he(h.config.altFormat)),!1!==e&&fe(\"onValueUpdate\")}function De(e){var t=h.prevMonthNav.contains(e.target),n=h.nextMonthNav.contains(e.target);t||n?$(t?-1:1):h.yearElements.indexOf(e.target)>=0?e.target.select():e.target.classList.contains(\"arrowUp\")?h.changeYear(h.currentYear+1):e.target.classList.contains(\"arrowDown\")&&h.changeYear(h.currentYear-1)}return function(){h.element=h.input=f,h.isOpen=!1,function(){var 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-webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  overflow: hidden;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\n.flatpickr-months .flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month {\\n  text-decoration: none;\\n  cursor: pointer;\\n  position: absolute;\\n  top: 0;\\n  height: 34px;\\n  padding: 10px;\\n  z-index: 3;\\n  color: rgba(0, 0, 0, 0.9);\\n  fill: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-disabled,\\n.flatpickr-months .flatpickr-next-month.flatpickr-disabled {\\n  display: none;\\n}\\n.flatpickr-months .flatpickr-prev-month i,\\n.flatpickr-months .flatpickr-next-month i {\\n  position: relative;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-prev-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  left: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month.flatpickr-next-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-next-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  right: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month:hover,\\n.flatpickr-months .flatpickr-next-month:hover {\\n  color: #959ea9;\\n}\\n.flatpickr-months .flatpickr-prev-month:hover svg,\\n.flatpickr-months .flatpickr-next-month:hover svg {\\n  fill: #f64747;\\n}\\n.flatpickr-months .flatpickr-prev-month svg,\\n.flatpickr-months .flatpickr-next-month svg {\\n  width: 14px;\\n  height: 14px;\\n}\\n.flatpickr-months .flatpickr-prev-month svg path,\\n.flatpickr-months .flatpickr-next-month svg path {\\n  -webkit-transition: fill 0.1s;\\n  transition: fill 0.1s;\\n  fill: inherit;\\n}\\n.numInputWrapper {\\n  position: relative;\\n  height: auto;\\n}\\n.numInputWrapper input,\\n.numInputWrapper span {\\n  display: inline-block;\\n}\\n.numInputWrapper input {\\n  width: 100%;\\n}\\n.numInputWrapper input::-ms-clear {\\n  display: none;\\n}\\n.numInputWrapper input::-webkit-outer-spin-button,\\n.numInputWrapper input::-webkit-inner-spin-button {\\n  margin: 0;\\n  -webkit-appearance: none;\\n}\\n.numInputWrapper span {\\n  position: absolute;\\n  right: 0;\\n  width: 14px;\\n  padding: 0 4px 0 2px;\\n  height: 50%;\\n  line-height: 50%;\\n  opacity: 0;\\n  cursor: pointer;\\n  border: 1px solid rgba(57, 57, 57, 0.15);\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.numInputWrapper span:hover {\\n  background: rgba(0, 0, 0, 0.1);\\n}\\n.numInputWrapper span:active {\\n  background: rgba(0, 0, 0, 0.2);\\n}\\n.numInputWrapper span:after {\\n  display: block;\\n  content: \"\";\\n  position: absolute;\\n}\\n.numInputWrapper span.arrowUp {\\n  top: 0;\\n  border-bottom: 0;\\n}\\n.numInputWrapper span.arrowUp:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-bottom: 4px solid rgba(57, 57, 57, 0.6);\\n  top: 26%;\\n}\\n.numInputWrapper span.arrowDown {\\n  top: 50%;\\n}\\n.numInputWrapper span.arrowDown:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-top: 4px solid rgba(57, 57, 57, 0.6);\\n  top: 40%;\\n}\\n.numInputWrapper span svg {\\n  width: inherit;\\n  height: auto;\\n}\\n.numInputWrapper span svg path {\\n  fill: rgba(0, 0, 0, 0.5);\\n}\\n.numInputWrapper:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.numInputWrapper:hover span {\\n  opacity: 1;\\n}\\n.flatpickr-current-month {\\n  font-size: 135%;\\n  line-height: inherit;\\n  font-weight: 300;\\n  color: inherit;\\n  position: absolute;\\n  width: 75%;\\n  left: 12.5%;\\n  padding: 7.48px 0 0 0;\\n  line-height: 1;\\n  height: 34px;\\n  display: inline-block;\\n  text-align: center;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n}\\n.flatpickr-current-month span.cur-month {\\n  font-family: inherit;\\n  font-weight: 700;\\n  color: inherit;\\n  display: inline-block;\\n  margin-left: 0.5ch;\\n  padding: 0;\\n}\\n.flatpickr-current-month span.cur-month:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .numInputWrapper {\\n  width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(0, 0, 0, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: transparent;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: transparent;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: transparent;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: transparent;\\n  color: rgba(0, 0, 0, 0.54);\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #e6e6e6;\\n  box-shadow: -1px 0 0 #e6e6e6;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #393939;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e6e6e6;\\n  border-color: #e6e6e6;\\n}\\n.flatpickr-day.today {\\n  border-color: #959ea9;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #959ea9;\\n  background: #959ea9;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #569ff7;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #569ff7;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #569ff7;\\n  box-shadow: -10px 0 0 #569ff7;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(57, 57, 57, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n  box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  -webkit-box-shadow: 1px 0 0 #e6e6e6;\\n  box-shadow: 1px 0 0 #e6e6e6;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #393939;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #393939;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #393939;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #393939;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eee;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n.flatpickr-calendar {\\n  background: transparent;\\n  opacity: 0;\\n  display: none;\\n  text-align: center;\\n  visibility: hidden;\\n  padding: 0;\\n  -webkit-animation: none;\\n  animation: none;\\n  direction: ltr;\\n  border: 0;\\n  font-size: 14px;\\n  line-height: 24px;\\n  border-radius: 5px;\\n  position: absolute;\\n  width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -ms-touch-action: manipulation;\\n  touch-action: manipulation;\\n  -webkit-box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n  box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n}\\n.flatpickr-calendar.open,\\n.flatpickr-calendar.inline {\\n  opacity: 1;\\n  max-height: 640px;\\n  visibility: visible;\\n}\\n.flatpickr-calendar.open {\\n  display: inline-block;\\n  z-index: 99999;\\n}\\n.flatpickr-calendar.animate.open {\\n  -webkit-animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n  animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n}\\n.flatpickr-calendar.inline {\\n  display: block;\\n  position: relative;\\n  top: 2px;\\n}\\n.flatpickr-calendar.static {\\n  position: absolute;\\n  top: calc(100% + 2px);\\n}\\n.flatpickr-calendar.static.open {\\n  z-index: 999;\\n  display: block;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+1) .flatpickr-day.inRange:nth-child(7n+7) {\\n  -webkit-box-shadow: none !important;\\n  box-shadow: none !important;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+2) .flatpickr-day.inRange:nth-child(7n+1) {\\n  -webkit-box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer,\\n.flatpickr-calendar .hasTime .dayContainer {\\n  border-bottom: 0;\\n  border-bottom-right-radius: 0;\\n  border-bottom-left-radius: 0;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer {\\n  border-left: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  height: 40px;\\n  border-top: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-innerContainer {\\n  border-bottom: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  border: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.noCalendar.hasTime .flatpickr-time {\\n  height: auto;\\n}\\n.flatpickr-calendar:before,\\n.flatpickr-calendar:after {\\n  position: absolute;\\n  display: block;\\n  pointer-events: none;\\n  border: solid transparent;\\n  content: \\'\\';\\n  height: 0;\\n  width: 0;\\n  left: 22px;\\n}\\n.flatpickr-calendar.rightMost:before,\\n.flatpickr-calendar.rightMost:after {\\n  left: auto;\\n  right: 22px;\\n}\\n.flatpickr-calendar:before {\\n  border-width: 5px;\\n  margin: 0 -5px;\\n}\\n.flatpickr-calendar:after {\\n  border-width: 4px;\\n  margin: 0 -4px;\\n}\\n.flatpickr-calendar.arrowTop:before,\\n.flatpickr-calendar.arrowTop:after {\\n  bottom: 100%;\\n}\\n.flatpickr-calendar.arrowTop:before {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowTop:after {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:before,\\n.flatpickr-calendar.arrowBottom:after {\\n  top: 100%;\\n}\\n.flatpickr-calendar.arrowBottom:before {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:after {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar:focus {\\n  outline: 0;\\n}\\n.flatpickr-wrapper {\\n  position: relative;\\n  display: inline-block;\\n}\\n.flatpickr-months {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-months .flatpickr-month {\\n  border-radius: 5px 5px 0 0;\\n  background: #eceef1;\\n  color: #5a6171;\\n  fill: #5a6171;\\n  height: 34px;\\n  line-height: 1;\\n  text-align: center;\\n  position: relative;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  overflow: hidden;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\n.flatpickr-months .flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month {\\n  text-decoration: none;\\n  cursor: pointer;\\n  position: absolute;\\n  top: 0;\\n  height: 34px;\\n  padding: 10px;\\n  z-index: 3;\\n  color: #5a6171;\\n  fill: #5a6171;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-disabled,\\n.flatpickr-months .flatpickr-next-month.flatpickr-disabled {\\n  display: none;\\n}\\n.flatpickr-months .flatpickr-prev-month i,\\n.flatpickr-months .flatpickr-next-month i {\\n  position: relative;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-prev-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  left: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month.flatpickr-next-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-next-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  right: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month:hover,\\n.flatpickr-months .flatpickr-next-month:hover {\\n  color: #bbb;\\n}\\n.flatpickr-months .flatpickr-prev-month:hover svg,\\n.flatpickr-months .flatpickr-next-month:hover svg {\\n  fill: #f64747;\\n}\\n.flatpickr-months .flatpickr-prev-month svg,\\n.flatpickr-months .flatpickr-next-month svg {\\n  width: 14px;\\n  height: 14px;\\n}\\n.flatpickr-months .flatpickr-prev-month svg path,\\n.flatpickr-months .flatpickr-next-month svg path {\\n  -webkit-transition: fill 0.1s;\\n  transition: fill 0.1s;\\n  fill: inherit;\\n}\\n.numInputWrapper {\\n  position: relative;\\n  height: auto;\\n}\\n.numInputWrapper input,\\n.numInputWrapper span {\\n  display: inline-block;\\n}\\n.numInputWrapper input {\\n  width: 100%;\\n}\\n.numInputWrapper input::-ms-clear {\\n  display: none;\\n}\\n.numInputWrapper input::-webkit-outer-spin-button,\\n.numInputWrapper input::-webkit-inner-spin-button {\\n  margin: 0;\\n  -webkit-appearance: none;\\n}\\n.numInputWrapper span {\\n  position: absolute;\\n  right: 0;\\n  width: 14px;\\n  padding: 0 4px 0 2px;\\n  height: 50%;\\n  line-height: 50%;\\n  opacity: 0;\\n  cursor: pointer;\\n  border: 1px solid rgba(72, 72, 72, 0.15);\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.numInputWrapper span:hover {\\n  background: rgba(0, 0, 0, 0.1);\\n}\\n.numInputWrapper span:active {\\n  background: rgba(0, 0, 0, 0.2);\\n}\\n.numInputWrapper span:after {\\n  display: block;\\n  content: \"\";\\n  position: absolute;\\n}\\n.numInputWrapper span.arrowUp {\\n  top: 0;\\n  border-bottom: 0;\\n}\\n.numInputWrapper span.arrowUp:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-bottom: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 26%;\\n}\\n.numInputWrapper span.arrowDown {\\n  top: 50%;\\n}\\n.numInputWrapper span.arrowDown:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-top: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 40%;\\n}\\n.numInputWrapper span svg {\\n  width: inherit;\\n  height: auto;\\n}\\n.numInputWrapper span svg path {\\n  fill: rgba(90, 97, 113, 0.5);\\n}\\n.numInputWrapper:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.numInputWrapper:hover span {\\n  opacity: 1;\\n}\\n.flatpickr-current-month {\\n  font-size: 135%;\\n  line-height: inherit;\\n  font-weight: 300;\\n  color: inherit;\\n  position: absolute;\\n  width: 75%;\\n  left: 12.5%;\\n  padding: 7.48px 0 0 0;\\n  line-height: 1;\\n  height: 34px;\\n  display: inline-block;\\n  text-align: center;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n}\\n.flatpickr-current-month span.cur-month {\\n  font-family: inherit;\\n  font-weight: 700;\\n  color: inherit;\\n  display: inline-block;\\n  margin-left: 0.5ch;\\n  padding: 0;\\n}\\n.flatpickr-current-month span.cur-month:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .numInputWrapper {\\n  width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #5a6171;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: #5a6171;\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(90, 97, 113, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: #eceef1;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: #eceef1;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: #eceef1;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: #eceef1;\\n  color: #5a6171;\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n  border-left: 1px solid #eceef1;\\n  border-right: 1px solid #eceef1;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #eceef1;\\n  box-shadow: -1px 0 0 #eceef1;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #484848;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e2e2e2;\\n  border-color: #e2e2e2;\\n}\\n.flatpickr-day.today {\\n  border-color: #bbb;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #bbb;\\n  background: #bbb;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #ff5a5f;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #ff5a5f;\\n  box-shadow: -10px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n  box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(72, 72, 72, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n  box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  border-left: 1px solid #eceef1;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  background: #fff;\\n  border-bottom: 1px solid #eceef1;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  background: #fff;\\n  border-radius: 0 0 5px 5px;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #484848;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #484848;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #484848;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #484848;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eaeaea;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\nspan.flatpickr-day.selected {\\n  font-weight: bold;\\n}\\n'},\n",
+       "      410: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(1).__importDefault(e(159)),r=e(411);class n extends r.AbstractRangeSliderView{}a.DateRangeSliderView=n,n.__name__=\"DateRangeSliderView\";class d extends r.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_DateRangeSlider(){this.prototype.default_view=n,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return i.default(e,t)}}a.DateRangeSlider=d,d.__name__=\"DateRangeSlider\",d.init_DateRangeSlider()},\n",
+       "      411: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=i.__importStar(e(412)),r=i.__importStar(e(18)),o=e(68),n=e(9),a=e(393),d=e(413),h=e(400),_=i.__importDefault(e(414)),c=i.__importDefault(e(415));class u extends a.ControlView{*controls(){yield this.slider_el}get noUiSlider(){return this.slider_el.noUiSlider}connect_signals(){super.connect_signals();const{direction:e,orientation:t,tooltips:s}=this.model.properties;this.on_change([e,t,s],()=>this.render());const{start:i,end:l,value:r,step:o,title:n}=this.model.properties;this.on_change([i,l,r,o],()=>{const{start:e,end:t,value:s,step:i}=this._calc_to();this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i})});const{bar_color:a}=this.model.properties;this.on_change(a,()=>{this._set_bar_color()});const{show_value:d}=this.model.properties;this.on_change([r,n,d],()=>this._update_title())}styles(){return[...super.styles(),_.default,c.default]}_update_title(){o.empty(this.title_el);const e=null==this.model.title||0==this.model.title.length&&!this.model.show_value;if(this.title_el.style.display=e?\"none\":\"\",!e&&(0!=this.model.title.length&&(this.title_el.textContent=this.model.title+\": \"),this.model.show_value)){const{value:e}=this._calc_to(),t=e.map(e=>this.model.pretty(e)).join(\" .. \");this.title_el.appendChild(o.span({class:d.bk_slider_value},t))}}_set_bar_color(){if(!this.model.disabled){this.slider_el.querySelector(\".noUi-connect\").style.backgroundColor=this.model.bar_color}}_keypress_handle(e,t=0){const{start:s,value:i,end:l,step:r}=this._calc_to(),o=2==i.length;let n=s,a=l;switch(o&&0==t?a=i[1]:o&&1==t&&(n=i[0]),e.which){case 37:i[t]=Math.max(i[t]-r,n);break;case 39:i[t]=Math.min(i[t]+r,a);break;default:return}this.model.value=o?i:i[0],this.model.properties.value.change.emit(),this.model.value_throttled=this.model.value,this.noUiSlider.set(i)}render(){super.render();const{start:e,end:t,value:s,step:i}=this._calc_to();let r;if(this.model.tooltips){const e={to:e=>this.model.pretty(e)};r=n.repeat(e,s.length)}else r=!1;if(null==this.slider_el){this.slider_el=o.div(),l.create(this.slider_el,{range:{min:e,max:t},start:s,step:i,behaviour:this.model.behaviour,connect:this.model.connected,tooltips:r,orientation:this.model.orientation,direction:this.model.direction}),this.noUiSlider.on(\"slide\",(e,t,s)=>this._slide(s)),this.noUiSlider.on(\"change\",(e,t,s)=>this._change(s)),this._set_keypress_handles();const n=(e,t)=>{if(!r)return;this.slider_el.querySelectorAll(\".noUi-handle\")[e].querySelector(\".noUi-tooltip\").style.display=t?\"block\":\"\"};this.noUiSlider.on(\"start\",(e,t)=>n(t,!0)),this.noUiSlider.on(\"end\",(e,t)=>n(t,!1))}else this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i});this._set_bar_color(),this.model.disabled?this.slider_el.setAttribute(\"disabled\",\"true\"):this.slider_el.removeAttribute(\"disabled\"),this.title_el=o.div({class:d.bk_slider_title}),this._update_title(),this.group_el=o.div({class:h.bk_input_group},this.title_el,this.slider_el),this.el.appendChild(this.group_el)}_slide(e){this.model.value=this._calc_from(e)}_change(e){this.model.value=this._calc_from(e),this.model.value_throttled=this.model.value}}u.__name__=\"AbstractBaseSliderView\";class m extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:[this.model.value],step:this.model.step}}_calc_from([e]){return Number.isInteger(this.model.start)&&Number.isInteger(this.model.end)&&Number.isInteger(this.model.step)?Math.round(e):e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e))}}s.AbstractSliderView=m,m.__name__=\"AbstractSliderView\";class p extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:this.model.value,step:this.model.step}}_calc_from(e){return e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle-lower\"),t=this.slider_el.querySelector(\".noUi-handle-upper\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e,0)),t.setAttribute(\"tabindex\",\"1\"),t.addEventListener(\"keydown\",e=>this._keypress_handle(e,1))}}s.AbstractRangeSliderView=p,p.__name__=\"AbstractRangeSliderView\";class b extends a.Control{constructor(e){super(e),this.connected=!1}static init_AbstractSlider(){this.define({title:[r.String,\"\"],show_value:[r.Boolean,!0],start:[r.Any],end:[r.Any],value:[r.Any],value_throttled:[r.Any],step:[r.Number,1],format:[r.Any],direction:[r.Any,\"ltr\"],tooltips:[r.Boolean,!0],bar_color:[r.Color,\"#e6e6e6\"]})}_formatter(e,t){return\"\"+e}pretty(e){return this._formatter(e,this.format)}}s.AbstractSlider=b,b.__name__=\"AbstractSlider\",b.init_AbstractSlider()},\n",
+       "      412: function _(t,e,r){\n",
+       "      /*! nouislider - 14.5.0 - 5/11/2020 */\n",
+       "      var n;n=function(){\"use strict\";var t=\"14.5.0\";function e(t){t.parentElement.removeChild(t)}function r(t){return null!=t}function n(t){t.preventDefault()}function i(t){return\"number\"==typeof t&&!isNaN(t)&&isFinite(t)}function o(t,e,r){r>0&&(u(t,e),setTimeout((function(){c(t,e)}),r))}function s(t){return Math.max(Math.min(t,100),0)}function a(t){return Array.isArray(t)?t:[t]}function l(t){var e=(t=String(t)).split(\".\");return e.length>1?e[1].length:0}function u(t,e){t.classList&&!/\\s/.test(e)?t.classList.add(e):t.className+=\" \"+e}function c(t,e){t.classList&&!/\\s/.test(e)?t.classList.remove(e):t.className=t.className.replace(new RegExp(\"(^|\\\\b)\"+e.split(\" \").join(\"|\")+\"(\\\\b|$)\",\"gi\"),\" \")}function p(t){var e=void 0!==window.pageXOffset,r=\"CSS1Compat\"===(t.compatMode||\"\");return{x:e?window.pageXOffset:r?t.documentElement.scrollLeft:t.body.scrollLeft,y:e?window.pageYOffset:r?t.documentElement.scrollTop:t.body.scrollTop}}function f(t,e){return 100/(e-t)}function d(t,e,r){return 100*e/(t[r+1]-t[r])}function h(t,e){for(var r=1;t>=e[r];)r+=1;return r}function m(t,e,r){if(r>=t.slice(-1)[0])return 100;var n=h(r,t),i=t[n-1],o=t[n],s=e[n-1],a=e[n];return s+function(t,e){return d(t,t[0]<0?e+Math.abs(t[0]):e-t[0],0)}([i,o],r)/f(s,a)}function g(t,e,r,n){if(100===n)return n;var i=h(n,t),o=t[i-1],s=t[i];return r?n-o>(s-o)/2?s:o:e[i-1]?t[i-1]+function(t,e){return Math.round(t/e)*e}(n-t[i-1],e[i-1]):n}function v(t,e,r){var n;if(\"number\"==typeof e&&(e=[e]),!Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'range' contains invalid value.\");if(!i(n=\"min\"===t?0:\"max\"===t?100:parseFloat(t))||!i(e[0]))throw new Error(\"noUiSlider (14.5.0): 'range' value isn't numeric.\");r.xPct.push(n),r.xVal.push(e[0]),n?r.xSteps.push(!isNaN(e[1])&&e[1]):isNaN(e[1])||(r.xSteps[0]=e[1]),r.xHighestCompleteStep.push(0)}function x(t,e,r){if(e)if(r.xVal[t]!==r.xVal[t+1]){r.xSteps[t]=d([r.xVal[t],r.xVal[t+1]],e,0)/f(r.xPct[t],r.xPct[t+1]);var n=(r.xVal[t+1]-r.xVal[t])/r.xNumSteps[t],i=Math.ceil(Number(n.toFixed(3))-1),o=r.xVal[t]+r.xNumSteps[t]*i;r.xHighestCompleteStep[t]=o}else r.xSteps[t]=r.xHighestCompleteStep[t]=r.xVal[t]}function b(t,e,r){var n;this.xPct=[],this.xVal=[],this.xSteps=[r||!1],this.xNumSteps=[!1],this.xHighestCompleteStep=[],this.snap=e;var i=[];for(n in t)t.hasOwnProperty(n)&&i.push([t[n],n]);for(i.length&&\"object\"==typeof i[0][0]?i.sort((function(t,e){return t[0][0]-e[0][0]})):i.sort((function(t,e){return t[0]-e[0]})),n=0;n<i.length;n++)v(i[n][1],i[n][0],this);for(this.xNumSteps=this.xSteps.slice(0),n=0;n<this.xNumSteps.length;n++)x(n,this.xNumSteps[n],this)}b.prototype.getDistance=function(t){var e,r=[];for(e=0;e<this.xNumSteps.length-1;e++){var n=this.xNumSteps[e];if(n&&t/n%1!=0)throw new Error(\"noUiSlider (14.5.0): 'limit', 'margin' and 'padding' of \"+this.xPct[e]+\"% range must be divisible by step.\");r[e]=d(this.xVal,t,e)}return r},b.prototype.getAbsoluteDistance=function(t,e,r){var n,i=0;if(t<this.xPct[this.xPct.length-1])for(;t>this.xPct[i+1];)i++;else t===this.xPct[this.xPct.length-1]&&(i=this.xPct.length-2);r||t!==this.xPct[i+1]||i++;var o=1,s=e[i],a=0,l=0,u=0,c=0;for(n=r?(t-this.xPct[i])/(this.xPct[i+1]-this.xPct[i]):(this.xPct[i+1]-t)/(this.xPct[i+1]-this.xPct[i]);s>0;)a=this.xPct[i+1+c]-this.xPct[i+c],e[i+c]*o+100-100*n>100?(l=a*n,o=(s-100*n)/e[i+c],n=1):(l=e[i+c]*a/100*o,o=0),r?(u-=l,this.xPct.length+c>=1&&c--):(u+=l,this.xPct.length-c>=1&&c++),s=e[i+c]*o;return t+u},b.prototype.toStepping=function(t){return t=m(this.xVal,this.xPct,t)},b.prototype.fromStepping=function(t){return function(t,e,r){if(r>=100)return t.slice(-1)[0];var n=h(r,e),i=t[n-1],o=t[n],s=e[n-1];return function(t,e){return e*(t[1]-t[0])/100+t[0]}([i,o],(r-s)*f(s,e[n]))}(this.xVal,this.xPct,t)},b.prototype.getStep=function(t){return t=g(this.xPct,this.xSteps,this.snap,t)},b.prototype.getDefaultStep=function(t,e,r){var n=h(t,this.xPct);return(100===t||e&&t===this.xPct[n-1])&&(n=Math.max(n-1,1)),(this.xVal[n]-this.xVal[n-1])/r},b.prototype.getNearbySteps=function(t){var e=h(t,this.xPct);return{stepBefore:{startValue:this.xVal[e-2],step:this.xNumSteps[e-2],highestStep:this.xHighestCompleteStep[e-2]},thisStep:{startValue:this.xVal[e-1],step:this.xNumSteps[e-1],highestStep:this.xHighestCompleteStep[e-1]},stepAfter:{startValue:this.xVal[e],step:this.xNumSteps[e],highestStep:this.xHighestCompleteStep[e]}}},b.prototype.countStepDecimals=function(){var t=this.xNumSteps.map(l);return Math.max.apply(null,t)},b.prototype.convert=function(t){return this.getStep(this.toStepping(t))};var S={to:function(t){return void 0!==t&&t.toFixed(2)},from:Number},w={target:\"target\",base:\"base\",origin:\"origin\",handle:\"handle\",handleLower:\"handle-lower\",handleUpper:\"handle-upper\",touchArea:\"touch-area\",horizontal:\"horizontal\",vertical:\"vertical\",background:\"background\",connect:\"connect\",connects:\"connects\",ltr:\"ltr\",rtl:\"rtl\",textDirectionLtr:\"txt-dir-ltr\",textDirectionRtl:\"txt-dir-rtl\",draggable:\"draggable\",drag:\"state-drag\",tap:\"state-tap\",active:\"active\",tooltip:\"tooltip\",pips:\"pips\",pipsHorizontal:\"pips-horizontal\",pipsVertical:\"pips-vertical\",marker:\"marker\",markerHorizontal:\"marker-horizontal\",markerVertical:\"marker-vertical\",markerNormal:\"marker-normal\",markerLarge:\"marker-large\",markerSub:\"marker-sub\",value:\"value\",valueHorizontal:\"value-horizontal\",valueVertical:\"value-vertical\",valueNormal:\"value-normal\",valueLarge:\"value-large\",valueSub:\"value-sub\"};function y(t){if(function(t){return\"object\"==typeof t&&\"function\"==typeof t.to&&\"function\"==typeof t.from}(t))return!0;throw new Error(\"noUiSlider (14.5.0): 'format' requires 'to' and 'from' methods.\")}function E(t,e){if(!i(e))throw new Error(\"noUiSlider (14.5.0): 'step' is not numeric.\");t.singleStep=e}function C(t,e){if(\"object\"!=typeof e||Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'range' is not an object.\");if(void 0===e.min||void 0===e.max)throw new Error(\"noUiSlider (14.5.0): Missing 'min' or 'max' in 'range'.\");if(e.min===e.max)throw new Error(\"noUiSlider (14.5.0): 'range' 'min' and 'max' cannot be equal.\");t.spectrum=new b(e,t.snap,t.singleStep)}function N(t,e){if(e=a(e),!Array.isArray(e)||!e.length)throw new Error(\"noUiSlider (14.5.0): 'start' option is incorrect.\");t.handles=e.length,t.start=e}function P(t,e){if(t.snap=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'snap' option must be a boolean.\")}function U(t,e){if(t.animate=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'animate' option must be a boolean.\")}function A(t,e){if(t.animationDuration=e,\"number\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'animationDuration' option must be a number.\")}function V(t,e){var r,n=[!1];if(\"lower\"===e?e=[!0,!1]:\"upper\"===e&&(e=[!1,!0]),!0===e||!1===e){for(r=1;r<t.handles;r++)n.push(e);n.push(!1)}else{if(!Array.isArray(e)||!e.length||e.length!==t.handles+1)throw new Error(\"noUiSlider (14.5.0): 'connect' option doesn't match handle count.\");n=e}t.connect=n}function k(t,e){switch(e){case\"horizontal\":t.ort=0;break;case\"vertical\":t.ort=1;break;default:throw new Error(\"noUiSlider (14.5.0): 'orientation' option is invalid.\")}}function D(t,e){if(!i(e))throw new Error(\"noUiSlider (14.5.0): 'margin' option must be numeric.\");0!==e&&(t.margin=t.spectrum.getDistance(e))}function M(t,e){if(!i(e))throw new Error(\"noUiSlider (14.5.0): 'limit' option must be numeric.\");if(t.limit=t.spectrum.getDistance(e),!t.limit||t.handles<2)throw new Error(\"noUiSlider (14.5.0): 'limit' option is only supported on linear sliders with 2 or more handles.\")}function O(t,e){var r;if(!i(e)&&!Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'padding' option must be numeric or array of exactly 2 numbers.\");if(Array.isArray(e)&&2!==e.length&&!i(e[0])&&!i(e[1]))throw new Error(\"noUiSlider (14.5.0): 'padding' option must be numeric or array of exactly 2 numbers.\");if(0!==e){for(Array.isArray(e)||(e=[e,e]),t.padding=[t.spectrum.getDistance(e[0]),t.spectrum.getDistance(e[1])],r=0;r<t.spectrum.xNumSteps.length-1;r++)if(t.padding[0][r]<0||t.padding[1][r]<0)throw new Error(\"noUiSlider (14.5.0): 'padding' option must be a positive number(s).\");var n=e[0]+e[1],o=t.spectrum.xVal[0];if(n/(t.spectrum.xVal[t.spectrum.xVal.length-1]-o)>1)throw new Error(\"noUiSlider (14.5.0): 'padding' option must not exceed 100% of the range.\")}}function L(t,e){switch(e){case\"ltr\":t.dir=0;break;case\"rtl\":t.dir=1;break;default:throw new Error(\"noUiSlider (14.5.0): 'direction' 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t.to))throw new Error(\"noUiSlider (14.5.0): 'tooltips' must be passed a formatter or 'false'.\")}))}}function j(t,e){t.ariaFormat=e,y(e)}function F(t,e){t.format=e,y(e)}function R(t,e){if(t.keyboardSupport=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'keyboardSupport' option must be a boolean.\")}function T(t,e){t.documentElement=e}function B(t,e){if(\"string\"!=typeof e&&!1!==e)throw new Error(\"noUiSlider (14.5.0): 'cssPrefix' must be a string or `false`.\");t.cssPrefix=e}function q(t,e){if(\"object\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'cssClasses' must be an object.\");if(\"string\"==typeof t.cssPrefix)for(var r in t.cssClasses={},e)e.hasOwnProperty(r)&&(t.cssClasses[r]=t.cssPrefix+e[r]);else t.cssClasses=e}function X(t){var 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+       "      414: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default=\"\\n.bk-root {\\n  /*! nouislider - 14.5.0 - 5/11/2020 */\\n  /* Functional styling;\\n * These styles are required for noUiSlider to function.\\n * You don't need to change these rules to apply your design.\\n */\\n  /* Wrapper for all connect elements.\\n */\\n  /* Offset direction\\n */\\n  /* Give origins 0 height/width so they don't interfere with clicking the\\n * connect elements.\\n */\\n  /* Slider size and handle placement;\\n */\\n  /* Styling;\\n * Giving the connect element a border radius causes issues with using transform: scale\\n */\\n  /* Handles and cursors;\\n */\\n  /* Handle stripes;\\n */\\n  /* Disabled state;\\n */\\n  /* Base;\\n *\\n */\\n  /* Values;\\n *\\n */\\n  /* Markings;\\n *\\n */\\n  /* Horizontal layout;\\n *\\n */\\n  /* Vertical layout;\\n *\\n */\\n}\\n.bk-root .noUi-target,\\n.bk-root .noUi-target * {\\n  -webkit-touch-callout: none;\\n  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);\\n  -webkit-user-select: none;\\n  -ms-touch-action: none;\\n  touch-action: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  user-select: none;\\n  -moz-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.bk-root .noUi-target {\\n  position: relative;\\n}\\n.bk-root .noUi-base,\\n.bk-root .noUi-connects {\\n  width: 100%;\\n  height: 100%;\\n  position: relative;\\n  z-index: 1;\\n}\\n.bk-root .noUi-connects {\\n  overflow: hidden;\\n  z-index: 0;\\n}\\n.bk-root .noUi-connect,\\n.bk-root .noUi-origin {\\n  will-change: transform;\\n  position: absolute;\\n  z-index: 1;\\n  top: 0;\\n  right: 0;\\n  -ms-transform-origin: 0 0;\\n  -webkit-transform-origin: 0 0;\\n  -webkit-transform-style: preserve-3d;\\n  transform-origin: 0 0;\\n  transform-style: flat;\\n}\\n.bk-root .noUi-connect {\\n  height: 100%;\\n  width: 100%;\\n}\\n.bk-root .noUi-origin {\\n  height: 10%;\\n  width: 10%;\\n}\\n.bk-root .noUi-txt-dir-rtl.noUi-horizontal .noUi-origin {\\n  left: 0;\\n  right: auto;\\n}\\n.bk-root .noUi-vertical .noUi-origin {\\n  width: 0;\\n}\\n.bk-root .noUi-horizontal .noUi-origin {\\n  height: 0;\\n}\\n.bk-root .noUi-handle {\\n  -webkit-backface-visibility: hidden;\\n  backface-visibility: hidden;\\n  position: absolute;\\n}\\n.bk-root .noUi-touch-area {\\n  height: 100%;\\n  width: 100%;\\n}\\n.bk-root .noUi-state-tap .noUi-connect,\\n.bk-root .noUi-state-tap .noUi-origin {\\n  -webkit-transition: transform 0.3s;\\n  transition: transform 0.3s;\\n}\\n.bk-root .noUi-state-drag * {\\n  cursor: inherit !important;\\n}\\n.bk-root .noUi-horizontal {\\n  height: 18px;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n  width: 34px;\\n  height: 28px;\\n  right: -17px;\\n  top: -6px;\\n}\\n.bk-root .noUi-vertical {\\n  width: 18px;\\n}\\n.bk-root .noUi-vertical .noUi-handle {\\n  width: 28px;\\n  height: 34px;\\n  right: -6px;\\n  top: -17px;\\n}\\n.bk-root .noUi-txt-dir-rtl.noUi-horizontal .noUi-handle {\\n  left: -17px;\\n  right: auto;\\n}\\n.bk-root .noUi-target {\\n  background: #FAFAFA;\\n  border-radius: 4px;\\n  border: 1px solid #D3D3D3;\\n  box-shadow: inset 0 1px 1px #F0F0F0, 0 3px 6px -5px #BBB;\\n}\\n.bk-root .noUi-connects {\\n  border-radius: 3px;\\n}\\n.bk-root .noUi-connect {\\n  background: #3FB8AF;\\n}\\n.bk-root .noUi-draggable {\\n  cursor: ew-resize;\\n}\\n.bk-root .noUi-vertical .noUi-draggable {\\n  cursor: ns-resize;\\n}\\n.bk-root .noUi-handle {\\n  border: 1px solid #D9D9D9;\\n  border-radius: 3px;\\n  background: #FFF;\\n  cursor: default;\\n  box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #EBEBEB, 0 3px 6px -3px #BBB;\\n}\\n.bk-root .noUi-active {\\n  box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #DDD, 0 3px 6px -3px #BBB;\\n}\\n.bk-root .noUi-handle:before,\\n.bk-root .noUi-handle:after {\\n  content: \\\"\\\";\\n  display: block;\\n  position: absolute;\\n  height: 14px;\\n  width: 1px;\\n  background: #E8E7E6;\\n  left: 14px;\\n  top: 6px;\\n}\\n.bk-root .noUi-handle:after {\\n  left: 17px;\\n}\\n.bk-root .noUi-vertical .noUi-handle:before,\\n.bk-root .noUi-vertical .noUi-handle:after {\\n  width: 14px;\\n  height: 1px;\\n  left: 6px;\\n  top: 14px;\\n}\\n.bk-root .noUi-vertical .noUi-handle:after {\\n  top: 17px;\\n}\\n.bk-root [disabled] .noUi-connect {\\n  background: #B8B8B8;\\n}\\n.bk-root [disabled].noUi-target,\\n.bk-root [disabled].noUi-handle,\\n.bk-root [disabled] .noUi-handle {\\n  cursor: not-allowed;\\n}\\n.bk-root .noUi-pips,\\n.bk-root .noUi-pips * {\\n  -moz-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.bk-root .noUi-pips {\\n  position: absolute;\\n  color: #999;\\n}\\n.bk-root .noUi-value {\\n  position: absolute;\\n  white-space: nowrap;\\n  text-align: center;\\n}\\n.bk-root .noUi-value-sub {\\n  color: #ccc;\\n  font-size: 10px;\\n}\\n.bk-root .noUi-marker {\\n  position: absolute;\\n  background: #CCC;\\n}\\n.bk-root .noUi-marker-sub {\\n  background: #AAA;\\n}\\n.bk-root .noUi-marker-large {\\n  background: #AAA;\\n}\\n.bk-root .noUi-pips-horizontal {\\n  padding: 10px 0;\\n  height: 80px;\\n  top: 100%;\\n  left: 0;\\n  width: 100%;\\n}\\n.bk-root .noUi-value-horizontal {\\n  -webkit-transform: translate(-50%, 50%);\\n  transform: translate(-50%, 50%);\\n}\\n.bk-root .noUi-rtl .noUi-value-horizontal {\\n  -webkit-transform: translate(50%, 50%);\\n  transform: translate(50%, 50%);\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker {\\n  margin-left: -1px;\\n  width: 2px;\\n  height: 5px;\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker-sub {\\n  height: 10px;\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker-large {\\n  height: 15px;\\n}\\n.bk-root .noUi-pips-vertical {\\n  padding: 0 10px;\\n  height: 100%;\\n  top: 0;\\n  left: 100%;\\n}\\n.bk-root .noUi-value-vertical {\\n  -webkit-transform: translate(0, -50%);\\n  transform: translate(0, -50%);\\n  padding-left: 25px;\\n}\\n.bk-root .noUi-rtl .noUi-value-vertical {\\n  -webkit-transform: translate(0, 50%);\\n  transform: translate(0, 50%);\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker {\\n  width: 5px;\\n  height: 2px;\\n  margin-top: -1px;\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker-sub {\\n  width: 10px;\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker-large {\\n  width: 15px;\\n}\\n.bk-root .noUi-tooltip {\\n  display: block;\\n  position: absolute;\\n  border: 1px solid #D9D9D9;\\n  border-radius: 3px;\\n  background: #fff;\\n  color: #000;\\n  padding: 5px;\\n  text-align: center;\\n  white-space: nowrap;\\n}\\n.bk-root .noUi-horizontal .noUi-tooltip {\\n  -webkit-transform: translate(-50%, 0);\\n  transform: translate(-50%, 0);\\n  left: 50%;\\n  bottom: 120%;\\n}\\n.bk-root .noUi-vertical .noUi-tooltip {\\n  -webkit-transform: translate(0, -50%);\\n  transform: translate(0, -50%);\\n  top: 50%;\\n  right: 120%;\\n}\\n.bk-root .noUi-horizontal .noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(50%, 0);\\n  transform: translate(50%, 0);\\n  left: auto;\\n  bottom: 10px;\\n}\\n.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(0, -18px);\\n  transform: translate(0, -18px);\\n  top: auto;\\n  right: 28px;\\n}\\n.bk-root .noUi-handle {\\n  cursor: grab;\\n  cursor: -webkit-grab;\\n}\\n.bk-root .noUi-handle.noUi-active {\\n  cursor: grabbing;\\n  cursor: -webkit-grabbing;\\n}\\n.bk-root .noUi-handle:after,\\n.bk-root .noUi-handle:before {\\n  display: none;\\n}\\n.bk-root .noUi-tooltip {\\n  display: none;\\n  white-space: nowrap;\\n}\\n.bk-root .noUi-handle:hover .noUi-tooltip {\\n  display: block;\\n}\\n.bk-root .noUi-horizontal {\\n  width: 100%;\\n  height: 10px;\\n}\\n.bk-root .noUi-vertical {\\n  width: 10px;\\n  height: 100%;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n  width: 14px;\\n  height: 18px;\\n  right: -7px;\\n  top: -5px;\\n}\\n.bk-root .noUi-vertical .noUi-handle {\\n  width: 18px;\\n  height: 14px;\\n  right: -5px;\\n  top: -7px;\\n}\\n.bk-root .noUi-target.noUi-horizontal {\\n  margin: 5px 0px;\\n}\\n.bk-root .noUi-target.noUi-vertical {\\n  margin: 0px 5px;\\n}\\n\"},\n",
+       "      415: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default=\"\\n.bk-root .bk-slider-title {\\n  white-space: nowrap;\\n}\\n.bk-root .bk-slider-value {\\n  font-weight: 600;\\n}\\n\"},\n",
+       "      416: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1).__importDefault(e(159)),a=e(411);class d extends a.AbstractSliderView{}i.DateSliderView=d,d.__name__=\"DateSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_DateSlider(){this.prototype.default_view=d,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return r.default(e,t)}}i.DateSlider=s,s.__name__=\"DateSlider\",s.init_DateSlider()},\n",
+       "      417: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),_=e(418),n=r.__importStar(e(18));class s extends _.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.model.text}}i.DivView=s,s.__name__=\"DivView\";class a extends _.Markup{constructor(e){super(e)}static init_Div(){this.prototype.default_view=s,this.define({render_as_text:[n.Boolean,!1]})}}i.Div=a,a.__name__=\"Div\",a.init_Div()},\n",
+       "      418: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(193),n=e(68),l=i.__importStar(e(18)),r=e(458),_=e(419),c=i.__importDefault(e(420));class u extends r.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>{this.layout.invalidate_cache(),this.render(),this.root.compute_layout()})}styles(){return[...super.styles(),c.default]}_update_layout(){this.layout=new a.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=n.div({class:_.bk_clearfix,style:e}),this.el.appendChild(this.markup_el)}}s.MarkupView=u,u.__name__=\"MarkupView\";class o extends r.Widget{constructor(e){super(e)}static init_Markup(){this.define({text:[l.String,\"\"],style:[l.Any,{}]})}}s.Markup=o,o.__name__=\"Markup\",o.init_Markup()},\n",
+       "      419: function _(e,c,f){Object.defineProperty(f,\"__esModule\",{value:!0}),f.bk_clearfix=\"bk-clearfix\"},\n",
+       "      420: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-clearfix:before,\\n.bk-root .bk-clearfix:after {\\n  content: \"\";\\n  display: table;\\n}\\n.bk-root .bk-clearfix:after {\\n  clear: both;\\n}\\n'},\n",
+       "      421: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(392),o=e(291),_=e(68),d=n.__importStar(e(18)),l=e(8),r=e(146),u=e(254),c=e(255),h=n.__importDefault(e(257));class p extends s.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=_.div({class:[c.bk_caret,r.bk_down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(u.bk_dropdown_toggle),t.addEventListener(\"click\",()=>this._toggle_menu()),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map((e,t)=>{if(null==e)return _.div({class:c.bk_divider});{const i=l.isString(e)?e:e[0],n=_.div({},i);return n.addEventListener(\"click\",()=>this._item_click(t)),n}});this.menu=_.div({class:[c.bk_menu,r.bk_below]},t),this.el.appendChild(this.menu),_.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,_.display(this.menu);const e=t=>{const{target:i}=t;i instanceof HTMLElement&&!this.el.contains(i)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,_.undisplay(this.menu))}_toggle_menu(){this._open?this._hide_menu():this._show_menu()}click(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new o.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=l.isString(t)?t:t[1];l.isString(i)?this.model.trigger_event(new o.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=p,p.__name__=\"DropdownView\";class m extends s.AbstractButton{constructor(e){super(e)}static init_Dropdown(){this.prototype.default_view=p,this.define({split:[d.Boolean,!1],menu:[d.Array,[]]}),this.override({label:\"Dropdown\"})}get is_split(){return this.split}}i.Dropdown=m,m.__name__=\"Dropdown\",m.init_Dropdown()},\n",
+       "      422: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1).__importStar(e(18)),s=e(458);class n extends s.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.width.change,()=>this.render())}render(){null==this.dialogEl&&(this.dialogEl=document.createElement(\"input\"),this.dialogEl.type=\"file\",this.dialogEl.multiple=this.model.multiple,this.dialogEl.onchange=()=>{const{files:e}=this.dialogEl;null!=e&&this.load_files(e)},this.el.appendChild(this.dialogEl)),null!=this.model.accept&&\"\"!=this.model.accept&&(this.dialogEl.accept=this.model.accept),this.dialogEl.style.width=\"{this.model.width}px\",this.dialogEl.disabled=this.model.disabled}async load_files(e){const t=[],i=[],l=[];let s;for(s=0;s<e.length;s++){i.push(e[s].name);const n=await this.readfile(e[s]),[,o,,a]=n.split(/[:;,]/,4);t.push(a),l.push(o)}this.model.multiple?(this.model.filename=i,this.model.mime_type=l,this.model.value=t):(this.model.filename=i[0],this.model.mime_type=l[0],this.model.value=t[0])}readfile(e){return new Promise((t,i)=>{const l=new FileReader;l.onload=()=>{var s;const{result:n}=l;null!=n?t(n):i(null!==(s=l.error)&&void 0!==s?s:new Error(`unable to read '${e.name}'`))},l.readAsDataURL(e)})}}i.FileInputView=n,n.__name__=\"FileInputView\";class o extends s.Widget{constructor(e){super(e)}static init_FileInput(){this.prototype.default_view=n,this.define({value:[l.Any,\"\"],mime_type:[l.Any,\"\"],filename:[l.Any,\"\"],accept:[l.String,\"\"],multiple:[l.Boolean,!1]})}}i.FileInput=o,o.__name__=\"FileInput\",o.init_FileInput()},\n",
+       "      423: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(68),l=e(8),o=i.__importStar(e(18)),c=e(398),r=e(400);class h extends c.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render()),this.connect(this.model.properties.size.change,()=>this.render()),this.connect(this.model.properties.disabled.change,()=>this.render())}render(){super.render();const e=this.model.options.map(e=>{let t,s;return l.isString(e)?t=s=e:[t,s]=e,n.option({value:t},s)});this.select_el=n.select({multiple:!0,class:r.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.select_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.select_el),this.render_selection()}render_selection(){const e=new Set(this.model.value);for(const t of this.el.querySelectorAll(\"option\"))t.selected=e.has(t.value);this.select_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}s.MultiSelectView=h,h.__name__=\"MultiSelectView\";class d extends c.InputWidget{constructor(e){super(e)}static init_MultiSelect(){this.prototype.default_view=h,this.define({value:[o.Array,[]],options:[o.Array,[]],size:[o.Number,4]})}}s.MultiSelect=d,d.__name__=\"MultiSelect\",d.init_MultiSelect()},\n",
+       "      424: function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=a(418),p=a(68);class s extends t.MarkupView{render(){super.render();const a=p.p({style:{margin:0}},this.model.text);this.markup_el.appendChild(a)}}r.ParagraphView=s,s.__name__=\"ParagraphView\";class i extends t.Markup{constructor(a){super(a)}static init_Paragraph(){this.prototype.default_view=s}}r.Paragraph=i,i.__name__=\"Paragraph\",i.init_Paragraph()},\n",
+       "      425: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(397);class r extends n.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}s.PasswordInputView=r,r.__name__=\"PasswordInputView\";class p extends n.TextInput{constructor(e){super(e)}static init_PasswordInput(){this.prototype.default_view=r}}s.PasswordInput=p,p.__name__=\"PasswordInput\",p.init_PasswordInput()},\n",
+       "      426: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=s.__importDefault(e(427)),o=e(68),n=e(8),h=s.__importStar(e(18)),r=e(400),c=s.__importDefault(e(428)),d=e(398);class a extends d.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.disabled.change,()=>this.set_disabled()),this.connect(this.model.properties.max_items.change,()=>this.render()),this.connect(this.model.properties.option_limit.change,()=>this.render()),this.connect(this.model.properties.delete_button.change,()=>this.render()),this.connect(this.model.properties.placeholder.change,()=>this.render()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render())}styles(){return[...super.styles(),c.default]}render(){super.render();const e=this.model.options.map(e=>{let t,i;return n.isString(e)?t=i=e:[t,i]=e,o.option({value:t},i)});this.select_el=o.select({multiple:!0,class:r.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.group_el.appendChild(this.select_el),this.render_selection();let t=\"choices__item\",i=\"choices__button\";this.model.solid?(t+=\" solid\",i+=\" solid\"):(t+=\" light\",i+=\" light\");const s={removeItemButton:this.model.delete_button,classNames:{item:t,button:i}};null!==this.model.placeholder&&(s.placeholderValue=this.model.placeholder),null!==this.model.max_items&&(s.maxItemCount=this.model.max_items),null!==this.model.option_limit&&(s.renderChoiceLimit=this.model.option_limit),this.choice_el=new l.default(this.select_el,s),this.select_el.addEventListener(\"change\",()=>this.change_input())}render_selection(){const e=new Set(this.model.value);for(const t of Array.from(this.el.querySelectorAll(\"option\")))t.selected=e.has(t.value)}set_disabled(){this.model.disabled?this.choice_el.disable():this.choice_el.enable()}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of Array.from(this.el.querySelectorAll(\"option\")))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}i.MultiChoiceView=a,a.__name__=\"MultiChoiceView\";class u extends d.InputWidget{constructor(e){super(e)}static init_MultiChoice(){this.prototype.default_view=a,this.define({value:[h.Array,[]],options:[h.Array,[]],max_items:[h.Number,null],delete_button:[h.Boolean,!0],placeholder:[h.String,null],option_limit:[h.Number,null],solid:[h.Boolean,!0]})}}i.MultiChoice=u,u.__name__=\"MultiChoice\",u.init_MultiChoice()},\n",
+       "      427: function _(e,t,i){\n",
+       "      /*! choices.js v9.0.1 | © 2019 Josh Johnson | https://github.com/jshjohnson/Choices#readme */\n",
+       "      var n,s;n=window,s=function(){return function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"/public/assets/scripts/\",i(i.s=4)}([function(e,t,i){\"use strict\";var n=function(e){return function(e){return!!e&&\"object\"==typeof e}(e)&&!function(e){var t=Object.prototype.toString.call(e);return\"[object RegExp]\"===t||\"[object Date]\"===t||function(e){return e.$$typeof===s}(e)}(e)},s=\"function\"==typeof Symbol&&Symbol.for?Symbol.for(\"react.element\"):60103;function r(e,t){return!1!==t.clone&&t.isMergeableObject(e)?l((i=e,Array.isArray(i)?[]:{}),e,t):e;var i}function o(e,t,i){return e.concat(t).map((function(e){return r(e,i)}))}function a(e){return Object.keys(e).concat(function(e){return Object.getOwnPropertySymbols?Object.getOwnPropertySymbols(e).filter((function(t){return e.propertyIsEnumerable(t)})):[]}(e))}function c(e,t,i){var n={};return i.isMergeableObject(e)&&a(e).forEach((function(t){n[t]=r(e[t],i)})),a(t).forEach((function(s){(function(e,t){try{return t in e&&!(Object.hasOwnProperty.call(e,t)&&Object.propertyIsEnumerable.call(e,t))}catch(e){return!1}})(e,s)||(i.isMergeableObject(t[s])&&e[s]?n[s]=function(e,t){if(!t.customMerge)return l;var i=t.customMerge(e);return\"function\"==typeof i?i:l}(s,i)(e[s],t[s],i):n[s]=r(t[s],i))})),n}function l(e,t,i){(i=i||{}).arrayMerge=i.arrayMerge||o,i.isMergeableObject=i.isMergeableObject||n,i.cloneUnlessOtherwiseSpecified=r;var s=Array.isArray(t);return s===Array.isArray(e)?s?i.arrayMerge(e,t,i):c(e,t,i):r(t,i)}l.all=function(e,t){if(!Array.isArray(e))throw new Error(\"first argument should be an array\");return e.reduce((function(e,i){return l(e,i,t)}),{})};var h=l;e.exports=h},function(e,t,i){\"use strict\";(function(e,n){var s,r=i(3);s=\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:void 0!==e?e:n;var o=Object(r.a)(s);t.a=o}).call(this,i(5),i(6)(e))},function(e,t,i){\n",
+       "      /*!\n",
+       "                       * Fuse.js v3.4.5 - Lightweight fuzzy-search (http://fusejs.io)\n",
+       "                       *\n",
+       "                       * Copyright (c) 2012-2017 Kirollos Risk (http://kiro.me)\n",
+       "                       * All Rights Reserved. Apache Software License 2.0\n",
+       "                       *\n",
+       "                       * http://www.apache.org/licenses/LICENSE-2.0\n",
+       "                       */\n",
+       "      e.exports=function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return 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a.dataset.type=r,t&&(a.dir=t),n&&(a.tabIndex=0),i&&(a.setAttribute(\"role\",s?\"combobox\":\"listbox\"),s&&a.setAttribute(\"aria-autocomplete\",\"list\")),a.setAttribute(\"aria-haspopup\",\"true\"),a.setAttribute(\"aria-expanded\",\"false\"),a},containerInner:function(e){var t=e.containerInner;return Object.assign(document.createElement(\"div\"),{className:t})},itemList:function(e,t){var i=e.list,n=e.listSingle,s=e.listItems;return Object.assign(document.createElement(\"div\"),{className:i+\" \"+(t?n:s)})},placeholder:function(e,t){var i=e.placeholder;return Object.assign(document.createElement(\"div\"),{className:i,innerHTML:t})},item:function(e,t,i){var n=e.item,s=e.button,r=e.highlightedState,o=e.itemSelectable,a=e.placeholder,c=t.id,l=t.value,h=t.label,u=t.customProperties,d=t.active,p=t.disabled,m=t.highlighted,f=t.placeholder,v=Object.assign(document.createElement(\"div\"),{className:n,innerHTML:h});if(Object.assign(v.dataset,{item:\"\",id:c,value:l,customProperties:u}),d&&v.setAttribute(\"aria-selected\",\"true\"),p&&v.setAttribute(\"aria-disabled\",\"true\"),f&&v.classList.add(a),v.classList.add(m?r:o),i){p&&v.classList.remove(o),v.dataset.deletable=\"\";var g=Object.assign(document.createElement(\"button\"),{type:\"button\",className:s,innerHTML:\"Remove item\"});g.setAttribute(\"aria-label\",\"Remove item: '\"+l+\"'\"),g.dataset.button=\"\",v.appendChild(g)}return v},choiceList:function(e,t){var i=e.list,n=Object.assign(document.createElement(\"div\"),{className:i});return t||n.setAttribute(\"aria-multiselectable\",\"true\"),n.setAttribute(\"role\",\"listbox\"),n},choiceGroup:function(e,t){var i=e.group,n=e.groupHeading,s=e.itemDisabled,r=t.id,o=t.value,a=t.disabled,c=Object.assign(document.createElement(\"div\"),{className:i+\" \"+(a?s:\"\")});return c.setAttribute(\"role\",\"group\"),Object.assign(c.dataset,{group:\"\",id:r,value:o}),a&&c.setAttribute(\"aria-disabled\",\"true\"),c.appendChild(Object.assign(document.createElement(\"div\"),{className:n,innerHTML:o})),c},choice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.itemSelectable,o=e.selectedState,a=e.itemDisabled,c=e.placeholder,l=t.id,h=t.value,u=t.label,d=t.groupId,p=t.elementId,m=t.disabled,f=t.selected,v=t.placeholder,g=Object.assign(document.createElement(\"div\"),{id:p,innerHTML:u,className:n+\" \"+s});return f&&g.classList.add(o),v&&g.classList.add(c),g.setAttribute(\"role\",d>0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},ve=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ge=function(e,t){return{type:$,id:e,highlighted:t}},_e=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},be=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function ye(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var Ee=\"-ms-scroll-limit\"in document.documentElement.style&&\"-ms-ime-align\"in document.documentElement.style,Ie={},Se=function(){var e,t,i;function n(e,t){var i=this;void 0===e&&(e=\"[data-choice]\"),void 0===t&&(t={}),this.config=o.a.all([P,n.defaults.options,t],{arrayMerge:function(e,t){return[].concat(t)}});var s,r,a,c,l=(s=this.config,r=P,a=Object.keys(s).sort(),c=Object.keys(r).sort(),a.filter((function(e){return c.indexOf(e)<0})));l.length&&console.warn(\"Unknown config option(s) passed\",l.join(\", \"));var h=\"string\"==typeof e?document.querySelector(e):e;if(!(h instanceof HTMLInputElement||h instanceof HTMLSelectElement))throw TypeError(\"Expected one of the following types text|select-one|select-multiple\");if(this._isTextElement=\"text\"===h.type,this._isSelectOneElement=\"select-one\"===h.type,this._isSelectMultipleElement=\"select-multiple\"===h.type,this._isSelectElement=this._isSelectOneElement||this._isSelectMultipleElement,this.config.searchEnabled=this._isSelectMultipleElement||this.config.searchEnabled,[\"auto\",\"always\"].includes(this.config.renderSelectedChoices)||(this.config.renderSelectedChoices=\"auto\"),t.addItemFilter&&\"function\"!=typeof t.addItemFilter){var u=t.addItemFilter instanceof RegExp?t.addItemFilter:new RegExp(t.addItemFilter);this.config.addItemFilter=u.test.bind(u)}if(this._isTextElement?this.passedElement=new de({element:h,classNames:this.config.classNames,delimiter:this.config.delimiter}):this.passedElement=new me({element:h,classNames:this.config.classNames,template:function(e){return i._templates.option(e)}}),this.initialised=!1,this._store=new T,this._initialState={},this._currentState={},this._prevState={},this._currentValue=\"\",this._canSearch=this.config.searchEnabled,this._isScrollingOnIe=!1,this._highlightPosition=0,this._wasTap=!0,this._placeholderValue=this._generatePlaceholderValue(),this._baseId=function(e,t){var i=e.id||e.name&&e.name+\"-\"+b(2)||b(4);return i=t+\"-\"+(i=i.replace(/(:|\\.|\\[|\\]|,)/g,\"\"))}(this.passedElement.element,\"choices-\"),this._direction=this.passedElement.dir,!this._direction){var d=window.getComputedStyle(this.passedElement.element).direction;d!==window.getComputedStyle(document.documentElement).direction&&(this._direction=d)}if(this._idNames={itemChoice:\"item-choice\"},this._presetGroups=this.passedElement.optionGroups,this._presetOptions=this.passedElement.options,this._presetChoices=this.config.choices,this._presetItems=this.config.items,this.passedElement.value&&(this._presetItems=this._presetItems.concat(this.passedElement.value.split(this.config.delimiter))),this.passedElement.options&&this.passedElement.options.forEach((function(e){i._presetChoices.push({value:e.value,label:e.innerHTML,selected:e.selected,disabled:e.disabled||e.parentNode.disabled,placeholder:\"\"===e.value||e.hasAttribute(\"placeholder\"),customProperties:e.getAttribute(\"data-custom-properties\")})})),this._render=this._render.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this),this._onKeyUp=this._onKeyUp.bind(this),this._onKeyDown=this._onKeyDown.bind(this),this._onClick=this._onClick.bind(this),this._onTouchMove=this._onTouchMove.bind(this),this._onTouchEnd=this._onTouchEnd.bind(this),this._onMouseDown=this._onMouseDown.bind(this),this._onMouseOver=this._onMouseOver.bind(this),this._onFormReset=this._onFormReset.bind(this),this._onAKey=this._onAKey.bind(this),this._onEnterKey=this._onEnterKey.bind(this),this._onEscapeKey=this._onEscapeKey.bind(this),this._onDirectionKey=this._onDirectionKey.bind(this),this._onDeleteKey=this._onDeleteKey.bind(this),this.passedElement.isActive)return this.config.silent||console.warn(\"Trying to initialise Choices on element already initialised\"),void(this.initialised=!0);this.init()}e=n,i=[{key:\"defaults\",get:function(){return Object.preventExtensions({get options(){return Ie},get templates(){return fe}})}}],(t=null)&&ye(e.prototype,t),i&&ye(e,i);var r=n.prototype;return r.init=function(){if(!this.initialised){this._createTemplates(),this._createElements(),this._createStructure(),this._initialState=O(this._store.state),this._store.subscribe(this._render),this._render(),this._addEventListeners(),(!this.config.addItems||this.passedElement.element.hasAttribute(\"disabled\"))&&this.disable(),this.initialised=!0;var e=this.config.callbackOnInit;e&&\"function\"==typeof e&&e.call(this)}},r.destroy=function(){this.initialised&&(this._removeEventListeners(),this.passedElement.reveal(),this.containerOuter.unwrap(this.passedElement.element),this.clearStore(),this._isSelectElement&&(this.passedElement.options=this._presetOptions),this._templates=null,this.initialised=!1)},r.enable=function(){return this.passedElement.isDisabled&&this.passedElement.enable(),this.containerOuter.isDisabled&&(this._addEventListeners(),this.input.enable(),this.containerOuter.enable()),this},r.disable=function(){return this.passedElement.isDisabled||this.passedElement.disable(),this.containerOuter.isDisabled||(this._removeEventListeners(),this.input.disable(),this.containerOuter.disable()),this},r.highlightItem=function(e,t){if(void 0===t&&(t=!0),!e)return this;var i=e.id,n=e.groupId,s=void 0===n?-1:n,r=e.value,o=void 0===r?\"\":r,a=e.label,c=void 0===a?\"\":a,l=s>=0?this._store.getGroupById(s):null;return this._store.dispatch(ge(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ge(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(ve(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v<m;v+=1)f[v]&&l(f[v]);return t},r._createItemsFragment=function(e,t){var i=this;void 0===t&&(t=document.createDocumentFragment());var n=this.config,s=n.shouldSortItems,r=n.sorter,o=n.removeItemButton;return s&&!this._isSelectOneElement&&e.sort(r),this._isTextElement?this.passedElement.value=e:this.passedElement.options=e,e.forEach((function(e){var n=i._getTemplate(\"item\",e,o);t.appendChild(n)})),t},r._triggerChange=function(e){null!=e&&this.passedElement.triggerEvent(N,{value:e})},r._selectPlaceholderChoice=function(){var e=this._store.placeholderChoice;e&&(this._addItem({value:e.value,label:e.label,choiceId:e.id,groupId:e.groupId,placeholder:e.placeholder}),this._triggerChange(e.value))},r._handleButtonAction=function(e,t){if(e&&t&&this.config.removeItems&&this.config.removeItemButton){var i=t.parentNode.getAttribute(\"data-id\"),n=e.find((function(e){return e.id===parseInt(i,10)}));this._removeItem(n),this._triggerChange(n.value),this._isSelectOneElement&&this._selectPlaceholderChoice()}},r._handleItemAction=function(e,t,i){var n=this;if(void 0===i&&(i=!1),e&&t&&this.config.removeItems&&!this._isSelectOneElement){var s=t.getAttribute(\"data-id\");e.forEach((function(e){e.id!==parseInt(s,10)||e.highlighted?!i&&e.highlighted&&n.unhighlightItem(e):n.highlightItem(e)})),this.input.focus()}},r._handleChoiceAction=function(e,t){if(e&&t){var i=t.dataset.id,n=this._store.getChoiceById(i);if(n){var s=e[0]&&e[0].keyCode?e[0].keyCode:null,r=this.dropdown.isActive;n.keyCode=s,this.passedElement.triggerEvent(F,{choice:n}),n.selected||n.disabled||this._canAddItem(e,n.value).response&&(this._addItem({value:n.value,label:n.label,choiceId:n.id,groupId:n.groupId,customProperties:n.customProperties,placeholder:n.placeholder,keyCode:n.keyCode}),this._triggerChange(n.value)),this.clearInput(),r&&this._isSelectOneElement&&(this.hideDropdown(!0),this.containerOuter.focus())}}},r._handleBackspace=function(e){if(this.config.removeItems&&e){var t=e[e.length-1],i=e.some((function(e){return e.highlighted}));this.config.editItems&&!i&&t?(this.input.value=t.value,this.input.setWidth(),this._removeItem(t),this._triggerChange(t.value)):(i||this.highlightItem(t,!1),this.removeHighlightedItems(!0))}},r._startLoading=function(){this._store.dispatch(be(!0))},r._stopLoading=function(){this._store.dispatch(be(!1))},r._handleLoadingState=function(e){void 0===e&&(e=!0);var t=this.itemList.getChild(\".\"+this.config.classNames.placeholder);e?(this.disable(),this.containerOuter.addLoadingState(),this._isSelectOneElement?t?t.innerHTML=this.config.loadingText:(t=this._getTemplate(\"placeholder\",this.config.loadingText),this.itemList.append(t)):this.input.placeholder=this.config.loadingText):(this.enable(),this.containerOuter.removeLoadingState(),this._isSelectOneElement?t.innerHTML=this._placeholderValue||\"\":this.input.placeholder=this._placeholderValue||\"\")},r._handleSearch=function(e){if(e&&this.input.isFocussed){var t=this._store.choices,i=this.config,n=i.searchFloor,s=i.searchChoices,r=t.some((function(e){return!e.active}));if(e&&e.length>=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(ve(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(ve(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1;if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(\"[data-choice-selectable]\");else{var p=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=p?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(p,\"[data-choice-selectable]\",d):this.dropdown.element.querySelector(\"[data-choice-selectable]\")}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(Ee&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX<i.offsetLeft;this._isScrollingOnIe=n}if(t!==this.input.element){var s=t.closest(\"[data-button],[data-item],[data-choice]\");if(s instanceof HTMLElement){var r=e.shiftKey,o=this._store.activeItems,a=s.dataset;\"button\"in a?this._handleButtonAction(o,s):\"item\"in a?this._handleItemAction(o,s,r):\"choice\"in a&&this._handleChoiceAction(o,s)}e.preventDefault()}}},r._onMouseOver=function(e){var t=e.target;t instanceof HTMLElement&&\"choice\"in t.dataset&&this._highlightChoice(t)},r._onClick=function(e){var t=e.target;this.containerOuter.element.contains(t)?this.dropdown.isActive||this.containerOuter.isDisabled?this._isSelectOneElement&&t!==this.input.element&&!this.dropdown.element.contains(t)&&this.hideDropdown():this._isTextElement?document.activeElement!==this.input.element&&this.input.focus():(this.showDropdown(),this.containerOuter.focus()):(this._store.highlightedActiveItems.length>0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(_e({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(_e({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r<n;r++)s[r-1]=arguments[r];return(t=this._templates[e]).call.apply(t,[this,i].concat(s))},r._createTemplates=function(){var e=this.config.callbackOnCreateTemplates,t={};e&&\"function\"==typeof e&&(t=e.call(this,S)),this._templates=o()(fe,t)},r._createElements=function(){this.containerOuter=new re({element:this._getTemplate(\"containerOuter\",this._direction,this._isSelectElement,this._isSelectOneElement,this.config.searchEnabled,this.passedElement.element.type),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.containerInner=new re({element:this._getTemplate(\"containerInner\"),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.input=new ae({element:this._getTemplate(\"input\",this._placeholderValue),classNames:this.config.classNames,type:this.passedElement.element.type,preventPaste:!this.config.paste}),this.choiceList=new ce({element:this._getTemplate(\"choiceList\",this._isSelectOneElement)}),this.itemList=new ce({element:this._getTemplate(\"itemList\",this._isSelectOneElement)}),this.dropdown=new k({element:this._getTemplate(\"dropdown\"),classNames:this.config.classNames,type:this.passedElement.element.type})},r._createStructure=function(){this.passedElement.conceal(),this.containerInner.wrap(this.passedElement.element),this.containerOuter.wrap(this.containerInner.element),this._isSelectOneElement?this.input.placeholder=this.config.searchPlaceholderValue||\"\":this._placeholderValue&&(this.input.placeholder=this._placeholderValue,this.input.setWidth()),this.containerOuter.element.appendChild(this.containerInner.element),this.containerOuter.element.appendChild(this.dropdown.element),this.containerInner.element.appendChild(this.itemList.element),this._isTextElement||this.dropdown.element.appendChild(this.choiceList.element),this._isSelectOneElement?this.config.searchEnabled&&this.dropdown.element.insertBefore(this.input.element,this.dropdown.element.firstChild):this.containerInner.element.appendChild(this.input.element),this._isSelectElement&&(this._highlightPosition=0,this._isSearching=!1,this._startLoading(),this._presetGroups.length?this._addPredefinedGroups(this._presetGroups):this._addPredefinedChoices(this._presetChoices),this._stopLoading()),this._isTextElement&&this._addPredefinedItems(this._presetItems)},r._addPredefinedGroups=function(e){var t=this,i=this.passedElement.placeholderOption;i&&\"SELECT\"===i.parentNode.tagName&&this._addChoice({value:i.value,label:i.innerHTML,isSelected:i.selected,isDisabled:i.disabled,placeholder:!0}),e.forEach((function(e){return t._addGroup({group:e,id:e.id||null})}))},r._addPredefinedChoices=function(e){var t=this;this.config.shouldSort&&e.sort(this.config.sorter);var i=e.some((function(e){return e.selected})),n=e.findIndex((function(e){return void 0===e.disabled||!e.disabled}));e.forEach((function(e,s){var r=e.value,o=e.label,a=e.customProperties,c=e.placeholder;if(t._isSelectElement)if(e.choices)t._addGroup({group:e,id:e.id||null});else{var l=!(!t._isSelectOneElement||i||s!==n)||e.selected,h=e.disabled;t._addChoice({value:r,label:o,isSelected:l,isDisabled:h,customProperties:a,placeholder:c})}else t._addChoice({value:r,label:o,isSelected:e.selected,isDisabled:e.disabled,customProperties:a,placeholder:c})}))},r._addPredefinedItems=function(e){var t=this;e.forEach((function(e){\"object\"==typeof e&&e.value&&t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}),\"string\"==typeof e&&t._addItem({value:e})}))},r._setChoiceOrItem=function(e){var t=this;({object:function(){e.value&&(t._isTextElement?t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}):t._addChoice({value:e.value,label:e.label,isSelected:!0,isDisabled:!1,customProperties:e.customProperties,placeholder:e.placeholder}))},string:function(){t._isTextElement?t._addItem({value:e}):t._addChoice({value:e,label:e,isSelected:!0,isDisabled:!1})}})[y(e).toLowerCase()]()},r._findAndSelectChoiceByValue=function(e){var t=this,i=this._store.choices.find((function(i){return t.config.valueComparer(i.value,e)}));i&&!i.selected&&this._addItem({value:i.value,label:i.label,choiceId:i.id,groupId:i.groupId,customProperties:i.customProperties,placeholder:i.placeholder,keyCode:i.keyCode})},r._generatePlaceholderValue=function(){if(this._isSelectElement){var e=this.passedElement.placeholderOption;return!!e&&e.text}var t=this.config,i=t.placeholder,n=t.placeholderValue,s=this.passedElement.element.dataset;if(i){if(n)return n;if(s.placeholder)return s.placeholder}return!1},n}();t.default=Se}]).default},\"object\"==typeof i&&\"object\"==typeof t?t.exports=s():\"function\"==typeof define&&define.amd?define([],s):\"object\"==typeof i?i.Choices=s():n.Choices=s()},\n",
+       "      428: function _(n,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});e.default=\"\\n.bk-root {\\n  /*===============================\\n=            Choices            =\\n===============================*/\\n  /*=====  End of Choices  ======*/\\n}\\n.bk-root .choices {\\n  position: relative;\\n  margin-bottom: 24px;\\n  font-size: 16px;\\n}\\n.bk-root .choices:focus {\\n  outline: none;\\n}\\n.bk-root .choices:last-child {\\n  margin-bottom: 0;\\n}\\n.bk-root .choices.is-disabled .choices__inner,\\n.bk-root .choices.is-disabled .choices__input {\\n  background-color: #eaeaea;\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n}\\n.bk-root .choices.is-disabled .choices__item {\\n  cursor: not-allowed;\\n}\\n.bk-root .choices [hidden] {\\n  display: none !important;\\n}\\n.bk-root .choices[data-type*='select-one'] {\\n  cursor: pointer;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__inner {\\n  padding-bottom: 7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__input {\\n  display: block;\\n  width: 100%;\\n  padding: 10px;\\n  border-bottom: 1px solid #dddddd;\\n  background-color: #ffffff;\\n  margin: 0;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDAwIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  padding: 0;\\n  background-size: 8px;\\n  position: absolute;\\n  top: 50%;\\n  right: 0;\\n  margin-top: -10px;\\n  margin-right: 25px;\\n  height: 20px;\\n  width: 20px;\\n  border-radius: 10em;\\n  opacity: 0.5;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  box-shadow: 0px 0px 0px 2px #00bcd4;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__item[data-value=''] .choices__button {\\n  display: none;\\n}\\n.bk-root .choices[data-type*='select-one']:after {\\n  content: '';\\n  height: 0;\\n  width: 0;\\n  border-style: solid;\\n  border-color: #333333 transparent transparent transparent;\\n  border-width: 5px;\\n  position: absolute;\\n  right: 11.5px;\\n  top: 50%;\\n  margin-top: -2.5px;\\n  pointer-events: none;\\n}\\n.bk-root .choices[data-type*='select-one'].is-open:after {\\n  border-color: transparent transparent #333333 transparent;\\n  margin-top: -7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl']:after {\\n  left: 11.5px;\\n  right: auto;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl'] .choices__button {\\n  right: auto;\\n  left: 0;\\n  margin-left: 25px;\\n  margin-right: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__inner,\\n.bk-root .choices[data-type*='text'] .choices__inner {\\n  cursor: text;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button,\\n.bk-root .choices[data-type*='text'] .choices__button {\\n  position: relative;\\n  display: inline-block;\\n  margin-top: 0;\\n  margin-right: -4px;\\n  margin-bottom: 0;\\n  margin-left: 8px;\\n  padding-left: 16px;\\n  border-left: 1px solid #008fa1;\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjRkZGIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  background-size: 8px;\\n  width: 8px;\\n  line-height: 1;\\n  opacity: 0.75;\\n  border-radius: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:focus,\\n.bk-root .choices[data-type*='text'] .choices__button:hover,\\n.bk-root .choices[data-type*='text'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices__inner {\\n  display: inline-block;\\n  vertical-align: top;\\n  width: 100%;\\n  background-color: #f9f9f9;\\n  padding: 7.5px 7.5px 3.75px;\\n  border: 1px solid #dddddd;\\n  border-radius: 2.5px;\\n  font-size: 14px;\\n  min-height: 44px;\\n  overflow: hidden;\\n}\\n.bk-root .is-focused .choices__inner,\\n.bk-root .is-open .choices__inner {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-open .choices__inner {\\n  border-radius: 2.5px 2.5px 0 0;\\n}\\n.bk-root .is-flipped.is-open .choices__inner {\\n  border-radius: 0 0 2.5px 2.5px;\\n}\\n.bk-root .choices__list {\\n  margin: 0;\\n  padding-left: 0;\\n  list-style: none;\\n}\\n.bk-root .choices__list--single {\\n  display: inline-block;\\n  padding: 4px 16px 4px 4px;\\n  width: 100%;\\n}\\n.bk-root [dir='rtl'] .choices__list--single {\\n  padding-right: 4px;\\n  padding-left: 16px;\\n}\\n.bk-root .choices__list--single .choices__item {\\n  width: 100%;\\n}\\n.bk-root .choices__list--multiple {\\n  display: inline;\\n}\\n.bk-root .choices__list--multiple .choices__item {\\n  display: inline-block;\\n  vertical-align: middle;\\n  border-radius: 20px;\\n  padding: 4px 10px;\\n  font-size: 12px;\\n  font-weight: 500;\\n  margin-right: 3.75px;\\n  margin-bottom: 3.75px;\\n  background-color: #00bcd4;\\n  border: 1px solid #00a5bb;\\n  color: #ffffff;\\n  word-break: break-all;\\n  box-sizing: border-box;\\n}\\n.bk-root .choices__list--multiple .choices__item[data-deletable] {\\n  padding-right: 5px;\\n}\\n.bk-root [dir='rtl'] .choices__list--multiple .choices__item {\\n  margin-right: 0;\\n  margin-left: 3.75px;\\n}\\n.bk-root .choices__list--multiple .choices__item.is-highlighted {\\n  background-color: #00a5bb;\\n  border: 1px solid #008fa1;\\n}\\n.bk-root .is-disabled .choices__list--multiple .choices__item {\\n  background-color: #aaaaaa;\\n  border: 1px solid #919191;\\n}\\n.bk-root .choices__list--dropdown {\\n  visibility: hidden;\\n  z-index: 1;\\n  position: absolute;\\n  width: 100%;\\n  background-color: #ffffff;\\n  border: 1px solid #dddddd;\\n  top: 100%;\\n  margin-top: -1px;\\n  border-bottom-left-radius: 2.5px;\\n  border-bottom-right-radius: 2.5px;\\n  overflow: hidden;\\n  word-break: break-all;\\n  will-change: visibility;\\n}\\n.bk-root .choices__list--dropdown.is-active {\\n  visibility: visible;\\n}\\n.bk-root .is-open .choices__list--dropdown {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-flipped .choices__list--dropdown {\\n  top: auto;\\n  bottom: 100%;\\n  margin-top: 0;\\n  margin-bottom: -1px;\\n  border-radius: 0.25rem 0.25rem 0 0;\\n}\\n.bk-root .choices__list--dropdown .choices__list {\\n  position: relative;\\n  max-height: 300px;\\n  overflow: auto;\\n  -webkit-overflow-scrolling: touch;\\n  will-change: scroll-position;\\n}\\n.bk-root .choices__list--dropdown .choices__item {\\n  position: relative;\\n  padding: 10px;\\n  font-size: 14px;\\n}\\n.bk-root [dir='rtl'] .choices__list--dropdown .choices__item {\\n  text-align: right;\\n}\\n@media (min-width: 640px) {\\n  .bk-root .choices__list--dropdown .choices__item--selectable {\\n    padding-right: 100px;\\n  }\\n  .bk-root .choices__list--dropdown .choices__item--selectable:after {\\n    content: attr(data-select-text);\\n    font-size: 12px;\\n    opacity: 0;\\n    position: absolute;\\n    right: 10px;\\n    top: 50%;\\n    transform: translateY(-50%);\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable {\\n    text-align: right;\\n    padding-left: 100px;\\n    padding-right: 10px;\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable:after {\\n    right: auto;\\n    left: 10px;\\n  }\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted:after {\\n  opacity: 0.5;\\n}\\n.bk-root .choices__item {\\n  cursor: default;\\n}\\n.bk-root .choices__item--selectable {\\n  cursor: pointer;\\n}\\n.bk-root .choices__item--disabled {\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  opacity: 0.5;\\n}\\n.bk-root .choices__heading {\\n  font-weight: 600;\\n  font-size: 12px;\\n  padding: 10px;\\n  border-bottom: 1px solid #f7f7f7;\\n  color: gray;\\n}\\n.bk-root .choices__button {\\n  text-indent: -9999px;\\n  -webkit-appearance: none;\\n  -moz-appearance: none;\\n  appearance: none;\\n  border: 0;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center;\\n  cursor: pointer;\\n}\\n.bk-root .choices__button:focus {\\n  outline: none;\\n}\\n.bk-root .choices__input {\\n  display: inline-block;\\n  vertical-align: baseline;\\n  background-color: #f9f9f9;\\n  font-size: 14px;\\n  margin-bottom: 5px;\\n  border: 0;\\n  border-radius: 0;\\n  max-width: 100%;\\n  padding: 4px 0 4px 2px;\\n}\\n.bk-root .choices__input:focus {\\n  outline: 0;\\n}\\n.bk-root [dir='rtl'] .choices__input {\\n  padding-right: 2px;\\n  padding-left: 0;\\n}\\n.bk-root .choices__placeholder {\\n  opacity: 0.5;\\n}\\n.bk-root .choices {\\n  width: 100%;\\n}\\n.bk-root .choices__inner .choices__item.light {\\n  background-color: rgba(0, 126, 255, 0.08);\\n  border-radius: 5px;\\n  border: 1px solid rgba(0, 126, 255, 0.24);\\n  color: #007eff;\\n}\\n.bk-root .choices__inner .choices__item.solid {\\n  background-color: #1f77b4;\\n  border: none;\\n  border-radius: 5px;\\n  color: white;\\n}\\n.bk-root .choices__inner .choices__item.solid .is-highlighted {\\n  background-color: #1f77b4;\\n  border: none;\\n}\\n.bk-root .choices__input {\\n  background-color: transparent;\\n}\\n.bk-root .choices__inner {\\n  background: transparent;\\n  border: 1px solid darkgray;\\n  border-radius: 5px;\\n  min-height: unset;\\n}\\n.bk-root .choices__list {\\n  white-space: initial;\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.light {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDA3ZWZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.solid {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjZmZmZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  border-left: 1px solid white;\\n  opacity: 1;\\n}\\n\"},\n",
+       "      429: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=e(418),i=e(68);class n extends s.MarkupView{render(){super.render();const e=i.pre({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=n,n.__name__=\"PreTextView\";class _ extends s.Markup{constructor(e){super(e)}static init_PreText(){this.prototype.default_view=n}}r.PreText=_,_.__name__=\"PreText\",_.init_PreText()},\n",
+       "      430: function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(403),n=t(68),u=i.__importStar(t(18)),s=t(146);class _ extends a.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach((o,e)=>{n.classes(o).toggle(s.bk_active,t===e)})}}e.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class c extends a.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define({active:[u.Any,null]})}}e.RadioButtonGroup=c,c.__name__=\"RadioButtonGroup\",c.init_RadioButtonGroup()},\n",
+       "      431: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),a=e(68),s=e(24),o=n.__importStar(e(18)),d=e(405),l=e(146),p=e(400);class r extends d.InputGroupView{render(){super.render();const e=a.div({class:[p.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const i=s.uniqueId(),{active:t,labels:n}=this.model;this._inputs=[];for(let s=0;s<n.length;s++){const o=a.input({type:\"radio\",name:i,value:\"\"+s});o.addEventListener(\"change\",()=>this.change_active(s)),this._inputs.push(o),this.model.disabled&&(o.disabled=!0),s==t&&(o.checked=!0);const d=a.label({},o,a.span({},n[s]));e.appendChild(d)}}change_active(e){this.model.active=e}}t.RadioGroupView=r,r.__name__=\"RadioGroupView\";class u extends d.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=r,this.define({active:[o.Number],labels:[o.Array,[]],inline:[o.Boolean,!1]})}}t.RadioGroup=u,u.__name__=\"RadioGroup\",u.init_RadioGroup()},\n",
+       "      432: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),a=e(411),n=e(8);class o extends a.AbstractRangeSliderView{}r.RangeSliderView=o,o.__name__=\"RangeSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(e,t){return n.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.RangeSlider=s,s.__name__=\"RangeSlider\",s.init_RangeSlider()},\n",
+       "      433: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(68),l=e(8),o=e(17),p=n.__importStar(e(18)),u=e(398),a=e(400);class _ extends u.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,()=>{this._update_value()}),this.on_change(t,()=>{s.empty(this.input_el),s.append(this.input_el,...this.options_el())})}options_el(){function e(e){return e.map(e=>{let t,i;return l.isString(e)?t=i=e:[t,i]=e,s.option({value:t},i)})}const{options:t}=this.model;return l.isArray(t)?e(t):o.entries(t).map(([t,i])=>s.optgroup({label:t},e(i)))}render(){super.render(),this.input_el=s.select({class:a.bk_input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;null!=e&&0!=e.length&&(this.input_el.value=this.model.value)}}i.SelectView=_,_.__name__=\"SelectView\";class h extends u.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=_,this.define({value:[p.String,\"\"],options:[p.Any,[]]})}}i.Select=h,h.__name__=\"Select\",h.init_Select()},\n",
+       "      434: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),o=e(411),s=e(8);class _ extends o.AbstractSliderView{}r.SliderView=_,_.__name__=\"SliderView\";class a extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=_,this.override({format:\"0[.]00\"})}_formatter(e,t){return s.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.Slider=a,a.__name__=\"Slider\",a.init_Slider()},\n",
+       "      435: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),h=n.__importStar(e(18)),o=e(400),{floor:p,max:d,min:u}=Math;function r(e){return p(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.low.change,()=>{const{low:e}=this.model;null!=e&&(this.input_el.min=e.toFixed(16))}),this.connect(this.model.properties.high.change,()=>{const{high:e}=this.model;null!=e&&(this.input_el.max=e.toFixed(16))}),this.connect(this.model.properties.step.change,()=>{const{step:e}=this.model;this.input_el.step=e.toFixed(16)}),this.connect(this.model.properties.value.change,()=>{const{value:e,step:t}=this.model;this.input_el.value=e.toFixed(r(t)).replace(/(\\.[0-9]*[1-9])0+$|\\.0*$/,\"$1\")}),this.connect(this.model.properties.disabled.change,()=>{this.input_el.disabled=this.model.disabled})}render(){super.render(),this.input_el=l.input({type:\"number\",class:o.bk_input,name:this.model.name,min:this.model.low,max:this.model.high,value:this.model.value,step:this.model.step,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){if(this.input_el.value){const{step:e}=this.model;let t=Number(this.input_el.value);null!=this.model.low&&(t=d(t,this.model.low)),null!=this.model.high&&(t=u(t,this.model.high)),this.model.value=Number(t.toFixed(r(e))),super.change_input()}}}i.SpinnerView=a,a.__name__=\"SpinnerView\";class c extends s.InputWidget{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=a,this.define({value:[h.Number,0],low:[h.Number,null],high:[h.Number,null],step:[h.Number,1]})}}i.Spinner=c,c.__name__=\"Spinner\",c.init_Spinner()},\n",
+       "      436: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(398),l=e(68),h=s.__importStar(e(18)),o=e(400);class a extends n.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder),this.connect(this.model.properties.rows.change,()=>this.input_el.rows=this.model.rows),this.connect(this.model.properties.cols.change,()=>this.input_el.cols=this.model.cols),this.connect(this.model.properties.max_length.change,()=>this.input_el.maxLength=this.model.max_length)}render(){super.render(),this.input_el=l.textarea({class:o.bk_input,name:this.model.name,disabled:this.model.disabled,placeholder:this.model.placeholder,cols:this.model.cols,rows:this.model.rows,maxLength:this.model.max_length}),this.input_el.textContent=this.model.value,this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}}i.TextAreaInputView=a,a.__name__=\"TextAreaInputView\";class p extends n.InputWidget{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=a,this.define({value:[h.String,\"\"],value_input:[h.String,\"\"],placeholder:[h.String,\"\"],cols:[h.Number,20],rows:[h.Number,2],max_length:[h.Number,500]})}}i.TextAreaInput=p,p.__name__=\"TextAreaInput\",p.init_TextAreaInput()},\n",
+       "      437: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),c=e(392),o=e(68),a=s.__importStar(e(18)),n=e(146);class l extends c.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._update_active())}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){o.classes(this.button_el).toggle(n.bk_active,this.model.active)}}i.ToggleView=l,l.__name__=\"ToggleView\";class _ extends c.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=l,this.define({active:[a.Boolean,!1]}),this.override({label:\"Toggle\"})}}i.Toggle=_,_.__name__=\"Toggle\",_.init_Toggle()},\n",
+       "      }, 390, {\"models/widgets/main\":390,\"models/widgets/index\":391,\"models/widgets/abstract_button\":392,\"models/widgets/control\":393,\"models/widgets/widget\":458,\"models/widgets/abstract_icon\":395,\"models/widgets/autocomplete_input\":396,\"models/widgets/text_input\":397,\"models/widgets/input_widget\":398,\"styles/widgets/inputs.css\":399,\"styles/widgets/inputs\":400,\"models/widgets/button\":401,\"models/widgets/checkbox_button_group\":402,\"models/widgets/button_group\":403,\"models/widgets/checkbox_group\":404,\"models/widgets/input_group\":405,\"models/widgets/color_picker\":406,\"models/widgets/date_picker\":407,\"styles/widgets/flatpickr.css\":409,\"models/widgets/date_range_slider\":410,\"models/widgets/abstract_slider\":411,\"styles/widgets/sliders\":413,\"styles/widgets/nouislider.css\":414,\"styles/widgets/sliders.css\":415,\"models/widgets/date_slider\":416,\"models/widgets/div\":417,\"models/widgets/markup\":418,\"styles/clearfix\":419,\"styles/clearfix.css\":420,\"models/widgets/dropdown\":421,\"models/widgets/file_input\":422,\"models/widgets/multiselect\":423,\"models/widgets/paragraph\":424,\"models/widgets/password_input\":425,\"models/widgets/multichoice\":426,\"styles/widgets/choices.css\":428,\"models/widgets/pretext\":429,\"models/widgets/radio_button_group\":430,\"models/widgets/radio_group\":431,\"models/widgets/range_slider\":432,\"models/widgets/selectbox\":433,\"models/widgets/slider\":434,\"models/widgets/spinner\":435,\"models/widgets/textarea_input\":436,\"models/widgets/toggle\":437}, {});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END bokeh-widgets.min.js */\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN bokeh-tables.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        factory(root[\"Bokeh\"], \"2.1.1\");\n",
+       "      })(this, function(Bokeh, version) {\n",
+       "        var define;\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
+       "          if (bokeh != null) {\n",
+       "            return bokeh.register_plugin(modules, entry, aliases);\n",
+       "          } else {\n",
+       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
+       "          }\n",
+       "        })\n",
+       "      ({\n",
+       "      438: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(439));o.Tables=r,e(7).register_models(r)},\n",
+       "      439: function _(a,g,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(1);e.__exportStar(a(440),r),e.__exportStar(a(462),r);var t=a(441);r.DataTable=t.DataTable;var o=a(465);r.TableColumn=o.TableColumn;var n=a(457);r.TableWidget=n.TableWidget;var u=a(466);r.AvgAggregator=u.AvgAggregator,r.MinAggregator=u.MinAggregator,r.MaxAggregator=u.MaxAggregator,r.SumAggregator=u.SumAggregator;var l=a(467);r.GroupingInfo=l.GroupingInfo,r.DataCube=l.DataCube},\n",
+       "      440: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1).__importStar(e(18)),r=e(68),a=e(66),n=e(71),l=e(441),u=e(459);class d extends a.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(u.bk_cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",e=>{switch(e.keyCode){case r.Keys.Left:case r.Keys.Right:case r.Keys.Up:case r.Keys.Down:case r.Keys.PageUp:case r.Keys.PageDown:e.stopImmediatePropagation()}})}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[l.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=d,d.__name__=\"CellEditorView\";class o extends n.Model{}i.CellEditor=o,o.__name__=\"CellEditor\";class _ extends d{get emptyValue(){return\"\"}_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=_,_.__name__=\"StringEditorView\";class c extends o{static init_StringEditor(){this.prototype.default_view=_,this.define({completions:[s.Array,[]]})}}i.StringEditor=c,c.__name__=\"StringEditor\",c.init_StringEditor();class p extends d{_createInput(){return r.textarea()}}i.TextEditorView=p,p.__name__=\"TextEditorView\";class h extends o{static init_TextEditor(){this.prototype.default_view=p}}i.TextEditor=h,h.__name__=\"TextEditor\",h.init_TextEditor();class E extends d{_createInput(){return r.select()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild(r.option({value:e},e));this.focus()}}i.SelectEditorView=E,E.__name__=\"SelectEditorView\";class V extends o{static init_SelectEditor(){this.prototype.default_view=E,this.define({options:[s.Array,[]]})}}i.SelectEditor=V,V.__name__=\"SelectEditor\",V.init_SelectEditor();class m extends d{_createInput(){return r.input({type:\"text\"})}}i.PercentEditorView=m,m.__name__=\"PercentEditorView\";class f extends o{static init_PercentEditor(){this.prototype.default_view=m}}i.PercentEditor=f,f.__name__=\"PercentEditor\",f.init_PercentEditor();class x extends d{_createInput(){return r.input({type:\"checkbox\",value:\"true\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=x,x.__name__=\"CheckboxEditorView\";class w extends o{static init_CheckboxEditor(){this.prototype.default_view=x}}i.CheckboxEditor=w,w.__name__=\"CheckboxEditor\",w.init_CheckboxEditor();class g extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseInt(this.getValue(),10)||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=g,g.__name__=\"IntEditorView\";class v extends o{static init_IntEditor(){this.prototype.default_view=g,this.define({step:[s.Number,1]})}}i.IntEditor=v,v.__name__=\"IntEditor\",v.init_IntEditor();class y extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseFloat(this.getValue())||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=y,y.__name__=\"NumberEditorView\";class b extends o{static init_NumberEditor(){this.prototype.default_view=y,this.define({step:[s.Number,.01]})}}i.NumberEditor=b,b.__name__=\"NumberEditor\",b.init_NumberEditor();class I extends d{_createInput(){return r.input({type:\"text\"})}}i.TimeEditorView=I,I.__name__=\"TimeEditorView\";class N extends o{static init_TimeEditor(){this.prototype.default_view=I}}i.TimeEditor=N,N.__name__=\"TimeEditor\",N.init_TimeEditor();class C extends d{_createInput(){return r.input({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=C,C.__name__=\"DateEditorView\";class D extends o{static init_DateEditor(){this.prototype.default_view=C}}i.DateEditor=D,D.__name__=\"DateEditor\",D.init_DateEditor()},\n",
+       "      441: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),o=e(442),n=e(446),l=e(447),r=e(448),d=s.__importStar(e(18)),a=e(24),h=e(8),c=e(9),u=e(17),_=e(72),m=e(188),g=e(457),p=e(458),b=e(459),f=s.__importDefault(e(460)),w=s.__importDefault(e(461));i.DTINDEX_NAME=\"__bkdt_internal_index__\";class x{constructor(e,t){this.init(e,t)}init(e,t){if(i.DTINDEX_NAME in e.data)throw new Error(`special name ${i.DTINDEX_NAME} cannot be used as a data table column`);this.source=e,this.view=t,this.index=this.view.indices}getLength(){return this.index.length}getItem(e){const t={};for(const i of u.keys(this.source.data))t[i]=this.source.data[i][this.index[e]];return t[i.DTINDEX_NAME]=this.index[e],t}getField(e,t){return t==i.DTINDEX_NAME?this.index[e]:this.source.data[t][this.index[e]]}setField(e,t,i){const s=this.index[e];this.source.patch({[t]:[[s,i]]})}getItemMetadata(e){return null}getRecords(){return c.range(0,this.getLength()).map(e=>this.getItem(e))}sort(e){let t=e.map(e=>[e.sortCol.field,e.sortAsc?1:-1]);0==t.length&&(t=[[i.DTINDEX_NAME,1]]);const s=this.getRecords(),o=this.index.slice();this.index.sort((function(e,i){for(const[n,l]of t){const t=s[o.indexOf(e)][n],r=s[o.indexOf(i)][n],d=t==r?0:t>r?l:-l;if(0!=d)return d}return 0}))}}i.TableDataProvider=x,x.__name__=\"TableDataProvider\";class C extends p.WidgetView{constructor(){super(...arguments),this._in_selection_update=!1,this._warned_not_reorderable=!1}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.source.streaming,()=>this.updateGrid()),this.connect(this.model.source.patching,()=>this.updateGrid()),this.connect(this.model.source.change,()=>this.updateGrid()),this.connect(this.model.source.properties.data.change,()=>this.updateGrid()),this.connect(this.model.source.selected.change,()=>this.updateSelection()),this.connect(this.model.source.selected.properties.indices.change,()=>this.updateSelection())}remove(){var e;null===(e=this.grid)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),f.default,w.default]}_update_layout(){this.layout=new m.LayoutItem,this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.grid.resizeCanvas()}updateGrid(){if(this.model.view.compute_indices(),this.data.init(this.model.source,this.model.view),this.model.sortable){const e=this.grid.getColumns(),t=this.grid.getSortColumns().map(t=>({sortCol:{field:e[this.grid.getColumnIndex(t.columnId)].field},sortAsc:t.sortAsc}));this.data.sort(t)}this.grid.invalidate(),this.grid.render()}updateSelection(){if(this._in_selection_update)return;const{selected:e}=this.model.source,t=e.indices.map(e=>this.data.index.indexOf(e)).sort();this._in_selection_update=!0,this.grid.setSelectedRows(t),this._in_selection_update=!1;const i=this.grid.getViewport(),s=this.model.get_scroll_index(i,t);null!=s&&this.grid.scrollRowToTop(s)}newIndexColumn(){return{id:a.uniqueId(),name:this.model.index_header,field:i.DTINDEX_NAME,width:this.model.index_width,behavior:\"select\",cannotTriggerInsert:!0,resizable:!1,selectable:!1,sortable:!0,cssClass:b.bk_cell_index,headerCssClass:b.bk_header_index}}css_classes(){return super.css_classes().concat(b.bk_data_table)}render(){let e,t=this.model.columns.map(e=>Object.assign(Object.assign({},e.toColumn()),{parent:this}));if(\"checkbox\"==this.model.selectable&&(e=new n.CheckboxSelectColumn({cssClass:b.bk_cell_select}),t.unshift(e.getColumnDefinition())),null!=this.model.index_position){const e=this.model.index_position,i=this.newIndexColumn();-1==e?t.push(i):e<-1?t.splice(e+1,0,i):t.splice(e,0,i)}let{reorderable:i}=this.model;!i||\"undefined\"!=typeof $&&null!=$.fn&&null!=$.fn.sortable||(this._warned_not_reorderable||(_.logger.warn(\"jquery-ui is required to enable DataTable.reorderable\"),this._warned_not_reorderable=!0),i=!1);const s={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:i,forceFitColumns:this.model.fit_columns,multiColumnSort:this.model.sortable,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height};if(this.data=new x(this.model.source,this.model.view),this.grid=new r.Grid(this.el,this.data,t,s),this.grid.onSort.subscribe((e,i)=>{this.model.sortable&&(t=i.sortCols,this.data.sort(t),this.grid.invalidate(),this.updateSelection(),this.grid.render(),this.model.header_row||this._hide_header(),this.model.update_sort_columns(t))}),!1!==this.model.selectable){this.grid.setSelectionModel(new o.RowSelectionModel({selectActiveRow:null==e})),null!=e&&this.grid.registerPlugin(e);const t={dataItemColumnValueExtractor(e,t){let i=e[t.field];return h.isString(i)&&(i=i.replace(/\\n/g,\"\\\\n\")),i},includeHeaderWhenCopying:!1};this.grid.registerPlugin(new l.CellExternalCopyManager(t)),this.grid.onSelectedRowsChanged.subscribe((e,t)=>{this._in_selection_update||(this.model.source.selected.indices=t.rows.map(e=>this.data.index[e]))}),this.updateSelection(),this.model.header_row||this._hide_header()}}_hide_header(){for(const e of Array.from(this.el.querySelectorAll(\".slick-header-columns\")))e.style.height=\"0px\";this.grid.resizeCanvas()}}i.DataTableView=C,C.__name__=\"DataTableView\";class D extends g.TableWidget{constructor(e){super(e),this._sort_columns=[]}get sort_columns(){return this._sort_columns}static init_DataTable(){this.prototype.default_view=C,this.define({columns:[d.Array,[]],fit_columns:[d.Boolean,!0],sortable:[d.Boolean,!0],reorderable:[d.Boolean,!0],editable:[d.Boolean,!1],selectable:[d.Any,!0],index_position:[d.Int,0],index_header:[d.String,\"#\"],index_width:[d.Int,40],scroll_to_selection:[d.Boolean,!0],header_row:[d.Boolean,!0],row_height:[d.Int,25]}),this.override({width:600,height:400})}update_sort_columns(e){return this._sort_columns=e.map(e=>({field:e.sortCol.field,sortAsc:e.sortAsc})),null}get_scroll_index(e,t){return this.scroll_to_selection&&0!=t.length?c.some(t,t=>e.top<=t&&t<=e.bottom)?null:Math.max(0,Math.min(...t)-1):null}}i.DataTable=D,D.__name__=\"DataTable\",D.init_DataTable()},\n",
+       "      442: function _(e,t,n){var o=e(443),r=e(445);t.exports={RowSelectionModel:function(e){var t,n,l,i=[],c=this,u=new r.EventHandler,s={selectActiveRow:!0};function a(e){return function(){n||(n=!0,e.apply(this,arguments),n=!1)}}function f(e){for(var t=[],n=0;n<e.length;n++)for(var o=e[n].fromRow;o<=e[n].toRow;o++)t.push(o);return t}function h(e){for(var n=[],o=t.getColumns().length-1,l=0;l<e.length;l++)n.push(new r.Range(e[l],0,e[l],o));return n}function w(){return f(i)}function g(e){(i&&0!==i.length||e&&0!==e.length)&&(i=e,c.onSelectedRangesChanged.notify(i))}function v(e,n){l.selectActiveRow&&null!=n.row&&g([new r.Range(n.row,0,n.row,t.getColumns().length-1)])}function p(e){var n=t.getActiveCell();if(t.getOptions().multiSelect&&n&&e.shiftKey&&!e.ctrlKey&&!e.altKey&&!e.metaKey&&(e.which==r.keyCode.UP||e.which==r.keyCode.DOWN)){var o=w();o.sort((function(e,t){return e-t})),o.length||(o=[n.row]);var l,i=o[0],c=o[o.length-1];if((l=e.which==r.keyCode.DOWN?n.row<c||i==c?++c:++i:n.row<c?--c:--i)>=0&&l<t.getDataLength())t.scrollRowIntoView(l),g(h(function(e,t){var n,o=[];for(n=e;n<=t;n++)o.push(n);for(n=t;n<e;n++)o.push(n);return o}(i,c)));e.preventDefault(),e.stopPropagation()}}function y(e){var n=t.getCellFromEvent(e);if(!n||!t.canCellBeActive(n.row,n.cell))return!1;if(!t.getOptions().multiSelect||!e.ctrlKey&&!e.shiftKey&&!e.metaKey)return!1;var r=f(i),l=o.inArray(n.row,r);if(-1===l&&(e.ctrlKey||e.metaKey))r.push(n.row),t.setActiveCell(n.row,n.cell);else if(-1!==l&&(e.ctrlKey||e.metaKey))r=o.grep(r,(function(e,t){return e!==n.row})),t.setActiveCell(n.row,n.cell);else if(r.length&&e.shiftKey){var c=r.pop(),u=Math.min(n.row,c),s=Math.max(n.row,c);r=[];for(var a=u;a<=s;a++)a!==c&&r.push(a);r.push(c),t.setActiveCell(n.row,n.cell)}return g(h(r)),e.stopImmediatePropagation(),!0}o.extend(this,{getSelectedRows:w,setSelectedRows:function(e){g(h(e))},getSelectedRanges:function(){return i},setSelectedRanges:g,init:function(n){l=o.extend(!0,{},s,e),t=n,u.subscribe(t.onActiveCellChanged,a(v)),u.subscribe(t.onKeyDown,a(p)),u.subscribe(t.onClick,a(y))},destroy:function(){u.unsubscribeAll()},onSelectedRangesChanged:new r.Event})}}},\n",
+       "      443: function _(e,n,f){n.exports=\"undefined\"!=typeof $?$:e(444)},\n",
+       "      444: function _(e,t,n){\n",
+       "      /*!\n",
+       "           * jQuery JavaScript Library v3.5.0\n",
+       "           * https://jquery.com/\n",
+       "           *\n",
+       "           * Includes Sizzle.js\n",
+       "           * https://sizzlejs.com/\n",
+       "           *\n",
+       "           * Copyright JS Foundation and other contributors\n",
+       "           * Released under the MIT license\n",
+       "           * https://jquery.org/license\n",
+       "           *\n",
+       "           * Date: 2020-04-10T15:07Z\n",
+       "           */\n",
+       "      !function(e,n){\"use strict\";\"object\"==typeof t&&\"object\"==typeof t.exports?t.exports=e.document?n(e,!0):function(e){if(!e.document)throw new Error(\"jQuery requires a window with a document\");return n(e)}:n(e)}(\"undefined\"!=typeof window?window:this,(function(e,t){\"use strict\";var n=[],r=Object.getPrototypeOf,i=n.slice,o=n.flat?function(e){return n.flat.call(e)}:function(e){return n.concat.apply([],e)},a=n.push,s=n.indexOf,u={},l=u.toString,c=u.hasOwnProperty,f=c.toString,p=f.call(Object),d={},h=function(e){return\"function\"==typeof e&&\"number\"!=typeof e.nodeType},g=function(e){return null!=e&&e===e.window},v=e.document,y={type:!0,src:!0,nonce:!0,noModule:!0};function m(e,t,n){var r,i,o=(n=n||v).createElement(\"script\");if(o.text=e,t)for(r in y)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function x(e){return null==e?e+\"\":\"object\"==typeof e||\"function\"==typeof e?u[l.call(e)]||\"object\":typeof e}var b=function(e,t){return new b.fn.init(e,t)};function w(e){var t=!!e&&\"length\"in e&&e.length,n=x(e);return!h(e)&&!g(e)&&(\"array\"===n||0===t||\"number\"==typeof t&&t>0&&t-1 in e)}b.fn=b.prototype={jquery:\"3.5.0\",constructor:b,length:0,toArray:function(){return i.call(this)},get:function(e){return null==e?i.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=b.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return b.each(this,e)},map:function(e){return this.pushStack(b.map(this,(function(t,n){return e.call(t,n,t)})))},slice:function(){return this.pushStack(i.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(b.grep(this,(function(e,t){return(t+1)%2})))},odd:function(){return this.pushStack(b.grep(this,(function(e,t){return t%2})))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(n>=0&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:a,sort:n.sort,splice:n.splice},b.extend=b.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for(\"boolean\"==typeof a&&(l=a,a=arguments[s]||{},s++),\"object\"==typeof a||h(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],\"__proto__\"!==t&&a!==r&&(l&&r&&(b.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||b.isPlainObject(n)?n:{},i=!1,a[t]=b.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},b.extend({expando:\"jQuery\"+(\"3.5.0\"+Math.random()).replace(/\\D/g,\"\"),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||\"[object Object]\"!==l.call(e))&&(!(t=r(e))||\"function\"==typeof(n=c.call(t,\"constructor\")&&t.constructor)&&f.call(n)===p)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){m(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(w(e))for(n=e.length;r<n&&!1!==t.call(e[r],r,e[r]);r++);else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(w(Object(e))?b.merge(n,\"string\"==typeof e?[e]:e):a.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:s.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,a=0,s=[];if(w(e))for(r=e.length;a<r;a++)null!=(i=t(e[a],a,n))&&s.push(i);else for(a in e)null!=(i=t(e[a],a,n))&&s.push(i);return o(s)},guid:1,support:d}),\"function\"==typeof Symbol&&(b.fn[Symbol.iterator]=n[Symbol.iterator]),b.each(\"Boolean Number String Function Array Date RegExp Object Error Symbol\".split(\" \"),(function(e,t){u[\"[object \"+t+\"]\"]=t.toLowerCase()}));var T=\n",
+       "      /*!\n",
+       "               * Sizzle CSS Selector Engine v2.3.5\n",
+       "               * https://sizzlejs.com/\n",
+       "               *\n",
+       "               * Copyright JS Foundation and other contributors\n",
+       "               * Released under the MIT license\n",
+       "               * https://js.foundation/\n",
+       "               *\n",
+       "               * Date: 2020-03-14\n",
+       "               */\n",
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+       "      445: function _(t,i,n){function o(){var t=!1,i=!1;this.stopPropagation=function(){t=!0},this.isPropagationStopped=function(){return t},this.stopImmediatePropagation=function(){i=!0},this.isImmediatePropagationStopped=function(){return i}}function e(){this.__nonDataRow=!0}function r(){this.__group=!0,this.level=0,this.count=0,this.value=null,this.title=null,this.collapsed=!1,this.selectChecked=!1,this.totals=null,this.rows=[],this.groups=null,this.groupingKey=null}function s(){this.__groupTotals=!0,this.group=null,this.initialized=!1}function l(){var t=null;this.isActive=function(i){return i?t===i:null!==t},this.activate=function(i){if(i!==t){if(null!==t)throw new Error(\"SlickGrid.EditorLock.activate: an editController is still active, can't activate another editController\");if(!i.commitCurrentEdit)throw new Error(\"SlickGrid.EditorLock.activate: editController must implement .commitCurrentEdit()\");if(!i.cancelCurrentEdit)throw new Error(\"SlickGrid.EditorLock.activate: editController must implement .cancelCurrentEdit()\");t=i}},this.deactivate=function(i){if(t!==i)throw new Error(\"SlickGrid.EditorLock.deactivate: specified editController is not the currently active one\");t=null},this.commitCurrentEdit=function(){return!t||t.commitCurrentEdit()},this.cancelCurrentEdit=function(){return!t||t.cancelCurrentEdit()}}r.prototype=new e,r.prototype.equals=function(t){return this.value===t.value&&this.count===t.count&&this.collapsed===t.collapsed&&this.title===t.title},s.prototype=new e,i.exports={Event:function(){var t=[];this.subscribe=function(i){t.push(i)},this.unsubscribe=function(i){for(var n=t.length-1;n>=0;n--)t[n]===i&&t.splice(n,1)},this.notify=function(i,n,e){var r;n=n||new o,e=e||this;for(var s=0;s<t.length&&!n.isPropagationStopped()&&!n.isImmediatePropagationStopped();s++)r=t[s].call(e,n,i);return r}},EventData:o,EventHandler:function(){var t=[];this.subscribe=function(i,n){return t.push({event:i,handler:n}),i.subscribe(n),this},this.unsubscribe=function(i,n){for(var o=t.length;o--;)if(t[o].event===i&&t[o].handler===n)return t.splice(o,1),void i.unsubscribe(n);return this},this.unsubscribeAll=function(){for(var i=t.length;i--;)t[i].event.unsubscribe(t[i].handler);return t=[],this}},Range:function(t,i,n,o){void 0===n&&void 0===o&&(n=t,o=i),this.fromRow=Math.min(t,n),this.fromCell=Math.min(i,o),this.toRow=Math.max(t,n),this.toCell=Math.max(i,o),this.isSingleRow=function(){return this.fromRow==this.toRow},this.isSingleCell=function(){return this.fromRow==this.toRow&&this.fromCell==this.toCell},this.contains=function(t,i){return t>=this.fromRow&&t<=this.toRow&&i>=this.fromCell&&i<=this.toCell},this.toString=function(){return this.isSingleCell()?\"(\"+this.fromRow+\":\"+this.fromCell+\")\":\"(\"+this.fromRow+\":\"+this.fromCell+\" - \"+this.toRow+\":\"+this.toCell+\")\"}},NonDataRow:e,Group:r,GroupTotals:s,EditorLock:l,GlobalEditorLock:new l,keyCode:{BACKSPACE:8,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,ESC:27,HOME:36,INSERT:45,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,RIGHT:39,TAB:9,UP:38,C:67,V:86},preClickClassName:\"slick-edit-preclick\"}},\n",
+       "      446: function _(e,t,o){var l=e(443),c=e(445);t.exports={CheckboxSelectColumn:function(e){var t,o=g(),n=new c.EventHandler,i={},r=!1,d=l.extend(!0,{},{columnId:\"_checkbox_selector\",cssClass:null,hideSelectAllCheckbox:!1,toolTip:\"Select/Deselect All\",width:30,hideInColumnTitleRow:!1,hideInFilterHeaderRow:!0},e);function a(){t.updateColumnHeader(d.columnId,\"\",\"\")}function s(){l(\"#filter-checkbox-selectall-container\").hide()}function u(e,c){var n,a,s=t.getSelectedRows(),u={};for(a=0;a<s.length;a++)u[n=s[a]]=!0,u[n]!==i[n]&&(t.invalidateRow(n),delete i[n]);for(a in i)t.invalidateRow(a);(i=u,t.render(),r=s.length&&s.length==t.getDataLength(),d.hideInColumnTitleRow||d.hideSelectAllCheckbox||(r?t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox' checked='checked'><label for='header-selector\"+o+\"'></label>\",d.toolTip):t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",d.toolTip)),d.hideInFilterHeaderRow)||l(\"#header-filter-selector\"+o).prop(\"checked\",r)}function h(e,o){32==e.which&&t.getColumns()[o.cell].id===d.columnId&&(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit()||p(o.row),e.preventDefault(),e.stopImmediatePropagation())}function f(e,o){if(t.getColumns()[o.cell].id===d.columnId&&l(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();p(o.row),e.stopPropagation(),e.stopImmediatePropagation()}}function p(e){i[e]?t.setSelectedRows(l.grep(t.getSelectedRows(),(function(t){return t!=e}))):t.setSelectedRows(t.getSelectedRows().concat(e)),t.setActiveCell(e,function(){if(null===m){m=0;for(var e=t.getColumns(),o=0;o<e.length;o++)e[o].id==d.columnId&&(m=o)}return m}()),t.focus()}function b(e,o){if(o.column.id==d.columnId&&l(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();if(l(e.target).is(\":checked\")){for(var c=[],n=0;n<t.getDataLength();n++)c.push(n);t.setSelectedRows(c)}else t.setSelectedRows([]);e.stopPropagation(),e.stopImmediatePropagation()}}var m=null;function g(){return Math.round(1e7*Math.random())}function k(e,t,o,l,c){var n=g()+e;return c?i[e]?\"<input id='selector\"+n+\"' type='checkbox' checked='checked'><label for='selector\"+n+\"'></label>\":\"<input id='selector\"+n+\"' type='checkbox'><label for='selector\"+n+\"'></label>\":null}l.extend(this,{init:function(e){t=e,n.subscribe(t.onSelectedRowsChanged,u).subscribe(t.onClick,f).subscribe(t.onKeyDown,h),d.hideInFilterHeaderRow||function(e){e.onHeaderRowCellRendered.subscribe((function(e,t){\"sel\"===t.column.field&&(l(t.node).empty(),l(\"<span id='filter-checkbox-selectall-container'><input id='header-filter-selector\"+o+\"' type='checkbox'><label for='header-filter-selector\"+o+\"'></label></span>\").appendTo(t.node).on(\"click\",(function(e){b(e,t)})))}))}(e),d.hideInColumnTitleRow||n.subscribe(t.onHeaderClick,b)},destroy:function(){n.unsubscribeAll()},deSelectRows:function(e){var o,c=e.length,n=[];for(o=0;o<c;o++)i[e[o]]&&(n[n.length]=e[o]);t.setSelectedRows(l.grep(t.getSelectedRows(),(function(e){return n.indexOf(e)<0})))},selectRows:function(e){var o,l=e.length,c=[];for(o=0;o<l;o++)i[e[o]]||(c[c.length]=e[o]);t.setSelectedRows(t.getSelectedRows().concat(c))},getColumnDefinition:function(){return{id:d.columnId,name:d.hideSelectAllCheckbox||d.hideInColumnTitleRow?\"\":\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",toolTip:d.toolTip,field:\"sel\",width:d.width,resizable:!1,sortable:!1,cssClass:d.cssClass,hideSelectAllCheckbox:d.hideSelectAllCheckbox,formatter:k}},getOptions:function(){return d},setOptions:function(e){if((d=l.extend(!0,{},d,e)).hideSelectAllCheckbox)a(),s();else if(d.hideInColumnTitleRow?a():(r?t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox' checked='checked'><label for='header-selector\"+o+\"'></label>\",d.toolTip):t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",d.toolTip),n.subscribe(t.onHeaderClick,b)),d.hideInFilterHeaderRow)s();else{var c=l(\"#filter-checkbox-selectall-container\");c.show(),c.find('input[type=\"checkbox\"]').prop(\"checked\",r)}}})}}},\n",
+       "      447: function _(e,t,o){var l=e(443),n=e(445),a=n.keyCode;t.exports={CellExternalCopyManager:function(e){var t,o,r=this,i=e||{},s=i.copiedCellStyleLayerKey||\"copy-manager\",u=i.copiedCellStyle||\"copied\",c=0,d=i.bodyElement||document.body,f=i.onCopyInit||null,h=i.onCopySuccess||null;function C(e){if(i.headerColumnValueExtractor){var t=i.headerColumnValueExtractor(e);if(t)return t}return e.name}function m(e,o,n){if(i.dataItemColumnValueExtractor){var a=i.dataItemColumnValueExtractor(e,o);if(a)return a}var r=\"\";if(o.editor){var s={container:l(\"<p>\"),column:o,position:{top:0,left:0},grid:t,event:n},u=new o.editor(s);u.loadValue(e),r=u.serializeValue(),u.destroy()}else r=e[o.field];return r}function g(e,o,n){if(i.dataItemColumnValueSetter)return i.dataItemColumnValueSetter(e,o,n);if(o.editor){var a={container:l(\"body\"),column:o,position:{top:0,left:0},grid:t},r=new o.editor(a);r.loadValue(e),r.applyValue(e,n),r.destroy()}else e[o.field]=n}function p(e){var t=document.createElement(\"textarea\");return t.style.position=\"absolute\",t.style.left=\"-1000px\",t.style.top=document.body.scrollTop+\"px\",t.value=e,d.appendChild(t),t.select(),t}function y(e,l){var n;if(!t.getEditorLock().isActive()||t.getOptions().autoEdit){if(e.which==a.ESC&&o&&(e.preventDefault(),w(),r.onCopyCancelled.notify({ranges:o}),o=null),(e.which===a.C||e.which===a.INSERT)&&(e.ctrlKey||e.metaKey)&&!e.shiftKey&&(f&&f.call(),0!=(n=t.getSelectionModel().getSelectedRanges()).length)){o=n,v(n),r.onCopyCells.notify({ranges:n});for(var s=t.getColumns(),u=\"\",c=0;c<n.length;c++){for(var y=n[c],D=[],S=y.fromRow;S<y.toRow+1;S++){var R=[],x=t.getDataItem(S);if(\"\"==D&&i.includeHeaderWhenCopying){for(var V=[],E=y.fromCell;E<y.toCell+1;E++)s[E].name.length>0&&V.push(C(s[E]));D.push(V.join(\"\\t\"))}for(E=y.fromCell;E<y.toCell+1;E++)R.push(m(x,s[E],e));D.push(R.join(\"\\t\"))}u+=D.join(\"\\r\\n\")+\"\\r\\n\"}if(window.clipboardData)return window.clipboardData.setData(\"Text\",u),!0;var b=document.activeElement;if((M=p(u)).focus(),setTimeout((function(){d.removeChild(M),b?b.focus():console.log(\"Not element to restore focus to after copy?\")}),100),h){var I=0;I=1===n.length?n[0].toRow+1-n[0].fromRow:n.length,h.call(this,I)}return!1}if(!i.readOnlyMode&&(e.which===a.V&&(e.ctrlKey||e.metaKey)&&!e.shiftKey||e.which===a.INSERT&&e.shiftKey&&!e.ctrlKey)){var M=p(\"\");return setTimeout((function(){!function(e,t){var o=e.getColumns(),l=t.value.split(/[\\n\\f\\r]/);\"\"==l[l.length-1]&&l.pop();var n=[],a=0;d.removeChild(t);for(var s=0;s<l.length;s++)\"\"!=l[s]?n[a++]=l[s].split(\"\\t\"):n[s]=[\"\"];var u=e.getActiveCell(),c=e.getSelectionModel().getSelectedRanges(),f=c&&c.length?c[0]:null,h=null,C=null;if(f)h=f.fromRow,C=f.fromCell;else{if(!u)return;h=u.row,C=u.cell}var m=!1,p=n.length,y=n.length?n[0].length:0;1==n.length&&1==n[0].length&&f&&(m=!0,p=f.toRow-f.fromRow+1,y=f.toCell-f.fromCell+1);var w=e.getData().length-h,D=0;if(w<p&&i.newRowCreator){var S=e.getData();for(D=1;D<=p-w;D++)S.push({});e.setData(S),e.render()}var R=h+p>e.getDataLength();if(i.newRowCreator&&R){var x=h+p-e.getDataLength();i.newRowCreator(x)}var V={isClipboardCommand:!0,clippedRange:n,oldValues:[],cellExternalCopyManager:r,_options:i,setDataItemValueForColumn:g,markCopySelection:v,oneCellToMultiple:m,activeRow:h,activeCell:C,destH:p,destW:y,maxDestY:e.getDataLength(),maxDestX:e.getColumns().length,h:0,w:0,execute:function(){this.h=0;for(var t=0;t<this.destH;t++){this.oldValues[t]=[],this.w=0,this.h++;for(var l=0;l<this.destW;l++){this.w++;var a=h+t,r=C+l;if(a<this.maxDestY&&r<this.maxDestX){e.getCellNode(a,r);var i=e.getDataItem(a);this.oldValues[t][l]=i[o[r].field],m?this.setDataItemValueForColumn(i,o[r],n[0][0]):this.setDataItemValueForColumn(i,o[r],n[t]?n[t][l]:\"\"),e.updateCell(a,r),e.onCellChange.notify({row:a,cell:r,item:i,grid:e})}}}var s={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};this.markCopySelection([s]),e.getSelectionModel().setSelectedRanges([s]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[s]})},undo:function(){for(var t=0;t<this.destH;t++)for(var l=0;l<this.destW;l++){var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var r=e.getDataItem(n);m?this.setDataItemValueForColumn(r,o[a],this.oldValues[0][0]):this.setDataItemValueForColumn(r,o[a],this.oldValues[t][l]),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:r,grid:e})}}var i={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};if(this.markCopySelection([i]),e.getSelectionModel().setSelectedRanges([i]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[i]}),D>1){for(var s=e.getData();D>1;D--)s.splice(s.length-1,1);e.setData(s),e.render()}}};i.clipboardCommandHandler?i.clipboardCommandHandler(V):V.execute()}(t,M)}),100),!1}}}function v(e){w();for(var o=t.getColumns(),l={},n=0;n<e.length;n++)for(var a=e[n].fromRow;a<=e[n].toRow;a++){l[a]={};for(var i=e[n].fromCell;i<=e[n].toCell&&i<o.length;i++)l[a][o[i].id]=u}t.setCellCssStyles(s,l),clearTimeout(c),c=setTimeout((function(){r.clearCopySelection()}),2e3)}function w(){t.removeCellCssStyles(s)}l.extend(this,{init:function(e){(t=e).onKeyDown.subscribe(y);var o=e.getSelectionModel();if(!o)throw new Error(\"Selection model is mandatory for this plugin. Please set a selection model on the grid before adding this plugin: grid.setSelectionModel(new Slick.CellSelectionModel())\");o.onSelectedRangesChanged.subscribe((function(e,o){t.focus()}))},destroy:function(){t.onKeyDown.unsubscribe(y)},clearCopySelection:w,handleKeyDown:y,onCopyCells:new n.Event,onCopyCancelled:new n.Event,onPasteCells:new n.Event,setIncludeHeaderWhenCopying:function(e){i.includeHeaderWhenCopying=e}})}}},\n",
+       "      448: function _(r,t,o){var _=r(1);_.__exportStar(r(445),t.exports),_.__exportStar(r(449),t.exports),_.__exportStar(r(452),t.exports),_.__exportStar(r(453),t.exports),_.__exportStar(r(454),t.exports),_.__exportStar(r(455),t.exports),_.__exportStar(r(456),t.exports)},\n",
+       "      449: function _(require,module,exports){\n",
+       "      /**\n",
+       "           * @license\n",
+       "           * (c) 2009-2016 Michael Leibman\n",
+       "           * michael{dot}leibman{at}gmail{dot}com\n",
+       "           * http://github.com/mleibman/slickgrid\n",
+       "           *\n",
+       "           * Distributed under MIT license.\n",
+       "           * All rights reserved.\n",
+       "           *\n",
+       "           * SlickGrid v2.3\n",
+       "           *\n",
+       "           * NOTES:\n",
+       "           *     Cell/row DOM manipulations are done directly bypassing jQuery's DOM manipulation methods.\n",
+       "           *     This increases the speed dramatically, but can only be done safely because there are no event handlers\n",
+       "           *     or data associated with any cell/row DOM nodes.  Cell editors must make sure they implement .destroy()\n",
+       "           *     and do proper cleanup.\n",
+       "           */\n",
+       "      var $=require(443),Slick=require(445),scrollbarDimensions,maxSupportedCssHeight;function SlickGrid(container,data,columns,options){$.fn.drag||require(450),$.fn.drop||require(451);var defaults={alwaysShowVerticalScroll:!1,explicitInitialization:!1,rowHeight:25,defaultColumnWidth:80,enableAddRow:!1,leaveSpaceForNewRows:!1,editable:!1,autoEdit:!0,suppressActiveCellChangeOnEdit:!1,enableCellNavigation:!0,enableColumnReorder:!0,asyncEditorLoading:!1,asyncEditorLoadDelay:100,forceFitColumns:!1,enableAsyncPostRender:!1,asyncPostRenderDelay:50,enableAsyncPostRenderCleanup:!1,asyncPostRenderCleanupDelay:40,autoHeight:!1,editorLock:Slick.GlobalEditorLock,showHeaderRow:!1,headerRowHeight:25,createFooterRow:!1,showFooterRow:!1,footerRowHeight:25,createPreHeaderPanel:!1,showPreHeaderPanel:!1,preHeaderPanelHeight:25,showTopPanel:!1,topPanelHeight:25,formatterFactory:null,editorFactory:null,cellFlashingCssClass:\"flashing\",selectedCellCssClass:\"selected\",multiSelect:!0,enableTextSelectionOnCells:!1,dataItemColumnValueExtractor:null,fullWidthRows:!1,multiColumnSort:!1,numberedMultiColumnSort:!1,tristateMultiColumnSort:!1,sortColNumberInSeparateSpan:!1,defaultFormatter,forceSyncScrolling:!1,addNewRowCssClass:\"new-row\",preserveCopiedSelectionOnPaste:!1,showCellSelection:!0,viewportClass:null,minRowBuffer:3,emulatePagingWhenScrolling:!0,editorCellNavOnLRKeys:!1},columnDefaults={name:\"\",resizable:!0,sortable:!1,minWidth:30,rerenderOnResize:!1,headerCssClass:null,defaultSortAsc:!0,focusable:!0,selectable:!0},th,h,ph,n,cj,page=0,offset=0,vScrollDir=1,initialized=!1,$container,uid=\"slickgrid_\"+Math.round(1e6*Math.random()),self=this,$focusSink,$focusSink2,$headerScroller,$headers,$headerRow,$headerRowScroller,$headerRowSpacer,$footerRow,$footerRowScroller,$footerRowSpacer,$preHeaderPanel,$preHeaderPanelScroller,$preHeaderPanelSpacer,$topPanelScroller,$topPanel,$viewport,$canvas,$style,$boundAncestors,stylesheet,columnCssRulesL,columnCssRulesR,viewportH,viewportW,canvasWidth,viewportHasHScroll,viewportHasVScroll,headerColumnWidthDiff=0,headerColumnHeightDiff=0,cellWidthDiff=0,cellHeightDiff=0,jQueryNewWidthBehaviour=!1,absoluteColumnMinWidth,tabbingDirection=1,activePosX,activeRow,activeCell,activeCellNode=null,currentEditor=null,serializedEditorValue,editController,rowsCache={},renderedRows=0,numVisibleRows,prevScrollTop=0,scrollTop=0,lastRenderedScrollTop=0,lastRenderedScrollLeft=0,prevScrollLeft=0,scrollLeft=0,selectionModel,selectedRows=[],plugins=[],cellCssClasses={},columnsById={},sortColumns=[],columnPosLeft=[],columnPosRight=[],pagingActive=!1,pagingIsLastPage=!1,scrollThrottle=ActionThrottle(render,50),h_editorLoader=null,h_render=null,h_postrender=null,h_postrenderCleanup=null,postProcessedRows={},postProcessToRow=null,postProcessFromRow=null,postProcessedCleanupQueue=[],postProcessgroupId=0,counter_rows_rendered=0,counter_rows_removed=0,rowNodeFromLastMouseWheelEvent,zombieRowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent,cssShow={position:\"absolute\",visibility:\"hidden\",display:\"block\"},$hiddenParents,oldProps=[],columnResizeDragging=!1;function init(){if(($container=container instanceof $?container:$(container)).length<1)throw new Error(\"SlickGrid requires a valid container, \"+container+\" does not exist in the DOM.\");cacheCssForHiddenInit(),maxSupportedCssHeight=maxSupportedCssHeight||getMaxSupportedCssHeight(),options=$.extend({},defaults,options),validateAndEnforceOptions(),columnDefaults.width=options.defaultColumnWidth,columnsById={};for(var e=0;e<columns.length;e++){var o=columns[e]=$.extend({},columnDefaults,columns[e]);columnsById[o.id]=e,o.minWidth&&o.width<o.minWidth&&(o.width=o.minWidth),o.maxWidth&&o.width>o.maxWidth&&(o.width=o.maxWidth)}if(options.enableColumnReorder&&!$.fn.sortable)throw new Error(\"SlickGrid's 'enableColumnReorder = true' option requires jquery-ui.sortable module to be loaded\");editController={commitCurrentEdit,cancelCurrentEdit},$container.empty().css(\"overflow\",\"hidden\").css(\"outline\",0).addClass(uid).addClass(\"ui-widget\"),/relative|absolute|fixed/.test($container.css(\"position\"))||$container.css(\"position\",\"relative\"),$focusSink=$(\"<div tabIndex='0' hideFocus style='position:fixed;width:0;height:0;top:0;left:0;outline:0;'></div>\").appendTo($container),options.createPreHeaderPanel&&($preHeaderPanelScroller=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($container),$preHeaderPanel=$(\"<div />\").appendTo($preHeaderPanelScroller),$preHeaderPanelSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScroller),options.showPreHeaderPanel||$preHeaderPanelScroller.hide()),$headerScroller=$(\"<div class='slick-header ui-state-default' />\").appendTo($container),$headers=$(\"<div class='slick-header-columns' style='left:-1000px' />\").appendTo($headerScroller),$headerRowScroller=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($container),$headerRow=$(\"<div class='slick-headerrow-columns' />\").appendTo($headerRowScroller),$headerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScroller),$topPanelScroller=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($container),$topPanel=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScroller),options.showTopPanel||$topPanelScroller.hide(),options.showHeaderRow||$headerRowScroller.hide(),($viewport=$(\"<div class='slick-viewport' style='width:100%;overflow:auto;outline:0;position:relative;;'>\").appendTo($container)).css(\"overflow-y\",options.alwaysShowVerticalScroll?\"scroll\":options.autoHeight?\"hidden\":\"auto\"),$viewport.css(\"overflow-x\",options.forceFitColumns?\"hidden\":\"auto\"),options.viewportClass&&$viewport.toggleClass(options.viewportClass,!0),$canvas=$(\"<div class='grid-canvas' />\").appendTo($viewport),scrollbarDimensions=scrollbarDimensions||measureScrollbar(),$preHeaderPanelSpacer&&$preHeaderPanelSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headers.width(getHeadersWidth()),$headerRowSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),options.createFooterRow&&($footerRowScroller=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($container),$footerRow=$(\"<div class='slick-footerrow-columns' />\").appendTo($footerRowScroller),$footerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScroller),options.showFooterRow||$footerRowScroller.hide()),$focusSink2=$focusSink.clone().appendTo($container),options.explicitInitialization||finishInitialization()}function finishInitialization(){initialized||(initialized=!0,viewportW=parseFloat($.css($container[0],\"width\",!0)),measureCellPaddingAndBorder(),disableSelection($headers),options.enableTextSelectionOnCells||$viewport.on(\"selectstart.ui\",(function(e){return $(e.target).is(\"input,textarea\")})),updateColumnCaches(),createColumnHeaders(),setupColumnSort(),createCssRules(),resizeCanvas(),bindAncestorScrollEvents(),$container.on(\"resize.slickgrid\",resizeCanvas),$viewport.on(\"scroll\",handleScroll),$headerScroller.on(\"contextmenu\",handleHeaderContextMenu).on(\"click\",handleHeaderClick).on(\"mouseenter\",\".slick-header-column\",handleHeaderMouseEnter).on(\"mouseleave\",\".slick-header-column\",handleHeaderMouseLeave),$headerRowScroller.on(\"scroll\",handleHeaderRowScroll),options.createFooterRow&&$footerRowScroller.on(\"scroll\",handleFooterRowScroll),options.createPreHeaderPanel&&$preHeaderPanelScroller.on(\"scroll\",handlePreHeaderPanelScroll),$focusSink.add($focusSink2).on(\"keydown\",handleKeyDown),$canvas.on(\"keydown\",handleKeyDown).on(\"click\",handleClick).on(\"dblclick\",handleDblClick).on(\"contextmenu\",handleContextMenu).on(\"draginit\",handleDragInit).on(\"dragstart\",{distance:3},handleDragStart).on(\"drag\",handleDrag).on(\"dragend\",handleDragEnd).on(\"mouseenter\",\".slick-cell\",handleMouseEnter).on(\"mouseleave\",\".slick-cell\",handleMouseLeave),navigator.userAgent.toLowerCase().match(/webkit/)&&navigator.userAgent.toLowerCase().match(/macintosh/)&&$canvas.on(\"mousewheel\",handleMouseWheel),restoreCssFromHiddenInit())}function cacheCssForHiddenInit(){($hiddenParents=$container.parents().addBack().not(\":visible\")).each((function(){var e={};for(var o in cssShow)e[o]=this.style[o],this.style[o]=cssShow[o];oldProps.push(e)}))}function restoreCssFromHiddenInit(){$hiddenParents.each((function(e){var o=oldProps[e];for(var t in cssShow)this.style[t]=o[t]}))}function registerPlugin(e){plugins.unshift(e),e.init(self)}function unregisterPlugin(e){for(var o=plugins.length;o>=0;o--)if(plugins[o]===e){plugins[o].destroy&&plugins[o].destroy(),plugins.splice(o,1);break}}function setSelectionModel(e){selectionModel&&(selectionModel.onSelectedRangesChanged.unsubscribe(handleSelectedRangesChanged),selectionModel.destroy&&selectionModel.destroy()),(selectionModel=e)&&(selectionModel.init(self),selectionModel.onSelectedRangesChanged.subscribe(handleSelectedRangesChanged))}function getSelectionModel(){return selectionModel}function getCanvasNode(){return $canvas[0]}function measureScrollbar(){var e=$('<div class=\"'+$viewport.className+'\" style=\"position:absolute; top:-10000px; left:-10000px; overflow:auto; width:100px; height:100px;\"></div>').appendTo($viewport),o=$('<div style=\"width:200px; height:200px; overflow:auto;\"></div>').appendTo(e),t={width:e[0].offsetWidth-e[0].clientWidth,height:e[0].offsetHeight-e[0].clientHeight};return o.remove(),e.remove(),t}function getColumnTotalWidth(e){for(var o=0,t=0,l=columns.length;t<l;t++){o+=columns[t].width}return e&&(o+=scrollbarDimensions.width),o}function getHeadersWidth(){var e=getColumnTotalWidth(!options.autoHeight);return Math.max(e,viewportW)+1e3}function getCanvasWidth(){for(var e=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,o=0,t=columns.length;t--;)o+=columns[t].width;return options.fullWidthRows?Math.max(o,e):o}function updateCanvasWidth(e){var o=canvasWidth;(canvasWidth=getCanvasWidth())!=o&&($canvas.width(canvasWidth),$headerRow.width(canvasWidth),options.createFooterRow&&$footerRow.width(canvasWidth),options.createPreHeaderPanel&&$preHeaderPanel.width(canvasWidth),$headers.width(getHeadersWidth()),viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width);var t=canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0);$headerRowSpacer.width(t),options.createFooterRow&&$footerRowSpacer.width(t),options.createPreHeaderPanel&&$preHeaderPanelSpacer.width(t),(canvasWidth!=o||e)&&applyColumnWidths()}function disableSelection(e){e&&e.jquery&&e.attr(\"unselectable\",\"on\").css(\"MozUserSelect\",\"none\").on(\"selectstart.ui\",(function(){return!1}))}function getMaxSupportedCssHeight(){for(var e=1e6,o=navigator.userAgent.toLowerCase().match(/firefox/)?6e6:1e9,t=$(\"<div style='display:none' />\").appendTo(document.body);;){var l=2*e;if(t.css(\"height\",l),l>o||t.height()!==l)break;e=l}return t.remove(),e}function getUID(){return uid}function getHeaderColumnWidthDiff(){return headerColumnWidthDiff}function getScrollbarDimensions(){return scrollbarDimensions}function bindAncestorScrollEvents(){for(var e=$canvas[0];(e=e.parentNode)!=document.body&&null!=e;)if(e==$viewport[0]||e.scrollWidth!=e.clientWidth||e.scrollHeight!=e.clientHeight){var o=$(e);$boundAncestors=$boundAncestors?$boundAncestors.add(o):o,o.on(\"scroll.\"+uid,handleActiveCellPositionChange)}}function unbindAncestorScrollEvents(){$boundAncestors&&($boundAncestors.off(\"scroll.\"+uid),$boundAncestors=null)}function updateColumnHeader(e,o,t){if(initialized){var l=getColumnIndex(e);if(null!=l){var n=columns[l],r=$headers.children().eq(l);r&&(void 0!==o&&(columns[l].name=o),void 0!==t&&(columns[l].toolTip=t),trigger(self.onBeforeHeaderCellDestroy,{node:r[0],column:n,grid:self}),r.attr(\"title\",t||\"\").children().eq(0).html(o),trigger(self.onHeaderCellRendered,{node:r[0],column:n,grid:self}))}}}function getHeader(){return $headers[0]}function getHeaderColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headers.children().eq(o);return t&&t[0]}function getHeaderRow(){return $headerRow[0]}function getFooterRow(){return $footerRow[0]}function getPreHeaderPanel(){return $preHeaderPanel[0]}function getHeaderRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headerRow.children().eq(o);return t&&t[0]}function getFooterRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$footerRow.children().eq(o);return t&&t[0]}function createColumnHeaders(){function e(){$(this).addClass(\"ui-state-hover\")}function o(){$(this).removeClass(\"ui-state-hover\")}$headers.find(\".slick-header-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderCellDestroy,{node:this,column:e,grid:self})})),$headers.empty(),$headers.width(getHeadersWidth()),$headerRow.find(\".slick-headerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderRowCellDestroy,{node:this,column:e,grid:self})})),$headerRow.empty(),options.createFooterRow&&($footerRow.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e})})),$footerRow.empty());for(var t=0;t<columns.length;t++){var l=columns[t],n=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+l.name+\"</span>\").width(l.width-headerColumnWidthDiff).attr(\"id\",\"\"+uid+l.id).attr(\"title\",l.toolTip||\"\").data(\"column\",l).addClass(l.headerCssClass||\"\").appendTo($headers);if((options.enableColumnReorder||l.sortable)&&n.on(\"mouseenter\",e).on(\"mouseleave\",o),l.sortable&&(n.addClass(\"slick-header-sortable\"),n.append(\"<span class='slick-sort-indicator\"+(options.numberedMultiColumnSort&&!options.sortColNumberInSeparateSpan?\" slick-sort-indicator-numbered\":\"\")+\"' />\"),options.numberedMultiColumnSort&&options.sortColNumberInSeparateSpan&&n.append(\"<span class='slick-sort-indicator-numbered' />\")),trigger(self.onHeaderCellRendered,{node:n[0],column:l,grid:self}),options.showHeaderRow){var r=$(\"<div class='ui-state-default slick-headerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($headerRow);trigger(self.onHeaderRowCellRendered,{node:r[0],column:l,grid:self})}if(options.createFooterRow&&options.showFooterRow){var i=$(\"<div class='ui-state-default slick-footerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($footerRow);trigger(self.onFooterRowCellRendered,{node:i[0],column:l})}}setSortColumns(sortColumns),setupColumnResize(),options.enableColumnReorder&&(\"function\"==typeof options.enableColumnReorder?options.enableColumnReorder(self,$headers,headerColumnWidthDiff,setColumns,setupColumnResize,columns,getColumnIndex,uid,trigger):setupColumnReorder())}function setupColumnSort(){$headers.click((function(e){if(!columnResizeDragging&&(e.metaKey=e.metaKey||e.ctrlKey,!$(e.target).hasClass(\"slick-resizable-handle\"))){var o=$(e.target).closest(\".slick-header-column\");if(o.length){var t=o.data(\"column\");if(t.sortable){if(!getEditorLock().commitCurrentEdit())return;for(var l=null,n=0;n<sortColumns.length;n++)if(sortColumns[n].columnId==t.id){(l=sortColumns[n]).sortAsc=!l.sortAsc;break}var r=!!l;options.tristateMultiColumnSort?(l||(l={columnId:t.id,sortAsc:t.defaultSortAsc}),r&&l.sortAsc&&(sortColumns.splice(n,1),l=null),options.multiColumnSort||(sortColumns=[]),!l||r&&options.multiColumnSort||sortColumns.push(l)):e.metaKey&&options.multiColumnSort?l&&sortColumns.splice(n,1):((e.shiftKey||e.metaKey)&&options.multiColumnSort||(sortColumns=[]),l?0==sortColumns.length&&sortColumns.push(l):(l={columnId:t.id,sortAsc:t.defaultSortAsc},sortColumns.push(l))),setSortColumns(sortColumns),options.multiColumnSort?trigger(self.onSort,{multiColumnSort:!0,sortCols:$.map(sortColumns,(function(e){return{sortCol:columns[getColumnIndex(e.columnId)],sortAsc:e.sortAsc}}))},e):trigger(self.onSort,{multiColumnSort:!1,sortCol:sortColumns.length>0?t:null,sortAsc:!(sortColumns.length>0)||sortColumns[0].sortAsc},e)}}}}))}function setupColumnReorder(){$headers.filter(\":ui-sortable\").sortable(\"destroy\"),$headers.sortable({containment:\"parent\",distance:3,axis:\"x\",cursor:\"default\",tolerance:\"intersection\",helper:\"clone\",placeholder:\"slick-sortable-placeholder ui-state-default slick-header-column\",start:function(e,o){o.placeholder.width(o.helper.outerWidth()-headerColumnWidthDiff),$(o.helper).addClass(\"slick-header-column-active\")},beforeStop:function(e,o){$(o.helper).removeClass(\"slick-header-column-active\")},stop:function(e){if(getEditorLock().commitCurrentEdit()){for(var o=$headers.sortable(\"toArray\"),t=[],l=0;l<o.length;l++)t.push(columns[getColumnIndex(o[l].replace(uid,\"\"))]);setColumns(t),trigger(self.onColumnsReordered,{}),e.stopPropagation(),setupColumnResize()}else $(this).sortable(\"cancel\")}})}function setupColumnResize(){var e,o,t,l,n,r,i,s;(l=$headers.children()).find(\".slick-resizable-handle\").remove(),l.each((function(e,o){e>=columns.length||columns[e].resizable&&(void 0===i&&(i=e),s=e)})),void 0!==i&&l.each((function(a,c){a>=columns.length||a<i||options.forceFitColumns&&a>=s||($(c),$(\"<div class='slick-resizable-handle' />\").appendTo(c).on(\"dragstart\",(function(i,s){if(!getEditorLock().commitCurrentEdit())return!1;t=i.pageX,$(this).parent().addClass(\"slick-header-column-active\");var c=null,d=null;if(l.each((function(e,o){e>=columns.length||(columns[e].previousWidth=$(o).outerWidth())})),options.forceFitColumns)for(c=0,d=0,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(null!==d&&(o.maxWidth?d+=o.maxWidth-o.previousWidth:d=null),c+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));var u=0,h=0;for(e=0;e<=a;e++)(o=columns[e]).resizable&&(null!==h&&(o.maxWidth?h+=o.maxWidth-o.previousWidth:h=null),u+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));null===c&&(c=1e5),null===u&&(u=1e5),null===d&&(d=1e5),null===h&&(h=1e5),r=t+Math.min(c,h),n=t-Math.min(u,d)})).on(\"drag\",(function(l,i){columnResizeDragging=!0;var s,c,d=Math.min(r,Math.max(n,l.pageX))-t;if(d<0){for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0))}else{for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0))}applyColumnHeaderWidths(),options.syncColumnCellResize&&applyColumnWidths()})).on(\"dragend\",(function(t,n){var r;for($(this).parent().removeClass(\"slick-header-column-active\"),e=0;e<columns.length;e++)o=columns[e],r=$(l[e]).outerWidth(),o.previousWidth!==r&&o.rerenderOnResize&&invalidateAllRows();updateCanvasWidth(!0),render(),trigger(self.onColumnsResized,{}),setTimeout((function(){columnResizeDragging=!1}),300)})))}))}function getVBoxDelta(e){var o=0;return $.each([\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],(function(t,l){o+=parseFloat(e.css(l))||0})),o}function measureCellPaddingAndBorder(){var e,o=[\"borderLeftWidth\",\"borderRightWidth\",\"paddingLeft\",\"paddingRight\"],t=[\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],l=$.fn.jquery.split(\".\");jQueryNewWidthBehaviour=1==l[0]&&l[1]>=8||l[0]>=2,e=$(\"<div class='ui-state-default slick-header-column' style='visibility:hidden'>-</div>\").appendTo($headers),headerColumnWidthDiff=headerColumnHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){headerColumnWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){headerColumnHeightDiff+=parseFloat(e.css(t))||0}))),e.remove();var n=$(\"<div class='slick-row' />\").appendTo($canvas);e=$(\"<div class='slick-cell' id='' style='visibility:hidden'>-</div>\").appendTo(n),cellWidthDiff=cellHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){cellWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){cellHeightDiff+=parseFloat(e.css(t))||0}))),n.remove(),absoluteColumnMinWidth=Math.max(headerColumnWidthDiff,cellWidthDiff)}function createCssRules(){$style=$(\"<style type='text/css' rel='stylesheet' />\").appendTo($(\"head\"));for(var e=options.rowHeight-cellHeightDiff,o=[\".\"+uid+\" .slick-header-column { left: 1000px; }\",\".\"+uid+\" .slick-top-panel { height:\"+options.topPanelHeight+\"px; }\",\".\"+uid+\" .slick-preheader-panel { height:\"+options.preHeaderPanelHeight+\"px; }\",\".\"+uid+\" .slick-headerrow-columns { height:\"+options.headerRowHeight+\"px; }\",\".\"+uid+\" .slick-footerrow-columns { height:\"+options.footerRowHeight+\"px; }\",\".\"+uid+\" .slick-cell { height:\"+e+\"px; }\",\".\"+uid+\" .slick-row { height:\"+options.rowHeight+\"px; }\"],t=0;t<columns.length;t++)o.push(\".\"+uid+\" .l\"+t+\" { }\"),o.push(\".\"+uid+\" .r\"+t+\" { }\");$style[0].styleSheet?$style[0].styleSheet.cssText=o.join(\" \"):$style[0].appendChild(document.createTextNode(o.join(\" \")))}function getColumnCssRules(e){var o;if(!stylesheet){var t=document.styleSheets;for(o=0;o<t.length;o++)if((t[o].ownerNode||t[o].owningElement)==$style[0]){stylesheet=t[o];break}if(!stylesheet)throw new Error(\"Cannot find stylesheet.\");columnCssRulesL=[],columnCssRulesR=[];var l,n,r=stylesheet.cssRules||stylesheet.rules;for(o=0;o<r.length;o++){var i=r[o].selectorText;(l=/\\.l\\d+/.exec(i))?(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesL[n]=r[o]):(l=/\\.r\\d+/.exec(i))&&(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesR[n]=r[o])}}return{left:columnCssRulesL[e],right:columnCssRulesR[e]}}function removeCssRules(){$style.remove(),stylesheet=null}function destroy(){getEditorLock().cancelCurrentEdit(),trigger(self.onBeforeDestroy,{});for(var e=plugins.length;e--;)unregisterPlugin(plugins[e]);options.enableColumnReorder&&$headers.filter(\":ui-sortable\").sortable(\"destroy\"),unbindAncestorScrollEvents(),$container.off(\".slickgrid\"),removeCssRules(),$canvas.off(\"draginit dragstart dragend drag\"),$container.empty().removeClass(uid)}function trigger(e,o,t){return t=t||new Slick.EventData,(o=o||{}).grid=self,e.notify(o,t,self)}function getEditorLock(){return options.editorLock}function getEditController(){return editController}function getColumnIndex(e){return columnsById[e]}function autosizeColumns(){var e,o,t,l=[],n=0,r=0,i=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW;for(e=0;e<columns.length;e++)o=columns[e],l.push(o.width),r+=o.width,o.resizable&&(n+=o.width-Math.max(o.minWidth,absoluteColumnMinWidth));for(t=r;r>i&&n;){var s=(r-i)/n;for(e=0;e<columns.length&&r>i;e++){o=columns[e];var a=l[e];if(!(!o.resizable||a<=o.minWidth||a<=absoluteColumnMinWidth)){var c=Math.max(o.minWidth,absoluteColumnMinWidth),d=Math.floor(s*(a-c))||1;r-=d=Math.min(d,a-c),n-=d,l[e]-=d}}if(t<=r)break;t=r}for(t=r;r<i;){var u=i/r;for(e=0;e<columns.length&&r<i;e++){o=columns[e];var h,p=l[e];r+=h=!o.resizable||o.maxWidth<=p?0:Math.min(Math.floor(u*p)-p,o.maxWidth-p||1e6)||1,l[e]+=r<=i?h:0}if(t>=r)break;t=r}var g=!1;for(e=0;e<columns.length;e++)columns[e].rerenderOnResize&&columns[e].width!=l[e]&&(g=!0),columns[e].width=l[e];applyColumnHeaderWidths(),updateCanvasWidth(!0),trigger(self.onAutosizeColumns,{columns}),g&&(invalidateAllRows(),render())}function applyColumnHeaderWidths(){if(initialized){for(var e,o=0,t=$headers.children(),l=columns.length;o<l;o++)e=$(t[o]),jQueryNewWidthBehaviour?e.outerWidth()!==columns[o].width&&e.outerWidth(columns[o].width):e.width()!==columns[o].width-headerColumnWidthDiff&&e.width(columns[o].width-headerColumnWidthDiff);updateColumnCaches()}}function applyColumnWidths(){for(var e,o,t=0,l=0;l<columns.length;l++)e=columns[l].width,(o=getColumnCssRules(l)).left.style.left=t+\"px\",o.right.style.right=canvasWidth-t-e+\"px\",t+=columns[l].width}function setSortColumn(e,o){setSortColumns([{columnId:e,sortAsc:o}])}function setSortColumns(e){sortColumns=e;var o=options.numberedMultiColumnSort&&sortColumns.length>1,t=$headers.children();t.removeClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").removeClass(\"slick-sort-indicator-asc slick-sort-indicator-desc\"),t.find(\".slick-sort-indicator-numbered\").text(\"\"),$.each(sortColumns,(function(e,l){null==l.sortAsc&&(l.sortAsc=!0);var n=getColumnIndex(l.columnId);null!=n&&(t.eq(n).addClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").addClass(l.sortAsc?\"slick-sort-indicator-asc\":\"slick-sort-indicator-desc\"),o&&t.eq(n).find(\".slick-sort-indicator-numbered\").text(e+1))}))}function getSortColumns(){return sortColumns}function handleSelectedRangesChanged(e,o){selectedRows=[];for(var t={},l=0;l<o.length;l++)for(var n=o[l].fromRow;n<=o[l].toRow;n++){t[n]||(selectedRows.push(n),t[n]={});for(var r=o[l].fromCell;r<=o[l].toCell;r++)canCellBeSelected(n,r)&&(t[n][columns[r].id]=options.selectedCellCssClass)}setCellCssStyles(options.selectedCellCssClass,t),trigger(self.onSelectedRowsChanged,{rows:getSelectedRows()},e)}function getColumns(){return columns}function updateColumnCaches(){columnPosLeft=[],columnPosRight=[];for(var e=0,o=0,t=columns.length;o<t;o++)columnPosLeft[o]=e,columnPosRight[o]=e+columns[o].width,e+=columns[o].width}function setColumns(e){columns=e,columnsById={};for(var o=0;o<columns.length;o++){var t=columns[o]=$.extend({},columnDefaults,columns[o]);columnsById[t.id]=o,t.minWidth&&t.width<t.minWidth&&(t.width=t.minWidth),t.maxWidth&&t.width>t.maxWidth&&(t.width=t.maxWidth)}updateColumnCaches(),initialized&&(invalidateAllRows(),createColumnHeaders(),removeCssRules(),createCssRules(),resizeCanvas(),applyColumnWidths(),handleScroll())}function getOptions(){return options}function setOptions(e,o){getEditorLock().commitCurrentEdit()&&(makeActiveCellNormal(),options.enableAddRow!==e.enableAddRow&&invalidateRow(getDataLength()),options=$.extend(options,e),validateAndEnforceOptions(),$viewport.css(\"overflow-y\",options.autoHeight?\"hidden\":\"auto\"),o||render())}function validateAndEnforceOptions(){options.autoHeight&&(options.leaveSpaceForNewRows=!1)}function setData(e,o){data=e,invalidateAllRows(),updateRowCount(),o&&scrollTo(0)}function getData(){return data}function getDataLength(){return data.getLength?data.getLength():data.length}function getDataLengthIncludingAddNew(){return getDataLength()+(options.enableAddRow&&(!pagingActive||pagingIsLastPage)?1:0)}function getDataItem(e){return data.getItem?data.getItem(e):data[e]}function getTopPanel(){return $topPanel[0]}function setTopPanelVisibility(e){options.showTopPanel!=e&&(options.showTopPanel=e,e?$topPanelScroller.slideDown(\"fast\",resizeCanvas):$topPanelScroller.slideUp(\"fast\",resizeCanvas))}function setHeaderRowVisibility(e){options.showHeaderRow!=e&&(options.showHeaderRow=e,e?$headerRowScroller.slideDown(\"fast\",resizeCanvas):$headerRowScroller.slideUp(\"fast\",resizeCanvas))}function setFooterRowVisibility(e){options.showFooterRow!=e&&(options.showFooterRow=e,e?$footerRowScroller.slideDown(\"fast\",resizeCanvas):$footerRowScroller.slideUp(\"fast\",resizeCanvas))}function setPreHeaderPanelVisibility(e){options.showPreHeaderPanel!=e&&(options.showPreHeaderPanel=e,e?$preHeaderPanelScroller.slideDown(\"fast\",resizeCanvas):$preHeaderPanelScroller.slideUp(\"fast\",resizeCanvas))}function getContainerNode(){return $container.get(0)}function getRowTop(e){return options.rowHeight*e-offset}function getRowFromPosition(e){return Math.floor((e+offset)/options.rowHeight)}function scrollTo(e){e=Math.max(e,0),e=Math.min(e,th-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0));var o=offset;page=Math.min(n-1,Math.floor(e/ph));var t=e-(offset=Math.round(page*cj));offset!=o&&(cleanupRows(getVisibleRange(t)),updateRowPositions());prevScrollTop!=t&&(vScrollDir=prevScrollTop+o<t+offset?1:-1,$viewport[0].scrollTop=lastRenderedScrollTop=scrollTop=prevScrollTop=t,trigger(self.onViewportChanged,{}))}function defaultFormatter(e,o,t,l,n,r){return null==t?\"\":(t+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}function getFormatter(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e),l=t&&t.columns&&(t.columns[o.id]||t.columns[getColumnIndex(o.id)]);return l&&l.formatter||t&&t.formatter||o.formatter||options.formatterFactory&&options.formatterFactory.getFormatter(o)||options.defaultFormatter}function getEditor(e,o){var t=columns[o],l=data.getItemMetadata&&data.getItemMetadata(e),n=l&&l.columns;return n&&n[t.id]&&void 0!==n[t.id].editor?n[t.id].editor:n&&n[o]&&void 0!==n[o].editor?n[o].editor:t.editor||options.editorFactory&&options.editorFactory.getEditor(t)}function getDataItemValueForColumn(e,o){return options.dataItemColumnValueExtractor?options.dataItemColumnValueExtractor(e,o):e[o.field]}function appendRowHtml(e,o,t,l){var n=getDataItem(o),r=\"slick-row\"+(o<l&&!n?\" loading\":\"\")+(o===activeRow&&options.showCellSelection?\" active\":\"\")+(o%2==1?\" odd\":\" even\");n||(r+=\" \"+options.addNewRowCssClass);var i,s,a=data.getItemMetadata&&data.getItemMetadata(o);a&&a.cssClasses&&(r+=\" \"+a.cssClasses),e.push(\"<div class='ui-widget-content \"+r+\"' style='top:\"+getRowTop(o)+\"px'>\");for(var c=0,d=columns.length;c<d;c++){if(s=columns[c],i=1,a&&a.columns){var u=a.columns[s.id]||a.columns[c];\"*\"===(i=u&&u.colspan||1)&&(i=d-c)}if(columnPosRight[Math.min(d-1,c+i-1)]>t.leftPx){if(columnPosLeft[c]>t.rightPx)break;appendCellHtml(e,o,c,i,n)}i>1&&(c+=i-1)}e.push(\"</div>\")}function appendCellHtml(e,o,t,l,n){var r=columns[t],i=\"slick-cell l\"+t+\" r\"+Math.min(columns.length-1,t+l-1)+(r.cssClass?\" \"+r.cssClass:\"\");for(var s in o===activeRow&&t===activeCell&&options.showCellSelection&&(i+=\" active\"),cellCssClasses)cellCssClasses[s][o]&&cellCssClasses[s][o][r.id]&&(i+=\" \"+cellCssClasses[s][o][r.id]);var a=null,c=\"\";n&&(a=getDataItemValueForColumn(n,r),null==(c=getFormatter(o,r)(o,t,a,r,n,self))&&(c=\"\"));var d=trigger(self.onBeforeAppendCell,{row:o,cell:t,value:a,dataContext:n})||\"\";d+=c&&c.addClasses?(d?\" \":\"\")+c.addClasses:\"\",e.push(\"<div class='\"+i+(d?\" \"+d:\"\")+\"'>\"),n&&e.push(\"[object Object]\"!==Object.prototype.toString.call(c)?c:c.text),e.push(\"</div>\"),rowsCache[o].cellRenderQueue.push(t),rowsCache[o].cellColSpans[t]=l}function cleanupRows(e){for(var o in rowsCache)(o=parseInt(o,10))!==activeRow&&(o<e.top||o>e.bottom)&&removeRowFromCache(o);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function invalidate(){updateRowCount(),invalidateAllRows(),render()}function invalidateAllRows(){for(var e in currentEditor&&makeActiveCellNormal(),rowsCache)removeRowFromCache(e);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function queuePostProcessedRowForCleanup(e,o,t){for(var l in postProcessgroupId++,o)o.hasOwnProperty(l)&&postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e.cellNodesByColumnIdx[0|l],columnIdx:0|l,rowIdx:t});postProcessedCleanupQueue.push({actionType:\"R\",groupId:postProcessgroupId,node:e.rowNode}),$(e.rowNode).detach()}function queuePostProcessedCellForCleanup(e,o,t){postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e,columnIdx:o,rowIdx:t}),$(e).detach()}function removeRowFromCache(e){var o=rowsCache[e];o&&(o.rowNode&&(rowNodeFromLastMouseWheelEvent===o.rowNode?(o.rowNode.style.display=\"none\",zombieRowNodeFromLastMouseWheelEvent=rowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent=o,zombieRowPostProcessedFromLastMouseWheelEvent=postProcessedRows[e]):options.enableAsyncPostRenderCleanup&&postProcessedRows[e]?queuePostProcessedRowForCleanup(o,postProcessedRows[e],e):$canvas[0].removeChild(o.rowNode)),delete rowsCache[e],delete postProcessedRows[e],renderedRows--,counter_rows_removed++)}function invalidateRows(e){var o,t;if(e&&e.length){for(vScrollDir=0,t=e.length,o=0;o<t;o++)currentEditor&&activeRow===e[o]&&makeActiveCellNormal(),rowsCache[e[o]]&&removeRowFromCache(e[o]);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}}function invalidateRow(e){(e||0===e)&&invalidateRows([e])}function applyFormatResultToCellNode(e,o,t){null==e&&(e=\"\"),\"[object Object]\"===Object.prototype.toString.call(e)?(o.innerHTML=e.text,e.removeClasses&&!t&&$(o).removeClass(e.removeClasses),e.addClasses&&$(o).addClass(e.addClasses)):o.innerHTML=e}function updateCell(e,o){var t=getCellNode(e,o);if(t){var l=columns[o],n=getDataItem(e);if(currentEditor&&activeRow===e&&activeCell===o)currentEditor.loadValue(n);else applyFormatResultToCellNode(n?getFormatter(e,l)(e,o,getDataItemValueForColumn(n,l),l,n,self):\"\",t),invalidatePostProcessingResults(e)}}function updateRow(e){var o=rowsCache[e];if(o){ensureCellNodesInRowsCache(e);var t=getDataItem(e);for(var l in o.cellNodesByColumnIdx)if(o.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=o.cellNodesByColumnIdx[l];e===activeRow&&l===activeCell&&currentEditor?currentEditor.loadValue(t):t?applyFormatResultToCellNode(getFormatter(e,n)(e,l,getDataItemValueForColumn(t,n),n,t,self),r):r.innerHTML=\"\"}invalidatePostProcessingResults(e)}}function getViewportHeight(){return parseFloat($.css($container[0],\"height\",!0))-parseFloat($.css($container[0],\"paddingTop\",!0))-parseFloat($.css($container[0],\"paddingBottom\",!0))-parseFloat($.css($headerScroller[0],\"height\"))-getVBoxDelta($headerScroller)-(options.showTopPanel?options.topPanelHeight+getVBoxDelta($topPanelScroller):0)-(options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0)-(options.createFooterRow&&options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0)-(options.createPreHeaderPanel&&options.showPreHeaderPanel?options.preHeaderPanelHeight+getVBoxDelta($preHeaderPanelScroller):0)}function resizeCanvas(){initialized&&(viewportH=options.autoHeight?options.rowHeight*getDataLengthIncludingAddNew():getViewportHeight(),numVisibleRows=Math.ceil(viewportH/options.rowHeight),viewportW=parseFloat($.css($container[0],\"width\",!0)),options.autoHeight||$viewport.height(viewportH),scrollbarDimensions&&scrollbarDimensions.width||(scrollbarDimensions=measureScrollbar()),options.forceFitColumns&&autosizeColumns(),updateRowCount(),handleScroll(),lastRenderedScrollLeft=-1,render())}function updatePagingStatusFromView(e){pagingActive=0!==e.pageSize,pagingIsLastPage=e.pageNum==e.totalPages-1}function updateRowCount(){if(initialized){var e=getDataLength(),o=getDataLengthIncludingAddNew()+(options.leaveSpaceForNewRows?numVisibleRows-1:0),t=viewportHasVScroll;viewportHasVScroll=options.alwaysShowVerticalScroll||!options.autoHeight&&o*options.rowHeight>viewportH,viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width,makeActiveCellNormal();var l=e-1;for(var r in rowsCache)r>l&&removeRowFromCache(r);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup(),activeCellNode&&activeRow>l&&resetActiveCell();var i=h;(th=Math.max(options.rowHeight*o,viewportH-scrollbarDimensions.height))<maxSupportedCssHeight?(h=ph=th,n=1,cj=0):(ph=(h=maxSupportedCssHeight)/100,n=Math.floor(th/ph),cj=(th-h)/(n-1)),h!==i&&($canvas.css(\"height\",h),scrollTop=$viewport[0].scrollTop);var s=scrollTop+offset<=th-viewportH;0==th||0==scrollTop?page=offset=0:scrollTo(s?scrollTop+offset:th-viewportH),h!=i&&options.autoHeight&&resizeCanvas(),options.forceFitColumns&&t!=viewportHasVScroll&&autosizeColumns(),updateCanvasWidth(!1)}}function getVisibleRange(e,o){return null==e&&(e=scrollTop),null==o&&(o=scrollLeft),{top:getRowFromPosition(e),bottom:getRowFromPosition(e+viewportH)+1,leftPx:o,rightPx:o+viewportW}}function getRenderedRange(e,o){var t=getVisibleRange(e,o),l=Math.round(viewportH/options.rowHeight),n=options.minRowBuffer;return-1==vScrollDir?(t.top-=l,t.bottom+=n):1==vScrollDir?(t.top-=n,t.bottom+=l):(t.top-=n,t.bottom+=n),t.top=Math.max(0,t.top),t.bottom=Math.min(getDataLengthIncludingAddNew()-1,t.bottom),t.leftPx-=viewportW,t.rightPx+=viewportW,t.leftPx=Math.max(0,t.leftPx),t.rightPx=Math.min(canvasWidth,t.rightPx),t}function ensureCellNodesInRowsCache(e){var o=rowsCache[e];if(o&&o.cellRenderQueue.length)for(var t=o.rowNode.lastChild;o.cellRenderQueue.length;){var l=o.cellRenderQueue.pop();o.cellNodesByColumnIdx[l]=t,t=t.previousSibling}}function cleanUpCells(e,o){var t,l,n=rowsCache[o],r=[];for(var i in n.cellNodesByColumnIdx)if(n.cellNodesByColumnIdx.hasOwnProperty(i)){i|=0;var s=n.cellColSpans[i];(columnPosLeft[i]>e.rightPx||columnPosRight[Math.min(columns.length-1,i+s-1)]<e.leftPx)&&(o==activeRow&&i==activeCell||r.push(i))}for(postProcessgroupId++;null!=(t=r.pop());)l=n.cellNodesByColumnIdx[t],options.enableAsyncPostRenderCleanup&&postProcessedRows[o]&&postProcessedRows[o][t]?queuePostProcessedCellForCleanup(l,t,o):n.rowNode.removeChild(l),delete n.cellColSpans[t],delete n.cellNodesByColumnIdx[t],postProcessedRows[o]&&delete postProcessedRows[o][t]}function cleanUpAndRenderCells(e){for(var o,t,l,n=[],r=[],i=e.top,s=e.bottom;i<=s;i++)if(o=rowsCache[i]){ensureCellNodesInRowsCache(i),cleanUpCells(e,i),t=0;var a=data.getItemMetadata&&data.getItemMetadata(i);a=a&&a.columns;for(var c=getDataItem(i),d=0,u=columns.length;d<u&&!(columnPosLeft[d]>e.rightPx);d++)if(null==(l=o.cellColSpans[d])){if(l=1,a){var h=a[columns[d].id]||a[d];\"*\"===(l=h&&h.colspan||1)&&(l=u-d)}columnPosRight[Math.min(u-1,d+l-1)]>e.leftPx&&(appendCellHtml(n,i,d,l,c),t++),d+=l>1?l-1:0}else d+=l>1?l-1:0;t&&(t,r.push(i))}if(n.length){var p,g,m=document.createElement(\"div\");for(m.innerHTML=n.join(\"\");null!=(p=r.pop());){var v;for(o=rowsCache[p];null!=(v=o.cellRenderQueue.pop());)g=m.lastChild,o.rowNode.appendChild(g),o.cellNodesByColumnIdx[v]=g}}}function renderRows(e){for(var o=$canvas[0],t=[],l=[],n=!1,r=getDataLength(),i=e.top,s=e.bottom;i<=s;i++)rowsCache[i]||(renderedRows++,l.push(i),rowsCache[i]={rowNode:null,cellColSpans:[],cellNodesByColumnIdx:[],cellRenderQueue:[]},appendRowHtml(t,i,e,r),activeCellNode&&activeRow===i&&(n=!0),counter_rows_rendered++);if(l.length){var a=document.createElement(\"div\");a.innerHTML=t.join(\"\");for(i=0,s=l.length;i<s;i++)rowsCache[l[i]].rowNode=o.appendChild(a.firstChild);n&&(activeCellNode=getCellNode(activeRow,activeCell))}}function startPostProcessing(){options.enableAsyncPostRender&&(clearTimeout(h_postrender),h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}function startPostProcessingCleanup(){options.enableAsyncPostRenderCleanup&&(clearTimeout(h_postrenderCleanup),h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay))}function invalidatePostProcessingResults(e){for(var o in postProcessedRows[e])postProcessedRows[e].hasOwnProperty(o)&&(postProcessedRows[e][o]=\"C\");postProcessFromRow=Math.min(postProcessFromRow,e),postProcessToRow=Math.max(postProcessToRow,e),startPostProcessing()}function updateRowPositions(){for(var e in rowsCache)rowsCache[e].rowNode.style.top=getRowTop(e)+\"px\"}function render(){if(initialized){scrollThrottle.dequeue();var e=getVisibleRange(),o=getRenderedRange();cleanupRows(o),lastRenderedScrollLeft!=scrollLeft&&cleanUpAndRenderCells(o),renderRows(o),postProcessFromRow=e.top,postProcessToRow=Math.min(getDataLengthIncludingAddNew()-1,e.bottom),startPostProcessing(),lastRenderedScrollTop=scrollTop,lastRenderedScrollLeft=scrollLeft,h_render=null,trigger(self.onRendered,{startRow:e.top,endRow:e.bottom,grid:self})}}function handleHeaderScroll(){handleElementScroll($headerScroller[0])}function handleHeaderRowScroll(){handleElementScroll($headerRowScroller[0])}function handleFooterRowScroll(){handleElementScroll($footerRowScroller[0])}function handlePreHeaderPanelScroll(){handleElementScroll($preHeaderPanelScroller[0])}function handleElementScroll(e){var o=e.scrollLeft;o!=$viewport[0].scrollLeft&&($viewport[0].scrollLeft=o)}function handleScroll(){scrollTop=$viewport[0].scrollTop,scrollLeft=$viewport[0].scrollLeft;var e=Math.abs(scrollTop-prevScrollTop),o=Math.abs(scrollLeft-prevScrollLeft);if(o&&(prevScrollLeft=scrollLeft,$headerScroller[0].scrollLeft=scrollLeft,$topPanelScroller[0].scrollLeft=scrollLeft,$headerRowScroller[0].scrollLeft=scrollLeft,options.createFooterRow&&($footerRowScroller[0].scrollLeft=scrollLeft),options.createPreHeaderPanel&&($preHeaderPanelScroller[0].scrollLeft=scrollLeft)),e)if(vScrollDir=prevScrollTop<scrollTop?1:-1,prevScrollTop=scrollTop,e<viewportH)scrollTo(scrollTop+offset);else{var t=offset;page=h==viewportH?0:Math.min(n-1,Math.floor(scrollTop*((th-viewportH)/(h-viewportH))*(1/ph))),t!=(offset=Math.round(page*cj))&&invalidateAllRows()}if(o||e){var l=Math.abs(lastRenderedScrollLeft-scrollLeft),r=Math.abs(lastRenderedScrollTop-scrollTop);(l>20||r>20)&&(options.forceSyncScrolling||r<viewportH&&l<viewportW?render():scrollThrottle.enqueue(),trigger(self.onViewportChanged,{}))}trigger(self.onScroll,{scrollLeft,scrollTop})}function ActionThrottle(e,o){var t=!1,l=!1;function n(){l=!1}function r(){t=!0,setTimeout(i,o),e()}function i(){l?(n(),r()):t=!1}return{enqueue:function(){t?l=!0:r()},dequeue:n}}function asyncPostProcessRows(){for(var e=getDataLength();postProcessFromRow<=postProcessToRow;){var o=vScrollDir>=0?postProcessFromRow++:postProcessToRow--,t=rowsCache[o];if(t&&!(o>=e)){for(var l in postProcessedRows[o]||(postProcessedRows[o]={}),ensureCellNodesInRowsCache(o),t.cellNodesByColumnIdx)if(t.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=postProcessedRows[o][l];if(n.asyncPostRender&&\"R\"!==r){var i=t.cellNodesByColumnIdx[l];i&&n.asyncPostRender(i,o,getDataItem(o),n,\"C\"===r),postProcessedRows[o][l]=\"R\"}}return void(h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}}}function asyncPostProcessCleanupRows(){if(postProcessedCleanupQueue.length>0){for(var e=postProcessedCleanupQueue[0].groupId;postProcessedCleanupQueue.length>0&&postProcessedCleanupQueue[0].groupId==e;){var o=postProcessedCleanupQueue.shift();if(\"R\"==o.actionType&&$(o.node).remove(),\"C\"==o.actionType){var t=columns[o.columnIdx];t.asyncPostRenderCleanup&&o.node&&t.asyncPostRenderCleanup(o.node,o.rowIdx,t)}}h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay)}}function updateCellCssStylesOnRenderedRows(e,o){var t,l,n,r;for(var i in rowsCache){if(r=o&&o[i],n=e&&e[i],r)for(l in r)n&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).removeClass(r[l]);if(n)for(l in n)r&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).addClass(n[l])}}function addCellCssStyles(e,o){if(cellCssClasses[e])throw new Error(\"addCellCssStyles: cell CSS hash with key '\"+e+\"' already exists.\");cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,null),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function removeCellCssStyles(e){cellCssClasses[e]&&(updateCellCssStylesOnRenderedRows(null,cellCssClasses[e]),delete cellCssClasses[e],trigger(self.onCellCssStylesChanged,{key:e,hash:null,grid:self}))}function setCellCssStyles(e,o){var t=cellCssClasses[e];cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,t),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function getCellCssStyles(e){return cellCssClasses[e]}function flashCell(e,o,t){if(t=t||100,rowsCache[e]){var l=$(getCellNode(e,o)),n=function(e){e&&setTimeout((function(){l.queue((function(){l.toggleClass(options.cellFlashingCssClass).dequeue(),n(e-1)}))}),t)};n(4)}}function handleMouseWheel(e){var o=$(e.target).closest(\".slick-row\")[0];o!=rowNodeFromLastMouseWheelEvent&&(zombieRowNodeFromLastMouseWheelEvent&&zombieRowNodeFromLastMouseWheelEvent!=o&&(options.enableAsyncPostRenderCleanup&&zombieRowPostProcessedFromLastMouseWheelEvent?queuePostProcessedRowForCleanup(zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent):$canvas[0].removeChild(zombieRowNodeFromLastMouseWheelEvent),zombieRowNodeFromLastMouseWheelEvent=null,zombieRowCacheFromLastMouseWheelEvent=null,zombieRowPostProcessedFromLastMouseWheelEvent=null,options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()),rowNodeFromLastMouseWheelEvent=o)}function handleDragInit(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragInit,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDragStart(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragStart,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDrag(e,o){return trigger(self.onDrag,o,e)}function handleDragEnd(e,o){trigger(self.onDragEnd,o,e)}function handleKeyDown(e){trigger(self.onKeyDown,{row:activeRow,cell:activeCell},e);var o=e.isImmediatePropagationStopped(),t=Slick.keyCode;if(!o&&!e.shiftKey&&!e.altKey){if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;e.which==t.HOME?o=e.ctrlKey?navigateTop():navigateRowStart():e.which==t.END&&(o=e.ctrlKey?navigateBottom():navigateRowEnd())}if(!o)if(e.shiftKey||e.altKey||e.ctrlKey)e.which!=t.TAB||!e.shiftKey||e.ctrlKey||e.altKey||(o=navigatePrev());else{if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;if(e.which==t.ESCAPE){if(!getEditorLock().isActive())return;cancelEditAndSetFocus()}else e.which==t.PAGE_DOWN?(navigatePageDown(),o=!0):e.which==t.PAGE_UP?(navigatePageUp(),o=!0):e.which==t.LEFT?o=navigateLeft():e.which==t.RIGHT?o=navigateRight():e.which==t.UP?o=navigateUp():e.which==t.DOWN?o=navigateDown():e.which==t.TAB?o=navigateNext():e.which==t.ENTER&&(options.editable&&(currentEditor?activeRow===getDataLength()?navigateDown():commitEditAndSetFocus():getEditorLock().commitCurrentEdit()&&makeActiveCellEditable(void 0,void 0,e)),o=!0)}if(o){e.stopPropagation(),e.preventDefault();try{e.originalEvent.keyCode=0}catch(e){}}}function handleClick(e){currentEditor||(e.target!=document.activeElement||$(e.target).hasClass(\"slick-cell\"))&&setFocus();var o=getCellFromEvent(e);if(o&&(null===currentEditor||activeRow!=o.row||activeCell!=o.cell)&&(trigger(self.onClick,{row:o.row,cell:o.cell},e),!e.isImmediatePropagationStopped()&&canCellBeActive(o.row,o.cell)&&(!getEditorLock().isActive()||getEditorLock().commitCurrentEdit()))){scrollRowIntoView(o.row,!1);var t=e.target&&e.target.className===Slick.preClickClassName,l=columns[o.cell],n=!!(options.editable&&l&&l.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(getCellNode(o.row,o.cell),null,t,n,e)}}function handleContextMenu(e){var o=$(e.target).closest(\".slick-cell\",$canvas);0!==o.length&&(activeCellNode===o[0]&&null!==currentEditor||trigger(self.onContextMenu,{},e))}function handleDblClick(e){var o=getCellFromEvent(e);!o||null!==currentEditor&&activeRow==o.row&&activeCell==o.cell||(trigger(self.onDblClick,{row:o.row,cell:o.cell},e),e.isImmediatePropagationStopped()||options.editable&&gotoCell(o.row,o.cell,!0,e))}function handleHeaderMouseEnter(e){trigger(self.onHeaderMouseEnter,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderMouseLeave(e){trigger(self.onHeaderMouseLeave,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderContextMenu(e){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");trigger(self.onHeaderContextMenu,{column:t},e)}function handleHeaderClick(e){if(!columnResizeDragging){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");t&&trigger(self.onHeaderClick,{column:t},e)}}function handleMouseEnter(e){trigger(self.onMouseEnter,{},e)}function handleMouseLeave(e){trigger(self.onMouseLeave,{},e)}function cellExists(e,o){return!(e<0||e>=getDataLength()||o<0||o>=columns.length)}function getCellFromPoint(e,o){for(var t=getRowFromPosition(o),l=0,n=0,r=0;r<columns.length&&n<e;r++)n+=columns[r].width,l++;return l<0&&(l=0),{row:t,cell:l-1}}function getCellFromNode(e){var o=/l\\d+/.exec(e.className);if(!o)throw new Error(\"getCellFromNode: cannot get cell - \"+e.className);return parseInt(o[0].substr(1,o[0].length-1),10)}function getRowFromNode(e){for(var o in rowsCache)if(rowsCache[o].rowNode===e)return 0|o;return null}function getCellFromEvent(e){var o=$(e.target).closest(\".slick-cell\",$canvas);if(!o.length)return null;var t=getRowFromNode(o[0].parentNode),l=getCellFromNode(o[0]);return null==t||null==l?null:{row:t,cell:l}}function getCellNodeBox(e,o){if(!cellExists(e,o))return null;for(var t=getRowTop(e),l=t+options.rowHeight-1,n=0,r=0;r<o;r++)n+=columns[r].width;return{top:t,left:n,bottom:l,right:n+columns[o].width}}function resetActiveCell(){setActiveCellInternal(null,!1)}function setFocus(){-1==tabbingDirection?$focusSink[0].focus():$focusSink2[0].focus()}function scrollCellIntoView(e,o,t){scrollRowIntoView(e,t);var l=getColspan(e,o);internalScrollColumnIntoView(columnPosLeft[o],columnPosRight[o+(l>1?l-1:0)])}function internalScrollColumnIntoView(e,o){var t=scrollLeft+viewportW;e<scrollLeft?($viewport.scrollLeft(e),handleScroll(),render()):o>t&&($viewport.scrollLeft(Math.min(e,o-$viewport[0].clientWidth)),handleScroll(),render())}function scrollColumnIntoView(e){internalScrollColumnIntoView(columnPosLeft[e],columnPosRight[e])}function setActiveCellInternal(e,o,t,l,n){null!==activeCellNode&&(makeActiveCellNormal(),$(activeCellNode).removeClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).removeClass(\"active\"));null!=(activeCellNode=e)?(activeRow=getRowFromNode(activeCellNode.parentNode),activeCell=activePosX=getCellFromNode(activeCellNode),null==o&&(o=activeRow==getDataLength()||options.autoEdit),options.showCellSelection&&($(activeCellNode).addClass(\"active\"),$(rowsCache[activeRow].rowNode).addClass(\"active\")),options.editable&&o&&isCellPotentiallyEditable(activeRow,activeCell)&&(clearTimeout(h_editorLoader),options.asyncEditorLoading?h_editorLoader=setTimeout((function(){makeActiveCellEditable(void 0,t,n)}),options.asyncEditorLoadDelay):makeActiveCellEditable(void 0,t,n))):activeRow=activeCell=null,l||trigger(self.onActiveCellChanged,getActiveCell())}function clearTextSelection(){if(document.selection&&document.selection.empty)try{document.selection.empty()}catch(e){}else if(window.getSelection){var e=window.getSelection();e&&e.removeAllRanges&&e.removeAllRanges()}}function isCellPotentiallyEditable(e,o){var t=getDataLength();return!(e<t&&!getDataItem(e))&&(!(columns[o].cannotTriggerInsert&&e>=t)&&!!getEditor(e,o))}function makeActiveCellNormal(){if(currentEditor){if(trigger(self.onBeforeCellEditorDestroy,{editor:currentEditor}),currentEditor.destroy(),currentEditor=null,activeCellNode){var e=getDataItem(activeRow);if($(activeCellNode).removeClass(\"editable invalid\"),e){var o=columns[activeCell];applyFormatResultToCellNode(getFormatter(activeRow,o)(activeRow,activeCell,getDataItemValueForColumn(e,o),o,e,self),activeCellNode),invalidatePostProcessingResults(activeRow)}}navigator.userAgent.toLowerCase().match(/msie/)&&clearTextSelection(),getEditorLock().deactivate(editController)}}function makeActiveCellEditable(e,o,t){if(activeCellNode){if(!options.editable)throw new Error(\"Grid : makeActiveCellEditable : should never get called when options.editable is false\");if(clearTimeout(h_editorLoader),isCellPotentiallyEditable(activeRow,activeCell)){var l=columns[activeCell],n=getDataItem(activeRow);if(!1!==trigger(self.onBeforeEditCell,{row:activeRow,cell:activeCell,item:n,column:l})){getEditorLock().activate(editController),$(activeCellNode).addClass(\"editable\");var r=e||getEditor(activeRow,activeCell);e||r.suppressClearOnEdit||(activeCellNode.innerHTML=\"\"),currentEditor=new r({grid:self,gridPosition:absBox($container[0]),position:absBox(activeCellNode),container:activeCellNode,column:l,item:n||{},event:t,commitChanges:commitEditAndSetFocus,cancelChanges:cancelEditAndSetFocus}),n&&(currentEditor.loadValue(n),o&&currentEditor.preClick&&currentEditor.preClick()),serializedEditorValue=currentEditor.serializeValue(),currentEditor.position&&handleActiveCellPositionChange()}else setFocus()}}}function commitEditAndSetFocus(){getEditorLock().commitCurrentEdit()&&(setFocus(),options.autoEdit&&navigateDown())}function cancelEditAndSetFocus(){getEditorLock().cancelCurrentEdit()&&setFocus()}function absBox(e){var o={top:e.offsetTop,left:e.offsetLeft,bottom:0,right:0,width:$(e).outerWidth(),height:$(e).outerHeight(),visible:!0};o.bottom=o.top+o.height,o.right=o.left+o.width;for(var t=e.offsetParent;(e=e.parentNode)!=document.body&&null!=e;)o.visible&&e.scrollHeight!=e.offsetHeight&&\"visible\"!=$(e).css(\"overflowY\")&&(o.visible=o.bottom>e.scrollTop&&o.top<e.scrollTop+e.clientHeight),o.visible&&e.scrollWidth!=e.offsetWidth&&\"visible\"!=$(e).css(\"overflowX\")&&(o.visible=o.right>e.scrollLeft&&o.left<e.scrollLeft+e.clientWidth),o.left-=e.scrollLeft,o.top-=e.scrollTop,e===t&&(o.left+=e.offsetLeft,o.top+=e.offsetTop,t=e.offsetParent),o.bottom=o.top+o.height,o.right=o.left+o.width;return o}function getActiveCellPosition(){return absBox(activeCellNode)}function getGridPosition(){return absBox($container[0])}function handleActiveCellPositionChange(){if(activeCellNode&&(trigger(self.onActiveCellPositionChanged,{}),currentEditor)){var e=getActiveCellPosition();currentEditor.show&&currentEditor.hide&&(e.visible?currentEditor.show():currentEditor.hide()),currentEditor.position&&currentEditor.position(e)}}function getCellEditor(){return currentEditor}function getActiveCell(){return activeCellNode?{row:activeRow,cell:activeCell}:null}function getActiveCellNode(){return activeCellNode}function scrollRowIntoView(e,o){var t=e*options.rowHeight,l=(e+1)*options.rowHeight-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0);(e+1)*options.rowHeight>scrollTop+viewportH+offset?(scrollTo(o?t:l),render()):e*options.rowHeight<scrollTop+offset&&(scrollTo(o?l:t),render())}function scrollRowToTop(e){scrollTo(e*options.rowHeight),render()}function scrollPage(e){var o=e*numVisibleRows;if(scrollTo((getRowFromPosition(scrollTop)+o)*options.rowHeight),render(),options.enableCellNavigation&&null!=activeRow){var t=activeRow+o,l=getDataLengthIncludingAddNew();t>=l&&(t=l-1),t<0&&(t=0);for(var n=0,r=null,i=activePosX;n<=activePosX;)canCellBeActive(t,n)&&(r=n),n+=getColspan(t,n);null!==r?(setActiveCellInternal(getCellNode(t,r)),activePosX=i):resetActiveCell()}}function navigatePageDown(){scrollPage(1)}function navigatePageUp(){scrollPage(-1)}function navigateTop(){navigateToRow(0)}function navigateBottom(){navigateToRow(getDataLength()-1)}function navigateToRow(e){var o=getDataLength();if(!o)return!0;if(e<0?e=0:e>=o&&(e=o-1),scrollCellIntoView(e,0,!0),options.enableCellNavigation&&null!=activeRow){for(var t=0,l=null,n=activePosX;t<=activePosX;)canCellBeActive(e,t)&&(l=t),t+=getColspan(e,t);null!==l?(setActiveCellInternal(getCellNode(e,l)),activePosX=n):resetActiveCell()}return!0}function getColspan(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e);if(!t||!t.columns)return 1;var l=t.columns[columns[o].id]||t.columns[o],n=l&&l.colspan;return n=\"*\"===n?columns.length-o:n||1}function findFirstFocusableCell(e){for(var o=0;o<columns.length;){if(canCellBeActive(e,o))return o;o+=getColspan(e,o)}return null}function findLastFocusableCell(e){for(var o=0,t=null;o<columns.length;)canCellBeActive(e,o)&&(t=o),o+=getColspan(e,o);return t}function gotoRight(e,o,t){if(o>=columns.length)return null;do{o+=getColspan(e,o)}while(o<columns.length&&!canCellBeActive(e,o));return o<columns.length?{row:e,cell:o,posX:o}:null}function gotoLeft(e,o,t){if(o<=0)return null;var l=findFirstFocusableCell(e);if(null===l||l>=o)return null;for(var n,r={row:e,cell:l,posX:l};;){if(!(n=gotoRight(r.row,r.cell,r.posX)))return null;if(n.cell>=o)return r;r=n}}function gotoDown(e,o,t){for(var l,n=getDataLengthIncludingAddNew();;){if(++e>=n)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoUp(e,o,t){for(var l;;){if(--e<0)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoNext(e,o,t){if(null==e&&null==o&&canCellBeActive(e=o=t=0,o))return{row:e,cell:o,posX:o};var l=gotoRight(e,o,t);if(l)return l;var n=null,r=getDataLengthIncludingAddNew();for(e===r-1&&e--;++e<r;)if(null!==(n=findFirstFocusableCell(e)))return{row:e,cell:n,posX:n};return null}function gotoPrev(e,o,t){if(null==e&&null==o&&canCellBeActive(e=getDataLengthIncludingAddNew()-1,o=t=columns.length-1))return{row:e,cell:o,posX:o};for(var l,n;!l&&!(l=gotoLeft(e,o,t));){if(--e<0)return null;o=0,null!==(n=findLastFocusableCell(e))&&(l={row:e,cell:n,posX:n})}return l}function gotoRowStart(e,o,t){var l=findFirstFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function gotoRowEnd(e,o,t){var l=findLastFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function navigateRight(){return navigate(\"right\")}function navigateLeft(){return navigate(\"left\")}function navigateDown(){return navigate(\"down\")}function navigateUp(){return navigate(\"up\")}function navigateNext(){return navigate(\"next\")}function navigatePrev(){return navigate(\"prev\")}function navigateRowStart(){return navigate(\"home\")}function navigateRowEnd(){return navigate(\"end\")}function navigate(e){if(!options.enableCellNavigation)return!1;if(!activeCellNode&&\"prev\"!=e&&\"next\"!=e)return!1;if(!getEditorLock().commitCurrentEdit())return!0;setFocus();tabbingDirection={up:-1,down:1,left:-1,right:1,prev:-1,next:1,home:-1,end:1}[e];var o=(0,{up:gotoUp,down:gotoDown,left:gotoLeft,right:gotoRight,prev:gotoPrev,next:gotoNext,home:gotoRowStart,end:gotoRowEnd}[e])(activeRow,activeCell,activePosX);if(o){var t=o.row==getDataLength();return scrollCellIntoView(o.row,o.cell,!t&&options.emulatePagingWhenScrolling),setActiveCellInternal(getCellNode(o.row,o.cell)),activePosX=o.posX,!0}return setActiveCellInternal(getCellNode(activeRow,activeCell)),!1}function getCellNode(e,o){return rowsCache[e]?(ensureCellNodesInRowsCache(e),rowsCache[e].cellNodesByColumnIdx[o]):null}function setActiveCell(e,o,t,l,n){initialized&&(e>getDataLength()||e<0||o>=columns.length||o<0||options.enableCellNavigation&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t,l,n)))}function canCellBeActive(e,o){if(!options.enableCellNavigation||e>=getDataLengthIncludingAddNew()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.focusable)return!!t.focusable;var l=t&&t.columns;return l&&l[columns[o].id]&&void 0!==l[columns[o].id].focusable?!!l[columns[o].id].focusable:l&&l[o]&&void 0!==l[o].focusable?!!l[o].focusable:!!columns[o].focusable}function canCellBeSelected(e,o){if(e>=getDataLength()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.selectable)return!!t.selectable;var l=t&&t.columns&&(t.columns[columns[o].id]||t.columns[o]);return l&&void 0!==l.selectable?!!l.selectable:!!columns[o].selectable}function gotoCell(e,o,t,l){initialized&&(canCellBeActive(e,o)&&getEditorLock().commitCurrentEdit()&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t||e===getDataLength()||options.autoEdit,null,options.editable,l),currentEditor||setFocus()))}function commitCurrentEdit(){var e=getDataItem(activeRow),o=columns[activeCell];if(currentEditor){if(currentEditor.isValueChanged()){var t=currentEditor.validate();if(t.valid){if(activeRow<getDataLength()){var l={row:activeRow,cell:activeCell,editor:currentEditor,serializedValue:currentEditor.serializeValue(),prevSerializedValue:serializedEditorValue,execute:function(){this.editor.applyValue(e,this.serializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})},undo:function(){this.editor.applyValue(e,this.prevSerializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})}};options.editCommandHandler?(makeActiveCellNormal(),options.editCommandHandler(e,o,l)):(l.execute(),makeActiveCellNormal())}else{var n={};currentEditor.applyValue(n,currentEditor.serializeValue()),makeActiveCellNormal(),trigger(self.onAddNewRow,{item:n,column:o})}return!getEditorLock().isActive()}return $(activeCellNode).removeClass(\"invalid\"),$(activeCellNode).width(),$(activeCellNode).addClass(\"invalid\"),trigger(self.onValidationError,{editor:currentEditor,cellNode:activeCellNode,validationResults:t,row:activeRow,cell:activeCell,column:o}),currentEditor.focus(),!1}makeActiveCellNormal()}return!0}function cancelCurrentEdit(){return makeActiveCellNormal(),!0}function rowsToRanges(e){for(var o=[],t=columns.length-1,l=0;l<e.length;l++)o.push(new Slick.Range(e[l],0,e[l],t));return o}function getSelectedRows(){if(!selectionModel)throw new Error(\"Selection model is not set\");return selectedRows}function setSelectedRows(e){if(!selectionModel)throw new Error(\"Selection model is not set\");self&&self.getEditorLock&&!self.getEditorLock().isActive()&&selectionModel.setSelectedRanges(rowsToRanges(e))}this.debug=function(){var e=\"\";e+=\"\\ncounter_rows_rendered:  \"+counter_rows_rendered,e+=\"\\ncounter_rows_removed:  \"+counter_rows_removed,e+=\"\\nrenderedRows:  \"+renderedRows,e+=\"\\nnumVisibleRows:  \"+numVisibleRows,e+=\"\\nmaxSupportedCssHeight:  \"+maxSupportedCssHeight,e+=\"\\nn(umber of pages):  \"+n,e+=\"\\n(current) page:  \"+page,e+=\"\\npage height (ph):  \"+ph,e+=\"\\nvScrollDir:  \"+vScrollDir,alert(e)},this.eval=function(expr){return eval(expr)},$.extend(this,{slickGridVersion:\"2.3.23\",onScroll:new Slick.Event,onSort:new Slick.Event,onHeaderMouseEnter:new Slick.Event,onHeaderMouseLeave:new Slick.Event,onHeaderContextMenu:new Slick.Event,onHeaderClick:new Slick.Event,onHeaderCellRendered:new Slick.Event,onBeforeHeaderCellDestroy:new Slick.Event,onHeaderRowCellRendered:new Slick.Event,onFooterRowCellRendered:new Slick.Event,onBeforeHeaderRowCellDestroy:new Slick.Event,onBeforeFooterRowCellDestroy:new Slick.Event,onMouseEnter:new Slick.Event,onMouseLeave:new Slick.Event,onClick:new Slick.Event,onDblClick:new Slick.Event,onContextMenu:new Slick.Event,onKeyDown:new Slick.Event,onAddNewRow:new Slick.Event,onBeforeAppendCell:new Slick.Event,onValidationError:new Slick.Event,onViewportChanged:new Slick.Event,onColumnsReordered:new Slick.Event,onColumnsResized:new Slick.Event,onCellChange:new Slick.Event,onBeforeEditCell:new Slick.Event,onBeforeCellEditorDestroy:new Slick.Event,onBeforeDestroy:new Slick.Event,onActiveCellChanged:new Slick.Event,onActiveCellPositionChanged:new Slick.Event,onDragInit:new Slick.Event,onDragStart:new Slick.Event,onDrag:new Slick.Event,onDragEnd:new Slick.Event,onSelectedRowsChanged:new Slick.Event,onCellCssStylesChanged:new Slick.Event,onAutosizeColumns:new Slick.Event,onRendered:new Slick.Event,registerPlugin,unregisterPlugin,getColumns,setColumns,getColumnIndex,updateColumnHeader,setSortColumn,setSortColumns,getSortColumns,autosizeColumns,getOptions,setOptions,getData,getDataLength,getDataItem,setData,getSelectionModel,setSelectionModel,getSelectedRows,setSelectedRows,getContainerNode,updatePagingStatusFromView,render,invalidate,invalidateRow,invalidateRows,invalidateAllRows,updateCell,updateRow,getViewport:getVisibleRange,getRenderedRange,resizeCanvas,updateRowCount,scrollRowIntoView,scrollRowToTop,scrollCellIntoView,scrollColumnIntoView,getCanvasNode,getUID,getHeaderColumnWidthDiff,getScrollbarDimensions,getHeadersWidth,getCanvasWidth,focus:setFocus,scrollTo,getCellFromPoint,getCellFromEvent,getActiveCell,setActiveCell,getActiveCellNode,getActiveCellPosition,resetActiveCell,editActiveCell:makeActiveCellEditable,getCellEditor,getCellNode,getCellNodeBox,canCellBeSelected,canCellBeActive,navigatePrev,navigateNext,navigateUp,navigateDown,navigateLeft,navigateRight,navigatePageUp,navigatePageDown,navigateTop,navigateBottom,navigateRowStart,navigateRowEnd,gotoCell,getTopPanel,setTopPanelVisibility,getPreHeaderPanel,setPreHeaderPanelVisibility,getHeader,getHeaderColumn,setHeaderRowVisibility,getHeaderRow,getHeaderRowColumn,setFooterRowVisibility,getFooterRow,getFooterRowColumn,getGridPosition,flashCell,addCellCssStyles,setCellCssStyles,removeCellCssStyles,getCellCssStyles,init:finishInitialization,destroy,getEditorLock,getEditController}),init()}module.exports={Grid:SlickGrid}},\n",
+       "      450: function _(t,e,a){\n",
+       "      /*!\n",
+       "           * jquery.event.drag - v 2.3.0\n",
+       "           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n",
+       "           * Open Source MIT License - http://threedubmedia.com/code/license\n",
+       "           */\n",
+       "      var n=t(443);n.fn.drag=function(t,e,a){var r=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==r.indexOf(\"drag\")&&(r=\"drag\"+r),a=(t==o?e:a)||{},o?this.on(r,a,o):this.trigger(r)};var r=n.event,o=r.special,i=o.drag={defaults:{which:1,distance:0,not:\":input\",handle:null,relative:!1,drop:!0,click:!1},datakey:\"dragdata\",noBubble:!0,add:function(t){var e=n.data(this,i.datakey),a=t.data||{};e.related+=1,n.each(i.defaults,(function(t,n){void 0!==a[t]&&(e[t]=a[t])}))},remove:function(){n.data(this,i.datakey).related-=1},setup:function(){if(!n.data(this,i.datakey)){var t=n.extend({related:0},i.defaults);n.data(this,i.datakey,t),r.add(this,\"touchstart mousedown\",i.init,t),this.attachEvent&&this.attachEvent(\"ondragstart\",i.dontstart)}},teardown:function(){(n.data(this,i.datakey)||{}).related||(n.removeData(this,i.datakey),r.remove(this,\"touchstart mousedown\",i.init),i.textselect(!0),this.detachEvent&&this.detachEvent(\"ondragstart\",i.dontstart))},init:function(t){if(!i.touched){var e,a=t.data;if(!(0!=t.which&&a.which>0&&t.which!=a.which)&&!n(t.target).is(a.not)&&(!a.handle||n(t.target).closest(a.handle,t.currentTarget).length)&&(i.touched=\"touchstart\"==t.type?this:null,a.propagates=1,a.mousedown=this,a.interactions=[i.interaction(this,a)],a.target=t.target,a.pageX=t.pageX,a.pageY=t.pageY,a.dragging=null,e=i.hijack(t,\"draginit\",a),a.propagates))return(e=i.flatten(e))&&e.length&&(a.interactions=[],n.each(e,(function(){a.interactions.push(i.interaction(this,a))}))),a.propagates=a.interactions.length,!1!==a.drop&&o.drop&&o.drop.handler(t,a),i.textselect(!1),i.touched?r.add(i.touched,\"touchmove touchend\",i.handler,a):r.add(document,\"mousemove mouseup\",i.handler,a),!(!i.touched||a.live)&&void 0}},interaction:function(t,e){var a=t&&t.ownerDocument&&n(t)[e.relative?\"position\":\"offset\"]()||{top:0,left:0};return{drag:t,callback:new i.callback,droppable:[],offset:a}},handler:function(t){var e=t.data;switch(t.type){case!e.dragging&&\"touchmove\":t.preventDefault();case!e.dragging&&\"mousemove\":if(Math.pow(t.pageX-e.pageX,2)+Math.pow(t.pageY-e.pageY,2)<Math.pow(e.distance,2))break;t.target=e.target,i.hijack(t,\"dragstart\",e),e.propagates&&(e.dragging=!0);case\"touchmove\":t.preventDefault();case\"mousemove\":if(e.dragging){if(i.hijack(t,\"drag\",e),e.propagates){!1!==e.drop&&o.drop&&o.drop.handler(t,e);break}t.type=\"mouseup\"}case\"touchend\":case\"mouseup\":default:i.touched?r.remove(i.touched,\"touchmove touchend\",i.handler):r.remove(document,\"mousemove mouseup\",i.handler),e.dragging&&(!1!==e.drop&&o.drop&&o.drop.handler(t,e),i.hijack(t,\"dragend\",e)),i.textselect(!0),!1===e.click&&e.dragging&&n.data(e.mousedown,\"suppress.click\",(new Date).getTime()+5),e.dragging=i.touched=!1}},hijack:function(t,e,a,o,d){if(a){var s,c,l,p={event:t.originalEvent,type:t.type},u=e.indexOf(\"drop\")?\"drag\":\"drop\",g=o||0,h=isNaN(o)?a.interactions.length:o;t.type=e;var f=function(){};t.originalEvent=new n.Event(p.event,{preventDefault:f,stopPropagation:f,stopImmediatePropagation:f}),a.results=[];do{if(c=a.interactions[g]){if(\"dragend\"!==e&&c.cancelled)continue;l=i.properties(t,a,c),c.results=[],n(d||c[u]||a.droppable).each((function(o,d){if(l.target=d,t.isPropagationStopped=function(){return!1},!1===(s=d?r.dispatch.call(d,t,l):null)?(\"drag\"==u&&(c.cancelled=!0,a.propagates-=1),\"drop\"==e&&(c[u][o]=null)):\"dropinit\"==e&&c.droppable.push(i.element(s)||d),\"dragstart\"==e&&(c.proxy=n(i.element(s)||c.drag)[0]),c.results.push(s),delete t.result,\"dropinit\"!==e)return s})),a.results[g]=i.flatten(c.results),\"dropinit\"==e&&(c.droppable=i.flatten(c.droppable)),\"dragstart\"!=e||c.cancelled||l.update()}}while(++g<h);return t.type=p.type,t.originalEvent=p.event,i.flatten(a.results)}},properties:function(t,e,a){var n=a.callback;return n.drag=a.drag,n.proxy=a.proxy||a.drag,n.startX=e.pageX,n.startY=e.pageY,n.deltaX=t.pageX-e.pageX,n.deltaY=t.pageY-e.pageY,n.originalX=a.offset.left,n.originalY=a.offset.top,n.offsetX=n.originalX+n.deltaX,n.offsetY=n.originalY+n.deltaY,n.drop=i.flatten((a.drop||[]).slice()),n.available=i.flatten((a.droppable||[]).slice()),n},element:function(t){if(t&&(t.jquery||1==t.nodeType))return t},flatten:function(t){return n.map(t,(function(t){return t&&t.jquery?n.makeArray(t):t&&t.length?i.flatten(t):t}))},textselect:function(t){n(document)[t?\"off\":\"on\"](\"selectstart\",i.dontstart).css(\"MozUserSelect\",t?\"\":\"none\"),document.unselectable=t?\"off\":\"on\"},dontstart:function(){return!1},callback:function(){}};i.callback.prototype={update:function(){o.drop&&this.available.length&&n.each(this.available,(function(t){o.drop.locate(this,t)}))}};var d=r.dispatch;r.dispatch=function(t){if(!(n.data(this,\"suppress.\"+t.type)-(new Date).getTime()>0))return d.apply(this,arguments);n.removeData(this,\"suppress.\"+t.type)},o.draginit=o.dragstart=o.dragend=i},\n",
+       "      451: function _(t,e,a){\n",
+       "      /*!\n",
+       "           * jquery.event.drop - v 2.3.0\n",
+       "           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n",
+       "           * Open Source MIT License - http://threedubmedia.com/code/license\n",
+       "           */\n",
+       "      var n=t(443);n.fn.drop=function(t,e,a){var i=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==i.indexOf(\"drop\")&&(i=\"drop\"+i),a=(t==o?e:a)||{},o?this.on(i,a,o):this.trigger(i)},n.drop=function(t){t=t||{},o.multi=!0===t.multi?1/0:!1===t.multi?1:isNaN(t.multi)?o.multi:t.multi,o.delay=t.delay||o.delay,o.tolerance=n.isFunction(t.tolerance)?t.tolerance:null===t.tolerance?null:o.tolerance,o.mode=t.mode||o.mode||\"intersect\"};var i=n.event.special,o=n.event.special.drop={multi:1,delay:20,mode:\"overlap\",targets:[],datakey:\"dropdata\",noBubble:!0,add:function(t){n.data(this,o.datakey).related+=1},remove:function(){n.data(this,o.datakey).related-=1},setup:function(){if(!n.data(this,o.datakey)){n.data(this,o.datakey,{related:0,active:[],anyactive:0,winner:0,location:{}}),o.targets.push(this)}},teardown:function(){if(!(n.data(this,o.datakey)||{}).related){n.removeData(this,o.datakey);var t=this;o.targets=n.grep(o.targets,(function(e){return e!==t}))}},handler:function(t,e){var a;if(e)switch(t.type){case\"mousedown\":case\"touchstart\":a=n(o.targets),\"string\"==typeof e.drop&&(a=a.filter(e.drop)),a.each((function(){var t=n.data(this,o.datakey);t.active=[],t.anyactive=0,t.winner=0})),e.droppable=a,i.drag.hijack(t,\"dropinit\",e);break;case\"mousemove\":case\"touchmove\":o.event=t,o.timer||o.tolerate(e);break;case\"mouseup\":case\"touchend\":o.timer=clearTimeout(o.timer),e.propagates&&(i.drag.hijack(t,\"drop\",e),i.drag.hijack(t,\"dropend\",e))}},locate:function(t,e){var a=n.data(t,o.datakey),i=n(t),r=i.offset()||{},d=i.outerHeight(),l=i.outerWidth(),c={elem:t,width:l,height:d,top:r.top,left:r.left,right:r.left+l,bottom:r.top+d};return a&&(a.location=c,a.index=e,a.elem=t),c},contains:function(t,e){return(e[0]||e.left)>=t.left&&(e[0]||e.right)<=t.right&&(e[1]||e.top)>=t.top&&(e[1]||e.bottom)<=t.bottom},modes:{intersect:function(t,e,a){return this.contains(a,[t.pageX,t.pageY])?1e9:this.modes.overlap.apply(this,arguments)},overlap:function(t,e,a){return Math.max(0,Math.min(a.bottom,e.bottom)-Math.max(a.top,e.top))*Math.max(0,Math.min(a.right,e.right)-Math.max(a.left,e.left))},fit:function(t,e,a){return this.contains(a,e)?1:0},middle:function(t,e,a){return this.contains(a,[e.left+.5*e.width,e.top+.5*e.height])?1:0}},sort:function(t,e){return e.winner-t.winner||t.index-e.index},tolerate:function(t){var e,a,r,d,l,c,s,u,p=0,h=t.interactions.length,m=[o.event.pageX,o.event.pageY],f=o.tolerance||o.modes[o.mode];do{if(u=t.interactions[p]){if(!u)return;u.drop=[],l=[],c=u.droppable.length,f&&(r=o.locate(u.proxy)),e=0;do{if(s=u.droppable[e]){if(!(a=(d=n.data(s,o.datakey)).location))continue;d.winner=f?f.call(o,o.event,r,a):o.contains(a,m)?1:0,l.push(d)}}while(++e<c);l.sort(o.sort),e=0;do{(d=l[e])&&(d.winner&&u.drop.length<o.multi?(d.active[p]||d.anyactive||(!1!==i.drag.hijack(o.event,\"dropstart\",t,p,d.elem)[0]?(d.active[p]=1,d.anyactive+=1):d.winner=0),d.winner&&u.drop.push(d.elem)):d.active[p]&&1==d.anyactive&&(i.drag.hijack(o.event,\"dropend\",t,p,d.elem),d.active[p]=0,d.anyactive-=1))}while(++e<c)}}while(++p<h);o.last&&m[0]==o.last.pageX&&m[1]==o.last.pageY?delete o.timer:o.timer=setTimeout((function(){o.tolerate(t)}),o.delay),o.last=o.event}};i.dropinit=i.dropstart=i.dropend=o},\n",
+       "      452: function _(t,e,n){var r=t(443),i=t(445);var o={Avg:function(t){this.field_=t,this.init=function(){this.count_=0,this.nonNullCount_=0,this.sum_=0},this.accumulate=function(t){var e=t[this.field_];this.count_++,null==e||\"\"===e||isNaN(e)||(this.nonNullCount_++,this.sum_+=parseFloat(e))},this.storeResult=function(t){t.avg||(t.avg={}),0!=this.nonNullCount_&&(t.avg[this.field_]=this.sum_/this.nonNullCount_)}},Min:function(t){this.field_=t,this.init=function(){this.min_=null},this.accumulate=function(t){var e=t[this.field_];null==e||\"\"===e||isNaN(e)||(null==this.min_||e<this.min_)&&(this.min_=e)},this.storeResult=function(t){t.min||(t.min={}),t.min[this.field_]=this.min_}},Max:function(t){this.field_=t,this.init=function(){this.max_=null},this.accumulate=function(t){var e=t[this.field_];null==e||\"\"===e||isNaN(e)||(null==this.max_||e>this.max_)&&(this.max_=e)},this.storeResult=function(t){t.max||(t.max={}),t.max[this.field_]=this.max_}},Sum:function(t){this.field_=t,this.init=function(){this.sum_=null},this.accumulate=function(t){var e=t[this.field_];null==e||\"\"===e||isNaN(e)||(this.sum_+=parseFloat(e))},this.storeResult=function(t){t.sum||(t.sum={}),t.sum[this.field_]=this.sum_}}};e.exports={DataView:function(t){var e,n,o,a,l,s=this,u=\"id\",g=[],c=[],f={},p=null,h=null,d=null,m=!1,v=!0,_={},w={},$=[],y=[],I={getter:null,formatter:null,comparer:function(t,e){return t.value===e.value?0:t.value>e.value?1:-1},predefinedValues:[],aggregators:[],aggregateEmpty:!1,aggregateCollapsed:!1,aggregateChildGroups:!1,collapsed:!1,displayTotalsRow:!0,lazyTotalsCalculation:!1},C=[],R=[],x=[],b=0,M=0,F=0,A=new i.Event,S=new i.Event,N=new i.Event;function E(t){for(var e,n=t=t||0,r=g.length;n<r;n++){if(void 0===(e=g[n][u]))throw new Error(\"Each data element must implement a unique 'id' property\");f[e]=n}}function T(){var t=b?Math.max(1,Math.ceil(F/b)):1;return{pageSize:b,pageNum:M,totalRows:F,totalPages:t,dataView:s}}function G(t,r){v=r,n=t,e=null,!1===r&&g.reverse(),g.sort(t),!1===r&&g.reverse(),f={},E(),Z()}function D(t,r){v=r,e=t,n=null;var i=Object.prototype.toString;Object.prototype.toString=\"function\"==typeof t?t:function(){return this[t]},!1===r&&g.reverse(),g.sort(),Object.prototype.toString=i,!1===r&&g.reverse(),f={},E(),Z()}function P(e){t.groupItemMetadataProvider||(t.groupItemMetadataProvider=new i.Data.GroupItemMetadataProvider),R=[],x=[],C=(e=e||[])instanceof Array?e:[e];for(var n=0;n<C.length;n++){var o=C[n]=r.extend(!0,{},I,C[n]);o.getterIsAFn=\"function\"==typeof o.getter,o.compiledAccumulators=[];for(var a=o.aggregators.length;a--;)o.compiledAccumulators[a]=W(o.aggregators[a]);x[n]={}}Z()}function j(){if(!p){p={};for(var t=0,e=c.length;t<e;t++)p[c[t][u]]=t}}function z(t){return g[f[t]]}function B(t,e){if(void 0===f[t]||t!==e[u])throw new Error(\"Invalid or non-matching id\");g[f[t]]=e,d||(d={}),d[t]=!0,Z()}function V(t,e){g.splice(t,0,e),E(t),Z()}function O(t){var e=f[t];if(void 0===e)throw new Error(\"Invalid id\");delete f[t],g.splice(e,1),E(e),Z()}function q(t){if(!n)throw new Error(\"sortedAddItem() requires a sort comparer, use sort()\");V(function(t){var e=0,r=g.length;for(;e<r;){var i=e+r>>>1;-1===n(g[i],t)?e=i+1:r=i}return e}(t),t)}function K(t,e){if(null==t)for(var n=0;n<C.length;n++)x[n]={},C[n].collapsed=e;else x[t]={},C[t].collapsed=e;Z()}function U(t,e,n){x[t][e]=C[t].collapsed^n,Z()}function L(t){var e,n=t.group,r=C[n.level],i=n.level==C.length,o=r.aggregators.length;if(!i&&r.aggregateChildGroups)for(var a=n.groups.length;a--;)n.groups[a].totals.initialized||L(n.groups[a].totals);for(;o--;)(e=r.aggregators[o]).init(),!i&&r.aggregateChildGroups?r.compiledAccumulators[o].call(e,n.groups):r.compiledAccumulators[o].call(e,n.rows),e.storeResult(t);t.initialized=!0}function k(t){var e=C[t.level],n=new i.GroupTotals;n.group=t,t.totals=n,e.lazyTotalsCalculation||L(n)}function H(t){var e=t.toString().match(/^function[^(]*\\(([^)]*)\\)\\s*{([\\s\\S]*)}$/);return{params:e[1].split(\",\"),body:e[2]}}function W(t){var e=H(t.accumulate),n=new Function(\"_items\",\"for (var \"+e.params[0]+\", _i=0, _il=_items.length; _i<_il; _i++) {\"+e.params[0]+\" = _items[_i]; \"+e.body+\"}\");return n.displayName=n.name=\"compiledAccumulatorLoop\",n}function J(t,e){for(var n=[],r=0,i=0,o=t.length;i<o;i++)h(t[i],e)&&(n[r++]=t[i]);return n}function Q(t,e,n){for(var r,i=[],o=0,a=0,l=t.length;a<l;a++)r=t[a],n[a]?i[o++]=r:h(r,e)&&(i[o++]=r,n[a]=!0);return i}function X(e){if(h){var n=t.inlineFilters?a:J,r=t.inlineFilters?l:Q;_.isFilterNarrowing?$=n($,o):_.isFilterExpanding?$=r(e,o,y):_.isFilterUnchanged||($=n(e,o))}else $=b?e:e.concat();var i;return b?($.length<=M*b&&(M=0===$.length?0:Math.floor(($.length-1)/b)),i=$.slice(b*M,b*M+b)):i=$,{totalRows:$.length,rows:i}}function Y(t){p=null,_.isFilterNarrowing==w.isFilterNarrowing&&_.isFilterExpanding==w.isFilterExpanding||(y=[]);var e=X(t);F=e.totalRows;var n=e.rows;R=[],C.length&&(R=function t(e,n){for(var r,o,a,l=[],s={},u=n?n.level+1:0,g=C[u],c=0,f=g.predefinedValues.length;c<f;c++)(r=s[o=g.predefinedValues[c]])||((r=new i.Group).value=o,r.level=u,r.groupingKey=(n?n.groupingKey+\":|:\":\"\")+o,l[l.length]=r,s[o]=r);for(c=0,f=e.length;c<f;c++)a=e[c],(r=s[o=g.getterIsAFn?g.getter(a):a[g.getter]])||((r=new i.Group).value=o,r.level=u,r.groupingKey=(n?n.groupingKey+\":|:\":\"\")+o,l[l.length]=r,s[o]=r),r.rows[r.count++]=a;if(u<C.length-1)for(c=0;c<l.length;c++)(r=l[c]).groups=t(r.rows,r);return l.sort(C[u].comparer),l}(n)).length&&(!function t(e,n){for(var r,i=C[n=n||0],o=i.collapsed,a=x[n],l=e.length;l--;)(r=e[l]).collapsed&&!i.aggregateCollapsed||(r.groups&&t(r.groups,n+1),i.aggregators.length&&(i.aggregateEmpty||r.rows.length||r.groups&&r.groups.length)&&k(r),r.collapsed=o^a[r.groupingKey],r.title=i.formatter?i.formatter(r):r.value)}(R),n=function t(e,n){for(var r,i,o=C[n=n||0],a=[],l=0,s=0,u=e.length;s<u;s++){if(i=e[s],a[l++]=i,!i.collapsed)for(var g=0,c=(r=i.groups?t(i.groups,n+1):i.rows).length;g<c;g++)a[l++]=r[g];i.totals&&o.displayTotalsRow&&(!i.collapsed||o.aggregateCollapsed)&&(a[l++]=i.totals)}return a}(R));var r=function(t,e){var n,r,i,o=[],a=0,l=e.length;_&&_.ignoreDiffsBefore&&(a=Math.max(0,Math.min(e.length,_.ignoreDiffsBefore))),_&&_.ignoreDiffsAfter&&(l=Math.min(e.length,Math.max(0,_.ignoreDiffsAfter)));for(var s=a,g=t.length;s<l;s++)s>=g?o[o.length]=s:(n=e[s],r=t[s],(C.length&&(i=n.__nonDataRow||r.__nonDataRow)&&n.__group!==r.__group||n.__group&&!n.equals(r)||i&&(n.__groupTotals||r.__groupTotals)||n[u]!=r[u]||d&&d[n[u]])&&(o[o.length]=s));return o}(c,n);return c=n,r}function Z(){if(!m){var t=c.length,e=F,n=Y(g);b&&F<M*b&&(M=Math.max(0,Math.ceil(F/b)-1),n=Y(g)),d=null,w=_,_={},e!==F&&N.notify(T(),null,s),t!==c.length&&A.notify({previous:t,current:c.length,dataView:s},null,s),n.length>0&&S.notify({rows:n,dataView:s},null,s)}}t=r.extend(!0,{},{groupItemMetadataProvider:null,inlineFilters:!1},t),r.extend(this,{beginUpdate:function(){m=!0},endUpdate:function(){m=!1,Z()},setPagingOptions:function(t){null!=t.pageSize&&(b=t.pageSize,M=b?Math.min(M,Math.max(0,Math.ceil(F/b)-1)):0),null!=t.pageNum&&(M=Math.min(t.pageNum,Math.max(0,Math.ceil(F/b)-1))),N.notify(T(),null,s),Z()},getPagingInfo:T,getItems:function(){return g},setItems:function(t,e){void 0!==e&&(u=e),g=$=t,f={},E(),function(){for(var t,e=0,n=g.length;e<n;e++)if(void 0===(t=g[e][u])||f[t]!==e)throw new Error(\"Each data element must implement a unique 'id' property\")}(),Z()},setFilter:function(e){h=e,t.inlineFilters&&(a=function(){var t=H(h),e=\"{ _retval[_idx++] = $item$; 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}$1\").replace(/return true\\s*([;}]|\\}|$)/gi,e).replace(/return!0([;}]|\\}|$)/gi,e).replace(/return ([^;}]+?)\\s*([;}]|$)/gi,\"{ if ((_cache[_i] = $1)) { _retval[_idx++] = $item$; }; continue _coreloop; }$2\"),r=[\"var _retval = [], _idx = 0; \",\"var $item$, $args$ = _args; \",\"_coreloop: \",\"for (var _i = 0, _il = _items.length; _i < _il; _i++) { \",\"$item$ = _items[_i]; \",\"if (_cache[_i]) { \",\"_retval[_idx++] = $item$; \",\"continue _coreloop; \",\"} \",\"$filter$; \",\"} \",\"return _retval; \"].join(\"\");r=(r=(r=r.replace(/\\$filter\\$/gi,n)).replace(/\\$item\\$/gi,t.params[0])).replace(/\\$args\\$/gi,t.params[1]);var i=new Function(\"_items,_args,_cache\",r);return i.displayName=i.name=\"compiledFilterWithCaching\",i}()),Z()},getFilter:function(){return h},getFilteredItems:function(){return $},sort:G,fastSort:D,reSort:function(){n?G(n,v):e&&D(e,v)},setGrouping:P,getGrouping:function(){return C},groupBy:function(t,e,n){P(null!=t?{getter:t,formatter:e,comparer:n}:[])},setAggregators:function(t,e){if(!C.length)throw new Error(\"At least one grouping must be specified before calling setAggregators().\");C[0].aggregators=t,C[0].aggregateCollapsed=e,P(C)},collapseAllGroups:function(t){K(t,!0)},expandAllGroups:function(t){K(t,!1)},collapseGroup:function(t){var e=Array.prototype.slice.call(arguments),n=e[0];1==e.length&&-1!=n.indexOf(\":|:\")?U(n.split(\":|:\").length-1,n,!0):U(e.length-1,e.join(\":|:\"),!0)},expandGroup:function(t){var e=Array.prototype.slice.call(arguments),n=e[0];1==e.length&&-1!=n.indexOf(\":|:\")?U(n.split(\":|:\").length-1,n,!1):U(e.length-1,e.join(\":|:\"),!1)},getGroups:function(){return R},getIdxById:function(t){return f[t]},getRowByItem:function(t){return j(),p[t[u]]},getRowById:function(t){return j(),p[t]},getItemById:z,getItemByIdx:function(t){return g[t]},mapItemsToRows:function(t){var e=[];j();for(var n=0,r=t.length;n<r;n++){var i=p[t[n][u]];null!=i&&(e[e.length]=i)}return e},mapRowsToIds:function(t){for(var e=[],n=0,r=t.length;n<r;n++)t[n]<c.length&&(e[e.length]=c[t[n]][u]);return e},mapIdsToRows:function(t){var e=[];j();for(var n=0,r=t.length;n<r;n++){var i=p[t[n]];null!=i&&(e[e.length]=i)}return e},setRefreshHints:function(t){_=t},setFilterArgs:function(t){o=t},refresh:Z,updateItem:B,insertItem:V,addItem:function(t){g.push(t),E(g.length-1),Z()},deleteItem:O,sortedAddItem:q,sortedUpdateItem:function(t,e){if(void 0===f[t]||t!==e[u])throw new Error(\"Invalid or non-matching id \"+f[t]);if(!n)throw new Error(\"sortedUpdateItem() requires a sort comparer, use sort()\");var r=z(t);0!==n(r,e)?(O(t),q(e)):B(t,e)},syncGridSelection:function(t,e,n){var o,a=this,l=a.mapRowsToIds(t.getSelectedRows()),s=new i.Event;function u(e){l.join(\",\")!=e.join(\",\")&&(l=e,s.notify({grid:t,ids:l,dataView:a},new i.EventData,a))}function g(){if(l.length>0){o=!0;var n=a.mapIdsToRows(l);e||u(a.mapRowsToIds(n)),t.setSelectedRows(n),o=!1}}return t.onSelectedRowsChanged.subscribe((function(e,i){if(!o){var s=a.mapRowsToIds(t.getSelectedRows());if(n&&t.getOptions().multiSelect)u(r.grep(l,(function(t){return void 0===a.getRowById(t)})).concat(s));else u(s)}})),this.onRowsChanged.subscribe(g),this.onRowCountChanged.subscribe(g),s},syncGridCellCssStyles:function(t,e){var n,r;function i(t){for(var e in n={},t){var r=c[e][u];n[r]=t[e]}}function o(){if(n){r=!0,j();var i={};for(var o in n){var a=p[o];null!=a&&(i[a]=n[o])}t.setCellCssStyles(e,i),r=!1}}i(t.getCellCssStyles(e)),t.onCellCssStylesChanged.subscribe((function(n,a){r||e==a.key&&(a.hash?i(a.hash):(t.onCellCssStylesChanged.unsubscribe(styleChanged),s.onRowsChanged.unsubscribe(o),s.onRowCountChanged.unsubscribe(o)))})),this.onRowsChanged.subscribe(o),this.onRowCountChanged.subscribe(o)},getLength:function(){return c.length},getItem:function(t){var e=c[t];if(e&&e.__group&&e.totals&&!e.totals.initialized){var n=C[e.level];n.displayTotalsRow||(L(e.totals),e.title=n.formatter?n.formatter(e):e.value)}else e&&e.__groupTotals&&!e.initialized&&L(e);return e},getItemMetadata:function(e){var n=c[e];return void 0===n?null:n.__group?t.groupItemMetadataProvider.getGroupRowMetadata(n):n.__groupTotals?t.groupItemMetadataProvider.getTotalsRowMetadata(n):null},onRowCountChanged:A,onRowsChanged:S,onPagingInfoChanged:N})},Aggregators:o,Data:{Aggregators:o}}},\n",
+       "      453: function _(e,t,i){var n=e(443),o=e(445);function l(e){var t,i;function o(){var t=e.column.editorFixedDecimalPlaces;return void 0===t&&(t=l.DefaultDecimalPlaces),t||0===t?t:null}this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field];var l=o();null!==l&&(i||0===i)&&i.toFixed&&(i=i.toFixed(l)),t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){var e=parseFloat(t.val());l.AllowEmptyValue?e||0===e||(e=\"\"):e=e||0;var i=o();return null!==i&&(e||0===e)&&e.toFixed&&(e=parseFloat(e.toFixed(i))),e},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid number\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}function a(e){var t=this.selectionStart,i=this.value.length;(e.keyCode===n.ui.keyCode.LEFT&&t>0||e.keyCode===n.ui.keyCode.RIGHT&&t<i-1)&&e.stopImmediatePropagation()}function s(e){e.keyCode!==n.ui.keyCode.LEFT&&e.keyCode!==n.ui.keyCode.RIGHT||e.stopImmediatePropagation()}l.DefaultDecimalPlaces=null,l.AllowEmptyValue=!1,t.exports={Editors:{Text:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.getValue=function(){return t.val()},this.setValue=function(e){t.val(e)},this.loadValue=function(n){i=n[e.column.field]||\"\",t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Integer:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid integer\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Float:l,Date:function(e){var t,i,o=!1;this.init=function(){(t=n(\"<INPUT type=text class='editor-text' />\")).appendTo(e.container),t.focus().select(),t.datepicker({showOn:\"button\",buttonImageOnly:!0,beforeShow:function(){o=!0},onClose:function(){o=!1}}),t.width(t.width()-18)},this.destroy=function(){n.datepicker.dpDiv.stop(!0,!0),t.datepicker(\"hide\"),t.datepicker(\"destroy\"),t.remove()},this.show=function(){o&&n.datepicker.dpDiv.stop(!0,!0).show()},this.hide=function(){o&&n.datepicker.dpDiv.stop(!0,!0).hide()},this.position=function(e){o&&n.datepicker.dpDiv.css(\"top\",e.top+30).css(\"left\",e.left)},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},YesNoSelect:function(e){var t,i;this.init=function(){(t=n(\"<SELECT tabIndex='0' class='editor-yesno'><OPTION value='yes'>Yes</OPTION><OPTION value='no'>No</OPTION></SELECT>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){t.val((i=n[e.column.field])?\"yes\":\"no\"),t.select()},this.serializeValue=function(){return\"yes\"==t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return t.val()!=i},this.validate=function(){return{valid:!0,msg:null}},this.init()},Checkbox:function(e){var t,i;this.init=function(){(t=n(\"<INPUT type=checkbox value='true' class='editor-checkbox' hideFocus>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){(i=!!n[e.column.field])?t.prop(\"checked\",!0):t.prop(\"checked\",!1)},this.preClick=function(){t.prop(\"checked\",!t.prop(\"checked\"))},this.serializeValue=function(){return t.prop(\"checked\")},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return this.serializeValue()!==i},this.validate=function(){return{valid:!0,msg:null}},this.init()},PercentComplete:function(e){var t,i,o;this.init=function(){(t=n(\"<INPUT type=text class='editor-percentcomplete' />\")).width(n(e.container).innerWidth()-25),t.appendTo(e.container),(i=n(\"<div class='editor-percentcomplete-picker' />\").appendTo(e.container)).append(\"<div class='editor-percentcomplete-helper'><div class='editor-percentcomplete-wrapper'><div class='editor-percentcomplete-slider' /><div class='editor-percentcomplete-buttons' /></div></div>\"),i.find(\".editor-percentcomplete-buttons\").append(\"<button val=0>Not started</button><br/><button val=50>In Progress</button><br/><button val=100>Complete</button>\"),t.focus().select(),i.find(\".editor-percentcomplete-slider\").slider({orientation:\"vertical\",range:\"min\",value:o,slide:function(e,i){t.val(i.value)}}),i.find(\".editor-percentcomplete-buttons button\").on(\"click\",(function(e){t.val(n(this).attr(\"val\")),i.find(\".editor-percentcomplete-slider\").slider(\"value\",n(this).attr(\"val\"))}))},this.destroy=function(){t.remove(),i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(o=i[e.column.field]),t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==o)&&(parseInt(t.val(),10)||0)!=o},this.validate=function(){return isNaN(parseInt(t.val(),10))?{valid:!1,msg:\"Please enter a valid positive number\"}:{valid:!0,msg:null}},this.init()},LongText:function(e){var t,i,l,a=this;this.init=function(){var o=n(\"body\");e.grid.getOptions().editorCellNavOnLRKeys;i=n(\"<DIV style='z-index:10000;position:absolute;background:white;padding:5px;border:3px solid gray; -moz-border-radius:10px; border-radius:10px;'/>\").appendTo(o),t=n(\"<TEXTAREA hidefocus rows=5 style='background:white;width:250px;height:80px;border:0;outline:0'>\").appendTo(i),n(\"<DIV style='text-align:right'><BUTTON>Save</BUTTON><BUTTON>Cancel</BUTTON></DIV>\").appendTo(i),i.find(\"button:first\").on(\"click\",this.save),i.find(\"button:last\").on(\"click\",this.cancel),t.on(\"keydown\",this.handleKeyDown),a.position(e.position),t.focus().select()},this.handleKeyDown=function(t){if(t.which==o.keyCode.ENTER&&t.ctrlKey)a.save();else if(t.which==o.keyCode.ESCAPE)t.preventDefault(),a.cancel();else if(t.which==o.keyCode.TAB&&t.shiftKey)t.preventDefault(),e.grid.navigatePrev();else if(t.which==o.keyCode.TAB)t.preventDefault(),e.grid.navigateNext();else if((t.which==n.ui.keyCode.LEFT||t.which==n.ui.keyCode.RIGHT)&&e.grid.getOptions().editorCellNavOnLRKeys){var i=this.selectionStart,l=this.value.length;t.keyCode===n.ui.keyCode.LEFT&&0===i&&e.grid.navigatePrev(),t.keyCode===n.ui.keyCode.RIGHT&&i>=l-1&&e.grid.navigateNext()}},this.save=function(){e.commitChanges()},this.cancel=function(){t.val(l),e.cancelChanges()},this.hide=function(){i.hide()},this.show=function(){i.show()},this.position=function(e){i.css(\"top\",e.top-5).css(\"left\",e.left-5)},this.destroy=function(){i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(l=i[e.column.field]),t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==l)&&t.val()!=l},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}}}},\n",
+       "      454: function _(e,n,r){e(445);n.exports={Formatters:{PercentComplete:function(e,n,r,t,c){return null==r||\"\"===r?\"-\":r<50?\"<span style='color:red;font-weight:bold;'>\"+r+\"%</span>\":\"<span style='color:green'>\"+r+\"%</span>\"},PercentCompleteBar:function(e,n,r,t,c){return null==r||\"\"===r?\"\":\"<span class='percent-complete-bar' style='background:\"+(r<30?\"red\":r<70?\"silver\":\"green\")+\";width:\"+r+\"%'></span>\"},YesNo:function(e,n,r,t,c){return r?\"Yes\":\"No\"},Checkmark:function(e,n,r,t,c){return r?\"<img src='../images/tick.png'>\":\"\"},Checkbox:function(e,n,r,t,c){return'<img class=\"slick-edit-preclick\" src=\"../images/'+(r?\"CheckboxY\":\"CheckboxN\")+'.png\">'}}}},\n",
+       "      455: function _(t,o,r){var e=t(443),n=t(445);o.exports={RemoteModel:function(){var t={length:0},o=\"\",r=null,a=1,l=null,i=null,s=new n.Event,u=new n.Event;function f(){for(var o in t)delete t[o];t.length=0}function c(n,f){if(i){i.abort();for(var c=i.fromPage;c<=i.toPage;c++)t[50*c]=void 0}n<0&&(n=0),t.length>0&&(f=Math.min(f,t.length-1));for(var d=Math.floor(n/50),v=Math.floor(f/50);void 0!==t[50*d]&&d<v;)d++;for(;void 0!==t[50*v]&&d<v;)v--;if(d>v||d==v&&void 0!==t[50*d])u.notify({from:n,to:f});else{var m=\"http://octopart.com/api/v3/parts/search?apikey=68b25f31&include[]=short_description&show[]=uid&show[]=manufacturer&show[]=mpn&show[]=brand&show[]=octopart_url&show[]=short_description&q=\"+o+\"&start=\"+50*d+\"&limit=\"+(50*(v-d)+50);null!=r&&(m+=\"&sortby=\"+r+(a>0?\"+asc\":\"+desc\")),null!=l&&clearTimeout(l),l=setTimeout((function(){for(var o=d;o<=v;o++)t[50*o]=null;s.notify({from:n,to:f}),(i=e.jsonp({url:m,callbackParameter:\"callback\",cache:!0,success:h,error:function(){!function(t,o){alert(\"error loading pages \"+t+\" to \"+o)}(d,v)}})).fromPage=d,i.toPage=v}),50)}}function h(o){var r=o.request.start,e=r+o.results.length;t.length=Math.min(parseInt(o.hits),1e3);for(var n=0;n<o.results.length;n++){var a=o.results[n].item;t[r+n]=a,t[r+n].index=r+n}i=null,u.notify({from:r,to:e})}return{data:t,clear:f,isDataLoaded:function(o,r){for(var e=o;e<=r;e++)if(null==t[e]||null==t[e])return!1;return!0},ensureData:c,reloadData:function(o,r){for(var e=o;e<=r;e++)delete t[e];c(o,r)},setSort:function(t,o){r=t,a=o,f()},setSearch:function(t){o=t,f()},onDataLoading:s,onDataLoaded:u}}}},\n",
+       "      456: function _(e,s,t){var a=e(443),o=e(445);s.exports={GroupItemMetadataProvider:function(e){var s,t={checkboxSelect:!1,checkboxSelectCssClass:\"slick-group-select-checkbox\",checkboxSelectPlugin:null,groupCssClass:\"slick-group\",groupTitleCssClass:\"slick-group-title\",totalsCssClass:\"slick-group-totals\",groupFocusable:!0,totalsFocusable:!1,toggleCssClass:\"slick-group-toggle\",toggleExpandedCssClass:\"expanded\",toggleCollapsedCssClass:\"collapsed\",enableExpandCollapse:!0,groupFormatter:function(s,t,a,o,l,c){if(!e.enableExpandCollapse)return l.title;var r=15*l.level+\"px\";return(e.checkboxSelect?'<span class=\"'+e.checkboxSelectCssClass+\" \"+(l.selectChecked?\"checked\":\"unchecked\")+'\"></span>':\"\")+\"<span class='\"+e.toggleCssClass+\" \"+(l.collapsed?e.toggleCollapsedCssClass:e.toggleExpandedCssClass)+\"' style='margin-left:\"+r+\"'></span><span class='\"+e.groupTitleCssClass+\"' level='\"+l.level+\"'>\"+l.title+\"</span>\"},totalsFormatter:function(e,s,t,a,o,l){return a.groupTotalsFormatter&&a.groupTotalsFormatter(o,a,l)||\"\"}};function l(t,l){var c=a(t.target),r=this.getDataItem(l.row);if(r&&r instanceof o.Group&&c.hasClass(e.toggleCssClass)){var n=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:n.top,ignoreDiffsAfter:n.bottom+1}),r.collapsed?this.getData().expandGroup(r.groupingKey):this.getData().collapseGroup(r.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}if(r&&r instanceof o.Group&&c.hasClass(e.checkboxSelectCssClass)){r.selectChecked=!r.selectChecked,c.removeClass(r.selectChecked?\"unchecked\":\"checked\"),c.addClass(r.selectChecked?\"checked\":\"unchecked\");var i=s.getData().mapItemsToRows(r.rows);(r.selectChecked?e.checkboxSelectPlugin.selectRows:e.checkboxSelectPlugin.deSelectRows)(i)}}function c(t,a){if(e.enableExpandCollapse&&t.which==o.keyCode.SPACE){var l=this.getActiveCell();if(l){var c=this.getDataItem(l.row);if(c&&c instanceof o.Group){var r=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:r.top,ignoreDiffsAfter:r.bottom+1}),c.collapsed?this.getData().expandGroup(c.groupingKey):this.getData().collapseGroup(c.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}}}}return e=a.extend(!0,{},t,e),{init:function(e){(s=e).onClick.subscribe(l),s.onKeyDown.subscribe(c)},destroy:function(){s&&(s.onClick.unsubscribe(l),s.onKeyDown.unsubscribe(c))},getGroupRowMetadata:function(s){return{selectable:!1,focusable:e.groupFocusable,cssClasses:e.groupCssClass,columns:{0:{colspan:\"*\",formatter:e.groupFormatter,editor:null}}}},getTotalsRowMetadata:function(s){return{selectable:!1,focusable:e.totalsFocusable,cssClasses:e.totalsCssClass,formatter:e.totalsFormatter,editor:null}}}}}},\n",
+       "      457: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),n=e(458),c=e(98),a=s.__importStar(e(18));class o extends n.Widget{constructor(e){super(e)}static init_TableWidget(){this.define({source:[a.Instance],view:[a.Instance,()=>new c.CDSView]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.source,this.view.compute_indices())}}t.TableWidget=o,o.__name__=\"TableWidget\",o.init_TableWidget()},\n",
+       "      458: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(249),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n",
+       "      459: function _(e,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_data_table=\"bk-data-table\",b.bk_cell_index=\"bk-cell-index\",b.bk_header_index=\"bk-header-index\",b.bk_cell_editor=\"bk-cell-editor\",b.bk_cell_select=\"bk-cell-select\"},\n",
+       "      460: function _(A,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default='\\n.bk-root {\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /* Menu button */\\n  /* Menu */\\n  /* Menu items */\\n  /* Disabled */\\n}\\n.bk-root .slick-header.ui-state-default,\\n.bk-root .slick-headerrow.ui-state-default,\\n.bk-root .slick-footerrow.ui-state-default,\\n.bk-root .slick-top-panel-scroller.ui-state-default {\\n  width: 100%;\\n  overflow: auto;\\n  position: relative;\\n  border-left: 0px !important;\\n}\\n.bk-root .slick-header.ui-state-default {\\n  overflow: inherit;\\n}\\n.bk-root .slick-header::-webkit-scrollbar,\\n.bk-root .slick-headerrow::-webkit-scrollbar,\\n.bk-root .slick-footerrow::-webkit-scrollbar {\\n  display: none;\\n}\\n.bk-root .slick-header-columns,\\n.bk-root .slick-headerrow-columns,\\n.bk-root .slick-footerrow-columns {\\n  position: relative;\\n  white-space: nowrap;\\n  cursor: default;\\n  overflow: hidden;\\n}\\n.bk-root .slick-header-column.ui-state-default {\\n  position: relative;\\n  display: inline-block;\\n  box-sizing: content-box !important;\\n  /* this here only for Firefox! */\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  height: 16px;\\n  line-height: 16px;\\n  margin: 0;\\n  padding: 4px;\\n  border-right: 1px solid silver;\\n  border-left: 0px !important;\\n  border-top: 0px !important;\\n  border-bottom: 0px !important;\\n  float: left;\\n}\\n.bk-root .slick-headerrow-column.ui-state-default,\\n.bk-root .slick-footerrow-column.ui-state-default {\\n  padding: 4px;\\n}\\n.bk-root .slick-header-column-sorted {\\n  font-style: italic;\\n}\\n.bk-root .slick-sort-indicator {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 6px;\\n  float: left;\\n}\\n.bk-root .slick-sort-indicator-numbered {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 0;\\n  line-height: 20px;\\n  float: left;\\n  font-family: Arial;\\n  font-style: normal;\\n  font-weight: bold;\\n  color: #6190CD;\\n}\\n.bk-root .slick-sort-indicator-desc {\\n  background: url(images/sort-desc.gif);\\n}\\n.bk-root .slick-sort-indicator-asc {\\n  background: url(images/sort-asc.gif);\\n}\\n.bk-root .slick-resizable-handle {\\n  position: absolute;\\n  font-size: 0.1px;\\n  display: block;\\n  cursor: col-resize;\\n  width: 9px;\\n  right: -5px;\\n  top: 0;\\n  height: 100%;\\n  z-index: 1;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver;\\n}\\n.bk-root .grid-canvas {\\n  position: relative;\\n  outline: 0;\\n}\\n.bk-root .slick-row.ui-widget-content,\\n.bk-root .slick-row.ui-state-active {\\n  position: absolute;\\n  border: 0px;\\n  width: 100%;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column,\\n.bk-root .slick-footerrow-column {\\n  position: absolute;\\n  border: 1px solid transparent;\\n  border-right: 1px dotted silver;\\n  border-bottom-color: silver;\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  vertical-align: middle;\\n  z-index: 1;\\n  padding: 1px 2px 2px 1px;\\n  margin: 0;\\n  white-space: nowrap;\\n  cursor: default;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column {\\n  border-bottom-color: silver;\\n}\\n.bk-root .slick-footerrow-column {\\n  border-top-color: silver;\\n}\\n.bk-root .slick-group-toggle {\\n  display: inline-block;\\n}\\n.bk-root .slick-cell.highlighted {\\n  background: lightskyblue;\\n  background: rgba(0, 0, 255, 0.2);\\n  -webkit-transition: all 0.5s;\\n  -moz-transition: all 0.5s;\\n  -o-transition: all 0.5s;\\n  transition: all 0.5s;\\n}\\n.bk-root .slick-cell.flashing {\\n  border: 1px solid red !important;\\n}\\n.bk-root .slick-cell.editable {\\n  z-index: 11;\\n  overflow: visible;\\n  background: white;\\n  border-color: black;\\n  border-style: solid;\\n}\\n.bk-root .slick-cell:focus {\\n  outline: none;\\n}\\n.bk-root .slick-reorder-proxy {\\n  display: inline-block;\\n  background: blue;\\n  opacity: 0.15;\\n  cursor: move;\\n}\\n.bk-root .slick-reorder-guide {\\n  display: inline-block;\\n  height: 2px;\\n  background: blue;\\n  opacity: 0.7;\\n}\\n.bk-root .slick-selection {\\n  z-index: 10;\\n  position: absolute;\\n  border: 2px dashed black;\\n}\\n.bk-root .slick-header-columns {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-bottom: 1px solid silver;\\n}\\n.bk-root .slick-header-column {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-right: 1px solid silver;\\n}\\n.bk-root .slick-header-column:hover,\\n.bk-root .slick-header-column-active {\\n  background: white url(\\'images/header-columns-over-bg.gif\\') repeat-x center bottom;\\n}\\n.bk-root .slick-headerrow {\\n  background: #fafafa;\\n}\\n.bk-root .slick-headerrow-column {\\n  background: #fafafa;\\n  border-bottom: 0;\\n  height: 100%;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row {\\n  position: absolute;\\n  background: white;\\n  border: 0px;\\n  line-height: 20px;\\n}\\n.bk-root .slick-row.selected {\\n  z-index: 10;\\n  background: #DFE8F6;\\n}\\n.bk-root .slick-cell {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .slick-group {\\n  border-bottom: 2px solid silver;\\n}\\n.bk-root .slick-group-toggle {\\n  width: 9px;\\n  height: 9px;\\n  margin-right: 5px;\\n}\\n.bk-root .slick-group-toggle.expanded {\\n  background: url(images/collapse.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-toggle.collapsed {\\n  background: url(images/expand.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-totals {\\n  color: gray;\\n  background: white;\\n}\\n.bk-root .slick-group-select-checkbox {\\n  width: 13px;\\n  height: 13px;\\n  margin: 3px 10px 0 0;\\n  display: inline-block;\\n}\\n.bk-root .slick-group-select-checkbox.checked {\\n  background: url(images/GrpCheckboxY.png) no-repeat center center;\\n}\\n.bk-root .slick-group-select-checkbox.unchecked {\\n  background: url(images/GrpCheckboxN.png) no-repeat center center;\\n}\\n.bk-root .slick-cell.selected {\\n  background-color: beige;\\n}\\n.bk-root .slick-cell.active {\\n  border-color: gray;\\n  border-style: solid;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver !important;\\n}\\n.bk-root .slick-row.odd {\\n  background: #fafafa;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row.loading {\\n  opacity: 0.5;\\n}\\n.bk-root .slick-cell.invalid {\\n  border-color: red;\\n  -moz-animation-duration: 0.2s;\\n  -webkit-animation-duration: 0.2s;\\n  -moz-animation-name: slickgrid-invalid-hilite;\\n  -webkit-animation-name: slickgrid-invalid-hilite;\\n}\\n@-moz-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n@-webkit-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n.bk-root .slick-column-name,\\n.bk-root .slick-sort-indicator {\\n  /**\\n   * This makes all \"float:right\" elements after it that spill over to the next line\\n   * display way below the lower boundary of the column thus hiding them.\\n   */\\n  display: inline-block;\\n  float: left;\\n  margin-bottom: 100px;\\n}\\n.bk-root .slick-header-button {\\n  display: inline-block;\\n  float: right;\\n  vertical-align: top;\\n  margin: 1px;\\n  /**\\n  * This makes all \"float:right\" elements after it that spill over to the next line\\n  * display way below the lower boundary of the column thus hiding them.\\n  */\\n  margin-bottom: 100px;\\n  height: 15px;\\n  width: 15px;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-button-hidden {\\n  width: 0;\\n  -webkit-transition: 0.2s width;\\n  -ms-transition: 0.2s width;\\n  transition: 0.2s width;\\n}\\n.bk-root .slick-header-column:hover > .slick-header-button {\\n  width: 15px;\\n}\\n.bk-root .slick-header-menubutton {\\n  position: absolute;\\n  right: 0;\\n  top: 0;\\n  bottom: 0;\\n  width: 14px;\\n  background-repeat: no-repeat;\\n  background-position: left center;\\n  background-image: url(../images/down.gif);\\n  cursor: pointer;\\n  display: none;\\n  border-left: thin ridge silver;\\n}\\n.bk-root .slick-header-column:hover > .slick-header-menubutton,\\n.bk-root .slick-header-column-active .slick-header-menubutton {\\n  display: inline-block;\\n}\\n.bk-root .slick-header-menu {\\n  position: absolute;\\n  display: inline-block;\\n  margin: 0;\\n  padding: 2px;\\n  cursor: default;\\n}\\n.bk-root .slick-header-menuitem {\\n  list-style: none;\\n  margin: 0;\\n  padding: 0;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-menuicon {\\n  display: inline-block;\\n  width: 16px;\\n  height: 16px;\\n  vertical-align: middle;\\n  margin-right: 4px;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .slick-header-menucontent {\\n  display: inline-block;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-header-menuitem-disabled {\\n  color: silver;\\n}\\n.bk-root .slick-columnpicker {\\n  border: 1px solid #718BB7;\\n  background: #f0f0f0;\\n  padding: 6px;\\n  -moz-box-shadow: 2px 2px 2px silver;\\n  -webkit-box-shadow: 2px 2px 2px silver;\\n  box-shadow: 2px 2px 2px silver;\\n  min-width: 150px;\\n  cursor: default;\\n  position: absolute;\\n  z-index: 20;\\n  overflow: auto;\\n  resize: both;\\n}\\n.bk-root .slick-columnpicker > .close {\\n  float: right;\\n}\\n.bk-root .slick-columnpicker .title {\\n  font-size: 16px;\\n  width: 60%;\\n  border-bottom: solid 1px #d6d6d6;\\n  margin-bottom: 10px;\\n}\\n.bk-root .slick-columnpicker li {\\n  list-style: none;\\n  margin: 0;\\n  padding: 0;\\n  background: none;\\n}\\n.bk-root .slick-columnpicker input {\\n  margin: 4px;\\n}\\n.bk-root .slick-columnpicker li a {\\n  display: block;\\n  padding: 4px;\\n  font-weight: bold;\\n}\\n.bk-root .slick-columnpicker li a:hover {\\n  background: white;\\n}\\n.bk-root .slick-pager {\\n  width: 100%;\\n  height: 26px;\\n  border: 1px solid gray;\\n  border-top: 0;\\n  background: url(\\'../images/header-columns-bg.gif\\') repeat-x center bottom;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-status {\\n  display: inline-block;\\n  padding: 6px;\\n}\\n.bk-root .slick-pager .ui-icon-container {\\n  display: inline-block;\\n  margin: 2px;\\n  border-color: gray;\\n}\\n.bk-root .slick-pager .slick-pager-nav {\\n  display: inline-block;\\n  float: left;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings {\\n  display: block;\\n  float: right;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings * {\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-settings a {\\n  padding: 2px;\\n  text-decoration: underline;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-columns {\\n  background-image: url(\"data:image/gif;base64,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\");\\n}\\n.bk-root .slick-header-column {\\n  background-image: url(\"data:image/gif;base64,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\");\\n}\\n.bk-root .slick-header-column:hover,\\n.bk-root .slick-header-column-active {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhAgAWAIcAAKrM9tno++vz/QAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAAAAP8ALAAAAAACABYAAAgUAAUIHEiwoIAACBMqXMhwIQAAAQEAOw==\");\\n}\\n.bk-root .slick-group-toggle.expanded {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhCQAJAPcAAAFGeoCAgNXz/+v5/+v6/+z5/+36//L7//X8//j9/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAACQAJAAAIMwADCBxIUIDBgwIEChgwwECBAgQUFjBAkaJCABgxGlB4AGHCAAIQiBypEEECkScJqgwQEAA7\");\\n}\\n.bk-root .slick-group-toggle.collapsed {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhCQAJAPcAAAFGeoCAgNXz/+v5/+v6/+z5/+36//L7//X8//j9/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAACQAJAAAIOAADCBxIUIDBgwIEChgwAECBAgQUFjAAQIABAwoBaNSIMYCAAwIqGlSIAEHFkiQTIBCgkqDLAAEBADs=\");\\n}\\n.bk-root .slick-group-select-checkbox.checked {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .slick-group-select-checkbox.unchecked {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAA4AAAAOCAIAAACQKrqGAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAOwQAADsEBuJFr7QAAABl0RVh0U29mdHdhcmUAcGFpbnQubmV0IDQuMC4xNkRpr/UAAACXSURBVChT1dIxC4MwEAXg/v8/VOhQVDBNakV0KA6pxS4JhWRSIYPEJxwdDi1de7wleR+3JIf486w0hKCKRpSvvOhZcCmvNQBRuKqdah03U7UjNNH81rOaBYDo8SQaPX8JANFEaLaGBeAPaaY61rGksiN6TmR5H1j9CSoAosYYHLA7vTxYMvVEZa0liif23r93xjm3/oEYF8PiDn/I2FHCAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .slick-sort-indicator-desc {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDQAFAIcAAGGQzUD/QOPu+wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAMAAAEALAAAAAANAAUAAAgeAAUAGEgQgIAACBEKLHgwYcKFBh1KFNhQosOKEgMCADs=\");\\n}\\n.bk-root .slick-sort-indicator-asc {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDQAFAIcAAGGQzUD/QOPu+wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAMAAAEALAAAAAANAAUAAAgbAAMIDABgoEGDABIeRJhQ4cKGEA8KmEiRosGAADs=\");\\n}\\n.bk-root .slick-header-menubutton {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDgAOAIABADtKYwAAACH5BAEAAAEALAAAAAAOAA4AAAISjI+py+0PHZgUsGobhTn6DxoFADs=\");\\n}\\n.bk-root .slick-pager {\\n  background-image: url(\"data:image/gif;base64,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\");\\n}\\n'},\n",
+       "      461: function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default='\\n.bk-root .bk-data-table {\\n  box-sizing: content-box;\\n  font-size: 11px;\\n}\\n.bk-root .bk-data-table input[type=\"checkbox\"] {\\n  margin-left: 4px;\\n  margin-right: 4px;\\n}\\n.bk-root .bk-cell-special-defaults {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n}\\n.bk-root .bk-cell-select {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n}\\n.bk-root .bk-cell-index {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n  text-align: right;\\n  color: gray;\\n}\\n.bk-root .bk-header-index .slick-column-name {\\n  float: right;\\n}\\n.bk-root .slick-row.selected .bk-cell-index {\\n  background-color: transparent;\\n}\\n.bk-root .slick-cell {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .slick-cell.active {\\n  border-style: dashed;\\n}\\n.bk-root .slick-cell.editable {\\n  padding-left: 0;\\n  padding-right: 0;\\n}\\n.bk-root .bk-cell-editor input,\\n.bk-root .bk-cell-editor select {\\n  width: 100%;\\n  height: 100%;\\n  border: 0;\\n  margin: 0;\\n  padding: 0;\\n  outline: 0;\\n  background: transparent;\\n  vertical-align: baseline;\\n}\\n.bk-root .bk-cell-editor input {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .bk-cell-editor-completion {\\n  font-size: 11px;\\n}\\n'},\n",
+       "      462: function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=i.__importDefault(t(159)),a=i.__importStar(t(161)),n=t(463),s=i.__importStar(t(18)),c=t(68),l=t(8),m=t(71);class _ extends m.Model{constructor(t){super(t)}doFormat(t,e,r,i,o){return null==r?\"\":(r+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}}r.CellFormatter=_,_.__name__=\"CellFormatter\";class u extends _{constructor(t){super(t)}static init_StringFormatter(){this.define({font_style:[s.FontStyle,\"normal\"],text_align:[s.TextAlign,\"left\"],text_color:[s.Color]})}doFormat(t,e,r,i,o){const{font_style:a,text_align:n,text_color:s}=this,l=c.div({},null==r?\"\":\"\"+r);switch(a){case\"bold\":l.style.fontWeight=\"bold\";break;case\"italic\":l.style.fontStyle=\"italic\"}return null!=n&&(l.style.textAlign=n),null!=s&&(l.style.color=s),l.outerHTML}}r.StringFormatter=u,u.__name__=\"StringFormatter\",u.init_StringFormatter();class F extends u{constructor(t){super(t)}static init_ScientificFormatter(){this.define({precision:[s.Number,10],power_limit_high:[s.Number,5],power_limit_low:[s.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}doFormat(t,e,r,i,o){const a=r<=this.scientific_limit_low||r>=this.scientific_limit_high;let n=this.precision;return n<1&&(n=1),r=a?r.toExponential(n):r.toFixed(n).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"),super.doFormat(t,e,r,i,o)}}r.ScientificFormatter=F,F.__name__=\"ScientificFormatter\",F.init_ScientificFormatter();class d extends u{constructor(t){super(t)}static init_NumberFormatter(){this.define({format:[s.String,\"0,0\"],language:[s.String,\"en\"],rounding:[s.RoundingFunction,\"round\"]})}doFormat(t,e,r,i,o){const{format:n,language:s}=this,c=(()=>{switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}})();return r=a.format(r,n,s,c),super.doFormat(t,e,r,i,o)}}r.NumberFormatter=d,d.__name__=\"NumberFormatter\",d.init_NumberFormatter();class g extends _{constructor(t){super(t)}static init_BooleanFormatter(){this.define({icon:[s.String,\"check\"]})}doFormat(t,e,r,i,o){return r?c.i({class:this.icon}).outerHTML:\"\"}}r.BooleanFormatter=g,g.__name__=\"BooleanFormatter\",g.init_BooleanFormatter();class p extends _{constructor(t){super(t)}static init_DateFormatter(){this.define({format:[s.String,\"ISO-8601\"]})}getFormat(){switch(this.format){case\"ATOM\":case\"W3C\":case\"RFC-3339\":case\"ISO-8601\":return\"%Y-%m-%d\";case\"COOKIE\":return\"%a, %d %b %Y\";case\"RFC-850\":return\"%A, %d-%b-%y\";case\"RFC-1123\":case\"RFC-2822\":return\"%a, %e %b %Y\";case\"RSS\":case\"RFC-822\":case\"RFC-1036\":return\"%a, %e %b %y\";case\"TIMESTAMP\":return;default:return this.format}}doFormat(t,e,r,i,a){r=l.isString(r)?parseInt(r,10):r;const n=o.default(r,this.getFormat());return super.doFormat(t,e,n,i,a)}}r.DateFormatter=p,p.__name__=\"DateFormatter\",p.init_DateFormatter();class h extends _{constructor(t){super(t)}static init_HTMLTemplateFormatter(){this.define({template:[s.String,\"<%= value %>\"]})}doFormat(t,e,r,i,o){const{template:a}=this;if(null==r)return\"\";return n._.template(a)(Object.assign(Object.assign({},o),{value:r}))}}r.HTMLTemplateFormatter=h,h.__name__=\"HTMLTemplateFormatter\",h.init_HTMLTemplateFormatter()},\n",
+       "      463: function _(e,n,t){var f=e(464),i=f.template;function o(e,n,t){return i(e,n,t)}o._=f,n.exports=o,\"function\"==typeof define&&define.amd?define((function(){return o})):\"undefined\"==typeof window&&\"undefined\"==typeof navigator||(window.UnderscoreTemplate=o)},\n",
+       "      464: function _(r,e,n){\n",
+       "      //     (c) 2009-2013 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
+       "      //     Underscore may be freely distributed under the MIT license.\n",
+       "      var t={},a=Array.prototype,u=Object.prototype,c=a.slice,o=u.toString,l=u.hasOwnProperty,i=a.forEach,f=Object.keys,s=Array.isArray,p=function(){},_=p.each=p.forEach=function(r,e,n){if(null!=r)if(i&&r.forEach===i)r.forEach(e,n);else if(r.length===+r.length){for(var a=0,u=r.length;a<u;a++)if(e.call(n,r[a],a,r)===t)return}else{var c=p.keys(r);for(a=0,u=c.length;a<u;a++)if(e.call(n,r[c[a]],c[a],r)===t)return}};p.keys=f||function(r){if(r!==Object(r))throw new TypeError(\"Invalid object\");var e=[];for(var n in r)p.has(r,n)&&e.push(n);return e},p.defaults=function(r){return _(c.call(arguments,1),(function(e){if(e)for(var n in e)void 0===r[n]&&(r[n]=e[n])})),r},p.isArray=s||function(r){return\"[object Array]\"===o.call(r)},p.has=function(r,e){if(!p.isArray(e))return null!=r&&l.call(r,e);for(var n=e.length,t=0;t<n;t++){var a=e[t];if(null==r||!l.call(r,a))return!1;r=r[a]}return!!n};var h={escape:{\"&\":\"&amp;\",\"<\":\"&lt;\",\">\":\"&gt;\",'\"':\"&quot;\",\"'\":\"&#x27;\"}},v={escape:new RegExp(\"[\"+p.keys(h.escape).join(\"\")+\"]\",\"g\")};p.each([\"escape\"],(function(r){p[r]=function(e){return null==e?\"\":(\"\"+e).replace(v[r],(function(e){return h[r][e]}))}})),p.templateSettings={evaluate:/<%([\\s\\S]+?)%>/g,interpolate:/<%=([\\s\\S]+?)%>/g,escape:/<%-([\\s\\S]+?)%>/g};var g=/(.)^/,y={\"'\":\"'\",\"\\\\\":\"\\\\\",\"\\r\":\"r\",\"\\n\":\"n\",\"\\t\":\"t\",\"\\u2028\":\"u2028\",\"\\u2029\":\"u2029\"},j=/\\\\|'|\\r|\\n|\\t|\\u2028|\\u2029/g;p.template=function(r,e,n){var t;n=p.defaults({},n,p.templateSettings);var a=new RegExp([(n.escape||g).source,(n.interpolate||g).source,(n.evaluate||g).source].join(\"|\")+\"|$\",\"g\"),u=0,c=\"__p+='\";r.replace(a,(function(e,n,t,a,o){return c+=r.slice(u,o).replace(j,(function(r){return\"\\\\\"+y[r]})),n&&(c+=\"'+\\n((__t=(\"+n+\"))==null?'':_.escape(__t))+\\n'\"),t&&(c+=\"'+\\n((__t=(\"+t+\"))==null?'':__t)+\\n'\"),a&&(c+=\"';\\n\"+a+\"\\n__p+='\"),u=o+e.length,e})),c+=\"';\\n\",n.variable||(c=\"with(obj||{}){\\n\"+c+\"}\\n\"),c=\"var __t,__p='',__j=Array.prototype.join,print=function(){__p+=__j.call(arguments,'');};\\n\"+c+\"return __p;\\n\";try{t=new Function(n.variable||\"obj\",\"_\",c)}catch(r){throw r.source=c,r}if(e)return t(e,p);var o=function(r){return t.call(this,r,p)};return o.source=\"function(\"+(n.variable||\"obj\")+\"){\\n\"+c+\"}\",o},e.exports=p},\n",
+       "      465: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),o=t(462),n=t(440),l=r.__importStar(t(18)),a=t(24),d=t(71);class s extends d.Model{constructor(t){super(t)}static init_TableColumn(){this.define({field:[l.String],title:[l.String],width:[l.Number,300],formatter:[l.Instance,()=>new o.StringFormatter],editor:[l.Instance,()=>new n.StringEditor],sortable:[l.Boolean,!0],default_sort:[l.Sort,\"ascending\"]})}toColumn(){var t;return{id:a.uniqueId(),field:this.field,name:null!==(t=this.title)&&void 0!==t?t:this.field,width:this.width,formatter:null!=this.formatter?this.formatter.doFormat.bind(this.formatter):void 0,model:this.editor,editor:this.editor.default_view,sortable:this.sortable,defaultSortAsc:\"ascending\"==this.default_sort}}}i.TableColumn=s,s.__name__=\"TableColumn\",s.init_TableColumn()},\n",
+       "      466: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=t(1),a=t(448),{Avg:i,Min:o,Max:g,Sum:n}=a.Data.Aggregators,u=r.__importStar(t(18)),c=t(71);class _ extends c.Model{constructor(t){super(t)}static init_RowAggregator(){this.define({field_:[u.String,\"\"]})}}s.RowAggregator=_,_.__name__=\"RowAggregator\",_.init_RowAggregator();const l=new i;class m extends _{constructor(){super(...arguments),this.key=\"avg\",this.init=l.init,this.accumulate=l.accumulate,this.storeResult=l.storeResult}}s.AvgAggregator=m,m.__name__=\"AvgAggregator\";const h=new o;class A extends _{constructor(){super(...arguments),this.key=\"min\",this.init=h.init,this.accumulate=h.accumulate,this.storeResult=h.storeResult}}s.MinAggregator=A,A.__name__=\"MinAggregator\";const R=new g;class d extends _{constructor(){super(...arguments),this.key=\"max\",this.init=R.init,this.accumulate=R.accumulate,this.storeResult=R.storeResult}}s.MaxAggregator=d,d.__name__=\"MaxAggregator\";const x=new n;class w extends _{constructor(){super(...arguments),this.key=\"sum\",this.init=x.init,this.accumulate=x.accumulate,this.storeResult=x.storeResult}}s.SumAggregator=w,w.__name__=\"SumAggregator\"},\n",
+       "      467: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1).__importStar(t(18)),r=t(68),i=t(448),a=t(441),n=t(71);function l(t,e,s,o,i){const{collapsed:a,level:n,title:l}=i,u=r.span({class:\"slick-group-toggle \"+(a?\"collapsed\":\"expanded\"),style:{\"margin-left\":15*n+\"px\"}}),g=r.span({class:\"slick-group-title\",level:n},l);return`${u.outerHTML}${g.outerHTML}`}function u(t,e){const s=this.getDataItem(e.row);s instanceof i.Group&&t.target.classList.contains(\"slick-group-toggle\")&&(s.collapsed?this.getData().expandGroup(s.groupingKey):this.getData().collapseGroup(s.groupingKey),t.stopImmediatePropagation(),t.preventDefault(),this.invalidate(),this.render())}class g extends n.Model{constructor(t){super(t)}static init_GroupingInfo(){this.define({getter:[o.String,\"\"],aggregators:[o.Array,[]],collapsed:[o.Boolean,!1]})}get comparer(){return(t,e)=>t.value===e.value?0:t.value>e.value?1:-1}}s.GroupingInfo=g,g.__name__=\"GroupingInfo\",g.init_GroupingInfo();class c extends a.TableDataProvider{constructor(t,e,s,o){super(t,e),this.columns=s,this.groupingInfos=[],this.groupingDelimiter=\":|:\",this.target=o}setGrouping(t){this.groupingInfos=t,this.toggledGroupsByLevel=t.map(()=>({})),this.refresh()}extractGroups(t,e){const s=[],o=new Map,r=e?e.level+1:0,{comparer:a,getter:n}=this.groupingInfos[r];return t.forEach(t=>{const a=this.source.data[n][t];let l=o.get(a);if(!l){const t=e?`${e.groupingKey}${this.groupingDelimiter}${a}`:\"\"+a;l=Object.assign(new i.Group,{value:a,level:r,groupingKey:t}),s.push(l),o.set(a,l)}l.rows.push(t)}),r<this.groupingInfos.length-1&&s.forEach(t=>{t.groups=this.extractGroups(t.rows,t)}),s.sort(a),s}calculateTotals(t,e){const s={avg:{},max:{},min:{},sum:{}},{source:{data:o}}=this,r=Object.keys(o),i=t.rows.map(t=>r.reduce((e,s)=>Object.assign(Object.assign({},e),{[s]:o[s][t]}),{}));return e.forEach(t=>{t.init(),i.forEach(e=>t.accumulate(e)),t.storeResult(s)}),s}addTotals(t,e=0){const{aggregators:s,collapsed:o}=this.groupingInfos[e],r=this.toggledGroupsByLevel[e];t.forEach(t=>{t.groups&&this.addTotals(t.groups,e+1),s.length&&t.rows.length&&(t.totals=this.calculateTotals(t,s)),t.collapsed=o!==r[t.groupingKey],t.title=t.value?\"\"+t.value:\"\"})}flattenedGroupedRows(t,e=0){const s=[];return t.forEach(t=>{if(s.push(t),!t.collapsed){const o=t.groups?this.flattenedGroupedRows(t.groups,e+1):t.rows;s.push(...o)}}),s}refresh(){const t=this.extractGroups(this.view.indices),e=this.source.data[this.columns[0].field];t.length&&(this.addTotals(t),this.rows=this.flattenedGroupedRows(t),this.target.data={row_indices:this.rows.map(t=>t instanceof i.Group?t.rows:t),labels:this.rows.map(t=>t instanceof i.Group?t.title:e[t])})}getLength(){return this.rows.length}getItem(t){const e=this.rows[t],{source:{data:s}}=this;return e instanceof i.Group?e:Object.keys(s).reduce((t,o)=>Object.assign(Object.assign({},t),{[o]:s[o][e]}),{[a.DTINDEX_NAME]:e})}getItemMetadata(t){const e=this.rows[t],s=this.columns.slice(1),o=e instanceof i.Group?this.groupingInfos[e.level].aggregators:[];return e instanceof i.Group?{selectable:!1,focusable:!1,cssClasses:\"slick-group\",columns:[{formatter:l},...s.map((function(t){const{field:e,formatter:s}=t,r=o.find(({field_:t})=>t===e);if(r){const{key:t}=r;return{formatter:(o,r,i,a,n)=>s?s(o,r,n.totals[t][e],a,n):\"\"}}return{}}))]}:{}}collapseGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=!this.groupingInfos[e].collapsed,this.refresh()}expandGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=this.groupingInfos[e].collapsed,this.refresh()}}s.DataCubeProvider=c,c.__name__=\"DataCubeProvider\";class p extends a.DataTableView{render(){const t={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:!1,forceFitColumns:this.model.fit_columns,multiColumnSort:!1,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height},e=this.model.columns.map(t=>t.toColumn());var s,o;e[0].formatter=(s=e[0].formatter,o=this.model.grouping.length,(t,e,i,a,n)=>{const l=r.span({class:\"slick-group-toggle\",style:{\"margin-left\":15*(o||0)+\"px\"}}),u=s?s(t,e,i,a,n):\"\"+i;return`${l.outerHTML}${u&&u.replace(/^<div/,\"<span\").replace(/div>$/,\"span>\")}`}),delete e[0].editor,this.data=new c(this.model.source,this.model.view,e,this.model.target),this.data.setGrouping(this.model.grouping),this.el.style.width=this.model.width+\"px\",this.grid=new i.Grid(this.el,this.data,e,t),this.grid.onClick.subscribe(u)}}s.DataCubeView=p,p.__name__=\"DataCubeView\";class h extends a.DataTable{constructor(t){super(t)}static init_DataCube(){this.prototype.default_view=p,this.define({grouping:[o.Array,[]],target:[o.Instance]})}}s.DataCube=h,h.__name__=\"DataCube\",h.init_DataCube()},\n",
+       "      }, 438, {\"models/widgets/tables/main\":438,\"models/widgets/tables/index\":439,\"models/widgets/tables/cell_editors\":440,\"models/widgets/tables/data_table\":441,\"models/widgets/tables/table_widget\":457,\"models/widgets/widget\":458,\"styles/widgets/tables\":459,\"styles/widgets/slickgrid.css\":460,\"styles/widgets/tables.css\":461,\"models/widgets/tables/cell_formatters\":462,\"models/widgets/tables/table_column\":465,\"models/widgets/tables/row_aggregators\":466,\"models/widgets/tables/data_cube\":467}, {});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END bokeh-tables.min.js */\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN bokeh-gl.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        factory(root[\"Bokeh\"], \"2.1.1\");\n",
+       "      })(this, function(Bokeh, version) {\n",
+       "        var define;\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
+       "          if (bokeh != null) {\n",
+       "            return bokeh.register_plugin(modules, entry, aliases);\n",
+       "          } else {\n",
+       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
+       "          }\n",
+       "        })\n",
+       "      ({\n",
+       "      370: function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(371)},\n",
+       "      371: function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);\n",
+       "      /*\n",
+       "          Copyright notice: many of the awesome techniques and  GLSL code contained in\n",
+       "          this module are based on work by Nicolas Rougier as part of the Glumpy and\n",
+       "          Vispy projects. The algorithms are published in\n",
+       "          http://jcgt.org/published/0003/04/01/ and http://jcgt.org/published/0002/02/08/\n",
+       "          \n",
+       "          This module contains all gl-specific code to add gl support for the glyphs.\n",
+       "          By implementing it separetely, the GL functionality can be spun off in a\n",
+       "          separate library.\n",
+       "          Other locations where we work with GL, or prepare for GL-rendering:\n",
+       "          - canvas.ts\n",
+       "          - plot.ts\n",
+       "          - glyph.ts\n",
+       "          - glyph_renderer.ts\n",
+       "          */o.__exportStar(e(372),_),o.__exportStar(e(377),_)},\n",
+       "      372: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(373),a=t(374),n=t(375),_=t(376),o=t(20);class h{constructor(t){this._atlas={},this._index=0,this._width=256,this._height=256,this.tex=new i.Texture2D(t),this.tex.set_wrapping(t.REPEAT,t.REPEAT),this.tex.set_interpolation(t.NEAREST,t.NEAREST),this.tex.set_size([this._height,this._width],t.RGBA),this.tex.set_data([0,0],[this._height,this._width],new Uint8Array(this._height*this._width*4)),this.get_atlas_data([1])}get_atlas_data(t){const e=t.join(\"-\");if(void 0===this._atlas[e]){const[s,i]=this.make_pattern(t);this.tex.set_data([this._index,0],[1,this._width],new Uint8Array(s.map(t=>t+10))),this._atlas[e]=[this._index/this._height,i],this._index+=1}return this._atlas[e]}make_pattern(t){t.length>1&&t.length%2&&(t=t.concat(t));let e=0;for(const s of t)e+=s;const s=[];let i=0;for(let e=0,a=t.length+2;e<a;e+=2){const a=Math.max(1e-4,t[e%t.length]),n=Math.max(1e-4,t[(e+1)%t.length]);s.push(i,i+a),i+=a+n}const a=this._width,n=new Float32Array(4*a);for(let t=0,i=a;t<i;t++){let i,_,o;const h=e*t/(a-1);let r=0,l=1e16;for(let t=0,e=s.length;t<e;t++){const e=Math.abs(s[t]-h);e<l&&(r=t,l=e)}r%2==0?(o=h<=s[r]?1:0,_=s[r],i=s[r+1]):(o=h>s[r]?-1:0,_=s[r-1],i=s[r]),n[4*t+0]=s[r],n[4*t+1]=o,n[4*t+2]=_,n[4*t+3]=i}return[n,e]}}h.__name__=\"DashAtlas\";const r={miter:0,round:1,bevel:2},l={\"\":0,none:0,\".\":0,round:1,\")\":1,\"(\":1,o:1,\"triangle in\":2,\"<\":2,\"triangle out\":3,\">\":3,square:4,\"[\":4,\"]\":4,\"=\":4,butt:5,\"|\":5};class g extends a.BaseGLGlyph{init(){const{gl:t}=this;this._scale_aspect=0;const e=n.vertex_shader,s=_.fragment_shader;this.prog=new i.Program(t),this.prog.set_shaders(e,s),this.index_buffer=new i.IndexBuffer(t),this.vbo_position=new i.VertexBuffer(t),this.vbo_tangents=new i.VertexBuffer(t),this.vbo_segment=new i.VertexBuffer(t),this.vbo_angles=new i.VertexBuffer(t),this.vbo_texcoord=new i.VertexBuffer(t),this.dash_atlas=new h(t)}draw(t,e,s){const i=e.glglyph;if(i.data_changed){if(!isFinite(s.dx)||!isFinite(s.dy))return;i._baked_offset=[s.dx,s.dy],i._set_data(),i.data_changed=!1}this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);let{sx:a,sy:n}=s;const _=Math.sqrt(a*a+n*n);a/=_,n/=_,Math.abs(this._scale_aspect-n/a)>Math.abs(.001*this._scale_aspect)&&(i._update_scale(a,n),this._scale_aspect=n/a),this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord),this.prog.set_uniform(\"u_length\",\"float\",[i.cumsum]),this.prog.set_texture(\"u_dash_atlas\",this.dash_atlas.tex);const o=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[s.dx-o[0],s.dy-o[1]]),this.prog.set_uniform(\"u_scale_aspect\",\"vec2\",[a,n]),this.prog.set_uniform(\"u_scale_length\",\"float\",[_]),this.I_triangles=i.I_triangles,this.I_triangles.length<65535)this.index_buffer.set_size(2*this.I_triangles.length),this.index_buffer.set_data(0,new Uint16Array(this.I_triangles)),this.prog.draw(this.gl.TRIANGLES,this.index_buffer);else{t=Array.from(this.I_triangles);const e=this.I_triangles.length,s=64008,a=[];for(let t=0,i=Math.ceil(e/s);t<i;t++)a.push([]);for(let e=0,i=t.length;e<i;e++){const i=t[e]%s;a[Math.floor(t[e]/s)].push(i)}for(let t=0,e=a.length;t<e;t++){const e=new Uint16Array(a[t]),n=t*s*4;0!==e.length&&(this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position,0,2*n),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents,0,4*n),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment,0,2*n),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles,0,2*n),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord,0,2*n),this.index_buffer.set_size(2*e.length),this.index_buffer.set_data(0,e),this.prog.draw(this.gl.TRIANGLES,this.index_buffer))}}}_set_data(){this._bake(),this.vbo_position.set_size(4*this.V_position.length),this.vbo_position.set_data(0,this.V_position),this.vbo_tangents.set_size(4*this.V_tangents.length),this.vbo_tangents.set_data(0,this.V_tangents),this.vbo_angles.set_size(4*this.V_angles.length),this.vbo_angles.set_data(0,this.V_angles),this.vbo_texcoord.set_size(4*this.V_texcoord.length),this.vbo_texcoord.set_data(0,this.V_texcoord)}_set_visuals(){const t=o.color2rgba(this.glyph.visuals.line.line_color.value(),this.glyph.visuals.line.line_alpha.value()),e=l[this.glyph.visuals.line.line_cap.value()],s=r[this.glyph.visuals.line.line_join.value()];this.prog.set_uniform(\"u_color\",\"vec4\",t),this.prog.set_uniform(\"u_linewidth\",\"float\",[this.glyph.visuals.line.line_width.value()]),this.prog.set_uniform(\"u_antialias\",\"float\",[.9]),this.prog.set_uniform(\"u_linecaps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_linejoin\",\"float\",[s]),this.prog.set_uniform(\"u_miter_limit\",\"float\",[10]);const i=this.glyph.visuals.line.line_dash.value();let a=0,n=1;i.length&&([a,n]=this.dash_atlas.get_atlas_data(i)),this.prog.set_uniform(\"u_dash_index\",\"float\",[a]),this.prog.set_uniform(\"u_dash_phase\",\"float\",[this.glyph.visuals.line.line_dash_offset.value()]),this.prog.set_uniform(\"u_dash_period\",\"float\",[n]),this.prog.set_uniform(\"u_dash_caps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_closed\",\"float\",[0])}_bake(){let t,e,s,i,a,n,_,o;const h=this.nvertices,r=new Float64Array(this.glyph._x),l=new Float64Array(this.glyph._y),g=_=new Float32Array(2*h),f=new Float32Array(2*h),u=o=new Float32Array(4*h);for(let t=0,e=h;t<e;t++)g[2*t+0]=r[t]+this._baked_offset[0],g[2*t+1]=l[t]+this._baked_offset[1];this.tangents=e=new Float32Array(2*h-2);for(let t=0,s=h-1;t<s;t++)e[2*t+0]=_[2*(t+1)+0]-_[2*t+0],e[2*t+1]=_[2*(t+1)+1]-_[2*t+1];for(let t=0,s=h-1;t<s;t++)u[4*(t+1)+0]=e[2*t+0],u[4*(t+1)+1]=e[2*t+1],u[4*t+2]=e[2*t+0],u[4*t+3]=e[2*t+1];u[0]=e[0],u[1]=e[1],u[4*(h-1)+2]=e[2*(h-2)+0],u[4*(h-1)+3]=e[2*(h-2)+1];const c=new Float32Array(h);for(let t=0,e=h;t<e;t++)c[t]=Math.atan2(o[4*t+0]*o[4*t+3]-o[4*t+1]*o[4*t+2],o[4*t+0]*o[4*t+2]+o[4*t+1]*o[4*t+3]);for(let t=0,e=h-1;t<e;t++)f[2*t+0]=c[t],f[2*t+1]=c[t+1];const d=4*h-4;this.V_position=i=new Float32Array(2*d),this.V_angles=s=new Float32Array(2*d),this.V_tangents=a=new Float32Array(4*d),this.V_texcoord=n=new Float32Array(2*d);for(let t=0,e=h;t<e;t++)for(let e=0;e<4;e++){for(let a=0;a<2;a++)i[2*(4*t+e-2)+a]=g[2*t+a],s[2*(4*t+e)+a]=f[2*t+a];for(let s=0;s<4;s++)a[4*(4*t+e-2)+s]=u[4*t+s]}for(let t=0,e=h;t<e;t++)n[2*(4*t+0)+0]=-1,n[2*(4*t+1)+0]=-1,n[2*(4*t+2)+0]=1,n[2*(4*t+3)+0]=1,n[2*(4*t+0)+1]=-1,n[2*(4*t+1)+1]=1,n[2*(4*t+2)+1]=-1,n[2*(4*t+3)+1]=1;const p=6*(h-1);this.I_triangles=t=new Uint32Array(p);for(let e=0,s=h;e<s;e++)t[6*e+0]=0+4*e,t[6*e+1]=1+4*e,t[6*e+2]=3+4*e,t[6*e+3]=2+4*e,t[6*e+4]=0+4*e,t[6*e+5]=3+4*e}_update_scale(t,e){let s;const i=this.nvertices,a=4*i-4,n=this.tangents,_=new Float32Array(i-1),o=new Float32Array(2*i);this.V_segment=s=new Float32Array(2*a);for(let s=0,a=i-1;s<a;s++)_[s]=Math.sqrt((n[2*s+0]*t)**2+(n[2*s+1]*e)**2);let h=0;for(let t=0,e=i-1;t<e;t++)h+=_[t],o[2*(t+1)+0]=h,o[2*t+1]=h;for(let t=0,e=i;t<e;t++)for(let e=0;e<4;e++)for(let i=0;i<2;i++)s[2*(4*t+e)+i]=o[2*t+i];this.cumsum=h,this.vbo_segment.set_size(4*this.V_segment.length),this.vbo_segment.set_data(0,this.V_segment)}}s.LineGLGlyph=g,g.__name__=\"LineGLGlyph\"},\n",
+       "      373: function _(t,e,r){var n,o,i,a,s,l,h,u,c,_=function(t,e){return Array.isArray(t)&&Array.isArray(e)?t.concat(e):t+e},f=function(t,e){if(null==e);else{if(Array.isArray(e)){for(var r=0;r<e.length;r++)if(p(t,e[r]))return!0;return!1}if(e.constructor===Object){for(var n in e)if(t==n)return!0;return!1}if(e.constructor==String)return e.indexOf(t)>=0}var o=Error(\"Not a container: \"+e);throw o.name=\"TypeError\",o},p=function t(e,r){if(null==e||null==r);else{if(Array.isArray(e)&&Array.isArray(r)){for(var n=0,o=e.length==r.length;o&&n<e.length;)o=t(e[n],r[n]),n+=1;return o}if(e.constructor===Object&&r.constructor===Object){var i=Object.keys(e),a=Object.keys(r);i.sort(),a.sort();var s;for(n=0,o=t(i,a);o&&n<i.length;)o=t(e[s=i[n]],r[s]),n+=1;return o}}return e==r},d=function(t,e){if(void 0===t||\"undefined\"!=typeof window&&window===t||\"undefined\"!=typeof global&&global===t)throw\"Class constructor is called as a function.\";for(var r in t)void 0!==Object[r]||\"function\"!=typeof t[r]||t[r].nobind||(t[r]=t[r].bind(t));t.__init__&&t.__init__.apply(t,e)},y=function(t,e){if((\"number\"==typeof t)+(\"number\"==typeof e)===1){if(t.constructor===String)return A.call(t,e);if(e.constructor===String)return A.call(e,t);if(Array.isArray(e)){var r=t;t=e,e=r}if(Array.isArray(t)){for(var n=[],o=0;o<e;o++)n=n.concat(t);return n}}return t*e},g=function(t){return null===t||\"object\"!=typeof t?t:void 0!==t.length?!!t.length&&t:void 0!==t.byteLength?!!t.byteLength&&t:t.constructor!==Object||!!Object.getOwnPropertyNames(t).length&&t},v=function(t){if(!Array.isArray(this))return this.append.apply(this,arguments);this.push(t)},m=function(t,e){return this.constructor!==Object?this.get.apply(this,arguments):void 0!==this[t]?this[t]:void 0!==e?e:null},x=function(){return\"function\"==typeof this.keys?this.keys.apply(this,arguments):Object.keys(this)},b=function(t){if(this.constructor!==String)return this.lstrip.apply(this,arguments);t=void 0===t?\" \\t\\r\\n\":t;for(var e=0;e<this.length;e++)if(t.indexOf(this[e])<0)return this.slice(e);return\"\"},E=function(t){if(!Array.isArray(this))return this.remove.apply(this,arguments);for(var e=0;e<this.length;e++)if(p(this[e],t))return void this.splice(e,1);var r=Error(t);throw r.name=\"ValueError\",r},A=function(t){if(this.repeat)return this.repeat(t);if(t<1)return\"\";for(var e=\"\",r=this.valueOf();t>1;)1&t&&(e+=r),t>>=1,r+=r;return e+r},w=function(t){return this.constructor!==String?this.startswith.apply(this,arguments):0==this.indexOf(t)};c=window.console,u=function(t,e){var r,n,o,i,a,s,l;for(e=void 0===e?\"periodic check\":e,i=[];n=t.getError(),!(p(n,t.NO_ERROR)||g(i)&&p(n,i[i.length-1]));)v.call(i,n);if(i.length){for(a=\"\",\"object\"!=typeof(s=i)||Array.isArray(s)||(s=Object.keys(s)),l=0;l<s.length;l+=1)r=s[l],a=_(a,r);throw(o=new Error(\"RuntimeError:OpenGL got errors (\"+e+\"): \"+a)).name=\"RuntimeError\",o}return null},(o=function(){d(this,arguments)}).prototype._base_class=Object,o.prototype._class_name=\"GlooObject\",o.prototype.__init__=function(t){if(this._gl=t,this.handle=null,this._create(),null===this.handle)throw\"AssertionError: this.handle !== null\";return null},o.prototype._create=function(){var t;throw(t=new Error(\"NotImplementedError:\")).name=\"NotImplementedError\",t},((a=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,a.prototype._class_name=\"Program\",a.prototype.UTYPEMAP={float:\"uniform1fv\",vec2:\"uniform2fv\",vec3:\"uniform3fv\",vec4:\"uniform4fv\",int:\"uniform1iv\",ivec2:\"uniform2iv\",ivec3:\"uniform3iv\",ivec4:\"uniform4iv\",bool:\"uniform1iv\",bvec2:\"uniform2iv\",bvec3:\"uniform3iv\",bvec4:\"uniform4iv\",mat2:\"uniformMatrix2fv\",mat3:\"uniformMatrix3fv\",mat4:\"uniformMatrix4fv\",sampler1D:\"uniform1i\",sampler2D:\"uniform1i\",sampler3D:\"uniform1i\"},a.prototype.ATYPEMAP={float:\"vertexAttrib1f\",vec2:\"vertexAttrib2f\",vec3:\"vertexAttrib3f\",vec4:\"vertexAttrib4f\"},a.prototype.ATYPEINFO={float:[1,5126],vec2:[2,5126],vec3:[3,5126],vec4:[4,5126]},a.prototype._create=function(){return this.handle=this._gl.createProgram(),this.locations={},this._unset_variables=[],this._validated=!1,this._samplers={},this._attributes={},this._known_invalid=[],null},a.prototype.delete=function(){return this._gl.deleteProgram(this.handle),null},a.prototype.activate=function(){return this._gl.useProgram(this.handle),null},a.prototype.deactivate=function(){return this._gl.useProgram(0),null},a.prototype.set_shaders=function(t,e){var r,n,o,i,a,s,l,h,u,c,f,p,d;for(s=this._gl,this._linked=!1,f=[[t,d=s.createShader(s.VERTEX_SHADER),\"vertex\"],[e,a=s.createShader(s.FRAGMENT_SHADER),\"fragment\"]],h=0;h<2;h+=1)if(r=(c=f[h])[0],l=c[1],p=c[2],s.shaderSource(l,r),s.compileShader(l),u=s.getShaderParameter(l,s.COMPILE_STATUS),!g(u))throw i=s.getShaderInfoLog(l),(o=new Error(\"RuntimeError:\"+_(\"errors in \"+p+\" shader:\\n\",i))).name=\"RuntimeError\",o;if(s.attachShader(this.handle,d),s.attachShader(this.handle,a),s.linkProgram(this.handle),!g(s.getProgramParameter(this.handle,s.LINK_STATUS)))throw(n=new Error(\"RuntimeError:Program link error:\\n\"+s.getProgramInfoLog(this.handle))).name=\"RuntimeError\",n;return this._unset_variables=this._get_active_attributes_and_uniforms(),s.detachShader(this.handle,d),s.detachShader(this.handle,a),s.deleteShader(d),s.deleteShader(a),this._known_invalid=[],this._linked=!0,null},a.prototype._get_active_attributes_and_uniforms=function(){var t,e,r,n,o,i,a,s,l,h,u,c,f,p,d,y,m,x;for(s=this._gl,this.locations={},p=new window.RegExp(\"(\\\\w+)\\\\s*(\\\\[(\\\\d+)\\\\])\\\\s*\"),o=s.getProgramParameter(this.handle,s.ACTIVE_UNIFORMS),e=s.getProgramParameter(this.handle,s.ACTIVE_ATTRIBUTES),x=[],\"object\"!=typeof(y=[[t=[],e,s.getActiveAttrib,s.getAttribLocation],[x,o,s.getActiveUniform,s.getUniformLocation]])||Array.isArray(y)||(y=Object.keys(y)),m=0;m<y.length;m+=1)for(r=(d=y[m])[0],n=d[1],i=d[2],a=d[3],l=0;l<n;l+=1){if(c=(f=(h=i.call(s,this.handle,l)).name).match(p),g(c))for(f=c[1],u=0;u<h.size;u+=1)v.call(r,[f+\"[\"+u+\"]\",h.type]);else v.call(r,[f,h.type]);this.locations[f]=a.call(s,this.handle,f)}return _(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(e[0]);return o}.apply(this),function(){var t,e,r,n=[];for(\"object\"!=typeof(e=x)||Array.isArray(e)||(e=Object.keys(e)),r=0;r<e.length;r++)t=e[r],n.push(t[0]);return n}.apply(this))},a.prototype.set_texture=function(t,e){var r,n,o;if(!g(this._linked))throw(r=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",r;return n=m.call(this.locations,t,-1),g(n<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active texture\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),o=x.call(this._samplers).length,f(t,this._samplers)&&(o=this._samplers[t][this._samplers[t].length-1]),this._samplers[t]=[e._target,e.handle,o],this._gl.uniform1i(n,o),null)},a.prototype.set_uniform=function(t,e,r){var n,o,i,a,s,l,h;if(!g(this._linked))throw(i=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",i;if(s=m.call(this.locations,t,-1),g(s<0))return f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active uniform\")),null;if(f(t,this._unset_variables)&&E.call(this._unset_variables,t),o=1,w.call(e,\"mat\")||(n=m.call({int:\"float\",bool:\"float\"},e,b.call(e,\"ib\")),o=Math.floor(r.length/this.ATYPEINFO[n][0])),g(o>1))for(l=0;l<o;l+=1)f(t+\"[\"+l+\"]\",this._unset_variables)&&f(h=t+\"[\"+l+\"]\",this._unset_variables)&&E.call(this._unset_variables,h);return a=this.UTYPEMAP[e],this.activate(),w.call(e,\"mat\")?this._gl[a](s,!1,r):this._gl[a](s,r),null},a.prototype.set_attribute=function(t,e,r,n,o){var i,a,s,l,u,_;if(n=void 0===n?0:n,o=void 0===o?0:o,!g(this._linked))throw(a=new Error(\"RuntimeError:Cannot set attribute when program has no code\")).name=\"RuntimeError\",a;return u=r instanceof h,l=m.call(this.locations,t,-1),g(l<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),g(u)&&g(o>0)||c.log(\"Variable \"+t+\" is not an active attribute\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),g(u)?(s=\"vertexAttribPointer\",i=[(_=this.ATYPEINFO[e])[0],_[1],this._gl.FALSE,n,o],this._attributes[t]=[r.handle,l,s,i]):(s=this.ATYPEMAP[e],this._attributes[t]=[0,l,s,r]),null)},a.prototype._pre_draw=function(){var t,e,r,n,o,i,a,s,l,h,u,c;for(c in this.activate(),a=this._samplers)a.hasOwnProperty(c)&&(l=(i=c=a[c])[0],s=i[1],h=i[2],this._gl.activeTexture(_(this._gl.TEXTURE0,h)),this._gl.bindTexture(l,s));for(c in o=this._attributes)o.hasOwnProperty(c)&&(u=(n=c=o[c])[0],e=n[1],r=n[2],t=n[3],g(u)?(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,u),this._gl.enableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))):(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,null),this._gl.disableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))));return g(this._validated)||(this._validated=!0,this._validate()),null},a.prototype._validate=function(){var t;if(this._unset_variables.length&&c.log(\"Program has unset variables: \"+this._unset_variables),this._gl.validateProgram(this.handle),!g(this._gl.getProgramParameter(this.handle,this._gl.VALIDATE_STATUS)))throw c.log(this._gl.getProgramInfoLog(this.handle)),(t=new Error(\"RuntimeError:Program validation error\")).name=\"RuntimeError\",t;return null},a.prototype.draw=function(t,e){var r,n,o,a,s;if(!g(this._linked))throw(n=new Error(\"RuntimeError:Cannot draw program if code has not been set\")).name=\"RuntimeError\",n;return u(this._gl,\"before draw\"),g(e instanceof i)?(this._pre_draw(),e.activate(),r=e._buffer_size/2,a=this._gl.UNSIGNED_SHORT,this._gl.drawElements(t,r,a,0),e.deactivate()):(o=(s=e)[0],r=s[1],g(r)&&(this._pre_draw(),this._gl.drawArrays(t,o,r))),u(this._gl,\"after draw\"),null},((n=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,n.prototype._class_name=\"Buffer\",n.prototype._target=null,n.prototype._usage=35048,n.prototype._create=function(){return this.handle=this._gl.createBuffer(),this._buffer_size=0,null},n.prototype.delete=function(){return this._gl.deleteBuffer(this.handle),null},n.prototype.activate=function(){return this._gl.bindBuffer(this._target,this.handle),null},n.prototype.deactivate=function(){return this._gl.bindBuffer(this._target,null),null},n.prototype.set_size=function(t){return p(t,this._buffer_size)||(this.activate(),this._gl.bufferData(this._target,t,this._usage),this._buffer_size=t),null},n.prototype.set_data=function(t,e){return this.activate(),this._gl.bufferSubData(this._target,t,e),null},(h=function(){d(this,arguments)}).prototype=Object.create(n.prototype),h.prototype._base_class=n.prototype,h.prototype._class_name=\"VertexBuffer\",h.prototype._target=34962,(i=function(){d(this,arguments)}).prototype=Object.create(n.prototype),i.prototype._base_class=n.prototype,i.prototype._class_name=\"IndexBuffer\",i.prototype._target=34963,((s=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,s.prototype._class_name=\"Texture2D\",s.prototype._target=3553,s.prototype._types={Int8Array:5120,Uint8Array:5121,Int16Array:5122,Uint16Array:5123,Int32Array:5124,Uint32Array:5125,Float32Array:5126},s.prototype._create=function(){return this.handle=this._gl.createTexture(),this._shape_format=null,null},s.prototype.delete=function(){return this._gl.deleteTexture(this.handle),null},s.prototype.activate=function(){return this._gl.bindTexture(this._target,this.handle),null},s.prototype.deactivate=function(){return this._gl.bindTexture(this._target,0),null},s.prototype._get_alignment=function(t){var e,r,n;for(\"object\"!=typeof(r=[4,8,2,1])||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n+=1)if(e=r[n],p(t%e,0))return e;return null},s.prototype.set_wrapping=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_S,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_T,e),null},s.prototype.set_interpolation=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_MIN_FILTER,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_MAG_FILTER,e),null},s.prototype.set_size=function(t,e){var r,n,o;return r=(n=t)[0],o=n[1],p([r,o,e],this._shape_format)||(this._shape_format=[r,o,e],this.activate(),this._gl.texImage2D(this._target,0,e,o,r,0,e,this._gl.UNSIGNED_BYTE,null)),this.u_shape=[r,o],null},s.prototype.set_data=function(t,e,r){var n,o,i,a,s,l,h,u,c,_;if(p(e.length,2)&&(e=[e[0],e[1],1]),this.activate(),i=this._shape_format[2],s=(l=e)[0],u=l[1],l[2],_=(h=t)[0],c=h[1],null===(a=m.call(this._types,r.constructor.name,null)))throw(o=new Error(\"ValueError:Type \"+r.constructor.name+\" not allowed for texture\")).name=\"ValueError\",o;return n=this._get_alignment(y(e[e.length-2],e[e.length-1])),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,n),this._gl.texSubImage2D(this._target,0,c,_,u,s,i,a,r),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,4),null},((l=function(){d(this,arguments)}).prototype=Object.create(s.prototype))._base_class=s.prototype,l.prototype._class_name=\"Texture3DLike\",l.prototype.GLSL_SAMPLE_NEAREST=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float zindex = floor(texcoord.z * shape.z);\\n\\n            // Do a lookup in the 2D texture\\n            float u = (mod(zindex, ncols) + texcoord.x) / ncols;\\n            float v = (floor(zindex / ncols) + texcoord.y) / nrows;\\n\\n            return texture2D(tex, vec2(u,v));\\n        }\\n    \",l.prototype.GLSL_SAMPLE_LINEAR=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float z = texcoord.z * shape.z;\\n            float zindex1 = floor(z);\\n            float u1 = (mod(zindex1, ncols) + texcoord.x) / ncols;\\n            float v1 = (floor(zindex1 / ncols) + texcoord.y) / nrows;\\n\\n            float zindex2 = zindex1 + 1.0;\\n            float u2 = (mod(zindex2, ncols) + texcoord.x) / ncols;\\n            float v2 = (floor(zindex2 / ncols) + texcoord.y) / nrows;\\n\\n            vec4 s1 = texture2D(tex, vec2(u1, v1));\\n            vec4 s2 = texture2D(tex, vec2(u2, v2));\\n\\n            return s1 * (zindex2 - z) + s2 * (z - zindex1);\\n        }\\n    \",l.prototype._get_tile_info=function(t){var e,r,n,o;if(r=this._gl.getParameter(this._gl.MAX_TEXTURE_SIZE),o=Math.floor(r/t[1]),o=Math.min(o,t[0]),n=window.Math.ceil(t[0]/o),g(y(n,t[2])>r))throw(e=new Error(\"RuntimeError:Cannot fit 3D data with shape \"+t+\" onto simulated 2D texture.\")).name=\"RuntimeError\",e;return[o,n]},l.prototype.set_size=function(t,e){var r,n,o,i;return n=(i=this._get_tile_info(t))[0],r=i[1],o=[y(t[1],n),y(t[2],r)],l.prototype._base_class.set_size.call(this,o,e),this.u_shape=[t[0],t[1],t[2]],this.u_tiles=[r,n],null},l.prototype.set_data=function(t,e,r){var n,o,i,a,s,h,u,c,_,f,d,v;if(p(e.length,3)&&(e=[e[0],e[1],e[2],1]),!function(t){for(var e=0;e<t.length;e++)if(!g(t[e]))return!1;return!0}(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(p(e,0));return o}.apply(this)))throw(i=new Error(\"ValueError:Texture3DLike does not support nonzero offset (for now)\")).name=\"ValueError\",i;if(s=(c=this._get_tile_info(e))[0],a=c[1],u=[y(e[1],s),y(e[2],a),e[3]],p(a,1))l.prototype._base_class.set_data.call(this,[0,0],u,r);else for(v=new(0,r.constructor)(y(y(u[0],u[1]),u[2])),l.prototype._base_class.set_data.call(this,[0,0],u,v),d=0;d<e[0];d+=1)h=(_=[Math.floor(d/a),d%a])[0],n=_[1],o=Math.floor(r.length/e[0]),f=r.slice(y(d,o),y(d+1,o)),l.prototype._base_class.set_data.call(this,[y(h,e[1]),y(n,e[2])],e.slice(1),f);return null},e.exports={Buffer:n,GlooObject:o,IndexBuffer:i,Program:a,Texture2D:s,Texture3DLike:l,VertexBuffer:h,check_error:u,console:c}},\n",
+       "      374: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(20),s=e(72);class i{constructor(e,t){this.gl=e,this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.init()}set_data_changed(e){e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,a){if(0==t.length)return!0;const[r,i,n]=[0,1,2];let l=1,h=1,[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]);if(isNaN(o[0]+o[1]+o[2]+_[0]+_[1]+_[2]))return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;if(l=100/Math.min(Math.max(Math.abs(o[1]-o[0]),1e-12),1e12),h=100/Math.min(Math.max(Math.abs(_[1]-_[0]),1e-12),1e12),[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]),Math.abs(o[1]-o[0]-(o[2]-o[1]))>1e-6||Math.abs(_[1]-_[0]-(_[2]-_[1]))>1e-6)return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;const[c,u]=[(o[1]-o[0])/l,(_[1]-_[0])/h],{width:d,height:g}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,f={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:d,height:g,dx:o[0]/c,dy:_[0]/u,sx:c,sy:u};return this.draw(t,a,f),!0}}function n(e,t){const a=new Float32Array(e);for(let r=0,s=e;r<s;r++)a[r]=t;return a}function l(e,t){return void 0!==e[t].spec.value}a.BaseGLGlyph=i,i.__name__=\"BaseGLGlyph\",a.line_width=function(e){return e<2&&(e=Math.sqrt(2*e)),e},a.fill_array_with_float=n,a.fill_array_with_vec=function(e,t,a){const r=new Float32Array(e*t);for(let s=0;s<e;s++)for(let e=0;e<t;e++)r[s*t+e]=a[e];return r},a.visual_prop_is_singular=l,a.attach_float=function(e,t,a,r,s,i){if(s.doit)if(l(s,i))t.used=!1,e.set_attribute(a,\"float\",s[i].value());else{t.used=!0;const n=new Float32Array(s.get_array(i));t.set_size(4*r),t.set_data(0,n),e.set_attribute(a,\"float\",t)}else t.used=!1,e.set_attribute(a,\"float\",[0])},a.attach_color=function(e,t,a,s,i,h){let o;const _=h+\"_color\",c=h+\"_alpha\";if(i.doit)if(l(i,_)&&l(i,c))t.used=!1,o=r.color2rgba(i[_].value(),i[c].value()),e.set_attribute(a,\"vec4\",o);else{let h,u;t.used=!0,u=l(i,_)?(()=>{const e=[];for(let t=0,a=s;t<a;t++)e.push(i[_].value());return e})():i.get_array(_),h=l(i,c)?n(s,i[c].value()):i.get_array(c);const d=new Float32Array(4*s);for(let e=0,t=s;e<t;e++){o=r.color2rgba(u[e],h[e]);for(let t=0,a=4;t<a;t++)d[4*e+t]=o[t]}t.set_size(4*s*4),t.set_data(0,d),e.set_attribute(a,\"vec4\",t)}else t.used=!1,e.set_attribute(a,\"vec4\",[0,0,0,0])}},\n",
+       "      375: function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.vertex_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size, u_offset;\\nuniform vec2 u_scale_aspect;\\nuniform float u_scale_length;\\n\\nuniform vec4 u_color;\\nuniform float u_antialias;\\nuniform float u_length;\\nuniform float u_linewidth;\\nuniform float u_dash_index;\\nuniform float u_closed;\\n\\nattribute vec2 a_position;\\nattribute vec4 a_tangents;\\nattribute vec2 a_segment;\\nattribute vec2 a_angles;\\nattribute vec2 a_texcoord;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\nfloat cross(in vec2 v1, in vec2 v2)\\n{\\n    return v1.x*v2.y - v1.y*v2.x;\\n}\\n\\nfloat signed_distance(in vec2 v1, in vec2 v2, in vec2 v3)\\n{\\n    return cross(v2-v1,v1-v3) / length(v2-v1);\\n}\\n\\nvoid rotate( in vec2 v, in float alpha, out vec2 result )\\n{\\n    float c = cos(alpha);\\n    float s = sin(alpha);\\n    result = vec2( c*v.x - s*v.y,\\n                   s*v.x + c*v.y );\\n}\\n\\nvoid main()\\n{\\n    bool closed = (u_closed > 0.0);\\n\\n    // Attributes and uniforms to varyings\\n    v_color = u_color;\\n    v_linewidth = u_linewidth;\\n    v_segment = a_segment * u_scale_length;\\n    v_length = u_length * u_scale_length;\\n\\n    // Scale to map to pixel coordinates. The original algorithm from the paper\\n    // assumed isotropic scale. We obviously do not have this.\\n    vec2 abs_scale_aspect = abs(u_scale_aspect);\\n    vec2 abs_scale = u_scale_length * abs_scale_aspect;\\n\\n    // Correct angles for aspect ratio\\n    vec2 av;\\n    av = vec2(1.0, tan(a_angles.x)) / abs_scale_aspect;\\n    v_angles.x = atan(av.y, av.x);\\n    av = vec2(1.0, tan(a_angles.y)) / abs_scale_aspect;\\n    v_angles.y = atan(av.y, av.x);\\n\\n    // Thickness below 1 pixel are represented using a 1 pixel thickness\\n    // and a modified alpha\\n    v_color.a = min(v_linewidth, v_color.a);\\n    v_linewidth = max(v_linewidth, 1.0);\\n\\n    // If color is fully transparent we just will discard the fragment anyway\\n    if( v_color.a <= 0.0 ) {\\n        gl_Position = vec4(0.0,0.0,0.0,1.0);\\n        return;\\n    }\\n\\n    // This is the actual half width of the line\\n    float w = ceil(u_antialias+v_linewidth)/2.0;\\n\\n    vec2 position = (a_position + u_offset) * abs_scale;\\n\\n    vec2 t1 = normalize(a_tangents.xy * abs_scale_aspect);  // note the scaling for aspect ratio here\\n    vec2 t2 = normalize(a_tangents.zw * abs_scale_aspect);\\n    float u = a_texcoord.x;\\n    float v = a_texcoord.y;\\n    vec2 o1 = vec2( +t1.y, -t1.x);\\n    vec2 o2 = vec2( +t2.y, -t2.x);\\n\\n    // This is a join\\n    // ----------------------------------------------------------------\\n    if( t1 != t2 ) {\\n        float angle = atan (t1.x*t2.y-t1.y*t2.x, t1.x*t2.x+t1.y*t2.y);  // Angle needs recalculation for some reason\\n        vec2 t  = normalize(t1+t2);\\n        vec2 o  = vec2( + t.y, - t.x);\\n\\n        if ( u_dash_index > 0.0 )\\n        {\\n            // Broken angle\\n            // ----------------------------------------------------------------\\n            if( (abs(angle) > THETA) ) {\\n                position += v * w * o / cos(angle/2.0);\\n                float s = sign(angle);\\n                if( angle < 0.0 ) {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position -= 2.0 * w * t1 / sin(angle);\\n                            u -= 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position += 2.0 * w * t2 / sin(angle);\\n                            u += 2.0*w / sin(angle);\\n                        }\\n                    }\\n                } else {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position += 2.0 * w * t1 / sin(angle);\\n                            u += 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position -= 2.0 * w * t2 / sin(angle);\\n                            u -= 2.0*w / sin(angle);\\n                        }\\n                    }\\n                }\\n                // Continuous angle\\n                // ------------------------------------------------------------\\n            } else {\\n                position += v * w * o / cos(angle/2.0);\\n                if( u == +1.0 ) u = v_segment.y;\\n                else            u = v_segment.x;\\n            }\\n        }\\n\\n        // Solid line\\n        // --------------------------------------------------------------------\\n        else\\n        {\\n            position.xy += v * w * o / cos(angle/2.0);\\n            if( angle < 0.0 ) {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            } else {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            }\\n        }\\n\\n    // This is a line start or end (t1 == t2)\\n    // ------------------------------------------------------------------------\\n    } else {\\n        position += v * w * o1;\\n        if( u == -1.0 ) {\\n            u = v_segment.x - w;\\n            position -= w * t1;\\n        } else {\\n            u = v_segment.y + w;\\n            position += w * t2;\\n        }\\n    }\\n\\n    // Miter distance\\n    // ------------------------------------------------------------------------\\n    vec2 t;\\n    vec2 curr = a_position * abs_scale;\\n    if( a_texcoord.x < 0.0 ) {\\n        vec2 next = curr + t2*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, +v_angles.x/2.0, t);\\n        v_miter.x = signed_distance(curr, curr+t, position);\\n\\n        rotate( t2, +v_angles.y/2.0, t);\\n        v_miter.y = signed_distance(next, next+t, position);\\n    } else {\\n        vec2 prev = curr - t1*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, -v_angles.x/2.0,t);\\n        v_miter.x = signed_distance(prev, prev+t, position);\\n\\n        rotate( t2, -v_angles.y/2.0,t);\\n        v_miter.y = signed_distance(curr, curr+t, position);\\n    }\\n\\n    if (!closed && v_segment.x <= 0.0) {\\n        v_miter.x = 1e10;\\n    }\\n    if (!closed && v_segment.y >= v_length)\\n    {\\n        v_miter.y = 1e10;\\n    }\\n\\n    v_texcoord = vec2( u, v*w );\\n\\n    // Calculate position in device coordinates. Note that we\\n    // already scaled with abs scale above.\\n    vec2 normpos = position * sign(u_scale_aspect);\\n    normpos += 0.5;  // make up for Bokeh's offset\\n    normpos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(normpos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n}\\n\"},\n",
+       "      376: function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0}),e.fragment_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform sampler2D u_dash_atlas;\\n\\nuniform vec2 u_linecaps;\\nuniform float u_miter_limit;\\nuniform float u_linejoin;\\nuniform float u_antialias;\\nuniform float u_dash_phase;\\nuniform float u_dash_period;\\nuniform float u_dash_index;\\nuniform vec2 u_dash_caps;\\nuniform float u_closed;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\n// Compute distance to cap ----------------------------------------------------\\nfloat cap( int type, float dx, float dy, float t, float linewidth )\\n{\\n    float d = 0.0;\\n    dx = abs(dx);\\n    dy = abs(dy);\\n    if      (type == 0)  discard;  // None\\n    else if (type == 1)  d = sqrt(dx*dx+dy*dy);  // Round\\n    else if (type == 3)  d = (dx+abs(dy));  // Triangle in\\n    else if (type == 2)  d = max(abs(dy),(t+dx-abs(dy)));  // Triangle out\\n    else if (type == 4)  d = max(dx,dy);  // Square\\n    else if (type == 5)  d = max(dx+t,dy);  // Butt\\n    return d;\\n}\\n\\n// Compute distance to join -------------------------------------------------\\nfloat join( in int type, in float d, in vec2 segment, in vec2 texcoord, in vec2 miter,\\n           in float linewidth )\\n{\\n    // texcoord.x is distance from start\\n    // texcoord.y is distance from centerline\\n    // segment.x and y indicate the limits (as for texcoord.x) for this segment\\n\\n    float dx = texcoord.x;\\n\\n    // Round join\\n    if( type == 1 ) {\\n        if (dx < segment.x) {\\n            d = max(d,length( texcoord - vec2(segment.x,0.0)));\\n            //d = length( texcoord - vec2(segment.x,0.0));\\n        } else if (dx > segment.y) {\\n            d = max(d,length( texcoord - vec2(segment.y,0.0)));\\n            //d = length( texcoord - vec2(segment.y,0.0));\\n        }\\n    }\\n    // Bevel join\\n    else if ( type == 2 ) {\\n        if (dx < segment.x) {\\n            vec2 x = texcoord - vec2(segment.x,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n\\n        } else if (dx > segment.y) {\\n            vec2 x = texcoord - vec2(segment.y,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n        }\\n        /*  Original code for bevel which does not work for us\\n        if( (dx < segment.x) ||  (dx > segment.y) )\\n            d = max(d, min(abs(x.x),abs(x.y)));\\n        */\\n    }\\n\\n    return d;\\n}\\n\\nvoid main()\\n{\\n    // If color is fully transparent we just discard the fragment\\n    if( v_color.a <= 0.0 ) {\\n        discard;\\n    }\\n\\n    // Test if dash pattern is the solid one (0)\\n    bool solid =  (u_dash_index == 0.0);\\n\\n    // Test if path is closed\\n    bool closed = (u_closed > 0.0);\\n\\n    vec4 color = v_color;\\n    float dx = v_texcoord.x;\\n    float dy = v_texcoord.y;\\n    float t = v_linewidth/2.0-u_antialias;\\n    float width = 1.0;  //v_linewidth; original code had dashes scale with line width, we do not\\n    float d = 0.0;\\n\\n    vec2 linecaps = u_linecaps;\\n    vec2 dash_caps = u_dash_caps;\\n    float line_start = 0.0;\\n    float line_stop = v_length;\\n\\n    // Apply miter limit; fragments too far into the miter are simply discarded\\n    if( (dx < v_segment.x) || (dx > v_segment.y) ) {\\n        float into_miter = max(v_segment.x - dx, dx - v_segment.y);\\n        if (into_miter > u_miter_limit*v_linewidth/2.0)\\n          discard;\\n    }\\n\\n    // Solid line --------------------------------------------------------------\\n    if( solid ) {\\n        d = abs(dy);\\n        if( (!closed) && (dx < line_start) ) {\\n            d = cap( int(u_linecaps.x), abs(dx), abs(dy), t, v_linewidth );\\n        }\\n        else if( (!closed) &&  (dx > line_stop) ) {\\n            d = cap( int(u_linecaps.y), abs(dx)-line_stop, abs(dy), t, v_linewidth );\\n        }\\n        else {\\n            d = join( int(u_linejoin), abs(dy), v_segment, v_texcoord, v_miter, v_linewidth );\\n        }\\n\\n    // Dash line --------------------------------------------------------------\\n    } else {\\n        float segment_start = v_segment.x;\\n        float segment_stop  = v_segment.y;\\n        float segment_center= (segment_start+segment_stop)/2.0;\\n        float freq          = u_dash_period*width;\\n        float u = mod( dx + u_dash_phase*width, freq);\\n        vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n        float dash_center= tex.x * width;\\n        float dash_type  = tex.y;\\n        float _start = tex.z * width;\\n        float _stop  = tex.a * width;\\n        float dash_start = dx - u + _start;\\n        float dash_stop  = dx - u + _stop;\\n\\n        // Compute extents of the first dash (the one relative to v_segment.x)\\n        // Note: this could be computed in the vertex shader\\n        if( (dash_stop < segment_start) && (dash_caps.x != 5.0) ) {\\n            float u = mod(segment_start + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_start - u + _start;\\n            dash_stop = segment_start - u + _stop;\\n        }\\n\\n        // Compute extents of the last dash (the one relatives to v_segment.y)\\n        // Note: This could be computed in the vertex shader\\n        else if( (dash_start > segment_stop)  && (dash_caps.y != 5.0) ) {\\n            float u = mod(segment_stop + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_stop - u + _start;\\n            dash_stop  = segment_stop - u + _stop;\\n        }\\n\\n        // This test if the we are dealing with a discontinuous angle\\n        bool discontinuous = ((dx <  segment_center) && abs(v_angles.x) > THETA) ||\\n                             ((dx >= segment_center) && abs(v_angles.y) > THETA);\\n        //if( dx < line_start) discontinuous = false;\\n        //if( dx > line_stop)  discontinuous = false;\\n\\n        float d_join = join( int(u_linejoin), abs(dy),\\n                            v_segment, v_texcoord, v_miter, v_linewidth );\\n\\n        // When path is closed, we do not have room for linecaps, so we make room\\n        // by shortening the total length\\n        if (closed) {\\n             line_start += v_linewidth/2.0;\\n             line_stop  -= v_linewidth/2.0;\\n        }\\n\\n        // We also need to take antialias area into account\\n        //line_start += u_antialias;\\n        //line_stop  -= u_antialias;\\n\\n        // Check is dash stop is before line start\\n        if( dash_stop <= line_start ) {\\n            discard;\\n        }\\n        // Check is dash start is beyond line stop\\n        if( dash_start >= line_stop ) {\\n            discard;\\n        }\\n\\n        // Check if current dash start is beyond segment stop\\n        if( discontinuous ) {\\n            // Dash start is beyond segment, we discard\\n            if( (dash_start > segment_stop) ) {\\n                discard;\\n                //gl_FragColor = vec4(1.0,0.0,0.0,.25); return;\\n            }\\n\\n            // Dash stop is before segment, we discard\\n            if( (dash_stop < segment_start) ) {\\n                discard;  //gl_FragColor = vec4(0.0,1.0,0.0,.25); return;\\n            }\\n\\n            // Special case for round caps (nicer with this)\\n            if( dash_caps.x == 1.0 ) {\\n                if( (u > _stop) && (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for round caps  (nicer with this)\\n            if( dash_caps.y == 1.0 ) {\\n                if( (u < _start) && (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.x != 1.0) && (dash_caps.x != 5.0) ) {\\n                if( (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0) ) {\\n                    float a = v_angles.x/2.0;\\n                    float x = (segment_start-dx)*cos(a) - dy*sin(a);\\n                    float y = (segment_start-dx)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the cap into square to avoid holes\\n                    dash_caps.x = 4.0;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.y != 1.0) && (dash_caps.y != 5.0) ) {\\n                if( (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0) ) {\\n                    float a = v_angles.y/2.0;\\n                    float x = (dx-segment_stop)*cos(a) - dy*sin(a);\\n                    float y = (dx-segment_stop)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the caps into square to avoid holes\\n                    dash_caps.y = 4.0;\\n                }\\n            }\\n        }\\n\\n        // Line cap at start\\n        if( (dx < line_start) && (dash_start < line_start) && (dash_stop > line_start) ) {\\n            d = cap( int(linecaps.x), dx-line_start, dy, t, v_linewidth);\\n        }\\n        // Line cap at stop\\n        else if( (dx > line_stop) && (dash_stop > line_stop) && (dash_start < line_stop) ) {\\n            d = cap( int(linecaps.y), dx-line_stop, dy, t, v_linewidth);\\n        }\\n        // Dash cap left - dash_type = -1, 0 or 1, but there may be roundoff errors\\n        else if( dash_type < -0.5 ) {\\n            d = cap( int(dash_caps.y), abs(u-dash_center), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash cap right\\n        else if( dash_type > 0.5 ) {\\n            d = cap( int(dash_caps.x), abs(dash_center-u), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash body (plain)\\n        else {// if( dash_type > -0.5 &&  dash_type < 0.5) {\\n            d = abs(dy);\\n        }\\n\\n        // Line join\\n        if( (dx > line_start) && (dx < line_stop)) {\\n            if( (dx <= segment_start) && (dash_start <= segment_start)\\n                && (dash_stop >= segment_start) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.x;\\n                float f = abs( (segment_start - dx)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( (dx > segment_stop) && (dash_start <= segment_stop)\\n                     && (dash_stop >= segment_stop) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.y;\\n                float f = abs((dx - segment_stop)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( dx < (segment_start - v_linewidth/2.)) {\\n                discard;\\n            }\\n            else if( dx > (segment_stop + v_linewidth/2.)) {\\n                discard;\\n            }\\n        }\\n        else if( dx < (segment_start - v_linewidth/2.)) {\\n            discard;\\n        }\\n        else if( dx > (segment_stop + v_linewidth/2.)) {\\n            discard;\\n        }\\n    }\\n\\n    // Distance to border ------------------------------------------------------\\n    d = d - t;\\n    if( d < 0.0 ) {\\n        gl_FragColor = color;\\n    } else {\\n        d /= u_antialias;\\n        gl_FragColor = vec4(color.rgb, exp(-d*d)*color.a);\\n    }\\n}\\n\"},\n",
+       "      377: function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(373),r=t(374),o=t(378),_=t(379),h=t(213),l=t(12),n=t(72);class g extends r.BaseGLGlyph{init(){const{gl:t}=this,s=o.vertex_shader,e=_.fragment_shader(this._marker_code);this.prog=new a.Program(t),this.prog.set_shaders(s,e),this.vbo_x=new a.VertexBuffer(t),this.prog.set_attribute(\"a_x\",\"float\",this.vbo_x),this.vbo_y=new a.VertexBuffer(t),this.prog.set_attribute(\"a_y\",\"float\",this.vbo_y),this.vbo_s=new a.VertexBuffer(t),this.prog.set_attribute(\"a_size\",\"float\",this.vbo_s),this.vbo_a=new a.VertexBuffer(t),this.prog.set_attribute(\"a_angle\",\"float\",this.vbo_a),this.vbo_linewidth=new a.VertexBuffer(t),this.vbo_fg_color=new a.VertexBuffer(t),this.vbo_bg_color=new a.VertexBuffer(t),this.index_buffer=new a.IndexBuffer(t)}draw(t,s,e){const i=s.glglyph,{nvertices:a}=i;if(i.data_changed){if(!isFinite(e.dx)||!isFinite(e.dy))return;i._baked_offset=[e.dx,e.dy],i._set_data(a),i.data_changed=!1}else this.glyph instanceof h.CircleView&&null!=this.glyph._radius&&(null==this.last_trans||e.sx!=this.last_trans.sx||e.sy!=this.last_trans.sy)&&(this.last_trans=e,this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))));this.visuals_changed&&(this._set_visuals(a),this.visuals_changed=!1);const r=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[e.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[e.width,e.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[e.dx-r[0],e.dy-r[1]]),this.prog.set_uniform(\"u_scale\",\"vec2\",[e.sx,e.sy]),this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a),0!=t.length)if(t.length===a)this.prog.draw(this.gl.POINTS,[0,a]);else if(a<65535){const s=window.navigator.userAgent;s.indexOf(\"MSIE \")+s.indexOf(\"Trident/\")+s.indexOf(\"Edge/\")>0&&n.logger.warn(\"WebGL warning: IE is known to produce 1px sprites whith selections.\"),this.index_buffer.set_size(2*t.length),this.index_buffer.set_data(0,new Uint16Array(t)),this.prog.draw(this.gl.POINTS,this.index_buffer)}else{const s=64e3,e=[];for(let t=0,i=Math.ceil(a/s);t<i;t++)e.push([]);for(let i=0,a=t.length;i<a;i++){const a=t[i]%s;e[Math.floor(t[i]/s)].push(a)}for(let t=0,a=e.length;t<a;t++){const a=new Uint16Array(e[t]),r=t*s*4;0!==a.length&&(this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x,0,r),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y,0,r),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s,0,r),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a,0,r),this.vbo_linewidth.used&&this.prog.set_attribute(\"a_linewidth\",\"float\",this.vbo_linewidth,0,r),this.vbo_fg_color.used&&this.prog.set_attribute(\"a_fg_color\",\"vec4\",this.vbo_fg_color,0,4*r),this.vbo_bg_color.used&&this.prog.set_attribute(\"a_bg_color\",\"vec4\",this.vbo_bg_color,0,4*r),this.index_buffer.set_size(2*a.length),this.index_buffer.set_data(0,a),this.prog.draw(this.gl.POINTS,this.index_buffer))}}}_set_data(t){const s=4*t;this.vbo_x.set_size(s),this.vbo_y.set_size(s),this.vbo_a.set_size(s),this.vbo_s.set_size(s);const e=new Float64Array(this.glyph._x),i=new Float64Array(this.glyph._y);for(let s=0,a=t;s<a;s++)e[s]+=this._baked_offset[0],i[s]+=this._baked_offset[1];this.vbo_x.set_data(0,new Float32Array(e)),this.vbo_y.set_data(0,new Float32Array(i)),null!=this.glyph._angle&&this.vbo_a.set_data(0,new Float32Array(this.glyph._angle)),this.glyph instanceof h.CircleView&&null!=this.glyph._radius?this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))):this.vbo_s.set_data(0,new Float32Array(this.glyph._size))}_set_visuals(t){r.attach_float(this.prog,this.vbo_linewidth,\"a_linewidth\",t,this.glyph.visuals.line,\"line_width\"),r.attach_color(this.prog,this.vbo_fg_color,\"a_fg_color\",t,this.glyph.visuals.line,\"line\"),r.attach_color(this.prog,this.vbo_bg_color,\"a_bg_color\",t,this.glyph.visuals.fill,\"fill\"),this.prog.set_uniform(\"u_antialias\",\"float\",[.8])}}function f(t){return class extends g{get _marker_code(){return t}}}e.MarkerGLGlyph=g,g.__name__=\"MarkerGLGlyph\";const d=i.__importStar(t(379));e.CircleGLGlyph=f(d.circle),e.SquareGLGlyph=f(d.square),e.DiamondGLGlyph=f(d.diamond),e.TriangleGLGlyph=f(d.triangle),e.InvertedTriangleGLGlyph=f(d.invertedtriangle),e.HexGLGlyph=f(d.hex),e.CrossGLGlyph=f(d.cross),e.CircleCrossGLGlyph=f(d.circlecross),e.SquareCrossGLGlyph=f(d.squarecross),e.DiamondCrossGLGlyph=f(d.diamondcross),e.XGLGlyph=f(d.x),e.CircleXGLGlyph=f(d.circlex),e.SquareXGLGlyph=f(d.squarex),e.AsteriskGLGlyph=f(d.asterisk)},\n",
+       "      378: function _(n,i,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.vertex_shader=\"\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\n//\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform vec2 u_offset;\\nuniform vec2 u_scale;\\nuniform float u_antialias;\\n//\\nattribute float a_x;\\nattribute float a_y;\\nattribute float a_size;\\nattribute float a_angle;  // in radians\\nattribute float a_linewidth;\\nattribute vec4  a_fg_color;\\nattribute vec4  a_bg_color;\\n//\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying vec2  v_rotation;\\n\\nvoid main (void)\\n{\\n    v_size = a_size * u_pixel_ratio;\\n    v_linewidth = a_linewidth * u_pixel_ratio;\\n    v_fg_color = a_fg_color;\\n    v_bg_color = a_bg_color;\\n    v_rotation = vec2(cos(-a_angle), sin(-a_angle));\\n    // Calculate position - the -0.5 is to correct for canvas origin\\n    vec2 pos = (vec2(a_x, a_y) + u_offset) * u_scale; // in pixels\\n    pos += 0.5;  // make up for Bokeh's offset\\n    pos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(pos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n    gl_PointSize = SQRT_2 * v_size + 2.0 * (v_linewidth + 1.5*u_antialias);\\n}\\n\"},\n",
+       "      379: function _(a,n,s){Object.defineProperty(s,\"__esModule\",{value:!0}),s.fragment_shader=a=>`\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float PI = 3.14159265358979323846264;\\n//\\nuniform float u_antialias;\\n//\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2  v_rotation;\\n\\n${a}\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 fg_color, vec4 bg_color)\\n{\\n    vec4 frag_color;\\n    float t = linewidth/2.0 - antialias;\\n    float signed_distance = distance;\\n    float border_distance = abs(signed_distance) - t;\\n    float alpha = border_distance/antialias;\\n    alpha = exp(-alpha*alpha);\\n\\n    // If fg alpha is zero, it probably means no outline. To avoid a dark outline\\n    // shining through due to aa, we set the fg color to the bg color. Avoid if (i.e. branching).\\n    float select = float(bool(fg_color.a));\\n    fg_color.rgb = select * fg_color.rgb + (1.0  - select) * bg_color.rgb;\\n    // Similarly, if we want a transparent bg\\n    select = float(bool(bg_color.a));\\n    bg_color.rgb = select * bg_color.rgb + (1.0  - select) * fg_color.rgb;\\n\\n    if( border_distance < 0.0)\\n        frag_color = fg_color;\\n    else if( signed_distance < 0.0 ) {\\n        frag_color = mix(bg_color, fg_color, sqrt(alpha));\\n    } else {\\n        if( abs(signed_distance) < (linewidth/2.0 + antialias) ) {\\n            frag_color = vec4(fg_color.rgb, fg_color.a * alpha);\\n        } else {\\n            discard;\\n        }\\n    }\\n    return frag_color;\\n}\\n\\nvoid main()\\n{\\n    vec2 P = gl_PointCoord.xy - vec2(0.5, 0.5);\\n    P = vec2(v_rotation.x*P.x - v_rotation.y*P.y,\\n             v_rotation.y*P.x + v_rotation.x*P.y);\\n    float point_size = SQRT_2*v_size  + 2.0 * (v_linewidth + 1.5*u_antialias);\\n    float distance = marker(P*point_size, v_size);\\n    gl_FragColor = outline(distance, v_linewidth, u_antialias, v_fg_color, v_bg_color);\\n    //gl_FragColor.rgb *= gl_FragColor.a;  // pre-multiply alpha\\n}\\n`,s.circle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return length(P) - size/2.0;\\n}\\n\",s.square=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n\",s.diamond=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    return r1 / SQRT_2;\\n}\\n\",s.hex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    vec2 q = abs(P);\\n    return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n\",s.triangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y -= size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.invertedtriangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y += size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = - P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.cross='\\nfloat marker(vec2 P, float size)\\n{\\n    float square = max(abs(P.x), abs(P.y)) - size / 2.5;   // 2.5 is a tweak\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(square, cross);\\n}\\n',s.circlecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.squarecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.diamondcross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    diamond /= SQRT_2;\\n    float c1 = max(diamond, s1);\\n    float c2 = max(diamond, s2);\\n    float c3 = max(diamond, s3);\\n    float c4 = max(diamond, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.x='\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size / 1.6;\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(circle, X);\\n}\\n',s.circlex='\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    float almost = min(min(min(c1, c2), c3), c4);\\n    // In this case, the X is also outside of the main shape\\n    float Xmask = length(P) - size / 1.6;  // a circle\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return min(max(X, Xmask), almost);\\n}\\n',s.squarex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.asterisk='\\nfloat marker(vec2 P, float size)\\n{\\n    // Masks\\n    float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / (2.0 * SQRT_2);\\n    float square = max(abs(P.x), abs(P.y)) - size / (2.0 * SQRT_2);\\n    // Shapes\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    // Result is union of masked shapes\\n    return min(max(X, diamond), max(cross, square));\\n}\\n'},\n",
+       "      }, 370, {\"models/glyphs/webgl/main\":370,\"models/glyphs/webgl/index\":371,\"models/glyphs/webgl/line\":372,\"models/glyphs/webgl/base\":374,\"models/glyphs/webgl/line.vert\":375,\"models/glyphs/webgl/line.frag\":376,\"models/glyphs/webgl/markers\":377,\"models/glyphs/webgl/markers.vert\":378,\"models/glyphs/webgl/markers.frag\":379}, {});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END bokeh-gl.min.js */\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      Bokeh.set_log_level(\"info\");\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN panel.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        factory(root[\"Bokeh\"], undefined);\n",
+       "      })(this, function(Bokeh, version) {\n",
+       "        var define;\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
+       "          if (bokeh != null) {\n",
+       "            return bokeh.register_plugin(modules, entry, aliases);\n",
+       "          } else {\n",
+       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
+       "          }\n",
+       "        })\n",
+       "      ({\n",
+       "      \"4e90918c0a\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"22ae8fda70\"));o.Panel=s,e(\"@bokehjs/base\").register_models(s)},\n",
+       "      \"22ae8fda70\": function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=a(\"tslib\");var t=a(\"3343056bd8\");r.AcePlot=t.AcePlot;var c=a(\"66d52165db\");r.Audio=c.Audio;var l=a(\"71a9759436\");r.CommManager=l.CommManager;var d=a(\"d0d2aafca0\");r.DeckGLPlot=d.DeckGLPlot;var v=a(\"ed08037ce5\");r.HTML=v.HTML;var b=a(\"284504a0cf\");r.JSON=b.JSON;var P=a(\"61c9ac7aac\");r.FileDownload=P.FileDownload;var f=a(\"7b859fb3cf\");r.KaTeX=f.KaTeX;var i=a(\"0c21036737\");r.MathJax=i.MathJax;var n=a(\"79c41bbf71\");r.Player=n.Player;var s=a(\"56da045fbd\");r.PlotlyPlot=s.PlotlyPlot;var M=a(\"76307e5afa\");r.Progress=M.Progress;var S=a(\"38b2bc9574\");r.State=S.State;var g=a(\"294adeb985\");r.VegaPlot=g.VegaPlot;var m=a(\"b0c3e9e9c2\");r.Video=m.Video;var V=a(\"3c7145a2fa\");r.VideoStream=V.VideoStream,o.__exportStar(a(\"ecfbb965eb\"),r)},\n",
+       "      \"3343056bd8\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),n=e(\"@bokehjs/core/dom\"),a=e(\"7116a7a602\");class d extends a.PanelHTMLBoxView{initialize(){super.initialize(),this._ace=window.ace,this._container=n.div({id:\"_\"+Math.random().toString(36).substr(2,9),style:{width:\"100%\",height:\"100%\"}})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.code.change,()=>this._update_code_from_model()),this.connect(this.model.properties.theme.change,()=>this._update_theme()),this.connect(this.model.properties.language.change,()=>this._update_language()),this.connect(this.model.properties.annotations.change,()=>this._add_annotations()),this.connect(this.model.properties.readonly.change,()=>{this._editor.setReadOnly(this.model.readonly)})}render(){super.render(),this._container!==this.el.childNodes[0]&&this.el.appendChild(this._container),this._container.textContent=this.model.code,this._editor=this._ace.edit(this._container.id),this._editor.setTheme(\"ace/theme/\"+this.model.theme),this._editor.session.setMode(\"ace/mode/\"+this.model.language),this._editor.setReadOnly(this.model.readonly),this._langTools=this._ace.require(\"ace/ext/language_tools\"),this._editor.setOptions({enableBasicAutocompletion:!0,enableSnippets:!0,fontFamily:\"monospace\"}),this._editor.on(\"change\",()=>this._update_code_from_editor())}_update_code_from_model(){this._editor&&this._editor.getValue()!=this.model.code&&this._editor.setValue(this.model.code)}_update_code_from_editor(){this._editor.getValue()!=this.model.code&&(this.model.code=this._editor.getValue())}_update_theme(){this._editor.setTheme(\"ace/theme/\"+this.model.theme)}_update_language(){this._editor.session.setMode(\"ace/mode/\"+this.model.language)}_add_annotations(){this._editor.session.setAnnotations(this.model.annotations)}after_layout(){super.after_layout(),this._editor.resize()}}o.AcePlotView=d,d.__name__=\"AcePlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_AcePlot(){this.prototype.default_view=d,this.define({code:[i.String],language:[i.String,\"python\"],theme:[i.String,\"chrome\"],annotations:[i.Array,[]],readonly:[i.Boolean,!1]}),this.override({height:300,width:300})}}o.AcePlot=h,h.__name__=\"AcePlot\",h.__module__=\"panel.models.ace\",h.init_AcePlot()},\n",
+       "      \"7116a7a602\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(\"@bokehjs/core/layout/html\"),h=e(\"@bokehjs/core/layout/types\"),o=e(\"@bokehjs/core/dom\"),n=e(\"@bokehjs/models/widgets/markup\"),_=e(\"@bokehjs/models/layouts/html_box\");function a(e,i){let t=null!=i.width?\"fixed\":\"fit\",s=null!=i.height?\"fixed\":\"fit\";const{sizing_mode:h}=i;if(null!=h)if(\"fixed\"==h)t=s=\"fixed\";else if(\"stretch_both\"==h)t=s=\"max\";else if(\"stretch_width\"==h)t=\"max\";else if(\"stretch_height\"==h)s=\"max\";else switch(h){case\"scale_width\":t=\"max\",s=\"min\";break;case\"scale_height\":t=\"min\",s=\"max\";break;case\"scale_both\":t=\"max\",s=\"max\";break;default:throw new Error(\"unreachable\")}\"fixed\"==t&&i.width?e.style.width=i.width+\"px\":\"max\"==t&&(e.style.width=\"100%\"),\"fixed\"==s&&i.height?e.style.height=i.height+\"px\":\"max\"==s&&(e.style.height=\"100%\")}t.set_size=a;class d extends s.VariadicBox{constructor(e,i,t){super(e),this.el=e,this.sizing_mode=i,this.changed=t,this._cache=new Map,this._cache_count=new Map}_measure(e){const i=[e.width,e.height,this.sizing_mode].toString(),t=this.changed&&\"fixed\"!=this.sizing_mode&&null!=this.sizing_mode?1:0,s=this._cache.get(i),n=this._cache_count.get(i);if(null!=s&&null!=n&&n>=t)return this._cache_count.set(i,n+1),s;const _=new h.Sizeable(e).bounded_to(this.sizing.size),a=o.sized(this.el,_,()=>{const e=new h.Sizeable(o.content_size(this.el)),{border:i,padding:t}=o.extents(this.el);return e.grow_by(i).grow_by(t).map(Math.ceil)});return this._cache.set(i,a),this._cache_count.set(i,0),a}invalidate_cache(){}}t.CachedVariadicBox=d,d.__name__=\"CachedVariadicBox\";class l extends n.MarkupView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.markup_el,this.model)}}t.PanelMarkupView=l,l.__name__=\"PanelMarkupView\";class c extends _.HTMLBoxView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.el,this.model)}}t.PanelHTMLBoxView=c,c.__name__=\"PanelHTMLBoxView\"},\n",
+       "      \"66d52165db\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.audioEl=document.createElement(\"audio\"),this.audioEl.controls=!0,this.audioEl.src=this.model.value,this.audioEl.currentTime=this.model.time,this.audioEl.loop=this.model.loop,null!=this.model.volume?this.audioEl.volume=this.model.volume/100:this.model.volume=100*this.audioEl.volume,this.audioEl.onpause=()=>this.model.paused=!0,this.audioEl.onplay=()=>this.model.paused=!1,this.audioEl.ontimeupdate=()=>this.update_time(this),this.audioEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.audioEl),this.model.paused||this.audioEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.audioEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.audioEl.volume)}set_loop(){this.audioEl.loop=this.model.loop}set_paused(){!this.audioEl.paused&&this.model.paused&&this.audioEl.pause(),this.audioEl.paused&&!this.model.paused&&this.audioEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.audioEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.audioEl.currentTime=this.model.time)}set_value(){this.audioEl.src=this.model.value}}i.AudioView=d,d.__name__=\"AudioView\";class u extends s.HTMLBox{constructor(e){super(e)}static init_Audio(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}i.Audio=u,u.__name__=\"Audio\",u.__module__=\"panel.models.widgets\",u.init_Audio()},\n",
+       "      \"71a9759436\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/document\"),s=e(\"@bokehjs/core/view\"),c=e(\"@bokehjs/model\"),_=e(\"@bokehjs/protocol/message\"),l=e(\"@bokehjs/protocol/receiver\");class r extends s.View{renderTo(){}}n.CommManagerView=r,r.__name__=\"CommManagerView\";class a extends c.Model{constructor(e){super(e),this._document_listener=e=>this._document_changed(e),this._receiver=new l.Receiver,this._event_buffer=[],this._blocked=!1,this._timeout=Date.now(),null!=window.PyViz&&window.PyViz.comm_manager?(this.ns=window.PyViz,this.ns.comm_manager.register_target(this.plot_id,this.comm_id,e=>this.msg_handler(e)),this._client_comm=this.ns.comm_manager.get_client_comm(this.plot_id,this.client_comm_id,e=>this.on_ack(e))):console.log(\"Could not find comm manager on window.PyViz, ensure the extension is loaded.\")}_doc_attached(){super._doc_attached(),null!=this.document&&this.document.on_change(this._document_listener)}_document_changed(e){e.setter_id!==this.id&&(e instanceof i.ModelChangedEvent&&!(e.attr in e.model.serializable_attributes())||(this._event_buffer.unshift(e),(!this._blocked||Date.now()>this._timeout)&&(setTimeout(()=>this.process_events(),this.debounce),this._blocked=!0,this._timeout=Date.now()+this.timeout)))}process_events(){if(null==this.document||null==this._client_comm)return;const e=_.Message.create(\"PATCH-DOC\",{},this.document.create_json_patch(this._event_buffer));this._client_comm.send(e),this._event_buffer=[]}on_ack(e){const t=e.metadata;this._event_buffer.length?(this.process_events(),this._blocked=!0,this._timeout=Date.now()+this.timeout):this._blocked=!1,this._event_buffer=[],\"Ready\"==t.msg_type&&t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback)}msg_handler(e){const t=e.metadata,n=e.buffers,o=e.content.data,i=this.plot_id;if(\"Ready\"==t.msg_type)t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback);else if(null!=i){let e=null;if(i in this.ns.plot_index&&null!=this.ns.plot_index[i]?e=this.ns.plot_index[i]:void 0!==window.Bokeh&&i in window.Bokeh.index&&(e=window.Bokeh.index[i]),null==e)return;null!=n&&n.length>0?this._receiver.consume(n[0].buffer):this._receiver.consume(o);const t=this._receiver.message;null!=t&&Object.keys(t.content).length>0&&null!=this.document&&this.document.apply_json_patch(t.content,t.buffers,this.id)}}static init_CommManager(){this.prototype.default_view=r,this.define({plot_id:[o.String,null],comm_id:[o.String,null],client_comm_id:[o.String,null],timeout:[o.Number,5e3],debounce:[o.Number,50]})}}n.CommManager=a,a.__name__=\"CommManager\",a.__module__=\"panel.models.comm_manager\",a.init_CommManager()},\n",
+       "      \"d0d2aafca0\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\"),n=e(\"@bokehjs/core/dom\"),a=i.__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),c=e(\"7116a7a602\"),r=e(\"064eac2866\"),d=i.__importDefault(e(\"093eb75864\"));function l(){const e={},t=window.deck,o=Object.keys(t).filter(e=>e.charAt(0)===e.charAt(0).toUpperCase());for(const i of o)e[i]=t[i];return e}class _ extends c.PanelHTMLBoxView{connect_signals(){super.connect_signals();const{data:e,mapbox_api_key:t,tooltip:o,layers:i,initialViewState:n,data_sources:a}=this.model.properties;this.on_change([t,o],()=>this.render()),this.on_change([e,n],()=>this.updateDeck()),this.on_change([i],()=>this._update_layers()),this.on_change([a],()=>this._connect_sources(!0)),this._layer_map={},this._connected=[],this._connect_sources()}_update_layers(){this._layer_map={},this._update_data(!0)}_connect_sources(e=!1){for(const e of this.model.data_sources)this._connected.indexOf(e)<0&&(this.connect(e.properties.data.change,()=>this._update_data(!0)),this._connected.push(e));this._update_data(e)}initialize(){if(super.initialize(),window.deck.JSONConverter){const{CSVLoader:e,Tile3DLoader:t}=window.loaders;window.loaders.registerLoaders([t,e]);const o={classes:l(),enumerations:{COORDINATE_SYSTEM:window.deck.COORDINATE_SYSTEM,GL:d.default},constants:{Tile3DLoader:t}};this.jsonConverter=new window.deck.JSONConverter({configuration:o})}}_update_data(e=!0){let t=0;for(const e of this.model.layers){let o;if(t+=1,t-1 in this._layer_map)o=this.model.data_sources[this._layer_map[t-1]];else{if(\"number\"!=typeof e.data)continue;this._layer_map[t-1]=e.data,o=this.model.data_sources[e.data]}const i=[],n=o.columns();for(let e=0;e<o.get_length();e++){const t={};for(const i of n){let n=o.get_array(i);const a=null==n[0].shape?null:n[0].shape;null!=a&&a.length>1&&\"number\"==typeof a[0]?t[i]=n.slice(e*a[1],e*a[1]+a[1]):t[i]=n[e]}i.push(t)}e.data=i}e&&this.updateDeck()}_on_click_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.clickState=t}_on_hover_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.hoverState=t}_on_viewState_event(e){this.model.viewState=e.viewState}getData(){return Object.assign(Object.assign({},this.model.data),{layers:this.model.layers,initialViewState:this.model.initialViewState,onViewStateChange:e=>this._on_viewState_event(e),onClick:e=>this._on_click_event(e),onHover:e=>this._on_hover_event(e)})}updateDeck(){if(!this.deckGL)return void this.render();const e=this.getData();if(window.deck.updateDeck)window.deck.updateDeck(e,this.deckGL);else{const t=this.jsonConverter.convert(e);this.deckGL.setProps(t)}}createDeck({mapboxApiKey:e,container:t,jsonInput:o,tooltip:i}){let n;try{const a=this.jsonConverter.convert(o),s=r.makeTooltip(i);n=new window.deck.DeckGL(Object.assign(Object.assign({},a),{map:window.mapboxgl,mapboxApiAccessToken:e,container:t,getTooltip:s}))}catch(e){console.error(e)}return n}render(){super.render();const e=n.div({class:\"deckgl\"});c.set_size(e,this.model);const t=this.model.mapbox_api_key,o=this.model.tooltip,i=this.getData();window.deck.createDeck?this.deckGL=window.deck.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}):this.deckGL=this.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}),this.el.appendChild(e)}}o.DeckGLPlotView=_,_.__name__=\"DeckGLPlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_DeckGLPlot(){this.prototype.default_view=_,this.define({data:[a.Any],data_sources:[a.Array,[]],clickState:[a.Any],hoverState:[a.Any],initialViewState:[a.Any],layers:[a.Array,[]],mapbox_api_key:[a.String],tooltip:[a.Any],viewState:[a.Any]}),this.override({height:400,width:600})}}o.DeckGLPlot=h,h.__name__=\"DeckGLPlot\",h.__module__=\"panel.models.deckgl\",h.init_DeckGLPlot()},\n",
+       "      \"064eac2866\": function _(e,t,n){\n",
+       "      /*\n",
+       "          This file was adapted from https://github.com/uber/deck.gl/ the LICENSE\n",
+       "          below is preserved to comply with the original license.\n",
+       "          \n",
+       "          Copyright (c) 2015 - 2017 Uber Technologies, Inc.\n",
+       "          \n",
+       "          Permission is hereby granted, free of charge, to any person obtaining a copy\n",
+       "          of this software and associated documentation files (the \"Software\"), to deal\n",
+       "          in the Software without restriction, including without limitation the rights\n",
+       "          to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n",
+       "          copies of the Software, and to permit persons to whom the Software is\n",
+       "          furnished to do so, subject to the following conditions:\n",
+       "          \n",
+       "          The above copyright notice and this permission notice shall be included in\n",
+       "          all copies or substantial portions of the Software.\n",
+       "          \n",
+       "          THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n",
+       "          IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n",
+       "          FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n",
+       "          AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n",
+       "          LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n",
+       "          OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n",
+       "          THE SOFTWARE.\n",
+       "          */\n",
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+       "      \"093eb75864\": function 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i=s(this.type,this.json,this.useToJSON?this.json.toJSON():this.json);e.appendChild(document.createTextNode(i)),t.appendChild(e)}if(this.isObject&&this.config.hoverPreviewEnabled){var a=m(\"span\",\"preview-text\");a.appendChild(document.createTextNode(this.getInlinepreview())),t.appendChild(a)}var l=m(\"div\",\"children\");return this.isObject&&l.classList.add(f(\"object\")),this.isArray&&l.classList.add(f(\"array\")),this.isEmpty&&l.classList.add(f(\"empty\")),this.config&&this.config.theme&&this.element.classList.add(f(this.config.theme)),this.isOpen&&this.element.classList.add(f(\"open\")),this.element.appendChild(t),this.element.appendChild(l),this.isObject&&this.isOpen&&this.appendChildren(),this.isObject&&!this.useToJSON&&t.addEventListener(\"click\",this.toggleOpen.bind(this)),this.element},t.prototype.appendChildren=function(e){var r=this;void 0===e&&(e=!1);var n=this.element.querySelector(\"div.\"+f(\"children\"));if(n&&!this.isEmpty)if(e){var o=0,i=function(){var e=r.keys[o],s=new t(r.json[e],r.open-1,r.config,e);n.appendChild(s.render()),(o+=1)<r.keys.length&&(o>10?i():p(i))};p(i)}else this.keys.forEach((function(e){var o=new t(r.json[e],r.open-1,r.config,e);n.appendChild(o.render())}))},t.prototype.removeChildren=function(t){void 0===t&&(t=!1);var e=this.element.querySelector(\"div.\"+f(\"children\"));if(t){var r=0,n=function(){e&&e.children.length&&(e.removeChild(e.children[0]),(r+=1)>10?n():p(n))};p(n)}else e&&(e.innerHTML=\"\")},t}();r.default=h},\n",
+       "      \"61c9ac7aac\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(\"tslib\"),s=e(\"@bokehjs/models/widgets/input_widget\"),o=e(\"@bokehjs/styles/buttons\"),n=l.__importStar(e(\"@bokehjs/core/properties\"));class a extends s.InputWidgetView{constructor(){super(...arguments),this._downloadable=!1,this._embed=!1,this._prev_href=\"\",this._prev_download=\"\"}initialize(){super.initialize(),this.model.data&&this.model.filename&&(this._embed=!0)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.button_type.change,()=>this._update_button_style()),this.connect(this.model.properties.filename.change,()=>this._update_download()),this.connect(this.model.properties._transfers.change,()=>this._handle_click()),this.connect(this.model.properties.label.change,()=>this._update_label())}render(){super.render(),this.group_el.style.display=\"flex\",this.group_el.style.alignItems=\"stretch\",this.anchor_el=document.createElement(\"a\"),this._update_button_style(),this._update_label(),this.model.disabled?(this.anchor_el.setAttribute(\"disabled\",\"\"),this._downloadable=!1):(this.anchor_el.removeAttribute(\"disabled\"),this._prev_download&&(this.anchor_el.download=this._prev_download),this._prev_href&&(this.anchor_el.href=this._prev_href),this.anchor_el.download&&this.anchor_el.download&&(this._downloadable=!0)),this._embed?this._make_link_downloadable():(this._click_listener=this._increment_clicks.bind(this),this.anchor_el.addEventListener(\"click\",this._click_listener)),this.group_el.appendChild(this.anchor_el)}_increment_clicks(){this.model.clicks=this.model.clicks+1}_handle_click(){!this.model.auto&&this._downloadable||(this._make_link_downloadable(),!this._embed&&this.model.auto&&(this.anchor_el.removeEventListener(\"click\",this._click_listener),this.anchor_el.click(),this.anchor_el.removeAttribute(\"href\"),this.anchor_el.removeAttribute(\"download\"),this.anchor_el.addEventListener(\"click\",this._click_listener)),this._prev_href=this.anchor_el.getAttribute(\"href\"),this._prev_download=this.anchor_el.getAttribute(\"download\"))}_make_link_downloadable(){this._update_href(),this._update_download(),this.anchor_el.download&&this.anchor_el.href&&(this._downloadable=!0)}_update_href(){if(this.model.data){const e=function(e){const t=atob(e.split(\",\")[1]),i=e.split(\",\")[0].split(\":\")[1].split(\";\")[0],l=new ArrayBuffer(t.length),s=new Uint8Array(l);for(let e=0;e<t.length;e++)s[e]=t.charCodeAt(e);return new Blob([l],{type:i})}(this.model.data);this.anchor_el.href=URL.createObjectURL(e)}}_update_download(){this.model.filename&&(this.anchor_el.download=this.model.filename)}_update_label(){this.anchor_el.textContent=this.model.label}_update_button_style(){if(this.anchor_el.hasAttribute(\"class\")){const e=this.anchor_el.classList.item(1);e&&this.anchor_el.classList.replace(e,o.bk_btn_type(this.model.button_type))}else this.anchor_el.classList.add(o.bk_btn),this.anchor_el.classList.add(o.bk_btn_type(this.model.button_type))}}i.FileDownloadView=a,a.__name__=\"FileDownloadView\";class h extends s.InputWidget{constructor(e){super(e)}static init_FileDownload(){this.prototype.default_view=a,this.define({auto:[n.Boolean,!1],clicks:[n.Number,0],data:[n.String,null],label:[n.String,\"Download\"],filename:[n.String,null],button_type:[n.ButtonType,\"default\"],_transfers:[n.Number,0]}),this.override({title:\"\"})}}i.FileDownload=h,h.__name__=\"FileDownload\",h.__module__=\"panel.models.widgets\",h.init_FileDownload()},\n",
+       "      \"7b859fb3cf\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(\"@bokehjs/models/widgets/markup\"),n=e(\"7116a7a602\");class r extends n.PanelMarkupView{render(){super.render(),this.markup_el.innerHTML=this.model.text,window.renderMathInElement&&window.renderMathInElement(this.el,{delimiters:[{left:\"$$\",right:\"$$\",display:!0},{left:\"\\\\[\",right:\"\\\\]\",display:!0},{left:\"$\",right:\"$\",display:!1},{left:\"\\\\(\",right:\"\\\\)\",display:!1}]})}}i.KaTeXView=r,r.__name__=\"KaTeXView\";class s extends a.Markup{constructor(e){super(e)}static init_KaTeX(){this.prototype.default_view=r}}i.KaTeX=s,s.__name__=\"KaTeX\",s.__module__=\"panel.models.katex\",s.init_KaTeX()},\n",
+       "      \"0c21036737\": function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(\"@bokehjs/models/widgets/markup\"),s=e(\"7116a7a602\");class _ extends s.PanelMarkupView{initialize(){super.initialize(),this._hub=window.MathJax.Hub,this._hub.Config({tex2jax:{inlineMath:[[\"$\",\"$\"],[\"\\\\(\",\"\\\\)\"]]}})}render(){super.render(),this._hub&&(this.markup_el.innerHTML=this.model.text,this._hub.Queue([\"Typeset\",this._hub,this.markup_el]))}}a.MathJaxView=_,_.__name__=\"MathJaxView\";class h extends i.Markup{constructor(e){super(e)}static init_MathJax(){this.prototype.default_view=_}}a.MathJax=h,h.__name__=\"MathJax\",h.__module__=\"panel.models.mathjax\",h.init_MathJax()},\n",
+       "      \"79c41bbf71\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/models/widgets/widget\");function n(e){e.forEach(e=>e.style.borderStyle=\"inset\")}function a(e){e.forEach(e=>e.style.borderStyle=\"outset\")}class r extends l.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.value.change,()=>this.render()),this.connect(this.model.properties.loop_policy.change,()=>this.set_loop_state(this.model.loop_policy)),this.connect(this.model.properties.show_loop_controls.change,()=>{this.model.show_loop_controls&&this.loop_state.parentNode!=this.groupEl?this.groupEl.appendChild(this.loop_state):this.model.show_loop_controls||this.loop_state.parentNode!=this.groupEl||this.el.removeChild(this.loop_state)})}get_height(){return 250}render(){if(null!=this.sliderEl)return this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),void(this.sliderEl.value=String(this.model.value));super.render(),this.groupEl=o.div(),this.groupEl.style.display=\"flex\",this.groupEl.style.flexDirection=\"column\",this.groupEl.style.alignItems=\"center\",this.sliderEl=document.createElement(\"input\"),this.sliderEl.style.width=\"100%\",this.sliderEl.setAttribute(\"type\",\"range\"),this.sliderEl.value=String(this.model.value),this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),this.sliderEl.onchange=e=>this.set_frame(parseInt(e.target.value));const e=o.div();e.style.cssText=\"margin: 0 auto; display: flex; padding: 5px; align-items: stretch; width: 100%;\";const t=\"text-align: center; min-width: 20px; flex-grow: 1; margin: 2px\",s=\"text-align: center; min-width: 40px; flex-grow: 2; margin: 2px\",i=document.createElement(\"button\");i.style.cssText=t,i.appendChild(document.createTextNode(\"–\")),i.onclick=()=>this.slower(),e.appendChild(i);const l=document.createElement(\"button\");l.style.cssText=s,l.appendChild(document.createTextNode(\"❚◀◀\")),l.onclick=()=>this.first_frame(),e.appendChild(l);const r=document.createElement(\"button\");r.style.cssText=s,r.appendChild(document.createTextNode(\"❚◀\")),r.onclick=()=>this.previous_frame(),e.appendChild(r);const d=document.createElement(\"button\");d.style.cssText=s,d.appendChild(document.createTextNode(\"◀\")),d.onclick=()=>this.reverse_animation(),e.appendChild(d);const h=document.createElement(\"button\");h.style.cssText=s,h.appendChild(document.createTextNode(\"❚❚\")),h.onclick=()=>this.pause_animation(),e.appendChild(h);const p=document.createElement(\"button\");p.style.cssText=s,p.appendChild(document.createTextNode(\"▶\")),p.onclick=()=>this.play_animation(),e.appendChild(p);const c=document.createElement(\"button\");c.style.cssText=s,c.appendChild(document.createTextNode(\"▶❚\")),c.onclick=()=>this.next_frame(),e.appendChild(c);const m=document.createElement(\"button\");m.style.cssText=s,m.appendChild(document.createTextNode(\"▶▶❚\")),m.onclick=()=>this.last_frame(),e.appendChild(m);const _=document.createElement(\"button\");_.style.cssText=t,_.appendChild(document.createTextNode(\"+\")),_.onclick=()=>this.faster(),e.appendChild(_),this._toggle_reverse=()=>{a([h,p]),n([d])},this._toogle_pause=()=>{a([d,p]),n([h])},this._toggle_play=()=>{a([d,h]),n([p])},this.loop_state=document.createElement(\"form\"),this.loop_state.style.cssText=\"margin: 0 auto; display: table\";const u=document.createElement(\"input\");u.type=\"radio\",u.value=\"once\",u.name=\"state\";const g=document.createElement(\"label\");g.innerHTML=\"Once\",g.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const f=document.createElement(\"input\");f.setAttribute(\"type\",\"radio\"),f.setAttribute(\"value\",\"loop\"),f.setAttribute(\"name\",\"state\");const v=document.createElement(\"label\");v.innerHTML=\"Loop\",v.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const y=document.createElement(\"input\");y.setAttribute(\"type\",\"radio\"),y.setAttribute(\"value\",\"reflect\"),y.setAttribute(\"name\",\"state\");const x=document.createElement(\"label\");x.innerHTML=\"Reflect\",x.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\",\"once\"==this.model.loop_policy?u.checked=!0:\"loop\"==this.model.loop_policy?f.checked=!0:y.checked=!0,this.loop_state.appendChild(u),this.loop_state.appendChild(g),this.loop_state.appendChild(f),this.loop_state.appendChild(v),this.loop_state.appendChild(y),this.loop_state.appendChild(x),this.groupEl.appendChild(this.sliderEl),this.groupEl.appendChild(e),this.model.show_loop_controls&&this.groupEl.appendChild(this.loop_state),this.el.appendChild(this.groupEl)}set_frame(e){this.model.value!=e&&(this.model.value=e),this.sliderEl.value!=String(e)&&(this.sliderEl.value=String(e))}get_loop_state(){for(var e=this.loop_state.state,t=0;t<e.length;t++){var s=e[t];if(s.checked)return s.value}return\"once\"}set_loop_state(e){for(var t=this.loop_state.state,s=0;s<t.length;s++){var i=t[s];i.value==e&&(i.checked=!0)}}next_frame(){this.set_frame(Math.min(this.model.end,this.model.value+this.model.step))}previous_frame(){this.set_frame(Math.max(this.model.start,this.model.value-this.model.step))}first_frame(){this.set_frame(this.model.start)}last_frame(){this.set_frame(this.model.end)}slower(){this.model.interval=Math.round(this.model.interval/.7),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}faster(){this.model.interval=Math.round(.7*this.model.interval),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}anim_step_forward(){if(this.model.value<this.model.end)this.next_frame();else{var e=this.get_loop_state();\"loop\"==e?this.first_frame():\"reflect\"==e?(this.last_frame(),this.reverse_animation()):(this.pause_animation(),this.last_frame())}}anim_step_reverse(){if(this.model.value>this.model.start)this.previous_frame();else{var e=this.get_loop_state();\"loop\"==e?this.last_frame():\"reflect\"==e?(this.first_frame(),this.play_animation()):(this.pause_animation(),this.first_frame())}}pause_animation(){this._toogle_pause(),this.model.direction=0,this.timer&&(clearInterval(this.timer),this.timer=null)}play_animation(){this.pause_animation(),this._toggle_play(),this.model.direction=1,this.timer||(this.timer=setInterval(()=>this.anim_step_forward(),this.model.interval))}reverse_animation(){this.pause_animation(),this._toggle_reverse(),this.model.direction=-1,this.timer||(this.timer=setInterval(()=>this.anim_step_reverse(),this.model.interval))}}s.PlayerView=r,r.__name__=\"PlayerView\";class d extends l.Widget{constructor(e){super(e)}static init_Player(){this.prototype.default_view=r,this.define({direction:[i.Number,0],interval:[i.Number,500],start:[i.Number],end:[i.Number],step:[i.Number,1],loop_policy:[i.Any,\"once\"],value:[i.Any,0],show_loop_controls:[i.Boolean,!0]}),this.override({width:400})}}s.Player=d,d.__name__=\"Player\",d.__module__=\"panel.models.widgets\",d.init_Player()},\n",
+       "      \"56da045fbd\": function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),l=t(\"@bokehjs/core/util/object\"),r=t(\"@bokehjs/core/util/eq\"),s=t(\"@bokehjs/models/layouts/html_box\"),n=t(\"99a25e6992\"),a=t(\"990b5dd5c7\"),p=t(\"7116a7a602\"),h=(t,e,o)=>{let i=Array.isArray(e)?[]:{};if(\"click\"===o||\"hover\"===o||\"selected\"===o){const o=[];if(null==e)return null;const l=t.data;for(let t=0;t<e.points.length;t++){const i=e.points[t];let r={};for(let t in i){const e=i[t];!i.hasOwnProperty(t)||Array.isArray(e)||a.isPlainObject(e)||(r[t]=e)}null!=i&&(i.hasOwnProperty(\"curveNumber\")&&i.hasOwnProperty(\"pointNumber\")&&l[i.curveNumber].hasOwnProperty(\"customdata\")&&(r.customdata=l[i.curveNumber].customdata[i.pointNumber]),i.hasOwnProperty(\"pointNumbers\")&&(r.pointNumbers=i.pointNumbers)),o[t]=r}i.points=o}else if(\"relayout\"===o||\"restyle\"===o)for(let t in e)e.hasOwnProperty(t)&&(i[t]=e[t]);return e.hasOwnProperty(\"range\")&&(i.range=e.range),e.hasOwnProperty(\"lassoPoints\")&&(i.lassoPoints=e.lassoPoints),i};class _ extends p.PanelHTMLBoxView{constructor(){super(...arguments),this._settingViewport=!1,this._plotInitialized=!1,this._reacting=!1,this._relayouting=!1,this._end_relayouting=n.debounce(()=>{this._relayouting=!1},2e3,!1)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.viewport_update_policy.change,this._updateSetViewportFunction),this.connect(this.model.properties.viewport_update_throttle.change,this._updateSetViewportFunction),this.connect(this.model.properties._render_count.change,this.plot),this.connect(this.model.properties.viewport.change,this._updateViewportFromProperty)}render(){super.render(),window.Plotly&&this.plot()}plot(){if(!window.Plotly)return;const t=[];for(let e=0;e<this.model.data.length;e++)t.push(this._get_trace(e,!1));let e=a.deepCopy(this.model.layout);if(this._relayouting){const t=this.el.layout;Object.keys(t).reduce((t,o)=>{\"axis\"===o.slice(1,5)&&\"range\"in t&&(e[o].range=t.range)},{})}this._reacting=!0,window.Plotly.react(this.el,t,e,this.model.config).then(()=>{this._updateSetViewportFunction(),this._updateViewportProperty(),this._plotInitialized||(this.el.on(\"plotly_relayout\",t=>{!0!==t._update_from_property&&(this.model.relayout_data=h(this.el,t,\"relayout\"),this._updateViewportProperty(),this._end_relayouting())}),this.el.on(\"plotly_relayouting\",()=>{\"mouseup\"!==this.model.viewport_update_policy&&(this._relayouting=!0,this._updateViewportProperty())}),this.el.on(\"plotly_restyle\",t=>{this.model.restyle_data=h(this.el,t,\"restyle\"),this._updateViewportProperty()}),this.el.on(\"plotly_click\",t=>{this.model.click_data=h(this.el,t,\"click\")}),this.el.on(\"plotly_hover\",t=>{this.model.hover_data=h(this.el,t,\"hover\")}),this.el.on(\"plotly_selected\",t=>{this.model.selected_data=h(this.el,t,\"selected\")}),this.el.on(\"plotly_clickannotation\",t=>{delete t.event,delete t.fullAnnotation,this.model.clickannotation_data=t}),this.el.on(\"plotly_deselect\",()=>{this.model.selected_data=null}),this.el.on(\"plotly_unhover\",()=>{this.model.hover_data=null})),this._plotInitialized=!0,this._reacting=!1})}_get_trace(t,e){const o=l.clone(this.model.data[t]),i=this.model.data_sources[t];for(const t of i.columns()){let l=i.get_array(t)[0];if(null!=l.shape&&l.shape.length>1){const t=[],e=l.shape;for(let o=0;o<e[0];o++)t.push(l.slice(o*e[1],(o+1)*e[1]));l=t}let r=t.split(\".\"),s=r[r.length-1],n=o;for(let t of r.slice(0,-1))n=n[t];e&&1==r.length?n[s]=[l]:n[s]=l}return o}_updateViewportFromProperty(){if(!window.Plotly||this._settingViewport||this._reacting||!this.model.viewport)return;const t=this.el._fullLayout;Object.keys(this.model.viewport).reduce((e,o)=>{if(r.isEqual(a.get(t,o),e))return!0;{let t=a.deepCopy(this.model.viewport);return t._update_from_property=!0,window.Plotly.relayout(this.el,t),!1}},{})}_updateViewportProperty(){const t=this.el._fullLayout;let e={};for(let o in t){if(!t.hasOwnProperty(o))continue;let i=o.slice(0,5);\"xaxis\"!==i&&\"yaxis\"!==i||(e[o+\".range\"]=a.deepCopy(t[o].range))}r.isEqual(e,this.model.viewport)||this._setViewport(e)}_updateSetViewportFunction(){\"continuous\"===this.model.viewport_update_policy||\"mouseup\"===this.model.viewport_update_policy?this._setViewport=t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}:this._setViewport=a.throttle(t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)},this.model.viewport_update_throttle)}}o.PlotlyPlotView=_,_.__name__=\"PlotlyPlotView\";class d extends s.HTMLBox{constructor(t){super(t)}static init_PlotlyPlot(){this.prototype.default_view=_,this.define({data:[i.Array,[]],layout:[i.Any,{}],config:[i.Any,{}],data_sources:[i.Array,[]],relayout_data:[i.Any,{}],restyle_data:[i.Array,[]],click_data:[i.Any,{}],hover_data:[i.Any,{}],clickannotation_data:[i.Any,{}],selected_data:[i.Any,{}],viewport:[i.Any,{}],viewport_update_policy:[i.String,\"mouseup\"],viewport_update_throttle:[i.Number,200],_render_count:[i.Number,0]})}}o.PlotlyPlot=d,d.__name__=\"PlotlyPlot\",d.__module__=\"panel.models.plotly\",d.init_PlotlyPlot()},\n",
+       "      \"99a25e6992\": function _(n,l,u){function t(n,l,u){var t,e,o,a,r;function i(){var c=Date.now()-a;c<l&&c>=0?t=setTimeout(i,l-c):(t=null,u||(r=n.apply(o,e),o=e=null))}null==l&&(l=100);var c=function(){o=this,e=arguments,a=Date.now();var c=u&&!t;return t||(t=setTimeout(i,l)),c&&(r=n.apply(o,e),o=e=null),r};return c.clear=function(){t&&(clearTimeout(t),t=null)},c.flush=function(){t&&(r=n.apply(o,e),o=e=null,clearTimeout(t),t=null)},c}t.debounce=t,l.exports=t},\n",
+       "      \"990b5dd5c7\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.get=(t,e,n)=>{const r=n=>String.prototype.split.call(e,n).filter(Boolean).reduce((t,e)=>null!=t?t[e]:t,t),o=r(/[,[\\]]+?/)||r(/[,[\\].]+?/);return void 0===o||o===t?n:o},n.throttle=function(t,e){var n=0;return function(){var r=Number(new Date);r-n>=e&&(t(),n=r)}},n.deepCopy=function t(e){var n;if(null==e||\"object\"!=typeof e)return e;if(e instanceof Array){n=[];for(var r=0,o=e.length;r<o;r++)n[r]=t(e[r]);return n}if(e instanceof Object){const n={};for(const r in e){const o=r;e.hasOwnProperty(o)&&(n[o]=t(e[o]))}return n}throw new Error(\"Unable to copy obj! Its type isn't supported.\")},n.isPlainObject=function(t){return\"[object Object]\"===Object.prototype.toString.call(t)}},\n",
+       "      \"76307e5afa\": function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),r=e(\"7116a7a602\");class l extends o.HTMLBoxView{connect_signals(){super.connect_signals();const e=()=>{this.render(),this.root.compute_layout()};this.connect(this.model.properties.height.change,e),this.connect(this.model.properties.width.change,e),this.connect(this.model.properties.height_policy.change,e),this.connect(this.model.properties.width_policy.change,e),this.connect(this.model.properties.sizing_mode.change,e),this.connect(this.model.properties.active.change,()=>this.setCSS()),this.connect(this.model.properties.bar_color.change,()=>this.setCSS()),this.connect(this.model.properties.css_classes.change,()=>this.setCSS()),this.connect(this.model.properties.value.change,()=>this.setValue()),this.connect(this.model.properties.max.change,()=>this.setMax())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.progressEl=document.createElement(\"progress\"),this.setValue(),this.setMax(),r.set_size(this.progressEl,this.model),this.setCSS();for(const s in e)this.progressEl.style.setProperty(s,e[s]);this.el.appendChild(this.progressEl)}setCSS(){let e=this.model.css_classes.join(\" \")+\" \"+this.model.bar_color;this.model.active&&(e+=\" active\"),this.progressEl.className=e}setValue(){null!=this.model.value&&(this.progressEl.value=this.model.value)}setMax(){null!=this.model.max&&(this.progressEl.max=this.model.max)}_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new r.CachedVariadicBox(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}}t.ProgressView=l,l.__name__=\"ProgressView\";class h extends o.HTMLBox{constructor(e){super(e)}static init_Progress(){this.prototype.default_view=l,this.define({active:[i.Boolean,!0],bar_color:[i.String,\"primary\"],style:[i.Any,{}],max:[i.Number,100],value:[i.Number,null]})}}t.Progress=h,h.__name__=\"Progress\",h.__module__=\"panel.models.widgets\",h.init_Progress()},\n",
+       "      \"38b2bc9574\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),a=e(\"@bokehjs/core/view\"),o=e(\"@bokehjs/core/util/array\"),c=e(\"@bokehjs/model\"),n=e(\"@bokehjs/protocol/receiver\");class r extends a.View{renderTo(){}}s.StateView=r,r.__name__=\"StateView\";class _ extends c.Model{constructor(e){super(e),this._receiver=new n.Receiver,this._cache={}}apply_state(e){this._receiver.consume(e.header),this._receiver.consume(e.metadata),this._receiver.consume(e.content),this._receiver.message&&this.document&&this.document.apply_json_patch(this._receiver.message.content)}_receive_json(e,t){const s=JSON.parse(e);this._cache[t]=s;let i=this.state;for(const e of this.values)i=i[e];i===t?this.apply_state(s):this._cache[i]&&this.apply_state(this._cache[i])}set_state(e,t){let s=o.copy(this.values);s[this.widgets[e.id]]=t;let i=this.state;for(const e of s)i=i[e];var a,c,n;this.values=s,this.json?this._cache[i]?this.apply_state(this._cache[i]):(a=i,c=e=>this._receive_json(e,i),(n=new XMLHttpRequest).overrideMimeType(\"application/json\"),n.open(\"GET\",a,!0),n.onreadystatechange=function(){4==n.readyState&&200==n.status&&c(n.responseText)},n.send(null)):this.apply_state(i)}static init_State(){this.prototype.default_view=r,this.define({json:[i.Boolean,!1],state:[i.Any,{}],widgets:[i.Any,{}],values:[i.Any,[]]})}}s.State=_,_.__name__=\"State\",_.__module__=\"panel.models.state\",_.init_State()},\n",
+       "      \"294adeb985\": function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),a=t(\"@bokehjs/core/util/types\"),n=t(\"@bokehjs/models/layouts/html_box\");class c extends n.HTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,this._plot),this.connect(this.model.properties.data_sources.change,()=>this._connect_sources()),this._connected=[],this._connect_sources()}_connect_sources(){for(const t in this.model.data_sources){const e=this.model.data_sources[t];this._connected.indexOf(t)<0&&(this.connect(e.properties.data.change,this._plot),this._connected.push(t))}}_fetch_datasets(){const t={};for(const e in this.model.data_sources){const s=this.model.data_sources[e],o=[],a=s.columns();for(let t=0;t<s.get_length();t++){const e={};for(const o of a)e[o]=s.data[o][t];o.push(e)}t[e]=o}return t}render(){super.render(),this._plot()}_plot(){const t=this.model.data;if(null!=t&&window.vegaEmbed){if(this.model.data_sources&&Object.keys(this.model.data_sources).length>0){const e=this._fetch_datasets();if(\"data\"in e&&(t.data.values=e.data,delete e.data),null!=t.data){const s=a.isArray(t.data)?t.data:[t.data];for(const t of s)t.name in e&&(t.values=e[t.name],delete e[t.name])}this.model.data.datasets=e}window.vegaEmbed(this.el,this.model.data,{actions:!1})}}}s.VegaPlotView=c,c.__name__=\"VegaPlotView\";class i extends n.HTMLBox{constructor(t){super(t)}static init_VegaPlot(){this.prototype.default_view=c,this.define({data:[o.Any],data_sources:[o.Any]})}}s.VegaPlot=i,i.__name__=\"VegaPlot\",i.__module__=\"panel.models.vega\",i.init_VegaPlot()},\n",
+       "      \"b0c3e9e9c2\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.videoEl.controls=!0,this.videoEl.src=this.model.value,this.videoEl.currentTime=this.model.time,this.videoEl.loop=this.model.loop,null!=this.model.volume?this.videoEl.volume=this.model.volume/100:this.model.volume=100*this.videoEl.volume,this.videoEl.onpause=()=>this.model.paused=!0,this.videoEl.onplay=()=>this.model.paused=!1,this.videoEl.ontimeupdate=()=>this.update_time(this),this.videoEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.videoEl),this.model.paused||this.videoEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.videoEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.videoEl.volume)}set_loop(){this.videoEl.loop=this.model.loop}set_paused(){!this.videoEl.paused&&this.model.paused&&this.videoEl.pause(),this.videoEl.paused&&!this.model.paused&&this.videoEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.videoEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.videoEl.currentTime=this.model.time)}set_value(){this.videoEl.src=this.model.value}}t.VideoView=d,d.__name__=\"VideoView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_Video(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}t.Video=h,h.__name__=\"Video\",h.__module__=\"panel.models.widgets\",h.init_Video()},\n",
+       "      \"3c7145a2fa\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"7116a7a602\");class a extends h.PanelHTMLBoxView{constructor(){super(...arguments),this.constraints={audio:!1,video:!0}}initialize(){super.initialize(),null!==this.model.timeout&&this.set_timeout()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.timeout.change,()=>this.set_timeout()),this.connect(this.model.properties.snapshot.change,()=>this.snapshot()),this.connect(this.model.properties.paused.change,()=>this.pause())}pause(){this.model.paused&&(null!=this.timer&&(clearInterval(this.timer),this.timer=null),this.videoEl.pause()),this.set_timeout()}set_timeout(){this.timer&&(clearInterval(this.timer),this.timer=null),this.model.timeout>0&&(this.timer=setInterval(()=>this.snapshot(),this.model.timeout))}snapshot(){this.canvasEl.width=this.videoEl.videoWidth,this.canvasEl.height=this.videoEl.videoHeight;const e=this.canvasEl.getContext(\"2d\");e&&e.drawImage(this.videoEl,0,0,this.canvasEl.width,this.canvasEl.height),this.model.value=this.canvasEl.toDataURL(\"image/\"+this.model.format,.95)}remove(){super.remove(),this.timer&&(clearInterval(this.timer),this.timer=null)}render(){super.render(),this.videoEl||(this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.canvasEl=document.createElement(\"canvas\"),this.el.appendChild(this.videoEl),navigator.mediaDevices.getUserMedia&&navigator.mediaDevices.getUserMedia(this.constraints).then(e=>{this.videoEl.srcObject=e,this.model.paused||this.videoEl.play()}).catch(console.error))}}i.VideoStreamView=a,a.__name__=\"VideoStreamView\";class l extends o.HTMLBox{constructor(e){super(e)}static init_VideoStream(){this.prototype.default_view=a,this.define({format:[s.String,\"png\"],paused:[s.Boolean,!1],snapshot:[s.Boolean,!1],timeout:[s.Number,0],value:[s.Any]}),this.override({height:240,width:320})}}i.VideoStream=l,l.__name__=\"VideoStream\",l.__module__=\"panel.models.widgets\",l.init_VideoStream()},\n",
+       "      \"ecfbb965eb\": function _(e,o,l){Object.defineProperty(l,\"__esModule\",{value:!0});var V=e(\"5b5e56e89a\");l.VTKPlot=V.VTKPlot;var t=e(\"729dd26c71\");l.VTKVolumePlot=t.VTKVolumePlot;var K=e(\"e23461e5d7\");l.VTKAxes=K.VTKAxes},\n",
+       "      \"5b5e56e89a\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/core/dom\"),a=e(\"c704c63c0a\"),o=e(\"aaf560d219\");class r extends a.AbstractVTKView{constructor(){super(...arguments),this._axes_initialized=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.axes.change,()=>{this._delete_axes(),this.model.axes&&this._set_axes(),this._vtk_renwin.getRenderWindow().render()}),this.el.addEventListener(\"mouseenter\",()=>{const e=this._vtk_renwin.getInteractor();this.model.enable_keybindings&&(document.querySelector(\"body\").addEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").addEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").addEventListener(\"keyup\",e.handleKeyUp))}),this.el.addEventListener(\"mouseleave\",()=>{const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)})}render(){super.render(),this._axes=null,this._axes_initialized=!1,this._plot()}after_layout(){this._axes_initialized||(this._render_axes_canvas(),this._axes_initialized=!0)}_render_axes_canvas(){const e=this._vtk_container.getElementsByTagName(\"canvas\");if(1!=e.length)throw Error(\"Error at initialization of the 3D scene, container should have one and only one canvas\");e[0].classList.add(\"scene3d-canvas\");const t=i.canvas({style:{position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"}});t.classList.add(\"axes-canvas\"),this._vtk_container.appendChild(t),this._vtk_renwin.setResizeCallback(()=>{const e=this._vtk_container.getBoundingClientRect(),n=Math.floor(e.width*window.devicePixelRatio),s=Math.floor(e.height*window.devicePixelRatio);t.setAttribute(\"width\",n.toFixed()),t.setAttribute(\"height\",s.toFixed())})}_delete_axes(){if(null==this._axes)return;Object.keys(this._axes).forEach(e=>this._vtk_renwin.getRenderer().removeActor(this._axes[e]));const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],t=e.getContext(\"2d\");t&&t.clearRect(0,0,e.clientWidth*window.devicePixelRatio,e.clientHeight*window.devicePixelRatio),this._axes=null}_set_axes(){if(this.model.axes){const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],{psActor:t,axesActor:n,gridActor:s}=this.model.axes.create_axes(e);this._axes={psActor:t,axesActor:n,gridActor:s},this._vtk_renwin.getRenderer().addActor(t),this._vtk_renwin.getRenderer().addActor(n),this._vtk_renwin.getRenderer().addActor(s)}}_plot(){if(!this.model.data)return void this._vtk_renwin.getRenderWindow().render();const e=o.vtkns.DataAccessHelper.get(\"zip\",{zipContent:atob(this.model.data),callback:t=>{const n=o.vtkns.HttpSceneLoader.newInstance({renderer:this._vtk_renwin.getRenderer(),dataAccessHelper:e}),s=o.vtk.macro.debounce(()=>{null==this._axes&&this.model.axes&&this._set_axes(),this.model.properties.camera.change.emit()},100);n.setUrl(\"index.json\"),n.onReady(s)}})}}n.VTKPlotView=r,r.__name__=\"VTKPlotView\";class d extends a.AbstractVTKPlot{constructor(e){super(e),this.outline=o.vtkns.OutlineFilter.newInstance();const t=o.vtkns.Mapper.newInstance();t.setInputConnection(this.outline.getOutputPort()),this.outline_actor=o.vtkns.Actor.newInstance(),this.outline_actor.setMapper(t)}static init_VTKPlot(){this.prototype.default_view=r,this.define({data:[s.String],axes:[s.Instance],enable_keybindings:[s.Boolean,!1]})}}n.VTKPlot=d,d.__name__=\"VTKPlot\",d.init_VTKPlot()},\n",
+       "      \"c704c63c0a\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"@bokehjs/core/dom\"),s=e(\"@bokehjs/core/util/object\"),a=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"7116a7a602\"),_=e(\"aaf560d219\");class d extends o.PanelHTMLBoxView{constructor(){super(...arguments),this._setting_camera=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>{this.invalidate_render()}),this.connect(this.model.properties.orientation_widget.change,()=>{this._orientation_widget_visibility(this.model.orientation_widget)}),this.connect(this.model.properties.camera.change,()=>this._set_camera_state())}_orientation_widget_visibility(e){this._orientationWidget.setEnabled(e),e?this._widgetManager.enablePicking():this._widgetManager.disablePicking(),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderWindow().render()}_create_orientation_widget(){const e=_.vtkns.AxesActor.newInstance(),t=_.vtkns.OrientationMarkerWidget.newInstance({actor:e,interactor:this._vtk_renwin.getInteractor()});t.setEnabled(!0),t.setViewportCorner(_.vtkns.OrientationMarkerWidget.Corners.BOTTOM_RIGHT),t.setViewportSize(.15),t.setMinPixelSize(100),t.setMaxPixelSize(300),this._orientationWidget=t;const i=_.vtkns.WidgetManager.newInstance();i.setRenderer(t.getRenderer());const n=_.vtkns.InteractiveOrientationWidget.newInstance();n.placeWidget(e.getBounds()),n.setBounds(e.getBounds()),n.setPlaceFactor(1);const r=i.addWidget(n);this._widgetManager=i,r.onOrientationChange(({direction:e})=>{const t=this._vtk_renwin.getRenderer().getActiveCamera(),i=t.getFocalPoint(),n=t.getPosition(),r=t.getViewUp(),s=Math.sqrt(Math.pow(n[0]-i[0],2)+Math.pow(n[1]-i[1],2)+Math.pow(n[2]-i[2],2));t.setPosition(i[0]+e[0]*s,i[1]+e[1]*s,i[2]+e[2]*s),e[0]&&t.setViewUp(_.majorAxis(r,1,2)),e[1]&&t.setViewUp(_.majorAxis(r,0,2)),e[2]&&t.setViewUp(_.majorAxis(r,0,1)),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}),this._orientation_widget_visibility(this.model.orientation_widget)}_get_camera_state(){if(!this._setting_camera){this._setting_camera=!0;const e=s.clone(this._vtk_renwin.getRenderer().getActiveCamera().get());delete e.classHierarchy,delete e.vtkObject,delete e.vtkCamera,delete e.viewPlaneNormal,this.model.camera=e,this._setting_camera=!1}}_set_camera_state(){if(!this._setting_camera){this._setting_camera=!0;try{this.model.camera&&this._vtk_renwin.getRenderer().getActiveCamera().set(this.model.camera)}finally{this._setting_camera=!1}this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}}render(){super.render(),this._orientationWidget=null,this._vtk_container=r.div(),o.set_size(this._vtk_container,this.model),this.el.appendChild(this._vtk_container),this._vtk_renwin=_.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container}),this._remove_default_key_binding(),this._create_orientation_widget(),this._vtk_renwin.getRenderer().getActiveCamera().onModified(()=>this._get_camera_state()),this._set_camera_state(),this.model.renderer_el=this._vtk_renwin}after_layout(){super.after_layout(),this._vtk_renwin.resize()}_remove_default_key_binding(){const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}}i.AbstractVTKView=d,d.__name__=\"AbstractVTKView\";class c extends a.HTMLBox{constructor(e){super(e)}getActors(){return this.renderer_el.getRenderer().getActors()}static init_AbstractVTKPlot(){this.define({orientation_widget:[n.Boolean,!1],camera:[n.Instance]}),this.override({height:300,width:300})}}i.AbstractVTKPlot=c,c.__name__=\"AbstractVTKPlot\",c.__module__=\"panel.models.vtk\",c.init_AbstractVTKPlot()},\n",
+       "      \"aaf560d219\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"@bokehjs/core/util/array\");function a(t){const e=Math.min(Math.max(Math.round(t),0),255).toString(16);return 2==e.length?e:\"0\"+e}function o(t,e,n){return\"#\"+a(t)+a(e)+a(n)}function i(t){for(var e=new ArrayBuffer(t.length),n=new Uint8Array(e),r=0,a=t.length;r<a;r++)n[r]=t.charCodeAt(r);return e}n.ARRAY_TYPES={uint8:Uint8Array,int8:Int8Array,uint16:Uint16Array,int16:Int16Array,uint32:Uint32Array,int32:Int32Array,float32:Float32Array,float64:Float64Array},n.vtk=window.vtk,n.vtkns={},n.vtk&&(n.vtkns.DataArray=n.vtk.Common.Core.vtkDataArray,n.vtkns.ImageData=n.vtk.Common.DataModel.vtkImageData,n.vtkns.OutlineFilter=n.vtk.Filters.General.vtkOutlineFilter,n.vtkns.CubeSource=n.vtk.Filters.Sources.vtkCubeSource,n.vtkns.LineSource=n.vtk.Filters.Sources.vtkLineSource,n.vtkns.PlaneSource=n.vtk.Filters.Sources.vtkPlaneSource,n.vtkns.PointSource=n.vtk.Filters.Sources.vtkPointSource,n.vtkns.OrientationMarkerWidget=n.vtk.Interaction.Widgets.vtkOrientationMarkerWidget,n.vtkns.DataAccessHelper=n.vtk.IO.Core.DataAccessHelper,n.vtkns.HttpSceneLoader=n.vtk.IO.Core.vtkHttpSceneLoader,n.vtkns.ImageSlice=n.vtk.Rendering.Core.vtkImageSlice,n.vtkns.Actor=n.vtk.Rendering.Core.vtkActor,n.vtkns.AxesActor=n.vtk.Rendering.Core.vtkAxesActor,n.vtkns.Mapper=n.vtk.Rendering.Core.vtkMapper,n.vtkns.ImageMapper=n.vtk.Rendering.Core.vtkImageMapper,n.vtkns.SphereMapper=n.vtk.Rendering.Core.vtkSphereMapper,n.vtkns.WidgetManager=n.vtk.Widgets.Core.vtkWidgetManager,n.vtkns.InteractiveOrientationWidget=n.vtk.Widgets.Widgets3D.vtkInteractiveOrientationWidget,n.vtkns.PixelSpaceCallbackMapper=n.vtk.Rendering.Core.vtkPixelSpaceCallbackMapper,n.vtkns.FullScreenRenderWindow=n.vtk.Rendering.Misc.vtkFullScreenRenderWindow,n.vtkns.VolumeController=n.vtk.Interaction.UI.vtkVolumeController,n.vtkns.Volume=n.vtk.Rendering.Core.vtkVolume,n.vtkns.VolumeMapper=n.vtk.Rendering.Core.vtkVolumeMapper,n.vtkns.ColorTransferFunction=n.vtk.Rendering.Core.vtkColorTransferFunction,n.vtkns.PiecewiseFunction=n.vtk.Common.DataModel.vtkPiecewiseFunction,n.vtkns.BoundingBox=n.vtk.Common.DataModel.vtkBoundingBox),n.hexToRGB=function(t){return[parseInt(t.slice(1,3),16)/255,parseInt(t.slice(3,5),16)/255,parseInt(t.slice(5,7),16)/255]},n.rgbToHex=o,n.vtkLutToMapper=function(t){const{scale:e,nodes:a}=t.get(\"scale\",\"nodes\");if(e!==n.vtkns.ColorTransferFunction.Scale.LINEAR)throw\"Error transfer function scale not handle\";const i=a.map(t=>t.x),s=Math.min(...i),k=Math.max(...i),v=r.linspace(s,k,255),c=[0,0,0];return{low:s,high:k,palette:v.map(e=>(t.getColor(e,c),o(255*c[0],255*c[1],255*c[2])))}},n.data2VTKImageData=function(t){const e=n.vtkns.ImageData.newInstance({spacing:t.spacing});e.setDimensions(t.dims),e.setOrigin(null!=t.origin?t.origin:t.dims.map(t=>t/2));const r=n.vtkns.DataArray.newInstance({name:\"scalars\",numberOfComponents:1,values:new n.ARRAY_TYPES[t.dtype](i(atob(t.buffer)))});return e.getPointData().setScalars(r),e},n.majorAxis=function(t,e,n){const r=[0,0,0],a=Math.abs(t[e])>Math.abs(t[n])?e:n,o=t[a]>0?1:-1;return r[a]=o,r},n.cartesian_product=function(...t){return t.reduce((t,e)=>t.flatMap(t=>e.map(e=>[].concat(t,e))))}},\n",
+       "      \"729dd26c71\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"c704c63c0a\"),n=e(\"aaf560d219\");class o extends r.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.colormap.change,()=>{this.colormap_slector.value=this.model.colormap;const e=new Event(\"change\");this.colormap_slector.dispatchEvent(e)}),this.connect(this.model.properties.shadow.change,()=>{this.shadow_selector.value=this.model.shadow?\"1\":\"0\";const e=new Event(\"change\");this.shadow_selector.dispatchEvent(e)}),this.connect(this.model.properties.sampling.change,()=>{this.sampling_slider.value=this.model.sampling.toFixed(2);const e=new Event(\"input\");this.sampling_slider.dispatchEvent(e)}),this.connect(this.model.properties.edge_gradient.change,()=>{this.edge_gradient_slider.value=this.model.edge_gradient.toFixed(2);const e=new Event(\"input\");this.edge_gradient_slider.dispatchEvent(e)}),this.connect(this.model.properties.rescale.change,()=>{this._controllerWidget.setRescaleColorMap(this.model.rescale),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.ambient.change,()=>{this.volume.getProperty().setAmbient(this.model.ambient),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.diffuse.change,()=>{this.volume.getProperty().setDiffuse(this.model.diffuse),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular.change,()=>{this.volume.getProperty().setSpecular(this.model.specular),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular_power.change,()=>{this.volume.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_volume.change,()=>{this._set_volume_visibility(this.model.display_volume),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_slices.change,()=>{this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_i.change,()=>{this.image_actor_i.getMapper().setISlice(this.model.slice_i),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_j.change,()=>{this.image_actor_j.getMapper().setJSlice(this.model.slice_j),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_k.change,()=>{this.image_actor_k.getMapper().setKSlice(this.model.slice_k),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.render_background.change,()=>{this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.interpolation.change,()=>{this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderWindow().render()})}get volume(){return this._controllerWidget.getActor()}get image_actor_i(){return this._vtk_renwin.getRenderer().getActors()[0]}get image_actor_j(){return this._vtk_renwin.getRenderer().getActors()[1]}get image_actor_k(){return this._vtk_renwin.getRenderer().getActors()[2]}get shadow_selector(){return this.el.querySelector(\".js-shadow\")}get edge_gradient_slider(){return this.el.querySelector(\".js-edge\")}get sampling_slider(){return this.el.querySelector(\".js-spacing\")}get colormap_slector(){return this.el.querySelector(\".js-color-preset\")}_set_interpolation(e){\"fast_linear\"==e?(this.volume.getProperty().setInterpolationTypeToFastLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):\"linear\"==e?(this.volume.getProperty().setInterpolationTypeToLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):(this.volume.getProperty().setInterpolationTypeToNearest(),this.image_actor_i.getProperty().setInterpolationTypeToNearest())}render(){super.render(),this._controllerWidget=n.vtkns.VolumeController.newInstance({size:[400,150],rescaleColorMap:this.model.rescale}),this._vtk_image_data=n.data2VTKImageData(this.model.data),this._controllerWidget.setContainer(this.el),this._vtk_renwin.getRenderWindow().getInteractor(),this._vtk_renwin.getRenderWindow().getInteractor().setDesiredUpdateRate(45),this._plot_volume(),this._connect_controls(),this._plot_slices(),this._set_volume_visibility(this.model.display_volume),this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderer().resetCamera()}_connect_controls(){this.colormap_slector.addEventListener(\"change\",()=>{this.model.colormap=this.colormap_slector.value}),this.model.colormap?this.model.properties.colormap.change.emit():this.model.colormap=this.colormap_slector.value,this.shadow_selector.addEventListener(\"change\",()=>{this.model.shadow=!!Number(this.shadow_selector.value)}),(this.model.shadow=!!Number(this.shadow_selector.value))&&this.model.properties.shadow.change.emit(),this.sampling_slider.addEventListener(\"input\",()=>{const e=Number(this.sampling_slider.value);Math.abs(this.model.sampling-e)>=.005&&(this.model.sampling=e)}),Math.abs(this.model.sampling-Number(this.shadow_selector.value))>=.005&&this.model.properties.sampling.change.emit(),this.edge_gradient_slider.addEventListener(\"input\",()=>{const e=Number(this.edge_gradient_slider.value);Math.abs(this.model.edge_gradient-e)>=.005&&(this.model.edge_gradient=e)}),Math.abs(this.model.edge_gradient-Number(this.edge_gradient_slider.value))>=.005&&this.model.properties.edge_gradient.change.emit()}_plot_volume(){const e=this._vtk_image_data,t=n.vtkns.Volume.newInstance(),i=n.vtkns.VolumeMapper.newInstance();t.setMapper(i),i.setInputData(e);const s=(e.getPointData().getScalars()||e.getPointData().getArrays()[0]).getRange(),r=n.vtkns.ColorTransferFunction.newInstance();r.onModified(()=>this.model.mapper=n.vtkLutToMapper(r));const o=n.vtkns.PiecewiseFunction.newInstance(),a=.7*Math.sqrt(e.getSpacing().map(e=>e*e).reduce((e,t)=>e+t,0));i.setSampleDistance(a),t.getProperty().setRGBTransferFunction(0,r),t.getProperty().setScalarOpacity(0,o),t.getProperty().setInterpolationTypeToFastLinear(),t.getProperty().setScalarOpacityUnitDistance(0,n.vtkns.BoundingBox.getDiagonalLength(e.getBounds())/Math.max(...e.getDimensions())),t.getProperty().setGradientOpacityMinimumValue(0,0),t.getProperty().setGradientOpacityMaximumValue(0,.05*(s[1]-s[0])),t.getProperty().setShade(this.model.shadow),t.getProperty().setUseGradientOpacity(0,!0),t.getProperty().setGradientOpacityMinimumOpacity(0,0),t.getProperty().setGradientOpacityMaximumOpacity(0,1),t.getProperty().setAmbient(this.model.ambient),t.getProperty().setDiffuse(this.model.diffuse),t.getProperty().setSpecular(this.model.specular),t.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderer().addVolume(t),this._controllerWidget.setupContent(this._vtk_renwin.getRenderWindow(),t,!0)}_plot_slices(){const e=this._vtk_image_data,t=n.vtkns.ImageSlice.newInstance(),i=n.vtkns.ImageSlice.newInstance(),s=n.vtkns.ImageSlice.newInstance(),r=n.vtkns.ImageMapper.newInstance(),o=n.vtkns.ImageMapper.newInstance(),a=n.vtkns.ImageMapper.newInstance();r.setInputData(e),r.setISlice(this.model.slice_i),t.setMapper(r),o.setInputData(e),o.setJSlice(this.model.slice_j),i.setMapper(o),a.setInputData(e),a.setKSlice(this.model.slice_k),s.setMapper(a);const l=n.vtkns.PiecewiseFunction.newInstance();l.removeAllPoints(),l.addPoint(0,1);const c=this.volume.getProperty().getRGBTransferFunction(0),d=t.getProperty();i.setProperty(d),s.setProperty(d),d.setRGBTransferFunction(c),d.setScalarOpacity(l);const h=this._vtk_renwin.getRenderer();h.addActor(t),h.addActor(i),h.addActor(s)}_set_volume_visibility(e){this.volume.setVisibility(e)}_set_slices_visibility(e){this._vtk_renwin.getRenderer().getActors().map(t=>t.setVisibility(e))}}i.VTKVolumePlotView=o,o.__name__=\"VTKVolumePlotView\";class a extends r.AbstractVTKPlot{constructor(e){super(e)}static init_VTKVolumePlot(){this.prototype.default_view=o,this.define({data:[s.Instance],shadow:[s.Boolean,!0],sampling:[s.Number,.4],edge_gradient:[s.Number,.2],colormap:[s.String],rescale:[s.Boolean,!1],ambient:[s.Number,.2],diffuse:[s.Number,.7],specular:[s.Number,.3],specular_power:[s.Number,8],slice_i:[s.Int,0],slice_j:[s.Int,0],slice_k:[s.Int,0],display_volume:[s.Boolean,!0],display_slices:[s.Boolean,!1],render_background:[s.String,\"#52576e\"],interpolation:[s.Any,\"fast_linear\"],mapper:[s.Instance]})}}i.VTKVolumePlot=a,a.__name__=\"VTKVolumePlot\",a.init_VTKVolumePlot()},\n",
+       "      \"e23461e5d7\": function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(\"tslib\"),n=t(\"2f3fd5db07\"),a=t(\"@bokehjs/model\"),c=e.__importStar(t(\"@bokehjs/core/properties\")),r=t(\"aaf560d219\");class h extends a.Model{constructor(t){super(t)}static init_VTKAxes(){this.define({origin:[c.Array],xticker:[c.Instance],yticker:[c.Instance],zticker:[c.Instance],digits:[c.Number,1],show_grid:[c.Boolean,!0],grid_opacity:[c.Number,.1],axes_opacity:[c.Number,1],fontsize:[c.Number,12]})}get xticks(){return this.xticker.ticks}get yticks(){return this.yticker.ticks}get zticks(){return this.zticker.ticks}get xlabels(){return this.xticker.labels?this.xticker.labels:this.xticks.map(t=>t.toFixed(this.digits))}get ylabels(){return this.yticker.labels?this.yticker.labels:this.yticks.map(t=>t.toFixed(this.digits))}get zlabels(){return this.zticker.labels?this.zticker.labels:this.zticks.map(t=>t.toFixed(this.digits))}_make_grid_lines(t,s,i){const e=[];for(let n=0;n<t-1;n++)for(let t=0;t<s-1;t++){const a=n*s+t+i,c=[5,a,n*s+t+1+i,(n+1)*s+t+1+i,(n+1)*s+t+i,a];e.push(c)}return e}_create_grid_axes(){const t=[];t.push(r.cartesian_product(this.xticks,this.yticks,[this.origin[2]])),t.push(r.cartesian_product([this.origin[0]],this.yticks,this.zticks)),t.push(r.cartesian_product(this.xticks,[this.origin[1]],this.zticks));const s=[];let i=0;s.push(this._make_grid_lines(this.xticks.length,this.yticks.length,i)),i+=this.xticks.length*this.yticks.length,s.push(this._make_grid_lines(this.yticks.length,this.zticks.length,i)),i+=this.yticks.length*this.zticks.length,s.push(this._make_grid_lines(this.xticks.length,this.zticks.length,i));const e=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:t.flat(2)},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:s.flat(2)}}),n=r.vtkns.Mapper.newInstance(),a=r.vtkns.Actor.newInstance();return n.setInputData(e),a.setMapper(n),a.getProperty().setOpacity(this.grid_opacity),a.setVisibility(this.show_grid),a}create_axes(t){const s=[this.xticks,this.yticks,this.zticks].map((t,s)=>{let i=null;switch(s){case 0:i=r.cartesian_product(t,[this.origin[1]],[this.origin[2]]);break;case 1:i=r.cartesian_product([this.origin[0]],t,[this.origin[2]]);break;case 2:i=r.cartesian_product([this.origin[0]],[this.origin[1]],t)}return i}).flat(2),i=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:s},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:[2,0,this.xticks.length-1,2,this.xticks.length,this.xticks.length+this.yticks.length-1,2,this.xticks.length+this.yticks.length,this.xticks.length+this.yticks.length+this.zticks.length-1]}}),e=r.vtkns.PixelSpaceCallbackMapper.newInstance();e.setInputData(i),e.setUseZValues(!0),e.setCallback((s,i,a)=>{const c=t.getContext(\"2d\");if(c){const r={height:t.clientHeight*window.devicePixelRatio,width:t.clientWidth*window.devicePixelRatio},h=e.getInputData().getPoints(),l=i.getViewMatrix();n.mat4.transpose(l,l);const o=i.getProjectionMatrix(a,-1,1);n.mat4.transpose(o,o),c.clearRect(0,0,r.width,r.height),s.forEach((t,s)=>{const i=h.getPoint(s),e=n.vec3.fromValues(i[0],i[1],i[2]);if(n.vec3.transformMat4(e,e,l),e[2]+=.05,n.vec3.transformMat4(e,e,o),e[2]-.001<t[3]){let i;c.font=\"30px serif\",c.textAlign=\"center\",c.textBaseline=\"alphabetic\",c.fillText(\".\",t[0],r.height-t[1]+2),c.font=this.fontsize*window.devicePixelRatio+\"px serif\",c.textAlign=\"right\",c.textBaseline=\"top\",i=s<this.xticks.length?this.xlabels[s]:s>=this.xticks.length&&s<this.xticks.length+this.yticks.length?this.ylabels[s-this.xticks.length]:this.zlabels[s-(this.xticks.length+this.yticks.length)],c.fillText(\"\"+i,t[0],r.height-t[1])}})}});const a=r.vtkns.Actor.newInstance();a.setMapper(e);const c=r.vtkns.Mapper.newInstance();c.setInputData(i);const h=r.vtkns.Actor.newInstance();return h.setMapper(c),h.getProperty().setOpacity(this.axes_opacity),{psActor:a,axesActor:h,gridActor:this._create_grid_axes()}}}i.VTKAxes=h,h.__name__=\"VTKAxes\",h.__module__=\"panel.models.vtk\",h.init_VTKAxes()},\n",
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+       "      \"68ca94c15c\": function _(t,a,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.EPSILON=1e-6,r.ARRAY_TYPE=\"undefined\"!=typeof Float32Array?Float32Array:Array,r.RANDOM=Math.random,r.setMatrixArrayType=function(t){r.ARRAY_TYPE=t};var n=Math.PI/180;r.toRadian=function(t){return t*n},r.equals=function(t,a){return Math.abs(t-a)<=r.EPSILON*Math.max(1,Math.abs(t),Math.abs(a))},Math.hypot||(Math.hypot=function(){for(var t=0,a=arguments.length;a--;)t+=arguments[a]*arguments[a];return Math.sqrt(t)})},\n",
+       "      \"7c0b8e6048\": function _(t,n,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function u(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1],f=r[2],s=r[3];return t[0]=a*c+e*i,t[1]=u*c+o*i,t[2]=a*f+e*s,t[3]=u*f+o*s,t}function e(t,n,r){return t[0]=n[0]-r[0],t[1]=n[1]-r[1],t[2]=n[2]-r[2],t[3]=n[3]-r[3],t}r.create=function(){var t=new a.ARRAY_TYPE(4);return a.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},r.clone=function(t){var n=new a.ARRAY_TYPE(4);return n[0]=t[0],n[1]=t[1],n[2]=t[2],n[3]=t[3],n},r.copy=function(t,n){return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t},r.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t},r.fromValues=function(t,n,r,u){var e=new a.ARRAY_TYPE(4);return e[0]=t,e[1]=n,e[2]=r,e[3]=u,e},r.set=function(t,n,r,a,u){return t[0]=n,t[1]=r,t[2]=a,t[3]=u,t},r.transpose=function(t,n){if(t===n){var r=n[1];t[1]=n[2],t[2]=r}else t[0]=n[0],t[1]=n[2],t[2]=n[1],t[3]=n[3];return t},r.invert=function(t,n){var r=n[0],a=n[1],u=n[2],e=n[3],o=r*e-u*a;return o?(o=1/o,t[0]=e*o,t[1]=-a*o,t[2]=-u*o,t[3]=r*o,t):null},r.adjoint=function(t,n){var r=n[0];return t[0]=n[3],t[1]=-n[1],t[2]=-n[2],t[3]=r,t},r.determinant=function(t){return t[0]*t[3]-t[2]*t[1]},r.multiply=u,r.rotate=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=Math.sin(r),i=Math.cos(r);return t[0]=a*i+e*c,t[1]=u*i+o*c,t[2]=a*-c+e*i,t[3]=u*-c+o*i,t},r.scale=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1];return t[0]=a*c,t[1]=u*c,t[2]=e*i,t[3]=o*i,t},r.fromRotation=function(t,n){var r=Math.sin(n),a=Math.cos(n);return t[0]=a,t[1]=r,t[2]=-r,t[3]=a,t},r.fromScaling=function(t,n){return t[0]=n[0],t[1]=0,t[2]=0,t[3]=n[1],t},r.str=function(t){return\"mat2(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\")\"},r.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3])},r.LDU=function(t,n,r,a){return t[2]=a[2]/a[0],r[0]=a[0],r[1]=a[1],r[3]=a[3]-t[2]*r[1],[t,n,r]},r.add=function(t,n,r){return t[0]=n[0]+r[0],t[1]=n[1]+r[1],t[2]=n[2]+r[2],t[3]=n[3]+r[3],t},r.subtract=e,r.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]&&t[3]===n[3]},r.equals=function(t,n){var r=t[0],u=t[1],e=t[2],o=t[3],c=n[0],i=n[1],f=n[2],s=n[3];return Math.abs(r-c)<=a.EPSILON*Math.max(1,Math.abs(r),Math.abs(c))&&Math.abs(u-i)<=a.EPSILON*Math.max(1,Math.abs(u),Math.abs(i))&&Math.abs(e-f)<=a.EPSILON*Math.max(1,Math.abs(e),Math.abs(f))&&Math.abs(o-s)<=a.EPSILON*Math.max(1,Math.abs(o),Math.abs(s))},r.multiplyScalar=function(t,n,r){return t[0]=n[0]*r,t[1]=n[1]*r,t[2]=n[2]*r,t[3]=n[3]*r,t},r.multiplyScalarAndAdd=function(t,n,r,a){return t[0]=n[0]+r[0]*a,t[1]=n[1]+r[1]*a,t[2]=n[2]+r[2]*a,t[3]=n[3]+r[3]*a,t},r.mul=u,r.sub=e},\n",
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+       "      \"0285c50a7e\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function u(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1],l=n[2],m=n[3],v=n[4],E=n[5],P=n[6],S=n[7],d=n[8];return t[0]=f*r+b*e+l*s,t[1]=f*u+b*i+l*M,t[2]=f*o+b*c+l*h,t[3]=m*r+v*e+E*s,t[4]=m*u+v*i+E*M,t[5]=m*o+v*c+E*h,t[6]=P*r+S*e+d*s,t[7]=P*u+S*i+d*M,t[8]=P*o+S*c+d*h,t}function o(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t}n.create=function(){var t=new r.ARRAY_TYPE(9);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},n.fromMat4=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[4],t[4]=a[5],t[5]=a[6],t[6]=a[8],t[7]=a[9],t[8]=a[10],t},n.clone=function(t){var a=new r.ARRAY_TYPE(9);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromValues=function(t,a,n,u,o,e,i,c,s){var M=new r.ARRAY_TYPE(9);return M[0]=t,M[1]=a,M[2]=n,M[3]=u,M[4]=o,M[5]=e,M[6]=i,M[7]=c,M[8]=s,M},n.set=function(t,a,n,r,u,o,e,i,c,s){return t[0]=a,t[1]=n,t[2]=r,t[3]=u,t[4]=o,t[5]=e,t[6]=i,t[7]=c,t[8]=s,t},n.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],u=a[5];t[1]=a[3],t[2]=a[6],t[3]=n,t[5]=a[7],t[6]=r,t[7]=u}else t[0]=a[0],t[1]=a[3],t[2]=a[6],t[3]=a[1],t[4]=a[4],t[5]=a[7],t[6]=a[2],t[7]=a[5],t[8]=a[8];return t},n.invert=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=M*e-i*s,f=-M*o+i*c,b=s*o-e*c,l=n*h+r*f+u*b;return l?(l=1/l,t[0]=h*l,t[1]=(-M*r+u*s)*l,t[2]=(i*r-u*e)*l,t[3]=f*l,t[4]=(M*n-u*c)*l,t[5]=(-i*n+u*o)*l,t[6]=b*l,t[7]=(-s*n+r*c)*l,t[8]=(e*n-r*o)*l,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8];return t[0]=e*M-i*s,t[1]=u*s-r*M,t[2]=r*i-u*e,t[3]=i*c-o*M,t[4]=n*M-u*c,t[5]=u*o-n*i,t[6]=o*s-e*c,t[7]=r*c-n*s,t[8]=n*e-r*o,t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],u=t[3],o=t[4],e=t[5],i=t[6],c=t[7],s=t[8];return a*(s*o-e*c)+n*(-s*u+e*i)+r*(c*u-o*i)},n.multiply=u,n.translate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1];return t[0]=r,t[1]=u,t[2]=o,t[3]=e,t[4]=i,t[5]=c,t[6]=f*r+b*e+s,t[7]=f*u+b*i+M,t[8]=f*o+b*c+h,t},n.rotate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=Math.sin(n),b=Math.cos(n);return t[0]=b*r+f*e,t[1]=b*u+f*i,t[2]=b*o+f*c,t[3]=b*e-f*r,t[4]=b*i-f*u,t[5]=b*c-f*o,t[6]=s,t[7]=M,t[8]=h,t},n.scale=function(t,a,n){var r=n[0],u=n[1];return t[0]=r*a[0],t[1]=r*a[1],t[2]=r*a[2],t[3]=u*a[3],t[4]=u*a[4],t[5]=u*a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=a[0],t[7]=a[1],t[8]=1,t},n.fromRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=-n,t[4]=r,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=a[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromMat2d=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=0,t[3]=a[2],t[4]=a[3],t[5]=0,t[6]=a[4],t[7]=a[5],t[8]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=n+n,i=r+r,c=u+u,s=n*e,M=r*e,h=r*i,f=u*e,b=u*i,l=u*c,m=o*e,v=o*i,E=o*c;return t[0]=1-h-l,t[3]=M-E,t[6]=f+v,t[1]=M+E,t[4]=1-s-l,t[7]=b-m,t[2]=f-v,t[5]=b+m,t[8]=1-s-h,t},n.normalFromMat4=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],E=a[15],P=n*i-r*e,S=n*c-u*e,d=n*s-o*e,A=r*c-u*i,x=r*s-o*i,O=u*s-o*c,p=M*m-h*l,I=M*v-f*l,L=M*E-b*l,N=h*v-f*m,R=h*E-b*m,_=f*E-b*v,y=P*_-S*R+d*N+A*L-x*I+O*p;return y?(y=1/y,t[0]=(i*_-c*R+s*N)*y,t[1]=(c*L-e*_-s*I)*y,t[2]=(e*R-i*L+s*p)*y,t[3]=(u*R-r*_-o*N)*y,t[4]=(n*_-u*L+o*I)*y,t[5]=(r*L-n*R-o*p)*y,t[6]=(m*O-v*x+E*A)*y,t[7]=(v*d-l*O-E*S)*y,t[8]=(l*x-m*d+E*P)*y,t):null},n.projection=function(t,a,n){return t[0]=2/a,t[1]=0,t[2]=0,t[3]=0,t[4]=-2/n,t[5]=0,t[6]=-1,t[7]=1,t[8]=1,t},n.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t},n.subtract=o,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]},n.equals=function(t,a){var n=t[0],u=t[1],o=t[2],e=t[3],i=t[4],c=t[5],s=t[6],M=t[7],h=t[8],f=a[0],b=a[1],l=a[2],m=a[3],v=a[4],E=a[5],P=a[6],S=a[7],d=a[8];return Math.abs(n-f)<=r.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(u-b)<=r.EPSILON*Math.max(1,Math.abs(u),Math.abs(b))&&Math.abs(o-l)<=r.EPSILON*Math.max(1,Math.abs(o),Math.abs(l))&&Math.abs(e-m)<=r.EPSILON*Math.max(1,Math.abs(e),Math.abs(m))&&Math.abs(i-v)<=r.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(c-E)<=r.EPSILON*Math.max(1,Math.abs(c),Math.abs(E))&&Math.abs(s-P)<=r.EPSILON*Math.max(1,Math.abs(s),Math.abs(P))&&Math.abs(M-S)<=r.EPSILON*Math.max(1,Math.abs(M),Math.abs(S))&&Math.abs(h-d)<=r.EPSILON*Math.max(1,Math.abs(h),Math.abs(d))},n.mul=u,n.sub=o},\n",
+       "      \"a427635f32\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function h(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function o(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],v=a[12],m=a[13],P=a[14],E=a[15],S=n[0],I=n[1],O=n[2],p=n[3];return t[0]=S*r+I*M+O*c+p*v,t[1]=S*h+I*e+O*f+p*m,t[2]=S*o+I*s+O*b+p*P,t[3]=S*u+I*i+O*l+p*E,S=n[4],I=n[5],O=n[6],p=n[7],t[4]=S*r+I*M+O*c+p*v,t[5]=S*h+I*e+O*f+p*m,t[6]=S*o+I*s+O*b+p*P,t[7]=S*u+I*i+O*l+p*E,S=n[8],I=n[9],O=n[10],p=n[11],t[8]=S*r+I*M+O*c+p*v,t[9]=S*h+I*e+O*f+p*m,t[10]=S*o+I*s+O*b+p*P,t[11]=S*u+I*i+O*l+p*E,S=n[12],I=n[13],O=n[14],p=n[15],t[12]=S*r+I*M+O*c+p*v,t[13]=S*h+I*e+O*f+p*m,t[14]=S*o+I*s+O*b+p*P,t[15]=S*u+I*i+O*l+p*E,t}function u(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=r+r,e=h+h,s=o+o,i=r*M,c=r*e,f=r*s,b=h*e,l=h*s,v=o*s,m=u*M,P=u*e,E=u*s;return t[0]=1-(b+v),t[1]=c+E,t[2]=f-P,t[3]=0,t[4]=c-E,t[5]=1-(i+v),t[6]=l+m,t[7]=0,t[8]=f+P,t[9]=l-m,t[10]=1-(i+b),t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t}function M(t,a){var n=a[0],r=a[1],h=a[2],o=a[4],u=a[5],M=a[6],e=a[8],s=a[9],i=a[10];return t[0]=Math.hypot(n,r,h),t[1]=Math.hypot(o,u,M),t[2]=Math.hypot(e,s,i),t}function e(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t[9]=a[9]-n[9],t[10]=a[10]-n[10],t[11]=a[11]-n[11],t[12]=a[12]-n[12],t[13]=a[13]-n[13],t[14]=a[14]-n[14],t[15]=a[15]-n[15],t}n.create=function(){var t=new r.ARRAY_TYPE(16);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},n.clone=function(t){var a=new r.ARRAY_TYPE(16);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a[9]=t[9],a[10]=t[10],a[11]=t[11],a[12]=t[12],a[13]=t[13],a[14]=t[14],a[15]=t[15],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.fromValues=function(t,a,n,h,o,u,M,e,s,i,c,f,b,l,v,m){var P=new r.ARRAY_TYPE(16);return P[0]=t,P[1]=a,P[2]=n,P[3]=h,P[4]=o,P[5]=u,P[6]=M,P[7]=e,P[8]=s,P[9]=i,P[10]=c,P[11]=f,P[12]=b,P[13]=l,P[14]=v,P[15]=m,P},n.set=function(t,a,n,r,h,o,u,M,e,s,i,c,f,b,l,v,m){return t[0]=a,t[1]=n,t[2]=r,t[3]=h,t[4]=o,t[5]=u,t[6]=M,t[7]=e,t[8]=s,t[9]=i,t[10]=c,t[11]=f,t[12]=b,t[13]=l,t[14]=v,t[15]=m,t},n.identity=h,n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],h=a[3],o=a[6],u=a[7],M=a[11];t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=n,t[6]=a[9],t[7]=a[13],t[8]=r,t[9]=o,t[11]=a[14],t[12]=h,t[13]=u,t[14]=M}else t[0]=a[0],t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=a[1],t[5]=a[5],t[6]=a[9],t[7]=a[13],t[8]=a[2],t[9]=a[6],t[10]=a[10],t[11]=a[14],t[12]=a[3],t[13]=a[7],t[14]=a[11],t[15]=a[15];return t},n.invert=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15],E=n*M-r*u,S=n*e-h*u,I=n*s-o*u,O=r*e-h*M,p=r*s-o*M,L=h*s-o*e,N=i*v-c*l,R=i*m-f*l,x=i*P-b*l,y=c*m-f*v,A=c*P-b*v,Y=f*P-b*m,d=E*Y-S*A+I*y+O*x-p*R+L*N;return d?(d=1/d,t[0]=(M*Y-e*A+s*y)*d,t[1]=(h*A-r*Y-o*y)*d,t[2]=(v*L-m*p+P*O)*d,t[3]=(f*p-c*L-b*O)*d,t[4]=(e*x-u*Y-s*R)*d,t[5]=(n*Y-h*x+o*R)*d,t[6]=(m*I-l*L-P*S)*d,t[7]=(i*L-f*I+b*S)*d,t[8]=(u*A-M*x+s*N)*d,t[9]=(r*x-n*A-o*N)*d,t[10]=(l*p-v*I+P*E)*d,t[11]=(c*I-i*p-b*E)*d,t[12]=(M*R-u*y-e*N)*d,t[13]=(n*y-r*R+h*N)*d,t[14]=(v*S-l*O-m*E)*d,t[15]=(i*O-c*S+f*E)*d,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15];return t[0]=M*(f*P-b*m)-c*(e*P-s*m)+v*(e*b-s*f),t[1]=-(r*(f*P-b*m)-c*(h*P-o*m)+v*(h*b-o*f)),t[2]=r*(e*P-s*m)-M*(h*P-o*m)+v*(h*s-o*e),t[3]=-(r*(e*b-s*f)-M*(h*b-o*f)+c*(h*s-o*e)),t[4]=-(u*(f*P-b*m)-i*(e*P-s*m)+l*(e*b-s*f)),t[5]=n*(f*P-b*m)-i*(h*P-o*m)+l*(h*b-o*f),t[6]=-(n*(e*P-s*m)-u*(h*P-o*m)+l*(h*s-o*e)),t[7]=n*(e*b-s*f)-u*(h*b-o*f)+i*(h*s-o*e),t[8]=u*(c*P-b*v)-i*(M*P-s*v)+l*(M*b-s*c),t[9]=-(n*(c*P-b*v)-i*(r*P-o*v)+l*(r*b-o*c)),t[10]=n*(M*P-s*v)-u*(r*P-o*v)+l*(r*s-o*M),t[11]=-(n*(M*b-s*c)-u*(r*b-o*c)+i*(r*s-o*M)),t[12]=-(u*(c*m-f*v)-i*(M*m-e*v)+l*(M*f-e*c)),t[13]=n*(c*m-f*v)-i*(r*m-h*v)+l*(r*f-h*c),t[14]=-(n*(M*m-e*v)-u*(r*m-h*v)+l*(r*e-h*M)),t[15]=n*(M*f-e*c)-u*(r*f-h*c)+i*(r*e-h*M),t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],h=t[3],o=t[4],u=t[5],M=t[6],e=t[7],s=t[8],i=t[9],c=t[10],f=t[11],b=t[12],l=t[13],v=t[14],m=t[15];return(a*u-n*o)*(c*m-f*v)-(a*M-r*o)*(i*m-f*l)+(a*e-h*o)*(i*v-c*l)+(n*M-r*u)*(s*m-f*b)-(n*e-h*u)*(s*v-c*b)+(r*e-h*M)*(s*l-i*b)},n.multiply=o,n.translate=function(t,a,n){var r,h,o,u,M,e,s,i,c,f,b,l,v=n[0],m=n[1],P=n[2];return a===t?(t[12]=a[0]*v+a[4]*m+a[8]*P+a[12],t[13]=a[1]*v+a[5]*m+a[9]*P+a[13],t[14]=a[2]*v+a[6]*m+a[10]*P+a[14],t[15]=a[3]*v+a[7]*m+a[11]*P+a[15]):(r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],t[0]=r,t[1]=h,t[2]=o,t[3]=u,t[4]=M,t[5]=e,t[6]=s,t[7]=i,t[8]=c,t[9]=f,t[10]=b,t[11]=l,t[12]=r*v+M*m+c*P+a[12],t[13]=h*v+e*m+f*P+a[13],t[14]=o*v+s*m+b*P+a[14],t[15]=u*v+i*m+l*P+a[15]),t},n.scale=function(t,a,n){var r=n[0],h=n[1],o=n[2];return t[0]=a[0]*r,t[1]=a[1]*r,t[2]=a[2]*r,t[3]=a[3]*r,t[4]=a[4]*h,t[5]=a[5]*h,t[6]=a[6]*h,t[7]=a[7]*h,t[8]=a[8]*o,t[9]=a[9]*o,t[10]=a[10]*o,t[11]=a[11]*o,t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.rotate=function(t,a,n,h){var o,u,M,e,s,i,c,f,b,l,v,m,P,E,S,I,O,p,L,N,R,x,y,A,Y=h[0],d=h[1],g=h[2],T=Math.hypot(Y,d,g);return T<r.EPSILON?null:(Y*=T=1/T,d*=T,g*=T,o=Math.sin(n),M=1-(u=Math.cos(n)),e=a[0],s=a[1],i=a[2],c=a[3],f=a[4],b=a[5],l=a[6],v=a[7],m=a[8],P=a[9],E=a[10],S=a[11],I=Y*Y*M+u,O=d*Y*M+g*o,p=g*Y*M-d*o,L=Y*d*M-g*o,N=d*d*M+u,R=g*d*M+Y*o,x=Y*g*M+d*o,y=d*g*M-Y*o,A=g*g*M+u,t[0]=e*I+f*O+m*p,t[1]=s*I+b*O+P*p,t[2]=i*I+l*O+E*p,t[3]=c*I+v*O+S*p,t[4]=e*L+f*N+m*R,t[5]=s*L+b*N+P*R,t[6]=i*L+l*N+E*R,t[7]=c*L+v*N+S*R,t[8]=e*x+f*y+m*A,t[9]=s*x+b*y+P*A,t[10]=i*x+l*y+E*A,t[11]=c*x+v*y+S*A,a!==t&&(t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t)},n.rotateX=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[4],u=a[5],M=a[6],e=a[7],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[4]=o*h+s*r,t[5]=u*h+i*r,t[6]=M*h+c*r,t[7]=e*h+f*r,t[8]=s*h-o*r,t[9]=i*h-u*r,t[10]=c*h-M*r,t[11]=f*h-e*r,t},n.rotateY=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h-s*r,t[1]=u*h-i*r,t[2]=M*h-c*r,t[3]=e*h-f*r,t[8]=o*r+s*h,t[9]=u*r+i*h,t[10]=M*r+c*h,t[11]=e*r+f*h,t},n.rotateZ=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7];return a!==t&&(t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h+s*r,t[1]=u*h+i*r,t[2]=M*h+c*r,t[3]=e*h+f*r,t[4]=s*h-o*r,t[5]=i*h-u*r,t[6]=c*h-M*r,t[7]=f*h-e*r,t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=a[0],t[13]=a[1],t[14]=a[2],t[15]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=a[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotation=function(t,a,n){var h,o,u,M=n[0],e=n[1],s=n[2],i=Math.hypot(M,e,s);return i<r.EPSILON?null:(M*=i=1/i,e*=i,s*=i,h=Math.sin(a),u=1-(o=Math.cos(a)),t[0]=M*M*u+o,t[1]=e*M*u+s*h,t[2]=s*M*u-e*h,t[3]=0,t[4]=M*e*u-s*h,t[5]=e*e*u+o,t[6]=s*e*u+M*h,t[7]=0,t[8]=M*s*u+e*h,t[9]=e*s*u-M*h,t[10]=s*s*u+o,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},n.fromXRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=r,t[6]=n,t[7]=0,t[8]=0,t[9]=-n,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromYRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=0,t[2]=-n,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=n,t[9]=0,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromZRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=0,t[4]=-n,t[5]=r,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotationTranslation=u,n.fromQuat2=function(t,a){var n=new r.ARRAY_TYPE(3),h=-a[0],o=-a[1],M=-a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7],b=h*h+o*o+M*M+e*e;return b>0?(n[0]=2*(s*e+f*h+i*M-c*o)/b,n[1]=2*(i*e+f*o+c*h-s*M)/b,n[2]=2*(c*e+f*M+s*o-i*h)/b):(n[0]=2*(s*e+f*h+i*M-c*o),n[1]=2*(i*e+f*o+c*h-s*M),n[2]=2*(c*e+f*M+s*o-i*h)),u(t,a,n),t},n.getTranslation=function(t,a){return t[0]=a[12],t[1]=a[13],t[2]=a[14],t},n.getScaling=M,n.getRotation=function(t,a){var n=new r.ARRAY_TYPE(3);M(n,a);var h=1/n[0],o=1/n[1],u=1/n[2],e=a[0]*h,s=a[1]*o,i=a[2]*u,c=a[4]*h,f=a[5]*o,b=a[6]*u,l=a[8]*h,v=a[9]*o,m=a[10]*u,P=e+f+m,E=0;return P>0?(E=2*Math.sqrt(P+1),t[3]=.25*E,t[0]=(b-v)/E,t[1]=(l-i)/E,t[2]=(s-c)/E):e>f&&e>m?(E=2*Math.sqrt(1+e-f-m),t[3]=(b-v)/E,t[0]=.25*E,t[1]=(s+c)/E,t[2]=(l+i)/E):f>m?(E=2*Math.sqrt(1+f-e-m),t[3]=(l-i)/E,t[0]=(s+c)/E,t[1]=.25*E,t[2]=(b+v)/E):(E=2*Math.sqrt(1+m-e-f),t[3]=(s-c)/E,t[0]=(l+i)/E,t[1]=(b+v)/E,t[2]=.25*E),t},n.fromRotationTranslationScale=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=a[3],e=h+h,s=o+o,i=u+u,c=h*e,f=h*s,b=h*i,l=o*s,v=o*i,m=u*i,P=M*e,E=M*s,S=M*i,I=r[0],O=r[1],p=r[2];return t[0]=(1-(l+m))*I,t[1]=(f+S)*I,t[2]=(b-E)*I,t[3]=0,t[4]=(f-S)*O,t[5]=(1-(c+m))*O,t[6]=(v+P)*O,t[7]=0,t[8]=(b+E)*p,t[9]=(v-P)*p,t[10]=(1-(c+l))*p,t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t},n.fromRotationTranslationScaleOrigin=function(t,a,n,r,h){var o=a[0],u=a[1],M=a[2],e=a[3],s=o+o,i=u+u,c=M+M,f=o*s,b=o*i,l=o*c,v=u*i,m=u*c,P=M*c,E=e*s,S=e*i,I=e*c,O=r[0],p=r[1],L=r[2],N=h[0],R=h[1],x=h[2],y=(1-(v+P))*O,A=(b+I)*O,Y=(l-S)*O,d=(b-I)*p,g=(1-(f+P))*p,T=(m+E)*p,_=(l+S)*L,q=(m-E)*L,w=(1-(f+v))*L;return t[0]=y,t[1]=A,t[2]=Y,t[3]=0,t[4]=d,t[5]=g,t[6]=T,t[7]=0,t[8]=_,t[9]=q,t[10]=w,t[11]=0,t[12]=n[0]+N-(y*N+d*R+_*x),t[13]=n[1]+R-(A*N+g*R+q*x),t[14]=n[2]+x-(Y*N+T*R+w*x),t[15]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=n+n,M=r+r,e=h+h,s=n*u,i=r*u,c=r*M,f=h*u,b=h*M,l=h*e,v=o*u,m=o*M,P=o*e;return t[0]=1-c-l,t[1]=i+P,t[2]=f-m,t[3]=0,t[4]=i-P,t[5]=1-s-l,t[6]=b+v,t[7]=0,t[8]=f+m,t[9]=b-v,t[10]=1-s-c,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.frustum=function(t,a,n,r,h,o,u){var M=1/(n-a),e=1/(h-r),s=1/(o-u);return t[0]=2*o*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*o*e,t[6]=0,t[7]=0,t[8]=(n+a)*M,t[9]=(h+r)*e,t[10]=(u+o)*s,t[11]=-1,t[12]=0,t[13]=0,t[14]=u*o*2*s,t[15]=0,t},n.perspective=function(t,a,n,r,h){var o,u=1/Math.tan(a/2);return t[0]=u/n,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=h&&h!==1/0?(o=1/(r-h),t[10]=(h+r)*o,t[14]=2*h*r*o):(t[10]=-1,t[14]=-2*r),t},n.perspectiveFromFieldOfView=function(t,a,n,r){var h=Math.tan(a.upDegrees*Math.PI/180),o=Math.tan(a.downDegrees*Math.PI/180),u=Math.tan(a.leftDegrees*Math.PI/180),M=Math.tan(a.rightDegrees*Math.PI/180),e=2/(u+M),s=2/(h+o);return t[0]=e,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=s,t[6]=0,t[7]=0,t[8]=-(u-M)*e*.5,t[9]=(h-o)*s*.5,t[10]=r/(n-r),t[11]=-1,t[12]=0,t[13]=0,t[14]=r*n/(n-r),t[15]=0,t},n.ortho=function(t,a,n,r,h,o,u){var M=1/(a-n),e=1/(r-h),s=1/(o-u);return t[0]=-2*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*e,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*s,t[11]=0,t[12]=(a+n)*M,t[13]=(h+r)*e,t[14]=(u+o)*s,t[15]=1,t},n.lookAt=function(t,a,n,o){var u,M,e,s,i,c,f,b,l,v,m=a[0],P=a[1],E=a[2],S=o[0],I=o[1],O=o[2],p=n[0],L=n[1],N=n[2];return Math.abs(m-p)<r.EPSILON&&Math.abs(P-L)<r.EPSILON&&Math.abs(E-N)<r.EPSILON?h(t):(f=m-p,b=P-L,l=E-N,u=I*(l*=v=1/Math.hypot(f,b,l))-O*(b*=v),M=O*(f*=v)-S*l,e=S*b-I*f,(v=Math.hypot(u,M,e))?(u*=v=1/v,M*=v,e*=v):(u=0,M=0,e=0),s=b*e-l*M,i=l*u-f*e,c=f*M-b*u,(v=Math.hypot(s,i,c))?(s*=v=1/v,i*=v,c*=v):(s=0,i=0,c=0),t[0]=u,t[1]=s,t[2]=f,t[3]=0,t[4]=M,t[5]=i,t[6]=b,t[7]=0,t[8]=e,t[9]=c,t[10]=l,t[11]=0,t[12]=-(u*m+M*P+e*E),t[13]=-(s*m+i*P+c*E),t[14]=-(f*m+b*P+l*E),t[15]=1,t)},n.targetTo=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=r[0],e=r[1],s=r[2],i=h-n[0],c=o-n[1],f=u-n[2],b=i*i+c*c+f*f;b>0&&(i*=b=1/Math.sqrt(b),c*=b,f*=b);var l=e*f-s*c,v=s*i-M*f,m=M*c-e*i;return(b=l*l+v*v+m*m)>0&&(l*=b=1/Math.sqrt(b),v*=b,m*=b),t[0]=l,t[1]=v,t[2]=m,t[3]=0,t[4]=c*m-f*v,t[5]=f*l-i*m,t[6]=i*v-c*l,t[7]=0,t[8]=i,t[9]=c,t[10]=f,t[11]=0,t[12]=h,t[13]=o,t[14]=u,t[15]=1,t},n.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8],t[9],t[10],t[11],t[12],t[13],t[14],t[15])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t[9]=a[9]+n[9],t[10]=a[10]+n[10],t[11]=a[11]+n[11],t[12]=a[12]+n[12],t[13]=a[13]+n[13],t[14]=a[14]+n[14],t[15]=a[15]+n[15],t},n.subtract=e,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t[9]=a[9]*n,t[10]=a[10]*n,t[11]=a[11]*n,t[12]=a[12]*n,t[13]=a[13]*n,t[14]=a[14]*n,t[15]=a[15]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t[9]=a[9]+n[9]*r,t[10]=a[10]+n[10]*r,t[11]=a[11]+n[11]*r,t[12]=a[12]+n[12]*r,t[13]=a[13]+n[13]*r,t[14]=a[14]+n[14]*r,t[15]=a[15]+n[15]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]&&t[9]===a[9]&&t[10]===a[10]&&t[11]===a[11]&&t[12]===a[12]&&t[13]===a[13]&&t[14]===a[14]&&t[15]===a[15]},n.equals=function(t,a){var n=t[0],h=t[1],o=t[2],u=t[3],M=t[4],e=t[5],s=t[6],i=t[7],c=t[8],f=t[9],b=t[10],l=t[11],v=t[12],m=t[13],P=t[14],E=t[15],S=a[0],I=a[1],O=a[2],p=a[3],L=a[4],N=a[5],R=a[6],x=a[7],y=a[8],A=a[9],Y=a[10],d=a[11],g=a[12],T=a[13],_=a[14],q=a[15];return 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+       "      \"eb06fc032a\": function _(t,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});const n=t(\"tslib\"),e=n.__importStar(t(\"68ca94c15c\")),o=n.__importStar(t(\"0285c50a7e\")),s=n.__importStar(t(\"2c5eb22089\")),u=n.__importStar(t(\"c1aa33d719\"));function c(){var t=new e.ARRAY_TYPE(4);return e.ARRAY_TYPE!=Float32Array&&(t[0]=0,t[1]=0,t[2]=0),t[3]=1,t}function i(t,r,a){a*=.5;var n=Math.sin(a);return t[0]=n*r[0],t[1]=n*r[1],t[2]=n*r[2],t[3]=Math.cos(a),t}function h(t,r,a){var n=r[0],e=r[1],o=r[2],s=r[3],u=a[0],c=a[1],i=a[2],h=a[3];return t[0]=n*h+s*u+e*i-o*c,t[1]=e*h+s*c+o*u-n*i,t[2]=o*h+s*i+n*c-e*u,t[3]=s*h-n*u-e*c-o*i,t}function M(t,r){var a=r[0],n=r[1],e=r[2],o=r[3],s=Math.sqrt(a*a+n*n+e*e),u=Math.exp(o),c=s>0?u*Math.sin(s)/s:0;return t[0]=a*c,t[1]=n*c,t[2]=e*c,t[3]=u*Math.cos(s),t}function l(t,r){var a=r[0],n=r[1],e=r[2],o=r[3],s=Math.sqrt(a*a+n*n+e*e),u=s>0?Math.atan2(s,o)/s:0;return t[0]=a*u,t[1]=n*u,t[2]=e*u,t[3]=.5*Math.log(a*a+n*n+e*e+o*o),t}function f(t,r,a,n){var o,s,u,c,i,h=r[0],M=r[1],l=r[2],f=r[3],v=a[0],m=a[1],q=a[2],d=a[3];return(s=h*v+M*m+l*q+f*d)<0&&(s=-s,v=-v,m=-m,q=-q,d=-d),1-s>e.EPSILON?(o=Math.acos(s),u=Math.sin(o),c=Math.sin((1-n)*o)/u,i=Math.sin(n*o)/u):(c=1-n,i=n),t[0]=c*h+i*v,t[1]=c*M+i*m,t[2]=c*l+i*q,t[3]=c*f+i*d,t}function v(t,r){var a,n=r[0]+r[4]+r[8];if(n>0)a=Math.sqrt(n+1),t[3]=.5*a,a=.5/a,t[0]=(r[5]-r[7])*a,t[1]=(r[6]-r[2])*a,t[2]=(r[1]-r[3])*a;else{var e=0;r[4]>r[0]&&(e=1),r[8]>r[3*e+e]&&(e=2);var o=(e+1)%3,s=(e+2)%3;a=Math.sqrt(r[3*e+e]-r[3*o+o]-r[3*s+s]+1),t[e]=.5*a,a=.5/a,t[3]=(r[3*o+s]-r[3*s+o])*a,t[o]=(r[3*o+e]+r[3*e+o])*a,t[s]=(r[3*s+e]+r[3*e+s])*a}return t}var m,q,d,p,A,g;a.create=c,a.identity=function(t){return t[0]=0,t[1]=0,t[2]=0,t[3]=1,t},a.setAxisAngle=i,a.getAxisAngle=function(t,r){var a=2*Math.acos(r[3]),n=Math.sin(a/2);return n>e.EPSILON?(t[0]=r[0]/n,t[1]=r[1]/n,t[2]=r[2]/n):(t[0]=1,t[1]=0,t[2]=0),a},a.getAngle=function(t,r){var n=a.dot(t,r);return Math.acos(2*n*n-1)},a.multiply=h,a.rotateX=function(t,r,a){a*=.5;var n=r[0],e=r[1],o=r[2],s=r[3],u=Math.sin(a),c=Math.cos(a);return t[0]=n*c+s*u,t[1]=e*c+o*u,t[2]=o*c-e*u,t[3]=s*c-n*u,t},a.rotateY=function(t,r,a){a*=.5;var n=r[0],e=r[1],o=r[2],s=r[3],u=Math.sin(a),c=Math.cos(a);return t[0]=n*c-o*u,t[1]=e*c+s*u,t[2]=o*c+n*u,t[3]=s*c-e*u,t},a.rotateZ=function(t,r,a){a*=.5;var n=r[0],e=r[1],o=r[2],s=r[3],u=Math.sin(a),c=Math.cos(a);return t[0]=n*c+e*u,t[1]=e*c-n*u,t[2]=o*c+s*u,t[3]=s*c-o*u,t},a.calculateW=function(t,r){var a=r[0],n=r[1],e=r[2];return t[0]=a,t[1]=n,t[2]=e,t[3]=Math.sqrt(Math.abs(1-a*a-n*n-e*e)),t},a.exp=M,a.ln=l,a.pow=function(t,r,n){return l(t,r),a.scale(t,t,n),M(t,t),t},a.slerp=f,a.random=function(t){var r=e.RANDOM(),a=e.RANDOM(),n=e.RANDOM(),o=Math.sqrt(1-r),s=Math.sqrt(r);return t[0]=o*Math.sin(2*Math.PI*a),t[1]=o*Math.cos(2*Math.PI*a),t[2]=s*Math.sin(2*Math.PI*n),t[3]=s*Math.cos(2*Math.PI*n),t},a.invert=function(t,r){var a=r[0],n=r[1],e=r[2],o=r[3],s=a*a+n*n+e*e+o*o,u=s?1/s:0;return t[0]=-a*u,t[1]=-n*u,t[2]=-e*u,t[3]=o*u,t},a.conjugate=function(t,r){return t[0]=-r[0],t[1]=-r[1],t[2]=-r[2],t[3]=r[3],t},a.fromMat3=v,a.fromEuler=function(t,r,a,n){var e=.5*Math.PI/180;r*=e,a*=e,n*=e;var o=Math.sin(r),s=Math.cos(r),u=Math.sin(a),c=Math.cos(a),i=Math.sin(n),h=Math.cos(n);return t[0]=o*c*h-s*u*i,t[1]=s*u*h+o*c*i,t[2]=s*c*i-o*u*h,t[3]=s*c*h+o*u*i,t},a.str=function(t){return\"quat(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\")\"},a.clone=u.clone,a.fromValues=u.fromValues,a.copy=u.copy,a.set=u.set,a.add=u.add,a.mul=h,a.scale=u.scale,a.dot=u.dot,a.lerp=u.lerp,a.length=u.length,a.len=a.length,a.squaredLength=u.squaredLength,a.sqrLen=a.squaredLength,a.normalize=u.normalize,a.exactEquals=u.exactEquals,a.equals=u.equals,a.rotationTo=(m=s.create(),q=s.fromValues(1,0,0),d=s.fromValues(0,1,0),function(t,r,n){var e=s.dot(r,n);return e<-.999999?(s.cross(m,q,r),s.len(m)<1e-6&&s.cross(m,d,r),s.normalize(m,m),i(t,m,Math.PI),t):e>.999999?(t[0]=0,t[1]=0,t[2]=0,t[3]=1,t):(s.cross(m,r,n),t[0]=m[0],t[1]=m[1],t[2]=m[2],t[3]=1+e,a.normalize(t,t))}),a.sqlerp=(p=c(),A=c(),function(t,r,a,n,e,o){return f(p,r,e,o),f(A,a,n,o),f(t,p,A,2*o*(1-o)),t}),a.setAxes=(g=o.create(),function(t,r,n,e){return g[0]=n[0],g[3]=n[1],g[6]=n[2],g[1]=e[0],g[4]=e[1],g[7]=e[2],g[2]=-r[0],g[5]=-r[1],g[8]=-r[2],a.normalize(t,v(t,g))})},\n",
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u[0]=n[0]-r[0],u[1]=n[1]-r[1],u[2]=n[2]-r[2],e[0]=u[0],e[1]=u[1]*Math.cos(a)-u[2]*Math.sin(a),e[2]=u[1]*Math.sin(a)+u[2]*Math.cos(a),t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},r.rotateY=function(t,n,r,a){var u=[],e=[];return u[0]=n[0]-r[0],u[1]=n[1]-r[1],u[2]=n[2]-r[2],e[0]=u[2]*Math.sin(a)+u[0]*Math.cos(a),e[1]=u[1],e[2]=u[2]*Math.cos(a)-u[0]*Math.sin(a),t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},r.rotateZ=function(t,n,r,a){var u=[],e=[];return u[0]=n[0]-r[0],u[1]=n[1]-r[1],u[2]=n[2]-r[2],e[0]=u[0]*Math.cos(a)-u[1]*Math.sin(a),e[1]=u[0]*Math.sin(a)+u[1]*Math.cos(a),e[2]=u[2],t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},r.angle=function(t,n){var r=t[0],a=t[1],u=t[2],e=n[0],o=n[1],i=n[2],c=Math.sqrt(r*r+a*a+u*u)*Math.sqrt(e*e+o*o+i*i),h=c&&f(t,n)/c;return Math.acos(Math.min(Math.max(h,-1),1))},r.zero=function(t){return t[0]=0,t[1]=0,t[2]=0,t},r.str=function(t){return\"vec3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\")\"},r.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]},r.equals=function(t,n){var r=t[0],u=t[1],e=t[2],o=n[0],i=n[1],c=n[2];return Math.abs(r-o)<=a.EPSILON*Math.max(1,Math.abs(r),Math.abs(o))&&Math.abs(u-i)<=a.EPSILON*Math.max(1,Math.abs(u),Math.abs(i))&&Math.abs(e-c)<=a.EPSILON*Math.max(1,Math.abs(e),Math.abs(c))},r.sub=o,r.mul=i,r.div=c,r.dist=h,r.sqrDist=M,r.len=e,r.sqrLen=s,r.forEach=(l=u(),function(t,n,r,a,u,e){var o,i;for(n||(n=3),r||(r=0),i=a?Math.min(a*n+r,t.length):t.length,o=r;o<i;o+=n)l[0]=t[o],l[1]=t[o+1],l[2]=t[o+2],u(l,l,e),t[o]=l[0],t[o+1]=l[1],t[o+2]=l[2];return t})},\n",
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u.rotateX(t,a,n),r=t[0],e=t[1],o=t[2],i=t[3],t[4]=M*i+v*r+l*o-b*e,t[5]=l*i+v*e+b*r-M*o,t[6]=b*i+v*o+M*e-l*r,t[7]=v*i-M*r-l*e-b*o,t},n.rotateY=function(t,a,n){var r=-a[0],e=-a[1],o=-a[2],i=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*i+f*r+c*o-h*e,l=c*i+f*e+h*r-s*o,b=h*i+f*o+s*e-c*r,v=f*i-s*r-c*e-h*o;return u.rotateY(t,a,n),r=t[0],e=t[1],o=t[2],i=t[3],t[4]=M*i+v*r+l*o-b*e,t[5]=l*i+v*e+b*r-M*o,t[6]=b*i+v*o+M*e-l*r,t[7]=v*i-M*r-l*e-b*o,t},n.rotateZ=function(t,a,n){var r=-a[0],e=-a[1],o=-a[2],i=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*i+f*r+c*o-h*e,l=c*i+f*e+h*r-s*o,b=h*i+f*o+s*e-c*r,v=f*i-s*r-c*e-h*o;return u.rotateZ(t,a,n),r=t[0],e=t[1],o=t[2],i=t[3],t[4]=M*i+v*r+l*o-b*e,t[5]=l*i+v*e+b*r-M*o,t[6]=b*i+v*o+M*e-l*r,t[7]=v*i-M*r-l*e-b*o,t},n.rotateByQuatAppend=function(t,a,n){var r=n[0],e=n[1],u=n[2],o=n[3],i=a[0],s=a[1],c=a[2],h=a[3];return t[0]=i*o+h*r+s*u-c*e,t[1]=s*o+h*e+c*r-i*u,t[2]=c*o+h*u+i*e-s*r,t[3]=h*o-i*r-s*e-c*u,i=a[4],s=a[5],c=a[6],h=a[7],t[4]=i*o+h*r+s*u-c*e,t[5]=s*o+h*e+c*r-i*u,t[6]=c*o+h*u+i*e-s*r,t[7]=h*o-i*r-s*e-c*u,t},n.rotateByQuatPrepend=function(t,a,n){var r=a[0],e=a[1],u=a[2],o=a[3],i=n[0],s=n[1],c=n[2],h=n[3];return t[0]=r*h+o*i+e*c-u*s,t[1]=e*h+o*s+u*i-r*c,t[2]=u*h+o*c+r*s-e*i,t[3]=o*h-r*i-e*s-u*c,i=n[4],s=n[5],c=n[6],h=n[7],t[4]=r*h+o*i+e*c-u*s,t[5]=e*h+o*s+u*i-r*c,t[6]=u*h+o*c+r*s-e*i,t[7]=o*h-r*i-e*s-u*c,t},n.rotateAroundAxis=function(t,a,n,r){if(Math.abs(r)<e.EPSILON)return s(t,a);var u=Math.hypot(n[0],n[1],n[2]);r*=.5;var o=Math.sin(r),i=o*n[0]/u,c=o*n[1]/u,h=o*n[2]/u,f=Math.cos(r),M=a[0],l=a[1],b=a[2],v=a[3];t[0]=M*f+v*i+l*h-b*c,t[1]=l*f+v*c+b*i-M*h,t[2]=b*f+v*h+M*c-l*i,t[3]=v*f-M*i-l*c-b*h;var m=a[4],R=a[5],P=a[6],d=a[7];return t[4]=m*f+d*i+R*h-P*c,t[5]=R*f+d*c+P*i-m*h,t[6]=P*f+d*h+m*c-R*i,t[7]=d*f-m*i-R*c-P*h,t},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t},n.multiply=c,n.mul=c,n.scale=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t},n.dot=u.dot,n.lerp=function(t,a,r,e){var u=1-e;return n.dot(a,r)<0&&(e=-e),t[0]=a[0]*u+r[0]*e,t[1]=a[1]*u+r[1]*e,t[2]=a[2]*u+r[2]*e,t[3]=a[3]*u+r[3]*e,t[4]=a[4]*u+r[4]*e,t[5]=a[5]*u+r[5]*e,t[6]=a[6]*u+r[6]*e,t[7]=a[7]*u+r[7]*e,t},n.invert=function(t,a){var r=n.squaredLength(a);return t[0]=-a[0]/r,t[1]=-a[1]/r,t[2]=-a[2]/r,t[3]=a[3]/r,t[4]=-a[4]/r,t[5]=-a[5]/r,t[6]=-a[6]/r,t[7]=a[7]/r,t},n.conjugate=function(t,a){return t[0]=-a[0],t[1]=-a[1],t[2]=-a[2],t[3]=a[3],t[4]=-a[4],t[5]=-a[5],t[6]=-a[6],t[7]=a[7],t},n.length=u.length,n.len=n.length,n.squaredLength=u.squaredLength,n.sqrLen=n.squaredLength,n.normalize=function(t,a){var r=n.squaredLength(a);if(r>0){r=Math.sqrt(r);var e=a[0]/r,u=a[1]/r,o=a[2]/r,i=a[3]/r,s=a[4],c=a[5],h=a[6],f=a[7],M=e*s+u*c+o*h+i*f;t[0]=e,t[1]=u,t[2]=o,t[3]=i,t[4]=(s-e*M)/r,t[5]=(c-u*M)/r,t[6]=(h-o*M)/r,t[7]=(f-i*M)/r}return t},n.str=function(t){return\"quat2(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\")\"},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]},n.equals=function(t,a){var n=t[0],r=t[1],u=t[2],o=t[3],i=t[4],s=t[5],c=t[6],h=t[7],f=a[0],M=a[1],l=a[2],b=a[3],v=a[4],m=a[5],R=a[6],P=a[7];return 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+       "      \"c56d9ff837\": function _(n,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=n(\"tslib\").__importStar(n(\"68ca94c15c\"));function u(){var n=new a.ARRAY_TYPE(2);return a.ARRAY_TYPE!=Float32Array&&(n[0]=0,n[1]=0),n}function e(n,t,r){return n[0]=t[0]-r[0],n[1]=t[1]-r[1],n}function o(n,t,r){return n[0]=t[0]*r[0],n[1]=t[1]*r[1],n}function c(n,t,r){return n[0]=t[0]/r[0],n[1]=t[1]/r[1],n}function i(n,t){var r=t[0]-n[0],a=t[1]-n[1];return Math.hypot(r,a)}function f(n,t){var r=t[0]-n[0],a=t[1]-n[1];return r*r+a*a}function s(n){var t=n[0],r=n[1];return Math.hypot(t,r)}function h(n){var t=n[0],r=n[1];return t*t+r*r}var M;r.create=u,r.clone=function(n){var t=new a.ARRAY_TYPE(2);return t[0]=n[0],t[1]=n[1],t},r.fromValues=function(n,t){var r=new a.ARRAY_TYPE(2);return r[0]=n,r[1]=t,r},r.copy=function(n,t){return n[0]=t[0],n[1]=t[1],n},r.set=function(n,t,r){return n[0]=t,n[1]=r,n},r.add=function(n,t,r){return n[0]=t[0]+r[0],n[1]=t[1]+r[1],n},r.subtract=e,r.multiply=o,r.divide=c,r.ceil=function(n,t){return n[0]=Math.ceil(t[0]),n[1]=Math.ceil(t[1]),n},r.floor=function(n,t){return n[0]=Math.floor(t[0]),n[1]=Math.floor(t[1]),n},r.min=function(n,t,r){return n[0]=Math.min(t[0],r[0]),n[1]=Math.min(t[1],r[1]),n},r.max=function(n,t,r){return n[0]=Math.max(t[0],r[0]),n[1]=Math.max(t[1],r[1]),n},r.round=function(n,t){return n[0]=Math.round(t[0]),n[1]=Math.round(t[1]),n},r.scale=function(n,t,r){return n[0]=t[0]*r,n[1]=t[1]*r,n},r.scaleAndAdd=function(n,t,r,a){return n[0]=t[0]+r[0]*a,n[1]=t[1]+r[1]*a,n},r.distance=i,r.squaredDistance=f,r.length=s,r.squaredLength=h,r.negate=function(n,t){return n[0]=-t[0],n[1]=-t[1],n},r.inverse=function(n,t){return n[0]=1/t[0],n[1]=1/t[1],n},r.normalize=function(n,t){var r=t[0],a=t[1],u=r*r+a*a;return u>0&&(u=1/Math.sqrt(u)),n[0]=t[0]*u,n[1]=t[1]*u,n},r.dot=function(n,t){return n[0]*t[0]+n[1]*t[1]},r.cross=function(n,t,r){var a=t[0]*r[1]-t[1]*r[0];return n[0]=n[1]=0,n[2]=a,n},r.lerp=function(n,t,r,a){var u=t[0],e=t[1];return n[0]=u+a*(r[0]-u),n[1]=e+a*(r[1]-e),n},r.random=function(n,t){t=t||1;var r=2*a.RANDOM()*Math.PI;return n[0]=Math.cos(r)*t,n[1]=Math.sin(r)*t,n},r.transformMat2=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u,n[1]=r[1]*a+r[3]*u,n},r.transformMat2d=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u+r[4],n[1]=r[1]*a+r[3]*u+r[5],n},r.transformMat3=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[3]*u+r[6],n[1]=r[1]*a+r[4]*u+r[7],n},r.transformMat4=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[4]*u+r[12],n[1]=r[1]*a+r[5]*u+r[13],n},r.rotate=function(n,t,r,a){var u=t[0]-r[0],e=t[1]-r[1],o=Math.sin(a),c=Math.cos(a);return n[0]=u*c-e*o+r[0],n[1]=u*o+e*c+r[1],n},r.angle=function(n,t){var r=n[0],a=n[1],u=t[0],e=t[1],o=Math.sqrt(r*r+a*a)*Math.sqrt(u*u+e*e),c=o&&(r*u+a*e)/o;return Math.acos(Math.min(Math.max(c,-1),1))},r.zero=function(n){return n[0]=0,n[1]=0,n},r.str=function(n){return\"vec2(\"+n[0]+\", \"+n[1]+\")\"},r.exactEquals=function(n,t){return n[0]===t[0]&&n[1]===t[1]},r.equals=function(n,t){var r=n[0],u=n[1],e=t[0],o=t[1];return Math.abs(r-e)<=a.EPSILON*Math.max(1,Math.abs(r),Math.abs(e))&&Math.abs(u-o)<=a.EPSILON*Math.max(1,Math.abs(u),Math.abs(o))},r.len=s,r.sub=e,r.mul=o,r.div=c,r.dist=i,r.sqrDist=f,r.sqrLen=h,r.forEach=(M=u(),function(n,t,r,a,u,e){var o,c;for(t||(t=2),r||(r=0),c=a?Math.min(a*t+r,n.length):n.length,o=r;o<c;o+=t)M[0]=n[o],M[1]=n[o+1],u(M,M,e),n[o]=M[0],n[o+1]=M[1];return n})},\n",
+       "      }, \"4e90918c0a\", {\"index\":\"4e90918c0a\",\"models/index\":\"22ae8fda70\",\"models/ace\":\"3343056bd8\",\"models/layout\":\"7116a7a602\",\"models/audio\":\"66d52165db\",\"models/comm_manager\":\"71a9759436\",\"models/deckgl\":\"d0d2aafca0\",\"models/tooltips\":\"064eac2866\",\"models/html\":\"ed08037ce5\",\"models/json\":\"284504a0cf\",\"models/file_download\":\"61c9ac7aac\",\"models/katex\":\"7b859fb3cf\",\"models/mathjax\":\"0c21036737\",\"models/player\":\"79c41bbf71\",\"models/plotly\":\"56da045fbd\",\"models/util\":\"990b5dd5c7\",\"models/progress\":\"76307e5afa\",\"models/state\":\"38b2bc9574\",\"models/vega\":\"294adeb985\",\"models/video\":\"b0c3e9e9c2\",\"models/videostream\":\"3c7145a2fa\",\"models/vtk/index\":\"ecfbb965eb\",\"models/vtk/vtk\":\"5b5e56e89a\",\"models/vtk/vtk_layout\":\"c704c63c0a\",\"models/vtk/vtk_utils\":\"aaf560d219\",\"models/vtk/vtkvolume\":\"729dd26c71\",\"models/vtk/vtkaxes\":\"e23461e5d7\"}, {});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END panel.min.js */\n",
+       "    },\n",
+       "    function(Bokeh) {} // ensure no trailing comma for IE\n",
+       "  ];\n",
+       "\n",
+       "  function run_inline_js() {\n",
+       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
+       "      for (var i = 0; i < inline_js.length; i++) {\n",
+       "        inline_js[i].call(root, root.Bokeh);\n",
+       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
+       "      setTimeout(run_inline_js, 100);\n",
+       "    } else if (!root._bokeh_failed_load) {\n",
+       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
+       "      root._bokeh_failed_load = true;\n",
+       "    }\n",
+       "  }\n",
+       "\n",
+       "  if (root._bokeh_is_loading === 0) {\n",
+       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
+       "    run_inline_js();\n",
+       "  } else {\n",
+       "    load_libs(css_urls, js_urls, function() {\n",
+       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+       "      run_inline_js();\n",
+       "    });\n",
+       "  }\n",
+       "}(window));"
+      ],
+      "application/vnd.holoviews_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    if (window.requirejs) {\n      window.requirejs.config({'paths': {'plotly': 'https://cdn.plot.ly/plotly-latest.min'}});\n      require([], function() {\n        run_callbacks();\n      })\n    } else {\n      var skip = [];\n      if ((window['Plotly'] !== undefined) && (!(window['Plotly'] instanceof HTMLElement))) {\n        var urls = ['https://cdn.plot.ly/plotly-latest.min.js'];\n        for (var i = 0; i < urls.length; i++) {\n          skip.push(urls[i])\n        }\n      }\n      for (var i = 0; i < js_urls.length; i++) {\n        var url = js_urls[i];\n        if (skip.indexOf(url) >= 0) { on_load(); continue; }\n        var element = document.createElement('script');\n        element.onload = on_load;\n        element.onerror = on_error;\n        element.async = false;\n        element.src = url;\n        console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n        document.head.appendChild(element);\n      }\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://code.jquery.com/jquery-3.4.1.min.js\", \"https://cdn.plot.ly/plotly-latest.min.js\"];\n  var css_urls = [];\n\n  var inline_js = [\n    function(Bokeh) {\n      inject_raw_css(\"table.panel-df {\\n    margin-left: auto;\\n    margin-right: auto;\\n    border: none;\\n    border-collapse: collapse;\\n    border-spacing: 0;\\n    color: black;\\n    font-size: 12px;\\n    table-layout: fixed;\\n    width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n    text-align: right;\\n    vertical-align: middle;\\n    padding: 0.5em 0.5em !important;\\n    line-height: normal;\\n    white-space: normal;\\n    max-width: none;\\n    border: none;\\n}\\n\\n.panel-df tbody {\\n    display: table-row-group;\\n    vertical-align: middle;\\n    border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n    background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n    border-bottom: 1px solid black;\\n    vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n    background: lightblue !important;\\n    cursor: pointer;\\n}\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n  color: black;\\n  text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n  color: green;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n  color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n  color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n  color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n  color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n  background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: blue;\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n  color: #00008B;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n  color: white;\\n  text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n  color: #31F031;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n  color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n  color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n  color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n  color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n  color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n  background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: #027BFF;\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n  color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n  color: #23A0DB;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite  { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".panel-widget-box {\\n\\tmin-height: 20px;\\n\\tbackground-color: #f5f5f5;\\n\\tborder: 1px solid #e3e3e3 !important;\\n\\tborder-radius: 4px;\\n\\t-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\tbox-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\toverflow-x: hidden;\\n\\toverflow-y: hidden;\\n}\\n\\n.scrollable {\\n  overflow: scroll;\\n}\\n\\nprogress {\\n\\tappearance: none;\\n\\t-moz-appearance: none;\\n\\t-webkit-appearance: none;\\n\\n\\tborder: none;\\n\\theight: 20px;\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n\\tcolor: royalblue;\\n\\tposition: relative;\\n\\tmargin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n\\tposition: relative;\\n\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n\\tborder-radius:3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n\\tcontent:\\\" \\\";\\n\\tposition:absolute;\\n\\theight: 20px;\\n\\ttop:0;\\n\\tleft:0;\\n\\tright:0;\\n\\tbottom:0;\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n  from {background-position: 0%}\\n  to {background-position: 100%}\\n}\\n\");\n    },\n    function(Bokeh) {\n      /* BEGIN bokeh.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        const bokeh = factory();\n        if (root.Bokeh === undefined) {\n          root.Bokeh = bokeh;\n        }\n        const Bokeh = root.Bokeh;\n        Bokeh[bokeh.version] = bokeh;\n      })(this, function() {\n        var define;\n        var parent_require = typeof require === \"function\" && require\n        return (function(modules, entry, aliases, externals) {\n          if (aliases === undefined) aliases = {};\n          if (externals === undefined) externals = {};\n\n          var cache = {};\n\n          var normalize = function(name) {\n            if (typeof name === \"number\")\n              return name;\n\n            if (name === \"bokehjs\")\n              return entry;\n\n            var prefix = \"@bokehjs/\"\n            if (name.slice(0, prefix.length) === prefix)\n              name = name.slice(prefix.length)\n\n            var alias = aliases[name]\n            if (alias != null)\n              return alias;\n\n            var trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n            var index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n            if (index != null)\n              return index;\n\n            return name;\n          }\n\n          var require = function(name) {\n            var mod = cache[name];\n            if (!mod) {\n              var id = normalize(name);\n\n              mod = cache[id];\n              if (!mod) {\n                if (!modules[id]) {\n                  if (externals[id] === false || (externals[id] == true && parent_require)) {\n                    try {\n                      mod = {exports: externals[id] ? parent_require(id) : {}};\n                      cache[id] = cache[name] = mod;\n                      return mod.exports;\n                    } catch (e) {}\n                  }\n\n                  var err = new Error(\"Cannot find module '\" + name + \"'\");\n                  err.code = 'MODULE_NOT_FOUND';\n                  throw err;\n                }\n\n                mod = {exports: {}};\n                cache[id] = cache[name] = mod;\n                modules[id].call(mod.exports, require, mod, mod.exports);\n              } else\n                cache[name] = mod;\n            }\n\n            return mod.exports;\n          }\n\n          var main = require(entry);\n          main.require = require;\n\n          if (typeof Proxy !== \"undefined\") {\n            // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n            main.loader = new Proxy({}, {\n              get: function(_obj, module) {\n                return require(module);\n              }\n            });\n          }\n\n          main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n            if (plugin_aliases === undefined) plugin_aliases = {};\n            if (plugin_externals === undefined) plugin_externals = {};\n\n            for (var name in plugin_modules) {\n              modules[name] = plugin_modules[name];\n            }\n\n            for (var name in plugin_aliases) {\n              aliases[name] = plugin_aliases[name];\n            }\n\n            for (var name in plugin_externals) {\n              externals[name] = plugin_externals[name];\n            }\n\n            var plugin = require(plugin_entry);\n\n            for (var name in plugin) {\n              main[name] = plugin[name];\n            }\n\n            return plugin;\n          }\n\n          return main;\n        })\n      ([\n      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0}),e(1).__exportStar(e(2),_)},\n      function _(t,e,n){\n      /*! *****************************************************************************\n          Copyright (c) Microsoft Corporation. All rights reserved.\n          Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n          this file except in compliance with the License. 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models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=f.union(e,t.references());const t=new Set(this._all_models.values()),s=f.difference(t,e),o=f.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(i.logger.debug(\"Adding root: \"+e),!d.includes(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new v.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof w.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof v.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new 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e=[];for(const[t,s]of r)e.push([t,s,t.get_value()]);for(const[,t,s]of e)if(this._needs_invalidate(t,s)){n._invalidate_all_models();break}!0!==t.silent&&this._push_changes(e,t)}}getv(e){return this.property(e).get_value()}ref(){return{id:this.id}}struct(){const e={type:this.type,id:this.id,attributes:{}};return null!=this._subtype&&(e.subtype=this._subtype),e}set_subtype(e){this._subtype=e}*[Symbol.iterator](){for(const e in this.properties)yield this.properties[e]}*syncable_properties(){for(const e of this)e.syncable&&(yield e)}serializable_attributes(){const e={};for(const t of this.syncable_properties())e[t.attr]=t.get_value();return e}static _value_to_json(e){if(e instanceof y)return e.ref();if(p.is_NDArray(e))return d.encode_NDArray(e);if(h.isArray(e)||h.isTypedArray(e)){const t=e.length,s=new Array(t);for(let r=0;r<t;r++){const t=e[r];s[r]=y._value_to_json(t)}return s}if(h.isPlainObject(e)){const t={};for(const s in e)e.hasOwnProperty(s)&&(t[s]=y._value_to_json(e[s]));return t}return e}attributes_as_json(e=!0,t=y._value_to_json){const s={};for(const r of this)r.syncable&&(e||r.dirty)&&(s[r.attr]=t(r.get_value()));return s}static _json_record_references(e,t,s,r){const{recursive:n}=r;if(i.is_ref(t)){const r=e.get_model_by_id(t.id);null==r||s.has(r)||y._value_record_references(r,s,{recursive:n})}else if(h.isArray(t))for(const r of t)y._json_record_references(e,r,s,{recursive:n});else if(h.isPlainObject(t))for(const r in t)if(t.hasOwnProperty(r)){const i=t[r];y._json_record_references(e,i,s,{recursive:n})}}static _value_record_references(e,t,s){const{recursive:r}=s;if(e instanceof y){if(!t.has(e)&&(t.add(e),r)){const s=e._immediate_references();for(const e of s)y._value_record_references(e,t,{recursive:!0})}}else if(h.isArray(e))for(const s of e)y._value_record_references(s,t,{recursive:r});else if(h.isPlainObject(e))for(const s in e)if(e.hasOwnProperty(s)){const n=e[s];y._value_record_references(n,t,{recursive:r})}}_immediate_references(){const e=new Set;for(const t of this.syncable_properties()){const s=t.get_value();y._value_record_references(s,e,{recursive:!1})}return[...e.values()]}references(){const e=new Set;return y._value_record_references(this,e,{recursive:!0}),e}_doc_attached(){}_doc_detached(){}attach_document(e){if(null!=this.document&&this.document!=e)throw new Error(\"models must be owned by only a single document\");this.document=e,this._doc_attached()}detach_document(){this._doc_detached(),this.document=null}_needs_invalidate(e,t){const s=new Set;y._value_record_references(t,s,{recursive:!1});const r=new Set;y._value_record_references(e,r,{recursive:!1});for(const e of s)if(!r.has(e))return!0;for(const e of r)if(!s.has(e))return!0;return!1}_push_changes(e,t={}){const{document:s}=this;if(null==s)return;const{setter_id:r}=t,n=[];for(const[t,i,o]of e)t.syncable&&n.push(new l.ModelChangedEvent(s,this,t.attr,i,o,r));if(0!=n.length){let e;1==n.length?[e]=n:e=new l.DocumentEventBatch(s,n,r),s._trigger_on_change(e)}}materialize_dataspecs(e){const t={};for(const s of this){if(!(s instanceof o.VectorSpec))continue;if(s.optional&&null==s.spec.value&&!s.dirty)continue;const r=s.attr,n=s.array(e);t[\"_\"+r]=n,s instanceof o.DistanceSpec&&(t[\"max_\"+r]=_.max(n))}return t}on_change(e,t){for(const s of h.isArray(e)?e:[e])this.connect(s.change,t)}}s.HasProps=y,y.init_HasProps()},\n      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=n(15),l=n(9);class o{constructor(n,t){this.sender=n,this.name=t}connect(n,t=null){c.has(this.sender)||c.set(this.sender,[]);const e=c.get(this.sender);if(null!=u(e,this,n,t))return!1;const s=t||n;r.has(s)||r.set(s,[]);const l=r.get(s),o={signal:this,slot:n,context:t};return e.push(o),l.push(o),!0}disconnect(n,t=null){const e=c.get(this.sender);if(null==e||0===e.length)return!1;const s=u(e,this,n,t);if(null==s)return!1;const l=t||n,o=r.get(l);return s.signal=null,f(e),f(o),!0}emit(n){const 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_.isString(e)&&o.is_color(e)}}n.Color=v,v.__name__=\"Color\";class g extends p{}n.Instance=g,g.__name__=\"Instance\";class x extends p{valid(e){return _.isNumber(e)}}n.Number=x,x.__name__=\"Number\";class y extends x{valid(e){return _.isNumber(e)&&(0|e)==e}}n.Int=y,y.__name__=\"Int\";class f extends x{}n.Angle=f,f.__name__=\"Angle\";class P extends x{valid(e){return _.isNumber(e)&&0<=e&&e<=1}}n.Percent=P,P.__name__=\"Percent\";class A extends p{valid(e){return _.isString(e)}}n.String=A,A.__name__=\"String\";class L extends p{valid(e){return null===e||_.isString(e)}}n.NullString=L,L.__name__=\"NullString\";class T extends A{}n.FontSize=T,T.__name__=\"FontSize\";class b extends A{_default_override(){return c.settings.dev?\"Bokeh\":void 0}}n.Font=b,b.__name__=\"Font\";class M extends p{valid(e){return _.isString(e)&&r.includes(this.enum_values,e)}}function B(e){return class extends M{get enum_values(){return e}}}n.EnumProperty=M,M.__name__=\"EnumProperty\",n.Enum=B;class C extends M{get enum_values(){return s.Direction}normalize(e){const t=new Uint8Array(e.length);for(let n=0;n<e.length;n++)switch(e[n]){case\"clock\":t[n]=0;break;case\"anticlock\":t[n]=1}return 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N extends p{get_value(){return null===this.spec.value?null:this.spec}_update(e){d(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}}n.ScalarSpec=N,N.__name__=\"ScalarSpec\";class z extends N{}n.AnyScalar=z,z.__name__=\"AnyScalar\";class D extends N{}n.ColorScalar=D,D.__name__=\"ColorScalar\";class F extends N{}n.NumberScalar=F,F.__name__=\"NumberScalar\";class k extends N{}n.StringScalar=k,k.__name__=\"StringScalar\";class O extends N{}n.NullStringScalar=O,O.__name__=\"NullStringScalar\";class U extends N{}n.ArrayScalar=U,U.__name__=\"ArrayScalar\";class w extends N{}n.LineJoinScalar=w,w.__name__=\"LineJoinScalar\";class R extends N{}n.LineCapScalar=R,R.__name__=\"LineCapScalar\";class E extends N{}n.FontSizeScalar=E,E.__name__=\"FontSizeScalar\";class $ extends N{}n.FontStyleScalar=$,$.__name__=\"FontStyleScalar\";class H extends N{}n.TextAlignScalar=H,H.__name__=\"TextAlignScalar\";class j extends N{}n.TextBaselineScalar=j,j.__name__=\"TextBaselineScalar\";class I extends p{get_value(){return null===this.spec.value?null:this.spec}_update(e){d(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}array(e){let t;if(null!=this.spec.field){if(t=this.normalize(e.get_column(this.spec.field)),null==t)throw new Error(`attempted to retrieve property array for nonexistent field '${this.spec.field}'`)}else if(null!=this.spec.expr)t=this.normalize(this.spec.expr.v_compute(e));else{let n=e.get_length();null==n&&(n=1);const i=this.value(!1);t=r.repeat(i,n)}return null!=this.spec.transform&&(t=this.spec.transform.v_compute(t)),t}}n.VectorSpec=I,I.__name__=\"VectorSpec\";class J extends I{}n.DataSpec=J,J.__name__=\"DataSpec\";class V extends I{_update(e){super._update(e),null==this.spec.units&&(this.spec.units=this.default_units);const t=this.spec.units;if(!r.includes(this.valid_units,t))throw new Error(`units must be one of ${this.valid_units.join(\", \")}; 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i.color2css(this.line_color.value(),this.line_alpha.value())}}a.Line=p,p.__name__=\"Line\",p.prototype.attrs=Object.keys(c.LineVector);class v extends u{set_value(e){e.fillStyle=this.fill_color.value(),e.globalAlpha=this.fill_alpha.value()}get doit(){return!(null===this.fill_color.spec.value||0==this.fill_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"fill_color\",t),e.fillStyle=this.cache.fill_color,this.cache_select(\"fill_alpha\",t),e.globalAlpha=this.cache.fill_alpha}color_value(){return i.color2css(this.fill_color.value(),this.fill_alpha.value())}}a.Fill=v,v.__name__=\"Fill\",v.prototype.attrs=Object.keys(c.FillVector);class f extends u{cache_select(e,t){let a;if(\"pattern\"==e){this.cache_select(\"hatch_color\",t),this.cache_select(\"hatch_scale\",t),this.cache_select(\"hatch_pattern\",t),this.cache_select(\"hatch_weight\",t);const{hatch_color:e,hatch_scale:a,hatch_pattern:s,hatch_weight:c,hatch_extra:l}=this.cache;if(null!=l&&l.hasOwnProperty(s)){const t=l[s];this.cache.pattern=t.get_pattern(e,a,c)}else this.cache.pattern=t=>{const l=_(s,e,a,c);return t.createPattern(l,\"repeat\")}}else a=super.cache_select(e,t);return a}_try_defer(e){const{hatch_pattern:t,hatch_extra:a}=this.cache;if(null!=a&&a.hasOwnProperty(t)){a[t].onload(e)}}get doit(){return!(null===this.hatch_color.spec.value||0==this.hatch_alpha.spec.value||\" \"==this.hatch_pattern.spec.value||\"blank\"==this.hatch_pattern.spec.value||null===this.hatch_pattern.spec.value)}doit2(e,t,a,s){if(!this.doit)return;this.cache_select(\"pattern\",t),null==this.cache.pattern(e)?this._try_defer(s):(this.set_vectorize(e,t),a())}_set_vectorize(e,t){this.cache_select(\"pattern\",t),e.fillStyle=this.cache.pattern(e),this.cache_select(\"hatch_alpha\",t),e.globalAlpha=this.cache.hatch_alpha}color_value(){return i.color2css(this.hatch_color.value(),this.hatch_alpha.value())}}a.Hatch=f,f.__name__=\"Hatch\",f.prototype.attrs=Object.keys(c.HatchVector);class d extends u{color_value(){return i.color2css(this.text_color.value(),this.text_alpha.value())}font_value(){const e=this.text_font.value(),t=this.text_font_size.value();return`${this.text_font_style.value()} ${t} ${e}`}v_font_value(e){super.cache_select(\"text_font_style\",e),super.cache_select(\"text_font_size\",e),super.cache_select(\"text_font\",e);const{text_font_style:t,text_font_size:a,text_font:s}=this.cache;return`${t} ${a} ${s}`}cache_select(e,t){let a;return\"font\"==e?this.cache.font=a=this.v_font_value(t):a=super.cache_select(e,t),a}set_value(e){e.font=this.font_value(),e.fillStyle=this.text_color.value(),e.globalAlpha=this.text_alpha.value(),e.textAlign=this.text_align.value(),e.textBaseline=this.text_baseline.value()}get doit(){return!(null===this.text_color.spec.value||0==this.text_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"font\",t),e.font=this.cache.font,this.cache_select(\"text_color\",t),e.fillStyle=this.cache.text_color,this.cache_select(\"text_alpha\",t),e.globalAlpha=this.cache.text_alpha,this.cache_select(\"text_align\",t),e.textAlign=this.cache.text_align,this.cache_select(\"text_baseline\",t),e.textBaseline=this.cache.text_baseline}}a.Text=d,d.__name__=\"Text\",d.prototype.attrs=Object.keys(c.TextVector);class k{constructor(e){for(const t of e._mixins){const[a,s=\"\"]=t.split(\":\");let c;switch(a){case\"line\":c=p;break;case\"fill\":c=v;break;case\"hatch\":c=f;break;case\"text\":c=d;break;default:throw new Error(\"unknown visual: \"+a)}this[s+a]=new c(e,s)}}warm_cache(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&a.warm_cache(e)}}set_all_indices(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&(a.all_indices=e)}}}a.Visuals=k,k.__name__=\"Visuals\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),c=e(13),i=n.__importStar(e(18)),a=e(8),r=e(17),o=e(72);class l extends c.HasProps{constructor(e){super(e)}static init_Model(){this.define({tags:[i.Array,[]],name:[i.String],js_property_callbacks:[i.Any,{}],js_event_callbacks:[i.Any,{}],subscribed_events:[i.Array,[]]})}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,()=>this._update_property_callbacks()),this.connect(this.properties.js_event_callbacks.change,()=>this._update_event_callbacks()),this.connect(this.properties.subscribed_events.change,()=>this._update_event_callbacks())}_process_event(e){for(const t of this.js_event_callbacks[e.event_name]||[])t.execute(e);null!=this.document&&this.subscribed_events.some(t=>t==e.event_name)&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):o.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of r.entries(this.js_property_callbacks)){const n=s.map(e=>()=>e.execute(this));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){r.isEmpty(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if(a.isString(e))return[...this.references()].filter(t=>t instanceof l&&t.name===e);if(e.prototype instanceof c.HasProps)return[...this.references()].filter(t=>t instanceof e);throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=l,l.__name__=\"Model\",l.init_Model()},\n      function _(e,l,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(8),t={};class s{constructor(e,l){this.name=e,this.level=l}}o.LogLevel=s,s.__name__=\"LogLevel\";class g{constructor(e,l=g.INFO){this._name=e,this.set_level(l)}static get levels(){return Object.keys(g.log_levels)}static get(e,l=g.INFO){if(e.length>0){let o=t[e];return null==o&&(t[e]=o=new g(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof s)this._log_level=e;else{if(!n.isString(e)||null==g.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=g.log_levels[e]}const l=`[${this._name}]`;for(const e in g.log_levels){g.log_levels[e].level<this._log_level.level||this._log_level.level===g.OFF.level?this[e]=function(){}:this[e]=r(e,l)}}trace(...e){}debug(...e){}info(...e){}warn(...e){}error(...e){}}function r(e,l){return null!=console[e]?console[e].bind(console,l):null!=console.log?console.log.bind(console,l):function(){}}function i(e){const l=o.logger.level;return n.isString(e)&&null==g.log_levels[e]?(console.log(`[bokeh] unrecognized logging level '${e}' passed to Bokeh.set_log_level(), ignoring`),console.log(\"[bokeh] valid log levels are: \"+g.levels.join(\", \"))):(console.log(`[bokeh] setting log level to: '${n.isString(e)?e:e.level}'`),o.logger.set_level(e)),l}o.Logger=g,g.__name__=\"Logger\",g.TRACE=new s(\"trace\",0),g.DEBUG=new s(\"debug\",1),g.INFO=new s(\"info\",2),g.WARN=new s(\"warn\",6),g.ERROR=new s(\"error\",7),g.FATAL=new s(\"fatal\",8),g.OFF=new s(\"off\",9),g.log_levels={trace:g.TRACE,debug:g.DEBUG,info:g.INFO,warn:g.WARN,error:g.ERROR,fatal:g.FATAL,off:g.OFF},o.logger=g.get(\"bokeh\"),o.set_log_level=i,o.with_log_level=function(e,l){const o=i(e);try{l()}finally{i(o)}}},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-shading {\\n  position: absolute;\\n  display: block;\\n  border: 1px dashed green;\\n}\\n\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),a=t(31),n=t(75),r=t(76),o=t(23),_=i.__importStar(t(18)),l=t(10);class h extends a.AnnotationView{initialize(){super.initialize(),null==this.model.source&&(this.model.source=new r.ColumnDataSource),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.set_data(this.model.source)),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source))}set_data(t){super.set_data(t),this.visuals.warm_cache(t),this.plot_view.request_render()}_map_data(){const{frame:t}=this.plot_view;let e,s,i,a;return\"data\"==this.model.start_units?(e=t.xscales[this.model.x_range_name].v_compute(this._x_start),s=t.yscales[this.model.y_range_name].v_compute(this._y_start)):(e=t.xview.v_compute(this._x_start),s=t.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(i=t.xscales[this.model.x_range_name].v_compute(this._x_end),a=t.yscales[this.model.y_range_name].v_compute(this._y_end)):(i=t.xview.v_compute(this._x_end),a=t.yview.v_compute(this._y_end)),[[e,s],[i,a]]}render(){if(!this.model.visible)return;const{ctx:t}=this.layer;t.save();const[e,s]=this._map_data();null!=this.model.end&&this._arrow_head(t,\"render\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"render\",this.model.start,s,e),t.beginPath();const{x:i,y:a,width:n,height:r}=this.plot_view.frame.bbox;t.rect(i,a,n,r),null!=this.model.end&&this._arrow_head(t,\"clip\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"clip\",this.model.start,s,e),t.closePath(),t.clip(),this._arrow_body(t,e,s),t.restore()}_arrow_head(t,e,s,i,a){for(let n=0,r=this._x_start.length;n<r;n++){const r=Math.PI/2+l.atan2([i[0][n],i[1][n]],[a[0][n],a[1][n]]);t.save(),t.translate(a[0][n],a[1][n]),t.rotate(r),\"render\"==e?s.render(t,n):\"clip\"==e&&s.clip(t,n),t.restore()}}_arrow_body(t,e,s){if(this.visuals.line.doit)for(let i=0,a=this._x_start.length;i<a;i++)this.visuals.line.set_vectorize(t,i),t.beginPath(),t.moveTo(e[0][i],e[1][i]),t.lineTo(s[0][i],s[1][i]),t.stroke()}}s.ArrowView=h,h.__name__=\"ArrowView\";class d extends a.Annotation{constructor(t){super(t)}static init_Arrow(){this.prototype.default_view=h,this.mixins(o.LineVector),this.define({x_start:[_.NumberSpec],y_start:[_.NumberSpec],start_units:[_.SpatialUnits,\"data\"],start:[_.Instance,null],x_end:[_.NumberSpec],y_end:[_.NumberSpec],end_units:[_.SpatialUnits,\"data\"],end:[_.Instance,()=>new n.OpenHead({})],source:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]})}}s.Arrow=d,d.__name__=\"Arrow\",d.init_Arrow()},\n      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),o=i(31),l=i(70),n=i(23),h=t.__importStar(i(18));class a extends o.Annotation{constructor(i){super(i)}static init_ArrowHead(){this.define({size:[h.Number,25]})}initialize(){super.initialize(),this.visuals=new l.Visuals(this)}}s.ArrowHead=a,a.__name__=\"ArrowHead\",a.init_ArrowHead();class r extends a{constructor(i){super(i)}static init_OpenHead(){this.mixins(n.LineVector)}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,0),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.stroke())}}s.OpenHead=r,r.__name__=\"OpenHead\",r.init_OpenHead();class z extends a{constructor(i){super(i)}static init_NormalHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._normal(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._normal(i,e),i.stroke())}_normal(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.closePath()}}s.NormalHead=z,z.__name__=\"NormalHead\",z.init_NormalHead();class _ extends a{constructor(i){super(i)}static init_VeeHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._vee(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._vee(i,e),i.stroke())}_vee(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.closePath()}}s.VeeHead=_,_.__name__=\"VeeHead\",_.init_VeeHead();class c extends a{constructor(i){super(i)}static init_TeeHead(){this.mixins(n.LineVector)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,0),i.lineTo(-.5*this.size,0),i.stroke())}clip(i,e){}}s.TeeHead=c,c.__name__=\"TeeHead\",c.init_TeeHead()},\n      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(77),r=s.__importStar(t(18)),i=t(8),l=t(17),a=s.__importStar(t(103)),c=t(104),u=t(105);function h(t,n,e){if(i.isArray(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if(i.isTypedArray(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let i;t.length<e?(i=new t.constructor(e),i.set(t,0)):i=t;for(let t=o,n=r;t<n;t++)i[t-o]=i[t];for(let t=0,e=n.length;t<e;t++)i[t+(r-o)]=n[t];return i}{const e=new t.constructor(n);return a.concat(t,e)}}throw new Error(\"unsupported array types\")}function d(t,n){let e,s,o;return i.isNumber(t)?(e=t,o=t+1,s=1):(e=null!=t.start?t.start:0,o=null!=t.stop?t.stop:n,s=null!=t.step?t.step:1),[e,o,s]}function m(t,n){const e=new Set;let s=!1;for(const[o,r]of n){let n,l,a,c;if(i.isArray(o)){const[s]=o;e.add(s),n=t[s].shape,l=t[s],c=r,2===o.length?(n=[1,n[0]],a=[o[0],0,o[1]]):a=o}else i.isNumber(o)?(c=[r],e.add(o)):(c=r,s=!0),a=[0,0,o],n=[1,t.length],l=t;let u=0;const[h,m,f]=d(a[1],n[0]),[_,p,g]=d(a[2],n[1]);for(let t=h;t<m;t+=f)for(let o=_;o<p;o+=g)s&&e.add(o),l[t*n[1]+o]=c[u],u++}return e}e.stream_to_column=h,e.slice=d,e.patch_to_column=m;class f extends o.ColumnarDataSource{constructor(t){super(t)}static init_ColumnDataSource(){this.define({data:[r.Any,{}]})}stream(t,n,e){const{data:s}=this;for(const e in t)s[e]=h(s[e],t[e],n);if(this.setv({data:s},{silent:!0}),this.streaming.emit(),null!=this.document){const s=new u.ColumnsStreamedEvent(this.document,this.ref(),t,n);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:s})}}patch(t,n){const{data:e}=this;let s=new Set;for(const[n,o]of l.entries(t))s=c.union(s,m(e[n],o));if(this.setv({data:e},{silent:!0}),this.patching.emit([...s]),null!=this.document){const e=new u.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:e})}}}e.ColumnDataSource=f,f.__name__=\"ColumnDataSource\",f.init_ColumnDataSource()},\n      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(78),i=t(14),r=t(72),c=t(80),l=a.__importStar(t(18)),o=t(8),u=t(9),h=t(17),g=t(79),_=t(102);class d extends s.DataSource{constructor(t){super(t)}get_array(t){let n=this.data[t];return null==n?this.data[t]=n=[]:o.isArray(n)||(this.data[t]=n=Array.from(n)),n}static init_ColumnarDataSource(){this.define({selection_policy:[l.Instance,()=>new _.UnionRenderers]}),this.internal({selection_manager:[l.Instance,t=>new c.SelectionManager({source:t})],inspected:[l.Instance,()=>new g.Selection]})}initialize(){super.initialize(),this._select=new i.Signal0(this,\"select\"),this.inspect=new i.Signal(this,\"inspect\"),this.streaming=new i.Signal0(this,\"streaming\"),this.patching=new i.Signal(this,\"patching\")}get_column(t){const n=this.data[t];return null!=n?n:null}columns(){return h.keys(this.data)}get_length(t=!0){const n=u.uniq(h.values(this.data).map(t=>t.length));switch(n.length){case 0:return null;case 1:return n[0];default:{const e=\"data source has columns of inconsistent lengths\";if(t)return r.logger.warn(e),n.sort()[0];throw new Error(e)}}}get_indices(){const t=this.get_length();return u.range(0,null!=t?t:1)}clear(){const t={};for(const n of this.columns())t[n]=new this.data[n].constructor(0);this.data=t}}e.ColumnarDataSource=d,d.__name__=\"ColumnarDataSource\",d.init_ColumnarDataSource()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const c=e(1),n=e(71),o=e(79),i=c.__importStar(e(18));class r extends n.Model{constructor(e){super(e)}static init_DataSource(){this.define({selected:[i.Instance,()=>new o.Selection]})}}a.DataSource=r,r.__name__=\"DataSource\",r.init_DataSource()},\n      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),l=t.__importStar(i(18)),c=i(9),_=i(17);class h extends n.Model{constructor(i){super(i)}static init_Selection(){this.define({indices:[l.Array,[]],line_indices:[l.Array,[]],multiline_indices:[l.Any,{}]}),this.internal({selected_glyphs:[l.Array,[]],get_view:[l.Any],image_indices:[l.Array,[]]})}initialize(){super.initialize(),this.get_view=()=>null}static from_hits(i){const e=c.sort_by(i,([,i])=>i).map(([i])=>i);return new h({indices:e})}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.get_view=i.get_view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.get_view=()=>null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=c.union(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=c.intersection(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=c.difference(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=h,h.__name__=\"Selection\",h.init_Selection()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(13),o=e(79),c=e(81),r=e(100),l=i.__importStar(e(18));class p extends n.HasProps{constructor(e){super(e),this.inspectors=new Map}static init_SelectionManager(){this.internal({source:[l.Any]})}select(e,t,s,i=\"replace\"){const n=[],o=[];for(const t of e)t instanceof c.GlyphRendererView?n.push(t):t instanceof r.GraphRendererView&&o.push(t);let l=!1;for(const e of o){const n=e.model.selection_policy.hit_test(t,e);l=l||e.model.selection_policy.do_selection(n,e.model,s,i)}if(n.length>0){const e=this.source.selection_policy.hit_test(t,n);l=l||this.source.selection_policy.do_selection(e,this.source,s,i)}return l}inspect(e,t){let s=!1;if(e instanceof c.GlyphRendererView){const i=e.hit_test(t);if(null!=i){s=!i.is_empty();const n=this.get_or_create_inspector(e.model);n.update(i,!0,\"replace\"),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof r.GraphRendererView){const i=e.model.inspection_policy.hit_test(t,e);s=s||e.model.inspection_policy.do_inspection(i,t,e,!1,\"replace\")}return s}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new o.Selection,this.inspectors.set(e,t)),t}}s.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(82),n=e(83),h=e(94),o=e(95),a=e(97),_=e(98),c=e(72),r=s.__importStar(e(18)),d=e(12),g=e(9),p=e(17),y=e(99),u=e(90),m={fill:{},line:{}},v={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},f={fill:{fill_alpha:.2},line:{}};class w extends l.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model.glyph,t=g.includes(e._mixins,\"fill\"),i=g.includes(e._mixins,\"line\"),s=p.clone(e.attributes);function l(l){const n=p.clone(s);return t&&p.extend(n,l.fill),i&&p.extend(n,l.line),new e.constructor(n)}delete s.id,this.glyph=await this.build_glyph_view(e);let{selection_glyph:n}=this.model;null==n?n=l({fill:{},line:{}}):\"auto\"===n&&(n=l(m)),this.selection_glyph=await this.build_glyph_view(n);let{nonselection_glyph:h}=this.model;null==h?h=l({fill:{},line:{}}):\"auto\"===h&&(h=l(f)),this.nonselection_glyph=await this.build_glyph_view(h);const{hover_glyph:o}=this.model;null!=o&&(this.hover_glyph=await this.build_glyph_view(o));const{muted_glyph:a}=this.model;null!=a&&(this.muted_glyph=await this.build_glyph_view(a));const _=l(v);this.decimated_glyph=await this.build_glyph_view(_),this.xscale=this.plot_view.frame.xscales[this.model.x_range_name],this.yscale=this.plot_view.frame.yscales[this.model.y_range_name],this.set_data(!1)}async build_glyph_view(e){return y.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.glyph.change,()=>this.set_data()),this.connect(this.model.data_source.change,()=>this.set_data()),this.connect(this.model.data_source.streaming,()=>this.set_data()),this.connect(this.model.data_source.patching,e=>this.set_data(!0,e)),this.connect(this.model.data_source.selected.change,()=>this.request_render()),this.connect(this.model.data_source._select,()=>this.request_render()),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,()=>this.request_render()),this.connect(this.model.properties.view.change,()=>this.set_data()),this.connect(this.model.view.change,()=>this.set_data()),this.connect(this.model.properties.visible.change,()=>this.plot_view.update_dataranges());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const i=e[t];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}for(const e in t){const i=t[e];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}this.connect(this.model.glyph.transformchange,()=>this.set_data())}have_selection_glyphs(){return null!=this.selection_glyph&&null!=this.nonselection_glyph}set_data(e=!0,t=null){const i=Date.now(),s=this.model.data_source;this.all_indices=this.model.view.indices,this.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.glyph.set_data(s,this.all_indices,t),this.glyph.set_visuals(s,this.all_indices),this.decimated_glyph.set_visuals(s,this.all_indices),this.have_selection_glyphs()&&(this.selection_glyph.set_visuals(s,this.all_indices),this.nonselection_glyph.set_visuals(s,this.all_indices)),null!=this.hover_glyph&&this.hover_glyph.set_visuals(s,this.all_indices),null!=this.muted_glyph&&this.muted_glyph.set_visuals(s,this.all_indices);const{lod_factor:l}=this.plot_model;this.decimated=[];for(let e=0,t=Math.floor(this.all_indices.length/l);e<t;e++)this.decimated.push(e*l);const n=Date.now()-i;c.logger.debug(`${this.glyph.model.type} ${this.model}): set_data finished in ${n}ms`),this.set_data_timestamp=Date.now(),e&&this.request_render()}get has_webgl(){return this.glyph.has_webgl}render(){if(!this.model.visible)return;const e=Date.now(),t=this.has_webgl;this.glyph.map_data();const i=Date.now()-e,s=Date.now();let l=this.glyph.mask_data(this.all_indices);l.length===this.all_indices.length&&(l=g.range(0,this.all_indices.length));const _=Date.now()-s,{ctx:r}=this.layer;r.save();const{selected:p}=this.model.data_source;let y;y=!p||p.is_empty()?[]:this.glyph instanceof n.LineView&&p.selected_glyph===this.glyph.model?this.model.view.convert_indices_from_subset(l):p.indices;const{inspected:u}=this.model.data_source,m=new Set((()=>!u||u.is_empty()?[]:u.selected_glyph?this.model.view.convert_indices_from_subset(l):u.indices.length>0?u.indices:Object.keys(u.multiline_indices).map(e=>parseInt(e)))()),v=d.filter(l,e=>m.has(this.all_indices[e])),{lod_threshold:f}=this.plot_model;let w,b,x;null!=this.model.document&&this.model.document.interactive_duration()>0&&!t&&null!=f&&this.all_indices.length>f?(l=this.decimated,w=this.decimated_glyph,b=this.decimated_glyph,x=this.selection_glyph):(w=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,b=this.nonselection_glyph,x=this.selection_glyph),null!=this.hover_glyph&&v.length&&(l=g.difference(l,v));let D,V=null;if(y.length&&this.have_selection_glyphs()){const e=Date.now(),t={};for(const e of y)t[e]=!0;const i=new Array,s=new Array;if(this.glyph instanceof n.LineView)for(const e of this.all_indices)null!=t[e]?i.push(e):s.push(e);else for(const e of l)null!=t[this.all_indices[e]]?i.push(e):s.push(e);V=Date.now()-e,D=Date.now(),b.render(r,s,this.glyph),x.render(r,i,this.glyph),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):this.hover_glyph.render(r,v,this.glyph))}else if(D=Date.now(),this.glyph instanceof n.LineView)this.hover_glyph&&v.length?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):w.render(r,this.all_indices,this.glyph);else if(this.glyph instanceof h.PatchView||this.glyph instanceof o.HAreaView||this.glyph instanceof a.VAreaView)if(0==u.selected_glyphs.length||null==this.hover_glyph)w.render(r,this.all_indices,this.glyph);else for(const e of u.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(r,this.all_indices,this.glyph);else w.render(r,l,this.glyph),this.hover_glyph&&v.length&&this.hover_glyph.render(r,v,this.glyph);const R=Date.now()-D;this.last_dtrender=R;const $=Date.now()-e;c.logger.debug(`${this.glyph.model.type} ${this.model}: render finished in ${$}ms`),c.logger.trace(` - map_data finished in       : ${i}ms`),c.logger.trace(` - mask_data finished in      : ${_}ms`),null!=V&&c.logger.trace(` - selection mask finished in : ${V}ms`),c.logger.trace(` - glyph renders finished in  : ${R}ms`),r.restore()}draw_legend(e,t,i,s,l,n,h,o){null==o&&(o=this.model.get_reference_point(n,h)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o)}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=w,w.__name__=\"GlyphRendererView\";class b extends l.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=w,this.define({data_source:[r.Instance],view:[r.Instance,()=>new _.CDSView],glyph:[r.Instance],hover_glyph:[r.Instance],nonselection_glyph:[r.Any,\"auto\"],selection_glyph:[r.Any,\"auto\"],muted_glyph:[r.Instance],muted:[r.Boolean,!1]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){let i=0;if(null!=e){const s=this.data_source.get_column(e);if(null!=s){const e=d.indexOf(s,t);-1!=e&&(i=e)}}return i}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=b,b.__name__=\"GlyphRenderer\",b.init_GlyphRenderer()},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),a=e(65),_=t.__importStar(e(18));class i extends a.RendererView{}n.DataRendererView=i,i.__name__=\"DataRendererView\";class d extends a.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.define({x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"glyph\"})}}n.DataRenderer=d,d.__name__=\"DataRenderer\",d.init_DataRenderer()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),_=e(92),l=s.__importStar(e(23)),o=s.__importStar(e(93)),r=e(79);class h extends n.XYGlyphView{_render(e,t,{sx:i,sy:s}){let n=!1,_=null;this.visuals.line.set_value(e);for(const l of t){if(n){if(!isFinite(i[l]+s[l])){e.stroke(),e.beginPath(),n=!1,_=l;continue}null!=_&&l-_>1&&(e.stroke(),n=!1)}n?e.lineTo(i[l],s[l]):(e.beginPath(),e.moveTo(i[l],s[l]),n=!0),_=l}n&&e.stroke()}_hit_point(e){const t=new r.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.visuals.line.line_width.value()/2);for(let e=0,_=this.sx.length-1;e<_;e++){const _={x:this.sx[e],y:this.sy[e]},l={x:this.sx[e+1],y:this.sy[e+1]},r=o.dist_to_segment(i,_,l);r<n&&r<s&&(s=r,t.add_to_selected_glyphs(this.model),t.get_view=()=>this,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=new r.Selection;let n,_;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),_=this._y):(n=this.renderer.xscale.invert(t),_=this._x);for(let e=0,t=_.length-1;e<t;e++)(_[e]<=n&&n<=_[e+1]||_[e+1]<=n&&n<=_[e])&&(s.add_to_selected_glyphs(this.model),s.get_view=()=>this,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return _.line_interpolation(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){_.generic_line_legend(this.visuals,e,t,i)}}i.LineView=h,h.__name__=\"LineView\";class a extends n.XYGlyph{constructor(e){super(e)}static init_Line(){this.prototype.default_view=h,this.mixins(l.Line)}}i.Line=a,a.__name__=\"Line\",a.init_Line()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(85),n=e(89);class _ extends n.GlyphView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y[t];!isNaN(s+i)&&isFinite(s+i)&&e.push({x0:s,y0:i,x1:s,y1:i,i:t})}return new i.SpatialIndex(e)}scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}}s.XYGlyphView=_,_.__name__=\"XYGlyphView\";class h extends n.Glyph{constructor(e){super(e)}static init_XYGlyph(){this.coords([[\"x\",\"y\"]])}}s.XYGlyph=h,h.__name__=\"XYGlyph\",h.init_XYGlyph()},\n      function _(n,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=n(1).__importDefault(n(86)),s=n(88);class r{constructor(n){if(this.points=n,this.index=null,n.length>0){this.index=new e.default(n.length);for(const t of n){const{x0:n,y0:i,x1:e,y1:s}=t;this.index.add(n,i,e,s)}this.index.finish()}}_normalize(n){let{x0:t,y0:i,x1:e,y1:s}=n;return t>e&&([t,e]=[e,t]),i>s&&([i,s]=[s,i]),{x0:t,y0:i,x1:e,y1:s}}get bbox(){if(null==this.index)return s.empty();{const{minX:n,minY:t,maxX:i,maxY:e}=this.index;return{x0:n,y0:t,x1:i,y1:e}}}search(n){if(null==this.index)return[];{const{x0:t,y0:i,x1:e,y1:s}=this._normalize(n);return this.index.search(t,i,e,s).map(n=>this.points[n])}}indices(n){return this.search(n).map(({i:n})=>n)}}i.SpatialIndex=r,r.__name__=\"SpatialIndex\"},\n      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1).__importDefault(t(87)),h=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class n{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[o]=new Uint32Array(t,4,1);return new n(o,e,h[15&i],t)}constructor(t,s=16,i=Float64Array,n){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let o=t,r=o;this._levelBounds=[4*o];do{o=Math.ceil(o/this.nodeSize),r+=o,this._levelBounds.push(4*r)}while(1!==o);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=h.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);n&&n instanceof ArrayBuffer?(this.data=n,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new e.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,t<this.minX&&(this.minX=t),s<this.minY&&(this.minY=s),i>this.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e<this.numItems;e++){let h=4*e;const n=this._boxes[h++],o=this._boxes[h++],r=this._boxes[h++],a=this._boxes[h++],d=Math.floor(65535*((n+r)/2-this.minX)/t),x=Math.floor(65535*((o+a)/2-this.minY)/s);i[e]=_(d,x)}!function t(s,i,e,h,n,o){if(Math.floor(h/o)>=Math.floor(n/o))return;const r=s[h+n>>1];let _=h-1,d=n+1;for(;;){do{_++}while(s[_]<r);do{d--}while(s[d]>r);if(_>=d)break;a(s,i,e,_,d)}t(s,i,e,h,d,o),t(s,i,e,d+1,n,o)}(i,this._boxes,this._indices,0,this.numItems-1,this.nodeSize);for(let t=0,s=0;t<this._levelBounds.length-1;t++){const i=this._levelBounds[t];for(;s<i;){const t=s;let e=1/0,h=1/0,n=-1/0,o=-1/0;for(let t=0;t<this.nodeSize&&s<i;t++)e=Math.min(e,this._boxes[s++]),h=Math.min(h,this._boxes[s++]),n=Math.max(n,this._boxes[s++]),o=Math.max(o,this._boxes[s++]);this._indices[this._pos>>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],a=[];for(;void 0!==n;){const _=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let r=n;r<_;r+=4){const _=0|this._indices[r>>2];i<this._boxes[r]||(e<this._boxes[r+1]||t>this._boxes[r+2]||s>this._boxes[r+3]||(n<4*this.numItems?(void 0===h||h(_))&&a.push(_):o.push(_)))}n=o.pop()}return a}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const a=this._queue,_=[],d=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let i=n;i<e;i+=4){const e=0|this._indices[i>>2],r=o(t,this._boxes[i],this._boxes[i+2]),_=o(s,this._boxes[i+1],this._boxes[i+3]),d=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&a.push(-e-1,d):a.push(e,d)}for(;a.length&&a.peek()<0;){if(a.peekValue()>d)return a.clear(),_;if(_.push(-a.pop()-1),_.length===i)return a.clear(),_}n=a.pop()}return a.clear(),_}}function o(t,s,i){return t<s?s-t:t<=i?0:t-i}function r(t,s){let i=0,e=s.length-1;for(;i<e;){const h=i+e>>1;s[h]>t?e=h:i=h+1}return s[i]}function a(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],d=s[o+2],x=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=d,s[r+3]=x;const l=i[e];i[e]=i[h],i[h]=l}function _(t,s){let 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super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e){let s=null;try{s=await Promise.resolve().then(()=>i.__importStar(t(371)))}catch(t){if(\"MODULE_NOT_FOUND\"!==t.code)throw t;h.logger.warn(\"WebGL was requested and is supported, but bokeh-gl(.min).js is not available, falling back to 2D rendering.\")}if(null!=s){const t=s[this.model.type+\"GLGlyph\"];null!=t&&(this.glglyph=new t(e.gl,this))}}}set_visuals(t,e){this.visuals.set_all_indices(e),this.visuals.warm_cache(t),null!=this.glglyph&&this.glglyph.set_visuals_changed()}render(t,e,s){t.beginPath(),null!=this.glglyph&&this.glglyph.render(t,e,s)||this._render(t,e,s)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(t){return t}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const t=r.empty(),e=this.index.search(r.positive_x());for(const s of e)s.x0<t.x0&&(t.x0=s.x0),s.x1>t.x1&&(t.x1=s.x1);const s=this.index.search(r.positive_y());for(const e of s)e.y0<t.y0&&(t.y0=e.y0),e.y1>t.y1&&(t.y1=e.y1);return this._bounds(t)}get_anchor_point(t,e,[s,i]){switch(t){case\"center\":return{x:this.scenterx(e,s,i),y:this.scentery(e,s,i)};default:return null}}sdist(t,e,s,i=\"edge\",n=!1){let r,a;const _=e.length;if(\"center\"==i){const t=c.map(s,t=>t/2);r=new Float64Array(_);for(let s=0;s<_;s++)r[s]=e[s]-t[s];a=new Float64Array(_);for(let s=0;s<_;s++)a[s]=e[s]+t[s]}else{r=e,a=new Float64Array(_);for(let t=0;t<_;t++)a[t]=r[t]+s[t]}const l=t.v_compute(r),o=t.v_compute(a);return n?c.map(l,(t,e)=>Math.ceil(Math.abs(o[e]-l[e]))):c.map(l,(t,e)=>Math.abs(o[e]-l[e]))}draw_legend_for_index(t,e,s){}hit_test(t){switch(t.type){case\"point\":if(null!=this._hit_point)return this._hit_point(t);break;case\"span\":if(null!=this._hit_span)return this._hit_span(t);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(t);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(t)}return this._nohit_warned.has(t.type)||(h.logger.debug(`'${t.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(t.type)),null}_hit_rect_against_index(t){const{sx0:e,sx1:s,sy0:i,sy1:n}=t,[r,a]=this.renderer.xscale.r_invert(e,s),[_,l]=this.renderer.yscale.r_invert(i,n),o=this.index.indices({x0:r,x1:a,y0:_,y1:l});return new g.Selection({indices:o})}set_data(t,e,s){let i=this.model.materialize_dataspecs(t);if(e&&!(this instanceof y.LineView)){const t={};for(const s in i){const n=i[s];\"_\"===s.charAt(0)?t[s]=e.map(t=>n[t]):t[s]=n}i=t}const n=this;if(d.extend(n,i),this.renderer.plot_view.model.use_map&&(null!=n._x&&([n._x,n._y]=a.project_xy(n._x,n._y)),null!=n._xs&&([n._xs,n._ys]=a.project_xsys(n._xs,n._ys)),null!=n._x0&&([n._x0,n._y0]=a.project_xy(n._x0,n._y0)),null!=n._x1&&([n._x1,n._y1]=a.project_xy(n._x1,n._y1))),null!=this.renderer.plot_view.frame.x_ranges){const t=this.renderer.plot_view.frame.x_ranges[this.model.x_range_name],e=this.renderer.plot_view.frame.y_ranges[this.model.y_range_name];for(let[s,i]of this.model._coords)s=\"_\"+s,i=\"_\"+i,null!=n._xs?(t instanceof u.FactorRange&&(n[s]=c.map(n[s],e=>t.v_synthetic(e))),e instanceof u.FactorRange&&(n[i]=c.map(n[i],t=>e.v_synthetic(t)))):(t instanceof u.FactorRange&&(n[s]=t.v_synthetic(n[s])),e instanceof u.FactorRange&&(n[i]=e.v_synthetic(n[i])))}null!=this.glglyph&&this.glglyph.set_data_changed(n._x.length),this._set_data(s),this.index_data()}_set_data(t){}index_data(){this.index=this._index_data()}mask_data(t){return null!=this.glglyph||null==this._mask_data?t:this._mask_data()}map_data(){const t=this;for(let[e,s]of this.model._coords){const i=\"s\"+e,n=\"s\"+s;if(e=\"_\"+e,s=\"_\"+s,null!=t[e]&&(p.isArray(t[e][0])||p.isTypedArray(t[e][0]))){const r=t[e].length;t[i]=new Array(r),t[n]=new Array(r);for(let a=0;a<r;a++){const[r,_]=this.map_to_screen(t[e][a],t[s][a]);t[i][a]=r,t[n][a]=_}}else[t[i],t[n]]=this.map_to_screen(t[e],t[s])}this._map_data()}_map_data(){}map_to_screen(t,e){return this.renderer.plot_view.map_to_screen(t,e,this.model.x_range_name,this.model.y_range_name)}}s.GlyphView=x,x.__name__=\"GlyphView\";class m extends o.Model{constructor(t){super(t)}static init_Glyph(){this.prototype._coords=[],this.internal({x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"]})}static coords(t){const e=this.prototype._coords.concat(t);this.prototype._coords=e;const s={};for(const[e,i]of t)s[e]=[n.CoordinateSpec],s[i]=[n.CoordinateSpec];this.define(s)}}s.Glyph=m,m.__name__=\"Glyph\",m.init_Glyph()},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=t(1),i=t(91),r=s.__importStar(t(18)),a=t(12),o=t(9),p=t(8),g=t(11);function c(t,e,n=0){const s=new Map;for(let i=0;i<t.length;i++){const r=t[i];if(s.has(r))throw new Error(\"duplicate factor or subfactor: \"+r);s.set(r,{value:.5+i*(1+e)+n})}return[s,(t.length-1)*e]}function l(t,e,n,s=0){var i;const r=new Map,a=new Map;for(const[e,n]of t){const t=null!==(i=a.get(e))&&void 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max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,()=>this.reset()),this.connect(this.properties.factor_padding.change,()=>this.reset()),this.connect(this.properties.group_padding.change,()=>this.reset()),this.connect(this.properties.subgroup_padding.change,()=>this.reset()),this.connect(this.properties.range_padding.change,()=>this.reset()),this.connect(this.properties.range_padding_units.change,()=>this.reset())}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[e]=t,n=this._mapping.get(e);return null!=n?n.value:NaN}case 2:{const[e,n]=t,s=this._mapping.get(e);if(null!=s){const t=s.mapping.get(n);if(null!=t)return t.value}return NaN}case 3:{const[e,n,s]=t,i=this._mapping.get(e);if(null!=i){const t=i.mapping.get(n);if(null!=t){const e=t.mapping.get(s);if(null!=e)return e.value}}return NaN}default:g.unreachable()}}synthetic(t){if(p.isNumber(t))return t;if(p.isString(t))return this._lookup([t]);let e=0;const n=t[t.length-1];return p.isNumber(n)&&(e=n,t=t.slice(0,-1)),this._lookup(t)+e}v_synthetic(t){return a.map(t,t=>this.synthetic(t))}_init(t){const{levels:e,mapping:n,tops:s,mids:i,inside_padding:r}=(()=>{if(o.every(this.factors,p.isString)){const t=this.factors,[e,n]=c(t,this.factor_padding);return{levels:1,mapping:e,tops:null,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&2==t.length&&p.isString(t[0])&&p.isString(t[1]))){const t=this.factors,[e,n]=l(t,this.group_padding,this.factor_padding),s=[...e.keys()];return{levels:2,mapping:e,tops:s,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&3==t.length&&p.isString(t[0])&&p.isString(t[1])&&p.isString(t[2]))){const t=this.factors,[e,n]=u(t,this.group_padding,this.subgroup_padding,this.factor_padding),s=[...e.keys()],i=[];for(const[t,n]of e)for(const e of n.mapping.keys())i.push([t,e]);return{levels:3,mapping:e,tops:s,mids:i,inside_padding:n}}g.unreachable()})();this._mapping=n,this.tops=s,this.mids=i;let a=0,h=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(h-a)*this.range_padding/2;a-=t,h+=t}else a-=this.range_padding,h+=this.range_padding;this.setv({start:a,end:h,levels:e},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,h]},{silent:!0})}}n.FactorRange=h,h.__name__=\"FactorRange\",h.init_FactorRange()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(71),r=i.__importStar(e(18));class s extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define({bounds:[r.Any],min_interval:[r.Any],max_interval:[r.Any]}),this.internal({plots:[r.Array,[]]})}get is_reversed(){return this.start>this.end}}n.Range=s,s.__name__=\"Range\",s.init_Range()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1).__importStar(e(93));i.generic_line_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){t.save(),t.beginPath(),t.moveTo(i,(c+o)/2),t.lineTo(n,(c+o)/2),e.line.doit&&(e.line.set_vectorize(t,r),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){const l=.1*Math.abs(n-i),a=.1*Math.abs(o-c),s=i+l,_=n-l,h=c+a,v=o-a;e.fill.doit&&(e.fill.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(s,h,_-s,v-h),e.line.set_vectorize(t,r),t.stroke())},i.line_interpolation=function(e,t,i,c,o,r){const{sx:l,sy:a}=t;let s,_,h,v;\"point\"==t.type?([h,v]=e.yscale.r_invert(a-1,a+1),[s,_]=e.xscale.r_invert(l-1,l+1)):\"v\"==t.direction?([h,v]=e.yscale.r_invert(a,a),[s,_]=[Math.min(i-1,o-1),Math.max(i+1,o+1)]):([s,_]=e.xscale.r_invert(l,l),[h,v]=[Math.min(c-1,r-1),Math.max(c+1,r+1)]);const{x,y}=n.check_2_segments_intersect(s,h,_,v,i,c,o,r);return[x,y]}},\n      function _(t,n,e){function i(t){return t*t}function o(t,n){return i(t.x-n.x)+i(t.y-n.y)}function r(t,n,e){const i=o(n,e);if(0==i)return o(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;return o(t,r<0?n:r>1?e:{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}Object.defineProperty(e,\"__esModule\",{value:!0}),e.point_in_poly=function(t,n,e,i){let o=!1,r=e[e.length-1],s=i[i.length-1];for(let u=0;u<e.length;u++){const c=e[u],_=i[u];s<n!=_<n&&r+(n-s)/(_-s)*(c-r)<t&&(o=!o),r=c,s=_}return o},e.point_in_ellipse=function(t,n,e,i,o,r,s){return((Math.cos(e)/o)**2+(Math.sin(e)/i)**2)*(t-r)**2+2*Math.cos(e)*Math.sin(e)*((1/o)**2-(1/i)**2)*(t-r)*(n-s)+((Math.cos(e)/i)**2+(Math.sin(e)/o)**2)*(n-s)**2<=1},e.dist_2_pts=o,e.dist_to_segment_squared=r,e.dist_to_segment=function(t,n,e){return Math.sqrt(r(t,n,e))},e.check_2_segments_intersect=function(t,n,e,i,o,r,s,u){const c=(u-r)*(e-t)-(s-o)*(i-n);if(0==c)return{hit:!1,x:null,y:null};{let _=n-r,l=t-o;const y=(e-t)*_-(i-n)*l;return _=((s-o)*_-(u-r)*l)/c,l=y/c,{hit:_>0&&_<1&&l>0&&l<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),l=e(84),_=e(92),n=s.__importStar(e(93)),o=s.__importStar(e(23)),a=e(79);class h extends l.XYGlyphView{_inner_loop(e,i,t,s,l){for(const _ of i)0!=_?isNaN(t[_]+s[_])?(e.closePath(),l.apply(e),e.beginPath()):e.lineTo(t[_],s[_]):(e.beginPath(),e.moveTo(t[_],s[_]));e.closePath(),l.call(e)}_render(e,i,{sx:t,sy:s}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner_loop(e,i,t,s,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner_loop(e,i,t,s,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_value(e),this._inner_loop(e,i,t,s,e.stroke))}draw_legend_for_index(e,i,t){_.generic_area_legend(this.visuals,e,i,t)}_hit_point(e){const i=new a.Selection;return n.point_in_poly(e.sx,e.sy,this.sx,this.sy)&&(i.add_to_selected_glyphs(this.model),i.get_view=()=>this),i}}t.PatchView=h,h.__name__=\"PatchView\";class r extends l.XYGlyph{constructor(e){super(e)}static init_Patch(){this.prototype.default_view=h,this.mixins([o.Line,o.Fill,o.Hatch])}}t.Patch=r,r.__name__=\"Patch\",r.init_Patch()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x1.length;t<s;t++){const s=this._x1[t],i=this._x2[t],r=this._y[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:Math.min(s,i),y0:r,x1:Math.max(s,i),y1:r,i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let s=0,r=t.length;s<r;s++)e.lineTo(t[s],i[s]);for(let t=s.length-1;t>=0;t--)e.lineTo(s[t],i[t]);e.closePath(),r.call(e)}_render(e,t,{sx1:s,sx2:i,sy:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}_hit_point(e){const t=this.sy.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx1[e],i[e]=this.sy[e],s[t+e]=this.sx2[t-e-1],i[t+e]=this.sy[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}scenterx(e){return(this.sx1[e]+this.sx2[e])/2}scentery(e){return this.sy[e]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}s.HAreaView=l,l.__name__=\"HAreaView\";class o extends r.Area{constructor(e){super(e)}static init_HArea(){this.prototype.default_view=l,this.define({x1:[_.CoordinateSpec],x2:[_.CoordinateSpec],y:[_.CoordinateSpec]})}}s.HArea=o,o.__name__=\"HArea\",o.init_HArea()},\n      function _(e,_,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(1),r=e(89),t=e(92),n=a.__importStar(e(23));class s extends r.GlyphView{draw_legend_for_index(e,_,i){t.generic_area_legend(this.visuals,e,_,i)}}i.AreaView=s,s.__name__=\"AreaView\";class c extends r.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([n.Fill,n.HatchVector])}}i.Area=c,c.__name__=\"Area\",c.init_Area()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y1[t],r=this._y2[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:s,y0:Math.min(i,r),x1:s,y1:Math.max(i,r),i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let i=0,r=s.length;i<r;i++)e.lineTo(t[i],s[i]);for(let s=i.length-1;s>=0;s--)e.lineTo(t[s],i[s]);e.closePath(),r.call(e)}_render(e,t,{sx:s,sy1:i,sy2:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}scenterx(e){return this.sx[e]}scentery(e){return(this.sy1[e]+this.sy2[e])/2}_hit_point(e){const t=this.sx.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx[e],i[e]=this.sy1[e],s[t+e]=this.sx[t-e-1],i[t+e]=this.sy2[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}s.VAreaView=l,l.__name__=\"VAreaView\";class o extends r.Area{constructor(e){super(e)}static init_VArea(){this.prototype.default_view=l,this.define({x:[_.CoordinateSpec],y1:[_.CoordinateSpec],y2:[_.CoordinateSpec]})}}s.VArea=o,o.__name__=\"VArea\",o.init_VArea()},\n      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),c=t.__importStar(i(18)),o=i(79),r=i(9),_=i(77);class h extends n.Model{constructor(i){super(i)}static init_CDSView(){this.define({filters:[c.Array,[]],source:[c.Instance]}),this.internal({indices:[c.Array,[]],indices_map:[c.Any,{}]})}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,()=>{this.compute_indices(),this.change.emit()});const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,()=>{e||(i(),e=!0)})}compute_indices(){const i=this.filters.map(i=>i.compute_indices(this.source)).filter(i=>null!=i);i.length>0?this.indices=r.intersection.apply(this,i):this.source instanceof _.ColumnarDataSource&&(this.indices=this.source.get_indices()),this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;i<this.indices.length;i++)this.indices_map[this.indices[i]]=i}convert_selection_from_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_selection_to_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices_map[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_indices_from_subset(i){return i.map(i=>this.indices[i])}}s.CDSView=h,h.__name__=\"CDSView\",h.init_CDSView()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(9);async function i(e,n,t){const o=new e(Object.assign(Object.assign({},t),{model:n}));return o.initialize(),await o.lazy_initialize(),o}t.build_view=async function(e,n={parent:null},t=(e=>e.default_view)){const o=await i(t(e),e,n);return o.connect_signals(),o},t.build_views=async function(e,n,t={parent:null},s=(e=>e.default_view)){const c=o.difference([...e.keys()],n);for(const n of c)e.get(n).remove(),e.delete(n);const a=[],f=n.filter(n=>!e.has(n));for(const n of f){const o=await i(s(n),n,t);e.set(n,o),a.push(o)}for(const e of a)e.connect_signals();return a},t.remove_views=function(e){for(const[n,t]of e)t.remove(),e.delete(n)}},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),r=e(82),i=e(101),a=s.__importStar(e(18)),d=e(99);class _ extends r.DataRendererView{initialize(){super.initialize(),this.xscale=this.plot_view.frame.xscales.default,this.yscale=this.plot_view.frame.yscales.default,this._renderer_views=new Map}async lazy_initialize(){[this.node_view,this.edge_view]=await d.build_views(this._renderer_views,[this.model.node_renderer,this.model.edge_renderer],{parent:this.parent}),this.set_data()}remove(){d.remove_views(this._renderer_views),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,()=>this.set_data()),this.connect(this.model.node_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.change,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.change,()=>this.set_data());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const n=e[t];this.connect(n.change,()=>this.set_data())}for(const e in t){const n=t[e];this.connect(n.change,()=>this.set_data())}}set_data(e=!0){this.node_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.edge_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0});const t=this.node_view.glyph;[t._x,t._y]=this.model.layout_provider.get_node_coordinates(this.model.node_renderer.data_source);const n=this.edge_view.glyph;[n._xs,n._ys]=this.model.layout_provider.get_edge_coordinates(this.model.edge_renderer.data_source),t.index_data(),n.index_data(),e&&this.request_render()}render(){this.edge_view.render(),this.node_view.render()}}n.GraphRendererView=_,_.__name__=\"GraphRendererView\";class o extends r.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=_,this.define({layout_provider:[a.Instance],node_renderer:[a.Instance],edge_renderer:[a.Instance],selection_policy:[a.Instance,()=>new i.NodesOnly],inspection_policy:[a.Instance,()=>new i.NodesOnly]})}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=o,o.__name__=\"GraphRenderer\",o.init_GraphRenderer()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const d=e(71),s=e(12),o=e(9),_=e(79);class i extends d.Model{constructor(e){super(e)}_hit_test_nodes(e,t){if(!t.model.visible)return null;const n=t.node_view.glyph.hit_test(e);return null==n?null:t.node_view.model.view.convert_selection_from_subset(n)}_hit_test_edges(e,t){if(!t.model.visible)return null;const n=t.edge_view.glyph.hit_test(e);return null==n?null:t.edge_view.model.view.convert_selection_from_subset(n)}}n.GraphHitTestPolicy=i,i.__name__=\"GraphHitTestPolicy\";class r extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.model.get_selection_manager().get_or_create_inspector(n.node_view.model);return o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesOnly=r,r.__name__=\"NodesOnly\";class c extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}get_linked_edges(e,t,n){let d=[];\"selection\"==n?d=e.selected.indices.map(t=>e.data.index[t]):\"inspection\"==n&&(d=e.inspected.indices.map(t=>e.data.index[t]));const s=[];for(let e=0;e<t.data.start.length;e++)(o.contains(d,t.data.start[e])||o.contains(d,t.data.end[e]))&&s.push(e);const i=new _.Selection;for(const e of s)i.multiline_indices[e]=[0];return i.indices=s,i}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;s.update(e,n,d);const o=t.edge_renderer.data_source.selected,_=this.get_linked_edges(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model);o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model),i=this.get_linked_edges(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.edge_view.model.data_source.setv({inspected:_},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesAndLinkedEdges=c,c.__name__=\"NodesAndLinkedEdges\";class a extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_edges(e,t)}get_linked_nodes(e,t,n){let d=[];\"selection\"==n?d=t.selected.indices:\"inspection\"==n&&(d=t.inspected.indices);const i=[];for(const e of d)i.push(t.data.start[e]),i.push(t.data.end[e]);const r=o.uniq(i).map(t=>s.indexOf(e.data.index,t));return new _.Selection({indices:r})}do_selection(e,t,n,d){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,n,d);const o=t.node_renderer.data_source.selected,_=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model);o.update(e,d,s),n.edge_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model),i=this.get_linked_nodes(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.node_view.model.data_source.setv({inspected:_},{silent:!0}),n.edge_view.model.data_source.inspect.emit([n.edge_view,{geometry:t}]),!o.is_empty()}}n.EdgesAndLinkedNodes=a,a.__name__=\"EdgesAndLinkedNodes\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(71);class o extends s.Model{do_selection(e,t,n,s){return null!==e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=o,o.__name__=\"SelectionPolicy\";class r extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=r,r.__name__=\"IntersectRenderers\";class c extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=c,c.__name__=\"UnionRenderers\"},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.concat=function(t,...e){let n=t.length;for(const t of e)n+=t.length;const o=new t.constructor(n);o.set(t,0);let c=t.length;for(const t of e)o.set(t,c),c+=t.length;return o}},\n      function _(n,o,e){function t(...n){const o=new Set;for(const e of n)for(const n of e)o.add(n);return o}Object.defineProperty(e,\"__esModule\",{value:!0}),e.union=t,e.intersection=function(n,...o){const e=new Set;n:for(const t of n){for(const n of o)if(!n.has(t))continue n;e.add(t)}return e},e.difference=function(n,...o){const e=new Set(n);for(const n of t(...o))e.delete(n);return e}},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(13);class o{constructor(e){this.document=e}}s.DocumentEvent=o,o.__name__=\"DocumentEvent\";class r extends o{constructor(e,t,s){super(e),this.events=t,this.setter_id=s}}s.DocumentEventBatch=r,r.__name__=\"DocumentEventBatch\";class d extends o{}s.DocumentChangedEvent=d,d.__name__=\"DocumentChangedEvent\";class _ extends d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}json(e){const t=this.msg_data,s=n.HasProps._value_to_json(t),o=new Set;return n.HasProps._value_record_references(t,o,{recursive:!0}),{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=_,_.__name__=\"MessageSentEvent\";class i extends d{constructor(e,t,s,n,o,r,d){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=r,this.hint=d}json(e){if(\"id\"===this.attr)throw new Error(\"'id' field should never change, whatever code just set it is wrong\");if(null!=this.hint)return this.hint.json(e);const t=this.new_,s=n.HasProps._value_to_json(t),o=new Set;n.HasProps._value_record_references(t,o,{recursive:!0}),o.has(this.model)&&this.model!==t&&o.delete(this.model);for(const t of o)e.add(t);return{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=i,i.__name__=\"ModelChangedEvent\";class a extends d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}json(e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=a,a.__name__=\"ColumnsPatchedEvent\";class c extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}json(e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=c,c.__name__=\"ColumnsStreamedEvent\";class h extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}json(e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=h,h.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return n.HasProps._value_record_references(this.model,e,{recursive:!0}),{kind:\"RootAdded\",model:this.model.ref()}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class l extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=l,l.__name__=\"RootRemovedEvent\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(31),o=e(76),l=i.__importStar(e(23)),a=i.__importStar(e(18));class n extends _.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],_=\"height\"==t?i:s,o=\"height\"==t?s:i,l=\"height\"==t?e.yview:e.xview,a=\"height\"==t?e.xview:e.yview;let n,h,r;n=\"data\"==this.model.properties.lower.units?_.v_compute(this._lower):l.v_compute(this._lower),h=\"data\"==this.model.properties.upper.units?_.v_compute(this._upper):l.v_compute(this._upper),r=\"data\"==this.model.properties.base.units?o.v_compute(this._base):a.v_compute(this._base);const[c,p]=\"height\"==t?[1,0]:[0,1],u=[n,r],d=[h,r];this._lower_sx=u[c],this._lower_sy=u[p],this._upper_sx=d[c],this._upper_sy=d[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);for(let t=this._upper_sx.length-1;t>=0;t--)e.lineTo(this._upper_sx[t],this._upper_sy[t]);e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(e),e.fill()),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke()),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let t=0,s=this._upper_sx.length;t<s;t++)e.lineTo(this._upper_sx[t],this._upper_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke())}}s.BandView=n,n.__name__=\"BandView\";class h extends _.Annotation{constructor(e){super(e)}static init_Band(){this.prototype.default_view=n,this.mixins([l.Line,l.Fill]),this.define({lower:[a.DistanceSpec],upper:[a.DistanceSpec],base:[a.DistanceSpec],dimension:[a.Dimension,\"height\"],source:[a.Instance,()=>new o.ColumnDataSource],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}}s.Band=h,h.__name__=\"Band\",h.init_Band()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),n=t(31),o=t(14),l=s.__importStar(t(23)),a=s.__importStar(t(18)),r=t(88);e.EDGE_TOLERANCE=2.5;class h extends n.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this)),this.connect(this.model.data_update,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;if(null==this.model.left&&null==this.model.right&&null==this.model.top&&null==this.model.bottom)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],e=t.yscales[this.model.y_range_name],s=(t,i,e,s,n)=>{let o;return o=null!=t?this.model.screen?t:\"data\"==i?e.compute(t):s.compute(t):n,o};this.sleft=s(this.model.left,this.model.left_units,i,t.xview,t._left.value),this.sright=s(this.model.right,this.model.right_units,i,t.xview,t._right.value),this.stop=s(this.model.top,this.model.top_units,e,t.yview,t._top.value),this.sbottom=s(this.model.bottom,this.model.bottom_units,e,t.yview,t._bottom.value),this._paint_box(this.sleft,this.sright,this.sbottom,this.stop)}_paint_box(t,i,e,s){const{ctx:n}=this.layer;n.save(),n.beginPath(),n.rect(t,s,i-t,e-s),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill()),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),n.restore()}interactive_bbox(){const t=this.model.properties.line_width.value()+e.EDGE_TOLERANCE;return new r.BBox({x0:this.sleft-t,y0:this.stop-t,x1:this.sright+t,y1:this.sbottom+t})}interactive_hit(t,i){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,i)}cursor(t,i){return Math.abs(t-this.sleft)<3||Math.abs(t-this.sright)<3?this.model.ew_cursor:Math.abs(i-this.sbottom)<3||Math.abs(i-this.stop)<3?this.model.ns_cursor:t>this.sleft&&t<this.sright&&i>this.stop&&i<this.sbottom?this.model.in_cursor:null}}e.BoxAnnotationView=h,h.__name__=\"BoxAnnotationView\";class _ extends n.Annotation{constructor(t){super(t)}static init_BoxAnnotation(){this.prototype.default_view=h,this.mixins([l.Line,l.Fill]),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],top:[a.Number,null],top_units:[a.SpatialUnits,\"data\"],bottom:[a.Number,null],bottom_units:[a.SpatialUnits,\"data\"],left:[a.Number,null],left_units:[a.SpatialUnits,\"data\"],right:[a.Number,null],right_units:[a.SpatialUnits,\"data\"]}),this.internal({screen:[a.Boolean,!1],ew_cursor:[a.String,null],ns_cursor:[a.String,null],in_cursor:[a.String,null]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({left:t,right:i,top:e,bottom:s}){this.setv({left:t,right:i,top:e,bottom:s,screen:!0},{silent:!0}),this.data_update.emit()}}e.BoxAnnotation=_,_.__name__=\"BoxAnnotation\",_.init_BoxAnnotation()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),a=t(31),s=t(109),r=t(113),l=t(115),n=t(120),_=t(130),h=t(131),m=o.__importStar(t(23)),d=o.__importStar(t(18)),c=o.__importStar(t(132)),u=t(9),p=t(12),g=t(8),f=t(11);class b extends a.AnnotationView{initialize(){super.initialize(),this._set_canvas_image()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.visible.change,()=>this.plot_view.request_render()),this.connect(this.model.ticker.change,()=>this.plot_view.request_render()),this.connect(this.model.formatter.change,()=>this.plot_view.request_render()),null!=this.model.color_mapper&&this.connect(this.model.color_mapper.change,()=>{this._set_canvas_image(),this.plot_view.request_render()})}_get_size(){if(null==this.model.color_mapper)return{width:0,height:0};{const{width:t,height:e}=this.compute_legend_dimensions();return{width:t,height:e}}}_set_canvas_image(){if(null==this.model.color_mapper)return;let t,e,{palette:i}=this.model.color_mapper;switch(\"vertical\"==this.model.orientation&&(i=u.reversed(i)),this.model.orientation){case\"vertical\":[t,e]=[1,i.length];break;case\"horizontal\":[t,e]=[i.length,1]}const o=document.createElement(\"canvas\");o.width=t,o.height=e;const a=o.getContext(\"2d\"),s=a.getImageData(0,0,t,e),r=new l.LinearColorMapper({palette:i}).rgba_mapper.v_compute(u.range(0,i.length));s.data.set(r),a.putImageData(s,0,0),this.image=o}compute_legend_dimensions(){const t=this._computed_image_dimensions(),[e,i]=[t.height,t.width],o=this._get_label_extent(),a=this._title_extent(),s=this._tick_extent(),{padding:r}=this.model;let l,n;switch(this.model.orientation){case\"vertical\":l=e+a+2*r,n=i+s+o+2*r;break;case\"horizontal\":l=e+a+s+o+2*r,n=i+2*r}return{width:n,height:l}}compute_legend_location(){const t=this.compute_legend_dimensions(),[e,i]=[t.height,t.width],o=this.model.margin,a=null!=this.panel?this.panel:this.plot_view.frame,[s,r]=a.bbox.ranges,{location:l}=this.model;let n,_;if(g.isString(l))switch(l){case\"top_left\":n=s.start+o,_=r.start+o;break;case\"top_center\":n=(s.end+s.start)/2-i/2,_=r.start+o;break;case\"top_right\":n=s.end-o-i,_=r.start+o;break;case\"bottom_right\":n=s.end-o-i,_=r.end-o-e;break;case\"bottom_center\":n=(s.end+s.start)/2-i/2,_=r.end-o-e;break;case\"bottom_left\":n=s.start+o,_=r.end-o-e;break;case\"center_left\":n=s.start+o,_=(r.end+r.start)/2-e/2;break;case\"center\":n=(s.end+s.start)/2-i/2,_=(r.end+r.start)/2-e/2;break;case\"center_right\":n=s.end-o-i,_=(r.end+r.start)/2-e/2}else if(g.isArray(l)&&2==l.length){const[t,i]=l;n=a.xview.compute(t),_=a.yview.compute(i)-e}else f.unreachable();return{sx:n,sy:_}}render(){if(!this.model.visible||null==this.model.color_mapper)return;const{ctx:t}=this.layer;t.save();const{sx:e,sy:i}=this.compute_legend_location();t.translate(e,i),this._draw_bbox(t);const o=this._get_image_offset();if(t.translate(o.x,o.y),this._draw_image(t),null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high){const e=this.tick_info();this._draw_major_ticks(t,e),this._draw_minor_ticks(t,e),this._draw_major_labels(t,e)}this.model.title&&this._draw_title(t),t.restore()}_draw_bbox(t){const e=this.compute_legend_dimensions();t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(0,0,e.width,e.height)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_image(t){const e=this._computed_image_dimensions();t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this.image,0,0,e.width,e.height),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_major_ticks(t,e){if(!this.visuals.major_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.major,_=this.model.major_tick_in,h=this.model.major_tick_out;t.save(),t.translate(s,r),this.visuals.major_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_minor_ticks(t,e){if(!this.visuals.minor_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.minor,_=this.model.minor_tick_in,h=this.model.minor_tick_out;t.save(),t.translate(s,r),this.visuals.minor_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_major_labels(t,e){if(!this.visuals.major_label_text.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],l=this.model.label_standoff+this._tick_extent(),[n,_]=[l*i,l*o],[h,m]=e.coords.major,d=e.labels.major;this.visuals.major_label_text.set_value(t),t.save(),t.translate(s+n,r+_);for(let e=0,a=h.length;e<a;e++)t.fillText(d[e],Math.round(h[e]+i*this.model.label_standoff),Math.round(m[e]+o*this.model.label_standoff));t.restore()}_draw_title(t){this.visuals.title_text.doit&&(t.save(),this.visuals.title_text.set_value(t),t.fillText(this.model.title,0,-this.model.title_standoff),t.restore())}_get_label_extent(){const t=this.tick_info().labels.major;let e;if(null==this.model.color_mapper.low||null==this.model.color_mapper.high||u.is_empty(t))e=0;else{const{ctx:i}=this.layer;switch(i.save(),this.visuals.major_label_text.set_value(i),this.model.orientation){case\"vertical\":e=u.max(t.map(t=>i.measureText(t.toString()).width));break;case\"horizontal\":e=c.measure_font(this.visuals.major_label_text.font_value()).height}e+=this.model.label_standoff,i.restore()}return e}_get_image_offset(){return{x:this.model.padding,y:this.model.padding+this._title_extent()}}_normals(){return\"vertical\"==this.model.orientation?[1,0]:[0,1]}_title_extent(){const t=this.model.title_text_font+\" \"+this.model.title_text_font_size+\" \"+this.model.title_text_font_style;return this.model.title?c.measure_font(t).height+this.model.title_standoff:0}_tick_extent(){return null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high?u.max([this.model.major_tick_out,this.model.minor_tick_out]):0}_computed_image_dimensions(){const t=this.plot_view.frame._height.value,e=this.plot_view.frame._width.value,i=this._title_extent();let o,a;switch(this.model.orientation){case\"vertical\":\"auto\"==this.model.height?null!=this.panel?o=t-2*this.model.padding-i:(o=u.max([25*this.model.color_mapper.palette.length,.3*t]),o=u.min([o,.8*t-2*this.model.padding-i])):o=this.model.height,a=\"auto\"==this.model.width?25:this.model.width;break;case\"horizontal\":o=\"auto\"==this.model.height?25:this.model.height,\"auto\"==this.model.width?null!=this.panel?a=e-2*this.model.padding:(a=u.max([25*this.model.color_mapper.palette.length,.3*e]),a=u.min([a,.8*e-2*this.model.padding])):a=this.model.width}return{width:a,height:o}}_tick_coordinate_scale(t){const e={source_range:new h.Range1d({start:this.model.color_mapper.low,end:this.model.color_mapper.high}),target_range:new h.Range1d({start:0,end:t})};switch(this.model.color_mapper.type){case\"LinearColorMapper\":return new n.LinearScale(e);case\"LogColorMapper\":return new _.LogScale(e);default:f.unreachable()}}_format_major_labels(t,e){const i=this.model.formatter.doFormat(t,null);for(let t=0,o=e.length;t<o;t++)e[t]in this.model.major_label_overrides&&(i[t]=this.model.major_label_overrides[e[t]]);return i}tick_info(){const t=this._computed_image_dimensions();let e;switch(this.model.orientation){case\"vertical\":e=t.height;break;case\"horizontal\":e=t.width}const i=this._tick_coordinate_scale(e),[o,a]=this._normals(),[s,r]=[this.model.color_mapper.low,this.model.color_mapper.high],l=this.model.ticker.get_ticks(s,r,null,null,this.model.ticker.desired_num_ticks),n=l.major,_=l.minor,h=[[],[]],m=[[],[]];for(let t=0,e=n.length;t<e;t++)n[t]<s||n[t]>r||(h[o].push(n[t]),h[a].push(0));for(let t=0,e=_.length;t<e;t++)_[t]<s||_[t]>r||(m[o].push(_[t]),m[a].push(0));const d={major:this._format_major_labels(h[o],n)},c={major:[[],[]],minor:[[],[]]};return c.major[o]=i.v_compute(h[o]),c.minor[o]=i.v_compute(m[o]),c.major[a]=h[a],c.minor[a]=m[a],\"vertical\"==this.model.orientation&&(c.major[o]=p.map(c.major[o],t=>e-t),c.minor[o]=p.map(c.minor[o],t=>e-t)),{coords:c,labels:d}}}i.ColorBarView=b,b.__name__=\"ColorBarView\";class v extends a.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=b,this.mixins([[\"major_label_\",m.Text],[\"title_\",m.Text],[\"major_tick_\",m.Line],[\"minor_tick_\",m.Line],[\"border_\",m.Line],[\"bar_\",m.Line],[\"background_\",m.Fill]]),this.define({location:[d.Any,\"top_right\"],orientation:[d.Orientation,\"vertical\"],title:[d.String],title_standoff:[d.Number,2],width:[d.Any,\"auto\"],height:[d.Any,\"auto\"],scale_alpha:[d.Number,1],ticker:[d.Instance,()=>new s.BasicTicker],formatter:[d.Instance,()=>new r.BasicTickFormatter],major_label_overrides:[d.Any,{}],color_mapper:[d.Instance],label_standoff:[d.Number,5],margin:[d.Number,30],padding:[d.Number,10],major_tick_in:[d.Number,5],major_tick_out:[d.Number,0],minor_tick_in:[d.Number,0],minor_tick_out:[d.Number,0]}),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_align:\"center\",major_label_text_baseline:\"middle\",major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}}i.ColorBar=v,v.__name__=\"ColorBar\",v.init_ColorBar()},\n      function _(e,c,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(110);class r extends i.AdaptiveTicker{constructor(e){super(e)}}s.BasicTicker=r,r.__name__=\"BasicTicker\"},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(111),n=t(9),r=a.__importStar(t(18));class _ extends s.ContinuousTicker{constructor(t){super(t)}static init_AdaptiveTicker(){this.define({base:[r.Number,10],mantissas:[r.Array,[1,2,5]],min_interval:[r.Number,0],max_interval:[r.Number]})}initialize(){super.initialize();const t=n.nth(this.mantissas,-1)/this.base,i=n.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,e){const a=i-t,s=this.get_ideal_interval(t,i,e),r=Math.floor(function(t,i=Math.E){return Math.log(t)/Math.log(i)}(s/this.base_factor,this.base)),_=this.base**r*this.base_factor,h=this.extended_mantissas,m=h.map(t=>Math.abs(e-a/(t*_))),o=h[n.argmin(m)];return c=o*_,l=this.get_min_interval(),u=this.get_max_interval(),Math.max(l,Math.min(u,c));var c,l,u}}e.AdaptiveTicker=_,_.__name__=\"AdaptiveTicker\",_.init_AdaptiveTicker()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),r=t(112),s=n.__importStar(t(18)),o=t(9);class _ extends r.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define({num_minor_ticks:[s.Number,5],desired_num_ticks:[s.Number,6]})}get_ticks(t,i,e,n,r){return this.get_ticks_no_defaults(t,i,n,this.desired_num_ticks)}get_ticks_no_defaults(t,i,e,n){const r=this.get_interval(t,i,n),s=Math.floor(t/r),_=Math.ceil(i/r);let c;c=isNaN(s)||isNaN(_)?[]:o.range(s,_+1);const u=c.map(t=>t*r).filter(e=>t<=e&&e<=i),a=this.num_minor_ticks,l=[];if(a>0&&u.length>0){const e=r/a,n=o.range(0,a).map(t=>t*e);for(const e of n.slice(1)){const n=u[0]-e;t<=n&&n<=i&&l.push(n)}for(const e of u)for(const r of n){const n=e+r;t<=n&&n<=i&&l.push(n)}}return{major:u,minor:l}}get_min_interval(){return this.min_interval}get_max_interval(){return null!=this.max_interval?this.max_interval:1/0}get_ideal_interval(t,i,e){return(i-t)/e}}e.ContinuousTicker=_,_.__name__=\"ContinuousTicker\",_.init_ContinuousTicker()},\n      function _(e,c,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(71);class r extends o.Model{constructor(e){super(e)}}n.Ticker=r,r.__name__=\"Ticker\"},\n      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),s=i(114),n=r.__importStar(i(18));class o extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define({precision:[n.Any,\"auto\"],use_scientific:[n.Boolean,!0],power_limit_high:[n.Number,5],power_limit_low:[n.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,r=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const s of i){const i=Math.abs(s);if(!(i<=r)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){const r=new Array(i.length);if(t)for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toExponential(e);else for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toFixed(e).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");return r}_auto_precision(i,t){const e=new Array(i.length),r=this.last_precision<=15;i:for(let s=this.last_precision;r?s<=15:s>=1;r?s++:s--){if(t){e[0]=i[0].toExponential(s);for(let t=1;t<i.length;t++)if(e[t]==e[t-1])continue i;this.last_precision=s;break}e[0]=i[0].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");for(let t=1;t<i.length;t++)if(e[t]=i[t].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"),e[t]==e[t-1])continue i;this.last_precision=s;break}return this.last_precision}doFormat(i,t){if(0==i.length)return[];const e=this._need_sci(i),r=\"auto\"==this.precision?this._auto_precision(i,e):this.precision;return this._format_with_precision(i,e,r)}}e.BasicTickFormatter=o,o.__name__=\"BasicTickFormatter\",o.init_BasicTickFormatter()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class c extends r.Model{constructor(e){super(e)}}o.TickFormatter=c,c.__name__=\"TickFormatter\"},\n      function _(o,n,l){Object.defineProperty(l,\"__esModule\",{value:!0});const e=o(116),t=o(12);class i extends e.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,n,l,e){const{nan_color:i,low_color:r,high_color:s}=e,c=null!=this.low?this.low:t.min(o),h=null!=this.high?this.high:t.max(o),u=l.length-1,a=1/(h-c),_=1/l.length;for(let e=0,t=o.length;e<t;e++){const t=o[e];if(isNaN(t)){n[e]=i;continue}if(t==h){n[e]=l[u];continue}const p=(t-c)*a,f=Math.floor(p/_);n[e]=f<0?null!=r?r:l[0]:f>u?null!=s?s:l[u]:l[f]}}}l.LinearColorMapper=i,i.__name__=\"LinearColorMapper\"},\n      function _(o,r,l){Object.defineProperty(l,\"__esModule\",{value:!0});const i=o(1),t=o(117),e=i.__importStar(o(18));class s extends t.ColorMapper{constructor(o){super(o)}static init_ContinuousColorMapper(){this.define({high:[e.Number],low:[e.Number],high_color:[e.Color],low_color:[e.Color]})}_colors(o){return Object.assign(Object.assign({},super._colors(o)),{low_color:null!=this.low_color?o(this.low_color):void 0,high_color:null!=this.high_color?o(this.high_color):void 0})}}l.ContinuousColorMapper=s,s.__name__=\"ContinuousColorMapper\",s.init_ContinuousColorMapper()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(118),_=n.__importStar(t(18)),i=t(8),l=t(20),c=t(28);function a(t){return i.isNumber(t)?t:(\"#\"!=t[0]&&(t=l.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function s(t){const e=new Uint32Array(t.length);for(let r=0,n=t.length;r<n;r++)e[r]=a(t[r]);return e}function p(t){if(c.is_little_endian){const e=new DataView(t.buffer);for(let r=0,n=t.length;r<n;r++)e.setUint32(4*r,t[r])}return new Uint8Array(t.buffer)}r._convert_color=a,r._convert_palette=s,r._uint32_to_rgba=p;class u extends o.Mapper{constructor(t){super(t)}static init_ColorMapper(){this.define({palette:[_.Any],nan_color:[_.Color,\"gray\"]})}v_compute(t){const e=new Array(t.length);return this._v_compute(t,e,this.palette,this._colors(t=>t)),e}get rgba_mapper(){const t=this,e=s(this.palette),r=this._colors(a);return{v_compute(n){const o=new Uint32Array(n.length);return t._v_compute(n,o,e,r),p(o)}}}_colors(t){return{nan_color:t(this.nan_color)}}}r.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(119);class s extends o.Transform{constructor(e){super(e)}compute(e){throw new Error(\"mapping single values is not supported\")}}n.Mapper=s,s.__name__=\"Mapper\"},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class s extends r.Model{constructor(e){super(e)}}o.Transform=s,s.__name__=\"Transform\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(121);class _ extends r.ContinuousScale{constructor(e){super(e)}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const c=e(122);class s extends c.Scale{constructor(e){super(e)}}o.ContinuousScale=s,s.__name__=\"ContinuousScale\"},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),_=t(123),s=n.__importStar(t(18));class i extends _.Transform{constructor(t){super(t)}static init_Scale(){this.internal({source_range:[s.Any],target_range:[s.Any]})}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=e*t[_]+r;return n}_linear_invert(t){const[e,r]=this._linear_compute_state();return(t-r)/e}_linear_v_invert(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=(t[_]-r)/e;return n}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,r=this.target_range.start,n=(this.target_range.end-r)/(e-t);return[n,-n*t+r]}}r.Scale=i,i.__name__=\"Scale\",i.init_Scale()},\n      function _(r,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=r(124);t.CustomJSTransform=e.CustomJSTransform;var a=r(125);t.Dodge=a.Dodge;var n=r(126);t.Interpolator=n.Interpolator;var p=r(127);t.Jitter=p.Jitter;var l=r(128);t.LinearInterpolator=l.LinearInterpolator;var v=r(129);t.StepInterpolator=v.StepInterpolator;var s=r(119);t.Transform=s.Transform},\n      function _(t,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),e=t(119),a=n.__importStar(t(18)),o=t(17),u=t(24);class i extends e.Transform{constructor(t){super(t)}static init_CustomJSTransform(){this.define({args:[a.Any,{}],func:[a.String,\"\"],v_func:[a.String,\"\"]})}get names(){return o.keys(this.args)}get values(){return o.values(this.args)}_make_transform(t,r){return new Function(...this.names,t,u.use_strict(r))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(t){return this.scalar_transform(...this.values,t)}v_compute(t){return this.vector_transform(...this.values,t)}}s.CustomJSTransform=i,i.__name__=\"CustomJSTransform\",i.init_CustomJSTransform()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(1),o=e(119),i=e(90),s=n.__importStar(e(18)),a=e(8);class c extends o.Transform{constructor(e){super(e)}static init_Dodge(){this.define({value:[s.Number,0],range:[s.Instance]})}v_compute(e){let t;if(this.range instanceof i.FactorRange)t=this.range.v_synthetic(e);else{if(!a.isArrayableOf(e,a.isNumber))throw new Error(\"unexpected\");t=e}const r=new Float64Array(t.length);for(let e=0;e<t.length;e++){const n=t[e];r[e]=this._compute(n)}return r}compute(e){if(this.range instanceof i.FactorRange)return this._compute(this.range.synthetic(e));if(a.isNumber(e))return this._compute(e);throw new Error(\"unexpected\")}_compute(e){return e+this.value}}r.Dodge=c,c.__name__=\"Dodge\",c.init_Dodge()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(119),n=s.__importStar(t(18)),i=t(9),a=t(8);class h extends o.Transform{constructor(t){super(t),this._sorted_dirty=!0}static init_Interpolator(){this.define({x:[n.Any],y:[n.Any],data:[n.Any],clip:[n.Boolean,!0]})}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._sorted_dirty=!0)}v_compute(t){const e=new Float64Array(t.length);for(let r=0;r<t.length;r++){const s=t[r];e[r]=this.compute(s)}return e}sort(t=!1){if(!this._sorted_dirty)return;let e,r;if(a.isString(this.x)&&a.isString(this.y)&&null!=this.data){const t=this.data.columns();if(!i.includes(t,this.x))throw new Error(\"The x parameter does not correspond to a valid column name defined in the data parameter\");if(!i.includes(t,this.y))throw new Error(\"The y parameter does not correspond to a valid column name defined in the data parameter\");e=this.data.get_column(this.x),r=this.data.get_column(this.y)}else{if(!a.isArray(this.x)||!a.isArray(this.y))throw new Error(\"parameters 'x' and 'y' must be both either string fields or arrays\");e=this.x,r=this.y}if(e.length!==r.length)throw new Error(\"The length for x and y do not match\");if(e.length<2)throw new Error(\"x and y must have at least two elements to support interpolation\");const s=[];for(const t in e)s.push({x:e[t],y:r[t]});t?s.sort((t,e)=>t.x>e.x?-1:t.x==e.x?0:1):s.sort((t,e)=>t.x<e.x?-1:t.x==e.x?0:1),this._x_sorted=[],this._y_sorted=[];for(const{x:t,y:e}of s)this._x_sorted.push(t),this._y_sorted.push(e);this._sorted_dirty=!1}}r.Interpolator=h,h.__name__=\"Interpolator\",h.init_Interpolator()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),n=t(119),s=t(90),o=t(8),u=i.__importStar(t(18)),a=i.__importStar(t(10));class h extends n.Transform{constructor(t){super(t)}static init_Jitter(){this.define({mean:[u.Number,0],width:[u.Number,1],distribution:[u.Distribution,\"uniform\"],range:[u.Instance]}),this.internal({previous_values:[u.Array]})}v_compute(t){if(null!=this.previous_values&&this.previous_values.length==t.length)return this.previous_values;let e;if(this.range instanceof s.FactorRange)e=this.range.v_synthetic(t);else{if(!o.isArrayableOf(t,o.isNumber))throw new Error(\"unexpected\");e=t}const r=new Float64Array(e.length);for(let t=0;t<e.length;t++){const i=e[t];r[t]=this._compute(i)}return this.previous_values=r,r}compute(t){if(this.range instanceof s.FactorRange)return this._compute(this.range.synthetic(t));if(o.isNumber(t))return this._compute(t);throw new Error(\"unexpected\")}_compute(t){switch(this.distribution){case\"uniform\":return t+this.mean+(a.random()-.5)*this.width;case\"normal\":return t+a.rnorm(this.mean,this.width)}}}r.Jitter=h,h.__name__=\"Jitter\",h.init_Jitter()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const _=t(9),r=t(126);class o extends r.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=_.find_last_index(this._x_sorted,s=>s<t),e=this._x_sorted[s],r=this._x_sorted[s+1],o=this._y_sorted[s],i=this._y_sorted[s+1];return o+(t-e)/(r-e)*(i-o)}}e.LinearInterpolator=o,o.__name__=\"LinearInterpolator\"},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(126),_=s.__importStar(t(18)),i=t(9);class n extends o.Interpolator{constructor(t){super(t)}static init_StepInterpolator(){this.define({mode:[_.StepMode,\"after\"]})}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=i.find_last_index(this._x_sorted,e=>t>=e);break;case\"before\":e=i.find_index(this._x_sorted,e=>t<=e);break;case\"center\":{const r=this._x_sorted.map(e=>Math.abs(e-t)),s=i.min(r);e=i.find_index(r,t=>s===t);break}default:throw new Error(\"unknown mode: \"+this.mode)}return-1!=e?this._y_sorted[e]:NaN}}r.StepInterpolator=n,n.__name__=\"StepInterpolator\",n.init_StepInterpolator()},\n      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(121);class s extends a.ContinuousScale{constructor(t){super(t)}compute(t){const[e,o,a,s]=this._compute_state();let n;if(0==a)n=0;else{const r=(Math.log(t)-s)/a;n=isFinite(r)?r*e+o:NaN}return n}v_compute(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);if(0==a)for(let e=0;e<t.length;e++)n[e]=0;else for(let r=0;r<t.length;r++){const l=(Math.log(t[r])-s)/a;let c;c=isFinite(l)?l*e+o:NaN,n[r]=c}return n}invert(t){const[e,o,a,s]=this._compute_state(),n=(t-o)/e;return Math.exp(a*n+s)}v_invert(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);for(let r=0;r<t.length;r++){const l=(t[r]-o)/e;n[r]=Math.exp(a*l+s)}return n}_get_safe_factor(t,e){let o=t<0?0:t,a=e<0?0:e;if(o==a)if(0==o)[o,a]=[1,10];else{const t=Math.log(o)/Math.log(10);o=10**Math.floor(t),a=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[o,a]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,o=this.target_range.start,a=this.target_range.end-o,[s,n]=this._get_safe_factor(t,e);let r,l;return 0==s?(r=Math.log(n),l=0):(r=Math.log(n)-Math.log(s),l=Math.log(s)),[a,o,r,l]}}o.LogScale=s,s.__name__=\"LogScale\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(91),r=i.__importStar(t(18));class a extends n.Range{constructor(t){super(t)}static init_Range1d(){this.define({start:[r.Number,0],end:[r.Number,1],reset_start:[r.Number],reset_end:[r.Number]})}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this.reset_start,this.reset_end),e=Math.max(this.reset_start,this.reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),null==this.reset_start&&(this.reset_start=this.start),null==this.reset_end&&(this.reset_end=this.end),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds(),this.start!=this.reset_start||this.end!=this.reset_end?this.setv({start:this.reset_start,end:this.reset_end}):this.change.emit()}}s.Range1d=a,a.__name__=\"Range1d\",a.init_Range1d()},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=t(68),i=new Map;n.measure_font=function(t){const e=i.get(t);if(null!=e)return e;const n=o.span({style:{font:t}},\"Hg\"),l=o.div({style:{display:\"inline-block\",width:\"1px\",height:\"0px\"}}),s=o.div({},n,l);document.body.appendChild(s);try{l.style.verticalAlign=\"baseline\";const e=o.offset(l).top-o.offset(n).top;l.style.verticalAlign=\"bottom\";const d=o.offset(l).top-o.offset(n).top,c={height:d,ascent:e,descent:d-e};return i.set(t,c),c}finally{document.body.removeChild(s)}};const l=new Map;n.measure_text=function(t,e){let n=l.get(e);if(null!=n){const e=n.get(t);if(null!=e)return e}else n=new Map,l.set(e,n);const i=o.div({style:{display:\"inline-block\",\"white-space\":\"nowrap\",font:e}},t);document.body.appendChild(i);try{const{width:e,height:o}=i.getBoundingClientRect();return n.set(t,{width:e,height:o}),{width:e,height:o}}finally{document.body.removeChild(i)}}},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(134),l=e(68),n=s.__importStar(e(23)),o=s.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.warm_cache()}_get_size(){const{ctx:e}=this.layer;this.visuals.text.set_value(e);const{width:t,ascent:i}=e.measureText(this.model.text);return{width:t,height:i}}render(){if(this.model.visible||\"css\"!=this.model.render_mode||l.undisplay(this.el),!this.model.visible)return;let e;switch(this.model.angle_units){case\"rad\":e=-this.model.angle;break;case\"deg\":e=-this.model.angle*Math.PI/180}const t=null!=this.panel?this.panel:this.plot_view.frame,i=this.plot_view.frame.xscales[this.model.x_range_name],s=this.plot_view.frame.yscales[this.model.y_range_name];let a=\"data\"==this.model.x_units?i.compute(this.model.x):t.xview.compute(this.model.x),n=\"data\"==this.model.y_units?s.compute(this.model.y):t.yview.compute(this.model.y);a+=this.model.x_offset,n-=this.model.y_offset,(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,a,n,e)}}i.LabelView=_,_.__name__=\"LabelView\";class r extends a.TextAnnotation{constructor(e){super(e)}static init_Label(){this.prototype.default_view=_,this.mixins([n.Text,[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({x:[o.Number],x_units:[o.SpatialUnits,\"data\"],y:[o.Number],y_units:[o.SpatialUnits,\"data\"],text:[o.String],angle:[o.Angle,0],angle_units:[o.AngleUnits,\"rad\"],x_offset:[o.Number,0],y_offset:[o.Number,0],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}i.Label=r,r.__name__=\"Label\",r.init_Label()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=e(31),a=e(68),n=i.__importStar(e(18)),o=e(132),r=e(11);class _ extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&this.plot_view.canvas_view.add_overlay(this.el)}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,()=>this.render()):this.connect(this.model.change,()=>this.plot_view.request_render())}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=o.measure_font(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let l,a;switch(e.textAlign){case\"left\":l=0;break;case\"center\":l=-s/2;break;case\"right\":l=-s;break;default:r.unreachable()}switch(e.textBaseline){case\"top\":a=0;break;case\"middle\":a=-.5*i;break;case\"bottom\":a=-1*i;break;case\"alphabetic\":a=-.8*i;break;case\"hanging\":a=-.17*i;break;case\"ideographic\":a=-.83*i;break;default:r.unreachable()}return[l,a,s,i]}_canvas_text(e,t,s,i,l){this.visuals.text.set_value(e);const a=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),l&&e.rotate(l),e.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,l){a.undisplay(this.el),this.visuals.text.set_value(e);const n=this._calculate_bounding_box_dimensions(e,t),o=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_value(e),this.visuals.background_fill.set_value(e),this.el.style.position=\"absolute\",this.el.style.left=s+n[0]+\"px\",this.el.style.top=i+n[1]+\"px\",this.el.style.color=\"\"+this.visuals.text.text_color.value(),this.el.style.opacity=\"\"+this.visuals.text.text_alpha.value(),this.el.style.font=\"\"+this.visuals.text.font_value(),this.el.style.lineHeight=\"normal\",l&&(this.el.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(this.el.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(this.el.style.borderStyle=\"\"+o,this.el.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",this.el.style.borderColor=\"\"+this.visuals.border_line.color_value()),this.el.textContent=t,a.display(this.el)}}s.TextAnnotationView=_,_.__name__=\"TextAnnotationView\";class h extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define({render_mode:[n.RenderMode,\"canvas\"]})}}s.TextAnnotation=h,h.__name__=\"TextAnnotation\",h.init_TextAnnotation()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(134),o=t(76),a=i.__importStar(t(23)),n=t(68),r=i.__importStar(t(18));class _ extends l.TextAnnotationView{initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this._text.length;t<e;t++){const t=n.div({style:{display:\"none\"}});this.el.appendChild(t)}}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.render()})):(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}))}set_data(t){super.set_data(t),this.visuals.warm_cache(t)}_map_data(){const t=this.plot_view.frame.xscales[this.model.x_range_name],e=this.plot_view.frame.yscales[this.model.y_range_name],s=null!=this.panel?this.panel:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.yview.v_compute(this._y)]}render(){if(this.model.visible||\"css\"!=this.model.render_mode||n.undisplay(this.el),!this.model.visible)return;const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer,[s,i]=this._map_data();for(let l=0,o=this._text.length;l<o;l++)t(e,l,this._text[l],s[l]+this._x_offset[l],i[l]-this._y_offset[l],this._angle[l])}_get_size(){const{ctx:t}=this.layer;this.visuals.text.set_value(t);const{width:e,ascent:s}=t.measureText(this._text[0]);return{width:e,height:s}}_v_canvas_text(t,e,s,i,l,o){this.visuals.text.set_vectorize(t,e);const a=this._calculate_bounding_box_dimensions(t,s);t.save(),t.beginPath(),t.translate(i,l),t.rotate(o),t.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),t.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),t.stroke()),this.visuals.text.doit&&(this.visuals.text.set_vectorize(t,e),t.fillText(s,0,0)),t.restore()}_v_css_text(t,e,s,i,l,o){const a=this.el.children[e];a.textContent=s,this.visuals.text.set_vectorize(t,e);const r=this._calculate_bounding_box_dimensions(t,s),_=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_vectorize(t,e),this.visuals.background_fill.set_vectorize(t,e),a.style.position=\"absolute\",a.style.left=i+r[0]+\"px\",a.style.top=l+r[1]+\"px\",a.style.color=\"\"+this.visuals.text.text_color.value(),a.style.opacity=\"\"+this.visuals.text.text_alpha.value(),a.style.font=\"\"+this.visuals.text.font_value(),a.style.lineHeight=\"normal\",o&&(a.style.transform=`rotate(${o}rad)`),this.visuals.background_fill.doit&&(a.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(a.style.borderStyle=\"\"+_,a.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",a.style.borderColor=\"\"+this.visuals.border_line.color_value()),n.display(a)}}s.LabelSetView=_,_.__name__=\"LabelSetView\";class h extends l.TextAnnotation{constructor(t){super(t)}static init_LabelSet(){this.prototype.default_view=_,this.mixins([a.TextVector,[\"border_\",a.LineVector],[\"background_\",a.FillVector]]),this.define({x:[r.NumberSpec],y:[r.NumberSpec],x_units:[r.SpatialUnits,\"data\"],y_units:[r.SpatialUnits,\"data\"],text:[r.StringSpec,{field:\"text\"}],angle:[r.AngleSpec,0],x_offset:[r.NumberSpec,{value:0}],y_offset:[r.NumberSpec,{value:0}],source:[r.Instance,()=>new o.ColumnDataSource],x_range_name:[r.String,\"default\"],y_range_name:[r.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=h,h.__name__=\"LabelSet\",h.init_LabelSet()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(31),n=s.__importStar(t(23)),h=s.__importStar(t(18)),a=t(14),o=t(132),_=t(88),r=t(9),d=t(8),c=t(11);class g extends l.AnnotationView{cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.visuals.border_line.line_color.value()?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.item_change,()=>this.plot_view.request_render())}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:s,label_width:l}=this.model;this.max_label_height=r.max([o.measure_font(this.visuals.label_text.font_value()).height,s,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,r.max([n.measureText(e).width,l]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?o.measure_font(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const h=Math.max(r.max([...this.text_widths.values()]),0),a=this.model.margin,{legend_padding:g}=this,m=this.model.spacing,{label_standoff:b}=this.model;let u,f;if(\"vertical\"==this.model.orientation)u=t.length*this.max_label_height+Math.max(t.length-1,0)*m+2*g+this.title_height,f=r.max([h+i+b+2*g,this.title_width+2*g]);else{let e=2*g+Math.max(t.length-1,0)*m;for(const[,t]of this.text_widths)e+=r.max([t,l])+i+b;f=r.max([this.title_width+2*g,e]),u=this.max_label_height+this.title_height+2*g}const x=null!=this.panel?this.panel:this.plot_view.frame,[p,v]=x.bbox.ranges,{location:w}=this.model;let y,k;if(d.isString(w))switch(w){case\"top_left\":y=p.start+a,k=v.start+a;break;case\"top_center\":y=(p.end+p.start)/2-f/2,k=v.start+a;break;case\"top_right\":y=p.end-a-f,k=v.start+a;break;case\"bottom_right\":y=p.end-a-f,k=v.end-a-u;break;case\"bottom_center\":y=(p.end+p.start)/2-f/2,k=v.end-a-u;break;case\"bottom_left\":y=p.start+a,k=v.end-a-u;break;case\"center_left\":y=p.start+a,k=(v.end+v.start)/2-u/2;break;case\"center\":y=(p.end+p.start)/2-f/2,k=(v.end+v.start)/2-u/2;break;case\"center_right\":y=p.end-a-f,k=(v.end+v.start)/2-u/2}else if(d.isArray(w)&&2==w.length){const[t,e]=w;y=x.xview.compute(t),k=x.yview.compute(e)-u}else c.unreachable();return new _.BBox({left:y,top:k,width:f,height:u})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=i=l;const o=this.compute_legend_bbox(),r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop();for(const g of c){const c=o.x+a,m=o.y+i+this.title_height;let b,u;if([b,u]=r?[o.width-2*l,this.max_label_height]:[this.text_widths.get(g)+s+h,this.max_label_height],new _.BBox({left:c,top:m,width:b,height:u}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of d.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of d.renderers)t.muted=!t.muted}return!0}r?i+=this.max_label_height+n:a+=this.text_widths.get(g)+s+h+n}}return!1}render(){if(!this.model.visible)return;if(0==this.model.items.length)return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this.model.title&&this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=l,o=l;const _=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop(),g=d.get_field_from_label_prop();if(0==c.length)continue;const m=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return r.every(d.renderers,t=>t.visible);case\"mute\":return r.every(d.renderers,t=>!t.muted)}})();for(const r of c){const c=e.x+a,b=e.y+o+this.title_height,u=c+i,f=b+s;_?o+=this.max_label_height+n:a+=this.text_widths.get(r)+i+h+n,this.visuals.label_text.set_value(t),t.fillText(r,u+h,b+this.max_label_height/2);for(const e of d.renderers){this.plot_view.renderer_views.get(e).draw_legend(t,c,u,b,f,g,r,d.index)}if(!m){let s,n;[s,n]=_?[e.width-2*l,this.max_label_height]:[this.text_widths.get(r)+i+h,this.max_label_height],t.beginPath(),t.rect(c,b,s,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(this.model.title,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=g,g.__name__=\"LegendView\";class m extends l.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new a.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=g,this.mixins([[\"label_\",n.Text],[\"title_\",n.Text],[\"inactive_\",n.Fill],[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({orientation:[h.Orientation,\"vertical\"],location:[h.Any,\"top_right\"],title:[h.String],title_standoff:[h.Number,5],label_standoff:[h.Number,5],glyph_height:[h.Number,20],glyph_width:[h.Number,20],label_height:[h.Number,20],label_width:[h.Number,20],margin:[h.Number,10],padding:[h.Number,10],spacing:[h.Number,3],items:[h.Array,[]],click_policy:[h.Any,\"none\"]}),this.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=m,m.__name__=\"Legend\",m.init_Legend()},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),l=e(71),i=e(77),s=e(138),_=t.__importStar(e(18)),o=e(72),a=e(9);class u extends l.Model{constructor(e){super(e)}static init_LegendItem(){this.define({label:[_.StringSpec,null],renderers:[_.Array,[]],index:[_.Number,null]})}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!a.includes(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,()=>{null!=this.legend&&this.legend.item_change.emit()}),this._check_data_sources_on_renderers()||o.logger.error(\"Non matching data sources on legend item renderers\"),this._check_field_label_on_data_source()||o.logger.error(\"Bad column name on label: \"+this.label)}get_field_from_label_prop(){const{label:e}=this;return s.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(s.isValue(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof i.ColumnarDataSource){const n=r.get_column(e);return null!=n?a.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=u,u.__name__=\"LegendItem\",u.init_LegendItem()},\n      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(8);n.isValue=function(e){return t.isPlainObject(e)&&\"value\"in e},n.isField=function(e){return t.isPlainObject(e)&&\"field\"in e}},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(31),l=n.__importStar(t(23)),o=t(14),a=n.__importStar(t(18));class r extends s.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render())}render(){if(!this.model.visible)return;const{xs:t,ys:e}=this.model;if(t.length!=e.length)return;if(t.length<3||e.length<3)return;const{frame:i}=this.plot_view,{ctx:n}=this.layer;for(let s=0,l=t.length;s<l;s++){let l,o;if(\"screen\"!=this.model.xs_units)throw new Error(\"not implemented\");if(l=this.model.screen?t[s]:i.xview.compute(t[s]),\"screen\"!=this.model.ys_units)throw new Error(\"not implemented\");o=this.model.screen?e[s]:i.yview.compute(e[s]),0==s?(n.beginPath(),n.moveTo(l,o)):n.lineTo(l,o)}n.closePath(),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill())}}i.PolyAnnotationView=r,r.__name__=\"PolyAnnotationView\";class _ extends s.Annotation{constructor(t){super(t)}static init_PolyAnnotation(){this.prototype.default_view=r,this.mixins([l.Line,l.Fill]),this.define({xs:[a.Array,[]],xs_units:[a.SpatialUnits,\"data\"],ys:[a.Array,[]],ys_units:[a.SpatialUnits,\"data\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.internal({screen:[a.Boolean,!1]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({xs:t,ys:e}){this.setv({xs:t,ys:e,screen:!0},{silent:!0}),this.data_update.emit()}}i.PolyAnnotation=_,_.__name__=\"PolyAnnotation\",_.init_PolyAnnotation()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(31),l=n.__importStar(e(23)),o=n.__importStar(e(18));class r extends s.AnnotationView{initialize(){super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render())}render(){this.model.visible&&this._draw_slope()}_draw_slope(){const e=this.model.gradient,t=this.model.y_intercept;if(null==e||null==t)return;const{frame:i}=this.plot_view,n=i.xscales[this.model.x_range_name],s=i.yscales[this.model.y_range_name],l=i._top.value,o=l+i._height.value,r=(s.invert(l)-t)/e,a=(s.invert(o)-t)/e,_=n.compute(r),c=n.compute(a),{ctx:u}=this.layer;u.save(),u.beginPath(),this.visuals.line.set_value(u),u.moveTo(_,l),u.lineTo(c,o),u.stroke(),u.restore()}}i.SlopeView=r,r.__name__=\"SlopeView\";class a extends s.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=r,this.mixins(l.Line),this.define({gradient:[o.Number,null],y_intercept:[o.Number,null],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({line_color:\"black\"})}}i.Slope=a,a.__name__=\"Slope\",a.init_Slope()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),o=e(31),s=n.__importStar(e(23)),a=n.__importStar(e(18));class l extends o.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],n=t.yscales[this.model.y_range_name],o=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,a,l,r;\"width\"==this.model.dimension?(l=o(n,t.yview),a=t._left.value,r=t._width.value,s=this.model.properties.line_width.value()):(l=t._top.value,a=o(i,t.xview),r=this.model.properties.line_width.value(),s=t._height.value);const{ctx:_}=this.layer;_.save(),_.beginPath(),this.visuals.line.set_value(_),_.moveTo(a,l),\"width\"==this.model.dimension?_.lineTo(a+r,l):_.lineTo(a,l+s),_.stroke(),_.restore()}}i.SpanView=l,l.__name__=\"SpanView\";class r extends o.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=l,this.mixins(s.Line),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],location:[a.Number,null],location_units:[a.SpatialUnits,\"data\"],dimension:[a.Dimension,\"width\"]}),this.override({line_color:\"black\"}),this.internal({for_hover:[a.Boolean,!1]})}}i.Span=r,r.__name__=\"Span\",r.init_Span()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1),a=e(134),s=e(68),n=e(70),o=l.__importStar(e(23)),r=l.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.text=new n.Text(this.model)}_get_location(){const e=this.panel,t=this.model.offset;let i,l;switch(e.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":l=e._top.value+5;break;case\"middle\":l=e._vcenter.value;break;case\"bottom\":l=e._bottom.value-5}switch(this.model.align){case\"left\":i=e._left.value+t;break;case\"center\":i=e._hcenter.value;break;case\"right\":i=e._right.value-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=e._left.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._right.value+5}switch(this.model.align){case\"left\":l=e._bottom.value-t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._top.value+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=e._right.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._left.value+5}switch(this.model.align){case\"left\":l=e._top.value+t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._bottom.value-t}}return[i,l]}render(){if(!this.model.visible)return void(\"css\"==this.model.render_mode&&s.undisplay(this.el));const{text:e}=this.model;if(null==e||0==e.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[t,i]=this._get_location(),l=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,e,t,i,l)}_get_size(){const{text:e}=this.model;if(null==e||0==e.length)return{width:0,height:0};{this.visuals.text.set_value(this.layer.ctx);const{width:t,ascent:i}=this.layer.ctx.measureText(e);return{width:t,height:i*this.visuals.text.text_line_height.value()+10}}}}i.TitleView=_,_.__name__=\"TitleView\";class c extends a.TextAnnotation{constructor(e){super(e)}static init_Title(){this.prototype.default_view=_,this.mixins([[\"border_\",o.Line],[\"background_\",o.Fill]]),this.define({text:[r.String],text_font:[r.Font,\"helvetica\"],text_font_size:[r.StringSpec,\"13px\"],text_font_style:[r.FontStyle,\"bold\"],text_color:[r.ColorSpec,\"#444444\"],text_alpha:[r.NumberSpec,1],text_line_height:[r.Number,1],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[r.Number,0]}),this.override({background_fill_color:null,border_line_color:null}),this.internal({text_align:[r.TextAlign,\"left\"],text_baseline:[r.TextBaseline,\"bottom\"]})}}i.Title=c,c.__name__=\"Title\",c.init_Title()},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(31),s=e(99),a=e(68),n=o.__importStar(e(18));class r extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){this._toolbar_view=await s.build_view(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push(e=>this._toolbar_view.set_visibility(e))}remove(){this._toolbar_view.remove(),super.remove()}render(){super.render(),this.model.visible?(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",a.position(this.el,this.panel.bbox),this._toolbar_view.render(),a.empty(this.el),this.el.appendChild(this._toolbar_view.el),a.display(this.el)):a.undisplay(this.el)}_get_size(){const{tools:e,logo:i}=this.model.toolbar;return{width:30*e.length+(null!=i?25:0),height:30}}}t.ToolbarPanelView=r,r.__name__=\"ToolbarPanelView\";class _ extends l.Annotation{constructor(e){super(e)}static init_ToolbarPanel(){this.prototype.default_view=r,this.define({toolbar:[n.Instance]})}}t.ToolbarPanel=_,_.__name__=\"ToolbarPanel\",_.init_ToolbarPanel()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(31),o=t(68),a=i.__importStar(t(18)),h=t(145),n=t(146),r=i.__importDefault(t(147));function c(t,e,s,i,l){switch(t){case\"horizontal\":return e<i?\"right\":\"left\";case\"vertical\":return s<l?\"below\":\"above\";default:return t}}s.compute_side=c;class d extends l.AnnotationView{initialize(){super.initialize(),this.plot_view.canvas_view.add_overlay(this.el),o.undisplay(this.el)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>this._draw_tips())}styles(){return[...super.styles(),r.default]}css_classes(){return super.css_classes().concat(h.bk_tooltip)}render(){this.model.visible&&this._draw_tips()}_draw_tips(){const{data:t}=this.model;if(o.empty(this.el),o.undisplay(this.el),this.model.custom?this.el.classList.add(h.bk_tooltip_custom):this.el.classList.remove(h.bk_tooltip_custom),0==t.length)return;const{frame:e}=this.plot_view;for(const[s,i,l]of t){if(this.model.inner_only&&!e.bbox.contains(s,i))continue;const t=o.div({},l);this.el.appendChild(t)}const[s,i]=t[t.length-1],l=c(this.model.attachment,s,i,e._hcenter.value,e._vcenter.value);this.el.classList.remove(n.bk_right),this.el.classList.remove(n.bk_left),this.el.classList.remove(n.bk_above),this.el.classList.remove(n.bk_below);let a;o.display(this.el);let r=0,d=0;switch(l){case\"right\":this.el.classList.add(n.bk_left),r=s+(this.el.offsetWidth-this.el.clientWidth)+10,a=i-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(n.bk_right),d=this.plot_view.layout.bbox.width-s+10,a=i-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(n.bk_above),a=i+(this.el.offsetHeight-this.el.clientHeight)+10,r=Math.round(s-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(n.bk_below),a=i-this.el.offsetHeight-10,r=Math.round(s-this.el.offsetWidth/2)}this.model.show_arrow&&this.el.classList.add(h.bk_tooltip_arrow),this.el.childNodes.length>0?(this.el.style.top=a+\"px\",this.el.style.left=r?r+\"px\":\"auto\",this.el.style.right=d?d+\"px\":\"auto\"):o.undisplay(this.el)}}s.TooltipView=d,d.__name__=\"TooltipView\";class _ extends l.Annotation{constructor(t){super(t)}static init_Tooltip(){this.prototype.default_view=d,this.define({attachment:[a.TooltipAttachment,\"horizontal\"],inner_only:[a.Boolean,!0],show_arrow:[a.Boolean,!0]}),this.override({level:\"overlay\"}),this.internal({data:[a.Any,[]],custom:[a.Any]})}clear(){this.data=[]}add(t,e,s){this.data=this.data.concat([[t,e,s]])}}s.Tooltip=_,_.__name__=\"Tooltip\",_.init_Tooltip()},\n      function _(o,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tooltip=\"bk-tooltip\",l.bk_tooltip_arrow=\"bk-tooltip-arrow\",l.bk_tooltip_custom=\"bk-tooltip-custom\",l.bk_tooltip_row_label=\"bk-tooltip-row-label\",l.bk_tooltip_row_value=\"bk-tooltip-row-value\",l.bk_tooltip_color_block=\"bk-tooltip-color-block\"},\n      function _(e,b,k){Object.defineProperty(k,\"__esModule\",{value:!0}),k.bk_active=\"bk-active\",k.bk_inline=\"bk-inline\",k.bk_left=\"bk-left\",k.bk_right=\"bk-right\",k.bk_above=\"bk-above\",k.bk_below=\"bk-below\",k.bk_up=\"bk-up\",k.bk_down=\"bk-down\",k.bk_side=function(e){switch(e){case\"above\":return k.bk_above;case\"below\":return k.bk_below;case\"left\":return k.bk_left;case\"right\":return k.bk_right}}},\n      function _(o,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root {\\n  /* Same border color used everywhere */\\n  /* Gray of icons */\\n}\\n.bk-root .bk-tooltip {\\n  font-weight: 300;\\n  font-size: 12px;\\n  position: absolute;\\n  padding: 5px;\\n  border: 1px solid #e5e5e5;\\n  color: #2f2f2f;\\n  background-color: white;\\n  pointer-events: none;\\n  opacity: 0.95;\\n  z-index: 100;\\n}\\n.bk-root .bk-tooltip > div:not(:first-child) {\\n  /* gives space when multiple elements are being hovered over */\\n  margin-top: 5px;\\n  border-top: #e5e5e5 1px dashed;\\n}\\n.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-left::before {\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right::after {\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-above::before {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  top: -10px;\\n  border-bottom-width: 10px;\\n  border-bottom-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-below::after {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  bottom: -10px;\\n  border-top-width: 10px;\\n  border-top-color: #909599;\\n}\\n.bk-root .bk-tooltip-row-label {\\n  text-align: right;\\n  color: #26aae1;\\n  /* blue from toolbar highlighting */\\n}\\n.bk-root .bk-tooltip-row-value {\\n  color: default;\\n  /* seems to be necessary for notebook */\\n}\\n.bk-root .bk-tooltip-color-block {\\n  width: 12px;\\n  height: 12px;\\n  margin-left: 5px;\\n  margin-right: 5px;\\n  outline: #dddddd solid 1px;\\n  display: inline-block;\\n}\\n'},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(31),o=e(76),a=e(75),n=e(23),h=i.__importStar(e(18));class _ extends r.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],r=\"height\"==t?i:s,o=\"height\"==t?s:i,a=\"height\"==t?e.yview:e.xview,n=\"height\"==t?e.xview:e.yview;let h,_,l;h=\"data\"==this.model.properties.lower.units?r.v_compute(this._lower):a.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?r.v_compute(this._upper):a.v_compute(this._upper),l=\"data\"==this.model.properties.base.units?o.v_compute(this._base):n.v_compute(this._base);const[d,p]=\"height\"==t?[1,0]:[0,1],c=[h,l],u=[_,l];this._lower_sx=c[d],this._lower_sy=c[p],this._upper_sx=u[d],this._upper_sy=u[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;t<s;t++)this.visuals.line.set_vectorize(e,t),e.beginPath(),e.moveTo(this._lower_sx[t],this._lower_sy[t]),e.lineTo(this._upper_sx[t],this._upper_sy[t]),e.stroke();const t=\"height\"==this.model.dimension?0:Math.PI/2;if(null!=this.model.lower_head)for(let s=0,i=this._lower_sx.length;s<i;s++)e.save(),e.translate(this._lower_sx[s],this._lower_sy[s]),e.rotate(t+Math.PI),this.model.lower_head.render(e,s),e.restore();if(null!=this.model.upper_head)for(let s=0,i=this._upper_sx.length;s<i;s++)e.save(),e.translate(this._upper_sx[s],this._upper_sy[s]),e.rotate(t),this.model.upper_head.render(e,s),e.restore()}}s.WhiskerView=_,_.__name__=\"WhiskerView\";class l extends r.Annotation{constructor(e){super(e)}static init_Whisker(){this.prototype.default_view=_,this.mixins(n.LineVector),this.define({lower:[h.DistanceSpec],lower_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],upper:[h.DistanceSpec],upper_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],base:[h.DistanceSpec],dimension:[h.Dimension,\"height\"],source:[h.Instance,()=>new o.ColumnDataSource],x_range_name:[h.String,\"default\"],y_range_name:[h.String,\"default\"]}),this.override({level:\"underlay\"})}}s.Whisker=l,l.__name__=\"Whisker\",l.init_Whisker()},\n      function _(i,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});var r=i(150);e.Axis=r.Axis;var s=i(152);e.CategoricalAxis=s.CategoricalAxis;var x=i(155);e.ContinuousAxis=x.ContinuousAxis;var A=i(156);e.DatetimeAxis=A.DatetimeAxis;var o=i(157);e.LinearAxis=o.LinearAxis;var t=i(170);e.LogAxis=t.LogAxis;var n=i(173);e.MercatorAxis=n.MercatorAxis},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(151),l=s.__importStar(e(23)),n=s.__importStar(e(18)),o=e(9),r=e(8),_=e(90),{abs:h,min:c,max:m}=Math;class d extends a.GuideRendererView{constructor(){super(...arguments),this.rotate=!0}get panel(){return this.layout}render(){if(!this.model.visible)return;const e={tick:this._tick_extent(),tick_label:this._tick_label_extents(),axis_label:this._axis_label_extent()},t=this.tick_coords,i=this.layer.ctx;i.save(),this._draw_rule(i,e),this._draw_major_ticks(i,e,t),this._draw_minor_ticks(i,e,t),this._draw_major_labels(i,e,t),this._draw_axis_label(i,e,t),null!=this._render&&this._render(i,e,t),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint());const e=this.model.properties;this.on_change(e.visible,()=>this.plot_view.request_layout())}get_size(){if(this.model.visible&&null==this.model.fixed_location){const e=this._get_size();return{width:0,height:Math.round(e)}}return{width:0,height:0}}_get_size(){return this._tick_extent()+this._tick_label_extent()+this._axis_label_extent()}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(e,t){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,l]=this.plot_view.map_to_screen(i,s,this.model.x_range_name,this.model.y_range_name),[n,o]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(e),e.beginPath(),e.moveTo(Math.round(a[0]+n*r),Math.round(l[0]+o*_));for(let t=1;t<a.length;t++){const i=Math.round(a[t]+n*r),s=Math.round(l[t]+o*_);e.lineTo(i,s)}e.stroke()}_draw_major_ticks(e,t,i){const s=this.model.major_tick_in,a=this.model.major_tick_out,l=this.visuals.major_tick_line;this._draw_ticks(e,i.major,s,a,l)}_draw_minor_ticks(e,t,i){const s=this.model.minor_tick_in,a=this.model.minor_tick_out,l=this.visuals.minor_tick_line;this._draw_ticks(e,i.minor,s,a,l)}_draw_major_labels(e,t,i){const s=i.major,a=this.compute_labels(s[this.dimension]),l=this.model.major_label_orientation,n=t.tick+this.model.major_label_standoff,o=this.visuals.major_label_text;this._draw_oriented_labels(e,a,s,l,this.panel.side,n,o)}_draw_axis_label(e,t,i){if(null==this.model.axis_label||0==this.model.axis_label.length||null!=this.model.fixed_location)return;let s,a;switch(this.panel.side){case\"above\":s=this.panel._hcenter.value,a=this.panel._bottom.value;break;case\"below\":s=this.panel._hcenter.value,a=this.panel._top.value;break;case\"left\":s=this.panel._right.value,a=this.panel._vcenter.value;break;case\"right\":s=this.panel._left.value,a=this.panel._vcenter.value;break;default:throw new Error(\"unknown side: \"+this.panel.side)}const l=[[s],[a]],n=t.tick+o.sum(t.tick_label)+this.model.axis_label_standoff,r=this.visuals.axis_label_text;this._draw_oriented_labels(e,[this.model.axis_label],l,\"parallel\",this.panel.side,n,r,\"screen\")}_draw_ticks(e,t,i,s,a){if(!a.doit)return;const[l,n]=t,[o,r]=this.plot_view.map_to_screen(l,n,this.model.x_range_name,this.model.y_range_name),[_,h]=this.normals,[c,m]=this.offsets,[d,u]=[_*(c-i),h*(m-i)],[b,x]=[_*(c+s),h*(m+s)];a.set_value(e);for(let t=0;t<o.length;t++){const i=Math.round(o[t]+b),s=Math.round(r[t]+x),a=Math.round(o[t]+d),l=Math.round(r[t]+u);e.beginPath(),e.moveTo(i,s),e.lineTo(a,l),e.stroke()}}_draw_oriented_labels(e,t,i,s,a,l,n,o=\"data\"){if(!n.doit||0==t.length)return;let _,h,c,m;if(\"screen\"==o)[_,h]=i,[c,m]=[0,0];else{const[e,t]=i;[_,h]=this.plot_view.map_to_screen(e,t,this.model.x_range_name,this.model.y_range_name),[c,m]=this.offsets}const[d,u]=this.normals,b=d*(c+l),x=u*(m+l);let f;n.set_value(e),this.panel.apply_label_text_heuristics(e,s),f=r.isString(s)?this.panel.get_label_angle_heuristic(s):-s;for(let i=0;i<_.length;i++){const s=Math.round(_[i]+b),a=Math.round(h[i]+x);e.translate(s,a),e.rotate(f),e.fillText(t[i],0,0),e.rotate(-f),e.translate(-s,-a)}}_axis_label_extent(){if(null==this.model.axis_label||\"\"==this.model.axis_label)return 0;const e=this.model.axis_label_standoff,t=this.visuals.axis_label_text;return this._oriented_labels_extent([this.model.axis_label],\"parallel\",this.panel.side,e,t)}_tick_extent(){return this.model.major_tick_out}_tick_label_extent(){return o.sum(this._tick_label_extents())}_tick_label_extents(){const e=this.tick_coords.major,t=this.compute_labels(e[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(t,i,this.panel.side,s,a)]}_oriented_labels_extent(e,t,i,s,a){if(0==e.length)return 0;const l=this.layer.ctx;let n,o;a.set_value(l),r.isString(t)?(n=1,o=this.panel.get_label_angle_heuristic(t)):(n=2,o=-t),o=Math.abs(o);const _=Math.cos(o),h=Math.sin(o);let c=0;for(let t=0;t<e.length;t++){const s=1.1*l.measureText(e[t]).width,a=.9*l.measureText(e[t]).ascent;let o;o=\"above\"==i||\"below\"==i?s*h+a/n*_:s*_+a/n*h,o>c&&(c=o)}return c>0&&(c+=s),c}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(e){const t=this.model.formatter.doFormat(e,this);for(let i=0;i<e.length;i++)e[i]in this.model.major_label_overrides&&(t[i]=this.model.major_label_overrides[e[i]]);return t}get offsets(){if(null!=this.model.fixed_location)return[0,0];const{frame:e}=this.plot_view;let[t,i]=[0,0];switch(this.panel.side){case\"below\":i=h(this.panel._top.value-e._bottom.value);break;case\"above\":i=h(this.panel._bottom.value-e._top.value);break;case\"right\":t=h(this.panel._left.value-e._right.value);break;case\"left\":t=h(this.panel._right.value-e._left.value)}return[t,i]}get ranges(){const e=this.dimension,t=(e+1)%2,{frame:i}=this.plot_view,s=[i.x_ranges[this.model.x_range_name],i.y_ranges[this.model.y_range_name]];return[s[e],s[t]]}get computed_bounds(){const[e]=this.ranges,t=this.model.bounds,i=[e.min,e.max];if(\"auto\"==t)return[e.min,e.max];if(r.isArray(t)){let e,s;const[a,l]=t,[n,o]=i;return h(a-l)>h(n-o)?(e=m(c(a,l),n),s=c(m(a,l),o)):(e=c(a,l),s=m(a,l)),[e,s]}throw new Error(`user bounds '${t}' not understood`)}get rule_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=[new Array(2),new Array(2)];return l[e][0]=Math.max(s,i.min),l[e][1]=Math.min(a,i.max),l[e][0]>l[e][1]&&(l[e][0]=l[e][1]=NaN),l[t][0]=this.loc,l[t][1]=this.loc,l}get tick_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=this.model.ticker.get_ticks(s,a,i,this.loc,{}),n=l.major,o=l.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;i<n.length;i++)n[i]<h||n[i]>c||(r[e].push(n[i]),r[t].push(this.loc));for(let i=0;i<o.length;i++)o[i]<h||o[i]>c||(_[e].push(o[i]),_[t].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:e}=this.model;if(null!=e){if(r.isNumber(e))return e;const[,t]=this.ranges;if(t instanceof _.FactorRange)return t.synthetic(e);throw new Error(\"unexpected\")}const[,t]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return t.start;case\"right\":case\"above\":return t.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}}i.AxisView=d,d.__name__=\"AxisView\";class u extends a.GuideRenderer{constructor(e){super(e)}static init_Axis(){this.prototype.default_view=d,this.mixins([[\"axis_\",l.Line],[\"major_tick_\",l.Line],[\"minor_tick_\",l.Line],[\"major_label_\",l.Text],[\"axis_label_\",l.Text]]),this.define({bounds:[n.Any,\"auto\"],ticker:[n.Instance],formatter:[n.Instance],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"],axis_label:[n.String,\"\"],axis_label_standoff:[n.Int,5],major_label_standoff:[n.Int,5],major_label_orientation:[n.Any,\"horizontal\"],major_label_overrides:[n.Any,{}],major_tick_in:[n.Number,2],major_tick_out:[n.Number,6],minor_tick_in:[n.Number,0],minor_tick_out:[n.Number,4],fixed_location:[n.Any,null]}),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})}}i.Axis=u,u.__name__=\"Axis\",u.init_Axis()},\n      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});const i=e(65);class n extends i.RendererView{}d.GuideRendererView=n,n.__name__=\"GuideRendererView\";class t extends i.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"guide\"})}}d.GuideRenderer=t,t.__name__=\"GuideRenderer\",t.init_GuideRenderer()},\n      function _(t,s,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),i=t(150),r=t(153),a=t(154),l=e.__importStar(t(23)),_=e.__importStar(t(18));class n extends i.AxisView{_render(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;t<e.tops.length-1;t++){let s,o;for(let i=n;i<e.factors.length;i++)if(e.factors[i][0]==e.tops[t+1]){[s,o]=[e.factors[i-1],e.factors[i]],n=i;break}const h=(e.synthetic(s)+e.synthetic(o))/2;h>i&&h<r&&(_[a].push(h),_[l].push(this.loc))}const h=this._tick_label_extent();this._draw_ticks(t,_,-3,h-6,this.visuals.separator_line)}_draw_major_labels(t,s,o){const e=this._get_factor_info();let i=s.tick+this.model.major_label_standoff;for(let o=0;o<e.length;o++){const[r,a,l,_]=e[o];this._draw_oriented_labels(t,r,a,l,this.panel.side,i,_),i+=s.tick_label[o]}}_tick_label_extents(){const t=this._get_factor_info(),s=[];for(const[o,,e,i]of t){const t=this._oriented_labels_extent(o,e,this.panel.side,this.model.major_label_standoff,i);s.push(t)}return s}_get_factor_info(){const[t]=this.ranges,[s,o]=this.computed_bounds,e=this.loc,i=this.model.ticker.get_ticks(s,o,t,e,{}),r=this.tick_coords,a=[];if(1==t.levels){const t=i.major,s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=i.major.map(t=>t[1]),s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=i.major.map(t=>t[2]),s=this.model.formatter.doFormat(t,this),o=i.mids.map(t=>t[1]);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([o,r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc,{}),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map(t=>this.loc),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map(t=>this.loc)),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map(t=>this.loc)),a}}o.CategoricalAxisView=n,n.__name__=\"CategoricalAxisView\";class h extends i.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=n,this.mixins([[\"separator_\",l.Line],[\"group_\",l.Text],[\"subgroup_\",l.Text]]),this.define({group_label_orientation:[_.Any,\"parallel\"],subgroup_label_orientation:[_.Any,\"parallel\"]}),this.override({ticker:()=>new r.CategoricalTicker,formatter:()=>new a.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})}}o.CategoricalAxis=h,h.__name__=\"CategoricalAxis\",h.init_CategoricalAxis()},\n      function _(t,c,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(112);class s extends o.Ticker{constructor(t){super(t)}get_ticks(t,c,e,o,s){return{major:this._collect(e.factors,e,t,c),minor:[],tops:this._collect(e.tops||[],e,t,c),mids:this._collect(e.mids||[],e,t,c)}}_collect(t,c,e,o){const s=[];for(const r of t){const t=c.synthetic(r);t>e&&t<o&&s.push(r)}return s}}e.CategoricalTicker=s,s.__name__=\"CategoricalTicker\"},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(114),c=e(9);class a extends o.TickFormatter{constructor(e){super(e)}doFormat(e,t){return c.copy(e)}}r.CategoricalTickFormatter=a,a.__name__=\"CategoricalTickFormatter\"},\n      function _(s,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=s(150);class t extends o.Axis{constructor(s){super(s)}}n.ContinuousAxis=t,t.__name__=\"ContinuousAxis\"},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(157),a=e(158),r=e(163);class n extends s.LinearAxisView{}i.DatetimeAxisView=n,n.__name__=\"DatetimeAxisView\";class _ extends s.LinearAxis{constructor(e){super(e)}static init_DatetimeAxis(){this.prototype.default_view=n,this.override({ticker:()=>new r.DatetimeTicker,formatter:()=>new a.DatetimeTickFormatter})}}i.DatetimeAxis=_,_.__name__=\"DatetimeAxis\",_.init_DatetimeAxis()},\n      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(150),n=e(155),r=e(113),a=e(109);class _ extends t.AxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class c extends n.ContinuousAxis{constructor(e){super(e)}static init_LinearAxis(){this.prototype.default_view=_,this.override({ticker:()=>new a.BasicTicker,formatter:()=>new r.BasicTickFormatter})}}s.LinearAxis=c,c.__name__=\"LinearAxis\",c.init_LinearAxis()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),i=r.__importDefault(t(159)),n=t(114),o=t(72),a=r.__importStar(t(18)),c=t(160),m=t(9),u=t(8);function h(t){return i.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map(t=>parseInt(t,10))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:i.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends n.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static init_DatetimeTickFormatter(){this.define({microseconds:[a.Array,[\"%fus\"]],milliseconds:[a.Array,[\"%3Nms\",\"%S.%3Ns\"]],seconds:[a.Array,[\"%Ss\"]],minsec:[a.Array,[\":%M:%S\"]],minutes:[a.Array,[\":%M\",\"%Mm\"]],hourmin:[a.Array,[\"%H:%M\"]],hours:[a.Array,[\"%Hh\",\"%H:%M\"]],days:[a.Array,[\"%m/%d\",\"%a%d\"]],months:[a.Array,[\"%m/%Y\",\"%b %Y\"]],years:[a.Array,[\"%Y\"]]})}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const t=+i.default(new Date),s=function(s){const e=s.map(s=>d(t,s).length),r=m.sort_by(m.zip(e,s),([t])=>t);return m.unzip(r)};this._width_formats={microseconds:s(this.microseconds),milliseconds:s(this.milliseconds),seconds:s(this.seconds),minsec:s(this.minsec),minutes:s(this.minutes),hourmin:s(this.hourmin),hours:s(this.hours),days:s(this.days),months:s(this.months),years:s(this.years)}}_get_resolution_str(t,s){const e=1.1*t;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return s>=60?\"minsec\":\"seconds\";case!(e<3600):return s>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(t,s){if(0==t.length)return[];const e=Math.abs(t[t.length-1]-t[0])/1e3,r=e/(t.length-1),i=this._get_resolution_str(r,e),[,[n]]=this._width_formats[i],a=[],c=l.indexOf(i),m={};for(const t of l)m[t]=0;m.seconds=5,m.minsec=4,m.minutes=4,m.hourmin=3,m.hours=3;for(const s of t){let t,e;try{e=h(s),t=d(s,n)}catch(t){o.logger.warn(\"unable to format tick for timestamp value \"+s),o.logger.warn(\" - \"+t),a.push(\"ERR\");continue}let r=!1,u=c;for(;0==e[m[l[u]]];){let n;if(u+=1,u==l.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!r){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){n=this._width_formats[l[c-1]][1][0],t=d(s,n);break}r=!0}n=this._width_formats[l[u]][1][0],t=d(s,n)}if(this.strip_leading_zeros){let s=t.replace(/^0+/g,\"\");s!=t&&isNaN(parseInt(s))&&(s=\"0\"+s),a.push(s)}else a.push(t)}return a}}e.DatetimeTickFormatter=_,_.__name__=\"DatetimeTickFormatter\",_.init_DatetimeTickFormatter()},\n      function _(e,t,n){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new Date(Date.UTC(n,t.month,Math.abs(o++)))}while(t.day[0]<7&&r.getUTCDay()!=t.day[0]);return(r={clock:t.clock,sort:r.getTime(),rule:t,save:6e4*t.save,offset:e.offset})[r.clock]=r.sort+6e4*t.time,r.posix?r.wallclock=r[r.clock]+(e.offset+t.saved):r.posix=r[r.clock]-(e.offset+t.saved),r}function t(t,n,r){var o,a,u,i,l,s,c,f=t[t.zone],h=[],T=new Date(r).getUTCFullYear(),g=1;for(o=1,a=f.length;o<a&&!(f[o][n]<=r);o++);if((u=f[o]).rules){for(s=t[u.rules],c=T+1;c>=T-g;--c)for(o=0,a=s.length;o<a;o++)s[o].from<=c&&c<=s[o].to?h.push(e(u,s[o],c)):s[o].to<c&&1==g&&(g=c-s[o].to);for(h.sort((function(e,t){return e.sort-t.sort})),o=0,a=h.length;o<a;o++)r>=h[o][n]&&h[o][h[o].clock]>u[h[o].clock]&&(i=h[o])}return i&&((l=/^(.*)\\/(.*)$/.exec(u.format))?i.abbrev=l[i.save?2:1]:i.abbrev=u.format.replace(/%s/,i.rule.letter)),i||u}function n(e,n){return\"UTC\"==e.zone?n:(e.entry=t(e,\"posix\",n),n+e.entry.offset+e.entry.save)}function 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Use `cultures` instead\"),a},r.cultures=function(){return i},r.zeroFormat=function(e){l=\"string\"==typeof e?e:null},r.defaultFormat=function(e){u=\"string\"==typeof e?e:\"0.0\"},r.defaultCurrencyFormat=function(e){\"string\"==typeof e?e:\"0$\"},r.validate=function(e,n){var t,i,a,o,l,u,c,s;if(\"string\"!=typeof e&&(e+=\"\",console.warn&&console.warn(\"Numbro.js: Value is not string. 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supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(9),a=e(110),s=e(164),r=e(165),c=e(168),_=e(169),m=e(167);class k extends s.CompositeTicker{constructor(e){super(e)}static init_DatetimeTicker(){this.override({num_minor_ticks:0,tickers:()=>[new a.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*m.ONE_MILLI,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:m.ONE_SECOND,max_interval:30*m.ONE_MINUTE,num_minor_ticks:0}),new 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min_interval(){return this.interval}get max_interval(){return this.interval}}i.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n      function _(t,e,n){function _(t){return new Date(t.getTime())}function O(t){const e=_(t);return e.setUTCDate(1),e.setUTCHours(0),e.setUTCMinutes(0),e.setUTCSeconds(0),e.setUTCMilliseconds(0),e}Object.defineProperty(n,\"__esModule\",{value:!0}),n.ONE_MILLI=1,n.ONE_SECOND=1e3,n.ONE_MINUTE=60*n.ONE_SECOND,n.ONE_HOUR=60*n.ONE_MINUTE,n.ONE_DAY=24*n.ONE_HOUR,n.ONE_MONTH=30*n.ONE_DAY,n.ONE_YEAR=365*n.ONE_DAY,n.copy_date=_,n.last_month_no_later_than=O,n.last_year_no_later_than=function(t){const e=O(t);return e.setUTCMonth(0),e}},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(166),s=t(167),a=r.__importStar(t(18)),o=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define({months:[a.Array,[]]})}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*s.ONE_MONTH:this.interval=12*s.ONE_MONTH}get_ticks_no_defaults(t,e,n,r){const i=function(t,e){const n=s.last_year_no_later_than(new Date(t)),r=s.last_year_no_later_than(new Date(e));r.setUTCFullYear(r.getUTCFullYear()+1);const i=[],a=n;for(;i.push(s.copy_date(a)),a.setUTCFullYear(a.getUTCFullYear()+1),!(a>r););return i}(t,e),a=this.months;return{major:o.concat(i.map(t=>a.map(e=>{const n=s.copy_date(t);return n.setUTCMonth(e),n}))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.MonthsTicker=_,_.__name__=\"MonthsTicker\",_.init_MonthsTicker()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(109),r=e(166),n=e(167);class _ extends r.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=n.ONE_YEAR,this.basic_ticker=new i.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=n.last_year_no_later_than(new Date(e)).getUTCFullYear(),_=n.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,_,a,i).major.map(e=>Date.UTC(e,0,1)).filter(a=>e<=a&&a<=t),minor:[]}}}a.YearsTicker=_,_.__name__=\"YearsTicker\"},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(150),o=e(155),n=e(171),r=e(172);class _ extends s.AxisView{}t.LogAxisView=_,_.__name__=\"LogAxisView\";class c extends o.ContinuousAxis{constructor(e){super(e)}static init_LogAxis(){this.prototype.default_view=_,this.override({ticker:()=>new r.LogTicker,formatter:()=>new n.LogTickFormatter})}}t.LogAxis=c,c.__name__=\"LogAxis\",c.init_LogAxis()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=t(114),a=t(113),n=i.__importStar(t(18));class c extends o.TickFormatter{constructor(t){super(t)}static 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e=this.get_interval(t,o,i),c=Math.floor(t/e),a=Math.ceil(o/e);if(h=s.range(c,a+1).filter(t=>0!=t).map(t=>t*e).filter(e=>t<=e&&e<=o),n>0&&h.length>0){const t=e/n,o=s.range(0,n).map(o=>o*t);for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*a),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=s.range(t-1,o+1,e).map(t=>c**t),n>0&&h.length>0){const t=c**e/n,o=s.range(1,n+1).map(o=>o*t);for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter(e=>t<=e&&e<=o),minor:r.filter(e=>t<=e&&e<=o)}}}e.LogTicker=n,n.__name__=\"LogTicker\",n.init_LogTicker()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(150),s=e(157),o=e(174),a=e(175);class c extends i.AxisView{}r.MercatorAxisView=c,c.__name__=\"MercatorAxisView\";class n extends s.LinearAxis{constructor(e){super(e)}static init_MercatorAxis(){this.prototype.default_view=c,this.override({ticker:()=>new a.MercatorTicker({dimension:\"lat\"}),formatter:()=>new o.MercatorTickFormatter({dimension:\"lat\"})})}}r.MercatorAxis=n,n.__name__=\"MercatorAxis\",n.init_MercatorAxis()},\n      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),n=r(113),i=o.__importStar(r(18)),c=r(32);class s extends n.BasicTickFormatter{constructor(r){super(r)}static init_MercatorTickFormatter(){this.define({dimension:[i.LatLon]})}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n<e;n++){const[e]=c.wgs84_mercator.inverse([r[n],t.loc]);o[n]=e}else for(let n=0;n<e;n++){const[,e]=c.wgs84_mercator.inverse([t.loc,r[n]]);o[n]=e}return super.doFormat(o,t)}}e.MercatorTickFormatter=s,s.__name__=\"MercatorTickFormatter\",s.init_MercatorTickFormatter()},\n      function _(r,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=r(1),s=r(109),i=n.__importStar(r(18)),t=r(32);class c extends s.BasicTicker{constructor(r){super(r)}static init_MercatorTicker(){this.define({dimension:[i.LatLon]})}get_ticks_no_defaults(r,o,e,n){if(null==this.dimension)throw new Error(\"MercatorTicker.dimension not configured\");let s,i,c;[r,o]=t.clip_mercator(r,o,this.dimension),\"lon\"===this.dimension?([s,c]=t.wgs84_mercator.inverse([r,e]),[i,c]=t.wgs84_mercator.inverse([o,e])):([c,s]=t.wgs84_mercator.inverse([e,r]),[c,i]=t.wgs84_mercator.inverse([e,o]));const a=super.get_ticks_no_defaults(s,i,e,n),_=[],f=[];if(\"lon\"===this.dimension){for(const r of a.major)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);_.push(o)}for(const r of a.minor)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);f.push(o)}}else{for(const r of a.major)if(t.in_bounds(r,\"lat\")){const[,o]=t.wgs84_mercator.forward([c,r]);_.push(o)}for(const r of 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s=r(e)[1];if(s){const t=s.getAttribute(\"transform\");let e;e=t?t+\" \"+d:d,s.setAttribute(\"transform\",e),_.appendChild(s)}}}else if(t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__createElement(\"image\");if(e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\"),o||l||h!==t.width||c!==t.height){const e=this.__document.createElement(\"canvas\");e.width=n,e.height=a,e.getContext(\"2d\").drawImage(t,o,l,h,c,0,0,n,a),t=e}e.setAttribute(\"transform\",d);const s=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",s),_.appendChild(e)}else if(t instanceof HTMLCanvasElement){const e=this.__createElement(\"image\");e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\");const s=this.__document.createElement(\"canvas\");s.width=n,s.height=a;const i=s.getContext(\"2d\");i.imageSmoothingEnabled=!1,i.drawImage(t,o,l,h,c,0,0,n,a),t=s,e.setAttribute(\"transform\",d),e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.toDataURL()),_.appendChild(e)}}createPattern(t,e){const s=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),i=n(this.__ids);let r;if(s.setAttribute(\"id\",i),s.setAttribute(\"width\",\"\"+t.width),s.setAttribute(\"height\",\"\"+t.height),t instanceof HTMLCanvasElement||t instanceof HTMLImageElement||t instanceof SVGImageElement){r=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\"),r.setAttribute(\"width\",\"\"+t.width),r.setAttribute(\"height\",\"\"+t.height);const e=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");r.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",e),s.appendChild(r),this.__defs.appendChild(s)}else t instanceof u&&(s.appendChild(t.__root.childNodes[1]),this.__defs.appendChild(s));return new _(s,this)}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}}s.SVGRenderingContext2D=u,u.__name__=\"SVGRenderingContext2D\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(185),_=e(121),n=e(130),r=e(131),i=e(186),g=e(90),c=e(188);class h extends c.LayoutItem{constructor(e,t,s,a,_={},n={}){super(),this.x_scale=e,this.y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=n,this._configure_scales()}map_to_screen(e,t,s=\"default\",a=\"default\"){return[this.xscales[s].v_compute(e),this.yscales[a].v_compute(t)]}_get_ranges(e,t){return Object.assign(Object.assign({},t),{default:e})}_get_scales(e,t,s){const c={};for(const h in t){const o=t[h];if((o instanceof i.DataRange1d||o instanceof r.Range1d)&&!(e instanceof _.ContinuousScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);if(o instanceof g.FactorRange&&!(e instanceof a.CategoricalScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&o instanceof i.DataRange1d&&(o.scale_hint=\"log\");const l=e.clone();l.setv({source_range:o,target_range:s}),c[h]=l}return c}_configure_frame_ranges(){this._h_target=new r.Range1d({start:this._left.value,end:this._right.value}),this._v_target=new r.Range1d({start:this._bottom.value,end:this._top.value})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._xscales=this._get_scales(this.x_scale,this._x_ranges,this._h_target),this._yscales=this._get_scales(this.y_scale,this._y_ranges,this._v_target)}_update_scales(){this._configure_frame_ranges();for(const e in this._xscales){this._xscales[e].target_range=this._h_target}for(const e in this._yscales){this._yscales[e].target_range=this._v_target}}_set_geometry(e,t){super._set_geometry(e,t),this._update_scales()}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get xscales(){return this._xscales}get yscales(){return this._yscales}}s.CartesianFrame=h,h.__name__=\"CartesianFrame\"},\n      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(122);class _ extends n.Scale{constructor(e){super(e)}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}t.CategoricalScale=_,_.__name__=\"CategoricalScale\"},\n      function _(t,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=t(1),a=t(187),s=t(81),l=t(72),_=e.__importStar(t(18)),o=e.__importStar(t(88)),r=t(9);class h extends a.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}static init_DataRange1d(){this.define({start:[_.Number],end:[_.Number],range_padding:[_.Number,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[_.Boolean,!1],follow:[_.StartEnd],follow_interval:[_.Number],default_span:[_.Number,2],only_visible:[_.Boolean,!1]}),this.internal({scale_hint:[_.String,\"auto\"]})}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const t=this.names;let i=this.renderers;if(0==i.length)for(const t of this.plots){const n=t.renderers.filter(t=>t instanceof s.GlyphRenderer);i=i.concat(n)}t.length>0&&(i=i.filter(i=>r.includes(t,i.name))),l.logger.debug(`computed ${i.length} renderers for ${this}`);for(const t of i)l.logger.trace(\" - \"+t);return i}_compute_plot_bounds(t,i){let n=o.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=o.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=o.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return e<i*a?e=i*a:a=e/i,n.x1=s+.5*e,n.x0=s-.5*e,n.y1=l+.5*a,n.y0=l-.5*a,n}_compute_min_max(t,i){let n,e,a=o.empty();for(const i of t)a=o.union(a,i);return[n,e]=0==i?[a.x0,a.x1]:[a.y0,a.y1],[n,e]}_compute_range(t,i){const n=this.range_padding;let e,a;if(null!=this._initial_start&&(t=this._initial_start),null!=this._initial_end&&(i=this._initial_end),\"log\"==this.scale_hint){let s,_;if((isNaN(t)||!isFinite(t)||t<=0)&&(t=isNaN(i)||!isFinite(i)||i<=0?.1:i/100,l.logger.warn(\"could not determine minimum data value for log axis, DataRange1d using value \"+t)),(isNaN(i)||!isFinite(i)||i<=0)&&(i=isNaN(t)||!isFinite(t)||t<=0?10:100*t,l.logger.warn(\"could not determine maximum data value for log axis, DataRange1d using value \"+i)),i==t)_=this.default_span+.001,s=Math.log(t)/Math.log(10);else{let e,a;\"percent\"==this.range_padding_units?(e=Math.log(t)/Math.log(10),a=Math.log(i)/Math.log(10),_=(a-e)*(1+n)):(e=Math.log(t-n)/Math.log(10),a=Math.log(i+n)/Math.log(10),_=a-e),s=(e+a)/2}e=10**(s-_/2),a=10**(s+_/2)}else{let s;s=i==t?this.default_span:\"percent\"==this.range_padding_units?(i-t)*(1+n):i-t+2*n;const l=(i+t)/2;e=l-s/2,a=l+s/2}let s=1;this.flipped&&([e,a]=[a,e],s=-1);const _=this.follow_interval;return null!=_&&Math.abs(e-a)>_&&(\"start\"==this.follow?a=e+s*_:\"end\"==this.follow&&(e=a-s*_)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);const[h,d]=[this.start,this.end];if(o!=h||r!=d){const t={};o!=h&&(t.start=o),r!=d&&(t.end=r),this.setv(t)}\"auto\"==this.bounds&&this.setv({bounds:[o,r]},{silent:!0}),this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=h,h.__name__=\"DataRange1d\",h.init_DataRange1d()},\n      function _(e,a,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),r=e(91),s=n.__importStar(e(18));class _ extends r.Range{constructor(e){super(e)}static init_DataRange(){this.define({names:[s.Array,[]],renderers:[s.Array,[]]})}}t.DataRange=_,_.__name__=\"DataRange\",_.init_DataRange()},\n      function _(a,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=a(189);t.Sizeable=e.Sizeable;var r=a(190);t.Layoutable=r.Layoutable,t.LayoutItem=r.LayoutItem;var n=a(191);t.HStack=n.HStack,t.VStack=n.VStack,t.AnchorLayout=n.AnchorLayout;var u=a(192);t.Grid=u.Grid,t.Row=u.Row,t.Column=u.Column;var c=a(193);t.ContentBox=c.ContentBox,t.VariadicBox=c.VariadicBox},\n      function _(h,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const{min:e,max:w}=Math;class d{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new d({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new d({width:h!=1/0?w(this.width,h):this.width,height:t!=1/0?w(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=w(this.width,h),this.height=w(this.height,t)}narrowed_to({width:h,height:t}){return new d({width:e(this.width,h),height:e(this.height,t)})}narrow_to({width:h,height:t}){this.width=e(this.width,h),this.height=e(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,s=this.height+i+e;return new d({width:w,height:s})}shrink_by({left:h,right:t,top:i,bottom:e}){const s=w(this.width-h-t,0),n=w(this.height-i-e,0);return new d({width:s,height:n})}map(h,t){return new d({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=d,d.__name__=\"Sizeable\"},\n      function _(i,t,h){Object.defineProperty(h,\"__esModule\",{value:!0});const e=i(189),s=i(88),{min:n,max:g,round:a}=Math;class r{constructor(){this._bbox=new s.BBox,this._inner_bbox=new s.BBox;const i=this;this._top={get value(){return i.bbox.top}},this._left={get value(){return i.bbox.left}},this._width={get value(){return i.bbox.width}},this._height={get value(){return i.bbox.height}},this._right={get value(){return i.bbox.right}},this._bottom={get value(){return i.bbox.bottom}},this._hcenter={get value(){return i.bbox.hcenter}},this._vcenter={get value(){return i.bbox.vcenter}}}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set_sizing(i){const t=i.width_policy||\"fit\",h=i.width,e=null!=i.min_width?i.min_width:0,s=null!=i.max_width?i.max_width:1/0,n=i.height_policy||\"fit\",g=i.height,a=null!=i.min_height?i.min_height:0,r=null!=i.max_height?i.max_height:1/0,l=i.aspect,_=i.margin||{top:0,right:0,bottom:0,left:0},d=!1!==i.visible,o=i.halign||\"start\",u=i.valign||\"start\";this._sizing={width_policy:t,min_width:e,width:h,max_width:s,height_policy:n,min_height:a,height:g,max_height:r,aspect:l,margin:_,visible:d,halign:o,valign:u,size:{width:h,height:g},min_size:{width:e,height:a},max_size:{width:s,height:r}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,t||i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:s,height_policy:n}=this.sizing,g=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=s&&\"fixed\"!=n)if(s==n){const s=t,n=a(t/e),g=a(h*e),r=h;Math.abs(i.width-s)+Math.abs(i.height-n)<=Math.abs(i.width-g)+Math.abs(i.height-r)?(t=s,h=n):(t=g,h=r)}else g(s,n)?h=a(t/e):t=a(h*e);else\"fixed\"==s?h=a(t/e):\"fixed\"==n&&(t=a(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,s=new e.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(s),g=this.clip_size(n),a=t(g.width),r=h(g.height),l=this.apply_aspect(s,{width:a,height:r});return Object.assign(Object.assign({},n),l)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new s.BBox({left:0,top:0,width:h,height:e});let g=void 0;if(null!=t.inner){const{left:i,top:n,right:a,bottom:r}=t.inner;g=new s.BBox({left:i,top:n,right:h-a,bottom:e-r})}this.set_geometry(n,g)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_width(i){return g(this.sizing.min_width,n(i,this.sizing.max_width))}clip_height(i){return g(this.sizing.min_height,n(i,this.sizing.max_height))}clip_size({width:i,height:t}){return{width:this.clip_width(i),height:this.clip_height(t)}}}h.Layoutable=r,r.__name__=\"Layoutable\";class l extends r{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;let e,s;if(i.width==1/0)e=null!=this.sizing.width?this.sizing.width:0;else switch(t){case\"fixed\":e=null!=this.sizing.width?this.sizing.width:0;break;case\"min\":e=null!=this.sizing.width?n(i.width,this.sizing.width):0;break;case\"fit\":e=null!=this.sizing.width?n(i.width,this.sizing.width):i.width;break;case\"max\":e=null!=this.sizing.width?g(i.width,this.sizing.width):i.width}if(i.height==1/0)s=null!=this.sizing.height?this.sizing.height:0;else switch(h){case\"fixed\":s=null!=this.sizing.height?this.sizing.height:0;break;case\"min\":s=null!=this.sizing.height?n(i.height,this.sizing.height):0;break;case\"fit\":s=null!=this.sizing.height?n(i.height,this.sizing.height):i.height;break;case\"max\":s=null!=this.sizing.height?g(i.height,this.sizing.height):i.height}return{width:e,height:s}}}h.LayoutItem=l,l.__name__=\"LayoutItem\";class _ extends r{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=_,_.__name__=\"ContentLayoutable\"},\n      function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const o=t(190),r=t(88);class i extends o.Layoutable{constructor(){super(...arguments),this.children=[]}}h.Stack=i,i.__name__=\"Stack\";class s extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e+=o.width,h=Math.max(h,o.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{top:h,bottom:o}=t;let{left:i}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({left:i,width:e,top:h,bottom:o})),i+=e}}}h.HStack=s,s.__name__=\"HStack\";class n extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e=Math.max(e,o.width),h+=o.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{left:h,right:o}=t;let{top:i}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({top:i,height:e,left:h,right:o})),i+=e}}}h.VStack=n,n.__name__=\"VStack\";class c extends o.Layoutable{constructor(){super(...arguments),this.children=[]}_measure(t){let e=0,h=0;for(const{layout:o}of this.children){const r=o.measure(t);e=Math.max(e,r.width),h=Math.max(h,r.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);for(const{layout:e,anchor:h,margin:o}of this.children){const{left:i,right:s,top:n,bottom:c,hcenter:a,vcenter:_}=t,{width:g,height:d}=e.measure(t);let m;switch(h){case\"top_left\":m=new r.BBox({left:i+o,top:n+o,width:g,height:d});break;case\"top_center\":m=new r.BBox({hcenter:a,top:n+o,width:g,height:d});break;case\"top_right\":m=new r.BBox({right:s-o,top:n+o,width:g,height:d});break;case\"bottom_right\":m=new r.BBox({right:s-o,bottom:c-o,width:g,height:d});break;case\"bottom_center\":m=new r.BBox({hcenter:a,bottom:c-o,width:g,height:d});break;case\"bottom_left\":m=new r.BBox({left:i+o,bottom:c-o,width:g,height:d});break;case\"center_left\":m=new r.BBox({left:i+o,vcenter:_,width:g,height:d});break;case\"center\":m=new r.BBox({hcenter:a,vcenter:_,width:g,height:d});break;case\"center_right\":m=new r.BBox({right:s-o,vcenter:_,width:g,height:d})}e.set_geometry(m)}}}h.AnchorLayout=c,c.__name__=\"AnchorLayout\"},\n      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(189),o=t(190),n=t(8),r=t(88),h=t(9),{max:l,round:c}=Math;class a{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}a.__name__=\"DefaultMap\";class g{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=l(this._nrows,s+1),this._ncols=l(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter(({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1).map(({data:t})=>t)}row(t){return this._items.filter(({span:i})=>i.r0<=t&&t<=i.r1).map(({data:t})=>t)}col(t){return this._items.filter(({span:i})=>i.c0<=t&&t<=i.c1).map(({data:t})=>t)}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new g;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}g.__name__=\"Container\";class p extends o.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0,this.absolute=!1}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}_init(){super._init();const t=new g;for(const{layout:i,row:s,col:e,row_span:o,col_span:n}of this.items)if(i.sizing.visible){const r=s,h=e,l=s+(null!=o?o:1)-1,c=e+(null!=n?n:1)-1;t.add({r0:r,c0:h,r1:l,c1:c},i)}const{nrows:i,ncols:s}=t,e=new Array(i);for(let s=0;s<i;s++){const i=(()=>{const t=n.isPlainObject(this.rows)?this.rows[s]||this.rows[\"*\"]:this.rows;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",height:t}:n.isString(t)?{policy:t}:t})(),o=i.align||\"auto\";if(\"fixed\"==i.policy)e[s]={policy:\"fixed\",height:i.height,align:o};else if(\"min\"==i.policy)e[s]={policy:\"min\",align:o};else if(\"fit\"==i.policy||\"max\"==i.policy)e[s]={policy:i.policy,flex:i.flex||1,align:o};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");h.some(t.row(s),t=>t.is_height_expanding())?e[s]={policy:\"max\",flex:1,align:o}:e[s]={policy:\"min\",align:o}}}const o=new Array(s);for(let i=0;i<s;i++){const s=(()=>{const t=n.isPlainObject(this.cols)?this.cols[i]||this.cols[\"*\"]:this.cols;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",width:t}:n.isString(t)?{policy:t}:t})(),e=s.align||\"auto\";if(\"fixed\"==s.policy)o[i]={policy:\"fixed\",width:s.width,align:e};else if(\"min\"==s.policy)o[i]={policy:\"min\",align:e};else if(\"fit\"==s.policy||\"max\"==s.policy)o[i]={policy:s.policy,flex:s.flex||1,align:e};else{if(\"auto\"!=s.policy)throw new Error(\"unrechable\");h.some(t.col(i),t=>t.is_width_expanding())?o[i]={policy:\"max\",flex:1,align:e}:o[i]={policy:\"min\",align:e}}}const[r,l]=n.isNumber(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:t,nrows:i,ncols:s,rows:e,cols:o,rspacing:r,cspacing:l}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:h.sum(t)+(s-1)*o,width:h.sum(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:o,rows:n,cols:r,rspacing:h,cspacing:a}=this._state,p=new Array(s);for(let t=0;t<s;t++){const i=n[t];p[t]=\"fixed\"==i.policy?i.height:0}const _=new Array(o);for(let t=0;t<o;t++){const i=r[t];_[t]=\"fixed\"==i.policy?i.width:0}const f=new g;return i.foreach((i,s)=>{const{r0:o,c0:g,r1:d,c1:w}=i,u=(d-o)*h,m=(w-g)*a;let y=0;for(let i=o;i<=d;i++)y+=t(i,g).height;y+=u;let x=0;for(let i=g;i<=w;i++)x+=t(o,i).width;x+=m;const b=s.measure({width:x,height:y});f.add(i,{layout:s,size_hint:b});const z=new e.Sizeable(b).grow_by(s.sizing.margin);z.height-=u,z.width-=m;const j=[];for(let t=o;t<=d;t++){const i=n[t];\"fixed\"==i.policy?z.height-=i.height:j.push(t)}if(z.height>0){const t=c(z.height/j.length);for(const i of j)p[i]=l(p[i],t)}const O=[];for(let t=g;t<=w;t++){const i=r[t];\"fixed\"==i.policy?z.width-=i.width:O.push(t)}if(z.width>0){const t=c(z.width/O.length);for(const i of O)_[i]=l(_[i],t)}}),{size:this._measure_totals(p,_),row_heights:p,col_widths:_,size_hints:f}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:r}=this._state,h=this._measure_cells((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}});let a;a=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:h.size.height;let g,p=0;for(let t=0;t<i;t++){const i=e[t];\"fit\"==i.policy||\"max\"==i.policy?p+=i.flex:a-=h.row_heights[t]}if(a-=(i-1)*n,0!=p&&a>0)for(let t=0;t<i;t++){const i=e[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(a*(i.flex/p));a-=s,h.row_heights[t]=s,p-=i.flex}}else if(a<0){let t=0;for(let s=0;s<i;s++){\"fixed\"!=e[s].policy&&t++}let s=-a;for(let o=0;o<i;o++){if(\"fixed\"!=e[o].policy){const i=h.row_heights[o],e=c(s/t);h.row_heights[o]=l(i-e,0),s-=e>i?i:e,t--}}}g=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:h.size.width;let _=0;for(let t=0;t<s;t++){const i=o[t];\"fit\"==i.policy||\"max\"==i.policy?_+=i.flex:g-=h.col_widths[t]}if(g-=(s-1)*r,0!=_&&g>0)for(let t=0;t<s;t++){const i=o[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(g*(i.flex/_));g-=s,h.col_widths[t]=s,_-=i.flex}}else if(g<0){let t=0;for(let i=0;i<s;i++){\"fixed\"!=o[i].policy&&t++}let i=-g;for(let e=0;e<s;e++){if(\"fixed\"!=o[e].policy){const s=h.col_widths[e],o=c(i/t);h.col_widths[e]=l(s-o,0),i-=o>s?s:o,t--}}}const{row_heights:f,col_widths:d,size_hints:w}=this._measure_cells((t,i)=>({width:h.col_widths[i],height:h.row_heights[t]}));return{size:this._measure_totals(f,d),row_heights:f,col_widths:d,size_hints:w}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:h,col_widths:g,size_hints:p}=this._measure_grid(t),_=this._state.rows.map((t,i)=>Object.assign(Object.assign({},t),{top:0,height:h[i],get bottom(){return this.top+this.height}})),f=this._state.cols.map((t,i)=>Object.assign(Object.assign({},t),{left:0,width:g[i],get right(){return this.left+this.width}})),d=p.map((t,i)=>Object.assign(Object.assign({},i),{outer:new r.BBox,inner:new r.BBox}));for(let i=0,e=this.absolute?t.top:0;i<s;i++){const t=_[i];t.top=e,e+=t.height+o}for(let i=0,s=this.absolute?t.left:0;i<e;i++){const t=f[i];t.left=s,s+=t.width+n}d.foreach(({r0:t,c0:i,r1:s,c1:e},h)=>{const{layout:l,size_hint:a}=h,{sizing:g}=l,{width:p,height:d}=a,w=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=f[e].width;return s}(i,e),u=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=_[e].height;return s}(t,s),m=i==e&&\"auto\"!=f[i].align?f[i].align:g.halign,y=t==s&&\"auto\"!=_[t].align?_[t].align:g.valign;let x=f[i].left;\"start\"==m?x+=g.margin.left:\"center\"==m?x+=c((w-p)/2):\"end\"==m&&(x+=w-g.margin.right-p);let b=_[t].top;\"start\"==y?b+=g.margin.top:\"center\"==y?b+=c((u-d)/2):\"end\"==y&&(b+=u-g.margin.bottom-d),h.outer=new r.BBox({left:x,top:b,width:p,height:d})});const w=_.map(()=>({start:new a(()=>0),end:new a(()=>0)})),u=f.map(()=>({start:new a(()=>0),end:new a(()=>0)}));d.foreach(({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:r}=o;null!=r&&(w[t].start.apply(n.top,t=>l(t,r.top)),w[s].end.apply(_[s].bottom-n.bottom,t=>l(t,r.bottom)),u[i].start.apply(n.left,t=>l(t,r.left)),u[e].end.apply(f[e].right-n.right,t=>l(t,r.right)))}),d.foreach(({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:h}=o;function l({left:t,right:i,top:s,bottom:e}){const o=h.width-t-i,n=h.height-s-e;return new r.BBox({left:t,top:s,width:o,height:n})}if(null!=n.inner){let r=l(n.inner);if(!1!==n.align){const o=w[t].start.get(h.top),n=w[s].end.get(_[s].bottom-h.bottom),c=u[i].start.get(h.left),a=u[e].end.get(f[e].right-h.right);try{r=l({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=r}else o.inner=h}),d.foreach((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)})}}s.Grid=p,p.__name__=\"Grid\";class _ extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:0,col:i})),this.rows=\"fit\"}}s.Row=_,_.__name__=\"Row\";class f extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:i,col:0})),this.cols=\"fit\"}}s.Column=f,f.__name__=\"Column\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(190),i=e(189),a=e(68);class c extends n.ContentLayoutable{constructor(e){super(),this.content_size=a.unsized(e,()=>new i.Sizeable(a.size(e)))}_content_size(){return this.content_size}}s.ContentBox=c,c.__name__=\"ContentBox\";class o extends n.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new i.Sizeable(e).bounded_to(this.sizing.size);return a.sized(this.el,t,()=>{const e=new i.Sizeable(a.content_size(this.el)),{border:t,padding:s}=a.extents(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)})}}s.VariadicBox=o,o.__name__=\"VariadicBox\";class r extends o{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=r,r.__name__=\"CachedVariadicBox\"},\n      function _(e,r,u){Object.defineProperty(u,\"__esModule\",{value:!0});var a=e(195);u.Expression=a.Expression;var n=e(196);u.Stack=n.Stack;var o=e(197);u.CumSum=o.CumSum},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(71);class i extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}v_compute(e){this._connected.has(e)||(this.connect(e.change,()=>this._result.delete(e)),this.connect(e.patching,()=>this._result.delete(e)),this.connect(e.streaming,()=>this._result.delete(e)),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=i,i.__name__=\"Expression\"},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),o=t(195),r=i.__importStar(t(18));class s extends o.Expression{constructor(t){super(t)}static init_Stack(){this.define({fields:[r.Array,[]]})}_v_compute(t){var e;const n=null!==(e=t.get_length())&&void 0!==e?e:0,i=new Float64Array(n);for(const e of this.fields){const o=t.data[e];if(null!=o)for(let t=0,e=Math.min(n,o.length);t<e;t++)i[t]+=o[t]}return i}}n.Stack=s,s.__name__=\"Stack\",s.init_Stack()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),u=e(195),o=i.__importStar(e(18));class r extends u.Expression{constructor(e){super(e)}static init_CumSum(){this.define({field:[o.String],include_zero:[o.Boolean,!1]})}_v_compute(e){const t=new Float64Array(e.get_length()||0),n=e.data[this.field],i=this.include_zero?1:0;t[0]=this.include_zero?0:n[0];for(let e=1;e<t.length;e++)t[e]=t[e-1]+n[e-i];return t}}n.CumSum=r,r.__name__=\"CumSum\",r.init_CumSum()},\n      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});var l=e(199);t.BooleanFilter=l.BooleanFilter;var i=e(201);t.CustomJSFilter=i.CustomJSFilter;var o=e(200);t.Filter=o.Filter;var F=e(202);t.GroupFilter=F.GroupFilter;var a=e(203);t.IndexFilter=a.IndexFilter},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(200),i=o.__importStar(e(18)),r=e(72),a=e(9),s=e(8);class g extends l.Filter{constructor(e){super(e)}static init_BooleanFilter(){this.define({booleans:[i.Array,null]})}compute_indices(e){const n=this.booleans;return null!=n&&n.length>0?a.every(n,s.isBoolean)?(n.length!==e.get_length()&&r.logger.warn(this+\": length of booleans doesn't match data source\"),a.range(0,n.length).filter(e=>!0===n[e])):(r.logger.warn(this+\": booleans should be array of booleans, defaulting to no filtering\"),null):(null!=n&&0==n.length?r.logger.warn(this+\": booleans is empty, defaulting to no filtering\"):r.logger.warn(this+\": booleans was not set, defaulting to no filtering\"),null)}}t.BooleanFilter=g,g.__name__=\"BooleanFilter\",g.init_BooleanFilter()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),l=i.__importStar(e(18)),o=e(8),s=e(9),a=e(72);class f extends n.Model{constructor(e){super(e)}static init_Filter(){this.define({filter:[l.Array,null]})}compute_indices(e){const t=this.filter;return null!=t?o.isArrayOf(t,o.isBoolean)?s.range(0,t.length).filter(e=>!0===t[e]):o.isArrayOf(t,o.isInteger)?t:(a.logger.warn(this+\": filter should either be array of only booleans or only integers, defaulting to no filtering\"),null):(a.logger.warn(this+\": filter was not set to be an array, defaulting to no filtering\"),null)}}r.Filter=f,f.__name__=\"Filter\",f.init_Filter()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),r=t(200),n=i.__importStar(t(18)),u=t(17),c=t(24);class o extends r.Filter{constructor(t){super(t)}static init_CustomJSFilter(){this.define({args:[n.Any,{}],code:[n.String,\"\"]})}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const t=c.use_strict(this.code);return new Function(...this.names,\"source\",t)}compute_indices(t){return this.filter=this.func(...this.values,t),super.compute_indices(t)}}s.CustomJSFilter=o,o.__name__=\"CustomJSFilter\",o.init_CustomJSFilter()},\n      function _(t,n,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),r=t(200),o=e.__importStar(t(18)),u=t(72),l=t(9);class s extends r.Filter{constructor(t){super(t),this.indices=null}static init_GroupFilter(){this.define({column_name:[o.String],group:[o.String]})}compute_indices(t){const n=t.get_column(this.column_name);return null==n?(u.logger.warn(\"group filter: groupby column not found in data source\"),null):(this.indices=l.range(0,t.get_length()||0).filter(t=>n[t]===this.group),0===this.indices.length&&u.logger.warn(`group filter: group '${this.group}' did not match any values in column '${this.column_name}'`),this.indices)}}i.GroupFilter=s,s.__name__=\"GroupFilter\",s.init_GroupFilter()},\n      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),r=e(200),s=t.__importStar(e(18)),l=e(72),d=e(8),o=e(9);class c extends r.Filter{constructor(e){super(e)}static init_IndexFilter(){this.define({indices:[s.Array,null]})}compute_indices(e){return null!=this.indices?o.every(this.indices,d.isInteger)?this.indices:(l.logger.warn(this+\": indices should be array of integers, defaulting to no filtering\"),null):(l.logger.warn(this+\": indices was not set, defaulting to no filtering\"),null)}}n.IndexFilter=c,c.__name__=\"IndexFilter\",c.init_IndexFilter()},\n      function _(r,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});var e=r(113);a.BasicTickFormatter=e.BasicTickFormatter;var c=r(154);a.CategoricalTickFormatter=c.CategoricalTickFormatter;var i=r(158);a.DatetimeTickFormatter=i.DatetimeTickFormatter;var o=r(205);a.FuncTickFormatter=o.FuncTickFormatter;var m=r(171);a.LogTickFormatter=m.LogTickFormatter;var F=r(174);a.MercatorTickFormatter=F.MercatorTickFormatter;var k=r(206);a.NumeralTickFormatter=k.NumeralTickFormatter;var T=r(207);a.PrintfTickFormatter=T.PrintfTickFormatter;var v=r(114);a.TickFormatter=v.TickFormatter},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),s=t(114),i=r.__importStar(t(18)),c=t(17),a=t(24);class u extends s.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map((t,e,r)=>n(t,e,r,...this.values))}}n.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n      function 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t.map(t=>o.sprintf(this.format,t))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var v=a(209);r.AnnularWedge=v.AnnularWedge;var l=a(210);r.Annulus=l.Annulus;var t=a(211);r.Arc=t.Arc;var i=a(212);r.Bezier=i.Bezier;var n=a(213);r.Circle=n.Circle;var u=a(214);r.CenterRotatable=u.CenterRotatable;var c=a(215);r.Ellipse=c.Ellipse;var g=a(216);r.EllipseOval=g.EllipseOval;var A=a(89);r.Glyph=A.Glyph;var p=a(95);r.HArea=p.HArea;var s=a(217);r.HBar=s.HBar;var d=a(219);r.HexTile=d.HexTile;var R=a(220);r.Image=R.Image;var o=a(222);r.ImageRGBA=o.ImageRGBA;var y=a(223);r.ImageURL=y.ImageURL;var h=a(83);r.Line=h.Line;var m=a(225);r.MultiLine=m.MultiLine;var B=a(226);r.MultiPolygons=B.MultiPolygons;var P=a(227);r.Oval=P.Oval;var G=a(94);r.Patch=G.Patch;var H=a(228);r.Patches=H.Patches;var I=a(229);r.Quad=I.Quad;var L=a(230);r.Quadratic=L.Quadratic;var M=a(231);r.Ray=M.Ray;var O=a(232);r.Rect=O.Rect;var x=a(233);r.Segment=x.Segment;var C=a(234);r.Step=C.Step;var E=a(235);r.Text=E.Text;var Q=a(97);r.VArea=Q.VArea;var S=a(236);r.VBar=S.VBar;var T=a(237);r.Wedge=T.Wedge;var V=a(84);r.XYGlyph=V.XYGlyph},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),o=e(10),h=e(79);class u extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius,this._angle=new Float32Array(this._start_angle.length);for(let e=0,t=this._start_angle.length;e<t;e++)this._angle[e]=this._end_angle[e]-this._start_angle[e]}_render(e,t,{sx:s,sy:i,_start_angle:r,_angle:n,sinner_radius:a,souter_radius:_}){const o=this.model.properties.direction.value();for(const h of t)isNaN(s[h]+i[h]+a[h]+_[h]+r[h]+n[h])||(e.translate(s[h],i[h]),e.rotate(r[h]),e.moveTo(_[h],0),e.beginPath(),e.arc(0,0,_[h],0,n[h],o),e.rotate(n[h]),e.lineTo(a[h],0),e.arc(0,0,a[h],0,-n[h],!o),e.closePath(),e.rotate(-n[h]-r[h]),e.translate(-s[h],-i[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,h),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,h),e.stroke()))}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,a,_,u;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,_=i+this.max_outer_radius,a=r-this.max_outer_radius,u=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,_]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,o=s+this.max_outer_radius;[a,u]=this.renderer.yscale.r_invert(r,o)}const d=[];for(const e of this.index.indices({x0:n,x1:_,y0:a,y1:u})){const t=this.souter_radius[e]**2,s=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[_,o]=this.renderer.yscale.r_compute(r,this._y[e]),h=(n-a)**2+(_-o)**2;h<=t&&h>=s&&d.push([e,h])}const l=this.model.properties.direction.value(),c=[];for(const[e,i]of d){const r=Math.atan2(s-this.sy[e],t-this.sx[e]);o.angle_between(-r,-this._start_angle[e],-this._end_angle[e],l)&&c.push([e,i])}return h.Selection.from_hits(c)}draw_legend_for_index(e,t,s){n.generic_area_legend(this.visuals,e,t,s)}_scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+t*Math.cos(s),y:this.sy[e]+t*Math.sin(s)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}s.AnnularWedgeView=u,u.__name__=\"AnnularWedgeView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=u,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],inner_radius:[_.DistanceSpec],outer_radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.AnnularWedge=d,d.__name__=\"AnnularWedge\",d.init_AnnularWedge()},\n      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(18)),_=s(28),u=s(79);class o extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius}_render(s,i,{sx:e,sy:t,sinner_radius:r,souter_radius:a}){for(const n of i)if(!isNaN(e[n]+t[n]+r[n]+a[n])){if(this.visuals.fill.doit){if(this.visuals.fill.set_vectorize(s,n),s.beginPath(),_.is_ie)for(const i of[!1,!0])s.arc(e[n],t[n],r[n],0,Math.PI,i),s.arc(e[n],t[n],a[n],Math.PI,0,!i);else s.arc(e[n],t[n],r[n],0,2*Math.PI,!0),s.arc(e[n],t[n],a[n],2*Math.PI,0,!1);s.fill()}this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),s.beginPath(),s.arc(e[n],t[n],r[n],0,2*Math.PI),s.moveTo(e[n]+a[n],t[n]),s.arc(e[n],t[n],a[n],0,2*Math.PI),s.stroke())}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,_,o;if(\"data\"==this.model.properties.outer_radius.units)a=t-this.max_outer_radius,_=t+this.max_outer_radius,n=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const s=i-this.max_outer_radius,t=i+this.max_outer_radius;[a,_]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_outer_radius,u=e+this.max_outer_radius;[n,o]=this.renderer.yscale.r_invert(r,u)}const h=[];for(const s of this.index.indices({x0:a,x1:_,y0:n,y1:o})){const i=this.souter_radius[s]**2,e=this.sinner_radius[s]**2,[a,n]=this.renderer.xscale.r_compute(t,this._x[s]),[_,u]=this.renderer.yscale.r_compute(r,this._y[s]),o=(a-n)**2+(_-u)**2;o<=i&&o>=e&&h.push([s,o])}return u.Selection.from_hits(h)}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,_=new Array(n);_[a]=(i+t)/2;const u=new Array(n);u[a]=(e+r)/2;const o=.5*Math.min(Math.abs(t-i),Math.abs(r-e)),h=new Array(n);h[a]=.4*o;const d=new Array(n);d[a]=.8*o,this._render(s,[a],{sx:_,sy:u,sinner_radius:h,souter_radius:d})}}e.AnnulusView=o,o.__name__=\"AnnulusView\";class h extends r.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=o,this.mixins([a.LineVector,a.FillVector]),this.define({inner_radius:[n.DistanceSpec],outer_radius:[n.DistanceSpec]})}}e.Annulus=h,h.__name__=\"Annulus\",h.init_Annulus()},\n      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(1),r=e(84),n=e(92),a=e(23),_=t.__importStar(e(18));class c extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,i,{sx:s,sy:t,sradius:r,_start_angle:n,_end_angle:a}){if(this.visuals.line.doit){const _=this.model.properties.direction.value();for(const c of i)isNaN(s[c]+t[c]+r[c]+n[c]+a[c])||(e.beginPath(),e.arc(s[c],t[c],r[c],n[c],a[c],_),this.visuals.line.set_vectorize(e,c),e.stroke())}}draw_legend_for_index(e,i,s){n.generic_line_legend(this.visuals,e,i,s)}}s.ArcView=c,c.__name__=\"ArcView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=c,this.mixins(a.LineVector),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.Arc=d,d.__name__=\"Arc\",d.init_Arc()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),n=t(85),c=t(89),o=t(92);function r(t,e,i,s,n,c,o,r){const h=[],_=[[],[]];for(let _=0;_<=2;_++){let a,x,l;if(0===_?(x=6*t-12*i+6*n,a=-3*t+9*i-9*n+3*o,l=3*i-3*t):(x=6*e-12*s+6*c,a=-3*e+9*s-9*c+3*r,l=3*s-3*e),Math.abs(a)<1e-12){if(Math.abs(x)<1e-12)continue;const t=-l/x;0<t&&t<1&&h.push(t);continue}const y=x*x-4*l*a,u=Math.sqrt(y);if(y<0)continue;const d=(-x+u)/(2*a);0<d&&d<1&&h.push(d);const f=(-x-u)/(2*a);0<f&&f<1&&h.push(f)}let a=h.length;const x=a;for(;a--;){const x=h[a],l=1-x,y=l*l*l*t+3*l*l*x*i+3*l*x*x*n+x*x*x*o;_[0][a]=y;const u=l*l*l*e+3*l*l*x*s+3*l*x*x*c+x*x*x*r;_[1][a]=u}return _[0][x]=t,_[1][x]=e,_[0][x+1]=o,_[1][x+1]=r,[Math.min(..._[0]),Math.max(..._[1]),Math.max(..._[0]),Math.min(..._[1])]}class h extends c.GlyphView{_index_data(){const t=[];for(let e=0,i=this._x0.length;e<i;e++){if(isNaN(this._x0[e]+this._x1[e]+this._y0[e]+this._y1[e]+this._cx0[e]+this._cy0[e]+this._cx1[e]+this._cy1[e]))continue;const[i,s,n,c]=r(this._x0[e],this._y0[e],this._x1[e],this._y1[e],this._cx0[e],this._cy0[e],this._cx1[e],this._cy1[e]);t.push({x0:i,y0:s,x1:n,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sx0:i,sy0:s,sx1:n,sy1:c,scx0:o,scy0:r,scx1:h,scy1:_}){if(this.visuals.line.doit)for(const a of e)isNaN(i[a]+s[a]+n[a]+c[a]+o[a]+r[a]+h[a]+_[a])||(t.beginPath(),t.moveTo(i[a],s[a]),t.bezierCurveTo(o[a],r[a],h[a],_[a],n[a],c[a]),this.visuals.line.set_vectorize(t,a),t.stroke())}draw_legend_for_index(t,e,i){o.generic_line_legend(this.visuals,t,e,i)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}i.BezierView=h,h.__name__=\"BezierView\";class _ extends c.Glyph{constructor(t){super(t)}static init_Bezier(){this.prototype.default_view=h,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx0\",\"cy0\"],[\"cx1\",\"cy1\"]]),this.mixins(s.LineVector)}}i.Bezier=_,_.__name__=\"Bezier\",_.init_Bezier()},\n      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(93)),h=t.__importStar(s(18)),d=s(9),_=s(12),l=s(79);class c extends r.XYGlyphView{_map_data(){if(null!=this._radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this._radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.max(s,i[e]));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.min(s,i[e]));break}}else this.sradius=this._radius,this.max_size=2*this.max_radius;else this.sradius=_.map(this._size,s=>s/2)}_mask_data(){const[s,i]=this.renderer.plot_view.frame.bbox.ranges;let e,t,r,a;if(null!=this._radius&&\"data\"==this.model.properties.radius.units){const n=s.start,h=s.end;[e,r]=this.renderer.xscale.r_invert(n,h),e-=this.max_radius,r+=this.max_radius;const d=i.start,_=i.end;[t,a]=this.renderer.yscale.r_invert(d,_),t-=this.max_radius,a+=this.max_radius}else{const n=s.start-this.max_size,h=s.end+this.max_size;[e,r]=this.renderer.xscale.r_invert(n,h);const d=i.start-this.max_size,_=i.end+this.max_size;[t,a]=this.renderer.yscale.r_invert(d,_)}return this.index.indices({x0:e,x1:r,y0:t,y1:a})}_render(s,i,{sx:e,sy:t,sradius:r}){for(const a of i)isNaN(e[a]+t[a]+r[a])||(s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,a),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.stroke()))}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,h,d;if(null!=this._radius&&\"data\"==this.model.properties.radius.units)a=t-this.max_radius,n=t+this.max_radius,h=r-this.max_radius,d=r+this.max_radius;else{const s=i-this.max_size,t=i+this.max_size;[a,n]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size,_=e+this.max_size;[h,d]=this.renderer.yscale.r_invert(r,_)}const _=this.index.indices({x0:a,x1:n,y0:h,y1:d}),c=[];if(null!=this._radius&&\"data\"==this.model.properties.radius.units)for(const s of _){const i=this.sradius[s]**2,[e,a]=this.renderer.xscale.r_compute(t,this._x[s]),[n,h]=this.renderer.yscale.r_compute(r,this._y[s]),d=(e-a)**2+(n-h)**2;d<=i&&c.push([s,d])}else for(const s of _){const t=this.sradius[s]**2,r=(this.sx[s]-i)**2+(this.sy[s]-e)**2;r<=t&&c.push([s,r])}return l.Selection.from_hits(c)}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=this.index.indices({x0:r,x1:a,y0:n,y1:h});return new l.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),_=this.index.indices({x0:a,x1:n,y0:h,y1:d});return new l.Selection({indices:_})}_hit_poly(s){const{sx:i,sy:e}=s,t=d.range(0,this.sx.length),r=[];for(let s=0,a=t.length;s<a;s++){const a=t[s];n.point_in_poly(this.sx[s],this.sy[s],i,e)&&r.push(a)}return new l.Selection({indices:r})}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,h=new Array(n);h[a]=(i+t)/2;const d=new Array(n);d[a]=(e+r)/2;const _=new Array(n);_[a]=.2*Math.min(Math.abs(t-i),Math.abs(r-e)),this._render(s,[a],{sx:h,sy:d,sradius:_})}}e.CircleView=c,c.__name__=\"CircleView\";class o extends r.XYGlyph{constructor(s){super(s)}static init_Circle(){this.prototype.default_view=c,this.mixins([a.LineVector,a.FillVector]),this.define({angle:[h.AngleSpec,0],size:[h.DistanceSpec,{units:\"screen\",value:4}],radius:[h.DistanceSpec,void 0,{optional:!0}],radius_dimension:[h.RadiusDimension,\"x\"]})}}e.Circle=o,o.__name__=\"Circle\",o.init_Circle()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=e(1),i=e(84),l=e(23),s=a.__importStar(e(18));class c extends i.XYGlyphView{}n.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class o extends i.XYGlyph{constructor(e){super(e)}static init_CenterRotatable(){this.mixins([l.LineVector,l.FillVector]),this.define({angle:[s.AngleSpec,0],width:[s.DistanceSpec],height:[s.DistanceSpec]})}}n.CenterRotatable=o,o.__name__=\"CenterRotatable\",o.init_CenterRotatable()},\n      function _(e,l,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(216);class t extends s.EllipseOvalView{}i.EllipseView=t,t.__name__=\"EllipseView\";class _ extends s.EllipseOval{constructor(e){super(e)}static init_Ellipse(){this.prototype.default_view=t}}i.Ellipse=_,_.__name__=\"Ellipse\",_.init_Ellipse()},\n      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),h=t(214),r=e.__importStar(t(93)),a=t(79);class _ extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"):this.sw=this._width,\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"):this.sh=this._height}_render(t,s,{sx:i,sy:e,sw:h,sh:r,_angle:a}){for(const _ of s)isNaN(i[_]+e[_]+h[_]+r[_]+a[_])||(t.beginPath(),t.ellipse(i[_],e[_],h[_]/2,r[_]/2,a[_],0,2*Math.PI),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,_),t.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,_),t.stroke()))}_hit_point(t){let s,i,e,h,_,n,l,d,o,x;const{sx:m,sy:c}=t,w=this.renderer.xscale.invert(m),p=this.renderer.yscale.invert(c);\"data\"==this.model.properties.width.units?(s=w-this.max_width,i=w+this.max_width):(l=m-this.max_width,d=m+this.max_width,[s,i]=this.renderer.xscale.r_invert(l,d)),\"data\"==this.model.properties.height.units?(e=p-this.max_height,h=p+this.max_height):(o=c-this.max_height,x=c+this.max_height,[e,h]=this.renderer.yscale.r_invert(o,x));const y=this.index.indices({x0:s,x1:i,y0:e,y1:h}),u=[];for(const t of y)_=r.point_in_ellipse(m,c,this._angle[t],this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),_&&([l,d]=this.renderer.xscale.r_compute(w,this._x[t]),[o,x]=this.renderer.yscale.r_compute(p,this._y[t]),n=(l-d)**2+(o-x)**2,u.push([t,n]));return a.Selection.from_hits(u)}draw_legend_for_index(t,{x0:s,y0:i,x1:e,y1:h},r){const a=r+1,_=new Array(a);_[r]=(s+e)/2;const n=new Array(a);n[r]=(i+h)/2;const l=this.sw[r]/this.sh[r],d=.8*Math.min(Math.abs(e-s),Math.abs(h-i)),o=new Array(a),x=new Array(a);l>1?(o[r]=d,x[r]=d/l):(o[r]=d*l,x[r]=d),this._render(t,[r],{sx:_,sy:n,sw:o,sh:x,_angle:[0]})}_bounds({x0:t,x1:s,y0:i,y1:e}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:i-this.max_h2,y1:e+this.max_h2}}}i.EllipseOvalView=_,_.__name__=\"EllipseOvalView\";class n extends h.CenterRotatable{constructor(t){super(t)}}i.EllipseOval=n,n.__name__=\"EllipseOval\"},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class _ extends h.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return this.sy[t]}_index_data(){return this._index_box(this._y.length)}_lrtb(t){return[Math.min(this._left[t],this._right[t]),Math.max(this._left[t],this._right[t]),this._y[t]+.5*this._height[t],this._y[t]-.5*this._height[t]]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new Float64Array(t),this.sbottom=new Float64Array(t);for(let s=0;s<t;s++)this.stop[s]=this.sy[s]-this.sh[s]/2,this.sbottom[s]=this.sy[s]+this.sh[s]/2;this._clamp_viewport()}}e.HBarView=_,_.__name__=\"HBarView\";class a extends h.Box{constructor(t){super(t)}static init_HBar(){this.prototype.default_view=_,this.coords([[\"left\",\"y\"]]),this.define({height:[r.NumberSpec],right:[r.CoordinateSpec]}),this.override({left:0})}}e.HBar=a,a.__name__=\"HBar\",a.init_HBar()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),r=t(85),n=t(89),h=t(92),o=t(79);class a extends n.GlyphView{get_anchor_point(t,e,i){const s=Math.min(this.sleft[e],this.sright[e]),r=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),h=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:s,y:n};case\"top_center\":return{x:(s+r)/2,y:n};case\"top_right\":return{x:r,y:n};case\"bottom_left\":return{x:s,y:h};case\"bottom_center\":return{x:(s+r)/2,y:h};case\"bottom_right\":return{x:r,y:h};case\"center_left\":return{x:s,y:(n+h)/2};case\"center\":return{x:(s+r)/2,y:(n+h)/2};case\"center_right\":return{x:r,y:(n+h)/2};default:return null}}_index_box(t){const e=[];for(let i=0;i<t;i++){const[t,s,r,n]=this._lrtb(i);!isNaN(t+s+r+n)&&isFinite(t+s+r+n)&&e.push({x0:Math.min(t,s),y0:Math.min(r,n),x1:Math.max(s,t),y1:Math.max(r,n),i})}return new r.SpatialIndex(e)}_render(t,e,{sleft:i,sright:s,stop:r,sbottom:n}){for(const h of e)isNaN(i[h]+r[h]+s[h]+n[h])||(t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()),this.visuals.hatch.doit2(t,h,()=>{t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.stroke()))}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,i=this.stop.length;for(let s=0;s<i;s++)this.stop[s]=Math.max(this.stop[s],e.start),this.sbottom[s]=Math.min(this.sbottom[s],e.end),this.sleft[s]=Math.max(this.sleft[s],t.start),this.sright[s]=Math.min(this.sright[s],t.end)}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){const{sx:e,sy:i}=t,s=this.renderer.xscale.invert(e),r=this.renderer.yscale.invert(i),n=this.index.indices({x0:s,y0:r,x1:s,y1:r});return new o.Selection({indices:n})}_hit_span(t){const{sx:e,sy:i}=t;let s;if(\"v\"==t.direction){const t=this.renderer.yscale.invert(i),e=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(e.start,e.end);s=this.index.indices({x0:r,y0:t,x1:n,y1:t})}else{const t=this.renderer.xscale.invert(e),i=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(i.start,i.end);s=this.index.indices({x0:t,y0:r,x1:t,y1:n})}return new o.Selection({indices:s})}draw_legend_for_index(t,e,i){h.generic_area_legend(this.visuals,t,e,i)}}i.BoxView=a,a.__name__=\"BoxView\";class c extends n.Glyph{constructor(t){super(t)}static init_Box(){this.mixins([s.LineVector,s.FillVector,s.HatchVector])}}i.Box=c,c.__name__=\"Box\",c.init_Box()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(89),n=i.__importStar(e(93)),o=i.__importStar(e(18)),a=e(23),l=e(85),h=e(92),c=e(79);class _ extends r.GlyphView{scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}_set_data(){const e=this._q.length,t=this.model.size,s=this.model.aspect_scale;if(this._x=new Float64Array(e),this._y=new Float64Array(e),\"pointytop\"==this.model.orientation)for(let i=0;i<e;i++)this._x[i]=t*Math.sqrt(3)*(this._q[i]+this._r[i]/2)/s,this._y[i]=3*-t/2*this._r[i];else for(let i=0;i<e;i++)this._x[i]=3*t/2*this._q[i],this._y[i]=-t*Math.sqrt(3)*(this._r[i]+this._q[i]/2)*s}_index_data(){let e=this.model.size,t=Math.sqrt(3)*e/2;\"flattop\"==this.model.orientation?([t,e]=[e,t],e*=this.model.aspect_scale):t/=this.model.aspect_scale;const s=[];for(let i=0;i<this._x.length;i++){const r=this._x[i],n=this._y[i];!isNaN(r+n)&&isFinite(r+n)&&s.push({x0:r-t,y0:n-e,x1:r+t,y1:n+e,i})}return new l.SpatialIndex(s)}map_data(){[this.sx,this.sy]=this.map_to_screen(this._x,this._y),[this.svx,this.svy]=this._get_unscaled_vertices()}_get_unscaled_vertices(){const e=this.model.size,t=this.model.aspect_scale;if(\"pointytop\"==this.model.orientation){const s=this.renderer.yscale,i=this.renderer.xscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))/t,o=r/2;return[[0,-n,-n,0,n,n],[r,o,-o,-r,-o,o]]}{const s=this.renderer.xscale,i=this.renderer.yscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))*t,o=r/2;return[[r,o,-o,-r,-o,o],[0,-n,-n,0,n,n]]}}_render(e,t,{sx:s,sy:i,svx:r,svy:n,_scale:o}){for(const a of t)if(!isNaN(s[a]+i[a]+o[a])){e.translate(s[a],i[a]),e.beginPath();for(let t=0;t<6;t++)e.lineTo(r[t]*o[a],n[t]*o[a]);e.closePath(),e.translate(-s[a],-i[a]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,a),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,a),e.stroke())}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s),o=this.index.indices({x0:i,y0:r,x1:i,y1:r}),a=[];for(const e of o)n.point_in_poly(t-this.sx[e],s-this.sy[e],this.svx,this.svy)&&a.push(e);return new c.Selection({indices:a})}_hit_span(e){const{sx:t,sy:s}=e;let i;if(\"v\"==e.direction){const e=this.renderer.yscale.invert(s),t=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(t.start,t.end);i=this.index.indices({x0:r,y0:e,x1:n,y1:e})}else{const e=this.renderer.xscale.invert(t),s=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(s.start,s.end);i=this.index.indices({x0:e,y0:r,x1:e,y1:n})}return new c.Selection({indices:i})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:r}=e,[n,o]=this.renderer.xscale.r_invert(t,s),[a,l]=this.renderer.yscale.r_invert(i,r),h=this.index.indices({x0:n,x1:o,y0:a,y1:l});return new c.Selection({indices:h})}draw_legend_for_index(e,t,s){h.generic_area_legend(this.visuals,e,t,s)}}s.HexTileView=_,_.__name__=\"HexTileView\";class d extends r.Glyph{constructor(e){super(e)}static init_HexTile(){this.prototype.default_view=_,this.coords([[\"r\",\"q\"]]),this.mixins([a.LineVector,a.FillVector]),this.define({size:[o.Number,1],aspect_scale:[o.Number,1],scale:[o.NumberSpec,1],orientation:[o.HexTileOrientation,\"pointytop\"]}),this.override({line_color:null})}}s.HexTile=d,d.__name__=\"HexTile\",d.init_HexTile()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(1),i=e(221),n=e(115),s=_.__importStar(e(18));class r extends i.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,()=>this._update_image())}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.plot_view.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}a.ImageView=r,r.__name__=\"ImageView\";class o extends i.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=r,this.define({color_mapper:[s.Instance,()=>new n.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})}}a.Image=o,o.__name__=\"Image\",o.init_Image()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(84),h=s.__importStar(e(18)),n=e(79),_=e(85),r=e(9),d=e(26);class l extends a.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_render(e,t,{image_data:i,sx:s,sy:a,sw:h,sh:n}){const _=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const _ of t){if(null==i[_]||isNaN(s[_]+a[_]+h[_]+n[_]))continue;const t=a[_];e.translate(0,t),e.scale(1,-1),e.translate(0,-t),e.drawImage(i[_],0|s[_],0|a[_],h[_],n[_]),e.translate(0,t),e.scale(1,-1),e.translate(0,-t)}e.setImageSmoothingEnabled(_)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this._image.length;t<i;t++){if(null!=e&&e.indexOf(t)<0)continue;const i=this._image[t];let s;d.is_NDArray(i)?(s=i,this._height[t]=i.shape[0],this._width[t]=i.shape[1]):(s=r.concat(i),this._height[t]=i.length,this._width[t]=i[0].length);const a=this._flat_img_to_buf8(s);this._set_image_data_from_buffer(t,a)}}_index_data(){const e=[];for(let t=0,i=this._x.length;t<i;t++){const[i,s,a,h]=this._lrtb(t);!isNaN(i+s+a+h)&&isFinite(i+s+a+h)&&e.push({x0:i,y0:h,x1:s,y1:a,i:t})}return new _.SpatialIndex(e)}_lrtb(e){const t=this.renderer.xscale.source_range,i=this._x[e],s=t.is_reversed?i-this._dw[e]:i+this._dw[e],a=this.renderer.yscale.source_range,h=this._y[e],n=a.is_reversed?h-this._dh[e]:h+this._dh[e],[_,r]=i<s?[i,s]:[s,i],[d,l]=h<n?[h,n]:[n,h];return[_,r,l,d]}_set_width_heigh_data(){null!=this.image_data&&this.image_data.length==this._image.length||(this.image_data=new Array(this._image.length)),null!=this._width&&this._width.length==this._image.length||(this._width=new Array(this._image.length)),null!=this._height&&this._height.length==this._image.length||(this._height=new Array(this._image.length))}_get_or_create_canvas(e){const t=this.image_data[e];if(null!=t&&t.width==this._width[e]&&t.height==this._height[e])return t;{const t=document.createElement(\"canvas\");return t.width=this._width[e],t.height=this._height[e],t}}_set_image_data_from_buffer(e,t){const i=this._get_or_create_canvas(e),s=i.getContext(\"2d\"),a=s.getImageData(0,0,this._width[e],this._height[e]);a.data.set(t),s.putImageData(a,0,0),this.image_data[e]=i}_map_data(){switch(this.model.properties.dw.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,this._dw,\"edge\",this.model.dilate);break;case\"screen\":this.sw=this._dw}switch(this.model.properties.dh.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,this._dh,\"edge\",this.model.dilate);break;case\"screen\":this.sh=this._dh}}_image_index(e,t,i){const[s,a,h,n]=this._lrtb(e),_=this._width[e],r=this._height[e],d=(a-s)/_,l=(h-n)/r;let g=Math.floor((t-s)/d),o=Math.floor((i-n)/l);return this.renderer.xscale.source_range.is_reversed&&(g=_-g-1),this.renderer.yscale.source_range.is_reversed&&(o=r-o-1),{index:e,dim1:g,dim2:o,flat_index:o*_+g}}_hit_point(e){const{sx:t,sy:i}=e,s=this.renderer.xscale.invert(t),a=this.renderer.yscale.invert(i),h=this.index.indices({x0:s,x1:s,y0:a,y1:a}),_=new n.Selection;for(const e of h)t!=1/0&&i!=1/0&&_.image_indices.push(this._image_index(e,s,a));return _}}i.ImageBaseView=l,l.__name__=\"ImageBaseView\";class g extends a.XYGlyph{constructor(e){super(e)}static init_ImageBase(){this.define({image:[h.NumberSpec],dw:[h.DistanceSpec],dh:[h.DistanceSpec],dilate:[h.Boolean,!1],global_alpha:[h.Number,1]})}}i.ImageBase=g,g.__name__=\"ImageBase\",g.init_ImageBase()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(221),i=e(8);class n extends _.ImageBaseView{_flat_img_to_buf8(e){let t;return t=i.isArray(e)?new Uint32Array(e):e,new Uint8Array(t.buffer)}}a.ImageRGBAView=n,n.__name__=\"ImageRGBAView\";class r extends _.ImageBase{constructor(e){super(e)}static init_ImageRGBA(){this.prototype.default_view=n}}a.ImageRGBA=r,r.__name__=\"ImageRGBA\",r.init_ImageRGBA()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),a=i.__importStar(e(18)),n=e(12),h=e(85),l=e(224);class _ extends r.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1}initialize(){super.initialize(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_index_data(){return new h.SpatialIndex([])}_set_data(){null!=this.image&&this.image.length==this._url.length||(this.image=n.map(this._url,()=>null));const{retry_attempts:e,retry_timeout:t}=this.model;for(let s=0,i=this._url.length;s<i;s++){const i=this._url[s];null!=i&&\"\"!=i&&new l.ImageLoader(i,{loaded:e=>{this.image[s]=e,this.renderer.request_render()},attempts:e+1,timeout:t})}const s=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,r=this._x.length,a=new Array(s?2*r:r),h=new Array(i?2*r:r);for(let e=0;e<r;e++)a[e]=this._x[e],h[e]=this._y[e];if(s)for(let e=0;e<r;e++)a[r+e]=this._x[e]+this._w[e];if(i)for(let e=0;e<r;e++)h[r+e]=this._y[e]+this._h[e];const _=n.min(a),o=n.max(a),d=n.min(h),c=n.max(h);this._bounds_rect={x0:_,x1:o,y0:d,y1:c}}has_finished(){return super.has_finished()&&1==this._images_rendered}_map_data(){const e=null!=this.model.w?this._w:n.map(this._x,()=>NaN),t=null!=this.model.h?this._h:n.map(this._x,()=>NaN);switch(this.model.properties.w.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,e,\"edge\",this.model.dilate);break;case\"screen\":this.sw=e}switch(this.model.properties.h.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,t,\"edge\",this.model.dilate);break;case\"screen\":this.sh=t}}_render(e,t,{image:s,sx:i,sy:r,sw:a,sh:n,_angle:h}){const{frame:l}=this.renderer.plot_view;e.rect(l._left.value+1,l._top.value+1,l._width.value-2,l._height.value-2),e.clip();let _=!0;for(const l of t){if(isNaN(i[l]+r[l]+h[l]))continue;const t=s[l];null!=t?this._render_image(e,l,t,i,r,a,n,h):_=!1}_&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,i,r){switch(e){case\"top_left\":return[t,s];case\"top_center\":return[t-i/2,s];case\"top_right\":return[t-i,s];case\"center_right\":return[t-i,s-r/2];case\"bottom_right\":return[t-i,s-r];case\"bottom_center\":return[t-i/2,s-r];case\"bottom_left\":return[t,s-r];case\"center_left\":return[t,s-r/2];case\"center\":return[t-i/2,s-r/2]}}_render_image(e,t,s,i,r,a,n,h){isNaN(a[t])&&(a[t]=s.width),isNaN(n[t])&&(n[t]=s.height);const{anchor:l}=this.model,[_,o]=this._final_sx_sy(l,i[t],r[t],a[t],n[t]);e.save(),e.globalAlpha=this.model.global_alpha;const d=a[t]/2,c=n[t]/2;h[t]?(e.translate(_,o),e.translate(d,c),e.rotate(h[t]),e.translate(-d,-c),e.drawImage(s,0,0,a[t],n[t]),e.translate(d,c),e.rotate(-h[t]),e.translate(-d,-c),e.translate(-_,-o)):e.drawImage(s,_,o,a[t],n[t]),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=_,_.__name__=\"ImageURLView\";class o extends r.XYGlyph{constructor(e){super(e)}static init_ImageURL(){this.prototype.default_view=_,this.define({url:[a.StringSpec],anchor:[a.Anchor,\"top_left\"],global_alpha:[a.Number,1],angle:[a.AngleSpec,0],w:[a.DistanceSpec],h:[a.DistanceSpec],dilate:[a.Boolean,!1],retry_attempts:[a.Number,0],retry_timeout:[a.Number,0]})}}s.ImageURL=o,o.__name__=\"ImageURL\",o.init_ImageURL()},\n      function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(72);class a{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:a=1}=e;this.promise=new Promise((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const a=`unable to load ${i} image after ${t} attempts`;if(s.logger.warn(a),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());s.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout(()=>this._image.src=i,a)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i})}get finished(){return this._finished}get image(){return this._image}}t.ImageLoader=a,a.__name__=\"ImageLoader\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(85),l=t(23),o=i.__importStar(t(93)),r=t(9),h=t(17),_=t(89),c=t(92),a=t(79);class x extends _.GlyphView{_index_data(){const t=[];for(let e=0,s=this._xs.length;e<s;e++){if(null==this._xs[e]||0===this._xs[e].length)continue;const s=this._xs[e],i=[];for(let t=0,e=s.length;t<e;t++){const e=s[t];isNaN(e)||i.push(e)}const n=this._ys[e],l=[];for(let t=0,e=n.length;t<e;t++){const e=n[t];isNaN(e)||l.push(e)}const[o,h]=[r.min(i),r.max(i)],[_,c]=[r.min(l),r.max(l)];t.push({x0:o,y0:_,x1:h,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sxs:s,sys:i}){for(const n of e){const[e,l]=[s[n],i[n]];this.visuals.line.set_vectorize(t,n);for(let s=0,i=e.length;s<i;s++)0!=s?isNaN(e[s])||isNaN(l[s])?(t.stroke(),t.beginPath()):t.lineTo(e[s],l[s]):(t.beginPath(),t.moveTo(e[s],l[s]));t.stroke()}}_hit_point(t){const e={x:t.sx,y:t.sy};let s=9999;const i=new Map;for(let t=0,n=this.sxs.length;t<n;t++){const n=Math.max(2,this.visuals.line.cache_select(\"line_width\",t)/2);let l=null;for(let i=0,r=this.sxs[t].length-1;i<r;i++){const r={x:this.sxs[t][i],y:this.sys[t][i]},h={x:this.sxs[t][i+1],y:this.sys[t][i+1]},_=o.dist_to_segment(e,r,h);_<n&&_<s&&(s=_,l=[i])}null!=l&&i.set(t,l)}return new a.Selection({indices:[...i.keys()],multiline_indices:h.to_object(i)})}_hit_span(t){const{sx:e,sy:s}=t;let i,n;\"v\"===t.direction?(i=this.renderer.yscale.invert(s),n=this._ys):(i=this.renderer.xscale.invert(e),n=this._xs);const l=new Map;for(let t=0,e=n.length;t<e;t++){const e=[];for(let s=0,l=n[t].length-1;s<l;s++)n[t][s]<=i&&i<=n[t][s+1]&&e.push(s);e.length>0&&l.set(t,e)}return new a.Selection({indices:[...l.keys()],multiline_indices:h.to_object(l)})}get_interpolation_hit(t,e,s){const[i,n,l,o]=[this._xs[t][e],this._ys[t][e],this._xs[t][e+1],this._ys[t][e+1]];return c.line_interpolation(this.renderer,s,i,n,l,o)}draw_legend_for_index(t,e,s){c.generic_line_legend(this.visuals,t,e,s)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}s.MultiLineView=x,x.__name__=\"MultiLineView\";class u extends _.Glyph{constructor(t){super(t)}static init_MultiLine(){this.prototype.default_view=x,this.coords([[\"xs\",\"ys\"]]),this.mixins(l.LineVector)}}s.MultiLine=u,u.__name__=\"MultiLine\",u.init_MultiLine()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(85),r=e(89),o=e(92),l=e(9),h=e(12),_=e(23),a=i.__importStar(e(93)),c=e(79),d=e(8),x=e(11);class y extends r.GlyphView{_index_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++){const i=this._xs[t][s][0],n=this._ys[t][s][0];0!=i.length&&e.push({x0:l.min(i),y0:l.min(n),x1:l.max(i),y1:l.max(n),i:t})}return this.hole_index=this._index_hole_data(),new n.SpatialIndex(e)}_index_hole_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++)if(this._xs[t][s].length>1)for(let i=1,n=this._xs[t][s].length;i<n;i++){const n=this._xs[t][s][i],r=this._ys[t][s][i];0!=n.length&&e.push({x0:l.min(n),y0:l.min(r),x1:l.max(n),y1:l.max(r),i:t})}return new n.SpatialIndex(e)}_mask_data(){const e=this.renderer.plot_view.frame.x_ranges.default,[t,s]=[e.min,e.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:s,y0:n,y1:r}).sort((e,t)=>e-t).filter((e,t,s)=>0===t||e!==s[t-1])}_inner_loop(e,t,s){e.beginPath();for(let i=0,n=t.length;i<n;i++)for(let n=0,r=t[i].length;n<r;n++){const r=t[i][n],o=s[i][n];for(let t=0,s=r.length;t<s;t++)0!=t?e.lineTo(r[t],o[t]):e.moveTo(r[t],o[t]);e.closePath()}}_render(e,t,{sxs:s,sys:i}){if(this.visuals.fill.doit||this.visuals.line.doit)for(const n of t){const[t,r]=[s[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,n),this._inner_loop(e,t,r),e.fill(\"evenodd\")),this.visuals.hatch.doit2(e,n,()=>{this._inner_loop(e,t,r),e.fill(\"evenodd\")},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,n),this._inner_loop(e,t,r),e.stroke())}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],o=[i,i,n,n],[l,h]=this.renderer.xscale.r_invert(t,s),[_,d]=this.renderer.yscale.r_invert(i,n),x=this.index.indices({x0:l,x1:h,y0:_,y1:d}),y=[];for(let e=0,t=x.length;e<t;e++){const t=x[e],s=this.sxs[t],i=this.sys[t];let n=!0;for(let e=0,t=s.length;e<t;e++){for(let t=0,l=s[e][0].length;t<l;t++){const l=s[e][0][t],h=i[e][0][t];if(!a.point_in_poly(l,h,r,o)){n=!1;break}}if(!n)break}n&&y.push(t)}return new c.Selection({indices:y})}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(s),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=this.hole_index.indices({x0:i,y0:n,x1:i,y1:n}),l=[];for(let e=0,i=r.length;e<i;e++){const i=r[e],n=this.sxs[i],h=this.sys[i];for(let e=0,r=n.length;e<r;e++){const r=n[e].length;if(a.point_in_poly(t,s,n[e][0],h[e][0]))if(1==r)l.push(i);else if(-1==o.indexOf(i))l.push(i);else if(r>1){let o=!1;for(let i=1;i<r;i++){const r=n[e][i],l=h[e][i];if(a.point_in_poly(t,s,r,l)){o=!0;break}}o||l.push(i)}}}return new c.Selection({indices:l})}_get_snap_coord(e){return h.sum(e)/e.length}scenterx(e,t,s){if(1==this.sxs[e].length)return this._get_snap_coord(this.sxs[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(i[e][0])}x.unreachable()}scentery(e,t,s){if(1==this.sys[e].length)return this._get_snap_coord(this.sys[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(n[e][0])}x.unreachable()}map_data(){const e=this;for(let[t,s]of this.model._coords){const i=\"s\"+t,n=\"s\"+s;if(t=\"_\"+t,s=\"_\"+s,null!=e[t]&&(d.isArray(e[t][0])||d.isTypedArray(e[t][0]))){const r=e[t].length;e[i]=new Array(r),e[n]=new Array(r);for(let o=0;o<r;o++){const r=e[t][o].length;e[i][o]=new Array(r),e[n][o]=new Array(r);for(let l=0;l<r;l++){const r=e[t][o][l].length;e[i][o][l]=new Array(r),e[n][o][l]=new Array(r);for(let h=0;h<r;h++){const[r,_]=this.map_to_screen(e[t][o][l][h],e[s][o][l][h]);e[i][o][l][h]=r,e[n][o][l][h]=_}}}}}}draw_legend_for_index(e,t,s){o.generic_area_legend(this.visuals,e,t,s)}}s.MultiPolygonsView=y,y.__name__=\"MultiPolygonsView\";class f extends r.Glyph{constructor(e){super(e)}static init_MultiPolygons(){this.prototype.default_view=y,this.coords([[\"xs\",\"ys\"]]),this.mixins([_.LineVector,_.FillVector,_.HatchVector])}}s.MultiPolygons=f,f.__name__=\"MultiPolygons\",f.init_MultiPolygons()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const l=e(216);class s extends l.EllipseOvalView{_map_data(){super._map_data();const{sw:e}=this,t=e.length;for(let a=0;a<t;a++)e[a]*=.75}}a.OvalView=s,s.__name__=\"OvalView\";class _ extends l.EllipseOval{constructor(e){super(e)}static init_Oval(){this.prototype.default_view=s}}a.Oval=_,_.__name__=\"Oval\",_.init_Oval()},\n      function _(s,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=s(1),n=s(85),r=s(89),o=s(92),l=s(9),_=s(12),h=s(23),c=i.__importStar(s(93)),a=s(79),d=s(11);class u extends r.GlyphView{_build_discontinuous_object(s){const t=[];for(let e=0,i=s.length;e<i;e++){t[e]=[];let i=l.copy(s[e]);for(;i.length>0;){const s=l.find_last_index(i,s=>isNaN(s));let n;s>=0?n=i.splice(s):(n=i,i=[]);const r=n.filter(s=>!isNaN(s));t[e].push(r)}}return t}_index_data(){const s=this._build_discontinuous_object(this._xs),t=this._build_discontinuous_object(this._ys),e=[];for(let i=0,n=this._xs.length;i<n;i++)for(let n=0,r=s[i].length;n<r;n++){const r=s[i][n],o=t[i][n];0!=r.length&&e.push({x0:l.min(r),y0:l.min(o),x1:l.max(r),y1:l.max(o),i})}return new n.SpatialIndex(e)}_mask_data(){const s=this.renderer.plot_view.frame.x_ranges.default,[t,e]=[s.min,s.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:e,y0:n,y1:r}).sort((s,t)=>s-t)}_inner_loop(s,t,e,i){for(let n=0,r=t.length;n<r;n++)0!=n?isNaN(t[n]+e[n])?(s.closePath(),i.apply(s),s.beginPath()):s.lineTo(t[n],e[n]):(s.beginPath(),s.moveTo(t[n],e[n]));s.closePath(),i.call(s)}_render(s,t,{sxs:e,sys:i}){this.sxss=this._build_discontinuous_object(e),this.syss=this._build_discontinuous_object(i);for(const n of t){const[t,r]=[e[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,n),this._inner_loop(s,t,r,s.fill)),this.visuals.hatch.doit2(s,n,()=>this._inner_loop(s,t,r,s.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),this._inner_loop(s,t,r,s.stroke))}}_hit_rect(s){const{sx0:t,sx1:e,sy0:i,sy1:n}=s,r=[t,e,e,t],o=[i,i,n,n],[l,_]=this.renderer.xscale.r_invert(t,e),[h,d]=this.renderer.yscale.r_invert(i,n),u=this.index.indices({x0:l,x1:_,y0:h,y1:d}),x=[];for(let s=0,t=u.length;s<t;s++){const t=u[s],e=this.sxs[t],i=this.sys[t];let n=!0;for(let s=0,t=e.length;s<t;s++){const t=e[s],l=i[s];if(!c.point_in_poly(t,l,r,o)){n=!1;break}}n&&x.push(t)}return new a.Selection({indices:x})}_hit_point(s){const{sx:t,sy:e}=s,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(e),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=[];for(let s=0,i=r.length;s<i;s++){const i=r[s],n=this.sxss[i],l=this.syss[i];for(let s=0,r=n.length;s<r;s++)c.point_in_poly(t,e,n[s],l[s])&&o.push(i)}return new a.Selection({indices:o})}_get_snap_coord(s){return _.sum(s)/s.length}scenterx(s,t,e){if(1==this.sxss[s].length)return this._get_snap_coord(this.sxs[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(i[s])}d.unreachable()}scentery(s,t,e){if(1==this.syss[s].length)return this._get_snap_coord(this.sys[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(n[s])}d.unreachable()}draw_legend_for_index(s,t,e){o.generic_area_legend(this.visuals,s,t,e)}}e.PatchesView=u,u.__name__=\"PatchesView\";class x extends r.Glyph{constructor(s){super(s)}static init_Patches(){this.prototype.default_view=u,this.coords([[\"xs\",\"ys\"]]),this.mixins([h.LineVector,h.FillVector,h.HatchVector])}}e.Patches=x,x.__name__=\"Patches\",x.init_Patches()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(218);class _ extends i.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._right.length)}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}s.QuadView=_,_.__name__=\"QuadView\";class o extends i.Box{constructor(t){super(t)}static init_Quad(){this.prototype.default_view=_,this.coords([[\"right\",\"bottom\"],[\"left\",\"top\"]])}}s.Quad=o,o.__name__=\"Quad\",o.init_Quad()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(23),n=t(85),r=t(89),_=t(92);function a(t,i,e){if(i==(t+e)/2)return[t,e];{const s=(t-i)/(t-2*i+e),n=t*(1-s)**2+2*i*(1-s)*s+e*s**2;return[Math.min(t,e,n),Math.max(t,e,n)]}}class c extends r.GlyphView{_index_data(){const t=[];for(let i=0,e=this._x0.length;i<e;i++){if(isNaN(this._x0[i]+this._x1[i]+this._y0[i]+this._y1[i]+this._cx[i]+this._cy[i]))continue;const[e,s]=a(this._x0[i],this._cx[i],this._x1[i]),[n,r]=a(this._y0[i],this._cy[i],this._y1[i]);t.push({x0:e,y0:n,x1:s,y1:r,i})}return new n.SpatialIndex(t)}_render(t,i,{sx0:e,sy0:s,sx1:n,sy1:r,scx:_,scy:a}){if(this.visuals.line.doit)for(const c of i)isNaN(e[c]+s[c]+n[c]+r[c]+_[c]+a[c])||(t.beginPath(),t.moveTo(e[c],s[c]),t.quadraticCurveTo(_[c],a[c],n[c],r[c]),this.visuals.line.set_vectorize(t,c),t.stroke())}draw_legend_for_index(t,i,e){_.generic_line_legend(this.visuals,t,i,e)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}e.QuadraticView=c,c.__name__=\"QuadraticView\";class o extends r.Glyph{constructor(t){super(t)}static init_Quadratic(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx\",\"cy\"]]),this.mixins(s.LineVector)}}e.Quadratic=o,o.__name__=\"Quadratic\",o.init_Quadratic()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),a=e(92),l=e(23),r=s.__importStar(e(18));class _ extends n.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this._length):this.slength=this._length}_render(e,t,{sx:i,sy:s,slength:n,_angle:a}){if(this.visuals.line.doit){const l=2*(this.renderer.plot_view.frame._width.value+this.renderer.plot_view.frame._height.value);for(let e=0,t=n.length;e<t;e++)0==n[e]&&(n[e]=l);for(const l of t)isNaN(i[l]+s[l]+a[l]+n[l])||(e.translate(i[l],s[l]),e.rotate(a[l]),e.beginPath(),e.moveTo(0,0),e.lineTo(n[l],0),this.visuals.line.set_vectorize(e,l),e.stroke(),e.rotate(-a[l]),e.translate(-i[l],-s[l]))}}draw_legend_for_index(e,t,i){a.generic_line_legend(this.visuals,e,t,i)}}i.RayView=_,_.__name__=\"RayView\";class h extends n.XYGlyph{constructor(e){super(e)}static init_Ray(){this.prototype.default_view=_,this.mixins(l.LineVector),this.define({length:[r.DistanceSpec],angle:[r.AngleSpec]})}}i.Ray=h,h.__name__=\"Ray\",h.init_Ray()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(214),a=t(92),r=i.__importStar(t(18)),n=t(12),_=t(79);class l extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this._width,this.renderer.xscale);else{this.sw=this._width;const t=this.sx.length;this.sx0=new Float64Array(t);for(let s=0;s<t;s++)this.sx0[s]=this.sx[s]-this.sw[s]/2}if(\"data\"==this.model.properties.height.units)[this.sh,this.sy1]=this._map_dist_corner_for_data_side_length(this._y,this._height,this.renderer.yscale);else{this.sh=this._height;const t=this.sy.length;this.sy1=new Float64Array(t);for(let s=0;s<t;s++)this.sy1[s]=this.sy[s]-this.sh[s]/2}const t=this.sw.length;this.ssemi_diag=new Float64Array(t);for(let s=0;s<t;s++)this.ssemi_diag[s]=Math.sqrt(this.sw[s]/2*this.sw[s]/2+this.sh[s]/2*this.sh[s]/2)}_render(t,s,{sx:e,sy:i,sx0:h,sy1:a,sw:r,sh:n,_angle:_}){if(this.visuals.fill.doit)for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||(this.visuals.fill.set_vectorize(t,l),_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.fillRect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.fillRect(h[l],a[l],r[l],n[l]));if(this.visuals.line.doit){t.beginPath();for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||0!=r[l]&&0!=n[l]&&(_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.rect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.rect(h[l],a[l],r[l],n[l]),this.visuals.line.set_vectorize(t,l),t.stroke(),t.beginPath());t.stroke()}}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){let{sx:s,sy:e}=t;const i=this.renderer.xscale.invert(s),h=this.renderer.yscale.invert(e),a=[];for(let t=0,s=this.sx0.length;t<s;t++)a.push(this.sx0[t]+this.sw[t]/2);const r=[];for(let t=0,s=this.sy1.length;t<s;t++)r.push(this.sy1[t]+this.sh[t]/2);const l=n.max(this._ddist(0,a,this.ssemi_diag)),o=n.max(this._ddist(1,r,this.ssemi_diag)),d=i-l,c=i+l,x=h-o,y=h+o,f=[];for(const t of this.index.indices({x0:d,x1:c,y0:x,y1:y})){let i,h;if(this._angle[t]){const a=Math.sin(-this._angle[t]),r=Math.cos(-this._angle[t]),n=r*(s-this.sx[t])-a*(e-this.sy[t])+this.sx[t],_=a*(s-this.sx[t])+r*(e-this.sy[t])+this.sy[t];s=n,e=_,h=Math.abs(this.sx[t]-s)<=this.sw[t]/2,i=Math.abs(this.sy[t]-e)<=this.sh[t]/2}else h=s-this.sx0[t]<=this.sw[t]&&s-this.sx0[t]>=0,i=e-this.sy1[t]<=this.sh[t]&&e-this.sy1[t]>=0;i&&h&&f.push(t)}return new _.Selection({indices:f})}_map_dist_corner_for_data_side_length(t,s,e){const i=t.length,h=new Float64Array(i),a=new Float64Array(i);for(let e=0;e<i;e++)h[e]=Number(t[e])-s[e]/2,a[e]=Number(t[e])+s[e]/2;const r=e.v_compute(h),n=e.v_compute(a),_=this.sdist(e,h,s,\"edge\",this.model.dilate);let l=r;for(let t=0,s=r.length;t<s;t++)if(r[t]!=n[t]){l=r[t]<n[t]?r:n;break}return[_,l]}_ddist(t,s,e){const i=0==t?this.renderer.xscale:this.renderer.yscale,h=s,a=h.length,r=new Float64Array(a);for(let t=0;t<a;t++)r[t]=h[t]+e[t];const n=i.v_invert(h),_=i.v_invert(r),l=n.length,o=new Float64Array(l);for(let t=0;t<l;t++)o[t]=Math.abs(_[t]-n[t]);return o}draw_legend_for_index(t,s,e){a.generic_area_legend(this.visuals,t,s,e)}_bounds({x0:t,x1:s,y0:e,y1:i}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:e-this.max_h2,y1:i+this.max_h2}}}e.RectView=l,l.__name__=\"RectView\";class o extends h.CenterRotatable{constructor(t){super(t)}static init_Rect(){this.prototype.default_view=l,this.define({dilate:[r.Boolean,!1]})}}e.Rect=o,o.__name__=\"Rect\",o.init_Rect()},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1).__importStar(e(93)),n=e(23),r=e(85),h=e(89),_=e(92),a=e(79);class c extends h.GlyphView{_index_data(){const e=[];for(let s=0,t=this._x0.length;s<t;s++){const t=this._x0[s],i=this._x1[s],n=this._y0[s],r=this._y1[s];isNaN(t+i+n+r)||e.push({x0:Math.min(t,i),y0:Math.min(n,r),x1:Math.max(t,i),y1:Math.max(n,r),i:s})}return new r.SpatialIndex(e)}_render(e,s,{sx0:t,sy0:i,sx1:n,sy1:r}){if(this.visuals.line.doit)for(const h of s)isNaN(t[h]+i[h]+n[h]+r[h])||(e.beginPath(),e.moveTo(t[h],i[h]),e.lineTo(n[h],r[h]),this.visuals.line.set_vectorize(e,h),e.stroke())}_hit_point(e){const{sx:s,sy:t}=e,n={x:s,y:t},[r,h]=this.renderer.xscale.r_invert(s-2,s+2),[_,c]=this.renderer.yscale.r_invert(t-2,t+2),o=this.index.indices({x0:r,y0:_,x1:h,y1:c}),x=[];for(const e of o){const s=Math.max(2,this.visuals.line.cache_select(\"line_width\",e)/2)**2,t={x:this.sx0[e],y:this.sy0[e]},r={x:this.sx1[e],y:this.sy1[e]};i.dist_to_segment_squared(n,t,r)<s&&x.push(e)}return new a.Selection({indices:x})}_hit_span(e){const[s,t]=this.renderer.plot_view.frame.bbox.ranges,{sx:i,sy:n}=e;let r,h,_;\"v\"==e.direction?(_=this.renderer.yscale.invert(n),[r,h]=[this._y0,this._y1]):(_=this.renderer.xscale.invert(i),[r,h]=[this._x0,this._x1]);const c=[],[o,x]=this.renderer.xscale.r_invert(s.start,s.end),[l,d]=this.renderer.yscale.r_invert(t.start,t.end),y=this.index.indices({x0:o,y0:l,x1:x,y1:d});for(const s of y){(r[s]<=_&&_<=h[s]||h[s]<=_&&_<=r[s])&&c.push(s);const t=1.5+this.visuals.line.cache_select(\"line_width\",s)/2;r[s]==h[s]&&(\"h\"==e.direction?Math.abs(this.sx0[s]-i)<=t&&c.push(s):Math.abs(this.sy0[s]-n)<=t&&c.push(s))}return new a.Selection({indices:c})}scenterx(e){return(this.sx0[e]+this.sx1[e])/2}scentery(e){return(this.sy0[e]+this.sy1[e])/2}draw_legend_for_index(e,s,t){_.generic_line_legend(this.visuals,e,s,t)}}t.SegmentView=c,c.__name__=\"SegmentView\";class o extends h.Glyph{constructor(e){super(e)}static init_Segment(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"]]),this.mixins(n.LineVector)}}t.Segment=o,o.__name__=\"Segment\",o.init_Segment()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(84),o=e(92),r=e(23),l=n.__importStar(e(18));class a extends s.XYGlyphView{_render(e,t,{sx:i,sy:n}){let s=!1,o=null;this.visuals.line.set_value(e);const r=t.length;if(!(r<2)){e.beginPath(),e.moveTo(i[0],n[0]);for(const r of t){let t,l,a,_;switch(this.model.mode){case\"before\":[t,a]=[i[r-1],n[r]],[l,_]=[i[r],n[r]];break;case\"after\":[t,a]=[i[r],n[r-1]],[l,_]=[i[r],n[r]];break;case\"center\":{const e=(i[r-1]+i[r])/2;[t,a]=[e,n[r-1]],[l,_]=[e,n[r]];break}default:throw new Error(\"unexpected\")}if(s){if(!isFinite(i[r]+n[r])){e.stroke(),e.beginPath(),s=!1,o=r;continue}null!=o&&r-o>1&&(e.stroke(),s=!1)}s?(e.lineTo(t,a),e.lineTo(l,_)):(e.beginPath(),e.moveTo(i[r],n[r]),s=!0),o=r}e.lineTo(i[r-1],n[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}}i.StepView=a,a.__name__=\"StepView\";class _ extends s.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=a,this.mixins(r.LineVector),this.define({mode:[l.StepMode,\"before\"]})}}i.Step=_,_.__name__=\"Step\",_.init_Step()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(84),_=t(23),o=i.__importStar(t(93)),h=i.__importStar(t(18)),r=t(132),l=t(11),a=t(79);class c extends n.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,{sx:s,sy:i,_x_offset:n,_y_offset:_,_angle:o,_text:h}){this._sys=[],this._sxs=[];for(const l of e)if(this._sxs[l]=[],this._sys[l]=[],!isNaN(s[l]+i[l]+n[l]+_[l]+o[l])&&null!=h[l]&&this.visuals.text.doit){const e=\"\"+h[l];t.save(),t.translate(s[l]+n[l],i[l]+_[l]),t.rotate(o[l]),this.visuals.text.set_vectorize(t,l);const a=this.visuals.text.cache_select(\"font\",l),{height:c}=r.measure_font(a),x=this.visuals.text.text_line_height.value()*c;if(-1==e.indexOf(\"\\n\")){t.fillText(e,0,0);const o=s[l]+n[l],h=i[l]+_[l],r=t.measureText(e).width,[a,c]=this._text_bounds(o,h,r,x);this._sxs[l].push(a),this._sys[l].push(c)}else{const o=e.split(\"\\n\"),h=x*o.length,r=this.visuals.text.cache_select(\"text_baseline\",l);let a;switch(r){case\"top\":a=0;break;case\"middle\":a=-h/2+x/2;break;case\"bottom\":a=-h+x;break;default:a=0,console.warn(`'${r}' baseline not supported with multi line text`)}for(const e of o){t.fillText(e,0,a);const o=s[l]+n[l],h=a+i[l]+_[l],r=t.measureText(e).width,[c,u]=this._text_bounds(o,h,r,x);this._sxs[l].push(c),this._sys[l].push(u),a+=x}}t.restore()}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t<this._sxs.length;t++){const n=this._sxs[t],_=this._sys[t],h=n.length;for(let r=0,l=h;r<l;r++){const[l,a]=this._rotate_point(e,s,n[h-1][0],_[h-1][0],-this._angle[t]);o.point_in_poly(l,a,n[r],_[r])&&i.push(t)}}return new a.Selection({indices:i})}_scenterxy(t){const e=this._sxs[t],s=this._sys[t];l.assert(0!=e.length&&0!=s.length);const i=e[0][0],n=s[0][0],_=(e[0][2]+i)/2,o=(s[0][2]+n)/2,[h,r]=this._rotate_point(_,o,i,n,this._angle[t]);return{x:h,y:r}}scenterx(t){return this._scenterxy(t).x}scentery(t){return this._scenterxy(t).y}}s.TextView=c,c.__name__=\"TextView\";class x extends n.XYGlyph{constructor(t){super(t)}static init_Text(){this.prototype.default_view=c,this.mixins(_.TextVector),this.define({text:[h.NullStringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,0],y_offset:[h.NumberSpec,0]})}}s.Text=x,x.__name__=\"Text\",x.init_Text()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class o extends h.BoxView{scenterx(t){return this.sx[t]}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._x.length)}_lrtb(t){return[this._x[t]-this._width[t]/2,this._x[t]+this._width[t]/2,Math.max(this._top[t],this._bottom[t]),Math.min(this._top[t],this._bottom[t])]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new Float64Array(t),this.sright=new Float64Array(t);for(let s=0;s<t;s++)this.sleft[s]=this.sx[s]-this.sw[s]/2,this.sright[s]=this.sx[s]+this.sw[s]/2;this._clamp_viewport()}}e.VBarView=o,o.__name__=\"VBarView\";class _ extends h.Box{constructor(t){super(t)}static init_VBar(){this.prototype.default_view=o,this.coords([[\"x\",\"bottom\"]]),this.define({width:[r.NumberSpec],top:[r.CoordinateSpec]}),this.override({bottom:0})}}e.VBar=_,_.__name__=\"VBar\",_.init_VBar()},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),d=e(10),o=e(79);class l extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,s,{sx:t,sy:i,sradius:r,_start_angle:n,_end_angle:a}){const _=this.model.properties.direction.value();for(const d of s)isNaN(t[d]+i[d]+r[d]+n[d]+a[d])||(e.beginPath(),e.arc(t[d],i[d],r[d],n[d],a[d],_),e.lineTo(t[d],i[d]),e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,d),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,d),e.stroke()))}_hit_point(e){let s,t,i,r,n,a,_,l,c;const{sx:h,sy:u}=e,p=this.renderer.xscale.invert(h),x=this.renderer.yscale.invert(u),g=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=p-g,_=p+g,l=x-g,c=x+g):(t=h-g,i=h+g,[a,_]=this.renderer.xscale.r_invert(t,i),r=u-g,n=u+g,[l,c]=this.renderer.yscale.r_invert(r,n));const y=[];for(const e of this.index.indices({x0:a,x1:_,y0:l,y1:c})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(p,this._x[e]),[r,n]=this.renderer.yscale.r_compute(x,this._y[e]),s=(t-i)**2+(r-n)**2,s<=a&&y.push([e,s])}const f=this.model.properties.direction.value(),v=[];for(const[e,s]of y){const t=Math.atan2(u-this.sy[e],h-this.sx[e]);d.angle_between(-t,-this._start_angle[e],-this._end_angle[e],f)&&v.push([e,s])}return o.Selection.from_hits(v)}draw_legend_for_index(e,s,t){n.generic_area_legend(this.visuals,e,s,t)}_scenterxy(e){const s=this.sradius[e]/2,t=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+s*Math.cos(t),y:this.sy[e]+s*Math.sin(t)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}t.WedgeView=l,l.__name__=\"WedgeView\";class c extends r.XYGlyph{constructor(e){super(e)}static init_Wedge(){this.prototype.default_view=l,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}t.Wedge=c,c.__name__=\"Wedge\",c.init_Wedge()},\n      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const r=e(1);r.__exportStar(e(101),_),r.__exportStar(e(239),_),r.__exportStar(e(240),_)},\n      function _(e,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=e(71);class n extends t.Model{constructor(e){super(e)}}r.LayoutProvider=n,n.__name__=\"LayoutProvider\"},\n      function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(1),r=t(239),s=o.__importStar(t(18));class n extends r.LayoutProvider{constructor(t){super(t)}static init_StaticLayoutProvider(){this.define({graph_layout:[s.Any,{}]})}get_node_coordinates(t){const a=[],e=[],o=t.data.index;for(let t=0,r=o.length;t<r;t++){const r=this.graph_layout[o[t]],[s,n]=null!=r?r:[NaN,NaN];a.push(s),e.push(n)}return[a,e]}get_edge_coordinates(t){const a=[],e=[],o=t.data.start,r=t.data.end,s=null!=t.data.xs&&null!=t.data.ys;for(let n=0,u=o.length;n<u;n++){const u=null!=this.graph_layout[o[n]]&&null!=this.graph_layout[r[n]];if(s&&u)a.push(t.data.xs[n]),e.push(t.data.ys[n]);else{let t,s;[s,t]=u?[this.graph_layout[o[n]],this.graph_layout[r[n]]]:[[NaN,NaN],[NaN,NaN]],a.push([s[0],t[0]]),e.push([s[1],t[1]])}}return[a,e]}}e.StaticLayoutProvider=n,n.__name__=\"StaticLayoutProvider\",n.init_StaticLayoutProvider()},\n      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var i=e(242);d.Grid=i.Grid},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),s=e(151),r=n.__importStar(e(23)),_=n.__importStar(e(18)),o=e(8);class a extends s.GuideRendererView{render(){if(!this.model.visible)return;const e=this.layer.ctx;e.save(),this._draw_regions(e),this._draw_minor_grids(e),this._draw_grids(e),e.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render())}_draw_regions(e){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;this.visuals.band_fill.set_value(e);const[i,t]=this.grid_coords(\"major\",!1);for(let n=0;n<i.length-1;n++){if(n%2!=1)continue;const[s,r]=this.plot_view.map_to_screen(i[n],t[n],this.model.x_range_name,this.model.y_range_name),[_,o]=this.plot_view.map_to_screen(i[n+1],t[n+1],this.model.x_range_name,this.model.y_range_name);this.visuals.band_fill.doit&&e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0]),this.visuals.band_hatch.doit2(e,n,()=>{e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0])},()=>this.request_render())}}_draw_grids(e){if(!this.visuals.grid_line.doit)return;const[i,t]=this.grid_coords(\"major\");this._draw_grid_helper(e,this.visuals.grid_line,i,t)}_draw_minor_grids(e){if(!this.visuals.minor_grid_line.doit)return;const[i,t]=this.grid_coords(\"minor\");this._draw_grid_helper(e,this.visuals.minor_grid_line,i,t)}_draw_grid_helper(e,i,t,n){i.set_value(e);for(let i=0;i<t.length;i++){const[s,r]=this.plot_view.map_to_screen(t[i],n[i],this.model.x_range_name,this.model.y_range_name);e.beginPath(),e.moveTo(Math.round(s[0]),Math.round(r[0]));for(let i=1;i<s.length;i++)e.lineTo(Math.round(s[i]),Math.round(r[i]));e.stroke()}}ranges(){const e=this.model.dimension,i=(e+1)%2,t=this.plot_view.frame,n=[t.x_ranges[this.model.x_range_name],t.y_ranges[this.model.y_range_name]];return[n[e],n[i]]}computed_bounds(){const[e]=this.ranges(),i=this.model.bounds,t=[e.min,e.max];let n,s;if(o.isArray(i))n=Math.min(i[0],i[1]),s=Math.max(i[0],i[1]),n<t[0]&&(n=t[0]),s>t[1]&&(s=t[1]);else{[n,s]=t;for(const e of this.plot_view.axis_views)e.dimension==this.model.dimension&&e.model.x_range_name==this.model.x_range_name&&e.model.y_range_name==this.model.y_range_name&&([n,s]=e.computed_bounds)}return[n,s]}grid_coords(e,i=!0){const t=this.model.dimension,n=(t+1)%2,[s,r]=this.ranges();let[_,o]=this.computed_bounds();[_,o]=[Math.min(_,o),Math.max(_,o)];const a=[[],[]],d=this.model.get_ticker();if(null==d)return a;const l=d.get_ticks(_,o,s,r.min,{})[e],h=s.min,m=s.max,c=r.min,u=r.max;i||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=m&&l.push(m));for(let e=0;e<l.length;e++){if((l[e]==h||l[e]==m)&&i)continue;const s=[],r=[],_=2;for(let i=0;i<_;i++){const t=c+(u-c)/(_-1)*i;s.push(l[e]),r.push(t)}a[t].push(s),a[n].push(r)}return a}}t.GridView=a,a.__name__=\"GridView\";class d extends s.GuideRenderer{constructor(e){super(e)}static init_Grid(){this.prototype.default_view=a,this.mixins([[\"grid_\",r.Line],[\"minor_grid_\",r.Line],[\"band_\",r.Fill],[\"band_\",r.Hatch]]),this.define({bounds:[_.Any,\"auto\"],dimension:[_.Any,0],axis:[_.Instance],ticker:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}t.Grid=d,d.__name__=\"Grid\",d.init_Grid()},\n      function _(a,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});var e=a(244);r.Box=e.Box;var v=a(247);r.Column=v.Column;var x=a(248);r.GridBox=x.GridBox;var B=a(249);r.HTMLBox=B.HTMLBox;var n=a(245);r.LayoutDOM=n.LayoutDOM;var t=a(250);r.Row=t.Row;var u=a(251);r.Spacer=u.Spacer;var d=a(252);r.Panel=d.Panel,r.Tabs=d.Tabs;var i=a(259);r.WidgetBox=i.WidgetBox},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(245),o=n.__importStar(e(18));class c extends s.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends s.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define({children:[o.Array,[]],spacing:[o.Number,0]})}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(71),l=t(68),n=t(72),h=t(8),a=s.__importStar(t(18)),_=t(99),r=t(66),d=t(246);class u extends r.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval(()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))},250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],()=>this.invalidate_layout()),this.on_change([t.background,t.css_classes],()=>this.invalidate_render())}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map(t=>this._child_views.get(t))}async build_child_views(){await _.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),l.empty(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?t:\"\",l.classes(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_root?this.layout.sizing.margin:void 0;l.position(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build()}build(){return this.assert_root(),this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),n.logger.debug(`layout computed in ${Date.now()-t} ms`),this.notify_finished()}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:a,height:_}=this.model;null!=a&&(o.width=a),null!=_&&(o.height=_);const{max_width:r,max_height:d}=this.model;null!=r&&(o.max_width=r),null!=d&&(o.max_height=d),\"auto\"==e&&null!=a&&null!=_?o.aspect=a/_:h.isNumber(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if(h.isNumber(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:c}=this.model;return h.isArray(c)?[o.halign,o.valign]=c:o.halign=o.valign=c,o}_viewport_size(){return l.undisplayed(this.el,()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(d.bk_root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=l.extents(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=l.extents(t),{width:n,height:h}=t.getBoundingClientRect(),a=Math.ceil(n-i-e),_=Math.ceil(h-s-o);if(a>0||_>0)return{width:a>0?a:void 0,height:_>0?_:void 0}}return{}})}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map(t=>t.serializable_state())})}}e.LayoutDOMView=u,u.__name__=\"LayoutDOMView\";class c extends o.Model{constructor(t){super(t)}static init_LayoutDOM(){this.define({width:[a.Number,null],height:[a.Number,null],min_width:[a.Number,null],min_height:[a.Number,null],max_width:[a.Number,null],max_height:[a.Number,null],margin:[a.Any,[0,0,0,0]],width_policy:[a.Any,\"auto\"],height_policy:[a.Any,\"auto\"],aspect_ratio:[a.Any,null],sizing_mode:[a.SizingMode,null],visible:[a.Boolean,!0],disabled:[a.Boolean,!1],align:[a.Any,\"start\"],background:[a.Color,null],css_classes:[a.Array,[]]})}}e.LayoutDOM=c,c.__name__=\"LayoutDOM\",c.init_LayoutDOM()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_root=\"bk-root\"},\n      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),n=t(192),l=s.__importStar(t(18));class u extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new n.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class _ extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define({rows:[l.Any,\"auto\"]})}}i.Column=_,_.__name__=\"Column\",_.init_Column()},\n      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1),e=t(245),n=t(192),l=o.__importStar(t(18));class r extends e.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children.map(([t])=>t)}_update_layout(){this.layout=new n.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,i,s,o,e]of this.model.children){const n=this._child_views.get(t);this.layout.items.push({layout:n.layout,row:i,col:s,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}s.GridBoxView=r,r.__name__=\"GridBoxView\";class a extends e.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=r,this.define({children:[l.Array,[]],rows:[l.Any,\"auto\"],cols:[l.Any,\"auto\"],spacing:[l.Any,0]})}}s.GridBox=a,a.__name__=\"GridBox\",a.init_GridBox()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(245),_=e(188);class n extends s.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new _.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=n,n.__name__=\"HTMLBoxView\";class i extends s.LayoutDOM{constructor(e){super(e)}}o.HTMLBox=i,i.__name__=\"HTMLBox\"},\n      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),_=t(192),a=s.__importStar(t(18));class n extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new _.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=n,n.__name__=\"RowView\";class l extends e.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=n,this.define({cols:[a.Any,\"auto\"]})}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(245),s=e(188);class _ extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new s.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=_,_.__name__=\"SpacerView\";class o extends i.LayoutDOM{constructor(e){super(e)}static init_Spacer(){this.prototype.default_view=_}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(188),l=e(68),h=e(9),o=i.__importStar(e(18)),c=e(245),d=e(71),r=e(146),n=e(253),_=e(254),b=e(255),p=i.__importDefault(e(256)),u=i.__importDefault(e(257)),m=i.__importDefault(e(258));class v extends c.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,()=>this.rebuild()),this.connect(this.model.properties.active.change,()=>this.on_active_change())}styles(){return[...super.styles(),p.default,u.default,m.default]}get child_models(){return this.model.tabs.map(e=>e.child)}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const a=l.size(s),o=l.children(i).slice(0,3).map(e=>l.size(e)),{width:c,height:d}=super._measure(e);if(t){const t=a.width+h.sum(o.map(e=>e.width));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+h.sum(o.map(e=>e.height));return{width:c,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let o=1,c=1;switch(e){case\"above\":o-=1;break;case\"below\":o+=1;break;case\"left\":c-=1;break;case\"right\":c+=1}const d={layout:this.header,row:o,col:c},r=this.child_views.map(e=>({layout:e.layout,row:1,col:1}));this.layout=new a.Grid([d,...r]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",l.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=l.size(this.scroll_el),i=l.scroll_size(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",l.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",l.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)l.hide(e.el);const h=a[this.model.active];null!=h&&l.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map((t,s)=>{const i=l.div({class:[n.bk_tab,s==e?r.bk_active:null]},t.title);if(i.addEventListener(\"click\",e=>{e.target==e.currentTarget&&this.change_active(s)}),t.closable){const e=l.div({class:n.bk_close});e.addEventListener(\"click\",e=>{if(e.target==e.currentTarget){this.model.tabs=h.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}}),i.appendChild(e)}return i});this.headers_el=l.div({class:[n.bk_headers]},i),this.wrapper_el=l.div({class:n.bk_headers_wrapper},this.headers_el);const a=l.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},l.div({class:[b.bk_caret,r.bk_left]})),o=l.div({class:[_.bk_btn,_.bk_btn_default]},l.div({class:[b.bk_caret,r.bk_right]}));let c=0;const d=e=>()=>{const t=this.model.tabs.length;c=\"left\"==e?Math.max(c-1,0):Math.min(c+1,t-1),0==c?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),c==t-1?o.setAttribute(\"disabled\",\"\"):o.removeAttribute(\"disabled\");const i=l.children(this.headers_el).slice(0,c).map(e=>e.getBoundingClientRect());if(s){const e=-h.sum(i.map(e=>e.width));this.headers_el.style.left=e+\"px\"}else{const e=-h.sum(i.map(e=>e.height));this.headers_el.style.top=e+\"px\"}};a.addEventListener(\"click\",d(\"left\")),o.addEventListener(\"click\",d(\"right\")),this.scroll_el=l.div({class:_.bk_btn_group},a,o),this.header_el=l.div({class:[n.bk_tabs_header,r.bk_side(t)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=l.children(this.headers_el);for(const e of t)e.classList.remove(r.bk_active);t[e].classList.add(r.bk_active);const{child_views:s}=this;for(const e of s)l.hide(e.el);l.show(s[e].el)}}s.TabsView=v,v.__name__=\"TabsView\";class g extends c.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=v,this.define({tabs:[o.Array,[]],tabs_location:[o.Location,\"above\"],active:[o.Number,0]})}}s.Tabs=g,g.__name__=\"Tabs\",g.init_Tabs();class w extends d.Model{constructor(e){super(e)}static init_Panel(){this.define({title:[o.String,\"\"],child:[o.Instance],closable:[o.Boolean,!1]})}}s.Panel=w,w.__name__=\"Panel\",w.init_Panel()},\n      function _(e,b,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.bk_tabs_header=\"bk-tabs-header\",a.bk_headers_wrapper=\"bk-headers-wrapper\",a.bk_headers=\"bk-headers\",a.bk_tab=\"bk-tab\",a.bk_close=\"bk-close\"},\n      function _(n,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_btn=\"bk-btn\",t.bk_btn_group=\"bk-btn-group\",t.bk_btn_default=\"bk-btn-default\",t.bk_btn_primary=\"bk-btn-primary\",t.bk_btn_success=\"bk-btn-success\",t.bk_btn_warning=\"bk-btn-warning\",t.bk_btn_danger=\"bk-btn-danger\",t.bk_btn_type=function(n){switch(n){case\"default\":return t.bk_btn_default;case\"primary\":return t.bk_btn_primary;case\"success\":return t.bk_btn_success;case\"warning\":return t.bk_btn_warning;case\"danger\":return t.bk_btn_danger}},t.bk_dropdown_toggle=\"bk-dropdown-toggle\"},\n      function _(e,b,d){Object.defineProperty(d,\"__esModule\",{value:!0}),d.bk_menu=\"bk-menu\",d.bk_caret=\"bk-caret\",d.bk_divider=\"bk-divider\"},\n      function _(n,o,b){Object.defineProperty(b,\"__esModule\",{value:!0});b.default=\"\\n.bk-root .bk-btn {\\n  height: 100%;\\n  display: inline-block;\\n  text-align: center;\\n  vertical-align: middle;\\n  white-space: nowrap;\\n  cursor: pointer;\\n  padding: 6px 12px;\\n  font-size: 12px;\\n  border: 1px solid transparent;\\n  border-radius: 4px;\\n  outline: 0;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-btn:hover,\\n.bk-root .bk-btn:focus {\\n  text-decoration: none;\\n}\\n.bk-root .bk-btn:active,\\n.bk-root .bk-btn.bk-active {\\n  background-image: none;\\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\\n}\\n.bk-root .bk-btn[disabled] {\\n  cursor: not-allowed;\\n  pointer-events: none;\\n  opacity: 0.65;\\n  box-shadow: none;\\n}\\n.bk-root .bk-btn-default {\\n  color: #333;\\n  background-color: #fff;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n  background-color: #f5f5f5;\\n  border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n  background-color: #ebebeb;\\n  border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n  background-color: #e6e6e6;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n  color: #fff;\\n  background-color: #428bca;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n  background-color: #3681c1;\\n  border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n  background-color: #3276b1;\\n  border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n  background-color: #506f89;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n  color: #fff;\\n  background-color: #5cb85c;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n  background-color: #4eb24e;\\n  border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n  background-color: #47a447;\\n  border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n  background-color: #667b66;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n  color: #fff;\\n  background-color: #f0ad4e;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n  background-color: #eea43b;\\n  border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n  background-color: #ed9c28;\\n  border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n  background-color: #c89143;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n  color: #fff;\\n  background-color: #d9534f;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n  background-color: #d5433e;\\n  border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n  background-color: #d2322d;\\n  border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n  background-color: #a55350;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n  height: 100%;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n  margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n  border-bottom-right-radius: 0;\\n  border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n  border-bottom-left-radius: 0;\\n  border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n  border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n  flex: 0 0 0;\\n  -webkit-flex: 0 0 0;\\n  padding: 6px 6px;\\n}\\n\"},\n      function _(n,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});r.default=\"\\n.bk-root .bk-menu-icon {\\n  width: 28px;\\n  height: 28px;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-context-menu {\\n  position: absolute;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n  width: auto;\\n  height: auto;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-context-menu.bk-horizontal {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-context-menu.bk-vertical {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-context-menu > .bk-divider {\\n  cursor: default;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > .bk-divider {\\n  width: 1px;\\n  margin: 5px 0;\\n}\\n.bk-root .bk-context-menu.bk-vertical > .bk-divider {\\n  height: 1px;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider) {\\n  border: 1px solid transparent;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider).bk-active {\\n  border-color: #26aae1;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider):hover {\\n  background-color: #f9f9f9;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-bottom-left-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child {\\n  border-top-right-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-top-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child {\\n  border-bottom-left-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-menu {\\n  position: absolute;\\n  left: 0;\\n  width: 100%;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n  bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n  top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n  height: 1px;\\n  margin: 7.5px 0;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n  padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n  background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n  display: inline-block;\\n  vertical-align: middle;\\n  width: 0;\\n  height: 0;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-caret.bk-down {\\n  border-top: 4px solid;\\n}\\n.bk-root .bk-caret.bk-up {\\n  border-bottom: 4px solid;\\n}\\n.bk-root .bk-caret.bk-down,\\n.bk-root .bk-caret.bk-up {\\n  border-right: 4px solid transparent;\\n  border-left: 4px solid transparent;\\n}\\n.bk-root .bk-caret.bk-left {\\n  border-right: 4px solid;\\n}\\n.bk-root .bk-caret.bk-right {\\n  border-left: 4px solid;\\n}\\n.bk-root .bk-caret.bk-left,\\n.bk-root .bk-caret.bk-right {\\n  border-top: 4px solid transparent;\\n  border-bottom: 4px solid transparent;\\n}\\n\"},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default='\\n.bk-root .bk-tabs-header {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  overflow: hidden;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group {\\n  height: auto;\\n  margin-right: 5px;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group > .bk-btn {\\n  flex-grow: 0;\\n  -webkit-flex-grow: 0;\\n  height: auto;\\n  padding: 4px 4px;\\n}\\n.bk-root .bk-tabs-header .bk-headers-wrapper {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  overflow: hidden;\\n  color: #666666;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper {\\n  border-bottom: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper {\\n  border-left: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper {\\n  border-top: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper {\\n  border-right: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-above,\\n.bk-root .bk-tabs-header.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers,\\n.bk-root .bk-tabs-header.bk-below .bk-headers {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-left,\\n.bk-root .bk-tabs-header.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers,\\n.bk-root .bk-tabs-header.bk-right .bk-headers {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header .bk-headers {\\n  position: relative;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n}\\n.bk-root .bk-tabs-header .bk-tab {\\n  padding: 4px 8px;\\n  border: solid transparent;\\n  white-space: nowrap;\\n  cursor: pointer;\\n}\\n.bk-root .bk-tabs-header .bk-tab:hover {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .bk-tabs-header .bk-tab.bk-active {\\n  color: #4d4d4d;\\n  background-color: white;\\n  border-color: #e6e6e6;\\n}\\n.bk-root .bk-tabs-header .bk-tab .bk-close {\\n  margin-left: 10px;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-tab {\\n  border-width: 3px 1px 0px 1px;\\n  border-radius: 4px 4px 0 0;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-tab {\\n  border-width: 1px 3px 1px 0px;\\n  border-radius: 0 4px 4px 0;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-tab {\\n  border-width: 0px 1px 3px 1px;\\n  border-radius: 0 0 4px 4px;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-tab {\\n  border-width: 1px 0px 1px 3px;\\n  border-radius: 4px 0 0 4px;\\n}\\n.bk-root .bk-close {\\n  display: inline-block;\\n  width: 10px;\\n  height: 10px;\\n  vertical-align: middle;\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"gray\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"gray\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n.bk-root .bk-close:hover {\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"red\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"red\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n'},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(247);class _ extends o.ColumnView{}i.WidgetBoxView=_,_.__name__=\"WidgetBoxView\";class n extends o.Column{constructor(e){super(e)}static init_WidgetBox(){this.prototype.default_view=_}}i.WidgetBox=n,n.__name__=\"WidgetBox\",n.init_WidgetBox()},\n      function _(r,a,o){Object.defineProperty(o,\"__esModule\",{value:!0});var e=r(261);o.CategoricalColorMapper=e.CategoricalColorMapper;var p=r(263);o.CategoricalMarkerMapper=p.CategoricalMarkerMapper;var l=r(264);o.CategoricalPatternMapper=l.CategoricalPatternMapper;var C=r(116);o.ContinuousColorMapper=C.ContinuousColorMapper;var M=r(117);o.ColorMapper=M.ColorMapper;var t=r(115);o.LinearColorMapper=t.LinearColorMapper;var i=r(265);o.LogColorMapper=i.LogColorMapper},\n      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),a=r(262),c=r(117),i=o.__importStar(r(18));class s extends c.ColorMapper{constructor(r){super(r)}static init_CategoricalColorMapper(){this.define({factors:[i.Array],start:[i.Number,0],end:[i.Number]})}_v_compute(r,t,e,{nan_color:o}){a.cat_v_compute(r,this.factors,e,t,this.start,this.end,o)}}e.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(12),i=e(8);function u(e,n){if(e.length!=n.length)return!1;for(let t=0,l=e.length;t<l;t++)if(e[t]!==n[t])return!1;return!0}t._cat_equals=u,t.cat_v_compute=function(e,n,t,c,f,o,r){for(let _=0,g=e.length;_<g;_++){let 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init_CategoricalPatternMapper(){this.define({factors:[i.Array],patterns:[i.Array],start:[i.Number,0],end:[i.Number],default_value:[i.HatchPatternType,\" \"]})}v_compute(t){const e=new Array(t.length);return n.cat_v_compute(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=c,c.__name__=\"CategoricalPatternMapper\",c.init_CategoricalPatternMapper()},\n      function _(o,l,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=o(116),e=o(12);class i extends t.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,l,n,t){const{nan_color:i,low_color:h,high_color:c}=t,r=n.length,s=null!=this.low?this.low:e.min(o),u=null!=this.high?this.high:e.max(o),a=r/(Math.log(u)-Math.log(s)),g=n.length-1;for(let t=0,e=o.length;t<e;t++){const e=o[t];if(isNaN(e)){l[t]=i;continue}if(e>u){l[t]=null!=c?c:n[g];continue}if(e==u){l[t]=n[g];continue}if(e<s){l[t]=null!=h?h:n[0];continue}const r=Math.log(e)-Math.log(s);let 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c.Selection({indices:o})}_hit_poly(e){const{sx:s,sy:t}=e,i=h.range(0,this.sx.length),r=[];for(let e=0,n=i.length;e<n;e++){const n=i[e];a.point_in_poly(this.sx[e],this.sy[e],s,t)&&r.push(n)}return new c.Selection({indices:r})}draw_legend_for_index(e,{x0:s,x1:t,y0:i,y1:r},n){const a=n+1,_=new Array(a);_[n]=(s+t)/2;const h=new Array(a);h[n]=(i+r)/2;const c=new Array(a);c[n]=.4*Math.min(Math.abs(t-s),Math.abs(r-i));const o=new Array(a);o[n]=0,this._render(e,[n],{sx:_,sy:h,_size:c,_angle:o})}}t.MarkerView=o,o.__name__=\"MarkerView\";class x extends r.XYGlyph{constructor(e){super(e)}static init_Marker(){this.mixins([n.LineVector,n.FillVector]),this.define({size:[_.DistanceSpec,{units:\"screen\",value:4}],angle:[_.AngleSpec,0]})}}t.Marker=x,x.__name__=\"Marker\",x.init_Marker()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=e(1),s=e(268),n=e(267),i=a.__importStar(e(18));class _ extends s.MarkerView{_render(e,t,{sx:r,sy:a,_size:s,_angle:i,_marker:_}){for(const c of t){if(isNaN(r[c]+a[c]+s[c]+i[c])||null==_[c])continue;const t=s[c]/2;e.beginPath(),e.translate(r[c],a[c]),i[c]&&e.rotate(i[c]),n.marker_funcs[_[c]](e,c,t,this.visuals.line,this.visuals.fill),i[c]&&e.rotate(-i[c]),e.translate(-r[c],-a[c])}}draw_legend_for_index(e,{x0:t,x1:r,y0:a,y1:s},n){const i=n+1,_=new Array(i);_[n]=(t+r)/2;const c=new Array(i);c[n]=(a+s)/2;const o=new Array(i);o[n]=.4*Math.min(Math.abs(r-t),Math.abs(s-a));const l=new Array(i);l[n]=0;const u=new Array(i);u[n]=this._marker[n],this._render(e,[n],{sx:_,sy:c,_size:o,_angle:l,_marker:u})}}r.ScatterView=_,_.__name__=\"ScatterView\";class c extends s.Marker{constructor(e){super(e)}static init_Scatter(){this.prototype.default_view=_,this.define({marker:[i.MarkerSpec,{value:\"circle\"}]})}}r.Scatter=c,c.__name__=\"Scatter\",c.init_Scatter()},\n      function _(a,o,p){Object.defineProperty(p,\"__esModule\",{value:!0});var 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rt(){Y.apply(this,arguments);var t=y(this.handler,this);this.touch=new nt(this.manager,t),this.mouse=new j(this.manager,t),this.primaryTouch=null,this.lastTouches=[]}function st(t,e){1&t?(this.primaryTouch=e.changedPointers[0].identifier,ot.call(this,e)):12&t&&ot.call(this,e)}function ot(t){var e=t.changedPointers[0];if(e.identifier===this.primaryTouch){var n={x:e.clientX,y:e.clientY};this.lastTouches.push(n);var i=this.lastTouches;setTimeout((function(){var t=i.indexOf(n);t>-1&&i.splice(t,1)}),2500)}}function at(t){for(var e=t.srcEvent.clientX,n=t.srcEvent.clientY,i=0;i<this.lastTouches.length;i++){var r=this.lastTouches[i],s=Math.abs(e-r.x),o=Math.abs(n-r.y);if(s<=25&&o<=25)return!0}return!1}g(rt,Y,{handler:function(t,e,n){var i=\"touch\"==n.pointerType,r=\"mouse\"==n.pointerType;if(!(r&&n.sourceCapabilities&&n.sourceCapabilities.firesTouchEvents)){if(i)st.call(this,e,n);else 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if(4&t.eventType)return 8;return 32},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Et,mt,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(It,mt,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return gt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,n=this.options.direction;return 30&n?e=t.overallVelocity:6&n?e=t.overallVelocityX:24&n&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&n&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=vt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(At,pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[\"manipulation\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime<e.time;if(this.reset(),1&t.eventType&&0===this.count)return this.failTimeout();if(i&&r&&n){if(4!=t.eventType)return this.failTimeout();var s=!this.pTime||t.timeStamp-this.pTime<e.interval,o=!this.pCenter||L(this.pCenter,t.center)<e.posThreshold;if(this.pTime=t.timeStamp,this.pCenter=t.center,o&&s?this.count+=1:this.count=1,this._input=t,0===this.count%e.taps)return this.hasRequireFailures()?(this._timer=l((function(){this.state=8,this.tryEmit()}),e.interval,this),2):8}return 32},failTimeout:function(){return this._timer=l((function(){this.state=32}),this.options.interval,this),32},reset:function(){clearTimeout(this._timer)},emit:function(){8==this.state&&(this._input.tapCount=this.count,this.manager.emit(this.options.event,this._input))}}),_t.VERSION=\"2.0.7\",_t.defaults={domEvents:!1,touchAction:\"compute\",enable:!0,inputTarget:null,inputClass:null,preset:[[Et,{enable:!1}],[yt,{enable:!1},[\"rotate\"]],[It,{direction:6}],[gt,{direction:6},[\"swipe\"]],[At],[At,{event:\"doubletap\",taps:2},[\"tap\"]],[Tt]],cssProps:{userSelect:\"none\",touchSelect:\"none\",touchCallout:\"none\",contentZooming:\"none\",userDrag:\"none\",tapHighlightColor:\"rgba(0,0,0,0)\"}};function Ct(t,e){var n;this.options=s({},_t.defaults,e||{}),this.options.inputTarget=this.options.inputTarget||t,this.handlers={},this.session={},this.recognizers=[],this.oldCssProps={},this.element=t,this.input=new((n=this).options.inputClass||(M?J:z?nt:R?rt:j))(n,F),this.touchAction=new lt(this,this.options.touchAction),St(this,!0),f(this.options.recognizers,(function(t){var e=this.add(new t[0](t[1]));t[2]&&e.recognizeWith(t[2]),t[3]&&e.requireFailure(t[3])}),this)}function St(t,e){var n,i=t.element;i.style&&(f(t.options.cssProps,(function(r,s){n=D(i.style,s),e?(t.oldCssProps[n]=i.style[n],i.style[n]=r):i.style[n]=t.oldCssProps[n]||\"\"})),e||(t.oldCssProps={}))}Ct.prototype={set:function(t){return s(this.options,t),t.touchAction&&this.touchAction.update(),t.inputTarget&&(this.input.destroy(),this.input.target=t.inputTarget,this.input.init()),this},stop:function(t){this.session.stopped=t?2:1},recognize:function(t){var e=this.session;if(!e.stopped){var n;this.touchAction.preventDefaults(t);var i=this.recognizers,r=e.curRecognizer;(!r||r&&8&r.state)&&(r=e.curRecognizer=null);for(var s=0;s<i.length;)n=i[s],2===e.stopped||r&&n!=r&&!n.canRecognizeWith(r)?n.reset():n.recognize(t),!r&&14&n.state&&(r=e.curRecognizer=n),s++}},get:function(t){if(t instanceof pt)return t;for(var e=this.recognizers,n=0;n<e.length;n++)if(e[n].options.event==t)return e[n];return null},add:function(t){if(p(t,\"add\",this))return this;var e=this.get(t.options.event);return e&&this.remove(e),this.recognizers.push(t),t.manager=this,this.touchAction.update(),t},remove:function(t){if(p(t,\"remove\",this))return this;if(t=this.get(t)){var e=this.recognizers,n=b(e,t);-1!==n&&(e.splice(n,1),this.touchAction.update())}return this},on:function(t,e){if(void 0!==t&&void 0!==e){var n=this.handlers;return f(S(t),(function(t){n[t]=n[t]||[],n[t].push(e)})),this}},off:function(t,e){if(void 0!==t){var n=this.handlers;return f(S(t),(function(t){e?n[t]&&n[t].splice(b(n[t],e),1):delete n[t]})),this}},emit:function(t,e){this.options.domEvents&&function(t,e){var i=n.createEvent(\"Event\");i.initEvent(t,!0,!0),i.gesture=e,e.target.dispatchEvent(i)}(t,e);var i=this.handlers[t]&&this.handlers[t].slice();if(i&&i.length){e.type=t,e.preventDefault=function(){e.srcEvent.preventDefault()};for(var r=0;r<i.length;)i[r](e),r++}},destroy:function(){this.element&&St(this,!1),this.handlers={},this.session={},this.input.destroy(),this.element=null}},s(_t,{INPUT_START:1,INPUT_MOVE:2,INPUT_END:4,INPUT_CANCEL:8,STATE_POSSIBLE:1,STATE_BEGAN:2,STATE_CHANGED:4,STATE_ENDED:8,STATE_RECOGNIZED:8,STATE_CANCELLED:16,STATE_FAILED:32,DIRECTION_NONE:1,DIRECTION_LEFT:2,DIRECTION_RIGHT:4,DIRECTION_UP:8,DIRECTION_DOWN:16,DIRECTION_HORIZONTAL:6,DIRECTION_VERTICAL:24,DIRECTION_ALL:30,Manager:Ct,Input:Y,TouchAction:lt,TouchInput:nt,MouseInput:j,PointerEventInput:J,TouchMouseInput:rt,SingleTouchInput:Q,Recognizer:pt,AttrRecognizer:mt,Tap:At,Pan:gt,Swipe:It,Pinch:yt,Rotate:Et,Press:Tt,on:I,off:A,each:f,merge:m,extend:d,assign:s,inherit:g,bindFn:y,prefixed:D}),(void 0!==t?t:\"undefined\"!=typeof self?self:{}).Hammer=_t,\"function\"==typeof define&&define.amd?define((function(){return _t})):void 0!==e&&e.exports?e.exports=_t:t.Hammer=_t}(window,document)},\n      function 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c;return\"height\"==a||\"both\"==a?(c=[s.min([e,n]),s.max([e,n])],c=[s.max([c[0],l.start]),s.min([c[1],l.end])]):c=[l.start,l.end],[_,c]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}i.Tool=_,_.__name__=\"Tool\",_.init_Tool()},\n      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_toolbar=\"bk-toolbar\",t.bk_toolbar_hidden=\"bk-toolbar-hidden\",t.bk_toolbar_button=\"bk-toolbar-button\",t.bk_button_bar=\"bk-button-bar\",t.bk_toolbar_button_custom_action=\"bk-toolbar-button-custom-action\"},\n      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-toolbar-hidden {\\n  visibility: hidden;\\n  opacity: 0;\\n  transition: visibility 0.3s linear, opacity 0.3s linear;\\n}\\n.bk-root .bk-toolbar,\\n.bk-root .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-toolbar .bk-logo {\\n  flex-shrink: 0;\\n  -webkit-flex-shrink: 0;\\n}\\n.bk-root .bk-toolbar.bk-above,\\n.bk-root .bk-toolbar.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n  justify-content: flex-end;\\n  -webkit-justify-content: flex-end;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-logo,\\n.bk-root .bk-toolbar.bk-below .bk-logo {\\n  order: 1;\\n  -webkit-order: 1;\\n  margin-left: 5px;\\n  margin-right: 0px;\\n}\\n.bk-root .bk-toolbar.bk-left,\\n.bk-root .bk-toolbar.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  justify-content: flex-start;\\n  -webkit-justify-content: flex-start;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-logo,\\n.bk-root .bk-toolbar.bk-right .bk-logo {\\n  order: 0;\\n  -webkit-order: 0;\\n  margin-bottom: 5px;\\n  margin-top: 0px;\\n}\\n.bk-root .bk-toolbar-button {\\n  width: 30px;\\n  height: 30px;\\n  cursor: pointer;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-toolbar-button:hover {\\n  background-color: rgba(192, 192, 192, 0.15);\\n}\\n.bk-root .bk-toolbar-button:focus {\\n  outline: none;\\n}\\n.bk-root .bk-toolbar-button::-moz-focus-inner {\\n  border: 0;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button {\\n  border-bottom: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button.bk-active {\\n  border-bottom-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button {\\n  border-top: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button.bk-active {\\n  border-top-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button {\\n  border-left: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button.bk-active {\\n  border-left-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button {\\n  border-right: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button.bk-active {\\n  border-right-color: #26aae1;\\n}\\n.bk-root .bk-button-bar + .bk-button-bar:before {\\n  content: \" \";\\n  display: inline-block;\\n  background-color: lightgray;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar + .bk-button-bar:before {\\n  height: 10px;\\n  width: 1px;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar + .bk-button-bar:before {\\n  height: 1px;\\n  width: 10px;\\n}\\n'},\n      function _(A,g,C){Object.defineProperty(C,\"__esModule\",{value:!0});C.default='\\n.bk-root .bk-tool-icon-replace-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxokK3gniQAAAHpJREFUWMNjXLhsJcNAAiaGAQajDhhwB7DgEP+PxmeksvjgDwFcLmYkUh2hkBj8IcBIZXsYh1w2/I8v3sgAOM0bLYhGc8GgrwuICgldfQO88pcvXvg/aOuCUQeM5oLRuoCFCJcTbOMh5XOiW0JDNhdQS3y0IBp1ABwAAF8KGrhC1Eg6AAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-append-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkZWD04WwAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAAAoUlEQVRYw+1WQQ6AIAwrhO8Y/bIXEz9jIMSDr8ETCUEPQzA4pMeFLKNbu4l5WR0CDOMEALBGIzMuQIBEZQjPgP9JLjwTfBjY9sO9lZsFA9IafZng3BlIyVefgd8XQFZBAWe8jfNxwsDhir6rzoCiPiy1K+J8/FRQemv2XfAdFcQ9znU4Viqg9ta1qYJ+D1BnAIBrkgGVOrXNqUA9rbyZm/AEzFh4jEeY/soAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-intersect-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkrkOpp2wAAAPhJREFUWMPtV1EKwjAMTUavI3oawR/vtn5srJdREfzwMvHHQlcT2mpdMzFfWxiP5r2+JMN+mAiCOB72CABgR1cln4oOGocJnuMTSxWk8jMm7OggYkYXA9gPE3uyd8NXHONJ+eYMdE/NqCJmEZ5ZqlJJ4sUksKN7cYSaPoCZFWR1QI+Xm1fBACU63Cw22x0AAJxudwrffVwvZ+JmQdAHZkw0d4EpAMCw8k87pMdbnwtizQumJYv3nwV6XOA1qbUT/oQLUJgFRbsiNwFVucBIlyR3p0tdMp+XmFjfLKi1LatyAXtCRjPWBdL3Ke3VuACJKFfDr/xFN2fgAR/Go0qaLlmEAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-subtract-mode {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-clear-selection {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root 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url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-zoom-in {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-zoom-out {\\n  background-image: 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     function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(68),o=n.__importStar(t(255));class l{constructor(t,e={}){this.items=t,this.options=e,this.el=s.div(),this._open=!1,this._item_click=t=>{var e;null===(e=this.items[t])||void 0===e||e.handler(),this.hide()},this._on_mousedown=t=>{var e,i;const{target:n}=t;n instanceof Node&&this.el.contains(n)||(null===(i=(e=this.options).prevent_hide)||void 0===i?void 0:i.call(e,t))||this.hide()},this._on_keydown=t=>{t.keyCode==s.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},s.undisplay(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){s.remove(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=e.getBoundingClientRect();this.el.style.left=null!=t.left?t.left-i.left+\"px\":\"\",this.el.style.top=null!=t.top?t.top-i.top+\"px\":\"\",this.el.style.right=null!=t.right?i.right-t.right+\"px\":\"\",this.el.style.bottom=null!=t.bottom?i.bottom-t.bottom+\"px\":\"\"}}render(){var t;s.empty(this.el,!0);const e=null!==(t=this.options.orientation)&&void 0!==t?t:\"vertical\";s.classes(this.el).add(\"bk-context-menu\",\"bk-\"+e),s.append(this.el,...this.items.map((t,e)=>{var i;let n;if(null!=t){const e=null!=t.icon?s.div({class:[\"bk-menu-icon\",t.icon]}):null;n=s.div({class:(null===(i=t.active)||void 0===i?void 0:i.call(t))?\"bk-active\":null,title:t.tooltip},e,t.label)}else n=s.div({class:o.bk_divider});return n.addEventListener(\"click\",()=>this._item_click(e)),n}))}show(t){0!=this.items.length&&(this._open||(this.render(),this._position(null!=t?t:{left:0,top:0}),s.display(this.el),this._listen(),this._open=!0))}hide(){this._open&&(this._open=!1,this._unlisten(),s.undisplay(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=l,l.__name__=\"ContextMenu\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(275),i=e(146),s=e(68);class c extends o.ButtonToolButtonView{render(){super.render(),s.classes(this.el).toggle(i.bk_active,this.model.active)}_clicked(){const{active:e}=this.model;this.model.active=!e}}n.OnOffButtonView=c,c.__name__=\"OnOffButtonView\"},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(72),l=t(68),n=t(99),a=i.__importStar(t(18)),r=t(66),_=t(9),c=t(8),h=t(71),u=t(284),v=t(285),d=t(286),b=t(274),p=t(278),g=t(288),f=t(146),m=i.__importDefault(t(279)),w=i.__importDefault(t(289));class y extends h.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define({_visible:[a.Any,null],autohide:[a.Boolean,!1]})}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=y,y.__name__=\"ToolbarViewModel\",y.init_ToolbarViewModel();class T extends r.DOMView{initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new y({autohide:this.model.autohide})}async lazy_initialize(){await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,async()=>{await this._build_tool_button_views(),this.render()}),this.connect(this.model.properties.autohide.change,()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()}),this.connect(this._toolbar_view_model.properties._visible.change,()=>this._on_visible_change())}styles(){return[...super.styles(),m.default,w.default]}remove(){n.remove_views(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await n.build_views(this._tool_button_views,t,{parent:this},t=>t.button_view)}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const t=this._toolbar_view_model.visible,o=p.bk_toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(l.empty(this.el),this.el.classList.add(p.bk_toolbar),this.el.classList.add(f.bk_side(this.model.toolbar_location)),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?g.bk_grey:null,o=l.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[g.bk_logo,g.bk_logo_small,t]});this.el.appendChild(o)}for(const[,t]of this._tool_button_views)t.render();const t=[],o=t=>this._tool_button_views.get(t).el,{gestures:e}=this.model;for(const i in e)t.push(e[i].tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter(t=>t.toggleable).map(o));for(const o of t)if(0!==o.length){const t=l.div({class:p.bk_button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}}function k(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=T,T.__name__=\"ToolbarBaseView\";class M extends h.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=T,this.define({tools:[a.Array,[]],logo:[a.Logo,\"normal\"],autohide:[a.Boolean,!1]}),this.internal({gestures:[a.Any,k],actions:[a.Array,[]],inspectors:[a.Array,[]],help:[a.Array,[]],toolbar_location:[a.Location,\"right\"]})}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map(t=>t.id));return _.some(t,t=>!e.has(t.id))},o=this.tools.filter(t=>t instanceof b.InspectTool);t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter(t=>t instanceof d.HelpTool);t(this.help,e)&&(this.help=e);const i=this.tools.filter(t=>t instanceof v.ActionTool);t(this.actions,i)&&(this.actions=i);const l=(t,o)=>{t in this.gestures||s.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},n={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof u.GestureTool&&t.event_type)if(c.isString(t.event_type))n[t.event_type].tools.push(t),l(t.event_type,t);else{n.multi.tools.push(t);for(const o of t.event_type)l(o,t)}for(const o of Object.keys(n)){const e=this.gestures[o];t(e.tools,n[o].tools)&&(e.tools=n[o].tools),e.active&&_.every(e.tools,t=>t.id!=e.active.id)&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=c.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(s.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,s.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=M,M.__name__=\"ToolbarBase\",M.init_ToolbarBase()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(275),n=e(282);class u extends s.ButtonToolView{}t.GestureToolView=u,u.__name__=\"GestureToolView\";class _ extends s.ButtonTool{constructor(e){super(e),this.button_view=n.OnOffButtonView}}t.GestureTool=_,_.__name__=\"GestureTool\"},\n      function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=o(275),i=o(14);class s extends e.ButtonToolButtonView{_clicked(){this.model.do.emit()}}n.ActionToolButtonView=s,s.__name__=\"ActionToolButtonView\";class c extends e.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,()=>this.doit())}}n.ActionToolView=c,c.__name__=\"ActionToolView\";class l extends e.ButtonTool{constructor(o){super(o),this.button_view=s,this.do=new i.Signal0(this,\"do\")}}n.ActionTool=l,l.__name__=\"ActionTool\"},\n      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(1),l=o(285),s=i.__importStar(o(18)),n=o(287);class _ extends l.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=_,_.__name__=\"HelpToolView\";class r extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.bk_tool_icon_help}static init_HelpTool(){this.prototype.default_view=_,this.define({help_tooltip:[s.String,\"Click the question mark to learn more about Bokeh plot tools.\"],redirect:[s.String,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}),this.register_alias(\"help\",()=>new r)}get tooltip(){return this.help_tooltip}}t.HelpTool=r,r.__name__=\"HelpTool\",r.init_HelpTool()},\n      function _(o,_,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tool_icon_box_select=\"bk-tool-icon-box-select\",l.bk_tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",l.bk_tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",l.bk_tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",l.bk_tool_icon_help=\"bk-tool-icon-help\",l.bk_tool_icon_hover=\"bk-tool-icon-hover\",l.bk_tool_icon_crosshair=\"bk-tool-icon-crosshair\",l.bk_tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",l.bk_tool_icon_pan=\"bk-tool-icon-pan\",l.bk_tool_icon_xpan=\"bk-tool-icon-xpan\",l.bk_tool_icon_ypan=\"bk-tool-icon-ypan\",l.bk_tool_icon_range=\"bk-tool-icon-range\",l.bk_tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",l.bk_tool_icon_redo=\"bk-tool-icon-redo\",l.bk_tool_icon_reset=\"bk-tool-icon-reset\",l.bk_tool_icon_save=\"bk-tool-icon-save\",l.bk_tool_icon_tap_select=\"bk-tool-icon-tap-select\",l.bk_tool_icon_undo=\"bk-tool-icon-undo\",l.bk_tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",l.bk_tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",l.bk_tool_icon_box_edit=\"bk-tool-icon-box-edit\",l.bk_tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",l.bk_tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",l.bk_tool_icon_point_draw=\"bk-tool-icon-point-draw\",l.bk_tool_icon_poly_edit=\"bk-tool-icon-poly-edit\",l.bk_tool_icon_line_edit=\"bk-tool-icon-line-edit\"},\n      function _(o,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_logo=\"bk-logo\",b.bk_logo_notebook=\"bk-logo-notebook\",b.bk_logo_small=\"bk-logo-small\",b.bk_grey=\"bk-grey\"},\n      function _(l,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-logo {\\n  margin: 5px;\\n  position: relative;\\n  display: block;\\n  background-repeat: no-repeat;\\n}\\n.bk-root .bk-logo.bk-grey {\\n  filter: url(\\\"data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg'><filter id='grayscale'><feColorMatrix type='matrix' values='0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0'/></filter></svg>#grayscale\\\");\\n  /* Firefox 10+, Firefox on Android */\\n  filter: gray;\\n  /* IE6-9 */\\n  -webkit-filter: grayscale(100%);\\n  /* Chrome 19+, Safari 6+, Safari 6+ iOS */\\n}\\n.bk-root .bk-logo-small {\\n  width: 20px;\\n  height: 20px;\\n  background-image: 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e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left),s=this.right_panel.measure({width:0,height:t.height}),n=Math.max(s.width,this.min_border.right),a=this.top_panel.measure({width:t.width,height:0}),o=Math.max(a.height,this.min_border.top),l=this.bottom_panel.measure({width:t.width,height:0}),r=Math.max(l.height,this.min_border.bottom),h=new x.Sizeable(t).shrink_by({left:i,right:n,top:o,bottom:r}),_=this.center_panel.measure(h);return{width:i+_.width+n,height:o+_.height+r,inner:{left:i,right:n,top:o,bottom:r},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),s=this.right_panel.measure({width:0,height:t.height}),n=this.top_panel.measure({width:t.width,height:0}),a=this.bottom_panel.measure({width:t.width,height:0}),{left:o,top:l,right:r,bottom:h}=e;this.top_panel.set_geometry(new O.BBox({left:o,right:r,bottom:l,height:n.height})),this.bottom_panel.set_geometry(new O.BBox({left:o,right:r,top:h,height:a.height})),this.left_panel.set_geometry(new O.BBox({top:l,bottom:h,right:o,width:i.width})),this.right_panel.set_geometry(new O.BBox({top:l,bottom:h,left:r,width:s.width}))}}i.PlotLayout=j,j.__name__=\"PlotLayout\";class P extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new O.BBox,this._inner_bbox=new O.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(t=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||t||this.request_paint()}request_render(){this.request_paint()}request_paint(t){if(null!=t?this._invalidated_painters.add(t):this._invalidate_all=!0,!this.is_paused){const t=this.throttled_paint();this._ready=this._ready.then(()=>t)}}request_layout(){this._needs_layout=!0,this.request_paint()}reset(){\"standard\"==this.model.reset_policy&&(this.clear_state(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new u.Reset)}remove(){this.ui_event_bus.destroy(),p.remove_views(this.renderer_views),p.remove_views(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.state_changed=new c.Signal0(this,\"state_changed\"),this.lod_started=!1,this.visuals=new m.Visuals(this.model),this._initial_state_info={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.state={history:[],index:-1};const{hidpi:t,output_backend:e}=this.model;this.canvas=new a.Canvas({hidpi:t,output_backend:e}),this.frame=new n.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges),this.throttled_paint=b.throttle(()=>this.repaint(),1e3/60);const{title_location:i,title:s}=this.model;null!=i&&null!=s&&(this._title=s instanceof h.Title?s:new h.Title({text:s}));const{toolbar_location:o,toolbar:l}=this.model;null!=o&&null!=l&&(this._toolbar=new d.ToolbarPanel({toolbar:l}),l.toolbar_location=o),this.renderer_views=new Map,this.tool_views=new Map}async lazy_initialize(){this.canvas_view=await p.build_view(this.canvas,{parent:this}),this.ui_event_bus=new g.UIEvents(this,this.model.toolbar,this.canvas_view.events_el),await this.build_renderer_views(),await this.build_tool_views(),this.update_dataranges(),this.unpause(!0),f.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){this.layout=new j,this.layout.set_sizing(this.box_sizing());const{frame_width:t,frame_height:e}=this.model;this.layout.center_panel=this.frame,this.layout.center_panel.set_sizing(Object.assign(Object.assign({},null!=t?{width_policy:\"fixed\",width:t}:{width_policy:\"fit\"}),null!=e?{height_policy:\"fixed\",height:e}:{height_policy:\"fit\"}));const i=v.copy(this.model.above),s=v.copy(this.model.below),n=v.copy(this.model.left),a=v.copy(this.model.right),o=t=>{switch(t){case\"above\":return i;case\"below\":return s;case\"left\":return n;case\"right\":return a}},{title_location:l,title:r}=this.model;null!=l&&null!=r&&o(l).push(this._title);const{toolbar_location:_,toolbar:u}=this.model;if(null!=_&&null!=u){const t=o(_);let e=!0;if(this.model.toolbar_sticky)for(let i=0;i<t.length;i++){const s=t[i];if(s instanceof h.Title){t[i]=\"above\"==_||\"below\"==_?[s,this._toolbar]:[this._toolbar,s],e=!1;break}}e&&t.push(this._toolbar)}const c=(t,e)=>{const i=this.renderer_views.get(e);return i.layout=new M.SidePanel(t,i)},p=(t,e)=>{const i=\"above\"==t||\"below\"==t,s=[];for(const n of e)if(w.isArray(n)){const e=n.map(e=>{const s=c(t,e);if(e instanceof d.ToolbarPanel){const t=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[t]:\"min\"}))}return s});let a;i?(a=new k.Row(e),a.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(a=new k.Column(e),a.set_sizing({width_policy:\"min\",height_policy:\"max\"})),a.absolute=!0,s.push(a)}else s.push(c(t,n));return s},g=null!=this.model.min_border?this.model.min_border:0;this.layout.min_border={left:null!=this.model.min_border_left?this.model.min_border_left:g,top:null!=this.model.min_border_top?this.model.min_border_top:g,right:null!=this.model.min_border_right?this.model.min_border_right:g,bottom:null!=this.model.min_border_bottom?this.model.min_border_bottom:g};const m=new z.VStack,f=new z.VStack,b=new z.HStack,y=new z.HStack;m.children=v.reversed(p(\"above\",i)),f.children=p(\"below\",s),b.children=v.reversed(p(\"left\",n)),y.children=p(\"right\",a),m.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),f.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),b.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),y.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.top_panel=m,this.layout.bottom_panel=f,this.layout.left_panel=b,this.layout.right_panel=y}get axis_views(){const t=[];for(const[,e]of this.renderer_views)e instanceof _.AxisView&&t.push(e);return t}set_cursor(t=\"default\"){this.canvas_view.el.style.cursor=t}set_toolbar_visibility(t){for(const e of this.visibility_callbacks)e(t)}update_dataranges(){const t=new Map,e=new Map;let i=!1;for(const t of y.values(this.frame.x_ranges).concat(y.values(this.frame.y_ranges)))t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(i=!0);for(const[s,n]of this.renderer_views)if(n instanceof l.GlyphRendererView){const a=n.glyph.bounds();if(null!=a&&t.set(s,a),i){const t=n.glyph.log_bounds();null!=t&&e.set(s,t)}}let s=!1,n=!1;const{width:a,height:r}=this.frame.bbox;let h;!1!==this.model.match_aspect&&0!=a&&0!=r&&(h=1/this.model.aspect_scale*(a/r));for(const i of y.values(this.frame.x_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,0,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}for(const i of y.values(this.frame.y_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,1,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}if(s&&n){f.logger.warn(\"Follow enabled so bounds are unset.\");for(const t of y.values(this.frame.x_ranges))t.bounds=null;for(const t of y.values(this.frame.y_ranges))t.bounds=null}this.range_update_timestamp=Date.now()}map_to_screen(t,e,i=\"default\",s=\"default\"){return this.frame.map_to_screen(t,e,i,s)}push_state(t,e){const{history:i,index:s}=this.state,n=null!=i[s]?i[s].info:{},a=Object.assign(Object.assign(Object.assign({},this._initial_state_info),n),e);this.state.history=this.state.history.slice(0,this.state.index+1),this.state.history.push({type:t,info:a}),this.state.index=this.state.history.length-1,this.state_changed.emit()}clear_state(){this.state={history:[],index:-1},this.state_changed.emit()}can_undo(){return this.state.index>=0}can_redo(){return this.state.index<this.state.history.length-1}undo(){this.can_undo()&&(this.state.index-=1,this._do_state_change(this.state.index),this.state_changed.emit())}redo(){this.can_redo()&&(this.state.index+=1,this._do_state_change(this.state.index),this.state_changed.emit())}_do_state_change(t){const e=null!=this.state.history[t]?this.state.history[t].info:this._initial_state_info;null!=e.range&&this.update_range(e.range),null!=e.selection&&this.update_selection(e.selection)}get_selection(){const t=new Map;for(const e of this.model.renderers)if(e instanceof l.GlyphRenderer){const{selected:i}=e.data_source;t.set(e,i)}return t}update_selection(t){for(const e of this.model.renderers){if(!(e instanceof l.GlyphRenderer))continue;const i=e.data_source;if(null!=t){const s=t.get(e);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_update_ranges_together(t){let e=1;for(const[i,s]of t)e=Math.min(e,this._get_weight_to_constrain_interval(i,s));if(e<1)for(const[i,s]of t)s.start=e*s.start+(1-e)*i.start,s.end=e*s.end+(1-e)*i.end}_update_ranges_individually(t,e,i,s){let n=!1;for(const[s,a]of t){if(!i){const t=this._get_weight_to_constrain_interval(s,a);t<1&&(a.start=t*a.start+(1-t)*s.start,a.end=t*a.end+(1-t)*s.end)}if(null!=s.bounds&&\"auto\"!=s.bounds){const[t,o]=s.bounds,l=Math.abs(a.end-a.start);s.is_reversed?(null!=t&&t>=a.end&&(n=!0,a.end=t,(e||i)&&(a.start=t+l)),null!=o&&o<=a.start&&(n=!0,a.start=o,(e||i)&&(a.end=o-l))):(null!=t&&t>=a.start&&(n=!0,a.start=t,(e||i)&&(a.end=t+l)),null!=o&&o<=a.end&&(n=!0,a.end=o,(e||i)&&(a.start=o-l)))}}if(!(i&&n&&s))for(const[e,i]of t)e.have_updated_interactively=!0,e.start==i.start&&e.end==i.end||e.setv(i)}_get_weight_to_constrain_interval(t,e){const{min_interval:i}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[e,i]=t.bounds;if(null!=e&&null!=i){const t=Math.abs(i-e);s=null!=s?Math.min(s,t):t}}let n=1;if(null!=i||null!=s){const a=Math.abs(t.end-t.start),o=Math.abs(e.end-e.start);i>0&&o<i&&(n=(a-i)/(a-o)),s>0&&o>s&&(n=(s-a)/(o-a)),n=Math.max(0,Math.min(1,n))}return n}update_range(t,e=!1,i=!1,s=!0){this.pause();const{x_ranges:n,y_ranges:a}=this.frame;if(null==t){for(const t in n){n[t].reset()}for(const t in a){a[t].reset()}this.update_dataranges()}else{const o=[];for(const e in n){const i=n[e];o.push([i,t.xrs[e]])}for(const e in a){const i=a[e];o.push([i,t.yrs[e]])}i&&this._update_ranges_together(o),this._update_ranges_individually(o,e,i,s)}this.unpause()}reset_range(){this.update_range(null)}_invalidate_layout(){(()=>{for(const t of this.model.side_panels){if(this.renderer_views.get(t).layout.has_size_changed())return!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map(t=>this.renderer_views.get(t))}async build_renderer_views(){this.computed_renderers=[];const{above:t,below:e,left:i,right:s,center:n,renderers:a}=this.model;this.computed_renderers.push(...t,...e,...i,...s,...n,...a),null!=this._title&&this.computed_renderers.push(this._title),null!=this._toolbar&&this.computed_renderers.push(this._toolbar);for(const t of this.model.toolbar.tools)null!=t.overlay&&this.computed_renderers.push(t.overlay),this.computed_renderers.push(...t.synthetic_renderers);await p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const t=this.model.toolbar.tools;(await p.build_views(this.tool_views,t,{parent:this})).map(t=>this.ui_event_bus.register_tool(t))}connect_signals(){super.connect_signals();const{x_ranges:t,y_ranges:e}=this.frame;for(const e in t){const i=t[e];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}for(const t in e){const i=e[t];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}const{plot_width:i,plot_height:s}=this.model.properties;this.on_change([i,s],()=>this.invalidate_layout());const{above:n,below:a,left:o,right:l,center:r,renderers:h}=this.model.properties;this.on_change([n,a,o,l,r,h],async()=>await this.build_renderer_views()),this.connect(this.model.toolbar.properties.tools.change,async()=>{await this.build_renderer_views(),await this.build_tool_views()}),this.connect(this.model.change,()=>this.request_paint()),this.connect(this.model.reset,()=>this.reset())}set_initial_range(){let t=!0;const{x_ranges:e,y_ranges:i}=this.frame,s={},n={};for(const i in e){const{start:n,end:a}=e[i];if(null==n||null==a||isNaN(n+a)){t=!1;break}s[i]={start:n,end:a}}if(t)for(const e in i){const{start:s,end:a}=i[e];if(null==s||null==a||isNaN(s+a)){t=!1;break}n[e]={start:s,end:a}}t?(this._initial_state_info.range={xrs:s,yrs:n},f.logger.debug(\"initial ranges set\")):f.logger.warn(\"could not set initial ranges\")}has_finished(){if(!super.has_finished())return!1;for(const[,t]of this.renderer_views)if(!t.has_finished())return!1;return!0}after_layout(){if(super.after_layout(),this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame._width.value),inner_height:Math.round(this.frame._height.value),outer_width:Math.round(this.layout._width.value),outer_height:Math.round(this.layout._height.value)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:t,height:e}=this.layout.bbox;this.canvas_view.resize(t,e),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}this._inner_bbox.equals(this.frame.inner_bbox)||(this._inner_bbox=this.layout.inner_bbox,this._needs_paint=!0),this._needs_paint&&(this._needs_paint=!1,this.paint())}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){if(this.is_paused)return;f.logger.trace(\"PlotView.paint() for \"+this.model.id);const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e<this.model.lod_interval?setTimeout(()=>{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(this.model),this.request_paint()},this.model.lod_timeout):t.interactive_stop(this.model)}for(const[,t]of this.renderer_views)if(null==this.range_update_timestamp||t instanceof l.GlyphRendererView&&t.set_data_timestamp>this.range_update_timestamp){this.update_dataranges();break}let e=!1,i=!1;if(this._invalidate_all)e=!0,i=!0;else for(const t of this._invalidated_painters){const{level:s}=t.model;if(\"overlay\"!=s?e=!0:i=!0,e&&i)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const s=[this.frame._left.value,this.frame._top.value,this.frame._width.value,this.frame._height.value],{primary:n,overlays:a}=this.canvas_view;e&&(n.prepare(),this.canvas_view.prepare_webgl(s),this.canvas_view.clear_webgl(),this._map_hook(n.ctx,s),this._paint_empty(n.ctx,s),this._paint_outline(n.ctx,s),this._paint_levels(n.ctx,\"image\",s,!0),this._paint_levels(n.ctx,\"underlay\",s,!0),this._paint_levels(n.ctx,\"glyph\",s,!0),this._paint_levels(n.ctx,\"guide\",s,!1),this._paint_levels(n.ctx,\"annotation\",s,!1),n.finish()),i&&(a.prepare(),this._paint_levels(a.ctx,\"overlay\",s,!1),a.finish()),null==this._initial_state_info.range&&this.set_initial_range()}_paint_levels(t,e,i,s){for(const n of this.computed_renderers){if(n.level!=e)continue;const a=this.renderer_views.get(n);t.save(),(s||a.needs_clip)&&(t.beginPath(),t.rect(...i),t.clip()),a.render(),t.restore(),a.has_webgl&&(this.canvas_view.blit_webgl(t),this.canvas_view.clear_webgl())}}_map_hook(t,e){}_paint_empty(t,e){const[i,s,n,a]=[0,0,this.layout._width.value,this.layout._height.value],[o,l,r,h]=e;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(t),t.fillRect(i,s,n,a),t.clearRect(o,l,r,h)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(o,l,r,h))}_paint_outline(t,e){if(this.visuals.outline_line.doit){t.save(),this.visuals.outline_line.set_value(t);let[i,s,n,a]=e;i+n==this.layout._width.value&&(n-=1),s+a==this.layout._height.value&&(a-=1),t.strokeRect(i,s,n,a),t.restore()}}save(t){this.canvas_view.save(t)}serializable_state(){const t=super.serializable_state(),{children:e}=t,i=s(t,[\"children\"]),n=this.get_renderer_views().map(t=>t.serializable_state()).filter(t=>\"bbox\"in t);return Object.assign(Object.assign({},i),{children:[...e,...n]})}}i.PlotView=P,P.__name__=\"PlotView\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});var n=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var r=e.length-1;r>=0;r--)(_=e[r])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function _(e){return function(t){t.prototype.event_name=e}}class a{constructor(){this.origin=null}to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}_to_json(){return{model:this.origin}}}s.BokehEvent=a,a.__name__=\"BokehEvent\";let o=class extends a{};s.ButtonClick=o,o.__name__=\"ButtonClick\",s.ButtonClick=o=n([_(\"button_click\")],o);let r=class extends a{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=r,r.__name__=\"MenuItemClick\",s.MenuItemClick=r=n([_(\"menu_item_click\")],r);class c extends a{}s.UIEvent=c,c.__name__=\"UIEvent\";let i=class extends c{};s.LODStart=i,i.__name__=\"LODStart\",s.LODStart=i=n([_(\"lodstart\")],i);let l=class extends c{};s.LODEnd=l,l.__name__=\"LODEnd\",s.LODEnd=l=n([_(\"lodend\")],l);let u=class extends c{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=u,u.__name__=\"SelectionGeometry\",s.SelectionGeometry=u=n([_(\"selectiongeometry\")],u);let h=class extends c{};s.Reset=h,h.__name__=\"Reset\",s.Reset=h=n([_(\"reset\")],h);class d extends c{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=d,d.__name__=\"PointEvent\";let m=class extends d{constructor(e,t,s,n,_,a){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=m,m.__name__=\"Pan\",s.Pan=m=n([_(\"pan\")],m);let p=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=p,p.__name__=\"Pinch\",s.Pinch=p=n([_(\"pinch\")],p);let x=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=x,x.__name__=\"Rotate\",s.Rotate=x=n([_(\"rotate\")],x);let j=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=j,j.__name__=\"MouseWheel\",s.MouseWheel=j=n([_(\"wheel\")],j);let y=class extends d{};s.MouseMove=y,y.__name__=\"MouseMove\",s.MouseMove=y=n([_(\"mousemove\")],y);let P=class extends d{};s.MouseEnter=P,P.__name__=\"MouseEnter\",s.MouseEnter=P=n([_(\"mouseenter\")],P);let O=class extends d{};s.MouseLeave=O,O.__name__=\"MouseLeave\",s.MouseLeave=O=n([_(\"mouseleave\")],O);let b=class extends d{};s.Tap=b,b.__name__=\"Tap\",s.Tap=b=n([_(\"tap\")],b);let g=class extends d{};s.DoubleTap=g,g.__name__=\"DoubleTap\",s.DoubleTap=g=n([_(\"doubletap\")],g);let v=class extends d{};s.Press=v,v.__name__=\"Press\",s.Press=v=n([_(\"press\")],v);let E=class extends d{};s.PressUp=E,E.__name__=\"PressUp\",s.PressUp=E=n([_(\"pressup\")],E);let M=class extends d{};s.PanStart=M,M.__name__=\"PanStart\",s.PanStart=M=n([_(\"panstart\")],M);let f=class extends d{};s.PanEnd=f,f.__name__=\"PanEnd\",s.PanEnd=f=n([_(\"panend\")],f);let R=class extends d{};s.PinchStart=R,R.__name__=\"PinchStart\",s.PinchStart=R=n([_(\"pinchstart\")],R);let S=class extends d{};s.PinchEnd=S,S.__name__=\"PinchEnd\",s.PinchEnd=S=n([_(\"pinchend\")],S);let k=class extends d{};s.RotateStart=k,k.__name__=\"RotateStart\",s.RotateStart=k=n([_(\"rotatestart\")],k);let D=class extends d{};s.RotateEnd=D,D.__name__=\"RotateEnd\",s.RotateEnd=D=n([_(\"rotateend\")],D)},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importDefault(t(276)),r=t(14),a=t(72),h=t(68),_=t(293),o=t(9),c=t(8),l=t(28),p=n.__importStar(t(291)),u=t(281);class d{constructor(t,e,s){this.plot_view=t,this.toolbar=e,this.hit_area=s,this.pan_start=new r.Signal(this,\"pan:start\"),this.pan=new r.Signal(this,\"pan\"),this.pan_end=new r.Signal(this,\"pan:end\"),this.pinch_start=new r.Signal(this,\"pinch:start\"),this.pinch=new r.Signal(this,\"pinch\"),this.pinch_end=new r.Signal(this,\"pinch:end\"),this.rotate_start=new r.Signal(this,\"rotate:start\"),this.rotate=new r.Signal(this,\"rotate\"),this.rotate_end=new r.Signal(this,\"rotate:end\"),this.tap=new r.Signal(this,\"tap\"),this.doubletap=new r.Signal(this,\"doubletap\"),this.press=new r.Signal(this,\"press\"),this.pressup=new r.Signal(this,\"pressup\"),this.move_enter=new r.Signal(this,\"move:enter\"),this.move=new r.Signal(this,\"move\"),this.move_exit=new r.Signal(this,\"move:exit\"),this.scroll=new r.Signal(this,\"scroll\"),this.keydown=new r.Signal(this,\"keydown\"),this.keyup=new r.Signal(this,\"keyup\"),this.hammer=new i.default(this.hit_area,{touchAction:\"auto\",inputClass:i.default.TouchMouseInput}),this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",t=>this._mouse_move(t)),this.hit_area.addEventListener(\"mouseenter\",t=>this._mouse_enter(t)),this.hit_area.addEventListener(\"mouseleave\",t=>this._mouse_exit(t)),this.hit_area.addEventListener(\"contextmenu\",t=>this._context_menu(t)),this.hit_area.addEventListener(\"wheel\",t=>this._mouse_wheel(t)),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new u.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",t=>this._doubletap(t)),this.hammer.on(\"tap\",t=>this._tap(t)),this.hammer.on(\"press\",t=>this._press(t)),this.hammer.on(\"pressup\",t=>this._pressup(t)),this.hammer.get(\"pan\").set({direction:i.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",t=>this._pan_start(t)),this.hammer.on(\"pan\",t=>this._pan(t)),this.hammer.on(\"panend\",t=>this._pan_end(t)),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",t=>this._pinch_start(t)),this.hammer.on(\"pinch\",t=>this._pinch(t)),this.hammer.on(\"pinchend\",t=>this._pinch_end(t)),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",t=>this._rotate_start(t)),this.hammer.on(\"rotate\",t=>this._rotate(t)),this.hammer.on(\"rotateend\",t=>this._rotate_end(t))}register_tool(t){const e=t.model.event_type;null!=e&&(c.isString(e)?this._register_tool(t,e):e.forEach((e,s)=>this._register_tool(t,e,s<1)))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},h=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(\"unsupported event_type: \"+e)}s&&(null!=n._doubletap&&n.connect(this.doubletap,h(n._doubletap.bind(n))),null!=n._keydown&&n.connect(this.keydown,h(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,h(n._keyup.bind(n))),l.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(a.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e){const s=this.plot_view.get_renderer_views();for(const n of o.reversed(s)){const{level:s}=n.model;if((\"annotation\"==s||\"overlay\"==s)&&null!=n.interactive_hit&&n.interactive_hit(t,e))return n}return null}_hit_test_frame(t,e){return this.plot_view.frame.bbox.contains(t,e)}_hit_test_canvas(t,e){return this.plot_view.layout.bbox.contains(t,e)}_trigger(t,e,s){const n=this.toolbar.gestures,i=t.name.split(\":\")[0],r=this._hit_test_renderers(e.sx,e.sy),a=this._hit_test_canvas(e.sx,e.sy);switch(i){case\"move\":{const s=n[i].active;null!=s&&this.trigger(t,e,s.id);const h=this.toolbar.inspectors.filter(t=>t.active);let _=\"default\";null!=r?(_=r.cursor(e.sx,e.sy)||_,o.is_empty(h)||(t=this.move_exit)):this._hit_test_frame(e.sx,e.sy)&&(o.is_empty(h)||(_=\"crosshair\")),this.plot_view.set_cursor(_),this.plot_view.set_toolbar_visibility(a),h.map(s=>this.trigger(t,e,s.id));break}case\"tap\":{const{target:a}=s;if(null!=a&&a!=this.hit_area)return;null!=r&&null!=r.on_hit&&r.on_hit(e.sx,e.sy);const h=n[i].active;null!=h&&this.trigger(t,e,h.id);break}case\"scroll\":{const i=n[l.is_mobile?\"pinch\":\"scroll\"].active;null!=i&&(s.preventDefault(),s.stopPropagation(),this.trigger(t,e,i.id));break}case\"pan\":{const r=n[i].active;null!=r&&(s.preventDefault(),this.trigger(t,e,r.id));break}default:{const s=n[i].active;null!=s&&this.trigger(t,e,s.id)}}this._trigger_bokeh_event(e)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t){const e=(()=>{const e=this.plot_view.frame.xscales.default,s=this.plot_view.frame.yscales.default,{sx:n,sy:i}=t,r=e.invert(n),a=s.invert(i);switch(t.type){case\"wheel\":return new p.MouseWheel(n,i,r,a,t.delta);case\"mousemove\":return new p.MouseMove(n,i,r,a);case\"mouseenter\":return new p.MouseEnter(n,i,r,a);case\"mouseleave\":return new p.MouseLeave(n,i,r,a);case\"tap\":return new p.Tap(n,i,r,a);case\"doubletap\":return new p.DoubleTap(n,i,r,a);case\"press\":return new p.Press(n,i,r,a);case\"pressup\":return new p.PressUp(n,i,r,a);case\"pan\":return new p.Pan(n,i,r,a,t.deltaX,t.deltaY);case\"panstart\":return new p.PanStart(n,i,r,a);case\"panend\":return new p.PanEnd(n,i,r,a);case\"pinch\":return new p.Pinch(n,i,r,a,t.scale);case\"pinchstart\":return new p.PinchStart(n,i,r,a);case\"pinchend\":return new p.PinchEnd(n,i,r,a);case\"rotate\":return new p.Rotate(n,i,r,a,t.rotation);case\"rotatestart\":return new p.RotateStart(n,i,r,a);case\"rotateend\":return new p.RotateEnd(n,i,r,a);default:return}})();null!=e&&this.plot_view.model.trigger_event(e)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=h.offset(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:_.getDeltaY(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){const e=this._tap_event(t);this._trigger_bokeh_event(e),this.trigger(this.doubletap,e)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEvents=d,d.__name__=\"UIEvents\"},\n      function _(e,t,n){\n      /*!\n           * jQuery Mousewheel 3.1.13\n           *\n           * Copyright jQuery Foundation and other contributors\n           * Released under the MIT license\n           * http://jquery.org/license\n           */\n      function r(e){const t=getComputedStyle(e).fontSize;return null!=t?parseInt(t,10):null}Object.defineProperty(n,\"__esModule\",{value:!0}),n.getDeltaY=function(e){let t=-e.deltaY;if(e.target instanceof HTMLElement)switch(e.deltaMode){case e.DOM_DELTA_LINE:t*=r((n=e.target).offsetParent||document.body)||r(n)||16;break;case e.DOM_DELTA_PAGE:t*=function(e){return e.clientHeight}(e.target)}var n;return t}},\n      function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=(\"undefined\"!=typeof window?window.requestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.webkitRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.mozRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.msRequestAnimationFrame:void 0)||function(n){return n(Date.now()),-1};o.throttle=function(n,e){let o=null,i=0,u=!1;return function(){return new Promise((d,w)=>{const r=function(){i=Date.now(),o=null,u=!1;try{n(),d()}catch(n){w(n)}},a=Date.now(),f=e-(a-i);f<=0&&!u?(null!=o&&clearTimeout(o),u=!0,t(r)):o||u?d():o=setTimeout(()=>t(r),f)})}}},\n      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const l=i(189),a=i(190),r=i(8),o=Math.PI/2,h=\"left\",s=\"center\",n={above:{parallel:0,normal:-o,horizontal:0,vertical:-o},below:{parallel:0,normal:o,horizontal:0,vertical:o},left:{parallel:-o,normal:0,horizontal:0,vertical:-o},right:{parallel:o,normal:0,horizontal:0,vertical:o}},d={above:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"alphabetic\",vertical:\"middle\"},below:{justified:\"bottom\",parallel:\"hanging\",normal:\"middle\",horizontal:\"hanging\",vertical:\"middle\"},left:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"},right:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"}},_={above:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},below:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},left:{justified:s,parallel:s,normal:\"right\",horizontal:\"right\",vertical:s},right:{justified:s,parallel:s,normal:h,horizontal:h,vertical:s}},c={above:\"right\",below:h,left:\"right\",right:h},m={above:h,below:\"right\",left:\"right\",right:h};class g extends a.ContentLayoutable{constructor(i,t){switch(super(),this.side=i,this.obj=t,this.side){case\"above\":this._dim=0,this._normals=[0,-1];break;case\"below\":this._dim=0,this._normals=[0,1];break;case\"left\":this._dim=1,this._normals=[-1,0];break;case\"right\":this._dim=1,this._normals=[1,0]}this.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){return new l.Sizeable(this.get_oriented_size())}get_oriented_size(){const{width:i,height:t}=this.obj.get_size();return!this.obj.rotate||this.is_horizontal?{width:i,height:t}:{width:t,height:i}}has_size_changed(){const{width:i,height:t}=this.get_oriented_size();return this.is_horizontal?this.bbox.height!=t:this.bbox.width!=i}get dimension(){return this._dim}get normals(){return this._normals}get is_horizontal(){return 0==this._dim}get is_vertical(){return 1==this._dim}apply_label_text_heuristics(i,t){const e=this.side;let l,a;r.isString(t)?(l=d[e][t],a=_[e][t]):t<0?(l=\"middle\",a=c[e]):(l=\"middle\",a=m[e]),i.textBaseline=l,i.textAlign=a}get_label_angle_heuristic(i){return n[this.side][i]}}e.SidePanel=g,g.__name__=\"SidePanel\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(14),o=t(68),a=t(32),n=t(290),p=new i.Signal0({},\"gmaps_ready\");class l extends n.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){!function(t){window._bokeh_gmaps_callback=()=>p.emit();const e=document.createElement(\"script\");e.type=\"text/javascript\",e.src=`https://maps.googleapis.com/maps/api/js?v=3.36&key=${t}&callback=_bokeh_gmaps_callback`,document.body.appendChild(e)}(atob(this.model.api_key))}p.connect(()=>this.request_render())}this.unpause()}remove(){o.remove(this.map_el),super.remove()}update_range(t){if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(t.sdx||0,t.sdy||0),super.update_range(t);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t);const e=t.factor<0?-1:1,s=this.map.getZoom(),i=s+e;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<0&&this.map.setZoom(s)}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=o.div({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",()=>this._set_bokeh_ranges()),t.event.addListener(this.map,\"bounds_changed\",()=>this._set_bokeh_ranges()),t.event.addListenerOnce(this.map,\"tilesloaded\",()=>this._render_finished()),this.connect(this.model.properties.map_options.change,()=>this._update_options()),this.connect(this.model.map_options.properties.styles.change,()=>this._update_styles()),this.connect(this.model.map_options.properties.lat.change,()=>this._update_center(\"lat\")),this.connect(this.model.map_options.properties.lng.change,()=>this._update_center(\"lng\")),this.connect(this.model.map_options.properties.zoom.change,()=>this._update_zoom()),this.connect(this.model.map_options.properties.map_type.change,()=>this._update_map_type()),this.connect(this.model.map_options.properties.scale_control.change,()=>this._update_scale_control()),this.connect(this.model.map_options.properties.tilt.change,()=>this._update_tilt())}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,i]=this._get_latlon_bounds(),[o,n]=a.wgs84_mercator.forward([t,s]),[p,l]=a.wgs84_mercator.forward([e,i]);return[o,p,n,l]}_set_bokeh_ranges(){const[t,e,s,i]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:i})}_update_center(t){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,i,o]=e;this.map_el.style.top=s+\"px\",this.map_el.style.left=t+\"px\",this.map_el.style.width=i+\"px\",this.map_el.style.height=o+\"px\"}}_paint_empty(t,e){const s=this.layout._width.value,i=this.layout._height.value,[o,a,n,p]=e;t.clearRect(0,0,s,i),t.beginPath(),t.moveTo(0,0),t.lineTo(0,i),t.lineTo(s,i),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(o,a),t.lineTo(o+n,a),t.lineTo(o+n,a+p),t.lineTo(o,a+p),t.lineTo(o,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=this.model.border_fill_color,t.fill())}}s.GMapPlotView=l,l.__name__=\"GMapPlotView\"},\n      function _(a,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});var g=a(187);n.DataRange=g.DataRange;var R=a(186);n.DataRange1d=R.DataRange1d;var r=a(90);n.FactorRange=r.FactorRange;var t=a(91);n.Range=t.Range;var d=a(131);n.Range1d=d.Range1d},\n      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var n=e(81);d.GlyphRenderer=n.GlyphRenderer;var R=e(100);d.GraphRenderer=R.GraphRenderer;var a=e(151);d.GuideRenderer=a.GuideRenderer;var G=e(65);d.Renderer=G.Renderer},\n      function _(a,e,c){Object.defineProperty(c,\"__esModule\",{value:!0});var l=a(185);c.CategoricalScale=l.CategoricalScale;var o=a(121);c.ContinuousScale=o.ContinuousScale;var r=a(120);c.LinearScale=r.LinearScale;var S=a(130);c.LogScale=S.LogScale;var n=a(122);c.Scale=n.Scale},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(1).__exportStar(e(102),o);var n=e(79);o.Selection=n.Selection},\n      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var o=a(302);r.ServerSentDataSource=o.ServerSentDataSource;var S=a(304);r.AjaxDataSource=S.AjaxDataSource;var u=a(76);r.ColumnDataSource=u.ColumnDataSource;var t=a(77);r.ColumnarDataSource=t.ColumnarDataSource;var c=a(98);r.CDSView=c.CDSView;var D=a(78);r.DataSource=D.DataSource;var v=a(305);r.GeoJSONDataSource=v.GeoJSONDataSource;var n=a(303);r.WebDataSource=n.WebDataSource},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(303);class s extends a.WebDataSource{constructor(e){super(e),this.initialized=!1}destroy(){super.destroy()}setup(){if(!this.initialized){this.initialized=!0,new EventSource(this.data_url).onmessage=e=>{this.load_data(JSON.parse(e.data),this.mode,this.max_size)}}}}i.ServerSentDataSource=s,s.__name__=\"ServerSentDataSource\"},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(1),s=e(76),i=r.__importStar(e(18));class n extends s.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:r}=this;let s;switch(s=null!=r?r.execute(this,{response:e}):e,t){case\"replace\":this.data=s;break;case\"append\":{const e=this.data;for(const t of this.columns()){const r=Array.from(e[t]),i=Array.from(s[t]);s[t]=r.concat(i).slice(-a)}this.data=s;break}}}static init_WebDataSource(){this.define({mode:[i.UpdateMode,\"replace\"],max_size:[i.Number],adapter:[i.Any,null],data_url:[i.String]})}}a.WebDataSource=n,n.__name__=\"WebDataSource\",n.init_WebDataSource()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(303),r=t(72),o=s.__importStar(t(18));class n extends a.WebDataSource{constructor(t){super(t),this.initialized=!1}static init_AjaxDataSource(){this.define({polling_interval:[o.Number],content_type:[o.String,\"application/json\"],http_headers:[o.Any,{}],method:[o.HTTPMethod,\"POST\"],if_modified:[o.Boolean,!1]})}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=0,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",()=>this.do_load(s,t,e)),s.addEventListener(\"error\",()=>this.do_error(s)),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const i in e){const s=e[i];t.setRequestHeader(i,s)}return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){r.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=n,n.__name__=\"AjaxDataSource\",n.init_AjaxDataSource()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1),n=e(77),s=e(72),a=r.__importStar(e(18)),i=e(9);function l(e){return null!=e?e:NaN}class c extends n.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define({geojson:[a.Any]}),this.internal({data:[a.Any,{}]})}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,()=>this._update_data())}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return i.range(0,e).map(e=>[])}_get_new_nan_array(e){return i.range(0,e).map(e=>NaN)}_add_properties(e,t,o,r){const n=e.properties||{};for(const e in n)t.hasOwnProperty(e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=l(n[e])}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=l(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"Polygon\":{e.coordinates.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPoint\":s.logger.warn(\"MultiPoint not supported in Bokeh\");break;case\"MultiLineString\":{const n=e.coordinates.reduce(r);for(let e=0;e<n.length;e++){const[r,s,a]=n[e];t.xs[o][e]=r,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPolygon\":{const n=[];for(const t of e.coordinates)t.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const a=n.reduce(r);for(let e=0;e<a.length;e++){const[r,n,s]=a[e];t.xs[o][e]=r,t.ys[o][e]=n,t.zs[o][e]=l(s)}break}default:throw new Error(\"Invalid GeoJSON geometry type: \"+e.type)}}geojson_to_column_data(){const e=JSON.parse(this.geojson);let t;switch(e.type){case\"GeometryCollection\":if(null==e.geometries)throw new Error(\"No geometries found in GeometryCollection\");if(0===e.geometries.length)throw new Error(\"geojson.geometries must have one or more items\");t=e.geometries;break;case\"FeatureCollection\":if(null==e.features)throw new Error(\"No features found in FeaturesCollection\");if(0==e.features.length)throw new Error(\"geojson.features must have one or more items\");t=e.features;break;default:throw new Error(\"Bokeh only supports type GeometryCollection and FeatureCollection at top level\")}let o=0;for(const e of t){const t=\"Feature\"===e.type?e.geometry:e;\"GeometryCollection\"==t.type?o+=t.geometries.length:o+=1}const r={x:this._get_new_nan_array(o),y:this._get_new_nan_array(o),z:this._get_new_nan_array(o),xs:this._get_new_list_array(o),ys:this._get_new_list_array(o),zs:this._get_new_list_array(o)};let n=0;for(const e of t){const t=\"Feature\"==e.type?e.geometry:e;if(\"GeometryCollection\"==t.type)for(const s of t.geometries)this._add_geometry(s,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1;else this._add_geometry(t,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1}return r}}o.GeoJSONDataSource=c,c.__name__=\"GeoJSONDataSource\",c.init_GeoJSONDataSource()},\n      function _(e,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});var c=e(110);i.AdaptiveTicker=c.AdaptiveTicker;var a=e(109);i.BasicTicker=a.BasicTicker;var k=e(153);i.CategoricalTicker=k.CategoricalTicker;var T=e(164);i.CompositeTicker=T.CompositeTicker;var t=e(111);i.ContinuousTicker=t.ContinuousTicker;var o=e(163);i.DatetimeTicker=o.DatetimeTicker;var v=e(165);i.DaysTicker=v.DaysTicker;var n=e(307);i.FixedTicker=n.FixedTicker;var s=e(172);i.LogTicker=s.LogTicker;var l=e(175);i.MercatorTicker=l.MercatorTicker;var u=e(168);i.MonthsTicker=u.MonthsTicker;var d=e(166);i.SingleIntervalTicker=d.SingleIntervalTicker;var g=e(112);i.Ticker=g.Ticker;var C=e(169);i.YearsTicker=C.YearsTicker},\n      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),n=i(111),s=r.__importStar(i(18));class _ extends n.ContinuousTicker{constructor(i){super(i),this.min_interval=0,this.max_interval=0}static init_FixedTicker(){this.define({ticks:[s.Array,[]],minor_ticks:[s.Array,[]]})}get_ticks_no_defaults(i,t,e,r){return{major:this.ticks,minor:this.minor_ticks}}get_interval(i,t,e){return 0}}e.FixedTicker=_,_.__name__=\"FixedTicker\",_.init_FixedTicker()},\n      function _(e,r,o){Object.defineProperty(o,\"__esModule\",{value:!0});var T=e(309);o.BBoxTileSource=T.BBoxTileSource;var c=e(310);o.MercatorTileSource=c.MercatorTileSource;var i=e(313);o.QUADKEYTileSource=i.QUADKEYTileSource;var l=e(314);o.TileRenderer=l.TileRenderer;var S=e(311);o.TileSource=S.TileSource;var u=e(318);o.TMSTileSource=u.TMSTileSource;var a=e(315);o.WMTSTileSource=a.WMTSTileSource},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1),i=e(310),l=o.__importStar(e(18));class _ extends i.MercatorTileSource{constructor(e){super(e)}static init_BBoxTileSource(){this.define({use_latlon:[l.Boolean,!1]})}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let i,l,_,n;return this.use_latlon?[l,n,i,_]=this.get_tile_geographic_bounds(e,t,r):[l,n,i,_]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",l.toString()).replace(\"{YMIN}\",n.toString()).replace(\"{XMAX}\",i.toString()).replace(\"{YMAX}\",_.toString())}}r.BBoxTileSource=_,_.__name__=\"BBoxTileSource\",_.init_BBoxTileSource()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const _=t(1),s=t(311),r=_.__importStar(t(18)),o=t(9),n=t(312);class l extends s.TileSource{constructor(t){super(t)}static init_MercatorTileSource(){this.define({snap_to_zoom:[r.Boolean,!1],wrap_around:[r.Boolean,!0]}),this.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})}initialize(){super.initialize(),this._resolutions=o.range(this.min_zoom,this.max_zoom+1).map(t=>this.get_resolution(t))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)<Math.abs(t-r)?e:t}));return this._resolutions.indexOf(o)}snap_to_zoom_level(t,e,i,_){const[s,r,o,n]=t,l=this._resolutions[_];let u=i*l,a=e*l;if(!this.snap_to_zoom){const t=(o-s)/u,e=(n-r)/a;t>e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);return i=0===i?i:i-1,[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<<i)-e]}meters_to_tile(t,e,i){const[_,s]=this.meters_to_pixels(t,e,i);return this.pixels_to_tile(_,s)}get_tile_meter_bounds(t,e,i){const[_,s]=this.pixels_to_meters(t*this.tile_size,e*this.tile_size,i),[r,o]=this.pixels_to_meters((t+1)*this.tile_size,(e+1)*this.tile_size,i);return[_,s,r,o]}get_tile_geographic_bounds(t,e,i){const _=this.get_tile_meter_bounds(t,e,i),[s,r,o,l]=n.meters_extent_to_geographic(_);return[s,r,o,l]}get_tiles_by_extent(t,e,i=1){const[_,s,r,o]=t;let[n,l]=this.meters_to_tile(_,s,e),[u,a]=this.meters_to_tile(r,o,e);n-=i,l-=i,u+=i,a+=i;const h=[];for(let t=a;t>=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<<s-1;switch(t.charAt(_-s)){case\"0\":continue;case\"1\":e|=r;break;case\"2\":i|=r;break;case\"3\":e|=r,i|=r;break;default:throw new TypeError(\"Invalid Quadkey: \"+t)}}return[e,i,_]}tile_xyz_to_quadkey(t,e,i){let _=\"\";for(let s=i;s>0;s--){const i=1<<s-1;let r=0;0!=(t&i)&&(r+=1),0!=(e&i)&&(r+=2),_+=r.toString()}return _}children_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=[];for(let t=0;t<=3;t++){const[e,i,r]=this.quadkey_to_tile_xyz(_+t.toString()),o=this.get_tile_meter_bounds(e,i,r);s.push([e,i,r,o])}return s}get_closest_parent_by_tile_xyz(t,e,i){const _=this.calculate_world_x_by_tile_xyz(t,e,i);[t,e,i]=this.normalize_xyz(t,e,i);let s=this.tile_xyz_to_quadkey(t,e,i);for(;s.length>0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),s=e(17),l=i.__importStar(e(18));class a extends n.Model{constructor(e){super(e)}static init_TileSource(){this.define({url:[l.String,\"\"],tile_size:[l.Number,256],max_zoom:[l.Number,30],min_zoom:[l.Number,0],extra_url_vars:[l.Any,{}],attribution:[l.String,\"\"],x_origin_offset:[l.Number],y_origin_offset:[l.Number],initial_resolution:[l.Number]})}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._clear_cache())}string_lookup_replace(e,t){let r=e;for(const[e,i]of s.entries(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map(e=>parseInt(e));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,s]=t,l=(n-r)/2+r,a=(s-i)/2+i;e.sort((function(e,t){return Math.sqrt((l-e[0])**2+(a-e[1])**2)-Math.sqrt((l-t[0])**2+(a-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=a,a.__name__=\"TileSource\",a.init_TileSource()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(32);function o(e,t){return n.wgs84_mercator.forward([e,t])}function c(e,t){return n.wgs84_mercator.inverse([e,t])}r.geographic_to_meters=o,r.meters_to_geographic=c,r.geographic_extent_to_meters=function(e){const[t,r,n,c]=e,[_,i]=o(t,r),[s,u]=o(n,c);return[_,i,s,u]},r.meters_extent_to_geographic=function(e){const[t,r,n,o]=e,[_,i]=c(t,r),[s,u]=c(n,o);return[_,i,s,u]}},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const _=e(310);class s extends _.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const _=this.string_lookup_replace(this.url,this.extra_url_vars),[s,o,u]=this.tms_to_wmts(e,t,r),c=this.tile_xyz_to_quadkey(s,o,u);return _.replace(\"{Q}\",c)}}r.QUADKEYTileSource=s,s.__name__=\"QUADKEYTileSource\"},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),_=e(315),a=e(82),n=e(131),r=e(68),h=s.__importStar(e(18)),l=e(224),o=e(9),d=e(8),m=e(80),c=e(76),u=e(316),p=s.__importDefault(e(317));class g extends a.DataRendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.tile_source.change,()=>this.request_render())}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&r.removeElement(this.attribution_el);const{attribution:e}=this.model.tile_source;if(d.isString(e)&&e.length>0){const{layout:t,frame:i}=this.plot_view,s=t._width.value-i._right.value,_=t._height.value-i._bottom.value,a=i._width.value;this.attribution_el=r.div({class:u.bk_tile_attribution,style:{position:\"absolute\",right:s+\"px\",bottom:_+\"px\",\"max-width\":a-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=e,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const e=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value),t=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value,e);this.x_range.start=t[0],this.y_range.start=t[1],this.x_range.end=t[2],this.y_range.end=t[3],this.x_range instanceof n.Range1d&&(this.x_range.reset_start=t[0],this.x_range.reset_end=t[2]),this.y_range instanceof n.Range1d&&(this.y_range.reset_start=t[1],this.y_range.reset_end=t[3]),this._update_attribution()}_create_tile(e,t,i,s,_=!1){const[a,n,r]=this.model.tile_source.normalize_xyz(e,t,i),h={img:void 0,tile_coords:[e,t,i],normalized_coords:[a,n,r],quadkey:this.model.tile_source.tile_xyz_to_quadkey(e,t,i),cache_key:this.model.tile_source.tile_xyz_to_key(e,t,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},o=this.model.tile_source.get_image_url(a,n,r);new l.ImageLoader(o,{loaded:e=>{Object.assign(h,{img:e,loaded:!0}),_?(h.finished=!0,this.notify_finished()):this.request_render()},failed(){h.finished=!0}}),this.model.tile_source.tiles.set(h.cache_key,h),this._tiles.push(h)}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame._height.value||this._last_width!==this.map_frame._width.value){const e=this.get_extent(),t=this.model.tile_source.get_level_by_extent(e,this.map_frame._height.value,this.map_frame._width.value),i=this.model.tile_source.snap_to_zoom_level(e,this.map_frame._height.value,this.map_frame._width.value,t);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame._height.value,this._last_width=this.map_frame._width.value}}has_finished(){if(!super.has_finished())return!1;if(0===this._tiles.length)return!1;for(const e of this._tiles)if(!e.finished)return!1;return!0}render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(e){const t=this.model.tile_source.tiles.get(e);if(null!=t&&t.loaded){const[[e],[i]]=this.plot_view.map_to_screen([t.bounds[0]],[t.bounds[3]]),[[s],[_]]=this.plot_view.map_to_screen([t.bounds[2]],[t.bounds[1]]),a=s-e,n=_-i,r=e,h=i,l=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(t.img,r,h,a,n),this.map_canvas.setImageSmoothingEnabled(l),t.finished=!0}}_set_rect(){const e=this.plot_model.properties.outline_line_width.value(),t=this.map_frame._left.value+e/2,i=this.map_frame._top.value+e/2,s=this.map_frame._width.value-e,_=this.map_frame._height.value-e;this.map_canvas.rect(t,i,s,_),this.map_canvas.clip()}_render_tiles(e){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const t of e)this._draw_tile(t);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:e}=this.model,t=this.get_extent(),i=this.map_frame._height.value,s=this.map_frame._width.value,_=this.model.tile_source.get_level_by_extent(t,i,s),a=this.model.tile_source.get_tiles_by_extent(t,_);for(let t=0,i=Math.min(10,a.length);t<i;t++){const[i,s,_]=a[t],n=this.model.tile_source.children_by_tile_xyz(i,s,_);for(const t of n){const[i,s,_,a]=t;e.tiles.has(e.tile_xyz_to_key(i,s,_))||this._create_tile(i,s,_,a,!0)}}}_fetch_tiles(e){for(const t of e){const[e,i,s,_]=t;this._create_tile(e,i,s,_)}}_update(){const{tile_source:e}=this.model,{min_zoom:t}=e,{max_zoom:i}=e;let s=this.get_extent();const _=this.extent[2]-this.extent[0]<s[2]-s[0],a=this.map_frame._height.value,n=this.map_frame._width.value;let r=e.get_level_by_extent(s,a,n),h=!1;r<t?(s=this.extent,r=t,h=!0):r>i&&(s=this.extent,r=i,h=!0),h&&(this.x_range.setv({x_range:{start:s[0],end:s[2]}}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const l=e.get_tiles_by_extent(s,r),d=[],m=[],c=[],u=[];for(const t of l){const[i,s,a]=t,n=e.tile_xyz_to_key(i,s,a),r=e.tiles.get(n);if(null!=r&&r.loaded)m.push(n);else if(this.model.render_parents){const[t,n,r]=e.get_closest_parent_by_tile_xyz(i,s,a),h=e.tile_xyz_to_key(t,n,r),l=e.tiles.get(h);if(null!=l&&l.loaded&&!o.includes(c,h)&&c.push(h),_){const t=e.children_by_tile_xyz(i,s,a);for(const[i,s,_]of t){const t=e.tile_xyz_to_key(i,s,_);e.tiles.has(t)&&u.push(t)}}}null==r&&d.push(t)}this._render_tiles(c),this._render_tiles(u),this._render_tiles(m),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout(()=>this._fetch_tiles(d),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class f extends a.DataRenderer{constructor(e){super(e),this._selection_manager=new m.SelectionManager({source:new c.ColumnDataSource})}static init_TileRenderer(){this.prototype.default_view=g,this.define({alpha:[h.Number,1],smoothing:[h.Boolean,!0],tile_source:[h.Instance,()=>new _.WMTSTileSource],render_parents:[h.Boolean,!0]})}get_selection_manager(){return this._selection_manager}}i.TileRenderer=f,f.__name__=\"TileRenderer\",f.init_TileRenderer()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(310);class s extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,_]=this.tms_to_wmts(e,t,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",_.toString())}}r.WMTSTileSource=s,s.__name__=\"WMTSTileSource\"},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.bk_tile_attribution=\"bk-tile-attribution\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default=\"\\n.bk-root .bk-tile-attribution a {\\n  color: black;\\n}\\n\"},\n      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(310);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=c,c.__name__=\"TMSTileSource\"},\n      function _(e,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});var t=e(320);a.CanvasTexture=t.CanvasTexture;var u=e(322);a.ImageURLTexture=u.ImageURLTexture;var v=e(321);a.Texture=v.Texture},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),c=t(321),s=r.__importStar(t(18)),i=t(24);class a extends c.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define({code:[s.String]})}get func(){const t=i.use_strict(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){return r=>{const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),r.createPattern(c,this.repetition)}}}n.CanvasTexture=a,a.__name__=\"CanvasTexture\",a.init_CanvasTexture()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(71),o=r.__importStar(e(18));class _ extends n.Model{constructor(e){super(e)}static init_Texture(){this.define({repetition:[o.TextureRepetition,\"repeat\"]})}onload(e){e()}}i.Texture=_,_.__name__=\"Texture\",_.init_Texture()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),a=e(321),n=r.__importStar(e(18)),s=e(224);class o extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define({url:[n.String]})}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){return e=>this._loader.finished?e.createPattern(this._loader.image,this.repetition):null}onload(e){this._loader.promise.then(()=>e())}}i.ImageURLTexture=o,o.__name__=\"ImageURLTexture\",o.init_ImageURLTexture()},\n      function _(o,l,T){Object.defineProperty(T,\"__esModule\",{value:!0});var a=o(285);T.ActionTool=a.ActionTool;var r=o(324);T.CustomAction=r.CustomAction;var e=o(286);T.HelpTool=e.HelpTool;var v=o(325);T.RedoTool=v.RedoTool;var t=o(326);T.ResetTool=t.ResetTool;var n=o(327);T.SaveTool=n.SaveTool;var s=o(328);T.UndoTool=s.UndoTool;var i=o(329);T.ZoomInTool=i.ZoomInTool;var P=o(331);T.ZoomOutTool=P.ZoomOutTool;var c=o(275);T.ButtonTool=c.ButtonTool;var d=o(332);T.EditTool=d.EditTool;var u=o(333);T.BoxEditTool=u.BoxEditTool;var y=o(334);T.FreehandDrawTool=y.FreehandDrawTool;var m=o(335);T.PointDrawTool=m.PointDrawTool;var x=o(336);T.PolyDrawTool=x.PolyDrawTool;var B=o(337);T.PolyTool=B.PolyTool;var S=o(338);T.PolyEditTool=S.PolyEditTool;var b=o(339);T.BoxSelectTool=b.BoxSelectTool;var h=o(342);T.BoxZoomTool=h.BoxZoomTool;var E=o(284);T.GestureTool=E.GestureTool;var Z=o(343);T.LassoSelectTool=Z.LassoSelectTool;var p=o(344);T.LineEditTool=p.LineEditTool;var w=o(346);T.PanTool=w.PanTool;var C=o(347);T.PolySelectTool=C.PolySelectTool;var D=o(348);T.RangeTool=D.RangeTool;var H=o(340);T.SelectTool=H.SelectTool;var R=o(349);T.TapTool=R.TapTool;var A=o(350);T.WheelPanTool=A.WheelPanTool;var I=o(351);T.WheelZoomTool=I.WheelZoomTool;var L=o(352);T.CrosshairTool=L.CrosshairTool;var W=o(353);T.CustomJSHover=W.CustomJSHover;var O=o(354);T.HoverTool=O.HoverTool;var _=o(274);T.InspectTool=_.InspectTool;var f=o(277);T.Tool=f.Tool;var g=o(355);T.ToolProxy=g.ToolProxy;var F=o(273);T.Toolbar=F.Toolbar;var G=o(283);T.ToolbarBase=G.ToolbarBase;var J=o(357);T.ProxyToolbar=J.ProxyToolbar;var U=o(357);T.ToolbarBox=U.ToolbarBox},\n      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(285),e=n.__importStar(t(18)),c=t(278);class _ extends s.ActionToolButtonView{css_classes(){return super.css_classes().concat(c.bk_toolbar_button_custom_action)}}i.CustomActionButtonView=_,_.__name__=\"CustomActionButtonView\";class l extends s.ActionToolView{doit(){null!=this.model.callback&&this.model.callback.execute(this.model)}}i.CustomActionView=l,l.__name__=\"CustomActionView\";class u extends s.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=_}static init_CustomAction(){this.prototype.default_view=l,this.define({action_tooltip:[e.String,\"Perform a Custom Action\"],callback:[e.Any],icon:[e.String]})}get tooltip(){return this.action_tooltip}}i.CustomAction=u,u.__name__=\"CustomAction\",u.init_CustomAction()},\n      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(285),s=o(287);class n extends i.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_redo())}doit(){this.plot_view.redo()}}t.RedoToolView=n,n.__name__=\"RedoToolView\";class _ extends i.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=s.bk_tool_icon_redo}static init_RedoTool(){this.prototype.default_view=n,this.override({disabled:!0}),this.register_alias(\"redo\",()=>new _)}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(285),i=e(287);class _ extends s.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=_,_.__name__=\"ResetToolView\";class l extends s.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=i.bk_tool_icon_reset}static init_ResetTool(){this.prototype.default_view=_,this.register_alias(\"reset\",()=>new l)}}o.ResetTool=l,l.__name__=\"ResetTool\",l.init_ResetTool()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(285),s=e(287);class _ extends i.ActionToolView{doit(){this.plot_view.save(\"bokeh_plot\")}}t.SaveToolView=_,_.__name__=\"SaveToolView\";class a extends i.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=s.bk_tool_icon_save}static init_SaveTool(){this.prototype.default_view=_,this.register_alias(\"save\",()=>new a)}}t.SaveTool=a,a.__name__=\"SaveTool\",a.init_SaveTool()},\n      function _(o,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=o(285),i=o(287);class s extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_undo())}doit(){this.plot_view.undo()}}e.UndoToolView=s,s.__name__=\"UndoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=i.bk_tool_icon_undo}static init_UndoTool(){this.prototype.default_view=s,this.override({disabled:!0}),this.register_alias(\"undo\",()=>new _)}}e.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),n=o(285),s=o(330),_=e.__importStar(o(18)),m=o(287);class l extends n.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,n=s.scale_range(o,this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:n}),this.plot_view.update_range(n,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomInToolView=l,l.__name__=\"ZoomInToolView\";class h extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom In\",this.icon=m.bk_tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_in\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_in\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_in\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomInTool=h,h.__name__=\"ZoomInTool\",h.init_ZoomInTool()},\n      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=n(10);function r(n,t,e){const[o,r]=[n.start,n.end],c=null!=e?e:(r+o)/2;return[o-(o-c)*t,r-(r-c)*t]}function c(n,[t,e]){const o={};for(const r in n){const c=n[r],[s,l]=c.r_invert(t,e);o[r]={start:s,end:l}}return o}e.scale_highlow=r,e.get_info=c,e.scale_range=function(n,t,e=!0,s=!0,l){t=o.clamp(t,-.9,.9);const a=e?t:0,[u,i]=r(n.bbox.h_range,a,null!=l?l.x:void 0),_=c(n.xscales,[u,i]),f=s?t:0,[d,b]=r(n.bbox.v_range,f,null!=l?l.y:void 0);return{xrs:_,yrs:c(n.yscales,[d,b]),factor:t}}},\n      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),s=o(285),n=o(330),_=e.__importStar(o(18)),m=o(287);class l extends s.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,s=n.scale_range(o,-this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:s}),this.plot_view.update_range(s,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomOutToolView=l,l.__name__=\"ZoomOutToolView\";class h extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom Out\",this.icon=m.bk_tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_out\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_out\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_out\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomOutTool=h,h.__name__=\"ZoomOutTool\",h.init_ZoomOutTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),n=e(9),i=e(8),r=e(11),_=e(284);class c extends _.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void r.unreachable():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){const o=this.plot_view.frame;return o.bbox.contains(e,t)?[o.xscales[s.x_range_name].invert(e),o.yscales[s.y_range_name].invert(t)]:null}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;e<s.length;e++){const t=s[e];o.splice(t-e,1)}}this._emit_cds_changes(t)}_pop_glyphs(e,t){const s=e.columns();if(t&&s.length)for(const o of s){let s=e.get_array(o);const n=s.length-t+1;n<1||(i.isArray(s)||(s=Array.from(s),e.data[o]=s),s.splice(0,n))}}_emit_cds_changes(e,t=!0,s=!0,o=!0){s&&e.selection_manager.clear(),t&&e.change.emit(),o&&(e.data=e.data,e.properties.data.change.emit())}_drag_points(e,t,s=\"both\"){if(null==this._basepoint)return;const[o,n]=this._basepoint;for(const i of t){const t=this._map_drag(o,n,i),r=this._map_drag(e.sx,e.sy,i);if(null==r||null==t)continue;const[_,c]=r,[a,l]=t,[d,u]=[_-a,c-l],m=i.glyph,h=i.data_source,[p,f]=[m.x.field,m.y.field];for(const e of h.selected.indices)!p||\"width\"!=s&&\"both\"!=s||(h.data[p][e]+=d),!f||\"height\"!=s&&\"both\"!=s||(h.data[f][e]+=u);h.change.emit()}this._basepoint=[e.sx,e.sy]}_pad_empty_columns(e,t){for(const s of e.columns())n.includes(t,s)||e.get_array(s).push(this.model.empty_value)}_select_event(e,t,s){const o=this.plot_view.frame,{sx:n,sy:i}=e;if(!o.bbox.contains(n,i))return[];const r={type:\"point\",sx:n,sy:i},_=[];for(const e of s){const s=e.get_selection_manager(),o=e.data_source,n=[this.plot_view.renderer_views.get(e)];s.select(n,r,!0,t)&&_.push(e),o.properties.selected.change.emit()}return _}}s.EditToolView=c,c.__name__=\"EditToolView\";class a extends _.GestureTool{constructor(e){super(e)}static init_EditTool(){this.define({custom_icon:[o.String],custom_tooltip:[o.String],empty_value:[o.Any],renderers:[o.Array,[]]})}get tooltip(){return this.custom_tooltip||this.tool_name}get computed_icon(){return this.custom_icon||this.icon}}s.EditTool=a,a.__name__=\"EditTool\",a.init_EditTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(68),o=i.__importStar(e(18)),n=e(332),a=e(287);class d extends n.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===_.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==_.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.frame,d=n.glyph,l=n.data_source,r=a.xscales[n.x_range_name],h=a.yscales[n.y_range_name],[p,u]=r.r_invert(e,t),[c,m]=h.r_invert(s,i),[f,b]=[(p+u)/2,(c+m)/2],[x,y]=[u-p,m-c],[w,g]=[d.x.field,d.y.field],[v,E]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),w&&l.get_array(w).push(f),g&&l.get_array(g).push(b),v&&l.get_array(v).push(x),E&&l.get_array(E).push(y),this._pad_empty_columns(l,[w,g,v,E]);else{const e=l.data[w].length-1;w&&(l.data[w][e]=f),g&&(l.data[g][e]=b),v&&(l.data[v][e]=x),E&&(l.data[E][e]=y)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=d,d.__name__=\"BoxEditToolView\";class l extends n.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=a.bk_tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}static init_BoxEditTool(){this.prototype.default_view=d,this.define({dimensions:[o.Dimensions,\"both\"],num_objects:[o.Int,0]})}}s.BoxEditTool=l,l.__name__=\"BoxEditTool\",l.init_BoxEditTool()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),r=e(68),_=s.__importStar(e(18)),o=e(8),i=e(332),d=e(287);class n extends i.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,i]=r,d=s.data_source,n=s.glyph,[l,h]=[n.xs.field,n.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),l&&d.get_array(l).push([_]),h&&d.get_array(h).push([i]),this._pad_empty_columns(d,[l,h]);else if(\"add\"==t){if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];o.isArray(t)||(t=Array.from(t),d.data[l][e]=t),t.push(_)}if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];o.isArray(t)||(t=Array.from(t),d.data[h][e]=t),t.push(i)}}this._emit_cds_changes(d,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===r.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=n,n.__name__=\"FreehandDrawToolView\";class l extends i.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=d.bk_tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}static init_FreehandDrawTool(){this.prototype.default_view=n,this.define({num_objects:[_.Int,0]})}}a.FreehandDrawTool=l,l.__name__=\"FreehandDrawTool\",l.init_FreehandDrawTool()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(68),a=s.__importStar(e(18)),n=e(332),_=e(287);class r extends n.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],o=this._map_drag(e.sx,e.sy,t);if(null==o)return;const s=t.glyph,i=t.data_source,[a,n]=[s.x.field,s.y.field],[_,r]=o;this._pop_glyphs(i,this.model.num_objects),a&&i.get_array(a).push(_),n&&i.get_array(n).push(r),this._pad_empty_columns(i,[a,n]),i.change.emit(),i.data=i.data,i.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===i.Keys.Backspace?this._delete_selected(t):e.keyCode==i.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}o.PointDrawToolView=r,r.__name__=\"PointDrawToolView\";class d extends n.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=_.bk_tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}static init_PointDrawTool(){this.prototype.default_view=r,this.define({add:[a.Boolean,!0],drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}o.PointDrawTool=d,d.__name__=\"PointDrawTool\",d.init_PointDrawTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(68),a=i.__importStar(e(18)),o=e(8),n=e(337),_=e(287);class d extends n.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==r)return;const[a,n]=this._snap_to_vertex(e,...r),_=i.data_source,d=i.glyph,[l,h]=[d.xs.field,d.ys.field];if(\"new\"==t)this._pop_glyphs(_,this.model.num_objects),l&&_.get_array(l).push([a,a]),h&&_.get_array(h).push([n,n]),this._pad_empty_columns(_,[l,h]);else if(\"edit\"==t){if(l){const e=_.data[l][_.data[l].length-1];e[e.length-1]=a}if(h){const e=_.data[h][_.data[h].length-1];e[e.length-1]=n}}else if(\"add\"==t){if(l){const e=_.data[l].length-1;let t=_.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=a,o.isArray(t)||(t=Array.from(t),_.data[l][e]=t),t.push(s)}if(h){const e=_.data[h].length-1;let t=_.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=n,o.isArray(t)||(t=Array.from(t),_.data[h][e]=t),t.push(s)}}this._emit_cds_changes(_,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;s<this.model.renderers.length;s++){const i=this.model.renderers[s],r=i.data_source,a=i.glyph,[o,n]=[a.xs.field,a.ys.field];if(o)for(const t of r.get_array(o))Array.prototype.push.apply(e,t);if(n)for(const e of r.get_array(n))Array.prototype.push.apply(t,e);this._drawing&&s==this.model.renderers.length-1&&(e.splice(e.length-1,1),t.splice(t.length-1,1))}this._set_vertices(e,t)}_doubletap(e){this.model.active&&(this._drawing?(this._drawing=!1,this._draw(e,\"edit\",!0)):(this._drawing=!0,this._draw(e,\"new\",!0)))}_move(e){this._drawing&&this._draw(e,\"edit\")}_remove(){const e=this.model.renderers[0],t=e.data_source,s=e.glyph,[i,r]=[s.xs.field,s.ys.field];if(i){const e=t.data[i].length-1,s=t.get_array(i)[e];s.splice(s.length-1,1)}if(r){const e=t.data[r].length-1,s=t.get_array(r)[e];s.splice(s.length-1,1)}this._emit_cds_changes(t)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Backspace?this._delete_selected(t):e.keyCode==r.Keys.Esc&&(this._drawing&&(this._remove(),this._drawing=!1),t.data_source.selection_manager.clear())}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){if(null==this._basepoint||!this.model.drag)return;const[t,s]=this._basepoint;for(const i of this.model.renderers){const r=this._map_drag(t,s,i),a=this._map_drag(e.sx,e.sy,i);if(null==a||null==r)continue;const o=i.data_source,n=i.glyph,[_,d]=[n.xs.field,n.ys.field];if(!_&&!d)continue;const[l,h]=a,[c,g]=r,[p,f]=[l-c,h-g];for(const e of o.selected.indices){let t,s,i;_&&(s=o.data[_][e]),d?(i=o.data[d][e],t=i.length):t=s.length;for(let e=0;e<t;e++)s&&(s[e]+=p),i&&(i[e]+=f)}o.change.emit()}this._basepoint=[e.sx,e.sy]}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source);this._basepoint=null}}activate(){if(this.model.vertex_renderer&&this.model.active){if(this._show_vertices(),!this._initialized)for(const e of this.model.renderers){const t=e.data_source;t.connect(t.properties.data.change,()=>this._show_vertices())}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=d,d.__name__=\"PolyDrawToolView\";class l extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.bk_tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}static init_PolyDrawTool(){this.prototype.default_view=d,this.define({drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),i=e(8),s=e(332);class _ extends s.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,_]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),_&&(i.isArray(t)?o.data[_]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,\"replace\",[this.model.vertex_renderer]),i=this.model.vertex_renderer.data_source,s=this.model.vertex_renderer.glyph,[_,l]=[s.x.field,s.y.field];if(o.length){const e=i.selected.indices[0];_&&(t=i.data[_][e]),l&&(r=i.data[l][e]),i.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class l extends s.EditTool{constructor(e){super(e)}static init_PolyTool(){this.prototype.default_view=_,this.define({vertex_renderer:[o.Instance]})}}r.PolyTool=l,l.__name__=\"PolyTool\",l.init_PolyTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(68),i=e(8),_=e(337),d=e(287);class n extends _.PolyToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this._select_event(e,\"replace\",this.model.renderers);if(!t.length)return this._set_vertices([],[]),this._selected_renderer=null,void(this._drawing=!1);const s=t[0],r=s.glyph,_=s.data_source,d=_.selected.indices[0],[n,l]=[r.xs.field,r.ys.field];let a,c;n?(a=_.data[n][d],i.isArray(a)||(_.data[n][d]=a=Array.from(a))):a=r.xs.value,l?(c=_.data[l][d],i.isArray(c)||(_.data[l][d]=c=Array.from(c))):c=r.ys.value,this._selected_renderer=s,this._set_vertices(a,c)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===r.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==r.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=n,n.__name__=\"PolyEditToolView\";class l extends _.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=d.bk_tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=n}}s.PolyEditTool=l,l.__name__=\"PolyEditTool\",l.init_PolyEditTool()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(340),l=e(107),_=s.__importStar(e(18)),n=e(287);class c extends i.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.push_state(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const _={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(_,i,l)}}o.BoxSelectToolView=c,c.__name__=\"BoxSelectToolView\";const r=()=>new l.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=n.bk_tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=c,this.define({dimensions:[_.Dimensions,\"both\"],select_every_mousemove:[_.Boolean,!1],overlay:[_.Instance,r],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_select\",()=>new h),this.register_alias(\"xbox_select\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_select\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}o.BoxSelectTool=h,h.__name__=\"BoxSelectTool\",h.init_BoxSelectTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),r=e(81),c=e(100),i=e(341),l=n.__importStar(e(18)),a=e(68),d=e(291),_=e(14),h=e(11);class u extends o.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect(()=>this._clear())}get computed_renderers(){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;return i.compute_renderers(e,t,s)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof r.GlyphRenderer)n=s.data_source;else{if(!(s instanceof c.GraphRenderer))continue;n=s.node_renderer.data_source}const o=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...o,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void h.unreachable():this.model.mode}_keyup(e){e.keyCode==a.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();this.plot_view.request_render()}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,o]of n){const n=o[0].get_selection_manager(),r=[];for(const e of o){const t=this.plot_view.renderer_views.get(e);null!=t&&r.push(t)}n.select(r,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{frame:s}=this.plot_view,n=s.xscales.default,o=s.yscales.default;let r;switch(e.type){case\"point\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:s,sy0:c,sy1:i}=e,[l,a]=n.r_invert(t,s),[d,_]=o.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:l,y0:d,x1:a,y1:_});break}case\"poly\":{const{sx:t,sy:s}=e,c=n.v_invert(t),i=o.v_invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new d.SelectionGeometry(r,t))}}s.SelectToolView=u,u.__name__=\"SelectToolView\";class p extends o.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new _.Signal0(this,\"clear\")}static init_SelectTool(){this.define({renderers:[l.Any,\"auto\"],names:[l.Array,[]],mode:[l.Any,\"replace\"]})}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=p,p.__name__=\"SelectTool\",p.init_SelectTool()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(9);t.compute_renderers=function(e,n,t){if(null==e)return[];let u=\"auto\"==e?n:e;return t.length>0&&(u=u.filter(e=>r.includes(t,e.name))),u}},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),i=t(284),n=t(107),_=s.__importStar(t(18)),a=t(287);class l extends i.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m<n&&(m=n)),l=Math.abs(p-m),t[1]<=o[1]?(b=t[1],d=t[1]+l/s,d>_&&(d=_)):(d=t[1],b=t[1]-l/s,b<a&&(b=a)),r=Math.abs(d-b),t[0]<=o[0]?p=t[0]+s*r:m=t[0]-s*r,[[m,p],[b,d]]}_compute_limits(t){const o=this.plot_view.frame,e=this.model.dimensions;let s,i,n=this._base_point;if(\"center\"==this.model.origin){const[o,e]=n,[s,i]=t;n=[o-(s-o),e-(i-e)]}return this.model.match_aspect&&\"both\"==e?[s,i]=this._match_aspect(n,t,o):[s,i]=this.model._get_dim_limits(n,t,o,e),[s,i]}_pan_start(t){this._base_point=[t.sx,t.sy]}_pan(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this.model.overlay.update({left:e[0],right:e[1],top:s[0],bottom:s[1]})}_pan_end(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this._update(e,s),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null}_update([t,o],[e,s]){if(Math.abs(o-t)<=5||Math.abs(s-e)<=5)return;const{xscales:i,yscales:n}=this.plot_view.frame,_={};for(const e in i){const s=i[e],[n,a]=s.r_invert(t,o);_[e]={start:n,end:a}}const a={};for(const t in n){const o=n[t],[i,_]=o.r_invert(e,s);a[t]={start:i,end:_}}const l={xrs:_,yrs:a};this.plot_view.push_state(\"box_zoom\",{range:l}),this.plot_view.update_range(l)}}e.BoxZoomToolView=l,l.__name__=\"BoxZoomToolView\";const r=()=>new n.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=a.bk_tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=l,this.define({dimensions:[_.Dimensions,\"both\"],overlay:[_.Instance,r],match_aspect:[_.Boolean,!1],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_zoom\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xbox_zoom\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_zoom\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}e.BoxZoomTool=h,h.__name__=\"BoxZoomTool\",h.init_BoxZoomTool()},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(340),i=e(139),a=e(68),_=o.__importStar(e(18)),c=e(287);class n extends l.SelectToolView{initialize(){super.initialize(),this.data=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_overlay()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_overlay()}_pan_start(e){const{sx:s,sy:t}=e;this.data={sx:[s],sy:[t]}}_pan(e){const{sx:s,sy:t}=e,[o,l]=this.plot_view.frame.bbox.clip(s,t);this.data.sx.push(o),this.data.sy.push(l),this.model.overlay.update({xs:this.data.sx,ys:this.data.sy}),this.model.select_every_mousemove&&this._do_select(this.data.sx,this.data.sy,!1,this._select_mode(e))}_pan_end(e){this._clear_overlay(),this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"lasso_select\",{selection:this.plot_view.get_selection()})}_clear_overlay(){this.model.overlay.update({xs:[],ys:[]})}_do_select(e,s,t,o){const l={type:\"poly\",sx:e,sy:s};this._select(l,t,o)}}t.LassoSelectToolView=n,n.__name__=\"LassoSelectToolView\";const h=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class r extends l.SelectTool{constructor(e){super(e),this.tool_name=\"Lasso Select\",this.icon=c.bk_tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=n,this.define({select_every_mousemove:[_.Boolean,!0],overlay:[_.Instance,h]}),this.register_alias(\"lasso_select\",()=>new r)}}t.LassoSelectTool=r,r.__name__=\"LassoSelectTool\",r.init_LassoSelectTool()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(345),r=s.__importStar(e(18)),_=e(287);class d extends n.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const i of t){1==this._select_event(e,\"replace\",[i]).length&&(this._selected_renderer=i)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[i,s]=[t.x.field,t.y.field],n=e.get_array(i),r=e.get_array(s);this._set_intersection(n,r)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const i=this._select_mode(e);if(0==this._select_event(e,i,[t]).length)return}const i=this._select_mode(e);this._select_event(e,i,[t]),this._select_event(e,i,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[i,s]=[e.x.field,e.y.field];if(i&&s){const e=t.data[i],n=t.data[s];this._selected_renderer.data_source.data[i]=e,this._selected_renderer.data_source.data[s]=n}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}i.LineEditToolView=d,d.__name__=\"LineEditToolView\";class o extends n.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=_.bk_tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_LineEditTool(){this.prototype.default_view=d,this.define({dimensions:[r.Dimensions,\"both\"]})}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.LineEditTool=o,o.__name__=\"LineEditTool\",o.init_LineEditTool()},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1).__importStar(e(18)),o=e(8),s=e(332);class _ extends s.EditToolView{_set_intersection(e,i){const t=this.model.intersection_renderer.glyph,n=this.model.intersection_renderer.data_source,[s,_]=[t.x.field,t.y.field];s&&(o.isArray(e)?n.data[s]=e:t.x={value:e}),_&&(o.isArray(i)?n.data[_]=i:t.y={value:i}),this._emit_cds_changes(n,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}t.LineToolView=_,_.__name__=\"LineToolView\";class r extends s.EditTool{constructor(e){super(e)}static init_LineTool(){this.prototype.default_view=_,this.define({intersection_renderer:[n.Instance]})}}t.LineTool=r,r.__name__=\"LineTool\",r.init_LineTool()},\n      function _(t,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),e=t(284),o=i.__importStar(t(18)),a=t(287);class _ extends e.GestureToolView{_pan_start(t){this.last_dx=0,this.last_dy=0;const{sx:s,sy:n}=t,i=this.plot_view.frame.bbox;if(!i.contains(s,n)){const t=i.h_range,e=i.v_range;(s<t.start||s>t.end)&&(this.v_axis_only=!0),(n<e.start||n>e.end)&&(this.h_axis_only=!0)}null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan(t){this._update(t.deltaX,t.deltaY),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.push_state(\"pan\",{range:this.pan_info})}_update(t,s){const n=this.plot_view.frame,i=t-this.last_dx,e=s-this.last_dy,o=n.bbox.h_range,a=o.start-i,_=o.end-i,h=n.bbox.v_range,l=h.start-e,r=h.end-e,d=this.model.dimensions;let c,p,m,u,x,y;\"width\"!=d&&\"both\"!=d||this.v_axis_only?(c=o.start,p=o.end,m=0):(c=a,p=_,m=-i),\"height\"!=d&&\"both\"!=d||this.h_axis_only?(u=h.start,x=h.end,y=0):(u=l,x=r,y=-e),this.last_dx=t,this.last_dy=s;const{xscales:v,yscales:b}=n,g={};for(const t in v){const s=v[t],[n,i]=s.r_invert(c,p);g[t]={start:n,end:i}}const w={};for(const t in b){const s=b[t],[n,i]=s.r_invert(u,x);w[t]={start:n,end:i}}this.pan_info={xrs:g,yrs:w,sdx:m,sdy:y},this.plot_view.update_range(this.pan_info,!0)}}n.PanToolView=_,_.__name__=\"PanToolView\";class h extends e.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=_,this.define({dimensions:[o.Dimensions,\"both\"]}),this.register_alias(\"pan\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xpan\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ypan\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(\"Pan\",this.dimensions)}get icon(){switch(this.dimensions){case\"both\":return a.bk_tool_icon_pan;case\"width\":return a.bk_tool_icon_xpan;case\"height\":return a.bk_tool_icon_ypan}}}n.PanTool=h,h.__name__=\"PanTool\",h.init_PanTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const l=e(1),o=e(340),i=e(139),a=e(68),_=l.__importStar(e(18)),c=e(9),n=e(287);class h extends o.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:c.copy(this.data.sx),ys:c.copy(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=h,h.__name__=\"PolySelectToolView\";const y=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.bk_tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define({overlay:[_.Instance,y]}),this.register_alias(\"poly_select\",()=>new d)}}s.PolySelectTool=d,d.__name__=\"PolySelectTool\",d.init_PolySelectTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(107),l=e(72),a=i.__importStar(e(18)),r=e(284),o=e(287);function _(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function h(e,t,s,i){if(null==t)return!1;const n=s.compute(t);return Math.abs(e-n)<i}function d(e,t,s,i,n){let l=!0;if(null!=n.left&&null!=n.right){const t=s.invert(e);(t<n.left||t>n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=i.invert(t);(e<n.bottom||e>n.top)&&(l=!1)}return l}function u(e,t,s){let i=0;return e>=s.start&&e<=s.end&&(i+=1),t>=s.start&&t<=s.end&&(i+=1),i}function c(e,t,s,i){const n=t.compute(e),l=t.invert(n+s);return l>=i.start&&l<=i.end?l:e}function g(e,t,s){return e>t.start?(t.end=e,s):(t.end=t.start,t.start=e,_(s))}function y(e,t,s){return e<t.end?(t.start=e,s):(t.start=t.end,t.end=e,_(s))}function f(e,t,s,i){const[n,l]=t.r_compute(e.start,e.end),[a,r]=t.r_invert(n+s,l+s),o=u(e.start,e.end,i);u(a,r,i)>=o&&(e.start=a,e.end=r)}s.flip_side=_,s.is_near=h,s.is_inside=d,s.sides_inside=u,s.compute_value=c,s.update_range_end_side=g,s.update_range_start_side=y,s.update_range=f;class p extends r.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,()=>this.model.update_overlay_from_ranges()),null!=this.model.y_range&&this.connect(this.model.y_range.change,()=>this.model.update_overlay_from_ranges())}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,s=this.model.y_range,i=this.plot_view.frame,l=i.xscales.default,a=i.yscales.default,r=this.model.overlay,{left:o,right:_,top:u,bottom:c}=r,g=this.model.overlay.properties.line_width.value()+n.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(h(e.sx,o,l,g)?this.side=1:h(e.sx,_,l,g)?this.side=2:d(e.sx,e.sy,l,a,r)&&(this.side=3)),null!=s&&this.model.y_interaction&&(0==this.side&&h(e.sy,c,a,g)&&(this.side=4),0==this.side&&h(e.sy,u,a,g)?this.side=5:d(e.sx,e.sy,l,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,s=e.deltaX-this.last_dx,i=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.xscales.default,r=t.yscales.default;if(null!=n)if(3==this.side||7==this.side)f(n,a,s,t.x_range);else if(1==this.side){const e=c(n.start,a,s,t.x_range);this.side=y(e,n,this.side)}else if(2==this.side){const e=c(n.end,a,s,t.x_range);this.side=g(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)f(l,r,i,t.y_range);else if(4==this.side){const e=c(l.start,r,i,t.y_range);this.side=y(e,l,this.side)}else if(5==this.side){const e=c(l.end,r,i,t.y_range);this.side=g(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0}}s.RangeToolView=p,p.__name__=\"RangeToolView\";const m=()=>new n.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class v extends r.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=o.bk_tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=p,this.define({x_range:[a.Instance,null],x_interaction:[a.Boolean,!0],y_range:[a.Instance,null],y_interaction:[a.Boolean,!0],overlay:[a.Instance,m]})}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,l.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}s.RangeTool=v,v.__name__=\"RangeTool\",v.init_RangeTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),o=e(340),a=i.__importStar(e(18)),n=e(287);class _ extends o.SelectToolView{_tap(e){const{sx:t,sy:s}=e,i={type:\"point\",sx:t,sy:s};this._select(i,!0,this._select_mode(e))}_select(e,t,s){const i=this.model.callback;if(\"select\"==this.model.behavior){const o=this._computed_renderers_by_data_source();for(const[,a]of o){const o=a[0].get_selection_manager(),n=a.map(e=>this.plot_view.renderer_views.get(e));if(o.select(n,e,t,s)&&null!=i){const{frame:t}=this.plot_view,s=t.xscales[a[0].x_range_name],n=t.yscales[a[0].y_range_name],_=s.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:o.source};i.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.push_state(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=t.get_selection_manager();if(s.inspect(this.plot_view.renderer_views.get(t),e)&&null!=i){const{frame:o}=this.plot_view,a=o.xscales[t.x_range_name],n=o.yscales[t.y_range_name],_=a.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:s.source};i.execute(this.model,l)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class c extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=n.bk_tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=_,this.define({behavior:[a.TapBehavior,\"select\"],callback:[a.Any]}),this.register_alias(\"click\",()=>new c({behavior:\"inspect\"})),this.register_alias(\"tap\",()=>new c)}}s.TapTool=c,c.__name__=\"TapTool\",c.init_TapTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),i=n.__importStar(e(18)),a=e(287);class l extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){const{frame:t}=this.plot_view,s=t.bbox.h_range,n=t.bbox.v_range,[o,i]=[s.start,s.end],[a,l]=[n.start,n.end];let r,h,_,d;switch(this.model.dimension){case\"height\":{const t=Math.abs(l-a);r=o,h=i,_=a-t*e,d=l-t*e;break}case\"width\":{const t=Math.abs(i-o);r=o-t*e,h=i-t*e,_=a,d=l;break}default:throw new Error(\"this shouldn't have happened\")}const{xscales:c,yscales:p}=t,m={};for(const e in c){const t=c[e],[s,n]=t.r_invert(r,h);m[e]={start:s,end:n}}const u={};for(const e in p){const t=p[e],[s,n]=t.r_invert(_,d);u[e]={start:s,end:n}}const w={xrs:m,yrs:u,factor:e};this.plot_view.push_state(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,!1,!0),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}s.WheelPanToolView=l,l.__name__=\"WheelPanToolView\";class r extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=a.bk_tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=l,this.define({dimension:[i.Dimension,\"width\"]}),this.internal({speed:[i.Number,.001]}),this.register_alias(\"xwheel_pan\",()=>new r({dimension:\"width\"})),this.register_alias(\"ywheel_pan\",()=>new r({dimension:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimension)}}s.WheelPanTool=r,r.__name__=\"WheelPanTool\",r.init_WheelPanTool()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),i=e(284),l=e(330),n=s.__importStar(e(18)),_=e(28),h=e(287);class a extends i.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:l}=e;let n;n=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:n,ctrlKey:i,shiftKey:l})}_scroll(e){const{frame:o}=this.plot_view,t=o.bbox.h_range,s=o.bbox.v_range,{sx:i,sy:n}=e,_=this.model.dimensions,h=(\"width\"==_||\"both\"==_)&&t.start<i&&i<t.end,a=(\"height\"==_||\"both\"==_)&&s.start<n&&n<s.end;if(!(h&&a||this.model.zoom_on_axis))return;const m=this.model.speed*e.delta,r=l.scale_range(o,m,h,a,{x:i,y:n});this.plot_view.push_state(\"wheel_zoom\",{range:r}),this.plot_view.update_range(r,!1,!0,this.model.maintain_focus),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}t.WheelZoomToolView=a,a.__name__=\"WheelZoomToolView\";class m extends i.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=h.bk_tool_icon_wheel_zoom,this.event_type=_.is_mobile?\"pinch\":\"scroll\",this.default_order=10}static init_WheelZoomTool(){this.prototype.default_view=a,this.define({dimensions:[n.Dimensions,\"both\"],maintain_focus:[n.Boolean,!0],zoom_on_axis:[n.Boolean,!0],speed:[n.Number,1/600]}),this.register_alias(\"wheel_zoom\",()=>new m({dimensions:\"both\"})),this.register_alias(\"xwheel_zoom\",()=>new m({dimensions:\"width\"})),this.register_alias(\"ywheel_zoom\",()=>new m({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}t.WheelZoomTool=m,m.__name__=\"WheelZoomTool\",m.init_WheelZoomTool()},\n      function _(i,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=i(1),o=i(274),n=i(141),l=t.__importStar(i(18)),h=i(17),a=i(287);class r extends o.InspectToolView{_move(i){if(!this.model.active)return;const{sx:s,sy:e}=i;this.plot_view.frame.bbox.contains(s,e)?this._update_spans(s,e):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,s){const e=this.model.dimensions;\"width\"!=e&&\"both\"!=e||(this.model.spans.width.location=s),\"height\"!=e&&\"both\"!=e||(this.model.spans.height.location=i)}}e.CrosshairToolView=r,r.__name__=\"CrosshairToolView\";class _ extends o.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=a.bk_tool_icon_crosshair}static init_CrosshairTool(){this.prototype.default_view=r,this.define({dimensions:[l.Dimensions,\"both\"],line_color:[l.Color,\"black\"],line_width:[l.Number,1],line_alpha:[l.Number,1]}),this.internal({spans:[l.Any]}),this.register_alias(\"crosshair\",()=>new _)}get tooltip(){return this._get_dim_tooltip(\"Crosshair\",this.dimensions)}get synthetic_renderers(){return h.values(this.spans)}initialize(){super.initialize(),this.spans={width:new n.Span({for_hover:!0,dimension:\"width\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha}),height:new n.Span({for_hover:!0,dimension:\"height\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha})}}}e.CrosshairTool=_,_.__name__=\"CrosshairTool\",_.init_CrosshairTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),o=e(71),i=r.__importStar(e(18)),a=e(17),n=e(24);class u extends o.Model{constructor(e){super(e)}static init_CustomJSHover(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get values(){return a.values(this.args)}_make_code(e,t,s,r){return new Function(...a.keys(this.args),e,t,s,n.use_strict(r))}format(e,t,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,t,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(274),i=e(144),r=e(81),l=e(100),a=e(341),c=n.__importStar(e(93)),d=e(160),_=e(68),p=n.__importStar(e(18)),h=e(20),m=e(17),u=e(8),y=e(99),x=e(287),f=e(145);function v(e,t,s,n,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[e+1]};let a,d;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-s),d=Math.abs(l.x-s)):(a=Math.abs(r.y-n),d=Math.abs(l.y-n));else{const e={x:s,y:n};a=c.dist_2_pts(r,e),d=c.dist_2_pts(l,e)}return a<d?[[r.x,r.y],e]:[[l.x,l.y],e+1]}function w(e,t,s){return[[e[s],t[s]],s]}s._nearest_line_hit=v,s._line_hit=w;class g extends o.InspectToolView{initialize(){super.initialize(),this._ttmodels=null,this._ttviews=new Map}remove(){y.remove_views(this._ttviews),super.remove()}connect_signals(){super.connect_signals();for(const e of this.computed_renderers)e instanceof r.GlyphRenderer?this.connect(e.data_source.inspect,this._update):e instanceof l.GraphRenderer&&(this.connect(e.node_renderer.data_source.inspect,this._update),this.connect(e.edge_renderer.data_source.inspect,this._update));this.connect(this.model.properties.renderers.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.names.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.tooltips.change,()=>this._ttmodels=null)}_compute_ttmodels(){const e=new Map,t=this.model.tooltips;if(null!=t)for(const s of this.computed_renderers){const n=new i.Tooltip({custom:u.isString(t)||u.isFunction(t),attachment:this.model.attachment,show_arrow:this.model.show_arrow});s instanceof r.GlyphRenderer?e.set(s,n):s instanceof l.GraphRenderer&&(e.set(s.node_renderer,n),e.set(s.edge_renderer,n))}return y.build_views(this._ttviews,[...e.values()],{parent:this.plot_view}),e}get computed_renderers(){if(null==this._computed_renderers){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;this._computed_renderers=a.compute_renderers(e,t,s)}return this._computed_renderers}get ttmodels(){return null==this._ttmodels&&(this._ttmodels=this._compute_ttmodels()),this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)?this._inspect(t,s):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let s;if(\"mouse\"==this.model.mode)s={type:\"point\",sx:e,sy:t};else{s={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){e.get_selection_manager().inspect(this.plot_view.renderer_views.get(e),s)}null!=this.model.callback&&this._emit_callback(s)}_update([e,{geometry:t}]){if(!this.model.active)return;if(!(e instanceof r.GlyphRendererView))return;const{model:s}=e;if(\"ignore\"==this.model.muted_policy&&s instanceof r.GlyphRenderer&&s.muted)return;const n=this.ttmodels.get(s);if(null==n)return;n.clear();const o=s.get_selection_manager();let i=o.inspectors.get(s);if(s instanceof r.GlyphRenderer&&(i=s.view.convert_selection_to_subset(i)),i.is_empty())return;const l=o.source,{frame:a}=this.plot_view,{sx:c,sy:d}=t,_=a.xscales[s.x_range_name],p=a.yscales[s.y_range_name],h=_.invert(c),u=p.invert(d),y=e.glyph;for(const s of i.line_indices){let o,r,a=y._x[s+1],m=y._y[s+1],x=s;switch(this.model.line_policy){case\"interp\":[a,m]=y.get_interpolation_hit(s,t),o=_.compute(a),r=p.compute(m);break;case\"prev\":[[o,r],x]=w(y.sx,y.sy,s);break;case\"next\":[[o,r],x]=w(y.sx,y.sy,s+1);break;case\"nearest\":[[o,r],x]=v(s,t,c,d,y.sx,y.sy),a=y._x[x],m=y._y[x];break;default:[o,r]=[c,d]}const f={index:x,x:h,y:u,sx:c,sy:d,data_x:a,data_y:m,rx:o,ry:r,indices:i.line_indices,name:e.model.name};n.add(o,r,this._render_tooltips(l,x,f))}for(const e of i.image_indices){const t={index:e.index,x:h,y:u,sx:c,sy:d},s=this._render_tooltips(l,e,t);n.add(c,d,s)}for(const o of i.indices)if(m.isEmpty(i.multiline_indices)){const t=null!=y._x?y._x[o]:void 0,a=null!=y._y?y._y[o]:void 0;let _,p,m;if(\"snap_to_data\"==this.model.point_policy){let e=y.get_anchor_point(this.model.anchor,o,[c,d]);null==e&&(e=y.get_anchor_point(\"center\",o,[c,d])),_=e.x,p=e.y}else[_,p]=[c,d];m=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const x={index:m,x:h,y:u,sx:c,sy:d,data_x:t,data_y:a,indices:i.indices,name:e.model.name};n.add(_,p,this._render_tooltips(l,m,x))}else for(const a of i.multiline_indices[o.toString()]){let m,x,f,g=y._xs[o][a],b=y._ys[o][a],k=a;switch(this.model.line_policy){case\"interp\":[g,b]=y.get_interpolation_hit(o,a,t),m=_.compute(g),x=p.compute(b);break;case\"prev\":[[m,x],k]=w(y.sxs[o],y.sys[o],a);break;case\"next\":[[m,x],k]=w(y.sxs[o],y.sys[o],a+1);break;case\"nearest\":[[m,x],k]=v(a,t,c,d,y.sxs[o],y.sys[o]),g=y._xs[o][k],b=y._ys[o][k];break;default:throw new Error(\"should't have happened\")}f=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const T={index:f,x:h,y:u,sx:c,sy:d,data_x:g,data_y:b,segment_index:k,indices:i.multiline_indices,name:e.model.name};n.add(m,x,this._render_tooltips(l,f,T))}}_emit_callback(e){for(const t of this.computed_renderers){const s=t.data_source.inspected,{frame:n}=this.plot_view,o=n.xscales[t.x_range_name],i=n.yscales[t.y_range_name],r=o.invert(e.sx),l=i.invert(e.sy),a=Object.assign({x:r,y:l},e);this.model.callback.execute(this.model,{index:s,geometry:a,renderer:t})}}_render_tooltips(e,t,s){const n=this.model.tooltips;if(u.isString(n)){const o=_.div();return o.innerHTML=d.replace_placeholders(n,e,t,this.model.formatters,s),o}if(u.isFunction(n))return n(e,s);{const o=_.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[i,r]of n){const n=_.div({style:{display:\"table-row\"}});let l;if(o.appendChild(n),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_label},0!=i.length?i+\": \":\"\"),n.appendChild(l),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_value}),n.appendChild(l),r.indexOf(\"$color\")>=0){const[,s=\"\",n]=r.match(/\\$color(\\[.*\\])?:(\\w*)/),o=e.get_column(n);if(null==o){const e=_.span({},n+\" unknown\");l.appendChild(e);continue}const i=s.indexOf(\"hex\")>=0,a=s.indexOf(\"swatch\")>=0;let c=u.isNumber(t)?o[t]:null;if(null==c){const e=_.span({},\"(null)\");l.appendChild(e);continue}i&&(c=h.color2hex(c));let d=_.span({},c);l.appendChild(d),a&&(d=_.span({class:f.bk_tooltip_color_block,style:{backgroundColor:c}},\" \"),l.appendChild(d))}else{const n=_.span();n.innerHTML=d.replace_placeholders(r.replace(\"$~\",\"$data_\"),e,t,this.model.formatters,s),l.appendChild(n)}}return o}}}s.HoverToolView=g,g.__name__=\"HoverToolView\";class b extends o.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=x.bk_tool_icon_hover}static init_HoverTool(){this.prototype.default_view=g,this.define({tooltips:[p.Any,[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[p.Any,{}],renderers:[p.Any,\"auto\"],names:[p.Array,[]],mode:[p.HoverMode,\"mouse\"],muted_policy:[p.MutedPolicy,\"show\"],point_policy:[p.PointPolicy,\"snap_to_data\"],line_policy:[p.LinePolicy,\"nearest\"],show_arrow:[p.Boolean,!0],anchor:[p.Anchor,\"center\"],attachment:[p.TooltipAttachment,\"horizontal\"],callback:[p.Any]}),this.register_alias(\"hover\",()=>new b)}}s.HoverTool=b,b.__name__=\"HoverTool\",b.init_HoverTool()},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),n=t(14),s=t(71),l=t(274),c=t(356);class r extends s.Model{constructor(t){super(t)}static init_ToolProxy(){this.define({tools:[i.Array,[]],active:[i.Boolean,!1],disabled:[i.Boolean,!1]})}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get 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t=e(9);function*r(e,n){const o=e.length;if(n>o)return;const r=t.range(n);for(yield r.map(n=>e[n]);;){let f;for(const e of t.reversed(t.range(n)))if(r[e]!=e+o-n){f=e;break}if(null==f)return;r[f]+=1;for(const e of t.range(f+1,n))r[e]=r[e-1]+1;yield r.map(n=>e[n])}}o.enumerate=function*(e){let n=0;for(const o of e)yield[o,n++]},o.combinations=r,o.subsets=function*(e){for(const n of t.range(e.length+1))yield*r(e,n)}},\n      function _(t,o,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),e=t(9),n=t(283),r=t(355),l=t(245),c=t(188);class h extends n.ToolbarBase{constructor(t){super(t)}static init_ProxyToolbar(){this.define({toolbars:[i.Array,[]]})}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const t={},o={},s={},i=[],n=[];for(const t of this.help)e.includes(n,t.redirect)||(i.push(t),n.push(t.redirect));this._proxied_tools.push(...i),this.help=i;for(const t in this.gestures){const o=this.gestures[t];t in s||(s[t]={});for(const i of o.tools)i.type in s[t]||(s[t][i.type]=[]),s[t][i.type].push(i)}for(const o of this.inspectors)o.type in t||(t[o.type]=[]),t[o.type].push(o);for(const t of this.actions)t.type in o||(o[t.type]=[]),o[t.type].push(t);const l=(t,o=!1)=>{const s=new r.ToolProxy({tools:t,active:o});return this._proxied_tools.push(s),s};for(const t in s){const o=this.gestures[t];o.tools=[];for(const i in s[t]){const e=s[t][i];if(e.length>0)if(\"multi\"==t)for(const t of e){const s=l([t]);o.tools.push(s),this.connect(s.properties.active.change,()=>this._active_change(s))}else{const t=l(e);o.tools.push(t),this.connect(t.properties.active.change,()=>this._active_change(t))}}}this.actions=[];for(const t in o){const s=o[t];if(\"CustomAction\"==t)for(const t of s)this.actions.push(l([t]));else s.length>0&&this.actions.push(l(s))}this.inspectors=[];for(const o in t){const s=t[o];s.length>0&&this.inspectors.push(l(s,!0))}for(const t in this.gestures){const o=this.gestures[t];0!=o.tools.length&&(o.tools=e.sort_by(o.tools,t=>t.default_order),\"pinch\"!=t&&\"scroll\"!=t&&\"multi\"!=t&&(o.tools[0].active=!0))}}}s.ProxyToolbar=h,h.__name__=\"ProxyToolbar\",h.init_ProxyToolbar();class a extends l.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new c.ContentBox(this.child_views[0].el);const{toolbar:t}=this.model;t.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}}s.ToolbarBoxView=a,a.__name__=\"ToolbarBoxView\";class _ extends l.LayoutDOM{constructor(t){super(t)}static init_ToolbarBox(){this.prototype.default_view=a,this.define({toolbar:[i.Instance],toolbar_location:[i.Location,\"right\"]})}}s.ToolbarBox=_,_.__name__=\"ToolbarBox\",_.init_ToolbarBox()},\n      function 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Error(`Error rendering Bokeh model: could not find #${e} HTML tag`);if(!document.body.contains(o))throw new Error(`Error rendering Bokeh model: element #${e} must be under <body>`);if(\"SCRIPT\"==o.tagName){const e=t.div({class:n.BOKEH_ROOT});t.replaceWith(o,e),o=e}return o}n.BOKEH_ROOT=r.bk_root,n._resolve_element=function(e){const{elementid:o}=e;return null!=o?l(o):document.body},n._resolve_root_elements=function(e){const o=[];if(null!=e.root_ids&&null!=e.roots)for(const n of e.root_ids)o.push(l(e.roots[n]));return o}},\n      function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=n(361),s=n(72),c=n(358);t._get_ws_url=function(n,o){let t,e=\"ws:\";return\"https:\"==window.location.protocol&&(e=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),e+\"//\"+t.host+n+\"/ws\"};const r={};t.add_document_from_session=async function(n,o,t,a=[],i=!1){const 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h{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,o=null){this.url=e,this.token=s,this.args_string=o,this._number=l++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new i.Receiver,this.id=_(s).session_id.split(\".\")[0],t.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=\"\"+this.url;return null!=this.args_string&&this.args_string.length>0&&(e+=\"?\"+this.args_string),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)})}catch(e){throw t.logger.error(\"websocket creation failed to url: \"+this.url),t.logger.error(\" - \"+e),e}}close(){this.closed_permanently||(t.logger.debug(\"Permanently closing websocket connection \"+this._number),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,\"close method called on ClientConnection \"+this._number),this.session._connection_closed())}_schedule_reconnect(e){setTimeout(()=>{this.closed_permanently||t.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)},e)}send(e){if(null==this.socket)throw new Error(\"not connected so cannot send \"+e);e.send(this.socket)}async send_with_reply(e){const s=await new 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c.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],t.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),t.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),t.logger.error(\"Failed to repull session \"+e),s(e)}}_on_open(e,s){t.logger.info(`Websocket connection ${this._number} is now open`),this._current_handler=n=>{this._awaiting_ack_handler(n,e,s)}}_on_message(e){null==this._current_handler&&t.logger.error(\"Got a message with no current handler set\");try{this._receiver.consume(e.data)}catch(e){this._close_bad_protocol(e.toString())}const s=this._receiver.message;if(null!=s){const e=s.problem();null!=e&&this._close_bad_protocol(e),this._current_handler(s)}}_on_close(e,s){t.logger.info(`Lost websocket ${this._number} connection, ${e.code} (${e.reason})`),this.socket=null,this._pending_replies.forEach(e=>e.reject(\"Disconnected\")),this._pending_replies.clear(),this.closed_permanently||this._schedule_reconnect(2e3),s(new Error(`Lost websocket connection, ${e.code} (${e.reason})`))}_on_error(e){t.logger.debug(\"Websocket error on socket \"+this._number);const s=\"Could not open websocket\";t.logger.error(\"Failed to connect to Bokeh server: \"+s),e(new Error(s))}_close_bad_protocol(e){t.logger.error(\"Closing connection: \"+e),null!=this.socket&&this.socket.close(1002,e)}_awaiting_ack_handler(e,s,n){\"ACK\"===e.msgtype()?(this._current_handler=e=>this._steady_state_handler(e),this._repull_session_doc(s,n)):this._close_bad_protocol(\"First message was not an ACK\")}_steady_state_handler(e){const s=e.reqid(),n=this._pending_replies.get(s);n?(this._pending_replies.delete(s),n.resolve(e)):this.session?this.session.handle(e):\"PATCH-DOC\"!=e.msgtype()&&this._pending_messages.push(e)}}n.ClientConnection=h,h.__name__=\"ClientConnection\",n.pull_session=function(e,s,n){return new h(e,s,n).connect()}},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(24);class n{constructor(e,s,t){this.header=e,this.metadata=s,this.content=t,this.buffers=new Map}static assemble(e,s,t){const r=JSON.parse(e),i=JSON.parse(s),a=JSON.parse(t);return new n(r,i,a)}assemble_buffer(e,s){const t=null!=this.header.num_buffers?this.header.num_buffers:0;if(t<=this.buffers.size)throw new Error(\"too many buffers received, expecting \"+t);const{id:r}=JSON.parse(e);this.buffers.set(r,s)}static create(e,s,t={}){const r=n.create_header(e);return new n(r,s,t)}static create_header(e){return{msgid:r.uniqueId(),msgtype:e}}complete(){return null!=this.header&&null!=this.metadata&&null!=this.content&&(null==this.header.num_buffers||this.buffers.size==this.header.num_buffers)}send(e){if((null!=this.header.num_buffers?this.header.num_buffers:0)>0)throw new Error(\"BokehJS only supports receiving buffers, not sending\");const s=JSON.stringify(this.header),t=JSON.stringify(this.metadata),r=JSON.stringify(this.content);e.send(s),e.send(t),e.send(r)}msgid(){return this.header.msgid}msgtype(){return this.header.msgtype}reqid(){return this.header.reqid}problem(){return\"msgid\"in this.header?\"msgtype\"in this.header?null:\"No msgtype in header\":\"No msgid in header\"}}t.Message=n,n.__name__=\"Message\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const _=e(362),r=e(8);class 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new Promise((function(n,r){(function(e,o,t,n){Promise.resolve(n).then((function(o){e({value:o,done:t})}),o)})(n,r,(o=e[t](o)).done,o.value)}))}}};const s=e(5),i=e(363),l=e(72),a=e(68),c=e(17),u=e(358),f=e(359),g=n.__importDefault(e(69)),m=n.__importDefault(e(289)),d=n.__importDefault(e(366));function p(e,o){o.buffers.length>0?e.consume(o.buffers[0].buffer):e.consume(o.content.data);const t=e.message;null!=t&&this.apply_json_patch(t.content,t.buffers)}function _(e,o){if(\"undefined\"!=typeof Jupyter&&null!=Jupyter.notebook.kernel){l.logger.info(\"Registering Jupyter comms for target \"+e);const t=Jupyter.notebook.kernel.comm_manager;try{t.register_target(e,t=>{l.logger.info(\"Registering Jupyter comms for target \"+e);const n=new i.Receiver;t.on_msg(p.bind(o,n))})}catch(e){l.logger.warn(`Jupyter comms failed to register. push_notebook() will not function. 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t=this.menu.children.length;this._open&&t>0&&(this.menu.children[this._hover_index].classList.remove(u.bk_active),this._hover_index=o.clamp(e,0,t-1),this.menu.children[this._hover_index].classList.add(u.bk_active))}_keydown(e){}_keyup(e){switch(e.keyCode){case h.Keys.Enter:this.change_input();break;case h.Keys.Esc:this._hide_menu();break;case h.Keys.Up:this._bump_hover(this._hover_index-1);break;case h.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.length<this.model.min_characters)return void this._hide_menu();const t=[],{case_sensitive:n}=this.model;let i;i=n?e=>e:e=>e.toLowerCase();for(const n of this.model.completions)i(n).startsWith(i(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class a extends s.TextInput{constructor(e){super(e)}static init_AutocompleteInput(){this.prototype.default_view=l,this.define({completions:[_.Array,[]],min_characters:[_.Int,2],case_sensitive:[_.Boolean,!0]})}}n.AutocompleteInput=a,a.__name__=\"AutocompleteInput\",a.init_AutocompleteInput()},\n      397: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),p=n.__importStar(e(18)),u=e(400);class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.value_input.change,()=>this.input_el.value=this.model.value_input),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder)}render(){super.render(),this.input_el=l.input({type:\"text\",class:u.bk_input,name:this.model.name,value:this.model.value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.input_el.addEventListener(\"input\",()=>this.change_input_oninput()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_oninput(){this.model.value_input=this.input_el.value,super.change_input()}}i.TextInputView=a,a.__name__=\"TextInputView\";class h extends s.InputWidget{constructor(e){super(e)}static init_TextInput(){this.prototype.default_view=a,this.define({value:[p.String,\"\"],value_input:[p.String,\"\"],placeholder:[p.String,\"\"]})}}i.TextInput=h,h.__name__=\"TextInput\",h.init_TextInput()},\n      398: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),l=t(393),s=t(68),_=n.__importStar(t(18)),o=n.__importDefault(t(399)),r=t(400);class p extends l.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,()=>{this.label_el.textContent=this.model.title})}styles(){return[...super.styles(),o.default]}render(){super.render();const{title:t}=this.model;this.label_el=s.label({style:{display:0==t.length?\"none\":\"\"}},t),this.group_el=s.div({class:r.bk_input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=p,p.__name__=\"InputWidgetView\";class u extends l.Control{constructor(t){super(t)}static init_InputWidget(){this.define({title:[_.String,\"\"]})}}i.InputWidget=u,u.__name__=\"InputWidget\",u.init_InputWidget()},\n      399: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-input {\\n  display: inline-block;\\n  width: 100%;\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  min-height: 31px;\\n  padding: 0 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n}\\n.bk-root .bk-input:focus {\\n  border-color: #66afe9;\\n  outline: 0;\\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);\\n}\\n.bk-root .bk-input::placeholder,\\n.bk-root .bk-input:-ms-input-placeholder,\\n.bk-root .bk-input::-moz-placeholder,\\n.bk-root .bk-input::-webkit-input-placeholder {\\n  color: #999;\\n  opacity: 1;\\n}\\n.bk-root .bk-input[disabled] {\\n  cursor: not-allowed;\\n  background-color: #eee;\\n  opacity: 1;\\n}\\n.bk-root select:not([multiple]).bk-input,\\n.bk-root select:not([size]).bk-input {\\n  height: auto;\\n  appearance: none;\\n  -webkit-appearance: none;\\n  background-image: url(\\'data:image/svg+xml;utf8,<svg version=\"1.1\" viewBox=\"0 0 25 20\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M 0,0 25,0 12.5,20 Z\" fill=\"black\" /></svg>\\');\\n  background-position: right 0.5em center;\\n  background-size: 8px 6px;\\n  background-repeat: no-repeat;\\n}\\n.bk-root select[multiple].bk-input,\\n.bk-root select[size].bk-input,\\n.bk-root textarea.bk-input {\\n  height: auto;\\n}\\n.bk-root .bk-input-group {\\n  width: 100%;\\n  height: 100%;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: start;\\n  -webkit-align-items: start;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  white-space: nowrap;\\n}\\n.bk-root .bk-input-group.bk-inline {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-input-group.bk-inline > *:not(:first-child) {\\n  margin-left: 5px;\\n}\\n.bk-root .bk-input-group input[type=\"checkbox\"] + span,\\n.bk-root .bk-input-group input[type=\"radio\"] + span {\\n  position: relative;\\n  top: -2px;\\n  margin-left: 3px;\\n}\\n'},\n      400: function _(u,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.bk_input=\"bk-input\",n.bk_input_group=\"bk-input-group\"},\n      401: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(392),o=t(291);class s extends n.AbstractButtonView{click(){this.model.clicks=this.model.clicks+1,this.model.trigger_event(new o.ButtonClick),super.click()}}i.ButtonView=s,s.__name__=\"ButtonView\";class c extends n.AbstractButton{constructor(t){super(t)}static init_Button(){this.prototype.default_view=s,this.override({label:\"Button\"})}}i.Button=c,c.__name__=\"Button\",c.init_Button()},\n      402: function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),c=t(403),s=t(68),n=i.__importStar(t(18)),a=t(146);class u extends c.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach((e,o)=>{s.classes(e).toggle(a.bk_active,t.has(o))})}}o.CheckboxButtonGroupView=u,u.__name__=\"CheckboxButtonGroupView\";class r extends c.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=u,this.define({active:[n.Array,[]]})}}o.CheckboxButtonGroup=r,r.__name__=\"CheckboxButtonGroup\",r.init_CheckboxButtonGroup()},\n      403: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),o=t(393),i=t(68),r=n.__importStar(t(18)),_=t(254),u=n.__importDefault(t(256));class a extends o.ControlView{*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,()=>this.render()),this.on_change(t.labels,()=>this.render()),this.on_change(t.active,()=>this._update_active())}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map((t,e)=>{const s=i.div({class:[_.bk_btn,_.bk_btn_type(this.model.button_type)],disabled:this.model.disabled},t);return s.addEventListener(\"click\",()=>this.change_active(e)),s}),this._update_active();const t=i.div({class:_.bk_btn_group},this._buttons);this.el.appendChild(t)}}s.ButtonGroupView=a,a.__name__=\"ButtonGroupView\";class l extends o.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define({labels:[r.Array,[]],button_type:[r.ButtonType,\"default\"]})}}s.ButtonGroup=l,l.__name__=\"ButtonGroup\",l.init_ButtonGroup()},\n      404: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(405),o=e(68),c=e(9),a=n.__importStar(e(18)),l=e(146),d=e(400);class r extends s.InputGroupView{render(){super.render();const e=o.div({class:[d.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const{active:t,labels:i}=this.model;this._inputs=[];for(let n=0;n<i.length;n++){const s=o.input({type:\"checkbox\",value:\"\"+n});s.addEventListener(\"change\",()=>this.change_active(n)),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),c.includes(t,n)&&(s.checked=!0);const a=o.label({},s,o.span({},i[n]));e.appendChild(a)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}i.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class p extends s.InputGroup{constructor(e){super(e)}static init_CheckboxGroup(){this.prototype.default_view=r,this.define({active:[a.Array,[]],labels:[a.Array,[]],inline:[a.Boolean,!1]})}}i.CheckboxGroup=p,p.__name__=\"CheckboxGroup\",p.init_CheckboxGroup()},\n      405: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),o=e(393),r=s.__importDefault(e(399));class u extends o.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}styles(){return[...super.styles(),r.default]}}n.InputGroupView=u,u.__name__=\"InputGroupView\";class _ extends o.Control{constructor(e){super(e)}}n.InputGroup=_,_.__name__=\"InputGroup\"},\n      406: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),o=e(398),s=e(68),l=n.__importStar(e(18)),r=e(400);class c extends o.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.color.change,()=>this.input_el.value=this.model.color),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled)}render(){super.render(),this.input_el=s.input({type:\"color\",class:r.bk_input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}t.ColorPickerView=c,c.__name__=\"ColorPickerView\";class d extends o.InputWidget{constructor(e){super(e)}static init_ColorPicker(){this.prototype.default_view=c,this.define({color:[l.Color,\"#000000\"]})}}t.ColorPicker=d,d.__name__=\"ColorPicker\",d.init_ColorPicker()},\n      407: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=n.__importDefault(e(408)),a=e(398),l=e(68),o=n.__importStar(e(18)),r=e(8),d=e(400),c=n.__importDefault(e(409));function u(e){const t=[];for(const i of e)if(r.isString(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class _ extends a.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,()=>{var t;return null===(t=this._picker)||void 0===t?void 0:t.setDate(e.value())}),this.connect(t.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",t.value())}),this.connect(i.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",i.value())}),this.connect(n.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",n.value())}),this.connect(s.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",s.value())}),this.connect(a.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",a.value())}),this.connect(l.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",l.value())})}remove(){var e;null===(e=this._picker)||void 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h.l10n.amPM[0].charAt(0):case h.l10n.amPM[0].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[0],E(),ve();break;case h.l10n.amPM[1].charAt(0):case h.l10n.amPM[1].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[1],E(),ve()}(t||z(e.target))&&fe(\"onKeyDown\",e)}function ee(e){if(1===h.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var t=e?e.dateObj.getTime():h.days.firstElementChild.dateObj.getTime(),n=h.parseDate(h.selectedDates[0],void 0,!0).getTime(),a=Math.min(t,h.selectedDates[0].getTime()),i=Math.max(t,h.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;c<i;c+=b)Z(new Date(c),!0)||(o=o||c>a&&c<i,c<n&&(!r||c>r)?r=c:c>n&&(!l||c<l)&&(l=c));for(var d=0;d<h.config.showMonths;d++)for(var s=h.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(t<=h.selectedDates[0].getTime()?\"startRange\":\"endRange\"),n<t&&m===n?f.classList.add(\"startRange\"):n>t&&m===n&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=n,u=t,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function te(){!h.isOpen||h.config.static||h.config.inline||oe()}function ne(){h.setDate(void 0!==h.config.minDate?new Date(h.config.minDate.getTime()):new Date,!0),k(),ve()}function ae(e){return function(t){var n=h.config[\"_\"+e+\"Date\"]=h.parseDate(t,h.config.dateFormat),a=h.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==n&&(h[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=n.getHours()>0||n.getMinutes()>0||n.getSeconds()>0),h.selectedDates&&(h.selectedDates=h.selectedDates.filter((function(e){return Z(e)})),h.selectedDates.length||\"min\"!==e||T(n),ve()),h.daysContainer&&(re(),void 0!==n?h.currentYearElement[e]=n.getFullYear().toString():h.currentYearElement.removeAttribute(e),h.currentYearElement.disabled=!!a&&void 0!==n&&a.getFullYear()===n.getFullYear())}}function ie(){\"object\"!=typeof h.config.locale&&void 0===y.l10ns[h.config.locale]&&h.config.errorHandler(new Error(\"flatpickr: invalid locale \"+h.config.locale)),h.l10n=e({},y.l10ns.default,\"object\"==typeof h.config.locale?h.config.locale:\"default\"!==h.config.locale?y.l10ns[h.config.locale]:void 0),p.K=\"(\"+h.l10n.amPM[0]+\"|\"+h.l10n.amPM[1]+\"|\"+h.l10n.amPM[0].toLowerCase()+\"|\"+h.l10n.amPM[1].toLowerCase()+\")\",void 0===e({},g,JSON.parse(JSON.stringify(f.dataset||{}))).time_24hr&&void 0===y.defaultConfig.time_24hr&&(h.config.time_24hr=h.l10n.time_24hr),h.formatDate=v(h),h.parseDate=D({config:h.config,l10n:h.l10n})}function oe(e){if(void 0!==h.calendarContainer){fe(\"onPreCalendarPosition\");var t=e||h._positionElement,n=Array.prototype.reduce.call(h.calendarContainer.children,(function(e,t){return e+t.offsetHeight}),0),a=h.calendarContainer.offsetWidth,i=h.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=t.getBoundingClientRect(),d=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&d<n&&l.top>n,u=window.pageYOffset+l.top+(s?-n-2:t.offsetHeight+2);if(c(h.calendarContainer,\"arrowTop\",!s),c(h.calendarContainer,\"arrowBottom\",s),!h.config.inline){var f=window.pageXOffset+l.left-(null!=r&&\"center\"===r?(a-l.width)/2:0),m=window.document.body.offsetWidth-(window.pageXOffset+l.right),g=f+a>window.document.body.offsetWidth,p=m+a>window.document.body.offsetWidth;if(c(h.calendarContainer,\"rightMost\",g),!h.config.static)if(h.calendarContainer.style.top=u+\"px\",g)if(p){var v=document.styleSheets[0];if(void 0===v)return;var D=window.document.body.offsetWidth,w=Math.max(0,D/2-a/2),b=v.cssRules.length,C=\"{left:\"+l.left+\"px;right:auto;}\";c(h.calendarContainer,\"rightMost\",!1),c(h.calendarContainer,\"centerMost\",!0),v.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+C,b),h.calendarContainer.style.left=w+\"px\",h.calendarContainer.style.right=\"auto\"}else h.calendarContainer.style.left=\"auto\",h.calendarContainer.style.right=m+\"px\";else h.calendarContainer.style.left=f+\"px\",h.calendarContainer.style.right=\"auto\"}}}function re(){h.config.noCalendar||h.isMobile||(pe(),R())}function le(){h._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(h.close,0):h.close()}function ce(e){e.preventDefault(),e.stopPropagation();var t=function e(t,n){return n(t)?t:t.parentNode?e(t.parentNode,n):void 0}(e.target,(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==t){var n=t,a=h.latestSelectedDateObj=new Date(n.dateObj.getTime()),i=(a.getMonth()<h.currentMonth||a.getMonth()>h.currentMonth+h.config.showMonths-1)&&\"range\"!==h.config.mode;if(h.selectedDateElem=n,\"single\"===h.config.mode)h.selectedDates=[a];else if(\"multiple\"===h.config.mode){var o=ge(a);o?h.selectedDates.splice(parseInt(o),1):h.selectedDates.push(a)}else\"range\"===h.config.mode&&(2===h.selectedDates.length&&h.clear(!1,!1),h.latestSelectedDateObj=a,h.selectedDates.push(a),0!==w(a,h.selectedDates[0],!0)&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()})));if(E(),i){var r=h.currentYear!==a.getFullYear();h.currentYear=a.getFullYear(),h.currentMonth=a.getMonth(),r&&(fe(\"onYearChange\"),B()),fe(\"onMonthChange\")}if(pe(),R(),ve(),h.config.enableTime&&setTimeout((function(){return h.showTimeInput=!0}),50),i||\"range\"===h.config.mode||1!==h.config.showMonths?void 0!==h.selectedDateElem&&void 0===h.hourElement&&h.selectedDateElem&&h.selectedDateElem.focus():j(n),void 0!==h.hourElement&&void 0!==h.hourElement&&h.hourElement.focus(),h.config.closeOnSelect){var l=\"single\"===h.config.mode&&!h.config.enableTime,c=\"range\"===h.config.mode&&2===h.selectedDates.length&&!h.config.enableTime;(l||c)&&le()}F()}}h.parseDate=D({config:h.config,l10n:h.l10n}),h._handlers=[],h.pluginElements=[],h.loadedPlugins=[],h._bind=O,h._setHoursFromDate=T,h._positionCalendar=oe,h.changeMonth=$,h.changeYear=V,h.clear=function(e,t){void 0===e&&(e=!0),void 0===t&&(t=!0),h.input.value=\"\",void 0!==h.altInput&&(h.altInput.value=\"\"),void 0!==h.mobileInput&&(h.mobileInput.value=\"\"),h.selectedDates=[],h.latestSelectedDateObj=void 0,!0===t&&(h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth()),h.showTimeInput=!1,!0===h.config.enableTime&&k(),h.redraw(),e&&fe(\"onChange\")},h.close=function(){h.isOpen=!1,h.isMobile||(void 0!==h.calendarContainer&&h.calendarContainer.classList.remove(\"open\"),void 0!==h._input&&h._input.classList.remove(\"active\")),fe(\"onClose\")},h._createElement=d,h.destroy=function(){void 0!==h.config&&fe(\"onDestroy\");for(var e=h._handlers.length;e--;){var t=h._handlers[e];t.element.removeEventListener(t.event,t.handler,t.options)}if(h._handlers=[],h.mobileInput)h.mobileInput.parentNode&&h.mobileInput.parentNode.removeChild(h.mobileInput),h.mobileInput=void 0;else if(h.calendarContainer&&h.calendarContainer.parentNode)if(h.config.static&&h.calendarContainer.parentNode){var n=h.calendarContainer.parentNode;if(n.lastChild&&n.removeChild(n.lastChild),n.parentNode){for(;n.firstChild;)n.parentNode.insertBefore(n.firstChild,n);n.parentNode.removeChild(n)}}else h.calendarContainer.parentNode.removeChild(h.calendarContainer);h.altInput&&(h.input.type=\"text\",h.altInput.parentNode&&h.altInput.parentNode.removeChild(h.altInput),delete 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0!==h.mobileInput&&(h.mobileInput.focus(),h.mobileInput.click()),void fe(\"onOpen\");if(!h._input.disabled&&!h.config.inline){var n=h.isOpen;h.isOpen=!0,n||(h.calendarContainer.classList.add(\"open\"),h._input.classList.add(\"active\"),fe(\"onOpen\"),oe(t)),!0===h.config.enableTime&&!0===h.config.noCalendar&&(0===h.selectedDates.length&&ne(),!1!==h.config.allowInput||void 0!==e&&h.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return h.hourElement.select()}),50))}},h.redraw=re,h.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(h.config,e),e)void 0!==de[a]&&de[a].forEach((function(e){return e()}));else h.config[e]=n,void 0!==de[e]?de[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(h.config[e]=l(n));h.redraw(),ve(!1)},h.setDate=function(e,t,n){if(void 0===t&&(t=!1),void 0===n&&(n=h.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return h.clear(t);se(e,n),h.showTimeInput=h.selectedDates.length>0,h.latestSelectedDateObj=h.selectedDates[h.selectedDates.length-1],h.redraw(),N(),T(),0===h.selectedDates.length&&h.clear(!1),ve(t),t&&fe(\"onChange\")},h.toggle=function(e){if(!0===h.isOpen)return h.close();h.open(e)};var de={locale:[ie,q],showMonths:[K,M,U],minDate:[N],maxDate:[N]};function se(e,t){var n=[];if(e instanceof Array)n=e.map((function(e){return h.parseDate(e,t)}));else if(e instanceof Date||\"number\"==typeof e)n=[h.parseDate(e,t)];else if(\"string\"==typeof e)switch(h.config.mode){case\"single\":case\"time\":n=[h.parseDate(e,t)];break;case\"multiple\":n=e.split(h.config.conjunction).map((function(e){return h.parseDate(e,t)}));break;case\"range\":n=e.split(h.l10n.rangeSeparator).map((function(e){return h.parseDate(e,t)}))}else h.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));h.selectedDates=n.filter((function(e){return e instanceof Date&&Z(e,!1)})),\"range\"===h.config.mode&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()}))}function ue(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?h.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:h.parseDate(e.from,void 0),to:h.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function fe(e,t){if(void 0!==h.config){var n=h.config[e];if(void 0!==n&&n.length>0)for(var a=0;n[a]&&a<n.length;a++)n[a](h.selectedDates,h.input.value,h,t);\"onChange\"===e&&(h.input.dispatchEvent(me(\"change\")),h.input.dispatchEvent(me(\"input\")))}}function me(e){var t=document.createEvent(\"Event\");return t.initEvent(e,!0,!0),t}function ge(e){for(var t=0;t<h.selectedDates.length;t++)if(0===w(h.selectedDates[t],e))return\"\"+t;return!1}function pe(){h.config.noCalendar||h.isMobile||!h.monthNav||(h.yearElements.forEach((function(e,t){var n=new Date(h.currentYear,h.currentMonth,1);n.setMonth(h.currentMonth+t),h.config.showMonths>1||\"static\"===h.config.monthSelectorType?h.monthElements[t].textContent=m(n.getMonth(),h.config.shorthandCurrentMonth,h.l10n)+\" \":h.monthsDropdownContainer.value=n.getMonth().toString(),e.value=n.getFullYear().toString()})),h._hidePrevMonthArrow=void 0!==h.config.minDate&&(h.currentYear===h.config.minDate.getFullYear()?h.currentMonth<=h.config.minDate.getMonth():h.currentYear<h.config.minDate.getFullYear()),h._hideNextMonthArrow=void 0!==h.config.maxDate&&(h.currentYear===h.config.maxDate.getFullYear()?h.currentMonth+1>h.config.maxDate.getMonth():h.currentYear>h.config.maxDate.getFullYear()))}function he(e){return h.selectedDates.map((function(t){return h.formatDate(t,e)})).filter((function(e,t,n){return\"range\"!==h.config.mode||h.config.enableTime||n.indexOf(e)===t})).join(\"range\"!==h.config.mode?h.config.conjunction:h.l10n.rangeSeparator)}function ve(e){void 0===e&&(e=!0),void 0!==h.mobileInput&&h.mobileFormatStr&&(h.mobileInput.value=void 0!==h.latestSelectedDateObj?h.formatDate(h.latestSelectedDateObj,h.mobileFormatStr):\"\"),h.input.value=he(h.config.dateFormat),void 0!==h.altInput&&(h.altInput.value=he(h.config.altFormat)),!1!==e&&fe(\"onValueUpdate\")}function De(e){var t=h.prevMonthNav.contains(e.target),n=h.nextMonthNav.contains(e.target);t||n?$(t?-1:1):h.yearElements.indexOf(e.target)>=0?e.target.select():e.target.classList.contains(\"arrowUp\")?h.changeYear(h.currentYear+1):e.target.classList.contains(\"arrowDown\")&&h.changeYear(h.currentYear-1)}return function(){h.element=h.input=f,h.isOpen=!1,function(){var a=[\"wrap\",\"weekNumbers\",\"allowInput\",\"clickOpens\",\"time_24hr\",\"enableTime\",\"noCalendar\",\"altInput\",\"shorthandCurrentMonth\",\"inline\",\"static\",\"enableSeconds\",\"disableMobile\"],i=e({},g,JSON.parse(JSON.stringify(f.dataset||{}))),o={};h.config.parseDate=i.parseDate,h.config.formatDate=i.formatDate,Object.defineProperty(h.config,\"enable\",{get:function(){return h.config._enable},set:function(e){h.config._enable=ue(e)}}),Object.defineProperty(h.config,\"disable\",{get:function(){return h.config._disable},set:function(e){h.config._disable=ue(e)}});var r=\"time\"===i.mode;if(!i.dateFormat&&(i.enableTime||r)){var c=y.defaultConfig.dateFormat||n.dateFormat;o.dateFormat=i.noCalendar||r?\"H:i\"+(i.enableSeconds?\":S\":\"\"):c+\" H:i\"+(i.enableSeconds?\":S\":\"\")}if(i.altInput&&(i.enableTime||r)&&!i.altFormat){var d=y.defaultConfig.altFormat||n.altFormat;o.altFormat=i.noCalendar||r?\"h:i\"+(i.enableSeconds?\":S K\":\" K\"):d+\" h:i\"+(i.enableSeconds?\":S\":\"\")+\" K\"}i.altInputClass||(h.config.altInputClass=h.input.className+\" \"+h.config.altInputClass),Object.defineProperty(h.config,\"minDate\",{get:function(){return h.config._minDate},set:ae(\"min\")}),Object.defineProperty(h.config,\"maxDate\",{get:function(){return h.config._maxDate},set:ae(\"max\")});var s=function(e){return function(t){h.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=h.parseDate(t,\"H:i:S\")}};Object.defineProperty(h.config,\"minTime\",{get:function(){return h.config._minTime},set:s(\"min\")}),Object.defineProperty(h.config,\"maxTime\",{get:function(){return h.config._maxTime},set:s(\"max\")}),\"time\"===i.mode&&(h.config.noCalendar=!0,h.config.enableTime=!0),Object.assign(h.config,o,i);for(var u=0;u<a.length;u++)h.config[a[u]]=!0===h.config[a[u]]||\"true\"===h.config[a[u]];for(t.filter((function(e){return void 0!==h.config[e]})).forEach((function(e){h.config[e]=l(h.config[e]||[]).map(C)})),h.isMobile=!h.config.disableMobile&&!h.config.inline&&\"single\"===h.config.mode&&!h.config.disable.length&&!h.config.enable.length&&!h.config.weekNumbers&&/Android|webOS|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini/i.test(navigator.userAgent),u=0;u<h.config.plugins.length;u++){var m=h.config.plugins[u](h)||{};for(var p in m)t.indexOf(p)>-1?h.config[p]=l(m[p]).map(C).concat(h.config[p]):void 0===i[p]&&(h.config[p]=m[p])}fe(\"onParseConfig\")}(),ie(),h.input=h.config.wrap?f.querySelector(\"[data-input]\"):f,h.input?(h.input._type=h.input.type,h.input.type=\"text\",h.input.classList.add(\"flatpickr-input\"),h._input=h.input,h.config.altInput&&(h.altInput=d(h.input.nodeName,h.config.altInputClass),h._input=h.altInput,h.altInput.placeholder=h.input.placeholder,h.altInput.disabled=h.input.disabled,h.altInput.required=h.input.required,h.altInput.tabIndex=h.input.tabIndex,h.altInput.type=\"text\",h.input.setAttribute(\"type\",\"hidden\"),!h.config.static&&h.input.parentNode&&h.input.parentNode.insertBefore(h.altInput,h.input.nextSibling)),h.config.allowInput||h._input.setAttribute(\"readonly\",\"readonly\"),h._positionElement=h.config.positionElement||h._input):h.config.errorHandler(new Error(\"Invalid input element specified\")),function(){h.selectedDates=[],h.now=h.parseDate(h.config.now)||new Date;var e=h.config.defaultDate||(\"INPUT\"!==h.input.nodeName&&\"TEXTAREA\"!==h.input.nodeName||!h.input.placeholder||h.input.value!==h.input.placeholder?h.input.value:null);e&&se(e,h.config.dateFormat),h._initialDate=h.selectedDates.length>0?h.selectedDates[0]:h.config.minDate&&h.config.minDate.getTime()>h.now.getTime()?h.config.minDate:h.config.maxDate&&h.config.maxDate.getTime()<h.now.getTime()?h.config.maxDate:h.now,h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth(),h.selectedDates.length>0&&(h.latestSelectedDateObj=h.selectedDates[0]),void 0!==h.config.minTime&&(h.config.minTime=h.parseDate(h.config.minTime,\"H:i\")),void 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e=window.document.createDocumentFragment();if(h.calendarContainer=d(\"div\",\"flatpickr-calendar\"),h.calendarContainer.tabIndex=-1,!h.config.noCalendar){if(e.appendChild((h.monthNav=d(\"div\",\"flatpickr-months\"),h.yearElements=[],h.monthElements=[],h.prevMonthNav=d(\"span\",\"flatpickr-prev-month\"),h.prevMonthNav.innerHTML=h.config.prevArrow,h.nextMonthNav=d(\"span\",\"flatpickr-next-month\"),h.nextMonthNav.innerHTML=h.config.nextArrow,K(),Object.defineProperty(h,\"_hidePrevMonthArrow\",{get:function(){return h.__hidePrevMonthArrow},set:function(e){h.__hidePrevMonthArrow!==e&&(c(h.prevMonthNav,\"flatpickr-disabled\",e),h.__hidePrevMonthArrow=e)}}),Object.defineProperty(h,\"_hideNextMonthArrow\",{get:function(){return 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width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(0, 0, 0, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: transparent;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: transparent;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: transparent;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: transparent;\\n  color: rgba(0, 0, 0, 0.54);\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #e6e6e6;\\n  box-shadow: -1px 0 0 #e6e6e6;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #393939;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e6e6e6;\\n  border-color: #e6e6e6;\\n}\\n.flatpickr-day.today {\\n  border-color: #959ea9;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #959ea9;\\n  background: #959ea9;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #569ff7;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #569ff7;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #569ff7;\\n  box-shadow: -10px 0 0 #569ff7;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(57, 57, 57, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n  box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  -webkit-box-shadow: 1px 0 0 #e6e6e6;\\n  box-shadow: 1px 0 0 #e6e6e6;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #393939;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #393939;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #393939;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #393939;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eee;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n.flatpickr-calendar {\\n  background: transparent;\\n  opacity: 0;\\n  display: none;\\n  text-align: center;\\n  visibility: hidden;\\n  padding: 0;\\n  -webkit-animation: none;\\n  animation: none;\\n  direction: ltr;\\n  border: 0;\\n  font-size: 14px;\\n  line-height: 24px;\\n  border-radius: 5px;\\n  position: absolute;\\n  width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -ms-touch-action: manipulation;\\n  touch-action: manipulation;\\n  -webkit-box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n  box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n}\\n.flatpickr-calendar.open,\\n.flatpickr-calendar.inline {\\n  opacity: 1;\\n  max-height: 640px;\\n  visibility: visible;\\n}\\n.flatpickr-calendar.open {\\n  display: inline-block;\\n  z-index: 99999;\\n}\\n.flatpickr-calendar.animate.open {\\n  -webkit-animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n  animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n}\\n.flatpickr-calendar.inline {\\n  display: block;\\n  position: relative;\\n  top: 2px;\\n}\\n.flatpickr-calendar.static {\\n  position: absolute;\\n  top: calc(100% + 2px);\\n}\\n.flatpickr-calendar.static.open {\\n  z-index: 999;\\n  display: block;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+1) .flatpickr-day.inRange:nth-child(7n+7) {\\n  -webkit-box-shadow: none !important;\\n  box-shadow: none !important;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+2) .flatpickr-day.inRange:nth-child(7n+1) {\\n  -webkit-box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer,\\n.flatpickr-calendar .hasTime .dayContainer {\\n  border-bottom: 0;\\n  border-bottom-right-radius: 0;\\n  border-bottom-left-radius: 0;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer {\\n  border-left: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  height: 40px;\\n  border-top: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-innerContainer {\\n  border-bottom: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  border: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.noCalendar.hasTime .flatpickr-time {\\n  height: auto;\\n}\\n.flatpickr-calendar:before,\\n.flatpickr-calendar:after {\\n  position: absolute;\\n  display: block;\\n  pointer-events: none;\\n  border: solid transparent;\\n  content: \\'\\';\\n  height: 0;\\n  width: 0;\\n  left: 22px;\\n}\\n.flatpickr-calendar.rightMost:before,\\n.flatpickr-calendar.rightMost:after {\\n  left: auto;\\n  right: 22px;\\n}\\n.flatpickr-calendar:before {\\n  border-width: 5px;\\n  margin: 0 -5px;\\n}\\n.flatpickr-calendar:after {\\n  border-width: 4px;\\n  margin: 0 -4px;\\n}\\n.flatpickr-calendar.arrowTop:before,\\n.flatpickr-calendar.arrowTop:after {\\n  bottom: 100%;\\n}\\n.flatpickr-calendar.arrowTop:before {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowTop:after {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:before,\\n.flatpickr-calendar.arrowBottom:after {\\n  top: 100%;\\n}\\n.flatpickr-calendar.arrowBottom:before {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:after {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar:focus {\\n  outline: 0;\\n}\\n.flatpickr-wrapper {\\n  position: relative;\\n  display: inline-block;\\n}\\n.flatpickr-months {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-months .flatpickr-month {\\n  border-radius: 5px 5px 0 0;\\n  background: #eceef1;\\n  color: #5a6171;\\n  fill: #5a6171;\\n  height: 34px;\\n  line-height: 1;\\n  text-align: center;\\n  position: relative;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  overflow: hidden;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\n.flatpickr-months .flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month {\\n  text-decoration: none;\\n  cursor: pointer;\\n  position: absolute;\\n  top: 0;\\n  height: 34px;\\n  padding: 10px;\\n  z-index: 3;\\n  color: #5a6171;\\n  fill: #5a6171;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-disabled,\\n.flatpickr-months .flatpickr-next-month.flatpickr-disabled {\\n  display: none;\\n}\\n.flatpickr-months .flatpickr-prev-month i,\\n.flatpickr-months .flatpickr-next-month i {\\n  position: relative;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-prev-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  left: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month.flatpickr-next-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-next-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  right: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month:hover,\\n.flatpickr-months .flatpickr-next-month:hover {\\n  color: #bbb;\\n}\\n.flatpickr-months .flatpickr-prev-month:hover svg,\\n.flatpickr-months .flatpickr-next-month:hover svg {\\n  fill: #f64747;\\n}\\n.flatpickr-months .flatpickr-prev-month svg,\\n.flatpickr-months .flatpickr-next-month svg {\\n  width: 14px;\\n  height: 14px;\\n}\\n.flatpickr-months .flatpickr-prev-month svg path,\\n.flatpickr-months .flatpickr-next-month svg path {\\n  -webkit-transition: fill 0.1s;\\n  transition: fill 0.1s;\\n  fill: inherit;\\n}\\n.numInputWrapper {\\n  position: relative;\\n  height: auto;\\n}\\n.numInputWrapper input,\\n.numInputWrapper span {\\n  display: inline-block;\\n}\\n.numInputWrapper input {\\n  width: 100%;\\n}\\n.numInputWrapper input::-ms-clear {\\n  display: none;\\n}\\n.numInputWrapper input::-webkit-outer-spin-button,\\n.numInputWrapper input::-webkit-inner-spin-button {\\n  margin: 0;\\n  -webkit-appearance: none;\\n}\\n.numInputWrapper span {\\n  position: absolute;\\n  right: 0;\\n  width: 14px;\\n  padding: 0 4px 0 2px;\\n  height: 50%;\\n  line-height: 50%;\\n  opacity: 0;\\n  cursor: pointer;\\n  border: 1px solid rgba(72, 72, 72, 0.15);\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.numInputWrapper span:hover {\\n  background: rgba(0, 0, 0, 0.1);\\n}\\n.numInputWrapper span:active {\\n  background: rgba(0, 0, 0, 0.2);\\n}\\n.numInputWrapper span:after {\\n  display: block;\\n  content: \"\";\\n  position: absolute;\\n}\\n.numInputWrapper span.arrowUp {\\n  top: 0;\\n  border-bottom: 0;\\n}\\n.numInputWrapper span.arrowUp:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-bottom: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 26%;\\n}\\n.numInputWrapper span.arrowDown {\\n  top: 50%;\\n}\\n.numInputWrapper span.arrowDown:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-top: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 40%;\\n}\\n.numInputWrapper span svg {\\n  width: inherit;\\n  height: auto;\\n}\\n.numInputWrapper span svg path {\\n  fill: rgba(90, 97, 113, 0.5);\\n}\\n.numInputWrapper:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.numInputWrapper:hover span {\\n  opacity: 1;\\n}\\n.flatpickr-current-month {\\n  font-size: 135%;\\n  line-height: inherit;\\n  font-weight: 300;\\n  color: inherit;\\n  position: absolute;\\n  width: 75%;\\n  left: 12.5%;\\n  padding: 7.48px 0 0 0;\\n  line-height: 1;\\n  height: 34px;\\n  display: inline-block;\\n  text-align: center;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n}\\n.flatpickr-current-month span.cur-month {\\n  font-family: inherit;\\n  font-weight: 700;\\n  color: inherit;\\n  display: inline-block;\\n  margin-left: 0.5ch;\\n  padding: 0;\\n}\\n.flatpickr-current-month span.cur-month:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .numInputWrapper {\\n  width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #5a6171;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: #5a6171;\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(90, 97, 113, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: #eceef1;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: #eceef1;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: #eceef1;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: #eceef1;\\n  color: #5a6171;\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n  border-left: 1px solid #eceef1;\\n  border-right: 1px solid #eceef1;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #eceef1;\\n  box-shadow: -1px 0 0 #eceef1;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #484848;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e2e2e2;\\n  border-color: #e2e2e2;\\n}\\n.flatpickr-day.today {\\n  border-color: #bbb;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #bbb;\\n  background: #bbb;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #ff5a5f;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #ff5a5f;\\n  box-shadow: -10px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n  box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(72, 72, 72, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n  box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  border-left: 1px solid #eceef1;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  background: #fff;\\n  border-bottom: 1px solid #eceef1;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  background: #fff;\\n  border-radius: 0 0 5px 5px;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #484848;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #484848;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #484848;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #484848;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eaeaea;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\nspan.flatpickr-day.selected {\\n  font-weight: bold;\\n}\\n'},\n      410: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(1).__importDefault(e(159)),r=e(411);class n extends r.AbstractRangeSliderView{}a.DateRangeSliderView=n,n.__name__=\"DateRangeSliderView\";class d extends r.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_DateRangeSlider(){this.prototype.default_view=n,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return i.default(e,t)}}a.DateRangeSlider=d,d.__name__=\"DateRangeSlider\",d.init_DateRangeSlider()},\n      411: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=i.__importStar(e(412)),r=i.__importStar(e(18)),o=e(68),n=e(9),a=e(393),d=e(413),h=e(400),_=i.__importDefault(e(414)),c=i.__importDefault(e(415));class u extends a.ControlView{*controls(){yield this.slider_el}get noUiSlider(){return this.slider_el.noUiSlider}connect_signals(){super.connect_signals();const{direction:e,orientation:t,tooltips:s}=this.model.properties;this.on_change([e,t,s],()=>this.render());const{start:i,end:l,value:r,step:o,title:n}=this.model.properties;this.on_change([i,l,r,o],()=>{const{start:e,end:t,value:s,step:i}=this._calc_to();this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i})});const{bar_color:a}=this.model.properties;this.on_change(a,()=>{this._set_bar_color()});const{show_value:d}=this.model.properties;this.on_change([r,n,d],()=>this._update_title())}styles(){return[...super.styles(),_.default,c.default]}_update_title(){o.empty(this.title_el);const e=null==this.model.title||0==this.model.title.length&&!this.model.show_value;if(this.title_el.style.display=e?\"none\":\"\",!e&&(0!=this.model.title.length&&(this.title_el.textContent=this.model.title+\": \"),this.model.show_value)){const{value:e}=this._calc_to(),t=e.map(e=>this.model.pretty(e)).join(\" .. \");this.title_el.appendChild(o.span({class:d.bk_slider_value},t))}}_set_bar_color(){if(!this.model.disabled){this.slider_el.querySelector(\".noUi-connect\").style.backgroundColor=this.model.bar_color}}_keypress_handle(e,t=0){const{start:s,value:i,end:l,step:r}=this._calc_to(),o=2==i.length;let n=s,a=l;switch(o&&0==t?a=i[1]:o&&1==t&&(n=i[0]),e.which){case 37:i[t]=Math.max(i[t]-r,n);break;case 39:i[t]=Math.min(i[t]+r,a);break;default:return}this.model.value=o?i:i[0],this.model.properties.value.change.emit(),this.model.value_throttled=this.model.value,this.noUiSlider.set(i)}render(){super.render();const{start:e,end:t,value:s,step:i}=this._calc_to();let r;if(this.model.tooltips){const e={to:e=>this.model.pretty(e)};r=n.repeat(e,s.length)}else r=!1;if(null==this.slider_el){this.slider_el=o.div(),l.create(this.slider_el,{range:{min:e,max:t},start:s,step:i,behaviour:this.model.behaviour,connect:this.model.connected,tooltips:r,orientation:this.model.orientation,direction:this.model.direction}),this.noUiSlider.on(\"slide\",(e,t,s)=>this._slide(s)),this.noUiSlider.on(\"change\",(e,t,s)=>this._change(s)),this._set_keypress_handles();const n=(e,t)=>{if(!r)return;this.slider_el.querySelectorAll(\".noUi-handle\")[e].querySelector(\".noUi-tooltip\").style.display=t?\"block\":\"\"};this.noUiSlider.on(\"start\",(e,t)=>n(t,!0)),this.noUiSlider.on(\"end\",(e,t)=>n(t,!1))}else this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i});this._set_bar_color(),this.model.disabled?this.slider_el.setAttribute(\"disabled\",\"true\"):this.slider_el.removeAttribute(\"disabled\"),this.title_el=o.div({class:d.bk_slider_title}),this._update_title(),this.group_el=o.div({class:h.bk_input_group},this.title_el,this.slider_el),this.el.appendChild(this.group_el)}_slide(e){this.model.value=this._calc_from(e)}_change(e){this.model.value=this._calc_from(e),this.model.value_throttled=this.model.value}}u.__name__=\"AbstractBaseSliderView\";class m extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:[this.model.value],step:this.model.step}}_calc_from([e]){return Number.isInteger(this.model.start)&&Number.isInteger(this.model.end)&&Number.isInteger(this.model.step)?Math.round(e):e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e))}}s.AbstractSliderView=m,m.__name__=\"AbstractSliderView\";class p extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:this.model.value,step:this.model.step}}_calc_from(e){return e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle-lower\"),t=this.slider_el.querySelector(\".noUi-handle-upper\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e,0)),t.setAttribute(\"tabindex\",\"1\"),t.addEventListener(\"keydown\",e=>this._keypress_handle(e,1))}}s.AbstractRangeSliderView=p,p.__name__=\"AbstractRangeSliderView\";class b extends a.Control{constructor(e){super(e),this.connected=!1}static init_AbstractSlider(){this.define({title:[r.String,\"\"],show_value:[r.Boolean,!0],start:[r.Any],end:[r.Any],value:[r.Any],value_throttled:[r.Any],step:[r.Number,1],format:[r.Any],direction:[r.Any,\"ltr\"],tooltips:[r.Boolean,!0],bar_color:[r.Color,\"#e6e6e6\"]})}_formatter(e,t){return\"\"+e}pretty(e){return this._formatter(e,this.format)}}s.AbstractSlider=b,b.__name__=\"AbstractSlider\",b.init_AbstractSlider()},\n      412: function _(t,e,r){\n      /*! nouislider - 14.5.0 - 5/11/2020 */\n      var n;n=function(){\"use strict\";var t=\"14.5.0\";function e(t){t.parentElement.removeChild(t)}function r(t){return null!=t}function n(t){t.preventDefault()}function i(t){return\"number\"==typeof t&&!isNaN(t)&&isFinite(t)}function o(t,e,r){r>0&&(u(t,e),setTimeout((function(){c(t,e)}),r))}function s(t){return Math.max(Math.min(t,100),0)}function a(t){return Array.isArray(t)?t:[t]}function l(t){var e=(t=String(t)).split(\".\");return e.length>1?e[1].length:0}function 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.noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(50%, 0);\\n  transform: translate(50%, 0);\\n  left: auto;\\n  bottom: 10px;\\n}\\n.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(0, -18px);\\n  transform: translate(0, -18px);\\n  top: auto;\\n  right: 28px;\\n}\\n.bk-root .noUi-handle {\\n  cursor: grab;\\n  cursor: -webkit-grab;\\n}\\n.bk-root .noUi-handle.noUi-active {\\n  cursor: grabbing;\\n  cursor: -webkit-grabbing;\\n}\\n.bk-root .noUi-handle:after,\\n.bk-root .noUi-handle:before {\\n  display: none;\\n}\\n.bk-root .noUi-tooltip {\\n  display: none;\\n  white-space: nowrap;\\n}\\n.bk-root .noUi-handle:hover .noUi-tooltip {\\n  display: block;\\n}\\n.bk-root .noUi-horizontal {\\n  width: 100%;\\n  height: 10px;\\n}\\n.bk-root .noUi-vertical {\\n  width: 10px;\\n  height: 100%;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n  width: 14px;\\n  height: 18px;\\n  right: -7px;\\n  top: -5px;\\n}\\n.bk-root .noUi-vertical 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n=e(1),s=e(392),o=e(291),_=e(68),d=n.__importStar(e(18)),l=e(8),r=e(146),u=e(254),c=e(255),h=n.__importDefault(e(257));class p extends s.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=_.div({class:[c.bk_caret,r.bk_down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(u.bk_dropdown_toggle),t.addEventListener(\"click\",()=>this._toggle_menu()),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map((e,t)=>{if(null==e)return _.div({class:c.bk_divider});{const i=l.isString(e)?e:e[0],n=_.div({},i);return n.addEventListener(\"click\",()=>this._item_click(t)),n}});this.menu=_.div({class:[c.bk_menu,r.bk_below]},t),this.el.appendChild(this.menu),_.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,_.display(this.menu);const e=t=>{const{target:i}=t;i instanceof 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t.clear=function(){this.element.innerHTML=\"\"},t.append=function(e){this.element.appendChild(e)},t.getChild=function(e){return this.element.querySelector(e)},t.hasChildren=function(){return this.element.hasChildNodes()},t.scrollToTop=function(){this.element.scrollTop=0},t.scrollToChildElement=function(e,t){var i=this;if(e){var n=this.element.offsetHeight,s=this.element.scrollTop+n,r=e.offsetHeight,o=e.offsetTop+r,a=t>0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),n<e&&(s=!0)):(this._scrollUp(n,4,e),n>e&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function le(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var he=function(){function e(e){var t=e.element,i=e.classNames;if(this.element=t,this.classNames=i,!(t instanceof HTMLInputElement||t instanceof HTMLSelectElement))throw new TypeError(\"Invalid element passed\");this.isDisabled=!1}var t,i,n,s=e.prototype;return s.conceal=function(){this.element.classList.add(this.classNames.input),this.element.hidden=!0,this.element.tabIndex=-1;var e=this.element.getAttribute(\"style\");e&&this.element.setAttribute(\"data-choice-orig-style\",e),this.element.setAttribute(\"data-choice\",\"active\")},s.reveal=function(){this.element.classList.remove(this.classNames.input),this.element.hidden=!1,this.element.removeAttribute(\"tabindex\");var e=this.element.getAttribute(\"data-choice-orig-style\");e?(this.element.removeAttribute(\"data-choice-orig-style\"),this.element.setAttribute(\"style\",e)):this.element.removeAttribute(\"style\"),this.element.removeAttribute(\"data-choice\"),this.element.value=this.element.value},s.enable=function(){this.element.removeAttribute(\"disabled\"),this.element.disabled=!1,this.isDisabled=!1},s.disable=function(){this.element.setAttribute(\"disabled\",\"\"),this.element.disabled=!0,this.isDisabled=!0},s.triggerEvent=function(e,t){!function(e,t,i){void 0===i&&(i=null);var n=new CustomEvent(t,{detail:i,bubbles:!0,cancelable:!0});e.dispatchEvent(n)}(this.element,e,t)},t=e,(i=[{key:\"isActive\",get:function(){return\"active\"===this.element.dataset.choice}},{key:\"dir\",get:function(){return this.element.dir}},{key:\"value\",get:function(){return this.element.value},set:function(e){this.element.value=e}}])&&le(t.prototype,i),n&&le(t,n),e}();function ue(e,t){for(var i=0;i<t.length;i++){var 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i=e.group,n=e.groupHeading,s=e.itemDisabled,r=t.id,o=t.value,a=t.disabled,c=Object.assign(document.createElement(\"div\"),{className:i+\" \"+(a?s:\"\")});return c.setAttribute(\"role\",\"group\"),Object.assign(c.dataset,{group:\"\",id:r,value:o}),a&&c.setAttribute(\"aria-disabled\",\"true\"),c.appendChild(Object.assign(document.createElement(\"div\"),{className:n,innerHTML:o})),c},choice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.itemSelectable,o=e.selectedState,a=e.itemDisabled,c=e.placeholder,l=t.id,h=t.value,u=t.label,d=t.groupId,p=t.elementId,m=t.disabled,f=t.selected,v=t.placeholder,g=Object.assign(document.createElement(\"div\"),{id:p,innerHTML:u,className:n+\" \"+s});return 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a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},ve=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ge=function(e,t){return{type:$,id:e,highlighted:t}},_e=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},be=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function ye(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var Ee=\"-ms-scroll-limit\"in document.documentElement.style&&\"-ms-ime-align\"in document.documentElement.style,Ie={},Se=function(){var e,t,i;function n(e,t){var i=this;void 0===e&&(e=\"[data-choice]\"),void 0===t&&(t={}),this.config=o.a.all([P,n.defaults.options,t],{arrayMerge:function(e,t){return[].concat(t)}});var s,r,a,c,l=(s=this.config,r=P,a=Object.keys(s).sort(),c=Object.keys(r).sort(),a.filter((function(e){return c.indexOf(e)<0})));l.length&&console.warn(\"Unknown config option(s) passed\",l.join(\", \"));var h=\"string\"==typeof e?document.querySelector(e):e;if(!(h instanceof HTMLInputElement||h instanceof HTMLSelectElement))throw TypeError(\"Expected one of the following types text|select-one|select-multiple\");if(this._isTextElement=\"text\"===h.type,this._isSelectOneElement=\"select-one\"===h.type,this._isSelectMultipleElement=\"select-multiple\"===h.type,this._isSelectElement=this._isSelectOneElement||this._isSelectMultipleElement,this.config.searchEnabled=this._isSelectMultipleElement||this.config.searchEnabled,[\"auto\",\"always\"].includes(this.config.renderSelectedChoices)||(this.config.renderSelectedChoices=\"auto\"),t.addItemFilter&&\"function\"!=typeof t.addItemFilter){var u=t.addItemFilter instanceof RegExp?t.addItemFilter:new RegExp(t.addItemFilter);this.config.addItemFilter=u.test.bind(u)}if(this._isTextElement?this.passedElement=new de({element:h,classNames:this.config.classNames,delimiter:this.config.delimiter}):this.passedElement=new me({element:h,classNames:this.config.classNames,template:function(e){return i._templates.option(e)}}),this.initialised=!1,this._store=new T,this._initialState={},this._currentState={},this._prevState={},this._currentValue=\"\",this._canSearch=this.config.searchEnabled,this._isScrollingOnIe=!1,this._highlightPosition=0,this._wasTap=!0,this._placeholderValue=this._generatePlaceholderValue(),this._baseId=function(e,t){var i=e.id||e.name&&e.name+\"-\"+b(2)||b(4);return i=t+\"-\"+(i=i.replace(/(:|\\.|\\[|\\]|,)/g,\"\"))}(this.passedElement.element,\"choices-\"),this._direction=this.passedElement.dir,!this._direction){var d=window.getComputedStyle(this.passedElement.element).direction;d!==window.getComputedStyle(document.documentElement).direction&&(this._direction=d)}if(this._idNames={itemChoice:\"item-choice\"},this._presetGroups=this.passedElement.optionGroups,this._presetOptions=this.passedElement.options,this._presetChoices=this.config.choices,this._presetItems=this.config.items,this.passedElement.value&&(this._presetItems=this._presetItems.concat(this.passedElement.value.split(this.config.delimiter))),this.passedElement.options&&this.passedElement.options.forEach((function(e){i._presetChoices.push({value:e.value,label:e.innerHTML,selected:e.selected,disabled:e.disabled||e.parentNode.disabled,placeholder:\"\"===e.value||e.hasAttribute(\"placeholder\"),customProperties:e.getAttribute(\"data-custom-properties\")})})),this._render=this._render.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this),this._onKeyUp=this._onKeyUp.bind(this),this._onKeyDown=this._onKeyDown.bind(this),this._onClick=this._onClick.bind(this),this._onTouchMove=this._onTouchMove.bind(this),this._onTouchEnd=this._onTouchEnd.bind(this),this._onMouseDown=this._onMouseDown.bind(this),this._onMouseOver=this._onMouseOver.bind(this),this._onFormReset=this._onFormReset.bind(this),this._onAKey=this._onAKey.bind(this),this._onEnterKey=this._onEnterKey.bind(this),this._onEscapeKey=this._onEscapeKey.bind(this),this._onDirectionKey=this._onDirectionKey.bind(this),this._onDeleteKey=this._onDeleteKey.bind(this),this.passedElement.isActive)return this.config.silent||console.warn(\"Trying to initialise Choices on element already initialised\"),void(this.initialised=!0);this.init()}e=n,i=[{key:\"defaults\",get:function(){return Object.preventExtensions({get options(){return Ie},get templates(){return fe}})}}],(t=null)&&ye(e.prototype,t),i&&ye(e,i);var r=n.prototype;return r.init=function(){if(!this.initialised){this._createTemplates(),this._createElements(),this._createStructure(),this._initialState=O(this._store.state),this._store.subscribe(this._render),this._render(),this._addEventListeners(),(!this.config.addItems||this.passedElement.element.hasAttribute(\"disabled\"))&&this.disable(),this.initialised=!0;var e=this.config.callbackOnInit;e&&\"function\"==typeof e&&e.call(this)}},r.destroy=function(){this.initialised&&(this._removeEventListeners(),this.passedElement.reveal(),this.containerOuter.unwrap(this.passedElement.element),this.clearStore(),this._isSelectElement&&(this.passedElement.options=this._presetOptions),this._templates=null,this.initialised=!1)},r.enable=function(){return this.passedElement.isDisabled&&this.passedElement.enable(),this.containerOuter.isDisabled&&(this._addEventListeners(),this.input.enable(),this.containerOuter.enable()),this},r.disable=function(){return this.passedElement.isDisabled||this.passedElement.disable(),this.containerOuter.isDisabled||(this._removeEventListeners(),this.input.disable(),this.containerOuter.disable()),this},r.highlightItem=function(e,t){if(void 0===t&&(t=!0),!e)return this;var i=e.id,n=e.groupId,s=void 0===n?-1:n,r=e.value,o=void 0===r?\"\":r,a=e.label,c=void 0===a?\"\":a,l=s>=0?this._store.getGroupById(s):null;return this._store.dispatch(ge(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ge(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(ve(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v<m;v+=1)f[v]&&l(f[v]);return t},r._createItemsFragment=function(e,t){var i=this;void 0===t&&(t=document.createDocumentFragment());var n=this.config,s=n.shouldSortItems,r=n.sorter,o=n.removeItemButton;return s&&!this._isSelectOneElement&&e.sort(r),this._isTextElement?this.passedElement.value=e:this.passedElement.options=e,e.forEach((function(e){var n=i._getTemplate(\"item\",e,o);t.appendChild(n)})),t},r._triggerChange=function(e){null!=e&&this.passedElement.triggerEvent(N,{value:e})},r._selectPlaceholderChoice=function(){var e=this._store.placeholderChoice;e&&(this._addItem({value:e.value,label:e.label,choiceId:e.id,groupId:e.groupId,placeholder:e.placeholder}),this._triggerChange(e.value))},r._handleButtonAction=function(e,t){if(e&&t&&this.config.removeItems&&this.config.removeItemButton){var i=t.parentNode.getAttribute(\"data-id\"),n=e.find((function(e){return e.id===parseInt(i,10)}));this._removeItem(n),this._triggerChange(n.value),this._isSelectOneElement&&this._selectPlaceholderChoice()}},r._handleItemAction=function(e,t,i){var n=this;if(void 0===i&&(i=!1),e&&t&&this.config.removeItems&&!this._isSelectOneElement){var s=t.getAttribute(\"data-id\");e.forEach((function(e){e.id!==parseInt(s,10)||e.highlighted?!i&&e.highlighted&&n.unhighlightItem(e):n.highlightItem(e)})),this.input.focus()}},r._handleChoiceAction=function(e,t){if(e&&t){var i=t.dataset.id,n=this._store.getChoiceById(i);if(n){var s=e[0]&&e[0].keyCode?e[0].keyCode:null,r=this.dropdown.isActive;n.keyCode=s,this.passedElement.triggerEvent(F,{choice:n}),n.selected||n.disabled||this._canAddItem(e,n.value).response&&(this._addItem({value:n.value,label:n.label,choiceId:n.id,groupId:n.groupId,customProperties:n.customProperties,placeholder:n.placeholder,keyCode:n.keyCode}),this._triggerChange(n.value)),this.clearInput(),r&&this._isSelectOneElement&&(this.hideDropdown(!0),this.containerOuter.focus())}}},r._handleBackspace=function(e){if(this.config.removeItems&&e){var t=e[e.length-1],i=e.some((function(e){return e.highlighted}));this.config.editItems&&!i&&t?(this.input.value=t.value,this.input.setWidth(),this._removeItem(t),this._triggerChange(t.value)):(i||this.highlightItem(t,!1),this.removeHighlightedItems(!0))}},r._startLoading=function(){this._store.dispatch(be(!0))},r._stopLoading=function(){this._store.dispatch(be(!1))},r._handleLoadingState=function(e){void 0===e&&(e=!0);var t=this.itemList.getChild(\".\"+this.config.classNames.placeholder);e?(this.disable(),this.containerOuter.addLoadingState(),this._isSelectOneElement?t?t.innerHTML=this.config.loadingText:(t=this._getTemplate(\"placeholder\",this.config.loadingText),this.itemList.append(t)):this.input.placeholder=this.config.loadingText):(this.enable(),this.containerOuter.removeLoadingState(),this._isSelectOneElement?t.innerHTML=this._placeholderValue||\"\":this.input.placeholder=this._placeholderValue||\"\")},r._handleSearch=function(e){if(e&&this.input.isFocussed){var t=this._store.choices,i=this.config,n=i.searchFloor,s=i.searchChoices,r=t.some((function(e){return!e.active}));if(e&&e.length>=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(ve(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(ve(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1;if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(\"[data-choice-selectable]\");else{var p=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=p?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(p,\"[data-choice-selectable]\",d):this.dropdown.element.querySelector(\"[data-choice-selectable]\")}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(Ee&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX<i.offsetLeft;this._isScrollingOnIe=n}if(t!==this.input.element){var s=t.closest(\"[data-button],[data-item],[data-choice]\");if(s instanceof HTMLElement){var r=e.shiftKey,o=this._store.activeItems,a=s.dataset;\"button\"in a?this._handleButtonAction(o,s):\"item\"in a?this._handleItemAction(o,s,r):\"choice\"in a&&this._handleChoiceAction(o,s)}e.preventDefault()}}},r._onMouseOver=function(e){var t=e.target;t instanceof HTMLElement&&\"choice\"in t.dataset&&this._highlightChoice(t)},r._onClick=function(e){var t=e.target;this.containerOuter.element.contains(t)?this.dropdown.isActive||this.containerOuter.isDisabled?this._isSelectOneElement&&t!==this.input.element&&!this.dropdown.element.contains(t)&&this.hideDropdown():this._isTextElement?document.activeElement!==this.input.element&&this.input.focus():(this.showDropdown(),this.containerOuter.focus()):(this._store.highlightedActiveItems.length>0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(_e({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(_e({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r<n;r++)s[r-1]=arguments[r];return(t=this._templates[e]).call.apply(t,[this,i].concat(s))},r._createTemplates=function(){var e=this.config.callbackOnCreateTemplates,t={};e&&\"function\"==typeof e&&(t=e.call(this,S)),this._templates=o()(fe,t)},r._createElements=function(){this.containerOuter=new re({element:this._getTemplate(\"containerOuter\",this._direction,this._isSelectElement,this._isSelectOneElement,this.config.searchEnabled,this.passedElement.element.type),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.containerInner=new re({element:this._getTemplate(\"containerInner\"),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.input=new ae({element:this._getTemplate(\"input\",this._placeholderValue),classNames:this.config.classNames,type:this.passedElement.element.type,preventPaste:!this.config.paste}),this.choiceList=new ce({element:this._getTemplate(\"choiceList\",this._isSelectOneElement)}),this.itemList=new ce({element:this._getTemplate(\"itemList\",this._isSelectOneElement)}),this.dropdown=new k({element:this._getTemplate(\"dropdown\"),classNames:this.config.classNames,type:this.passedElement.element.type})},r._createStructure=function(){this.passedElement.conceal(),this.containerInner.wrap(this.passedElement.element),this.containerOuter.wrap(this.containerInner.element),this._isSelectOneElement?this.input.placeholder=this.config.searchPlaceholderValue||\"\":this._placeholderValue&&(this.input.placeholder=this._placeholderValue,this.input.setWidth()),this.containerOuter.element.appendChild(this.containerInner.element),this.containerOuter.element.appendChild(this.dropdown.element),this.containerInner.element.appendChild(this.itemList.element),this._isTextElement||this.dropdown.element.appendChild(this.choiceList.element),this._isSelectOneElement?this.config.searchEnabled&&this.dropdown.element.insertBefore(this.input.element,this.dropdown.element.firstChild):this.containerInner.element.appendChild(this.input.element),this._isSelectElement&&(this._highlightPosition=0,this._isSearching=!1,this._startLoading(),this._presetGroups.length?this._addPredefinedGroups(this._presetGroups):this._addPredefinedChoices(this._presetChoices),this._stopLoading()),this._isTextElement&&this._addPredefinedItems(this._presetItems)},r._addPredefinedGroups=function(e){var t=this,i=this.passedElement.placeholderOption;i&&\"SELECT\"===i.parentNode.tagName&&this._addChoice({value:i.value,label:i.innerHTML,isSelected:i.selected,isDisabled:i.disabled,placeholder:!0}),e.forEach((function(e){return t._addGroup({group:e,id:e.id||null})}))},r._addPredefinedChoices=function(e){var t=this;this.config.shouldSort&&e.sort(this.config.sorter);var i=e.some((function(e){return e.selected})),n=e.findIndex((function(e){return void 0===e.disabled||!e.disabled}));e.forEach((function(e,s){var r=e.value,o=e.label,a=e.customProperties,c=e.placeholder;if(t._isSelectElement)if(e.choices)t._addGroup({group:e,id:e.id||null});else{var l=!(!t._isSelectOneElement||i||s!==n)||e.selected,h=e.disabled;t._addChoice({value:r,label:o,isSelected:l,isDisabled:h,customProperties:a,placeholder:c})}else t._addChoice({value:r,label:o,isSelected:e.selected,isDisabled:e.disabled,customProperties:a,placeholder:c})}))},r._addPredefinedItems=function(e){var t=this;e.forEach((function(e){\"object\"==typeof e&&e.value&&t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}),\"string\"==typeof e&&t._addItem({value:e})}))},r._setChoiceOrItem=function(e){var t=this;({object:function(){e.value&&(t._isTextElement?t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}):t._addChoice({value:e.value,label:e.label,isSelected:!0,isDisabled:!1,customProperties:e.customProperties,placeholder:e.placeholder}))},string:function(){t._isTextElement?t._addItem({value:e}):t._addChoice({value:e,label:e,isSelected:!0,isDisabled:!1})}})[y(e).toLowerCase()]()},r._findAndSelectChoiceByValue=function(e){var t=this,i=this._store.choices.find((function(i){return t.config.valueComparer(i.value,e)}));i&&!i.selected&&this._addItem({value:i.value,label:i.label,choiceId:i.id,groupId:i.groupId,customProperties:i.customProperties,placeholder:i.placeholder,keyCode:i.keyCode})},r._generatePlaceholderValue=function(){if(this._isSelectElement){var e=this.passedElement.placeholderOption;return!!e&&e.text}var t=this.config,i=t.placeholder,n=t.placeholderValue,s=this.passedElement.element.dataset;if(i){if(n)return n;if(s.placeholder)return s.placeholder}return!1},n}();t.default=Se}]).default},\"object\"==typeof i&&\"object\"==typeof t?t.exports=s():\"function\"==typeof define&&define.amd?define([],s):\"object\"==typeof i?i.Choices=s():n.Choices=s()},\n      428: function _(n,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});e.default=\"\\n.bk-root {\\n  /*===============================\\n=            Choices            =\\n===============================*/\\n  /*=====  End of Choices  ======*/\\n}\\n.bk-root .choices {\\n  position: relative;\\n  margin-bottom: 24px;\\n  font-size: 16px;\\n}\\n.bk-root .choices:focus {\\n  outline: none;\\n}\\n.bk-root .choices:last-child {\\n  margin-bottom: 0;\\n}\\n.bk-root .choices.is-disabled .choices__inner,\\n.bk-root .choices.is-disabled .choices__input {\\n  background-color: #eaeaea;\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n}\\n.bk-root .choices.is-disabled .choices__item {\\n  cursor: not-allowed;\\n}\\n.bk-root .choices [hidden] {\\n  display: none !important;\\n}\\n.bk-root .choices[data-type*='select-one'] {\\n  cursor: pointer;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__inner {\\n  padding-bottom: 7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__input {\\n  display: block;\\n  width: 100%;\\n  padding: 10px;\\n  border-bottom: 1px solid #dddddd;\\n  background-color: #ffffff;\\n  margin: 0;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDAwIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  padding: 0;\\n  background-size: 8px;\\n  position: absolute;\\n  top: 50%;\\n  right: 0;\\n  margin-top: -10px;\\n  margin-right: 25px;\\n  height: 20px;\\n  width: 20px;\\n  border-radius: 10em;\\n  opacity: 0.5;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  box-shadow: 0px 0px 0px 2px #00bcd4;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__item[data-value=''] .choices__button {\\n  display: none;\\n}\\n.bk-root .choices[data-type*='select-one']:after {\\n  content: '';\\n  height: 0;\\n  width: 0;\\n  border-style: solid;\\n  border-color: #333333 transparent transparent transparent;\\n  border-width: 5px;\\n  position: absolute;\\n  right: 11.5px;\\n  top: 50%;\\n  margin-top: -2.5px;\\n  pointer-events: none;\\n}\\n.bk-root .choices[data-type*='select-one'].is-open:after {\\n  border-color: transparent transparent #333333 transparent;\\n  margin-top: -7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl']:after {\\n  left: 11.5px;\\n  right: auto;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl'] .choices__button {\\n  right: auto;\\n  left: 0;\\n  margin-left: 25px;\\n  margin-right: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__inner,\\n.bk-root .choices[data-type*='text'] .choices__inner {\\n  cursor: text;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button,\\n.bk-root .choices[data-type*='text'] .choices__button {\\n  position: relative;\\n  display: inline-block;\\n  margin-top: 0;\\n  margin-right: -4px;\\n  margin-bottom: 0;\\n  margin-left: 8px;\\n  padding-left: 16px;\\n  border-left: 1px solid #008fa1;\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjRkZGIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  background-size: 8px;\\n  width: 8px;\\n  line-height: 1;\\n  opacity: 0.75;\\n  border-radius: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:focus,\\n.bk-root .choices[data-type*='text'] .choices__button:hover,\\n.bk-root .choices[data-type*='text'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices__inner {\\n  display: inline-block;\\n  vertical-align: top;\\n  width: 100%;\\n  background-color: #f9f9f9;\\n  padding: 7.5px 7.5px 3.75px;\\n  border: 1px solid #dddddd;\\n  border-radius: 2.5px;\\n  font-size: 14px;\\n  min-height: 44px;\\n  overflow: hidden;\\n}\\n.bk-root .is-focused .choices__inner,\\n.bk-root .is-open .choices__inner {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-open .choices__inner {\\n  border-radius: 2.5px 2.5px 0 0;\\n}\\n.bk-root .is-flipped.is-open .choices__inner {\\n  border-radius: 0 0 2.5px 2.5px;\\n}\\n.bk-root .choices__list {\\n  margin: 0;\\n  padding-left: 0;\\n  list-style: none;\\n}\\n.bk-root .choices__list--single {\\n  display: inline-block;\\n  padding: 4px 16px 4px 4px;\\n  width: 100%;\\n}\\n.bk-root [dir='rtl'] .choices__list--single {\\n  padding-right: 4px;\\n  padding-left: 16px;\\n}\\n.bk-root .choices__list--single .choices__item {\\n  width: 100%;\\n}\\n.bk-root .choices__list--multiple {\\n  display: inline;\\n}\\n.bk-root .choices__list--multiple .choices__item {\\n  display: inline-block;\\n  vertical-align: middle;\\n  border-radius: 20px;\\n  padding: 4px 10px;\\n  font-size: 12px;\\n  font-weight: 500;\\n  margin-right: 3.75px;\\n  margin-bottom: 3.75px;\\n  background-color: #00bcd4;\\n  border: 1px solid #00a5bb;\\n  color: #ffffff;\\n  word-break: break-all;\\n  box-sizing: border-box;\\n}\\n.bk-root .choices__list--multiple .choices__item[data-deletable] {\\n  padding-right: 5px;\\n}\\n.bk-root [dir='rtl'] .choices__list--multiple .choices__item {\\n  margin-right: 0;\\n  margin-left: 3.75px;\\n}\\n.bk-root .choices__list--multiple .choices__item.is-highlighted {\\n  background-color: #00a5bb;\\n  border: 1px solid #008fa1;\\n}\\n.bk-root .is-disabled .choices__list--multiple .choices__item {\\n  background-color: #aaaaaa;\\n  border: 1px solid #919191;\\n}\\n.bk-root .choices__list--dropdown {\\n  visibility: hidden;\\n  z-index: 1;\\n  position: absolute;\\n  width: 100%;\\n  background-color: #ffffff;\\n  border: 1px solid #dddddd;\\n  top: 100%;\\n  margin-top: -1px;\\n  border-bottom-left-radius: 2.5px;\\n  border-bottom-right-radius: 2.5px;\\n  overflow: hidden;\\n  word-break: break-all;\\n  will-change: visibility;\\n}\\n.bk-root .choices__list--dropdown.is-active {\\n  visibility: visible;\\n}\\n.bk-root .is-open .choices__list--dropdown {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-flipped .choices__list--dropdown {\\n  top: auto;\\n  bottom: 100%;\\n  margin-top: 0;\\n  margin-bottom: -1px;\\n  border-radius: 0.25rem 0.25rem 0 0;\\n}\\n.bk-root .choices__list--dropdown .choices__list {\\n  position: relative;\\n  max-height: 300px;\\n  overflow: auto;\\n  -webkit-overflow-scrolling: touch;\\n  will-change: scroll-position;\\n}\\n.bk-root .choices__list--dropdown .choices__item {\\n  position: relative;\\n  padding: 10px;\\n  font-size: 14px;\\n}\\n.bk-root [dir='rtl'] .choices__list--dropdown .choices__item {\\n  text-align: right;\\n}\\n@media (min-width: 640px) {\\n  .bk-root .choices__list--dropdown .choices__item--selectable {\\n    padding-right: 100px;\\n  }\\n  .bk-root .choices__list--dropdown .choices__item--selectable:after {\\n    content: attr(data-select-text);\\n    font-size: 12px;\\n    opacity: 0;\\n    position: absolute;\\n    right: 10px;\\n    top: 50%;\\n    transform: translateY(-50%);\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable {\\n    text-align: right;\\n    padding-left: 100px;\\n    padding-right: 10px;\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable:after {\\n    right: auto;\\n    left: 10px;\\n  }\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted:after {\\n  opacity: 0.5;\\n}\\n.bk-root .choices__item {\\n  cursor: default;\\n}\\n.bk-root .choices__item--selectable {\\n  cursor: pointer;\\n}\\n.bk-root .choices__item--disabled {\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  opacity: 0.5;\\n}\\n.bk-root .choices__heading {\\n  font-weight: 600;\\n  font-size: 12px;\\n  padding: 10px;\\n  border-bottom: 1px solid #f7f7f7;\\n  color: gray;\\n}\\n.bk-root .choices__button {\\n  text-indent: -9999px;\\n  -webkit-appearance: none;\\n  -moz-appearance: none;\\n  appearance: none;\\n  border: 0;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center;\\n  cursor: pointer;\\n}\\n.bk-root .choices__button:focus {\\n  outline: none;\\n}\\n.bk-root .choices__input {\\n  display: inline-block;\\n  vertical-align: baseline;\\n  background-color: #f9f9f9;\\n  font-size: 14px;\\n  margin-bottom: 5px;\\n  border: 0;\\n  border-radius: 0;\\n  max-width: 100%;\\n  padding: 4px 0 4px 2px;\\n}\\n.bk-root .choices__input:focus {\\n  outline: 0;\\n}\\n.bk-root [dir='rtl'] .choices__input {\\n  padding-right: 2px;\\n  padding-left: 0;\\n}\\n.bk-root .choices__placeholder {\\n  opacity: 0.5;\\n}\\n.bk-root .choices {\\n  width: 100%;\\n}\\n.bk-root .choices__inner .choices__item.light {\\n  background-color: rgba(0, 126, 255, 0.08);\\n  border-radius: 5px;\\n  border: 1px solid rgba(0, 126, 255, 0.24);\\n  color: #007eff;\\n}\\n.bk-root .choices__inner .choices__item.solid {\\n  background-color: #1f77b4;\\n  border: none;\\n  border-radius: 5px;\\n  color: white;\\n}\\n.bk-root .choices__inner .choices__item.solid .is-highlighted {\\n  background-color: #1f77b4;\\n  border: none;\\n}\\n.bk-root .choices__input {\\n  background-color: transparent;\\n}\\n.bk-root .choices__inner {\\n  background: transparent;\\n  border: 1px solid darkgray;\\n  border-radius: 5px;\\n  min-height: unset;\\n}\\n.bk-root .choices__list {\\n  white-space: initial;\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.light {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDA3ZWZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.solid {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjZmZmZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  border-left: 1px solid white;\\n  opacity: 1;\\n}\\n\"},\n      429: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=e(418),i=e(68);class n extends s.MarkupView{render(){super.render();const e=i.pre({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=n,n.__name__=\"PreTextView\";class _ extends s.Markup{constructor(e){super(e)}static init_PreText(){this.prototype.default_view=n}}r.PreText=_,_.__name__=\"PreText\",_.init_PreText()},\n      430: function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(403),n=t(68),u=i.__importStar(t(18)),s=t(146);class _ extends a.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach((o,e)=>{n.classes(o).toggle(s.bk_active,t===e)})}}e.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class c extends a.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define({active:[u.Any,null]})}}e.RadioButtonGroup=c,c.__name__=\"RadioButtonGroup\",c.init_RadioButtonGroup()},\n      431: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),a=e(68),s=e(24),o=n.__importStar(e(18)),d=e(405),l=e(146),p=e(400);class r extends d.InputGroupView{render(){super.render();const e=a.div({class:[p.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const i=s.uniqueId(),{active:t,labels:n}=this.model;this._inputs=[];for(let s=0;s<n.length;s++){const o=a.input({type:\"radio\",name:i,value:\"\"+s});o.addEventListener(\"change\",()=>this.change_active(s)),this._inputs.push(o),this.model.disabled&&(o.disabled=!0),s==t&&(o.checked=!0);const d=a.label({},o,a.span({},n[s]));e.appendChild(d)}}change_active(e){this.model.active=e}}t.RadioGroupView=r,r.__name__=\"RadioGroupView\";class u extends d.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=r,this.define({active:[o.Number],labels:[o.Array,[]],inline:[o.Boolean,!1]})}}t.RadioGroup=u,u.__name__=\"RadioGroup\",u.init_RadioGroup()},\n      432: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),a=e(411),n=e(8);class o extends a.AbstractRangeSliderView{}r.RangeSliderView=o,o.__name__=\"RangeSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(e,t){return n.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.RangeSlider=s,s.__name__=\"RangeSlider\",s.init_RangeSlider()},\n      433: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(68),l=e(8),o=e(17),p=n.__importStar(e(18)),u=e(398),a=e(400);class _ extends u.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,()=>{this._update_value()}),this.on_change(t,()=>{s.empty(this.input_el),s.append(this.input_el,...this.options_el())})}options_el(){function e(e){return e.map(e=>{let t,i;return l.isString(e)?t=i=e:[t,i]=e,s.option({value:t},i)})}const{options:t}=this.model;return l.isArray(t)?e(t):o.entries(t).map(([t,i])=>s.optgroup({label:t},e(i)))}render(){super.render(),this.input_el=s.select({class:a.bk_input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;null!=e&&0!=e.length&&(this.input_el.value=this.model.value)}}i.SelectView=_,_.__name__=\"SelectView\";class h extends u.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=_,this.define({value:[p.String,\"\"],options:[p.Any,[]]})}}i.Select=h,h.__name__=\"Select\",h.init_Select()},\n      434: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),o=e(411),s=e(8);class _ extends o.AbstractSliderView{}r.SliderView=_,_.__name__=\"SliderView\";class a extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=_,this.override({format:\"0[.]00\"})}_formatter(e,t){return s.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.Slider=a,a.__name__=\"Slider\",a.init_Slider()},\n      435: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),h=n.__importStar(e(18)),o=e(400),{floor:p,max:d,min:u}=Math;function r(e){return p(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.low.change,()=>{const{low:e}=this.model;null!=e&&(this.input_el.min=e.toFixed(16))}),this.connect(this.model.properties.high.change,()=>{const{high:e}=this.model;null!=e&&(this.input_el.max=e.toFixed(16))}),this.connect(this.model.properties.step.change,()=>{const{step:e}=this.model;this.input_el.step=e.toFixed(16)}),this.connect(this.model.properties.value.change,()=>{const{value:e,step:t}=this.model;this.input_el.value=e.toFixed(r(t)).replace(/(\\.[0-9]*[1-9])0+$|\\.0*$/,\"$1\")}),this.connect(this.model.properties.disabled.change,()=>{this.input_el.disabled=this.model.disabled})}render(){super.render(),this.input_el=l.input({type:\"number\",class:o.bk_input,name:this.model.name,min:this.model.low,max:this.model.high,value:this.model.value,step:this.model.step,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){if(this.input_el.value){const{step:e}=this.model;let t=Number(this.input_el.value);null!=this.model.low&&(t=d(t,this.model.low)),null!=this.model.high&&(t=u(t,this.model.high)),this.model.value=Number(t.toFixed(r(e))),super.change_input()}}}i.SpinnerView=a,a.__name__=\"SpinnerView\";class c extends s.InputWidget{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=a,this.define({value:[h.Number,0],low:[h.Number,null],high:[h.Number,null],step:[h.Number,1]})}}i.Spinner=c,c.__name__=\"Spinner\",c.init_Spinner()},\n      436: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(398),l=e(68),h=s.__importStar(e(18)),o=e(400);class a extends n.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder),this.connect(this.model.properties.rows.change,()=>this.input_el.rows=this.model.rows),this.connect(this.model.properties.cols.change,()=>this.input_el.cols=this.model.cols),this.connect(this.model.properties.max_length.change,()=>this.input_el.maxLength=this.model.max_length)}render(){super.render(),this.input_el=l.textarea({class:o.bk_input,name:this.model.name,disabled:this.model.disabled,placeholder:this.model.placeholder,cols:this.model.cols,rows:this.model.rows,maxLength:this.model.max_length}),this.input_el.textContent=this.model.value,this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}}i.TextAreaInputView=a,a.__name__=\"TextAreaInputView\";class p extends n.InputWidget{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=a,this.define({value:[h.String,\"\"],value_input:[h.String,\"\"],placeholder:[h.String,\"\"],cols:[h.Number,20],rows:[h.Number,2],max_length:[h.Number,500]})}}i.TextAreaInput=p,p.__name__=\"TextAreaInput\",p.init_TextAreaInput()},\n      437: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),c=e(392),o=e(68),a=s.__importStar(e(18)),n=e(146);class l extends c.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._update_active())}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){o.classes(this.button_el).toggle(n.bk_active,this.model.active)}}i.ToggleView=l,l.__name__=\"ToggleView\";class _ extends c.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=l,this.define({active:[a.Boolean,!1]}),this.override({label:\"Toggle\"})}}i.Toggle=_,_.__name__=\"Toggle\",_.init_Toggle()},\n      }, 390, {\"models/widgets/main\":390,\"models/widgets/index\":391,\"models/widgets/abstract_button\":392,\"models/widgets/control\":393,\"models/widgets/widget\":458,\"models/widgets/abstract_icon\":395,\"models/widgets/autocomplete_input\":396,\"models/widgets/text_input\":397,\"models/widgets/input_widget\":398,\"styles/widgets/inputs.css\":399,\"styles/widgets/inputs\":400,\"models/widgets/button\":401,\"models/widgets/checkbox_button_group\":402,\"models/widgets/button_group\":403,\"models/widgets/checkbox_group\":404,\"models/widgets/input_group\":405,\"models/widgets/color_picker\":406,\"models/widgets/date_picker\":407,\"styles/widgets/flatpickr.css\":409,\"models/widgets/date_range_slider\":410,\"models/widgets/abstract_slider\":411,\"styles/widgets/sliders\":413,\"styles/widgets/nouislider.css\":414,\"styles/widgets/sliders.css\":415,\"models/widgets/date_slider\":416,\"models/widgets/div\":417,\"models/widgets/markup\":418,\"styles/clearfix\":419,\"styles/clearfix.css\":420,\"models/widgets/dropdown\":421,\"models/widgets/file_input\":422,\"models/widgets/multiselect\":423,\"models/widgets/paragraph\":424,\"models/widgets/password_input\":425,\"models/widgets/multichoice\":426,\"styles/widgets/choices.css\":428,\"models/widgets/pretext\":429,\"models/widgets/radio_button_group\":430,\"models/widgets/radio_group\":431,\"models/widgets/range_slider\":432,\"models/widgets/selectbox\":433,\"models/widgets/slider\":434,\"models/widgets/spinner\":435,\"models/widgets/textarea_input\":436,\"models/widgets/toggle\":437}, {});\n      })\n\n\n      /* END bokeh-widgets.min.js */\n    },\n    \n    function(Bokeh) {\n      /* BEGIN bokeh-tables.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], \"2.1.1\");\n      })(this, function(Bokeh, version) {\n        var define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      438: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(439));o.Tables=r,e(7).register_models(r)},\n      439: function _(a,g,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(1);e.__exportStar(a(440),r),e.__exportStar(a(462),r);var t=a(441);r.DataTable=t.DataTable;var o=a(465);r.TableColumn=o.TableColumn;var n=a(457);r.TableWidget=n.TableWidget;var u=a(466);r.AvgAggregator=u.AvgAggregator,r.MinAggregator=u.MinAggregator,r.MaxAggregator=u.MaxAggregator,r.SumAggregator=u.SumAggregator;var l=a(467);r.GroupingInfo=l.GroupingInfo,r.DataCube=l.DataCube},\n      440: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1).__importStar(e(18)),r=e(68),a=e(66),n=e(71),l=e(441),u=e(459);class d extends a.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(u.bk_cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",e=>{switch(e.keyCode){case r.Keys.Left:case r.Keys.Right:case r.Keys.Up:case r.Keys.Down:case r.Keys.PageUp:case r.Keys.PageDown:e.stopImmediatePropagation()}})}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[l.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=d,d.__name__=\"CellEditorView\";class o extends n.Model{}i.CellEditor=o,o.__name__=\"CellEditor\";class _ extends d{get emptyValue(){return\"\"}_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=_,_.__name__=\"StringEditorView\";class c extends o{static init_StringEditor(){this.prototype.default_view=_,this.define({completions:[s.Array,[]]})}}i.StringEditor=c,c.__name__=\"StringEditor\",c.init_StringEditor();class p extends d{_createInput(){return r.textarea()}}i.TextEditorView=p,p.__name__=\"TextEditorView\";class h extends o{static init_TextEditor(){this.prototype.default_view=p}}i.TextEditor=h,h.__name__=\"TextEditor\",h.init_TextEditor();class E extends d{_createInput(){return r.select()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild(r.option({value:e},e));this.focus()}}i.SelectEditorView=E,E.__name__=\"SelectEditorView\";class V extends o{static init_SelectEditor(){this.prototype.default_view=E,this.define({options:[s.Array,[]]})}}i.SelectEditor=V,V.__name__=\"SelectEditor\",V.init_SelectEditor();class m extends d{_createInput(){return r.input({type:\"text\"})}}i.PercentEditorView=m,m.__name__=\"PercentEditorView\";class f extends o{static init_PercentEditor(){this.prototype.default_view=m}}i.PercentEditor=f,f.__name__=\"PercentEditor\",f.init_PercentEditor();class x extends d{_createInput(){return r.input({type:\"checkbox\",value:\"true\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=x,x.__name__=\"CheckboxEditorView\";class w extends o{static init_CheckboxEditor(){this.prototype.default_view=x}}i.CheckboxEditor=w,w.__name__=\"CheckboxEditor\",w.init_CheckboxEditor();class g extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseInt(this.getValue(),10)||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=g,g.__name__=\"IntEditorView\";class v extends o{static init_IntEditor(){this.prototype.default_view=g,this.define({step:[s.Number,1]})}}i.IntEditor=v,v.__name__=\"IntEditor\",v.init_IntEditor();class y extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseFloat(this.getValue())||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=y,y.__name__=\"NumberEditorView\";class b extends o{static init_NumberEditor(){this.prototype.default_view=y,this.define({step:[s.Number,.01]})}}i.NumberEditor=b,b.__name__=\"NumberEditor\",b.init_NumberEditor();class I extends d{_createInput(){return r.input({type:\"text\"})}}i.TimeEditorView=I,I.__name__=\"TimeEditorView\";class N extends o{static init_TimeEditor(){this.prototype.default_view=I}}i.TimeEditor=N,N.__name__=\"TimeEditor\",N.init_TimeEditor();class C extends d{_createInput(){return r.input({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=C,C.__name__=\"DateEditorView\";class D extends o{static init_DateEditor(){this.prototype.default_view=C}}i.DateEditor=D,D.__name__=\"DateEditor\",D.init_DateEditor()},\n      441: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),o=e(442),n=e(446),l=e(447),r=e(448),d=s.__importStar(e(18)),a=e(24),h=e(8),c=e(9),u=e(17),_=e(72),m=e(188),g=e(457),p=e(458),b=e(459),f=s.__importDefault(e(460)),w=s.__importDefault(e(461));i.DTINDEX_NAME=\"__bkdt_internal_index__\";class x{constructor(e,t){this.init(e,t)}init(e,t){if(i.DTINDEX_NAME in e.data)throw new Error(`special name ${i.DTINDEX_NAME} cannot be used as a data table column`);this.source=e,this.view=t,this.index=this.view.indices}getLength(){return this.index.length}getItem(e){const t={};for(const i of u.keys(this.source.data))t[i]=this.source.data[i][this.index[e]];return t[i.DTINDEX_NAME]=this.index[e],t}getField(e,t){return t==i.DTINDEX_NAME?this.index[e]:this.source.data[t][this.index[e]]}setField(e,t,i){const s=this.index[e];this.source.patch({[t]:[[s,i]]})}getItemMetadata(e){return null}getRecords(){return c.range(0,this.getLength()).map(e=>this.getItem(e))}sort(e){let t=e.map(e=>[e.sortCol.field,e.sortAsc?1:-1]);0==t.length&&(t=[[i.DTINDEX_NAME,1]]);const s=this.getRecords(),o=this.index.slice();this.index.sort((function(e,i){for(const[n,l]of t){const t=s[o.indexOf(e)][n],r=s[o.indexOf(i)][n],d=t==r?0:t>r?l:-l;if(0!=d)return d}return 0}))}}i.TableDataProvider=x,x.__name__=\"TableDataProvider\";class C extends p.WidgetView{constructor(){super(...arguments),this._in_selection_update=!1,this._warned_not_reorderable=!1}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.source.streaming,()=>this.updateGrid()),this.connect(this.model.source.patching,()=>this.updateGrid()),this.connect(this.model.source.change,()=>this.updateGrid()),this.connect(this.model.source.properties.data.change,()=>this.updateGrid()),this.connect(this.model.source.selected.change,()=>this.updateSelection()),this.connect(this.model.source.selected.properties.indices.change,()=>this.updateSelection())}remove(){var e;null===(e=this.grid)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),f.default,w.default]}_update_layout(){this.layout=new m.LayoutItem,this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.grid.resizeCanvas()}updateGrid(){if(this.model.view.compute_indices(),this.data.init(this.model.source,this.model.view),this.model.sortable){const e=this.grid.getColumns(),t=this.grid.getSortColumns().map(t=>({sortCol:{field:e[this.grid.getColumnIndex(t.columnId)].field},sortAsc:t.sortAsc}));this.data.sort(t)}this.grid.invalidate(),this.grid.render()}updateSelection(){if(this._in_selection_update)return;const{selected:e}=this.model.source,t=e.indices.map(e=>this.data.index.indexOf(e)).sort();this._in_selection_update=!0,this.grid.setSelectedRows(t),this._in_selection_update=!1;const i=this.grid.getViewport(),s=this.model.get_scroll_index(i,t);null!=s&&this.grid.scrollRowToTop(s)}newIndexColumn(){return{id:a.uniqueId(),name:this.model.index_header,field:i.DTINDEX_NAME,width:this.model.index_width,behavior:\"select\",cannotTriggerInsert:!0,resizable:!1,selectable:!1,sortable:!0,cssClass:b.bk_cell_index,headerCssClass:b.bk_header_index}}css_classes(){return super.css_classes().concat(b.bk_data_table)}render(){let e,t=this.model.columns.map(e=>Object.assign(Object.assign({},e.toColumn()),{parent:this}));if(\"checkbox\"==this.model.selectable&&(e=new n.CheckboxSelectColumn({cssClass:b.bk_cell_select}),t.unshift(e.getColumnDefinition())),null!=this.model.index_position){const e=this.model.index_position,i=this.newIndexColumn();-1==e?t.push(i):e<-1?t.splice(e+1,0,i):t.splice(e,0,i)}let{reorderable:i}=this.model;!i||\"undefined\"!=typeof $&&null!=$.fn&&null!=$.fn.sortable||(this._warned_not_reorderable||(_.logger.warn(\"jquery-ui is required to enable DataTable.reorderable\"),this._warned_not_reorderable=!0),i=!1);const s={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:i,forceFitColumns:this.model.fit_columns,multiColumnSort:this.model.sortable,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height};if(this.data=new x(this.model.source,this.model.view),this.grid=new r.Grid(this.el,this.data,t,s),this.grid.onSort.subscribe((e,i)=>{this.model.sortable&&(t=i.sortCols,this.data.sort(t),this.grid.invalidate(),this.updateSelection(),this.grid.render(),this.model.header_row||this._hide_header(),this.model.update_sort_columns(t))}),!1!==this.model.selectable){this.grid.setSelectionModel(new o.RowSelectionModel({selectActiveRow:null==e})),null!=e&&this.grid.registerPlugin(e);const t={dataItemColumnValueExtractor(e,t){let i=e[t.field];return h.isString(i)&&(i=i.replace(/\\n/g,\"\\\\n\")),i},includeHeaderWhenCopying:!1};this.grid.registerPlugin(new l.CellExternalCopyManager(t)),this.grid.onSelectedRowsChanged.subscribe((e,t)=>{this._in_selection_update||(this.model.source.selected.indices=t.rows.map(e=>this.data.index[e]))}),this.updateSelection(),this.model.header_row||this._hide_header()}}_hide_header(){for(const e of Array.from(this.el.querySelectorAll(\".slick-header-columns\")))e.style.height=\"0px\";this.grid.resizeCanvas()}}i.DataTableView=C,C.__name__=\"DataTableView\";class D extends g.TableWidget{constructor(e){super(e),this._sort_columns=[]}get sort_columns(){return this._sort_columns}static init_DataTable(){this.prototype.default_view=C,this.define({columns:[d.Array,[]],fit_columns:[d.Boolean,!0],sortable:[d.Boolean,!0],reorderable:[d.Boolean,!0],editable:[d.Boolean,!1],selectable:[d.Any,!0],index_position:[d.Int,0],index_header:[d.String,\"#\"],index_width:[d.Int,40],scroll_to_selection:[d.Boolean,!0],header_row:[d.Boolean,!0],row_height:[d.Int,25]}),this.override({width:600,height:400})}update_sort_columns(e){return this._sort_columns=e.map(e=>({field:e.sortCol.field,sortAsc:e.sortAsc})),null}get_scroll_index(e,t){return this.scroll_to_selection&&0!=t.length?c.some(t,t=>e.top<=t&&t<=e.bottom)?null:Math.max(0,Math.min(...t)-1):null}}i.DataTable=D,D.__name__=\"DataTable\",D.init_DataTable()},\n      442: function _(e,t,n){var o=e(443),r=e(445);t.exports={RowSelectionModel:function(e){var t,n,l,i=[],c=this,u=new r.EventHandler,s={selectActiveRow:!0};function a(e){return function(){n||(n=!0,e.apply(this,arguments),n=!1)}}function f(e){for(var t=[],n=0;n<e.length;n++)for(var o=e[n].fromRow;o<=e[n].toRow;o++)t.push(o);return t}function h(e){for(var n=[],o=t.getColumns().length-1,l=0;l<e.length;l++)n.push(new r.Range(e[l],0,e[l],o));return n}function w(){return f(i)}function g(e){(i&&0!==i.length||e&&0!==e.length)&&(i=e,c.onSelectedRangesChanged.notify(i))}function v(e,n){l.selectActiveRow&&null!=n.row&&g([new r.Range(n.row,0,n.row,t.getColumns().length-1)])}function p(e){var n=t.getActiveCell();if(t.getOptions().multiSelect&&n&&e.shiftKey&&!e.ctrlKey&&!e.altKey&&!e.metaKey&&(e.which==r.keyCode.UP||e.which==r.keyCode.DOWN)){var o=w();o.sort((function(e,t){return e-t})),o.length||(o=[n.row]);var l,i=o[0],c=o[o.length-1];if((l=e.which==r.keyCode.DOWN?n.row<c||i==c?++c:++i:n.row<c?--c:--i)>=0&&l<t.getDataLength())t.scrollRowIntoView(l),g(h(function(e,t){var n,o=[];for(n=e;n<=t;n++)o.push(n);for(n=t;n<e;n++)o.push(n);return o}(i,c)));e.preventDefault(),e.stopPropagation()}}function y(e){var n=t.getCellFromEvent(e);if(!n||!t.canCellBeActive(n.row,n.cell))return!1;if(!t.getOptions().multiSelect||!e.ctrlKey&&!e.shiftKey&&!e.metaKey)return!1;var r=f(i),l=o.inArray(n.row,r);if(-1===l&&(e.ctrlKey||e.metaKey))r.push(n.row),t.setActiveCell(n.row,n.cell);else if(-1!==l&&(e.ctrlKey||e.metaKey))r=o.grep(r,(function(e,t){return e!==n.row})),t.setActiveCell(n.row,n.cell);else if(r.length&&e.shiftKey){var c=r.pop(),u=Math.min(n.row,c),s=Math.max(n.row,c);r=[];for(var a=u;a<=s;a++)a!==c&&r.push(a);r.push(c),t.setActiveCell(n.row,n.cell)}return g(h(r)),e.stopImmediatePropagation(),!0}o.extend(this,{getSelectedRows:w,setSelectedRows:function(e){g(h(e))},getSelectedRanges:function(){return i},setSelectedRanges:g,init:function(n){l=o.extend(!0,{},s,e),t=n,u.subscribe(t.onActiveCellChanged,a(v)),u.subscribe(t.onKeyDown,a(p)),u.subscribe(t.onClick,a(y))},destroy:function(){u.unsubscribeAll()},onSelectedRangesChanged:new r.Event})}}},\n      443: function _(e,n,f){n.exports=\"undefined\"!=typeof $?$:e(444)},\n      444: function _(e,t,n){\n      /*!\n           * jQuery JavaScript Library v3.5.0\n           * https://jquery.com/\n           *\n           * Includes Sizzle.js\n           * https://sizzlejs.com/\n           *\n           * Copyright JS Foundation and other contributors\n           * Released under the MIT license\n           * https://jquery.org/license\n           *\n           * Date: 2020-04-10T15:07Z\n           */\n      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e=t.getColumns(),o=0;o<e.length;o++)e[o].id==d.columnId&&(m=o)}return m}()),t.focus()}function b(e,o){if(o.column.id==d.columnId&&l(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();if(l(e.target).is(\":checked\")){for(var c=[],n=0;n<t.getDataLength();n++)c.push(n);t.setSelectedRows(c)}else t.setSelectedRows([]);e.stopPropagation(),e.stopImmediatePropagation()}}var m=null;function g(){return Math.round(1e7*Math.random())}function k(e,t,o,l,c){var n=g()+e;return c?i[e]?\"<input id='selector\"+n+\"' type='checkbox' checked='checked'><label for='selector\"+n+\"'></label>\":\"<input id='selector\"+n+\"' type='checkbox'><label for='selector\"+n+\"'></label>\":null}l.extend(this,{init:function(e){t=e,n.subscribe(t.onSelectedRowsChanged,u).subscribe(t.onClick,f).subscribe(t.onKeyDown,h),d.hideInFilterHeaderRow||function(e){e.onHeaderRowCellRendered.subscribe((function(e,t){\"sel\"===t.column.field&&(l(t.node).empty(),l(\"<span id='filter-checkbox-selectall-container'><input id='header-filter-selector\"+o+\"' type='checkbox'><label for='header-filter-selector\"+o+\"'></label></span>\").appendTo(t.node).on(\"click\",(function(e){b(e,t)})))}))}(e),d.hideInColumnTitleRow||n.subscribe(t.onHeaderClick,b)},destroy:function(){n.unsubscribeAll()},deSelectRows:function(e){var o,c=e.length,n=[];for(o=0;o<c;o++)i[e[o]]&&(n[n.length]=e[o]);t.setSelectedRows(l.grep(t.getSelectedRows(),(function(e){return n.indexOf(e)<0})))},selectRows:function(e){var o,l=e.length,c=[];for(o=0;o<l;o++)i[e[o]]||(c[c.length]=e[o]);t.setSelectedRows(t.getSelectedRows().concat(c))},getColumnDefinition:function(){return{id:d.columnId,name:d.hideSelectAllCheckbox||d.hideInColumnTitleRow?\"\":\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",toolTip:d.toolTip,field:\"sel\",width:d.width,resizable:!1,sortable:!1,cssClass:d.cssClass,hideSelectAllCheckbox:d.hideSelectAllCheckbox,formatter:k}},getOptions:function(){return d},setOptions:function(e){if((d=l.extend(!0,{},d,e)).hideSelectAllCheckbox)a(),s();else if(d.hideInColumnTitleRow?a():(r?t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox' checked='checked'><label for='header-selector\"+o+\"'></label>\",d.toolTip):t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",d.toolTip),n.subscribe(t.onHeaderClick,b)),d.hideInFilterHeaderRow)s();else{var c=l(\"#filter-checkbox-selectall-container\");c.show(),c.find('input[type=\"checkbox\"]').prop(\"checked\",r)}}})}}},\n      447: function _(e,t,o){var l=e(443),n=e(445),a=n.keyCode;t.exports={CellExternalCopyManager:function(e){var t,o,r=this,i=e||{},s=i.copiedCellStyleLayerKey||\"copy-manager\",u=i.copiedCellStyle||\"copied\",c=0,d=i.bodyElement||document.body,f=i.onCopyInit||null,h=i.onCopySuccess||null;function C(e){if(i.headerColumnValueExtractor){var t=i.headerColumnValueExtractor(e);if(t)return t}return e.name}function m(e,o,n){if(i.dataItemColumnValueExtractor){var a=i.dataItemColumnValueExtractor(e,o);if(a)return a}var r=\"\";if(o.editor){var s={container:l(\"<p>\"),column:o,position:{top:0,left:0},grid:t,event:n},u=new o.editor(s);u.loadValue(e),r=u.serializeValue(),u.destroy()}else r=e[o.field];return r}function g(e,o,n){if(i.dataItemColumnValueSetter)return i.dataItemColumnValueSetter(e,o,n);if(o.editor){var a={container:l(\"body\"),column:o,position:{top:0,left:0},grid:t},r=new o.editor(a);r.loadValue(e),r.applyValue(e,n),r.destroy()}else e[o.field]=n}function p(e){var t=document.createElement(\"textarea\");return t.style.position=\"absolute\",t.style.left=\"-1000px\",t.style.top=document.body.scrollTop+\"px\",t.value=e,d.appendChild(t),t.select(),t}function y(e,l){var n;if(!t.getEditorLock().isActive()||t.getOptions().autoEdit){if(e.which==a.ESC&&o&&(e.preventDefault(),w(),r.onCopyCancelled.notify({ranges:o}),o=null),(e.which===a.C||e.which===a.INSERT)&&(e.ctrlKey||e.metaKey)&&!e.shiftKey&&(f&&f.call(),0!=(n=t.getSelectionModel().getSelectedRanges()).length)){o=n,v(n),r.onCopyCells.notify({ranges:n});for(var s=t.getColumns(),u=\"\",c=0;c<n.length;c++){for(var y=n[c],D=[],S=y.fromRow;S<y.toRow+1;S++){var R=[],x=t.getDataItem(S);if(\"\"==D&&i.includeHeaderWhenCopying){for(var V=[],E=y.fromCell;E<y.toCell+1;E++)s[E].name.length>0&&V.push(C(s[E]));D.push(V.join(\"\\t\"))}for(E=y.fromCell;E<y.toCell+1;E++)R.push(m(x,s[E],e));D.push(R.join(\"\\t\"))}u+=D.join(\"\\r\\n\")+\"\\r\\n\"}if(window.clipboardData)return window.clipboardData.setData(\"Text\",u),!0;var b=document.activeElement;if((M=p(u)).focus(),setTimeout((function(){d.removeChild(M),b?b.focus():console.log(\"Not element to restore focus to after copy?\")}),100),h){var I=0;I=1===n.length?n[0].toRow+1-n[0].fromRow:n.length,h.call(this,I)}return!1}if(!i.readOnlyMode&&(e.which===a.V&&(e.ctrlKey||e.metaKey)&&!e.shiftKey||e.which===a.INSERT&&e.shiftKey&&!e.ctrlKey)){var M=p(\"\");return setTimeout((function(){!function(e,t){var o=e.getColumns(),l=t.value.split(/[\\n\\f\\r]/);\"\"==l[l.length-1]&&l.pop();var n=[],a=0;d.removeChild(t);for(var s=0;s<l.length;s++)\"\"!=l[s]?n[a++]=l[s].split(\"\\t\"):n[s]=[\"\"];var u=e.getActiveCell(),c=e.getSelectionModel().getSelectedRanges(),f=c&&c.length?c[0]:null,h=null,C=null;if(f)h=f.fromRow,C=f.fromCell;else{if(!u)return;h=u.row,C=u.cell}var m=!1,p=n.length,y=n.length?n[0].length:0;1==n.length&&1==n[0].length&&f&&(m=!0,p=f.toRow-f.fromRow+1,y=f.toCell-f.fromCell+1);var w=e.getData().length-h,D=0;if(w<p&&i.newRowCreator){var S=e.getData();for(D=1;D<=p-w;D++)S.push({});e.setData(S),e.render()}var R=h+p>e.getDataLength();if(i.newRowCreator&&R){var x=h+p-e.getDataLength();i.newRowCreator(x)}var V={isClipboardCommand:!0,clippedRange:n,oldValues:[],cellExternalCopyManager:r,_options:i,setDataItemValueForColumn:g,markCopySelection:v,oneCellToMultiple:m,activeRow:h,activeCell:C,destH:p,destW:y,maxDestY:e.getDataLength(),maxDestX:e.getColumns().length,h:0,w:0,execute:function(){this.h=0;for(var t=0;t<this.destH;t++){this.oldValues[t]=[],this.w=0,this.h++;for(var l=0;l<this.destW;l++){this.w++;var a=h+t,r=C+l;if(a<this.maxDestY&&r<this.maxDestX){e.getCellNode(a,r);var i=e.getDataItem(a);this.oldValues[t][l]=i[o[r].field],m?this.setDataItemValueForColumn(i,o[r],n[0][0]):this.setDataItemValueForColumn(i,o[r],n[t]?n[t][l]:\"\"),e.updateCell(a,r),e.onCellChange.notify({row:a,cell:r,item:i,grid:e})}}}var s={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};this.markCopySelection([s]),e.getSelectionModel().setSelectedRanges([s]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[s]})},undo:function(){for(var t=0;t<this.destH;t++)for(var l=0;l<this.destW;l++){var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var r=e.getDataItem(n);m?this.setDataItemValueForColumn(r,o[a],this.oldValues[0][0]):this.setDataItemValueForColumn(r,o[a],this.oldValues[t][l]),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:r,grid:e})}}var i={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};if(this.markCopySelection([i]),e.getSelectionModel().setSelectedRanges([i]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[i]}),D>1){for(var s=e.getData();D>1;D--)s.splice(s.length-1,1);e.setData(s),e.render()}}};i.clipboardCommandHandler?i.clipboardCommandHandler(V):V.execute()}(t,M)}),100),!1}}}function v(e){w();for(var o=t.getColumns(),l={},n=0;n<e.length;n++)for(var a=e[n].fromRow;a<=e[n].toRow;a++){l[a]={};for(var i=e[n].fromCell;i<=e[n].toCell&&i<o.length;i++)l[a][o[i].id]=u}t.setCellCssStyles(s,l),clearTimeout(c),c=setTimeout((function(){r.clearCopySelection()}),2e3)}function w(){t.removeCellCssStyles(s)}l.extend(this,{init:function(e){(t=e).onKeyDown.subscribe(y);var o=e.getSelectionModel();if(!o)throw new Error(\"Selection model is mandatory for this plugin. Please set a selection model on the grid before adding this plugin: grid.setSelectionModel(new Slick.CellSelectionModel())\");o.onSelectedRangesChanged.subscribe((function(e,o){t.focus()}))},destroy:function(){t.onKeyDown.unsubscribe(y)},clearCopySelection:w,handleKeyDown:y,onCopyCells:new n.Event,onCopyCancelled:new n.Event,onPasteCells:new n.Event,setIncludeHeaderWhenCopying:function(e){i.includeHeaderWhenCopying=e}})}}},\n      448: function _(r,t,o){var _=r(1);_.__exportStar(r(445),t.exports),_.__exportStar(r(449),t.exports),_.__exportStar(r(452),t.exports),_.__exportStar(r(453),t.exports),_.__exportStar(r(454),t.exports),_.__exportStar(r(455),t.exports),_.__exportStar(r(456),t.exports)},\n      449: function _(require,module,exports){\n      /**\n           * @license\n           * (c) 2009-2016 Michael Leibman\n           * michael{dot}leibman{at}gmail{dot}com\n           * http://github.com/mleibman/slickgrid\n           *\n           * Distributed under MIT license.\n           * All rights reserved.\n           *\n           * SlickGrid v2.3\n           *\n           * NOTES:\n           *     Cell/row DOM manipulations are done directly bypassing jQuery's DOM manipulation methods.\n           *     This increases the speed dramatically, but can only be done safely because there are no event handlers\n           *     or data associated with any cell/row DOM nodes.  Cell editors must make sure they implement .destroy()\n           *     and do proper cleanup.\n           */\n      var $=require(443),Slick=require(445),scrollbarDimensions,maxSupportedCssHeight;function SlickGrid(container,data,columns,options){$.fn.drag||require(450),$.fn.drop||require(451);var defaults={alwaysShowVerticalScroll:!1,explicitInitialization:!1,rowHeight:25,defaultColumnWidth:80,enableAddRow:!1,leaveSpaceForNewRows:!1,editable:!1,autoEdit:!0,suppressActiveCellChangeOnEdit:!1,enableCellNavigation:!0,enableColumnReorder:!0,asyncEditorLoading:!1,asyncEditorLoadDelay:100,forceFitColumns:!1,enableAsyncPostRender:!1,asyncPostRenderDelay:50,enableAsyncPostRenderCleanup:!1,asyncPostRenderCleanupDelay:40,autoHeight:!1,editorLock:Slick.GlobalEditorLock,showHeaderRow:!1,headerRowHeight:25,createFooterRow:!1,showFooterRow:!1,footerRowHeight:25,createPreHeaderPanel:!1,showPreHeaderPanel:!1,preHeaderPanelHeight:25,showTopPanel:!1,topPanelHeight:25,formatterFactory:null,editorFactory:null,cellFlashingCssClass:\"flashing\",selectedCellCssClass:\"selected\",multiSelect:!0,enableTextSelectionOnCells:!1,dataItemColumnValueExtractor:null,fullWidthRows:!1,multiColumnSort:!1,numberedMultiColumnSort:!1,tristateMultiColumnSort:!1,sortColNumberInSeparateSpan:!1,defaultFormatter,forceSyncScrolling:!1,addNewRowCssClass:\"new-row\",preserveCopiedSelectionOnPaste:!1,showCellSelection:!0,viewportClass:null,minRowBuffer:3,emulatePagingWhenScrolling:!0,editorCellNavOnLRKeys:!1},columnDefaults={name:\"\",resizable:!0,sortable:!1,minWidth:30,rerenderOnResize:!1,headerCssClass:null,defaultSortAsc:!0,focusable:!0,selectable:!0},th,h,ph,n,cj,page=0,offset=0,vScrollDir=1,initialized=!1,$container,uid=\"slickgrid_\"+Math.round(1e6*Math.random()),self=this,$focusSink,$focusSink2,$headerScroller,$headers,$headerRow,$headerRowScroller,$headerRowSpacer,$footerRow,$footerRowScroller,$footerRowSpacer,$preHeaderPanel,$preHeaderPanelScroller,$preHeaderPanelSpacer,$topPanelScroller,$topPanel,$viewport,$canvas,$style,$boundAncestors,stylesheet,columnCssRulesL,columnCssRulesR,viewportH,viewportW,canvasWidth,viewportHasHScroll,viewportHasVScroll,headerColumnWidthDiff=0,headerColumnHeightDiff=0,cellWidthDiff=0,cellHeightDiff=0,jQueryNewWidthBehaviour=!1,absoluteColumnMinWidth,tabbingDirection=1,activePosX,activeRow,activeCell,activeCellNode=null,currentEditor=null,serializedEditorValue,editController,rowsCache={},renderedRows=0,numVisibleRows,prevScrollTop=0,scrollTop=0,lastRenderedScrollTop=0,lastRenderedScrollLeft=0,prevScrollLeft=0,scrollLeft=0,selectionModel,selectedRows=[],plugins=[],cellCssClasses={},columnsById={},sortColumns=[],columnPosLeft=[],columnPosRight=[],pagingActive=!1,pagingIsLastPage=!1,scrollThrottle=ActionThrottle(render,50),h_editorLoader=null,h_render=null,h_postrender=null,h_postrenderCleanup=null,postProcessedRows={},postProcessToRow=null,postProcessFromRow=null,postProcessedCleanupQueue=[],postProcessgroupId=0,counter_rows_rendered=0,counter_rows_removed=0,rowNodeFromLastMouseWheelEvent,zombieRowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent,cssShow={position:\"absolute\",visibility:\"hidden\",display:\"block\"},$hiddenParents,oldProps=[],columnResizeDragging=!1;function init(){if(($container=container instanceof $?container:$(container)).length<1)throw new Error(\"SlickGrid requires a valid container, \"+container+\" does not exist in the DOM.\");cacheCssForHiddenInit(),maxSupportedCssHeight=maxSupportedCssHeight||getMaxSupportedCssHeight(),options=$.extend({},defaults,options),validateAndEnforceOptions(),columnDefaults.width=options.defaultColumnWidth,columnsById={};for(var e=0;e<columns.length;e++){var o=columns[e]=$.extend({},columnDefaults,columns[e]);columnsById[o.id]=e,o.minWidth&&o.width<o.minWidth&&(o.width=o.minWidth),o.maxWidth&&o.width>o.maxWidth&&(o.width=o.maxWidth)}if(options.enableColumnReorder&&!$.fn.sortable)throw new Error(\"SlickGrid's 'enableColumnReorder = true' option requires jquery-ui.sortable module to be loaded\");editController={commitCurrentEdit,cancelCurrentEdit},$container.empty().css(\"overflow\",\"hidden\").css(\"outline\",0).addClass(uid).addClass(\"ui-widget\"),/relative|absolute|fixed/.test($container.css(\"position\"))||$container.css(\"position\",\"relative\"),$focusSink=$(\"<div tabIndex='0' hideFocus style='position:fixed;width:0;height:0;top:0;left:0;outline:0;'></div>\").appendTo($container),options.createPreHeaderPanel&&($preHeaderPanelScroller=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($container),$preHeaderPanel=$(\"<div />\").appendTo($preHeaderPanelScroller),$preHeaderPanelSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScroller),options.showPreHeaderPanel||$preHeaderPanelScroller.hide()),$headerScroller=$(\"<div class='slick-header ui-state-default' />\").appendTo($container),$headers=$(\"<div class='slick-header-columns' style='left:-1000px' />\").appendTo($headerScroller),$headerRowScroller=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($container),$headerRow=$(\"<div class='slick-headerrow-columns' />\").appendTo($headerRowScroller),$headerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScroller),$topPanelScroller=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($container),$topPanel=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScroller),options.showTopPanel||$topPanelScroller.hide(),options.showHeaderRow||$headerRowScroller.hide(),($viewport=$(\"<div class='slick-viewport' style='width:100%;overflow:auto;outline:0;position:relative;;'>\").appendTo($container)).css(\"overflow-y\",options.alwaysShowVerticalScroll?\"scroll\":options.autoHeight?\"hidden\":\"auto\"),$viewport.css(\"overflow-x\",options.forceFitColumns?\"hidden\":\"auto\"),options.viewportClass&&$viewport.toggleClass(options.viewportClass,!0),$canvas=$(\"<div class='grid-canvas' />\").appendTo($viewport),scrollbarDimensions=scrollbarDimensions||measureScrollbar(),$preHeaderPanelSpacer&&$preHeaderPanelSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headers.width(getHeadersWidth()),$headerRowSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),options.createFooterRow&&($footerRowScroller=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($container),$footerRow=$(\"<div class='slick-footerrow-columns' />\").appendTo($footerRowScroller),$footerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScroller),options.showFooterRow||$footerRowScroller.hide()),$focusSink2=$focusSink.clone().appendTo($container),options.explicitInitialization||finishInitialization()}function finishInitialization(){initialized||(initialized=!0,viewportW=parseFloat($.css($container[0],\"width\",!0)),measureCellPaddingAndBorder(),disableSelection($headers),options.enableTextSelectionOnCells||$viewport.on(\"selectstart.ui\",(function(e){return $(e.target).is(\"input,textarea\")})),updateColumnCaches(),createColumnHeaders(),setupColumnSort(),createCssRules(),resizeCanvas(),bindAncestorScrollEvents(),$container.on(\"resize.slickgrid\",resizeCanvas),$viewport.on(\"scroll\",handleScroll),$headerScroller.on(\"contextmenu\",handleHeaderContextMenu).on(\"click\",handleHeaderClick).on(\"mouseenter\",\".slick-header-column\",handleHeaderMouseEnter).on(\"mouseleave\",\".slick-header-column\",handleHeaderMouseLeave),$headerRowScroller.on(\"scroll\",handleHeaderRowScroll),options.createFooterRow&&$footerRowScroller.on(\"scroll\",handleFooterRowScroll),options.createPreHeaderPanel&&$preHeaderPanelScroller.on(\"scroll\",handlePreHeaderPanelScroll),$focusSink.add($focusSink2).on(\"keydown\",handleKeyDown),$canvas.on(\"keydown\",handleKeyDown).on(\"click\",handleClick).on(\"dblclick\",handleDblClick).on(\"contextmenu\",handleContextMenu).on(\"draginit\",handleDragInit).on(\"dragstart\",{distance:3},handleDragStart).on(\"drag\",handleDrag).on(\"dragend\",handleDragEnd).on(\"mouseenter\",\".slick-cell\",handleMouseEnter).on(\"mouseleave\",\".slick-cell\",handleMouseLeave),navigator.userAgent.toLowerCase().match(/webkit/)&&navigator.userAgent.toLowerCase().match(/macintosh/)&&$canvas.on(\"mousewheel\",handleMouseWheel),restoreCssFromHiddenInit())}function cacheCssForHiddenInit(){($hiddenParents=$container.parents().addBack().not(\":visible\")).each((function(){var e={};for(var o in cssShow)e[o]=this.style[o],this.style[o]=cssShow[o];oldProps.push(e)}))}function restoreCssFromHiddenInit(){$hiddenParents.each((function(e){var o=oldProps[e];for(var t in cssShow)this.style[t]=o[t]}))}function registerPlugin(e){plugins.unshift(e),e.init(self)}function unregisterPlugin(e){for(var o=plugins.length;o>=0;o--)if(plugins[o]===e){plugins[o].destroy&&plugins[o].destroy(),plugins.splice(o,1);break}}function setSelectionModel(e){selectionModel&&(selectionModel.onSelectedRangesChanged.unsubscribe(handleSelectedRangesChanged),selectionModel.destroy&&selectionModel.destroy()),(selectionModel=e)&&(selectionModel.init(self),selectionModel.onSelectedRangesChanged.subscribe(handleSelectedRangesChanged))}function getSelectionModel(){return selectionModel}function getCanvasNode(){return $canvas[0]}function measureScrollbar(){var e=$('<div class=\"'+$viewport.className+'\" style=\"position:absolute; top:-10000px; left:-10000px; overflow:auto; width:100px; height:100px;\"></div>').appendTo($viewport),o=$('<div style=\"width:200px; height:200px; overflow:auto;\"></div>').appendTo(e),t={width:e[0].offsetWidth-e[0].clientWidth,height:e[0].offsetHeight-e[0].clientHeight};return o.remove(),e.remove(),t}function getColumnTotalWidth(e){for(var o=0,t=0,l=columns.length;t<l;t++){o+=columns[t].width}return e&&(o+=scrollbarDimensions.width),o}function getHeadersWidth(){var e=getColumnTotalWidth(!options.autoHeight);return Math.max(e,viewportW)+1e3}function getCanvasWidth(){for(var e=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,o=0,t=columns.length;t--;)o+=columns[t].width;return options.fullWidthRows?Math.max(o,e):o}function updateCanvasWidth(e){var o=canvasWidth;(canvasWidth=getCanvasWidth())!=o&&($canvas.width(canvasWidth),$headerRow.width(canvasWidth),options.createFooterRow&&$footerRow.width(canvasWidth),options.createPreHeaderPanel&&$preHeaderPanel.width(canvasWidth),$headers.width(getHeadersWidth()),viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width);var t=canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0);$headerRowSpacer.width(t),options.createFooterRow&&$footerRowSpacer.width(t),options.createPreHeaderPanel&&$preHeaderPanelSpacer.width(t),(canvasWidth!=o||e)&&applyColumnWidths()}function disableSelection(e){e&&e.jquery&&e.attr(\"unselectable\",\"on\").css(\"MozUserSelect\",\"none\").on(\"selectstart.ui\",(function(){return!1}))}function getMaxSupportedCssHeight(){for(var e=1e6,o=navigator.userAgent.toLowerCase().match(/firefox/)?6e6:1e9,t=$(\"<div style='display:none' />\").appendTo(document.body);;){var l=2*e;if(t.css(\"height\",l),l>o||t.height()!==l)break;e=l}return t.remove(),e}function getUID(){return uid}function getHeaderColumnWidthDiff(){return headerColumnWidthDiff}function getScrollbarDimensions(){return scrollbarDimensions}function bindAncestorScrollEvents(){for(var e=$canvas[0];(e=e.parentNode)!=document.body&&null!=e;)if(e==$viewport[0]||e.scrollWidth!=e.clientWidth||e.scrollHeight!=e.clientHeight){var o=$(e);$boundAncestors=$boundAncestors?$boundAncestors.add(o):o,o.on(\"scroll.\"+uid,handleActiveCellPositionChange)}}function unbindAncestorScrollEvents(){$boundAncestors&&($boundAncestors.off(\"scroll.\"+uid),$boundAncestors=null)}function updateColumnHeader(e,o,t){if(initialized){var l=getColumnIndex(e);if(null!=l){var n=columns[l],r=$headers.children().eq(l);r&&(void 0!==o&&(columns[l].name=o),void 0!==t&&(columns[l].toolTip=t),trigger(self.onBeforeHeaderCellDestroy,{node:r[0],column:n,grid:self}),r.attr(\"title\",t||\"\").children().eq(0).html(o),trigger(self.onHeaderCellRendered,{node:r[0],column:n,grid:self}))}}}function getHeader(){return $headers[0]}function getHeaderColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headers.children().eq(o);return t&&t[0]}function getHeaderRow(){return $headerRow[0]}function getFooterRow(){return $footerRow[0]}function getPreHeaderPanel(){return $preHeaderPanel[0]}function getHeaderRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headerRow.children().eq(o);return t&&t[0]}function getFooterRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$footerRow.children().eq(o);return t&&t[0]}function createColumnHeaders(){function e(){$(this).addClass(\"ui-state-hover\")}function o(){$(this).removeClass(\"ui-state-hover\")}$headers.find(\".slick-header-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderCellDestroy,{node:this,column:e,grid:self})})),$headers.empty(),$headers.width(getHeadersWidth()),$headerRow.find(\".slick-headerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderRowCellDestroy,{node:this,column:e,grid:self})})),$headerRow.empty(),options.createFooterRow&&($footerRow.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e})})),$footerRow.empty());for(var t=0;t<columns.length;t++){var l=columns[t],n=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+l.name+\"</span>\").width(l.width-headerColumnWidthDiff).attr(\"id\",\"\"+uid+l.id).attr(\"title\",l.toolTip||\"\").data(\"column\",l).addClass(l.headerCssClass||\"\").appendTo($headers);if((options.enableColumnReorder||l.sortable)&&n.on(\"mouseenter\",e).on(\"mouseleave\",o),l.sortable&&(n.addClass(\"slick-header-sortable\"),n.append(\"<span class='slick-sort-indicator\"+(options.numberedMultiColumnSort&&!options.sortColNumberInSeparateSpan?\" slick-sort-indicator-numbered\":\"\")+\"' />\"),options.numberedMultiColumnSort&&options.sortColNumberInSeparateSpan&&n.append(\"<span class='slick-sort-indicator-numbered' />\")),trigger(self.onHeaderCellRendered,{node:n[0],column:l,grid:self}),options.showHeaderRow){var r=$(\"<div class='ui-state-default slick-headerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($headerRow);trigger(self.onHeaderRowCellRendered,{node:r[0],column:l,grid:self})}if(options.createFooterRow&&options.showFooterRow){var i=$(\"<div class='ui-state-default slick-footerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($footerRow);trigger(self.onFooterRowCellRendered,{node:i[0],column:l})}}setSortColumns(sortColumns),setupColumnResize(),options.enableColumnReorder&&(\"function\"==typeof options.enableColumnReorder?options.enableColumnReorder(self,$headers,headerColumnWidthDiff,setColumns,setupColumnResize,columns,getColumnIndex,uid,trigger):setupColumnReorder())}function setupColumnSort(){$headers.click((function(e){if(!columnResizeDragging&&(e.metaKey=e.metaKey||e.ctrlKey,!$(e.target).hasClass(\"slick-resizable-handle\"))){var o=$(e.target).closest(\".slick-header-column\");if(o.length){var t=o.data(\"column\");if(t.sortable){if(!getEditorLock().commitCurrentEdit())return;for(var l=null,n=0;n<sortColumns.length;n++)if(sortColumns[n].columnId==t.id){(l=sortColumns[n]).sortAsc=!l.sortAsc;break}var r=!!l;options.tristateMultiColumnSort?(l||(l={columnId:t.id,sortAsc:t.defaultSortAsc}),r&&l.sortAsc&&(sortColumns.splice(n,1),l=null),options.multiColumnSort||(sortColumns=[]),!l||r&&options.multiColumnSort||sortColumns.push(l)):e.metaKey&&options.multiColumnSort?l&&sortColumns.splice(n,1):((e.shiftKey||e.metaKey)&&options.multiColumnSort||(sortColumns=[]),l?0==sortColumns.length&&sortColumns.push(l):(l={columnId:t.id,sortAsc:t.defaultSortAsc},sortColumns.push(l))),setSortColumns(sortColumns),options.multiColumnSort?trigger(self.onSort,{multiColumnSort:!0,sortCols:$.map(sortColumns,(function(e){return{sortCol:columns[getColumnIndex(e.columnId)],sortAsc:e.sortAsc}}))},e):trigger(self.onSort,{multiColumnSort:!1,sortCol:sortColumns.length>0?t:null,sortAsc:!(sortColumns.length>0)||sortColumns[0].sortAsc},e)}}}}))}function setupColumnReorder(){$headers.filter(\":ui-sortable\").sortable(\"destroy\"),$headers.sortable({containment:\"parent\",distance:3,axis:\"x\",cursor:\"default\",tolerance:\"intersection\",helper:\"clone\",placeholder:\"slick-sortable-placeholder ui-state-default slick-header-column\",start:function(e,o){o.placeholder.width(o.helper.outerWidth()-headerColumnWidthDiff),$(o.helper).addClass(\"slick-header-column-active\")},beforeStop:function(e,o){$(o.helper).removeClass(\"slick-header-column-active\")},stop:function(e){if(getEditorLock().commitCurrentEdit()){for(var o=$headers.sortable(\"toArray\"),t=[],l=0;l<o.length;l++)t.push(columns[getColumnIndex(o[l].replace(uid,\"\"))]);setColumns(t),trigger(self.onColumnsReordered,{}),e.stopPropagation(),setupColumnResize()}else $(this).sortable(\"cancel\")}})}function setupColumnResize(){var e,o,t,l,n,r,i,s;(l=$headers.children()).find(\".slick-resizable-handle\").remove(),l.each((function(e,o){e>=columns.length||columns[e].resizable&&(void 0===i&&(i=e),s=e)})),void 0!==i&&l.each((function(a,c){a>=columns.length||a<i||options.forceFitColumns&&a>=s||($(c),$(\"<div class='slick-resizable-handle' />\").appendTo(c).on(\"dragstart\",(function(i,s){if(!getEditorLock().commitCurrentEdit())return!1;t=i.pageX,$(this).parent().addClass(\"slick-header-column-active\");var c=null,d=null;if(l.each((function(e,o){e>=columns.length||(columns[e].previousWidth=$(o).outerWidth())})),options.forceFitColumns)for(c=0,d=0,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(null!==d&&(o.maxWidth?d+=o.maxWidth-o.previousWidth:d=null),c+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));var u=0,h=0;for(e=0;e<=a;e++)(o=columns[e]).resizable&&(null!==h&&(o.maxWidth?h+=o.maxWidth-o.previousWidth:h=null),u+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));null===c&&(c=1e5),null===u&&(u=1e5),null===d&&(d=1e5),null===h&&(h=1e5),r=t+Math.min(c,h),n=t-Math.min(u,d)})).on(\"drag\",(function(l,i){columnResizeDragging=!0;var s,c,d=Math.min(r,Math.max(n,l.pageX))-t;if(d<0){for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0))}else{for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0))}applyColumnHeaderWidths(),options.syncColumnCellResize&&applyColumnWidths()})).on(\"dragend\",(function(t,n){var r;for($(this).parent().removeClass(\"slick-header-column-active\"),e=0;e<columns.length;e++)o=columns[e],r=$(l[e]).outerWidth(),o.previousWidth!==r&&o.rerenderOnResize&&invalidateAllRows();updateCanvasWidth(!0),render(),trigger(self.onColumnsResized,{}),setTimeout((function(){columnResizeDragging=!1}),300)})))}))}function getVBoxDelta(e){var o=0;return $.each([\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],(function(t,l){o+=parseFloat(e.css(l))||0})),o}function measureCellPaddingAndBorder(){var e,o=[\"borderLeftWidth\",\"borderRightWidth\",\"paddingLeft\",\"paddingRight\"],t=[\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],l=$.fn.jquery.split(\".\");jQueryNewWidthBehaviour=1==l[0]&&l[1]>=8||l[0]>=2,e=$(\"<div class='ui-state-default slick-header-column' style='visibility:hidden'>-</div>\").appendTo($headers),headerColumnWidthDiff=headerColumnHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){headerColumnWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){headerColumnHeightDiff+=parseFloat(e.css(t))||0}))),e.remove();var n=$(\"<div class='slick-row' />\").appendTo($canvas);e=$(\"<div class='slick-cell' id='' style='visibility:hidden'>-</div>\").appendTo(n),cellWidthDiff=cellHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){cellWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){cellHeightDiff+=parseFloat(e.css(t))||0}))),n.remove(),absoluteColumnMinWidth=Math.max(headerColumnWidthDiff,cellWidthDiff)}function createCssRules(){$style=$(\"<style type='text/css' rel='stylesheet' />\").appendTo($(\"head\"));for(var e=options.rowHeight-cellHeightDiff,o=[\".\"+uid+\" .slick-header-column { left: 1000px; }\",\".\"+uid+\" .slick-top-panel { height:\"+options.topPanelHeight+\"px; }\",\".\"+uid+\" .slick-preheader-panel { height:\"+options.preHeaderPanelHeight+\"px; }\",\".\"+uid+\" .slick-headerrow-columns { height:\"+options.headerRowHeight+\"px; }\",\".\"+uid+\" .slick-footerrow-columns { height:\"+options.footerRowHeight+\"px; }\",\".\"+uid+\" .slick-cell { height:\"+e+\"px; }\",\".\"+uid+\" .slick-row { height:\"+options.rowHeight+\"px; }\"],t=0;t<columns.length;t++)o.push(\".\"+uid+\" .l\"+t+\" { }\"),o.push(\".\"+uid+\" .r\"+t+\" { }\");$style[0].styleSheet?$style[0].styleSheet.cssText=o.join(\" \"):$style[0].appendChild(document.createTextNode(o.join(\" \")))}function getColumnCssRules(e){var o;if(!stylesheet){var t=document.styleSheets;for(o=0;o<t.length;o++)if((t[o].ownerNode||t[o].owningElement)==$style[0]){stylesheet=t[o];break}if(!stylesheet)throw new Error(\"Cannot find stylesheet.\");columnCssRulesL=[],columnCssRulesR=[];var l,n,r=stylesheet.cssRules||stylesheet.rules;for(o=0;o<r.length;o++){var i=r[o].selectorText;(l=/\\.l\\d+/.exec(i))?(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesL[n]=r[o]):(l=/\\.r\\d+/.exec(i))&&(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesR[n]=r[o])}}return{left:columnCssRulesL[e],right:columnCssRulesR[e]}}function removeCssRules(){$style.remove(),stylesheet=null}function destroy(){getEditorLock().cancelCurrentEdit(),trigger(self.onBeforeDestroy,{});for(var e=plugins.length;e--;)unregisterPlugin(plugins[e]);options.enableColumnReorder&&$headers.filter(\":ui-sortable\").sortable(\"destroy\"),unbindAncestorScrollEvents(),$container.off(\".slickgrid\"),removeCssRules(),$canvas.off(\"draginit dragstart dragend drag\"),$container.empty().removeClass(uid)}function trigger(e,o,t){return t=t||new Slick.EventData,(o=o||{}).grid=self,e.notify(o,t,self)}function getEditorLock(){return options.editorLock}function getEditController(){return editController}function getColumnIndex(e){return columnsById[e]}function autosizeColumns(){var e,o,t,l=[],n=0,r=0,i=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW;for(e=0;e<columns.length;e++)o=columns[e],l.push(o.width),r+=o.width,o.resizable&&(n+=o.width-Math.max(o.minWidth,absoluteColumnMinWidth));for(t=r;r>i&&n;){var s=(r-i)/n;for(e=0;e<columns.length&&r>i;e++){o=columns[e];var a=l[e];if(!(!o.resizable||a<=o.minWidth||a<=absoluteColumnMinWidth)){var c=Math.max(o.minWidth,absoluteColumnMinWidth),d=Math.floor(s*(a-c))||1;r-=d=Math.min(d,a-c),n-=d,l[e]-=d}}if(t<=r)break;t=r}for(t=r;r<i;){var u=i/r;for(e=0;e<columns.length&&r<i;e++){o=columns[e];var h,p=l[e];r+=h=!o.resizable||o.maxWidth<=p?0:Math.min(Math.floor(u*p)-p,o.maxWidth-p||1e6)||1,l[e]+=r<=i?h:0}if(t>=r)break;t=r}var g=!1;for(e=0;e<columns.length;e++)columns[e].rerenderOnResize&&columns[e].width!=l[e]&&(g=!0),columns[e].width=l[e];applyColumnHeaderWidths(),updateCanvasWidth(!0),trigger(self.onAutosizeColumns,{columns}),g&&(invalidateAllRows(),render())}function applyColumnHeaderWidths(){if(initialized){for(var e,o=0,t=$headers.children(),l=columns.length;o<l;o++)e=$(t[o]),jQueryNewWidthBehaviour?e.outerWidth()!==columns[o].width&&e.outerWidth(columns[o].width):e.width()!==columns[o].width-headerColumnWidthDiff&&e.width(columns[o].width-headerColumnWidthDiff);updateColumnCaches()}}function applyColumnWidths(){for(var e,o,t=0,l=0;l<columns.length;l++)e=columns[l].width,(o=getColumnCssRules(l)).left.style.left=t+\"px\",o.right.style.right=canvasWidth-t-e+\"px\",t+=columns[l].width}function setSortColumn(e,o){setSortColumns([{columnId:e,sortAsc:o}])}function setSortColumns(e){sortColumns=e;var o=options.numberedMultiColumnSort&&sortColumns.length>1,t=$headers.children();t.removeClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").removeClass(\"slick-sort-indicator-asc slick-sort-indicator-desc\"),t.find(\".slick-sort-indicator-numbered\").text(\"\"),$.each(sortColumns,(function(e,l){null==l.sortAsc&&(l.sortAsc=!0);var n=getColumnIndex(l.columnId);null!=n&&(t.eq(n).addClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").addClass(l.sortAsc?\"slick-sort-indicator-asc\":\"slick-sort-indicator-desc\"),o&&t.eq(n).find(\".slick-sort-indicator-numbered\").text(e+1))}))}function getSortColumns(){return sortColumns}function handleSelectedRangesChanged(e,o){selectedRows=[];for(var t={},l=0;l<o.length;l++)for(var n=o[l].fromRow;n<=o[l].toRow;n++){t[n]||(selectedRows.push(n),t[n]={});for(var r=o[l].fromCell;r<=o[l].toCell;r++)canCellBeSelected(n,r)&&(t[n][columns[r].id]=options.selectedCellCssClass)}setCellCssStyles(options.selectedCellCssClass,t),trigger(self.onSelectedRowsChanged,{rows:getSelectedRows()},e)}function getColumns(){return columns}function updateColumnCaches(){columnPosLeft=[],columnPosRight=[];for(var e=0,o=0,t=columns.length;o<t;o++)columnPosLeft[o]=e,columnPosRight[o]=e+columns[o].width,e+=columns[o].width}function setColumns(e){columns=e,columnsById={};for(var o=0;o<columns.length;o++){var t=columns[o]=$.extend({},columnDefaults,columns[o]);columnsById[t.id]=o,t.minWidth&&t.width<t.minWidth&&(t.width=t.minWidth),t.maxWidth&&t.width>t.maxWidth&&(t.width=t.maxWidth)}updateColumnCaches(),initialized&&(invalidateAllRows(),createColumnHeaders(),removeCssRules(),createCssRules(),resizeCanvas(),applyColumnWidths(),handleScroll())}function getOptions(){return options}function setOptions(e,o){getEditorLock().commitCurrentEdit()&&(makeActiveCellNormal(),options.enableAddRow!==e.enableAddRow&&invalidateRow(getDataLength()),options=$.extend(options,e),validateAndEnforceOptions(),$viewport.css(\"overflow-y\",options.autoHeight?\"hidden\":\"auto\"),o||render())}function validateAndEnforceOptions(){options.autoHeight&&(options.leaveSpaceForNewRows=!1)}function setData(e,o){data=e,invalidateAllRows(),updateRowCount(),o&&scrollTo(0)}function getData(){return data}function getDataLength(){return data.getLength?data.getLength():data.length}function getDataLengthIncludingAddNew(){return getDataLength()+(options.enableAddRow&&(!pagingActive||pagingIsLastPage)?1:0)}function getDataItem(e){return data.getItem?data.getItem(e):data[e]}function getTopPanel(){return $topPanel[0]}function setTopPanelVisibility(e){options.showTopPanel!=e&&(options.showTopPanel=e,e?$topPanelScroller.slideDown(\"fast\",resizeCanvas):$topPanelScroller.slideUp(\"fast\",resizeCanvas))}function setHeaderRowVisibility(e){options.showHeaderRow!=e&&(options.showHeaderRow=e,e?$headerRowScroller.slideDown(\"fast\",resizeCanvas):$headerRowScroller.slideUp(\"fast\",resizeCanvas))}function setFooterRowVisibility(e){options.showFooterRow!=e&&(options.showFooterRow=e,e?$footerRowScroller.slideDown(\"fast\",resizeCanvas):$footerRowScroller.slideUp(\"fast\",resizeCanvas))}function setPreHeaderPanelVisibility(e){options.showPreHeaderPanel!=e&&(options.showPreHeaderPanel=e,e?$preHeaderPanelScroller.slideDown(\"fast\",resizeCanvas):$preHeaderPanelScroller.slideUp(\"fast\",resizeCanvas))}function getContainerNode(){return $container.get(0)}function getRowTop(e){return options.rowHeight*e-offset}function getRowFromPosition(e){return Math.floor((e+offset)/options.rowHeight)}function scrollTo(e){e=Math.max(e,0),e=Math.min(e,th-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0));var o=offset;page=Math.min(n-1,Math.floor(e/ph));var t=e-(offset=Math.round(page*cj));offset!=o&&(cleanupRows(getVisibleRange(t)),updateRowPositions());prevScrollTop!=t&&(vScrollDir=prevScrollTop+o<t+offset?1:-1,$viewport[0].scrollTop=lastRenderedScrollTop=scrollTop=prevScrollTop=t,trigger(self.onViewportChanged,{}))}function defaultFormatter(e,o,t,l,n,r){return null==t?\"\":(t+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}function getFormatter(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e),l=t&&t.columns&&(t.columns[o.id]||t.columns[getColumnIndex(o.id)]);return l&&l.formatter||t&&t.formatter||o.formatter||options.formatterFactory&&options.formatterFactory.getFormatter(o)||options.defaultFormatter}function getEditor(e,o){var t=columns[o],l=data.getItemMetadata&&data.getItemMetadata(e),n=l&&l.columns;return n&&n[t.id]&&void 0!==n[t.id].editor?n[t.id].editor:n&&n[o]&&void 0!==n[o].editor?n[o].editor:t.editor||options.editorFactory&&options.editorFactory.getEditor(t)}function getDataItemValueForColumn(e,o){return options.dataItemColumnValueExtractor?options.dataItemColumnValueExtractor(e,o):e[o.field]}function appendRowHtml(e,o,t,l){var n=getDataItem(o),r=\"slick-row\"+(o<l&&!n?\" loading\":\"\")+(o===activeRow&&options.showCellSelection?\" active\":\"\")+(o%2==1?\" odd\":\" even\");n||(r+=\" \"+options.addNewRowCssClass);var i,s,a=data.getItemMetadata&&data.getItemMetadata(o);a&&a.cssClasses&&(r+=\" \"+a.cssClasses),e.push(\"<div class='ui-widget-content \"+r+\"' style='top:\"+getRowTop(o)+\"px'>\");for(var c=0,d=columns.length;c<d;c++){if(s=columns[c],i=1,a&&a.columns){var u=a.columns[s.id]||a.columns[c];\"*\"===(i=u&&u.colspan||1)&&(i=d-c)}if(columnPosRight[Math.min(d-1,c+i-1)]>t.leftPx){if(columnPosLeft[c]>t.rightPx)break;appendCellHtml(e,o,c,i,n)}i>1&&(c+=i-1)}e.push(\"</div>\")}function appendCellHtml(e,o,t,l,n){var r=columns[t],i=\"slick-cell l\"+t+\" r\"+Math.min(columns.length-1,t+l-1)+(r.cssClass?\" \"+r.cssClass:\"\");for(var s in o===activeRow&&t===activeCell&&options.showCellSelection&&(i+=\" active\"),cellCssClasses)cellCssClasses[s][o]&&cellCssClasses[s][o][r.id]&&(i+=\" \"+cellCssClasses[s][o][r.id]);var a=null,c=\"\";n&&(a=getDataItemValueForColumn(n,r),null==(c=getFormatter(o,r)(o,t,a,r,n,self))&&(c=\"\"));var d=trigger(self.onBeforeAppendCell,{row:o,cell:t,value:a,dataContext:n})||\"\";d+=c&&c.addClasses?(d?\" \":\"\")+c.addClasses:\"\",e.push(\"<div class='\"+i+(d?\" \"+d:\"\")+\"'>\"),n&&e.push(\"[object Object]\"!==Object.prototype.toString.call(c)?c:c.text),e.push(\"</div>\"),rowsCache[o].cellRenderQueue.push(t),rowsCache[o].cellColSpans[t]=l}function cleanupRows(e){for(var o in rowsCache)(o=parseInt(o,10))!==activeRow&&(o<e.top||o>e.bottom)&&removeRowFromCache(o);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function invalidate(){updateRowCount(),invalidateAllRows(),render()}function invalidateAllRows(){for(var e in currentEditor&&makeActiveCellNormal(),rowsCache)removeRowFromCache(e);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function queuePostProcessedRowForCleanup(e,o,t){for(var l in postProcessgroupId++,o)o.hasOwnProperty(l)&&postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e.cellNodesByColumnIdx[0|l],columnIdx:0|l,rowIdx:t});postProcessedCleanupQueue.push({actionType:\"R\",groupId:postProcessgroupId,node:e.rowNode}),$(e.rowNode).detach()}function queuePostProcessedCellForCleanup(e,o,t){postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e,columnIdx:o,rowIdx:t}),$(e).detach()}function removeRowFromCache(e){var o=rowsCache[e];o&&(o.rowNode&&(rowNodeFromLastMouseWheelEvent===o.rowNode?(o.rowNode.style.display=\"none\",zombieRowNodeFromLastMouseWheelEvent=rowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent=o,zombieRowPostProcessedFromLastMouseWheelEvent=postProcessedRows[e]):options.enableAsyncPostRenderCleanup&&postProcessedRows[e]?queuePostProcessedRowForCleanup(o,postProcessedRows[e],e):$canvas[0].removeChild(o.rowNode)),delete rowsCache[e],delete postProcessedRows[e],renderedRows--,counter_rows_removed++)}function invalidateRows(e){var o,t;if(e&&e.length){for(vScrollDir=0,t=e.length,o=0;o<t;o++)currentEditor&&activeRow===e[o]&&makeActiveCellNormal(),rowsCache[e[o]]&&removeRowFromCache(e[o]);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}}function invalidateRow(e){(e||0===e)&&invalidateRows([e])}function applyFormatResultToCellNode(e,o,t){null==e&&(e=\"\"),\"[object Object]\"===Object.prototype.toString.call(e)?(o.innerHTML=e.text,e.removeClasses&&!t&&$(o).removeClass(e.removeClasses),e.addClasses&&$(o).addClass(e.addClasses)):o.innerHTML=e}function updateCell(e,o){var t=getCellNode(e,o);if(t){var l=columns[o],n=getDataItem(e);if(currentEditor&&activeRow===e&&activeCell===o)currentEditor.loadValue(n);else applyFormatResultToCellNode(n?getFormatter(e,l)(e,o,getDataItemValueForColumn(n,l),l,n,self):\"\",t),invalidatePostProcessingResults(e)}}function updateRow(e){var o=rowsCache[e];if(o){ensureCellNodesInRowsCache(e);var t=getDataItem(e);for(var l in o.cellNodesByColumnIdx)if(o.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=o.cellNodesByColumnIdx[l];e===activeRow&&l===activeCell&&currentEditor?currentEditor.loadValue(t):t?applyFormatResultToCellNode(getFormatter(e,n)(e,l,getDataItemValueForColumn(t,n),n,t,self),r):r.innerHTML=\"\"}invalidatePostProcessingResults(e)}}function getViewportHeight(){return parseFloat($.css($container[0],\"height\",!0))-parseFloat($.css($container[0],\"paddingTop\",!0))-parseFloat($.css($container[0],\"paddingBottom\",!0))-parseFloat($.css($headerScroller[0],\"height\"))-getVBoxDelta($headerScroller)-(options.showTopPanel?options.topPanelHeight+getVBoxDelta($topPanelScroller):0)-(options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0)-(options.createFooterRow&&options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0)-(options.createPreHeaderPanel&&options.showPreHeaderPanel?options.preHeaderPanelHeight+getVBoxDelta($preHeaderPanelScroller):0)}function resizeCanvas(){initialized&&(viewportH=options.autoHeight?options.rowHeight*getDataLengthIncludingAddNew():getViewportHeight(),numVisibleRows=Math.ceil(viewportH/options.rowHeight),viewportW=parseFloat($.css($container[0],\"width\",!0)),options.autoHeight||$viewport.height(viewportH),scrollbarDimensions&&scrollbarDimensions.width||(scrollbarDimensions=measureScrollbar()),options.forceFitColumns&&autosizeColumns(),updateRowCount(),handleScroll(),lastRenderedScrollLeft=-1,render())}function updatePagingStatusFromView(e){pagingActive=0!==e.pageSize,pagingIsLastPage=e.pageNum==e.totalPages-1}function updateRowCount(){if(initialized){var e=getDataLength(),o=getDataLengthIncludingAddNew()+(options.leaveSpaceForNewRows?numVisibleRows-1:0),t=viewportHasVScroll;viewportHasVScroll=options.alwaysShowVerticalScroll||!options.autoHeight&&o*options.rowHeight>viewportH,viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width,makeActiveCellNormal();var l=e-1;for(var r in rowsCache)r>l&&removeRowFromCache(r);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup(),activeCellNode&&activeRow>l&&resetActiveCell();var i=h;(th=Math.max(options.rowHeight*o,viewportH-scrollbarDimensions.height))<maxSupportedCssHeight?(h=ph=th,n=1,cj=0):(ph=(h=maxSupportedCssHeight)/100,n=Math.floor(th/ph),cj=(th-h)/(n-1)),h!==i&&($canvas.css(\"height\",h),scrollTop=$viewport[0].scrollTop);var s=scrollTop+offset<=th-viewportH;0==th||0==scrollTop?page=offset=0:scrollTo(s?scrollTop+offset:th-viewportH),h!=i&&options.autoHeight&&resizeCanvas(),options.forceFitColumns&&t!=viewportHasVScroll&&autosizeColumns(),updateCanvasWidth(!1)}}function getVisibleRange(e,o){return null==e&&(e=scrollTop),null==o&&(o=scrollLeft),{top:getRowFromPosition(e),bottom:getRowFromPosition(e+viewportH)+1,leftPx:o,rightPx:o+viewportW}}function getRenderedRange(e,o){var t=getVisibleRange(e,o),l=Math.round(viewportH/options.rowHeight),n=options.minRowBuffer;return-1==vScrollDir?(t.top-=l,t.bottom+=n):1==vScrollDir?(t.top-=n,t.bottom+=l):(t.top-=n,t.bottom+=n),t.top=Math.max(0,t.top),t.bottom=Math.min(getDataLengthIncludingAddNew()-1,t.bottom),t.leftPx-=viewportW,t.rightPx+=viewportW,t.leftPx=Math.max(0,t.leftPx),t.rightPx=Math.min(canvasWidth,t.rightPx),t}function ensureCellNodesInRowsCache(e){var o=rowsCache[e];if(o&&o.cellRenderQueue.length)for(var t=o.rowNode.lastChild;o.cellRenderQueue.length;){var l=o.cellRenderQueue.pop();o.cellNodesByColumnIdx[l]=t,t=t.previousSibling}}function cleanUpCells(e,o){var t,l,n=rowsCache[o],r=[];for(var i in n.cellNodesByColumnIdx)if(n.cellNodesByColumnIdx.hasOwnProperty(i)){i|=0;var s=n.cellColSpans[i];(columnPosLeft[i]>e.rightPx||columnPosRight[Math.min(columns.length-1,i+s-1)]<e.leftPx)&&(o==activeRow&&i==activeCell||r.push(i))}for(postProcessgroupId++;null!=(t=r.pop());)l=n.cellNodesByColumnIdx[t],options.enableAsyncPostRenderCleanup&&postProcessedRows[o]&&postProcessedRows[o][t]?queuePostProcessedCellForCleanup(l,t,o):n.rowNode.removeChild(l),delete n.cellColSpans[t],delete n.cellNodesByColumnIdx[t],postProcessedRows[o]&&delete postProcessedRows[o][t]}function cleanUpAndRenderCells(e){for(var o,t,l,n=[],r=[],i=e.top,s=e.bottom;i<=s;i++)if(o=rowsCache[i]){ensureCellNodesInRowsCache(i),cleanUpCells(e,i),t=0;var a=data.getItemMetadata&&data.getItemMetadata(i);a=a&&a.columns;for(var c=getDataItem(i),d=0,u=columns.length;d<u&&!(columnPosLeft[d]>e.rightPx);d++)if(null==(l=o.cellColSpans[d])){if(l=1,a){var h=a[columns[d].id]||a[d];\"*\"===(l=h&&h.colspan||1)&&(l=u-d)}columnPosRight[Math.min(u-1,d+l-1)]>e.leftPx&&(appendCellHtml(n,i,d,l,c),t++),d+=l>1?l-1:0}else d+=l>1?l-1:0;t&&(t,r.push(i))}if(n.length){var p,g,m=document.createElement(\"div\");for(m.innerHTML=n.join(\"\");null!=(p=r.pop());){var v;for(o=rowsCache[p];null!=(v=o.cellRenderQueue.pop());)g=m.lastChild,o.rowNode.appendChild(g),o.cellNodesByColumnIdx[v]=g}}}function renderRows(e){for(var o=$canvas[0],t=[],l=[],n=!1,r=getDataLength(),i=e.top,s=e.bottom;i<=s;i++)rowsCache[i]||(renderedRows++,l.push(i),rowsCache[i]={rowNode:null,cellColSpans:[],cellNodesByColumnIdx:[],cellRenderQueue:[]},appendRowHtml(t,i,e,r),activeCellNode&&activeRow===i&&(n=!0),counter_rows_rendered++);if(l.length){var a=document.createElement(\"div\");a.innerHTML=t.join(\"\");for(i=0,s=l.length;i<s;i++)rowsCache[l[i]].rowNode=o.appendChild(a.firstChild);n&&(activeCellNode=getCellNode(activeRow,activeCell))}}function startPostProcessing(){options.enableAsyncPostRender&&(clearTimeout(h_postrender),h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}function startPostProcessingCleanup(){options.enableAsyncPostRenderCleanup&&(clearTimeout(h_postrenderCleanup),h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay))}function invalidatePostProcessingResults(e){for(var o in postProcessedRows[e])postProcessedRows[e].hasOwnProperty(o)&&(postProcessedRows[e][o]=\"C\");postProcessFromRow=Math.min(postProcessFromRow,e),postProcessToRow=Math.max(postProcessToRow,e),startPostProcessing()}function updateRowPositions(){for(var e in rowsCache)rowsCache[e].rowNode.style.top=getRowTop(e)+\"px\"}function render(){if(initialized){scrollThrottle.dequeue();var e=getVisibleRange(),o=getRenderedRange();cleanupRows(o),lastRenderedScrollLeft!=scrollLeft&&cleanUpAndRenderCells(o),renderRows(o),postProcessFromRow=e.top,postProcessToRow=Math.min(getDataLengthIncludingAddNew()-1,e.bottom),startPostProcessing(),lastRenderedScrollTop=scrollTop,lastRenderedScrollLeft=scrollLeft,h_render=null,trigger(self.onRendered,{startRow:e.top,endRow:e.bottom,grid:self})}}function handleHeaderScroll(){handleElementScroll($headerScroller[0])}function handleHeaderRowScroll(){handleElementScroll($headerRowScroller[0])}function handleFooterRowScroll(){handleElementScroll($footerRowScroller[0])}function handlePreHeaderPanelScroll(){handleElementScroll($preHeaderPanelScroller[0])}function handleElementScroll(e){var o=e.scrollLeft;o!=$viewport[0].scrollLeft&&($viewport[0].scrollLeft=o)}function handleScroll(){scrollTop=$viewport[0].scrollTop,scrollLeft=$viewport[0].scrollLeft;var e=Math.abs(scrollTop-prevScrollTop),o=Math.abs(scrollLeft-prevScrollLeft);if(o&&(prevScrollLeft=scrollLeft,$headerScroller[0].scrollLeft=scrollLeft,$topPanelScroller[0].scrollLeft=scrollLeft,$headerRowScroller[0].scrollLeft=scrollLeft,options.createFooterRow&&($footerRowScroller[0].scrollLeft=scrollLeft),options.createPreHeaderPanel&&($preHeaderPanelScroller[0].scrollLeft=scrollLeft)),e)if(vScrollDir=prevScrollTop<scrollTop?1:-1,prevScrollTop=scrollTop,e<viewportH)scrollTo(scrollTop+offset);else{var t=offset;page=h==viewportH?0:Math.min(n-1,Math.floor(scrollTop*((th-viewportH)/(h-viewportH))*(1/ph))),t!=(offset=Math.round(page*cj))&&invalidateAllRows()}if(o||e){var l=Math.abs(lastRenderedScrollLeft-scrollLeft),r=Math.abs(lastRenderedScrollTop-scrollTop);(l>20||r>20)&&(options.forceSyncScrolling||r<viewportH&&l<viewportW?render():scrollThrottle.enqueue(),trigger(self.onViewportChanged,{}))}trigger(self.onScroll,{scrollLeft,scrollTop})}function ActionThrottle(e,o){var t=!1,l=!1;function n(){l=!1}function r(){t=!0,setTimeout(i,o),e()}function i(){l?(n(),r()):t=!1}return{enqueue:function(){t?l=!0:r()},dequeue:n}}function asyncPostProcessRows(){for(var e=getDataLength();postProcessFromRow<=postProcessToRow;){var o=vScrollDir>=0?postProcessFromRow++:postProcessToRow--,t=rowsCache[o];if(t&&!(o>=e)){for(var l in postProcessedRows[o]||(postProcessedRows[o]={}),ensureCellNodesInRowsCache(o),t.cellNodesByColumnIdx)if(t.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=postProcessedRows[o][l];if(n.asyncPostRender&&\"R\"!==r){var i=t.cellNodesByColumnIdx[l];i&&n.asyncPostRender(i,o,getDataItem(o),n,\"C\"===r),postProcessedRows[o][l]=\"R\"}}return void(h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}}}function asyncPostProcessCleanupRows(){if(postProcessedCleanupQueue.length>0){for(var e=postProcessedCleanupQueue[0].groupId;postProcessedCleanupQueue.length>0&&postProcessedCleanupQueue[0].groupId==e;){var o=postProcessedCleanupQueue.shift();if(\"R\"==o.actionType&&$(o.node).remove(),\"C\"==o.actionType){var t=columns[o.columnIdx];t.asyncPostRenderCleanup&&o.node&&t.asyncPostRenderCleanup(o.node,o.rowIdx,t)}}h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay)}}function updateCellCssStylesOnRenderedRows(e,o){var t,l,n,r;for(var i in rowsCache){if(r=o&&o[i],n=e&&e[i],r)for(l in r)n&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).removeClass(r[l]);if(n)for(l in n)r&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).addClass(n[l])}}function addCellCssStyles(e,o){if(cellCssClasses[e])throw new Error(\"addCellCssStyles: cell CSS hash with key '\"+e+\"' already exists.\");cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,null),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function removeCellCssStyles(e){cellCssClasses[e]&&(updateCellCssStylesOnRenderedRows(null,cellCssClasses[e]),delete cellCssClasses[e],trigger(self.onCellCssStylesChanged,{key:e,hash:null,grid:self}))}function setCellCssStyles(e,o){var t=cellCssClasses[e];cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,t),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function getCellCssStyles(e){return cellCssClasses[e]}function flashCell(e,o,t){if(t=t||100,rowsCache[e]){var l=$(getCellNode(e,o)),n=function(e){e&&setTimeout((function(){l.queue((function(){l.toggleClass(options.cellFlashingCssClass).dequeue(),n(e-1)}))}),t)};n(4)}}function handleMouseWheel(e){var o=$(e.target).closest(\".slick-row\")[0];o!=rowNodeFromLastMouseWheelEvent&&(zombieRowNodeFromLastMouseWheelEvent&&zombieRowNodeFromLastMouseWheelEvent!=o&&(options.enableAsyncPostRenderCleanup&&zombieRowPostProcessedFromLastMouseWheelEvent?queuePostProcessedRowForCleanup(zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent):$canvas[0].removeChild(zombieRowNodeFromLastMouseWheelEvent),zombieRowNodeFromLastMouseWheelEvent=null,zombieRowCacheFromLastMouseWheelEvent=null,zombieRowPostProcessedFromLastMouseWheelEvent=null,options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()),rowNodeFromLastMouseWheelEvent=o)}function handleDragInit(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragInit,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDragStart(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragStart,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDrag(e,o){return trigger(self.onDrag,o,e)}function handleDragEnd(e,o){trigger(self.onDragEnd,o,e)}function handleKeyDown(e){trigger(self.onKeyDown,{row:activeRow,cell:activeCell},e);var o=e.isImmediatePropagationStopped(),t=Slick.keyCode;if(!o&&!e.shiftKey&&!e.altKey){if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;e.which==t.HOME?o=e.ctrlKey?navigateTop():navigateRowStart():e.which==t.END&&(o=e.ctrlKey?navigateBottom():navigateRowEnd())}if(!o)if(e.shiftKey||e.altKey||e.ctrlKey)e.which!=t.TAB||!e.shiftKey||e.ctrlKey||e.altKey||(o=navigatePrev());else{if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;if(e.which==t.ESCAPE){if(!getEditorLock().isActive())return;cancelEditAndSetFocus()}else e.which==t.PAGE_DOWN?(navigatePageDown(),o=!0):e.which==t.PAGE_UP?(navigatePageUp(),o=!0):e.which==t.LEFT?o=navigateLeft():e.which==t.RIGHT?o=navigateRight():e.which==t.UP?o=navigateUp():e.which==t.DOWN?o=navigateDown():e.which==t.TAB?o=navigateNext():e.which==t.ENTER&&(options.editable&&(currentEditor?activeRow===getDataLength()?navigateDown():commitEditAndSetFocus():getEditorLock().commitCurrentEdit()&&makeActiveCellEditable(void 0,void 0,e)),o=!0)}if(o){e.stopPropagation(),e.preventDefault();try{e.originalEvent.keyCode=0}catch(e){}}}function handleClick(e){currentEditor||(e.target!=document.activeElement||$(e.target).hasClass(\"slick-cell\"))&&setFocus();var o=getCellFromEvent(e);if(o&&(null===currentEditor||activeRow!=o.row||activeCell!=o.cell)&&(trigger(self.onClick,{row:o.row,cell:o.cell},e),!e.isImmediatePropagationStopped()&&canCellBeActive(o.row,o.cell)&&(!getEditorLock().isActive()||getEditorLock().commitCurrentEdit()))){scrollRowIntoView(o.row,!1);var t=e.target&&e.target.className===Slick.preClickClassName,l=columns[o.cell],n=!!(options.editable&&l&&l.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(getCellNode(o.row,o.cell),null,t,n,e)}}function handleContextMenu(e){var o=$(e.target).closest(\".slick-cell\",$canvas);0!==o.length&&(activeCellNode===o[0]&&null!==currentEditor||trigger(self.onContextMenu,{},e))}function handleDblClick(e){var o=getCellFromEvent(e);!o||null!==currentEditor&&activeRow==o.row&&activeCell==o.cell||(trigger(self.onDblClick,{row:o.row,cell:o.cell},e),e.isImmediatePropagationStopped()||options.editable&&gotoCell(o.row,o.cell,!0,e))}function handleHeaderMouseEnter(e){trigger(self.onHeaderMouseEnter,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderMouseLeave(e){trigger(self.onHeaderMouseLeave,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderContextMenu(e){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");trigger(self.onHeaderContextMenu,{column:t},e)}function handleHeaderClick(e){if(!columnResizeDragging){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");t&&trigger(self.onHeaderClick,{column:t},e)}}function handleMouseEnter(e){trigger(self.onMouseEnter,{},e)}function handleMouseLeave(e){trigger(self.onMouseLeave,{},e)}function cellExists(e,o){return!(e<0||e>=getDataLength()||o<0||o>=columns.length)}function getCellFromPoint(e,o){for(var t=getRowFromPosition(o),l=0,n=0,r=0;r<columns.length&&n<e;r++)n+=columns[r].width,l++;return l<0&&(l=0),{row:t,cell:l-1}}function getCellFromNode(e){var o=/l\\d+/.exec(e.className);if(!o)throw new Error(\"getCellFromNode: cannot get cell - \"+e.className);return parseInt(o[0].substr(1,o[0].length-1),10)}function getRowFromNode(e){for(var o in rowsCache)if(rowsCache[o].rowNode===e)return 0|o;return null}function getCellFromEvent(e){var o=$(e.target).closest(\".slick-cell\",$canvas);if(!o.length)return null;var t=getRowFromNode(o[0].parentNode),l=getCellFromNode(o[0]);return null==t||null==l?null:{row:t,cell:l}}function getCellNodeBox(e,o){if(!cellExists(e,o))return null;for(var t=getRowTop(e),l=t+options.rowHeight-1,n=0,r=0;r<o;r++)n+=columns[r].width;return{top:t,left:n,bottom:l,right:n+columns[o].width}}function resetActiveCell(){setActiveCellInternal(null,!1)}function setFocus(){-1==tabbingDirection?$focusSink[0].focus():$focusSink2[0].focus()}function scrollCellIntoView(e,o,t){scrollRowIntoView(e,t);var l=getColspan(e,o);internalScrollColumnIntoView(columnPosLeft[o],columnPosRight[o+(l>1?l-1:0)])}function internalScrollColumnIntoView(e,o){var t=scrollLeft+viewportW;e<scrollLeft?($viewport.scrollLeft(e),handleScroll(),render()):o>t&&($viewport.scrollLeft(Math.min(e,o-$viewport[0].clientWidth)),handleScroll(),render())}function scrollColumnIntoView(e){internalScrollColumnIntoView(columnPosLeft[e],columnPosRight[e])}function setActiveCellInternal(e,o,t,l,n){null!==activeCellNode&&(makeActiveCellNormal(),$(activeCellNode).removeClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).removeClass(\"active\"));null!=(activeCellNode=e)?(activeRow=getRowFromNode(activeCellNode.parentNode),activeCell=activePosX=getCellFromNode(activeCellNode),null==o&&(o=activeRow==getDataLength()||options.autoEdit),options.showCellSelection&&($(activeCellNode).addClass(\"active\"),$(rowsCache[activeRow].rowNode).addClass(\"active\")),options.editable&&o&&isCellPotentiallyEditable(activeRow,activeCell)&&(clearTimeout(h_editorLoader),options.asyncEditorLoading?h_editorLoader=setTimeout((function(){makeActiveCellEditable(void 0,t,n)}),options.asyncEditorLoadDelay):makeActiveCellEditable(void 0,t,n))):activeRow=activeCell=null,l||trigger(self.onActiveCellChanged,getActiveCell())}function clearTextSelection(){if(document.selection&&document.selection.empty)try{document.selection.empty()}catch(e){}else if(window.getSelection){var e=window.getSelection();e&&e.removeAllRanges&&e.removeAllRanges()}}function isCellPotentiallyEditable(e,o){var t=getDataLength();return!(e<t&&!getDataItem(e))&&(!(columns[o].cannotTriggerInsert&&e>=t)&&!!getEditor(e,o))}function makeActiveCellNormal(){if(currentEditor){if(trigger(self.onBeforeCellEditorDestroy,{editor:currentEditor}),currentEditor.destroy(),currentEditor=null,activeCellNode){var e=getDataItem(activeRow);if($(activeCellNode).removeClass(\"editable invalid\"),e){var o=columns[activeCell];applyFormatResultToCellNode(getFormatter(activeRow,o)(activeRow,activeCell,getDataItemValueForColumn(e,o),o,e,self),activeCellNode),invalidatePostProcessingResults(activeRow)}}navigator.userAgent.toLowerCase().match(/msie/)&&clearTextSelection(),getEditorLock().deactivate(editController)}}function makeActiveCellEditable(e,o,t){if(activeCellNode){if(!options.editable)throw new Error(\"Grid : makeActiveCellEditable : should never get called when options.editable is false\");if(clearTimeout(h_editorLoader),isCellPotentiallyEditable(activeRow,activeCell)){var l=columns[activeCell],n=getDataItem(activeRow);if(!1!==trigger(self.onBeforeEditCell,{row:activeRow,cell:activeCell,item:n,column:l})){getEditorLock().activate(editController),$(activeCellNode).addClass(\"editable\");var r=e||getEditor(activeRow,activeCell);e||r.suppressClearOnEdit||(activeCellNode.innerHTML=\"\"),currentEditor=new r({grid:self,gridPosition:absBox($container[0]),position:absBox(activeCellNode),container:activeCellNode,column:l,item:n||{},event:t,commitChanges:commitEditAndSetFocus,cancelChanges:cancelEditAndSetFocus}),n&&(currentEditor.loadValue(n),o&&currentEditor.preClick&&currentEditor.preClick()),serializedEditorValue=currentEditor.serializeValue(),currentEditor.position&&handleActiveCellPositionChange()}else setFocus()}}}function commitEditAndSetFocus(){getEditorLock().commitCurrentEdit()&&(setFocus(),options.autoEdit&&navigateDown())}function cancelEditAndSetFocus(){getEditorLock().cancelCurrentEdit()&&setFocus()}function absBox(e){var o={top:e.offsetTop,left:e.offsetLeft,bottom:0,right:0,width:$(e).outerWidth(),height:$(e).outerHeight(),visible:!0};o.bottom=o.top+o.height,o.right=o.left+o.width;for(var t=e.offsetParent;(e=e.parentNode)!=document.body&&null!=e;)o.visible&&e.scrollHeight!=e.offsetHeight&&\"visible\"!=$(e).css(\"overflowY\")&&(o.visible=o.bottom>e.scrollTop&&o.top<e.scrollTop+e.clientHeight),o.visible&&e.scrollWidth!=e.offsetWidth&&\"visible\"!=$(e).css(\"overflowX\")&&(o.visible=o.right>e.scrollLeft&&o.left<e.scrollLeft+e.clientWidth),o.left-=e.scrollLeft,o.top-=e.scrollTop,e===t&&(o.left+=e.offsetLeft,o.top+=e.offsetTop,t=e.offsetParent),o.bottom=o.top+o.height,o.right=o.left+o.width;return o}function getActiveCellPosition(){return absBox(activeCellNode)}function getGridPosition(){return absBox($container[0])}function handleActiveCellPositionChange(){if(activeCellNode&&(trigger(self.onActiveCellPositionChanged,{}),currentEditor)){var e=getActiveCellPosition();currentEditor.show&&currentEditor.hide&&(e.visible?currentEditor.show():currentEditor.hide()),currentEditor.position&&currentEditor.position(e)}}function getCellEditor(){return currentEditor}function getActiveCell(){return activeCellNode?{row:activeRow,cell:activeCell}:null}function getActiveCellNode(){return activeCellNode}function scrollRowIntoView(e,o){var t=e*options.rowHeight,l=(e+1)*options.rowHeight-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0);(e+1)*options.rowHeight>scrollTop+viewportH+offset?(scrollTo(o?t:l),render()):e*options.rowHeight<scrollTop+offset&&(scrollTo(o?l:t),render())}function scrollRowToTop(e){scrollTo(e*options.rowHeight),render()}function scrollPage(e){var o=e*numVisibleRows;if(scrollTo((getRowFromPosition(scrollTop)+o)*options.rowHeight),render(),options.enableCellNavigation&&null!=activeRow){var t=activeRow+o,l=getDataLengthIncludingAddNew();t>=l&&(t=l-1),t<0&&(t=0);for(var n=0,r=null,i=activePosX;n<=activePosX;)canCellBeActive(t,n)&&(r=n),n+=getColspan(t,n);null!==r?(setActiveCellInternal(getCellNode(t,r)),activePosX=i):resetActiveCell()}}function navigatePageDown(){scrollPage(1)}function navigatePageUp(){scrollPage(-1)}function navigateTop(){navigateToRow(0)}function navigateBottom(){navigateToRow(getDataLength()-1)}function navigateToRow(e){var o=getDataLength();if(!o)return!0;if(e<0?e=0:e>=o&&(e=o-1),scrollCellIntoView(e,0,!0),options.enableCellNavigation&&null!=activeRow){for(var t=0,l=null,n=activePosX;t<=activePosX;)canCellBeActive(e,t)&&(l=t),t+=getColspan(e,t);null!==l?(setActiveCellInternal(getCellNode(e,l)),activePosX=n):resetActiveCell()}return!0}function getColspan(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e);if(!t||!t.columns)return 1;var l=t.columns[columns[o].id]||t.columns[o],n=l&&l.colspan;return n=\"*\"===n?columns.length-o:n||1}function findFirstFocusableCell(e){for(var o=0;o<columns.length;){if(canCellBeActive(e,o))return o;o+=getColspan(e,o)}return null}function findLastFocusableCell(e){for(var o=0,t=null;o<columns.length;)canCellBeActive(e,o)&&(t=o),o+=getColspan(e,o);return t}function gotoRight(e,o,t){if(o>=columns.length)return null;do{o+=getColspan(e,o)}while(o<columns.length&&!canCellBeActive(e,o));return o<columns.length?{row:e,cell:o,posX:o}:null}function gotoLeft(e,o,t){if(o<=0)return null;var l=findFirstFocusableCell(e);if(null===l||l>=o)return null;for(var n,r={row:e,cell:l,posX:l};;){if(!(n=gotoRight(r.row,r.cell,r.posX)))return null;if(n.cell>=o)return r;r=n}}function gotoDown(e,o,t){for(var l,n=getDataLengthIncludingAddNew();;){if(++e>=n)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoUp(e,o,t){for(var l;;){if(--e<0)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoNext(e,o,t){if(null==e&&null==o&&canCellBeActive(e=o=t=0,o))return{row:e,cell:o,posX:o};var l=gotoRight(e,o,t);if(l)return l;var n=null,r=getDataLengthIncludingAddNew();for(e===r-1&&e--;++e<r;)if(null!==(n=findFirstFocusableCell(e)))return{row:e,cell:n,posX:n};return null}function gotoPrev(e,o,t){if(null==e&&null==o&&canCellBeActive(e=getDataLengthIncludingAddNew()-1,o=t=columns.length-1))return{row:e,cell:o,posX:o};for(var l,n;!l&&!(l=gotoLeft(e,o,t));){if(--e<0)return null;o=0,null!==(n=findLastFocusableCell(e))&&(l={row:e,cell:n,posX:n})}return l}function gotoRowStart(e,o,t){var l=findFirstFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function gotoRowEnd(e,o,t){var l=findLastFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function navigateRight(){return navigate(\"right\")}function navigateLeft(){return navigate(\"left\")}function navigateDown(){return navigate(\"down\")}function navigateUp(){return navigate(\"up\")}function navigateNext(){return navigate(\"next\")}function navigatePrev(){return navigate(\"prev\")}function navigateRowStart(){return navigate(\"home\")}function navigateRowEnd(){return navigate(\"end\")}function navigate(e){if(!options.enableCellNavigation)return!1;if(!activeCellNode&&\"prev\"!=e&&\"next\"!=e)return!1;if(!getEditorLock().commitCurrentEdit())return!0;setFocus();tabbingDirection={up:-1,down:1,left:-1,right:1,prev:-1,next:1,home:-1,end:1}[e];var o=(0,{up:gotoUp,down:gotoDown,left:gotoLeft,right:gotoRight,prev:gotoPrev,next:gotoNext,home:gotoRowStart,end:gotoRowEnd}[e])(activeRow,activeCell,activePosX);if(o){var t=o.row==getDataLength();return scrollCellIntoView(o.row,o.cell,!t&&options.emulatePagingWhenScrolling),setActiveCellInternal(getCellNode(o.row,o.cell)),activePosX=o.posX,!0}return setActiveCellInternal(getCellNode(activeRow,activeCell)),!1}function getCellNode(e,o){return rowsCache[e]?(ensureCellNodesInRowsCache(e),rowsCache[e].cellNodesByColumnIdx[o]):null}function setActiveCell(e,o,t,l,n){initialized&&(e>getDataLength()||e<0||o>=columns.length||o<0||options.enableCellNavigation&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t,l,n)))}function canCellBeActive(e,o){if(!options.enableCellNavigation||e>=getDataLengthIncludingAddNew()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.focusable)return!!t.focusable;var l=t&&t.columns;return l&&l[columns[o].id]&&void 0!==l[columns[o].id].focusable?!!l[columns[o].id].focusable:l&&l[o]&&void 0!==l[o].focusable?!!l[o].focusable:!!columns[o].focusable}function canCellBeSelected(e,o){if(e>=getDataLength()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.selectable)return!!t.selectable;var l=t&&t.columns&&(t.columns[columns[o].id]||t.columns[o]);return l&&void 0!==l.selectable?!!l.selectable:!!columns[o].selectable}function gotoCell(e,o,t,l){initialized&&(canCellBeActive(e,o)&&getEditorLock().commitCurrentEdit()&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t||e===getDataLength()||options.autoEdit,null,options.editable,l),currentEditor||setFocus()))}function commitCurrentEdit(){var e=getDataItem(activeRow),o=columns[activeCell];if(currentEditor){if(currentEditor.isValueChanged()){var t=currentEditor.validate();if(t.valid){if(activeRow<getDataLength()){var l={row:activeRow,cell:activeCell,editor:currentEditor,serializedValue:currentEditor.serializeValue(),prevSerializedValue:serializedEditorValue,execute:function(){this.editor.applyValue(e,this.serializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})},undo:function(){this.editor.applyValue(e,this.prevSerializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})}};options.editCommandHandler?(makeActiveCellNormal(),options.editCommandHandler(e,o,l)):(l.execute(),makeActiveCellNormal())}else{var n={};currentEditor.applyValue(n,currentEditor.serializeValue()),makeActiveCellNormal(),trigger(self.onAddNewRow,{item:n,column:o})}return!getEditorLock().isActive()}return $(activeCellNode).removeClass(\"invalid\"),$(activeCellNode).width(),$(activeCellNode).addClass(\"invalid\"),trigger(self.onValidationError,{editor:currentEditor,cellNode:activeCellNode,validationResults:t,row:activeRow,cell:activeCell,column:o}),currentEditor.focus(),!1}makeActiveCellNormal()}return!0}function cancelCurrentEdit(){return makeActiveCellNormal(),!0}function rowsToRanges(e){for(var o=[],t=columns.length-1,l=0;l<e.length;l++)o.push(new Slick.Range(e[l],0,e[l],t));return o}function getSelectedRows(){if(!selectionModel)throw new Error(\"Selection model is not set\");return selectedRows}function setSelectedRows(e){if(!selectionModel)throw new Error(\"Selection model is not set\");self&&self.getEditorLock&&!self.getEditorLock().isActive()&&selectionModel.setSelectedRanges(rowsToRanges(e))}this.debug=function(){var e=\"\";e+=\"\\ncounter_rows_rendered:  \"+counter_rows_rendered,e+=\"\\ncounter_rows_removed:  \"+counter_rows_removed,e+=\"\\nrenderedRows:  \"+renderedRows,e+=\"\\nnumVisibleRows:  \"+numVisibleRows,e+=\"\\nmaxSupportedCssHeight:  \"+maxSupportedCssHeight,e+=\"\\nn(umber of pages):  \"+n,e+=\"\\n(current) page:  \"+page,e+=\"\\npage height (ph):  \"+ph,e+=\"\\nvScrollDir:  \"+vScrollDir,alert(e)},this.eval=function(expr){return eval(expr)},$.extend(this,{slickGridVersion:\"2.3.23\",onScroll:new Slick.Event,onSort:new Slick.Event,onHeaderMouseEnter:new Slick.Event,onHeaderMouseLeave:new Slick.Event,onHeaderContextMenu:new Slick.Event,onHeaderClick:new Slick.Event,onHeaderCellRendered:new Slick.Event,onBeforeHeaderCellDestroy:new Slick.Event,onHeaderRowCellRendered:new Slick.Event,onFooterRowCellRendered:new Slick.Event,onBeforeHeaderRowCellDestroy:new Slick.Event,onBeforeFooterRowCellDestroy:new Slick.Event,onMouseEnter:new Slick.Event,onMouseLeave:new Slick.Event,onClick:new Slick.Event,onDblClick:new Slick.Event,onContextMenu:new Slick.Event,onKeyDown:new Slick.Event,onAddNewRow:new Slick.Event,onBeforeAppendCell:new Slick.Event,onValidationError:new Slick.Event,onViewportChanged:new Slick.Event,onColumnsReordered:new Slick.Event,onColumnsResized:new Slick.Event,onCellChange:new Slick.Event,onBeforeEditCell:new Slick.Event,onBeforeCellEditorDestroy:new Slick.Event,onBeforeDestroy:new Slick.Event,onActiveCellChanged:new Slick.Event,onActiveCellPositionChanged:new Slick.Event,onDragInit:new Slick.Event,onDragStart:new Slick.Event,onDrag:new Slick.Event,onDragEnd:new Slick.Event,onSelectedRowsChanged:new Slick.Event,onCellCssStylesChanged:new Slick.Event,onAutosizeColumns:new Slick.Event,onRendered:new Slick.Event,registerPlugin,unregisterPlugin,getColumns,setColumns,getColumnIndex,updateColumnHeader,setSortColumn,setSortColumns,getSortColumns,autosizeColumns,getOptions,setOptions,getData,getDataLength,getDataItem,setData,getSelectionModel,setSelectionModel,getSelectedRows,setSelectedRows,getContainerNode,updatePagingStatusFromView,render,invalidate,invalidateRow,invalidateRows,invalidateAllRows,updateCell,updateRow,getViewport:getVisibleRange,getRenderedRange,resizeCanvas,updateRowCount,scrollRowIntoView,scrollRowToTop,scrollCellIntoView,scrollColumnIntoView,getCanvasNode,getUID,getHeaderColumnWidthDiff,getScrollbarDimensions,getHeadersWidth,getCanvasWidth,focus:setFocus,scrollTo,getCellFromPoint,getCellFromEvent,getActiveCell,setActiveCell,getActiveCellNode,getActiveCellPosition,resetActiveCell,editActiveCell:makeActiveCellEditable,getCellEditor,getCellNode,getCellNodeBox,canCellBeSelected,canCellBeActive,navigatePrev,navigateNext,navigateUp,navigateDown,navigateLeft,navigateRight,navigatePageUp,navigatePageDown,navigateTop,navigateBottom,navigateRowStart,navigateRowEnd,gotoCell,getTopPanel,setTopPanelVisibility,getPreHeaderPanel,setPreHeaderPanelVisibility,getHeader,getHeaderColumn,setHeaderRowVisibility,getHeaderRow,getHeaderRowColumn,setFooterRowVisibility,getFooterRow,getFooterRowColumn,getGridPosition,flashCell,addCellCssStyles,setCellCssStyles,removeCellCssStyles,getCellCssStyles,init:finishInitialization,destroy,getEditorLock,getEditController}),init()}module.exports={Grid:SlickGrid}},\n      450: function _(t,e,a){\n      /*!\n           * jquery.event.drag - v 2.3.0\n           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n           * Open Source MIT License - http://threedubmedia.com/code/license\n           */\n      var n=t(443);n.fn.drag=function(t,e,a){var r=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==r.indexOf(\"drag\")&&(r=\"drag\"+r),a=(t==o?e:a)||{},o?this.on(r,a,o):this.trigger(r)};var r=n.event,o=r.special,i=o.drag={defaults:{which:1,distance:0,not:\":input\",handle:null,relative:!1,drop:!0,click:!1},datakey:\"dragdata\",noBubble:!0,add:function(t){var e=n.data(this,i.datakey),a=t.data||{};e.related+=1,n.each(i.defaults,(function(t,n){void 0!==a[t]&&(e[t]=a[t])}))},remove:function(){n.data(this,i.datakey).related-=1},setup:function(){if(!n.data(this,i.datakey)){var t=n.extend({related:0},i.defaults);n.data(this,i.datakey,t),r.add(this,\"touchstart mousedown\",i.init,t),this.attachEvent&&this.attachEvent(\"ondragstart\",i.dontstart)}},teardown:function(){(n.data(this,i.datakey)||{}).related||(n.removeData(this,i.datakey),r.remove(this,\"touchstart mousedown\",i.init),i.textselect(!0),this.detachEvent&&this.detachEvent(\"ondragstart\",i.dontstart))},init:function(t){if(!i.touched){var e,a=t.data;if(!(0!=t.which&&a.which>0&&t.which!=a.which)&&!n(t.target).is(a.not)&&(!a.handle||n(t.target).closest(a.handle,t.currentTarget).length)&&(i.touched=\"touchstart\"==t.type?this:null,a.propagates=1,a.mousedown=this,a.interactions=[i.interaction(this,a)],a.target=t.target,a.pageX=t.pageX,a.pageY=t.pageY,a.dragging=null,e=i.hijack(t,\"draginit\",a),a.propagates))return(e=i.flatten(e))&&e.length&&(a.interactions=[],n.each(e,(function(){a.interactions.push(i.interaction(this,a))}))),a.propagates=a.interactions.length,!1!==a.drop&&o.drop&&o.drop.handler(t,a),i.textselect(!1),i.touched?r.add(i.touched,\"touchmove touchend\",i.handler,a):r.add(document,\"mousemove mouseup\",i.handler,a),!(!i.touched||a.live)&&void 0}},interaction:function(t,e){var a=t&&t.ownerDocument&&n(t)[e.relative?\"position\":\"offset\"]()||{top:0,left:0};return{drag:t,callback:new i.callback,droppable:[],offset:a}},handler:function(t){var e=t.data;switch(t.type){case!e.dragging&&\"touchmove\":t.preventDefault();case!e.dragging&&\"mousemove\":if(Math.pow(t.pageX-e.pageX,2)+Math.pow(t.pageY-e.pageY,2)<Math.pow(e.distance,2))break;t.target=e.target,i.hijack(t,\"dragstart\",e),e.propagates&&(e.dragging=!0);case\"touchmove\":t.preventDefault();case\"mousemove\":if(e.dragging){if(i.hijack(t,\"drag\",e),e.propagates){!1!==e.drop&&o.drop&&o.drop.handler(t,e);break}t.type=\"mouseup\"}case\"touchend\":case\"mouseup\":default:i.touched?r.remove(i.touched,\"touchmove touchend\",i.handler):r.remove(document,\"mousemove mouseup\",i.handler),e.dragging&&(!1!==e.drop&&o.drop&&o.drop.handler(t,e),i.hijack(t,\"dragend\",e)),i.textselect(!0),!1===e.click&&e.dragging&&n.data(e.mousedown,\"suppress.click\",(new Date).getTime()+5),e.dragging=i.touched=!1}},hijack:function(t,e,a,o,d){if(a){var s,c,l,p={event:t.originalEvent,type:t.type},u=e.indexOf(\"drop\")?\"drag\":\"drop\",g=o||0,h=isNaN(o)?a.interactions.length:o;t.type=e;var f=function(){};t.originalEvent=new n.Event(p.event,{preventDefault:f,stopPropagation:f,stopImmediatePropagation:f}),a.results=[];do{if(c=a.interactions[g]){if(\"dragend\"!==e&&c.cancelled)continue;l=i.properties(t,a,c),c.results=[],n(d||c[u]||a.droppable).each((function(o,d){if(l.target=d,t.isPropagationStopped=function(){return!1},!1===(s=d?r.dispatch.call(d,t,l):null)?(\"drag\"==u&&(c.cancelled=!0,a.propagates-=1),\"drop\"==e&&(c[u][o]=null)):\"dropinit\"==e&&c.droppable.push(i.element(s)||d),\"dragstart\"==e&&(c.proxy=n(i.element(s)||c.drag)[0]),c.results.push(s),delete t.result,\"dropinit\"!==e)return s})),a.results[g]=i.flatten(c.results),\"dropinit\"==e&&(c.droppable=i.flatten(c.droppable)),\"dragstart\"!=e||c.cancelled||l.update()}}while(++g<h);return t.type=p.type,t.originalEvent=p.event,i.flatten(a.results)}},properties:function(t,e,a){var n=a.callback;return n.drag=a.drag,n.proxy=a.proxy||a.drag,n.startX=e.pageX,n.startY=e.pageY,n.deltaX=t.pageX-e.pageX,n.deltaY=t.pageY-e.pageY,n.originalX=a.offset.left,n.originalY=a.offset.top,n.offsetX=n.originalX+n.deltaX,n.offsetY=n.originalY+n.deltaY,n.drop=i.flatten((a.drop||[]).slice()),n.available=i.flatten((a.droppable||[]).slice()),n},element:function(t){if(t&&(t.jquery||1==t.nodeType))return t},flatten:function(t){return n.map(t,(function(t){return t&&t.jquery?n.makeArray(t):t&&t.length?i.flatten(t):t}))},textselect:function(t){n(document)[t?\"off\":\"on\"](\"selectstart\",i.dontstart).css(\"MozUserSelect\",t?\"\":\"none\"),document.unselectable=t?\"off\":\"on\"},dontstart:function(){return!1},callback:function(){}};i.callback.prototype={update:function(){o.drop&&this.available.length&&n.each(this.available,(function(t){o.drop.locate(this,t)}))}};var d=r.dispatch;r.dispatch=function(t){if(!(n.data(this,\"suppress.\"+t.type)-(new Date).getTime()>0))return d.apply(this,arguments);n.removeData(this,\"suppress.\"+t.type)},o.draginit=o.dragstart=o.dragend=i},\n      451: function _(t,e,a){\n      /*!\n           * jquery.event.drop - v 2.3.0\n           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n           * Open Source MIT License - http://threedubmedia.com/code/license\n           */\n      var n=t(443);n.fn.drop=function(t,e,a){var i=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==i.indexOf(\"drop\")&&(i=\"drop\"+i),a=(t==o?e:a)||{},o?this.on(i,a,o):this.trigger(i)},n.drop=function(t){t=t||{},o.multi=!0===t.multi?1/0:!1===t.multi?1:isNaN(t.multi)?o.multi:t.multi,o.delay=t.delay||o.delay,o.tolerance=n.isFunction(t.tolerance)?t.tolerance:null===t.tolerance?null:o.tolerance,o.mode=t.mode||o.mode||\"intersect\"};var i=n.event.special,o=n.event.special.drop={multi:1,delay:20,mode:\"overlap\",targets:[],datakey:\"dropdata\",noBubble:!0,add:function(t){n.data(this,o.datakey).related+=1},remove:function(){n.data(this,o.datakey).related-=1},setup:function(){if(!n.data(this,o.datakey)){n.data(this,o.datakey,{related:0,active:[],anyactive:0,winner:0,location:{}}),o.targets.push(this)}},teardown:function(){if(!(n.data(this,o.datakey)||{}).related){n.removeData(this,o.datakey);var t=this;o.targets=n.grep(o.targets,(function(e){return e!==t}))}},handler:function(t,e){var a;if(e)switch(t.type){case\"mousedown\":case\"touchstart\":a=n(o.targets),\"string\"==typeof e.drop&&(a=a.filter(e.drop)),a.each((function(){var t=n.data(this,o.datakey);t.active=[],t.anyactive=0,t.winner=0})),e.droppable=a,i.drag.hijack(t,\"dropinit\",e);break;case\"mousemove\":case\"touchmove\":o.event=t,o.timer||o.tolerate(e);break;case\"mouseup\":case\"touchend\":o.timer=clearTimeout(o.timer),e.propagates&&(i.drag.hijack(t,\"drop\",e),i.drag.hijack(t,\"dropend\",e))}},locate:function(t,e){var a=n.data(t,o.datakey),i=n(t),r=i.offset()||{},d=i.outerHeight(),l=i.outerWidth(),c={elem:t,width:l,height:d,top:r.top,left:r.left,right:r.left+l,bottom:r.top+d};return a&&(a.location=c,a.index=e,a.elem=t),c},contains:function(t,e){return(e[0]||e.left)>=t.left&&(e[0]||e.right)<=t.right&&(e[1]||e.top)>=t.top&&(e[1]||e.bottom)<=t.bottom},modes:{intersect:function(t,e,a){return this.contains(a,[t.pageX,t.pageY])?1e9:this.modes.overlap.apply(this,arguments)},overlap:function(t,e,a){return Math.max(0,Math.min(a.bottom,e.bottom)-Math.max(a.top,e.top))*Math.max(0,Math.min(a.right,e.right)-Math.max(a.left,e.left))},fit:function(t,e,a){return this.contains(a,e)?1:0},middle:function(t,e,a){return this.contains(a,[e.left+.5*e.width,e.top+.5*e.height])?1:0}},sort:function(t,e){return e.winner-t.winner||t.index-e.index},tolerate:function(t){var 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i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}function a(e){var t=this.selectionStart,i=this.value.length;(e.keyCode===n.ui.keyCode.LEFT&&t>0||e.keyCode===n.ui.keyCode.RIGHT&&t<i-1)&&e.stopImmediatePropagation()}function s(e){e.keyCode!==n.ui.keyCode.LEFT&&e.keyCode!==n.ui.keyCode.RIGHT||e.stopImmediatePropagation()}l.DefaultDecimalPlaces=null,l.AllowEmptyValue=!1,t.exports={Editors:{Text:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.getValue=function(){return t.val()},this.setValue=function(e){t.val(e)},this.loadValue=function(n){i=n[e.column.field]||\"\",t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Integer:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid integer\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Float:l,Date:function(e){var t,i,o=!1;this.init=function(){(t=n(\"<INPUT type=text class='editor-text' />\")).appendTo(e.container),t.focus().select(),t.datepicker({showOn:\"button\",buttonImageOnly:!0,beforeShow:function(){o=!0},onClose:function(){o=!1}}),t.width(t.width()-18)},this.destroy=function(){n.datepicker.dpDiv.stop(!0,!0),t.datepicker(\"hide\"),t.datepicker(\"destroy\"),t.remove()},this.show=function(){o&&n.datepicker.dpDiv.stop(!0,!0).show()},this.hide=function(){o&&n.datepicker.dpDiv.stop(!0,!0).hide()},this.position=function(e){o&&n.datepicker.dpDiv.css(\"top\",e.top+30).css(\"left\",e.left)},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},YesNoSelect:function(e){var t,i;this.init=function(){(t=n(\"<SELECT tabIndex='0' class='editor-yesno'><OPTION value='yes'>Yes</OPTION><OPTION value='no'>No</OPTION></SELECT>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){t.val((i=n[e.column.field])?\"yes\":\"no\"),t.select()},this.serializeValue=function(){return\"yes\"==t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return t.val()!=i},this.validate=function(){return{valid:!0,msg:null}},this.init()},Checkbox:function(e){var t,i;this.init=function(){(t=n(\"<INPUT type=checkbox value='true' class='editor-checkbox' hideFocus>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){(i=!!n[e.column.field])?t.prop(\"checked\",!0):t.prop(\"checked\",!1)},this.preClick=function(){t.prop(\"checked\",!t.prop(\"checked\"))},this.serializeValue=function(){return t.prop(\"checked\")},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return this.serializeValue()!==i},this.validate=function(){return{valid:!0,msg:null}},this.init()},PercentComplete:function(e){var t,i,o;this.init=function(){(t=n(\"<INPUT type=text class='editor-percentcomplete' />\")).width(n(e.container).innerWidth()-25),t.appendTo(e.container),(i=n(\"<div class='editor-percentcomplete-picker' />\").appendTo(e.container)).append(\"<div class='editor-percentcomplete-helper'><div class='editor-percentcomplete-wrapper'><div class='editor-percentcomplete-slider' /><div class='editor-percentcomplete-buttons' /></div></div>\"),i.find(\".editor-percentcomplete-buttons\").append(\"<button val=0>Not started</button><br/><button val=50>In Progress</button><br/><button val=100>Complete</button>\"),t.focus().select(),i.find(\".editor-percentcomplete-slider\").slider({orientation:\"vertical\",range:\"min\",value:o,slide:function(e,i){t.val(i.value)}}),i.find(\".editor-percentcomplete-buttons button\").on(\"click\",(function(e){t.val(n(this).attr(\"val\")),i.find(\".editor-percentcomplete-slider\").slider(\"value\",n(this).attr(\"val\"))}))},this.destroy=function(){t.remove(),i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(o=i[e.column.field]),t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==o)&&(parseInt(t.val(),10)||0)!=o},this.validate=function(){return isNaN(parseInt(t.val(),10))?{valid:!1,msg:\"Please enter a valid positive number\"}:{valid:!0,msg:null}},this.init()},LongText:function(e){var t,i,l,a=this;this.init=function(){var o=n(\"body\");e.grid.getOptions().editorCellNavOnLRKeys;i=n(\"<DIV style='z-index:10000;position:absolute;background:white;padding:5px;border:3px solid gray; -moz-border-radius:10px; border-radius:10px;'/>\").appendTo(o),t=n(\"<TEXTAREA hidefocus rows=5 style='background:white;width:250px;height:80px;border:0;outline:0'>\").appendTo(i),n(\"<DIV style='text-align:right'><BUTTON>Save</BUTTON><BUTTON>Cancel</BUTTON></DIV>\").appendTo(i),i.find(\"button:first\").on(\"click\",this.save),i.find(\"button:last\").on(\"click\",this.cancel),t.on(\"keydown\",this.handleKeyDown),a.position(e.position),t.focus().select()},this.handleKeyDown=function(t){if(t.which==o.keyCode.ENTER&&t.ctrlKey)a.save();else if(t.which==o.keyCode.ESCAPE)t.preventDefault(),a.cancel();else if(t.which==o.keyCode.TAB&&t.shiftKey)t.preventDefault(),e.grid.navigatePrev();else if(t.which==o.keyCode.TAB)t.preventDefault(),e.grid.navigateNext();else if((t.which==n.ui.keyCode.LEFT||t.which==n.ui.keyCode.RIGHT)&&e.grid.getOptions().editorCellNavOnLRKeys){var i=this.selectionStart,l=this.value.length;t.keyCode===n.ui.keyCode.LEFT&&0===i&&e.grid.navigatePrev(),t.keyCode===n.ui.keyCode.RIGHT&&i>=l-1&&e.grid.navigateNext()}},this.save=function(){e.commitChanges()},this.cancel=function(){t.val(l),e.cancelChanges()},this.hide=function(){i.hide()},this.show=function(){i.show()},this.position=function(e){i.css(\"top\",e.top-5).css(\"left\",e.left-5)},this.destroy=function(){i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(l=i[e.column.field]),t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==l)&&t.val()!=l},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}}}},\n      454: function _(e,n,r){e(445);n.exports={Formatters:{PercentComplete:function(e,n,r,t,c){return null==r||\"\"===r?\"-\":r<50?\"<span style='color:red;font-weight:bold;'>\"+r+\"%</span>\":\"<span style='color:green'>\"+r+\"%</span>\"},PercentCompleteBar:function(e,n,r,t,c){return null==r||\"\"===r?\"\":\"<span class='percent-complete-bar' style='background:\"+(r<30?\"red\":r<70?\"silver\":\"green\")+\";width:\"+r+\"%'></span>\"},YesNo:function(e,n,r,t,c){return r?\"Yes\":\"No\"},Checkmark:function(e,n,r,t,c){return r?\"<img src='../images/tick.png'>\":\"\"},Checkbox:function(e,n,r,t,c){return'<img class=\"slick-edit-preclick\" src=\"../images/'+(r?\"CheckboxY\":\"CheckboxN\")+'.png\">'}}}},\n      455: function _(t,o,r){var e=t(443),n=t(445);o.exports={RemoteModel:function(){var t={length:0},o=\"\",r=null,a=1,l=null,i=null,s=new n.Event,u=new n.Event;function f(){for(var o in t)delete t[o];t.length=0}function c(n,f){if(i){i.abort();for(var c=i.fromPage;c<=i.toPage;c++)t[50*c]=void 0}n<0&&(n=0),t.length>0&&(f=Math.min(f,t.length-1));for(var d=Math.floor(n/50),v=Math.floor(f/50);void 0!==t[50*d]&&d<v;)d++;for(;void 0!==t[50*v]&&d<v;)v--;if(d>v||d==v&&void 0!==t[50*d])u.notify({from:n,to:f});else{var m=\"http://octopart.com/api/v3/parts/search?apikey=68b25f31&include[]=short_description&show[]=uid&show[]=manufacturer&show[]=mpn&show[]=brand&show[]=octopart_url&show[]=short_description&q=\"+o+\"&start=\"+50*d+\"&limit=\"+(50*(v-d)+50);null!=r&&(m+=\"&sortby=\"+r+(a>0?\"+asc\":\"+desc\")),null!=l&&clearTimeout(l),l=setTimeout((function(){for(var o=d;o<=v;o++)t[50*o]=null;s.notify({from:n,to:f}),(i=e.jsonp({url:m,callbackParameter:\"callback\",cache:!0,success:h,error:function(){!function(t,o){alert(\"error loading pages \"+t+\" to \"+o)}(d,v)}})).fromPage=d,i.toPage=v}),50)}}function h(o){var r=o.request.start,e=r+o.results.length;t.length=Math.min(parseInt(o.hits),1e3);for(var n=0;n<o.results.length;n++){var a=o.results[n].item;t[r+n]=a,t[r+n].index=r+n}i=null,u.notify({from:r,to:e})}return{data:t,clear:f,isDataLoaded:function(o,r){for(var e=o;e<=r;e++)if(null==t[e]||null==t[e])return!1;return!0},ensureData:c,reloadData:function(o,r){for(var e=o;e<=r;e++)delete t[e];c(o,r)},setSort:function(t,o){r=t,a=o,f()},setSearch:function(t){o=t,f()},onDataLoading:s,onDataLoaded:u}}}},\n      456: function _(e,s,t){var a=e(443),o=e(445);s.exports={GroupItemMetadataProvider:function(e){var s,t={checkboxSelect:!1,checkboxSelectCssClass:\"slick-group-select-checkbox\",checkboxSelectPlugin:null,groupCssClass:\"slick-group\",groupTitleCssClass:\"slick-group-title\",totalsCssClass:\"slick-group-totals\",groupFocusable:!0,totalsFocusable:!1,toggleCssClass:\"slick-group-toggle\",toggleExpandedCssClass:\"expanded\",toggleCollapsedCssClass:\"collapsed\",enableExpandCollapse:!0,groupFormatter:function(s,t,a,o,l,c){if(!e.enableExpandCollapse)return l.title;var r=15*l.level+\"px\";return(e.checkboxSelect?'<span class=\"'+e.checkboxSelectCssClass+\" \"+(l.selectChecked?\"checked\":\"unchecked\")+'\"></span>':\"\")+\"<span class='\"+e.toggleCssClass+\" \"+(l.collapsed?e.toggleCollapsedCssClass:e.toggleExpandedCssClass)+\"' style='margin-left:\"+r+\"'></span><span class='\"+e.groupTitleCssClass+\"' level='\"+l.level+\"'>\"+l.title+\"</span>\"},totalsFormatter:function(e,s,t,a,o,l){return a.groupTotalsFormatter&&a.groupTotalsFormatter(o,a,l)||\"\"}};function l(t,l){var c=a(t.target),r=this.getDataItem(l.row);if(r&&r instanceof o.Group&&c.hasClass(e.toggleCssClass)){var n=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:n.top,ignoreDiffsAfter:n.bottom+1}),r.collapsed?this.getData().expandGroup(r.groupingKey):this.getData().collapseGroup(r.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}if(r&&r instanceof o.Group&&c.hasClass(e.checkboxSelectCssClass)){r.selectChecked=!r.selectChecked,c.removeClass(r.selectChecked?\"unchecked\":\"checked\"),c.addClass(r.selectChecked?\"checked\":\"unchecked\");var i=s.getData().mapItemsToRows(r.rows);(r.selectChecked?e.checkboxSelectPlugin.selectRows:e.checkboxSelectPlugin.deSelectRows)(i)}}function c(t,a){if(e.enableExpandCollapse&&t.which==o.keyCode.SPACE){var l=this.getActiveCell();if(l){var c=this.getDataItem(l.row);if(c&&c instanceof o.Group){var r=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:r.top,ignoreDiffsAfter:r.bottom+1}),c.collapsed?this.getData().expandGroup(c.groupingKey):this.getData().collapseGroup(c.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}}}}return e=a.extend(!0,{},t,e),{init:function(e){(s=e).onClick.subscribe(l),s.onKeyDown.subscribe(c)},destroy:function(){s&&(s.onClick.unsubscribe(l),s.onKeyDown.unsubscribe(c))},getGroupRowMetadata:function(s){return{selectable:!1,focusable:e.groupFocusable,cssClasses:e.groupCssClass,columns:{0:{colspan:\"*\",formatter:e.groupFormatter,editor:null}}}},getTotalsRowMetadata:function(s){return{selectable:!1,focusable:e.totalsFocusable,cssClasses:e.totalsCssClass,formatter:e.totalsFormatter,editor:null}}}}}},\n      457: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),n=e(458),c=e(98),a=s.__importStar(e(18));class o extends n.Widget{constructor(e){super(e)}static init_TableWidget(){this.define({source:[a.Instance],view:[a.Instance,()=>new c.CDSView]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.source,this.view.compute_indices())}}t.TableWidget=o,o.__name__=\"TableWidget\",o.init_TableWidget()},\n      458: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(249),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n      459: function _(e,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_data_table=\"bk-data-table\",b.bk_cell_index=\"bk-cell-index\",b.bk_header_index=\"bk-header-index\",b.bk_cell_editor=\"bk-cell-editor\",b.bk_cell_select=\"bk-cell-select\"},\n      460: function _(A,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default='\\n.bk-root {\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /* Menu button */\\n  /* Menu */\\n  /* Menu items */\\n  /* Disabled */\\n}\\n.bk-root .slick-header.ui-state-default,\\n.bk-root .slick-headerrow.ui-state-default,\\n.bk-root .slick-footerrow.ui-state-default,\\n.bk-root .slick-top-panel-scroller.ui-state-default {\\n  width: 100%;\\n  overflow: auto;\\n  position: relative;\\n  border-left: 0px !important;\\n}\\n.bk-root .slick-header.ui-state-default {\\n  overflow: inherit;\\n}\\n.bk-root .slick-header::-webkit-scrollbar,\\n.bk-root .slick-headerrow::-webkit-scrollbar,\\n.bk-root .slick-footerrow::-webkit-scrollbar {\\n  display: none;\\n}\\n.bk-root .slick-header-columns,\\n.bk-root .slick-headerrow-columns,\\n.bk-root .slick-footerrow-columns {\\n  position: relative;\\n  white-space: nowrap;\\n  cursor: default;\\n  overflow: hidden;\\n}\\n.bk-root .slick-header-column.ui-state-default {\\n  position: relative;\\n  display: inline-block;\\n  box-sizing: content-box !important;\\n  /* this here only for Firefox! */\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  height: 16px;\\n  line-height: 16px;\\n  margin: 0;\\n  padding: 4px;\\n  border-right: 1px solid silver;\\n  border-left: 0px !important;\\n  border-top: 0px !important;\\n  border-bottom: 0px !important;\\n  float: left;\\n}\\n.bk-root .slick-headerrow-column.ui-state-default,\\n.bk-root .slick-footerrow-column.ui-state-default {\\n  padding: 4px;\\n}\\n.bk-root .slick-header-column-sorted {\\n  font-style: italic;\\n}\\n.bk-root .slick-sort-indicator {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 6px;\\n  float: left;\\n}\\n.bk-root .slick-sort-indicator-numbered {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 0;\\n  line-height: 20px;\\n  float: left;\\n  font-family: Arial;\\n  font-style: normal;\\n  font-weight: bold;\\n  color: #6190CD;\\n}\\n.bk-root .slick-sort-indicator-desc {\\n  background: url(images/sort-desc.gif);\\n}\\n.bk-root .slick-sort-indicator-asc {\\n  background: url(images/sort-asc.gif);\\n}\\n.bk-root .slick-resizable-handle {\\n  position: absolute;\\n  font-size: 0.1px;\\n  display: block;\\n  cursor: col-resize;\\n  width: 9px;\\n  right: -5px;\\n  top: 0;\\n  height: 100%;\\n  z-index: 1;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver;\\n}\\n.bk-root .grid-canvas {\\n  position: relative;\\n  outline: 0;\\n}\\n.bk-root .slick-row.ui-widget-content,\\n.bk-root .slick-row.ui-state-active {\\n  position: absolute;\\n  border: 0px;\\n  width: 100%;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column,\\n.bk-root .slick-footerrow-column {\\n  position: absolute;\\n  border: 1px solid transparent;\\n  border-right: 1px dotted silver;\\n  border-bottom-color: silver;\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  vertical-align: middle;\\n  z-index: 1;\\n  padding: 1px 2px 2px 1px;\\n  margin: 0;\\n  white-space: nowrap;\\n  cursor: default;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column {\\n  border-bottom-color: silver;\\n}\\n.bk-root .slick-footerrow-column {\\n  border-top-color: silver;\\n}\\n.bk-root .slick-group-toggle {\\n  display: inline-block;\\n}\\n.bk-root .slick-cell.highlighted {\\n  background: lightskyblue;\\n  background: rgba(0, 0, 255, 0.2);\\n  -webkit-transition: all 0.5s;\\n  -moz-transition: all 0.5s;\\n  -o-transition: all 0.5s;\\n  transition: all 0.5s;\\n}\\n.bk-root .slick-cell.flashing {\\n  border: 1px solid red !important;\\n}\\n.bk-root .slick-cell.editable {\\n  z-index: 11;\\n  overflow: visible;\\n  background: white;\\n  border-color: black;\\n  border-style: solid;\\n}\\n.bk-root .slick-cell:focus {\\n  outline: none;\\n}\\n.bk-root .slick-reorder-proxy {\\n  display: inline-block;\\n  background: blue;\\n  opacity: 0.15;\\n  cursor: move;\\n}\\n.bk-root .slick-reorder-guide {\\n  display: inline-block;\\n  height: 2px;\\n  background: blue;\\n  opacity: 0.7;\\n}\\n.bk-root .slick-selection {\\n  z-index: 10;\\n  position: absolute;\\n  border: 2px dashed black;\\n}\\n.bk-root .slick-header-columns {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-bottom: 1px solid silver;\\n}\\n.bk-root .slick-header-column {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-right: 1px solid silver;\\n}\\n.bk-root .slick-header-column:hover,\\n.bk-root .slick-header-column-active {\\n  background: white url(\\'images/header-columns-over-bg.gif\\') repeat-x center bottom;\\n}\\n.bk-root .slick-headerrow {\\n  background: #fafafa;\\n}\\n.bk-root .slick-headerrow-column {\\n  background: #fafafa;\\n  border-bottom: 0;\\n  height: 100%;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row {\\n  position: absolute;\\n  background: white;\\n  border: 0px;\\n  line-height: 20px;\\n}\\n.bk-root .slick-row.selected {\\n  z-index: 10;\\n  background: #DFE8F6;\\n}\\n.bk-root .slick-cell {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .slick-group {\\n  border-bottom: 2px solid silver;\\n}\\n.bk-root .slick-group-toggle {\\n  width: 9px;\\n  height: 9px;\\n  margin-right: 5px;\\n}\\n.bk-root .slick-group-toggle.expanded {\\n  background: url(images/collapse.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-toggle.collapsed {\\n  background: url(images/expand.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-totals {\\n  color: gray;\\n  background: white;\\n}\\n.bk-root .slick-group-select-checkbox {\\n  width: 13px;\\n  height: 13px;\\n  margin: 3px 10px 0 0;\\n  display: inline-block;\\n}\\n.bk-root .slick-group-select-checkbox.checked {\\n  background: url(images/GrpCheckboxY.png) no-repeat center center;\\n}\\n.bk-root .slick-group-select-checkbox.unchecked {\\n  background: url(images/GrpCheckboxN.png) no-repeat center center;\\n}\\n.bk-root .slick-cell.selected {\\n  background-color: beige;\\n}\\n.bk-root .slick-cell.active {\\n  border-color: gray;\\n  border-style: solid;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver !important;\\n}\\n.bk-root .slick-row.odd {\\n  background: #fafafa;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row.loading {\\n  opacity: 0.5;\\n}\\n.bk-root .slick-cell.invalid {\\n  border-color: red;\\n  -moz-animation-duration: 0.2s;\\n  -webkit-animation-duration: 0.2s;\\n  -moz-animation-name: slickgrid-invalid-hilite;\\n  -webkit-animation-name: slickgrid-invalid-hilite;\\n}\\n@-moz-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n@-webkit-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n.bk-root .slick-column-name,\\n.bk-root .slick-sort-indicator {\\n  /**\\n   * This makes all \"float:right\" elements after it that spill over to the next line\\n   * display way below the lower boundary of the column thus hiding them.\\n   */\\n  display: inline-block;\\n  float: left;\\n  margin-bottom: 100px;\\n}\\n.bk-root .slick-header-button {\\n  display: inline-block;\\n  float: right;\\n  vertical-align: top;\\n  margin: 1px;\\n  /**\\n  * This makes all \"float:right\" elements after it that spill over to the next line\\n  * display way below the lower boundary of the column thus hiding them.\\n  */\\n  margin-bottom: 100px;\\n  height: 15px;\\n  width: 15px;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-button-hidden {\\n  width: 0;\\n  -webkit-transition: 0.2s width;\\n  -ms-transition: 0.2s width;\\n  transition: 0.2s width;\\n}\\n.bk-root .slick-header-column:hover > .slick-header-button {\\n  width: 15px;\\n}\\n.bk-root .slick-header-menubutton {\\n  position: absolute;\\n  right: 0;\\n  top: 0;\\n  bottom: 0;\\n  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border: 1px solid gray;\\n  border-top: 0;\\n  background: url(\\'../images/header-columns-bg.gif\\') repeat-x center bottom;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-status {\\n  display: inline-block;\\n  padding: 6px;\\n}\\n.bk-root .slick-pager .ui-icon-container {\\n  display: inline-block;\\n  margin: 2px;\\n  border-color: gray;\\n}\\n.bk-root .slick-pager .slick-pager-nav {\\n  display: inline-block;\\n  float: left;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings {\\n  display: block;\\n  float: right;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings * {\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-settings a {\\n  padding: 2px;\\n  text-decoration: underline;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-columns {\\n  background-image: 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o.source=\"function(\"+(n.variable||\"obj\")+\"){\\n\"+c+\"}\",o},e.exports=p},\n      465: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),o=t(462),n=t(440),l=r.__importStar(t(18)),a=t(24),d=t(71);class s extends d.Model{constructor(t){super(t)}static init_TableColumn(){this.define({field:[l.String],title:[l.String],width:[l.Number,300],formatter:[l.Instance,()=>new o.StringFormatter],editor:[l.Instance,()=>new n.StringEditor],sortable:[l.Boolean,!0],default_sort:[l.Sort,\"ascending\"]})}toColumn(){var t;return{id:a.uniqueId(),field:this.field,name:null!==(t=this.title)&&void 0!==t?t:this.field,width:this.width,formatter:null!=this.formatter?this.formatter.doFormat.bind(this.formatter):void 0,model:this.editor,editor:this.editor.default_view,sortable:this.sortable,defaultSortAsc:\"ascending\"==this.default_sort}}}i.TableColumn=s,s.__name__=\"TableColumn\",s.init_TableColumn()},\n      466: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=t(1),a=t(448),{Avg:i,Min:o,Max:g,Sum:n}=a.Data.Aggregators,u=r.__importStar(t(18)),c=t(71);class _ extends c.Model{constructor(t){super(t)}static init_RowAggregator(){this.define({field_:[u.String,\"\"]})}}s.RowAggregator=_,_.__name__=\"RowAggregator\",_.init_RowAggregator();const l=new i;class m extends _{constructor(){super(...arguments),this.key=\"avg\",this.init=l.init,this.accumulate=l.accumulate,this.storeResult=l.storeResult}}s.AvgAggregator=m,m.__name__=\"AvgAggregator\";const h=new o;class A extends _{constructor(){super(...arguments),this.key=\"min\",this.init=h.init,this.accumulate=h.accumulate,this.storeResult=h.storeResult}}s.MinAggregator=A,A.__name__=\"MinAggregator\";const R=new g;class d extends _{constructor(){super(...arguments),this.key=\"max\",this.init=R.init,this.accumulate=R.accumulate,this.storeResult=R.storeResult}}s.MaxAggregator=d,d.__name__=\"MaxAggregator\";const x=new n;class w extends _{constructor(){super(...arguments),this.key=\"sum\",this.init=x.init,this.accumulate=x.accumulate,this.storeResult=x.storeResult}}s.SumAggregator=w,w.__name__=\"SumAggregator\"},\n      467: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1).__importStar(t(18)),r=t(68),i=t(448),a=t(441),n=t(71);function l(t,e,s,o,i){const{collapsed:a,level:n,title:l}=i,u=r.span({class:\"slick-group-toggle \"+(a?\"collapsed\":\"expanded\"),style:{\"margin-left\":15*n+\"px\"}}),g=r.span({class:\"slick-group-title\",level:n},l);return`${u.outerHTML}${g.outerHTML}`}function u(t,e){const s=this.getDataItem(e.row);s instanceof i.Group&&t.target.classList.contains(\"slick-group-toggle\")&&(s.collapsed?this.getData().expandGroup(s.groupingKey):this.getData().collapseGroup(s.groupingKey),t.stopImmediatePropagation(),t.preventDefault(),this.invalidate(),this.render())}class g extends n.Model{constructor(t){super(t)}static init_GroupingInfo(){this.define({getter:[o.String,\"\"],aggregators:[o.Array,[]],collapsed:[o.Boolean,!1]})}get comparer(){return(t,e)=>t.value===e.value?0:t.value>e.value?1:-1}}s.GroupingInfo=g,g.__name__=\"GroupingInfo\",g.init_GroupingInfo();class c extends a.TableDataProvider{constructor(t,e,s,o){super(t,e),this.columns=s,this.groupingInfos=[],this.groupingDelimiter=\":|:\",this.target=o}setGrouping(t){this.groupingInfos=t,this.toggledGroupsByLevel=t.map(()=>({})),this.refresh()}extractGroups(t,e){const s=[],o=new Map,r=e?e.level+1:0,{comparer:a,getter:n}=this.groupingInfos[r];return t.forEach(t=>{const a=this.source.data[n][t];let l=o.get(a);if(!l){const t=e?`${e.groupingKey}${this.groupingDelimiter}${a}`:\"\"+a;l=Object.assign(new i.Group,{value:a,level:r,groupingKey:t}),s.push(l),o.set(a,l)}l.rows.push(t)}),r<this.groupingInfos.length-1&&s.forEach(t=>{t.groups=this.extractGroups(t.rows,t)}),s.sort(a),s}calculateTotals(t,e){const s={avg:{},max:{},min:{},sum:{}},{source:{data:o}}=this,r=Object.keys(o),i=t.rows.map(t=>r.reduce((e,s)=>Object.assign(Object.assign({},e),{[s]:o[s][t]}),{}));return e.forEach(t=>{t.init(),i.forEach(e=>t.accumulate(e)),t.storeResult(s)}),s}addTotals(t,e=0){const{aggregators:s,collapsed:o}=this.groupingInfos[e],r=this.toggledGroupsByLevel[e];t.forEach(t=>{t.groups&&this.addTotals(t.groups,e+1),s.length&&t.rows.length&&(t.totals=this.calculateTotals(t,s)),t.collapsed=o!==r[t.groupingKey],t.title=t.value?\"\"+t.value:\"\"})}flattenedGroupedRows(t,e=0){const s=[];return t.forEach(t=>{if(s.push(t),!t.collapsed){const o=t.groups?this.flattenedGroupedRows(t.groups,e+1):t.rows;s.push(...o)}}),s}refresh(){const t=this.extractGroups(this.view.indices),e=this.source.data[this.columns[0].field];t.length&&(this.addTotals(t),this.rows=this.flattenedGroupedRows(t),this.target.data={row_indices:this.rows.map(t=>t instanceof i.Group?t.rows:t),labels:this.rows.map(t=>t instanceof i.Group?t.title:e[t])})}getLength(){return this.rows.length}getItem(t){const e=this.rows[t],{source:{data:s}}=this;return e instanceof i.Group?e:Object.keys(s).reduce((t,o)=>Object.assign(Object.assign({},t),{[o]:s[o][e]}),{[a.DTINDEX_NAME]:e})}getItemMetadata(t){const e=this.rows[t],s=this.columns.slice(1),o=e instanceof i.Group?this.groupingInfos[e.level].aggregators:[];return e instanceof i.Group?{selectable:!1,focusable:!1,cssClasses:\"slick-group\",columns:[{formatter:l},...s.map((function(t){const{field:e,formatter:s}=t,r=o.find(({field_:t})=>t===e);if(r){const{key:t}=r;return{formatter:(o,r,i,a,n)=>s?s(o,r,n.totals[t][e],a,n):\"\"}}return{}}))]}:{}}collapseGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=!this.groupingInfos[e].collapsed,this.refresh()}expandGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=this.groupingInfos[e].collapsed,this.refresh()}}s.DataCubeProvider=c,c.__name__=\"DataCubeProvider\";class p extends a.DataTableView{render(){const t={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:!1,forceFitColumns:this.model.fit_columns,multiColumnSort:!1,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height},e=this.model.columns.map(t=>t.toColumn());var s,o;e[0].formatter=(s=e[0].formatter,o=this.model.grouping.length,(t,e,i,a,n)=>{const l=r.span({class:\"slick-group-toggle\",style:{\"margin-left\":15*(o||0)+\"px\"}}),u=s?s(t,e,i,a,n):\"\"+i;return`${l.outerHTML}${u&&u.replace(/^<div/,\"<span\").replace(/div>$/,\"span>\")}`}),delete e[0].editor,this.data=new c(this.model.source,this.model.view,e,this.model.target),this.data.setGrouping(this.model.grouping),this.el.style.width=this.model.width+\"px\",this.grid=new i.Grid(this.el,this.data,e,t),this.grid.onClick.subscribe(u)}}s.DataCubeView=p,p.__name__=\"DataCubeView\";class h extends a.DataTable{constructor(t){super(t)}static init_DataCube(){this.prototype.default_view=p,this.define({grouping:[o.Array,[]],target:[o.Instance]})}}s.DataCube=h,h.__name__=\"DataCube\",h.init_DataCube()},\n      }, 438, {\"models/widgets/tables/main\":438,\"models/widgets/tables/index\":439,\"models/widgets/tables/cell_editors\":440,\"models/widgets/tables/data_table\":441,\"models/widgets/tables/table_widget\":457,\"models/widgets/widget\":458,\"styles/widgets/tables\":459,\"styles/widgets/slickgrid.css\":460,\"styles/widgets/tables.css\":461,\"models/widgets/tables/cell_formatters\":462,\"models/widgets/tables/table_column\":465,\"models/widgets/tables/row_aggregators\":466,\"models/widgets/tables/data_cube\":467}, {});\n      })\n\n\n      /* END bokeh-tables.min.js */\n    },\n    \n    function(Bokeh) {\n      /* BEGIN bokeh-gl.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], \"2.1.1\");\n      })(this, function(Bokeh, version) {\n        var define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      370: function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(371)},\n      371: function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);\n      /*\n          Copyright notice: many of the awesome techniques and  GLSL code contained in\n          this module are based on work by Nicolas Rougier as part of the Glumpy and\n          Vispy projects. The algorithms are published in\n          http://jcgt.org/published/0003/04/01/ and http://jcgt.org/published/0002/02/08/\n          \n          This module contains all gl-specific code to add gl support for the glyphs.\n          By implementing it separetely, the GL functionality can be spun off in a\n          separate library.\n          Other locations where we work with GL, or prepare for GL-rendering:\n          - canvas.ts\n          - plot.ts\n          - glyph.ts\n          - glyph_renderer.ts\n          */o.__exportStar(e(372),_),o.__exportStar(e(377),_)},\n      372: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(373),a=t(374),n=t(375),_=t(376),o=t(20);class h{constructor(t){this._atlas={},this._index=0,this._width=256,this._height=256,this.tex=new i.Texture2D(t),this.tex.set_wrapping(t.REPEAT,t.REPEAT),this.tex.set_interpolation(t.NEAREST,t.NEAREST),this.tex.set_size([this._height,this._width],t.RGBA),this.tex.set_data([0,0],[this._height,this._width],new Uint8Array(this._height*this._width*4)),this.get_atlas_data([1])}get_atlas_data(t){const e=t.join(\"-\");if(void 0===this._atlas[e]){const[s,i]=this.make_pattern(t);this.tex.set_data([this._index,0],[1,this._width],new Uint8Array(s.map(t=>t+10))),this._atlas[e]=[this._index/this._height,i],this._index+=1}return this._atlas[e]}make_pattern(t){t.length>1&&t.length%2&&(t=t.concat(t));let e=0;for(const s of t)e+=s;const s=[];let i=0;for(let e=0,a=t.length+2;e<a;e+=2){const a=Math.max(1e-4,t[e%t.length]),n=Math.max(1e-4,t[(e+1)%t.length]);s.push(i,i+a),i+=a+n}const a=this._width,n=new Float32Array(4*a);for(let t=0,i=a;t<i;t++){let i,_,o;const h=e*t/(a-1);let r=0,l=1e16;for(let t=0,e=s.length;t<e;t++){const e=Math.abs(s[t]-h);e<l&&(r=t,l=e)}r%2==0?(o=h<=s[r]?1:0,_=s[r],i=s[r+1]):(o=h>s[r]?-1:0,_=s[r-1],i=s[r]),n[4*t+0]=s[r],n[4*t+1]=o,n[4*t+2]=_,n[4*t+3]=i}return[n,e]}}h.__name__=\"DashAtlas\";const r={miter:0,round:1,bevel:2},l={\"\":0,none:0,\".\":0,round:1,\")\":1,\"(\":1,o:1,\"triangle in\":2,\"<\":2,\"triangle out\":3,\">\":3,square:4,\"[\":4,\"]\":4,\"=\":4,butt:5,\"|\":5};class g extends a.BaseGLGlyph{init(){const{gl:t}=this;this._scale_aspect=0;const e=n.vertex_shader,s=_.fragment_shader;this.prog=new i.Program(t),this.prog.set_shaders(e,s),this.index_buffer=new i.IndexBuffer(t),this.vbo_position=new i.VertexBuffer(t),this.vbo_tangents=new i.VertexBuffer(t),this.vbo_segment=new i.VertexBuffer(t),this.vbo_angles=new i.VertexBuffer(t),this.vbo_texcoord=new i.VertexBuffer(t),this.dash_atlas=new h(t)}draw(t,e,s){const i=e.glglyph;if(i.data_changed){if(!isFinite(s.dx)||!isFinite(s.dy))return;i._baked_offset=[s.dx,s.dy],i._set_data(),i.data_changed=!1}this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);let{sx:a,sy:n}=s;const _=Math.sqrt(a*a+n*n);a/=_,n/=_,Math.abs(this._scale_aspect-n/a)>Math.abs(.001*this._scale_aspect)&&(i._update_scale(a,n),this._scale_aspect=n/a),this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord),this.prog.set_uniform(\"u_length\",\"float\",[i.cumsum]),this.prog.set_texture(\"u_dash_atlas\",this.dash_atlas.tex);const o=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[s.dx-o[0],s.dy-o[1]]),this.prog.set_uniform(\"u_scale_aspect\",\"vec2\",[a,n]),this.prog.set_uniform(\"u_scale_length\",\"float\",[_]),this.I_triangles=i.I_triangles,this.I_triangles.length<65535)this.index_buffer.set_size(2*this.I_triangles.length),this.index_buffer.set_data(0,new Uint16Array(this.I_triangles)),this.prog.draw(this.gl.TRIANGLES,this.index_buffer);else{t=Array.from(this.I_triangles);const e=this.I_triangles.length,s=64008,a=[];for(let t=0,i=Math.ceil(e/s);t<i;t++)a.push([]);for(let e=0,i=t.length;e<i;e++){const i=t[e]%s;a[Math.floor(t[e]/s)].push(i)}for(let t=0,e=a.length;t<e;t++){const e=new Uint16Array(a[t]),n=t*s*4;0!==e.length&&(this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position,0,2*n),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents,0,4*n),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment,0,2*n),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles,0,2*n),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord,0,2*n),this.index_buffer.set_size(2*e.length),this.index_buffer.set_data(0,e),this.prog.draw(this.gl.TRIANGLES,this.index_buffer))}}}_set_data(){this._bake(),this.vbo_position.set_size(4*this.V_position.length),this.vbo_position.set_data(0,this.V_position),this.vbo_tangents.set_size(4*this.V_tangents.length),this.vbo_tangents.set_data(0,this.V_tangents),this.vbo_angles.set_size(4*this.V_angles.length),this.vbo_angles.set_data(0,this.V_angles),this.vbo_texcoord.set_size(4*this.V_texcoord.length),this.vbo_texcoord.set_data(0,this.V_texcoord)}_set_visuals(){const t=o.color2rgba(this.glyph.visuals.line.line_color.value(),this.glyph.visuals.line.line_alpha.value()),e=l[this.glyph.visuals.line.line_cap.value()],s=r[this.glyph.visuals.line.line_join.value()];this.prog.set_uniform(\"u_color\",\"vec4\",t),this.prog.set_uniform(\"u_linewidth\",\"float\",[this.glyph.visuals.line.line_width.value()]),this.prog.set_uniform(\"u_antialias\",\"float\",[.9]),this.prog.set_uniform(\"u_linecaps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_linejoin\",\"float\",[s]),this.prog.set_uniform(\"u_miter_limit\",\"float\",[10]);const i=this.glyph.visuals.line.line_dash.value();let a=0,n=1;i.length&&([a,n]=this.dash_atlas.get_atlas_data(i)),this.prog.set_uniform(\"u_dash_index\",\"float\",[a]),this.prog.set_uniform(\"u_dash_phase\",\"float\",[this.glyph.visuals.line.line_dash_offset.value()]),this.prog.set_uniform(\"u_dash_period\",\"float\",[n]),this.prog.set_uniform(\"u_dash_caps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_closed\",\"float\",[0])}_bake(){let t,e,s,i,a,n,_,o;const h=this.nvertices,r=new Float64Array(this.glyph._x),l=new Float64Array(this.glyph._y),g=_=new Float32Array(2*h),f=new Float32Array(2*h),u=o=new Float32Array(4*h);for(let t=0,e=h;t<e;t++)g[2*t+0]=r[t]+this._baked_offset[0],g[2*t+1]=l[t]+this._baked_offset[1];this.tangents=e=new Float32Array(2*h-2);for(let t=0,s=h-1;t<s;t++)e[2*t+0]=_[2*(t+1)+0]-_[2*t+0],e[2*t+1]=_[2*(t+1)+1]-_[2*t+1];for(let t=0,s=h-1;t<s;t++)u[4*(t+1)+0]=e[2*t+0],u[4*(t+1)+1]=e[2*t+1],u[4*t+2]=e[2*t+0],u[4*t+3]=e[2*t+1];u[0]=e[0],u[1]=e[1],u[4*(h-1)+2]=e[2*(h-2)+0],u[4*(h-1)+3]=e[2*(h-2)+1];const c=new Float32Array(h);for(let t=0,e=h;t<e;t++)c[t]=Math.atan2(o[4*t+0]*o[4*t+3]-o[4*t+1]*o[4*t+2],o[4*t+0]*o[4*t+2]+o[4*t+1]*o[4*t+3]);for(let t=0,e=h-1;t<e;t++)f[2*t+0]=c[t],f[2*t+1]=c[t+1];const d=4*h-4;this.V_position=i=new Float32Array(2*d),this.V_angles=s=new Float32Array(2*d),this.V_tangents=a=new Float32Array(4*d),this.V_texcoord=n=new Float32Array(2*d);for(let t=0,e=h;t<e;t++)for(let e=0;e<4;e++){for(let a=0;a<2;a++)i[2*(4*t+e-2)+a]=g[2*t+a],s[2*(4*t+e)+a]=f[2*t+a];for(let s=0;s<4;s++)a[4*(4*t+e-2)+s]=u[4*t+s]}for(let t=0,e=h;t<e;t++)n[2*(4*t+0)+0]=-1,n[2*(4*t+1)+0]=-1,n[2*(4*t+2)+0]=1,n[2*(4*t+3)+0]=1,n[2*(4*t+0)+1]=-1,n[2*(4*t+1)+1]=1,n[2*(4*t+2)+1]=-1,n[2*(4*t+3)+1]=1;const p=6*(h-1);this.I_triangles=t=new Uint32Array(p);for(let e=0,s=h;e<s;e++)t[6*e+0]=0+4*e,t[6*e+1]=1+4*e,t[6*e+2]=3+4*e,t[6*e+3]=2+4*e,t[6*e+4]=0+4*e,t[6*e+5]=3+4*e}_update_scale(t,e){let s;const i=this.nvertices,a=4*i-4,n=this.tangents,_=new Float32Array(i-1),o=new Float32Array(2*i);this.V_segment=s=new Float32Array(2*a);for(let s=0,a=i-1;s<a;s++)_[s]=Math.sqrt((n[2*s+0]*t)**2+(n[2*s+1]*e)**2);let h=0;for(let t=0,e=i-1;t<e;t++)h+=_[t],o[2*(t+1)+0]=h,o[2*t+1]=h;for(let t=0,e=i;t<e;t++)for(let e=0;e<4;e++)for(let i=0;i<2;i++)s[2*(4*t+e)+i]=o[2*t+i];this.cumsum=h,this.vbo_segment.set_size(4*this.V_segment.length),this.vbo_segment.set_data(0,this.V_segment)}}s.LineGLGlyph=g,g.__name__=\"LineGLGlyph\"},\n      373: function _(t,e,r){var n,o,i,a,s,l,h,u,c,_=function(t,e){return Array.isArray(t)&&Array.isArray(e)?t.concat(e):t+e},f=function(t,e){if(null==e);else{if(Array.isArray(e)){for(var r=0;r<e.length;r++)if(p(t,e[r]))return!0;return!1}if(e.constructor===Object){for(var n in e)if(t==n)return!0;return!1}if(e.constructor==String)return e.indexOf(t)>=0}var o=Error(\"Not a container: \"+e);throw o.name=\"TypeError\",o},p=function t(e,r){if(null==e||null==r);else{if(Array.isArray(e)&&Array.isArray(r)){for(var n=0,o=e.length==r.length;o&&n<e.length;)o=t(e[n],r[n]),n+=1;return o}if(e.constructor===Object&&r.constructor===Object){var i=Object.keys(e),a=Object.keys(r);i.sort(),a.sort();var s;for(n=0,o=t(i,a);o&&n<i.length;)o=t(e[s=i[n]],r[s]),n+=1;return o}}return e==r},d=function(t,e){if(void 0===t||\"undefined\"!=typeof window&&window===t||\"undefined\"!=typeof global&&global===t)throw\"Class constructor is called as a function.\";for(var r in t)void 0!==Object[r]||\"function\"!=typeof t[r]||t[r].nobind||(t[r]=t[r].bind(t));t.__init__&&t.__init__.apply(t,e)},y=function(t,e){if((\"number\"==typeof t)+(\"number\"==typeof e)===1){if(t.constructor===String)return A.call(t,e);if(e.constructor===String)return A.call(e,t);if(Array.isArray(e)){var r=t;t=e,e=r}if(Array.isArray(t)){for(var n=[],o=0;o<e;o++)n=n.concat(t);return n}}return t*e},g=function(t){return null===t||\"object\"!=typeof t?t:void 0!==t.length?!!t.length&&t:void 0!==t.byteLength?!!t.byteLength&&t:t.constructor!==Object||!!Object.getOwnPropertyNames(t).length&&t},v=function(t){if(!Array.isArray(this))return this.append.apply(this,arguments);this.push(t)},m=function(t,e){return this.constructor!==Object?this.get.apply(this,arguments):void 0!==this[t]?this[t]:void 0!==e?e:null},x=function(){return\"function\"==typeof this.keys?this.keys.apply(this,arguments):Object.keys(this)},b=function(t){if(this.constructor!==String)return this.lstrip.apply(this,arguments);t=void 0===t?\" \\t\\r\\n\":t;for(var e=0;e<this.length;e++)if(t.indexOf(this[e])<0)return this.slice(e);return\"\"},E=function(t){if(!Array.isArray(this))return this.remove.apply(this,arguments);for(var e=0;e<this.length;e++)if(p(this[e],t))return void this.splice(e,1);var r=Error(t);throw r.name=\"ValueError\",r},A=function(t){if(this.repeat)return this.repeat(t);if(t<1)return\"\";for(var e=\"\",r=this.valueOf();t>1;)1&t&&(e+=r),t>>=1,r+=r;return e+r},w=function(t){return this.constructor!==String?this.startswith.apply(this,arguments):0==this.indexOf(t)};c=window.console,u=function(t,e){var r,n,o,i,a,s,l;for(e=void 0===e?\"periodic check\":e,i=[];n=t.getError(),!(p(n,t.NO_ERROR)||g(i)&&p(n,i[i.length-1]));)v.call(i,n);if(i.length){for(a=\"\",\"object\"!=typeof(s=i)||Array.isArray(s)||(s=Object.keys(s)),l=0;l<s.length;l+=1)r=s[l],a=_(a,r);throw(o=new Error(\"RuntimeError:OpenGL got errors (\"+e+\"): \"+a)).name=\"RuntimeError\",o}return null},(o=function(){d(this,arguments)}).prototype._base_class=Object,o.prototype._class_name=\"GlooObject\",o.prototype.__init__=function(t){if(this._gl=t,this.handle=null,this._create(),null===this.handle)throw\"AssertionError: this.handle !== null\";return null},o.prototype._create=function(){var t;throw(t=new Error(\"NotImplementedError:\")).name=\"NotImplementedError\",t},((a=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,a.prototype._class_name=\"Program\",a.prototype.UTYPEMAP={float:\"uniform1fv\",vec2:\"uniform2fv\",vec3:\"uniform3fv\",vec4:\"uniform4fv\",int:\"uniform1iv\",ivec2:\"uniform2iv\",ivec3:\"uniform3iv\",ivec4:\"uniform4iv\",bool:\"uniform1iv\",bvec2:\"uniform2iv\",bvec3:\"uniform3iv\",bvec4:\"uniform4iv\",mat2:\"uniformMatrix2fv\",mat3:\"uniformMatrix3fv\",mat4:\"uniformMatrix4fv\",sampler1D:\"uniform1i\",sampler2D:\"uniform1i\",sampler3D:\"uniform1i\"},a.prototype.ATYPEMAP={float:\"vertexAttrib1f\",vec2:\"vertexAttrib2f\",vec3:\"vertexAttrib3f\",vec4:\"vertexAttrib4f\"},a.prototype.ATYPEINFO={float:[1,5126],vec2:[2,5126],vec3:[3,5126],vec4:[4,5126]},a.prototype._create=function(){return this.handle=this._gl.createProgram(),this.locations={},this._unset_variables=[],this._validated=!1,this._samplers={},this._attributes={},this._known_invalid=[],null},a.prototype.delete=function(){return this._gl.deleteProgram(this.handle),null},a.prototype.activate=function(){return this._gl.useProgram(this.handle),null},a.prototype.deactivate=function(){return this._gl.useProgram(0),null},a.prototype.set_shaders=function(t,e){var r,n,o,i,a,s,l,h,u,c,f,p,d;for(s=this._gl,this._linked=!1,f=[[t,d=s.createShader(s.VERTEX_SHADER),\"vertex\"],[e,a=s.createShader(s.FRAGMENT_SHADER),\"fragment\"]],h=0;h<2;h+=1)if(r=(c=f[h])[0],l=c[1],p=c[2],s.shaderSource(l,r),s.compileShader(l),u=s.getShaderParameter(l,s.COMPILE_STATUS),!g(u))throw i=s.getShaderInfoLog(l),(o=new Error(\"RuntimeError:\"+_(\"errors in \"+p+\" shader:\\n\",i))).name=\"RuntimeError\",o;if(s.attachShader(this.handle,d),s.attachShader(this.handle,a),s.linkProgram(this.handle),!g(s.getProgramParameter(this.handle,s.LINK_STATUS)))throw(n=new Error(\"RuntimeError:Program link error:\\n\"+s.getProgramInfoLog(this.handle))).name=\"RuntimeError\",n;return this._unset_variables=this._get_active_attributes_and_uniforms(),s.detachShader(this.handle,d),s.detachShader(this.handle,a),s.deleteShader(d),s.deleteShader(a),this._known_invalid=[],this._linked=!0,null},a.prototype._get_active_attributes_and_uniforms=function(){var t,e,r,n,o,i,a,s,l,h,u,c,f,p,d,y,m,x;for(s=this._gl,this.locations={},p=new window.RegExp(\"(\\\\w+)\\\\s*(\\\\[(\\\\d+)\\\\])\\\\s*\"),o=s.getProgramParameter(this.handle,s.ACTIVE_UNIFORMS),e=s.getProgramParameter(this.handle,s.ACTIVE_ATTRIBUTES),x=[],\"object\"!=typeof(y=[[t=[],e,s.getActiveAttrib,s.getAttribLocation],[x,o,s.getActiveUniform,s.getUniformLocation]])||Array.isArray(y)||(y=Object.keys(y)),m=0;m<y.length;m+=1)for(r=(d=y[m])[0],n=d[1],i=d[2],a=d[3],l=0;l<n;l+=1){if(c=(f=(h=i.call(s,this.handle,l)).name).match(p),g(c))for(f=c[1],u=0;u<h.size;u+=1)v.call(r,[f+\"[\"+u+\"]\",h.type]);else v.call(r,[f,h.type]);this.locations[f]=a.call(s,this.handle,f)}return _(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(e[0]);return o}.apply(this),function(){var t,e,r,n=[];for(\"object\"!=typeof(e=x)||Array.isArray(e)||(e=Object.keys(e)),r=0;r<e.length;r++)t=e[r],n.push(t[0]);return n}.apply(this))},a.prototype.set_texture=function(t,e){var r,n,o;if(!g(this._linked))throw(r=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",r;return n=m.call(this.locations,t,-1),g(n<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active texture\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),o=x.call(this._samplers).length,f(t,this._samplers)&&(o=this._samplers[t][this._samplers[t].length-1]),this._samplers[t]=[e._target,e.handle,o],this._gl.uniform1i(n,o),null)},a.prototype.set_uniform=function(t,e,r){var n,o,i,a,s,l,h;if(!g(this._linked))throw(i=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",i;if(s=m.call(this.locations,t,-1),g(s<0))return f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active uniform\")),null;if(f(t,this._unset_variables)&&E.call(this._unset_variables,t),o=1,w.call(e,\"mat\")||(n=m.call({int:\"float\",bool:\"float\"},e,b.call(e,\"ib\")),o=Math.floor(r.length/this.ATYPEINFO[n][0])),g(o>1))for(l=0;l<o;l+=1)f(t+\"[\"+l+\"]\",this._unset_variables)&&f(h=t+\"[\"+l+\"]\",this._unset_variables)&&E.call(this._unset_variables,h);return a=this.UTYPEMAP[e],this.activate(),w.call(e,\"mat\")?this._gl[a](s,!1,r):this._gl[a](s,r),null},a.prototype.set_attribute=function(t,e,r,n,o){var i,a,s,l,u,_;if(n=void 0===n?0:n,o=void 0===o?0:o,!g(this._linked))throw(a=new Error(\"RuntimeError:Cannot set attribute when program has no code\")).name=\"RuntimeError\",a;return u=r instanceof h,l=m.call(this.locations,t,-1),g(l<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),g(u)&&g(o>0)||c.log(\"Variable \"+t+\" is not an active attribute\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),g(u)?(s=\"vertexAttribPointer\",i=[(_=this.ATYPEINFO[e])[0],_[1],this._gl.FALSE,n,o],this._attributes[t]=[r.handle,l,s,i]):(s=this.ATYPEMAP[e],this._attributes[t]=[0,l,s,r]),null)},a.prototype._pre_draw=function(){var t,e,r,n,o,i,a,s,l,h,u,c;for(c in this.activate(),a=this._samplers)a.hasOwnProperty(c)&&(l=(i=c=a[c])[0],s=i[1],h=i[2],this._gl.activeTexture(_(this._gl.TEXTURE0,h)),this._gl.bindTexture(l,s));for(c in o=this._attributes)o.hasOwnProperty(c)&&(u=(n=c=o[c])[0],e=n[1],r=n[2],t=n[3],g(u)?(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,u),this._gl.enableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))):(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,null),this._gl.disableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))));return g(this._validated)||(this._validated=!0,this._validate()),null},a.prototype._validate=function(){var t;if(this._unset_variables.length&&c.log(\"Program has unset variables: \"+this._unset_variables),this._gl.validateProgram(this.handle),!g(this._gl.getProgramParameter(this.handle,this._gl.VALIDATE_STATUS)))throw c.log(this._gl.getProgramInfoLog(this.handle)),(t=new Error(\"RuntimeError:Program validation error\")).name=\"RuntimeError\",t;return null},a.prototype.draw=function(t,e){var r,n,o,a,s;if(!g(this._linked))throw(n=new Error(\"RuntimeError:Cannot draw program if code has not been set\")).name=\"RuntimeError\",n;return u(this._gl,\"before draw\"),g(e instanceof i)?(this._pre_draw(),e.activate(),r=e._buffer_size/2,a=this._gl.UNSIGNED_SHORT,this._gl.drawElements(t,r,a,0),e.deactivate()):(o=(s=e)[0],r=s[1],g(r)&&(this._pre_draw(),this._gl.drawArrays(t,o,r))),u(this._gl,\"after draw\"),null},((n=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,n.prototype._class_name=\"Buffer\",n.prototype._target=null,n.prototype._usage=35048,n.prototype._create=function(){return this.handle=this._gl.createBuffer(),this._buffer_size=0,null},n.prototype.delete=function(){return this._gl.deleteBuffer(this.handle),null},n.prototype.activate=function(){return this._gl.bindBuffer(this._target,this.handle),null},n.prototype.deactivate=function(){return this._gl.bindBuffer(this._target,null),null},n.prototype.set_size=function(t){return p(t,this._buffer_size)||(this.activate(),this._gl.bufferData(this._target,t,this._usage),this._buffer_size=t),null},n.prototype.set_data=function(t,e){return this.activate(),this._gl.bufferSubData(this._target,t,e),null},(h=function(){d(this,arguments)}).prototype=Object.create(n.prototype),h.prototype._base_class=n.prototype,h.prototype._class_name=\"VertexBuffer\",h.prototype._target=34962,(i=function(){d(this,arguments)}).prototype=Object.create(n.prototype),i.prototype._base_class=n.prototype,i.prototype._class_name=\"IndexBuffer\",i.prototype._target=34963,((s=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,s.prototype._class_name=\"Texture2D\",s.prototype._target=3553,s.prototype._types={Int8Array:5120,Uint8Array:5121,Int16Array:5122,Uint16Array:5123,Int32Array:5124,Uint32Array:5125,Float32Array:5126},s.prototype._create=function(){return this.handle=this._gl.createTexture(),this._shape_format=null,null},s.prototype.delete=function(){return this._gl.deleteTexture(this.handle),null},s.prototype.activate=function(){return this._gl.bindTexture(this._target,this.handle),null},s.prototype.deactivate=function(){return this._gl.bindTexture(this._target,0),null},s.prototype._get_alignment=function(t){var e,r,n;for(\"object\"!=typeof(r=[4,8,2,1])||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n+=1)if(e=r[n],p(t%e,0))return e;return null},s.prototype.set_wrapping=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_S,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_T,e),null},s.prototype.set_interpolation=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_MIN_FILTER,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_MAG_FILTER,e),null},s.prototype.set_size=function(t,e){var r,n,o;return r=(n=t)[0],o=n[1],p([r,o,e],this._shape_format)||(this._shape_format=[r,o,e],this.activate(),this._gl.texImage2D(this._target,0,e,o,r,0,e,this._gl.UNSIGNED_BYTE,null)),this.u_shape=[r,o],null},s.prototype.set_data=function(t,e,r){var n,o,i,a,s,l,h,u,c,_;if(p(e.length,2)&&(e=[e[0],e[1],1]),this.activate(),i=this._shape_format[2],s=(l=e)[0],u=l[1],l[2],_=(h=t)[0],c=h[1],null===(a=m.call(this._types,r.constructor.name,null)))throw(o=new Error(\"ValueError:Type \"+r.constructor.name+\" not allowed for texture\")).name=\"ValueError\",o;return n=this._get_alignment(y(e[e.length-2],e[e.length-1])),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,n),this._gl.texSubImage2D(this._target,0,c,_,u,s,i,a,r),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,4),null},((l=function(){d(this,arguments)}).prototype=Object.create(s.prototype))._base_class=s.prototype,l.prototype._class_name=\"Texture3DLike\",l.prototype.GLSL_SAMPLE_NEAREST=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float zindex = floor(texcoord.z * shape.z);\\n\\n            // Do a lookup in the 2D texture\\n            float u = (mod(zindex, ncols) + texcoord.x) / ncols;\\n            float v = (floor(zindex / ncols) + texcoord.y) / nrows;\\n\\n            return texture2D(tex, vec2(u,v));\\n        }\\n    \",l.prototype.GLSL_SAMPLE_LINEAR=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float z = texcoord.z * shape.z;\\n            float zindex1 = floor(z);\\n            float u1 = (mod(zindex1, ncols) + texcoord.x) / ncols;\\n            float v1 = (floor(zindex1 / ncols) + texcoord.y) / nrows;\\n\\n            float zindex2 = zindex1 + 1.0;\\n            float u2 = (mod(zindex2, ncols) + texcoord.x) / ncols;\\n            float v2 = (floor(zindex2 / ncols) + texcoord.y) / nrows;\\n\\n            vec4 s1 = texture2D(tex, vec2(u1, v1));\\n            vec4 s2 = texture2D(tex, vec2(u2, v2));\\n\\n            return s1 * (zindex2 - z) + s2 * (z - zindex1);\\n        }\\n    \",l.prototype._get_tile_info=function(t){var e,r,n,o;if(r=this._gl.getParameter(this._gl.MAX_TEXTURE_SIZE),o=Math.floor(r/t[1]),o=Math.min(o,t[0]),n=window.Math.ceil(t[0]/o),g(y(n,t[2])>r))throw(e=new Error(\"RuntimeError:Cannot fit 3D data with shape \"+t+\" onto simulated 2D texture.\")).name=\"RuntimeError\",e;return[o,n]},l.prototype.set_size=function(t,e){var r,n,o,i;return n=(i=this._get_tile_info(t))[0],r=i[1],o=[y(t[1],n),y(t[2],r)],l.prototype._base_class.set_size.call(this,o,e),this.u_shape=[t[0],t[1],t[2]],this.u_tiles=[r,n],null},l.prototype.set_data=function(t,e,r){var n,o,i,a,s,h,u,c,_,f,d,v;if(p(e.length,3)&&(e=[e[0],e[1],e[2],1]),!function(t){for(var e=0;e<t.length;e++)if(!g(t[e]))return!1;return!0}(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(p(e,0));return o}.apply(this)))throw(i=new Error(\"ValueError:Texture3DLike does not support nonzero offset (for now)\")).name=\"ValueError\",i;if(s=(c=this._get_tile_info(e))[0],a=c[1],u=[y(e[1],s),y(e[2],a),e[3]],p(a,1))l.prototype._base_class.set_data.call(this,[0,0],u,r);else for(v=new(0,r.constructor)(y(y(u[0],u[1]),u[2])),l.prototype._base_class.set_data.call(this,[0,0],u,v),d=0;d<e[0];d+=1)h=(_=[Math.floor(d/a),d%a])[0],n=_[1],o=Math.floor(r.length/e[0]),f=r.slice(y(d,o),y(d+1,o)),l.prototype._base_class.set_data.call(this,[y(h,e[1]),y(n,e[2])],e.slice(1),f);return null},e.exports={Buffer:n,GlooObject:o,IndexBuffer:i,Program:a,Texture2D:s,Texture3DLike:l,VertexBuffer:h,check_error:u,console:c}},\n      374: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(20),s=e(72);class i{constructor(e,t){this.gl=e,this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.init()}set_data_changed(e){e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,a){if(0==t.length)return!0;const[r,i,n]=[0,1,2];let l=1,h=1,[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]);if(isNaN(o[0]+o[1]+o[2]+_[0]+_[1]+_[2]))return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;if(l=100/Math.min(Math.max(Math.abs(o[1]-o[0]),1e-12),1e12),h=100/Math.min(Math.max(Math.abs(_[1]-_[0]),1e-12),1e12),[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]),Math.abs(o[1]-o[0]-(o[2]-o[1]))>1e-6||Math.abs(_[1]-_[0]-(_[2]-_[1]))>1e-6)return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;const[c,u]=[(o[1]-o[0])/l,(_[1]-_[0])/h],{width:d,height:g}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,f={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:d,height:g,dx:o[0]/c,dy:_[0]/u,sx:c,sy:u};return this.draw(t,a,f),!0}}function n(e,t){const a=new Float32Array(e);for(let r=0,s=e;r<s;r++)a[r]=t;return a}function l(e,t){return void 0!==e[t].spec.value}a.BaseGLGlyph=i,i.__name__=\"BaseGLGlyph\",a.line_width=function(e){return e<2&&(e=Math.sqrt(2*e)),e},a.fill_array_with_float=n,a.fill_array_with_vec=function(e,t,a){const r=new Float32Array(e*t);for(let s=0;s<e;s++)for(let e=0;e<t;e++)r[s*t+e]=a[e];return r},a.visual_prop_is_singular=l,a.attach_float=function(e,t,a,r,s,i){if(s.doit)if(l(s,i))t.used=!1,e.set_attribute(a,\"float\",s[i].value());else{t.used=!0;const n=new Float32Array(s.get_array(i));t.set_size(4*r),t.set_data(0,n),e.set_attribute(a,\"float\",t)}else t.used=!1,e.set_attribute(a,\"float\",[0])},a.attach_color=function(e,t,a,s,i,h){let o;const _=h+\"_color\",c=h+\"_alpha\";if(i.doit)if(l(i,_)&&l(i,c))t.used=!1,o=r.color2rgba(i[_].value(),i[c].value()),e.set_attribute(a,\"vec4\",o);else{let h,u;t.used=!0,u=l(i,_)?(()=>{const e=[];for(let t=0,a=s;t<a;t++)e.push(i[_].value());return e})():i.get_array(_),h=l(i,c)?n(s,i[c].value()):i.get_array(c);const d=new Float32Array(4*s);for(let e=0,t=s;e<t;e++){o=r.color2rgba(u[e],h[e]);for(let t=0,a=4;t<a;t++)d[4*e+t]=o[t]}t.set_size(4*s*4),t.set_data(0,d),e.set_attribute(a,\"vec4\",t)}else t.used=!1,e.set_attribute(a,\"vec4\",[0,0,0,0])}},\n      375: function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.vertex_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size, u_offset;\\nuniform vec2 u_scale_aspect;\\nuniform float u_scale_length;\\n\\nuniform vec4 u_color;\\nuniform float u_antialias;\\nuniform float u_length;\\nuniform float u_linewidth;\\nuniform float u_dash_index;\\nuniform float u_closed;\\n\\nattribute vec2 a_position;\\nattribute vec4 a_tangents;\\nattribute vec2 a_segment;\\nattribute vec2 a_angles;\\nattribute vec2 a_texcoord;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\nfloat cross(in vec2 v1, in vec2 v2)\\n{\\n    return v1.x*v2.y - v1.y*v2.x;\\n}\\n\\nfloat signed_distance(in vec2 v1, in vec2 v2, in vec2 v3)\\n{\\n    return cross(v2-v1,v1-v3) / length(v2-v1);\\n}\\n\\nvoid rotate( in vec2 v, in float alpha, out vec2 result )\\n{\\n    float c = cos(alpha);\\n    float s = sin(alpha);\\n    result = vec2( c*v.x - s*v.y,\\n                   s*v.x + c*v.y );\\n}\\n\\nvoid main()\\n{\\n    bool closed = (u_closed > 0.0);\\n\\n    // Attributes and uniforms to varyings\\n    v_color = u_color;\\n    v_linewidth = u_linewidth;\\n    v_segment = a_segment * u_scale_length;\\n    v_length = u_length * u_scale_length;\\n\\n    // Scale to map to pixel coordinates. The original algorithm from the paper\\n    // assumed isotropic scale. We obviously do not have this.\\n    vec2 abs_scale_aspect = abs(u_scale_aspect);\\n    vec2 abs_scale = u_scale_length * abs_scale_aspect;\\n\\n    // Correct angles for aspect ratio\\n    vec2 av;\\n    av = vec2(1.0, tan(a_angles.x)) / abs_scale_aspect;\\n    v_angles.x = atan(av.y, av.x);\\n    av = vec2(1.0, tan(a_angles.y)) / abs_scale_aspect;\\n    v_angles.y = atan(av.y, av.x);\\n\\n    // Thickness below 1 pixel are represented using a 1 pixel thickness\\n    // and a modified alpha\\n    v_color.a = min(v_linewidth, v_color.a);\\n    v_linewidth = max(v_linewidth, 1.0);\\n\\n    // If color is fully transparent we just will discard the fragment anyway\\n    if( v_color.a <= 0.0 ) {\\n        gl_Position = vec4(0.0,0.0,0.0,1.0);\\n        return;\\n    }\\n\\n    // This is the actual half width of the line\\n    float w = ceil(u_antialias+v_linewidth)/2.0;\\n\\n    vec2 position = (a_position + u_offset) * abs_scale;\\n\\n    vec2 t1 = normalize(a_tangents.xy * abs_scale_aspect);  // note the scaling for aspect ratio here\\n    vec2 t2 = normalize(a_tangents.zw * abs_scale_aspect);\\n    float u = a_texcoord.x;\\n    float v = a_texcoord.y;\\n    vec2 o1 = vec2( +t1.y, -t1.x);\\n    vec2 o2 = vec2( +t2.y, -t2.x);\\n\\n    // This is a join\\n    // ----------------------------------------------------------------\\n    if( t1 != t2 ) {\\n        float angle = atan (t1.x*t2.y-t1.y*t2.x, t1.x*t2.x+t1.y*t2.y);  // Angle needs recalculation for some reason\\n        vec2 t  = normalize(t1+t2);\\n        vec2 o  = vec2( + t.y, - t.x);\\n\\n        if ( u_dash_index > 0.0 )\\n        {\\n            // Broken angle\\n            // ----------------------------------------------------------------\\n            if( (abs(angle) > THETA) ) {\\n                position += v * w * o / cos(angle/2.0);\\n                float s = sign(angle);\\n                if( angle < 0.0 ) {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position -= 2.0 * w * t1 / sin(angle);\\n                            u -= 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position += 2.0 * w * t2 / sin(angle);\\n                            u += 2.0*w / sin(angle);\\n                        }\\n                    }\\n                } else {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position += 2.0 * w * t1 / sin(angle);\\n                            u += 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position -= 2.0 * w * t2 / sin(angle);\\n                            u -= 2.0*w / sin(angle);\\n                        }\\n                    }\\n                }\\n                // Continuous angle\\n                // ------------------------------------------------------------\\n            } else {\\n                position += v * w * o / cos(angle/2.0);\\n                if( u == +1.0 ) u = v_segment.y;\\n                else            u = v_segment.x;\\n            }\\n        }\\n\\n        // Solid line\\n        // --------------------------------------------------------------------\\n        else\\n        {\\n            position.xy += v * w * o / cos(angle/2.0);\\n            if( angle < 0.0 ) {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            } else {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            }\\n        }\\n\\n    // This is a line start or end (t1 == t2)\\n    // ------------------------------------------------------------------------\\n    } else {\\n        position += v * w * o1;\\n        if( u == -1.0 ) {\\n            u = v_segment.x - w;\\n            position -= w * t1;\\n        } else {\\n            u = v_segment.y + w;\\n            position += w * t2;\\n        }\\n    }\\n\\n    // Miter distance\\n    // ------------------------------------------------------------------------\\n    vec2 t;\\n    vec2 curr = a_position * abs_scale;\\n    if( a_texcoord.x < 0.0 ) {\\n        vec2 next = curr + t2*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, +v_angles.x/2.0, t);\\n        v_miter.x = signed_distance(curr, curr+t, position);\\n\\n        rotate( t2, +v_angles.y/2.0, t);\\n        v_miter.y = signed_distance(next, next+t, position);\\n    } else {\\n        vec2 prev = curr - t1*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, -v_angles.x/2.0,t);\\n        v_miter.x = signed_distance(prev, prev+t, position);\\n\\n        rotate( t2, -v_angles.y/2.0,t);\\n        v_miter.y = signed_distance(curr, curr+t, position);\\n    }\\n\\n    if (!closed && v_segment.x <= 0.0) {\\n        v_miter.x = 1e10;\\n    }\\n    if (!closed && v_segment.y >= v_length)\\n    {\\n        v_miter.y = 1e10;\\n    }\\n\\n    v_texcoord = vec2( u, v*w );\\n\\n    // Calculate position in device coordinates. Note that we\\n    // already scaled with abs scale above.\\n    vec2 normpos = position * sign(u_scale_aspect);\\n    normpos += 0.5;  // make up for Bokeh's offset\\n    normpos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(normpos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n}\\n\"},\n      376: function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0}),e.fragment_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform sampler2D u_dash_atlas;\\n\\nuniform vec2 u_linecaps;\\nuniform float u_miter_limit;\\nuniform float u_linejoin;\\nuniform float u_antialias;\\nuniform float u_dash_phase;\\nuniform float u_dash_period;\\nuniform float u_dash_index;\\nuniform vec2 u_dash_caps;\\nuniform float u_closed;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\n// Compute distance to cap ----------------------------------------------------\\nfloat cap( int type, float dx, float dy, float t, float linewidth )\\n{\\n    float d = 0.0;\\n    dx = abs(dx);\\n    dy = abs(dy);\\n    if      (type == 0)  discard;  // None\\n    else if (type == 1)  d = sqrt(dx*dx+dy*dy);  // Round\\n    else if (type == 3)  d = (dx+abs(dy));  // Triangle in\\n    else if (type == 2)  d = max(abs(dy),(t+dx-abs(dy)));  // Triangle out\\n    else if (type == 4)  d = max(dx,dy);  // Square\\n    else if (type == 5)  d = max(dx+t,dy);  // Butt\\n    return d;\\n}\\n\\n// Compute distance to join -------------------------------------------------\\nfloat join( in int type, in float d, in vec2 segment, in vec2 texcoord, in vec2 miter,\\n           in float linewidth )\\n{\\n    // texcoord.x is distance from start\\n    // texcoord.y is distance from centerline\\n    // segment.x and y indicate the limits (as for texcoord.x) for this segment\\n\\n    float dx = texcoord.x;\\n\\n    // Round join\\n    if( type == 1 ) {\\n        if (dx < segment.x) {\\n            d = max(d,length( texcoord - vec2(segment.x,0.0)));\\n            //d = length( texcoord - vec2(segment.x,0.0));\\n        } else if (dx > segment.y) {\\n            d = max(d,length( texcoord - vec2(segment.y,0.0)));\\n            //d = length( texcoord - vec2(segment.y,0.0));\\n        }\\n    }\\n    // Bevel join\\n    else if ( type == 2 ) {\\n        if (dx < segment.x) {\\n            vec2 x = texcoord - vec2(segment.x,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n\\n        } else if (dx > segment.y) {\\n            vec2 x = texcoord - vec2(segment.y,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n        }\\n        /*  Original code for bevel which does not work for us\\n        if( (dx < segment.x) ||  (dx > segment.y) )\\n            d = max(d, min(abs(x.x),abs(x.y)));\\n        */\\n    }\\n\\n    return d;\\n}\\n\\nvoid main()\\n{\\n    // If color is fully transparent we just discard the fragment\\n    if( v_color.a <= 0.0 ) {\\n        discard;\\n    }\\n\\n    // Test if dash pattern is the solid one (0)\\n    bool solid =  (u_dash_index == 0.0);\\n\\n    // Test if path is closed\\n    bool closed = (u_closed > 0.0);\\n\\n    vec4 color = v_color;\\n    float dx = v_texcoord.x;\\n    float dy = v_texcoord.y;\\n    float t = v_linewidth/2.0-u_antialias;\\n    float width = 1.0;  //v_linewidth; original code had dashes scale with line width, we do not\\n    float d = 0.0;\\n\\n    vec2 linecaps = u_linecaps;\\n    vec2 dash_caps = u_dash_caps;\\n    float line_start = 0.0;\\n    float line_stop = v_length;\\n\\n    // Apply miter limit; fragments too far into the miter are simply discarded\\n    if( (dx < v_segment.x) || (dx > v_segment.y) ) {\\n        float into_miter = max(v_segment.x - dx, dx - v_segment.y);\\n        if (into_miter > u_miter_limit*v_linewidth/2.0)\\n          discard;\\n    }\\n\\n    // Solid line --------------------------------------------------------------\\n    if( solid ) {\\n        d = abs(dy);\\n        if( (!closed) && (dx < line_start) ) {\\n            d = cap( int(u_linecaps.x), abs(dx), abs(dy), t, v_linewidth );\\n        }\\n        else if( (!closed) &&  (dx > line_stop) ) {\\n            d = cap( int(u_linecaps.y), abs(dx)-line_stop, abs(dy), t, v_linewidth );\\n        }\\n        else {\\n            d = join( int(u_linejoin), abs(dy), v_segment, v_texcoord, v_miter, v_linewidth );\\n        }\\n\\n    // Dash line --------------------------------------------------------------\\n    } else {\\n        float segment_start = v_segment.x;\\n        float segment_stop  = v_segment.y;\\n        float segment_center= (segment_start+segment_stop)/2.0;\\n        float freq          = u_dash_period*width;\\n        float u = mod( dx + u_dash_phase*width, freq);\\n        vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n        float dash_center= tex.x * width;\\n        float dash_type  = tex.y;\\n        float _start = tex.z * width;\\n        float _stop  = tex.a * width;\\n        float dash_start = dx - u + _start;\\n        float dash_stop  = dx - u + _stop;\\n\\n        // Compute extents of the first dash (the one relative to v_segment.x)\\n        // Note: this could be computed in the vertex shader\\n        if( (dash_stop < segment_start) && (dash_caps.x != 5.0) ) {\\n            float u = mod(segment_start + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_start - u + _start;\\n            dash_stop = segment_start - u + _stop;\\n        }\\n\\n        // Compute extents of the last dash (the one relatives to v_segment.y)\\n        // Note: This could be computed in the vertex shader\\n        else if( (dash_start > segment_stop)  && (dash_caps.y != 5.0) ) {\\n            float u = mod(segment_stop + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_stop - u + _start;\\n            dash_stop  = segment_stop - u + _stop;\\n        }\\n\\n        // This test if the we are dealing with a discontinuous angle\\n        bool discontinuous = ((dx <  segment_center) && abs(v_angles.x) > THETA) ||\\n                             ((dx >= segment_center) && abs(v_angles.y) > THETA);\\n        //if( dx < line_start) discontinuous = false;\\n        //if( dx > line_stop)  discontinuous = false;\\n\\n        float d_join = join( int(u_linejoin), abs(dy),\\n                            v_segment, v_texcoord, v_miter, v_linewidth );\\n\\n        // When path is closed, we do not have room for linecaps, so we make room\\n        // by shortening the total length\\n        if (closed) {\\n             line_start += v_linewidth/2.0;\\n             line_stop  -= v_linewidth/2.0;\\n        }\\n\\n        // We also need to take antialias area into account\\n        //line_start += u_antialias;\\n        //line_stop  -= u_antialias;\\n\\n        // Check is dash stop is before line start\\n        if( dash_stop <= line_start ) {\\n            discard;\\n        }\\n        // Check is dash start is beyond line stop\\n        if( dash_start >= line_stop ) {\\n            discard;\\n        }\\n\\n        // Check if current dash start is beyond segment stop\\n        if( discontinuous ) {\\n            // Dash start is beyond segment, we discard\\n            if( (dash_start > segment_stop) ) {\\n                discard;\\n                //gl_FragColor = vec4(1.0,0.0,0.0,.25); return;\\n            }\\n\\n            // Dash stop is before segment, we discard\\n            if( (dash_stop < segment_start) ) {\\n                discard;  //gl_FragColor = vec4(0.0,1.0,0.0,.25); return;\\n            }\\n\\n            // Special case for round caps (nicer with this)\\n            if( dash_caps.x == 1.0 ) {\\n                if( (u > _stop) && (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for round caps  (nicer with this)\\n            if( dash_caps.y == 1.0 ) {\\n                if( (u < _start) && (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.x != 1.0) && (dash_caps.x != 5.0) ) {\\n                if( (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0) ) {\\n                    float a = v_angles.x/2.0;\\n                    float x = (segment_start-dx)*cos(a) - dy*sin(a);\\n                    float y = (segment_start-dx)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the cap into square to avoid holes\\n                    dash_caps.x = 4.0;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.y != 1.0) && (dash_caps.y != 5.0) ) {\\n                if( (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0) ) {\\n                    float a = v_angles.y/2.0;\\n                    float x = (dx-segment_stop)*cos(a) - dy*sin(a);\\n                    float y = (dx-segment_stop)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the caps into square to avoid holes\\n                    dash_caps.y = 4.0;\\n                }\\n            }\\n        }\\n\\n        // Line cap at start\\n        if( (dx < line_start) && (dash_start < line_start) && (dash_stop > line_start) ) {\\n            d = cap( int(linecaps.x), dx-line_start, dy, t, v_linewidth);\\n        }\\n        // Line cap at stop\\n        else if( (dx > line_stop) && (dash_stop > line_stop) && (dash_start < line_stop) ) {\\n            d = cap( int(linecaps.y), dx-line_stop, dy, t, v_linewidth);\\n        }\\n        // Dash cap left - dash_type = -1, 0 or 1, but there may be roundoff errors\\n        else if( dash_type < -0.5 ) {\\n            d = cap( int(dash_caps.y), abs(u-dash_center), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash cap right\\n        else if( dash_type > 0.5 ) {\\n            d = cap( int(dash_caps.x), abs(dash_center-u), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash body (plain)\\n        else {// if( dash_type > -0.5 &&  dash_type < 0.5) {\\n            d = abs(dy);\\n        }\\n\\n        // Line join\\n        if( (dx > line_start) && (dx < line_stop)) {\\n            if( (dx <= segment_start) && (dash_start <= segment_start)\\n                && (dash_stop >= segment_start) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.x;\\n                float f = abs( (segment_start - dx)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( (dx > segment_stop) && (dash_start <= segment_stop)\\n                     && (dash_stop >= segment_stop) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.y;\\n                float f = abs((dx - segment_stop)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( dx < (segment_start - v_linewidth/2.)) {\\n                discard;\\n            }\\n            else if( dx > (segment_stop + v_linewidth/2.)) {\\n                discard;\\n            }\\n        }\\n        else if( dx < (segment_start - v_linewidth/2.)) {\\n            discard;\\n        }\\n        else if( dx > (segment_stop + v_linewidth/2.)) {\\n            discard;\\n        }\\n    }\\n\\n    // Distance to border ------------------------------------------------------\\n    d = d - t;\\n    if( d < 0.0 ) {\\n        gl_FragColor = color;\\n    } else {\\n        d /= u_antialias;\\n        gl_FragColor = vec4(color.rgb, exp(-d*d)*color.a);\\n    }\\n}\\n\"},\n      377: function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(373),r=t(374),o=t(378),_=t(379),h=t(213),l=t(12),n=t(72);class g extends r.BaseGLGlyph{init(){const{gl:t}=this,s=o.vertex_shader,e=_.fragment_shader(this._marker_code);this.prog=new a.Program(t),this.prog.set_shaders(s,e),this.vbo_x=new a.VertexBuffer(t),this.prog.set_attribute(\"a_x\",\"float\",this.vbo_x),this.vbo_y=new a.VertexBuffer(t),this.prog.set_attribute(\"a_y\",\"float\",this.vbo_y),this.vbo_s=new a.VertexBuffer(t),this.prog.set_attribute(\"a_size\",\"float\",this.vbo_s),this.vbo_a=new a.VertexBuffer(t),this.prog.set_attribute(\"a_angle\",\"float\",this.vbo_a),this.vbo_linewidth=new a.VertexBuffer(t),this.vbo_fg_color=new a.VertexBuffer(t),this.vbo_bg_color=new a.VertexBuffer(t),this.index_buffer=new a.IndexBuffer(t)}draw(t,s,e){const i=s.glglyph,{nvertices:a}=i;if(i.data_changed){if(!isFinite(e.dx)||!isFinite(e.dy))return;i._baked_offset=[e.dx,e.dy],i._set_data(a),i.data_changed=!1}else this.glyph instanceof h.CircleView&&null!=this.glyph._radius&&(null==this.last_trans||e.sx!=this.last_trans.sx||e.sy!=this.last_trans.sy)&&(this.last_trans=e,this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))));this.visuals_changed&&(this._set_visuals(a),this.visuals_changed=!1);const r=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[e.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[e.width,e.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[e.dx-r[0],e.dy-r[1]]),this.prog.set_uniform(\"u_scale\",\"vec2\",[e.sx,e.sy]),this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a),0!=t.length)if(t.length===a)this.prog.draw(this.gl.POINTS,[0,a]);else if(a<65535){const s=window.navigator.userAgent;s.indexOf(\"MSIE \")+s.indexOf(\"Trident/\")+s.indexOf(\"Edge/\")>0&&n.logger.warn(\"WebGL warning: IE is known to produce 1px sprites whith selections.\"),this.index_buffer.set_size(2*t.length),this.index_buffer.set_data(0,new Uint16Array(t)),this.prog.draw(this.gl.POINTS,this.index_buffer)}else{const s=64e3,e=[];for(let t=0,i=Math.ceil(a/s);t<i;t++)e.push([]);for(let i=0,a=t.length;i<a;i++){const a=t[i]%s;e[Math.floor(t[i]/s)].push(a)}for(let t=0,a=e.length;t<a;t++){const a=new Uint16Array(e[t]),r=t*s*4;0!==a.length&&(this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x,0,r),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y,0,r),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s,0,r),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a,0,r),this.vbo_linewidth.used&&this.prog.set_attribute(\"a_linewidth\",\"float\",this.vbo_linewidth,0,r),this.vbo_fg_color.used&&this.prog.set_attribute(\"a_fg_color\",\"vec4\",this.vbo_fg_color,0,4*r),this.vbo_bg_color.used&&this.prog.set_attribute(\"a_bg_color\",\"vec4\",this.vbo_bg_color,0,4*r),this.index_buffer.set_size(2*a.length),this.index_buffer.set_data(0,a),this.prog.draw(this.gl.POINTS,this.index_buffer))}}}_set_data(t){const s=4*t;this.vbo_x.set_size(s),this.vbo_y.set_size(s),this.vbo_a.set_size(s),this.vbo_s.set_size(s);const e=new Float64Array(this.glyph._x),i=new Float64Array(this.glyph._y);for(let s=0,a=t;s<a;s++)e[s]+=this._baked_offset[0],i[s]+=this._baked_offset[1];this.vbo_x.set_data(0,new Float32Array(e)),this.vbo_y.set_data(0,new Float32Array(i)),null!=this.glyph._angle&&this.vbo_a.set_data(0,new Float32Array(this.glyph._angle)),this.glyph instanceof h.CircleView&&null!=this.glyph._radius?this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))):this.vbo_s.set_data(0,new Float32Array(this.glyph._size))}_set_visuals(t){r.attach_float(this.prog,this.vbo_linewidth,\"a_linewidth\",t,this.glyph.visuals.line,\"line_width\"),r.attach_color(this.prog,this.vbo_fg_color,\"a_fg_color\",t,this.glyph.visuals.line,\"line\"),r.attach_color(this.prog,this.vbo_bg_color,\"a_bg_color\",t,this.glyph.visuals.fill,\"fill\"),this.prog.set_uniform(\"u_antialias\",\"float\",[.8])}}function f(t){return class extends g{get _marker_code(){return t}}}e.MarkerGLGlyph=g,g.__name__=\"MarkerGLGlyph\";const d=i.__importStar(t(379));e.CircleGLGlyph=f(d.circle),e.SquareGLGlyph=f(d.square),e.DiamondGLGlyph=f(d.diamond),e.TriangleGLGlyph=f(d.triangle),e.InvertedTriangleGLGlyph=f(d.invertedtriangle),e.HexGLGlyph=f(d.hex),e.CrossGLGlyph=f(d.cross),e.CircleCrossGLGlyph=f(d.circlecross),e.SquareCrossGLGlyph=f(d.squarecross),e.DiamondCrossGLGlyph=f(d.diamondcross),e.XGLGlyph=f(d.x),e.CircleXGLGlyph=f(d.circlex),e.SquareXGLGlyph=f(d.squarex),e.AsteriskGLGlyph=f(d.asterisk)},\n      378: function _(n,i,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.vertex_shader=\"\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\n//\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform vec2 u_offset;\\nuniform vec2 u_scale;\\nuniform float u_antialias;\\n//\\nattribute float a_x;\\nattribute float a_y;\\nattribute float a_size;\\nattribute float a_angle;  // in radians\\nattribute float a_linewidth;\\nattribute vec4  a_fg_color;\\nattribute vec4  a_bg_color;\\n//\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying vec2  v_rotation;\\n\\nvoid main (void)\\n{\\n    v_size = a_size * u_pixel_ratio;\\n    v_linewidth = a_linewidth * u_pixel_ratio;\\n    v_fg_color = a_fg_color;\\n    v_bg_color = a_bg_color;\\n    v_rotation = vec2(cos(-a_angle), sin(-a_angle));\\n    // Calculate position - the -0.5 is to correct for canvas origin\\n    vec2 pos = (vec2(a_x, a_y) + u_offset) * u_scale; // in pixels\\n    pos += 0.5;  // make up for Bokeh's offset\\n    pos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(pos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n    gl_PointSize = SQRT_2 * v_size + 2.0 * (v_linewidth + 1.5*u_antialias);\\n}\\n\"},\n      379: function _(a,n,s){Object.defineProperty(s,\"__esModule\",{value:!0}),s.fragment_shader=a=>`\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float PI = 3.14159265358979323846264;\\n//\\nuniform float u_antialias;\\n//\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2  v_rotation;\\n\\n${a}\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 fg_color, vec4 bg_color)\\n{\\n    vec4 frag_color;\\n    float t = linewidth/2.0 - antialias;\\n    float signed_distance = distance;\\n    float border_distance = abs(signed_distance) - t;\\n    float alpha = border_distance/antialias;\\n    alpha = exp(-alpha*alpha);\\n\\n    // If fg alpha is zero, it probably means no outline. To avoid a dark outline\\n    // shining through due to aa, we set the fg color to the bg color. Avoid if (i.e. branching).\\n    float select = float(bool(fg_color.a));\\n    fg_color.rgb = select * fg_color.rgb + (1.0  - select) * bg_color.rgb;\\n    // Similarly, if we want a transparent bg\\n    select = float(bool(bg_color.a));\\n    bg_color.rgb = select * bg_color.rgb + (1.0  - select) * fg_color.rgb;\\n\\n    if( border_distance < 0.0)\\n        frag_color = fg_color;\\n    else if( signed_distance < 0.0 ) {\\n        frag_color = mix(bg_color, fg_color, sqrt(alpha));\\n    } else {\\n        if( abs(signed_distance) < (linewidth/2.0 + antialias) ) {\\n            frag_color = vec4(fg_color.rgb, fg_color.a * alpha);\\n        } else {\\n            discard;\\n        }\\n    }\\n    return frag_color;\\n}\\n\\nvoid main()\\n{\\n    vec2 P = gl_PointCoord.xy - vec2(0.5, 0.5);\\n    P = vec2(v_rotation.x*P.x - v_rotation.y*P.y,\\n             v_rotation.y*P.x + v_rotation.x*P.y);\\n    float point_size = SQRT_2*v_size  + 2.0 * (v_linewidth + 1.5*u_antialias);\\n    float distance = marker(P*point_size, v_size);\\n    gl_FragColor = outline(distance, v_linewidth, u_antialias, v_fg_color, v_bg_color);\\n    //gl_FragColor.rgb *= gl_FragColor.a;  // pre-multiply alpha\\n}\\n`,s.circle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return length(P) - size/2.0;\\n}\\n\",s.square=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n\",s.diamond=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    return r1 / SQRT_2;\\n}\\n\",s.hex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    vec2 q = abs(P);\\n    return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n\",s.triangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y -= size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.invertedtriangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y += size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = - P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.cross='\\nfloat marker(vec2 P, float size)\\n{\\n    float square = max(abs(P.x), abs(P.y)) - size / 2.5;   // 2.5 is a tweak\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(square, cross);\\n}\\n',s.circlecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.squarecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.diamondcross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    diamond /= SQRT_2;\\n    float c1 = max(diamond, s1);\\n    float c2 = max(diamond, s2);\\n    float c3 = max(diamond, s3);\\n    float c4 = max(diamond, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.x='\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size / 1.6;\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(circle, X);\\n}\\n',s.circlex='\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    float almost = min(min(min(c1, c2), c3), c4);\\n    // In this case, the X is also outside of the main shape\\n    float Xmask = length(P) - size / 1.6;  // a circle\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return min(max(X, Xmask), almost);\\n}\\n',s.squarex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.asterisk='\\nfloat marker(vec2 P, float size)\\n{\\n    // Masks\\n    float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / (2.0 * SQRT_2);\\n    float square = max(abs(P.x), abs(P.y)) - size / (2.0 * SQRT_2);\\n    // Shapes\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    // Result is union of masked shapes\\n    return min(max(X, diamond), max(cross, square));\\n}\\n'},\n      }, 370, {\"models/glyphs/webgl/main\":370,\"models/glyphs/webgl/index\":371,\"models/glyphs/webgl/line\":372,\"models/glyphs/webgl/base\":374,\"models/glyphs/webgl/line.vert\":375,\"models/glyphs/webgl/line.frag\":376,\"models/glyphs/webgl/markers\":377,\"models/glyphs/webgl/markers.vert\":378,\"models/glyphs/webgl/markers.frag\":379}, {});\n      })\n\n\n      /* END bokeh-gl.min.js */\n    },\n    \n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      /* BEGIN panel.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], undefined);\n      })(this, function(Bokeh, version) {\n        var define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      \"4e90918c0a\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"22ae8fda70\"));o.Panel=s,e(\"@bokehjs/base\").register_models(s)},\n      \"22ae8fda70\": function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=a(\"tslib\");var t=a(\"3343056bd8\");r.AcePlot=t.AcePlot;var c=a(\"66d52165db\");r.Audio=c.Audio;var l=a(\"71a9759436\");r.CommManager=l.CommManager;var d=a(\"d0d2aafca0\");r.DeckGLPlot=d.DeckGLPlot;var v=a(\"ed08037ce5\");r.HTML=v.HTML;var b=a(\"284504a0cf\");r.JSON=b.JSON;var P=a(\"61c9ac7aac\");r.FileDownload=P.FileDownload;var f=a(\"7b859fb3cf\");r.KaTeX=f.KaTeX;var i=a(\"0c21036737\");r.MathJax=i.MathJax;var n=a(\"79c41bbf71\");r.Player=n.Player;var s=a(\"56da045fbd\");r.PlotlyPlot=s.PlotlyPlot;var M=a(\"76307e5afa\");r.Progress=M.Progress;var S=a(\"38b2bc9574\");r.State=S.State;var g=a(\"294adeb985\");r.VegaPlot=g.VegaPlot;var m=a(\"b0c3e9e9c2\");r.Video=m.Video;var V=a(\"3c7145a2fa\");r.VideoStream=V.VideoStream,o.__exportStar(a(\"ecfbb965eb\"),r)},\n      \"3343056bd8\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),n=e(\"@bokehjs/core/dom\"),a=e(\"7116a7a602\");class d extends a.PanelHTMLBoxView{initialize(){super.initialize(),this._ace=window.ace,this._container=n.div({id:\"_\"+Math.random().toString(36).substr(2,9),style:{width:\"100%\",height:\"100%\"}})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.code.change,()=>this._update_code_from_model()),this.connect(this.model.properties.theme.change,()=>this._update_theme()),this.connect(this.model.properties.language.change,()=>this._update_language()),this.connect(this.model.properties.annotations.change,()=>this._add_annotations()),this.connect(this.model.properties.readonly.change,()=>{this._editor.setReadOnly(this.model.readonly)})}render(){super.render(),this._container!==this.el.childNodes[0]&&this.el.appendChild(this._container),this._container.textContent=this.model.code,this._editor=this._ace.edit(this._container.id),this._editor.setTheme(\"ace/theme/\"+this.model.theme),this._editor.session.setMode(\"ace/mode/\"+this.model.language),this._editor.setReadOnly(this.model.readonly),this._langTools=this._ace.require(\"ace/ext/language_tools\"),this._editor.setOptions({enableBasicAutocompletion:!0,enableSnippets:!0,fontFamily:\"monospace\"}),this._editor.on(\"change\",()=>this._update_code_from_editor())}_update_code_from_model(){this._editor&&this._editor.getValue()!=this.model.code&&this._editor.setValue(this.model.code)}_update_code_from_editor(){this._editor.getValue()!=this.model.code&&(this.model.code=this._editor.getValue())}_update_theme(){this._editor.setTheme(\"ace/theme/\"+this.model.theme)}_update_language(){this._editor.session.setMode(\"ace/mode/\"+this.model.language)}_add_annotations(){this._editor.session.setAnnotations(this.model.annotations)}after_layout(){super.after_layout(),this._editor.resize()}}o.AcePlotView=d,d.__name__=\"AcePlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_AcePlot(){this.prototype.default_view=d,this.define({code:[i.String],language:[i.String,\"python\"],theme:[i.String,\"chrome\"],annotations:[i.Array,[]],readonly:[i.Boolean,!1]}),this.override({height:300,width:300})}}o.AcePlot=h,h.__name__=\"AcePlot\",h.__module__=\"panel.models.ace\",h.init_AcePlot()},\n      \"7116a7a602\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(\"@bokehjs/core/layout/html\"),h=e(\"@bokehjs/core/layout/types\"),o=e(\"@bokehjs/core/dom\"),n=e(\"@bokehjs/models/widgets/markup\"),_=e(\"@bokehjs/models/layouts/html_box\");function a(e,i){let t=null!=i.width?\"fixed\":\"fit\",s=null!=i.height?\"fixed\":\"fit\";const{sizing_mode:h}=i;if(null!=h)if(\"fixed\"==h)t=s=\"fixed\";else if(\"stretch_both\"==h)t=s=\"max\";else if(\"stretch_width\"==h)t=\"max\";else if(\"stretch_height\"==h)s=\"max\";else switch(h){case\"scale_width\":t=\"max\",s=\"min\";break;case\"scale_height\":t=\"min\",s=\"max\";break;case\"scale_both\":t=\"max\",s=\"max\";break;default:throw new Error(\"unreachable\")}\"fixed\"==t&&i.width?e.style.width=i.width+\"px\":\"max\"==t&&(e.style.width=\"100%\"),\"fixed\"==s&&i.height?e.style.height=i.height+\"px\":\"max\"==s&&(e.style.height=\"100%\")}t.set_size=a;class d extends s.VariadicBox{constructor(e,i,t){super(e),this.el=e,this.sizing_mode=i,this.changed=t,this._cache=new Map,this._cache_count=new Map}_measure(e){const i=[e.width,e.height,this.sizing_mode].toString(),t=this.changed&&\"fixed\"!=this.sizing_mode&&null!=this.sizing_mode?1:0,s=this._cache.get(i),n=this._cache_count.get(i);if(null!=s&&null!=n&&n>=t)return this._cache_count.set(i,n+1),s;const _=new h.Sizeable(e).bounded_to(this.sizing.size),a=o.sized(this.el,_,()=>{const e=new h.Sizeable(o.content_size(this.el)),{border:i,padding:t}=o.extents(this.el);return e.grow_by(i).grow_by(t).map(Math.ceil)});return this._cache.set(i,a),this._cache_count.set(i,0),a}invalidate_cache(){}}t.CachedVariadicBox=d,d.__name__=\"CachedVariadicBox\";class l extends n.MarkupView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.markup_el,this.model)}}t.PanelMarkupView=l,l.__name__=\"PanelMarkupView\";class c extends _.HTMLBoxView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.el,this.model)}}t.PanelHTMLBoxView=c,c.__name__=\"PanelHTMLBoxView\"},\n      \"66d52165db\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.audioEl=document.createElement(\"audio\"),this.audioEl.controls=!0,this.audioEl.src=this.model.value,this.audioEl.currentTime=this.model.time,this.audioEl.loop=this.model.loop,null!=this.model.volume?this.audioEl.volume=this.model.volume/100:this.model.volume=100*this.audioEl.volume,this.audioEl.onpause=()=>this.model.paused=!0,this.audioEl.onplay=()=>this.model.paused=!1,this.audioEl.ontimeupdate=()=>this.update_time(this),this.audioEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.audioEl),this.model.paused||this.audioEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.audioEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.audioEl.volume)}set_loop(){this.audioEl.loop=this.model.loop}set_paused(){!this.audioEl.paused&&this.model.paused&&this.audioEl.pause(),this.audioEl.paused&&!this.model.paused&&this.audioEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.audioEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.audioEl.currentTime=this.model.time)}set_value(){this.audioEl.src=this.model.value}}i.AudioView=d,d.__name__=\"AudioView\";class u extends s.HTMLBox{constructor(e){super(e)}static init_Audio(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}i.Audio=u,u.__name__=\"Audio\",u.__module__=\"panel.models.widgets\",u.init_Audio()},\n      \"71a9759436\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/document\"),s=e(\"@bokehjs/core/view\"),c=e(\"@bokehjs/model\"),_=e(\"@bokehjs/protocol/message\"),l=e(\"@bokehjs/protocol/receiver\");class r extends s.View{renderTo(){}}n.CommManagerView=r,r.__name__=\"CommManagerView\";class a extends c.Model{constructor(e){super(e),this._document_listener=e=>this._document_changed(e),this._receiver=new l.Receiver,this._event_buffer=[],this._blocked=!1,this._timeout=Date.now(),null!=window.PyViz&&window.PyViz.comm_manager?(this.ns=window.PyViz,this.ns.comm_manager.register_target(this.plot_id,this.comm_id,e=>this.msg_handler(e)),this._client_comm=this.ns.comm_manager.get_client_comm(this.plot_id,this.client_comm_id,e=>this.on_ack(e))):console.log(\"Could not find comm manager on window.PyViz, ensure the extension is loaded.\")}_doc_attached(){super._doc_attached(),null!=this.document&&this.document.on_change(this._document_listener)}_document_changed(e){e.setter_id!==this.id&&(e instanceof i.ModelChangedEvent&&!(e.attr in e.model.serializable_attributes())||(this._event_buffer.unshift(e),(!this._blocked||Date.now()>this._timeout)&&(setTimeout(()=>this.process_events(),this.debounce),this._blocked=!0,this._timeout=Date.now()+this.timeout)))}process_events(){if(null==this.document||null==this._client_comm)return;const e=_.Message.create(\"PATCH-DOC\",{},this.document.create_json_patch(this._event_buffer));this._client_comm.send(e),this._event_buffer=[]}on_ack(e){const t=e.metadata;this._event_buffer.length?(this.process_events(),this._blocked=!0,this._timeout=Date.now()+this.timeout):this._blocked=!1,this._event_buffer=[],\"Ready\"==t.msg_type&&t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback)}msg_handler(e){const t=e.metadata,n=e.buffers,o=e.content.data,i=this.plot_id;if(\"Ready\"==t.msg_type)t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback);else if(null!=i){let e=null;if(i in this.ns.plot_index&&null!=this.ns.plot_index[i]?e=this.ns.plot_index[i]:void 0!==window.Bokeh&&i in window.Bokeh.index&&(e=window.Bokeh.index[i]),null==e)return;null!=n&&n.length>0?this._receiver.consume(n[0].buffer):this._receiver.consume(o);const t=this._receiver.message;null!=t&&Object.keys(t.content).length>0&&null!=this.document&&this.document.apply_json_patch(t.content,t.buffers,this.id)}}static init_CommManager(){this.prototype.default_view=r,this.define({plot_id:[o.String,null],comm_id:[o.String,null],client_comm_id:[o.String,null],timeout:[o.Number,5e3],debounce:[o.Number,50]})}}n.CommManager=a,a.__name__=\"CommManager\",a.__module__=\"panel.models.comm_manager\",a.init_CommManager()},\n      \"d0d2aafca0\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\"),n=e(\"@bokehjs/core/dom\"),a=i.__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),c=e(\"7116a7a602\"),r=e(\"064eac2866\"),d=i.__importDefault(e(\"093eb75864\"));function l(){const e={},t=window.deck,o=Object.keys(t).filter(e=>e.charAt(0)===e.charAt(0).toUpperCase());for(const i of o)e[i]=t[i];return e}class _ extends c.PanelHTMLBoxView{connect_signals(){super.connect_signals();const{data:e,mapbox_api_key:t,tooltip:o,layers:i,initialViewState:n,data_sources:a}=this.model.properties;this.on_change([t,o],()=>this.render()),this.on_change([e,n],()=>this.updateDeck()),this.on_change([i],()=>this._update_layers()),this.on_change([a],()=>this._connect_sources(!0)),this._layer_map={},this._connected=[],this._connect_sources()}_update_layers(){this._layer_map={},this._update_data(!0)}_connect_sources(e=!1){for(const e of this.model.data_sources)this._connected.indexOf(e)<0&&(this.connect(e.properties.data.change,()=>this._update_data(!0)),this._connected.push(e));this._update_data(e)}initialize(){if(super.initialize(),window.deck.JSONConverter){const{CSVLoader:e,Tile3DLoader:t}=window.loaders;window.loaders.registerLoaders([t,e]);const o={classes:l(),enumerations:{COORDINATE_SYSTEM:window.deck.COORDINATE_SYSTEM,GL:d.default},constants:{Tile3DLoader:t}};this.jsonConverter=new window.deck.JSONConverter({configuration:o})}}_update_data(e=!0){let t=0;for(const e of this.model.layers){let o;if(t+=1,t-1 in this._layer_map)o=this.model.data_sources[this._layer_map[t-1]];else{if(\"number\"!=typeof e.data)continue;this._layer_map[t-1]=e.data,o=this.model.data_sources[e.data]}const i=[],n=o.columns();for(let e=0;e<o.get_length();e++){const t={};for(const i of n){let n=o.get_array(i);const a=null==n[0].shape?null:n[0].shape;null!=a&&a.length>1&&\"number\"==typeof a[0]?t[i]=n.slice(e*a[1],e*a[1]+a[1]):t[i]=n[e]}i.push(t)}e.data=i}e&&this.updateDeck()}_on_click_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.clickState=t}_on_hover_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.hoverState=t}_on_viewState_event(e){this.model.viewState=e.viewState}getData(){return Object.assign(Object.assign({},this.model.data),{layers:this.model.layers,initialViewState:this.model.initialViewState,onViewStateChange:e=>this._on_viewState_event(e),onClick:e=>this._on_click_event(e),onHover:e=>this._on_hover_event(e)})}updateDeck(){if(!this.deckGL)return void this.render();const e=this.getData();if(window.deck.updateDeck)window.deck.updateDeck(e,this.deckGL);else{const t=this.jsonConverter.convert(e);this.deckGL.setProps(t)}}createDeck({mapboxApiKey:e,container:t,jsonInput:o,tooltip:i}){let n;try{const a=this.jsonConverter.convert(o),s=r.makeTooltip(i);n=new window.deck.DeckGL(Object.assign(Object.assign({},a),{map:window.mapboxgl,mapboxApiAccessToken:e,container:t,getTooltip:s}))}catch(e){console.error(e)}return n}render(){super.render();const e=n.div({class:\"deckgl\"});c.set_size(e,this.model);const t=this.model.mapbox_api_key,o=this.model.tooltip,i=this.getData();window.deck.createDeck?this.deckGL=window.deck.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}):this.deckGL=this.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}),this.el.appendChild(e)}}o.DeckGLPlotView=_,_.__name__=\"DeckGLPlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_DeckGLPlot(){this.prototype.default_view=_,this.define({data:[a.Any],data_sources:[a.Array,[]],clickState:[a.Any],hoverState:[a.Any],initialViewState:[a.Any],layers:[a.Array,[]],mapbox_api_key:[a.String],tooltip:[a.Any],viewState:[a.Any]}),this.override({height:400,width:600})}}o.DeckGLPlot=h,h.__name__=\"DeckGLPlot\",h.__module__=\"panel.models.deckgl\",h.init_DeckGLPlot()},\n      \"064eac2866\": function _(e,t,n){\n      /*\n          This file was adapted from https://github.com/uber/deck.gl/ the LICENSE\n          below is preserved to comply with the original license.\n          \n          Copyright (c) 2015 - 2017 Uber Technologies, Inc.\n          \n          Permission is hereby granted, free of charge, to any person obtaining a copy\n          of this software and associated documentation files (the \"Software\"), to deal\n          in the Software without restriction, including without limitation the rights\n          to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n          copies of the Software, and to permit persons to whom the Software is\n          furnished to do so, subject to the following conditions:\n          \n          The above copyright notice and this permission notice shall be included in\n          all copies or substantial portions of the Software.\n          \n          THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n          IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n          FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n          AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n          LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n          OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n          THE SOFTWARE.\n          */\n      let i,l;Object.defineProperty(n,\"__esModule\",{value:!0});const o={fontFamily:'\"Helvetica Neue\", Helvetica, Arial, sans-serif',display:\"flex\",flex:\"wrap\",maxWidth:\"500px\",flexDirection:\"column\",zIndex:2};function r(){return document.createElement(\"div\")}function s(e){if(!e.picked)return null;if(e.object===i)return l;const t={html:a(e.object),style:o};return l=t,i=e.object,t}n.getTooltipDefault=s;const c=new Set([\"position\",\"index\"]);function a(e){const t=r();for(const n in e){if(c.has(n))continue;const i=r();i.className=\"header\",i.textContent=n;const l=r();l.className=\"value\",l.textContent=u(e[n]);const 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\"093eb75864\": function _(E,_,R){_.exports={DEPTH_BUFFER_BIT:256,STENCIL_BUFFER_BIT:1024,COLOR_BUFFER_BIT:16384,POINTS:0,LINES:1,LINE_LOOP:2,LINE_STRIP:3,TRIANGLES:4,TRIANGLE_STRIP:5,TRIANGLE_FAN:6,ZERO:0,ONE:1,SRC_COLOR:768,ONE_MINUS_SRC_COLOR:769,SRC_ALPHA:770,ONE_MINUS_SRC_ALPHA:771,DST_ALPHA:772,ONE_MINUS_DST_ALPHA:773,DST_COLOR:774,ONE_MINUS_DST_COLOR:775,SRC_ALPHA_SATURATE:776,CONSTANT_COLOR:32769,ONE_MINUS_CONSTANT_COLOR:32770,CONSTANT_ALPHA:32771,ONE_MINUS_CONSTANT_ALPHA:32772,FUNC_ADD:32774,FUNC_SUBTRACT:32778,FUNC_REVERSE_SUBTRACT:32779,BLEND_EQUATION:32777,BLEND_EQUATION_RGB:32777,BLEND_EQUATION_ALPHA:34877,BLEND_DST_RGB:32968,BLEND_SRC_RGB:32969,BLEND_DST_ALPHA:32970,BLEND_SRC_ALPHA:32971,BLEND_COLOR:32773,ARRAY_BUFFER_BINDING:34964,ELEMENT_ARRAY_BUFFER_BINDING:34965,LINE_WIDTH:2849,ALIASED_POINT_SIZE_RANGE:33901,ALIASED_LINE_WIDTH_RANGE:33902,CULL_FACE_MODE:2885,FRONT_FACE:2886,DEPTH_RANGE:2928,DEPTH_WRITEMASK:2930,DEPTH_CLEAR_VALUE:2931,DEPTH_FUNC:2932,STENCIL_CLEAR_VALUE:2961,STENCIL_FUNC:2962,STENCIL_FAIL:2964,STENCIL_PASS_DEPTH_FAIL:2965,STENCIL_PASS_DEPTH_PASS:2966,STENCIL_REF:2967,STENCIL_VALUE_MASK:2963,STENCIL_WRITEMASK:2968,STENCIL_BACK_FUNC:34816,STENCIL_BACK_FAIL:34817,STENCIL_BACK_PASS_DEPTH_FAIL:34818,STENCIL_BACK_PASS_DEPTH_PASS:34819,STENCIL_BACK_REF:36003,STENCIL_BACK_VALUE_MASK:36004,STENCIL_BACK_WRITEMASK:36005,VIEWPORT:2978,SCISSOR_BOX:3088,COLOR_CLEAR_VALUE:3106,COLOR_WRITEMASK:3107,UNPACK_ALIGNMENT:3317,PACK_ALIGNMENT:3333,MAX_TEXTURE_SIZE:3379,MAX_VIEWPORT_DIMS:3386,SUBPIXEL_BITS:3408,RED_BITS:3410,GREEN_BITS:3411,BLUE_BITS:3412,ALPHA_BITS:3413,DEPTH_BITS:3414,STENCIL_BITS:3415,POLYGON_OFFSET_UNITS:10752,POLYGON_OFFSET_FACTOR:32824,TEXTURE_BINDING_2D:32873,SAMPLE_BUFFERS:32936,SAMPLES:32937,SAMPLE_COVERAGE_VALUE:32938,SAMPLE_COVERAGE_INVERT:32939,COMPRESSED_TEXTURE_FORMATS:34467,VENDOR:7936,RENDERER:7937,VERSION:7938,IMPLEMENTATION_COLOR_READ_TYPE:35738,IMPLEMENTATION_COLOR_READ_FORMAT:35739,BROWSER_DEFAULT_WEBGL:37444,STATIC_DRAW:35044,STREAM_DRAW:35040,DYNAMIC_DRAW:35048,ARRAY_BUFFER:34962,ELEMENT_ARRAY_BUFFER:34963,BUFFER_SIZE:34660,BUFFER_USAGE:34661,CURRENT_VERTEX_ATTRIB:34342,VERTEX_ATTRIB_ARRAY_ENABLED:34338,VERTEX_ATTRIB_ARRAY_SIZE:34339,VERTEX_ATTRIB_ARRAY_STRIDE:34340,VERTEX_ATTRIB_ARRAY_TYPE:34341,VERTEX_ATTRIB_ARRAY_NORMALIZED:34922,VERTEX_ATTRIB_ARRAY_POINTER:34373,VERTEX_ATTRIB_ARRAY_BUFFER_BINDING:34975,CULL_FACE:2884,FRONT:1028,BACK:1029,FRONT_AND_BACK:1032,BLEND:3042,DEPTH_TEST:2929,DITHER:3024,POLYGON_OFFSET_FILL:32823,SAMPLE_ALPHA_TO_COVERAGE:32926,SAMPLE_COVERAGE:32928,SCISSOR_TEST:3089,STENCIL_TEST:2960,NO_ERROR:0,INVALID_ENUM:1280,INVALID_VALUE:1281,INVALID_OPERATION:1282,OUT_OF_MEMORY:1285,CONTEXT_LOST_WEBGL:37442,CW:2304,CCW:2305,DONT_CARE:4352,FASTEST:4353,NICEST:4354,GENERATE_MIPMAP_HINT:33170,BYTE:5120,UNSIGNED_BYTE:5121,SHORT:5122,UNSIGNED_SHORT:5123,INT:5124,UNSIGNED_INT:5125,FLOAT:5126,DOUBLE:5130,DEPTH_COMPONENT:6402,ALPHA:6406,RGB:6407,RGBA:6408,LUMINANCE:6409,LUMINANCE_ALPHA:6410,UNSIGNED_SHORT_4_4_4_4:32819,UNSIGNED_SHORT_5_5_5_1:32820,UNSIGNED_SHORT_5_6_5:33635,FRAGMENT_SHADER:35632,VERTEX_SHADER:35633,COMPILE_STATUS:35713,DELETE_STATUS:35712,LINK_STATUS:35714,VALIDATE_STATUS:35715,ATTACHED_SHADERS:35717,ACTIVE_ATTRIBUTES:35721,ACTIVE_UNIFORMS:35718,MAX_VERTEX_ATTRIBS:34921,MAX_VERTEX_UNIFORM_VECTORS:36347,MAX_VARYING_VECTORS:36348,MAX_COMBINED_TEXTURE_IMAGE_UNITS:35661,MAX_VERTEX_TEXTURE_IMAGE_UNITS:35660,MAX_TEXTURE_IMAGE_UNITS:34930,MAX_FRAGMENT_UNIFORM_VECTORS:36349,SHADER_TYPE:35663,SHADING_LANGUAGE_VERSION:35724,CURRENT_PROGRAM:35725,NEVER:512,ALWAYS:519,LESS:513,EQUAL:514,LEQUAL:515,GREATER:516,GEQUAL:518,NOTEQUAL:517,KEEP:7680,REPLACE:7681,INCR:7682,DECR:7683,INVERT:5386,INCR_WRAP:34055,DECR_WRAP:34056,NEAREST:9728,LINEAR:9729,NEAREST_MIPMAP_NEAREST:9984,LINEAR_MIPMAP_NEAREST:9985,NEAREST_MIPMAP_LINEAR:9986,LINEAR_MIPMAP_LINEAR:9987,TEXTURE_MAG_FILTER:10240,TEXTURE_MIN_FILTER:10241,TEXTURE_WRAP_S:10242,TEXTURE_WRAP_T:10243,TEXTURE_2D:3553,TEXTURE:5890,TEXTURE_CUBE_MAP:34067,TEXTURE_BINDING_CUBE_MAP:34068,TEXTURE_CUBE_MAP_POSITIVE_X:34069,TEXTURE_CUBE_MAP_NEGATIVE_X:34070,TEXTURE_CUBE_MAP_POSITIVE_Y:34071,TEXTURE_CUBE_MAP_NEGATIVE_Y:34072,TEXTURE_CUBE_MAP_POSITIVE_Z:34073,TEXTURE_CUBE_MAP_NEGATIVE_Z:34074,MAX_CUBE_MAP_TEXTURE_SIZE:34076,TEXTURE0:33984,ACTIVE_TEXTURE:34016,REPEAT:10497,CLAMP_TO_EDGE:33071,MIRRORED_REPEAT:33648,TEXTURE_WIDTH:4096,TEXTURE_HEIGHT:4097,FLOAT_VEC2:35664,FLOAT_VEC3:35665,FLOAT_VEC4:35666,INT_VEC2:35667,INT_VEC3:35668,INT_VEC4:35669,BOOL:35670,BOOL_VEC2:35671,BOOL_VEC3:35672,BOOL_VEC4:35673,FLOAT_MAT2:35674,FLOAT_MAT3:35675,FLOAT_MAT4:35676,SAMPLER_2D:35678,SAMPLER_CUBE:35680,LOW_FLOAT:36336,MEDIUM_FLOAT:36337,HIGH_FLOAT:36338,LOW_INT:36339,MEDIUM_INT:36340,HIGH_INT:36341,FRAMEBUFFER:36160,RENDERBUFFER:36161,RGBA4:32854,RGB5_A1:32855,RGB565:36194,DEPTH_COMPONENT16:33189,STENCIL_INDEX:6401,STENCIL_INDEX8:36168,DEPTH_STENCIL:34041,RENDERBUFFER_WIDTH:36162,RENDERBUFFER_HEIGHT:36163,RENDERBUFFER_INTERNAL_FORMAT:36164,RENDERBUFFER_RED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none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \"No properties\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \"[]\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n  color: green;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n  color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n  color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n  color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n  color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n  background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: blue;\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n  color: #00008B;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \"►\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n  color: white;\\n  text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \"No properties\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \"[]\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n  color: #31F031;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n  color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n  color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n  color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n  color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n  color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n  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this.config.useToJSON&&\"stringifiable\"===this.type},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"hasKey\",{get:function(){return void 0!==this.key},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"constructorName\",{get:function(){return i(this.json)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"type\",{get:function(){return this.config.useToJSON&&this.json&&this.json.toJSON?\"stringifiable\":n(this.json)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"keys\",{get:function(){if(this.isObject){var t=Object.keys(this.json);return!this.isArray&&this.config.sortPropertiesBy?t.sort(this.config.sortPropertiesBy):t}return[]},enumerable:!0,configurable:!0}),t.prototype.toggleOpen=function(){this.isOpen=!this.isOpen,this.element&&(this.isOpen?this.appendChildren(this.config.animateOpen):this.removeChildren(this.config.animateClose),this.element.classList.toggle(f(\"open\")))},t.prototype.openAtDepth=function(t){void 0===t&&(t=1),t<0||(this.open=t,this.isOpen=0!==t,this.element&&(this.removeChildren(!1),0===t?this.element.classList.remove(f(\"open\")):(this.appendChildren(this.config.animateOpen),this.element.classList.add(f(\"open\")))))},t.prototype.getInlinepreview=function(){var t=this;if(this.isArray)return this.json.length>this.config.hoverPreviewArrayCount?\"Array[\"+this.json.length+\"]\":\"[\"+this.json.map(a).join(\", \")+\"]\";var e=this.keys,r=e.slice(0,this.config.hoverPreviewFieldCount).map((function(e){return 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e=r.keys[o],s=new t(r.json[e],r.open-1,r.config,e);n.appendChild(s.render()),(o+=1)<r.keys.length&&(o>10?i():p(i))};p(i)}else this.keys.forEach((function(e){var o=new t(r.json[e],r.open-1,r.config,e);n.appendChild(o.render())}))},t.prototype.removeChildren=function(t){void 0===t&&(t=!1);var e=this.element.querySelector(\"div.\"+f(\"children\"));if(t){var r=0,n=function(){e&&e.children.length&&(e.removeChild(e.children[0]),(r+=1)>10?n():p(n))};p(n)}else e&&(e.innerHTML=\"\")},t}();r.default=h},\n      \"61c9ac7aac\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(\"tslib\"),s=e(\"@bokehjs/models/widgets/input_widget\"),o=e(\"@bokehjs/styles/buttons\"),n=l.__importStar(e(\"@bokehjs/core/properties\"));class a extends s.InputWidgetView{constructor(){super(...arguments),this._downloadable=!1,this._embed=!1,this._prev_href=\"\",this._prev_download=\"\"}initialize(){super.initialize(),this.model.data&&this.model.filename&&(this._embed=!0)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.button_type.change,()=>this._update_button_style()),this.connect(this.model.properties.filename.change,()=>this._update_download()),this.connect(this.model.properties._transfers.change,()=>this._handle_click()),this.connect(this.model.properties.label.change,()=>this._update_label())}render(){super.render(),this.group_el.style.display=\"flex\",this.group_el.style.alignItems=\"stretch\",this.anchor_el=document.createElement(\"a\"),this._update_button_style(),this._update_label(),this.model.disabled?(this.anchor_el.setAttribute(\"disabled\",\"\"),this._downloadable=!1):(this.anchor_el.removeAttribute(\"disabled\"),this._prev_download&&(this.anchor_el.download=this._prev_download),this._prev_href&&(this.anchor_el.href=this._prev_href),this.anchor_el.download&&this.anchor_el.download&&(this._downloadable=!0)),this._embed?this._make_link_downloadable():(this._click_listener=this._increment_clicks.bind(this),this.anchor_el.addEventListener(\"click\",this._click_listener)),this.group_el.appendChild(this.anchor_el)}_increment_clicks(){this.model.clicks=this.model.clicks+1}_handle_click(){!this.model.auto&&this._downloadable||(this._make_link_downloadable(),!this._embed&&this.model.auto&&(this.anchor_el.removeEventListener(\"click\",this._click_listener),this.anchor_el.click(),this.anchor_el.removeAttribute(\"href\"),this.anchor_el.removeAttribute(\"download\"),this.anchor_el.addEventListener(\"click\",this._click_listener)),this._prev_href=this.anchor_el.getAttribute(\"href\"),this._prev_download=this.anchor_el.getAttribute(\"download\"))}_make_link_downloadable(){this._update_href(),this._update_download(),this.anchor_el.download&&this.anchor_el.href&&(this._downloadable=!0)}_update_href(){if(this.model.data){const e=function(e){const t=atob(e.split(\",\")[1]),i=e.split(\",\")[0].split(\":\")[1].split(\";\")[0],l=new ArrayBuffer(t.length),s=new Uint8Array(l);for(let e=0;e<t.length;e++)s[e]=t.charCodeAt(e);return new Blob([l],{type:i})}(this.model.data);this.anchor_el.href=URL.createObjectURL(e)}}_update_download(){this.model.filename&&(this.anchor_el.download=this.model.filename)}_update_label(){this.anchor_el.textContent=this.model.label}_update_button_style(){if(this.anchor_el.hasAttribute(\"class\")){const e=this.anchor_el.classList.item(1);e&&this.anchor_el.classList.replace(e,o.bk_btn_type(this.model.button_type))}else this.anchor_el.classList.add(o.bk_btn),this.anchor_el.classList.add(o.bk_btn_type(this.model.button_type))}}i.FileDownloadView=a,a.__name__=\"FileDownloadView\";class h extends s.InputWidget{constructor(e){super(e)}static init_FileDownload(){this.prototype.default_view=a,this.define({auto:[n.Boolean,!1],clicks:[n.Number,0],data:[n.String,null],label:[n.String,\"Download\"],filename:[n.String,null],button_type:[n.ButtonType,\"default\"],_transfers:[n.Number,0]}),this.override({title:\"\"})}}i.FileDownload=h,h.__name__=\"FileDownload\",h.__module__=\"panel.models.widgets\",h.init_FileDownload()},\n      \"7b859fb3cf\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(\"@bokehjs/models/widgets/markup\"),n=e(\"7116a7a602\");class r extends n.PanelMarkupView{render(){super.render(),this.markup_el.innerHTML=this.model.text,window.renderMathInElement&&window.renderMathInElement(this.el,{delimiters:[{left:\"$$\",right:\"$$\",display:!0},{left:\"\\\\[\",right:\"\\\\]\",display:!0},{left:\"$\",right:\"$\",display:!1},{left:\"\\\\(\",right:\"\\\\)\",display:!1}]})}}i.KaTeXView=r,r.__name__=\"KaTeXView\";class s extends a.Markup{constructor(e){super(e)}static init_KaTeX(){this.prototype.default_view=r}}i.KaTeX=s,s.__name__=\"KaTeX\",s.__module__=\"panel.models.katex\",s.init_KaTeX()},\n      \"0c21036737\": function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(\"@bokehjs/models/widgets/markup\"),s=e(\"7116a7a602\");class _ extends s.PanelMarkupView{initialize(){super.initialize(),this._hub=window.MathJax.Hub,this._hub.Config({tex2jax:{inlineMath:[[\"$\",\"$\"],[\"\\\\(\",\"\\\\)\"]]}})}render(){super.render(),this._hub&&(this.markup_el.innerHTML=this.model.text,this._hub.Queue([\"Typeset\",this._hub,this.markup_el]))}}a.MathJaxView=_,_.__name__=\"MathJaxView\";class h extends i.Markup{constructor(e){super(e)}static init_MathJax(){this.prototype.default_view=_}}a.MathJax=h,h.__name__=\"MathJax\",h.__module__=\"panel.models.mathjax\",h.init_MathJax()},\n      \"79c41bbf71\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/models/widgets/widget\");function n(e){e.forEach(e=>e.style.borderStyle=\"inset\")}function a(e){e.forEach(e=>e.style.borderStyle=\"outset\")}class r extends l.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.value.change,()=>this.render()),this.connect(this.model.properties.loop_policy.change,()=>this.set_loop_state(this.model.loop_policy)),this.connect(this.model.properties.show_loop_controls.change,()=>{this.model.show_loop_controls&&this.loop_state.parentNode!=this.groupEl?this.groupEl.appendChild(this.loop_state):this.model.show_loop_controls||this.loop_state.parentNode!=this.groupEl||this.el.removeChild(this.loop_state)})}get_height(){return 250}render(){if(null!=this.sliderEl)return this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),void(this.sliderEl.value=String(this.model.value));super.render(),this.groupEl=o.div(),this.groupEl.style.display=\"flex\",this.groupEl.style.flexDirection=\"column\",this.groupEl.style.alignItems=\"center\",this.sliderEl=document.createElement(\"input\"),this.sliderEl.style.width=\"100%\",this.sliderEl.setAttribute(\"type\",\"range\"),this.sliderEl.value=String(this.model.value),this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),this.sliderEl.onchange=e=>this.set_frame(parseInt(e.target.value));const e=o.div();e.style.cssText=\"margin: 0 auto; display: flex; padding: 5px; align-items: stretch; width: 100%;\";const t=\"text-align: center; min-width: 20px; flex-grow: 1; margin: 2px\",s=\"text-align: center; min-width: 40px; flex-grow: 2; margin: 2px\",i=document.createElement(\"button\");i.style.cssText=t,i.appendChild(document.createTextNode(\"–\")),i.onclick=()=>this.slower(),e.appendChild(i);const l=document.createElement(\"button\");l.style.cssText=s,l.appendChild(document.createTextNode(\"❚◀◀\")),l.onclick=()=>this.first_frame(),e.appendChild(l);const r=document.createElement(\"button\");r.style.cssText=s,r.appendChild(document.createTextNode(\"❚◀\")),r.onclick=()=>this.previous_frame(),e.appendChild(r);const d=document.createElement(\"button\");d.style.cssText=s,d.appendChild(document.createTextNode(\"◀\")),d.onclick=()=>this.reverse_animation(),e.appendChild(d);const h=document.createElement(\"button\");h.style.cssText=s,h.appendChild(document.createTextNode(\"❚❚\")),h.onclick=()=>this.pause_animation(),e.appendChild(h);const p=document.createElement(\"button\");p.style.cssText=s,p.appendChild(document.createTextNode(\"▶\")),p.onclick=()=>this.play_animation(),e.appendChild(p);const c=document.createElement(\"button\");c.style.cssText=s,c.appendChild(document.createTextNode(\"▶❚\")),c.onclick=()=>this.next_frame(),e.appendChild(c);const m=document.createElement(\"button\");m.style.cssText=s,m.appendChild(document.createTextNode(\"▶▶❚\")),m.onclick=()=>this.last_frame(),e.appendChild(m);const _=document.createElement(\"button\");_.style.cssText=t,_.appendChild(document.createTextNode(\"+\")),_.onclick=()=>this.faster(),e.appendChild(_),this._toggle_reverse=()=>{a([h,p]),n([d])},this._toogle_pause=()=>{a([d,p]),n([h])},this._toggle_play=()=>{a([d,h]),n([p])},this.loop_state=document.createElement(\"form\"),this.loop_state.style.cssText=\"margin: 0 auto; display: table\";const u=document.createElement(\"input\");u.type=\"radio\",u.value=\"once\",u.name=\"state\";const g=document.createElement(\"label\");g.innerHTML=\"Once\",g.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const f=document.createElement(\"input\");f.setAttribute(\"type\",\"radio\"),f.setAttribute(\"value\",\"loop\"),f.setAttribute(\"name\",\"state\");const v=document.createElement(\"label\");v.innerHTML=\"Loop\",v.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const y=document.createElement(\"input\");y.setAttribute(\"type\",\"radio\"),y.setAttribute(\"value\",\"reflect\"),y.setAttribute(\"name\",\"state\");const x=document.createElement(\"label\");x.innerHTML=\"Reflect\",x.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\",\"once\"==this.model.loop_policy?u.checked=!0:\"loop\"==this.model.loop_policy?f.checked=!0:y.checked=!0,this.loop_state.appendChild(u),this.loop_state.appendChild(g),this.loop_state.appendChild(f),this.loop_state.appendChild(v),this.loop_state.appendChild(y),this.loop_state.appendChild(x),this.groupEl.appendChild(this.sliderEl),this.groupEl.appendChild(e),this.model.show_loop_controls&&this.groupEl.appendChild(this.loop_state),this.el.appendChild(this.groupEl)}set_frame(e){this.model.value!=e&&(this.model.value=e),this.sliderEl.value!=String(e)&&(this.sliderEl.value=String(e))}get_loop_state(){for(var e=this.loop_state.state,t=0;t<e.length;t++){var s=e[t];if(s.checked)return s.value}return\"once\"}set_loop_state(e){for(var t=this.loop_state.state,s=0;s<t.length;s++){var i=t[s];i.value==e&&(i.checked=!0)}}next_frame(){this.set_frame(Math.min(this.model.end,this.model.value+this.model.step))}previous_frame(){this.set_frame(Math.max(this.model.start,this.model.value-this.model.step))}first_frame(){this.set_frame(this.model.start)}last_frame(){this.set_frame(this.model.end)}slower(){this.model.interval=Math.round(this.model.interval/.7),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}faster(){this.model.interval=Math.round(.7*this.model.interval),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}anim_step_forward(){if(this.model.value<this.model.end)this.next_frame();else{var e=this.get_loop_state();\"loop\"==e?this.first_frame():\"reflect\"==e?(this.last_frame(),this.reverse_animation()):(this.pause_animation(),this.last_frame())}}anim_step_reverse(){if(this.model.value>this.model.start)this.previous_frame();else{var e=this.get_loop_state();\"loop\"==e?this.last_frame():\"reflect\"==e?(this.first_frame(),this.play_animation()):(this.pause_animation(),this.first_frame())}}pause_animation(){this._toogle_pause(),this.model.direction=0,this.timer&&(clearInterval(this.timer),this.timer=null)}play_animation(){this.pause_animation(),this._toggle_play(),this.model.direction=1,this.timer||(this.timer=setInterval(()=>this.anim_step_forward(),this.model.interval))}reverse_animation(){this.pause_animation(),this._toggle_reverse(),this.model.direction=-1,this.timer||(this.timer=setInterval(()=>this.anim_step_reverse(),this.model.interval))}}s.PlayerView=r,r.__name__=\"PlayerView\";class d extends l.Widget{constructor(e){super(e)}static init_Player(){this.prototype.default_view=r,this.define({direction:[i.Number,0],interval:[i.Number,500],start:[i.Number],end:[i.Number],step:[i.Number,1],loop_policy:[i.Any,\"once\"],value:[i.Any,0],show_loop_controls:[i.Boolean,!0]}),this.override({width:400})}}s.Player=d,d.__name__=\"Player\",d.__module__=\"panel.models.widgets\",d.init_Player()},\n      \"56da045fbd\": function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),l=t(\"@bokehjs/core/util/object\"),r=t(\"@bokehjs/core/util/eq\"),s=t(\"@bokehjs/models/layouts/html_box\"),n=t(\"99a25e6992\"),a=t(\"990b5dd5c7\"),p=t(\"7116a7a602\"),h=(t,e,o)=>{let i=Array.isArray(e)?[]:{};if(\"click\"===o||\"hover\"===o||\"selected\"===o){const o=[];if(null==e)return null;const l=t.data;for(let t=0;t<e.points.length;t++){const i=e.points[t];let r={};for(let t in i){const e=i[t];!i.hasOwnProperty(t)||Array.isArray(e)||a.isPlainObject(e)||(r[t]=e)}null!=i&&(i.hasOwnProperty(\"curveNumber\")&&i.hasOwnProperty(\"pointNumber\")&&l[i.curveNumber].hasOwnProperty(\"customdata\")&&(r.customdata=l[i.curveNumber].customdata[i.pointNumber]),i.hasOwnProperty(\"pointNumbers\")&&(r.pointNumbers=i.pointNumbers)),o[t]=r}i.points=o}else if(\"relayout\"===o||\"restyle\"===o)for(let t in e)e.hasOwnProperty(t)&&(i[t]=e[t]);return e.hasOwnProperty(\"range\")&&(i.range=e.range),e.hasOwnProperty(\"lassoPoints\")&&(i.lassoPoints=e.lassoPoints),i};class _ extends p.PanelHTMLBoxView{constructor(){super(...arguments),this._settingViewport=!1,this._plotInitialized=!1,this._reacting=!1,this._relayouting=!1,this._end_relayouting=n.debounce(()=>{this._relayouting=!1},2e3,!1)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.viewport_update_policy.change,this._updateSetViewportFunction),this.connect(this.model.properties.viewport_update_throttle.change,this._updateSetViewportFunction),this.connect(this.model.properties._render_count.change,this.plot),this.connect(this.model.properties.viewport.change,this._updateViewportFromProperty)}render(){super.render(),window.Plotly&&this.plot()}plot(){if(!window.Plotly)return;const t=[];for(let e=0;e<this.model.data.length;e++)t.push(this._get_trace(e,!1));let e=a.deepCopy(this.model.layout);if(this._relayouting){const t=this.el.layout;Object.keys(t).reduce((t,o)=>{\"axis\"===o.slice(1,5)&&\"range\"in t&&(e[o].range=t.range)},{})}this._reacting=!0,window.Plotly.react(this.el,t,e,this.model.config).then(()=>{this._updateSetViewportFunction(),this._updateViewportProperty(),this._plotInitialized||(this.el.on(\"plotly_relayout\",t=>{!0!==t._update_from_property&&(this.model.relayout_data=h(this.el,t,\"relayout\"),this._updateViewportProperty(),this._end_relayouting())}),this.el.on(\"plotly_relayouting\",()=>{\"mouseup\"!==this.model.viewport_update_policy&&(this._relayouting=!0,this._updateViewportProperty())}),this.el.on(\"plotly_restyle\",t=>{this.model.restyle_data=h(this.el,t,\"restyle\"),this._updateViewportProperty()}),this.el.on(\"plotly_click\",t=>{this.model.click_data=h(this.el,t,\"click\")}),this.el.on(\"plotly_hover\",t=>{this.model.hover_data=h(this.el,t,\"hover\")}),this.el.on(\"plotly_selected\",t=>{this.model.selected_data=h(this.el,t,\"selected\")}),this.el.on(\"plotly_clickannotation\",t=>{delete t.event,delete t.fullAnnotation,this.model.clickannotation_data=t}),this.el.on(\"plotly_deselect\",()=>{this.model.selected_data=null}),this.el.on(\"plotly_unhover\",()=>{this.model.hover_data=null})),this._plotInitialized=!0,this._reacting=!1})}_get_trace(t,e){const o=l.clone(this.model.data[t]),i=this.model.data_sources[t];for(const t of i.columns()){let l=i.get_array(t)[0];if(null!=l.shape&&l.shape.length>1){const t=[],e=l.shape;for(let o=0;o<e[0];o++)t.push(l.slice(o*e[1],(o+1)*e[1]));l=t}let r=t.split(\".\"),s=r[r.length-1],n=o;for(let t of r.slice(0,-1))n=n[t];e&&1==r.length?n[s]=[l]:n[s]=l}return o}_updateViewportFromProperty(){if(!window.Plotly||this._settingViewport||this._reacting||!this.model.viewport)return;const t=this.el._fullLayout;Object.keys(this.model.viewport).reduce((e,o)=>{if(r.isEqual(a.get(t,o),e))return!0;{let t=a.deepCopy(this.model.viewport);return t._update_from_property=!0,window.Plotly.relayout(this.el,t),!1}},{})}_updateViewportProperty(){const t=this.el._fullLayout;let e={};for(let o in t){if(!t.hasOwnProperty(o))continue;let i=o.slice(0,5);\"xaxis\"!==i&&\"yaxis\"!==i||(e[o+\".range\"]=a.deepCopy(t[o].range))}r.isEqual(e,this.model.viewport)||this._setViewport(e)}_updateSetViewportFunction(){\"continuous\"===this.model.viewport_update_policy||\"mouseup\"===this.model.viewport_update_policy?this._setViewport=t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}:this._setViewport=a.throttle(t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)},this.model.viewport_update_throttle)}}o.PlotlyPlotView=_,_.__name__=\"PlotlyPlotView\";class d extends s.HTMLBox{constructor(t){super(t)}static init_PlotlyPlot(){this.prototype.default_view=_,this.define({data:[i.Array,[]],layout:[i.Any,{}],config:[i.Any,{}],data_sources:[i.Array,[]],relayout_data:[i.Any,{}],restyle_data:[i.Array,[]],click_data:[i.Any,{}],hover_data:[i.Any,{}],clickannotation_data:[i.Any,{}],selected_data:[i.Any,{}],viewport:[i.Any,{}],viewport_update_policy:[i.String,\"mouseup\"],viewport_update_throttle:[i.Number,200],_render_count:[i.Number,0]})}}o.PlotlyPlot=d,d.__name__=\"PlotlyPlot\",d.__module__=\"panel.models.plotly\",d.init_PlotlyPlot()},\n      \"99a25e6992\": function _(n,l,u){function t(n,l,u){var t,e,o,a,r;function i(){var c=Date.now()-a;c<l&&c>=0?t=setTimeout(i,l-c):(t=null,u||(r=n.apply(o,e),o=e=null))}null==l&&(l=100);var c=function(){o=this,e=arguments,a=Date.now();var c=u&&!t;return t||(t=setTimeout(i,l)),c&&(r=n.apply(o,e),o=e=null),r};return c.clear=function(){t&&(clearTimeout(t),t=null)},c.flush=function(){t&&(r=n.apply(o,e),o=e=null,clearTimeout(t),t=null)},c}t.debounce=t,l.exports=t},\n      \"990b5dd5c7\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.get=(t,e,n)=>{const r=n=>String.prototype.split.call(e,n).filter(Boolean).reduce((t,e)=>null!=t?t[e]:t,t),o=r(/[,[\\]]+?/)||r(/[,[\\].]+?/);return void 0===o||o===t?n:o},n.throttle=function(t,e){var n=0;return function(){var r=Number(new Date);r-n>=e&&(t(),n=r)}},n.deepCopy=function t(e){var n;if(null==e||\"object\"!=typeof e)return e;if(e instanceof Array){n=[];for(var r=0,o=e.length;r<o;r++)n[r]=t(e[r]);return n}if(e instanceof Object){const n={};for(const r in e){const o=r;e.hasOwnProperty(o)&&(n[o]=t(e[o]))}return n}throw new Error(\"Unable to copy obj! Its type isn't supported.\")},n.isPlainObject=function(t){return\"[object Object]\"===Object.prototype.toString.call(t)}},\n      \"76307e5afa\": function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),r=e(\"7116a7a602\");class l extends o.HTMLBoxView{connect_signals(){super.connect_signals();const e=()=>{this.render(),this.root.compute_layout()};this.connect(this.model.properties.height.change,e),this.connect(this.model.properties.width.change,e),this.connect(this.model.properties.height_policy.change,e),this.connect(this.model.properties.width_policy.change,e),this.connect(this.model.properties.sizing_mode.change,e),this.connect(this.model.properties.active.change,()=>this.setCSS()),this.connect(this.model.properties.bar_color.change,()=>this.setCSS()),this.connect(this.model.properties.css_classes.change,()=>this.setCSS()),this.connect(this.model.properties.value.change,()=>this.setValue()),this.connect(this.model.properties.max.change,()=>this.setMax())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.progressEl=document.createElement(\"progress\"),this.setValue(),this.setMax(),r.set_size(this.progressEl,this.model),this.setCSS();for(const s in e)this.progressEl.style.setProperty(s,e[s]);this.el.appendChild(this.progressEl)}setCSS(){let e=this.model.css_classes.join(\" \")+\" \"+this.model.bar_color;this.model.active&&(e+=\" active\"),this.progressEl.className=e}setValue(){null!=this.model.value&&(this.progressEl.value=this.model.value)}setMax(){null!=this.model.max&&(this.progressEl.max=this.model.max)}_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new r.CachedVariadicBox(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}}t.ProgressView=l,l.__name__=\"ProgressView\";class h extends o.HTMLBox{constructor(e){super(e)}static init_Progress(){this.prototype.default_view=l,this.define({active:[i.Boolean,!0],bar_color:[i.String,\"primary\"],style:[i.Any,{}],max:[i.Number,100],value:[i.Number,null]})}}t.Progress=h,h.__name__=\"Progress\",h.__module__=\"panel.models.widgets\",h.init_Progress()},\n      \"38b2bc9574\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),a=e(\"@bokehjs/core/view\"),o=e(\"@bokehjs/core/util/array\"),c=e(\"@bokehjs/model\"),n=e(\"@bokehjs/protocol/receiver\");class r extends a.View{renderTo(){}}s.StateView=r,r.__name__=\"StateView\";class _ extends c.Model{constructor(e){super(e),this._receiver=new n.Receiver,this._cache={}}apply_state(e){this._receiver.consume(e.header),this._receiver.consume(e.metadata),this._receiver.consume(e.content),this._receiver.message&&this.document&&this.document.apply_json_patch(this._receiver.message.content)}_receive_json(e,t){const s=JSON.parse(e);this._cache[t]=s;let i=this.state;for(const e of this.values)i=i[e];i===t?this.apply_state(s):this._cache[i]&&this.apply_state(this._cache[i])}set_state(e,t){let s=o.copy(this.values);s[this.widgets[e.id]]=t;let i=this.state;for(const e of s)i=i[e];var a,c,n;this.values=s,this.json?this._cache[i]?this.apply_state(this._cache[i]):(a=i,c=e=>this._receive_json(e,i),(n=new XMLHttpRequest).overrideMimeType(\"application/json\"),n.open(\"GET\",a,!0),n.onreadystatechange=function(){4==n.readyState&&200==n.status&&c(n.responseText)},n.send(null)):this.apply_state(i)}static init_State(){this.prototype.default_view=r,this.define({json:[i.Boolean,!1],state:[i.Any,{}],widgets:[i.Any,{}],values:[i.Any,[]]})}}s.State=_,_.__name__=\"State\",_.__module__=\"panel.models.state\",_.init_State()},\n      \"294adeb985\": function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),a=t(\"@bokehjs/core/util/types\"),n=t(\"@bokehjs/models/layouts/html_box\");class c extends n.HTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,this._plot),this.connect(this.model.properties.data_sources.change,()=>this._connect_sources()),this._connected=[],this._connect_sources()}_connect_sources(){for(const t in this.model.data_sources){const e=this.model.data_sources[t];this._connected.indexOf(t)<0&&(this.connect(e.properties.data.change,this._plot),this._connected.push(t))}}_fetch_datasets(){const t={};for(const e in this.model.data_sources){const s=this.model.data_sources[e],o=[],a=s.columns();for(let t=0;t<s.get_length();t++){const e={};for(const o of a)e[o]=s.data[o][t];o.push(e)}t[e]=o}return t}render(){super.render(),this._plot()}_plot(){const t=this.model.data;if(null!=t&&window.vegaEmbed){if(this.model.data_sources&&Object.keys(this.model.data_sources).length>0){const e=this._fetch_datasets();if(\"data\"in e&&(t.data.values=e.data,delete e.data),null!=t.data){const s=a.isArray(t.data)?t.data:[t.data];for(const t of s)t.name in e&&(t.values=e[t.name],delete e[t.name])}this.model.data.datasets=e}window.vegaEmbed(this.el,this.model.data,{actions:!1})}}}s.VegaPlotView=c,c.__name__=\"VegaPlotView\";class i extends n.HTMLBox{constructor(t){super(t)}static init_VegaPlot(){this.prototype.default_view=c,this.define({data:[o.Any],data_sources:[o.Any]})}}s.VegaPlot=i,i.__name__=\"VegaPlot\",i.__module__=\"panel.models.vega\",i.init_VegaPlot()},\n      \"b0c3e9e9c2\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.videoEl.controls=!0,this.videoEl.src=this.model.value,this.videoEl.currentTime=this.model.time,this.videoEl.loop=this.model.loop,null!=this.model.volume?this.videoEl.volume=this.model.volume/100:this.model.volume=100*this.videoEl.volume,this.videoEl.onpause=()=>this.model.paused=!0,this.videoEl.onplay=()=>this.model.paused=!1,this.videoEl.ontimeupdate=()=>this.update_time(this),this.videoEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.videoEl),this.model.paused||this.videoEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.videoEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.videoEl.volume)}set_loop(){this.videoEl.loop=this.model.loop}set_paused(){!this.videoEl.paused&&this.model.paused&&this.videoEl.pause(),this.videoEl.paused&&!this.model.paused&&this.videoEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.videoEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.videoEl.currentTime=this.model.time)}set_value(){this.videoEl.src=this.model.value}}t.VideoView=d,d.__name__=\"VideoView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_Video(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}t.Video=h,h.__name__=\"Video\",h.__module__=\"panel.models.widgets\",h.init_Video()},\n      \"3c7145a2fa\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"7116a7a602\");class a extends h.PanelHTMLBoxView{constructor(){super(...arguments),this.constraints={audio:!1,video:!0}}initialize(){super.initialize(),null!==this.model.timeout&&this.set_timeout()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.timeout.change,()=>this.set_timeout()),this.connect(this.model.properties.snapshot.change,()=>this.snapshot()),this.connect(this.model.properties.paused.change,()=>this.pause())}pause(){this.model.paused&&(null!=this.timer&&(clearInterval(this.timer),this.timer=null),this.videoEl.pause()),this.set_timeout()}set_timeout(){this.timer&&(clearInterval(this.timer),this.timer=null),this.model.timeout>0&&(this.timer=setInterval(()=>this.snapshot(),this.model.timeout))}snapshot(){this.canvasEl.width=this.videoEl.videoWidth,this.canvasEl.height=this.videoEl.videoHeight;const e=this.canvasEl.getContext(\"2d\");e&&e.drawImage(this.videoEl,0,0,this.canvasEl.width,this.canvasEl.height),this.model.value=this.canvasEl.toDataURL(\"image/\"+this.model.format,.95)}remove(){super.remove(),this.timer&&(clearInterval(this.timer),this.timer=null)}render(){super.render(),this.videoEl||(this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.canvasEl=document.createElement(\"canvas\"),this.el.appendChild(this.videoEl),navigator.mediaDevices.getUserMedia&&navigator.mediaDevices.getUserMedia(this.constraints).then(e=>{this.videoEl.srcObject=e,this.model.paused||this.videoEl.play()}).catch(console.error))}}i.VideoStreamView=a,a.__name__=\"VideoStreamView\";class l extends o.HTMLBox{constructor(e){super(e)}static init_VideoStream(){this.prototype.default_view=a,this.define({format:[s.String,\"png\"],paused:[s.Boolean,!1],snapshot:[s.Boolean,!1],timeout:[s.Number,0],value:[s.Any]}),this.override({height:240,width:320})}}i.VideoStream=l,l.__name__=\"VideoStream\",l.__module__=\"panel.models.widgets\",l.init_VideoStream()},\n      \"ecfbb965eb\": function _(e,o,l){Object.defineProperty(l,\"__esModule\",{value:!0});var V=e(\"5b5e56e89a\");l.VTKPlot=V.VTKPlot;var t=e(\"729dd26c71\");l.VTKVolumePlot=t.VTKVolumePlot;var K=e(\"e23461e5d7\");l.VTKAxes=K.VTKAxes},\n      \"5b5e56e89a\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/core/dom\"),a=e(\"c704c63c0a\"),o=e(\"aaf560d219\");class r extends a.AbstractVTKView{constructor(){super(...arguments),this._axes_initialized=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.axes.change,()=>{this._delete_axes(),this.model.axes&&this._set_axes(),this._vtk_renwin.getRenderWindow().render()}),this.el.addEventListener(\"mouseenter\",()=>{const e=this._vtk_renwin.getInteractor();this.model.enable_keybindings&&(document.querySelector(\"body\").addEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").addEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").addEventListener(\"keyup\",e.handleKeyUp))}),this.el.addEventListener(\"mouseleave\",()=>{const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)})}render(){super.render(),this._axes=null,this._axes_initialized=!1,this._plot()}after_layout(){this._axes_initialized||(this._render_axes_canvas(),this._axes_initialized=!0)}_render_axes_canvas(){const e=this._vtk_container.getElementsByTagName(\"canvas\");if(1!=e.length)throw Error(\"Error at initialization of the 3D scene, container should have one and only one canvas\");e[0].classList.add(\"scene3d-canvas\");const t=i.canvas({style:{position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"}});t.classList.add(\"axes-canvas\"),this._vtk_container.appendChild(t),this._vtk_renwin.setResizeCallback(()=>{const e=this._vtk_container.getBoundingClientRect(),n=Math.floor(e.width*window.devicePixelRatio),s=Math.floor(e.height*window.devicePixelRatio);t.setAttribute(\"width\",n.toFixed()),t.setAttribute(\"height\",s.toFixed())})}_delete_axes(){if(null==this._axes)return;Object.keys(this._axes).forEach(e=>this._vtk_renwin.getRenderer().removeActor(this._axes[e]));const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],t=e.getContext(\"2d\");t&&t.clearRect(0,0,e.clientWidth*window.devicePixelRatio,e.clientHeight*window.devicePixelRatio),this._axes=null}_set_axes(){if(this.model.axes){const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],{psActor:t,axesActor:n,gridActor:s}=this.model.axes.create_axes(e);this._axes={psActor:t,axesActor:n,gridActor:s},this._vtk_renwin.getRenderer().addActor(t),this._vtk_renwin.getRenderer().addActor(n),this._vtk_renwin.getRenderer().addActor(s)}}_plot(){if(!this.model.data)return void this._vtk_renwin.getRenderWindow().render();const e=o.vtkns.DataAccessHelper.get(\"zip\",{zipContent:atob(this.model.data),callback:t=>{const n=o.vtkns.HttpSceneLoader.newInstance({renderer:this._vtk_renwin.getRenderer(),dataAccessHelper:e}),s=o.vtk.macro.debounce(()=>{null==this._axes&&this.model.axes&&this._set_axes(),this.model.properties.camera.change.emit()},100);n.setUrl(\"index.json\"),n.onReady(s)}})}}n.VTKPlotView=r,r.__name__=\"VTKPlotView\";class d extends a.AbstractVTKPlot{constructor(e){super(e),this.outline=o.vtkns.OutlineFilter.newInstance();const t=o.vtkns.Mapper.newInstance();t.setInputConnection(this.outline.getOutputPort()),this.outline_actor=o.vtkns.Actor.newInstance(),this.outline_actor.setMapper(t)}static init_VTKPlot(){this.prototype.default_view=r,this.define({data:[s.String],axes:[s.Instance],enable_keybindings:[s.Boolean,!1]})}}n.VTKPlot=d,d.__name__=\"VTKPlot\",d.init_VTKPlot()},\n      \"c704c63c0a\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"@bokehjs/core/dom\"),s=e(\"@bokehjs/core/util/object\"),a=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"7116a7a602\"),_=e(\"aaf560d219\");class d extends o.PanelHTMLBoxView{constructor(){super(...arguments),this._setting_camera=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>{this.invalidate_render()}),this.connect(this.model.properties.orientation_widget.change,()=>{this._orientation_widget_visibility(this.model.orientation_widget)}),this.connect(this.model.properties.camera.change,()=>this._set_camera_state())}_orientation_widget_visibility(e){this._orientationWidget.setEnabled(e),e?this._widgetManager.enablePicking():this._widgetManager.disablePicking(),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderWindow().render()}_create_orientation_widget(){const e=_.vtkns.AxesActor.newInstance(),t=_.vtkns.OrientationMarkerWidget.newInstance({actor:e,interactor:this._vtk_renwin.getInteractor()});t.setEnabled(!0),t.setViewportCorner(_.vtkns.OrientationMarkerWidget.Corners.BOTTOM_RIGHT),t.setViewportSize(.15),t.setMinPixelSize(100),t.setMaxPixelSize(300),this._orientationWidget=t;const i=_.vtkns.WidgetManager.newInstance();i.setRenderer(t.getRenderer());const n=_.vtkns.InteractiveOrientationWidget.newInstance();n.placeWidget(e.getBounds()),n.setBounds(e.getBounds()),n.setPlaceFactor(1);const r=i.addWidget(n);this._widgetManager=i,r.onOrientationChange(({direction:e})=>{const t=this._vtk_renwin.getRenderer().getActiveCamera(),i=t.getFocalPoint(),n=t.getPosition(),r=t.getViewUp(),s=Math.sqrt(Math.pow(n[0]-i[0],2)+Math.pow(n[1]-i[1],2)+Math.pow(n[2]-i[2],2));t.setPosition(i[0]+e[0]*s,i[1]+e[1]*s,i[2]+e[2]*s),e[0]&&t.setViewUp(_.majorAxis(r,1,2)),e[1]&&t.setViewUp(_.majorAxis(r,0,2)),e[2]&&t.setViewUp(_.majorAxis(r,0,1)),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}),this._orientation_widget_visibility(this.model.orientation_widget)}_get_camera_state(){if(!this._setting_camera){this._setting_camera=!0;const e=s.clone(this._vtk_renwin.getRenderer().getActiveCamera().get());delete e.classHierarchy,delete e.vtkObject,delete e.vtkCamera,delete e.viewPlaneNormal,this.model.camera=e,this._setting_camera=!1}}_set_camera_state(){if(!this._setting_camera){this._setting_camera=!0;try{this.model.camera&&this._vtk_renwin.getRenderer().getActiveCamera().set(this.model.camera)}finally{this._setting_camera=!1}this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}}render(){super.render(),this._orientationWidget=null,this._vtk_container=r.div(),o.set_size(this._vtk_container,this.model),this.el.appendChild(this._vtk_container),this._vtk_renwin=_.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container}),this._remove_default_key_binding(),this._create_orientation_widget(),this._vtk_renwin.getRenderer().getActiveCamera().onModified(()=>this._get_camera_state()),this._set_camera_state(),this.model.renderer_el=this._vtk_renwin}after_layout(){super.after_layout(),this._vtk_renwin.resize()}_remove_default_key_binding(){const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}}i.AbstractVTKView=d,d.__name__=\"AbstractVTKView\";class c extends a.HTMLBox{constructor(e){super(e)}getActors(){return this.renderer_el.getRenderer().getActors()}static init_AbstractVTKPlot(){this.define({orientation_widget:[n.Boolean,!1],camera:[n.Instance]}),this.override({height:300,width:300})}}i.AbstractVTKPlot=c,c.__name__=\"AbstractVTKPlot\",c.__module__=\"panel.models.vtk\",c.init_AbstractVTKPlot()},\n      \"aaf560d219\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"@bokehjs/core/util/array\");function a(t){const e=Math.min(Math.max(Math.round(t),0),255).toString(16);return 2==e.length?e:\"0\"+e}function o(t,e,n){return\"#\"+a(t)+a(e)+a(n)}function i(t){for(var e=new ArrayBuffer(t.length),n=new Uint8Array(e),r=0,a=t.length;r<a;r++)n[r]=t.charCodeAt(r);return e}n.ARRAY_TYPES={uint8:Uint8Array,int8:Int8Array,uint16:Uint16Array,int16:Int16Array,uint32:Uint32Array,int32:Int32Array,float32:Float32Array,float64:Float64Array},n.vtk=window.vtk,n.vtkns={},n.vtk&&(n.vtkns.DataArray=n.vtk.Common.Core.vtkDataArray,n.vtkns.ImageData=n.vtk.Common.DataModel.vtkImageData,n.vtkns.OutlineFilter=n.vtk.Filters.General.vtkOutlineFilter,n.vtkns.CubeSource=n.vtk.Filters.Sources.vtkCubeSource,n.vtkns.LineSource=n.vtk.Filters.Sources.vtkLineSource,n.vtkns.PlaneSource=n.vtk.Filters.Sources.vtkPlaneSource,n.vtkns.PointSource=n.vtk.Filters.Sources.vtkPointSource,n.vtkns.OrientationMarkerWidget=n.vtk.Interaction.Widgets.vtkOrientationMarkerWidget,n.vtkns.DataAccessHelper=n.vtk.IO.Core.DataAccessHelper,n.vtkns.HttpSceneLoader=n.vtk.IO.Core.vtkHttpSceneLoader,n.vtkns.ImageSlice=n.vtk.Rendering.Core.vtkImageSlice,n.vtkns.Actor=n.vtk.Rendering.Core.vtkActor,n.vtkns.AxesActor=n.vtk.Rendering.Core.vtkAxesActor,n.vtkns.Mapper=n.vtk.Rendering.Core.vtkMapper,n.vtkns.ImageMapper=n.vtk.Rendering.Core.vtkImageMapper,n.vtkns.SphereMapper=n.vtk.Rendering.Core.vtkSphereMapper,n.vtkns.WidgetManager=n.vtk.Widgets.Core.vtkWidgetManager,n.vtkns.InteractiveOrientationWidget=n.vtk.Widgets.Widgets3D.vtkInteractiveOrientationWidget,n.vtkns.PixelSpaceCallbackMapper=n.vtk.Rendering.Core.vtkPixelSpaceCallbackMapper,n.vtkns.FullScreenRenderWindow=n.vtk.Rendering.Misc.vtkFullScreenRenderWindow,n.vtkns.VolumeController=n.vtk.Interaction.UI.vtkVolumeController,n.vtkns.Volume=n.vtk.Rendering.Core.vtkVolume,n.vtkns.VolumeMapper=n.vtk.Rendering.Core.vtkVolumeMapper,n.vtkns.ColorTransferFunction=n.vtk.Rendering.Core.vtkColorTransferFunction,n.vtkns.PiecewiseFunction=n.vtk.Common.DataModel.vtkPiecewiseFunction,n.vtkns.BoundingBox=n.vtk.Common.DataModel.vtkBoundingBox),n.hexToRGB=function(t){return[parseInt(t.slice(1,3),16)/255,parseInt(t.slice(3,5),16)/255,parseInt(t.slice(5,7),16)/255]},n.rgbToHex=o,n.vtkLutToMapper=function(t){const{scale:e,nodes:a}=t.get(\"scale\",\"nodes\");if(e!==n.vtkns.ColorTransferFunction.Scale.LINEAR)throw\"Error transfer function scale not handle\";const i=a.map(t=>t.x),s=Math.min(...i),k=Math.max(...i),v=r.linspace(s,k,255),c=[0,0,0];return{low:s,high:k,palette:v.map(e=>(t.getColor(e,c),o(255*c[0],255*c[1],255*c[2])))}},n.data2VTKImageData=function(t){const e=n.vtkns.ImageData.newInstance({spacing:t.spacing});e.setDimensions(t.dims),e.setOrigin(null!=t.origin?t.origin:t.dims.map(t=>t/2));const r=n.vtkns.DataArray.newInstance({name:\"scalars\",numberOfComponents:1,values:new n.ARRAY_TYPES[t.dtype](i(atob(t.buffer)))});return e.getPointData().setScalars(r),e},n.majorAxis=function(t,e,n){const r=[0,0,0],a=Math.abs(t[e])>Math.abs(t[n])?e:n,o=t[a]>0?1:-1;return r[a]=o,r},n.cartesian_product=function(...t){return t.reduce((t,e)=>t.flatMap(t=>e.map(e=>[].concat(t,e))))}},\n      \"729dd26c71\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"c704c63c0a\"),n=e(\"aaf560d219\");class o extends r.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.colormap.change,()=>{this.colormap_slector.value=this.model.colormap;const e=new Event(\"change\");this.colormap_slector.dispatchEvent(e)}),this.connect(this.model.properties.shadow.change,()=>{this.shadow_selector.value=this.model.shadow?\"1\":\"0\";const e=new Event(\"change\");this.shadow_selector.dispatchEvent(e)}),this.connect(this.model.properties.sampling.change,()=>{this.sampling_slider.value=this.model.sampling.toFixed(2);const e=new Event(\"input\");this.sampling_slider.dispatchEvent(e)}),this.connect(this.model.properties.edge_gradient.change,()=>{this.edge_gradient_slider.value=this.model.edge_gradient.toFixed(2);const e=new Event(\"input\");this.edge_gradient_slider.dispatchEvent(e)}),this.connect(this.model.properties.rescale.change,()=>{this._controllerWidget.setRescaleColorMap(this.model.rescale),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.ambient.change,()=>{this.volume.getProperty().setAmbient(this.model.ambient),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.diffuse.change,()=>{this.volume.getProperty().setDiffuse(this.model.diffuse),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular.change,()=>{this.volume.getProperty().setSpecular(this.model.specular),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular_power.change,()=>{this.volume.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_volume.change,()=>{this._set_volume_visibility(this.model.display_volume),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_slices.change,()=>{this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_i.change,()=>{this.image_actor_i.getMapper().setISlice(this.model.slice_i),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_j.change,()=>{this.image_actor_j.getMapper().setJSlice(this.model.slice_j),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_k.change,()=>{this.image_actor_k.getMapper().setKSlice(this.model.slice_k),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.render_background.change,()=>{this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.interpolation.change,()=>{this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderWindow().render()})}get volume(){return this._controllerWidget.getActor()}get image_actor_i(){return this._vtk_renwin.getRenderer().getActors()[0]}get image_actor_j(){return this._vtk_renwin.getRenderer().getActors()[1]}get image_actor_k(){return this._vtk_renwin.getRenderer().getActors()[2]}get shadow_selector(){return this.el.querySelector(\".js-shadow\")}get edge_gradient_slider(){return this.el.querySelector(\".js-edge\")}get sampling_slider(){return this.el.querySelector(\".js-spacing\")}get colormap_slector(){return this.el.querySelector(\".js-color-preset\")}_set_interpolation(e){\"fast_linear\"==e?(this.volume.getProperty().setInterpolationTypeToFastLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):\"linear\"==e?(this.volume.getProperty().setInterpolationTypeToLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):(this.volume.getProperty().setInterpolationTypeToNearest(),this.image_actor_i.getProperty().setInterpolationTypeToNearest())}render(){super.render(),this._controllerWidget=n.vtkns.VolumeController.newInstance({size:[400,150],rescaleColorMap:this.model.rescale}),this._vtk_image_data=n.data2VTKImageData(this.model.data),this._controllerWidget.setContainer(this.el),this._vtk_renwin.getRenderWindow().getInteractor(),this._vtk_renwin.getRenderWindow().getInteractor().setDesiredUpdateRate(45),this._plot_volume(),this._connect_controls(),this._plot_slices(),this._set_volume_visibility(this.model.display_volume),this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderer().resetCamera()}_connect_controls(){this.colormap_slector.addEventListener(\"change\",()=>{this.model.colormap=this.colormap_slector.value}),this.model.colormap?this.model.properties.colormap.change.emit():this.model.colormap=this.colormap_slector.value,this.shadow_selector.addEventListener(\"change\",()=>{this.model.shadow=!!Number(this.shadow_selector.value)}),(this.model.shadow=!!Number(this.shadow_selector.value))&&this.model.properties.shadow.change.emit(),this.sampling_slider.addEventListener(\"input\",()=>{const e=Number(this.sampling_slider.value);Math.abs(this.model.sampling-e)>=.005&&(this.model.sampling=e)}),Math.abs(this.model.sampling-Number(this.shadow_selector.value))>=.005&&this.model.properties.sampling.change.emit(),this.edge_gradient_slider.addEventListener(\"input\",()=>{const e=Number(this.edge_gradient_slider.value);Math.abs(this.model.edge_gradient-e)>=.005&&(this.model.edge_gradient=e)}),Math.abs(this.model.edge_gradient-Number(this.edge_gradient_slider.value))>=.005&&this.model.properties.edge_gradient.change.emit()}_plot_volume(){const e=this._vtk_image_data,t=n.vtkns.Volume.newInstance(),i=n.vtkns.VolumeMapper.newInstance();t.setMapper(i),i.setInputData(e);const s=(e.getPointData().getScalars()||e.getPointData().getArrays()[0]).getRange(),r=n.vtkns.ColorTransferFunction.newInstance();r.onModified(()=>this.model.mapper=n.vtkLutToMapper(r));const o=n.vtkns.PiecewiseFunction.newInstance(),a=.7*Math.sqrt(e.getSpacing().map(e=>e*e).reduce((e,t)=>e+t,0));i.setSampleDistance(a),t.getProperty().setRGBTransferFunction(0,r),t.getProperty().setScalarOpacity(0,o),t.getProperty().setInterpolationTypeToFastLinear(),t.getProperty().setScalarOpacityUnitDistance(0,n.vtkns.BoundingBox.getDiagonalLength(e.getBounds())/Math.max(...e.getDimensions())),t.getProperty().setGradientOpacityMinimumValue(0,0),t.getProperty().setGradientOpacityMaximumValue(0,.05*(s[1]-s[0])),t.getProperty().setShade(this.model.shadow),t.getProperty().setUseGradientOpacity(0,!0),t.getProperty().setGradientOpacityMinimumOpacity(0,0),t.getProperty().setGradientOpacityMaximumOpacity(0,1),t.getProperty().setAmbient(this.model.ambient),t.getProperty().setDiffuse(this.model.diffuse),t.getProperty().setSpecular(this.model.specular),t.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderer().addVolume(t),this._controllerWidget.setupContent(this._vtk_renwin.getRenderWindow(),t,!0)}_plot_slices(){const e=this._vtk_image_data,t=n.vtkns.ImageSlice.newInstance(),i=n.vtkns.ImageSlice.newInstance(),s=n.vtkns.ImageSlice.newInstance(),r=n.vtkns.ImageMapper.newInstance(),o=n.vtkns.ImageMapper.newInstance(),a=n.vtkns.ImageMapper.newInstance();r.setInputData(e),r.setISlice(this.model.slice_i),t.setMapper(r),o.setInputData(e),o.setJSlice(this.model.slice_j),i.setMapper(o),a.setInputData(e),a.setKSlice(this.model.slice_k),s.setMapper(a);const l=n.vtkns.PiecewiseFunction.newInstance();l.removeAllPoints(),l.addPoint(0,1);const c=this.volume.getProperty().getRGBTransferFunction(0),d=t.getProperty();i.setProperty(d),s.setProperty(d),d.setRGBTransferFunction(c),d.setScalarOpacity(l);const h=this._vtk_renwin.getRenderer();h.addActor(t),h.addActor(i),h.addActor(s)}_set_volume_visibility(e){this.volume.setVisibility(e)}_set_slices_visibility(e){this._vtk_renwin.getRenderer().getActors().map(t=>t.setVisibility(e))}}i.VTKVolumePlotView=o,o.__name__=\"VTKVolumePlotView\";class a extends r.AbstractVTKPlot{constructor(e){super(e)}static init_VTKVolumePlot(){this.prototype.default_view=o,this.define({data:[s.Instance],shadow:[s.Boolean,!0],sampling:[s.Number,.4],edge_gradient:[s.Number,.2],colormap:[s.String],rescale:[s.Boolean,!1],ambient:[s.Number,.2],diffuse:[s.Number,.7],specular:[s.Number,.3],specular_power:[s.Number,8],slice_i:[s.Int,0],slice_j:[s.Int,0],slice_k:[s.Int,0],display_volume:[s.Boolean,!0],display_slices:[s.Boolean,!1],render_background:[s.String,\"#52576e\"],interpolation:[s.Any,\"fast_linear\"],mapper:[s.Instance]})}}i.VTKVolumePlot=a,a.__name__=\"VTKVolumePlot\",a.init_VTKVolumePlot()},\n      \"e23461e5d7\": function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(\"tslib\"),n=t(\"2f3fd5db07\"),a=t(\"@bokehjs/model\"),c=e.__importStar(t(\"@bokehjs/core/properties\")),r=t(\"aaf560d219\");class h extends a.Model{constructor(t){super(t)}static init_VTKAxes(){this.define({origin:[c.Array],xticker:[c.Instance],yticker:[c.Instance],zticker:[c.Instance],digits:[c.Number,1],show_grid:[c.Boolean,!0],grid_opacity:[c.Number,.1],axes_opacity:[c.Number,1],fontsize:[c.Number,12]})}get xticks(){return this.xticker.ticks}get yticks(){return this.yticker.ticks}get zticks(){return this.zticker.ticks}get xlabels(){return this.xticker.labels?this.xticker.labels:this.xticks.map(t=>t.toFixed(this.digits))}get ylabels(){return this.yticker.labels?this.yticker.labels:this.yticks.map(t=>t.toFixed(this.digits))}get zlabels(){return this.zticker.labels?this.zticker.labels:this.zticks.map(t=>t.toFixed(this.digits))}_make_grid_lines(t,s,i){const e=[];for(let n=0;n<t-1;n++)for(let t=0;t<s-1;t++){const a=n*s+t+i,c=[5,a,n*s+t+1+i,(n+1)*s+t+1+i,(n+1)*s+t+i,a];e.push(c)}return e}_create_grid_axes(){const t=[];t.push(r.cartesian_product(this.xticks,this.yticks,[this.origin[2]])),t.push(r.cartesian_product([this.origin[0]],this.yticks,this.zticks)),t.push(r.cartesian_product(this.xticks,[this.origin[1]],this.zticks));const s=[];let i=0;s.push(this._make_grid_lines(this.xticks.length,this.yticks.length,i)),i+=this.xticks.length*this.yticks.length,s.push(this._make_grid_lines(this.yticks.length,this.zticks.length,i)),i+=this.yticks.length*this.zticks.length,s.push(this._make_grid_lines(this.xticks.length,this.zticks.length,i));const e=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:t.flat(2)},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:s.flat(2)}}),n=r.vtkns.Mapper.newInstance(),a=r.vtkns.Actor.newInstance();return n.setInputData(e),a.setMapper(n),a.getProperty().setOpacity(this.grid_opacity),a.setVisibility(this.show_grid),a}create_axes(t){const s=[this.xticks,this.yticks,this.zticks].map((t,s)=>{let i=null;switch(s){case 0:i=r.cartesian_product(t,[this.origin[1]],[this.origin[2]]);break;case 1:i=r.cartesian_product([this.origin[0]],t,[this.origin[2]]);break;case 2:i=r.cartesian_product([this.origin[0]],[this.origin[1]],t)}return i}).flat(2),i=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:s},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:[2,0,this.xticks.length-1,2,this.xticks.length,this.xticks.length+this.yticks.length-1,2,this.xticks.length+this.yticks.length,this.xticks.length+this.yticks.length+this.zticks.length-1]}}),e=r.vtkns.PixelSpaceCallbackMapper.newInstance();e.setInputData(i),e.setUseZValues(!0),e.setCallback((s,i,a)=>{const c=t.getContext(\"2d\");if(c){const r={height:t.clientHeight*window.devicePixelRatio,width:t.clientWidth*window.devicePixelRatio},h=e.getInputData().getPoints(),l=i.getViewMatrix();n.mat4.transpose(l,l);const o=i.getProjectionMatrix(a,-1,1);n.mat4.transpose(o,o),c.clearRect(0,0,r.width,r.height),s.forEach((t,s)=>{const i=h.getPoint(s),e=n.vec3.fromValues(i[0],i[1],i[2]);if(n.vec3.transformMat4(e,e,l),e[2]+=.05,n.vec3.transformMat4(e,e,o),e[2]-.001<t[3]){let i;c.font=\"30px serif\",c.textAlign=\"center\",c.textBaseline=\"alphabetic\",c.fillText(\".\",t[0],r.height-t[1]+2),c.font=this.fontsize*window.devicePixelRatio+\"px serif\",c.textAlign=\"right\",c.textBaseline=\"top\",i=s<this.xticks.length?this.xlabels[s]:s>=this.xticks.length&&s<this.xticks.length+this.yticks.length?this.ylabels[s-this.xticks.length]:this.zlabels[s-(this.xticks.length+this.yticks.length)],c.fillText(\"\"+i,t[0],r.height-t[1])}})}});const a=r.vtkns.Actor.newInstance();a.setMapper(e);const c=r.vtkns.Mapper.newInstance();c.setInputData(i);const h=r.vtkns.Actor.newInstance();return h.setMapper(c),h.getProperty().setOpacity(this.axes_opacity),{psActor:a,axesActor:h,gridActor:this._create_grid_axes()}}}i.VTKAxes=h,h.__name__=\"VTKAxes\",h.__module__=\"panel.models.vtk\",h.init_VTKAxes()},\n      \"2f3fd5db07\": function _(t,c,a){Object.defineProperty(a,\"__esModule\",{value:!0});const o=t(\"tslib\"),r=o.__importStar(t(\"68ca94c15c\"));a.glMatrix=r;const _=o.__importStar(t(\"7c0b8e6048\"));a.mat2=_;const e=o.__importStar(t(\"dc03f0a621\"));a.mat2d=e;const i=o.__importStar(t(\"0285c50a7e\"));a.mat3=i;const m=o.__importStar(t(\"a427635f32\"));a.mat4=m;const n=o.__importStar(t(\"eb06fc032a\"));a.quat=n;const s=o.__importStar(t(\"277615c682\"));a.quat2=s;const p=o.__importStar(t(\"c56d9ff837\"));a.vec2=p;const S=o.__importStar(t(\"2c5eb22089\"));a.vec3=S;const f=o.__importStar(t(\"c1aa33d719\"));a.vec4=f},\n      \"68ca94c15c\": function _(t,a,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.EPSILON=1e-6,r.ARRAY_TYPE=\"undefined\"!=typeof 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t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t},r.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t},r.fromValues=function(t,n,r,u){var e=new a.ARRAY_TYPE(4);return e[0]=t,e[1]=n,e[2]=r,e[3]=u,e},r.set=function(t,n,r,a,u){return t[0]=n,t[1]=r,t[2]=a,t[3]=u,t},r.transpose=function(t,n){if(t===n){var r=n[1];t[1]=n[2],t[2]=r}else t[0]=n[0],t[1]=n[2],t[2]=n[1],t[3]=n[3];return t},r.invert=function(t,n){var r=n[0],a=n[1],u=n[2],e=n[3],o=r*e-u*a;return o?(o=1/o,t[0]=e*o,t[1]=-a*o,t[2]=-u*o,t[3]=r*o,t):null},r.adjoint=function(t,n){var r=n[0];return t[0]=n[3],t[1]=-n[1],t[2]=-n[2],t[3]=r,t},r.determinant=function(t){return t[0]*t[3]-t[2]*t[1]},r.multiply=u,r.rotate=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=Math.sin(r),i=Math.cos(r);return t[0]=a*i+e*c,t[1]=u*i+o*c,t[2]=a*-c+e*i,t[3]=u*-c+o*i,t},r.scale=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1];return t[0]=a*c,t[1]=u*c,t[2]=e*i,t[3]=o*i,t},r.fromRotation=function(t,n){var r=Math.sin(n),a=Math.cos(n);return 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t[0]=f*r+b*e+l*s,t[1]=f*u+b*i+l*M,t[2]=f*o+b*c+l*h,t[3]=m*r+v*e+E*s,t[4]=m*u+v*i+E*M,t[5]=m*o+v*c+E*h,t[6]=P*r+S*e+d*s,t[7]=P*u+S*i+d*M,t[8]=P*o+S*c+d*h,t}function o(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t}n.create=function(){var t=new r.ARRAY_TYPE(9);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},n.fromMat4=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[4],t[4]=a[5],t[5]=a[6],t[6]=a[8],t[7]=a[9],t[8]=a[10],t},n.clone=function(t){var a=new r.ARRAY_TYPE(9);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromValues=function(t,a,n,u,o,e,i,c,s){var M=new r.ARRAY_TYPE(9);return M[0]=t,M[1]=a,M[2]=n,M[3]=u,M[4]=o,M[5]=e,M[6]=i,M[7]=c,M[8]=s,M},n.set=function(t,a,n,r,u,o,e,i,c,s){return t[0]=a,t[1]=n,t[2]=r,t[3]=u,t[4]=o,t[5]=e,t[6]=i,t[7]=c,t[8]=s,t},n.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],u=a[5];t[1]=a[3],t[2]=a[6],t[3]=n,t[5]=a[7],t[6]=r,t[7]=u}else t[0]=a[0],t[1]=a[3],t[2]=a[6],t[3]=a[1],t[4]=a[4],t[5]=a[7],t[6]=a[2],t[7]=a[5],t[8]=a[8];return t},n.invert=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=M*e-i*s,f=-M*o+i*c,b=s*o-e*c,l=n*h+r*f+u*b;return l?(l=1/l,t[0]=h*l,t[1]=(-M*r+u*s)*l,t[2]=(i*r-u*e)*l,t[3]=f*l,t[4]=(M*n-u*c)*l,t[5]=(-i*n+u*o)*l,t[6]=b*l,t[7]=(-s*n+r*c)*l,t[8]=(e*n-r*o)*l,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8];return t[0]=e*M-i*s,t[1]=u*s-r*M,t[2]=r*i-u*e,t[3]=i*c-o*M,t[4]=n*M-u*c,t[5]=u*o-n*i,t[6]=o*s-e*c,t[7]=r*c-n*s,t[8]=n*e-r*o,t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],u=t[3],o=t[4],e=t[5],i=t[6],c=t[7],s=t[8];return a*(s*o-e*c)+n*(-s*u+e*i)+r*(c*u-o*i)},n.multiply=u,n.translate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1];return t[0]=r,t[1]=u,t[2]=o,t[3]=e,t[4]=i,t[5]=c,t[6]=f*r+b*e+s,t[7]=f*u+b*i+M,t[8]=f*o+b*c+h,t},n.rotate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=Math.sin(n),b=Math.cos(n);return t[0]=b*r+f*e,t[1]=b*u+f*i,t[2]=b*o+f*c,t[3]=b*e-f*r,t[4]=b*i-f*u,t[5]=b*c-f*o,t[6]=s,t[7]=M,t[8]=h,t},n.scale=function(t,a,n){var r=n[0],u=n[1];return t[0]=r*a[0],t[1]=r*a[1],t[2]=r*a[2],t[3]=u*a[3],t[4]=u*a[4],t[5]=u*a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=a[0],t[7]=a[1],t[8]=1,t},n.fromRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=-n,t[4]=r,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=a[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromMat2d=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=0,t[3]=a[2],t[4]=a[3],t[5]=0,t[6]=a[4],t[7]=a[5],t[8]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=n+n,i=r+r,c=u+u,s=n*e,M=r*e,h=r*i,f=u*e,b=u*i,l=u*c,m=o*e,v=o*i,E=o*c;return t[0]=1-h-l,t[3]=M-E,t[6]=f+v,t[1]=M+E,t[4]=1-s-l,t[7]=b-m,t[2]=f-v,t[5]=b+m,t[8]=1-s-h,t},n.normalFromMat4=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],E=a[15],P=n*i-r*e,S=n*c-u*e,d=n*s-o*e,A=r*c-u*i,x=r*s-o*i,O=u*s-o*c,p=M*m-h*l,I=M*v-f*l,L=M*E-b*l,N=h*v-f*m,R=h*E-b*m,_=f*E-b*v,y=P*_-S*R+d*N+A*L-x*I+O*p;return y?(y=1/y,t[0]=(i*_-c*R+s*N)*y,t[1]=(c*L-e*_-s*I)*y,t[2]=(e*R-i*L+s*p)*y,t[3]=(u*R-r*_-o*N)*y,t[4]=(n*_-u*L+o*I)*y,t[5]=(r*L-n*R-o*p)*y,t[6]=(m*O-v*x+E*A)*y,t[7]=(v*d-l*O-E*S)*y,t[8]=(l*x-m*d+E*P)*y,t):null},n.projection=function(t,a,n){return t[0]=2/a,t[1]=0,t[2]=0,t[3]=0,t[4]=-2/n,t[5]=0,t[6]=-1,t[7]=1,t[8]=1,t},n.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t},n.subtract=o,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]},n.equals=function(t,a){var n=t[0],u=t[1],o=t[2],e=t[3],i=t[4],c=t[5],s=t[6],M=t[7],h=t[8],f=a[0],b=a[1],l=a[2],m=a[3],v=a[4],E=a[5],P=a[6],S=a[7],d=a[8];return Math.abs(n-f)<=r.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(u-b)<=r.EPSILON*Math.max(1,Math.abs(u),Math.abs(b))&&Math.abs(o-l)<=r.EPSILON*Math.max(1,Math.abs(o),Math.abs(l))&&Math.abs(e-m)<=r.EPSILON*Math.max(1,Math.abs(e),Math.abs(m))&&Math.abs(i-v)<=r.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(c-E)<=r.EPSILON*Math.max(1,Math.abs(c),Math.abs(E))&&Math.abs(s-P)<=r.EPSILON*Math.max(1,Math.abs(s),Math.abs(P))&&Math.abs(M-S)<=r.EPSILON*Math.max(1,Math.abs(M),Math.abs(S))&&Math.abs(h-d)<=r.EPSILON*Math.max(1,Math.abs(h),Math.abs(d))},n.mul=u,n.sub=o},\n      \"a427635f32\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function h(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function o(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],v=a[12],m=a[13],P=a[14],E=a[15],S=n[0],I=n[1],O=n[2],p=n[3];return t[0]=S*r+I*M+O*c+p*v,t[1]=S*h+I*e+O*f+p*m,t[2]=S*o+I*s+O*b+p*P,t[3]=S*u+I*i+O*l+p*E,S=n[4],I=n[5],O=n[6],p=n[7],t[4]=S*r+I*M+O*c+p*v,t[5]=S*h+I*e+O*f+p*m,t[6]=S*o+I*s+O*b+p*P,t[7]=S*u+I*i+O*l+p*E,S=n[8],I=n[9],O=n[10],p=n[11],t[8]=S*r+I*M+O*c+p*v,t[9]=S*h+I*e+O*f+p*m,t[10]=S*o+I*s+O*b+p*P,t[11]=S*u+I*i+O*l+p*E,S=n[12],I=n[13],O=n[14],p=n[15],t[12]=S*r+I*M+O*c+p*v,t[13]=S*h+I*e+O*f+p*m,t[14]=S*o+I*s+O*b+p*P,t[15]=S*u+I*i+O*l+p*E,t}function u(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=r+r,e=h+h,s=o+o,i=r*M,c=r*e,f=r*s,b=h*e,l=h*s,v=o*s,m=u*M,P=u*e,E=u*s;return t[0]=1-(b+v),t[1]=c+E,t[2]=f-P,t[3]=0,t[4]=c-E,t[5]=1-(i+v),t[6]=l+m,t[7]=0,t[8]=f+P,t[9]=l-m,t[10]=1-(i+b),t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t}function M(t,a){var n=a[0],r=a[1],h=a[2],o=a[4],u=a[5],M=a[6],e=a[8],s=a[9],i=a[10];return t[0]=Math.hypot(n,r,h),t[1]=Math.hypot(o,u,M),t[2]=Math.hypot(e,s,i),t}function e(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t[9]=a[9]-n[9],t[10]=a[10]-n[10],t[11]=a[11]-n[11],t[12]=a[12]-n[12],t[13]=a[13]-n[13],t[14]=a[14]-n[14],t[15]=a[15]-n[15],t}n.create=function(){var t=new r.ARRAY_TYPE(16);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},n.clone=function(t){var a=new r.ARRAY_TYPE(16);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a[9]=t[9],a[10]=t[10],a[11]=t[11],a[12]=t[12],a[13]=t[13],a[14]=t[14],a[15]=t[15],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.fromValues=function(t,a,n,h,o,u,M,e,s,i,c,f,b,l,v,m){var P=new r.ARRAY_TYPE(16);return P[0]=t,P[1]=a,P[2]=n,P[3]=h,P[4]=o,P[5]=u,P[6]=M,P[7]=e,P[8]=s,P[9]=i,P[10]=c,P[11]=f,P[12]=b,P[13]=l,P[14]=v,P[15]=m,P},n.set=function(t,a,n,r,h,o,u,M,e,s,i,c,f,b,l,v,m){return t[0]=a,t[1]=n,t[2]=r,t[3]=h,t[4]=o,t[5]=u,t[6]=M,t[7]=e,t[8]=s,t[9]=i,t[10]=c,t[11]=f,t[12]=b,t[13]=l,t[14]=v,t[15]=m,t},n.identity=h,n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],h=a[3],o=a[6],u=a[7],M=a[11];t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=n,t[6]=a[9],t[7]=a[13],t[8]=r,t[9]=o,t[11]=a[14],t[12]=h,t[13]=u,t[14]=M}else t[0]=a[0],t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=a[1],t[5]=a[5],t[6]=a[9],t[7]=a[13],t[8]=a[2],t[9]=a[6],t[10]=a[10],t[11]=a[14],t[12]=a[3],t[13]=a[7],t[14]=a[11],t[15]=a[15];return t},n.invert=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15],E=n*M-r*u,S=n*e-h*u,I=n*s-o*u,O=r*e-h*M,p=r*s-o*M,L=h*s-o*e,N=i*v-c*l,R=i*m-f*l,x=i*P-b*l,y=c*m-f*v,A=c*P-b*v,Y=f*P-b*m,d=E*Y-S*A+I*y+O*x-p*R+L*N;return d?(d=1/d,t[0]=(M*Y-e*A+s*y)*d,t[1]=(h*A-r*Y-o*y)*d,t[2]=(v*L-m*p+P*O)*d,t[3]=(f*p-c*L-b*O)*d,t[4]=(e*x-u*Y-s*R)*d,t[5]=(n*Y-h*x+o*R)*d,t[6]=(m*I-l*L-P*S)*d,t[7]=(i*L-f*I+b*S)*d,t[8]=(u*A-M*x+s*N)*d,t[9]=(r*x-n*A-o*N)*d,t[10]=(l*p-v*I+P*E)*d,t[11]=(c*I-i*p-b*E)*d,t[12]=(M*R-u*y-e*N)*d,t[13]=(n*y-r*R+h*N)*d,t[14]=(v*S-l*O-m*E)*d,t[15]=(i*O-c*S+f*E)*d,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15];return t[0]=M*(f*P-b*m)-c*(e*P-s*m)+v*(e*b-s*f),t[1]=-(r*(f*P-b*m)-c*(h*P-o*m)+v*(h*b-o*f)),t[2]=r*(e*P-s*m)-M*(h*P-o*m)+v*(h*s-o*e),t[3]=-(r*(e*b-s*f)-M*(h*b-o*f)+c*(h*s-o*e)),t[4]=-(u*(f*P-b*m)-i*(e*P-s*m)+l*(e*b-s*f)),t[5]=n*(f*P-b*m)-i*(h*P-o*m)+l*(h*b-o*f),t[6]=-(n*(e*P-s*m)-u*(h*P-o*m)+l*(h*s-o*e)),t[7]=n*(e*b-s*f)-u*(h*b-o*f)+i*(h*s-o*e),t[8]=u*(c*P-b*v)-i*(M*P-s*v)+l*(M*b-s*c),t[9]=-(n*(c*P-b*v)-i*(r*P-o*v)+l*(r*b-o*c)),t[10]=n*(M*P-s*v)-u*(r*P-o*v)+l*(r*s-o*M),t[11]=-(n*(M*b-s*c)-u*(r*b-o*c)+i*(r*s-o*M)),t[12]=-(u*(c*m-f*v)-i*(M*m-e*v)+l*(M*f-e*c)),t[13]=n*(c*m-f*v)-i*(r*m-h*v)+l*(r*f-h*c),t[14]=-(n*(M*m-e*v)-u*(r*m-h*v)+l*(r*e-h*M)),t[15]=n*(M*f-e*c)-u*(r*f-h*c)+i*(r*e-h*M),t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],h=t[3],o=t[4],u=t[5],M=t[6],e=t[7],s=t[8],i=t[9],c=t[10],f=t[11],b=t[12],l=t[13],v=t[14],m=t[15];return(a*u-n*o)*(c*m-f*v)-(a*M-r*o)*(i*m-f*l)+(a*e-h*o)*(i*v-c*l)+(n*M-r*u)*(s*m-f*b)-(n*e-h*u)*(s*v-c*b)+(r*e-h*M)*(s*l-i*b)},n.multiply=o,n.translate=function(t,a,n){var r,h,o,u,M,e,s,i,c,f,b,l,v=n[0],m=n[1],P=n[2];return a===t?(t[12]=a[0]*v+a[4]*m+a[8]*P+a[12],t[13]=a[1]*v+a[5]*m+a[9]*P+a[13],t[14]=a[2]*v+a[6]*m+a[10]*P+a[14],t[15]=a[3]*v+a[7]*m+a[11]*P+a[15]):(r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],t[0]=r,t[1]=h,t[2]=o,t[3]=u,t[4]=M,t[5]=e,t[6]=s,t[7]=i,t[8]=c,t[9]=f,t[10]=b,t[11]=l,t[12]=r*v+M*m+c*P+a[12],t[13]=h*v+e*m+f*P+a[13],t[14]=o*v+s*m+b*P+a[14],t[15]=u*v+i*m+l*P+a[15]),t},n.scale=function(t,a,n){var r=n[0],h=n[1],o=n[2];return t[0]=a[0]*r,t[1]=a[1]*r,t[2]=a[2]*r,t[3]=a[3]*r,t[4]=a[4]*h,t[5]=a[5]*h,t[6]=a[6]*h,t[7]=a[7]*h,t[8]=a[8]*o,t[9]=a[9]*o,t[10]=a[10]*o,t[11]=a[11]*o,t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.rotate=function(t,a,n,h){var o,u,M,e,s,i,c,f,b,l,v,m,P,E,S,I,O,p,L,N,R,x,y,A,Y=h[0],d=h[1],g=h[2],T=Math.hypot(Y,d,g);return T<r.EPSILON?null:(Y*=T=1/T,d*=T,g*=T,o=Math.sin(n),M=1-(u=Math.cos(n)),e=a[0],s=a[1],i=a[2],c=a[3],f=a[4],b=a[5],l=a[6],v=a[7],m=a[8],P=a[9],E=a[10],S=a[11],I=Y*Y*M+u,O=d*Y*M+g*o,p=g*Y*M-d*o,L=Y*d*M-g*o,N=d*d*M+u,R=g*d*M+Y*o,x=Y*g*M+d*o,y=d*g*M-Y*o,A=g*g*M+u,t[0]=e*I+f*O+m*p,t[1]=s*I+b*O+P*p,t[2]=i*I+l*O+E*p,t[3]=c*I+v*O+S*p,t[4]=e*L+f*N+m*R,t[5]=s*L+b*N+P*R,t[6]=i*L+l*N+E*R,t[7]=c*L+v*N+S*R,t[8]=e*x+f*y+m*A,t[9]=s*x+b*y+P*A,t[10]=i*x+l*y+E*A,t[11]=c*x+v*y+S*A,a!==t&&(t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t)},n.rotateX=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[4],u=a[5],M=a[6],e=a[7],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[4]=o*h+s*r,t[5]=u*h+i*r,t[6]=M*h+c*r,t[7]=e*h+f*r,t[8]=s*h-o*r,t[9]=i*h-u*r,t[10]=c*h-M*r,t[11]=f*h-e*r,t},n.rotateY=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h-s*r,t[1]=u*h-i*r,t[2]=M*h-c*r,t[3]=e*h-f*r,t[8]=o*r+s*h,t[9]=u*r+i*h,t[10]=M*r+c*h,t[11]=e*r+f*h,t},n.rotateZ=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7];return a!==t&&(t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h+s*r,t[1]=u*h+i*r,t[2]=M*h+c*r,t[3]=e*h+f*r,t[4]=s*h-o*r,t[5]=i*h-u*r,t[6]=c*h-M*r,t[7]=f*h-e*r,t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=a[0],t[13]=a[1],t[14]=a[2],t[15]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=a[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotation=function(t,a,n){var h,o,u,M=n[0],e=n[1],s=n[2],i=Math.hypot(M,e,s);return i<r.EPSILON?null:(M*=i=1/i,e*=i,s*=i,h=Math.sin(a),u=1-(o=Math.cos(a)),t[0]=M*M*u+o,t[1]=e*M*u+s*h,t[2]=s*M*u-e*h,t[3]=0,t[4]=M*e*u-s*h,t[5]=e*e*u+o,t[6]=s*e*u+M*h,t[7]=0,t[8]=M*s*u+e*h,t[9]=e*s*u-M*h,t[10]=s*s*u+o,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},n.fromXRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=r,t[6]=n,t[7]=0,t[8]=0,t[9]=-n,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromYRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=0,t[2]=-n,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=n,t[9]=0,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromZRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=0,t[4]=-n,t[5]=r,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotationTranslation=u,n.fromQuat2=function(t,a){var n=new r.ARRAY_TYPE(3),h=-a[0],o=-a[1],M=-a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7],b=h*h+o*o+M*M+e*e;return b>0?(n[0]=2*(s*e+f*h+i*M-c*o)/b,n[1]=2*(i*e+f*o+c*h-s*M)/b,n[2]=2*(c*e+f*M+s*o-i*h)/b):(n[0]=2*(s*e+f*h+i*M-c*o),n[1]=2*(i*e+f*o+c*h-s*M),n[2]=2*(c*e+f*M+s*o-i*h)),u(t,a,n),t},n.getTranslation=function(t,a){return t[0]=a[12],t[1]=a[13],t[2]=a[14],t},n.getScaling=M,n.getRotation=function(t,a){var n=new r.ARRAY_TYPE(3);M(n,a);var h=1/n[0],o=1/n[1],u=1/n[2],e=a[0]*h,s=a[1]*o,i=a[2]*u,c=a[4]*h,f=a[5]*o,b=a[6]*u,l=a[8]*h,v=a[9]*o,m=a[10]*u,P=e+f+m,E=0;return P>0?(E=2*Math.sqrt(P+1),t[3]=.25*E,t[0]=(b-v)/E,t[1]=(l-i)/E,t[2]=(s-c)/E):e>f&&e>m?(E=2*Math.sqrt(1+e-f-m),t[3]=(b-v)/E,t[0]=.25*E,t[1]=(s+c)/E,t[2]=(l+i)/E):f>m?(E=2*Math.sqrt(1+f-e-m),t[3]=(l-i)/E,t[0]=(s+c)/E,t[1]=.25*E,t[2]=(b+v)/E):(E=2*Math.sqrt(1+m-e-f),t[3]=(s-c)/E,t[0]=(l+i)/E,t[1]=(b+v)/E,t[2]=.25*E),t},n.fromRotationTranslationScale=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=a[3],e=h+h,s=o+o,i=u+u,c=h*e,f=h*s,b=h*i,l=o*s,v=o*i,m=u*i,P=M*e,E=M*s,S=M*i,I=r[0],O=r[1],p=r[2];return t[0]=(1-(l+m))*I,t[1]=(f+S)*I,t[2]=(b-E)*I,t[3]=0,t[4]=(f-S)*O,t[5]=(1-(c+m))*O,t[6]=(v+P)*O,t[7]=0,t[8]=(b+E)*p,t[9]=(v-P)*p,t[10]=(1-(c+l))*p,t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t},n.fromRotationTranslationScaleOrigin=function(t,a,n,r,h){var o=a[0],u=a[1],M=a[2],e=a[3],s=o+o,i=u+u,c=M+M,f=o*s,b=o*i,l=o*c,v=u*i,m=u*c,P=M*c,E=e*s,S=e*i,I=e*c,O=r[0],p=r[1],L=r[2],N=h[0],R=h[1],x=h[2],y=(1-(v+P))*O,A=(b+I)*O,Y=(l-S)*O,d=(b-I)*p,g=(1-(f+P))*p,T=(m+E)*p,_=(l+S)*L,q=(m-E)*L,w=(1-(f+v))*L;return t[0]=y,t[1]=A,t[2]=Y,t[3]=0,t[4]=d,t[5]=g,t[6]=T,t[7]=0,t[8]=_,t[9]=q,t[10]=w,t[11]=0,t[12]=n[0]+N-(y*N+d*R+_*x),t[13]=n[1]+R-(A*N+g*R+q*x),t[14]=n[2]+x-(Y*N+T*R+w*x),t[15]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=n+n,M=r+r,e=h+h,s=n*u,i=r*u,c=r*M,f=h*u,b=h*M,l=h*e,v=o*u,m=o*M,P=o*e;return t[0]=1-c-l,t[1]=i+P,t[2]=f-m,t[3]=0,t[4]=i-P,t[5]=1-s-l,t[6]=b+v,t[7]=0,t[8]=f+m,t[9]=b-v,t[10]=1-s-c,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.frustum=function(t,a,n,r,h,o,u){var M=1/(n-a),e=1/(h-r),s=1/(o-u);return t[0]=2*o*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*o*e,t[6]=0,t[7]=0,t[8]=(n+a)*M,t[9]=(h+r)*e,t[10]=(u+o)*s,t[11]=-1,t[12]=0,t[13]=0,t[14]=u*o*2*s,t[15]=0,t},n.perspective=function(t,a,n,r,h){var o,u=1/Math.tan(a/2);return t[0]=u/n,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=h&&h!==1/0?(o=1/(r-h),t[10]=(h+r)*o,t[14]=2*h*r*o):(t[10]=-1,t[14]=-2*r),t},n.perspectiveFromFieldOfView=function(t,a,n,r){var h=Math.tan(a.upDegrees*Math.PI/180),o=Math.tan(a.downDegrees*Math.PI/180),u=Math.tan(a.leftDegrees*Math.PI/180),M=Math.tan(a.rightDegrees*Math.PI/180),e=2/(u+M),s=2/(h+o);return t[0]=e,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=s,t[6]=0,t[7]=0,t[8]=-(u-M)*e*.5,t[9]=(h-o)*s*.5,t[10]=r/(n-r),t[11]=-1,t[12]=0,t[13]=0,t[14]=r*n/(n-r),t[15]=0,t},n.ortho=function(t,a,n,r,h,o,u){var M=1/(a-n),e=1/(r-h),s=1/(o-u);return t[0]=-2*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*e,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*s,t[11]=0,t[12]=(a+n)*M,t[13]=(h+r)*e,t[14]=(u+o)*s,t[15]=1,t},n.lookAt=function(t,a,n,o){var u,M,e,s,i,c,f,b,l,v,m=a[0],P=a[1],E=a[2],S=o[0],I=o[1],O=o[2],p=n[0],L=n[1],N=n[2];return Math.abs(m-p)<r.EPSILON&&Math.abs(P-L)<r.EPSILON&&Math.abs(E-N)<r.EPSILON?h(t):(f=m-p,b=P-L,l=E-N,u=I*(l*=v=1/Math.hypot(f,b,l))-O*(b*=v),M=O*(f*=v)-S*l,e=S*b-I*f,(v=Math.hypot(u,M,e))?(u*=v=1/v,M*=v,e*=v):(u=0,M=0,e=0),s=b*e-l*M,i=l*u-f*e,c=f*M-b*u,(v=Math.hypot(s,i,c))?(s*=v=1/v,i*=v,c*=v):(s=0,i=0,c=0),t[0]=u,t[1]=s,t[2]=f,t[3]=0,t[4]=M,t[5]=i,t[6]=b,t[7]=0,t[8]=e,t[9]=c,t[10]=l,t[11]=0,t[12]=-(u*m+M*P+e*E),t[13]=-(s*m+i*P+c*E),t[14]=-(f*m+b*P+l*E),t[15]=1,t)},n.targetTo=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=r[0],e=r[1],s=r[2],i=h-n[0],c=o-n[1],f=u-n[2],b=i*i+c*c+f*f;b>0&&(i*=b=1/Math.sqrt(b),c*=b,f*=b);var l=e*f-s*c,v=s*i-M*f,m=M*c-e*i;return(b=l*l+v*v+m*m)>0&&(l*=b=1/Math.sqrt(b),v*=b,m*=b),t[0]=l,t[1]=v,t[2]=m,t[3]=0,t[4]=c*m-f*v,t[5]=f*l-i*m,t[6]=i*v-c*l,t[7]=0,t[8]=i,t[9]=c,t[10]=f,t[11]=0,t[12]=h,t[13]=o,t[14]=u,t[15]=1,t},n.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", 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+       "        var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
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+       "        var comm = {\n",
+       "          send: sendClosure\n",
+       "        };\n",
+       "      }\n",
+       "      window.PyViz.comms[comm_id] = comm;\n",
+       "      return comm;\n",
+       "    }\n",
+       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
+       "    \n",
+       "\n",
+       "\n",
+       "var JS_MIME_TYPE = 'application/javascript';\n",
+       "var HTML_MIME_TYPE = 'text/html';\n",
+       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
+       "var CLASS_NAME = 'output';\n",
+       "\n",
+       "/**\n",
+       " * Render data to the DOM node\n",
+       " */\n",
+       "function render(props, node) {\n",
+       "  var div = document.createElement(\"div\");\n",
+       "  var script = document.createElement(\"script\");\n",
+       "  node.appendChild(div);\n",
+       "  node.appendChild(script);\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle when a new output is added\n",
+       " */\n",
+       "function handle_add_output(event, handle) {\n",
+       "  var output_area = handle.output_area;\n",
+       "  var output = handle.output;\n",
+       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+       "    return\n",
+       "  }\n",
+       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
+       "  if (id !== undefined) {\n",
+       "    var nchildren = toinsert.length;\n",
+       "    var html_node = toinsert[nchildren-1].children[0];\n",
+       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "    var scripts = [];\n",
+       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
+       "    for (var i in nodelist) {\n",
+       "      if (nodelist.hasOwnProperty(i)) {\n",
+       "        scripts.push(nodelist[i])\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    scripts.forEach( function (oldScript) {\n",
+       "      var newScript = document.createElement(\"script\");\n",
+       "      var attrs = [];\n",
+       "      var nodemap = oldScript.attributes;\n",
+       "      for (var j in nodemap) {\n",
+       "        if (nodemap.hasOwnProperty(j)) {\n",
+       "          attrs.push(nodemap[j])\n",
+       "        }\n",
+       "      }\n",
+       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
+       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
+       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
+       "    });\n",
+       "    if (JS_MIME_TYPE in output.data) {\n",
+       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
+       "    }\n",
+       "    output_area._hv_plot_id = id;\n",
+       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
+       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
+       "    } else {\n",
+       "      window.PyViz.plot_index[id] = null;\n",
+       "    }\n",
+       "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
+       "    var bk_div = document.createElement(\"div\");\n",
+       "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "    var script_attrs = bk_div.children[0].attributes;\n",
+       "    for (var i = 0; i < script_attrs.length; i++) {\n",
+       "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
+       "    }\n",
+       "    // store reference to server id on output_area\n",
+       "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle when an output is cleared or removed\n",
+       " */\n",
+       "function handle_clear_output(event, handle) {\n",
+       "  var id = handle.cell.output_area._hv_plot_id;\n",
+       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
+       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
+       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
+       "  if (server_id !== null) {\n",
+       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
+       "    return;\n",
+       "  } else if (comm !== null) {\n",
+       "    comm.send({event_type: 'delete', 'id': id});\n",
+       "  }\n",
+       "  delete PyViz.plot_index[id];\n",
+       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
+       "    var doc = window.Bokeh.index[id].model.document\n",
+       "    doc.clear();\n",
+       "    const i = window.Bokeh.documents.indexOf(doc);\n",
+       "    if (i > -1) {\n",
+       "      window.Bokeh.documents.splice(i, 1);\n",
+       "    }\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle kernel restart event\n",
+       " */\n",
+       "function handle_kernel_cleanup(event, handle) {\n",
+       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
+       "  window.PyViz.plot_index = {}\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle update_display_data messages\n",
+       " */\n",
+       "function handle_update_output(event, handle) {\n",
+       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
+       "  handle_add_output(event, handle)\n",
+       "}\n",
+       "\n",
+       "function register_renderer(events, OutputArea) {\n",
+       "  function append_mime(data, metadata, element) {\n",
+       "    // create a DOM node to render to\n",
+       "    var toinsert = this.create_output_subarea(\n",
+       "    metadata,\n",
+       "    CLASS_NAME,\n",
+       "    EXEC_MIME_TYPE\n",
+       "    );\n",
+       "    this.keyboard_manager.register_events(toinsert);\n",
+       "    // Render to node\n",
+       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
+       "    render(props, toinsert[0]);\n",
+       "    element.append(toinsert);\n",
+       "    return toinsert\n",
+       "  }\n",
+       "\n",
+       "  events.on('output_added.OutputArea', handle_add_output);\n",
+       "  events.on('output_updated.OutputArea', handle_update_output);\n",
+       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
+       "  events.on('delete.Cell', handle_clear_output);\n",
+       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
+       "\n",
+       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
+       "    safe: true,\n",
+       "    index: 0\n",
+       "  });\n",
+       "}\n",
+       "\n",
+       "if (window.Jupyter !== undefined) {\n",
+       "  try {\n",
+       "    var events = require('base/js/events');\n",
+       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
+       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
+       "      register_renderer(events, OutputArea);\n",
+       "    }\n",
+       "  } catch(err) {\n",
+       "  }\n",
+       "}\n"
+      ],
+      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# imports\n",
+    "import panel as pn\n",
+    "pn.extension('plotly')\n",
+    "import plotly.express as px\n",
+    "import pandas as pd\n",
+    "import hvplot.pandas\n",
+    "import matplotlib.pyplot as plt\n",
+    "import os\n",
+    "from pathlib import Path\n",
+    "from dotenv import load_dotenv"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Initialize the Panel Extensions (for Plotly)\n",
+    "pn.extension('plotly')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Read the Mapbox API key\n",
+    "load_dotenv()\n",
+    "mapbox_token = os.getenv(\"MAPBOX\")\n",
+    "\n",
+    "# Set the Mapbox API\n",
+    "px.set_mapbox_access_token(mapbox_token)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.07</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.38</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>102.49</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>158.38</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.28</td>\n",
+       "      <td>103.37</td>\n",
+       "      <td>100.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.85</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>...</td>\n",
+       "      <td>91.67</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>102.48</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>158.95</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>104.62</td>\n",
+       "      <td>101.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.12</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.17</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>102.77</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>158.65</td>\n",
+       "      <td>103.59</td>\n",
+       "      <td>107.84</td>\n",
+       "      <td>105.47</td>\n",
+       "      <td>100.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.02</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>...</td>\n",
+       "      <td>93.13</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>102.04</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>157.75</td>\n",
+       "      <td>103.40</td>\n",
+       "      <td>107.35</td>\n",
+       "      <td>105.49</td>\n",
+       "      <td>99.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.90</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.77</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>101.96</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>157.63</td>\n",
+       "      <td>103.49</td>\n",
+       "      <td>107.10</td>\n",
+       "      <td>106.46</td>\n",
+       "      <td>98.88</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  SP500       ORCL     SQ       NVDA       BABA        PFE  \\\n",
+       "2015-11-19  2081.239990  36.108597  13.07  30.458263  77.870003  27.049994   \n",
+       "2015-11-20  2089.169922  36.404728  12.85  30.722525  79.949997  26.957846   \n",
+       "2015-11-23  2086.590088  36.219639  12.12  30.262524  81.309998  26.245783   \n",
+       "2015-11-24  2089.139893  36.515770  12.02  30.507206  80.860001  26.781923   \n",
+       "2015-11-25  2088.870117  36.330700  11.90  30.468054  81.709999  27.535873   \n",
+       "\n",
+       "                  NFLX        CRM          GD     AMT  ...    PSX     BLK  \\\n",
+       "2015-11-19  120.220001  80.639999  130.626297   99.63  ...  92.38  359.09   \n",
+       "2015-11-20  123.839996  80.989998  130.896194  100.49  ...  91.67  362.46   \n",
+       "2015-11-23  125.029999  80.779999  130.077530   99.94  ...  92.17  363.25   \n",
+       "2015-11-24  123.309998  80.389999  130.923172   99.26  ...  93.13  356.81   \n",
+       "2015-11-25  124.160004  80.410004  130.608292   99.09  ...  92.77  360.62   \n",
+       "\n",
+       "             TROW     JNJ     UNH     MMM     UPS     ACN     PPG     NEE  \n",
+       "2015-11-19  76.38  102.49  110.63  158.38  104.10  107.28  103.37  100.99  \n",
+       "2015-11-20  76.37  102.48  112.97  158.95  104.10  107.97  104.62  101.02  \n",
+       "2015-11-23  76.15  102.77  112.16  158.65  103.59  107.84  105.47  100.49  \n",
+       "2015-11-24  75.62  102.04  113.19  157.75  103.40  107.35  105.49   99.41  \n",
+       "2015-11-25  76.01  101.96  114.41  157.63  103.49  107.10  106.46   98.88  \n",
+       "\n",
+       "[5 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    " # Set the file paths for the CSVs using the Path class from the pathlib library\n",
+    "Combined_portfolio =  Path(\"../CSVs/combined_close_data_SP500_group_portfolio.csv\")\n",
+    "\n",
+    "\n",
+    "# Read the daily closing prices of MSFT, set the `date` as a datetime index\n",
+    "combined_portfolio_df = pd.read_csv(Combined_portfolio, index_col=0, parse_dates=True, infer_datetime_format=True)\n",
+    "\n",
+    "combined_portfolio_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.002066</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.007686</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>-0.000098</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.003599</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.006432</td>\n",
+       "      <td>0.012092</td>\n",
+       "      <td>0.000297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.006254</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.005454</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>0.002830</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>-0.001887</td>\n",
+       "      <td>-0.004899</td>\n",
+       "      <td>-0.001204</td>\n",
+       "      <td>0.008125</td>\n",
+       "      <td>-0.005246</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>0.006501</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.010416</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>-0.007103</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>-0.005673</td>\n",
+       "      <td>-0.001834</td>\n",
+       "      <td>-0.004544</td>\n",
+       "      <td>0.000190</td>\n",
+       "      <td>-0.010747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.002405</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.003866</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>-0.000784</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>-0.000761</td>\n",
+       "      <td>0.000870</td>\n",
+       "      <td>-0.002329</td>\n",
+       "      <td>0.009195</td>\n",
+       "      <td>-0.005331</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.002617</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.000108</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>0.004021</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>0.002284</td>\n",
+       "      <td>0.006667</td>\n",
+       "      <td>0.003361</td>\n",
+       "      <td>-0.002348</td>\n",
+       "      <td>0.004956</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500      ORCL        SQ      NVDA      BABA       PFE  \\\n",
+       "2015-11-20  0.003810  0.008201 -0.016832  0.008676  0.026711 -0.003407   \n",
+       "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973  0.017011 -0.026414   \n",
+       "2015-11-24  0.001222  0.008176 -0.008251  0.008085 -0.005534  0.020428   \n",
+       "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283  0.010512  0.028151   \n",
+       "2015-11-27  0.000594 -0.002038  0.012605  0.008352 -0.004039 -0.002434   \n",
+       "\n",
+       "                NFLX       CRM        GD       AMT  ...       PSX       BLK  \\\n",
+       "2015-11-20  0.030111  0.004340  0.002066  0.008632  ... -0.007686  0.009385   \n",
+       "2015-11-23  0.009609 -0.002593 -0.006254 -0.005473  ...  0.005454  0.002180   \n",
+       "2015-11-24 -0.013757 -0.004828  0.006501 -0.006804  ...  0.010416 -0.017729   \n",
+       "2015-11-25  0.006893  0.000249 -0.002405 -0.001713  ... -0.003866  0.010678   \n",
+       "2015-11-27  0.010309 -0.005472  0.002617  0.005954  ... -0.000108 -0.006184   \n",
+       "\n",
+       "                TROW       JNJ       UNH       MMM       UPS       ACN  \\\n",
+       "2015-11-20 -0.000131 -0.000098  0.021152  0.003599  0.000000  0.006432   \n",
+       "2015-11-23 -0.002881  0.002830 -0.007170 -0.001887 -0.004899 -0.001204   \n",
+       "2015-11-24 -0.006960 -0.007103  0.009183 -0.005673 -0.001834 -0.004544   \n",
+       "2015-11-25  0.005157 -0.000784  0.010778 -0.000761  0.000870 -0.002329   \n",
+       "2015-11-27 -0.000789  0.004021 -0.000612  0.002284  0.006667  0.003361   \n",
+       "\n",
+       "                 PPG       NEE  \n",
+       "2015-11-20  0.012092  0.000297  \n",
+       "2015-11-23  0.008125 -0.005246  \n",
+       "2015-11-24  0.000190 -0.010747  \n",
+       "2015-11-25  0.009195 -0.005331  \n",
+       "2015-11-27 -0.002348  0.004956  \n",
+       "\n",
+       "[5 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "daily_returns = combined_portfolio_df.pct_change()\n",
+    "daily_returns.head()\n",
+    "\n",
+    "daily_returns.dropna(inplace=True)\n",
+    "\n",
+    "daily_returns.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
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+       "\n",
+       "    .dataframe thead th {\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>PPG</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>0.009976</td>\n",
+       "      <td>0.004635</td>\n",
+       "      <td>0.001658</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.012092</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>-0.003448</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.002146</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>0.008125</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>-0.011314</td>\n",
+       "      <td>0.001107</td>\n",
+       "      <td>-0.007709</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>0.000190</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>-0.003121</td>\n",
+       "      <td>-0.010323</td>\n",
+       "      <td>0.001233</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>0.009195</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>0.000379</td>\n",
+       "      <td>0.004470</td>\n",
+       "      <td>0.007328</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>-0.002348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.015977</td>\n",
+       "      <td>0.008432</td>\n",
+       "      <td>0.035520</td>\n",
+       "      <td>0.042578</td>\n",
+       "      <td>0.005042</td>\n",
+       "      <td>0.008110</td>\n",
+       "      <td>0.020715</td>\n",
+       "      <td>0.021848</td>\n",
+       "      <td>0.015370</td>\n",
+       "      <td>0.021200</td>\n",
+       "      <td>0.022787</td>\n",
+       "      <td>-0.012738</td>\n",
+       "      <td>0.023848</td>\n",
+       "      <td>0.014502</td>\n",
+       "      <td>0.033623</td>\n",
+       "      <td>0.010929</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.016111</td>\n",
+       "      <td>-0.003679</td>\n",
+       "      <td>0.019275</td>\n",
+       "      <td>0.012526</td>\n",
+       "      <td>0.018149</td>\n",
+       "      <td>0.009431</td>\n",
+       "      <td>0.016091</td>\n",
+       "      <td>0.016190</td>\n",
+       "      <td>0.000792</td>\n",
+       "      <td>0.007849</td>\n",
+       "      <td>0.007795</td>\n",
+       "      <td>0.020550</td>\n",
+       "      <td>0.019788</td>\n",
+       "      <td>0.026593</td>\n",
+       "      <td>0.002413</td>\n",
+       "      <td>0.012391</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.004813</td>\n",
+       "      <td>-0.001846</td>\n",
+       "      <td>0.025193</td>\n",
+       "      <td>0.014634</td>\n",
+       "      <td>0.003333</td>\n",
+       "      <td>-0.006046</td>\n",
+       "      <td>0.005768</td>\n",
+       "      <td>0.003162</td>\n",
+       "      <td>0.000500</td>\n",
+       "      <td>0.019352</td>\n",
+       "      <td>-0.010409</td>\n",
+       "      <td>0.007208</td>\n",
+       "      <td>-0.006892</td>\n",
+       "      <td>-0.008246</td>\n",
+       "      <td>0.003034</td>\n",
+       "      <td>-0.011582</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.008254</td>\n",
+       "      <td>0.003867</td>\n",
+       "      <td>-0.013713</td>\n",
+       "      <td>0.023042</td>\n",
+       "      <td>0.061568</td>\n",
+       "      <td>0.014653</td>\n",
+       "      <td>0.013273</td>\n",
+       "      <td>0.015640</td>\n",
+       "      <td>0.006705</td>\n",
+       "      <td>0.000420</td>\n",
+       "      <td>0.014812</td>\n",
+       "      <td>0.008122</td>\n",
+       "      <td>0.015771</td>\n",
+       "      <td>0.005726</td>\n",
+       "      <td>0.025053</td>\n",
+       "      <td>0.014543</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.005293</td>\n",
+       "      <td>-0.000335</td>\n",
+       "      <td>0.036543</td>\n",
+       "      <td>0.006208</td>\n",
+       "      <td>-0.013368</td>\n",
+       "      <td>-0.008992</td>\n",
+       "      <td>0.054957</td>\n",
+       "      <td>0.008475</td>\n",
+       "      <td>0.001737</td>\n",
+       "      <td>0.018060</td>\n",
+       "      <td>0.010127</td>\n",
+       "      <td>0.009746</td>\n",
+       "      <td>0.007737</td>\n",
+       "      <td>-0.001404</td>\n",
+       "      <td>0.004170</td>\n",
+       "      <td>-0.002457</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500      ORCL        SQ      NVDA      BABA       PFE  \\\n",
+       "2015-11-20  0.003810  0.008201 -0.016832  0.008676  0.026711 -0.003407   \n",
+       "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973  0.017011 -0.026414   \n",
+       "2015-11-24  0.001222  0.008176 -0.008251  0.008085 -0.005534  0.020428   \n",
+       "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283  0.010512  0.028151   \n",
+       "2015-11-27  0.000594 -0.002038  0.012605  0.008352 -0.004039 -0.002434   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.015977  0.008432  0.035520  0.042578  0.005042  0.008110   \n",
+       "2020-09-28  0.016111 -0.003679  0.019275  0.012526  0.018149  0.009431   \n",
+       "2020-09-29 -0.004813 -0.001846  0.025193  0.014634  0.003333 -0.006046   \n",
+       "2020-09-30  0.008254  0.003867 -0.013713  0.023042  0.061568  0.014653   \n",
+       "2020-10-01  0.005293 -0.000335  0.036543  0.006208 -0.013368 -0.008992   \n",
+       "\n",
+       "                NFLX       CRM       AMT        FB      MSFT      COST  \\\n",
+       "2015-11-20  0.030111  0.004340  0.008632  0.009976  0.004635  0.001658   \n",
+       "2015-11-23  0.009609 -0.002593 -0.005473 -0.003448  0.000000  0.002146   \n",
+       "2015-11-24 -0.013757 -0.004828 -0.006804 -0.011314  0.001107 -0.007709   \n",
+       "2015-11-25  0.006893  0.000249 -0.001713 -0.003121 -0.010323  0.001233   \n",
+       "2015-11-27  0.010309 -0.005472  0.005954  0.000379  0.004470  0.007328   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.020715  0.021848  0.015370  0.021200  0.022787 -0.012738   \n",
+       "2020-09-28  0.016091  0.016190  0.000792  0.007849  0.007795  0.020550   \n",
+       "2020-09-29  0.005768  0.003162  0.000500  0.019352 -0.010409  0.007208   \n",
+       "2020-09-30  0.013273  0.015640  0.006705  0.000420  0.014812  0.008122   \n",
+       "2020-10-01  0.054957  0.008475  0.001737  0.018060  0.010127  0.009746   \n",
+       "\n",
+       "                 BLK      TROW       UNH       PPG  \n",
+       "2015-11-20  0.009385 -0.000131  0.021152  0.012092  \n",
+       "2015-11-23  0.002180 -0.002881 -0.007170  0.008125  \n",
+       "2015-11-24 -0.017729 -0.006960  0.009183  0.000190  \n",
+       "2015-11-25  0.010678  0.005157  0.010778  0.009195  \n",
+       "2015-11-27 -0.006184 -0.000789 -0.000612 -0.002348  \n",
+       "...              ...       ...       ...       ...  \n",
+       "2020-09-25  0.023848  0.014502  0.033623  0.010929  \n",
+       "2020-09-28  0.019788  0.026593  0.002413  0.012391  \n",
+       "2020-09-29 -0.006892 -0.008246  0.003034 -0.011582  \n",
+       "2020-09-30  0.015771  0.005726  0.025053  0.014543  \n",
+       "2020-10-01  0.007737 -0.001404  0.004170 -0.002457  \n",
+       "\n",
+       "[1224 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Drop stocks that are not being used in our portfolio\n",
+    "#Keep the following: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ\n",
+    "\n",
+    "Portfolio_returns= daily_returns.drop(columns=['GD','HD','WMT', 'VZ','MCD','SBUX','CLX','PSX','JNJ','MMM','UPS','ACN','NEE'])\n",
+    "\n",
+    "Core_returns= Portfolio_returns\n",
+    "\n",
+    "Core_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2015-11-20    0.006532\n",
+       "2015-11-23   -0.003925\n",
+       "2015-11-24   -0.000940\n",
+       "2015-11-25    0.002003\n",
+       "2015-11-27    0.001257\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Use the `dot` function to multiply the weights by each stock's daily return to get the portfolio daily return\n",
+    "weights = [0.40,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,]\n",
+    "core_portfolio_returns = Core_returns.dot(weights)\n",
+    "core_portfolio_returns.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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gPCjoXyS8/KIogDTRXADpsRer1yapxb9YS2Qjycb7fqMr4z6x97Q2Hh5pabsWK5eB1E0rLo7NFC/EyTRbPILQNpTFEq8O5mVHNtIH/tGrHtNbr3+mbGDD/VrPK52NruPqieeEodXEbO1i29WccxlPbTwW3SARcaLmEEDqUnGHp00FHYPQ6sP379TRs8VOciGewpbderhjvM8YDfRH88it1cM7T+n/u/oxTc4tngLR77tzq956/TPz/rrNLOt5vnEBzG7q4AHoDHfBd9+WE/rJqx9f0CC8a3NGpnK6dvU+rdpZnhGwb6i4vK+blmyt1TP7z5CR1GXct5EvZMxhU+mmpf3FLnGz9Tz+9u5tTT3P34b459QqbMsGilPeGx2h/92bntfbbljf0nZVcuv6wx2rFzUf+vu6rwYSbcfi02hfP7uIdmP7xa6T42X1+xrJQHKrqtUT0Alt61PYzkX1fts528B9pmQaNYcAUpdy2Y7tSufbcXxMX3vmsP78jhei948CSBXSpUsHnkmchAfPTWs2H2qqRgApDK0++fBuDY+3VnitlzHCVJtbBbCbUswBdIbf0Ts7ldOpsebOH8MTszWzRdw5zv2bdS6Oi3BG2/XQjlN6x43P6bbnjiYeNzVX4MKwg9IlASp9E+77bDYDqdWLqEQGkre7WUkrlhYDSJ2qi5lmrdVHvr1L92we7PSmNM0dt920UIfbA/q4qu06n3joRX33+1c2/Lz5GABt5jXStZQaeQk3k6SegE5gW89AGpspPr+dwVz3mdY60jhzZyOA1KVKGUjtPbG5g9cdWJXe33WG+0xyFGdqrnjBXyriln3oHTs3rS+uPaDHdg/P38b3GDKQanMZSN1U5BJAZ6RrFZxosu7enRuO6f/esrFqBpOrj+AuLrMem77YOxpNc/Onu41M5fQDH1ql6x7f39S2onWuP+LOucki2kVWNr7AGmliOkUY2pYH/PztStdDWj5Q7K53Sw2kuUJxpeBezg42XbgKW6lvTQCp23zpiYNNrcrZyApqkhf48XaBoJk+cKUMpLpWYXNT2OqrgTSbD8uuadbsHtYNTxyoa1NdBlIjWVKtcuf4SsdavUfg/uHJRTXrpl4EkLpUereQT/0AACAASURBVM7+QnMHkHvfWquw+VPY+r3nTucKifsrtT2u01ErU2kxS1+QrNkz3PCJphd964Xj2j88WddjZ6iBBJx39g9P6HOr95UNQKQ7dCdGZ3T4zJSeP5Ss8XLfluP6r9esqXj+cqs7VqrxJ5VnIGUF/EsZSK64d7Sd3oa6bJb7t56o+F5YWHER7UL1ga0w1S9pZDrFfGQUJ4NGpdutpGXRqq3dUjtxOl4MpDu2pxl9cQZS9/QvXJzAb0Pu23K8pzO9FptGs0nTC+Y0s+pXM/to+imNbLcLINXzHPeYdAbmu762QVc/tLuu9zs37YL2dW9iy1xQrvb3YZUrhLru8X2ZfYrf+tJ6fXrVnoXYxK5GAKlLuQO/XRlI7gBy7+saq5mKAaRS5LaUgSRNRhlIGw+PaM2e4YrRZNdRm67SgV/s/I7XvqEJvevmDVqz53QHt6g9/vKbW/TfP/NEXY91+183dfAALKyHd5zSZ1fvjVesdNIjhSdGZ/RLn1+n3/zS+kRH98DpKR0dmdbmI8nFD25cd1C3PXskHnmczlcewHDBA9f2ZGYgpQJGYUb2AIkEnee+p6wpbP73476/ZgYuKvWVGpEunO39omVxBlJzfcKsv8W2MPXEBdl6O4AUFdHuoiny7nv3m43bnj2ijz6w67wYYOwFjWYaNjtF0t8HmhlErTSFLX17lrMNZCC5xzTalqzcdlLXPFwMMI12oAZSaQpb7VXYvrnhqD79yF59+cmDZY8bm8nryX2L/9otjQBSl3Kd4XanK9s4A6nY4M3mg8wItGswklPYwjgD6S/u2KJ33byhYgDJNRLnSwbSM/vP6Jn9ZxK3+R0vl/54pkPLB3crlyFADSTg/JELsjNg+1L9vBNjs/EgxOC50nQ2d6H1VKrNvWvjoFZuOxmPCLsp11ncOTAOPmRcuIfeeTDrdx8tWOe4foj7DrO6JdaWj9i3O4Dk97WSwSRpeZSB1GwAaXym/OLu5qcP6z9++BENnitfYbCWqaiv103Bl0bFqzp20RT5rCzGXGB1bjqv5w7VXk1v9a4hXXHlysxVI1v1udX7dMWVK8/7em6NZgHOxzHSVA2k1FO2HBut63n5IIyzierZdLdpjdaAe+/tm3X92gPKFUKNTrd/Fba4fa9jkMe17+l21NriNN6Dp6earsnYqwggdamwSqd1IbjGyTU4LrYR2vL0S/9x6QykdIc8kYbt/eIOXNcJWezeceNzeseNzyVu8zuC7vMfy+jkna+C0MafUStFLvNBqL1DE/O1WQAWmAuupwNIZTWQRmf07y5dLqm4EITjzi9PpwJII9M55YJSrYbpKuefdKc/a9Q5XQMp/bvk1dhZJBdd1tqe+1tcfyqfWUTbeI8r3TNXCBoaDa82HbJe/rVTWQ2kJcXuerN9wqy+xcPRyoLHRhqvJeb6evkezg527Uk3ZTi7LfHbOrd64IPbT9Z8/h0bjkkqrsI13z67eq8kSgo0GsTtxCpsUrKd23pstK5VIu/ccEzf+4GH4t9rBXT8+8ebzGbcNzwRB5DamYGUj2sgVX+cldTfV2x/09vnXx+vP5jsbyx2BJC6VFwDqV0BpKiBC1MZSFL2Smxxqn5fqbMcWFuWUeQ3elk/T1cZAV7s/IbHnWAWewCpkQsP/+KxlQ7LRx/YpZ//7JM6MdpcwV2gWdc8vFt/Ga1sifoVKgSQ0h29k6Ozes1LVkgqLszguLZ12/GxODXeWqtzUznlCmEckK6egZRsc7LOxXENpPTv3sWfTf3b637+s0/qBz+0qtOb0RB32ql1IeefnyZmCw1lvqb31WZG0qvWQBpwGUjN9ZlGq/Qt6pnSkjYdZyB1T/ZOo/q7uIi2UXHK7RVXrow/61U7T5Vt69D4rN5355Z4/3OB7qUDC3d5186L/G7UcAZSk/uXP15Sax/Nam/82/xVR9Nf31Urd+nbUY2+a6MgYfwaNb7rMNVmNuLiZQOSpF0nxr0i2g29REviGkgVUpD8P70/zlZMbqA/uL3+wNn53cAuRwCpS7mdtF0BJNfhdo2B3+DNZoys+R3lgYwpbOnHpV/T/X3dXrl+IdIpXcaWfxJyo93dFkCazQfzmgrd7JSAVkYIXYFdN8IB1OtcC0vFS9L242PaeWL+R4IXO3c+msklz39ZGUjp50ilTp21pU7dxFxBhdBqrhCUXr9KDaR0m1MtE9fEC0kUf/cDXXEm0yK55to3PFlWm6rbuYvy0hS27C/D/8onZgsNXSin6zk2s5pQOuuo9LPiDCS/T5grhGVZdpVkTWFrpTxXqQZS+jgJ9dWnDvVEbaQoqaC7MpC8NuVzj+2TVOwXXrRsQGcmc2ULBnzk2zt1z+bjWh0FCHJRgHFZ/wIGkLro8+qERgNIDWcgNXGyqLUPr92bXaOnEIT6yrpD+rNvFAe6LoiCOk6tNjBoIYB0wbJiUPykNxV9Pq+5coVQb/mXdXrmQHYbGddAqtAQxptiS49N7/tuYQZJeoYAErpBqe5CeUdtx/ExXXHlSm0+eq7svma5g6I0hc0LIGUU8nZ396ensJV1ovyfbdnP3V5EeyFGWlxb5Z9UujUD6Zb1h/XLn183b6/X7JSA873Dgs746AO79Mf/uilx26mx2bo7OVNzhZaX9j4fuc8snf2a7udNzBU0PlNeiyUfWF12wRJdtGxA66IL7HNRUdBcoTSFrZEMpKxzcXrJ7awluONzq/e84YnZspp4WDhxDaQqx6JVso8yPpPPPO+EodXNTx8qm7KWroHUzCnLJvpL/rbZUgaS1x/75MO79b9vfE7bBmvXNpnvgE48hS31ul97+rA++sAu3bL+yLy+30Jwgd9PrdqjD9+/s8NbUxRPYfN+KQRWP/k9L5MkbU19124fddlULrixZAEzkLop4NYuflvQ6Dm90f5rM5cdWQFr/6Ztg6Up3v4j/dqBknRhKoC0etdQvCJbFv89/CLa9cw2cNeWwxOlQbqtx0bnZTqwJA2em9aO4+P6wL07Mu8v1fItna83HB6JEyH8QF5cjzUdQIoGq/795Rdq8NzMgtQe61YEkLpUtSlsq6J560/tm78OqDsI3KHhd8arTmEzRn1RACkMy6ew2QoZSO71u70G0kIELrI6s24UL2uUsJNGpvIany3MW82LTmQgZRWlBOpxcmxWY17m2onRGf34Jx7TtdHIcC3TuaAtdexyhVAHTk8u+Pu0i6v5ke5I9mX0WNzUNT+VPAhDLR/o13945UU6cnZKUmmZ4FwhLK3CVq0GUlkAqfJASlxEOz4ven9LRv222549qnfe9HzmksC1HB+d0f5haro1Il1T0j8PVZomMj6bHUB6aMcpfeTbu/TpR5LLNqf31WYykPwLlnQG0kBfMds7F5Texx3z9Sy+kZVB18o5MS6indq/3SDYdJdnl0te+YXQds0qSonvPfo3H4a6ePkSSeV9qDiA5DLbXTmKFvpMZybn4oB7lnYWOu4W/rVKo6tjZx179ag0tSpL5iqLdWQypfsNFy7tT/y++eio3vW1DRWfX2kKm58ckLW/WGvjGShD46X2654Xjut9d26pud3OjuNjFc+jfXFmcPbn4L4X1w7uOD6m37hhvT7zyN5ou0uPdckR6aQH15f4T6+5TJJ0OOpvnA8IIHWp9KohPhdkuHj5QNl9zSqkprD5B1zWwemvNtPvFSJMB5D8dsOvJ9DKKmyz+UBffvJAW+beL8RIi3vFxBS2sDszkPJxbaz5eb2GAkiJDKTWv+tmOvToPWv2DOu9t2+el9eamMsnAgCnxosjZU9USAdPa1cA6b4tx/Xma9c1XcSy27h2N53VkZ7CJpU6dIkpbIHVQL/RQF9f3ObEGUhBGF9kVctASnd6s0adS1O53e/l21nK7vVHM4vT6ZrpbP7k1Y/rv3/myYafdz6LL8SjfSQrE9ba5Gj61Fwh83zlLiTT5+qyGkjNTGHzdrFEBpKVZKRlA32Ji9dSDZ/ar111IYomTo2lDKRUQCOuj9lbIzZnJysHTJpZpa5Z7nv39598UCqiXjOAlBEkbdQbPrZa/+OzpTZm05GRRJbb+ZiBNOkFR/wgbj0avVYpzZyyevMPvqqu52RlGPpf09IKUxoPny3u264USToDSZIOVRmc8vczPwPJDyZl7S/TuSB+7vB4skzAC0frWy3uzOSc3vIvT+nv/i27OHitAFL6usJNB3ZJE34Azg02TaT6WO5zvzCajtfLq1I2igBSl3LHW1YGkjsw3YhEo9buGS6b/pYuou0f8FnphH5HOZ7CZm1ZdNZvXPzXdMdttQ6887OfXqv3fbMUkb7u8f36+IO7dc/m45KKHfP0vPBGPLn3tPZVWKVrvjOQiivYFH/2L0i6tQZSer9oVSNxoEQGUguNsjsJnE8N+/nsXTdv0MptJ+cla258ppDYb+JstjqfP50rtCWANDJVXF1spMpFUKdM5wraNjiqv717a90j1/EUtrIi2pU/eb+Tng+tlvT3yZjSucql4c8Vwvix1ZZebyQDyaQ6qonM22j/8V/NXXQfGG5+tHK+6gfOFQL9/tc2JFaxW2zc9+E6+0HGMS2V12xsNmNWaq7vUKkGklTMRrjsgqU66V1s9fWVMmh8ZyfnyqZSZJ3/XIZDMy1lpSLa6aBqN/M/77GZfOZF+L9tGtRPfXJNS33MRrgtCm1pHwhCq+XRFMayAJLLgkwFkJoN8rhgmZ/V9r++uF6/ct3Tpfc8DwNI/rmo0dq0jX4X/rFf73GUVX/If53//NrLMm93f1chLK6ueVFGAClr4MZJ141zRmdKfZGs/cW/1vEzkIqvWXz81585rL+Krv3C0OqO548mzsMuAaFSwCke2KnwdZVqIJnE6/z7yy+SVDo3WJWuVdOfs2szVizpT/x+PiCA1IX2nJrQwSjim7XihhtlvmhZf9l99fi9mzfordc/k7jNHUjuQEvUQMpoLF0D1N9XCiC5UdWsx0npzlk0AlzHFLZDZ6Z0zwvH49/d3+86MDeuO6Tf/NJ6rWsyBfmdNz2fGG3xzX8AqfRz3vtcu7UGUi4odWCcp/ef0Xe9f2XVFOdKqo6CpszM0ypsTq827JuPntN7b9/clrTxXSfG4ymyvW4+ag+Nz+ZTI+yNXRxN5wLNtWG/cx3aRotYLrQTozP6/g+u0q9c97Tu3DhY11QbqdQ2pgNI/se+tL8vHjWV0lOkw/jc5I4bt8pLcRW22hmw6dHJXMYFuE3tD659z1owItH2R/tEK9MOf+7Ta+elXTx4ekqP7x7Wn39j8a4WmB4YS2Yglcb7ExnToa1asy99V/kUtmK5gUa+4/TKa6XbrYyRfvi1l2nzkdLgn8tA2js0oWcPlgq4/sQnHtebrlmTeO1q579mgg0ugFne50tuWzdLB+lcG+F77lDxcz3YpinCbptCm5yAtHSgT32mfDCvLFOyxQykerI/zscAkt+faDSA1Gzf09r6p7FlBpC8ny/JSDgIQ6s57xw7PlOIM2l81Q5lf/9z22Ct1ee9af5Z/X4/W/p0ql/gXvFD9+/UvdG13wvHRnXlPdv1dIWC2FJ5MDsOAFVox11Q3XUj/KCX/3zJz0BKB5CKD1qxtBh4O3x26rw5PgggdaFfuPZJ/c3dxZS8XCEs2/ld0dBW7T5VWh0ofYAnaiBljNLGacreFLas7fKPo0QGkiuiXUcGUiUuauxO8M1Mh6ulkYBHPZJpyf4UtlIGUjfNL3cN8pGz0/FqVDc8cUDWlhdzrEezRbTnI2W6V4sZ/9Etm7Ry28m6L75b8ZV1B7ummKjkMvaa++5bXcHSWquJ2UKiDWgkAykMbTyFbb5qiFXiBhq6bQrb8dFkgc70SGMlrm1MX5T7Hdn+PqNXXrK87DlSsb0YiAJIrs0Z8aewRftGtUUc6slAcj3dax7eoxdPjpdG/7NWhPO68+7+VgJIwxNzOnSm9XoLbgDoyCIu/pk+jfvn2EoZSEGLGUjbBkf1nts26WtPH65/OysMuFkV25wfed1LdHJsVkNRFpL77j7z6F69/cvPxo/POtdlnUPd8dRMOQDXd0sfF6XyBuWt5Lp9p+Nt7wbp7zerWLC7QFyygKuaZQm9bHX3/v19xluhOdAVV67UU9G0G9emuO++2T5TPcGO8+UCed2+0/rIt4v9IX8/bzSruNHsd+v9W38GUvm53/8uly0p33//7y0b9fnH98e/n52aizNp6nXQOwe5/sf9W0/owe2n9IqLl0lK7i+bj57T++/ZXnWRnKzu0tmo/+sHvEoZQlb7hyf1/R9clcikDeJgbPa2p48Rd57ImkY6Ga86mfzu0xlIH39wt65ZtTv7DRcZAkhdLrTlO7k7SFu9Hv7Fa0ura+VTNZD80dfMGkjuQsoY9fcXW7isBizRIfNrIEUv73fm65VuXIYnig3LRcuam9JXzXyfKP2XSxbRLi07PdFFxSfddv3CtU/qxz/xmKTSXOpmCgM2XwNpPjKQerzT04YB3bGZfOJ4vOGJA/q9m59f+Deu4OpolaFmtDp1zM3R9zt/WTVuKpmvIvD1cHVRuq0Iv1+AXEqutlKN+7zS2a9+22+M9KpLSwGkxHTpINSS/j71mfIMJGtL57TqGUjpAFLxOX9826Z4ZUr//Pant2+O28t8oqB3RgZS2HoGkiTtPNH6tLP5qJnSqLV7hvXxB19s2/uli8kGqeBM/HMLU9jS/aQP3rdTNqP/Vo3/0OTPxQykV1+2QpJ0OurzNFJnqFqQqJlz42QuOwPJfbbpJvLwmSm986bndcv6ww2/10JJfzVZdZDcMb2Qq5o5q3cNaV20OE4Q2sR+W8xAKgXE09nq7vudi4/n5s5/9ezzvVQDaWwmr7s2Hiu7fXKuoJ/65ON67mDlpdd/56vP6+YoANxSAKmFgeh6+hpSdgaSXy9tmbf/um/vsd3DicdnZeBJya7n1mOj8Xlz96lx/a8vlmazuG34zKN79UOvuVR/8jP/XlJyf/ntLz+rbzx/tGwK9tLE8VW+f7ltq9RWPbn3tHJBmJi66/blWjWQ3OPiwR43Fd1tjVeeJb3vu/bhAq/4+KO7hjLfb7EhgNQD0iPp7iB1J5Ltg2O64sqVceQ159V4qFe6iLbfwcoOIJVnIGU1YFnT1qTkSaraSjjVuHZ1OBrVXogpSvMfQCq9Xq7gZyOVfu6mi8B8xt8/EAUMmxm1bHZEd3KuoGse3t3UqkXuI8+3oRbNwmhfZ208VQfi6od2a+2ezq1Os29oMl5ly/nG80f1E1Ews5pWA0guUO9/HnF9jzqe72e3LHQdpGansBWCUB97YFd8QTrf0hlRwzXe55Gdp7R611D8eVVb2cpIiXoNiSLaYbGIdl9GDSSpNJrYUAZSECoMrR7acUo7T4xH25N8ThyMCcrb9uQUtigDaXiqpYzTXSfGaz+oBr9/MTaT11wh0Ltv3aj9wws3ZefRXUP68pMHqy4PPZ/SH7F/6ipNc0je3nAGUmpfKmWHNRJA8jOjkllSRkaXrigOkrk+Qn8DgwrVVmFLX+CGoa3Zn3KrrFWaNtKfCm7d/PQhWVv9mGu3dGbo2dT+uGb3sB7YdlKStKQNRcH9YsDpou5L+pNTctO7leurtVoDKTGN0lr9n4wBnPlY1CTLdG7+Vvx1/vKOF/Q3d28rW7ly8Ny0Bs/NaH8dQXxrbUsBpEYDtPFHYOsfN8zKPvbb9mUDtTOLzk7m4rby517/ivh2F8Qan83rV7/wtP4yqkt027NHEs93SQRTcwX9wHdcqqUDlQtLp9uXl1xQSgBI7wLW2ngV1cR1ZNwfM9p4pFijzL9uKC0Klf33FlIBpvJMqNLvLmiWfox7DT9zK6tu8GJEAKkHpBsr13lwJ5K7NhWj689FRf7+wz88VLGmTyXuhOCODf/kM5uxZKWNA0gmXlo5qwFLripSGjn5m7u2xrdPVTnYMpd/TJ053aj2fExRGpvJa82eUlR+IWsgJYtoJzvx3SIr6OJSuZv5vJsd0d1weETXrz2QqPNQL/eOzQYYD5ye1Ee+vbPjUwsXeBaUpOIxnNXxbMeKh1nGZvJlnY/337NdJ8dma3Y0Ww3auGBMsrZO9uh6Fj8wvvABpMamsIVRwcw1e07rxqcOxWn68y3dlg1XmcIWhFZ/dOsm/eEtGysW0fa/8T5jEgEkv2OZD0It6UtO+Tg3VdqW6XhJ3kYykELtSS22kFwO3mROH8lq8/wi3m//8rP6sY+vrrgd1eychwCS3y6u2nFKm4+MatXOIX3g3u0tv3Yl7jjadORcjUfOj3RbkZweZjNvTweQyopap9qArILsl1+8rKGFIyrVjLTR+7k6Ju44r1ZUPv16VWsgpdrYj67cpXd+tXrmqeu3nZ6YS2Sfu8/M37ax6bzu3DgoqbG2cDpXyFzx8s4Nx3TDEwfKbg9Dm2gDj56d1qdW7a54rkgfmiOpaeIfvH9H/HM6ILYQBryIYDprYkl/n/qNiYOc6XIArq/m2qBm+67+687kg3iKXOIxC3A6G5/N640fWz3vNRhdgCh9rIy6gEQdwZ18YBO1DBsvot3oB+YyYKzq3e0yM5C8GrqJDKQKf/K56ZyC0OrCpf268Z1viG93m+Ayit3AxTkvw9gYvwZS8TmuRmHW359uB15ywdLS9pX9HWFcczUflJ9braw2HD4Xb9ORaHXTrBVQfe67L2UgJQNKfqy2lIGUmsIW/R0rvAykbgqSLyQCSD0gXUjbTXFyO/nRKGXvVV49iEq1ESodSOlR0iCwcQcpMwMpOob6+0zVGkh+Kr87OL+49kBimla1aQSVpnlJpUbNHeTzcZF254Zj+v2vbYi3ab5TdZMZSNlTXNIXXVNzBd2y/vCC11HJkvX3Z01hm80Huubh3TXrUDXSqfEbYRfRbyW4lpVNVY///ZXndPPThzVU5/Sb+ZZVmHehuIDNoTNTiSLpoy0GNe99YbCpbInxmeyAlpTs/G86MqKf+uTjGvVSsFsNKLtAfRCW6jC5Nqiewpb+CpMLXX/LtX3jdWQgWWv13X//oK5a+WJ8bon3sSDUR769c94yktLnhKwpbDc9dUh/8LUNcS07qZgmL2Wce/xdwShR8DNRdyiw6u8zxSls0R/np+e7dqra4EVWAMkPOFlryzuTbgpboh5TMi2+eH/p5+cPj2hofK6pAPXOE2Mtnxf88+a3thwvKwhej2f2n2no/Os+n42H27SyVVkGki27zyr5HQWhTdVtrP4e6VHnC5f2a6DPlA14PbDtRMWLZP+R/j5ibTFAecmKYsDUHVfpKWzpIFEi+J1VAylqx9LPGzw3o22Do1X3Lf8Y8gt2+/UxnW9sOKqZfKCl/X0N7Sd/c9c2/e5Nz5etKLdy+0ndvWmw7PE3PHlA/+nDj8Tt13tu26QvrDmgA6ez+8PpIE06I25JX+kSqR1TPAdS7+e/45L+PvX1ldqzfCG5PaV2Jvq9ySn7/t85WeF80mpt0Id3nNSTqcDgsZFpTeUCHRuZqfCscvmgdn1BF9RITwUbjadE1f5b0qU2chmLG1Xfzub3nfqnsGVkIFWYwpbmBmLOTuVkrdWSgb7M6bEuOOuCJf7rX7xsoBRAUjGg5AKiWceOC8K5zB2XXSkVj0P/75nJBfGxmTi3Rp/rsZGZ+Jj/6AO79NOfWitrSwMAlaewRfeHyd9LDy89z537/d1l89Fzejhqy/0pbGQgoWvMZWQASaWd3Z1c0x2VzNeqcPL2O7m/eO2TuvGpQ7ogOrCzMpD8ee5uZCZr9DvrYE9v5+RcoeLFpf+3uwu6+NmmeuepHumG7fTknKz1lvud7wwk72e/kfG3/W/v3pboYH5s5Yv64H07tTZjJG6hZX2mS+IAUvG+e18Y1L9tHtT1aw/omQPVM4QqNeRZ/BFd93Mz0/vii/8mA4ynoqKf6Q5bu1W6wAxCO29Za+MzBeXDUD/76bX6xc+Vshirrbg3kwu0L5WZkfZX39yqX/r8uqqPydye2XzFY9C//cDwVHTRU6oJM19T2KTSxVccCKqjTzeTb2cGUv01kFxn9sanDpXqe0QdvbV7Tuvmpw/XLKR+8PSkPvvo3ppBj3qmsP3TA7v02O5hrYymikili/V0Vod/7jBKpo2XFdGOpnzEGUjTubgTPVVHBlJ5rQOb6DzmgjBxkWaUXU+oNErqv3aYGPCRSu1MI85N5/XE3tMtBWLcNv/c61+h9QfPxh3xetvqnSfG9I4bn2uoppE7jja0KYCU/lsSAaTE45KPqVTUOkt6X+3vK4Zn0ofIn97+gt5966bs7fQenGwzigN6l0QXWWPxFLZkQ5QOuPrblA9C7TwxljltML2vF4JQU7kgkWGQ5g/wjHqPi7PTvQvQ5w6e1etfdbH+3WXLGwqm7zo5Hm97cnvDzLbOTbd+41WrNTKVq9mPS998JvXZ+FlH7ViEY2k6S8TbvqWpItrp7UkHKZrtu2YVDk7Leu3ZfHHqqwv+V3Pt6n367Oq9idtccfV6yxRMzOb1X/7pUT2equNT/jh34V/8vP7+3u167MWheN+uJ7iTK6QCSEHpeumKK1fqM4/sqfr8hoto29K/9RfRzspA8gJIVYpjX7C0X8uX9OncVE6BtRUzG12744IlfnLDZRcs1Uw+iIN6RqUVuguh1chUTr9y3VPxNrlrOzcI5GcgSdKvfuHp+OfZQhAPALnPMh+E+syjyX3IV/Da79AWA4Z/8LUNGvbOs+66113PlgJOSvwrlQYE/embb73+Gd2yvjiNz89A6tUFexpFAKkHVJrq5A4Ol21UTwClUjAqzkCStPtU8WJw6UCflvQbzWZE2/0pbMYUa01kNWD+RXdWarMkfeuF4/qlz6/T/VtPlG+v997p0fV0E9dMACn9HNe5ch2qRAHdeQgmVTo5++9zfHQm0cEcmSp26KtFtU+NzepHPvqo9pyqfiHfqKzP1I0quO35q29u1QfuLaZ6VyrC5zSSReP/vS6I2VIGUouN/LNdxQAAIABJREFUetYUhSyP7x5qKYPjzORcYlvdJ1bps7v3heP6qU8+3lR9KF+uEGomH8SdF3/FrGoXEu+9fbP+x2efbOjzPTYynRhh+os7XtB9W46XPW4sVZPJl7hIjzZ6rxfImisUi2C//57y+gf18Nszv9Milbc9s/mgbCTUz0BqdUW4WuIAUh1T2BJTvaL2eSAKCrvPsdYI8yO7hvS5x/YlVmDJUjaFrcpx8fCOU/pPr7k0cVt68CJZRNskLriS2RZeEW1rFYbFGgqu6Lbbd6qtApqu85ErhIn2e3ouyKiT5PaT8syPZA2kUK++bLku9qbgHczIkvjAvdv1hTX7y273/d7NG/S2G9ZXfUw1rn/xGz/yGlmrOJBXb0vtsmHcxX493PG0/fhYw+1WrhDqg/ftqLsgu5RVA8nP7skOEpUX0I8GzeLnJV8zfX4Y6O+TMaahTC5/O3OFUGPTxZpUbkrIRUsHZIw3hS2VJZDehsRKpoHVL3/+Kf3GDaWit64r9tT+M/rWC6X21+2zg+cqr8xXKbgQZ6d7/bzx2YJedtHShjOQ3IpL6SyMfMFm9jcvj1Z9kqTHXhyKL2ArBVPSbfZIqoj2gLfyWlYQYNXOU3py7+l4hdpWDXjfZ2CTRbSXDJhEEe2yoFqV7LNqTk/MJfYTv59bLYA0mw/0xqtWa3VUMPiZA2e0aueQnj9UOyg8lSto/9Bk4vM/NRb1c+tsD06NzWpirhDPwKgkPT3p9ueO6g++vtELSNSRgZQOIKWmC/ormWVvQ/I9asWE/OuxerKdpezs40pT2LK87MJlOjtVrIGUvkZzv7opbMujYJS/37gMosnZQikDKcqoC0KrXSfGEwN8btsujM6BL7kwuQiSfz6czYdlGUhbjo1q9YulYtWXLB9IBHzzQZiYwrbl2Kge2z2sF7wAp7s//a877uIZOaGN98tKx1Wjq9ctBgSQeoAf9PE75EFYnBLg9ud6MiSygkHF13KR19Jr9Pf1aflAf2bgwr2na2j6+0zmiFAi+BUmO2COO/k+tP2k0mazMpAq/JnNjPKnT8Iu0yLr88jPQ+FA672EP4JX7bXrOYE8tOOkzk7ldOuzhyUVL8bW1BiZqUdWp8llIGWN3o/WCCClO3JHz07r2xmBQyk5EuV+no8A0sM7TpYtL17rOVJ9HZsgtPr9r23Ur3mjJ42YzQf62U+t1TeePxrfZuPRkex9ZGh8VhOzhZaLr2elQDvVit0+Fa0akz7+Xjh6Tu+5dZPef095LZU3XbNGb72+dCFz35YT+os7tiQeM1cINJsPK3b+/VoNrm3xA6hzhVDDE7P6xvPHmioE7n+e7viMA0jeIbl/eEKv/8eHdeO6Q4nn+8dHo8HLRvZRqdQZq6eIth/ccH+Xy0ByH+mp8bmyqdOJ1yiUOnHVpPfJ01WybM5O5fS2H3lN4rayDKREACm5tHY623Wgz0RTPoqfSxBavTKV9dNMEW1nKlcou/hwUxuyFozwLwbzgdWS/j699mUXxLdlXQit2T1csU7Qa16you7R6Wrccft9r7pY3/XyC7XpaPH9sjJuso7FpQPZ06CqKU31szX3obTHdw/rlvVH9LEH6s94SgcKEquweXf5f54/gu0/rlIvK91P6u8zMqZy2YAs/vvNFUL9yhee0hce3x9fkPX1GV2yfEmpiHaqBz+bS34H/v7tCkRnTedaue2kPnjfjnj/dvtEtelE05UCSN7gojM2k9elK5Zo6UBjASTXf0w/Jx8WBzvSt7/CCyC96tLl8TZUyh6rNYXND+i4YzoMrTYdGdHZyTm9+9ZNeudNz+tN1zxe998kSR/59k7947d2lN3uB6xCaxP75kBfn/r7SgGeatMVpfoLXb/xqtV6mxdU9Lt8laawBVFGyemJOR2O6s08srN4MV9PQHhqLtDEXEEnvcCby8DM6mfdv/WE1u5JrxhWPAbqHZwpBDbRXrusuWqlDdzXnyuEiWuZuUKoM5Nz+r5/eFhS7fpYjU5h++2vPBsHietp4y9aNpA9hS1RRDvZWBRSg5QvvXCpRqZyCsOsukvFG9IZSP535QJIE7OFOODtPpd8EJYF/N22Xbi0GEC6LJWB5JvxsiHdZ5nuW/zI616SOD/lg2QGkhu88vfp9Orj6cEed7tr242pHIz2M5DOFwSQekAuKB2kfiZAYK02HT7nPa52Q1qpcXeNib96zECf0fKl/WUXErP5IH4dd77r7zOZy8/7J3h3wktHt91BuiOq53ByrNRp8d+71okp12AjXdym5HPiUYnUqIXU/JxyXzyKaZKjO/mCTRSEzVLtPFKailL8Qq5fu1+ff3xfaxur7IsC9/VlXXxVy1SRyhvf69bs0/+7c2vmY6dzQXyiajaAVBwpc6NFxVo277ltc90BHj+jqp6OkdtfG7n49+0fntTEXCHz+ZUO71L2SXOrGTrVPttqgUF3MeYf6+sPnNWvX/+MHt55KjOzSJL2Ras8VTohZxWxTryvn4EUfTh+BtI7vvKcjp8rfo7NBNfGszKQCi4IXjoav7mhuIjB1sHkhXC9q7DdueGYftPLICkEod5z22b99pefrXtb3SBDPX9nIRVokfzaG8Xftx4b1fu+mX1cSqV2odZ0hfQ+VZwiXLkd/YUfeFXi91pFtBMZSImVz8Ko6Gx0sRPtv+lpY1PVimhntPd+h3w6FyQuPozJXgEpa4S7EG3fxctLbX55sMzqzGSuYmDmomUDet1LL8i8rxprrW5Zf1ij0zmt23daL0QBo6UDfXrJBaXgRNZhl70tjQeQckGo73r5hZKkt3/5WV3prT5VS1y3q+5nlD/WDwSWRpuLFxzuoie0ySLataawpffVgagGV0Pb6V+8z+V15Oy0Dp2djqeESNIlKwYqTmGbyQeJ/c0PYtc6J43PFuKMwloZSGFoNV3hfOiXN4hfeyavS5ZHAaQG9hN3vKX3Lfd7+qL55ReVAkj+FJqKU9i8lx3oMzo7lcyQ9Itau77ibc8d0f/64npd52UGNhog2HF8LDMwvNQvop1RA6lYRDs7gJT+XBvJ9vaL8deTgVQIrVcTpnicuGyQSoPUPlc/a5+30uPQmJvCVr5//Pk3XtDv3bwhcZvrkzy4/aSuuHJlzRUdg9Am2m83WFwtA8mdF3NBMlg5MZssu7E0HclNaaZm1MhksR5RPUW0L12xJHsKm3eMLklto/94a6WXXLhU56ZyiTbQccfyaLUA0gWlAv+htTLGxANTQWgTGe1S6dh21z2XrUhmIPmSU9jcsZ/8e1/3sgsTvxeC0JuKZuNZAf4+7Y6lE6Mzms4Vyopuu/bY9RMuXjZQ8bhaXscqd4sNAaQO8gMx1SQzkEqNpLWljrFUXwcuq3GWvCVAvdfo7zNavqSv7Dn/7Z+f0Puii36XWpzuyGRtkzvhpB/qgg7HRmb0xScO6Kc/tTbuGPgN/vqDZxONffp16hnZ2npsVH96++aKJ+E4yl0I9YU1+xO1X5oJIA2PzyZSw10n9KJlA5rOlaa9FMIw0VlplJsu476HuXwYXzy3Iqtj5D4zf/udRjOQthwbLRvZd2byQXxymakQQDp0Zipz6qNz/Zr9ccc5H4Tx31PvFDN/5aZ6MpAqHV/1ctNHs4qRV+qEVOpMN6paAKpaEW23T+eCULc9e0R/f+92rT94Vn1Geut/+Y6yQGPZVK8KF/Huu67UwXP7zPbBsXgu/N6h5JK8Lruhmcy1RA0kNxKesS2uQ5IOAPsFmqtdNP3tv23T84dH4r/HtelDVbJ1ZnKBNh0pTRVw7WQ9GUh+BygdePa/moerrIbjzhc1M5BmC4kgST4oTiX71+eOZF7QXnZBshOZPj/6F/FGyU5xOuunP8pAcqPlkuIpbE5WG1Z6vfLb/e2ZmktmIBmZ+HtIBOkyprC5Gk1u9FXKWG11tlBWZynt0iqjtpXsOD6uD963U3991zb9w7d26OtRDYel/X26cNlA/DdkfS5ZfYw4m6hgdfPTh/T47qGyx6QVAquXX7RU3/nSFZKkO6IgbD1cG97IsupVayD5GUihjS96CkE6gFT9PTJrIJnG6v75j3XZP6PTuTgDSSquxDZWIcg3mw8S2+G3vcerTEdzXDDR7b/HKjzHn+qc5m73L0LHZ/O6ZMUSLenva2g6rzsm0s9xx0S6vfMzhvJhGE/xq7wQQ+n2l120NM7Scvwi2u4zcSUj7ttSud9Rze5T4zoxOps53TiZgZS8b+lAsT27a9Og/vqurcqli2i3WAMpCK3+4o4XtMUbCKk8TdHGfc5CaPXC0XM6E03/m8mF+ru7t+lv784egCgEYfx9+rUTT9VZA2n1riFdceVKHYv6t25a1M4TY9WepkJoE21sVlHmNNcnn/OmsF12QfH48883S7y++6qdpxKD4MX3aG7w2aq+GQgXLx/I3J/84yZ9fZE8dqxedmFx/w/Cyqs7xoHr6LiYzZjCNjFbiCP2fg2kShlIF0X9g3QNJN/UXCF+b9f3SPd3yzKswmQR7awAkpv9cmYypy+s2V9WiN6dA12//pIVSyoeV0u891860NeRRY/ajQBShwxPzOr1//iw7tqY7DhlXUgno+bJ5VL9C9Z6ViSoNC0h6wJpoN9o+UB/WYPud/xdQ5NVsd9tkzMZnXDSj/SDNDeuO6RcIYwvZv3tvXb1Pj2445T88cQg42Komif3ntYD207GaYzlAaTitrx4clyfWrVHK71pdc1MYfv9r2/QX36zNDXHbe4ly5ckRkTygU2swNEod7HpTiK5INTwRPVpKPXIvGCIOi5Tc4WyTo6/f0rFgN3nVpcyofzva2I2H49AZX22s/kgPrmkM5B2HB/T4TNTesvn1+nPv/FCxfpU67wlaPOpNOR6+KNas3WsrFAtY+7MZHbQav/whK5auUvW2jiDJit1vNKJK99A8KCaatkr1Tp1rsmZy4d6cPtJrd41pD2nxnXFyy8sy/iQyoMplerQ+JkQWd+vG+n+n9c9FbcX6Ys411loJjvLX0HMdVpcO+n3r1xHOh0om/ECY/UEt10GpzuGqmUkfmvLcf3GDevj/dPtd/XUQPKPadf+xFPYvMdVu/B1+9yLJ8er7hvjM/myaWOHzkzpA/fu0G988Zmyxy/t70t8trWmsC3tz66BlA+KAZo+Y2Stjc8x6W1Jj0qn70tLZyClL9rc51+riHauUMxAutD7jtNttWsvqp3XVixp/Jzh2trTk3Ma9kaFlw70Jfa5rO8/fSG09dio3h5lyk3nC7r6od264/lSnyZXCHX7c0fLjl+XIeaWpW+EOwYbGXBJn16yprBZFduaUt2OMDsDqcJhkd5XXQ0u/2P8uX9eW307vce64M3IVC6eEiIVL7RcQD8dGJmpFkDKCNimawttPloMHrhs7sEKg1DVMvfS+42binzpiiVaNtDXcKaalDGFLXBZt8n2zv84gsDK7SKV3tPf1OVL+jU6nU8Ef7OmSbv6L7UyXrKMz+b1i9eu0/HRmczzbaIGUmgT/fklURFtSbp702BmDSSbsb31Ojs5p/u2nNB6byEU16dITy0uhDbeB4LQ6pFdQ1rSb3TRsgHNFgJtPz6mOzcO6tmD5Yuq+AMr+7wBH9eHrbWC1dUP75ZUHjDKGnTz95t0W3/gdNT3rBLccZ+3P4XtFRcv09hMPlHjcGmUfRKEVu++dVPcJjqtzF6oZwpbxQwk7+9dkrq+SB/DL7mgmIFkrVX6UsRtwt5ogNNN1fazEC+LA0h5WRWvDf0aSMNlGUjJGkjpwSOpVFT+1NhsfKzet+W4zk3lyvp06QyrvDcwXZzCVty/XJ/wwOlJrff2z0NnpuIs/7BCU++u27Kus/0BjZV/9lN1r57XywggdYiLtqZHPLIupP1GIFkDySY67/mgcmfYqZQhkTVK2m+Mli/pr5p54Y6ZSnOAEwGkCstp+llU8QVR9J7pot8nvU6QkUm8fj0dk1IUuxS4cQpBGN/vLub85WOzLigKQVgxMCBJR84kR/Bcw+M66q4xK05pqN7g/MntmysWa3RzydOf38nR1oo7ZnVC3Gc3nQ/KsmLSRbTv23JCn3ustFKC/xluGxyL97esk/hMLoiLzJaKaBd06MyU3vIvT+lnPr027oxkZZgUglDbvaJ9+SBMpPRmsdbqkw/vjjMr/IyqelKz/f3VP6FvOnJOb7xqtfYPT5Y953dv2qCvrDukofG5OANp0uucuE+mUoewlIHUYgCpSvChnuyrXBDowOlJzeQC7R2a1Pe98uLE0qZOuo2qNMrpdxCCjBN2PUXt3ahTM1PYJjIykNx+6jdhLrMy/Rn5Hcx6AkhuG900igurBJBGomKXru1pZBU2vzOb7nT7H3O1sQi3zxVCm5j+kDY+ky8LIro29URGW2aMSaSCl19M+BtVeQpbIQy1pC+a8uFl6r7ay0CKsxsrXLDUk4GUnsI2mrGyT6UMpCX9JhVAKn6mdzx/VNc8vFtnon1345FzFbMsmync6S5SJ2fziX02HUDK+v4TdTOsTQywHBuZ0VwhTLTFNzxxQH9/73Z9KzWNNR8Wa0D5GVhZdp4Y03/4h4d0wjvvu898oMa0EV86qJGcwpZ8XJ8pfkaBtYl9wNUvzGqLpGLmha+0Clvp8VmF0ittpztO3EWd6ze5WiVSeZ2bmXyQqIPk1ylKDzZK5VlmZRlIFQoUT1UtPl+6aJNKgfhLlg/ERbRPjc3qcI0C/MXtS25vafuzM5DCVADFDwBk8R//PZdfJCk5DT9RpzJ6z3qmqhwfncn87B70VpqcmCuUncP89iy02VPYStuT+kxCmxm4rlc8+Oh9Vu588tqXXpDo4wehjQd+hidmddfGY3rT916uS1cs0dDYbByc+NjKXWV/oz+tcu9weQZS+jzqb09xWm/2OT2rfMKoN2OjEIaJzKATUd+42vQy11b611Yvv2iZRqdzib6hm3ro+gzpfnchDJuqV2dt+fVSlmIAKSsDqfRZpgPuyc+1mIE3lQs0nQsyi2g/tP2kHovqqrpjwT93unPZbCFahc3UqIGUd1PYolXYLizPQHIDRH6trCNnp/Xe2zeX9VfLA0g2bqutLQWw3HWoqxHrFu4YHp+L21N35KXPG5esKP6NWceW//7pbVmszo+/sgst6e/TpSuWlI1iZF1IJ7IavJ9DmwwYpQu9ZalcA6n8ffv7jFYsKWYgvefWTXrz58qX4XYNzUCFAFIu42Il3Tj5S8C6IIrr7KQvNt1oXOn1k39/La5zmzWFbWwmH7/2dEYAKStAddemQf3Mp9ZW/FzLOq7Rry6zZtpLAy6OmJcee/RsOvgkPbkvuxiwO6m6NGL3uWWNOv7h1zeWZb45hSDUZx7ZEy8LnT1loXTySDeko6mT+OhM8UI3LgTtfR6usyqVMhp807lAF0cj1O7zHZ/J62c/vbbsselArCTtPz2ZXMY4tDWPj8FzM/ri2gN6dFdx+o4f3ExfIGTxj0//uB08Ny1rSzV6Htl5SjuOF4NbbhutbDzC41/YxwX9KnQIc3FnurwDEYRWv/PV5+JC19X4GTdlf1fqIntsOl+2z49M5TU0PqfpfHG++uUXL4tHa33poLDrUC5PZVP4F6JZ7VOlCzmfu/BsbgpbebFFt//4aeUuAJb+PPyOcrXAvmsO/+wbL2g2H8TnhGoBJNdxKwWMw3hbagXW/A6zu0CqNgobhFa/ecN6ffWpQ/FtuaA01adSHaQgtJqYK5Rl/VS6KHX8/aDaKmx9JpmlVVZEu99NYStluX6nVzPIpdxXyqbI+hxnU9kdiWyF0Hp1u5K3R1vvbV+ogb6+RIDVfYdX3rNd1689ELflUrEGSJqJBnga5Tr16ZoUS1MZUVm7kd9+hlaZgx7+sZaeNjB4blqj0znlC8UBkwuWVd/+2549olwhjJfqttZqV5R50MgUtjR/d/eDKMXR9+J+UwhtYp9y5/JKF+ZZNZCMaaxWk9NnFE/RGYmmsDl+ACkd5JzNVc5A8p2dTC6J7ewdmtDkXMGrgTSTOdr+/7P33VGWVNX6X6Wb+naOk3OeYYYZYAYYhpxRQEQRxfRTDKiYUMyBJ2afGcN7+syKqKASBclpZIgDM0xkcuju6dx9U1X9/ji1T+1z6tzuHnUt3wP3Wizm9q1b8dQ++3z72982sT3IdAFaWujVMRHta25+Dm//+bpqu0iYHtvRe6eDCCoDJ5CxZtVOnmGI42c34zeXr8KFyycBUJlFnEU6HuZbEJWBHf+FvyrC1GTbu2PQLAyBQc338DhaF9H2HFth+psYSP+IZifNd3Svebc/x7aUUmSfMZBuW78fPcNlvP/0ucimHNy18SB2dA+jIedh/Z5+3PGcWtJK4GNjzpOd2AplX8aOWw4OKkklHtf0FypyO91/mUq+eTy6u2cEF7LGHeTLfv7ITkWP6tdrd2L61Tejd7gkQWrqwpZybDTmUugbKSuAFQF/FEPpsUzZDxMMoPHaP6aBxCtKkgwdbk0RgNM1WExIknQPlvCxG9djyaR6LJ1cLzqSaowurlcaQrCW3HFoIEkRbYMGEt3Xvdo6Zn/UOIab56rnXPEDBczuHIwTMt+/dyvu29yFWa01aI6u+8BAQb4/koGkvULEmDUll7hf8MboePdisZfGVf4vNao55WbS++AvKXcIQSiYJinXhucINs5YIEpVAMmAwju2hXSkgXTbs/uxwdCmlya0akASP59BCSDF3/MFwOy2PN68eoY4z2jxrdP6+eRuWSrwMJ7ypD6N+s2dKJ8QiNmyj01Kq794N/72gtqidHvXEAaLlaosCt3NELKtM5DKvsiYc3BtzZfvTuyvmq4RTZTEXpAAkmH7OzccwFU3JEVLK36A91//FL751y0yY2wuYQvkd7oj1RlI1PaTNuPB99+YALzpOAWmgUTvSTXaeLeBBaYvbMuVIAFehGGI6VffLDV0iHJN18XLK8fDwuH7LxjYSDQRXv6zdTjvWw+I84qu/WB/UWbhTIvasRhIpjF4cKCA+zd34d2/enzMc68GsqQcGz95eAeu+OXj+O49W/CWn/wNSz97By79oUrT3rhf+Ac/CFEsi+A9Z2AYcB8UBKE877SW2eWLA5N/MgXIkxqyymfKXI2ntAsA1m4/hNsj7R/T8U1d2GiRpi/WhsepgUS1+0/u6sU37tqMB6OyS8rMHRoqSbCRjMYHZUHJTwbh6OUl4hri+zYiASQ188bthe4hrH3hEK7583OyE07FD9CaT2NCfaaqDhIF/u11QtiWsonVdFXonnJQZDQRbcsCzl82EVeeOgdr5rYmtJ1c2xJdi8K4Be9ENj7qooC12iLb9L6NlNX5jG/DA1pd0BtQg1EqsePzZbUSttGMM5Bofn5ubz/29I5UBRIJ/OT+wrbEAkNlIBnYp+y6/MBcdq2wpKN90Ly2+ot348yv3ydL2EwMRW50Ch+/cT22dQ7ihnW78auoRO6fzUAKQ8gW1q5tIQhCZV4ZDUAK2RgjExpI1uF1YWNlUhQ7FcoBCmVfvh+NuRQGChWlTTXZSNlXgOtqQteS+cz8alttGkEIPL27V9Ee6jSMQ3pnTItbuk9hGOLZvX24OGoQIAEkP0DPUAlbDg6OuyNbUjBaZSDt7ytgZ/ewWsI2LgaS0HNZObMZzTXCT/FnPlzyccnRU8Q5RDsfLRlw+7P7pTbSgf5i4rx17cU+LeE2qgaSxkDSm8aUfZUxR2yKU75yD75y+/MARFLyZ4/siI/Btqf5juaq2nQs1m5bKoD0owe3SyCoa7AEx7Ywv6NWKSk+dmYzAOChrV246rdPyWdA4OPSKQ0YKFawv7+ggD97ekfwxh+tjc+L+VUe/+mAEQEUB/sL+NZdm5XSZQDY0V2d8XbRdQ/JZ/GjB0WiZH9/QfpnEtFOuTbqIw0kHusS4yTuUqbGPRX/8DVO6cmMt4TNNI+pJWyjMJAQV8V0DRYTx6xEcdrXXrUU2ZSDB7Z0SVCfjHx5sRJEzKl4PVjxTRpIwqdR9zJTFzYTA4n+roPHupA578LGS+g27OvH52/diEe2deOEOa1yvCvvK/kw7XwoZhibgfTiL18D/g0g/UutqSaFQ4NjM5BKVUASqunNuDY8xx4XgFRt8jMd13VEhnM0jQu9hC2fUR0nn0Bp4uDOqY5t/5f3rcGJc1sBxAuH0RhIQRgq531YDCTqqsR+zycECrD02O+uDarT7JbCgYfHQKLJmII9CqiraUmRVdMkoOui8UT3YreG3OuOr1QJcLC/gCAIcdUNT+OPT+2FbcXgh2mRTs+0VAkSnYp6h8tKwExaDQcHCrjkBw8r1N7HXjgkHa1pgT1S9hMsjGogjomB9NRuddFd9pMMPQINvxt1VHl0uwAI6boPDZUZK250AKl3uKRswxeEFOju7hlJ7IeeydMRSFCbcZXFXTjKwgWIn7VJ54cC1tQ4MiLVQJa2CAC4+el9eGBzl7xHpJdBxruSjJT9CEAavYRtoFCRLLyMZ6PiB3jrTx/Dk7t6lfNZ8uk7EuC6SaNlbnte+bxHYyCFYYgf3rcNB6sIVH/mT8/iS5HGwkChLIMS2YUtOgf+LMiv6T5guBQv+kwMOzIOnF13z1a5QCYg5aLrHsJ533pAea9iBlLcbIB8is4C1I2fOy0wdfFIbhv3xWUGV93wNA4Nic5gnmtjZmtNVUCI7nlz1Bkp7dmoTbtKa3DOZKBgk5dKjKqBBAuuY+N9p89FQ9ZLsIHcSIOGumnZljrf1Ed09GpsClMbbLVkPFCOqTDmDKUknDFX9kU221YAJPV44wGQMuz9uvC7D+L6x3bhnG/ej+O/8Ff8552bEtsfHCjg1d9/OPF38g/c31Yr2SYLwtDoV/h9oAXqx29cL1mQB/qLUQmfbQSYq9kXbt2IHYyVS+//vr4RTL/65kSbb276pSiANAcdohI2J2IgdSoAUrSNtrPr7tmKb9y1OfF30YUtHrP69yZgiTbRBWHLftyFrSkvFlp0K1RlAAAgAElEQVQ9wyWjBhIvLxuuMrbJf/Dfr4wW/E/s7EUlCNBWK97b3T0jKFWCRPmmuMbk8+etsz9w/VMxozIVl7ANlXxUgnDURT2/P8kOYzTnibG26vN3Yc2X71ZL2HwGIFXVQIp1kprzSVmJkZKPbMqBa1ty7HNWEmealP0AL0Tj80sXHQFA1fgBkgCSPufyRXBiPEWMSnk8gy4Uj8fo2W7rGpId417734/gEzeul8+P+yQOgFsWUJvxJKPGsaHolT20tVsBEDrqMnAdW7n/tP1PH96B367bLVk+lOBYNqUBgGh8oUszPMYYQZyBdIh1ydP9I831Nz25F1/9yybs7hnRuuiOvj7Y1iWeFe9MSqCPqO4Qyfr6rACQek0MpOhc9ZbulSCsWqUxlo1HRLu+SgcztYRNfVeL2jtB458AQd1edsREzGmvlUDJ+5i2KwBkI19eLPsIIUpuyT/0DJcS978Y6QC21WVQl3GNGkjEKtJFyV3HSjKQHFsBtCtBoHQuNpVGnjCnRcbPwsdRIk1YooQtGtMm9jsHkMbqyvdisZfGVf4vNU5FJjMxMaoykCINpLTnRABS+PczkAzHdWx7HACSGvTXjgYgyS5s8VtOiG7KtRVKPl2nzhjhk3ugUczLfoBn9/bhg799qupiW9dA4tfNsxXVAq/Hd6qtV4nxUw3Y0P0MBdRUmhVrIFFXntEzsqa2umU/wGCxgrRrRzXMFRkw6QwknZ3w3w9sx2lfuxfP7OnDH57YgytOnoUZLTUywDQFXlJQOAgTAWzJDxSRRGJIPLe3H49sO4S1jME1VPKxdHJDdA2mbL+PmjFKHMj4uLh3UycO9Bfw1K5eLJpYx84tTIwnClxoAl4bgSM0fnqHS2irFSU4P39kR9Vx9eSuXiy/5i94hjFFVKBEjLs9vSOJYInu4dMRk+PIqY2KiDYdsaqIttRAijUMqEyIjjUuAMnAQMqnXQUE2tE9XFVracP+AeWzYyNRYkN0dbIDA7FeQsZzsKd3BH957gDe9cvHE4yojdr+TfdjeovaypXOlQLhPb0j+NwtG3DZf69N/PbgQAHP7u2XQUR/oSJp3bLTVDROObBKmT/dTw4VK5IeTde4dvshWXtPpi8WySh4oa4//L2iY/ZIBpJgBAHACV+6G79auxPXP7YL7/7VE/jxg9sRBKGx6wwthqijj2mEbdzfD8e2cOMVx6NvuIzP37IhEv23kHadquUhdM8nN2axZm4rvvva5WitSyuA057eEQmy0VxCn9OuLejwzIkqXdhYsOg6luJDykEsou1HfkosCOJ7TRnXw9FA4u+0r/k/PgeYurBVtMWd61gKo+BwASQLqh5LoSy6IJL95blkN7SfPPSC1PfjRgEvTwCJEppQKe/QE1h6pnVOWx7DpbjlNX9H3/LTuA1392ARrmMdllaEY1toycdZajoGdWH6+SM7q/5WB2v4kCXWXRhtZ1ui/bsfhOgaULveVvwAD2xRy4G/eNtGfJ01iuDna8GSY3astutAPL5NpYk0VJqicdszVE4kcEZKPgaLZg0fAFKPjMYqH5PttWnMbKkRAJIfYkbkS3cdGsb533kQ8z9xm9yW/NnHz1sg//aOn69Doezj+chPB5qvT7k2Uq6N7sGSZPmYNAHJuJhzsoRNnLc+Z/FXthIE49JAIr/DS3ju29SJMAwxXPaRSzlwHUu+x3TvJjdm0ZCNx+NQsSKf8ZFTRVyjCz0nACStbJyzVPQx60SMSrJkCVuoaKia5keaDyWAxBlIDKhxLCGITX/TGUiA2hF6YoMYV/w+Z1OOcSFNCSPSntneOSiZ1ybmBr9H3Szhrl/elkgegOaXwWJFqSoYq0ut7NbL7iEBINSFLeXYaMh6KPuhEltvOjCAnd3Dcjzq7y8liA/H6PmPq4TNAL4AKmimM6A4ABmGoQRHBosVYxc2isUpXtHnkZynMZAQrwuJec93S/fzkqOn4O4PnmS8P1T2pzOQPMdOPE/PsfHg1afgo+fMF9enddHUzbUtrJzZbPQN1RomSA0kze9S0oGfy0vBXhpX+b/UTG1DTYwPlYHky4HqRxpIGU8wkEoGhoVuh0PXdyzR5WU05J4cggSQ0qoj4+f+QtewFFcjo0kpHb1wFBATcq4DHoeGSkzgTA3Cyn6IG5/YgxvW7a5a6tSvaSDx3/NsBbU21u3p3b3KxE3HufaWDcqiYcvBAWw+MJC4r+SXGiOHL0VXo4z5L9+6KnE83k7bxECihfasSASSO9s9vWIyDYIQQRAmOl49uasH/YWK/M2aOa3IphxjgEn74SVsJgfNgTg6Nxp3OniyeFK93JdulP0bj209OIgPXP8U+kbKeMOP1uKsr9+HjfsHsCZitAHAXzceSJSJ7O8X97M+52Ff3wh2RsALnc+h4ZLMzOzrK+APT+xBseLLci2yF7qGEIRQFhdFrdwFEBOpXs9N4+bp3X2ozbiY05bHoaESbn92P3756E4Z9On32g9CfOqm9bh1vRgftN0nblyPE750NwYKZRyIAtZdh0bw2T89J3+7+cBAYoFqYjDVZz0lUNvbZ2bAAUiUuJoYSCU/UBbK9z7fKTPmHEgp+0EiuH5CK5UyMZD0EjaykbJY1BJY8PyBARzzuTvRO1zCt+7ajP19Bdz7vNAX43pbJOxI2gkSSGJBJgXjiS5sZR8T6sX5ED3+kzetx7W3bFC248Hmne8/EX9612qsmtmUCGw4a0oCSFF5mx+EaIkYAwDwkd8/gw/d8DT+9NRe/OZvu3DTU3tw3Bfuwr6+EcUnHYzGx72bDuLC7z5oFJnf31dAW20ay6Y0YPWcFmzY3y8DYmIU6PZC15CkrDfmUvjpm4/BCXNa0VabVv1Tz4gMtmJx5xh40n08f+I8yPVsW2GVVKKSYCcqReLlLGS0QB6qMieafBtfEIeheWHamPOMDCQ92eHaKgOppPmmzgF1DjPS5jXdh6d3JwHsh7Z24bb1Qry3WjabAOY8A+zDUGTzL7ruIfwpEvF+grEO/TBMBMqnL2wHwJi+7B3lcUR/oZLouGcy/o4LHZY4vtA7CFaCANf/bRfW7VDLzOlaqu2XfxcEcQmbH4SKjwxC4Nt3b0mUblQz1xbXV00IulgJcPfzBzH96pvlvEjxEflCKv8E4k5IBHR0DxblOCO2UKHsK35cT2xNaxYaYMR85uM04zlYNrUBT+7qQckP5Puxu2ck4dvJ5526oB1vOn46AODW9fsx/xO3SRZOEKrPPOXYsoSN4pgtBwfxowe24xYmxk523b1b5b+/9dct+PQfn5WfySfoc5behYx8hA58/nXjAYRhiCCIE5qNuRQsC/jqHZvw+h+txe8e3wM/CNGQTUmGPxBrIX7wjHnKsams0LEtzGrNoyblJBoMjMVA4owuPSTSgYSkiLYaj+kaXkAMFNNxq5Xg2raFfEYHkNTYns/jNO8qJVOOpTC0aF8U009pFMLcnYNFWY5G8T/31b94NI7F91dhDgOiKcNAoSyTZ8OlihLTj9U1jwAhinl1AJJK2Og+8ERI2Q9x8fcfkoAo7465bschdEWA+eEYPZnximibjMe7Opinz6v8axOARGOTXjE9KZn2hL8jDSRYMWi1J6o8mFgfx2fFSAfPc2zJUtaN5seBQkUZSynHNnRhszChPovFE+M1hR4jNjOh7uVTG5FPu8aqHF3HjayaBpLOxBxPwvbFYC+Nq/xfak01KfQMl5Q6ZHMXNlYWUw5kcCEZSK4j2qNWxi5hq6bVYwKuXGIgjdJ9SjKQLHMJG3dSD2/rxq/W7lKCWKLM0wtHToICjyd39aKFORdewuZrE2SpEuC5KNCpllWWGkiGErZDQ6NnKOi8eEkHZUTueb5TAXpO+9p9OP0/70sE/eSQJjUKR7q3bwR9I2Xct6kTxbKPBRPq8ObjZ8jtf/vYbuX3+/sLiU44FHzObBUBHwcoKKuy6vN34dxvPZB4/psiijVR9XMpFznPTWijkJWDQClhM2nTECgWhqH8NwWsOhW1NQp89XFL5ZlZz8G89trEMXS75Zl9+N3juyWDqGe4DD8IsWxKA254+7EAROnEXSz4v/LXT2B/n7ju+qyHR7fFCw96bj1DJaU2e0f3ED5x43qc9fX7lQw/BSpcD8ZUwrand0TpPrW7J9ZteP7AAOa118ps59t+tg4f/cMzcltd4+WKXzyuAJ2UkXlwa1d07mUFdKDafgA4/T/vw+lfu1e5hyYNpIacp4zh0eQ8ShW1k6BtJwGkQknthHfbs/uZiLYj3/tSJUgE109rAJIJK++ozyT/GFl/oaxkzQ4OFPG7x/fgq3/ZhCt//QTuYQBSseKjWAnQVKMGZrL7WOQ3wjCUYE4Muopnc//mLjTkPNSkHPSOlHGgv4CN+wcSOmEEiH/5lUdgdlseSybXI+M5icDmV2t34rp7tuKBzV3ynj28rVtqabVqQVhzTQqvWD4JAxFAXCgH+P3je5R3mtgCXYMlPLGzN5HpA8ScQUB/bcbFYLRQSrk2PDcJIPUOl3DSV+6ROmuUtQOAttqMMp52945IbQYKFmkcTm8W/mz9nn7ct6lT3m+TuY4ln0kQhKIduxMxScJQMDy1FdjsNgG4D1fRjDIzkOKx62sMC7LmfFplGzEBdrr2SiRCrmogaezIftVXmliuo5U3kA+/9IeP4u0/Fxpo1dYitLjgXdFCxMkI8msfv3G9/D6Ikh5kZy5qx7wO4avpGeo6TGnXlswDHXwyijWzeZw6o5EVIx/xpduEvkv/SBkfv3E9fmZI/ugLAcWnadtRNtlPlLCFkg04HnMdoYFEh9Lfk1IlwC8i1tRTu3ujY4iYiuKh+R0xg5aeHc3zG/cPwA8CzO+oxYNXnwLXtjBS9hX2ql6eSaBQgfkqsoxnY9mUBnQNljBQqKAu66ExSqyQ0TMi0L+GsUx0gFbXhUq5VmIRu6VzEJ/983N45y9Ujb71e/pw/+YuXL5mJgBg56Fh/OLRHfJ6pIh2QWcgqcCtiYH0owe2483/8xhuW79fPm86/8ZcSsZID0Xz6LTmHDzHlu/xSLmC2W15XHDkJOXYg0XB/PaiUrMFE+oUBlLFD5SmHECSQZVigLA+Zi3LAg+3xtZASvqntEcAUjIpxRkd1KCA3mPHtpQSNkBNkFGihcf7nmMrCUBKotDYyWdctORT6BwoYn9fEbmUI9c/OZZUoQQZUF0DlLTgNh0YlOLzg0VfZS+NBSARA4mxjGMNJJGcT7mxbptJg+kbdwkmIr/ui657GLc/e8BY7vnPsroqABIf9/r8V1bWESpoZDpVKeUQzYFvPWEGjpvVLL93LAtp1xbzWBiVmEfH/NVa4eeIqQaIUrexmDp8/DaxONzEQCKfSXNSxcBAmtocN9G47NhpAMzJa/oZfwVd25LPVd+vfr/+3nLF/2v2bwDpX2jNNWn4QYi+kbIMtKqVsHUNFrGzexjFigCQHFsEJjEDSYho6wwL3arpPZiYS44tSspG67hBwBEF/3V6CVtFfdEe3d6tTIw6gJT2YiX/IAjx4JYurJ4dO6nBYkUG2kEYKvsvVgJsiMCd4XLynMusvKpiKGHrHR59giHjZWzdrCZ7PBpMdO35tIvGnIe9vSO4P+qsRtkV7nt0posfhEoW5rv3bJULSMlAitD+uoyLfb0FISA3UMSGff3KsyyUfalBQJmxbMpGJmIghWGyRE3QpClDY6aI0gJ5ONI5AOKgQWcgUUmCPu5p4sh6Dq59xeLEMXiwalkxk0Lv8NSST+Oo6U0yQ8bFiG96cq+8l/m0i0e3d6M242JCfSYW0R4uo4nRgzfsG8D9kZbHW3/6GNbt6MFwqSKz0rwu3lTC1jtcVrrPXXSd2qllXkctaqN34guvWIJXHzVFfsc1We6NAMvJjXFGhwJfEsIdKJYlo8pketvb/pFygkJen/VGbXOrA7W0gASEb9Cp3CNlX96XU+a3Yd2OHmyLFmUpx5YLjrIfJoLr5w8kS9j08TelMYdq1j9STvgy0m3qHS7L97BQCSTg11QTgzIh8zc0XouVIFHacPMz+2R786znoCGXQu9wGfdGIIiuEzZSCvCaY6biYvas066NYlnNKP/w/u344m0b8Zk/PStBK84M4OU9ADCrLY/6rIf+kbIE5m5Yt1sBzXXQQhe6BMS4Ij+dTwt9rrIfSgaSXn5K2mOU8eXZ0bZaFeTa0zMiO5actkCwV+iSp0UA0kXXPYTX/yhZcsjBEM4QoOdBXbCCULw7jja2yV9yzZiuwSJO+eo92N41VIWBpDIZTNnLlnxKKyWJdBXC2DcSg2tKE8vIlgN86664FEpnm5qSIqPFqabET7XNYwaSWsJGz65nqJRYMPlBqAizfufS5RJsl23mtVs4uy0v26W7jgp/mQA77gNCqImuUsXH1+7YJEtbH9/Zi5IfYNDQYl7fNY9B1H+LhbpjCRC/a0AFkPTuRLotjcAxQMxRQgMpmawCxLtHu+MZb9uKn8f8CbE/JSZCe10GkxqyWLezB5UgRDYlJAyynoORUqAwSfQxQ+8U+Q8+xjOeo8wnrm2hrTajsGYIeCDQNZdyJcvg2JnNWD27RW5LCU6ylOMkBmC1ErYf3LcN+bQr2U2AuH+/f2IPvnP3Fvk89XJq/pzLfvy8eGy241AU8wwWEwvnJsZQ2NYptpvRUiM0kAJiIPkSsPj6Jcvk9oPFSpREEc9u8aR6PLe3X8b2vazLL5metOEggw6o2palgJ3GLmxK6WyQeP6kt2diNXOwRZawRX+z7WQJW8HAbuH3mcYkWe8IxYVinzVpF621aXQOCAZSR10GCycIwJTGPzHy3n7iLNSknISmJ9nyaaSnNCBjwKHoeZD1jAEgkV4Vb5ihaCBFJVcU0wQh8LpVU3HCHDHmZ7bUSB9GY4A/w8MVVqbfjldE22RqCZvGQNLmLv4emPwcXRMBh3PaapWKCTtaLx7oL8CPnpsOmnUkGEijQxCc1d1YwwEkswYSELOeykGSgTQt6sI6v6MWL1s6EYB57RtXucS/z6Ucue7QY2KdsTUe1tiLwf4NIP0LjUpjntzVi1kfuwXX/21X1RK2oz93J9Z8+W5Jo3QsS2ZA064jS9hMAW0fWziZwCC9owCZ61jIuMkFArcEAyldXQMJSKLCpPlDrKqMSwwkHxv3D6BrsITVc1qVfcjgNFDbsu/pHZHfnfX1++Vi6BXffRCfvGm91lUpCdiNRnG9IOr2016XlgDScKmiOGgT7VM3HuBMbMhib29BTvJffuVS5dwAVcCW7ImdvRguVTBcquCH92+Tf58VZdSpzGhmax6VIFQCf3r+KcfGloOD8nwoSMx4TlS26BsD+oofjtqFDQA2HxzEN+7crNxPChr0chFil+ljjBbj2ZST6M4FCK0NMlqQAMkOTxTY3HvVSajLuAlK+TNR5rfih3h0+yEcPb0JKdeWgVjPUAmNNSkZGD+zp1eZeJ/d24fP/PE5CSpx48Ezp9tSOQiQbEU7r6MWb149AzddcTwuOWYqWmrjSZO/SgSY8RI9mlApQzZQqCid6HibVZP1F8pSF4asIecl6r256WVwSybFCygTA+nsb9yHN/2P0EI5f5mYwH/72C75vdTeqgQJAGnTgQGF0RCEYYJRd8Tkenz83AW4/0Mn41MvW6h812cAkJ6Onv/zBwbQX6hg0cQ6+EHcvYVTnjnjkcY9BThNNSkhKh+ECgutJu2iLuuhb6QkASTqaEJWLPuJtr9p10HJDxSAGgBec8xU7Okdke8Tf/1aNXBmdlsedRkPA8WK1HTb3jWEtdu7le04K0Afj4AYR+TX8xkXAwWRaXdtwZTQ55wnNXF1nrluq9MApN4RuLaN1bNb8IWLlijfTWtOgoGKiDbXQIoYI0Ac3LlR16IgIA0k1T/T/nuGSzj5K/fgl4/uxK3P7MO2ziH81/3bxlHCVg1ASis+osz28+i2Q5h+9c2RBpKNC5ZNwv+86WgcP7sZw6WKUraji6GbAKTRphwjC7fKDyQDmL2vQRjKhNSh4VKiq6Ufhsr4cx0bEyIGILFWdAbSnLZ8nDTSFg8mbTXuN/tHykrgTgwk3UyMMr27oIlVGUaaT7YNOA6VsJXkHBWGauLC1LHwvafPxVVnitImAjAHixW88xfrZDk5WakSgO8NiAEsujdz22rlI+NPbtnUBjy9uzfqhCe+ocTPYLGMrCeYQXpZ7YwWMeZ3dA9jW+egAnSmPQet+Zgh4Dq2XOCT0Zw+WPRlSRot3DKejXecNEtuSwlOMs+1FJDCsoCtnTGARGydPb0j+PPTe3HpyqmyMxrZJ25cjy9HHcUAkwYSZ+DEJUg620IcX+hT8TUuB5C2dw3BsoApTYKBRDpxI+UYQFo1sxl/eOdx4p4QMzO6Hwsn1mGo5OOFKElnSlDqZTj89dSFeh2to19SRDvJQNJZi1K/RpawJZNcQFTCpmggJZPD/N7TGOD3OeXaSgKpd7iMUiWQQvg5z0FrPo3OQdF9tr0ug/9+w9E4enoj604cIgwF87Upn6raRGZ+Rx2ynoMHt3TJMTdUrKDkx9c/GgNpUkMWT+zqURrDCJ2/GBgrRmsvzi5qrknL+e3MxR248tQ5AGKgm/uZw+kayW086wqdHQYI/8MJBTqAxRlsYRhqSVlDCZvW8EZf69mWBd8PcdOTe+EHodBA0o7JQUi6n6MZj5P4u2lbVsK30Rgk3SR9rZlybLRH8xMfl8bEf6j8D4CI5cjX6rHBWImFF6v9UwAky7LOsizrecuytliWdbXhe8uyrG9G3z9tWdby8f72xWz0Qjy8rRthCHzod09j88EkYFCs+HLSK1YEYGTbcYZHaiBVzCLaSz9zB1ZdexeApPAZff/EzmQrZse2lIDSZFY0gmjiqNaF7advPgZHTm3Atq4hZZJLlrDFQmwPbBELLp7VAuKJgFoxkul1+tQx7fGdvfjpwzvU9sIBlRXE56IzMvh5feis+Xjf6XOxfGqjBJC6tQ56cdvd6iywWBjPwsSGLPb0jMgJj7KXyqRueF7v/tUTWPjJ2/HR3z+jLDJmNKslbER158LOtL+UaytjrTMC27KeIzKZZd/IhuMlbOWKWQPpmj8/h/+8c5NkYQDVtbeonlwft7T4yXqOUVCUOjY05jylxJF3eALiSc91bMyfUJcACR+JytZ2HhrGts4hrJzRJDvwlCoBBooVNOZS+PlbVuKT5y3Egf6iEohs3D+A7VU6ydzx3AH5vAcLFal71V+oYMW0Rji2hYtXTFZ+M7e9FrmUi6VRhxIukkvj4r/u3yZL27jmDy3A6J3a0T0k9SiAGGDgC7V1Ow7h94+LMsn+kYoySQNAfTalvK96mYLOcFo0kQFIlkrlvub8RThr8QT5efGkesxsqYkp4yxjXfID9BcqStBTKAcKC8kPwgSN2bIsvOWEmZjSlJPi52T9hUqCnbBZy4AfH/kaAug4oFZhgDUBjJTtnBJltjjDChCgXUPWQ/dQCQ9s7pILD/7eFiq+kqkFiIHkKwHzO0+ahdmRSDHvZkjWopWwzW7NS2p716AoEcilHPx6bQzYubalsBwODiQBJKWELdIMGCmJjjQpx0po92zviu+pq4GI/JlMbsxid88wKkGAma01CaBYB8QAddHO+SuOY0mghlhinmPLEjZezjI1elYUAG/cP4DtXUP46B+ekUFoqYpv477dD5DQjMqlHNRmXMWfcQCWi1x7UZv3k+a1Ies52LBvIOEnOeilLwYta/QSNhO4NRYDiT+rIIgTDj1DJTyzpw+ObUngNwiSneomRv5obzQ+9QzwnPZa6Z88TQPppC/fnQCc+KK7b6QsfcW89toEQ4/MlCTTSZTVSth8EtG2LPQMl1Dy425kQRgqOib6uQKiBJCSG44tugA+uv0QbnlmP7546/PKttTGGlBBLM5AmtiQjdkF7F7NaqnBnp4RjJRjTcyMJ3zGQEG8r2nPTmhIUpOBb9y1GRdd95DCvku7tgLwphxLAEiDHEAqYrAokle5SC8r1jCz1fGjPfuUYyvCy7Nb80oC7vKfrkMYhti0fwBBCJy5qEPx/xMN5ck66CgYReLfZT+U9+wrd2zCB65/Kjov8TfbEufIF8ucxdk3UsbE+iwyHoloRwykcqDMa+QbB4oVlCuxLhhpsayPklYkkcCBmNEAMH14cT0tcX1aclbTQOovVHDil++Rn3uGSnJcXXvzhgSDl4NZjm2hJu3K4zmWlSiT4ttzpg6ZFzUxkMcfLuO9v3kCP3tkB1KuaGjQkk+ja6CEfb0jmNCQQWNNCifObUUx6vpHAEjatdFUk07oR5JNbMhibnte6ZI8FD0PMn2sWOw9O3FeKwrlQGicsuoEWcLGNJD4XN2Y8+QYy3kO3nf6XKFf6FOVRHy8wy1r4uN0LDN1MNOTOzobiD+rEFD0+Exd2HQGks5Ic2x1vSIYSOp+1KYR/pisLH6OXErCxK71ZKwfsYQ0jdbW2rQs0TaVjvOEBr2HHLBVGUgaO/AlUrKm2z8MIFmW5QD4DoCzASwE8BrLshZqm50NYE703+UArjuM375ojRZrvLuQ3kkk5dhKrXHJFyVs1F2mWAmQcR14rqDwVyujGhiFgURWqyHKjmUpC1iT0QRBwa0utEcBX23GxbIpDdjRPaTQbOmFliVskoEU4P7NXZjdlk/omnSzgObPT+9Tfs8txcoaAFWAr6wtBAGRiW7UHDEFLeQ4lk9txK5DI+gcKCYyGpStGY3JRG7HtixMashib2/c1p3K9/Syv2p245N7lc+NNR7Sri11K2ZGweLjrIvOvmgCTrk2nt8fL/QOyhI2B9mUg+GSb2SeVViWq+SHRsYc2SY2rqtpR9Bz04MhzkDS2RlAvLBvr8soGit6lzpOkdVbvNNxbCuuf186pUEI8vqhpFwTdfYIVp5A9vz+AeNCFxBt7295Zj/6RsrY1TOMJVHHOQB4xfJJePpTZ+CKk2crv6EuOW/+qksAACAASURBVGRpdu00GX7/vph1xgOHgYIojaIAhxgvv3jLSgWE5Vn79/zqSXzmT88hDEXJmA5CCBHt+BnrelTPaYyuue1qCRv5g7MWdeCyY6fj86+IWSYZz5Gto+n6+CK5f0RlRDm2hT8y9pbO5NGtWSvp+s7dW4yd5rjR/SfWXlNeZSARoEPvBommnzxPMMGGixXFX+dSDhpyHp7Y2Yu+kTLOWCTKtAhAqvgByn6YAEkp+NsZAYB/ed8aXHXmPEyKNARMwLLue+e05+Vi5cYn96Iu42H17BbFbwmx1/j96TSIlA5yBlL0/57hkihhMzBU+f7rsp6yQOMlbDNb89jTMxLpAcXj/HMXLsY5SzoSAvqCIRJ/5jGbeGfFfafy5VzKEWUfoZpN/vN7VuORj5wKNzr/zQyUlHo1vlnfjS94AwMDqT7rIe2q+lU82OSMPZ6RJsaZbu3MH5BODjcOwLTVphNdPHmCRd+eGwXPfHEUhqEEXIdKPp7a3Yc5bXmpe0HAHLd82kV9NtbN0b8XALk4RohQYSz2FyoKQ3T9nj7s6B6WC5X+QkU+41zaiZ5Rcv55anef9H38Wrgp56Ut2p2oCxuVW5OQdaAxkExTX9Zz5L5dW4X3dH1LwUDSdIMgQMFUFHe116Wl9gdfjE9trkEQAju7h+W4psTPQLGCfMZFxnOSJWxNcZfKnuGyEqtkPEdhXJoYSF+9YxMWf+p2bDk4KP0GLdwcx0KOa2hp98dzbSWJN39CnfL9nt4RbO0clEmCfNpVfMcrlqvJFsCggRTEvsQPQgXkuysSzuZJvNFK2ICYpejascbaSKmivCf5qHEMMZBI2J401l6IYh9i+fNj6OevCronF6kcQE9qIAVKHLXuBbVj8DHX3inj6719BTy5q1eJ31QNJEtJBptK2Pg7RPf8pHmtyt+4T+scKOCWZyI9o+inLbUxA2lyBD7XR+O9f6Qs/WjatdFck0qIkJNNacxiTnutEj8MlUQS1BQ/AiprZ01Uhvbo9kNyPisHccOfr/5lE4ZKotOxAiDVpGSCgOYrXk7NYycOPo+nxIl+O55tTQyklKZPmGAg8bkrVMEdEx5CvydQT4839PO0YCWAKP6xWD68znQNDMA0NXaiOUwmgTQR7dbatHx2/O90H3g5eQzox/sXDCSzb3mJ4kf/FAbSMQC2hGG4LQzDEoBfAzhf2+Z8AD8NhT0CoMGyrAnj/O2L1oieu3FfPywLWDGtUdFHAURWiTvhYjkuYQtCkRFNeyITXNa6sBlFKQ36AGRJRDmpYaIbOR3KnOqOjCikjm1hRksNhku+ooND2UiKrVzHhmtb6C+U8bcXDiXYR4AK0BDrqCWalLnDSrm2UprHgRRTZ5ye4VICDKAuShJAimqtP/2nZ/FjJkoMxBkOnZnEF/mBDF6EoNxAsYKuaHua3E1BcTU7Z0mH/HfGc9CSTzMGkghgeBtmYqQcGirhe/dulc9clrC5gvFTKFVhIDGQUs94ASqtlbNFuBAiN0+jxW46MIBfPrqzKgOJggG6p211GaX+W9dASikAUlKM27EtnDyvTX5uyHmSgdQTZQwpgF84sS4xUWzaP6BMbPokvbVzEL9btxsDhQo+eMZc+fcJ9RnUpF0ppk6ml5Dxa6d7zXVHeMa3v1DBf9y8AXdE4t73PN8J2xIthac256S4KgdR9vQKEff+EVGWpIMuDTlPAQjmaCDck9qiltgdQEyDv/XKE/DN1xwJ3TKuLQERQIx7vuDpGynLYNuxLayZ04Kbntgjv3/bz9YZS67IdDBs7fZDuOnJPVW2FmNNfx/4guqxHT2yPK0SCL2J363bjSMm18ts8+7eESU7lku5cnzWpBy87AjB3njZt4VuWSF6l4wlbJVAMrymNOVgWRYmNVTXeEprIPrstrySNc54thTRJZs/oVbxmZ2G1vGDxYpcJOUzsSYOlbCNlH0s/ORt+NnDL4h9sCBf12bgDIeZLTU4OFBEoewrwfVrV07Dd1+7IpG8KPtqyRQPWF3HirSOQsV30OKQd9Spy3gyKVGTcrCJ+Smuf2FkILFnayrhFQCSrYptB4GcVziAxH2F/uzIePLkQzc8nTgn5R7YFr74yiOU7y/5wSPy32EYjtmFjYN2fhgqpe/P7O7F0skN8p5SaaBuE6PECJBkocxtz8uxXiwHeNVRU/CW1TPk9/duihkEP3noBWQ9Bw98+BRccvQU9I2U5fFE9xw/scheNFGAEm/QNLP006TyoG//dbMCNgVMu4NAZGLN6RpIOvsKEBqCdI5OJKJNpidbSlwDiY4fCAZS3IUtg9roHeJPjoCN7qGSHNcSQCpUUJsR45DiMtsSvkzoJZnHAImiSzFa20JrPq0s1h7aKgDJ5/cPyLmHFlU629DEQFo+tTG+hqakLzvnmw/gC7duBIBE+fMrNbau51joZ/qhgJhDaAFZ0cZn73AZ3UMlJQbjItqAqnkHxJpRShc2reSYgJbBYjkS0RbfiRIuWyY5iE3HtVz0TqN8nOr3z9YYSBwAqM96ODRUVvyD3rGMg+gAIh1VxkBi52JbltKRkSeDTEZx1rdes1wCrp4T+8GGnIc7GTuIwNSmXEosxsO4sQzNGX0KgOQkwD1uU5pySnLLtqiELUiwewExthpZg5CO+izmtdfikW3drNFBoDyP/X1FpBwb2VR8DxtzKTlnkO/kiWtVhPnwltvkXsaDTdBY4+Y5tjJf6SV0enzPT2+0Lmz0TPT1ov4b24rLyeJjxNuU/OCwyvpq2NrCVJ5NWoqyK6cfKrIPbbVpWVHD3yy6D/SuA0xEm22nMJD8UEkImBhbLwX7ZwBIkwDsYp93R38bzzbj+e2L1hqjDj8HB4poyqWwZk5rItDJphwlo00i2nbk/CUDKXJausinbqNl7PXyM9HFZvRrIJ9BmRR9AUpsGtuy5OKF172TE+KZg0xUy1woB1KgjpspaF0SsUO4boZrWwrYtIfRX4eKPkZKvlrCNlRKLDqJkk+Ux0UT6+E5Fm5+eh9u0hhABCDx66tJOYqjlZNCVMIGANui7WMAycwi0+0T5y3EmYtiACnl2mjOp2T5QEPURYWXsOktiI+MArrOgaIcV7lIS8HELrp/c1fcrcLQhY1P8rrekMko8CAn/qXbnscnb1ovA18dQKLgoj4bMZBq4xp0x7YSGkt8YTqnLQkgLZ/aoICGNZEo6J0bDkhRZWKl5VJuYh8DxYpkV50wpwWzmWYFIFrWrt/Th/a6NI5gDKSOOvHsPcfGxmvOkn/XJ2W+sPTZwoQs68XblyoBfvrwC/LzcMnH/I465FKuFD8GVOo57X9Lp1hE60FaQ1btwsYnWSCZ5cyxoJMCigUT6owMwbTnSIBWXF+g+IFKEMrzsS3gwuWTlQ52XYNF3PGsGZgE4q5kfG5/irU5160+68mxRgt9DoBcd88W1GVcXLBsIip+iOsf241tXUN418mzpf7Y1oODir+uSTs4cmoDGnMevvbqZYp/uvLXT8gFeqKEzRMMpB3dw+ioy8jzmtdRi2Mj1tZMDQzibLWmmhQ66jIKoG/bltKFBBDPhrOZdDZRELG8aG4ggHio5MNj+ifDJR+fuEm02dYZSNxaWQnbrKjEthKEiUATQIKBJEq54/PjIRtl++/acCD2HSlHzl+lSmAsIcilXGXOpUVZqWJmt/D51VSWGwNIgTzXShCiNiPeQV4mzbOv6SpZcp19yxeFlgUcM72JfbZwXgRQAsBVZ87DfCZqv/PQcIKBRPfEMzCQSpVAjs99fQX0DJexZHJ9DCCFYWKRCwhwnOYgk8g9+XwhIm1hMWMhEZjTPVjETU/txUUrJqE+66GxJoXe4ZKcJ3JRXKS3Ej9qWiNMFiJUFlh+EGJr5yC+cscmZWEbRiVstm3JZ0Wgp9AJSfpjDshkdAYSu9/6eOIi2nQfgzDuwlabdlGTdkG75/vS4xw69kjJx2ChjHxazJukB3Xi3FbZNYyeMZ23rkNJ813Ktat2tRwp+9Kn08LN0QAkfWSkHBtXnjoHZ0YsTD3eBFRQRAeQprfUKCXf1DGNzxmFiFEsGENBAmDcfCDWfbRgyftN1qzNf6QZRZ1RARHT8vks5zlC60rTQAKgzLs0nng3KZ0Ry/2bnr/TRbS51tfc9jx2dA+NqlcKqPG/rnPJ2WGOHTOrAAEumFguZBRnZVOOZLnx6omvvWopTmR6jXSZPLlKyREFQJLsfDvxbLhNacopya3ajCdK2KoASHUZDw0ReAWIsb9yZpOSbNWTCCOlSkLXSQBIYpscZyBF6x6uY3W4ItqHw0ACkowgvXpF1+nRS9hUBpKphI0YSJT0Uu9rQgfIspT4+0dvPErZb7HsI3UY94Sza006d7GIdryO4ve/vS4ju/spnc+jd4b7VJOIdk1K1UDi66Px6FS9GO2fASCZ7pzuxaptM57fih1Y1uWWZT1mWdZjnZ2dpk3+z1najcGF1to0jmfdxsiynqNkM6WIdiQaWigHSEcaSAcHivgm6+JiCoD1Ejb+IumiaFTDP5rR9/Se6Z2AKOCzrLgtM++8QYE/L3HKeDY27h+Aa1tKiYs4J/P5ULtbXo5R8gMcGuQAUhx8v/3n67DoU7epXdhGygkGErWdtFmQNqs1WQoFxBTgb/41fgZN+ZSyOFIZSFl57WnXlhNFosa6irXXpZVgRdSJp2RAlfZsTGrMSoe/bEpDossSZQGpmwsdvxKERifN28qXDW0yRztfk3Hxxf5CGfdt6kQlCCUgWZN2pbA6EAcXFHi0MwbSgglJgGisErbVs1uViZAL5f3HzRvENbHAxVTG9tSuXkxvzuF/3nQMlkyqUwLEQ4MlPLevX3YXIePtTPkz1Gup+bnJDh9sPOlBth5ALpsqQKt8pF1T9lVx6veeJlhR9E7qQVp91sOFrF3xdDbJzm3PJ7KcfJFeDXymMrG0a8t3gK5P1w+LASQLpy9oT/ioOzccMB8Eon2851hK5mo04wDSD+8X7EI+vh/ZdgivXTUN9VkPA4UKvn7nJqyY1ojTF7ZjSmMWnmNha+eQ4q+zKRevPnoqnvjkGThzUYfUIAFEF0ASjtX1f1IR/f+O5/Zj2ZQYeEy5Nn751pVY+7FT8d7T5yq/4fu48Z3Hi25SvOQmCJUSFkB0Ixmt++QwlSZH95ADnCSiyy0IQgW014VX6zKuXMjPZH7UNQSSeuBfrARqcMB+ctaiDkxtyuE792yNy189R75PpUpgnDtq0sljAKI8xJSA4ZpHpixoQ85D2nNk2RwAKXSszy0c0KBnp4NcE7SS1p3dKsNy9ZwWfDliHekY3OtWTVO6ap345XsSAVc7excB9Z73FyrY0qlqhB0xuV7eR78KA6mN6eZwd/Sli46AbVuyVJveE+6jH49KPa9/bDdKlQBvPG46AOGXyn6I3uEyLEucZ8kPFIbxLVeeYAQlAAHMKL7UD/HLR1W5gDAUCR7bspTn0FaXkfvg45RCB75wy3qOjHlcLX7SGUvFip9ghBEDatnkBqyJyoHofvNtW/Np6fslAynlRLoxQZR4iRlIr105DZ84b6HcDhDxwLlHTMBXX7UUN7z9WJy1uEO5Hte2ZXymW4EBSLRwFAwkNaHBzbYtuI6Nc5YIHTydDakb3xfZJcfEnSqbalIIQpWRXij7sG1Lxsf6+NxycIAtzOP7TaYnQClh4tq8y6NaemPbFvIpFwNR1y/uE2vSbqwjNlyKGCz8HUuWsAng3zUwkFTGEAf+57bXYrjkJzol6saTm4Wyr/g43rDB0UvYrGQJGzelFCm6n55rSX/aVpvB9163IgHwcsa1iYFEgH06So7q9uM3Ho3XHzsN+bQrY6y3nTgzAu6EDINJxzWXdpRYNeM5WDmjWUkKCAHv+P4MR2Oe+8iGnCeBBAnMulVK2JiDHg/cEIu9j2NjmJOPHGDX96MKy4dqF7ZRNJC+/ZojccKclkSyMYEfQYz/P7zzODz32TNxyvx2Zb/j6cLGLcfiuF6DFAEBXMTQL/tqmdlrV02V7x53C9TpkeuJmkrYcmlXJm8FAz0JIOnx+Ivd/hkA0m4AU9jnyQD2jnOb8fwWABCG4Q/CMDwqDMOjWltbTZv8nzRasLXVZbB0SkNCwyDjqdoIUkTbEug2ffYcGzu6h9E1WMS5R4gJ2hTc6Qwkvu+8hmC7drKGVTf9a50CTPsn0eiUYysskQUd6sIaiIPp+RNqEwtGvcSHbHXEVHpP1AUBEA6KZ8N1Ab4gVDO6YZgsezl/2SRccfIsRR/qjEW8bCx+hXgJG92Xppq04iTJIdmWJWu+d3QPK8HtR85ZIMHEpWzxCAjGACBaoJ86v10JVlKOWvOcdh3FKf7mbavw1KfOkO2yAXGPaxhwJK5JbfVazUqRfgu3hirPR7cvvfII/ObyVTJ7ee0tG/GXZw/I8UJBYU3aUWiuDRHziMrG2uvSaIjeoaOmxdl4Mg7ONOfTCYDkjEXtSkBXk3YSVGM+Uf6/E2ZAt6GSj/pcCo5t4f2nz8P3L1shv9t5aBhbDg5injbOObNlNAE+EwOJv8NjTVikMUIgylCxIp/rQ1efIjULJICkayDlPHz65YtwzfmLAKgMJC6YLa9ljCwWAPzhiuPwrdccCc+xFcCZlx+R8RK2bMpJlLSOVsJmWRaaa9JIuza+femR+N07jkvQvHkGtD7nJb6fpS2gXnXUFLgRuHNwoIgPnzUfliUWRtOba7CtU2Mgac/Hc2x8i5Xz0bPQGSj0eahYwfvPUIEiyxLttZu0d437AmIacYHsih8mSiYXToyF5U1aEVT2qDOQxLVY0DtpXf6zdcqiRC9ho3P3HEspdzQFkvr5FCuBkl7i48t1bFy+Ziae2tUrWZa5lBO38fbNAFJWW6TSgq5UMTMwOcA5XK7OQBLnK74v+4K5ogNIHHig3/ASHyD5PuolumKbpEYO7VPPEutXROUmsmyJL4wt4GmNsTevo1b6qyAMjULSrbVpdA8WEzoRR88Q/llv+Z3SfNxDW7rw7N4+TGvOYXbE+CQ/cKC/AM8WwOWB/oJsvQ2Ie+9UKRMJw1ApiRwqVXDDut2J7QhQoLHi2JZ8zwKtUxEBQvy+51Iu5kSlNMfNalYWivp4qjCRZ0VE27bw1jUz8Z1LRa8ZSizxx2tZ8fsj2R9RCRsJxqfdWAOJ35Yc0538zqXLcdbiCThqepM8Dr3jrmNVBXmCMH5nKcvv2GoZTbXGGS9fOhE3v2c1zlzUoQB1kzXfZPJHHCSncc+TYoVyANuy4DmilFAHgbccHFRiMFEyGJ+DviieLkvYRLncjx/cjq7BUsJf5TNuxEBS9dxqUjGA1DtURkMu1oSjfXKjkjq9vEycL5QXeJDFZ/MipuFWrSkEGS2uBwoVGRMWyuoimMdyll7CZidFtE37B2JwhJew1Wc9ZFMOPneh2mmTz7/UwZHmjN7hMhPRdhJri7Rr4+T5bfjs+YsBiDXUQ1efgqvPmo+atIPBYjnBQDprUQf+6/VH4R0nzsLrI3AaEGNt5Uw1ftQZLGGIBADYWJOSQEyWaYJRHBsyDNWUJBnNJNA5zu0TDCRNA0mPMzkDUv/eFLrR3HDc7Bb87P+tTMyn+mfax5FTG6XPURhIhwkg8VhK71AKxPOKZCAxBtlfP3Ci7NQHqM04PnneQmy79hyZKABiJqDKQIrjiSBUO4DTZT189alY+7FTx31N/9ftnwEg/Q3AHMuyZliWlQJwCYA/atv8EcDro25sqwD0hWG4b5y/fVEbTViteQE0HDNDdWIZr0oJWzT5FSMGUk1a1LZ//7IVWBEFoab22zqAxD/rItq2lQSQdF0lPWjVF+hlBiA5hhKK+mgC4b+jrLA+YZj2TzapIYsXvnAuTlsQ69kUK4HSmc3UweFv2w8pn02tsK86c75CI73y1DlSa6G5Jo33RSyOgaJwaoWyL4Gu5pqUEiBLBpItwCqabNIay+aaaFLUx8NP3nQ0vve65fjRG49OtLi3LEsp0wvDmBaccmykXbE9ZV4WTqjDa46eKgNecq40QZpaJAPANy5ZhveeJoA6Xfh1vAyksxZ3YOXMZhl4dA4U8flI+wCIhdJ19kidZCDFwOvLl07ENy5ZhhWG8gV90uY05/96/VFYMKFOCTBSjp34DQ9y5nfU4aGrT5GfJzAtFUCUnBzFyko27h9AJQglUHLrlSfgG5csGzctOc3OjbqmdA+V0JJP4TeXr1KCmfqsp4CDlgVZAkrv9s3P7JML7IacJ0WNqdxQD6Cba9Ki89KRk/Dhs+YrbBh6B8hqWI04UJ0tOKE+i5ctFaU2M1vzuHjFZCyYUIeKn2w7zBlIABTB9PFYcz6FlGPjvCMmYsW0Rly+ZpbiQ+YwgMjU8S+fdvHVi5fKz/VZTwFReEZ1VmseWzsHFQaSKYvO7zFljPVAit7rS46ZatTuAuIS6Pg3NtZ+9FQ8yMZnXcbD914nFqJ+ECqAzo/fdDTaajMSxDIdh+YHeg+5f3QdW/Fbp8xvw99eUP2padHRVptG2nXQUZ+RQLupvExnIBXKvtaFTbVXrpiM1to0rrtnKwAxd9K4KVUCYwCvA3ykA1KtCxvP6I4YGJoNuRQDkMS2fhAYGUi8JOTYWc24YNnEhMaYHl/zrofESCHA2wQgme4hNypR0oFAALjk6KnK54wn5hAKov3AnKRqyacRhIJxoQrtit/RfEhzB/19enMOtRkX927qxIH+gvStQMwCPdBfgOtYoizWsROsU70rHlkYqoDEju5h9I2UlecfIowW8HHc01yTkv8OAnWcUnjFmUVp18ayKQ1Y+9FTcdGKycoz0edKanUtji1ML6kCYoaPPnqp5MLRRLQrgdC6ybAubHyf5OOqabIQk8FzRtfApDHjS8aVqvlkej8AEadQ8oH7D65FSNvpxs+H4sOLrntY/q1Q8SUAo3dhAkTXTYphBQNJTYI2JzSQSETbxlO7+/CZPz0HIFmORKVqQgPJUv5O/vXQcAmNuZR8jnUZTyknB8T5WJaVYBsByRK2QY2BBADbqjQr+eO7Vst/k08uVnxjCSog7p9SwmZZitajbnz+oscmACQxNiiG0ruFURzXkk/LZ9tg1EBSS9gc2zImkyc2ZGFZFlryQvyd2HhkCyfW4bSF7bj4qCnKeMu4Qj+UJ1wFg0Xdf8q1JRDtORZqUnHJKh2HayDx+3s4YAkQA7PjLY/S2b66BpJeYlb2AzRkPUxuzOLzFx0xZuw2Vgmefp4mvT19t38vA8lktC86T6GZKO5hSzT3UrzMXbEVlSzzhJbprcimHOn/RTOhpNRIfc5LdP99Mds/DCCFYVgB8C4AtwPYAOD6MAyftSzr7ZZlvT3a7BYA2wBsAfBDAO8c7bf/6Dn9XzKaBKnO/ngtw57VGEi8hI3aSmdcBx84fR5uePtxOGFOa9zGUBvgIRPFJBtmoto628e1rYRT0ONFHdXWaZSEgJOfMGW07vngSbjtvWvkZ2KZ8MXOsTObMbstb8gQiZeenAcPOm59Zh+uu3erZFmYMmJcHwgAVrGSua+whSM3x7ak9lB91sOVp83B6tktGCkJjY5iJZABb1NNSnG8cVZBOC3SgNEZCDNb87jz/WtwFmM7AQIw4a3Q9RKSL150BFbNbMKlK6di/oRamWHmvpxYP2vmtsK2rcT9oXGgi4EDYnI8bUG7nOx1xsh4GUg0mfGFS9dgUT7fbslAUscTjYmlU+qxdEoDlk1pQH3Ww/nLJikdnuS1ahPUwgkxa4bGKk38toVE2U+NBtIBUBY2FLiZgAIg1hWok2V2dTh/2fhl3njW/LN/fg73b+6EH4T40FnzsXJmszxuW20aT37ydAnqTG/OYdu152Byo3g/aDx+7A/rceeGA2irTSOXctFUk8KiiXVSHJUHaV9/9TJZ9leX8fCOk2Yp94Zrl/z4TUfj7qtOGrOOXjfHtvDli5fiiEn1sgsb9yHNEkCK7scYov66teTTyjvy/tPn4muvXiY/v/n4GRJke37/QEK42bXVOn5avJJx/zeztQY7uoeV0gITQ4wHvgcjBpW+gF8woRbz2mslOG0y3ReKNtwZJQgGYi2LShAo91YHXPUOe0AMOFAZ6cSGrPS5KcdW3q//fNUyPPrRU/Grt66Sehc6AwkQc10mKrumEiqTmGZae9bFcqBQyvXhlfEcRZA5l2IlbH5gZKfQ+0PjjEDzsh8q2We6Xg7A6GAnEHdhA2IAqRKI9u+teZ2BFD+Lk+a14euXHJnwV3QKbz1hBuqzHnb1JBlIND6TEhRWQkdKnwPp/ps0yq44ebbyd/KTdIqcYfT7dx4ntyOgrHOgqMQgdG15CVCIzzT2M55gGN67qRN7ewuKPho9n4MDRbi2hTcdPwNPf/pM/Pbt8XEB8zMBxLyr+46mmhSWa+9AEAqfRH6utTYtfQ+BS2QEHNECMuPZcrxRNps/Ex3MUNkNccZbX2TJYas94Li8Svw9k3IwUgokAynjOjJe436bQJtqizea/+laf3P5KrxyxeQEG5rGBoGIOkBbjYFk2gcg/BGV2XH787tX476rThbXyOIkUzKxUPYFIzSKj00AEv0pCJOsMu5TJ9TH2nPHzmrG6tktMeBtYiBFmjsKAyntSBCvd7iExhpPPsba6DdcRiGEYMDZtmXUQOKABGcgzWrNw7biEjXbEudP5zu5MSvnIgIadA0kbo5tKeW9tmWhsSalsKu5KQAS4tjuzccLf0xjSp8PKOHImbF1JgDJs5Vn05D1jK3ryTrqM9jfVxAMJOYDdZCFjOLvNXPj9VfFT2q8pSKd0LRroyGXgmVZKGvjX+jRJjWQTEmS0YwDneMxXaMq5drKfKknnEqVAJmoScHLl04chwbS6HCB/rXpvHVgKuWaL2751IbE32pSjkyGmczT/FqZNfmha5MMJANwumxKA373juOi0tgkAynl2Gr59hh6Yy8F+2cwkBCG4S1hGM4Nw3BWGIafMDZPjAAAIABJREFUi/72vTAMvxf9OwzD8Iro+yVhGD422m9fSiZL2KKg63WrpmmdtWwDA0lkVilYyngOpjbn5ATPWw1yK5SDBAA0xLJEun6A4yQZSNUyFmQ6oEQt5QnYMQFI01tqlOwssZLqGdvgV5evwp3vP1Fpqw0AZy+ZgKaalLE++6Gt3Vg8sR7ffe1y6cz0jGzZD7F4klgQzm3PK51B9K4f3GhCpIkn5YqyFprwaLJrrkkpjlcKOEbnQ1o4+sIVAGa31Y65YNYD/1Uzm/Hry4/FtRcugefEky6nssaim+K3lImhcj7SPVi/Jyk4fPSMRtSkXXlNekZ7LF0Dek40rvRJ6YyFgkFDZTW5RNDvIRuJL990xfFKm+u2uiTyr2dNrjxtjsw6u9qChp4Nn+gbDUEqBylJpFbXUtFtNAFKsgUTDOWcGrD4tp+tAwDZ9SsnMyohrEh81XSeJ85txQ8uWyFLPKWuhmUpGkc8SLvgyEmjMqVmtcYdlVbPbkFbbUZ5/0crzdPNiURKC2UfWc/B5WtmAkh2QdTfh7GyYhceOcnYvYfs7CUT8IPLjgIgQEm9bMKxLSVTn3Js6S90m9WaRyUIFZ0a07hQGEhRxzJPe4+Pm9WC29+3JsFa4aZnYHXART8H3qEIiLW0CHCaqAFPQFyGxfdNSQ7HVsdbXVa0Dj92VrM8pmncn3fERFwUteSmY5vENJMaSL7ahc2Q4eTlxdmUIwWIq4lo03lSOQyVlJgYSNRxjqyaiDbdE2LDkAYS70AHJJMtgBq4v/3EWTITSk0XdhpK2AiAMQX9OqNCB/xpQWcC8DrqM/jh64/ClZHPyEigPabx+6G4Nl56xwGkomHeOXFOK9572hx8+mWiLJbGftq1sWZuK/b1FbCnd0QRcKZ35mB/MTFn3P+hk3HPB08CAAV04haEyfcj6zmq6HMYAzh0ri35tKLzqDCQglD5v0mslz8Svdzb18qn6Dx1n0vb6E+XMua8C1uhLLqnurbKHuLHkeLXVXwnjUsa3ytnNuMrFy9V9O/477loODdTiadudC4fOmsezl82UZmLyBZPqpfMdZWBlJybi5VAPD+HNJBUFKZzoCh1s/wgSNzvxlwM8JzNEnXvOXUOfv6WlezeaWXuuRQO9heTItoZD3t6RvD5Wzegc6CoMJCo5IhLBYQRA822kotcy1Y1WTgDKZ92MaE+K0vYXrF8Mt62ZiauuWAxMp6NXMqV44UAmkI5MHYSBAQAVcsYSDTGztQSmmSmseQ6Fj5+7gJs+dzZ8h7T8yMQk/zPZDb3OLaF2rSrimi7jqKBVDcGgDShPhN1+AyUhX99ld9Q/P2J8xbi+rcdCyAW0ebjmnerJPCLAECaT4WI9j/OQIrF3sdn+nzCx+FNVxyfSISWfFWva+wubKOfiWVZuPeqk+LPhm30/Va7Jz958zGJv+VSLs5aPEGyxvXkHI1BzhKKy2sjUDO63mrL2BXTGpVuh3w7hyUTibxBdnjQ4IvH/ikA0r/t7zdyikR7y3iOFBkEoi5sjIZYjBhItg0MRxOI3gJYvkBaAGzqwMaFknW2h4mBZKL1c+PbT2/OyVbu9He9zt1kRGE1LT70rNP5yybisY+dpnVGiH93xcmzkUu5UlzbJPx2dFRy1JJPKx2uRrNaQxa1VAlkgE7n0KSVsBE5ku4HLdqqdeEZE0AaY1IyBVl6wLtkkqplM7stD9e28LQBQDpprgCbyFnrGV/eaQNI6hjQ4qIagES1/IeGSsh4dmJh86bjZ+C6KlkInYHkaJR6QAQsM1pjXQNAZRSJ38XHHK11LBAzkPR35w/vPA6fu3Cx/Fwt80X2zKfPwB/eeVzi78lW5iIgolIX+r6iBfH6W5pybZyxqAPnLxOlYzwTyIGIiQ1ZHDeruWqmEYjZQNmUg5ktedSkHGMgkOjKMYq5tgU/CDBU9JFNOfjI2fPxwIdPxuSmbHRMsS/d1x051dx1ieyCIyfhXafMUf6m7yObcnDfVSfja69aZuxSxUF0z7ExqUG0/OXPF4j1krjfTTnJ95cHvgcj0Has99hkGc9RFq3VWsGTr9JLmikYuvGK4/Hnd682jvWhIgXw8b6p/OTgQLEqYEnBqomBdM6SCfjIOQsAxJlnE4DhaQkMIaLNdTqS18o1tXKeK39frqKBREEoad9RSUnZT3aYTLm2AjKbRLRVDaSYgeTYSQaSqbyPTvEtq2fgw2fNU4RUJzVkjBpIrgSQEl/h8jUzFeYIX9T/9u3Hyve22trgxLmtcn6MGUgsCxuECaCYrvNAf0FNXNCxbAvvPW2uBOeJxZRybSU+6GAJAQLCTFpWU5pyUpz+rSfMwOTGbGJxGYSh0owBEONLB30IUKBjtOTTcmEVhOq1SgApekimkhoeD+njqeLHAs7xQiVMLEZMGkhArM9DPl+WsPmkgcQWh8q7ORYDSdy7Qa28SvcP9Hvyd44GSJveD93IT5w6vx2WZY2ZiBkLQCINJCF6HSoi7jQmNkUxaSUII/HgeBvXsdGQ9XDukgn45MuSbCia0zxtDM7rqMXWzkEMFX3lvubTDnqGy/j+vdvwQvewwtCmcmwuFSA1uCwrEWs7GgOpWPExpy2PP797NbIpB9NbclJf9P+tnoE3Hj8Dr105DRuvORuObcnxUi8BJLPOGyDGS42igWTcTJqphM2CJfUBuX3/shWy4sB1bCyZVJ9gw9ZlPfRrJWyTGrIyflwxrdGoeUnWUZ9FJQixv28EHgeQskmWDhAnu3IpV8agZT9AEKpJl7QTl4vSs5QAKivRlRpIXLPvMBlItN/xd2HTACQ3+Uy4lTQNIpWBlNx+LADMtixFI9N0zPECSKZ1D41HepbVADP6nndhpOPS/3V2sWqWwlIkcx1b+rh/M5CE/RtA+hcbTYI8O8mR3oznKEGYEM224Vhxy/JEO0WGwHKj8jW+qB9kJWz6AkRk39UXvtp79+DVp+CuD5yoOJ7lUxuZYKH4f7VSH24pLTvBTQ8aXNtOOOYnPnmG/DftQ880k83vqJOBn+fY46aZkvOie0aCdVRzTOfZVIWBRI6Mgi0TA4nvv5qZSg+4jQogRYsn27bwg8tW4JdvWRkd08HM1hps2Nuv/O4VyyfJVsDVGEjTW2pw2appUhtGBwEJ5JGBmAbYkeZA12BJKam89sIl+MFlKzCxIYuTNK0Espq0q2haVGPLpWUNuxrwmmyskjwKNnQtlSOnNuK4WTEdejQBSkBkI02Tpg4sfufS5fjEyxbKc69JC0H9q8+eDyC+pmrv6cyWGrzvtLn49qWxkHOD1o3kl29dVTXTCACXr5kltnVtLJpYh/YqrZ4PJ16iktz9fQW012ZgWRYmN+bk+8i7IHL7+LkL8PFzF4z/QDAHLVObc6hJu1IzjJ+X2llOBMW3v28NXrtymrLtzNYk+84URGU8B69bJfRlOiMGUjUq91jGwfJqvoLAzbK2gKXraq1NY/GkeqOvkCLfbN9csLV6ACj+PpZmFb17Jr9rWZay6C9W9BK25G+4z8imHLlNqRIYAU2ajwhAok6axUqQANw8rZTRVC4lurDFAFKx4kfsJ5OItoGBRMBFbRqWZUnAzIKFSQ1ZdLGyYgLL5DtiuL5sysHHzonfD76on9FSI2OF0cpNc9HcSQweOkc/EtFOdI5ryMCyhF4Tb2JRDSSlxZbeIpvP1dlUDJaOtpBxHRtnLupIBvdh0ne4jkFknIkYA+LdoDEUhGpXJs5AevVRU/BfbzgqcT5KCVt0TmdH3c44QCDbRgfJZ0G3V2fcxRpI5Btt0Zm34gt9Mo8DAIxFIcVmzc+cfIqu2VRNtF9nID149SmwLXOrbd10n6WzJHTj/sBUwlYs+1LDyg9Uhg2xhanxgh/EmlfczjtiYkJKgkwKYGvnvWBCHSpBiB3dQ8p3NVq828hEtCk2Wr8njrOIgWRZVqJawLYsxf8VywEacp4sJZ/KOmya/CmNFzruUMmXnWbJ6hhDnI+fsUAM1wAgheaG2jhzUYfCVP/Tu1fjzaz0GBDlVj3DJQYgCV/+0NWn4OGPnIKvXLwUHzxzXtXzoe6VPcNleG4c1+vx6K1XnoCvs5J2IPbzlSCMxOKTDKTajCuB8q9cvBRnLGyXzP2UY0kNJP6OH6aGttItcDymi2grnQINOymUfcUnj62BZPa7tGt9fjWNGX0X1ViQprUYzdUxgGS+XssSzT3KQSjLQHUAcdmUZImcej3i3nN/77JYsBKEShe78YJ8Lzb7N4D0L7ZZrXl4jqWUTnEGRNZzsLcv7jJRqgjRbJtlQBMMpCoaSJTp4OJ4wxorib/QjpUsYauG3E5qyEZ12PH2R7KsAv3d1FlDN9rWBI7oi5yxMvcUpNMiSg86jpneyNgwY3edS5wjMZAIQIrKDRdMqMMxM5pw9PQmVQNJIuLi81gMpLEApLG+10sYgHhS4789Y1EHjmNBUy5qS8vta69aJhdBMYCUpEBfc8FiyaLTA/TW2oys8QeSjpcmiUNDRQVsvHTlVKU8pZqpnRTM23zzNUfiylPnyIByggYgceCpqQrl+XfvOBZ//cCJmN2WRy7lGEuNqDwRGF8Jm8n0+3fawnZctioGLlzHxrbPn4vXHCMACRpr1YI3y7Jw5WlzZHcjIClsOZZ9+Kx52HrtOXAdGx87dwF+8qYk3Rg4vIyba4umAHt6RxQ9BPKFFJzo4/2IyQ04fWE7DsdGW4BmUw4+8/JF8rPIoI7vOuoysSg5ARnVwMn/uGAJpjXnpIi2iak0HuMlltUWX3QuekZbf/dMCzIqa+X7Jvbb/I5aJaDmNhoDiRs962rPhOtXFMu+MqpNT4VfE/fnY4loU+mKFNH2gwSDl89Hrm1XLWGTGkhlH2/40Vo8uasXjm0lxDVNz4tOn3wQZyDxEsNlUxrwtVct035rHqd8zuUaiDwgHg1Aihmr6rsYRAwkfeGQdh2012bw80d2SIAUqA5YkJ+f3ZpXEil6iQLN/WO9j55jJ8APoYGUZGrr/lWKaEfX1JJPsZI9VXyVA0htdWnMbE22vOf3lQDcd0eMSD9kItoy453UQKKP+iOaUC+6GcYl6eJaBguV6Nr4AjL+HY3jarHT/zthBt543HS8gXWpApLl3PT7S1dOxaqZTXj9cfG8ZFtmhp5uBBy011Uv1eXGgYopLGYmrT6hgSTGCF9AAoKxxe+J0LhJjv1rLliMS1eqAvKJ89AeEpWfB6F6X3VGuy6iDQBX/PJxmYjjXQD1BJhlqQvaQkVlO/ESQxOjk8oAsykbKcfG2u3dCQ1Qesaik526FhjN1C5sUQzyDxA02mozONBfZCXUMWuuWpkqN17+yucBfT6a1ZqXSVEyKlmvRAwkpdNx9O+vXrwMHzpLAFiLJ9XjB68/iok425GvUDWUxiuGTca7BY7HknPw6GuDQjlQwE4+fxhL2Kr43Wr+ybjtOBlIQDL21RlIJtFwfq7lSsCEyMXfO+oz+NO7VuM/LlDZ49xGK2GL2bfJ+OClaP8GkP7FdtK8Vjz8kVOVhS+fnPQgs1gJkHYEA4kyPNUYSPqCgXRleFaYl7UFQahMfnyhT3Y4JWxcCI32Y9IJSO4jOh/DofQJYKxgkiZpWkTpnd1OWdCulFNV60yiG+kZeBxA8gMZCLTk07j+bcdiekuNIk4bayCJY47FQDIFAtzGmiR04TyAZwyr/3YsIK1aCZv+vR60d9SlE5MGHyd0Pd2DpURZ2HhMLxMx2aSGLN53+txE22IyPumbNJAAYMW0JsxszSPjObj9vWvw+mOnJ7ZJu44MjE1sg/GY/nzHohHTeDmc4K0+Oz7hczJe4tGQSymBPLfDKWFzbPH+7O8vKKBLvMAVn006P2O9I7qNxdrTx/54fQIQs5DeeNx0vPCFc6uOH0DcO2KRen8nA4kDl9WyeZQFJ92hamY6VxJl5QB3XcbDne9fg89duERS+nWAlMbtWMApibxX8+N8bitUAmVgjzW8LAYEmEqfgLizi2VZqEm5o2sgaQEqLZD//O7VEtRtyMZd2LZ1DeGRbaIrnakLm8m43o74PzGQVKHZ162aJp8XbUun9/3LVijllXxOpk6hgDq3821etnSi0l1wXkctGnKezPjz+CIIQmPZ9+TGLHqGy1g6OS6PrsbuXTGtET+4bAU+eu4CZb7Q58RmjXFVzTzHUoSJATHvJhlIqsh4GMa6RCYR7TBUhdX9iJFkAiFMRqwousZKpFsHxHPy4WgguY6Nz124BK+OuuXRtVDJJI8dbSWmHJ2BlEu5+PTLFyXmRR1gprmoJZ/Gry8/VgFIbcsal4j2a46Zihe+cO64m29wm9Waj8v3Ih9XiFqTu7YF3w8VBlLKtTGLgXy0wD+cdT1tqs8h05tzjI0e73CWBio25Dy87cRZmFifkeXkQKw3FYbiGLaVZFDrXdjKvlpeNY0DSCYGUsRQSjkO0p6NtVoHYiAuw3RsS2r60Gey7Z8/J/E7UwnbP7K8bq/L4EB/Qeq/jhXn6sYBpBRjs4zFBAfiebTkCxF27vfp30sm1yvlWsrvo3Mt+2MzZkezgPn+8ZhJRDs+dnL7QsWX8zeZZKQaGUhVAKRo5/r8ajqmvs3hAEgmBhLvnMbHfE3axbauIQRBKJvjkC2ZXD+qNIiFGLzliVidgVSt4+dLyf6+Vc2/7Z9m1HKSm9Ixw8BMSUftiYcOUwOJxAM59Y9P8iEi5xf9jQfgcpuxRLTZ5vPaa5FLORgu+cYuSps/d7ZxH5YMopPH0p3kWAASLdzpuJwW/z9vOhonzm3Fpv0D0b7scZfdnDK/DeceMQEfjcoDUo5oWUoAEgfK3nPqHNy54SC2dMYtZMfLQBrLxloM60EgUL1rCrexM07mEjYyAth4EHv7e9cgn3GlpgbZ7995PL5w60a05FPyOVWCEPkx9BBM1jrOTKZuJ85tlYsdvnA06VroVg1A+f/s3XmcJFd14PtzI3Kt6qrqqt6q1XtLLbVarb3VktCCVhASDItBrAKzGJ4xYBnbGJuxeR94tuV5Nrafx2MPHmMbxtiDn43NYIwHmMczXjAw2PiBzSokkATaWlLv1VWZ8f6IuBE3IiMyIzIzIiOqft/PR6qurFwiM2O7J845V8QdID98dGnoANKg7zdqUAlbnKwZSGmlzeYTcfdZep0xMy38q3D6KnvM55F1dpNBWYvR58vyPs7etE4+e++RVCe8ZvnZMD2QRNymn5/+2v8rIsknqJal5EvvfEZPmWVUXAbSvV4AKbp8OoOtnpSBVE+XgXRg66yfvRrHPF70ZCCl+Fr8WdgSmmibJ7BTDdu/oNJ1HFnp6oGc+/eGsS+rWZYcPeVm18y0an4j/rl23Z958aP/8lBwf1vJgjclfL+LMP7FEyOgoN/rWaFGs8Fjuv4xxX1wtPzUbGRt9rWpGctiPt9vvDQobxVxj7n/bJSFm30k4jKQRNx94hfuf0J+4pnnyV2/+znvPSR/YTq71Py+WwkZSIOC6GYGwN998zH59Nce9WerNdUsK7YHkmUFx8ZN65r+Otd1wuckKx3H+PwStj3jPevjrj+VdKfrDw718ziOI9F4td9TJuYl7jy0w/+3+V6iGUjmd6SPKVkC4yIxGUh99nFKpZuFLc4v/cCFockxkrQbttS8yRd0dtxpbxZP27JkxcuQ02xLyb7N6+QrXmm+2wMpY2aId9foZ1ezLTlvcUb+5YGnQuvniy7fLlfsXpAbf/nTIuKuw+ctzsjf//TN8tCTp/z76UwbR9wApmPFzHiseo/r5muZJWxx66MOMOlS0WOne0sM9bmApZIDzMrLTjKbwpvLoYOBwx7TRNz+Z4+fOGOUUGc7F1yYarh9Sb1Z8XQm86DjkYgEs/h5PXTCGUiDl0N/Fme8DCYt42lKz4Q7ca7csyD/6AUC+zXRji9h68r0dGTiJKWkI71ZkCJ9StgSXiPuNaPHiv4BpPDfdEaqfo6ZVk0+fvd1cmKp07O+vvKqXfIrn/i6PHnyTKbzN3e54zOQanbQLqXTdeSb3rnRWkYAqYTME924k96mN5VkUg8kcxY284RHT8tupv6Zs7B1nUgGkkjPyUyWDKSabclF2+fks/ceMUrYgmVN2nm89to98vn7jsROdx7tqTHoIKVP7LfPt+Vz3w6fZOnAnd4p1O3epstJ2g1bfvNlQTPnZj1cwmYGhGq2JU8/b5N845FjQQ8k7zX7zcKWxqAAg1JKXnxoh1xvNLcedNLrLl//1x0UQNLlk3G9U+LKenQPn28/dsK/zez9ldaO+eRgTj/mrA9pMpDSL09b/u17RzNnyWjRWegG8UvYMkSQ0pxUDSPLebl58DczLaKzaMRmIGU8QUibxRXcP1sASSRdQNgMTmadocV8vcN7FmKvJpvM73jvxmm519jOtLgsgHsfde+X9H50VkVSBtKgdWvTTFP+7u03Jf7d3F9HeyAlDfze+ZwDfl8RvWokZSBpjuO4GY9eyZUSN4hT8yZHEAnva+t20KOkWbNlfbsu65o1mWnV/M/q7775uH//muU2ct0w3ZAN65qx/XLM96Sf+6q9G0RE5JqzN0ZmKgqWRX/GByOTIWgXnDUr52xeJ9985Hho0GgZfVayDKL159jt9k6Drr3o0HbZPt+WaxN6ySQx17NocEcHkAZnxwbHple+73P+7dEBSVwTbTeAY/mfx8aZpjx23F0nuk54Wviu4xgNpJOuzvfepl+z44g/+lrxA4a9PXmCJtr937f5Xmx78CxsWS9OJGUgxbGMDPmsdEZVGnXLktPS9bMT3FnY3ADHSjdooquXV/epEdGzsMUPlpPou8YdE85fnO0JICmlQuV55j7W3DfqTBvdA8sRCS27SHxZm5ntFMpAilm+bevb8vrr98ot52+WD37u/tj3p89Doxko0c/IbVIenPuZn8f/8byDcvH2Oblqb3KT60H0Z/bdJ9xJA7JmIFmWki1zTfnukVN+P52GbaV+Hh2YdHsg9Zaw9aNnFI1msWYtYdPff7/t/gOvvdIPPvb0BDLWjdgMpOVOz3psWSLSCYI0f3339fLMX/sbEUkOOOvn7gl897mvFjf7qqb3Z2+84Wx57iXb/O/BzECaatRi++r+0PV75Y8//1354neezHT+5i5jQhNtMwOp48i/fPcp4zGZXmLVIIBUQubJSNxVnEbNEtsKGmL2TD1tNIEzd2A6A8nMSjF7IjiRnaWo3ohx/+71vRvSZTvn5bP3HvFvT1PCtmNhSv7yLdfF/q03A2nw1UgRN8Pkz774YGj59HPp/csoV0ya3tUO3UQ7GtTTUe1oWupUoyabZ5p9U2t/7wevEFFuj4ioNMv8Sy+8KPS7Du70G3gPujrpl7AlXGXUg5mnnbNRvnD/EwOXUTPX5TQ9j6J++Olny9a5lrzzI1/J/FjNbB0WbRya1UsP7/T7IwyjZlty3z13yO63/2Wq+/sZSBleY9jgxSBZM5A0M8Cos3Sec5Gb7h+fgZQ1S6v/co2UgeQNUAbNnigSzvzKOpgzvf81hzNd7f/zN10jT55Y7rm9UbNkplXzgwytuiWPeAGVpCvAOoAcLZW99cAWOXpqeeTstmgAyfwqkr6VV1+zx/93qAdSzHrilydJuOeOUm4j1LqlRLeBNtP9zQFas2bJK6/eLbcdXBTLUrGDFL0cZ29aJ1vXtxJ7Y5kNm0VEDu9ZkK+++zZp1W2/xPxMJ9wQfPfGafmzNz5NLjgrfj/Tqtvy3990rZz/cx8PBZBqxoA0S78y/TF0HMef8SvqaWdvDE0ikJa53fQEkKZ0D6R0x6YvPfBk4nOLuN+JmeXkSFCOpvcBG9c1/dL/brSEzehxkiYDScT9zPX+ttPt+v1i9PPElcOl/WbM91KLrIfmqq/7rWUNvPf2QOpzAWqEDKRBNkw3/GOqPtf1s7q6QQ8hPUugZlsqlNm0ktBEux+/iXbMOnj+1pnYv5nrsZl1Ot2syTMv2CJ//ZWH/fNGvweSxPVAUj3HdfO1pps12bjODXjG7uss5WfMJ12w1J9n9Ly/p6zbViLGIcRcjrl2XV533d7Y509LT8xx/+MnpGH3TpSTxtbZthtAqrklqbPteuoLxHXLkuWO20MnawDJ74G30g0FIDKepqRqot2oWYl9CM2+itEG/CJeE+3oxEmRYPV5izOybX1bHnzyVHIJmygRiQt89943Swmb3qbXtYKZ8czniPbIM7XqtvzkM8+Tu//bP4cy5dLSpWtmCVuoB5Lj9Bxf1iICSCVkniAdO917oq9nYdONIqMn90GUtBs64dEnQuaO5oQxC1urbsfOxGYaNHVhdAf90sM7xZGgN02aJtr9RAMtaaPL/+7is6TTdeS2g4vya5/8hogEn4Ne5rTNcuM0apY4TlAiED1AK/GuKjm9VxU+8Nore2aHM924P37WMXeZs3+eQQZSnyuIAw7YOnCV1APpaWdvlM+942Z57NgZ+b8+9Y3Uy2auyz9y4zmpH6fNTdV7poTNytxm5kccAF+5d4Nc6WURFEFv+1kbWN60f3PmbIFBsvVAig8grZ9qyJfe+QyZ8YLe8T2Qsm23efZA2r84I3Vb+c20+zEzkEYJXrfqdqqAlTbbqif2Jtow3fCDDLs3TMtXvfLepCu315yzUe66ape8+ebwtnrulhn56duzzY4Xx8xIWVrphPerKdYvM6MnbpBv3hI9Ie10HWk2bb+k27yia64Tzbol7Ybt98Qw92FnzbXkoadO+9vlf37l5X23C7Pfjqa/W8tSsnV9S+5//GTPbDaX7ey/z2vVLVEqPLOWbameSR3SMINcnYQMpGGZ3287WsLmHSOjU6hH6UHJ337jsZ7bzZLEum31BKSDJsZu1sL6dj3Ul8rMCukYF+iSgjHRW80pxVe6Qf8dfV4V15OnXwmbKZSBZIVnmDO/I70eZ71wsD5hCvQ4llJ+ZoSImwE+Lv/rZ2/1tw+9HU5Fsq3cEqTwBdS6pUKTsHTNIbK6AAAgAElEQVS8DJMsvWn0XeMDSG5QKxpYM58/WhJ/56Ed8tdfedjPQHL8+zux2f7RzOLocuzaMCWPHV8auE226rYsTDf8MYGW1FQ/ej4YzHgVc+F5DBa9QN+9j57wmydnpYNQDduSmq2kVU8/3K15M6k5jhNqNJ3mON00yinN7yt7DyTvcSlDyPu2rJPr9m2Uz3j7vUE9kE4td3q+N/09x5VIZ56FLWa5o+tVdDbDz7ztRn/mTn0sSApmDsomS8rIHcSyxL8C25uB5L7msdMr8vWHj8nmmaZ/kW0tyufSM0ZinggcX+pNA27UrNDOqCcDyThBMbMpdAmbOQubzkB6y8375NXX7E7coWiDStiidixMyU/dtt9f3uhJYVbRgU895eBOKSUvuGx7KN1Rl7fp6RizZjKY9M5a97+IfidKedMAe7+HekUtzvT0wcqTbtjer7xk0Jhc7/jj1k//dWZamQcXowYYRWSo5tsmfdA/f+usXDZiMKpo+ntJmoUtyft+8IqeqXRHleWESZ+4bphu9Owj5tr1UJlpz2MzBpAG91CJudqa0pbZlnzmbTfJMw4Mzp4zs3OiJ1KTYmYZmA0qk07WGjVL3v28gz0zjI2LeSxc6TgDZ2GLMvc/cYN8cxr7aCr8SjfIWlIqMruS8VzRQcX8dF0u2j4nz790m1zo9VULZo6p990/RUvYos7yZiDqF/yPo5TqKYc1U/UzlbDpZfQCKOMMIJnbXjQouiHDLGwiIn/3zXAASanwoMpSvU20dQbQ/FRddm6YEstSxqQeTuh76RglbUmfX++sQ8FV7GgwSsQdt/RmIKnQzyT9eiCZz6m/v6wZSDXbkruu2iUb1w3uRWW+hS/93DPkk299eqbXGiQo63N/N4O/lnLP5Va64RIi27JCJWQrXhP4YUrY4tbB/VtnxbZU3+07egFUr+M6k9PxSurccrXex/frgSQSlLENurD67Iu2yhtvOLvn9qCJcvj2uEw628imy7ouDaIDSI+fOBNbopTGVi+ApIO2aRpoa3Xb8gOQZuZpmhK4YBbO8AX87D2QsgX3mzVb7vmBoNogvK/rvf+pMzEZSDEBRL0cibOwKf0agzOQkgKR2o6FKblkhzupjs6oTDq+DOqLNWz2s9lE29zgal4gUkTki995QrqO+Mu6VkvYynHWihDzYBh3ZblZs8ONtiMbkv79xNKKX64k4pawTTfsUHT55JmOTDdseeut50qrboej1tLbRHu5k70vjWnYXj/+4+v9A1zaQoreNXrnpdOcRykj0YOIo17GWHQQrJQSx2jCmbUeepz+/R3ny6+++GK5YndycGTQoODczW6mxecH9F7JemFq1PVDRAY2Cx5En3T++zvOz5TZUQY6oDrKFLrjkmVgqe97VkJpjxY3aMka+B10FTE6OM96crw410qVcr9+TBlI4/R8Y0pjs+lq1qun42LuR/UVYS3N12LeJ259fOHlO+TFh3bIj968L3SlW8+upb97JcHxwVLhQXg0C7RZs+Ujb7pWfvXFlwQDrJRByGv3uVmAZs86k+4PNszqMhUzsI3LiB3EnIVt3AEkczl6eyC5F1kG9zBzn+NLDzwVygRUSvVsZ9Hn0gGFu289V/74h64KLZNuzK2ZGS6DBldaw8seF3HPO/RHpweajuP0hIn07mhgBpJZwmZHZmEzHjzKuce7n3dQbjvoBsf79kDyB6Ju38q8j6OtRiQDyethY35fupG9pksQhylhi9tfz7Xr8qE3XC0vOZzcwym6reiAhG5072ZE6f5kMRlIkd+j2U77F2ekXbcHbiNvePrZoTKzLbNNefq5m/z9XXQ545ofTzVsf4FGOXeOs36q7j9n3EQwaegglO6BlKXXY922ZFnPwhZqoj34feoxyumVTugC/rA9kEJ9ZQfsa82/hteN3sctrXR71mP9Wub5i5mxGf+a3jEyxSoQXY/6lcG2/ONtfBLDoO9i2N6elpLQxAlazVL+jLaf/Zbb3/ASYwbptagcZ60IMU8E3vnsC3r+3jROQkR6gyq6UeBXv38snIF0wp0a3dwgjy+t+FOgioSvXOhaclN0ZresRs1ASnui+/dvv0n+9V3PTHXfZe/gnbXZmknPznD0VFIJm0vH38YZQLrnBRfKX/zINanvP9WoyfMv3d73sxw0KJibqsu152z0G7knP0+2XYw+cM0OOWuZyOgZSJ2cTopGldQ3xeQ30c57YVLIMsjVJ0aD3mO/LJK0BgV3oq8xbAP0QczyyFH2PeP0yqt3+//WGUhZG5iOk7kfPRO5eJHmWBCe1KH3/u2GLb/0wotkfroRutKtX0s/Rinl7+MtpfzB/KDPJrhCn+4zvGznvHz7F2+Xw3viG9DqAOswx4+4wLoOyGUpNw2ypLwAUk7Bxeg2oQf/gwZR5qDoKqN82FLhElg9UNd0ibltKVnXrPmZuuEMJPfzmmvX5dRyZ2AGUnRR614/F6W8fj0SBONEgibKJn2fQbu5Vi05A8ncRyr//fR/viT6+DqohE3EvQCaZ/BZP3M79L26A71Hji6Fzldrlgrtc1c6Xs+rIQKgSYPpy3fNZxq4xmcgKbGs+ABS9Lbocrzqabvlr370uswlZR9+4zXyB6857J+v9Zawhe9fs93PeFB507CUUn4AaNgStiADScnrrt0rr7hyV+rH1rwm7G55XvBZZOmBdHq5E5mFLWMASZewGQ8bdCEirll+9DlM0ffjB5CM+zv+RYak1/ReI3J73HYf3dT6nVvpsWL0MXqbTnvszcrMzDUvWNnePlUpdyy9bX3bz7xOW2a42pRrhAQRCQdZ5qbqctdV4R1fo2aFdujRDKS5dl12bZiSLz/4VDgD6cQZWdeshTbsk2dWpN2Ij7Ar6d3pDeqBNEhRg5FW3U6d+rrcHf0gqD+3R46eFqXiMpDcn/pEcZznVC85vFMu3jHeSHiaQfkdXmPjvs8zxBv9/VdfIR+/+/rMj9P6NddLozuG9WHcPveOm+Wvf2zwZ6IPyGXIQMpUFuMt97YBvTLG+Z0kZSn29kDK5+Rg3pjueFIZPv1sn9cBpMll4Zn70ZWOE1qv03xi5nc5aJ9mBlj8mdd0rw/j35YKypAGZVbowUeWIGe/dUHPxDZM1k875njYyVgmYb52pytjz0AyRT+HDf4sbOkykERErj7bDCApefNN58jNXk9B9/wm/Ni4njhBDyQ3gLQw3ZCXHN4hJ890/M8vuQdS5Ip7LSj5MYMbfgCpXw+kAWt8q2EGjKxQQMlcPP3+spY5a/oqfL+sSf16aSZNGYdoCdtN+zfLg0+e8lsKiLjHRrMFwqll92LfoJ5aJn3PUfplmuIzkNyyyfgeSOHfo6XPzZotuzdOZ14Ovf7q/VX02B13TJxq2gPLm0YRBJCGzEDyAkjNmiV3XrFDbjmwJfVjG7bll6CFmminOP/Qgdu0s4YmiQsgDroQYX5N0Rm140Tfj/7VPG/Xq2HSuXzS8Sru1kElbCa/B1JCG5U0M90OQ0kQOIpmIOngtIjIRdvnMpclrjblGSHBF+1V0Jv2Gilhi9mQDmydla99/1ioBvfo6RUvAym43/GljkzVzQyk+JpYzQxIDWMcA6Vv/+LtIz+HSZfl6ff+sit3yj0vuDDTc+gTw3+493E5b8tMzCxswVVb8/eySrN8tx7YMjBzwh7ixOKG8zYPLGXqZ9R1zG8yXqLvaPNMK1Uqd3BCMPkIUpZ1PHUG0phOVD/4Q1fKxxJmeoy+Rl4DZF2jX5bsoygdzJtkBpJ5bFvudEMn1WlWr3D6f//3YZZ46RNHvS5YlgpK2Kz0jTxrdhAwGAc9OBxmUBWXgXRgq9uj6UDCDG5xzFnY8gwgRflNtFP2QBIR2WX08VLiZtjpMkGR3gGN7kFj8o/dXTdoZiklU/WanFnpyvKKE/s8wfPHL5vZwFwkuKoeNwub/n1gCVukB5K57ZjrS5BR1f/5kuhgjdlUPkofg/MuXdOfTcNoTm4pJbdduNiTXVGzVOh7+u6RUyISBBrS0N9B1gsZf/tTN8pn3nZjz+368wkCSG4Jo+21PIgalIE0LP3ZRX9qPc2PbUumGzX/LCOPEuzNs2756fSQPZB2bZiWRs2STSkmtIhamG7I4yeWpBttop2pB1JnTD2QjGPYoHMF48/mciedi0UDkNFZ2ETEL1lNuiD/Wq93ZvRCU9xL9pZCJr8fPwMpoQomrwtbSgVnz+bWpo/lepvdu2m6sGNfWTELWwlF0/qiJ5+NmhXaIcSdxJ61vi2f/tqjoasYna4j0007tGGfPLMS6sXROwtb+HmHmRJx3MZ9tV6XsOnP+Reeny14JBIcQL/31Gl5RsyVDr3Eeuc3Qr/uQqTZMc6163Ldvk3yP7/6SPLzlCgIk1YwtfWEF2QI+gSjDBlIw/RAGpSB1C/AdHh3fNlPnH5TjEcDDXlcXRUxMpBKViqp6c96kgEkc1C83OlGmmgP/l7Mk88sGUiaXhdqlvL7NbglbF4AacAAWR8Xhgmkx7li97x86A1Xy6VDZJzG9UC646Ktcv7Wp8veTetSP48+99CzvBZ1Ej3TrEnd7u05FWUOZs3vX//b72ulVHhg5UhsT5yg5MttumxbQRDl2NJy6DmjouuoH0BSyp9GXkSk412Ycxyn57iT9hAanXXNHGCZM++aGVXD0MGovk20vZ95ZQn4r+O9kG1b0rAtOdXtuH2XWnW56bzN8vGvfN+/r96P71yYku8cOSn3PX5CRIJMy3SvF87USSvpNfS+9bQxm62l3O8ozYQ1/XrIZGFHto2kIKZWs5VMNWz/PCOPLN1RM5AWphvy92+/SRamBvdD7XntuZb803eelG5XQk20s/RAWloJX/Aw90VptumgP11w26DPOVTCZmYgJTyspwdSTADxXf/uAnnrrecmth/5sVvPlR+79dye2+MzkPq/vknvz6JjiBV/9vGcMpCU8veN5j4y+OyDMuZoM/+1ppxnrgiJnnw2jQBSM6HB6eJsS04td+SJE8uh29dFeiCdWFoJZTzVIzud3hK20TKQymhlDCVL5s7s8J7eadv1jllfdSx7zWzawM/dt+yTt3oHj7iHVDEIow/cVby6oNfhEsSPMmUg6RPyQRlIM626fOsXejMQP/+OW+T9rz2cbQET9Kbr57MSTzVsadhWqUolTdPNWqiZ6SSEA0iRErYUq5e5Hxt08h13hdUvQVNGBpJS/iyVAzOQIgOzUSml5PCehaEuoiRNLpAleCQS7GPe+qEvpcpA+sBrD8t777o802vEUUrJpnXNFFlf7vK063ZoH6T/qY/FSiK9PsSJzQDSwaKjp1fcgJkKZm87ftotg0r6DKJfU8Moaex0HT9DQZ9WxQWwggykwZlXen11eyAF37cZTNLPElcik4b+PPqXsHkZSAWVv9aMDEH9OT3v0vgS+795242ybX1bHnrSzUDaPuCihUl/duPaZ/vZKkYGkqXc7LG4GW7/+PVXya3GBcrxZyDpDLn4v2sXbpuTi3esl//zhRfJ9vl2LudKOjNs3ZA9kERENq5rDtXjastsS75/9LR0nEgT7RSfd9Poa+VkzJg16WIP82GDS9iMAFJkQqQ4ybOwGa9pW0PNEh3fAyk+oB5HB+KSZgLP67zEUsEFWHMXqT8bnUQx164n9n9aK8hAqoDoYL5ZC9J1k1KEt3g7X32Q1KYjPZBOLHVCkeWeWdgSNt4qe8vN++TsTUGduF/CNsosbMZjr9iTPLtZ0HRz6JcqhP7e67bqm3V20fb1ctH29fKyK3f6M4CZ8hp8D/LRN18buuqahT7IVTF7ym+iXYIUpCzr+I3nbZafum2/HNg6uJQm7nmHSVNPEr26nGePl7kJB2jinLN5nXzzkeMiIt7gYHLL1+rJQMpYwmYs+qAtIq5Zq852sUID1GFK2Cb/HY86gYW2fb4t29a35cEnT8mDT54aeIX/un3xM8oN41fuvMQvbUmiByWz7XC5vh5EBRlI4X2847gXeKLr1fb5KbEtJd9+7LjXo0j5gc1jAwNI4dv9Hki2JZ1uEBDVGUhxPZhU5Gc/rboty50Vv+FrHP9i1rBNtL1Aa7/zJf1xJC3DuOjPxDZLTL0bbzhvs+zdOC0PPXVKTi93ewaDbrAwWwmbNq6yY52h9e6P/qu87PBO6Xbd9fK8LTPy/s/e33P/C86ak5979gH5xL8+7C3HeD5fM9NSJC4DKXz/X3xBMF38iw7tGMsyRG3xMpDiMifztmW25ffBMz/jNFkvevYwNwMpuH3YHkjm/mBQNrT5V3NZ02Yg6f3hMEG3nmWJu6AcDSD1+Tz1Pjb6mOUMGUi/+6pD8p0jJwfez6QkaGBvnm/obUMnUcy1G0MH4VcLAkgV0K+ELWkj0umfDz0VDiCti/RAOrUcCSANyEBaHkMA6WNvuW7owf04vDWSbvnyK3fJn33xQbnl/M1DP6c+edmzcdrvzG/SH2Mn5qBQRsEAyT0hHSTpCsWkgjAHt80N/djfesXl8l8/e7+cnfHKfBnUSpSBlCXwsn6qIT98w9mp7pv3thNd7jx7FM1P1UeemGDcPvzGp8lRb2B811W75MwEl6+nhC3URHvw92Iev46eWu5zz/gMJHNa64ZtzsIW7B/7v774j5+0YXuJRCml5Ndfcom88Lf/Qe599IRs2jO+4K2IyPtfc9gfvEWZTbGT6O11plUP7SuC70Kf46jQ3/Usa9HvqlGzZNfClNz76An/4p3OwtFZIknHuejXrgejlgpPM68zkJyYx2Qpk2jXbTl2ekVqtkpcN/XzDDv20b2o+s2UWlQPJP06bolp8Nnq1/7Ujz9d3vHnX5YP/uN3wv1MvA9561w7UxBm2B5ISczz9//na4+II26A8sLtc4nbgLl+jnLRU8Rd19yZ6MLPHQ0gTKJnZ5CBNIkAUrBPq2csYTMzkMwL7lkPAXr7HLaELVpNIiLyc88+IO/66L/6t0ffj5+lOYbvO+48Lcu5lV/CFvnIOxl6IN18fvrG6ZoyMpBCTbS9BdFj4Ll2XZ46dSbz868mBJAqIHoFuFmzjSs88RuRDiA9+ERvACl64m2epNdDGUi9Ee9xlLBladhZhANnzcq/vfu2kZ5Dn7wk9WEJGnFWIwPJ8gNIlhxfGv55xtX7o0h7Nk7Lzz77wKQXYyj1EvVAGsdVrEmIZovkOfhfP9WQp072D2wUbaZVlxlvtqIXX7FzosvSCs2MFl6pU5WwGd/d0dP9P+e4DCRzwG9mOOiAwaAeL3oZy7AlTI1QChK138gUHPf2cf25o2Us6YDsbCt8scwygg0i+gJZ8HdH4ptYi7gNU+999IScuzgjthWUsB3zAkhJ+7rorXU/I01Jp9s1StiCHkjRx2RZh/Ry1SwrMftHn/8Nm6V66Y718sEfulIu25mcaa13oUXNwhbOQAo+KaWMs93IlNwig3vuRflZbGMKIPUGMN118sI+F8DM7W3UHki//KKL5Vc/+XU/e1yvP0tGT6boaxZFj2EmE0AKLgKbzeJT9UDSGUjLkR5IQ2YgiQRBjUHrnbKC+4eqSbzXfs21e2TPxml59e9/XkSSJ00ax4XfuGeIfgb9SgKTMpD8Jtp5zcKmVNBEO6aELchAqssx75yi7AkBeZl8XjUGigZxmnVrYAq9TvN+ILaELXzfqYQMJJGYBmaroIQtD3Ntd8CVdIVUf4p+E+2S73D09z5qeU0Vy8CqTJ8IlqGErarffVE9kERErtq7QS7blTwQW+taxv5npdsNrddp9qFLy8EFD11ulCQ2A8nvWSOhAapeJQZnIHkXDia/OY4tA0nEHdTt3uA2Bi5DdpVJf89ujwozmOD+1MurJLzsXa+Jdtxqddb6tnz/6Gn/73pd0T2QkjIDknp+uD2QggtKwSxscT2Q9PIP/pz1oCvaA8l0nTcL3U37h8u4VkrJ087e2Hd5zCygItQsyz93jS6Wn3Fl3Ka/9yz9j8znymOVf/z4GS+AqGT3hunEwElSlskwXnDZdvnM227yA6Abpt3ssiciFzUmsY1vn2/Lzz//oDz7oq2Fv/aiEUAKNdFO8XnXvBkBT690Ij37sn2GfrWCBOOHoZtoG/cJBSAj5/f68eP4uuNL2MK/91t/dYCoZyZw7wJBHjP/ibiflT7PMIN4+rPXx/K5qXrpx3F5IwOpAnpK2OzBPZBadVsWphs9GUjTzZqcjDTnM68S9exQEjbeSXv5lTvlyRJdud+9cVr+9Ievlkt3xA8G9X4mbmrOMvJn5RjxClcJWn+sKcEMOxNeECn/Op6kqB5IIr3ltAgzy6uXO+GeEmlWrydOBinmg0rY4gIsOnhoK2MWNiuYvWtgBpL30ylBUenUmHogaedvnZX7Hj9ZugDS4b0Lsn9xRt522/7Q+YoewJnLGxrUOW5Porj91vqphhw9vSwrna7bRLuuS9jcdSox2zJyc9PvgeRmIHUjA5Vut/f1ddZLmvW96Zd9qMTB5sFtc3LfPXcMfrIRpN0+RmUGBeMykETiS139ANKASRt6Xs/7mcfx9dFjS+76Z7nr0wVnzco/fvtIz/3M73XcEzDoVgTmflNkMrNMKaXk5VfuKv6FJdxTMchCTZ951qpZsrTcHamELe6iQ9oeSGbGrP5dC5VARp7PDyCNowdSn+1O6/d+BmUg5dVfzbLit+/oss+16/74plxHwOIwvKuAu67eJQvTQaPKZs3yTwb7bURbZls9TbTbdbvnYJDUA0mUislAcq/o/vpLLpF/+OmbMr2Pcfr5518ov/nyyyb2+nEu37WQuOPVO0F9QCn72Dpooj3aLqIMzWPXEn3C/uyLi79qF5X3V//Sw/k07yzbgHgtC/VAWnEyD9zO3TLj//vooAykmBKvhle+YNuREraUTbSlRAHduAyrUeiG93lM4T2K2VZdPn739XL+1tnQcTY6Y060hE1nIMW9nfXtujiOm5kRKmHLnIEUlIi4PZDc23WgKy4DKssgpV0PAlSTLKvQL11cBpKxfUY2ybieT/r72j4/lel13nbbflFKQufjo/rdVx0SEZFHjp0OZaBdtD2+jM3KMYC0wetvFb04W9Vs4mG16rbMT7lVBbqtR5Zs/GbdltMrnZFK2PxsW6PnXtpZ2JTE90ASCZ/fRI9f4+2BFLN8MckQSfQ+Nrosutw3TQ+kYZhNtLtGFE9/njqDc7phr9nSNY0MpJL6rZdfJg942UNTjZr8hx+4SF73/i9Iw7ZEKeWfDPbbiBZnm/Jv3zsauq1uq56T2VAPpEjaY1IG0sZ1Tdk6l+3qDYxZ2Ep20h3lB5BGjAKU/G2uOq26LV/82Vv7NjgtSp6BmDyvoMedpO1YaMsPPm1Pbq+JeLoXk4jImcgsbGmctzgjX333bfLWD/2zvOH6/k3aB2YgmSVsKZtoBxlIk2f2eHruJfFTnGehexmWOdPQXLa4zBTzNkccOX56JTbQNj/troePH1+SRs0Ommif7t9EO3pruITN8QcqulzFceL2mzryNfhzbvsZSO7r/NqLL5lIz0m/hC2nQZ7mZyDZyg/O9X7PLrP8ddgStudduk2ed+m24RY2wc3nb5GD22blkWNLoayTpIlAwiVI4932NiRkIK3FiypbZltuwFgpbxKF9OfCOgPJHGtlzkDSF5slfQmbMnYVzUg/W81OEYAcx/cd9wxJJb1xWkY2pcnvgZTT7LWWCo7XcWWv773rkDx2fElUTILFWjP5UQZiPevCcAZB9Iqnro/utxHFTU8alzIY6oFkPN+mmWbMxutGf8t80lhGOlLdNeqay0x/v/URT1DWeoR+EsZ5dXQUVd1HxO0jP/O2yWVbrmXnblknv/PKQ/KBz94vR04sDZXJ06rb8p9efvnA+8VlINWMQak5C9ugWVA1fxMoQQqSDoxcuG1Ofv0ll478fDowMWqZc57MWHC/XjgiIieXOnJsacXvH2laP+XuUx8/cUa2z7f9cybdRDtpwJU0bXVPAMnogVTvmQHL+0eKdShoou0+aNzBjrSCSV5yLmHTTa0tJQ0vWBU959C/h2dhc5crawZSXuanGvLUqWVvFj53eZMaaZuD1rFnIHnnDtFVrewXPPOwebYlX/3+MVFexmkzQzZds27LqeVOpBF2ts9wmBI2/7VEhfdJCRlI0awq/ZpjCSDFPEU04NJvFsE9G6fl7E3Tcs7m8GzIOokhrwwkUUo+/bVH5Z++80RsD6R2w5YdC+5+w9+/r73NQ0QoYasMf1Ys74A87QWQ+p1SmDMJaHFX11uhDCT3dX7ymefJyw7v7NnglzvVmEWsbPTnpVPWyz641ucllKBhWGVfx5OUrSRnLVNKya0HtshU3XZL2Iy/jTsmMxUzQNAZmGaPFXdA4f59UI+XMjXR1kGPcQ0GF2dbMj9VL/UxIjojl0h4emxzF/X9o6dFRGTLTO950/xUUNpjq6BBtZ+BlBRAinw0jUgGUidVE+3eAEiSpKv2RdPLXOgsbEavGpPeRs39um0pUSr+IusktOu2nDrTEccoody9YVp+4LLtPfc116lxB5Baft+ZyGtW9Fg+ikUvkKz7iWXKQKrbcrqnB1LWAFLQ7kI/dNC+Vt9v+3w7dN9QD6SERtsiImdW3Nn3xrHdxvVA6m2infyZbFzXlE/9+A2yZ+N06Hb9mY46wU8SvUR/8r8eiJ2FzbTWTxXJQKoIf1YsW2cguRv4cqeb+JitMQfHuA3WTNnWV1Sfe8lZbrPQyDaqpzCc9AlK1ehPq+NncE1uWdLQ65teXyYxEwaqrar7iKou92pWs5V7rDPO6MbdmLpmW9KsWbK00jVuc9eFaJPetCU6QQnb5CNIOoA0roQhpZS858WXyKZ1vRk7ZWFuytHN2u2BZGQgnXEHT3EX3ta3g1JKy1LSrFliKZFjXhPt5H1G+Ha9DtUstweSHiTq2QIdicugcX92U0QhzVnYJkm/h7x7IJkD62ZCE+233LRPlCi584qgZ17NVrI42/H3lSsAACAASURBVMptEJrVdLMmJ86sSM2u+5+dZSl5xx3ny59+8YHQfc3AwLgDSCIiv/2Ky+WczeFB+1os1dH7AcsrYctSMtWuW3J6uRO6cJC9ibauVlBeMMYZmIHUrNnyn15+mVy+az40Y3ZiCVvkPekEgbFkDsYsapYeSEluvWCL/OW/fC+3bVcv4hMnzvhN5UXitzW9ra69rcNFAKki/GmDvQOyzkDq9DmpSJuB1G4Et+3eOC3zU3U/Zbu3ibaOiq/VTWY4esep431l//x0D4W6bcm3fuH2kQJer7x6l9w45JTBqK6qnnSWOaNirWrYlpyJzMKWR1XYdLMmSytB/49gBh6zx0pvRnASfb8yZCDpc4ZxBkhvPK/c+3XzOBtk8vT2wjFtiSlh0xlI+nl0H8qBGUgJV9xty23U6l1Pkk/+28PyD996XLpOcvZHmlXIDyDlNMV1WsWVsLnCAd7wfaabNXn7s/aHbjuwdTb2/HhS2g03A2m2Ve8b9IzelsdU5rcdXOx9zTV4SPQDSDoDKUsAqeGWsDkjNNEOHTNiMpDuvmVf7ONu99qfPOxlVIqE94OhEraeDCR3hzSOwG/cu43uJ4cJgL7nzovlZ+84kNuFPv1ZHTlxJrZvmmmtX2skgFQR0QykNAGktD2Q2vVgNbhu3yb5p597RvC6CQ3M+m2877nzYtkckwa+lvkZSE41SgD9EjbbGnlH/a7nHhzDEqFqKho/KnVPl7Wqbluy0nFCg/88AkhTDVuOnAh+15kc5hVoywqaZ+bWhyEHUwmz2qxmoRI276dfwiYq9ji8OSawMNOqiaXcQZ3+7tsNW44P6IEU/ajNJtorHcc/HxAR+fKDT4njOIlXs9MEIaM9kCZFv+8sfWNGYZYYpbk499O3n5/3ImUy3bDlxJKbsaJC62zve1FK+eviqD0q01pL+wxNB5D8JtqZMpBseeLEcmibzfoRxs3YrLfra87ZIHffcm7fx5v7pKQMpOh70hUtYwkgxbzh3oB69gBSs2bL4lx++xU/A+nkmdiZG01rPVt9DcaVq8lvoq17IHllZyv9AkgxJ0JxG2y7kbwxRncCeqfWL7vgBZdtl2u9qQ7hUToDqRpNyPWV8waDaQypqgfXqmZOrWb1mlvClncv6uhMbDqTw7KiTbTdv6dtol2CHtr+e6vqdjmMcDZHJJNH9Z7fNGtW7AyWlqX8rGydBNCu23JsYAZSfAmb30TbOH/bPNuM7YEUrEODV6Ky9UDKv4QtCPDqYEoVV+92o+Y2Xe46oeVXCbsXf5bcnDPN7vBaF6zFY+KiX8IW7rGVRqtuy+mVTihAnPWc3/FL2IxZ2GxdMjX4ucyAR6gHUr8MpDEGkOKz56IZSOVbr/Rne+TEcqiJth2zrH4J2xrcPkQIIFWGnzLvnYDooE+/ANJcu95zghsXRZ3qE0CK0hHqNbq9DK1yTbS95aOcB8Oa9CBmWGtxxpmyq1luCVuoiXYOfYXOXZzxZyISCQLoZglDqIRtUADJOxlNM/jPmz5nqOp2OYxwE233pzkwiw6Mt8y2EgcDug+Sfs6phu33y0rK+IneqgdsNcuSjuOEBihLK13pdmN6IGXosFG6Hkg59xgyB9ZmgLdqpr1t8+TySuj7Tnov+vY8SthMv3rnJfK5n7l5TR4Td2+ckr0bp2XflnVSs6zMGUinz0RL2LK9flz2Ut3Pshv8+NB3Zvwz1ES7Fl/CNpYm2jHLaB57apYqdeDliZNnQt9BPWYspN9Oed9FvhgdVoRfwlbTvWnc31f6NNFWSvWUscXVxmfZWegpFNfSSeg46JMCnYGUdGWpLPwrXCVpMonqKfG5ASqmUbN6MpDyiMn8xksvlZ9/flByq4+Xtopvoj2oRGfXBne6392RmWQmoVlzy5HX0rHb3Afpwcrlu+ZFROTOQzt6Buhx/Y+09VNuAEl/fmbmtg5e9L5+9Ip7kNG20nWk44icv3VWRNzBW9dxegaa+vc063t5MpDcn/2y28cpun1Wjb6Ie/z0SqjfUNI7KSoDqVGzYks614KZVl3+50/cIJfvWshewub1QDIDxGZAJ01QODQLmwQXMtIy72tuEqEm2okZSKOvV/GzsCW/dlnoz73TdeSpU8v+7fE9kKq3rxkneiBVhF/C5vVc0BvfoI1wcbYl9z9+0v89LmUwy0F+uSIlWGXjz6Ti918oN/8EZQ0NNjAeSrmDnSqnvV+6c728+NCOwXdEIeq26u2BlNNr2cYITpcMWFZw7FQq6IE0KMPiWQcX5b+9/io5vGchp6VNz238bFd6u8zKPE/Rh7Lt81Ny3z13iIjId4+cDN2/32BZN9I2M5C0pMFlUg+kmqWk0+2KEuU/z9KKGyBNKmHrpoggnbe4ThZnW7JxZrIz4xVVwqZPpJQKvoMqrt5tr7z0xFIntvF7lD4/o19fMcweW2m0624Ayby+Hwomp/jagrGCEXTx1/HBTzBMDyS9i8krAykcQCrnumvuZY+cWPL/HRe80++nivuccSCAVBHRlNX9izPyIzeeLS+5Ymffx/VkIMXNwjZUBlLqh0DMEjbdRLvcexxOUDAsJe5BeNJXwUfx4TdeM+lFgKFuW+605wVMZ2Ye23TaenSWp2AWtv7HTqWUXLl3Qz4LOoTpRm1NlaNYAwbj0X3Ulj6Tf/gz0+oMJGPykaTBUP8eSCKWcvyr/X4GkhX/HGnW/Mt3Lchnf+bmFPfMlz8LW85N5s1Pt1nhDCRdwnam0w29p6S3UlQGElyX7FgvezelzyJt1W05vdz1Kw5EspewmeVvej3wG8WneLw51kvbA0nLK/Br7tuyZHQVyQzUP348mJE17ri51jt8EECqiGgTbaWU/OQz9/d7iIj0NtKOzUDKsLMIZgao3kF6koIStmoEkPTycYKCrJSXgrSWBqrIl94P6Z4zIpJbClLcyballDSHaKJdNtNNu7RXfvMQagMy4Iq4SLoStrjyrMQMpMjvdaOnVqfbFUcp//xracUteenpgeT9niYDqSz8HkhjKIVJw3GCwXAVDzvmuhTXtysqOisz8vWeF1+S6f76+zx1puPfFtrXpNiUO0a5gn5kkAU7+PFJ+75+GUhacxwlbHEB+wqUsJm72SMn3ADSj968L/a+ZR/H5Y0AUkXobS3rCeuW2f49kJo1K9NATzfRXktp8OOgP66OUddcZlzhwrD0qr3WD64YH33cO70cnJDn0URbJHzlVq/CoQwko49Q1QJI73zOBX4p1loQmhI9xbTS0fMl0/xUpIl2fXAAKXpu1Yj0QKpZ7vpWs5ScWXGbxCfPwpa4aKXjZyAVNAubI8HguorHnelmMBSLmzkwyvLPz6r3XtcCHRQ+EQogBX9Pc+yKtrtQRuZrmm89tO8zHqHHbnp2uThjKWGLuc3cH5Z1bGFmfj12fEnWNWvyY7ee2/cxWSY6WE3K+Q2ih94ZZE37e9aFi/KG6/f6v0frOLPMwCYSRMWrXJ4yCfr7O7m0IkqVf+Bhc4KCERFkxrjogeip5SADKa8BdVwT23CT3mBg18y5RGfcrj93k1y4fW7Si1GY8GA85u+RGzf36R3UU8JmnDvFzdAjEpeBZPZAcqTTdfzg5BmvB1L0MUET7epEkIIm8/me5+g+dZtnmtLwtsUqZsebA/ZUPZCUEtUnAIDJ8gNISyv+beb3utxx5C1/9E99nyNcwub23QuCP9m+91AGkj14LDmOwG9VeyCZVfJHT6+kDNbltjilVu5RLHz2kCesW+fa8tO3n+//Ho36Zo00L3eqkUFTNvrjOr60ItONWulPcvT6FjdrH9CPXrVLvoqjQvRxyiwJyK2JdkzWip69zLZUZBY29o9lNqgHUvS2YZpo122VmMUdPc7rQVu7bsvRU8vSdcS/oLSUMAubvrpdQPuvsSmqifbrrtsj3/qF22X9VCMU4K0aMwMpTa9l21JSt63Sn0euVS1v33DSOF5FL6h95EsP9X0Os12IknDma9avPRRASlH+OI7soLisnEqUsEXOLNjEkpXzG0SPcaXMR5siZ51mVTeF48pHNvoC5fGllcxZX5NACRuGtcebsryKpQQoJz0QDZWw5ZSREZq9RoVvq9vKS/13by97JulaNziAFP49VQ8kv4m2l/HS5xp10ixsF+9YL0+cXJYHnzgVykByA0jhBwUZSIkvUzr6LYyjFKb/6wSD6irPwjaVtQdSxlnBUKy4DKSsDZdDJWzKzVoM1o2MGUhmCVtke8lL3Lpr3lbWsYXR91xE+mc0VmmfnAd6IFWENaaNPppqnTWAdNorIYibzQ3J9A78+NJK6GpTWfk19gQKkdEfvu4q+dJ3nyztLBuoHt2M9+SZ4IQ8twykmOmP/eOvd9Vf/577NOUYiTJ2QbHTMBu3TTVsWdfn2KwDSPoanD536vQZRURfslFzbzi8Z0FE3Fm3bKWkWbPdJtrdmAFLBZtoW15gp8hBYtBEu3rnLOZ5uLn0SYNX97Ot3vtcK3QA6WRSE+0Uotu7rcwAUrZ9QVwT7bwDkHHvNhxAKuf6G/1kGQIlK/9IFiIyfAlbVM1WoQ1kqp5tFfje0dNiW0oWptdOI85x0DvOE0sdmW6Wf9BBCRuGtWmmKbcc2DLpxcAqUmQPpLjsWj/tv2ZHeiCxfywzs2Qi7ns1B3WvvHp336vNvSVs7rlTp09tWTQ7SQdU9m6clo3rGvLY8TOivP5aZzpdcWJK2PwMpMRXKR9LibQK3jaafgZS9UZ8ZkP2NIEGS5U3gwPBBY/jCT2Q0nCMCXeUiChL+ZmvWctZQzOL6hmWY7bPT//EDfLAE6eyPXmCuPdr3lbW9Tea2dw3A6lSe+XxK+c3iB464WfUq/rRErZWxgykh548JZtnmpSwZaR3Qm4JW/njtjTRBlAW+oT8VAEZSHEDOLOE3DKamVatifZaYw0MIAX/fvuz9vd9Lj+AZIV7IPV//fDvDSPIccXuBW+53GwAt4QtZhY2LwhVpSbaSqnCs/PqfgZSoS87FjXbMmZ5HHz/orO7kE3Lz0AyStgyrpd+CZsKSjX1vidrNqL50pblNmCPy0DavXFart23MduCJr3mgPdb1gz16Gfb73ur0C45F+X8BtFjfqohN+3fLId2zY/0PHXLCu1M2hmbgD52fEkW55IbTSKe/syPn16RaXogAUBqOlBzyuiBlJdQoMFooi3invTalpLFuZZsmW0SYC+5uNINU5ayklbdHeTr4GGqAEnk+c3jqS5jsy0lzbrRRDtyyK1iDyRLFV/eGTTRruY2GZwXDl5+27JKOwBHUJJ4Ymn4ErZOaBY2byIHv5w12/JEX9pW+QcgY0vYjH+XdWyhP/bZlr7QX839SRHKnwoBEXE3tvf94BUjP090tpA02TC3HtgiR08tyz9++4g4jshWAkiZ6YPHqeWOTFWgB5Let5d1Jw9g7WjFzMKW14ja7JWj/2XOXKOUkpcd3ikvvHx7Jctl1pLBGUjpvz+llJy/OCM7FtoiMmQGUkwASSm3IfLSSlcc6S2Z0L9WqQeSUqrwGQqrPAubiHsu/sTJ5VTLb1tkh5eZ30R7hAwkv4TNOwqZPZCyZiNG9ym6cX8elHIPzfElbMG/y7r+6v3sxpmmHD29kup7W6vnAeUfyWLszF1PmqtEv/PKQ/L/PfCUPOc//q2IiCzOtnNastXL3L9UIQNJH6iiJY8AUDRdwnba7IGU02vFTcmus0LaDVsa3rTtLav8+/G1zvwqB5WwpfHnP3KNP1hIE0BK6oEkIrJ/cVY2rmvIXLsuzbotR08ti+M4Pde79etVJ3wkcuv5W+TCbXOFvqYOzlV1MKfXpzRBzSIySDC8YBa24IJH1vVSP7ZVd6tGzBK2UWPJeQaQtEHvtqzrr/5oN65ryr2Pnuhbirdzw5SIiLz++j35L1gJEUBa49JOKW9uRGQgZWfug6rUA4mpYgFMmj4hP9MpoIm2cbDTVyP1/vDdzz1I6UiFjDMDSSQ8CEwzg21SDyS9PB9507Uy267L3X/8z3Ls9LIsLXd7lkn/XqUMpDuv2FH4a1a9hE2fi6dZfMtSUq/o+1wL9L4h3AMp2/d19PSyiIjMtOrezJ/BDJCjNm+2LZX/LGwxb9ecfKmsYwu9m920riki/b+32VZd7rvnjiIWq5TK+Q2iMO2UdermRkQPpOzME89+UwWXhT7ZJgMJwKQV2U/FDDToGbZ0UOnC7XNy3uJMYcuC0YR6IMUMBOKyzdJKc+4Ufclo2cZZ69uyrlmTZs2Sbz16Qo4trciVexfin6M68aOJaK6CEjaR9BlIZR2AI1gXT54xeyBle46nTukAUs3NQPIaaYuIdLt9HphCIRlIMe+3WbPlvnvukA3TjfJmIOkStnVusKuiu5NClH8ki7ELNdFOmYFkNnYkAyk7c2c61Sx/6YM+2a6lmRIEAHIUF0DKawpdM4D0wsu3yz/ee0TedNO+XF4L+VIDMpBGkSaTOFq2kjRo2jTTlNlWTX7tJZfITfu3hJ/D+0n8qD9/FraKRpCyZCA999JtlQ2UrQVKKWnX7dCkD5kzkE4FGUgi7v4rKGcdbW9Qs1RuPYiUuPuqaPmu6exN62TvpulcXn9UukH5Ri8DqaolsUUggLQGmbseMpCKYe6CpqtUwlZj5wlgsmzvhHe5Exy9cithM0ZmM626/PZdl+fzQijUuANIaS6+9WYgxQeQ3nHH+fLjzzjXHyzGPUc369RLa4zOqKjqeE+vT/0G3tpdV+3Ke3EwonYjHEDKul4+dcotf5tp1YJZ2HQG0oi7AkspadRyvpDd5/1+6H+7Ot/XHoHZRFukuvuTIpR/JItc7duyLtX9zHOvzTMEkLIyA3Bp+05N0jmb18k152yQA1uLbYQJAHFaNVuWO0FPibwCSHpfXdZZYjCc2tgzkNL0QApnQCUFseq2lRhc8mdeGmIZ15Kq90Ca9kvYJrwgGIvoxfnhM5BqIuLOwKYrA7LOwhbVrFsylXNZeFVXY6cnA2mCC1NyBJDWsDffdI5ct29TqvvqNL6N65o0ER1CaBa2CvRAWj/VkD983VWTXgwAEBGRZt2WY0srg+84In0FcsN0M/fXQnHGXdqUpoeH+Yqj9qypUhPtSdCfb1UDMDoDqaoleAjTM4dqWQNIZzpdadQsaXqZQuYsbKNmIP3Kiy6RLbP5Ht+qWvqlg3NTDVumGnZlA9JFIBKwhmU5H9GRb/ofDSfUA6kCGUgAUCbRE/K8htObZ5ry6mt2y3993eGcXgGTMO4MpDTMwcewGW1+BhLxo77qtgoNuKtmuqlL2LAaREtcLSXy0Tdfm+k5ZlvuxWal3P2X3oWNmoF0eM+C7NqQbw+iqq7H+pO1lJL5qUZl30cRyp8KgbH43M/cHJoRICt9EkP/o+GY0fgqZCABQJlESwJGPYlOopSSdz7nglyeG5OTx5Xk/YszctvBxcS/my85bOb2Wevdc67t8+2hHr9WKKXkA685LOdsTteWoWx0U/aqZm4gLHq8UkrJwW1z8qyDi/JXX/5+qufQPdGUuJlp4+qBVISqZu74M69aShamG3KigKznqmIku0Zsnu0N/GTZvvV9yUAaTtWaaANAmURnYiMjA1nUcuhp9fG7r+/7dxXKQBougPTMCxbl9199hVyfst3AWnbl3g2TXoSh6cx0KthWh+jxSn+v5kQQg8wYGUi2UpXqh1bR+JEfnLMtkfnphpw4QwApCSNZpKJrb8lAGo4VykCqZoo1AExKbwlbFU6jURb2BEY0etD43EvOkkO7F4Z6DqWU3HDe5jEuFcpIB5Ciq+lcuy53XLR1AkuEUfQ00fZ2Bivdburn0AEk/XidgZRX9u04VTR+JDo8ZyklV+1dkHsfpRdiEgJIa9A152yU93zi66kbaIuILEw15Nwt6+TwkCdBa124BxKbHQBkEb2iC2SRNANanvQrXr9vk/zA5dsLf31UR9ufhS28nn7pnc+YxOJgRHE9kEREVrJkIDV1CZuK9EAayyLmQinlLmBFI0hBBpKSN95wzmQXpuQYya5Bl++al/vuuSPTY9oNW/7Hjz09pyVa/ZSQgQQAw4o2xy3zSTTKZxIBJJ11kEf5HFaXaT8DiXVlNYjrgSQistzJnoGklDcLm9I9kMp/8FMVjSDp7K6q9nAqErOwAQXQ565KibQqOksIAExKUbOwYXWaZAbSJF4b1aIzVlhTVofeHkjuN9vJ0AE71ERbVauJdlXjL2YGEvojgAQUwdsXTdVt/6okACCd3ibaFTiLRmlMJIDkjaIm0X8J1TKdUMKGakoqYVvOFEAKioRsS/ljhzIf+1TkZ9Xo7C4CSIMRQAIKoNM5p5tUjQJAVtGSACCLSQzM9UsyGMEgzMK2uvQ00fZ2BitDlbC55Wv+LGzljR/5KluK6X22BHIHI4AEFECfFBBAAoDsKGHDKGqT6IGk6IGEdKaaQb8bVF9vDyT3Z5Ym2rNeCZuIu/+yq9QDqaLrMRlI6RFAAgqgo/FTDa6iA0BWPbOwlf8cGiUy2R5InGqjv6k6TbRXk1bkXF/vf+an63F3j9Vbwub+O+2h7+q9G1K/1rhVdS3Wny1lx4NxVAMK4GcgNchAAoCsenogTWg5UE2TGJj7GUhczcYA61o12TTTlO3z7UkvCsagJwPJC6n8xksvkyt2z6d6Dr+JtnJndMyagfT+1x6Wf3vXbWkXeayqGn/Rny0x/8EYzQIF0DvTqSYZSACQVbMWKWGrQBo/1jh6ICGlum3J537mZjKQVomknn2bZpryiqt2yefve2Lgc+gMpIZtSbNmBRPwpDz01W1LJtU6sKrrMbOwpUcACSiE10SbDCQAyExnINmWyjQVMjApOgOJwQjSqOqgG73ajfAFD/OrTbs/0AGkX3rhRbJxXVOOnDgjIhXpgTTpBRiWDiCxLQ7EaBYoQNBEmwwkAMjKDyApJR1xKGFD6QU9kBiMAGtJ3U6ugaqlrI/SJWxX7F4QEZGnTi2LSJAlU2ZVDYYGJWzVXP4iUeUHFCBook3MFgCy0rOw+Y1EK3ASjbVNr6v0QALWFtUnB6eeclZGs4m2iFRiFjYdN6rqHo8m2ukRQAIKoHdFZCABQHa6p4S+eksOEspODyLJQALWln7Hp1qf7CStYVs9E0fomEaJ40e+qsZfdHDOThnkW8sIIAEFsMhAAoChmT2QRKpxEo21TQ+i0pasAFgdNs+0Qr+b4Yh6ioByNPtIxDz2lf/g1y8Dq8wceiClxlENKIDeF003yEACgKz8ErYKXYXF2rZppil1W8n8VH3SiwKgQOctzshH33yt7Nk43fO3NBmJ/QJI1eiBNOklGA1Zo4ORDgEUQO9Mp5pscgCQVbPmBt+tqp+ZYs24eu8G+fw7bpH1U41JLwqAgh3cNhcbiEhTwqYbaJv0sa/M5dtu5lF5ly8tzjMGIwMJKECz5m5qc22uRAJAVrqETU9IUIU0fqxtSimCR8AaFnecStNEOy4DqUrZt1WPv5CBNBgBJKAAZ29aJ7/9isvkpv2bJ70oAFA5uoSt6iemAIC1xTxupemJVvkStor2QNKIHw1GAAkogFJKbju4VeopUlcBAGE6A8m/CjvBZQEAYBDdA0mXYIuky0C6ef+WntusCmXfVvVCz8FtsyISZDojGQ1ZAABAqbX1LGz+SfQklwarxW+/4jLWJQC5eM+LL5HP3XtEdixM+belKY+684odPbcFGUjl32FVNf7yh6+9Su4/cmLSi1EJBJAAAECp9fRAIgcJY3Dbwa2TXgQAq9Rsqy63HAhnEw1biRA00S6/qjahnpuqy0VT6ye9GJVAPQ0AACg121JSt5Xo9hEVuAgLAEBILUUJWxx97OtWoAlSNcNHyIIAEgAAKL1Wza58c04AwNqVpol2nCqVb1c0AQkZEEACAACl16zbMtVwS9ku3DY34aUBACCbNE204+geSKWOH6mef2CVogcSAAAovVbdkrl2XT78xqfJuVtmJr04qIDDexbkzEp30osBACKSrol2HMUsbCgRAkgAAKD0WnVblBK5dOf8pBcFFfGhN1w96UUAAN+wTbSDWdjGuTT5IH60+lHCBgAASq9dpwcSAKC6akNmIOkeSN1KZCBxnF7tyEACAAClt2mmKY0hr94CADBpw5ewuT/LHD9SkZ9YvQggAQCA0vvlF13MiSkAoLKUUlK3lSx3skWCLN0DqdxttEWEHkhrAQEkAABQegvTjUkvAgAAI7Gt5ABSsxafZVu3lZy9aVrecvO+PBdtLCg1X/0IIAEAAAAAkLO6ZclpiZ8d8iNvujb2dqWUfOrHb8hxqcaHDKTVj2YCAAAAAADkrGbHR1heeninnLc4U/DSjB8BpNWPABIAAAAAADmrJUwGsVoCL8zCtvoRQAIAAAAAIGf1IWdiq4rV/e4gQgAJAAAAAIDc2ZESttWWsLPa3g96EUACAAAAACBndSs8/La8iEvV4y46cMQsbKsfASQAAAAAAHIWbaK92sItZCCtfiMFkJRSC0qpTyilvuH9nE+4321Kqa8ppb6plHq7cfv/rpR6UCn1z95/t4+yPAAAAAAAlFEtIQNptVhd7wZxRs1AeruIfMpxnH0i8inv9xCllC0ivykizxKRAyLyUqXUAeMuv+o4ziXefx8bcXkAAAAAACideiQDSUdcVk0cabW8DyQaNYD0XBH5A+/ffyAiz4u5z2ER+abjOPc6jnNGRP7YexwAAAAAAGuCba3OEjbd+4geSKvfqAGkLY7jfE9ExPu5OeY+20Tku8bvD3i3aW9SSv2LUup9SSVwAAAAAABUWc1OaqK9OgIvqyaTCokGBpCUUp9USn055r+0WURxq5Hj/fwtETlbRC4Rke+JyK/0WY7XK6W+oJT6wqOPPprypQEAAAAAmLxoCdtqC7issreDGLVBd3Ac55akvymlHlZKbXUc53tKqa0i8kjM3R4QkR3G79tF5CHvuR82nut3ROSjfZbjvSLyXhGRQ4cOqY2Y+wAAE81JREFUOUn3AwAAAACgbKJNtFdbwEWttogYeoxawvYREXmV9+9XichfxNzn8yKyTym1RynVEJGXeI8TL+ikPV9Evjzi8gAAAAAAUDrRDCS/hG2VxF2sVfI+kGxgBtIA94jIh5RSrxWR74jIi0RElFJnich/cRzndsdxVpRSbxKRvxYRW0Te5zjOV7zH/wel1CXilrTdJyJvGHF5AAAAAAAonWgT7dWWgrRaejkh2UgBJMdxHheRm2Nuf0hEbjd+/5iIfCzmfneN8voAAAAAAFRBUhPtVWOVvR30GrWEDQAAAAAADFC34ptor5a4y2qLh6EXASQAAAAAAHIWzUBaLfGW1RYIQzICSAAAAAAA5Cy5ifbqCL2slveBZASQAAAAAADIWbSJ9mqLt6yyt4MYBJAAAAAAAMhZzYqUsK2yCJIz6QVA7gggAQAAAACQs2gJ22oJH62W94HBCCABAAAAAJCznibaRF5QMQSQAAAAAADIWd2Kb6INVAUBJAAAAAAAcmZHeyDpnxWPI/3eqw/LHRdtlemGPelFQc5qk14AAAAAAABWu1q0B1LVI0eew3sW5PCehUkvBgpABhIAAAAAADmLNtEGqoYAEgAAAAAAOatFS9i8eJJiHjNUBAEkAAAAAAByFs1Aook2qoYAEgAAAAAAOetpoq3CP4GyI4AEAAAAAEDOeppoT2g5gGERQAIAAAAAIGeUsKHqCCABAAAAAJCzaBNtUaEfQOkRQAIAAAAAIGfRDCQCR6gaAkgAAAAAAOQs2kSbEjZUDQEkAAAAAABy1tNEm1nYUDEEkAAAAAAAyFmdDCRUHAEkAAAAAAByFs1A0hSBJFQEASQAAAAAAHLW00SbwBEqhgASAAAAAAA5622iPaEFAYZEAAkAAAAAgJzVrIQm2hNYFmAYBJAAAAAAAMhZ3aaJNqqNABIAAAAAADmLNtEmfISqIYAEAAAAAEDOdi1Myauv2R3cQA0bKoYAEgAAAAAAOavZlrzzORf4v9NEG1VDAAkAAAAAgIIp/yeRJFQDASQAAAAAAAqmaKKNiiGABAAAAABAwShhQ9UQQAIAAAAAoGC6dI1EJFQFASQAAAAAAApG4AhVQwAJAAAAAICCEUBC1RBAAgAAAACgYH4J24SXA0iLABIAAAAAAAWzGI2jYlhlAQAAAAAoGE20UTUEkAAAAAAAKBiBI1QNASQAAAAAAAqmiCChYgggAQAAAABQMOX/JJCEaiCABAAAAABAwSziRqgYAkgAAAAAABSMEjZUDQEkAAAAAAAK5pewEUdCRRBAAgAAAACgYGQgoWoIIAEAAAAAUDAdPyKMhKoggAQAAAAAQMFooo2qIYAEAAAAAEDBFLlHqBgCSAAAAAAAFEzRRRsVQwAJAAAAAICCWQSOUDEEkAAAAAAAKBrxI1QMASQAAAAAAAqmIj+BsiOABAAAAABAwShhQ9UQQAIAAAAAoGA6fkQcCVVBAAkAAAAAgIKRgYSqIYAEAAAAAEBB/MyjyS4GkBkBJAAAAAAACqIi/1CEklARBJAAAAAAACiI8lKQKGFD1RBAAgAAAACgICryE6gKAkgAAAAAABTEimQgkYiEqiCABAAAAABAUXTvIwJHqBgCSAAAAAAAFMQvYWM2NlQMASQAAAAAAAriB45IQULFEEACAAAAAKAgfu+jCS8HkBUBJAAAAAAACtJTwkYkCRVBAAkAAAAAgIKoyCxsQFUQQAIAAAAAoCA0z0ZVEUACAAAAAKAgQQmbCv0Eyo4AEgAAAAAABQkCRxNeECAjAkgAAAAAABQkKGEjgoRqIYAEAAAAAEBBdNjIIn6EiiGABAAAAABAQSxK2FBRBJAAAAAAACiIX8JGIAkVQwAJAAAAAIDCEDFCNRFAAgAAAACgILr3keM4k10QICMCSAAAAAAAFCRassZsbKgKAkgAAAAAABSEgBGqigASAAAAAAAFUX4J22SXA8iKABIAAAAAAAWJ5h8xCxuqggASAAAAAAAFUV7EiAQkVA0BJAAAAAAACtLbRBuoBgJIAAAAAAAUhJI1VBUBJAAAAAAACmLpEjZq2FAxBJAAAAAAACjIVXs2iIjITKsmImQkoToIIAEAAAAAUJB3Pe8C+eRbr5eNM81JLwqQCQEkAAAAAAAK0qzZcs7mGZpno3IIIAEAAAAAUDBduqYIJaEiCCABAAAAAFAwAkeoGgJIAAAAAAAUzM9AIo6EiiCABAAAAABAwYgboWpGCiAppRaUUp9QSn3D+zmfcL/3KaUeUUp9eZjHAwAAAACwmpB5hKoZNQPp7SLyKcdx9onIp7zf4/y+iNw2wuMBAAAAAFg16IGEqhk1gPRcEfkD799/ICLPi7uT4zh/IyJHhn08AAAAAACrCvEjVMyoAaQtjuN8T0TE+7m54McDAAAAAFA5xI9QNbVBd1BKfVJEFmP+9I7xL07f5Xi9iLxeRGTnzp1FvjQAAAAAAGOlvCZIimZIqIiBASTHcW5J+ptS6mGl1FbHcb6nlNoqIo9kfP3Uj3cc570i8l4RkUOHDjkZXwcAAAAAgNIgbISqGbWE7SMi8irv368Skb8o+PEAAAAAAFSOTjwikISqGDWAdI+I3KqU+oaI3Or9Lkqps5RSH9N3Ukr9kYj8g4icp5R6QCn12n6PBwAAAABgNaNyDVUzsIStH8dxHheRm2Nuf0hEbjd+f2mWxwMAAAAAsJopco9QMaNmIAEAAAAAgIz8EjbiSKgIAkgAAAAAAADoiwASAAAAAAAFU6QeoWIIIAEAAAAAUDAV+QmUHQEkAAAAAAAKRgISqoYAEgAAAAAABdOzsFHKhqoggAQAAAAAQMGIG6FqCCABAAAAAFAw4keoGgJIAAAAAAAUTGcgkYmEqiCABAAAAABA4YgcoVoIIAEAAAAAUDAyj1A1BJAAAAAAACiYivwEyo4AEgAAAAAABVOkIKFiCCABAAAAAFAwP3xEIAkVQQAJAAAAAICCETdC1RBAAgAAAACgYASQUDUEkAAAAAAAKJjyitiII6EqCCABAAAAAFA0IkeoGAJIAAAAAAAUjPgRqoYAEgAAAAAABVNeEyR6IaEqCCABAAAAAFAw4kaoGgJIAAAAAAAUTGceKUJJqAgCSAAAAAAAFIzAEaqGABIAAAAAAAWj9xGqhgASAAAAAAAF0/EjAkmoCgJIAAAAAAAUjcARKoYAEgAAAAAABaMHEqqGABIAAAAAAAULZmEDqoEAEgAAAAAABSNwhKohgAQAAAAAQMEU3bNRMQSQAAAAAAAomF/CRhwJFUEACQAAAACAghE3QtUQQAIAAAAAoGBBE21CSagGAkgAAAAAABSOwBGqhQASAAAAAAAFo/cRqoYAEgAAAAAABVM9/wDKjQASAAAAAAAFU6QgoWIIIAEAAAAAUDDCR6gaAkgAAAAAABQsmIUNqAYCSAAAAAAAFEwROkLFEEACAAAAAKBgfgYSvZBQEQSQAAAAAAAA0BcBJAAAAAAACkbiEaqGABIAAAAAAAXTPZCII6EqCCABAAAAAFAwMpBQNQSQAAAAAAAA0BcBJAAAAAAAChbMwjbZ5QDSIoAEAAAAAEDBFN2PUDEEkAAAAAAAKBgZSKgaAkgAAAAAABSMuBGqhgASAAAAAAAFI/MIVUMACQAAAACAwinv/0SSUA0EkAAAAAAAKBgZSKgaAkgAAAAAABTsrLm2PO3sDXJw2+ykFwVIpTbpBQAAAAAAYK1pN2z54A9dNenFAFIjAwkAAAAAAAB9EUACAAAAAABAXwSQAAAAAAAA0BcBJAAAAAAAAPRFAAkAAAAAAAB9EUACAAAAAABAXwSQAAAAAAAA0BcBJAAAAAAAAPRFAAkAAAAAAAB9EUACAAAAAABAXwSQAAAAAAAA0BcBJAAAAAAAAPRFAAkAAAAAAAB9EUACAAAAAABAXwSQAAAAAAAA0BcBJAAAAAAAAPRFAAkAAAAAAAB9EUACAAAAAABAXwSQAAAAAAAA0BcBJAAAAAAAAPSlHMeZ9DJkppR6VETun/RyVMRGEXls0gsBVBjbEDA8th9geGw/wGjYhoDh7HIcZ1PcHyoZQEJ6SqkvOI5zaNLLAVQV2xAwPLYfYHhsP8Bo2IaA8aOEDQAAAAAAAH0RQAIAAAAAAEBfBJBWv/dOegGAimMbAobH9gMMj+0HGA3bEDBm9EACAAAAAABAX2QgAQAAAAAAoC8CSAAAAMAEKKXUpJcBqCq2H6B4BJAqTil1SCm1edLLAVSVUuoWpdTlk14OoKqUUnPGvzmZB7KpTXoBgAqrT3oBgLWGAFJFKaUuUEr9vYi8U0TWT3p5gKpRSl2qlPorEfmwiJwz6eUBqkYpdaVS6i9E5L8opV6jlGo6NFYEUlFKXaWU+kMReZdSap9Syp70MgFVoZS6Win1JyLyy0qpA2w/QHEIIFXXj4rIhx3HeY7jOF8X4covkIZSylZKvVdEfkdE/rOIfFBEzvf+xj4RSEEpdZGI/KaI/N8i8icicpMQiAVSUUodFJHfEJGPisjDIvJ6EXml9zfO5YA+vMqL/ygiHxORx8QdE73G+xvbD5AzBksV4w1+F0TEEXfnKUqp5yultotI2/udnSeQwHGcjoh8XESucxznz0XkT0XkRqVUy3Gc7mSXDqiMy0Xkm47jfEBEPiEiLRH5jv4jxyGgr6tE5KuO4/yRuBczTorIy5VSux3Hcdh+gL4uFpGvO47zeyLyKyLyZyLyXKXUuWw/QP4IIFXA/9/e3YVaVtZxHP/+nTFsfCEDS2uKwBcURYKRMjCncSyM6BWtLqzBwCRprIwURiQZ7aaLXryQkmIGC6wIi8iiCEXSqGwiilS0YYwcCbUoGh2PNefXxfPMsJlm9jh761n7tL8fOHDO2mtxnnXxO2ud//o/z6qqtVX1Rtj3z+8zwPnABVX1TeAK4CbgS30fpxBII0YzBJDkjiS7+03GIvAwsGqwAUozbv8MAXcC762qzwF/AFYDN1fVteB1SBp1gPzcD7ymqk5O8jTtOvRP4HIwP9KoqnpPVW2qqnf0Tb8DzhnJz/3Ab2j/D5kf6UVmAWmGVdWxVXUHbY2WK6rqeIAkzwJbaNMHfpLkIuA64KyqevtgA5ZmzMEyVF2/yXgIWE/roLBzQhox5jr0BO0p8EpgU5Jzga3AeVX1pqHGK82SA+Tn5f2j7cCvgS1V9X3gHNpU0JVVddQwo5VmS1Wd0PNxNfB3Wl4uTvIkrXt8Y9/1H8DPgFVVddIwo5XmhwWk2fYccBdwKfA4cMnIZ7fQpqydAJBkJ3Av7SmWpOaAGUpXVUckeQz4FXDx3s+GGqw0gw56HUryEHA68Je+aRvwBLCwxGOUZtXBrkG7klwDfBzYmuSdwJ+As/tDQklwMnBfkvOTfAX4NPCp/tntwOlVtb4vP/A34NW0Tj5JLyILSDOmqj7cW51flmQB+Bqtqv4wrV3zNGg3H7TK+4aqen1VfQy4EHh0oKFLM+H5ZqgXjxaraiXwCPD0cKOWZsfzzVD3U+CG3rn3QeBM2o28NJcOkZ81o/lJ8vu+Fh+0heh/aRes5lnPz1uqahXtocRtffsK4IH+BW3q9LeAL1fVKbRO8gJesvSjluZL+bB9eP1m4UTa26AWaa3NRwOfSPJU3+dUYAPwbJKbRo79AG0awZm0aQR/XOLhS4ObNEMjRaQvAruSXD/ICUgDO8wMLSS5sW97KXAr8ApgBXBVkgf+9zdI/7+mvI9bQ1sIeA/w0STbl3j40qAOlZ+qWpFkT1VdCrwryftHjr0GOI3WDXt5kgeX/gyk+WIH0sD6H8UAxwI7k6wHrqTN9f3q3v2SPEKrxL+qqk6pqqOr6sgk3wauS/Jui0eaR1Nk6Cj6mwuBqy0eaV5NkKGTqurUqlqVZDdwGbAhyYUWjzRvprgG7b3+PAp8Nsl6i0eaN4fIz6377f424Lv9uBMBknweuDLJeRaPpKWxcugBzKs+bWYzsKKqfgQcR3v6RJL/VNVVwONVtTbJPX3796rqDNoryI8B1gEPumaL5pEZkqYzZYZ+DBxTVev6TftfhzkLaRgvxDWoqi7oRdd7hjkLaRiT5AfYBeyoqs3A+6rqoiSPJXluiHOQ5pUdSAOoqrW0p1DH0xZNvBH4N7Cuqt4A+xby3QzcMHLcJbS3rd1NW2jRSrvmkhmSpmOGpMm9gPmxY09zZ5L89DWQPkLrQDoOWNdfgiJpibkG0gCq6s3A65J8o/98C20xuN3AxiRrquoI2poSNwPXJtnRjyPJzwcaujQTzJA0HTMkTc78SJObID+foc2a2QjcluS3w4xcEtiBNJRtwHd6NR3gPuC1SbbSWjk39ldSrgb2JNkB7YbDmw4JMEPStMyQNDnzI03ucPKzmOTPSbYn+aTFI2l4FpAGkOSZJAtJ9vRNbwWe7N9fBpxRVT8Ebgf8QyntxwxJ0zFD0uTMjzS5w8zPNtj3pjZJM8BFtAfUK+8BXgn8oG/+F7AJOAvYkWTnQMOTZp4ZkqZjhqTJmR9pcoeTH192Is0OO5CGtQgcCTwFnN2r7dfT2jXv9aZDOiQzJE3HDEmTMz/S5MyPtAy5iPbAqupc4Bf9a0uSrw88JGlZMUPSdMyQNDnzI03O/EjLjwWkgVXVauBDwBeSLAw9Hmm5MUPSdMyQNDnzI03O/EjLjwUkSZIkSZIkjeUaSJIkSZIkSRrLApIkSZIkSZLGsoAkSZIkSZKksSwgSZIkSZIkaSwLSJIkSZIkSRrLApIkSZIkSZLGsoAkSZIkSZKksSwgSZIkSZIkaaz/AmqGtzfPeat5AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    " # plot the daily portfolio returns\n",
+    "core_portfolio_returns.plot(figsize=(20,10), title=\"Daily Portfolio return\"); "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2015-11-20    0.006532\n",
+       "2015-11-23    0.002581\n",
+       "2015-11-24    0.001639\n",
+       "2015-11-25    0.003645\n",
+       "2015-11-27    0.004906\n",
+       "                ...   \n",
+       "2020-09-25    1.474158\n",
+       "2020-09-28    1.508525\n",
+       "2020-09-29    1.507425\n",
+       "2020-09-30    1.536714\n",
+       "2020-10-01    1.555398\n",
+       "Length: 1224, dtype: float64"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Calculating Cumulative Product\n",
+    "core_cumulative_returns = (1 + core_portfolio_returns).cumprod() - 1\n",
+    "core_cumulative_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "core_cumulative_returns.plot(figsize=(20,10), title=\"Cumulative Portfolio return\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.015977</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.016111</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.004813</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.008254</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.005293</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500\n",
+       "2015-11-20  0.003810\n",
+       "2015-11-23 -0.001235\n",
+       "2015-11-24  0.001222\n",
+       "2015-11-25 -0.000129\n",
+       "2015-11-27  0.000594\n",
+       "...              ...\n",
+       "2020-09-25  0.015977\n",
+       "2020-09-28  0.016111\n",
+       "2020-09-29 -0.004813\n",
+       "2020-09-30  0.008254\n",
+       "2020-10-01  0.005293\n",
+       "\n",
+       "[1224 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#SP500 daily returns\n",
+    "\n",
+    "SP500_daily_returns= Core_returns.drop(columns=['AMT', 'ORCL', 'PPG', 'COST', 'MSFT', 'UNH', 'TROW', 'BLK', 'NVDA', 'FB', 'BABA', 'CRM', 'PFE', 'NFLX', 'SQ'])\n",
+    "\n",
+    "SP500_daily_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>0.002571</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.003796</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>0.003666</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.004262</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.584853</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.610386</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>0.602636</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.615864</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.624416</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500\n",
+       "2015-11-20  0.003810\n",
+       "2015-11-23  0.002571\n",
+       "2015-11-24  0.003796\n",
+       "2015-11-25  0.003666\n",
+       "2015-11-27  0.004262\n",
+       "...              ...\n",
+       "2020-09-25  0.584853\n",
+       "2020-09-28  0.610386\n",
+       "2020-09-29  0.602636\n",
+       "2020-09-30  0.615864\n",
+       "2020-10-01  0.624416\n",
+       "\n",
+       "[1224 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Calculating Cumulative Product for SP500\n",
+    "Sp500_cumulative_returns = (1 + SP500_daily_returns).cumprod() - 1\n",
+    "Sp500_cumulative_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "SP500_daily_returns.plot(figsize=(20,10), title=\"Daily Returns of SP500\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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AAAAAOBnhWELxpFVbyKkESqRSBV5RcSAEAgAAAAAAReVf7nhej+1vk9ftNDhRCTQ+hEAAAAAAAKCoHGwLq7knmn1srZRMWbmZDTQqZgIBAAAAAICi0tId0Zq55fK6TXZnMFrCxkYIBAAAAAAAioa1Vi29UW1a3aAHPrFJH9q0QpKUSNISNhZCIAAAAAAAUDQ6w3HFk1YN5X4tqgmq1O9MuiEEGhshEAAAAAAAKBot6W3h68v9kiSv25kDRDvY2AiBAAAAAABA0djX3CtJmlcZkCR5XOwQNl6EQAAAAAAAoGjc8fRRNZT7tX5RlSTJ48pUAhECjYUQCAAAAAAAFI3dTd26YEWtPG4n0vBk2sGStIONhRAIAAAAAAAUje6+hKpKvNnHbiqBxo0QCAAAAAAAFIVUyqo7EldlTgjkTVcEsTvY2AiBAAAAAABAUeiNJWStVJETAmVmAsVpBxsTIRAAAAAAACgKXeG4JKkikBMCpWcCJWkHGxMhEAAAAAAAKArdkXQINKASKLNFPJVAYyEEAgAAAAAARaGrLxMCebLHSv1uSVJvNFmQNRUTQiAAAAAAAFAUuvsSkga2g1UHfZKkjlCsIGsqJoRAAAAAAACgKHSnK4FydwerKXVCoDZCoDERAgEAAAAAgKKwv7VXXrfRnIpA9lhFwCu3y1AJNA6EQAAAAAAAoCi8eKxbp80pl8/TH2e4XEbVQS+VQONACAQAAAAAAKY9a61eONqlM+dXDjlXU+qjEmgcCIEAAAAAAMC0d7wroo5wXGsXVAw5Vx30qZ0QaEyEQAAAAAAAYNp74WiXJGntMJVAdWV+tfZGp3pJRYcQCAAAAAAATHs7jnXLGOn0eeVDztWX+9VCCDQmQiAAAAAAADDt7TjWpRX1ZQr6PEPO1Zf71RNJKBJPFmBlxYMQCAAAAAAATHs7jnVr7fyh84Akqb7ML0lq6aEaaDSEQAAAAAAAYFpr643qeFdk2J3BJKcSSJKaCYFGRQgEAAAAAACmtR3HuiVp5EqgciqBxoMQCAAAAAAATGsvHBt5ZzBJasiEQL1RbTvUrn3NPZKk/912REuv/526wvGpWeg0RwgEAAAAAACmtR3HurWwukSVQe+w52tKfTLGqQR62y2P6/KvbpYkfXfzAUnSvpbeKVvrdEYIBAAAAAAApiVrrbr64nq+sUtnLRi+CkiSPG6Xakt9Q9rBPG4n9jjSHp7UdRYLQiAAAAAAwKzW1RenXWiauuXhAzr78/fpcHtYZy0cOQSSpLoyv1p6IgOOmfR/H2wNTdIKiwshEAAAAABgVrvgi3/S2TfcV+hlYBhfu39P9ud1C6pGvba+3D+kEiizW9hLbYRAEiEQAAAAAGCW2XaoXV/+w2595b7dSqaswrGkJKf1CIX3vUcO6NfPNGp/S6+iiVT2+JkLht8ZLKOhPDAgBOqNJtTa6zxuC8VGfN62Q+264It/0vYjnae48unPU+gFAAAAAAAwld52y+PZn4939bcPHe3s08LqYCGWhBxf+N1OSdKaueWqLPGqq89p1asK+kZ9Xn25P1v5I0n7m/uHQbePEgIdbg/reFdEFYGZH5FQCQQAAAAAmJXmVwb0y6cas4/3NrGD1HSy60SP/uOqs1Xu92jDkuoxr68v9yuR6q/m2p/eEexli6vUMUoIdKS9T5I0v6rkFFc8/RECAQAAAABmDWutvG6jsxdV6eF/vERXbViUPZdpHUJh+TxOVHHjW87UpWvm6KnPvFo/+8D5Yz6vvtw/4PG+5l55XEbrF1WpPTxyCNTYEVZDuV8Br/vUFl4ECIEAAAAAALNGeyimeNLqzevny+t26d/eepZ++tfnSZK6I4kCrw6plFU8mdLHLl2pa89bIskJhbzuseOL+rKBIdD+ll4tqQ2qoTygSDylvvTsp8EaO/q0qGZ2tAESAgEAAAAAZo2mbqfaZ25FQJLkdhmdt6xWktTdxzbxhZRMWX3mrhdkrVTqP/n5PA0VA0OgvU29WtlQpppSrySNWA10rKtvVrSCSYRAAAAAAIBZ5HB7WJLUkA6BJCcIKvd71EMlUEF988F9+smWw5Kk4ARCoMHtYAdaQ1pRX6bq9EDp9t7hQ6C23pjqykYfOj1TEAIBAAAAAGaNu7YfVXXQO2S78fKAR90RKoEKZcuBNn3t/j3Zx6W+k5/PU+73yO8ZGHOsbChTZYlTCdQ1TKXX/S82qTeaUM0YO4/NFIRAAAAAAIBZIRJP6oFdzXrT+gXyewaGDBUlXtrBCuREV0Tv/9E2Lc6ZyxP0nXwlkDFmSDXQivoyVaRDoJ5BIV8kntT7f7RNklRDJRAAAAAAAMXvRFdEp336Hn3rof2KJlJ61er6IddUBLy0gxXI9iMd6okk9MW3rlNNqRPGlE2gHUwa2hK2oqFM5QHnXoN/v0c7+7I/15YSAmUZY15njNltjNlnjLl+hGs2GWO2G2N2GGMezu8yAQAAAACYmAd2NSuWSOnrf9orn8el89ODoHPRDlY4J7oikqRVc8oUSLdzBf0T2669YVAIVOb3qDzgVAIN/v02dvSHQDWlA583U40ZrRlj3JK+KenVkholbTXG3G2tfTHnmipJ35L0OmvtYWNMw2QtGAAAAACAk5EZBi1J5y6tUckw82YqSrza29w7lctC2onuqLxuo5qgTwGv87sp8U4sBMqtBHrX+c4W8+V+j4yRugdVAh3J+bvI7CA2042nvupcSfustQckyRhzu6Q3SXox55prJN1hrT0sSdba5nwvFAAAAACAidh5vDv788Wn1Q17DZVAhdPUHVFDeUAul9GC6hIdaA3JZcyE7lVf5uz69usPv0IvW1wtSXK5jMp8niEzgXIrgTLPm+nG0w62QNKRnMeN6WO5TpNUbYx5yBjzlDHm3flaIAAAAAAAg93xdKPee9uT6gwPv+13ro6cay5aNXQekNQ/E8ham7c1YnxOdEU0t9IJYb521Xp95i/O0GlzyiZ0r3WLKlVf7teaucPs/tY3qBKoI6yltUHtvOF1qgzOjkqg8YRAw8Vvg/+p8Eg6R9IbJb1W0meMMacNuZExHzDGbDPGbGtpaTnpxQIAAAAAIEm/fe64Htzdomu+u0V7mnr07u8/qX3NPcNemxkIvKK+VGvmlg97TXnAo2TKKhxLTtqaMbym7ojmVjghUG2ZX3/1ymUyE6wEumR1g7Z+6vIhLX8VJd5hK4EW1QSHbQ+cqcYTAjVKWpTzeKGkY8Ncc6+1NmStbZW0WdLZg29krb3VWrvBWruhvn749BUAAAAAgLHsPtGj0+aUaV9Lr17zH5u1eU+LHtw1fLFBd19c7zx3se79+MUjhguZbcRpCZta1lqd6I5oTsXktmOVBzxDdgdrbA9rYXXJpL7udDOeEGirpFXGmGXGGJ+kqyXdPeiauyRdZIzxGGOCks6TtDO/SwUAAAAAQOqJxHW0s09vWr9A33/PRq1qcFqH4qnUkGutteqJJFRR4pHXPfJX4Ir0DlJsEz+1eqMJhWNJza2c3N25qoI+tYWiiiVS2tvUo3AsobZQTAurg5P6utPNmCGQtTYh6aOS/iAn2Plfa+0OY8zfGGP+Jn3NTkn3SnpO0pOSvmetfWHylg0AAAAAmK2OtDsDfZfVleqVq+r0x79/lfwelzrDQ6t4oomUYslUNuQZSXnA2Tepu49KoKnU1O1sDz/ZlUAr6st0sDWkT/36eb36PzbrmcOdkjTrKoHGszuYrLW/l/T7QcduGfT4Zkk3529pAAAAAAAM1R5yBj3Xlvqyx6qDPnWEhg6JzrR3VQRG//pLO1hhnOiKSpr8EGjN3HLFk1a/eKpRkrS3yZkfRSUQAAAAAADTWFvICQ5qy/pDoKqgVx3DVAJl2rsyIc9IMpVAtINNreNdTlXX3EkOgVYPGgj+UntYkrSoZnZVAhECAQAAAACKSqYSqKa0f45MddA37Hbxmfau8rEqgdLtYrSDTa09TT3ye1yT3pa1or5MHlf/UPD9LSH5PS7Vl03uLKLphhAIAAAAAFBU2kMxuYxUlVPdU1PqU8cwIVC2Emi8M4GoBJpSO451a83ccnlGGdqdDz6PS8vrS7OPD7T0akF1yYS3oi9WhEAAAAAAgKLSHoqpOuiTK6eyo7rUq7ZhZgL1Rp1Qp9Q/eiVQwOuWz+NiJtAUSqWsdhzr1hnzK6bk9VbP7X+dlp6oqoO+Ua6emQiBAAAAAABF40BLr/Y29aqmdOAX+PlVJeoMxxWKDqzkyTwu9Y29L1JFwKvuPiqBpsoLx7rU1RfXectqp+T1Vs8py/4cTaQU9Lmn5HWnE0IgAAAAAEBRSKasLv3Kw3ryUPuA1h5JWpTe5elIhzPwt7U3Kmut+uJJSVLQP/YX/oqARz1UAk2ZB3e1yBjp4tPqp+T1ciuBJKnESwgEAAAAAMC09GxjZ/bnN5w1b8C5xTVOCHS4LaznG7u04Qv3687tRxWKOiHQeCqByku8zASaQg/tada6hVVDqromy5pBO4SN1SI4ExECAQAAAACKwoO7miVJ//aWs3TFuvkDzi3KhEDtYX3lj7slSbtO9CgcS8gYKeAd++tvRcDD7mCToK03OmTWUnsopu1HOnXJ6qmpApKkBVUlqs0JnEpoBwMAAAAAYHrpicR1+Vcf1n89sE/nLq3RNectHjAUWpKqg16V+tz6yZbDemh3iyRpXkVAoWhSpT7PuHaBqgh4aQebBOd84X5d+uWHBhx7ZG+LrJU2rW6YsnW4XEa//vCF2cdB2sEAAAAAAJhenj/apX3NvZKkS08fPjQwxmhRTVAHW0PZY9FESuFYYtwDgCtKPLSD5Zm1VpLU2jtw57ZH9raqptSndQsqp3Q9/pyKMAZDAwAAAAAwzXSF+6tzLlszcuVIpiUsoy+eVDiWHPeX/fKAl3awPBspVDvSHtaK+tIhFV2Tzefuj0FKxjEnaqYhBAIAAAAATGsnuiOSnMG+KxvKRrwus0OYy0het0mHQAkFx/llvyLgUTSRUjSRPPVFQ5J0tKNv2OOtvVHVl/uneDWSz0MlEAAAAAAA00YimdJX/7hHrb1RSU4I5HO7dM/fXTTqbJ9FNSWSpMoSr4I+jyKxpDMTaBzbw0tSRYlXktRDS1jeHO0cGgJ95+H92t8SUl3Z1IdAfk9uJRAhEAAAAAAABfXc0S59/U979YcdJyRJzd1RNVT4xxzunNkmviroU4nXfdKVQOUB5zpCoPx54kDbkGNfvGeXJBUkBPK4qQQCAAAAAGDa2NvUI8kJfyTpWGef5lYExnxeZiZQRYlXJT63IvGUQrGTqAQKOJVAzAXKj2TK6ldPN2YfxxKpAeerc7ZrLwRCIAAAAAAACmxvk7MTWHNPVLc8vF9bDrZrSW3pmM9bWO20g1WVeBXwuhWKJtTUHVFVcHxhQ3kmBGKb+LzYebxbneG4Xra4SpIUig6ssOqLFbbiqsQ7+wZDz753DAAAAACYdnqjCbmNUYnPrT3p7eAf2t2s413OUOiltcHRni5JCvo8aij3q7bUp+5IXFsPtasnktCFK+rGtYaKEtrB8inTCnb56XP0zOFO9UYTKvX3xxBvffnCQi1NUn9oOJtQCQQAAAAAKKjjXX16+Q1/1CVffkjxZEr70u1gmQBIkuaMox1Mkr557cv1sctWqcTrVnckIbfL6JWrxhkC0Q6WV08caNfS2mB2R7euvriu/MafJUmfveKMgswEykUIBAAAAADAFHtod4tiyZROdEd07wsndCwn/Ll64yJJ0rpFleO618alNVpaV6oSrzPv5ZzF1apM7/o1lsxg6NnUDtYbTSieTI194UlKpay2HmrXectqVZ6u/tlysF27TjgBX6b1rlCW1ZWOOWh8JqIdDAAAAABQUI/sbVFtqU9Ja3XzH3ZLkt7/ymUq9Xv08ctX6YY3nSmf5+RqGALpob+b1tSP+zmlPo9cZva0g1lr9dr/2Kx3bFikv7t8VV7vvfNEt7r64jp/RY3qy52Kn19sO5I9X+YvXBzx4g2vlWsWBkASIRAAAAAAoICSKatH97Xp1WfMUcDr0v88cViS9N5XLtOCKqddx+c5+S/smUqgTac1jPs5LpdRmd8za9rBTnRHdLSzT/taevN6319sO6I7nj4qSU4lULrCKlMFJL1JqhMAACAASURBVEkVgcLFEUHf7I1CZu87BwAAAAAUTFdfXLc8vF/ffmi/JOmiVXVaWF2SDYEyAdBEragv05q55Tp9XvlJPa/M71FvNHlKr10sMqFMW280r/f95C+fkyQtqinR/PTvsdzvUU/O7mBlBQyBZjM+dQAAAADAlPvP+/fqtscO6rI1DVrZUKbXnDFXAa9LLiNddvqcU77/hzat0AcvXn7Sc198HpcSqfzPyJmOdqdDoNY8h0AZL19cnf15XlVAPU39FUeztR2r0AiBAAAAAABTbndTt9YtrNJ/X7dxwPEdn3+dPO78BAQu18nfx+t2Tcqg5OmoPwSK5e2eiZzPbnldWfbneZUlOt4V0fev26gbf7czu2MYphYhEAAAAABgyh1oCemC5bVDjpekBzoXitftUixhC7qGqZJpB+sIx5RIpuRxn/oG4l3peUo1pT799cXLssf/9tKVau2NaePSGt35kQtP+XUwMYRAAAAAAIApFY4ldLwromV1pYVeyhBet5kVlUDxZEr7m3tVHvCoJ5JQeyimhorAKd+3I+yEQJ+94owBA5g3LK055Xvj1J16zAcAAAAAwEk41BqWJC2vn34tQbOlHexQa0ixZEoXraqTJB3riuTlvh1hp7WsptSXl/shvwiBAAAAAABT6kCrMyB4elYCzY4QKNMK9uoznCHcR9rDeblve8gJgaqDhEDTESEQAAAAAGBKHWwJSZKW1gULvJKhvB6XYsmZPxNoT1OP3C6jTac1SJIO5ykE6kxXAlUFvXm5H/KLmUAAAAAAgCnzpXt36dsP7ZfLaMDMmOnC5zYDdriaqV5qC2tBVYmqS32qK/PlrRKoJ5KQJJUHCIGmo+n3TxwAAAAAYEbqjsT13c0HVB7w6KOXrCz0coY1W9rBIvGkgumd2OZUBNTUfWozgRLJlBIpq1A0KUkq8xM3TEf8VgAAAAAAU+KRPa1KpKxuu27jtN0tygmBZn47WCyZks/jTIjxuF1KpE7tPd/w2xe141i3Xr64SiVet9wuk49lIs+YCQQAAAAAmBJ/2tmkqqBXL1tcXeiljMjrdimWmPmVQLFESj53OgRyGaXsxEKgG37zoh7Z26IDLSE99VKHjnVGVBag3mS64jcDAAAAAJh0yZTVg7ubdcnqhmldJeJ1m1nRDhZL9FcCuY1RcgKVQF3huL7/6EFFE0l19jkDoR/d38rOYNMYlUAAAAAAgEn3zOEOdYTjunRNQ6GXMqrZMhMotx3M5ZJSE3jLu050S5L2NvXqUKszWLozHGce0DTGbwYAAAAAMKm6I3G97ZbHJUkXn1Zf4NWMbtbMBMppB3O7Jlb9tOtEjyTpyUPtA44TAk1fVAIBAAAAACbV4TanSuSqDYtUWTK9tw73eoxis6ESKKcdzDXBdrCdx7uHPV5KCDRtEQIBAAAAACZVa29UkvT2DQsLvJKx+dLtYHaCg5KLRTR3JtAEB0PvTFcCZaxbWClJKmcw9LRFCAQAAAAAOCXRRFJ9seSI59tDztDg2jL/VC1pwrxul6zVhCpjikk0kZL/FAZDJ1NWewaFQOsXVUmSSv3u/CwSeUcIBAAAAAA4Jdf/6nm987tPjHg+EwLVlE7/XaO86Tk5iRkeAsUSyexMIJfr5EOgw+1h9cUHBn8N5X5dsrpeG5fW5G2dyC9qtAAAAAAAp+Splzp0uD2s3Sd6tHpuuSRn5kwomlB1qU+tvTF53UYVRdAm5HU729fHkikFvDO3oiV3dzC3Ofl2sMw8oIqAR92RhOrL/XrX+Uv10UtX5X2tyB8qgQAAAAAAExaOJXS43Rn8fOf2o9nj33hwny6++UE1doTVHoqqptQnY0yhljlumWAknpjZw6Fjg2YCnWwl0K7j3XIZ6fIz5kiSbrtuoyqD03voNwiBAAAAAACnYE9TrySp1OfW3duPZQcqH2kPqyeS0PW/el4nuqOqLZ3+84AkyeNKh0AzeJv4RDKllJV8bqfSyeUyOtnut50nerSsrlQ3vvks3fquc3TmgspJWCnyjRAIAAAAADBhj+5rlST91UXLdbSzTy+lt4NvD8XkcRn9eV+rNu9p0VlFEhJk2sHiM3ib+Fj6vfW3g538IOydx7t1+rwKlfjces3auXlfIyYHIRAAAAAAYMIe2NWssxZU6sqz50uSnjjQJknqCMd04co6vXJlnSTpvOXFMSw4E4zEckKgSHz03c+KTSwxMAQabTB0OJbQ3c8eG3CsOxJXY0efTp9XMbkLRd4RAgEAAAAAJqQ9FNPThzt06ZoGragvVV2ZPxsCtYdiqi316ea3r9PVGxfpstPnFHi145PZHSyWMxNo3efv09rP3luoJeVd5r35xzEY+h9+8aw+9rNntLepfzv4zM+r55RP8kqRb4RAAAAAAIBxC0UTSqWrRh7a3SxrpctPnyNjjM5bXqMtB9tlrVVHKKbqUp/mVZbopr9cp8qS4hgaXFfmzC460RXJHoslUic9M2c6298SkqRhB0Pva+7VB360TeFYQpL02P62oc9vdp6/ak7ZVCwXeUQIBAAAAAAY06P7WvW6r23WmZ/7g17/n4+oJxLXn3Y1q6Hcr7Xznbag85fV6HhXRHubexWKJVVT6ivwqk/e6fOc6pYX01ugz0Tv/O4TkvorgXLbwb754D7d92KT7nn+hCSpMxyXJEVzKqP2t/bK6zZaUFUylctGHhACAQAAAADG9NvnjuultrDecOY87W7q0QO7mrV5d4suXdMgl8sZpnz+8lpJ0q+fcbaKL8YQqDzg1ZLaoHYc6yr0UiadO/17cxujZLodbFFNUJJ0y8P7BwzHzp2RdLAlpCW1pfK4iRSKDb8xAAAAAMCYWnqiWlpXqq+842y5XUY/fOyQeqIJXbqmIXvNyoYy1Zb69O2H9svtMtmh0MVmQVWJmrujhV7GpDvW2SdpYDtYwOvEBHube/Wle3Zlr82dkXSgNaRldaVTuFLkCyEQAAAAAGBMLb1R1Zf7FfC6taqhTE8f7pTP49IrV/UHPcYYLa93woFzllRnq0qKjcftUmImDQEawZvWL5DkhECZOU+RnF3QfrLlcPbnTAiUSKb0Ulso+3tGcSEEAgAAAACMqbUnqvr00ORM29fqOeUK+jwDrptb6cyJWVhdvPNiPKNsmV7sEum2rv97+WmaUxGQlK4ESreD9cWTCnhdKvG61RdPammtE+RlQqDGjj7Fk1Yr6hgKXYwIgQAAAAAAo7LWqqXHqQSSpPdduEzGSB+9dOWQazNB0bzKwJSuMZ/cLjNjK4FCUafSpyzQH965jFEq3e3VF08q6PNoUY0T4r3lZQsl9c8EOtjq7Ay2jEqgokQIBAAAAAAYVUtPVLFkKhsCLa4Nav+Nb9Br184dcm1mVvDgCqFi4nUbJVOpsS8sQj1RZ7evcn//78ftUn8lUCylEq9bi2uCCvrcevUZcyRJ0YQTHp3ojkgSO4MVqeL9pxIAAAAAMGke29equ589pk+8ZrU+8tOn5XUbnbu0Jns+syPYYAGvW1L/9uPFyO2auTOBMpVApbkhkOlvf4uk28E+fvlpuva8qCpKnOsy7WChaGLI81E8+K0BAAAAAIa4ZfMBbd7Tot89d1w90YS+/s6X6ayFlWM+7/0XLVd3X1zvPHfxFKxycnhcRomkE4r8n+9tKfBq8qs3XQk0oB0sHeilUlaReFIlPrfOXOD8rlt6nF3S+kOgdIjkc0/ZmpE/xRvNAgAAAAAmRSSe1JYDbTp3WY2S1ur85TW68uz543puZYlXn3/TmUVdKZK7ZfrzR7sKvJr86ok4lTxlgyqBJKclrC+eVIm3P+DxpSu67nuxSamUVTiWkN/jksdNnFCMivefSgAAAABA3llrtfVQu6KJlD70qhVau6Ai2+I1W3hcRolUStbabPuTJCVTVu4R2uCKRaaSp3yYSqBkygmBcgOiTFvfI3tbdfvWIwrFEkUd8M12/OYAAAAAAJKcEOC6257UI3tb5XO7dN7ymqIe8DxRHrdTCRRNpAbMBoonU3K7ijsQ6wjHJEkVAW/2WCbYSlmrvlhSdekd3iTJl1Px09wTUTiaVJBWsKJF/RYAAAAAQJJ0+9bDemRvqyTptWfOnZUBkCR50oOhw7HkgOMzYVh0a68z46e2zJc9lm0Hy8wEyqn8yh0AHvC6nUqgWfp3MRPwmwMAAAAAqCMU081/2K0NS6r1N69aoYtOqyv0kgrG7TJKJge2gklSPJGS/CM8qUi09cZUFfTKm1Ph0z8YWkNmAuUKeFwKRZMq9VMJVKwIgQAAAAAA+vETL6mrL64vvOVMrZlbUejlFJTHZRRPpdQ7OARKpQq0ovxp7Y0OaPeSJHe62CeRSqk3klDJCO1eXo9LoVhiwMwgFBfawQAAAAAAauwIq6HcP+sDIKl/d7BwbFAIlJwZ7WB1Oa1gUv9MoJ3HexSKJbV2/vB/A/FEiplARY4QCAAAAACg9lBc1UHf2BfOAs7uYFa90UEzgZIzoRIoptpBlUCZdrDNe1skSa9cNXwrYCyZYiZQkSMEAgAAAACoMxwjBErzuF2yVuqJxAccL/ZKoKOdfTra0acFVSUDjmcGQz+8u0Ur6ks1r7JkuKcrGk8pHEuyRXwRIwQCAAAAAKg9HFNNKSGQ1N8e1dU3OAQq7kqgG3/3olwu6T2vWDrgeKYSaHdTj165cuSB4N2RuBMW8ndStAiBAAAAAGCW+5dfP68DLSFVBb2FXsq04BkhBEoUcSXQY/ta9fvnT+jDm1YOqQTy5GwDf+EwIdAP3rtRkrSnqVcpK62oL53cxWLSEAIBAAAAwCwWiSf10y2HJUl+DwN/pZErgWJFXAn04ydeUkO5Xx+4ePmQc+6cEOj8FbVDzm9a3aCqoFc7j3dLklbUl03eQjGpCIEAAAAAYJay1upVNz+YfXy8q6+Aq5k+MpUx3UMqgYozBDrRFdGWg+06e1GVAt6hQZ/L9IdAFYHhq8H8Hpeae6KSpGV1VAIVK6Y5AQAAAMAstfVQh5q6nS/2y+tL9bHLVhV4RdODx+3US3T3DdwiPpEqznaw87/4J0nO73g4mUqgslEGPmeqxOZWBBgMXcT4zQEAAADALPWzJw+r3O/Rlk9dpiDbfmeNNBOomNvBJKmyZPgqn0wlUNA3cjugz+MEYyMFSSgOtIMBAAAAwDjsOtGtG3/3otpDsUIvJS86wzH97vnjesvLFxAADTLSTKBiHQydeT9vXr9g1POjVfj4CYFmBEIgAAAAABiDtVa/3Nao7z5yUK//z8166qWOQi/plN35zFHFEim989zFhV7KtONxj1AJlCjOSqASr1vvvXCp5g/aFSwj3f2mkmHmBWVkQ6A6hkIXM0IgAAAAABjDB3/8lL7354OqKfXJ43LpM3e+UOglnbKthzq0qKZEp8+rKPRSph23y/mqPDgE6osnC7GcU2KtVSiWGHXeT6YdrNRPO9hMRwgEAAAAAJL2NPXo//58u97131v0ky0vDTh334tNkqTFNUH9n/OX6MXj3TrRFSnEMvNm5/FunT6XAGg4I80E6oslhrt8WgvHkrJ29FYvm+5yG60tMDMYmu3hixshEAAAAABI+vnWI7r72WN64WiXvrv5QPa4tf1zYJIpq/OX10iSnmvsnLS1WGv1862HdbgtPCn3D8cSOtgWogpoBJkQaLBwrPgqgUJRJ7gaLQTKvK/RBkP7PS75PK4RW8pQHJj+BQAAAACS9jb3as3ccl1x9nzddM8utYdiqin1qaUnmr2mL55UfblfktQRnrwB0TuOdeuffvW8JOmx6y/VV/+4R883dumLf3mWXr64+pTu/e/37tLWQ+2yVjovHWhhoMxMoMGKMQTqTYdA5aOGQM41o1UCLa8vU188mR0ijeJECAQAAAAAkvY392rj0mqtX1QlSXq2sVOXrG7QoZxqnBX1paoO+iRJHeH4sPfJh8f2t2Z/ftM3H80GUQ/uaj6lEKgjFNO3HtovSVpYXaLzl9We2kJnqMxMoMGKcSZQKOqseTyVQKPNBLr+9WsGVMWhOBECAQAAAJiVkimbrWroDMd0tLNP18xZrKW1zuDbxo4+SdLxLue/P/3G0/WOjYsU9Lnl87gmtRJo+5FOLa0N6l0XLNX/++2LqivzKejz6EBLaEL3S6asbt18QKmcL/EXLK+Vi6qOYeW2g330kpVaVFOim+7ZlW2tKia92XawkQOeK86er18/c1QfuHj5qPcyhr+XYkcIBAAAAGDW+cp9u/WDxw7poX/YpNoyf3bw80Wr6rLtXp+58wWd1lCWHQB99bmLszssVQe96ghNXgh0rDOihdVBvfcVS7XjWJeW15XqqZc6tK+5V92RuMr9nnF/IT/YGtIlX35oyPGXnWJb2UyW2/JUU+rTVRsX6+t/2qe+ImwHywRXo+0OVlPq050fuXCqloQCYjA0AAAAgFnnru3H1BNJ6MM/eVqplNXmPS2aWxHQWQsqBwQA//zr53W8K6Jyv2fAl+jqoG9S28GauyOaUxGQy2X01Xes10cvXaVVc8q1u6lH6z53nz7/mxfHfa/tRzoGPH7/K5fptvdu1NUbF+V72TOGN2cmUKaCJuhzF+VMoMwOZ6O1g2H24K8AAAAAwKyTCXS2HGzXA7uataepR2vnVwyprqkr9et4V5/mVgYGHK8O+tQ5Se1gqZRVc09Ucyr8A45/8OLlWlpbqu/9+YAe3deqpnRQNJZYIjXg8RvXzaMKaAy5M4Ey4UnQ71G4CGcCPdvYqaDPrcU1wUIvBdMAlUAAAAAAZp3mnqjeds5CLawu0X89uE8HW0NaNac8e35htbMNdktvVE8caNfSutIBz68u9ap9ktrBWkNRJVJ2SPBUW+bXNect1tr5ldrb3Kvz/u1P4xrUm6lY+srbz9Zr187JDr7GyHJnAmVDIK9bfbHimwm05UC7zllSLa+br/8gBAIAAAAwyySSKbWFoppfGdBfX7Rczx7pVDxpddqcsuw1d33kQm1YUq2DrSGlrNW/vOH0AfeoCvrUmed2sEf3ter9P9ym9/9wmySpoXz4Kp/aUl/25x3HutUVjme3+B5ORygmn8elt758gb7zrg0M9x2H3JbA0vS26cXYDtYeiml3U4/OX84ucHAQAgEAAACYVVp7Y7JWaqgI6B0b+ufibFrdkP25tsyvS9Y0yBjp6+98mZYNqgSqCfrU2RdXKpWfLbP7Ykl98MdPafuRToWiCb3xrHnatLp+2Gszg6sl6fH9bXrrtx/Vp3/9woj37gjHVB30Ev6chNz5T5mZQCU+d9ENhn7yYJsk6bxlNQVeCaYLZgIBAAAAmFVeanO2WZ9XGVCJz627P3qh3C6jmpwKG0m67hVLdemaBp0+r2LIPaqCXiVTVj2RhCqD3lNeU0tPVL3RhD57xRl6+4bRBzaXePu3+v7RE4d0pL1PdWX+Idcdag3pod3NOtYZUXXQN+Q8Rpb7eeZWAoWKpB3sn+94XiVet1LWKuB1ad1CWgDhIAQCAAAAMKts3tsit8tow1KnOmKkL8ilfs+wAZCkbKjSEY7lJQTqjjitZRUlY98rmjPo+Uh7nySpJzI0nPifJ17S9/58UJJ0Ae1AJ6XE1x+0ZWYCBbzuIUO2p6ufPXlYkrRmbrnOWVItn4cmIDj4SwAAAAAwqzy4q0XnLKlW5TgCl5FUlzrP7cjTDmGZEKc8MPb/T/+2cxbq5YurtGGJs8NXwOvKhki5OsJxVQQ8Wr+oShesIASaqExrmM/tGhDAFYPdTT06bxm/e/QjBAIAAAAwazR1R/Ti8e4R5+2MV24lUD70ZCqBAmMHU/Xlft3x4Qv1F+vmaV5lQFeePV/dfUNDoK6+mBZWB3XnRy7Uxy5blZd1zkYBr/O12e8tvhDIWjEUGgMQAgEAAACYkX733HG19EQHHHt4d4sk6ZKcIdATkQ2BQvnZIexkKoEyrrtwmR75x0s0tyKgnmhiyJDqznBcVXloVZvtMgO1/R63kimrRHJ6B0HPHukc8PjsRZUFWgmmI0IgAAAAADNOV19cH/np09p44/0D5rg8uLtZcysCWjO3/JTuX50eIt0Wio5x5fhk2rnKx1EJlMvjdqmixCtrpZ9vO6KrvvO4oglnB6vOPkKgU/G+C5dpfmUg+zgzVyc2zUOgN33z0ezPcyr88nvco1yN2YYQCAAAAMCkstbqsf2t6o7EtftEz5S8Zmtvfzjzju88rqOdfYonU/rz3lZtWl1/ytulVwQ8Cnhdau7OTwg0kUqgjMxzHtjVrC0H2/W/W49IciqBTmXu0Wz3r1ecocf++bLsY38mBJrGLWHxQQHVFevmF2glmK4IgQAAAABMms5wTJ/432d1zXe36D3ff1Kv+8/NevFY96S/bnvImdXzznMXaW9Tjz571wt66qUO9UQT2nSKrWCS0yI0tyKgE92RU76X5MwECnhd8rpP/itaZo7Q8S5np7BvPLhPkXhSXX0xVZawNXy+ZCqBpvNcoM5wf3viuctq9E+vX1PA1WA6IgQCAAAAMCmeeqldr7jpAd3xzFFJ0jOHO2Wt9B/375n0186EQNeet0SvWFmnxo4+bTnQLmOkC1fmZ1BuQ0VATTkh0JMH2xWODd2qfTx6IomTbgXLyGwrf6wzIr/HpabuqL73yAHFk5Z2sDzKtFVF41MfAt3+5GH96qnGMa/LHVR+9cZFEwoVMbPxFwEAAAAg7/Y19+i3zx1Xylrd+/GLFPT1zyX544tNeq6xc5Rnn7pMCFRT6lNtqU9toZheag9pXkVgwmHLYHMrAmpKt4O1h2J6x3ce18dv3z6hezkh0Mm3gknKfrbtoZjOmF+hVQ1lumv7MUlSNSFQ3mTbwZLJKX/t6+94Xp/4xbNjXtcR6g+Bgr6J/T1hZiMEAgAAwJT5084mPbynpdDLwCTb39Kry7+6Wbc9ekgrG8q0Zm6F5lQ4A3aX1AZVHfTqOw8fmNQ15IZA1aU+dYRiOtwW1qKaYN5eY26l0w5mrVVf3AkGHt3XOqF7dfbFsjuOnazcL/tlfo+qS33a29wrSZpfVTKhe2KoTDtYpACVQMPpDMf0hx0ndMfTjWrucSrSOnLawUr9DITGUIRAAAAAmDJ/9cNtes/3n9QfX2waci6RTA3ZzhvFqamrv0VqZX2ZJKmh3C9JWlQd1MsWV+tIR3hS19DWG1PQ51bA61ZtqU+JlNWOY91anMcQqK7Mp1gipd5oQn3pNrBQLClrrR7e0zJky/bBjnX2ZUOjznBcVRMc4pxbZVUe8KjM3x8KLSAEyhv/NJsJdNM9u/TBHz+lv//fZ/Xth/ZLcoKhDI+Lr/sYalx/FcaY1xljdhtj9hljrh/luo3GmKQx5m35WyIAAABmgtxZKZ+58wX1RPr/H+ub7tmllZ+6RxtvvH/I7jYoPm05LSkbltZIUrYSqKbUpxKfW6HoxGbnjNfh9pDmVva/piT1xZN5DYEylTsdobjCsf4Wod8/f0Lv+f6T+tHjhyRJP3vysN5+y2O6+tbHs0FnJJ7UK256QNd+b4v2Nfc6O3lNsHWrJCcEKvN7BoRCVALlT2YmUCF3B8t97fZQTMvrStVQ7ld3n/PPU24lEP9biuGMGQIZY9ySvinp9ZLOkPROY8wZI1z3JUl/yPciAQAAUPwyW2m/+4IlauqJ6OY/7JYkbT3Urlse3p+9rq03NuzzUTwy27M/ev2luubcxZKktfMrJEm90YRKfe4BoUm+JZIpbTnQrvOWOQOgq0v726zWzKvI2+tkwqWOcEx9Oe/npfaQJOl4uiLqa/fv0dZDHXriQLt++5wzqye36u22Rw+qqy9+Cu1guSGQN1sJVFfmV8BLS1C+9O8ONvUzgTLacwLWcCypqqBX5QGPIul2xEwlkNdtdNaCyoKsEdPbeCqBzpW0z1p7wFobk3S7pDcNc93fSvqVpOY8rg8AAADTVCSe1KHW0Livb05/6X31GXP0nguW6sdPvKRfbDuiv/vZM1pQVaKvXbVekmgJmwHaemNyGWleRUAul5EkXXH2fEnSvMqAgj7PpFYC7WvpVU80ofOWOVVI9WX+7Ll1C/P3xTgTLrWHYwrH+4OB9t7MF3GXWnqi2eHRUv88me50JVx10KtfPtWo3mhiwu1gAU9OCBTwqDQdAs2t9I/0FExAdjB0ASuB2kL9f0uhWEKlfo+CPk+20rIjHNPcioD23viGAeEnkDGeEGiBpCM5jxvTx7KMMQskvUXSLflbGgAAAKazT9/5gjZ9+aEBbV2jyQwubSgP6B9eu1pel0uf/OVzOtYV0RfecqaW1DptOi29kdFugyLQFoqqptSfDYAkpy3p3o9fpH95w+kq9TuVQNaOPjNnojJB4oJqpxXqjHkVKk1Xy2Ta0vKhvx1sYCXQc0e7JDmVIzuOdQ14TiZAyLTvfPzy07IzZia6nXvu51zu92Tfa00pIVA+BbyFnwk0oBIomlTQ51aJ150dTN4eik/47wizw3j2jDPDHBv8v9Zfk/RP1tqkMcNdnr6RMR+Q9AFJWrx48XjXCAAAgGnogV1OAfiepl6ds6R6zOuPd2ZCIL/K/B7Z9L9S/tPr1uiS1Q1qTA8KphKoeDR2hPXTLYe1em65uvviuuLs+XrmSKe2HupQXdnQKoQ1c51WrKDPo0TKKpZMZees5FPmi3ImpHG5jB7/l8vUFR5fYDleNen7t4diqspp5Xr2SKckpxJox7HuAc/JtBJlKoHOWVKtV51Wr4f3tKhygu1gucoDHqXS4Vqpj1awfPK5nc9zqkOg3LA0FO0PG0OxhEp9HkXiqWwbWGd44rvMYXYYTwjUKGlRzuOFko4NumaDpNvTAVCdpDcYYxLW2jtzL7LW3irpVknasGHD5MT+AAAAmBIl6VkjzxzuGDEE+vSdz+uBnc26/QMX6IePH9LqOeXZ/5f6zesX6BdPNWZnxtSlW3YIgYrHHU8f1bce6p/n9Jm7dkhyhhN/7LKVIz4vE06Eo8lJCIePWwAAIABJREFUDYFqctphKgJeVQTyWyFRHvDI7TLqDMflz5m9kwkJvG6jpw93DnhOphKoJ5LIruuDFy/X5r0teRla3VDhVzy9KxnzgPLL7y1MO1gsZ8Bz7s99saSCfrfCMbeOpyuBOsIxrZ5bPqXrQ3EZTzvYVkmrjDHLjDE+SVdLujv3AmvtMmvtUmv/P3v3HR5HYeYP/Dvbi1a9Nxe5944B04xp4SC0EDocyS+Bu0BySUhIISEhvfdcOEIu7SChhFAMoWOwscHGvcuyrWZ17Wp7m/n9MTujWWlXWkm7Wkn+fp4nT6RtGouVtPPu+35faTqAJwH8x8ACEBERERFNLcrmmW+9cBCf/dsuNPXEr/yOREX8ZWsjWl0BfGfjQTT3+nHnuulQOse/dfUivP2FC9SNSBajHnlWY1x+Ck1srU4/inNMePwTa9XLfvrRpdjxwAZ84ty6pPezxTJrvKHM5AL1eOVMorxRZuykSqcTUGAzoscXUlfEr6jNj7vN4E4gZRxM7gTKtRpw1qxivP+VDVhWE3/f0Sh19I+7sQiUXiZ9doKhtUUn7cdKJ5BNE7Tu9IXjutKIBhq2E0iSpIggCJ+CvPVLD+BRSZL2C4JwV+x65gARERERnWb+b1sjOtxBrJxWgHnlDjyxoxnP7zmFR25fhXPnlAAAmnv96u1f2t8GAKgryVEvMxv0qBnQ+VBTaEVTb3wxiSaWXm8If9vehOlFNrQ4/agqsGHtzCI8/om12N3kxNXLq4d9DGWbVaY2hCnjWXpd8qiKdCmwmdDrDaHUIXeyrZxWoHb/dHlCONntw73rZyEYFfHXrY39mUCxcTDtJq90KHWYEYh9X5UMG0oPc5YygYIJikBRUUIgLMJmMsBiiiAQljO2nP4wCpgJRENIZRwMkiRtBLBxwGUJiz+SJN0x9sMiIiIioons9+80YFqRDY/ctgoFdhM+tX4WrvjlZvxte5NaBDoe2xz22Yvm4CevHAEATC+2D/m404rsODCgc4Imju0nenDr79+DPxzFrNIcSJKkjp6snVmEtTOLUnocuynWCZTGDWGSJOH37xzHRQvK0OMNjduJcIHNhB5vCP5wFCaDDos0a7mVbKDl0wpwwdxSvLi3rT8TyB+B3aSHQZ/eQk1RjhnWDIRgU38n0LiPg8UVgeTnj7INzG7WwxaQO4H6AhFERYmZQDQkloaJiIiIaEQaOj041unFnWfPUFcQV+RZcd6cErxztAtRUYIkSXh083EAwE1n1KKuxA6H2YCiYVYWTy+yoanHh0g0e9t3KLkX97VBlCRctqgc9R3y86Ayzzrix0l3J1BTjw9vHO7At144iPN++CY2HelMW2fNcArsRjh9YTmfxaTHgopc9bqdTb0AgIWV8mVmg07t6nAHwsjNwLiaXifgo6tr8OAVC/CxdTPS/vinM4NeB71OGPdxsLhOoNjvRuVnx2rSw2qSt4P1DghEJ0qERSAiIiIiGpFXD7YDAC6cXxp3+dqZhXD5w2jo9OB4lxdvH+3CVcsqUZxjxneuXoyvXbEAQ22SBYDpRXZERAnn/uANfP+lQxn7N9DoHGl3Y1ZpDs6YUahedumi8hE/jj02AuVJQydQKCLihoe34s7/3a5edv68UnztigVjfuxUFNpN6PGF0NEXhNWox4xiO8wG+TQrEBZhMujUnB6zUad2dXR5gmk9Wf/PC+pw4Tz5Z9Ko1+GOs2fAmOYuI4oV8sIiuj3jl12mLTopzx+li85uMsBq0kOSgLY+eQNjgZ3jYJRcSuNgRERERESKVw90YEFFLqoL4vN8lscCcXc1OdWTz0+eJ4cDnzGzCGekMCr0ocUV6PKEsOVYF3775jGcP6ckpfvR+Dja7sFZdUXqf/u5ZQ6sml44zL0GqymwwWzQ4ZN/3gGHxYAdX70IJsPoChZP7mhGi7M/f2r31y/OeCC0VoHNhE53EC/tb8OlC8th0Ouwenoh3qnvAgDkWvpPuUx6uRPI5QvjSLsHCypzkz3siN13yby0PRYlZzbo8H/vNeKRd47j+XvWxY3/ZUpzT//zWykCxXUCxQLAW2M/BwyGpqGwNExEREREKevxhrD9ZA82LCgbdN3M4hw4LAa8U9+Ff+5qgdWox+zSnASPkpzdbMDd59fhVzeuAADsaXal5bhp7Bo6PWjrC2BhVR6qCuQRsIsXDn4epCLPZsR1K+UAaXcggg53AJIk4ccvH8ahttQzoUIREb9+ox7LavLx4BULcPXyqnEtAAHxoze3nTUNAPDwbSvV4o8S/AzIYeihiIjlD70sh2rnj3yUjrLLZNCpBZgj7e60PrY3GEGnO77DSJIkfPxP/V1uwWj8drk8q1EtAp1yxTqBWASiIbAIRERERGnl9IVwxx/eG7QunKaGrQ3dECXggrklg67T6QRsmF+Gf+5qxRuHO/HpDbNHHXprMcUCWJkNNGE8/UELdALwb0sqML8iF89+6mz814Y5o368C+b2jxN2uINw+sL45ev1uOl/tqX8GM/tbkWL04//umgO7jh7Bn760WWjPp7RKtDkXCkn3zaTAQ6LXIzK0XYCGXRw+kMQJflzBjdPPmaDPmOP/aOXD+OGh9+Nu6w7lvOjUDqBXNoiUCxjS+mI43YwGgqLQERERJRW+1r68ObhTjz2XmO2D4UyoDFW3Jtd5kh4/a1nTkNtoQ2/vXkF7oqNgo2GUSe/TA2zCDQhHOv04Fdv1GPd7BK1cLGkOh+6MaxgXzOzf4ysoy+Ibq/cAdEz4KR3uOMy6AScO7t41McxVoWa/BVt0LOSCxTfCaTD0Q6P+rlhHFbYU3qZRzm2mIpOdxANXd64DKB6zfMFkEOiO/oC+OzfdwMA8m2aTiCnHzoByLWwCETJsQhEREREaaW8O/ns7lZIkpTlo6F0OtLuxv7WPhTYjHEntloraguw6QsX4LLFFWP6WjqdAINOYBFogvjSU3sBADetqUnbY+ZajHj+nnUAgE53AJ3u/uJPKCLiOxsPDhqNGajXF0K+zTRs4HgmaUdvHAO6fgAgx2yMu0z5tXjzGbW46Yza8TlISpvRZlelIhQRIUlAqzOgXnZ0QBEoFBHxrRcOwh+WC0V5ViNsJvl51+oMIN9mGlNxlqY+FoGIiIgorZQiUHOvHx80OrN8NDQSLl84adGludeHi3+6Cc/tbh23zBWjXodwlIXEbItERextceHq5VW4dNHYinsDza/IhU6Qx8G6NNuWtp/swcObGvDFp/YMef9ebzjroy+FmnGwHFN/EUgJR9cWhpRRouoCK7599WJ1SxpNHpnsBFJWwTdqxqmPaYpAZoO8XS4i9v+ethr1sMbGZ+s7PSh1mDN2fDQ1sAhEREREaaUUgYx6Ac/tbs3y0VCq3IEw1n3/dZz1vdfh8oUHXf/oOyfUjwdmVGSKUS+o+Rc0PtpcgbhRFEA+sfSHozh3TvpHrvQ6AUU5ZnS6g3Ert3c3yYHg7x3vGfL+vb5Q1kNwtZuYtB0YpkTjYEb5suW1BeN0dJRu2k6gdDegKT972ky9ox1uLK3Ow/HvfgjTimwIRUSY9NpjEGA1ys+xqCildeMcTU0sAhEREVFaufxhGPVyQPDze05xJGyS2HKsG+7YZppHNx+Pu+7hTcfw6Obj+OiqGnz+4jn49U0rxuWYTAY9x8HGUVSUsPa7r6lZIwplQ9uS6vyMfN1ShznWCdRfXPzTuycAAJ5gZMj7yuNg2e0E0q6A1zLq5QpBzoAV8QCwrCYz30vKvEwGQytFb20RqL7Dg7rSHAiCAJNBh1BURESM/7uqBEMDwOJxWFlPkxv7D4mIiCitXP4w8qxGLK3Jx4v72uAPR9W8Apq4ntrRjByzAWW5Zuxv7V/RvbWhG9/ZeAiXL67At69eNOptX6Nh0jMTaDwpXXyvHGiPu3xPsxMOswEziuwZ+bpyESiA4hwTShxmzC7NwZZj3er1oiglzTjp9YWxvCa7nUDJ8oiU+neiTiAWgSav8RgHa+qVi0B9gTDa+4KYXSoH8Zv08jhYIBzfrWfTFIHqSnIydnw0NbATiIiIiNKqzx9GrtWI/FhujDPBaBFlxz93tWD6/S/AO6C74vk9rXj5QDvuPr8ONYU2tPX51eveONwBo17Ajz6ydFwLQABgNDATaDw5fXInzsCT3D3NLiyqystY2GyJw4yOviAae3yoKbDiyqWVcdd7Qom7gSRJgtMXilvRPpG098nhviU5/RktpQ4LHBYDFnJkZ9LKRDD020c7Mf3+F3CyWy7+KJlAymawWaU56tcORUQ1P+ve9bMAABZjfxEo2+ORNPGxCERERERp094XQKvLj3yrUc3J6PWNT34MDe/hTQ0AgO0ne9XLuj1BPPDMPiytzsMnz52Jijwr2lzyyesbhzrwyoF2LK7Kixs3GC9GvTz6QOOjN1aw1Y67BCNRHDzVhyU1mRsxKXVY0OUJ4kSXD9OK7LhsUYU6SgXIheVE+gIRhKNS3Ir2bLnvkrn4xpUL4y47ETuhP29uiXrZrWun4Y3Pnx930k6Ti/bnQ0B6CqOPvdcIoH/8salHLsQPLgLp0eUNornXj1vXTsNnL54LIL4TKNvjkTTxsQhEREREaRGMRLHhJ29hZ6MTlflW9YVoopBhyo6ZsTGBrQ39ozavHepAry+Mh66SR70q8izo8oTQ0RfAv//v+2jo9GJRljImjHodwgyGHjeJOoEOt7kRjkpYmqE8IAAozTVDlIC2vgBqC23Isxlxw+paVOVbAfSPqQ2k5KZUF9gydmyp+s8LZuH2s6bHXfa9axbj2hXVKMu1qJeZDDoU53B702SmjPQBgIT0dCoOHCl0+cNw+cOo7/DAZNChpkD+WTDpdWjo9MIfjuKGNTXq7Y2aLs08FoFoGCwCERERUVq8e6wb7kAEM4rt+NoVC9QiUC+LQBOGL/Yu89H2/pXDR9vdMBl0WFgpF3rK8+QT1q2arUzak9jxxEyg8fOPnc24+68fAIg/yd3XIudDZTJsVrvSurZQLug8dNUi/OgjSwEkLwI1x3JTlPtMNDesqcWPr1+a7cOgNNNu5krXryedpgik/Dw09fhwyhVAZZ5FHcVVCrTXrahWf2cP5DAzg4+GxmcIERERpcXLB9phM+nx4qfPgcWoV0NRnX6Og00UXbHV7i3O/syfox0e1JXkQB/Le1kzvRAGnYAfvHRIvU22ikBGPTOBxkN9hxuf/ftu9WdWO+5ysscLk16nduVkQomj//lVkd//ca5VPlVJNg6mjMzUTIBOIDp9aIukUTE9VSBt3Nas0hx0uINo6vHBHZAz9hQ5ZgOsRj0+f8ncpI+VLKicSMFOICIiIhozUZTwyoF2nD+3RM26yIu9cH1+N9fETxRdbjlMtKW3f/3w0XYP5pT1b5OZXmzHnetmoLm3v1BUlpud8RVmAmWeKEr44lN71Z9XADBozkhbnQFU5FsyFgoNxHcClWoKQsox3fWXDwZtQwLkTiCHxcDxFxpXZk0nULqK1NpOoNmx/J/GHh/cgUjcdrn/umgOnrz7zKwV5mlqYBGIiIiIxmxXsxOd7iAuXlCuXqYUg95t6MZPXzmSrUOjGEmS0O2Vi0B9gQjcgTA8wQhanH7MKXPE3fae9bPiTsyz1gkU24RDmfP83lPYcbIXD1y+AHfEMm20BZdWpz+jXUCAvB1MoS045mu2HP1rf9ug+8mjMpk9NqKBzJpQ76iY/iJQUY4ZDosBLU4/3IEwHJb+IlB5niXpGBhRqlgEIiIiojF7eX87DDoBF8wtjbv8zx9bAwD4oNGZjcM67YWjIo51yvk/Tl8YgbCI5bVywO/RDg9+99YxAP2bZxQOixG/ummF+nlJloJsmQmUeTsbe2Ex6nD18io8eOVCXLOiCr5QFF2eIKbf/wJ2nOxFZYaLQNpNWdquhxyzAd+/djF0AvDE9uZB9+twB1GapS41On1pg9MjaSoCaZqLYDboYDcZEAhH4QlE4LCk1ulWnGPCzBJ7Wo6HpjZmAhEREdGYvXygDWfMLBw0lnHO7BKcPasI/gSjHJR59z2xG8/sasXOBy7CkXY3AOCOs6bj4Kk9+J9NDXhxn9xdMbATCADWzCjEe1+5EFsbelBgNw26fjzImUCjLwK9c7QLj73fiF/esDyj40yTlSRJONzmxqzSHPX7YzPp4Q9HcaC1T71dpjuBtAbmmXx0dS1OuQL4+WtH0dzri9sE1ukO8qSXxp3JkIlMoP7nvdmggynWBekOROI6gYby3pc3pOVYaOpjJxARERGNyfEuLxo6vXGjYFoWgz5hngdlliRJeGZXKwBgb4tLLQKtnl6IK5dWqgUgh8WQdLtSqcOCK5dWjs8BJ6ANho6KEu768w58d+PBlO//4HP78cKeU9jVzE60RH7z5jFsOdYdl8NjNerhD0XR6+sPdF9Snfnxk0K7Ka4LSOvaFdWQJOCpHS3qZZIkodMdjDt2ovGQiU4gbfHTbNTDqBcQjIjwhFLvBNLpBBa7KSUsAhEREdGY7G6ST7DPmFmY8HpLrLOAxpeyOQkAXj3Yjr9vb0auxYCKPAtuO3O6et2Lnz5H3Qw20Rj1/ZlAPd4QXtrfht9taki5qKgUL14/2JGxY5zoIlERTT2+hNe9cUj+vly8oEy9zGoywB+OotUZUC9bXluQ2YMEsOX+9dj+1cSdDDWFNpxVV4QnP2iCGDvpdvrCCEXFuOwqovGg3Z4XTdv2wv7HMel1MBn06PWFIElc+U7pxyIQERERjdquJic+87ddAIC6kpyEt7Ea9QiEWAQaL22uAL7x3H78ddtJ9bI/vXsSxzo9+N61SyAIAhZV5WFZTT5sJv2EDtY1GfozgbSFH28wktr9Y0EbLU7/MLecup76oBnn/fANbD/RM+i6sChh3axi3LCmVr3MZpJPcHc29gIAbllbi8JxGAe0GPVx2UADfWRVNZp6/NgRO65OjxxyXsIiEI0zUwY6gUKR/scxG+VxsI4++Tme6jgYUar4jCIiIqJRe/VAu/qxUZ/4vSWLUYcANzyNmy88tQebjnQCkIsgz95zNh7e1IC7z6vDbE32z/evXYKT3d4JPT5g0mQCaYtA7kAERSmEVSsdaF2xgsHp5GS3F5IEHOv0QpSA+5/eixfuXRfXxdDq9GP9gDB3pZj78oF2zCnLwbeuWjyux53MmTOLAQCH29xYPb1QLQTm8ASZxpk5LhMoTUUgTfaZxaCHSS+gocsLACmPgxGlir81iYiIaNSUGINf3rg86W2UjBHKLEmS8M3nD2DTkU58dFUNVs8ohEEnYF55Ln5y/bJBt59b7sDc8sGB0BOJNhNIO1LoSbETSHnedXtCw9xy6vAEI/j6P/fj6Z3NsBr1kCT5pLW+w4PfvnkMn9kwBwAQjETR6Q6iIj8+U+eiBWV4+wsXYOPeU0m7+7KhxGGGQSegNdbVpTwfLIbk3UNEmaAtpKavE6j/91tlvjWu22htklFrotHiOBgRERGNWpcnhOIcE64YIjzYYtQjEIlCktKVnUCJHG534w+bTwAAagqtuG5lNa5aXpXdgxojo0GnvkOuLSS6AykWgcbQCfSXrSfxvRcPjfh+2fa395vw1AfNuGJJJfKsRvjDUSyszMVVyyrx6zfqcazTA6A/MyrR5q+aQhs+eV4dNmiygrJNrxNQlmvBH7ecQJcnqHaGWU0sAtH4Std2sEA4ivuf2oP2voCafQYA04ps6ijr5YsrUup6JBoJFoGIiIhoRHq9Idz+6HvY0+xEtyeIIvvQL1AtsW6EYJpGwjrcAXz415vx6zfq4QulVgyYDALhKC792Sb8c1fL8DdOYHN9t/rxVMlJUVbES5IUN1LoDoRTur9SKOjxhtRA4VT9ZetJvLTv1Ijuk20dfQE8uaMZDrMBP79hGb5/7RIAQGOPH/ddOg/hqIR3jnYBAN49Jv//6umTp8vA5Q/DG4riOy8cRCAsPx+sQ+QIEWVCuraDHTjVh8ffb8Jj7zXGjYPZzQZ1vNps5Ok6pR/HwYiIiGhEdjU78daRTuxtcSHHbEB1wdDBwspJWiAcHTL4dSBRlBARpbh3XQHg0Ck3djc5sbvJied2t+LFT58Tt153MuroC+Cnrx7BoTY3Pv34LnT0BfH/zp05osfYXN+lfjxVikBmgw6SJOdlaDuBUh4HixWBIqKEvkAY+bbUAo7dgTCOtLtRMYFDsxO58CdvwR2IYGaJHYIgYM0MucDz0dXVqMyzwGLUoblX3hS2ub4b1QVWTCuyZfOQRyTPaoQnGIFeJ6jPBxaBaLyZ0pQJpHQ0/mt/+6ANYMrXGMnfTKJUsbRIREREI6JkcoQjIhp7fMO2qlvUItDIOoEe3Xwc5//wjUFjZEr3z+WLK3CozY1eX2pdIRPVobY+nPODN/D4+03qZd/eeBC/ev1oyiN04aiIbQ2aTqAcyxC3njy0z53AKDKBtM+59r7UR8J2N7kgSvFhrROVJEnYXN+FW3+/TT2pdMZ+JixGPQ49dCk+d9FcCIKAqnwrmnvln9+DbX1YWp0/qQqof/rYGgCAQS/0ZwKZeDpD4ytdnUCe2M/rwVN9aOjyoirfitc/dx6A/iIQi5yUCfytSURERCPS0uuHQSfgr//vDDjMBkwrHLqTwBo7SdMG+6birSOdaHUFBhWPvEH5cVZOKwAANPb4RvS4E0kwEsXPXz2KcFTEK/91Lm6MrepeXJWHH718BA89fzClx9nd5IRX0ylTmJP5ld7jQdtF5g+PIhMoFMXMYjsAoMWZ+vPkg9ga8tAk2Gr32sEO3PzINhxqc+Pj62YAAAps/duELEa9ugGuqsCGFqcf/lAUjT0+zC6bOMHPqagryUFdiR19/ohaFGSnBI03s+Y5FxlDoVg71trlCWJ+RS5mxsLYlUwgC8fBKAM4DkZEREQj0ur0ozzPgiXV+Xj7ixfAbh765YSyvScwgiKQJEnY0+wCIOeAaMNflU6geRXyZqvGHh+W1eSP6N8wUfx9ezNe3NeGEocZs0od+Orl83H18iqsnl6Az/19N/747gl84dK5w57ovlPfBUEA/nznGfjnrhaU506NTiBb7L+7PxSNe/40pVj4C4SjWFCZi4Yur9oBkwqlCBSeBJ1Ah9r6AABvfP585JgNmFPuwJokOT9V+Vbsa3HhWKcHkgTMKZvY2+ESybUa0RcIcxyMskYp0ABj7ASKdTROK7LhZLcvrsNI6dDj9jvKBJYWiYiIaERanQF1o1C+zaQGWCZjUU7kR1AEOtntg8svv0uq/L9C6XiZV54LAGjs9qb8uBPNyS752L979WIAciDomhmFEAQBFy8sR1SUMO+Bl4YtoG2p78biqjysm12MH35kKfS6yTPiMxSl+HX+j97EyW658FOZZ8Hj7zdhX4tr2Pv7w1HUFNhgMujQkmIRSBQl7Gx0ApgcnUA93jBsJj1yYsXY61fVYHqs+2mgijwLerwh7G+Vv3ezSydXJxAAOCxG9AUi8IejMOiEYX//EKWbNqx5LJlAfbGOxmuWVwMAjPr+39tKkD073SgT+FuTiIiIRqTF6U+4VjoZdaQnlHoRaHezU/14YBHIF4xAEOSRlxKHeVKPg/X4QqjMsyRcxb2kOk/9eKh/ozcYwQeNvTh7VnFGjjGbtB1gT2xvgiAAT959FgrtJnzz+QNDZiZJkgR/OAq7WR+XhTOchi4vXP4wqvKtiIjSiLeKjTenL4SCFAOvS2OB4e/Ud8OoF5IWiyayXIsBbn8YgbDILiDKinRmAuWYDbhscTmA+MBpUVKKQDxdp/Tjs4qIiIhSFomKaOsLoHIERSBlpMc7kiJQU3+XR9+AIpAnGIXdZIAgCJhWaFM7RCajTncQJUlGtyryLDhzZhEAqBudEvmgsRcRUcJZdUUZOcZs0p7ke0NRWAx6VOZb8dmL5uC94z341/62pPcNRkRIkvxOenWBFc3O1IpAe1vkAuTq6XLmVFic2N1Avb4QCuzG4W8IoCz2XNtc34UZxfZJ2UWj7QQyswhEWaAdB4tGx7IdLAyHxYDZpTnYML8MK2oL+h83VgQycxyMMmDy/eYnIiKirOlwBxEVpREVgRwW+QRVG4I5nD3NTnXN+aBOoFBELSzVFtrQ1OMbUd7QRNLpDqIkyXY1QRDwixuXAwDu/N/t6PGGEt5OGXOaMQm7OoYzsNND6Qy6YXUN5pTl4Oev1Se9r5IZYzHKnUAtQxTStFqdAQBQA1on8khYjzeEt492pdwJpPxM9XhDmD0J84AAINdqQF8gjEA4qobOE40nQRDUrp2xZgLlmOU3NB65fRVuiC0GAAClyVE3RUZ7aWLhb04iIiJKSTASxYafvAUAqCpIvQiUa5GzSgZ29CQTiYrY1+rCObPl8aZEmUBKGHVNoQ2trgDmPfAS9jYPnxEz0bT3BdQT80SKNVu+3j7amfA2nW559flQjzNZaU/yq/KtsMROvAx6HTbML8PRdnfS7TynXHIxpzzXguoCK7o8oZSKhR19ATgsBvV5Gx7DO/2Zdvuj7yEiSnGdCUMp03SdzSmdnEWgIrsJoYiI3c1OjoNR1igjYdExdAq6AxE4LIkXKyjjYJOwWY8mAT6tiIiIaFjdniA+9X874Yt1Vwy3Fl6rvxMotbXe9Z0eBMIi1s1KXATyBfs7gZbV9m8F23a8O+Vjmgie2N6EXl8YM4qTfy8FQcCG+XJe0LHOxAHYHe4g8m3GKTk2oA1Ffeiqhbj7/Dr18xnFdkREKWnWT1Os86em0KoWLVPJBepwB1GWa4Ep9v2cqBvCJEnC3lg49t4UQrIBuYCimDPJ1sMrrl1RjWlFNjR0elkEoqwxp6ETSO5qTVwEUgKndQI7gSj9WAQiIiKiIfV4Q7jkZ2/jrcOd+MKlc/HEXWeOKFDWZNDBbNDBHUytCKR0ttQW2uCwGBJ0AkXUTqAL5pbil7GRqROTaEuYyx/GtzcexJrphbjtzOlD3vaR21dhZokdh2OrwAfqcAeSjpR/Y7g9AAAgAElEQVRNdtqT/PXzynCr5ns1s0R+Dh7viv/v7g9FEYmK6hr52kIbqgvkQlvLMLlAj73XiBf3taHAZlQ39UzUcTCl0wkAvnDpvJTuo9MJKMuVnyuzJ2kRqCjHjD/++xoU2k3IS3EMjijd7jhrOoCxbQcLR6W4MGgtdRyMRSDKgMSlRyIiIqKY3c1OdHmCePSOVVg/b/AWq1TkWo0pZwJ5Yh1DdrMBeVbjoDEybzCKIs2Y1BVLK/HHLSdwpM0zqmPLht+8WQ+XP4yvX7kgpRXA88tzsa81cbdHhzuI0twpWgQyJf/e1BbKRaCBm9Pmf+0lXLygDBV5FjhizyFlm50SsB0IRxN+3/+45QQAubPmlrXTAAChCdIJJEkSnt3digvnlyHHbFAzon5360pcsrA85cf52yfOxJM7mjGzeHIWgQBgerEdL9y7DgJ4gkzZ8an1s/H20S5ExjAuGoqIcWvhtZTikp6ZQJQB7AQiIiKiIbXGuicWVOQNc8vkHBYD+oYYB9N2W3hiHUM5sRN4bSeQJElo7PGhIi8+k2huuQOH2vqGXBk+3jzBCI60u7HjZG/c5W2uAP6w+QSuXl6FhZWpfU/nljtwstsHb4JuqjZXAGWOxBvGJjvLECNuykigX5Pzo+QDvXygHa8e7MDi6jwIgoCyXAsMOgEtvX78ZetJzHvgJXT0BQY95opp8naer1y+QM3ZmSjjYIfb3fj047vwmcd3AujP2Mq1pLYZTDG92I7PXzJ30gfOVuRZUZ43NZ/3NDnodQIkjKUTSEy6oW9xtfy3oXoE+XtEqWIRiIiIiIbU6vTDoBPGFDzssAzu6FH89JUjWPC1l7DpiBx8rBQ67AmKQKdcAbj8YSyoiA+1nVvuQF8ggva+4KiPcSy8wQj+sbMZz+5uVS+77ffbcPFPN+Ha327BIc0o187GXoQiojpOkIp55fK/90i7O+7yXm8Ip1wBzCmfnCG/wxmqUKGMUWgLiNrnSovTj9tj32O9TkBFvgXNvX58/dn9AIBDbfHfS+WxKvMsuHXtNPXkbKKMgx2OHe+rBzsAAH2xzro868iKQESUHjpBwBimwRCKiknHwe4+rw4vfvocLKnOT3g90ViwCERERERDanUGUJ5nGVNbeq7FkDQY+pldLYiIEr75/AFEoiK8sfBpu1kfVwSKihLO+t7rAID5FblxjzEntu76cPvgE/tM29/qwtrvvIb/+ttufO7vuxAVJYQiIj5odKq3eWpHs/pxr0/+94ykqKb8e7WFizcOdeCex+SukIWVuQnvN1UUJ8g8MugECEJ8p06vL6R+XFtoU0O1AaA634bmXp86ZpEoQ0o7JqacnE2YTiDNf/twVFR/LnKtTHcgygZBGFsmUCgiJt3sp9MJg/7OEaULi0BEREQ0pOZeHyrzx9aSnmtJngnkDUZQnGNGfYcHj73XCHcgApNeB7Mhvgi0/UQPADkseFFV/BiVUgQ6kqC7I9N+8dpR6HQCbllbi3BUwlef2YfXD7XH3eYfO1sRjop4dncrvvyPvQCAghGE2lblW2Ez6fGlp/dix8le7Gtx4a6/7MA79V0AkPJY2WT0wr3r8NJnzhl0uSAIMOl1cZ06Pd7+59i/nz09rnC5uDovrjA3MFAakItA5lgRSOkECk6QTqCdmmPv8YbQ55eLquwEIsoOvU4Y0wjyUONgRJnEZx0RERElJYoSDp5yY27Z2MaNHEk6gSRJgssfxnUrq7F2ZiF++upRtLn8sJvlE/FcTRHo9cMdMOoFvP/VDYNCfQvtJpQ4zNhyrGvcx3d2NTmxYX4ZLoyFZj/2XiPu+ssHcFgMePwTa/GD65agyxPE1oZu/OaNevV+qQRCK3Q6Ab5Yh9Q9//cBPvnnHXEdKoX2qbslaWFlXsJOIEDu1gnGFYFCsfvk4vpVNXG3/di6GXGfJy4CibAadbHHlgtI4TEEv6bLKZcfW493q2OBne4gXP4wdAJgT7Jimogya6zjYENtByPKJD7riIiIKKmGLi88wQiWVI+t00QOhh7cCeQPRxGOSsizGvHVyxeg1xfCM7ta1RXweVYjghERgXAUO070YnFVHnLMiU96i+wmvHG4E1+JddqMB0mS0O0JoTTXjKoBAZ4b5pdh7cwiXLGkEiaDDm8e7kx67KnYML8UANDqCqDbG8R3r1k8pmOfCkx6Xdz2LmUc7JHbV6nPIUVZbn+IsNWoT9oJpI6D6eX/D0+ATqBndrZCkoCPnzMTANDtDcHlDyPXapz0Ac9Ek5VOAMQxdALJ28F4Ok7jj886IiIiSmp/bC35wPGrkXJYjAiExUH5KkqXT57ViEVVeZhZLK/9VoolubFRly5PEHtaXFgZ296UiDIS9cSOZnXD2GiMpJPI5Q8jIkoospvUNeSKSxbKnUFWkx5nzCjEm4c7kGMZfRHo5zcsR3mskHHLGdPw4WVVAIDrVlaP+jEnO5Nh4DiYXAQabtRu5bQCNPX4Bv23DkT6i0DGWCdQtlfES5KEpz9oxqppBerz/5TTj1anf8SbwYgofQRBwP7WPvzp3RMjvq8kSXIwdJIV8USZxCIQERERJdXY7QMAzIgVZ0YrN1b8GDgSpuSaKOG2M4pzAPQXgZS8ky313QhFxCGLQA9euQB3n18HAOjxhJLebihf/sdeLHrwX3FbpobSFfs6JQ4z7GYDPnfRHDz3qXV47lPrcOmiCvV2F8wtxbFO75i2l9nNBpTmymNRdaU5sBj12PqlC/Gdq0/fjiCTQYf6Do/aZeb0hWAz6YcdtVtRmw9RAhp7fHGX+0NRWAdkAmU7GHp3swtHOzy4ZkU1inLk4tb9T+/Fa4c6MK3IltVjIzqdKU14v3itfugbJhCJzZFxHIyygc86IiIiSqqxx4dSh3lE+TWJOGIdCwPDobWdQIC80QmQu2e0l79+SF6LvWKIIpDDYsSiWDeQPxwd8TFGRQn/t60RoYiI+o7UAqa7PHJRp8guF2fuuXA2FlfnYfGA8bnz55YAAA6eklfFK//OkfLHcoGU+5fnWU7rkwiTXoddTU5c+5stAORg6FQCt5Xn0cCRsEBYhFnJBJogK+Lve2I3CmxGXL6kAg6zAdUFVqyozcfvb1+Fh29dldVjIzqdKcHzEXHkvyOU3yscB6NsYJIcERERJdXU6xt1wULLEesEUjp/FAOLQMqq8yuWVMZd/vrhDtQW2lDqsGAoltgJfGAURSBt98/xLh9WTisc9j7dsU6gYsfQhYcZxXbUFtrQ2OPD0uo8/OXjZ4z4+ID+d43Huq1tqlC+H0c7PADkTKChQrKvXl6Ff+xswbKafADA8S4PgP418kHNOJg59tj1scfOBk8wgqMdHnzh0rnqz8Jb910Qt/WMiLJDEGJFoFGExysdhqdzEZ+yh886IiIiSkiSJJzs9qEmLUUg+QT2l68fxa6m/lXXA4tAH15Widc+dx6uX10Td/lwo2AKZZRnNEUgJU8GUIoDwxvYCZSMIAhqN1BdSY76/RipX9y4HP9xfh2mpeG/yVTU4w2hYIgi0A+uW4JdX7sI+TYTiuymQZ1A2nGwEocZly4sx+82NeCZnS0ZPe5kOvoCAKBmQQFgAYhogtAJygZBdgLR5MJnHRER0WnK5Qvj3WPdSa/f2eTEKVcAq6cP3xEzHCXz5+UD7bjq15v7j2FAEcig16GuJEe9XrkcGHoUTGGOncCPZhxM2SwFACe6fUPcsl+3JwidkNqKdqUIlGsdfZhvXUkOvnDpPG6EiokO2M/c6wuhwJb8+2vU65AfGxebUWxHQ+eAcbCIqHaTCYKAX920HA6LATsbe9N85KnpcMtFxuE64Iho/Cm/hkdVBFI6gVgEoizgs46IiOg09eBz+3HzI1vVbhbFH7ecwFM7mvHXrY3IMRtw5bLKMX+tZFuMlCJQss6YXM02rSUpbCjrHwcb+YtyZbQrx2xQOzCG0+WVx49S6c44c2Yx8m1Ghvmm0cCTrx5vKKVMIACoKrDilKv/v3M4KiIqSrAY+vOvDHod7CbDqJ5P6aAWgXKH7jQjovGndAKJEiCKIxsJC0cZDE3Zw0wgIiKi01BTjw/P7m6FKAFnf+91LKjMxbUrqrG4Kg9ff3Y/ADkT5bqV1eqmrrFwDFiNHhUl6HUC+vxhOCyGpEUUg+Zd0tllOQlvo6WM8gQjo+8EmlvuUE++h9PlDg47CqYem0mPt+67IC3fT5JFNCde4agIdyCSUlcWIG9b84X6nydK95gSSq6wGHUIjOL5lA6daicQi0BEE41SBAKAsCjCrEt9gQLHwSib+CqEiIjoNPQ/bzdAJwBRAMGIiJ2NTuxsdMbdJhgRcfMZ09Ly9QYWPtr6AqjKt6LPH44b+RqKzTT8yxYl1NcfGn0m0LxyB57+oA+SJKnBn8l0e0PDhkJrpfpvpdRoA1mVrrL8IcbBtGxGPXyh/qBypeAysGvNYtSPKmMqHTrdQRj1Ap83RBOQ9r2LSFTCSOr7ShejUc/RXhp/LAIRERGdZnq9Ifzt/SZcs7waFy8sw6Obj+MXNyxHlyeEt4924niXF3/d1ojltflYENvWNVaGAe92KifVrhSLQKm+ULaMIRi6udcHh9mA2kIb/OEoPMHIsAHOXZ4gllbnj/hrUXpox8E8AbmgM7DrLBlbrBNIFCXodAK2NfQAAFZNj8+eMhv18GdpHKwvIP98DFeMJKLxF9cJNMJcoBC3g1EWsQhERER0mjnU5kYwIuKKpZVYN7sYF86XV2QX5Zgxt9yBvc0u/HVbI25JUxdQIsoLZpc/nDQvSPH+VzakHJ6pbgeLjOwFuShKeO1gB9bNLlbzV57c0YyV0wqwuCoPxzo9mFXqiLvPr9+ox8luHy6cV5boIWkcaIOhPUG5CJRjTq1rxm7qDxG3mw3YdrwbZblmzCi2x93OYtBltBPIE4xgS30XLl5YPvi6QITjg0QTlE7zZyk8wjXxyjgYg6EpG/isIyIiOs10uGNrp/MS54wsrs7D8/eswzUrqjJ2DOGI/II5lU6gEocZeSmO+Jhj76qOdBxsd7MTHe4gLllYjhnFcvbQN547gFse2YafvXoUG36yCZvru9Tbb6nvwo9ePow8qxGXL6kY0dei9NG++66Mg6VaNLHFbqfkAh1uc2NhZd6grhuLUY9gBotAz+5qxSf+vANH2t2DrvMEI8hJsbOJiMaX9ndFRBzZGw/qOBg7gSgL+KwjIiI6TUiShAef3Y8HntkHACjJSb52elHV4JPhdFJa4ZVxl3TR6QSYDEMH+e5ucqKh06N+/sjbDbjnsZ0w6ARcMLcUy2ry8ebnz8cdZ01HXyCCv247CQB4aV8bAMDlC+Mzf9uFmcV2vPul9ViZwup6ygxtMLRS3Ex5HCzWNeYLRRCJimjo8mJ26eDwcatRn9HtYD1eOYto23F5HO294z24/Bdvoy8QZicQ0QSm146DRUbWCfTwpgYA7ASi7OCzjoiI6DTx4r42/O+WE+iLZafkWrN3chmJiuj1htDpDqIiP3kxajSsRj2CYREuXxj7W12Drv/wrzdj/Y/fUj//1gsH0dzrx9qZRWrH0fRiO2aWyGNBXbHV8a8ebIckSdjR2IMOdxDfuHJRSmHVlDnaIlB7n1xMSbVoYjfLRSBvMIqmXj9CERGzEhSBMr0dTPl5fD9WBHr/RA/2t/bhtYPtcAcjKY+3EdH40gZDh0fYCfT2UbmzNNlmTKJMYhGIiIjoNHCiy4svPrUHxTn9m6yyGTYbjkp45WA7RAnYMD+9mToWow7+UBS/23QMN/xua9x12gwZALj0Z5vUjwcGAmuziqYX2XDKFcAfNp9AQ6cXAFBdYE3rcdMoaP5z7mzsBSCvfk+FUsDzhSLqKNacMseg22V6O5jLJ4+xvX+iB5IkoaNP7mh6cW8bPMFwyp1NRDS+4sbBRpgJpKgptKXrcIhSxiIQERHRFBcIR/GJP2+HQSfgH/9xdrYPB4Cch7D9RA+K7CYsTNMGMoXFqEcgEkVzrx/uYEQN4AT6R4YAuRvpUFt/Dsu/nzUj7nG0nVLXrawGAHzz+QP41gsHAXDd+0TwxF1n4vYzpyHXYsArB9oBjGAcLBYMfcoVQH2HPB5Yl7ATSK9mTJ1y+fHYe41w+kLpOHwA8kikchzNvX61o+mtI51o7wuyCEQ0QY12O5gYezPi3gtn8+8IZQX/qhAREU0xm450AgDOnVMCAPjgZC+OtHvwyxuXo6bQhgf+bQEsxvF/H6g4x6SOVoWjIg6c6sOCyty0dyRZDHLnhhIU7AtFYDLIHVAtvX71dl5NePTvbl05KHxa2wmUaEwoly/es25pTT6W1uRDAvCnd0/CoBPUcPDhKJ1A9zy2E5ctKkdVvjXhKJnZqFO3zT28qQF/2HwCJ7t9uP+yeWn5N8gb8gzoC0Tw/oketLsDcFgMcAeUbWd8uU40EcWNg42gCBSM/T5RtlkSjTd2AhEREU0xtz36Hm579D11hOVYLARZGXf62LoZuDmD69+Tefrus3HXeXUA5LXcR9o9mF+R3i4gALCY5CDfTrfcUaEt9jRri0CxleIAUOoYvClNW+QptJvxyG2r1M8dZgOzHCaQ61fVAAByLIaUi4pKJhAAvHawI2GhD5CLiqGICFGU1I4hpcCYDn2BMFZMK4DDbMD7J3rQ0RfEhfNK1RX23A5GNDFp/wZExNTHwZS/zdYsvBlDBLAIRERENGWt/9Gb+PPWkzjW6YXNpEd5bnoDmEeqtsiG61fJY1WH29wIRUQsyEQRyKCDPxxFR6wI9LVn9uF/Nx8HAHR55MscFkNcEagswfdG2wlUaDdhw4IyfCQ2FsYuoIllUVUeFlbmjmh0yqH57xuKigk3gwHyOBggv3t/LFYE8oUiCW87Gi5/GAU2E1ZOL8CTO5rR1hdATaEN62NZWSPdOkRE40OI2w6WeieQXykCmdgJRNnBtxaIiIimEKUlfUl1HvQ6AQ88sw+zS3Mws8Se1SBohTG2DndPs7y1KyOdQEY92vsC6jjNa4c60O0N4Y6zZ8AZC+E16AR4YkWgr14+H5X5g0OetZlAFXlykUi5nbaLhCaGH1y3RB03TEWh3YSn7j4TDzyzHwdO9SUMhQagjk5e9vNNaHXJmVK+UPqCol0+eRxsVmkO3jwsj3LesnYajHodXP4wNiwoTdvXIqL0id8OlnqxVikCWTgORlnCTiAiIqIpROl+uXFNLb72bwsAAEc7PFhRWzDU3caNKZbXsrvZCZNep65hTyerUY+mHl/cZQ2dHkiShN5YoG8wIsIblF+IL6nOT/o4ALBqWoG6cUopFBxp96T9uGlsFlbm4bxYDlaqVk4rxAXz5PvMKkvcCaQESLv8YXx4WSVKHWY1KHqsgpEo+gIRFNhNWD29EIBcwC3LtaDQbsKf7lyDhZV5aflaRJReurjtYIk7gYKRwb8rlN8fLAJRtrATiIiIaAp5OxYKXZ5riTt5vGDexOgmMMTeOnUHIlhUlat2BqWTxaiLywECgL5ABN3eEJyxLBd/OApPUP44WfCuIAjY9uULUWg3qZddOF/+PhbYOA42VXx0VS26PaGkW+ouWViOTncQN66pRVGOGbc8sg3eNI2Dtbvkom1lnhUravPxnxfU4cY1tWl5bCLKrPhg6MGdQIfb3LjkZ5vwm5tXqG8m2M0GTSYQi0CUHSwCERERTSH3P70XAFBdYIXJoMN/37ICR9o9WDerOMtHJjNqNjfNL0//KBiQ/N3Vhk4vXLFxMEkCur1yV9BQ25cGZgVZjHo8/R9nIZ+ZQFNGbZEN37t2SdLr820mfGr9bPVzm0mvZkuNVatLDiqvyLfAoNfhvkvSs3GMiDJPpxt6Rfz+Vnns+eX9bfiPv36ABRW52Pjpc5gJRFnHIhAREdEUobSjr5xWgNmxsaVLF1Xg0kXZPKp4Jk3nTybygIChikAeOP39mTHdsfyYkeb7TJTROsoOm0mftkygU0oRKG9wJhURTWxx42Di4CKQsj1M2Rx24FQfgP5xMHYCUbYwE4iIiGiK6Inl3Vy1rDLLR5KcQfPOabKV3GOVtAjU5UWvt3+1t9LNYR+iE4hoIKvJkLbtYK1OOWi6Mj+7m/uIaOSGGwdTikQufzjucgZDU7axCERERDRFdLnlIlBxjjnLR5KcXvOqOT9DuTrKNqeB34eGTk9sHbf8dU92+2DQCTAb+HKIUmdPYyfQ1oZuVBdYYTOxEEk02cStiE8wDqYUgTrd8eOjwbB8W46DUbbwVQ8REdEU0e2VX2gWTeAikPZFs8OSqSKQ/MK6LLf/+1BdYMXhdjc8wYg6evPWkU5smF8Wd0xEw7GZ9PCHoxBHsBI6kV5vCO/Ud+GaFdVpOjIiGk/x28EG/z5Qpp+7PKG4y/0MhqYsYxGIiIhoCvCHoujoU4pApmFuPTEMFcg8FsoL6xKHWe0GWlKdh6YeJX9FHr2pLbTh+0MEAhMlYjUZIElAIMHq55E45QpAkoD55Y40HRkRjSftcsuhOoEGBsmzCETZxt5TIiKiSazLE8SWY934/N93IxR7EVpsn7idQFoOS2ZehijjYKUOM/72ybV45O3jWF6bj4172wAAa2YUwuUP4xsfXog8rnqnEVKCxH2h6JjGuHpi2+kK7ZOjaEtE8XRx42CJOoESd5kqwdAcRaZsYRGIiIhoghNFKW4VrdalP3sbXZ4gFlXl4uy6YthMBuRaJ8ef90yFYlo0nUB1JTn47jWLsbOxV71+XkUuPnleXUa+Nk19ubExRqcvPKr8rYc3HQMAlDrkjrTJ0rlHRPGEuHGwwZ1AUpKJ0UA4CrNBl/TvOlGmTY5XiURERKehQDiKX75+FL97qwFv3nc+qgtscdd7gxG1zfzR21ejNJcbhoD+IpBykg0AM0v6N5EVsPuHxqCqQM6UanH6R7zhzuUL4zsbDwEAVk8vAAAUTpLOPSKKF7cdLEFGWCTBZcFIFP5wlKHQlFUsAhEREU0wkiTh0c0n8Ns3j6lFns31Xfjo6tq42zX1+gAAv7xxOQtAGtpOIEWe1YjiHBO6PCHkW9l5QaNXHSsCNcd+/kZiX6tL/fj9E73QCfJzk4gmH90wnUBiglYgTyACfyjKPCDKKhaBiIiIJphtx3vw0PMHsHZmIT5/8Rzc//RevHKgA1FRXjVrMuggShJmx7oQagttwzzi6aWuxI7qAisWV+XFXT6zOAddnh7mANGYlDosMOoFNPf6R3zfPc1yEegbVy7E15/dj3ybKWluCBFNbNpxrkTB0Ik6gTzBiNwJxCIQZRGLQERERFkWCEfxnY0HcefZMzCtyIY/vXsCRr2AR25fjRyzAbuanHj8/Sa8erA97n5n1RUBYBFooOoCG9754vpBl9eV2rGjsReODG0lo9ODXiegMt86qiLQvhYXagttuGXtNPzx3RMw6RkMSzRZxY2DJQiGjoqDC0O+UBSBsJixTDyiVPBVEBERURZ0uANqZs3+Vhf+9O5JvFPfhWtXVGPj3jZcsrBMXaH+4JULMa/cgfkVubjjD++r62X3NLvw5Q/NQ8Ek2y507/pZcFjGvxvnjrNmYGl1PsM4acyqC6yjGgfb0+LEkup86HUCHrltFXyhsa2ZJ6LsiRsHS1DwiWgKQzaTHr5QFJGohAAzgSjLWAQiIiIaZye6vLjgx2/igcsX4M51M3DKFQAANHR68cN/Hcby2nz84sbl6u0tRj3uOHsGAGBGsR0HTvVh7cxC/O6WVZNytOmzF8/NytedW+7A3HJHVr42TS3V+Ta8frhjRPdx+cJo6vHj5jOmAYgPKyeiySeuEygyuBNImwlU6jDjRLcPYVGEPxyFxcguQMoeFoGIiIjG2Z4WFyQJ+MG/DqGp16eOlTzwbwvwwp5W/PKmFTAbEr9LqHQHXb+qZlIWgIimguoCKzrdQQTC0ZTHOlpd8s85xzeJpgZtJ1A4USeQqC0CWXCi24dIVII/FOWWSsoqFoGIiIjG2ZE2N/Q6AYGwiD9sPgEAsBr1uPPs6fjYuhlD3tdulk84bWwlJ8qa6sL+NfF1KXb0KJv+inO4Ep5oKojfDpYoE6j/spJcc+x24oiKx0SZwD40IiKicVTf4cGf3j2BmcV2/ObmFerlFXkWCMLwWTWfPK8OALCspiBTh0hEw6gukLt5RhIO3V8EmlwZXkSUmE5zJp1wO5imMFQWywAMixK3g1HWsQhERESUYd5gBJIk4fH3GvHhX70DvU7A5y6egw8trsDnLpoDIPXugLUzi3Die5ejPM+SyUMmoiFUF8idQCMJh+50y0WgEgc7gYimgrhxsASdQHGZQJpOID+DoSnLOA5GRESUZm2uAKKShKp8K17a14a7/rIDRXYTur0hnDmzCD+6fimq8uWTyEsWlePVg+34/nVLsnzURJSqUocFRr0wwk6gEMwGnZrrRUSTmzDcdjAxPhgakItF/hA7gSi7+FeIiIgozW57dBuOtHuw8d5z8P2XDgEAur0hfO3fFuCOs6bHrSifU+bAPz+1LluHSkSjoNcJqMy3jqgI1OkOojjHnNLYJxFNfHHbwRKMg0UHBEMrtwtGRGYCUVaxCERERJRmR9o9AIArfvUOoqKEG1bX4COrarByGnN8iKaKqnwrntvdik+eOxOLqvKGvG1UlLDlWBcWD3M7IpqcEo2DxQVDxzqBPMEIAHAcjLKKmUBERERp1OsNAQDuPr8Oly4sR3muBV/60HwWgIimmMuXVAAAth3vGfa2m452or0viOtWVmf6sIhonGgifxBJFAwdKwI5zAZ1o6c7EAYAWAw8DafsYScQERFRGh1pdwMAVk8vwBcvnQdJkjj+QTQFfXRVDb7yj33wBCLD3vbJ7c0otJuwfl7ZOBwZEY03bf6PIhrLCbpqeRUMevl1gDvATiDKPpYgiYiI0uinrx6Bw2zA0up8AGABiGiKMuh1sJn06jv7yfR6Q3jlQDs+vKwSJr77TzQlhSKJO4FMBh0eumoRDLxv1OsAACAASURBVLF98koRiJlAlE38S0RERJQm+1pc2NrQg09vmI2iFFe+E9Hk5bAY1JO6ZN480oFQVMQ1yzkKRjRV+UJRPLWjGZJmRkwUJRhi6dHGWCdQX6xozO1glE0sAhEREaVBVJTw4LP74bAY8JFVNdk+HCIaBzlmgxr0mkyfX76+Mt8yHodERONEOwDW2OPD557YjdcPdaiXRUQJ+lgRyKCXT7uf/qAFAMfBKLuYCURERJQGD29qwPaTvfjJ9UuRZzVm+3CIaBw4LEb1nf1klNXRRo6CEU152t8HUW0RSBc/Gs5OIMom/jUiIiIaozZXAD955TAuW1SOq5dXZftwiGicpDIOFoxlhZj0fNlNNJVoR78SicaNg8X//DMTiLKJf42IiIjGaHN9F8JRCfdeOJtB0ESnEYdl+HGwEItARKclbSeQfmAnEMfBKIv414iIiGgEJEmC0xeKu+zdhm7kWY2YW+bI0lERUTY4zMYht4O9cbgDf3r3BIx6ATodC8REp5OIKEGf5I0hdgJRNqVUBBIE4VJBEA4LglAvCML9Ca6/WRCEPbH/bREEYWn6D5WIiCi7RFHCXX/ZgWXffAX7W10AgMNtbvxjZwsuWVjGkzyi00yOxQBPknGwR95uwL//4X30+sLsAiI6TWgnxKKiBL0+8esCZgJRNg37F0kQBD2AXwO4DMACADcKgrBgwM2OAzhPkqQlAB4C8HC6D5SIiCib9ja7cPMj2/Cv/e0AgMt/8Q4Ot7nxxuEOREUJ910yL8tHSETjzWExwBuKIirGZ4OIooRH3j6ufq7jmCjRaUfOBEp8us0iEGVTKtvB1gColySpAQAEQXgcwIcBHFBuIEnSFs3ttwKoTudBEhERZUt9hxtf/sc+vHe8B4V2Ex768EK8sPcUtjb04JrfbIY3FMX0IhtKHOZsHyoRjbMcs/xS2hOIIM/WvxVwd7MTbX0BLKjIxYFTfRCHCZAloqlhUCdQkg5hM7cFUhalUgSqAtCk+bwZwBlD3P5jAF5MdIUgCJ8A8AkAqK2tTfEQiYiIskOSJHzsj9txstsHAHjts+ehwG7CFUsr0eoM4P6n92BPswtrZhRm+UiJKBtyLXLhxx0MxxWBXtrfBoNOwOVLKnDgVB+iLAIRnXYiopg0E4jj45RNqRSBEj1DE/4lEwThAshFoHWJrpck6WHERsVWrVrFv4ZERDShNfX4cbLbhyuXVuKmM2pRYDcBAPJtJuTbTHjirjOxr8WF+RW5WT5SIsoGh0V+Ka1dE9/i9OO5Xa04s65I7RAU+aqX6LQTFQdvBSOaCFIpAjUDqNF8Xg2gdeCNBEFYAuARAJdJktSdnsMjIiLKni3HugAA9144C7NKB2/+Mhv0WDmNXUBEp6ucAUUgSZJw9vdeBwD85/pZau6HxE4goikn0Y+19qKoKMKQJBiaKJtSGUZ8H8BsQRBmCIJgAnADgGe1NxAEoRbA0wBulSTpSPoPk4iIaHihiIhWpz9tj7flWDdKHGbUleSk7TGJaOpwxMbBPEF5TbzL378u/uIF5eoaaHYCEZ0etAXfiCglDIXffP/68TwkokGGLQJJkhQB8CkA/wJwEMDfJUnaLwjCXYIg3BW72dcAFAH4jSAIuwRB2J6xIyYiotNac68Pf3+/CcFIFADgCUbw5uEObKnvwmU/34TzfvgGmnp8I35cbzB+zbMkSXi3oRtnziyCwM0+RJSAEgytdAK19QUAAL+6aTlKHGZYjPJL7YHbw4ho8qsqsAIAphXZ1Mu0IfDydrDBrx+q8q2ZPziiIaQyDgZJkjYC2Djgsv/WfPxxAB9P76EREREB4aiIZ3e1YmaJHctq8nHT/2xDY48Pb9d34Rc3LMPVv96Mox0eAEBNoRURUcKDz+7Hb29ZCVOK2zcOt7lxyc824ccfWYprV8oLLo91etDpDuKsuqKM/duIaHLLjY2D9cWKQKdcchGoIs8CAGonEBFNPaunF+Kf/3k2Dre78YUn9wAAwtEBnUDMBKIJKKUiEBERUba8ebgTn3tiNwD53bbGHh/Kcs14bncrjra71QIQADx/zzn40tN7sHFvG3Y3O7F6emp5PX/YfBwA8O2NB3HV8irodQLePSbH251VV5zmfxERTRXqOFisCNQeKwKV5cpFICuLQERT2tKafBzv8qqfa7v+PIGIWhAmmkhYBCIiognt0Kk+AMBXL5+P53a3wmk14oV7z8GTO5rx6oF2zCyx46EPL4JBJyDPasRd59Vh4942uHxh+EIRfGfjQWzc24YX7l2HirzELdg7TvYCAHq8Ibyw9xQKbSa8uK8NVflW1BSybZuIErMYddDrBLgDchaQMg5W6rCo1xPR1GbU9/+ch6Oi+nGvL4SFlf3bQ29cU4PEi7eJxheLQERENKEd6fCgusCKj58zEx8/ZyYkSYIgCLjrvDrcdV7doNvnxt6Z7wuE8cjbx/GXrY0AgKPtnoRFoEhUxIluLz557ky8erAd9z62U73uiqWVzAMioqQEQYDdpFczxdyBCHLMBnUU1WxgJxDRVKfdAKZ0AkmShG5vCIV2k3rdd69ZMu7HRpQIi0BERDThBCNR3PfEHvT6Qthc34X180rV64YryuRaY0UgfxhvHu5QLx8Y/Kw42eNDOCphdpkDc8oc6ugZAKyfVzKWfwYRnQZsJgN8ITmo3h+OxuUAMROIaOozaopAkVgRyBeKIhQRUaApAhFNFOxRJSKijBFFCSc0s/Kp2tPswrO7W9HmCuDsWcX44qXzUr6vIxbU2tzrx+5mF65ZXgWgf3vPQEfb3QCA2aU5uHJZJXLMBlyzogqb71+Pq5ZVjfjYiej0YjPr4QvLRaBAKAqrqf/ltdXEIhDRVKcdB4vEgqF7vCEAiOsEIpoo2AlEREQZ8+etJ/HN5w/g3S+tVzMyUrGvxQUA+OvHz0Bp7shCFY16HWwmPV7a34aoKOFDiyvw9M4W9MUyO6769WbUleTgx9cvjX2tPuh1AuaWO2DU67D9qxtg0Akw6Pk+CRENz2bSwxfrNPSHo3Fh0JYUNxQS0eRl0PX/nEdFORNILQLZWASiiYd/mYiIKGP+uasFUVHCsY6RdQPtanKixGEecQFIkWsxornXjxyzAetmy9u9lE6gXU1OPPVBMyRJUj+fXZqjjm1YjHoWgIgoZTZj/DiYtgjE3yVEU592HCwcGwfr8clFII6D0UTETiAiIsqIVqcfHzQ6AQCNPV6cWVeU0v063AG8uK9NHeMaDYfFgLY+4Ky6IliMethNergDEQQjUfU2H//jdnR6gtjT7MKdZ88Y9dciotOb1aRHb+yEzx+KwjwgB+gbVy7E6umF2Tg0IhoH2nEwJRjaF5Rfb+SYebpNEw+flURENGKiKOG/Nx3DnFIH1s8rhU7X/y7YF57cDb1OQF1JDgBAEICT3T68tK8N+1pcONrhxr/2t+NfnzkXc8sdgx57x4lehCIiblxTO+rjO9rhAQD8//buPD7uqt7/+PvMkplksq9NmzbdN0oLbenGvlkEBWUTLgjIVVG8chV/uIB6uYheL+oVURZxAQVEUVlltVK2ltJSoPtCd9o0TdKm2Seznd8fM5kmbbplm5nO6/l49MEs3/nOmYSTTN7zOZ9z2thoY+fcTLea/EHVNQfix/xrbY1mjijUV88ara+cObrHzwUgvfk8Tm2vj1Ya+oNh5e+3/OPaOcMTMCoAA6Xz7mAdPYHCsWpjigGRjAiBAABHbdn2vbrrpXWSpPGDcvTLK09UoS9DeZluPfHu9vhx4wflKBiO6LF3tum+1zZ2OcdLK6u7DYE+qm+VJA0v9vV4fJ8+cYj+sbxKl0ytkBStDGryh1Tb1C4p2gT6hKH5+sllU3r8HAAgSZlul9piy8H8wUiX5WAAjn1dGkPHegJFYhVBjsPsaAokAtkkAOCoLdq0R5J0y9xxWlvdpHN//oZOu2u+bn9uVZfjPjG5XD++ZLJKczw6YWi+/nj9jPh9VtE3SE+9v13n/+JNVTf4JUV39crxupQX2+q9J3562RSt+u/z4jvz5HjdavQH4yHQzy6fQgAEoE9kZezbHawtGGZHMCDNdA2Bou9tIpYQCMmLSiAAwFF7f1u9Rhb79OXTR+knL0crgo4bnKfH3tkmSbrrksmqbw3o2jnD5XU79c+bT1ckYrVtT2v8HE3+kH74/Gr95s3NkqT562oUjlj98e2tqijI7NX4nA4jZ6claiXZHr23rV6PL46OryTH06vzA0CHLI+zS2NoL5VAQFpxdXq/Ee5YDhbpWA5GCITkQwgEADhqH9W3aUSxTw6H0T+/fpq8bqeGFmZpZ0Obtte3ddsE1eEwGpS3b7ev370VDX8unDJYzy6r0neeXBG/b0J5bp+O999mDtNLq6q1cGOdbjh9pAb1cNcxANhfltulQCiiUDgifyDMcjAgzXSuBAp2LAfrqAQiBEISIgQCABy1HfWtOml4gSRpTNm+vj7leZkqzzt4Fc/+n5D/4FOTdOVJQ/XssipJ0t2fOUEnDsuXr4930zhtbIn+/uXZGl2So7ysni8zA4D9ZcWWf7UGw7HlYHRbANJJ5y3iOyqAwtEsSE6WgyEJEQIBAA5rbXWjHnxjkyaW5+rM8aVq9Id6vGTrsmkVenvTbp1/fLk+O6uyy33TKgs0tDCrL4Z8gGmVbNEMoO9leaIhUENrUKGIlddFJRCQTlydewKF9+8JlJAhAYdECAQAOKw7nluthRt360nt0J3Pr5EkDcnvWVhzqIbMg/N71wsIAAZaYWxL+B172ySJxtBAmulcCRQMsxwMyY8QCABwSJGI1fLtDfrsrEpdO2e4nvlgh97bVq+TRhT0+XPRQBFAqimN9RjburtF0oHLXgEc2zr3BHpl9S69vXH3vsbQLAdDEiIEAgDERSJWm+qaNbp0X5+fDbXNam4PaXJFnkaXZusbHxvX58/7zq1nqz0Y6fPzAkB/62h4v2V3dPdDGkMD6cW13wdYb2+sU25mtP8glUBIRoRAAJCGrLV6fPFH2tnQJrfTIbfToWtmV+rXb2zSPf/6ULeeP15fPG2UJOn55TtljHTy6OJ+G08Zu3UBSFEl2R5J+yqBWA4GpBezX7XPsCKf6lsCkugJhORECAQA/SwQiujn89brS6ePUl5mcuxMtaGmWbc+taLLbZtqm/XMB9Fdut78sE5fPG2U2gJh/XnJNp08qph+PQDQjQyXQ0W+DG2poxIIQLQfUDjWE4hl7khG7GEJAP1s3ppduv+1jfrxi2sSPRRJ0vLte/XnJR9Jkub/vzP0889EGzX/del2BcIRjSnNVkt7SJL00MLN2tXYrq+eNTph4wWAZFeW66UnEABJ0ebQHT2BHPQEQhKiEggA+lnHp0BbY/0iBtpv39ykl1ZWa8rQfM0cUagvPrJUklSQ5dbwoiyNKPZp/KBcXXL/Qn3jY+O0ZPMebapr1t7WgO5/baPOHl+qmSOLEjJ2AEgFZbkerd7ZKInlYEC6C4WtIhEqgZC8CIEAoJ81+6NVNQs37lZDW/CAJWE1TX5d/dt39IOLJvVL2HLXS+sUCEf07tZ6/e6tzcpwOlRZlKVb5o6Lr2OfUJ6r9753rrxup1ZXNaqlPaz7Xtuo5vaQvnne+D4fEwAcSzr3NfO6KbQH0lGGy6FAKKJgOKJYBkQlEJISIRAA9LO9bcH45esfXqLHPj+zy3KBFdsbtH5Xsz7z4CKt/cF5fbqUoLk9pEA4ohvPGKW11U2aOaJQ158yost2ph06njfb41R1o18PL9yii0+s0LhBOQccCwDYp3MIRE8gIP28+o3T5XU7NefHryoY3tcTiEIgJCM+qgCAftbQGt0h4qqZw7R0a72+8ddlsrE3B5JU3eiPX77+4SWqbvAfcI6e2lTbLEmaXJGn3193km44fVS3AVBnPo9L4YhVIBTRxycN6rOxAMCxihAISG8jS7JVmhPdKTAYjigSsXKYA3cOA5IBlUAA0M/2xpaA/fDTx2twfqZ+8vI6XTVzmJ58b4eWb9+r9buiQc2PLz5ed/xjtS64503Nv+UM5Xp7v5NYx7lHlWQf8WN8nn2/GoYXZ/V6DABwrCvL9cQve+kJBKQlp8PIGCkUjihsLf2AkLSoBAKAfvLyqmpd99Bi/fHtrWoLhiVJ180ZLo/LoR+9sEZ/W7pdmRn7ApcrZgzTXZdO1u6WgLbUtXQ51wcf7dWLK3Ye9RgWbdqt/Cz3UYVAOd59Y6ooIAQCgMOhEgiAMUZuh0OBsFXEWqqAkLSoBAKAPnbHc6v16tpd2rK7VYPzon8YBEIRSdEqm7MnlOqFFdWSpD9+boam3PFK/LHlseP3tAS6nPNT9y6QJC397jkqyvboSFhrtWBDneaMKpLjKD6N8nUKptjqGAAOryMEcjnMYZfcAjh2uZ1GoXBExkhOQiAkKX5LAUAf+ufqXfr9gs3asrtVE8pzNf+WMzSy2KfzjtvXW+ea2cMlSZdMrVBellu/vWa6Hvv8TElSQVaGJGlv675m0h/uaopfvuLBRfrfl9ZqyZY9hx3LproW7Wzw6+TRxUf1GjqWg1UWUQUEAEeiyJchl8NQBQSkOZfToWA4onCE7eGRvKgEAoA+0twe0vefWalxZTm669LJGl+eI4/LqX994/QuJcGzRhZp4bfPilf9nDOxLH5fRwjUuRLo9udWqdCXoVvmjtMDr2/U/a9F/50yulhD8jNV29yun142RYW+jPhjNte16FevbpAknXKUIZA/tnRt6rCCo/wKAEB6cjiMSnM8CoTt4Q8GcMxyOx0KRqyMsewMhqRFJRAA9JGfvrxO1Y1+/c8lx2vK0Hx5XNFPhLtbEz44P7Pb23Mz3XIYaW/rvhBoXXWT5h5XpitnDNMrXz9NV5w0VJL01oY6vbByp95YX6ufvLyuy3kuuOdNPfX+Dg3K9WpY4dFV9Jw1oVSXTK3Qdy+YcFSPA4B0VprrVWYGb62BdOZ2GgVDEUWsPaql+MBAohIIAHqpyR/UZQ+8rbXVTbpmdmWvKmicDiOPy6l7Xt2gq2dXypfhUl1zIN6g2eNy6pvnjdfe1qD+39yxGlGcrZuf+ED/XL1LP/r0JG3Z3apfv75RrYFoNU9upuuoGxPmet362eVTevwaACAdjSrJZvkHkObcTodCEatwxNITCEmLEAgAeuntjbu1tjrat+cb547r9fk6dhL71K8W6P/NjZ6vczVPoS9DD3x2Wvz67JFFeuaDKm2sbdbX/7JMK3Y0xO/7n4uP7/V4AACHd/uFExVkORiQ1lxOo0A4Iq91UAmEpEXNKgD00sqqRknSm988U3lZ7l6f7+OTok2kG/0h3fzEMkk65JKuE2OVR/PW1HQJgG47f4KmVRb2ejwAgMPL8bq79GYDkH4ynA6FwhFFIqInEJIWlUAA0Eurqxo0ujRbQ4+y987B3H/1NFlr1dgW0osrd2pDTbMmDs496PEdu3jd++oGOR1Gc0YV6c0P61Sae2RbyQMAAKD3XE6jYNgqbFkOhuRFCAQAvWCt1dKt9TprfNnhDz4KxhjlZbl1xYxhhz3W63aqPM+rnQ1+fXLKYP3k0sn68+JtmttpW3oAAAD0L3dsi/hIhMbQSF4sBwOAXthQ06z61qBmjkjssquOaqAvnDpCXrdT150c/S8AAAAGhtsRDYHC1tIoHkmLSiAA6IW/LPlIxkizRxUldBwXTB6s4UU+Ta7IT+g4AAAA0pXbZdQejChiJQfLwZCkCIEAoIe27W7VH97eosunDe2zfkA99dlZlQl9fgAAgHTncjjUHA5Fl4ORASFJsRwMAHrof19aK5fDoZs/NjbRQwEAAECCuTsaQ0dYDobkRQgEAD2ws6FNz6/YqetPGa6yXG+ihwMAAIAE62gMHbaW5WBIWoRAANADb35YJ0n6xOTBCR4JAAAAkoHL6VAoYmUJgZDECIEAoAcWbdqt4uwMjR+Uk+ihAAAAIAm4nUaBUITlYEhqhEAA0APrqps0cXCeDJ/yAAAAQFJWhlOtgZDCVnIQAiFJEQIBwH4a/UFd99BivbSyOn6btVZ/WLhFS7fuUThitaGmWWNLsxM4SgAAACST0hyv6luD8gfDcpIBIUmxRTwA7Gf5Rw16bV2tXltXq19eeaI+OWWwapra9V/PrpLDSKeNLVF7KKKxZSwFAwAAQFRpjkeStKvRr5JsT4JHA3SPSiAA2M+Ova2SpLxMt37y8jqFwhFt3R29bdKQPL22rlYnDsvX3EmDEjlMAAAAJJGOHWOrG/wsB0PSohIIAPazvb5NDiP9z8XH68bH3tOzy6oUsdH7fnHFiSrJ8ciX4aQfEAAAAOJKYpVA7aGInLxPRJKiEggA9rOjvk2Dcr0677hBGj8oR7+av0ErdzTIYaQh+ZnK9rgIgAAAANBFRyWQJHYHQ9IiBAKQNl5fX6vdze2HPW57fZuGFGTK4TD62jljtam2RQ8v3KJJQ/KU4eLHJgAAAA5U5MuIhz98XohkxXIwACnHWnvUlTg7G9p07e8Xa9KQXN39mRN0+a8XyUj6z3PG6LOzKtUWDCsrI/ojcVNds84aXypJOm/SIN131VRt2d2iK08a1tcvBQAAAMcIh8OoJNuj6kY/lUBIWoRAAFLOhb9aIH8wrH/efLok6YHXN8ofDOtr54yVJG2oaZbH5dDQwixJUpM/qNn/86okaeWORp3zf2/Ez/X9Z1bpH8t2avGWPZKk608eobrmgEaW7Nv+/fzjywfkdQEAACC1leXGQiBKgZCkCIEApJwVOxrilyMRqx+/uFaS9LGJg/TQgs3623vbdVJloZ740mxJ0rtb6+PHf/eCCbrz+TWSpC+fMUoFWW796IW18ft/v2CzJGlksa/fXwcAAACOLSU5XkkN7A6GpEUIBCCl+IPh+OWHF2yO/aKNOv+eN+V2Gg3Oy9SW3S3x29dVN0mSln73HBVle3ThlMHKzXTL63ZKkk4fW6q5d0erg7561mg9umirJlfkD8TLAQAAwDGkLDe6QxgZEJIVIRCAlBAKR3ThrxbI0akv8+3PrZYkjSnN1ujSbC3atFt//dIcPb98p34+b73aQ2F5XE6tr27SoFyvirKjv5RLO+3cIEnjBuXojVvOVFVDm2aNLNLN545l9y8AAAActY4dwugJhGRFCAQgJWzd06rVOxuV4+n6Y+vGM0bpprPHKMPpUHsooswMpwbnR3/5Vjf4VZzt0avrajRnVNEhzz+sKEvDiqI9hAiAAAAA0BOlOR2VQLyfRHIiBAKQEj7cFV3S9cjnZ8rlMPrEL9/SL644QRedMCR+TGZGdHnXkPxMSdL8tTUKRaz2tgb176eMHPhBAwAAIK10VAIRAiFZEQIBSAnrdzVLii798nlc+vCHH5fb6ej22LGDciRJP5/3oTLdTs0cUahplQUDNlYAAACkp5JYJRDLwZCsuv8LCgCSiLVWzy/fqQnlufLFloMdLACSpOJsj/73kuPV0BZUdaNfN545eqCGCgAAgDRGJRCSHSEQgKS3sbZZ63Y16epZw474MR2VP8cNztVpY4r7a2gAAABAXJEvQ06H0SE+rwQSiuVgAJJeXXNAkjSiyHfEjxlZnK3Lp1fo0mlDafQMAACAAeFwGI0flKNBeZmJHgrQLUIgAEmvviUaAhX4Mo74MQ6H0V2XTumvIQEAAADdevLGOXI5KAVCciIEApD06luDkqSCrCMPgQAAAIBE8LiciR4CcFDEkwCSXn1rtBIoP8ud4JEAAAAAQOoiBAKQ9Pa0BOTLcMrr5lMVAAAAAOgpQiAASWNXo1/hiD3g9vqWwFH1AwIAAAAAHIgQCEBS+GhPq067a76++/SKA+6rbW6nHxAAAAAA9BIhEICkcPe8D9UeiujPSz7Siu0NsjZaEdQeCmvp1nodX5GX4BECAAAAQGojBAKQcM8uq9KT72/XlTOGKi/TrU/+6i3d+Nh7kqT5a2vVGgjrnAmlCR4lAAAAAKQ2QiAACeUPhvXfz67S5CF5uvX8Cbrt/AmSpBdXVmtTbbPunrdelUVZOnVMSYJHCgAAAACpjRAIQEI9v3yndrcEdMvc8crxunXZ9KF6/qZTJEk3Pvae1lY36eZzx8rt5McVAAAAAPQGf1UBSS4Ujmjp1vp4j5xjibVWDy/cotGl2Tp5dFH89uMG52lCea7WVjdpQnmuPjl5cAJHCQAAAADHBkIgIEm1h8LaUteiGx5ZqkvuX6hH39mmv777kay1en9bvV5fX3vQx67Z2ahnPtihUDgygCM+OquqGnTrUyu1YkeDrp0zXMaYLvdfO7tSkyvy9D8XHy+HwxzkLAAAAACAI+VK9AAA7PPyqmoFwxFNqcjXg29s0iOLtsbv+97TKyVJ89bs0surdkmStvz4gi6Pj0SsHnhjo372ynqFI1Yba1t087ljB+4FHIXPPbRENU3tkqSLTxxywP1XzBimK2YMG+hhAQAAAMAxixAISBLhiNVX//S+AvtV7/zmmun6wT9Wa9ueVjkdRit3NMbvq2nyq7EtqP9+brV+cNEk/fCFNfrn6l26YHK5PtrTqj+9sy0pQ6D7XtsQD4AunVYhn4cfRQAAAADQ31gOBgyg+WtrtKGmKX690R9UMBb67Gr0KxCO6Lo5wzWhPFeSdPLoIp07sUzTKws0otintT84Twu+fZb+9IWZkqQV2xv03adX6s0P6/Stvy/XP1fv0pfPGKVfXXmizhhborrm9oP2Evrxi2s1/NvPJ6TX0F0vrZMkXT1rmH706eMH/PkBAAAAIB3x8TswABr9QU2/c54CoYhyvC794foZqijI1NyfvyGnw6F/mzlMp4wuliSdMa5Et8wdpxseWaqbPxat4vnRxccrEI7Ed8g6YWi+CrLc+tbfl6uuOaCRxT69s3mPJOnCKYNljFFmRnR6+4MRZWY4DxjTA69vlCRVN/pVluPV7xds1sVTK1Toy+jXr4W1Vh6XQ06H0bfOG68MF1k0AAAAVORO1AAAIABJREFUAAwE/voC+llrIKTvPb1SgVC04sda6eL7FmrGD/+l+tagJpTn6J5/fahHY/1/Kgoy5fO49OjnZ2rqsAJJktftVK7XHT9nVoZLP75ksuqaAzpucK4e+fxM5XhcqizK0riynNgxzvjzH8ranU16Z/Me3fn8Gk39wT/19Ps7+vxrIEUbQT++eJtqm9vVHorom3PHKafTawIAAAAA9C8qgYB+8uGuJt3/2ka9t61eW3a3xm9/6sY5unf+Bj2zrErf+fh4XTljmI6//RU9u6xKkjQ4P/OIzj/3uEF64OqpOm5wnobkZ+r9758rY0x8J63MeAgUVtF+j20PheOXV1U1qDTXG7/+9Sc+kMNhdOGU6Lbsu5vb9bu3Nuums8fI6z6wouhIhMIRXXL/QvmDEY0o9kmSKot8PToXAAAAAKBnCIGAfnLPqxv03LIq5XpdOnl0kfIzM3TRCYM1pixHd19xon58yeQDQpVzJ5YpK+PIp+V5k8rjl13OroV9mbFztwRC+sfyKp0/qTweEO2ob4sf99Kqas0asS8mKsjK0E2Pv69H396qAp9b1kqvrN6lOaOKdcqY4iP/AnSyqa5F/mBExdkejSz2aWxZtqYNL+jRuQAAAAAAPUMIBPSTjTXNyvG6NO/m07tU2nTorqrml1ee2GfP37Ec7LllVbp3/kb9+YsezRoZDXtqYztznTOhVPPW1GhvazD+uB9+apK+/Nh7WrxlT5fz7W5p7/FYahqjj73vqqmaMaKwx+cBAAAAAPQcPYGAfvDiip1avbNRV8+q7DYA2t/TXzlZv71meo+XW3WnYznYgg27JUl7WgLx+zq2Z7/+lBFyOoy2d6oMmjO6a7XP+EE5Bzy+s9ZASI8v3qbQflvbd1bT5JckleR4jvZlAAAAAAD6CCEQ0A8ee2ebJMX76hzOCUPzdc7Esj4dQ8dysOXb90qS1lY3acGGOkn7KoEmDMrVabElXq7YUrG8TLcqi7IkSX/54iw9+vmZcpiDh0A/fH6NvvPkCs1bU3PQsXQ8HyEQAAAAACQOy8GAfrCptlmfPnGIJpTnJmwMHb2FIjZ6/Z5/fShJWvZfH1NNU7vcTqP8LLcumVah+etq9ejnZ8aXiz1/06kKh63ysqK7dxX6MlTXvC8EaguE9dNX1mlYYVY88Hrzw1qdN2lQt2OpbWpXptspXzdb1QMAAAAABgYhENDHWgMhVTX447tgJUrWQQKXX8z7UC+vqlZJtkfGGF1wfLnKv+yNb0cvSdmerj8aCn0ZevaDHfrvC49Thsuhxxdv0+/e2ixJGlHs08hin55dVqWvnztWxdkHVvvUNLWrNDf6fAAAAACAxGA5GNDHlmyplySNLElsCJTZKQTqWOolSb9fsFk79rZpZqzqxxijaZWFhwxodjW2qyUQ1oNvbJQkvbhypzJcDn3h1BH6zTXT9Z3zJ6jJH9Ljsaqg/a3f1aShBVl98bIAAAAAAD1EJRDQh9ZVN+mmx99XZVGWTh1TktCxdPQEKvRlqDg7Q+t3NeuCyeX6/icmyukw3VbsHMydn5qkrz7+vn76ynoVZ3u0rrpJl02r0G0XTIwfM2N4oZ5bXqWvnj2my2N3Nfq1trpJ3zpvSN+8MAAAAABAj1AJBPShLz+2VF63Q4/++0zlZboTOpaOEGhKRZ5yvdGxDC/KUlmu96gCIEn65JTB+t210zUo16tvP7lCjf6QxsV2Ddt3TLnW72rWgg11aui05fx7W6OVUbNHFfXm5QAAAAAAeokQCOgj4YjV5roWXT59qIYWJn7pk8NhNGNEoc4/vlxledFt6gflZfb4fGdPKNOb3zpTF0wulyRN3K/p9cePL5fLYXTVb9/RiT94RRtqmiVJm+paJEmjS7N7/NwAAAAAgN5jORgQs6qqQaNLs+Vx9WwHqyZ/UNZK+VkZfTyynnvihtmSpPMmDdKpo4v1iSPcsv5g3E6H7rniRF1/8ghNHZbf5b7ibI+e+NJsvbe1Xnc+v0bLt+/V6NJsbalrUUmO54Bm0wAAAACAgUUlECDpoz2tuuCet/SlR5b2+Bx7Y0ug8hO8DKw7OV63rpgxrE+CGKfDaFplQbeNpKcOK9C1c4bL5TDxSqAtu1s0oiixTbIBAAAAAIRAgCTppZXVkqT562rlD4a7PWb+uhp95U/vHfQce9tiIVBW8oVAA8ntdKiyKCseAm2ua9Xw4sQvjwMAAACAdEcIhLRX19yuB17fGL9e3eDv9rjPPbREzy/fqVA40u39e1sDkgiBJGlUSbY21jaryR9UXXO7hhdTCQQAAAAAiUYI1E8iEavgQcICHBlrbb+ef+HGOn3jiWX69t9XqKk9pNs/Gd3uvKqh7ZCPaw/t+742tAUVjtj4ZUnKy0yenkCJMro0W1t3t+rDWDXQSEIgAAAAAEg4QqB+cutTKzTmthcTPYyUNX9djSZ+/2U988GOPj1vXXO7dje3S5I++7vF+vt72zVvzS59c+44nTm+VJJUtbf7SqAOgVgItKcloJPunKcbHnk3Oua1NZKoBJKiIVAoYvX6ulpJohIIAAAAAJIA2/X0kz8v+UiS1NIeko9dkY7az15Zp7ZgWPPW1OiiE4ZIknY1+lXky5DL2bPsMhKxOv8Xb6qmqV2Fvox4Bc+skYW6/uQRCkai4U7V3iOrBPrzkm0KhCOat6ZGjyzaqqc/qJIk5SVhY+iB1rEd/Curd0mSKgsJgQAAAAAg0Y7or2ljzHnGmHXGmA3GmG93c78xxtwTu3+5MWZq3w81NS3eskc1TYeuLEFX66qbtHJHoyTpuWVVqmnya3VVo2b+6F96aMGWHp939c5G1TS164LJ5TpxaL6unDFM824+Xb+79iQ5HEYel1NDCzO1dGv9Ic/TUQlUtbdN2R6XxpRm6/ZnV0mSLp1WIXcPQ6pjydiyHGU4HVqzs1GD87zKzHAmekgAAAAAkPYOW6JijHFKulfSuZK2S1pijHnWWru602EflzQm9m+mpPtj/z3mff+ZlcrMcKoiP1OLNu3R2upGnTqmJH7/5x5aoilD8/X0jXO63VIbB7p3/gZlZTh13Zzhuu+1jTr9rtdUkuORJK2saujROdsCYX3il29Jkm47f4IG52d2e9ynTxiiX87foO31raoo2Lej1Vsf1sUvt4eiu4fVtwRVmuvRjy4+Xpc98LZcDqM7PzWpR+M71njdTp0wNF+Lt+xhKRgAAAAAJIkjKVmYIWmDtXaTtTYg6c+SLtrvmIsk/dFGLZKUb4wp7+OxJh1rreqa2/XbNzfre8+s0osrd8rtdOjhhVu6HLfso716Z/OexAwyhUQiVuuqm/Tc8ipdM3u4vn7uWP31S7N11vhSbdvTKklqDXS/ffvmuhYt2rT7oOfeWBttUHzqmOKDBkCSdPlJQyVJT7y7PX6btVZX/+6d+PX2Tj2BCrMydNLwQt1w2kjNnTRIXjcVLx3OnhDtseR0EH4CAAAAQDI4kmY1QyR91On6dh1Y5dPdMUMk7ezV6JKcMUb3XTVNNU1+vba2VudOLJPP49LF9y+IL2fq8OvXN2rWyKIEjTT5BcMRnfWz1/TRnmg/ni+cOkJup0MnDS/UScML9aPWoL72l/e1s6FNDW1B3fmP1bpl7jiV5nolSWf+9DVJ0pYfX9Dt+TtCoO9eMPGQ46goyNLpY0v0xJKPdNNZo+VyOjRvTU2XYzqHQJVF0Wqh75w/oWcv/Bh23cnDtbKqUZ+ZPjTRQwEAAAAA6Mgqgbr7GH//vbuP5BgZY75ojHnXGPNubW3tkYwvJZTmeHX5SUNV4MtQhsuhuz9zgoqzPfH78zLdmr+uVuuqm474nH9YuEXn3f1Gfww3KVU3+OMB0K3nj1dRp6+fJOVluTU4P1NVe/16fPE2/XXpdr2+/sD/hzqWau1vY22LHEbx0OZQrjhpmKob/frGX5fp+oeX6EcvrNHIYp8e+fcZXZ5jT2tAhT62gz8Yj8upX155ok4ZU5zooQAAAAAAdGQh0HZJnT/Kr5BU1YNjZK190Fo73Vo7vaSkZP+7jxmjS3O05LazlRVrhvuZ2BKjN/YLLR5fvC1eobK//3p2ldZWN6nRH+zfwQ6wF1fs1Acf7T3g9urGaPPsP14/Q188bVS3j60oyNKeloAejjWH3l5/4C5euxrau33stt0tKs/LPKLlWudOLNNxg3P1zAdVenVtjTbXteg750+I7/IWCEVkrVV9CyEQAAAAACB1HEkItETSGGPMCGNMhqQrJD273zHPSromtkvYLEkN1tpjeinY4Rhj4rtEDS/yqSDLrU11+wKfUDii7zy5Qp+6d8Ehz7OlrqVfxzmQIhGrW/62XFc8+LYWbKjrcl/HtuyD870HffykIbmS9gVGO7rZyr2qofvt3Xe3BFSc4+n2vv05HUZ3XHRc/HpxtkfnTChVRuz72R6KqNEfUihiCYEAAAAAACnjsD2BrLUhY8x/SHpZklPS7621q4wxX4rd/4CkFySdL2mDpFZJn+u/IaeOjhAo2+vSqJJsbazdF+jsbYtW+DT5Q/Hblm6t16gSn/Kz9gULm2pbNLkif4BG3L9eX1+r5vaQMlwOXfP7xQpHrH562RRdOq1C1Q3RYGdQ3sGbNnd8HUpzPCrPz9T2+miz6HBk38rDl1ZWa0h+pq767Tv6zTXTNW5QjqRo/56y3IMHTPubVlmol792mloCIVUWZskYI687+v0MhCJqjH3/8jLdR/EVAAAAAAAgcY6kMbSstS8oGvR0vu2BTpetpK/07dBSn9sZbZWU7XFqZIlPr67dtxysviXQ5dhwxOqS+xdKkpbcdo4yXA4FQhFtOkYqgepbAvrcw0skST/81CTd8rfl0cvPr9al0yq0s8GvHK9L2Z6D/y+Zl+nW5dMrNK2yQIs27dHi2I5r9a37vpYPL9yirAyntu1p1fvb6uMhUH1LQBPKc49qzB2P7ZDhjC4law9F1BALgXIJgQAAAAAAKeJIloOhh+KVQB63RpZkq665Pd7jp761a6+fPZ1CoVPvelWB2A5UVd0seUpF78QCG0k6e0JZ/HLH9uE7G9pUnnf4Sp27Lp2iz5w0TGPKsrVjb5seWbRVNz76niTplNHRBsSPLtoqSaqKVRdZa7W7D/r3eKgEAgAAAACkMEKgfuSKVQL5PE6NLPZJkv6xLNoqqXP1iiTtbok2NL5l7jidf3y5YtlISoZA1tp4pUyHxZv3yOUweulrp3YJYxymIwTyH3Ip2P46qnq+9/RK1TT5dd2c4fr8qSMkSY2xJXZVe9u0sbZZ2/a0qj0U6X0I5OroCRSOh3m5XkIgAAAAAEBqOKLlYOgZtyMaGhgZjSzJliTd+tQKnTdp0AHLweqaotenVxboK2eO1k8unaKb/vy+Vlc1Duyge+mxd7bq169v0rY9rbpuznDdfmG0wfLmumaNG5Sj8YO6LskKRaystdrZ4NfEo1iu1fnY+66apomDc1XTFK38MUYaWpClFdsbdOn9C9USiG7pXpjVuxAow7WvEqgj5MrLIgQCAAAAAKQGKoH60f9eOllzRhVpVKlPlUVZ8dv3tATiy8E6lkPVNUcrgTp2sHI6jIbkZ2rH3jZFWy4lv1A4ojueWy2fx6Uxpdn60zvbFAxHl7Vtr29TRcGBlT57WgK66N4Fqmtu16AjWA7WoSzXq59cOlm3nT9BE8qjvXtKsj3yuh06aXihThiar3W7mlTfGoyHP8M6fQ96osvuYG3RaqNcLzkqAAAAACA18BdsPzphaL7+9IVZ8etfP2esfj5vvZrbQ/HlYOGIVSgc2RcC+fZtY15RkKlAKKKqBr+G5B/5UqlE+bCmWe2hiG44baQi1urmJ5Zp6+4WjSrJ1vb6Np02tiR+7FfOHKV752+UJK3Y0SBrpcFHsRxMki6bPrTLdWOM7rhoksaW5Sgv061nl1VJku67eqqKfBmqLPL16vW5nA45HUaBUESBUEQOI/kymEIAAAAAgNRAJdAAmjO6SJLU7A9pV6M/fnujP6S65oDcTqPczH2hwowRhZKkN9fXKhWs2NEgSTq+Ik9jy6LVOX99d7uefG+H2oLhLpVAt8wdr79/ebYuOmGwnvuPU3TB5PIuIVFPXT59qE4Ymq8RxT6dd9wgSdK4spxeB0AdPC5HvCdQbqZbjo7mTQAAAAAAJDnKGAZQx/bnTf6gqhv2hUB7WwOq2tum8rxMGbMvVBhXlqPyPK/mr6vRFTOGDfh4j9bKHQ3K9rg0osinQDii4myPfv3GJknR5W3HD8nrcvy0ykJNq4wGXff+29Q+H8/dV5ygnQ1++Q6x7fzRys90q645oIi1NIUGAAAAAKQUQqABlBPrH9PUHq0EyspwqjUQVkNbUNvrWw/omWOM0RnjSvXcsioFQpF4Y+JktWJHgyYOzpXDYeR1OPXCTadoVVWjynK9qijMHPDQxOt2akRx31QAdRg3KEdrdjaqPM/bpWoLAAAAAIBkl9ypwjEmxxMNQZr8Ie1qbI8vmWpoC+qjgzROPmNciZrbQ3p3654BHevRCoUjWl3V2KXapzTXqzPHl2ri4NxjpmpmfHmuNtY2a3dLQHmZx8ZrAgAAAACkB0KgAZQdqwTaUd+mtmBY42IhUE1Tu2qb2jW04MDdq04eXSy30+j1dcnZF+iRRVv1i3kfav66WrWHIppckXf4B6WwCeW5Coat1uxsPGaCLQAAAABAemA9ywByOoyyMpz6y5JtkqJVPn959yP9a80uSdKo0uwDHpPtcemk4YV6fsVOXTljmIb38fKm3vrFvPWqaw7Er08acmyHQBNj29EHw5ZKIAAAAABASqESaIBle1xqCYT12VmVOmtCqSTp5VW7VOTL0FnjS7t9zJnjSrW9vk1n/PS1ARzp4Vlrtbc1qEunVcRvG9FHu3Alq+FFvnhvplxCIAAAAABACiEEGmAlOR6NLPHp1vMnyONyyuuOfguumjlMXrez28d0hEWS5A+GB2ScR6IlEFYoYjWmNFtvf+csPXnjnGN+y3SX0xFfxpfrpZAOAAAAAJA6CIEG2P1XTdMTN8xWZkY08MnLdMvtNLp6VuVBHzOqJFtfOn2UJGlPS+Cgxw20hragJCk/y63yvExNHVaQ4BENjAmxJWEsBwMAAAAApBJKGQbYsKKuzZ+PG5ynwfleleZ6D/m4qcPyJUm7mwManH/gLmIDJRiO6IOP9mrtzkZNKM+VJOVlZiRsPInQ8bpZDgYAAAAASCWEQAn2++tOkrX2sMcVZXskSXUt7f09pIOy1uqKBxdp6dZ6SdJlsV5A6VYRM7kiGsiV5hw6uAMAAAAAIJmwHCwJGHP4PjrF2dFqmz3NiVsOtqqqUUu31usLp46QJK3b1SQpuhwsnUyrLNCz/3GyZo0sTPRQAAAAAAA4YoRAKaLQFw2BdiewEuilldVyOoy+fMZoZXtcWr69QVL6VQJJ0WqgIwnvAAAAAABIFoRAKSLb45LLYVTfGkzYGP61tkbTKgtU6MvospNZR0AFAAAAAACSFyFQijDGyOdxqS2QmC3id+xt05qdjTontl19XXO0IumBq6cedGt7AAAAAACQPAiBUogvw6nm9lBCnvvVtTWSpLPGl3W5/dQxJYkYDgAAAAAAOErsDpZCsjwutQYSEwKtrmpQkS9Do0p8kqRH/32mlm3fK5+H/4UAAAAAAEgF/AWfQnwZTrW0J2Y5WHN7WHmZ7ngz5FPGFOuUMcUJGQsAAAAAADh6LAdLIT6PSy0JWg7W0h5SlofePwAAAAAApCpCoBSSleFSS4IaQ7e0h+TLoHAMAAAAAIBURQiUQnweZ8J6ArUEQvT/AQAAAAAghRECpZCsDFfCegK1tIcJgQAAAAAASGGEQCkk2hh64CqBVmxv0M1PfCB/MBxbDkZPIAAAAAAAUhWlHSkky+NSWzCscMTK6TD9+lx1ze167J2tevK9HaooyIqGQFQCAQAAAACQsvirPoVkx3bnaguGld2PgcyWuhad83+vqzTHI0l6dNFWtQbDVAIBAAAAAJDCCIFSSK7XLUmqbwmoyR/U5roWzRlVfMjH3P7sKr2/rV7Di336zscnaFCe97DP8+aGOoUiVlUNfknSnpaAJFEJBAAAAABACqMnUAopiwU4uxr9Ouunr+vffvPOYR/z0spqbd3Tqmc+qNIb62uP6HkWb94Tv3zW+FKNKc2WFF2OBgAAAAAAUhMhUAoZlBsNgaob/WoLRncJs9Ye8jEtgZDOHl8mSWr0Bw/7HNZaLd68O369LNera+cMlySWgwEAAAAAkMIo7Ugh5bFKoOrYMi1J8gcjyjxIOGOtVWsgrLJcj4yRGv2H3lns9fW1yvW6tKuxvctzXjK1QlvqWnTK6EMvPQMAAAAAAMmLECiF5GW65XE59MqqXfHbqhraNKoku9vj20MRhSNW2V6XsjNcamw7eCVQeyisa3+/+IDbp1cWKDPDqe9+YmLvXwAAAAAAAEgYloOlEGOMRhT7tHjLvp49Z//sddXHGjfvr6U9Wvnjy3ApN9N9yOVge1v33Vfoy1BFQaYkaWplQV8MHQAAAAAAJBiVQCnmD9fPUGsgrDU7G3XjY+9JkupbAyrwZRxwbGsg2jfI53Epx+vSmp1N+uPbW3TN7OEHHNs5BJo1slC3nj9B2+vb5HXTBwgAAAAAgGMBlUAppizXqxHFvi7btfuDkW6PbY5XAjmV63Vrzc5Gff+ZVaprbj/g2PrWaDXRZ2dV6vZPHqeKgizNGlnUD68AAAAAAAAkAiFQiuq8U1dH2CNJ66qb4o2jWwPR27M8LtU07Wsm3dBNb6COSqArZgxVaWwXMgAAAAAAcOxgOViKysrY961rbt8X6tz42FKNLMnWt84br78t3SEpGhht2d0aP6a7BtF7Y5VA+VkHLisDAAAAAACpjxAoRWV1qQQKxy/vbgmovrVec+9+Q+GIlRTtCXTt7Er94e2tkrrfKn5vLBjKz3T357ABAAAAAECCsBwsRWV5OoVAsVDHWqsmf0h7WgLxAEiK7g723xdN0stfO01S95VA9a0BZTgdXcIlAAAAAABw7CAESlG+bpaDtQXDXcKfDh2BUUFWtMqnu55AG2taVJ7vlTGmP4YLAAAAAAASjBAoRWW6D6wEaupmmZckFcb6/OTGlno1+ruGQP5gWAs21Om0MSX9MVQAAAAAAJAECIFSlMNh9MrXT5PDSE3tHSFQNNxxmAOPlSSPy6EMp0ONbV3Donc271FbMKwzxxMCAQAAAABwrKIxdAobW5ajslyvnl++Uws37I5X+JwwNF/vbdsrSbp46pD48cYY5Wa6D6gEmr+2Rh6XQ7NHFg/c4AEAAAAAwICiEijFzT1ukEpzPQqEI9rZ4JcknTmuVJJ0y9xxuuuSyV2OL8/zanNtS/y6tVbz19VozqgiZdIUGgAAAACAYxaVQCnu9guPkyQ99s5W3fbUSknSWRNKtbctqEumVsjl7JrzzRhRqEcWbZU/GJbX7dSmuhZt3d2qz58yYsDHDgAAAAAABg6VQMeIshxv/HKRz6PvfWKiBuV5Dzhu9sgiBUIRvR9bLjZ/bY0k6YxY9RAAAAAAADg2EQIdI8pyO4VA2RkHPe6kEYVyGGnRpt2SpPnrajSmNFtDC7P6fYwAAAAAACBxCIGOEWW5nvhlt/Pg39a8TLeOG5ynt2Mh0IaaZp0wNL/fxwcAAAAAABKLEOgYUZQdDYE+feKQwxwpzR5VpA+27ZU/GFZjW0j5We7+Hh4AAAAAAEgwGkMfI5wOo/e/d65yvIf/ls4eWaQH39ik7z+zUm3BsPIyCYEAAAAAADjWEQIdQwp8B+8F1NnsUUU6dUyxnnh3uyQplxAIAAAAAIBjHsvB0pDX7dQj/z4zfj3XSwgEAAAAAMCxjhAIys2kIAwAAAAAgGMdIVAaczuNJCqBAAAAAABIB4RAaczrckqiJxAAAAAAAOmAECiNedzRECgrw5ngkQAAAAAAgP5GCJTGfv6ZKZoyNF9lud5EDwUAAAAAAPQzOgKnsVPHlOjUMSWJHgYAAAAAABgAVAIBAAAAAACkAUIgAAAAAACANEAIBAAAAAAAkAYIgQAAAAAAANIAIRAAAAAAAEAaIAQCAAAAAABIA4RAAAAAAAAAaYAQCAAAAAAAIA0QAgEAAAAAAKQBQiAAAAA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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "Sp500_cumulative_returns.plot(figsize=(20,10), title=\"Cumulative Returns of SP500\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x26e1e783700>]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(core_portfolio_returns)\n",
+    "plt.plot(SP500_daily_returns)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.013021605893950699\n",
+      "0.0008521218194888947\n"
+     ]
+    }
+   ],
+   "source": [
+    "#calculate Std Dev of Portfolio\n",
+    "\n",
+    "print(core_portfolio_returns.std())\n",
+    "print(core_portfolio_returns.mean())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>PPG</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>106.26</td>\n",
+       "      <td>53.94</td>\n",
+       "      <td>162.83</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>103.37</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>107.32</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>163.10</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>104.62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>106.95</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>163.45</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>105.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>105.74</td>\n",
+       "      <td>54.25</td>\n",
+       "      <td>162.19</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>105.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>105.41</td>\n",
+       "      <td>53.69</td>\n",
+       "      <td>162.39</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>106.46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>254.82</td>\n",
+       "      <td>207.82</td>\n",
+       "      <td>342.58</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>120.25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>256.82</td>\n",
+       "      <td>209.44</td>\n",
+       "      <td>349.62</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>121.74</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>261.79</td>\n",
+       "      <td>207.26</td>\n",
+       "      <td>352.14</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>120.33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>261.90</td>\n",
+       "      <td>210.33</td>\n",
+       "      <td>355.00</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>122.08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>266.63</td>\n",
+       "      <td>212.46</td>\n",
+       "      <td>358.46</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>121.78</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  SP500       ORCL          SQ        NVDA        BABA  \\\n",
+       "2015-11-19  2081.239990  36.108597   13.070000   30.458263   77.870003   \n",
+       "2015-11-20  2089.169922  36.404728   12.850000   30.722525   79.949997   \n",
+       "2015-11-23  2086.590088  36.219639   12.120000   30.262524   81.309998   \n",
+       "2015-11-24  2089.139893  36.515770   12.020000   30.507206   80.860001   \n",
+       "2015-11-25  2088.870117  36.330700   11.900000   30.468054   81.709999   \n",
+       "...                 ...        ...         ...         ...         ...   \n",
+       "2020-09-25  3298.459961  59.799999  157.720001  514.950012  271.089996   \n",
+       "2020-09-28  3351.600098  59.580002  160.759995  521.400024  276.010010   \n",
+       "2020-09-29  3335.469971  59.470001  164.809998  529.030029  276.929993   \n",
+       "2020-09-30  3363.000000  59.700001  162.550003  541.219971  293.980011   \n",
+       "2020-10-01  3380.800049  59.680000  168.490005  544.580017  290.049988   \n",
+       "\n",
+       "                  PFE        NFLX         CRM     AMT      FB    MSFT    COST  \\\n",
+       "2015-11-19  27.049994  120.220001   80.639999   99.63  106.26   53.94  162.83   \n",
+       "2015-11-20  26.957846  123.839996   80.989998  100.49  107.32   54.19  163.10   \n",
+       "2015-11-23  26.245783  125.029999   80.779999   99.94  106.95   54.19  163.45   \n",
+       "2015-11-24  26.781923  123.309998   80.389999   99.26  105.74   54.25  162.19   \n",
+       "2015-11-25  27.535873  124.160004   80.410004   99.09  105.41   53.69  162.39   \n",
+       "...               ...         ...         ...     ...     ...     ...     ...   \n",
+       "2020-09-25  36.049999  482.880005  242.740005  239.81  254.82  207.82  342.58   \n",
+       "2020-09-28  36.389999  490.649994  246.669998  240.00  256.82  209.44  349.62   \n",
+       "2020-09-29  36.169998  493.480011  247.449997  240.12  261.79  207.26  352.14   \n",
+       "2020-09-30  36.700001  500.029999  251.320007  241.73  261.90  210.33  355.00   \n",
+       "2020-10-01  36.369999  527.510010  253.449997  242.15  266.63  212.46  358.46   \n",
+       "\n",
+       "               BLK    TROW     UNH     PPG  \n",
+       "2015-11-19  359.09   76.38  110.63  103.37  \n",
+       "2015-11-20  362.46   76.37  112.97  104.62  \n",
+       "2015-11-23  363.25   76.15  112.16  105.47  \n",
+       "2015-11-24  356.81   75.62  113.19  105.49  \n",
+       "2015-11-25  360.62   76.01  114.41  106.46  \n",
+       "...            ...     ...     ...     ...  \n",
+       "2020-09-25  547.81  125.22  302.50  120.25  \n",
+       "2020-09-28  558.65  128.55  303.23  121.74  \n",
+       "2020-09-29  554.80  127.49  304.15  120.33  \n",
+       "2020-09-30  563.55  128.22  311.77  122.08  \n",
+       "2020-10-01  567.91  128.04  313.07  121.78  \n",
+       "\n",
+       "[1225 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "portfolio_5yrs = combined_portfolio_df.drop(columns=['MCD', 'VZ', 'JNJ', 'CLX', 'WMT', 'NEE', 'GD', 'MMM', 'ACN', 'UPS', 'HD', 'SBUX', 'PSX'])\n",
+    "portfolio_5yrs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+1aZHIcroVwIpJXfddRejR48mJiaGEydOkJGRwXPPPQdA//792bdvH/v27WPDhg389ddfADz44IN4enoSExPD4cOH+fzzz0lKSqrNR1Eo6h1SSj7+8zS3vfmHSbbi/l4EeLmYrj31UXSh0b/e3bA5+QbmfX+EhLSSmezW7I61uO7q37jUfmoixpZavVMJfvvtN5ycnJgyZQqgxeFZsmQJgYGB3HrrraZ6zs7OhIWFcfHiRU6dOkVUVBRfffUVNjbau7Z169a0bt26Vp5BoaivrNkTy/yNR03Xg9s3p29wU4QQfD6lJ5OX7+K/d2i5KZq6Vs1I/4cDcXz21xlyCgwsGNPJomz2NwcsrnsEeJbZ14f/1x0vt+px7UB9MPqbnoH4g1Xbp08nGF56tqrDhw/TvXt3C5mHhwf+/v4WMfRTUlKIiYlhwIAB7Ny5k7CwMGxtbatWV4VCYSLfYGT215qRXTe9L25OdgR5F7lOw9s2s9jw5OSgDcByrjPC5UF9cji/WD/mvyBu79Cc0WHXjiZf3S6eum/0awEppdWfYYXyrVu30rlzZ44fP84zzzyDj0/1++kUCgUs+/M0AFMHtKZLK+tuFPMNT0722iAsN//6IlzGpmjLQFOy8k2yddEXeSxS24j15JAQHqmm1TgVpe4b/TJG5NVFaGgo33zzjYUsLS2NCxcuEBQURP/+/dmwYQMnTpygX79+jBkzhtDQUPbv34/RaDS5dxQKxfVzOjGDt3+NYdLNN/HObzE0drFnzvB25WrrZKcZ/ZzrNPqFG6sKjEUj/SfX7Ded5xlunBhnyvpUgkGDBpGVlcWKFSsAMBgMzJo1i8mTJ+PiUjRZFBISwpw5c1i0aBFBQUH06NGDF1980bRyICYmRqVBVCiug9iULN78+QTroi9x9wfbyck3cnc3v3JPiNrbCmwERF+4atopWxnOJWsj/QtXsvjpcDwro86Tb2boJ91ceuj1mkYZ/UoghGDt2rWsWbOGNm3aEBISgpOTEwsWLChR9z//+Q9//vknZ86c4ZNPPiE+Pp7g4GA6derEv//9b1NylKysLPz8/EzH4sWLa/qxFIo6xbroi/Rb9Ds/HLQ01hN7+Ze7DyEEXm6O/HI0gekr91ZKj3yDkYupWiiHU4mZPPTlHp5dq80zPjuiHWcX3mHaD3AjUPfdO7VEq1at+P7770vIC7NpFeLs7MzFixdN1x9//LHV/ozGmtkRqFDUB348FG/ylwMEebtyKjGTxeO6ENysYnteWjVxvq4lmylZpW/sGhjSrNL9VhfK6CsUijrFhgOXeGTlPgAeHxzCmK6+2NoK3vz5OMM7trhG65LYmyUtqUwSk7J28/o2ca6wPtVNedIlOgkhdgoh9gshDgshXtLlnkKIzUKIGP3fJmZt5gghTgohjgshhprJuwshDuplS4XK9q1QKCqAlNJk8L9/pB+PDW6Dv5cLvo2dWTwuDGeHii+JNpolksqqxITunnMppZa5VkKf6qY8r7Rc4DYpZRcgDBgmhOgDPAP8KqVsA/yqXyOE6ABMAEKBYcD7eqpFgA+AqWh5c9vo5QqFooFwOT2Hv08lUdmMfc99p6Xibt3U1ZRd6nrJyC0y9Nl5FTP6SRm5/Pe7QxbG/T8Di6Jn3ojj2msafalRmLLdXj8kMAr4Qpd/AYzWz0cBkVLKXCnlGeAk0EtPpO4hpdwutb/4CrM2CoWiniKlZGbkPqau2E2v+b/yz4+j+HLHOat1r2Tm8dqPx/h025kSyyh3nE5mZdR5AD6b3LPK9MvMLTCdZ1XQ6BdG7Pw/s9U5N9JKHWuUy3klhLAVQkQDl4HNUsoooLmUMg5A/7dwxsIXuGDWPFaX+ernxeUKhaKe8vPheLq/8gvfRV/i5yMJJnnU6StW6y//6wzvbznFyxuO0O75HynQQx5P+mwnE5btAGDz4wMIKJZi8HrIyiuwel4e0nO0+mO7+eHjoYVKburmiL+nCx/c262sprVGuSZypZQGIEwI0RhYK4ToWEZ1a79nZBnykh0IMRXNDYS/f/mXXykUihuLb/de5Eqm5USni4MtF/QdrOas2nWed347aSELfm4T6x/py58nEgEYGOJNm+buVapjRiVH+heuZPFoxD4c7WzwbeLMTzMHkJVfgIOdDX/OvvXaHdQSFZqmllKmAlvQfPEJussG/d/LerVYoJVZMz/gki73syK3dp9lUsoeUsoe3t7eFVGxxpg/fz6hoaF07tyZsLAwoqKiyMvLY+bMmQQFBREcHMydd97J+fPna1tVhaJKOZOUyXu/nywzSNmHf5xizrcH+ONEIl6uDiwZ34V3/9mV5VN6MrqrL7FWUhT+fSoZGwHrH+nL/x7obZKPfFeLUvvQgNZ8cX+vKn8e8zX01zL6UkrTfET/134HwK+JMy4OdjRysadFoxtvtU5xrjnSF0J4A/lSylQhhDMwGFgErAfuAxbq/xZuLV0PrBRCLAZaok3Y7pRSGoQQ6fokcBQwCXinqh+oJti+fTsbNmxg7969ODo6kpSURF5eHs8++yzp6emcOHECW1tbli9fzqhRo9izZ48KvaCoMCcS0lmz+wLje/oTk5DOsI4+tT4xuPjn4yzVR+Ov/3Sc0wtGYGNTUqeFm46Zzt+eEMaQ0KL4U0fj0riSmUfAMz/wxj1dEEBbH3fW779EN/8mdPbTYuYsn9KTKct3mdrNGdG+Wp5pxf29WLDxGL8cTSC7DPeOlJLAORsZFupjEQXz9Xu6VIte1UV53DstgC/0FTg2wGop5QYhxHZgtRDiAeA8cA+AlPKwEGI1cAQoAKbr7iGAacDngDOwST/qHHFxcTRt2hRHR22E0LRpU7Kysli+fDlnzpwxRdKcMmUKn332Gb/88gtDhgypTZUVdYDLaTlMX7mX18Z2wdHOhpmR0RyJS+PjrWcAWPlgb24pIwFHdXI2KZOvos6ZdCkkNTvfFJu+kPScfOxthSkMwcC2lr/W/ZoUhSoxj08DkGLmCurYsmpW51yL1t5uPH9ne345mkBmbukj/Wx9YvnHw/EW8m7+TaxVv2G5ptGXUh4AulqRJwODSmkzH5hvRb4bKGs+oMIs2rmIY1eOXbtiBWjn2Y6nez1davmQIUOYN28eISEhDB48mPHjx9OkSRP8/f3x8PCwqNujRw+OHDmijL7imsz9/jC7zqZw6xtbrJZH7rpQK0b/y+1neX7dYdP1w+FB7DufyvbTyVxKzbYw+pfTcui14FcAhoY2Z2ioD452lmvVfRs7URp3dy/yADd2sS+1XlXj4qCZQmtzDYVYc/082C+w2nSqLpTPoRK4ubmxZ88eli1bhre3N+PHj+f3338vNdyy4sbDaJQ8tWY/e8+XvrGmpvSQUhJ/NYeNB+NLlL8zsSsn5w/Ht7Ez6/df4kBsao3qdyk128Lg/zprILOHtWPmYC1M8J3vbGPcR9tJ1v37k83cMS/+I5S7uvlRnJaNrfu9h3f0YfqtwaZre1sbmrk74mhnw8p/97bapqpw0dfZv/VLTIkyg1Hy7xW7eWHdoRJlVbVXoCap82EYyhqRVye2tramODudOnXio48+4ty5c6Snp+PuXrS6YO/evYwdO7ZWdFSUTlxaDmv2xLJmTyxnF95Ro/c2GCU/H46n201NuPOdbYS1aswfx7XVKZ/e14PYlGwOX7rK3JGhphHokvFhjPtoOwlp1ZfL1ZwTCek8uWY/bfWVMg+HB/HQwCBTLPpegUXZn3aeuULvBb8S/eIQjsSl0SvAkxUP9DLFqi9OM3frI/3/61NyffvO5wZf76OUC+dSdAVtDmKz2XJTc8xdVXWFOm/0a4Pjx49jY2NDmzbaaCc6Opq2bdvSqVMnnnjiCT788ENsbW1ZsWIFTk5O9O3bt5Y1VhTn7V9OmM4zcwtwday5/wq/HE1g2ldFER0LDcqtbb0ZEOJtEQumkMKJw4quI68MBQYjQ5b8CcCB2Kvc2tab2cMs49MLIZgWHsQHW05pbYyS83p44f+7+aZSDT6ArZWJ31vbetO3luYrAKuT0YXc+c62Uss6+nqUWnajoox+JcjIyODRRx8lNTUVOzs7goODWbZsGe7u7jz11FO0bduW7OxsvL292b59e62vuFBYci45k9Vmyaojdp7nwf7Vn6tYSknkrgvM+bYovae/pwvnr2jG8rPJPUv9rhS6H17/6TgtGzvTM8CThLQcZn99gAV3dcK3FJdJRbiYmo2UksU/n7CQl5bT1b6YoXxLf5GGNL92lMsTrwzHKCVH4tJuuIlQg1FafTEBONjZMDqsJb8evUxyZl6J+Yq6gDL6laB79+78/fffVsuWLl3K0qVLiY+PZ9iwYXz55ZdMnTq1hjVUlEZaTj4DX98CwMYZ/RmxdCvJZitG8g1GbIRg7/kU8g1Gbgmq3OjzYOxVdp69wpRbAkyjyD6v/lrCPfPK6I4YpMTJzrbMwUGhmyc2JZvJn+3k8LxhbItJ4o8Tibz503EWjw8D4Js9sXi7OzIgpPz7W3ILDAxd8idnk61PYoa3td7XfbcEcCopk2dHtKfvwt9MO269yxE73sFO+zVzoxl80L4DtjaaMb9wxfIzmdTnJv57ZweSMnJLbDqrKyijX034+PgQHR197YqKGuUTPYcqQIeWHni6OpCeU5TXdOBrv+Pt4cTRuDTyCoz8Nmsgrb0rFp/9k62neeWHowC8vOEIx18ZRmJ6rsngLxnfhaGhPiSl5+HvVT6fsItZQK/MPIPFAoEk3fhk5RUwS18CWd55iqtZ+XSZ93MJ+TPD29GmmRuujnaElrJ00svNkff+qYUa6BXoyc4zWmiFxi4OVuvXFfIMRpN76uOtpy3K2vpocxxN3RxvqMQoFUGt3lE0GC6n5Zg2Fn378C0AuDvZkZat+cmTM3K5dDWH/RdSySvQYr689P2RCt/nx0OWq3CmrtjD9/u17E4zBrVhTFc/XBzsym3wgRJ+/rX7LpqyNV3Ulxl+u1dL1lOaa8Ian/1VtO7+z6eKQgfc3NqLQe2b06e1V7n6eXxwiOm8Ive/EckvKEpoZJ5EHaCZR+nLTesKaqSvaDC8tEEz4I8NamNyK3i5OpCcmcvPh+OZ/c2BEm3+OJFIboGhVN+t0ShZtvU0Gw5c4tDFNHrc1ITd51KYOqA1T9weQrvnf+SPE4n8cSKRpm6OPHF7iNV+Ksrc9YdJ04N9nUrMZM63B4nYqYX8CClnbJoJy7azQw98tmPOIHwaOXFH5xb8cCCO0JYVm6Ds0qoR7o52dXIJY3HyDEVGv3Bt/oAQb/48kYhbDU74VxdqpK9oEEgp2XnmCqPCWvK4meH1dnckMT2X/0WdJzUr36LNjEHa6qz5uqumsJ9Pt50hVh9d7ziTzMJNxzh0MQ2A3XpCjaeGtsXJ3pZxPYrWqRdcZ0rMPq09mXV7CL6NnU0Gv5CInedp7V3+yJNRp5NNBr9vsBc+jbQR7OJxXdj3/O0Vzh7l4mDHgblDqiU2Tk3x2t2dAYhJyDDJMnIKaObuyHv/7MprYzvTzb9xbalXZSijr6jXbDhwiRkR+5j99QES03NLTBw62NlyIiGDbTGJFvKQ5m48HK4lwziox0wHiL6Qyssbjphiy5xOzDSVDTSbPC10xzx6WxuTzDyIWGWInHozjw5qY3LrAPz9zG2m88IgZkfj0kybpUrjfX2pJcDg9s1N5452tjRxrZxPXghhdblpXSE1W5sbmfTZTpMsI68ANyc73J3sGdejVb1YiVf3f6soFKWw93yKKbVeIcM7+VhcF/rDjVLbEdrNvwnzNx7lzs4tcbK3pW+wlymb0pFLaazapaWK2HAgDg/ng/x+TAsue3rBCIxS8vBXe7nXbJNRK08Xvpve1zQpWtW0bOzM+/d24+Gv9pJXYMTORlBglJxOysTLykTj+1tO4uXqwB8nEhnRyYf37+1e5TrVVeysBEXcffZKmXsO6iLK6FcSIQRPPPEEb775JgBvvPEGGRkZhIeHM2fOHLZv326qW1BQgK+vL9HR0cyZM4c//vgDDw8PsrOz6dOnD6+++iq+vkX5ZNauXctdd93F0aNHadeuXYl7K8rmjxOJHIxN5Q19vfm08CDir+ZwR6cWJXaDephN1LVp7s79/QJp5uHIHZ20BKBSJMwAACAASURBVNtujnb8dTKZkOc2Wfh6AVMWp7u6+WJjI7BBsGxSjxL6hLWqXpdAZzM/+piuvqzZE8uDX+xm3fS+FslGDEbJaz8eN10Xn6Rs6Fibf66pHdA1Sd39LVbLODo68u2335KUlGQhHzBgALGxsZw9e9Yk++WXX+jYsSMtWmiG5PXXX2f//v0cP36crl27cuutt5KXV7TmNyIign79+hEZGVkjz1KfkFJy32c7TQb/5tZezLo9hCXjwxjcoXmJ+k8OaWs6HxjSFFsbwagwX5NPO1dfyWFu8O/tbZnY56mhbalJVj90MwBddf+yl2vRiH5EZ+07djU7n++iL1q0K+7yKS0cQkPFPErWuuiLPLFKW3J9V7f6leBPGf1KYmdnx9SpU1myZImF3MbGhnvuuYdVq1aZZJGRkUycOLFEH0IIHn/8cXx8fNi0SYsynZGRwV9//cWnn36qjH4lWL+/KC/PjEFtiJjap8xJyY6+RaPkrq1KbhRKTC850ntldEdeuLMDc4a3Y1C7ZjVuPHsFehL17CA+u0/LE+vsYMuS8V2YFh5E/+CmTL4lAABRLFndoUva3EQ7H3c+m9zDIoG3AsxjIz4WGc23+7SXZmn7FOoqdd69E79gAblHqza0smP7dvg8++w1602fPp3OnTsze/ZsC/nEiROZOnUqTz/9NLm5uWzcuLHEy8Gcbt26cezYMUaNGsV3333HsGHDCAkJwdPTk71799Kt242Za7O2yc4zcO5KJot/PsHl9FxSsvI4p+8q/XXWQIIquKnKWvyV4tmhhoY2RwjB/XpI3YdqyXA2L7ZefEzXolVCc0eG8s2eWJIzi3Tfez6F+z/fDcDah/vi7FC//NTVibtTnTeTFtSvp6lhPDw8mDRpEkuXLsXZuSj2Sc+ePcnIyOD48eMcPXqUPn360KRJ6dvNzXdXRkREMHPmTAAmTJhARESEMvrFkFLyWGS0xajenDX/ubnCBt+lFCP4yuhOLPrxGCcvZ+Bkb8NH/yrps78RCW7uxrH4dNP1T3rij8Yu9srgVxCPhmb0hRCtgBWAD2AElkkp3xZCzAX+DRSudXtWSrlRbzMHeAAwADOklD/p8u4UZc7aCDwmrzPgfHlG5NXJzJkz6datG1OmTLGQT5gwgcjISI4ePWrVtWPOvn37GDRoEMnJyfz2228cOnQIIQQGgwEhBK+99lq9WCp2vcQkpPPQ//ZYLJMEiJzah20xSbz7+0m+mXYL3W+qWDyXnc8NwtHWuiG8vUNzbu/QnKvZ+dSlP0GHFh58FXXetLHs0MWrtGnmxpr/3FzbqtU53J3q14R3eV5hBcAsKeVeIYQ7sEcIsVkvWyKlfMO8shCiAzABCEXLkfuLECJET5n4ATAV2IFm9IdRR1MmFuLp6cm4ceP49NNPuf/++03yiRMnMmrUKK5evcqnn35qta2UknfeeYe4uDiGDRvG8uXLmTRpEh999JGpzsCBA9m2bRv9+/ev9me5kTEYJfM2HDEZ/FdGd6RFIyfa+rjj18SFPq29mDm4TYU3FUH5JjTr2kqXQH3Vzq4zKXi7O/L3qWT+MzCozsfFqU5KG33WN/fONf+HSCnjpJR79fN04ChQ1nT2KCBSSpkrpTwDnAR6CSFaAB5Syu366H4FMPq6n+AGYNasWSVW8XTo0AEXFxduu+02XF0td0o+9dRTdOnShZCQEHbt2sXvv/+Og4MDERERjBkzxqLu3XffzcqVK6v9GW5UzidnsXDTMUa+u42tMUk8N6I9J+cP5//63MSg9s0tklhUxuDXVwojYyZn5vLE6mikhLHdS2axUhRRmtOhIY70TQghAtDy5UYBfYFHhBCTgN1ovwZS0F4IO8yaxeqyfP28uLxOkpFRtFW7efPmZGWVDEu7f//+ErLPP/+81D63bNlSQjZjxoxK6VcXMBolEsjMKyA9p6BETPi/Tybxz0+iTNe9Aj3594Dqj3tfH/DUl3G+9P0RUwhg93oQN6Y2cHWsX3Mg5f4WCCHcgG+AmVLKNCHEB8DLaL+KXgbeBO4HrHk+ZRlya/eaiuYGwt/f31oVRR0m32BkzrcH+XpPrIW8d6AnL40Kxc7GhuFv/0m+Qft6fD6lJ/FXc2o1s1Jdo5GzPUJgEfPdSU3glklpgeo865lLrFxGXwhhj2bwv5JSfgsgpUwwK/8Y2KBfxgKtzJr7AZd0uZ8VeQmklMuAZQA9evRQmcXrIDn5BoxSkptv5L/rDtHZtxGDOzQnyNuNF9YdNhn8pm4OJGVohinqzBWGvbXVop9HbwsmvG2zGte/rmNrI2jsbE+KWRC5svLAKiiReCbAy4XptwbXO7dheVbvCOBT4KiUcrGZvIWUMk6/HAMUpopfD6wUQixGm8htA+yUUhqEEOlCiD5o7qFJwDtV9yiKG4lJn+00JdUA+OFAHK9uKtpP0dmvEV892Bt3J3sKDEaCn7Oczx/Urhlju/sxNNQyVo6i/Hi6OpCSlY+djaBNc/c6HQytNnhyaFvu7NyyttWocsoz0u8L/As4KIQoTAX1LDBRCBGG5qI5CzwEIKU8LIRYDRxBW/kzXV+5AzCNoiWbm6jjK3cUGnkFRk5eztDTzAke+GKXRcwSdyc70ouFAn5mWDvTBJmdrQ2RU/vwvx3n2HAgjrn/6MB9twSoZarXiaerA6cSM3mgXyBzRrSvbXXqHPX1JXlNoy+l3IZ1f/zGMtrMB+Zbke8GOlZEQUXtMPvr/fx0OIHtc25j08F4/tGlpSmvaSGpWXm8sO6w1U1SfYO9WHhXZ1p5aqtrMnIL2Hggjp1nrzCyS0tuKeaf79Paiz6tvXj3n9X3TA0Nb3dtMlct06wcdnU8A1hpqOl8hQVGo+Tzv8+yerfmc+/wwk8AvLflJHOGtyclK4+hHXxo5GLP2n0XTQa/uYejaXT/5JAQHjGLIw9atMpxPVsxrmcrFDWDpx4X3962fhqv6uCpoW15/SctEmldT/tYGsroVxJbW1s6deqElBJbW1veffddbrnlFlP5kiVLmDNnDgkJCTRqpAVs2rJlC6NGjSIwMBCj0UizZs1YuXIlzZoVTVSOGjWKy5cvW4RmrinyDUbGfbSdfedTS5SdTszk3yu02C2zsUwreHrBCGxsBP/6NIqtMUmM76lWXN0IFG46K0z5p7g2028NNhl9a/H16wP186lqAGdnZ6Kjo9m/fz+vvvoqc+bMsSiPiIigZ8+erF271kLev39/oqOjOXDgAD179uS9994zlaWmprJ3715SU1M5c+YMNc3vxy6z73wqQ0Obc+iloZxaMIKDc4fw3fS+pjo9AyxDHDxya7ApUNmb93Rh5b97m9wKitplSt8A7unux7/Mkrooyo9dPf2FpEb6VUBaWppFQLVTp06RkZHB66+/zoIFC5g8eXKJNlJK0tPTCQ4ONsm++eYb/vGPf9C8eXMiIyNLvEiqg3yDESnBKCVz1x+mlacz70zsZvLfuzvZE9aqMUfmDSUpPQ9/LxeOxqXx4vrDjO/RyiLWeDMPJ5p5qBjtNwruTva8fk+X2lajzqJ8+jcoW1efIOlCxrUrVoCmrdzoPy6kzDrZ2dmEhYWRk5NDXFwcv/32m6ksIiKCiRMn0r9/f44fP87ly5dNLpytW7cSFhZGcnIyrq6uLFiwwKLdiy++SPPmzRk7dmy1GX2jUZpG50+u2c+66KKJ2A/u7VZiwha0xNf+XtrXpX0LD1MiD4WivqJ8+goLCt07ANu3b2fSpEmm6JiRkZGsXbsWGxsb7rrrLtasWcP06dMBzb2zYYO2j23RokXMnj2bDz/8kISEBE6ePEm/fv0QQmBnZ8ehQ4fo2PH6FjulZOZxz0fbKTAYcbK3ZUSnFizefMJq3Ts6tbCaXUqhaEjY2wryDbLe+vTrvNG/1oi8Jrj55ptJSkoiMTGR+Ph4YmJiuP322wHIy8ujdevWJqNvzsiRI7n77rsBWLVqFSkpKQQGask50tLSiIyM5JVXXrku3SZ+vIOTl4t+CZnHWC/khTs70O2mJtWey1WhqAu08nQpEb67PlHnjf6NwLFjxzAYDHh5ebFkyRLmzp1r4ZoJDAzk3LlzJdpt27aNoCAt81JERAQ//vgjN9+suU3OnDnD7bfffl1G/3JajsnIP3JrMI2c7Zm/8Sj/6NKSdyZ2xWCUSCnr3TZzheJ6GBjirYy+oiSFPn3QJmW/+OILbG1tiYyMNOW7LWTMmDFERkbSu3dvk09fSkmjRo345JNPOHv2LOfPn6dPnz6mNoGBgXh4eBAVFUXv3r0rpNvx+HQeWbkXJz3WyvIpPblVj1/T1b8xXfQRveazrJ9+S4Wisjw3oj3hbZvRya9+5cYtRBn9SmIwWF/7bG2p5eLFppBFXL161Wq7C7GxpGTlk5qVR2aeAS9XB7Zu30lugYGr2fk0crZHSnnN0AS/HUsw5UIFzT/Zzb9oZVGPAM8y2ysUDR07WxsGFgu+Vp9QRr8WuZKZS2xKttWypIxci6Tc7XzcTa4adyd7PJzsSmRz+vlwPFO/3APAsn91Z+2+i0y+JaDOZX1SKBTVhzL6tURadr5Vg+/b2BlHOxvScgpIycrDRgjyDUaLCdj0nHzSc/LJyC3gSmYeL31/mOfv6GAy+P/s7c+QUB+GqAiVCoWiGMro1wD5BqNFxD6jlMSn5QDamnd7Wxuy8wqwEQJH3Q/v5mRPy8bOxF/N5nJ6rtV+r2bnk5VnYPlfsRy+lAbA/DEdube32oGpUCisU++Nfm6+ASHAwa56EkjkFRgxGCVO9jYW/nYpJTn5Bi5cySanwMBNni5k5RvIL9Dq5uQb8PFwMr0MnB2s/ykauziYjH6bZm6melcy80hMz8HFwZZWns6m2PV9WntVy3MqFIr6Qb01+qlZeVzJzCMjV4vj3ra5u2kUbTAasRHiuuO1Z+TkczpJW9plIwStvV3JLTDSyNmexPRcEvTRPECymS7oXh03p2t//E72tnT2K7l+3tPVAU9XB4wpDqx+6GZuflXbERzo5VqirkKhUBRSL42+lJK4qznkG4wm2fGEdBzsbPB0cSA+LQdPVwf8mrhUqu9DF9OQSITZckejlKZNUBcoSk3n18SZ3AIjicVcNK6OdriUMrqvKC0aOXNHpxZ4uzuawisoFAqFNcqTLrEVsALwAYzAMinl20IIT2AVEICWOWuclDJFbzMHeAAwADOklD/p8u4UZc7aCDwmpazyHLhCCIKbuWE0Sk4kpJuyr+cVGE2+9CuZeRUy+vkGIxeuZJFbYEQi6XqTF23adQCjkY6h7Xnq1aU4O7sUydHWwf/w/XpOnznDqFGj8W3lb9LvnbcWEzR4cJU983v3dquyvhQKRf2lPFsxC4BZUsr2QB9guhCiA/AM8KuUsg3wq36NXjYBCAWGAe8LIQod6h8AU9Hy5rbRy6sFe1sbHO1tCW5mPcM9QIHZL4GyKDAaOZecRUZugenXg6OTM6t/2sru6P04Ojry57oIGrs44KTLV/+0lR279hAQEICNEAwc0J8tf+9i9U9b+eH3vxlchQZfoVAoyss1jb6UMk5KuVc/TweOAr7AKOALvdoXwGj9fBQQKaXMlVKeAU4CvYQQLQAPKeV2fXS/wqxNteHsYEv7Fh4Wspt0v3ehP74sCoxGziZlkaWvrvFt7EyQtxs2Ajq09MDN0Y7+/ftz5vQp/D1dEAJCW3rQoYWHKQdsIS4O2rsvr5wvG4VCoahqKuRUFkIEAF2BKKC5lDIOtBeDEKIw/ZMvsMOsWawuy9fPi8ut3Wcq2i8C/P3LzsL0++fLuHzudNmKS83QFhgldjaCo3Y2ZOqTqvscS34EzW5qza2TpyKl5HRiJjn52u7bNs3cTJPBoGXWKSgoYNOmTQwbpv1oyc7Opns3zdUSGBhoSqKydetWBtzck5x8A7Y2gvXfrTXF3VEoFIqaotxGXwjhBnwDzJRSppWx8sVagSxDXlIo5TJgGUCPHj2u3+cvwMHOBvP00Pa2NuQbyu46t8BoMviOdjYWBt889k7//v154IEHAMuQy+YUhlQuMBixsRHYXOfKIYVCoagM5TL6Qgh7NIP/lZTyW12cIIRooY/yWwCXdXksYJ792g+4pMv9rMivi1snT61Uu8vpOcRfzaGdjwcOdjYUGIzkFhhxcbBFCEF2noGYy9ou2FZNXGjkYumqKc24XwsV0VKhUNQm17RAQhvSfwoclVIuNitaD9ynn98HrDOTTxBCOAohAtEmbHfqrqB0IUQfvc9JZm1qHHs9QcKx+DSklMSmZHMqMYO0nALyCooMPmjzAmpkrlAo6gPlGen3Bf4FHBRCFA5tnwUWAquFEA8A54F7AKSUh4UQq4EjaCt/pkspC0NSTqNoyeYm/agVHO2L3ndnkjJNG6fOJWfSxKXIEdTExQFHK+kDK0phSOVC/vvf/zJ27Njr7lehUCgqwjWNvpRyG6UHXR9USpv5wHwr8t3A9eX/qyJcHOwQaJMKpp2yxSiMi2ONjAzreXmtycPDw0sNqaxQKBQ1SYN2MAc3c7MqT8nKw9PFoVSDr1AoFHWVBm3VnB3s8PfUduU2cXGgbfOijVxNXB1Ka6ZQKBR1lnoZe6ciNHZxwNnBFsdiUTgdqsCPr1AoFDcaDd7oAxYGv00zN65k5WOnApcpFIp6iDL6xXB2sMO3iqJfKhQKxY2G8mEoFApFA0IZ/UoihGDWrFmm6zfeeIO5c+cCMHfuXHx9fQkLCyMsLIxnnnkG0JZu7t6926Kfb7/9lkGDila+btu2jbCwMAoKrC8jVSgUiutBGf1K4ujoyLfffktSUpLV8scff5zo6Giio6NZuHBhqf3cddddODk5sXLlSgoKCnj44Yd5//33sbNTLiaFQlH1KMtSSezs7Jg6dSpLlixh/vwS+9AqxDvvvMPgwYM5fPgwPXv25JZbbqkiLRUKhcKSOm/0U78/Rd6la8fFrwgOLV1p/I9rhz2ePn06nTt3Zvbs2SXKlixZwv/+9z8AFi1axNChQ0vtp3Xr1owfP553332XU6dOVV5xhUKhuAZ13ujXJh4eHkyaNImlS5fi7OxsUfb444/z5JNPlqsfo9HIL7/8gpubG+fOnaNp06bVoa5CoVDUfaNfnhF5dTJz5ky6devGlClTKt3He++9R8eOHXn55ZeZPn0627dvp4x8BQqFQlFp1ETudeLp6cm4ceP49NNPK9U+Pj6exYsX89prrzFs2DB8fX355JNPqlhLhUKh0KjzI/0bgVmzZvHuu++Wq+4dd9yBvb2WkOXmm2/G3t6e2bNn4+3tDcBbb71F//79ufvuu/H09Kw2nRUKRcNEGf1KYh5CuXnz5mRlZZmuC9frF2fLli3X7LdVq1acPXv2OrVTKBQK6yj3jkKhUDQgypMu8TMhxGUhxCEz2VwhxEUhRLR+jDArmyOEOCmEOC6EGGom7y6EOKiXLRVqplKhUChqnPKM9D8HhlmRL5FShunHRgAhRAdgAhCqt3lfCFEYwvIDYCpaztw2pfSpUCgUimrkmkZfSvkncKWc/Y0CIqWUuVLKM8BJoJcQogXgIaXcLqWUwApgdGWVVigUCkXluB6f/iNCiAO6+6eJLvMFLpjVidVlvvp5cblVhBBThRC7hRC7ExMTr0NFhUKhUJhTWaP/ARAEhAFxwJu63JqfXpYht4qUcpmUsoeUskfhUkaFQqFQXD+VMvpSygQppUFKaQQ+BnrpRbFAK7OqfsAlXe5nRV5niY+PZ8KECQQFBdGhQwdGjBjBiRMncHZ2JiwsjA4dOjBp0iTy8/MBbbmmEMJiE9e+ffsQQvDGG2/U1mMoFIoGRqWMvu6jL2QMULiyZz0wQQjhKIQIRJuw3SmljAPShRB99FU7k4B116F3rSKlZMyYMYSHh3Pq1CmOHDnCggULSEhIICgoiOjoaA4ePEhsbCyrV682tevUqROrVq0yXUdGRtKlS5faeASFQtFAuebmLCFEBBAONBVCxAIvAuFCiDA0F81Z4CEAKeVhIcRq4AhQAEyXUhr0rqahrQRyBjbpR53k999/x97env/85z8mWVhYmMWmKltbW3r16sXFixdNMn9/f9LS0khISKBZs2b8+OOPjBgxAoVCoagprmn0pZQTrYhLDTQjpZwPlAgwL6XcDXSskHblYNOmTcTHx1dpnz4+PgwfPrzU8kOHDtG9e/cy+8jJySEqKoq3337bQj527FjWrFlD165d6datG46OjlWis0KhUJQHtSO3ijl16hRhYWF4eXnh7+9P586dLcrHjRvHmjVriIiIYOJEa+9ThUKhqD7qfOydskbk1UVoaChff/211bJCn35cXBzh4eGsX7+ekSNHmsp9fHywt7dn8+bNvP322/z99981pbZCoVCokX5luO2228jNzeXjjz82yXbt2sW5c+dM1y1atGDhwoW8+uqrJdrPmzePRYsWYWtrW6JMoVAoqhNl9CuBEIK1a9eyefNmgoKCCA0NZe7cubRs2dKi3ujRo8nKymLr1q0W8ltuuYXRo9WGZIVCUfMILSrCjUuPHj3k7t27LWRHjx6lffv2taTRjYX6LBQKhTWEEHuklD2Ky9VIX6FQKBoQyugrFApFA0IZfYVCoWhAKKOvUCgUDQhl9BUKhaIBoYy+QqFQNCCU0b8O1q5dixCCY8eOAXD27FmEEDz//POmOklJSdjb2/PII48wf/58wsLCCAsLw9bW1nS+dOnS2noEhULRwFBG/zqIiIigX79+REZGmmStW7dmw4YNpus1a9YQGhoKwHPPPUd0dDTR0dE4OzubzmfMmFHjuisUioaJMvqVJCMjg7/++otPP/3Uwug7OzvTvn17CjeUrVq1inHjxtWWmgqFQmFBnQ+4duLEy6RnHK3SPt3d2hMS8nyZdb777juGDRtGSEgInp6e7N27F09PTwAmTJhAZGQkPj4+2Nra0rJlSy5dqtOJwhQKRT1BjfQrSUREBBMmTAA0Ix8REWEqGzZsGJs3byYiIoLx48fXlooKhUJRgvJkzvoMuBO4LKXsqMs8gVVAAFrmrHFSyhS9bA7wAGAAZkgpf9Ll3SnKnLUReExWQeCfa43Iq4Pk5GR+++03Dh06hBACg8GAEIKHH34YAAcHB7p3786bb77J4cOH+f7772tcR4VCobBGeUb6nwPDismeAX6VUrYBftWvEUJ0ACYAoXqb94UQhfGDPwCmouXNbWOlzzrD119/zaRJkzh37hxnz57lwoULBAYGEhsba6oza9YsFi1ahJeXVy1qqlAoFJZc0+hLKf8ErhQTjwK+0M+/AEabySOllLlSyjPASaCXnkjdQ0q5XR/drzBrU+eIiIhgzJgxFrK7776bBQsWmK5DQ0O57777alo1hUKhKJPKTuQ2l1LGAUgp44QQzXS5L7DDrF6sLsvXz4vLrSKEmIr2qwB/f/9Kqlh9bNmypYRsxowZpS69nDx5MpMnT7aQZWRkVINmCoVCUTZVPZErrMhkGXKrSCmXSSl7SCl7eHt7V5lyCoVC0dCprNFP0F026P9e1uWxQCuzen7AJV3uZ0WuUCgUihqkskZ/PVDosL4PWGcmnyCEcBRCBKJN2O7UXUHpQog+QggBTDJro1AoFIoaojxLNiOAcKCpECIWeBFYCKwWQjwAnAfuAZBSHhZCrAaOAAXAdCmlQe9qGkVLNjfph0KhUChqkGsafSnlxFKKBpVSfz4w34p8N9CxQtopFAqFokpRO3IVCoWiAVHnY+/UFra2tnTq1Ml0/d1333H27FlGjRpFYGAgRqORZs2asXLlSpo1a1ZGTwqFQlFzqJF+JTEPjRwdHU1AQAAA/fv3Jzo6mgMHDtCzZ0/ee++92lVUoVAozFBGv5qQUpKenk6TJk1qWxWFQqEwUefdO8/HxHIoI7tK++zo5szLbfzKrJOdnU1YWBgAgYGBrF27FoCtW7cSFhZGcnIyrq6uFqEZFAqForap80a/tih07xSnf//+psxZixYtYvbs2Xz44Yc1rZ5CoVBYpc4b/WuNyGuTkSNHcvfdd9e2GgqFQmFC+fSrkW3bthEUFFTbaigUCoWJOj/Sv9Eo9OlLKWnUqBGffPJJbaukUCgUJpTRryTWQiOHh4dz9erVWtBGoVAoyody7ygUCkUDQhl9hUKhaEAoo69QKBQNCGX0FQ2SzPxM8g35ta2GogFTYCwgJSeFmb/PZMKGCTX2fVQTuYoGx7Erx5j4w0QKjAUs6r+IEa1HlKhz+upp7IU9rTxaWelBUR/IzM/EwdYBexv7ar3PjrgdLN69mG7Nu2EwGog8Hmm13umrp2nr2RbQXggSWS26KaOvaFDkGfJ4NepVCowFADy99Wn8Pfzp2FRL9bD6+GocbB14e+/bJGUnIRC8NvA1hgUMK/c9jNKIQKAliVPciKw+vpqXd7wMwL87/ZsZ3WZcV38JmQlExUfRtklbErISaO/ZHiEEXx39ik8Oasu2j145atEmwCMAP3c/mh9P4Ru3wzz75xx6texN12Zd+ensT/wR+wc/jPmB5q7Nr0u34lyX0RdCnAXSAQNQIKXsIYTwBFYBAcBZYJyUMkWvPwd4QK8/Q0r50/XcvzYRQvB///d/fPnllwAUFBTQokULevfuzYYNG0hISOCBBx7gwoUL5OfnExAQwMaNGzl79izt27enbdu2pr7GjBljit1z8OBBU8jm+++/nxkzru/LqLDkvej32Ht5Lw+HPUygRyBP/fkUC6IW8HDYw7wf/T4Hkw5a1JdInvrjKbbFbmNgq4EEegTSunFrbITmGTUYDaw5sYajV45yOvU0A1sN5O29bwMwLGAYrw98vcafUVGShMwEdiXsIiEzgUsZl1h9YrWp7OODHzOtyzTsbSs+qpZS8vO5n3nyjyfLrNfPtx8dm3YkJSeFrs26ckfrOwDIiIoj6cJx1rWbyYmrMZy4GsP/jv4PgFZZznhm2YBrhdUqk6oY6d8qpUwyu34GR2OO5AAAIABJREFU+FVKuVAI8Yx+/bQQogMwAQgFWgK/CCFCzNIp1ilcXV05dOgQ2dnZODs7s3nzZnx9fU3lL7zwArfffjuPPfYYAAcOHDCVBQUFlYjb8+KLLwLg5uZmNaaPomIkZSex7/I+MvMz8XTyxGA0cOzKMT479BktXVsyrcs0AFYdX8XuhN1M+2WaRfvARoEsu30Zo9eNJjM/k3Wn1rHuVFFa55auLfFx9WHv5b0W7aITi/52P579kaNXjjKz20wG3zTYJDdKI1n5Wbg5uFXHoyuKcSDxAPduvLeE/K+Jf7EvYR+P/PYIO+J20N+v/zX7Mv8VdyjpEFFxUby1961S63vlN2ZkSjj/dBiHz+BOJcpT157EDltWnljIfe2eJ1vmAOBcYMfrJ2dh4+xegSctH9Xh3hmFllMX4AtgC/C0Lo+UUuYCZ4QQJ4FewPZq0KFGGD58OD/88ANjx44lIiKCiRMnsnXrVgDi4uIYMmSIqW7nzp1rS80GxxeHv+DN3W8ikSXKWri2YNGARabrl255iTvWaqOuRf0XMTxwOInZiXg7eyOEYGH/hTz626MWffi6+XIx4yKXMi8B0M6zHU90f4LQpqG8sesNOnt3pmPTjry26zUSsxJ5fMvjjG87nis5V9h8brOpn9tvup15t8xTxr8SSCmRSFJyUnBzcONI8hFc7V354vAXpOWm4eHoQYGxgJ3xO0nK1sak4X7hJGQlkJKbwqv9XsXDwYOePj0BmB81n+WNl9PCrUWp98wuyKbXV724u83d2NnYser4KlPZR4M/It+Yz+6E3czsNpMTKSeQSBotTUXmGihITiWnZwoFV3JI/fYknhPaknM0CmgMgLvRla93Pk1O9P/IvhqD7DiURoEtsHF1rPLPTkhZ8j9GuRsLcQZIASTwkZRy2f+z995xelZl/v/7nLs8/ZleMsmkkg5pBEIJHUUQQUQW5fulrX5RF11xBctr3f2yrLs23OX7Wv3p4qprxYaIqxJEWoAIkpiEBJKQNiUzmV6efrdzfn/cz0wymUkhBiyZz+v1zDPPfcp9zl2uc53PdZ3rCCGGtNaVB+UZ1FpXCSG+BDyvtf5u+fjXgUe01j+ZoN7bgNsApk+ffnpra+uY9G3btrFw4UIA/ul/XuaVzsxx92EiLGpK83/ftviIeZLJJOvWreOee+7hu9/9LmeddRb33Xcf9957L7/4xS949NFHuf7661m+fDmXXnopt956K01NTePonXPPPXfMRivJZHLC1b6Hw8HX4mSAF3h8+5Vv4yuf02pPwzZsWjOtXDz9YnYN7eLXLb/mBzt+wJTEFC6YdgFFv8hZTWcx7AxT8ApcN+86KqOVY+p8fv/zVNgVLKw5/HXUWo/h6F/ufxmJpOAXOL3h9MOWK/pF3vPoe0Zpo9pY7agQGsE1p1zD8vrlPNvxLOs61/HuBe/m7KazeWbfMzy17ylmpGdw3bzrWNmwkrgVP57LdsLQMtzC3z75t+wd3ssXLvjCUW0d3flunt//PNsHtlPwC8xKzyLjZnjH3HcwLXV8wRKdwOH239zOC10vHDFfwkqQ9/KsqF/Bx874GItrJ36nT/vWAQ18y81bxqV7ymNTzyb++tG/HpfWlGjiR2/7ERWRijHHVcGj857nAZBJC5U7gmeO7qL44s+Infn+MYft6Snq/2bZ4csdBUKIDVrrlYce/0M1/XO11p1CiHrgMSHE9iO1YYJjE444Wuv7gfsBVq5cefyj0uuMJUuW0NLSwgMPPMAVV4z1ALnsssvYs2cPa9as4ZFHHmH58uVs3boVmJjemcTRsWNgB5989pPsHNw5Lu3u3949+v8plafwX2/+L2piNcdU71lTzjpqnkONsotrjqwUjCBmxvjeFd/jyfYnsQ2b1VNXA6FB+YzvnYHSiod2PcRDux4aLfO1LV/ja1u+Nvp77/Benmp/ipgZ45F3PHLM/TqRKPpFPvLkR3iu87nRY3c9fRdDpSHeteBd4/J/edOX+ermw4cUf3XwVb50yZdeUxuGSkPcufZOXtgfCvtVU1ahtSZpJTmj8Qzas+2smrKKs6acRdSMHrMx/awpZ/H8/lBAr2lZw1tmvoVABewa2sWuoV184plPjMk/MpgArLn6VwjLGE3TWtP39a04u4YAkCmLxo+uZOCB7ZR2DGLWxojMTZL/be9ICRo+cgUD32nD7SoirNhoXdXXH7D7nUj8QUJfa91Z/u4RQjxESNd0CyGmaK33CyGmAD3l7PuAg/3fpgGdf8j5gaNq5K83rrrqKu68806eeuop+vv7x6RVV1dzww03cMMNN3DllVeydu1aTj/98FrhyYCsm+WHO37I6Q2nc1rtaTiBQ9yME+gAU078OLZl2rh3/b082f4kAOdOPZcPLP0A2/u3M+AMEDfjbO3bSlW0ilsX33rEKfofA0IILp5+8ZhjtmGz9vq1xMwYm3o20ZZtI1AB5087n5f7X6Yj18He4b2857T38ETbE6zvXs9T7U+xtW8rFzRfcNhz9RX7sA2btJ0+5vYNlAZYs3cNu4d2Uxuv5aZFN/Foy6PMqpjF9NR0/vn5f+bxtsdH879/6ft5y8y38N5fv5d/eeFf+OGOH/Le097L+dPO574N9/Fc53N05DqAcHC8bt51LKhewPaB7UgheXrf0zze9jhf2fyVUdvKCPqL/Xxx/Rdpzbayd2gvc6vm8sULv8hXN391lE6xpMXd59zNVXOuOuY+Hgm3L7udjT0bcQKHu56+i8tmXMay74zXsJell/Afl3+ZpBNj+c9CBXr/516k8c6VyKiJP1Ai/7v9owIfoOFDK5BRk9pbT0UHmtIrW2m5/jrsBW9DqN3M/lnYp/o7/44gk8FtcVE5l8icSsya2Lg2nAgcN70jhEgAUmudLf//GHAPcAnQf5Aht1pr/TEhxGLg+4QDQxPwODD3aIbclStX6vXr14859qdAaYzQMPv27ePBBx/kwx/+ME899dQovfPEE09w1llnEY/HyWaznHnmmXz729+mrq6OK6+8clTrP1y9x4o/hWsxEbryXWzp28LOwZ38bNfPGCwNUgpKRy23on4Fl864lJ5CDxWRCu5/6X6Kfrgz2uyK2XzmvM+wqGbR6938EwKtNc7OISKz0mBK8r/dj0zZxE+rfc11deW7eNNP3gTAw1c/zKyKWWzu3cwPdvyADyz9AFOTU7n5kZt5qe8lLp91OZ8///MT1vPTnT+lKdnErPQs1nWu4+e7f8767rHvV8yMjV7zEQgEFzRfwGdWf2bUBtGeaeeKh8avcZiWnIavfb566VeZUzk+tPih5Wxpc9cZd/HDHT9k19AuAKSQJKwEWTc7puxNi27izpV3nnB32Kyb5ZwHzgHg2Xc9y+ofrB6TPrs0jX9vuQtbhx4+w0YOqSUpNZ5us6enkEmbyIwU6N14nZ34vb2o4QyD3//+aL6mz3+OiqtOzMA1EV4PeqcBeKh88U3g+1rrNUKIF4EfCSHeA7QB1wForV8WQvwIeAXwgdv/XD13Dsa0adNGPXQOxoYNG/jgBz+IaZoopXjve9/LGWecQUtLyxvexoybYX3XeuZWzj3qYqOB0gApO8WOgR0YwmBhzcJxfPbBCFSAFBIhBIEK2NizkS+s/wLbB7ajtBqX/7yp5zEtNY3eQi85L8fL/S9TE62hJdNCXayO3/f8fpxHzPuWvI8zG89kSd0Somb0+C/EG4zCi90M/jSkoqwpCbz9ISUg//pUovNe297J9fH60f+vfvhq7lhxx6jXyC/3/HJM3sdaH6On0DNaZqg0RGu2le+88h0ebZnYS/pDyz/ErYtv5duvfJsn2p5gRcMK/vvl/wbg3gvu5bKZl40r05xuZsvNW3ACh5/v/jn3/PYezm06l6++6cg7xTWnm/n8+Z/nY2s/BoCrXP7lhX8ZTf/0uZ/mwuYLSdtprv/F9aP+7evevY6UfeK9WYAx9V724Ni+PlL5Pfjt2Oi5zRcvJr60juFft1B8aayNJv3mmURPqUT7PttPfTOHYsZ3v4NRUYF9yiknsAfHjj/IkPtG4E9V0z/R0FpTCkpEjeiosCz6RYQQRIwIpjTxAg9TmmME8MHXYqg0REumhZgZQ2lFT6GHT7/wabryXaP5mxJNOIHDOU3nkLASrO9eT02shjMbz+TJtifZ2j92BnJqzam0Zdu4qPkiIkYk9H4oDZKyU6P8bkO8gTmVc1jXuW603OWzLufaudeyoHrBOCPX4TDCo/rKJ27F6ch1cE7TOaM+8X9OcFqG6f3qSxOmGTVRptx1xoRp2lcI80B/VdFn4Ec7sJqSxC9qYsX3VozJ/+EVH+YbW75BOpLmwuYLWVa3jLvW3gXAjPQMzmk6hwe2PzCmzI2LbqQ108oNC27ANmxmpmdSF68bk0eVfDp3tpCYW0NV9MAAVdwxQGn7AH5fkei8alLnHXBT7in0UBurHb1f2lO47VkKL/Ui4yap1VOR8QO+8CW/xI9f/TFRM8q2/m3cuOhG6uP1JKyxjunt2XaqIlUn1MtJe4rhx1opvtyHVRfH6ynw66bnuTe4fzTPmxov4X9Z19Dwa0nklEpqblzIwA92kL5kOva0cJDQSuPsHcaqj6Pyw4iYTf7ZZxn4728hDINi2XYnYjGs+nqqb7mZqne/+4T140g4nKb/Fyv0h51h9uf2Y0gDgWB6ejq2YZ/QtvnKp7vQTc4N6ZiknUQiSdkp8l6egl/AkhaGNKiL1aG0QmtNxIwQqIBBZ5BABTiBM24aeyTErBgpK4Vt2LTvaufUxafiKY8V31kxYf4V9StYUL2AjT0b2Tu8F8uwKHgFggkmWgkrwTWnXEPRL9KR68AN3DGad9yM05BoYO/wXiCcmi+pW0J/qZ/+Yj+rpqzioys/ytTk1HF1/6VDK43bliH7ZDulHYMApN8yk8yaFhJnTSF9yXSGH22hsL4bgPoPr8CsjCCiBkIIMo+3kXmyDXtaCu0EozODEaQubEaYgg8P/wPrcxt5+OqHmV05e1w71rSs4WNPf2ycy+pDV/6Uqv441XObEELg9RbwuvLk1nYQ5D3saUmMpI3bmcNtOeARJ5MWquhDMF5WJM9pQqYstKeInVqLs2uIyKwK8r/vJv/b/WPymrUx6m47DSN94t0QjwVaaVTeo/hKP0MPlWmkgzxrXOFx9YIDs/a7Om7m4swqAGrfcyrRuWNnZ/7AAJ0f/wTVN98MKqD9tveNO2fj3XdTef1fHZmOyvfDnifhtHceODbYAlt+Aud9FI6TyjqphL7Sij3De3B8Z8zxeVXzyHk58l6eqBmlKlKFIY3D1HIAbuDSV+zDV364ak+HnGPOy1Hyj8xTSyFRWo1+A1RGKhlyDhh7TGkSM2P4yidiRJBSYgoTS1p4yqOn0INt2HiBN+5F7t7bzW9Kv+GF/S/QU+whZsb44LIPUh2r5un2p7lu3nWcOeXMce3SWtOebacp2cSOwR10ZDuYVzWPmRUzJ+zHnuE9SOSY9JJf+rOiW14LtK9ACoQc/8I5rRmsKQmkHT47WmkQ0PufL40Rlslzmqi8aiyn7Q879H5lM8GQg0zbqIyLTNvEl9aRe6ZjwraMDBwHY+o/nzPGa2QirGlZw/de+R6fXv1pmpPN9P3nFtzWDMlzm/B6Cjg7h45YfgRGhU0w7I7+ji2pJbaohuwzHXgdR7Y/iahB450rcfZmGPjeNtJvmkFkTgX2jPTrFqZClXxKO4ewp6cQpmT4f3Zj1MTIPbMP7ZYpR1NQc8NCovOq6PrCi6P9+0rDj/h59VMAfLrtg5yeX0TVX80jvrx+THtVscir565GFwrjzh9dvBi3vZ36j9wxXqvPdsPj90BxEKpnQccGaDtoqdKs82G4AwZ2Q6QCPvAcVB5f/KeTSuhDqIWLspdoT7GHgeLAuDwRM8KM1Awsw8JXPl7gYRkWWmuGnCFMaTJQGjiiYK+L11Efr8dXPkW/SN7LU/JLJO0k1dFqpJD0F/vpLfYSqLGadU2shrpY3TENPCNQWqG0ouSXKPgFdu3YxSdf/STDzjBvP+Xt/MNZ//Ca6pvEeHjdebr/PZzdJM6egpGwiC2pw6qP4+7L0vOlTQjboOamhWTXduC8OjhaNjK3kvRFzURmVx6uegCyT7cz/EgLZk0Uf9gFPxRGDR89ncEHd2LWxoieUklkTiVGyia/oZvBH7964DzzqrCbEuSe66ThI6djVh958C1s6mHgBzvGHTfrY0TnVVNx2Uy00uRf2I+MmcRX1IMQeB05rKYkQc6l8GIXsdNqsRpC+iXIOAw+vBthCIx0hNyzHZi1MYwKG5m0qb5+/uigqQNNx6eeHXXSTqxqJHZaHfbUJDL2h3mOe915nL0Z4svrkRGDwZ/uJP+7rnH5JIOARJGk8f2NmB2/Jtj7O8S0pci5l5B98FGGOs/l49PvY0tiJ99c/FVWrjw31MSfuAfO/hBUz0Irzd6/ug7nlW1EFi3C7+gksmwJ9pzZVL71bcQWlz0KVQCPfBxe/BrULQS/BIN76Xbn8vPB/8uc6G+Z17AHJz6TXMd+FkR+TUSGg0jQdBbdK++jacXx09gnndA/GEorWjOtFLwCKTvF1ORUBp1BuvPhNDsdSZNxjrzAK2bFmJacRqADbGlT8AtorUnZqWPWWLzAozXbSlWkipSdOiF008i1OJKxdRLHjiDr0vOlTQTDY2eJwpLUvX8pPf+xcVyZ6OIatBMQmZkmddF0hHH0+6C1Jsi4mBURClv6GPjBdqr/aj7xpXUT51ea/m+/goyZFDb2jEmLLqym5qZFCCEmfA5U0afri+tROY+a/72Q3LpOZMKi8qo5GKkTR3lqpUHpMTaJg9H9HxsnnBmIqEnFigIR+2Vk93r8Ge9AVS4ktmw+KAVtv0V3bkTv24KsbUZ3b0fLGDrbixrK4AzVoImjdBJFJfnApJCYhp+uINrtUoz0oWJZ8j1d1Jp7mB15gf3eAl4tXkDGr2dW9HcsSfxqtD3DUvLAohv5P5f/A8b/3IHa9it2ls5jRmQ92aCBqCyQkD309zcg5q/khT3LaSkuB+Cspsepn56kuzWPFQyyY2Apvf4pSBGQjBYIlEHeOfICO9OW+K5CSLjls6uJp4/vHp3UQn8iBCqgLdtGwRs/PQNoSjaN0i3pyLH7PL/R+Es0ar9RyG/swW3NUHnVHLzOHLnnOkcFasVbZ5FY2Uh27T6yT7aPKTfCrXvdBRJnNo7jeo8H2lP4g30Mfuc7aNclsfo8ZDJBdPFiuj/zGXIbNtP8lS+j0zUUfrmH4qZwcU+vp4hJQdXcCjJTUmxY00qFKTj7lkWkF9cgbWN0llD3gaVEZoTPslIatEZIgVsKME2JYb1OBnMVwO+/hWrbjN+Tw2ysJJ85g9L2fgz6iBlriRnrxxXTVgLhHbBraG0ihH+gWh1h2F9AmzeTYb+eYb8BU7jscc5+zU2cH32SHaWLODX+COen7h9Do+8preKRoU8cvvAxwIwYSClwiz7zVzWy8oqZ2DGT276+Hs8EJQQXbi0Sq4pQHAwVjkDAzf98NhW1x+evPyn0DwNPeWScDFJIKiOVOIGD1pqY9fosjDjRmBT6xwevK0/3fb+fMC196XRSFzUjjFAIll4dpO8boVdT7a2Lic6vHs2rikWGf/ELEmedhd3cjNfTQ/9/3k+2v8BgzsJyMsz/wqeI1lfTs2uA9u0DRGyIWBqZSjLw0h669w5RdE28zg7ysQaUtDC9PBF3GNdK45sxgglsJ42Ncbq6QqVlhNA7mECcE5Gcc+0p5J7ehyr6VH9sJQ/9+yZUoMgPuwTeWJfaGafW8Ka/XoQ0JR07BjEMSfOiao4FozOM1nWw9xn83c/iDfQQs0uowX38avDjZIIpLEg9R63YSZ35KjGZQesDdsrirI9TcpYQFc+j2zahdRRTdlAKzqSgziPQdQidZSjw0dXVdAYRdnaEg4JpSfxyf+bPzTN9XoJ0paR3X56eXguZbmTZm2bwzA930v5qOKufWfghdV4LL1Z8fExf5kWfZlXye2gMtu1fxQbrlsP2e+UVM0lN3Ujn0MfI7ltBtu0MrFQPw7svYdZ5z+KrXgxTMWXmbIrudnaV9vBF9U/sN2poDBRdhiRZKqAMKJRDbLz5lS4KKsXLMy0ef9MymqKTmv6fhKDr6urijjvu4MUXXyQSiTBz5kzuu+8+PM/jQx/6EPv27UNrzU033cSnPvUphBAThlv+3Oc+x4033ghAW1sbFRUVVFRUUFtby29+85ujtuNP4Vr8uaGnNcOzX3uJgX4XC835aQtLCNyWnzO87TnsaU0k61OUtr6MyoZeVTO+/z1iy5fj9Q3w8i+2Ep8/h+yAg/eTb9Hf7dBbtwzPTmI7wzh2Jf4hMXJk4KKOQOdZXo5kvoP6UxswZJ6OTpuIcDCcAtK2SaYlu3rqCMwDykgkKqlO50lW27TuMkkIWH1xnP3bsqxvCwcsS4DSoATE0jaFYZfmhVWk6+I4eY9dG3qoqI9R15xi14byLKfGZLg/1KgNGWCJIq6Kct7UX7I49Qx7huZT9JP0F+sJjAT789PJBrU0RlsZcOqQBORVTbm8jxQaLzh82OLp0z3OfPtsBtyNxFMJdGEV6uV+zI3dRGeGRt/9wNO/bEEpzcEiy44avPMTK6lqTOC7AdIQBL09ZH75S7BMgqEhijteoa9vLboyILAgIxYQmdKGd1Z4b1t+9Q+UctOP+MzULfkxqeYN2Il+qqrOJplcQHXVuTy2+0F0/vcYBGxjMQly7OEUeqlnLq+y1TkTP+LjYjONdh4Vbx2ts0IP0kwbt+t/ww0svm/eygvi3NH0xc7L/GjVFdRUHd9MclLon0BorTnnnHO4+eabef/7wyBJmzZtIpvNcsstt/CVr3yFN7/5zRQKBa699lquvPJKbr/9dt73vvexaNGiMeGWD46+ecstt3DllVfyzne+c8LzToQ/9rX4Y8L3AnKDDoGn8PfuxqxM4+zv4YUXfXIFQaIygmkbxFIWWsFgR4bhrhyeMpBAlIACExu9LTeLZ6cw/CLJXAepXBudU1YfVnALHVBdaicbayKWspl3/kwaZqbJPP5r2h/bgCtTVDu7qGkoMli/ABlppzpfoqm+m7jehy6WMK08YuJwVAAoLVGeRlgSRyWJyDzGCN1h2BCvgWzoJqmjNfwsfz+dvZJYzKRY9JkyO8lpKy3mLk2DVwTlodIzYd+LyOG9PLymiX37QyPtafFfkQ1qyak6UvYwnaX5OMH42a9AEY+61Ce66Bysw9NRGudEcV0X3wV0nJppcdK1Jisum0Pnq1n27+lnsKeVrt0uTvbwweLt5BCVzR2oQNH3ahgUzU4MUTfbZ/q8OVRPmYphbsbf+zuCXd1UXXoVuXVr6ex/iMISB0yNK21eZBUbWYkkIMBgOi2s5mk6chcxzEJOjf6IhNOPFe9nx4+/Nq4djSu/RcOCdhw3DPwYINlHMztZwDfFbYdtP1pDKSCiNDEpGbIE+JpFvTk+UPUkyUQna3Y08nBr6BZ6z5mfJevN4KG6N3F28AzT8y63XvllTPP4FqRNCv0TiCeeeIK7776btWvXjjn+9a9/naeffppvf/vbo8d2797NhRdeSHt7O1dddRU333wz11577YT1nkxCXylNpq8IWpMbdFBKY0dNVKAp5T1627KoQCNNgRUxqJ+eIttXIrNjALc3y9bWAkrDxHH8QAqFGTGROkCgKTqShPYwDIsGq8Ap1n7ysS525NJ0F0/D9PLMXl6LiFiUOnvQ0RTd3Rqn4I+re75aR0PH4yQjGfKnXkauYSmNiXZMnacwnKUzV2JmaTMJs4cqejEZvx7CEwbWyDoJMwbNZ8L0s6FuHtTOh7r50PY8BE4o0B/5BHqwBRVpxG1tI1bjMbAzzuDOBFYiYNpbTGRQhJo5sD9cEKSaz6U7+iYah36C6tl+YIA4AlwVQ1Y2IS6/m3xNLUWvC08V6N4W4fmf1pCshsSKCIOmYs6cgKnmZlyvjUAN0N//PEoppOETIOmmkUGqaWE2z3MulQyiZJy57OBS9TBJKUBlsf130vH7c0jXxsgWNoNsQ5oO/a+8jcBNgFDY8Ry18zaQmvMAQ7KSTqZiENBLPd00MkANEkWRGMNUsl9Po0AC96DtBitLDkPR8WsE4o7PeQPbWb5vkBkNa+n8bRgPqGH59zGiw1SmruSVXzejBKxbYbN+VoysESoLscBh2U6fvrRFwfGpzgZUdRR5vgJEoBGHPD9RS1DyDi9zLUPgHbQe4rlPXMzUyhPL6f/5b5f4yCega3w41PHQHE5AjEPjaXD5Zw+bvHXr1gkDp7388svjjs+ZM4dcLkcmk+H222/n+uuv50tf+tKYcMtjmxka2I53QcZxQwUwvA/6dkK2E9w8VDTjzbkcHWis8gIitIbCABgmpf5Bsjs2Ump/FSIpYovOx7IC9m3cS6YnRz4v0MrHM2sZcmoIfIVT9NEKtBfg+UdWOEZOd5hUzLTBvioD3xLUuDlkEOAYPo2xddw4/DVMwhfOx8IXNlGdH1fLaRUQpE0GzBR1fQdcLymCW2GRTycpOI1EZIF40iTi7cdQhTB6FAC7oJfwU8Y8oCtew9rK5XRG6umxq0kGBTIizaA7g4yq4zfzmpm/P4dTnWSmtDg9HkW0F/AKFpek6jnTsGDWQZt6/M06BCF333X99ZQeO7Da181Y7H1iBnMeXXMg//NfRT7xaaa4z4GdwmhaDAuvglglSIug0EUxcCHXTakqQZdTRWdLkT67j2jlXuKdd2Ht99HARk5nwKyh+52NvMQK9hllnr8P4AKaaccUmin2m3lPbYGfZet4qthMVo19hmtEiYwy2CQW82PxjtFXcrZlUH2xzeZcEU+E8YWiviLSrHjz/v3k+jt5fsEiBtPXAuMVJqE1Ka+EJw2Kpo3QmlWWyYx4AscPWOL0UtPTwdDAILtcm18kpqE6HNyCxhYe4/TtAAAgAElEQVQBuTnVPDptEY/WC67d1cA5s59maM8FSDtPz96LWWPMYtNMn311FsILEC8PU91XACmJOT79eHQRwUPQDyBBZiGBw3RjCFcb7FZhvKUKP8M0o4SnDZLCZUZNjLtvvpzfdRT54Pc3lj2vNCumV3LjOVOOW+AfCX/+Qv9w8EtliaFBq/BbWmVJogABQh74MCJoy/+rIKxDGOFYcfBO9U4unB67+bAeaYCQ6CAYO6woBUG46EOUhrnsvDPYs3UDax59lEfWrGH50n9j6xM/pq6m/BIVBsKVePs3hW0yY2BY4bTdsMJ2G3bYtpGIlFqFCz6SoV91aSiDO9jPwP4i+/fk0Nkuiv1DFEomUbOIYYL2PAJfETPzoAMypTSGO4hJiaJKozEItEWfr3H10wBYokja7EOg8JSFwiAbNAAVQDmkwFMjroRpII0pSqAFMTlMJNpDIqZINCZoGRQMJhPsrxYYRj/T/T30RtOYvkHc9VGRIk68RAUDTCt14bo12EWb6XoXlfTyZPICkJpao43ZfoFF+V1MdctSNwBceK5iGVuSc0moIp6wUEIQ8TRxodgTrWVvdCbJ1Ex0YS9//+rncQyLL095F4Ew6LMrmZNvpzooMKewhxlyLwNGNUPKoCW1gkdqVrMj3cyQlSLpF0hYMZLJGhwzSXPCZmHMxI+kWVqR4jLb5ifffYVeW3C+ZVNdG2Uw77JWFdkxJQwr0ILHU54HjWEH/t+eNlKv7CVddBiO25RMSZXrcnlDDXVVSabd+1mm/fYriJSBrKvCff47MLWTfT97B9lsnkisn0idScUl5zAlm6Aw4zSUIckMt9Df/QRK9fFQ9GJ+ydtxElGmOy1UMUBhZpw9nEIgTGJBkQonx7CZpmiF2rFJQCxwSKo8V+/7Dd2xBjYlFzFgNiJNyV5tsK7sHj8147C0I0O6IJgylCFRyoWDsBb0JeO8cEozu6fE8A1Bf96lw3VJuAFSC5r7imgEW2Ym+fGcZuSsacQcheVrmgZcGocHqC85OElJaniYBsehoiq0ocjqGnYPlXByJfodRbZQYk8AJSNJTjeQ9wWODr1j5lUZlAIDZ2cGa2do3P1FJMUrc89l3/Q4pfb3ILWHyIfcvzV0IAidwscSAaZwyWBSRQ4XgxpR4NR4hmqynLZ4EavPvZItW7YwODhIfX0906YtRFdpgv6Abt1Nv+jnG7v/k45cBzv/9d9oy7TRkevgs7/7F/5xcztnz32MxkTjMYu9Y8FfLr0zsLcsqBU68BAqOKA6GlYoOCeK9yZNUIefBmsNjz/7O+759/9k7U+/jtISX0cQKL7xwI959oX1fOvLX0BhEng+u1s7efN1/5sdL4RxaTQCpU20EFx/6y3c8Fc3cNVbw0h7f/OR23nLpZdx9duuQmiFqXMIHQAarQ0CTDQCSVDmJ012tHXR/aMnqYgO0uXMpac0HX0ITx2TwxgyQAqFryyk8JFSUPITKC1ImgNoJA5pSl4UITUyAZWRdhKiG0VAPqjCdZJoQFkQICglHPZUx1hfNZsmt5tTBvtR2qK1zmRD9Slk4ha17iCf3flvXNYfxumxXmOMvUBIMpEkwyKNISTNhTYAlJBkIpUYRoAT98nEFF7EgmglfWYFG1Jns9juxfB9iNcjfUllXGNGTJKJ+Xj+EIODL+CUOukRcynEVrAgXsRw2wmseuxgiGxmC/f717DGPxBv39Ie50W62e7XUm0oPlLfxhzdim0nMc04ApP+gV2UigO4Xgbf1wgxSBAM43sBhaKB78XJ2CZ96RSL2UKUEjtYiNCKpM7xP+IaOpnKkKhCI0jpLG1y5mGv0Rx/N/PZTn3Qy27mUNBxBmU1puFyrXyAInHWsZoO3UyHHLu6c8ngK+RIkrWS2MpBeoLa3DDd6WpKdoSa3DCVhRyz+zqoLOQQQCKZIhGP093dPfpKCQE7GprpilXS0NNHLFukqC1MofC0QYBAIXG1QUHbxPCIahNPeJgESKnCp1pLosLD0aFS45gWduATaIEhIK8thlQMtKKITUmbKEKjdTwokApyCK3xhYESkkCY6EiCudVRFlge+WyBRcPtvGVWkpjvIKqq+ceNWX5lla/LBDPsZNSjwi+gbUmzO0CzMcRlq88gEonQ3NxMZWUl3d3d6EKB6qlTaWg4sJF5V76LiqIg2L6LIJuhs3sXP3nmKwgNhaigEIGKPEQ8zYPnSnxDoMqes9fMfjv/tPqe415/85dL7xwGvtmE6/ioQBEoMAwRKv5muLGCsAQmJQzpoaREKYHv+9iiBHYULzAJPNBCojUEykBpjVZw6pnTyZXu59++8xT/6/pw782Nm7fQMH0la//jmzz4mx1csPoiiqUiH/7HO/ib2+4gr6p4Zt1aTl++kngiQS6fZU9rK/VNMyhqEy0g0BJHS4q+BVoj9UTucmNpqoA+dspFWJkohnRI1+4LNYloQNooEgs022vOZUhLInmPuK/ZlDJ4NS3pjUjyJihxkCYxogQIAYQeGAnlYaCw8Inj4iCJ6RJxXWCK180F4nv4hqJ/Sg05M8FM0cLK4Md4rk2338iL02vZO+UcOtQ0Yo7DkuwOqoJ+KuIlREoxnDaRSmKYaWJmBWknRlDTTBBN4vlDZIut5DNtBK5ky1AzICkUDdy8hWnFSCSmEE/MQakMyi/h532m7n+RrBVFChvP2wda0O1LgkwJ0fM02pEoN0akMoFY8BJRfs/ejERlIkQSRYy8oNiX5urKB7hw/iPoVAW2OUgVu1D9gqjtEukAoWFon8DsFshSeGvkoCCREcSjmiAqKdTbFKttEkpTXdSY/QMEOUF+hoGnG7FicRbFDLQtKQWV3BTdgDN1G06Qxs8rVMKgpB6nM10kbrtsDk7n6ZoLWDS8g0I+Smv9dHabc8DQ2MN53FScqO9SMqJ8hrtHb21dNsOZ+Q4CpXC9IjeseZhzm5uoOftsMo0V9A8Ok+/rpGRG6EpU0zlUQKgknuNSlPVkiePlhtjSUyIvQMWm4ZpRBgIbU0uCnMYOspheEUMHGNoj5heJqRKusInogOrAJe0VaIlPIWdFGbCqKBlJijLCvEwri4d3kvaGKVhRSoZN0YiSjcSxtE+d00PazxFTDuIgO4mJJNAKfSTZuDt8tmcVHQyl+c02iHoBccfjHSWX24dzeHWN/J9l76E3HnrLzDL6mRkZ5OolM1i16iL27NnDtJ4INXPPRxaL+P0DeE8+RXHHDtzn11HIDKOLLkPJJIlzzqFjqJXY+h20WxaeIYm5PlaguDRi0VGdwlRhUJWSZZKN2fz1Lw1KtknacahwFa56Fv1zD2Gf2Jhhf5GavlKKntZO0F5IfwiBwAJhEgrNEcFphPTNCKWj/XIeAIUmCI8RoHVQ1rpDdHV384+f/lde2ro1HPGnTeWeT/09juvy9/90D909vagg4Npr3s5HP3g7Qgj+v6/9Fz948EEM00KrgHe94x28/73vQQuBloI77vwYl15yMVdecXm4cEbrsKlSoK0R2ql8v6SBskzaW1t49NWvscVfSsmJUgqimATYuORlHNP3iZXy5OJpAsNASYO4V2BmsZWUm8EulkgUcihDYmsXkxJCKUzlI1yF8MGKeyhfonwD5RkEngyvnxL4jubgt01IgZASrTRajQ+tfCjiVZVYkSiReBI7GsPzXNxSCa9Uwi0VCRyHwHU5zCZrfxDMIMA3jj9khVQKK1AIrbF9hTJMrEChhcQzQypRqgDTLSHQCA2uKSlaFv5Bq1alUighjsmOE81LClEDJUEIjYFPgBE+K0Ij0XhYDFg19CcbKcVsmoc6sLwS8UQKObwfhSQQEgsfjcBSR9/n4KgYuT0n0hR1iG0r5npU5UvYfoAVKKRtg2lSsC1i0Si2MEgFCmmYaNtCmyaeIfEtE5VI4NkWQ0MD5EpFYtXVuE6J4d6e0efU9gJqcgWWtPeQeOvbsAQMbXuF3phFwooQS1ewZ/sWZvYOIzQoKehJxxlKJeioiIf3EIhJhZl3yUdslDzygjchJZF4AgKfhK+picRozQ8TAKlYnHd/8cvEqo9vp7STyntHa013awshT19WXlX4cgJHsxCOr8+QCKkZeS8FhDdTCaTSo0HQTB2MVqtH/ggAgTYkytdopRFSIgApBFqHhhtdNuCEucXoyyMQKOWPPv8CQXCQMG3t6OTZL3/hmPtyKKTUGLZGCTFav1YGWkt0oFB+gDQjKMNClmc9AFJrhA4QpoVvWmitQupHlHUwDQqDaOBjGyZuoDCVwlIBkZKDcB0CoZAqIJASFY4haAFmoJA6bIvlKyKeR9wpEfF9ol6A0BqpNemiA0LgSwGIcnmBL026kzU4po2HgWeYKCERgWZ3agobG+bSH6kkYydZ1b2VlQObsX3NjvRMsnaChMoybCdpSU5l/vBeFg7tRQlBVDm4wiZnxVCGIm9HMfAxhUPejOMLE1u5WBKEDOkFhcDzFRYa0zKwLBMdTSBiNkG0BlDIwgAKRUlq+r02qvrzpBwX1w5wLI0dBMQci5gfanxGoFBS0DSYwwoCfCkxVXj9EYKSaZCJRShGQs8V0w/QQhDxAwIpSBcdhAYrCK991POJOx52oPBNAwV4iSgFAamSRzwZw6itJBZLkkgkKdoGquAgAoGbL5B1SziOg+OUqDIsamtr8G0THbUQNZW4cYPd/bsoGYpIJEZftcHsVz0a/Qpcp4RvGDgoqptnMOX0M2hYdRbevn0wnCGzYwdDvd2k7SiRWCxcs3DBBVhTp4ZCvwxPeZjCPCwVorTCCRz2Du9lQ/cGuvJd5L08+4bbqXg5S+0uD3tw7D62RqCQWuOZR1YMlC3pSuVxbEVVxqYYCTBNEzuVYvW8i0gmKoinKxFSUCpvkLTwvAtJ1YQhNyZq84kIq3LS0TvJQgnjkABnh/rv+IZElY24QuvR0RvAUAqp9AlVXI4XujwIjAwJWoRcN2UBObO7gKGhopAj6ZaQ5RmCkgKjrI26poESAiUEplKYQfgZ0UMCITDeQAUgb0bJ2jFcw6JU9n3X4ZBDwYxgaI0deJRMm6FINa2JOPtS9QxE0mTsOJlIAiklTVVx6lKRkIaTklIsgRtNMFj0qYhZ1CRshABDCKKWQU3C5mrbIG4ZNKQsSs5yfrntrSyckuaShhQxAyKmYKjUw1BxP9sHqnm28yJWz5qFYUaYUxklFnUBRWWkkmJQoKA76Cl2YhkmWb+Xlsxeegu9ZL0sHdkOZlfMRQAd+TYyToasd/gw2vOr5jOrfhX18Xo6sh3kSn2c3biK2TWLuOVXt2L5AkHA7E5NV41gIAm1GZhVSqEiFlsSAzT1wzJzJsuHa6nsUeTmVvBK3yvsTZboUkMMJwQzejT5CHgm7K8WZOIQyJCuMgPwrIM9nTJA94TtnR6rw1cKH820ZBM9xT72FTaMz1gFtUaMvPIoah+WwJz4FKbE6sgGRaJGjIS5ByvYy9T1v8EQIQ27p66TUrULWmMLSV65sOlh2KRAa3rcDH1+nmxQwhIGpjBIGVESRoSkGSUqbfYWe+ib4JrXWmnihs2WxiyFOgcRaK5+roHKXNljJh4hXpliYHGUnft3kzAiGL4kFxRxfQ8jEHTM8hDVEdqdPlakZzE9MZ2P1p5BpZ0KHUHcPKgMGMXQCaM+EtoUe38HfRJKQ5DtCh03rBgMt4OTRZih3YLL/hWMEyum33BNXwjxFuD/EXqf/ZfW+vC+kRy/IXdnRz9+ELpzCTSmCjDLg4AWAqkVkcBFlNkJjcSTBkY5/LESAj2iqR0StTIsH2rnbtmLphxLEFFW8QXgy3DabeiQLpFaY6kAXxoEQpQHHDBVMHpeASG1A+FCHR1+Hziux5yrZf8+tt99X3kWo/nt1NMYTNfgmwZFbZCJpYkZATHhYwgIfEVE+VS7OUwR/j9tqIuEUyAwJK4dQQuBMgwCKUEIom4B23PQ5d/I8BOYJomghG2qcFAKNFGvFF5nS2LbiqwdJzAE0UIPjhQUzQjSVFRGcqRE6A2hECgt0eWlSQqJjUeEspHPNDGsCApNnoCicFGU8KRPUQqKQtJvCPYakh2mQbXSnOdqpAYbQUJLDGlQQtCuHBw0GTT9hkFEaaoMTcSADgGughKSzEH3fGTgj6pwy7dAMEppuVZQziMQIcNCSgkqlSalBDXCpkVo4hpqAoj7AVW+T0nDbmHR5GkaXUHK11R6mqgIV5wGZVuUp43R2dWAFSGQBgHQLaBWKRIqoN0wGDQFMQXCNRi2wZCQlbo8+9EILZiqNEntIXVABIXtG0S0IoLG0horgJKU+IAF+Af1XwtNyQBtexhouoUNgcGANLDLXsZFJLaGej8gFoT31UBjokgrRZSwb0JqtqWhO6HoiykMrVFaEmiBqyVFwtmG0FAbKGyt8QUUyu9LjRfeW4CohoogIKY1nhAowBECRwpcBJ6EqNI0+gEGmphWNPiKRj9AorFlgGH4RGTAL+NJHqyOYXmSwFA4tiJWMol4EkMJzACmOJq0r1nmlqjzFUmtMITGEOF3wnSxZYApgtBwrQw8JfGUUf4//B5RcKQ48K4LoZHSQFgRhAqdLU779LPI6OEXsB0JfxKavhDCAL4MvIlwo/QXhRA/11q/cqLPlSwNhdowHFjlOEKZlH/65oh4HhGlAZ40QhpdKcK1d2BrH1m2BYwI9ZHqYgp8YZb5PDF6Lg1E/VCMaURI3wjwZKipWVqVZxd69IaPCPlQsS/XI0R5UArrHqH5R6CkprdhJNa5Zk6wEQ5yNz8qhEYJTUaWuZWDgkuOCDun/JlgjRHF8YdCuED+4BzyoAToJQqcuFj8EphT/gCMTNQd4GAdL17+VAEzDqnj+JjTo2PJIb9HQvzNKn8PAkMCOqVAlWk8Q0qkIbAtMwxPrDU4oSeXAOrLz1sRqPUFVQWFFIJ4zMQpOgSBxtcaV4VUmRQSKSSBCs1CrtII28ITkC0LbdMywhGtTEkeDK00XsHHKYUPiBACy7aYIgRSSqQMn1kpJdIM22yYNhqJr6Ef0Eoh0HhOCd2Wox6o58Rg5H5LIFb+HJruAaXy9d5+mHquPMbztZc/rzcWGzZHtgq8drzR9M6ZwC6t9R4AIcQPgKsJ9809odBWgFDe+OMcoHmEBmPkQPnYiGAb4YdhRKkLmXstyuJYjPwGcMfcmKD8IxitWh94h7RAi4PF9sQYRyuVOe5D4VmKTacMlWcCAiUP3WblMJVqQmGgQw1ViXAACcqfA3TSgQITeUdoEQoUQxiY0sSQI9/l/8WBYyE1pUcFkBRGKNyEHG3cSN6RjyFNTDPkpg1hkIqkSFop4lacqBEhakaJmjEi0kYaRtkeIlCEMydXuZQCB43GNiNURCqQMjxfKDcFbrGAVyohTRMpDaRpIKVRdgAIheABfvVAObQOOVoZCj4hZGivEaL8LcNzyRHBaIQCsZxuR2NY0ShWJIphWX/yobG1DgU2gGmF1/t44bkO2b5ecgMDCCmQ0sC0bQzLKl+LssI2eklE+bdAmiamNUIJHvSUHsJaHInFkNJABT5uqUQpl8UtFjFMk57WPXilElprklXVpGrqiCaTWJEIhmVhx+KYlk3ge0jDQCtF4PsEvo9bLJAb6EcFAb7rYphmeH+jMeyDvs1IBCnDslprlFJoFaCVKv+vRtMM88SL6Dda6E9l7AC5D1h1aCYhxG3AbQDTpx85ENLhUDWlmUAHaPQYo8jBgnMk7eD/NQd+C0JeUVJ+kRGjm4CPpI1sagLhxi0jWxAe6YEbJ7wPMtpKIcekHyoIDi2bGSzxtx/69wNtLZcf095DfkMoQMftPXtQ1bWxWsq9HO3zwXVJ5OjxSZwcEEJgR0/MClHLjlDdNI3qpmknpL7jRbwCaDjgsjx1waJjKmdO5EZZVf2a+jPq0GEYhITaG4M3WuhPJCHGSUet9f3A/RBy+sdzoj+X0Mh/KCJGhGWNy/7YzZjEJCbxZ4LXadeEw2IfcPCSwGlA5xvchhMCwzBYtmwZS5cuZcWKFaxbF664bWlp4dRTTx2X/5ZbbuEnP/kJAAMDAyxfvpxvfvObb2ibJzGJSUzijdb0XwTmCiFmAR3Au4Ab3uA2nBDEYjE2bQqjGT766KN88pOf5Omnnz5queHhYS677DJuu+02br311te7mZOYxCQmMQZvqNDXWvtCiA8CjxK6bH5Da/3yG9mG1wOZTIaqY9joIJfLcfnll3PDDTfwgQ984A1o2SQmMYlJjMUbvjhLa/0r4FdHzXiM+NzvPsf2gcM5YB0fFlQv4ONnfvyIeYrFIsuWLaNUKrF//36eeOKJo9b7d3/3d7z3ve/lIx/5yIlq6iQmMYlJvCa80Zz+XwxG6J3t27ezZs0abrrppiN67ABcfPHFPPzww/T09Bwx3yQmMYlJvF74sw/DcDSN/I3A2WefTV9fH729vUfM9653vYvVq1dzxRVX8OSTT5JKHd82aJOYxCQmcbyY1PRPALZv304QBNTUHH1N5x133MEll1zCNddcg+u6R80/iUlMYhInEn/ymv6GDRv6hBCtBx977LHHTguC4Ogbfh4BQRCYhmEcdx3FYjE+f/58BeFCrLvvvtvbtm1bsG/fPrF9+/ZYQ0PDKNdz5513uv39/UZLS0uwdevW4MYbb2Tbtm32lVdeKe69915HHiX86pHQ1dVlLlq06Fj2izwYtZQ3uzvJcLL2G07evp+s/YbxkUaAP4PQyhNh8+bNLUuXLv2DbuTWrVsXnnrqqdtOVJv+WNi8eXPt0qVLZ76WMkKI9RMFYvpLx8nabzh5+36y9vtImKR3JjGJSUziJMKk0J/EJCYxiZMIJ63Qr62tPbKrzV827v9jN+CPhJO133Dy9v1k7fdhcdIK/cbGxpPVuDMS0O6kw8nabzh5+36y9vtIOGmF/iQmMYlJnIyYFPqTmMRfCMRJurnBydrv48VftNDPZrNx13VP+FqErq4uY8GCBYsWLFiwqLa2dml9ff2Skd9CiNMXLFiwaO7cuYsvvvjiU/r6+ka3F/r/27v34Kiu+w7g39/dXV1ptctqEawk0ItYoDcyIPMwcpVAQuupqR/jMJ4mxhM7sV0wwUNrPDZOYYhDTI3bGoeHa2YcYNJ0nNSGQiemk1qkKuNSwC0FyQsChCT0frAW+2BXd++vf9y7snjrvXu15zPDjPfsXun8dLy/e+65555z8uTJxIULF87Kzc0tycnJKXnllVcyVH23HKfTWdbZ2WkCgIaGBgsRzTty5IgtcqzT6Sxra2sb9FZFRPRtIpo3upHHPiJyDPjveEsGMf/czRgZvx1IJoAJmfR9Pl9ibW1tQUtLyzRFUYa/p9sdpKenh91ud63b7a5duXJl54svvtgeeZ2UlKS63e7aurq6mpSUFOXtt9+eCgBer5cef/zxvPXr17ddvnz57NmzZ2uPHz9u27p161RJklBWVub77LPPbABQVVWVXFhY6K+urk4GgNOnT8tOp1NJT0+/zS61NyKiOUT0OwCfAMgb7dhjFREtIKKDAPYQ0bNEJLMRH0IZBiJaSES/ArCZiGbqe1FPeES0iIh+A2AbERXFS9wjNSGTfnt7e5rD4bian59/wWq1BoG7b184VhYuXOhrbm5OAIAPPvggtby83PvEE0/0AoDdbld37drV+O6772bon/UeO3YsGQCOHTtme+mll9qPHz9uA4CjR4/aysvLvXf7XURkIqJ/APABgPcB/COAQv29CdnOEUQ0G8AOAL8F8BsASxAnJzwiKgHwHoDDANqhbTO6Un9vwl7pEJELwC+grdjbBWAtgGf19yZs3KPB8JeDLa9vyArW1Vm1VwxmIKSqMklSYj1RiqKqZhNRWNvPnPD1tuh3Js+c6Z+25Wcj2uxeURRUVVXZn3vuuS4AqKmpSZw7d65/4GeKi4uDfr9f6unpkSoqKnxvvvlmBgB88cUXydu2bWvZuXNnGgB8/vnntgcffPCuSZ+Zw0T0KYC1zBwgIj+ADUT0FjNfH0ksBjAPwAVm3k9ETgArADRG3iQimsC9/oUA3Mz8ayJKBrAewPeIqIqZL0/g2MsAnGfmD/W4KwCsIaI/MPP5CRz3iBm+BxgKK5Ywq3oc2rbhKrMpzGwKhsOJCquWkKrKwbAqRz4zloLBoFRQUFDkdDrv93g85scee6wXAJj5jh0QIkJlZaWvtrbW2tvbKymKQg6HQ83Ozg6ePXtWPnnypK2ystJ383Eej8cWCoXkyGtm/lhP+ARABXAegHVsIo0eIqokogUDiv4VwONE9DMAZ6Btw7mdiF4FgIn05b9N7CcAZBHRfczsg9buXwH4ETBxYieix4jodSL6U73ofwGUD4j7BICTAF4AJk7cY8GwPX1FUaRLly7N8D31lH3SpEmezOzsJovFEgaA5ubmtK6uLldGRkaTy+XqCQaDlosXL97nSE9vnTx5cu9Y1kuWZdXtdtd2d3ebli1blvfWW2+53njjjY7i4uJAdXW1beBna2trE6xWq+p0OlUAyM7ODr733ntTSktL/QAwf/5834EDBxzd3d3msrKy/t56f+w+n93v918nIiczX42cVVg7w7gBLAWQCEyM3i4R2QHsBfBNAAeI6DwzX2XmDiIqA/ADAK8z8z4iqgTwV0T0H8z8eRSrPSpuE3sdM/cAuAjgvwF8SEQ90Hak+xWAOUSUaPSrPCKaCm3IcjK0IcsPiWgVM/+WiP4ZwBoALwPwAPg9tKucDGZujVqlY5xhe/qSJLHdbu/Nycmpt1gsoe7u7v79CtPS0jpVVZUURbEAgCzLfcnJyd7xHOpLTU0Nb9++vXHHjh1pwWCQnn/++e4TJ07YDxw4YAe0G7urV6/OXrNmTVvkmPnz53t3797tWrRokRcAKioqvO+//75rzpw5voErcQ6MXZIkBcB3AS3Z6wlfYuYrAI4DeDLy3rgFP3ZCAD4D8H0ALdDjBgBmdgMoABAZljsFoANAcJzrOFZuG/p0034AAAo2SURBVDsze5l5PYCXAPySmZcDuABgttETvu4+AMeY+Y+YeTeAvwQQ2Xru1wAKiGgpM6sAugFMh3alI9yBoZI+Ea0kokpVVSVJktjlcnWlpKT0JiYmBv1+f7Lf75cBwGw2q5mZmY09PT2pXq83qbW1deq1a9fssiyPawJYvHhxoLCwMLBnzx6nzWbjjz/++MKWLVum5ebmlhQVFRXPnTvX99prr/Vvo1VRUeG9cuWKHBnKWbx4sb+9vT1hwYIF3o6OjlSPx2NTFMU0MHaz2axAu8ydpf+NJGZWicgMoA7ALcNCRhJpcyJKYeYggD3QenTnMSBu3b8B2KRf8TwFoBhaIjCke8Q+b2DszPx/zHxAf7kEwH8Z9YamHvc3icgK7eS9Ty83AajV/wHaUN4/AXiXiPKgXdkSgITxr7VxxPzSyvr/uOnQLu1UABerqqr+fPHixRcsFosCAH6/X+7q6kolIs7Kyuq/rOvs7HT6/X7r9evXEzMzM5uTk5MN1fNhZoRCIculS5dmAIAsy0FVVaWcnJymSOynTp3KKC8v/xDAdWZ+E7gh8f8dAC8z/yR6UQzd7docQDK0m9Rd+mdmAngGQJCZf6qXJUFba8UFbZjjx8xce+tviF1DjL2/zfXyeQDeARAG8DwzXxzn6g/bveImIpM+WeH7AP6MmVcMOHY9gFnQrvR+xMyGXzJ9LMV0T19vaAZgB9DMzEsBrJIkSa2vr+/fIMBqtQatVqu/r6/PEggE5HA4LKmqSlOnTr2anZ3dnJ+ff9GICZ+IEA6HJYvF0ldYWHg+Nze3wWQyKQNjN5vNfdB6Q9OIKI+IEgEk6W+vM2DCv22bA+iBNhUVAMDMddDiztDnpluZOQBtXP8ZZv62ARP+UGOPtHmkvS8D2MjMSw2W8O8W981r5yyDNjUXRJQOAMz8NwBWMXOFSPj3FpNJn4jMRLQFwBb9hlw+tN4LmFlxOBw9fr8/2ePx9N8YnTJliichISFUV1c388yZM6WBQEDWf1ZUYhguVVXR0NAwvbGxcbrH47EFAoFEaPNMIUkScnNzm26OnZk/AXAFwKfQvvjZenlsX8YNcK82B/BjAA/q70Evj8T9OwCXiKiQmRVmbrv1N8SuEcb+KYB6Iipi5m5m/sP4RzA8g4x7ERFVMnPkwUQvtHg3A/g9EWXqnxd7jw5SzCV9vfFPAXBCuyH1UwB9AL5FRPMjn0tLS2ttbW2dFnnd1dXlbG9vz0hOTr5WVFRUY7SePaBNwaytrS0Kh8MmWZaDLS0t04mIfT6fvbe31wpoJ7GbYyei7wLYAKAK2g08Q/V2BtPm+glsM4BNA44zdNzAqMZutKuaIcetj+k/C62nPwnAt/QJC8IQxOKUTRXANmbeD2jLCgCYAeCvAeyC9iAOUlNTr3q9XnsgEEhISkoKWSyWvry8vDqHw3HXh5hiGRHB5XK1uVyuHgDw+/3WYDAop6entzQ2NuaUlJR8ycw3xK4f2gbgT5i5Onq1H5F7tjlpTxV/Ai0pzGDmehg/biB+Yx9q3DnQ8tVuAPuY+YvoVNv4Yq6nD+3s/xF9vY7GMQDZzPxLACYiWgMAwWAwAQAnJSWFAMDhcHiNnPABwGaz+adMmXI1Mipjs9m8oVAoIS0trRsAtba2uojoltiZudrAX35gEG2uT8nLBBDWk95EiBuI39iHErfKzA3MfJGZXxYJf2RiLukzs5+ZgwPG8L4DILLL1Q8AFHZ3d7vq6+u/YbVa/bf/KcZkMplUSZI4ch+it7d3UmSWTm5ubn0gEEg8d+5c3kSLfTBtTkSHoc3LnlBf+HiNfYhxnwLEmjqjJRaHdwD0j98xgDQA/6IXXwPwut1ufyI/P79dluW+aNXv3LlzCY888sjMurq6mkjZunXrptlstnBNTU1SdXX1pIaGhjNJSUnc2tpqLi8vL2xubj5zt+M2b97cDny9OJyiKBan09kKaCeE7OzsZp/Pl5SYmBiMZuxj5W5tDqAEQD0zN0epemMqXmMfStxGmpgQy2Kupz+ACm2d7C4As/Wz/k8AqAkJCddjPemZTCbevn37lOEez8xkNpsVn8+XdO7cubzm5uYMAOxwOLyxHvsI3LHNmfk/J2LSGyBeY4/XuKMmZpO+flafA+B7ANYB+ISZn2HmMV07Z7S88MILHbt27Urr6xt6fiYieL1eq8fjmdzR0ZGWkpLiycvLu2w2m9UxqGrMMHqbj0S8xh6vcUdTzA7v6K5Am5b2t6w9hn6Lf9/3ZVZPs3dUV5KcPN3mX7qycERLK+fk5IQeeOAB786dO1NXrFhxw1ogTU1NckFBQVHkdVdXl2XVqlU3zC2XZTmUnp7ePG3atHZJkuLpsvaebT6BxWvs8Rp3VMR00tfn4P482vW4nTvdUxpYvnHjxtZHH30078knn7wh6WdlZQXdbnf/vOp169ZNw01kWe7LzMw01ENGoyGW23ysxWvs8Rp3tMR00h+MkfbIhystLU356quvbtieraenxzRjxoz+nkpJSUmwqKjIv3fvXuetP0EQBGH8xeyYfqxzOByqy+XqO3jwoB0A2tvbTUePHnUsWbLkhmcFNm7c2Lpjx4706NRSEAThRiLpj8DevXvrt2zZklFQUFBUWVmZ/+qrr7YUFxffMCZZXl5+vbi4eMLMqRcEwdhifmnl2zl9+vTlsrKyrmjXIxacPn16SllZWW606yEIgjGInr4gCEIcEUlfEAQhjoikLwiCEEdE0hcEQYgjIukLgiDEEZH0BUEQ4ohI+sNkMpnmFRQUFM2cObP44Ycf/sa1a9eku5U3NTWZly9fPiMzM7O0uLi48P777y/Yt29fSnSjEAQh3oikP0yyLKtut7u2rq6uxmKx8DvvvDP1TuWqqmL58uV5Dz30kPfKlStnampqvvzoo48uNTU1Jdzr9wiCIIwmkfRHQUVFhffChQvyncoPHTpkt1gsvH79+sjOQJg1a1Zow4YNHeNbU0EQ4p3hF1w7suvvs7qaGkZ1aeUpWTn+P/6Llwe1kFtfXx+OHDkyadmyZb13Kj9z5kzS7NmzxVIMgiBEnejpD1MwGJQKCgqKSktLizIzM0Nr167tulv5QE8//XR2fn5+UUlJSeH411wQhHhm+J7+YHvkoy0ydj+Y8tLS0sDBgwf7l1fev39/Y2Tf3PGoqyAIQoTo6Y+D5cuXXwsGg7R169apkTKv1yv+9oIgjDvD9/SNQJIkHDp06OLq1auztm/fnj558mTFarWGN23adCXadRMEIb6IpD9Mfr//f4ZSnpOT03f48OFLY1srQRCEuxNDDIIgCHFEJH1BEIQ4IpK+IAhCHDFq0ldVVaVoVyLa9L+BGu16CIJgHEZN+mc7Ozsd8Zz4VVWlzs5OB4Cz0a6LIAjGYcjZO4qi/LCtrW1PW1tbCYx74hopFcBZRVF+GO2KCIJgHMTM0a6DIAiCME7itZcsCIIQl0TSFwRBiCMi6QuCIMQRkfQFQRDiiEj6giAIceT/AUx72dta9hePAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "portfolio_5yrs.plot(title='Core Stock Performances');"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 2160x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "portfolio_5yrs_daily = portfolio_5yrs.pct_change()\n",
+    "portfolio_5yrs_1 = (1 + portfolio_5yrs_daily).cumprod() - 1\n",
+    "portfolio_5yrs_1.plot(figsize=(30,10), title='Joint Cumulative Returns');"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create Plots\n",
+    "def get_daily_sp500_plot():\n",
+    "    SP500_daily_returns_1= SP500_daily_returns.plot(title='S&P 500 Daily Returns', figsize=(20,10))\n",
+    "    return SP500_daily_returns_1\n",
+    "\n",
+    "def get_daily_core_plot():\n",
+    "    core_portfolio_returns_1= core_portfolio_returns.plot(title='Portfolio Daily Returns', figsize=(20,10))\n",
+    "    return core_portfolio_returns_1\n",
+    "\n",
+    "def get_cumulative_sp500_plot():\n",
+    "    sp500_cumulative_returns_1= Sp500_cumulative_returns.plot(title='S&P 500 Cumulative Returns', figsize=(20,10))\n",
+    "    return sp500_cumulative_returns_1\n",
+    "\n",
+    "def get_cumulative_portfolio_plot():\n",
+    "    core_cumulative_returns_1= core_cumulative_returns.plot(title='Portfolio Cumulative Returns', figsize=(20,10))\n",
+    "    return core_cumulative_returns\n",
+    "\n",
+    "def get_cumulative_joint_plot():\n",
+    "    portfolio_5yrs_2= portfolio_5yrs_1.plot(title='Securities Cumulative Returns', figsize=(20,10))\n",
+    "    return portfolio_5yrs_2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Create panels to structure the layout of the dashboard\n",
+    "daily_column = pn.Column(\"Daily Returns\", get_daily_sp500_plot(), get_daily_core_plot())\n",
+    "\n",
+    "\n",
+    "cumulative_column = pn.Column(\n",
+    "    \"Cumulative Returns\", get_cumulative_sp500_plot(),)\n",
+    "\n",
+    "joint_column = pn.Column(\n",
+    "    \"Joint Returns\", get_cumulative_joint_plot())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create tabs\n",
+    "dashboard = pn.Tabs(\n",
+    "    (\"Daily\", daily_column), \n",
+    "    (\"Cumulative\", cumulative_column), \n",
+    "    (\"Joint\", joint_column))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {},
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.holoviews_exec.v0+json": "",
+      "text/html": [
+       "<div id='1035'>\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "  <div class=\"bk-root\" id=\"9c5213d0-9af7-4b6c-a348-ce2d1923f379\" data-root-id=\"1035\"></div>\n",
+       "</div>\n",
+       "<script type=\"application/javascript\">(function(root) {\n",
+       "  function embed_document(root) {\n",
+       "  var docs_json = {\"9f467b72-c93c-44f5-945d-2a6263e501af\":{\"roots\":{\"references\":[{\"attributes\":{\"margin\":[5,5,5,5],\"name\":\"Str01959\",\"text\":\"&lt;pre&gt;AxesSubplot(0.125,0.2;0.775x0.68)&lt;/pre&gt;\"},\"id\":\"1039\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"child\":{\"id\":\"1045\"},\"name\":\"Column01971\",\"title\":\"Joint\"},\"id\":\"1048\",\"type\":\"Panel\"},{\"attributes\":{\"child\":{\"id\":\"1041\"},\"name\":\"Column01966\",\"title\":\"Cumulative\"},\"id\":\"1044\",\"type\":\"Panel\"},{\"attributes\":{\"child\":{\"id\":\"1036\"},\"name\":\"Column01961\",\"title\":\"Daily\"},\"id\":\"1040\",\"type\":\"Panel\"},{\"attributes\":{\"margin\":[5,5,5,5],\"name\":\"Str01969\",\"text\":\"&lt;pre&gt;AxesSubplot(0.125,0.2;0.775x0.68)&lt;/pre&gt;\"},\"id\":\"1047\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"client_comm_id\":\"09ae8142e1344a11a083f3fe7dff71e3\",\"comm_id\":\"208eaacba18f409b8c0a7b55dbc028a8\",\"plot_id\":\"1035\"},\"id\":\"1049\",\"type\":\"panel.models.comm_manager.CommManager\"},{\"attributes\":{\"margin\":[5,5,5,5],\"name\":\"Str01957\",\"text\":\"&lt;pre&gt;AxesSubplot(0.125,0.2;0.775x0.68)&lt;/pre&gt;\"},\"id\":\"1038\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"margin\":[5,5,5,5],\"name\":\"Str01964\",\"text\":\"&lt;pre&gt;AxesSubplot(0.125,0.2;0.775x0.68)&lt;/pre&gt;\"},\"id\":\"1043\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"children\":[{\"id\":\"1042\"},{\"id\":\"1043\"}],\"margin\":[0,0,0,0],\"name\":\"Column01966\"},\"id\":\"1041\",\"type\":\"Column\"},{\"attributes\":{\"children\":[{\"id\":\"1037\"},{\"id\":\"1038\"},{\"id\":\"1039\"}],\"margin\":[0,0,0,0],\"name\":\"Column01961\"},\"id\":\"1036\",\"type\":\"Column\"},{\"attributes\":{\"children\":[{\"id\":\"1046\"},{\"id\":\"1047\"}],\"margin\":[0,0,0,0],\"name\":\"Column01971\"},\"id\":\"1045\",\"type\":\"Column\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown01962\",\"text\":\"&lt;p&gt;Cumulative Returns&lt;/p&gt;\"},\"id\":\"1042\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown01967\",\"text\":\"&lt;p&gt;Joint Returns&lt;/p&gt;\"},\"id\":\"1046\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown01955\",\"text\":\"&lt;p&gt;Daily Returns&lt;/p&gt;\"},\"id\":\"1037\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"margin\":[0,0,0,0],\"tabs\":[{\"id\":\"1040\"},{\"id\":\"1044\"},{\"id\":\"1048\"}]},\"id\":\"1035\",\"type\":\"Tabs\"}],\"root_ids\":[\"1035\",\"1049\"]},\"title\":\"Bokeh Application\",\"version\":\"2.1.1\"}};\n",
+       "  var render_items = [{\"docid\":\"9f467b72-c93c-44f5-945d-2a6263e501af\",\"root_ids\":[\"1035\"],\"roots\":{\"1035\":\"9c5213d0-9af7-4b6c-a348-ce2d1923f379\"}}];\n",
+       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "  }\n",
+       "if (root.Bokeh !== undefined) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (root.Bokeh !== undefined) {\n",
+       "        clearInterval(timer);\n",
+       "        embed_document(root);\n",
+       "      } else if (document.readyState == \"complete\") {\n",
+       "        attempts++;\n",
+       "        if (attempts > 100) {\n",
+       "          clearInterval(timer);\n",
+       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
+       "        }\n",
+       "      }\n",
+       "    }, 10, root)\n",
+       "  }\n",
+       "})(window);</script>"
+      ],
+      "text/plain": [
+       "Tabs\n",
+       "    [0] Column\n",
+       "        [0] Markdown(str)\n",
+       "        [1] Str(AxesSubplot)\n",
+       "        [2] Str(AxesSubplot)\n",
+       "    [1] Column\n",
+       "        [0] Markdown(str)\n",
+       "        [1] Str(AxesSubplot)\n",
+       "    [2] Column\n",
+       "        [0] Markdown(str)\n",
+       "        [1] Str(AxesSubplot)"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {
+      "application/vnd.holoviews_exec.v0+json": {
+       "id": "1035"
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dashboard.servable()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Final_project_notebook/.ipynb_checkpoints/df_ticker-checkpoint.csv b/Final_project_notebook/.ipynb_checkpoints/df_ticker-checkpoint.csv
new file mode 100644
index 0000000..556a89d
--- /dev/null
+++ b/Final_project_notebook/.ipynb_checkpoints/df_ticker-checkpoint.csv
@@ -0,0 +1,1227 @@
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diff --git a/Final_project_notebook/Final_Notebook-Copy1.ipynb b/Final_project_notebook/Final_Notebook-Copy1.ipynb
new file mode 100644
index 0000000..91c3f1d
--- /dev/null
+++ b/Final_project_notebook/Final_Notebook-Copy1.ipynb
@@ -0,0 +1,10211 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import necessary libraries and dependencies\n",
+    "# imports\n",
+    "import panel as pn\n",
+    "pn.extension('plotly')\n",
+    "import plotly.express as px\n",
+    "import pandas as pd\n",
+    "import hvplot.pandas\n",
+    "import matplotlib.pyplot as plt\n",
+    "import os\n",
+    "from pathlib import Path\n",
+    "from dotenv import load_dotenv\n",
+    "import seaborn as sns\n",
+    "import numpy as np\n",
+    "import alpaca_trade_api as tradeapi\n",
+    "from MCForecastTools import MCSimulation\n",
+    "\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Initialize the Panel Extensions (for Plotly)\n",
+    "pn.extension('plotly')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Read the Mapbox API key\n",
+    "load_dotenv()\n",
+    "mapbox_token = os.getenv(\"MAPBOX\")\n",
+    "\n",
+    "# Set the Mapbox API\n",
+    "px.set_mapbox_access_token(mapbox_token)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Clean The Data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Set the file paths for the CSVs\n",
+    "\n",
+    "eve_data = Path(\"../CSVs/ORCL-SQ-NVDA.csv\")\n",
+    "\n",
+    "eren_data = Path(\"../CSVs/BABA-PFE-NFLX-CRM-GD.csv\")\n",
+    "\n",
+    "phil_data = Path(\"../CSVs/Phil_Stocks.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Read the data\n",
+    "\n",
+    "eve_df = pd.read_csv(eve_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n",
+    "\n",
+    "eren_df = pd.read_csv(eren_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n",
+    "\n",
+    "phil_df = pd.read_csv(phil_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>WMT</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>89.74</td>\n",
+       "      <td>117.81</td>\n",
+       "      <td>92.07</td>\n",
+       "      <td>45.57</td>\n",
+       "      <td>64.98</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>63.930000</td>\n",
+       "      <td>27.822315</td>\n",
+       "      <td>111.250000</td>\n",
+       "      <td>75.269997</td>\n",
+       "      <td>129.018661</td>\n",
+       "      <td>93.46</td>\n",
+       "      <td>119.20</td>\n",
+       "      <td>94.01</td>\n",
+       "      <td>46.63</td>\n",
+       "      <td>65.87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>63.919998</td>\n",
+       "      <td>27.248917</td>\n",
+       "      <td>108.330002</td>\n",
+       "      <td>74.419998</td>\n",
+       "      <td>125.921211</td>\n",
+       "      <td>93.37</td>\n",
+       "      <td>118.68</td>\n",
+       "      <td>92.80</td>\n",
+       "      <td>46.75</td>\n",
+       "      <td>65.68</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>66.279999</td>\n",
+       "      <td>27.664425</td>\n",
+       "      <td>108.099998</td>\n",
+       "      <td>75.000000</td>\n",
+       "      <td>126.272095</td>\n",
+       "      <td>94.24</td>\n",
+       "      <td>119.65</td>\n",
+       "      <td>92.40</td>\n",
+       "      <td>46.80</td>\n",
+       "      <td>66.36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-08</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>67.699997</td>\n",
+       "      <td>27.498219</td>\n",
+       "      <td>114.930000</td>\n",
+       "      <td>75.089996</td>\n",
+       "      <td>127.666481</td>\n",
+       "      <td>95.57</td>\n",
+       "      <td>121.06</td>\n",
+       "      <td>92.47</td>\n",
+       "      <td>47.45</td>\n",
+       "      <td>66.88</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            ORCL  SQ  NVDA       BABA        PFE        NFLX        CRM  \\\n",
+       "Date                                                                      \n",
+       "2015-10-02   NaN NaN   NaN        NaN        NaN         NaN        NaN   \n",
+       "2015-10-05   NaN NaN   NaN  63.930000  27.822315  111.250000  75.269997   \n",
+       "2015-10-06   NaN NaN   NaN  63.919998  27.248917  108.330002  74.419998   \n",
+       "2015-10-07   NaN NaN   NaN  66.279999  27.664425  108.099998  75.000000   \n",
+       "2015-10-08   NaN NaN   NaN  67.699997  27.498219  114.930000  75.089996   \n",
+       "\n",
+       "                    GD    AMT      HD     FB   MSFT    WMT  \n",
+       "Date                                                        \n",
+       "2015-10-02         NaN  89.74  117.81  92.07  45.57  64.98  \n",
+       "2015-10-05  129.018661  93.46  119.20  94.01  46.63  65.87  \n",
+       "2015-10-06  125.921211  93.37  118.68  92.80  46.75  65.68  \n",
+       "2015-10-07  126.272095  94.24  119.65  92.40  46.80  66.36  \n",
+       "2015-10-08  127.666481  95.57  121.06  92.47  47.45  66.88  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Concat the df's based on what we currently have and we will add Felipe's later\n",
+    "\n",
+    "combined = pd.concat([eve_df, eren_df, phil_df], axis='columns', join='outer')\n",
+    "\n",
+    "combined.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>WMT</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.07</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>126.86</td>\n",
+       "      <td>106.26</td>\n",
+       "      <td>53.94</td>\n",
+       "      <td>60.70</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.85</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>130.21</td>\n",
+       "      <td>107.32</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>60.07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.12</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>132.50</td>\n",
+       "      <td>106.95</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>60.26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.02</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>133.60</td>\n",
+       "      <td>105.74</td>\n",
+       "      <td>54.25</td>\n",
+       "      <td>59.92</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.90</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>134.65</td>\n",
+       "      <td>105.41</td>\n",
+       "      <td>53.69</td>\n",
+       "      <td>60.24</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 ORCL     SQ       NVDA       BABA        PFE        NFLX  \\\n",
+       "Date                                                                        \n",
+       "2015-11-19  36.108597  13.07  30.458263  77.870003  27.049994  120.220001   \n",
+       "2015-11-20  36.404728  12.85  30.722525  79.949997  26.957846  123.839996   \n",
+       "2015-11-23  36.219639  12.12  30.262524  81.309998  26.245783  125.029999   \n",
+       "2015-11-24  36.515770  12.02  30.507206  80.860001  26.781923  123.309998   \n",
+       "2015-11-25  36.330700  11.90  30.468054  81.709999  27.535873  124.160004   \n",
+       "\n",
+       "                  CRM          GD     AMT      HD      FB   MSFT    WMT  \n",
+       "Date                                                                     \n",
+       "2015-11-19  80.639999  130.626297   99.63  126.86  106.26  53.94  60.70  \n",
+       "2015-11-20  80.989998  130.896194  100.49  130.21  107.32  54.19  60.07  \n",
+       "2015-11-23  80.779999  130.077530   99.94  132.50  106.95  54.19  60.26  \n",
+       "2015-11-24  80.389999  130.923172   99.26  133.60  105.74  54.25  59.92  \n",
+       "2015-11-25  80.410004  130.608292   99.09  134.65  105.41  53.69  60.24  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Dropping NAN's\n",
+    "combined_2 = combined.dropna()\n",
+    "\n",
+    "combined_2.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Creating the file path and reading in Felipe's stock picks\n",
+    "\n",
+    "felipe_data = Path(\"../CSVs/Felipe_Stocks_Final.csv\")\n",
+    "\n",
+    "felipe_df = pd.read_csv(felipe_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Cleaning Felipe's data\n",
+    "felipe_df.dropna(inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>VZ</th>\n",
+       "      <th>MCD</th>\n",
+       "      <th>Close</th>\n",
+       "      <th>CLX</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-01</th>\n",
+       "      <td>42.96</td>\n",
+       "      <td>116.07</td>\n",
+       "      <td>57.48</td>\n",
+       "      <td>115.38</td>\n",
+       "      <td>144.56</td>\n",
+       "      <td>77.93</td>\n",
+       "      <td>295.92</td>\n",
+       "      <td>68.59</td>\n",
+       "      <td>93.17</td>\n",
+       "      <td>116.61</td>\n",
+       "      <td>140.80</td>\n",
+       "      <td>98.58</td>\n",
+       "      <td>98.44</td>\n",
+       "      <td>90.13</td>\n",
+       "      <td>88.38</td>\n",
+       "      <td>96.55</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>42.84</td>\n",
+       "      <td>114.76</td>\n",
+       "      <td>58.08</td>\n",
+       "      <td>116.93</td>\n",
+       "      <td>145.86</td>\n",
+       "      <td>79.48</td>\n",
+       "      <td>303.36</td>\n",
+       "      <td>68.74</td>\n",
+       "      <td>93.93</td>\n",
+       "      <td>118.83</td>\n",
+       "      <td>143.20</td>\n",
+       "      <td>99.38</td>\n",
+       "      <td>99.39</td>\n",
+       "      <td>92.66</td>\n",
+       "      <td>89.74</td>\n",
+       "      <td>98.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>44.00</td>\n",
+       "      <td>115.91</td>\n",
+       "      <td>59.04</td>\n",
+       "      <td>118.38</td>\n",
+       "      <td>148.07</td>\n",
+       "      <td>81.82</td>\n",
+       "      <td>313.61</td>\n",
+       "      <td>70.75</td>\n",
+       "      <td>94.76</td>\n",
+       "      <td>119.65</td>\n",
+       "      <td>146.32</td>\n",
+       "      <td>101.53</td>\n",
+       "      <td>101.62</td>\n",
+       "      <td>94.59</td>\n",
+       "      <td>93.46</td>\n",
+       "      <td>100.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>44.06</td>\n",
+       "      <td>114.45</td>\n",
+       "      <td>58.69</td>\n",
+       "      <td>118.35</td>\n",
+       "      <td>148.41</td>\n",
+       "      <td>82.58</td>\n",
+       "      <td>312.73</td>\n",
+       "      <td>70.63</td>\n",
+       "      <td>93.42</td>\n",
+       "      <td>116.05</td>\n",
+       "      <td>145.79</td>\n",
+       "      <td>101.43</td>\n",
+       "      <td>101.50</td>\n",
+       "      <td>93.40</td>\n",
+       "      <td>93.37</td>\n",
+       "      <td>99.85</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>43.85</td>\n",
+       "      <td>115.25</td>\n",
+       "      <td>58.78</td>\n",
+       "      <td>119.00</td>\n",
+       "      <td>147.96</td>\n",
+       "      <td>83.24</td>\n",
+       "      <td>320.64</td>\n",
+       "      <td>71.98</td>\n",
+       "      <td>94.98</td>\n",
+       "      <td>116.43</td>\n",
+       "      <td>147.54</td>\n",
+       "      <td>102.24</td>\n",
+       "      <td>102.62</td>\n",
+       "      <td>94.31</td>\n",
+       "      <td>94.24</td>\n",
+       "      <td>99.93</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>59.39</td>\n",
+       "      <td>235.28</td>\n",
+       "      <td>84.30</td>\n",
+       "      <td>211.51</td>\n",
+       "      <td>342.58</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>59.36</td>\n",
+       "      <td>224.73</td>\n",
+       "      <td>86.07</td>\n",
+       "      <td>211.97</td>\n",
+       "      <td>349.62</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>59.24</td>\n",
+       "      <td>217.84</td>\n",
+       "      <td>84.80</td>\n",
+       "      <td>210.41</td>\n",
+       "      <td>352.14</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>59.49</td>\n",
+       "      <td>229.94</td>\n",
+       "      <td>85.92</td>\n",
+       "      <td>210.17</td>\n",
+       "      <td>355.00</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>59.45</td>\n",
+       "      <td>227.94</td>\n",
+       "      <td>86.74</td>\n",
+       "      <td>211.65</td>\n",
+       "      <td>358.46</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1260 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               VZ     MCD  Close     CLX    COST    PSX     BLK    TROW  \\\n",
+       "2015-10-01  42.96  116.07  57.48  115.38  144.56  77.93  295.92   68.59   \n",
+       "2015-10-02  42.84  114.76  58.08  116.93  145.86  79.48  303.36   68.74   \n",
+       "2015-10-05  44.00  115.91  59.04  118.38  148.07  81.82  313.61   70.75   \n",
+       "2015-10-06  44.06  114.45  58.69  118.35  148.41  82.58  312.73   70.63   \n",
+       "2015-10-07  43.85  115.25  58.78  119.00  147.96  83.24  320.64   71.98   \n",
+       "...           ...     ...    ...     ...     ...    ...     ...     ...   \n",
+       "2020-09-25  59.39  235.28  84.30  211.51  342.58  52.88  547.81  125.22   \n",
+       "2020-09-28  59.36  224.73  86.07  211.97  349.62  53.98  558.65  128.55   \n",
+       "2020-09-29  59.24  217.84  84.80  210.41  352.14  52.19  554.80  127.49   \n",
+       "2020-09-30  59.49  229.94  85.92  210.17  355.00  51.84  563.55  128.22   \n",
+       "2020-10-01  59.45  227.94  86.74  211.65  358.46  50.28  567.91  128.04   \n",
+       "\n",
+       "               JNJ     UNH     MMM     UPS     ACN     PPG     AMT     NEE  \n",
+       "2015-10-01   93.17  116.61  140.80   98.58   98.44   90.13   88.38   96.55  \n",
+       "2015-10-02   93.93  118.83  143.20   99.38   99.39   92.66   89.74   98.54  \n",
+       "2015-10-05   94.76  119.65  146.32  101.53  101.62   94.59   93.46  100.72  \n",
+       "2015-10-06   93.42  116.05  145.79  101.43  101.50   93.40   93.37   99.85  \n",
+       "2015-10-07   94.98  116.43  147.54  102.24  102.62   94.31   94.24   99.93  \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...  \n",
+       "2020-09-25  145.66  302.50  160.27  166.12  214.63  120.25  239.81  281.82  \n",
+       "2020-09-28  147.11  303.23  161.66  168.90  222.78  121.74  240.00  284.14  \n",
+       "2020-09-29  147.06  304.15  159.81  168.50  224.08  120.33  240.12  283.12  \n",
+       "2020-09-30  148.88  311.77  160.18  166.63  225.99  122.08  241.73  277.56  \n",
+       "2020-10-01  147.32  313.07  158.79  167.65  225.18  121.78  242.15  282.76  \n",
+       "\n",
+       "[1260 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Setting the index \n",
+    "\n",
+    "felipe_df.index=felipe_df.index.date\n",
+    "felipe_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>VZ</th>\n",
+       "      <th>MCD</th>\n",
+       "      <th>SBUX</th>\n",
+       "      <th>CLX</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-01</th>\n",
+       "      <td>42.96</td>\n",
+       "      <td>116.07</td>\n",
+       "      <td>57.48</td>\n",
+       "      <td>115.38</td>\n",
+       "      <td>144.56</td>\n",
+       "      <td>77.93</td>\n",
+       "      <td>295.92</td>\n",
+       "      <td>68.59</td>\n",
+       "      <td>93.17</td>\n",
+       "      <td>116.61</td>\n",
+       "      <td>140.80</td>\n",
+       "      <td>98.58</td>\n",
+       "      <td>98.44</td>\n",
+       "      <td>90.13</td>\n",
+       "      <td>88.38</td>\n",
+       "      <td>96.55</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>42.84</td>\n",
+       "      <td>114.76</td>\n",
+       "      <td>58.08</td>\n",
+       "      <td>116.93</td>\n",
+       "      <td>145.86</td>\n",
+       "      <td>79.48</td>\n",
+       "      <td>303.36</td>\n",
+       "      <td>68.74</td>\n",
+       "      <td>93.93</td>\n",
+       "      <td>118.83</td>\n",
+       "      <td>143.20</td>\n",
+       "      <td>99.38</td>\n",
+       "      <td>99.39</td>\n",
+       "      <td>92.66</td>\n",
+       "      <td>89.74</td>\n",
+       "      <td>98.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>44.00</td>\n",
+       "      <td>115.91</td>\n",
+       "      <td>59.04</td>\n",
+       "      <td>118.38</td>\n",
+       "      <td>148.07</td>\n",
+       "      <td>81.82</td>\n",
+       "      <td>313.61</td>\n",
+       "      <td>70.75</td>\n",
+       "      <td>94.76</td>\n",
+       "      <td>119.65</td>\n",
+       "      <td>146.32</td>\n",
+       "      <td>101.53</td>\n",
+       "      <td>101.62</td>\n",
+       "      <td>94.59</td>\n",
+       "      <td>93.46</td>\n",
+       "      <td>100.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>44.06</td>\n",
+       "      <td>114.45</td>\n",
+       "      <td>58.69</td>\n",
+       "      <td>118.35</td>\n",
+       "      <td>148.41</td>\n",
+       "      <td>82.58</td>\n",
+       "      <td>312.73</td>\n",
+       "      <td>70.63</td>\n",
+       "      <td>93.42</td>\n",
+       "      <td>116.05</td>\n",
+       "      <td>145.79</td>\n",
+       "      <td>101.43</td>\n",
+       "      <td>101.50</td>\n",
+       "      <td>93.40</td>\n",
+       "      <td>93.37</td>\n",
+       "      <td>99.85</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>43.85</td>\n",
+       "      <td>115.25</td>\n",
+       "      <td>58.78</td>\n",
+       "      <td>119.00</td>\n",
+       "      <td>147.96</td>\n",
+       "      <td>83.24</td>\n",
+       "      <td>320.64</td>\n",
+       "      <td>71.98</td>\n",
+       "      <td>94.98</td>\n",
+       "      <td>116.43</td>\n",
+       "      <td>147.54</td>\n",
+       "      <td>102.24</td>\n",
+       "      <td>102.62</td>\n",
+       "      <td>94.31</td>\n",
+       "      <td>94.24</td>\n",
+       "      <td>99.93</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>59.39</td>\n",
+       "      <td>235.28</td>\n",
+       "      <td>84.30</td>\n",
+       "      <td>211.51</td>\n",
+       "      <td>342.58</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>59.36</td>\n",
+       "      <td>224.73</td>\n",
+       "      <td>86.07</td>\n",
+       "      <td>211.97</td>\n",
+       "      <td>349.62</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>59.24</td>\n",
+       "      <td>217.84</td>\n",
+       "      <td>84.80</td>\n",
+       "      <td>210.41</td>\n",
+       "      <td>352.14</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>59.49</td>\n",
+       "      <td>229.94</td>\n",
+       "      <td>85.92</td>\n",
+       "      <td>210.17</td>\n",
+       "      <td>355.00</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>59.45</td>\n",
+       "      <td>227.94</td>\n",
+       "      <td>86.74</td>\n",
+       "      <td>211.65</td>\n",
+       "      <td>358.46</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1260 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               VZ     MCD   SBUX     CLX    COST    PSX     BLK    TROW  \\\n",
+       "2015-10-01  42.96  116.07  57.48  115.38  144.56  77.93  295.92   68.59   \n",
+       "2015-10-02  42.84  114.76  58.08  116.93  145.86  79.48  303.36   68.74   \n",
+       "2015-10-05  44.00  115.91  59.04  118.38  148.07  81.82  313.61   70.75   \n",
+       "2015-10-06  44.06  114.45  58.69  118.35  148.41  82.58  312.73   70.63   \n",
+       "2015-10-07  43.85  115.25  58.78  119.00  147.96  83.24  320.64   71.98   \n",
+       "...           ...     ...    ...     ...     ...    ...     ...     ...   \n",
+       "2020-09-25  59.39  235.28  84.30  211.51  342.58  52.88  547.81  125.22   \n",
+       "2020-09-28  59.36  224.73  86.07  211.97  349.62  53.98  558.65  128.55   \n",
+       "2020-09-29  59.24  217.84  84.80  210.41  352.14  52.19  554.80  127.49   \n",
+       "2020-09-30  59.49  229.94  85.92  210.17  355.00  51.84  563.55  128.22   \n",
+       "2020-10-01  59.45  227.94  86.74  211.65  358.46  50.28  567.91  128.04   \n",
+       "\n",
+       "               JNJ     UNH     MMM     UPS     ACN     PPG     AMT     NEE  \n",
+       "2015-10-01   93.17  116.61  140.80   98.58   98.44   90.13   88.38   96.55  \n",
+       "2015-10-02   93.93  118.83  143.20   99.38   99.39   92.66   89.74   98.54  \n",
+       "2015-10-05   94.76  119.65  146.32  101.53  101.62   94.59   93.46  100.72  \n",
+       "2015-10-06   93.42  116.05  145.79  101.43  101.50   93.40   93.37   99.85  \n",
+       "2015-10-07   94.98  116.43  147.54  102.24  102.62   94.31   94.24   99.93  \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...  \n",
+       "2020-09-25  145.66  302.50  160.27  166.12  214.63  120.25  239.81  281.82  \n",
+       "2020-09-28  147.11  303.23  161.66  168.90  222.78  121.74  240.00  284.14  \n",
+       "2020-09-29  147.06  304.15  159.81  168.50  224.08  120.33  240.12  283.12  \n",
+       "2020-09-30  148.88  311.77  160.18  166.63  225.99  122.08  241.73  277.56  \n",
+       "2020-10-01  147.32  313.07  158.79  167.65  225.18  121.78  242.15  282.76  \n",
+       "\n",
+       "[1260 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Fixing a column name for Felipe's picks \n",
+    "\n",
+    "column_names = felipe_df.columns.values\n",
+    "column_names[2] = 'SBUX'\n",
+    "felipe_df.columns = column_names\n",
+    "\n",
+    "felipe_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>...</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>126.86</td>\n",
+       "      <td>...</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>102.49</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>158.38</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.28</td>\n",
+       "      <td>103.37</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>100.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>130.21</td>\n",
+       "      <td>...</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>102.48</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>158.95</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>104.62</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>101.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>132.50</td>\n",
+       "      <td>...</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>102.77</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>158.65</td>\n",
+       "      <td>103.59</td>\n",
+       "      <td>107.84</td>\n",
+       "      <td>105.47</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>100.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>133.60</td>\n",
+       "      <td>...</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>102.04</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>157.75</td>\n",
+       "      <td>103.40</td>\n",
+       "      <td>107.35</td>\n",
+       "      <td>105.49</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>99.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>134.65</td>\n",
+       "      <td>...</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>101.96</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>157.63</td>\n",
+       "      <td>103.49</td>\n",
+       "      <td>107.10</td>\n",
+       "      <td>106.46</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>98.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>138.210007</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>268.55</td>\n",
+       "      <td>...</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>140.919998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>272.33</td>\n",
+       "      <td>...</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>138.550003</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>272.11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>138.429993</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>277.71</td>\n",
+       "      <td>...</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>138.220001</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>277.62</td>\n",
+       "      <td>...</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 ORCL          SQ        NVDA        BABA        PFE  \\\n",
+       "2015-11-19  36.108597   13.070000   30.458263   77.870003  27.049994   \n",
+       "2015-11-20  36.404728   12.850000   30.722525   79.949997  26.957846   \n",
+       "2015-11-23  36.219639   12.120000   30.262524   81.309998  26.245783   \n",
+       "2015-11-24  36.515770   12.020000   30.507206   80.860001  26.781923   \n",
+       "2015-11-25  36.330700   11.900000   30.468054   81.709999  27.535873   \n",
+       "...               ...         ...         ...         ...        ...   \n",
+       "2020-09-25  59.799999  157.720001  514.950012  271.089996  36.049999   \n",
+       "2020-09-28  59.580002  160.759995  521.400024  276.010010  36.389999   \n",
+       "2020-09-29  59.470001  164.809998  529.030029  276.929993  36.169998   \n",
+       "2020-09-30  59.700001  162.550003  541.219971  293.980011  36.700001   \n",
+       "2020-10-01  59.680000  168.490005  544.580017  290.049988  36.369999   \n",
+       "\n",
+       "                  NFLX         CRM          GD     AMT      HD  ...     BLK  \\\n",
+       "2015-11-19  120.220001   80.639999  130.626297   99.63  126.86  ...  359.09   \n",
+       "2015-11-20  123.839996   80.989998  130.896194  100.49  130.21  ...  362.46   \n",
+       "2015-11-23  125.029999   80.779999  130.077530   99.94  132.50  ...  363.25   \n",
+       "2015-11-24  123.309998   80.389999  130.923172   99.26  133.60  ...  356.81   \n",
+       "2015-11-25  124.160004   80.410004  130.608292   99.09  134.65  ...  360.62   \n",
+       "...                ...         ...         ...     ...     ...  ...     ...   \n",
+       "2020-09-25  482.880005  242.740005  138.210007  239.81  268.55  ...  547.81   \n",
+       "2020-09-28  490.649994  246.669998  140.919998  240.00  272.33  ...  558.65   \n",
+       "2020-09-29  493.480011  247.449997  138.550003  240.12  272.11  ...  554.80   \n",
+       "2020-09-30  500.029999  251.320007  138.429993  241.73  277.71  ...  563.55   \n",
+       "2020-10-01  527.510010  253.449997  138.220001  242.15  277.62  ...  567.91   \n",
+       "\n",
+       "              TROW     JNJ     UNH     MMM     UPS     ACN     PPG     AMT  \\\n",
+       "2015-11-19   76.38  102.49  110.63  158.38  104.10  107.28  103.37   99.63   \n",
+       "2015-11-20   76.37  102.48  112.97  158.95  104.10  107.97  104.62  100.49   \n",
+       "2015-11-23   76.15  102.77  112.16  158.65  103.59  107.84  105.47   99.94   \n",
+       "2015-11-24   75.62  102.04  113.19  157.75  103.40  107.35  105.49   99.26   \n",
+       "2015-11-25   76.01  101.96  114.41  157.63  103.49  107.10  106.46   99.09   \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...   \n",
+       "2020-09-25  125.22  145.66  302.50  160.27  166.12  214.63  120.25  239.81   \n",
+       "2020-09-28  128.55  147.11  303.23  161.66  168.90  222.78  121.74  240.00   \n",
+       "2020-09-29  127.49  147.06  304.15  159.81  168.50  224.08  120.33  240.12   \n",
+       "2020-09-30  128.22  148.88  311.77  160.18  166.63  225.99  122.08  241.73   \n",
+       "2020-10-01  128.04  147.32  313.07  158.79  167.65  225.18  121.78  242.15   \n",
+       "\n",
+       "               NEE  \n",
+       "2015-11-19  100.99  \n",
+       "2015-11-20  101.02  \n",
+       "2015-11-23  100.49  \n",
+       "2015-11-24   99.41  \n",
+       "2015-11-25   98.88  \n",
+       "...            ...  \n",
+       "2020-09-25  281.82  \n",
+       "2020-09-28  284.14  \n",
+       "2020-09-29  283.12  \n",
+       "2020-09-30  277.56  \n",
+       "2020-10-01  282.76  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Combining all of our df's to create one master df from where we will decide which stocks we chose\n",
+    "\n",
+    "combined_2 = pd.concat([eve_df, eren_df, phil_df, felipe_df], axis='columns', join='outer')\n",
+    "combined_2.dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Index(['ORCL', 'SQ', 'NVDA', 'BABA', 'PFE', 'NFLX', 'CRM', 'GD', 'AMT', 'HD',\n",
+      "       'FB', 'MSFT', 'WMT', 'VZ', 'MCD', 'SBUX', 'CLX', 'COST', 'PSX', 'BLK',\n",
+      "       'TROW', 'JNJ', 'UNH', 'MMM', 'UPS', 'ACN', 'PPG', 'AMT', 'NEE'],\n",
+      "      dtype='object')\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Just a sanity check to see all the column names to ensure that we got everything\n",
+    "\n",
+    "print(combined_2.columns)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Inital Data Calculations of All the Potential Stocks for Our Portfolio"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculate Daily Returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>...</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.002066</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>0.026407</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>-0.000098</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.003599</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.006432</td>\n",
+       "      <td>0.012092</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>0.000297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.006254</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>0.017587</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>0.002830</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>-0.001887</td>\n",
+       "      <td>-0.004899</td>\n",
+       "      <td>-0.001204</td>\n",
+       "      <td>0.008125</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>-0.005246</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>0.006501</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>0.008302</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>-0.007103</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>-0.005673</td>\n",
+       "      <td>-0.001834</td>\n",
+       "      <td>-0.004544</td>\n",
+       "      <td>0.000190</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>-0.010747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.002405</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>0.007859</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>-0.000784</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>-0.000761</td>\n",
+       "      <td>0.000870</td>\n",
+       "      <td>-0.002329</td>\n",
+       "      <td>0.009195</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>-0.005331</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.002617</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>0.000668</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>0.004021</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>0.002284</td>\n",
+       "      <td>0.006667</td>\n",
+       "      <td>0.003361</td>\n",
+       "      <td>-0.002348</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>0.004956</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>-0.003679</td>\n",
+       "      <td>0.019275</td>\n",
+       "      <td>0.012526</td>\n",
+       "      <td>0.018149</td>\n",
+       "      <td>0.009431</td>\n",
+       "      <td>0.016091</td>\n",
+       "      <td>0.016190</td>\n",
+       "      <td>0.019608</td>\n",
+       "      <td>0.000792</td>\n",
+       "      <td>0.014076</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.019788</td>\n",
+       "      <td>0.026593</td>\n",
+       "      <td>0.009955</td>\n",
+       "      <td>0.002413</td>\n",
+       "      <td>0.008673</td>\n",
+       "      <td>0.016735</td>\n",
+       "      <td>0.037972</td>\n",
+       "      <td>0.012391</td>\n",
+       "      <td>0.000792</td>\n",
+       "      <td>0.008232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.001846</td>\n",
+       "      <td>0.025193</td>\n",
+       "      <td>0.014634</td>\n",
+       "      <td>0.003333</td>\n",
+       "      <td>-0.006046</td>\n",
+       "      <td>0.005768</td>\n",
+       "      <td>0.003162</td>\n",
+       "      <td>-0.016818</td>\n",
+       "      <td>0.000500</td>\n",
+       "      <td>-0.000808</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.006892</td>\n",
+       "      <td>-0.008246</td>\n",
+       "      <td>-0.000340</td>\n",
+       "      <td>0.003034</td>\n",
+       "      <td>-0.011444</td>\n",
+       "      <td>-0.002368</td>\n",
+       "      <td>0.005835</td>\n",
+       "      <td>-0.011582</td>\n",
+       "      <td>0.000500</td>\n",
+       "      <td>-0.003590</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.003867</td>\n",
+       "      <td>-0.013713</td>\n",
+       "      <td>0.023042</td>\n",
+       "      <td>0.061568</td>\n",
+       "      <td>0.014653</td>\n",
+       "      <td>0.013273</td>\n",
+       "      <td>0.015640</td>\n",
+       "      <td>-0.000866</td>\n",
+       "      <td>0.006705</td>\n",
+       "      <td>0.020580</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.015771</td>\n",
+       "      <td>0.005726</td>\n",
+       "      <td>0.012376</td>\n",
+       "      <td>0.025053</td>\n",
+       "      <td>0.002315</td>\n",
+       "      <td>-0.011098</td>\n",
+       "      <td>0.008524</td>\n",
+       "      <td>0.014543</td>\n",
+       "      <td>0.006705</td>\n",
+       "      <td>-0.019638</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>-0.000335</td>\n",
+       "      <td>0.036543</td>\n",
+       "      <td>0.006208</td>\n",
+       "      <td>-0.013368</td>\n",
+       "      <td>-0.008992</td>\n",
+       "      <td>0.054957</td>\n",
+       "      <td>0.008475</td>\n",
+       "      <td>-0.001517</td>\n",
+       "      <td>0.001737</td>\n",
+       "      <td>-0.000324</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.007737</td>\n",
+       "      <td>-0.001404</td>\n",
+       "      <td>-0.010478</td>\n",
+       "      <td>0.004170</td>\n",
+       "      <td>-0.008678</td>\n",
+       "      <td>0.006121</td>\n",
+       "      <td>-0.003584</td>\n",
+       "      <td>-0.002457</td>\n",
+       "      <td>0.001737</td>\n",
+       "      <td>0.018735</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-02</th>\n",
+       "      <td>-0.014243</td>\n",
+       "      <td>0.006647</td>\n",
+       "      <td>-0.040563</td>\n",
+       "      <td>-0.006482</td>\n",
+       "      <td>0.000275</td>\n",
+       "      <td>-0.046350</td>\n",
+       "      <td>-0.022095</td>\n",
+       "      <td>0.016423</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                ORCL        SQ      NVDA      BABA       PFE      NFLX  \\\n",
+       "2015-11-20  0.008201 -0.016832  0.008676  0.026711 -0.003407  0.030111   \n",
+       "2015-11-23 -0.005084 -0.056809 -0.014973  0.017011 -0.026414  0.009609   \n",
+       "2015-11-24  0.008176 -0.008251  0.008085 -0.005534  0.020428 -0.013757   \n",
+       "2015-11-25 -0.005068 -0.009983 -0.001283  0.010512  0.028151  0.006893   \n",
+       "2015-11-27 -0.002038  0.012605  0.008352 -0.004039 -0.002434  0.010309   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-28 -0.003679  0.019275  0.012526  0.018149  0.009431  0.016091   \n",
+       "2020-09-29 -0.001846  0.025193  0.014634  0.003333 -0.006046  0.005768   \n",
+       "2020-09-30  0.003867 -0.013713  0.023042  0.061568  0.014653  0.013273   \n",
+       "2020-10-01 -0.000335  0.036543  0.006208 -0.013368 -0.008992  0.054957   \n",
+       "2020-10-02 -0.014243  0.006647 -0.040563 -0.006482  0.000275 -0.046350   \n",
+       "\n",
+       "                 CRM        GD       AMT        HD  ...       BLK      TROW  \\\n",
+       "2015-11-20  0.004340  0.002066  0.008632  0.026407  ...  0.009385 -0.000131   \n",
+       "2015-11-23 -0.002593 -0.006254 -0.005473  0.017587  ...  0.002180 -0.002881   \n",
+       "2015-11-24 -0.004828  0.006501 -0.006804  0.008302  ... -0.017729 -0.006960   \n",
+       "2015-11-25  0.000249 -0.002405 -0.001713  0.007859  ...  0.010678  0.005157   \n",
+       "2015-11-27 -0.005472  0.002617  0.005954  0.000668  ... -0.006184 -0.000789   \n",
+       "...              ...       ...       ...       ...  ...       ...       ...   \n",
+       "2020-09-28  0.016190  0.019608  0.000792  0.014076  ...  0.019788  0.026593   \n",
+       "2020-09-29  0.003162 -0.016818  0.000500 -0.000808  ... -0.006892 -0.008246   \n",
+       "2020-09-30  0.015640 -0.000866  0.006705  0.020580  ...  0.015771  0.005726   \n",
+       "2020-10-01  0.008475 -0.001517  0.001737 -0.000324  ...  0.007737 -0.001404   \n",
+       "2020-10-02 -0.022095  0.016423  0.000000  0.000000  ...  0.000000  0.000000   \n",
+       "\n",
+       "                 JNJ       UNH       MMM       UPS       ACN       PPG  \\\n",
+       "2015-11-20 -0.000098  0.021152  0.003599  0.000000  0.006432  0.012092   \n",
+       "2015-11-23  0.002830 -0.007170 -0.001887 -0.004899 -0.001204  0.008125   \n",
+       "2015-11-24 -0.007103  0.009183 -0.005673 -0.001834 -0.004544  0.000190   \n",
+       "2015-11-25 -0.000784  0.010778 -0.000761  0.000870 -0.002329  0.009195   \n",
+       "2015-11-27  0.004021 -0.000612  0.002284  0.006667  0.003361 -0.002348   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-28  0.009955  0.002413  0.008673  0.016735  0.037972  0.012391   \n",
+       "2020-09-29 -0.000340  0.003034 -0.011444 -0.002368  0.005835 -0.011582   \n",
+       "2020-09-30  0.012376  0.025053  0.002315 -0.011098  0.008524  0.014543   \n",
+       "2020-10-01 -0.010478  0.004170 -0.008678  0.006121 -0.003584 -0.002457   \n",
+       "2020-10-02  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
+       "\n",
+       "                 AMT       NEE  \n",
+       "2015-11-20  0.008632  0.000297  \n",
+       "2015-11-23 -0.005473 -0.005246  \n",
+       "2015-11-24 -0.006804 -0.010747  \n",
+       "2015-11-25 -0.001713 -0.005331  \n",
+       "2015-11-27  0.005954  0.004956  \n",
+       "...              ...       ...  \n",
+       "2020-09-28  0.000792  0.008232  \n",
+       "2020-09-29  0.000500 -0.003590  \n",
+       "2020-09-30  0.006705 -0.019638  \n",
+       "2020-10-01  0.001737  0.018735  \n",
+       "2020-10-02  0.000000  0.000000  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Calculating the daily returns for each stock\n",
+    "\n",
+    "portfolio_daily=combined_2.pct_change()\n",
+    "\n",
+    "portfolio_daily.dropna()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculating Cumulative Returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>...</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.250587</td>\n",
+       "      <td>-0.031071</td>\n",
+       "      <td>0.113169</td>\n",
+       "      <td>0.075993</td>\n",
+       "      <td>0.014552</td>\n",
+       "      <td>0.119791</td>\n",
+       "      <td>0.105254</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.224858</td>\n",
+       "      <td>0.113428</td>\n",
+       "      <td>0.099925</td>\n",
+       "      <td>-0.031215</td>\n",
+       "      <td>0.128906</td>\n",
+       "      <td>0.055995</td>\n",
+       "      <td>0.096810</td>\n",
+       "      <td>0.160768</td>\n",
+       "      <td>0.137022</td>\n",
+       "      <td>0.046297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>0.003075</td>\n",
+       "      <td>-0.072686</td>\n",
+       "      <td>-0.006426</td>\n",
+       "      <td>0.271860</td>\n",
+       "      <td>-0.056664</td>\n",
+       "      <td>0.123865</td>\n",
+       "      <td>0.073203</td>\n",
+       "      <td>0.008207</td>\n",
+       "      <td>0.113662</td>\n",
+       "      <td>0.124692</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.227528</td>\n",
+       "      <td>0.110220</td>\n",
+       "      <td>0.103037</td>\n",
+       "      <td>-0.038161</td>\n",
+       "      <td>0.126776</td>\n",
+       "      <td>0.050822</td>\n",
+       "      <td>0.095490</td>\n",
+       "      <td>0.170199</td>\n",
+       "      <td>0.130799</td>\n",
+       "      <td>0.040808</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.011276</td>\n",
+       "      <td>-0.080337</td>\n",
+       "      <td>0.001607</td>\n",
+       "      <td>0.264821</td>\n",
+       "      <td>-0.037394</td>\n",
+       "      <td>0.108404</td>\n",
+       "      <td>0.068022</td>\n",
+       "      <td>0.014762</td>\n",
+       "      <td>0.106084</td>\n",
+       "      <td>0.134029</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.205765</td>\n",
+       "      <td>0.102493</td>\n",
+       "      <td>0.095202</td>\n",
+       "      <td>-0.029329</td>\n",
+       "      <td>0.120384</td>\n",
+       "      <td>0.048894</td>\n",
+       "      <td>0.090512</td>\n",
+       "      <td>0.170421</td>\n",
+       "      <td>0.123105</td>\n",
+       "      <td>0.029622</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>0.006151</td>\n",
+       "      <td>-0.089518</td>\n",
+       "      <td>0.000321</td>\n",
+       "      <td>0.278117</td>\n",
+       "      <td>-0.010295</td>\n",
+       "      <td>0.116045</td>\n",
+       "      <td>0.068288</td>\n",
+       "      <td>0.012321</td>\n",
+       "      <td>0.104190</td>\n",
+       "      <td>0.142942</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.218640</td>\n",
+       "      <td>0.108179</td>\n",
+       "      <td>0.094344</td>\n",
+       "      <td>-0.018866</td>\n",
+       "      <td>0.119531</td>\n",
+       "      <td>0.049807</td>\n",
+       "      <td>0.087972</td>\n",
+       "      <td>0.181183</td>\n",
+       "      <td>0.121181</td>\n",
+       "      <td>0.024133</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.004101</td>\n",
+       "      <td>-0.078041</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.272955</td>\n",
+       "      <td>-0.012704</td>\n",
+       "      <td>0.127551</td>\n",
+       "      <td>0.062442</td>\n",
+       "      <td>0.014970</td>\n",
+       "      <td>0.110764</td>\n",
+       "      <td>0.143706</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.211104</td>\n",
+       "      <td>0.107304</td>\n",
+       "      <td>0.098744</td>\n",
+       "      <td>-0.019467</td>\n",
+       "      <td>0.122088</td>\n",
+       "      <td>0.056807</td>\n",
+       "      <td>0.091629</td>\n",
+       "      <td>0.178409</td>\n",
+       "      <td>0.127857</td>\n",
+       "      <td>0.029208</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.650023</td>\n",
+       "      <td>11.299923</td>\n",
+       "      <td>16.118508</td>\n",
+       "      <td>3.317379</td>\n",
+       "      <td>0.307943</td>\n",
+       "      <td>3.410337</td>\n",
+       "      <td>2.277136</td>\n",
+       "      <td>0.092245</td>\n",
+       "      <td>1.674393</td>\n",
+       "      <td>1.311603</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.887841</td>\n",
+       "      <td>0.874180</td>\n",
+       "      <td>0.578942</td>\n",
+       "      <td>1.600377</td>\n",
+       "      <td>0.148153</td>\n",
+       "      <td>0.713329</td>\n",
+       "      <td>1.263104</td>\n",
+       "      <td>0.350716</td>\n",
+       "      <td>1.715547</td>\n",
+       "      <td>1.942931</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>0.646976</td>\n",
+       "      <td>11.609793</td>\n",
+       "      <td>16.369015</td>\n",
+       "      <td>3.331769</td>\n",
+       "      <td>0.300036</td>\n",
+       "      <td>3.435775</td>\n",
+       "      <td>2.287498</td>\n",
+       "      <td>0.073876</td>\n",
+       "      <td>1.675730</td>\n",
+       "      <td>1.309736</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.874831</td>\n",
+       "      <td>0.858726</td>\n",
+       "      <td>0.578405</td>\n",
+       "      <td>1.608267</td>\n",
+       "      <td>0.135014</td>\n",
+       "      <td>0.709272</td>\n",
+       "      <td>1.276310</td>\n",
+       "      <td>0.335072</td>\n",
+       "      <td>1.716904</td>\n",
+       "      <td>1.932367</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.653346</td>\n",
+       "      <td>11.436879</td>\n",
+       "      <td>16.769233</td>\n",
+       "      <td>3.598467</td>\n",
+       "      <td>0.319085</td>\n",
+       "      <td>3.494652</td>\n",
+       "      <td>2.338913</td>\n",
+       "      <td>0.072946</td>\n",
+       "      <td>1.693671</td>\n",
+       "      <td>1.357270</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.904400</td>\n",
+       "      <td>0.869369</td>\n",
+       "      <td>0.597939</td>\n",
+       "      <td>1.673613</td>\n",
+       "      <td>0.137642</td>\n",
+       "      <td>0.690302</td>\n",
+       "      <td>1.295713</td>\n",
+       "      <td>0.354488</td>\n",
+       "      <td>1.735121</td>\n",
+       "      <td>1.874780</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.652792</td>\n",
+       "      <td>11.891355</td>\n",
+       "      <td>16.879549</td>\n",
+       "      <td>3.536993</td>\n",
+       "      <td>0.307224</td>\n",
+       "      <td>3.741663</td>\n",
+       "      <td>2.367211</td>\n",
+       "      <td>0.071318</td>\n",
+       "      <td>1.698351</td>\n",
+       "      <td>1.356506</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.919134</td>\n",
+       "      <td>0.866744</td>\n",
+       "      <td>0.581196</td>\n",
+       "      <td>1.684761</td>\n",
+       "      <td>0.127770</td>\n",
+       "      <td>0.700649</td>\n",
+       "      <td>1.287485</td>\n",
+       "      <td>0.351159</td>\n",
+       "      <td>1.739873</td>\n",
+       "      <td>1.928638</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-02</th>\n",
+       "      <td>0.629252</td>\n",
+       "      <td>11.977047</td>\n",
+       "      <td>16.154294</td>\n",
+       "      <td>3.507587</td>\n",
+       "      <td>0.307584</td>\n",
+       "      <td>3.521888</td>\n",
+       "      <td>2.292813</td>\n",
+       "      <td>0.088912</td>\n",
+       "      <td>1.698351</td>\n",
+       "      <td>1.356506</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.919134</td>\n",
+       "      <td>0.866744</td>\n",
+       "      <td>0.581196</td>\n",
+       "      <td>1.684761</td>\n",
+       "      <td>0.127770</td>\n",
+       "      <td>0.700649</td>\n",
+       "      <td>1.287485</td>\n",
+       "      <td>0.351159</td>\n",
+       "      <td>1.739873</td>\n",
+       "      <td>1.928638</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                ORCL         SQ       NVDA      BABA       PFE      NFLX  \\\n",
+       "2015-11-20  0.008201  -0.016832   0.008676  0.250587 -0.031071  0.113169   \n",
+       "2015-11-23  0.003075  -0.072686  -0.006426  0.271860 -0.056664  0.123865   \n",
+       "2015-11-24  0.011276  -0.080337   0.001607  0.264821 -0.037394  0.108404   \n",
+       "2015-11-25  0.006151  -0.089518   0.000321  0.278117 -0.010295  0.116045   \n",
+       "2015-11-27  0.004101  -0.078041   0.008676  0.272955 -0.012704  0.127551   \n",
+       "...              ...        ...        ...       ...       ...       ...   \n",
+       "2020-09-28  0.650023  11.299923  16.118508  3.317379  0.307943  3.410337   \n",
+       "2020-09-29  0.646976  11.609793  16.369015  3.331769  0.300036  3.435775   \n",
+       "2020-09-30  0.653346  11.436879  16.769233  3.598467  0.319085  3.494652   \n",
+       "2020-10-01  0.652792  11.891355  16.879549  3.536993  0.307224  3.741663   \n",
+       "2020-10-02  0.629252  11.977047  16.154294  3.507587  0.307584  3.521888   \n",
+       "\n",
+       "                 CRM        GD       AMT        HD  ...       BLK      TROW  \\\n",
+       "2015-11-20  0.075993  0.014552  0.119791  0.105254  ...  0.224858  0.113428   \n",
+       "2015-11-23  0.073203  0.008207  0.113662  0.124692  ...  0.227528  0.110220   \n",
+       "2015-11-24  0.068022  0.014762  0.106084  0.134029  ...  0.205765  0.102493   \n",
+       "2015-11-25  0.068288  0.012321  0.104190  0.142942  ...  0.218640  0.108179   \n",
+       "2015-11-27  0.062442  0.014970  0.110764  0.143706  ...  0.211104  0.107304   \n",
+       "...              ...       ...       ...       ...  ...       ...       ...   \n",
+       "2020-09-28  2.277136  0.092245  1.674393  1.311603  ...  0.887841  0.874180   \n",
+       "2020-09-29  2.287498  0.073876  1.675730  1.309736  ...  0.874831  0.858726   \n",
+       "2020-09-30  2.338913  0.072946  1.693671  1.357270  ...  0.904400  0.869369   \n",
+       "2020-10-01  2.367211  0.071318  1.698351  1.356506  ...  0.919134  0.866744   \n",
+       "2020-10-02  2.292813  0.088912  1.698351  1.356506  ...  0.919134  0.866744   \n",
+       "\n",
+       "                 JNJ       UNH       MMM       UPS       ACN       PPG  \\\n",
+       "2015-11-20  0.099925 -0.031215  0.128906  0.055995  0.096810  0.160768   \n",
+       "2015-11-23  0.103037 -0.038161  0.126776  0.050822  0.095490  0.170199   \n",
+       "2015-11-24  0.095202 -0.029329  0.120384  0.048894  0.090512  0.170421   \n",
+       "2015-11-25  0.094344 -0.018866  0.119531  0.049807  0.087972  0.181183   \n",
+       "2015-11-27  0.098744 -0.019467  0.122088  0.056807  0.091629  0.178409   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-28  0.578942  1.600377  0.148153  0.713329  1.263104  0.350716   \n",
+       "2020-09-29  0.578405  1.608267  0.135014  0.709272  1.276310  0.335072   \n",
+       "2020-09-30  0.597939  1.673613  0.137642  0.690302  1.295713  0.354488   \n",
+       "2020-10-01  0.581196  1.684761  0.127770  0.700649  1.287485  0.351159   \n",
+       "2020-10-02  0.581196  1.684761  0.127770  0.700649  1.287485  0.351159   \n",
+       "\n",
+       "                 AMT       NEE  \n",
+       "2015-11-20  0.137022  0.046297  \n",
+       "2015-11-23  0.130799  0.040808  \n",
+       "2015-11-24  0.123105  0.029622  \n",
+       "2015-11-25  0.121181  0.024133  \n",
+       "2015-11-27  0.127857  0.029208  \n",
+       "...              ...       ...  \n",
+       "2020-09-28  1.715547  1.942931  \n",
+       "2020-09-29  1.716904  1.932367  \n",
+       "2020-09-30  1.735121  1.874780  \n",
+       "2020-10-01  1.739873  1.928638  \n",
+       "2020-10-02  1.739873  1.928638  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Calculating each stocks cumulative return\n",
+    "\n",
+    "portfolio_cumulative = (portfolio_daily + 1).cumprod() -1 \n",
+    "portfolio_cumulative.dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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\n",
+      "text/plain": [
+       "<Figure size 2160x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "portfolio_cumulative.plot(figsize=(30,10));"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Correlation analysis of all potential stock choices"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>...</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.386744</td>\n",
+       "      <td>0.441040</td>\n",
+       "      <td>0.401531</td>\n",
+       "      <td>0.489490</td>\n",
+       "      <td>0.369383</td>\n",
+       "      <td>0.519998</td>\n",
+       "      <td>0.490317</td>\n",
+       "      <td>0.449187</td>\n",
+       "      <td>0.541530</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.574601</td>\n",
+       "      <td>0.618375</td>\n",
+       "      <td>0.499836</td>\n",
+       "      <td>0.462228</td>\n",
+       "      <td>0.493810</td>\n",
+       "      <td>0.487802</td>\n",
+       "      <td>0.591072</td>\n",
+       "      <td>0.465568</td>\n",
+       "      <td>0.449187</td>\n",
+       "      <td>0.396957</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>0.386744</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.497101</td>\n",
+       "      <td>0.435190</td>\n",
+       "      <td>0.266796</td>\n",
+       "      <td>0.406201</td>\n",
+       "      <td>0.522451</td>\n",
+       "      <td>0.352647</td>\n",
+       "      <td>0.308885</td>\n",
+       "      <td>0.450279</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.431928</td>\n",
+       "      <td>0.409611</td>\n",
+       "      <td>0.242860</td>\n",
+       "      <td>0.378159</td>\n",
+       "      <td>0.319524</td>\n",
+       "      <td>0.333834</td>\n",
+       "      <td>0.459690</td>\n",
+       "      <td>0.371524</td>\n",
+       "      <td>0.308885</td>\n",
+       "      <td>0.277866</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.441040</td>\n",
+       "      <td>0.497101</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.511186</td>\n",
+       "      <td>0.302716</td>\n",
+       "      <td>0.434059</td>\n",
+       "      <td>0.518649</td>\n",
+       "      <td>0.380077</td>\n",
+       "      <td>0.317052</td>\n",
+       "      <td>0.498054</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.480133</td>\n",
+       "      <td>0.445971</td>\n",
+       "      <td>0.321436</td>\n",
+       "      <td>0.409679</td>\n",
+       "      <td>0.428520</td>\n",
+       "      <td>0.394518</td>\n",
+       "      <td>0.482080</td>\n",
+       "      <td>0.381444</td>\n",
+       "      <td>0.317052</td>\n",
+       "      <td>0.273752</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.401531</td>\n",
+       "      <td>0.435190</td>\n",
+       "      <td>0.511186</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.277702</td>\n",
+       "      <td>0.418695</td>\n",
+       "      <td>0.458691</td>\n",
+       "      <td>0.353640</td>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.363652</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.453907</td>\n",
+       "      <td>0.409393</td>\n",
+       "      <td>0.287651</td>\n",
+       "      <td>0.319669</td>\n",
+       "      <td>0.368989</td>\n",
+       "      <td>0.345112</td>\n",
+       "      <td>0.444501</td>\n",
+       "      <td>0.384659</td>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.164492</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.489490</td>\n",
+       "      <td>0.266796</td>\n",
+       "      <td>0.302716</td>\n",
+       "      <td>0.277702</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.241524</td>\n",
+       "      <td>0.340086</td>\n",
+       "      <td>0.465807</td>\n",
+       "      <td>0.423415</td>\n",
+       "      <td>0.465854</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.499860</td>\n",
+       "      <td>0.528240</td>\n",
+       "      <td>0.601188</td>\n",
+       "      <td>0.506645</td>\n",
+       "      <td>0.467451</td>\n",
+       "      <td>0.418580</td>\n",
+       "      <td>0.472509</td>\n",
+       "      <td>0.392016</td>\n",
+       "      <td>0.423415</td>\n",
+       "      <td>0.401200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NFLX</th>\n",
+       "      <td>0.369383</td>\n",
+       "      <td>0.406201</td>\n",
+       "      <td>0.434059</td>\n",
+       "      <td>0.418695</td>\n",
+       "      <td>0.241524</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.505363</td>\n",
+       "      <td>0.265991</td>\n",
+       "      <td>0.221568</td>\n",
+       "      <td>0.356067</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.339315</td>\n",
+       "      <td>0.328485</td>\n",
+       "      <td>0.227223</td>\n",
+       "      <td>0.333898</td>\n",
+       "      <td>0.265286</td>\n",
+       "      <td>0.298567</td>\n",
+       "      <td>0.378506</td>\n",
+       "      <td>0.232731</td>\n",
+       "      <td>0.221568</td>\n",
+       "      <td>0.143194</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CRM</th>\n",
+       "      <td>0.519998</td>\n",
+       "      <td>0.522451</td>\n",
+       "      <td>0.518649</td>\n",
+       "      <td>0.458691</td>\n",
+       "      <td>0.340086</td>\n",
+       "      <td>0.505363</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.390874</td>\n",
+       "      <td>0.385879</td>\n",
+       "      <td>0.533370</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.515605</td>\n",
+       "      <td>0.481745</td>\n",
+       "      <td>0.353272</td>\n",
+       "      <td>0.415288</td>\n",
+       "      <td>0.381264</td>\n",
+       "      <td>0.360945</td>\n",
+       "      <td>0.570354</td>\n",
+       "      <td>0.395594</td>\n",
+       "      <td>0.385879</td>\n",
+       "      <td>0.296409</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>GD</th>\n",
+       "      <td>0.490317</td>\n",
+       "      <td>0.352647</td>\n",
+       "      <td>0.380077</td>\n",
+       "      <td>0.353640</td>\n",
+       "      <td>0.465807</td>\n",
+       "      <td>0.265991</td>\n",
+       "      <td>0.390874</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.436078</td>\n",
+       "      <td>0.559862</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.629273</td>\n",
+       "      <td>0.636208</td>\n",
+       "      <td>0.466839</td>\n",
+       "      <td>0.505194</td>\n",
+       "      <td>0.614054</td>\n",
+       "      <td>0.491739</td>\n",
+       "      <td>0.587317</td>\n",
+       "      <td>0.581177</td>\n",
+       "      <td>0.436078</td>\n",
+       "      <td>0.421907</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.449187</td>\n",
+       "      <td>0.308885</td>\n",
+       "      <td>0.317052</td>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.423415</td>\n",
+       "      <td>0.221568</td>\n",
+       "      <td>0.385879</td>\n",
+       "      <td>0.436078</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.489816</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.491120</td>\n",
+       "      <td>0.455302</td>\n",
+       "      <td>0.494270</td>\n",
+       "      <td>0.457972</td>\n",
+       "      <td>0.380347</td>\n",
+       "      <td>0.363920</td>\n",
+       "      <td>0.543790</td>\n",
+       "      <td>0.409436</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.634955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HD</th>\n",
+       "      <td>0.541530</td>\n",
+       "      <td>0.450279</td>\n",
+       "      <td>0.498054</td>\n",
+       "      <td>0.363652</td>\n",
+       "      <td>0.465854</td>\n",
+       "      <td>0.356067</td>\n",
+       "      <td>0.533370</td>\n",
+       "      <td>0.559862</td>\n",
+       "      <td>0.489816</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.637971</td>\n",
+       "      <td>0.580171</td>\n",
+       "      <td>0.455737</td>\n",
+       "      <td>0.547612</td>\n",
+       "      <td>0.540329</td>\n",
+       "      <td>0.496744</td>\n",
+       "      <td>0.653681</td>\n",
+       "      <td>0.565035</td>\n",
+       "      <td>0.489816</td>\n",
+       "      <td>0.469551</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FB</th>\n",
+       "      <td>0.457207</td>\n",
+       "      <td>0.436792</td>\n",
+       "      <td>0.483011</td>\n",
+       "      <td>0.468335</td>\n",
+       "      <td>0.327248</td>\n",
+       "      <td>0.462900</td>\n",
+       "      <td>0.556916</td>\n",
+       "      <td>0.347316</td>\n",
+       "      <td>0.354748</td>\n",
+       "      <td>0.476309</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.451528</td>\n",
+       "      <td>0.463039</td>\n",
+       "      <td>0.338963</td>\n",
+       "      <td>0.395071</td>\n",
+       "      <td>0.363871</td>\n",
+       "      <td>0.367420</td>\n",
+       "      <td>0.514883</td>\n",
+       "      <td>0.355301</td>\n",
+       "      <td>0.354748</td>\n",
+       "      <td>0.286661</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>0.646610</td>\n",
+       "      <td>0.543723</td>\n",
+       "      <td>0.605289</td>\n",
+       "      <td>0.542734</td>\n",
+       "      <td>0.480834</td>\n",
+       "      <td>0.513766</td>\n",
+       "      <td>0.679617</td>\n",
+       "      <td>0.493368</td>\n",
+       "      <td>0.491629</td>\n",
+       "      <td>0.619985</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.637154</td>\n",
+       "      <td>0.611672</td>\n",
+       "      <td>0.513232</td>\n",
+       "      <td>0.549118</td>\n",
+       "      <td>0.508484</td>\n",
+       "      <td>0.473321</td>\n",
+       "      <td>0.697806</td>\n",
+       "      <td>0.483476</td>\n",
+       "      <td>0.491629</td>\n",
+       "      <td>0.427397</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>WMT</th>\n",
+       "      <td>0.395824</td>\n",
+       "      <td>0.187869</td>\n",
+       "      <td>0.277678</td>\n",
+       "      <td>0.184256</td>\n",
+       "      <td>0.362778</td>\n",
+       "      <td>0.241783</td>\n",
+       "      <td>0.257522</td>\n",
+       "      <td>0.291778</td>\n",
+       "      <td>0.342883</td>\n",
+       "      <td>0.403235</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.324932</td>\n",
+       "      <td>0.396691</td>\n",
+       "      <td>0.394233</td>\n",
+       "      <td>0.329164</td>\n",
+       "      <td>0.312359</td>\n",
+       "      <td>0.344849</td>\n",
+       "      <td>0.357891</td>\n",
+       "      <td>0.214233</td>\n",
+       "      <td>0.342883</td>\n",
+       "      <td>0.353807</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>VZ</th>\n",
+       "      <td>0.386715</td>\n",
+       "      <td>0.139475</td>\n",
+       "      <td>0.207015</td>\n",
+       "      <td>0.157489</td>\n",
+       "      <td>0.420016</td>\n",
+       "      <td>0.130550</td>\n",
+       "      <td>0.223956</td>\n",
+       "      <td>0.384066</td>\n",
+       "      <td>0.422333</td>\n",
+       "      <td>0.407158</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.394041</td>\n",
+       "      <td>0.418823</td>\n",
+       "      <td>0.480680</td>\n",
+       "      <td>0.372922</td>\n",
+       "      <td>0.388611</td>\n",
+       "      <td>0.351349</td>\n",
+       "      <td>0.416289</td>\n",
+       "      <td>0.310807</td>\n",
+       "      <td>0.422008</td>\n",
+       "      <td>0.484183</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MCD</th>\n",
+       "      <td>-0.003641</td>\n",
+       "      <td>0.027750</td>\n",
+       "      <td>0.010322</td>\n",
+       "      <td>0.013460</td>\n",
+       "      <td>-0.032039</td>\n",
+       "      <td>-0.022146</td>\n",
+       "      <td>0.010757</td>\n",
+       "      <td>-0.054155</td>\n",
+       "      <td>-0.042996</td>\n",
+       "      <td>-0.009309</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.026979</td>\n",
+       "      <td>-0.042255</td>\n",
+       "      <td>-0.058079</td>\n",
+       "      <td>-0.003496</td>\n",
+       "      <td>-0.030284</td>\n",
+       "      <td>-0.067721</td>\n",
+       "      <td>-0.037804</td>\n",
+       "      <td>-0.026089</td>\n",
+       "      <td>-0.043673</td>\n",
+       "      <td>-0.072508</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SBUX</th>\n",
+       "      <td>0.526951</td>\n",
+       "      <td>0.390460</td>\n",
+       "      <td>0.384216</td>\n",
+       "      <td>0.346491</td>\n",
+       "      <td>0.399669</td>\n",
+       "      <td>0.285969</td>\n",
+       "      <td>0.456400</td>\n",
+       "      <td>0.495117</td>\n",
+       "      <td>0.480712</td>\n",
+       "      <td>0.600181</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.587104</td>\n",
+       "      <td>0.521748</td>\n",
+       "      <td>0.436940</td>\n",
+       "      <td>0.495134</td>\n",
+       "      <td>0.495364</td>\n",
+       "      <td>0.418371</td>\n",
+       "      <td>0.616191</td>\n",
+       "      <td>0.522496</td>\n",
+       "      <td>0.480909</td>\n",
+       "      <td>0.424887</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CLX</th>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.075670</td>\n",
+       "      <td>0.162118</td>\n",
+       "      <td>0.064958</td>\n",
+       "      <td>0.291965</td>\n",
+       "      <td>0.123945</td>\n",
+       "      <td>0.166157</td>\n",
+       "      <td>0.193186</td>\n",
+       "      <td>0.355846</td>\n",
+       "      <td>0.261454</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.233920</td>\n",
+       "      <td>0.266723</td>\n",
+       "      <td>0.369866</td>\n",
+       "      <td>0.214301</td>\n",
+       "      <td>0.215479</td>\n",
+       "      <td>0.236235</td>\n",
+       "      <td>0.276544</td>\n",
+       "      <td>0.132908</td>\n",
+       "      <td>0.356275</td>\n",
+       "      <td>0.408573</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COST</th>\n",
+       "      <td>0.426280</td>\n",
+       "      <td>0.292246</td>\n",
+       "      <td>0.358626</td>\n",
+       "      <td>0.265968</td>\n",
+       "      <td>0.403205</td>\n",
+       "      <td>0.311027</td>\n",
+       "      <td>0.363161</td>\n",
+       "      <td>0.381353</td>\n",
+       "      <td>0.379005</td>\n",
+       "      <td>0.505839</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.439098</td>\n",
+       "      <td>0.486854</td>\n",
+       "      <td>0.472736</td>\n",
+       "      <td>0.410483</td>\n",
+       "      <td>0.406834</td>\n",
+       "      <td>0.436928</td>\n",
+       "      <td>0.479576</td>\n",
+       "      <td>0.325553</td>\n",
+       "      <td>0.379260</td>\n",
+       "      <td>0.350427</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PSX</th>\n",
+       "      <td>0.469342</td>\n",
+       "      <td>0.352131</td>\n",
+       "      <td>0.337200</td>\n",
+       "      <td>0.326489</td>\n",
+       "      <td>0.391431</td>\n",
+       "      <td>0.208993</td>\n",
+       "      <td>0.362455</td>\n",
+       "      <td>0.571958</td>\n",
+       "      <td>0.369642</td>\n",
+       "      <td>0.479879</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.550833</td>\n",
+       "      <td>0.571133</td>\n",
+       "      <td>0.376043</td>\n",
+       "      <td>0.448549</td>\n",
+       "      <td>0.513460</td>\n",
+       "      <td>0.401974</td>\n",
+       "      <td>0.531838</td>\n",
+       "      <td>0.570767</td>\n",
+       "      <td>0.370054</td>\n",
+       "      <td>0.345528</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BLK</th>\n",
+       "      <td>0.574601</td>\n",
+       "      <td>0.431928</td>\n",
+       "      <td>0.480133</td>\n",
+       "      <td>0.453907</td>\n",
+       "      <td>0.499860</td>\n",
+       "      <td>0.339315</td>\n",
+       "      <td>0.515605</td>\n",
+       "      <td>0.629273</td>\n",
+       "      <td>0.491120</td>\n",
+       "      <td>0.637971</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.776158</td>\n",
+       "      <td>0.539930</td>\n",
+       "      <td>0.559991</td>\n",
+       "      <td>0.615458</td>\n",
+       "      <td>0.528537</td>\n",
+       "      <td>0.679808</td>\n",
+       "      <td>0.625953</td>\n",
+       "      <td>0.491559</td>\n",
+       "      <td>0.425750</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TROW</th>\n",
+       "      <td>0.618375</td>\n",
+       "      <td>0.409611</td>\n",
+       "      <td>0.445971</td>\n",
+       "      <td>0.409393</td>\n",
+       "      <td>0.528240</td>\n",
+       "      <td>0.328485</td>\n",
+       "      <td>0.481745</td>\n",
+       "      <td>0.636208</td>\n",
+       "      <td>0.455302</td>\n",
+       "      <td>0.580171</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.776158</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.512667</td>\n",
+       "      <td>0.514152</td>\n",
+       "      <td>0.606187</td>\n",
+       "      <td>0.578737</td>\n",
+       "      <td>0.636718</td>\n",
+       "      <td>0.532931</td>\n",
+       "      <td>0.455217</td>\n",
+       "      <td>0.377826</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>JNJ</th>\n",
+       "      <td>0.499836</td>\n",
+       "      <td>0.242860</td>\n",
+       "      <td>0.321436</td>\n",
+       "      <td>0.287651</td>\n",
+       "      <td>0.601188</td>\n",
+       "      <td>0.227223</td>\n",
+       "      <td>0.353272</td>\n",
+       "      <td>0.466839</td>\n",
+       "      <td>0.494270</td>\n",
+       "      <td>0.455737</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.539930</td>\n",
+       "      <td>0.512667</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.510207</td>\n",
+       "      <td>0.519309</td>\n",
+       "      <td>0.425231</td>\n",
+       "      <td>0.520004</td>\n",
+       "      <td>0.397181</td>\n",
+       "      <td>0.494477</td>\n",
+       "      <td>0.476430</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UNH</th>\n",
+       "      <td>0.462228</td>\n",
+       "      <td>0.378159</td>\n",
+       "      <td>0.409679</td>\n",
+       "      <td>0.319669</td>\n",
+       "      <td>0.506645</td>\n",
+       "      <td>0.333898</td>\n",
+       "      <td>0.415288</td>\n",
+       "      <td>0.505194</td>\n",
+       "      <td>0.457972</td>\n",
+       "      <td>0.547612</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.559991</td>\n",
+       "      <td>0.514152</td>\n",
+       "      <td>0.510207</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.483996</td>\n",
+       "      <td>0.425047</td>\n",
+       "      <td>0.526100</td>\n",
+       "      <td>0.488578</td>\n",
+       "      <td>0.458358</td>\n",
+       "      <td>0.439364</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MMM</th>\n",
+       "      <td>0.493810</td>\n",
+       "      <td>0.319524</td>\n",
+       "      <td>0.428520</td>\n",
+       "      <td>0.368989</td>\n",
+       "      <td>0.467451</td>\n",
+       "      <td>0.265286</td>\n",
+       "      <td>0.381264</td>\n",
+       "      <td>0.614054</td>\n",
+       "      <td>0.380347</td>\n",
+       "      <td>0.540329</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.615458</td>\n",
+       "      <td>0.606187</td>\n",
+       "      <td>0.519309</td>\n",
+       "      <td>0.483996</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.545729</td>\n",
+       "      <td>0.580649</td>\n",
+       "      <td>0.565495</td>\n",
+       "      <td>0.380817</td>\n",
+       "      <td>0.362916</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UPS</th>\n",
+       "      <td>0.487802</td>\n",
+       "      <td>0.333834</td>\n",
+       "      <td>0.394518</td>\n",
+       "      <td>0.345112</td>\n",
+       "      <td>0.418580</td>\n",
+       "      <td>0.298567</td>\n",
+       "      <td>0.360945</td>\n",
+       "      <td>0.491739</td>\n",
+       "      <td>0.363920</td>\n",
+       "      <td>0.496744</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.528537</td>\n",
+       "      <td>0.578737</td>\n",
+       "      <td>0.425231</td>\n",
+       "      <td>0.425047</td>\n",
+       "      <td>0.545729</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.496429</td>\n",
+       "      <td>0.449299</td>\n",
+       "      <td>0.364109</td>\n",
+       "      <td>0.326873</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ACN</th>\n",
+       "      <td>0.591072</td>\n",
+       "      <td>0.459690</td>\n",
+       "      <td>0.482080</td>\n",
+       "      <td>0.444501</td>\n",
+       "      <td>0.472509</td>\n",
+       "      <td>0.378506</td>\n",
+       "      <td>0.570354</td>\n",
+       "      <td>0.587317</td>\n",
+       "      <td>0.543790</td>\n",
+       "      <td>0.653681</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.679808</td>\n",
+       "      <td>0.636718</td>\n",
+       "      <td>0.520004</td>\n",
+       "      <td>0.526100</td>\n",
+       "      <td>0.580649</td>\n",
+       "      <td>0.496429</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.582935</td>\n",
+       "      <td>0.543947</td>\n",
+       "      <td>0.462775</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PPG</th>\n",
+       "      <td>0.465568</td>\n",
+       "      <td>0.371524</td>\n",
+       "      <td>0.381444</td>\n",
+       "      <td>0.384659</td>\n",
+       "      <td>0.392016</td>\n",
+       "      <td>0.232731</td>\n",
+       "      <td>0.395594</td>\n",
+       "      <td>0.581177</td>\n",
+       "      <td>0.409436</td>\n",
+       "      <td>0.565035</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.625953</td>\n",
+       "      <td>0.532931</td>\n",
+       "      <td>0.397181</td>\n",
+       "      <td>0.488578</td>\n",
+       "      <td>0.565495</td>\n",
+       "      <td>0.449299</td>\n",
+       "      <td>0.582935</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.410028</td>\n",
+       "      <td>0.337895</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.449187</td>\n",
+       "      <td>0.308885</td>\n",
+       "      <td>0.317052</td>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.423415</td>\n",
+       "      <td>0.221568</td>\n",
+       "      <td>0.385879</td>\n",
+       "      <td>0.436078</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.489816</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.491559</td>\n",
+       "      <td>0.455217</td>\n",
+       "      <td>0.494477</td>\n",
+       "      <td>0.458358</td>\n",
+       "      <td>0.380817</td>\n",
+       "      <td>0.364109</td>\n",
+       "      <td>0.543947</td>\n",
+       "      <td>0.410028</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.635249</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NEE</th>\n",
+       "      <td>0.396957</td>\n",
+       "      <td>0.277866</td>\n",
+       "      <td>0.273752</td>\n",
+       "      <td>0.164492</td>\n",
+       "      <td>0.401200</td>\n",
+       "      <td>0.143194</td>\n",
+       "      <td>0.296409</td>\n",
+       "      <td>0.421907</td>\n",
+       "      <td>0.634955</td>\n",
+       "      <td>0.469551</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.425750</td>\n",
+       "      <td>0.377826</td>\n",
+       "      <td>0.476430</td>\n",
+       "      <td>0.439364</td>\n",
+       "      <td>0.362916</td>\n",
+       "      <td>0.326873</td>\n",
+       "      <td>0.462775</td>\n",
+       "      <td>0.337895</td>\n",
+       "      <td>0.635249</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>29 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          ORCL        SQ      NVDA      BABA       PFE      NFLX       CRM  \\\n",
+       "ORCL  1.000000  0.386744  0.441040  0.401531  0.489490  0.369383  0.519998   \n",
+       "SQ    0.386744  1.000000  0.497101  0.435190  0.266796  0.406201  0.522451   \n",
+       "NVDA  0.441040  0.497101  1.000000  0.511186  0.302716  0.434059  0.518649   \n",
+       "BABA  0.401531  0.435190  0.511186  1.000000  0.277702  0.418695  0.458691   \n",
+       "PFE   0.489490  0.266796  0.302716  0.277702  1.000000  0.241524  0.340086   \n",
+       "NFLX  0.369383  0.406201  0.434059  0.418695  0.241524  1.000000  0.505363   \n",
+       "CRM   0.519998  0.522451  0.518649  0.458691  0.340086  0.505363  1.000000   \n",
+       "GD    0.490317  0.352647  0.380077  0.353640  0.465807  0.265991  0.390874   \n",
+       "AMT   0.449187  0.308885  0.317052  0.260417  0.423415  0.221568  0.385879   \n",
+       "HD    0.541530  0.450279  0.498054  0.363652  0.465854  0.356067  0.533370   \n",
+       "FB    0.457207  0.436792  0.483011  0.468335  0.327248  0.462900  0.556916   \n",
+       "MSFT  0.646610  0.543723  0.605289  0.542734  0.480834  0.513766  0.679617   \n",
+       "WMT   0.395824  0.187869  0.277678  0.184256  0.362778  0.241783  0.257522   \n",
+       "VZ    0.386715  0.139475  0.207015  0.157489  0.420016  0.130550  0.223956   \n",
+       "MCD  -0.003641  0.027750  0.010322  0.013460 -0.032039 -0.022146  0.010757   \n",
+       "SBUX  0.526951  0.390460  0.384216  0.346491  0.399669  0.285969  0.456400   \n",
+       "CLX   0.260417  0.075670  0.162118  0.064958  0.291965  0.123945  0.166157   \n",
+       "COST  0.426280  0.292246  0.358626  0.265968  0.403205  0.311027  0.363161   \n",
+       "PSX   0.469342  0.352131  0.337200  0.326489  0.391431  0.208993  0.362455   \n",
+       "BLK   0.574601  0.431928  0.480133  0.453907  0.499860  0.339315  0.515605   \n",
+       "TROW  0.618375  0.409611  0.445971  0.409393  0.528240  0.328485  0.481745   \n",
+       "JNJ   0.499836  0.242860  0.321436  0.287651  0.601188  0.227223  0.353272   \n",
+       "UNH   0.462228  0.378159  0.409679  0.319669  0.506645  0.333898  0.415288   \n",
+       "MMM   0.493810  0.319524  0.428520  0.368989  0.467451  0.265286  0.381264   \n",
+       "UPS   0.487802  0.333834  0.394518  0.345112  0.418580  0.298567  0.360945   \n",
+       "ACN   0.591072  0.459690  0.482080  0.444501  0.472509  0.378506  0.570354   \n",
+       "PPG   0.465568  0.371524  0.381444  0.384659  0.392016  0.232731  0.395594   \n",
+       "AMT   0.449187  0.308885  0.317052  0.260417  0.423415  0.221568  0.385879   \n",
+       "NEE   0.396957  0.277866  0.273752  0.164492  0.401200  0.143194  0.296409   \n",
+       "\n",
+       "            GD       AMT        HD  ...       BLK      TROW       JNJ  \\\n",
+       "ORCL  0.490317  0.449187  0.541530  ...  0.574601  0.618375  0.499836   \n",
+       "SQ    0.352647  0.308885  0.450279  ...  0.431928  0.409611  0.242860   \n",
+       "NVDA  0.380077  0.317052  0.498054  ...  0.480133  0.445971  0.321436   \n",
+       "BABA  0.353640  0.260417  0.363652  ...  0.453907  0.409393  0.287651   \n",
+       "PFE   0.465807  0.423415  0.465854  ...  0.499860  0.528240  0.601188   \n",
+       "NFLX  0.265991  0.221568  0.356067  ...  0.339315  0.328485  0.227223   \n",
+       "CRM   0.390874  0.385879  0.533370  ...  0.515605  0.481745  0.353272   \n",
+       "GD    1.000000  0.436078  0.559862  ...  0.629273  0.636208  0.466839   \n",
+       "AMT   0.436078  1.000000  0.489816  ...  0.491120  0.455302  0.494270   \n",
+       "HD    0.559862  0.489816  1.000000  ...  0.637971  0.580171  0.455737   \n",
+       "FB    0.347316  0.354748  0.476309  ...  0.451528  0.463039  0.338963   \n",
+       "MSFT  0.493368  0.491629  0.619985  ...  0.637154  0.611672  0.513232   \n",
+       "WMT   0.291778  0.342883  0.403235  ...  0.324932  0.396691  0.394233   \n",
+       "VZ    0.384066  0.422333  0.407158  ...  0.394041  0.418823  0.480680   \n",
+       "MCD  -0.054155 -0.042996 -0.009309  ... -0.026979 -0.042255 -0.058079   \n",
+       "SBUX  0.495117  0.480712  0.600181  ...  0.587104  0.521748  0.436940   \n",
+       "CLX   0.193186  0.355846  0.261454  ...  0.233920  0.266723  0.369866   \n",
+       "COST  0.381353  0.379005  0.505839  ...  0.439098  0.486854  0.472736   \n",
+       "PSX   0.571958  0.369642  0.479879  ...  0.550833  0.571133  0.376043   \n",
+       "BLK   0.629273  0.491120  0.637971  ...  1.000000  0.776158  0.539930   \n",
+       "TROW  0.636208  0.455302  0.580171  ...  0.776158  1.000000  0.512667   \n",
+       "JNJ   0.466839  0.494270  0.455737  ...  0.539930  0.512667  1.000000   \n",
+       "UNH   0.505194  0.457972  0.547612  ...  0.559991  0.514152  0.510207   \n",
+       "MMM   0.614054  0.380347  0.540329  ...  0.615458  0.606187  0.519309   \n",
+       "UPS   0.491739  0.363920  0.496744  ...  0.528537  0.578737  0.425231   \n",
+       "ACN   0.587317  0.543790  0.653681  ...  0.679808  0.636718  0.520004   \n",
+       "PPG   0.581177  0.409436  0.565035  ...  0.625953  0.532931  0.397181   \n",
+       "AMT   0.436078  1.000000  0.489816  ...  0.491559  0.455217  0.494477   \n",
+       "NEE   0.421907  0.634955  0.469551  ...  0.425750  0.377826  0.476430   \n",
+       "\n",
+       "           UNH       MMM       UPS       ACN       PPG       AMT       NEE  \n",
+       "ORCL  0.462228  0.493810  0.487802  0.591072  0.465568  0.449187  0.396957  \n",
+       "SQ    0.378159  0.319524  0.333834  0.459690  0.371524  0.308885  0.277866  \n",
+       "NVDA  0.409679  0.428520  0.394518  0.482080  0.381444  0.317052  0.273752  \n",
+       "BABA  0.319669  0.368989  0.345112  0.444501  0.384659  0.260417  0.164492  \n",
+       "PFE   0.506645  0.467451  0.418580  0.472509  0.392016  0.423415  0.401200  \n",
+       "NFLX  0.333898  0.265286  0.298567  0.378506  0.232731  0.221568  0.143194  \n",
+       "CRM   0.415288  0.381264  0.360945  0.570354  0.395594  0.385879  0.296409  \n",
+       "GD    0.505194  0.614054  0.491739  0.587317  0.581177  0.436078  0.421907  \n",
+       "AMT   0.457972  0.380347  0.363920  0.543790  0.409436  1.000000  0.634955  \n",
+       "HD    0.547612  0.540329  0.496744  0.653681  0.565035  0.489816  0.469551  \n",
+       "FB    0.395071  0.363871  0.367420  0.514883  0.355301  0.354748  0.286661  \n",
+       "MSFT  0.549118  0.508484  0.473321  0.697806  0.483476  0.491629  0.427397  \n",
+       "WMT   0.329164  0.312359  0.344849  0.357891  0.214233  0.342883  0.353807  \n",
+       "VZ    0.372922  0.388611  0.351349  0.416289  0.310807  0.422008  0.484183  \n",
+       "MCD  -0.003496 -0.030284 -0.067721 -0.037804 -0.026089 -0.043673 -0.072508  \n",
+       "SBUX  0.495134  0.495364  0.418371  0.616191  0.522496  0.480909  0.424887  \n",
+       "CLX   0.214301  0.215479  0.236235  0.276544  0.132908  0.356275  0.408573  \n",
+       "COST  0.410483  0.406834  0.436928  0.479576  0.325553  0.379260  0.350427  \n",
+       "PSX   0.448549  0.513460  0.401974  0.531838  0.570767  0.370054  0.345528  \n",
+       "BLK   0.559991  0.615458  0.528537  0.679808  0.625953  0.491559  0.425750  \n",
+       "TROW  0.514152  0.606187  0.578737  0.636718  0.532931  0.455217  0.377826  \n",
+       "JNJ   0.510207  0.519309  0.425231  0.520004  0.397181  0.494477  0.476430  \n",
+       "UNH   1.000000  0.483996  0.425047  0.526100  0.488578  0.458358  0.439364  \n",
+       "MMM   0.483996  1.000000  0.545729  0.580649  0.565495  0.380817  0.362916  \n",
+       "UPS   0.425047  0.545729  1.000000  0.496429  0.449299  0.364109  0.326873  \n",
+       "ACN   0.526100  0.580649  0.496429  1.000000  0.582935  0.543947  0.462775  \n",
+       "PPG   0.488578  0.565495  0.449299  0.582935  1.000000  0.410028  0.337895  \n",
+       "AMT   0.458358  0.380817  0.364109  0.543947  0.410028  1.000000  0.635249  \n",
+       "NEE   0.439364  0.362916  0.326873  0.462775  0.337895  0.635249  1.000000  \n",
+       "\n",
+       "[29 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Here we are deciphering the correlation of the stocks amongst themselves.\n",
+    "correlation_of_all_potential_stocks = portfolio_daily.corr()\n",
+    "correlation_of_all_potential_stocks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#We are using a heat map to quickly see if there are any noteable correlations that we should be concerned about.\n",
+    "sns.heatmap(correlation_of_all_potential_stocks);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Clean the data for the S&P 500"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Open</th>\n",
+       "      <th>High</th>\n",
+       "      <th>Low</th>\n",
+       "      <th>Close</th>\n",
+       "      <th>Adj Close</th>\n",
+       "      <th>Volume</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>1921.770020</td>\n",
+       "      <td>1951.359985</td>\n",
+       "      <td>1893.699951</td>\n",
+       "      <td>1951.359985</td>\n",
+       "      <td>1951.359985</td>\n",
+       "      <td>4378570000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>1954.329956</td>\n",
+       "      <td>1989.170044</td>\n",
+       "      <td>1954.329956</td>\n",
+       "      <td>1987.050049</td>\n",
+       "      <td>1987.050049</td>\n",
+       "      <td>4334490000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>1986.630005</td>\n",
+       "      <td>1991.619995</td>\n",
+       "      <td>1971.989990</td>\n",
+       "      <td>1979.920044</td>\n",
+       "      <td>1979.920044</td>\n",
+       "      <td>4202400000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>1982.339966</td>\n",
+       "      <td>1999.310059</td>\n",
+       "      <td>1976.439941</td>\n",
+       "      <td>1995.829956</td>\n",
+       "      <td>1995.829956</td>\n",
+       "      <td>4666470000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-08</th>\n",
+       "      <td>1994.010010</td>\n",
+       "      <td>2016.500000</td>\n",
+       "      <td>1987.530029</td>\n",
+       "      <td>2013.430054</td>\n",
+       "      <td>2013.430054</td>\n",
+       "      <td>3939140000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3236.659912</td>\n",
+       "      <td>3306.879883</td>\n",
+       "      <td>3228.439941</td>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>3792220000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3333.899902</td>\n",
+       "      <td>3360.739990</td>\n",
+       "      <td>3332.909912</td>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>3946060000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3350.919922</td>\n",
+       "      <td>3357.919922</td>\n",
+       "      <td>3327.540039</td>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>3651880000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3341.209961</td>\n",
+       "      <td>3393.560059</td>\n",
+       "      <td>3340.469971</td>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>4722530000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3385.870117</td>\n",
+       "      <td>3397.179932</td>\n",
+       "      <td>3361.389893</td>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>4070530000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1259 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   Open         High          Low        Close    Adj Close  \\\n",
+       "Date                                                                          \n",
+       "2015-10-02  1921.770020  1951.359985  1893.699951  1951.359985  1951.359985   \n",
+       "2015-10-05  1954.329956  1989.170044  1954.329956  1987.050049  1987.050049   \n",
+       "2015-10-06  1986.630005  1991.619995  1971.989990  1979.920044  1979.920044   \n",
+       "2015-10-07  1982.339966  1999.310059  1976.439941  1995.829956  1995.829956   \n",
+       "2015-10-08  1994.010010  2016.500000  1987.530029  2013.430054  2013.430054   \n",
+       "...                 ...          ...          ...          ...          ...   \n",
+       "2020-09-25  3236.659912  3306.879883  3228.439941  3298.459961  3298.459961   \n",
+       "2020-09-28  3333.899902  3360.739990  3332.909912  3351.600098  3351.600098   \n",
+       "2020-09-29  3350.919922  3357.919922  3327.540039  3335.469971  3335.469971   \n",
+       "2020-09-30  3341.209961  3393.560059  3340.469971  3363.000000  3363.000000   \n",
+       "2020-10-01  3385.870117  3397.179932  3361.389893  3380.800049  3380.800049   \n",
+       "\n",
+       "                Volume  \n",
+       "Date                    \n",
+       "2015-10-02  4378570000  \n",
+       "2015-10-05  4334490000  \n",
+       "2015-10-06  4202400000  \n",
+       "2015-10-07  4666470000  \n",
+       "2015-10-08  3939140000  \n",
+       "...                ...  \n",
+       "2020-09-25  3792220000  \n",
+       "2020-09-28  3946060000  \n",
+       "2020-09-29  3651880000  \n",
+       "2020-09-30  4722530000  \n",
+       "2020-10-01  4070530000  \n",
+       "\n",
+       "[1259 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Reading csv files \n",
+    "SP500_data = Path(\"../CSVs/SP500.csv\")\n",
+    "\n",
+    "raw_portfolio_data = Path(\"../CSVs/raw_portfolio.csv\")\n",
+    "# Reading csv as df\n",
+    "\n",
+    "SP500_df = pd.read_csv(SP500_data,index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n",
+    "raw_portfolio_data = pd.read_csv(raw_portfolio_data, index_col=0, parse_dates=True, infer_datetime_format=True)\n",
+    "SP500_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Close</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>1951.359985</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>1987.050049</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>1979.920044</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>1995.829956</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-08</th>\n",
+       "      <td>2013.430054</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1259 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  Close\n",
+       "Date                   \n",
+       "2015-10-02  1951.359985\n",
+       "2015-10-05  1987.050049\n",
+       "2015-10-06  1979.920044\n",
+       "2015-10-07  1995.829956\n",
+       "2015-10-08  2013.430054\n",
+       "...                 ...\n",
+       "2020-09-25  3298.459961\n",
+       "2020-09-28  3351.600098\n",
+       "2020-09-29  3335.469971\n",
+       "2020-09-30  3363.000000\n",
+       "2020-10-01  3380.800049\n",
+       "\n",
+       "[1259 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Dropping columns that are not needed\n",
+    "SP500_close_data= SP500_df.drop(columns=[\"Open\",\"High\",\"Low\",\"Adj Close\", \"Volume\"])\n",
+    "\n",
+    "SP500_close_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Here we saved the output of the dataframe into a csv file for later uses \n",
+    "\n",
+    "\n",
+    "    #SP500_close_data.to_csv(r'SP500_close_data.csv', index=True, header=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Combining S&P data with the portfolio containing all our stock picks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Close</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.38</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>102.49</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>158.38</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.28</td>\n",
+       "      <td>103.37</td>\n",
+       "      <td>100.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>...</td>\n",
+       "      <td>91.67</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>102.48</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>158.95</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>104.62</td>\n",
+       "      <td>101.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.17</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>102.77</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>158.65</td>\n",
+       "      <td>103.59</td>\n",
+       "      <td>107.84</td>\n",
+       "      <td>105.47</td>\n",
+       "      <td>100.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>...</td>\n",
+       "      <td>93.13</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>102.04</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>157.75</td>\n",
+       "      <td>103.40</td>\n",
+       "      <td>107.35</td>\n",
+       "      <td>105.49</td>\n",
+       "      <td>99.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.77</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>101.96</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>157.63</td>\n",
+       "      <td>103.49</td>\n",
+       "      <td>107.10</td>\n",
+       "      <td>106.46</td>\n",
+       "      <td>98.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>138.210007</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>140.919998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>...</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>138.550003</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>138.429993</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>...</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>138.220001</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>...</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  Close       ORCL          SQ        NVDA        BABA  \\\n",
+       "2015-11-19  2081.239990  36.108597   13.070000   30.458263   77.870003   \n",
+       "2015-11-20  2089.169922  36.404728   12.850000   30.722525   79.949997   \n",
+       "2015-11-23  2086.590088  36.219639   12.120000   30.262524   81.309998   \n",
+       "2015-11-24  2089.139893  36.515770   12.020000   30.507206   80.860001   \n",
+       "2015-11-25  2088.870117  36.330700   11.900000   30.468054   81.709999   \n",
+       "...                 ...        ...         ...         ...         ...   \n",
+       "2020-09-25  3298.459961  59.799999  157.720001  514.950012  271.089996   \n",
+       "2020-09-28  3351.600098  59.580002  160.759995  521.400024  276.010010   \n",
+       "2020-09-29  3335.469971  59.470001  164.809998  529.030029  276.929993   \n",
+       "2020-09-30  3363.000000  59.700001  162.550003  541.219971  293.980011   \n",
+       "2020-10-01  3380.800049  59.680000  168.490005  544.580017  290.049988   \n",
+       "\n",
+       "                  PFE        NFLX         CRM          GD     AMT  ...    PSX  \\\n",
+       "2015-11-19  27.049994  120.220001   80.639999  130.626297   99.63  ...  92.38   \n",
+       "2015-11-20  26.957846  123.839996   80.989998  130.896194  100.49  ...  91.67   \n",
+       "2015-11-23  26.245783  125.029999   80.779999  130.077530   99.94  ...  92.17   \n",
+       "2015-11-24  26.781923  123.309998   80.389999  130.923172   99.26  ...  93.13   \n",
+       "2015-11-25  27.535873  124.160004   80.410004  130.608292   99.09  ...  92.77   \n",
+       "...               ...         ...         ...         ...     ...  ...    ...   \n",
+       "2020-09-25  36.049999  482.880005  242.740005  138.210007  239.81  ...  52.88   \n",
+       "2020-09-28  36.389999  490.649994  246.669998  140.919998  240.00  ...  53.98   \n",
+       "2020-09-29  36.169998  493.480011  247.449997  138.550003  240.12  ...  52.19   \n",
+       "2020-09-30  36.700001  500.029999  251.320007  138.429993  241.73  ...  51.84   \n",
+       "2020-10-01  36.369999  527.510010  253.449997  138.220001  242.15  ...  50.28   \n",
+       "\n",
+       "               BLK    TROW     JNJ     UNH     MMM     UPS     ACN     PPG  \\\n",
+       "2015-11-19  359.09   76.38  102.49  110.63  158.38  104.10  107.28  103.37   \n",
+       "2015-11-20  362.46   76.37  102.48  112.97  158.95  104.10  107.97  104.62   \n",
+       "2015-11-23  363.25   76.15  102.77  112.16  158.65  103.59  107.84  105.47   \n",
+       "2015-11-24  356.81   75.62  102.04  113.19  157.75  103.40  107.35  105.49   \n",
+       "2015-11-25  360.62   76.01  101.96  114.41  157.63  103.49  107.10  106.46   \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...   \n",
+       "2020-09-25  547.81  125.22  145.66  302.50  160.27  166.12  214.63  120.25   \n",
+       "2020-09-28  558.65  128.55  147.11  303.23  161.66  168.90  222.78  121.74   \n",
+       "2020-09-29  554.80  127.49  147.06  304.15  159.81  168.50  224.08  120.33   \n",
+       "2020-09-30  563.55  128.22  148.88  311.77  160.18  166.63  225.99  122.08   \n",
+       "2020-10-01  567.91  128.04  147.32  313.07  158.79  167.65  225.18  121.78   \n",
+       "\n",
+       "               NEE  \n",
+       "2015-11-19  100.99  \n",
+       "2015-11-20  101.02  \n",
+       "2015-11-23  100.49  \n",
+       "2015-11-24   99.41  \n",
+       "2015-11-25   98.88  \n",
+       "...            ...  \n",
+       "2020-09-25  281.82  \n",
+       "2020-09-28  284.14  \n",
+       "2020-09-29  283.12  \n",
+       "2020-09-30  277.56  \n",
+       "2020-10-01  282.76  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Now we will conacat the Newly Created SP500 DataFrame with the combined_2 Dataframe\n",
+    "\n",
+    "SP500_and_general_stock_picks = pd.concat([SP500_close_data, raw_portfolio_data], axis='columns', join='outer')\n",
+    "\n",
+    "SP500_and_general_stock_picks.dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.38</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>102.49</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>158.38</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.28</td>\n",
+       "      <td>103.37</td>\n",
+       "      <td>100.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>...</td>\n",
+       "      <td>91.67</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>102.48</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>158.95</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>104.62</td>\n",
+       "      <td>101.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.17</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>102.77</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>158.65</td>\n",
+       "      <td>103.59</td>\n",
+       "      <td>107.84</td>\n",
+       "      <td>105.47</td>\n",
+       "      <td>100.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>...</td>\n",
+       "      <td>93.13</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>102.04</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>157.75</td>\n",
+       "      <td>103.40</td>\n",
+       "      <td>107.35</td>\n",
+       "      <td>105.49</td>\n",
+       "      <td>99.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.77</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>101.96</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>157.63</td>\n",
+       "      <td>103.49</td>\n",
+       "      <td>107.10</td>\n",
+       "      <td>106.46</td>\n",
+       "      <td>98.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>138.210007</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>140.919998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>...</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>138.550003</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>138.429993</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>...</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>138.220001</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>...</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  SP500       ORCL          SQ        NVDA        BABA  \\\n",
+       "2015-11-19  2081.239990  36.108597   13.070000   30.458263   77.870003   \n",
+       "2015-11-20  2089.169922  36.404728   12.850000   30.722525   79.949997   \n",
+       "2015-11-23  2086.590088  36.219639   12.120000   30.262524   81.309998   \n",
+       "2015-11-24  2089.139893  36.515770   12.020000   30.507206   80.860001   \n",
+       "2015-11-25  2088.870117  36.330700   11.900000   30.468054   81.709999   \n",
+       "...                 ...        ...         ...         ...         ...   \n",
+       "2020-09-25  3298.459961  59.799999  157.720001  514.950012  271.089996   \n",
+       "2020-09-28  3351.600098  59.580002  160.759995  521.400024  276.010010   \n",
+       "2020-09-29  3335.469971  59.470001  164.809998  529.030029  276.929993   \n",
+       "2020-09-30  3363.000000  59.700001  162.550003  541.219971  293.980011   \n",
+       "2020-10-01  3380.800049  59.680000  168.490005  544.580017  290.049988   \n",
+       "\n",
+       "                  PFE        NFLX         CRM          GD     AMT  ...    PSX  \\\n",
+       "2015-11-19  27.049994  120.220001   80.639999  130.626297   99.63  ...  92.38   \n",
+       "2015-11-20  26.957846  123.839996   80.989998  130.896194  100.49  ...  91.67   \n",
+       "2015-11-23  26.245783  125.029999   80.779999  130.077530   99.94  ...  92.17   \n",
+       "2015-11-24  26.781923  123.309998   80.389999  130.923172   99.26  ...  93.13   \n",
+       "2015-11-25  27.535873  124.160004   80.410004  130.608292   99.09  ...  92.77   \n",
+       "...               ...         ...         ...         ...     ...  ...    ...   \n",
+       "2020-09-25  36.049999  482.880005  242.740005  138.210007  239.81  ...  52.88   \n",
+       "2020-09-28  36.389999  490.649994  246.669998  140.919998  240.00  ...  53.98   \n",
+       "2020-09-29  36.169998  493.480011  247.449997  138.550003  240.12  ...  52.19   \n",
+       "2020-09-30  36.700001  500.029999  251.320007  138.429993  241.73  ...  51.84   \n",
+       "2020-10-01  36.369999  527.510010  253.449997  138.220001  242.15  ...  50.28   \n",
+       "\n",
+       "               BLK    TROW     JNJ     UNH     MMM     UPS     ACN     PPG  \\\n",
+       "2015-11-19  359.09   76.38  102.49  110.63  158.38  104.10  107.28  103.37   \n",
+       "2015-11-20  362.46   76.37  102.48  112.97  158.95  104.10  107.97  104.62   \n",
+       "2015-11-23  363.25   76.15  102.77  112.16  158.65  103.59  107.84  105.47   \n",
+       "2015-11-24  356.81   75.62  102.04  113.19  157.75  103.40  107.35  105.49   \n",
+       "2015-11-25  360.62   76.01  101.96  114.41  157.63  103.49  107.10  106.46   \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...   \n",
+       "2020-09-25  547.81  125.22  145.66  302.50  160.27  166.12  214.63  120.25   \n",
+       "2020-09-28  558.65  128.55  147.11  303.23  161.66  168.90  222.78  121.74   \n",
+       "2020-09-29  554.80  127.49  147.06  304.15  159.81  168.50  224.08  120.33   \n",
+       "2020-09-30  563.55  128.22  148.88  311.77  160.18  166.63  225.99  122.08   \n",
+       "2020-10-01  567.91  128.04  147.32  313.07  158.79  167.65  225.18  121.78   \n",
+       "\n",
+       "               NEE  \n",
+       "2015-11-19  100.99  \n",
+       "2015-11-20  101.02  \n",
+       "2015-11-23  100.49  \n",
+       "2015-11-24   99.41  \n",
+       "2015-11-25   98.88  \n",
+       "...            ...  \n",
+       "2020-09-25  281.82  \n",
+       "2020-09-28  284.14  \n",
+       "2020-09-29  283.12  \n",
+       "2020-09-30  277.56  \n",
+       "2020-10-01  282.76  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Fixing the df column so that it reads SP500 instead of Close\n",
+    "column_names = SP500_and_general_stock_picks.columns.values\n",
+    "column_names[0] = 'SP500'\n",
+    "SP500_and_general_stock_picks.columns = column_names\n",
+    "\n",
+    "\n",
+    "SP500_and_general_stock_picks.dropna(inplace=True)\n",
+    "\n",
+    "SP500_and_general_stock_picks"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# General Calculations of the newly created DataFrame"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculating Daily Returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.002066</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.007686</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>-0.000098</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.003599</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.006432</td>\n",
+       "      <td>0.012092</td>\n",
+       "      <td>0.000297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.006254</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.005454</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>0.002830</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>-0.001887</td>\n",
+       "      <td>-0.004899</td>\n",
+       "      <td>-0.001204</td>\n",
+       "      <td>0.008125</td>\n",
+       "      <td>-0.005246</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>0.006501</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.010416</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>-0.007103</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>-0.005673</td>\n",
+       "      <td>-0.001834</td>\n",
+       "      <td>-0.004544</td>\n",
+       "      <td>0.000190</td>\n",
+       "      <td>-0.010747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.002405</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.003866</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>-0.000784</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>-0.000761</td>\n",
+       "      <td>0.000870</td>\n",
+       "      <td>-0.002329</td>\n",
+       "      <td>0.009195</td>\n",
+       "      <td>-0.005331</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.002617</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.000108</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>0.004021</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>0.002284</td>\n",
+       "      <td>0.006667</td>\n",
+       "      <td>0.003361</td>\n",
+       "      <td>-0.002348</td>\n",
+       "      <td>0.004956</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.015977</td>\n",
+       "      <td>0.008432</td>\n",
+       "      <td>0.035520</td>\n",
+       "      <td>0.042578</td>\n",
+       "      <td>0.005042</td>\n",
+       "      <td>0.008110</td>\n",
+       "      <td>0.020715</td>\n",
+       "      <td>0.021848</td>\n",
+       "      <td>0.009569</td>\n",
+       "      <td>0.015370</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000568</td>\n",
+       "      <td>0.023848</td>\n",
+       "      <td>0.014502</td>\n",
+       "      <td>0.006843</td>\n",
+       "      <td>0.033623</td>\n",
+       "      <td>-0.000935</td>\n",
+       "      <td>0.035596</td>\n",
+       "      <td>0.000979</td>\n",
+       "      <td>0.010929</td>\n",
+       "      <td>0.015421</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.016111</td>\n",
+       "      <td>-0.003679</td>\n",
+       "      <td>0.019275</td>\n",
+       "      <td>0.012526</td>\n",
+       "      <td>0.018149</td>\n",
+       "      <td>0.009431</td>\n",
+       "      <td>0.016091</td>\n",
+       "      <td>0.016190</td>\n",
+       "      <td>0.019608</td>\n",
+       "      <td>0.000792</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.020802</td>\n",
+       "      <td>0.019788</td>\n",
+       "      <td>0.026593</td>\n",
+       "      <td>0.009955</td>\n",
+       "      <td>0.002413</td>\n",
+       "      <td>0.008673</td>\n",
+       "      <td>0.016735</td>\n",
+       "      <td>0.037972</td>\n",
+       "      <td>0.012391</td>\n",
+       "      <td>0.008232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.004813</td>\n",
+       "      <td>-0.001846</td>\n",
+       "      <td>0.025193</td>\n",
+       "      <td>0.014634</td>\n",
+       "      <td>0.003333</td>\n",
+       "      <td>-0.006046</td>\n",
+       "      <td>0.005768</td>\n",
+       "      <td>0.003162</td>\n",
+       "      <td>-0.016818</td>\n",
+       "      <td>0.000500</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.033160</td>\n",
+       "      <td>-0.006892</td>\n",
+       "      <td>-0.008246</td>\n",
+       "      <td>-0.000340</td>\n",
+       "      <td>0.003034</td>\n",
+       "      <td>-0.011444</td>\n",
+       "      <td>-0.002368</td>\n",
+       "      <td>0.005835</td>\n",
+       "      <td>-0.011582</td>\n",
+       "      <td>-0.003590</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.008254</td>\n",
+       "      <td>0.003867</td>\n",
+       "      <td>-0.013713</td>\n",
+       "      <td>0.023042</td>\n",
+       "      <td>0.061568</td>\n",
+       "      <td>0.014653</td>\n",
+       "      <td>0.013273</td>\n",
+       "      <td>0.015640</td>\n",
+       "      <td>-0.000866</td>\n",
+       "      <td>0.006705</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.006706</td>\n",
+       "      <td>0.015771</td>\n",
+       "      <td>0.005726</td>\n",
+       "      <td>0.012376</td>\n",
+       "      <td>0.025053</td>\n",
+       "      <td>0.002315</td>\n",
+       "      <td>-0.011098</td>\n",
+       "      <td>0.008524</td>\n",
+       "      <td>0.014543</td>\n",
+       "      <td>-0.019638</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.005293</td>\n",
+       "      <td>-0.000335</td>\n",
+       "      <td>0.036543</td>\n",
+       "      <td>0.006208</td>\n",
+       "      <td>-0.013368</td>\n",
+       "      <td>-0.008992</td>\n",
+       "      <td>0.054957</td>\n",
+       "      <td>0.008475</td>\n",
+       "      <td>-0.001517</td>\n",
+       "      <td>0.001737</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.030093</td>\n",
+       "      <td>0.007737</td>\n",
+       "      <td>-0.001404</td>\n",
+       "      <td>-0.010478</td>\n",
+       "      <td>0.004170</td>\n",
+       "      <td>-0.008678</td>\n",
+       "      <td>0.006121</td>\n",
+       "      <td>-0.003584</td>\n",
+       "      <td>-0.002457</td>\n",
+       "      <td>0.018735</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500      ORCL        SQ      NVDA      BABA       PFE  \\\n",
+       "2015-11-20  0.003810  0.008201 -0.016832  0.008676  0.026711 -0.003407   \n",
+       "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973  0.017011 -0.026414   \n",
+       "2015-11-24  0.001222  0.008176 -0.008251  0.008085 -0.005534  0.020428   \n",
+       "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283  0.010512  0.028151   \n",
+       "2015-11-27  0.000594 -0.002038  0.012605  0.008352 -0.004039 -0.002434   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.015977  0.008432  0.035520  0.042578  0.005042  0.008110   \n",
+       "2020-09-28  0.016111 -0.003679  0.019275  0.012526  0.018149  0.009431   \n",
+       "2020-09-29 -0.004813 -0.001846  0.025193  0.014634  0.003333 -0.006046   \n",
+       "2020-09-30  0.008254  0.003867 -0.013713  0.023042  0.061568  0.014653   \n",
+       "2020-10-01  0.005293 -0.000335  0.036543  0.006208 -0.013368 -0.008992   \n",
+       "\n",
+       "                NFLX       CRM        GD       AMT  ...       PSX       BLK  \\\n",
+       "2015-11-20  0.030111  0.004340  0.002066  0.008632  ... -0.007686  0.009385   \n",
+       "2015-11-23  0.009609 -0.002593 -0.006254 -0.005473  ...  0.005454  0.002180   \n",
+       "2015-11-24 -0.013757 -0.004828  0.006501 -0.006804  ...  0.010416 -0.017729   \n",
+       "2015-11-25  0.006893  0.000249 -0.002405 -0.001713  ... -0.003866  0.010678   \n",
+       "2015-11-27  0.010309 -0.005472  0.002617  0.005954  ... -0.000108 -0.006184   \n",
+       "...              ...       ...       ...       ...  ...       ...       ...   \n",
+       "2020-09-25  0.020715  0.021848  0.009569  0.015370  ...  0.000568  0.023848   \n",
+       "2020-09-28  0.016091  0.016190  0.019608  0.000792  ...  0.020802  0.019788   \n",
+       "2020-09-29  0.005768  0.003162 -0.016818  0.000500  ... -0.033160 -0.006892   \n",
+       "2020-09-30  0.013273  0.015640 -0.000866  0.006705  ... -0.006706  0.015771   \n",
+       "2020-10-01  0.054957  0.008475 -0.001517  0.001737  ... -0.030093  0.007737   \n",
+       "\n",
+       "                TROW       JNJ       UNH       MMM       UPS       ACN  \\\n",
+       "2015-11-20 -0.000131 -0.000098  0.021152  0.003599  0.000000  0.006432   \n",
+       "2015-11-23 -0.002881  0.002830 -0.007170 -0.001887 -0.004899 -0.001204   \n",
+       "2015-11-24 -0.006960 -0.007103  0.009183 -0.005673 -0.001834 -0.004544   \n",
+       "2015-11-25  0.005157 -0.000784  0.010778 -0.000761  0.000870 -0.002329   \n",
+       "2015-11-27 -0.000789  0.004021 -0.000612  0.002284  0.006667  0.003361   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.014502  0.006843  0.033623 -0.000935  0.035596  0.000979   \n",
+       "2020-09-28  0.026593  0.009955  0.002413  0.008673  0.016735  0.037972   \n",
+       "2020-09-29 -0.008246 -0.000340  0.003034 -0.011444 -0.002368  0.005835   \n",
+       "2020-09-30  0.005726  0.012376  0.025053  0.002315 -0.011098  0.008524   \n",
+       "2020-10-01 -0.001404 -0.010478  0.004170 -0.008678  0.006121 -0.003584   \n",
+       "\n",
+       "                 PPG       NEE  \n",
+       "2015-11-20  0.012092  0.000297  \n",
+       "2015-11-23  0.008125 -0.005246  \n",
+       "2015-11-24  0.000190 -0.010747  \n",
+       "2015-11-25  0.009195 -0.005331  \n",
+       "2015-11-27 -0.002348  0.004956  \n",
+       "...              ...       ...  \n",
+       "2020-09-25  0.010929  0.015421  \n",
+       "2020-09-28  0.012391  0.008232  \n",
+       "2020-09-29 -0.011582 -0.003590  \n",
+       "2020-09-30  0.014543 -0.019638  \n",
+       "2020-10-01 -0.002457  0.018735  \n",
+       "\n",
+       "[1224 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Calculating the % daily change of the SP500 + our stock picks\n",
+    "daily_returns_of_SP500_general_stock_picks = SP500_and_general_stock_picks.pct_change()\n",
+    "daily_returns_of_SP500_general_stock_picks.head()\n",
+    "\n",
+    "daily_returns_of_SP500_general_stock_picks.dropna(inplace=True)\n",
+    "\n",
+    "daily_returns_of_SP500_general_stock_picks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "SP500\n",
+      "ORCL\n",
+      "SQ\n",
+      "NVDA\n",
+      "BABA\n",
+      "PFE\n",
+      "NFLX\n",
+      "CRM\n",
+      "GD\n",
+      "AMT\n",
+      "HD\n",
+      "FB\n",
+      "MSFT\n",
+      "WMT\n",
+      "VZ\n",
+      "MCD\n",
+      "SBUX\n",
+      "CLX\n",
+      "COST\n",
+      "PSX\n",
+      "BLK\n",
+      "TROW\n",
+      "JNJ\n",
+      "UNH\n",
+      "MMM\n",
+      "UPS\n",
+      "ACN\n",
+      "PPG\n",
+      "NEE\n"
+     ]
+    }
+   ],
+   "source": [
+    "for col in daily_returns_of_SP500_general_stock_picks.columns: \n",
+    "    print(col)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculating Beta for each stock "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Calculating covariance of the our stock portfolio of daily returns\n",
+    "\n",
+    "ORCL_covariance = daily_returns_of_SP500_general_stock_picks['ORCL'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "SQ_covariance = daily_returns_of_SP500_general_stock_picks['SQ'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "NVDA_covariance = daily_returns_of_SP500_general_stock_picks['NVDA'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "BABA_covariance = daily_returns_of_SP500_general_stock_picks['BABA'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "PFE_covariance = daily_returns_of_SP500_general_stock_picks['PFE'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "NFLX_covariance = daily_returns_of_SP500_general_stock_picks['NFLX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "CRM_covariance = daily_returns_of_SP500_general_stock_picks['CRM'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "GD_covariance = daily_returns_of_SP500_general_stock_picks['GD'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "AMT_covariance = daily_returns_of_SP500_general_stock_picks['AMT'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "HD_covariance = daily_returns_of_SP500_general_stock_picks['HD'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "FB_covariance = daily_returns_of_SP500_general_stock_picks['FB'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "MSFT_covariance = daily_returns_of_SP500_general_stock_picks['MSFT'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "WMT_covariance = daily_returns_of_SP500_general_stock_picks['WMT'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "VZ_covariance = daily_returns_of_SP500_general_stock_picks['VZ'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "MCD_covariance = daily_returns_of_SP500_general_stock_picks['MCD'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "SBUX_covariance = daily_returns_of_SP500_general_stock_picks['SBUX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "CLX_covariance = daily_returns_of_SP500_general_stock_picks['CLX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "COST_covariance = daily_returns_of_SP500_general_stock_picks['COST'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "PSX_covariance = daily_returns_of_SP500_general_stock_picks['PSX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "BLK_covariance = daily_returns_of_SP500_general_stock_picks['BLK'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "TROW_covariance = daily_returns_of_SP500_general_stock_picks['TROW'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "JNJ_covariance = daily_returns_of_SP500_general_stock_picks['JNJ'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "UNH_covariance = daily_returns_of_SP500_general_stock_picks['UNH'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "MMM_covariance = daily_returns_of_SP500_general_stock_picks['MMM'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "UPS_covariance = daily_returns_of_SP500_general_stock_picks['UPS'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "ACN_covariance = daily_returns_of_SP500_general_stock_picks['ACN'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "PPG_covariance = daily_returns_of_SP500_general_stock_picks['PPG'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "NEE_covariance = daily_returns_of_SP500_general_stock_picks['NEE'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.00014785817616144565"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#calculating Variance of SP500\n",
+    "\n",
+    "variance = daily_returns_of_SP500_general_stock_picks['SP500'].var()\n",
+    "variance\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Calculating covariance of stocks used to determine which stocks will stay in our portfolio and which will be dropped\n",
+    "\n",
+    "ORCL_beta = ORCL_covariance / variance\n",
+    "SQ_beta = SQ_covariance / variance\n",
+    "BABA_beta = BABA_covariance / variance\n",
+    "PFE_beta = PFE_covariance / variance\n",
+    "NFLX_beta = NFLX_covariance / variance\n",
+    "CRM_beta = CRM_covariance / variance\n",
+    "GD_beta = GD_covariance / variance\n",
+    "AMT_beta = AMT_covariance / variance\n",
+    "HD_beta = HD_covariance / variance\n",
+    "FB_beta = FB_covariance / variance\n",
+    "MSFT_beta = MSFT_covariance / variance\n",
+    "WMT_beta = WMT_covariance / variance\n",
+    "VZ_beta = VZ_covariance / variance\n",
+    "MCD_beta = MCD_covariance / variance\n",
+    "SBUX_beta = SBUX_covariance / variance\n",
+    "CLX_beta = CLX_covariance / variance\n",
+    "COST_beta = COST_covariance / variance\n",
+    "PSX_beta = PSX_covariance / variance\n",
+    "BLK_beta = BLK_covariance / variance\n",
+    "TROW_beta = TROW_covariance / variance\n",
+    "JNJ_beta = JNJ_covariance / variance\n",
+    "UNH_beta = UNH_covariance / variance\n",
+    "MMM_beta = MMM_covariance / variance\n",
+    "UPS_beta = UPS_covariance / variance\n",
+    "ACN_beta = ACN_covariance / variance\n",
+    "PPG_beta = PPG_covariance / variance\n",
+    "NEE_beta = NEE_covariance / variance"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'ORCL': 0.9769549555886817,\n",
+       " 'SQ': 1.5733357802790633,\n",
+       " 'NVDA': 0.9769549555886817,\n",
+       " 'BABA': 0.9259970212008787,\n",
+       " 'PFE': 0.7086025412089901,\n",
+       " 'NFLX': 1.0012252752845145,\n",
+       " 'CRM': 1.1741466397375553,\n",
+       " 'GD': 0.9164540496291751,\n",
+       " 'AMT': 0.8211519138482752,\n",
+       " 'HD': 1.0441345895014473,\n",
+       " 'FB': 1.0632491001241937,\n",
+       " 'MSFT': 1.1997107974053545,\n",
+       " 'WMT': 0.5377679951870248,\n",
+       " 'VZ': 0.5170806353266986,\n",
+       " 'MCD': -0.031713051802039975,\n",
+       " 'SBUX': 1.001966415362131,\n",
+       " 'CLX': 0.34932730372514326,\n",
+       " 'COST': 0.652210226608838,\n",
+       " 'PSX': 1.210976849419251,\n",
+       " 'BLK': 1.2445144852629633,\n",
+       " 'TROW': 1.2107585898939726,\n",
+       " 'JNJ': 0.6636170131399196,\n",
+       " 'UNH': 1.0346792426874538,\n",
+       " 'MMM': 0.9011592323738653,\n",
+       " 'UPS': 0.8359317125085839,\n",
+       " 'ACN': 1.0574321882503792,\n",
+       " 'PPG': 0.9746945125982714,\n",
+       " 'NEE': 0.6773761086824459}"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Sanity check of our Covariances by creating a dictionary to read the data\n",
+    "\n",
+    "beta = {\n",
+    "  \"ORCL\": ORCL_beta,\n",
+    "  \"SQ\" : SQ_beta,\n",
+    "  \"NVDA\": ORCL_beta,\n",
+    "  \"BABA\": BABA_beta,\n",
+    "  \"PFE\": PFE_beta,\n",
+    "  \"NFLX\": NFLX_beta,\n",
+    "  \"CRM\": CRM_beta,\n",
+    "  \"GD\": GD_beta,\n",
+    "  \"AMT\": AMT_beta,\n",
+    "  \"HD\": HD_beta,\n",
+    "  \"FB\": FB_beta,\n",
+    "  \"MSFT\": MSFT_beta,\n",
+    "  \"WMT\": WMT_beta,\n",
+    "  \"VZ\": VZ_beta,\n",
+    "  \"MCD\": MCD_beta,\n",
+    "  \"SBUX\": SBUX_beta,\n",
+    "  \"CLX\": CLX_beta,\n",
+    "  \"COST\": COST_beta,\n",
+    "  \"PSX\": PSX_beta,\n",
+    "  \"BLK\": BLK_beta,\n",
+    "  \"TROW\": TROW_beta,\n",
+    "  \"JNJ\": JNJ_beta,\n",
+    "  \"UNH\": UNH_beta,\n",
+    "  \"MMM\": MMM_beta,\n",
+    "  \"UPS\": UPS_beta,\n",
+    "  \"ACN\": ACN_beta,\n",
+    "  \"PPG\": PPG_beta,\n",
+    "  \"NEE\": NEE_beta\n",
+    "}\n",
+    "\n",
+    "beta"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MCD -0.031713051802039975\n",
+      "CLX 0.34932730372514326\n",
+      "VZ 0.5170806353266986\n",
+      "WMT 0.5377679951870248\n",
+      "COST 0.652210226608838\n",
+      "JNJ 0.6636170131399196\n",
+      "NEE 0.6773761086824459\n",
+      "PFE 0.7086025412089901\n",
+      "AMT 0.8211519138482752\n",
+      "UPS 0.8359317125085839\n",
+      "MMM 0.9011592323738653\n",
+      "GD 0.9164540496291751\n",
+      "BABA 0.9259970212008787\n",
+      "PPG 0.9746945125982714\n",
+      "ORCL 0.9769549555886817\n",
+      "NVDA 0.9769549555886817\n",
+      "NFLX 1.0012252752845145\n",
+      "SBUX 1.001966415362131\n",
+      "UNH 1.0346792426874538\n",
+      "HD 1.0441345895014473\n",
+      "ACN 1.0574321882503792\n",
+      "FB 1.0632491001241937\n",
+      "CRM 1.1741466397375553\n",
+      "MSFT 1.1997107974053545\n",
+      "TROW 1.2107585898939726\n",
+      "PSX 1.210976849419251\n",
+      "BLK 1.2445144852629633\n",
+      "SQ 1.5733357802790633\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Sorting Beta from lowest to highest\n",
+    "\n",
+    "sorted_beta = sorted(beta.items(),key=lambda x: x[1], reverse=False)\n",
+    "\n",
+    "for i in sorted_beta: print(i[0], i[1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Calculating Correlation of S&P500 to Our Stock Picks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>SP500</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>0.718211</td>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.678114</td>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>0.643808</td>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>0.705586</td>\n",
+       "      <td>0.633569</td>\n",
+       "      <td>0.808055</td>\n",
+       "      <td>0.698629</td>\n",
+       "      <td>0.562373</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.386958</td>\n",
+       "      <td>0.440505</td>\n",
+       "      <td>0.401409</td>\n",
+       "      <td>0.489646</td>\n",
+       "      <td>0.368666</td>\n",
+       "      <td>0.519628</td>\n",
+       "      <td>0.491460</td>\n",
+       "      <td>0.449295</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.469504</td>\n",
+       "      <td>0.574767</td>\n",
+       "      <td>0.618554</td>\n",
+       "      <td>0.499977</td>\n",
+       "      <td>0.462337</td>\n",
+       "      <td>0.493965</td>\n",
+       "      <td>0.487937</td>\n",
+       "      <td>0.591231</td>\n",
+       "      <td>0.465708</td>\n",
+       "      <td>0.397040</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>0.386958</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.497670</td>\n",
+       "      <td>0.435255</td>\n",
+       "      <td>0.266798</td>\n",
+       "      <td>0.406967</td>\n",
+       "      <td>0.522806</td>\n",
+       "      <td>0.352706</td>\n",
+       "      <td>0.308892</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.352132</td>\n",
+       "      <td>0.431933</td>\n",
+       "      <td>0.409616</td>\n",
+       "      <td>0.242864</td>\n",
+       "      <td>0.378167</td>\n",
+       "      <td>0.319526</td>\n",
+       "      <td>0.333839</td>\n",
+       "      <td>0.459697</td>\n",
+       "      <td>0.371528</td>\n",
+       "      <td>0.277875</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>0.440505</td>\n",
+       "      <td>0.497670</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.511204</td>\n",
+       "      <td>0.302971</td>\n",
+       "      <td>0.432834</td>\n",
+       "      <td>0.518064</td>\n",
+       "      <td>0.381814</td>\n",
+       "      <td>0.317262</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.337503</td>\n",
+       "      <td>0.480509</td>\n",
+       "      <td>0.446315</td>\n",
+       "      <td>0.321677</td>\n",
+       "      <td>0.409963</td>\n",
+       "      <td>0.428878</td>\n",
+       "      <td>0.394818</td>\n",
+       "      <td>0.482439</td>\n",
+       "      <td>0.381751</td>\n",
+       "      <td>0.273910</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>0.401409</td>\n",
+       "      <td>0.435255</td>\n",
+       "      <td>0.511204</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.271929</td>\n",
+       "      <td>0.424142</td>\n",
+       "      <td>0.459182</td>\n",
+       "      <td>0.351660</td>\n",
+       "      <td>0.256468</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.324386</td>\n",
+       "      <td>0.454519</td>\n",
+       "      <td>0.411006</td>\n",
+       "      <td>0.281382</td>\n",
+       "      <td>0.322509</td>\n",
+       "      <td>0.369862</td>\n",
+       "      <td>0.350588</td>\n",
+       "      <td>0.443488</td>\n",
+       "      <td>0.386716</td>\n",
+       "      <td>0.163250</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>0.489646</td>\n",
+       "      <td>0.266798</td>\n",
+       "      <td>0.302971</td>\n",
+       "      <td>0.271929</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.255231</td>\n",
+       "      <td>0.343271</td>\n",
+       "      <td>0.471287</td>\n",
+       "      <td>0.426877</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.398428</td>\n",
+       "      <td>0.505123</td>\n",
+       "      <td>0.535580</td>\n",
+       "      <td>0.603870</td>\n",
+       "      <td>0.505540</td>\n",
+       "      <td>0.474353</td>\n",
+       "      <td>0.426225</td>\n",
+       "      <td>0.477271</td>\n",
+       "      <td>0.394458</td>\n",
+       "      <td>0.411663</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NFLX</th>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>0.368666</td>\n",
+       "      <td>0.406967</td>\n",
+       "      <td>0.432834</td>\n",
+       "      <td>0.424142</td>\n",
+       "      <td>0.255231</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.517518</td>\n",
+       "      <td>0.269976</td>\n",
+       "      <td>0.224412</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.208610</td>\n",
+       "      <td>0.343955</td>\n",
+       "      <td>0.336051</td>\n",
+       "      <td>0.233285</td>\n",
+       "      <td>0.337498</td>\n",
+       "      <td>0.268799</td>\n",
+       "      <td>0.302649</td>\n",
+       "      <td>0.378277</td>\n",
+       "      <td>0.236955</td>\n",
+       "      <td>0.150619</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CRM</th>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>0.519628</td>\n",
+       "      <td>0.522806</td>\n",
+       "      <td>0.518064</td>\n",
+       "      <td>0.459182</td>\n",
+       "      <td>0.343271</td>\n",
+       "      <td>0.517518</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.390746</td>\n",
+       "      <td>0.385774</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.364246</td>\n",
+       "      <td>0.517619</td>\n",
+       "      <td>0.482899</td>\n",
+       "      <td>0.350679</td>\n",
+       "      <td>0.426561</td>\n",
+       "      <td>0.380771</td>\n",
+       "      <td>0.360656</td>\n",
+       "      <td>0.573153</td>\n",
+       "      <td>0.397626</td>\n",
+       "      <td>0.297884</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>GD</th>\n",
+       "      <td>0.718211</td>\n",
+       "      <td>0.491460</td>\n",
+       "      <td>0.352706</td>\n",
+       "      <td>0.381814</td>\n",
+       "      <td>0.351660</td>\n",
+       "      <td>0.471287</td>\n",
+       "      <td>0.269976</td>\n",
+       "      <td>0.390746</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.433965</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.575444</td>\n",
+       "      <td>0.632679</td>\n",
+       "      <td>0.637720</td>\n",
+       "      <td>0.463809</td>\n",
+       "      <td>0.515648</td>\n",
+       "      <td>0.612809</td>\n",
+       "      <td>0.492406</td>\n",
+       "      <td>0.585783</td>\n",
+       "      <td>0.581516</td>\n",
+       "      <td>0.422481</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>0.449295</td>\n",
+       "      <td>0.308892</td>\n",
+       "      <td>0.317262</td>\n",
+       "      <td>0.256468</td>\n",
+       "      <td>0.426877</td>\n",
+       "      <td>0.224412</td>\n",
+       "      <td>0.385774</td>\n",
+       "      <td>0.433965</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.366028</td>\n",
+       "      <td>0.487550</td>\n",
+       "      <td>0.449716</td>\n",
+       "      <td>0.491896</td>\n",
+       "      <td>0.469692</td>\n",
+       "      <td>0.375233</td>\n",
+       "      <td>0.361974</td>\n",
+       "      <td>0.540575</td>\n",
+       "      <td>0.405584</td>\n",
+       "      <td>0.637052</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HD</th>\n",
+       "      <td>0.785353</td>\n",
+       "      <td>0.541672</td>\n",
+       "      <td>0.450287</td>\n",
+       "      <td>0.498425</td>\n",
+       "      <td>0.365700</td>\n",
+       "      <td>0.474578</td>\n",
+       "      <td>0.356924</td>\n",
+       "      <td>0.533627</td>\n",
+       "      <td>0.563125</td>\n",
+       "      <td>0.492019</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.482809</td>\n",
+       "      <td>0.644194</td>\n",
+       "      <td>0.585338</td>\n",
+       "      <td>0.455767</td>\n",
+       "      <td>0.557355</td>\n",
+       "      <td>0.544081</td>\n",
+       "      <td>0.497412</td>\n",
+       "      <td>0.658139</td>\n",
+       "      <td>0.570022</td>\n",
+       "      <td>0.475322</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FB</th>\n",
+       "      <td>0.632176</td>\n",
+       "      <td>0.457322</td>\n",
+       "      <td>0.436800</td>\n",
+       "      <td>0.483370</td>\n",
+       "      <td>0.471006</td>\n",
+       "      <td>0.324569</td>\n",
+       "      <td>0.472848</td>\n",
+       "      <td>0.559551</td>\n",
+       "      <td>0.346451</td>\n",
+       "      <td>0.354050</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.362557</td>\n",
+       "      <td>0.452998</td>\n",
+       "      <td>0.463954</td>\n",
+       "      <td>0.334978</td>\n",
+       "      <td>0.396961</td>\n",
+       "      <td>0.364097</td>\n",
+       "      <td>0.367797</td>\n",
+       "      <td>0.517254</td>\n",
+       "      <td>0.355863</td>\n",
+       "      <td>0.290893</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>0.835836</td>\n",
+       "      <td>0.646769</td>\n",
+       "      <td>0.543734</td>\n",
+       "      <td>0.605723</td>\n",
+       "      <td>0.543635</td>\n",
+       "      <td>0.485601</td>\n",
+       "      <td>0.524701</td>\n",
+       "      <td>0.689552</td>\n",
+       "      <td>0.499636</td>\n",
+       "      <td>0.499342</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.479977</td>\n",
+       "      <td>0.644817</td>\n",
+       "      <td>0.620536</td>\n",
+       "      <td>0.519689</td>\n",
+       "      <td>0.564042</td>\n",
+       "      <td>0.515009</td>\n",
+       "      <td>0.478763</td>\n",
+       "      <td>0.704062</td>\n",
+       "      <td>0.488388</td>\n",
+       "      <td>0.440207</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>WMT</th>\n",
+       "      <td>0.461816</td>\n",
+       "      <td>0.395912</td>\n",
+       "      <td>0.187875</td>\n",
+       "      <td>0.277849</td>\n",
+       "      <td>0.186634</td>\n",
+       "      <td>0.380353</td>\n",
+       "      <td>0.239978</td>\n",
+       "      <td>0.260476</td>\n",
+       "      <td>0.293014</td>\n",
+       "      <td>0.348438</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.212599</td>\n",
+       "      <td>0.338067</td>\n",
+       "      <td>0.406592</td>\n",
+       "      <td>0.399855</td>\n",
+       "      <td>0.332521</td>\n",
+       "      <td>0.317887</td>\n",
+       "      <td>0.349254</td>\n",
+       "      <td>0.360491</td>\n",
+       "      <td>0.218643</td>\n",
+       "      <td>0.367207</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>VZ</th>\n",
+       "      <td>0.512857</td>\n",
+       "      <td>0.386823</td>\n",
+       "      <td>0.139478</td>\n",
+       "      <td>0.207164</td>\n",
+       "      <td>0.149580</td>\n",
+       "      <td>0.429250</td>\n",
+       "      <td>0.129282</td>\n",
+       "      <td>0.219509</td>\n",
+       "      <td>0.381099</td>\n",
+       "      <td>0.416023</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.335214</td>\n",
+       "      <td>0.391162</td>\n",
+       "      <td>0.414118</td>\n",
+       "      <td>0.479911</td>\n",
+       "      <td>0.382885</td>\n",
+       "      <td>0.384224</td>\n",
+       "      <td>0.349115</td>\n",
+       "      <td>0.411453</td>\n",
+       "      <td>0.306964</td>\n",
+       "      <td>0.484738</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MCD</th>\n",
+       "      <td>-0.032453</td>\n",
+       "      <td>-0.003682</td>\n",
+       "      <td>0.027755</td>\n",
+       "      <td>0.010267</td>\n",
+       "      <td>0.017631</td>\n",
+       "      <td>-0.038825</td>\n",
+       "      <td>-0.016089</td>\n",
+       "      <td>0.010782</td>\n",
+       "      <td>-0.054651</td>\n",
+       "      <td>-0.045105</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.006914</td>\n",
+       "      <td>-0.029351</td>\n",
+       "      <td>-0.044150</td>\n",
+       "      <td>-0.059683</td>\n",
+       "      <td>-0.009430</td>\n",
+       "      <td>-0.030565</td>\n",
+       "      <td>-0.067445</td>\n",
+       "      <td>-0.037118</td>\n",
+       "      <td>-0.026569</td>\n",
+       "      <td>-0.073236</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SBUX</th>\n",
+       "      <td>0.711353</td>\n",
+       "      <td>0.527104</td>\n",
+       "      <td>0.390464</td>\n",
+       "      <td>0.384516</td>\n",
+       "      <td>0.343242</td>\n",
+       "      <td>0.401640</td>\n",
+       "      <td>0.285326</td>\n",
+       "      <td>0.457296</td>\n",
+       "      <td>0.494361</td>\n",
+       "      <td>0.480262</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.498375</td>\n",
+       "      <td>0.589911</td>\n",
+       "      <td>0.521928</td>\n",
+       "      <td>0.435321</td>\n",
+       "      <td>0.498597</td>\n",
+       "      <td>0.495905</td>\n",
+       "      <td>0.417440</td>\n",
+       "      <td>0.614769</td>\n",
+       "      <td>0.521976</td>\n",
+       "      <td>0.428090</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CLX</th>\n",
+       "      <td>0.309705</td>\n",
+       "      <td>0.260473</td>\n",
+       "      <td>0.075674</td>\n",
+       "      <td>0.162212</td>\n",
+       "      <td>0.061895</td>\n",
+       "      <td>0.291219</td>\n",
+       "      <td>0.124540</td>\n",
+       "      <td>0.162881</td>\n",
+       "      <td>0.189859</td>\n",
+       "      <td>0.350655</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.084340</td>\n",
+       "      <td>0.229408</td>\n",
+       "      <td>0.263170</td>\n",
+       "      <td>0.366733</td>\n",
+       "      <td>0.215692</td>\n",
+       "      <td>0.209413</td>\n",
+       "      <td>0.232319</td>\n",
+       "      <td>0.272367</td>\n",
+       "      <td>0.127619</td>\n",
+       "      <td>0.409847</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COST</th>\n",
+       "      <td>0.585711</td>\n",
+       "      <td>0.426380</td>\n",
+       "      <td>0.292254</td>\n",
+       "      <td>0.358869</td>\n",
+       "      <td>0.267241</td>\n",
+       "      <td>0.412793</td>\n",
+       "      <td>0.312532</td>\n",
+       "      <td>0.362922</td>\n",
+       "      <td>0.379336</td>\n",
+       "      <td>0.375531</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.286191</td>\n",
+       "      <td>0.442151</td>\n",
+       "      <td>0.487109</td>\n",
+       "      <td>0.472884</td>\n",
+       "      <td>0.419567</td>\n",
+       "      <td>0.403851</td>\n",
+       "      <td>0.436347</td>\n",
+       "      <td>0.477749</td>\n",
+       "      <td>0.324210</td>\n",
+       "      <td>0.351795</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PSX</th>\n",
+       "      <td>0.678114</td>\n",
+       "      <td>0.469504</td>\n",
+       "      <td>0.352132</td>\n",
+       "      <td>0.337503</td>\n",
+       "      <td>0.324386</td>\n",
+       "      <td>0.398428</td>\n",
+       "      <td>0.208610</td>\n",
+       "      <td>0.364246</td>\n",
+       "      <td>0.575444</td>\n",
+       "      <td>0.366028</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.548150</td>\n",
+       "      <td>0.570340</td>\n",
+       "      <td>0.373861</td>\n",
+       "      <td>0.459719</td>\n",
+       "      <td>0.513094</td>\n",
+       "      <td>0.402171</td>\n",
+       "      <td>0.531834</td>\n",
+       "      <td>0.571292</td>\n",
+       "      <td>0.346682</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BLK</th>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>0.574767</td>\n",
+       "      <td>0.431933</td>\n",
+       "      <td>0.480509</td>\n",
+       "      <td>0.454519</td>\n",
+       "      <td>0.505123</td>\n",
+       "      <td>0.343955</td>\n",
+       "      <td>0.517619</td>\n",
+       "      <td>0.632679</td>\n",
+       "      <td>0.487550</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.548150</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.775532</td>\n",
+       "      <td>0.538297</td>\n",
+       "      <td>0.573321</td>\n",
+       "      <td>0.615239</td>\n",
+       "      <td>0.529992</td>\n",
+       "      <td>0.679991</td>\n",
+       "      <td>0.624727</td>\n",
+       "      <td>0.430124</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TROW</th>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>0.618554</td>\n",
+       "      <td>0.409616</td>\n",
+       "      <td>0.446315</td>\n",
+       "      <td>0.411006</td>\n",
+       "      <td>0.535580</td>\n",
+       "      <td>0.336051</td>\n",
+       "      <td>0.482899</td>\n",
+       "      <td>0.637720</td>\n",
+       "      <td>0.449716</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.570340</td>\n",
+       "      <td>0.775532</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.509898</td>\n",
+       "      <td>0.531681</td>\n",
+       "      <td>0.603428</td>\n",
+       "      <td>0.580435</td>\n",
+       "      <td>0.634510</td>\n",
+       "      <td>0.531371</td>\n",
+       "      <td>0.380660</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>JNJ</th>\n",
+       "      <td>0.643808</td>\n",
+       "      <td>0.499977</td>\n",
+       "      <td>0.242864</td>\n",
+       "      <td>0.321677</td>\n",
+       "      <td>0.281382</td>\n",
+       "      <td>0.603870</td>\n",
+       "      <td>0.233285</td>\n",
+       "      <td>0.350679</td>\n",
+       "      <td>0.463809</td>\n",
+       "      <td>0.491896</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.373861</td>\n",
+       "      <td>0.538297</td>\n",
+       "      <td>0.509898</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.517897</td>\n",
+       "      <td>0.517249</td>\n",
+       "      <td>0.423147</td>\n",
+       "      <td>0.519326</td>\n",
+       "      <td>0.392377</td>\n",
+       "      <td>0.479065</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UNH</th>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>0.462337</td>\n",
+       "      <td>0.378167</td>\n",
+       "      <td>0.409963</td>\n",
+       "      <td>0.322509</td>\n",
+       "      <td>0.505540</td>\n",
+       "      <td>0.337498</td>\n",
+       "      <td>0.426561</td>\n",
+       "      <td>0.515648</td>\n",
+       "      <td>0.469692</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.459719</td>\n",
+       "      <td>0.573321</td>\n",
+       "      <td>0.531681</td>\n",
+       "      <td>0.517897</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.497279</td>\n",
+       "      <td>0.434074</td>\n",
+       "      <td>0.535468</td>\n",
+       "      <td>0.496914</td>\n",
+       "      <td>0.454074</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MMM</th>\n",
+       "      <td>0.705586</td>\n",
+       "      <td>0.493965</td>\n",
+       "      <td>0.319526</td>\n",
+       "      <td>0.428878</td>\n",
+       "      <td>0.369862</td>\n",
+       "      <td>0.474353</td>\n",
+       "      <td>0.268799</td>\n",
+       "      <td>0.380771</td>\n",
+       "      <td>0.612809</td>\n",
+       "      <td>0.375233</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.513094</td>\n",
+       "      <td>0.615239</td>\n",
+       "      <td>0.603428</td>\n",
+       "      <td>0.517249</td>\n",
+       "      <td>0.497279</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.544738</td>\n",
+       "      <td>0.577708</td>\n",
+       "      <td>0.564033</td>\n",
+       "      <td>0.362342</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UPS</th>\n",
+       "      <td>0.633569</td>\n",
+       "      <td>0.487937</td>\n",
+       "      <td>0.333839</td>\n",
+       "      <td>0.394818</td>\n",
+       "      <td>0.350588</td>\n",
+       "      <td>0.426225</td>\n",
+       "      <td>0.302649</td>\n",
+       "      <td>0.360656</td>\n",
+       "      <td>0.492406</td>\n",
+       "      <td>0.361974</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.402171</td>\n",
+       "      <td>0.529992</td>\n",
+       "      <td>0.580435</td>\n",
+       "      <td>0.423147</td>\n",
+       "      <td>0.434074</td>\n",
+       "      <td>0.544738</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.496321</td>\n",
+       "      <td>0.448070</td>\n",
+       "      <td>0.328822</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ACN</th>\n",
+       "      <td>0.808055</td>\n",
+       "      <td>0.591231</td>\n",
+       "      <td>0.459697</td>\n",
+       "      <td>0.482439</td>\n",
+       "      <td>0.443488</td>\n",
+       "      <td>0.477271</td>\n",
+       "      <td>0.378277</td>\n",
+       "      <td>0.573153</td>\n",
+       "      <td>0.585783</td>\n",
+       "      <td>0.540575</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.531834</td>\n",
+       "      <td>0.679991</td>\n",
+       "      <td>0.634510</td>\n",
+       "      <td>0.519326</td>\n",
+       "      <td>0.535468</td>\n",
+       "      <td>0.577708</td>\n",
+       "      <td>0.496321</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.581741</td>\n",
+       "      <td>0.465686</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PPG</th>\n",
+       "      <td>0.698629</td>\n",
+       "      <td>0.465708</td>\n",
+       "      <td>0.371528</td>\n",
+       "      <td>0.381751</td>\n",
+       "      <td>0.386716</td>\n",
+       "      <td>0.394458</td>\n",
+       "      <td>0.236955</td>\n",
+       "      <td>0.397626</td>\n",
+       "      <td>0.581516</td>\n",
+       "      <td>0.405584</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.571292</td>\n",
+       "      <td>0.624727</td>\n",
+       "      <td>0.531371</td>\n",
+       "      <td>0.392377</td>\n",
+       "      <td>0.496914</td>\n",
+       "      <td>0.564033</td>\n",
+       "      <td>0.448070</td>\n",
+       "      <td>0.581741</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.338004</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NEE</th>\n",
+       "      <td>0.562373</td>\n",
+       "      <td>0.397040</td>\n",
+       "      <td>0.277875</td>\n",
+       "      <td>0.273910</td>\n",
+       "      <td>0.163250</td>\n",
+       "      <td>0.411663</td>\n",
+       "      <td>0.150619</td>\n",
+       "      <td>0.297884</td>\n",
+       "      <td>0.422481</td>\n",
+       "      <td>0.637052</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.346682</td>\n",
+       "      <td>0.430124</td>\n",
+       "      <td>0.380660</td>\n",
+       "      <td>0.479065</td>\n",
+       "      <td>0.454074</td>\n",
+       "      <td>0.362342</td>\n",
+       "      <td>0.328822</td>\n",
+       "      <td>0.465686</td>\n",
+       "      <td>0.338004</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>29 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          SP500      ORCL        SQ      NVDA      BABA       PFE      NFLX  \\\n",
+       "SP500  1.000000  0.717214  0.567302  0.619705  0.550555  0.630865  0.477013   \n",
+       "ORCL   0.717214  1.000000  0.386958  0.440505  0.401409  0.489646  0.368666   \n",
+       "SQ     0.567302  0.386958  1.000000  0.497670  0.435255  0.266798  0.406967   \n",
+       "NVDA   0.619705  0.440505  0.497670  1.000000  0.511204  0.302971  0.432834   \n",
+       "BABA   0.550555  0.401409  0.435255  0.511204  1.000000  0.271929  0.424142   \n",
+       "PFE    0.630865  0.489646  0.266798  0.302971  0.271929  1.000000  0.255231   \n",
+       "NFLX   0.477013  0.368666  0.406967  0.432834  0.424142  0.255231  1.000000   \n",
+       "CRM    0.661607  0.519628  0.522806  0.518064  0.459182  0.343271  0.517518   \n",
+       "GD     0.718211  0.491460  0.352706  0.381814  0.351660  0.471287  0.269976   \n",
+       "AMT    0.610404  0.449295  0.308892  0.317262  0.256468  0.426877  0.224412   \n",
+       "HD     0.785353  0.541672  0.450287  0.498425  0.365700  0.474578  0.356924   \n",
+       "FB     0.632176  0.457322  0.436800  0.483370  0.471006  0.324569  0.472848   \n",
+       "MSFT   0.835836  0.646769  0.543734  0.605723  0.543635  0.485601  0.524701   \n",
+       "WMT    0.461816  0.395912  0.187875  0.277849  0.186634  0.380353  0.239978   \n",
+       "VZ     0.512857  0.386823  0.139478  0.207164  0.149580  0.429250  0.129282   \n",
+       "MCD   -0.032453 -0.003682  0.027755  0.010267  0.017631 -0.038825 -0.016089   \n",
+       "SBUX   0.711353  0.527104  0.390464  0.384516  0.343242  0.401640  0.285326   \n",
+       "CLX    0.309705  0.260473  0.075674  0.162212  0.061895  0.291219  0.124540   \n",
+       "COST   0.585711  0.426380  0.292254  0.358869  0.267241  0.412793  0.312532   \n",
+       "PSX    0.678114  0.469504  0.352132  0.337503  0.324386  0.398428  0.208610   \n",
+       "BLK    0.820446  0.574767  0.431933  0.480509  0.454519  0.505123  0.343955   \n",
+       "TROW   0.800011  0.618554  0.409616  0.446315  0.411006  0.535580  0.336051   \n",
+       "JNJ    0.643808  0.499977  0.242864  0.321677  0.281382  0.603870  0.233285   \n",
+       "UNH    0.708231  0.462337  0.378167  0.409963  0.322509  0.505540  0.337498   \n",
+       "MMM    0.705586  0.493965  0.319526  0.428878  0.369862  0.474353  0.268799   \n",
+       "UPS    0.633569  0.487937  0.333839  0.394818  0.350588  0.426225  0.302649   \n",
+       "ACN    0.808055  0.591231  0.459697  0.482439  0.443488  0.477271  0.378277   \n",
+       "PPG    0.698629  0.465708  0.371528  0.381751  0.386716  0.394458  0.236955   \n",
+       "NEE    0.562373  0.397040  0.277875  0.273910  0.163250  0.411663  0.150619   \n",
+       "\n",
+       "            CRM        GD       AMT  ...       PSX       BLK      TROW  \\\n",
+       "SP500  0.661607  0.718211  0.610404  ...  0.678114  0.820446  0.800011   \n",
+       "ORCL   0.519628  0.491460  0.449295  ...  0.469504  0.574767  0.618554   \n",
+       "SQ     0.522806  0.352706  0.308892  ...  0.352132  0.431933  0.409616   \n",
+       "NVDA   0.518064  0.381814  0.317262  ...  0.337503  0.480509  0.446315   \n",
+       "BABA   0.459182  0.351660  0.256468  ...  0.324386  0.454519  0.411006   \n",
+       "PFE    0.343271  0.471287  0.426877  ...  0.398428  0.505123  0.535580   \n",
+       "NFLX   0.517518  0.269976  0.224412  ...  0.208610  0.343955  0.336051   \n",
+       "CRM    1.000000  0.390746  0.385774  ...  0.364246  0.517619  0.482899   \n",
+       "GD     0.390746  1.000000  0.433965  ...  0.575444  0.632679  0.637720   \n",
+       "AMT    0.385774  0.433965  1.000000  ...  0.366028  0.487550  0.449716   \n",
+       "HD     0.533627  0.563125  0.492019  ...  0.482809  0.644194  0.585338   \n",
+       "FB     0.559551  0.346451  0.354050  ...  0.362557  0.452998  0.463954   \n",
+       "MSFT   0.689552  0.499636  0.499342  ...  0.479977  0.644817  0.620536   \n",
+       "WMT    0.260476  0.293014  0.348438  ...  0.212599  0.338067  0.406592   \n",
+       "VZ     0.219509  0.381099  0.416023  ...  0.335214  0.391162  0.414118   \n",
+       "MCD    0.010782 -0.054651 -0.045105  ... -0.006914 -0.029351 -0.044150   \n",
+       "SBUX   0.457296  0.494361  0.480262  ...  0.498375  0.589911  0.521928   \n",
+       "CLX    0.162881  0.189859  0.350655  ...  0.084340  0.229408  0.263170   \n",
+       "COST   0.362922  0.379336  0.375531  ...  0.286191  0.442151  0.487109   \n",
+       "PSX    0.364246  0.575444  0.366028  ...  1.000000  0.548150  0.570340   \n",
+       "BLK    0.517619  0.632679  0.487550  ...  0.548150  1.000000  0.775532   \n",
+       "TROW   0.482899  0.637720  0.449716  ...  0.570340  0.775532  1.000000   \n",
+       "JNJ    0.350679  0.463809  0.491896  ...  0.373861  0.538297  0.509898   \n",
+       "UNH    0.426561  0.515648  0.469692  ...  0.459719  0.573321  0.531681   \n",
+       "MMM    0.380771  0.612809  0.375233  ...  0.513094  0.615239  0.603428   \n",
+       "UPS    0.360656  0.492406  0.361974  ...  0.402171  0.529992  0.580435   \n",
+       "ACN    0.573153  0.585783  0.540575  ...  0.531834  0.679991  0.634510   \n",
+       "PPG    0.397626  0.581516  0.405584  ...  0.571292  0.624727  0.531371   \n",
+       "NEE    0.297884  0.422481  0.637052  ...  0.346682  0.430124  0.380660   \n",
+       "\n",
+       "            JNJ       UNH       MMM       UPS       ACN       PPG       NEE  \n",
+       "SP500  0.643808  0.708231  0.705586  0.633569  0.808055  0.698629  0.562373  \n",
+       "ORCL   0.499977  0.462337  0.493965  0.487937  0.591231  0.465708  0.397040  \n",
+       "SQ     0.242864  0.378167  0.319526  0.333839  0.459697  0.371528  0.277875  \n",
+       "NVDA   0.321677  0.409963  0.428878  0.394818  0.482439  0.381751  0.273910  \n",
+       "BABA   0.281382  0.322509  0.369862  0.350588  0.443488  0.386716  0.163250  \n",
+       "PFE    0.603870  0.505540  0.474353  0.426225  0.477271  0.394458  0.411663  \n",
+       "NFLX   0.233285  0.337498  0.268799  0.302649  0.378277  0.236955  0.150619  \n",
+       "CRM    0.350679  0.426561  0.380771  0.360656  0.573153  0.397626  0.297884  \n",
+       "GD     0.463809  0.515648  0.612809  0.492406  0.585783  0.581516  0.422481  \n",
+       "AMT    0.491896  0.469692  0.375233  0.361974  0.540575  0.405584  0.637052  \n",
+       "HD     0.455767  0.557355  0.544081  0.497412  0.658139  0.570022  0.475322  \n",
+       "FB     0.334978  0.396961  0.364097  0.367797  0.517254  0.355863  0.290893  \n",
+       "MSFT   0.519689  0.564042  0.515009  0.478763  0.704062  0.488388  0.440207  \n",
+       "WMT    0.399855  0.332521  0.317887  0.349254  0.360491  0.218643  0.367207  \n",
+       "VZ     0.479911  0.382885  0.384224  0.349115  0.411453  0.306964  0.484738  \n",
+       "MCD   -0.059683 -0.009430 -0.030565 -0.067445 -0.037118 -0.026569 -0.073236  \n",
+       "SBUX   0.435321  0.498597  0.495905  0.417440  0.614769  0.521976  0.428090  \n",
+       "CLX    0.366733  0.215692  0.209413  0.232319  0.272367  0.127619  0.409847  \n",
+       "COST   0.472884  0.419567  0.403851  0.436347  0.477749  0.324210  0.351795  \n",
+       "PSX    0.373861  0.459719  0.513094  0.402171  0.531834  0.571292  0.346682  \n",
+       "BLK    0.538297  0.573321  0.615239  0.529992  0.679991  0.624727  0.430124  \n",
+       "TROW   0.509898  0.531681  0.603428  0.580435  0.634510  0.531371  0.380660  \n",
+       "JNJ    1.000000  0.517897  0.517249  0.423147  0.519326  0.392377  0.479065  \n",
+       "UNH    0.517897  1.000000  0.497279  0.434074  0.535468  0.496914  0.454074  \n",
+       "MMM    0.517249  0.497279  1.000000  0.544738  0.577708  0.564033  0.362342  \n",
+       "UPS    0.423147  0.434074  0.544738  1.000000  0.496321  0.448070  0.328822  \n",
+       "ACN    0.519326  0.535468  0.577708  0.496321  1.000000  0.581741  0.465686  \n",
+       "PPG    0.392377  0.496914  0.564033  0.448070  0.581741  1.000000  0.338004  \n",
+       "NEE    0.479065  0.454074  0.362342  0.328822  0.465686  0.338004  1.000000  \n",
+       "\n",
+       "[29 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#calculating Correlation of portfolio stocks to the stock market\n",
+    "\n",
+    "correlation_of_portfolio = daily_returns_of_SP500_general_stock_picks.corr()\n",
+    "\n",
+    "correlation_of_portfolio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x1080 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Visualization of the Correlations\n",
+    "\n",
+    "plt.subplots(figsize=(20,15))\n",
+    "sns.heatmap(correlation_of_portfolio);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Creating a Formula that will help us determine which stocks we will pick in our Portfolio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Beta</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Stock</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.976955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>1.573336</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.976955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.925997</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.708603</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           Beta\n",
+       "Stock          \n",
+       "ORCL   0.976955\n",
+       "SQ     1.573336\n",
+       "NVDA   0.976955\n",
+       "BABA   0.925997\n",
+       "PFE    0.708603"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Creating a df to compare beta and correlations\n",
+    "\n",
+    "raw_beta = {\n",
+    "  \"ORCL\": ORCL_beta,\n",
+    "  \"SQ\" : SQ_beta,\n",
+    "  \"NVDA\": ORCL_beta,\n",
+    "  \"BABA\": BABA_beta,\n",
+    "  \"PFE\": PFE_beta,\n",
+    "  \"NFLX\": NFLX_beta,\n",
+    "  \"CRM\": CRM_beta,\n",
+    "  \"GD\": GD_beta,\n",
+    "  \"AMT\": AMT_beta,\n",
+    "  \"HD\": HD_beta,\n",
+    "  \"FB\": FB_beta,\n",
+    "  \"MSFT\": MSFT_beta,\n",
+    "  \"WMT\": WMT_beta,\n",
+    "  \"VZ\": VZ_beta,\n",
+    "  \"MCD\": MCD_beta,\n",
+    "  \"SBUX\": SBUX_beta,\n",
+    "  \"CLX\": CLX_beta,\n",
+    "  \"COST\": COST_beta,\n",
+    "  \"PSX\": PSX_beta,\n",
+    "  \"BLK\": BLK_beta,\n",
+    "  \"TROW\": TROW_beta,\n",
+    "  \"JNJ\": JNJ_beta,\n",
+    "  \"UNH\": UNH_beta,\n",
+    "  \"MMM\": MMM_beta,\n",
+    "  \"UPS\": UPS_beta,\n",
+    "  \"ACN\": ACN_beta,\n",
+    "  \"PPG\": PPG_beta,\n",
+    "  \"NEE\": NEE_beta\n",
+    "}\n",
+    "beta_df = pd.DataFrame(list(raw_beta.items()),columns = ['Stock','Beta']) \n",
+    "\n",
+    "beta_df.set_index('Stock', inplace=True)\n",
+    "\n",
+    "beta_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>SP500</th>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.717214</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>0.567302</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.619705</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.550555</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          SP500\n",
+       "SP500  1.000000\n",
+       "ORCL   0.717214\n",
+       "SQ     0.567302\n",
+       "NVDA   0.619705\n",
+       "BABA   0.550555"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#dropping excess correlations to show only correlation of Portfolio to SP500\n",
+    "\n",
+    "correlation_of_portfolio_only_to_SP500 = correlation_of_portfolio.drop(columns=['ORCL','SQ','NVDA','BABA','PFE','NFLX','CRM','GD','AMT','HD','FB','MSFT','WMT', 'VZ','MCD','SBUX','CLX','COST','PSX','BLK','TROW','JNJ','UNH','MMM','UPS','ACN','PPG','NEE'])\n",
+    "\n",
+    "correlation_of_portfolio_only_to_SP500.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Beta</th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.717214</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>1.573336</td>\n",
+       "      <td>0.567302</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.619705</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.925997</td>\n",
+       "      <td>0.550555</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.708603</td>\n",
+       "      <td>0.630865</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Beta     SP500\n",
+       "ORCL  0.976955  0.717214\n",
+       "SQ    1.573336  0.567302\n",
+       "NVDA  0.976955  0.619705\n",
+       "BABA  0.925997  0.550555\n",
+       "PFE   0.708603  0.630865"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#combining both df's\n",
+    "\n",
+    "correlation_beta_df = pd.concat([beta_df,correlation_of_portfolio_only_to_SP500], axis='columns', join='outer')\n",
+    "\n",
+    "correlation_beta_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#creating our formula to decide how we choose stocks\n",
+    "\n",
+    "correlation_beta_df['Beta/SP500'] = correlation_beta_df['Beta']/correlation_beta_df['SP500']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Beta</th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>Beta/SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>1.362152</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>1.573336</td>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>2.773364</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>1.576484</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.925997</td>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>1.681935</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.708603</td>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>1.123225</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Beta     SP500  Beta/SP500\n",
+       "ORCL  0.976955  0.717214    1.362152\n",
+       "SQ    1.573336  0.567302    2.773364\n",
+       "NVDA  0.976955  0.619705    1.576484\n",
+       "BABA  0.925997  0.550555    1.681935\n",
+       "PFE   0.708603  0.630865    1.123225"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#implementing our formula\n",
+    "\n",
+    "\n",
+    "correlation_beta_df.dropna(inplace=True)\n",
+    "\n",
+    "correlation_beta_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Beta</th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>Beta/SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>MCD</th>\n",
+       "      <td>-0.031713</td>\n",
+       "      <td>-0.032453</td>\n",
+       "      <td>0.977200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>VZ</th>\n",
+       "      <td>0.517081</td>\n",
+       "      <td>0.512857</td>\n",
+       "      <td>1.008236</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>JNJ</th>\n",
+       "      <td>0.663617</td>\n",
+       "      <td>0.643808</td>\n",
+       "      <td>1.030768</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COST</th>\n",
+       "      <td>0.652210</td>\n",
+       "      <td>0.585711</td>\n",
+       "      <td>1.113536</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.708603</td>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>1.123225</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CLX</th>\n",
+       "      <td>0.349327</td>\n",
+       "      <td>0.309705</td>\n",
+       "      <td>1.127936</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>WMT</th>\n",
+       "      <td>0.537768</td>\n",
+       "      <td>0.461816</td>\n",
+       "      <td>1.164464</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NEE</th>\n",
+       "      <td>0.677376</td>\n",
+       "      <td>0.562373</td>\n",
+       "      <td>1.204495</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>GD</th>\n",
+       "      <td>0.916454</td>\n",
+       "      <td>0.718211</td>\n",
+       "      <td>1.276024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MMM</th>\n",
+       "      <td>0.901159</td>\n",
+       "      <td>0.705586</td>\n",
+       "      <td>1.277179</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ACN</th>\n",
+       "      <td>1.057432</td>\n",
+       "      <td>0.808055</td>\n",
+       "      <td>1.308614</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UPS</th>\n",
+       "      <td>0.835932</td>\n",
+       "      <td>0.633569</td>\n",
+       "      <td>1.319401</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HD</th>\n",
+       "      <td>1.044135</td>\n",
+       "      <td>0.785353</td>\n",
+       "      <td>1.329509</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.821152</td>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>1.345260</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>1.362152</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PPG</th>\n",
+       "      <td>0.974695</td>\n",
+       "      <td>0.698629</td>\n",
+       "      <td>1.395153</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SBUX</th>\n",
+       "      <td>1.001966</td>\n",
+       "      <td>0.711353</td>\n",
+       "      <td>1.408537</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>1.199711</td>\n",
+       "      <td>0.835836</td>\n",
+       "      <td>1.435343</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UNH</th>\n",
+       "      <td>1.034679</td>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>1.460935</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TROW</th>\n",
+       "      <td>1.210759</td>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>1.513428</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BLK</th>\n",
+       "      <td>1.244514</td>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>1.516876</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>1.576484</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FB</th>\n",
+       "      <td>1.063249</td>\n",
+       "      <td>0.632176</td>\n",
+       "      <td>1.681887</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.925997</td>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>1.681935</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CRM</th>\n",
+       "      <td>1.174147</td>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>1.774688</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PSX</th>\n",
+       "      <td>1.210977</td>\n",
+       "      <td>0.678114</td>\n",
+       "      <td>1.785802</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NFLX</th>\n",
+       "      <td>1.001225</td>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>2.098947</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>1.573336</td>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>2.773364</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Beta     SP500  Beta/SP500\n",
+       "MCD  -0.031713 -0.032453    0.977200\n",
+       "VZ    0.517081  0.512857    1.008236\n",
+       "JNJ   0.663617  0.643808    1.030768\n",
+       "COST  0.652210  0.585711    1.113536\n",
+       "PFE   0.708603  0.630865    1.123225\n",
+       "CLX   0.349327  0.309705    1.127936\n",
+       "WMT   0.537768  0.461816    1.164464\n",
+       "NEE   0.677376  0.562373    1.204495\n",
+       "GD    0.916454  0.718211    1.276024\n",
+       "MMM   0.901159  0.705586    1.277179\n",
+       "ACN   1.057432  0.808055    1.308614\n",
+       "UPS   0.835932  0.633569    1.319401\n",
+       "HD    1.044135  0.785353    1.329509\n",
+       "AMT   0.821152  0.610404    1.345260\n",
+       "ORCL  0.976955  0.717214    1.362152\n",
+       "PPG   0.974695  0.698629    1.395153\n",
+       "SBUX  1.001966  0.711353    1.408537\n",
+       "MSFT  1.199711  0.835836    1.435343\n",
+       "UNH   1.034679  0.708231    1.460935\n",
+       "TROW  1.210759  0.800011    1.513428\n",
+       "BLK   1.244514  0.820446    1.516876\n",
+       "NVDA  0.976955  0.619705    1.576484\n",
+       "FB    1.063249  0.632176    1.681887\n",
+       "BABA  0.925997  0.550555    1.681935\n",
+       "CRM   1.174147  0.661607    1.774688\n",
+       "PSX   1.210977  0.678114    1.785802\n",
+       "NFLX  1.001225  0.477013    2.098947\n",
+       "SQ    1.573336  0.567302    2.773364"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Reading the data in ascending order\n",
+    "\n",
+    "correlation_beta_df.sort_values('Beta/SP500', ascending=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "From here we decided to use our new formula to pick the stocks with the highest numeric value. We did however take the executive decision to replace 2 stocks PSX with PFE and SBUX with COST. The reason behind this was because we did not believe in the reliability of energy sector and Costco seemed to have better future growth capabilities. Our portfolio consist of the following stocks: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ.\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(F\"From here we decided to use our new formula to pick the stocks with the highest numeric value. We did however take the executive decision to replace 2 stocks PSX with PFE and SBUX with COST. The reason behind this was because we did not believe in the reliability of energy sector and Costco seemed to have better future growth capabilities. Our portfolio consist of the following stocks: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Analyze the S&P500 with our Final Portfolio Positions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.38</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>102.49</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>158.38</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.28</td>\n",
+       "      <td>103.37</td>\n",
+       "      <td>100.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>...</td>\n",
+       "      <td>91.67</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>102.48</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>158.95</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>104.62</td>\n",
+       "      <td>101.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.17</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>102.77</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>158.65</td>\n",
+       "      <td>103.59</td>\n",
+       "      <td>107.84</td>\n",
+       "      <td>105.47</td>\n",
+       "      <td>100.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>...</td>\n",
+       "      <td>93.13</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>102.04</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>157.75</td>\n",
+       "      <td>103.40</td>\n",
+       "      <td>107.35</td>\n",
+       "      <td>105.49</td>\n",
+       "      <td>99.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.77</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>101.96</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>157.63</td>\n",
+       "      <td>103.49</td>\n",
+       "      <td>107.10</td>\n",
+       "      <td>106.46</td>\n",
+       "      <td>98.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>138.210007</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>140.919998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>...</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>138.550003</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>138.429993</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>...</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>138.220001</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>...</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  SP500       ORCL          SQ        NVDA        BABA  \\\n",
+       "2015-11-19  2081.239990  36.108597   13.070000   30.458263   77.870003   \n",
+       "2015-11-20  2089.169922  36.404728   12.850000   30.722525   79.949997   \n",
+       "2015-11-23  2086.590088  36.219639   12.120000   30.262524   81.309998   \n",
+       "2015-11-24  2089.139893  36.515770   12.020000   30.507206   80.860001   \n",
+       "2015-11-25  2088.870117  36.330700   11.900000   30.468054   81.709999   \n",
+       "...                 ...        ...         ...         ...         ...   \n",
+       "2020-09-25  3298.459961  59.799999  157.720001  514.950012  271.089996   \n",
+       "2020-09-28  3351.600098  59.580002  160.759995  521.400024  276.010010   \n",
+       "2020-09-29  3335.469971  59.470001  164.809998  529.030029  276.929993   \n",
+       "2020-09-30  3363.000000  59.700001  162.550003  541.219971  293.980011   \n",
+       "2020-10-01  3380.800049  59.680000  168.490005  544.580017  290.049988   \n",
+       "\n",
+       "                  PFE        NFLX         CRM          GD     AMT  ...    PSX  \\\n",
+       "2015-11-19  27.049994  120.220001   80.639999  130.626297   99.63  ...  92.38   \n",
+       "2015-11-20  26.957846  123.839996   80.989998  130.896194  100.49  ...  91.67   \n",
+       "2015-11-23  26.245783  125.029999   80.779999  130.077530   99.94  ...  92.17   \n",
+       "2015-11-24  26.781923  123.309998   80.389999  130.923172   99.26  ...  93.13   \n",
+       "2015-11-25  27.535873  124.160004   80.410004  130.608292   99.09  ...  92.77   \n",
+       "...               ...         ...         ...         ...     ...  ...    ...   \n",
+       "2020-09-25  36.049999  482.880005  242.740005  138.210007  239.81  ...  52.88   \n",
+       "2020-09-28  36.389999  490.649994  246.669998  140.919998  240.00  ...  53.98   \n",
+       "2020-09-29  36.169998  493.480011  247.449997  138.550003  240.12  ...  52.19   \n",
+       "2020-09-30  36.700001  500.029999  251.320007  138.429993  241.73  ...  51.84   \n",
+       "2020-10-01  36.369999  527.510010  253.449997  138.220001  242.15  ...  50.28   \n",
+       "\n",
+       "               BLK    TROW     JNJ     UNH     MMM     UPS     ACN     PPG  \\\n",
+       "2015-11-19  359.09   76.38  102.49  110.63  158.38  104.10  107.28  103.37   \n",
+       "2015-11-20  362.46   76.37  102.48  112.97  158.95  104.10  107.97  104.62   \n",
+       "2015-11-23  363.25   76.15  102.77  112.16  158.65  103.59  107.84  105.47   \n",
+       "2015-11-24  356.81   75.62  102.04  113.19  157.75  103.40  107.35  105.49   \n",
+       "2015-11-25  360.62   76.01  101.96  114.41  157.63  103.49  107.10  106.46   \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...   \n",
+       "2020-09-25  547.81  125.22  145.66  302.50  160.27  166.12  214.63  120.25   \n",
+       "2020-09-28  558.65  128.55  147.11  303.23  161.66  168.90  222.78  121.74   \n",
+       "2020-09-29  554.80  127.49  147.06  304.15  159.81  168.50  224.08  120.33   \n",
+       "2020-09-30  563.55  128.22  148.88  311.77  160.18  166.63  225.99  122.08   \n",
+       "2020-10-01  567.91  128.04  147.32  313.07  158.79  167.65  225.18  121.78   \n",
+       "\n",
+       "               NEE  \n",
+       "2015-11-19  100.99  \n",
+       "2015-11-20  101.02  \n",
+       "2015-11-23  100.49  \n",
+       "2015-11-24   99.41  \n",
+       "2015-11-25   98.88  \n",
+       "...            ...  \n",
+       "2020-09-25  281.82  \n",
+       "2020-09-28  284.14  \n",
+       "2020-09-29  283.12  \n",
+       "2020-09-30  277.56  \n",
+       "2020-10-01  282.76  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    " # Set the file paths for the CSVs \n",
+    "Combined_portfolio =  Path(\"../CSVs/combined_close_data_SP500_group_portfolio.csv\")\n",
+    "\n",
+    "\n",
+    "# Read the daily closing prices of MSFT, set the `date` as a datetime index\n",
+    "combined_portfolio_df = pd.read_csv(Combined_portfolio, index_col=0, parse_dates=True, infer_datetime_format=True)\n",
+    "\n",
+    "combined_portfolio_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.002066</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.007686</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>-0.000098</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.003599</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.006432</td>\n",
+       "      <td>0.012092</td>\n",
+       "      <td>0.000297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.006254</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.005454</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>0.002830</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>-0.001887</td>\n",
+       "      <td>-0.004899</td>\n",
+       "      <td>-0.001204</td>\n",
+       "      <td>0.008125</td>\n",
+       "      <td>-0.005246</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>0.006501</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.010416</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>-0.007103</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>-0.005673</td>\n",
+       "      <td>-0.001834</td>\n",
+       "      <td>-0.004544</td>\n",
+       "      <td>0.000190</td>\n",
+       "      <td>-0.010747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.002405</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.003866</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>-0.000784</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>-0.000761</td>\n",
+       "      <td>0.000870</td>\n",
+       "      <td>-0.002329</td>\n",
+       "      <td>0.009195</td>\n",
+       "      <td>-0.005331</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.002617</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.000108</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>0.004021</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>0.002284</td>\n",
+       "      <td>0.006667</td>\n",
+       "      <td>0.003361</td>\n",
+       "      <td>-0.002348</td>\n",
+       "      <td>0.004956</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500      ORCL        SQ      NVDA      BABA       PFE  \\\n",
+       "2015-11-20  0.003810  0.008201 -0.016832  0.008676  0.026711 -0.003407   \n",
+       "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973  0.017011 -0.026414   \n",
+       "2015-11-24  0.001222  0.008176 -0.008251  0.008085 -0.005534  0.020428   \n",
+       "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283  0.010512  0.028151   \n",
+       "2015-11-27  0.000594 -0.002038  0.012605  0.008352 -0.004039 -0.002434   \n",
+       "\n",
+       "                NFLX       CRM        GD       AMT  ...       PSX       BLK  \\\n",
+       "2015-11-20  0.030111  0.004340  0.002066  0.008632  ... -0.007686  0.009385   \n",
+       "2015-11-23  0.009609 -0.002593 -0.006254 -0.005473  ...  0.005454  0.002180   \n",
+       "2015-11-24 -0.013757 -0.004828  0.006501 -0.006804  ...  0.010416 -0.017729   \n",
+       "2015-11-25  0.006893  0.000249 -0.002405 -0.001713  ... -0.003866  0.010678   \n",
+       "2015-11-27  0.010309 -0.005472  0.002617  0.005954  ... -0.000108 -0.006184   \n",
+       "\n",
+       "                TROW       JNJ       UNH       MMM       UPS       ACN  \\\n",
+       "2015-11-20 -0.000131 -0.000098  0.021152  0.003599  0.000000  0.006432   \n",
+       "2015-11-23 -0.002881  0.002830 -0.007170 -0.001887 -0.004899 -0.001204   \n",
+       "2015-11-24 -0.006960 -0.007103  0.009183 -0.005673 -0.001834 -0.004544   \n",
+       "2015-11-25  0.005157 -0.000784  0.010778 -0.000761  0.000870 -0.002329   \n",
+       "2015-11-27 -0.000789  0.004021 -0.000612  0.002284  0.006667  0.003361   \n",
+       "\n",
+       "                 PPG       NEE  \n",
+       "2015-11-20  0.012092  0.000297  \n",
+       "2015-11-23  0.008125 -0.005246  \n",
+       "2015-11-24  0.000190 -0.010747  \n",
+       "2015-11-25  0.009195 -0.005331  \n",
+       "2015-11-27 -0.002348  0.004956  \n",
+       "\n",
+       "[5 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "daily_returns = combined_portfolio_df.pct_change()\n",
+    "daily_returns.head()\n",
+    "\n",
+    "daily_returns.dropna(inplace=True)\n",
+    "\n",
+    "daily_returns.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>PPG</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>0.009976</td>\n",
+       "      <td>0.004635</td>\n",
+       "      <td>0.001658</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.012092</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>-0.003448</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.002146</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>0.008125</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>-0.011314</td>\n",
+       "      <td>0.001107</td>\n",
+       "      <td>-0.007709</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>0.000190</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>-0.003121</td>\n",
+       "      <td>-0.010323</td>\n",
+       "      <td>0.001233</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>0.009195</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>0.000379</td>\n",
+       "      <td>0.004470</td>\n",
+       "      <td>0.007328</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>-0.002348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.015977</td>\n",
+       "      <td>0.008432</td>\n",
+       "      <td>0.035520</td>\n",
+       "      <td>0.042578</td>\n",
+       "      <td>0.005042</td>\n",
+       "      <td>0.008110</td>\n",
+       "      <td>0.020715</td>\n",
+       "      <td>0.021848</td>\n",
+       "      <td>0.015370</td>\n",
+       "      <td>0.021200</td>\n",
+       "      <td>0.022787</td>\n",
+       "      <td>-0.012738</td>\n",
+       "      <td>0.023848</td>\n",
+       "      <td>0.014502</td>\n",
+       "      <td>0.033623</td>\n",
+       "      <td>0.010929</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.016111</td>\n",
+       "      <td>-0.003679</td>\n",
+       "      <td>0.019275</td>\n",
+       "      <td>0.012526</td>\n",
+       "      <td>0.018149</td>\n",
+       "      <td>0.009431</td>\n",
+       "      <td>0.016091</td>\n",
+       "      <td>0.016190</td>\n",
+       "      <td>0.000792</td>\n",
+       "      <td>0.007849</td>\n",
+       "      <td>0.007795</td>\n",
+       "      <td>0.020550</td>\n",
+       "      <td>0.019788</td>\n",
+       "      <td>0.026593</td>\n",
+       "      <td>0.002413</td>\n",
+       "      <td>0.012391</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.004813</td>\n",
+       "      <td>-0.001846</td>\n",
+       "      <td>0.025193</td>\n",
+       "      <td>0.014634</td>\n",
+       "      <td>0.003333</td>\n",
+       "      <td>-0.006046</td>\n",
+       "      <td>0.005768</td>\n",
+       "      <td>0.003162</td>\n",
+       "      <td>0.000500</td>\n",
+       "      <td>0.019352</td>\n",
+       "      <td>-0.010409</td>\n",
+       "      <td>0.007208</td>\n",
+       "      <td>-0.006892</td>\n",
+       "      <td>-0.008246</td>\n",
+       "      <td>0.003034</td>\n",
+       "      <td>-0.011582</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.008254</td>\n",
+       "      <td>0.003867</td>\n",
+       "      <td>-0.013713</td>\n",
+       "      <td>0.023042</td>\n",
+       "      <td>0.061568</td>\n",
+       "      <td>0.014653</td>\n",
+       "      <td>0.013273</td>\n",
+       "      <td>0.015640</td>\n",
+       "      <td>0.006705</td>\n",
+       "      <td>0.000420</td>\n",
+       "      <td>0.014812</td>\n",
+       "      <td>0.008122</td>\n",
+       "      <td>0.015771</td>\n",
+       "      <td>0.005726</td>\n",
+       "      <td>0.025053</td>\n",
+       "      <td>0.014543</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.005293</td>\n",
+       "      <td>-0.000335</td>\n",
+       "      <td>0.036543</td>\n",
+       "      <td>0.006208</td>\n",
+       "      <td>-0.013368</td>\n",
+       "      <td>-0.008992</td>\n",
+       "      <td>0.054957</td>\n",
+       "      <td>0.008475</td>\n",
+       "      <td>0.001737</td>\n",
+       "      <td>0.018060</td>\n",
+       "      <td>0.010127</td>\n",
+       "      <td>0.009746</td>\n",
+       "      <td>0.007737</td>\n",
+       "      <td>-0.001404</td>\n",
+       "      <td>0.004170</td>\n",
+       "      <td>-0.002457</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500      ORCL        SQ      NVDA      BABA       PFE  \\\n",
+       "2015-11-20  0.003810  0.008201 -0.016832  0.008676  0.026711 -0.003407   \n",
+       "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973  0.017011 -0.026414   \n",
+       "2015-11-24  0.001222  0.008176 -0.008251  0.008085 -0.005534  0.020428   \n",
+       "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283  0.010512  0.028151   \n",
+       "2015-11-27  0.000594 -0.002038  0.012605  0.008352 -0.004039 -0.002434   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.015977  0.008432  0.035520  0.042578  0.005042  0.008110   \n",
+       "2020-09-28  0.016111 -0.003679  0.019275  0.012526  0.018149  0.009431   \n",
+       "2020-09-29 -0.004813 -0.001846  0.025193  0.014634  0.003333 -0.006046   \n",
+       "2020-09-30  0.008254  0.003867 -0.013713  0.023042  0.061568  0.014653   \n",
+       "2020-10-01  0.005293 -0.000335  0.036543  0.006208 -0.013368 -0.008992   \n",
+       "\n",
+       "                NFLX       CRM       AMT        FB      MSFT      COST  \\\n",
+       "2015-11-20  0.030111  0.004340  0.008632  0.009976  0.004635  0.001658   \n",
+       "2015-11-23  0.009609 -0.002593 -0.005473 -0.003448  0.000000  0.002146   \n",
+       "2015-11-24 -0.013757 -0.004828 -0.006804 -0.011314  0.001107 -0.007709   \n",
+       "2015-11-25  0.006893  0.000249 -0.001713 -0.003121 -0.010323  0.001233   \n",
+       "2015-11-27  0.010309 -0.005472  0.005954  0.000379  0.004470  0.007328   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.020715  0.021848  0.015370  0.021200  0.022787 -0.012738   \n",
+       "2020-09-28  0.016091  0.016190  0.000792  0.007849  0.007795  0.020550   \n",
+       "2020-09-29  0.005768  0.003162  0.000500  0.019352 -0.010409  0.007208   \n",
+       "2020-09-30  0.013273  0.015640  0.006705  0.000420  0.014812  0.008122   \n",
+       "2020-10-01  0.054957  0.008475  0.001737  0.018060  0.010127  0.009746   \n",
+       "\n",
+       "                 BLK      TROW       UNH       PPG  \n",
+       "2015-11-20  0.009385 -0.000131  0.021152  0.012092  \n",
+       "2015-11-23  0.002180 -0.002881 -0.007170  0.008125  \n",
+       "2015-11-24 -0.017729 -0.006960  0.009183  0.000190  \n",
+       "2015-11-25  0.010678  0.005157  0.010778  0.009195  \n",
+       "2015-11-27 -0.006184 -0.000789 -0.000612 -0.002348  \n",
+       "...              ...       ...       ...       ...  \n",
+       "2020-09-25  0.023848  0.014502  0.033623  0.010929  \n",
+       "2020-09-28  0.019788  0.026593  0.002413  0.012391  \n",
+       "2020-09-29 -0.006892 -0.008246  0.003034 -0.011582  \n",
+       "2020-09-30  0.015771  0.005726  0.025053  0.014543  \n",
+       "2020-10-01  0.007737 -0.001404  0.004170 -0.002457  \n",
+       "\n",
+       "[1224 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Drop stocks that are not being used in our portfolio\n",
+    "#Keep the following: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ\n",
+    "\n",
+    "Portfolio_returns= daily_returns.drop(columns=['GD','HD','WMT', 'VZ','MCD','SBUX','CLX','PSX','JNJ','MMM','UPS','ACN','NEE'])\n",
+    "\n",
+    "Core_returns= Portfolio_returns\n",
+    "\n",
+    "Core_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>PPG</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>SP500</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>0.632176</td>\n",
+       "      <td>0.835836</td>\n",
+       "      <td>0.585711</td>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>0.698629</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.386958</td>\n",
+       "      <td>0.440505</td>\n",
+       "      <td>0.401409</td>\n",
+       "      <td>0.489646</td>\n",
+       "      <td>0.368666</td>\n",
+       "      <td>0.519628</td>\n",
+       "      <td>0.449295</td>\n",
+       "      <td>0.457322</td>\n",
+       "      <td>0.646769</td>\n",
+       "      <td>0.426380</td>\n",
+       "      <td>0.574767</td>\n",
+       "      <td>0.618554</td>\n",
+       "      <td>0.462337</td>\n",
+       "      <td>0.465708</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>0.386958</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.497670</td>\n",
+       "      <td>0.435255</td>\n",
+       "      <td>0.266798</td>\n",
+       "      <td>0.406967</td>\n",
+       "      <td>0.522806</td>\n",
+       "      <td>0.308892</td>\n",
+       "      <td>0.436800</td>\n",
+       "      <td>0.543734</td>\n",
+       "      <td>0.292254</td>\n",
+       "      <td>0.431933</td>\n",
+       "      <td>0.409616</td>\n",
+       "      <td>0.378167</td>\n",
+       "      <td>0.371528</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>0.440505</td>\n",
+       "      <td>0.497670</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.511204</td>\n",
+       "      <td>0.302971</td>\n",
+       "      <td>0.432834</td>\n",
+       "      <td>0.518064</td>\n",
+       "      <td>0.317262</td>\n",
+       "      <td>0.483370</td>\n",
+       "      <td>0.605723</td>\n",
+       "      <td>0.358869</td>\n",
+       "      <td>0.480509</td>\n",
+       "      <td>0.446315</td>\n",
+       "      <td>0.409963</td>\n",
+       "      <td>0.381751</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>0.401409</td>\n",
+       "      <td>0.435255</td>\n",
+       "      <td>0.511204</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.271929</td>\n",
+       "      <td>0.424142</td>\n",
+       "      <td>0.459182</td>\n",
+       "      <td>0.256468</td>\n",
+       "      <td>0.471006</td>\n",
+       "      <td>0.543635</td>\n",
+       "      <td>0.267241</td>\n",
+       "      <td>0.454519</td>\n",
+       "      <td>0.411006</td>\n",
+       "      <td>0.322509</td>\n",
+       "      <td>0.386716</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>0.489646</td>\n",
+       "      <td>0.266798</td>\n",
+       "      <td>0.302971</td>\n",
+       "      <td>0.271929</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.255231</td>\n",
+       "      <td>0.343271</td>\n",
+       "      <td>0.426877</td>\n",
+       "      <td>0.324569</td>\n",
+       "      <td>0.485601</td>\n",
+       "      <td>0.412793</td>\n",
+       "      <td>0.505123</td>\n",
+       "      <td>0.535580</td>\n",
+       "      <td>0.505540</td>\n",
+       "      <td>0.394458</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NFLX</th>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>0.368666</td>\n",
+       "      <td>0.406967</td>\n",
+       "      <td>0.432834</td>\n",
+       "      <td>0.424142</td>\n",
+       "      <td>0.255231</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.517518</td>\n",
+       "      <td>0.224412</td>\n",
+       "      <td>0.472848</td>\n",
+       "      <td>0.524701</td>\n",
+       "      <td>0.312532</td>\n",
+       "      <td>0.343955</td>\n",
+       "      <td>0.336051</td>\n",
+       "      <td>0.337498</td>\n",
+       "      <td>0.236955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CRM</th>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>0.519628</td>\n",
+       "      <td>0.522806</td>\n",
+       "      <td>0.518064</td>\n",
+       "      <td>0.459182</td>\n",
+       "      <td>0.343271</td>\n",
+       "      <td>0.517518</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.385774</td>\n",
+       "      <td>0.559551</td>\n",
+       "      <td>0.689552</td>\n",
+       "      <td>0.362922</td>\n",
+       "      <td>0.517619</td>\n",
+       "      <td>0.482899</td>\n",
+       "      <td>0.426561</td>\n",
+       "      <td>0.397626</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>0.449295</td>\n",
+       "      <td>0.308892</td>\n",
+       "      <td>0.317262</td>\n",
+       "      <td>0.256468</td>\n",
+       "      <td>0.426877</td>\n",
+       "      <td>0.224412</td>\n",
+       "      <td>0.385774</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.354050</td>\n",
+       "      <td>0.499342</td>\n",
+       "      <td>0.375531</td>\n",
+       "      <td>0.487550</td>\n",
+       "      <td>0.449716</td>\n",
+       "      <td>0.469692</td>\n",
+       "      <td>0.405584</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FB</th>\n",
+       "      <td>0.632176</td>\n",
+       "      <td>0.457322</td>\n",
+       "      <td>0.436800</td>\n",
+       "      <td>0.483370</td>\n",
+       "      <td>0.471006</td>\n",
+       "      <td>0.324569</td>\n",
+       "      <td>0.472848</td>\n",
+       "      <td>0.559551</td>\n",
+       "      <td>0.354050</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.629071</td>\n",
+       "      <td>0.333109</td>\n",
+       "      <td>0.452998</td>\n",
+       "      <td>0.463954</td>\n",
+       "      <td>0.396961</td>\n",
+       "      <td>0.355863</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>0.835836</td>\n",
+       "      <td>0.646769</td>\n",
+       "      <td>0.543734</td>\n",
+       "      <td>0.605723</td>\n",
+       "      <td>0.543635</td>\n",
+       "      <td>0.485601</td>\n",
+       "      <td>0.524701</td>\n",
+       "      <td>0.689552</td>\n",
+       "      <td>0.499342</td>\n",
+       "      <td>0.629071</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.534779</td>\n",
+       "      <td>0.644817</td>\n",
+       "      <td>0.620536</td>\n",
+       "      <td>0.564042</td>\n",
+       "      <td>0.488388</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COST</th>\n",
+       "      <td>0.585711</td>\n",
+       "      <td>0.426380</td>\n",
+       "      <td>0.292254</td>\n",
+       "      <td>0.358869</td>\n",
+       "      <td>0.267241</td>\n",
+       "      <td>0.412793</td>\n",
+       "      <td>0.312532</td>\n",
+       "      <td>0.362922</td>\n",
+       "      <td>0.375531</td>\n",
+       "      <td>0.333109</td>\n",
+       "      <td>0.534779</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.442151</td>\n",
+       "      <td>0.487109</td>\n",
+       "      <td>0.419567</td>\n",
+       "      <td>0.324210</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BLK</th>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>0.574767</td>\n",
+       "      <td>0.431933</td>\n",
+       "      <td>0.480509</td>\n",
+       "      <td>0.454519</td>\n",
+       "      <td>0.505123</td>\n",
+       "      <td>0.343955</td>\n",
+       "      <td>0.517619</td>\n",
+       "      <td>0.487550</td>\n",
+       "      <td>0.452998</td>\n",
+       "      <td>0.644817</td>\n",
+       "      <td>0.442151</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.775532</td>\n",
+       "      <td>0.573321</td>\n",
+       "      <td>0.624727</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TROW</th>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>0.618554</td>\n",
+       "      <td>0.409616</td>\n",
+       "      <td>0.446315</td>\n",
+       "      <td>0.411006</td>\n",
+       "      <td>0.535580</td>\n",
+       "      <td>0.336051</td>\n",
+       "      <td>0.482899</td>\n",
+       "      <td>0.449716</td>\n",
+       "      <td>0.463954</td>\n",
+       "      <td>0.620536</td>\n",
+       "      <td>0.487109</td>\n",
+       "      <td>0.775532</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.531681</td>\n",
+       "      <td>0.531371</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UNH</th>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>0.462337</td>\n",
+       "      <td>0.378167</td>\n",
+       "      <td>0.409963</td>\n",
+       "      <td>0.322509</td>\n",
+       "      <td>0.505540</td>\n",
+       "      <td>0.337498</td>\n",
+       "      <td>0.426561</td>\n",
+       "      <td>0.469692</td>\n",
+       "      <td>0.396961</td>\n",
+       "      <td>0.564042</td>\n",
+       "      <td>0.419567</td>\n",
+       "      <td>0.573321</td>\n",
+       "      <td>0.531681</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.496914</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PPG</th>\n",
+       "      <td>0.698629</td>\n",
+       "      <td>0.465708</td>\n",
+       "      <td>0.371528</td>\n",
+       "      <td>0.381751</td>\n",
+       "      <td>0.386716</td>\n",
+       "      <td>0.394458</td>\n",
+       "      <td>0.236955</td>\n",
+       "      <td>0.397626</td>\n",
+       "      <td>0.405584</td>\n",
+       "      <td>0.355863</td>\n",
+       "      <td>0.488388</td>\n",
+       "      <td>0.324210</td>\n",
+       "      <td>0.624727</td>\n",
+       "      <td>0.531371</td>\n",
+       "      <td>0.496914</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          SP500      ORCL        SQ      NVDA      BABA       PFE      NFLX  \\\n",
+       "SP500  1.000000  0.717214  0.567302  0.619705  0.550555  0.630865  0.477013   \n",
+       "ORCL   0.717214  1.000000  0.386958  0.440505  0.401409  0.489646  0.368666   \n",
+       "SQ     0.567302  0.386958  1.000000  0.497670  0.435255  0.266798  0.406967   \n",
+       "NVDA   0.619705  0.440505  0.497670  1.000000  0.511204  0.302971  0.432834   \n",
+       "BABA   0.550555  0.401409  0.435255  0.511204  1.000000  0.271929  0.424142   \n",
+       "PFE    0.630865  0.489646  0.266798  0.302971  0.271929  1.000000  0.255231   \n",
+       "NFLX   0.477013  0.368666  0.406967  0.432834  0.424142  0.255231  1.000000   \n",
+       "CRM    0.661607  0.519628  0.522806  0.518064  0.459182  0.343271  0.517518   \n",
+       "AMT    0.610404  0.449295  0.308892  0.317262  0.256468  0.426877  0.224412   \n",
+       "FB     0.632176  0.457322  0.436800  0.483370  0.471006  0.324569  0.472848   \n",
+       "MSFT   0.835836  0.646769  0.543734  0.605723  0.543635  0.485601  0.524701   \n",
+       "COST   0.585711  0.426380  0.292254  0.358869  0.267241  0.412793  0.312532   \n",
+       "BLK    0.820446  0.574767  0.431933  0.480509  0.454519  0.505123  0.343955   \n",
+       "TROW   0.800011  0.618554  0.409616  0.446315  0.411006  0.535580  0.336051   \n",
+       "UNH    0.708231  0.462337  0.378167  0.409963  0.322509  0.505540  0.337498   \n",
+       "PPG    0.698629  0.465708  0.371528  0.381751  0.386716  0.394458  0.236955   \n",
+       "\n",
+       "            CRM       AMT        FB      MSFT      COST       BLK      TROW  \\\n",
+       "SP500  0.661607  0.610404  0.632176  0.835836  0.585711  0.820446  0.800011   \n",
+       "ORCL   0.519628  0.449295  0.457322  0.646769  0.426380  0.574767  0.618554   \n",
+       "SQ     0.522806  0.308892  0.436800  0.543734  0.292254  0.431933  0.409616   \n",
+       "NVDA   0.518064  0.317262  0.483370  0.605723  0.358869  0.480509  0.446315   \n",
+       "BABA   0.459182  0.256468  0.471006  0.543635  0.267241  0.454519  0.411006   \n",
+       "PFE    0.343271  0.426877  0.324569  0.485601  0.412793  0.505123  0.535580   \n",
+       "NFLX   0.517518  0.224412  0.472848  0.524701  0.312532  0.343955  0.336051   \n",
+       "CRM    1.000000  0.385774  0.559551  0.689552  0.362922  0.517619  0.482899   \n",
+       "AMT    0.385774  1.000000  0.354050  0.499342  0.375531  0.487550  0.449716   \n",
+       "FB     0.559551  0.354050  1.000000  0.629071  0.333109  0.452998  0.463954   \n",
+       "MSFT   0.689552  0.499342  0.629071  1.000000  0.534779  0.644817  0.620536   \n",
+       "COST   0.362922  0.375531  0.333109  0.534779  1.000000  0.442151  0.487109   \n",
+       "BLK    0.517619  0.487550  0.452998  0.644817  0.442151  1.000000  0.775532   \n",
+       "TROW   0.482899  0.449716  0.463954  0.620536  0.487109  0.775532  1.000000   \n",
+       "UNH    0.426561  0.469692  0.396961  0.564042  0.419567  0.573321  0.531681   \n",
+       "PPG    0.397626  0.405584  0.355863  0.488388  0.324210  0.624727  0.531371   \n",
+       "\n",
+       "            UNH       PPG  \n",
+       "SP500  0.708231  0.698629  \n",
+       "ORCL   0.462337  0.465708  \n",
+       "SQ     0.378167  0.371528  \n",
+       "NVDA   0.409963  0.381751  \n",
+       "BABA   0.322509  0.386716  \n",
+       "PFE    0.505540  0.394458  \n",
+       "NFLX   0.337498  0.236955  \n",
+       "CRM    0.426561  0.397626  \n",
+       "AMT    0.469692  0.405584  \n",
+       "FB     0.396961  0.355863  \n",
+       "MSFT   0.564042  0.488388  \n",
+       "COST   0.419567  0.324210  \n",
+       "BLK    0.573321  0.624727  \n",
+       "TROW   0.531681  0.531371  \n",
+       "UNH    1.000000  0.496914  \n",
+       "PPG    0.496914  1.000000  "
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "correlation_of_final_positions= Core_returns.corr()\n",
+    "correlation_of_final_positions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x1080 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Visualization of the Correlations\n",
+    "\n",
+    "plt.subplots(figsize=(20,15))\n",
+    "sns.heatmap(correlation_of_final_positions);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2015-11-20    0.006532\n",
+       "2015-11-23   -0.003925\n",
+       "2015-11-24   -0.000940\n",
+       "2015-11-25    0.002003\n",
+       "2015-11-27    0.001257\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Use the `dot` function to multiply the weights by each stock's daily return to get the portfolio daily return\n",
+    "weights = [0.40,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,]\n",
+    "core_portfolio_returns = Core_returns.dot(weights)\n",
+    "core_portfolio_returns.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    " # plot the daily portfolio returns\n",
+    "core_portfolio_returns.plot(figsize=(20,10), title=\"Daily Portfolio return\"); "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2015-11-20    0.006532\n",
+       "2015-11-23    0.002581\n",
+       "2015-11-24    0.001639\n",
+       "2015-11-25    0.003645\n",
+       "2015-11-27    0.004906\n",
+       "                ...   \n",
+       "2020-09-25    1.474158\n",
+       "2020-09-28    1.508525\n",
+       "2020-09-29    1.507425\n",
+       "2020-09-30    1.536714\n",
+       "2020-10-01    1.555398\n",
+       "Length: 1224, dtype: float64"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Calculating Cumulative Product\n",
+    "core_cumulative_returns = (1 + core_portfolio_returns).cumprod() - 1\n",
+    "core_cumulative_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "core_cumulative_returns.plot(figsize=(20,10), title=\"Cumulative Portfolio return\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.015977</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.016111</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.004813</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.008254</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.005293</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500\n",
+       "2015-11-20  0.003810\n",
+       "2015-11-23 -0.001235\n",
+       "2015-11-24  0.001222\n",
+       "2015-11-25 -0.000129\n",
+       "2015-11-27  0.000594\n",
+       "...              ...\n",
+       "2020-09-25  0.015977\n",
+       "2020-09-28  0.016111\n",
+       "2020-09-29 -0.004813\n",
+       "2020-09-30  0.008254\n",
+       "2020-10-01  0.005293\n",
+       "\n",
+       "[1224 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#SP500 daily returns\n",
+    "\n",
+    "SP500_daily_returns= Core_returns.drop(columns=['AMT', 'ORCL', 'PPG', 'COST', 'MSFT', 'UNH', 'TROW', 'BLK', 'NVDA', 'FB', 'BABA', 'CRM', 'PFE', 'NFLX', 'SQ'])\n",
+    "\n",
+    "SP500_daily_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>0.002571</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.003796</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>0.003666</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.004262</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.584853</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.610386</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>0.602636</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.615864</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.624416</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500\n",
+       "2015-11-20  0.003810\n",
+       "2015-11-23  0.002571\n",
+       "2015-11-24  0.003796\n",
+       "2015-11-25  0.003666\n",
+       "2015-11-27  0.004262\n",
+       "...              ...\n",
+       "2020-09-25  0.584853\n",
+       "2020-09-28  0.610386\n",
+       "2020-09-29  0.602636\n",
+       "2020-09-30  0.615864\n",
+       "2020-10-01  0.624416\n",
+       "\n",
+       "[1224 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Calculating Cumulative Product for SP500\n",
+    "Sp500_cumulative_returns = (1 + SP500_daily_returns).cumprod() - 1\n",
+    "Sp500_cumulative_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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5DKbQquYsbJVft/71oiFsdWx3aOurq4SFhQASUrnGqhl3vDb1j+qmJw7N+XUAAGiVfGiZhQ0NCUNb10VX6rqxoFF5PSQykIDuNNvC18n1ra2vLtFctyGTr38WttCSgXQqIoCEVM3MQAIAoNvkg5BZ2NCQ//zJe/TfPnv/rNYNK2UgFf8lgAR0p8ZqIBX4pa7dNdm6gyf1N99bU9frBKHVsiuW65sP7ZVUalNql9D2aiDVsawros3NllMLASSkygfc8UL7HRye0l2bj7Z7MwCcgvIhNZDQmJNTOR0emZ7Vun5xXGvLI0j0x4Du1NgQtvJl88XG4Z6tx7Wxf7Su13HD0L5wz46Kr1tr3bqKaIeFv28qS8LBqYQAElK5xm6GDCS00fWrD+iffryh3ZsB4BRUCCC1eytwqqicgeRu6NEfA7pRfo7Tebqb+o1wRbhdW9LIucy1NfXcQHHLTGQYxnYqIYCEVAFj7tEBJrN55WZx4gSAuQooor2gPLJ7SMuuWK4Dw5N1r7N7YFy7BybmcavS+Ueeu4bL0h9rqvt3DOgVn7ufwBzm3VyLaM+lhpLLImokm7aUgVR7Wfe6FNI+tRBAQqqgGC0ngIR2yuTCwkUcw0gAtJC1lrZngbllXb8k6fF9J+pe59VXP6RXX/3gfG1STKUMJIpoz4+P3bZFB4andGRkpt2bggWukRpIjjGlakWzmXnNtRtu1fkoom1tKUt3jELapxQCSB0qkw/0qi88oId3DbXsPW/dcFhjxQiyS5dkCBvaaaaBmSAAoFnyYbzzje5niuVjO/UjjQWNvF8ooj0/eooX6NQ5w3wL5phJP5sMJHdYJwNJ9VTRLgWQqr+v//RCnIltcDwz5xn0FioCSB1qfCavPYOT2n5srCXvNzA2o/9904aoYHE0CxsdFrSRC2DOdfw4ADTCnQO5uFw4TD3TD7VRpWPNPcysuM3VUzweyDLEfGskgyht0dnUQHJrhIlAUj3qHS7r/10LbQjb4HhGL/nUvfrCih3t3pSORACpQ7U6Zdm9z0yu8G8+CiCld1hmcoHe8LVHtGZ//angQKNcAIk7AABaKRfUXwMCaAYbG8JWnoGUDbiR0kwuA4ndivk2myFsvkC721UAACAASURBVNn0gZMBo0YCSFER7RrvG8YCSAsrA2l4MiNJum/bQJu3pDMRQOpQ0R2nFgWQXGfZ/VuahS39/YcmMlp/cETXrdzXku3DqSmTCGgCQCuQgbSAdehHGq975D3hbihW6I9hdnp7XACpcw6IMLTaeGik3ZuBJmuoiHZKAzWbGkjJVRqahS1Xbw2k0s/JDKT7tw/omgf31P+mHYqpNNIRQOpQpQyk1qQsu8bN3eGqlYHkGo1fbh/QyFR2/jcQp6R674IAQDO52R+JHy0cbgSbf0FwYHhSy65Yrvu3t/8us40FkNJqIDGErZk6sQbStSv36o+/+khDhd7R2dyEDPUvX/jXH3Gbn02aXFkAqYEMJJeBWyN44v9dyQykd373CV111/a637PTmHqKRZ3CCCB1KPedbNW0rS5glMsX/o1mYatwx8s1RNkg1B2bjrZgCxeOIyPTmswsrFTP+ZIcUgkAreA6xtx9XDhMVPOm9Nj6g4Vsj5+tP9yGLYqLBY1SgkkMYWuunuIVUCdlIG05Uqh7enR0us1bgmZpxvE1mz5wpSFstcIi1tro2rPW2y7kIWxOB8WXOwoBpA4VtriItSvQlktkIM1UuOPlN4id0PHqJv/1ql/qdz/zy3ZvRldwx18ndfAAtEcQWn3jwT2ays6tozo8kak5w6kr3E/Ts3Ck3VHupMLa8QBSeTCJIWzN5TKQOmmSDgp6LzyNBn+iydK8tmk2WfjJNeo9zP3rzlrHo79ZCy2A1Ennhk5EAKlDtbrD4E6guTBeA6lyBlLh3+ddcLbWHjip/UOT87+RC8jJqZxGpxfWjAXzoTQLG50q4FR315NH9em7tuuzd89tVpSbnjikv/zO49ENkzT5aAgbbc9Ck/aJdsKnHM86Kn+cWXGbyxSvELP5Tvj0C0rBA65eF4pGb4CmnXNm0wdOvm+lIWxbj4zp+NhM9Luf6Vjr9BfGhrAtzGuazmkdOgsBpA413ynL/+t7T+i/fvq+6PfkEDbXeZ6pMG2sa+De8OJnyRjpPTeu13S2sfH5D+8aOqXH9O8dnGj3JnQ8N4QtmMUUpgAWFtcejM2xozqdDRSEVlNVzlnunFitA/3k4VEtu2K5HtldPZsJnSFtCFsnidc9ogbSfOstHg+dlIHkPmzCRwtHM26AziYLP3lcV2r3Xvellfq9z94f/e4nDnzl/t362fr+iu+xkIew8R2sjgBSh4qKaFcI4MzVvdsGdGS0FHFODmELagyhc23ZBeeeppcue4o2Hx7V5sOjdb//sdEZ/cW3Vuuuzcdms/kLwkmKj9fkOsyzmYECwMLSU2cAYM/ghK59aE/F7CF3nqs2FK6eWdge2zMsqTCZBDpftaSOTsg0i83C5nW93LZl82FHbOdCEQ1h66AbVC5wSALSwtHo8LO0pWsFodLeI5fIrKvWj/av9ZKB6o/euqXiev5rjmfmdmNnw6GRrpww5+Y1h3T5Dev01mtXaWB8pvYKCwQBpA4VFdFuUdFE11lO1kDKVOiwuE51j5He9/uXFNepf1snix33U3kGtxOTCzPds1mstaUMpE66QwigLdwFX627sXdsPKp/u3O7jo9lUp93M6xNZirfoMlFs9BU5s6DbjpwdAc/u8cNFbKSdhwb18uv+qWGJ9KPm1pu3TC3epB+XyutoHZoG89muPvJo1q5a3BO27VQufakk4qTl2bgok1ZKJqRgVQrsJIWHEoe11ERbS86mfa6ycmbqr2z/7aNZiANTWS0e2BckrTt6Jj+5KuPaNXe4YZeo9kOnZgqm/GuVtD+I7du0b1bj+uxvcPacWx8PjevoxBA6lA2ykBqzYnN1T7KBuUX7GlZSK4Db4yJOs+NpFi6ZScbHPa2ELi2+8RkqZM6NJHRSz91r7YWZ+BA/LijBhIA13aOTue09kDlaa7dzYwtR9KzYpuVgeSaJbIFukVKEW3v52+u3KvDI9O6b9vsMso+dlvlO/X1qHSo+QGvRusgffmXu/XNlfvmslkLlpuFraMykIqb0mOkTf0j+tefbibrrEMcG52Jsk4b0XgNpMK/fhCxVh847T3KAkEpx9FUyiiXam3MTC6IBZ3c+bGvxzQcQLrsk/fq1Vc/JEk6eGJKkjTexhmqj4/N6L999n595u7tkuo/r2eDUC/+1XMlnVoT/hBA6lDuGEwb8x6GVres7S+Lks5FEA1hK9ZACqt3WFw71GuMerwAUiYfaP3Bk95y6V8md8Ke62w63ej0Rb2S4hlIR0amNTCe0bajnRVAemzPsK64ZVNb3tsPnnZSBw9Ae7iMgQd3DuqNX39Md2w6krqcO489eTi9PXUBpmoZSPXUQCpl4hJB6iapn6mVzlhcODe7DOlGL9yr1dSqR1gjA0kqvyisJQhtxVqWc/Xx27fUnM2wk3XkLGzeELa3XbdaNz5+UHsGJ06poTGd6k+++oje+s1VDa+XPL5qny7SimhXP0bTAhf+JBEbD43ojV9/rGyZyZSATVkbU3zpmVyg//Lp+/RzL9PSve85py3SRAMBpOTxPDheuKHezmDpQDFj+bFEFlTVLOTQKgitlhav66rdcFpoCCB1qGpFtG984qDef/NGXb/6YNPer1REO9RNjx/Uii3Ho+dSg1iu49xTCCK5x27dcERv/Pqj0dC0St+lejrwC5XbJScnS8P33P4f6bCZ2VbuGtRNTxxqy3vPeMfdqRTVB5AuGaj5l5s3pQbd3c2VShlIbtal6VzlDq97jaoBpLA0lBud687NR3Xl7VtLRbS95/xD6vQlfZJKgaBGzjvW2jnPkhargeT97G9Fo4W08/MUQLLW6nuP7tf9O7q3/pdrT3IddIOq9Lmb6IP/wC2b9dfffaJl2/Cp5Vt19T07W/Z+3eJYcaayRicMmnX/1WubamUgpc0o6j/2tutWp643kRJAqtSOHRud0cmpnI569XPd+fGc0xYpG4SpbU1aUOjISDyANFAMIDV7NOmqvcOpQbI02aCw7Yt66w+NuNE7S/sKAaRT6WY3AaQOFVYZwnZwuJDqN9e7XT4X0MkFoa746eZYBDZtG/yxtG4IWz6wGhzPKLSl2XIqRWNdY9hoQ9wO33hwj+5vYpFUt09OePWfXKMz2mE1oUp34VvfKPrH3alcRHvn8XF98o6tpLHjlJcM1Jy2uFdX3bW9rIPo2q0tFYYE13MDw3X6s0GoP7vmUa1Oqc3g+vRkIHW2h3YO6qfr+0vXYyltqZWNsoNdZnQjQ6fnGjySqmUgeRnhDZY1yFe4qJurmVyo0KZfuHYLlz3fSX9DNHypFD/S6HROTx4e087jramv8s2V+/Sl+3a15L26UaMT4DRagiGtq1er+5d2PehnElWq05cWXKkUpHaBI3e9Yq3VvxcDjWeftkhSeh2ktD8/+Z0bLGYk+X39bD6sO/iT5tjojN5y7Sr9880b61reteGLiwGkaFOq7Hu3L5YuKqxDBhLazh2DaZ2SseIX9OzT+pr2flER7ZRvetUMJC+AFFobNR7u+UrtZqkGUucPYfvOI/vnXBzzv376Pr38ql9KKu2TUS/byF3QdFoGkjsBtSMDqFkZSIdHpvWFFTu6NgDz9m+t1nUP74tSfIFTlUkEai55+pl6cOegnvfRX8Qed+3p4ZHp1Ika6qmB5M6FI1NZPbH/pDb1l2czpRUlRecJrdVUNkgdOuLqjFhbCEhKpYuxRgILzbgZZmNBI8V+dtue1id8YMeAfrDqQOpr5kOr6QoBJGvtrGc9cn23Tgq+NKq3uE+bWQ5iLiYzeW3qH5FUSD5xx4Pbxz9fX7sfGoS2an04zJ671mk0gNRwDaSGli5IDSB5x/Xzn3V29LPfDqZlIFUaJntsbFpS6fw6OJ7RT4vH5LmnuwBSTo/vO6H+k1PRerWG10ml4WN+G/hn33is7NzeCHd+315nYWuXibi4rxhAqmOdUgCpcO7okKakJQggdahoCFtqAKkQZDh76aLosUbHxSe5L04u5XVmUjOQCv/2GHlFtKWJ4jSOtQqQljrw7c9AGhzPpDaiTrUOWL2OjM7o8Eih8XUNpN9pcftrtMMCSO5E0Y4RZP5d07mkhV5+/Tp9+Ze7taNFd++aLTpMuEbFKS55E3VxMW1cKkxE4PjtRVoWUj2zsAVRVm4xGzgfKAitfvDY/qhtstGNlAb+CBVmxnrHtx9vbKWi+3cM6Mdr2jOsuFuFttBHqtW5dwGk6VkMYZtpcGhZmnjQyAsmSTqteIGS1tf70ROH9I0H96S+ZhBaTWfT//Afrzmk5/zfO3VstPH6Oi4zIJtvQ+egSTptCNs/3rg+GsojlS5gXb/81g1Hym6EnZjM6pN3bI361Fffs0Nv/Ppj2pwS8MbcuO/g6FRj/fRWDGtKC2D777vEO1f6pyv/HOiOoUrZlFEGkhtB4vXRz/EykN5703p9/hc7oufSrgP9bQtCq8GJTPSzs/HQSOp2+GZyQcWbw8Yrr1KPbCIDyV9vdCqnd/9wbdkMnS5It6QYdOqkemrzjQBSh6pWRHusGGRwB+ya/Sd0yYfumtXsAE7gDWFLqlTIWyrUP4qGsIVhSgZS+hc3ykBqY8V95yWfulev+Y+HKj6fD0NNN3E2PPfZ+p0W15iONHhimm9uu9qRlukHLueSgVS62JvzJrVJ12440FTJTJ/FvaXf/QumfGijgshpdZDqyUBKdvoz+VAP7RrUh2/doivv2Cpp9kPY1h8a0UM7B2c1icQ7v/OE/s9P2jOxQbcqlQQIir+nL+fOEZNRBlL9bW8zMpAq1kCypSKtaf2xiUy+4jC1fGijvzvpp+sK2QN7hyYa3lZ34dnNGUjGdNYQto39pQvm0NroeMwGoZYu6tHhkWmtPXAyts7Hb9+i6x7eF80c6Iqau3ouaB4XYD7ZYD+90f7zbPqqaaM5/AwkN8SqbD3vGmyq+J1OtjFuc1yg2fXH/T76uV4AKRuEsayfWhlIuSCMMpDS2uZKWZJjMzn9xofv1hcrDLd0Z+V696fbpigDyVtvY/+I7nrymDYdjvcnXMCIItroGFGHJyUSXArSFH53RQzX7J992mpURDstgFQlA8kYEyuindy2WIfI+8W9XydkIElS/8npis8FgdVME7cztOX7ulOLaLsTUHsCSF4G0hyi+t3entczDhtYSFbuGtTbv7W6rOPpZ/r0mFJHT5L2DJYugvNBqPPOXKJnnrM0NQPJBYcmq7TryboV2XyoM4tFlldsOSap1C5Wqi9R8bWL7z880Vk17xYq14a6LCH/s/Vjf+7znMq4Gkj1n3fSMrUbVanukVXphmFan3Ayk68YwAqqZFBHf/scLlgbCb5sPzbWUVnWrlZuozVq5ovfjvi7NZML9fL/dL4kaU0igOQCAO6zdIWeZ1uXrVuH+reCy0Ca7xpIs5H2/fe/m34Gks8ffTGRzSubD7VvaCp1WVf4unT+LK17VnFEzEQmL2vj5+O0GqZ+cH4mF0QZxGnBokqlTtxERLes60993n0FGs1AWpTIQLIqjQ5JXgvmihmYSxZRRBsdwjXi1YawuYPbBW3OXDr7mkjuoM+mHPxpHRY/dT82hK24LZ+5a7v++eaNsS+u34ikNUCdKheGcx7C5tjEXSXHDWfruCLaUQZS69/bP+6ePDz7dOzoJNCl7brb7E7p5ALzbf3BEa3cNVQ2tNi/KDLGxGZL8duLXGjV12N0wbmnxYa2jU7lND6Ti9realkjye9bJh9GbchQMfBTupHSwB+n0h3Z4cnOau8XKncOcJ932kWKtaXPxd3YauRiIK2P0OjFeLyIdnzbllYZwjaZCTRVYShHPgiVD21qoCeq/9TQVrr3bCyAlM2HesNXH9V3Htk3i3ebH+7v75QMpL6eUnsWWCur0o1kN0TID6pn8kHUZ3fDbo4XMzlmOywvbeZnFLgAUlpdvWqCBm+Aus+9kdNKagZSvnYGkn8OnMrk9aGfby4roO7aFVcDKYgmoSi9p7uZE4SFrfePv7T21v/OHR/LROfbtGDTWEphbilevy5No33+aAhbSgaSu7mfHKoczcJGEW10gnUHT0Z3TfOhLbsLOzYdHybmgjYuArx7YCJWwKwe1TKQ0lKj3Ze8p8d4AaQwCm7dveWYfrK2X9Z7Of/vcA3QVJUaFNXMx6wilVS7g9cov23xG3e3/zvp7pxUOh78z+7+7QNadsXy2IXZfPA/48+v2KkDw5Nzer1uH5vcjkLmt6zt10dvfbLl77tQ3PT4QX2Z2WwalqsQ4Onx7tAbxafb9dvTILDq6y1kx/rfm8tvWKcrfro5CthXG0Kd7PRn8kFZ59CfTEIqdJRv33ikZlFe9/edmJx9G/r+H9c3swxKwRh3HvcvUvyLNHesHBmdVhDaikH7Jw+PlgVrksPEwtDqj7/6iK5bubfu7axcA8l6GUil9xmdyum6lXuju/5pN/tKw03K+zAu8PmdR/brwz9vrJ13Q9iSNx2PjEzrVV94QEdH41nd+4cnNZ0LUmdpahc/QNMJhbT7vCG51trouM0GoZYujmc4TGcDPfdDd+uhnYNl60qzD4r5ba7bJ6/94kq95drHZvV6C0l0077B0huNZqX4M/G97KKn1LVOrSLasRpI3h2PnHeem8jk9WDxeEpzLFEDyT9/unNxYG1Z2+ifg7+wYoeWXbE81lb516tpAZhKNadq3bgpzSJdfTknW2EIm7U2Kh3jZ5r6s8S5/dsBzUjLEEDqQH/6tUf1kVu3RL8n7zi5QtXuO+mis+6gf/XVD+p3P3N/Q+/pThTpNZDqL6Kd7Bz4HTW/EYkaoFlkIN237bh+48N3a4NXYK3Ronb1stYqF9im1DeQ4o2jv6/9ItqznRVlPri7CEdHp6OA0Xcf3S9J0Wwh8yXZ4W103Lnj9man3GVslDsZtyOA9P6bN+p7j6XP7nMqyOSDOX3379h0VLduPNLELTo1uI5cskZQfAhbPAMpPiQ4VF9Pj3p6JD8OtPXomAbHMlG7Vm0IdfIOfiYXlg0xcm21266b1x7Se25crxsePxgtN5HJa9kVy3W7dxy4C4qhOQxhu2Vdf9XJH1ASZSDlKs8qalW6WXdgeEqP7B6KBRVcO7x677D+6MsP61sPxzNpkjeZth4d06b+Ue0dqv/GR6UMpDCUVwOptE0fue1JfXL5tmiCjrQgUT4KIJWf/1zg89E9Q7pjU2PtVJSBlOgf3vj4Qe0ZnNSPn4gPK9lRrInSSedhtylff2CP3vXDte3dGCWHsNlYapgLIAZRECPeH0peJM92P/tt4lTxeNp2dEyr9p56M7vlgjB2U9d999LKelQz276btdL5Zy6pa9nUIWzed3NJhQykwDvPTWWD2LBwXyYfROerUg3b0nsu6i0lEiT/Wv868NqH9ha3t3Tucu2XVAi8/9k1j+q6lXujrB6XmJBUCvCkPu2NPkhfYHQqpzs3H40+42QRbev9JdEQNq+Nfe0XH9Lrv/KIpFIGUqPZZt2MAFIXSBY0cx0B13l1AaW53EFxnYy0SHlap8S/8+o6IYG1ZR3aSkPY/FTxRtO83R2XDQcLY8H//Z6detGVK7SvgY6ak3zvA8OT+sovd0WPJ+9czpV/HvEvUNzJPrSN392YTy5r5zX/sVKXffJeSaWGshk1H6qZSXRMG53pyHGfZaWZJTpdJwxhO1XrInzstq366+8+Ef0+NpPTsiuW675tx+taf3Q619JsybnK5AO978cbdGSkck24VnAduWSAx/j5IiZeRDtelLOYgdRjovPO2ExOJyazyuSDaNlqNzCSnf5MEMY6qpl8eUd51/GJsu0+dKJwd/Urv9wdPea+yycms9o/NKl1B+N1TerlXhvVRecAl4GUUgPJ2ngfZWwmF2tz3TruYic5rDp5Plyx9XjsvevbTu/nxNHlzru3bzxa2sZExnJaP6UUQKqcgTSTC3RyKtdQUfdKNZDcfupNXF3sOt68ANLA+EzsonO2/P7p+oPlN8ROTmZ11+ajZY/Pl75EAMk/Bhb19hTaM3eBmjiskhnWsx3C5h8DyaDEtx7ep2VXLK95TO8bmmx4FEQnetcP1upFH18R/e6+Q2mF7KtptO8W27119nvTzmX+MVCpBpK/bROZfBQ8SXJFrv3X9d+zNIStPKCTFlPxMxcPezVog9Bq5/EJbT82HtUcTLZz0evWOA5dW5S21M7j43rRlSv099ev0/t+tKH4d8UzkPyPzSUp+G3snsHSNefSKAPp1OkrE0DqApUufJM1kOZSvMsd9H7Ko7sbUr0GkolOevkgrB5AigVMSlkVjV7YJ/9KV4F/YKzxqWiTX/Y7Nx/T51fsjII4lYZSzFYsA8kfcuFtx3xlU81GWmfP3Qlt1j6ppNLMMY0qZSB1d8PezrHV3Rp8m6vdA+NRUVKpFCD4shcMqKYQQOqefffAjkH9dN1hffS2LbUXbpIfrDqgf7hhXeyx0ixpydlg4kOP/Lul/vc7KNZA6vGGsB0cLlzQzOTC0iQOVYZQJ2/IJDOQxmZy0e9u0RPFmkZPOX1xaZtTvrbuYm94IqN/vnmj/vRrj85q2u12BJCmsnmNV7gj3KncBYw7nuLnfeMtFz+G/D6Ve6qveIGVS/QdksGbe6IAUgPbWbEGUmkWtnu3HY+mt+7tiXfhy74vtpRVlRZcKk1zXfjdFcmtR6UaSP4EK74dxQBSM84lH799q/7xxvVzfh1/fw9PZssyHf7hxnV69/XrtOyK5VH7MZ/8z9OfhU0qZHgUAkiF35O1YrL5+O/NyECazOSjQsWS9Ini7JO1AiL/5ycb9cGfNW/o+8D4TMN1h5rhvu0Dsd9blYHkznNW9ddBSuuPx4ewVchA8rZtKpvX4gqBpqOjpbbBBTEn0oawhWFZgDGtfIR/fPqTGIW2cO6dzgU6oxhAqlTao9ZxGAWQUhbbdrQ0uYZ7/1IRbVdbqbTiyHTh+KvUn3Ptc5dfZjSEAFIXSCuaKJW+HO5LnJtD6lzaELbTF1eeNta9VY8xUV2KiZl8WUPpf3HjGUil96k1E9vyTUe19kB5+myygzKbAEFyHXf3JfACXFKh89WMLIxYDaSUWdik2ddBmo/AU9o+dZH2ZDG5ZkveMa30Paip+CckU+27hTtmWjG7QyYfpF4cdlLdin1Dk/rREwdrL9gEA+OZ2HHX6Kxb3ZaBVK+Vuwb1hq890vCd2DQf/vmTumNT/C6/m9kkmRHht5/JIWzZWAZSqL7iHXv3mR0oXgD6GUhTucrHdXkR7SB2UT8+k48CDu49ThQvcvzjIyqI6h0y0Sxsk9nowj7tHFfLoZPTxYkZ5tY2DIzP6ODwlL503y6t2jus5ZuOVsxGedmn7tMLPrYi9blOFc2ulo3Xj/RZxetX5AMb61O5dRZ5N8x8ye+5u0BpJPDvLxobLqnSeVcq9dMWJereJC8i/f5YagZS4vdGMg/dDIbJGkiV2kgXfG+kn3Z4ZFpX37Oz7Pgem85pYDw92DU4ntHl16+rK8iZ7K8mg0QHvQDtw7uH6t3sWfMzkBIj2AoZSKaUgZSrETBqyhC2bKAXf+KesmVqvfb4TD42C9dc/cP166OyHoWyEq3ty7njz32HGu37Js8ljSTTJ69zKplMuRni7ycX4PDf//Lr1+kr95duhk1k0oewWSmqadZjatRACstv8qddmvpBuP6TU9EIg9AWas9NZwOdvrgQQKrU/6w1RM09n9YG+0Erdw0b1UDq7S2uV3jeqnRdVunGNkPY0JH8Trp/h8zawu+uYzyXC8yoiLZ3seTSB9Miri4YZLwaSGlT0McykFJqIEnVC5lKhcKnb/x67QJ+2aDxi5nkjBOuEU4b0teMO2dufyzu64nX7PB+dpHuRhw6MaUXf2KF1h6Y3VCIStKGRZ5WDCzOd2ZFcn/Pdf/PZnYRa61+/+oHdfOaQ3N677moVQNp98CEvrBiR1MCnF9YsVNvuXZV2ePtyjhYvXdYt244HHvsj7/ysD5wy+aWDKsbHM/EjptoeEYdnbowtBqb6cwA0u6B8arDVfYOTlTNMNx8eFTrD47UnB0xDK2++8i+hobGSNUykEqMiRfR9s9d+ZQMpP3FIvwzuTBq16tlIJUNYcvHM5DGZ/JRB/P+7QOayOSjDKT4DJvlx6m7I3tiMhvN7JMcsluPQyem9IavParnfujuhtd1Tkxm9dJP3aff+9z9uvqenXr/jzfq8hvW6UMViip30hDrernPyd1sSxvCJpUPs49P/BEPjCSPj0pDxGabgWSt1bt+sFY3rzkka+M1TNzx1ZMI0rht+Mzd2/X2b62O9bPSvs/JOHhDAaQKGUhpbeRMLoi+f43cyLn8+nX60n27tGsgHozI5sOKF5VX37NDyzcf1W0bj+juJ4/qkg/dVbEtS15Y7k9M1OHP+tg32zH0DSirgeRZ1Nujvh6j9QdHdHR0uuyGcfJzmO0NN39fVSrdkAxelT0fhDoyMj37m34JQxOZ6Ni84fGD+vUP3lX3iINDJ6b0iTu2VqwtenhkWp+5e3vV2qPZoJBV07IMJLe4ra90Q1+P0XTKzRD/mFjcW/5CyxPDMycz+dTlpFIG0jPOXlqzBpKs9KxzT4ueS5tZzb9eOzwyraedtVRS4TsZhFZT2Xz0mtkg1PhMTv/7pvUaHC8Npat1zVstQykWQDJumwr7q/S192/sF/Zvpe+EGyJ479aBhvs73YoAUhfwL9T9yHdorbZ6aXj1RuXX7C+/0+kahPiY2cId3LS7zGlD2NIyZ9I6YFL8i18rA6n8vdMfr+dkNTyRiV2QJveZa4Rdx8JPvWzGkC33ukv6ehTa0j7xG7qRWWQSHRubUWjV1Ls+UvrdQteR9QN/Jyez+ovrVuv4LIYRVpLskM8228H9BbO5azWRyWvXwIT+5Seb6l7n1g2H9YKP/qIp2Rm+tJOwJP3ltx/Xl3+5W4NNmBVv39BkNA2wr10ZSN9cuU9fWLEz9pibNGC+h5pPZvKaygbxb9G0hQAAIABJREFUDCRXNLmOM+d4cWakSlNoN9N9247rsk/eW1cbFYZWr776If3dD8qLxrp+057BSV2eGFbmc+13rYD1w7uH9LHbt+qTy7fV3C5Jeu9N6/WBn2xSplIAKTF7VnwIWyKA1NujHmOi4+Sgl4HkOorVaiAl275sPp6aPz6Ti76Taw6c1Pt+tEEnixlI/jGTFviOMpAmsrE6NI3qPzmlDYdG5jT19nCx3Xj+s87Wc59+VtSOHGjSkJ1cEOoDP9mUWhNleCLTcGc7DK2++dDehoLapQyCwn5Ka0vdDTkn+b1167igZfLiJPn5GSNdcM5pDbVT/rLZfKh7th3XY3uHFVoby0Bygc9kUMNd3Hz9gT1auWsonoGUchwmsxsaCyAV3qtSAMl/6d0DE9Hf1khb6PoYyUvaXBBqYiZfdhPhl9uP68bHCzd7zj1tsT77ix3K5kMdHkk/lpMX9slj3g+CpWWdHhud0fGxmaZdMMYzkOKZhYt7e9TTY7TmwEn97mfur5lxNNuaiX6bWKlvXqu9yYeFGeQq1UEaGJ+JDY2rZSYXRNcXP1lbKM7eX+ex+u7r1+pbD+8rC0I6//SjDfr6A3u0ucrNkFwQL7XR6M3MudTFqSdsecaSvtTPyj+H9VWobSRJZyzulTHSVCafnoFkC8f6WUv6dM7pi6NjK30IWyHn9iXLfiV6Lu3v98+RQxNZPf2cQgDppicOFTKQcmHUPuXyodbsP6lbNxyJ1Qt0rzs8mU39Drr2PG3v+8em+267bSplLpX+/rGUIto+l4H0+P4Tet+PTo0ZUgkgdQG/sfYjvkFZAKm+RupN15Rn87h1/ffq6TFa2teTGm13X6zenlIR7bQxyrEhbJUykGZ58k0mAdTTqN+yrl//+6YNUeczedJNZiD529yMQtru5Vy02r2//z5pmVy1uM9oqAlBBF9aZ899pn5hu53Hx/Xw7qHUQpSzlcxwco375Tes04otxyQVhtJcefvWqq8zlyLaJxro5Djv/dEGjWfysSGFYWj1yO6hWWXNuDUqpcZGf1eFl37y8GjNLD9ndCqnXBDqpZ+6Vx/z6uA0O4D0mx++Wx+/vXadneNjMxU7X2nj6qVCLbSHqkxFWy93pys+hK3wb08dGUj+92O+s5B2DUxoaCJTcViHz7XxK3dVH5JRbciGy0xcs796AMm1H/sGa09wEIRW92w9ru3Hx6MshekaQ9gW96bXQMoHoRb1GPX2lDqRB04UtsGfsrt6BlJ5BqT/0PhMPlbXb/fARGlqc++YcZ99fOrkwnonJrPRdqedX5ZvOqpHq3wOh07MvZCwe9/3vuoSPf2cpdG2N2ta88f3ndCP1hzSB26JB+HHZ3J6zRdX6tN3bm/o9R7cOahP3blNn7yjvqCkVJ5p4n9u/mBDP7CUD8N4DaSouE/x+UR/K/n5nb10UTEDqf4239/OwfGMgtDq5GRWVvGgteszJYMayYvIhjOQRmdRAylxXnV/Q1+PURhaDYzPaNdAof7RWUv7Ggp2ljLdy8sV5ENb1kf42v17op/PXNoXfbYVZ2lKbMr+xEQs/tv2JTIzjo/N6JWfv18v+7f7opmY6nX/9oGoRpYvmYHkb/ai3tLN2iC0ZVlA2cDGAqCu7T04PNVQWQS/zzdVod9Q6dwbvUbxmKgUhH7PDev1f3+2OfbYTC7Q265bpfUpEwrM5Euzobn+QF+P0XQdk/C4qeeXVpiFzLV31QKb2XwYuw6aKZa0+Mna+mbCrLW/KrGydQ1hO3NJX+oQNv88VC2DblFfj05f1FsYwlYh0HR0dFrPOGep+npKWb1+H8cPrFtrdd6ZS/SVP3+xpPQhZMn++DPPLgSQ9hb7CtPZfNQ+5UIbzWbp2rFMPtC/3bkteq1XfO4B/Xx9PFu9VAOp/P39IvxuH7v9lZzdzcpG17e1aiBJis0QvpARQOoCfsPlR1lDG78wmUuHL+3itK/HaMmi3tTxvqVZ2LwhbCmZM5WGsAVNzuyR6stActvoOu3Jk3BUI8FlZDU5gOQaMlfQznWm/I7eh3/+pG5Z21++chXuOBiew7TQadLuYrn97BecdJ9tMwsdzuSCaHiHVJz1yFot33RUf1vMnnj7tx7Xtx/ZV7UTMZcMpNlMs+02xe8oP7JnSG+7brWePDxWYa1qL1j4p9Lmu/5F2mc1lc3rj778sN5TZ8HRkemssvlQA+MZfffR/dHjE5nGgpq5IEzNdHSmc4G+88j+is87x8dmKn5ulQJLb7l2ld7x7cerpqTXw2VixGb3KrZb9dRAGo0FkOY3A8ldOJ6sI3ux2p1p/5lqf6Gre7Lu4Mmq3z23Dx7bO1wYUhOECkOrN3/jMX3nkX2xZXccG9dkNtBUJu/Nkla5iLZMvAZMcthYb098FrYDURHtIDaLTKXtT6+BFM9A8o8Nq9IdWT/7MC1w7c5/QxOZqsMivrBiR9l08b5DTZjpyB07py/u1ZlL/Do7zUnxWxplrMY/y2se3KPB8UzDNz3c9ianMa8mecj7gSL/qWSWdFoGtWtXkheFye+4G0LZyF70l3XBnJNTueI5pXSsT1bIQEoGqv0+YSYfaOuRsUTmR30ZSE/sP6G7n0wMdyn2lY6MzujuJ49Fj/s1kL543y699FP36aGdQ1rUa3Tx085s6DxcaV+710hmoV3gDZsJQxsF+it9BslMtLIMJG//Jtv861cfjD7z3RWyW5IGxzO6feMRff3BPfrifTvLnveDVKGNB74W9fXEhiwmh7DlgzDWZrl+2tu+tUpfKk40Uw//ZStlILl+8w2rD6betHD95gPD6TcOhiYyZdnyu45P6JHdw6lZrX4GkmuXTk7ldNkn70kNxMXfq3C8J/dNNh/qn360IZqIoNr1Qy4Iy9r0DYdG9M83b9RHKgz19c12CJu15TfK05yxpDd1CJt/TlxUJQOp15hiFlN6BpJUCMQ945yl6u0x0b70byy6c3FobVT822XwpQ0ZTu7vZxQzkJzpXFC6DgtC7RuaiB6XpE39o3ps73C0/OhUTu/90YZYLUH3/U6e4q21sZnfjo/OaDKT9wJI8cBTPrBRX6TyELbSfptNGZJuRACpC/gNl98JC0Mb63QmZwVpRNq6vT09WlIjA8kYE0WJ0+5y+I22/7PfOZ3M5PVPP9qgd6UMqfA79/dsPV7WQfKfzwahHt09pDd+/dGKJwO3ja5Dkrwb5k6YUQaSt52zDXT5F7KlDKTiTC7R3d7CE67xfv/NjaVAuouQ4RZkILn3cvvyupV79UQxE6GeC9h6zeRDneFd0GRyYcW7l9Uu0N0h4vb1/7zmMd2+8Uhd29BoBpJ/PPoXjm6/HBmdfcZApbtYrn+Rdsy77+7j++or0DsylUv9zMcazEBaseW43nTNY7o3pXNX7x35fBBqaCJTMeDhP35yMqtvPrRXoX+nao4BX5eBlA9Ld3bd/qwnA8kPqM93BpLL1KkngOtfVI5O5/SqLzygLUdGi8+V9mm1v9G9xtBENlZoNsn//qzcNaSDJ6Y0kc1r9b4T+vjtW2OZcav3FTqDU9nSELPyIWyln40KF1VOfAhbqEVuCFtoNZMLdGxsJho67I6N0FbOTExmmBRmYSv9PpUNYudNd1Hifo7WK56//b3pzn+ZfOjd2Sw/RoYmMlUzNhod/u1vq/seun2xdHGvzigWLZXS25tGa5rM5AJdv6pQ8N4/fx4ZmdZ1K/fF3r9eLkBRb3FZf53od+9z8y/WkgGjtCFsafURpfK/o7fHyJhGi2iXlj1aDOYUhkVaGSN98HW/KamU/ZOchS3ZR4nPqBXodV9aGatxV6kG0ppEwOi6lXv1b4lMMf+7+64flvpubpcZY6KL+9V7h7XsvDN0+uLe1MDkZ+/enjqrWjTsrSzbxt3Eip+X/ABSLgiji9VKn4H/eS9d1FO1BpK/bCYf6IbVB1Jfs5r33LhO77lxvY6MTGtovLytjs3ClqyB1NMTCxgmM79yQRjbxpw3TPZYA5llflBtqsJ3MxuEGhif0f/92WbdsfFo2fPue3OgwrlhOhvoaGLGv73FAEEyo2ftgROaygbK5EPN5IIo+L7j2Jgms4EOnayvT+X2zbce3qdLPnSXNvaP6GfrD2u4eI6qVtstmw/jpURyQXTs/XT9YW3qr55xMtvhhJJk6hjEVikDyT9G/ABosuns7TE6c0mfJjL5ioGmo6MzuuCc09TXY6Lzv38TeXEsA6nwHj1extxkJq/Lb1gX7cfkeffpZycCSNmg1OYGofYV+3WuTRtLXG+++reeJkl69w/XRQFTdwpLfv8HvRs3UqEEyFfv3x095pZ2H1s92eT+fuummXfnggBSF/A7bfEMJBsLLrm7u7MRpJzU+3qMli7qTe1gR7VATKGj0NtjUoMH/rZXqoc0PpPXz9Yf1t1bjinJf++/+f4a3Zko+uY3zJlcqH/68QatPXCy4gnTNfqu81c2hK3YOLnGzu9QzOYicCqb1wbv5OI6iC5Q5E7yQVjo7JyxOH0KzVrccTA8iyFX1aQVqXP7zDWSn1y+Tf9+b+FuWj2R99+/+kF9u8pddSfjTeMpSZkgrNgwV0ojPjlZusD9zN07NJ0N9Pj+E3Vn5JyYLAXk6gl8+J3jWMpzNp4hdqLCmO0gtPr769fq0T2lYSvWey5NdEenSrCvnjtg1lqNTOdSOzuNDmFzFyJX37OzrE2qtzM1NJGNpnRN47dZ920f0Kfu3BYb0lvvsL1K/GKNbt+671nybvT4TK5sO0dbOITNtVv11E/zj9HH9gxrz+Ck/uPeQofLL2xZ7frcbzerDWNLtkd7Bydj3wt/auBVe10AKR9dMFYdwtZj4hdUZTWQShlI/SenZK108dPOlFT4Ppy1tK/4fumfTXkGUrwGUvLYPOkF7zLe4+7vjc/CVnp+oHicJY+RXBBqbCbfcNCmloGxGV3yobv0w1WFC2DXNp22qDfW3qa3A43dIPjaA3v00+KwAj/A8oNVBxRaq2Xnna7JTL6h7OlS9nP9AaRk0x3PPIn3S/wLIT8jx12MRPUia9RAcsP7Gyqi7b1mlIE0mS1ckEn669+9SJI/hC2+fjKI5bdBbgjnjuPjpfdLbNuR0RmFodV1K/dFs15JhWM/WbOm0vfG/Q3+DIjDk1k9/eylWtzbk3qDYvPhUT26Z7jscbevk+e2ShlIv3L6oti67hipVGzXv7B87tPP0sB4vCaXf4z5fdHlm47OKjt5oFhfsP/ktIYnM2XnRr89S2ZHLeozse1JBuJyQXwIZq5Y+Hk6F1Ttly27YnkseOdvU6UhbLkgjG4OVKvxVmkI23Qu0HgmH/v89hSzuJLnbX8CnTGvf7JvqJRRWg93zHy1OOvY3kQGVFofJ6qN42UgLeo1sWHQkvSGrz1a9b0bzkAqtklW9WYg9aXe4Pa/a8kZG329PUanL+nVVDZ9FrZ8GGpwIlOWgeQHkNzNnCCw0dA7l4EUWqt7tx3Xcm+21eR57elnL4n9PpUNomB0LrDRMPiDw5PKB2HsvSVFRbgHxjO6+p6dyubDinVD+1OCjgdOTEWfsT90TYpnQlcqoJ4c4noqIIDUBfwG2j+Q3d3THlPIaMmHtiytNanedH2p0Kgs6etJbaCTnbheYzSacpLKVAgg+e/3hDfUJVl4OPllPT6WiQ1j8BvIQiMfz45JSo6jLiuiXew87B6Y0PJNR3X/joHSc7O4CHzvTRv0p97JJcpAWlSqgZQLQt2/Y1CLenpiHbpGLoBnohpIjXVq3N35StI6e9XGjI9M1r7A2Dc0qR3HxmsuN5MPo2k8pUJAqdIUmpUCSH/2jVLnYzoX6NqH9tZ8X5+/P+upIxBPc/anw80XX6/QgfztT9yj135xpbL5MFYradvRMd25+ZhWeZ3pWrOwuTtUqRlIxW2odCL1TeeCiherlTqSlQwVA29bj45pxdZ4YLjeDt+xYkH2ejKQ3LG4d2gy6oS7Y2JoIqPHUi5OakkPILkMpNJyuSDUCz62Qh9L1HSa7RA2a62WXbE86ujWw3UeT9aTgZQyNbnbZ/7n73eHth8b08du2xK7eH7KGYt11pI+rU2pWeEkLzr3Dk3EPn+/6P6qvYXzwGTWL3JdZRY2xe/O+lkK+cCqr8dNe221v3ixccnTz4qWOee0wsVmpXY2GdTI5oNY+1yYTtq72PK2Na2Idmy2r9BGv7t9mjxGTqbM6OZLXljUm9nnAhM3F4dJx4eweQGklIvuRjMR/Yw4f/+cmMjqKWcs1q+ed4ae2H9Sl15ZPlW478DwpKy1ygehflG80dTIpFhlNZBSsoJtcTl3ARWEoX6yrjSUPEi0w8lh/2kBpLQMpMf3nYgVgo1vZ+lndxNsbCavbBCqp3ijbuminuiY7UtkICWDOn5AOe2cm8wyy+ZDDU9mlckHGhjPRBf42Xyo8f+fvfcOk6O60sbfSp27J2s0GoVRzhISIkhCJIGxDZgFG9tgkzH2go3TriM4YHvthbV3HcFgPmOwMdhEGzA5IwSSCBIoZ400mpx6pmNV/f64dW7de6t6NOLb77drzHkeHjEz1dUVbjjnPe95j1BaClTec3kJm+YDSIWyg/pUBJahh+4xuaLtlXPaoedSP0NzXQ36xSddcnz9mJHKoI+f0YCfnbcIl6+YAkAGPYwKAPX9r+/H5PokxqTloPdQRqA1O58b8CkO2YXNCL8egD0jMalS9vxh1z10YuEvAiNb8kG98XTJ8hbp+JLtoHfIHxsAAxPOv2U11u7u4WtWpRI28qXFBMIOj2EykqZQf67EnwsBQKMVMKfPEfClNgtRGS2A/z5KQvKyKm4hX7KluXYogOhwGUgq0/ZQlo6ZGA7twuafSF0r1P0iGWEMpGgIgFSyGauoqSoG0xA1kEJEtF2XA95ix0r1vCrwSAAQmVjCNpAr8X3rdy/vwfWPbQnM/bpkRP580WerqU8/DEDqGvRZSbTuqFuqoWsV48BK2lHvZvvHu+P/5RbmBIoTTQzkKPiPmgYsL7NzqLaGlXQNwujqpgcg9eVK+NHfNksIN62HtEDoevi5xYCfFp3eoaJUk71LEC48oNBaVYdCLNHSlPsRhe56KgRSA7yErQIDyaOB0uYg1smGIfx9w0U8K4BMqqmBa5gG0i+e3o4N+/t5q1CyRd8b2akWjTOQvOejtiCuZH94ZQ9WXP9MxeAjzPGi34WNtUMFsLbDxC/pONtxK5YG5ku2pMlRKDsVF+9KQaCqTUDdWEabvBZLcEYjllip+1KuFCwx3NM9jG/evwELr3scP31yG1zX5SwM8T5Hy0AKywSS0zMaZuJITuZowVNG7S6ha7CIxkwUUxqSuPG5ncoxowNTCFyotKaFAdI7O7Pcyaa5/NFfv4zzbll92ALmEoBEOjUcQPIH0PpWVv710HqZHSkGB4cDPtN33PDYlorHvLCtEyfc8AwPWod5CdsoNJDs4HNTu5AAconQIxsO4rZVuzkzrmw7iJo6Zo/LYOsIYLDKQNrRMSSt6WIA0Z8rIR01USw7fE1Q1wYxGFdLmCQNJMdhGjSekC+VUogAUrXHVjgcBpKq6VcpMA0rYROtZLuoT8nBp6o1SM+u0neMq4pLP49WnJj2HtoraWyqDKSw9UYNeEn4/Per94RqoYhTTmST5cs2YpaBuKePNNLauqltACfc8CxufXEXfvPiLjyygQCkd17CJt6b2uiDAKSyBzxmvKCf1lDeOVUtYVPGkakzeFNddj7665elpFKl6xRZ1IP5Ml/nU1GTB/bqI1BBLPF9bW4TmEch/g+NxwN9OT6WyDej8Szu7+qe+6c1rPuZL3wtP+e6VBSWGc5AojnY3i8H9fQ8KnUcU4NI8fmVbYcH35X8Xsdlgd+HFo7D5PokABn0EEFKcU7v7BzCEROqD2sMAkzYWzRV/0vqwhYCIMkMpOAzEf34ou0nB0eT/HIcF9+8fwM2tvndyOgdV8UtaayVbIePBbqOm57dgVU7uvHa3l4Ovu/ryQXWERa3sL+LQsbEQMoKpVjqnt2fK/F5t4uLKjt4cmM71056fW8vzvrFi8gVbWldUcdAm1KlEMpAEsSVaX3OxC0UBFFv4NDggf0O9Wld1x3VGEtGzNCGEOKeoDJkxOSM64JrII2k78gYSDr2dA9hMF+SGGSmB5iL4u8igJRVrq9QljVOGxQw1nXBQbHtClvs+a2dAcAvqoikDxXLnMGkzqWw7oCd2QLfE+lode0ek45WTICqXe7eScOcvzd7D0D6X2aHancoM5BYa8moxTITZfvQ7aLVQIaLhFViIFkGXt3Vg5ue24FfP+93uHAEJwEIotv82kM0BG55QQ4oxSBDndhqsNnt0bnJJAZS2dfIqdQilANINrFoFCdQCchEzZowgckr7liHi3+7puIGrT5VeswxgYEkaoiIx4vvvWeoiK/c86YU1IpGz6lnqAjHcbHk+0/g5B8/G3qsaBv296PTQ97DFryw4J3rfISUTPYNl+C6LneMntvaiX8R9JzosxTo3vriTqyscJ2Fko24wEBS69BF2vVowB0A6PGyZiN1pBBNBHxGw5yp1OqVgqeuoaL0nO/1Mtz/+eRW9AwVOYAUBrJUymKNqIF0GAykkcCH0Wqt/Ohvm3H+LavRlS2gMRPDimn12NWZxXNbO7ljLj5Hdfy4rotfPL0N+3qGfQCpAqtS/D3N552dQ3wtOvMXL6J/uOR39ThMBmFnNgRAKgVL2EhfasaYNER7pyVsYZlQ1b730Ebs6R7m90bvZzQaSJKui/cMaT4UJADJ/0y752w/8PoB7xysRCwVNUObLJD1DBUlJ5ExkPzvEBlIALB0ah27D4/NqmaXpRI2ZQpLJWze9ekaW3PpmTYJQp2cgVQhg63uxSqA5LiVx2YoA0nIJZcdJ0DZVwEIAq8rsQKTUUPKuo621I3eK703GpuxgIh28HzimHZdF3e8vBufun0trnngLRz9g6cC70t8XqKeSr5kI2YaUueaSkaMkFd29fASIPE+RmPq0inemp9tduG4rld6xtaLbKGMOg9Y4cCRE+4zBUS0vYDfPQwZbXF8q4CgCIbc+cpe9A0XpfUzETECY0h8XweFuUZlkyJrb1JdAoAHIJX99RTwx7C4R6jswK/etx7r9vQI8gZy+V5dKuKVsLm4+fkd+PaDvvgwjUFVI5Aewfcf3iiVnRc5gCSvleL3lW2Xd66r5Bc7jsvLAOn+dwsMJD2EgZQv2TjQn+PHq/bntftw8W9fxfWPBrsLqv5UpwIgifuKOmZVkEL1XctK0rBk+wm3/lEkFjoGC/jDK3vx7Ba/g2nWA1UsQ0c6KvpifhKwaDto689xsf9sgTE1x2ZiKNqONO4AGSgnHSTHcTkgJAKT6hzrG/YZSDSGt3UM4vLb1+LDNzJQdvXOHrzZ2o+2/hw6hO9W1/M2ZaypJVGAvy+WbD85XRW3UCjbcvmWB84Qe/iGx+R3f7j9CM765Uvcpx1tCVuYjybuCaq2UVYAzFy4SHo6SiPlGpuq4rB0DV3ZIj584yrpWE0DZ/ySirYIIKkxUrHsoFbYv8LYfHSNKnsyGTUDgJ96f8PFst+FTTnv/t6cVO4KEAOJtBFd6V/xGislasQSwWtOn31Ypct/r/YegPQ/ZGXbwZaDgwFAICxIFDOYUvDlsixizDRg6jrKjnPIzilqIENfF6ZBYBqaRDsUr5WCYELHK8XjYgkaLWZiQBGzdInlsa1dRprV7K2UsdG0QAmbSlNVjRb9ygwktijlQhhI3/nrRqmkDQDe9No1jmaDBvwFyRfRdiUwI2zRuXddKxZ/7wn8aW0rXtwe3p6cnlPZcTGQL6F3uFSx/lw0ygDt6MziqB88JdUoA+FZ7SIH35xAyWRfroinNnVg2Q+fRle2gMffPoj7hDIAuk4KEF/d1YsD/flQ8CpfchATxh+JKJKJtOvBfBlPb26XzhNGbfY7a7kVwTjRRHBzNCCKFDgK10qOnEiTBeSNLVtg4sLi8YA/JiqxiHgL0pB3RUHNaDazSjoJEUMPBCatvcP4wl2vB57x2wf6sb83h65sAfWpKGqTUQzky7jo/7yKM37+IgAZpMgqn9/bM4z/eHwr/vkP6zi44Ljh9x6mqbazKys54Rv2i9nUwwSQhPFB6wRnIAnfUYnVNloG0qodXbj+UcbwXLenB28fYDpOI2U1KfAm8MMvYTs8DSQaH3Q/4hgSb4eCgEffakOuaKNkO7C8JgsjMcp6hoqYOy7Df97ZKTOQVK26oyfXAvAD1eCcE8eBVrGcuey4sAydayAxPRS5lXNNgjmvYZlbdo4QQFa4V0cpYSOLGLr0HMPAw7LjolGh7Oe9sfX05nb88dW9fO0ZCRhqqvbPUUkMPPDdJODt3Qs947hlSAyJks1Ewe94ebcvmi7MibLjok0JDkXdHEB+W+IalC85iFm65AuMxhKCRqBxGAiSur+IgYEr/MtKHzWYuo4er3yZghy/hM3x/g1PPpFRRv5wOniPBDbROk/ryovbuyR/MRExMFyS25qHBcWA31VT3L8n1TJAZL8EIDF/jH7uEVhx6rh0XeCr927wWa+urMlTn4zCMpjP9sTGdty1Zh8/B41BNain97S1PYvH3jrI146KDCSFlTpSeTfA3intF+mYhYipY1t7Flf+YR0G8yXpfHQO0lNrqUtK74vm+b/esx7PbunEr57dAdXUIFr1QcQgOKCBZOjSuw0rYVPLumlfGByFzli3V3ZO95n2RJUBtrdVCQE3K2Hz16efPbUNrssAAwLrSW9OLWMTfQl63/v7cnz9enpzB363ajeAIODWH6LR+MI2Xy/SdlzuNwwVbKlMrayIjKsi3mH6brqQWKH3y0rYZOkBS9E0/eUz8rsP63J9KOvOFkatgZSOmaE+hjhG5KSpFuism4wYyBYqdyUFwDWQADYnRaMSW8ZAYnOP4kPbDQJIhTJjMd95+TE498jxnBEsmt/VVH5+qagTHY42AAAgAElEQVQZWNtUAImBYd69KLfU2pvD+BoZAB7Il/31JPxjaEhHK64l4vcfMaFa8hHfrfYegPQ/ZD3DRZz2X8/j4fVyN6iR2qYDKoDERLSjlu5tzKNgIFUoCQhjPhm6LmUIxQWAvoZrIFWYLKIjfd9rrXBdVzpnMmJypyRm6ZIeEhDM6qkaP+IGI7awDyulcoVFLEwDyXZcvlBRtlQNyNSSNLq/MEokfadoKoBUtB2J+hjWLeRvQotclXZLJi6wh6ODRADZ2wcG0JUt4It3vyEJOI80HtWuHwB7XgcH8izz1J9H+0BeAgDoOum5bvUEPcOCn4JX5iD+XCkQf2RDGy69bS3vBgfIpZH8dwIV9qgfPAnXdfGFu17Hi4ITIprIoPivJ7dVnF+u62JnZ7YiA4kc5O6hosSWuuDYSfz/1+7u5RuYXMIWnvFWx9ZIDKTRWCUQtCEdDTz3Vdu78cAbBwLd3fb2DGOoaKPb0zipTfkZJro3cQ1TmYJie9iDQjlDmLZbWFfHXZ1D0lq0+eA7F9XuHCzwd6+WsImrHY1llcE1kCvxaxmJgXT+La/gV8/uwJxvP4oP3/gyLrltDYCRRS9p/aCAnjOQRsFeknRM8qSl4mVaBUaC6AAd7M+jPhXBUNHGk5vaUbYZQMOaLFS+t+5sAbObMjhl9hicNLMB3UNFyalXs9NEYy8ogSWZpA0RYCAJwaPtcBFjx2GBrKnriJr+ekJdXyoxkMLYl2L23HHc0KBsTCYaykBSGVLpmCkBKAQ4X3rbWnz9vg3oEcDuMNOgSV3TRstAonlDe1euZMMyNFiGrnRhc3HnK3tw7YNv4/aXmeC2yJgo2Y4Ech7VUoN71rXi/tf9hEGlYCRfshG1Ds1Aemt/P+/wpQGICwBS2Jmv++tGPPjG/sDvgwwkAUASyxK9khFD17hfQkCj31I+PPmkznFd88bfYaSi6bJo7oc11fjsSdO875MlC2KWgXzRlsZLJWZ0rhgck/XpKBIRAwf68nzMki4NjRViOIaBrnXJCLZ3ZHkzFNeVn3N9OsKlFtr62Xe8faAfa3b38HVAlTAQn13RdvDW/gHvummfYPd3xe1rcdYvX5JAl7Lj8MRmJdaA48glQumoiXtfa8UjGw7igdf3S3t40fvOfT3MZ5pQKwegg/lywB/qzhbQM1TENQ9skFrRk6m+msRACpSwabLGU0gJm8pAEtfPMP0y8TtI04jOm4qZvDOZoWmcsQmwZ0v7XtF2sGpHN1bOHoNMzOQA0tQGVhK4V0lkir4EJTCpcyrd/rf/8jY/t2hMA6nyOrezM8sBpMFCSSqrLTkufuo1ewGCbLfuEL/ZZyD5sQE9B/HdEXhQiY37TrqwuS7td6MoYYuagd8RWEumllipsVUyamK4UOaA95kLx0l/T0QMZGImL4VTGTyG19TCdvwubDSeHQfoV2KyYtmBaWhYNq0eN5y7MLSrpriWiYxdBiDJ41lNuA2NwEBq7R3G+Jo4VKPxSMera3d9KloxUSMCSOqzfrfaP8Zd/i+0hlQUmZiJbYpGS5hDWikodTzAI2pSCduhNZDUQJAmSNgCRxpIZOLm54tos5+p/WhaWcgouGiqiuGuNfvw4BsHEBOcooRAmT9+egPW7O5RWqEHNZDEKxU3mL09PmAQ1o0sX/IZWv25Ej5+88tcvwSQGSuVdHmIcVQsO16XC/b783/zCrZ3+DTLP766F3e+sjfguNLxFMgwJ9xfOD8pAApklXQRyFp7h3GjkO0SWVqu61Z04h3H5Q4blaikYyY+ffs6bDk4yAKvMABJ0EBSg5u+4aIAEhW5Y0iOHQU5/cMlDBfL2OcBb2GdDShL/dfPHgdD17wStvD3QkCGmMEk+r1o6qbTmS3ggTcO4PLb14Setztb5BvN05s78MpONj5V5s3aPb04+cfP8fEBqBpIHgMpW5CAjM+eNA2/veQofn6ABdH5kPEnjoP1rX2Y/53HsbtryO/CNoIGEn33SBYGPsQsnQk0quU1njOwQZg/+RLL+BXLDrKFMhIRIyBsCMhzWgX5xHknOn9h41BmILH7HCraEvtwq9BxiIC7Da39hwTWHIeVYY7zGB4FDiB5TD9h3FNQRQyul3d044d/24T+XAmNHiAyGvaT6wKnzG7kP4/khND6Qe+Uxhddy/aOQVz3142hgKe41tMz0TmLzb9OlYF02tyxGJuJ4a9vHkDJdjhDtVJXEuoiVp+K4jcXHYVPHMPWtk1ep7yahBVYz0QAAwgBkIT/V3MW4vgvOXIXNttxvZJs/5mSQ1pprQ8bc6oOoLr+RUzdK3EQmYhO4PoYwKWjTgBY1bWNxvH+vhxO/o9nQ69RBFS+cf+GUekukI9RKNm4d10rnt7UwYEcsWlB2Xb5/kUaFBIrr+xKpetf+8AszG+uws+f2s6vQ431CNDNlx3ERgEgvbhdBvblhEKQPXzbql14/O32wHlGq4HkeOPENDR0ec+/LsBAkv99cVsXVu3oCrw/09CgadphFLD51xnz5jexOAAfML3M68Q2mJfZGHHLQK4kJ1lUwGK6dz46RgSMTV3DuOo42vp9DSTaQ30GEjufyhwFgGOn1Enrve26EkCRjlmwDLZeUCniuj29OPcmv9GFykBS5+C6PT2SviMBHI9vbMeb+/okf6tkj0JEW2AgAbJGkePKY0wUiwaCAfRgvhQoId7UNojrH92M36/ei7++eSCQZBhJA0llIJmGrsg3yH9nGkgiY0pukBJW3iwmZmhPp/tMRU1kvXs1dA3VcbFc1uXJn87BAvZ0D2NSXRKJiMm7Lo71NNrUJKx4TcQCIv0jEaQCgvGQqIEUZutb+zmAlM2XpRLpnZ1Z/OxpvzGFyl5TdXbovgHg83e9zhMNdI2if0LgRSX/NKzL9WhtNESWMAApogjWqwkpMXZyXQZWDxVtlB0X46pi+Pl5i6Tjx1bF2Hrm3cpFy1pw4ycWS9epex3aXJCINvtbOAPJDrCGRjLSKGP3awRK/SOmjt9efBQ+vHg8AAZycwBJmDhPbmzHjs4hzGnK4NcXHCmdg/wNvm4Jry0RMZCImKF+tgiWASMn/95N9h6A9D9kmqZhemM6IPJ7qBI2SZTaFUS0dR0lxz2kkGZQA8n73pAFjnVh8x22AUX/APCz1LQOZJQNgJznH5w9D83Vcdz3+n4p6yoGDCtmNKArW+TZCCCIkvcIGkjXPvAWVgkOpliy1TEQDJYlQcmDg1i9s4dnVgE5OKgUVLy1vx+242LZj57GiTc8K/2NOv0AwNfv24Bv3L+hImBHgUzJdqRF9Gvvn4VzFjXzn8sek4csjIF0/aOy2K6YSbl7zT4c9+/PhJYAdWULfLy0e5vhLRctge26+P3qPaGsD9Z5yAuIbCewwZds37HoHS5xtgEt5DSWi7aDN/f183cZFtCT0Or88VVoTEc9GnH4+KbMgZgVInDizW+9L/QzALDdo+E2VQWzEa7romeoKGUqDvTl8MtntmPOtx6TxhMFVuv3iwBScDz1DZe4Q3XzBUdiTCbG58CTm9oxuT6JSbWJ0BI2cY6ub+1HtlDGExvbfQDJDj5D8RrO+sVLFZ8DEM7aS8csJCJGwDGid7xeKBETO1tkC2XomibVuBNFWQQcRICHPkcmjvswFkbZZuAoCbOHmVg7P1y0caAvhzN/8SK+8xe/1Ob1vb2B8dfnUeWbPZozL2Hzrl0sb6KgoNfT/zrvltX49XM70TNUxFQvYAsTGA6z9831ASRaF8KCH3JQOrOyVhC9w8febsf/eWkXHtnQFvisOGcJzOS6ZiEi2pQ5b6qKYdnUOqxv7UfJKxGLmnrFjBxdC7HQpngZ6Y1eid6kumSAgSQmFMT7IpNEtJXMrMomtXSmQWM7Li9NOhwGktqmHZD3T9tjAItWk2BlMGEi2tT6+Tcv7MSwx/oRA+4wvT+ynSFsSk3zgQYAeHZLJ+/utWp7ENDg9+XNpaGija/fvwFb2gd5aZjYwtl2XL5P0fomBrxFD0QkS8csfPLYidjZNYSNHkioAjeX/nYN2gfyKJRsxEz9kFp0BDbyexb+n+6vfSCPlq89jJ8/vR2OG866GZGBJEQJtutn0kn/jsavKp5Nz/GTt76C8295BfmSg7MXNfMAxuAi2mJQLwZtwfFFv6Ik21QBQCKQl0COwXxZWocSEQYg5UcAkGY1sXJSDiApDIVx1XFJA2lXV5YnKgF/TlMzlxXT66XvF8uc1BK2mGkgYuoYLJS530HCx2RqWZHqt6zb0ytdc6ALm8hAsh2+N47UhU0shUwrIteiv62WzaViJj521ETpWlTphE1tA3xvyoc0AVFL2EQShjp3IoZesWSX/exK7JyyI39fX66EnZ1ZrlUEyD4FMR7p3aRivs6MrjCQPvP7ddjqJUyf2MgA2wm1calEOB0zYegaXt7ZjVN/8hye3syOI/Zb3DI4YLizK8vF6gEfnFP3/f5cKTTGSUcZm3PD/n7uc2YLZWkN7TiEZMHenuFQIXyA7fEkQk/PQXx3tB9XSqao/kkY26aSjebQRAgQb5k6Z80BwSoRaS2CD0INFcqh5VekH8gZalETH5jfxP+ua2zddLyktab5a5YTpoGkVF8cylrqRAApXAPppFljcOVJUwGwDsBfuPsN9v0u893P+PkL+D8v7YJlaPj0CVNx2tyx0p4nPg/2Of/5VcctRK3wLpLqPnY4wNjfs/1j3OX/Ups+JhUEkCqIFn/voY34+M0ve5k79tooQxKzBAZSSND/9oF+HkyrzAYenFbowiZuCH0SA4n9y0vYvH/VDAIt9oau48yF4/DS9i4pE0KOq6lrWOYJqK4RymJUB73suBKQJWYoaYOYPiYlCV4Pee1nxZpZCujEDV8UhRyu4HwPFW3s7MyiK1uQOkiwezz0Sk/PjWsgKYuormvS4nPLC7u4Mw6EM5DUzh5Uyw6wzNz+vhy++cAG/MYTL9/VNYT+XAmtwvXTpjtrbBrN1XF0DOZDx2LJdkcsYWPnYtfYNVjgAYeqIQNAKn8K7yBm8+cUtQwUys4hmSNigLOzM4vm6rjk1KpGDEBimuzqGsKZP38RD69v446uWCu9vy+H36/eG/gucjzEunDRmRAdORJNp/dGc6BQdnDslFrEvUCAjJ6w+KxpHDy7tSOg82A7Li9HE4NScbwe7M8HhMfDStjSMROJiBkI5GneiAykfT0yVd3U5QCZgDKR5q3W0Yvf0z6Q53MqjJnZlyvik7e+gjN//mJFfSrx/EOFMl8DVnmlqPv7cjj7V6tw7QNvoa0/xwMQcg6bqxl4qJawlSQGkt/OWHxve7qHUJeMoD4VQftA/pAaFIDMOLAMDb1DRUz/5t/43CWj+6UxOCwAlOL13/LCzkCgKl47jYE9PcO4e81eGUDy/qV3XZeKYlpjCgcH8ugdKsIyNG9e2li3p1daXwl8BXwGx4TaBCxD4+tZS10ikIE/JANJuBVNAz44vwknzmzAKbPH8DWGQEVDZwwkxqR0oOuaFKRQ2+BKGkhhpRIysOsG1q2aRATRAIDkj50/rtmH7z+8CX3DJZiGxgWaNS2Y3Alb61WLKyVOd76yDzs7szj/N6/gW4JIseOwdbutP4fzblnNf6/qEorOdMlxOMBIe2unpIHkSJnWRMTArLEMoCBmq7g9/Oy8RejPlXDJb9dgIFdC1DIOKe5PYCPA1kExeKTn+vYBtgbd9Bxj4YZpualzQPxees2uSyVNzF+h8VvLS9i84zlrW373uZKNTMzEB+aNBQAGYOrymBXXt7A9jwAT8rvGV8f5HkhP2jKYdpTKQIpZBoaLtpRQUrP0s8YyoX/ar8TnGTE0NFfHsL8vz8pLdA35koO2gTzfdylxQOvGJctb8KVTZwBgSTEq92PPSRYrj3lSC2SZmIm1CoB0oF8tYZOfz7o9fQqAVFKOFwAkoTxNZFoNF8v4zye2ouQ1ARGD5ZTA5KD5/cljJ6ImYfG5Qveejlr4wsrpuM1jEA/my4GSNBEA7Q5hAKvrn8qGE800NIWBJI+fol1ZAwlg4Mvlv1uL7z20kb9HCUAaphI2lz8LuldD1wLJYSonJBtfk5CuL2LoSEVNPL+1E9s6svjR35iwNM2BKQ1Jrn+5o2MIUxpSHFip9saReo+dWVlDktatTNzCvOYM1rf2cd8+WyhLPlhYUpmsIR2F6zItUNEMYbzSMPEZSP75TEPnXbHDjDT43ompiZIwS4SUupq63PFQBTXEv7muDyANFkqhnd9Is49AKZU9SqW/PgNJO6SIduQwmDpibGkZeogGEpX9svu4zdPRAliS4JENbXhr/wBW7ehGzDL8bpshfpnfWMH/XSZucX1DdT9Rn9d7ANJ79v/cpo1JoXuoKIEYYZmSQtnBrS/uwuqdPSh4jCND1/gGFyURbduVNkqy03/2Ik7yKPCqQy5qIKlIrMpAGrGEzaCFXwGQSHRWA85Y0ATbcfGwkBWnRStmGZhSn0R9KiIBC2GME3HTVQNQAFg8sUYKls+96WUs/O7jEp21M2QzkUvYKuulqLR6stF0AqPnRgv+UMEO0B1F5/bRt2QGATGQHn3rIL5273p0ZQvIxPxnrmmy0ClpSv3xVRa4AMBJ//Eszr9ltSQQ3jGQh2VoiFsG6lNRdGeLoQCSKNRest3QLH07746R5Quwz0ASAKTdvp6UCgy5ruuVsLHnFDWZkLOaIdI1SCCFeO87u4Y46+E7Z87BR5eMD1wrOXipqIn1rX34yI2rsGF/P9460M9FVEUGUlt/jo+TlT9+Dts7BvHkxnZ82es0t01g1IRpIAHAbg/MJWdVpB8fO6UOMYt103lxW5cUiIrjgur31+zq5YEnHfvvj27GwuseR7ZQrujQHPvDp/AhT9SaLKwLWyZm8cAEAO5esxf/8uc3+Zp1cCDPO53sU3TADF2TWrPS/KA5XZ+KYFv7INr6c1y8nVq95ks2BvJljPVYIr3DJdz16l5psz//llewemcPNrYN4ObndyJi6AFHSgzKs4UyBnKyDhO94z+tbcXSHz6NZT96Gre+uEsAkNj305imcbrl4CC+cs+byBbK6Bsu8tLd7myR65YMFW1UxS00ZmL446v7MPPaR/HFu9/gwrRkou9BAR7AnBBax77/8CbYjovv/OVt/PCRTTz71jFQwC+e3sbbfA/my3hrfz93nt7aP4Bnt3RKYIQY+NI7WbenF1+9dwNe2+sz6MiZ54F0MsI7zW1qG/A0hZiI9odvXIWr/vAaALaOTv76I/jPJ5jeBAWVlqFjYm2Cr2GT6pIBcXd1/1Dnu3i4rmlIxyzcdsnRmFiblNYl9n1+CVvZYQwkAmwAX29pqFjGq7t68PX7WAnYa3t74bpu6PonBiS24wYyztUJCxHTQCEE6CiWbanzjanrnKFXFbcwXCxLe+yenkM3QVCd+Htfa8XJP34OAPDmPgas3LF6D6Z84xHMuOZv+IMHflc6j7gXua6vkUX7oZiYKZVl/ZhkxES990wpWBYZEwvHV+EHZ8/HxrYBHOjPI2bqUpCsOuX5ki0xr3JFG6UQPUj1GYQzkORzS98r/EvAo6lrfM1TRbS5BpICAOVLjDFLQRPX4BK+++xfreL/H+Yv0GURs6w+HeXzR1wn0h47hEpj7rz8GMQ9pui9QtMKWtMpQz67Kc2vFZABBNPQ0ZCOoStbQMdgAVMbGJi9szPL95ZeRdw+GTE52GVoGqqFIM9xXOneY5YhBVYXLJ0UYHG09TP2060v7sKe7iFpzxuTjqIrW5BK0wMi2i6EpIPLQ29xPv70yW346VPbcO+6VlbCpokAkn/9tgvuX0dMPxjP5lmr85ilQ9c1DkQP5kt8rfz0CVNwwowGbGwb4NcQVkKu/k58XmoooCYo1b1dlbAoll25nHHYZ+/QviLuBaoeYTpm8vmv61ogOazapNpEoG28yOja15NDa+8w7vdK3KY2pFAsO0wXbzCP5uo4fn/ZMQD8OEiNh1Q9JfLv0jET85qr8NrePr7+Zwtlya9UO96JtnB8NYAgI1ocG5RUJiBNjNu2d2Rx3UMbKzLk2f5zeOE2vcnRAE+JChpIor8ksmQ0LSh5kPTYv4Pe+A5+B/s7nVNtgEAAkiNoIIki2qpEQqHsHNYzEZMlZdsNMpC8+JWuU3w/rss6QpOJe0YYeZ2moTgfq+IWj5FVFpz6vEbb5fnv3f5bACRN096vadoWTdO2a5r2tZC/a5qm/cz7+3pN0xaP9rPvZqNs81fuWY8/vMJKqcIYHaKTSrowukaiz4ylYRkaSo4bWnYkWqWSqpLtBhYEU9GMELVb6Dq1QzCQeNciTcPccRlMrk/idSFIoYAvZhnQNA1HtdTi1d2VGUiATO1XOzzUpyJoqU+iP1fiDtrGtgEMF228stM/L2UPRIaVGORXYjQkI4bkoIk2GgCJnORxHrOBsR7kY8Qx8KbA8AC8srOyg39/dDPuWrMPD7y+H5m4v3nUJiJSmZu4yFLWEmCi2RIjZSCPTMyCpmmoS0XQPVQMpQqrDKQw9J70lEQB4588sZVR4YWxPBJQSN9NC31tMoLe4WLAaapJRCQApitbQMvXHsaPH9+CnZ1DmOLVTV+8fDIuXjY5cK1veJpF2zqyOO/m1Swz4dWO0zgTxTIP9OWlOfTCti589yG/HEqs91e7JxJgtLtbAZCEjXHuuCrELQObDw7ik7e+gtP+63n+vMXs4sH+PCuVsR3uhNNce9wTMT3Yn5dALJWer5bFhGXuGQPJL2H76r0bcM+6Vjy1uYNf90Pr23DHy7sDzp2ua6hORHD7pUfjkuUtGPC62tC55jdXYWt7Fp+983Vcdedrkj4UMeKaPfDugdf342v3bZDo9wDw048fgdMXMBq1ZWi8Tv64afX43aVHS8cOF8uc/UjjTWTrsXPouP3l3ejM5qXvv9prIU3P8+BAHn9a24pvPfgWhoo2ZnulIW39eaQFQJcAJIDN68fePohzblwlzT0xqBI1aGyFbfn1+9bjtlW78buXd3Pn6MlN7fiPxxlQ0+CBI9TtbnZTBnXJCC65bQ2O/eFTABiDRCw1VJ0wsWsd+UDdApOI9qyy48Iy5SYL1EGQhOwf87RoRJ2flYLGU0t9sA32GKUz2VBR7gpTSePHMjW+ZtD6SW3UHQe8PbsY4FbFLcQsHcNFGx/99cv446t78eSmDpzzq1W4bdXu0LJIVQNJFU2tTUYC2hMENBTKjgQCMECLPZsPzGNj+MJbX+F/V+dT2F4o7l+q0bVd+4DPRKrU5Yv24aiSRCKNmVzJxr6eYezuHsbCCSzYKtpy19e4oHlGgbH4ugxdw4LxVcK1G6FC+GRb2welvXDQYxKTcWaXsneEMSlVt6hcAbgSRbTJapJszKjaR+r+WPB0nXQBQNIgByii5lsY843ej7jv1SQJQJJLraiEbU5TBsum1TMNJMVvITAtGTWha8B0DwAOLWHTNcxv9t/PLA9s2tk5xO+VStjI12HnZdel61qwhE24+agAGF510lScPl8W6R1fk0DfcAlPb27H9x7aiJN//Jw0j06Y0QAAUlfXIIDk8u53TESbXdu1D7yFK//AxNhpTJccF7YjNwsQ98h8yRb8a11iIKWiJn8f9JnBQpnvJ5cfNwVzx2WwvSPLnx3t0yJIrpawSQykAMtB/vug4m+yEjaZgaRqIBEYSXuAOA96lBL2VNQX0da1oG8v2oVLJ6GlPhlgvIiMrlzJxkdufBl3rdkHwAd/2vry6BsuoTphYc64DC5e1sLHrXh9UxuSAX9/igdypmOmtLYADOiTGUiVGZ2LJlbDMjRsbc/iQF/O6yon62NR2aaYsBUTPk9sbK8oom07zqgqFESjdWk05W6hDCRDk+aPCtbI4JzLmTuUjFItYhjS51T2q66zOJDeGdNA8kvYVDYkiWiP1hIRA7detISdzw2ej3SoVBYzwNbmV4R4Q4x177tyGT59/JTQ8S3OwKq45Tc/UsA3tSPoewykUZqmaQaAXwL4AIA5AM7TNG2OctgHAEz3/rsCwI2H8dl3rU1vZIvPk5va8c3738K961oDdboxS2kJ7OnCaJrGHNiSg6ilwzR0lG1HyoqF6d4EASTGiDjQlwssQoauSxoL4uZF/09rIm3CIwFImqbhdKFmFvAnOznCS1pq0dqb4zTUMJq3mLVRb3FsVYyXIx3oy0kAhxgsdgzmETF0fNBz3HVtdADSvOaqAHX308dPAeBnayu1WxevtzoeQTpmorU3F8iyhIGIonUM5jkQ9NzWTum91KUigdI6slzJllhYIgOpfaDA3119KoquwUJoWWPZdqSuQmFBFukpbRX0Z25/eQ9e3d0jjeWS7fKAQw2OKMCnBbs2GUHPUJG3uhbvl4RBGzNRDjz8/OntyBbKkvAelSOJtsXLOO3sHMJQ0cYvP7EYyajBACRvnI2rljWQxEBn7Z7eim2axbE7mC9zJhNlUHkJm+BkNVXF+OaWjprSO3hbCO4P9udxwowGac7SsyX6d58CuNGzFjvOPbulg4MyfcOlgJOT8TSQdncPBwLaY6fUQdeA6x7aiGsffBubD4Zn746f0YDm6jhclzm99Fzmj69GrmRz1ta6Pb2BTmnjvWdPpb4/fmKr9PejWmox01tHNU3jWfO5zRksmVQjHZst+F1w6LmIemGGruGEGQ3oz5X4/K9OyCLg2xXG432vsWzqnHFUupOTSkozAoBUFbfw8NUrUCw7+Nydr+Hm53dI7bDv/edlAIAHr1rOr1FkU/xpbSuOnlyLfMkJaAcB8jgFGGB26hwfsHFdFxf/9lV8/b4N/v10BBmcqvV462ZtMoLmmjgfI5bSZIEcXrVTpaiDdelyH8SdWJuEavGIwfeCZMSA6zIAK6ycS/TZIl53J9f1dQBNXYOuMWeTNJDUYDEZMaUxRwHK63v7wgEktQtqgIEU8XSh/OPoPKSBRGYaOp+Ty6fV4cZPHCmVK6sARe3VlnkAACAASURBVJgQu+gIZ2Km1KkmjH1I+iNkBAhSMEBBAtk2b7wPF2w8s4WJ/L9/LivRUlu5Rz1AMR01eSmPGARbhi5pzcUsPRDwiqbqH2XzJc4kMXWN69OIGlbjqmIYyJdx9xqZaRVgIEmgJP3LAnDT0Hhgk46ZPBjgpWsC003d6+MRgx9n6COLaI/EQKJMd10yyueDuDKnYxYGvBI2ulYqfZ7SkER1wkJzdZyvH3WpCFrqkjz4feztg/j0HWul9cUydJw6pxFHtbB1s7k6jlTUxNb2Qf6MuAZS0QeQfDa6JpWw2QoDKWoZnAXSmIlh5ti0xHijdeKedQwgev+8sdLfF0+qQX0qgt8JupWBEjavbM3SdU9E2/8bJS7pnRkeO0yM9UTAo30gj5LtIhFhDCQae4P5snRcWtCkIkArEzcxuymDsuPyNZbAojEeS4/pbBWlMSQOJ3XMqkCCuleq/tiOzqwEUPXnyhy8Ih9RnHM9SvmdmMxQu7CpNtMDUkTfyDI0Pt5mNLJ1Rty3aO3Z35eTwK1M3OId7ej6fnH+Ikwfk5aaoNSnojwhkIqamN9cLV1TtlBGvmzzNXKkJiIN6Sim1KewrX0QZ//qJfzkia1o68/LAFLRRsTUJeBk5ewx+PhRE/h9kA6rCsDYzv9bVkoYgGTpsgaSSvZRYytewpYPL2Hz2TfsnAEASdNgGJq/pnuaSADw6NsHQ0S0nUDntJEsHjGxcnYj6pIRDBfLgeundZrYgeozKZYZ2A7IiZfFE2vw9Q/OltjyfglbBQaS8t3q43pPRHv0djSA7a7r7nRdtwjgLgBnKcecBeB2l9lqANWapjWN8rPvWhtXFZMG+Zf//CZ+/dwO6Zi40ia5UGJd12jzYxkSA6auoWzLYrJh+gIqauu6Lq6+63V0CC2ryQwdEgNJNNFJAvzFUdWboWuntbNZaZ1IdEP6bgIDdnYOYUdnFr9+bkeglW1YqQ09x7GZOOqSbCF4clO7RGPsHJQF9WqSFq70WuImIybPMAA+M0Vd8yn7KtoVx09h5SPe51VR1nFVflZdLP0bX5NAa28uECgcShfi1J88zx30V3b2SJpStckI13cJM9KmyMRM7O/LSZogaQ4gRTBYKIe2PWfBtZfBs8PLPOj9DCkg3FfuWR/IuM3zMp5qIEbBQdQbF3XJCLqzhUCGtTYZwfUfWYDrzpqLFdMbAmVUkxt8TZlM3AyMJdeVs+7N1XFOV6exI24sKjj32p7eiqwIuqcXtnViV9cQFnuAxhv7+jCuKsa1NSRR+ahfErB0ah3+6QhfUP2uNfu45lDHYAHja+JYOqWO/502tVrOAvA74p2zuJkLnH9SYDn8y5/X4z+f2ArX65JRn5IBk7TQtvX4G56R/jaxLiFp9tB9kYnBOjmfrb3DPLBd4L17Gv+v7ekNBFUEuu3ozGJsJhZYoyKGzjd1x3V5VjNqGoHOJEMFv0SoUGZggwgqp2MmqhMW+nMlDsSL4pQH+/MccKTjZ41NIxMzccnyFgCstFDMYlfFLUyoZfeQiBiYXJ/ER5dMwGt7+/Bvj2zGC9sYrfraM+bgSG98LJxQjcuPm4zhYrDt8y0XLuGsOtUIOCfrGixwZhTAwOa3D8hBuTie547LSH+jvYRAtrpkFJah8++hLmxktPWIZQCaBon1I86lSXVBBpJoTR4gdu5NL+PYHz4F15UDUtHJjXgdiopC1j0eMeQubIpTFzV1JKIya4P2MdbtZ2QNJGIAi1aTYCWfNPd3dw2hVViTqIsVfRftVRFDxylzGjF3nJxFF9crdT3WNA1XHD+Fj/lExMQ9n1nG/x5WTpEr+ec498jxfHzQvLJM+RlRufZw0cZTmzowuT7Jg8GS7UgBKAW49V6pESAHxIauIR4x+FoQswwpqKLuTWQbDwxI9z+YL6NUdpGKmvjg/Cb+nsVkz0mzxgBgTEnRRmL5SiLanqgy+TXVCYsD4T4DSU7oiRYzdV5WRkwYvyOdfBEsCLK5uDC7TqaVQoFVXSrCx3kYA8n2SjMBcAaS47g4YUYD0jGTrx/f+MBs3HzhEsQi7LzPbunEM1s6MX98FRcspnWe9o+IqWNKQ1JKDPgaSF4JW9TgpVYqw480pciips6B4MZMLCCRQADCk5sYUPn9s+Zhw3dO43+vilv4/Mrp/OdUiJCu7YBrn5VtR1ojSIeO3qOhsz1DPEYE/6kBwdKpdQyg9vaEoYIMIKWEwHuoUIapa4gYOk8qEChMPhutgY2ZGMqKNozEhlPGi6Fp0t/FctiYpaN3uMg/c+WJU9HWn+fs1Iihoy9X5OPqNU97SvTfxCYauuaXNAGHLmEj/1tMYFuGzp/nqXMaJV/66pXTue+yvpV1zyNwi8bQQK7EAamEsG6QNVfHOIiRiJjSvhgxdM5AIj8grDMzWV0ygumNKWztGORJyJLXKZNsuMiE/2PCnlcVtyQw4SVvvVThA9txAvvPoYzezKhEtENYN4auSeuzCgqJYJ+ogTSQLwcYNYAPINE7Di1hUxhI5AM++MaBAMPUFsDv0Rj5YoauBTr7ATJoc+KMMbjCS+yTxS0DJ85skO5FNNH39ZMK/t/TMYvPHzVmU0XHD0cc/O/Z/jvushnAPuHnVu93ozlmNJ8FAGiadoWmaWs1TVvb2dkZdsjfnWlKlyIgGKCKzijgM5B0DbwkiIkT6ig5jjSww5gsakDiuH6AoGoJGGqG2ft3y8FB/NATxOP05Uoi2sRAUoAmADh51hiBgcS+mxgj96xrxdm/fAmD+TJuv8wvRam0mI71AtexVVG+qVz/6BZc/5gvKClmIPqGS6hNRjFtTAqXHzcZg4UyPu8p9osmBjwAAjTZiMl0LFIRv15cDILTUZNT0AGfSq9pGsbXxNHaOxwAYS5e1sL/X20VC/hBzAfmjUXRdvDsFjYf/u3s+YFzqSUJFNxVJyLY35uTAACRgQSEd3z71bM7kC/ZOHZKLWzHDSDxI9nenmE8oAQJRJknoOOPr+7FOb96iQc/Mc5AimIgX5bKbwAm7FuXiuLCpS2oT0UDDuUY4f1pmsaDUtFIvF3TmPNsGTrufa0Vj7zFSsFEjSU169HWnw8If/rHsvf0yIY2pGMmvnWGT668aFkL32RU1g9twAsnVEsZXQB4dXcP8iUb2QJrj07BI+DPNXLEOrMFTzNNRzpqYjBfCqwvXdkCsh6w0jtcDIz3dMzE1oMyS4UArsn1SSwY7wOq2UKZd/kB5Lm+YjoLaL55/1t8nsz35hK967V7egPMPwKct3VkMWdcBiu9AJEs4pUXAAQgpaRrnOiVH+oa8Oa+PknktLU3JzGQbMdFVdyC64LrNIhZtue2ssCGQK36VBT3X7kcL3zlZEyqS6IqbqGtLy8FF1Vxizu2tC40CSDbvR6DSZ3n1FFJ1Q2oilt46ssn4N/Ono/zjp4o/W2cwO5ozERx0wVH8vsHGCtvJPviKTMkJ8xv3V2EqWu8VJbOybqwiVoCrPuKWKZTFbckZ0oc63XJSKgjR+OBOjzR+XZ2DQVEtMmozHR31zAfQ4mIAd1rO1wK0aDQNI0xkEKEjftzpVAGksjqKZadAAO2JhFBPKJzkP3zd78hBeAiYGkaGu/wRc9BLUkbK4wVdW0D2Dp+0ydZK+J4xJASUirbGJBZTFeeNI3vD3FvHxYzwguFvS5XsrFqRxdOnjWGv8+SHd71tS4ZEUrYBEaC9/zJUY9ZBj63cjq/52sfeAtrhfL1TW2DmNWUwUOfOw4rptejK1vAcLGMiCl3/6PET8TU+d5F9vreXrT2DgfYHDs6sxy8VVkfuq7xa62KW9x3ITBEHBfqehWP+GV5pqHx8QcE945soYwbHt2CS29by7UKCdDwGUgRHsyJ4z3jMZBKtq8jErfYmlH2dJzEdai5Jo5pY1KIGDoP5KePSeH+K5fzslJaryOmL6g+pT6J9a1+Mo0CNwIzkxGZgVQ9Qhe2qKnjGA80ICaAuPW93xMf5/cYtySfNBk1JSHnmiRjqqgdDzWNPXt1/jouS7zYwvXajgIgSeXwRTRmolg0oYaXiwNeCZsANJme9t5gvozhoo1EhFUItNQlpbKzgwN5pGMmD7xpHxC1eVyw9XVMOhpSwiaz2UQ/c2ZjGru7hjnoffyMBlxz+mwAwFEtNRiTiaJ/2GfWPryhDVsODuJETxsVkAEWQ9cOi4EUt9ixRYVhSc9zRmOa783LptbhS6fOQF0qiin1STzmldwT25e+RwTxTV2XxtaMxhQWjK/GIi+hu2F/vxTET65PoneYJdBSHhA2Ul62NhnBjMY09vX4/hEJyZMNFcuIWgZPagJsHor7BwHuKlusLAC9ozW/yuPQn1MTowB7/nJXVfncahc2GpdFpdSaTGz8A+F4OlbX2bghgF3TgqVdqozC4ZR6EaBp6pqUNA87100XHImLlrZIf182tW7EMdyQDib6xSXEMv11WU14q4/rPQbS6C3sSalTtdIxo/ks+6Xr3uy67hLXdZc0NDQc5iX+7zVaYJdPq8PC8VWBLgBxy5BL2Eo2YqbhiTP6In+sC5vMCAlzgFX2juu6fAFUKYmaJmeIyM69aZVwDPuXAoPKJWzsZzFg+NUnFvNNiibcuOo4IoaOe9a1ImYZeOCq5ThyUi3/jBpQkx3hbSS240qZE7FeXqWwEvuGrj0MDKHyk+9+aC5+ef5iLrbn/z0KTdOQipnIFtizFTND9emoVJMrM5Di2N+bC3zvUS21+NOnlwIAThE0Q1Q7fUET4paBbR1ZpGMmzj9mYgBgWdIil/FQVq0qbmF/X46X/ABAk3evBLLs7g6KuK7a3oW546qwYjqbg2oGNhUNZkJEE3WPxOsjsOWeda14bW8fD364FoQXdKj6UyK4o7JngKAor1rmM31MigdptYkIDF3zGEgunt/aiWTECACro7F01MSa3T1wXRdrd/fiyEk10nlGYl8QDXpGYzoAML++t5ezuOpTEanEisYR0cZ//PgWbDo4iKjJMoFDRTswPuiZtfbm0Ddc4jo6ZJmYhbnNPijUUpfg43lyfRLHCgwowBdpBWSwYGxVDD86ZwHe2NeH367ajYihoyEV5SLZAOvoRsEKQFlH//7mjctIzhvA1hOfgQQO1lDp7Z8/sxRPfukEXL1yOp7a3IFbX9zJP7tuT6/EKCqUHL5+kfaYOJ6f2dyJ+lSUg55VcYsxKrwx1lQVw4G+nATcV8UtTK5nc4wcfnENI70qdVxSG++wzjGapuH8YyZyxhKZeI7fX3YMVkxvwIrp9bx0c92e3sB8EN/RsVPrcOZCX5ekWGZdirqzRdQkI9wplgAkAfBwXeC8W1bzLoMAAuNXvQ/x/dMeQL+jNZ0c77W7e2QASTgXlVBsPjjAwZu4ZQpru833IGKEAWyMkbA64HcaHciXQhMwIoAUVuZcnYggETH5+rXfYx/RPYiApWXoWDyhBu+fO5aPKXWtETWhVGYrGc37dMyUWHdh+9mwwrYi8Cbu/Svuz584ZpL02ZLt4uRZY/h7UkvYyFrqk9jWng0wxigDTyBP1NRRFbfwvbPm8WO+ef9bvBRxU9sAZjelMa+5Cmcd0QzHZSCi5QFv3VlWokvitk9+8QQsn1YP0c7+1Soc9+/PBILx9oECPn3HOpRtRxpTAQZS3GcAEfAgjguVERuzDF+DS9d5CSUQLNMulh0ulE5sV8dlAWPUZJ+tTkR46Yk43ptr4oy9LOiIEOhM5ZriWKDxp2laoOOeJQCCgA8iRgwdk+p8cfr6VJQH9cMFppMSF+7X0CEBeLbrSuXdmqbhihVTsPaaUzjgS8/5S6fOwJkLZXkDNbFSk7Akf7Q2GUXRdiTtvnyJsY4sQ0fZCXYlbuvP+SVsnuCv+D3qenXa3LHQPUYRBc6DCgMJIEYYY2eTT2vocklfseygIRXl6yj5WWLjD8dlZXcsEFdL2GQQRAKQxqaRLZS5fICpa7h4WQtuvWgJbrlwCariFnqHi1KjmNU7Zaa6yA7XhXFC9zIigEQMJEkDyRfRbqlLcr0gMaF6zJQ67PBK+imJIgJIFPtYhi6Bh3/+9DJcd9Zczjg8bS7zkx/63HG45vTZmNKQxN6eYRTKdoCJHGYMQEpJvyvajgRwDhXKiFm6lJRlzQ/YvDZ1jT/DIAPJDYznQ5vP5DmUqbEbwJ6/+D4Slvgc3EDJsHh9Ydeqsm/oOwkk4l3YbLpuLXAedX4dDoBESQ7D0KTKEjI1Wa4mp46YUM2vOQxMlBhI/F9h/xKAfTVxogKG72kgjd5aAUwQfh4P4MAojxnNZ9/VRgvsVSdOw8IJ1QGaX1RhIBXKTPNI18USNp23bBQXBTusvCiEgUTZJJWSqEFmEVA2UaxDJueKl7BVYCDRBLOUbDSBPbRXGrrGWQfTxqQkAWNABgxEWz6VOY5TG1IKYOMfowJI5ASo9EPRyIH/4PwmnL6gSerIBfjBjtjyVBQ3bEhFpcVdzCqMr0lgqGjzDJRYQtJUFYOuQQroVMvELM6eocXzXKXT2FkLZUIfdVnasL8f2UJZYiBRAEoBototCmBtdklwEAgGUWqAqpq68NJ3FcoO+nMlXjpITDkKqOi913tZK7JaCUCSwQ+ABQCiNStlPosmVvPsGX1ezMITcHXR0kk498hgFzd1zpAdN70eW9uzWLWjG9s6srxci0wFDOpTEXzIe9c0XqaPSQWe5+t7+3imsD4VlRzUW1/ahaGCLzrcN1zC81s7kYlbSEZN2I4bAKi/feZcACwjXyg7ARHjdMzE1z4wi+ueLJ5Uw4PjlrokjplcKx0/o9EHkNTM2ekLmvCxJRPQM1TEytljoOsapntOG23eqwWh+5pERMrkXHXytABDg5ULsGNc18X0xhROmNHAywUbMzFMG5PCF06ZgRs+sgAaNEyqSyAZMfCFu9/As1s6cbR3D0XbCaxf46rj+NgStkU9s6UDK6bXcydCZQ01V8dxoD8vBdVVCYuDhcQQEt8prfeqPhd1dVOdfNFUwFQsYaP7MA0d3zrTZ76J7EaAva/fXLgElyxvQSpq4sfnLsTuH52Oq1dOR9F28PFbVuPutfukdZfKrtQSlOvOmott7Vkp8Km0XpPJABJ7rvdftQx//exxfG+k+dAzVAp0YSOb2pCCqWvYcnCQB/VUwgaw50xMjb99/nisveYUAIz6L7LyaN0ZOEQJG2txHgSQahIW4paBfMmRhPgJpBb3IMMTHb7pgiN5d7iYkrARx4pa3kl3P7spgwuOnYRfnLc44ETvUzq5iQGkZfgah7yETVj7PrigKTDGj2qp5etjyXZCGUhLJtWge6iIXV1DKApdYclHoDWCPis6+lvaB/Hbl3ahtTeHwUIZc5rYutnizaHtHVlETB3HTK5F0Xbw0vYu/Pq5ndA0BgwePbkW5yxqxoTauNQ2vWg7gbVjuGhjW0dWatlsO4yBRKBMVcLiGjk0rsUknLr/MWFwn3Wtwe/CRsy6C5dO4uejdyh2/dE09kxqvIQGjWFxOZ3mdbDa3T3M/x7zNMOGimWJ/QHIAaGvd8VuTBWGpTU3Yuo4ba7PCqIxfNQPnkRntoiEJxh+0kwWxJ86ZyzGCBpcjuMGABxd16R9mq6rLhVB1DTw1ffPQiVrqU9KgDWtLSLwkS8xoDhM0gFgJfy24GvailCymFADfFaUZegcsMzmSxIDCfDL6YaLNpdlAIIBc306yt/5uDAGkgcgUoJYNF3XpIA2J8QFNKdIs4z0t1bObkR1grFrXt/Xh75cieukrfXK2MKMMZAOv4TtOx+ay38nlrC11CV5uWyt4LOIvhxnICVEBpLrnUv+/nSMiZjHLAMbrzsNX/8AY1vNa67C5SumYFJdEvt6chgujh5Ami74LkCQYTpUYHIhIsifEQCkxUpCR7R30oWN7J2WsJm6z8L79plzFIF7hYGkzIORNJCohI32Ds5A0jQYuu6XsGnB2EolABwOK4vGmKnroTImKmij/jy5Icn3uTCZWZF9H1bCZgr+TkADSTnXe13YRm9rAEzXNG2ypmkRAB8H8BflmL8AuNDrxnYsgH7XddtG+dl3tf3owwvwvjmNWDSxJrB5ASwzKHdzYowjXWMOSN7TRIqaOtr681i1wxfIDdPSUal/hbLNgxg1+0mZkJGMo89Cxk4+vyMdJ05qU9d4CQ4BB4APqoUtinUhLBMAOHpyLR77wvG4ZPlkaeMTA/x8yeGBGeDX/IbV+5LRZitm8J7+8gn44Tnzvb97AFLMr8f/65s+BlqfjgRo3QCjexIYtatrCJPrk3j46hX8uAm1Cay75lQcPyOcbdeQjuLoybV806IF8YunzODB6J2XH8M7qZBdsryFd60CIJW4UADaXB2HpkFqlysaA5DYe8wpWXEV8KhE5YyaOuY3V3FGyfWPbsFL27u4k071+OT0t9QloWksSBVBL7EttwogRQw9EDRcpATQiyfWcBCzTiknAViWEwC+e9Y8fPUDQef2CEUTi1ht13rlaqQ1oIoxqwDS2mtOxc/OWwQA+NE58/GrTyxGS30ytMR1s6epUJ+KSs/bdZleDLGMHrxqOf74qWNx8wVL+Lh/1hPCBVj3CSoTessT6A6WsLGsL7FdFk+swS/OX4SjW2oxrjqOCbUJ3CGUmE6p999NWBLm2x+ag/OOnoirPS0LcnxXzmrEhu++Dw997jh82wM8OrMFqfwpahoBRqQmZIUclx3zu0uPDrwXADh3yQTcd+UyXP/hBbj2jDnIxExc/+EF+MlHF/JjVCfZ1DXM8DKnhbKDFdPruSOoOkNN1TG09cui+NXxCGKWgV+evxh3XXEs+5zyTnVNLlUCGGA9szGNjW0Dkq6UaOp4F9+dmK0V17x5isbOEROqcMqcRg4kEtBPQSUxBsVxSGMuV7J5QJeKmrhwaQue/dcT8dOPH8G14sIYSI9+YQV+fQEruxLvm66/qSqO+eOrOLBLwAmVyHETlhbSa9lycDBQwgYwh4/2slTU5M8uETGkxgLUwWsgV5aCT1r/CZwydE0CY/xnE+EBemvvMHdACSgTSyjDnEx1vRLHYzZfDm3QYOgavvdP8zCxLiFlQnUN+Oydr0nHioAHExv1uqAqoALANCfuumIp/vW0mfx8YsmoyEB64ovH888dMdEvK1G7fAF+dy9ap2is1aciWDlrDP7ryW285TIxGifVMT+hZ6gIy9Bx9OQ6mLqGy37HhKBdVxi7XtJNFIjf15ML7c7zxr4+KdvsuDIDqSpu8THkuozRfPdaX3VBHQMyA4lpIG1tz6Llaw/j8Y2MbUh+je2KIs8u/0fTmGbMxzxxXq6BJAz4qd4eSOWlgO/rZD0dHpGJLQavMYWBRM+/UPbZHgADgOaMy/AkASUXeodLeHNfH/ef5o+vwu4fnY4jJlSjIeXP50JIiadq9M5o3F2+YnLFYzMxSwJIaW25+Ldr+O9yJZszkMI0Gg/25yUNK8eRg+Xpgm9Rm4zg6BZ278dNr8fmg4M45SfPYUfnkKSNB7B9MlvwS9jUayRrSEX591EJm8gyJQBR14OaWWI5HODrRALArLEMnKExr/rtp89vQt9wCXu6h/la9NoIAJKuaVJzD11jvmwmFg7G0Ni7cGkLZ1OauoYz5o/D1SdPQ1XC4nNZ3P9Ef746hIFEAKRl6NJaKAITiYgZACpa6hIo2g72dA+HlndFDB01CYs34EhFTUyqTUjrHwOQ/NKzXMkOZSDRZ0hfh56faAyYDlzGiHY4JWyq3Agg6/Co2q2OGyw/FuOgsKQ6X/e9cUl7v9iJ29B9FpqGYGylJiSskBL2SkZjTNeCHQPDzqXGHpPrkwIDKbgwiex7rlsnMmh1n+0e1txJtNF0zns32P81gOS6bhnAZwE8BmATgD+5rvu2pmmf0TTtM95hjwDYCWA7gFsAXDnSZ/9vr+nvyaY2pHDzhUsQjxjhAFLEkAZrwVvEdM3PgEYtA5ceNxnpmInfr97Ljw3roqVqIIm6CqpqvQZNEjkL8wV4CVsFDaSs1yVD5wCSJnxWw4kzxiBq6lJmnBw90QEiq1OCJipHsAwdM8emPVaTv8ldeeJUudOHsGHR+UdiIBFAJC5OUxpSHPyhzVjs5vMH4R3Up6I8OEsJHUtIAwlgWeIwoIU22nVetly031y4hHW88TZ0ygrouq+rFbVkjZJn/uVEfOuMORKoJrbVJuApYupoysSwsyu8Q9OiCTU+gKRk4QNBdVVQcwgA1l5zCh64ajnf9Pb35XCDoFd1wGMFUDnWnHEZvPGt9+GD85tw/UcWcMqyVMKWlr87EzcDC/mssRksnuhvpifOHMM36jAGUr3EvAgGw2oZ0cQ65oQ0VcWQipp40yvJUjOWIzEz6lJRfNDrVhhWsvnERr89ugggXXbcZOztGcZTmzswNhPDwgnVWDq1DnPGZficoBbrAAMWquIWkhGDiyuHaSABwLTGFHSNdV47eVYj/vSZpdxJpXJGABJgGeb4JCImfnjOfJ6NJAeuyitPmNdcxTs1qhoEQJCmDAgBzyHE5wGWoTxmSh0+fvREvPnt9+GjR02QWFcZZf0ydE26hiWTavlcVRsGjKuOo2+4hL5cCSfNbMADVy3nAMnpC5o4m1J0ohrSUTRmYoFsWV0qij99ZimOn9GAJS21uOL4KbjnM0ulY9R3JQLuqnaIf155PKkluernCUAXAyH6/6FCmb8PGofpmIWzjmjmgQYBsKLNGpvhzAZ6PnOaMvj9ZcdIxyUV7Yqy7VYsYQOAmWMz2HxwkK9JccvgIGallsHJqCntr7Q/FgWxXToO8FkklqGHlrDVJiN8H90jsH+YnosuMZDCaO5qEkccj5sPDhyywYJoP/34Il6KSSaWXFlCtzHS/BH3Ql3XMHNsGlO9JE+Sl5v7JU8l28GkuoSUvafxMaDo09B6cc6i8ThnUTP++YSpAEQgw8AXT52B4aKNW17YCV3zA+P6VIQHghGPXRPW0IKdh+kjqxxgGQAAIABJREFUbVM6DIYxEd7c1ydF5dTVjOZ8ddzi1207Ll4QOlgCIRpIlq+BZOiMSULlFg++ccB7jgY/nwhOAb4G0llHNOMrHhvH15n0v0dMolCgSPu66yLgB5F4tngczV21s5Ba0lbvrTOkgQawfT/seYoMpDDNLtXonqIhDLgwE+dHGAMpV7She6wt2wl2iT3Q75cY247rMZD8v4vgxvUfXsCf7VUnTcOdlx/DQU91njZmotjdPSSVsAEhDKRUhPvMdakomqvjXP8KYO+OAm91rqvBuDi3JjckYeoatneGA0grZtTzvZx82krdegH2XkSQzNCYJtIaxRel7xFjB1pTbMfF/PFV+NL7GAA9d1wVdE3WABT9+bFCt1LAK2Er+3pi9PvRkDsIcM4WyqHjNBM3UZuM4I9XHIsHr1oOTdNgGrqsKentATQmhwplxFQGUszCTz62EP962kx84mih5Fe5xnfCQOJvf4T7fewLx+OX5y8GEIzfpFhL+Zyj6Je6gCTyHfaMaZ1IKMkGOlTTGchiSwwk+Rxq8swa4WWq7qPIQArbBtUYSvX9W+qSod3qyOpDGEiimYbml/Edhvbru9n+Wwr1XNd9xHXdGa7rTnVd9wfe725yXfcm7/9d13Wv8v4+33XdtSN99h/Vpo4JdteJmYYiEugwEW1d445y1NRx5KQaPP3lE/FdgUIapuGgUv/ETT5QwqYwkMImFU1ScjxFAMnUNa6HQXNZdRB0XcPG694vUV8pcBAn+yNXr8ADVy2XAnoAmDGGOa5icCAGmecdMxGrv76S/ywG5LTRiwGiumidu2Q8vvdP8wI17/RZCoBili4EFxrPZNWnoqhNRnDxshZWc6+UsAFscxnJcVJBM8B3TOi6xGwCPb98SabtT65PShoIlyxvQcTUeQepKQKA2ZCOor0/qL9S45Xk0GKttoUOMm1k9gQ5Dyy4k7Mmu7qG+AJNOkCNmWBZTnUiwhksopaQysiolLmhYfyfH1uIsVUxvjFSO1ZxLIkOoLghfeaEqfjtJUcFAKRJtUlETd1rKZ/kzDp6Tw9ctRw/OHveqDMUKqBhGRqe2tyBRMRAQ9ovYZtSn8S1Z8zB2YuaA/cAsAzUrLFp/OL8Rfx+Ux4NfHxNgjOQxoQwkADgxBkNeP4rJ0mBi2ifXzkdt160RJpLo6HxUgmbmNkck4nh+BkN+PG5CwPnCNOjojFzGLE1ACH7beq47LjJuOOyowOAnabJdfyJqMEDlslKNzQqUWvtzSERNUNZUIA8Rz61YjL+aVFo3whUxS3cfunR+OnHj8A3PjgbS1rkcsHaZERaryo5RyJ4WacAOpWC8LMXNeOX5y/GZccxRoAIqtIzGsyX+bqlMg9pjalNjlzSSvP70uMmB8qV1fuxXVcq4VDn96yxaezvy6HDez8SA8l2Qtm06neIeioie4aCfkraGML+KxqVsAHAXkFDzlRKd4DwTjDq78R58ZsXdkmMikMtIWcuHCfpPQGyjpJp6EKWu/J5aK/jpU9epzZiIKmtmGmtGyqUpX2J5ls8YuAnHzuCv++I4bGgLB2zmzJIx0zs6R5Gi5Ax1jSNB4X0jJZPlfXXyBiAZEsMJHYfwfnxxr4+vidT1zBdkxlI9P9lxw0A2MESNh2nz2/CKbMb8eX3zZDeEflxxOwoC23m6a2SBpJofNwKv6+KWxxA5gwkMYjXZRFtEdTw36NSwmaze6FOfPTuKDMvMmI6BvKhCT5xfVZLLsOM7lUcQ4smVuOTx/oNAr586gxc/+EF0rUCQQAdIAYS2/9KjhsoQ23ry/OucWXb5ZpXot19xbF46ssn4JQ5sv7ksmn1/PtVpuCyqfXY15PDtvbsyAykdFR6vyfMbMBL27v4dbpg40/XwzSQZBFtsYQ2YRmYWJvgfpMKVkRNg5ehiz5VJQsrYaPz/OWzy/kzID9QHF+0J6gMl8ZMDH/93HHcRwHkRBoBPYdiIKk+UZi11Pt7SZjMQCpqos7zzcU9UCzBJwYS3SPJh6gMpKaqOK46ibGsSEep7Om4kdlO+P4zkvFk8wgI0syxaV5RoFZsiGNA9TddV97fXFdhII1QwnbHpcfgmtNnczBIbKRkaH5nP03TAnOrVvGvRop70hVirkrPUd2HRPv1BUd6HY4rayAtmlCNU2YzjT8nlIEkayCJ7/cfhHAUsH8Mpae/ExubiQXoljGFgZT3uirpGiQGEsAm+EXLWnDDR9hmG95iXab+kfAzEBRi0zVt1LWcYRpIE2oTvKuBz0AKDjl1QaCNRFwQ54zL4IgJ1QEwZeXsRiycUM2ZKoC8WKaipsQekjYsEoHT5eNFa6qK44JjZTFRwNcfafGc2phlIF+24bouhks2B5bEoEEswdA19qwoKzRa0TXaoIhJQNcrbganCY5CmAg6gQtUbvitM+bg1W+ulMpJdF0L1bdYNLEGmkcRB4IUfmJX0GLeXC0HhUunsNIDyuypgMCyaSwo2N09BE0LF8YGWDbrlW+slNpe1yQiUiDUMRgEwAB/86B7+NSKKbj3n5dhmSLAClQWAb565TScNHMMFk2slr7zzIVNHBCYOibFS1boPR0xoTogTjuSVcUtXHeWD65S3fm5R45H1DR44J4VOhGJ90Y2tSGFR79wPM5YMI6DeDS/mmviXNesUSmXoqwzAU2V7IunzsDK2Y3S3BuNwzRzbBoTauNSu3kAuP3So/HhI8cH2qGGMpAOgwZdya49Yw5WTG/A2KoYLloqvx8xs2XpOu+qNV/RtaLnajvuiM4MtSnOxExccfzUEXU/gMp0aMvQJcArTEgTkNc0kYF04dJJksMsWm0ygtMXNHHAqSQEM+Q4ZvNl3jBALV2mawljIIlGWecwBmZccYhtRxY8Vh8LibS+4em8JSKmXMIWyohTACQhwSIGcBT0E2hkGVpAQDkTM5GJWfze94gAkhEEkNSONIC/T54yuxFXnzyN/746YaFQdnBwILzjYyVTGaBiUG/qmtAquvJcpWdE+7IlZGGLZScAesVMA5rGuqONJlMrMpAMXeNlQ+qaQEEhff/SqcH1mp2HMZBUvbewBg9b2welZ0KaOCIwSntooWwH7nW4WJb1hSwDyaiJ31y0BE1VcSkQo2fBGUiuy4NDVQNJNI4fKddOSSqVgUS/k0Aj4W+8hM373IXLWnDWEeNw+XFTAABRJctOOkAnzvQ7YA4VbUWUN2hDhwEgiev6/Vcux/f/aT7/+XMrp+OjXnJH9GfC2M15KmHTdZTtIAOprT/Hg0LyXdR3esyUutBqAMB/dqpfdZxXCt49VJRKJVWmcX0qyl+kC7YvDxVtDHlrCZXUMQ2kQ5Swiew+Q0NLfVIQNA/O5zM8jcXGTOU1mQBrXdOk/URcOxeMr0ZzdRy1iQiPMcRjqeQ6bA+cO65K8vnCQMCYZSBq6hjIlbhfaxk6/46RtJjIGtMxAewz+P5C9ze2KsaZlaJ97KgJXDaiWGYMJHF8xEyDn1fTgms4NRVxXLmJkf0OurD5HZtHd/xhMZDcYAdlSUQ7DEDy3ufEugQuXzGF/168LVPXpcoXdRymY/K7G6ndvXosaYtR/KJe4kgxFMVEtCa6IfU01YkIfnPRUWhIRf2y5oAGkr82hhE0/tHs0Opi79n/b6ZpGqaOSWG9QDuPW0EAKWYZMDSNZ7+Cta8+hVS0su1IAtiAzEAyvXINceEzRkm7JDaJKHI4oTbBWzDTQjKa9oY0ycNql9VM9/Ez6nH+MRMDx5Gpz6Y2JOMhOnmZmDUq6vWkuiQevvo4zPYo9jFPd6FQZkHOzMY0NrUNYoHXClnXNMD1tYrIcRxfk8CmtoFRt32847JjsHZ3L39GxC4QX/XFy1pw+vwmjMnEQttd0qZcJYADqnhyJV0oKv+ixVoVkqUgiYEnBSyaWM07p918wZGY3piWOuWIm+o5i5uxclYjnt3SiT3dw6hLRkfcYNRMmqFrqE1GA2LpqtGj4u2PI4bEJBKfpdr1i4wc8upEBHd+6lh8/ObVAID3z2vC++exjJDI1lFL2A7HLlzagm89yCp7L1negjtW78HnT5nBvt8L3OmZkrMzkrPy+8uOwTNbOrgjJgrDj83E8OSXTkB9KoL7XtvPx/c7sZFKQ8kSERMvfOXkin9X50XUCo6H6CjB19HaNAVUEddA09BQn45if18uEOCKulYjAUimoeOGjywIsNfeidWnIrxEJhExceWJUwNlyjITwR/P3z5z7iFBPgLnSsIeVCOAlvM8EO2qk6ZJn6P5cUgR7RGCDXX9tx25jFrNzFInttf3sTJNWUTbgaEH56CatRWfndjQIm4xUCRXEjWQ5LXvsS8eD13I3O/p9jXkTF0PgOFhgAbtRcdMrsWnjp+C/lyJaa/MbsQX7n7j/2PvvuMlua5C369d1d2nu0+enEeapNFoFGdkJSuMJdlKyLIRlpwxchCScQKMjeE+gwnC98KDe+0PYPzhktN7hmd/LgYumGySTbjYYOEgZEuWbGVNPKm73h/Vu2pX7Ko+Har6/L6fj3Tm9OlQ3V1h16q11g7McJdFOKPwuPH+KpbyLmiknaTofbB+X3q5Tyy4GUZxWcXNqi2nllqZAkj6tfW2fcXe9fKpB5+INBT3MpA6r3fJ7jkv89fMBpyous2kv/D4cVk/WfMamTdjPu+2487+KKKbaEsoA8kvSTyz1IqMJ84staRRtb0gVFwfSU1fkNHjjlbb8c7szEbe4av/OrgX/o72bZqSv/nK0ykZSEYAIBTkEvGPFTP1qvzM3Rd7f59t+iXwIu5J8YMfuCkS0GjGZCCJiHzqu6+V63/yLzJlIOnlirswEMfM/An3jRPxA0jerMShNg6PPb/gZYDq5tXhspo0+ngUzkDas2FSts815OvPnQl8D9ESNj8DyXH8jLbF5ZZIo+rPwiZKwh0o3Mf534E+L9i5riGTtUpgG4g7/l+5d7284ugOue6cTfKzf/4VL2hl2jRTl+MLJ8UKlUCGjxPNmi1V25LjCytycnElcFz5wB2H5QVnr890fEuaVXm2UZXnzyx7++CKpWT73KTceGizvO1F+7s+r2W5k2V88ZsnZaJiiW0pWW458j9edYlce2CjnFpciT32XbVvg2yeqcsNP/UXnSyTYGBiompJxbakYrkBtvAY53teco4st9rym//wiCyuuPvGzz36vDx7ajnwellG++aMzVmEA0hpTbHbkQykYBPtuONB0jZ6w6HN8vF/eUwqndLRhRX/mBLO9Akf5tPOe8LBOb3f0ss5PVEJnM9muQivt9u0bHWllBHQ9283M5AWV1qhEtO1mYJEAKlg9m4MBpDcAZK/o9eN3FRKAEmf8Ky0nUDacTh4JBIMINm2nv7UfV63hC3bclvKnbLT3AntNE5M9c1ZNnJ/QBRdPcMDtG7PZ2bLiAR7IOkBpfkU5sFf99lJYma/1KuWnFlued/JjvmGN9OPuxzuoT98UNgx3+gEkNLfx4+97Hyp2Eo2z9QDTbCnJ6JXY5RSsqkTXInLQNKz+iVlLIjEX8GqWMrrd5PUA8m8cveZ993gNeEVEXlx5yqAOdDRg+Nbz98qP/WKi+Sfv+ae/D389Ck5tDV/8GLDVE2eOrkoH7zzgsTsCn3SpEsxkv4uEq3R/l/f9UL510efD1yxv3zPennvzQflrFBJ0z7jswin4/bqXS8+R952/X7/qnPNlr/83mNe7wn9vaQFBnaua8rrrjjL+90MfMw1q97v39EpX+pVWnP6zM8RLmGLWZ/7kYEUeL7QawbK8mwlv/C6I/KfT56K7Iu2zNa9QVM1Yd3Svu3oztS/Z7Vpui5f7My806jaXt8Ukx5Y3nfd3twZYkc7JwF3v8BfXh14XG61ZeP0hDz8wK2Rx+nPJimDT7to55y85+aDcnXMZAHh/VOr3Q6cxIZXr+1zDZmeqHjN/xtVf4C/1ErqgRQ8yTaPh+YFmIrtXiDRZcoVy4rs+3RGhG7+bfZAypqB5M341Xmfs42qfOhVl8gXv+lmveUNIOkMWS08IM7SqFUP8r1+ZY2qKOU2cI7LQBJxgySnFlciU9fH0ccjbybRIzvlz//jSXnLtXsC99MzsVWNjKWfvusi2T7XlMPb/WOFfp6nTi7JFXvWy992ZjKcCgU89m+aki89cdILODridKZ1F9EnBLMNvyTxzHIrcjw9vdQKHC+iAaRoBpLeHlfMWdg6P90eSMHPR3k/g3/QFyj0dhyedj1p9qlwACnstZfvlsWVlnzHVf7+v161I41n45qSi7hjgJpt5eqBlLQsYcEMJD+AdGjrjPz748dlYbnt9bBaaUebaD91ctEbT+vm1eGymrzLIeJ+zy/ct0F++7OPBALf62ImOvC+cyfawNzpPJdS0UlwLGN7FXGDZUd2z8vHvvNKEZHA+CNu3161Lfngne6EEVP1SmwASe/bbaPVgX7t8P2m6hX5qbsulD978MnA+HW6Xk29qGvS3/vrQlm/s42qPHfaz0CqVdwGxr/wuqOZnlfE3fd98ZsnZaJqSdWyZEHa3nedNjOb+Z20nGgGkoi7PcRlQs3Uq964dWG5JVMTFfmWD/21iIhcuGM2cv80eZpoi8SUsBnfSfgpHElvoh23/iRto//1zgvl3TcddBMbLOWXsImSuWZVXn7Jdvndf/q6+15Cz5tawtY5Pn7Piw/IDYc2e/fV47HpejUUQOr+OXnB25T7uGM4HdA3xgBWsAdSTIvhNYcAUsGE0yrNq1si/kxDluVnf4QHLXoD000CteeMma30QNh87qrl1jTri5RKVOYMpIqlZLpeDezszBm+zH4jWcVFvMP1zFnSQvVUuK22Exgs6AO9uczmDu3nX5v9YOVO3dzy0rbDO3NL6RI293f9eejsj24BpKQDclwfAlPcZ7igp+FMyK4RiT+APPiBm7yDkt5Zh6/C60Gtnj46y0nqF374JqNBXyfF1IlePc9i4/SEPPiNE3L7hdtS359I8mdunmSFM6AOb5/1si5Mb+k0hDWZGUhZppLNKrxMu4w+UFmv5JrME9u4fgG9ypKB1E140BCXgZSW7dOL8OdrrsNVy5JN0/VIxp6Iu6ybpifkm8cXvb4ug/Z9Nx2Uv+4MUJO2NaVUbJAni21zjchjZxtVue+6vXLbBdsSH+eXsKWfnNmWkntjth0R93s1M2JbbQmVsEUzNQ5smZZ//Oqz7mCvYnmDYncWtuh6Yu6nt8zUA41l3d507pVrPXj0Aki2kjOn4oMj+r2HeyCFG5hPxQT/9bEonO2hg7qPZggg/eabLveO9fcf2yd/99DTsVN2K6NMJm1LPW/brPyPV14s15/rljBVOv1Inj29JMutduxsqZMTFXns+YVAEC1Jo9PgWffgm21W5dfeeFnkfuEMJBHxsj1N5j7wwOYpL4AUXs5NMxOysNLyyuxFJDKt+1zTL0k8HZeBtNwKZGxH2wD4/170AkidDKRW21uH/ROWuPU6+FPTFyj0sdh87aptJQeQvCa48fuoWsWS+67bF7ldKSWfeOtVcvuHPh15vTDLEjmxEJ1qO3q/fONCc/9vjg/0OOjMcktmK1Wp2G4pjfnd6KyWx553v29d4p4nA0lvKeEMJBG3jO23P/tIINMtUsI2PWH0vXK8MYoeyzuOG1RMnIXN+F3vn7SzjWBxXLDcNF2vyqnFViRLTB9nLRXMaAlfDHrgW8+Xqm3J7vWTXqP7XsUdm3aua8rDT5+SK1rrA8uVhw6oTVRsr0H0fJeefCLBpvKtUN8zvf5NVKxA2wyT/k7PLLUC32HvPZCyiZSwpbxe2xGvQblIXBPt7AGkWsXyJuCxLeVl/Snl7jN+/OXn+wGk0POmraf6852uVwPrmJeBZFyAyTq+0fvEcxIuLutljCths8weSCvtQHYjPZBQCGaduUj8SX69aqWWsPlNH4N1ms91IkNmI1XzIG+m6Im4G0V4xx03jbCIyCW75+XKvesDAyYzgKRvz3IgsBIGTCLRnWRaiZNJDzrjStgC9+sxm6FeteXMcsufASg8o10nLdKJZCAF+zrk1a00Ku4kfnE5fr0xxWYgGcuYVMKm+1ToAVaW79ssNTEDGGk9d5JsmHIHaGnvLdwDKcw8eXvpRcknyd3sWuc3G19NCVsevTSUNktr+jn9aC+DvqTn0N9VXEZdr9tOkvCVLPN9dAuK6SyUXvcjeZ2/Y1a+9yXnRBp6D5JSSt5900E5tC35xKGRMQOp2+uY+9G244RK2KJ0GZt+XGAWtpjvzgzABxvmu8dPP4BpBcpZbRXfRFvEP0aZV3grthXJQIrbJ+j1K3ycnerMmGhmICVtqlfsXS83d2YybNTis9I03ZA2PKNg2LdcuC04u1TTLZ1casVnIDVrtvzdV57OtB86snudfOhVF8t/ue1Q6v3O8ppop2+D5j7CnB1uomKFmvxbctFOv8zGbKKty5vdHkiWKOUe68z3WrGUnFpcCRwv6qHPwlxSnY2lSwBbTnQdjstAipuFTaR7BlJciaSI0QOph33UYSPrOq7FgLnMOjixd+OkvOWaPYn3y7MsZgZqxba8451eN88st7yZM5dbwSbaejyqZ1LTAaRe9lFxx6Gr9m2Qqq0CQaO4Wdi8IHE7moHUdtzgUdwsbHEn9eaxz2wc3S1YMd+sevtKkz6htywV2N9F171pL6A7COdsmZYvP3HSO8fJOs436QlW3O0+Ov5Potep5bgSti4ZSCL+sefMciuwb8g7C1vbv9qc6f7hEl3zMwuvO47jZiB5+4xQE+24l8xyoc62/Fkn9VPUAsuR/Tl1gCg85tKfY5Zm6mHb5xryG2+8TD7Y6RMcRymjpFjM7095WZenllqBDCS9hP2qNCgLAkgFc3j7rNcEWyQpgOTOLuPPwpacgWRegXm+0yDUjMKfCKUAVkMbe/hAFNdYWcS90vmjLzs/cAK6MxBACp4IpvGvykX/ljUD6aKdc17Ku/u67v3mAhlIRi+CjlrGXkRh9U7fBd2ENRzoUuLulLxZ2DrLrSP3WXsghcWVsHWjrySfk3LlqFvarN9EO3gSNVGx5b+/8mL57be4U47nvepinjCGZxDKYt+mKdk220gNhOiDQrcMpI++7migvCuvim15Jz1J6f79pgfiWaa018Intv2S97uPowcL+n3FXfntd7AmPNDL8z709tzrfqQX9x/bJ3/2PdcN7fWyOLB5Wnavb6563TL3oyvtYApS3Hj83M5JkT6umU204/ZpDaMRsBlMspSSVsufHVOXsLl/Sw8kxmXxxc3CFt8Dyf0Zd51m+1xDHnk2XwmbSPr5x3dcdba8/1sOyatekK3kRJtrdjKQVuIbxk9OVGSp1U4NMphuu6B7xuim6YnOzE/p2/tEaOZRzQqV5VRtFSkrWek0uzVnYVPK7el0eqkVWIcaNfc2PX6o2ipyohvXRFv3Dmq12342itFzI3zs0s8Rvn3jtDsN/Mapurc8WiWlhE3vQ3vZb1qW8r7TuJ5S5jKfWnTHBr96z2Xy3lvOTbif+zPr4So8TtK/6213acX9TKt2p4m2UcKmA0j6tZ7sIYAU7tdlWjdZk0++7epAtrgZTJqpV2SiYnv9Cg9snvbWeR1cdBw3gOlmBwaf31IqUkZobgvbZhtGD8T07/YDdxyWB15+fuR2naVpG+U6Iv3JJs7j4JZpWWk78h/fOC4ivWUZ67GXDhxPVKxMGdZpGUj6+2rW7MRsJrNnmhkEzJ+B5P7MnIEUae8RDQhdYTT5Xl5pB7PMjOXLU8JmOr204k0c42dOJmc2pV1k1BdYwtlvetlmerwoe+W+DakVAUqC+2P/dS2ZrldEKZHnTy9FArwiIn/9nhfJZ953Q+T2cbW2wmUlYW68cZkU+oqYngUmfDAzp51tGQdQPUWx2bjupNkDyQoOzpSKzsIWzjhJYwaQ9DLlGbTEnQTXIxlI8Tug/+/+qwK/1yq2iKwEdjp6ILeyijRTb7k6O28dfY/NQJL4HkgivWdRxJ1Qh/3oyw4Hrhy+4uhOueX8rZFZDkzdPgd98vPNmFmBbr/Qz9rplkodFggg9ZCB9OZr9shrYmbNM/kZSPHLpgdp3U5osti3aUoee+5MX4IpWfQSQIqbCaUfstbup9Hrj35fcQPJ/pewhU9Ssj+/7ssxrAykXvzaPZfJP8aUNPXTTYe3eLM3rYYbeHVP9Lo10RbxZ+66ujMrkt7ullrdM5DMgI4S97gw2dkHmDOwuLMk+c/xYy87PzAbZdzgtGJZMSVsMT2QlH/xJ2zbXEM+87DfUy5teuesahVLvt3odZPVusma/PPXnpOTiyty8a65yN91kOGyPevlTx98YtXLKeKexL7mst1y3vb0khlzzGRuh5Zyv5sTncyYimVFslxbbUcsS4kl7n5Fn3A2anakXK1Zs+X00op3khHXn808edL9XPTFhJVOtpN+XREdQAg/Sfz7VErJJ992tXfMNGdFczOQ4o9fXjlwj/uoiU6D9PAJq8lSfs/N8MW04P062TgZj1fhIJrevs0LNJZSUq/a8sVvnghMQGOOR0VEnj7l7lfmeshkiMtAEglmvIkEy+M2dI6zdx7ZIdce2Cgbpyfk7zvllbo0VvdVty0VyULUfTRN5hjGspSc1Wkc3W28ES47+9h3XiE71zXlPR/7nIi4+yHzuYc1ftH0fvxzX3f7weYdR4q4Yy/bUrJuakIqtpL5Zi1ThnUggOQ4gaCw3mZ+/OXnRyb00fS48XQoSyXvZ5hlggNTuKm9GUTUz/Er97xAPviHD8pH//o/3Qykmi1yqlPCZmZa5yhhM5kl4ObxacNUTW67YFtMCVvyc+oStvBd/ABS/u02i6QStoqlxLJUp3x7OXCM1m8rywyB46S4o9w1zNyQ4zZa3axMD1qTStjcDCR/D/bsKTc7xrziciI0rW946sfwTk8f6LKYbVS9gI3ewLKcjOnli2syGr6CUM2YFqozAsxUfd0PybxK1XsAyV3nux+GAAAgAElEQVSOZ0/7MyKZlJLOLGz6oOC+zs5VlrDp50mL5L/6st1y4U5/kK+USg0eiXQ/+T+4dVqm6xX57MPpJ6J5y5jM7zc84Mui2unPkcbLAkt4j20vgLT63ePdL9gl9xhTnvbq9+67Uv7q3ce63k+vR3lK2FZTZpSmH4NOfZCuGZkgYf0O1oQDi3nex9a51QWEh+GF+zfI22/oPpNNEZgB5Va7HTipitt8j+yel59/7RGv2arexpdb7UCPB02fCN56wdZA4EeXsOnjhm1Z3n31NNvabRduDUxrbJ6Q6nWpaivZGMpAiluv9JX+cKaBiHuxITzDXhZxx9HVmm+6s5vtmG/IO288EPm7zk4xZ9zshx+47ZC87OIdqffR39NExQp8T7ofx82dwKZtq8h30HYcsZVbqrBxesI7vjZqtptRYIynmrWKl2UjEr245b6m+dydx3VO9NpGE209Tms7TuS45GcgRd/rbLPqZ2fWjPK6lB5Ifklcb/tn/ajUDCTjc43rkaX90O3nyf5NU4HJN/LQr2O+V0uJ3HvtHnnuzHIgY94cj4q4x8jZRjVXeZR+V1nHBlXb8l7TnLVTX7QJZyC5s7Apt4QtFEAym96bz2/SWTd5x1075puyabrubQ+6f43Wj4tBeZy9YVKqtpKvdCZE6KUcfvNMXf73O6+Rmw9vkYqlMve6qlhuE/Ollnu8MccD+vs6etY62bcpvo+OXt8XQiVsvWcgZXtctL1H9Pur2pY0axVxHDdAVk8oU4wNIGXYTnRWn0hwf/XZH7hR3n/7eZlL2L7yY7fEzpIt4n+OA2sLofxzgLjvb75Zk+fOLAcn9GAWNhSFucGYAxRtouKWsHlXvkJBFS8DqeUEDkJxV1zCjQ4DByQVF0DKnoEk4jb4/fzXjxs7sO4b2luu3SMz9YrceSQ6U1E4gJQ1tdacslbTM1eZg8JeD5SNUAZSeGduqWATbf06M42KzNQrqwpW/No9lwX6TfVDt2NF1bbkmv0b5fc/93iX58n3vsz1zWxC3U/druzo1SHpKmMe1x7YKNfGzDCV18W7sk35rtfzHPEjb5vvZwNtkf4EkPTJ7+2dXlRxqfm9ln8mCb9GnsHr9rniZyCViZlZEMlAitmAlVLykvP8zCevp5AT/z0e2T0vD7z8fHnpRdvlR37/373bHcdtqKxn/Krafn9ApYLHiXDmiXlM2jJbl0eecTMQs5Tz6fvMxcwMtW0u2Lg96wnRwS0z8vOvPSKf/Nzj8vF/eSzTY7q5Yu96+eozp+XDr7okNoNxqqYDSOv78np56O9pvlmLnBQdO7hJPv/15+UPPv+NzgUy/++OuOObiaolb33RvsDMg42qG0AKNMyu2t4FuLPWN2ODZXG7Dp25s6LTTUS86codJzoGUd7P9P1QzbY64wx3XU8K3PjbRJ6jhLH8E7Y8fap7DyQR8ZrZJ7lsz3r543dd29NyiBjBrJp5Iqzk6Fnr5L/ffbHc9+v/6I2Tq7aSbXMNOf6NE95981488UrYcowN7rp0p5y3bVa+5cJoP0VdPWBemLWUG4zUjfD929NL2ET8ks28x169b9Q/w48fdgZS1bZk36Zp+cLjx6VZs3vuzagDkxXbknUZGmiLuMeQmm25M205Tqd6wZUla69hZCCZZU55g2DhaoVuwtt7oJrEuF1vm4sr/qQAjg5cWm7gMu41s2SBdUswCK9HSc9pKf9zjDym83uzVpH/+YZL5atPneq6XHkoEW+gYW5t+nXdGQKXYrOE1xoCSAVkbjA3HtokP/GHDwb+Xq8Gr6yFd2o6qru4EhzwPHViSWbqlcBJfXCGNydyQIoEkDJMy2vatS4cQOq+A56o2Ilp9Wkzf6TRr2tmp+gd7vIAStiiPZDiS9iUUvKhV13SU7aN9sL9/b3KK5Kt4d+153QPIPVy5ehj33mF7Fo32ZcSsl7o76iXtOlR09t+3pOD373vStk8E51ZbDXCteu9mGvW5J9/8EZ/euEea/PzCH/vuTKQZoufgVQmZvaMGYAXydYbotvUxLal5O5O/x+zpEwfN80TKrOEzbxSnxbA3DbbkEeeOSOWclPf9QA9yStfsEvqVVvuiGnev33OP0Yc2T0vP33XRYnPE/aS87bIZ/7zme53FJFj52z0Gg0nefklO+TllyRnAu3fPCUHNk+lznYzKHp/MNcMzgqrv/6k5rLttiPPnVmWdc2abJ6pB/aHjVpFTi8HZ1WanLC9C3B3v2BX7GyC4aBPzbakYrstCFptx/u7XifiVg29iN12Q6rT4+nUkttIOinAk1YmmcWOuaY88syZ9FnYlD7JG+wxXAcWghlI7m03Hd4if/iOa+SBP3hQ/vTBJ6RqW94srdp8l+bxSeJ6ICV5363JzeF1IOq+X/8nObR1RuYn3Z5bu9c15V++FszutlR6CZuIO1vv1tl67rGT3ib0fi2S9THkDCQRt5/dFx4/3lMrg7DL96zL1c+yVrFksdMDqRaTgZTG64G03J9Z2LJeJA9va+brmV+fvnlxpS3zzZrcfelOecWlbrDcVkpa4iQeK/NIusBjShonKaW89xOXJSriBrCPnbNJ5Jxci9WVm5zhlxRrfgZSVZ46uRRbwrbWEEAqoGAWxrR88FsvkHd/7F+92yYqdqCBaPhqyJZOH45vPL8gezb4WRxPn1qUuWYtsLKbTbQdCdVUKxUJJCzmKGET8Uu09Fta7YlVr0GFqm2JbanYAY25I+j1QBnNQApuWjoDKa586po+ZKj0W5aD1nUZlruXIMyR3etyP6YXSVd0210ylIpsooceSCIil2TMcMqjX1ctzUyLuPWp/7OwhTKQcqzDeze5J83nbh3+ifM4aoaCOsEMpO6PN7/KbsHsuJIfvS5UbX8WNkv5xzO3H2Hy85pBCMtyZ2jaPt+Qj3ZK7KLLq+TOI/GBGTMD6fVXnpU7eyJryv//fMMLcj1vnDdevUfueeHZopSSQ1tnvBmvhkGPUWYboQCSFc2CNv/+/JllcZz47K9m1ZYFIwPp6v0bRCklj3V6fiSNG8LXYfT+udIJJOqH6f5IjuNEHpNWwhbWqFXk1FIrtqG3v0yrDCB1+jYeX1hJvI/ePtKa1fbqrqM7Zc9GN9MmNgPJeNsHNk97y1CxVWTSj9wZSJ1XjOt31Qsz8/zfHz/uzWR81obJyOerM0RM4WPV7vWTPfU009tEJSGANIqxkJ4lrh99ZX7kjmjD8DQ123JL2EKzsGWpFNDnKGeM/mgi+cfCcUO4qq28bMWw8LlNNRBAiu4HF5ZbsnFqQh74Vn/SJttSIq34Soy8515x7zb8vGkXX3SAOvwYPRlBr8kE3Sgl8vDTp+XEwnKwB5IxEdOXnjhJBpLQA6mQwoORbzu6Q15+yXbv90gGUmintmXGrWV+9NkzgR5IT55ckrlmNbBhmwGkcAaSktWXsJ2/Y1aaNds7iK/2pLLXMptaxfJmVAkzeyD1OtuE/g4+/eWnpF61og1SlVu/XpbgRJZj3aaZuhzu0tB02KnPWehU8s0z8SUlOvjXj2noh01vv+18cd6BGMTMLXFXEfveRDuSvp/9+acmKvJH77xmaEHQcdcwjm3tthO4Ipil3Ni8T7d9UdzJrj7hD2cg6eNIlpnDTLvWNWXnfFPW9zA73fZ5f93v5UJH0rTug6I/o0++/Wr57A8Mb2Ya3az8+nM3BYIJ+iMzt29zndAXf+KCCo2aLaeXV6TVdqReteRX77lMmlXbm4QkaV8XHm/ocYLORNN/9TOQoj2Q9K9Z+mw0avr53Z8/fddF8r/feU3gPnrd6bWE7bbO8XN/Som5fg+DOMn7iTsvkLd0sr3M3pr6ZDTaQ8q/T/hr6rmErQ/9EUWiF391D6SzN8Rn3fzWmy+XGw9t9n5f7cWTcMDInIXNNIpxnA4gncl5ztEPtYrlzcJmfsZZShfNDCQzyJC3PUbcuUJaZUD4onUloYRNP9/iSjux4iS8qL/+xssyNa3+E6McNe7thlfXtPeTVMKm+5plCU7/8EvPk1dflm+GUUsp+cLjx+Xn/+KhwD5Sf39zzao8d3o5UJ5YvjOF/iCAVEDhDUYpJVfu9cuU6lU7tQdDxbZk62xdHn32dGAH9tSJxU4Qxb+vOQub4wTLQZSKnkwtrOQ7M731/K3y999/fd+uRPVarlIzmhmKBOv3zR5I3/WifT09v97ZPXFiUX7o9vMiy6k/RZ3SOuymhHllPfm/7YJtiYEYkWylcMN233V75d9/+CWJJ3EffvUl8t03Hui5seco1Yya9lEbRNr7TL0qDz9wq4iI3HCuO5Dud6AqkoFUwkDiuDAvGKy02/lL2BKCBXHiZq3yM5CCPZD0cyX1xPjel7h59frquc6d+vCrL5H3335ehiWP2jA54QVLe1klhx1AGpVzt87In33PdfKmq/eEStg6WRYJJWx6Aoy42ZV0E+2VtuMd05o1v4QtaR8RvlWfgFYsS1aMDKQVo4Qt2gMpRwaSMWugiMgdF2+XA6EyQv32V3q8gn7tgY3yf/7Li+XyPcn9reJmRxsMP6tMf7aRmdqMpuEfvPNCuffavd6YJWsfseCr9T6DXVg4o0W3xdLNsMMObpmR77/lXO/31fb/+517r5DXXbE7kBknEj2mjiKApGeK08f5YdIBpPBF9TwZSKeX+t9EOy2LKa2JdlxD9IXlVuQ8RS9jeFmzToage3C5yx0VKWFL2Y50QCy8P9QZplnKY193xVnyoy/Ll32mPXFiITQLm7us6ydrcnJxxZsFXSS+XG8tWBsjipKJOyEyByju7CLuv5N6MOyYb8gjz54JDBKePrUol+wOlqqYs1SIhBuvRVNm82YgZZnxaxiaE7bMt93Bwl+9+1hgMK17IH3gjsNywY7olMRZ6BOFu47ulLsujUa8vel6nXIEkLKe/L/56j3y7VeeJQd/8A/jn6eAJ99ufXXyrm/7XEO+6/pyzFIVVvNK2Ea8IDLY7/4LP3xT35tna+FBWhl7YY2LRqSJdr6+A+axtFswe2oiepyqGr1BvAwkSxklbPGD2PuP7ZP7j+2TD/3pl0TEL0dYTZ8xy1Kyba4uDz99uqegqb6Is2tdM5KVMm70iUxcD6Sk6cn1PjM2A6lqu01x235/kEbN7TckkhzEDh/ndeaKpYI9kHQWtJuBEn6O5PcZt5zh9xWWZ9axJLNdegfp9zCoMpPw61QsSyYqlpxcjH5e+uSu3Xbk7A2T8p6bD8rvf85tJr8uplwxi36N3yL7D8ddl3auayb2SzPHZqvNQLpk13ygfF3PVBk+5I1ivLplti5/997rY5v0D5o7w+JKp4m2ee7VfX3Wx4ozoVnYgjNCdl+GuCbaaRezwtuaOUO1+Sj9FAvLyRlIvX7f5uLFBVUiJWwZ3k9SBlLaGH419HKfWFiJDQBumnaP4Y8/vzCQ1y8TAkgFFLeTMAcoZgZSUg+Gs9ZPyh/92zcC5VkLy+3ADGxhjhOcstK80qot5sxAKor33HzQ+yzCDauv3rdBfuPvvyYX7pgVETcIdMHO2VzPv2fjlPzmmy6XI7vje8nor6jVjh4Uikh/7/pKTBLLUlK3bPnQqy6ODRSSvTFcvTbRHoRBBpDCg6W3Xb9fLt/Tn7Kx1czChv4yrzJGmmj3vYQtenJQ8XqDWKKvOVhKec+bdfbMfm2N2+Ya8vDTp3srYetk4DZr9sgmKBg28ysPl+mE/67NxwQV5hpVef7Msqy02956ZK6bSd9H+GadLV6xLWm1HS8gqlsNOBI9yfKbaHf/zvV+MS24/trLd8tDT56Ue6+JNv3uF72saTO19YN+lxUjQzCphM08JuqT67wZSPe/aJ+87/c+n7v0LYm5T5qoWNJ2HKkoJVXbkh3zDfnq06cjjwmUNA2ofDtp6vRh0/1ch237XF0effZMpIQt6/5eZyyuptFy3GzBad93ONuvktDrLUsGUq8BJNUlSBZe/LQMpENbZ+TOIzvkkl3Bi/p5MpB6oVd1c4IpEf/z1LN3f+P59Ikm1gICSAUUt/GaA5R61fYCSkkR8XO3zshvfeYR+fpzwQPQXLOamEXkhBrGKaWiJWwjqEfuB50OG+fm87fK597/Yi8A8hN3XpB43zRX7E1O6dYfoz6gFD3l0V+/0gNI2m0XRGcNEilmBtI401fLipGBNLzXeteNB/r2XKvpgYT+MgeJkSbaGR5vHje7BQLjSrxqRgmbrvh3m2inH3+9Zezzfl73AOtlvzplNBNeK4InNO6/A020Yz7HuKDC/GRNTi+15PRiy8hA8teXpHUrKQPJtpSstB3RCeA6U9xxnMh63UsJW9o+a3KiIh+888LuT7YKXpBtwGWT4QwkkWgwTy+LeUzUt+XNQHr1Zbvl1Zft7nFp0+lZevU6s3v9ZGwAydz2a33elr0AQvgYWPDxar/tmG/K3z/0TEwT7WxBi2YnY9HsRZm7B1LnsYEStpT9vu795t03cC5n3N55jsWVdmT98cs9cy1qrLinCH8G3TKq/tu3RfdTi52ZwAcVQNKLeGJhJXDBKpyB9JiRgbTGNg8PI+MCip9C0f+3WcKWVIt9aJsbMPnc158P3J7USFpEIjtLFbMsiwUIIP3Ju/qffj/oMjv9mZclA6liBJD68TwYjpqtD6qjjyAVvUwzSaSEjXV4ZMwBu9tE2/9bthI289/dMpCSZ2GzLcs7+TdnQ8q6f+xXQuD2TgCplxK2KW8ii7Uz7DPHL3EfWfjEuGZbsVkzOuPkyZOL3v5gMjDzV7YMJDPI0Wq3vf6LK51IUrsdk0HT+bqyfOM6A2nU+yz9FpoDznTTJ9eVUI8ykzfrnLER6pPrdVP9ySTqh6WVtrQcf/nPXh/fSNtcp/s9A6leb8LbRUkP5T3bPteQE50MFDNLJ+v+vl6zY0rY8i1DKyYDKe3CwY75pnzktUe835PKw2xjnemWgXTz4S35FtoUs9JEeiD1sP7qC9qDKmHT7/3EwnLg+9PbxmYvA4kSNjKQCigu/dgc9NWrtrehJ0XED3ZmMPjXR4MBpMmJikhoSl2lxJshzHztV1y6M1LOsbA8+hK2fZvKN0V2tISt2EfkrFfYuyEDabjWSg+kQUrqC4Dhu/7cTfJ/fUJJzbZkpd1O7CmRZLUZSDrFvmor72TVUv7+POsVaadPAV0dQFrNLGxpfSfGTVwJmym8bc814y+w6bK2J08sxpewJZwHhWdOqxs9ilptEd1hYDmlB5JenizZbPVqMQJIXgnbgDOQzL5WeqySWMLWjp4M9toDqZ9uOHez/P1DT8uJxRVZWGp5/TTP2hDfSNt8f/0uYdPnGeEY81o7BpozXpr7y6z7+3rFlsXlViBomXfM75ewZQ8Y6pnrRELBcyv+OJjYA6nz82dfc0R6Ffduw8et8Ov/3GsukQe/cSL1eRdXBlvCpp1cXAkctfVnM9+sSc225NNffsr7W8FP5wZm7VyKKpG4Gny9nVVt9+qn2QMpznS9KrvWNeXzoQykqm1FNmw91XCjZnsb9O+/7YWyfa7hNdXTdPrgavz0XRfJb7zpslU/T5nogWRpmmgbPZBWo+ileuNGB4DHvQfSIIVPvkZ9MraWbZ1tyFd+7Ba5cOdsoBxAJNugzVwHu909NoCkm8paSiaq/glq1gykfu/+9mx0Tyqn6vlPzP0MpLWzPsc10daU0ctKS+pt42UgnfAzkMwStqTjefg1vdmubDcDSQc1WimzsOnnyLIu6ZOqUZcp6hPFQZ/k6fGFbVl+D6TQJqk/z0A2QefzydsDaRA++vqj8t0vdkuwTy+veN93cgDJ/3e/S9iK1gNpVHaYASS7hwykqiULy+1A0DLvWDjuImC378EMWIerSbznMJYjOQMpx4ImLUvMc4SfN7yfuunwVnnHDentCJYGHEDS+4mToSbaFS+4quQDd5zX8yyW44QAUgHFpdV6TTtDU5VOpDR1O7R1Rp49vRy4rWqryEj6rcf2yfe8+IC84aqzvJ2ON+VtpAfS6jOQ7rh4u1y5N9u0kEmmexhAj5Lembbb0bTUItIHkkHNdIXB0Ae5dgEObmUddIav6vb7Ki/yq1iWtBzHuyqblbmfffrUUup947Il/B5Ifo8Vs4l22vFXJJqBslpHds/L7913pTfhQx6Ta7IHkvnv6PsOBxvmEmYXWzfp3v7M6aXYDKSkGf4iPZAqfgbSStvxmmd7TbQdJ7JMedahLD2QhsErYRtwAEmrWiqwfZpuOX+riAR7VFYtS2xLyUxBxpG69PDMUstb/rPXxweQBlnCljSNe9EvePabzvQUCR7/J7JmIFVtWVhuBYJAeYdDOnhhPqzbxaxgw20Ve3va+pP0/fcibr8V3gfXelh/FwdcwqaHGKeWWtIyJqEyF/WuS3fJp7/vRfKWa/cMZBnKgpFxAU3HDGS9K566CWNnO0wrMdJ9kExxB5y5Zk3e+qL9MlGxvYh0Ujd+nYF02wVb5ZUviE5Xr+1aF1+/3S+fed8N8u8//JKBvkY/6f2xjlr30sNimPT33q8ByosPbe7L8yCdHoh++1Vnj3hJytt4Mxw0LWsgbJxYnRPuvIl1z5zyL6B061lQq1iRAa3fA8k/QVXK359nLvHtUzxXKSUX75rvKbOzVnGzNJKCHePI3HZje0tmzEDSWeGO4weLGllK2EIvWffGb0rajtFEu3OikjYLW5Z1v1GQEjY/yDakJtpGgDe8bVy+Z708/MCtgYlUbEvJfLNWmAxpXRp1arHlnXbvmG/Igc1TkftaAwwg6fOL5VbwQvFaOwaum6wZwVh/e8o6C1u96vZAMmdhy91EO6bfX7fvO9gs25xt0ihhM8Y34Ywqv4l2HwJIMU8RXo96uZjx315xoezbNJX5u8jL3M+eMGZiCwflGzVbrtjjBqX7faGoLIoRfkdA3EHNT5kP1nmnpVSeuzUaQIobWJjTF+uTJ323pAykd954QPZujB7cRET+7YdeMvADTtmmIfZK2ErSRFsfp/qRffFvP/SSVTfjRja1iiUPP3DrqBdDRIofJE0SPsEe9ckY3Asm7bYTGFRnOaG+ev8GObx9Rj7/9ePyjePdm15OTtiydNo/edID9ooVnCbcywjuloGkT/67L+pQTE1U1tT6nFbCJhLdR80l9MSZa9a8XpH6MWaD6KQTrvBYLpCB1HL8JtpeCVt0Fra4Eqwkuqxu1FlmepkHX8Lm/rSN7TPLW6/YyssqKwI9nj2z3PLWmYptya98x2Vy+Y9/KnBfOyEY0A96KvgzS8FWFWW9GNQrpZRsn2/Il5846e7vLSXKcTJnzLglbKtrou0YTbSVuMeQbt93sF+SkYFk3McK3Cf4fvS+rS8BpJjbIiVsPVzMuP3CbXL7hfGzPveDuZc9seBfgIo7bq61zLwwzupKwg4NWJX3e84MpIoViZZOGleJwiVs4QHWQmcWtmqXaWLLFuAZtHAT7aJHrPX61o+Gq5MTFcqA1qCyDjrJQCoe27LcDCRjeJclgFSv2vI7b7lCRETedHX3dPNwb6FqpXMyZ5lNerNPMnDZ2etEROSa/Ru7L+wQTE1URh5cGCZzFxTbRDucgZQQQLItJXOd5saVmOyapM80KQPJ7YHkeE20V4weSGmz5HbTqPoBz1HSL98ccBNtPY5Ka6Id565Ld8o9Lxx9lq5WDwQj/dvj+8j4N/ZSApRGl7mGW1WsoaRFj+6DZCkltnIzULNmrLklbMFJH/Jmu8Ud37qWsJn3NdeNQGaSsf5U4i+WDa4H0upL2AbNLJM/fsbMQEoOIJV0qLtqZCCVRDgDSW93aZkd22brMtuoyvNn/ChqXODH7P0QDiCFLXTqT9fSILQf9MHDb6I9yqXpTqdr9jtFGmtHWQMv4YHeqE/G4B7v2qEStqwzmzVrlcxZeZOhkhs9wK2EeiBlbaJ98a55+dKP3lyY/ejLL9ku24z+HuPOHMfE9kAK3ZbWVHl+sibPnl72y7MmumcgRZtod8Zvyi3J1L3qVlpGD6TQY/RzZ+n/pcvqRt0DSV94nBxSBlLFaKKd5UT9tgsGl8HQi7qxHwn27Yre1/xq+71f0d+XvlDsveYaPEP2Zry0lFQsJVaObapetWVxZXUlbP7F5s467ThdM3YC2UXmLGzG7Wk9kLwMpAH1QAo/bxHPI83d7PGuGUjuz+K9i+EoxqgGEWeHZmDQG56+gpWlhE0pJeduDU55H9cUORhASk9h/Nozp8W2VGKvAMTTn6bfRLvYuxy/hK3Yy4niKmsASdP74LK/j3FQsSxZabcDIaNBTDR4x8Xbvb4GIsEStgkv+9c/scvSVLUowSMRkXfccEBecXTnqBdjaMwMI70Z69L7y/esi2RWzCc00Rbxs5P8DCSzB1JSAClcwub31Go7ZhNtv4RtNT2Qrt6/UV512a7ALFKjoN9DY8ABJG+yF9tsoj3QlxwI83MKBD1jTk0HWcKmM8bOhAJIa/EYuF1nIFluCVuenjv1is5A8m/ruYm28teC7iVs/r/NDKRgZlKWDKTBfN/hz6BIx0bNvDB13Ei+iNsGin4eN2hkIBXUH7z96kD02m/i1knTDWUkJTm0dVb+7qFn/OexrchVjWAPpPipULUvPH5c9m6cpEQtJ73v0b0Ji3481uuXvgJ/03lbRrk4KKEyDzo/8darZMe8OxHAWh8kFIFlKXcwbpxFD6Kv0L3X7pWz1jflbx96WkT8wXbFtqRm+yUyWTOQMFrBHkjuvw9vn5W/e+/1snlmItIXq1sGkojRILrqD5+T9nXhW+tek2tLVlqOtL0m2u4/2u2YJtqdn1l6IG2ba8iPvez8rvcbNP1xhDP6+k1/NpYK9igrG3M8HSy7jN7XXNf6XQI0NeH3YjKV8TNdLX38t5SeRCH7OU9cD6S8H6G5uZu9vtIkBYpUzH5QRKQWLtf3mmjnW9auCxPz2iLFnOU5mIHkl7DFZX95GUhrcPsQIYBUWOEATTjjaKZe7dwv/QBy1ZYga/8AACAASURBVL718ouf/k/v96odvaYxlaOEbWmlLedtyz+F8FoXLWEr9g7HNq7sffFHbi51MADD5TWbLfg6nuaCHXOR28JZoRieiuX2jMnSB2a14nqMmBlIZhNtAkjFpoyvxzyEbZmti0i0B9J8Qg8kESMDyY5m1yT1e4s00a76GUhuDyR3hX7oqVOysNwSR5zIiaa+mFOURuxZ6O3DvDg5EN5n5QQalJdNvWIGkOJP9uP+Xu3z/kf39dIlbNMTFTmxuFL4C56D4JWwdS4Y5MpAqtqy0nZkacXvJdUtsyysbTTR1swgxs+++pLIY8x1wyy5CgSWjOcIZyDpbacf21DcM5jvxbZUIQMv5n7WzECKS6oo60Qx/UIAqSTsUAbS5pkJEem+Al9/7mb56+87Ji/8iT8TkWjKoFL+1K8ibtPPWy/YKhunJxKf87yY5txI52cgtTu/F3vHo9e3im1FDjJAGiXuQbiMA/kkH7//Ktm5rjnqxVizLOWecAf6Hg3ojDpwhb/iNz32pwn3B8Jk4hZbtx5I4duSmmiL+BlI+jnN42LWEra6EeRYarW90rWvPn1a/uYrT0nbiV79z1PCVhR+CdtwMpAcR4weSAN9yYGo1+KnXE96LzoA2e/+fFOhJtq/d/+V8uf/8eSanARl/+Yp2bWuKXs3TYmtVK59vQ42nTKmgc8bLDEvlqjOqEpn7Fy1b73cfP7WyGOSgk1ZeyDpv/UjsBM7m3jCLHFFYvaaO5E1A2ngS1VMBJBKIhxA2jTtXkEzu8QnmQr1ODK368laJbCh7988LR9+VTSybTq0lQBSbjoDqXNBQhX8eOwNktfgwAH9MU4BpAt3RjOSMDy25TYV7aWJdl7mRRk9aAzOwqa8gTAZSMVm7oJiZ2EL7aPmUqZ219O+x520J5awhW42M5B0E+09GybloadOyXOnl90m2qETFZ2tkKWErSj0Wxh0E+3pTia+UirQ5L5sAiVsxu1JJ/K2UtISp+89ZJqh72vfpmnZt2k64d7jbaZelb989zER0SVs+TKQRIKlgD33QPL+5/c1SspgMm8NBGhCmT9aeHyvV7e+zMIWc5t5bE2byXuUzN3sUsvPIEvtgVS+XU5fEEAqiXDKvB7MmDOsJTGvlIUPOL2kGB8iAym30mYgjVEQAMOhZwwZpwASRsu2LFlpOwNvoi0Sf5W0YhmzsFnG8ZgMpEIL9kCK/j3QkNhSMp0y7bwub4ub4Sw5Ayn4u16H3JLMtrTaIrOdxt0nF1c6GUgq9jmyzMJWFMNqov2zr7lEfvefvi57N06Wuom2WcJmLn/SMNGyRKQVLUFarcmU9X8tc0vY8mQgufc9tWgGkPwvc6nVlj978InU54jb3vXxKHG9CDRYj5/ZLy7D1r9fp4StLxlIccvn/7vf5Zf9krSXjZ+FrYQ7mz4q5jeIiHAT7ZmGO+g4niWAZOxIwqmoeQ8Y2+caMpeS5o14+opBWZpomyVsQB561e7HIAQQcTOQ2k44A2lQr+Wvt7qUe/1ULdCk15sVtaCDYLjimmgH/m58fVtm66mlG3rmWfNEQv8z6UQi2gPJnwSl1XZnZZ3rjOVOLKxI24n2QCprCVvFUgPPYN4625D7j+0rfQZS1fYb83dbZ83b+52BREZlvF4zkE4v+RUi4TH/G37pM6nP4ZWwGbOwdcvaCZawxa9H5u2Rlib6/v3ogRQbQIpfjiJJCtTHfSZrvYSNvUVJeLO+dFKgd3ZmCMiSDRSseVWB9Me8s2TQ/6g3er/ZLksTbW8WtmIvJ4rHS4Pm6II+qVhWp4TNmIVtQGfU5r55/+Zp+Zv3vEgu3jVv9EBS3sCRDKRi65bNYY6NfvWey1Kfy5uFzTgmHtjslveYpQ6mSAlbOAPJcaRZq0jNtjoBpLgMJPf3EsWPxFJuOdQwm+TqEtMiNubtRinlB6PjK48CvElO+nwSXsbPbhi2zzVk17rsk2jo7/L0kp+BlL8Hkl/Cph9arUSDjCbz3M4MDpn3Nvd54aCY7tk0XV99JlpcmZ253P0OfvZL3H720rPmY++r389a3W7IVywJ/4qne5Dcua4pf/iOqzPNDBSYtcEKZyDlGwBTvtYbvc9e7MzKUPTyHn8WtmLu5FFcb7jqbPnIXz4U23QQ6IXfRHvwzH1zxVKyecbtN+hljyjjgg5X7AutawaScVu3sZQ3C5uxfrzjhv1y76/9k2ybbXR9fREJzBS20unpZVlKpusVObGwLOI40SbanZ9l6oFkW8qb0WtYdIZgWYcs9aotp5Za2TKQ9AW+Aex/Pvq6o3L2RmYcNf3SGy7NFSTwStgCGUh5A0j+v3UwRo+pkp7K7K1aMQLdSSVs4SDOM6eXRERkw1TyJEpZdctAKm4T7eDvzZot/8+9V8bed43GjTwEkErCa9ppTCV5cEv+YE61YgVW+qmMJWy2peQVR3fKHRdtz/2a8A8ApxZXpFaxCht91/QApVLQnTyK6703H5Tvu+lg4YOkKA+/ibaRgTTA19IqMVdrLaW8gTCzsBWbWXYQOw1zjjMALwPJeM6bDm+Vhx+4NfEx4WfXszNVOrNoOY7776l6xeuBFD5R1b+XKH4kSilp9tBfczXKXMIm4u9LsvRA0uvgIMaRNxza3PfnLLu8F1K9ErbF3pto62OduQ54Mw0mPMa8vZowC5t5TAsHIJ891b8AUhwrEOAq5jlQOFCftj/xMpAGukTFRQCpJOxQBlKvKlYwsTDLVaJ/+P7rpVax6H20CnofdHJxJTLTRRHpfTuzsCEvpZQQd0Q/2V4Jm3/boE6og4Nto3+g5c5gail/f04GUnlkmYUtzUy9IralcvV2S8pA2jg9IY8/tyATFUsspTOQ3B5I4UXySthKFEF66UXb5JvHF4f6mjWjxLSMdHDRHKEnN0t2f3KBr5j0dxnIQMoZQTIDGXo90MGfpHVc365UsNTWlJaB9Oxpt6fuhqnVn+vFLWMpStg6H3ulkyWa9q2VdFfTNwSQSmLDVE3ecu0euf7cTat6nugsbN1XgU2dFH70Tu9MTy6u5O47NQp6R08ZEoBRsy2RljOCErZAGYDbSNUNkFLCVjbxJzT5Hr9jviFznVnTsj0m+Ls+sXzt5WfJL376YTmxuCK2JTI9UZWTC0kZSO7P8oSPRG67YNvQX1MH58qa+OplIBm7lG5NtLnAV0xxGUh5gw26hE13rVXKCCAlPMZs6mxmGmWdhU3bMN2HErbY5St+CZs226jK06eWMqUXrdVAUvHPZCEi7qDivTefu+rnCV9xmxpymvFapT/2U6XJQKKEDUAx6Ayk9hBK2MxBbvh4OVGxxVJGT0JK2EojLrCQN1vlt958eeay/7jn10GOXeubcsdF2+Vj//So2JYlU/WKPPLM6djl1L+WKAFpJHR7h7KWsDWq0SbgSe9kkCVsWL1GX3ogmRlI7kWLbllMOntNKRVYN5KOaUkByOmcs3PHLkvMoiaVhxeJzvTUAaQs31tcw/C1gL3PGjfsRodrlTIDSH3YOQ+a3rlzhQvAqOmMn3Z78LOwhZtom3TJkUUGUun0I7CwdbYh0/XsGUjhcySzh+X9x/aKpdyZTucaVXnu9HKnhC34IH3SWKYm2qOgxypl7b2ng9Hm0qdlIClV3vc67vR2fmZpNT2Q3J/+rLb+cSdpT6Dvq8RdN8zfNbOqIJyB9L0vOUfO3TrTlzLQuKBKYEKngp5b6M92puHu59M+irW+Sy7+mSz6z9gi8lxNQ+/0zvTkYku2zRX/qrVXwkYGEoAR0/uhpdbgR2zmSVkkA6mqA0j69+Lvy+EaxQlL+CTK7GG5Z+OU/Nxrjsi+TVPy8X95TL55YkHq1WZi0KC9xk9WutEn7SVNQPLKG83vP7EHklXcE3CYs7CZAaScGUidDV51/rOV8o5H3YLJ+qWqliVLrXYgcKOfw5xNVLv/2D65/9i+XMvZbRlMZeqBpANIad9bOMi31hTzG8TQbJ2jv9Ew+E20l0tVwlbUnTyAtUNn+iws+wPyYTTRDl+JrdlW4Mp/nQyk0hhFz43wjFrhZXjxeVtkz8Yp2THfEMcReey5hUjdkp91QAQpjc5AKmsJm5eBFFhnEhohK0V2eIHpQPEZo4Qtb1ZPIGCsghlF3Y59KnQB2HxlfexK6n/UL3Hv1g4EkIq5nerg3JzOQBrlwhQc6SdrkN4g7jq6U245vHWky7JW6B36wnK7FGWDlhdAYvcJYLQanaD7qUV/QD6oE+q0shC3B5KSS3bNyw3nbi7sVMSIGsXFELNnSb1iJ55E7lzXFBGRpVY7WsKW8aRxrdPZgGWt6vKaaGcINFiWIju8wKq2m6V6crH3EjYdyFBKvCbaXil3ws5Al1y/+rJdgd/jmmgPen8YtxqbtxX12Kk/2VmvhI3tLEnxz2TRd3p72Dxbzz21JHpjfsyTJWhcrg9UzMIGYNR01uYZIwNpUNKmab/7BTtlaqIixw5ukmMHVzcjKoZr1Nm0Zv+jsB3zDe/fkSband/b1LClKn8GUvYSPDvUJBnFopSSetWW06tooh3u8WcbPZCSVGxL/uNHbpJqZ9yu1xEzCKKDSoPv3xddVvN8s6gXp/0SNjc8ktoDaY1nhRJAAobA7IVQhgwk7yoFJRoARqxRdfeZgQykQZWwpezyXnfFWYN5UQzcaErY/NdMO2HbMlMX21LSakebaOuxw9o+VenO74FUzBPTbrxZ2DIUzViUsBVevWrLM6eWvN/zZyC5P5UodxY2y8rUUH/C6LNmlr2Zt4mMKAPJ+HdxA6D+LGwi5c1oHIaifoMYBnKih8bcmZaqBxJ7TwAjpkvYThtNSQeVkMHMRuNpJE20O6vSwS3T8m1Hdiber2JbsnW2HnhM+DkYrqXTAbrCnpd2Uc9RgmdZqrAZHHA1QhMs5O+B5G/wbt+9/OWsVduKBKRH2QPJVNTqBv3ZeiVsKe9Ef7ZlOKcbhOKnQqAv/t97r5CnTrrR8CxXONBfViCAVPzNTh9kilqnDGDt0AO0U0ZJwKDoEraSJjIgwUh6IHXWodsv2ib3XZc+u9HO+aY8+uyZmB5I2WZeWutqtiW2pQp7YtqNF0DKEEGyLcZmRRcuWc1bwtbypvhyf+SZhU2r2NGzPX18G3wGUvr7LWoAVH+2WTKQDm6ZlnfecEBecemOYSxa4RT/TBZ9cfSsdaNehDXO3wuVoQfSTN3deeqdKACMir6ae3rRnIVtMCfU+gRuqgSBfmQ3yhK2SoaggO6DFL6nn4FEACmNUkp+7jVH5Pzts6NelJ54s7BluC89kIqvXglnIOV7vBk/UuIel3RQJuuuoBJTwmZZboPvQZdAxr1dc1nuuHj7QF+/V/qjncnQRFspJW+/Yf8QlqqYGCGtQYe3z4iIyKFt5TzQllHZMpDO2TItn3jrVaUdjAEYH3ElbIOy0nKHkBtnJgb+WhieUZ5wZ8mK2THvzsQWzlR4+cU75I/+7Rty73V7B7Js4+TGQ5tHvQg9q+fo4aSUkjVaNVMa9UgGUr7HO4ESNjf7yM4ZQKraVuz6ZFtq4P1N01bjLTN1uXzP+oG+fq/0Zzs1UYntIQVf8c9k0XfXn7tZ/urdx7ypYzF45k58siRH/gt2zI16EQBgqLOwbZ6ZkHfdeEBeVtArpOjNaErYdCl49gykcKxptlmV33rzFX1fNhRLI0cPJLeUiTPbIquvugeS/zglbtaZ1wMpY0v9uBI2EXf9mRhBE22tyLOX6cCdpZRMTVQIIKUggLRGETwaLnNQ0ChJAAkAiqBZjQ5VBlXRo5SSt12/dtPSx9VoStjcn1kykPSYrKyziGF1vBK2DF//XKPKelJw4QBS3h5I4T5HlqWMWdiyPUfFsmLXp4plSbUy2PUnLnQ116iJiMirL9s90NdeDf3R6gBS3u9tLSGABAyBuQ+anGCzA4Cs6rXoCXiRr2KieAZdshFH9ZKBxPnKmqRLnrKcsP7EnRcMenGwSqsvYXN/KnHPHyqW8taNrP3QqraKXZ9sSw28B1Jc6lOjZst//vgtg33dVdIfrW0pma5XZGEIWc9lxZksMARmNH6tTvkIAL3QMyy1jEuv9BRGHtURzM7lZyB1P3vcPFN3m95SmrQm5WmivWGK/mxF198MJDcQpGM+WTOQbCu5hG3gs7Al3V7wjB4dnLMtkel6RZZW2iNeouKijT8wBIEMpBI00QaAolBKSTM0ICd+hDxGMm20l4HUfahtW0re9eIDcusFWwe9VCggv4St2CfYyCbaAynf4/XFEqXc/2wzAynjc6Q10a4NvIl2Oddj/dmqTgkb8fxknMkCQ2DuTJsTZCABQB71mi0nFle835nWHHnYI6gNy5OBJCJy33X7Brg0KDI97Ts9V8aD/j61/BlIwd+tHkrYKgkZSJUhlLCVdS32StiUknO3zozkuFEWBJCAITD3QU0ykAAgF0p/sRqjuCLuzcLGSQi60JOrED8aD9EeSEo++rqj8sZf+Wymx+sgkVLSmYVNjABStmWo2PFNtO8/tk/2bJzM9iQ9Kut6rHsrWkrJu286OOKlKTZK2IAhMK8DNKqcCAFAHuH9JvlHKDp91M/SRBtrm99Ee8QLgr6I9kASueHQZrn2wMZMj9c9kJQor4RNJw1lnUCiaqvYwPlrLt8tV+7dkOk5elXWXm4682sELfNKh48IGAI9KGhUbVIiASCnRjgDiQgSCs7PQGKojXS65CnuhP/sDYPNFkH/hTOQ9Pfazpg+tGL0QBJx9yUqbwaSFZ+BNAxlzUASYxY2pKOWBhiGzr5okv5HAJBbuISN+BGKTp9EUcKGbpoTtjRrtsw2qoHb/+F91zPxSgnFZSCJSGAm0TQnF9x+f5O1iihRbgaSF4TKtgwVW42sp1ZZ93hmCRvSsVcChkCnc9L/CADya1SD+06aaKPodMZAllnYsLZNVGz5o3dcI5tmJgK3b5quj2iJsBrRAJK7L1jJGP15/syyiLhTyXuzsOkStozHvqpljS6QU9L4i/5oCSB1x9ksMAT66gONYAEgv3AJG+EjFJ03Cxs9kJDBznXNUS8C+iQSQOoEf9oZA0jHOxlI0/Wq20Q7MAtbtmXYNteQzTOjCUCWtQeS/mhJGu2OABIwBPpKJAEkAMivWfVnKSL5CP3yse+8cmDPTQkbsDbVK/E9kFoZD17HjQwkEXdaeS+AlPHyyVtftE/uvW5Ppvv2W1kTeHSPKnogdUcACRgCy+uBxCYHAHnpDCRbKVlxHIJI6Isju+cH9tw00QbWpqQStswZSJ0A0ky9KkopsSzlBTWy9kByZ24bzUXrsoZfvBI2AkhdcVQDhkBRwgYAPdMBJD2wy3oVFhgVvwcSJyPAWpLYRDvjlY8Ti24J25SRgaTPI8rQ/y9uNsEyoQdSdwSQgCHQO1Nm0wCA/HQJmy4HKsEYGmvc1fs2yHdet1f2bpwa9aIAGKKJUAmbDki02tmfY7Jmi20pr4m2nbMH0iiVPf5il/0NDAFns8AQ6F1RuBEsAKA7s4RNpByDaIzeh191Sear/v02P1mT77vp4EheG8DoLIUiRToe0WpnjyBN16vevy1LGdm3xVf28Avxo+4IIAFD4GUg0QMJAHLTASQGdsjj1gu2jnoRAKwxu9cHZ9TTGUgrWRsYid9Au161pVm1/T5KJbh6UvbjNE20u6OEDRgCix5IANCzZqgHEgAARbRpui4PP3CrnLN5WkT8ANIP3nYo83PoANLP3H2RvO2G/d55RAniR6VHCVt3BJCAIVBCDyQA6FWj0wPJm8qYUTQAoAR0POLYOZvkZ+6+KNNjdAnbedtmZftcw5iFrQzHvnIHYIgfdUcACRgCbxa2CTKQACCvRif47l2FHeGyAACQlZk4W7GynXrrDCT/OcrT/6+sAZiDW9yMsbLPIjcMpEMAQ6AoYQOAnjW9HkjlGUQDAGAGJLL21zGbaIuUK/u2rOGX33zT5fLQU6dGvRilQAAJGIJN03WZrldk38bpUS8KAJSOX8Lm/u6QgwQAKAGrhwDSTDgDqZO4VIYjX1kzeOYna3JksjbqxSgFAkjAEGycnpDPvf8lo14MACglPQubTQYSAKAE9IWOYAlb1gyk+BK2MvRAKmf4CHnQAwkAABRauIQNAIAyMDOQss4kmlzC1r/lGhQO0+OPABIAACg0XcI2UXWHLfs3T41ycQAAyET1JQPJ/dkuQwCJHKSxRwkbAAAoNF3CNt+sya+/8bAc3j474iUCAKC7QAZSxvSccAaS3zup+BEkMpDGHwEkAABQaDXbEttSYimRq/ZtGPXiAACQSpebmUGjir26HkhlKGHD+KOEDQAAFJpSShpVm9R4AECpmBk5WWdhiwSQOo8rQ/yIDKTxRwAJAAAUXqNmM70LAKC07IzRlZlIE233p1OCFCQu9Iw/AkgAAKDwmjWbYSkAoLR6zUDSgadSNNHmQD32CCABAIDCa1RtBqYAgFKIi/VkDSBNTQQDSMrrgVT8CBLH6fFHAAkAABRes2ZnHnwDAFAE5lGrkuEY1qzZUrGDp+j62FeC+BElbGsAs7ABAIDCe/sNBzINvgEAKCIrwzEsXL4mYvRA6vcCDQAZSOOPABIAACi8aw9sHPUiAADQsywXQaZDDbRF/MBTuwQpSMSPxh8lbAAAAAAA9Elcv6IsZdjxGUglKmEjgjT2CCABAAAAANBnZkAlWwApmoHkz8JW3AiS/z6JII07AkgAAAAAAAxQXAApnLEzE5OBpOiBhAIhgAQAAAAAwADZMdEVK3TbvdfujdzHCyAVOANJI340/gggAQAAAADQJ8fO2SQiInPNmndbxYqeeocDLoe3z0buox/30ou2928B+0y/D0UK0thjFjYAAAAAAPrkPTcflHuuPls2TE14t8XEjzKVfNmWkv/zX14skxN2H5dwMAgfjT8CSAAAAAAA9EnFtmTrbCN4W1wGklKSpbvRbDPaXLuISEAaf5SwAQAAAAAwQLFNtEewHIOgS9fU2LwjJCGABAAAAADAAMUFkMJNtMtuzN4OYhBAAgAAAABggGLiRwRcUDoEkAAAAAAAGCClVCQLadziRwTExh8BJAAAAAAABiwcQBqXEjb9LtSYvB8kI4AEAAAAAMCA2eEAy5jFW8bs7SDGqgJISql1Sqk/Vkp9qfNzPuF+Nyml/kMp9WWl1HuM29+vlPq6UupfOv/dsprlAQAAAACgiCqUsKHkVpuB9B4R+ZTjOPtF5FOd3wOUUraIfFhEbhaRQyLySqXUIeMu/7fjOBd1/vvkKpcHAAAAAIDCse1QAGlMIi76baixC4khbLUBpJeKyC93/v3LInJHzH1eICJfdhznIcdxlkTktzqPAwAAAABgTQiXsI1J/Mgzbu8HUasNIG12HOdxEZHOz00x99kuIo8Yvz/auU17q1LqX5VSv5hUAgcAAAAAQJmNaxNtbbzeDeJ0DSAppf5EKfX5mP+yZhHFrUdO5+fPisheEblIRB4XkZ9MWY43K6U+q5T67JNPPpnxpQEAAAAAGL1wAGlcAi5e6dq4vCEkqnS7g+M4NyT9TSn1TaXUVsdxHldKbRWRJ2Lu9qiI7DR+3yEij3We+5vGc/2CiPyvlOX4iIh8RETk6NGjTtL9AAAAAAAomkgAacwCLvRAGn+rLWH7hIi8vvPv14vIx2Pu8xkR2a+UOlspVRORuzuPk07QSXuZiHx+lcsDAAAAAEDhRANI4xVwGbO3gxhdM5C6eEBEfkcpdY+IfE1Evk1ERCm1TUQ+6jjOLY7jrCil3ioifyQitoj8ouM4/9Z5/AeVUheJW9L2sIi8ZZXLAwAAAABA4aSVsN1+4bbhLkw/UcG2ZqwqgOQ4ztMicn3M7Y+JyC3G758UkU/G3O+1q3l9AAAAAADKIGkWttsv3CY/+YoLR7BE/TVuGVWIWm0JGwAAAAAA6CJpFrZ1kzWp2uU/NSd8NP7Kv5YCAAAAAFBwFXs8Z2HTSEAafwSQAAAAAAAYsGgJ23hEXMbjXSALAkgAAAAAAAxYdBa24M+y8t4HoaSxRwAJAAAAAIABSwogjY1xez+IIIAEAAAAAMCAJTXRLjudeTQmbwcpCCABAAAAADBgkQwk7+d4RF7G410gDQEkAAAAAAAGzLaCp9/j0kRbG7f3gygCSAAAAAAADFhl7JtoY9wRQAIAAAAAYMDCPY8IuKBsCCABAAAAADBg4QykcWmirTmjXgAMHAEkAAAAAAAGLNJEe0xKv8q+/MiOABIAAAAAAAMWnYWN0AvKhQASAAAAAAADlpiBVPI40ttv2C8iIvUK4YVxVxn1AgAAAAAAMO6iAaSSR4463nzNXnnzNXtHvRgYAkKEAAAAAAAMWLiJ9niEj7CWEEACAAAAAGDArPAsbJ2z8XHJRML4I4AEAAAAAMCARTOQCByhXAggAQAAAAAwYFYo00jHkwgjoSwIIAEAAAAAMGDhDKTST7+GNYcAEgAAAAAAAxaZhW1EywH0igASAAAAAAADFg4geb8SSUJJEEACAAAAAGDAIk20KWFDyRBAAgAAAABgwKyEEjZmY0NZEEACAAAAAGDAwhlI4VnZgKIjgAQAAAAAwICFM5BIPELZEEACAAAAAGDAIj2Q9E8CSSgJAkgAAAAAAAxYuGSNEjaUDQEkAAAAAAAGLDoL24gWBOgRASQAAAAAAAbMtoOn3zoDiTgSyoIAEgAAAAAAA2YrMpBQbgSQAAAAAAAYsHAJm0YgCWVBAAkAAAAAgAGzLJpoo9wIIAEAAAAAMGA00UbZEUACAAAAAGDAwhlIyvtJJAnlQAAJAAAAAIABC2cgUcKGsiGABAAAAADAgNkJJWzEkVAWBJAAAAAAABgwW4UDSESOUC4EkAAAAAAAGDDbju+BBJQFASQAAAAAAAYsmoHU+TmCZQF6QQAJAAAAAIABo4k2yo4AEgAAAAAAA2YlNNGmizbKggASAAAAAAADFs5AUhSvoWQIIAEAAAAAMGB2UgYSkw1vTwAAD1dJREFUUBIEkAAAAAAAGLBoAMn9nTgSyoIAEgAAAAAAAxYOIFlEjlAyBJAAAAAAABiwSAaS/kkgCSVBAAkAAAAAgAGLNNEmcoSSIYAEAAAAAMCATVTswO/Ej1A2BJAAAAAAABiwneua8jN3X+T9rkQFfgJFRwAJAAAAAIAheOlF271/k4GEsiGABAAAAADAkOmWSASSUBYEkAAAAAAAGDJK11A2BJAAAAAAABgyi7NxlAyrLAAAAAAAQ6eM/wPFRwAJAAAAAIAho/cRyoYAEgAAAAAAQ2YRQELJEEACAAAAAGDIdBNtMpFQFgSQAAAAAAAYEp15ROAIZUMACQAAAACAIVGdyJGlVOB3oOgIIAEAAAAAMCSEi1BWBJAAAAAAABgSRQkbSooAEgAAAAAAQ+I1zyYXCSVDAAkAAAAAgGEhAwklRQAJAAAAAIAh0XEjZmND2RBAAgAAAABgSPweSESOUC4EkAAAAAAAGBJL6R5IQLkQQAIAAAAAYEh04EgpmmmjXAggAQAAAAAwJF7giLgRSoYAEgAAAAAAQ0ITbZQVASQAAAAAAIZFB44oXUPJEEACAAAAAGBI/B5II10MIDcCSAAAAAAADInfA4nZ2FAuBJAAAAAAABgS5ZWwAeVCAAkAAAAAgCGxQrOwUcqGsiCABAAAAADAkPizsBE5QrkQQAIAAAAAYEgoYUNZEUACAAAAAGBoVOg3QkkoBwJIAAAAAAAMCZVrKCsCSAAAAAAADEk4fkRACWVBAAkAAAAAgCEhYISyIoAEAAAAAMCQ0PMIZUUACQAAAACAIbE68SNntIsB5EYACQAAAACAIVHUsKGkCCABAAAAAAAgFQEkAAAAAACGJJyAREYSyoIAEgAAAAAAQ0K8CGVFAAkAAAAAgCGxOhEkp9NFm3gSyoIAEgAAAAAAQ3L+9lkREZmcsEe8JEA+lVEvAAAAAAAAa8V/vfNCueeFZ8sjz54Z9aIAuZCBBAAAAADAkDRqtly8a94rXaMnEsqCABIAAAAAAENG4AhlQwAJAAAAAIAhU50cJOJIKAsCSAAAAAAADBkZSCgbAkgAAAAAAAwZ8SOUzaoCSEqpdUqpP1ZKfanzcz7hfr+olHpCKfX5Xh4PAAAAAMA40RlIilQklMRqM5DeIyKfchxnv4h8qvN7nF8SkZtW8XgAAAAAAMYIgSOUy2oDSC8VkV/u/PuXReSOuDs5jvOXIvJMr48HAAAAAGCc+BlIo10OIKvVBpA2O47zuIhI5+emIT8eAAAAAIDSIW6Esql0u4NS6k9EZEvMn97X/8VJXY43i8ibRUR27do1zJcGAAAAAKCv6H2EsukaQHIc54akvymlvqmU2uo4zuNKqa0i8kTO18/8eMdxPiIiHxEROXr0qJPzdQAAAAAAKAwV+gkU3WpL2D4hIq/v/Pv1IvLxIT8eAAAAAIDSIQEJZbPaANIDInKjUupLInJj53dRSm1TSn1S30kp9Zsi8rcico5S6lGl1D1pjwcAAAAAYJx5ASQiSSiJriVsaRzHeVpEro+5/TERucX4/ZV5Hg8AAAAAwDhTFK+hZFabgQQAAAAAAPIifoSSIYAEAAAAAMCQ0UQbZUMACQAAAACAIVP0PkLJEEACAAAAAGDICB+hbAggAQAAAAAwZDoBiUQklAUBJAAAAAAAhoxZ2FA2BJAAAAAAABgyLwOJQBJKggASAAAAAABDRtgIZUMACQAAAACAYSOChJIhgAQAAAAAwJDp0jWaaKMsCCABAAAAADBkBI5QNgSQAAAAAAAYMhX6CRQdASQAAAAAAIZMkYKEkiGABAAAAADAkBE/QtkQQAIAAAAAYMi8EjYCSSgJAkgAAAAAAAwZgSOUDQEkAAAAAACGTnX+TyQJ5UAACQAAAACAISMDCWVDAAkAAAAAgCEjfoSyIYAEAAAAAMCQKZ2CRCQJJUEACQAAAACAISNuhLIhgAQAAAAAwJCRgISyIYAEAAAAAMCQMfsayoYAEgAAAAAAQ8YsbCgbAkgAAAAAAIyIIpKEkiCABAAAAADAkBE3QtkQQAIAAAAAYMh0DyTiSCgLAkgAAAAAAABIRQAJAAAAAIAho4QNZUMACQAAAACAIdMBJAJJKAsCSAAAAAAADJmi+xFKhgASAAAAAABDRuYRyoYAEgAAAAAAQ6bjRwSSUBYEkAAAAAAAGDICRygbAkgAAAAAAAyd6vyfSBLKgQASAAAAAABDRgYSyoYAEgAAAAAAQ7ZttiFX7l0vh7fPjHpRgEwqo14AAAAAAADWmkbNlt940+WjXgwgMzKQAAAAAAAAkIo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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "SP500_daily_returns.plot(figsize=(20,10), title=\"Daily Returns of SP500\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "Sp500_cumulative_returns.plot(figsize=(20,10), title=\"Cumulative Returns of SP500\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(core_portfolio_returns)\n",
+    "plt.plot(SP500_daily_returns)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(core_cumulative_returns)\n",
+    "plt.plot(Sp500_cumulative_returns)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.013021605893950699\n",
+      "0.0008521218194888947\n",
+      "SP500    0.01216\n",
+      "dtype: float64\n",
+      "SP500    0.000471\n",
+      "dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "#calculate Std Dev of Portfolio\n",
+    "\n",
+    "print(core_portfolio_returns.std())\n",
+    "print(core_portfolio_returns.mean())\n",
+    "\n",
+    "print(SP500_daily_returns.std())\n",
+    "print(SP500_daily_returns.mean())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.0388130801041227"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sharpe_ratios = (core_portfolio_returns.mean() * 252) / (core_portfolio_returns.std() * np.sqrt(252))\n",
+    "sharpe_ratios"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>PPG</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>106.26</td>\n",
+       "      <td>53.94</td>\n",
+       "      <td>162.83</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>103.37</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>107.32</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>163.10</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>104.62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>106.95</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>163.45</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>105.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>105.74</td>\n",
+       "      <td>54.25</td>\n",
+       "      <td>162.19</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>105.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>105.41</td>\n",
+       "      <td>53.69</td>\n",
+       "      <td>162.39</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>106.46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>254.82</td>\n",
+       "      <td>207.82</td>\n",
+       "      <td>342.58</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>120.25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>256.82</td>\n",
+       "      <td>209.44</td>\n",
+       "      <td>349.62</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>121.74</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>261.79</td>\n",
+       "      <td>207.26</td>\n",
+       "      <td>352.14</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>120.33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>261.90</td>\n",
+       "      <td>210.33</td>\n",
+       "      <td>355.00</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>122.08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>266.63</td>\n",
+       "      <td>212.46</td>\n",
+       "      <td>358.46</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>121.78</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  SP500       ORCL          SQ        NVDA        BABA  \\\n",
+       "2015-11-19  2081.239990  36.108597   13.070000   30.458263   77.870003   \n",
+       "2015-11-20  2089.169922  36.404728   12.850000   30.722525   79.949997   \n",
+       "2015-11-23  2086.590088  36.219639   12.120000   30.262524   81.309998   \n",
+       "2015-11-24  2089.139893  36.515770   12.020000   30.507206   80.860001   \n",
+       "2015-11-25  2088.870117  36.330700   11.900000   30.468054   81.709999   \n",
+       "...                 ...        ...         ...         ...         ...   \n",
+       "2020-09-25  3298.459961  59.799999  157.720001  514.950012  271.089996   \n",
+       "2020-09-28  3351.600098  59.580002  160.759995  521.400024  276.010010   \n",
+       "2020-09-29  3335.469971  59.470001  164.809998  529.030029  276.929993   \n",
+       "2020-09-30  3363.000000  59.700001  162.550003  541.219971  293.980011   \n",
+       "2020-10-01  3380.800049  59.680000  168.490005  544.580017  290.049988   \n",
+       "\n",
+       "                  PFE        NFLX         CRM     AMT      FB    MSFT    COST  \\\n",
+       "2015-11-19  27.049994  120.220001   80.639999   99.63  106.26   53.94  162.83   \n",
+       "2015-11-20  26.957846  123.839996   80.989998  100.49  107.32   54.19  163.10   \n",
+       "2015-11-23  26.245783  125.029999   80.779999   99.94  106.95   54.19  163.45   \n",
+       "2015-11-24  26.781923  123.309998   80.389999   99.26  105.74   54.25  162.19   \n",
+       "2015-11-25  27.535873  124.160004   80.410004   99.09  105.41   53.69  162.39   \n",
+       "...               ...         ...         ...     ...     ...     ...     ...   \n",
+       "2020-09-25  36.049999  482.880005  242.740005  239.81  254.82  207.82  342.58   \n",
+       "2020-09-28  36.389999  490.649994  246.669998  240.00  256.82  209.44  349.62   \n",
+       "2020-09-29  36.169998  493.480011  247.449997  240.12  261.79  207.26  352.14   \n",
+       "2020-09-30  36.700001  500.029999  251.320007  241.73  261.90  210.33  355.00   \n",
+       "2020-10-01  36.369999  527.510010  253.449997  242.15  266.63  212.46  358.46   \n",
+       "\n",
+       "               BLK    TROW     UNH     PPG  \n",
+       "2015-11-19  359.09   76.38  110.63  103.37  \n",
+       "2015-11-20  362.46   76.37  112.97  104.62  \n",
+       "2015-11-23  363.25   76.15  112.16  105.47  \n",
+       "2015-11-24  356.81   75.62  113.19  105.49  \n",
+       "2015-11-25  360.62   76.01  114.41  106.46  \n",
+       "...            ...     ...     ...     ...  \n",
+       "2020-09-25  547.81  125.22  302.50  120.25  \n",
+       "2020-09-28  558.65  128.55  303.23  121.74  \n",
+       "2020-09-29  554.80  127.49  304.15  120.33  \n",
+       "2020-09-30  563.55  128.22  311.77  122.08  \n",
+       "2020-10-01  567.91  128.04  313.07  121.78  \n",
+       "\n",
+       "[1225 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "portfolio_5yrs = combined_portfolio_df.drop(columns=['MCD', 'VZ', 'JNJ', 'CLX', 'WMT', 'NEE', 'GD', 'MMM', 'ACN', 'UPS', 'HD', 'SBUX', 'PSX'])\n",
+    "portfolio_5yrs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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AI/Btd8UzgG8BTwBhOE2s1chaRERERERERLpUVkkNYUEBJLZY8SwsWKVnndGZVc82AjPbGL/hMPs8ADzQxvgaYMoRzlFEREREREREpNOyiqtJiwvDKWhyhAUFUFXf2Iuz6h+OqEeRiIiIiIiIiEhfl1lczbD48FZjqbFhZBZV99KM+g8FikRERERERERkwMgtq2VHXgWTUqJbjY9NimJ/WS2VdcoqOhwFikRERERERERkwFi4JgufhS+dkNZqfMzgSAB25Vf2xrT6DQWKRERERERERGRA8Pksz6/J4qQxgxg+KKLVe+OSogBIzy3vjan1GwoUiYiIiIiIiMiAsCyjkOySGq6ZM+yQ94bHhxMZEsiW/QoUHY4CRSIiIiIiIiIyIDy3OpO48CDOnZx0yHsej2FiclSbgaJdBZWUVtf3xBT7PAWKRERERERERKTfK6ys4/2teXxxVhohgQFtbjM5JYZtB8pZkp7PiJ++SVZxNY1eH2f9/iOufOSzHp5x3xTY2xMQERERERER6eustby56QBnT0wiNKjtIIT0Dq/Pctt/17Ihq4wGr+WauYeWnTWZnBJNdb2X372TDsDnmSUMiw8HYGd+JV6fJcBjemTefZUyikREREREREQO0uD18bt30vnmU2t4blUmS7cX8J1n1vHbt9N7e2oC5JXXcsfCDeSU1vCLRZt5d0seueW1LBg1yL+6WVsmp8QAkJ5bAYC1sGxnof/9wzW6/vGLG7h30ZYuuoK+SxlFIiIiIiIiIgdZvaeYh5fuAuDdLXkEBzp5Fh/vLOjNaYnrw/R8Fq7NZuHa7FbjXzoh7bD7jU2KJDjAQ73XB0Bdo5d3t+YSGRJIZV0jGfmV/mBSS16f5Z3NuVwwJbnrLqKPUkaRiIiIiIiIyEE2ZJcB8POLJvLoDScw0l1qPau4Gp/P9ubUjnt1jV62uxlBZ4xP5Jmb55H+q/P58zUzuHxm6mH3DQrwMH5IlP/njdllbM4p59bTRhHgMWTkV7a539b95ZTXNnLimEFddyF9lDKKRERERERERFqw1vLRjnyGDwrnG6eMAuC8yUP478p93PXKZvIr6hgSE9rLszw+rcss4UcLN7CroAqAf39trv+9S2ccPkjUZHJKNJtynEDgc6uzALhkeiovf57DzrxDA0U+n2X5Lqc8bfaI+GOaf3+gQJGIiIiIiIgIcKCshv2lNWTkV7JidzF3Xzyp1fupsWEAZJdUK1DUC/62JIMH39tOaDsrmnXW5NQYcANEXp9lUnI0wwaFM3xQOJnF1Yds/+B72/n70l0Eegwpx8F9V6BIREREREREBDj79x9RVe8lMSqEE4bH8fWTRrR6Py3OWR0ru6SG2SMO3V+61zMrM5k4JJo/XD2d8//0yVEfZ3JKdKufL5gyBHDu7+eZpYds/3e3V1Wjz2LMwF8RTT2KREREREREZMBaubuIPYVVHW6XV15LVb0XgIKKOn5+0cRDggJpcc0ZRdKz8itqySmt4YpZqYxPiup4h8OYOCQaj3trF4waxDVzhwGQGhdGWU0DFbUN/m1rG7z+1wcHmAYqZRSJiIiIiIjIgHSgrIYv/3MFABdNSyE6NJCaei9/uHrGIdvuatHE+NIZKcwcFnfINqFBASREhpBdUtN9k5Y2rXczfWYOi8UYw9+uncWw+PCjOlZYcABfP2kks0fEcX6LVcyaSgtzSmuYMCQIgLX7SgD4yfkTuGr24VdUGygUKBIREREREZEB6fUN+/FZuG7eMF5dl+PPGLr/8imEB7d+HG4K/jx83SxOG5/Y7jHT4sIUKOoF67NKCfQY/9L1F007tmXqf35Q/ymAoW7gKSO/krX7SpiUHM3yjEICPYYbFwwnIuT4CKEcH1cpIiIiIiIix511maWMGBTOA5dP5ScXTGDhmmx+9cZW9hRW+QMOTbJLa/AYOGtiEsGB7XdpSYsLY8v+8u6euhxkfVYpE5OjCQ06tkbWhzMlJZpBEcG8seEA72zJBWDG0FhmDI09boJEoB5FIiIiIiIiMkDtyKtgnNvPJjo0iBNHDwJgd8GhPYuyS6pJig49bJAInD42OSU1+Hy26ycsbSqtrmfNvhLmdPPS9IEBHr4wPYX3tub6xzZml/q/N8cLBYpERERERERkwNlbWMXeomrGJkX6x0YmROAxTgDpYPtLa0hxe9QcTlpcOPVeHwWVdV06X2nf86uzqG/0ccWs1G4/12UzU2kZA/RZ2uxXNZApUCQiIiIiIiIDynOrMjn9waV4fZapqbH+8dCgAKamxrBidxEAK3YX8dgnuwFnpbOk6JAOj62Vz3pWQUUdD32YwenjE5mSGtPxDsdoeloMIxMiWo0N7sT3YiBRoEhEREREREQGhB15FTz2yW5+83Y6AFfPHsp5k5NabXPSmATWZZby5Gd7ueYfK7j/zW2AE5BIjOw4IDDUHyhSQ+uuVFBRx49f3EBVXWOr8f97N53aRi93t9F8ujsYY/jy3KGtxjrzvRhIFCgSERERERGRAeG2/37O/W9uo6ymgfe+fyq/+9I0jDGttjl5TAKNPss9r23xj5VW11Ne20hiVMcBgdRYZ2UsBYq61v1vbuWFNdks2Z7vH8sqruaFNdl87aSRjE6MPMzeXevmU0Zx6YwU/89xEcE9du6+QIEiERERERER6ZdySmv4ZGeB/+cit2/Q7WeO8TexPtis4XGEuA2rAzxOEGlHXiVApwJFYcEBJEQGq/Ssi2XkO/egut4LQE29lx8u3ADAF6altLtfdzDGkBQdCkBceBBBAcdX6OT4uloREREREREZMO5/Yys3PbGGukYvJVX1lFQ38MNzxvGDc8e3u09oUABzRzqrZ80Z4TQp3p7rLHffmUARQGpsmDKKutC6zBK27Hfuwf5S53NduDaLVXuKAVo1JO8pUSGBAMSEBfX4uXubAkUiIiIiIiLSLzR6fazLLKHR66OyrpEP0/Op9/q4d9EWZv7qfQBOHJPQ4XFOcreZ5a5m9frGAwAMjQvv1DzS4sLJUaCoS1hr+fVb20iKDiEk0MOB0lqstRwoq/VvExoU0OPzigoN7LVz9zYFikRERERERKRf+PGLG7n8759y69NrWbwtj7pGHwDPrsrybzNjaGx7u/tdMj2FsycO5uxJTqPrVXuKOX/yEMa2U652sLS4MLJLa/C1XEd9APP6LNtzK7rl2Mszili9t4RvnzGGCUOi2F9Ww18WZ/Dw0l0AvHLbid1y3o40eJ17e/r4wb1y/t4U2NsTEBERERERETmc0up6Fm3Yz8vrcggO9PDBtnw+2JZPUnQI09NimZQSzfS0WGoavP6+Q4eTEhvGY1+ZQ0lVPQAhgR7uumhip+eTFhdGfaOPwso6Bru9bAayx5ft4Tdvb2P5T88kOSasS45ZXd/IU5/t4/WN+0mOCeXqOUNZl1nKh+n5/pIzgJlu1ldPu3xWKqU19fzPmWN75fy9SYEiERERERER6ZN8PstXn1jNxzuchtUJkcEs+dHpfOvpz1mWUch184Zz+1lH/yAfExZEamwY188fztD4zpWdAf5Gx3nlx0eg6KXPs/FZ2JxT3mWBopc+z+E3b6cD8KvLphASGMCs4XG8si6H0KDeL35KiAzhjvMm9PY0eoUCRSIiIiIiItInbcop4+MdBXx57lBOHz+YcUlRRIUG8dC1M1m4Jpvr5g87puN7PIZPfnwGnk5kIbUU6favqapvPKbz9wfbDpST7padpR8o5xy3XO9YFZQ39yC6anYaAPPdJuPfOm0Ma/YVc+LojvtNSddToEhERERERET6pA+25eEx8OPzJhAXEewfjw0P5uZTR3XJOY40SAQQEew8SlcfB4GiV9fnEOAxxIUHsymnrMuOu6uwivDgAD74wWmEBDoNo8cmRfHm7SczYUh0p0oIpXsoUCQiIiIiIiJ9zuacMv76YQZzR8a3ChL1BREhTmCjqs7byzPpXj6fZdH6/Zw2LpGEyGDe3ZKH12e7JIizK7+S+aMGkRLbupRtckrMMR9bjk3vF/6JiIiIiIiItPD6hv1c/NdlAJzbRaVOXSn8OMkoyimt4UBZLWdNHMxJYxIoq2lg24HyYzrmxzsKqGv0klNaw7Aj6AslPUcZRSIiIiIiItJnlNc2cN8bW5kwJIqfnD+BE8cM6u0pHaKp9GygZxRV1DqBsEERwcRHhABQVtNwxMfZnlvBUyv28tUTR3Dj46u4+ZSRVNQ2+puCS9+iQJGIiIiIiIj0CaXV9fzghQ0UVtbxr6/MZlpabG9PqU1hwU7p2UDPKKqodYJCkSFBBAU45Wb1Xt8RH+dvSzJYtGE/y3YWAvDEp3sBSI5RoKgvUqBIRERERERE+oSHPszgw/R8vnbSiD4bJAIIDvQQHOChqn5gZxRV1jmBsKjQQH9foobGIwsUldc28O6WXAD2FlU7x/BaAIYoUNQnqUeRiIiIiIiIdDtrLS9/nk1xVX2722w9UE5aXBj3XDypB2d2dMJDAqiuG9gZRU2BosjQQIIDnfBBU5Cns97edIC6g4JLs4fHATBEpWd9kgJFIiIiIiIi0u0+zyzlBy9s4DvPfI7X1xxs+GBrHlv2O8uu78irZMGoQRjT95dGjwgOHPAZReVuj6KokECCA5zwQb33yK75pc9zGJUQ4f85ONDDnRdO4PzJQ0iNCzvMntJbVHomIiIiIiIi3e6lz7MxBj7dVcQTn+7lppNHUtfo5ZtPr8Vj4Junjqawso5xSVG9PdVOCQ8OGPA9iiqbAkWhQTS4wb2Gxs5nFGUVV7NqTzF3nDee51ZnMnZwFH+8egYxYUGccEN8t8xZjp0CRSIiIiIiItKt0nPLeX51Fl+eO4ys4moe+nAnV88ZSnZJNV6fZVhCBA8tySDQYzhv8pDenm6nhIcEtlr1zOezPL1yH1eeMNTf7Lq/q6xrIMBjCA3ydNjM+qnP9pIWF84ZEwb7x17+PAdj4LKZqXz7jDE9MWXpAgoUiYiIiIiISJdZl1nC55mllNU0cMn0ZEYnRnL3q5uJDg3kjnPHs6+4msv+tpz/fLqXYfHhAPzt2lls2V+GBYYNCu/dC+ikuPAg9hVVY63FGMPi9HzueW0LuwuquPeSyb09vWNWVdfI35bswmPAGOMvPWtwA0X3vb6VhKhgbjt9DGXVDdz92hYA9v72Iv8x3ti4n7kj4kmNVYlZf6JAkYiIiIiIiHSJRq+P6x5bSbXbu+e5VZn88NxxrN5bwu++OJW4iGDiIoI5a8Jg/vHxbuaNjMcYGJUYwaSU6F6e/ZG5YMoQfvLSJjZklzFjaKy/DK2wsq6XZ9Y1FqfnA9DUTqq5mbUTKHp8+R5nPKC59XF4i0yqvYVV7Myv7BeNyaU1NbMWERERERGRLrGroIrqei+/vWIqj1w/i/yKOn7y0iZmDYvlyhOG+re79fTRlNU08N7WPL6yYAShQf2vVGv2CKfHzr6iKgB/A257ZIuC9VllNQ0ABHqc6wpqambd6MO2uMj739zG79/bATgBvybvb80D4JxJST0yX+k6ChSJiIiIiIhIl9iQXQrArOFxnD0xiWlpMQD85oppeDzNK5nNGBrrf33DguE9O8kuEuJm2NQ1OBk2TZfnGyCRotyyGgA2/OJcoDlgVO+11DQ4GWNTUp0ssKAAw7yR8f7m1wAfbMtjwpAohsb3j1JCaabSMxERERERETkq9Y0+bnx8JeHBzvLpi9PzGBwVwqiECAIDPCy8dQGFlfWH9KgJalGu1HLp9P6kKQuqrtFLVV0j//h4NzCQAkV1pMSEEhHihA2a+hQ1eH0UV9UDcMn0FMpqGvjp+RP5dFchGfmV/v13FVRxzqTBbR5b+jYFikREREREROSI1Tf6eGrFPlbsLiYmLIiymgYumDKEuy+eRKAbCAoJDGi3kfGr3z6J0up6f8lWf9MUKKpt8PH+1jw2ZpcBA6f0LLe8hiExoa3GggM9NDQ2B4pGJUTyyY/PBGBjTilFVfU8vmwPNy4YTlFVHYlRoYccV/o+BYpERERERESk06y1PPzRLv7v3e1YC6eMTeCfN85mfVYpc0bEE+DpXOCnZflZf+QvPWv0klde6x/3DZBAUWZxNdPTWt+joABDfYuMoriIYP970aFBANz3xlYumpaMtTA4KoUw6mEAACAASURBVKTnJixdRj2KREREREREpNPufm0z//vOdjzGcPKYBB64bCqhQQHMHzWo00GigSAowEOAx1Db4COvvHmlMzsAUooqahvIKq5hwpCoVuNBB5WexbcIFEWGNOeh5LufhwJF/ZMyikRERERERKRT6hq9PLsqiy/OSuPBK6f127KxrhIS6HEyiipaZhT1/0DR9twKACYmR7caDwrwUN9oeXX9fmLDg0huUZrW8quQ734eiQoU9UsKFImIiIiIiEinbMgqw+uznDou4bgPEoHTp6i2wUdBi4yixn5ee1ZQUcev39pGgMcwJTWm1XshgR4+2pFPYWU9P79oor9PE+DPMgLIKq4GYHC0ehT1Ryo9ExERERERkcOy1rIkPZ+rHv0MgNGJkb08o76hrYyi6npvL87o2FTVNXL535ez9UA5f/3yTJIOCvQEeIx/FbsbFgxv9d6XTkjzv35rcy5DokNJVqCoX1KgSERERERERA7r38v38rUnVvt/HtlPl7Tvak0ZRS2bWffXQFF+eS2Tf/Eu2SU1PHzdCVw4NfmQbfaX1gBw62mjCAkMaPVeWlw4f7hqOgCr9hRzzqQkPMdRz6qBRKVnIiIiIiIiXei9LbkUV9Vz/pQhxIYHd7xDH7dsZyEPvLWN2PAgbj9zLKlxYUSE6FESnIyigoo6aht8/rGa+sZenNHRW7uvxP/61HGJbW5T5QbBxiVFtfl+08pnAOdMSurC2UlP6vC32xgTCnwMhLjbv2it/YUxJh54HhgB7AWustaWuPvcCdwEeIHbrbXvuuMnAE8AYcBbwHftQGgJLyIiIiIixw2vz1JaXY/XZ0mMCvH36rHW8rNXNvHsqiwA7lm0hX/eOJvT2nno7g/qG3187/n1jE6M4OXbTmq1spVASFAAmW4/niaVdf0zUFRQ6fRZeuT6WR2uXpcSG9bmeHSYEyiKCglk/qhBXTtB6TGdKT2rA8601k4HZgDnG2PmAz8FFltrxwKL3Z8xxkwCrgEmA+cDfzfGNOWkPQzcAox1/5zfhdciIiIiIiLS7a5+9DNOuP8D5v56Ma+sy/GPb8wu8weJbjl1FEPjwrjv9S3dOpec0hoeX7aH0up6rLXsK6oit6y24x07oaK2gQ+25VFYWcedF0xUkKgNIYEectxyrCbFVfX4+mFD67zyWgI8hnMnDelw2yExbfceigp1viOnTxhMcKA63fRXHf6muxk/le6PQe4fC1wKnO6O/wdYCvzEHX/OWlsH7DHGZABzjTF7gWhr7WcAxpgngcuAt7voWkRERERERLrV7oJK1uwr4YpZqWzMLuMfH+/millOE9/3tub6t7tkegqx4UH87zvbqahtIKpFSU5XuuuVTSzdXsDfl+5ieloMi9PzCQsK4LM7zzyqsjdrLY0+y/tb87jtv58DMCohglPGJnT11AeElqt+NfFZKKmuZ1Bk/1oaPq+8jsFRIZ3qKxQU0HYQKDUujMSoEK5s0dha+p9OhfiMMQHGmPVAPvC+tXYlkGStPQDg/newu3kqkNVi92x3LNV9ffB4W+e7xRizxhizpqCg4EiuR0REREREpEtYa/nJixv5w3vbqXb7zjy8dBcBHsMd543nmjlDSc+t4Bv/WU2D18fqPSVEhQby9ZNGMjE5mlEJzspgewqrumV++RW1LN1ewPmTh5AQGczi9HzS4sKoafDy8NJdLEnPp9Hr6/hArlfX5TDyzrcYe9fbfO/59f7xP18zk8B2AgPHu5AWWTP3XzaFM8Y7ZYaFlfXt7dJn5ZXXHrLK2cF+eM44rpjZ5mM84PQoWn3X2e32OJL+oVO5g9ZaLzDDGBMLvGKMmXKYzdsKP9rDjLd1vn8A/wCYPXt2/8vZExERERGRfi+3vJbn1zj/Br5kewG/v2o6C9dmc8upo0iOCWP2iHgAPtiWz2e7itiQXcp184ZzzxcmATBmsLMy2K6CSqalxXb5/NZnlgJw86kjmZIaw5L0Ak4fn8jZf/iIRz/ezaMf7+aKWancdeHETmW33P/mVv/r+kYfd14wgdCgAKamxXT53AeKpoyiqJBArp8/nNGJkSzZXkBhZR3jabvhc19UU+9l6/5yFow+fF+h/zlrbA/NSHrTERWZWmtLjTFLcXoL5Rljkq21B4wxyTjZRuBkCg1tsVsasN8dT2tjXEREREREpM/ZlF0GwLfPGM2jH+3m3D9+DMC1c4cBMDkl2r/t159YTaPPctbEwf6xYfERBHgMuwu6LqOoqq6RP76/g+ySGlbuKSLQY5icEkNIYADnT3F6y7z13VM4UFrLeX/6mJc/z2HZzkKW//RM3tmcyzmTktoslwKnnCgmLIhpaTGcPTGJr5w4osvmPVA1ZRQNjnYCcYlRTrlfodsYur/478p9FFXVc+OCEb09FekDOswfNMYkuplEGGPCgLOBdGAR8BV3s68Ar7mvFwHXGGNCjDEjcZpWr3LL0yqMMfONsyzAjS32ERERERER6VNW7C4mwGP4zhlj+fM1MwnwGL44K40RCU6mUFCAhx33X8DckfGMGRzJi7cu4KQxzb18ggM9DIsP79JA0X9X7uOxZXvYmV9BQmQI3zxt1CGBn+jQIMYPac5mya+o46b/rOF/nl3H4m35Bx+Sp1fs46+Ld3KgrJabTxnJUzfNU5CokxLcTK34iOBWP/eH0rOSqnpufnINmUXVPPLRLk4aM4i5I+N7e1rSB3QmoygZ+I+7cpkHeMFa+4Yx5jPgBWPMTUAmcCWAtXaLMeYFYCvQCHzbLV0D+BbwBBCG08RajaxFRERERKTPySqu5umV+7h4WjJhwQFcNC2Zk8ckEB3W+hEqONDD87fMx/m38EONSohgV0Flm+8djT2F1cRHBLP4h6d3uO2YwZFk5Dvn/niH0/v14KXcvT7Lfa9vpd7tZTQ2qf+US/UFk9yssopap4dVdGgQxkBZdd8PFC3asJ/3t+bx/tY8AB45e1wvz0j6is6serYRmNnGeBFwVjv7PAA80Mb4GuBw/Y1ERERERER6TH5FLf9dkclXTxxBXETzKmH3v7mVQI/hzgsm+sdiwtteuay9IBHAqMQIlmUU4vPZTq0m1ZGc0hpSY8M6te3Cby6grKaB37+/g5GDwnlyxT6yS6rZnFPG4KgQBkeHcqCshnqvjx+eM46JydGcMWFwxwcWv0nJTmCtuMoJDHk8hsiQQMrdwFFfVVhZxxOf7vX/fMrYBH/PLZEj6lEkIiIiIiLSHeoavXyaUcSBslqGxDjlO2dOSOr2876wOos/L97JQ0syuHR6Cr+8dDLrs0p5d0sed5w3niExh18FqiNjk6Koa/Sxp6iK0YmRxzzf/aU1jOnkceIigomLCOavX3b+3f/D7flkl9Tw1X+vItDj4Zmb57G/tBaA2SPiO2xkLIcamRDJ2RMH8/WTR/rHokODKK9t6MVZdeyuVza1Wo3vx+dN6MXZSF+jQJGIiIiIiPSaRq+Pv3yYwSMf7aK+0Sl/igoNpLKukV9fPpUvu42ju0tT/6CrZg/l2VWZTEqJ5vUN+xk+KJybWjz8H60ZQ53VzjZklTI6MZLskmpe33CAW08bddhMpLZYa8kpqeG0o1x6fGhcOBuySv39c656dAXXznXWIRqREH5UxzzeBXgMj31lTquxqNBAfylaTyqraeCOhRv41WVTOlzmPres1v/6oWtnamU7aaXDZtYiIiIiIj2ppt7LHQs38Ngnu/H6bG9PR7rRMyszGXPX2/xl8U7mjIjzB2YqahsJCwrgzpc38ZHbW6e77Myv5JSxCfzmiqkMighmxe4iNmSXcfWcoe2uDnYkRidGEhEcwPosZyn7u1/dzO/eSWdzTjmNXh819d4OjuCUNdU1eimqqqemwUtaXOdKzw6WFB3KfjdAcP38YRRW1vHPT/YQFRpIUtSxZU5Js+iwIMprej6j6N3Nuby3NY/fvZPuH7PW8ucPdvKjhRu4/42t/r9TW/7VevG0lJ6eqvRxChSJiIiISJ+yck8RC9dmc/+b2/jqv1dR5C4zvaugki8+/Clj73qL7z+/vpdnKV3htfU5/tc/OGccPzy3uZnuvV+YDMC6zJJuO39RZR3b8yoY7zZwHjM4kg/cVcFOGXN0WTsHC/AYJiRHsyOvAoDAAOcRbH12Kd94cg0T73kHgNLqem7410pm3/8+t/13LT73SX7ZzkLmPPAB1/xjBdsOlAP4V107UoNa9GA6bZzTi6imwcvcEfFd0j9JHNG9lFEUGeoUDLXMFsouqeGPH+zgjY37eWzZHvYUOs3Nc8tr2zyGCChQJCIiIiLdbPG2PN7adKDT22/KLgPgrgsnsnJPMWf/4SO+//x6LvnrMrbnVtDgtby9+QDWKtuovyuprmdScjRP3zSPE4bHEx4cyMRkZxWpqWkxxEcEU1BR123n/+/KTBq8Pq5xy6/GuQGj5JhQJrurWXWF0YkRZOQ7JW4RwU6W0ic7Cli6vTlb6sW12Xyys5DCynre2pRLsbtq1kc78vH6LOsyS/nec06AdOSgowsUJUSF+F+PHdzc52iOlkTvUr3Vo6iyzglOtQwUFbiB9uvmDQegqLKeitoGCirqSIoO4c/XzOjxeUrfpx5FIiIiItKtbvrPGgA2//I8IkMO/b+f1lpeWZdDbHgQJ45O4K3NuYxMiODmU0cxZ2Q8l/1tOa+sy2HeyHj+ePUM3t+axy8WbSGvvO6YGw1Lz3h46S4+3lFAYlQIFbUNjE2KYndBJRn5lXzr9NGcPDbBv+3CWxfwyY4CJgyJIjEypFsDRZtzyhiVEMGYwU6A6JZTR7E9r4Lr5g3r0gybMYMjeWFNNmXVDRS5q2Mt2Z7vf7++0cdzq7Na7VNR20hCZAjZJTWMTozg6yeP5K5XNhPoMUddetYyo6jl786k5K4LiolTetYbGUVN5W4lbpAR8P/+TBjSvDpbU1+u+y6dwnmTh/TwLKU/UKBIRERERLrNi2uz/a+n/OJd5o2M58wJg7np5JH+EpxVe4r5wQsbADhzwmC2HSjngcunAE4j4FtPG43X5+OuiyY5x0l1Hmo3ZJcyJEYPOX3VgbIa0g9UMGdkPP/4eBcBHsP6rFJqGrws2V7AuKRILpiazBdnpbXaLzIkkAumJgOQGBVCfjcGijLyK/1ZRABD48N54ZsLuvw8Taud7SqspKiynqHxYWQV1/jf/2hHARn5la32aXrozy6pIS0unOvmDaem3suugir/786RGhTZnFHUsv9SUxBBuobTzLoBa+0RNyw/Fk3BqZa5ls2BIufvzcKqemobnb5YoxOPLjNNBj4FikRERESkW+zIq+DOlzcSFhTAN04ZSW2Dl+UZRfzm7XQCAzzcdPJIvD7LQ0syAJiaGsOH6fmkxoZxbYuVrn56Qetlm6ekxhAeHMBHOwo4d1JSjz6ISefc+fImnl2VCUBSdAgl1Q387xencdWcobyyLpuRCZH+1cAOZ3BUSKslvI9VTmkNmUXVPPzRLhaMGsS+4moumpbcZcdvjz9QlF9JcVU9p45LID68gg1umeVjn+wmIjiAp78xj9fW7+eJT/f6H/qzS6qZ5q5I9Y1TRh3TPBJbBIoAjAFrnYCcdJ3o0CB8FqrqvW1mUXaXpnK36rrmBukFFXUYA2OTnO9gcWU9+eU+AjyGYfEKFEnbFCgSERERkS7n81nuemUTESGBLP7Baf5MBmst1/9rJY98tIvr5w/j2ZWZfLKzkC/OSuPuiyfylX+v7jD4ExIYwEljEnhmZSYvrsnmqjlp/OrSKQoY9RElVfUsXJPFRVOTWbG7iLxyJ6PhxDGDALh8Ztrhdm8lMcopPXt+dSYjEyKZewy9dJ76bC93v7bF//PHOwqICg3klLFd07T6cNLiwggO8LBow35yy2sZFBnClbNj/YGilXuKuXRGCjOHxREaFMATn+6lvLaB9NxySqobGD6oa5aubwoI3XraaAAW/+A08ivq9LvTxaLcptIvrskiJTaMc3ugvMtayy63pKze66Ou0UtIYAAFlXXEhwcTGhRAdGggxVV1FFbWMzQujOBAtSyWtumbISIiIr2ipKqeF9Zk+Vf2kYHlpc+zWb23hJ9dMLFVuYsxhm+eOpqCijpueXItv39/B1NSo3nwymnEhgfz2rdP4ttnjOnw+PdcPIm7LpzInJFxPL0i85CyHek9f168k0af5dtnjOHMCc7KWm/efjJpcUce7LhkRgr1Xh8/eWkTVz36GQAbsko5748fU1JV38HezZ5esY+7X9vC5JRoQgI9fO2kESz50elsuOfcYwo+dVZggIcRCeF8srMQgKtnD+XSGSmtegaNcBtUNwUZlmUUcv6fPgHghOFdM8ew4AA23XsuPz5vPACjEiOZP2pQlxxbmkWHBQFw7+tbueWptV16bJ/P8qs3tpKRX9Fq/D+f7uXjHc3N0SvdjLQDpTUkRTv9qBIiQyisqmdXQSWjEiMRaY8CRSIiItIrXvo8mx+/uJHHl+/p7alIF7LWsjG7lOdXZzE6MYIrZx+aPXLK2ATOm5zE8oxCTh6TwJ+unnnEGQ1D48O5+dRR3HKqkxlRVtPzKwxJaw1eHzf8ayVPfLqXr580kkkp0dx7yWTe+J+TmZwSc1THnJwSw7fPGN3qHH/6YAfb8yp4b2su+RW1fNTi4bg9j3y0izkj4njltpPY8ItzuefiSYxMiOjRJeHHuKuMzRkRx4iECKJCg3jsK7P976fEOg/zTUGGF1o0t56aenSfX1uiQoN69LqPR03Bvu5QUFnHv5bt4T+f7ms1/vTKzFY/V9Q28qOFG1iyvcCfkRYfEUxhRR17i6oYlaCyM2mfSs9ERESkV+wtclLk//ed7Zw4OoFJXbgUtXSf3LJafv3WNhaMHsQ1c4a2CvDUNnj533e2+4N/Ny4Y3mYAyBjDQ9fOoqbBS3Ro0DHNJzLEachbVe/tYEvpKtZa9hVVM+KgB813t+Tyyc5Czp442N9XKiIkkCnHGOT44Tnj8RjDXz/MICO/kgA3yPHxzkKWpBfwzpZcXrntRGYOi2tz/9oGLzmlNXzphLReLbVp6lM0OLp5tbGWAYUhMc5KZpHBgRgDjT7L2ROT+PpJI1Qi1M8c699rh1Ph9iFanlHoHyutrmfvQb28Kmob/YsJDHez1eIjgnlvax4A49TAXA5Df+OIiIhIr9hXVM3IhAhiwoO4740tHe8gPaau0Ut1/aFLO9c2ePnZK5tYtGE/d768iQ+2NS/v/WlGIaf/31IeX76HCUOiGJUQweUzU9s9R1CAp0sepsKDnQftqrqeX4r6ePXkZ/s4/cGlbHL767QcHxofxqM3zO7SwIbHY7jM/S5tyilje55TcvPmxgMs3eF8B1/6PLvd/fcUVmEtvV5q0/Sw7vU2l9tGhjT/DqS4y9V7PIbIkEA8Bn7xhUmcOCahZycqx6wpK6yr1TZ4KahwSi53F1aRU+qsnPfe1jwafZZnb57Pv782B4CdLUrTQtzfx6Yy4LCgAM6fohUjpX0KFImIiEiP25xTxtp9JUxKieb8yUPYsr8ca9WrqK+49am1TP7FuzR6ff6xfUVVXPrQcj5Mz+dnF04gLCiAZTsL8Posi7flcdermwkJ8vDMzfN4+7un8OGPTm83w6MrNa0opEBRz1mc7gRnDpQ1L++enlvOqj3F3DB/uD/jpyuNHBRBRHAA72/NI6u4hjvOG8/E5GhqG5zv6L6i6nb33VXg9K/q7aXAk91A0JCY5oyiiJDmJepT48KaX8eGceHUZIbGd00Ta+lZ3VV6Nu3e9/jyP1f4f17u9rx6e9MB0uLCmD8q3r+y3Qfb8vzbnTXR6RXW1BNrWlpMt2Y9Sf+n0jMRERHpUUvS8/naE6sBmJ4WQ6DHQ0VtI0VV9SREaonmvmDJdqfnyztbcrl4WgoAv307nf2lNfzn63M5bVwiS9ILWLmnmH8t282v30oH4I9XT+fE0T2b/RAe7DxoV6v0rNs1eH08uyrT3zC3pqH5M3/qs32EBHq4avbQbjm3x2OYnBLD+27ZzNkTkzh3UhJffPhTquq9ZBW3Hyhas7eE0CCPv0dQbzlx9CAevHI6F7TI5IgIDmRYfDgXT0v2Z8cBPHfLfEKDAto6jPQD3RUoqm8RvA/wGJZlFHLx9GSWZRTy1RNHYIzxB8/f2pTLuKRIFn3nZP93Kd4NFMWFBx96cJEWlFEkIiIiPaaqrpGfv7qZ0CAPf79uFl8/aSQj3X/l//fyPa0yWKR3NPW/AFjm/mt1ZV0jH6bnc8WsVE4b5ywlfsHUIaTnVviDRABzR/b86kkR7kNRpTKKutWBshqufvQz7mmxvHxhpVMCY61l8bZ8zp6YRGw3PoA29TqKCQtiXFIkY5OiWHfPudx8yij2FlXzyrq2y88+3VXInBHxhAT2buDFGMOXTkjzf2fBCYB9dMfp/Pj8Ca22jXWXM5f+KSQwwF/u1V3mj4pneUYh+4qqafBapqXFAhAfGUyAxzB/VDwLv3liq+9RU0loZDc225aBQYEiERER6TG/f28HOaU1PH3TPC6cmkxggIdxSU5Dzb8t2cU/P9EKaL0ht6zW3wh16/5y//iyjEJq6r1877l11DX6uHh6iv+9G+YP575LJ7cqM0ppUVLTU0ICPQR4TJs9lTqrrtFLXaMykg7n9mfXsT23gj9ePZ1o9yGzuKqOzTll3PzkWnLLa5k/qnuXmZ+a5jS8jwgO8DdJD/AYJiY7f4d8//kNrNxd1GqfspoGduRVMm9k987tWBzpin/SP7TsU9QdpdXnTEyiqKre/51PiXVKF6NDg1j8g9N46qZ5xIS3Li9r+vs6NTYMkcNRoEhERER6xOacMp74dA/Xzx/G7BHND22psWG8/d1TAMguab98RLpHaXU983+zmNMfXEqD18fbm3MJDvDwf1+aRnZJDRf+5RM+2JZPoMdwQoueQ8YYblwwgve+fyo/Onccd104sVceeI0xhAcHUFXnBHryK2q58+VNnVoyvcn1j61k1n3v4/WpT1Zb7li4gdV7S7jtjDFcPjON9fecS2JUCEWV9fxo4QZ/L5QFo7s3o2xSspNRNGxQ6749X5iWwsJbFzAyIYLvPLuO/PJa/3tbcpyG21PdbAuRntKy/KyxC/5u8bU4hsc0B4bSc52m1S2DPyMSIggKOPRR/4uz0vjx+eP51umjj3k+MrAp50xERES63acZhVz72EoCPeaQEguAicnRjE6MoLS6oY29pTsszyjk012FHChrfqieed/7VNY1ctHUZK6cPZSskhr+sngnAG/cfjKeNpoUj06M5Dtnju2xebclIjjQ38z64x2F/j46y396Zqf2X723BICPduRz5oSkbptnX/bQhzvZmV/JLy+Z3Kp8rLKukYXuEtuXuBllHo9hUEQwm/eXUVzllJ9FhgQyZnD3Lrc9LimSuy6cyMXTk1uNezyGOSPieeT6E7jsb8v57nPrefaW+QBs3u8GityyNZGe0rJZdF2jr83AzZGobtETzGeby8eeW50FwOCojnv8BQd6uO30Mcc0Dzk+KFAkIiIi3e6fn+wG4LKZqe2utBIXHux/6JTuU1JVzz2LtvD6hv3+sRNHD2JqWgwbs8q4cOoQrpiVBsD3zx6LAcYPiWLCkOhemnHHIkIC/M2sS9zvUGl1579LAR6D12fZur/8iANFBRV1RIUG9rt+Mpuyy/jHJ7tZl1nChCHR/qygNXtLePj6Wf5+J+synSDak1+f22oFrpnDYnl2lfOAeu6kJO69ZHK3z9kYw82njmr3/fFDorj9rLH87p10ckprSI0NY39pLVGhgf4mviI9pWXpWV2D199k+kg1en3Ue31U1jaX1wZ6DFEhzccPDvS0GcgXOVoKFImIiEi32FdUxcNLd3HtvGEcKKslNTaMX106pd3t4yKCD7ty0ZHasr+Mhz7MYFpaLJfPTG21JHV/tnV/OX9fmsGNC0YwY2isvzlpZ/3pgx3+INEzN88jOjSI1Ngw4tp4kDbG8P1zxnXJvLtTREigv5l1sRsgqm7w0uj1EdjBv+I3eH3+krNtbglHZ5XVNHD2Hz7iayeN4Htn9/3PqcnibXnc/OQaIkMCWTB6EO9ucYJEX547jI93FHDNP1aw4mdnER0axCuf5xAc6GHW8LhWx/jNFdP44bnj2VdUxeSUmD4TKDtlbAK/ewdO+u2HbLjnXIqr6v1Lgov0pJalZ7WNR79Qw/1vbuP9rXn89dqZ/rGJydGtGlL/7otTj/r4Im1RoEhERES6xXOrs/x/jIFbTh1FWHD7D5Px4cFszC494vP8+YOd1Hu93HFe65K297fm8fbmXPfPARZ95+QjPnZfsiQ9n5+9sslfKvbGxgMMiw/n5lNH8aVZaYf9bJvsK6rivysz/T/PGBrbaknu/ioqNJByd7W2pkwiayGvoq7Dpq0tyx23HSg/zJaHemZlJmU1DeS2KN/rqzLyK1m0Poc1+0r4dJfT/PaWU0fxnTPHsnR7Pj98YQPfPmM0X5iezLX/XMmavcVMTI7mlfU53HzKqDazIRIiQ0iI7LjcpSdNTG7OfMsoqKSkur7NIKhId2tVetZw9M3y03PLySmt4d5FzSsO3nLqKCJCmv/OP2FY323WLv2TmlmLiIhIt1i1p5jJKdHcfuYYBkUEc+rYxMNuHxsRRElVwxGtDlNUWcfflmbw6rr9h7xXUFFHfEQwd5w3no3ZZeRX9P2H+fb8ZfFOvvbEasKCArjn4kn+FZyCAgx3v7qZax9bQWZRx9lYD763o1WfjIEQJAKIjwhhV34lGfkVrcoXF60/9HtxsBI3sDQ1NYbdBVUUVtZ16pz1jT7+vdxZpa8pm6kvu/vVzTy0JIOymgZi3ZWQTnF/J08fP5i1d59DWlw4s4bFEfz/7N13dFR1+vjx952ZzGTSe0IKqYRACqGD9CIiFgQbrD8R9Cvquuta1oKuq7v2ylpXXQvqKqiLWFBQkSK995ICCSQhJ5kgjQAAIABJREFUpLdJm8zM/f0xySSRAAmEJITndY7nZO7ce+czcZjMfeYpOg0bDxfxw55cVBVmDA7rzKW3iVajsKi+P1F2SRXFlWZ8XCRQJDqeR5OMn9pzyCjKLatBp1HYk23vt/XR7MFc1S+4WemZl2vLJd1CnK3u8elACCGEEF1KTZ2VPdml3Doykvsn9eb+Sb3PeIyPix6z1UalufW9HBZtzcJssZFbVo3ZYmtWhpVfUYu/m4Exsf689FMK69MLmdY/9KyfU2f6rr5UbP6NyfQL82LW8HCsqopeq+HFn1L49+rDjH5pFRnPTTnl5LF9OWV8v/s4fx4fwy2XRJzThUtX4+PiRHmNhSteX4ePq55IP1eKTLW8sPwQigJ3jI465e+lIbB0eWIQe3PK2HSkiCuTgs/4mN/uyiG/oha9TuNopN2VpeWbuHZAKC9d3w+A3LJqenienG3l7KQlMcST3Vll1FpLiA/2IMrfraOXe06SQu2Nq7NLqimpNDfLMhKiozTtUVRzlhlFNptKbmkNNw3tyerUAo4WVRHoYS+jdnZq/Hvnfpb9j7q7uro6srOzqam5cL8oai/Ozs6Ehobi5NS6oKK8ooQQQgjRrlRV5e1V6dRZVUfmS2v4109syS+vwa0VF6YWq43/bjqKXqvBbLWRU1pNpJ+r4/6CiloCPAz07eGBj6ueJTuP4+dmcGRRXChq6qxkFlbyx7HR9AuzNxjWaTWOD3G3j4ri36sPA3DzB1v49LYhLQZFFm09hqtey9zRUbifoqH4hcrH1f7aqbXYyC2r4fKEIF69YRQPLd7D88sOodMo/N+olpsgF5nsgaLRvfx5a2V6qwNFS/fkEuXnip+7gcrasy8r6Qhfbsui0FRLdEDjv6uWgkQNEkM8WbAhE4BHLj95SmFX56LX4euq50hBJcVVZmlkLTqFeztkFBVVmjFbbUT5u3F1cjAv/5RKuK+9qXzT9/lTBcIvdtnZ2bi7uxMREXFR/45UVaWoqIjs7GwiIyNbdYyUngkhhBCiXVisNj7ekMn0f2/g9ZXpAAwMb32gqKGXTE5pdav2X3kon9yyGuaMiADg2O8aYRfUZxRpNAqje/nxW2oBN3+whdS8tjUs7ky1Fiv3f7kLi0095XhvH1c9ax4cC8C69EJ2HGu5z9PenHISQz27XZAIwKe+7CLEy4i7s45QbyNGvZbXbkxmULg3X27LOuWxu7JK0Gs1RPu7MTjSh01His/4ePtyyliTWsDgCB/cmzTS7orS8yt46H97AIjwdT3D3nYNGTkAVyT2OM2eXdeAcG8W78imps6Gt5SeiU7QrEfRWQaKGvqfBXk6MzDch4Vzh+Eq2UOtVlNTg6+v70UdJAJ7INHX17dNmVUSKBJCCCFEu1i45RhPfLefqlor1w8M5d83DcDT2PqgRIi3PVCUXdK6QNGB3HIUBW4eHg7AsaJKx31Wm2oPFHnYM00evaIP0/uHAK3rW9ORbDYVq02lztr8QqKipo7ZH27lx70n+L+RkVza99Rj28N9XVl813AUBZbszD7p/jqrjYO55SQEtxxsutB51QcC+vRwZ/Vfx/JAfamjRqMwOSGI1DwTuWWNr6vskipi/7aMrZnFrDyUz6AIb4x6LcOifEnPN1FQUcuB4+WsTy9s8fGufGMdAPEhHrgadFSau06gKKu4ild/SaXWYs9yaphoFhfkzpBWZvhNTggiwN3AsCgfwnxczttaz6c3Zvbn4clxBHs60y+se77uRdd2SYyvI+h6tqVnFfVN+j26YYC/o1zsQaIGbf09SKBICCGEEO1iw+EiQr2N/HTfaF66vh+XtzETIcjDGa1GIaeFQJGqqtzy4RbGvLSKrZn2jI8TZTX4uhoI8TJi0GkcGUVWm8p9X+zCbLWRHGov1Qpwd+bVG5MZ1cuPb3fntKlhdnvJr6jhrVXp/GXRTr7eYQ/mmC02bnh3I9GP/sik+b85JnYBvL82g80ZRbx6Qz/+dmXfM455Hxjuw5VJwSzdk4u5ybfX2SVV/LjXvm1QhPdpznDhstjsz9fgpMXXzdBsVHt4fRZNQUVjk+p1aYWYLTauf2cjhwsqubG+WfOwKF8Alu8/wZTX13LT+5ub/S5/b0KfQHugqAtlFD39wwFe/zWNt1bZyxGPFVXh52Zg+b2jW12C5aLXseGR8SyYM+R8LvW8cnbSctfYaDbMm8Al0X6dvRxxEQpwd+bl+p5gFuvZ/c1pyFY8Vd++Ub38uKrfmUtlRed65plniI+PJykpieTkZDZv3szYsWPp3bs3/fr1Y8SIEaSkpAAwe/ZsIiMjSU5OJjk5mV27dgH2z0H33HMPMTExJCUlsWPHDsf5ly9fTu/evYmJieH5559vlzVL3poQQgghzpnFamNLRjFjYs++/49OqyHIw7nF0rPiSjNrUgsAuOn9zbx6Qz9OlNcQ5GlAURR6+rhwtH7q1ycbM/lu93E8nHWM7xPQ7DxTk0P461e72Xa0hMERHTdOuM5qY8a7mzhSWIleq+HbXcfZdKQIrUZh29ESADIKK3ngy928f8sg3liZzmu/phHt78r0Aa1vwD29fwjf7z5O7N+W8fN9o/liaxYLNmRital4uzgxLi7gzCe5AA2JtAd4bhkecdJ9DRdYpprGYE5eeWPQ6C8TejE12Z5tlhDsgafRice/2ee4f2tmMSNimgcaDDoNt1wSQYiXETeDtsuUnuWUVrMuzZ4FtT69kPsvjeVYcRU9fU7dj+hUdFoNOu2Z9xNCnJpOY8/iaAhmt1VDtqKroeV/jJ/eNvTsFiY6zMaNG1m6dCk7duzAYDBQWFiI2Wz/Uuizzz5j0KBBvPfeezz44IN89913ALz00ktcd911zc6zbNky0tLSSEtLY/Pmzdx1111s3rwZq9XK3XffzS+//EJoaCiDBw/m6quvpm/fvue0bskoEkIIIcQ5W3Ewn6JKM5clBJ3TeUK8jC1mFDVkC718fT/6hXryp893sjqlgKD66S/hvi4cK66ips7KGyvT6RfmxeoHx2H43ZXuZfH28q3r39nIgvrR5h0hLc/EkcJKXrwuifsujQXgy23ZLNySxTXJwTw3PZGHJvfm10P5LNt3gld/SQXs30i3xahejQGNSfN/44N1Gfi72cvvJvQJPOn30V2EeBnJfP6KFkurGhrKVjQJ5qQXmAB44qq+3Duxl2O7Tqvh8Subf7hecTCv2e1qs5Vai80xYt7VoKOmzobF2rlT5OqsNv70+Q4URWFMrD8pJyqoqbNyrLjqgi0fE+JCp9PYL7f3Hy8/q/IzU32j/NZOAhVdT25uLn5+fhgM9r/Ffn5+BAc3zwIbPXo06enppz3Pt99+y6xZs1AUhWHDhlFaWkpubi5btmwhJiaGqKgo9Ho9M2bM4Ntvvz3ndUugSAghhBDn7Me9ufi56ZlwjhkrId7GFjOKGgJF/UI9+fS2objq7QGPhjHBYT72QNFX27IorjTz6OVxLZbZuDs7ceeYaABHw+22qqy1MPXNdUx/e32rj0nJKwegf5gX4+t/R5cnBDE00od/XpPAzCE9uWN0NH16ePDMDwcdx1XU1rVpbTqthp/uHe24/frM/nx153D6hXnx5/ExbTpXd9FwgfX4N/soq7b/PtPzTYzt7c+cEZEn9W2YFN/YC2pcb39+PZjfrFSxpL48sKFBcsP5K82dN/nMbLFx3xe72HmslOevTWRyQhCmWgtxjy8/aRqgEKLj6LT295f3fjvCF1tP3VT/VBrKWqWB9YVr0qRJZGVlERsbyx//+EfWrFlz0j7ff/89iYmJjtuPPfYYSUlJ3HfffdTW2jNgc3JyCAsLc+wTGhpKTk7OKbefK3nFCSGEEOKc2GwqGw4XMjLG74x9dM4kxMvIifIaNh0pYmC4N0715ztWX1YW5uOCs5OWSfFBLNmZQ3L9uPhwHxeqzFaeX3aI5DCv0zbtfeTyOPRahTdWpWO1qWg1bWvwuDWzmN3ZZQAcKTAR5e92hiPgUG4Feq2GSD9XdFoNh56a3KyPDoBWo/DkVX258b1Njm1PXhXfprUB9A5yd/w8JSEInVbDt3ePaPN5ugu3+oyi/IpaXluRxt+u6MORAhMjon1b3L9p09iJfQNZtWQf6fkmegXaf6+NgSL7fg2BojdXpjHv8j5o2vh6ag8/7T/B0j253D4qkiuTgskrr2Fin0D6BnsQ5efKxNM0QhdCnD+6Ju8HRZXm0+zZsqpaC4oCLvrumQ3akf7x/X4OHC9v13P2DfbgiTP8nXZzc2P79u2sXbuWVatWceONNzr6CN10000YjUYiIiJ44403AHjuuecICgrCbDYzd+5cXnjhBf7+97+32FtRUZRTbj9XEigSQgghxGl9sfUYxZV13DE6CkVp/ACyLbOYaH83/rvpKIUmMxP6nPvFaIi3EatNZcZ7m7h+YCgv1TcCPVpcRaBHY5Pix6/sy01DezIw3N6cuaevvbSm0mzlzjHRZ/yQ5OWiR1WhvLoO71Y2+G2Qnm9y/Lw6paBVgaKDJyroFejmCKT9PkjUYGiUL1ck9eCHPbnMv7Efg86yj9L/7hxOUaX5nAN33UHTkg1TbR05pdXUWmxEB5z6/9vah8Y5gpSPsY9fD+U7AkWlVfaspIZJa5f2DWTFwXz+szaD0bH+jOp19n26zta+nDL0Wg0PXhYH2DPt3r9lUIevQwjRXNP34OqzmI5oqrXiqtfJ5K4LnFarZezYsYwdO5bExEQ+/vhjoLFHUVM9etgHgRgMBubMmcPLL78M2DOFsrIas9Kys7MJDg7GbDa3uP1cSaBICCGEEKf0ycZM/v7tfgBeWH6IQA8DsYHueDg78cPeXHp4OpNbVsO0/iFcmdS2KWctCfFqbLr71fZsR6DI3pC3sc+Kj6seH9fGIEpPn8bSmtONkW/g7WrPBik9i0DR4QIT3i5O6HUa9mSXtuqYQ7nljOzVuslLf7uiD7V1NoZHnf2kprMNMHVHBl3jhZqqNvYnijlNoKhpT58ens7NgoMNWQENpWe+bgbmTYljxcE8ikxtzxhoD3tzyojr4Y5eJ4FBIbqSphmrVWdRnlpZazllI2vRNmfK/DlfUlJS0Gg09Opl74e3a9cuwsPD2bdvX4v75+bm0qNHD1RV5ZtvviEhIQGAq6++mjfffJMZM2awefNmPD096dGjB/7+/qSlpZGRkUFISAiLFi3i888/P+d1S6BICCGEEC3adKSIv3+7n+FRvhSaaskorCQh2JP8ilr25dhLr3LLaugX5sVz0xPb5RvPEO+WpzNlFVeddsR1aP1xQyN9WlVK1pANUlJlJpLW92+pqbOy4XARsYHuuDvr2HGslPXphfQOsgfPSqvMBHg0NqBWVZWPN2SSX1FLnyCPVj1GD0+jZIO0o6avyzqrjez6flc9W9ng2d/dQEFF45S0r7Zl4e3i1Ox47yavp/OloKIWs9XWLJja4HCBidGdkMkkhDg9J23j+0/1WQSKTGaL9Ce6wJlMJv785z9TWlqKTqcjJiaG995776SpZg1uuukmCgoKUFWV5ORk3nnnHQCmTJnCjz/+SExMDC4uLnz00UcA6HQ63nzzTS677DKsViu33nor8fHnHhSTV50QQgghmrFYbXy76zhf78xGp1H4cPZgDDoNNRYrLvrGjw6HTpQz/5dUnpqacMpSqrb6/UWw1aZSZ7VxorzmtBf2zk5afrp3dKsv/hsu7EtPc2F/MLeccF8Xx3P+cW8ua9MKOVpUxT+nJrD/eBkrDuZz0/ubGdXLj+JKM2n5Jn68ZyQxAe4UV5q594td/JZaAMCwqJZ74oiOU2CqJbesBp1Gwa9+GtyZ+LsZyC2rAewBy7VphTxwaSzGJj1DPI32DLWSqrY1H2+LR5fsZV9OGasfHItBp2Xj4SLKquuY0CeA/IpaglsIIAkhOlfTLy6q2zj1rMps4Yc9ucQHt+5LBtE1DRw4kA0bNpy0ffXq1S3uv3Llyha3K4rCW2+91eJ9U6ZMYcqUKWe9xpZIoEgIIYQQDocLTDz69V42ZxQD9oa9DRfETYNEAHFBHrx7c/tmvvw+4FRdZ+XXg3moKvQKPH0voKZNnM/Eq+HCvrKOTzZmYrWpzBkR6bg/v6KGy19by42DwnhmWgJPLT3AxxuPAjCtfwhjYv0ZFuXDwJ7evLX6sCMYBDDv6708NDmOtakFrEsr4J9T47lpaHibm2aL9nesuApfVwOBHs6t/v/h725gT30G3bJ9uQBMTQ5pto9Wo+DhrKPsPGYUHc43kVtWw+LtOfxhaE+eX36I/TllvHvzQFTVXiInhOhanDSN5aBtLT37af8JwP53WYiOJoXMQgghxEVqw+FCskuqHLe3Hy3m8n+t5WBuuWOEfIB75158VtZaeO3XNOKDPbgsPqjdztu0VOj9tRknjS3emlEC2PvZbMksdgSJwN5DCMCg0zI0ypekEE/HfbOGh7M1s4Tr39nI6yvTCfV2YdbwCAkSdbJL6iecZRVXO3prtVZD6dmSndn8sCeXpFBPR/P0prxd9Y6Mon98v59r3lpPXnlNu6zfZlPJLqkG4O3V6VSbrRzMLcdiU7nt420A9JCMIiG6nKZTENtaetbQ8+zl+l59QnQkySgSQgghLkJmi40//GczALeOiOTq5GAWbcnC4KTh1wfG4u9uIDnMi7g2ZOm0l3sm9OKjdRlU1FpYl1bIkYJKXrw2qV2DLe7OOjSKPcPkWHEVPq56FqzPYFxcAOG+rmzJKALspXClTcqJWhprH+bTeIH+yOVx5JRU8+uhfADCWwgoiI73+e3DAJj39R4WbslqU1ClYfrZfV/stp/j8rgW9/Ny0VNSZWb/8TI+Wp8JwK6s0nYJcOZV1GC22hgfF8DKQ/ncs2gnZovNMSEPJKNIiK6uqq5tU8+KK81oNQpXJJ77oAgh2koyioQQQoiL0KET5Y6fP9t8lGveWs9X27MZHxeAv7u9d8vkhCAi/Frf6Lm93H9pLC/fYP8G9ZNNRzE6aZnSDhPVmtJoFLxc9KxLLwTsH8if/P4Ab61KBxonY5XX1HGivj/NrSMiW+zFFObdGAxy0et4/5ZBjKqfcNbZGVmiuSevjmdKYhAT+wS0+pgrk3rQL7Qxa2zKKS7avIxOrE8v5IrX1zm2FZpqW9y3rTIL7Zl/t1wSQYSvC78cyCPSz5Vnr0lkzogIegW4NXsdCiG6nlOVnlXWWlp8ryipMuPtom+XQRFCtJVkFAkhhBAXmVqLlavfXA/AuofHUVZd57i4vX1UVGcuzcG1vh/S7qxSpg8Iwe08TH3xcnHiSEFls22/HszHalMdF+YllWbyKmrQazU8fmWfFs/Tv6c3Nw3tya0j7T2OFEVhzogI1qYVnrGvkuhYBp2Wt28a2KZjovzd+PZPI3nl5xQyCisJO0XD9Il9A6muszIhLoBQbxfu/nxHs2lp52J3dikAfXt48Oy0RP71axqvz+iPp4tTp418FkK0zalKz656cx1HCipZ9dexPL30AK/P7I+rQUdxpRkfV6cOXqUQdhIoEkIIIS4yaXn2bJlIP1dCvIyEeruw9M8jqbVYSWjSb6czNZ0odf3AsPPyGPY+Rc0DRUWVZjYcLuR4mb0fTHGVmbyyGgI8DKf8Vteo1/LMtMRm28bHBfLLfaNPGVQQF54HJvU+7f03Dwvn5mHhjtt/+8ap3TKKtmWWEOHrgr+7AX93A5fE+LXLeYUQHedUU88avrB4/Jt9rEsvZNORIib0CaSkss7RT0+IjialZ0IIIcRF5mCuvezsg1sGOYIfCSGeDAz36cxlNeNqaAwUDYrwPi+P4e1i/6Y21LuxX41Oo/CftRmoKvi5Gcgrq2V1asFZlfX0CnRvsVRNXBz83AwUVpz7FLSdx0pYeSiPsb1bXy4nhOh6zjT1rKLW3sOoIaBUXGXG100CRd1BdnY2U6dOpVevXkRHR/OXv/wFs9nM6tWr8fT0pH///sTFxfHXv/7VcYzJZOKOO+4gOjqa+Ph4Ro8ezebN9t6Sbm7nP1tZAkVCCCHERWDj4SLeXJnG9LfX89qvaTg7aQj37fj+Q63VUHoGjc2E25tX/Te11w4IdWwbEePnGHU/NNIHs9VGmLcL/5gq5T2ibfzcDOeUUVRZa8FmU1lV3xj9gUmx7bU0IUQnMFtsWG3qKe8vrrS/XzT0xSupNEtGUTegqirTp0/nmmuuIS0tjdTUVEwmE4899hgAo0aNYufOnezcuZOlS5eyfr29NcD//d//4ePjQ1paGvv372fBggUUFhZ22Lql9EwIIYS4gJlqLew4WsKWjGKOl1bz4nVJ6H4XWMkqrmLmfzYB0KeHB/7uBibHB3Xpke1NS8/Ol4aMoqRQT7Y8NoH88lp2ZZWypj5Q9OgVfbimfwjjevuf9DsV4kxCvI2sPJSPqqptbka7NbOYG97dSJ8gDzyMOiJ8XXF3ll4lQlzoqsyWU/5bzi21B4hyy2qw2VRKqsz4uEqg6EK3cuVKnJ2dmTNnDgBarZb58+cTGRnJuHHjHPsZjUaSk5PJycnh8OHDbN68mc8++wyNxv75IyoqiqiojusjKYEiIYQQ4gJiqrU4GjuvSS3g9o+3YbbaHPe7GnR4Gp0I9DBQVGkmMcSTjEJ7/4MXrk3khkFhF8QElaYZReeLn5t9ultCiCcB7s4EuDvj727gb9/sw8/NQIiXkZA2jFEXoqkhkT78b3s2qXkmege5t+nYD9fZyx8PnSjHpsKkvoHnaZVCiI5UbbaeMlBkqc82OlFWQ3lNHTYVySjqBvbv38/Agc2HKHh4eNCzZ0/S09Md20pKSkhLS2P06NFs2bKF5ORktNrOK1+XQJEQQgjRRdVZbaxOKWBMrD96nYa1aQXc/MEWpvUPwd1ZxycbjxLl78qTV8UT4evKg//bzaebjrZ4rih/1wsmSATg7GT/Bq3pWPL2duPgMGID3Qn0aBxhH+jhzOAIb+ktJM7Z8ChfADYeLmxToCivvIafD+Qxd3QU43oHcOuCrfQL8zpfyxRCdKAz9SkCKKqspbjS3t9MMora0bJH4MTe9j1nUCJc/vxpdzlVVmnD9rVr15KUlERKSgqPPPIIQUFB7bvGsySBIiGEEKKL+mzTUZ78/gC9A92J6+FORY0FnUZh6Z7j1FlVJsQF8NgVfYjytzc1XHj7MDKLKgn0cCb+iZ8A+2SzO8dEMT4u8IIJEoF9xPwP94w8r1PDvFz0jIs7uUHwf2YNQj11GwkhWiXMx4VQbyMbDhcxe0Rkq49btjcXq01lxuAwovzd2PToBEcWoRDiwnamQFFsoBvVdTZKquyBIm8JFF3w4uPjWbx4cbNt5eXlZGVlER0dzahRo1i6dCmpqamMHDmSadOmER8fz+7du7HZbI7Ss44mf3WEEEKILqak0swvB/L4YH0GQR7OHCuuIiWvAoBB4d68ckM/iirN9A/zahb80WgUR9Cof08vdh4r5Zs/jsDT5cLsbRIffP6yiU7HS1L9RTsZHuXLzwfysNlUNK3sCbb/eDm+rnoi/ezN5j2NF+a/XyHEyRommrXEzWDvR3a0qIriyjoAfOTvUfs5Q+bP+TJhwgQeeeQRPvnkE2bNmoXVauWBBx5g9uzZuLg0fhkWGxvLvHnzeOGFF1i4cCGDBg3iiSee4J///CeKopCWlsaBAweYOnVqh6xbOjMKIYQQnWTFgTzWphWgqiqfbT7KyBdWMvWt9Qx6ZgUPLd6DqsLz1yby6wNjGBZlH11/eWIPwn1dGdDT+7QZQgtmD+GLucMu2CCREN3B8GhfyqrrOJBb3upjDp4op2+wxwWVASiEaJ3q02QURQe44aLXUl1ndUxA83aVv+EXOkVRWLJkCV999RW9evUiNjYWZ2dnnn322ZP2vfPOO/ntt9/IyMjg/fff58SJE8TExJCYmMjtt99OcHAwAFVVVYSGhjr+e/XVV9t93ZJRJIQQQnSCyloL//fJNgBCvIzklFYDoKpw55goLk/oQXyTi8UFc4aQcqKi1b1KPF2cGFrfI0UI0TmGR9v/Df7hP5vY+reJGHSn7321N7uMQ7kV3D664ybbCCE6TpXZcsr7Yvzd0OsUqszWxowiKT3rFsLCwvj+++9P2j527FjGjh3ruG00GsnJyXHc/s9//tPi+Ww2W4vb25MEioQQQohO8PHGTABuHBRGfkUNcUHuvHJDP9ydnVocW+/spJWGtkJcYHp4GokP9mD/8XKOFFTSp4fHKfctrTJz12fbCXA3cPsoCRQJ0R21VHqmKPYviRJCPMgqrqamzkpJlRmDToNRBiuITiKBIiGEEKIDqarKfzcd5cXlKQyP8uXZ6YktBoaEEN3D09ckMO3tDRwvrT5toOjln1PIK6/hyzuGSxaBEN3U4h05GHRaJic0TrbSKgqTEgK5aWg4r/2aiqnWwobDhfi46qUEVXSaM/YoUhQlTFGUVYqiHFQUZb+iKH+p3/6koig5iqLsqv9vSpNj5imKkq4oSoqiKJc12T5QUZS99fe9rsgrXwghxEWkymzh7s938Pi3+xkd68/Htw6RIJEQ3VyIlxGA4/XlpaeSWVhFYogn/Xt6d8SyhBCd4LfUAu7873bHbatNxWJT6R3ogb5JBtG+nHK8pZG16EStySiyAA+oqrpDURR3YLuiKL/U3zdfVdWXm+6sKEpfYAYQDwQDKxRFiVVV1Qr8G5gLbAJ+BCYDy9rnqQghhBBdh6raP/w5aRu/k3ln9WF+3HuCRy6PY+6oqFZPQRJCXLj83Aw4aRVySmtavF9VVVLzTGSVVBHu69rBqxNCdCazxd5rxuBk/6xg1Ddenrs7S/GP6DxnfPWpqpoL5Nb/XKEoykEg5DSHTAUWqapaC2QoipIODFEUJRPwUFV1I4CiKJ8A1yCBIiGEEN3I8dJq1qYVsGDDUdLzK3h+ehJXJPVgdUo+b6xK5/KEIO4cE93ZyxRCdBCNRiHI05ncspMzimp5+9IUAAAgAElEQVTqrPzhP5vYcawUgIRgz45enhCig2g1Clab2mxbrcXes8igqw8UNelJVGs5/w2LhTiVNoUpFUWJAPoDm4ERwJ8URZkFbMOedVSCPYi0qclh2fXb6up//v12IYQQ4oKmqiqv/JzKoq3HKDSZAfBw1lFnVXngq9089cMBSqvqiPZ35cXrkjp5tUKIjhbsaWyx9Gz+L6mOIBGAm0EyCITorlyctFTUNp961hAM0jcEivSNWcjV5pMbXwvRUc7Yo6iBoihuwGLgXlVVy7GXkUUDydgzjl5p2LWFw9XTbG/pseYqirJNUZRtBQUFrV2iEEII0SlWpeTz5qp0Ck1mrkjqwfJ7R7H7iUks/fNI/nVjMiOi/Yjyc+XRKX1wd3bq7OUKITpYiJeR401Kz0y1Fm56fxPv/naEmUPCuCw+EAA3KTURotsy6k+eYOYoPdPZ72uaUVRVZzlpf3FheuaZZ4iPjycpKYnk5GQ2b96M2Wzm3nvvJTo6mpiYGK688kqOHTvW2Ut1aNVfI0VRnLAHiT5TVfVrAFVV85rc/x9gaf3NbCCsyeGhwPH67aEtbD+JqqrvAe8BDBo0qMVgkhBCCHE6eeU15JfXkhDigaIolFXXUVBRQ63Fxi8H8rDZVO6dGNvmPkHVZmuzD3s2m8pLP6XS08eFXx8Y06wnUUKIJwkhnlzTXxJohbiYBXsZOVFeg9WmotUo/HLgBOvTi1AUeOTyPjy99AAgGUVCdGcuLQSKfl961rQy7aXr+nXIusT5tXHjRpYuXcqOHTswGAwUFhZiNpt59NFHqaioIDU1Fa1Wy0cffcTUqVPZvn07Gk2r83nOmzP+NaqfTPYBcFBV1VebbO9R378IYBqwr/7n74DPFUV5FXsz617AFlVVrYqiVCiKMgx76dos4I32eypCCCEuZvtyynj2x4MEeToTE+DG26sOY6q1MDrWnxHRvrz72xGKK83NjlmbXsgXc4c7Ur5VVT3tKNqP1mfw9A8HeWpqAn8Y2hOAH/bmcjC3nH/dmNwsSCSEEA16eDljtankV9TQw9PIrvpysy2PTsTT6OR4D5JAkRDdz1NT49mcUczhgsqT7qupa156VlVfbnZNcjDDonw7bpHivMnNzcXPzw+DwQCAn58fVVVVfPTRR2RkZKDV2gOIc+bM4cMPP2TFihVMmjSpM5cMtC6jaARwM7BXUZRd9dseBWYqipKMvXwsE7gDQFXV/YqifAkcwD4x7e76iWcAdwELACP2JtbSyFoIIUS7+GBdBtuOluDt4sTXO3Jw1Wu5dUQkS3Zm81tqAa56LXFB7gwI9+b+S2N5ZPFeVhzMI7OokvR8E09+tx8VWPXXsS1erNXUWXnppxSsNpVHl+xlb04ZWcVVrEsvpHegO1f1C+74Jy2EuCAEexkBe7P7Hp5GdmeXMSzKB393+4VDQ5BZJiEK0f3cPDyCm4dHMO3t9Y5tNpuKRqNwrLgKsJenAsQHewAwJbFHxy9UnBeTJk3in//8J7GxsUycOJEbb7wRb29vevbsiYeHR7N9Bw0axIEDBy6MQJGqqutoub/Qj6c55hngmRa2bwMS2rJAIYQQ3V+txUp+eS1hPi5tOi41r4Ib3t1ITZ2VmjobNwwK5cXr+lFoqsVmUwnwcObxK/tQVl2HXqfBpcnY2T+Oi2bFwTwO5pbzj+8POLKNMgsrSQjxpNpsxdlJ48gw+i21gCqzlfdnDeLjjZks3NJYR/7Xy3qjlQs8IcQpBNQHhPLLawF7aezIGD/H/br69w+LVaYcCdFd6Zp8Tqi12DDqtaTnm1AUiPZ3A6BPDw8OPTUZZ6eTy9TEuXlhywscKj7UrueM84nj4SEPn3YfNzc3tm/fztq1a1m1ahU33ngj8+bNazGDXVW7TtcdyW8VQgjRqVRV5f4vdrMqJZ9tf5vYLJhzJh+uy6DabOWWSyLwNDrx/4aFA+DnZnDsoygKXi76k44N87YHpR5ZvJfqOivPTEvgsSX7yCmtpneQO33+vtwReKoyW/hofSZ+bgbG9PZnZC8/XlyewhVJQXi76Imq/4AnhBAt8a9/Tyo01aKqKsWVZnxcG9+XdPUZRRZb17lIEEK0L02TwEBNnb3fYVq+iVBvY7PehxIk6n60Wi1jx45l7NixJCYm8u6773L06FEqKipwd3d37Ldjxw6uu+66TlxpIwkUCSGEOG8sVhtf78gh2MtIck+vZiVdn246ireLEzbV3ucHYG1aIaqqkl9Ri6IoHC+t5oFLYx0XUU2tSS1g0dYsbh4WzqNT+rR5bX5u9ou06jor0weEcFl8EI8t2cfx0mqO1PcR+HJbNl9uy3Ycc9/EWJy0Gpy08Per+rb5MYUQFycfVz2KAgUmM9V1VmotNrybBIquGxjKh+syuELKTYTotrS/yygCezlqwxdX4vw6U+bP+ZKSkoJGo6FXr14A7Nq1i969e5OYmMj999/PO++8g1ar5ZNPPsHZ2ZkRI0Z0yjp/TwJFQgghzptFW7P42zf7HLd7BbiRGOpJXJA7z/7YmP7bL9STjMJK7vh0+0nnGBXjx4Bwb37af4K0PBP3TuyFTqth+b5c3A06Hr/y7AI2iqIwJMKHPTmlPHRZHL6uepydNOSUVLP/eJljvwE9vZgUH0S0vxvj4wLO6rGEEBc3nVaDj4ueQlOto8zVp0mmY0yAG6nPXN5ZyxNCdICmgaKaOnsLX7PFhoezXJJ3ZyaTiT//+c+Ulpai0+mIiYnhvffew93dnQcffJDevXtTXV2Nv78/GzduPO1QlY4kr0ohhBDnzacbj9IvzIt7xsfwp893kldew4n9NXy9IwcnrcLEPoEUVNTy0vX9qLPaWLonl0g/F4xOWu787w4A/vD+ZrxcnCitqgPgv5uPotdqyK+oZWKfAMekkLPxyW1D0GkUR8ZSTIAb76/LQK/VYHTSsvuJSThplS7zR1sIceHyczNQUFFLSaX9vaxpRpEQovtr+lmixmIPFNVZbS1mTYvuY+DAgWzYsKHF+15//XVef/11Tpw4weTJk/n000+ZO3duB6+wZRIoEkII0W72Zpfx475cQryMhHobScmr4KHJvZnQJ5BfHxiDp9EJo5OW7JJqbKpKhJ9rs+Pvv9Rep11ltjTbPiLGj4l9Arjvi92UVtVxTXIwiqJw/aDQc1rv7/sAzL8hmTdXpRPk6cz43ucWhBJCiKb83O0ZRUWV9obWPq5OnbwiIURHajrzoqbOXnpWZ7Whl0DRRS8oKIhdu3adeccOJIEiIYQQ7aLWYmXOgi0UmszNtg+L8gUax0MD9PQ9fT2+i17Hh7MHUVtnI8zHhYQQT1RV5b4vdgMw/8bk85Ll0yvQnddm9G/38wohRJi3C8v3n3CUnnm30GRfCNF9aZt8bnnl5xQ+vW0oFpuKk1aylkXXI4EiIYToQmw2FU0XGrNeZ7Xx8YZMymvsGT6uei23XBLBpxuPsnz/Ce6/NJYR9SOeP1yXSaHJzMe3DiHKz5XUvApMtRb6h3md1WOPjwtsdltRFJ6bnoiX0UlKwYQQF5x+YV4s2prF7qxSgGZTz4QQ3V/Tz3dr0woBqLNI6ZnomiRQJIQQXcTOYyVMe3sDi++6hIHh3h3++OU1dZRX1xHg7oxWo7B0z3F+Sy1k8Y7sZvs9t6yxCfX/tmczIsaP99ce4YXlh5iSGMToXn4oikKYT/tP8Zg5pGe7n1MIITpCUqgnAKtSCtBqFDycpfRMiIuJtoUvuepsKk4SKBJdkASKhBCii9hwuAiAa/+9gbUPjTsp0JJfUcPzPx7itlGRxAd7tutj22wqV7y+lqziajQKeBgbm0f3C/Xkm7tHkFlUxY97c3lrVTp3jI5mTWo+J8pqeH7ZId5Zc5gpiUHnrSRMCCEudLGB7jg7aThWXIWfm75LZY8KIc4/t/rpZiFeRo6XVaOqKnVWm5SeiS5JAkVCCNFFlFY19vaZ8Ooa7hwdxb0TY8mvqCW7pIovt2Xx9c4cftibyzXJIcwYEkb/nu2TebQzq5Ss4mrCfIz4uhqI9HNldKwfRicdw6N8URSFSD9X7h4Xw11jotFoFFLzKvhhby4bjxQxc0gYT1+T2Gz0qxBCiEZOWg0JwZ5sO1oi/YmEuAg9fkVfgj2d0es0vPxzKjV1NuosNskoEl2SBIqEEKKTZBVXAfDd7uPszirl5wN5eBqd+OKOYfx79WFeX5nOgdwK1qTmU2dVHcdd3S+YpXuOs2RXDlsenYBXkwuOXw/mUWuxMSWxR5vW8tmmoxh0Gn64Z9QZyyEavgUP9HAGwEmr8OiUPhIkEkKIM0gK9bIHiqQ/kRAXHU8XJ+6f1JsF6zMA+4RXKT3r/hRF4f777+eVV14B4OWXX8ZkMjF27FjmzZvHxo0bHftaLBZCQkLYtWsX8+bNY82aNXh4eFBdXc2wYcN47rnnCAkJcey/ZMkSpk+fzsGDB4mLi2vXdcurUgghOsGXW7OY8OoaRr24ipd+SuFwgQmwTwaLC/LgXzcmMzk+iBUH8/B1NfDRnMEATOwTyEvX9+PNmwZgtthIzzc5zrk6JZ/bPt7GHz/bwS0fbuHJ7/azeHs2KScqSM+v4EiB6aR12Gwq+3LKWLIrh9kjItrUM6NhtHPfHh64S68NIYQ4o35h9rJhH8koEuKi5aK352pUma1SenYRMBgMfP311xQWFjbbPnr0aLKzs8nMzHRsW7FiBQkJCfToYf/C96WXXmL37t2kpKTQv39/xo0bh9ncWIGwcOFCRo4cyaJFi9p93ZJRJIQQHURVVfbllPPJxky+2p5NYognI2L8GB8XwJBIH7ZkFOPvbgDs3z68eH0SA8O9uSw+iJ6+Lux4/FKcnezx/Rh/NwA2ZxQzKMIHi9XGXxbtws9Nz+hYf3YdK2VNasFJa/jn1HhmDY/AalMpqKjlye/2s3z/CdwNOv44JqZNz6ehh9JdY6PP4bcihBAXj36h9imQklEkxMXLxaAFwFRrQVWRjKJuTqfTMXfuXObPn88zzzzj2K7RaLj++uv54osvePjhhwFYtGgRM2fOPOkciqJw3333sWTJEpYtW8bUqVMxmUysX7+eVatWcfXVV/Pkk0+277rb9WxCCCFO6af9edz53+0A3D0umvsv7d2sXGtIpE+z/T2cnbh9dJTjdtNRysFeRgBe+imFtWkF9OnhQVl1HW/M7M9V/YIBSM+v4MXlKcQGuhMT4Mbnm4/x0vIUrkjswQNf7WZ1SmMg6Y4xUXi6tC0r6MqkYBJCPImuD1oJIYQ4vXBfF/qFedE/zKuzlyKE6CQuenugqLzaPjREJxlF3d7dd99NUlISDz30ULPtM2fOZO7cuTz88MPU1tby448/Mn/+/FOeZ8CAARw6dIipU6fyzTffMHnyZGJjY/Hx8WHHjh0MGDCg3dYsgSIhhOggn20+CsCHswcxPi7wnM6l1ShcPzCU1LwKckqr2XSkGINOw4gYP8c+MQHuvDdrkON2T18Xpr+9gRve3cjhgkrH9ocnx3HnmCjaSqtRJEgkhBBtoCgK3949orOXIYToREYn+yV4WX2gSC8ZRR3ixLPPUnvwULue09AnjqBHHz3jfh4eHsyaNYvXX38do9Ho2D548GBMJhMpKSkcPHiQYcOG4e196kE1qtrYs3ThwoXce++9AMyYMYOFCxdKoEgIIS40m48UsTatkAcv633OQaIGL13fz/FzWVUdNRZrs6yj30sO9cLXVc/hgkrundiLaf1DWLonl9tGRspIeyGEEEKIDtCQUdQQKJLSs4vDvffey4ABA5gzZ06z7TNmzGDRokUcPHiwxbKzpnbu3MmECRMoKipi5cqV7Nu3D0VRsFqt9rYVL77Ybp/pJVAkhBDn2apD+fzxsx2E+RiZNTz8vDyGp4sTnpx5WtmDl/WmuMrMXWOiURSFu8e1rS+REEIIIYQ4e66G5oEiKT3rGK3J/DmffHx8uOGGG/jggw+49dZbHdtnzpzJ1KlTKSsr44MPPmjxWFVVeeONN8jNzWXy5Ml89NFHzJo1i3fffdexz5gxY1i3bh2jRo1ql/VK+FIIIc6jQyfKuf2TbUQHuLL4rks6fTrYjCE9+ePYGMkgEkIIIYToBMb6qWflklF00XnggQdOmn7Wt29fXFxcGD9+PK6urs3ue/DBB+nXrx+xsbFs3bqVVatWodfrWbhwIdOmTWu277XXXsvnn3/ebmuVjCIhhDiP/vVLGq4GHf+9bSheMg5ZCCGEEOKi5uL0+9Iz+fKuOzOZTI6fAwMDqaqqOmmf3bt3n7RtwYIFpzzn6tWrT9p2zz33nNX6TkUCRUIIcZaOFVVx68dbGR7ly18m9sLPzUC12cpfFu0k3NeF/j29+enACW4dESlBIiGEEEIIgYfRCaOT1jFYRDKKRFckgSIhhDhLPx84QXq+iWNFVWw6UsTntw9jT3YpPx/IQ1FAVTMw6DRcPyi0s5cqhBBCCCG6AK1GISHEg53HSgDQaSRQJLoeCRQJIcTvZBRWEuzljEGnxWZT0WhaTgnedKSISD9Xnp2WyJwFW7j+nQ24O9u/JVrz4FhS8iqIC/LA393Qwc9ACCGEEEJ0VYkhXmzNtAeK9DopPRNdjwSKhBDd1s/7T2DUaxnVyx+A7UeLcdJqSAr1QlVVMouq8HHR4+libzBdZ7Xx92/3sXBLFuG+LkyIC+TD9RkAjOvtz4gYPwpMtRi0GgZH+rDhcBHT+ocwPNqXBXOG8ND/9pBXXsOdY6IJ8HAmwMO50567EEIIIYTompJCPR0/S+mZ6IokUCSE6HZqLVY0isLcT7cD8O3dI7DYVK7990YABvT0Iq+8lpzSaibEBfDB7MEAfL/7OAu3ZGF00qLTKI4gkYtey/7j5axKKTjpsSb2DQRgWJQvvz00riOenhBCCCGEuIAlNgkUSemZ6IokUCSE6FZKKs2MfnEVFpvq2Db1rfWOn7UahX055YyL8yfE28jGI0VYrDasqsqnm47iotey+sGxeLvo2ZNdSlyQB0YnLSqw41gJ3+zMwWyxMSDcmwPHyxkR7dcJz1IIIYQQQlyoIn1dcTfoqKi1SOmZ6JIkUCSE6FaW7TtBRa2F6f1D2JVVypHCSsJ9XbhnfC8m9glEo4Eqs5VAD2eW7jnOnz7fycOL92KqrWPnsVJeub4fAe72krGB4T7Nzj04wofBET4tPawQQgghhBCtotEoJIR4svFIkWQUdXNarZbExERUVUWr1fLmm29yySWXOO6fP38+8+bNIy8vD09Pe6bZ6tWrmTp1KpGRkdhsNgICAvj8888JCAhwHDd16lTy8/PZuHHjeVm3BIqEEN1GkamWl346RFyQO6/c0A9FUcgvrzmpV5C7s70n0bjeAfTv6cXiHdkAPHlVX64dKBPKhBBCCCHE+ZUUag8USY+i7s1oNLJr1y4AfvrpJ+bNm8eaNWsc9y9cuJDBgwezZMkSZs+e7dg+atQoli5dCsC8efN46623+Mc//gFAaWkpO3bswM3NjYyMDCIjI9t93fKqFEJ0G9uPllBSVcc/ro5HUexpvKdrKO1q0PHBLYOJCXDjsSl9mD2i/d9khRBCCCGE+L3h0b7oNAp+bvrOXoroIOXl5Xh7eztuHz58GJPJxNNPP83ChQtbPEZVVSoqKpodt3jxYq666ipmzJjBokWLzstaJaNICNFtHC6oBKBvsEerj/Fx1bPi/jHna0lCCCGEEEKcZGzvALb/7VLH9F3RPVVXV5OcnExNTQ25ubmsXLnScd/ChQuZOXMmo0aNIiUlhfz8fEd52dq1a0lOTqaoqAhXV1eeffbZZsc98cQTBAYGct111zFv3rx2X7cEioQQF5ydx0roFeiOm6H5W1h6volAD4OjtEwIIYQQQoiuSoJEHWftl6kUZpna9Zx+YW6MuiH2tPs0LT3buHEjs2bNYt++fSiKwqJFi1iyZAkajYbp06fz1VdfcffddwPNS89eeOEFHnroId555x3y8vJIT09n5MiRKIqCTqdj3759JCQktOtzk9IzIcQFw2K1Mf+XVKa9vYHpb69n57ESSirNANRarGzJLKJXgHsnr1IIIYQQQgghmhs+fDiFhYUUFBSwZ88e0tLSuPTSS4mIiGDRokWnLD+7+uqr+e233wD44osvKCkpITIykoiICDIzM89L+ZlkFAkhLghVZgv/7/3N7DhWyoS4ALZmFjPt7Q309HFh8V2X8NiSvWQVV/PU1PaNpgshhBBCCCEubGfK/OkIhw4dwmq14uvry/z583nyySeblY1FRkZy9OjRk45bt24d0dHRgL3sbPny5QwfPhyAjIwMLr30Up5++ul2XasEioToJvLLa9h4pIgrk4JRsI/dBHsDtIbGzhciVVWx2lTuWbiLXVmlPD89kRsGhZFRVMnj3+xjw+EiBj+zArBPLRvbO+AMZxRCCCGEEEKI86+hRxHYr2s+/vhjtFotixYtYtmyZc32nTZtGosWLWLo0KGOHkWqquLp6cn7779PZmYmx44dY9iwYY5jIiMj8fDwYPPmzQwdOrTd1q2oqtpuJzsfBg0apG7btq2zlyFEl7JkZzZFJjMBHs7sOFrC6pR8ckqrqbOqxAa6UWQyM7FPIAdPlOPnZuDD2YNRVZXskmpCvY0cL6vh6+3ZfLv7OPnlNfxzagLX9A/p7Kd1krLqOp5fdpCFW7IA+MfV8dxySUSzfV75OYUlO3N48LLeTE3ues9BCCGEEEII0fEOHjxInz59OnsZXUZLvw9FUbarqjro9/tKRpEQXcyRAhPbjpbg7aJnQlwAGo3C1sxi6qw2EkI8UW1w/5e7+X2Md/YlEaw8lE9qngm9TsOvh/IoNNn79/yWWsCSnTks2ZnDzCE9+X73cUy1FoZE+KCqKk9+v/+UgaKle46zLq2Q569NAsBssaHXdUx7s1sXbGX70RIA7hgTdVKQCOCBSb15YFLvDlmPEEIIIYQQQnR3EigSopNZbSqmWguHC0x8sDaDH/bmOu4L9nTGpsKJ8hoAXPRabhgUhqrCezcPxEmn4d+rD/Pw5N4MDPfh6uRgCipquSw+CIDSKjOXv7aWWR9uAaBfmBcLtxwDYOmfR5IQ4slbq9J56acUauqsODtpT1rfnz7fCcCs4RHodQoTX/2NaH9XbrkkghsHh2HQNR5zqnO0xeqUfPYfLycp1NMRJFr38DhCvV3O6bxCCCGEEEIIIc5MAkVCdLLXVqTy+sr0k7Y/Nz2RH/fmcuB4OXeMjmJYtC9zPtrKgg2ZuOi1jI71x9lJy7gmPXkG9PRudg4vFz0/3jOK135NY0SMH+PjAliyMwdPoxMJIZ4A+LrqAThWXMWqQ/nMGRHpyBg6XlrtONerv6QQUz9R7HBBJX//dj9vrEynX6gnrgYdCvDD3lx+vm8MkX6uZ/W7OFZUxeyPtjbb9v2fRkqQSAghhBBCCCE6iASKhOhEP+7NdQSJXrg2keQwb7QaBT83PV4uemYO6dls/wlxAfx6KJ9Fc4e1OnPH21XPk1fHO25fNzC02f2+bgYAXlx+iBUH8+kb7MHQSF/0Og27s0oBuCY5mG92Hee31ELHcc9NT2Te13tZcTC/2fl2ZZW0GCg6UmDi+925zB0dhVHf8tq3HS0G4LUZyXi56HEzaEkM9WzV8xRCCCGEEEIIce4kUCREJ3r1l1TAnjXTmoDIm38YQJ3NhoezU7utwdfNnlHUEPC5d9EuSqvrWHH/GDYdKUKnUXj+2iRMtVZWHMxjaKQPXi5OzBzSkx1HSzDVWhgY7k1iiCf/74PN7M8pZ1p/+7lPlNXw4vJDBHg488nGTKrMVqrqLMy7vOWmcvtyynF20nBlUjBazYU7qU0IIYQQQgghLlQSKBKiE9RZbSzccoz0fBNPXNW31VkzRr0WI+fWA+j3/FwNzW4XVdobYI97eTUACSEeODtpeeWGfvywJ5frBoY6StNeur5fs2P93Qy8vy4Dq6ry5/G9+OtXu1mXbs9CGhLhg6+bnnfXHKGnjws3DQ1vdqzNprI+vZA+PTwkSCSEEEIIIYQQnUQCRUJ0gv/3/mY2ZxQzKNybaZ08lr4hoyg20A2rTeVwQSXR/q7MHR2Fs5OWpFAvADyNTvxhaM/TnYqHL4/jL4t28dH6TBZtyaLGYuWe8TFMHxBKTx8XVGD2R1t4aukBCipq8XUzcNOQnmg0Cr8czCMlr4LXZiSf76cshBBCCCGEEOedVqslMTERi8VCnz59+Pjjj3FxcXFsb/DNN9+QmZnJ1KlTiYyMdGx/+eWXmThxYoevWwJFQrSB1abywbojjIjxIz747HrnVNTUsTmjmNtHRfLolD4oSudmz7jotUzvH8JVycFsOlzE4YIj/P2qeMbE+rf5XFOTQ5iS2INtmSX8b3s2Gw8Xcv2gMMJ8GptRv3x9P657ZwP/WpEGQKi3kXG9A/h5fx6eRieuSOzRbs9NCCGEEEIIITqL0Whk165dANx0002888473H///c22N8jMzGTUqFEsXbq0M5bajASKhGglm03l1V9SeGvVYQAOPTW5xYbSP+0/wf+2Z/PezQNbDAIdLaoC7BPKOjtIBKAoCq/eaM/iGdc7gL9e1hsnreasz+ek1TA82pfh0b4t3h/o4cxvD46jps7GkGdWsHzvCUb38md1Sj5je/ujO4fHFkIIIYQQQoiuaNSoUezZs6ezl9EqEijqZLll1Ww6UsS0/qFn3lmcpKTSzHe7j3Np30CCvYztdt5aixUAg07Ld7uP8+/Vh3HSKuzJLsPNoMNUa2F3VilDo04Ohtzx6XYAaupsGPVabDaVTzcdJS7InaFRvuw4VgJAxFmOkD/fziVI1FqKomDUaxnfJ4CfD5zgukGhFFWaGR8XcN4fWwghhBBCCCE6ksViYdmyZUyePBmA6upqkpPtX9ZHRkayZMkSANauXevYDrB48WKio6M7fL0SKOpkty3YxoHccvqHeRPo4XzKseHiZLUWK4eO54YAACAASURBVLMXbGV3VinL9uXy4ezBaBSFj9ZncmVSj2blTm1RbbYy6V9ryCquxsdVT3F9c2ewj7Cf1DeI/k/9wvr0whYDRQ0qauow6rV8uukoT3y3H4A7xkTx7pojAIT7nt36upPLE4L4dtdxnlp6AK1GOatyNyGEEEIIIYQ4nVUL3iP/6JF2PWdAeBTjZs897T5NA0KjRo3itttuA2ix9KxhHyk9u4g8++NBtmQUE+Bu4EhhJcWVZnoFuHEgtxyAsS+vJtLPlS/uGEaAu3Mnr7Zrs9pUqswW7vn/7N13fFX1/cfx1yGDJIQAYUNAIAzZlylDqqIoLtRiFa2rrqpYR7XVYqu0itVfrbbWVfcqULWiVYsLVKSgMhrZewgyQsJKyCDj/P5IvBqZakgQX8/HIw/v+Z7vOfdzLiqXN98x7n98umYrjVNq8tGKzXT//duk1opn4/ZC1m/L5w+nddnl2tzCYnILimlSZ/efcW5hMd1//zYlpSEXDWhFYXEJKYlx9GtTn7YNk6Ph0zEdGvLIlBUc27Ex3VvUjV7/2JQv/+ezvaCIRikJzFy9hZSEWI5s1yAaEv3qhA4kxfuf3zGHN6JxSk3mrN1Gr8PqUTcpvrpLkiRJkqRKsadA6GDnn1SrwMxVm3l0ygraNKjF2i35dGiSTM+WdZk4b0OFfiuzdnDBE5/wz8v7Uycpbr/uvW5rPrM/28Ip3ZodiNIPOjuLSznmnvf5fGs+AH/8cVdO7d6MyYsymf/5Nhas305iXAyfrNzMko053PDCp/zfmd3o2DQFgJ8+/jGfrtnKyj+etNv1gT5YvImS0pBz+rZg9LDOe6zjz2dFGPbAVH7+3CwePq8n2bk7WZqZy91vLor22V5QDMDSjTn0OqweD57bk+c/Wk1hcSmXDmpTmR/L91bN2BhGn9qZK/8xu9p3f5MkSZJ0aNrXyB9VZFBUBRLjYzi+U2PuOztCrZpffuTXHteeByYvZdwnawDo2zqVmas28/jUFdxwfIdov1ET5jIgvf5uw6Cr/jGbjDVb6dGyHs0rcY2e6jbmjQXkFpZwxVFtOKz+l2v5LFi/nc+35tMyNYkbjm/PaZGycGFY92YM6172+fxt0lLufXcJFz35Ceu2FfDGnPXRoOjTNVsBWJWdR+sGtSgtDalR48vA6P3FmdRLiuOO07/cqnB3UmvF8+j5vTn70emc8dC0aPup3Zsxok8Lfvr4x2zPL6KkNGRF1g5+1L4hQRBwfv9WlfL5HEpO7NqURbcPpWasi1hLkiRJ+uH6+hpFv/3tbznzzDOrvA7/ZFYFOjerw6MX9K4QEgE0r5vIH3/cLTp16ZRuTenbOpW352+M9ikoKmHsx59x9dj/RdvufXsxj05ZzoZtBazM2gHAuws2cigoLQ25euxsHvtwJeM++Yyj/vQ+rW5+Izqla9bqsoWg//nzftGQ6OtO79GcANict5PmdROZtjwLgOKS0mifK5+fxcxVm+k6+i1mrNocbV+yMYfOzeoQU2Pfu5F1apbCKyMH0q9NKolxMVxzbDv+enaEhrVrApBTUMy6rfnsLC6lzUG6cPXBIiEu5qDYAU6SJEmSKktubu5+tx999NFs27aNjIyM6E91hETgiKKDQlL5FuuNatfk+E5N+MPrC5i8aCODD2/MquwdFfrm7Szm/snLALjzP19Oc/rvsiwuHNCqymquDAVFJWzYVkCL1KRoMPOfeet5fc56AF74eX/O+vt0AP44cSGX/agNs1dvoXndRJrW2fPoqRapSfzpzO6k1Utk2vJs/jppKaf+bSorNn35H+OiDTlc9uxMduwsYfKiTJrWSSCmRsDSzFzO6t1iv58hvWEy4y/vX6EtJaFs2mBOQTFrNucB0PJbLqwtSZIkSVJVMig6CBxWP4npK7JJio9lSKfG/OH1BVz89Ew++NXRLM/8MigKw5AlG8vCjmsGtyUlMY7567azYlMuM1dvIQzD782ojGvH/49/f7qOMISeLevyrysHEAQBr/xvHQ2SazLusiNo17h2tH9pCPdPWsqMVZv3utPYF4b3SgOgSZ0E/jppKXM/38ZPeqXRsWkKxxzeiGPueZ+t+UU0rF2Th99fzsPvL49e265x8nd6ttoJZf9ZbS8o4rPyoOjb7sAmSZIkSVJVMig6CNxyckfaNkrmyLYNqFEjoFtaHeas3cbKrB0szcyJ9tuSV8Si8l3ShvdKi67d88LMNfz6pTlMX57NgLYNquUZvol5n2/j1Yx1nBZpRlxMDV6atZbHPlxB6wbJfLIym5O6No2GRMN7pvGv2WsBuPedJQD0all3j/f+usPq1+KZi/tSUlrK4MMbR9uP69iIzs3q0LROAje/PBeAc/q2IDt3J8d0aPSdni8pPoaYGgE5BUXkFBQRUyOg6R52WZMkSZIk6WBiUHQQqJ0QV2EXrIfP68XAuyazflsBc9Zui7avzt7B7M/KtlpvUe/LESrDujfjr+8u5Q+vL+D1XxxJbMzBvfTUPz7+jIS4GvxhWBdq1IBJCzdWmEZ39FeCmv87sxvXHdeOKUs3MSC9Ae8vzuTMbzA1DOCo9g13aXv8wj7R160a1OLl2Wu54/Su+7U20b4EQUDj2jVZsjGXxLgYmtVNOOh/TSRJkiRJgv0IioIgaAE8CzQBSoFHwzD8axAEqcA/gVbAKuCsMAy3lF/zG+ASoAS4JgzDt8rbewFPA4nAf4BrwzAMK/eRvv8a165JjQBWZ+fx6ZqtdE+rw6drt/HZ5jymr8imX5v6FXbqSoiL4bcnd+TKf8xm7CefccFBuLPWB0s2sSprB4fVT+KV/33Oqd2aUSepbC2ft68/iqWZOSTXjKVeUnyFaVoxNQJapCbx0yMOA6B1g9aVXlu/NvXptx/T2b6Jk7o25Znpq0irl+T6RJIkSZKk7439GeZQDNwQhmFHoB8wMgiCTsDNwKQwDNsBk8qPKT83AugMDAUeCoIgpvxeDwOXA+3Kf4ZW4rMcMmJjatA4JYFHpywne8fOaPDz4HvLWLM5v8KImy8M7dKEAen1ufXV+Vz6zEwOtvzt5n/N4bZ/z+eip2aQX1TCef0Oi55rWLsmA9Ib0C2t7iGzls/wXmkUlYSszNpRYfSXJEmSJEkHs30GRWEYrg/DcHb56xxgIdAcOA14przbM8Dp5a9PA8aHYVgYhuFKYBnQNwiCpkBKGIbTy0cRPfuVa/Q1hzepTd2keB45rxfDe6XROKVsKtMJnRtzdp9dp14FQcDoYZ0BeHfhRjZuL6zqkvcof2cJ67cVcPHA1vzulE5cNqg13dLqVHdZB1THpil0bpYCuJC1JEmSJP0QBUHADTfcED2+5557GD16NACjR4+mefPmRCIRIpEIN998MwBHH300M2fOrHCfl19+mWOPPTZ6PHXqVCKRCMXFxQek7m+0cEoQBK2AHsDHQOMwDNdDWZgEfDHMpTmw5iuXrS1va17++uvt2o2/nduTqTcdw9AuTQDodVg9+rZO5a8jeuxxHZ32jWvz6Pm9AFi8MWe3fapCGIbc+/Zijrv3A3r84W1enFX2r0OkZV0uObI1t5zc6XuzO9t3Mbxn2c5rafUSq7kSSZIkSVJVq1mzJi+//DJZWVm7PX/99deTkZFBRkYGd9111x7v8+Mf/5iEhATGjh1LcXExV111FQ899BCxsQdm2en9vmsQBMnAv4DrwjDcvpc/6O/uRLiX9t291+WUTVGjZcuW+1viISW5ZsVfmgfP7UkYUmFtot3p2zoVgCUbcna7iHNVeGPueu6fvIx+bVJZnb2DW1+dD0Cr+j+skTVn9k7js8151fbrIEmSJEmqPrGxsVx++eXcd999jBkz5jvd629/+xvHHXcc8+fPp0+fPgwYMKCSqtzVfo0oCoIgjrKQ6B9hGL5c3ryxfDoZ5f/MLG9fC3x1blQasK68PW037bsIw/DRMAx7h2HYu2FD/5ANZUPW9hUSAdRNiqd+rXhWZO2ogqp2lVNQxB9eW0DX5nV4/pIjSIgtW56qRgBtGiZXS03VJSUhjtHDOlM3Kb66S5EkSZIkVYORI0fyj3/8g23btu1y7r777otOPXvrrbf2ep82bdpw9tln88ADD3D33XcfqHKB/dv1LACeABaGYXjvV079G7gQuKv8n69+pX1sEAT3As0oW7T6kzAMS4IgyAmCoB9lU9cuAP5WaU+iqEYpCWzKKaiW9352+mo25Rby2AW9iY2pQd/WqUxalMnUmwbvMkpKkiRJkqQDbetry9m5rnIHU8Q3q0XdU9P32S8lJYULLriA+++/n8TEisuSXH/99dx444379X6lpaW8++67JCcns3r1aho0aPCt6t4f+zOiaCBwPjA4CIKM8p+TKAuIhgRBsBQYUn5MGIbzgReABcCbwMgwDEvK73Ul8DhlC1wvByZW5sOoTMPaNdmUUz2LWS/LzKVZnUS6t6gLwL1nRXj7+h/RrK7r9EiSJEmSfniuu+46nnjiCXbs+PZh1YMPPkiXLl144oknGDly5AHd6XyfQzzCMJzK7tcXAjh2d41hGI4BdpmAF4bhTKDLNylQ31yj2jVZWk2LWW/cXkDjlJrR4zpJcdRJiquWWiRJkiRJ2p+RPwdSamoqZ511Fk888QQXX3zxN75+w4YN3HvvvXzyySc0bNiQxx57jMcff5zLLrvsAFT7DRaz1vdHo/IRRaWl4X6ta/Rdrczawd8/WM41x7YjM6eQtj+wtYgkSZIkSdqbG264gQceeGC/+p588snExZUNuOjfvz9xcXH8+te/5os1nP/yl78waNAghg8fTmpqaqXXalB0CGpUuybFpSFb8naSWiue4tKQuJi9zzJcszmPlVk7SK0VT6emKfsVMGVuL+Cnj39M7YRYZn+2lQ+XZrE1bycD0+tX1qNIkiRJkvS9lJubG33duHFj8vLyosejR4/e7TXvv//+Pu/bokULVq1a9R2r2zODokPQYfVrAWXrBb0xdz3PTl/NijtP2mv4c/XY2Xy6tmwV9nvP6s6Pe6btse8XHvlgBUszv/wXPyu3kMLiUhqlJHzHJ5AkSZIkSdVhfxaz1vfMFwtJv79kE89OXw3AtvyivV6zZks+Qzo1JrZGUCH82Z0npq7kvUWZ/OPj1dG2c/q25C9nRwgCaN2g1nd8AkmSJEmSVB0cUXQISq0VT6v6STz8/vJoW4/b32HWb4+jfnLNXfrvLC5l846ddGlWh8UbcvgsO4/MnAIa1d51ZFDezmJuf30BADUCqJcUx5a8Is7s1Zxeh6XyyajjqF8r/sA9nCRJkiRJOmAMig5R954dYcG67azbms9D5YHR4o05DCgPigqKSggCqBkbQ1ZuIQCNUmrSrG4Cb8xdzxtz1zPjluNoWLtisLQq68s5lef1O4wL+rciY81Weh1WtoDW1/tLkiRJkqTvD4OiQ1TPlvXo2bIeyzflRoOirXlfTj+75JkZJMTGcMXR6dzz1mKgbBHs7Nyd0T7LN+XuGhRl7wDgjWuOpHOzOgC0beQuZ5IkSZIkHQpco+gQ99WgZ93W/OjrBeu2M2lRJj95ZDofr9wMQKPaCYw6uWN0jaM1m/P4umXl6xe1qu86RJIkSZIkHWoMig5xtWt+OWhsw7YCoGydoS15uy5unVYvkWM6NOLFn/cnCMoWuP6qnIIinvtoNT1b1qVWTQejSZIkSZK0Nxs2bGDEiBGkp6fTqVMnTjrpJJYsWUJiYiKRSIROnTpxwQUXUFRU9mf0999/nyAIeOKJJ6L3+N///kcQBNxzzz1VUrNB0SEuCAJevmoAtWvG8vzHq+n++7fp8Yd3AGiRmhjtl96wFvXKF6GOj61B05QEVmXtqHCv+yctJSu3kNtO7Vx1DyBJkiRJ0vdQGIacccYZHH300SxfvpwFCxZw5513snHjRtLT08nIyGDu3LmsXbuWF154IXpd165d+ec//xk9Hj9+PN27d6+yug2KfgB6tqzH6GGdOalrU7ql1aGwuBSAm4YeTt2kOG48vj0TRg6scM3Atg14a/4GNm4vG4W0dGMOT/13FSP6tIhOTZMkSZIkSbv33nvvERcXxxVXXBFti0QitGjRInocExND3759+fzzz6NtLVu2pKCggI0bNxKGIW+++SYnnnhildVtUPQDMbxXGveeFWHUSR2jbf3a1Gf2b4dw9eB2pCTEVej/i8HtKCkNefC9ZQDcNXERtWrG8qsTDq/SuiVJkiRJ+j6aN28evXr12mufgoICPv74Y4YOHVqh/cwzz+TFF19k2rRp9OzZk5o1q26HcRea+YFpV75DWaemKTRI3vO/aC3rJ3FWnxaM++QzuqXV5cNlWfy4R3NSy6enSZIkSZL0fTBx4kQ2bNhQqfds0qTJdxrls3z5ciKRCEuXLuXMM8+kW7duFc6fddZZnH322SxatIhzzjmHadOmfdeS95sjin5gYmNqMOVXx/DSlf332fcXg9tSNymeG1/8lJ3FpbRITaqCCiVJkiRJ+v7r3Lkzs2bN2u25L9YoWrZsGR999BH//ve/K5xv0qQJcXFxvPPOOxx77LFVUW6UI4p+gFrW37/Ap2mdRP5702Aif3ibvJ0lBkWSJEmSpO+dqlzf56sGDx7MqFGjeOyxx7jssssAmDFjBnl5edE+TZs25a677uKPf/wjw4YNq3D9H/7wBzIzM4mJianSuh1RpL2Kj61B/eSy6WbN6ybuo7ckSZIkSYKyXcgnTJjAO++8Q3p6Op07d2b06NE0a9asQr/TTz+dvLw8PvzwwwrtAwYM4PTTT6/KkgEIwjCs8jf9Jnr37h3OnDmzusv4QXs143OuHZ9Bxq1DqJvkGkWSJEmSpIPbwoUL6dix4747/kDs7vMIgmBWGIa9v97XqWfap9MizTkt0ry6y5AkSZIkSQeYU88kSZIkSZIEGBRJkiRJkiSpnEGRJEmSJEmSAIMiSZIkSZIklTMokiRJkiRJEmBQJEmSJEmSdEBMmDCBIAhYtGgRAKtWrSIIAn73u99F+2RlZREXF8fVV1/NmDFjiEQiRCIRYmJioq/vv//+KqvZoEiSJEmSJOkAGDduHEceeSTjx4+PtrVp04bXX389evziiy/SuXNnAG655RYyMjLIyMggMTEx+vqaa66pspoNiiRJkiRJkipZbm4u//3vf3niiScqBEWJiYl07NiRmTNnAvDPf/6Ts846q7rK3IVBkSRJkiRJUiV75ZVXGDp0KO3btyc1NZXZs2dHz40YMYLx48ezdu1aYmJiaNasWTVWWlFsdRcgSZIkSZJ0oCxZcjs5uQsr9Z61kzvSvv3v9tpn3LhxXHfddUBZMDRu3DhGjhwJwNChQ/nd735H48aNOfvssyu1tu/KoEiSJEmSJKkSZWdnM3nyZObNm0cQBJSUlBAEAVdddRUA8fHx9OrViz//+c/Mnz+f1157rZor/pJBkSRJkiRJOmTta+TPgfDSSy9xwQUX8Pe//z3adtRRR7F27dro8Q033MBRRx1F/fr1q7y+vTEokiRJkiRJqkTjxo3j5ptvrtA2fPhw7rzzzuhx586do7udHUyCMAyru4a96t27d/jFSuCSJEmSJEn7snDhQjp27FjdZRw0dvd5BEEwKwzD3l/v665nkiRJkiRJAgyKJEmSJEmSVM6gSJIkSZIkSYBBkSRJkiRJksoZFEmSJEmSJAkwKJIkSZIkSVK52OouQJIkSZIk6VATExND165do8evvPIKq1at4rTTTqN169aUlpbSqFEjxo4dS6NGjaqx0oocUSRJkiRJklTJEhMTycjIiP60atUKgEGDBpGRkcGcOXPo06cPDz74YPUW+jUGRZIkSZIkSVUsDENycnKoV69edZdSgVPPJEmSJEmSKll+fj6RSASA1q1bM2HCBAA+/PBDIpEI2dnZ1KpVizvvvLM6y9yFQZEkSZIkSTpk/W7pWubl5lfqPbskJ3J7u7S99vli6tnXDRo0iNdffx2Au+++m1//+tc88sgjlVrfd+HUM0mSJEmSpGowbNgwpkyZUt1lVOCIIkmSJEmSdMja18if6jR16lTS09Oru4wKDIokSZIkSZKqyBdrFIVhSJ06dXj88ceru6QKDIokSZIkSZIqWW5u7i5tRx99NNu2bauGavafaxRJkiRJkiQJMCiSJEmSJElSOYMiSZIkSZIkAQZFkiRJkiRJKmdQJEmSJEmSJMCgSJIkSZIkSeUMiiRJkiRJkipZEAScf/750ePi4mIaNmzIKaecAsDGjRs55ZRT6N69O506deKkk04CYNWqVSQmJhKJRKI/v//976OvY2Jioq/vv//+Sq87dj8e7EngFCAzDMMu5W2jgcuATeXdRoVh+J/yc78BLgFKgGvCMHyrvL0X8DSQCPwHuDYMw7AyH0aSJEmSJOlgUKtWLebNm0d+fj6JiYm88847NG/ePHr+1ltvZciQIVx77bUAzJkzJ3ouPT2djIyMCve77bbbAEhOTt7lXGXanxFFTwNDd9N+XxiGkfKfL0KiTsAIoHP5NQ8FQRBT3v9h4HKgXfnP7u4pSZIkSZJ0SDjxxBN54403ABg3bhznnHNO9Nz69etJS0uLHnfr1q3K69udfQZFYRhOATbv5/1OA8aHYVgYhuFKYBnQNwiCpkBKGIbTy0cRPQuc/m2LliRJkiRJOtiNGDGC8ePHU1BQwJw5czjiiCOi50aOHMkll1zCMcccw5gxY1i3bl303PLly6PTy0aOHFmlNe9z6tleXB0EwQXATOCGMAy3AM2Bj77SZ215W1H566+371YQBJdTNvqIli1bfocSJUmSJEnSD9nvX5vPgnXbK/WenZqlcNupnffZr1u3bqxatYpx48ZF1yD6wgknnMCKFSt48803mThxIj169GDevHnA7qeeVZVvu5j1w0A6EAHWA38ubw920zfcS/tuhWH4aBiGvcMw7N2wYcNvWaIkSZIkSVL1GjZsGDfeeGOFaWdfSE1N5dxzz+W5556jT58+TJkypRoqrOhbjSgKw3DjF6+DIHgMeL38cC3Q4itd04B15e1pu2mXJEmSJEk6YPZn5M+BdPHFF1OnTh26du3K+++/H22fPHky/fr1IykpiZycHJYvX35QzKr6ViOKytcc+sIZwLzy1/8GRgRBUDMIgtaULVr9SRiG64GcIAj6BUEQABcAr36HuiVJkiRJkg56aWlp0Z3NvmrWrFn07t2bbt260b9/fy699FL69OlTDRVWFOxrh/ogCMYBRwMNgI3AbeXHEcqmj60Cfl4eBhEEwS3AxUAxcF0YhhPL23tTtoNaIjAR+EW4rzcHevfuHc6cOfMbP5gkSZIkSfphWrhwIR07dqzuMg4au/s8giCYFYZh76/33efUszAMd51EB0/spf8YYMxu2mcCXfb1fpIkSZIkSaoe33Yxa0mSJEmSJB1iDIokSZIkSZIEGBRJkiRJkiSpnEGRJEmSJEmSAIMiSZIkSZIklTMokiRJkiRJOgA2bNjAiBEjSE9Pp1OnTpx00kksWbKE+fPnM3jwYNq3b0+7du24/fbbCcMQgI0bN3LKKafQvXv36DVz584lEokQiURITU2ldevWRCIRjjvuuEqvObbS7yhJkiRJkvQDF4YhZ5xxBhdeeCHjx48HICMjg40bN3LRRRfx8MMPc/zxx5OXl8fw4cN56KGHGDlyJLfeeitDhgzh2muvBWDOnDl07dqVjIwMAC666CJOOeUUzjzzzANStyOKJEmSJEmSKtl7771HXFwcV1xxRbQtEomwZMkSBg4cyPHHHw9AUlISDzzwAHfddRcA69evJy0tLXpNt27dqrRugyJJkiRJkqRKNm/ePHr16rVL+/z583dpT09PJzc3l+3btzNy5EguueQSjjnmGMaMGcO6deuqqmTAqWeSJEmSJOlQNvFm2DC3cu/ZpCuceNe3ujQMQ4Ig2O25IAg44YQTWLFiBW+++SYTJ06kR48ezJs3j4YNG36XivebI4okSZIkSZIqWefOnZk1a9Zu22fOnFmhbcWKFSQnJ1O7dm0AUlNTOffcc3nuuefo06cPU6ZMqZKawRFFkiRJkiTpUPYtR/58V4MHD2bUqFE89thjXHbZZQDMmDGDdu3aceedd/Luu+9y3HHHkZ+fzzXXXMOvf/1rACZPnky/fv1ISkoiJyeH5cuX07Jlyyqr2xFFkiRJkiRJlSwIAiZMmMA777xDeno6nTt3ZvTo0TRr1oxXX32VO+64gw4dOtC1a1f69OnD1VdfDcCsWbPo3bs33bp1o3///lx66aX06dOn6uoOw7DK3uzb6N27d/j1IVmSJEmSJEl7snDhQjp27FjdZRw0dvd5BEEwKwzD3l/v64giSZIkSZIkAQZFkiRJkiRJKmdQJEmSJEmSJMCgSJIkSZIkSeUMiiRJkiRJkgQYFEmSJEmSJKmcQZEkSZIkSVIli4mJIRKJ0L17d3r27Mm0adMAWLVqFV26dNml/0UXXcRLL70EwObNm+nRowdPPfVUldYMEFvl7yhJkiRJknSIS0xMJCMjA4C33nqL3/zmN3zwwQf7vG7btm2ccMIJXH755fzsZz870GXuwhFFkiRJkiRJB9D27dupV6/ePvvl5uZy4okncu6553LllVdWQWW7ckSRJEmSJElSJcvPzycSiVBQUMD69euZPHnyPq/55S9/yaWXXsr1119fBRXunkGRJEmSJEk6ZN39yd0s2ryoUu95eOrh3NT3pr32+erUs+nTp3PBBRcwb968vV4zePBgXn31VW688UYaNWpUafV+E049kyRJkiRJOoD69+9PVlYWmzZt2mu/ESNGcOWVV3LSSSeRk5NTRdVV5IgiSZIkSZJ0yNrXyJ+qsGjRIkpKSqhfvz55eXl77Xvdddexfv16zjjjDP7zn/8QHx9fRVWWMSiSJEmSJEmqZF+sUQQQhiHPPPMMMTExACxevJi0tLRo3/vuu6/CtXfffTc/+9nPOP/88xk3bhw1D2OK+gAAIABJREFUalTdhDCDIkmSJEmSpEpWUlKy2/ZWrVpRVFS0S/tPfvKTCsdPPfXUAalrX1yjSJIkSZIkSYBBkSRJkiRJksoZFEmSJEmSJAkwKJIkSZIkSVI5gyJJkiRJkiQBBkWSJEmSJEkqZ1AkSZIkSZJUibKzs4lEIkQiEZo0aULz5s2jx0EQEIlE6NKlC6eeeipbt26NXjd//nwGDx5M+/btadeuHbfffjthGBKGIQ0aNGDLli0ArF+/niAImDp1avTahg0bkp2d/Z1rNyiSJEmSJEmqRPXr1ycjI4OMjAyuuOIKrr/++uhxrVq1yMjIYN68eaSmpvLggw8CkJ+fz7Bhw7j55ptZsmQJn376KdOmTeOhhx4iCAKOOOIIpk+fDsC0adPo0aMH06ZNA2Dx4sU0aNCA+vXrf+faDYokSZIkSZKqQf/+/fn8888BGDt2LAMHDuT4448HICkpiQceeIC77roLgIEDB0aDoWnTpvHLX/6yQnA0YMCASqnJoEiSJEmSJKmKlZSUMGnSJIYNGwaUTTvr1atXhT7p6enk5uayfft2BgwYEA2KPvnkE04//XTWrFkDlAVFAwcOrJS6YivlLpIkSZIkSQehDXfeSeHCRZV6z5odD6fJqFHf6tr8/HwikQirVq2iV69eDBkyBIAwDAmCYLfXBEFA3759+d///seOHTsoKioiOTmZNm3asGzZMqZNm8YNN9zwrZ/nqxxRJEmSJEmSVEUSExPJyMhg9erV7Ny5M7pGUefOnZk5c2aFvitWrCA5OZnatWuTlJRE27ZtefLJJ+nZsycA/fr14z//+Q+ZmZl06NChUupzRJEkSZIkSTpkfduRPwdanTp1uP/++znttNO48sor+elPf8qdd97Ju+++y3HHHUd+fj7XXHMNv/71r6PXDBw4kL/85S+MHj0aKFvj6LzzzqNfv357HI30TTmiSJIkSZIkqRr06NGD7t27M378eBITE3n11Ve544476NChA127dqVPnz5cffXV0f4DBw5kxYoV9O/fH4CePXuydu3aSlvIGiAIw7DSbnYg9O7dO/z60CtJkiRJkqQ9WbhwIR07dqzuMg4au/s8giCYFYZh76/3dUSRJEmSJEmSAIMiSZIkSZIklTMokiRJkiRJEmBQJEmSJEmSpHIGRZIkSZIkSQIMiiRJkiRJklTOoEiSJEmSJKmSrVq1ii5dulRoGz16NPfccw8XXXQRzZs3p7CwEICsrCxatWq1z+uqgkGRJEmSJElSFYuJieHJJ5+s7jJ2YVAkSZIkSZJUxa677jruu+8+iouLq7uUCvYZFAVB8GQQBJlBEMz7SltqEATvBEGwtPyf9b5y7jdBECwLgmBxEAQnfKW9VxAEc8vP3R8EQVD5jyNJkiRJknTwa9myJUceeSTPPffcLueWL19OJBKJ/jzyyCNVVlfsfvR5GngAePYrbTcDk8IwvCsIgpvLj28KgqATMALoDDQD3g2CoH0YhiXAw8DlwEfAf4ChwMTKehBJkiRJkqSv+/CFJWStya3UezZokcygs9rvtc+exsd8tX3UqFEMGzaMk08+uUKf9PR0MjIyosejR4/+9sV+Q/scURSG4RRg89eaTwOeKX/9DHD6V9rHh2FYGIbhSmAZ0DcIgqZAShiG08MwDCkLnU5HkiRJkiTpEFS/fn22bNlSoW3z5s00aNAgety2bVsikQgvvPBCVZe3R/szomh3GodhuB4gDMP1QRA0Km9vTtmIoS+sLW8rKn/99XZJkiRJkqQDZl8jfw6U5ORkmjZtyqRJkzj22GPZvHkzb775Jtdeey3vvfdetN8tt9yyy4ii6lTZi1nvblxVuJf23d8kCC4PgmBmEAQzN23aVGnFSZIkSZIkVZVnn32WO+64g0gkwuDBg7nttttIT0+v0Kdz58707Nmzmirc1bcdUbQxCIKm5aOJmgKZ5e1rgRZf6ZcGrCtvT9tN+26FYfgo8ChA79699xgoSZIkSZIkHaw6depUYfTQF55++ukKxy+//HL0datWrZg3b16F8wfVGkV78G/gwvLXFwKvfqV9RBAENYMgaA20Az4pn6aWEwRBv/Ldzi74yjWSJEmSJEk6COxzRFEQBOOAo4EGQRCsBW4D7gJeCILgEuAz4CcAYRjOD4LgBWABUAyMLN/xDOBKynZQS6RstzN3PJMkSZIkSTqI7DMoCsPwnD2cOnYP/ccAY3bTPhPo8o2qkyRJkiRJUpWp7MWsJUmSJEmS9D1lUCRJkiRJkiTAoEiSJEmSJEnlDIokSZIkSZIqWUxMDJFIhC5duvCTn/yEvLy8vbZv3LiRc889lzZt2tCrVy/69+/PhAkTqrxugyJJkiRJkqRKlpiYSEZGBvPmzSM+Pp5HHnlkj+1hGHL66afzox/9iBUrVjBr1izGjx/P2rVrq7xugyJJkiRJkqQDaNCgQSxbtmyP7ZMnTyY+Pp4rrrgieu6www7jF7/4RVWWCRgUSZIkSZIkHTDFxcVMnDiRrl277rF9/vz59OzZs5oqrCi2uguQJEmSJEk6UN57+lEyV6+o1Hs2OqwNx1x0+V775OfnE4lEgLKRQ5dccske27+YlvaFkSNHMnXqVOLj45kxY0al1r4vBkWSJEmSJEmV7Iu1iPanvXPnzvzrX/+KHj/44INkZWXRu3fvA17n1xkUSZIkSZKkQ9a+Rv4cDAYPHsyoUaN4+OGHufLKKwGiu6FVNdcokiRJkiRJqkZBEPDKK6/wwQcf0Lp1a/r27cuFF17I3XffXeW1OKJIkiRJkiSpkuXm5n6j9qZNmzJ+/PgDWdJ+cUSRJEmSJEmSAIMiSZIkSZIklTMokiRJkiRJEmBQJEmSJEmSDkFhGFZ3CQeFb/o5GBRJkiRJkqRDSkJCAtnZ2T/4sCgMQ7Kzs0lISNjva9z1TJIkSZIkHVLS0tJYu3YtmzZtqu5Sql1CQgJpaWn73d+gSJIkSZIkHVLi4uJo3bp1dZfxveTUM0mSJEmSJAEGRZIkSZIkSSpnUCRJkiRJkiTAoEiSJEmSJEnlDIokSZIkSZIEGBRJkiRJkiSpnEGRJEmSJEmSAIMiSZIkSZIklTMokiRJkiRJEmBQJEmSJEmSpHIGRZIkSZIkSQIMiiRJkiRJklTOoEiSJEmSJEmAQZEkSZIkSZLKGRRJkiRJkiQJMCiSJEmSJElSOYMiSZIkSZIkAQZFkiRJkiRJKmdQJEmSJEmSJMCgSJIkSZIkSeUMiiRJkiRJkgQYFEmSJEmSJKmcQZEkSZIkSZIAgyJJkiRJknSIKw1LmZc1r7rL+F4wKJIkSZIkSYec4tJiXlv+Ght2bOD+2fdzzhvnsCB7QXWXddCLre4CJEnSD8eKbSv4NPNTGic1ZkDzAdVdjiRJ+h7LK8ojMTaRVdtXsa1wG10bdCWmRgx5RXks3LyQV5e9yoRlEwgICAmBsu8inep3qubKD24GRZIkqUq8tvw1Rk0dFT3u2qArkUYRft7t59SpWacaK5MkSdUhryiP3/33dwxoNoAz2p1Bzs6cvX4nWJi9kLtn3M0xLY5hw44NPL/weRJiEigoKQAgKTaJE1ufyJS1U9iUvwmAoa2GkhyfzJxNc1iyZQkrt62skmf7PgvCMKzuGvaqd+/e4cyZM6u7DEmS9B1sytvE+RPPJykuibsG3cXzC55nwrIJAKTXSeeRIY/QpFaTSn3PLQVbeG/Ne/wo7Uc0SGxQqfeWJEnf3YdrP+SqSVcBkBKfwvad2/lN398wLH0YK7etZG7WXNrWbcs7q9/hpSUvURwWV7j+qLSjaJ7cnPS66ews2clDGQ+RU5RDpGGE8zudT4fUDhyWcli0/ykvn0L71Pbce/S9VfqcB6sgCGaFYdh7l3aDIkmSdKCN+nAUb6x8gwcGP8CgtEHk7MxhwLgBHJ56OGtz1tIypSXjTx5PEASV9p4PZzzMQ58+RGwQy0VdLuLantdW2r0lSYe+iSsn8uicR7mg0wWc0OoEcnbmcNu027ik6yX0adKnusv73isqKWL4a8NZuW0lo/uPZsraKczOnE3uzlxqBDXYWboz2jeuRhxFpUUAvDzsZdbvWM+nmz7lyu5XElvjy4lSmws2k52fTdu6bXf5TpE3axY3vnQxc7sm896IDypct7/mbJpDbI3YQ2bq2p6CIqeeSZKkA6a4tJgP1n7A5DWTOb3t6QxKGwRA7fjaTPrJJOrWrMvLS19mzMdjOGLsEdxyxC2c1va0/b5/aVjK3/73N+JqxHFV5KoK5xZsXkDz5OZ0bdCVx+c+Ts7OHDLzMrmu13V8vP5jFmQv4PaBt1fq80qSDg1Ltyzl99N/z46iHdw67VZunXZrdJ2b2Zmzef+s90mKS6ruMqtMGIYUlBRQUlpCcnzyd7rPFwHO43MfZ+W2lXRM7cjw9sMZ3n44WflZ3DzlZlrVacX6HeuJrxHPkc2PZEirITw25zE6pHagXb12tKvXjh+l/WiX+6cmpJKakLrb986ZPJk+C4r48PDtPDb3MS7ucjEZmRkc0fQIALYVbuOVZa/w044/3SVEKiktYebGmVwz+Rra1WvHcyc+V6l/uXWwcUSRJEk6IJZuWcoV715BZl4mjZMa8/BxD9OuXrtd+m3fuZ1L37qUhZsXEmkY4bmTntuv+4dhyJ0f38n4xeOJCWJ4/YzXSaudFj035KUh9Grci9v638Z5E89j6Zalu9zj43M//l580c/Oz2Zb4TZapLQgNog9pL+cSlJ1mrlhJn+a+ScWZC8gMTaR5058jpXbV/J5zuds37mdpNgkHsh4gJv63MR5nc6r7nIPuK0FW7nwzQtZk7OGotIiAgJeGvYS7eu1Z8W2Ffzuv79jx84dHF7/cGrF1uKoFkdVCHA27NjAhKUTmPTZJBZvWQzAwGYD6VS/E88vfJ7WdVrzt8F/o1FSowP+LJ9d/Rj5mz7j/jOWMaVwXrT9uROfI9Iowuhpo/nX0n8BMLjFYI5vdTxDDhvC9p3bueH9G5idOZv4GvG8OfxNGiY1POD1VgVHFEmSpCr18tKX2Va4jfuPuZ9BaYP2OMQ7JT6FF059gXtn3stzC59ja8FW6ibU3W3fotIisvKy2Ji3kXdWv8P4xeMZlj6Mt1a9xchJI3l52MtMWDaB+2bdx/ad2zmi6REkxSXx9NCn+WDNB7Sv154HMh7g/TXvA7B061K6N+wOlI1OqhHUOCCfxd4syF7AuEXjuKDTBbsN0gBGTx8drTkgoFP9Tjx47IPUT6xfhZVK0vdfGIYUh8XE1Yjb7bkxH4/h89zPubH3jZyafiqpCal0SO1Qod+0ddN4ev7TnN3hbOJidr3PoWLltpUMe2UYAOd1PI+4mDiemvcUC7MX0qJ2C0a+O5Lcolw61e/ErI2z2LBjAy8seYGb+97MTzv+lPnZ87l60tVk52fTo1GP6H3/u+6/TFs3jcTYRP581J8PWEhUvLWQbW+soN7wdoRFO6mRfDi1kg/ntpyuzDz2fH4z9TeUhqW8suwVpq+bHg2JAOZlzWPymsm8u/pd5myaw+bCzbRKacWlSUNInLUYBh0aQdGeGBRJkqRKV1hSyEfrP6JHox4c0/KY/bpmWPownl3wLA9kPMCFnS6kSXKT6Bf5iSsncs/Me9iUtym6vS1A+3rtuWPgHfRo1IPfT/89keciALSt25Yz2p7B6W1PB8rCqFPTTwXgb4P/xue5nzP0X0NZvHkxryx7hcLiQmZnzuaUNqdwdY+rWZe7jrELx/Ljdj+mTd027CzZSXxM/Hf6TJ6d/yzPL3yemjE1ObH1ibSp04Yn5z3Jws0LAXh12asMaDaA2wfeTt2adXlz1Zu8uORF1uSsISs/C4CrI1eztXArzy98ntdXvM6FnS/8TjVJ0qGusKSQ+VnzaVOnDSk1U/jVB78iIzODJ4c+SYvaLXh0zqNk5Wfx236/ZernU1m2dRmj+49mePvhe7znpV0v5apJV/HGyjeiv88cCopLi3lt+Wuk1U4jISaBmz68CYCftP8JN/W9iaKSIp6Z/wyf5XzGHR/dwdrctTx5wpPR9Zq+WBvwrk/uYkCzAVzxzhVsLdzK34/7OwOaD+CT9Z+wYc1aak7cTufEw6n/i24kJh64Ub25Uz8nf24W8S1rU5q/NtpemlXESW1O4vhWx3PJW5dEA6IjmhxB90bd6dagG4PSBvHbqb/ltRWvATD2pLG0WZrDZ5dcSnavXtQ6cuAhPbrXoEiSJFWaz3M/Z9LqSfxp5p8AGNFhxH5f27ZeW87ucDZjF43ln4v/SbeG3fjHSf8AiH6Ju6L7FTROakzdhLp8tO4jhqUPIwgCTmh1AvfMvAeAW464hVPanLLXL3DNajUjNSGVv3/6dzLzM6Ptf5/zdw5LOYxnFzzLos2LyC/O56cdf8ppr5atm3TnkXdySptT2JS/iYaJDff7S+ILi1/gTzP/RM9GPQF4+NOHy565bltu6nMTfZv2ZdJnk3hq3lOc88Y5tExpyYwNM2iV0oomSU3Iys/iz0f9meNbHQ/AjA0zeHv125x7+Lks2ryIIAhoW7ctCbEJ+/15S9KhbmfJTn725s+YmzWX2CCWdvXaRcP5n735M05odQLPL3wegDo16/DqsldpUbsFw9KH7fW+RzY/kg71OvDkvCcZlj6sWkajHghvr3qbW6fdCkBMEEPDpIbRaVkAcTFxNElqwqNzHgXgqu5XVVjU+/S2pzN+8Xg2F2yOjkS656h7GNB8AAB9m/Ylb1NrNucvgvwiiqZlEd+3CZSGxNSpWenPUyOpLO4oWLKOHVMnE9u4bJ3Ektyy87E1Yvnz0X/m3dXv0rdpX9rUaVPh+gs7X8hrK14j0jBC14ZdWTP6auJa9aTJ6HsP6ZAIvuMaRUEQrAJygBKgOAzD3kEQpAL/BFoBq4CzwjDcUt7/N8Al5f2vCcPwrX29h2sUSZJU9YpLi6NTxXJ35lJKKSnxKRX6FJYUEl8jPvpl6aGMh6IBSN2adTkt/TR+2fuX3+gL9LbCbRw5/sjo8aDmg5ibNZethVsZ0WEEt/S7ZY/XZudnkxyfTM2Y/fuyecP7N/D26rfp3rA7ecV5FJUUkZqQyuzM2dE+zWo1o229tkxZOyXa9tWdV1rUbsHgFoMZ3n44j899nBkbZtCpfidObnMyfZv0Zfyi8czOnM20ddPo1bgXjx//OKVhKS8sfoFmyc34UdqPKkzJW7R5EVdPupqNeRsZ0GwA9x59L4mxiczcMJPeTXpHP8t/LPwHd31yF/E14qO7wsQEMZzc5mRGRkbSLLnZfn0GknSomrtpLudNPI/SsJSrIldRUFzAO6vf4bCUw7i+1/X8/J2fk5WfRc9GPVmQvYCCkgLSktO49+h76Vi/4z7v/9ry1xg1dVSFIOX77LPtn3HjBzeycPNCasfV5ugWR3PzETfv8nv/xW9dzIwNMzi1zamMOXLMbgOTeVnz+HTTpwCce/i5FfrkfLiWbW+spGbbuhQu2wpAXNNaNL62Z6U/07Y3V5Lz/pcjiWokhxRvyqRGfAxpfzpjl/4716whpl49YpK/XKw7Oz+bGtQg9qMM1l41kpTh9xLfujkNL+la6fVWhz2tUVQZQVHvMAyzvtL2f8DmMAzvCoLgZqBeGIY3BUHQCRgH9AWaAe8C7cMwLNnbexgUSZJ0YM3cMJP52fPZWbKzbBRLnVa8seINRhw+ghpBDZ5b8BwlpSUMbjmYbg27sX3ndjbu2Mjbq96mS4MujDh8BDuKdjBq6ihObnMyP+/2c1qltPrWf9uWkZnBlLVTeGzuYwD0b9qf1dtXc/eP7q7UL+NvrXqLv8z6C08NfYrGSY0pLCkktyiXIS8OoXGtxpzX8TzunnE3AJGGEc7qcBYrtq2guLSYrYVbKQ1L2VKwhenrp1NcWgxA94bdyczLZP2O9dRPqE92QXb0nw8d+1B017e92ZS3iReXvMh5nc7b5Qv6FwpLChnz0RhS4lPo3qg7AQEzNszgpSUvERJyZfcrubTrpfv9a5BfnE9RaVH0/ZZsWUJxafEhs/2vpB+OFVtXMG7ROF5a+hLFpcUkxSYx/dzpu/ylxWfbP2P84vFc3vVy8ovziYuJo0Fig/1+n8y8TI598diDblHrxZsX075e+z3+/780LOXBjAeZuWEmecV5PDrkUZ6a9xTPLXyOuBpxjO4/mqGth+7xL3kWb17M8q3LOb7V8d9qe/mtry1nx4wNNL25L7nT17P9ndUApN21798fw9IQAvb797bs8QvIz8hm5/JJ1L/kx6Qc14U1v/wrNZJ6U3twC2oPSqNGYtkz7PjkEz674EJSTj2V5n/6v+g9SnJ3sObyy8mfPZu4Fi1I7Hcbtfo2oe6p6d/42Q9GVRkULQaODsNwfRAETYH3wzDsUD6aiDAM/1je7y1gdBiG0/f2HgZFkiQdGEUlRYxdNJY/z/xzdN2f1IRUcnfmRkepQNmonoTYBGZtnMXmgs1A2YihwpJCCksKKQ1LAehQrwNjTx77ndfygbJRTP3H9adxUmPe/cm73/l+38T2ndsJw5Da8bXJzMskJT5lrzujLdmyhMvevoyU+BQmnDYBgMfmPMYjcx7hyu5XckX3K8gryquS3dU27NjAn2b8ibdXv82oI0ZxzuHn7NJnftZ8Pvz8QxZvXkxxWEzn+p15fcXr7CjawbmHn8s7q9+JTs14eujTdGvQjc0Fm2lcq/EBr1+SwjCksKSQhNgEcnbmEBBQEpZQp2YdALYUbGHZ1mU0SWpCQmwC/zfj/1i+bTmXdb2MeVnzGLtwLMVhMQOaDeCXvX5JcnwyzZObH5Ba+zzfh4KSAiYMm0Dbem0PyHt8Ex+u/ZCrJl211/AqIzOD8yeeT6uUVqzavirafkbbM/hFj18c0N28wjAk64l5lGwrpMkNZdlEzpS1bPvPSprd2g+CIBrc7HJtaUjm/f+jaMMOkno0IvXsDrvtV5Kby+fXXU/BokXEpZ9FjaQG5L33Bw5fMJ+gRg2ynnyGnPe2ENe8F0FcQOGSf9Hi/ptZO/JqCubNo0adOnT4+CPCMGT7629Q9PlaNv3lrzS84ZeknHo2mX/5lHo/bketvk0O2OdUlQ5UULQS2AKEwN/DMHw0CIKtYRjW/UqfLWEY1guC4AHgozAMny9vfwKYGIbhS3t7D4MiSZIq34tLXmTMR2MoCUsYctgQftX7V8TFxFE/oT47S3dSWFLIPTPuoU+TPtFFoEvDUrLzs6lTs040DNpZspM5m+YwN2suJ7c5uVJ3Lpny/+ydd4AU5fnHP7O93u713gtHO5qAgCCdIAhWRKPY/Wk0MZYYo8aSoFFjT2zRYFeCoiIIiKCAIr0e1yjX++2V7X3m98eG1YMDUenZzz+wM++88+7ezuw7z/t9vk/9WnrH9D4tStD6RT+SJHULknV6OjGrzSfcx0CURK5dfi3bWreRZ85DLVczLWcaV/W5isX7F/PgugcJSAFUMhUphpRuDwoAhTGF5JnzWFK5pNv2/0z/T0RhFCFChF+MxW2h2dlMZlQmRpURCAWwiy3FeINedrXt4qvar0jUJ9LgaABAISjIMmUBUG2rDqs4e2JI4hB+N+h3DEoYdNzvv49ueJT5FfPDVb4A9nbuJc+cd8Lv/U6/k2uXX0tZRxmZUZksuTB0Dy9pL+HtkrfpH9efGXkzeHP3m8zbPY/Vs1Yz+j8hFc9j5zwW/q0/rmPc3Eznwr1ETcokakIGAO7dFtrfLUMRrw0FkO4+C3mUGskfxG/xoErWh47d2kLnh3vCfaU8eDYyXfeKc5Ik0fnhGiwvvYJuQBKCeSrB9lYUUeWkPPYoAL7aWvZPPQ/ThXMQg72R/BpEy0e4NqxF028E3j27SbzvTnw1tXS88QYAgkpFry2bcZdZ6fignPhbBqDO7Fnxe7pxvAJFKZIkNQqCkAB8CfwW+OwwgaIXgfUHBYqWSpK0sId+bwJuAsjIyBhSU1Pzs8cYIUKECBEiROiO1Wtl8keTKYwp5Mo+VzIhY8IZY8QZIYTT72RBxQLWNa6jzdVGrb2WHFMOezr3MCxpGPcMvQejykiKIQWbz4ZckOML+mhzt5FvzkcQBKxeK981fsfa+rUsqVwSfhAKikG2tW4j3ZhOkv74rKhKksTOtp0IgkBRXNEZbxoaoTuSJEX+5qcJQTHIW6Vvsb9rPymGFAbFDyLFkML75e+ztWUrba42skxZ/HXUX1lbv5aP937Mvq59AKjlaiZlTqJ3TG+e3vp0WJ16gIkZE8mPzqfB0YDdZw//TqUaUhmRMoI2Vxtt7jYmZk7ErDbT6enEqDIet1LrPSFJEiM+GMHM3JncM/QeXt31Ki/vfJlHRj7CRfkXnbBxANz3zX0srlyMTqHDFXDx1aVfEaOJ4YqlV1DaXgqEVMOSJFEQXcDrU15na8tWNAoNfWP7HrdxSWIo3tC1aB/Ojc0oErQk/n4Igix0jfuanLQ+vw1BLUfyBlGmGoi/vh9tb5Tgr7MTe1VvPBWdODc1o0zRoxsQj3VZNZo+scRc1guZWg5A50cfY/2sEkXKcADU+Sa8e61oi+KIvaK751TrU0/R/vq/0QweizLjCtybXgWxEe3ZjyAFHDg+vwvkajQDL8NfuxVVipK4O57GurwauUFJ4u2DERRnxrzpuASKDjrBw4ADuJFI6lmECBEiRIjwk9nSvIVEXSLxungkJBSCAqVcedj2QTHIvq59ZERloFVoD9tOlETml88nRhuDJ+Bhbf1avqz5ko/O/4heMT1LtyOcOVjclrB6LNuUza0Db/3J6YHjFoxDLVeTZ86j2lZNja0GtVzN3FFzmZw1+ZBAY0AMEJSCbGraxPyK+ZR3lJNtyuauIXeRGZWJTJAhIR32e/v8tud5vfh1ALJN2dzY/0YmZ00OG5VHAglnFsVtxajkKlpdraxrXMfqutVMzpqMUqbksl6XndAH/8PR5mpDo9BgVBmx++y8VvwmMQgsAAAgAElEQVQazY5mzBozc/rMIc2YFm7rC/oIiAGanc0EpSCx2lhiNDEncfTHj9eLX+f5bc+ToE3A4rF0C/aMSB5BiiGF5dXLcfqdABREFzAoYRAjkkewvmk9i/YtwhP0UBRXxNNjn8bhc1DSXsLEzInolfqT9bZ+ErMWzyJWG0vf2L68uutVIFRO/sERDx73c/uCPr6o/gK9Us/tX9/OTUU3MT5jPLOXzKZPbB+qrdW4Ai7uHHInMZoYHlj3AAB/HfVXLsi74PiPr9FB6wvbETQKJE8AbVEcxrHpqFK+N4uWJAnXjjbU2VF0La7EU9J+aEcCGMekETUpE0Ehw/5tA9bPK1GmGIialIlzcxPOdZuQm0Ppf1LAgTIpnqDNh/nCPPSDut9DRI+Hypkz8dfWYzj/nwgyBcrEDvwtoevUvvxuoqbfjxSIRnS0II+LRvKoUGWbiL44H2Xc4edcpxvHPFAkCIIekEmSZP/v/78E/gJMANp/YGYdI0nSPYIg9AXe53sz61VAfsTMOkKECBEiRID9Xfu5YFFo0iYTZOHJdqwmlnRjOhlRGajkKpocTRREFzAwYSAL9ixgXcM6FDIFw5OHM6tgFuMzxgPQ4mzh470fs9+6H4vbwtaWreFzKWQKZuTO4JGRj5z4NxrhtOSOr+9gZe1KYjQxFEQXMCxpGF/VfsXu9t3h1et0Yzp55jwsbgvVtmrsPjsA8dp42txt4b4EBOSCnBRDCtf0u4Y6ex0F0QW0OFv4qu4rRqaM5LVdrzE2fSznpp3LB+UffF/Ouu+12P12llUtY0zqGCZlTUItV1MUV4RZY+5x7BFObQ74pRwOhUzBP8f/k1Gpo07gqELBzt2W3Wxv3c7nlZ9T0VmBVqFlavZUtrdup8ZWQ4o+hTZ3G96gl0EJg+gX14/S9tJu91sIqTiWX7z8iAH90w2n38nbJW/zr13/YnzGeJ469ynsfjtl7WXU2msRRZFZvWYhCAKVXZV8UfMFw5KGMSRxSLd+qq3V7Ovax+i00UddsfJU467Vd/FNwzdAqDAAhNLf3vzVm8ekf5vPhsvvCis4XX4Xsz+fTYYxA7vPHq7UmRWVxUczPkIpU/L8tufZ0rwFi9tC79jePDjiQdrd7Vz0WUjltPiCxeFUvuPJgQpnAKZpORhHH9krSpIkmp/YTLDLi2laNroB8Ti3tqLONaHO6J7q5djYRNcnIXWaoJQIWOpRpiQjN7owjstEN6DfERcVnBs3UXv11RhnPAiytG77BJUMyddd4RZzeS+0RfFn3CLF8QgU5QCf/PelAnhfkqRHBUGIBRYAGUAtcKkkSR3/PeZ+4DogAPxekqRlP3aeSKAoQoQIESKcqWxq2oTdZ8ekNvH8tufZ0baD8enjyYvOw+q1YlAa6PR2UmurDXs3pBpSaXG1hP0ZLs6/mChVFIv2L6LD08GEjAnEaeNYuHchATFAmiENo8pI/7j+nJ97PjGaGFIMKT+rUkmE/10sbgsv7XiJK/tcSY4pBwg9rKyqXcXGpo0s2r8IgDxzHvHaeLa3bscT9HBh3oX8+ew/4xf9PLP1GbJN2dh8Nr6p/4ZiS/Eh5zGrzXR5u1DL1Xww7QPyo/MJikFe3PFiuAqeXJBjUpvwBr1hlcLEjIk8O+7ZE/RpRPgl7Oncw+ObHidBl0CGMYPVdasp6yhjcMJgbh5wMymGFLxBL2vr1zIufRw3r7yZZmczDwx/gMlZk4nWRB/zMTU7m/nzuj8TEANMzZ7KyJSR/Par34ZTpABu7H8jLa4WllYuJdecy51D7mRk6kh2W3YzZ9kc/KIfrUKLVqFlUMIg2lxtXJR/EQ6/g6e2PHVSUpGOJZIksa5xHYv2LcLms/Fd43cATMqcxEMjHgobTf8v8l7Zezy+6XEAlly4hPfK3mPRvkV8d/l3yGXyX9z/vd/cy8qalbw88WWGJg1lTd0abvvqNrQKbTgwJSDwznnvMCB+wGH7OVAkAmDbVdtQyg6vWP45uHa0Yl9TjyrdiDrPjK4onq7F+3GsayTuun5oCo7u2vW3uhDdgR/1ABJdfhr/sgGAQP2bBJpryf1iOYL86D9z6+IlqPPzUOcX4C5pR3T4caxvJNDmRndWIpo8Mx3zK9D2jyP2171/vMPTkOOeena8iASKIkSIECHCmUh5RzmXLbksrBwSEPjrqL8yM29mj+2bnc1sa9nG1OypYbPPDm8HUzKnIAgC/qCfh9c/zIamDTh8DnLNudwz9J5jWk4+QoTD0eXpIiAFupWW3tu5lxxTzmEflNrd7Tj9TpINyWxr2UZFRwUX5F9Ah7sDrUJ7SJU1d8BNi7OFVEMqSrkSm8/Gno49LK5czGf7PmPVrFVnbHrPmYDT78Tld/H4psdZUbOCGE1MuIriD42AD+Zfu/7FP7b/AwilIS6YvgCNQnNMx/bwdw+zcO9C0gxp1DvqAdAqtNw//H56xfTCHXAzKGEQEEr5Pfg73exsJloT3aMiRpIkzvv4PHLMObw44cVjOu4TgTfo5cOKD3m37F0aHA3hYC7AyxNf5pzUc07yCE8+FreFcQvGMTVrKk+e+ySL9i3igXUPsGjmorDa55KCS360n6AYpLyzvJtfkCRJTPxwIq3uVrQKLRfnX8w3Dd+EFJizvqLd3U6iPhFf0HdUwbr+b/UHYMfFWxFkAoJWcUwUMq7iNjreL4cfhBbSHh+N5Y3dBG0+Em8f/IvPcQBJkkCSEGQyupbswfnNMmyLXiHxvj8RM2fOL+7f3+Yi0OJCUxgDMgF/kxNlsj7sqXSmcbhAUWQ5MUKECBEiRDhB2Hw2trVso6S9hCX7l2BQGnhizBMICMTr4imILjjssUn6JM7LOQ8AjULDsORh3fYr5UoePefR4zr+CBEOR09pX/nR+Uc8JlYbS6w2FoDhycMZnhwyII1S9byKrFVou6VKRKmiOCvpLERJ5OO9H7Oncw9nJ5/9M99BhGONJEnYfDbcATdx2jjmLJvDns5QxaJLCi7hoREP4Rf92H12otWHVxpc3+96ZhfOZnvLdm776jZe2P4C/1f0fzQ5myiMKfxZY2twNLCtZRsjUkbQ7Gzms/2fcUnBJTx49oN8vPdjVtev5q4hd/WYmtNT4PNIpu6CIDAmbQwL9ixgT+eeI97njzWegAebz0a0OppWdyuiKGJQGX5UlbWmbg0ralaglClZuPf7ukN/GvYnLi24FIffQaW18pA0sv9V4rRxLLtoWTi4fSDQU2wp5pH1oRTvIwWKPtn7CdtbtxOrjeX14teZP30+fWP70uXp4pVdr9DqbuXG/jfyeeXnvFv2LgCjUkdhVBnDVeN+SlqjDBlNf9sEQQmZToF+eHLI++dnBEIkUcLxTQPWL6pRZURhnp5D64s7APDV2fHV2VEfpZLoaLAtXUrrM8+iiIsj7je34K/cgW3RK+hHjyZ69uxjcg5lvA5lvC78WpVqOELrM5eIoihChAgRIpy2uPwurF4ryYbkkz2UI+IP+nEFXFy6+FKanE3IBBk5phz+NOxPhwR8IkSI8NNocjQxeeFkHhzxIJcWXHqyh3NacMC3o9XVym7Lbra1bGNzy2bitfFc3fdqzko8q0eVgSfgYWXtSoYnDSdeF99j3zafjfL2cv626W/dUrcArii8AgmJywsvJ9uU/ZPHPXfDXP5T8Z/w66v7XE2mKROL28IVhVccVlHR6mrl8U2PU2IpQavQUmOrISAFUMlUmNVmEGDh+QuPm89VtbWa67+4HoD50+cTr4vHF/T9ZFP5wyFJEs9ufRalXMmvsn7F89uep7S9tJs32A95deKrjEwd2eO+l3e+zEs7Xgq/zjPnkR+dz/8V/R+55txjMt4znaAYZPJHk8mLzgun6G27ctthi1McUPnIBTlBKcjNA27m1oG38sj6R/hoz0cALLtoGQqZgss/vxyL28KVuVfwx3P+hBQUEeQ/Xn1LkiT8TU4a6mug2YvyOydRUzLx1TnwlLYTc1kvdIN+umn8gZL16oJoYq8oRKZR4K220vbKrlADmUDCrQOPSbDFV1fH/qnnIahUSC5Xt32FpSUIsjOjCtmJJqIoihAhQoQIpz3+oJ/3y99ndd1qam212P123AE3twy4hd8M/E23tjtad1BlrWJm3kxkggyHz4FOqQtXZ3L6ndTaaukde2xzziVJwul3sqJmBRubNlLWUUatrZbgf2s3PDP2GUaljEKn1P1ITxEiRDgaEvWJqGQq6mx1J/zcpe2lvF/2PtNzp5/yaqZKayW7LbvRKrS8tOMlam21+EQfAEqZkqL4IootxVz3xXXMKpjFH4f9MRzI2NK8haVVS1ldt5o2dxvZpmz+Pubv3aomSpLEu2Xv8tSWpxAlkRR9CncNuYuKzgpWVK/g9sG3c1Wfq35RmsudQ+7E5XehVWhZXbeat0rfCu97acdLjEodxaSMSUzImBAO+mxu3sytq27FHXAzOXMyQSnIwISBTMuZxpLKJXy27zMeGvnQcTVDzzJl8fKkl7ly6ZWM/zBUcEAuyFl16aqwqu7nIEkSVbYqFu9fzBslbwChVD29Us+kzEmkG9NpdDTS7m5nbPpYlHIlT21+ioV7Fx4SKHqr5C12W3azpn4NI1NGckHeBWREZRzXsulnKnKZnNmFs3lh+wvhbTW2GvKi8454XIwmBpPaxKamTVzd52qWVYXsfOeOmhuuqvfZBZ/xyL//wHnLirD5a7GtqiPmknx0A3sO8oguP+3vl+OrtyN5ghwIVWmL4ogal4EkSrQ8vQX7uga0A+J/VFXk2NiEt9KKeXoOcqMKx4YmFPFa4q7tG762VWlG9COSkZvUaPvEokz45fMd0emk4fbfI1OpyFm2DEEuw71zJ/W33gYQCRIdByKKoggRIkSIcNJodjbj8DmYt3seFZ0V3DbwNuK0cTQ4GtjcvJkubxej00azZP8SNjZvDB+XbcqmzlZHYUwhZo2Zbxu+JVGXSKIukb1dewmKwfAD0MzcmShkCj6v/JwkfRKJ+kSaHE3U2msBuK7fdZS0l7C3cy99Yvvw1LlPoVfqe/ShgJBfw8E+FPs693HXmrswq82UtJfgDXqB0KSvMKaQwphC9nbu5VfZv2JG7ozj9XFGiPA/y4xPZ1BlrSLblI1BaeD6ftczIXPCUR+/o3UHQSl41Kk0B6suDniTnIo0OZp48LsH2dC0odv2orgipmRNoSi+iMKYQjQKDZ6Ahxe2v8A7pe8wInkE4zPG80H5B1RaK9EqtBTFFTEuY1zYuHfB9AXkR+dT0VnBa7teY1XtKorii5iaNZWL8i9Cp9QhSRLugPu4BMc7PB2Ud5Rj9VqZt3sedp+dBkcDckHOuPRx/G3037hrzV2Utpfy6qRXe0z78gf9h1V6HGtW1qzkjtV3hF9f1ecqzs85n/3W/UzPmU5FRwUralZweeHl3fy+JEmi0lpJnDYOk9pEq6uVRfsWsap2FSXtJQCMSRvDLQNuYUnlEmYVzCLHnNPjGB7b+Bgf7fmI0amjUcqVTMycyOCEwUz8cCJx2jjitHE8PubxsGl9hJ9Hp6eTSR9NCs8Hnh37LBMzJ/bYdtJHk2h2NvOvSf9iefVyPt77cdjDa/60+fSN+z5YF3T4aJq78ZA+dIMT0BTGoM41I9eHvs8H1D4A2v5xqHPNOLc0IyjlxN/QH0EudGunH5qEeWYugkKGJEp49nbi2tSMMs1A1LgMRF+QxkfWQ1BCPzQJTd9Y2t8swXR+DsZRR65m9kvwlJfT9NBDeIp3k/7ySxjOPTe8r/GBB9AOGED0pRE16c8lYmYdIUKECBFOOP6gn4rOCgQENApNaNJTPh9P0EO7uz08wVXJVBhUhrCx6cEkaBM4L+c8drXtoldML+4bfh/ugDscsJm7YS4ralaQZ86jMKYQpUxJnDaO9Y3rWde4jihVFAqZAq1CS5w2jmR9Mma1mfkV8wHINeVSEF3AsupljEodxfj08by882V6RffinNRziNfFY1ab+aD8A1bVrmJI4hBmF85mUPwg3it7j3fK3iEgBjCrzZydfDZ9YvuQa85ldOroM66MaoRTE1+jA3+DA+2AeGSqw1d8EX1BrMuq8Dc6UeeZiZqYcUZ8Rw+YEcdp4wiKQQqiC3h9yutHdawv6GPIu6EA0QvjXmBcxrjDtnUH3Dy28TE+3fcpALN7zabKWkW7p51PZn5y2ON+KZIk8a9d/2J763bGpY9jQuaEQwIJX1R/QUVnBZ6AB7kgZ1jyMEanjuaR9Y+EfWb+fu7fyY7KxqQ2HdFX543db/DM1mcA6B3Tm3NSz+HGohvDPihbmrdw7RfXMjJlJFqFllW1qwD4/eDfc22/a8PKzRONJEmUdZTx2f7PeK/sPUaljmJj00YuL7yce4bec1LGdDAdng46PZ28vPNlvqj+Irx9bNpYVtevDr8+J/UcXhj/AkqZkld3vso/d/wTpUzJ2PSxVHRUUGuvJdWQyuTMyWSZsrgw78KjupaL24q5YukVABiVRux+OwXRBezp3MOimYsOG2CK8NM5cF+CkBrumr7X9Pg3GvbeMC4tuJQ/DP0D83bP49mtoQqOSfokvrzky25tHesb6Vq0HwBNn1h0A+Lo+KAivF/QKtCflYjjm4bwNt1ZicRcEgqSSgERZEI35ZAkSdi+qMG+ui60TyVH8gQOGac8Wk2w04sySYe/2RXelvi7wci0R5+o1Pr0MzjWrCF57l9RJicjMxgQNBo65r1Bx9tvY5oxg7jbbiXQ1ITtixW0v/YaosNB0iOPEH3ZrKM+T4SjIxIoihAhQoQIxx2Hz0GxpRhJkvAEPTy/7XkqrZXd2hiUBtKN6WgVWs5JPQeVXMWEjAkoZUqWVy8nWhNNrjkXX9BHtDqaNncbA+IH/KiXwwHPjYOx++wYlIYe9zU7mwlKQVINoZWwt0re4rmtzxGQDp0gAegUOsakjaHYUkyDIzQJExC4MP9Cfjfod78ohSBChF9Cywvb8Dc6UWVHEX9jUY/pA4EOD5a3Sgi0fO/tEHNFIbqinr1mTieanc3c8fUdPDTyIT7d9ynvlb3HDf1v4PbBt/fY/uktT7Nwz0L6xvXF4raEvXT0Sj039L+BQQmDKO8oZ2PTRoriixgQPwCbz8a/i/9NsaWYJH0Sfx/zdwbED+CF7S/w5u432fDrDT1WvToWzFk2h+2t24lSRWHz2VDL1czMnYlJbWJI4hBW1Kzg470fIxfk6BQ6vEEvPtGHVqHFE/AwLWca9w6796hLmEuSxPqm9SgEBUOThvZ4/3x0w6Ms2LMgXLnxSL43JxpJkrhsyWXs79rPyJSRPHD2A4dU0TvZSJLE++Xvh9VZALMKZpEXncc7pe9QZ6/j3mH3opFrmLthLn3j+tI/rj9Lq5bS4elgTp853DHkDhSyn+YkIkkSH5R/gMVt4TcDf8Ovl/6a0vZS5vSZwx+G/uFYv83/aRodjbyy8xU+2RcKIv9mwG+4ZeAt3dq4/C6Gvz+cO4bcwXX9ruOz/Z9x/7f3A/Dvyf8+xMew9ZWdSJ4Acdf3R6ZXggDePZ2oskx493XS/k5ZuK2mbyyxlxciKI4ucOsqttC5oALJH7qmY2b3QtMnlpbnthHs8KAtikOmVxI1IYOO/1SgzjFjGJVyxMWJgxGdTvaMHIXk9aKIjyfY1QUyGVFTp2L99NNwO1VeLv66eiRvSJGVs3Qp6pyf7msW4ceJBIoiRIjwP4/dZw+rSk5VekprOl04MDEv6/h+kmJWm7n7rLsxq824g24EBEakjDhsVaNTAU/AQ4enA6PKiEquwuFzYHFbaHG10C+uHzGaGIJikHWN6yhrL2NS1qSIRD/CScXf5qLl6a0o4rQELG5iZvdCblajyoxCEAREdwBBIdD+XjneKiuxv+6NMtVAyzNbUOeY0faNRZmsR5moP9lv5ZiwuXkz131xHQC3DLiFG/rf0C3QvL11O3OWzSFJn4RWoSVGE8P49PFMyJzAw9893C1FK14b380QWCPX8MSYJxifMT68bX3jem768iZGp47m2XHP/uJ7uCRJfNvwLXafnVxzLu6Am6uWXUXf2L7MmzKPBkcD96y95xCj6KlZU3l8zOPIBBm+oI/F+xezu303ZrWZi/MvDnucHEv8QT8trhaS9ck9puqeTNwBN5IknfJ+cJIk8ejGRym2FPPvyf/GoDIQEAPM+HQGdfaQ79bQpKE8c+4zmDVm/KKfNlcbSfqkY6LcqrPVUe+oZ0TKiF/cV4SeOWBWDVB8dWgxDUIV8WpttUz7ZBpzR81lZt5M2t3t3LrqVh4959FDzMNFT4DGv6zHeG46pilZh5xHEiWaHt2IFBBJuGUAigTdT65kFrT5CNpDqfsHDKiDTj+SP4jCrPlJffWEddEiGv94L0kPP0zLk092M6WOuXoOhrFjqb02dP82jB9PoKUF7ZDBJN133y8+d4SeiQSKIkSI8D+BO+DG6XcCsLN1J1tatiATZPSN7cvLO1/G4XewcMZCYjQxJ3xsTr+T98veZ1DCIPKj87F5bdh8NrRKLb6gj/WN63l+2/PcO+xeZuTO6HFy6/KHflCP18S33l6PTqn70c8nKAYpthQTp43jvbL32NqylVp7LU6/k+v7Xc/Y9LGIkkh+dH64dGuECBGOHZIk4dzYjCAX8NbYcG1tIemPw7C8sbubYkiVbcJXZ4dAaIU4alImURMyAGh/rwx3sQUAdZ6Z+Bv6H3qi05TyjnIuXRzyrMiPzufJ0U/S5m5jUMIg/rL+L3xV9xVfz/r6kIWDA0qaN3e/SUF0AXcMuYPyjnI+KP+AKVlTyI/O7zFl68M9H/KX9X9hVOoockw5TM2aSl503o8uTNTb61lTv4Y0QxrpxnTWN61na8tWvqzpnm5iVBpZetHSsOGyP+inxlZDvC6e9U3ryY7KpiC64IxII4wQwuq1stuyG5vPxtj0saf0IleEI/PDQNHOOTu5Z+09fFP/DRt/vZGNTRu5YcUNvDb5tR81xHdubqZz4V7ib+qPOqdn83VXcRuCQoa296mncHaXlNB0/wOIdju5K7/EsWYN1o8/IebqOUj+APqzhwPgqaggYLGgHzkyck87AUQCRREiRPif4M7Vdx4ywT6YrKgsUo2pdLg7mJQ5iav7Xs2Gpg18VfsVbe42+sT2YVjSMAYmDESG7JBVUr/oRyEoKGkv4eHvHubRcx7tVvnlYLa3bmdz82bml88/bKnagxEQyIvOY0zqGIwqI96gl2pbNavrVpNqSOUf4/9BiiHlkNXEZmczO9t2YlabSdIn0eJsYdH+RXiDXqLV0VxeeDmZUZmUtpdSaa3k7OSzidHE8Nn+z3iz5E2qbdWkGlK5qegmAmIAv+jHpDYRrY4mWZ+MzWdjadVSVlSvoN3TDoQqt5yVeBZ50XlEq6O5rv91KGUnxhg0QoT/Vby1Ntpe2hl+rc4xEX9TEe4SS7fUgwP7vJVWtP3jiLmsVzgNwdfowF1swd/sxFtpJeWhET959flk0JPHRk94Ah42Nm3koe8eCt+vDnBR/kU8MvKRYzqu57Y+x/yK+bj8LiQk4rRxvDDuBXrF9KLKWtXtd6Kio4K719xNta36kH7kgpw5fecwLXsaVbYq6u31jE0b+6MVk05XJElC8gWRqbunULnLOxDdAXT94446deZ4IfmDSCLI1KH5gCRKIBB5iP0fQRJD31HPnk6cm5uRfCKa3jEYz0075DsgSRLePZ2o88zhsvU/DBRd1usy/lPxHwB2zdnFgooFzN04ly8v+fKIvmGBLg8tz21DmaAj/uYBp+y9uicbANeWLbT945+4Nm5EpteT9MgjmKZPO0kjjHAwkUBRhAhnEHW2OmQyGSn6lKOepBxQgChlSpINycgFOVGqKFwBFzqF7rD9iJKIJ+A5YdJtu8+O1WslUZ+I1WslThuHX/TT7GzG7rOTpE/CF/SRoEtAJsjY1baLBkcDY9LGsLZ+LfesvYcoVRS3DryVdGM6CpmCQQmDqLJW0eHpwO6z81rxayhlSiQkSttLUcgUBMQABqWBoBTEHXCHxyMX5GRFZVEQXUCvmF6UdZSxum41BqWBLm8XQSlIn9g+3Ng/ZPJZEF3AGyVvhH1x9nXtC6cxmNVmJmZOpCC6gIAYwKQ2YVQaafe0Y1AZQg8S0b2QC3JKO0pZW7eWso6ycFn1g0nSJ4V8cTSxyGQyntv6XNgc+odEqaKI1cbS5GjCE/SglqvDVTh+SFFcEaNSR/FO6Ts4/I7D/o1UMhXnpp9Lij6F98vf57FzHuNX2b/6qX/qCBEi/AKsy6uwr6kn4bZBSN4gigQtcoMKSZJo+9cuFGYNUVOyEJQyZDoFgVYXivie0xAOVLyJu74fmvzok/Bufhzn5ma6llahjNfib3WhiNVimpKFpuDHx7uvcx8XfnYhEErPGpk6kilZU46bQmNz82Ye3fAodfa6cPVFgA+mfUC/uH7hNN1aey03F93M+IzxPLftOb6s+ZKr+1zNHUPuOOXSuA7GV2fHvdtC1MRMBOXPD+JI/mAoJbLaSty1/ZCp5SgSdHQt3o9zfRMA8igVsVf1QZV+4tWpkiTh3ddFx/xyRGcgdJ0ZVXirbSgTdcRd1w+54cj+eRFOb/wWN5bXdhG0hq5luUkNcoFghwfj2DSMY9Jon1+B6VdZeMo7sK2oAcBwbhrmqSFPnRXVK/iy5kuWVy/v1veay9bw2q7XWLh3IRuv2IggCAQ6PCATUJjVePZ0YltZQ8zsQjo+3IO/wUHi7YNQxJ5cdZmvrg5Venq3baLPR+vjj2NdvARVdjb6YUNJuPtuGv90H9ZPPkGRmEjMnDmYZ12K3BhRmp9KRAJFEc5IDpQLNalNGJQG5DI5W5q3UBRfhF75870WAmIACemUUUU0OhopbS+lxdVCl7eLV3a+AkCCLoHLCy8nKyqLPZ172GXZhTfgpdHRiDfoRSbISDGkoFFo2NW2q1sABECr0OIOuNOVMW8AACAASURBVOkf15+nz32a7a3bmZQ1iTpbHXX2OmrttXy671M6PZ18esGnJ8RX5rerfsvq+tUoBEXYULinwEayPpmx6WP5oPwDAGSCDFESidfG8+H5Hx6VqbA/6Oe14tdoc7cxLn0cZyefjdPvpMnZRJOzidL2Utrd7dTaa6m2VtPmbkMuyBkQP4AkfRKdnk4Kogt4u/RtJLrfSxN1oUCXJ+jh4vyLufOsO3/W5xcQAwTEACq5CqvXik6po8ZWw47WHby448VDqoRNyZrClb2vxBf00exqxhPwMD1nOjqljk5PJ++UvkOnt5NhScPwi36e2vwUOqWO/yv6Py7IuwBBEMKeEweqeHV5u+j0drK3cy9GlZFhScPCn68n4EGj+OU56xEiRDgyviYnggDKpNBvW/PTW5Cb1MckXUx0+Wl9cQdSQCTpnmHhksnHCtHlx7mlBe/+LrR949D0ig49bP0A1642/M1OjOekIqjleMo6UCTokJvV2L+uw/51XbitPEZDsMODPEpF0r3Djmpl/e2St9EoNMzqdeIq5ljcFj6v/JwVNSvY1bYLAYG7zrqLNEMav1/9e/466q9ckHcBAA2OBh767iHmjpp7RFXB8UCSJJA4aoWCFJRouP9bAGKvDPldyU3q8PHeWhue8g7kUSp0gxORqeSIviD+Bgfq7O/NtEVPAMtbpfiqrN36F9RyJG8QVbYJw9nJWJdWItMpSbhtYFihcayRJAnX1lY8ezoI2nwYzk7Gs6eTgMWNr9aOTKfAMCoVb2UX3ho7moJoPBUdyE1qjOemoe0bGwkYnSF4q624drShzozC1+jAtb0VKSBhGJmMKjMqHEzv+mQfzs3Nh+1HUMlJ+N0glHHfB3XGLRiHxW0Jv14wfQHPb3ueDk8HC85fgLfaimXebiSfiGF0Ko7vGiEoha+J6Evy0Z91Yu8PB2Nd8jmNd99Nxhvz0A4ejKe4GPvXX+Ncvx5vaXc1a/Lcv9L0wJ8xTppIyhNPINOd2n5h/6tEAkUnEX/Qzyu7XmFz82Z8QR+FMYUMThxMi7OFVbWrGJgwkCGJQ/AEPEzImHDKm+6dCjh8DlrdrXxQ9kG4vDV8H/iYmj2Vi/MvZl3DOn7d+9fhShd1tjqaXc0MTRraY79bmrcwd8Nc6h31eINedAodMkHGpMxJJOuTaXA0kGXKYkLGBLJNh3feP1z1pYMJikE6vZ2Y1WasXivugJuS9hKWVS3D6XeGVSA723Z2U5UoZUpuH3w7a+rXsLl5MxBKVZKQwlWZ9Eo9roCLLc2h62dy1mTyzfl0ejsRJRG1XE2jo5F6Rz1r69f+6FjjtfGcnXw2QSlIl7eLRF0ifWP7Mix5GFGqKNo97XgDXvrH//yHloqOCi5ZfAkA1/S9BkmSeLv0baZkTWFkykiUciVWrxWZIGNN/Ro2NG4gzZhGtimb3jG9yTPnMShhEPG6Y1/BR5Ik6h31mNXmQzx3Gh2NWL1W7D47W1q2kKxP5sL8CwmKQfZ17TtuvhF2n51mZzNd3i4EBFINqSQbko/5eSJEiHByCDr9uLa04Ku3h7yEFDIMZycjOv24trdinpmLYUTKMTmXu6Sd9ndK/5suIRDo9CJTyzGdn4M64+ctEojeAI51jTg2NCHafN32yWM1JNw8ALlRhSRKNP5lA5IngCJOi35oItZl1d3aK+K0xFxeiCAXUCbpce1qo+P9cuJu7I8m91CvDss7pQgKGbGXF/6ssR9rvm34ljd2v8Gm5k1ASBG69MKlKOXHf0FK9ATwVllD5atlAt79VkS7L7S9xkbQ6kMQwDghIxSoU8jwNTqQG1XIjSp8TU68+7sItLsJWn14Sr9P4zvwAKsfloR5Ri5dn1eGlUAAglKG3Kwm0BZaqIr/zQCUSXp8NTasX1Tjb3QQM6sXUlDCuqwK47npBFpdSKJE9EX5CHIB924L7e+WoUwzEDUpE22vGCS/iK/RgSrDiCAIeGttKGK1yPU9f55SUMJd3IZMq0DTq7sHn+QPYnmjBG+lFXmUCtEdCFd9khmUGMeloxuYEO77wBzPs68T6/Jq/PUOBKWMuOv6dQuERTj9kIIiTY9vRvyvmTNyAU2emajJWWFj53BbScLxTQPWpVWhpjEadAPjCdp8+FtcBCxulAk6VGkGEATM03O4bMlllLaXkqJPodHZyAtjXuCZjU+RpcrggdobCLR7QADJJ4bPYz4/B2+tHUW0OqQSPQ7zSX9TE87vvkM3ZAiqrKwjtq259lpc6zcQdd5UvHv34d27FwBFSjKJf/oTqowMqmZeEG4vj44me9GnKBMSjvm4fxaiCK0lkPQLFlk6qiDggYTex25cJ5FIoOgk8sneT3jwuwcpiiuixdVCi6slvK93TO9uFYJ0Ch2PjX6MCRkTTsZQTwvWN67njtV3hA2Lz04+myGJQxAQsLgtdHg6WFGzItw+25SNUWWkxfn9Z98ntg9PjnmS0vZSdrXtosnZhIDA1patyGVyxqSNIUmfhN1np85WxzcN3yBKInJBTkAKoFfqWX7R8rCp5A95deerLNy7kKUXLf3RkqV/XPtHllYtPWS7QqYg35wfTsHqF9ePadnTiNXGYvVaUclVZJuykSSJ8o5yfKKPdGM6Grkm7CnzQ44UuAqKQR5Y9wAxmhisXisra1dyXb/rGJ48HEmS0Cv1tLpamV8xn63NW7H77QDEaGIOUbMAXNn7SmpsNdh8Njo8HcRoYnjq3KeOnHctBnhi0xPhoN+qS1eRoAv9oNh99sOaIR9tQC5ChAgRTgeCVi++ekcoVazNTefHoQm4TK9AlWnC3+wk2OVBplGgyjIRc1nBIb4uPxdJlOj6dB/usnYEuYxgV0jFqUzWH6Lk8Lc4CbS50fSKRlAePkWqc9E+nOubUOebMY5NR50Vhb/Ribu8A/uqWmIuL0TbPw7vvi4s83ajH5GMa2tL+CFJPzwJX6MT87Rs1FkH/a75gzTO3Ygmz4xuUAL2NfXEXdsXmU6JFBBpeGAdAKmPnnPMFVK/hPWN65m3ex4XF1zMr7KOLmXX3+rC9mUNijgtUePTj/iZAzjWNeDc1kr0RfmoUg10Ltx7qPJBBogh/yplqiHkU7W3C5leiTrXhHuXBUEtR5Nnxl3yfWBIEacl0OmBoIRuUAL+VhfyKBWespCCKGjzYRiVgnF8BoE2F66dbfiqbaE2FZ3oz05GdAdw7wz59cXO6YO2T0iheqTfdOemZuxr6gh0eYm7rh/2r+vw7utCPzQJVVYUnR/uAULm7VJARKaWox+ejLZfLIEWF+3vlYWDVdq+sRjOTQsHQA98T01TszGMTsW+th77mnqiZ+ai7XdkfyRJkvDV2ml7dSf64clEzzwzfaTONKSAiOO7RtTZpnBKoyRKWJdU4viukZgrCpGb1SgTdMg0h7/HSpJE2yu7kBuVxF7Zp9s+55ZmOj/aG36d8peRPLfred4oeYMnxzzJPWvv4U7jzbza9RYTrMO5pWUWcpOK+JsH4NrZhqesI6RW63P8TKklSaLj3/+m9amnARA0GhLuvAPzpZfSeN99yLQ6VOlpIFfQ8eabqDIzcRcXQyCk+JfHxKDKzsZ88cWYL7qwW9+ubdsRlApU2dnIDYZDzn3SWPkwfPssXL0Yssf8tGMDPtj2Fqz6K8Tlww0r4Qx4DokEik4ioiSytWUrQ5OG0uZqY2PzRvLN+eiVetKMaSytXMrjmx7nD0P/wDul71Btq2Z2r9n8bvDvjhhoCIpByjrKaHO1MTx5+GmjRDoQ3PAEPegUOnLMOd1SvFx+Fxa3BbVcHVYC/XDftE+mYVQZuanoJkwqEyNTRnbL5feLfpbsX4JWoUUtV3P/uvuRJInRqaNxB9ysa1yHX/QfMq6sqCyiVFE8OOLBQ4yJrV4rCpkChUzBxqaN3LrqVgbED2BEygiu6nMVbr+bN0veZNG+ReFAyqKZi8gx5+ANeqmx1ZBnzgsbD3+05yNW1a5iXcM6cs25nJV4FtmmbBQyBVHqKM5JOQeD6hS6qf6ARkcjDY4GhiYNZWXNSvZ37Uev1BOvi+c/Ff8JK5yGJw/HHXBT1l6GUWXkyt5XUhRfRP+4/uiUOoJiMOzd8Ic1f2BN/Rrkgpzr+l3H7wb/7mS+xQgRIkQ44Xgru7C8URJWMhzANC0H4+jU8OsTESCXAiKefV1IviAd75cTNTED4/gMnJua8FbZcO9q40C2rbZ/HPqhSahzzd0CMr56O63/3IGmVzRx1/br3n9QpOH+dd22yc1qEu8cgr/ejuWNkpDx9qzDFwmA7x/wDxB3bV80vWLwVltpe2UXAAm3Djwp3jbHkq6llTjWNgAQfUkB+rMSe2wniRLWzytxrGsMb1Mk6gh2eJD8InKTGtOvslDnhRa5PHs70Q2IR5DLkIISnrJ2nFta8JT/YBFIAG1RPKp0I9o+scij1SCB6PQjN4ZSraSASPu7ZUiihGFkCtrCnqtmtr66E1+VLfw69sreaPvFHfXnILr8tL6yk0Drf9PoD6TKid8/y6iyohAUMrz7ugCIuaIQd0k7nopOYi7Jx9/mxrayBkQJ84xcAhY3jnWNGEalYD4/9+BTHjUtz29DblITd03fn91HhBOH9YvqbumsP8QwKgXT9Jyjvs8ezthcEkN+cb7q0Hc+9uo+KHpF8V3Dd4xOG830hdOQdYrUqBq5tvUCZvumk3j7oBOWwhi02Wi6/37sX64EQNBq0Q8bhmPNGuSxsQTb25Hp9YjO0MK8PDoaRUIC/oYGNP374S2vIGfJYhSxJ6G6mmUfBNyQ2O/QQI0ogqcLdrwPPgfI5GBrgt0LQRLB+997UHQWjPwtpA2FLfNgwkMQ8ELNOpApoPcMkMmgbDGUfAq2RrA3QWcVZI2Gmf8M9XEGEAkUneIExSBymZwmRxMzF83EHXAzb8q8Q1KkREnkztV3YnFbqLJWYfOFvuxahZap2VOZkTuDXFNuj0qXk8lD3z1EsaWYrKgsfEEfa+rXhPcZVUYu63UZKYYUNjVtYkXNCkQpNFEuiC6gd0xvru9/PVlRWby882Ve3vky7573LgPiBxzVuf2iHyS6ybvfKnkLT8BDlikLuSAnz5xHlinrqN/PqztfZXn1ciqtleiVejwBD6IkMjlzMi2uFra1buOJ0U8wNXsqt311G2vr1xKtjmZEygg0Cg0f7/2YzKhMhiQO4c4hdx6iADpdCYgBStpLCIpBBicOBqCyq5I/ffsnSttLgZCXkAxZ2H8IQmlz9w2/j9mFs0/KuCNEiBDhpyBJEu5dFpQpepTxx2aRpuXFHYhOPzGXFiAFRCS/iDorCkGrOKnKyY755bh2tCGLUoXTxwyjU5Gb1Xj3duGttCL5gijTjcTf0A+ZWkHA6qX5b6EUq6iJGURNzDyk38ZHNyLafRjPTQO5gG5APMrEkP9S0OZDUMvDFaYOhyRK+OrseKus2JZXo0jUITcoERQyPBWdABjHp2OanHVaKlDd5R34/uv3gwRBhw+5WUP89f2QaRS4drbi2dOFMkmHa1srAYsbyS9iGJWCpk8snQsqUMTrEJ1+oiZkoOkbe3Rp8U4/Mo2CQJsLSQJV8s/3fPwhoieAr9ZOoMONtl/cz3ogDnR4aH+vDLlRRexVvQnafbi2t6EbGI/crA6/P8+eTixvloSCSHIBXVE8MZeFAo9Bu4/2d8vw1YTm0IZRKZjOy/5F/keWt0oIdnpI/P2Q8DZfnZ2g048q3XjYlLgIR4ckSbi2tYIkoc41I9OHrvODfbVEXxD3jjZcu9rQD01EplFg+7oORAnRHQBBQKZX4quyoojTokzUdVPMRU3KxDg+/ZjdK/xtLro+2493bxeqrChir+oT/i68//Hr/M3+PAB3N1zNJVOuQj+k5yDwsUb0eKiaeQG+hgYS7rgD88UXIYki8uhoWv/+FB3z5gHQa9dOJJ8f7549qDIzUMTGIon/XcwIBBBUJ9iXS5LgP1dC+ZLQa0EOxiQYeAXIVVC7Aeo2hgJEP0SmhD4zQBcL2mhIHgCrH4fmXd+3EWShQNIBcsaGAkb7Vn6/LaEPTHwE8iedEUqiA0QCRacRFreFcQvGcfdZdzMqZRRPbn4Ss9rMQyMf4suaL/nzuj8DMDN3JiNTRhKjjWF51XKWVi3FHXCjlCl5ftzzjE4bfVLGX2WtIlGXSEAKUNlVSUVHBXM3ziXXlEu7p50ubxfDkoZxfb/r6fR28uGeD9nashUAjVzDhfkXkmZIwyf6+GTvJ9Taa4Ef+A9lTeXJc588Ke/tYDY0bWBZ1TKMSiOzC2eTZkzDL/oZ/t5wRqWM4pp+13DN8mu4OP9ifEEf6xrX0eHpwKA0sOyiZadcQO94YvVa2dW2ix1tO5AkCaVciVyQU2mtZErmFMZljDvZQ4wQIcIZhBSU8NXYsK2swXReNqq0Y6cq+WFpeuO4dKImZR7RCDj0MNuKr96OOtccTq1SJmgRtAqsSyrx1doxnZeNcUzaMRvnsUB0+Wl5bhuiL4j+rCSM49K7PfRK/iDOba10fbIP0/QcjOek0rV4P451jWgKYzBfkIfCrD6kX3+LEykgHeL78XOQJInGR9Yjeb738tMUxiD5g3hr7Mj1CkRPkKS7zkIe1fODjb/NhSATTno1oQNIkkTzE5vDKYD6Ecmo0ox0LtyL3KwmZlYB7e+UInqCEAzN5WUGJaap2SfsYfNUJ+j041jXgGtLC9GXFHSrkCdJEs5Nzch0SnT9j17VdDi6PtuPc2sLKQ+PQBAERJefpsc3I/mCIIOYy3qhG3CKeLSchti/qcf6eVW3bXKTGtO0bLR9Y3Hvbse1ozWUntvZvfiJIlaDPEaDoJQjyMDX6CTY4UE3OIHoSwsI2nzIlLLjFpSXJImGP4XM35WpBhJ/Owj7mno6lu3jpt5zaaSFV4a9yMjC0ScsmO1Yt466628g9ZmniTrvvG77RJ+P9tdeQ5mYiPmSS47PAIJ+aKsIKXLaKsDWAKmDwdUB7XtD/6YOCQV8HK0QlQr6uJC6Z9UjkDYMCiaD1wHrnvu+3/jekDkSzOmQfjakD4cDHq8H+8FJEjRshR3vgc8JYhCSi0LpaOVL4dtnQuMrnA7jH4D2/aF0s1O8IuXPIRIoOs2Y9NEkNHINCpmCfV37AIjTxmFxWxgYP5A3f/XmIaVT7T47X9V+xbNbnyXHnMO8KfOOy9jWN64nKyqrR9PclTUruWvNXQgIh5T0XjhjIYm6RIotxQxPGh5W+PhFP6XtpcRr40nSJ4XTsyBUUendsnd5r+w9JmdOJt2YzkX5F53yaXbzds/j2a3PAqGKXatnrcagMiBKIjavDRGRGE3P0uwIESJEiPDL8Le6aH1xB4JChuj0hxUFglqOtm8s6rxQsEZQhlakvTU2EDhq02bnpmY6P96LpjAGT3kH6hwT0ZcUoIjpXgEwaPNhXVaFa2dbSNnwX1+Yg5EZlGj7xWGanIlMd+opD0SXHxQyZKrDT5BbX9qBv8WFOtuEp7wD3eCEH00dO5a0PLctVDVtXDqqzKhQdbigiP2bBpwbQulpsdf07ZYWJfmDYb+f+nu/ASD1sXOOuvrX8SLo9GNbWRPyzZmeg9ygRJ1jRh6lwltjo+P9coLW0MNw3PX9EJ1+bF/XkXDLgCP6qUQ4fti/bcC6pJKke4eiMGuwflkT8uG6rBeO7xrxNTmJmpCBfmhipDraT0QKijT/fQuKGA2m6Tn4am2I7gCurSEVnaCUfW8+HqUK+W4l6vCUd6JKNWCamtXN18uzvwvLa8WHpPUeEZ8TmnaFTJAbtoUCDAgw5m7od3F3dYkYDKU99ZoaCm7w/f0FIPH3g2l5bhsyg5Ltl1h4YPOfWXbRsp9W7bBqLTTvhmE3gfzor3nHN99gX/ElMp2Wjnffo2DjRuSGY6MY/Em8Nwv2fvHzjk0qguuW4w2o6Gx2YS3eyL59aqw2JcY4PRl9Yug/NhXZYRSCPk+Aqp0W8gYnIFceQUUoBs/IoFBPRAJFpxnzy+fzTuk71NpruXfYvdTb66norGBM6hguKbjkiP41/9j+D14vfp0vLv6CNlcbW1q2cNH/s3feYZbV9f1/nXJ7n5k7vbftnW2wS2+CBQQLoog9BlswaoI9GA0xJPgzGogFhRAFEUT6UhYWFtheZ8vs9F5vb6f//jjLLMMuCyIqmPt6nnlm7rmn3zP33u/7fD7vd9u7T9redPuB29k7uZfmcDPn1p/Lw70P84nFn8AjH7uzNpoZ5Y6Dd/DLA79EFEQag42MZkf54LwPMpodxSk52TK6heHMMG9rehstoRam8lM8MfAE162+jnMbzn1Dz9GbnTsO3sH3t32fLyz/AlcvvPovvTtFihQp8n8Cy7SI/eqQnRIGeJZGMXM6Smd8Zp4Xk5octX5K3j+Xif+3CynspPLa474nzUJPFFAHMxQOxcjvnaT626eS2z5O4sEe5BI3ruYQokfGso5Gwj8/aieVrarEu6wcucKLPpGzU6BiBfTx3NFKnYo3zJT6L4UeKzDx492YGQ3vigoil7QinOxL+BuMMpAi8ftuSt47B0f57JtJRkZl9DtbkEIuKq5djuiS0cayjN+0E/+p1eQ7pmeEl9IPz8cz7y/guXEUSzdtX5OBNK62MGUfXnCcmbKZ00g80IMc9RI4s/Yt11L314geKzD2/W04G4J4l5WTfLAHV2uEsqvmY2RU4r/ppHA4juh3UPK+ORhJhcxzI4Tf0YIeKyD6HDMipqkaJxVl34oYaZVCZxxtJEOhM46Z1RADTlxNIbxLozgbgq94HSce6iWzaeh4ode0KByOke+YxlHlw1UfRC51n1xsV9Kw+1cYI/2IFTUI9auPiTxl7eA6Or5Kj8FzP7QrXfJxGNo+085keUtR0j6cpU7ERBc0nwXv+59jyx55DO64HMoXwFX3gTvE0Nc2A7Pf41+sIM1puT/sBviOX8L9R708gzWw5tOw8uOQHAZTs6tgHLMrIy3TYPLf/4PYrT/B4TVR0zLelStpuP22E2/DNOzjdQXt85Meo/vRTQgljYTmzCdS6X1FIeYVsSy7euh3n4aRnbDoPRBusD2D5rzNrtjxlUFpm93yNdUJnjD4ojB5CAopaDgN1dfAC7/vpePpYcyX+JNVtYYoZDTiYzmCZW7K6gLUzokgOyUMzWDwYBxBhGxCZawnSU17mNXvbCZS5WO4M07Tkijia7hJoKkG+zYO4XBJLDrzzVUB/HopCkVvUXJaDo/s+YO+BAylh3jn796JgDBjFgzwwKUP0BA83idgIDXA2+99O16HdyZJDOCCxgu4Yf0NSKLETTtu4taOWwFYULqASl8lmqkxkhmhM96JJEiEXWGmC9PceMaNnN94/sx63oq+AG8UBb2AW3a/+oxFihQpUuSPxrIsEvd1k31hlOB5DThq/bjqgwiyQOb5UTwLy1B6k+T2TNpR39OFWctXfX3NK3qJqCMZJm/ea7eSYKeBVXze9mLLPD9C4r7uYzMLILhkLEW371qve413rd/i6NN5tPEc7nklb6rP/Ze2fgTOrCN0YeNMxcfL+XNXQr0Uy7KI//YIue3jlLx/Dp4l0TfVeSxyctLPDpN+emgmWv2lRuovpqPF7zpsR6C/HEkg+rFFZDYPkz8wTckH5r16S1z/8/Ygvm71G++XouVh4HlwhaCsFdyv4qU58AL0PA2t59ptP+MdMLobCwljKkmidyGF8TKQBCSfhOhQkEpLUXpTWJqJe24JRlZDjrjwLq+YEYT0qTzj/28XnvkllLx/7us/ntQo1pZbEHb8HApJLEtAEF42BnaHbHNjBHj6BjB1KGnGSgzTb6yl5PyrCMxZxtBTR9jz08eJJg+w8saLER/9CoTr4aMbbM+b/32vvT7ZDa4AODyY3gbybd8k8VQBv34nXmkj0gWfQzztUyff7+QwvPBjyCfgjC/bfjzfOdrCuPj9tpDV98zxy0Xnwfov2m1XO2/DGthCYUrAXWIhCDpj20P4rr2VwKpF0PcsTHfZxtD5GGZsgMOb+4gl3OTNEAUiZPUgU3rzzOpLPWNc+ndLcNUvsK8VQQLZaQtM+YTtA/TiNTm2FzruhYP3k5pIUqCU8tMvgDOvw5Jc3HfTLka7k0TrA0TrArh8MvHRHMsuqKeyKURsNMvmu7uobgvhCTjp3TNF394p5qyppHlplPhYlsrmEDVHW0u7d02w76khEmM5sslj42BPwIHb5yCf0RBcIkpSxdSPXQNtKytQchqj3UlKq/1kEgUWrKtm2fkNSLLI5ECa+FiW7p2T9OyepGV5lAs/ueg1XX5vdopC0f8xHu17lN0Tu3HLbm4/cDuKoXB+w/lc1HQRc0rmcMPWG8jrec6oO4N/3Wb7/dxy7i3c03UPj/Y9OuMHdGbtmWimxuaRzZxTfw5fXvllqv3VM9tJKkl+e+S3rKtZR3ukHc3UZiWYFSlSpEiRIn9qzJyGZUF+3xSJ33XhP6OW0IWNJx1kW6bF+E070Sdy+NZUkX1hlMBZdQTW18zckTYyqh23rhiM/2CnnZT07ja0sSzOGj/uNvuLqakYxO85guAQCV/cjOCSEETBboeQheJg/03A0HXPgGnHu5d/dilTP92PHitQ8r45uFrDmHmd1KN9ZLeO4VtViW911Rvin/SH8GJL44sG3EXeelimNVOhdiKB2MxpJB7qJb93Es/CMtxzSkAUiN1xEADBLSPIAoIo4FtdhW91JfpkHim1C73jBZyrz0Ksbsfaexc88o8IloEVbIB1n8OcfxX6VB6lN4mZ1Qld3PTq7z2GBtlJ2HsXTB0BJQmFFNZUJ0L6WKIgFQuh6QzIjNvVHalh27slWIM1eRjhwL2vfm4EJ3jDCIYChSTIHqySZjSrmfx4KYZeiiU7QdcRhRRy0CKZuACn1IvnolYUpwsBSOa8WKlRcikDp89DwKcQbF+At7YeURSwDJOuX/0SaeQFqkITuBL7eHz0Q/QrVK65ywAAIABJREFUy/F5NHJWGKUAdS0uLn5bCsnKgaHDtp/A0DYsCwbCH6LiPZ/DXdvO8L4Bfvcj2wZEdoro6rH+4eVrg6wN3Qq7/wdO+zwcfgSmDkPVUrjkx3DPp2B838z8ed/FODJbkIUp23z5S93gfoWWZyUDP7/w2PKSyxaflCRHmv+dKekU1r5/Plx/VFCccxEZ3xr0HXcRFvZjWbZWY8hBCuM6Tr+AvPZy6N+MMN0F7jBmPoVhOXCIdkWlaYnszL6bLZkrkUQDj1vHJStMp+x9vOTiUUb3drNlcB3nR2+mba6FMbADdAVJlrAKKfbnLsTAQWVonMrABBMTIruylzJuLSSt2IJjtD7A+R9fwN6NQ+zbOARAeUOA+FgOTTVmUjXdfgeGbqIVZtuZLL+wgbWXnDyl0LIsJgfS3LN3lHsnEpx+ag0fbIxy/eZuHpBU7m5voGrcFob2bxrG0ExcPpmmJVEm+1Nk4gpKTqeszs+Ss+t44pcHZ9a9+Kxa1r+v/aTbfytRFIr+j3PtU9fyWP9jJ3wu5ApxedvlXLPsGjJqhoOxg6ytWsuPdv+IW/beMjPfi3HvRYoUKVKkyBvN66k+tUyLzPMjpDb025U+FjjrA0Q/veQ1pzupQ2ncLWGGv2bHtUthF6UfXoCZUZn6RYdtgm3Z6Vrlf/vWj1p/q2NZFrktW5AiEVzt7a/5mtETBZSuBPF7jiCXedAn8sclslmaSXJDH5ln7Ch6KeSi9OoFJ0z9MhWD7AsjWJLA9OEE0bVV+Of/cS1rE/+1B0szKP/Msr+4T1KRPy0vfb+zLIv4XZ3kD8Wo+MxSjKRC8uE+1ME0AAHpLkKO41uENLOODJfi5TFc4kF0K4pp+TGtEE6xC73hMpynvc2u8MjHbTPfQCVkp6CkCR7/NozuPpb0FKjCcodA9qOlXWRSpxJ571KE2CG7IiTWA95SLMtESA1jCTKCpWNafgrhd5E3z8Sa7kcSJrGkIAV9OWLQS2B9BR7tSUR1zI4t11WIzoHctN1eNLzD/vtlJPUK9uTeSU9hNXkzhMnJ23M9YoqQY4IxpXVmmlvOUR5JMTBZSbBEJtoQwRN0YhoWB54doW5ehFMvayVY6sHpkSEzycieLu69PY8/4mLeqVX0d8SY6EvRGIqhHzmEP95LtCnM/mwLyUg7H7j+NEKPfQS6nwBDxTj/+2wdXseic1vwBwTbi+fOD85+/dsvQuh8CJZfZfsMddwL/c9ByzlwZAOEaqHjHkCAK34F3jL7saGBK8CP7rYDixZau1jxrgqMaCMP/mKSuG5/Pnnyk/jcBZa1Jnh+n512uPSShZjBUpSchjl6kL4jGslcAEsQWXJahNRYgsF+UBWL2rkR3vn5pTPX6N6NgxSyOqve3oRhmPzk80/RVnaEJcENPNZ/GXGlHI9LRdUd6MaxtskVNdvYM74C2emgek4J1W1hundOMNqVnJlnwfpqTn9/O6IkYpoWWsFORT68ZZzpoTRKXmfJOfV4/A5EWcAbdCI7Xntr5jUvdPHbfOa46ec5Pdx+ml09ahomI11JyusD9nVwlJ7dk2z4WQeGZuKPuHjH55Yy0Z/iiV8cZMWFDax+V/NfxY2golBUhJSaYjA1yKbhTRyYOsDHFn2Mm/fezN8s/huWli89bn7LstgxvoMSdwkOyUFdoO4vsNdFihQpUuSvGX06T+yuTrAsop9YNMt09OXk99u+Q4JTwkirJB/swczpOOoCSH67CiiwvgZX8x+eKDnx492oA+lZMfBg+xlJASe+lRUEzih+Dr5eLMtCn5ggs2kTalc3Zj5P9HOfRS577YlT2tgYo9/8JtmnNwHgW7+eultuRhBfu1dGduc48bs6ASj/7LJZVUOGbiKKAtpolqlb92NmNASPTPmnlxzne7Tnx3s4fCBG3rTImFDlk1k9L0Lle9uRgsenvL0almUx8q3n8S4rJ3JJ66svUOQvz8ALtndNZhxSI/ZPWRt4S+yobS1vty8FKqHmFGg+46SrswwLQTo66EyPk3/iUTT/afi3XYwhV6Ot+i7W6CHM4cNYhFFLL0b0O7FUBdfB63E4x5HLvIjpbgzNi6z1nnR7BGtgyRXgDmEQInZ4BWpvcsYYGmwDeLnUjVzmwdJM8h3TpB7pxUjmARA9MsgyZl7HWe3HPacEI6OSfX4UwSFSdd1qex5AzescfH6Uvr1TBKMegqVuZIeEJFmo8SmSI9NUt5XgEKHnkEpnRw5BsKiuUgh50kSqgrgDTsKeFGK4Gq8ftIJJKiWS6umiq0vGsiQcko4z4KX13DVsf2SAyYE0NXMivOsLS2cN6vdvGmbzb7vQFQPZJbHq7U0sO6+eZ+8+wr6nhiip8jE1lAELVp1dhv8b78O3fj2lH7ka7+rV9F3/bzw6vJiaZh/veFcc7roKIk30r/wND9w2CMDyCxpoXFyG9tN3UO/aA5WLYGwffOhe2HWHLf5YJ0g4eJGLb7T9h15Cz3Xf5uHYsWTrYLIHyVBIhlqYWzbFpF7CZPrVbS9EWWDRmbVM9KYY7U7icEu0nVJB3bwSGhaV4jiJT9Zv/mU7E32pmceLz6pFVQxcHhkEOPDMCJpiIIgClc1BLvjEQnyhY++LvXsm6d41yfx11VS3/ukSoHXVYO3vdzHpF7lgVw5LAFGMMxwOsL01xHcrKrh6ftWs6yKbVChkNUqr7c+G6eEMPbsnaVoSpazWz2O3dtC5ZZxFZ9Zy+vv/OqqKikJRkSJFihQpUuRNRaEzzvQdB7EUu6z8ZC03ekJh7F+2HjfduzRK5H1z/ui7ekZWw8xpiC6Z6TsOgmlR+sF5SKE/fNBfxMbIZElv2EBuyxbSz29BiSWR9QKiy4llmjBvOVVXvw+18zDO+gYsQyf98MM4m1vwrlqJd8UK5NJjVTqDn/kM2eeeJ/iBq5gcSKE+u5Haf/wiwfPORVMMwhW2mKMWdI5sG2fumqoTptooPUksy8LdcmyAsu3BXrY92IfTLVG/oJRF66pwA4P/c5Ayr0zFNcuQgnZaVS5e4LZ/fA5BEojW+nHqJv3DWQTgnHNqab2wkeEHexncM8myTy3GU+dHG8niqPW/4nWqT+cZ+/52wpe04F9TfcJ5TkZqOk8upVJa7Ud2iGiqgWlYuF/iuZWJFxjvTeHyOXD7ZCKVPiT5z2c4/pZGy9sDetOwW7V2/y8882/2c5IL/BW28W5m3I72NnVbLHL6bLNegIZ1cOpnoHEdPPj3EO+F6Fy7jauQguqlMLjVrvhJ2e04OP22qfBlP4NFrxxVPktkAtShNLEf3U/o7DI8K1ptz5jEIJgaViaGNbKPnHQByrCEVdAxCwbqYAr/mmqko+mNyQd6ZtbnXV5OoSuBmVIRfTKutgjBc+qRQi5Ep4RlWjNVcJZhknpyEKktzHhcYbQ7yWhXkqmBNKZpEan0kkupKDn9FY9HEAUWnl7D8gsa8Ede/3uwYZhMD2UorfUjncB8OR0r0Ll1jKFDcYYOxWlfXUHPrkkaFpRy4acWoasGSirP5Gc+QX73bprv/z2utjYAzGyWx6++gSOlZ3L5F+YRffIDjPbX8cjYxRQ8UTxanLwjMrOtxeGNnPLZj+Hp+Cmc/XWQXZAehwO/g5232bHsi99r+/0UkvZ18rL3CyOZ5PHLrqOr9TIu/VA5sZTM0/eN2OtvSLP+H9+FZVlo2QI7v/NL/O3NNF9+JoWMRmo6T2VziN49Uzx520HO++h82lfZSWuFjIYoCbOqaU7GyJEEYz1JgmUeIpVeSk/QppuJF3D5HCcVnF4LpqmQTO4mHF712itITQtDN/nF7w7zrVKFtRMjvC05TlNLI89u3oQiOdiw4DyGI04aC9CGzKdcAbThHPcPTBOO6yxvtKvPEmM5ymr9RBsC9O6ZYqBjmqZlZZz3kQUnvKbeihSFoiJFihQpUqTImwYjrTL2b9uRI25KPzyf5MO95PdOIUc9lFwxl+y2MVwNQbxLbePO9DPDJB/sIfLeduRSD4IoIDhF++83eLD7ZgthKBw4QKGzE0dlFd4VyxEcDoxEgthttyFFShC9HryrV+Ooqfmz7nc+reJwSSh5nYm+FJYFTo+M7BSRDYX+b3yXwXSYdLiZtLcSS7AHIaIkIGKiGwLuwjTtR+7CVYgzXLMeQXbgUuKYhkWmrA29uhVN0SnLdGONDpFsWUvK8GOZx39/veATC2hdUcGW3/ew/aE+vEEnrSvKiVT5KGQ0vCH7sdMto2sG+bQ9OMolVe6+YTuVzSGCZW56906h5nQQBCzTwiPCghIXcz6ygIlYgd0P9DE5nuPSD82h+rQa9JRCzwO9PP/cKBndwitC3rRtNhqCDla0hzC6kicUQrXJHLE7D6ONZsGwjqtyehG1oNO3d4revVO2D05aI5NQULIanoCT1GR+VgIQgCSLvP0ziylvCNK5dYytD/SST2szzzs9MqU1PiqbQjQuKfuT3tl/U2JZtugT74e+TXDATqjCNOy0J3/UTpAyDTsBS0nNWnSH71uMuexr1tBNFp5eS/OyqP3ki6KS7LQH/S/8ly0uJfrBHbbXVXOK3XpVSNgrFSRoPhOwjlUjlbbBgkug7fw/yLDaMi3G/m07RqyAszGIqzGIFHahDqTJ75+eMeWXwi4wLYyUiveUCkouP1YhkXl+BCOtkn5qEEzbP6n0yrm4WsKv2hppGCZ3fP0F0rECkixS3higqiVM87IoFY22342uGuiaSWIih6GZVLWEiI/nSE8VqG4Lv2bR4o1Azevc9b1taAWDSJWPc6+ehz/ixsznGb72i2Q2bkSKltH29NOzKhinH3+GO39ToCR2iEX7b2HX8i+QDNg2HWc9dQ36V2/hYL/brkzCTuZ699+veMX9UHp7if/qV0TefwWu5iYyzzxD12e/zN4Vn6fcl0UeOkJfaCWhhijv+dbpADx8/ufQZR8X3ffPJ497P4plWUwNZiire2Xh+kVS6f2Mj99PPP48Hnc9hplDU+P4fG20t38d3cgyMf4gpqmRz/djYSHLASrKLyIUWmafW3WK3r4fIYluNC2BpsURRS8CIZpbPoLHUz9r38BCEMSjj0127/4IsfiztLVeR13dR0mM5/iv5/q4LaKzrMTPx2ujrA37mVQ1JEFgWtO59sAAHTnbNN5jmLxny6N4NduHyev1ksvlWL5iJc+ZjfyPV0WXBQI5k0jBZKBExmfpfOWBLE6HhNPrIDGewzIt/CUuSpeVcW+bgwqvk39u+/N+5v6pKApFRYoUKVKkSJE3DYkHesg8N0zF363AEfViZDWmbzuA2p8CSQDD/n5S+Q+ryO0YJ/V4P876IOWfXvIX3vPXh5FKMX7DDYQuvhhHfT1yWRmi++TtAdrwMGPf/R6ZJ544NlEU0SoaUJM5Mr4aFFcIh5YlkB4k1FRB6Hs/INpS9orRxZZpMT2SZWowTXwsx2h3An/ETXVbmEill5IqH4IgkJjI0btzFE/ES0mlD3/ETf/+aeLjWUTBYrpjgLG481WPW5YsKloilDcG8QadaIqBrproqoGs5+jpSJKI2YNWUTBxep0UsnalgT83gjs3hSG5iEfmIFgGVQ1eqhdWUVrjJ9E5iPL8M2Q7DtFffwGqK4TsktCP+lXVzYsw2pVEf0krTbjCS3VriL590+Re0mIoySLv//oqwhVelLzOk788yNRQmgWn19D1whiTI8dSYV0CLK5ws/KraxBeMjAbfbiXwy+MkTIsnAJYQRc93UmcAizxSFQ7Rco/sxRnbQAjq5HbOUHqyQEEETyLorjbI3hO4HOUnMxzz/d3kEupeINOXF4Zh0vC7XMQKPNQyGj4wy4qmoKkpvMoWZ1MQmHoUIxCxhaScimVQImbM6+cgyiLpKfz9O6ZIpdSmRxMYxkWV/7TGkLRE8d0W6aFkrdfl8EDMZJTeVZc0PDW8lLq3WQnPCkZSI/AkcdBTR97PlRne8MIku3Ho6RmItGpXQltF9hVIP4KDgzUsvFBhZJq278qNpJFdogsOquWYKmbaH2Qslo/yak82YSCL+yipNwJu26HbT+D079kC0CWZW/j0ENQMd9uTXqDMFIK2Z0TpB7pm5kmuCU8C8uQQi6koBPfykoszSTz3AjepVHkyPHvSflDMbShNP71NYguGcuymOhLEyxz4wnY7wGJiRwdm4bxBJyEK7yMdifZ/dgAZ1455xUr+97MmIUC6sAAY1//BpnePQhfXINjXgOB8qX4fe34fG2IogPLsrjzAzczHTo+KfHCgRsxC3nk0jIeKv2bmenX3Hz2cfNOPbeLqYc3Ij7xW4xYDEdNDTU33cTgxz/OoGc+h+Ye8ziSZZOLPttEWb0Tp7McfWAEZBFX3fHJ1q+X0dF7GBz6Bel0x6zpfv98HHKQeOKFo1MEZpynAZezAlWLI0kuVq96CKczyt59n2J6+mkEQcLhKEUSA2RSkwhSDkEQ8PtbcHuqKBSGyeeHMA0Nh1RHWcVy0ukOMhnbRDpGCW7COPJxvuj8PlnRR8ABk8aJP4cqYzofrC5lkTDB8488zDXXXEMwGESSVB5+5Fsc6AjxhS98hURM4/7OCR4VFXSvybZkDl1w8M91Kh9rXUVvTsGRUtmayDLohv8cmCBtmFxTEeTr8/86vHuLQlGRIkWKFClS5E2BpRn0Xv8Cek2AZG0AWRaomVtCeUMQbTLH1E/2YbxkEA/gbAwSvqQVZ6UPPRYjv3cvvlNPRXSeXKwws1kyz27G0jTMTBozXyDy3veQfnIjrjntuNv/9B4DSlcXI1/9KoU9e2emedesofL6fyIvhRgfyOILSIRTPeR7+nB4XOR27iT+23uRvW5KP/4x0vPO4NDmIcZGTXL6yY/Z6ZGonVNCtD5AeWOAQlYjl1Tp2zvF9ECSQuHYd7+wTyWvSCj6a2sPcBlZDBNcSoJwsguXkkQyVQRTx6UmKX3XRYgV1Yz97Hb8b7uIJV+4HKf7lSsDDN3k4HN2ulLL8igevxNdM9AVE7mQROnuwdnYiOIK4nBKuLzHJ6vqsRh7zrmUw2d+harlTXgCTtpWVVBa7ccwTOKjWV64r4fBjhiRKh+ZeIGSah9tp1TYRRqCQE17mEjl8abVYFc+HH56mFx3gqAsUDkngn9ZOZL/1YWysd4km+44zNRIhoUeicVn1xF6WxNj/7Gd6dE8Ob8DpTVM3ZIojS+JQ7csi/HeFGM9SXp2TzLek2LhmTWsfkfza660yMQVOp4dpm/vFAvWVbNgfc0JhZ10rMBtX32ORWfUcspFjXiDs49LUwzuvXEnkwPp45Y944p2PAEntfNKyKdV4qNZwhVeBEGgb0c/qZFJMHW8JSEWX7TQvhbG9trtWli2T47DC4cfstu36teAodo/Dq/9W3KBKMJ0N6hZW0zRctBxL9b4QboHAnQPV1AWtShtiFDb7EaubIfSlhdfQHj+hyQ2/JRRZS55sYyawADBljkoJUvJO2o50Bmi95CC6BCJ1vlpX1VJeX2AcKmAYCjkDR8T/WmyCQVdNdjzxCCiJPKBb61GEARyKZVHbtnHaE/ypePmGURJoH5BKaFyD2W1fnTFQC0Y+EJOvGEX8dEcLcuiaKqBJ+C0vV7eICZ/vh+lM07FtSuQI+5Z4ubJUHIalgkjXQlGu5PMO7UKXTXY+Wg/3TsnAZAdIm6/A00xjmsl85e4+OC31/7FRCIzl2P61ltJPfgQwYsvwkgkEZwOpFCYzFNPoQ0PU/7Fa3HPm4c2PoFn0UKkUAilu5uhz3wWtbcXHDLJ/4iSFfsRBBnLOipi++dRX/cR3O46rKTBQ1/dRzLQyvzTKllwlofDnd+g2jMP5ZO3I2jw5Jk/mtmvK/9pDeGXeJ5ln3uOX//3MAV3KW1jjzJVuZKajnson9yFJnt4Yf13MR0qLW//RyxTRBB1RNn+fJTlEH7/XJLJXTQ2fhpJ8pJO72dO+7dxOEKv67ylUnvZtv0yXK5y6uquprLyUnK5XjR1mvLyC7Esiyc32j5qjQ1/S1XVu5mc3ICmJWht/Qrj4w+yv+NzOBylOBxhcrlu5sy5nprqKxAEgQPPjvDk/xyiepWIIP0XgZrdCGYpsljDRF85eRNCviG80V4spZ7M8EoO9a/ih+dVYr2keucj5n9zurCR67meoJViSbYLQTDxuqdpyHto9jhpmreMw50pero3snatXf0zNf0kup4mnw+gKu3U1beQSNyPx9OAqvZgWBpf41/pF5pZEfCwI52fdX7qBZNlHdtZ7XXw0Y985HWd4zcbRaGoSJEiRYoUKfIXQ8lpbPhpB7HRLLpiUHjZoELWspyV+hXNt/wnojeIZVgkH+xBjxUIntuAKCfov+rDWJaJMTUNloXo82GpKpamITgcRK+9ltKPXI2laSTuvpvCwUMk77sPS1FmbUsKhzESdrtH0333kfz9fTjKyyn58Idf8/FMDqSJVHlnpa/Ex7IMHYpT2RIiXO5FlmH6Zz9n8oc/RBBFSr/0Ffom3Az06aijYyiuMFn/sQht0dQwRQcONQ1YaI4Abq+IpgkYuonsFGlYUEpVWxiXV8YbcFLeGCSfVhk5kmBq03bUJx4kV7OQWHgOOW22qOI3E/gnDhFJHCGQHsChZXGpSfKuErqb30UoYCHGxjDzBVxKgtoFUbJ795MRgqi+KN7kAJVLG3A1NeM/52ykQAClsxOppBTv8mUMfOKT5HfuBMDV1krjnXciek9coQJA5wbYcjNMd9m+LE2nw0Xfh/AfbhrefdHFqD09SNEySq66itgvb6Psk58k8qEPvrbWgCOP2V4xTadDpOkPavN5NZS8ziO37GPkcJx1YQfVa6rY+Ngg47r9HVwQ7MKSqtYQzUujR31TxilkjraJCbDuPW0sOftPZ6b+4I/20LdvGodLYtFZtRiqSdvKCka7E+x+fJBsUmHB+hq8QSe1bUH6d/SyZ3MSw7DPk9djUCiAac0WHF2CXZGjWH7mBJ7n3OjPITc1e+OSEwwV0xLJUAmGTkCaQHD6UBWDzsJZSCVVqLEpCoYPT8BBi7SRrtQS9uTeQdoon7U6WSgQkYZRHWU0N2QpVXZwaLiOIfX44JaX07i4jPholuSkPTh0eWVcPgepyfxx8556WSvLzqufNc00TLJJlZ2P9DPcGWfpufUEytzseLifXFIhOZnHNF5l7CXAnNWVrHlXywn9eXQ9zcDgLyiPno/ff3wly8uxNANTNZF8x4usJ6KQ1dj2QC/7nh4+YYsnwILTawiWusmnVQoZDU01WH5BA8FSD/GxLLpuEq0LzPLI+mPJ7dqFPj6B6HFjWRZSMIRnmW1QrRw5gjY2hu/UU8nv3UvqoYdJ/f73GMlj6VrC0ZsKpq4gVpVi1rrQh4YRNAEpBnI4Ss2/fZ+Rr12HJqXhvEaU1TIxbSvtbV+npuZKcvk+kokdHOn6HoZxLElL0KNU575E44Xr2Lf/b0mldgPgS9ZgdYySzC6gkDmPYW0eAO2rKjjvowsAOLR0GU+sufG44124/78ZazqHKV8LoaZneNsnziGX7aK750YMI0dN9RVoeoqJiQePW7akZD0LF9yEwxFmcvJxBEHE6SpH15K4XBX4fLMN8w1DYX/HZ8lmu1GUcWTZx9o1jyPLx6d89ucVkomdlAuTVFa+E7CF7WfjGSZUja3JLE3GHtrGvoDX20xry5dwRc7GL4lsHIrzg4c72V/vJOcSWeRy0XI4y6iiMxGSGInKGJLApQUHq7ZlcB8VGXe2urm1zOBjngBDXoGBfJ7r4jKJjv2EFn4dUfDi9TTjdHvI5HZjGJlZwh6Ay1WJKDpR1Wnc7hpUVaJQOIIk2fPkcgHisRomJppxl8U4XF/DVmst/WITHqPA6sIh1k9swCPkiUbz1NWuZOnS61/tsn1LUBSKihQpUqRIkSJ/cl5qagp2tcJod4K9Tw4xOZCmdXEYvW8SV94J+++iNH8E/ZTzeEGxv6O0Wh2c++NrkCQRS9dRurpwtbbS/5GPktu2HWnlqZSsXYHa10vigUfInn0lU/4W9MlJGrb+HI9XQqqoQO20k63855xDyYc+hCCJUFaBMTrC+Ne+iqmpWPmCLTSpKlJJCU2/uxc5HEZwOrEsCyWr4z6apmZZFvHbb8dRW0f/kMXTz9nHF4p6cLglREmcMWsFQICAlKOQM/C5dKpOaWW4L0dqMo/LK6PmNEp8CnWucYLJXqbHC+QWnE64rZZcRied0NEtiUiVD2/QiTfoZP666pNW5wAk73+AkeuuA01DcYZIBRrwFCaR9TxuM0vFl7+Mb91pSH4/pqIgOJwYiTjOpqaZ6iwzl8PMZpGjUfTpaaZ/8lPMfJ7QO9+Bd8Ur+2vkdu0i9fDDeBYuxL9uDVJ+CCYPg8sPsgcSfXbrz4sJUclBCDfYbT2uAOy72/7dtB7So2CaduVIoNL2jEkO2jHaL3rLrPwYnP5lkJ1M3PjvTP/kJ8d2RhKRnRoVf/8ZXItX4GichxgoOfa8odntRd1Pwt47YWTXsefcIahcbItGlYvtKO9I42zxKD0OA8/ZApeWg+pl0L0RTv2snXr1MrIJhbv/ZTuZhIJHgLwFq9/ZTNOSMkJRD8/e3UXHpuGZ+RsWltKwsJSW5eW4PPKfvCojOZln0687iY1kyMRnC6s19XAKP6K2ZNwWdcYPgJ7HsGRSRjlJvYp9uYsQJJH5TeNohhMtGaN+SRXBRWtAlHn6t8Mc7Ily9frfkq86h1CJiChLkBxCnR5nRF7Pts0mE1O2MFIfGaQkmOHIRAvZ/CtXblW3hZm7tpLWUyrIjMVID4/R15EgceQIQiHBoLIICwmPx6CyvYLV72zGE3DSv38KTTFxeWWcbolAqYeSah+iKGAaJnueGCKXVtEVg3xGpazWT1VLmECZ3Zql5HTKTmJO/koUshqj3Un8YReBEredqLRnErVgUFLlwxtw0N8R48i2ccrq/Cw7r5qCMkp5k8H+jQVS8RFM1wt4yvbicDul5Co1AAAgAElEQVRprP17rMJiundOkEupuDwyumZS3hjE0EzCFR4aF5URLPO85n3c8NP9HNk+QWVLgIZFLgwdGhc2MNaTIhBxU1LtmzGO/3MRu+02xr/7vVnTLMFCnluPUBMk37EPMS0g6Ng/hoh0xQryZ7pIWd1IhoEn1IJqTJHLdmFa6nHbcB4UkKcECostzJD9Pu50RqmoeDutLV9CFI+JdqapzrRK5fMDdHX/K35/O5qWoFAYobX1H7AsnSNHvjNrG733fA9FtysHr7n5bCzLYs/ac9i89GuIosDZV7dj6qM8edsxP6yKZXcQaXuKM8/oQJLcR7evIYr2Z1Nf3804HGEkyYPfP5eJiYfp7fshAA5HBE2LH3esTY2fIxxeycjInSSTO+n1vp2fxWvwOAI0uAwurWnm/Jql9OQU7h2P0+J1Ue50MFhQ+Xb3MDHN4O6lLcQ0g58NTbI7nUN5maj4vnI3/zGvlY3xHFfu7ZlpUpMMi/lpuGBpFfeMx+nJK7iAOlNiXW2YnrzCpniGyysi1Lqd9OQVnphO4ZVE9p664Lj/uUJhAocjgCR5Zl6bWGwzkchqCoUxHt1wOxPjLq7+2JdwySIZRWdbX4yz5pQTj8fYsOEuqqvnoygqwWCQtrY2kskE+zt+gcezD0HYy8vxeJqIlp1NW9t1xz33VqQoFBUpUqRIkSJFZihkNe690a7+aF9VQfuqSmSHyJHt48hOCVESMHWL0lo/Sk4DC2SnRLQhgMMpzRhiurwyslMiEy+w/+lhDm8dI1oXwBeQUeMphgbtu3UOp8iywGGCG+/HveRKBKcPc/ouop/9HN5VK+ncMsaRB3fSP+mhIqziJYO5ZxvRqd2Ml69gIrocxW0PwB1uidIaP7mkQmqqgNMtoSoGvuwoHj1JMtCIKMuEa0JEaoP4gk6GO+OM9aRwemSidX5EEZqsThy/vAH/6aeT3rDBXnd9PaWf/zs2PmsxGnfRdko5ZZVODv9mM47UOIbkZqp0IQgidYNPoEWqEavrEMoqCIkpapROUlIpIz0ZkhmBSJUfvaaN4c4EggDnfXQBraeUg8WfzN9F6e4m+fv7ye/YgXfNGrynnEJ287OELr0UV/Nr9FQwDYj32QKJeLRKJD1mm+8qaZg6AqWtMOci+7mxPXZc+KEHbQEmNcIJe3CCtVDSZLccRdth5SfAbZvb0v8cPPPvdvJToAI8JeD0QmbCNgQO1YIvahsFJwbsFqazvgbBKozpYTIP30ugQUSdzuKSxxGMl1WBlC+A994GQ1vhgWtBP/p85WI7JrxpvR13ProHBrfAxIFjy57+JTj7a/bf+QT8eK3tc/NyWs+FmhWw/7e26PWBu8BvV7wUshodTw1xaOMQbcuirLpy7sxihm7Su2eKqtYQbq/jL9auYxgmBzePUlbrJ7bhNkoHf0GFowucAfta8ITt81XaDN5SMHTQC1CzHMrmgHRiIXN6OMOvr99KoMRNOlZg+QUN1M0voW/fFF3bJ8gmFARRYPU7m8inNTqeHUFXDMrq/Jx6aSsOj4QkiZTW+omNZOnbO4kv7GbumspX/j8yNHKJPH2HMjQuKjuupe4viWVZZLOdqOr0Ue+WMNOxZzCNAunMAQb3mfQ9+24wZ59P0ZnFVE/cIglQVmcboU8NZhAkHcuwl69fNsGpl7VSUrocVZ3GMDL09d9CIZ/CVHxkklnUVDWRaoGdv1kBSLS945tY4jgAgcAC6uo+SlXlJX/8sR+tAD0Z2vgE6UcexkgmyW7dSmp4G8nPujEjAqLgxLIMNDMFwgmi5S0Rr7uRnNKDogUYSS4m6IsxJXuwtCpCnhrCPlha247T6UVV4zw+soua9H04kPF45uH3r6Wq9gwikWWYJhzcPErTkjJ8IRe6ZpCJKYSinplrr7f3h/T03gTAiuV3Eg7bY+6hoTs43PmNmV0bfOLvyE7PB+ATN52OpGTZeMkXOTznA1zypRomUv/MdGwzIf12tt5bwFPaRf3ZNyAIcM7Z3a/p/Jqmzujo3cTim5EkH8GA/XmlaylC4RV0df3LTMWTIDjZb7XzXeHbuMnT7o/QnVfJGiYrgz52pLKc4AzPolSSOFWRWFbi57SqEBvu7OTGpUdFrNMXc/nuLrancrRM6pwyrHPFoirmLo4SLvdiWhbjqkaF04H4EgHoCwcH+PVYDBEwgYgs8Y3Waq6oOt7D7dX4+c9vZcOkjy0JHxUBN7GsimqY3P6xVaxvi77q8qnUMLt230RD/RnU1Z2LIMiI4p/PaP3PQVEoKlKkSJEiRf4KeHnFTiGrITlEZIcIlkWh4wCOpmYEj3smutWyLAqHD2NmcxSGRnE0NbNpk0L//hihcg/JiePbKl4RAWRZBAF01TzuufKIgTI2Rd5yYzm8NHhc1DhEghIzXwQFl0Dk0ja8Sytedmwmmz75r+yXV71stSaVgTzOhnoilV50zY48tiyLZec30LiolJ7dUzx712EcbpmKxhBKXic+lkXN6zNJT7VzIwRK7ASayYE0skNk3eXN9O4cI7atA29+glJHgkkjymR0KaFkN8lQs31gR3G7oK0Zlr5jLuqG+8ls2jTTbjVrn51OPCuWU3/LLQhOJ8nJHEpOp7wh+NrP9Z+avmftihpPxK6i6XkaJg9hAYXUGJ78lC0QeCJ2NU2i/8TrEWU7oQmgYhFULLDFoJIWqFoMumKnOLlDdnXOG9XWdfM6GNs3e5q/wjYjrlmO6mqn0D2CPtaPR92Op0Szn7MMrOoVZLJtuE6/HMfycxEEYXbanWXB6G573zf/wPbQ8ZVDPg6WAQhwxa/sSqLkIGz9qS14bfsZmJo9b3YCLr4RVn78jTneQtKuZHKHbMFGfklbkqHDyE47SUs8gcikZKDzEejfbAtvlglVS+3Erdy0/RPvt18nl98WBC3TFgIXXmanbrn/uGv3vpt2MT2SxR92zfgdSbJITXuYBafXUN4QnGm1erHl6Y0SU01TxTAKyLJ/JlEJ7DauZGoPycQOVHWSUGg5DkeESORUJOn1x7KfiERyB4X8EIZZYGzsPhKJLSecz+NpJBCYj1GIYKohhncvYfSwyLoPuGhdNg8162XXYwN4Qw5U61li2VvxleRxsoLKhjamp59ieqIf2ZlBspYxcWApU4dW440ewlfZgZaPYOkucpNz0LJlJ9yHqlU/p2Zhkrq6D6MUxhifeIBs9ghz53wHv38uIyN3YZoq1dXvJRw+BUE43uNMVacoFEYoFEaZnNxAZcWlmP+7i/E7b8FaX4m7oonoissIrb8ARR0Hy8ThKEGPxxj+2N9S6D6E2gDmXD/pC1QEt4ug/2yUXAFDEzC1EP5glFBZFX17YySmRgmVy8Tc+3laamKHto5hZyWKdOJrqKxgcXFjKTHD5P7JBN9sqeRTNeX86p+2khjP4Qo6qT+1kvRkjuGdU4xFJEbLHIyEJTQJLhW8XPPBhXYVmqnR0/sDysrOIhyaXXX5Uk+fQqKGvg3fAsAbkrjiw1F+983HyNY30HDRFxEEAVF0YpoKSrKaqoaF1NRecvSaXDVrnZYF4h/w/6GZFkndQLB0XFo/+Xw/snMFH946wG7J5PHWLO31p5MzTP65e4QnYykuKAtxOR5ufqGfSVVj5aCGHFd5ps3NSInMFYYbx44YZt6Yta2DtQ7uPi1AJSJjmFy2X2HNhMm7Pr+UYJmHgekc8ZzKwpoQ0iscw2BBpcwhM6XpBCSRsEOmayLNxkOTlAdd+Jwy586vOOGyw4k88ayK2yHylf++nx2ZEG9bWIkoCgzF8+wZTHDRokp+8P5lOF5HxL2iGyTzGuWBkwdSvFUoCkVFihQpUqTIW4gXvS4GD8bAslsdYiMZOreOE6rw4vWJ5BIF4lO2CCJgIqMjKDlUZxDR1PGaaRySgZXPk3JX2euVjt1VP/W8MpZdtpjkZJ6eXZNoqkHDglK8ISdKTqeQ1VDzR9uvLDuie7w3ha6ZWKaFL+RCEO3Bnt7TifPuO/FVr0IK1yLIdmuCHM1iZYYwMiBFWwmsb8O7vBLRZVcl5VIq3oATQbQH6vrYGNsu+SS6w8dA4wVUt5dw6hcv+qO8LnIpFadHmuUnlI4V+PU/bUEtGLh9Dnwek+mpo5HRokV7g07r4btIbtmB6gjgaW2k6j9vPqHhsTo4yMhX/gF9aorm39ueSKLHM+OJ8ccQG8nSvWuCfEajujVMtN5PLpah87keCsM9NJaNYrpClLgnKVW2I8cO2ilKwVq7YsdbCv5KW1yYPgLxPox8ArGQRJg6PGtbeUeAfSVLyVsCCUtiV2Ae3yrV7PWlhu31LPugXSnjCcNT/2K3hZmGXV1Us9yuNvlzxQX3PGV7Cy18N4gOu12t9dxjFVAvHteePfS9731UX72WYKuI0H4BE492M/2z2wCQSktBEPAsXEjtj/4TQXrZoDc9Dk9ebwsnvqgtHs17OzSuO36fDN0+V8Ea+I8FUHsKvOeXr1hpM4OWtytzBrdCLmYndMV67GNxh+y/Y71gvKQtrLQNytohNQTZaft3sMZuD1PS9utRvdx+3Tt+Zwtc7hAEqu1txXvB6bevEW+JXbHl9NsVU64ATBy0xbDX4Rl1IgzdRBCgkNXZ8LP9VDaFWPG2Rhyu12ak/odgWRajY78lmdiBpqeIxTZhGDkkyY/fPwfTKKBpcQrKGHbNgoAgSDOeJsHAYtrnfItgYBGGkefIke+g6UlkOYCmxUml9uDxL6GAC0kdxu+txedtIRJZjWHkMEQPQU8tgiCTzhygq+sGcrljFSFOZxm1tVcRDq3ENBWmY09TEjmNcPiU43xhTNPC0MxXPE9HjnyXgcGfzTx2OEppaPgktTVXzrTjbL53G7sftcU52WUiCBaC4GDpuQ24vA5kp0ik0jZ6V/M6dYtz+AP1M+1WhqGwc+f7SaXtNhxJ8mNZGqapIClOQsk2ItZSLMmkoI6S8B4kFx6fvaMGOI8I6NUWZvDYNEfSjVZSmDWrkBGwfIBgj1MVnGzb/y3SU1WIFiiywERYoiRtUBU3OFTrZLRMZjooMRa0z1OL5GB9ZYgyh4xDEFgQ8CAB8ZRCZ1+S+0djDEUdKLL9ftWqCPzdfp0HrQIH2j2MeAVU+fj3spAlYJoWWSyu6Df5+LwqkpN5DN0iNZVnrCdJPqVSN7+Ei/52MVreoPfX15Iee4bswjSay8eR++zqozP0h3jOXId/ziEqVv6EZUtvY2zsd4yO3UModAorlv/vcSJcIaPx8C37mB7O4PY7yCZVorV+1r+vnbJau6JstDdJRUOAggBbEll+PRbj4ckkmmUhApdWROhK5dmXzWOKAmsP5rkq7+LSLy4H7P+fF78TPHdPN7piUL+gBJdHRpRE+vZNoeR0vCEnbp+Dsz80j4mBFKZuEa70knPARR09hNMGi/sU5oxqlFxYQ0cyx7NdU0yk7fexlqiP8xdUUuJ1cunyGv7rqW7u3jFEwC3zy4+uoiXqnznujYcm+Mz/7iSrHhOlFlQHWd1UiqIbFDST0WSevuksI4nZ19OZtSK3XnPhzI2A7z50kP/e1MP8qiAfPrWB32wf+v/svXeUZddd5/s5+dwcK8furs5JarWypVa0jeWAjMbLmBnDYMAzBA848MzAsIYFPOYN4QGLZ2BIBowxOFtOsi0ZW7KslroldbdaHau6unK4OZ649/vjVCd1S1i2cJjp71p3VdWtc/fZZ999wu+7v7/vj9+6fwf5uMmDhxfZ2p/ilomIRH1qukJ/2ubhY8tMrrapdjyena2xvifJ3/3kpYtaP6i4ShRdxVVcxVVcxVV8Bwj8kNJci+WpBpqhRiana94hraqLokA8Y8HaSl+qYF9S2QTWVgGFpFFyKM+3aJYdckmDVMEmPZpCBdr7l2idrvKlIxVazqWrdKqm0Gd2CV2XbttBl4Ji0EBRwPe6eE4dJVsgNVKgvVChFcSQVgwtZhPPxYilLVL9aYKVVZRHvkK/NcvIn/wRxuDgdzQ23nKbpd/+FGp8FCUmiW3tIyg7xK/tJXnTwIt+7sgn/oWFrz+KUGO0/Tii71oe+JUbcQ4dQjpdErfc8h3164WYeb5MZaHNxHW9VJc7JNImlcUOYzsKGJZGbaUDQKYYpRSEjQbNL38ZNZEgds01GP39FxqTkrUl3bU/JdJxUBUvel8zwLxAKp1TgkkhWZ1tImrzZBr7sfUOjqeh2ik6bWi2dGSiB5MO9akpDh2KE9PqxM0u24zP0mecRFMuNQI/h7PmCGeS2xnv7yHZnKbQmEZxm5FqBPD0BKdjQ5S1JA09waHkZv5i+N+hy4Bh0WLVyDKaydNnGnyz1qITCs7u2/WyfVi+3yA8jxO7dgPQ9yvvJ3Hb7Uy98Y0kbrqJ5F134hx5jvonPwmAuWEDYx/6e7zJSVr/8i8UfuZn0NLfppLmwf8CBz8YpdBlhuHGd0ZEG0RKqMf/JEpvq89Bt3LpZ+1sVN1LiijlLz0Ivdsi4smpR8qm6UehtRq1rVvR+0Ys8nPSTDj95cjLycrAjvthyxtgw13RnJUy2t7OvGLEnhBuNPVfoMQRIkAIF88rIYRDLDaCpn17Hjdh6OA4c1Qqj7Gy+iVMs0CxcCfd7gwrq19ESomqaPhBHdddwjAKqKqBpiUZHHwApztPs3UU113FMLIUCvvIZvaSyVyDoui47hK12gGOn/hVpAxRVRtF0aiHCqo1Rlw2qJPlQ/w4T/ojBEQEYA9lrpPfJEaX42xligm28hz7+CpbeJ6s3cNY/3309NxLGHZIp3ehqq9MKpyUklLpK6TTu9H19Hkfmxei2/TQDBXT1l+2IkU4Dmfe+lYa2jGcXYLcM4MYiR7q4gjNHxYEPZeqS5U2JB/RkPMGk6n1dLVeglcJyoO9NBKDnOhcixtq5IKz9LhHKcw0OV28hkoyg2eoeGrIfdXHKZwaYiGV5KObd7IUe+k5kzc0Nids7sqnuaeQZmvypX2ZZo9VeOQfT7Bcdzi1Oc6DWy2yXUEtprIjabM3k2R9zOQTS1XKQch/XT/ADZkEg5ZBMxS85bHjPCt9dky73H60S6ElSBdtXCfEdwJEIOlfn6E030KGkp/6g9t45g9vorG3AmfSnDj4P4h1q3SsXnqv+QjXvWYn69f9AvX6Mxw4+AC7d/0FxeJdNCtOlAoeSiqLbb75idOU59ukCjaFoSTL0w2656qErhkBfW5vnMPrbBRNwZeSmKqwr6min2lzKqdyYsgk7gn2zvi84fphtq8GfPPjk+y4fQin7bMy0zxv4K6oCg/8X9ddoob1vABNU8+rliEiNJ+YKvPZI4t03IDbJ4qMZ2L8z6+c4omz0fUtnzDQFRhLCPYMWHxtSeX40gVTcABTV/ECQV/aImUbrDQcHF/ghYKRpMLe2CqlWp2ONGmm13OyEi2WDWRs+tIWbmWJWtdnQK2TVDxG8nF+9Z1vI/6CwgpffG6R//bpo6w2L/VkO4d7tvYiJDxyfOX8e5mYQdcLWVdM8Guv3/otpa79IOAqUXQVV3EVV3EVP/B4YdrVJf+TkpmjFcpzTTRTw7A0DF0hCCPVSrfpU1lo0axceCgwYzq5/jhO28dp+SSyFgMbMkgJM0fLOO3oASTwBI3V7gWj4m8Rpq0xMJGlMJTAaQdMHy7RaVxuogmgKxBXIa+ptH2XVWkwpAn6wwrZsI4e70fXLHTzJR5+FYG1PgZKDH+5jWgHWONp0BTc6QbSF6Ap0Rj6Am/yK3gnPsXgb/866bv24cyV8c7O4Bw9jN5TJP2qm/A+8Rv402doLwq6nWH0gXWEjRXClTnU7G6M4d0oiXWoYhWrcIbWXT8KpoJhWcSVJTKlh1ERUcqPokJjHrl6kspCmVznEOpFHhNz6igzO9/JLW/62cvTZ6SEE1+IVCO926BvOyuLPjOf+xSJ5mGSfXlG9t0eKSPq84hOFWfktSycWKG1sEytneDo/kvLew9MZLj/PXvWiD6FZEa/TI1yCbx25F1z8IMw+xS4DRi5ITouEUB5CuozF7o8tJegXqHcLWK6C6S0VSQqKgG64r/4fl4EvmozM/wWVqwMS3aMb/g6B5IbsYTHqpHHVXtpI3DMC2NXNHSabpt00KJk5LgmMNjqqdQMWF9I8FozRhhIxEKHid099IykkFLyC3/3NB8b1fjq8ChbN15uzvyDhtN334M/P4+WyZC49RYaX/giGx/9OnoxWjWWYUj1Hz7Myu/+LtK/8N0M/v7vkbnvvm9vp4EbpXs9/5nI1Hv5CKy/E8Zvha//PugmDN8QKXYUNTLDvvvXo9S93HhENn4nECJSEX2n7awhDLv4fhUpA8rlR1la/gxSeHSdOQwjj+etIIRPKrWVMOwgPIeuN4skfEFLCv39b0LTElEaWCiZXVnmo8Y+pGZy0kuTl6uU3DwVJcGQ6fHvCquMtD6J1j5wPhE0mdyC55XxvKhUez53K7qRQcoAzytRyN/O+PjPXZJqdiU0gxBLVXii1ua5Vpd6EPJD6SYPL89wdO3v/d4YwUUpqApwYybBXYU0npAcbLR5rNokkJJtcYVQeJxxdVwZ7Tuhqbx9sMB71/WT0DQ8IZjsuGxJ2JenPX4LaAQhzzW73JhN0A0FtqqiKZxvoxmEPNfqMmabDNovj5Ba/H//kGcPPktqbIxRQk4dPcbQwhyy0SD1vvdRlXD22AkeHF7P6qYt+L09DGpdbrXqpHSbA0GaSd9kZbXKCd0k5PLjMn1JoRXStFVasWiMtFCS6whMT9JKabRNBUtR6EhJVtf4vzcN028aOEKgKQrXpeMcbzscbna4Jh1nT/rFvZteDKEvWJ6uU1yX4V1HzyJUuCYd5yeHi9iahhCC+VIFJfQJPQ/Xdel2u8zPz2PH4hwYnuAP50oIYFDTyccMTrYdfmG0l7sWQo48OE27Ht3zNV3lxp5v4np/TWplhMk74yw+8V8IPI2RO34Xy38bO296PSefXCaeDdi5bxP7Pz3F0Ucv9ULTDJX7fnYXI1uj63IYCtpVl28eWiboBNTmW7xnrRjefTWViUpI+vkGSidkw3W9LM+1OKj63Nyb4rX3byLbF6fT8Pjwf3+C0BckchZeNyCZs3n1O7ajasp5M3QpJZ87ssivfPwIH/zJG7huLMeffW2Sjzw5w3S5c8UxVhW4f6NFf7iCszRFGF5Y6CgWe9h3z2tYCWN86fkVRsUyZmOWZn4LX54V5GwF4btIp43llBkJ5ukv5rAsi3K5jOO4TMoeJnpTDBhd6vU6nU6He+65h+uvvx5d19FeqBC9CPWuz59/bZKBjE3TDUhZOsP5OAemK/zzgTkKCRPHD/FDyXtevYk37xkmFBL1onPtfwdcJYqu4iqu4iqu4uWjNhv9/HZTD9xWlFIRenTrHRYmW2SGi2SG+wmdNtUz82j5EToNj1bNZeZoGSHkmlkyICVhKGnXXBrlLn43RNEUTFsjnjaxkyaduksYSoJuQKf14sG3bqik8hb5wSSEElSolx26TZ9YysBOGDRKXRqlSLIcT5v0jKZQFNAtjUTaIt1jM3FdHyKUeN0AtxsQuCHxuE758XmkpqLFVToHn2N+VRLoWUqBgiMlmqkxvD5Dri9OdiRJQkLrU6cR4ymqtQors21awsCREl2X9CQDrosFyMAEYSH9ANGYJ3HzELG7b+XgQ9OckCG7+jIsTtbQZ5uMpAyygcAzNPSYjtb08FUFxxec0iUlXaGUUNGAMVXhzuoXSfIItn4UEIRhDk2ro1xE3kipEqVlhAgZI5RFJAagIVFREKgsoasRCSNQUJFU9TTpoIX2AivMQLWYt0ap6BrHEhv4q6H7yamSza1JfnTmY+xon+Z0YhNTie2s2/VGNl57O7hNap/4TbJzHz/fjpAqHZkhqV5e0eX8NqgRSQV0lDiH4zeQT0nSbgqr/BzL7jjN/Kvor38W0wgomnPIWAFtx+tRYtko/adnc6TWkAIO/E2UhhXLEw7fjBuYxLpTKKoW+fQke6MKXpqJqM7QPfRlSo0UKaOOSOXZnxynoipI3SCjGMxl76YhevCTIWWvgau5jFsQ75RouXX2671cqzQpWQWqfsAJo4c5O1I16QpsScR4XU+GLQmbnKFzQybB/FSdP/7MceY0QddUCYom8RAm0yrXnu5y7TEHw1AJ3BcG7xFiaRMZSp7JwcduTfHTD9XZFrdRVIV1u4sM3NzH39brlL2ADXGL/zBYIKlp1IKQonnl9KqXGwT/WyCoVvFnZpj7xV8iWFzE3rGDdR/76GXb1R/8LAvve9/5v3vf914K73jHd96B0IfH/zgiGWszkVro338Skt/bFekwEEw9u0p5roVuqlSXOqzONCmOmmy/w0RPzlCtPEWtdpB25zhcRPoYMk8yt4VYbBjPr4CI4zsq3e6TyKUWnpB0ljcRhGmEMPFFFumbFPoPoG04jgxMQqEzrY3wh9r7qKlZTOkyLqepkUWgso4zTCnrKCvROI3qHX6i2OWg18u0Z3BjJkFBqXPGVbinZ5Be0+BYu4srJLtSMW7NvnhlslXP53fPLPGhhTKSK1qvUzB04prKa4tpJuI2jSDEEYK39OcZi1mXtaegnD8PfCF5utFmf73N0402D5UaDNkGb+jJ8s1am2ebHYYsA1NVcITkl8b6ONF2mOq6XJ9JcFc+zTXpOE4o+GqlwT8vVckbGlsSMf5+oczJzqXpNXEh6LMMpKYy7Vy4F47YJm8fLPDvBwvkjKhvUkrak5M4pydRl5eI33YbH37oX5jpuuyPp3hm8w4A1DBErAXaPSJk9SIiPa6pbEnYaAIONTt4Fw2zIWA8UNjaURgVGnEhCcou7mQT25Vcf+cwt79xA8vTTU4/X+LEXIM77h5j/USOds2lFlP4vellLFXh+kyCO/IpesyXR3gGQcDc3BzLy8sUCgWCIKDRaLC6uoqu6xSLRQYGBhBCMDk5SaPRIJ1Oc/ToUWbrHrNKLyeaJqXQYp1aRVUEbTdrxEMAACAASURBVGniSAMfjW3aMjutEtrEFj42uoUFL+SmTIIn6m0AXlfM8IHNIzQWO3z0dy7EstvXewzeeQ0NfoXVuSkas7eRGvkqZx76DeAFpKYCO28fIpGzsGI6+cEE+cHkJanYUkr+ar7Er52av+Sjv7do4D5dwen6iK1p5tMqc65Lx3H572/axdmqw8nlJpW2h+MLNvUlySdMcnGTlKUxV+0QorBYczg8V+PYYoNSKzKCPgdLV3EDwXBCkvbK9FBnWK1RkzHIDLBx3RjdhRO4pTmKxSITExP09PQwPDxMs9nkE5/4BJ3OlQmmF6K3t5f77ruPsbGx88e9srLCpz/9aWq1GplMht7eXjZv3sy2bdtezlT5Px5XiaKruIqruIrvNZpL0Ypxc2HNj8KNgs/GQuQnIYLotfl1cPPPfle7JoWgevw4jW9+Bq/ZRgub6EEdu3EUT8YJ19+LvuuNxIfGSOTjWLELAaHT9qkvNWksVlg4Okfz7Bks2UCXLVZavTTCfhQEnowjufCQqRBe8jdwPt9dhDLKhlAUVFUhkbVIF2w0XUUiCTyxphLysJMGpqnRPVKiR1MY25RBH0zhVbuUjpRRFchqCtoLgwVNIX3nCKm7R88HElJKWlUXw9KoLrVZmW4ytqNAti+O9EOck1VEIFBUlaDcZfHgEnFbp1buUFah4EpyfnRf7UiJ6zoYukJCs0ABZW1lVYgOAotQwpcabbpGDE2AYyg4PSZdS2VOl5i2xrpcnNtHcmwfy7JsSn7x4BSzYUg9piBVhWRX4BsKrq4QCyQ5DzRfgCdoxVSErmBoKjUtwJABXdWi4Nd5Tfkx/uDk79LSCrTCV9FSY5zNLDBn9dLQ0hhCoc9d5CNDd/Fobg8/tvgFbm5OMeyUsAkxZIhLALrGKTXPZGKABauXW7oLJGMJxmvHKIeS963/z+Cnibd92jGYy6RQpEK/r/Cq0RzbkjGOtR2aQchGVPoe/Qfuq/4Fff6lqTghKn869FYejt3H3vY0e4LDpIMp/qHvNXyteCs9zhJ7l2aIeyGHegfIyxJvWXqIqcQ65pKj3LryGLubJ2joCUa8Eol4FqU2h6qECDRUQhyRoByMMWCcQFVCZGoIpbWIVA2U0KWd3Em492epZPbxyD+eodvwSOYtRrcX2Li3j0nP5fiBFfRlh6PCZz6poK5P4Q3FeK7VxRWCewsZQin5erVJa+2BWwUMVWEibtEIBDFVJaNr/OhgnretVXlxheDjS1Ximsr2ZIz1cevyOX1urELBE5+aYurZVexzVelqLvmBBDffv4H8QIKZo2Xqq12KIykUFeIpk+e/sUC36SOEpDxi8y7q/IfAZuezLdyOzxeLcGDCwjWvrNDYl0vyU/EM4UKHylwLJ65yxoaDq010RcHMW9xQTPFDG4rsKL780uKvBPzFRRbe98uk3/gGcm95yxW3aX3jG1gbNjD1hjeSecMb6P/1//bKdUBKKE9G5Lv+ypolh6F7Pu0rer4XBEGbMGwRBC0WFz9GuzOJpsXRtST1VZ+FkyHt1QKhkyY5dIhEzxn0RAX0FuoadRIGJuXqNuTqEKIdzUenNopbHaHfLOPFCpiiS6lpEmAQKjDTo7OQ10maCnpC5VRCwUEhkAFd1UBoAZoUrKRswrX0lVuem+PHDkyD0BDtNmMzDxHrrvLMje/gmW2jdNIDHFpnM61H582E1FjUJe1QXDYW5/Cr6wf4hbHI8LYZhDzf6vJkvc2j1SZHml2aYcjbBiICZWvC5q5CmmYQ8vHlKlsSNnckE5x9rozvhGT74hRHkpj2pYRos+KwOtNcU11Izu6f5vjDp1EtEy1mkbAFW2/sZfGGDfzG5AKHm13yhsbuVJycofPgSg1/LR6zJcR9ScWMzo0By2DZ9RFAVlWREupSYAnJlrMNBqo1PMA1JKgpWrZKoAqKTYO+ukI9oXJwq00pppHxfW7qzdF1HPSzZ3k014NvmNiug1BUvDVPNVUI7q8rNBMauf44J92Q5zsOd8XjFFZ9xLKDHtPYKw3MZZelqTodRRLfnUdJ6DhuiLq/hIZCck2d4nYCUoWoSt3o9gJ969L/Zuf/3NwcX//61zl16hRXinN1XScILk3flRJCFEJUnmQTk27kjTOSEOiGyWIrRFUU1hdsCkmLuit4drbOfeMqfZVDSEPn7jc/wLAGHzg9x2f0JDUJd+VT3JJNUptusuvZJtWlDq1qpGpW9S7j9/5PzNQc3vw7Wb/p7dgJg9xAnBNPLOG7IeO7igxsyPD1aotZx0NX4KlSkyOTFc6eqqLGdNoFEy9jsEU1uCER5wuVOubZNsOazrpCnK+dXKXa8TFUyNClKkzCtWcvVQFdVfDCl+YDLF0hYWi8atiguTxDu9NFpPtJGApBo8QGMcfQ4AA33HADhmHw8MMPU61GiziGYfDAAw+wefPmy9ptNBqcPHmSxcVFfN/ntttuI5PJMDMzQ6lUIp/PY9s2xWLxstSxq3jlcJUo+n7H8vNROVanHpVrvfUXv3tmkFfx3UdjIVpRdBpR6oLfiYgDvxORB/HCBWPL7FhUcUaGkWGoFJHngFOLfvfa0C5FdzndBM2KZOa6Ff1uxmHrGyMPA7g6r14JhH6kHlCUyLhU1S6M69xBOPaZtYo0MTj7GJz80nkDUiHVtVQb5UKQYGeQqSFqfg9nS8O4zTZh/3WQ6APDotJI4HkqYQj1VYd0wqGQc0imJJks9I4mMEwF6XUx/RXwO/gihidjyMo03txJVOmhqx56Kotr9FOtW1SbcRbqA9ScPF5oIfhWy30KdCUgodewDJ+VztD5/6j4ZI1lAi2FG9gE0mDDSBNDl5imQm8hQIgOjbokEDrp7hGM+glSr3838bFNpAb6vq0qN+50ndU/O0zsNb20WKbS04NbKPK3s6t8uu0xbhiMqhrJTkDTdTiuBFRMk+Gu5PpyyEpSYyYGQ6rODlel64RMuy5JX9JfCVHyFh1D8nCPxlJMJeVL4oFkOaaiSom46LyKeYJ0CFVbhVBQrAfcN+lxfa3Nl0ZCZgsBg14TXSgEWo0nihMsWr3/6jEagcTXFSxPsNfX2TSURmgdRlaeRU/mGewuMX7m84wuH0AXPgKFjp7Exsf2W9hBtGonFQ1FRqqAg6lt3H/NH+GteWUku4KNVYFla5wlJOZK+qsBKUfQslVmizrNuIqzRkwVmiGuqTDekrx+Qw/vuGaIhH5hHi27Pn98dpllz2el7ZEwNd4yWOCeQpqUfmU5uJSSp44u8PXFZWJn/5yqkaZsZDmS3Ei3uANVUyj7Aa1AsDeT4N3jfdyaTfKhxTK/c2oRNRBcp1ts701y52CO3akYhqJwuuMyGjN5qNTg554/S0bX+Dm7wQP1OYr73sTkgTnKyyHZ/jTTT02xemyKejjA0MYsQsLxxQqeapBwJR1L4eSWBEOjKRJLLs7ZJnY94M9fm0G8YP5mdY2JuMV4zOIXxvrYnIj8Q3whqQUBnVAwYBkYivI9V91cjEYQcssTxyj5lwZUNwmDH1mGXDXgec9jdsyi1fCodn2e2Gxf8R6TDKLkI0+BcK0CUdaV/OnWUfaN5llwfVphyJALVtw476Hy5EyN7cUkFVVwutrlofkKPz3Rz0TuuxMwTL3ph1HHCuR+8+dJJrde5v0ipcCZnaTx0c9g37WHVu8yhpFDIlAVDSFDYvYQqdTOV+S7DcMuQRipFQK/Tqc7Taczhe/XWVx4hAN+jLLcyDPKFmbpYxtH2cwxelihyCp5WcNSxgmCTkRWSx/N7OApOgY+mmJiZF7F58N9fLi1hazTRfNVVpNxfAVGmx3ef/A5hk8dZ6lc4emdt2L4vdTjXdqxBD2tDmLc5BujgxxNXEqCjdom/ZaBrSqYKNi6SiAl62M2W5I2u1Nx1D/9E8pHjmCmM+RHR8jv3o3sdln6m39gqtNPc+gaVqxxpnt1VAljqwE77xpm3X2jZC2DL5XqZA2dbUkbT0h+5eQcj1Sa/NhAnvGYxd/Ml1hwLyhttiRs/mz7GJtiNounayyerqGoSpRqXO5SnmvTKHXw3QtElG6ojO4okOuL4Z6dYXYmpN6+/FoWby+iB11U4dNKDhMYCXbstrn9P93M8bbD+riFdVF67d9OLXPyQ6cYWPJIhzVWzAyP7rCI7ywwLjSScw7xR0sYIbRsBV1AzJPElQ6hZuIGOgPDJnRbtFuCHGWsI4/hmWmObHkdZ/oMjoxb+EodT9dYLuTYsthic2BS17pIr0ah0cPmEw5CBXPttLeTBs2uj5W3EKsuqqacrzzpOSHJrMXARIYdtw9dYvTfrrkoqkI8Hd1bmtUu8bR1iafNy4Xv+yiKgq7rCCFot9vEYjF0XadcLjMzM8Nzzz3H5OQktm1z7bXXMjY2Rl9fH6dnFniuLFB0k2Q8Thj4JLSAkVhAqdHlj55q8NxSBwWFUEp+ZM8w7371JoayF1KuLvZ08kPBez96iE8/u0A+bpAMauxhihNhL8fCPmx8rtli8OjY0HkN3q5kjPf1FIk9VSGeNjEsjbnJkzjiS9z5w+8n25MlEJLHay1GbJN1cQsvFPzSc2f5+HwZJZQgwDhcQW0HaDEdTUo858rqUIC0rXP31j7GtCqrRx5l26YNTC9XOVgx6LcDeoJyFEsAipXATGZouCGlhoOlBMQUHzVa1kKioCuXkrLJZJINGzawadMmtm7dinrRnHZdF8/zsCwL8xUo7PBKYao2RdpKU4xdueLfvwY3dPnYyY+RsTK8fv3rX+HefW9wlSj6XuLUV+Bz744IgNCNSrd2KlFwmR2NKkxMffX8iQpAZhQm7rqgNOjbDhP3RpUrZveD11mTwsuoEkZ2NMpnTw9GhMCGuyFR+J4d8neE6tmICDlnEprfEAXd36+QEkIvIg+61eg7K2yAxNoFqLUSmUqeM4zc/7/gC+976TZfDlQj2peirs0x78JceyE0K/LT2P3WaJ5IGfU1O/rK9ee7CKftM/n0Citnm2R6YuQHErQrbYLpA0ivjeereIHNqakEiIC0uoiltmnIQQJhoKkhccujkHNBt3A8E6fl4nYCFE1HN1U0PHS6aKKLLtsUlElsygjVpksPc+0N1MUwmiowZAspwVYb6IqHpbYw9ZAgt4Wml6bRjlFvWYxtzbLxxgFqy12qS21qyx1qK11C/9w1QKLhAxKJSlIrk9aW8aVNQq3SFSkaYT9tkeMymfLLgKqE5OJV+rJV7IROOmdSvG4vZu8oIpS4LY/aUodUxkT3V3BPPEVnbpF6J4YndOabg4RSsmVkkVxeJZXSMOsSr7EdqSSQoUD4IbJxaTqY3mPR94t7UTQ1Isj/8t4LRFpiiPDa94AM0WQZ1dYjb5tYFlID0atnCxg25dPT/NNnvsGikkBaSZ7qz3IkrZyXyZ/DXc8+g5nV2eU+TdFf5cHkPtJVl4wT8MzmzTRjGttrS2xsVXHtOt/MbqGtxdncnsMSDp/u3Xc++L12ocq9s4+j6h7CkCRdjzmjn1i1zR2trzCRPEMnnqOaG0GXITmvwpReQHcbbG+dJr0W5F2M2d69fO51HyLoVhlrnGZj7Xnipk0qlkbTDLyZ/VTKSwTtKobfpGCa5Ee2RNec01+JUqHOIZaHdbdHKVDdapQ6WJi4UE5b1aJ0wGQfMjNMZ/wODpxu89mTK1TrLm8fKXLLHSPohkan4TF9pISmKeimRmmuRX4wwfjOIuX5qLy8oipousrG63svqSj2SuGDJ5a4rphkez7B47UW12cSlwRX3y6+VmnyM0enqQch9/dmmYjb3JBJsOL5xDSVGzJJ/NkWf/34WVon6zh9Nv+0zUR8C7H+b60bJFBhyDbZmrQZtkzs7yA4+l7CF5IDjTZfqzQJpeTGbJJ7CpcbOwdeyJMPnmHW9eiui6MVbYhpNM602DeeZ/tw9Jl2zeW5pSYPz1b4sNuiFlNRFQV/bXgGKi6GVBiOxyiHISeSl+0KpCTr+lgSdkqd9962hVBK0rrGxjUSzhWCz63W2Zyw2X4FQ1vXXWZ+/iOMjr4DXY924nkVVlY+T6d7liBo0G6for1yjNCO/EWSic1kczchhYfnlWmszuC4syh2G7k2MRT1ys/U8fgGNC2Gafawft27SKd3EQRNKtXHEcJD1xJY9iBCuDjOAp67TKt1As8rRZW4EDQbz0UlxK8Ihccab+RPM28HIBfUyYcNJq1LU4Y1Ici2vKjilQpJEdI0VUpWHCv0yHUbrMZzhKrGzpiBUDXyqkLfqWNU5xd4fMceHNNiuLzMUraAr185FciWghubJe63FdYPDdKVoNVrNBp1AEzTZHx8nNHRUSqVCvPz80xOTnLq1Cn8NX8oVVXJ5/O4rkvMNLnOcWjv30+7q+H23Ulvf4vV+BiLc3kUXZAe0Hj9T91Aru/CpAmE5F3HZ/jEcqRsKMiQH5ceg+U0qWWfvnVpcsUYx59YYvZ4BaG6qMJEQQUk6e4C8focA4uPk8gYBNtvopzfznw9SavdxTcbxDtz2M48ufoq2HnswMMc6cHedy3tWoXM4CD9mTyP/3/7KSW2ct1Wjz3/6dWceHyBs88uMXLNAMtTdU4dWEHT4IZn/h9ilRmayWEO7HkvUr0wxkNz/0LfygG6sR5UEbD73W8hd/+bEEISeOFlSqfWY98gLJcod2NUmgbPHBZ4voIEOpZCX9zASpiU56J7iKop7HnNGKEv2LFviMc/MYkUEjuhU1/tMrazyLZbB7DiBsvLy8zNzaGqKtlslmazyfz8PLVaDdd1L3k5jkMYhmQyGXRdR1EUYrEYrutiGAbpdJpcLsfExASWZRGLxRBCcPDgQWq1GmEY4nkex84u0Q0josgVCs1QR1OgkIqx0PDoSp28BRsmNkKqj2PLLRpOQKnp0nB8ms7lRQAMTcHUVAIh2TOa49rRLK/Z3s/ukW8t7tg/Vea3P3+Mw3N1TFXiXXSTUBC8bqfFQSvNTCiRhspob4JHb9mGedF97Iurdf5geolWEGJ6glOTVfLjaf589zre9c+HKJ1tXLbfW9dl2GdN4zSq/H1znACb99y9ic29cT558CxhfZkd2ZD1Q70cPXKYhYUFtm7dylve8hbq9Tof/OAHCYKAa6+9lnw+z86dO1FV9RKix3Gi1Ebf9zl9+jS+77N582ZM06RUKtHpdNi0adP31QLHS6EbdHly8Ul+/pGfx1RNvvgjX6Qn/q2n/h4tHeWJxSf4qyN/RdNvcu/Yvfz+vt//gTn+l8JVouh7ifmD8MSfgWFHwXxrJSqvKsOIFGmtwPp9cMM7IyXIR94WyZJ1K5Imh0FEEIm1C1xuPAoGhB8FCrl1UJ+NXk50EyZejMq2zj8dBWCbXgvr74hUEEYcZr4ZGYIOXQdb7oPl56A6HfVv8+uicrfncI4IaZeitipnomBN1aM2nvlQROzc/PNRn+afjvo+eG1UpvXZD0VVOTQdAi8qx4oSBSyaEfU1vy7aT+kkHP/s5WO48dWw/c2QXw8Lz0RttEvR5zUj2leyHzqliIRL9cPANVE1kdZKVMY2PRSROKoOqb4X/75EGPVDtyIjyOOfjcbZa0aBV6cSjYHbjBQ/biP6+UKkBkC3146X6JjNZNTO2Kvgtl+KKpHY6agyjhGPqpUoWlT9xExExE7pZNS+oq4pV9Qo6Ev2rb2nX1klJGU0Z6pn4cTnInKxtQTP/uOlJJKqw563Q9+OSJ2katHxmfGoT4EDvhOpnPLrovk2uz867vRg9DLiETnFWhUgZPSelYrmjgijcsHl09H3lChGZrSZkcsNawFZOcPygWc5e6IT+YYMJVF0lfpijdmFBKqmYNkq0/NpWi0NQw/wgyurYVQCisY0+VSTJkN4oUlMrRPT2oRCo9W1KDt9qATYahNbbWElbWQYEgSCUNoEWASYuIGF61+6SppLd+iJLSDQ8WQCzxF4sREUTcNtB3iuQDM1UjmLVCGGZiic3B897CsKpIsxsv3xyLemL87QphypvI2mhmvndCMau241GseeLZFniqoROl0qc3UqMyXCEEIMOp6NbtvYMTANiaJpWLksMozStXwvxLA08gMJ0kUb9aIAtnOkhHOmxjdlwMmOw4znkfQkG1oCXYBQQJWRN4ohIzPKrY0QQ4BUwFfhq706MwM2oa0RqgpZqXAiqRKaKjqwOjXD5iDLW2uScp9GF5+wu0yn+TzxcJ7rvMdZ7069+PkJtOxeDqRu4YnYMP3BLFm/iauadJUU0u3FjOVId9v0tE4iujAQrDBqPfOilaL+NdTkGJ7SR1JrYTODGrZefOMNdwFKdN1Bgp1Fdiusqgnm4iOMj19DPt0TVTQSPjz9dxHZo9sXzqEXwkxBZig676109LnyVLTt+jtg+/34ziqN9jGqOYtkegem1YOhZzHNPKbZe9mDjBABYdhB11P/WzzkfDuQUvKbk4t8YHblX98YGLYNfmKwiKWqWKrCjmSMHstg1fU503V5/8k5JuI2n79u4w/MmAohLgkMXvi/MAwxjChQdZwFOp1pXHcZTY+jaymk9DHNXkAiZUAQNOl2Z1BUg0R8glaryLFjR1DVkFLpIGARi/UQBBqljsmngiFUPyTT6rKaFSzkE+ihoG3aBJrGcH0Vy3PJddpYvkfaaTNdGGA1lWWm0H9Zn8djJuO2xYrn83zbQQO2xwWhVDFlm9dbh3htMU515bM82egypd7K9pRBwnma065KkVU2qgsYRgbpZ6nMxlDOxikMpBCbniUI2ohQxWsm8J0UgZNBNnowTZdOEKM9v5WBXp1k2sToUzASKfLjdcqVz6BqMVqt4/h+hVhsFNddRogrV9uJoKDIHjQSKIRUqiPMlXqoaEkGgy49aCwt9VDpjpNspHjwhgSH18V54MAjFNpRYNmyYoSqSsuK047FKcVTNO04ipQEqkY5mWGwskpfvUygaKzkivTUygw3SvS062isKSnW5nMQT3B6/VaOpIv0q7C1soTn+aRrZZxul65pkm83KGgqTrd72RGZpomqqniehxCXp4utX7+em2++mTAMOXnyJPV6nVQqxezsLOVy+YqjpAp5XsWnCA0dC6GIyNjfNrnt1nt4uKVSffYhUm5E1GtBnITbjwg01NBCUQVK4gw1o4uhKAz5IYNPPA3rBmlu2kjZcah4HqrnkWg2sVyXpf5+AuNb98zRNZ1iOUPobL/i/+NBlY3Pf5jBfsnIBz6AXijw5d/5AGecFk09QHO6NOI2lmGQ0zQyySTW0BDr16/HNE0OHTpEs9kkl8sRhiFCCKrVKo7jYNs2fX19ZFMFtm7Yha7rdOoeQ5uzhDLg5FNLVGddNt6cR42FrKysEAQBe/bsuaSPs7OzHDlyhNOnT1OpVC47Bl3Xz6cKWZZFVdh0pIlqmBiagnDaNDxJxYFSJyBmalgEeM0KitelKS3cNWVzIFWWZYqOEsOTKrYqqL/Ic96VoCgw0ZOkL22TjRsYmsrbbhxlMBuLPA2F4PRKi6dnaqw0HX72jg1M9Ka+5fZfiPd+9BCfPbzA/3jzLrYPpllturz/I/uZaUm4yMw7HIjxrjduZXMixumOwxt6sty2/xj6qQb6mRZShXOinXOf3LYhxy6tgVtfJRGL4VaXSLgldF1nYmKCY8eOoygwPDzM4uIiYXipwqi/v59NmzZxyy23YNsRmX5ujhgvYw5/P+Ejxz+CG7r8+PYfv+T9E5UTPDLzCM9Xnufw6mF2FHfQ8losthdZai8hL3rG+o/b/yPv3vvuSz4vpeS3nvgtivEi79z1TmYaM/zqN36VqdoULT969uuL93HTwE28/4b3kzSvtJrxg4erRNEPOmoz0FyOlB8vRXK4LVg9Dg/914gUGdgdVdoon7p8WyMB/uWr25jJqHxrYx4WD0c/xUsEWIp6qRrqhVANSA+spU1JKE5c+IxTh8o0uPWIIIkX4Nofg9Fbom3cRkTUPP/pS/ugGpEiRoTRMXSu/ABxHnosUvWc28/A7oh08lowcU+U2nUOz3woUni9EJoFsRyBVURk1mGmUmtklxkRf2Y8aieWj76D6hlw6oT919Ps2oTdNm7bxyNB6qYfxsgWsJMGnYaHXKuk5Lsh5fk2TsvHsDWSWQszptEoOQS+QFGiFR9VU1E1BU1TUTQFrxtgWBqJTERiOG1/zd8Fsr3x89UKgEiBNvNElNIGcPSTcPBvLh1fI1LgELoEaoKO0ovtL6IqgkAaWEr7W8pgK/ujHO/eSTPsxVC7xNQ6eX2Won4GS20jtATpvjTKzh8hsHpZPDLJ2SmFs9VxauHQFdtMqqtoio8rkuiKx23pv2Cd9SSuTFL2x7AzSRKvey/K+K1ouoIWtlAShZeuZHQOQgDyRbc9V9batHVUTcGwNOykgTfdQAYCNW6gxnRUW0OGEudUFW+2GTUZ09ELNmrSpFrqgpSkkgY0fRRTRQYSxVDRshb2RA7R8giqDmrSjEqfL7YJyg7+SgeEJOz6KJZGbGsex9JwS11WVtscWWmidXziqkYippMfzxAzdYSUGBL6VI3QDZmfr1MXkpkbepjpuMw5HqerbaYTKvU1/5G4BAe+JRXFxVABHYkmJV1FpUcE5FsNXNdjMZ3DtS735VClJOVLelyPu+cfY04v8NjoZhQlQKIQEw4Dbonx7hw/uvQF9jaOEhcOPiadIIeiCOJqHV25UFFMSoVQsQjMIvXCnZzy72J+OmQic4ieoRjxrM304RKteoiaLFAczzB68zh2dwV36TSeqZA68mHUdgWhaYS6SjUJ1ZFhgngGT3ZBM8h2DRQJfiKJPvIqXK8EUpBIbGB4+O1o2ktUKRMCnvs4LDwNqo4cuRH6tkdGym4rIm9zYxGJfP4jHs3mUZqtYxh6mk5nmrMzf0H4IgRWLDaKrmeQwkPV4nQ6UwRBtKiQyVxHb+8PUSzchapZrK48hKIahEGLIGyjqTaqZqOpMSyrj0zmWoTwCMP2+TLVYdhF0+JoWhzbQRdXKAAAIABJREFUHkTT4jjuIqpikExufVHSpNM5S632FNXaE2hajG53lkbjCLncjeRyN5HJ7CGZ2IKqXhocXGyMLIRLrf40vl/DsnrJpPdc9L+ASuVRms2jeF4JzyvhequEYQfTjBS3ueyNhHovk/UzvKd0M1uMEg/ET3JMjNJRi1g4bImbWIrPLb0bGcxsPN8P36+h6+nzFZWCtUoo6r8BSXTuWe1iLy3PK2FZF1ZDhQhoto7S7ZxF02IEQZNOdxoFFVVLAJJq9QCe52MYW6nXG0xNTRGGBmGYRAoNz9NQlBxCtFGUKrn8MsPDIwwNDbOw8NdI+eIpDlfut4KivPRzphAqYaiD1DDMLhBDSh/lImJX13qxYxtIJTfjeksYeopKU3JsqcW8qmKbNb5g3seSHCHtdFA0yS5xgLZtU1byaAgOKVHQu10eZoNyhs9z3/nS5hd1mDuaKjdoFkePlXFjGjefrIJ30TVLCoqlw+TFMly/A+e2CdrdNoPHF5l5eomWOsFiT54zvTrLWZX+Wsg2p05SX+Anf/q1lDtfo1T+KrY9RF/fGzCNHEHYxunOoqomgdPDY58/xEdFnLatEqgqK+ksi9lLK8/ZnouCpGteSIfbuDLHL+1/BPvYcfTAp5LL0yMlxcVFzFIJdcd24nfdhQ10HQfF9cjvux0ZCjpP7sc5dhx76xaaQnLqwFPUpUQxLTa84fWsf/WryWazVzyfpZQ8+eST1Ot19u7dSy4XPVOVy2WCIDj/GhsbQ1EUgiDg6aefptvtUiwWKRQK9Pb2vihp2el0OHbsGBApjQ584xsohoHR6WDMzWFPTeHrcRZGNqKuKTHbBHTV+vk2FKFRqFxDPnyeuVSFTvzS67IWhmyZnKKrqcwND+Ot3acsy6K3t5disUgYhlSXlmjWavTncuy9917S6chrp1arEQQBnuehaRqeVMn1DrFcrlBdWWR5ZpLpqUmGsAkWFQrNWQxq2G6IWq8S6gpSUbB+4scRuRxHjx6lXq+TSCQYGBhgaWmJsbExYrEYq6urVCoVms0W5xYXNE2jt7cX13XRNA1V1VCsOP35NOVymZWVFVz3AjEZbaOeV3DF4/HzpsKeVPHR2b5ukP7+foQQVCoVjp46Q0nJINKD6LEEQ8UchhWj2uqgaDoVB6odHy8UzFW7VNpXrvAJkS9O8K9UEd3al2DbUI64qVHpeOwezjCaj9Lb4qbGQMZGSKh1PHJrJsxtN6Drh8RNjbHCy6+C9u3C8UM6Xkg+cSHFqusFvOPPHubxhUtjqLDHAkMlGEsh0wbG02W01WjBOa067FQXOWZOoKVt9o2ZJA99CYCBgQGCIMD3fTZs2MCePXsYGhriL//yL5mbmyObzbJlyxYgIod0XadQKDAwMPBdGoXvDk5UTvDAgw8A8DO7foZ37HgHi+1FHpx8kL9//u/xRDTv9vTuoeJUqLpVtua3srtnN9f0XsO1Pdfye1/5dT5VeoSf3vXT7BvZx4GlA7x545t5bP4xfvnrvwzAWHqMmcbMeXLp7tG7+bWbfu3bTln7fsZVouj/dHQqUJ+LKPbGQqQC6dsRKW5OPgTFTVGllk4JHv5NOPmFSDkyeE1EyPhOlP6m25HSxm1EZEKyB4qbI9KnMhmpYNLDkVfO4uGIoJq4Nwp0Xgp+N2r7xR6wwyBqv3QqqhSS6j/v71JbatOdm0J4XcxMDjObI1F5Ai1oEOS3EQQQHPwnAqETpDcQ92dJLD4UKTUAamfP70ZIlboYxt3yVoLsZlRCXHuYqtdPddmlutxhdbaJDCWpgk0sFeUYu52IqAkDgQglYSDI9UU53POnai9aXea7AUWB8V1FYkkjqiZl6ai6glyrLKWbGomYj2EIuo6GbXg8/4yL1w3QDZWV2dZl/VcUiW7pJFMqiURIPB7iBxphAP8/e+8ZZFt2X/f9djjhnhu7b4fX3S+HeWEGMwPMYCAhkAAFUAAJqijKoClVkaZklaxQJUtlf5FtfZFVJZeqVLY/uMqSKMkkKJs2RQsiRTBABAkiEpiIiW/m5e73OveNJ+/gD7fnTXoDDMAAyYVVdapv1+0+99y9T9h77fVf6/hpTWdOoHzJ53/DkReCTsdTGkWZgXuTYV4zmNBkiwNzDONnA97FuQmX3r/CfT94H87C7uVbCClJFueZO9pHSDlTdOWD10ozvZv1aaP3RxYF/CrqvRyX1QglKV7cJ3t2Dxkp7KikGFdkGjr1bOVnoqFlZq+NgKeWNLWSiNohnEfOwrYQfvb+N+cU2kGhIFeC/UjgBeRSUCgolGCqYRQIplpgBdjD1dPosC1L9c4npoHzWMEbPHUAFgrH8QruO9bjB9bm+NBci4VAkzvPtazAAUoInPfUzlMaw4tPP8svNbq8fzpA3dnE5xn3b25w8Vf+b8ThilYWhYSyImx0aVy4n99r/QTPddtM29AI4L62otcMkFuC3VcO8G7Wd0LWyBPPE3lHlZ1n3OxRhYpmZUiqIX5b0GrUnP2IoXviNjoMwBUEVUo9Xcf4gjLwVKIEHGG4SBj2KYvNQyIkRcgAECjVZDJ5jqJYf2uDeY8Qijg+ShQtkzTPHE7oIpRuYsyYothEqybWZkzTl9G6hZTxYWSzpNN+gLhxlCCYI45WKMttpIqo6xGDwVfxrkaqBlo3KYpN6voAKRso1SCO16iqPZRqzNQ/SCbTF96iROj3P8Kpk3+LVusSeX6Duh5Q1yPyYp2D/S/OUrmQGDOi1bpAGC4Cgjt3fomy3Drci+DeuT/fPebnPsiJk3+dujogza5SVbtk2Q3yfP1uewfB3GE/JHQ6DzIaPXn3mIRQrK3+JZRK8DjyfJ29vc8hhEKpFiCo69cWClqtSxw/9rOk6VW2t3+NopzFCmvdOTwHFlAqoap2SdNX7rajUglav1ZSVVUHeP/WSY7WvcNSJUFRrBPHa3S7j1CVO+igQxQuE0aLWJshhGI6vUyavoJSCWHQZzx5Dq0SlG6RNE6gdQfv7Sw+3HvCaNYvUmhqMz4kuXapqj0gRsouUnqMGeJ9hrUJpo6xThBFY5R6c+rfG/s0z9uAp9H4Fqq418F7eVgF7ijLNW7ePEY6ncd7QRxber0W3heUZY3WEUKEFGWXOApotXfptEecOHmBMGzSap3DuRxnC6wrGI12GA13aDYDpKpRCsKgh3UZSjaQanYNWFuQZ9cZjZ8mz28Sx0dxrsCYMVJGxPFx8rTN7uAGvd72XQPmIm8xGi+xv3cMj+BrrUd5fPld1DokD0IWJwUfe/brqPlVhj5ClDe4snSUy8sn7porA5yJND/9y/+eNOvSHb7ESmJ54Wd/mq8ORzwdtcmiGeEQmhrpHAGeySF5E9UVZfDaxPFnvrnBP/yrP4zzgs/86mX+YG+DhdGYtphwZa7DS50OO62AcaNBFjUQ3qO8o1uWnMsmPNRt8J77L/L8y1f53KSkjCLet7fJlfGUG6vH+If/2z/mflPR+XM/RvOxx5j8zudxkwlmd5feT/4knY//2XfU7wB2PCb98pdpPPIIwdK391D7XsLXNdXNm2z+D3+f/Pnnoa5n5VUPfJA7H3g/N3ZvcOlrX2Fla4v4PQ9TnL1AfWedbOM2AysYt+fZ/tG/RLa4xs4oZ1TUPNiznFpbxAZNru+lXN9PsdYTB5I4UExKw+WtCXllkRLee3KeZqjZHBXc2E+5tjvl9TxIqCWnWo65cpueHbBp22y4Hh0xIwgskmU5Yc81mfgIHcWc6Df56R+4yDA33DrI+ObGkF4jZKEdcnUn5clbA1Y7IYtNzenFFruZu6tCub6fcm03pR1rGoHCA84a2tqT1Y6jckgVtPE6IpaO/bRip9TUDoyb3TX6uiT0FbWXaBxb7t6Km0ag0ErQjjSnFptoKVntxVxa7XJppU2gJEXtmBQ1/VbEai9moRlhnGeYVwzSmkFW0dGe1aZECIGzhmo6JogivPc0u3MIKanLAlvXWGOwpsbZ2b0zbrXoLC5/SzWny3NcnuPLElcUqE4H3e/jqoqDf/V/gBTEFy9RXr5M+uUvYSdTvDGzBR0lCVZX8XUNdU29uUV8//20P/YxWh/6IPJtjJa994yykof/x98BQOJwdy0DPAvNgr20QSgcf/lMzoNrXW6v32Q8HvPYY4/x+c9/HoAPfOADfOxjH7vnZ1RVhZQSrd+54up7jYPigPn4NfLbVxXF5Zcxu7vY0QizvU104TwiCMA58m9+k/zJp8jrlFfSmzS2hsznikwapk3FqOGYNGBF9DjXPoM8dYz58+/CG4udjKmuXSd78gl8WeGrCpemfPYvX+Tnl16+SwQlOiEzGSc7J/nBoz/IVza/wkeOfYSfvO8n2cv3uNS/9J+MWvg7xfeJou8xvPf4yuJSg+qE2NHh4LQTMvn92+TP7SFbAcm7FlG9iOhs77sydP0jg6lmZM8fEarckI2ru2qY8V7GZL+gLi0bl4cEkQQh8NbjrMM5f5dQmFtpMr/SJGmHlIf7qfIaqSQHmymXv7b1bT79jZBKsHpuVnucTyqkzTFGYC3UlSdP762OSrohrV5E0o3orzWZ7Bfkk4oiNYTxLMpb6UN5du0oUoMQsHq2x9LJNkGkiZKZEmU6KLHGUaQ1QaiIEg1ixnUsn+yQdEKqwjIdFuSZgW5AJwmwzhMBd/KavLLgPMJ5wkgRWxBTQ+08rU6IYLbCsf7Nfa49s0tdO5wAXzqccXgpoHbca7G3bmnK+QBVOUYdRbnaYE0ohPEcVIZm5jBKwKRGTg06MxgtiDJHUL6x/Z785CK/13Skh2VpZ8eO1QOLA1oOHi4Ux7OShaWQlfsW6R2bY2Gt/V2d/944zLBE9+PXVt5ri8stvrbYSYXLDDLR2EFJvZej52Oisz1cZqjWx6Rf38Ls5uSxYpxIbkSCJ7WlFhA7aBhP3InYjwUbAXylBSMBkRC0EOx7xxwCA6R4voXW7g2QgBLQRtK2npZSNAJFw3qaCOabId0kJAgVSswSvHazElU5loUkbIY0k4AH27PBSmotmXWk9eynElB4uJkWBFKwlkS0asfSxogH1hq0FudRSYPK7DOdvEhV7VCWOwipyfMNBAIpQyK5hH1mneHXfpMiPMAc8wQbAh+FuFjgFi12SUAk8cLivIHDVpCiSTGJcXWLRjJPmTtQ26hwggwzQKDFAl5mOPemiawXs026N7XaW1s4CpfRQQclG6TZNaSMCMN5imLzkChooFSCMWOEUFiT0WpfpHnoIwKSKFomipZpNI4RRStvUbW8HYyZIGWMlAH7B19iOPgDhsNvUNX7VNUuxkzQuo1zNUJo5uffT6B7WJthbIqUEc3mGZwtqOshebFOHK/iXIWpx1iX0+k8RK/7yN3ylbhxlFbz3Lc/uHvAe09R3GZn9zexNmd56UcQQhGGfZRq4VyFcznWZuT5OqPRUyidEOguUsWEQZ8gmD9UGGVMpi/MiLVolTy/xbXr/wv2ri/TTOaYJKdoty/Rbt/P/NwHabXO31XlvHpMZbnJwcGXeOny38d7g5QhIBBC0+9/mEZ8lLLaoa4PWDnyEyTNs0zGz/LKlX+EMSOE0LTb7yEIfpg8O00QNPHek+c5vV6Pubk5kiQiiicIIElOIoR63TFYRqOniONV6nqA95Zr1/7nQ3VVgvM1YbDAZPoiZXmbKFyirHYoyy28tzNfGW+J46MEwX2U5YSiuE2edbBOkiQSpbYQwiGlRsoA7xzG7hwex2y6V5ZrTKchWaqJqpzWMAMjqAmJ2xPkggS9gGhL8D12d3rc2VYIaXFWUxQt2u0eJ0+uUFUZi4unWFtbQ+sxzWabhYVVjJlSVls4W1KbEVW1R6A7aNGh236YnUHKE0/8LrdvT1hbO8rZs2fvxhD/SZctOFci5b2Twj7zf/0GhfkiH/7oJ7EuYH7+Ijdf2SGrRsz1e/z8z/88MGvZcZzQKgs6jQbW2bteHCsrK9ze3mGn1UFbSxmEfPHCIwyje6gCvefsdMBPnT9NDfzO7W1sXTOcplzIhpysC87FAU+s32aju8AXzr8bgD/3B2P6Y8e//nCL6jCqXDiHP1TT9CdjVuuKnxlt8VM//iPoublvOTnxxnDjp/4ixXPPMfczP83y3/t7/8lNZora8uUre/zy4xtsTwryytJLAh5Y7TItDd1GwPvPLmCsQwrBe0/N8831IZ99bpMjnZhj8wkHacViO6IRKNx0Ck89jv/Mv+HotecQwO1Hf4B/9thP8fhmhvOztKc3C1pCLVlqRxykFVn12gKZkoJjcw1CPSM88toSacmllQ6dRsA4r3ny1hDjHEvtiFMLTe5bbrPUjug0AvanFb/0jVsUtePWwWtR4Ed7Mc457oxfI6VXezFHew2sh29uDKlft7h2frmN8569aUkr1nzw7CKDtOL6XsqN/ZST/SaBFjgHvSTgwpEOznv204q8smgpKI3FA194eZfldszaXIPNYY4Qgg+fX6QdBygJSaj52pVdTFlQ1YZBWvLx95ziQ+cWOb/cZLhxAyEV+d42ezevsbd+EyEEQdygLnLy8ZggjmdbFDO/dpSjFx8gG4248/KLDO5sEDVbCCnxzlHlGTeffRpbv5nsfudodnssHllFS4nKC2RRkQ8HTKdjKgHt0YRmWZNUhtBYhBDMnTxFXJSUr1zhDVfNxQvE/QV0EICSuOGIensb1e0itEY2mxTPP48dDpHNJkv/7X9D71OfAimprl5l/Fu/Te9TnyJYnpGsv//8Oo9fvsmzTz3B79enOK92Gag5chHjEXz27/wga4cm/deuXeMXfuEXZn1+/jyf+tSnvqckkMtzxr/1W1RXr1K88CJ2NKL90Y8y/1f+MjIMZ/134wbjf//rqIU+8YWLxBfOv4U8895jh0N+6/Kv8d+/8I/5G7sP8tHgXQTPvUL61a8dWle8PYpYcmve0agEnbWTHD/zbg7KAXduv0QyqZmrAhqdOYSQlNeu4bPXrjXV7dL84AeRrRbWGDZ/87M00xx5bJXN4y3SOOKFZsV83iKsJKGQrMwv8tAP/hniU6cJjx2jurVO9vWvU29tIoQgPHWK3l/4C38sbf4nje8TRd9DmGHJwf/5ItWtyT3fTw8fAkYJGs4TCKAX0XxwAZsZNl4ZYhGc/dFTmFiR7heUmcFLgSkM2aBk5ZElWnMxcStAGzcrfwnVrKTJeYR+Z0aar5f0vx32NiZUuWX/9pTNqyPM4cM0bgWEkWa4m+GMwxqPd34Ws3snfVtVTaMdIKVASDEjkqRAHBJKxbQmHb59Db+UggsfOMKJSwuEib4bwXlrN2VU1tRKEEeaAxyVmikx6hsT9J0CrQRBogk8xLEmaWiEg/pEk23pkIlCOpChJFyM0bFGCYEWsBAGvL/XIvguyIzUWA6MZbeqya2jQYmwYzZqxVMTw7OTCXPaU3pJZgWXc8fO656bTSXunjNvhgIs70AXcNjPZ+OAs5HgpVsFmXMQSuLUYlYbaC2pvWc+0GyV9d3km4VAk7lZfHOiDrfD13XtOBjMCLQYcKEkCiRn9ysujSuUqHim0yBXijlTcqeh+Np8woPZTIV1pSkJPHxqscd/fnqZU42QncpwUBu+ujfmK3sTAg+Nw8/VQnApDPnzGzVT77l2a8CNrGK7o+l5QYpjU0LkPJGd/WwaODexODFT68xVnlPTGdlwEAk+f7rBp49qtl5nSvqqL8/r9QVKwGoU8t5uk4faDbbKmq2yRgpBLAWJkjS8535Xc3RlCc9MjeOYDU4dHufhYiumpRTR4bn0TstWrC0xZshk8gJ5fpO6HlGbIaYeUZsxUmiUSrCupCzuYF2BcwXOlliXz167NyomlGphbcabyRelWggUxuTw+tIup/BGgfI4E+FNiKvnyPbX8DbAO41AY8oGQlWoMEWFKcfuD0BN8N4QhWsoOU+juQB4imIDrbuEwTxJ8zRxtMp4/DRVPTgkDGIC3Z59r3KLbufd9PsfQh2W1gBvmEhaWyCEQsrvfR2+95a6HhAE/Xc8kXPOsn3tCs46pJJYY/DW0mh3SHpz6CDAVBVCSqTS6DBEfYsBpfceW9cIKZns7SK1Jm42mRzs452j3V9ACHF3vPb6/TlrMVV5SOZbnJ1t1tRUWUaZpVhjyEZDpNaEcUzc1uxtPUmrd4L55YtkO7uMrlyl1e4CcOP5Z9h55WXaS0ssvOsh+qfPsnb+EsGhj0KaXiMMFwiCzqzcKs8QQiCkREiFd5aD2xsYUxO1u9y4fY0XX/wi02mTnZ0B1DXd/V280tgwYtpuv0G5+sADD/CjP/qjbG5ukiQJCwszSbnWms3NTdbX1zl9+jQwG7zv7OzQ7Xax1vL1r3+dLMuI45hOp8Pp06dRSlJVE8oSNjauMhqVd/0iQqU4F0WEacr2eEJ8cEB/dwdpHY08JypLymZCqTTTVouwqlicTmmUJSoMUYPZ97knlEKEIb6u0adPY0+dQl66SPLDP8zqiRNvKOlxeU555SrVrZuYrdlCi51Oqdc3cNMp4enT2NGQ7Ktfw5UlC3/9rxOePoUbjdArK/g8x06mmJ0dhFY03vMeVKuFKwqCtTVEFL3l/Pb+0L/uMKTiOzn/BbP+/sNiPB4jhGA8HvPUN56lO9fi/R/807MyoapiPB6zsLDA/v4+jz/+ONvb2zSbTa7eWufJdp9GkkBZUnnP6tYtOkHAf/1f/TU6nbeae78eBwcHPPXUU1zJS/5R0KcIZ/enZpHxVy4/TevkKbajBotpxrM3d/jv3nOWsx/54Hf03ar1dca//ln6/+Vfma3A/zEiLQ039lMGac0zG0P+1Ok+3nukFEgh2JuUTMqacW6YFDV5bTHOY60nry3DaYGZjhD764y2txiLBvuyTS0DokbCgz1HGGieGzj2phX9CHZtxFTEbzmWe5E9b8bxdsC5Jvzudk0z1PzF9x1nqRUy2t0hCgM6vQ5JkvDBswsstQLKPGMwGPPSfkkSR+h0n6Qcg6lQQUi7v0B7YYFmbw5rDOlgQDYaoHSA1Hp2T6xrhlt3iNvt2SQ6ywjiBiceejdbU8tXr+3z6Ik5TsxFKB3gvefWQcakMDyw1r177Df2UnYmJcfmG8w3Q6I3JUV678m3txlfeZnB408wrnJaS0usXnqQm1cuMzIlc2vHSDpdlk6dpsoysvGIqijonrpIOwnAWqIkQUjJzWefpphOac332bryMn/wmf+HfDx6c5O+tR+kpNtogXMY71BAjKA2BuMdBk9qXyu/Et7TLmuMELN7l1JIIZgfTmhOs1d3SljXiFYboRR5MCunC5RECoX0DlFWCB2g4ojp3i7boaIINUYKjJRYKQmAZhhjvGPsLfea90rv8VLSX15lfr7PaDpm+9YNgrjB0slTNNod0tGQpROniFsdgjhGBwFKKTqFwf2zn6O+do3mBz6AHQwoXngBgPhd7+Lkv/5FxOsSv37lV36Fb37zWe6//xI//uM//rZpYNvb23jvv2VJ5reCnUyQrda3vdf6qsKOx+iFhdkizSuvkH7xS0y/8AX0wgIuTSmvXKG+fRu0Jr7vPnxdU77yCiIIiM6dm5EyxVu9Wtuf+DjhseOkX/oSdjjETqe48VuNuaedkBfeu8jB0TZf4BWmMVQBnMk75HWKdZZRW7F26l38wOk/w4+d+bG75V/ee576jV9lb/0mR87ehxCz54sKAtxkysHOJnmeocKQ/fVbhEnC1tVXSAcHNOMGsXHUWcY4nF1bUW1oFTVloJjGIVFtWJhktMsaiyCNAmqtMEqyNL/AJ3/hl77jvvmPEd8nir6HGD2zy5OffpGi3yCIFYO9gsp5wlBiSsfBm4gQpQT2bYiAdwIBHG1qTp/pkm9MmBjPsZ84i4o1B3dSbr2wP0tXEoKooRBScPsgp9otENYz6Qcs9xo88vASzW7E3sYEqSXTg4Ld9enddASAZi8ibgZ4PPm4Ip/URAsRYRLQivRs4CCBRCNOtcisYzvLUcUBbjkht4aRzxkGDSpr2B9P8Leu0psOicucbpIgVEDoAk40GkTScXDzFex4iK8KXF3grcE1mnQvvotAKXbGE54Jmuz0j6CtYWtxjXG7RxWEeCHQzuLCCPM2TaxMjbIWbQ1WKYzSWHVoGO0dZ26+jPCOotWlM99jknRZ0ZolDWNrGR9s0R3u8bE/9V6yashnd/ZIrUcwkwRfs8vYQ9mptIb54R5OSrQ1CBxH6k32O4uQSAIqegw5x0vIWeAu2xzhJNdpM8IjZwQEkpQmYzFPI+jgRYBEEJGROkVf5qzqjJ6G2ktEeYNe9TyRn5GXKjrJqVN/A+GhN/8hIjmL4XW+Jp3eZHfndzGixKAJbYUXKYHuEIYLLC9/kjBaxtkKU2cMhl9gOHoGYwYUt/eo1DY+KnHcw/Ab+Df2b/N59QjH/G2Oiatk5Qm+HF7C3IOEOzexSD8r0SolTANBqgXK+bvlWG9GcFji9a2uqOjwb16lMh/rNvlYv0NXK9bikEc6Cb1AY5yncI7cOea0RkuBr2uyb3wD0WigWi32/8W/xOzsYHZ3KK9dB2uJL11i/mf/Czof/zgiDGclSuPLjG58ldoMKVtjrJlSlFtYO6UobiNEQKC76KCDVi3sYanFq9ubSR6YlddI0SEI2ngszhZ47wn1MUylcXWIDmLwMfgA7yJMqchGnqqaMNnZps5qisFJbN3Hlk2kqrGVQogEZIswyYk7JTpYQrh5nPEsHO+wcKxNXRjyaU2zF929j412BuC3aHbatBcX6a8t4t02dZ4z2d+jSKczkkOqQ+8t9brfD1+/6rcgJUJK0uGAusgxVUWZZ2TDIXVZYKqSpNvjIz/71wjjb+EL9CeEuizIRiPAI5WefR8hKLOU0fYWg+1Nhpt3mBzsoXSADiPAk42GCKlQQcBoe5Pta1fe8WcKIWn1++gwQmlNszdHXRQU6ZR8OqGcTnH2nZt6K60JGwl1UWDqt/eb+MMgKWuKQOEOB8NKKZbyKMgsAAAgAElEQVTvu4i1FiUlc0dWmOzvcXB7g+nB3tvuR3hPLEKa7R6iLpkUUypv75ZZCu+Ja4sAYinxSpNLxWDtBMLUCGuQSmGkgqSFLwtkVeDCGC8VwnvwDuEcoirpeUN/+QiNlWMMDgYc3LnD6evX6Q9GSKWojx1DXThPfzgkHI3wL79yl5i5e8xJguh0EP0+PkkIsgw3mVDfuQPGEJ4+TXzxIgiBCAKS976XYG0Nb2p8WVFdv4bQGnMwwE0miEZM+eKL5M89f3dALoLgNXJMCHxVvXXlVkrU3Byy2cRsbaF6PYpWm90qIz40rfVC3L2Pvmpu3KhqGpW5W0jhgDIOKbQmDTWBMdRqZmwvPDgpCKzFBtHsObzUR77vT1MYx97WHmle4MoCqSW+TCHdBwROJhjdpormGJEwtZb5YkJvvk/74gVaypCtnuMvfuxBdiYlvSTgy1f2OD7fpJcETArDyX5CM9IEb5NA99tPXuHy+j4/9OgFLqx0UFLgnGc0mfDrv/arjEYjFhcXCYKAc+fOkTcWubW5z2hrk9FwyEOPPsz5k6t347R3JgXj3HBmsXl3svbl51/kl6/cZJznfOr0MT7x2BvH5d65PxJS7F7w3lNkGbvb20ilEbbmySef5/bGbeo8x6oAm09xzmOjNlGnR2+hT+Vge3uf/YMh61XEQV4TuorQ1bTMlCd676EWmsVqj9PZdfrVAbEtiF1B5KrD80bghSTwhsTcwxvzHSBeWqO1egLd6rKVWuZiyUrsWTl/EbFylnakSHULd6gL2U9L1g9yvvDyLteuXOOj8gbnwil1OiUd7DMdvGbGHDYShBDUZTErZXoHmBHq39lYXSvF8Yvv4uhD7+bOi89z5clvML+6xuKJU3SWllk5d57J5h3KnR3aa0fpLS5z9NHHABhvbHD9N36NuizRccz+y5e5fOUl8u8ybVIrjQesNUgpiVttsjeRQkdWj3Lq1Dl8WYGUjJ9+Cru7i8tzWkWF8JBUNa2yQnpAa3AO2W6jmk1kqwVS4k1NWhRMTEXzyApzK6vER1YQWmGHI6pbt3BpSuPBBwlWV7DjCS7LkEmCHY9m5V91ja9rvLGz36VANhJ8XePSFN3vkzz6CLLZRHW7BGtrBGtrMyLqVYW5c5i6Yri9RTGd4Ixl//Y6w+07KB1w+atfxDvH3JFVjpy9jyrP2L+9TjYaEcYxg807VHmOf5Mva9Lp8lhjjuS3f4dgdZX2Jz6OORgw/rf/ls6P/AjtT3wcoRTtH/ohqqri5Zde4sKZM+jmH4+H0s4/+Sfs//OfI37oQZb+7t9FLy5ix2P2//d/iq9rVK+LSBLMnTtkTz6FLwqCE8dxozF2OJydH4uLiDBEdbu4/hybp46z4yqsdyTdOVZfvELy+FM0HnyQ6OxZonNnSR57DKQk/dKXOfjFT1NduQpa448e4RvNXaZxyGbT0LCK/+zoDxFduMD/FH2BwbOv8PCVHqOuZe19j/DRd/0Yz956nD+49VWOdFfptOe4b/ECH3rvJ9FhSDGd8uzv/jbrzz3D7vpNpvvfYlwgJUEUIYSkd2QFU1VIpTh66QGy4ZB8MiIfjzl+30XOHT1F/77zqHYb2W5z/eknePLf/Qp3bl7FHprvt3pzqCgibrU5euF+Pvwzf/WPpQ//pPF9ouh7iF/+f7/OnX/3OSoxRLoaq2qgRniPcIJaGVzSw1KDTqg7Z1HH72ex2WFsLC+1HMrAmYmnCAR56Ch0Ta4DMqGYhoKzdyqO7FV0M4crHQzt206Mm5KZSfJSQllY9icl6bjixqmY+VaIupXRGBuS6o170C1NvJKwtxiQLkXcSOBZPZNu3ioqIimQtSeXniM7t1kebHNUerYbbRp3btKZDPFCsLq9ztz4rWkJr4dTijpp4KxH1TXa1DPGH8HW4irD7jxVEFGGMcuDLU7cusKwPYfwjiqM6Q93kfdI1ABAeFQgDo1iBCIOIWlSVxZf18hhdu//e7tjlbNBkHrT5/3KJ36aG0fP8Oitr3F68wZeKOo4IggKjmysE41ryAz+HnGdAGEjImpFRM0GQQPCZkij1QRpsDWz8jEseA7jcz3WpUidYeoakzvKqaDOPDKAKrWUE0fUBlDUObjao2NN58QenZNDXCWJ50uE8uChzvRsm8Z4FyO1w1YgRAS+RuicqFcQdSriudcmkZoVFPOofSBYxCRzuGoOZ2LiliFsOuJ4CUTKpPwcWifE8Qp42N75NWp7Py9UP8S6W2MuvEFHDjmrNunKy1g/RaCQIkKJDs/qP8/L4f0caXpORAFrYc0Cu+xVKXuT6xypnkIKTWlrpumAg7zBZjZPYGtC7dijy43wNHEsmAty7nM3OC/34aBCHJQErWXipeO4psBGBeXBbYJpgveO4caQ0b7GT3NkbVHO0mg4/BFQukGYLJNrjSlv4BojXGCxlcQJcEbONivwZQNBjBQKZxManWWCRGGqlI0nhvTPO6TS2FxTjSXl2FFl4KxE0MGYRZxrgC/xdgBi5r0zo8c83heAQBCACBEiwPsaMOBrpKpxZoCz9ybz3gDviVqzlAdnHf2jxyizDFOVd1UDpq5ReqZuSQcDTPWtkn3+cJBKk/R6hFGMCkN2b16ns7BIu79IPh5h6oooaRI1m4Rxg7osac33ccYQt1osnTrD6n0XSQcDRjtbFOmU3pEVBIKdm9d5Nclv5ocw27yzhI2EsNGgLgqkUgzu3OZg8zZSqZl/Ql0z3tv9tqSMjiI6/UWcs5iqwntP0u3NVmaNIQgjLv3AR+gfPT6bwEhJWZbk4zH725tUZTnrZecpy4LJ4IB8NMTUFbaucUWORYDSWClRUYxQMxI/CEKWK4N2hv7CEkEUsrW7gxcS6xzCWdIiwxUloRCEzLbAOaQ1yNogwhARRXgdYDyImzeZ29xCW0ulFaNmQt5qUyuJEZ4sChGNNu5wdVjpEH/6DMloxPHf+R1sXbLVbbLXSfBCUGoFiJkasKhYGE0R+MOJ56wNGw5Ep8uBN2y0QpyUSOeZry29KOHIw+/GJwmT/V3Guzt460jTCaYsmHqH0d/dREtZ9wYvm1chgCYSV5bEtZmVFwUBXit0q8X7PvJxNDAZHmAXFijyjGI6obt0hO7SMlWe0Z7rk8QNRKvFtfUtxtOM0WCELKZQFSgl0Epi6ho3PkDqAPRsMcSlI0KtsIMB9f4B/WabZhgTKk1haoa1IY9jyjBkXzbZzj0+aRNuXiaqJuyHC+ROsjy5Qct+++ehZ1YKJ71DUb+joIO37sSj3MwAXzqH9J7AOubSAi8Ew0bEpBHdTbe6F5aGKZ8++ZNsNvtEpubYdIdR1KAIFV4IpqrJqewmvXaDk/0Et3OLcO8GwhmMlzTrCQpHKUIO4gWquEM726VVT9DeoJpdhHez+4A1GAfx67zCKhGwHS2SLpwhN5CWNbvRImsX7udPn1vCeXj4WJePnJ+lEOZlzUsvvoIwFfsHM0XKqQvnubyTMhlP2NodYIucfiIxxvH8yzdpv/R77AXzyEaTOu4w0F0a5Zh+5BBlTsvlxBimeUltLKLZxesIVee0964i36YYuhaawBtKEYKA6B4LEW8H1ZhNdm2egpA0e31ioBGERELgixzvPc45hDEk1hEqTWMwphtG1FnGJEspi5wi0HTKGtluk3VaKKUIipK83WS/22I0HVOaGnuoitYI6tdN2oUQM8X0Ycx3FMW0FhbZXb+F945uEBFVNcpY+k6go4haKXJbU+3vExhDVFsCIbBRhClLkqomqWqkm6W/FYEmDzVFoFHOEdWWyFiMmpGh4jAlru0gfOTd6P4iYaAZXLvKjTvr7LcaZFGAdI6lcYYTgkkSkQf3VoJGnpk34D3O/QUZcPLMeZrLR2ifOkWvv8hw6w6bl19gZXmV5o110p1tJrZmnE6RO7sk3R6+rrmZjhDek1Q1gyQmDwNWhxP605xSa5KqplnWbyjHUvPztD70IRrvfhg1P4/Z2iI8fYZgdZVgdWVGSn8HisH/FOG9P1TWWsos487lF/jCv/5XTPf3WDl5hu7aUfLJmO2rr/DQ0VP0fvnfYQ6fE0m3R/fHfozy2lXSr3yVlX/wD+j9xJ8HwJUlLsvQc3Nv+Dw7HjP53H8g/fKXEEFIcOI44fETJI8+QvaNxxFKEl28SLC0hE1TBp/+Rfb/+T+n8dBDM78u89oYRPX7hEePUm9uYnZ2CI4do/XhD4M1mL19VLdL46EHiR59lL1sQpll1EXOE7/+GbavXaHR7jC3ssbB5m2KyZgP/dTP0Fk+wt6tG2SjIXGrzU61x9XRNSZRTaIjIhuwe/UqnU1DVL/2rE26vdnC3yFhu3jiFOPdHcrs2xDJh9c4QHthkWMXH2Dl3AXu/8hHyYZDhJx5sJq6whlD78gKQfRWNeJ31OfOMdzZojU3/4fe13+s+D5R9D3EZz77T7nyC79G1YqwgaYIYqogwgmFd4LA1ySTFNNsEE1TGtMpTkgG3T4mDFnY3ybtdNk4coJWNmH19nX04YXvpMAGAaWOZsoXqckaTXbWTnMkTLCVYVMltPQCF1lAryTofMzlfMx6K0TEczwfpJwabvP3uIGoQpLlE/zi9ojfXjxPZEMO2oqgdjhR0som9A92aOZTTpYpPVdThzGLm7fx1mJNRbSzfpge9Rq8ANlSCBxho6J1fkqga7QwBJGZKRakRyhPspijY0tg5pE2RLiAzLbZ8CuM6HGsmSKbBd7PBsJ9dZWRdaTNVVI5x1D2eU/1IqGReO8Yb1qkX8GbAFdLnMswlTkMapPk4zFlVqHDmZw1aUiEnJUeOGdx3kHZQJoIgSRpNVg4egYTSdLJmOlwezYZbQUIEaHjJZ7/3BOzL64kWIfW0WwCbWeDr0BHrK2cJ2w1WW6exI1rlFdYZ2h9aI28njDe2yWfjMnHI/LphHw0Y72dM2gdoaSe6a4BW88II4/D2AIpNIFOCMMmzUYPW5WEqkEctJlk++AkDdkikorUDLmdvfyHOseVlDx48RyhCJm39xGmK1hn8DieSGsOrENpUDqgLgO8T+EwbSaIG8wficlGe0wH+zSXniRobIIeYmuL8Ak6aqCkOCSuFHXuENKDNOjWAclSjrez96e3mxSjEKk9OvJ05wXCpIjaIA2IQCE6MarbQQYaOxnj0wyqEpwnK2JUy+MUODnTcXnv8UbiKo03kjJVVKnm7kz1TxgCjVYJeIH1Bd5XeDxSKBqqiVMSnMPns3Q1jUAHEh/IQ+WUR3lQtUGWJboqaZQ13bxiPs0xUuLbrVl9t/co56jUTNLtH36I4L2PHnpqObavXyXpdImbbRAcSn5DnDWYskRqzaUPfQRb10z298hGQ+ZWj9JZWCRutWj1F/DW3i1n8s7dLWny7o0lTq++1+h0iVstgiiarYy/blD63O/9B6498XXy6RilA5rdHmWeUaYpZZYeli/lKK2ZHOxhyndAYgnxmiJIzqxybVXhrQE5a2vVbKOSJloIkl4PoTRB0iTpL6CVJo5j4ijE1jUyjAjbHWqlqZEzYilNCayFO3dwt2/PzjnnUaMhdnsbozUmipniGTdbpK0mRmmiqiQqZ5sXgkm7TbfZotVqkhhDo6pIRmOEqdF7e5DO+hRnCba20dV3phJyQlAHAXUQYLRGG0NYVYSHJVFFr4d7+GH0pYsEDz5I48QJgiAgz3PKsrybbqSUYpTVrA8ydqflXVpzPEy5/+rXyX/rs/jxBHP1FcLaIDod7MIizU98nP4PfJgCibGOJNQ8XjfZzi2Bkpwtd3HpGI6eJgsa7E5Knrw1pLaOk/2Es0stauvpt0IWWyHhp3+O7S9/gfjkGXSaIeOZgnT31nWiMKKzcITBi8/N+n6+j5vrIxoJotFlPZwjTUdE9QSLw6f7BPddYqeWNPIDXFnih7u47iKFDKi9xG1dI8qHb2xTHeJ0hC7uXZ7+Zhih8Ahe1feMdAeJQzuD9papbqKlQOLR3tEsB2/ZRy00RihiV96dCJZhi4N4kb4Zop1BzS1x4sM/ysYg5+XdFIdgpdug345phAENLVDZgPH2Jvn+NkhFHvWoGx3KoMm+bLOaCI6vLrI012ZeGy6eWrk7Ebiyk7L+ygYLLzyN7C9w7L4TLDYUqtfDZRn+UI2pWi2y6YDPPPNLPP3M71MNRvTCFnUSccIucLzuMdkdsb5xnbk0Z2mUUQaKQRKTxgFGvQ0R6AXtGoQKkN4yNzggKSsGy8scRCGlt2gZEYUJ+zXkzuC8QntPT1raZspKXtA+GOAE3DpxnH0Jrn4jueaEZKC7DIIeRgR053sc7bcYvPgUnXv0zbdDKEJqMUs/fLXvHJJShhgRIhwkSiDDkMqUeDzKGhaLmshDW6iZIaJx9DwsKYEyhnprC5HO+sY1E+zyEfLVFXyWEt65g9zbJ40CpPNo51DOc9CMOVicm5Xg7BywnFcE+RsXHNT8PEIpUAoZx7P+TacEa0fx1qLaLWS3O5sga42va+z+AWZvDzsaoRcXqW7epDxMPUPrQ0WJRC8tMbA1B6FCJQnjdELgHO5QxTRuhFgpmUsLTu4NSYKIxkMPolptvDG4IscXJS7PSd77XqIzp2dqlskYO5kQnT1HsLaKm04RWhMcPYovS8z+AbLZRCiJXl7GG0N95w5uMsHlObLRIHnsfXf9aV5FtXGbyec+x+BrXyU6skxy8jQuz6jXNxjeukGpFQuPvY+gv8B0Z5trzz/NOJ0SNhJa3R6nPvhhkuVlTDqlMTfP3Hse+a5IGe892R98HREGqF6P6to1yqvXCE8cJ75wAW8Mstmk3tgApfFlQXn9Op1PfOItRMb3AdloyO99+l9w5RtfI+l0ZotHm7MgBSklzjnC2vCujV360xx9WC8p223OffH3kXHM+t/8W0x/93cPVVASvbhIcGSF9EtfwgyH3FmaY9Bt0xqM6OQl3azEKInwntDO5lyFVhy0GrgHLjH3yU9y4eH3Ira2Mbu7uCyj/Wd/GN3rzTyHfuM36fzZH0Y2m2xfu8L1p5+gSKfcufwC29euvmGRK4gbfPxv/h3OPvqnZmrZouDn/vZfJRvNnmVCSupYIHODvMe4uAwc3fMn+aGP/CSNdod8Mublr30J7+HohUssnznH0YsP4J1jsHmbyf4ezd4cQRRj6orx7g7paMBkb/euRcrJhx5h5dz5/1+Tkn+S+D5R9D3EZPQyG+v/llZvBe9qnKtxvsa7CmtrnNVM02eo69Es6nd9yM6NgGzUQJc1jTlIdzTVVKFjR2dV0T0yjzPgKoGpPUU6wFhBYQOqUYDdfQfKAF61y3wbCIGfn4NphrRm9mB+/dtyNkeyBpKuR4Q1pvI0j+Q0l3NaaylCeKo0oNG19OxDSBES0KPdegASh7cON61weY1samQ7orv0IHFzldbS6Td8nqssvrKo1mv1vMNfvcrkKxs4naPMoYRTgl5IsKMSX1pEqFDdEF87XGHAepJHlhFa4itLvZVS3UlnMQ9A4/4+7Y8dR8QanxpcVlPvZPjaISNF8cqQ4qWDty2Ml01NrWv2+jvsHdxifrTIsjtOuJDgQshuH6BVSKBnxySbAcFaCxkr8m/uIUJJ68+dhdpSvXRAeXlwtxD/DRHJWt49ZuM9QgqUB3u4mqX8a9UGY+sxh/+rtCSMFboT0TjaQgAbzzyHcRVaheTFAWohQIYBQRUT7kCsZkawxlfo+QYy0sw9fAJ1NObW7Rf47X/2v76j8+2dYzawF1LivQZ/eD6LBkI2EaIBOLyv8W4P7kY2C1TUQeoVvJU4m+PqOzNrafFaxPS9DJBfw6tTVg3i/2PvzWI9ue77zs9Zavnvd7+9d7PJJpsUSVGStVBUJIuWZctyYAeGjQgDY/IwD2PEyQRQBkaWB89gAs8kDwOPMwFiODEQZR48hq3AtmYylG1JVhyZoihSXFrceu+++73//V/rOWceTv3/995mN0lZlOmFP6DuqX9V3apTp872/Z7fohFSg5OVg1kFQiFUm1pzmbkjq9z3kbvRUR1TOPrba6TjIVivcWRNRr2tiZs1nJU4NIgIWyqiep16p068d5Pstcu07r+HYjIi//a36b/2KkmSkgvJUr0NkaB+5iT61Ck6p04x/5FHUZVWzxvJ4I/+mBvf+K9eJfzSJcTaGm5jA5dlXjX7nnsIT58meuhB3Pw8bnmZcn6eYZJQAsVoRJEklGmKSRJMniOWl9nudknTlLIsWVpaotlsMh6PSZKEjY0NJpPJzKa+1WpRFAWTyYQ8z/0Af+YM999/P9Zar/Iex4zHY/I8J89zhsMhWmuiKJptceydfo5GI9I0pSgK0jRlc3MTWa1gSikpy9KvNGvt/THs7uKaTYwxGGNotVp+ZVsIBBCWOZEzjPOC3jihKEtqYUCaphilcUojKi0H4ZzflxIXRQfM4iSNZpNgktDd2cYZS1jk6LJEFyVRnhFmOVGeMb/XpdPvo4zZ3+6k/VhJ2agjjEVmmTd/+l5Fa2Qco5eX0Ssrvj8RErO4zMLf/iz5yiqb166SjoacPXUKYwVJWjBxkmw84XoRULbayEYDtMaUORKHkiBwGCcIwxCZ5ey4gMs73lmsEGCs48rumEbotZiu7IwpjOVmL2F4B23KSEsePtFhe5hxlJRzxxfYcZqtQcblnTG7bxBy+XbSijX1ULE5eD0p2Io1j929xB9+d5NQSxYaIXGgOLPY4NremFc2RxzreOf4N3vJof8VAgIlycs3d1kvq2vvX1AcGV5lopsMgzY7JiQxgnasWVA5HVUSxjXkpE+QDujUFHefOc7yXIu5doOhqKHjmNI40tIHftgZZcSBmkUeWu+nXN4e008KSmtZiAXLKicbjag1G9x75hitVoNaoDi1WGeloRnt7dGYm0ffwV/G2yE7yQ6/88rv8HL3Za4OrjIuxpztnGWYD7HOcmHvAiu1FdpRmw8f+TBz8RzHm8c50jjCly59id96+bdYqi3xwdUPsjHZICkTXtp7CYCfWv0M9z1Z0H/lCllZIIVkaWWVThBxvLOIzHKuPP1NgvGEYz1PyNWCiPjsWW/iEsfUfugDqFabyZNPkrz4oifa30iUov7BDxKfP0+xvs7wiSf8OCklAocVgu1WnWEcMq7HjBo18iAkMwaBQbmQ89u71JKEMC/ItWRtrkk7zQlLgzYWbR16fgE7mWCzhIVRiq7VcJMJqVYUWtFIc96KsZpaWiI4fgyhNEJrhFYgvX8YEYao+Xni+89j04xyY538xk3SF15AH1klOnMX8UMPoZcWie6+G7Sm3Nxk8q2nya9e9aYrJ0/66FMP3E/tkUe8fxSlUG/iw+mtiun3vRZ4GJI8+x2i++49RFo457z5pdaYwQAzGGAHA7KLlyh3tmn9yI8QnTvnSat35V35PuVS/xKBCDjZPjk7dtDPqylLrl94nivPfovLz36bvZs+yufC/CKPhR2O/ORPcvMf/g+0f+InUMvLPPOl/8QoCjj3wHtxwwHRnz2FAPSjH+bZ5Q7Xrl489PxAKUrrFzLjMCJWmn4yPmRNsnLmbu79yGMAXHvhO9x86UVUELBw7AQf+ZnPMdzd4YWvPDEzb1das3r3vRw//wDH73uAuNkibjT50/HT/Itv/Qor9RUW4gUcjr2Ll/lY7f1sdzK+Ovgz2s153rPwAJ84+cN8+uSP8s0Xv8JDyw/Rmluk1u78ufwsvSt/cfIuUfQOyrVXL/Inv/9HTCYFxoATCoekLAVpYgGJFSlWZUhbQ9qAZnPEqTMdrNVcuRAgsDQaAemoRp4ZhLQENYkMoXQp84sdVk8ssHxsnkBHrJ40ZMk6OghZv/oM11/7Gr3eEC1bGOXQUY2V5jGGOzto1SG2EWfvex8ZO2ytfYskuc52t0uyG6HiEpMqmscmBI2CqFMQNAqCWKLNPKXJaHVOU4/voqZOs3r2M9QaJ5EyoiwnWJd6gijYnyyYwjLspoy7GQhYOtnCWUeelGxeHpCOc1wFNOJmSNzwDq+tc+y+tsFkYx2bjnHJGLc3plSCRqtJUyhqVhK2jlG0Y+yCotnXTNbGmEB6rYU8Q/VTcmXJpGFPj7mudklDQ5JPULvrlM4inQUESIVs1BH1BhhDHoQEQUAjriHwRJ1UEikkLvPEUmgk92fHaLmYjeaY3VpJ0QzQQUCAYpQPGU1G5Im397XOgoV6YUEYSgwGi0RinEAKibUSYwQSgXWS0gmUkygB4Yrg+F3LrCwts7KyQqPVpCgKTGHYuLbDTn+bMArQWtFo1Xn44YdpvgWiAcBmBqEFrrC4wqJarwcSe2s3vK3veMhgawupJEEUz4D0NPW+ZVLaS8tYa3HWko1HIATzR48TNlsEhePl/+6f0eucY1JfZT67QfTBu1D1Bs0gJowiZBQhTInIJtz40++ykUXEkaa1ukw7zlDbN8jGBUkuyc59gFFZR9iCkIJilDDMQg9kXYlREXnYREeKQFuOLgrO/9gDtI/OUW+H1FrBoRULW5kEWWtJkoT19XWAmWr9eDym2+16jZDq2FvdL4qC69ev02q1Ko02Ozt/cH/ab8dxTKfT8eCkLGdkyHQ/y7JZNJ+paK2RQmCsnTnZ/V6l1WrRbDaRUrK+vo61dkbmLCwsMD8/P3u3fr9PHMfUajWiKGIymfD8889j34Acqdfrs/zfToKypGEMhCHHrGX56jVknkNZIivzN2EM7evXCSYT8sVFDzCcxZYl0jqw3teMs9Y7vDQlKi9wSpEvLvpQs8OhBxXD4W2jcchmE9VuI+o1TL+P2b6znfxU3OIC4j0PohoNwmaDqNnChBGi3sDEMeXcIr1jZyiqyI9ZZ56txGCrPG+t7/CH/983mR/tEZU5/ajJIGwwiBooazg53CJXGisk4yCmaM9RLh9BKsXWIEUIQV5acnO4/O9ZaXK0E7PWS7i4/efzITKVOJBoKWf19MR8ncJaxlnJuZUWcaA4PhdzYr7OifkaK22vyr0zyj+7L8cAACAASURBVGjHAU9c2ODrr+6Q5IabvYRACU4t1FluRZxZbHByoU4r9hqJO8OMj5xd5J6VJklheGljiLWORqRpRIpmFHD3cgOtJDe6E/pJgZaS3XHG9jDjd759k6ev7PHxe5fZHec0QkWoJZe2x9RDxcfOLXF5Z0ykFcfnapyY905l5xsh9yw36dQCuhNPgD51ZQ/n4MN3LXC9O6EwDuscRzsxR9ox+g6+cf66yqSYcG14jZujm0yKCb/67V9la7LF6fZpTrVPcW1wjd10l/ML5ylMwVw8RyNosDXZ4pnNZyjdYSLxseOP8Wuf/DUCte+s+frwOr/9ym/zmy/8JgD/xw//Ko+tfASjBd9Y/wbnF85zrHkMADMaU26sex8czhGdP886fQb5gLs6d/Evn/qXLMQL/IP3/QOvvTgeexIlCCjW1kief4H4/vPIZgu9MI+zFhkdcJw/GlGsrZFfvIjpDwCHXlmlWFujuH6d5NlnSZ57DpwPxiy0pv3pTxMcP+a1ZPKcyVPfovHYR1HNFiiJ2d2juHkD2elQf//7aXzkI+jlZWySUG5v09u6zk3XZUXNIX7rD9BHj9D57GeR7Q5md4fs8mXsYIAII5qPfxI1N4epHPpaLFpodpIdtpNtLuxe4JXuK/zMuZ/hvoX7cM6hpCdVSlvySvcVrLMcaRyhE3XYS/a42LvIh49+eHYd+LFwXIzJbU4zaBKqHxz5+E7JKB/x9Ztf58tXv8yVwRW00Jxun6YRNHjv8ntxOK4Pr3N1cJVRPmIumiNQAe2wzT/+oX98qLzelb8ckpQJWmou9S7x5atfRknFcm2ZXtajn/XpZT02xhsM8gHjYszVwVUA7pu/jw8d/RAfWP0A//qZf40QggcXH+SBxQf48TM/zlzsoyxf+L3f5aknvkSv18U5yyM//reRT3+b6BtPsVYPuLRyWFNrYeUIi3ed5fIzT2OKgo//N3+P9//ETzHp97j+3Rd48nd/i/byCicfeIhL336KIss4/fAj3Pvhxxju7nD9wvO8/I2vz0y7lk6e5sSDDyMcXHrmKfqb3l9euDrP/Ice5GvN70KoUGGAEgopJALBbrLLC7svYJ3lePM4x5vHyU3Os9vPArBaX+XTZz7NLz7yi9SDw1HO3pW/OvIuUfQOyn/9F/8n81/413c878CHRXWOrFZnXK8xqdfYOHKEQge0BwPyMCSp1wiKgk6/T5AXOCm8PwIhyaKItBaTxDXSWsykvcLSkaMebKU5rfocJ0+f8JECpCSdZJS2oNFosDS/yKl8m2LtBrLdonXffYyfuU5p6mRz6wR3hWRqm1bnPCpX2Ks7qLCB0B3SnQHNU6tsXrqELaHsJ+x840nK0QjSDFkaD37yApeOKaMIJyTx1hrSGpyQWKFASKyQCGeJ8iGlFhglMErhhGRcr4NQ1CcJJ25cedMVeCt82QjnSGp1nFBIW6IrR9VJrUapvaaAwIEFXRq0MYTFG5uiZGFMr7NEUm9QBCFFEGCUQlqDtIagyHCy5OLdd5NFESevX2e+26XQAVZJjPTvEacFgSmJshQcSGdxSuKkV9F2SlMGAVsn76KQCqM1Jg7ItEY4iyhzLA4noNVuM04SJsnEO46cOu6bloOUPq3MRMogIIhrOCX9s1otZBQRGOOjHFhLXKuhlGI0GhHHMQ899BBaa/b29mbEQJqmjMdjOp0O169fZ2tri5MnT7K3t+d9rdTrRFHEcDhkNBiQV1olU6eoQghUGFKr1Rj2+2RFQWM04viNG8yXhla/R6kDTJqiyxJlDQGCwDlcGGBj3yaivT14s9XfN5JplKhKa84BycICSacDwwFWSKxS2EBTCEGQF+iyrFaNJa/ee47u/DxJrYZVijAIkJWPBGUtrX6foCzRxtLq7nlVPOkHYVGVgxAgHHTKgrJWx6rKzl8IJCBL4zXEhMQszJMdPco4zxkXBWWjgdSaQCmUkGgl0c6bB6x0OoRpSjEcUozGlJMxZBmqLFGlQRQFsshRxiKaDdy5+xBpQZl6Hze6yFHGILVChiGqKAg6baRz5GnG3HvuRwaabGePfDiiOHGa1EKeJORJRrmzg+32KIuC3EncZMx8b5PQlljrPCHsDDL3ZhS21cbkBaosCMscXebIPIMsm5kHMhkf0qwpdUAW1b35ragcvCtFv73E9vIJ5oe7ICSuMn9wUiGU/62lgLJkIkNGOiIqMpbGe1jnSEMfongUNRiHdQoEaelQUtA2GfV8QpiM0VnKMKqzXl+ip0IyJ8miGmVUw0QxRaOF6MyhO22GJfQmBaX1JEJ3nDPOvzfC7tGzizx2zyJUdcen/pxAzPaNdWwOUnoTbxbWqQVoJYi0Ig4k9VAxTEuUFHzneo+9cc5KO+bh4x1W2hHNyAPyM0t12nFAYSyFcRTGUlqfWuvQShIogZaSdk1zfK72tqmDP3ejx8n5OvONv35g8y+b9NIez+88z266Szft0k27GGf45MlP8r6V95HbnH//wr/nvcvvxTrLxniDdtSmm3a51LvEd7a/w9HGUXbSHW4Mb7CXHvZFuFxb5td+5Nd4z+J7ZsfuFGk1KRPWRmtsjDdwOJpBkweXHkTL2/txWR+t87kvfY7ddJf3LL6HQT7g+vA6gQw40jjC1mSLUIXc1b6Ln73vZ/nY8Y/xHy/8R/7dC//udff6zJnP8MjKI2xONrk6uMrP3fdzfPTYR1933cZ4g9d6rzHI/LMeP/U45+bPvWEZ2yQhv3aNYm2N+P77CY4cecPrD4pzjj+69kdc7l/mkZVHCGTAP/rKP2I33QXg/oX7+cmzP4kUkl7Wo5f16KZdelmP3WSXK4MrGHe4r5FC+oWqWySUIcYZTrROkBQJ3axLYW8fca8dtlmqLTEfzzPIB1wbXCMzfh4Vq5h6UJ8BTy31LD3ePM77Vt7n85v2yIw3k6vpGrvJLr2sx0/d81Pc3bmbzckm987fy3J9+S2X1+0kLVPWRmvsJDtsTja52LuIFJJJOaGX9bgxvMGxxjEiHfHBIx/kSv8Ka+M1RvmIUTFiXIyRQnJzdJN+1qeu63zwyAdJy5QboxvsJDuzd5dCshgvcqRxZEYu7CQ7/Oonf5XHTz3+fb3HX3XJTEY/6zPMhyzEC8zHniQpTIGSvq58v+KcIzMZk3JCUiZc6V8hVCGNoEEoQ5RUvLDzAv2sz1MbT/HVG1+9bVsAiFREJ+qwWl9lPp4nlCHnF86jpOLJ9Sf51ua3KG1JJ+rwwMIDvLDzAsNiyGK8yOd/6PN89uxnZ++0c/0qX/zf/icG21v7DxCC93ziR3jo8R8jn4zpbW3wzS/+3yAlZx5+Hx/47E+zdPL0n6sciizFFCW/efEL/Ppzv45EshouE10esNNI6bUKEHC6fZqFeIHSlhhnMNZgsSzFS5ybP8fff+TvHyKCCluwPlrnZOvku+Zffw3kXaLoHZTJpcts/Kc/orMcgTFgLM4YsKby3l/440pRbm1TXLtG8vLLuOEd/BUoBZ02wljvC8ha3PjwCnAWxuwtLCGtI8xT0jjEaImw3oSiMR4TFAVJvUZtklC7TVhDAHH0hI/AkYyxe7tv+Z2NlBilMEoR5jnCOfIwJCgKlLUM222KKPaEh7UIYxFVB102m4RKEwJkKWKSEIyGWKmwYcjw4YeJ3/swqtFA1GqkWhFKSTGekCU5eW+EvnIVJYQvnt11pHR+5S/2vkHkzh6yNARxiA41kdSozhxCCobL99FZbdJabYNz7K0NSbf3EEXu/bzcvEL+8ku47h4iHSPyA2VXhfrkFjM9OT8PZYnLC1yRIxoNwpMnkWFYmYJIRBBUER0KKMpZ+Mlye/stl/vbIVZKEIIiDHFSYqWgEBIr5YzoCoqCoPJJEld1x1bfu9AaozVSSgqtwDqCPEeWZqaVMWw2vT8bwGiF0wEqywjTjMVe1xt/CUHSbiOFQLbaiEaDXAiS0mAEiLxAZSkpMG41yIKQUmm2G3MUTqGLAmktyloKpUllSCY1iY5o5Il/hhTU8oz51EcHKqUiqTWZs4aV7hbtQZek2UGDJyxKTxCVUUQR1bBCMrd5k9pkv61m9SY6z1DlHcJYv4mUQYi+Q3Spg35J3i6xQpLrkFxq2tnottcUVShahcMIibrDZOoNn4P3mZJLzVpjkbzSCpg6JU6rVed2PqGQmlwFZCqYpZkKyGVAYEv6UZO1xiKL6YBcar71yOPEzTqRVkRaEihZOXd3PiyzdZRm+tseOt5PipnJUTPSJLlhmJaEWvpNHU7rofLR7wpDYSxKChqhJgokcaCoh4pIK0rjtXay0pIW/p6DtKQZKebrIYGSCAHtOOD4nPfBpZUg1orldkSkJEoKlBQstyJCLWdKTUcrU6h35W+GZCbj+uA6V4dX0UIT6xglFJcHl+lnfS72LrKdbLObeILnvoX7eOzYYxxrHmMhXmBUjNicbKKF5rmd53hq4ymccxxpHOFy/zKlLbFY+tmdw2B3og7tsM314fXbng9lSDtqE6mIE80TnGhVW/MEp9qnUEJxqn2Kmv7BRSN84soTfP5rn+dM+wxHG0f50NEPsTXZYi/dY7m2zO9d/D0G+eHQzH/nnr/DR499lFe6r3B27izPbD7Dl69+me4tvoM+fuLjfPauz3JzdJNXe69ysXeRV7qHffsdbx7nwaUHeezYY2QmIzc5WmruX7yfBxcffMsA2DnH1cFVfv25X+fV3qsooehEHfpZnxd3Xzx07XJtmV/60C/xBxf/gK/e+OrsuEDQiTrMRXPMx/N0og5nO2eJle87VBUAY3PsCZjVxionWydpBk3+dO1PeXnvZbTUrI/XaQZN5uI5zs+fp6ZrbEw22JpsEauYzckm1lkG+YCtyRbNoMk9c/ewWFskKRO2JlsooTzwdN7nY2lLCltwsXeRS/1LgCeUAhVgrKG0JYu1RYw1bCVbh97p7rm7eWjpIc7Nn+PC7gUu9S9xtHGUUIZcHlzmePM4SigG+WCm3fPg0oNYZ/n9i7/Pl69+mUl52IeUEop6UKeu68xFcyRlwl66x6gYoYTiaOMorbBFI2jQDJoYZ8htzs/f//M8euzRQxpTo3xEN+uihaYTdV4HrD/zO59hO9nmA6sfoBk06aZdHlh8gHvm76GhG0Q6opt22Uv32Ev30ELz4PKDpGVKI2iQmYyl2hKRijDWsDZe42jjKHPRHEcbR2mGd9YUN9awNlojMQmTyo/WxmSDwhTUdI1QhRS2QAvNbrrLxniDY81jXkOq6i/+5MafMCknhCokVl4TNCkTIhUhheS13mu0whaTYsI9c/fw1OZT3BjeYJAP6Gd9BtmAQT4gvSVwRjNokpuc3OYIBHPRHHfP3c1cNMcgH7CT7HCkcYSjjaMs15ep6Rq9tIeSiqXaEqv1VTbG3hx1Lp5jJ9nhCxe+wDB/a37ftND83fN/d9ZPfer0p8jKDCF8O3qzfuvq4CoXdi/wseMfoxW2KEzBi7sv8ivf/BUu7F6gpms8evRR/tUn/hWhChl19/jP/+Z/5/6P/TC9jTWuPPcMP/X5f0ZzYfEt5fdS7xL9vM/RxlH6WZ922KawBVcHV9mYbHB9eJ3Xuq9xvHmc1cYqT64/yZ+t/xmPHXuMe+fvZTvZJjMZv/DeX8Dh2Bhv8NFjH70jEf83TkbbYDKoLfg0n0Bzhco5p8d6Qvrff01M6t4lit5B2RqkPH+zj6mAye1ke5Sx1ksrQCJoSsdKPiDtD9ltLyFHQ47LnDSsMaq1GKuIpDAkuSEtDIuBYykf0U4GtPq7rH7nG7jrN7BliQo1tjSIsgSlsFJBo4FYWMZsrjNWihebq7x6/L00B5ss7l2EGizvTZjv9rGyRLicvYUFiiBgVKtTKI10jkwFdNIR9aUTrCyepCxGhH/rExw7d4r5uqbMM5LcklpJoWvkxjIcTpg4D8zy0pKXFusckfb+FW50E8ZZSVlpGzQiRSQdQRBgrPfL0J/4VfhJVhIoyanFOj/3QyeJ9PcWbcFYrx1wUPLSm0gUxoezn+atGWnv2kOIWQrgyhKXZYgwnGmm5FeukD73HOX2No2PfYz4/PlDzxilBePceLBqHHmWeaJrnPDVl7e42U9JxwluMqHW38WWBlVkhHlGWPhoC6mTOFPijPGhSyvXOp5k8dopB31QiQrkJzqiVmYE1iDwRMrqpEtsC3KhaBcTcqkJbYm2+6uPgS3RziKExAQhk6iGQzAMYhyCoCwITUG9SAjKgsCWhKbASsVu2CSTXttjPhtyrntjliddkQ7Ge0Lm2yv38tsP/wSD1VOoOGJjkDJ5E42LQELxvXMXb4scjeCxfJ32cI+ou0PY3SFFM45qSMAJyVpnlTRu4IKQnc6KJ9KqL+PAm0UJQEAWRGhrkRUhNNU4KpWPsOKk4K6tyzTSMdoZoiKjlQyRlXYTUmKFoNQhpQoodcC41iILY38sCCl1QB5ElNrX2YVGxHIr4uhkj3mTEq8s0ew0qdUiTBBSCunJlbLEODBpRolEWEv27Leh0UQtLlKLI+auvUIwP09UrxE3YuK5DvUTx2hEAZErieOQq72MYVoghSAOFGlhaESa0njfQdO+4Xp3wu4oY5IbstITPK1Y0wg1K+2I+XrIQiOkEf35JzeH/H69K3/txFjD5mSTUTEiKRMu9i7OVky/sfYNlmvLfO785zDOsFhbZKm29APJh3OOC3sXuNK/Ql4FNehlPYb5kJqusZfusRAvIIWkm3bZTXfZSXbYmmxxuX8Z9wYE8ZHGEVbqKyzXlmkGTZ7feX4GwG+VSEU8evRRYh1zqX+Jk62Ts3c+0jjCvfP3clfnLjpRxwPFxjH+y83/wtdvfp1Xu6/y+KnHOdE6wfHmcY42jrIx3piBt7dDC+D7lQu7F7h3/t7bAp7N8SZCCLaTbZ5cf5Ij9SN85q7PvK7tW2e5OriKQFAP6vzBpT/gN577DYaFB53HGsc4O3eWhXiBz971WZbry7zafZVf/sYvk5S312zVQmOxfPLkJ/knH/onLNeX+eNrf8yzW88ihaSwBbvpLi/tvUQv7dHNutR0jQ8d+RDGGfpZn1CFfOLEJ/jpe36a53ee5+boJo+ffJzVxiqTYsLTm0/z0NJDALTC1vdv3uQc3hlmSRVqFazZPxbUAAH1hargjAdVSQ+SLqgQwroHVtYc/l9ncKagm/Wpy5BYBd4kz1lvOixgUIz5f7aeoq1qLIVtvpOs80z3ZZ4fXKJXjJgLWtzTOEavHDMyKau1VS6PrrNYW6QVtrjcv3yIKGgEDX7s1Kf40NJDLIdzzIctzrTPoIMGQkcw2YEXvwhCkeZDXptscJqAlimhSKCYQJn6tEigqPalhqgJURvqixDcISpS2OJmc5HfHV/m6+MrFEBNal4br5GY12uyN3WDUfnWzYAVgrONY4xtTjcfUtiCpXiB042jNGTEy4PL3Ezf3Dz6TiKqeJPfi4RITgctOjKkLUM6MqQjY9oqoiMjmipk15VcNxNiXaMZNMhNxla6x9V0h74racVzLMYLbOQDNpNtdrMeDkcog4qAvP3k7yPz9/ORufPUpUYjWNQNGkIzKRMyk1HYgtPNY5xeeYSgtkBdaqjNQz6G8TZMdiEbeEestoB0UC0Gh37TkU/bx2Dxnv12cECsszxx5Qm+cOELPLfzHAD/9kf/7W01FL+5/k1e6b7CamOVtEz51OlPzQiqXtrjl772eZ7Z/g7GWfI7aPcdlEBqnIPSlbSCFv/tvT/L3zv6cSJrfd7nTvl3tMa3UVe1UVf9tvbAfnXclr59FxPonIBTj0L/BuxdhsYSjDYh7fsyVCHU5vz/TNtPkXjSZdaGpmniy2/pXlABmLzaCqooKfvEDDBDNzoEHfv3maYygLQHW9/139OW/tvtvAL5yL8L+Lye/QS0j/t7bT7v32Ww5s/dKjLw9eCg3P04/PwX3/Rb/FWQd4mid1D+3+fX+YX/69tvep2WgvIORNKdJNJ+FbufvHmnMVcPCJVfbe9N3tjcQQmYVxnOlIRaY0RAjsQ4GJeH/TiHSnjnsVJgHSTF/n1rgTr0++0ULQX1UJEWh/1tNCPNkU6MEoK0NLTjgLy0pKUn1dLCm0ukpaEwbuaoNFCC0lhu9N6aI/CWFsyF0FYwLn0438LCTulNhR5ZrdEOJRe7GTfGBus8WHBA/ibRsubTAaEpEViEq3zPCpDOkytSCpRWsxCwKgrRTe+YmjzzPpOkxHerDukcUngm3DhHGUT+jBTY0rDVT0isQAvv5nmuERFoSWEhjkNajYhJ7jUolpoRRVXecmoyhdeGsA664xwpxdT/NjjHkU7MB88sMF8PccDeOCMtrDdhSVNGJdTjkOVWRFZabnQTstKQFZbVdsyxuZg4qBxcV5ExHf7eSWHYHeVEgdcmOTYXs9yM6dQCpMRrZQhBM9Z0agGBkoc0Sox17I1zjHVoJQikRCsx25dCkBSmCsjt3wvh3z3UknYcHPp203uG+p0HTX/lxFp4+Utw+evVhCyoJmWRByVhw29l5icRzt4yiZmm9paJj/WT+emm9OHfs035+4bNChzl+8+aprceKzPIhn4CMp3wnPkYnPrw6+8tlM+TKfYnQUL6c85WIMruT8imAM0UHoCVmb//uJrsS+nvKb357qH96fOkomtztm3OH06ucbkc0JARPz//Xu6Ol/x1+RiCugc7MoD+NchGHhQJCavvgfqSn5SpyH+XGei7DYA0RVU2aZUmh367ImE977NTjhFlTtckaFNSBn5l/tHFhwmWz/v7NJch7vjJZT4i2XmFZHCTVGkyHdII6uyONlgzYzJbEjnYsQlfKXtsu4Ib5EzuAG6aQlNKRVqBtEAGPLz0EEvxAs2gSSNsEgjFfYsPUAvqfHf3Aq/uvcSJ2grzusGfbDzJy4PLFM7QDlp8/OiHef/Se7kx2UBJTT8fsZZsMkx7XB5cZesNQFpNRTOwGMuQxWjOb0GT+2qrnIkWOBl26GZ9YiSlMyzrJqtL5+msvMfXi7ABLW/KtD5a52L/IqNi5Imc2jLDfMjp5gniMvMT6aTn07Tv9/PRfn11DqblJqQHwVHL18NJZVI2ZbfvSLKKW665TTqt+9M8mLzq5Kt2PdyA4drh+jXdXzjrQVrY9HUzbMHyvVXbB4brFXDQ/nohq3dp+WfvvurrpKnaejHxIMFZD1riDuy8CsWESWuVa3GTk81jNHTd5ztq+XIfrntipHWE7aWzvOxyzkTz5NmQJorn8x2eHlwisyVfvP5lClsSqYjMZIQy9PMnocltTmELHpt/gL/VOcenWneziqr6m2IfcGUHtKJs6b/btG9Jqu9qq34javn3urXsbFkB4PKWc8X+77eqOSrkW7/2bRAHbCnFojHcdolABhA1MVGLnbjJpTCiLxwf2brKXNKDt0p2CAm65seeoO4JoOm+jveP2dL3l2nfA29zB2f7SQ+K1xM/BljXir5UCBwLxrJgDCGwqQO6jSViZ5g4Q2ANfSnIhaQsU5bKnJGUdKXkpSjklTCkYyxz1hA6x5rWrGnNSApOFiWPJSkLxlB3jq6SnMlLOtbSU5KJEMw5MDJEmJQzRcmzccSukgyk5OUw5EfHE87lBakQJFJQCMGcsQylZFdJ7ssLAuewwKUw4IEsp3mouL9/zFkAEynpWL+Yu6skm0pxpDTUnGNUOZNfNn/Bq4c69mOlDPycoDYPZx7z/VQ64BfXn+Br/ZcJheY/PPq/cM9wl2jlAagv8qeX/zP//Qv/5tDt7ldN/kd9jKeyLX7T9Shx/MxwRN062tYykYItpfjEJOHJWkzNOh6fTDhaGqyAhnWEU3+Wzt05cNE7ISo80K5qvp2NNj1Z+3bJQWInqMP8Ga8hpLTv61QI1/5sv03OnYLFc35MWbjLk76TPf9dVQDdK34clHIKQPw9H/65ty/P76C8SxS9g9IbTri6sYVyJUpKb8qFqlQF/IS+FmpOLTRAeCfFe4lhkJa0awGtwJEaye44pxb6yCa1UBFrhay0YaZaMKOspDvJ+c6NPqoCsqO0oDsp2BvnlNb7mIi05NyKV1G1zkd++fi9y6SF4emrXZ6/2ef63oQ090CmGQW0Ym9esdiIaMV6Rg7d6E6QQsyA9wNH2+TGsjfKGCQZ86HjSAM6uiQioyFygmLAeJIQKEUUeMIjM47CwLGGpRM4AiWxQjO2mjxoURYFCkNUTmgMNgmxCB0gtOIPtyJeGgaUQjEsJetZCFITKMEwc8SBItaCWAsiJSivXEVub0OWsWlCRJ6TG0thBXcN1mkWCdoabxoHpDqcmcZYITFCMgli+mGDUVinVmbYqhteSvv0wwZrzSUGYYMTo21ODLdQzs58IrXqiqVOgNaCIJAEoUQHkiCQnG0a7o4LouPLqHYD1Woi1DQSFwec6t7h9xteQ8U4VWBAyNeDWfAd99ypfSBehdOe/Z6BULkPUA+C02lIvEMrAOznaXrPg1JM/ArddIJ6aCXD3fL7wHmh/CqEyf2EOen61YODk93Gsl81mDlykbcHLtMJryn2J9TuVtLBHSYgbs0XwoMpa/afU4FcvxqZHEgPgGg48E2q7zAtJ1eVGQ52X4Ptl6v8qkOEwOu+yaFjB37P7v0m2+wd3eFy8IV4SznKmVYbZcLMG/0hIHmgvA/VT+vJirwyfQvq1apSRajY20fHenMR+8TJlET6fkWo/ZVEVa1mRa2KxKp7wHDzBzhmqRDqi1ghuS4MgbVM8FsGjLFc0pK+gKGES1rzdG1/hftUUbCjFKkQnClKPpokPJzlHKnMZW9oTegcWkiEirgrz0hszlhKAuc4WZQsWPu6Vp0KwaZSvBiFPNGoYwENbCtFw1qOlIYlJ9gOAr4SB3TlnaetgXPckxczQHOmKMiF4Lko5MUoIn8L2l+nrOSkU5wWAfeKmKYMGUrBI6JJByjTPgs3vsWWUnyl2WahyHiiUee5KKJtLSMpGElJcotaec3aur9xogAAHU9JREFU2bHVsuSjSUrLWq5pzVcbhx15xtZyrDS0rOVkWfKBNOV9aUat6vsC56hbh8YROehKSeQc9e9nXnbsfXjVxKHvV+KOB7BpvyIavndH5dZBbjW5VWRG7e9bBU6ghMUisE5gnCQ12vtedPuGslpYlHQoYSui318/TS0C5wSllRROUjqFcRKjapSqgZuNJf5/AFw2oihNZVYqQTiWozEg0NKQlAGlk1gnkMIRSkNNFYTSUDpJaZWP2KcMxgpKEWJUHeOkn2+4nDCKKGVMkWWEboIWxp+3ksxqenlMZjVaOgJREkpDU+dYBMb5/DZ0TixLIlUwDhxX2036Nc2JScmJ7oS81FjAOMFeBEu5g6rsImVmXal/c4dUAVI4hHA0tKHdUETK0E1DtvI2OTFK+SiQ0qSoMPL7lc9HYwWlFTh8/52XVP2y3B8HhURrxdxcnTAKvSapFRgLxlYmw3mCtSW2LKpvLbGAkyFWeg0hTDnztYeQxLUYHQZYB52FORZWlnwUyWrxxxqvYS6lYjKekCUZZVlSloaAAqk11pS4bIQVIU5F2CLDFalPywxbZNgywxU5tiywZY4zJTaex+kaVgY454OjOGv9/YwPGGFrCz7/jsqHnsUag7N+HJRao3SACgKsKYmbbWotH4zFuSpAxYFAFUEYEdXrxK0WZx56hJq2BC4lKnvodNuTnPnYj5lJ149TtTk/BiY9GG958kmoA3O0ikiNWjB30qfzZ7BBC7fxAkrcsoAiAz9mBbVK86Iyo9p91YPi+tL+XGfpnO8zrPHjce/6Psk62cEJjRUKYwTDkY9uKXWE0OFskzpCBCFCRwgVgBCYssRZQ56mlGnqy8pWeawWYIRJESYHFSLiJgQNTH+doreOGXUhHyKCuo/sO4sC7Pbnaoh9UH9w3iMUFkgmGXmWI6T2Tuql9s/M+gQUHDt1lJAEIyNM2MEELayMkTokqNXRzQWiWo1AC4QrEVPitn8D1p/1pPb2SzNi2u1eRow3Zv1oIgQXg4B/uLrEttaslCWfG4yInOM35tosGMM/T0PqraO8ku3yy1FGWY11HxYNfq7zAJ8++xO+7xMKVEQRL3g/gTsXkJMdEupMypA0zf1aW7qHlhanQpwMcVEbFzQgH+H6N3H1JZDa41KhkEr5/tg6jPN9+NzSPJ3FBYwFoTQu7OB0hNp4Brn3mifCGkueVD/2fr8f1P13TXu+/h0khYKa/0a3iHOOsr+FKQuK0rJ17QZCB4RxTDoakQwHlZWXH3+FYLbwJmxRkeO+HgsV4hrL5JMhMojQUYwOQ3QYVemBfe2xmK41vV+ryZh8kuCcRWmNVBqpFUr5euOqICjOWqTW1Nud73lM/cso7xJF76AUX/kNxr/5z3FOVDjK+UHVCJwVuFJQZhKTSqR2COWQurIholKfiFp+QHHesYvzfyoRh1IZaeKTLcKlBkIHoAN0p45q1HyDVRpXGux45PMx3MWNh36VSkiCo0fwhkC3rxsum5Bc2sYkJSaz2NSHuZ8NXtmg2vcg0+HVVHyfLjC5wGQSk0n//k5UGNSntpCYXOCMBBxW4B0xC4eYLnJOJ6DTsvCHfIrASef7EgkysKBEhXWrZ+QKVSvRkUWFFhk6iIAAXACEgHSvw7lTElkqh7MCIZ2/Trp9TsThlzwygUFglSCXCoPwi34SRLUMNp0oTyfVfrJcvYM7eJxKnwU/6VQlzuEni+DL5oCp0utkyo9U10j8u0nhqv1ZKc6q3XQ67qoJr8ChhZuBAlfdRwo3u890X9zmuM/nbavUIcmMYmICAmG8JlWVP3ngPd/sfs75SXfp5GxSPysKceA9Z0Xjqon47A4HyoFDZSsOvNf+/faltIKiAiBT8DMFUQf3rQyxKsLKmIxov3JNyZkZqbU/gRcCUDGsnK8IH68eLDhA7uD2j1nrr5kRP9Vx2Cd5qoorhGSmLnXgnJA+op+QEiGr66oy8qTftLwqQkvgtU4q1a/9fuQgaXnQga2/wqoaVtew8QL27Cd9WVkPkmYmDZVWipBBNRk8DGz8JLpyFD4jsW6RmWq1J/vErRpJUvtnCeWfIbUHQELNwMM0Yp+rTCWcVxckGQ5I0zHFZI+iSDCm8ORwtWF9f5jaktyWZLYkK3PvI8Y5rLNkJiczuS+uKuoI4M2GlWBiE3byPUpbzPq8Wd2uOkWvhSiJZEhd1TjePE47bDEfdWiHLbIy5YW977I2WidLE5SZdRAHWoDXYAxKiTaHHyTFzA37rMs76CRXS00gPFkghfcXVdiC0pYooWiFbVphi1CF2LIk3dwF59D1GnqhxYSUXjAm0SU9M2BMTugU86rFSrTCfDCHsgKMo8wzAqcJUAjjEIEmimveN4hj31Si0ugEV1VBB8keoUvohDlGNzwgzTIfmXQakdA5xm6ME5K6jL25A5LSgRTa1/yywFnLoEww1tIQAc5aarGmXdegwhnRMa1DxlLtew1XpPamxNV3d7b0ZjhCe1BQOWnf76kB63DZoOovpCcps6EPeS61r//W4KTG4uuvr8vSp24K/F11XzFrn56fth7Y5XfQkPhBiBAEUYwKArTWqDBEB+E+2cB0auT7oiCO/IQ/0BTJmK3Ll9BhSFkU1JpNdBCglMJYy2QwIJskGGPQQYCOIqRU5FmKDsLqWYHfDwJMUZAlE3QYEcYx2XiMKXJ0oH0E01Azt7JKPL9CmRcUkwHJ7hqTwQAVBCgd4IBJf0iapqRJzq1zbiEgjoOZdu4kKYhrNR8tVCmS0RgVBIcICGum/c/rNSaCKCaqokZaU2LKElv6/akorVFBiJACZy1Ro7lvSn8gf0WSkI5v77cOOBzVVEqkVNU44X/P1H+pRosqyqkpy0Pn3lYRAil90BahDqdSSoRUSDXN435E1v33UNwarXX6f8CsTE2RI4RkMuiTJxOEmI6Potr3719mGdlkRH6bYBtKa193o4gwrhHWaoRxDSEl1hqssSil0FGEKXLKvKAsfJAJU/j9sigweU5Z5J54gdnzpZSHvsesPKREKk1jbo5sPKbIstuSXMzqm/H5Kc1t69zfSBHCtyMdENUbxM0mcbNFVG+QTcYkgz69jXXiZoNmu0UQKJr5Gk05ZnjqAb7YfZosMawvpfQbBauiyT898jma8d2UZcmk32VSTLh07QJxJokIMUXOuNdFSOnb5mT8g2lDtxGpFPaWKLkqCDh6z33oKJqVhe/39velUuSTCeloyLjfI5uMD13nrCUdDZkM+qSj4eue8Zddzrz3/fzMP/2f3+lsvC3yLlH0Dsrzv/a/8sdf+5MKNIEVAnO7MLkHvsXt8K+YAslb/00Ib1o09bXhPKEyvV44KnDtnzE7Vx0XB9Pp/whQgfCEfEXQ7JuZV5NIUREZVSqmz65SDpw7tF9F2iIIZkSPq1C/A5z0wM8JP2lJSg+i/saKEH4SWYWb/qvWkR4UKUW1yeqdBEGgiKLAT44c7O0M3jB0+iERHoh6DCFmE6KiKP/iymmWBzELX/+u/M0VK/aBke/f3D6JXf2e8vz7x93set/eK41T9u8lLQgLygmUlTOaZho1agqkvQ81D3g80XlQo6uS6VghJTqKcFpQWgM4tNA+j86T2kZ78KmkqoislMzk1YLHfr8cypBQhUQqohk2vakrr3/s6w8LFo6fIIhiRt09BtubFGnGYGeLPEkOAVwh5QzE66CabB74LZX3i1dMgzNMy2X6/9Myqs4hBOlwyHB3298jDFE6QGpdlZv/nzxJDvUvQqrbA7EDAFMIwbjXY9LrMmWhBcJHD1QapRRS6wqIqkrTmEPfcpp/Ua1YCCkO5OsAefy6GcPrx0spPfEwBb7T5041JKbv6knjaXlJglqNqFYnrNUJ6wf2a3Wieh0QmLKYgW2pNHGzeaAcJM7ZGbg1RbFfZgfAuQfvCqX2y+KvmzjnKFJPvmTjMVGjQXN+EakOh5Z/q/7SrDWM9vYY7e2QDId0lldYOHHSt/3bPNtZO6vHb1XS0YgiTz24m4E/edtnvBWZkusCQW9rg976Gg7nyQ0hZvXIlCX1doe42fKr/kFInib+HW4hcmZ1aKax/5dPRt09br50YdY/ZZMxWTKhzDPKLPNRQtOEPElwzs3KuMxzTFmggorEDKf9XeiPhcHsnAq8loYpvPaOPaD5YK2pUv/bFAWj7h5xo0lYr+8TXVU/4/sbf2zaT/h26jcVBDTn5r1m1cGFkwPPcraqc1JUBJ0iiCKCOPbPgwOrsK5aGLWHSH0VhARh5N/NORzOa3godcd2ctvjQlBvdwhr9Vkd5IAW2HBnm+1rVyiyzI8lWs/IDFsaiuo7ZeOR/yZTwjDPyZIJ6WhEOhqSjUeE9QZxo0Gt3QEHo+4u6WjE7s1rlNkbR1WeZVdKnLW0l1doLiwhKmKqvbyCsw6pFfX2HDoMCaKIMs+x1lBrtql3fLtx1lEWGbY0UC3yCbE/jhwk35kujFi7/42VX9HeW7tBb2uDMK55DFm1s72bN9i9+f+3d/cxsp11Ace/v3NmZl/vS0tvewullkIb3oKQFloib23BYAwiBpREhEBCiYSCYoQEQsCCiTG+AWKkoiWggoKABIqI0RChEQtKMLykFAulNNhbuJf23rs7szPn5x/nzOzs7d633d6Z3e73s5nszDlndp/ZPb9zzvN7nvM8dzT7XHN8H/RXn/f7VP0+nfl5Zhd3Mber7n1Xr6vXR1Ewu7DI3O49zO3azcz8QvP3b3P2Qy+gPTNDb3mJsqw/++j6utkXVss+/MutXpdEBJ3ZOapqwEq3S7/Xax7dOtHaW7tspdejKApm5hdoz81RFAVVv18n3ft9Bs2YsMTq+X73Oft4xJPul1vZlrZMoigingu8EyiB92Xm751o+wdDoui2r32Jr37u03WQJrTLNrMLi0Sr1UyDvnpiq6pqzc4/nKoxm9tPRgdShifcJMqClV6XkoIyC8oK8uAhqqVufbIY9BkcPkK1vNwkYYIsCmi11iZ7hgf5bpdqZYWq161broa9G4Yn5VaLcnGRcmaWot2iaLeJsh7ToKqq+kDRXNwPDyhlc2E8TADVnYzqClMVdUWqqid7p4qkonlEBbNtcr5N0xxKAZRFi3bZqcfnKUpmWrN1q3XWs2n0sp5ic64zz1x7nrPmzuasubNGf+dhK31Sf+aibI1OtMOKyGYuOPrdLlU1oCzrFqPZxUVanZnVXhnDlquI0d8oYrziEaNl4ye9bHotdI8cJqIYnaD7g7q1fniQHLbeJUlv0FvtldDsV+MXDDmop8EcDjw1ak1qflZEUDSZ/9UL/ai7YA6q1Zampgt33do5WPO9GvSb9YP7fa9Pvk3LSBHsOvdcdp2/vz7JVE1L1mDQdAFvfl9VrV4IrVlWsbRylGiXtObqVumqhEExVnkfJjGbXiCML8s8znPWbJv9werFzPCio1lddNrETIsoh7ffNRfmRdQn6yKgrP/HFMHdSwe4fflOlqsug+yz0Fqg0+rU/7Ncu68Oe/Ak2SRPV0+K9b6cq5V8hs9zTaU+h6+H63L1Z1dZ0R/UMyBBnTi+r3cfR3tHiIwmkVxbcyl2nNPI+H7XKdrMlDO0iw4Hlw+OjnNl1MeHYWW5KpJBczRYrrpQRLNv19sWFKNkyEJ7gYv3XEyn7FDSxFDTCycIWkWLlarHkZWjzJQd2kWbw70jHOoerCvtRUGv32NpsDT6uRHBoKpjooyChfYivapHVVDvn7O7mW3PMWBAnwGdosN8Z57Z9jxzC4ssztcz3Sy0F2g3g20OZ/oZ5IDhbETDGYn2zOxhvjVPu2jTKTtrZtARdI8eJQJanZk1FeoH0ulUziVJOl1Lh++j3+1SlCVHDh1k73n7+e7X/pujhw5BBHvP28+e8/YzM7/A3OIuqqq+9UmahOMliia6B0ZECbwHeA5wJ3BLRHwyM78xyXJM2u177uV3zjnOqOgJnMrwG01y5biOnWRhoWltbipjuzu7ecjcQ5gtZ+tpNbMH9JgpZ5hpzTBbzlJEQZUVVS7UmWWq5nX9GOSAlcEKK9UKK9VP6A0O0K/6zLZm6+lCBz1WBiv8uPvjUcVuqGgqcMcuf8Ac23lkeD9Et3kchot2X0S7bFNGWT+Kkla06rL1i3o7hi3wq8+Hld2I1edr/hfrVJLbZZt20V6tlP9wvHLOmr/tIAdk5rrf19tmqb/Ej5Z+NKosB3G/qUa3vLJ5tKn33WNv8b37fu9YX3Dio1ifU4uvU/k94//zk9VXTzWuqWPjsWc/lsXOIjNFycHefXT7h5sfs5oEGu6Lw/1w9H29ZeO3Bo3tJ6PeCM1X0YwrNP66U3Yooxzt6zOtGS7ec/GoHFVWdIq650iraK15zLXmOGfunPq2oqIzioP51vyaGXiW+/X+2i7aJ5yZp2panuE4rYR60Kt7rZxZ7luSpDNpbnEXLO4CYGFv3XB96RU/c9ztyy3aO047y6RTlU8BbsvM/wWIiA8Dzwce1ImiJ+57Iu+++t30Br16VovBCt1Bt64EHVvZO4XK33rbtMs2y/1ljvaPcnTlKEdWjjDIAa2oB50+cPQAB7sH6Q16LA+WKZsBbZf7yxxaPkS3mW0lIigoRrfSjD9vFS1mW7PsKnbRLtqjpMtyf3m0rlW02Duzl31z+9bc836oe4hBDuiUHWbL2dEtCuOP0bLWzKgiOmxhH84MMsi658jyYJml/lJzK0SXIytHKKJgvjU/as1fGaxwb+9e7u3dy8133cwd995RT6VZDZopNevn/eyvSWCNKudjXRuHCZ7h82NboMd7Tgx78fSr/mib9f5nZZSjBNrw0SpadKKpqEes+T7cZqacGU1nnE2vs/n2/JqeCMPfU1DQXmfQuPWs6XW03vqTVKZO+v5T+PnFWI+Q4XNYTTSeaP8cvm/vzF5aRatOslGNbolZb+rm9cq03uc8drtTfd+6n/OY9+7q7KrHU9lBZlvHmT74GFthum1JkiRpp5l0ouhhwPfHXt8JXHHsRhFxLXAtwIUXXjiZkp1B++b38az5Z027GDvS+ZwPwJP3P3nKJZEkSZIkaeubdHPtek3u97txJzNvyMzLM/Pyffv2TaBYkiRJkiRJmnSi6E7g4WOvLwDumnAZJEmSJEmStI5JJ4puAS6JiEdERAd4MfDJCZdBkiRJkiRJ65joGEWZ2Y+I1wCfpZ436K8y8+uTLIMkSZIkSZLWN+nBrMnMm4CbJv17JUmSJEmSdGLOPSxJkiRJkiTARJEkSZIkSZIaJookSZIkSZIEmCiSJEmSJElSw0SRJEmSJEmSABNFkiRJkiRJapgokiRJkiRJEmCiSJIkSZIkSQ0TRZIkSZIkSQJMFEmSJEmSJKlhokiSJEmSJEmAiSJJkiRJkiQ1TBRJkiRJkiQJMFEkSZIkSZKkhokiSZIkSZIkARCZOe0ynFBEHAC+N+1ybBPnAPdMuxDSNmYMSRtn/EgbZ/xIm2MMSRvzU5m579iFWz5RpFMXEV/OzMunXQ5puzKGpI0zfqSNM36kzTGGpAeWt55JkiRJkiQJMFEkSZIkSZKkhomiB5cbpl0AaZszhqSNM36kjTN+pM0xhqQHkGMUSZIkSZIkCbBHkSRJkiRJkhomiiRJkqQzLCJi2mWQtivjR5osE0XbTERcHhHnTrsc0nYUEc+OiMumXQ5pu4qIPWPPvWiXTk9r2gWQtrH2tAsg7SQmiraJiHhcRNwMvBXYO+3ySNtJRDwpIj4DfBx41LTLI203EXFFRPwj8L6IeEVEzKSDHEqnJCKujIi/Aa6PiEsiopx2maTtIiKeGhEfAf4gIh5r/EiTYaJo+3gd8PHMfF5m3gq25konExFlRNwA/AXwXuBvgcc06zz+SacgIp4AvAf4KPAR4GpMuEqnJCIeD7wb+BTwf8C1wEubdV7HSSfQ3EXxp8BNwD3U9aFXNOuMH+kMsqK0xTUV3bOBpD5QEhEviIgLgLnmtQdKaR2ZOQD+CXh6Zn4C+AfgqoiYzcxquqWTto3LgNsy84PA54BZ4I7hSs9B0gldCXwrMz9E3WhxFPjViLgoM9P4kU7op4FbM/NG4A+BjwHPj4hLjR/pzDJRtAVFxDMj4goYVXSPAs8Aro6IvwZeBbwD+JNmG7v/S43x+AHIzI9l5lJzMVEBtwLzUyugtMUdG0PAp4EXRMTvAv8DXAC8KyLeCJ6DpHHrxM8twMMj4pGZeYT6PPQT4JVg/EjjIuIXI+JNEfHzzaKvApePxc8twJep60LGj3QGmSjaQiJiV0R8jHoclVdFxFkAmbkM3Ejd9f+zmflc4M3A4yPi56ZWYGkLOV78RKO5mPgWcA11jwh7QkhjTnAOupu6VbcFvCkzrwTeDzwtIp46rfJKW8k68XN2s+o7wH8CN0bEJ4DLqW/hbEXE7HRKK20tEbGviY/XAz+mjpcXZuYB6t7g1zWbHgL+BZiPiPOnU1ppZzBRtLX0gH8FXgLcBbxobN2fUd9qtg8gM38AfIG6ZUrSceInGxFRZOadwJeAFw7XTauw0hZ03HNQZn4LeDTw/WbRV4C7ge6EyyhtVcc7Bx3OzDcArwHen5nPA24DntA0BEqCRwJfzMxnZOafA78F/Gaz7kPAoyPimmbYgB8BD6PumSfpDDFRNGUR8dKmm/LezOwC76POlN9K3dXyUqgvNKiz6S+LiCdGxK8Dzwa+O6WiS1N3qvHTJImqiGgB3waOTK/U0tZxqjHU+GfgbU1PvBcDj6O+YJd2pJPEz2Xj8ZOZX2vGyoN6QPj/sFerdrImfp4VEfPUjQ8faJaXwDeaB9S3PH8YeGdEPIq6Z3gAncmXWto5wgb1yWsuDPZTz8BUUXdLXgBel5n3NNtcArwMWM7Md4y991eobwF4HPUtAF+fcPGlqdpo/Iwli/4YOJyZb5nKB5Cm7DRjqJuZb2+WzQE3AOcCJfDazPzG/X+D9OC1yWu4y6gH5B0A12bmdyZcfGmqThY/EVFm5iAiXgL8Qmb+8th73wBcSt279ZWZ+c3JfwJp57BH0YQ1B8AEdgE/yMxrgFdT34/73uF2mflt6uz6QyPiURGxEBHtzPw74M2Z+XyTRNppNhE/szSzBAKvN0mknWoDMXR+RFwSEfOZuQS8HHhZZj7bJJF2mk2cg4bnn+8Cb83Ma0wSaac5SfzccMzmPwt8tHnffoDM/H3g1Zn5NJNE0pnXmnYBdormlpfrgTIibgJ2U7cokZn9iHgtcFdEPDMzP98s/3hEPIZ6eu9F4Crgm46rop3G+JE2Z5Mx9BlgMSKuai7OfzidTyFNxwNxDoqIq5vk6uen8ymk6dhI/ACHgdsj4nrglyLiuZl5Z2b2pvEZpJ3IHkUTEBHPpG5ZOot6AMO3AyvAVRHxFBgNqns98Lax972Ienazf6Me9NDsuXYc40faHGNI2rgHMH7sgacdZyPx04xR9ArqHkW7gauayUgkTZBjFE1ARDwduCgzP9i8/jPqgdmWgOsy87KIKKjHfXgX8MbMvL15H5n571MqujR1xo+0OcaQtHHGj7RxG4if36a+4+U64AOZ+V/TKbkkexRNxleAv28y5ABfBC7MzPdTd8O8rpnu8QJgkJm3Q31x4QWGZPxIm2QMSRtn/EgbdzrxU2Xm9zLzO5n5GyaJpOkyUTQBmXk0M7uZOWgWPQc40Dx/OfCYiPgU8CHAg6I0xviRNscYkjbO+JE27jTj5yswmhlN0pQ5mPUENdn0BM4DPtksvg94E/B44PbM/MGUiidtacaPtDnGkLRxxo+0cacTP046Im0N9iiarApoA/cAT2gy6G+h7mr5BS8wpBMyfqTNMYakjTN+pI0zfqRtxsGsJywirgRubh43ZuZfTrlI0rZh/EibYwxJG2f8SBtn/Ejbi4miCYuIC4BfA/4oM7vTLo+0nRg/0uYYQ9LGGT/Sxhk/0vZiokiSJEmSJEmAYxRJkiRJkiSpYaJIkiRJkiRJgIkiSZIkSZIkNUwUSZIkSZIkCTBRJEmSJEmSpIaJIkmSJEmSJAEmiiRJkiRJktQwUSRJkiRJkiQA/h96v+vl2qWmSgAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "portfolio_5yrs.plot(title='Daily Returns of each individual stock', figsize=(20,10));"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 2160x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "portfolio_5yrs_daily = portfolio_5yrs.pct_change()\n",
+    "portfolio_5yrs_1 = (1 + portfolio_5yrs_daily).cumprod() - 1\n",
+    "portfolio_5yrs_1.plot(figsize=(30,10), title='Cumulative Returns of Each Stock in our Portfolio');"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Predict the Direction of the Portfolio compared to the S&P500 Using Monte Carlo Simulation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Monte Carlo Simulation of the Portfolio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load .env enviroment variables\n",
+    "from dotenv import load_dotenv\n",
+    "load_dotenv()\n",
+    "\n",
+    "# Set Alpaca API key and secret\n",
+    "alpaca_api_key = os.getenv(\"ALPACA_API_KEY\")\n",
+    "alpaca_secret_key = os.getenv(\"ALPACA_SECRET_KEY\")\n",
+    "\n",
+    "api = tradeapi.REST(\n",
+    "    alpaca_api_key,\n",
+    "    alpaca_secret_key,\n",
+    "    api_version = \"v2\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set timeframe to '1D'\n",
+    "timeframe = \"1D\"\n",
+    "\n",
+    "# Set start and end datetimes between now and 3 years ago.\n",
+    "start_date = pd.Timestamp(\"2015-11-19\", tz=\"America/New_York\").isoformat()\n",
+    "end_date = pd.Timestamp(\"2020-10-01\", tz=\"America/New_York\").isoformat()\n",
+    "\n",
+    "# Set the ticker information\n",
+    "tickers = ['SPY','AMT','ORCL','PPG','COST','MSFT','UNH','TROW','BLK','NVDA','FB','BABA','CRM','PFE','NFLX','SQ']\n",
+    "\n",
+    "# Get 5 years of past data of portfolios\n",
+    "df_ticker = api.get_barset(\n",
+    "    tickers,\n",
+    "    timeframe,\n",
+    "    start=start_date,\n",
+    "    end=end_date\n",
+    ").df\n",
+    "\n",
+    "df_ticker.index = df_ticker.index.date\n",
+    "df_ticker.head()\n",
+    "df_ticker.to_csv('df_ticker.csv') "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Configuring a Monte Carlo simulation to forecast five years cumulative returns\n",
+    "MC_fiveyear = MCSimulation(\n",
+    "    portfolio_data = df_ticker,\n",
+    "    weights = [0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.40,0.04,0.04,0.04],\n",
+    "    num_simulation = 500,\n",
+    "    num_trading_days = 252*5\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"6\" halign=\"left\">AMT</th>\n",
+       "      <th colspan=\"4\" halign=\"left\">BABA</th>\n",
+       "      <th>...</th>\n",
+       "      <th colspan=\"4\" halign=\"left\">TROW</th>\n",
+       "      <th colspan=\"6\" halign=\"left\">UNH</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>open</th>\n",
+       "      <th>high</th>\n",
+       "      <th>low</th>\n",
+       "      <th>close</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>daily_return</th>\n",
+       "      <th>open</th>\n",
+       "      <th>high</th>\n",
+       "      <th>low</th>\n",
+       "      <th>close</th>\n",
+       "      <th>...</th>\n",
+       "      <th>low</th>\n",
+       "      <th>close</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>daily_return</th>\n",
+       "      <th>open</th>\n",
+       "      <th>high</th>\n",
+       "      <th>low</th>\n",
+       "      <th>close</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>daily_return</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>99.87</td>\n",
+       "      <td>100.26</td>\n",
+       "      <td>99.22</td>\n",
+       "      <td>99.62</td>\n",
+       "      <td>1223026.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>78.06</td>\n",
+       "      <td>79.150</td>\n",
+       "      <td>77.403</td>\n",
+       "      <td>77.910</td>\n",
+       "      <td>...</td>\n",
+       "      <td>76.0100</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>521700</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>109.74</td>\n",
+       "      <td>113.71</td>\n",
+       "      <td>109.61</td>\n",
+       "      <td>110.61</td>\n",
+       "      <td>13240076.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>100.20</td>\n",
+       "      <td>100.87</td>\n",
+       "      <td>99.53</td>\n",
+       "      <td>100.47</td>\n",
+       "      <td>1023837.0</td>\n",
+       "      <td>0.008532</td>\n",
+       "      <td>78.44</td>\n",
+       "      <td>80.785</td>\n",
+       "      <td>78.400</td>\n",
+       "      <td>79.965</td>\n",
+       "      <td>...</td>\n",
+       "      <td>75.9100</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>671459</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>111.01</td>\n",
+       "      <td>114.44</td>\n",
+       "      <td>110.60</td>\n",
+       "      <td>113.00</td>\n",
+       "      <td>5609101.0</td>\n",
+       "      <td>0.021607</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>100.49</td>\n",
+       "      <td>100.67</td>\n",
+       "      <td>99.45</td>\n",
+       "      <td>99.93</td>\n",
+       "      <td>755145.0</td>\n",
+       "      <td>-0.005375</td>\n",
+       "      <td>80.45</td>\n",
+       "      <td>82.190</td>\n",
+       "      <td>79.970</td>\n",
+       "      <td>81.310</td>\n",
+       "      <td>...</td>\n",
+       "      <td>76.0200</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>425575</td>\n",
+       "      <td>-0.003011</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>114.49</td>\n",
+       "      <td>112.10</td>\n",
+       "      <td>112.15</td>\n",
+       "      <td>3006888.0</td>\n",
+       "      <td>-0.007522</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>99.28</td>\n",
+       "      <td>99.45</td>\n",
+       "      <td>98.32</td>\n",
+       "      <td>99.27</td>\n",
+       "      <td>1054663.0</td>\n",
+       "      <td>-0.006605</td>\n",
+       "      <td>80.85</td>\n",
+       "      <td>81.110</td>\n",
+       "      <td>79.270</td>\n",
+       "      <td>80.790</td>\n",
+       "      <td>...</td>\n",
+       "      <td>74.9701</td>\n",
+       "      <td>75.63</td>\n",
+       "      <td>593463</td>\n",
+       "      <td>-0.006829</td>\n",
+       "      <td>111.70</td>\n",
+       "      <td>113.45</td>\n",
+       "      <td>111.06</td>\n",
+       "      <td>113.23</td>\n",
+       "      <td>2363542.0</td>\n",
+       "      <td>0.009630</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>99.15</td>\n",
+       "      <td>99.60</td>\n",
+       "      <td>98.90</td>\n",
+       "      <td>99.07</td>\n",
+       "      <td>622603.0</td>\n",
+       "      <td>-0.002015</td>\n",
+       "      <td>80.91</td>\n",
+       "      <td>82.675</td>\n",
+       "      <td>80.820</td>\n",
+       "      <td>81.630</td>\n",
+       "      <td>...</td>\n",
+       "      <td>75.3400</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>631376</td>\n",
+       "      <td>0.005024</td>\n",
+       "      <td>113.47</td>\n",
+       "      <td>115.05</td>\n",
+       "      <td>113.00</td>\n",
+       "      <td>114.42</td>\n",
+       "      <td>2408146.0</td>\n",
+       "      <td>0.010510</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 96 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               AMT                                                  BABA  \\\n",
+       "              open    high    low   close     volume daily_return   open   \n",
+       "2015-11-19   99.87  100.26  99.22   99.62  1223026.0          NaN  78.06   \n",
+       "2015-11-20  100.20  100.87  99.53  100.47  1023837.0     0.008532  78.44   \n",
+       "2015-11-23  100.49  100.67  99.45   99.93   755145.0    -0.005375  80.45   \n",
+       "2015-11-24   99.28   99.45  98.32   99.27  1054663.0    -0.006605  80.85   \n",
+       "2015-11-25   99.15   99.60  98.90   99.07   622603.0    -0.002015  80.91   \n",
+       "\n",
+       "                                    ...     TROW                              \\\n",
+       "              high     low   close  ...      low  close  volume daily_return   \n",
+       "2015-11-19  79.150  77.403  77.910  ...  76.0100  76.38  521700          NaN   \n",
+       "2015-11-20  80.785  78.400  79.965  ...  75.9100  76.38  671459     0.000000   \n",
+       "2015-11-23  82.190  79.970  81.310  ...  76.0200  76.15  425575    -0.003011   \n",
+       "2015-11-24  81.110  79.270  80.790  ...  74.9701  75.63  593463    -0.006829   \n",
+       "2015-11-25  82.675  80.820  81.630  ...  75.3400  76.01  631376     0.005024   \n",
+       "\n",
+       "               UNH                                                   \n",
+       "              open    high     low   close      volume daily_return  \n",
+       "2015-11-19  109.74  113.71  109.61  110.61  13240076.0          NaN  \n",
+       "2015-11-20  111.01  114.44  110.60  113.00   5609101.0     0.021607  \n",
+       "2015-11-23  112.97  114.49  112.10  112.15   3006888.0    -0.007522  \n",
+       "2015-11-24  111.70  113.45  111.06  113.23   2363542.0     0.009630  \n",
+       "2015-11-25  113.47  115.05  113.00  114.42   2408146.0     0.010510  \n",
+       "\n",
+       "[5 rows x 96 columns]"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Printing the simulation input data\n",
+    "MC_fiveyear.portfolio_data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running Monte Carlo simulation number 0.\n",
+      "Running Monte Carlo simulation number 10.\n",
+      "Running Monte Carlo simulation number 20.\n",
+      "Running Monte Carlo simulation number 30.\n",
+      "Running Monte Carlo simulation number 40.\n",
+      "Running Monte Carlo simulation number 50.\n",
+      "Running Monte Carlo simulation number 60.\n",
+      "Running Monte Carlo simulation number 70.\n",
+      "Running Monte Carlo simulation number 80.\n",
+      "Running Monte Carlo simulation number 90.\n",
+      "Running Monte Carlo simulation number 100.\n",
+      "Running Monte Carlo simulation number 110.\n",
+      "Running Monte Carlo simulation number 120.\n",
+      "Running Monte Carlo simulation number 130.\n",
+      "Running Monte Carlo simulation number 140.\n",
+      "Running Monte Carlo simulation number 150.\n",
+      "Running Monte Carlo simulation number 160.\n",
+      "Running Monte Carlo simulation number 170.\n",
+      "Running Monte Carlo simulation number 180.\n",
+      "Running Monte Carlo simulation number 190.\n",
+      "Running Monte Carlo simulation number 200.\n",
+      "Running Monte Carlo simulation number 210.\n",
+      "Running Monte Carlo simulation number 220.\n",
+      "Running Monte Carlo simulation number 230.\n",
+      "Running Monte Carlo simulation number 240.\n",
+      "Running Monte Carlo simulation number 250.\n",
+      "Running Monte Carlo simulation number 260.\n",
+      "Running Monte Carlo simulation number 270.\n",
+      "Running Monte Carlo simulation number 280.\n",
+      "Running Monte Carlo simulation number 290.\n",
+      "Running Monte Carlo simulation number 300.\n",
+      "Running Monte Carlo simulation number 310.\n",
+      "Running Monte Carlo simulation number 320.\n",
+      "Running Monte Carlo simulation number 330.\n",
+      "Running Monte Carlo simulation number 340.\n",
+      "Running Monte Carlo simulation number 350.\n",
+      "Running Monte Carlo simulation number 360.\n",
+      "Running Monte Carlo simulation number 370.\n",
+      "Running Monte Carlo simulation number 380.\n",
+      "Running Monte Carlo simulation number 390.\n",
+      "Running Monte Carlo simulation number 400.\n",
+      "Running Monte Carlo simulation number 410.\n",
+      "Running Monte Carlo simulation number 420.\n",
+      "Running Monte Carlo simulation number 430.\n",
+      "Running Monte Carlo simulation number 440.\n",
+      "Running Monte Carlo simulation number 450.\n",
+      "Running Monte Carlo simulation number 460.\n",
+      "Running Monte Carlo simulation number 470.\n",
+      "Running Monte Carlo simulation number 480.\n",
+      "Running Monte Carlo simulation number 490.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <th>4</th>\n",
+       "      <th>5</th>\n",
+       "      <th>6</th>\n",
+       "      <th>7</th>\n",
+       "      <th>8</th>\n",
+       "      <th>9</th>\n",
+       "      <th>...</th>\n",
+       "      <th>490</th>\n",
+       "      <th>491</th>\n",
+       "      <th>492</th>\n",
+       "      <th>493</th>\n",
+       "      <th>494</th>\n",
+       "      <th>495</th>\n",
+       "      <th>496</th>\n",
+       "      <th>497</th>\n",
+       "      <th>498</th>\n",
+       "      <th>499</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.988906</td>\n",
+       "      <td>0.992738</td>\n",
+       "      <td>1.004556</td>\n",
+       "      <td>0.999826</td>\n",
+       "      <td>1.019771</td>\n",
+       "      <td>1.007745</td>\n",
+       "      <td>1.007251</td>\n",
+       "      <td>0.998771</td>\n",
+       "      <td>1.004968</td>\n",
+       "      <td>1.000143</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.999099</td>\n",
+       "      <td>1.002478</td>\n",
+       "      <td>0.995256</td>\n",
+       "      <td>1.003035</td>\n",
+       "      <td>0.999229</td>\n",
+       "      <td>1.002819</td>\n",
+       "      <td>0.997936</td>\n",
+       "      <td>1.000725</td>\n",
+       "      <td>1.004905</td>\n",
+       "      <td>1.009358</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.000231</td>\n",
+       "      <td>0.983574</td>\n",
+       "      <td>1.007855</td>\n",
+       "      <td>0.992816</td>\n",
+       "      <td>1.021925</td>\n",
+       "      <td>1.011343</td>\n",
+       "      <td>1.012067</td>\n",
+       "      <td>0.990642</td>\n",
+       "      <td>1.003769</td>\n",
+       "      <td>1.006738</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.987214</td>\n",
+       "      <td>0.998806</td>\n",
+       "      <td>0.986071</td>\n",
+       "      <td>1.003211</td>\n",
+       "      <td>1.006305</td>\n",
+       "      <td>1.008104</td>\n",
+       "      <td>1.001064</td>\n",
+       "      <td>1.010572</td>\n",
+       "      <td>1.001237</td>\n",
+       "      <td>1.002946</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.010592</td>\n",
+       "      <td>0.977863</td>\n",
+       "      <td>1.009138</td>\n",
+       "      <td>0.990491</td>\n",
+       "      <td>1.025458</td>\n",
+       "      <td>1.010544</td>\n",
+       "      <td>1.008247</td>\n",
+       "      <td>0.983712</td>\n",
+       "      <td>1.013359</td>\n",
+       "      <td>1.004604</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.987479</td>\n",
+       "      <td>1.002671</td>\n",
+       "      <td>0.980681</td>\n",
+       "      <td>1.003311</td>\n",
+       "      <td>1.003199</td>\n",
+       "      <td>1.011846</td>\n",
+       "      <td>0.996115</td>\n",
+       "      <td>1.008727</td>\n",
+       "      <td>1.000527</td>\n",
+       "      <td>1.006174</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.005319</td>\n",
+       "      <td>0.980648</td>\n",
+       "      <td>1.010839</td>\n",
+       "      <td>0.977525</td>\n",
+       "      <td>1.029364</td>\n",
+       "      <td>1.006141</td>\n",
+       "      <td>1.010913</td>\n",
+       "      <td>0.974858</td>\n",
+       "      <td>1.008486</td>\n",
+       "      <td>1.018001</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.988055</td>\n",
+       "      <td>1.001119</td>\n",
+       "      <td>0.972495</td>\n",
+       "      <td>1.016748</td>\n",
+       "      <td>1.006018</td>\n",
+       "      <td>1.017986</td>\n",
+       "      <td>0.998785</td>\n",
+       "      <td>0.997503</td>\n",
+       "      <td>1.009362</td>\n",
+       "      <td>1.006961</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1256</th>\n",
+       "      <td>2.681510</td>\n",
+       "      <td>2.714074</td>\n",
+       "      <td>3.129739</td>\n",
+       "      <td>2.122219</td>\n",
+       "      <td>2.211689</td>\n",
+       "      <td>3.108551</td>\n",
+       "      <td>2.366765</td>\n",
+       "      <td>2.301400</td>\n",
+       "      <td>3.123605</td>\n",
+       "      <td>2.943667</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.845321</td>\n",
+       "      <td>2.521428</td>\n",
+       "      <td>2.972285</td>\n",
+       "      <td>1.826912</td>\n",
+       "      <td>2.237883</td>\n",
+       "      <td>2.767765</td>\n",
+       "      <td>3.514696</td>\n",
+       "      <td>2.809148</td>\n",
+       "      <td>2.941521</td>\n",
+       "      <td>2.422336</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1257</th>\n",
+       "      <td>2.665012</td>\n",
+       "      <td>2.701744</td>\n",
+       "      <td>3.128599</td>\n",
+       "      <td>2.123213</td>\n",
+       "      <td>2.219305</td>\n",
+       "      <td>3.114594</td>\n",
+       "      <td>2.361819</td>\n",
+       "      <td>2.298613</td>\n",
+       "      <td>3.133656</td>\n",
+       "      <td>2.939636</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.860250</td>\n",
+       "      <td>2.529545</td>\n",
+       "      <td>2.950719</td>\n",
+       "      <td>1.819020</td>\n",
+       "      <td>2.245103</td>\n",
+       "      <td>2.786420</td>\n",
+       "      <td>3.526299</td>\n",
+       "      <td>2.812569</td>\n",
+       "      <td>2.947462</td>\n",
+       "      <td>2.421209</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1258</th>\n",
+       "      <td>2.651200</td>\n",
+       "      <td>2.710310</td>\n",
+       "      <td>3.150072</td>\n",
+       "      <td>2.121996</td>\n",
+       "      <td>2.215572</td>\n",
+       "      <td>3.138387</td>\n",
+       "      <td>2.374203</td>\n",
+       "      <td>2.287730</td>\n",
+       "      <td>3.157144</td>\n",
+       "      <td>2.943312</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.845241</td>\n",
+       "      <td>2.543793</td>\n",
+       "      <td>2.960243</td>\n",
+       "      <td>1.791609</td>\n",
+       "      <td>2.261302</td>\n",
+       "      <td>2.782278</td>\n",
+       "      <td>3.539779</td>\n",
+       "      <td>2.814054</td>\n",
+       "      <td>2.964892</td>\n",
+       "      <td>2.422563</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1259</th>\n",
+       "      <td>2.636045</td>\n",
+       "      <td>2.707250</td>\n",
+       "      <td>3.200067</td>\n",
+       "      <td>2.132133</td>\n",
+       "      <td>2.214408</td>\n",
+       "      <td>3.120123</td>\n",
+       "      <td>2.385360</td>\n",
+       "      <td>2.304294</td>\n",
+       "      <td>3.170685</td>\n",
+       "      <td>2.928730</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.846437</td>\n",
+       "      <td>2.534774</td>\n",
+       "      <td>2.936721</td>\n",
+       "      <td>1.801300</td>\n",
+       "      <td>2.280655</td>\n",
+       "      <td>2.779005</td>\n",
+       "      <td>3.584346</td>\n",
+       "      <td>2.814123</td>\n",
+       "      <td>2.979713</td>\n",
+       "      <td>2.419751</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1260</th>\n",
+       "      <td>2.639582</td>\n",
+       "      <td>2.721021</td>\n",
+       "      <td>3.183625</td>\n",
+       "      <td>2.138284</td>\n",
+       "      <td>2.234573</td>\n",
+       "      <td>3.130881</td>\n",
+       "      <td>2.357290</td>\n",
+       "      <td>2.289600</td>\n",
+       "      <td>3.186898</td>\n",
+       "      <td>2.952471</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.839032</td>\n",
+       "      <td>2.536185</td>\n",
+       "      <td>2.942237</td>\n",
+       "      <td>1.813642</td>\n",
+       "      <td>2.286542</td>\n",
+       "      <td>2.786899</td>\n",
+       "      <td>3.544287</td>\n",
+       "      <td>2.820473</td>\n",
+       "      <td>3.005625</td>\n",
+       "      <td>2.424375</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1261 rows × 500 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           0         1         2         3         4         5         6    \\\n",
+       "0     1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000   \n",
+       "1     0.988906  0.992738  1.004556  0.999826  1.019771  1.007745  1.007251   \n",
+       "2     1.000231  0.983574  1.007855  0.992816  1.021925  1.011343  1.012067   \n",
+       "3     1.010592  0.977863  1.009138  0.990491  1.025458  1.010544  1.008247   \n",
+       "4     1.005319  0.980648  1.010839  0.977525  1.029364  1.006141  1.010913   \n",
+       "...        ...       ...       ...       ...       ...       ...       ...   \n",
+       "1256  2.681510  2.714074  3.129739  2.122219  2.211689  3.108551  2.366765   \n",
+       "1257  2.665012  2.701744  3.128599  2.123213  2.219305  3.114594  2.361819   \n",
+       "1258  2.651200  2.710310  3.150072  2.121996  2.215572  3.138387  2.374203   \n",
+       "1259  2.636045  2.707250  3.200067  2.132133  2.214408  3.120123  2.385360   \n",
+       "1260  2.639582  2.721021  3.183625  2.138284  2.234573  3.130881  2.357290   \n",
+       "\n",
+       "           7         8         9    ...       490       491       492  \\\n",
+       "0     1.000000  1.000000  1.000000  ...  1.000000  1.000000  1.000000   \n",
+       "1     0.998771  1.004968  1.000143  ...  0.999099  1.002478  0.995256   \n",
+       "2     0.990642  1.003769  1.006738  ...  0.987214  0.998806  0.986071   \n",
+       "3     0.983712  1.013359  1.004604  ...  0.987479  1.002671  0.980681   \n",
+       "4     0.974858  1.008486  1.018001  ...  0.988055  1.001119  0.972495   \n",
+       "...        ...       ...       ...  ...       ...       ...       ...   \n",
+       "1256  2.301400  3.123605  2.943667  ...  2.845321  2.521428  2.972285   \n",
+       "1257  2.298613  3.133656  2.939636  ...  2.860250  2.529545  2.950719   \n",
+       "1258  2.287730  3.157144  2.943312  ...  2.845241  2.543793  2.960243   \n",
+       "1259  2.304294  3.170685  2.928730  ...  2.846437  2.534774  2.936721   \n",
+       "1260  2.289600  3.186898  2.952471  ...  2.839032  2.536185  2.942237   \n",
+       "\n",
+       "           493       494       495       496       497       498       499  \n",
+       "0     1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  \n",
+       "1     1.003035  0.999229  1.002819  0.997936  1.000725  1.004905  1.009358  \n",
+       "2     1.003211  1.006305  1.008104  1.001064  1.010572  1.001237  1.002946  \n",
+       "3     1.003311  1.003199  1.011846  0.996115  1.008727  1.000527  1.006174  \n",
+       "4     1.016748  1.006018  1.017986  0.998785  0.997503  1.009362  1.006961  \n",
+       "...        ...       ...       ...       ...       ...       ...       ...  \n",
+       "1256  1.826912  2.237883  2.767765  3.514696  2.809148  2.941521  2.422336  \n",
+       "1257  1.819020  2.245103  2.786420  3.526299  2.812569  2.947462  2.421209  \n",
+       "1258  1.791609  2.261302  2.782278  3.539779  2.814054  2.964892  2.422563  \n",
+       "1259  1.801300  2.280655  2.779005  3.584346  2.814123  2.979713  2.419751  \n",
+       "1260  1.813642  2.286542  2.786899  3.544287  2.820473  3.005625  2.424375  \n",
+       "\n",
+       "[1261 rows x 500 columns]"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Running a Monte Carlo simulation to forecast five years cumulative returns\n",
+    "MC_fiveyear.calc_cumulative_return()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot simulation outcomes\n",
+    "line_plot = MC_fiveyear.plot_simulation()\n",
+    "\n",
+    "# Save the plot for future usage\n",
+    "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_simulation2.png\", bbox_inches=\"tight\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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IFzTMAo7Il/62Kn8w8NGI2LfVfDMzW7fUfUPX8cDcxpUr+ZLmiaR7drVyBMv/47+t4cOHx5gxYwYqxsFz113p7w6134fUbGjyd2RA3XTTTQ9GRE//JctRd5IawYr/hd5Lm8t48/9ATQBObDP/BNK9yhg9ejSzZ88e2EgHw957p7/XXjuYUZiVy9+RASXpnv5LlaXuc1Kt7njQbnzxYOA3+V5PKy8UcVZEjIuIcT09Q+pAwMzMVlHdSaqXFW9pNJJ0S41WJtHBUJ+Zma076k5Ss4Cx+bZDG5IS0YzmQvn2G3uRfivKzMwMqPmcVEQsk3Qi6TdQhgHTImKOpMl5/tRc9FDg6nwfLDMzM6D+CyeIiJnke8BVpk1ten0O+YaNZmZmDb7jhJmZFctJyszMiuUkZWZmxXKSMjOzYtV+4YQNvjFTrhi0dc8/7cBBW7eZDX1OUlarwUqQTo5mawcP95mZWbGcpMzMrFhOUmZmViwnKTMzK5aTlJmZFctJyszMiuUkZWZmxXKSMjOzYjlJmZlZsZykzMysWE5SZmZWLCcpMzMrlpOUmZkVy0nKzMyK5SRlZmbFcpIyM7Ni1Z6kJE2QdJekuZKmtCmzt6RbJM2RdF3dMZmZ2dBQ6y/zShoGnAnsB/QCsyTNiIjbK2W2AL4LTIiIv0p6cZ0xmZnZ0FF3T2o8MDci5kXEUmA6MLGpzJHAJRHxV4CIeKDmmMzMbIioO0mNAO6tvO7N06q2B14g6VpJN0k6plVFkk6QNFvS7IULF9YUrpmZlaTuJKUW06Lp9frAq4EDgTcDn5W0/UoLRZwVEeMiYlxPT8/AR2pmZsWp9ZwUqec0qvJ6JLCgRZkHI+Jx4HFJ1wO7AHfXHJuZmRWu7p7ULGCspG0kbQhMAmY0lfkp8K+S1pe0CbAHcEfNcZmZ2RBQa08qIpZJOhG4ChgGTIuIOZIm5/lTI+IOST8HbgOeBc6OiD/WGZeZmQ0NdQ/3EREzgZlN06Y2vf4a8LW6YzEzs6HFd5wwM7NiOUmZmVmxnKTMzKxYTlJmZlYsJykzMytW7Vf3mQ2GMVOuGLR1zz/twEFbt9naxj0pMzMrlpOUmZkVy0nKzMyK5SRlZmbFcpIyM7NiOUmZmVmxnKTMzKxYTlJmZlYsJykzMyuWk5SZmRXLScrMzIrlJGVmZsVykjIzs2I5SZmZWbGcpMzMrFhOUmZmVqzak5SkCZLukjRX0pQW8/eW9IikW/Lj1LpjMjOzoaHWX+aVNAw4E9gP6AVmSZoREbc3Ff1VRBxUZyxmZjb01N2TGg/MjYh5EbEUmA5MrHmdZma2lqg7SY0A7q287s3Tmr1W0q2SrpS0U6uKJJ0gabak2QsXLqwjVjMzK0zdSUotpkXT65uBrSNiF+A7wGWtKoqIsyJiXESM6+npGeAwzcysRHUnqV5gVOX1SGBBtUBEPBoRS/LzmcAGkobXHJeZmQ0BdSepWcBYSdtI2hCYBMyoFpC0pSTl5+NzTItqjsvMzIaAWq/ui4hlkk4ErgKGAdMiYo6kyXn+VOAw4P2SlgFPApMionlI0MzM1kG1Jil4bghvZtO0qZXnZwBn1B2HmZkNPb7jhJmZFctJyszMiuUkZWZmxXKSMjOzYjlJmZlZsZykzMysWE5SZmZWLCcpMzMrlpOUmZkVy0nKzMyK5SRlZmbFcpIyM7NiOUmZmVmxnKTMzKxYTlJmZlYsJykzMyuWk5SZmRWr4yQl6ZV1BmJmZtasm57UVEk3SvqApC1qi8jMzCzrOElFxOuAo4BRwGxJF0jar7bIzMxsndfVOamI+BPwGeAUYC/g25LulPTWOoIzM7N1WzfnpHaW9E3gDmBf4OCIeEV+/s2a4jMzs3VYNz2pM4CbgV0i4oMRcTNARCwg9a5akjRB0l2S5kqa0ke53SU9I+mwLmIyM7O12PpdlD0AeDIingGQtB6wUUQ8ERHntVpA0jDgTGA/oBeYJWlGRNzeotzpwFWr8B7MzGwt1U1P6hfAxpXXm+RpfRkPzI2IeRGxFJgOTGxR7kPAxcADXcRjZmZruW6S1EYRsaTxIj/fpJ9lRgD3Vl735mnPkTQCOBSY2ldFkk6QNFvS7IULF3YRtpmZDVXdJKnHJe3WeCHp1cCT/SyjFtOi6fW3gFMaw4jtRMRZETEuIsb19PR0FLCZmQ1t3ZyTOgn4saQF+fVLgXf0s0wv6f+qGkYCC5rKjAOmSwIYDhwgaVlEXNZFbGZmthbqOElFxCxJLwd2IPWQ7oyIp/tZbBYwVtI2wH3AJODIpnq3aTyXdA5wuROUmZlBdz0pgN2BMXm5V0kiIs5tVzgilkk6kXTV3jBgWkTMkTQ5z+/zPJSZma3bOk5Sks4DXgbcAjTOHwXQNkkBRMRMYGbTtJbJKSKO6zQeMzNb+3XTkxoH7BgRzRc+mJmZ1aKbq/v+CGxZVyBmZmbNuulJDQdul3Qj8FRjYkQcMuBRmZmZ0V2S+nxdQZiZmbXSzSXo10naGhgbEb+QtAnpij0zM7NadPNTHe8FfgJ8P08aAfj/mczMrDbdXDjxQWBP4FF47gcQX1xHUGZmZtBdknoq38kcAEnrs/J9+MzMzAZMN0nqOkmfAjaWtB/wY+Bn9YRlZmbWXZKaAiwE/gC8j3QXiba/yGtmZra6urm671ngv/LDzMysdt3cu+8vtDgHFRHbDmhEZmZmWbf37mvYCHg78MKBDcfMzGy5js9JRcSiyuO+iPgWsG+NsZmZ2Tqum+G+3Sov1yP1rDYb8IjMzMyybob7vl55vgyYDxw+oNGYmZlVdHN13z51BmK2thgz5YpBWe/80w4clPWa1amb4b6P9TU/Ir6x+uGYmZkt1+3VfbsDM/Lrg4HrgXsHOigzMzPo/kcPd4uIxwAkfR74cUS8p47AzMzMurkt0mhgaeX1UmDMgEZjZmZW0U1P6jzgRkmXku48cShwbi1RmZmZ0d0/834ZOB54GFgMHB8RX+lvOUkTJN0laa6kKS3mT5R0m6RbJM2W9Lpu3oCZma29uhnuA9gEeDQi/hPolbRNX4UlDQPOBPYHdgSOkLRjU7H/B+wSEbsC7wLO7jImMzNbS3Xz8/GfA04BPpknbQCc389i44G5ETEv/2DidGBitUBELImIxo1rn4d/SNHMzLJuelKHAocAjwNExAL6vy3SCFa8RL03T1uBpEMl3QlcQepNrUTSCXk4cPbChQu7CNvMzIaqbpLU0tzjCQBJz+tgGbWY1urnPi6NiJcDbwG+1KqiiDgrIsZFxLienp4uwjYzs6Gqm6v7LpL0fWALSe8l9Xj6+wHEXmBU5fVIYEG7whFxvaSXSRoeEQ92EduQ0Hy7nOnzFgEwaZBuo2NmVrqOkpQkAT8CXg48CuwAnBoR1/Sz6CxgbL7A4j5gEnBkU93bAX+OiMh3Wt8QWNTVuzAzs7VSR0kqJ5DLIuLVQH+JqbrcMkknAlcBw4BpETFH0uQ8fyrwNuAYSU8DTwLvqFxIYWZm67Buhvt+J2n3iJjVzQoiYiYws2na1Mrz04HTu6nTzMzWDd0kqX2AyZLmk67wE6mTtXMdgZmZmfWbpCSNjoi/kv4h18zMbI3ppCd1Genu5/dIujgi3lZ3UGZmZtDZ/0lV/9dp27oCMTMza9ZJkoo2z83MzGrVyXDfLpIeJfWoNs7PYfmFE5vXFp2Zma3T+k1SETFsTQRiZmbWrNuf6jAzM1tjnKTMzKxYTlJmZlYsJykzMyuWk5SZmRXLScrMzIrlJGVmZsVykjIzs2I5SZmZWbGcpMzMrFhOUmZmViwnKTMzK5aTlJmZFctJyszMiuUkZWZmxao9SUmaIOkuSXMlTWkx/yhJt+XHDZJ2qTsmMzMbGmpNUpKGAWcC+wM7AkdI2rGp2F+AvSJiZ+BLwFl1xmRmZkNH3T2p8cDciJgXEUuB6cDEaoGIuCEiHs4vfweMrDkmMzMbIupOUiOAeyuve/O0dt4NXNlqhqQTJM2WNHvhwoUDGKKZmZWq7iSlFtOiZUFpH1KSOqXV/Ig4KyLGRcS4np6eAQzRzMxKtX7N9fcCoyqvRwILmgtJ2hk4G9g/IhbVHJOZmQ0RdfekZgFjJW0jaUNgEjCjWkDSaOAS4OiIuLvmeMzMbAiptScVEcsknQhcBQwDpkXEHEmT8/ypwKnAi4DvSgJYFhHj6ozLzMyGhrqH+4iImcDMpmlTK8/fA7yn7jjMzGzo8R0nzMysWE5SZmZWLCcpMzMrlpOUmZkVq/YLJ8xszRgz5YpBW/f80w4ctHXb2s09KTMzK5aTlJmZFctJyszMiuUkZWZmxXKSMjOzYjlJmZlZsZykzMysWE5SZmZWLCcpMzMrlpOUmZkVy0nKzMyK5SRlZmbFcpIyM7NiOUmZmVmxnKTMzKxYTlJmZlYsJykzMytW7UlK0gRJd0maK2lKi/kvl/RbSU9J+njd8ZiZ2dBR68/HSxoGnAnsB/QCsyTNiIjbK8UeAj4MvKXOWMzMbOipuyc1HpgbEfMiYikwHZhYLRARD0TELODpmmMxM7MhptaeFDACuLfyuhfYY1UqknQCcALA6NGjVz8yMxswY6ZcUUu90+ctAmBSm/rnn3ZgLeu1ctTdk1KLabEqFUXEWRExLiLG9fT0rGZYZmY2FNSdpHqBUZXXI4EFNa/TzMzWEnUnqVnAWEnbSNoQmATMqHmdZma2lqj1nFRELJN0InAVMAyYFhFzJE3O86dK2hKYDWwOPCvpJGDHiHi0ztjMzKx8dV84QUTMBGY2TZtaeX4/aRjQzMxsBb7jhJmZFctJyszMiuUkZWZmxXKSMjOzYjlJmZlZsZykzMysWE5SZmZWLCcpMzMrlpOUmZkVy0nKzMyK5SRlZmbFqv3efWZmdanrxxb74x9bXHPWySQ1WBu2mZl1x8N9ZmZWLCcpMzMrlpOUmZkVy0nKzMyK5SRlZmbFcpIyM7NiOUmZmVmxnKTMzKxY6+Q/85qZrY7BvCHAuna3i9p7UpImSLpL0lxJU1rMl6Rv5/m3Sdqt7pjMzGxoqDVJSRoGnAnsD+wIHCFpx6Zi+wNj8+ME4Ht1xmRmZkNH3T2p8cDciJgXEUuB6cDEpjITgXMj+R2whaSX1hyXmZkNAXWfkxoB3Ft53Qvs0UGZEcDfqoUknUDqaQEskXRXB+sfDjzYTcBr0msbT04/qPGs6HhbcLz1WufjbfEdGUhDsn11+mrVsfXAhLLm1J2k1GJarEIZIuIs4KyuVi7Njohx3SwzmBxvvRxvvRxvvYZavAOl7uG+XmBU5fVIYMEqlDEzs3VQ3UlqFjBW0jaSNgQmATOayswAjslX+b0GeCQi/tZckZmZrXtqHe6LiGWSTgSuAoYB0yJijqTJef5UYCZwADAXeAI4fgBD6Gp4sACOt16Ot16Ot15DLd4BoYiVTv+YmZkVwbdFMjOzYjlJmZlZsYZ8kpI0TdIDkv7YZv7ekh6RdEt+nLqmY2yKZ5Sk/5F0h6Q5kj7Sokwxt4rqMN5i2ljSRpJulHRrjvcLLcqU1L6dxFtM++Z4hkn6X0mXt5hXTNtWYuor3tLadr6kP+RYZreYX1z71m1tuMHsOcAZwLl9lPlVRNTy34CrYBlwckTcLGkz4CZJ10TE7ZUy1VtF7UG6VVTzP0GvKZ3EC+W08VPAvhGxRNIGwK8lXZnvZtJQUvt2Ei+U074AHwHuADZvMa+ktm3oK14oq20B9omIdv9kXGL71mrI96Qi4nrgocGOo1MR8beIuDk/f4z05RnRVKyYW0V1GG8xcpstyS83yI/mq4NKat9O4i2GpJHAgcDZbYoU07bQUbxDTVHtuyYM+STVodfm4ZQrJe002ME0SBoDvAr4fdOsdreKGlR9xAsFtXEe3rkFeAC4JiKKbt8O4oVy2vdbwCeAZ9vML6pt6T9eKKdtIR2gXC3pJqVbwTUrrX1rty4kqZuBrSNiF+A7wGWDHA8AkjYFLgZOiohHm2e3WGRQj677ibeoNo6IZyJiV9LdS8ZLemVTkaLat4N4i2hfSQcBD0TETX0VazFtUNq2w3iLaNuKPSNiN9Kw3gclvb5pfjHtu6as9UkqIh5tDKdExExgA0nDBzOmfO7hYuCHEXFJiyJF3Sqqv3hLbOMcy2LgWla3i3wAAAE9SURBVGBC06yi2rehXbwFte+ewCGS5pN+0WBfSec3lSmpbfuNt6C2bcSzIP99ALiU9EsSVSW17xqx1icpSVtKUn4+nvSeFw1iPAJ+ANwREd9oU6yYW0V1Em9JbSypR9IW+fnGwBuBO5uKldS+/cZbSvtGxCcjYmREjCHd4uyXEfHOpmLFtG0n8ZbStnn9z8sXJyHpecCbgOarlotp3zVlyF/dJ+lCYG9guKRe4HOkk8+N2y4dBrxf0jLgSWBSDO5tNvYEjgb+kM9DAHwKGA1r5FZR3eok3pLa+KXAfyv94OZ6wEURcbnW3K24utVJvCW170oKbtuWCm7blwCX5py5PnBBRPx8qLXvQPNtkczMrFhr/XCfmZkNXU5SZmZWLCcpMzMrlpOUmZkVy0nKzMyK5SRlZmbFcpIyM7Ni/X9BKRA6Rgfb7AAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot probability distribution and confidence intervals\n",
+    "dist_plot = MC_fiveyear.plot_distribution()\n",
+    "\n",
+    "# Save the plot for future usage\n",
+    "dist_plot.get_figure().savefig('MonteCarlo_5yrs_distribution2.png',bbox_inches='tight')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "count           500.000000\n",
+      "mean              2.895847\n",
+      "std               0.589691\n",
+      "min               1.559500\n",
+      "25%               2.454324\n",
+      "50%               2.821701\n",
+      "75%               3.213398\n",
+      "max               5.025064\n",
+      "95% CI Lower      1.962128\n",
+      "95% CI Upper      4.251050\n",
+      "Name: 1260, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Fetch summary statistics from the Monte Carlo simulation results\n",
+    "summary = MC_fiveyear.summarize_cumulative_return()\n",
+    "\n",
+    "# Print summary statistics\n",
+    "print(summary)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "There is a 95% chance that an initial investment of $10,000 in the portfolio over the next 5 years will end within in the range of $19621.28 and $42510.5\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Use the lower and upper `95%` confidence intervals to calculate the range of the possible outcomes of our $10,000 investments in Coca-Cola and Microsoft stocks\n",
+    "ci_lower = round(summary[8]*10000,2)\n",
+    "ci_upper = round(summary[9]*10000,2)\n",
+    "\n",
+    "# Print results\n",
+    "print(f\"There is a 95% chance that an initial investment of $10,000 in the portfolio\"\n",
+    "      f\" over the next 5 years will end within in the range of\"\n",
+    "      f\" ${ci_lower} and ${ci_upper}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## MC Simulation for SP500"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set timeframe to '1D'\n",
+    "timeframe = \"1D\"\n",
+    "\n",
+    "# Set start and end datetimes between now and 3 years ago.\n",
+    "start_date = pd.Timestamp(\"2015-11-19\", tz=\"America/New_York\").isoformat()\n",
+    "end_date = pd.Timestamp(\"2020-10-01\", tz=\"America/New_York\").isoformat()\n",
+    "\n",
+    "# Set the ticker information\n",
+    "tickers_1 = ['SPY']\n",
+    "\n",
+    "# Get 5 years of past data of portfolios\n",
+    "df_ticker_1 = api.get_barset(\n",
+    "    tickers_1,\n",
+    "    timeframe,\n",
+    "    start=start_date,\n",
+    "    end=end_date\n",
+    ").df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Configuring a Monte Carlo simulation to forecast five years cumulative returns\n",
+    "MC_fiveyear_SP500 = MCSimulation(\n",
+    "    portfolio_data = df_ticker_1,\n",
+    "    weights = [1],\n",
+    "    num_simulation = 500,\n",
+    "    num_trading_days = 252*5\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running Monte Carlo simulation number 0.\n",
+      "Running Monte Carlo simulation number 10.\n",
+      "Running Monte Carlo simulation number 20.\n",
+      "Running Monte Carlo simulation number 30.\n",
+      "Running Monte Carlo simulation number 40.\n",
+      "Running Monte Carlo simulation number 50.\n",
+      "Running Monte Carlo simulation number 60.\n",
+      "Running Monte Carlo simulation number 70.\n",
+      "Running Monte Carlo simulation number 80.\n",
+      "Running Monte Carlo simulation number 90.\n",
+      "Running Monte Carlo simulation number 100.\n",
+      "Running Monte Carlo simulation number 110.\n",
+      "Running Monte Carlo simulation number 120.\n",
+      "Running Monte Carlo simulation number 130.\n",
+      "Running Monte Carlo simulation number 140.\n",
+      "Running Monte Carlo simulation number 150.\n",
+      "Running Monte Carlo simulation number 160.\n",
+      "Running Monte Carlo simulation number 170.\n",
+      "Running Monte Carlo simulation number 180.\n",
+      "Running Monte Carlo simulation number 190.\n",
+      "Running Monte Carlo simulation number 200.\n",
+      "Running Monte Carlo simulation number 210.\n",
+      "Running Monte Carlo simulation number 220.\n",
+      "Running Monte Carlo simulation number 230.\n",
+      "Running Monte Carlo simulation number 240.\n",
+      "Running Monte Carlo simulation number 250.\n",
+      "Running Monte Carlo simulation number 260.\n",
+      "Running Monte Carlo simulation number 270.\n",
+      "Running Monte Carlo simulation number 280.\n",
+      "Running Monte Carlo simulation number 290.\n",
+      "Running Monte Carlo simulation number 300.\n",
+      "Running Monte Carlo simulation number 310.\n",
+      "Running Monte Carlo simulation number 320.\n",
+      "Running Monte Carlo simulation number 330.\n",
+      "Running Monte Carlo simulation number 340.\n",
+      "Running Monte Carlo simulation number 350.\n",
+      "Running Monte Carlo simulation number 360.\n",
+      "Running Monte Carlo simulation number 370.\n",
+      "Running Monte Carlo simulation number 380.\n",
+      "Running Monte Carlo simulation number 390.\n",
+      "Running Monte Carlo simulation number 400.\n",
+      "Running Monte Carlo simulation number 410.\n",
+      "Running Monte Carlo simulation number 420.\n",
+      "Running Monte Carlo simulation number 430.\n",
+      "Running Monte Carlo simulation number 440.\n",
+      "Running Monte Carlo simulation number 450.\n",
+      "Running Monte Carlo simulation number 460.\n",
+      "Running Monte Carlo simulation number 470.\n",
+      "Running Monte Carlo simulation number 480.\n",
+      "Running Monte Carlo simulation number 490.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "<style scoped>\n",
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
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+       "      <th>4</th>\n",
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+       "      <th>490</th>\n",
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+       "      <th>495</th>\n",
+       "      <th>496</th>\n",
+       "      <th>497</th>\n",
+       "      <th>498</th>\n",
+       "      <th>499</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.000000</td>\n",
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+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
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+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.025240</td>\n",
+       "      <td>0.994252</td>\n",
+       "      <td>1.007339</td>\n",
+       "      <td>1.003842</td>\n",
+       "      <td>1.004661</td>\n",
+       "      <td>1.008039</td>\n",
+       "      <td>1.036028</td>\n",
+       "      <td>1.013963</td>\n",
+       "      <td>1.002222</td>\n",
+       "      <td>0.996770</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.995528</td>\n",
+       "      <td>1.005848</td>\n",
+       "      <td>0.985447</td>\n",
+       "      <td>0.997863</td>\n",
+       "      <td>0.981917</td>\n",
+       "      <td>1.013414</td>\n",
+       "      <td>0.982056</td>\n",
+       "      <td>1.005776</td>\n",
+       "      <td>1.002863</td>\n",
+       "      <td>0.990597</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.024945</td>\n",
+       "      <td>0.984344</td>\n",
+       "      <td>1.010838</td>\n",
+       "      <td>0.995444</td>\n",
+       "      <td>0.995019</td>\n",
+       "      <td>1.016381</td>\n",
+       "      <td>1.035466</td>\n",
+       "      <td>1.010888</td>\n",
+       "      <td>0.992452</td>\n",
+       "      <td>1.008830</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.986330</td>\n",
+       "      <td>1.007578</td>\n",
+       "      <td>0.980687</td>\n",
+       "      <td>0.998295</td>\n",
+       "      <td>0.990599</td>\n",
+       "      <td>1.013282</td>\n",
+       "      <td>0.973854</td>\n",
+       "      <td>1.001831</td>\n",
+       "      <td>1.001632</td>\n",
+       "      <td>0.982155</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.027859</td>\n",
+       "      <td>0.980948</td>\n",
+       "      <td>1.039085</td>\n",
+       "      <td>0.996435</td>\n",
+       "      <td>0.955176</td>\n",
+       "      <td>0.994890</td>\n",
+       "      <td>1.044883</td>\n",
+       "      <td>1.030342</td>\n",
+       "      <td>0.972230</td>\n",
+       "      <td>1.028340</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.993112</td>\n",
+       "      <td>1.019181</td>\n",
+       "      <td>0.959235</td>\n",
+       "      <td>0.982823</td>\n",
+       "      <td>0.992815</td>\n",
+       "      <td>1.007659</td>\n",
+       "      <td>0.991818</td>\n",
+       "      <td>0.986791</td>\n",
+       "      <td>1.005348</td>\n",
+       "      <td>0.989735</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.021238</td>\n",
+       "      <td>0.966043</td>\n",
+       "      <td>1.033850</td>\n",
+       "      <td>0.998911</td>\n",
+       "      <td>0.959645</td>\n",
+       "      <td>1.000255</td>\n",
+       "      <td>1.039067</td>\n",
+       "      <td>1.029801</td>\n",
+       "      <td>0.976492</td>\n",
+       "      <td>1.034202</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.957550</td>\n",
+       "      <td>0.984955</td>\n",
+       "      <td>0.993781</td>\n",
+       "      <td>0.995342</td>\n",
+       "      <td>1.013567</td>\n",
+       "      <td>1.005497</td>\n",
+       "      <td>0.963260</td>\n",
+       "      <td>0.986859</td>\n",
+       "      <td>1.006260</td>\n",
+       "      <td>0.985543</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1256</th>\n",
+       "      <td>1.136824</td>\n",
+       "      <td>1.059739</td>\n",
+       "      <td>2.862749</td>\n",
+       "      <td>1.536394</td>\n",
+       "      <td>1.194695</td>\n",
+       "      <td>2.131216</td>\n",
+       "      <td>1.302284</td>\n",
+       "      <td>2.044508</td>\n",
+       "      <td>1.669651</td>\n",
+       "      <td>2.288847</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.746951</td>\n",
+       "      <td>2.354714</td>\n",
+       "      <td>1.347568</td>\n",
+       "      <td>2.210135</td>\n",
+       "      <td>1.177048</td>\n",
+       "      <td>1.150474</td>\n",
+       "      <td>1.136106</td>\n",
+       "      <td>2.906233</td>\n",
+       "      <td>2.233422</td>\n",
+       "      <td>2.000418</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1257</th>\n",
+       "      <td>1.129375</td>\n",
+       "      <td>1.059733</td>\n",
+       "      <td>2.876605</td>\n",
+       "      <td>1.540728</td>\n",
+       "      <td>1.223460</td>\n",
+       "      <td>2.169137</td>\n",
+       "      <td>1.282259</td>\n",
+       "      <td>2.036708</td>\n",
+       "      <td>1.662069</td>\n",
+       "      <td>2.253778</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.817576</td>\n",
+       "      <td>2.356364</td>\n",
+       "      <td>1.360087</td>\n",
+       "      <td>2.222015</td>\n",
+       "      <td>1.183206</td>\n",
+       "      <td>1.164707</td>\n",
+       "      <td>1.160896</td>\n",
+       "      <td>2.934053</td>\n",
+       "      <td>2.262686</td>\n",
+       "      <td>1.966814</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1258</th>\n",
+       "      <td>1.133101</td>\n",
+       "      <td>1.057730</td>\n",
+       "      <td>2.977346</td>\n",
+       "      <td>1.569488</td>\n",
+       "      <td>1.232280</td>\n",
+       "      <td>2.185914</td>\n",
+       "      <td>1.285174</td>\n",
+       "      <td>2.009118</td>\n",
+       "      <td>1.643810</td>\n",
+       "      <td>2.267049</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.809375</td>\n",
+       "      <td>2.398208</td>\n",
+       "      <td>1.369752</td>\n",
+       "      <td>2.212873</td>\n",
+       "      <td>1.167419</td>\n",
+       "      <td>1.177250</td>\n",
+       "      <td>1.153452</td>\n",
+       "      <td>2.930655</td>\n",
+       "      <td>2.268406</td>\n",
+       "      <td>1.995717</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1259</th>\n",
+       "      <td>1.146316</td>\n",
+       "      <td>1.068511</td>\n",
+       "      <td>3.005279</td>\n",
+       "      <td>1.582927</td>\n",
+       "      <td>1.218385</td>\n",
+       "      <td>2.168386</td>\n",
+       "      <td>1.297530</td>\n",
+       "      <td>1.999931</td>\n",
+       "      <td>1.633240</td>\n",
+       "      <td>2.254467</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.859423</td>\n",
+       "      <td>2.401145</td>\n",
+       "      <td>1.371379</td>\n",
+       "      <td>2.225695</td>\n",
+       "      <td>1.164316</td>\n",
+       "      <td>1.166739</td>\n",
+       "      <td>1.155447</td>\n",
+       "      <td>2.871105</td>\n",
+       "      <td>2.266229</td>\n",
+       "      <td>2.023097</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1260</th>\n",
+       "      <td>1.146136</td>\n",
+       "      <td>1.043808</td>\n",
+       "      <td>2.986872</td>\n",
+       "      <td>1.567583</td>\n",
+       "      <td>1.240238</td>\n",
+       "      <td>2.224919</td>\n",
+       "      <td>1.278256</td>\n",
+       "      <td>2.014983</td>\n",
+       "      <td>1.626408</td>\n",
+       "      <td>2.287521</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.839978</td>\n",
+       "      <td>2.408209</td>\n",
+       "      <td>1.389274</td>\n",
+       "      <td>2.246986</td>\n",
+       "      <td>1.185865</td>\n",
+       "      <td>1.172749</td>\n",
+       "      <td>1.171990</td>\n",
+       "      <td>2.920379</td>\n",
+       "      <td>2.284771</td>\n",
+       "      <td>2.038920</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1261 rows × 500 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           0         1         2         3         4         5         6    \\\n",
+       "0     1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000   \n",
+       "1     1.025240  0.994252  1.007339  1.003842  1.004661  1.008039  1.036028   \n",
+       "2     1.024945  0.984344  1.010838  0.995444  0.995019  1.016381  1.035466   \n",
+       "3     1.027859  0.980948  1.039085  0.996435  0.955176  0.994890  1.044883   \n",
+       "4     1.021238  0.966043  1.033850  0.998911  0.959645  1.000255  1.039067   \n",
+       "...        ...       ...       ...       ...       ...       ...       ...   \n",
+       "1256  1.136824  1.059739  2.862749  1.536394  1.194695  2.131216  1.302284   \n",
+       "1257  1.129375  1.059733  2.876605  1.540728  1.223460  2.169137  1.282259   \n",
+       "1258  1.133101  1.057730  2.977346  1.569488  1.232280  2.185914  1.285174   \n",
+       "1259  1.146316  1.068511  3.005279  1.582927  1.218385  2.168386  1.297530   \n",
+       "1260  1.146136  1.043808  2.986872  1.567583  1.240238  2.224919  1.278256   \n",
+       "\n",
+       "           7         8         9    ...       490       491       492  \\\n",
+       "0     1.000000  1.000000  1.000000  ...  1.000000  1.000000  1.000000   \n",
+       "1     1.013963  1.002222  0.996770  ...  0.995528  1.005848  0.985447   \n",
+       "2     1.010888  0.992452  1.008830  ...  0.986330  1.007578  0.980687   \n",
+       "3     1.030342  0.972230  1.028340  ...  0.993112  1.019181  0.959235   \n",
+       "4     1.029801  0.976492  1.034202  ...  0.957550  0.984955  0.993781   \n",
+       "...        ...       ...       ...  ...       ...       ...       ...   \n",
+       "1256  2.044508  1.669651  2.288847  ...  2.746951  2.354714  1.347568   \n",
+       "1257  2.036708  1.662069  2.253778  ...  2.817576  2.356364  1.360087   \n",
+       "1258  2.009118  1.643810  2.267049  ...  2.809375  2.398208  1.369752   \n",
+       "1259  1.999931  1.633240  2.254467  ...  2.859423  2.401145  1.371379   \n",
+       "1260  2.014983  1.626408  2.287521  ...  2.839978  2.408209  1.389274   \n",
+       "\n",
+       "           493       494       495       496       497       498       499  \n",
+       "0     1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  \n",
+       "1     0.997863  0.981917  1.013414  0.982056  1.005776  1.002863  0.990597  \n",
+       "2     0.998295  0.990599  1.013282  0.973854  1.001831  1.001632  0.982155  \n",
+       "3     0.982823  0.992815  1.007659  0.991818  0.986791  1.005348  0.989735  \n",
+       "4     0.995342  1.013567  1.005497  0.963260  0.986859  1.006260  0.985543  \n",
+       "...        ...       ...       ...       ...       ...       ...       ...  \n",
+       "1256  2.210135  1.177048  1.150474  1.136106  2.906233  2.233422  2.000418  \n",
+       "1257  2.222015  1.183206  1.164707  1.160896  2.934053  2.262686  1.966814  \n",
+       "1258  2.212873  1.167419  1.177250  1.153452  2.930655  2.268406  1.995717  \n",
+       "1259  2.225695  1.164316  1.166739  1.155447  2.871105  2.266229  2.023097  \n",
+       "1260  2.246986  1.185865  1.172749  1.171990  2.920379  2.284771  2.038920  \n",
+       "\n",
+       "[1261 rows x 500 columns]"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "MC_fiveyear_SP500.calc_cumulative_return()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "line_plot = MC_fiveyear_SP500.plot_simulation()\n",
+    "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_SPY_simulation.png\", bbox_inches=\"tight\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "dist_plot = MC_fiveyear_SP500.plot_distribution()\n",
+    "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_SPY_dist.png\", bbox_inches=\"tight\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "count           500.000000\n",
+      "mean              2.895847\n",
+      "std               0.589691\n",
+      "min               1.559500\n",
+      "25%               2.454324\n",
+      "50%               2.821701\n",
+      "75%               3.213398\n",
+      "max               5.025064\n",
+      "95% CI Lower      1.962128\n",
+      "95% CI Upper      4.251050\n",
+      "Name: 1260, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Fetch summary statistics from the Monte Carlo simulation results\n",
+    "summary = MC_fiveyear.summarize_cumulative_return()\n",
+    "\n",
+    "# Print summary statistics\n",
+    "print(summary)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "There is a 95% chance that an initial investment of $10,000 in the portfolio over the next 5 years will end within in the range of $19621.28 and $42510.5\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Use the lower and upper `95%` confidence intervals to calculate the range of the possible outcomes of our $10,000 investments in Coca-Cola and Microsoft stocks\n",
+    "ci_lower = round(summary[8]*10000,2)\n",
+    "ci_upper = round(summary[9]*10000,2)\n",
+    "\n",
+    "# Print results\n",
+    "print(f\"There is a 95% chance that an initial investment of $10,000 in the portfolio\"\n",
+    "      f\" over the next 5 years will end within in the range of\"\n",
+    "      f\" ${ci_lower} and ${ci_upper}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create Plots\n",
+    "def get_daily_sp500_plot():\n",
+    "    SP500_daily_returns_1= SP500_daily_returns.plot(title='S&P 500 Daily Returns', figsize=(20,10))\n",
+    "    return SP500_daily_returns_1\n",
+    "\n",
+    "def get_daily_core_plot():\n",
+    "    core_portfolio_returns_1= core_portfolio_returns.plot(title='Portfolio Daily Returns', figsize=(20,10))\n",
+    "    return core_portfolio_returns_1\n",
+    "\n",
+    "def get_cumulative_sp500_plot():\n",
+    "    sp500_cumulative_returns_1= Sp500_cumulative_returns.plot(title='S&P 500 Cumulative Returns', figsize=(20,10))\n",
+    "    return sp500_cumulative_returns_1\n",
+    "\n",
+    "def get_cumulative_portfolio_plot():\n",
+    "    core_cumulative_returns_1= core_cumulative_returns.plot(title='Portfolio Cumulative Returns', figsize=(20,10))\n",
+    "    return core_cumulative_returns\n",
+    "\n",
+    "def get_cumulative_joint_plot():\n",
+    "    portfolio_5yrs_2= portfolio_5yrs_1.plot(title='Securities Cumulative Returns', figsize=(20,10))\n",
+    "    return portfolio_5yrs_2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'SP500_daily_returns' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[1;32m<ipython-input-6-c6160f0e6dfe>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m# Create panels to structure the layout of the dashboard\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mdaily_column\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mColumn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Daily Returns\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mget_daily_sp500_plot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mget_daily_core_plot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m cumulative_column = pn.Column(\n",
+      "\u001b[1;32m<ipython-input-5-a079096b6f03>\u001b[0m in \u001b[0;36mget_daily_sp500_plot\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m# Create Plots\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mget_daily_sp500_plot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m     \u001b[0mSP500_daily_returns_1\u001b[0m\u001b[1;33m=\u001b[0m \u001b[0mSP500_daily_returns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtitle\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'S&P 500 Daily Returns'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfigsize\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m20\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mSP500_daily_returns_1\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'SP500_daily_returns' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "# Create panels to structure the layout of the dashboard\n",
+    "daily_column = pn.Column(\"Daily Returns\", get_daily_sp500_plot(), get_daily_core_plot())\n",
+    "\n",
+    "\n",
+    "cumulative_column = pn.Column(\n",
+    "    \"Cumulative Returns\", get_cumulative_sp500_plot(),)\n",
+    "\n",
+    "joint_column = pn.Column(\n",
+    "    \"Joint Returns\", get_cumulative_joint_plot())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Final_project_notebook/Final_Notebook.ipynb b/Final_project_notebook/Final_Notebook.ipynb
new file mode 100644
index 0000000..9278221
--- /dev/null
+++ b/Final_project_notebook/Final_Notebook.ipynb
@@ -0,0 +1,10124 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import necessary libraries and dependencies\n",
+    "\n",
+    "import os\n",
+    "import pandas as pd\n",
+    "from pathlib import Path\n",
+    "import seaborn as sns\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import alpaca_trade_api as tradeapi\n",
+    "from MCForecastTools import MCSimulation\n",
+    "\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Clean The Data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Set the file paths for the CSVs\n",
+    "\n",
+    "eve_data = Path(\"../CSVs/ORCL-SQ-NVDA.csv\")\n",
+    "\n",
+    "eren_data = Path(\"../CSVs/BABA-PFE-NFLX-CRM-GD.csv\")\n",
+    "\n",
+    "phil_data = Path(\"../CSVs/Phil_Stocks.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Read the data\n",
+    "\n",
+    "eve_df = pd.read_csv(eve_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n",
+    "\n",
+    "eren_df = pd.read_csv(eren_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n",
+    "\n",
+    "phil_df = pd.read_csv(phil_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>WMT</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>89.74</td>\n",
+       "      <td>117.81</td>\n",
+       "      <td>92.07</td>\n",
+       "      <td>45.57</td>\n",
+       "      <td>64.98</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>63.930000</td>\n",
+       "      <td>27.822315</td>\n",
+       "      <td>111.250000</td>\n",
+       "      <td>75.269997</td>\n",
+       "      <td>129.018661</td>\n",
+       "      <td>93.46</td>\n",
+       "      <td>119.20</td>\n",
+       "      <td>94.01</td>\n",
+       "      <td>46.63</td>\n",
+       "      <td>65.87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>63.919998</td>\n",
+       "      <td>27.248917</td>\n",
+       "      <td>108.330002</td>\n",
+       "      <td>74.419998</td>\n",
+       "      <td>125.921211</td>\n",
+       "      <td>93.37</td>\n",
+       "      <td>118.68</td>\n",
+       "      <td>92.80</td>\n",
+       "      <td>46.75</td>\n",
+       "      <td>65.68</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>66.279999</td>\n",
+       "      <td>27.664425</td>\n",
+       "      <td>108.099998</td>\n",
+       "      <td>75.000000</td>\n",
+       "      <td>126.272095</td>\n",
+       "      <td>94.24</td>\n",
+       "      <td>119.65</td>\n",
+       "      <td>92.40</td>\n",
+       "      <td>46.80</td>\n",
+       "      <td>66.36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-08</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>67.699997</td>\n",
+       "      <td>27.498219</td>\n",
+       "      <td>114.930000</td>\n",
+       "      <td>75.089996</td>\n",
+       "      <td>127.666481</td>\n",
+       "      <td>95.57</td>\n",
+       "      <td>121.06</td>\n",
+       "      <td>92.47</td>\n",
+       "      <td>47.45</td>\n",
+       "      <td>66.88</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            ORCL  SQ  NVDA       BABA        PFE        NFLX        CRM  \\\n",
+       "Date                                                                      \n",
+       "2015-10-02   NaN NaN   NaN        NaN        NaN         NaN        NaN   \n",
+       "2015-10-05   NaN NaN   NaN  63.930000  27.822315  111.250000  75.269997   \n",
+       "2015-10-06   NaN NaN   NaN  63.919998  27.248917  108.330002  74.419998   \n",
+       "2015-10-07   NaN NaN   NaN  66.279999  27.664425  108.099998  75.000000   \n",
+       "2015-10-08   NaN NaN   NaN  67.699997  27.498219  114.930000  75.089996   \n",
+       "\n",
+       "                    GD    AMT      HD     FB   MSFT    WMT  \n",
+       "Date                                                        \n",
+       "2015-10-02         NaN  89.74  117.81  92.07  45.57  64.98  \n",
+       "2015-10-05  129.018661  93.46  119.20  94.01  46.63  65.87  \n",
+       "2015-10-06  125.921211  93.37  118.68  92.80  46.75  65.68  \n",
+       "2015-10-07  126.272095  94.24  119.65  92.40  46.80  66.36  \n",
+       "2015-10-08  127.666481  95.57  121.06  92.47  47.45  66.88  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Concat the df's based on what we currently have and we will add Felipe's later\n",
+    "\n",
+    "combined = pd.concat([eve_df, eren_df, phil_df], axis='columns', join='outer')\n",
+    "\n",
+    "combined.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>WMT</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.07</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>126.86</td>\n",
+       "      <td>106.26</td>\n",
+       "      <td>53.94</td>\n",
+       "      <td>60.70</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.85</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>130.21</td>\n",
+       "      <td>107.32</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>60.07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.12</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>132.50</td>\n",
+       "      <td>106.95</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>60.26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.02</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>133.60</td>\n",
+       "      <td>105.74</td>\n",
+       "      <td>54.25</td>\n",
+       "      <td>59.92</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.90</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>134.65</td>\n",
+       "      <td>105.41</td>\n",
+       "      <td>53.69</td>\n",
+       "      <td>60.24</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 ORCL     SQ       NVDA       BABA        PFE        NFLX  \\\n",
+       "Date                                                                        \n",
+       "2015-11-19  36.108597  13.07  30.458263  77.870003  27.049994  120.220001   \n",
+       "2015-11-20  36.404728  12.85  30.722525  79.949997  26.957846  123.839996   \n",
+       "2015-11-23  36.219639  12.12  30.262524  81.309998  26.245783  125.029999   \n",
+       "2015-11-24  36.515770  12.02  30.507206  80.860001  26.781923  123.309998   \n",
+       "2015-11-25  36.330700  11.90  30.468054  81.709999  27.535873  124.160004   \n",
+       "\n",
+       "                  CRM          GD     AMT      HD      FB   MSFT    WMT  \n",
+       "Date                                                                     \n",
+       "2015-11-19  80.639999  130.626297   99.63  126.86  106.26  53.94  60.70  \n",
+       "2015-11-20  80.989998  130.896194  100.49  130.21  107.32  54.19  60.07  \n",
+       "2015-11-23  80.779999  130.077530   99.94  132.50  106.95  54.19  60.26  \n",
+       "2015-11-24  80.389999  130.923172   99.26  133.60  105.74  54.25  59.92  \n",
+       "2015-11-25  80.410004  130.608292   99.09  134.65  105.41  53.69  60.24  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Dropping NAN's\n",
+    "combined_2 = combined.dropna()\n",
+    "\n",
+    "combined_2.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Creating the file path and reading in Felipe's stock picks\n",
+    "\n",
+    "felipe_data = Path(\"../CSVs/Felipe_Stocks_Final.csv\")\n",
+    "\n",
+    "felipe_df = pd.read_csv(felipe_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Cleaning Felipe's data\n",
+    "felipe_df.dropna(inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>VZ</th>\n",
+       "      <th>MCD</th>\n",
+       "      <th>Close</th>\n",
+       "      <th>CLX</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-01</th>\n",
+       "      <td>42.96</td>\n",
+       "      <td>116.07</td>\n",
+       "      <td>57.48</td>\n",
+       "      <td>115.38</td>\n",
+       "      <td>144.56</td>\n",
+       "      <td>77.93</td>\n",
+       "      <td>295.92</td>\n",
+       "      <td>68.59</td>\n",
+       "      <td>93.17</td>\n",
+       "      <td>116.61</td>\n",
+       "      <td>140.80</td>\n",
+       "      <td>98.58</td>\n",
+       "      <td>98.44</td>\n",
+       "      <td>90.13</td>\n",
+       "      <td>88.38</td>\n",
+       "      <td>96.55</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>42.84</td>\n",
+       "      <td>114.76</td>\n",
+       "      <td>58.08</td>\n",
+       "      <td>116.93</td>\n",
+       "      <td>145.86</td>\n",
+       "      <td>79.48</td>\n",
+       "      <td>303.36</td>\n",
+       "      <td>68.74</td>\n",
+       "      <td>93.93</td>\n",
+       "      <td>118.83</td>\n",
+       "      <td>143.20</td>\n",
+       "      <td>99.38</td>\n",
+       "      <td>99.39</td>\n",
+       "      <td>92.66</td>\n",
+       "      <td>89.74</td>\n",
+       "      <td>98.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>44.00</td>\n",
+       "      <td>115.91</td>\n",
+       "      <td>59.04</td>\n",
+       "      <td>118.38</td>\n",
+       "      <td>148.07</td>\n",
+       "      <td>81.82</td>\n",
+       "      <td>313.61</td>\n",
+       "      <td>70.75</td>\n",
+       "      <td>94.76</td>\n",
+       "      <td>119.65</td>\n",
+       "      <td>146.32</td>\n",
+       "      <td>101.53</td>\n",
+       "      <td>101.62</td>\n",
+       "      <td>94.59</td>\n",
+       "      <td>93.46</td>\n",
+       "      <td>100.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>44.06</td>\n",
+       "      <td>114.45</td>\n",
+       "      <td>58.69</td>\n",
+       "      <td>118.35</td>\n",
+       "      <td>148.41</td>\n",
+       "      <td>82.58</td>\n",
+       "      <td>312.73</td>\n",
+       "      <td>70.63</td>\n",
+       "      <td>93.42</td>\n",
+       "      <td>116.05</td>\n",
+       "      <td>145.79</td>\n",
+       "      <td>101.43</td>\n",
+       "      <td>101.50</td>\n",
+       "      <td>93.40</td>\n",
+       "      <td>93.37</td>\n",
+       "      <td>99.85</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>43.85</td>\n",
+       "      <td>115.25</td>\n",
+       "      <td>58.78</td>\n",
+       "      <td>119.00</td>\n",
+       "      <td>147.96</td>\n",
+       "      <td>83.24</td>\n",
+       "      <td>320.64</td>\n",
+       "      <td>71.98</td>\n",
+       "      <td>94.98</td>\n",
+       "      <td>116.43</td>\n",
+       "      <td>147.54</td>\n",
+       "      <td>102.24</td>\n",
+       "      <td>102.62</td>\n",
+       "      <td>94.31</td>\n",
+       "      <td>94.24</td>\n",
+       "      <td>99.93</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>59.39</td>\n",
+       "      <td>235.28</td>\n",
+       "      <td>84.30</td>\n",
+       "      <td>211.51</td>\n",
+       "      <td>342.58</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>59.36</td>\n",
+       "      <td>224.73</td>\n",
+       "      <td>86.07</td>\n",
+       "      <td>211.97</td>\n",
+       "      <td>349.62</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>59.24</td>\n",
+       "      <td>217.84</td>\n",
+       "      <td>84.80</td>\n",
+       "      <td>210.41</td>\n",
+       "      <td>352.14</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>59.49</td>\n",
+       "      <td>229.94</td>\n",
+       "      <td>85.92</td>\n",
+       "      <td>210.17</td>\n",
+       "      <td>355.00</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>59.45</td>\n",
+       "      <td>227.94</td>\n",
+       "      <td>86.74</td>\n",
+       "      <td>211.65</td>\n",
+       "      <td>358.46</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1260 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               VZ     MCD  Close     CLX    COST    PSX     BLK    TROW  \\\n",
+       "2015-10-01  42.96  116.07  57.48  115.38  144.56  77.93  295.92   68.59   \n",
+       "2015-10-02  42.84  114.76  58.08  116.93  145.86  79.48  303.36   68.74   \n",
+       "2015-10-05  44.00  115.91  59.04  118.38  148.07  81.82  313.61   70.75   \n",
+       "2015-10-06  44.06  114.45  58.69  118.35  148.41  82.58  312.73   70.63   \n",
+       "2015-10-07  43.85  115.25  58.78  119.00  147.96  83.24  320.64   71.98   \n",
+       "...           ...     ...    ...     ...     ...    ...     ...     ...   \n",
+       "2020-09-25  59.39  235.28  84.30  211.51  342.58  52.88  547.81  125.22   \n",
+       "2020-09-28  59.36  224.73  86.07  211.97  349.62  53.98  558.65  128.55   \n",
+       "2020-09-29  59.24  217.84  84.80  210.41  352.14  52.19  554.80  127.49   \n",
+       "2020-09-30  59.49  229.94  85.92  210.17  355.00  51.84  563.55  128.22   \n",
+       "2020-10-01  59.45  227.94  86.74  211.65  358.46  50.28  567.91  128.04   \n",
+       "\n",
+       "               JNJ     UNH     MMM     UPS     ACN     PPG     AMT     NEE  \n",
+       "2015-10-01   93.17  116.61  140.80   98.58   98.44   90.13   88.38   96.55  \n",
+       "2015-10-02   93.93  118.83  143.20   99.38   99.39   92.66   89.74   98.54  \n",
+       "2015-10-05   94.76  119.65  146.32  101.53  101.62   94.59   93.46  100.72  \n",
+       "2015-10-06   93.42  116.05  145.79  101.43  101.50   93.40   93.37   99.85  \n",
+       "2015-10-07   94.98  116.43  147.54  102.24  102.62   94.31   94.24   99.93  \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...  \n",
+       "2020-09-25  145.66  302.50  160.27  166.12  214.63  120.25  239.81  281.82  \n",
+       "2020-09-28  147.11  303.23  161.66  168.90  222.78  121.74  240.00  284.14  \n",
+       "2020-09-29  147.06  304.15  159.81  168.50  224.08  120.33  240.12  283.12  \n",
+       "2020-09-30  148.88  311.77  160.18  166.63  225.99  122.08  241.73  277.56  \n",
+       "2020-10-01  147.32  313.07  158.79  167.65  225.18  121.78  242.15  282.76  \n",
+       "\n",
+       "[1260 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Setting the index \n",
+    "\n",
+    "felipe_df.index=felipe_df.index.date\n",
+    "felipe_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>VZ</th>\n",
+       "      <th>MCD</th>\n",
+       "      <th>SBUX</th>\n",
+       "      <th>CLX</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-01</th>\n",
+       "      <td>42.96</td>\n",
+       "      <td>116.07</td>\n",
+       "      <td>57.48</td>\n",
+       "      <td>115.38</td>\n",
+       "      <td>144.56</td>\n",
+       "      <td>77.93</td>\n",
+       "      <td>295.92</td>\n",
+       "      <td>68.59</td>\n",
+       "      <td>93.17</td>\n",
+       "      <td>116.61</td>\n",
+       "      <td>140.80</td>\n",
+       "      <td>98.58</td>\n",
+       "      <td>98.44</td>\n",
+       "      <td>90.13</td>\n",
+       "      <td>88.38</td>\n",
+       "      <td>96.55</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>42.84</td>\n",
+       "      <td>114.76</td>\n",
+       "      <td>58.08</td>\n",
+       "      <td>116.93</td>\n",
+       "      <td>145.86</td>\n",
+       "      <td>79.48</td>\n",
+       "      <td>303.36</td>\n",
+       "      <td>68.74</td>\n",
+       "      <td>93.93</td>\n",
+       "      <td>118.83</td>\n",
+       "      <td>143.20</td>\n",
+       "      <td>99.38</td>\n",
+       "      <td>99.39</td>\n",
+       "      <td>92.66</td>\n",
+       "      <td>89.74</td>\n",
+       "      <td>98.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>44.00</td>\n",
+       "      <td>115.91</td>\n",
+       "      <td>59.04</td>\n",
+       "      <td>118.38</td>\n",
+       "      <td>148.07</td>\n",
+       "      <td>81.82</td>\n",
+       "      <td>313.61</td>\n",
+       "      <td>70.75</td>\n",
+       "      <td>94.76</td>\n",
+       "      <td>119.65</td>\n",
+       "      <td>146.32</td>\n",
+       "      <td>101.53</td>\n",
+       "      <td>101.62</td>\n",
+       "      <td>94.59</td>\n",
+       "      <td>93.46</td>\n",
+       "      <td>100.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>44.06</td>\n",
+       "      <td>114.45</td>\n",
+       "      <td>58.69</td>\n",
+       "      <td>118.35</td>\n",
+       "      <td>148.41</td>\n",
+       "      <td>82.58</td>\n",
+       "      <td>312.73</td>\n",
+       "      <td>70.63</td>\n",
+       "      <td>93.42</td>\n",
+       "      <td>116.05</td>\n",
+       "      <td>145.79</td>\n",
+       "      <td>101.43</td>\n",
+       "      <td>101.50</td>\n",
+       "      <td>93.40</td>\n",
+       "      <td>93.37</td>\n",
+       "      <td>99.85</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>43.85</td>\n",
+       "      <td>115.25</td>\n",
+       "      <td>58.78</td>\n",
+       "      <td>119.00</td>\n",
+       "      <td>147.96</td>\n",
+       "      <td>83.24</td>\n",
+       "      <td>320.64</td>\n",
+       "      <td>71.98</td>\n",
+       "      <td>94.98</td>\n",
+       "      <td>116.43</td>\n",
+       "      <td>147.54</td>\n",
+       "      <td>102.24</td>\n",
+       "      <td>102.62</td>\n",
+       "      <td>94.31</td>\n",
+       "      <td>94.24</td>\n",
+       "      <td>99.93</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>59.39</td>\n",
+       "      <td>235.28</td>\n",
+       "      <td>84.30</td>\n",
+       "      <td>211.51</td>\n",
+       "      <td>342.58</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>59.36</td>\n",
+       "      <td>224.73</td>\n",
+       "      <td>86.07</td>\n",
+       "      <td>211.97</td>\n",
+       "      <td>349.62</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>59.24</td>\n",
+       "      <td>217.84</td>\n",
+       "      <td>84.80</td>\n",
+       "      <td>210.41</td>\n",
+       "      <td>352.14</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>59.49</td>\n",
+       "      <td>229.94</td>\n",
+       "      <td>85.92</td>\n",
+       "      <td>210.17</td>\n",
+       "      <td>355.00</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>59.45</td>\n",
+       "      <td>227.94</td>\n",
+       "      <td>86.74</td>\n",
+       "      <td>211.65</td>\n",
+       "      <td>358.46</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1260 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               VZ     MCD   SBUX     CLX    COST    PSX     BLK    TROW  \\\n",
+       "2015-10-01  42.96  116.07  57.48  115.38  144.56  77.93  295.92   68.59   \n",
+       "2015-10-02  42.84  114.76  58.08  116.93  145.86  79.48  303.36   68.74   \n",
+       "2015-10-05  44.00  115.91  59.04  118.38  148.07  81.82  313.61   70.75   \n",
+       "2015-10-06  44.06  114.45  58.69  118.35  148.41  82.58  312.73   70.63   \n",
+       "2015-10-07  43.85  115.25  58.78  119.00  147.96  83.24  320.64   71.98   \n",
+       "...           ...     ...    ...     ...     ...    ...     ...     ...   \n",
+       "2020-09-25  59.39  235.28  84.30  211.51  342.58  52.88  547.81  125.22   \n",
+       "2020-09-28  59.36  224.73  86.07  211.97  349.62  53.98  558.65  128.55   \n",
+       "2020-09-29  59.24  217.84  84.80  210.41  352.14  52.19  554.80  127.49   \n",
+       "2020-09-30  59.49  229.94  85.92  210.17  355.00  51.84  563.55  128.22   \n",
+       "2020-10-01  59.45  227.94  86.74  211.65  358.46  50.28  567.91  128.04   \n",
+       "\n",
+       "               JNJ     UNH     MMM     UPS     ACN     PPG     AMT     NEE  \n",
+       "2015-10-01   93.17  116.61  140.80   98.58   98.44   90.13   88.38   96.55  \n",
+       "2015-10-02   93.93  118.83  143.20   99.38   99.39   92.66   89.74   98.54  \n",
+       "2015-10-05   94.76  119.65  146.32  101.53  101.62   94.59   93.46  100.72  \n",
+       "2015-10-06   93.42  116.05  145.79  101.43  101.50   93.40   93.37   99.85  \n",
+       "2015-10-07   94.98  116.43  147.54  102.24  102.62   94.31   94.24   99.93  \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...  \n",
+       "2020-09-25  145.66  302.50  160.27  166.12  214.63  120.25  239.81  281.82  \n",
+       "2020-09-28  147.11  303.23  161.66  168.90  222.78  121.74  240.00  284.14  \n",
+       "2020-09-29  147.06  304.15  159.81  168.50  224.08  120.33  240.12  283.12  \n",
+       "2020-09-30  148.88  311.77  160.18  166.63  225.99  122.08  241.73  277.56  \n",
+       "2020-10-01  147.32  313.07  158.79  167.65  225.18  121.78  242.15  282.76  \n",
+       "\n",
+       "[1260 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Fixing a column name for Felipe's picks \n",
+    "\n",
+    "column_names = felipe_df.columns.values\n",
+    "column_names[2] = 'SBUX'\n",
+    "felipe_df.columns = column_names\n",
+    "\n",
+    "felipe_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>...</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>126.86</td>\n",
+       "      <td>...</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>102.49</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>158.38</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.28</td>\n",
+       "      <td>103.37</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>100.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>130.21</td>\n",
+       "      <td>...</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>102.48</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>158.95</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>104.62</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>101.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>132.50</td>\n",
+       "      <td>...</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>102.77</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>158.65</td>\n",
+       "      <td>103.59</td>\n",
+       "      <td>107.84</td>\n",
+       "      <td>105.47</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>100.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>133.60</td>\n",
+       "      <td>...</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>102.04</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>157.75</td>\n",
+       "      <td>103.40</td>\n",
+       "      <td>107.35</td>\n",
+       "      <td>105.49</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>99.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>134.65</td>\n",
+       "      <td>...</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>101.96</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>157.63</td>\n",
+       "      <td>103.49</td>\n",
+       "      <td>107.10</td>\n",
+       "      <td>106.46</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>98.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>138.210007</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>268.55</td>\n",
+       "      <td>...</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>140.919998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>272.33</td>\n",
+       "      <td>...</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>138.550003</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>272.11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>138.429993</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>277.71</td>\n",
+       "      <td>...</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>138.220001</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>277.62</td>\n",
+       "      <td>...</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 ORCL          SQ        NVDA        BABA        PFE  \\\n",
+       "2015-11-19  36.108597   13.070000   30.458263   77.870003  27.049994   \n",
+       "2015-11-20  36.404728   12.850000   30.722525   79.949997  26.957846   \n",
+       "2015-11-23  36.219639   12.120000   30.262524   81.309998  26.245783   \n",
+       "2015-11-24  36.515770   12.020000   30.507206   80.860001  26.781923   \n",
+       "2015-11-25  36.330700   11.900000   30.468054   81.709999  27.535873   \n",
+       "...               ...         ...         ...         ...        ...   \n",
+       "2020-09-25  59.799999  157.720001  514.950012  271.089996  36.049999   \n",
+       "2020-09-28  59.580002  160.759995  521.400024  276.010010  36.389999   \n",
+       "2020-09-29  59.470001  164.809998  529.030029  276.929993  36.169998   \n",
+       "2020-09-30  59.700001  162.550003  541.219971  293.980011  36.700001   \n",
+       "2020-10-01  59.680000  168.490005  544.580017  290.049988  36.369999   \n",
+       "\n",
+       "                  NFLX         CRM          GD     AMT      HD  ...     BLK  \\\n",
+       "2015-11-19  120.220001   80.639999  130.626297   99.63  126.86  ...  359.09   \n",
+       "2015-11-20  123.839996   80.989998  130.896194  100.49  130.21  ...  362.46   \n",
+       "2015-11-23  125.029999   80.779999  130.077530   99.94  132.50  ...  363.25   \n",
+       "2015-11-24  123.309998   80.389999  130.923172   99.26  133.60  ...  356.81   \n",
+       "2015-11-25  124.160004   80.410004  130.608292   99.09  134.65  ...  360.62   \n",
+       "...                ...         ...         ...     ...     ...  ...     ...   \n",
+       "2020-09-25  482.880005  242.740005  138.210007  239.81  268.55  ...  547.81   \n",
+       "2020-09-28  490.649994  246.669998  140.919998  240.00  272.33  ...  558.65   \n",
+       "2020-09-29  493.480011  247.449997  138.550003  240.12  272.11  ...  554.80   \n",
+       "2020-09-30  500.029999  251.320007  138.429993  241.73  277.71  ...  563.55   \n",
+       "2020-10-01  527.510010  253.449997  138.220001  242.15  277.62  ...  567.91   \n",
+       "\n",
+       "              TROW     JNJ     UNH     MMM     UPS     ACN     PPG     AMT  \\\n",
+       "2015-11-19   76.38  102.49  110.63  158.38  104.10  107.28  103.37   99.63   \n",
+       "2015-11-20   76.37  102.48  112.97  158.95  104.10  107.97  104.62  100.49   \n",
+       "2015-11-23   76.15  102.77  112.16  158.65  103.59  107.84  105.47   99.94   \n",
+       "2015-11-24   75.62  102.04  113.19  157.75  103.40  107.35  105.49   99.26   \n",
+       "2015-11-25   76.01  101.96  114.41  157.63  103.49  107.10  106.46   99.09   \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...   \n",
+       "2020-09-25  125.22  145.66  302.50  160.27  166.12  214.63  120.25  239.81   \n",
+       "2020-09-28  128.55  147.11  303.23  161.66  168.90  222.78  121.74  240.00   \n",
+       "2020-09-29  127.49  147.06  304.15  159.81  168.50  224.08  120.33  240.12   \n",
+       "2020-09-30  128.22  148.88  311.77  160.18  166.63  225.99  122.08  241.73   \n",
+       "2020-10-01  128.04  147.32  313.07  158.79  167.65  225.18  121.78  242.15   \n",
+       "\n",
+       "               NEE  \n",
+       "2015-11-19  100.99  \n",
+       "2015-11-20  101.02  \n",
+       "2015-11-23  100.49  \n",
+       "2015-11-24   99.41  \n",
+       "2015-11-25   98.88  \n",
+       "...            ...  \n",
+       "2020-09-25  281.82  \n",
+       "2020-09-28  284.14  \n",
+       "2020-09-29  283.12  \n",
+       "2020-09-30  277.56  \n",
+       "2020-10-01  282.76  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Combining all of our df's to create one master df from where we will decide which stocks we chose\n",
+    "\n",
+    "combined_2 = pd.concat([eve_df, eren_df, phil_df, felipe_df], axis='columns', join='outer')\n",
+    "combined_2.dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Index(['ORCL', 'SQ', 'NVDA', 'BABA', 'PFE', 'NFLX', 'CRM', 'GD', 'AMT', 'HD',\n",
+      "       'FB', 'MSFT', 'WMT', 'VZ', 'MCD', 'SBUX', 'CLX', 'COST', 'PSX', 'BLK',\n",
+      "       'TROW', 'JNJ', 'UNH', 'MMM', 'UPS', 'ACN', 'PPG', 'AMT', 'NEE'],\n",
+      "      dtype='object')\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Just a sanity check to see all the column names to ensure that we got everything\n",
+    "\n",
+    "print(combined_2.columns)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Inital Data Calculations of All the Potential Stocks for Our Portfolio"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculate Daily Returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>...</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.002066</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>0.026407</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>-0.000098</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.003599</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.006432</td>\n",
+       "      <td>0.012092</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>0.000297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.006254</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>0.017587</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>0.002830</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>-0.001887</td>\n",
+       "      <td>-0.004899</td>\n",
+       "      <td>-0.001204</td>\n",
+       "      <td>0.008125</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>-0.005246</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>0.006501</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>0.008302</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>-0.007103</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>-0.005673</td>\n",
+       "      <td>-0.001834</td>\n",
+       "      <td>-0.004544</td>\n",
+       "      <td>0.000190</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>-0.010747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.002405</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>0.007859</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>-0.000784</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>-0.000761</td>\n",
+       "      <td>0.000870</td>\n",
+       "      <td>-0.002329</td>\n",
+       "      <td>0.009195</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>-0.005331</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.002617</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>0.000668</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>0.004021</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>0.002284</td>\n",
+       "      <td>0.006667</td>\n",
+       "      <td>0.003361</td>\n",
+       "      <td>-0.002348</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>0.004956</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>-0.003679</td>\n",
+       "      <td>0.019275</td>\n",
+       "      <td>0.012526</td>\n",
+       "      <td>0.018149</td>\n",
+       "      <td>0.009431</td>\n",
+       "      <td>0.016091</td>\n",
+       "      <td>0.016190</td>\n",
+       "      <td>0.019608</td>\n",
+       "      <td>0.000792</td>\n",
+       "      <td>0.014076</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.019788</td>\n",
+       "      <td>0.026593</td>\n",
+       "      <td>0.009955</td>\n",
+       "      <td>0.002413</td>\n",
+       "      <td>0.008673</td>\n",
+       "      <td>0.016735</td>\n",
+       "      <td>0.037972</td>\n",
+       "      <td>0.012391</td>\n",
+       "      <td>0.000792</td>\n",
+       "      <td>0.008232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.001846</td>\n",
+       "      <td>0.025193</td>\n",
+       "      <td>0.014634</td>\n",
+       "      <td>0.003333</td>\n",
+       "      <td>-0.006046</td>\n",
+       "      <td>0.005768</td>\n",
+       "      <td>0.003162</td>\n",
+       "      <td>-0.016818</td>\n",
+       "      <td>0.000500</td>\n",
+       "      <td>-0.000808</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.006892</td>\n",
+       "      <td>-0.008246</td>\n",
+       "      <td>-0.000340</td>\n",
+       "      <td>0.003034</td>\n",
+       "      <td>-0.011444</td>\n",
+       "      <td>-0.002368</td>\n",
+       "      <td>0.005835</td>\n",
+       "      <td>-0.011582</td>\n",
+       "      <td>0.000500</td>\n",
+       "      <td>-0.003590</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.003867</td>\n",
+       "      <td>-0.013713</td>\n",
+       "      <td>0.023042</td>\n",
+       "      <td>0.061568</td>\n",
+       "      <td>0.014653</td>\n",
+       "      <td>0.013273</td>\n",
+       "      <td>0.015640</td>\n",
+       "      <td>-0.000866</td>\n",
+       "      <td>0.006705</td>\n",
+       "      <td>0.020580</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.015771</td>\n",
+       "      <td>0.005726</td>\n",
+       "      <td>0.012376</td>\n",
+       "      <td>0.025053</td>\n",
+       "      <td>0.002315</td>\n",
+       "      <td>-0.011098</td>\n",
+       "      <td>0.008524</td>\n",
+       "      <td>0.014543</td>\n",
+       "      <td>0.006705</td>\n",
+       "      <td>-0.019638</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>-0.000335</td>\n",
+       "      <td>0.036543</td>\n",
+       "      <td>0.006208</td>\n",
+       "      <td>-0.013368</td>\n",
+       "      <td>-0.008992</td>\n",
+       "      <td>0.054957</td>\n",
+       "      <td>0.008475</td>\n",
+       "      <td>-0.001517</td>\n",
+       "      <td>0.001737</td>\n",
+       "      <td>-0.000324</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.007737</td>\n",
+       "      <td>-0.001404</td>\n",
+       "      <td>-0.010478</td>\n",
+       "      <td>0.004170</td>\n",
+       "      <td>-0.008678</td>\n",
+       "      <td>0.006121</td>\n",
+       "      <td>-0.003584</td>\n",
+       "      <td>-0.002457</td>\n",
+       "      <td>0.001737</td>\n",
+       "      <td>0.018735</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-02</th>\n",
+       "      <td>-0.014243</td>\n",
+       "      <td>0.006647</td>\n",
+       "      <td>-0.040563</td>\n",
+       "      <td>-0.006482</td>\n",
+       "      <td>0.000275</td>\n",
+       "      <td>-0.046350</td>\n",
+       "      <td>-0.022095</td>\n",
+       "      <td>0.016423</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                ORCL        SQ      NVDA      BABA       PFE      NFLX  \\\n",
+       "2015-11-20  0.008201 -0.016832  0.008676  0.026711 -0.003407  0.030111   \n",
+       "2015-11-23 -0.005084 -0.056809 -0.014973  0.017011 -0.026414  0.009609   \n",
+       "2015-11-24  0.008176 -0.008251  0.008085 -0.005534  0.020428 -0.013757   \n",
+       "2015-11-25 -0.005068 -0.009983 -0.001283  0.010512  0.028151  0.006893   \n",
+       "2015-11-27 -0.002038  0.012605  0.008352 -0.004039 -0.002434  0.010309   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-28 -0.003679  0.019275  0.012526  0.018149  0.009431  0.016091   \n",
+       "2020-09-29 -0.001846  0.025193  0.014634  0.003333 -0.006046  0.005768   \n",
+       "2020-09-30  0.003867 -0.013713  0.023042  0.061568  0.014653  0.013273   \n",
+       "2020-10-01 -0.000335  0.036543  0.006208 -0.013368 -0.008992  0.054957   \n",
+       "2020-10-02 -0.014243  0.006647 -0.040563 -0.006482  0.000275 -0.046350   \n",
+       "\n",
+       "                 CRM        GD       AMT        HD  ...       BLK      TROW  \\\n",
+       "2015-11-20  0.004340  0.002066  0.008632  0.026407  ...  0.009385 -0.000131   \n",
+       "2015-11-23 -0.002593 -0.006254 -0.005473  0.017587  ...  0.002180 -0.002881   \n",
+       "2015-11-24 -0.004828  0.006501 -0.006804  0.008302  ... -0.017729 -0.006960   \n",
+       "2015-11-25  0.000249 -0.002405 -0.001713  0.007859  ...  0.010678  0.005157   \n",
+       "2015-11-27 -0.005472  0.002617  0.005954  0.000668  ... -0.006184 -0.000789   \n",
+       "...              ...       ...       ...       ...  ...       ...       ...   \n",
+       "2020-09-28  0.016190  0.019608  0.000792  0.014076  ...  0.019788  0.026593   \n",
+       "2020-09-29  0.003162 -0.016818  0.000500 -0.000808  ... -0.006892 -0.008246   \n",
+       "2020-09-30  0.015640 -0.000866  0.006705  0.020580  ...  0.015771  0.005726   \n",
+       "2020-10-01  0.008475 -0.001517  0.001737 -0.000324  ...  0.007737 -0.001404   \n",
+       "2020-10-02 -0.022095  0.016423  0.000000  0.000000  ...  0.000000  0.000000   \n",
+       "\n",
+       "                 JNJ       UNH       MMM       UPS       ACN       PPG  \\\n",
+       "2015-11-20 -0.000098  0.021152  0.003599  0.000000  0.006432  0.012092   \n",
+       "2015-11-23  0.002830 -0.007170 -0.001887 -0.004899 -0.001204  0.008125   \n",
+       "2015-11-24 -0.007103  0.009183 -0.005673 -0.001834 -0.004544  0.000190   \n",
+       "2015-11-25 -0.000784  0.010778 -0.000761  0.000870 -0.002329  0.009195   \n",
+       "2015-11-27  0.004021 -0.000612  0.002284  0.006667  0.003361 -0.002348   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-28  0.009955  0.002413  0.008673  0.016735  0.037972  0.012391   \n",
+       "2020-09-29 -0.000340  0.003034 -0.011444 -0.002368  0.005835 -0.011582   \n",
+       "2020-09-30  0.012376  0.025053  0.002315 -0.011098  0.008524  0.014543   \n",
+       "2020-10-01 -0.010478  0.004170 -0.008678  0.006121 -0.003584 -0.002457   \n",
+       "2020-10-02  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
+       "\n",
+       "                 AMT       NEE  \n",
+       "2015-11-20  0.008632  0.000297  \n",
+       "2015-11-23 -0.005473 -0.005246  \n",
+       "2015-11-24 -0.006804 -0.010747  \n",
+       "2015-11-25 -0.001713 -0.005331  \n",
+       "2015-11-27  0.005954  0.004956  \n",
+       "...              ...       ...  \n",
+       "2020-09-28  0.000792  0.008232  \n",
+       "2020-09-29  0.000500 -0.003590  \n",
+       "2020-09-30  0.006705 -0.019638  \n",
+       "2020-10-01  0.001737  0.018735  \n",
+       "2020-10-02  0.000000  0.000000  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Calculating the daily returns for each stock\n",
+    "\n",
+    "portfolio_daily=combined_2.pct_change()\n",
+    "\n",
+    "portfolio_daily.dropna()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculating Cumulative Returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>...</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.250587</td>\n",
+       "      <td>-0.031071</td>\n",
+       "      <td>0.113169</td>\n",
+       "      <td>0.075993</td>\n",
+       "      <td>0.014552</td>\n",
+       "      <td>0.119791</td>\n",
+       "      <td>0.105254</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.224858</td>\n",
+       "      <td>0.113428</td>\n",
+       "      <td>0.099925</td>\n",
+       "      <td>-0.031215</td>\n",
+       "      <td>0.128906</td>\n",
+       "      <td>0.055995</td>\n",
+       "      <td>0.096810</td>\n",
+       "      <td>0.160768</td>\n",
+       "      <td>0.137022</td>\n",
+       "      <td>0.046297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>0.003075</td>\n",
+       "      <td>-0.072686</td>\n",
+       "      <td>-0.006426</td>\n",
+       "      <td>0.271860</td>\n",
+       "      <td>-0.056664</td>\n",
+       "      <td>0.123865</td>\n",
+       "      <td>0.073203</td>\n",
+       "      <td>0.008207</td>\n",
+       "      <td>0.113662</td>\n",
+       "      <td>0.124692</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.227528</td>\n",
+       "      <td>0.110220</td>\n",
+       "      <td>0.103037</td>\n",
+       "      <td>-0.038161</td>\n",
+       "      <td>0.126776</td>\n",
+       "      <td>0.050822</td>\n",
+       "      <td>0.095490</td>\n",
+       "      <td>0.170199</td>\n",
+       "      <td>0.130799</td>\n",
+       "      <td>0.040808</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.011276</td>\n",
+       "      <td>-0.080337</td>\n",
+       "      <td>0.001607</td>\n",
+       "      <td>0.264821</td>\n",
+       "      <td>-0.037394</td>\n",
+       "      <td>0.108404</td>\n",
+       "      <td>0.068022</td>\n",
+       "      <td>0.014762</td>\n",
+       "      <td>0.106084</td>\n",
+       "      <td>0.134029</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.205765</td>\n",
+       "      <td>0.102493</td>\n",
+       "      <td>0.095202</td>\n",
+       "      <td>-0.029329</td>\n",
+       "      <td>0.120384</td>\n",
+       "      <td>0.048894</td>\n",
+       "      <td>0.090512</td>\n",
+       "      <td>0.170421</td>\n",
+       "      <td>0.123105</td>\n",
+       "      <td>0.029622</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>0.006151</td>\n",
+       "      <td>-0.089518</td>\n",
+       "      <td>0.000321</td>\n",
+       "      <td>0.278117</td>\n",
+       "      <td>-0.010295</td>\n",
+       "      <td>0.116045</td>\n",
+       "      <td>0.068288</td>\n",
+       "      <td>0.012321</td>\n",
+       "      <td>0.104190</td>\n",
+       "      <td>0.142942</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.218640</td>\n",
+       "      <td>0.108179</td>\n",
+       "      <td>0.094344</td>\n",
+       "      <td>-0.018866</td>\n",
+       "      <td>0.119531</td>\n",
+       "      <td>0.049807</td>\n",
+       "      <td>0.087972</td>\n",
+       "      <td>0.181183</td>\n",
+       "      <td>0.121181</td>\n",
+       "      <td>0.024133</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.004101</td>\n",
+       "      <td>-0.078041</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.272955</td>\n",
+       "      <td>-0.012704</td>\n",
+       "      <td>0.127551</td>\n",
+       "      <td>0.062442</td>\n",
+       "      <td>0.014970</td>\n",
+       "      <td>0.110764</td>\n",
+       "      <td>0.143706</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.211104</td>\n",
+       "      <td>0.107304</td>\n",
+       "      <td>0.098744</td>\n",
+       "      <td>-0.019467</td>\n",
+       "      <td>0.122088</td>\n",
+       "      <td>0.056807</td>\n",
+       "      <td>0.091629</td>\n",
+       "      <td>0.178409</td>\n",
+       "      <td>0.127857</td>\n",
+       "      <td>0.029208</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.650023</td>\n",
+       "      <td>11.299923</td>\n",
+       "      <td>16.118508</td>\n",
+       "      <td>3.317379</td>\n",
+       "      <td>0.307943</td>\n",
+       "      <td>3.410337</td>\n",
+       "      <td>2.277136</td>\n",
+       "      <td>0.092245</td>\n",
+       "      <td>1.674393</td>\n",
+       "      <td>1.311603</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.887841</td>\n",
+       "      <td>0.874180</td>\n",
+       "      <td>0.578942</td>\n",
+       "      <td>1.600377</td>\n",
+       "      <td>0.148153</td>\n",
+       "      <td>0.713329</td>\n",
+       "      <td>1.263104</td>\n",
+       "      <td>0.350716</td>\n",
+       "      <td>1.715547</td>\n",
+       "      <td>1.942931</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>0.646976</td>\n",
+       "      <td>11.609793</td>\n",
+       "      <td>16.369015</td>\n",
+       "      <td>3.331769</td>\n",
+       "      <td>0.300036</td>\n",
+       "      <td>3.435775</td>\n",
+       "      <td>2.287498</td>\n",
+       "      <td>0.073876</td>\n",
+       "      <td>1.675730</td>\n",
+       "      <td>1.309736</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.874831</td>\n",
+       "      <td>0.858726</td>\n",
+       "      <td>0.578405</td>\n",
+       "      <td>1.608267</td>\n",
+       "      <td>0.135014</td>\n",
+       "      <td>0.709272</td>\n",
+       "      <td>1.276310</td>\n",
+       "      <td>0.335072</td>\n",
+       "      <td>1.716904</td>\n",
+       "      <td>1.932367</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.653346</td>\n",
+       "      <td>11.436879</td>\n",
+       "      <td>16.769233</td>\n",
+       "      <td>3.598467</td>\n",
+       "      <td>0.319085</td>\n",
+       "      <td>3.494652</td>\n",
+       "      <td>2.338913</td>\n",
+       "      <td>0.072946</td>\n",
+       "      <td>1.693671</td>\n",
+       "      <td>1.357270</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.904400</td>\n",
+       "      <td>0.869369</td>\n",
+       "      <td>0.597939</td>\n",
+       "      <td>1.673613</td>\n",
+       "      <td>0.137642</td>\n",
+       "      <td>0.690302</td>\n",
+       "      <td>1.295713</td>\n",
+       "      <td>0.354488</td>\n",
+       "      <td>1.735121</td>\n",
+       "      <td>1.874780</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.652792</td>\n",
+       "      <td>11.891355</td>\n",
+       "      <td>16.879549</td>\n",
+       "      <td>3.536993</td>\n",
+       "      <td>0.307224</td>\n",
+       "      <td>3.741663</td>\n",
+       "      <td>2.367211</td>\n",
+       "      <td>0.071318</td>\n",
+       "      <td>1.698351</td>\n",
+       "      <td>1.356506</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.919134</td>\n",
+       "      <td>0.866744</td>\n",
+       "      <td>0.581196</td>\n",
+       "      <td>1.684761</td>\n",
+       "      <td>0.127770</td>\n",
+       "      <td>0.700649</td>\n",
+       "      <td>1.287485</td>\n",
+       "      <td>0.351159</td>\n",
+       "      <td>1.739873</td>\n",
+       "      <td>1.928638</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-02</th>\n",
+       "      <td>0.629252</td>\n",
+       "      <td>11.977047</td>\n",
+       "      <td>16.154294</td>\n",
+       "      <td>3.507587</td>\n",
+       "      <td>0.307584</td>\n",
+       "      <td>3.521888</td>\n",
+       "      <td>2.292813</td>\n",
+       "      <td>0.088912</td>\n",
+       "      <td>1.698351</td>\n",
+       "      <td>1.356506</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.919134</td>\n",
+       "      <td>0.866744</td>\n",
+       "      <td>0.581196</td>\n",
+       "      <td>1.684761</td>\n",
+       "      <td>0.127770</td>\n",
+       "      <td>0.700649</td>\n",
+       "      <td>1.287485</td>\n",
+       "      <td>0.351159</td>\n",
+       "      <td>1.739873</td>\n",
+       "      <td>1.928638</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                ORCL         SQ       NVDA      BABA       PFE      NFLX  \\\n",
+       "2015-11-20  0.008201  -0.016832   0.008676  0.250587 -0.031071  0.113169   \n",
+       "2015-11-23  0.003075  -0.072686  -0.006426  0.271860 -0.056664  0.123865   \n",
+       "2015-11-24  0.011276  -0.080337   0.001607  0.264821 -0.037394  0.108404   \n",
+       "2015-11-25  0.006151  -0.089518   0.000321  0.278117 -0.010295  0.116045   \n",
+       "2015-11-27  0.004101  -0.078041   0.008676  0.272955 -0.012704  0.127551   \n",
+       "...              ...        ...        ...       ...       ...       ...   \n",
+       "2020-09-28  0.650023  11.299923  16.118508  3.317379  0.307943  3.410337   \n",
+       "2020-09-29  0.646976  11.609793  16.369015  3.331769  0.300036  3.435775   \n",
+       "2020-09-30  0.653346  11.436879  16.769233  3.598467  0.319085  3.494652   \n",
+       "2020-10-01  0.652792  11.891355  16.879549  3.536993  0.307224  3.741663   \n",
+       "2020-10-02  0.629252  11.977047  16.154294  3.507587  0.307584  3.521888   \n",
+       "\n",
+       "                 CRM        GD       AMT        HD  ...       BLK      TROW  \\\n",
+       "2015-11-20  0.075993  0.014552  0.119791  0.105254  ...  0.224858  0.113428   \n",
+       "2015-11-23  0.073203  0.008207  0.113662  0.124692  ...  0.227528  0.110220   \n",
+       "2015-11-24  0.068022  0.014762  0.106084  0.134029  ...  0.205765  0.102493   \n",
+       "2015-11-25  0.068288  0.012321  0.104190  0.142942  ...  0.218640  0.108179   \n",
+       "2015-11-27  0.062442  0.014970  0.110764  0.143706  ...  0.211104  0.107304   \n",
+       "...              ...       ...       ...       ...  ...       ...       ...   \n",
+       "2020-09-28  2.277136  0.092245  1.674393  1.311603  ...  0.887841  0.874180   \n",
+       "2020-09-29  2.287498  0.073876  1.675730  1.309736  ...  0.874831  0.858726   \n",
+       "2020-09-30  2.338913  0.072946  1.693671  1.357270  ...  0.904400  0.869369   \n",
+       "2020-10-01  2.367211  0.071318  1.698351  1.356506  ...  0.919134  0.866744   \n",
+       "2020-10-02  2.292813  0.088912  1.698351  1.356506  ...  0.919134  0.866744   \n",
+       "\n",
+       "                 JNJ       UNH       MMM       UPS       ACN       PPG  \\\n",
+       "2015-11-20  0.099925 -0.031215  0.128906  0.055995  0.096810  0.160768   \n",
+       "2015-11-23  0.103037 -0.038161  0.126776  0.050822  0.095490  0.170199   \n",
+       "2015-11-24  0.095202 -0.029329  0.120384  0.048894  0.090512  0.170421   \n",
+       "2015-11-25  0.094344 -0.018866  0.119531  0.049807  0.087972  0.181183   \n",
+       "2015-11-27  0.098744 -0.019467  0.122088  0.056807  0.091629  0.178409   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-28  0.578942  1.600377  0.148153  0.713329  1.263104  0.350716   \n",
+       "2020-09-29  0.578405  1.608267  0.135014  0.709272  1.276310  0.335072   \n",
+       "2020-09-30  0.597939  1.673613  0.137642  0.690302  1.295713  0.354488   \n",
+       "2020-10-01  0.581196  1.684761  0.127770  0.700649  1.287485  0.351159   \n",
+       "2020-10-02  0.581196  1.684761  0.127770  0.700649  1.287485  0.351159   \n",
+       "\n",
+       "                 AMT       NEE  \n",
+       "2015-11-20  0.137022  0.046297  \n",
+       "2015-11-23  0.130799  0.040808  \n",
+       "2015-11-24  0.123105  0.029622  \n",
+       "2015-11-25  0.121181  0.024133  \n",
+       "2015-11-27  0.127857  0.029208  \n",
+       "...              ...       ...  \n",
+       "2020-09-28  1.715547  1.942931  \n",
+       "2020-09-29  1.716904  1.932367  \n",
+       "2020-09-30  1.735121  1.874780  \n",
+       "2020-10-01  1.739873  1.928638  \n",
+       "2020-10-02  1.739873  1.928638  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Calculating each stocks cumulative return\n",
+    "\n",
+    "portfolio_cumulative = (portfolio_daily + 1).cumprod() -1 \n",
+    "portfolio_cumulative.dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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\n",
+      "text/plain": [
+       "<Figure size 2160x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "portfolio_cumulative.plot(figsize=(30,10));"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Correlation analysis of all potential stock choices"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>HD</th>\n",
+       "      <th>...</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.386744</td>\n",
+       "      <td>0.441040</td>\n",
+       "      <td>0.401531</td>\n",
+       "      <td>0.489490</td>\n",
+       "      <td>0.369383</td>\n",
+       "      <td>0.519998</td>\n",
+       "      <td>0.490317</td>\n",
+       "      <td>0.449187</td>\n",
+       "      <td>0.541530</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.574601</td>\n",
+       "      <td>0.618375</td>\n",
+       "      <td>0.499836</td>\n",
+       "      <td>0.462228</td>\n",
+       "      <td>0.493810</td>\n",
+       "      <td>0.487802</td>\n",
+       "      <td>0.591072</td>\n",
+       "      <td>0.465568</td>\n",
+       "      <td>0.449187</td>\n",
+       "      <td>0.396957</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>0.386744</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.497101</td>\n",
+       "      <td>0.435190</td>\n",
+       "      <td>0.266796</td>\n",
+       "      <td>0.406201</td>\n",
+       "      <td>0.522451</td>\n",
+       "      <td>0.352647</td>\n",
+       "      <td>0.308885</td>\n",
+       "      <td>0.450279</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.431928</td>\n",
+       "      <td>0.409611</td>\n",
+       "      <td>0.242860</td>\n",
+       "      <td>0.378159</td>\n",
+       "      <td>0.319524</td>\n",
+       "      <td>0.333834</td>\n",
+       "      <td>0.459690</td>\n",
+       "      <td>0.371524</td>\n",
+       "      <td>0.308885</td>\n",
+       "      <td>0.277866</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.441040</td>\n",
+       "      <td>0.497101</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.511186</td>\n",
+       "      <td>0.302716</td>\n",
+       "      <td>0.434059</td>\n",
+       "      <td>0.518649</td>\n",
+       "      <td>0.380077</td>\n",
+       "      <td>0.317052</td>\n",
+       "      <td>0.498054</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.480133</td>\n",
+       "      <td>0.445971</td>\n",
+       "      <td>0.321436</td>\n",
+       "      <td>0.409679</td>\n",
+       "      <td>0.428520</td>\n",
+       "      <td>0.394518</td>\n",
+       "      <td>0.482080</td>\n",
+       "      <td>0.381444</td>\n",
+       "      <td>0.317052</td>\n",
+       "      <td>0.273752</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.401531</td>\n",
+       "      <td>0.435190</td>\n",
+       "      <td>0.511186</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.277702</td>\n",
+       "      <td>0.418695</td>\n",
+       "      <td>0.458691</td>\n",
+       "      <td>0.353640</td>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.363652</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.453907</td>\n",
+       "      <td>0.409393</td>\n",
+       "      <td>0.287651</td>\n",
+       "      <td>0.319669</td>\n",
+       "      <td>0.368989</td>\n",
+       "      <td>0.345112</td>\n",
+       "      <td>0.444501</td>\n",
+       "      <td>0.384659</td>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.164492</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.489490</td>\n",
+       "      <td>0.266796</td>\n",
+       "      <td>0.302716</td>\n",
+       "      <td>0.277702</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.241524</td>\n",
+       "      <td>0.340086</td>\n",
+       "      <td>0.465807</td>\n",
+       "      <td>0.423415</td>\n",
+       "      <td>0.465854</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.499860</td>\n",
+       "      <td>0.528240</td>\n",
+       "      <td>0.601188</td>\n",
+       "      <td>0.506645</td>\n",
+       "      <td>0.467451</td>\n",
+       "      <td>0.418580</td>\n",
+       "      <td>0.472509</td>\n",
+       "      <td>0.392016</td>\n",
+       "      <td>0.423415</td>\n",
+       "      <td>0.401200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NFLX</th>\n",
+       "      <td>0.369383</td>\n",
+       "      <td>0.406201</td>\n",
+       "      <td>0.434059</td>\n",
+       "      <td>0.418695</td>\n",
+       "      <td>0.241524</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.505363</td>\n",
+       "      <td>0.265991</td>\n",
+       "      <td>0.221568</td>\n",
+       "      <td>0.356067</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.339315</td>\n",
+       "      <td>0.328485</td>\n",
+       "      <td>0.227223</td>\n",
+       "      <td>0.333898</td>\n",
+       "      <td>0.265286</td>\n",
+       "      <td>0.298567</td>\n",
+       "      <td>0.378506</td>\n",
+       "      <td>0.232731</td>\n",
+       "      <td>0.221568</td>\n",
+       "      <td>0.143194</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CRM</th>\n",
+       "      <td>0.519998</td>\n",
+       "      <td>0.522451</td>\n",
+       "      <td>0.518649</td>\n",
+       "      <td>0.458691</td>\n",
+       "      <td>0.340086</td>\n",
+       "      <td>0.505363</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.390874</td>\n",
+       "      <td>0.385879</td>\n",
+       "      <td>0.533370</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.515605</td>\n",
+       "      <td>0.481745</td>\n",
+       "      <td>0.353272</td>\n",
+       "      <td>0.415288</td>\n",
+       "      <td>0.381264</td>\n",
+       "      <td>0.360945</td>\n",
+       "      <td>0.570354</td>\n",
+       "      <td>0.395594</td>\n",
+       "      <td>0.385879</td>\n",
+       "      <td>0.296409</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>GD</th>\n",
+       "      <td>0.490317</td>\n",
+       "      <td>0.352647</td>\n",
+       "      <td>0.380077</td>\n",
+       "      <td>0.353640</td>\n",
+       "      <td>0.465807</td>\n",
+       "      <td>0.265991</td>\n",
+       "      <td>0.390874</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.436078</td>\n",
+       "      <td>0.559862</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.629273</td>\n",
+       "      <td>0.636208</td>\n",
+       "      <td>0.466839</td>\n",
+       "      <td>0.505194</td>\n",
+       "      <td>0.614054</td>\n",
+       "      <td>0.491739</td>\n",
+       "      <td>0.587317</td>\n",
+       "      <td>0.581177</td>\n",
+       "      <td>0.436078</td>\n",
+       "      <td>0.421907</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.449187</td>\n",
+       "      <td>0.308885</td>\n",
+       "      <td>0.317052</td>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.423415</td>\n",
+       "      <td>0.221568</td>\n",
+       "      <td>0.385879</td>\n",
+       "      <td>0.436078</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.489816</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.491120</td>\n",
+       "      <td>0.455302</td>\n",
+       "      <td>0.494270</td>\n",
+       "      <td>0.457972</td>\n",
+       "      <td>0.380347</td>\n",
+       "      <td>0.363920</td>\n",
+       "      <td>0.543790</td>\n",
+       "      <td>0.409436</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.634955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HD</th>\n",
+       "      <td>0.541530</td>\n",
+       "      <td>0.450279</td>\n",
+       "      <td>0.498054</td>\n",
+       "      <td>0.363652</td>\n",
+       "      <td>0.465854</td>\n",
+       "      <td>0.356067</td>\n",
+       "      <td>0.533370</td>\n",
+       "      <td>0.559862</td>\n",
+       "      <td>0.489816</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.637971</td>\n",
+       "      <td>0.580171</td>\n",
+       "      <td>0.455737</td>\n",
+       "      <td>0.547612</td>\n",
+       "      <td>0.540329</td>\n",
+       "      <td>0.496744</td>\n",
+       "      <td>0.653681</td>\n",
+       "      <td>0.565035</td>\n",
+       "      <td>0.489816</td>\n",
+       "      <td>0.469551</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FB</th>\n",
+       "      <td>0.457207</td>\n",
+       "      <td>0.436792</td>\n",
+       "      <td>0.483011</td>\n",
+       "      <td>0.468335</td>\n",
+       "      <td>0.327248</td>\n",
+       "      <td>0.462900</td>\n",
+       "      <td>0.556916</td>\n",
+       "      <td>0.347316</td>\n",
+       "      <td>0.354748</td>\n",
+       "      <td>0.476309</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.451528</td>\n",
+       "      <td>0.463039</td>\n",
+       "      <td>0.338963</td>\n",
+       "      <td>0.395071</td>\n",
+       "      <td>0.363871</td>\n",
+       "      <td>0.367420</td>\n",
+       "      <td>0.514883</td>\n",
+       "      <td>0.355301</td>\n",
+       "      <td>0.354748</td>\n",
+       "      <td>0.286661</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>0.646610</td>\n",
+       "      <td>0.543723</td>\n",
+       "      <td>0.605289</td>\n",
+       "      <td>0.542734</td>\n",
+       "      <td>0.480834</td>\n",
+       "      <td>0.513766</td>\n",
+       "      <td>0.679617</td>\n",
+       "      <td>0.493368</td>\n",
+       "      <td>0.491629</td>\n",
+       "      <td>0.619985</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.637154</td>\n",
+       "      <td>0.611672</td>\n",
+       "      <td>0.513232</td>\n",
+       "      <td>0.549118</td>\n",
+       "      <td>0.508484</td>\n",
+       "      <td>0.473321</td>\n",
+       "      <td>0.697806</td>\n",
+       "      <td>0.483476</td>\n",
+       "      <td>0.491629</td>\n",
+       "      <td>0.427397</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>WMT</th>\n",
+       "      <td>0.395824</td>\n",
+       "      <td>0.187869</td>\n",
+       "      <td>0.277678</td>\n",
+       "      <td>0.184256</td>\n",
+       "      <td>0.362778</td>\n",
+       "      <td>0.241783</td>\n",
+       "      <td>0.257522</td>\n",
+       "      <td>0.291778</td>\n",
+       "      <td>0.342883</td>\n",
+       "      <td>0.403235</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.324932</td>\n",
+       "      <td>0.396691</td>\n",
+       "      <td>0.394233</td>\n",
+       "      <td>0.329164</td>\n",
+       "      <td>0.312359</td>\n",
+       "      <td>0.344849</td>\n",
+       "      <td>0.357891</td>\n",
+       "      <td>0.214233</td>\n",
+       "      <td>0.342883</td>\n",
+       "      <td>0.353807</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>VZ</th>\n",
+       "      <td>0.386715</td>\n",
+       "      <td>0.139475</td>\n",
+       "      <td>0.207015</td>\n",
+       "      <td>0.157489</td>\n",
+       "      <td>0.420016</td>\n",
+       "      <td>0.130550</td>\n",
+       "      <td>0.223956</td>\n",
+       "      <td>0.384066</td>\n",
+       "      <td>0.422333</td>\n",
+       "      <td>0.407158</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.394041</td>\n",
+       "      <td>0.418823</td>\n",
+       "      <td>0.480680</td>\n",
+       "      <td>0.372922</td>\n",
+       "      <td>0.388611</td>\n",
+       "      <td>0.351349</td>\n",
+       "      <td>0.416289</td>\n",
+       "      <td>0.310807</td>\n",
+       "      <td>0.422008</td>\n",
+       "      <td>0.484183</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MCD</th>\n",
+       "      <td>-0.003641</td>\n",
+       "      <td>0.027750</td>\n",
+       "      <td>0.010322</td>\n",
+       "      <td>0.013460</td>\n",
+       "      <td>-0.032039</td>\n",
+       "      <td>-0.022146</td>\n",
+       "      <td>0.010757</td>\n",
+       "      <td>-0.054155</td>\n",
+       "      <td>-0.042996</td>\n",
+       "      <td>-0.009309</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.026979</td>\n",
+       "      <td>-0.042255</td>\n",
+       "      <td>-0.058079</td>\n",
+       "      <td>-0.003496</td>\n",
+       "      <td>-0.030284</td>\n",
+       "      <td>-0.067721</td>\n",
+       "      <td>-0.037804</td>\n",
+       "      <td>-0.026089</td>\n",
+       "      <td>-0.043673</td>\n",
+       "      <td>-0.072508</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SBUX</th>\n",
+       "      <td>0.526951</td>\n",
+       "      <td>0.390460</td>\n",
+       "      <td>0.384216</td>\n",
+       "      <td>0.346491</td>\n",
+       "      <td>0.399669</td>\n",
+       "      <td>0.285969</td>\n",
+       "      <td>0.456400</td>\n",
+       "      <td>0.495117</td>\n",
+       "      <td>0.480712</td>\n",
+       "      <td>0.600181</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.587104</td>\n",
+       "      <td>0.521748</td>\n",
+       "      <td>0.436940</td>\n",
+       "      <td>0.495134</td>\n",
+       "      <td>0.495364</td>\n",
+       "      <td>0.418371</td>\n",
+       "      <td>0.616191</td>\n",
+       "      <td>0.522496</td>\n",
+       "      <td>0.480909</td>\n",
+       "      <td>0.424887</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CLX</th>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.075670</td>\n",
+       "      <td>0.162118</td>\n",
+       "      <td>0.064958</td>\n",
+       "      <td>0.291965</td>\n",
+       "      <td>0.123945</td>\n",
+       "      <td>0.166157</td>\n",
+       "      <td>0.193186</td>\n",
+       "      <td>0.355846</td>\n",
+       "      <td>0.261454</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.233920</td>\n",
+       "      <td>0.266723</td>\n",
+       "      <td>0.369866</td>\n",
+       "      <td>0.214301</td>\n",
+       "      <td>0.215479</td>\n",
+       "      <td>0.236235</td>\n",
+       "      <td>0.276544</td>\n",
+       "      <td>0.132908</td>\n",
+       "      <td>0.356275</td>\n",
+       "      <td>0.408573</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COST</th>\n",
+       "      <td>0.426280</td>\n",
+       "      <td>0.292246</td>\n",
+       "      <td>0.358626</td>\n",
+       "      <td>0.265968</td>\n",
+       "      <td>0.403205</td>\n",
+       "      <td>0.311027</td>\n",
+       "      <td>0.363161</td>\n",
+       "      <td>0.381353</td>\n",
+       "      <td>0.379005</td>\n",
+       "      <td>0.505839</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.439098</td>\n",
+       "      <td>0.486854</td>\n",
+       "      <td>0.472736</td>\n",
+       "      <td>0.410483</td>\n",
+       "      <td>0.406834</td>\n",
+       "      <td>0.436928</td>\n",
+       "      <td>0.479576</td>\n",
+       "      <td>0.325553</td>\n",
+       "      <td>0.379260</td>\n",
+       "      <td>0.350427</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PSX</th>\n",
+       "      <td>0.469342</td>\n",
+       "      <td>0.352131</td>\n",
+       "      <td>0.337200</td>\n",
+       "      <td>0.326489</td>\n",
+       "      <td>0.391431</td>\n",
+       "      <td>0.208993</td>\n",
+       "      <td>0.362455</td>\n",
+       "      <td>0.571958</td>\n",
+       "      <td>0.369642</td>\n",
+       "      <td>0.479879</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.550833</td>\n",
+       "      <td>0.571133</td>\n",
+       "      <td>0.376043</td>\n",
+       "      <td>0.448549</td>\n",
+       "      <td>0.513460</td>\n",
+       "      <td>0.401974</td>\n",
+       "      <td>0.531838</td>\n",
+       "      <td>0.570767</td>\n",
+       "      <td>0.370054</td>\n",
+       "      <td>0.345528</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BLK</th>\n",
+       "      <td>0.574601</td>\n",
+       "      <td>0.431928</td>\n",
+       "      <td>0.480133</td>\n",
+       "      <td>0.453907</td>\n",
+       "      <td>0.499860</td>\n",
+       "      <td>0.339315</td>\n",
+       "      <td>0.515605</td>\n",
+       "      <td>0.629273</td>\n",
+       "      <td>0.491120</td>\n",
+       "      <td>0.637971</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.776158</td>\n",
+       "      <td>0.539930</td>\n",
+       "      <td>0.559991</td>\n",
+       "      <td>0.615458</td>\n",
+       "      <td>0.528537</td>\n",
+       "      <td>0.679808</td>\n",
+       "      <td>0.625953</td>\n",
+       "      <td>0.491559</td>\n",
+       "      <td>0.425750</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TROW</th>\n",
+       "      <td>0.618375</td>\n",
+       "      <td>0.409611</td>\n",
+       "      <td>0.445971</td>\n",
+       "      <td>0.409393</td>\n",
+       "      <td>0.528240</td>\n",
+       "      <td>0.328485</td>\n",
+       "      <td>0.481745</td>\n",
+       "      <td>0.636208</td>\n",
+       "      <td>0.455302</td>\n",
+       "      <td>0.580171</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.776158</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.512667</td>\n",
+       "      <td>0.514152</td>\n",
+       "      <td>0.606187</td>\n",
+       "      <td>0.578737</td>\n",
+       "      <td>0.636718</td>\n",
+       "      <td>0.532931</td>\n",
+       "      <td>0.455217</td>\n",
+       "      <td>0.377826</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>JNJ</th>\n",
+       "      <td>0.499836</td>\n",
+       "      <td>0.242860</td>\n",
+       "      <td>0.321436</td>\n",
+       "      <td>0.287651</td>\n",
+       "      <td>0.601188</td>\n",
+       "      <td>0.227223</td>\n",
+       "      <td>0.353272</td>\n",
+       "      <td>0.466839</td>\n",
+       "      <td>0.494270</td>\n",
+       "      <td>0.455737</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.539930</td>\n",
+       "      <td>0.512667</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.510207</td>\n",
+       "      <td>0.519309</td>\n",
+       "      <td>0.425231</td>\n",
+       "      <td>0.520004</td>\n",
+       "      <td>0.397181</td>\n",
+       "      <td>0.494477</td>\n",
+       "      <td>0.476430</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UNH</th>\n",
+       "      <td>0.462228</td>\n",
+       "      <td>0.378159</td>\n",
+       "      <td>0.409679</td>\n",
+       "      <td>0.319669</td>\n",
+       "      <td>0.506645</td>\n",
+       "      <td>0.333898</td>\n",
+       "      <td>0.415288</td>\n",
+       "      <td>0.505194</td>\n",
+       "      <td>0.457972</td>\n",
+       "      <td>0.547612</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.559991</td>\n",
+       "      <td>0.514152</td>\n",
+       "      <td>0.510207</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.483996</td>\n",
+       "      <td>0.425047</td>\n",
+       "      <td>0.526100</td>\n",
+       "      <td>0.488578</td>\n",
+       "      <td>0.458358</td>\n",
+       "      <td>0.439364</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MMM</th>\n",
+       "      <td>0.493810</td>\n",
+       "      <td>0.319524</td>\n",
+       "      <td>0.428520</td>\n",
+       "      <td>0.368989</td>\n",
+       "      <td>0.467451</td>\n",
+       "      <td>0.265286</td>\n",
+       "      <td>0.381264</td>\n",
+       "      <td>0.614054</td>\n",
+       "      <td>0.380347</td>\n",
+       "      <td>0.540329</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.615458</td>\n",
+       "      <td>0.606187</td>\n",
+       "      <td>0.519309</td>\n",
+       "      <td>0.483996</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.545729</td>\n",
+       "      <td>0.580649</td>\n",
+       "      <td>0.565495</td>\n",
+       "      <td>0.380817</td>\n",
+       "      <td>0.362916</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UPS</th>\n",
+       "      <td>0.487802</td>\n",
+       "      <td>0.333834</td>\n",
+       "      <td>0.394518</td>\n",
+       "      <td>0.345112</td>\n",
+       "      <td>0.418580</td>\n",
+       "      <td>0.298567</td>\n",
+       "      <td>0.360945</td>\n",
+       "      <td>0.491739</td>\n",
+       "      <td>0.363920</td>\n",
+       "      <td>0.496744</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.528537</td>\n",
+       "      <td>0.578737</td>\n",
+       "      <td>0.425231</td>\n",
+       "      <td>0.425047</td>\n",
+       "      <td>0.545729</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.496429</td>\n",
+       "      <td>0.449299</td>\n",
+       "      <td>0.364109</td>\n",
+       "      <td>0.326873</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ACN</th>\n",
+       "      <td>0.591072</td>\n",
+       "      <td>0.459690</td>\n",
+       "      <td>0.482080</td>\n",
+       "      <td>0.444501</td>\n",
+       "      <td>0.472509</td>\n",
+       "      <td>0.378506</td>\n",
+       "      <td>0.570354</td>\n",
+       "      <td>0.587317</td>\n",
+       "      <td>0.543790</td>\n",
+       "      <td>0.653681</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.679808</td>\n",
+       "      <td>0.636718</td>\n",
+       "      <td>0.520004</td>\n",
+       "      <td>0.526100</td>\n",
+       "      <td>0.580649</td>\n",
+       "      <td>0.496429</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.582935</td>\n",
+       "      <td>0.543947</td>\n",
+       "      <td>0.462775</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PPG</th>\n",
+       "      <td>0.465568</td>\n",
+       "      <td>0.371524</td>\n",
+       "      <td>0.381444</td>\n",
+       "      <td>0.384659</td>\n",
+       "      <td>0.392016</td>\n",
+       "      <td>0.232731</td>\n",
+       "      <td>0.395594</td>\n",
+       "      <td>0.581177</td>\n",
+       "      <td>0.409436</td>\n",
+       "      <td>0.565035</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.625953</td>\n",
+       "      <td>0.532931</td>\n",
+       "      <td>0.397181</td>\n",
+       "      <td>0.488578</td>\n",
+       "      <td>0.565495</td>\n",
+       "      <td>0.449299</td>\n",
+       "      <td>0.582935</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.410028</td>\n",
+       "      <td>0.337895</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.449187</td>\n",
+       "      <td>0.308885</td>\n",
+       "      <td>0.317052</td>\n",
+       "      <td>0.260417</td>\n",
+       "      <td>0.423415</td>\n",
+       "      <td>0.221568</td>\n",
+       "      <td>0.385879</td>\n",
+       "      <td>0.436078</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.489816</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.491559</td>\n",
+       "      <td>0.455217</td>\n",
+       "      <td>0.494477</td>\n",
+       "      <td>0.458358</td>\n",
+       "      <td>0.380817</td>\n",
+       "      <td>0.364109</td>\n",
+       "      <td>0.543947</td>\n",
+       "      <td>0.410028</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.635249</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NEE</th>\n",
+       "      <td>0.396957</td>\n",
+       "      <td>0.277866</td>\n",
+       "      <td>0.273752</td>\n",
+       "      <td>0.164492</td>\n",
+       "      <td>0.401200</td>\n",
+       "      <td>0.143194</td>\n",
+       "      <td>0.296409</td>\n",
+       "      <td>0.421907</td>\n",
+       "      <td>0.634955</td>\n",
+       "      <td>0.469551</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.425750</td>\n",
+       "      <td>0.377826</td>\n",
+       "      <td>0.476430</td>\n",
+       "      <td>0.439364</td>\n",
+       "      <td>0.362916</td>\n",
+       "      <td>0.326873</td>\n",
+       "      <td>0.462775</td>\n",
+       "      <td>0.337895</td>\n",
+       "      <td>0.635249</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>29 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          ORCL        SQ      NVDA      BABA       PFE      NFLX       CRM  \\\n",
+       "ORCL  1.000000  0.386744  0.441040  0.401531  0.489490  0.369383  0.519998   \n",
+       "SQ    0.386744  1.000000  0.497101  0.435190  0.266796  0.406201  0.522451   \n",
+       "NVDA  0.441040  0.497101  1.000000  0.511186  0.302716  0.434059  0.518649   \n",
+       "BABA  0.401531  0.435190  0.511186  1.000000  0.277702  0.418695  0.458691   \n",
+       "PFE   0.489490  0.266796  0.302716  0.277702  1.000000  0.241524  0.340086   \n",
+       "NFLX  0.369383  0.406201  0.434059  0.418695  0.241524  1.000000  0.505363   \n",
+       "CRM   0.519998  0.522451  0.518649  0.458691  0.340086  0.505363  1.000000   \n",
+       "GD    0.490317  0.352647  0.380077  0.353640  0.465807  0.265991  0.390874   \n",
+       "AMT   0.449187  0.308885  0.317052  0.260417  0.423415  0.221568  0.385879   \n",
+       "HD    0.541530  0.450279  0.498054  0.363652  0.465854  0.356067  0.533370   \n",
+       "FB    0.457207  0.436792  0.483011  0.468335  0.327248  0.462900  0.556916   \n",
+       "MSFT  0.646610  0.543723  0.605289  0.542734  0.480834  0.513766  0.679617   \n",
+       "WMT   0.395824  0.187869  0.277678  0.184256  0.362778  0.241783  0.257522   \n",
+       "VZ    0.386715  0.139475  0.207015  0.157489  0.420016  0.130550  0.223956   \n",
+       "MCD  -0.003641  0.027750  0.010322  0.013460 -0.032039 -0.022146  0.010757   \n",
+       "SBUX  0.526951  0.390460  0.384216  0.346491  0.399669  0.285969  0.456400   \n",
+       "CLX   0.260417  0.075670  0.162118  0.064958  0.291965  0.123945  0.166157   \n",
+       "COST  0.426280  0.292246  0.358626  0.265968  0.403205  0.311027  0.363161   \n",
+       "PSX   0.469342  0.352131  0.337200  0.326489  0.391431  0.208993  0.362455   \n",
+       "BLK   0.574601  0.431928  0.480133  0.453907  0.499860  0.339315  0.515605   \n",
+       "TROW  0.618375  0.409611  0.445971  0.409393  0.528240  0.328485  0.481745   \n",
+       "JNJ   0.499836  0.242860  0.321436  0.287651  0.601188  0.227223  0.353272   \n",
+       "UNH   0.462228  0.378159  0.409679  0.319669  0.506645  0.333898  0.415288   \n",
+       "MMM   0.493810  0.319524  0.428520  0.368989  0.467451  0.265286  0.381264   \n",
+       "UPS   0.487802  0.333834  0.394518  0.345112  0.418580  0.298567  0.360945   \n",
+       "ACN   0.591072  0.459690  0.482080  0.444501  0.472509  0.378506  0.570354   \n",
+       "PPG   0.465568  0.371524  0.381444  0.384659  0.392016  0.232731  0.395594   \n",
+       "AMT   0.449187  0.308885  0.317052  0.260417  0.423415  0.221568  0.385879   \n",
+       "NEE   0.396957  0.277866  0.273752  0.164492  0.401200  0.143194  0.296409   \n",
+       "\n",
+       "            GD       AMT        HD  ...       BLK      TROW       JNJ  \\\n",
+       "ORCL  0.490317  0.449187  0.541530  ...  0.574601  0.618375  0.499836   \n",
+       "SQ    0.352647  0.308885  0.450279  ...  0.431928  0.409611  0.242860   \n",
+       "NVDA  0.380077  0.317052  0.498054  ...  0.480133  0.445971  0.321436   \n",
+       "BABA  0.353640  0.260417  0.363652  ...  0.453907  0.409393  0.287651   \n",
+       "PFE   0.465807  0.423415  0.465854  ...  0.499860  0.528240  0.601188   \n",
+       "NFLX  0.265991  0.221568  0.356067  ...  0.339315  0.328485  0.227223   \n",
+       "CRM   0.390874  0.385879  0.533370  ...  0.515605  0.481745  0.353272   \n",
+       "GD    1.000000  0.436078  0.559862  ...  0.629273  0.636208  0.466839   \n",
+       "AMT   0.436078  1.000000  0.489816  ...  0.491120  0.455302  0.494270   \n",
+       "HD    0.559862  0.489816  1.000000  ...  0.637971  0.580171  0.455737   \n",
+       "FB    0.347316  0.354748  0.476309  ...  0.451528  0.463039  0.338963   \n",
+       "MSFT  0.493368  0.491629  0.619985  ...  0.637154  0.611672  0.513232   \n",
+       "WMT   0.291778  0.342883  0.403235  ...  0.324932  0.396691  0.394233   \n",
+       "VZ    0.384066  0.422333  0.407158  ...  0.394041  0.418823  0.480680   \n",
+       "MCD  -0.054155 -0.042996 -0.009309  ... -0.026979 -0.042255 -0.058079   \n",
+       "SBUX  0.495117  0.480712  0.600181  ...  0.587104  0.521748  0.436940   \n",
+       "CLX   0.193186  0.355846  0.261454  ...  0.233920  0.266723  0.369866   \n",
+       "COST  0.381353  0.379005  0.505839  ...  0.439098  0.486854  0.472736   \n",
+       "PSX   0.571958  0.369642  0.479879  ...  0.550833  0.571133  0.376043   \n",
+       "BLK   0.629273  0.491120  0.637971  ...  1.000000  0.776158  0.539930   \n",
+       "TROW  0.636208  0.455302  0.580171  ...  0.776158  1.000000  0.512667   \n",
+       "JNJ   0.466839  0.494270  0.455737  ...  0.539930  0.512667  1.000000   \n",
+       "UNH   0.505194  0.457972  0.547612  ...  0.559991  0.514152  0.510207   \n",
+       "MMM   0.614054  0.380347  0.540329  ...  0.615458  0.606187  0.519309   \n",
+       "UPS   0.491739  0.363920  0.496744  ...  0.528537  0.578737  0.425231   \n",
+       "ACN   0.587317  0.543790  0.653681  ...  0.679808  0.636718  0.520004   \n",
+       "PPG   0.581177  0.409436  0.565035  ...  0.625953  0.532931  0.397181   \n",
+       "AMT   0.436078  1.000000  0.489816  ...  0.491559  0.455217  0.494477   \n",
+       "NEE   0.421907  0.634955  0.469551  ...  0.425750  0.377826  0.476430   \n",
+       "\n",
+       "           UNH       MMM       UPS       ACN       PPG       AMT       NEE  \n",
+       "ORCL  0.462228  0.493810  0.487802  0.591072  0.465568  0.449187  0.396957  \n",
+       "SQ    0.378159  0.319524  0.333834  0.459690  0.371524  0.308885  0.277866  \n",
+       "NVDA  0.409679  0.428520  0.394518  0.482080  0.381444  0.317052  0.273752  \n",
+       "BABA  0.319669  0.368989  0.345112  0.444501  0.384659  0.260417  0.164492  \n",
+       "PFE   0.506645  0.467451  0.418580  0.472509  0.392016  0.423415  0.401200  \n",
+       "NFLX  0.333898  0.265286  0.298567  0.378506  0.232731  0.221568  0.143194  \n",
+       "CRM   0.415288  0.381264  0.360945  0.570354  0.395594  0.385879  0.296409  \n",
+       "GD    0.505194  0.614054  0.491739  0.587317  0.581177  0.436078  0.421907  \n",
+       "AMT   0.457972  0.380347  0.363920  0.543790  0.409436  1.000000  0.634955  \n",
+       "HD    0.547612  0.540329  0.496744  0.653681  0.565035  0.489816  0.469551  \n",
+       "FB    0.395071  0.363871  0.367420  0.514883  0.355301  0.354748  0.286661  \n",
+       "MSFT  0.549118  0.508484  0.473321  0.697806  0.483476  0.491629  0.427397  \n",
+       "WMT   0.329164  0.312359  0.344849  0.357891  0.214233  0.342883  0.353807  \n",
+       "VZ    0.372922  0.388611  0.351349  0.416289  0.310807  0.422008  0.484183  \n",
+       "MCD  -0.003496 -0.030284 -0.067721 -0.037804 -0.026089 -0.043673 -0.072508  \n",
+       "SBUX  0.495134  0.495364  0.418371  0.616191  0.522496  0.480909  0.424887  \n",
+       "CLX   0.214301  0.215479  0.236235  0.276544  0.132908  0.356275  0.408573  \n",
+       "COST  0.410483  0.406834  0.436928  0.479576  0.325553  0.379260  0.350427  \n",
+       "PSX   0.448549  0.513460  0.401974  0.531838  0.570767  0.370054  0.345528  \n",
+       "BLK   0.559991  0.615458  0.528537  0.679808  0.625953  0.491559  0.425750  \n",
+       "TROW  0.514152  0.606187  0.578737  0.636718  0.532931  0.455217  0.377826  \n",
+       "JNJ   0.510207  0.519309  0.425231  0.520004  0.397181  0.494477  0.476430  \n",
+       "UNH   1.000000  0.483996  0.425047  0.526100  0.488578  0.458358  0.439364  \n",
+       "MMM   0.483996  1.000000  0.545729  0.580649  0.565495  0.380817  0.362916  \n",
+       "UPS   0.425047  0.545729  1.000000  0.496429  0.449299  0.364109  0.326873  \n",
+       "ACN   0.526100  0.580649  0.496429  1.000000  0.582935  0.543947  0.462775  \n",
+       "PPG   0.488578  0.565495  0.449299  0.582935  1.000000  0.410028  0.337895  \n",
+       "AMT   0.458358  0.380817  0.364109  0.543947  0.410028  1.000000  0.635249  \n",
+       "NEE   0.439364  0.362916  0.326873  0.462775  0.337895  0.635249  1.000000  \n",
+       "\n",
+       "[29 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Here we are deciphering the correlation of the stocks amongst themselves.\n",
+    "correlation_of_all_potential_stocks = portfolio_daily.corr()\n",
+    "correlation_of_all_potential_stocks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#We are using a heat map to quickly see if there are any noteable correlations that we should be concerned about.\n",
+    "sns.heatmap(correlation_of_all_potential_stocks);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Clean the data for the S&P 500"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Open</th>\n",
+       "      <th>High</th>\n",
+       "      <th>Low</th>\n",
+       "      <th>Close</th>\n",
+       "      <th>Adj Close</th>\n",
+       "      <th>Volume</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>1921.770020</td>\n",
+       "      <td>1951.359985</td>\n",
+       "      <td>1893.699951</td>\n",
+       "      <td>1951.359985</td>\n",
+       "      <td>1951.359985</td>\n",
+       "      <td>4378570000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>1954.329956</td>\n",
+       "      <td>1989.170044</td>\n",
+       "      <td>1954.329956</td>\n",
+       "      <td>1987.050049</td>\n",
+       "      <td>1987.050049</td>\n",
+       "      <td>4334490000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>1986.630005</td>\n",
+       "      <td>1991.619995</td>\n",
+       "      <td>1971.989990</td>\n",
+       "      <td>1979.920044</td>\n",
+       "      <td>1979.920044</td>\n",
+       "      <td>4202400000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>1982.339966</td>\n",
+       "      <td>1999.310059</td>\n",
+       "      <td>1976.439941</td>\n",
+       "      <td>1995.829956</td>\n",
+       "      <td>1995.829956</td>\n",
+       "      <td>4666470000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-08</th>\n",
+       "      <td>1994.010010</td>\n",
+       "      <td>2016.500000</td>\n",
+       "      <td>1987.530029</td>\n",
+       "      <td>2013.430054</td>\n",
+       "      <td>2013.430054</td>\n",
+       "      <td>3939140000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3236.659912</td>\n",
+       "      <td>3306.879883</td>\n",
+       "      <td>3228.439941</td>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>3792220000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3333.899902</td>\n",
+       "      <td>3360.739990</td>\n",
+       "      <td>3332.909912</td>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>3946060000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3350.919922</td>\n",
+       "      <td>3357.919922</td>\n",
+       "      <td>3327.540039</td>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>3651880000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3341.209961</td>\n",
+       "      <td>3393.560059</td>\n",
+       "      <td>3340.469971</td>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>4722530000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3385.870117</td>\n",
+       "      <td>3397.179932</td>\n",
+       "      <td>3361.389893</td>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>4070530000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1259 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   Open         High          Low        Close    Adj Close  \\\n",
+       "Date                                                                          \n",
+       "2015-10-02  1921.770020  1951.359985  1893.699951  1951.359985  1951.359985   \n",
+       "2015-10-05  1954.329956  1989.170044  1954.329956  1987.050049  1987.050049   \n",
+       "2015-10-06  1986.630005  1991.619995  1971.989990  1979.920044  1979.920044   \n",
+       "2015-10-07  1982.339966  1999.310059  1976.439941  1995.829956  1995.829956   \n",
+       "2015-10-08  1994.010010  2016.500000  1987.530029  2013.430054  2013.430054   \n",
+       "...                 ...          ...          ...          ...          ...   \n",
+       "2020-09-25  3236.659912  3306.879883  3228.439941  3298.459961  3298.459961   \n",
+       "2020-09-28  3333.899902  3360.739990  3332.909912  3351.600098  3351.600098   \n",
+       "2020-09-29  3350.919922  3357.919922  3327.540039  3335.469971  3335.469971   \n",
+       "2020-09-30  3341.209961  3393.560059  3340.469971  3363.000000  3363.000000   \n",
+       "2020-10-01  3385.870117  3397.179932  3361.389893  3380.800049  3380.800049   \n",
+       "\n",
+       "                Volume  \n",
+       "Date                    \n",
+       "2015-10-02  4378570000  \n",
+       "2015-10-05  4334490000  \n",
+       "2015-10-06  4202400000  \n",
+       "2015-10-07  4666470000  \n",
+       "2015-10-08  3939140000  \n",
+       "...                ...  \n",
+       "2020-09-25  3792220000  \n",
+       "2020-09-28  3946060000  \n",
+       "2020-09-29  3651880000  \n",
+       "2020-09-30  4722530000  \n",
+       "2020-10-01  4070530000  \n",
+       "\n",
+       "[1259 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Reading csv files \n",
+    "SP500_data = Path(\"../CSVs/SP500.csv\")\n",
+    "\n",
+    "raw_portfolio_data = Path(\"../CSVs/raw_portfolio.csv\")\n",
+    "# Reading csv as df\n",
+    "\n",
+    "SP500_df = pd.read_csv(SP500_data,index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n",
+    "raw_portfolio_data = pd.read_csv(raw_portfolio_data, index_col=0, parse_dates=True, infer_datetime_format=True)\n",
+    "SP500_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Close</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-10-02</th>\n",
+       "      <td>1951.359985</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-05</th>\n",
+       "      <td>1987.050049</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-06</th>\n",
+       "      <td>1979.920044</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-07</th>\n",
+       "      <td>1995.829956</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-10-08</th>\n",
+       "      <td>2013.430054</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1259 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  Close\n",
+       "Date                   \n",
+       "2015-10-02  1951.359985\n",
+       "2015-10-05  1987.050049\n",
+       "2015-10-06  1979.920044\n",
+       "2015-10-07  1995.829956\n",
+       "2015-10-08  2013.430054\n",
+       "...                 ...\n",
+       "2020-09-25  3298.459961\n",
+       "2020-09-28  3351.600098\n",
+       "2020-09-29  3335.469971\n",
+       "2020-09-30  3363.000000\n",
+       "2020-10-01  3380.800049\n",
+       "\n",
+       "[1259 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Dropping columns that are not needed\n",
+    "SP500_close_data= SP500_df.drop(columns=[\"Open\",\"High\",\"Low\",\"Adj Close\", \"Volume\"])\n",
+    "\n",
+    "SP500_close_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Here we saved the output of the dataframe into a csv file for later uses \n",
+    "\n",
+    "\n",
+    "    #SP500_close_data.to_csv(r'SP500_close_data.csv', index=True, header=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Combining S&P data with the portfolio containing all our stock picks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Close</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.38</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>102.49</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>158.38</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.28</td>\n",
+       "      <td>103.37</td>\n",
+       "      <td>100.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>...</td>\n",
+       "      <td>91.67</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>102.48</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>158.95</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>104.62</td>\n",
+       "      <td>101.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.17</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>102.77</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>158.65</td>\n",
+       "      <td>103.59</td>\n",
+       "      <td>107.84</td>\n",
+       "      <td>105.47</td>\n",
+       "      <td>100.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>...</td>\n",
+       "      <td>93.13</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>102.04</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>157.75</td>\n",
+       "      <td>103.40</td>\n",
+       "      <td>107.35</td>\n",
+       "      <td>105.49</td>\n",
+       "      <td>99.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.77</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>101.96</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>157.63</td>\n",
+       "      <td>103.49</td>\n",
+       "      <td>107.10</td>\n",
+       "      <td>106.46</td>\n",
+       "      <td>98.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>138.210007</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>140.919998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>...</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>138.550003</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>138.429993</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>...</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>138.220001</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>...</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  Close       ORCL          SQ        NVDA        BABA  \\\n",
+       "2015-11-19  2081.239990  36.108597   13.070000   30.458263   77.870003   \n",
+       "2015-11-20  2089.169922  36.404728   12.850000   30.722525   79.949997   \n",
+       "2015-11-23  2086.590088  36.219639   12.120000   30.262524   81.309998   \n",
+       "2015-11-24  2089.139893  36.515770   12.020000   30.507206   80.860001   \n",
+       "2015-11-25  2088.870117  36.330700   11.900000   30.468054   81.709999   \n",
+       "...                 ...        ...         ...         ...         ...   \n",
+       "2020-09-25  3298.459961  59.799999  157.720001  514.950012  271.089996   \n",
+       "2020-09-28  3351.600098  59.580002  160.759995  521.400024  276.010010   \n",
+       "2020-09-29  3335.469971  59.470001  164.809998  529.030029  276.929993   \n",
+       "2020-09-30  3363.000000  59.700001  162.550003  541.219971  293.980011   \n",
+       "2020-10-01  3380.800049  59.680000  168.490005  544.580017  290.049988   \n",
+       "\n",
+       "                  PFE        NFLX         CRM          GD     AMT  ...    PSX  \\\n",
+       "2015-11-19  27.049994  120.220001   80.639999  130.626297   99.63  ...  92.38   \n",
+       "2015-11-20  26.957846  123.839996   80.989998  130.896194  100.49  ...  91.67   \n",
+       "2015-11-23  26.245783  125.029999   80.779999  130.077530   99.94  ...  92.17   \n",
+       "2015-11-24  26.781923  123.309998   80.389999  130.923172   99.26  ...  93.13   \n",
+       "2015-11-25  27.535873  124.160004   80.410004  130.608292   99.09  ...  92.77   \n",
+       "...               ...         ...         ...         ...     ...  ...    ...   \n",
+       "2020-09-25  36.049999  482.880005  242.740005  138.210007  239.81  ...  52.88   \n",
+       "2020-09-28  36.389999  490.649994  246.669998  140.919998  240.00  ...  53.98   \n",
+       "2020-09-29  36.169998  493.480011  247.449997  138.550003  240.12  ...  52.19   \n",
+       "2020-09-30  36.700001  500.029999  251.320007  138.429993  241.73  ...  51.84   \n",
+       "2020-10-01  36.369999  527.510010  253.449997  138.220001  242.15  ...  50.28   \n",
+       "\n",
+       "               BLK    TROW     JNJ     UNH     MMM     UPS     ACN     PPG  \\\n",
+       "2015-11-19  359.09   76.38  102.49  110.63  158.38  104.10  107.28  103.37   \n",
+       "2015-11-20  362.46   76.37  102.48  112.97  158.95  104.10  107.97  104.62   \n",
+       "2015-11-23  363.25   76.15  102.77  112.16  158.65  103.59  107.84  105.47   \n",
+       "2015-11-24  356.81   75.62  102.04  113.19  157.75  103.40  107.35  105.49   \n",
+       "2015-11-25  360.62   76.01  101.96  114.41  157.63  103.49  107.10  106.46   \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...   \n",
+       "2020-09-25  547.81  125.22  145.66  302.50  160.27  166.12  214.63  120.25   \n",
+       "2020-09-28  558.65  128.55  147.11  303.23  161.66  168.90  222.78  121.74   \n",
+       "2020-09-29  554.80  127.49  147.06  304.15  159.81  168.50  224.08  120.33   \n",
+       "2020-09-30  563.55  128.22  148.88  311.77  160.18  166.63  225.99  122.08   \n",
+       "2020-10-01  567.91  128.04  147.32  313.07  158.79  167.65  225.18  121.78   \n",
+       "\n",
+       "               NEE  \n",
+       "2015-11-19  100.99  \n",
+       "2015-11-20  101.02  \n",
+       "2015-11-23  100.49  \n",
+       "2015-11-24   99.41  \n",
+       "2015-11-25   98.88  \n",
+       "...            ...  \n",
+       "2020-09-25  281.82  \n",
+       "2020-09-28  284.14  \n",
+       "2020-09-29  283.12  \n",
+       "2020-09-30  277.56  \n",
+       "2020-10-01  282.76  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Now we will conacat the Newly Created SP500 DataFrame with the combined_2 Dataframe\n",
+    "\n",
+    "SP500_and_general_stock_picks = pd.concat([SP500_close_data, raw_portfolio_data], axis='columns', join='outer')\n",
+    "\n",
+    "SP500_and_general_stock_picks.dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.38</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>102.49</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>158.38</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.28</td>\n",
+       "      <td>103.37</td>\n",
+       "      <td>100.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>...</td>\n",
+       "      <td>91.67</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>102.48</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>158.95</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>104.62</td>\n",
+       "      <td>101.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.17</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>102.77</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>158.65</td>\n",
+       "      <td>103.59</td>\n",
+       "      <td>107.84</td>\n",
+       "      <td>105.47</td>\n",
+       "      <td>100.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>...</td>\n",
+       "      <td>93.13</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>102.04</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>157.75</td>\n",
+       "      <td>103.40</td>\n",
+       "      <td>107.35</td>\n",
+       "      <td>105.49</td>\n",
+       "      <td>99.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.77</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>101.96</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>157.63</td>\n",
+       "      <td>103.49</td>\n",
+       "      <td>107.10</td>\n",
+       "      <td>106.46</td>\n",
+       "      <td>98.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>138.210007</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>140.919998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>...</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>138.550003</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>138.429993</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>...</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>138.220001</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>...</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  SP500       ORCL          SQ        NVDA        BABA  \\\n",
+       "2015-11-19  2081.239990  36.108597   13.070000   30.458263   77.870003   \n",
+       "2015-11-20  2089.169922  36.404728   12.850000   30.722525   79.949997   \n",
+       "2015-11-23  2086.590088  36.219639   12.120000   30.262524   81.309998   \n",
+       "2015-11-24  2089.139893  36.515770   12.020000   30.507206   80.860001   \n",
+       "2015-11-25  2088.870117  36.330700   11.900000   30.468054   81.709999   \n",
+       "...                 ...        ...         ...         ...         ...   \n",
+       "2020-09-25  3298.459961  59.799999  157.720001  514.950012  271.089996   \n",
+       "2020-09-28  3351.600098  59.580002  160.759995  521.400024  276.010010   \n",
+       "2020-09-29  3335.469971  59.470001  164.809998  529.030029  276.929993   \n",
+       "2020-09-30  3363.000000  59.700001  162.550003  541.219971  293.980011   \n",
+       "2020-10-01  3380.800049  59.680000  168.490005  544.580017  290.049988   \n",
+       "\n",
+       "                  PFE        NFLX         CRM          GD     AMT  ...    PSX  \\\n",
+       "2015-11-19  27.049994  120.220001   80.639999  130.626297   99.63  ...  92.38   \n",
+       "2015-11-20  26.957846  123.839996   80.989998  130.896194  100.49  ...  91.67   \n",
+       "2015-11-23  26.245783  125.029999   80.779999  130.077530   99.94  ...  92.17   \n",
+       "2015-11-24  26.781923  123.309998   80.389999  130.923172   99.26  ...  93.13   \n",
+       "2015-11-25  27.535873  124.160004   80.410004  130.608292   99.09  ...  92.77   \n",
+       "...               ...         ...         ...         ...     ...  ...    ...   \n",
+       "2020-09-25  36.049999  482.880005  242.740005  138.210007  239.81  ...  52.88   \n",
+       "2020-09-28  36.389999  490.649994  246.669998  140.919998  240.00  ...  53.98   \n",
+       "2020-09-29  36.169998  493.480011  247.449997  138.550003  240.12  ...  52.19   \n",
+       "2020-09-30  36.700001  500.029999  251.320007  138.429993  241.73  ...  51.84   \n",
+       "2020-10-01  36.369999  527.510010  253.449997  138.220001  242.15  ...  50.28   \n",
+       "\n",
+       "               BLK    TROW     JNJ     UNH     MMM     UPS     ACN     PPG  \\\n",
+       "2015-11-19  359.09   76.38  102.49  110.63  158.38  104.10  107.28  103.37   \n",
+       "2015-11-20  362.46   76.37  102.48  112.97  158.95  104.10  107.97  104.62   \n",
+       "2015-11-23  363.25   76.15  102.77  112.16  158.65  103.59  107.84  105.47   \n",
+       "2015-11-24  356.81   75.62  102.04  113.19  157.75  103.40  107.35  105.49   \n",
+       "2015-11-25  360.62   76.01  101.96  114.41  157.63  103.49  107.10  106.46   \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...   \n",
+       "2020-09-25  547.81  125.22  145.66  302.50  160.27  166.12  214.63  120.25   \n",
+       "2020-09-28  558.65  128.55  147.11  303.23  161.66  168.90  222.78  121.74   \n",
+       "2020-09-29  554.80  127.49  147.06  304.15  159.81  168.50  224.08  120.33   \n",
+       "2020-09-30  563.55  128.22  148.88  311.77  160.18  166.63  225.99  122.08   \n",
+       "2020-10-01  567.91  128.04  147.32  313.07  158.79  167.65  225.18  121.78   \n",
+       "\n",
+       "               NEE  \n",
+       "2015-11-19  100.99  \n",
+       "2015-11-20  101.02  \n",
+       "2015-11-23  100.49  \n",
+       "2015-11-24   99.41  \n",
+       "2015-11-25   98.88  \n",
+       "...            ...  \n",
+       "2020-09-25  281.82  \n",
+       "2020-09-28  284.14  \n",
+       "2020-09-29  283.12  \n",
+       "2020-09-30  277.56  \n",
+       "2020-10-01  282.76  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Fixing the df column so that it reads SP500 instead of Close\n",
+    "column_names = SP500_and_general_stock_picks.columns.values\n",
+    "column_names[0] = 'SP500'\n",
+    "SP500_and_general_stock_picks.columns = column_names\n",
+    "\n",
+    "\n",
+    "SP500_and_general_stock_picks.dropna(inplace=True)\n",
+    "\n",
+    "SP500_and_general_stock_picks"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# General Calculations of the newly created DataFrame"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculating Daily Returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.002066</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.007686</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>-0.000098</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.003599</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.006432</td>\n",
+       "      <td>0.012092</td>\n",
+       "      <td>0.000297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.006254</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.005454</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>0.002830</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>-0.001887</td>\n",
+       "      <td>-0.004899</td>\n",
+       "      <td>-0.001204</td>\n",
+       "      <td>0.008125</td>\n",
+       "      <td>-0.005246</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>0.006501</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.010416</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>-0.007103</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>-0.005673</td>\n",
+       "      <td>-0.001834</td>\n",
+       "      <td>-0.004544</td>\n",
+       "      <td>0.000190</td>\n",
+       "      <td>-0.010747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.002405</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.003866</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>-0.000784</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>-0.000761</td>\n",
+       "      <td>0.000870</td>\n",
+       "      <td>-0.002329</td>\n",
+       "      <td>0.009195</td>\n",
+       "      <td>-0.005331</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.002617</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.000108</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>0.004021</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>0.002284</td>\n",
+       "      <td>0.006667</td>\n",
+       "      <td>0.003361</td>\n",
+       "      <td>-0.002348</td>\n",
+       "      <td>0.004956</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.015977</td>\n",
+       "      <td>0.008432</td>\n",
+       "      <td>0.035520</td>\n",
+       "      <td>0.042578</td>\n",
+       "      <td>0.005042</td>\n",
+       "      <td>0.008110</td>\n",
+       "      <td>0.020715</td>\n",
+       "      <td>0.021848</td>\n",
+       "      <td>0.009569</td>\n",
+       "      <td>0.015370</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000568</td>\n",
+       "      <td>0.023848</td>\n",
+       "      <td>0.014502</td>\n",
+       "      <td>0.006843</td>\n",
+       "      <td>0.033623</td>\n",
+       "      <td>-0.000935</td>\n",
+       "      <td>0.035596</td>\n",
+       "      <td>0.000979</td>\n",
+       "      <td>0.010929</td>\n",
+       "      <td>0.015421</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.016111</td>\n",
+       "      <td>-0.003679</td>\n",
+       "      <td>0.019275</td>\n",
+       "      <td>0.012526</td>\n",
+       "      <td>0.018149</td>\n",
+       "      <td>0.009431</td>\n",
+       "      <td>0.016091</td>\n",
+       "      <td>0.016190</td>\n",
+       "      <td>0.019608</td>\n",
+       "      <td>0.000792</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.020802</td>\n",
+       "      <td>0.019788</td>\n",
+       "      <td>0.026593</td>\n",
+       "      <td>0.009955</td>\n",
+       "      <td>0.002413</td>\n",
+       "      <td>0.008673</td>\n",
+       "      <td>0.016735</td>\n",
+       "      <td>0.037972</td>\n",
+       "      <td>0.012391</td>\n",
+       "      <td>0.008232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.004813</td>\n",
+       "      <td>-0.001846</td>\n",
+       "      <td>0.025193</td>\n",
+       "      <td>0.014634</td>\n",
+       "      <td>0.003333</td>\n",
+       "      <td>-0.006046</td>\n",
+       "      <td>0.005768</td>\n",
+       "      <td>0.003162</td>\n",
+       "      <td>-0.016818</td>\n",
+       "      <td>0.000500</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.033160</td>\n",
+       "      <td>-0.006892</td>\n",
+       "      <td>-0.008246</td>\n",
+       "      <td>-0.000340</td>\n",
+       "      <td>0.003034</td>\n",
+       "      <td>-0.011444</td>\n",
+       "      <td>-0.002368</td>\n",
+       "      <td>0.005835</td>\n",
+       "      <td>-0.011582</td>\n",
+       "      <td>-0.003590</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.008254</td>\n",
+       "      <td>0.003867</td>\n",
+       "      <td>-0.013713</td>\n",
+       "      <td>0.023042</td>\n",
+       "      <td>0.061568</td>\n",
+       "      <td>0.014653</td>\n",
+       "      <td>0.013273</td>\n",
+       "      <td>0.015640</td>\n",
+       "      <td>-0.000866</td>\n",
+       "      <td>0.006705</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.006706</td>\n",
+       "      <td>0.015771</td>\n",
+       "      <td>0.005726</td>\n",
+       "      <td>0.012376</td>\n",
+       "      <td>0.025053</td>\n",
+       "      <td>0.002315</td>\n",
+       "      <td>-0.011098</td>\n",
+       "      <td>0.008524</td>\n",
+       "      <td>0.014543</td>\n",
+       "      <td>-0.019638</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.005293</td>\n",
+       "      <td>-0.000335</td>\n",
+       "      <td>0.036543</td>\n",
+       "      <td>0.006208</td>\n",
+       "      <td>-0.013368</td>\n",
+       "      <td>-0.008992</td>\n",
+       "      <td>0.054957</td>\n",
+       "      <td>0.008475</td>\n",
+       "      <td>-0.001517</td>\n",
+       "      <td>0.001737</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.030093</td>\n",
+       "      <td>0.007737</td>\n",
+       "      <td>-0.001404</td>\n",
+       "      <td>-0.010478</td>\n",
+       "      <td>0.004170</td>\n",
+       "      <td>-0.008678</td>\n",
+       "      <td>0.006121</td>\n",
+       "      <td>-0.003584</td>\n",
+       "      <td>-0.002457</td>\n",
+       "      <td>0.018735</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500      ORCL        SQ      NVDA      BABA       PFE  \\\n",
+       "2015-11-20  0.003810  0.008201 -0.016832  0.008676  0.026711 -0.003407   \n",
+       "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973  0.017011 -0.026414   \n",
+       "2015-11-24  0.001222  0.008176 -0.008251  0.008085 -0.005534  0.020428   \n",
+       "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283  0.010512  0.028151   \n",
+       "2015-11-27  0.000594 -0.002038  0.012605  0.008352 -0.004039 -0.002434   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.015977  0.008432  0.035520  0.042578  0.005042  0.008110   \n",
+       "2020-09-28  0.016111 -0.003679  0.019275  0.012526  0.018149  0.009431   \n",
+       "2020-09-29 -0.004813 -0.001846  0.025193  0.014634  0.003333 -0.006046   \n",
+       "2020-09-30  0.008254  0.003867 -0.013713  0.023042  0.061568  0.014653   \n",
+       "2020-10-01  0.005293 -0.000335  0.036543  0.006208 -0.013368 -0.008992   \n",
+       "\n",
+       "                NFLX       CRM        GD       AMT  ...       PSX       BLK  \\\n",
+       "2015-11-20  0.030111  0.004340  0.002066  0.008632  ... -0.007686  0.009385   \n",
+       "2015-11-23  0.009609 -0.002593 -0.006254 -0.005473  ...  0.005454  0.002180   \n",
+       "2015-11-24 -0.013757 -0.004828  0.006501 -0.006804  ...  0.010416 -0.017729   \n",
+       "2015-11-25  0.006893  0.000249 -0.002405 -0.001713  ... -0.003866  0.010678   \n",
+       "2015-11-27  0.010309 -0.005472  0.002617  0.005954  ... -0.000108 -0.006184   \n",
+       "...              ...       ...       ...       ...  ...       ...       ...   \n",
+       "2020-09-25  0.020715  0.021848  0.009569  0.015370  ...  0.000568  0.023848   \n",
+       "2020-09-28  0.016091  0.016190  0.019608  0.000792  ...  0.020802  0.019788   \n",
+       "2020-09-29  0.005768  0.003162 -0.016818  0.000500  ... -0.033160 -0.006892   \n",
+       "2020-09-30  0.013273  0.015640 -0.000866  0.006705  ... -0.006706  0.015771   \n",
+       "2020-10-01  0.054957  0.008475 -0.001517  0.001737  ... -0.030093  0.007737   \n",
+       "\n",
+       "                TROW       JNJ       UNH       MMM       UPS       ACN  \\\n",
+       "2015-11-20 -0.000131 -0.000098  0.021152  0.003599  0.000000  0.006432   \n",
+       "2015-11-23 -0.002881  0.002830 -0.007170 -0.001887 -0.004899 -0.001204   \n",
+       "2015-11-24 -0.006960 -0.007103  0.009183 -0.005673 -0.001834 -0.004544   \n",
+       "2015-11-25  0.005157 -0.000784  0.010778 -0.000761  0.000870 -0.002329   \n",
+       "2015-11-27 -0.000789  0.004021 -0.000612  0.002284  0.006667  0.003361   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.014502  0.006843  0.033623 -0.000935  0.035596  0.000979   \n",
+       "2020-09-28  0.026593  0.009955  0.002413  0.008673  0.016735  0.037972   \n",
+       "2020-09-29 -0.008246 -0.000340  0.003034 -0.011444 -0.002368  0.005835   \n",
+       "2020-09-30  0.005726  0.012376  0.025053  0.002315 -0.011098  0.008524   \n",
+       "2020-10-01 -0.001404 -0.010478  0.004170 -0.008678  0.006121 -0.003584   \n",
+       "\n",
+       "                 PPG       NEE  \n",
+       "2015-11-20  0.012092  0.000297  \n",
+       "2015-11-23  0.008125 -0.005246  \n",
+       "2015-11-24  0.000190 -0.010747  \n",
+       "2015-11-25  0.009195 -0.005331  \n",
+       "2015-11-27 -0.002348  0.004956  \n",
+       "...              ...       ...  \n",
+       "2020-09-25  0.010929  0.015421  \n",
+       "2020-09-28  0.012391  0.008232  \n",
+       "2020-09-29 -0.011582 -0.003590  \n",
+       "2020-09-30  0.014543 -0.019638  \n",
+       "2020-10-01 -0.002457  0.018735  \n",
+       "\n",
+       "[1224 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Calculating the % daily change of the SP500 + our stock picks\n",
+    "daily_returns_of_SP500_general_stock_picks = SP500_and_general_stock_picks.pct_change()\n",
+    "daily_returns_of_SP500_general_stock_picks.head()\n",
+    "\n",
+    "daily_returns_of_SP500_general_stock_picks.dropna(inplace=True)\n",
+    "\n",
+    "daily_returns_of_SP500_general_stock_picks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "SP500\n",
+      "ORCL\n",
+      "SQ\n",
+      "NVDA\n",
+      "BABA\n",
+      "PFE\n",
+      "NFLX\n",
+      "CRM\n",
+      "GD\n",
+      "AMT\n",
+      "HD\n",
+      "FB\n",
+      "MSFT\n",
+      "WMT\n",
+      "VZ\n",
+      "MCD\n",
+      "SBUX\n",
+      "CLX\n",
+      "COST\n",
+      "PSX\n",
+      "BLK\n",
+      "TROW\n",
+      "JNJ\n",
+      "UNH\n",
+      "MMM\n",
+      "UPS\n",
+      "ACN\n",
+      "PPG\n",
+      "NEE\n"
+     ]
+    }
+   ],
+   "source": [
+    "for col in daily_returns_of_SP500_general_stock_picks.columns: \n",
+    "    print(col)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculating Beta for each stock "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Calculating covariance of the our stock portfolio of daily returns\n",
+    "\n",
+    "ORCL_covariance = daily_returns_of_SP500_general_stock_picks['ORCL'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "SQ_covariance = daily_returns_of_SP500_general_stock_picks['SQ'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "NVDA_covariance = daily_returns_of_SP500_general_stock_picks['NVDA'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "BABA_covariance = daily_returns_of_SP500_general_stock_picks['BABA'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "PFE_covariance = daily_returns_of_SP500_general_stock_picks['PFE'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "NFLX_covariance = daily_returns_of_SP500_general_stock_picks['NFLX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "CRM_covariance = daily_returns_of_SP500_general_stock_picks['CRM'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "GD_covariance = daily_returns_of_SP500_general_stock_picks['GD'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "AMT_covariance = daily_returns_of_SP500_general_stock_picks['AMT'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "HD_covariance = daily_returns_of_SP500_general_stock_picks['HD'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "FB_covariance = daily_returns_of_SP500_general_stock_picks['FB'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "MSFT_covariance = daily_returns_of_SP500_general_stock_picks['MSFT'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "WMT_covariance = daily_returns_of_SP500_general_stock_picks['WMT'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "VZ_covariance = daily_returns_of_SP500_general_stock_picks['VZ'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "MCD_covariance = daily_returns_of_SP500_general_stock_picks['MCD'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "SBUX_covariance = daily_returns_of_SP500_general_stock_picks['SBUX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "CLX_covariance = daily_returns_of_SP500_general_stock_picks['CLX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "COST_covariance = daily_returns_of_SP500_general_stock_picks['COST'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "PSX_covariance = daily_returns_of_SP500_general_stock_picks['PSX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "BLK_covariance = daily_returns_of_SP500_general_stock_picks['BLK'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "TROW_covariance = daily_returns_of_SP500_general_stock_picks['TROW'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "JNJ_covariance = daily_returns_of_SP500_general_stock_picks['JNJ'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "UNH_covariance = daily_returns_of_SP500_general_stock_picks['UNH'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "MMM_covariance = daily_returns_of_SP500_general_stock_picks['MMM'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "UPS_covariance = daily_returns_of_SP500_general_stock_picks['UPS'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "ACN_covariance = daily_returns_of_SP500_general_stock_picks['ACN'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "PPG_covariance = daily_returns_of_SP500_general_stock_picks['PPG'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n",
+    "NEE_covariance = daily_returns_of_SP500_general_stock_picks['NEE'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.00014785817616144565"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#calculating Variance of SP500\n",
+    "\n",
+    "variance = daily_returns_of_SP500_general_stock_picks['SP500'].var()\n",
+    "variance\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Calculating covariance of stocks used to determine which stocks will stay in our portfolio and which will be dropped\n",
+    "\n",
+    "ORCL_beta = ORCL_covariance / variance\n",
+    "SQ_beta = SQ_covariance / variance\n",
+    "BABA_beta = BABA_covariance / variance\n",
+    "PFE_beta = PFE_covariance / variance\n",
+    "NFLX_beta = NFLX_covariance / variance\n",
+    "CRM_beta = CRM_covariance / variance\n",
+    "GD_beta = GD_covariance / variance\n",
+    "AMT_beta = AMT_covariance / variance\n",
+    "HD_beta = HD_covariance / variance\n",
+    "FB_beta = FB_covariance / variance\n",
+    "MSFT_beta = MSFT_covariance / variance\n",
+    "WMT_beta = WMT_covariance / variance\n",
+    "VZ_beta = VZ_covariance / variance\n",
+    "MCD_beta = MCD_covariance / variance\n",
+    "SBUX_beta = SBUX_covariance / variance\n",
+    "CLX_beta = CLX_covariance / variance\n",
+    "COST_beta = COST_covariance / variance\n",
+    "PSX_beta = PSX_covariance / variance\n",
+    "BLK_beta = BLK_covariance / variance\n",
+    "TROW_beta = TROW_covariance / variance\n",
+    "JNJ_beta = JNJ_covariance / variance\n",
+    "UNH_beta = UNH_covariance / variance\n",
+    "MMM_beta = MMM_covariance / variance\n",
+    "UPS_beta = UPS_covariance / variance\n",
+    "ACN_beta = ACN_covariance / variance\n",
+    "PPG_beta = PPG_covariance / variance\n",
+    "NEE_beta = NEE_covariance / variance"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'ORCL': 0.9769549555886817,\n",
+       " 'SQ': 1.5733357802790633,\n",
+       " 'NVDA': 0.9769549555886817,\n",
+       " 'BABA': 0.9259970212008787,\n",
+       " 'PFE': 0.7086025412089901,\n",
+       " 'NFLX': 1.0012252752845145,\n",
+       " 'CRM': 1.1741466397375553,\n",
+       " 'GD': 0.9164540496291751,\n",
+       " 'AMT': 0.8211519138482752,\n",
+       " 'HD': 1.0441345895014473,\n",
+       " 'FB': 1.0632491001241937,\n",
+       " 'MSFT': 1.1997107974053545,\n",
+       " 'WMT': 0.5377679951870248,\n",
+       " 'VZ': 0.5170806353266986,\n",
+       " 'MCD': -0.031713051802039975,\n",
+       " 'SBUX': 1.001966415362131,\n",
+       " 'CLX': 0.34932730372514326,\n",
+       " 'COST': 0.652210226608838,\n",
+       " 'PSX': 1.210976849419251,\n",
+       " 'BLK': 1.2445144852629633,\n",
+       " 'TROW': 1.2107585898939726,\n",
+       " 'JNJ': 0.6636170131399196,\n",
+       " 'UNH': 1.0346792426874538,\n",
+       " 'MMM': 0.9011592323738653,\n",
+       " 'UPS': 0.8359317125085839,\n",
+       " 'ACN': 1.0574321882503792,\n",
+       " 'PPG': 0.9746945125982714,\n",
+       " 'NEE': 0.6773761086824459}"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Sanity check of our Covariances by creating a dictionary to read the data\n",
+    "\n",
+    "beta = {\n",
+    "  \"ORCL\": ORCL_beta,\n",
+    "  \"SQ\" : SQ_beta,\n",
+    "  \"NVDA\": ORCL_beta,\n",
+    "  \"BABA\": BABA_beta,\n",
+    "  \"PFE\": PFE_beta,\n",
+    "  \"NFLX\": NFLX_beta,\n",
+    "  \"CRM\": CRM_beta,\n",
+    "  \"GD\": GD_beta,\n",
+    "  \"AMT\": AMT_beta,\n",
+    "  \"HD\": HD_beta,\n",
+    "  \"FB\": FB_beta,\n",
+    "  \"MSFT\": MSFT_beta,\n",
+    "  \"WMT\": WMT_beta,\n",
+    "  \"VZ\": VZ_beta,\n",
+    "  \"MCD\": MCD_beta,\n",
+    "  \"SBUX\": SBUX_beta,\n",
+    "  \"CLX\": CLX_beta,\n",
+    "  \"COST\": COST_beta,\n",
+    "  \"PSX\": PSX_beta,\n",
+    "  \"BLK\": BLK_beta,\n",
+    "  \"TROW\": TROW_beta,\n",
+    "  \"JNJ\": JNJ_beta,\n",
+    "  \"UNH\": UNH_beta,\n",
+    "  \"MMM\": MMM_beta,\n",
+    "  \"UPS\": UPS_beta,\n",
+    "  \"ACN\": ACN_beta,\n",
+    "  \"PPG\": PPG_beta,\n",
+    "  \"NEE\": NEE_beta\n",
+    "}\n",
+    "\n",
+    "beta"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MCD -0.031713051802039975\n",
+      "CLX 0.34932730372514326\n",
+      "VZ 0.5170806353266986\n",
+      "WMT 0.5377679951870248\n",
+      "COST 0.652210226608838\n",
+      "JNJ 0.6636170131399196\n",
+      "NEE 0.6773761086824459\n",
+      "PFE 0.7086025412089901\n",
+      "AMT 0.8211519138482752\n",
+      "UPS 0.8359317125085839\n",
+      "MMM 0.9011592323738653\n",
+      "GD 0.9164540496291751\n",
+      "BABA 0.9259970212008787\n",
+      "PPG 0.9746945125982714\n",
+      "ORCL 0.9769549555886817\n",
+      "NVDA 0.9769549555886817\n",
+      "NFLX 1.0012252752845145\n",
+      "SBUX 1.001966415362131\n",
+      "UNH 1.0346792426874538\n",
+      "HD 1.0441345895014473\n",
+      "ACN 1.0574321882503792\n",
+      "FB 1.0632491001241937\n",
+      "CRM 1.1741466397375553\n",
+      "MSFT 1.1997107974053545\n",
+      "TROW 1.2107585898939726\n",
+      "PSX 1.210976849419251\n",
+      "BLK 1.2445144852629633\n",
+      "SQ 1.5733357802790633\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Sorting Beta from lowest to highest\n",
+    "\n",
+    "sorted_beta = sorted(beta.items(),key=lambda x: x[1], reverse=False)\n",
+    "\n",
+    "for i in sorted_beta: print(i[0], i[1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Calculating Correlation of S&P500 to Our Stock Picks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>SP500</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>0.718211</td>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.678114</td>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>0.643808</td>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>0.705586</td>\n",
+       "      <td>0.633569</td>\n",
+       "      <td>0.808055</td>\n",
+       "      <td>0.698629</td>\n",
+       "      <td>0.562373</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.386958</td>\n",
+       "      <td>0.440505</td>\n",
+       "      <td>0.401409</td>\n",
+       "      <td>0.489646</td>\n",
+       "      <td>0.368666</td>\n",
+       "      <td>0.519628</td>\n",
+       "      <td>0.491460</td>\n",
+       "      <td>0.449295</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.469504</td>\n",
+       "      <td>0.574767</td>\n",
+       "      <td>0.618554</td>\n",
+       "      <td>0.499977</td>\n",
+       "      <td>0.462337</td>\n",
+       "      <td>0.493965</td>\n",
+       "      <td>0.487937</td>\n",
+       "      <td>0.591231</td>\n",
+       "      <td>0.465708</td>\n",
+       "      <td>0.397040</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>0.386958</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.497670</td>\n",
+       "      <td>0.435255</td>\n",
+       "      <td>0.266798</td>\n",
+       "      <td>0.406967</td>\n",
+       "      <td>0.522806</td>\n",
+       "      <td>0.352706</td>\n",
+       "      <td>0.308892</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.352132</td>\n",
+       "      <td>0.431933</td>\n",
+       "      <td>0.409616</td>\n",
+       "      <td>0.242864</td>\n",
+       "      <td>0.378167</td>\n",
+       "      <td>0.319526</td>\n",
+       "      <td>0.333839</td>\n",
+       "      <td>0.459697</td>\n",
+       "      <td>0.371528</td>\n",
+       "      <td>0.277875</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>0.440505</td>\n",
+       "      <td>0.497670</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.511204</td>\n",
+       "      <td>0.302971</td>\n",
+       "      <td>0.432834</td>\n",
+       "      <td>0.518064</td>\n",
+       "      <td>0.381814</td>\n",
+       "      <td>0.317262</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.337503</td>\n",
+       "      <td>0.480509</td>\n",
+       "      <td>0.446315</td>\n",
+       "      <td>0.321677</td>\n",
+       "      <td>0.409963</td>\n",
+       "      <td>0.428878</td>\n",
+       "      <td>0.394818</td>\n",
+       "      <td>0.482439</td>\n",
+       "      <td>0.381751</td>\n",
+       "      <td>0.273910</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>0.401409</td>\n",
+       "      <td>0.435255</td>\n",
+       "      <td>0.511204</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.271929</td>\n",
+       "      <td>0.424142</td>\n",
+       "      <td>0.459182</td>\n",
+       "      <td>0.351660</td>\n",
+       "      <td>0.256468</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.324386</td>\n",
+       "      <td>0.454519</td>\n",
+       "      <td>0.411006</td>\n",
+       "      <td>0.281382</td>\n",
+       "      <td>0.322509</td>\n",
+       "      <td>0.369862</td>\n",
+       "      <td>0.350588</td>\n",
+       "      <td>0.443488</td>\n",
+       "      <td>0.386716</td>\n",
+       "      <td>0.163250</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>0.489646</td>\n",
+       "      <td>0.266798</td>\n",
+       "      <td>0.302971</td>\n",
+       "      <td>0.271929</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.255231</td>\n",
+       "      <td>0.343271</td>\n",
+       "      <td>0.471287</td>\n",
+       "      <td>0.426877</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.398428</td>\n",
+       "      <td>0.505123</td>\n",
+       "      <td>0.535580</td>\n",
+       "      <td>0.603870</td>\n",
+       "      <td>0.505540</td>\n",
+       "      <td>0.474353</td>\n",
+       "      <td>0.426225</td>\n",
+       "      <td>0.477271</td>\n",
+       "      <td>0.394458</td>\n",
+       "      <td>0.411663</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NFLX</th>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>0.368666</td>\n",
+       "      <td>0.406967</td>\n",
+       "      <td>0.432834</td>\n",
+       "      <td>0.424142</td>\n",
+       "      <td>0.255231</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.517518</td>\n",
+       "      <td>0.269976</td>\n",
+       "      <td>0.224412</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.208610</td>\n",
+       "      <td>0.343955</td>\n",
+       "      <td>0.336051</td>\n",
+       "      <td>0.233285</td>\n",
+       "      <td>0.337498</td>\n",
+       "      <td>0.268799</td>\n",
+       "      <td>0.302649</td>\n",
+       "      <td>0.378277</td>\n",
+       "      <td>0.236955</td>\n",
+       "      <td>0.150619</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CRM</th>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>0.519628</td>\n",
+       "      <td>0.522806</td>\n",
+       "      <td>0.518064</td>\n",
+       "      <td>0.459182</td>\n",
+       "      <td>0.343271</td>\n",
+       "      <td>0.517518</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.390746</td>\n",
+       "      <td>0.385774</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.364246</td>\n",
+       "      <td>0.517619</td>\n",
+       "      <td>0.482899</td>\n",
+       "      <td>0.350679</td>\n",
+       "      <td>0.426561</td>\n",
+       "      <td>0.380771</td>\n",
+       "      <td>0.360656</td>\n",
+       "      <td>0.573153</td>\n",
+       "      <td>0.397626</td>\n",
+       "      <td>0.297884</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>GD</th>\n",
+       "      <td>0.718211</td>\n",
+       "      <td>0.491460</td>\n",
+       "      <td>0.352706</td>\n",
+       "      <td>0.381814</td>\n",
+       "      <td>0.351660</td>\n",
+       "      <td>0.471287</td>\n",
+       "      <td>0.269976</td>\n",
+       "      <td>0.390746</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.433965</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.575444</td>\n",
+       "      <td>0.632679</td>\n",
+       "      <td>0.637720</td>\n",
+       "      <td>0.463809</td>\n",
+       "      <td>0.515648</td>\n",
+       "      <td>0.612809</td>\n",
+       "      <td>0.492406</td>\n",
+       "      <td>0.585783</td>\n",
+       "      <td>0.581516</td>\n",
+       "      <td>0.422481</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>0.449295</td>\n",
+       "      <td>0.308892</td>\n",
+       "      <td>0.317262</td>\n",
+       "      <td>0.256468</td>\n",
+       "      <td>0.426877</td>\n",
+       "      <td>0.224412</td>\n",
+       "      <td>0.385774</td>\n",
+       "      <td>0.433965</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.366028</td>\n",
+       "      <td>0.487550</td>\n",
+       "      <td>0.449716</td>\n",
+       "      <td>0.491896</td>\n",
+       "      <td>0.469692</td>\n",
+       "      <td>0.375233</td>\n",
+       "      <td>0.361974</td>\n",
+       "      <td>0.540575</td>\n",
+       "      <td>0.405584</td>\n",
+       "      <td>0.637052</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HD</th>\n",
+       "      <td>0.785353</td>\n",
+       "      <td>0.541672</td>\n",
+       "      <td>0.450287</td>\n",
+       "      <td>0.498425</td>\n",
+       "      <td>0.365700</td>\n",
+       "      <td>0.474578</td>\n",
+       "      <td>0.356924</td>\n",
+       "      <td>0.533627</td>\n",
+       "      <td>0.563125</td>\n",
+       "      <td>0.492019</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.482809</td>\n",
+       "      <td>0.644194</td>\n",
+       "      <td>0.585338</td>\n",
+       "      <td>0.455767</td>\n",
+       "      <td>0.557355</td>\n",
+       "      <td>0.544081</td>\n",
+       "      <td>0.497412</td>\n",
+       "      <td>0.658139</td>\n",
+       "      <td>0.570022</td>\n",
+       "      <td>0.475322</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FB</th>\n",
+       "      <td>0.632176</td>\n",
+       "      <td>0.457322</td>\n",
+       "      <td>0.436800</td>\n",
+       "      <td>0.483370</td>\n",
+       "      <td>0.471006</td>\n",
+       "      <td>0.324569</td>\n",
+       "      <td>0.472848</td>\n",
+       "      <td>0.559551</td>\n",
+       "      <td>0.346451</td>\n",
+       "      <td>0.354050</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.362557</td>\n",
+       "      <td>0.452998</td>\n",
+       "      <td>0.463954</td>\n",
+       "      <td>0.334978</td>\n",
+       "      <td>0.396961</td>\n",
+       "      <td>0.364097</td>\n",
+       "      <td>0.367797</td>\n",
+       "      <td>0.517254</td>\n",
+       "      <td>0.355863</td>\n",
+       "      <td>0.290893</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>0.835836</td>\n",
+       "      <td>0.646769</td>\n",
+       "      <td>0.543734</td>\n",
+       "      <td>0.605723</td>\n",
+       "      <td>0.543635</td>\n",
+       "      <td>0.485601</td>\n",
+       "      <td>0.524701</td>\n",
+       "      <td>0.689552</td>\n",
+       "      <td>0.499636</td>\n",
+       "      <td>0.499342</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.479977</td>\n",
+       "      <td>0.644817</td>\n",
+       "      <td>0.620536</td>\n",
+       "      <td>0.519689</td>\n",
+       "      <td>0.564042</td>\n",
+       "      <td>0.515009</td>\n",
+       "      <td>0.478763</td>\n",
+       "      <td>0.704062</td>\n",
+       "      <td>0.488388</td>\n",
+       "      <td>0.440207</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>WMT</th>\n",
+       "      <td>0.461816</td>\n",
+       "      <td>0.395912</td>\n",
+       "      <td>0.187875</td>\n",
+       "      <td>0.277849</td>\n",
+       "      <td>0.186634</td>\n",
+       "      <td>0.380353</td>\n",
+       "      <td>0.239978</td>\n",
+       "      <td>0.260476</td>\n",
+       "      <td>0.293014</td>\n",
+       "      <td>0.348438</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.212599</td>\n",
+       "      <td>0.338067</td>\n",
+       "      <td>0.406592</td>\n",
+       "      <td>0.399855</td>\n",
+       "      <td>0.332521</td>\n",
+       "      <td>0.317887</td>\n",
+       "      <td>0.349254</td>\n",
+       "      <td>0.360491</td>\n",
+       "      <td>0.218643</td>\n",
+       "      <td>0.367207</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>VZ</th>\n",
+       "      <td>0.512857</td>\n",
+       "      <td>0.386823</td>\n",
+       "      <td>0.139478</td>\n",
+       "      <td>0.207164</td>\n",
+       "      <td>0.149580</td>\n",
+       "      <td>0.429250</td>\n",
+       "      <td>0.129282</td>\n",
+       "      <td>0.219509</td>\n",
+       "      <td>0.381099</td>\n",
+       "      <td>0.416023</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.335214</td>\n",
+       "      <td>0.391162</td>\n",
+       "      <td>0.414118</td>\n",
+       "      <td>0.479911</td>\n",
+       "      <td>0.382885</td>\n",
+       "      <td>0.384224</td>\n",
+       "      <td>0.349115</td>\n",
+       "      <td>0.411453</td>\n",
+       "      <td>0.306964</td>\n",
+       "      <td>0.484738</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MCD</th>\n",
+       "      <td>-0.032453</td>\n",
+       "      <td>-0.003682</td>\n",
+       "      <td>0.027755</td>\n",
+       "      <td>0.010267</td>\n",
+       "      <td>0.017631</td>\n",
+       "      <td>-0.038825</td>\n",
+       "      <td>-0.016089</td>\n",
+       "      <td>0.010782</td>\n",
+       "      <td>-0.054651</td>\n",
+       "      <td>-0.045105</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.006914</td>\n",
+       "      <td>-0.029351</td>\n",
+       "      <td>-0.044150</td>\n",
+       "      <td>-0.059683</td>\n",
+       "      <td>-0.009430</td>\n",
+       "      <td>-0.030565</td>\n",
+       "      <td>-0.067445</td>\n",
+       "      <td>-0.037118</td>\n",
+       "      <td>-0.026569</td>\n",
+       "      <td>-0.073236</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SBUX</th>\n",
+       "      <td>0.711353</td>\n",
+       "      <td>0.527104</td>\n",
+       "      <td>0.390464</td>\n",
+       "      <td>0.384516</td>\n",
+       "      <td>0.343242</td>\n",
+       "      <td>0.401640</td>\n",
+       "      <td>0.285326</td>\n",
+       "      <td>0.457296</td>\n",
+       "      <td>0.494361</td>\n",
+       "      <td>0.480262</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.498375</td>\n",
+       "      <td>0.589911</td>\n",
+       "      <td>0.521928</td>\n",
+       "      <td>0.435321</td>\n",
+       "      <td>0.498597</td>\n",
+       "      <td>0.495905</td>\n",
+       "      <td>0.417440</td>\n",
+       "      <td>0.614769</td>\n",
+       "      <td>0.521976</td>\n",
+       "      <td>0.428090</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CLX</th>\n",
+       "      <td>0.309705</td>\n",
+       "      <td>0.260473</td>\n",
+       "      <td>0.075674</td>\n",
+       "      <td>0.162212</td>\n",
+       "      <td>0.061895</td>\n",
+       "      <td>0.291219</td>\n",
+       "      <td>0.124540</td>\n",
+       "      <td>0.162881</td>\n",
+       "      <td>0.189859</td>\n",
+       "      <td>0.350655</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.084340</td>\n",
+       "      <td>0.229408</td>\n",
+       "      <td>0.263170</td>\n",
+       "      <td>0.366733</td>\n",
+       "      <td>0.215692</td>\n",
+       "      <td>0.209413</td>\n",
+       "      <td>0.232319</td>\n",
+       "      <td>0.272367</td>\n",
+       "      <td>0.127619</td>\n",
+       "      <td>0.409847</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COST</th>\n",
+       "      <td>0.585711</td>\n",
+       "      <td>0.426380</td>\n",
+       "      <td>0.292254</td>\n",
+       "      <td>0.358869</td>\n",
+       "      <td>0.267241</td>\n",
+       "      <td>0.412793</td>\n",
+       "      <td>0.312532</td>\n",
+       "      <td>0.362922</td>\n",
+       "      <td>0.379336</td>\n",
+       "      <td>0.375531</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.286191</td>\n",
+       "      <td>0.442151</td>\n",
+       "      <td>0.487109</td>\n",
+       "      <td>0.472884</td>\n",
+       "      <td>0.419567</td>\n",
+       "      <td>0.403851</td>\n",
+       "      <td>0.436347</td>\n",
+       "      <td>0.477749</td>\n",
+       "      <td>0.324210</td>\n",
+       "      <td>0.351795</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PSX</th>\n",
+       "      <td>0.678114</td>\n",
+       "      <td>0.469504</td>\n",
+       "      <td>0.352132</td>\n",
+       "      <td>0.337503</td>\n",
+       "      <td>0.324386</td>\n",
+       "      <td>0.398428</td>\n",
+       "      <td>0.208610</td>\n",
+       "      <td>0.364246</td>\n",
+       "      <td>0.575444</td>\n",
+       "      <td>0.366028</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.548150</td>\n",
+       "      <td>0.570340</td>\n",
+       "      <td>0.373861</td>\n",
+       "      <td>0.459719</td>\n",
+       "      <td>0.513094</td>\n",
+       "      <td>0.402171</td>\n",
+       "      <td>0.531834</td>\n",
+       "      <td>0.571292</td>\n",
+       "      <td>0.346682</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BLK</th>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>0.574767</td>\n",
+       "      <td>0.431933</td>\n",
+       "      <td>0.480509</td>\n",
+       "      <td>0.454519</td>\n",
+       "      <td>0.505123</td>\n",
+       "      <td>0.343955</td>\n",
+       "      <td>0.517619</td>\n",
+       "      <td>0.632679</td>\n",
+       "      <td>0.487550</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.548150</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.775532</td>\n",
+       "      <td>0.538297</td>\n",
+       "      <td>0.573321</td>\n",
+       "      <td>0.615239</td>\n",
+       "      <td>0.529992</td>\n",
+       "      <td>0.679991</td>\n",
+       "      <td>0.624727</td>\n",
+       "      <td>0.430124</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TROW</th>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>0.618554</td>\n",
+       "      <td>0.409616</td>\n",
+       "      <td>0.446315</td>\n",
+       "      <td>0.411006</td>\n",
+       "      <td>0.535580</td>\n",
+       "      <td>0.336051</td>\n",
+       "      <td>0.482899</td>\n",
+       "      <td>0.637720</td>\n",
+       "      <td>0.449716</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.570340</td>\n",
+       "      <td>0.775532</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.509898</td>\n",
+       "      <td>0.531681</td>\n",
+       "      <td>0.603428</td>\n",
+       "      <td>0.580435</td>\n",
+       "      <td>0.634510</td>\n",
+       "      <td>0.531371</td>\n",
+       "      <td>0.380660</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>JNJ</th>\n",
+       "      <td>0.643808</td>\n",
+       "      <td>0.499977</td>\n",
+       "      <td>0.242864</td>\n",
+       "      <td>0.321677</td>\n",
+       "      <td>0.281382</td>\n",
+       "      <td>0.603870</td>\n",
+       "      <td>0.233285</td>\n",
+       "      <td>0.350679</td>\n",
+       "      <td>0.463809</td>\n",
+       "      <td>0.491896</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.373861</td>\n",
+       "      <td>0.538297</td>\n",
+       "      <td>0.509898</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.517897</td>\n",
+       "      <td>0.517249</td>\n",
+       "      <td>0.423147</td>\n",
+       "      <td>0.519326</td>\n",
+       "      <td>0.392377</td>\n",
+       "      <td>0.479065</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UNH</th>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>0.462337</td>\n",
+       "      <td>0.378167</td>\n",
+       "      <td>0.409963</td>\n",
+       "      <td>0.322509</td>\n",
+       "      <td>0.505540</td>\n",
+       "      <td>0.337498</td>\n",
+       "      <td>0.426561</td>\n",
+       "      <td>0.515648</td>\n",
+       "      <td>0.469692</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.459719</td>\n",
+       "      <td>0.573321</td>\n",
+       "      <td>0.531681</td>\n",
+       "      <td>0.517897</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.497279</td>\n",
+       "      <td>0.434074</td>\n",
+       "      <td>0.535468</td>\n",
+       "      <td>0.496914</td>\n",
+       "      <td>0.454074</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MMM</th>\n",
+       "      <td>0.705586</td>\n",
+       "      <td>0.493965</td>\n",
+       "      <td>0.319526</td>\n",
+       "      <td>0.428878</td>\n",
+       "      <td>0.369862</td>\n",
+       "      <td>0.474353</td>\n",
+       "      <td>0.268799</td>\n",
+       "      <td>0.380771</td>\n",
+       "      <td>0.612809</td>\n",
+       "      <td>0.375233</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.513094</td>\n",
+       "      <td>0.615239</td>\n",
+       "      <td>0.603428</td>\n",
+       "      <td>0.517249</td>\n",
+       "      <td>0.497279</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.544738</td>\n",
+       "      <td>0.577708</td>\n",
+       "      <td>0.564033</td>\n",
+       "      <td>0.362342</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UPS</th>\n",
+       "      <td>0.633569</td>\n",
+       "      <td>0.487937</td>\n",
+       "      <td>0.333839</td>\n",
+       "      <td>0.394818</td>\n",
+       "      <td>0.350588</td>\n",
+       "      <td>0.426225</td>\n",
+       "      <td>0.302649</td>\n",
+       "      <td>0.360656</td>\n",
+       "      <td>0.492406</td>\n",
+       "      <td>0.361974</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.402171</td>\n",
+       "      <td>0.529992</td>\n",
+       "      <td>0.580435</td>\n",
+       "      <td>0.423147</td>\n",
+       "      <td>0.434074</td>\n",
+       "      <td>0.544738</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.496321</td>\n",
+       "      <td>0.448070</td>\n",
+       "      <td>0.328822</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ACN</th>\n",
+       "      <td>0.808055</td>\n",
+       "      <td>0.591231</td>\n",
+       "      <td>0.459697</td>\n",
+       "      <td>0.482439</td>\n",
+       "      <td>0.443488</td>\n",
+       "      <td>0.477271</td>\n",
+       "      <td>0.378277</td>\n",
+       "      <td>0.573153</td>\n",
+       "      <td>0.585783</td>\n",
+       "      <td>0.540575</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.531834</td>\n",
+       "      <td>0.679991</td>\n",
+       "      <td>0.634510</td>\n",
+       "      <td>0.519326</td>\n",
+       "      <td>0.535468</td>\n",
+       "      <td>0.577708</td>\n",
+       "      <td>0.496321</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.581741</td>\n",
+       "      <td>0.465686</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PPG</th>\n",
+       "      <td>0.698629</td>\n",
+       "      <td>0.465708</td>\n",
+       "      <td>0.371528</td>\n",
+       "      <td>0.381751</td>\n",
+       "      <td>0.386716</td>\n",
+       "      <td>0.394458</td>\n",
+       "      <td>0.236955</td>\n",
+       "      <td>0.397626</td>\n",
+       "      <td>0.581516</td>\n",
+       "      <td>0.405584</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.571292</td>\n",
+       "      <td>0.624727</td>\n",
+       "      <td>0.531371</td>\n",
+       "      <td>0.392377</td>\n",
+       "      <td>0.496914</td>\n",
+       "      <td>0.564033</td>\n",
+       "      <td>0.448070</td>\n",
+       "      <td>0.581741</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.338004</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NEE</th>\n",
+       "      <td>0.562373</td>\n",
+       "      <td>0.397040</td>\n",
+       "      <td>0.277875</td>\n",
+       "      <td>0.273910</td>\n",
+       "      <td>0.163250</td>\n",
+       "      <td>0.411663</td>\n",
+       "      <td>0.150619</td>\n",
+       "      <td>0.297884</td>\n",
+       "      <td>0.422481</td>\n",
+       "      <td>0.637052</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.346682</td>\n",
+       "      <td>0.430124</td>\n",
+       "      <td>0.380660</td>\n",
+       "      <td>0.479065</td>\n",
+       "      <td>0.454074</td>\n",
+       "      <td>0.362342</td>\n",
+       "      <td>0.328822</td>\n",
+       "      <td>0.465686</td>\n",
+       "      <td>0.338004</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>29 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          SP500      ORCL        SQ      NVDA      BABA       PFE      NFLX  \\\n",
+       "SP500  1.000000  0.717214  0.567302  0.619705  0.550555  0.630865  0.477013   \n",
+       "ORCL   0.717214  1.000000  0.386958  0.440505  0.401409  0.489646  0.368666   \n",
+       "SQ     0.567302  0.386958  1.000000  0.497670  0.435255  0.266798  0.406967   \n",
+       "NVDA   0.619705  0.440505  0.497670  1.000000  0.511204  0.302971  0.432834   \n",
+       "BABA   0.550555  0.401409  0.435255  0.511204  1.000000  0.271929  0.424142   \n",
+       "PFE    0.630865  0.489646  0.266798  0.302971  0.271929  1.000000  0.255231   \n",
+       "NFLX   0.477013  0.368666  0.406967  0.432834  0.424142  0.255231  1.000000   \n",
+       "CRM    0.661607  0.519628  0.522806  0.518064  0.459182  0.343271  0.517518   \n",
+       "GD     0.718211  0.491460  0.352706  0.381814  0.351660  0.471287  0.269976   \n",
+       "AMT    0.610404  0.449295  0.308892  0.317262  0.256468  0.426877  0.224412   \n",
+       "HD     0.785353  0.541672  0.450287  0.498425  0.365700  0.474578  0.356924   \n",
+       "FB     0.632176  0.457322  0.436800  0.483370  0.471006  0.324569  0.472848   \n",
+       "MSFT   0.835836  0.646769  0.543734  0.605723  0.543635  0.485601  0.524701   \n",
+       "WMT    0.461816  0.395912  0.187875  0.277849  0.186634  0.380353  0.239978   \n",
+       "VZ     0.512857  0.386823  0.139478  0.207164  0.149580  0.429250  0.129282   \n",
+       "MCD   -0.032453 -0.003682  0.027755  0.010267  0.017631 -0.038825 -0.016089   \n",
+       "SBUX   0.711353  0.527104  0.390464  0.384516  0.343242  0.401640  0.285326   \n",
+       "CLX    0.309705  0.260473  0.075674  0.162212  0.061895  0.291219  0.124540   \n",
+       "COST   0.585711  0.426380  0.292254  0.358869  0.267241  0.412793  0.312532   \n",
+       "PSX    0.678114  0.469504  0.352132  0.337503  0.324386  0.398428  0.208610   \n",
+       "BLK    0.820446  0.574767  0.431933  0.480509  0.454519  0.505123  0.343955   \n",
+       "TROW   0.800011  0.618554  0.409616  0.446315  0.411006  0.535580  0.336051   \n",
+       "JNJ    0.643808  0.499977  0.242864  0.321677  0.281382  0.603870  0.233285   \n",
+       "UNH    0.708231  0.462337  0.378167  0.409963  0.322509  0.505540  0.337498   \n",
+       "MMM    0.705586  0.493965  0.319526  0.428878  0.369862  0.474353  0.268799   \n",
+       "UPS    0.633569  0.487937  0.333839  0.394818  0.350588  0.426225  0.302649   \n",
+       "ACN    0.808055  0.591231  0.459697  0.482439  0.443488  0.477271  0.378277   \n",
+       "PPG    0.698629  0.465708  0.371528  0.381751  0.386716  0.394458  0.236955   \n",
+       "NEE    0.562373  0.397040  0.277875  0.273910  0.163250  0.411663  0.150619   \n",
+       "\n",
+       "            CRM        GD       AMT  ...       PSX       BLK      TROW  \\\n",
+       "SP500  0.661607  0.718211  0.610404  ...  0.678114  0.820446  0.800011   \n",
+       "ORCL   0.519628  0.491460  0.449295  ...  0.469504  0.574767  0.618554   \n",
+       "SQ     0.522806  0.352706  0.308892  ...  0.352132  0.431933  0.409616   \n",
+       "NVDA   0.518064  0.381814  0.317262  ...  0.337503  0.480509  0.446315   \n",
+       "BABA   0.459182  0.351660  0.256468  ...  0.324386  0.454519  0.411006   \n",
+       "PFE    0.343271  0.471287  0.426877  ...  0.398428  0.505123  0.535580   \n",
+       "NFLX   0.517518  0.269976  0.224412  ...  0.208610  0.343955  0.336051   \n",
+       "CRM    1.000000  0.390746  0.385774  ...  0.364246  0.517619  0.482899   \n",
+       "GD     0.390746  1.000000  0.433965  ...  0.575444  0.632679  0.637720   \n",
+       "AMT    0.385774  0.433965  1.000000  ...  0.366028  0.487550  0.449716   \n",
+       "HD     0.533627  0.563125  0.492019  ...  0.482809  0.644194  0.585338   \n",
+       "FB     0.559551  0.346451  0.354050  ...  0.362557  0.452998  0.463954   \n",
+       "MSFT   0.689552  0.499636  0.499342  ...  0.479977  0.644817  0.620536   \n",
+       "WMT    0.260476  0.293014  0.348438  ...  0.212599  0.338067  0.406592   \n",
+       "VZ     0.219509  0.381099  0.416023  ...  0.335214  0.391162  0.414118   \n",
+       "MCD    0.010782 -0.054651 -0.045105  ... -0.006914 -0.029351 -0.044150   \n",
+       "SBUX   0.457296  0.494361  0.480262  ...  0.498375  0.589911  0.521928   \n",
+       "CLX    0.162881  0.189859  0.350655  ...  0.084340  0.229408  0.263170   \n",
+       "COST   0.362922  0.379336  0.375531  ...  0.286191  0.442151  0.487109   \n",
+       "PSX    0.364246  0.575444  0.366028  ...  1.000000  0.548150  0.570340   \n",
+       "BLK    0.517619  0.632679  0.487550  ...  0.548150  1.000000  0.775532   \n",
+       "TROW   0.482899  0.637720  0.449716  ...  0.570340  0.775532  1.000000   \n",
+       "JNJ    0.350679  0.463809  0.491896  ...  0.373861  0.538297  0.509898   \n",
+       "UNH    0.426561  0.515648  0.469692  ...  0.459719  0.573321  0.531681   \n",
+       "MMM    0.380771  0.612809  0.375233  ...  0.513094  0.615239  0.603428   \n",
+       "UPS    0.360656  0.492406  0.361974  ...  0.402171  0.529992  0.580435   \n",
+       "ACN    0.573153  0.585783  0.540575  ...  0.531834  0.679991  0.634510   \n",
+       "PPG    0.397626  0.581516  0.405584  ...  0.571292  0.624727  0.531371   \n",
+       "NEE    0.297884  0.422481  0.637052  ...  0.346682  0.430124  0.380660   \n",
+       "\n",
+       "            JNJ       UNH       MMM       UPS       ACN       PPG       NEE  \n",
+       "SP500  0.643808  0.708231  0.705586  0.633569  0.808055  0.698629  0.562373  \n",
+       "ORCL   0.499977  0.462337  0.493965  0.487937  0.591231  0.465708  0.397040  \n",
+       "SQ     0.242864  0.378167  0.319526  0.333839  0.459697  0.371528  0.277875  \n",
+       "NVDA   0.321677  0.409963  0.428878  0.394818  0.482439  0.381751  0.273910  \n",
+       "BABA   0.281382  0.322509  0.369862  0.350588  0.443488  0.386716  0.163250  \n",
+       "PFE    0.603870  0.505540  0.474353  0.426225  0.477271  0.394458  0.411663  \n",
+       "NFLX   0.233285  0.337498  0.268799  0.302649  0.378277  0.236955  0.150619  \n",
+       "CRM    0.350679  0.426561  0.380771  0.360656  0.573153  0.397626  0.297884  \n",
+       "GD     0.463809  0.515648  0.612809  0.492406  0.585783  0.581516  0.422481  \n",
+       "AMT    0.491896  0.469692  0.375233  0.361974  0.540575  0.405584  0.637052  \n",
+       "HD     0.455767  0.557355  0.544081  0.497412  0.658139  0.570022  0.475322  \n",
+       "FB     0.334978  0.396961  0.364097  0.367797  0.517254  0.355863  0.290893  \n",
+       "MSFT   0.519689  0.564042  0.515009  0.478763  0.704062  0.488388  0.440207  \n",
+       "WMT    0.399855  0.332521  0.317887  0.349254  0.360491  0.218643  0.367207  \n",
+       "VZ     0.479911  0.382885  0.384224  0.349115  0.411453  0.306964  0.484738  \n",
+       "MCD   -0.059683 -0.009430 -0.030565 -0.067445 -0.037118 -0.026569 -0.073236  \n",
+       "SBUX   0.435321  0.498597  0.495905  0.417440  0.614769  0.521976  0.428090  \n",
+       "CLX    0.366733  0.215692  0.209413  0.232319  0.272367  0.127619  0.409847  \n",
+       "COST   0.472884  0.419567  0.403851  0.436347  0.477749  0.324210  0.351795  \n",
+       "PSX    0.373861  0.459719  0.513094  0.402171  0.531834  0.571292  0.346682  \n",
+       "BLK    0.538297  0.573321  0.615239  0.529992  0.679991  0.624727  0.430124  \n",
+       "TROW   0.509898  0.531681  0.603428  0.580435  0.634510  0.531371  0.380660  \n",
+       "JNJ    1.000000  0.517897  0.517249  0.423147  0.519326  0.392377  0.479065  \n",
+       "UNH    0.517897  1.000000  0.497279  0.434074  0.535468  0.496914  0.454074  \n",
+       "MMM    0.517249  0.497279  1.000000  0.544738  0.577708  0.564033  0.362342  \n",
+       "UPS    0.423147  0.434074  0.544738  1.000000  0.496321  0.448070  0.328822  \n",
+       "ACN    0.519326  0.535468  0.577708  0.496321  1.000000  0.581741  0.465686  \n",
+       "PPG    0.392377  0.496914  0.564033  0.448070  0.581741  1.000000  0.338004  \n",
+       "NEE    0.479065  0.454074  0.362342  0.328822  0.465686  0.338004  1.000000  \n",
+       "\n",
+       "[29 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#calculating Correlation of portfolio stocks to the stock market\n",
+    "\n",
+    "correlation_of_portfolio = daily_returns_of_SP500_general_stock_picks.corr()\n",
+    "\n",
+    "correlation_of_portfolio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x1080 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Visualization of the Correlations\n",
+    "\n",
+    "plt.subplots(figsize=(20,15))\n",
+    "sns.heatmap(correlation_of_portfolio);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Creating a Formula that will help us determine which stocks we will pick in our Portfolio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Beta</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Stock</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.976955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>1.573336</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.976955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.925997</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.708603</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           Beta\n",
+       "Stock          \n",
+       "ORCL   0.976955\n",
+       "SQ     1.573336\n",
+       "NVDA   0.976955\n",
+       "BABA   0.925997\n",
+       "PFE    0.708603"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Creating a df to compare beta and correlations\n",
+    "\n",
+    "raw_beta = {\n",
+    "  \"ORCL\": ORCL_beta,\n",
+    "  \"SQ\" : SQ_beta,\n",
+    "  \"NVDA\": ORCL_beta,\n",
+    "  \"BABA\": BABA_beta,\n",
+    "  \"PFE\": PFE_beta,\n",
+    "  \"NFLX\": NFLX_beta,\n",
+    "  \"CRM\": CRM_beta,\n",
+    "  \"GD\": GD_beta,\n",
+    "  \"AMT\": AMT_beta,\n",
+    "  \"HD\": HD_beta,\n",
+    "  \"FB\": FB_beta,\n",
+    "  \"MSFT\": MSFT_beta,\n",
+    "  \"WMT\": WMT_beta,\n",
+    "  \"VZ\": VZ_beta,\n",
+    "  \"MCD\": MCD_beta,\n",
+    "  \"SBUX\": SBUX_beta,\n",
+    "  \"CLX\": CLX_beta,\n",
+    "  \"COST\": COST_beta,\n",
+    "  \"PSX\": PSX_beta,\n",
+    "  \"BLK\": BLK_beta,\n",
+    "  \"TROW\": TROW_beta,\n",
+    "  \"JNJ\": JNJ_beta,\n",
+    "  \"UNH\": UNH_beta,\n",
+    "  \"MMM\": MMM_beta,\n",
+    "  \"UPS\": UPS_beta,\n",
+    "  \"ACN\": ACN_beta,\n",
+    "  \"PPG\": PPG_beta,\n",
+    "  \"NEE\": NEE_beta\n",
+    "}\n",
+    "beta_df = pd.DataFrame(list(raw_beta.items()),columns = ['Stock','Beta']) \n",
+    "\n",
+    "beta_df.set_index('Stock', inplace=True)\n",
+    "\n",
+    "beta_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>SP500</th>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.717214</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>0.567302</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.619705</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.550555</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          SP500\n",
+       "SP500  1.000000\n",
+       "ORCL   0.717214\n",
+       "SQ     0.567302\n",
+       "NVDA   0.619705\n",
+       "BABA   0.550555"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#dropping excess correlations to show only correlation of Portfolio to SP500\n",
+    "\n",
+    "correlation_of_portfolio_only_to_SP500 = correlation_of_portfolio.drop(columns=['ORCL','SQ','NVDA','BABA','PFE','NFLX','CRM','GD','AMT','HD','FB','MSFT','WMT', 'VZ','MCD','SBUX','CLX','COST','PSX','BLK','TROW','JNJ','UNH','MMM','UPS','ACN','PPG','NEE'])\n",
+    "\n",
+    "correlation_of_portfolio_only_to_SP500.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Beta</th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.717214</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>1.573336</td>\n",
+       "      <td>0.567302</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.619705</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.925997</td>\n",
+       "      <td>0.550555</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.708603</td>\n",
+       "      <td>0.630865</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Beta     SP500\n",
+       "ORCL  0.976955  0.717214\n",
+       "SQ    1.573336  0.567302\n",
+       "NVDA  0.976955  0.619705\n",
+       "BABA  0.925997  0.550555\n",
+       "PFE   0.708603  0.630865"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#combining both df's\n",
+    "\n",
+    "correlation_beta_df = pd.concat([beta_df,correlation_of_portfolio_only_to_SP500], axis='columns', join='outer')\n",
+    "\n",
+    "correlation_beta_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#creating our formula to decide how we choose stocks\n",
+    "\n",
+    "correlation_beta_df['Beta/SP500'] = correlation_beta_df['Beta']/correlation_beta_df['SP500']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Beta</th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>Beta/SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>1.362152</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>1.573336</td>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>2.773364</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>1.576484</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.925997</td>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>1.681935</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.708603</td>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>1.123225</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Beta     SP500  Beta/SP500\n",
+       "ORCL  0.976955  0.717214    1.362152\n",
+       "SQ    1.573336  0.567302    2.773364\n",
+       "NVDA  0.976955  0.619705    1.576484\n",
+       "BABA  0.925997  0.550555    1.681935\n",
+       "PFE   0.708603  0.630865    1.123225"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#implementing our formula\n",
+    "\n",
+    "\n",
+    "correlation_beta_df.dropna(inplace=True)\n",
+    "\n",
+    "correlation_beta_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Beta</th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>Beta/SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>MCD</th>\n",
+       "      <td>-0.031713</td>\n",
+       "      <td>-0.032453</td>\n",
+       "      <td>0.977200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>VZ</th>\n",
+       "      <td>0.517081</td>\n",
+       "      <td>0.512857</td>\n",
+       "      <td>1.008236</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>JNJ</th>\n",
+       "      <td>0.663617</td>\n",
+       "      <td>0.643808</td>\n",
+       "      <td>1.030768</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COST</th>\n",
+       "      <td>0.652210</td>\n",
+       "      <td>0.585711</td>\n",
+       "      <td>1.113536</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.708603</td>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>1.123225</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CLX</th>\n",
+       "      <td>0.349327</td>\n",
+       "      <td>0.309705</td>\n",
+       "      <td>1.127936</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>WMT</th>\n",
+       "      <td>0.537768</td>\n",
+       "      <td>0.461816</td>\n",
+       "      <td>1.164464</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NEE</th>\n",
+       "      <td>0.677376</td>\n",
+       "      <td>0.562373</td>\n",
+       "      <td>1.204495</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>GD</th>\n",
+       "      <td>0.916454</td>\n",
+       "      <td>0.718211</td>\n",
+       "      <td>1.276024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MMM</th>\n",
+       "      <td>0.901159</td>\n",
+       "      <td>0.705586</td>\n",
+       "      <td>1.277179</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ACN</th>\n",
+       "      <td>1.057432</td>\n",
+       "      <td>0.808055</td>\n",
+       "      <td>1.308614</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UPS</th>\n",
+       "      <td>0.835932</td>\n",
+       "      <td>0.633569</td>\n",
+       "      <td>1.319401</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>HD</th>\n",
+       "      <td>1.044135</td>\n",
+       "      <td>0.785353</td>\n",
+       "      <td>1.329509</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.821152</td>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>1.345260</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>1.362152</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PPG</th>\n",
+       "      <td>0.974695</td>\n",
+       "      <td>0.698629</td>\n",
+       "      <td>1.395153</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SBUX</th>\n",
+       "      <td>1.001966</td>\n",
+       "      <td>0.711353</td>\n",
+       "      <td>1.408537</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>1.199711</td>\n",
+       "      <td>0.835836</td>\n",
+       "      <td>1.435343</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UNH</th>\n",
+       "      <td>1.034679</td>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>1.460935</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TROW</th>\n",
+       "      <td>1.210759</td>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>1.513428</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BLK</th>\n",
+       "      <td>1.244514</td>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>1.516876</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.976955</td>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>1.576484</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FB</th>\n",
+       "      <td>1.063249</td>\n",
+       "      <td>0.632176</td>\n",
+       "      <td>1.681887</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.925997</td>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>1.681935</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CRM</th>\n",
+       "      <td>1.174147</td>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>1.774688</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PSX</th>\n",
+       "      <td>1.210977</td>\n",
+       "      <td>0.678114</td>\n",
+       "      <td>1.785802</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NFLX</th>\n",
+       "      <td>1.001225</td>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>2.098947</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>1.573336</td>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>2.773364</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Beta     SP500  Beta/SP500\n",
+       "MCD  -0.031713 -0.032453    0.977200\n",
+       "VZ    0.517081  0.512857    1.008236\n",
+       "JNJ   0.663617  0.643808    1.030768\n",
+       "COST  0.652210  0.585711    1.113536\n",
+       "PFE   0.708603  0.630865    1.123225\n",
+       "CLX   0.349327  0.309705    1.127936\n",
+       "WMT   0.537768  0.461816    1.164464\n",
+       "NEE   0.677376  0.562373    1.204495\n",
+       "GD    0.916454  0.718211    1.276024\n",
+       "MMM   0.901159  0.705586    1.277179\n",
+       "ACN   1.057432  0.808055    1.308614\n",
+       "UPS   0.835932  0.633569    1.319401\n",
+       "HD    1.044135  0.785353    1.329509\n",
+       "AMT   0.821152  0.610404    1.345260\n",
+       "ORCL  0.976955  0.717214    1.362152\n",
+       "PPG   0.974695  0.698629    1.395153\n",
+       "SBUX  1.001966  0.711353    1.408537\n",
+       "MSFT  1.199711  0.835836    1.435343\n",
+       "UNH   1.034679  0.708231    1.460935\n",
+       "TROW  1.210759  0.800011    1.513428\n",
+       "BLK   1.244514  0.820446    1.516876\n",
+       "NVDA  0.976955  0.619705    1.576484\n",
+       "FB    1.063249  0.632176    1.681887\n",
+       "BABA  0.925997  0.550555    1.681935\n",
+       "CRM   1.174147  0.661607    1.774688\n",
+       "PSX   1.210977  0.678114    1.785802\n",
+       "NFLX  1.001225  0.477013    2.098947\n",
+       "SQ    1.573336  0.567302    2.773364"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Reading the data in ascending order\n",
+    "\n",
+    "correlation_beta_df.sort_values('Beta/SP500', ascending=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "From here we decided to use our new formula to pick the stocks with the highest numeric value. We did however take the executive decision to replace 2 stocks PSX with PFE and SBUX with COST. The reason behind this was because we did not believe in the reliability of energy sector and Costco seemed to have better future growth capabilities. Our portfolio consist of the following stocks: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ.\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(F\"From here we decided to use our new formula to pick the stocks with the highest numeric value. We did however take the executive decision to replace 2 stocks PSX with PFE and SBUX with COST. The reason behind this was because we did not believe in the reliability of energy sector and Costco seemed to have better future growth capabilities. Our portfolio consist of the following stocks: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Analyze the S&P500 with our Final Portfolio Positions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.38</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>102.49</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>158.38</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.28</td>\n",
+       "      <td>103.37</td>\n",
+       "      <td>100.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>...</td>\n",
+       "      <td>91.67</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>102.48</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>158.95</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>104.62</td>\n",
+       "      <td>101.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.17</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>102.77</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>158.65</td>\n",
+       "      <td>103.59</td>\n",
+       "      <td>107.84</td>\n",
+       "      <td>105.47</td>\n",
+       "      <td>100.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>...</td>\n",
+       "      <td>93.13</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>102.04</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>157.75</td>\n",
+       "      <td>103.40</td>\n",
+       "      <td>107.35</td>\n",
+       "      <td>105.49</td>\n",
+       "      <td>99.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.77</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>101.96</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>157.63</td>\n",
+       "      <td>103.49</td>\n",
+       "      <td>107.10</td>\n",
+       "      <td>106.46</td>\n",
+       "      <td>98.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>138.210007</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.88</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>145.66</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>160.27</td>\n",
+       "      <td>166.12</td>\n",
+       "      <td>214.63</td>\n",
+       "      <td>120.25</td>\n",
+       "      <td>281.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>140.919998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>...</td>\n",
+       "      <td>53.98</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>147.11</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>161.66</td>\n",
+       "      <td>168.90</td>\n",
+       "      <td>222.78</td>\n",
+       "      <td>121.74</td>\n",
+       "      <td>284.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>138.550003</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>52.19</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>147.06</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>159.81</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>224.08</td>\n",
+       "      <td>120.33</td>\n",
+       "      <td>283.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>138.429993</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>...</td>\n",
+       "      <td>51.84</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>148.88</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>160.18</td>\n",
+       "      <td>166.63</td>\n",
+       "      <td>225.99</td>\n",
+       "      <td>122.08</td>\n",
+       "      <td>277.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>138.220001</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>...</td>\n",
+       "      <td>50.28</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>147.32</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>158.79</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>225.18</td>\n",
+       "      <td>121.78</td>\n",
+       "      <td>282.76</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  SP500       ORCL          SQ        NVDA        BABA  \\\n",
+       "2015-11-19  2081.239990  36.108597   13.070000   30.458263   77.870003   \n",
+       "2015-11-20  2089.169922  36.404728   12.850000   30.722525   79.949997   \n",
+       "2015-11-23  2086.590088  36.219639   12.120000   30.262524   81.309998   \n",
+       "2015-11-24  2089.139893  36.515770   12.020000   30.507206   80.860001   \n",
+       "2015-11-25  2088.870117  36.330700   11.900000   30.468054   81.709999   \n",
+       "...                 ...        ...         ...         ...         ...   \n",
+       "2020-09-25  3298.459961  59.799999  157.720001  514.950012  271.089996   \n",
+       "2020-09-28  3351.600098  59.580002  160.759995  521.400024  276.010010   \n",
+       "2020-09-29  3335.469971  59.470001  164.809998  529.030029  276.929993   \n",
+       "2020-09-30  3363.000000  59.700001  162.550003  541.219971  293.980011   \n",
+       "2020-10-01  3380.800049  59.680000  168.490005  544.580017  290.049988   \n",
+       "\n",
+       "                  PFE        NFLX         CRM          GD     AMT  ...    PSX  \\\n",
+       "2015-11-19  27.049994  120.220001   80.639999  130.626297   99.63  ...  92.38   \n",
+       "2015-11-20  26.957846  123.839996   80.989998  130.896194  100.49  ...  91.67   \n",
+       "2015-11-23  26.245783  125.029999   80.779999  130.077530   99.94  ...  92.17   \n",
+       "2015-11-24  26.781923  123.309998   80.389999  130.923172   99.26  ...  93.13   \n",
+       "2015-11-25  27.535873  124.160004   80.410004  130.608292   99.09  ...  92.77   \n",
+       "...               ...         ...         ...         ...     ...  ...    ...   \n",
+       "2020-09-25  36.049999  482.880005  242.740005  138.210007  239.81  ...  52.88   \n",
+       "2020-09-28  36.389999  490.649994  246.669998  140.919998  240.00  ...  53.98   \n",
+       "2020-09-29  36.169998  493.480011  247.449997  138.550003  240.12  ...  52.19   \n",
+       "2020-09-30  36.700001  500.029999  251.320007  138.429993  241.73  ...  51.84   \n",
+       "2020-10-01  36.369999  527.510010  253.449997  138.220001  242.15  ...  50.28   \n",
+       "\n",
+       "               BLK    TROW     JNJ     UNH     MMM     UPS     ACN     PPG  \\\n",
+       "2015-11-19  359.09   76.38  102.49  110.63  158.38  104.10  107.28  103.37   \n",
+       "2015-11-20  362.46   76.37  102.48  112.97  158.95  104.10  107.97  104.62   \n",
+       "2015-11-23  363.25   76.15  102.77  112.16  158.65  103.59  107.84  105.47   \n",
+       "2015-11-24  356.81   75.62  102.04  113.19  157.75  103.40  107.35  105.49   \n",
+       "2015-11-25  360.62   76.01  101.96  114.41  157.63  103.49  107.10  106.46   \n",
+       "...            ...     ...     ...     ...     ...     ...     ...     ...   \n",
+       "2020-09-25  547.81  125.22  145.66  302.50  160.27  166.12  214.63  120.25   \n",
+       "2020-09-28  558.65  128.55  147.11  303.23  161.66  168.90  222.78  121.74   \n",
+       "2020-09-29  554.80  127.49  147.06  304.15  159.81  168.50  224.08  120.33   \n",
+       "2020-09-30  563.55  128.22  148.88  311.77  160.18  166.63  225.99  122.08   \n",
+       "2020-10-01  567.91  128.04  147.32  313.07  158.79  167.65  225.18  121.78   \n",
+       "\n",
+       "               NEE  \n",
+       "2015-11-19  100.99  \n",
+       "2015-11-20  101.02  \n",
+       "2015-11-23  100.49  \n",
+       "2015-11-24   99.41  \n",
+       "2015-11-25   98.88  \n",
+       "...            ...  \n",
+       "2020-09-25  281.82  \n",
+       "2020-09-28  284.14  \n",
+       "2020-09-29  283.12  \n",
+       "2020-09-30  277.56  \n",
+       "2020-10-01  282.76  \n",
+       "\n",
+       "[1225 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    " # Set the file paths for the CSVs \n",
+    "Combined_portfolio =  Path(\"../CSVs/combined_close_data_SP500_group_portfolio.csv\")\n",
+    "\n",
+    "\n",
+    "# Read the daily closing prices of MSFT, set the `date` as a datetime index\n",
+    "combined_portfolio_df = pd.read_csv(Combined_portfolio, index_col=0, parse_dates=True, infer_datetime_format=True)\n",
+    "\n",
+    "combined_portfolio_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.002066</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.007686</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>-0.000098</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.003599</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.006432</td>\n",
+       "      <td>0.012092</td>\n",
+       "      <td>0.000297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.006254</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.005454</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>0.002830</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>-0.001887</td>\n",
+       "      <td>-0.004899</td>\n",
+       "      <td>-0.001204</td>\n",
+       "      <td>0.008125</td>\n",
+       "      <td>-0.005246</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>0.006501</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.010416</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>-0.007103</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>-0.005673</td>\n",
+       "      <td>-0.001834</td>\n",
+       "      <td>-0.004544</td>\n",
+       "      <td>0.000190</td>\n",
+       "      <td>-0.010747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.002405</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.003866</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>-0.000784</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>-0.000761</td>\n",
+       "      <td>0.000870</td>\n",
+       "      <td>-0.002329</td>\n",
+       "      <td>0.009195</td>\n",
+       "      <td>-0.005331</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.002617</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.000108</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>0.004021</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>0.002284</td>\n",
+       "      <td>0.006667</td>\n",
+       "      <td>0.003361</td>\n",
+       "      <td>-0.002348</td>\n",
+       "      <td>0.004956</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500      ORCL        SQ      NVDA      BABA       PFE  \\\n",
+       "2015-11-20  0.003810  0.008201 -0.016832  0.008676  0.026711 -0.003407   \n",
+       "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973  0.017011 -0.026414   \n",
+       "2015-11-24  0.001222  0.008176 -0.008251  0.008085 -0.005534  0.020428   \n",
+       "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283  0.010512  0.028151   \n",
+       "2015-11-27  0.000594 -0.002038  0.012605  0.008352 -0.004039 -0.002434   \n",
+       "\n",
+       "                NFLX       CRM        GD       AMT  ...       PSX       BLK  \\\n",
+       "2015-11-20  0.030111  0.004340  0.002066  0.008632  ... -0.007686  0.009385   \n",
+       "2015-11-23  0.009609 -0.002593 -0.006254 -0.005473  ...  0.005454  0.002180   \n",
+       "2015-11-24 -0.013757 -0.004828  0.006501 -0.006804  ...  0.010416 -0.017729   \n",
+       "2015-11-25  0.006893  0.000249 -0.002405 -0.001713  ... -0.003866  0.010678   \n",
+       "2015-11-27  0.010309 -0.005472  0.002617  0.005954  ... -0.000108 -0.006184   \n",
+       "\n",
+       "                TROW       JNJ       UNH       MMM       UPS       ACN  \\\n",
+       "2015-11-20 -0.000131 -0.000098  0.021152  0.003599  0.000000  0.006432   \n",
+       "2015-11-23 -0.002881  0.002830 -0.007170 -0.001887 -0.004899 -0.001204   \n",
+       "2015-11-24 -0.006960 -0.007103  0.009183 -0.005673 -0.001834 -0.004544   \n",
+       "2015-11-25  0.005157 -0.000784  0.010778 -0.000761  0.000870 -0.002329   \n",
+       "2015-11-27 -0.000789  0.004021 -0.000612  0.002284  0.006667  0.003361   \n",
+       "\n",
+       "                 PPG       NEE  \n",
+       "2015-11-20  0.012092  0.000297  \n",
+       "2015-11-23  0.008125 -0.005246  \n",
+       "2015-11-24  0.000190 -0.010747  \n",
+       "2015-11-25  0.009195 -0.005331  \n",
+       "2015-11-27 -0.002348  0.004956  \n",
+       "\n",
+       "[5 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "daily_returns = combined_portfolio_df.pct_change()\n",
+    "daily_returns.head()\n",
+    "\n",
+    "daily_returns.dropna(inplace=True)\n",
+    "\n",
+    "daily_returns.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>PPG</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>0.009976</td>\n",
+       "      <td>0.004635</td>\n",
+       "      <td>0.001658</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.012092</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>-0.003448</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.002146</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>0.008125</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>-0.011314</td>\n",
+       "      <td>0.001107</td>\n",
+       "      <td>-0.007709</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>0.000190</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>-0.003121</td>\n",
+       "      <td>-0.010323</td>\n",
+       "      <td>0.001233</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>0.009195</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>0.000379</td>\n",
+       "      <td>0.004470</td>\n",
+       "      <td>0.007328</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>-0.002348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.015977</td>\n",
+       "      <td>0.008432</td>\n",
+       "      <td>0.035520</td>\n",
+       "      <td>0.042578</td>\n",
+       "      <td>0.005042</td>\n",
+       "      <td>0.008110</td>\n",
+       "      <td>0.020715</td>\n",
+       "      <td>0.021848</td>\n",
+       "      <td>0.015370</td>\n",
+       "      <td>0.021200</td>\n",
+       "      <td>0.022787</td>\n",
+       "      <td>-0.012738</td>\n",
+       "      <td>0.023848</td>\n",
+       "      <td>0.014502</td>\n",
+       "      <td>0.033623</td>\n",
+       "      <td>0.010929</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.016111</td>\n",
+       "      <td>-0.003679</td>\n",
+       "      <td>0.019275</td>\n",
+       "      <td>0.012526</td>\n",
+       "      <td>0.018149</td>\n",
+       "      <td>0.009431</td>\n",
+       "      <td>0.016091</td>\n",
+       "      <td>0.016190</td>\n",
+       "      <td>0.000792</td>\n",
+       "      <td>0.007849</td>\n",
+       "      <td>0.007795</td>\n",
+       "      <td>0.020550</td>\n",
+       "      <td>0.019788</td>\n",
+       "      <td>0.026593</td>\n",
+       "      <td>0.002413</td>\n",
+       "      <td>0.012391</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.004813</td>\n",
+       "      <td>-0.001846</td>\n",
+       "      <td>0.025193</td>\n",
+       "      <td>0.014634</td>\n",
+       "      <td>0.003333</td>\n",
+       "      <td>-0.006046</td>\n",
+       "      <td>0.005768</td>\n",
+       "      <td>0.003162</td>\n",
+       "      <td>0.000500</td>\n",
+       "      <td>0.019352</td>\n",
+       "      <td>-0.010409</td>\n",
+       "      <td>0.007208</td>\n",
+       "      <td>-0.006892</td>\n",
+       "      <td>-0.008246</td>\n",
+       "      <td>0.003034</td>\n",
+       "      <td>-0.011582</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.008254</td>\n",
+       "      <td>0.003867</td>\n",
+       "      <td>-0.013713</td>\n",
+       "      <td>0.023042</td>\n",
+       "      <td>0.061568</td>\n",
+       "      <td>0.014653</td>\n",
+       "      <td>0.013273</td>\n",
+       "      <td>0.015640</td>\n",
+       "      <td>0.006705</td>\n",
+       "      <td>0.000420</td>\n",
+       "      <td>0.014812</td>\n",
+       "      <td>0.008122</td>\n",
+       "      <td>0.015771</td>\n",
+       "      <td>0.005726</td>\n",
+       "      <td>0.025053</td>\n",
+       "      <td>0.014543</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.005293</td>\n",
+       "      <td>-0.000335</td>\n",
+       "      <td>0.036543</td>\n",
+       "      <td>0.006208</td>\n",
+       "      <td>-0.013368</td>\n",
+       "      <td>-0.008992</td>\n",
+       "      <td>0.054957</td>\n",
+       "      <td>0.008475</td>\n",
+       "      <td>0.001737</td>\n",
+       "      <td>0.018060</td>\n",
+       "      <td>0.010127</td>\n",
+       "      <td>0.009746</td>\n",
+       "      <td>0.007737</td>\n",
+       "      <td>-0.001404</td>\n",
+       "      <td>0.004170</td>\n",
+       "      <td>-0.002457</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500      ORCL        SQ      NVDA      BABA       PFE  \\\n",
+       "2015-11-20  0.003810  0.008201 -0.016832  0.008676  0.026711 -0.003407   \n",
+       "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973  0.017011 -0.026414   \n",
+       "2015-11-24  0.001222  0.008176 -0.008251  0.008085 -0.005534  0.020428   \n",
+       "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283  0.010512  0.028151   \n",
+       "2015-11-27  0.000594 -0.002038  0.012605  0.008352 -0.004039 -0.002434   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.015977  0.008432  0.035520  0.042578  0.005042  0.008110   \n",
+       "2020-09-28  0.016111 -0.003679  0.019275  0.012526  0.018149  0.009431   \n",
+       "2020-09-29 -0.004813 -0.001846  0.025193  0.014634  0.003333 -0.006046   \n",
+       "2020-09-30  0.008254  0.003867 -0.013713  0.023042  0.061568  0.014653   \n",
+       "2020-10-01  0.005293 -0.000335  0.036543  0.006208 -0.013368 -0.008992   \n",
+       "\n",
+       "                NFLX       CRM       AMT        FB      MSFT      COST  \\\n",
+       "2015-11-20  0.030111  0.004340  0.008632  0.009976  0.004635  0.001658   \n",
+       "2015-11-23  0.009609 -0.002593 -0.005473 -0.003448  0.000000  0.002146   \n",
+       "2015-11-24 -0.013757 -0.004828 -0.006804 -0.011314  0.001107 -0.007709   \n",
+       "2015-11-25  0.006893  0.000249 -0.001713 -0.003121 -0.010323  0.001233   \n",
+       "2015-11-27  0.010309 -0.005472  0.005954  0.000379  0.004470  0.007328   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.020715  0.021848  0.015370  0.021200  0.022787 -0.012738   \n",
+       "2020-09-28  0.016091  0.016190  0.000792  0.007849  0.007795  0.020550   \n",
+       "2020-09-29  0.005768  0.003162  0.000500  0.019352 -0.010409  0.007208   \n",
+       "2020-09-30  0.013273  0.015640  0.006705  0.000420  0.014812  0.008122   \n",
+       "2020-10-01  0.054957  0.008475  0.001737  0.018060  0.010127  0.009746   \n",
+       "\n",
+       "                 BLK      TROW       UNH       PPG  \n",
+       "2015-11-20  0.009385 -0.000131  0.021152  0.012092  \n",
+       "2015-11-23  0.002180 -0.002881 -0.007170  0.008125  \n",
+       "2015-11-24 -0.017729 -0.006960  0.009183  0.000190  \n",
+       "2015-11-25  0.010678  0.005157  0.010778  0.009195  \n",
+       "2015-11-27 -0.006184 -0.000789 -0.000612 -0.002348  \n",
+       "...              ...       ...       ...       ...  \n",
+       "2020-09-25  0.023848  0.014502  0.033623  0.010929  \n",
+       "2020-09-28  0.019788  0.026593  0.002413  0.012391  \n",
+       "2020-09-29 -0.006892 -0.008246  0.003034 -0.011582  \n",
+       "2020-09-30  0.015771  0.005726  0.025053  0.014543  \n",
+       "2020-10-01  0.007737 -0.001404  0.004170 -0.002457  \n",
+       "\n",
+       "[1224 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Drop stocks that are not being used in our portfolio\n",
+    "#Keep the following: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ\n",
+    "\n",
+    "Portfolio_returns= daily_returns.drop(columns=['GD','HD','WMT', 'VZ','MCD','SBUX','CLX','PSX','JNJ','MMM','UPS','ACN','NEE'])\n",
+    "\n",
+    "Core_returns= Portfolio_returns\n",
+    "\n",
+    "Core_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>PPG</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>SP500</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>0.632176</td>\n",
+       "      <td>0.835836</td>\n",
+       "      <td>0.585711</td>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>0.698629</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ORCL</th>\n",
+       "      <td>0.717214</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.386958</td>\n",
+       "      <td>0.440505</td>\n",
+       "      <td>0.401409</td>\n",
+       "      <td>0.489646</td>\n",
+       "      <td>0.368666</td>\n",
+       "      <td>0.519628</td>\n",
+       "      <td>0.449295</td>\n",
+       "      <td>0.457322</td>\n",
+       "      <td>0.646769</td>\n",
+       "      <td>0.426380</td>\n",
+       "      <td>0.574767</td>\n",
+       "      <td>0.618554</td>\n",
+       "      <td>0.462337</td>\n",
+       "      <td>0.465708</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SQ</th>\n",
+       "      <td>0.567302</td>\n",
+       "      <td>0.386958</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.497670</td>\n",
+       "      <td>0.435255</td>\n",
+       "      <td>0.266798</td>\n",
+       "      <td>0.406967</td>\n",
+       "      <td>0.522806</td>\n",
+       "      <td>0.308892</td>\n",
+       "      <td>0.436800</td>\n",
+       "      <td>0.543734</td>\n",
+       "      <td>0.292254</td>\n",
+       "      <td>0.431933</td>\n",
+       "      <td>0.409616</td>\n",
+       "      <td>0.378167</td>\n",
+       "      <td>0.371528</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NVDA</th>\n",
+       "      <td>0.619705</td>\n",
+       "      <td>0.440505</td>\n",
+       "      <td>0.497670</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.511204</td>\n",
+       "      <td>0.302971</td>\n",
+       "      <td>0.432834</td>\n",
+       "      <td>0.518064</td>\n",
+       "      <td>0.317262</td>\n",
+       "      <td>0.483370</td>\n",
+       "      <td>0.605723</td>\n",
+       "      <td>0.358869</td>\n",
+       "      <td>0.480509</td>\n",
+       "      <td>0.446315</td>\n",
+       "      <td>0.409963</td>\n",
+       "      <td>0.381751</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BABA</th>\n",
+       "      <td>0.550555</td>\n",
+       "      <td>0.401409</td>\n",
+       "      <td>0.435255</td>\n",
+       "      <td>0.511204</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.271929</td>\n",
+       "      <td>0.424142</td>\n",
+       "      <td>0.459182</td>\n",
+       "      <td>0.256468</td>\n",
+       "      <td>0.471006</td>\n",
+       "      <td>0.543635</td>\n",
+       "      <td>0.267241</td>\n",
+       "      <td>0.454519</td>\n",
+       "      <td>0.411006</td>\n",
+       "      <td>0.322509</td>\n",
+       "      <td>0.386716</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.630865</td>\n",
+       "      <td>0.489646</td>\n",
+       "      <td>0.266798</td>\n",
+       "      <td>0.302971</td>\n",
+       "      <td>0.271929</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.255231</td>\n",
+       "      <td>0.343271</td>\n",
+       "      <td>0.426877</td>\n",
+       "      <td>0.324569</td>\n",
+       "      <td>0.485601</td>\n",
+       "      <td>0.412793</td>\n",
+       "      <td>0.505123</td>\n",
+       "      <td>0.535580</td>\n",
+       "      <td>0.505540</td>\n",
+       "      <td>0.394458</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NFLX</th>\n",
+       "      <td>0.477013</td>\n",
+       "      <td>0.368666</td>\n",
+       "      <td>0.406967</td>\n",
+       "      <td>0.432834</td>\n",
+       "      <td>0.424142</td>\n",
+       "      <td>0.255231</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.517518</td>\n",
+       "      <td>0.224412</td>\n",
+       "      <td>0.472848</td>\n",
+       "      <td>0.524701</td>\n",
+       "      <td>0.312532</td>\n",
+       "      <td>0.343955</td>\n",
+       "      <td>0.336051</td>\n",
+       "      <td>0.337498</td>\n",
+       "      <td>0.236955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CRM</th>\n",
+       "      <td>0.661607</td>\n",
+       "      <td>0.519628</td>\n",
+       "      <td>0.522806</td>\n",
+       "      <td>0.518064</td>\n",
+       "      <td>0.459182</td>\n",
+       "      <td>0.343271</td>\n",
+       "      <td>0.517518</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.385774</td>\n",
+       "      <td>0.559551</td>\n",
+       "      <td>0.689552</td>\n",
+       "      <td>0.362922</td>\n",
+       "      <td>0.517619</td>\n",
+       "      <td>0.482899</td>\n",
+       "      <td>0.426561</td>\n",
+       "      <td>0.397626</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMT</th>\n",
+       "      <td>0.610404</td>\n",
+       "      <td>0.449295</td>\n",
+       "      <td>0.308892</td>\n",
+       "      <td>0.317262</td>\n",
+       "      <td>0.256468</td>\n",
+       "      <td>0.426877</td>\n",
+       "      <td>0.224412</td>\n",
+       "      <td>0.385774</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.354050</td>\n",
+       "      <td>0.499342</td>\n",
+       "      <td>0.375531</td>\n",
+       "      <td>0.487550</td>\n",
+       "      <td>0.449716</td>\n",
+       "      <td>0.469692</td>\n",
+       "      <td>0.405584</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FB</th>\n",
+       "      <td>0.632176</td>\n",
+       "      <td>0.457322</td>\n",
+       "      <td>0.436800</td>\n",
+       "      <td>0.483370</td>\n",
+       "      <td>0.471006</td>\n",
+       "      <td>0.324569</td>\n",
+       "      <td>0.472848</td>\n",
+       "      <td>0.559551</td>\n",
+       "      <td>0.354050</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.629071</td>\n",
+       "      <td>0.333109</td>\n",
+       "      <td>0.452998</td>\n",
+       "      <td>0.463954</td>\n",
+       "      <td>0.396961</td>\n",
+       "      <td>0.355863</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>0.835836</td>\n",
+       "      <td>0.646769</td>\n",
+       "      <td>0.543734</td>\n",
+       "      <td>0.605723</td>\n",
+       "      <td>0.543635</td>\n",
+       "      <td>0.485601</td>\n",
+       "      <td>0.524701</td>\n",
+       "      <td>0.689552</td>\n",
+       "      <td>0.499342</td>\n",
+       "      <td>0.629071</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.534779</td>\n",
+       "      <td>0.644817</td>\n",
+       "      <td>0.620536</td>\n",
+       "      <td>0.564042</td>\n",
+       "      <td>0.488388</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COST</th>\n",
+       "      <td>0.585711</td>\n",
+       "      <td>0.426380</td>\n",
+       "      <td>0.292254</td>\n",
+       "      <td>0.358869</td>\n",
+       "      <td>0.267241</td>\n",
+       "      <td>0.412793</td>\n",
+       "      <td>0.312532</td>\n",
+       "      <td>0.362922</td>\n",
+       "      <td>0.375531</td>\n",
+       "      <td>0.333109</td>\n",
+       "      <td>0.534779</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.442151</td>\n",
+       "      <td>0.487109</td>\n",
+       "      <td>0.419567</td>\n",
+       "      <td>0.324210</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BLK</th>\n",
+       "      <td>0.820446</td>\n",
+       "      <td>0.574767</td>\n",
+       "      <td>0.431933</td>\n",
+       "      <td>0.480509</td>\n",
+       "      <td>0.454519</td>\n",
+       "      <td>0.505123</td>\n",
+       "      <td>0.343955</td>\n",
+       "      <td>0.517619</td>\n",
+       "      <td>0.487550</td>\n",
+       "      <td>0.452998</td>\n",
+       "      <td>0.644817</td>\n",
+       "      <td>0.442151</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.775532</td>\n",
+       "      <td>0.573321</td>\n",
+       "      <td>0.624727</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TROW</th>\n",
+       "      <td>0.800011</td>\n",
+       "      <td>0.618554</td>\n",
+       "      <td>0.409616</td>\n",
+       "      <td>0.446315</td>\n",
+       "      <td>0.411006</td>\n",
+       "      <td>0.535580</td>\n",
+       "      <td>0.336051</td>\n",
+       "      <td>0.482899</td>\n",
+       "      <td>0.449716</td>\n",
+       "      <td>0.463954</td>\n",
+       "      <td>0.620536</td>\n",
+       "      <td>0.487109</td>\n",
+       "      <td>0.775532</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.531681</td>\n",
+       "      <td>0.531371</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>UNH</th>\n",
+       "      <td>0.708231</td>\n",
+       "      <td>0.462337</td>\n",
+       "      <td>0.378167</td>\n",
+       "      <td>0.409963</td>\n",
+       "      <td>0.322509</td>\n",
+       "      <td>0.505540</td>\n",
+       "      <td>0.337498</td>\n",
+       "      <td>0.426561</td>\n",
+       "      <td>0.469692</td>\n",
+       "      <td>0.396961</td>\n",
+       "      <td>0.564042</td>\n",
+       "      <td>0.419567</td>\n",
+       "      <td>0.573321</td>\n",
+       "      <td>0.531681</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.496914</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PPG</th>\n",
+       "      <td>0.698629</td>\n",
+       "      <td>0.465708</td>\n",
+       "      <td>0.371528</td>\n",
+       "      <td>0.381751</td>\n",
+       "      <td>0.386716</td>\n",
+       "      <td>0.394458</td>\n",
+       "      <td>0.236955</td>\n",
+       "      <td>0.397626</td>\n",
+       "      <td>0.405584</td>\n",
+       "      <td>0.355863</td>\n",
+       "      <td>0.488388</td>\n",
+       "      <td>0.324210</td>\n",
+       "      <td>0.624727</td>\n",
+       "      <td>0.531371</td>\n",
+       "      <td>0.496914</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          SP500      ORCL        SQ      NVDA      BABA       PFE      NFLX  \\\n",
+       "SP500  1.000000  0.717214  0.567302  0.619705  0.550555  0.630865  0.477013   \n",
+       "ORCL   0.717214  1.000000  0.386958  0.440505  0.401409  0.489646  0.368666   \n",
+       "SQ     0.567302  0.386958  1.000000  0.497670  0.435255  0.266798  0.406967   \n",
+       "NVDA   0.619705  0.440505  0.497670  1.000000  0.511204  0.302971  0.432834   \n",
+       "BABA   0.550555  0.401409  0.435255  0.511204  1.000000  0.271929  0.424142   \n",
+       "PFE    0.630865  0.489646  0.266798  0.302971  0.271929  1.000000  0.255231   \n",
+       "NFLX   0.477013  0.368666  0.406967  0.432834  0.424142  0.255231  1.000000   \n",
+       "CRM    0.661607  0.519628  0.522806  0.518064  0.459182  0.343271  0.517518   \n",
+       "AMT    0.610404  0.449295  0.308892  0.317262  0.256468  0.426877  0.224412   \n",
+       "FB     0.632176  0.457322  0.436800  0.483370  0.471006  0.324569  0.472848   \n",
+       "MSFT   0.835836  0.646769  0.543734  0.605723  0.543635  0.485601  0.524701   \n",
+       "COST   0.585711  0.426380  0.292254  0.358869  0.267241  0.412793  0.312532   \n",
+       "BLK    0.820446  0.574767  0.431933  0.480509  0.454519  0.505123  0.343955   \n",
+       "TROW   0.800011  0.618554  0.409616  0.446315  0.411006  0.535580  0.336051   \n",
+       "UNH    0.708231  0.462337  0.378167  0.409963  0.322509  0.505540  0.337498   \n",
+       "PPG    0.698629  0.465708  0.371528  0.381751  0.386716  0.394458  0.236955   \n",
+       "\n",
+       "            CRM       AMT        FB      MSFT      COST       BLK      TROW  \\\n",
+       "SP500  0.661607  0.610404  0.632176  0.835836  0.585711  0.820446  0.800011   \n",
+       "ORCL   0.519628  0.449295  0.457322  0.646769  0.426380  0.574767  0.618554   \n",
+       "SQ     0.522806  0.308892  0.436800  0.543734  0.292254  0.431933  0.409616   \n",
+       "NVDA   0.518064  0.317262  0.483370  0.605723  0.358869  0.480509  0.446315   \n",
+       "BABA   0.459182  0.256468  0.471006  0.543635  0.267241  0.454519  0.411006   \n",
+       "PFE    0.343271  0.426877  0.324569  0.485601  0.412793  0.505123  0.535580   \n",
+       "NFLX   0.517518  0.224412  0.472848  0.524701  0.312532  0.343955  0.336051   \n",
+       "CRM    1.000000  0.385774  0.559551  0.689552  0.362922  0.517619  0.482899   \n",
+       "AMT    0.385774  1.000000  0.354050  0.499342  0.375531  0.487550  0.449716   \n",
+       "FB     0.559551  0.354050  1.000000  0.629071  0.333109  0.452998  0.463954   \n",
+       "MSFT   0.689552  0.499342  0.629071  1.000000  0.534779  0.644817  0.620536   \n",
+       "COST   0.362922  0.375531  0.333109  0.534779  1.000000  0.442151  0.487109   \n",
+       "BLK    0.517619  0.487550  0.452998  0.644817  0.442151  1.000000  0.775532   \n",
+       "TROW   0.482899  0.449716  0.463954  0.620536  0.487109  0.775532  1.000000   \n",
+       "UNH    0.426561  0.469692  0.396961  0.564042  0.419567  0.573321  0.531681   \n",
+       "PPG    0.397626  0.405584  0.355863  0.488388  0.324210  0.624727  0.531371   \n",
+       "\n",
+       "            UNH       PPG  \n",
+       "SP500  0.708231  0.698629  \n",
+       "ORCL   0.462337  0.465708  \n",
+       "SQ     0.378167  0.371528  \n",
+       "NVDA   0.409963  0.381751  \n",
+       "BABA   0.322509  0.386716  \n",
+       "PFE    0.505540  0.394458  \n",
+       "NFLX   0.337498  0.236955  \n",
+       "CRM    0.426561  0.397626  \n",
+       "AMT    0.469692  0.405584  \n",
+       "FB     0.396961  0.355863  \n",
+       "MSFT   0.564042  0.488388  \n",
+       "COST   0.419567  0.324210  \n",
+       "BLK    0.573321  0.624727  \n",
+       "TROW   0.531681  0.531371  \n",
+       "UNH    1.000000  0.496914  \n",
+       "PPG    0.496914  1.000000  "
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "correlation_of_final_positions= Core_returns.corr()\n",
+    "correlation_of_final_positions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x1080 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Visualization of the Correlations\n",
+    "\n",
+    "plt.subplots(figsize=(20,15))\n",
+    "sns.heatmap(correlation_of_final_positions);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2015-11-20    0.006532\n",
+       "2015-11-23   -0.003925\n",
+       "2015-11-24   -0.000940\n",
+       "2015-11-25    0.002003\n",
+       "2015-11-27    0.001257\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Use the `dot` function to multiply the weights by each stock's daily return to get the portfolio daily return\n",
+    "weights = [0.40,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,]\n",
+    "core_portfolio_returns = Core_returns.dot(weights)\n",
+    "core_portfolio_returns.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    " # plot the daily portfolio returns\n",
+    "core_portfolio_returns.plot(figsize=(20,10), title=\"Daily Portfolio return\"); "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2015-11-20    0.006532\n",
+       "2015-11-23    0.002581\n",
+       "2015-11-24    0.001639\n",
+       "2015-11-25    0.003645\n",
+       "2015-11-27    0.004906\n",
+       "                ...   \n",
+       "2020-09-25    1.474158\n",
+       "2020-09-28    1.508525\n",
+       "2020-09-29    1.507425\n",
+       "2020-09-30    1.536714\n",
+       "2020-10-01    1.555398\n",
+       "Length: 1224, dtype: float64"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Calculating Cumulative Product\n",
+    "core_cumulative_returns = (1 + core_portfolio_returns).cumprod() - 1\n",
+    "core_cumulative_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "core_cumulative_returns.plot(figsize=(20,10), title=\"Cumulative Portfolio return\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.015977</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.016111</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.004813</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.008254</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.005293</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500\n",
+       "2015-11-20  0.003810\n",
+       "2015-11-23 -0.001235\n",
+       "2015-11-24  0.001222\n",
+       "2015-11-25 -0.000129\n",
+       "2015-11-27  0.000594\n",
+       "...              ...\n",
+       "2020-09-25  0.015977\n",
+       "2020-09-28  0.016111\n",
+       "2020-09-29 -0.004813\n",
+       "2020-09-30  0.008254\n",
+       "2020-10-01  0.005293\n",
+       "\n",
+       "[1224 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#SP500 daily returns\n",
+    "\n",
+    "SP500_daily_returns= Core_returns.drop(columns=['AMT', 'ORCL', 'PPG', 'COST', 'MSFT', 'UNH', 'TROW', 'BLK', 'NVDA', 'FB', 'BABA', 'CRM', 'PFE', 'NFLX', 'SQ'])\n",
+    "\n",
+    "SP500_daily_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>0.002571</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.003796</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>0.003666</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.004262</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.584853</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.610386</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>0.602636</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.615864</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.624416</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500\n",
+       "2015-11-20  0.003810\n",
+       "2015-11-23  0.002571\n",
+       "2015-11-24  0.003796\n",
+       "2015-11-25  0.003666\n",
+       "2015-11-27  0.004262\n",
+       "...              ...\n",
+       "2020-09-25  0.584853\n",
+       "2020-09-28  0.610386\n",
+       "2020-09-29  0.602636\n",
+       "2020-09-30  0.615864\n",
+       "2020-10-01  0.624416\n",
+       "\n",
+       "[1224 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Calculating Cumulative Product for SP500\n",
+    "Sp500_cumulative_returns = (1 + SP500_daily_returns).cumprod() - 1\n",
+    "Sp500_cumulative_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "SP500_daily_returns.plot(figsize=(20,10), title=\"Daily Returns of SP500\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "Sp500_cumulative_returns.plot(figsize=(20,10), title=\"Cumulative Returns of SP500\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(core_portfolio_returns)\n",
+    "plt.plot(SP500_daily_returns)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(core_cumulative_returns)\n",
+    "plt.plot(Sp500_cumulative_returns)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.013021605893950699\n",
+      "0.0008521218194888947\n",
+      "SP500    0.01216\n",
+      "dtype: float64\n",
+      "SP500    0.000471\n",
+      "dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "#calculate Std Dev of Portfolio\n",
+    "\n",
+    "print(core_portfolio_returns.std())\n",
+    "print(core_portfolio_returns.mean())\n",
+    "\n",
+    "print(SP500_daily_returns.std())\n",
+    "print(SP500_daily_returns.mean())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.0388130801041227"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sharpe_ratios = (core_portfolio_returns.mean() * 252) / (core_portfolio_returns.std() * np.sqrt(252))\n",
+    "sharpe_ratios"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>PPG</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>106.26</td>\n",
+       "      <td>53.94</td>\n",
+       "      <td>162.83</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>103.37</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>107.32</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>163.10</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>104.62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>106.95</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>163.45</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>105.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>105.74</td>\n",
+       "      <td>54.25</td>\n",
+       "      <td>162.19</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>105.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>105.41</td>\n",
+       "      <td>53.69</td>\n",
+       "      <td>162.39</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>106.46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>254.82</td>\n",
+       "      <td>207.82</td>\n",
+       "      <td>342.58</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>120.25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>256.82</td>\n",
+       "      <td>209.44</td>\n",
+       "      <td>349.62</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>121.74</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>261.79</td>\n",
+       "      <td>207.26</td>\n",
+       "      <td>352.14</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>120.33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>261.90</td>\n",
+       "      <td>210.33</td>\n",
+       "      <td>355.00</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>122.08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>266.63</td>\n",
+       "      <td>212.46</td>\n",
+       "      <td>358.46</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>121.78</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  SP500       ORCL          SQ        NVDA        BABA  \\\n",
+       "2015-11-19  2081.239990  36.108597   13.070000   30.458263   77.870003   \n",
+       "2015-11-20  2089.169922  36.404728   12.850000   30.722525   79.949997   \n",
+       "2015-11-23  2086.590088  36.219639   12.120000   30.262524   81.309998   \n",
+       "2015-11-24  2089.139893  36.515770   12.020000   30.507206   80.860001   \n",
+       "2015-11-25  2088.870117  36.330700   11.900000   30.468054   81.709999   \n",
+       "...                 ...        ...         ...         ...         ...   \n",
+       "2020-09-25  3298.459961  59.799999  157.720001  514.950012  271.089996   \n",
+       "2020-09-28  3351.600098  59.580002  160.759995  521.400024  276.010010   \n",
+       "2020-09-29  3335.469971  59.470001  164.809998  529.030029  276.929993   \n",
+       "2020-09-30  3363.000000  59.700001  162.550003  541.219971  293.980011   \n",
+       "2020-10-01  3380.800049  59.680000  168.490005  544.580017  290.049988   \n",
+       "\n",
+       "                  PFE        NFLX         CRM     AMT      FB    MSFT    COST  \\\n",
+       "2015-11-19  27.049994  120.220001   80.639999   99.63  106.26   53.94  162.83   \n",
+       "2015-11-20  26.957846  123.839996   80.989998  100.49  107.32   54.19  163.10   \n",
+       "2015-11-23  26.245783  125.029999   80.779999   99.94  106.95   54.19  163.45   \n",
+       "2015-11-24  26.781923  123.309998   80.389999   99.26  105.74   54.25  162.19   \n",
+       "2015-11-25  27.535873  124.160004   80.410004   99.09  105.41   53.69  162.39   \n",
+       "...               ...         ...         ...     ...     ...     ...     ...   \n",
+       "2020-09-25  36.049999  482.880005  242.740005  239.81  254.82  207.82  342.58   \n",
+       "2020-09-28  36.389999  490.649994  246.669998  240.00  256.82  209.44  349.62   \n",
+       "2020-09-29  36.169998  493.480011  247.449997  240.12  261.79  207.26  352.14   \n",
+       "2020-09-30  36.700001  500.029999  251.320007  241.73  261.90  210.33  355.00   \n",
+       "2020-10-01  36.369999  527.510010  253.449997  242.15  266.63  212.46  358.46   \n",
+       "\n",
+       "               BLK    TROW     UNH     PPG  \n",
+       "2015-11-19  359.09   76.38  110.63  103.37  \n",
+       "2015-11-20  362.46   76.37  112.97  104.62  \n",
+       "2015-11-23  363.25   76.15  112.16  105.47  \n",
+       "2015-11-24  356.81   75.62  113.19  105.49  \n",
+       "2015-11-25  360.62   76.01  114.41  106.46  \n",
+       "...            ...     ...     ...     ...  \n",
+       "2020-09-25  547.81  125.22  302.50  120.25  \n",
+       "2020-09-28  558.65  128.55  303.23  121.74  \n",
+       "2020-09-29  554.80  127.49  304.15  120.33  \n",
+       "2020-09-30  563.55  128.22  311.77  122.08  \n",
+       "2020-10-01  567.91  128.04  313.07  121.78  \n",
+       "\n",
+       "[1225 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "portfolio_5yrs = combined_portfolio_df.drop(columns=['MCD', 'VZ', 'JNJ', 'CLX', 'WMT', 'NEE', 'GD', 'MMM', 'ACN', 'UPS', 'HD', 'SBUX', 'PSX'])\n",
+    "portfolio_5yrs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "portfolio_5yrs.plot(title='Daily Returns of each individual stock', figsize=(20,10));"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 2160x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "portfolio_5yrs_daily = portfolio_5yrs.pct_change()\n",
+    "portfolio_5yrs_1 = (1 + portfolio_5yrs_daily).cumprod() - 1\n",
+    "portfolio_5yrs_1.plot(figsize=(30,10), title='Cumulative Returns of Each Stock in our Portfolio');"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Predict the Direction of the Portfolio compared to the S&P500 Using Monte Carlo Simulation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Monte Carlo Simulation of the Portfolio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load .env enviroment variables\n",
+    "from dotenv import load_dotenv\n",
+    "load_dotenv()\n",
+    "\n",
+    "# Set Alpaca API key and secret\n",
+    "alpaca_api_key = os.getenv(\"ALPACA_API_KEY\")\n",
+    "alpaca_secret_key = os.getenv(\"ALPACA_SECRET_KEY\")\n",
+    "\n",
+    "api = tradeapi.REST(\n",
+    "    alpaca_api_key,\n",
+    "    alpaca_secret_key,\n",
+    "    api_version = \"v2\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set timeframe to '1D'\n",
+    "timeframe = \"1D\"\n",
+    "\n",
+    "# Set start and end datetimes between now and 3 years ago.\n",
+    "start_date = pd.Timestamp(\"2015-11-19\", tz=\"America/New_York\").isoformat()\n",
+    "end_date = pd.Timestamp(\"2020-10-01\", tz=\"America/New_York\").isoformat()\n",
+    "\n",
+    "# Set the ticker information\n",
+    "tickers = ['SPY','AMT','ORCL','PPG','COST','MSFT','UNH','TROW','BLK','NVDA','FB','BABA','CRM','PFE','NFLX','SQ']\n",
+    "\n",
+    "# Get 5 years of past data of portfolios\n",
+    "df_ticker = api.get_barset(\n",
+    "    tickers,\n",
+    "    timeframe,\n",
+    "    start=start_date,\n",
+    "    end=end_date\n",
+    ").df\n",
+    "\n",
+    "df_ticker.index = df_ticker.index.date\n",
+    "df_ticker.head()\n",
+    "df_ticker.to_csv('df_ticker.csv') "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Configuring a Monte Carlo simulation to forecast five years cumulative returns\n",
+    "MC_fiveyear = MCSimulation(\n",
+    "    portfolio_data = df_ticker,\n",
+    "    weights = [0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.40,0.04,0.04,0.04],\n",
+    "    num_simulation = 500,\n",
+    "    num_trading_days = 252*5\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"6\" halign=\"left\">AMT</th>\n",
+       "      <th colspan=\"4\" halign=\"left\">BABA</th>\n",
+       "      <th>...</th>\n",
+       "      <th colspan=\"4\" halign=\"left\">TROW</th>\n",
+       "      <th colspan=\"6\" halign=\"left\">UNH</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>open</th>\n",
+       "      <th>high</th>\n",
+       "      <th>low</th>\n",
+       "      <th>close</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>daily_return</th>\n",
+       "      <th>open</th>\n",
+       "      <th>high</th>\n",
+       "      <th>low</th>\n",
+       "      <th>close</th>\n",
+       "      <th>...</th>\n",
+       "      <th>low</th>\n",
+       "      <th>close</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>daily_return</th>\n",
+       "      <th>open</th>\n",
+       "      <th>high</th>\n",
+       "      <th>low</th>\n",
+       "      <th>close</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>daily_return</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>99.87</td>\n",
+       "      <td>100.26</td>\n",
+       "      <td>99.22</td>\n",
+       "      <td>99.62</td>\n",
+       "      <td>1223026.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>78.06</td>\n",
+       "      <td>79.150</td>\n",
+       "      <td>77.403</td>\n",
+       "      <td>77.910</td>\n",
+       "      <td>...</td>\n",
+       "      <td>76.0100</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>521700</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>109.74</td>\n",
+       "      <td>113.71</td>\n",
+       "      <td>109.61</td>\n",
+       "      <td>110.61</td>\n",
+       "      <td>13240076.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>100.20</td>\n",
+       "      <td>100.87</td>\n",
+       "      <td>99.53</td>\n",
+       "      <td>100.47</td>\n",
+       "      <td>1023837.0</td>\n",
+       "      <td>0.008532</td>\n",
+       "      <td>78.44</td>\n",
+       "      <td>80.785</td>\n",
+       "      <td>78.400</td>\n",
+       "      <td>79.965</td>\n",
+       "      <td>...</td>\n",
+       "      <td>75.9100</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>671459</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>111.01</td>\n",
+       "      <td>114.44</td>\n",
+       "      <td>110.60</td>\n",
+       "      <td>113.00</td>\n",
+       "      <td>5609101.0</td>\n",
+       "      <td>0.021607</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>100.49</td>\n",
+       "      <td>100.67</td>\n",
+       "      <td>99.45</td>\n",
+       "      <td>99.93</td>\n",
+       "      <td>755145.0</td>\n",
+       "      <td>-0.005375</td>\n",
+       "      <td>80.45</td>\n",
+       "      <td>82.190</td>\n",
+       "      <td>79.970</td>\n",
+       "      <td>81.310</td>\n",
+       "      <td>...</td>\n",
+       "      <td>76.0200</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>425575</td>\n",
+       "      <td>-0.003011</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>114.49</td>\n",
+       "      <td>112.10</td>\n",
+       "      <td>112.15</td>\n",
+       "      <td>3006888.0</td>\n",
+       "      <td>-0.007522</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>99.28</td>\n",
+       "      <td>99.45</td>\n",
+       "      <td>98.32</td>\n",
+       "      <td>99.27</td>\n",
+       "      <td>1054663.0</td>\n",
+       "      <td>-0.006605</td>\n",
+       "      <td>80.85</td>\n",
+       "      <td>81.110</td>\n",
+       "      <td>79.270</td>\n",
+       "      <td>80.790</td>\n",
+       "      <td>...</td>\n",
+       "      <td>74.9701</td>\n",
+       "      <td>75.63</td>\n",
+       "      <td>593463</td>\n",
+       "      <td>-0.006829</td>\n",
+       "      <td>111.70</td>\n",
+       "      <td>113.45</td>\n",
+       "      <td>111.06</td>\n",
+       "      <td>113.23</td>\n",
+       "      <td>2363542.0</td>\n",
+       "      <td>0.009630</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>99.15</td>\n",
+       "      <td>99.60</td>\n",
+       "      <td>98.90</td>\n",
+       "      <td>99.07</td>\n",
+       "      <td>622603.0</td>\n",
+       "      <td>-0.002015</td>\n",
+       "      <td>80.91</td>\n",
+       "      <td>82.675</td>\n",
+       "      <td>80.820</td>\n",
+       "      <td>81.630</td>\n",
+       "      <td>...</td>\n",
+       "      <td>75.3400</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>631376</td>\n",
+       "      <td>0.005024</td>\n",
+       "      <td>113.47</td>\n",
+       "      <td>115.05</td>\n",
+       "      <td>113.00</td>\n",
+       "      <td>114.42</td>\n",
+       "      <td>2408146.0</td>\n",
+       "      <td>0.010510</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 96 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               AMT                                                  BABA  \\\n",
+       "              open    high    low   close     volume daily_return   open   \n",
+       "2015-11-19   99.87  100.26  99.22   99.62  1223026.0          NaN  78.06   \n",
+       "2015-11-20  100.20  100.87  99.53  100.47  1023837.0     0.008532  78.44   \n",
+       "2015-11-23  100.49  100.67  99.45   99.93   755145.0    -0.005375  80.45   \n",
+       "2015-11-24   99.28   99.45  98.32   99.27  1054663.0    -0.006605  80.85   \n",
+       "2015-11-25   99.15   99.60  98.90   99.07   622603.0    -0.002015  80.91   \n",
+       "\n",
+       "                                    ...     TROW                              \\\n",
+       "              high     low   close  ...      low  close  volume daily_return   \n",
+       "2015-11-19  79.150  77.403  77.910  ...  76.0100  76.38  521700          NaN   \n",
+       "2015-11-20  80.785  78.400  79.965  ...  75.9100  76.38  671459     0.000000   \n",
+       "2015-11-23  82.190  79.970  81.310  ...  76.0200  76.15  425575    -0.003011   \n",
+       "2015-11-24  81.110  79.270  80.790  ...  74.9701  75.63  593463    -0.006829   \n",
+       "2015-11-25  82.675  80.820  81.630  ...  75.3400  76.01  631376     0.005024   \n",
+       "\n",
+       "               UNH                                                   \n",
+       "              open    high     low   close      volume daily_return  \n",
+       "2015-11-19  109.74  113.71  109.61  110.61  13240076.0          NaN  \n",
+       "2015-11-20  111.01  114.44  110.60  113.00   5609101.0     0.021607  \n",
+       "2015-11-23  112.97  114.49  112.10  112.15   3006888.0    -0.007522  \n",
+       "2015-11-24  111.70  113.45  111.06  113.23   2363542.0     0.009630  \n",
+       "2015-11-25  113.47  115.05  113.00  114.42   2408146.0     0.010510  \n",
+       "\n",
+       "[5 rows x 96 columns]"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Printing the simulation input data\n",
+    "MC_fiveyear.portfolio_data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running Monte Carlo simulation number 0.\n",
+      "Running Monte Carlo simulation number 10.\n",
+      "Running Monte Carlo simulation number 20.\n",
+      "Running Monte Carlo simulation number 30.\n",
+      "Running Monte Carlo simulation number 40.\n",
+      "Running Monte Carlo simulation number 50.\n",
+      "Running Monte Carlo simulation number 60.\n",
+      "Running Monte Carlo simulation number 70.\n",
+      "Running Monte Carlo simulation number 80.\n",
+      "Running Monte Carlo simulation number 90.\n",
+      "Running Monte Carlo simulation number 100.\n",
+      "Running Monte Carlo simulation number 110.\n",
+      "Running Monte Carlo simulation number 120.\n",
+      "Running Monte Carlo simulation number 130.\n",
+      "Running Monte Carlo simulation number 140.\n",
+      "Running Monte Carlo simulation number 150.\n",
+      "Running Monte Carlo simulation number 160.\n",
+      "Running Monte Carlo simulation number 170.\n",
+      "Running Monte Carlo simulation number 180.\n",
+      "Running Monte Carlo simulation number 190.\n",
+      "Running Monte Carlo simulation number 200.\n",
+      "Running Monte Carlo simulation number 210.\n",
+      "Running Monte Carlo simulation number 220.\n",
+      "Running Monte Carlo simulation number 230.\n",
+      "Running Monte Carlo simulation number 240.\n",
+      "Running Monte Carlo simulation number 250.\n",
+      "Running Monte Carlo simulation number 260.\n",
+      "Running Monte Carlo simulation number 270.\n",
+      "Running Monte Carlo simulation number 280.\n",
+      "Running Monte Carlo simulation number 290.\n",
+      "Running Monte Carlo simulation number 300.\n",
+      "Running Monte Carlo simulation number 310.\n",
+      "Running Monte Carlo simulation number 320.\n",
+      "Running Monte Carlo simulation number 330.\n",
+      "Running Monte Carlo simulation number 340.\n",
+      "Running Monte Carlo simulation number 350.\n",
+      "Running Monte Carlo simulation number 360.\n",
+      "Running Monte Carlo simulation number 370.\n",
+      "Running Monte Carlo simulation number 380.\n",
+      "Running Monte Carlo simulation number 390.\n",
+      "Running Monte Carlo simulation number 400.\n",
+      "Running Monte Carlo simulation number 410.\n",
+      "Running Monte Carlo simulation number 420.\n",
+      "Running Monte Carlo simulation number 430.\n",
+      "Running Monte Carlo simulation number 440.\n",
+      "Running Monte Carlo simulation number 450.\n",
+      "Running Monte Carlo simulation number 460.\n",
+      "Running Monte Carlo simulation number 470.\n",
+      "Running Monte Carlo simulation number 480.\n",
+      "Running Monte Carlo simulation number 490.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <th>4</th>\n",
+       "      <th>5</th>\n",
+       "      <th>6</th>\n",
+       "      <th>7</th>\n",
+       "      <th>8</th>\n",
+       "      <th>9</th>\n",
+       "      <th>...</th>\n",
+       "      <th>490</th>\n",
+       "      <th>491</th>\n",
+       "      <th>492</th>\n",
+       "      <th>493</th>\n",
+       "      <th>494</th>\n",
+       "      <th>495</th>\n",
+       "      <th>496</th>\n",
+       "      <th>497</th>\n",
+       "      <th>498</th>\n",
+       "      <th>499</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.988906</td>\n",
+       "      <td>0.992738</td>\n",
+       "      <td>1.004556</td>\n",
+       "      <td>0.999826</td>\n",
+       "      <td>1.019771</td>\n",
+       "      <td>1.007745</td>\n",
+       "      <td>1.007251</td>\n",
+       "      <td>0.998771</td>\n",
+       "      <td>1.004968</td>\n",
+       "      <td>1.000143</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.999099</td>\n",
+       "      <td>1.002478</td>\n",
+       "      <td>0.995256</td>\n",
+       "      <td>1.003035</td>\n",
+       "      <td>0.999229</td>\n",
+       "      <td>1.002819</td>\n",
+       "      <td>0.997936</td>\n",
+       "      <td>1.000725</td>\n",
+       "      <td>1.004905</td>\n",
+       "      <td>1.009358</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.000231</td>\n",
+       "      <td>0.983574</td>\n",
+       "      <td>1.007855</td>\n",
+       "      <td>0.992816</td>\n",
+       "      <td>1.021925</td>\n",
+       "      <td>1.011343</td>\n",
+       "      <td>1.012067</td>\n",
+       "      <td>0.990642</td>\n",
+       "      <td>1.003769</td>\n",
+       "      <td>1.006738</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.987214</td>\n",
+       "      <td>0.998806</td>\n",
+       "      <td>0.986071</td>\n",
+       "      <td>1.003211</td>\n",
+       "      <td>1.006305</td>\n",
+       "      <td>1.008104</td>\n",
+       "      <td>1.001064</td>\n",
+       "      <td>1.010572</td>\n",
+       "      <td>1.001237</td>\n",
+       "      <td>1.002946</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.010592</td>\n",
+       "      <td>0.977863</td>\n",
+       "      <td>1.009138</td>\n",
+       "      <td>0.990491</td>\n",
+       "      <td>1.025458</td>\n",
+       "      <td>1.010544</td>\n",
+       "      <td>1.008247</td>\n",
+       "      <td>0.983712</td>\n",
+       "      <td>1.013359</td>\n",
+       "      <td>1.004604</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.987479</td>\n",
+       "      <td>1.002671</td>\n",
+       "      <td>0.980681</td>\n",
+       "      <td>1.003311</td>\n",
+       "      <td>1.003199</td>\n",
+       "      <td>1.011846</td>\n",
+       "      <td>0.996115</td>\n",
+       "      <td>1.008727</td>\n",
+       "      <td>1.000527</td>\n",
+       "      <td>1.006174</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.005319</td>\n",
+       "      <td>0.980648</td>\n",
+       "      <td>1.010839</td>\n",
+       "      <td>0.977525</td>\n",
+       "      <td>1.029364</td>\n",
+       "      <td>1.006141</td>\n",
+       "      <td>1.010913</td>\n",
+       "      <td>0.974858</td>\n",
+       "      <td>1.008486</td>\n",
+       "      <td>1.018001</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.988055</td>\n",
+       "      <td>1.001119</td>\n",
+       "      <td>0.972495</td>\n",
+       "      <td>1.016748</td>\n",
+       "      <td>1.006018</td>\n",
+       "      <td>1.017986</td>\n",
+       "      <td>0.998785</td>\n",
+       "      <td>0.997503</td>\n",
+       "      <td>1.009362</td>\n",
+       "      <td>1.006961</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1256</th>\n",
+       "      <td>2.681510</td>\n",
+       "      <td>2.714074</td>\n",
+       "      <td>3.129739</td>\n",
+       "      <td>2.122219</td>\n",
+       "      <td>2.211689</td>\n",
+       "      <td>3.108551</td>\n",
+       "      <td>2.366765</td>\n",
+       "      <td>2.301400</td>\n",
+       "      <td>3.123605</td>\n",
+       "      <td>2.943667</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.845321</td>\n",
+       "      <td>2.521428</td>\n",
+       "      <td>2.972285</td>\n",
+       "      <td>1.826912</td>\n",
+       "      <td>2.237883</td>\n",
+       "      <td>2.767765</td>\n",
+       "      <td>3.514696</td>\n",
+       "      <td>2.809148</td>\n",
+       "      <td>2.941521</td>\n",
+       "      <td>2.422336</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1257</th>\n",
+       "      <td>2.665012</td>\n",
+       "      <td>2.701744</td>\n",
+       "      <td>3.128599</td>\n",
+       "      <td>2.123213</td>\n",
+       "      <td>2.219305</td>\n",
+       "      <td>3.114594</td>\n",
+       "      <td>2.361819</td>\n",
+       "      <td>2.298613</td>\n",
+       "      <td>3.133656</td>\n",
+       "      <td>2.939636</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.860250</td>\n",
+       "      <td>2.529545</td>\n",
+       "      <td>2.950719</td>\n",
+       "      <td>1.819020</td>\n",
+       "      <td>2.245103</td>\n",
+       "      <td>2.786420</td>\n",
+       "      <td>3.526299</td>\n",
+       "      <td>2.812569</td>\n",
+       "      <td>2.947462</td>\n",
+       "      <td>2.421209</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1258</th>\n",
+       "      <td>2.651200</td>\n",
+       "      <td>2.710310</td>\n",
+       "      <td>3.150072</td>\n",
+       "      <td>2.121996</td>\n",
+       "      <td>2.215572</td>\n",
+       "      <td>3.138387</td>\n",
+       "      <td>2.374203</td>\n",
+       "      <td>2.287730</td>\n",
+       "      <td>3.157144</td>\n",
+       "      <td>2.943312</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.845241</td>\n",
+       "      <td>2.543793</td>\n",
+       "      <td>2.960243</td>\n",
+       "      <td>1.791609</td>\n",
+       "      <td>2.261302</td>\n",
+       "      <td>2.782278</td>\n",
+       "      <td>3.539779</td>\n",
+       "      <td>2.814054</td>\n",
+       "      <td>2.964892</td>\n",
+       "      <td>2.422563</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1259</th>\n",
+       "      <td>2.636045</td>\n",
+       "      <td>2.707250</td>\n",
+       "      <td>3.200067</td>\n",
+       "      <td>2.132133</td>\n",
+       "      <td>2.214408</td>\n",
+       "      <td>3.120123</td>\n",
+       "      <td>2.385360</td>\n",
+       "      <td>2.304294</td>\n",
+       "      <td>3.170685</td>\n",
+       "      <td>2.928730</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.846437</td>\n",
+       "      <td>2.534774</td>\n",
+       "      <td>2.936721</td>\n",
+       "      <td>1.801300</td>\n",
+       "      <td>2.280655</td>\n",
+       "      <td>2.779005</td>\n",
+       "      <td>3.584346</td>\n",
+       "      <td>2.814123</td>\n",
+       "      <td>2.979713</td>\n",
+       "      <td>2.419751</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1260</th>\n",
+       "      <td>2.639582</td>\n",
+       "      <td>2.721021</td>\n",
+       "      <td>3.183625</td>\n",
+       "      <td>2.138284</td>\n",
+       "      <td>2.234573</td>\n",
+       "      <td>3.130881</td>\n",
+       "      <td>2.357290</td>\n",
+       "      <td>2.289600</td>\n",
+       "      <td>3.186898</td>\n",
+       "      <td>2.952471</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.839032</td>\n",
+       "      <td>2.536185</td>\n",
+       "      <td>2.942237</td>\n",
+       "      <td>1.813642</td>\n",
+       "      <td>2.286542</td>\n",
+       "      <td>2.786899</td>\n",
+       "      <td>3.544287</td>\n",
+       "      <td>2.820473</td>\n",
+       "      <td>3.005625</td>\n",
+       "      <td>2.424375</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1261 rows × 500 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           0         1         2         3         4         5         6    \\\n",
+       "0     1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000   \n",
+       "1     0.988906  0.992738  1.004556  0.999826  1.019771  1.007745  1.007251   \n",
+       "2     1.000231  0.983574  1.007855  0.992816  1.021925  1.011343  1.012067   \n",
+       "3     1.010592  0.977863  1.009138  0.990491  1.025458  1.010544  1.008247   \n",
+       "4     1.005319  0.980648  1.010839  0.977525  1.029364  1.006141  1.010913   \n",
+       "...        ...       ...       ...       ...       ...       ...       ...   \n",
+       "1256  2.681510  2.714074  3.129739  2.122219  2.211689  3.108551  2.366765   \n",
+       "1257  2.665012  2.701744  3.128599  2.123213  2.219305  3.114594  2.361819   \n",
+       "1258  2.651200  2.710310  3.150072  2.121996  2.215572  3.138387  2.374203   \n",
+       "1259  2.636045  2.707250  3.200067  2.132133  2.214408  3.120123  2.385360   \n",
+       "1260  2.639582  2.721021  3.183625  2.138284  2.234573  3.130881  2.357290   \n",
+       "\n",
+       "           7         8         9    ...       490       491       492  \\\n",
+       "0     1.000000  1.000000  1.000000  ...  1.000000  1.000000  1.000000   \n",
+       "1     0.998771  1.004968  1.000143  ...  0.999099  1.002478  0.995256   \n",
+       "2     0.990642  1.003769  1.006738  ...  0.987214  0.998806  0.986071   \n",
+       "3     0.983712  1.013359  1.004604  ...  0.987479  1.002671  0.980681   \n",
+       "4     0.974858  1.008486  1.018001  ...  0.988055  1.001119  0.972495   \n",
+       "...        ...       ...       ...  ...       ...       ...       ...   \n",
+       "1256  2.301400  3.123605  2.943667  ...  2.845321  2.521428  2.972285   \n",
+       "1257  2.298613  3.133656  2.939636  ...  2.860250  2.529545  2.950719   \n",
+       "1258  2.287730  3.157144  2.943312  ...  2.845241  2.543793  2.960243   \n",
+       "1259  2.304294  3.170685  2.928730  ...  2.846437  2.534774  2.936721   \n",
+       "1260  2.289600  3.186898  2.952471  ...  2.839032  2.536185  2.942237   \n",
+       "\n",
+       "           493       494       495       496       497       498       499  \n",
+       "0     1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  \n",
+       "1     1.003035  0.999229  1.002819  0.997936  1.000725  1.004905  1.009358  \n",
+       "2     1.003211  1.006305  1.008104  1.001064  1.010572  1.001237  1.002946  \n",
+       "3     1.003311  1.003199  1.011846  0.996115  1.008727  1.000527  1.006174  \n",
+       "4     1.016748  1.006018  1.017986  0.998785  0.997503  1.009362  1.006961  \n",
+       "...        ...       ...       ...       ...       ...       ...       ...  \n",
+       "1256  1.826912  2.237883  2.767765  3.514696  2.809148  2.941521  2.422336  \n",
+       "1257  1.819020  2.245103  2.786420  3.526299  2.812569  2.947462  2.421209  \n",
+       "1258  1.791609  2.261302  2.782278  3.539779  2.814054  2.964892  2.422563  \n",
+       "1259  1.801300  2.280655  2.779005  3.584346  2.814123  2.979713  2.419751  \n",
+       "1260  1.813642  2.286542  2.786899  3.544287  2.820473  3.005625  2.424375  \n",
+       "\n",
+       "[1261 rows x 500 columns]"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Running a Monte Carlo simulation to forecast five years cumulative returns\n",
+    "MC_fiveyear.calc_cumulative_return()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot simulation outcomes\n",
+    "line_plot = MC_fiveyear.plot_simulation()\n",
+    "\n",
+    "# Save the plot for future usage\n",
+    "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_simulation2.png\", bbox_inches=\"tight\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot probability distribution and confidence intervals\n",
+    "dist_plot = MC_fiveyear.plot_distribution()\n",
+    "\n",
+    "# Save the plot for future usage\n",
+    "dist_plot.get_figure().savefig('MonteCarlo_5yrs_distribution2.png',bbox_inches='tight')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "count           500.000000\n",
+      "mean              2.895847\n",
+      "std               0.589691\n",
+      "min               1.559500\n",
+      "25%               2.454324\n",
+      "50%               2.821701\n",
+      "75%               3.213398\n",
+      "max               5.025064\n",
+      "95% CI Lower      1.962128\n",
+      "95% CI Upper      4.251050\n",
+      "Name: 1260, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Fetch summary statistics from the Monte Carlo simulation results\n",
+    "summary = MC_fiveyear.summarize_cumulative_return()\n",
+    "\n",
+    "# Print summary statistics\n",
+    "print(summary)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "There is a 95% chance that an initial investment of $10,000 in the portfolio over the next 5 years will end within in the range of $19621.28 and $42510.5\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Use the lower and upper `95%` confidence intervals to calculate the range of the possible outcomes of our $10,000 investments in Coca-Cola and Microsoft stocks\n",
+    "ci_lower = round(summary[8]*10000,2)\n",
+    "ci_upper = round(summary[9]*10000,2)\n",
+    "\n",
+    "# Print results\n",
+    "print(f\"There is a 95% chance that an initial investment of $10,000 in the portfolio\"\n",
+    "      f\" over the next 5 years will end within in the range of\"\n",
+    "      f\" ${ci_lower} and ${ci_upper}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## MC Simulation for SP500"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set timeframe to '1D'\n",
+    "timeframe = \"1D\"\n",
+    "\n",
+    "# Set start and end datetimes between now and 3 years ago.\n",
+    "start_date = pd.Timestamp(\"2015-11-19\", tz=\"America/New_York\").isoformat()\n",
+    "end_date = pd.Timestamp(\"2020-10-01\", tz=\"America/New_York\").isoformat()\n",
+    "\n",
+    "# Set the ticker information\n",
+    "tickers_1 = ['SPY']\n",
+    "\n",
+    "# Get 5 years of past data of portfolios\n",
+    "df_ticker_1 = api.get_barset(\n",
+    "    tickers_1,\n",
+    "    timeframe,\n",
+    "    start=start_date,\n",
+    "    end=end_date\n",
+    ").df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Configuring a Monte Carlo simulation to forecast five years cumulative returns\n",
+    "MC_fiveyear_SP500 = MCSimulation(\n",
+    "    portfolio_data = df_ticker_1,\n",
+    "    weights = [1],\n",
+    "    num_simulation = 500,\n",
+    "    num_trading_days = 252*5\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running Monte Carlo simulation number 0.\n",
+      "Running Monte Carlo simulation number 10.\n",
+      "Running Monte Carlo simulation number 20.\n",
+      "Running Monte Carlo simulation number 30.\n",
+      "Running Monte Carlo simulation number 40.\n",
+      "Running Monte Carlo simulation number 50.\n",
+      "Running Monte Carlo simulation number 60.\n",
+      "Running Monte Carlo simulation number 70.\n",
+      "Running Monte Carlo simulation number 80.\n",
+      "Running Monte Carlo simulation number 90.\n",
+      "Running Monte Carlo simulation number 100.\n",
+      "Running Monte Carlo simulation number 110.\n",
+      "Running Monte Carlo simulation number 120.\n",
+      "Running Monte Carlo simulation number 130.\n",
+      "Running Monte Carlo simulation number 140.\n",
+      "Running Monte Carlo simulation number 150.\n",
+      "Running Monte Carlo simulation number 160.\n",
+      "Running Monte Carlo simulation number 170.\n",
+      "Running Monte Carlo simulation number 180.\n",
+      "Running Monte Carlo simulation number 190.\n",
+      "Running Monte Carlo simulation number 200.\n",
+      "Running Monte Carlo simulation number 210.\n",
+      "Running Monte Carlo simulation number 220.\n",
+      "Running Monte Carlo simulation number 230.\n",
+      "Running Monte Carlo simulation number 240.\n",
+      "Running Monte Carlo simulation number 250.\n",
+      "Running Monte Carlo simulation number 260.\n",
+      "Running Monte Carlo simulation number 270.\n",
+      "Running Monte Carlo simulation number 280.\n",
+      "Running Monte Carlo simulation number 290.\n",
+      "Running Monte Carlo simulation number 300.\n",
+      "Running Monte Carlo simulation number 310.\n",
+      "Running Monte Carlo simulation number 320.\n",
+      "Running Monte Carlo simulation number 330.\n",
+      "Running Monte Carlo simulation number 340.\n",
+      "Running Monte Carlo simulation number 350.\n",
+      "Running Monte Carlo simulation number 360.\n",
+      "Running Monte Carlo simulation number 370.\n",
+      "Running Monte Carlo simulation number 380.\n",
+      "Running Monte Carlo simulation number 390.\n",
+      "Running Monte Carlo simulation number 400.\n",
+      "Running Monte Carlo simulation number 410.\n",
+      "Running Monte Carlo simulation number 420.\n",
+      "Running Monte Carlo simulation number 430.\n",
+      "Running Monte Carlo simulation number 440.\n",
+      "Running Monte Carlo simulation number 450.\n",
+      "Running Monte Carlo simulation number 460.\n",
+      "Running Monte Carlo simulation number 470.\n",
+      "Running Monte Carlo simulation number 480.\n",
+      "Running Monte Carlo simulation number 490.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "<style scoped>\n",
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
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+       "      <th>4</th>\n",
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+       "      <th>490</th>\n",
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+       "      <th>495</th>\n",
+       "      <th>496</th>\n",
+       "      <th>497</th>\n",
+       "      <th>498</th>\n",
+       "      <th>499</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.000000</td>\n",
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+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
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+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.025240</td>\n",
+       "      <td>0.994252</td>\n",
+       "      <td>1.007339</td>\n",
+       "      <td>1.003842</td>\n",
+       "      <td>1.004661</td>\n",
+       "      <td>1.008039</td>\n",
+       "      <td>1.036028</td>\n",
+       "      <td>1.013963</td>\n",
+       "      <td>1.002222</td>\n",
+       "      <td>0.996770</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.995528</td>\n",
+       "      <td>1.005848</td>\n",
+       "      <td>0.985447</td>\n",
+       "      <td>0.997863</td>\n",
+       "      <td>0.981917</td>\n",
+       "      <td>1.013414</td>\n",
+       "      <td>0.982056</td>\n",
+       "      <td>1.005776</td>\n",
+       "      <td>1.002863</td>\n",
+       "      <td>0.990597</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.024945</td>\n",
+       "      <td>0.984344</td>\n",
+       "      <td>1.010838</td>\n",
+       "      <td>0.995444</td>\n",
+       "      <td>0.995019</td>\n",
+       "      <td>1.016381</td>\n",
+       "      <td>1.035466</td>\n",
+       "      <td>1.010888</td>\n",
+       "      <td>0.992452</td>\n",
+       "      <td>1.008830</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.986330</td>\n",
+       "      <td>1.007578</td>\n",
+       "      <td>0.980687</td>\n",
+       "      <td>0.998295</td>\n",
+       "      <td>0.990599</td>\n",
+       "      <td>1.013282</td>\n",
+       "      <td>0.973854</td>\n",
+       "      <td>1.001831</td>\n",
+       "      <td>1.001632</td>\n",
+       "      <td>0.982155</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.027859</td>\n",
+       "      <td>0.980948</td>\n",
+       "      <td>1.039085</td>\n",
+       "      <td>0.996435</td>\n",
+       "      <td>0.955176</td>\n",
+       "      <td>0.994890</td>\n",
+       "      <td>1.044883</td>\n",
+       "      <td>1.030342</td>\n",
+       "      <td>0.972230</td>\n",
+       "      <td>1.028340</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.993112</td>\n",
+       "      <td>1.019181</td>\n",
+       "      <td>0.959235</td>\n",
+       "      <td>0.982823</td>\n",
+       "      <td>0.992815</td>\n",
+       "      <td>1.007659</td>\n",
+       "      <td>0.991818</td>\n",
+       "      <td>0.986791</td>\n",
+       "      <td>1.005348</td>\n",
+       "      <td>0.989735</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.021238</td>\n",
+       "      <td>0.966043</td>\n",
+       "      <td>1.033850</td>\n",
+       "      <td>0.998911</td>\n",
+       "      <td>0.959645</td>\n",
+       "      <td>1.000255</td>\n",
+       "      <td>1.039067</td>\n",
+       "      <td>1.029801</td>\n",
+       "      <td>0.976492</td>\n",
+       "      <td>1.034202</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.957550</td>\n",
+       "      <td>0.984955</td>\n",
+       "      <td>0.993781</td>\n",
+       "      <td>0.995342</td>\n",
+       "      <td>1.013567</td>\n",
+       "      <td>1.005497</td>\n",
+       "      <td>0.963260</td>\n",
+       "      <td>0.986859</td>\n",
+       "      <td>1.006260</td>\n",
+       "      <td>0.985543</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1256</th>\n",
+       "      <td>1.136824</td>\n",
+       "      <td>1.059739</td>\n",
+       "      <td>2.862749</td>\n",
+       "      <td>1.536394</td>\n",
+       "      <td>1.194695</td>\n",
+       "      <td>2.131216</td>\n",
+       "      <td>1.302284</td>\n",
+       "      <td>2.044508</td>\n",
+       "      <td>1.669651</td>\n",
+       "      <td>2.288847</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.746951</td>\n",
+       "      <td>2.354714</td>\n",
+       "      <td>1.347568</td>\n",
+       "      <td>2.210135</td>\n",
+       "      <td>1.177048</td>\n",
+       "      <td>1.150474</td>\n",
+       "      <td>1.136106</td>\n",
+       "      <td>2.906233</td>\n",
+       "      <td>2.233422</td>\n",
+       "      <td>2.000418</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1257</th>\n",
+       "      <td>1.129375</td>\n",
+       "      <td>1.059733</td>\n",
+       "      <td>2.876605</td>\n",
+       "      <td>1.540728</td>\n",
+       "      <td>1.223460</td>\n",
+       "      <td>2.169137</td>\n",
+       "      <td>1.282259</td>\n",
+       "      <td>2.036708</td>\n",
+       "      <td>1.662069</td>\n",
+       "      <td>2.253778</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.817576</td>\n",
+       "      <td>2.356364</td>\n",
+       "      <td>1.360087</td>\n",
+       "      <td>2.222015</td>\n",
+       "      <td>1.183206</td>\n",
+       "      <td>1.164707</td>\n",
+       "      <td>1.160896</td>\n",
+       "      <td>2.934053</td>\n",
+       "      <td>2.262686</td>\n",
+       "      <td>1.966814</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1258</th>\n",
+       "      <td>1.133101</td>\n",
+       "      <td>1.057730</td>\n",
+       "      <td>2.977346</td>\n",
+       "      <td>1.569488</td>\n",
+       "      <td>1.232280</td>\n",
+       "      <td>2.185914</td>\n",
+       "      <td>1.285174</td>\n",
+       "      <td>2.009118</td>\n",
+       "      <td>1.643810</td>\n",
+       "      <td>2.267049</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.809375</td>\n",
+       "      <td>2.398208</td>\n",
+       "      <td>1.369752</td>\n",
+       "      <td>2.212873</td>\n",
+       "      <td>1.167419</td>\n",
+       "      <td>1.177250</td>\n",
+       "      <td>1.153452</td>\n",
+       "      <td>2.930655</td>\n",
+       "      <td>2.268406</td>\n",
+       "      <td>1.995717</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1259</th>\n",
+       "      <td>1.146316</td>\n",
+       "      <td>1.068511</td>\n",
+       "      <td>3.005279</td>\n",
+       "      <td>1.582927</td>\n",
+       "      <td>1.218385</td>\n",
+       "      <td>2.168386</td>\n",
+       "      <td>1.297530</td>\n",
+       "      <td>1.999931</td>\n",
+       "      <td>1.633240</td>\n",
+       "      <td>2.254467</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.859423</td>\n",
+       "      <td>2.401145</td>\n",
+       "      <td>1.371379</td>\n",
+       "      <td>2.225695</td>\n",
+       "      <td>1.164316</td>\n",
+       "      <td>1.166739</td>\n",
+       "      <td>1.155447</td>\n",
+       "      <td>2.871105</td>\n",
+       "      <td>2.266229</td>\n",
+       "      <td>2.023097</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1260</th>\n",
+       "      <td>1.146136</td>\n",
+       "      <td>1.043808</td>\n",
+       "      <td>2.986872</td>\n",
+       "      <td>1.567583</td>\n",
+       "      <td>1.240238</td>\n",
+       "      <td>2.224919</td>\n",
+       "      <td>1.278256</td>\n",
+       "      <td>2.014983</td>\n",
+       "      <td>1.626408</td>\n",
+       "      <td>2.287521</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.839978</td>\n",
+       "      <td>2.408209</td>\n",
+       "      <td>1.389274</td>\n",
+       "      <td>2.246986</td>\n",
+       "      <td>1.185865</td>\n",
+       "      <td>1.172749</td>\n",
+       "      <td>1.171990</td>\n",
+       "      <td>2.920379</td>\n",
+       "      <td>2.284771</td>\n",
+       "      <td>2.038920</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1261 rows × 500 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           0         1         2         3         4         5         6    \\\n",
+       "0     1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000   \n",
+       "1     1.025240  0.994252  1.007339  1.003842  1.004661  1.008039  1.036028   \n",
+       "2     1.024945  0.984344  1.010838  0.995444  0.995019  1.016381  1.035466   \n",
+       "3     1.027859  0.980948  1.039085  0.996435  0.955176  0.994890  1.044883   \n",
+       "4     1.021238  0.966043  1.033850  0.998911  0.959645  1.000255  1.039067   \n",
+       "...        ...       ...       ...       ...       ...       ...       ...   \n",
+       "1256  1.136824  1.059739  2.862749  1.536394  1.194695  2.131216  1.302284   \n",
+       "1257  1.129375  1.059733  2.876605  1.540728  1.223460  2.169137  1.282259   \n",
+       "1258  1.133101  1.057730  2.977346  1.569488  1.232280  2.185914  1.285174   \n",
+       "1259  1.146316  1.068511  3.005279  1.582927  1.218385  2.168386  1.297530   \n",
+       "1260  1.146136  1.043808  2.986872  1.567583  1.240238  2.224919  1.278256   \n",
+       "\n",
+       "           7         8         9    ...       490       491       492  \\\n",
+       "0     1.000000  1.000000  1.000000  ...  1.000000  1.000000  1.000000   \n",
+       "1     1.013963  1.002222  0.996770  ...  0.995528  1.005848  0.985447   \n",
+       "2     1.010888  0.992452  1.008830  ...  0.986330  1.007578  0.980687   \n",
+       "3     1.030342  0.972230  1.028340  ...  0.993112  1.019181  0.959235   \n",
+       "4     1.029801  0.976492  1.034202  ...  0.957550  0.984955  0.993781   \n",
+       "...        ...       ...       ...  ...       ...       ...       ...   \n",
+       "1256  2.044508  1.669651  2.288847  ...  2.746951  2.354714  1.347568   \n",
+       "1257  2.036708  1.662069  2.253778  ...  2.817576  2.356364  1.360087   \n",
+       "1258  2.009118  1.643810  2.267049  ...  2.809375  2.398208  1.369752   \n",
+       "1259  1.999931  1.633240  2.254467  ...  2.859423  2.401145  1.371379   \n",
+       "1260  2.014983  1.626408  2.287521  ...  2.839978  2.408209  1.389274   \n",
+       "\n",
+       "           493       494       495       496       497       498       499  \n",
+       "0     1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  1.000000  \n",
+       "1     0.997863  0.981917  1.013414  0.982056  1.005776  1.002863  0.990597  \n",
+       "2     0.998295  0.990599  1.013282  0.973854  1.001831  1.001632  0.982155  \n",
+       "3     0.982823  0.992815  1.007659  0.991818  0.986791  1.005348  0.989735  \n",
+       "4     0.995342  1.013567  1.005497  0.963260  0.986859  1.006260  0.985543  \n",
+       "...        ...       ...       ...       ...       ...       ...       ...  \n",
+       "1256  2.210135  1.177048  1.150474  1.136106  2.906233  2.233422  2.000418  \n",
+       "1257  2.222015  1.183206  1.164707  1.160896  2.934053  2.262686  1.966814  \n",
+       "1258  2.212873  1.167419  1.177250  1.153452  2.930655  2.268406  1.995717  \n",
+       "1259  2.225695  1.164316  1.166739  1.155447  2.871105  2.266229  2.023097  \n",
+       "1260  2.246986  1.185865  1.172749  1.171990  2.920379  2.284771  2.038920  \n",
+       "\n",
+       "[1261 rows x 500 columns]"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "MC_fiveyear_SP500.calc_cumulative_return()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "line_plot = MC_fiveyear_SP500.plot_simulation()\n",
+    "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_SPY_simulation.png\", bbox_inches=\"tight\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "dist_plot = MC_fiveyear_SP500.plot_distribution()\n",
+    "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_SPY_dist.png\", bbox_inches=\"tight\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "count           500.000000\n",
+      "mean              2.895847\n",
+      "std               0.589691\n",
+      "min               1.559500\n",
+      "25%               2.454324\n",
+      "50%               2.821701\n",
+      "75%               3.213398\n",
+      "max               5.025064\n",
+      "95% CI Lower      1.962128\n",
+      "95% CI Upper      4.251050\n",
+      "Name: 1260, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Fetch summary statistics from the Monte Carlo simulation results\n",
+    "summary = MC_fiveyear.summarize_cumulative_return()\n",
+    "\n",
+    "# Print summary statistics\n",
+    "print(summary)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "There is a 95% chance that an initial investment of $10,000 in the portfolio over the next 5 years will end within in the range of $19621.28 and $42510.5\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Use the lower and upper `95%` confidence intervals to calculate the range of the possible outcomes of our $10,000 investments in Coca-Cola and Microsoft stocks\n",
+    "ci_lower = round(summary[8]*10000,2)\n",
+    "ci_upper = round(summary[9]*10000,2)\n",
+    "\n",
+    "# Print results\n",
+    "print(f\"There is a 95% chance that an initial investment of $10,000 in the portfolio\"\n",
+    "      f\" over the next 5 years will end within in the range of\"\n",
+    "      f\" ${ci_lower} and ${ci_upper}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Final_project_notebook/MCForecastTools.py b/Final_project_notebook/MCForecastTools.py
new file mode 100644
index 0000000..c11bb2c
--- /dev/null
+++ b/Final_project_notebook/MCForecastTools.py
@@ -0,0 +1,172 @@
+# Import libraries and dependencies
+import numpy as np
+import pandas as pd
+import os
+import alpaca_trade_api as tradeapi
+import datetime as dt
+import pytz
+
+class MCSimulation:
+    """
+    A Python class for runnning Monte Carlo simulation on portfolio price data. 
+    
+    ...
+    
+    Attributes
+    ----------
+    portfolio_data : pandas.DataFrame
+        portfolio dataframe
+    weights: list(float)
+        portfolio investment breakdown
+    nSim: int
+        number of samples in simulation
+    nTrading: int
+        number of trading days to simulate
+    simulated_return : pandas.DataFrame
+        Simulated data from Monte Carlo
+    confidence_interval : pandas.Series
+        the 95% confidence intervals for simulated final cumulative returns
+        
+    """
+    
+    def __init__(self, portfolio_data, weights="", num_simulation=1000, num_trading_days=252):
+        """
+        Constructs all the necessary attributes for the MCSimulation object.
+
+        Parameters
+        ----------
+        portfolio_data: pandas.DataFrame
+            DataFrame containing stock price information from Alpaca API
+        weights: list(float)
+            A list fractions representing percentage of total investment per stock. DEFAULT: Equal distribution
+        num_simulation: int
+            Number of simulation samples. DEFAULT: 1000 simulation samples
+        num_trading_days: int
+            Number of trading days to simulate. DEFAULT: 252 days (1 year of business days)
+        """
+        
+        # Check to make sure that all attributes are set
+        if not isinstance(portfolio_data, pd.DataFrame):
+            raise TypeError("portfolio_data must be a Pandas DataFrame")
+            
+        # Set weights if empty, otherwise make sure sum of weights equals one.
+        if weights == "":
+            num_stocks = len(portfolio_data.columns.get_level_values(0).unique())
+            weights = [1.0/num_stocks for s in range(0,num_stocks)]
+        else:
+            if round(sum(weights),2) < .99:
+                raise AttributeError("Sum of portfolio weights must equal one.")
+        
+        # Calculate daily return if not within dataframe
+        if not "daily_return" in portfolio_data.columns.get_level_values(1).unique():
+            close_df = portfolio_data.xs('close',level=1,axis=1).pct_change()
+            tickers = portfolio_data.columns.get_level_values(0).unique()
+            column_names = [(x,"daily_return") for x in tickers]
+            close_df.columns = pd.MultiIndex.from_tuples(column_names)
+            portfolio_data = portfolio_data.merge(close_df,left_index=True,right_index=True).reindex(columns=tickers,level=0)    
+        
+        # Set class attributes
+        self.portfolio_data = portfolio_data
+        self.weights = weights
+        self.nSim = num_simulation
+        self.nTrading = num_trading_days
+        self.simulated_return = ""
+        
+    def calc_cumulative_return(self):
+        """
+        Calculates the cumulative return of a stock over time using a Monte Carlo simulation (Brownian motion with drift).
+
+        """
+        
+        # Get closing prices of each stock
+        last_prices = self.portfolio_data.xs('close',level=1,axis=1)[-1:].values.tolist()[0]
+        
+        # Calculate the mean and standard deviation of daily returns for each stock
+        daily_returns = self.portfolio_data.xs('daily_return',level=1,axis=1)
+        mean_returns = daily_returns.mean().tolist()
+        std_returns = daily_returns.std().tolist()
+        
+        # Initialize empty Dataframe to hold simulated prices
+        portfolio_cumulative_returns = pd.DataFrame()
+        
+        # Run the simulation of projecting stock prices 'nSim' number of times
+        for n in range(self.nSim):
+        
+            if n % 10 == 0:
+                print(f"Running Monte Carlo simulation number {n}.")
+        
+            # Create a list of lists to contain the simulated values for each stock
+            simvals = [[p] for p in last_prices]
+    
+            # For each stock in our data:
+            for s in range(len(last_prices)):
+
+                # Simulate the returns for each trading day
+                for i in range(self.nTrading):
+        
+                    # Calculate the simulated price using the last price within the list
+                    simvals[s].append(simvals[s][-1] * (1 + np.random.normal(mean_returns[s], std_returns[s])))
+    
+            # Calculate the daily returns of simulated prices
+            sim_df = pd.DataFrame(simvals).T.pct_change()
+    
+            # Use the `dot` function with the weights to multiply weights with each column's simulated daily returns
+            sim_df = sim_df.dot(self.weights)
+    
+            # Calculate the normalized, cumulative return series
+            portfolio_cumulative_returns[n] = (1 + sim_df.fillna(0)).cumprod()
+        
+        # Set attribute to use in plotting
+        self.simulated_return = portfolio_cumulative_returns
+        
+        # Calculate 95% confidence intervals for final cumulative returns
+        self.confidence_interval = portfolio_cumulative_returns.iloc[-1, :].quantile(q=[0.025, 0.975])
+        
+        return portfolio_cumulative_returns
+    
+    def plot_simulation(self):
+        """
+        Visualizes the simulated stock trajectories using calc_cumulative_return method.
+
+        """ 
+        
+        # Check to make sure that simulation has run previously. 
+        if not isinstance(self.simulated_return,pd.DataFrame):
+            self.calc_cumulative_return()
+            
+        # Use Pandas plot function to plot the return data
+        plot_title = f"{self.nSim} Simulations of Cumulative Portfolio Return Trajectories Over the Next {self.nTrading} Trading Days."
+        return self.simulated_return.plot(legend=None,title=plot_title)
+    
+    def plot_distribution(self):
+        """
+        Visualizes the distribution of cumulative returns simulated using calc_cumulative_return method.
+
+        """
+        
+        # Check to make sure that simulation has run previously. 
+        if not isinstance(self.simulated_return,pd.DataFrame):
+            self.calc_cumulative_return()
+        
+        # Use the `plot` function to create a probability distribution histogram of simulated ending prices
+        # with markings for a 95% confidence interval
+        plot_title = f"Distribution of Final Cumuluative Returns Across All {self.nSim} Simulations"
+        plt = self.simulated_return.iloc[-1, :].plot(kind='hist', bins=10,density=True,title=plot_title)
+        plt.axvline(self.confidence_interval.iloc[0], color='r')
+        plt.axvline(self.confidence_interval.iloc[1], color='r')
+        return plt
+    
+    def summarize_cumulative_return(self):
+        """
+        Calculate final summary statistics for Monte Carlo simulated stock data.
+        
+        """
+        
+        # Check to make sure that simulation has run previously. 
+        if not isinstance(self.simulated_return,pd.DataFrame):
+            self.calc_cumulative_return()
+            
+        metrics = self.simulated_return.iloc[-1].describe()
+        ci_series = self.confidence_interval
+        ci_series.index = ["95% CI Lower","95% CI Upper"]
+        return metrics.append(ci_series)
\ No newline at end of file
diff --git a/Final_project_notebook/MonteCarlo_5yrs_SPY_dist.png b/Final_project_notebook/MonteCarlo_5yrs_SPY_dist.png
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index 0000000..c6439c5
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diff --git a/Final_project_notebook/MonteCarlo_5yrs_SPY_simulation.png b/Final_project_notebook/MonteCarlo_5yrs_SPY_simulation.png
new file mode 100644
index 0000000..c6439c5
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diff --git a/Final_project_notebook/MonteCarlo_5yrs_distribution2.png b/Final_project_notebook/MonteCarlo_5yrs_distribution2.png
new file mode 100644
index 0000000..2fcbe8c
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diff --git a/Final_project_notebook/MonteCarlo_5yrs_simulation2.png b/Final_project_notebook/MonteCarlo_5yrs_simulation2.png
new file mode 100644
index 0000000..ca4435f
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diff --git a/Final_project_notebook/Untitled.ipynb b/Final_project_notebook/Untitled.ipynb
new file mode 100644
index 0000000..81e676d
--- /dev/null
+++ b/Final_project_notebook/Untitled.ipynb
@@ -0,0 +1,4655 @@
+{
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+       "\n",
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+       "        if (callback != null)\n",
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+       "      delete root._bokeh_onload_callbacks\n",
+       "    }\n",
+       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
+       "  }\n",
+       "\n",
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+       "\n",
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+       "        document.head.appendChild(element);\n",
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+       "\n",
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+       "    element.appendChild(document.createTextNode(css));\n",
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+       "\n",
+       "  var inline_js = [\n",
+       "    function(Bokeh) {\n",
+       "      inject_raw_css(\"table.panel-df {\\n    margin-left: auto;\\n    margin-right: auto;\\n    border: none;\\n    border-collapse: collapse;\\n    border-spacing: 0;\\n    color: black;\\n    font-size: 12px;\\n    table-layout: fixed;\\n    width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n    text-align: right;\\n    vertical-align: middle;\\n    padding: 0.5em 0.5em !important;\\n    line-height: normal;\\n    white-space: normal;\\n    max-width: none;\\n    border: none;\\n}\\n\\n.panel-df tbody {\\n    display: table-row-group;\\n    vertical-align: middle;\\n    border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n    background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n    border-bottom: 1px solid black;\\n    vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n    background: lightblue !important;\\n    cursor: pointer;\\n}\\n\");\n",
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+       "    },\n",
+       "    function(Bokeh) {\n",
+       "      inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite  { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n",
+       "    },\n",
+       "    function(Bokeh) {\n",
+       "      inject_raw_css(\".panel-widget-box {\\n\\tmin-height: 20px;\\n\\tbackground-color: #f5f5f5;\\n\\tborder: 1px solid #e3e3e3 !important;\\n\\tborder-radius: 4px;\\n\\t-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\tbox-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\toverflow-x: hidden;\\n\\toverflow-y: hidden;\\n}\\n\\n.scrollable {\\n  overflow: scroll;\\n}\\n\\nprogress {\\n\\tappearance: none;\\n\\t-moz-appearance: none;\\n\\t-webkit-appearance: none;\\n\\n\\tborder: none;\\n\\theight: 20px;\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n\\tcolor: royalblue;\\n\\tposition: relative;\\n\\tmargin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n\\tposition: relative;\\n\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n\\tborder-radius:3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n\\tcontent:\\\" \\\";\\n\\tposition:absolute;\\n\\theight: 20px;\\n\\ttop:0;\\n\\tleft:0;\\n\\tright:0;\\n\\tbottom:0;\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n  from {background-position: 0%}\\n  to {background-position: 100%}\\n}\\n\");\n",
+       "    },\n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN bokeh.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        const bokeh = factory();\n",
+       "        if (root.Bokeh === undefined) {\n",
+       "          root.Bokeh = bokeh;\n",
+       "        }\n",
+       "        const Bokeh = root.Bokeh;\n",
+       "        Bokeh[bokeh.version] = bokeh;\n",
+       "      })(this, function() {\n",
+       "        var define;\n",
+       "        var parent_require = typeof require === \"function\" && require\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          if (aliases === undefined) aliases = {};\n",
+       "          if (externals === undefined) externals = {};\n",
+       "\n",
+       "          var cache = {};\n",
+       "\n",
+       "          var normalize = function(name) {\n",
+       "            if (typeof name === \"number\")\n",
+       "              return name;\n",
+       "\n",
+       "            if (name === \"bokehjs\")\n",
+       "              return entry;\n",
+       "\n",
+       "            var prefix = \"@bokehjs/\"\n",
+       "            if (name.slice(0, prefix.length) === prefix)\n",
+       "              name = name.slice(prefix.length)\n",
+       "\n",
+       "            var alias = aliases[name]\n",
+       "            if (alias != null)\n",
+       "              return alias;\n",
+       "\n",
+       "            var trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n",
+       "            var index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n",
+       "            if (index != null)\n",
+       "              return index;\n",
+       "\n",
+       "            return name;\n",
+       "          }\n",
+       "\n",
+       "          var require = function(name) {\n",
+       "            var mod = cache[name];\n",
+       "            if (!mod) {\n",
+       "              var id = normalize(name);\n",
+       "\n",
+       "              mod = cache[id];\n",
+       "              if (!mod) {\n",
+       "                if (!modules[id]) {\n",
+       "                  if (externals[id] === false || (externals[id] == true && parent_require)) {\n",
+       "                    try {\n",
+       "                      mod = {exports: externals[id] ? parent_require(id) : {}};\n",
+       "                      cache[id] = cache[name] = mod;\n",
+       "                      return mod.exports;\n",
+       "                    } catch (e) {}\n",
+       "                  }\n",
+       "\n",
+       "                  var err = new Error(\"Cannot find module '\" + name + \"'\");\n",
+       "                  err.code = 'MODULE_NOT_FOUND';\n",
+       "                  throw err;\n",
+       "                }\n",
+       "\n",
+       "                mod = {exports: {}};\n",
+       "                cache[id] = cache[name] = mod;\n",
+       "                modules[id].call(mod.exports, require, mod, mod.exports);\n",
+       "              } else\n",
+       "                cache[name] = mod;\n",
+       "            }\n",
+       "\n",
+       "            return mod.exports;\n",
+       "          }\n",
+       "\n",
+       "          var main = require(entry);\n",
+       "          main.require = require;\n",
+       "\n",
+       "          if (typeof Proxy !== \"undefined\") {\n",
+       "            // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n",
+       "            main.loader = new Proxy({}, {\n",
+       "              get: function(_obj, module) {\n",
+       "                return require(module);\n",
+       "              }\n",
+       "            });\n",
+       "          }\n",
+       "\n",
+       "          main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n",
+       "            if (plugin_aliases === undefined) plugin_aliases = {};\n",
+       "            if (plugin_externals === undefined) plugin_externals = {};\n",
+       "\n",
+       "            for (var name in plugin_modules) {\n",
+       "              modules[name] = plugin_modules[name];\n",
+       "            }\n",
+       "\n",
+       "            for (var name in plugin_aliases) {\n",
+       "              aliases[name] = plugin_aliases[name];\n",
+       "            }\n",
+       "\n",
+       "            for (var name in plugin_externals) {\n",
+       "              externals[name] = plugin_externals[name];\n",
+       "            }\n",
+       "\n",
+       "            var plugin = require(plugin_entry);\n",
+       "\n",
+       "            for (var name in plugin) {\n",
+       "              main[name] = plugin[name];\n",
+       "            }\n",
+       "\n",
+       "            return plugin;\n",
+       "          }\n",
+       "\n",
+       "          return main;\n",
+       "        })\n",
+       "      ([\n",
+       "      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0}),e(1).__exportStar(e(2),_)},\n",
+       "      function _(t,e,n){\n",
+       "      /*! *****************************************************************************\n",
+       "          Copyright (c) Microsoft Corporation. All rights reserved.\n",
+       "          Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n",
+       "          this file except in compliance with the License. You may obtain a copy of the\n",
+       "          License at http://www.apache.org/licenses/LICENSE-2.0\n",
+       "          \n",
+       "          THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n",
+       "          KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n",
+       "          WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n",
+       "          MERCHANTABLITY OR NON-INFRINGEMENT.\n",
+       "          \n",
+       "          See the Apache Version 2.0 License for specific language governing permissions\n",
+       "          and limitations under the License.\n",
+       "          ***************************************************************************** */\n",
+       "      Object.defineProperty(n,\"__esModule\",{value:!0});var r=function(t,e){return(r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n])})(t,e)};function o(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,n=e&&t[e],r=0;if(n)return n.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&r>=t.length&&(t=void 0),{value:t&&t[r++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")}function a(t,e){var n=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!n)return t;var r,o,a=n.call(t),i=[];try{for(;(void 0===e||e-- >0)&&!(r=a.next()).done;)i.push(r.value)}catch(t){o={error:t}}finally{try{r&&!r.done&&(n=a.return)&&n.call(a)}finally{if(o)throw o.error}}return i}function i(t){return this instanceof i?(this.v=t,this):new i(t)}n.__extends=function(t,e){function 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+       "      function _(e,r,t){var l=this&&this.__importStar||function(e){if(e&&e.__esModule)return e;var r={};if(null!=e)for(var t in e)Object.hasOwnProperty.call(e,t)&&(r[t]=e[t]);return r.default=e,r};Object.defineProperty(t,\"__esModule\",{value:!0});var o=e(3);t.version=o.version;var s=e(4);t.index=s.index,t.embed=l(e(4)),t.protocol=l(e(367)),t._testing=l(e(368));var n=e(72);t.logger=n.logger,t.set_log_level=n.set_log_level;var a=e(22);t.settings=a.settings;var i=e(7);t.Models=i.Models;var v=e(5);t.documents=v.documents;var _=e(369);t.safely=_.safely},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0}),o.version=\"2.1.1\"},\n",
+       "      function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(5),s=e(72),d=e(24),r=e(8),_=e(15),c=e(358),i=e(360),a=e(359);var u=e(358);n.add_document_standalone=u.add_document_standalone,n.index=u.index;var l=e(360);n.add_document_from_session=l.add_document_from_session;var m=e(365);n.embed_items_notebook=m.embed_items_notebook,n.kernels=m.kernels;var f=e(359);async function g(e,o,n,_){r.isString(e)&&(e=JSON.parse(d.unescape(e)));const u={};for(const o in e){const n=e[o];u[o]=t.Document.from_json(n)}const l=[];for(const e of o){const o=a._resolve_element(e),t=a._resolve_root_elements(e);if(null!=e.docid)l.push(await c.add_document_standalone(u[e.docid],o,t,e.use_for_title));else{if(null==e.token)throw new Error(\"Error rendering Bokeh items: either 'docid' or 'token' was expected.\");{const d=i._get_ws_url(n,_);s.logger.debug(\"embed: computed ws url: \"+d);try{l.push(await i.add_document_from_session(d,e.token,o,t,e.use_for_title)),console.log(\"Bokeh items were rendered successfully\")}catch(e){console.log(\"Error rendering Bokeh items:\",e)}}}}return l}n.BOKEH_ROOT=f.BOKEH_ROOT,n.embed_item=async function(e,o){const n={},t=d.uuid4();n[t]=e.doc,null==o&&(o=e.target_id);const s=document.getElementById(o);null!=s&&s.classList.add(a.BOKEH_ROOT);const r={roots:{[e.root_id]:o},root_ids:[e.root_id],docid:t},[c]=await _.defer(()=>g(n,[r]));return c},n.embed_items=async function(e,o,n,t){return await _.defer(()=>g(e,o,n,t))}},\n",
+       "      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);o.__exportStar(e(6),_),o.__exportStar(e(105),_)},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),n=e(7),r=e(3),i=e(72),_=e(291),a=e(13),l=e(14),c=e(16),h=e(27),d=e(9),f=o.__importStar(e(104)),u=e(25),m=e(8),g=e(245),p=e(76),w=e(71),v=e(105);class b{constructor(e){this.document=e,this.session=null,this.subscribed_models=new Set}send_event(e){const t=new v.MessageSentEvent(this.document,\"bokeh_event\",e.to_json());this.document._trigger_on_change(t)}trigger(e){for(const t of this.subscribed_models)null!=e.origin&&e.origin!=t||t._process_event(e)}}s.EventManager=b,b.__name__=\"EventManager\",s.documents=[],s.DEFAULT_TITLE=\"Bokeh Application\";class y{constructor(){s.documents.push(this),this._init_timestamp=Date.now(),this._title=s.DEFAULT_TITLE,this._roots=[],this._all_models=new Map,this._all_models_freeze_count=0,this._callbacks=new Map,this._message_callbacks=new Map,this.event_manager=new b(this),this.idle=new l.Signal0(this,\"idle\"),this._idle_roots=new WeakMap,this._interactive_timestamp=null,this._interactive_plot=null}get layoutables(){return this._roots.filter(e=>e instanceof g.LayoutDOM)}get is_idle(){for(const e of this.layoutables)if(!this._idle_roots.has(e))return!1;return!0}notify_idle(e){this._idle_roots.set(e,!0),this.is_idle&&(i.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),this.idle.emit())}clear(){this._push_all_models_freeze();try{for(;this._roots.length>0;)this.remove_root(this._roots[0])}finally{this._pop_all_models_freeze()}}interactive_start(e){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new _.LODStart)),this._interactive_timestamp=Date.now()}interactive_stop(e){null!=this._interactive_plot&&this._interactive_plot.id===e.id&&this._interactive_plot.trigger_event(new _.LODEnd),this._interactive_plot=null,this._interactive_timestamp=null}interactive_duration(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=d.copy(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(\"Somehow we didn't detach \"+e);if(0!=this._all_models.size)throw new Error(\"this._all_models still had stuff in it: \"+this._all_models);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){i.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=f.union(e,t.references());const t=new Set(this._all_models.values()),s=f.difference(t,e),o=f.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(i.logger.debug(\"Adding root: \"+e),!d.includes(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new v.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof w.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof v.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new v.ModelChangedEvent(this,e,t,s,o,null==n?void 0:n.setter_id,null==n?void 0:n.hint))}static _references_json(e,t=!0){const s=[];for(const o of e){const e=o.struct();e.attributes=o.attributes_as_json(t),delete e.attributes.id,s.push(e)}return s}static _instantiate_object(e,t,s){const o=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(n.Models(t))(o)}static _instantiate_references_json(e,t){const s=new Map;for(const o of e){const e=o.id,n=o.type,r=o.attributes||{};let i=t.get(e);null==i&&(i=y._instantiate_object(e,n,r),null!=o.subtype&&i.set_subtype(o.subtype)),s.set(i.id,i)}return s}static _resolve_refs(e,t,s,o){function n(e){if(c.is_ref(e)){if(t.has(e.id))return t.get(e.id);if(s.has(e.id))return s.get(e.id);throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}return h.is_NDArray_ref(e)?h.decode_NDArray(e,o):m.isArray(e)?function(e){const t=[];for(const s of e)t.push(n(s));return t}(e):m.isPlainObject(e)?function(e){const t={};for(const s in e){const o=e[s];t[s]=n(o)}return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:r,attributes:i}of e){const e=!t.has(r),_=e?s.get(r):t.get(r),a=y._resolve_refs(i,t,s,o);_.setv(a,{silent:!0}),n.set(r,{instance:_,is_new:e})}const r=[],i=new Set;function _(e){if(e instanceof a.HasProps){if(n.has(e.id)&&!i.has(e.id)){i.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e in o)_(o[e]);s&&(t.finalize(),r.push(t))}}else if(m.isArray(e))for(const t of e)_(t);else if(m.isPlainObject(e))for(const t in e)_(e[t])}for(const e of n.values())_(e.instance);for(const e of r)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const r={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return a.HasProps._json_record_references(o,s,n,{recursive:!0}),r}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),r=Object.keys(t.attributes),_=d.difference(n,r),a=d.difference(r,n),l=d.intersection(n,r),c=[];for(const e of _)i.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of a){const r=t.attributes[n];c.push(y._event_for_attribute_change(e,n,r,s,o))}for(const n of l){const r=e.attributes[n],i=t.attributes[n];null==r&&null==i||(null==r||null==i?c.push(y._event_for_attribute_change(e,n,i,s,o)):u.isEqual(r,i)||c.push(y._event_for_attribute_change(e,n,i,s,o)))}return c.filter(e=>null!=e)}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),r=new Map,i=[];for(const t of e.roots.root_ids)r.set(t,n.get(t)),i.push(t);const _=o(s),a=new Map,l=[];for(const e of s.roots.root_ids)a.set(e,_.get(e)),l.push(e);if(i.sort(),l.sort(),d.difference(i,l).length>0||d.difference(l,i).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=y._events_to_sync_objects(n.get(e),_.get(e),t,c);h=h.concat(s)}return{references:y._references_json(c,!1),events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=this._roots.map(e=>e.id),s=this._all_models.values();return{version:r.version,title:this._title,roots:{root_ids:t,references:y._references_json(s,e)}}}static from_json_string(e){const t=JSON.parse(e);return y.from_json(t)}static from_json(e){i.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${r.version}) / Python (${t})`;s||r.version.replace(/-(dev|rc)\\./,\"$1\")==t?i.logger.debug(o):(i.logger.warn(\"JS/Python version mismatch\"),i.logger.warn(o));const n=e.roots,_=n.root_ids,a=n.references,l=y._instantiate_references_json(a,new Map);y._initialize_references_json(a,new Map,l,new Map);const c=new y;for(const e of _){const t=l.get(e);null!=t&&c.add_root(t)}return c.set_title(e.title),c}replace_with_json(e){y.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){const t=new Set,s=[];for(const o of e){if(o.document!==this)throw i.logger.warn(\"Cannot create a patch using events from a different document, event had \",o.document,\" we are \",this),new Error(\"Cannot create a patch using events from a different document\");s.push(o.json(t))}return{events:s,references:y._references_json(t)}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,r=y._instantiate_references_json(o,this._all_models);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)r.set(t,s);else if(!r.has(t))throw i.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const _=new Map,a=new Map;for(const[e,t]of r)this._all_models.has(e)?_.set(e,t):a.set(e,t);y._initialize_references_json(o,_,a,t);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=y._resolve_refs(o,_,a,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const r=e.attr,i=y._resolve_refs(e.new,_,a,t);n.setv({[r]:i},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const r=y._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in r||(r[e]=n.data[e]);n.setv({data:r},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot stream to ${t} which is not in the document`);if(!(o instanceof p.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,r=e.rollover;o.stream(n,r,s);break}case\"ColumnsPatched\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot patch ${t} which is not in the document`);if(!(o instanceof p.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=e.model.id,o=r.get(t);this.add_root(o,s);break}case\"RootRemoved\":{const t=e.model.id,o=r.get(t);this.remove_root(o,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(\"Unknown patch event \"+JSON.stringify(e))}}}s.Document=y,y.__name__=\"Document\"},\n",
+       "      function _(e,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),t=e(8),d=e(13);s.overrides={};const i=new Map;s.Models=e=>{const r=s.overrides[e]||i.get(e);if(null==r)throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`);return r},s.Models.register=(e,r)=>{s.overrides[e]=r},s.Models.unregister=e=>{delete s.overrides[e]},s.Models.register_models=(e,r=!1,s)=>{var o;if(null!=e)for(const l in e){const n=e[l];if(o=n,t.isObject(o)&&o.prototype instanceof d.HasProps){const e=n.__qualified__;r||!i.has(e)?i.set(e,n):null!=s?s(e):console.warn(`Model '${e}' was already registered`)}}},s.register_models=s.Models.register_models,s.Models.registered_names=()=>Array.from(i.keys());const l=o.__importStar(e(29));s.register_models(l)},\n",
+       "      function _(n,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});\n",
+       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
+       "      //     Underscore may be freely distributed under the MIT license.\n",
+       "      const e=n(9),i=Object.prototype.toString;function o(n){return\"[object Number]\"===i.call(n)}function c(n){const t=typeof n;return\"function\"===t||\"object\"===t&&!!n}r.isBoolean=function(n){return!0===n||!1===n||\"[object Boolean]\"===i.call(n)},r.isNumber=o,r.isInteger=function(n){return o(n)&&Number.isInteger(n)},r.isString=function(n){return\"[object String]\"===i.call(n)},r.isFunction=function(n){return\"[object Function]\"===i.call(n)},r.isArray=function(n){return Array.isArray(n)},r.isArrayOf=function(n,t){return e.every(n,t)},r.isArrayableOf=function(n,t){for(let r=0,e=n.length;r<e;r++)if(!t(n[r]))return!1;return!0},r.isTypedArray=function(n){return ArrayBuffer.isView(n)&&!(n instanceof DataView)},r.isObject=c,r.isPlainObject=function(n){return c(n)&&(null==n.constructor||n.constructor===Object)}},\n",
+       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});\n",
+       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
+       "      //     Underscore may be freely distributed under the MIT license.\n",
+       "      const r=n(10),o=n(11),i=n(12);e.map=i.map,e.reduce=i.reduce,e.min=i.min,e.min_by=i.min_by,e.max=i.max,e.max_by=i.max_by,e.sum=i.sum,e.cumsum=i.cumsum,e.every=i.every,e.some=i.some,e.find=i.find,e.find_last=i.find_last,e.find_index=i.find_index,e.find_last_index=i.find_last_index,e.sorted_index=i.sorted_index,e.is_empty=i.is_empty;const u=Array.prototype.slice;function c(n){return u.call(n)}function f(n){return[].concat(...n)}function s(n,t){return-1!==n.indexOf(t)}function l(n,t,e=1){o.assert(e>0,\"'step' must be a positive number\"),null==t&&(t=n,n=0);const{max:r,ceil:i,abs:u}=Math,c=n<=t?e:-e,f=r(i(u(t-n)/e),0),s=Array(f);for(let t=0;t<f;t++,n+=c)s[t]=n;return s}function a(n){const t=[];for(const e of n)s(t,e)||t.push(e);return t}e.head=function(n){return n[0]},e.tail=function(n){return n[n.length-1]},e.last=function(n){return n[n.length-1]},e.copy=c,e.concat=f,e.includes=s,e.contains=s,e.nth=function(n,t){return n[t>=0?t:n.length+t]},e.zip=function(...n){if(0==n.length)return[];const t=i.min(n.map(n=>n.length)),e=n.length,r=new Array(t);for(let o=0;o<t;o++){r[o]=new Array(e);for(let t=0;t<e;t++)r[o][t]=n[t][o]}return r},e.unzip=function(n){const t=n.length,e=i.min(n.map(n=>n.length)),r=Array(e);for(let n=0;n<e;n++)r[n]=new Array(t);for(let o=0;o<t;o++)for(let t=0;t<e;t++)r[t][o]=n[o][t];return r},e.range=l,e.linspace=function(n,t,e=100){const r=(t-n)/(e-1),o=new Array(e);for(let t=0;t<e;t++)o[t]=n+r*t;return o},e.transpose=function(n){const t=n.length,e=n[0].length,r=[];for(let o=0;o<e;o++){r[o]=[];for(let e=0;e<t;e++)r[o][e]=n[e][o]}return r},e.argmin=function(n){return i.min_by(l(n.length),t=>n[t])},e.argmax=function(n){return i.max_by(l(n.length),t=>n[t])},e.sort_by=function(n,t){const e=n.map((n,e)=>({value:n,index:e,key:t(n)}));return e.sort((n,t)=>{const e=n.key,r=t.key;if(e!==r){if(e>r||void 0===e)return 1;if(e<r||void 0===r)return-1}return n.index-t.index}),e.map(n=>n.value)},e.uniq=a,e.uniq_by=function(n,t){const e=[],r=[];for(const o of n){const n=t(o);s(r,n)||(r.push(n),e.push(o))}return e},e.union=function(...n){return a(f(n))},e.intersection=function(n,...t){const e=[];n:for(const r of n)if(!s(e,r)){for(const n of t)if(!s(n,r))continue n;e.push(r)}return e},e.difference=function(n,...t){const e=f(t);return n.filter(n=>!s(e,n))},e.remove_at=function(n,t){const e=c(n);return e.splice(t,1),e},e.remove_by=function(n,t){for(let e=0;e<n.length;)t(n[e])?n.splice(e,1):e++},e.shuffle=function(n){const t=n.length,e=new Array(t);for(let o=0;o<t;o++){const t=r.randomIn(0,o);t!==o&&(e[o]=e[t]),e[t]=n[o]}return e},e.pairwise=function(n,t){const e=n.length,r=new Array(e-1);for(let o=0;o<e-1;o++)r[o]=t(n[o],n[o+1]);return r},e.reversed=function(n){const t=n.length,e=new Array(t);for(let r=0;r<t;r++)e[t-r-1]=n[r];return e},e.repeat=function(n,t){const e=new Array(t);for(let r=0;r<t;r++)e[r]=n;return e}},\n",
+       "      function _(n,t,r){function e(n){if(0==n)return 0;for(;n<=0;)n+=2*Math.PI;for(;n>2*Math.PI;)n-=2*Math.PI;return n}function o(n,t){return e(n-t)}function a(){return Math.random()}Object.defineProperty(r,\"__esModule\",{value:!0}),r.angle_norm=e,r.angle_dist=o,r.angle_between=function(n,t,r,a){const u=o(t,r);if(0==u)return!1;if(u==2*Math.PI)return!0;const f=e(n),i=o(t,f)<=u&&o(f,r)<=u;return 0==a?i:!i},r.random=a,r.randomIn=function(n,t){return null==t&&(t=n,n=0),n+Math.floor(Math.random()*(t-n+1))},r.atan2=function(n,t){return Math.atan2(t[1]-n[1],t[0]-n[0])},r.rnorm=function(n,t){let r,e;for(;r=a(),e=a(),e=(2*e-1)*Math.sqrt(1/Math.E*2),!(-4*r*r*Math.log(r)>=e*e););let o=e/r;return o=n+t*o,o},r.clamp=function(n,t,r){return n>r?r:n<t?t:n}},\n",
+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});class o extends Error{}n.AssertionError=o,o.__name__=\"AssertionError\",n.assert=function(e,r){if(!(!0===e||!1!==e&&e()))throw new o(null!=r?r:\"Assertion failed\")},n.unreachable=function(){throw new Error(\"unreachable code\")}},\n",
+       "      function _(n,t,e){function r(n,t,e,...r){const o=n.length;t<0&&(t+=o),t<0?t=0:t>o&&(t=o),null==e||e>o-t?e=o-t:e<0&&(e=0);const u=o-e+r.length,i=new n.constructor(u);let f=0;for(;f<t;f++)i[f]=n[f];for(const n of r)i[f++]=n;for(let r=t+e;r<o;r++)i[f++]=n[r];return i}function o(n,t){return r(n,t,n.length-t)}function u(n,t,e){const r=n.length;if(void 0===e&&0==r)throw new Error(\"can't reduce an empty array without an initial value\");let o,u;for(void 0===e?(o=n[0],u=1):(o=e,u=0);u<r;u++)o=t(o,n[u],u,n);return o}function i(n){return function(t,e){const r=t.length;let o=n>0?0:r-1;for(;o>=0&&o<r;o+=n)if(e(t[o]))return o;return-1}}Object.defineProperty(e,\"__esModule\",{value:!0}),e.is_empty=function(n){return 0==n.length},e.splice=r,e.head=o,e.insert=function(n,t,e){return r(n,e,0,t)},e.append=function(n,t){return r(n,n.length,0,t)},e.prepend=function(n,t){return r(n,0,0,t)},e.indexOf=function(n,t){for(let e=0,r=n.length;e<r;e++)if(n[e]===t)return e;return-1},e.map=function(n,t){const e=n.length,r=new n.constructor(e);for(let o=0;o<e;o++)r[o]=t(n[o],o,n);return r},e.filter=function(n,t){const e=n.length,r=new n.constructor(e);let u=0;for(let o=0;o<e;o++){const e=n[o];t(e,o,n)&&(r[u++]=e)}return o(r,u)},e.reduce=u,e.min=function(n){let t,e=1/0;for(let r=0,o=n.length;r<o;r++)t=n[r],t<e&&(e=t);return e},e.min_by=function(n,t){if(0==n.length)throw new Error(\"min_by() called with an empty array\");let e=n[0],r=t(e);for(let o=1,u=n.length;o<u;o++){const u=n[o],i=t(u);i<r&&(e=u,r=i)}return e},e.max=function(n){let t,e=-1/0;for(let r=0,o=n.length;r<o;r++)t=n[r],t>e&&(e=t);return e},e.max_by=function(n,t){if(0==n.length)throw new Error(\"max_by() called with an empty array\");let e=n[0],r=t(e);for(let o=1,u=n.length;o<u;o++){const u=n[o],i=t(u);i>r&&(e=u,r=i)}return e},e.sum=function(n){let t=0;for(let e=0,r=n.length;e<r;e++)t+=n[e];return t},e.cumsum=function(n){const t=new n.constructor(n.length);return u(n,(n,e,r)=>t[r]=n+e,0),t},e.every=function(n,t){for(let e=0,r=n.length;e<r;e++)if(!t(n[e]))return!1;return!0},e.some=function(n,t){for(let e=0,r=n.length;e<r;e++)if(t(n[e]))return!0;return!1},e.index_of=function(n,t){for(let e=0,r=n.length;e<r;e++)if(n[e]===t)return e;return-1},e.find_index=i(1),e.find_last_index=i(-1),e.find=function(n,t){const r=e.find_index(n,t);return-1==r?void 0:n[r]},e.find_last=function(n,t){const r=e.find_last_index(n,t);return-1==r?void 0:n[r]},e.sorted_index=function(n,t){let e=0,r=n.length;for(;e<r;){const o=Math.floor((e+r)/2);n[o]<t?e=o+1:r=o}return e}},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),n=e(14),i=e(16),o=r.__importStar(e(18)),c=r.__importStar(e(23)),a=e(24),_=e(9),u=e(17),h=e(8),f=e(25),l=e(5),p=e(26),d=e(27);class y extends(n.Signalable()){constructor(e={}){var t;super(),this._subtype=void 0,this.document=null,this.destroyed=new n.Signal0(this,\"destroyed\"),this.change=new n.Signal0(this,\"change\"),this.transformchange=new n.Signal0(this,\"transformchange\"),this.properties={},this._pending=!1,this._changing=!1;const s=e instanceof Map?e.get:t=>e[t];for(const[e,{type:t,default_value:r,options:n}]of u.entries(this._props)){if(null==t)throw new Error(`undefined property type for ${this.type}.${e}`);this.properties[e]=new t(this,e,r,s(e),n)}null!==(t=s(\"__deferred__\"))&&void 0!==t&&t||(this.finalize(),this.connect_signals())}set type(e){console.warn(\"prototype.type = 'ModelName' is deprecated, use static __name__ instead\"),this.constructor.__name__=e}get type(){return this.constructor.__qualified__}static get __qualified__(){const{__module__:e,__name__:t}=this;return null!=e?`${e}.${t}`:t}static init_HasProps(){this.prototype._props={},this.prototype._mixins=[],this.define({id:[o.String,()=>a.uniqueId()]})}static _fix_default(e,t){return void 0===e?void 0:h.isFunction(e)?e:h.isObject(e)?h.isArray(e)?()=>_.copy(e):()=>u.clone(e):()=>e}static define(e){for(const[t,s]of u.entries(e)){if(null!=this.prototype._props[t])throw new Error(`attempted to redefine property '${this.prototype.type}.${t}'`);if(null!=this.prototype[t])throw new Error(`attempted to redefine attribute '${this.prototype.type}.${t}'`);Object.defineProperty(this.prototype,t,{get(){return this.properties[t].get_value()},set(e){return this.setv({[t]:e}),this},configurable:!1,enumerable:!0});const[e,r,n]=s,i={type:e,default_value:this._fix_default(r,t),options:n},o=u.clone(this.prototype._props);o[t]=i,this.prototype._props=o}}static internal(e){const t={};for(const[s,r]of u.entries(e)){const[e,n,i={}]=r;t[s]=[e,n,Object.assign(Object.assign({},i),{internal:!0})]}this.define(t)}static mixins(e){function t(e){switch(e){case\"line\":return c.LineVector;case\"fill\":return c.FillVector;case\"hatch\":return c.HatchVector;case\"text\":return c.TextVector;default:throw new Error(`Unknown property mixin kind '${e}'`)}}function s(e,t){const s={};for(const[r,n]of u.entries(t))s[e+r]=n;return s}function r(e){const[t]=Object.keys(e),[s]=t.split(\"_\",1);return s}h.isArray(e)||(e=[e]);const n={},i=[];for(const o of e)if(h.isString(o)){const[e,r=\"\"]=o.split(\":\"),c=t(e);i.push(o),u.extend(n,s(r,c))}else if(h.isArray(o)){const[e,t]=o;i.push(`${r(t)}:${e}`),u.extend(n,s(e,t))}else{const e=o;i.push(r(e)),u.extend(n,e)}this.define(n),this.prototype._mixins=[...this.prototype._mixins,...i]}static override(e){for(const[t,s]of u.entries(e)){const e=this._fix_default(s,t),r=this.prototype._props[t];if(null==r)throw new Error(`attempted to override nonexistent '${this.prototype.type}.${t}'`);const n=u.clone(this.prototype._props);n[t]=Object.assign(Object.assign({},r),{default_value:e}),this.prototype._props=n}}toString(){return`${this.type}(${this.id})`}property(e){const t=this.properties[e];if(null!=t)return t;throw new Error(`unknown property ${this.type}.${e}`)}get attributes(){const e={};for(const t of this)e[t.attr]=t.get_value();return e}finalize(){for(const e of this)null!=e.spec.transform&&this.connect(e.spec.transform.change,()=>this.transformchange.emit());this.initialize()}initialize(){}connect_signals(){}disconnect_signals(){n.Signal.disconnectReceiver(this)}destroy(){this.disconnect_signals(),this.destroyed.emit()}clone(){return new this.constructor(this.attributes)}_setv(e,t){const s=t.check_eq,r=t.silent,n=[],i=this._changing;this._changing=!0;for(const[t,r]of e)!1!==s&&f.isEqual(t.get_value(),r)||(t.set_value(r),n.push(t));if(!r){n.length>0&&(this._pending=!0);for(const e of n)e.change.emit()}if(!i){if(!r&&!t.no_change)for(;this._pending;)this._pending=!1,this.change.emit();this._pending=!1,this._changing=!1}}setv(e,t={}){if(u.isEmpty(e))return;const s=new Map,r=new Map;for(const t in e){if(!e.hasOwnProperty(t))continue;const n=this.properties[t];if(null==n)throw new Error(`property ${this.type}.${t} wasn't declared`);const i=e[t];s.set(n,i),r.set(n,n.get_value())}this._setv(s,t);const{document:n}=this;if(null!=n){const e=[];for(const[t,s]of r)e.push([t,s,t.get_value()]);for(const[,t,s]of e)if(this._needs_invalidate(t,s)){n._invalidate_all_models();break}!0!==t.silent&&this._push_changes(e,t)}}getv(e){return this.property(e).get_value()}ref(){return{id:this.id}}struct(){const e={type:this.type,id:this.id,attributes:{}};return null!=this._subtype&&(e.subtype=this._subtype),e}set_subtype(e){this._subtype=e}*[Symbol.iterator](){for(const e in this.properties)yield this.properties[e]}*syncable_properties(){for(const e of this)e.syncable&&(yield e)}serializable_attributes(){const e={};for(const t of this.syncable_properties())e[t.attr]=t.get_value();return e}static _value_to_json(e){if(e instanceof y)return e.ref();if(p.is_NDArray(e))return d.encode_NDArray(e);if(h.isArray(e)||h.isTypedArray(e)){const t=e.length,s=new Array(t);for(let r=0;r<t;r++){const t=e[r];s[r]=y._value_to_json(t)}return s}if(h.isPlainObject(e)){const t={};for(const s in e)e.hasOwnProperty(s)&&(t[s]=y._value_to_json(e[s]));return t}return e}attributes_as_json(e=!0,t=y._value_to_json){const s={};for(const r of this)r.syncable&&(e||r.dirty)&&(s[r.attr]=t(r.get_value()));return s}static _json_record_references(e,t,s,r){const{recursive:n}=r;if(i.is_ref(t)){const r=e.get_model_by_id(t.id);null==r||s.has(r)||y._value_record_references(r,s,{recursive:n})}else if(h.isArray(t))for(const r of t)y._json_record_references(e,r,s,{recursive:n});else if(h.isPlainObject(t))for(const r in t)if(t.hasOwnProperty(r)){const i=t[r];y._json_record_references(e,i,s,{recursive:n})}}static _value_record_references(e,t,s){const{recursive:r}=s;if(e instanceof y){if(!t.has(e)&&(t.add(e),r)){const s=e._immediate_references();for(const e of s)y._value_record_references(e,t,{recursive:!0})}}else if(h.isArray(e))for(const s of e)y._value_record_references(s,t,{recursive:r});else if(h.isPlainObject(e))for(const s in e)if(e.hasOwnProperty(s)){const n=e[s];y._value_record_references(n,t,{recursive:r})}}_immediate_references(){const e=new Set;for(const t of this.syncable_properties()){const s=t.get_value();y._value_record_references(s,e,{recursive:!1})}return[...e.values()]}references(){const e=new Set;return y._value_record_references(this,e,{recursive:!0}),e}_doc_attached(){}_doc_detached(){}attach_document(e){if(null!=this.document&&this.document!=e)throw new Error(\"models must be owned by only a single document\");this.document=e,this._doc_attached()}detach_document(){this._doc_detached(),this.document=null}_needs_invalidate(e,t){const s=new Set;y._value_record_references(t,s,{recursive:!1});const r=new Set;y._value_record_references(e,r,{recursive:!1});for(const e of s)if(!r.has(e))return!0;for(const e of r)if(!s.has(e))return!0;return!1}_push_changes(e,t={}){const{document:s}=this;if(null==s)return;const{setter_id:r}=t,n=[];for(const[t,i,o]of e)t.syncable&&n.push(new l.ModelChangedEvent(s,this,t.attr,i,o,r));if(0!=n.length){let e;1==n.length?[e]=n:e=new l.DocumentEventBatch(s,n,r),s._trigger_on_change(e)}}materialize_dataspecs(e){const t={};for(const s of this){if(!(s instanceof o.VectorSpec))continue;if(s.optional&&null==s.spec.value&&!s.dirty)continue;const r=s.attr,n=s.array(e);t[\"_\"+r]=n,s instanceof o.DistanceSpec&&(t[\"max_\"+r]=_.max(n))}return t}on_change(e,t){for(const s of h.isArray(e)?e:[e])this.connect(s.change,t)}}s.HasProps=y,y.init_HasProps()},\n",
+       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=n(15),l=n(9);class o{constructor(n,t){this.sender=n,this.name=t}connect(n,t=null){c.has(this.sender)||c.set(this.sender,[]);const e=c.get(this.sender);if(null!=u(e,this,n,t))return!1;const s=t||n;r.has(s)||r.set(s,[]);const l=r.get(s),o={signal:this,slot:n,context:t};return e.push(o),l.push(o),!0}disconnect(n,t=null){const e=c.get(this.sender);if(null==e||0===e.length)return!1;const s=u(e,this,n,t);if(null==s)return!1;const l=t||n,o=r.get(l);return s.signal=null,f(e),f(o),!0}emit(n){const t=c.get(this.sender)||[];for(const{signal:e,slot:s,context:l}of t)e===this&&s.call(l,n,this.sender)}}e.Signal=o,o.__name__=\"Signal\";class i extends o{emit(){super.emit(void 0)}}e.Signal0=i,i.__name__=\"Signal0\",function(n){n.disconnectBetween=function(n,t){const e=c.get(n);if(null==e||0===e.length)return;const s=r.get(t);if(null!=s&&0!==s.length){for(const t of s){if(null==t.signal)return;t.signal.sender===n&&(t.signal=null)}f(e),f(s)}},n.disconnectSender=function(n){const t=c.get(n);if(null!=t&&0!==t.length){for(const n of t){if(null==n.signal)return;const t=n.context||n.slot;n.signal=null,f(r.get(t))}f(t)}},n.disconnectReceiver=function(n){const t=r.get(n);if(null!=t&&0!==t.length){for(const n of t){if(null==n.signal)return;const t=n.signal.sender;n.signal=null,f(c.get(t))}f(t)}},n.disconnectAll=function(n){const t=c.get(n);if(null!=t&&0!==t.length){for(const n of t)n.signal=null;f(t)}const e=r.get(n);if(null!=e&&0!==e.length){for(const n of e)n.signal=null;f(e)}}}(o||(e.Signal=o={})),e.Signalable=function(){return class{connect(n,t){return n.connect(t,this)}disconnect(n,t){return n.disconnect(t,this)}}};const c=new WeakMap,r=new WeakMap;function u(n,t,e,s){return l.find(n,n=>n.signal===t&&n.slot===e&&n.context===s)}const g=new Set;function f(n){0===g.size&&s.defer(a),g.add(n)}function a(){for(const n of g)l.remove_by(n,n=>null==n.signal);g.clear()}},\n",
+       "      function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.delay=\n",
+       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
+       "      //     Underscore may be freely distributed under the MIT license.\n",
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+       "      function _(e,n,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.default=function(e,n){var r,t;if(e=e||{},!n)return e;for(t in n)void 0!==(r=n[t])&&(e[t]=r);return e}},\n",
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+       "      function _(e,a,s){Object.defineProperty(s,\"__esModule\",{value:!0});var t={};s.default=t,t.wgs84={towgs84:\"0,0,0\",ellipse:\"WGS84\",datumName:\"WGS84\"},t.ch1903={towgs84:\"674.374,15.056,405.346\",ellipse:\"bessel\",datumName:\"swiss\"},t.ggrs87={towgs84:\"-199.87,74.79,246.62\",ellipse:\"GRS80\",datumName:\"Greek_Geodetic_Reference_System_1987\"},t.nad83={towgs84:\"0,0,0\",ellipse:\"GRS80\",datumName:\"North_American_Datum_1983\"},t.nad27={nadgrids:\"@conus,@alaska,@ntv2_0.gsb,@ntv1_can.dat\",ellipse:\"clrk66\",datumName:\"North_American_Datum_1927\"},t.potsdam={towgs84:\"606.0,23.0,413.0\",ellipse:\"bessel\",datumName:\"Potsdam Rauenberg 1950 DHDN\"},t.carthage={towgs84:\"-263.0,6.0,431.0\",ellipse:\"clark80\",datumName:\"Carthage 1934 Tunisia\"},t.hermannskogel={towgs84:\"653.0,-212.0,449.0\",ellipse:\"bessel\",datumName:\"Hermannskogel\"},t.osni52={towgs84:\"482.530,-130.596,564.557,-1.042,-0.214,-0.631,8.15\",ellipse:\"airy\",datumName:\"Irish National\"},t.ire65={towgs84:\"482.530,-130.596,564.557,-1.042,-0.214,-0.631,8.15\",ellipse:\"mod_airy\",datumName:\"Ireland 1965\"},t.rassadiran={towgs84:\"-133.63,-157.5,-158.62\",ellipse:\"intl\",datumName:\"Rassadiran\"},t.nzgd49={towgs84:\"59.47,-5.04,187.44,0.47,-0.1,1.024,-4.5993\",ellipse:\"intl\",datumName:\"New Zealand Geodetic Datum 1949\"},t.osgb36={towgs84:\"446.448,-125.157,542.060,0.1502,0.2470,0.8421,-20.4894\",ellipse:\"airy\",datumName:\"Airy 1830\"},t.s_jtsk={towgs84:\"589,76,480\",ellipse:\"bessel\",datumName:\"S-JTSK (Ferro)\"},t.beduaram={towgs84:\"-106,-87,188\",ellipse:\"clrk80\",datumName:\"Beduaram\"},t.gunung_segara={towgs84:\"-403,684,41\",ellipse:\"bessel\",datumName:\"Gunung Segara Jakarta\"},t.rnb72={towgs84:\"106.869,-52.2978,103.724,-0.33657,0.456955,-1.84218,1\",ellipse:\"intl\",datumName:\"Reseau National Belge 1972\"}},\n",
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+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const u=e(39),o=e(61);function _(e){return e===u.PJD_3PARAM||e===u.PJD_7PARAM}a.default=function(e,t,a){return o.compareDatums(e,t)||e.datum_type===u.PJD_NODATUM||t.datum_type===u.PJD_NODATUM?a:e.es!==t.es||e.a!==t.a||_(e.datum_type)||_(t.datum_type)?(a=o.geodeticToGeocentric(a,e.es,e.a),_(e.datum_type)&&(a=o.geocentricToWgs84(a,e.datum_type,e.datum_params)),_(t.datum_type)&&(a=o.geocentricFromWgs84(a,t.datum_type,t.datum_params)),o.geocentricToGeodetic(a,t.es,t.a,t.b)):a}},\n",
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+       "      function _(e,i,n){function t(e){if(\"function\"==typeof Number.isFinite){if(Number.isFinite(e))return;throw new TypeError(\"coordinates must be finite numbers\")}if(\"number\"!=typeof e||e!=e||!isFinite(e))throw new TypeError(\"coordinates must be finite numbers\")}Object.defineProperty(n,\"__esModule\",{value:!0}),n.default=function(e){t(e.x),t(e.y)}},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(66),s=r.__importStar(e(70)),_=r.__importStar(e(18)),l=e(71);class o extends n.DOMView{initialize(){super.initialize(),this.visuals=new s.Visuals(this.model),this._has_finished=!0}get plot_view(){return this.parent}get plot_model(){return this.parent.model}get layer(){const{canvas_view:e}=this.plot_view;return\"overlay\"==this.model.level?e.overlays:e.primary}request_render(){this.plot_view.request_render()}map_to_screen(e,t){return this.plot_view.map_to_screen(e,t,this.model.x_range_name,this.model.y_range_name)}get needs_clip(){return!1}notify_finished(){this.plot_view.notify_finished()}get has_webgl(){return!1}}i.RendererView=o,o.__name__=\"RendererView\";class a extends l.Model{constructor(e){super(e)}static init_Renderer(){this.define({level:[_.RenderLevel],visible:[_.Boolean,!0]})}}i.Renderer=a,a.__name__=\"Renderer\",a.init_Renderer()},\n",
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e=t.getBoundingClientRect();return{top:e.top+window.pageYOffset-document.documentElement.clientTop,left:e.left+window.pageXOffset-document.documentElement.clientLeft}},n.matches=r,n.parent=function(t,e){let n=t;for(;n=n.parentElement;)if(r(n,e))return n;return null},n.extents=c,n.size=h,n.scroll_size=function(t){return{width:Math.ceil(t.scrollWidth),height:Math.ceil(t.scrollHeight)}},n.outer_size=function(t){const{margin:{left:e,right:n,top:i,bottom:o}}=c(t),{width:s,height:l}=h(t);return{width:Math.ceil(s+e+n),height:Math.ceil(l+i+o)}},n.content_size=function(t){const{left:e,top:n}=t.getBoundingClientRect(),{padding:i}=c(t);let o=0,s=0;for(const l of t.children){const t=l.getBoundingClientRect();o=Math.max(o,Math.ceil(t.left-e-i.left+t.width)),s=Math.max(s,Math.ceil(t.top-n-i.top+t.height))}return{width:o,height:s}},n.position=function(t,e,n){const{style:i}=t;if(i.left=e.x+\"px\",i.top=e.y+\"px\",i.width=e.width+\"px\",i.height=e.height+\"px\",null==n)i.margin=\"\";else{const{top:t,right:e,bottom:o,left:s}=n;i.margin=`${t}px ${e}px ${o}px ${s}px`}},n.children=function(t){return Array.from(t.children)};class d{constructor(t){this.el=t,this.classList=t.classList}get values(){const t=[];for(let e=0;e<this.classList.length;e++){const n=this.classList.item(e);null!=n&&t.push(n)}return t}has(t){return this.classList.contains(t)}add(...t){for(const e of t)this.classList.add(e);return this}remove(...t){for(const e of t)this.classList.remove(e);return this}clear(){for(const t of this.values)\"bk\"!=t&&this.classList.remove(t);return this}toggle(t,e){return(null!=e?e:!this.has(t))?this.add(t):this.remove(t),this}}var u;function f(t,e,n){const{width:i,height:o,position:s,display:l}=t.style;t.style.position=\"absolute\",t.style.display=\"\",t.style.width=null!=e.width&&e.width!=1/0?e.width+\"px\":\"auto\",t.style.height=null!=e.height&&e.height!=1/0?e.height+\"px\":\"auto\";try{return n()}finally{t.style.position=s,t.style.display=l,t.style.width=i,t.style.height=o}}n.ClassList=d,d.__name__=\"ClassList\",n.classes=function(t){return new d(t)},n.toggle_attribute=function(t,e,n){null==n&&(n=!t.hasAttribute(e)),n?t.setAttribute(e,\"true\"):t.removeAttribute(e)},(u=n.Keys||(n.Keys={}))[u.Backspace=8]=\"Backspace\",u[u.Tab=9]=\"Tab\",u[u.Enter=13]=\"Enter\",u[u.Esc=27]=\"Esc\",u[u.PageUp=33]=\"PageUp\",u[u.PageDown=34]=\"PageDown\",u[u.Left=37]=\"Left\",u[u.Up=38]=\"Up\",u[u.Right=39]=\"Right\",u[u.Down=40]=\"Down\",u[u.Delete=46]=\"Delete\",n.undisplayed=function(t,e){const{display:n}=t.style;t.style.display=\"none\";try{return e()}finally{t.style.display=n}},n.unsized=function(t,e){return f(t,{},e)},n.sized=f;class p{constructor(t){this.root=t,this.known=new Set,this.style=n.style({type:\"text/css\"}),l(t,this.style)}append(t){this.known.has(t)||(this.style.appendChild(document.createTextNode(t)),this.known.add(t))}}n.StyleSheet=p,p.__name__=\"StyleSheet\",n.stylesheet=new p(document.head)},\n",
+       "      function _(n,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});e.default=\"\\n.bk-root {\\n  position: relative;\\n  width: auto;\\n  height: auto;\\n  z-index: 0;\\n  box-sizing: border-box;\\n  font-family: Helvetica, Arial, sans-serif;\\n  font-size: 13px;\\n}\\n.bk-root .bk,\\n.bk-root .bk:before,\\n.bk-root .bk:after {\\n  box-sizing: inherit;\\n  margin: 0;\\n  border: 0;\\n  padding: 0;\\n  background-image: none;\\n  font-family: inherit;\\n  font-size: 100%;\\n  line-height: 1.42857143;\\n}\\n.bk-root pre.bk {\\n  font-family: Courier, monospace;\\n}\\n\"},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),c=s.__importStar(e(23)),l=s.__importStar(e(18)),i=e(20),h=e(12);function o(e,t,a){e.moveTo(0,a+.5),e.lineTo(t,a+.5),e.stroke()}function r(e,t,a){e.moveTo(a+.5,0),e.lineTo(a+.5,t),e.stroke()}function n(e,t){e.moveTo(0,t),e.lineTo(t,0),e.stroke(),e.moveTo(0,0),e.lineTo(t,t),e.stroke()}function _(e,t,a,s){const c=a,l=c/2,i=l/2,h=function(e){const t=document.createElement(\"canvas\");return t.width=e,t.height=e,t}(a),_=h.getContext(\"2d\");switch(_.strokeStyle=t,_.lineCap=\"square\",_.fillStyle=t,_.lineWidth=s,e){case\" \":case\"blank\":break;case\".\":case\"dot\":_.arc(l,l,l/2,0,2*Math.PI,!0),_.fill();break;case\"o\":case\"ring\":_.arc(l,l,l/2,0,2*Math.PI,!0),_.stroke();break;case\"-\":case\"horizontal_line\":o(_,c,l);break;case\"|\":case\"vertical_line\":r(_,c,l);break;case\"+\":case\"cross\":o(_,c,l),r(_,c,l);break;case'\"':case\"horizontal_dash\":o(_,l,l);break;case\":\":case\"vertical_dash\":r(_,l,l);break;case\"@\":case\"spiral\":const e=c/30;_.moveTo(l,l);for(let t=0;t<360;t++){const a=.1*t,s=l+e*a*Math.cos(a),c=l+e*a*Math.sin(a);_.lineTo(s,c)}_.stroke();break;case\"/\":case\"right_diagonal_line\":_.moveTo(.5-i,c),_.lineTo(i+.5,0),_.stroke(),_.moveTo(i+.5,c),_.lineTo(3*i+.5,0),_.stroke(),_.moveTo(3*i+.5,c),_.lineTo(5*i+.5,0),_.stroke(),_.stroke();break;case\"\\\\\":case\"left_diagonal_line\":_.moveTo(i+.5,c),_.lineTo(.5-i,0),_.stroke(),_.moveTo(3*i+.5,c),_.lineTo(i+.5,0),_.stroke(),_.moveTo(5*i+.5,c),_.lineTo(3*i+.5,0),_.stroke(),_.stroke();break;case\"x\":case\"diagonal_cross\":n(_,c);break;case\",\":case\"right_diagonal_dash\":_.moveTo(i+.5,3*i+.5),_.lineTo(3*i+.5,i+.5),_.stroke();break;case\"`\":case\"left_diagonal_dash\":_.moveTo(i+.5,i+.5),_.lineTo(3*i+.5,3*i+.5),_.stroke();break;case\"v\":case\"horizontal_wave\":_.moveTo(0,i),_.lineTo(l,3*i),_.lineTo(c,i),_.stroke();break;case\">\":case\"vertical_wave\":_.moveTo(i,0),_.lineTo(3*i,l),_.lineTo(i,c),_.stroke();break;case\"*\":case\"criss_cross\":n(_,c),o(_,c,l),r(_,c,l)}return h}class u{constructor(e,t=\"\"){this.obj=e,this.prefix=t,this.cache={};for(const a of this.attrs)this[a]=e.properties[t+a]}warm_cache(e){for(const t of this.attrs){const a=this.obj.properties[this.prefix+t];if(void 0!==a.spec.value)this.cache[t]=a.spec.value;else{if(!(null!=e&&a instanceof l.VectorSpec))throw new Error(\"source is required with a vectorized visual property\");this.cache[t+\"_array\"]=a.array(e)}}}cache_select(e,t){const a=this.obj.properties[this.prefix+e];let s;return void 0!==a.spec.value?this.cache[e]=s=a.spec.value:this.cache[e]=s=this.cache[e+\"_array\"][t],s}get_array(e){const t=this.cache[e+\"_array\"];return null!=this.all_indices?h.map(this.all_indices,e=>t[e]):t}set_vectorize(e,t){null!=this.all_indices?this._set_vectorize(e,this.all_indices[t]):this._set_vectorize(e,t)}}a.ContextProperties=u,u.__name__=\"ContextProperties\";class p extends u{set_value(e){e.strokeStyle=this.line_color.value(),e.globalAlpha=this.line_alpha.value(),e.lineWidth=this.line_width.value(),e.lineJoin=this.line_join.value(),e.lineCap=this.line_cap.value(),e.setLineDash(this.line_dash.value()),e.setLineDashOffset(this.line_dash_offset.value())}get doit(){return!(null===this.line_color.spec.value||0==this.line_alpha.spec.value||0==this.line_width.spec.value)}_set_vectorize(e,t){this.cache_select(\"line_color\",t),e.strokeStyle=this.cache.line_color,this.cache_select(\"line_alpha\",t),e.globalAlpha=this.cache.line_alpha,this.cache_select(\"line_width\",t),e.lineWidth=this.cache.line_width,this.cache_select(\"line_join\",t),e.lineJoin=this.cache.line_join,this.cache_select(\"line_cap\",t),e.lineCap=this.cache.line_cap,this.cache_select(\"line_dash\",t),e.setLineDash(this.cache.line_dash),this.cache_select(\"line_dash_offset\",t),e.setLineDashOffset(this.cache.line_dash_offset)}color_value(){return i.color2css(this.line_color.value(),this.line_alpha.value())}}a.Line=p,p.__name__=\"Line\",p.prototype.attrs=Object.keys(c.LineVector);class v extends u{set_value(e){e.fillStyle=this.fill_color.value(),e.globalAlpha=this.fill_alpha.value()}get doit(){return!(null===this.fill_color.spec.value||0==this.fill_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"fill_color\",t),e.fillStyle=this.cache.fill_color,this.cache_select(\"fill_alpha\",t),e.globalAlpha=this.cache.fill_alpha}color_value(){return i.color2css(this.fill_color.value(),this.fill_alpha.value())}}a.Fill=v,v.__name__=\"Fill\",v.prototype.attrs=Object.keys(c.FillVector);class f extends u{cache_select(e,t){let a;if(\"pattern\"==e){this.cache_select(\"hatch_color\",t),this.cache_select(\"hatch_scale\",t),this.cache_select(\"hatch_pattern\",t),this.cache_select(\"hatch_weight\",t);const{hatch_color:e,hatch_scale:a,hatch_pattern:s,hatch_weight:c,hatch_extra:l}=this.cache;if(null!=l&&l.hasOwnProperty(s)){const t=l[s];this.cache.pattern=t.get_pattern(e,a,c)}else this.cache.pattern=t=>{const l=_(s,e,a,c);return t.createPattern(l,\"repeat\")}}else a=super.cache_select(e,t);return a}_try_defer(e){const{hatch_pattern:t,hatch_extra:a}=this.cache;if(null!=a&&a.hasOwnProperty(t)){a[t].onload(e)}}get doit(){return!(null===this.hatch_color.spec.value||0==this.hatch_alpha.spec.value||\" \"==this.hatch_pattern.spec.value||\"blank\"==this.hatch_pattern.spec.value||null===this.hatch_pattern.spec.value)}doit2(e,t,a,s){if(!this.doit)return;this.cache_select(\"pattern\",t),null==this.cache.pattern(e)?this._try_defer(s):(this.set_vectorize(e,t),a())}_set_vectorize(e,t){this.cache_select(\"pattern\",t),e.fillStyle=this.cache.pattern(e),this.cache_select(\"hatch_alpha\",t),e.globalAlpha=this.cache.hatch_alpha}color_value(){return i.color2css(this.hatch_color.value(),this.hatch_alpha.value())}}a.Hatch=f,f.__name__=\"Hatch\",f.prototype.attrs=Object.keys(c.HatchVector);class d extends u{color_value(){return i.color2css(this.text_color.value(),this.text_alpha.value())}font_value(){const e=this.text_font.value(),t=this.text_font_size.value();return`${this.text_font_style.value()} ${t} ${e}`}v_font_value(e){super.cache_select(\"text_font_style\",e),super.cache_select(\"text_font_size\",e),super.cache_select(\"text_font\",e);const{text_font_style:t,text_font_size:a,text_font:s}=this.cache;return`${t} ${a} ${s}`}cache_select(e,t){let a;return\"font\"==e?this.cache.font=a=this.v_font_value(t):a=super.cache_select(e,t),a}set_value(e){e.font=this.font_value(),e.fillStyle=this.text_color.value(),e.globalAlpha=this.text_alpha.value(),e.textAlign=this.text_align.value(),e.textBaseline=this.text_baseline.value()}get doit(){return!(null===this.text_color.spec.value||0==this.text_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"font\",t),e.font=this.cache.font,this.cache_select(\"text_color\",t),e.fillStyle=this.cache.text_color,this.cache_select(\"text_alpha\",t),e.globalAlpha=this.cache.text_alpha,this.cache_select(\"text_align\",t),e.textAlign=this.cache.text_align,this.cache_select(\"text_baseline\",t),e.textBaseline=this.cache.text_baseline}}a.Text=d,d.__name__=\"Text\",d.prototype.attrs=Object.keys(c.TextVector);class k{constructor(e){for(const t of e._mixins){const[a,s=\"\"]=t.split(\":\");let c;switch(a){case\"line\":c=p;break;case\"fill\":c=v;break;case\"hatch\":c=f;break;case\"text\":c=d;break;default:throw new Error(\"unknown visual: \"+a)}this[s+a]=new c(e,s)}}warm_cache(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&a.warm_cache(e)}}set_all_indices(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&(a.all_indices=e)}}}a.Visuals=k,k.__name__=\"Visuals\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),c=e(13),i=n.__importStar(e(18)),a=e(8),r=e(17),o=e(72);class l extends c.HasProps{constructor(e){super(e)}static init_Model(){this.define({tags:[i.Array,[]],name:[i.String],js_property_callbacks:[i.Any,{}],js_event_callbacks:[i.Any,{}],subscribed_events:[i.Array,[]]})}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,()=>this._update_property_callbacks()),this.connect(this.properties.js_event_callbacks.change,()=>this._update_event_callbacks()),this.connect(this.properties.subscribed_events.change,()=>this._update_event_callbacks())}_process_event(e){for(const t of this.js_event_callbacks[e.event_name]||[])t.execute(e);null!=this.document&&this.subscribed_events.some(t=>t==e.event_name)&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):o.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of r.entries(this.js_property_callbacks)){const n=s.map(e=>()=>e.execute(this));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){r.isEmpty(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if(a.isString(e))return[...this.references()].filter(t=>t instanceof l&&t.name===e);if(e.prototype instanceof c.HasProps)return[...this.references()].filter(t=>t instanceof e);throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=l,l.__name__=\"Model\",l.init_Model()},\n",
+       "      function _(e,l,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(8),t={};class s{constructor(e,l){this.name=e,this.level=l}}o.LogLevel=s,s.__name__=\"LogLevel\";class g{constructor(e,l=g.INFO){this._name=e,this.set_level(l)}static get levels(){return Object.keys(g.log_levels)}static get(e,l=g.INFO){if(e.length>0){let o=t[e];return null==o&&(t[e]=o=new g(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof s)this._log_level=e;else{if(!n.isString(e)||null==g.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=g.log_levels[e]}const l=`[${this._name}]`;for(const e in g.log_levels){g.log_levels[e].level<this._log_level.level||this._log_level.level===g.OFF.level?this[e]=function(){}:this[e]=r(e,l)}}trace(...e){}debug(...e){}info(...e){}warn(...e){}error(...e){}}function r(e,l){return null!=console[e]?console[e].bind(console,l):null!=console.log?console.log.bind(console,l):function(){}}function i(e){const l=o.logger.level;return n.isString(e)&&null==g.log_levels[e]?(console.log(`[bokeh] unrecognized logging level '${e}' passed to Bokeh.set_log_level(), ignoring`),console.log(\"[bokeh] valid log levels are: \"+g.levels.join(\", \"))):(console.log(`[bokeh] setting log level to: '${n.isString(e)?e:e.level}'`),o.logger.set_level(e)),l}o.Logger=g,g.__name__=\"Logger\",g.TRACE=new s(\"trace\",0),g.DEBUG=new s(\"debug\",1),g.INFO=new s(\"info\",2),g.WARN=new s(\"warn\",6),g.ERROR=new s(\"error\",7),g.FATAL=new s(\"fatal\",8),g.OFF=new s(\"off\",9),g.log_levels={trace:g.TRACE,debug:g.DEBUG,info:g.INFO,warn:g.WARN,error:g.ERROR,fatal:g.FATAL,off:g.OFF},o.logger=g.get(\"bokeh\"),o.set_log_level=i,o.with_log_level=function(e,l){const o=i(e);try{l()}finally{i(o)}}},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-shading {\\n  position: absolute;\\n  display: block;\\n  border: 1px dashed green;\\n}\\n\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),a=t(31),n=t(75),r=t(76),o=t(23),_=i.__importStar(t(18)),l=t(10);class h extends a.AnnotationView{initialize(){super.initialize(),null==this.model.source&&(this.model.source=new r.ColumnDataSource),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.set_data(this.model.source)),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source))}set_data(t){super.set_data(t),this.visuals.warm_cache(t),this.plot_view.request_render()}_map_data(){const{frame:t}=this.plot_view;let e,s,i,a;return\"data\"==this.model.start_units?(e=t.xscales[this.model.x_range_name].v_compute(this._x_start),s=t.yscales[this.model.y_range_name].v_compute(this._y_start)):(e=t.xview.v_compute(this._x_start),s=t.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(i=t.xscales[this.model.x_range_name].v_compute(this._x_end),a=t.yscales[this.model.y_range_name].v_compute(this._y_end)):(i=t.xview.v_compute(this._x_end),a=t.yview.v_compute(this._y_end)),[[e,s],[i,a]]}render(){if(!this.model.visible)return;const{ctx:t}=this.layer;t.save();const[e,s]=this._map_data();null!=this.model.end&&this._arrow_head(t,\"render\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"render\",this.model.start,s,e),t.beginPath();const{x:i,y:a,width:n,height:r}=this.plot_view.frame.bbox;t.rect(i,a,n,r),null!=this.model.end&&this._arrow_head(t,\"clip\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"clip\",this.model.start,s,e),t.closePath(),t.clip(),this._arrow_body(t,e,s),t.restore()}_arrow_head(t,e,s,i,a){for(let n=0,r=this._x_start.length;n<r;n++){const r=Math.PI/2+l.atan2([i[0][n],i[1][n]],[a[0][n],a[1][n]]);t.save(),t.translate(a[0][n],a[1][n]),t.rotate(r),\"render\"==e?s.render(t,n):\"clip\"==e&&s.clip(t,n),t.restore()}}_arrow_body(t,e,s){if(this.visuals.line.doit)for(let i=0,a=this._x_start.length;i<a;i++)this.visuals.line.set_vectorize(t,i),t.beginPath(),t.moveTo(e[0][i],e[1][i]),t.lineTo(s[0][i],s[1][i]),t.stroke()}}s.ArrowView=h,h.__name__=\"ArrowView\";class d extends a.Annotation{constructor(t){super(t)}static init_Arrow(){this.prototype.default_view=h,this.mixins(o.LineVector),this.define({x_start:[_.NumberSpec],y_start:[_.NumberSpec],start_units:[_.SpatialUnits,\"data\"],start:[_.Instance,null],x_end:[_.NumberSpec],y_end:[_.NumberSpec],end_units:[_.SpatialUnits,\"data\"],end:[_.Instance,()=>new n.OpenHead({})],source:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]})}}s.Arrow=d,d.__name__=\"Arrow\",d.init_Arrow()},\n",
+       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),o=i(31),l=i(70),n=i(23),h=t.__importStar(i(18));class a extends o.Annotation{constructor(i){super(i)}static init_ArrowHead(){this.define({size:[h.Number,25]})}initialize(){super.initialize(),this.visuals=new l.Visuals(this)}}s.ArrowHead=a,a.__name__=\"ArrowHead\",a.init_ArrowHead();class r extends a{constructor(i){super(i)}static init_OpenHead(){this.mixins(n.LineVector)}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,0),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.stroke())}}s.OpenHead=r,r.__name__=\"OpenHead\",r.init_OpenHead();class z extends a{constructor(i){super(i)}static init_NormalHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._normal(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._normal(i,e),i.stroke())}_normal(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.closePath()}}s.NormalHead=z,z.__name__=\"NormalHead\",z.init_NormalHead();class _ extends a{constructor(i){super(i)}static init_VeeHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._vee(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._vee(i,e),i.stroke())}_vee(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.closePath()}}s.VeeHead=_,_.__name__=\"VeeHead\",_.init_VeeHead();class c extends a{constructor(i){super(i)}static init_TeeHead(){this.mixins(n.LineVector)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,0),i.lineTo(-.5*this.size,0),i.stroke())}clip(i,e){}}s.TeeHead=c,c.__name__=\"TeeHead\",c.init_TeeHead()},\n",
+       "      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(77),r=s.__importStar(t(18)),i=t(8),l=t(17),a=s.__importStar(t(103)),c=t(104),u=t(105);function h(t,n,e){if(i.isArray(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if(i.isTypedArray(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let i;t.length<e?(i=new t.constructor(e),i.set(t,0)):i=t;for(let t=o,n=r;t<n;t++)i[t-o]=i[t];for(let t=0,e=n.length;t<e;t++)i[t+(r-o)]=n[t];return i}{const e=new t.constructor(n);return a.concat(t,e)}}throw new Error(\"unsupported array types\")}function d(t,n){let e,s,o;return i.isNumber(t)?(e=t,o=t+1,s=1):(e=null!=t.start?t.start:0,o=null!=t.stop?t.stop:n,s=null!=t.step?t.step:1),[e,o,s]}function m(t,n){const e=new Set;let s=!1;for(const[o,r]of n){let n,l,a,c;if(i.isArray(o)){const[s]=o;e.add(s),n=t[s].shape,l=t[s],c=r,2===o.length?(n=[1,n[0]],a=[o[0],0,o[1]]):a=o}else i.isNumber(o)?(c=[r],e.add(o)):(c=r,s=!0),a=[0,0,o],n=[1,t.length],l=t;let u=0;const[h,m,f]=d(a[1],n[0]),[_,p,g]=d(a[2],n[1]);for(let t=h;t<m;t+=f)for(let o=_;o<p;o+=g)s&&e.add(o),l[t*n[1]+o]=c[u],u++}return e}e.stream_to_column=h,e.slice=d,e.patch_to_column=m;class f extends o.ColumnarDataSource{constructor(t){super(t)}static init_ColumnDataSource(){this.define({data:[r.Any,{}]})}stream(t,n,e){const{data:s}=this;for(const e in t)s[e]=h(s[e],t[e],n);if(this.setv({data:s},{silent:!0}),this.streaming.emit(),null!=this.document){const s=new u.ColumnsStreamedEvent(this.document,this.ref(),t,n);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:s})}}patch(t,n){const{data:e}=this;let s=new Set;for(const[n,o]of l.entries(t))s=c.union(s,m(e[n],o));if(this.setv({data:e},{silent:!0}),this.patching.emit([...s]),null!=this.document){const e=new u.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:e})}}}e.ColumnDataSource=f,f.__name__=\"ColumnDataSource\",f.init_ColumnDataSource()},\n",
+       "      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(78),i=t(14),r=t(72),c=t(80),l=a.__importStar(t(18)),o=t(8),u=t(9),h=t(17),g=t(79),_=t(102);class d extends s.DataSource{constructor(t){super(t)}get_array(t){let n=this.data[t];return null==n?this.data[t]=n=[]:o.isArray(n)||(this.data[t]=n=Array.from(n)),n}static init_ColumnarDataSource(){this.define({selection_policy:[l.Instance,()=>new _.UnionRenderers]}),this.internal({selection_manager:[l.Instance,t=>new c.SelectionManager({source:t})],inspected:[l.Instance,()=>new g.Selection]})}initialize(){super.initialize(),this._select=new i.Signal0(this,\"select\"),this.inspect=new i.Signal(this,\"inspect\"),this.streaming=new i.Signal0(this,\"streaming\"),this.patching=new i.Signal(this,\"patching\")}get_column(t){const n=this.data[t];return null!=n?n:null}columns(){return h.keys(this.data)}get_length(t=!0){const n=u.uniq(h.values(this.data).map(t=>t.length));switch(n.length){case 0:return null;case 1:return n[0];default:{const e=\"data source has columns of inconsistent lengths\";if(t)return r.logger.warn(e),n.sort()[0];throw new Error(e)}}}get_indices(){const t=this.get_length();return u.range(0,null!=t?t:1)}clear(){const t={};for(const n of this.columns())t[n]=new this.data[n].constructor(0);this.data=t}}e.ColumnarDataSource=d,d.__name__=\"ColumnarDataSource\",d.init_ColumnarDataSource()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const c=e(1),n=e(71),o=e(79),i=c.__importStar(e(18));class r extends n.Model{constructor(e){super(e)}static init_DataSource(){this.define({selected:[i.Instance,()=>new o.Selection]})}}a.DataSource=r,r.__name__=\"DataSource\",r.init_DataSource()},\n",
+       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),l=t.__importStar(i(18)),c=i(9),_=i(17);class h extends n.Model{constructor(i){super(i)}static init_Selection(){this.define({indices:[l.Array,[]],line_indices:[l.Array,[]],multiline_indices:[l.Any,{}]}),this.internal({selected_glyphs:[l.Array,[]],get_view:[l.Any],image_indices:[l.Array,[]]})}initialize(){super.initialize(),this.get_view=()=>null}static from_hits(i){const e=c.sort_by(i,([,i])=>i).map(([i])=>i);return new h({indices:e})}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.get_view=i.get_view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.get_view=()=>null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=c.union(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=c.intersection(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=c.difference(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=h,h.__name__=\"Selection\",h.init_Selection()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(13),o=e(79),c=e(81),r=e(100),l=i.__importStar(e(18));class p extends n.HasProps{constructor(e){super(e),this.inspectors=new Map}static init_SelectionManager(){this.internal({source:[l.Any]})}select(e,t,s,i=\"replace\"){const n=[],o=[];for(const t of e)t instanceof c.GlyphRendererView?n.push(t):t instanceof r.GraphRendererView&&o.push(t);let l=!1;for(const e of o){const n=e.model.selection_policy.hit_test(t,e);l=l||e.model.selection_policy.do_selection(n,e.model,s,i)}if(n.length>0){const e=this.source.selection_policy.hit_test(t,n);l=l||this.source.selection_policy.do_selection(e,this.source,s,i)}return l}inspect(e,t){let s=!1;if(e instanceof c.GlyphRendererView){const i=e.hit_test(t);if(null!=i){s=!i.is_empty();const n=this.get_or_create_inspector(e.model);n.update(i,!0,\"replace\"),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof r.GraphRendererView){const i=e.model.inspection_policy.hit_test(t,e);s=s||e.model.inspection_policy.do_inspection(i,t,e,!1,\"replace\")}return s}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new o.Selection,this.inspectors.set(e,t)),t}}s.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(82),n=e(83),h=e(94),o=e(95),a=e(97),_=e(98),c=e(72),r=s.__importStar(e(18)),d=e(12),g=e(9),p=e(17),y=e(99),u=e(90),m={fill:{},line:{}},v={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},f={fill:{fill_alpha:.2},line:{}};class w extends l.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model.glyph,t=g.includes(e._mixins,\"fill\"),i=g.includes(e._mixins,\"line\"),s=p.clone(e.attributes);function l(l){const n=p.clone(s);return t&&p.extend(n,l.fill),i&&p.extend(n,l.line),new e.constructor(n)}delete s.id,this.glyph=await this.build_glyph_view(e);let{selection_glyph:n}=this.model;null==n?n=l({fill:{},line:{}}):\"auto\"===n&&(n=l(m)),this.selection_glyph=await this.build_glyph_view(n);let{nonselection_glyph:h}=this.model;null==h?h=l({fill:{},line:{}}):\"auto\"===h&&(h=l(f)),this.nonselection_glyph=await this.build_glyph_view(h);const{hover_glyph:o}=this.model;null!=o&&(this.hover_glyph=await this.build_glyph_view(o));const{muted_glyph:a}=this.model;null!=a&&(this.muted_glyph=await this.build_glyph_view(a));const _=l(v);this.decimated_glyph=await this.build_glyph_view(_),this.xscale=this.plot_view.frame.xscales[this.model.x_range_name],this.yscale=this.plot_view.frame.yscales[this.model.y_range_name],this.set_data(!1)}async build_glyph_view(e){return y.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.glyph.change,()=>this.set_data()),this.connect(this.model.data_source.change,()=>this.set_data()),this.connect(this.model.data_source.streaming,()=>this.set_data()),this.connect(this.model.data_source.patching,e=>this.set_data(!0,e)),this.connect(this.model.data_source.selected.change,()=>this.request_render()),this.connect(this.model.data_source._select,()=>this.request_render()),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,()=>this.request_render()),this.connect(this.model.properties.view.change,()=>this.set_data()),this.connect(this.model.view.change,()=>this.set_data()),this.connect(this.model.properties.visible.change,()=>this.plot_view.update_dataranges());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const i=e[t];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}for(const e in t){const i=t[e];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}this.connect(this.model.glyph.transformchange,()=>this.set_data())}have_selection_glyphs(){return null!=this.selection_glyph&&null!=this.nonselection_glyph}set_data(e=!0,t=null){const i=Date.now(),s=this.model.data_source;this.all_indices=this.model.view.indices,this.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.glyph.set_data(s,this.all_indices,t),this.glyph.set_visuals(s,this.all_indices),this.decimated_glyph.set_visuals(s,this.all_indices),this.have_selection_glyphs()&&(this.selection_glyph.set_visuals(s,this.all_indices),this.nonselection_glyph.set_visuals(s,this.all_indices)),null!=this.hover_glyph&&this.hover_glyph.set_visuals(s,this.all_indices),null!=this.muted_glyph&&this.muted_glyph.set_visuals(s,this.all_indices);const{lod_factor:l}=this.plot_model;this.decimated=[];for(let e=0,t=Math.floor(this.all_indices.length/l);e<t;e++)this.decimated.push(e*l);const n=Date.now()-i;c.logger.debug(`${this.glyph.model.type} ${this.model}): set_data finished in ${n}ms`),this.set_data_timestamp=Date.now(),e&&this.request_render()}get has_webgl(){return this.glyph.has_webgl}render(){if(!this.model.visible)return;const e=Date.now(),t=this.has_webgl;this.glyph.map_data();const i=Date.now()-e,s=Date.now();let l=this.glyph.mask_data(this.all_indices);l.length===this.all_indices.length&&(l=g.range(0,this.all_indices.length));const _=Date.now()-s,{ctx:r}=this.layer;r.save();const{selected:p}=this.model.data_source;let y;y=!p||p.is_empty()?[]:this.glyph instanceof n.LineView&&p.selected_glyph===this.glyph.model?this.model.view.convert_indices_from_subset(l):p.indices;const{inspected:u}=this.model.data_source,m=new Set((()=>!u||u.is_empty()?[]:u.selected_glyph?this.model.view.convert_indices_from_subset(l):u.indices.length>0?u.indices:Object.keys(u.multiline_indices).map(e=>parseInt(e)))()),v=d.filter(l,e=>m.has(this.all_indices[e])),{lod_threshold:f}=this.plot_model;let w,b,x;null!=this.model.document&&this.model.document.interactive_duration()>0&&!t&&null!=f&&this.all_indices.length>f?(l=this.decimated,w=this.decimated_glyph,b=this.decimated_glyph,x=this.selection_glyph):(w=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,b=this.nonselection_glyph,x=this.selection_glyph),null!=this.hover_glyph&&v.length&&(l=g.difference(l,v));let D,V=null;if(y.length&&this.have_selection_glyphs()){const e=Date.now(),t={};for(const e of y)t[e]=!0;const i=new Array,s=new Array;if(this.glyph instanceof n.LineView)for(const e of this.all_indices)null!=t[e]?i.push(e):s.push(e);else for(const e of l)null!=t[this.all_indices[e]]?i.push(e):s.push(e);V=Date.now()-e,D=Date.now(),b.render(r,s,this.glyph),x.render(r,i,this.glyph),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):this.hover_glyph.render(r,v,this.glyph))}else if(D=Date.now(),this.glyph instanceof n.LineView)this.hover_glyph&&v.length?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):w.render(r,this.all_indices,this.glyph);else if(this.glyph instanceof h.PatchView||this.glyph instanceof o.HAreaView||this.glyph instanceof a.VAreaView)if(0==u.selected_glyphs.length||null==this.hover_glyph)w.render(r,this.all_indices,this.glyph);else for(const e of u.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(r,this.all_indices,this.glyph);else w.render(r,l,this.glyph),this.hover_glyph&&v.length&&this.hover_glyph.render(r,v,this.glyph);const R=Date.now()-D;this.last_dtrender=R;const $=Date.now()-e;c.logger.debug(`${this.glyph.model.type} ${this.model}: render finished in ${$}ms`),c.logger.trace(` - map_data finished in       : ${i}ms`),c.logger.trace(` - mask_data finished in      : ${_}ms`),null!=V&&c.logger.trace(` - selection mask finished in : ${V}ms`),c.logger.trace(` - glyph renders finished in  : ${R}ms`),r.restore()}draw_legend(e,t,i,s,l,n,h,o){null==o&&(o=this.model.get_reference_point(n,h)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o)}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=w,w.__name__=\"GlyphRendererView\";class b extends l.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=w,this.define({data_source:[r.Instance],view:[r.Instance,()=>new _.CDSView],glyph:[r.Instance],hover_glyph:[r.Instance],nonselection_glyph:[r.Any,\"auto\"],selection_glyph:[r.Any,\"auto\"],muted_glyph:[r.Instance],muted:[r.Boolean,!1]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){let i=0;if(null!=e){const s=this.data_source.get_column(e);if(null!=s){const e=d.indexOf(s,t);-1!=e&&(i=e)}}return i}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=b,b.__name__=\"GlyphRenderer\",b.init_GlyphRenderer()},\n",
+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),a=e(65),_=t.__importStar(e(18));class i extends a.RendererView{}n.DataRendererView=i,i.__name__=\"DataRendererView\";class d extends a.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.define({x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"glyph\"})}}n.DataRenderer=d,d.__name__=\"DataRenderer\",d.init_DataRenderer()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),_=e(92),l=s.__importStar(e(23)),o=s.__importStar(e(93)),r=e(79);class h extends n.XYGlyphView{_render(e,t,{sx:i,sy:s}){let n=!1,_=null;this.visuals.line.set_value(e);for(const l of t){if(n){if(!isFinite(i[l]+s[l])){e.stroke(),e.beginPath(),n=!1,_=l;continue}null!=_&&l-_>1&&(e.stroke(),n=!1)}n?e.lineTo(i[l],s[l]):(e.beginPath(),e.moveTo(i[l],s[l]),n=!0),_=l}n&&e.stroke()}_hit_point(e){const t=new r.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.visuals.line.line_width.value()/2);for(let e=0,_=this.sx.length-1;e<_;e++){const _={x:this.sx[e],y:this.sy[e]},l={x:this.sx[e+1],y:this.sy[e+1]},r=o.dist_to_segment(i,_,l);r<n&&r<s&&(s=r,t.add_to_selected_glyphs(this.model),t.get_view=()=>this,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=new r.Selection;let n,_;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),_=this._y):(n=this.renderer.xscale.invert(t),_=this._x);for(let e=0,t=_.length-1;e<t;e++)(_[e]<=n&&n<=_[e+1]||_[e+1]<=n&&n<=_[e])&&(s.add_to_selected_glyphs(this.model),s.get_view=()=>this,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return _.line_interpolation(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){_.generic_line_legend(this.visuals,e,t,i)}}i.LineView=h,h.__name__=\"LineView\";class a extends n.XYGlyph{constructor(e){super(e)}static init_Line(){this.prototype.default_view=h,this.mixins(l.Line)}}i.Line=a,a.__name__=\"Line\",a.init_Line()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(85),n=e(89);class _ extends n.GlyphView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y[t];!isNaN(s+i)&&isFinite(s+i)&&e.push({x0:s,y0:i,x1:s,y1:i,i:t})}return new i.SpatialIndex(e)}scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}}s.XYGlyphView=_,_.__name__=\"XYGlyphView\";class h extends n.Glyph{constructor(e){super(e)}static init_XYGlyph(){this.coords([[\"x\",\"y\"]])}}s.XYGlyph=h,h.__name__=\"XYGlyph\",h.init_XYGlyph()},\n",
+       "      function _(n,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=n(1).__importDefault(n(86)),s=n(88);class r{constructor(n){if(this.points=n,this.index=null,n.length>0){this.index=new e.default(n.length);for(const t of n){const{x0:n,y0:i,x1:e,y1:s}=t;this.index.add(n,i,e,s)}this.index.finish()}}_normalize(n){let{x0:t,y0:i,x1:e,y1:s}=n;return t>e&&([t,e]=[e,t]),i>s&&([i,s]=[s,i]),{x0:t,y0:i,x1:e,y1:s}}get bbox(){if(null==this.index)return s.empty();{const{minX:n,minY:t,maxX:i,maxY:e}=this.index;return{x0:n,y0:t,x1:i,y1:e}}}search(n){if(null==this.index)return[];{const{x0:t,y0:i,x1:e,y1:s}=this._normalize(n);return this.index.search(t,i,e,s).map(n=>this.points[n])}}indices(n){return this.search(n).map(({i:n})=>n)}}i.SpatialIndex=r,r.__name__=\"SpatialIndex\"},\n",
+       "      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1).__importDefault(t(87)),h=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class n{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[o]=new Uint32Array(t,4,1);return new n(o,e,h[15&i],t)}constructor(t,s=16,i=Float64Array,n){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let o=t,r=o;this._levelBounds=[4*o];do{o=Math.ceil(o/this.nodeSize),r+=o,this._levelBounds.push(4*r)}while(1!==o);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=h.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);n&&n instanceof ArrayBuffer?(this.data=n,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new e.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,t<this.minX&&(this.minX=t),s<this.minY&&(this.minY=s),i>this.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e<this.numItems;e++){let h=4*e;const n=this._boxes[h++],o=this._boxes[h++],r=this._boxes[h++],a=this._boxes[h++],d=Math.floor(65535*((n+r)/2-this.minX)/t),x=Math.floor(65535*((o+a)/2-this.minY)/s);i[e]=_(d,x)}!function t(s,i,e,h,n,o){if(Math.floor(h/o)>=Math.floor(n/o))return;const r=s[h+n>>1];let _=h-1,d=n+1;for(;;){do{_++}while(s[_]<r);do{d--}while(s[d]>r);if(_>=d)break;a(s,i,e,_,d)}t(s,i,e,h,d,o),t(s,i,e,d+1,n,o)}(i,this._boxes,this._indices,0,this.numItems-1,this.nodeSize);for(let t=0,s=0;t<this._levelBounds.length-1;t++){const i=this._levelBounds[t];for(;s<i;){const t=s;let e=1/0,h=1/0,n=-1/0,o=-1/0;for(let t=0;t<this.nodeSize&&s<i;t++)e=Math.min(e,this._boxes[s++]),h=Math.min(h,this._boxes[s++]),n=Math.max(n,this._boxes[s++]),o=Math.max(o,this._boxes[s++]);this._indices[this._pos>>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],a=[];for(;void 0!==n;){const _=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let r=n;r<_;r+=4){const _=0|this._indices[r>>2];i<this._boxes[r]||(e<this._boxes[r+1]||t>this._boxes[r+2]||s>this._boxes[r+3]||(n<4*this.numItems?(void 0===h||h(_))&&a.push(_):o.push(_)))}n=o.pop()}return a}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const a=this._queue,_=[],d=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let i=n;i<e;i+=4){const e=0|this._indices[i>>2],r=o(t,this._boxes[i],this._boxes[i+2]),_=o(s,this._boxes[i+1],this._boxes[i+3]),d=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&a.push(-e-1,d):a.push(e,d)}for(;a.length&&a.peek()<0;){if(a.peekValue()>d)return a.clear(),_;if(_.push(-a.pop()-1),_.length===i)return a.clear(),_}n=a.pop()}return a.clear(),_}}function o(t,s,i){return t<s?s-t:t<=i?0:t-i}function r(t,s){let i=0,e=s.length-1;for(;i<e;){const h=i+e>>1;s[h]>t?e=h:i=h+1}return s[i]}function a(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],d=s[o+2],x=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=d,s[r+3]=x;const l=i[e];i[e]=i[h],i[h]=l}function _(t,s){let i=t^s,e=65535^i,h=65535^(t|s),n=t&(65535^s),o=i|e>>1,r=i>>1^i,a=h>>1^e&n>>1^h,_=i&h>>1^n>>1^n;i=o,e=r,h=a,n=_,o=i&i>>2^e&e>>2,r=i&e>>2^e&(i^e)>>2,a^=i&h>>2^e&n>>2,_^=e&h>>2^(i^e)&n>>2,i=o,e=r,h=a,n=_,o=i&i>>4^e&e>>4,r=i&e>>4^e&(i^e)>>4,a^=i&h>>4^e&n>>4,_^=e&h>>4^(i^e)&n>>4,i=o,e=r,h=a,n=_,a^=i&h>>8^e&n>>8,_^=e&h>>8^(i^e)&n>>8,i=a^a>>1,e=_^_>>1;let d=t^s,x=e|65535^(d|i);return d=16711935&(d|d<<8),d=252645135&(d|d<<4),d=858993459&(d|d<<2),d=1431655765&(d|d<<1),x=16711935&(x|x<<8),x=252645135&(x|x<<4),x=858993459&(x|x<<2),x=1431655765&(x|x<<1),(x<<1|d)>>>0}i.default=n},\n",
+       "      function _(s,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});i.default=class{constructor(){this.ids=[],this.values=[],this.length=0}clear(){this.length=0}push(s,t){let i=this.length++;for(this.ids[i]=s,this.values[i]=t;i>0;){const s=i-1>>1,h=this.values[s];if(t>=h)break;this.ids[i]=this.ids[s],this.values[i]=h,i=s}this.ids[i]=s,this.values[i]=t}pop(){if(0===this.length)return;const s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let h=0;for(;h<i;){let s=1+(h<<1);const i=s+1;let e=this.ids[s],l=this.values[s];const n=this.values[i];if(i<this.length&&n<l&&(s=i,e=this.ids[i],l=n),l>=t)break;this.ids[h]=e,this.values[h]=l,h=s}this.ids[h]=s,this.values[h]=t}return s}peek(){if(0!==this.length)return this.ids[0]}peekValue(){if(0!==this.length)return this.values[0]}}},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const{min:h,max:r}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:h(t.x0,i.x0),x1:r(t.x1,i.x1),y0:h(t.y0,i.y0),y1:r(t.y1,i.y1)}};class s{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get rect(){return{x0:this.x0,y0:this.y0,x1:this.x1,y1:this.y1}}get box(){return{x:this.x,y:this.y,width:this.width,height:this.height}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}contains(t,i){return t>=this.x0&&t<=this.x1&&i>=this.y0&&i<=this.y1}clip(t,i){return t<this.x0?t=this.x0:t>this.x1&&(t=this.x1),i<this.y0?i=this.y0:i>this.y1&&(i=this.y1),[t,i]}union(t){return new s({x0:h(this.x0,t.x0),y0:h(this.y0,t.y0),x1:r(this.x1,t.x1),y1:r(this.y1,t.y1)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new Float64Array(t.length),e=this.left;for(let h=0;h<t.length;h++)i[h]=e+t[h];return i}}}get yview(){return{compute:t=>this.bottom-t,v_compute:t=>{const i=new Float64Array(t.length),e=this.bottom;for(let h=0;h<t.length;h++)i[h]=e-t[h];return i}}}}e.BBox=s,s.__name__=\"BBox\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=i.__importStar(t(18)),r=i.__importStar(t(88)),a=i.__importStar(t(32)),_=i.__importStar(t(70)),l=t(67),o=t(71),h=t(72),c=t(12),d=t(17),p=t(8),y=t(83),u=t(90),g=t(79);class x extends l.View{constructor(){super(...arguments),this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}initialize(){super.initialize(),this.visuals=new _.Visuals(this.model)}async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e){let s=null;try{s=await Promise.resolve().then(()=>i.__importStar(t(371)))}catch(t){if(\"MODULE_NOT_FOUND\"!==t.code)throw t;h.logger.warn(\"WebGL was requested and is supported, but bokeh-gl(.min).js is not available, falling back to 2D rendering.\")}if(null!=s){const t=s[this.model.type+\"GLGlyph\"];null!=t&&(this.glglyph=new t(e.gl,this))}}}set_visuals(t,e){this.visuals.set_all_indices(e),this.visuals.warm_cache(t),null!=this.glglyph&&this.glglyph.set_visuals_changed()}render(t,e,s){t.beginPath(),null!=this.glglyph&&this.glglyph.render(t,e,s)||this._render(t,e,s)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(t){return t}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const t=r.empty(),e=this.index.search(r.positive_x());for(const s of e)s.x0<t.x0&&(t.x0=s.x0),s.x1>t.x1&&(t.x1=s.x1);const s=this.index.search(r.positive_y());for(const e of s)e.y0<t.y0&&(t.y0=e.y0),e.y1>t.y1&&(t.y1=e.y1);return this._bounds(t)}get_anchor_point(t,e,[s,i]){switch(t){case\"center\":return{x:this.scenterx(e,s,i),y:this.scentery(e,s,i)};default:return null}}sdist(t,e,s,i=\"edge\",n=!1){let r,a;const _=e.length;if(\"center\"==i){const t=c.map(s,t=>t/2);r=new Float64Array(_);for(let s=0;s<_;s++)r[s]=e[s]-t[s];a=new Float64Array(_);for(let s=0;s<_;s++)a[s]=e[s]+t[s]}else{r=e,a=new Float64Array(_);for(let t=0;t<_;t++)a[t]=r[t]+s[t]}const l=t.v_compute(r),o=t.v_compute(a);return n?c.map(l,(t,e)=>Math.ceil(Math.abs(o[e]-l[e]))):c.map(l,(t,e)=>Math.abs(o[e]-l[e]))}draw_legend_for_index(t,e,s){}hit_test(t){switch(t.type){case\"point\":if(null!=this._hit_point)return this._hit_point(t);break;case\"span\":if(null!=this._hit_span)return this._hit_span(t);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(t);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(t)}return this._nohit_warned.has(t.type)||(h.logger.debug(`'${t.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(t.type)),null}_hit_rect_against_index(t){const{sx0:e,sx1:s,sy0:i,sy1:n}=t,[r,a]=this.renderer.xscale.r_invert(e,s),[_,l]=this.renderer.yscale.r_invert(i,n),o=this.index.indices({x0:r,x1:a,y0:_,y1:l});return new g.Selection({indices:o})}set_data(t,e,s){let i=this.model.materialize_dataspecs(t);if(e&&!(this instanceof y.LineView)){const t={};for(const s in i){const n=i[s];\"_\"===s.charAt(0)?t[s]=e.map(t=>n[t]):t[s]=n}i=t}const n=this;if(d.extend(n,i),this.renderer.plot_view.model.use_map&&(null!=n._x&&([n._x,n._y]=a.project_xy(n._x,n._y)),null!=n._xs&&([n._xs,n._ys]=a.project_xsys(n._xs,n._ys)),null!=n._x0&&([n._x0,n._y0]=a.project_xy(n._x0,n._y0)),null!=n._x1&&([n._x1,n._y1]=a.project_xy(n._x1,n._y1))),null!=this.renderer.plot_view.frame.x_ranges){const t=this.renderer.plot_view.frame.x_ranges[this.model.x_range_name],e=this.renderer.plot_view.frame.y_ranges[this.model.y_range_name];for(let[s,i]of this.model._coords)s=\"_\"+s,i=\"_\"+i,null!=n._xs?(t instanceof u.FactorRange&&(n[s]=c.map(n[s],e=>t.v_synthetic(e))),e instanceof u.FactorRange&&(n[i]=c.map(n[i],t=>e.v_synthetic(t)))):(t instanceof u.FactorRange&&(n[s]=t.v_synthetic(n[s])),e instanceof u.FactorRange&&(n[i]=e.v_synthetic(n[i])))}null!=this.glglyph&&this.glglyph.set_data_changed(n._x.length),this._set_data(s),this.index_data()}_set_data(t){}index_data(){this.index=this._index_data()}mask_data(t){return null!=this.glglyph||null==this._mask_data?t:this._mask_data()}map_data(){const t=this;for(let[e,s]of this.model._coords){const i=\"s\"+e,n=\"s\"+s;if(e=\"_\"+e,s=\"_\"+s,null!=t[e]&&(p.isArray(t[e][0])||p.isTypedArray(t[e][0]))){const r=t[e].length;t[i]=new Array(r),t[n]=new Array(r);for(let a=0;a<r;a++){const[r,_]=this.map_to_screen(t[e][a],t[s][a]);t[i][a]=r,t[n][a]=_}}else[t[i],t[n]]=this.map_to_screen(t[e],t[s])}this._map_data()}_map_data(){}map_to_screen(t,e){return this.renderer.plot_view.map_to_screen(t,e,this.model.x_range_name,this.model.y_range_name)}}s.GlyphView=x,x.__name__=\"GlyphView\";class m extends o.Model{constructor(t){super(t)}static init_Glyph(){this.prototype._coords=[],this.internal({x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"]})}static coords(t){const e=this.prototype._coords.concat(t);this.prototype._coords=e;const s={};for(const[e,i]of t)s[e]=[n.CoordinateSpec],s[i]=[n.CoordinateSpec];this.define(s)}}s.Glyph=m,m.__name__=\"Glyph\",m.init_Glyph()},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=t(1),i=t(91),r=s.__importStar(t(18)),a=t(12),o=t(9),p=t(8),g=t(11);function c(t,e,n=0){const s=new Map;for(let i=0;i<t.length;i++){const r=t[i];if(s.has(r))throw new Error(\"duplicate factor or subfactor: \"+r);s.set(r,{value:.5+i*(1+e)+n})}return[s,(t.length-1)*e]}function l(t,e,n,s=0){var i;const r=new Map,a=new Map;for(const[e,n]of t){const t=null!==(i=a.get(e))&&void 0!==i?i:[];a.set(e,[...t,n])}let p=s,g=0;for(const[t,s]of a){const i=s.length,[a,l]=c(s,n,p);g+=l;const u=o.sum(s.map(t=>a.get(t).value));r.set(t,{value:u/i,mapping:a}),p+=i+e+l}return[r,(a.size-1)*e+g]}function u(t,e,n,s,i=0){var r;const a=new Map,p=new Map;for(const[e,n,s]of t){const t=null!==(r=p.get(e))&&void 0!==r?r:[];p.set(e,[...t,[n,s]])}let g=i,c=0;for(const[t,i]of p){const r=i.length,[p,u]=l(i,n,s,g);c+=u;const h=o.sum(i.map(([t])=>p.get(t).value));a.set(t,{value:h/r,mapping:p}),g+=r+e+u}return[a,(p.size-1)*e+c]}n.map_one_level=c,n.map_two_levels=l,n.map_three_levels=u;class h extends i.Range{constructor(t){super(t)}static init_FactorRange(){this.define({factors:[r.Array,[]],factor_padding:[r.Number,0],subgroup_padding:[r.Number,.8],group_padding:[r.Number,1.4],range_padding:[r.Number,0],range_padding_units:[r.PaddingUnits,\"percent\"],start:[r.Number],end:[r.Number]}),this.internal({levels:[r.Number],mids:[r.Array,null],tops:[r.Array,null]})}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,()=>this.reset()),this.connect(this.properties.factor_padding.change,()=>this.reset()),this.connect(this.properties.group_padding.change,()=>this.reset()),this.connect(this.properties.subgroup_padding.change,()=>this.reset()),this.connect(this.properties.range_padding.change,()=>this.reset()),this.connect(this.properties.range_padding_units.change,()=>this.reset())}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[e]=t,n=this._mapping.get(e);return null!=n?n.value:NaN}case 2:{const[e,n]=t,s=this._mapping.get(e);if(null!=s){const t=s.mapping.get(n);if(null!=t)return t.value}return NaN}case 3:{const[e,n,s]=t,i=this._mapping.get(e);if(null!=i){const t=i.mapping.get(n);if(null!=t){const e=t.mapping.get(s);if(null!=e)return e.value}}return NaN}default:g.unreachable()}}synthetic(t){if(p.isNumber(t))return t;if(p.isString(t))return this._lookup([t]);let e=0;const n=t[t.length-1];return p.isNumber(n)&&(e=n,t=t.slice(0,-1)),this._lookup(t)+e}v_synthetic(t){return a.map(t,t=>this.synthetic(t))}_init(t){const{levels:e,mapping:n,tops:s,mids:i,inside_padding:r}=(()=>{if(o.every(this.factors,p.isString)){const t=this.factors,[e,n]=c(t,this.factor_padding);return{levels:1,mapping:e,tops:null,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&2==t.length&&p.isString(t[0])&&p.isString(t[1]))){const t=this.factors,[e,n]=l(t,this.group_padding,this.factor_padding),s=[...e.keys()];return{levels:2,mapping:e,tops:s,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&3==t.length&&p.isString(t[0])&&p.isString(t[1])&&p.isString(t[2]))){const t=this.factors,[e,n]=u(t,this.group_padding,this.subgroup_padding,this.factor_padding),s=[...e.keys()],i=[];for(const[t,n]of e)for(const e of n.mapping.keys())i.push([t,e]);return{levels:3,mapping:e,tops:s,mids:i,inside_padding:n}}g.unreachable()})();this._mapping=n,this.tops=s,this.mids=i;let a=0,h=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(h-a)*this.range_padding/2;a-=t,h+=t}else a-=this.range_padding,h+=this.range_padding;this.setv({start:a,end:h,levels:e},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,h]},{silent:!0})}}n.FactorRange=h,h.__name__=\"FactorRange\",h.init_FactorRange()},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(71),r=i.__importStar(e(18));class s extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define({bounds:[r.Any],min_interval:[r.Any],max_interval:[r.Any]}),this.internal({plots:[r.Array,[]]})}get is_reversed(){return this.start>this.end}}n.Range=s,s.__name__=\"Range\",s.init_Range()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1).__importStar(e(93));i.generic_line_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){t.save(),t.beginPath(),t.moveTo(i,(c+o)/2),t.lineTo(n,(c+o)/2),e.line.doit&&(e.line.set_vectorize(t,r),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){const l=.1*Math.abs(n-i),a=.1*Math.abs(o-c),s=i+l,_=n-l,h=c+a,v=o-a;e.fill.doit&&(e.fill.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(s,h,_-s,v-h),e.line.set_vectorize(t,r),t.stroke())},i.line_interpolation=function(e,t,i,c,o,r){const{sx:l,sy:a}=t;let s,_,h,v;\"point\"==t.type?([h,v]=e.yscale.r_invert(a-1,a+1),[s,_]=e.xscale.r_invert(l-1,l+1)):\"v\"==t.direction?([h,v]=e.yscale.r_invert(a,a),[s,_]=[Math.min(i-1,o-1),Math.max(i+1,o+1)]):([s,_]=e.xscale.r_invert(l,l),[h,v]=[Math.min(c-1,r-1),Math.max(c+1,r+1)]);const{x,y}=n.check_2_segments_intersect(s,h,_,v,i,c,o,r);return[x,y]}},\n",
+       "      function _(t,n,e){function i(t){return t*t}function o(t,n){return i(t.x-n.x)+i(t.y-n.y)}function r(t,n,e){const i=o(n,e);if(0==i)return o(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;return o(t,r<0?n:r>1?e:{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}Object.defineProperty(e,\"__esModule\",{value:!0}),e.point_in_poly=function(t,n,e,i){let o=!1,r=e[e.length-1],s=i[i.length-1];for(let u=0;u<e.length;u++){const c=e[u],_=i[u];s<n!=_<n&&r+(n-s)/(_-s)*(c-r)<t&&(o=!o),r=c,s=_}return o},e.point_in_ellipse=function(t,n,e,i,o,r,s){return((Math.cos(e)/o)**2+(Math.sin(e)/i)**2)*(t-r)**2+2*Math.cos(e)*Math.sin(e)*((1/o)**2-(1/i)**2)*(t-r)*(n-s)+((Math.cos(e)/i)**2+(Math.sin(e)/o)**2)*(n-s)**2<=1},e.dist_2_pts=o,e.dist_to_segment_squared=r,e.dist_to_segment=function(t,n,e){return Math.sqrt(r(t,n,e))},e.check_2_segments_intersect=function(t,n,e,i,o,r,s,u){const c=(u-r)*(e-t)-(s-o)*(i-n);if(0==c)return{hit:!1,x:null,y:null};{let _=n-r,l=t-o;const y=(e-t)*_-(i-n)*l;return _=((s-o)*_-(u-r)*l)/c,l=y/c,{hit:_>0&&_<1&&l>0&&l<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),l=e(84),_=e(92),n=s.__importStar(e(93)),o=s.__importStar(e(23)),a=e(79);class h extends l.XYGlyphView{_inner_loop(e,i,t,s,l){for(const _ of i)0!=_?isNaN(t[_]+s[_])?(e.closePath(),l.apply(e),e.beginPath()):e.lineTo(t[_],s[_]):(e.beginPath(),e.moveTo(t[_],s[_]));e.closePath(),l.call(e)}_render(e,i,{sx:t,sy:s}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner_loop(e,i,t,s,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner_loop(e,i,t,s,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_value(e),this._inner_loop(e,i,t,s,e.stroke))}draw_legend_for_index(e,i,t){_.generic_area_legend(this.visuals,e,i,t)}_hit_point(e){const i=new a.Selection;return n.point_in_poly(e.sx,e.sy,this.sx,this.sy)&&(i.add_to_selected_glyphs(this.model),i.get_view=()=>this),i}}t.PatchView=h,h.__name__=\"PatchView\";class r extends l.XYGlyph{constructor(e){super(e)}static init_Patch(){this.prototype.default_view=h,this.mixins([o.Line,o.Fill,o.Hatch])}}t.Patch=r,r.__name__=\"Patch\",r.init_Patch()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x1.length;t<s;t++){const s=this._x1[t],i=this._x2[t],r=this._y[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:Math.min(s,i),y0:r,x1:Math.max(s,i),y1:r,i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let s=0,r=t.length;s<r;s++)e.lineTo(t[s],i[s]);for(let t=s.length-1;t>=0;t--)e.lineTo(s[t],i[t]);e.closePath(),r.call(e)}_render(e,t,{sx1:s,sx2:i,sy:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}_hit_point(e){const t=this.sy.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx1[e],i[e]=this.sy[e],s[t+e]=this.sx2[t-e-1],i[t+e]=this.sy[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}scenterx(e){return(this.sx1[e]+this.sx2[e])/2}scentery(e){return this.sy[e]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}s.HAreaView=l,l.__name__=\"HAreaView\";class o extends r.Area{constructor(e){super(e)}static init_HArea(){this.prototype.default_view=l,this.define({x1:[_.CoordinateSpec],x2:[_.CoordinateSpec],y:[_.CoordinateSpec]})}}s.HArea=o,o.__name__=\"HArea\",o.init_HArea()},\n",
+       "      function _(e,_,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(1),r=e(89),t=e(92),n=a.__importStar(e(23));class s extends r.GlyphView{draw_legend_for_index(e,_,i){t.generic_area_legend(this.visuals,e,_,i)}}i.AreaView=s,s.__name__=\"AreaView\";class c extends r.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([n.Fill,n.HatchVector])}}i.Area=c,c.__name__=\"Area\",c.init_Area()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y1[t],r=this._y2[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:s,y0:Math.min(i,r),x1:s,y1:Math.max(i,r),i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let i=0,r=s.length;i<r;i++)e.lineTo(t[i],s[i]);for(let s=i.length-1;s>=0;s--)e.lineTo(t[s],i[s]);e.closePath(),r.call(e)}_render(e,t,{sx:s,sy1:i,sy2:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}scenterx(e){return this.sx[e]}scentery(e){return(this.sy1[e]+this.sy2[e])/2}_hit_point(e){const t=this.sx.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx[e],i[e]=this.sy1[e],s[t+e]=this.sx[t-e-1],i[t+e]=this.sy2[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}s.VAreaView=l,l.__name__=\"VAreaView\";class o extends r.Area{constructor(e){super(e)}static init_VArea(){this.prototype.default_view=l,this.define({x:[_.CoordinateSpec],y1:[_.CoordinateSpec],y2:[_.CoordinateSpec]})}}s.VArea=o,o.__name__=\"VArea\",o.init_VArea()},\n",
+       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),c=t.__importStar(i(18)),o=i(79),r=i(9),_=i(77);class h extends n.Model{constructor(i){super(i)}static init_CDSView(){this.define({filters:[c.Array,[]],source:[c.Instance]}),this.internal({indices:[c.Array,[]],indices_map:[c.Any,{}]})}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,()=>{this.compute_indices(),this.change.emit()});const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,()=>{e||(i(),e=!0)})}compute_indices(){const i=this.filters.map(i=>i.compute_indices(this.source)).filter(i=>null!=i);i.length>0?this.indices=r.intersection.apply(this,i):this.source instanceof _.ColumnarDataSource&&(this.indices=this.source.get_indices()),this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;i<this.indices.length;i++)this.indices_map[this.indices[i]]=i}convert_selection_from_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_selection_to_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices_map[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_indices_from_subset(i){return i.map(i=>this.indices[i])}}s.CDSView=h,h.__name__=\"CDSView\",h.init_CDSView()},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(9);async function i(e,n,t){const o=new e(Object.assign(Object.assign({},t),{model:n}));return o.initialize(),await o.lazy_initialize(),o}t.build_view=async function(e,n={parent:null},t=(e=>e.default_view)){const o=await i(t(e),e,n);return o.connect_signals(),o},t.build_views=async function(e,n,t={parent:null},s=(e=>e.default_view)){const c=o.difference([...e.keys()],n);for(const n of c)e.get(n).remove(),e.delete(n);const a=[],f=n.filter(n=>!e.has(n));for(const n of f){const o=await i(s(n),n,t);e.set(n,o),a.push(o)}for(const e of a)e.connect_signals();return a},t.remove_views=function(e){for(const[n,t]of e)t.remove(),e.delete(n)}},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),r=e(82),i=e(101),a=s.__importStar(e(18)),d=e(99);class _ extends r.DataRendererView{initialize(){super.initialize(),this.xscale=this.plot_view.frame.xscales.default,this.yscale=this.plot_view.frame.yscales.default,this._renderer_views=new Map}async lazy_initialize(){[this.node_view,this.edge_view]=await d.build_views(this._renderer_views,[this.model.node_renderer,this.model.edge_renderer],{parent:this.parent}),this.set_data()}remove(){d.remove_views(this._renderer_views),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,()=>this.set_data()),this.connect(this.model.node_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.change,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.change,()=>this.set_data());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const n=e[t];this.connect(n.change,()=>this.set_data())}for(const e in t){const n=t[e];this.connect(n.change,()=>this.set_data())}}set_data(e=!0){this.node_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.edge_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0});const t=this.node_view.glyph;[t._x,t._y]=this.model.layout_provider.get_node_coordinates(this.model.node_renderer.data_source);const n=this.edge_view.glyph;[n._xs,n._ys]=this.model.layout_provider.get_edge_coordinates(this.model.edge_renderer.data_source),t.index_data(),n.index_data(),e&&this.request_render()}render(){this.edge_view.render(),this.node_view.render()}}n.GraphRendererView=_,_.__name__=\"GraphRendererView\";class o extends r.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=_,this.define({layout_provider:[a.Instance],node_renderer:[a.Instance],edge_renderer:[a.Instance],selection_policy:[a.Instance,()=>new i.NodesOnly],inspection_policy:[a.Instance,()=>new i.NodesOnly]})}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=o,o.__name__=\"GraphRenderer\",o.init_GraphRenderer()},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const d=e(71),s=e(12),o=e(9),_=e(79);class i extends d.Model{constructor(e){super(e)}_hit_test_nodes(e,t){if(!t.model.visible)return null;const n=t.node_view.glyph.hit_test(e);return null==n?null:t.node_view.model.view.convert_selection_from_subset(n)}_hit_test_edges(e,t){if(!t.model.visible)return null;const n=t.edge_view.glyph.hit_test(e);return null==n?null:t.edge_view.model.view.convert_selection_from_subset(n)}}n.GraphHitTestPolicy=i,i.__name__=\"GraphHitTestPolicy\";class r extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.model.get_selection_manager().get_or_create_inspector(n.node_view.model);return o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesOnly=r,r.__name__=\"NodesOnly\";class c extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}get_linked_edges(e,t,n){let d=[];\"selection\"==n?d=e.selected.indices.map(t=>e.data.index[t]):\"inspection\"==n&&(d=e.inspected.indices.map(t=>e.data.index[t]));const s=[];for(let e=0;e<t.data.start.length;e++)(o.contains(d,t.data.start[e])||o.contains(d,t.data.end[e]))&&s.push(e);const i=new _.Selection;for(const e of s)i.multiline_indices[e]=[0];return i.indices=s,i}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;s.update(e,n,d);const o=t.edge_renderer.data_source.selected,_=this.get_linked_edges(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model);o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model),i=this.get_linked_edges(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.edge_view.model.data_source.setv({inspected:_},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesAndLinkedEdges=c,c.__name__=\"NodesAndLinkedEdges\";class a extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_edges(e,t)}get_linked_nodes(e,t,n){let d=[];\"selection\"==n?d=t.selected.indices:\"inspection\"==n&&(d=t.inspected.indices);const i=[];for(const e of d)i.push(t.data.start[e]),i.push(t.data.end[e]);const r=o.uniq(i).map(t=>s.indexOf(e.data.index,t));return new _.Selection({indices:r})}do_selection(e,t,n,d){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,n,d);const o=t.node_renderer.data_source.selected,_=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model);o.update(e,d,s),n.edge_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model),i=this.get_linked_nodes(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.node_view.model.data_source.setv({inspected:_},{silent:!0}),n.edge_view.model.data_source.inspect.emit([n.edge_view,{geometry:t}]),!o.is_empty()}}n.EdgesAndLinkedNodes=a,a.__name__=\"EdgesAndLinkedNodes\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(71);class o extends s.Model{do_selection(e,t,n,s){return null!==e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=o,o.__name__=\"SelectionPolicy\";class r extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=r,r.__name__=\"IntersectRenderers\";class c extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=c,c.__name__=\"UnionRenderers\"},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.concat=function(t,...e){let n=t.length;for(const t of e)n+=t.length;const o=new t.constructor(n);o.set(t,0);let c=t.length;for(const t of e)o.set(t,c),c+=t.length;return o}},\n",
+       "      function _(n,o,e){function t(...n){const o=new Set;for(const e of n)for(const n of e)o.add(n);return o}Object.defineProperty(e,\"__esModule\",{value:!0}),e.union=t,e.intersection=function(n,...o){const e=new Set;n:for(const t of n){for(const n of o)if(!n.has(t))continue n;e.add(t)}return e},e.difference=function(n,...o){const e=new Set(n);for(const n of t(...o))e.delete(n);return e}},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(13);class o{constructor(e){this.document=e}}s.DocumentEvent=o,o.__name__=\"DocumentEvent\";class r extends o{constructor(e,t,s){super(e),this.events=t,this.setter_id=s}}s.DocumentEventBatch=r,r.__name__=\"DocumentEventBatch\";class d extends o{}s.DocumentChangedEvent=d,d.__name__=\"DocumentChangedEvent\";class _ extends d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}json(e){const t=this.msg_data,s=n.HasProps._value_to_json(t),o=new Set;return n.HasProps._value_record_references(t,o,{recursive:!0}),{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=_,_.__name__=\"MessageSentEvent\";class i extends d{constructor(e,t,s,n,o,r,d){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=r,this.hint=d}json(e){if(\"id\"===this.attr)throw new Error(\"'id' field should never change, whatever code just set it is wrong\");if(null!=this.hint)return this.hint.json(e);const t=this.new_,s=n.HasProps._value_to_json(t),o=new Set;n.HasProps._value_record_references(t,o,{recursive:!0}),o.has(this.model)&&this.model!==t&&o.delete(this.model);for(const t of o)e.add(t);return{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=i,i.__name__=\"ModelChangedEvent\";class a extends d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}json(e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=a,a.__name__=\"ColumnsPatchedEvent\";class c extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}json(e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=c,c.__name__=\"ColumnsStreamedEvent\";class h extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}json(e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=h,h.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return n.HasProps._value_record_references(this.model,e,{recursive:!0}),{kind:\"RootAdded\",model:this.model.ref()}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class l extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=l,l.__name__=\"RootRemovedEvent\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(31),o=e(76),l=i.__importStar(e(23)),a=i.__importStar(e(18));class n extends _.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],_=\"height\"==t?i:s,o=\"height\"==t?s:i,l=\"height\"==t?e.yview:e.xview,a=\"height\"==t?e.xview:e.yview;let n,h,r;n=\"data\"==this.model.properties.lower.units?_.v_compute(this._lower):l.v_compute(this._lower),h=\"data\"==this.model.properties.upper.units?_.v_compute(this._upper):l.v_compute(this._upper),r=\"data\"==this.model.properties.base.units?o.v_compute(this._base):a.v_compute(this._base);const[c,p]=\"height\"==t?[1,0]:[0,1],u=[n,r],d=[h,r];this._lower_sx=u[c],this._lower_sy=u[p],this._upper_sx=d[c],this._upper_sy=d[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);for(let t=this._upper_sx.length-1;t>=0;t--)e.lineTo(this._upper_sx[t],this._upper_sy[t]);e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(e),e.fill()),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke()),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let t=0,s=this._upper_sx.length;t<s;t++)e.lineTo(this._upper_sx[t],this._upper_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke())}}s.BandView=n,n.__name__=\"BandView\";class h extends _.Annotation{constructor(e){super(e)}static init_Band(){this.prototype.default_view=n,this.mixins([l.Line,l.Fill]),this.define({lower:[a.DistanceSpec],upper:[a.DistanceSpec],base:[a.DistanceSpec],dimension:[a.Dimension,\"height\"],source:[a.Instance,()=>new o.ColumnDataSource],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}}s.Band=h,h.__name__=\"Band\",h.init_Band()},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),n=t(31),o=t(14),l=s.__importStar(t(23)),a=s.__importStar(t(18)),r=t(88);e.EDGE_TOLERANCE=2.5;class h extends n.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this)),this.connect(this.model.data_update,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;if(null==this.model.left&&null==this.model.right&&null==this.model.top&&null==this.model.bottom)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],e=t.yscales[this.model.y_range_name],s=(t,i,e,s,n)=>{let o;return o=null!=t?this.model.screen?t:\"data\"==i?e.compute(t):s.compute(t):n,o};this.sleft=s(this.model.left,this.model.left_units,i,t.xview,t._left.value),this.sright=s(this.model.right,this.model.right_units,i,t.xview,t._right.value),this.stop=s(this.model.top,this.model.top_units,e,t.yview,t._top.value),this.sbottom=s(this.model.bottom,this.model.bottom_units,e,t.yview,t._bottom.value),this._paint_box(this.sleft,this.sright,this.sbottom,this.stop)}_paint_box(t,i,e,s){const{ctx:n}=this.layer;n.save(),n.beginPath(),n.rect(t,s,i-t,e-s),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill()),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),n.restore()}interactive_bbox(){const t=this.model.properties.line_width.value()+e.EDGE_TOLERANCE;return new r.BBox({x0:this.sleft-t,y0:this.stop-t,x1:this.sright+t,y1:this.sbottom+t})}interactive_hit(t,i){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,i)}cursor(t,i){return Math.abs(t-this.sleft)<3||Math.abs(t-this.sright)<3?this.model.ew_cursor:Math.abs(i-this.sbottom)<3||Math.abs(i-this.stop)<3?this.model.ns_cursor:t>this.sleft&&t<this.sright&&i>this.stop&&i<this.sbottom?this.model.in_cursor:null}}e.BoxAnnotationView=h,h.__name__=\"BoxAnnotationView\";class _ extends n.Annotation{constructor(t){super(t)}static init_BoxAnnotation(){this.prototype.default_view=h,this.mixins([l.Line,l.Fill]),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],top:[a.Number,null],top_units:[a.SpatialUnits,\"data\"],bottom:[a.Number,null],bottom_units:[a.SpatialUnits,\"data\"],left:[a.Number,null],left_units:[a.SpatialUnits,\"data\"],right:[a.Number,null],right_units:[a.SpatialUnits,\"data\"]}),this.internal({screen:[a.Boolean,!1],ew_cursor:[a.String,null],ns_cursor:[a.String,null],in_cursor:[a.String,null]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({left:t,right:i,top:e,bottom:s}){this.setv({left:t,right:i,top:e,bottom:s,screen:!0},{silent:!0}),this.data_update.emit()}}e.BoxAnnotation=_,_.__name__=\"BoxAnnotation\",_.init_BoxAnnotation()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),a=t(31),s=t(109),r=t(113),l=t(115),n=t(120),_=t(130),h=t(131),m=o.__importStar(t(23)),d=o.__importStar(t(18)),c=o.__importStar(t(132)),u=t(9),p=t(12),g=t(8),f=t(11);class b extends a.AnnotationView{initialize(){super.initialize(),this._set_canvas_image()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.visible.change,()=>this.plot_view.request_render()),this.connect(this.model.ticker.change,()=>this.plot_view.request_render()),this.connect(this.model.formatter.change,()=>this.plot_view.request_render()),null!=this.model.color_mapper&&this.connect(this.model.color_mapper.change,()=>{this._set_canvas_image(),this.plot_view.request_render()})}_get_size(){if(null==this.model.color_mapper)return{width:0,height:0};{const{width:t,height:e}=this.compute_legend_dimensions();return{width:t,height:e}}}_set_canvas_image(){if(null==this.model.color_mapper)return;let t,e,{palette:i}=this.model.color_mapper;switch(\"vertical\"==this.model.orientation&&(i=u.reversed(i)),this.model.orientation){case\"vertical\":[t,e]=[1,i.length];break;case\"horizontal\":[t,e]=[i.length,1]}const o=document.createElement(\"canvas\");o.width=t,o.height=e;const a=o.getContext(\"2d\"),s=a.getImageData(0,0,t,e),r=new l.LinearColorMapper({palette:i}).rgba_mapper.v_compute(u.range(0,i.length));s.data.set(r),a.putImageData(s,0,0),this.image=o}compute_legend_dimensions(){const t=this._computed_image_dimensions(),[e,i]=[t.height,t.width],o=this._get_label_extent(),a=this._title_extent(),s=this._tick_extent(),{padding:r}=this.model;let l,n;switch(this.model.orientation){case\"vertical\":l=e+a+2*r,n=i+s+o+2*r;break;case\"horizontal\":l=e+a+s+o+2*r,n=i+2*r}return{width:n,height:l}}compute_legend_location(){const t=this.compute_legend_dimensions(),[e,i]=[t.height,t.width],o=this.model.margin,a=null!=this.panel?this.panel:this.plot_view.frame,[s,r]=a.bbox.ranges,{location:l}=this.model;let n,_;if(g.isString(l))switch(l){case\"top_left\":n=s.start+o,_=r.start+o;break;case\"top_center\":n=(s.end+s.start)/2-i/2,_=r.start+o;break;case\"top_right\":n=s.end-o-i,_=r.start+o;break;case\"bottom_right\":n=s.end-o-i,_=r.end-o-e;break;case\"bottom_center\":n=(s.end+s.start)/2-i/2,_=r.end-o-e;break;case\"bottom_left\":n=s.start+o,_=r.end-o-e;break;case\"center_left\":n=s.start+o,_=(r.end+r.start)/2-e/2;break;case\"center\":n=(s.end+s.start)/2-i/2,_=(r.end+r.start)/2-e/2;break;case\"center_right\":n=s.end-o-i,_=(r.end+r.start)/2-e/2}else if(g.isArray(l)&&2==l.length){const[t,i]=l;n=a.xview.compute(t),_=a.yview.compute(i)-e}else f.unreachable();return{sx:n,sy:_}}render(){if(!this.model.visible||null==this.model.color_mapper)return;const{ctx:t}=this.layer;t.save();const{sx:e,sy:i}=this.compute_legend_location();t.translate(e,i),this._draw_bbox(t);const o=this._get_image_offset();if(t.translate(o.x,o.y),this._draw_image(t),null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high){const e=this.tick_info();this._draw_major_ticks(t,e),this._draw_minor_ticks(t,e),this._draw_major_labels(t,e)}this.model.title&&this._draw_title(t),t.restore()}_draw_bbox(t){const e=this.compute_legend_dimensions();t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(0,0,e.width,e.height)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_image(t){const e=this._computed_image_dimensions();t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this.image,0,0,e.width,e.height),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_major_ticks(t,e){if(!this.visuals.major_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.major,_=this.model.major_tick_in,h=this.model.major_tick_out;t.save(),t.translate(s,r),this.visuals.major_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_minor_ticks(t,e){if(!this.visuals.minor_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.minor,_=this.model.minor_tick_in,h=this.model.minor_tick_out;t.save(),t.translate(s,r),this.visuals.minor_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_major_labels(t,e){if(!this.visuals.major_label_text.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],l=this.model.label_standoff+this._tick_extent(),[n,_]=[l*i,l*o],[h,m]=e.coords.major,d=e.labels.major;this.visuals.major_label_text.set_value(t),t.save(),t.translate(s+n,r+_);for(let e=0,a=h.length;e<a;e++)t.fillText(d[e],Math.round(h[e]+i*this.model.label_standoff),Math.round(m[e]+o*this.model.label_standoff));t.restore()}_draw_title(t){this.visuals.title_text.doit&&(t.save(),this.visuals.title_text.set_value(t),t.fillText(this.model.title,0,-this.model.title_standoff),t.restore())}_get_label_extent(){const t=this.tick_info().labels.major;let e;if(null==this.model.color_mapper.low||null==this.model.color_mapper.high||u.is_empty(t))e=0;else{const{ctx:i}=this.layer;switch(i.save(),this.visuals.major_label_text.set_value(i),this.model.orientation){case\"vertical\":e=u.max(t.map(t=>i.measureText(t.toString()).width));break;case\"horizontal\":e=c.measure_font(this.visuals.major_label_text.font_value()).height}e+=this.model.label_standoff,i.restore()}return e}_get_image_offset(){return{x:this.model.padding,y:this.model.padding+this._title_extent()}}_normals(){return\"vertical\"==this.model.orientation?[1,0]:[0,1]}_title_extent(){const t=this.model.title_text_font+\" \"+this.model.title_text_font_size+\" \"+this.model.title_text_font_style;return this.model.title?c.measure_font(t).height+this.model.title_standoff:0}_tick_extent(){return null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high?u.max([this.model.major_tick_out,this.model.minor_tick_out]):0}_computed_image_dimensions(){const t=this.plot_view.frame._height.value,e=this.plot_view.frame._width.value,i=this._title_extent();let o,a;switch(this.model.orientation){case\"vertical\":\"auto\"==this.model.height?null!=this.panel?o=t-2*this.model.padding-i:(o=u.max([25*this.model.color_mapper.palette.length,.3*t]),o=u.min([o,.8*t-2*this.model.padding-i])):o=this.model.height,a=\"auto\"==this.model.width?25:this.model.width;break;case\"horizontal\":o=\"auto\"==this.model.height?25:this.model.height,\"auto\"==this.model.width?null!=this.panel?a=e-2*this.model.padding:(a=u.max([25*this.model.color_mapper.palette.length,.3*e]),a=u.min([a,.8*e-2*this.model.padding])):a=this.model.width}return{width:a,height:o}}_tick_coordinate_scale(t){const e={source_range:new h.Range1d({start:this.model.color_mapper.low,end:this.model.color_mapper.high}),target_range:new h.Range1d({start:0,end:t})};switch(this.model.color_mapper.type){case\"LinearColorMapper\":return new n.LinearScale(e);case\"LogColorMapper\":return new _.LogScale(e);default:f.unreachable()}}_format_major_labels(t,e){const i=this.model.formatter.doFormat(t,null);for(let t=0,o=e.length;t<o;t++)e[t]in this.model.major_label_overrides&&(i[t]=this.model.major_label_overrides[e[t]]);return i}tick_info(){const t=this._computed_image_dimensions();let e;switch(this.model.orientation){case\"vertical\":e=t.height;break;case\"horizontal\":e=t.width}const i=this._tick_coordinate_scale(e),[o,a]=this._normals(),[s,r]=[this.model.color_mapper.low,this.model.color_mapper.high],l=this.model.ticker.get_ticks(s,r,null,null,this.model.ticker.desired_num_ticks),n=l.major,_=l.minor,h=[[],[]],m=[[],[]];for(let t=0,e=n.length;t<e;t++)n[t]<s||n[t]>r||(h[o].push(n[t]),h[a].push(0));for(let t=0,e=_.length;t<e;t++)_[t]<s||_[t]>r||(m[o].push(_[t]),m[a].push(0));const d={major:this._format_major_labels(h[o],n)},c={major:[[],[]],minor:[[],[]]};return c.major[o]=i.v_compute(h[o]),c.minor[o]=i.v_compute(m[o]),c.major[a]=h[a],c.minor[a]=m[a],\"vertical\"==this.model.orientation&&(c.major[o]=p.map(c.major[o],t=>e-t),c.minor[o]=p.map(c.minor[o],t=>e-t)),{coords:c,labels:d}}}i.ColorBarView=b,b.__name__=\"ColorBarView\";class v extends a.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=b,this.mixins([[\"major_label_\",m.Text],[\"title_\",m.Text],[\"major_tick_\",m.Line],[\"minor_tick_\",m.Line],[\"border_\",m.Line],[\"bar_\",m.Line],[\"background_\",m.Fill]]),this.define({location:[d.Any,\"top_right\"],orientation:[d.Orientation,\"vertical\"],title:[d.String],title_standoff:[d.Number,2],width:[d.Any,\"auto\"],height:[d.Any,\"auto\"],scale_alpha:[d.Number,1],ticker:[d.Instance,()=>new s.BasicTicker],formatter:[d.Instance,()=>new r.BasicTickFormatter],major_label_overrides:[d.Any,{}],color_mapper:[d.Instance],label_standoff:[d.Number,5],margin:[d.Number,30],padding:[d.Number,10],major_tick_in:[d.Number,5],major_tick_out:[d.Number,0],minor_tick_in:[d.Number,0],minor_tick_out:[d.Number,0]}),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_align:\"center\",major_label_text_baseline:\"middle\",major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}}i.ColorBar=v,v.__name__=\"ColorBar\",v.init_ColorBar()},\n",
+       "      function _(e,c,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(110);class r extends i.AdaptiveTicker{constructor(e){super(e)}}s.BasicTicker=r,r.__name__=\"BasicTicker\"},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(111),n=t(9),r=a.__importStar(t(18));class _ extends s.ContinuousTicker{constructor(t){super(t)}static init_AdaptiveTicker(){this.define({base:[r.Number,10],mantissas:[r.Array,[1,2,5]],min_interval:[r.Number,0],max_interval:[r.Number]})}initialize(){super.initialize();const t=n.nth(this.mantissas,-1)/this.base,i=n.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,e){const a=i-t,s=this.get_ideal_interval(t,i,e),r=Math.floor(function(t,i=Math.E){return Math.log(t)/Math.log(i)}(s/this.base_factor,this.base)),_=this.base**r*this.base_factor,h=this.extended_mantissas,m=h.map(t=>Math.abs(e-a/(t*_))),o=h[n.argmin(m)];return c=o*_,l=this.get_min_interval(),u=this.get_max_interval(),Math.max(l,Math.min(u,c));var c,l,u}}e.AdaptiveTicker=_,_.__name__=\"AdaptiveTicker\",_.init_AdaptiveTicker()},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),r=t(112),s=n.__importStar(t(18)),o=t(9);class _ extends r.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define({num_minor_ticks:[s.Number,5],desired_num_ticks:[s.Number,6]})}get_ticks(t,i,e,n,r){return this.get_ticks_no_defaults(t,i,n,this.desired_num_ticks)}get_ticks_no_defaults(t,i,e,n){const r=this.get_interval(t,i,n),s=Math.floor(t/r),_=Math.ceil(i/r);let c;c=isNaN(s)||isNaN(_)?[]:o.range(s,_+1);const u=c.map(t=>t*r).filter(e=>t<=e&&e<=i),a=this.num_minor_ticks,l=[];if(a>0&&u.length>0){const e=r/a,n=o.range(0,a).map(t=>t*e);for(const e of n.slice(1)){const n=u[0]-e;t<=n&&n<=i&&l.push(n)}for(const e of u)for(const r of n){const n=e+r;t<=n&&n<=i&&l.push(n)}}return{major:u,minor:l}}get_min_interval(){return this.min_interval}get_max_interval(){return null!=this.max_interval?this.max_interval:1/0}get_ideal_interval(t,i,e){return(i-t)/e}}e.ContinuousTicker=_,_.__name__=\"ContinuousTicker\",_.init_ContinuousTicker()},\n",
+       "      function _(e,c,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(71);class r extends o.Model{constructor(e){super(e)}}n.Ticker=r,r.__name__=\"Ticker\"},\n",
+       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),s=i(114),n=r.__importStar(i(18));class o extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define({precision:[n.Any,\"auto\"],use_scientific:[n.Boolean,!0],power_limit_high:[n.Number,5],power_limit_low:[n.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,r=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const s of i){const i=Math.abs(s);if(!(i<=r)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){const r=new Array(i.length);if(t)for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toExponential(e);else for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toFixed(e).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");return r}_auto_precision(i,t){const e=new Array(i.length),r=this.last_precision<=15;i:for(let s=this.last_precision;r?s<=15:s>=1;r?s++:s--){if(t){e[0]=i[0].toExponential(s);for(let t=1;t<i.length;t++)if(e[t]==e[t-1])continue i;this.last_precision=s;break}e[0]=i[0].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");for(let t=1;t<i.length;t++)if(e[t]=i[t].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"),e[t]==e[t-1])continue i;this.last_precision=s;break}return this.last_precision}doFormat(i,t){if(0==i.length)return[];const e=this._need_sci(i),r=\"auto\"==this.precision?this._auto_precision(i,e):this.precision;return this._format_with_precision(i,e,r)}}e.BasicTickFormatter=o,o.__name__=\"BasicTickFormatter\",o.init_BasicTickFormatter()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class c extends r.Model{constructor(e){super(e)}}o.TickFormatter=c,c.__name__=\"TickFormatter\"},\n",
+       "      function _(o,n,l){Object.defineProperty(l,\"__esModule\",{value:!0});const e=o(116),t=o(12);class i extends e.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,n,l,e){const{nan_color:i,low_color:r,high_color:s}=e,c=null!=this.low?this.low:t.min(o),h=null!=this.high?this.high:t.max(o),u=l.length-1,a=1/(h-c),_=1/l.length;for(let e=0,t=o.length;e<t;e++){const t=o[e];if(isNaN(t)){n[e]=i;continue}if(t==h){n[e]=l[u];continue}const p=(t-c)*a,f=Math.floor(p/_);n[e]=f<0?null!=r?r:l[0]:f>u?null!=s?s:l[u]:l[f]}}}l.LinearColorMapper=i,i.__name__=\"LinearColorMapper\"},\n",
+       "      function _(o,r,l){Object.defineProperty(l,\"__esModule\",{value:!0});const i=o(1),t=o(117),e=i.__importStar(o(18));class s extends t.ColorMapper{constructor(o){super(o)}static init_ContinuousColorMapper(){this.define({high:[e.Number],low:[e.Number],high_color:[e.Color],low_color:[e.Color]})}_colors(o){return Object.assign(Object.assign({},super._colors(o)),{low_color:null!=this.low_color?o(this.low_color):void 0,high_color:null!=this.high_color?o(this.high_color):void 0})}}l.ContinuousColorMapper=s,s.__name__=\"ContinuousColorMapper\",s.init_ContinuousColorMapper()},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(118),_=n.__importStar(t(18)),i=t(8),l=t(20),c=t(28);function a(t){return i.isNumber(t)?t:(\"#\"!=t[0]&&(t=l.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function s(t){const e=new Uint32Array(t.length);for(let r=0,n=t.length;r<n;r++)e[r]=a(t[r]);return e}function p(t){if(c.is_little_endian){const e=new DataView(t.buffer);for(let r=0,n=t.length;r<n;r++)e.setUint32(4*r,t[r])}return new Uint8Array(t.buffer)}r._convert_color=a,r._convert_palette=s,r._uint32_to_rgba=p;class u extends o.Mapper{constructor(t){super(t)}static init_ColorMapper(){this.define({palette:[_.Any],nan_color:[_.Color,\"gray\"]})}v_compute(t){const e=new Array(t.length);return this._v_compute(t,e,this.palette,this._colors(t=>t)),e}get rgba_mapper(){const t=this,e=s(this.palette),r=this._colors(a);return{v_compute(n){const o=new Uint32Array(n.length);return t._v_compute(n,o,e,r),p(o)}}}_colors(t){return{nan_color:t(this.nan_color)}}}r.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n",
+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(119);class s extends o.Transform{constructor(e){super(e)}compute(e){throw new Error(\"mapping single values is not supported\")}}n.Mapper=s,s.__name__=\"Mapper\"},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class s extends r.Model{constructor(e){super(e)}}o.Transform=s,s.__name__=\"Transform\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(121);class _ extends r.ContinuousScale{constructor(e){super(e)}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const c=e(122);class s extends c.Scale{constructor(e){super(e)}}o.ContinuousScale=s,s.__name__=\"ContinuousScale\"},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),_=t(123),s=n.__importStar(t(18));class i extends _.Transform{constructor(t){super(t)}static init_Scale(){this.internal({source_range:[s.Any],target_range:[s.Any]})}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=e*t[_]+r;return n}_linear_invert(t){const[e,r]=this._linear_compute_state();return(t-r)/e}_linear_v_invert(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=(t[_]-r)/e;return n}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,r=this.target_range.start,n=(this.target_range.end-r)/(e-t);return[n,-n*t+r]}}r.Scale=i,i.__name__=\"Scale\",i.init_Scale()},\n",
+       "      function _(r,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=r(124);t.CustomJSTransform=e.CustomJSTransform;var a=r(125);t.Dodge=a.Dodge;var n=r(126);t.Interpolator=n.Interpolator;var p=r(127);t.Jitter=p.Jitter;var l=r(128);t.LinearInterpolator=l.LinearInterpolator;var v=r(129);t.StepInterpolator=v.StepInterpolator;var s=r(119);t.Transform=s.Transform},\n",
+       "      function _(t,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),e=t(119),a=n.__importStar(t(18)),o=t(17),u=t(24);class i extends e.Transform{constructor(t){super(t)}static init_CustomJSTransform(){this.define({args:[a.Any,{}],func:[a.String,\"\"],v_func:[a.String,\"\"]})}get names(){return o.keys(this.args)}get values(){return o.values(this.args)}_make_transform(t,r){return new Function(...this.names,t,u.use_strict(r))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(t){return this.scalar_transform(...this.values,t)}v_compute(t){return this.vector_transform(...this.values,t)}}s.CustomJSTransform=i,i.__name__=\"CustomJSTransform\",i.init_CustomJSTransform()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(1),o=e(119),i=e(90),s=n.__importStar(e(18)),a=e(8);class c extends o.Transform{constructor(e){super(e)}static init_Dodge(){this.define({value:[s.Number,0],range:[s.Instance]})}v_compute(e){let t;if(this.range instanceof i.FactorRange)t=this.range.v_synthetic(e);else{if(!a.isArrayableOf(e,a.isNumber))throw new Error(\"unexpected\");t=e}const r=new Float64Array(t.length);for(let e=0;e<t.length;e++){const n=t[e];r[e]=this._compute(n)}return r}compute(e){if(this.range instanceof i.FactorRange)return this._compute(this.range.synthetic(e));if(a.isNumber(e))return this._compute(e);throw new Error(\"unexpected\")}_compute(e){return e+this.value}}r.Dodge=c,c.__name__=\"Dodge\",c.init_Dodge()},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(119),n=s.__importStar(t(18)),i=t(9),a=t(8);class h extends o.Transform{constructor(t){super(t),this._sorted_dirty=!0}static init_Interpolator(){this.define({x:[n.Any],y:[n.Any],data:[n.Any],clip:[n.Boolean,!0]})}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._sorted_dirty=!0)}v_compute(t){const e=new Float64Array(t.length);for(let r=0;r<t.length;r++){const s=t[r];e[r]=this.compute(s)}return e}sort(t=!1){if(!this._sorted_dirty)return;let e,r;if(a.isString(this.x)&&a.isString(this.y)&&null!=this.data){const t=this.data.columns();if(!i.includes(t,this.x))throw new Error(\"The x parameter does not correspond to a valid column name defined in the data parameter\");if(!i.includes(t,this.y))throw new Error(\"The y parameter does not correspond to a valid column name defined in the data parameter\");e=this.data.get_column(this.x),r=this.data.get_column(this.y)}else{if(!a.isArray(this.x)||!a.isArray(this.y))throw new Error(\"parameters 'x' and 'y' must be both either string fields or arrays\");e=this.x,r=this.y}if(e.length!==r.length)throw new Error(\"The length for x and y do not match\");if(e.length<2)throw new Error(\"x and y must have at least two elements to support interpolation\");const s=[];for(const t in e)s.push({x:e[t],y:r[t]});t?s.sort((t,e)=>t.x>e.x?-1:t.x==e.x?0:1):s.sort((t,e)=>t.x<e.x?-1:t.x==e.x?0:1),this._x_sorted=[],this._y_sorted=[];for(const{x:t,y:e}of s)this._x_sorted.push(t),this._y_sorted.push(e);this._sorted_dirty=!1}}r.Interpolator=h,h.__name__=\"Interpolator\",h.init_Interpolator()},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),n=t(119),s=t(90),o=t(8),u=i.__importStar(t(18)),a=i.__importStar(t(10));class h extends n.Transform{constructor(t){super(t)}static init_Jitter(){this.define({mean:[u.Number,0],width:[u.Number,1],distribution:[u.Distribution,\"uniform\"],range:[u.Instance]}),this.internal({previous_values:[u.Array]})}v_compute(t){if(null!=this.previous_values&&this.previous_values.length==t.length)return this.previous_values;let e;if(this.range instanceof s.FactorRange)e=this.range.v_synthetic(t);else{if(!o.isArrayableOf(t,o.isNumber))throw new Error(\"unexpected\");e=t}const r=new Float64Array(e.length);for(let t=0;t<e.length;t++){const i=e[t];r[t]=this._compute(i)}return this.previous_values=r,r}compute(t){if(this.range instanceof s.FactorRange)return this._compute(this.range.synthetic(t));if(o.isNumber(t))return this._compute(t);throw new Error(\"unexpected\")}_compute(t){switch(this.distribution){case\"uniform\":return t+this.mean+(a.random()-.5)*this.width;case\"normal\":return t+a.rnorm(this.mean,this.width)}}}r.Jitter=h,h.__name__=\"Jitter\",h.init_Jitter()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const _=t(9),r=t(126);class o extends r.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=_.find_last_index(this._x_sorted,s=>s<t),e=this._x_sorted[s],r=this._x_sorted[s+1],o=this._y_sorted[s],i=this._y_sorted[s+1];return o+(t-e)/(r-e)*(i-o)}}e.LinearInterpolator=o,o.__name__=\"LinearInterpolator\"},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(126),_=s.__importStar(t(18)),i=t(9);class n extends o.Interpolator{constructor(t){super(t)}static init_StepInterpolator(){this.define({mode:[_.StepMode,\"after\"]})}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=i.find_last_index(this._x_sorted,e=>t>=e);break;case\"before\":e=i.find_index(this._x_sorted,e=>t<=e);break;case\"center\":{const r=this._x_sorted.map(e=>Math.abs(e-t)),s=i.min(r);e=i.find_index(r,t=>s===t);break}default:throw new Error(\"unknown mode: \"+this.mode)}return-1!=e?this._y_sorted[e]:NaN}}r.StepInterpolator=n,n.__name__=\"StepInterpolator\",n.init_StepInterpolator()},\n",
+       "      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(121);class s extends a.ContinuousScale{constructor(t){super(t)}compute(t){const[e,o,a,s]=this._compute_state();let n;if(0==a)n=0;else{const r=(Math.log(t)-s)/a;n=isFinite(r)?r*e+o:NaN}return n}v_compute(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);if(0==a)for(let e=0;e<t.length;e++)n[e]=0;else for(let r=0;r<t.length;r++){const l=(Math.log(t[r])-s)/a;let c;c=isFinite(l)?l*e+o:NaN,n[r]=c}return n}invert(t){const[e,o,a,s]=this._compute_state(),n=(t-o)/e;return Math.exp(a*n+s)}v_invert(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);for(let r=0;r<t.length;r++){const l=(t[r]-o)/e;n[r]=Math.exp(a*l+s)}return n}_get_safe_factor(t,e){let o=t<0?0:t,a=e<0?0:e;if(o==a)if(0==o)[o,a]=[1,10];else{const t=Math.log(o)/Math.log(10);o=10**Math.floor(t),a=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[o,a]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,o=this.target_range.start,a=this.target_range.end-o,[s,n]=this._get_safe_factor(t,e);let r,l;return 0==s?(r=Math.log(n),l=0):(r=Math.log(n)-Math.log(s),l=Math.log(s)),[a,o,r,l]}}o.LogScale=s,s.__name__=\"LogScale\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(91),r=i.__importStar(t(18));class a extends n.Range{constructor(t){super(t)}static init_Range1d(){this.define({start:[r.Number,0],end:[r.Number,1],reset_start:[r.Number],reset_end:[r.Number]})}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this.reset_start,this.reset_end),e=Math.max(this.reset_start,this.reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),null==this.reset_start&&(this.reset_start=this.start),null==this.reset_end&&(this.reset_end=this.end),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds(),this.start!=this.reset_start||this.end!=this.reset_end?this.setv({start:this.reset_start,end:this.reset_end}):this.change.emit()}}s.Range1d=a,a.__name__=\"Range1d\",a.init_Range1d()},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=t(68),i=new Map;n.measure_font=function(t){const e=i.get(t);if(null!=e)return e;const n=o.span({style:{font:t}},\"Hg\"),l=o.div({style:{display:\"inline-block\",width:\"1px\",height:\"0px\"}}),s=o.div({},n,l);document.body.appendChild(s);try{l.style.verticalAlign=\"baseline\";const e=o.offset(l).top-o.offset(n).top;l.style.verticalAlign=\"bottom\";const d=o.offset(l).top-o.offset(n).top,c={height:d,ascent:e,descent:d-e};return i.set(t,c),c}finally{document.body.removeChild(s)}};const l=new Map;n.measure_text=function(t,e){let n=l.get(e);if(null!=n){const e=n.get(t);if(null!=e)return e}else n=new Map,l.set(e,n);const i=o.div({style:{display:\"inline-block\",\"white-space\":\"nowrap\",font:e}},t);document.body.appendChild(i);try{const{width:e,height:o}=i.getBoundingClientRect();return n.set(t,{width:e,height:o}),{width:e,height:o}}finally{document.body.removeChild(i)}}},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(134),l=e(68),n=s.__importStar(e(23)),o=s.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.warm_cache()}_get_size(){const{ctx:e}=this.layer;this.visuals.text.set_value(e);const{width:t,ascent:i}=e.measureText(this.model.text);return{width:t,height:i}}render(){if(this.model.visible||\"css\"!=this.model.render_mode||l.undisplay(this.el),!this.model.visible)return;let e;switch(this.model.angle_units){case\"rad\":e=-this.model.angle;break;case\"deg\":e=-this.model.angle*Math.PI/180}const t=null!=this.panel?this.panel:this.plot_view.frame,i=this.plot_view.frame.xscales[this.model.x_range_name],s=this.plot_view.frame.yscales[this.model.y_range_name];let a=\"data\"==this.model.x_units?i.compute(this.model.x):t.xview.compute(this.model.x),n=\"data\"==this.model.y_units?s.compute(this.model.y):t.yview.compute(this.model.y);a+=this.model.x_offset,n-=this.model.y_offset,(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,a,n,e)}}i.LabelView=_,_.__name__=\"LabelView\";class r extends a.TextAnnotation{constructor(e){super(e)}static init_Label(){this.prototype.default_view=_,this.mixins([n.Text,[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({x:[o.Number],x_units:[o.SpatialUnits,\"data\"],y:[o.Number],y_units:[o.SpatialUnits,\"data\"],text:[o.String],angle:[o.Angle,0],angle_units:[o.AngleUnits,\"rad\"],x_offset:[o.Number,0],y_offset:[o.Number,0],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}i.Label=r,r.__name__=\"Label\",r.init_Label()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=e(31),a=e(68),n=i.__importStar(e(18)),o=e(132),r=e(11);class _ extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&this.plot_view.canvas_view.add_overlay(this.el)}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,()=>this.render()):this.connect(this.model.change,()=>this.plot_view.request_render())}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=o.measure_font(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let l,a;switch(e.textAlign){case\"left\":l=0;break;case\"center\":l=-s/2;break;case\"right\":l=-s;break;default:r.unreachable()}switch(e.textBaseline){case\"top\":a=0;break;case\"middle\":a=-.5*i;break;case\"bottom\":a=-1*i;break;case\"alphabetic\":a=-.8*i;break;case\"hanging\":a=-.17*i;break;case\"ideographic\":a=-.83*i;break;default:r.unreachable()}return[l,a,s,i]}_canvas_text(e,t,s,i,l){this.visuals.text.set_value(e);const a=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),l&&e.rotate(l),e.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,l){a.undisplay(this.el),this.visuals.text.set_value(e);const n=this._calculate_bounding_box_dimensions(e,t),o=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_value(e),this.visuals.background_fill.set_value(e),this.el.style.position=\"absolute\",this.el.style.left=s+n[0]+\"px\",this.el.style.top=i+n[1]+\"px\",this.el.style.color=\"\"+this.visuals.text.text_color.value(),this.el.style.opacity=\"\"+this.visuals.text.text_alpha.value(),this.el.style.font=\"\"+this.visuals.text.font_value(),this.el.style.lineHeight=\"normal\",l&&(this.el.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(this.el.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(this.el.style.borderStyle=\"\"+o,this.el.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",this.el.style.borderColor=\"\"+this.visuals.border_line.color_value()),this.el.textContent=t,a.display(this.el)}}s.TextAnnotationView=_,_.__name__=\"TextAnnotationView\";class h extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define({render_mode:[n.RenderMode,\"canvas\"]})}}s.TextAnnotation=h,h.__name__=\"TextAnnotation\",h.init_TextAnnotation()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(134),o=t(76),a=i.__importStar(t(23)),n=t(68),r=i.__importStar(t(18));class _ extends l.TextAnnotationView{initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this._text.length;t<e;t++){const t=n.div({style:{display:\"none\"}});this.el.appendChild(t)}}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.render()})):(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}))}set_data(t){super.set_data(t),this.visuals.warm_cache(t)}_map_data(){const t=this.plot_view.frame.xscales[this.model.x_range_name],e=this.plot_view.frame.yscales[this.model.y_range_name],s=null!=this.panel?this.panel:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.yview.v_compute(this._y)]}render(){if(this.model.visible||\"css\"!=this.model.render_mode||n.undisplay(this.el),!this.model.visible)return;const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer,[s,i]=this._map_data();for(let l=0,o=this._text.length;l<o;l++)t(e,l,this._text[l],s[l]+this._x_offset[l],i[l]-this._y_offset[l],this._angle[l])}_get_size(){const{ctx:t}=this.layer;this.visuals.text.set_value(t);const{width:e,ascent:s}=t.measureText(this._text[0]);return{width:e,height:s}}_v_canvas_text(t,e,s,i,l,o){this.visuals.text.set_vectorize(t,e);const a=this._calculate_bounding_box_dimensions(t,s);t.save(),t.beginPath(),t.translate(i,l),t.rotate(o),t.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),t.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),t.stroke()),this.visuals.text.doit&&(this.visuals.text.set_vectorize(t,e),t.fillText(s,0,0)),t.restore()}_v_css_text(t,e,s,i,l,o){const a=this.el.children[e];a.textContent=s,this.visuals.text.set_vectorize(t,e);const r=this._calculate_bounding_box_dimensions(t,s),_=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_vectorize(t,e),this.visuals.background_fill.set_vectorize(t,e),a.style.position=\"absolute\",a.style.left=i+r[0]+\"px\",a.style.top=l+r[1]+\"px\",a.style.color=\"\"+this.visuals.text.text_color.value(),a.style.opacity=\"\"+this.visuals.text.text_alpha.value(),a.style.font=\"\"+this.visuals.text.font_value(),a.style.lineHeight=\"normal\",o&&(a.style.transform=`rotate(${o}rad)`),this.visuals.background_fill.doit&&(a.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(a.style.borderStyle=\"\"+_,a.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",a.style.borderColor=\"\"+this.visuals.border_line.color_value()),n.display(a)}}s.LabelSetView=_,_.__name__=\"LabelSetView\";class h extends l.TextAnnotation{constructor(t){super(t)}static init_LabelSet(){this.prototype.default_view=_,this.mixins([a.TextVector,[\"border_\",a.LineVector],[\"background_\",a.FillVector]]),this.define({x:[r.NumberSpec],y:[r.NumberSpec],x_units:[r.SpatialUnits,\"data\"],y_units:[r.SpatialUnits,\"data\"],text:[r.StringSpec,{field:\"text\"}],angle:[r.AngleSpec,0],x_offset:[r.NumberSpec,{value:0}],y_offset:[r.NumberSpec,{value:0}],source:[r.Instance,()=>new o.ColumnDataSource],x_range_name:[r.String,\"default\"],y_range_name:[r.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=h,h.__name__=\"LabelSet\",h.init_LabelSet()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(31),n=s.__importStar(t(23)),h=s.__importStar(t(18)),a=t(14),o=t(132),_=t(88),r=t(9),d=t(8),c=t(11);class g extends l.AnnotationView{cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.visuals.border_line.line_color.value()?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.item_change,()=>this.plot_view.request_render())}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:s,label_width:l}=this.model;this.max_label_height=r.max([o.measure_font(this.visuals.label_text.font_value()).height,s,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,r.max([n.measureText(e).width,l]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?o.measure_font(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const h=Math.max(r.max([...this.text_widths.values()]),0),a=this.model.margin,{legend_padding:g}=this,m=this.model.spacing,{label_standoff:b}=this.model;let u,f;if(\"vertical\"==this.model.orientation)u=t.length*this.max_label_height+Math.max(t.length-1,0)*m+2*g+this.title_height,f=r.max([h+i+b+2*g,this.title_width+2*g]);else{let e=2*g+Math.max(t.length-1,0)*m;for(const[,t]of this.text_widths)e+=r.max([t,l])+i+b;f=r.max([this.title_width+2*g,e]),u=this.max_label_height+this.title_height+2*g}const x=null!=this.panel?this.panel:this.plot_view.frame,[p,v]=x.bbox.ranges,{location:w}=this.model;let y,k;if(d.isString(w))switch(w){case\"top_left\":y=p.start+a,k=v.start+a;break;case\"top_center\":y=(p.end+p.start)/2-f/2,k=v.start+a;break;case\"top_right\":y=p.end-a-f,k=v.start+a;break;case\"bottom_right\":y=p.end-a-f,k=v.end-a-u;break;case\"bottom_center\":y=(p.end+p.start)/2-f/2,k=v.end-a-u;break;case\"bottom_left\":y=p.start+a,k=v.end-a-u;break;case\"center_left\":y=p.start+a,k=(v.end+v.start)/2-u/2;break;case\"center\":y=(p.end+p.start)/2-f/2,k=(v.end+v.start)/2-u/2;break;case\"center_right\":y=p.end-a-f,k=(v.end+v.start)/2-u/2}else if(d.isArray(w)&&2==w.length){const[t,e]=w;y=x.xview.compute(t),k=x.yview.compute(e)-u}else c.unreachable();return new _.BBox({left:y,top:k,width:f,height:u})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=i=l;const o=this.compute_legend_bbox(),r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop();for(const g of c){const c=o.x+a,m=o.y+i+this.title_height;let b,u;if([b,u]=r?[o.width-2*l,this.max_label_height]:[this.text_widths.get(g)+s+h,this.max_label_height],new _.BBox({left:c,top:m,width:b,height:u}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of d.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of d.renderers)t.muted=!t.muted}return!0}r?i+=this.max_label_height+n:a+=this.text_widths.get(g)+s+h+n}}return!1}render(){if(!this.model.visible)return;if(0==this.model.items.length)return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this.model.title&&this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=l,o=l;const _=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop(),g=d.get_field_from_label_prop();if(0==c.length)continue;const m=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return r.every(d.renderers,t=>t.visible);case\"mute\":return r.every(d.renderers,t=>!t.muted)}})();for(const r of c){const c=e.x+a,b=e.y+o+this.title_height,u=c+i,f=b+s;_?o+=this.max_label_height+n:a+=this.text_widths.get(r)+i+h+n,this.visuals.label_text.set_value(t),t.fillText(r,u+h,b+this.max_label_height/2);for(const e of d.renderers){this.plot_view.renderer_views.get(e).draw_legend(t,c,u,b,f,g,r,d.index)}if(!m){let s,n;[s,n]=_?[e.width-2*l,this.max_label_height]:[this.text_widths.get(r)+i+h,this.max_label_height],t.beginPath(),t.rect(c,b,s,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(this.model.title,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=g,g.__name__=\"LegendView\";class m extends l.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new a.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=g,this.mixins([[\"label_\",n.Text],[\"title_\",n.Text],[\"inactive_\",n.Fill],[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({orientation:[h.Orientation,\"vertical\"],location:[h.Any,\"top_right\"],title:[h.String],title_standoff:[h.Number,5],label_standoff:[h.Number,5],glyph_height:[h.Number,20],glyph_width:[h.Number,20],label_height:[h.Number,20],label_width:[h.Number,20],margin:[h.Number,10],padding:[h.Number,10],spacing:[h.Number,3],items:[h.Array,[]],click_policy:[h.Any,\"none\"]}),this.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=m,m.__name__=\"Legend\",m.init_Legend()},\n",
+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),l=e(71),i=e(77),s=e(138),_=t.__importStar(e(18)),o=e(72),a=e(9);class u extends l.Model{constructor(e){super(e)}static init_LegendItem(){this.define({label:[_.StringSpec,null],renderers:[_.Array,[]],index:[_.Number,null]})}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!a.includes(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,()=>{null!=this.legend&&this.legend.item_change.emit()}),this._check_data_sources_on_renderers()||o.logger.error(\"Non matching data sources on legend item renderers\"),this._check_field_label_on_data_source()||o.logger.error(\"Bad column name on label: \"+this.label)}get_field_from_label_prop(){const{label:e}=this;return s.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(s.isValue(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof i.ColumnarDataSource){const n=r.get_column(e);return null!=n?a.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=u,u.__name__=\"LegendItem\",u.init_LegendItem()},\n",
+       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(8);n.isValue=function(e){return t.isPlainObject(e)&&\"value\"in e},n.isField=function(e){return t.isPlainObject(e)&&\"field\"in e}},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(31),l=n.__importStar(t(23)),o=t(14),a=n.__importStar(t(18));class r extends s.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render())}render(){if(!this.model.visible)return;const{xs:t,ys:e}=this.model;if(t.length!=e.length)return;if(t.length<3||e.length<3)return;const{frame:i}=this.plot_view,{ctx:n}=this.layer;for(let s=0,l=t.length;s<l;s++){let l,o;if(\"screen\"!=this.model.xs_units)throw new Error(\"not implemented\");if(l=this.model.screen?t[s]:i.xview.compute(t[s]),\"screen\"!=this.model.ys_units)throw new Error(\"not implemented\");o=this.model.screen?e[s]:i.yview.compute(e[s]),0==s?(n.beginPath(),n.moveTo(l,o)):n.lineTo(l,o)}n.closePath(),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill())}}i.PolyAnnotationView=r,r.__name__=\"PolyAnnotationView\";class _ extends s.Annotation{constructor(t){super(t)}static init_PolyAnnotation(){this.prototype.default_view=r,this.mixins([l.Line,l.Fill]),this.define({xs:[a.Array,[]],xs_units:[a.SpatialUnits,\"data\"],ys:[a.Array,[]],ys_units:[a.SpatialUnits,\"data\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.internal({screen:[a.Boolean,!1]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({xs:t,ys:e}){this.setv({xs:t,ys:e,screen:!0},{silent:!0}),this.data_update.emit()}}i.PolyAnnotation=_,_.__name__=\"PolyAnnotation\",_.init_PolyAnnotation()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(31),l=n.__importStar(e(23)),o=n.__importStar(e(18));class r extends s.AnnotationView{initialize(){super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render())}render(){this.model.visible&&this._draw_slope()}_draw_slope(){const e=this.model.gradient,t=this.model.y_intercept;if(null==e||null==t)return;const{frame:i}=this.plot_view,n=i.xscales[this.model.x_range_name],s=i.yscales[this.model.y_range_name],l=i._top.value,o=l+i._height.value,r=(s.invert(l)-t)/e,a=(s.invert(o)-t)/e,_=n.compute(r),c=n.compute(a),{ctx:u}=this.layer;u.save(),u.beginPath(),this.visuals.line.set_value(u),u.moveTo(_,l),u.lineTo(c,o),u.stroke(),u.restore()}}i.SlopeView=r,r.__name__=\"SlopeView\";class a extends s.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=r,this.mixins(l.Line),this.define({gradient:[o.Number,null],y_intercept:[o.Number,null],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({line_color:\"black\"})}}i.Slope=a,a.__name__=\"Slope\",a.init_Slope()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),o=e(31),s=n.__importStar(e(23)),a=n.__importStar(e(18));class l extends o.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],n=t.yscales[this.model.y_range_name],o=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,a,l,r;\"width\"==this.model.dimension?(l=o(n,t.yview),a=t._left.value,r=t._width.value,s=this.model.properties.line_width.value()):(l=t._top.value,a=o(i,t.xview),r=this.model.properties.line_width.value(),s=t._height.value);const{ctx:_}=this.layer;_.save(),_.beginPath(),this.visuals.line.set_value(_),_.moveTo(a,l),\"width\"==this.model.dimension?_.lineTo(a+r,l):_.lineTo(a,l+s),_.stroke(),_.restore()}}i.SpanView=l,l.__name__=\"SpanView\";class r extends o.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=l,this.mixins(s.Line),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],location:[a.Number,null],location_units:[a.SpatialUnits,\"data\"],dimension:[a.Dimension,\"width\"]}),this.override({line_color:\"black\"}),this.internal({for_hover:[a.Boolean,!1]})}}i.Span=r,r.__name__=\"Span\",r.init_Span()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1),a=e(134),s=e(68),n=e(70),o=l.__importStar(e(23)),r=l.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.text=new n.Text(this.model)}_get_location(){const e=this.panel,t=this.model.offset;let i,l;switch(e.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":l=e._top.value+5;break;case\"middle\":l=e._vcenter.value;break;case\"bottom\":l=e._bottom.value-5}switch(this.model.align){case\"left\":i=e._left.value+t;break;case\"center\":i=e._hcenter.value;break;case\"right\":i=e._right.value-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=e._left.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._right.value+5}switch(this.model.align){case\"left\":l=e._bottom.value-t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._top.value+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=e._right.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._left.value+5}switch(this.model.align){case\"left\":l=e._top.value+t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._bottom.value-t}}return[i,l]}render(){if(!this.model.visible)return void(\"css\"==this.model.render_mode&&s.undisplay(this.el));const{text:e}=this.model;if(null==e||0==e.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[t,i]=this._get_location(),l=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,e,t,i,l)}_get_size(){const{text:e}=this.model;if(null==e||0==e.length)return{width:0,height:0};{this.visuals.text.set_value(this.layer.ctx);const{width:t,ascent:i}=this.layer.ctx.measureText(e);return{width:t,height:i*this.visuals.text.text_line_height.value()+10}}}}i.TitleView=_,_.__name__=\"TitleView\";class c extends a.TextAnnotation{constructor(e){super(e)}static init_Title(){this.prototype.default_view=_,this.mixins([[\"border_\",o.Line],[\"background_\",o.Fill]]),this.define({text:[r.String],text_font:[r.Font,\"helvetica\"],text_font_size:[r.StringSpec,\"13px\"],text_font_style:[r.FontStyle,\"bold\"],text_color:[r.ColorSpec,\"#444444\"],text_alpha:[r.NumberSpec,1],text_line_height:[r.Number,1],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[r.Number,0]}),this.override({background_fill_color:null,border_line_color:null}),this.internal({text_align:[r.TextAlign,\"left\"],text_baseline:[r.TextBaseline,\"bottom\"]})}}i.Title=c,c.__name__=\"Title\",c.init_Title()},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(31),s=e(99),a=e(68),n=o.__importStar(e(18));class r extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){this._toolbar_view=await s.build_view(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push(e=>this._toolbar_view.set_visibility(e))}remove(){this._toolbar_view.remove(),super.remove()}render(){super.render(),this.model.visible?(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",a.position(this.el,this.panel.bbox),this._toolbar_view.render(),a.empty(this.el),this.el.appendChild(this._toolbar_view.el),a.display(this.el)):a.undisplay(this.el)}_get_size(){const{tools:e,logo:i}=this.model.toolbar;return{width:30*e.length+(null!=i?25:0),height:30}}}t.ToolbarPanelView=r,r.__name__=\"ToolbarPanelView\";class _ extends l.Annotation{constructor(e){super(e)}static init_ToolbarPanel(){this.prototype.default_view=r,this.define({toolbar:[n.Instance]})}}t.ToolbarPanel=_,_.__name__=\"ToolbarPanel\",_.init_ToolbarPanel()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(31),o=t(68),a=i.__importStar(t(18)),h=t(145),n=t(146),r=i.__importDefault(t(147));function c(t,e,s,i,l){switch(t){case\"horizontal\":return e<i?\"right\":\"left\";case\"vertical\":return s<l?\"below\":\"above\";default:return t}}s.compute_side=c;class d extends l.AnnotationView{initialize(){super.initialize(),this.plot_view.canvas_view.add_overlay(this.el),o.undisplay(this.el)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>this._draw_tips())}styles(){return[...super.styles(),r.default]}css_classes(){return super.css_classes().concat(h.bk_tooltip)}render(){this.model.visible&&this._draw_tips()}_draw_tips(){const{data:t}=this.model;if(o.empty(this.el),o.undisplay(this.el),this.model.custom?this.el.classList.add(h.bk_tooltip_custom):this.el.classList.remove(h.bk_tooltip_custom),0==t.length)return;const{frame:e}=this.plot_view;for(const[s,i,l]of t){if(this.model.inner_only&&!e.bbox.contains(s,i))continue;const t=o.div({},l);this.el.appendChild(t)}const[s,i]=t[t.length-1],l=c(this.model.attachment,s,i,e._hcenter.value,e._vcenter.value);this.el.classList.remove(n.bk_right),this.el.classList.remove(n.bk_left),this.el.classList.remove(n.bk_above),this.el.classList.remove(n.bk_below);let a;o.display(this.el);let r=0,d=0;switch(l){case\"right\":this.el.classList.add(n.bk_left),r=s+(this.el.offsetWidth-this.el.clientWidth)+10,a=i-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(n.bk_right),d=this.plot_view.layout.bbox.width-s+10,a=i-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(n.bk_above),a=i+(this.el.offsetHeight-this.el.clientHeight)+10,r=Math.round(s-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(n.bk_below),a=i-this.el.offsetHeight-10,r=Math.round(s-this.el.offsetWidth/2)}this.model.show_arrow&&this.el.classList.add(h.bk_tooltip_arrow),this.el.childNodes.length>0?(this.el.style.top=a+\"px\",this.el.style.left=r?r+\"px\":\"auto\",this.el.style.right=d?d+\"px\":\"auto\"):o.undisplay(this.el)}}s.TooltipView=d,d.__name__=\"TooltipView\";class _ extends l.Annotation{constructor(t){super(t)}static init_Tooltip(){this.prototype.default_view=d,this.define({attachment:[a.TooltipAttachment,\"horizontal\"],inner_only:[a.Boolean,!0],show_arrow:[a.Boolean,!0]}),this.override({level:\"overlay\"}),this.internal({data:[a.Any,[]],custom:[a.Any]})}clear(){this.data=[]}add(t,e,s){this.data=this.data.concat([[t,e,s]])}}s.Tooltip=_,_.__name__=\"Tooltip\",_.init_Tooltip()},\n",
+       "      function _(o,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tooltip=\"bk-tooltip\",l.bk_tooltip_arrow=\"bk-tooltip-arrow\",l.bk_tooltip_custom=\"bk-tooltip-custom\",l.bk_tooltip_row_label=\"bk-tooltip-row-label\",l.bk_tooltip_row_value=\"bk-tooltip-row-value\",l.bk_tooltip_color_block=\"bk-tooltip-color-block\"},\n",
+       "      function _(e,b,k){Object.defineProperty(k,\"__esModule\",{value:!0}),k.bk_active=\"bk-active\",k.bk_inline=\"bk-inline\",k.bk_left=\"bk-left\",k.bk_right=\"bk-right\",k.bk_above=\"bk-above\",k.bk_below=\"bk-below\",k.bk_up=\"bk-up\",k.bk_down=\"bk-down\",k.bk_side=function(e){switch(e){case\"above\":return k.bk_above;case\"below\":return k.bk_below;case\"left\":return k.bk_left;case\"right\":return k.bk_right}}},\n",
+       "      function _(o,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root {\\n  /* Same border color used everywhere */\\n  /* Gray of icons */\\n}\\n.bk-root .bk-tooltip {\\n  font-weight: 300;\\n  font-size: 12px;\\n  position: absolute;\\n  padding: 5px;\\n  border: 1px solid #e5e5e5;\\n  color: #2f2f2f;\\n  background-color: white;\\n  pointer-events: none;\\n  opacity: 0.95;\\n  z-index: 100;\\n}\\n.bk-root .bk-tooltip > div:not(:first-child) {\\n  /* gives space when multiple elements are being hovered over */\\n  margin-top: 5px;\\n  border-top: #e5e5e5 1px dashed;\\n}\\n.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-left::before {\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right::after {\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-above::before {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  top: -10px;\\n  border-bottom-width: 10px;\\n  border-bottom-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-below::after {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  bottom: -10px;\\n  border-top-width: 10px;\\n  border-top-color: #909599;\\n}\\n.bk-root .bk-tooltip-row-label {\\n  text-align: right;\\n  color: #26aae1;\\n  /* blue from toolbar highlighting */\\n}\\n.bk-root .bk-tooltip-row-value {\\n  color: default;\\n  /* seems to be necessary for notebook */\\n}\\n.bk-root .bk-tooltip-color-block {\\n  width: 12px;\\n  height: 12px;\\n  margin-left: 5px;\\n  margin-right: 5px;\\n  outline: #dddddd solid 1px;\\n  display: inline-block;\\n}\\n'},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(31),o=e(76),a=e(75),n=e(23),h=i.__importStar(e(18));class _ extends r.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],r=\"height\"==t?i:s,o=\"height\"==t?s:i,a=\"height\"==t?e.yview:e.xview,n=\"height\"==t?e.xview:e.yview;let h,_,l;h=\"data\"==this.model.properties.lower.units?r.v_compute(this._lower):a.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?r.v_compute(this._upper):a.v_compute(this._upper),l=\"data\"==this.model.properties.base.units?o.v_compute(this._base):n.v_compute(this._base);const[d,p]=\"height\"==t?[1,0]:[0,1],c=[h,l],u=[_,l];this._lower_sx=c[d],this._lower_sy=c[p],this._upper_sx=u[d],this._upper_sy=u[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;t<s;t++)this.visuals.line.set_vectorize(e,t),e.beginPath(),e.moveTo(this._lower_sx[t],this._lower_sy[t]),e.lineTo(this._upper_sx[t],this._upper_sy[t]),e.stroke();const t=\"height\"==this.model.dimension?0:Math.PI/2;if(null!=this.model.lower_head)for(let s=0,i=this._lower_sx.length;s<i;s++)e.save(),e.translate(this._lower_sx[s],this._lower_sy[s]),e.rotate(t+Math.PI),this.model.lower_head.render(e,s),e.restore();if(null!=this.model.upper_head)for(let s=0,i=this._upper_sx.length;s<i;s++)e.save(),e.translate(this._upper_sx[s],this._upper_sy[s]),e.rotate(t),this.model.upper_head.render(e,s),e.restore()}}s.WhiskerView=_,_.__name__=\"WhiskerView\";class l extends r.Annotation{constructor(e){super(e)}static init_Whisker(){this.prototype.default_view=_,this.mixins(n.LineVector),this.define({lower:[h.DistanceSpec],lower_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],upper:[h.DistanceSpec],upper_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],base:[h.DistanceSpec],dimension:[h.Dimension,\"height\"],source:[h.Instance,()=>new o.ColumnDataSource],x_range_name:[h.String,\"default\"],y_range_name:[h.String,\"default\"]}),this.override({level:\"underlay\"})}}s.Whisker=l,l.__name__=\"Whisker\",l.init_Whisker()},\n",
+       "      function _(i,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});var r=i(150);e.Axis=r.Axis;var s=i(152);e.CategoricalAxis=s.CategoricalAxis;var x=i(155);e.ContinuousAxis=x.ContinuousAxis;var A=i(156);e.DatetimeAxis=A.DatetimeAxis;var o=i(157);e.LinearAxis=o.LinearAxis;var t=i(170);e.LogAxis=t.LogAxis;var n=i(173);e.MercatorAxis=n.MercatorAxis},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(151),l=s.__importStar(e(23)),n=s.__importStar(e(18)),o=e(9),r=e(8),_=e(90),{abs:h,min:c,max:m}=Math;class d extends a.GuideRendererView{constructor(){super(...arguments),this.rotate=!0}get panel(){return this.layout}render(){if(!this.model.visible)return;const e={tick:this._tick_extent(),tick_label:this._tick_label_extents(),axis_label:this._axis_label_extent()},t=this.tick_coords,i=this.layer.ctx;i.save(),this._draw_rule(i,e),this._draw_major_ticks(i,e,t),this._draw_minor_ticks(i,e,t),this._draw_major_labels(i,e,t),this._draw_axis_label(i,e,t),null!=this._render&&this._render(i,e,t),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint());const e=this.model.properties;this.on_change(e.visible,()=>this.plot_view.request_layout())}get_size(){if(this.model.visible&&null==this.model.fixed_location){const e=this._get_size();return{width:0,height:Math.round(e)}}return{width:0,height:0}}_get_size(){return this._tick_extent()+this._tick_label_extent()+this._axis_label_extent()}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(e,t){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,l]=this.plot_view.map_to_screen(i,s,this.model.x_range_name,this.model.y_range_name),[n,o]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(e),e.beginPath(),e.moveTo(Math.round(a[0]+n*r),Math.round(l[0]+o*_));for(let t=1;t<a.length;t++){const i=Math.round(a[t]+n*r),s=Math.round(l[t]+o*_);e.lineTo(i,s)}e.stroke()}_draw_major_ticks(e,t,i){const s=this.model.major_tick_in,a=this.model.major_tick_out,l=this.visuals.major_tick_line;this._draw_ticks(e,i.major,s,a,l)}_draw_minor_ticks(e,t,i){const s=this.model.minor_tick_in,a=this.model.minor_tick_out,l=this.visuals.minor_tick_line;this._draw_ticks(e,i.minor,s,a,l)}_draw_major_labels(e,t,i){const s=i.major,a=this.compute_labels(s[this.dimension]),l=this.model.major_label_orientation,n=t.tick+this.model.major_label_standoff,o=this.visuals.major_label_text;this._draw_oriented_labels(e,a,s,l,this.panel.side,n,o)}_draw_axis_label(e,t,i){if(null==this.model.axis_label||0==this.model.axis_label.length||null!=this.model.fixed_location)return;let s,a;switch(this.panel.side){case\"above\":s=this.panel._hcenter.value,a=this.panel._bottom.value;break;case\"below\":s=this.panel._hcenter.value,a=this.panel._top.value;break;case\"left\":s=this.panel._right.value,a=this.panel._vcenter.value;break;case\"right\":s=this.panel._left.value,a=this.panel._vcenter.value;break;default:throw new Error(\"unknown side: \"+this.panel.side)}const l=[[s],[a]],n=t.tick+o.sum(t.tick_label)+this.model.axis_label_standoff,r=this.visuals.axis_label_text;this._draw_oriented_labels(e,[this.model.axis_label],l,\"parallel\",this.panel.side,n,r,\"screen\")}_draw_ticks(e,t,i,s,a){if(!a.doit)return;const[l,n]=t,[o,r]=this.plot_view.map_to_screen(l,n,this.model.x_range_name,this.model.y_range_name),[_,h]=this.normals,[c,m]=this.offsets,[d,u]=[_*(c-i),h*(m-i)],[b,x]=[_*(c+s),h*(m+s)];a.set_value(e);for(let t=0;t<o.length;t++){const i=Math.round(o[t]+b),s=Math.round(r[t]+x),a=Math.round(o[t]+d),l=Math.round(r[t]+u);e.beginPath(),e.moveTo(i,s),e.lineTo(a,l),e.stroke()}}_draw_oriented_labels(e,t,i,s,a,l,n,o=\"data\"){if(!n.doit||0==t.length)return;let _,h,c,m;if(\"screen\"==o)[_,h]=i,[c,m]=[0,0];else{const[e,t]=i;[_,h]=this.plot_view.map_to_screen(e,t,this.model.x_range_name,this.model.y_range_name),[c,m]=this.offsets}const[d,u]=this.normals,b=d*(c+l),x=u*(m+l);let f;n.set_value(e),this.panel.apply_label_text_heuristics(e,s),f=r.isString(s)?this.panel.get_label_angle_heuristic(s):-s;for(let i=0;i<_.length;i++){const s=Math.round(_[i]+b),a=Math.round(h[i]+x);e.translate(s,a),e.rotate(f),e.fillText(t[i],0,0),e.rotate(-f),e.translate(-s,-a)}}_axis_label_extent(){if(null==this.model.axis_label||\"\"==this.model.axis_label)return 0;const e=this.model.axis_label_standoff,t=this.visuals.axis_label_text;return this._oriented_labels_extent([this.model.axis_label],\"parallel\",this.panel.side,e,t)}_tick_extent(){return this.model.major_tick_out}_tick_label_extent(){return o.sum(this._tick_label_extents())}_tick_label_extents(){const e=this.tick_coords.major,t=this.compute_labels(e[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(t,i,this.panel.side,s,a)]}_oriented_labels_extent(e,t,i,s,a){if(0==e.length)return 0;const l=this.layer.ctx;let n,o;a.set_value(l),r.isString(t)?(n=1,o=this.panel.get_label_angle_heuristic(t)):(n=2,o=-t),o=Math.abs(o);const _=Math.cos(o),h=Math.sin(o);let c=0;for(let t=0;t<e.length;t++){const s=1.1*l.measureText(e[t]).width,a=.9*l.measureText(e[t]).ascent;let o;o=\"above\"==i||\"below\"==i?s*h+a/n*_:s*_+a/n*h,o>c&&(c=o)}return c>0&&(c+=s),c}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(e){const t=this.model.formatter.doFormat(e,this);for(let i=0;i<e.length;i++)e[i]in this.model.major_label_overrides&&(t[i]=this.model.major_label_overrides[e[i]]);return t}get offsets(){if(null!=this.model.fixed_location)return[0,0];const{frame:e}=this.plot_view;let[t,i]=[0,0];switch(this.panel.side){case\"below\":i=h(this.panel._top.value-e._bottom.value);break;case\"above\":i=h(this.panel._bottom.value-e._top.value);break;case\"right\":t=h(this.panel._left.value-e._right.value);break;case\"left\":t=h(this.panel._right.value-e._left.value)}return[t,i]}get ranges(){const e=this.dimension,t=(e+1)%2,{frame:i}=this.plot_view,s=[i.x_ranges[this.model.x_range_name],i.y_ranges[this.model.y_range_name]];return[s[e],s[t]]}get computed_bounds(){const[e]=this.ranges,t=this.model.bounds,i=[e.min,e.max];if(\"auto\"==t)return[e.min,e.max];if(r.isArray(t)){let e,s;const[a,l]=t,[n,o]=i;return h(a-l)>h(n-o)?(e=m(c(a,l),n),s=c(m(a,l),o)):(e=c(a,l),s=m(a,l)),[e,s]}throw new Error(`user bounds '${t}' not understood`)}get rule_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=[new Array(2),new Array(2)];return l[e][0]=Math.max(s,i.min),l[e][1]=Math.min(a,i.max),l[e][0]>l[e][1]&&(l[e][0]=l[e][1]=NaN),l[t][0]=this.loc,l[t][1]=this.loc,l}get tick_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=this.model.ticker.get_ticks(s,a,i,this.loc,{}),n=l.major,o=l.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;i<n.length;i++)n[i]<h||n[i]>c||(r[e].push(n[i]),r[t].push(this.loc));for(let i=0;i<o.length;i++)o[i]<h||o[i]>c||(_[e].push(o[i]),_[t].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:e}=this.model;if(null!=e){if(r.isNumber(e))return e;const[,t]=this.ranges;if(t instanceof _.FactorRange)return t.synthetic(e);throw new Error(\"unexpected\")}const[,t]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return t.start;case\"right\":case\"above\":return t.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}}i.AxisView=d,d.__name__=\"AxisView\";class u extends a.GuideRenderer{constructor(e){super(e)}static init_Axis(){this.prototype.default_view=d,this.mixins([[\"axis_\",l.Line],[\"major_tick_\",l.Line],[\"minor_tick_\",l.Line],[\"major_label_\",l.Text],[\"axis_label_\",l.Text]]),this.define({bounds:[n.Any,\"auto\"],ticker:[n.Instance],formatter:[n.Instance],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"],axis_label:[n.String,\"\"],axis_label_standoff:[n.Int,5],major_label_standoff:[n.Int,5],major_label_orientation:[n.Any,\"horizontal\"],major_label_overrides:[n.Any,{}],major_tick_in:[n.Number,2],major_tick_out:[n.Number,6],minor_tick_in:[n.Number,0],minor_tick_out:[n.Number,4],fixed_location:[n.Any,null]}),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})}}i.Axis=u,u.__name__=\"Axis\",u.init_Axis()},\n",
+       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});const i=e(65);class n extends i.RendererView{}d.GuideRendererView=n,n.__name__=\"GuideRendererView\";class t extends i.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"guide\"})}}d.GuideRenderer=t,t.__name__=\"GuideRenderer\",t.init_GuideRenderer()},\n",
+       "      function _(t,s,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),i=t(150),r=t(153),a=t(154),l=e.__importStar(t(23)),_=e.__importStar(t(18));class n extends i.AxisView{_render(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;t<e.tops.length-1;t++){let s,o;for(let i=n;i<e.factors.length;i++)if(e.factors[i][0]==e.tops[t+1]){[s,o]=[e.factors[i-1],e.factors[i]],n=i;break}const h=(e.synthetic(s)+e.synthetic(o))/2;h>i&&h<r&&(_[a].push(h),_[l].push(this.loc))}const h=this._tick_label_extent();this._draw_ticks(t,_,-3,h-6,this.visuals.separator_line)}_draw_major_labels(t,s,o){const e=this._get_factor_info();let i=s.tick+this.model.major_label_standoff;for(let o=0;o<e.length;o++){const[r,a,l,_]=e[o];this._draw_oriented_labels(t,r,a,l,this.panel.side,i,_),i+=s.tick_label[o]}}_tick_label_extents(){const t=this._get_factor_info(),s=[];for(const[o,,e,i]of t){const t=this._oriented_labels_extent(o,e,this.panel.side,this.model.major_label_standoff,i);s.push(t)}return s}_get_factor_info(){const[t]=this.ranges,[s,o]=this.computed_bounds,e=this.loc,i=this.model.ticker.get_ticks(s,o,t,e,{}),r=this.tick_coords,a=[];if(1==t.levels){const t=i.major,s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=i.major.map(t=>t[1]),s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=i.major.map(t=>t[2]),s=this.model.formatter.doFormat(t,this),o=i.mids.map(t=>t[1]);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([o,r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc,{}),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map(t=>this.loc),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map(t=>this.loc)),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map(t=>this.loc)),a}}o.CategoricalAxisView=n,n.__name__=\"CategoricalAxisView\";class h extends i.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=n,this.mixins([[\"separator_\",l.Line],[\"group_\",l.Text],[\"subgroup_\",l.Text]]),this.define({group_label_orientation:[_.Any,\"parallel\"],subgroup_label_orientation:[_.Any,\"parallel\"]}),this.override({ticker:()=>new r.CategoricalTicker,formatter:()=>new a.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})}}o.CategoricalAxis=h,h.__name__=\"CategoricalAxis\",h.init_CategoricalAxis()},\n",
+       "      function _(t,c,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(112);class s extends o.Ticker{constructor(t){super(t)}get_ticks(t,c,e,o,s){return{major:this._collect(e.factors,e,t,c),minor:[],tops:this._collect(e.tops||[],e,t,c),mids:this._collect(e.mids||[],e,t,c)}}_collect(t,c,e,o){const s=[];for(const r of t){const t=c.synthetic(r);t>e&&t<o&&s.push(r)}return s}}e.CategoricalTicker=s,s.__name__=\"CategoricalTicker\"},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(114),c=e(9);class a extends o.TickFormatter{constructor(e){super(e)}doFormat(e,t){return c.copy(e)}}r.CategoricalTickFormatter=a,a.__name__=\"CategoricalTickFormatter\"},\n",
+       "      function _(s,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=s(150);class t extends o.Axis{constructor(s){super(s)}}n.ContinuousAxis=t,t.__name__=\"ContinuousAxis\"},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(157),a=e(158),r=e(163);class n extends s.LinearAxisView{}i.DatetimeAxisView=n,n.__name__=\"DatetimeAxisView\";class _ extends s.LinearAxis{constructor(e){super(e)}static init_DatetimeAxis(){this.prototype.default_view=n,this.override({ticker:()=>new r.DatetimeTicker,formatter:()=>new a.DatetimeTickFormatter})}}i.DatetimeAxis=_,_.__name__=\"DatetimeAxis\",_.init_DatetimeAxis()},\n",
+       "      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(150),n=e(155),r=e(113),a=e(109);class _ extends t.AxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class c extends n.ContinuousAxis{constructor(e){super(e)}static init_LinearAxis(){this.prototype.default_view=_,this.override({ticker:()=>new a.BasicTicker,formatter:()=>new r.BasicTickFormatter})}}s.LinearAxis=c,c.__name__=\"LinearAxis\",c.init_LinearAxis()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),i=r.__importDefault(t(159)),n=t(114),o=t(72),a=r.__importStar(t(18)),c=t(160),m=t(9),u=t(8);function h(t){return i.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map(t=>parseInt(t,10))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:i.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends n.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static init_DatetimeTickFormatter(){this.define({microseconds:[a.Array,[\"%fus\"]],milliseconds:[a.Array,[\"%3Nms\",\"%S.%3Ns\"]],seconds:[a.Array,[\"%Ss\"]],minsec:[a.Array,[\":%M:%S\"]],minutes:[a.Array,[\":%M\",\"%Mm\"]],hourmin:[a.Array,[\"%H:%M\"]],hours:[a.Array,[\"%Hh\",\"%H:%M\"]],days:[a.Array,[\"%m/%d\",\"%a%d\"]],months:[a.Array,[\"%m/%Y\",\"%b %Y\"]],years:[a.Array,[\"%Y\"]]})}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const t=+i.default(new Date),s=function(s){const e=s.map(s=>d(t,s).length),r=m.sort_by(m.zip(e,s),([t])=>t);return m.unzip(r)};this._width_formats={microseconds:s(this.microseconds),milliseconds:s(this.milliseconds),seconds:s(this.seconds),minsec:s(this.minsec),minutes:s(this.minutes),hourmin:s(this.hourmin),hours:s(this.hours),days:s(this.days),months:s(this.months),years:s(this.years)}}_get_resolution_str(t,s){const e=1.1*t;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return s>=60?\"minsec\":\"seconds\";case!(e<3600):return s>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(t,s){if(0==t.length)return[];const e=Math.abs(t[t.length-1]-t[0])/1e3,r=e/(t.length-1),i=this._get_resolution_str(r,e),[,[n]]=this._width_formats[i],a=[],c=l.indexOf(i),m={};for(const t of l)m[t]=0;m.seconds=5,m.minsec=4,m.minutes=4,m.hourmin=3,m.hours=3;for(const s of t){let t,e;try{e=h(s),t=d(s,n)}catch(t){o.logger.warn(\"unable to format tick for timestamp value \"+s),o.logger.warn(\" - \"+t),a.push(\"ERR\");continue}let r=!1,u=c;for(;0==e[m[l[u]]];){let n;if(u+=1,u==l.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!r){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){n=this._width_formats[l[c-1]][1][0],t=d(s,n);break}r=!0}n=this._width_formats[l[u]][1][0],t=d(s,n)}if(this.strip_leading_zeros){let s=t.replace(/^0+/g,\"\");s!=t&&isNaN(parseInt(s))&&(s=\"0\"+s),a.push(s)}else a.push(t)}return a}}e.DatetimeTickFormatter=_,_.__name__=\"DatetimeTickFormatter\",_.init_DatetimeTickFormatter()},\n",
+       "      function _(e,t,n){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new Date(Date.UTC(n,t.month,Math.abs(o++)))}while(t.day[0]<7&&r.getUTCDay()!=t.day[0]);return(r={clock:t.clock,sort:r.getTime(),rule:t,save:6e4*t.save,offset:e.offset})[r.clock]=r.sort+6e4*t.time,r.posix?r.wallclock=r[r.clock]+(e.offset+t.saved):r.posix=r[r.clock]-(e.offset+t.saved),r}function t(t,n,r){var o,a,u,i,l,s,c,f=t[t.zone],h=[],T=new Date(r).getUTCFullYear(),g=1;for(o=1,a=f.length;o<a&&!(f[o][n]<=r);o++);if((u=f[o]).rules){for(s=t[u.rules],c=T+1;c>=T-g;--c)for(o=0,a=s.length;o<a;o++)s[o].from<=c&&c<=s[o].to?h.push(e(u,s[o],c)):s[o].to<c&&1==g&&(g=c-s[o].to);for(h.sort((function(e,t){return e.sort-t.sort})),o=0,a=h.length;o<a;o++)r>=h[o][n]&&h[o][h[o].clock]>u[h[o].clock]&&(i=h[o])}return i&&((l=/^(.*)\\/(.*)$/.exec(u.format))?i.abbrev=l[i.save?2:1]:i.abbrev=u.format.replace(/%s/,i.rule.letter)),i||u}function n(e,n){return\"UTC\"==e.zone?n:(e.entry=t(e,\"posix\",n),n+e.entry.offset+e.entry.save)}function r(e,n){return\"UTC\"==e.zone?n:(e.entry=r=t(e,\"wallclock\",n),0<(o=n-r.wallclock)&&o<r.save?null:n-r.offset-r.save);var r,o}function o(e,t,o){var a,i=+(o[1]+1),s=o[2]*i,c=u.indexOf(o[3].toLowerCase());if(c>9)t+=s*l[c-10];else{if(a=new Date(n(e,t)),c<7)for(;s;)a.setUTCDate(a.getUTCDate()+i),a.getUTCDay()==c&&(s-=i);else 7==c?a.setUTCFullYear(a.getUTCFullYear()+s):8==c?a.setUTCMonth(a.getUTCMonth()+s):a.setUTCDate(a.getUTCDate()+s);null==(t=r(e,a.getTime()))&&(t=r(e,a.getTime()+864e5*i)-864e5*i)}return t}var a={clock:function(){return+new Date},zone:\"UTC\",entry:{abbrev:\"UTC\",offset:0,save:0},UTC:1,z:function(e,t,n,r){var 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e.getUTCFullYear()},y:function(e){return e.getUTCFullYear()%100},H:function(e){return e.getUTCHours()},M:function(e){return e.getUTCMinutes()},S:function(e){return e.getUTCSeconds()},e:function(e){return e.getUTCDate()},d:function(e){return e.getUTCDate()},u:function(e){return e.getUTCDay()||7},w:function(e){return e.getUTCDay()},l:function(e){return e.getUTCHours()%12||12},I:function(e){return e.getUTCHours()%12||12},k:function(e){return e.getUTCHours()},Z:function(e){return this.entry.abbrev},a:function(e){return this[this.locale].day.abbrev[e.getUTCDay()]},A:function(e){return this[this.locale].day.full[e.getUTCDay()]},h:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},b:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},B:function(e){return this[this.locale].month.full[e.getUTCMonth()]},P:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)].toLowerCase()},p:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)]},R:function(e,t){return this.convert([t,\"%H:%M\"])},T:function(e,t){return this.convert([t,\"%H:%M:%S\"])},D:function(e,t){return this.convert([t,\"%m/%d/%y\"])},F:function(e,t){return this.convert([t,\"%Y-%m-%d\"])},x:function(e,t){return this.convert([t,this[this.locale].date])},r:function(e,t){return this.convert([t,this[this.locale].time12||\"%I:%M:%S\"])},X:function(e,t){return this.convert([t,this[this.locale].time24])},c:function(e,t){return this.convert([t,this[this.locale].dateTime])},convert:function(e){if(!e.length)return\"1.0.23\";var t,a,u,l,s,c=Object.create(this),f=[];for(t=0;t<e.length;t++)if(l=e[t],Array.isArray(l))t||isNaN(l[1])?l.splice.apply(e,[t--,1].concat(l)):s=l;else if(isNaN(l)){if(\"string\"==(u=typeof 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+       "      function _(r,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=r(1),i=t.__importStar(r(161)),u=r(162),a=t.__importDefault(r(159)),f=r(24),o=r(8);function l(r,...n){return u.sprintf(r,...n)}function s(r,n,e){if(o.isNumber(r)){return l((()=>{switch(!1){case Math.floor(r)!=r:return\"%d\";case!(Math.abs(r)>.1&&Math.abs(r)<1e3):return\"%0.3f\";default:return\"%0.3e\"}})(),r)}return\"\"+r}function c(r,n,t){if(null==n)return s;if(null!=t&&r in t){const n=t[r];if(o.isString(n)){if(n in e.DEFAULT_FORMATTERS)return e.DEFAULT_FORMATTERS[n];throw new Error(`Unknown tooltip field formatter type '${n}'`)}return function(r,e,t){return n.format(r,e,t)}}return e.DEFAULT_FORMATTERS.numeral}function m(r,n,e,t){if(\"$\"==r[0]){return function(r,n){if(r in n)return n[r];throw new Error(`Unknown special variable '$${r}'`)}(r.substring(1),t)}return function(r,n,e){const t=n.get_column(r);if(null==t)return null;if(o.isNumber(e))return t[e];const i=t[e.index];if(o.isTypedArray(i)||o.isArray(i)){if(o.isArray(i[0])){return i[e.dim2][e.dim1]}return i[e.flat_index]}return i}(r.substring(1).replace(/[{}]/g,\"\"),n,e)}e.DEFAULT_FORMATTERS={numeral:(r,n,e)=>i.format(r,n),datetime:(r,n,e)=>a.default(r,n),printf:(r,n,e)=>l(n,r)},e.sprintf=l,e.basic_formatter=s,e.get_formatter=c,e.get_value=m,e.replace_placeholders=function(r,n,e,t,i={}){return r=(r=r.replace(/@\\$name/g,r=>`@{${i.name}}`)).replace(/((?:\\$\\w+)|(?:@\\w+)|(?:@{(?:[^{}]+)}))(?:{([^{}]+)})?/g,(r,u,a)=>{const o=m(u,n,e,i);if(null==o)return\"\"+f.escape(\"???\");if(\"safe\"==a)return\"\"+o;const l=c(u,a,t);return\"\"+f.escape(l(o,a,i))})}},\n",
+       "      function _(e,n,t){\n",
+       "      /*!\n",
+       "           * numbro.js\n",
+       "           * version : 1.6.2\n",
+       "           * author : Företagsplatsen AB\n",
+       "           * license : MIT\n",
+       "           * http://www.foretagsplatsen.se\n",
+       "           */\n",
+       "      var r,i={},a=i,o=\"en-US\",l=null,u=\"0,0\";void 0!==n&&n.exports;function c(e){this._value=e}function s(e){var n,t=\"\";for(n=0;n<e;n++)t+=\"0\";return t}function f(e,n,t,r){var i,a,o=Math.pow(10,n);return a=e.toFixed(0).search(\"e\")>-1?function(e,n){var t,r,i,a;return t=(a=e.toString()).split(\"e\")[0],i=a.split(\"e\")[1],a=t.split(\".\")[0]+(r=t.split(\".\")[1]||\"\")+s(i-r.length),n>0&&(a+=\".\"+s(n)),a}(e,n):(t(e*o)/o).toFixed(n),r&&(i=new RegExp(\"0{1,\"+r+\"}$\"),a=a.replace(i,\"\")),a}function d(e,n,t){return n.indexOf(\"$\")>-1?function(e,n,t){var r,a,l=n,u=l.indexOf(\"$\"),c=l.indexOf(\"(\"),s=l.indexOf(\"+\"),f=l.indexOf(\"-\"),d=\"\",p=\"\";-1===l.indexOf(\"$\")?\"infix\"===i[o].currency.position?(p=i[o].currency.symbol,i[o].currency.spaceSeparated&&(p=\" \"+p+\" \")):i[o].currency.spaceSeparated&&(d=\" \"):l.indexOf(\" $\")>-1?(d=\" \",l=l.replace(\" $\",\"\")):l.indexOf(\"$ \")>-1?(d=\" \",l=l.replace(\"$ 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Array(v-x.length+1).join(\"0\")+x),y>-1&&(x=x.toString().replace(/(\\d)(?=(\\d{3})+(?!\\d))/g,\"$1\"+i[o].delimiters.thousands)),0===n.indexOf(\".\")&&(x=\"\"),b+(n.indexOf(\"(\")<n.indexOf(\"-\")?(B&&R?\"(\":\"\")+(P&&R||!B&&R?\"-\":\"\"):(P&&R||!B&&R?\"-\":\"\")+(B&&R?\"(\":\"\"))+(!R&&E&&0!==e?\"+\":\"\")+x+I+(L||\"\")+(k&&!r?k:\"\")+(C||\"\")+(B&&R?\")\":\"\")+w}function p(e,n){i[e]=n}function m(e){o=e;var n=i[e].defaults;n&&n.format&&r.defaultFormat(n.format),n&&n.currencyFormat&&r.defaultCurrencyFormat(n.currencyFormat)}(r=function(e){return r.isNumbro(e)?e=e.value():0===e||void 0===e?e=0:Number(e)||(e=r.fn.unformat(e)),new c(Number(e))}).version=\"1.6.2\",r.isNumbro=function(e){return e instanceof c},r.setLanguage=function(e,n){console.warn(\"`setLanguage` is deprecated since version 1.6.0. 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Use `cultureData` instead\"),!e)return a[o];if(!a[e])throw new Error(\"Unknown language : \"+e);return a[e]},r.cultureData=function(e){if(!e)return i[o];if(!i[e])throw new Error(\"Unknown culture : \"+e);return i[e]},r.culture(\"en-US\",{delimiters:{thousands:\",\",decimal:\".\"},abbreviations:{thousand:\"k\",million:\"m\",billion:\"b\",trillion:\"t\"},ordinal:function(e){var n=e%10;return 1==~~(e%100/10)?\"th\":1===n?\"st\":2===n?\"nd\":3===n?\"rd\":\"th\"},currency:{symbol:\"$\",position:\"prefix\"},defaults:{currencyFormat:\",0000 a\"},formats:{fourDigits:\"0000 a\",fullWithTwoDecimals:\"$ ,0.00\",fullWithTwoDecimalsNoCurrency:\",0.00\"}}),r.languages=function(){return console.warn(\"`languages` is deprecated since version 1.6.0. Use `cultures` instead\"),a},r.cultures=function(){return i},r.zeroFormat=function(e){l=\"string\"==typeof e?e:null},r.defaultFormat=function(e){u=\"string\"==typeof e?e:\"0.0\"},r.defaultCurrencyFormat=function(e){\"string\"==typeof e?e:\"0$\"},r.validate=function(e,n){var t,i,a,o,l,u,c,s;if(\"string\"!=typeof e&&(e+=\"\",console.warn&&console.warn(\"Numbro.js: Value is not string. It has been co-erced to: \",e)),(e=e.trim()).match(/^\\d+$/))return!0;if(\"\"===e)return!1;try{c=r.cultureData(n)}catch(e){c=r.cultureData(r.culture())}return a=c.currency.symbol,l=c.abbreviations,t=c.delimiters.decimal,i=\".\"===c.delimiters.thousands?\"\\\\.\":c.delimiters.thousands,(null===(s=e.match(/^[^\\d]+/))||(e=e.substr(1),s[0]===a))&&((null===(s=e.match(/[^\\d]+$/))||(e=e.slice(0,-1),s[0]===l.thousand||s[0]===l.million||s[0]===l.billion||s[0]===l.trillion))&&(u=new RegExp(i+\"{2}\"),!e.match(/[^\\d.,]/g)&&(!((o=e.split(t)).length>2)&&(o.length<2?!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u):1===o[0].length?!!o[0].match(/^\\d+$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/):!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/)))))},n.exports={format:function(e,n,t,i){return null!=t&&t!==r.culture()&&r.setCulture(t),d(Number(e),null!=n?n:u,null==i?Math.round:i)}}},\n",
+       "      function _(e,n,t){!function(){\"use strict\";var e={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function n(e){return i(a(e),arguments)}function r(e,t){return n.apply(null,[e].concat(t||[]))}function i(t,r){var i,s,a,o,p,c,l,u,f,d=1,g=t.length,y=\"\";for(s=0;s<g;s++)if(\"string\"==typeof t[s])y+=t[s];else if(\"object\"==typeof t[s]){if((o=t[s]).keys)for(i=r[d],a=0;a<o.keys.length;a++){if(null==i)throw new Error(n('[sprintf] Cannot access property \"%s\" of undefined value \"%s\"',o.keys[a],o.keys[a-1]));i=i[o.keys[a]]}else i=o.param_no?r[o.param_no]:r[d++];if(e.not_type.test(o.type)&&e.not_primitive.test(o.type)&&i instanceof Function&&(i=i()),e.numeric_arg.test(o.type)&&\"number\"!=typeof i&&isNaN(i))throw new TypeError(n(\"[sprintf] expecting number but found %T\",i));switch(e.number.test(o.type)&&(u=i>=0),o.type){case\"b\":i=parseInt(i,10).toString(2);break;case\"c\":i=String.fromCharCode(parseInt(i,10));break;case\"d\":case\"i\":i=parseInt(i,10);break;case\"j\":i=JSON.stringify(i,null,o.width?parseInt(o.width):0);break;case\"e\":i=o.precision?parseFloat(i).toExponential(o.precision):parseFloat(i).toExponential();break;case\"f\":i=o.precision?parseFloat(i).toFixed(o.precision):parseFloat(i);break;case\"g\":i=o.precision?String(Number(i.toPrecision(o.precision))):parseFloat(i);break;case\"o\":i=(parseInt(i,10)>>>0).toString(8);break;case\"s\":i=String(i),i=o.precision?i.substring(0,o.precision):i;break;case\"t\":i=String(!!i),i=o.precision?i.substring(0,o.precision):i;break;case\"T\":i=Object.prototype.toString.call(i).slice(8,-1).toLowerCase(),i=o.precision?i.substring(0,o.precision):i;break;case\"u\":i=parseInt(i,10)>>>0;break;case\"v\":i=i.valueOf(),i=o.precision?i.substring(0,o.precision):i;break;case\"x\":i=(parseInt(i,10)>>>0).toString(16);break;case\"X\":i=(parseInt(i,10)>>>0).toString(16).toUpperCase()}e.json.test(o.type)?y+=i:(!e.number.test(o.type)||u&&!o.sign?f=\"\":(f=u?\"+\":\"-\",i=i.toString().replace(e.sign,\"\")),c=o.pad_char?\"0\"===o.pad_char?\"0\":o.pad_char.charAt(1):\" \",l=o.width-(f+i).length,p=o.width&&l>0?c.repeat(l):\"\",y+=o.align?f+i+p:\"0\"===c?f+p+i:p+f+i)}return y}var s=Object.create(null);function a(n){if(s[n])return s[n];for(var t,r=n,i=[],a=0;r;){if(null!==(t=e.text.exec(r)))i.push(t[0]);else if(null!==(t=e.modulo.exec(r)))i.push(\"%\");else{if(null===(t=e.placeholder.exec(r)))throw new SyntaxError(\"[sprintf] unexpected placeholder\");if(t[2]){a|=1;var o=[],p=t[2],c=[];if(null===(c=e.key.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");for(o.push(c[1]);\"\"!==(p=p.substring(c[0].length));)if(null!==(c=e.key_access.exec(p)))o.push(c[1]);else{if(null===(c=e.index_access.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");o.push(c[1])}t[2]=o}else a|=2;if(3===a)throw new Error(\"[sprintf] mixing positional and named placeholders is not (yet) supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n",
+       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(9),a=e(110),s=e(164),r=e(165),c=e(168),_=e(169),m=e(167);class k extends s.CompositeTicker{constructor(e){super(e)}static init_DatetimeTicker(){this.override({num_minor_ticks:0,tickers:()=>[new a.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*m.ONE_MILLI,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:m.ONE_SECOND,max_interval:30*m.ONE_MINUTE,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:m.ONE_HOUR,max_interval:12*m.ONE_HOUR,num_minor_ticks:0}),new r.DaysTicker({days:t.range(1,32)}),new r.DaysTicker({days:t.range(1,31,3)}),new r.DaysTicker({days:[1,8,15,22]}),new r.DaysTicker({days:[1,15]}),new c.MonthsTicker({months:t.range(0,12,1)}),new c.MonthsTicker({months:t.range(0,12,2)}),new c.MonthsTicker({months:t.range(0,12,4)}),new c.MonthsTicker({months:t.range(0,12,6)}),new _.YearsTicker({})]})}}n.DatetimeTicker=k,k.__name__=\"DatetimeTicker\",k.init_DatetimeTicker()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),s=t(111),n=r.__importStar(t(18)),_=t(9);class a extends s.ContinuousTicker{constructor(t){super(t)}static init_CompositeTicker(){this.define({tickers:[n.Array,[]]})}get min_intervals(){return this.tickers.map(t=>t.get_min_interval())}get max_intervals(){return this.tickers.map(t=>t.get_max_interval())}get min_interval(){return this.min_intervals[0]}get max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const r=e-t,s=this.get_ideal_interval(t,e,i),n=[_.sorted_index(this.min_intervals,s)-1,_.sorted_index(this.max_intervals,s)],a=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map(t=>Math.abs(i-r/t));let c;if(_.is_empty(a.filter(t=>!isNaN(t))))c=this.tickers[0];else{const t=n[_.argmin(a)];c=this.tickers[t]}return c}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,r){return this.get_best_ticker(t,e,r).get_ticks_no_defaults(t,e,i,r)}}i.CompositeTicker=a,a.__name__=\"CompositeTicker\",a.init_CompositeTicker()},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=t(166),a=t(167),o=i.__importStar(t(18)),r=t(9);class _ extends s.SingleIntervalTicker{constructor(t){super(t)}static init_DaysTicker(){this.define({days:[o.Array,[]]}),this.override({num_minor_ticks:0})}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*a.ONE_DAY:this.interval=31*a.ONE_DAY}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=a.last_month_no_later_than(new Date(t)),i=a.last_month_no_later_than(new Date(e));i.setUTCMonth(i.getUTCMonth()+1);const s=[],o=n;for(;s.push(a.copy_date(o)),o.setUTCMonth(o.getUTCMonth()+1),!(o>i););return s}(t,e),o=this.days,_=this.interval;return{major:r.concat(s.map(t=>((t,e)=>{const n=t.getUTCMonth(),i=[];for(const s of o){const o=a.copy_date(t);o.setUTCDate(s),new Date(o.getTime()+e/2).getUTCMonth()==n&&i.push(o)}return i})(t,_))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.DaysTicker=_,_.__name__=\"DaysTicker\",_.init_DaysTicker()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),r=e(111),l=n.__importStar(e(18));class a extends r.ContinuousTicker{constructor(e){super(e)}static init_SingleIntervalTicker(){this.define({interval:[l.Number]})}get_interval(e,t,i){return this.interval}get min_interval(){return this.interval}get max_interval(){return this.interval}}i.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n",
+       "      function _(t,e,n){function _(t){return new Date(t.getTime())}function O(t){const e=_(t);return e.setUTCDate(1),e.setUTCHours(0),e.setUTCMinutes(0),e.setUTCSeconds(0),e.setUTCMilliseconds(0),e}Object.defineProperty(n,\"__esModule\",{value:!0}),n.ONE_MILLI=1,n.ONE_SECOND=1e3,n.ONE_MINUTE=60*n.ONE_SECOND,n.ONE_HOUR=60*n.ONE_MINUTE,n.ONE_DAY=24*n.ONE_HOUR,n.ONE_MONTH=30*n.ONE_DAY,n.ONE_YEAR=365*n.ONE_DAY,n.copy_date=_,n.last_month_no_later_than=O,n.last_year_no_later_than=function(t){const e=O(t);return e.setUTCMonth(0),e}},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(166),s=t(167),a=r.__importStar(t(18)),o=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define({months:[a.Array,[]]})}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*s.ONE_MONTH:this.interval=12*s.ONE_MONTH}get_ticks_no_defaults(t,e,n,r){const i=function(t,e){const n=s.last_year_no_later_than(new Date(t)),r=s.last_year_no_later_than(new Date(e));r.setUTCFullYear(r.getUTCFullYear()+1);const i=[],a=n;for(;i.push(s.copy_date(a)),a.setUTCFullYear(a.getUTCFullYear()+1),!(a>r););return i}(t,e),a=this.months;return{major:o.concat(i.map(t=>a.map(e=>{const n=s.copy_date(t);return n.setUTCMonth(e),n}))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.MonthsTicker=_,_.__name__=\"MonthsTicker\",_.init_MonthsTicker()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(109),r=e(166),n=e(167);class _ extends r.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=n.ONE_YEAR,this.basic_ticker=new i.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=n.last_year_no_later_than(new Date(e)).getUTCFullYear(),_=n.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,_,a,i).major.map(e=>Date.UTC(e,0,1)).filter(a=>e<=a&&a<=t),minor:[]}}}a.YearsTicker=_,_.__name__=\"YearsTicker\"},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(150),o=e(155),n=e(171),r=e(172);class _ extends s.AxisView{}t.LogAxisView=_,_.__name__=\"LogAxisView\";class c extends o.ContinuousAxis{constructor(e){super(e)}static init_LogAxis(){this.prototype.default_view=_,this.override({ticker:()=>new r.LogTicker,formatter:()=>new n.LogTickFormatter})}}t.LogAxis=c,c.__name__=\"LogAxis\",c.init_LogAxis()},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=t(114),a=t(113),n=i.__importStar(t(18));class c extends o.TickFormatter{constructor(t){super(t)}static init_LogTickFormatter(){this.define({ticker:[n.Instance,null]})}initialize(){super.initialize(),this.basic_formatter=new a.BasicTickFormatter}doFormat(t,e){if(0==t.length)return[];const r=null!=this.ticker?this.ticker.base:10;let i=!1;const o=new Array(t.length);for(let e=0,a=t.length;e<a;e++)if(o[e]=`${r}^${Math.round(Math.log(t[e])/Math.log(r))}`,e>0&&o[e]==o[e-1]){i=!0;break}return i?this.basic_formatter.doFormat(t,e):o}}r.LogTickFormatter=c,c.__name__=\"LogTickFormatter\",c.init_LogTickFormatter()},\n",
+       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(110),s=t(9);class n extends i.AdaptiveTicker{constructor(t){super(t)}static init_LogTicker(){this.override({mantissas:[1,5]})}get_ticks_no_defaults(t,o,e,i){const n=this.num_minor_ticks,r=[],c=this.base,a=Math.log(t)/Math.log(c),f=Math.log(o)/Math.log(c),l=f-a;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,i),c=Math.floor(t/e),a=Math.ceil(o/e);if(h=s.range(c,a+1).filter(t=>0!=t).map(t=>t*e).filter(e=>t<=e&&e<=o),n>0&&h.length>0){const t=e/n,o=s.range(0,n).map(o=>o*t);for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*a),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=s.range(t-1,o+1,e).map(t=>c**t),n>0&&h.length>0){const t=c**e/n,o=s.range(1,n+1).map(o=>o*t);for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter(e=>t<=e&&e<=o),minor:r.filter(e=>t<=e&&e<=o)}}}e.LogTicker=n,n.__name__=\"LogTicker\",n.init_LogTicker()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(150),s=e(157),o=e(174),a=e(175);class c extends i.AxisView{}r.MercatorAxisView=c,c.__name__=\"MercatorAxisView\";class n extends s.LinearAxis{constructor(e){super(e)}static init_MercatorAxis(){this.prototype.default_view=c,this.override({ticker:()=>new a.MercatorTicker({dimension:\"lat\"}),formatter:()=>new o.MercatorTickFormatter({dimension:\"lat\"})})}}r.MercatorAxis=n,n.__name__=\"MercatorAxis\",n.init_MercatorAxis()},\n",
+       "      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),n=r(113),i=o.__importStar(r(18)),c=r(32);class s extends n.BasicTickFormatter{constructor(r){super(r)}static init_MercatorTickFormatter(){this.define({dimension:[i.LatLon]})}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n<e;n++){const[e]=c.wgs84_mercator.inverse([r[n],t.loc]);o[n]=e}else for(let n=0;n<e;n++){const[,e]=c.wgs84_mercator.inverse([t.loc,r[n]]);o[n]=e}return super.doFormat(o,t)}}e.MercatorTickFormatter=s,s.__name__=\"MercatorTickFormatter\",s.init_MercatorTickFormatter()},\n",
+       "      function _(r,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=r(1),s=r(109),i=n.__importStar(r(18)),t=r(32);class c extends s.BasicTicker{constructor(r){super(r)}static init_MercatorTicker(){this.define({dimension:[i.LatLon]})}get_ticks_no_defaults(r,o,e,n){if(null==this.dimension)throw new Error(\"MercatorTicker.dimension not configured\");let s,i,c;[r,o]=t.clip_mercator(r,o,this.dimension),\"lon\"===this.dimension?([s,c]=t.wgs84_mercator.inverse([r,e]),[i,c]=t.wgs84_mercator.inverse([o,e])):([c,s]=t.wgs84_mercator.inverse([e,r]),[c,i]=t.wgs84_mercator.inverse([e,o]));const a=super.get_ticks_no_defaults(s,i,e,n),_=[],f=[];if(\"lon\"===this.dimension){for(const r of a.major)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);_.push(o)}for(const r of a.minor)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);f.push(o)}}else{for(const r of a.major)if(t.in_bounds(r,\"lat\")){const[,o]=t.wgs84_mercator.forward([c,r]);_.push(o)}for(const r of a.minor)if(t.in_bounds(r,\"lat\")){const[,o]=t.wgs84_mercator.forward([c,r]);f.push(o)}}return{major:_,minor:f}}}e.MercatorTicker=c,c.__name__=\"MercatorTicker\",c.init_MercatorTicker()},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});var t=e(177);o.CustomJS=t.CustomJS;var u=e(179);o.OpenURL=u.OpenURL},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),u=t(178),c=n.__importStar(t(18)),r=t(17),a=t(24);class i extends u.Callback{constructor(t){super(t)}static init_CustomJS(){this.define({args:[c.Any,{}],code:[c.String,\"\"]})}get names(){return r.keys(this.args)}get values(){return r.values(this.args)}get func(){const t=a.use_strict(this.code);return new Function(...this.names,\"cb_obj\",\"cb_data\",t)}execute(t,e={}){return this.func.apply(t,this.values.concat(t,e))}}s.CustomJS=i,i.__name__=\"CustomJS\",i.init_CustomJS()},\n",
+       "      function _(e,c,l){Object.defineProperty(l,\"__esModule\",{value:!0});const a=e(71);class n extends a.Model{constructor(e){super(e)}}l.Callback=n,n.__name__=\"Callback\"},\n",
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${e}`)}closePath(){this.__currentDefaultPath&&this.__addPathCommand(\"Z\")}lineTo(t,e){this.__currentPosition={x:t,y:e},this.__currentDefaultPath.indexOf(\"M\")>-1?this.__addPathCommand(`L ${t} ${e}`):this.__addPathCommand(`M ${t} ${e}`)}bezierCurveTo(t,e,s,i,r,n){this.__currentPosition={x:r,y:n},this.__addPathCommand(`C ${t} ${e} ${s} ${i} ${r} ${n}`)}quadraticCurveTo(t,e,s,i){this.__currentPosition={x:s,y:i},this.__addPathCommand(`Q ${t} ${e} ${s} ${i}`)}arcTo(t,e,s,i,r){if(null==this.__currentPosition)return;const n=this.__currentPosition.x,a=this.__currentPosition.y;if(r<0)throw new Error(\"IndexSizeError: The radius provided (\"+r+\") is negative.\");if(n===t&&a===e||t===s&&e===i||0===r)return void this.lineTo(t,e);function o([t,e]){const s=Math.sqrt(t**2+e**2);return[t/s,e/s]}const l=o([n-t,a-e]),h=o([s-t,i-e]);if(l[0]*h[1]==l[1]*h[0])return void this.lineTo(t,e);const 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r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i},!0);this.__closestGroupOrSvg().appendChild(r),this.__currentElement=r,this.__applyStyleToCurrentElement(\"fill\")}strokeRect(t,e,s,i){const r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i},!0);this.__closestGroupOrSvg().appendChild(r),this.__currentElement=r,this.__applyStyleToCurrentElement(\"stroke\")}__clearCanvas(){const t=this.__closestGroupOrSvg().getAttribute(\"transform\"),e=r(this.__root)[1],s=e.childNodes;for(let t=s.length-1;t>=0;t--)s[t]&&e.removeChild(s[t]);this.__currentElement=e,this.__groupStack=[],t&&this.__addTransform(t)}clearRect(t,e,s,i){if(0===t&&0===e&&s===this.width&&i===this.height)return void this.__clearCanvas();const r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i,fill:\"#FFFFFF\"},!0);this.__closestGroupOrSvg().appendChild(r)}createLinearGradient(t,e,s,i){const r=this.__createElement(\"linearGradient\",{id:n(this.__ids),x1:t+\"px\",x2:s+\"px\",y1:e+\"px\",y2:i+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(r),new c(r,this)}createRadialGradient(t,e,s,i,r,a){const o=this.__createElement(\"radialGradient\",{id:n(this.__ids),cx:i+\"px\",cy:r+\"px\",r:a+\"px\",fx:t+\"px\",fy:e+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(o),new c(o,this)}__parseFont(){const t=/^\\s*(?=(?:(?:[-a-z]+\\s*){0,2}(italic|oblique))?)(?=(?:(?:[-a-z]+\\s*){0,2}(small-caps))?)(?=(?:(?:[-a-z]+\\s*){0,2}(bold(?:er)?|lighter|[1-9]00))?)(?:(?:normal|\\1|\\2|\\3)\\s*){0,3}((?:xx?-)?(?:small|large)|medium|smaller|larger|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx]))(?:\\s*\\/\\s*(normal|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx])))?\\s*([-,\\'\\\"\\sa-z0-9]+?)\\s*$/i.exec(this.font),e={style:t[1]||\"normal\",size:t[4]||\"10px\",family:t[6]||\"sans-serif\",weight:t[3]||\"normal\",decoration:t[2]||\"normal\"};return\"underline\"===this.__fontUnderline&&(e.decoration=\"underline\"),null!=this.__fontHref&&(e.href=this.__fontHref),e}__wrapTextLink(t,e){if(t.href){const s=this.__createElement(\"a\");return s.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.href),s.appendChild(e),s}return e}__applyText(t,e,s,i){const r=this.__parseFont(),n=this.__closestGroupOrSvg(),l=this.__createElement(\"text\",{\"font-family\":r.family,\"font-size\":r.size,\"font-style\":r.style,\"font-weight\":r.weight,\"text-decoration\":r.decoration,x:e,y:s,\"text-anchor\":a(this.textAlign),\"dominant-baseline\":o(this.textBaseline)},!0);l.appendChild(this.__document.createTextNode(t)),this.__currentElement=l,this.__applyStyleToCurrentElement(i),n.appendChild(this.__wrapTextLink(r,l))}fillText(t,e,s){this.__applyText(t,e,s,\"fill\")}strokeText(t,e,s){this.__applyText(t,e,s,\"stroke\")}measureText(t){return this.__ctx.font=this.font,this.__ctx.measureText(t)}arc(t,e,s,i,r,n=!1){if(i===r)return;(i%=2*Math.PI)===(r%=2*Math.PI)&&(r=(r+2*Math.PI-.001*(n?-1:1))%(2*Math.PI));const a=t+s*Math.cos(r),o=e+s*Math.sin(r),l=t+s*Math.cos(i),h=e+s*Math.sin(i),c=n?0:1;let _=0,u=r-i;u<0&&(u+=2*Math.PI),_=n?u>Math.PI?0:1:u>Math.PI?1:0,this.moveTo(l,h);const d=s,p=s;this.__addPathCommand(`A ${d} ${p} 0 ${_} ${c} ${a} ${o}`),this.__currentPosition={x:a,y:o}}clip(){const t=this.__closestGroupOrSvg(),e=this.__createElement(\"clipPath\"),s=n(this.__ids),i=this.__createElement(\"g\");this.__applyCurrentDefaultPath(),t.removeChild(this.__currentElement),e.setAttribute(\"id\",s),e.appendChild(this.__currentElement),this.__defs.appendChild(e),t.setAttribute(\"clip-path\",`url(#${s})`),t.appendChild(i),this.__currentElement=i}drawImage(t,...e){let s,i,n,a,o,l,h,c;if(2==e.length)[s,i]=e,o=0,l=0,h=t.width,c=t.height,n=h,a=c;else if(4==e.length)[s,i,n,a]=e,o=0,l=0,h=t.width,c=t.height;else{if(8!==e.length)throw new Error(\"Inavlid number of arguments passed to drawImage: \"+arguments.length);[o,l,h,c,s,i,n,a]=e}const _=this.__closestGroupOrSvg(),d=\"translate(\"+s+\", \"+i+\")\";if(t instanceof u){const e=t.getSvg().cloneNode(!0);if(e.childNodes&&e.childNodes.length>1){const t=r(e)[0];for(;t.childNodes.length;){const e=r(t)[0].getAttribute(\"id\");this.__ids[e]=e,this.__defs.appendChild(r(t)[0])}const s=r(e)[1];if(s){const t=s.getAttribute(\"transform\");let e;e=t?t+\" \"+d:d,s.setAttribute(\"transform\",e),_.appendChild(s)}}}else if(t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__createElement(\"image\");if(e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\"),o||l||h!==t.width||c!==t.height){const e=this.__document.createElement(\"canvas\");e.width=n,e.height=a,e.getContext(\"2d\").drawImage(t,o,l,h,c,0,0,n,a),t=e}e.setAttribute(\"transform\",d);const s=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",s),_.appendChild(e)}else if(t instanceof HTMLCanvasElement){const e=this.__createElement(\"image\");e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\");const s=this.__document.createElement(\"canvas\");s.width=n,s.height=a;const i=s.getContext(\"2d\");i.imageSmoothingEnabled=!1,i.drawImage(t,o,l,h,c,0,0,n,a),t=s,e.setAttribute(\"transform\",d),e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.toDataURL()),_.appendChild(e)}}createPattern(t,e){const s=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),i=n(this.__ids);let r;if(s.setAttribute(\"id\",i),s.setAttribute(\"width\",\"\"+t.width),s.setAttribute(\"height\",\"\"+t.height),t instanceof HTMLCanvasElement||t instanceof HTMLImageElement||t instanceof SVGImageElement){r=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\"),r.setAttribute(\"width\",\"\"+t.width),r.setAttribute(\"height\",\"\"+t.height);const e=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");r.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",e),s.appendChild(r),this.__defs.appendChild(s)}else t instanceof u&&(s.appendChild(t.__root.childNodes[1]),this.__defs.appendChild(s));return new _(s,this)}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}}s.SVGRenderingContext2D=u,u.__name__=\"SVGRenderingContext2D\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(185),_=e(121),n=e(130),r=e(131),i=e(186),g=e(90),c=e(188);class h extends c.LayoutItem{constructor(e,t,s,a,_={},n={}){super(),this.x_scale=e,this.y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=n,this._configure_scales()}map_to_screen(e,t,s=\"default\",a=\"default\"){return[this.xscales[s].v_compute(e),this.yscales[a].v_compute(t)]}_get_ranges(e,t){return Object.assign(Object.assign({},t),{default:e})}_get_scales(e,t,s){const c={};for(const h in t){const o=t[h];if((o instanceof i.DataRange1d||o instanceof r.Range1d)&&!(e instanceof _.ContinuousScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);if(o instanceof g.FactorRange&&!(e instanceof a.CategoricalScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&o instanceof i.DataRange1d&&(o.scale_hint=\"log\");const l=e.clone();l.setv({source_range:o,target_range:s}),c[h]=l}return c}_configure_frame_ranges(){this._h_target=new r.Range1d({start:this._left.value,end:this._right.value}),this._v_target=new r.Range1d({start:this._bottom.value,end:this._top.value})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._xscales=this._get_scales(this.x_scale,this._x_ranges,this._h_target),this._yscales=this._get_scales(this.y_scale,this._y_ranges,this._v_target)}_update_scales(){this._configure_frame_ranges();for(const e in this._xscales){this._xscales[e].target_range=this._h_target}for(const e in this._yscales){this._yscales[e].target_range=this._v_target}}_set_geometry(e,t){super._set_geometry(e,t),this._update_scales()}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get xscales(){return this._xscales}get yscales(){return this._yscales}}s.CartesianFrame=h,h.__name__=\"CartesianFrame\"},\n",
+       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(122);class _ extends n.Scale{constructor(e){super(e)}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}t.CategoricalScale=_,_.__name__=\"CategoricalScale\"},\n",
+       "      function _(t,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=t(1),a=t(187),s=t(81),l=t(72),_=e.__importStar(t(18)),o=e.__importStar(t(88)),r=t(9);class h extends a.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}static init_DataRange1d(){this.define({start:[_.Number],end:[_.Number],range_padding:[_.Number,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[_.Boolean,!1],follow:[_.StartEnd],follow_interval:[_.Number],default_span:[_.Number,2],only_visible:[_.Boolean,!1]}),this.internal({scale_hint:[_.String,\"auto\"]})}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const t=this.names;let i=this.renderers;if(0==i.length)for(const t of this.plots){const n=t.renderers.filter(t=>t instanceof s.GlyphRenderer);i=i.concat(n)}t.length>0&&(i=i.filter(i=>r.includes(t,i.name))),l.logger.debug(`computed ${i.length} renderers for ${this}`);for(const t of i)l.logger.trace(\" - \"+t);return i}_compute_plot_bounds(t,i){let n=o.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=o.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=o.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return e<i*a?e=i*a:a=e/i,n.x1=s+.5*e,n.x0=s-.5*e,n.y1=l+.5*a,n.y0=l-.5*a,n}_compute_min_max(t,i){let n,e,a=o.empty();for(const i of t)a=o.union(a,i);return[n,e]=0==i?[a.x0,a.x1]:[a.y0,a.y1],[n,e]}_compute_range(t,i){const n=this.range_padding;let e,a;if(null!=this._initial_start&&(t=this._initial_start),null!=this._initial_end&&(i=this._initial_end),\"log\"==this.scale_hint){let s,_;if((isNaN(t)||!isFinite(t)||t<=0)&&(t=isNaN(i)||!isFinite(i)||i<=0?.1:i/100,l.logger.warn(\"could not determine minimum data value for log axis, DataRange1d using value \"+t)),(isNaN(i)||!isFinite(i)||i<=0)&&(i=isNaN(t)||!isFinite(t)||t<=0?10:100*t,l.logger.warn(\"could not determine maximum data value for log axis, DataRange1d using value \"+i)),i==t)_=this.default_span+.001,s=Math.log(t)/Math.log(10);else{let e,a;\"percent\"==this.range_padding_units?(e=Math.log(t)/Math.log(10),a=Math.log(i)/Math.log(10),_=(a-e)*(1+n)):(e=Math.log(t-n)/Math.log(10),a=Math.log(i+n)/Math.log(10),_=a-e),s=(e+a)/2}e=10**(s-_/2),a=10**(s+_/2)}else{let s;s=i==t?this.default_span:\"percent\"==this.range_padding_units?(i-t)*(1+n):i-t+2*n;const l=(i+t)/2;e=l-s/2,a=l+s/2}let s=1;this.flipped&&([e,a]=[a,e],s=-1);const _=this.follow_interval;return null!=_&&Math.abs(e-a)>_&&(\"start\"==this.follow?a=e+s*_:\"end\"==this.follow&&(e=a-s*_)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);const[h,d]=[this.start,this.end];if(o!=h||r!=d){const t={};o!=h&&(t.start=o),r!=d&&(t.end=r),this.setv(t)}\"auto\"==this.bounds&&this.setv({bounds:[o,r]},{silent:!0}),this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=h,h.__name__=\"DataRange1d\",h.init_DataRange1d()},\n",
+       "      function _(e,a,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),r=e(91),s=n.__importStar(e(18));class _ extends r.Range{constructor(e){super(e)}static init_DataRange(){this.define({names:[s.Array,[]],renderers:[s.Array,[]]})}}t.DataRange=_,_.__name__=\"DataRange\",_.init_DataRange()},\n",
+       "      function _(a,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=a(189);t.Sizeable=e.Sizeable;var r=a(190);t.Layoutable=r.Layoutable,t.LayoutItem=r.LayoutItem;var n=a(191);t.HStack=n.HStack,t.VStack=n.VStack,t.AnchorLayout=n.AnchorLayout;var u=a(192);t.Grid=u.Grid,t.Row=u.Row,t.Column=u.Column;var c=a(193);t.ContentBox=c.ContentBox,t.VariadicBox=c.VariadicBox},\n",
+       "      function _(h,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const{min:e,max:w}=Math;class d{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new d({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new d({width:h!=1/0?w(this.width,h):this.width,height:t!=1/0?w(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=w(this.width,h),this.height=w(this.height,t)}narrowed_to({width:h,height:t}){return new d({width:e(this.width,h),height:e(this.height,t)})}narrow_to({width:h,height:t}){this.width=e(this.width,h),this.height=e(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,s=this.height+i+e;return new d({width:w,height:s})}shrink_by({left:h,right:t,top:i,bottom:e}){const s=w(this.width-h-t,0),n=w(this.height-i-e,0);return new d({width:s,height:n})}map(h,t){return new d({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=d,d.__name__=\"Sizeable\"},\n",
+       "      function _(i,t,h){Object.defineProperty(h,\"__esModule\",{value:!0});const e=i(189),s=i(88),{min:n,max:g,round:a}=Math;class r{constructor(){this._bbox=new s.BBox,this._inner_bbox=new s.BBox;const i=this;this._top={get value(){return i.bbox.top}},this._left={get value(){return i.bbox.left}},this._width={get value(){return i.bbox.width}},this._height={get value(){return i.bbox.height}},this._right={get value(){return i.bbox.right}},this._bottom={get value(){return i.bbox.bottom}},this._hcenter={get value(){return i.bbox.hcenter}},this._vcenter={get value(){return i.bbox.vcenter}}}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set_sizing(i){const t=i.width_policy||\"fit\",h=i.width,e=null!=i.min_width?i.min_width:0,s=null!=i.max_width?i.max_width:1/0,n=i.height_policy||\"fit\",g=i.height,a=null!=i.min_height?i.min_height:0,r=null!=i.max_height?i.max_height:1/0,l=i.aspect,_=i.margin||{top:0,right:0,bottom:0,left:0},d=!1!==i.visible,o=i.halign||\"start\",u=i.valign||\"start\";this._sizing={width_policy:t,min_width:e,width:h,max_width:s,height_policy:n,min_height:a,height:g,max_height:r,aspect:l,margin:_,visible:d,halign:o,valign:u,size:{width:h,height:g},min_size:{width:e,height:a},max_size:{width:s,height:r}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,t||i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:s,height_policy:n}=this.sizing,g=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=s&&\"fixed\"!=n)if(s==n){const s=t,n=a(t/e),g=a(h*e),r=h;Math.abs(i.width-s)+Math.abs(i.height-n)<=Math.abs(i.width-g)+Math.abs(i.height-r)?(t=s,h=n):(t=g,h=r)}else g(s,n)?h=a(t/e):t=a(h*e);else\"fixed\"==s?h=a(t/e):\"fixed\"==n&&(t=a(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,s=new e.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(s),g=this.clip_size(n),a=t(g.width),r=h(g.height),l=this.apply_aspect(s,{width:a,height:r});return Object.assign(Object.assign({},n),l)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new s.BBox({left:0,top:0,width:h,height:e});let g=void 0;if(null!=t.inner){const{left:i,top:n,right:a,bottom:r}=t.inner;g=new s.BBox({left:i,top:n,right:h-a,bottom:e-r})}this.set_geometry(n,g)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_width(i){return g(this.sizing.min_width,n(i,this.sizing.max_width))}clip_height(i){return g(this.sizing.min_height,n(i,this.sizing.max_height))}clip_size({width:i,height:t}){return{width:this.clip_width(i),height:this.clip_height(t)}}}h.Layoutable=r,r.__name__=\"Layoutable\";class l extends r{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;let e,s;if(i.width==1/0)e=null!=this.sizing.width?this.sizing.width:0;else switch(t){case\"fixed\":e=null!=this.sizing.width?this.sizing.width:0;break;case\"min\":e=null!=this.sizing.width?n(i.width,this.sizing.width):0;break;case\"fit\":e=null!=this.sizing.width?n(i.width,this.sizing.width):i.width;break;case\"max\":e=null!=this.sizing.width?g(i.width,this.sizing.width):i.width}if(i.height==1/0)s=null!=this.sizing.height?this.sizing.height:0;else switch(h){case\"fixed\":s=null!=this.sizing.height?this.sizing.height:0;break;case\"min\":s=null!=this.sizing.height?n(i.height,this.sizing.height):0;break;case\"fit\":s=null!=this.sizing.height?n(i.height,this.sizing.height):i.height;break;case\"max\":s=null!=this.sizing.height?g(i.height,this.sizing.height):i.height}return{width:e,height:s}}}h.LayoutItem=l,l.__name__=\"LayoutItem\";class _ extends r{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=_,_.__name__=\"ContentLayoutable\"},\n",
+       "      function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const o=t(190),r=t(88);class i extends o.Layoutable{constructor(){super(...arguments),this.children=[]}}h.Stack=i,i.__name__=\"Stack\";class s extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e+=o.width,h=Math.max(h,o.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{top:h,bottom:o}=t;let{left:i}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({left:i,width:e,top:h,bottom:o})),i+=e}}}h.HStack=s,s.__name__=\"HStack\";class n extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e=Math.max(e,o.width),h+=o.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{left:h,right:o}=t;let{top:i}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({top:i,height:e,left:h,right:o})),i+=e}}}h.VStack=n,n.__name__=\"VStack\";class c extends o.Layoutable{constructor(){super(...arguments),this.children=[]}_measure(t){let e=0,h=0;for(const{layout:o}of this.children){const r=o.measure(t);e=Math.max(e,r.width),h=Math.max(h,r.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);for(const{layout:e,anchor:h,margin:o}of this.children){const{left:i,right:s,top:n,bottom:c,hcenter:a,vcenter:_}=t,{width:g,height:d}=e.measure(t);let m;switch(h){case\"top_left\":m=new r.BBox({left:i+o,top:n+o,width:g,height:d});break;case\"top_center\":m=new r.BBox({hcenter:a,top:n+o,width:g,height:d});break;case\"top_right\":m=new r.BBox({right:s-o,top:n+o,width:g,height:d});break;case\"bottom_right\":m=new r.BBox({right:s-o,bottom:c-o,width:g,height:d});break;case\"bottom_center\":m=new r.BBox({hcenter:a,bottom:c-o,width:g,height:d});break;case\"bottom_left\":m=new r.BBox({left:i+o,bottom:c-o,width:g,height:d});break;case\"center_left\":m=new r.BBox({left:i+o,vcenter:_,width:g,height:d});break;case\"center\":m=new r.BBox({hcenter:a,vcenter:_,width:g,height:d});break;case\"center_right\":m=new r.BBox({right:s-o,vcenter:_,width:g,height:d})}e.set_geometry(m)}}}h.AnchorLayout=c,c.__name__=\"AnchorLayout\"},\n",
+       "      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(189),o=t(190),n=t(8),r=t(88),h=t(9),{max:l,round:c}=Math;class a{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}a.__name__=\"DefaultMap\";class g{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=l(this._nrows,s+1),this._ncols=l(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter(({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1).map(({data:t})=>t)}row(t){return this._items.filter(({span:i})=>i.r0<=t&&t<=i.r1).map(({data:t})=>t)}col(t){return this._items.filter(({span:i})=>i.c0<=t&&t<=i.c1).map(({data:t})=>t)}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new g;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}g.__name__=\"Container\";class p extends o.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0,this.absolute=!1}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}_init(){super._init();const t=new g;for(const{layout:i,row:s,col:e,row_span:o,col_span:n}of this.items)if(i.sizing.visible){const r=s,h=e,l=s+(null!=o?o:1)-1,c=e+(null!=n?n:1)-1;t.add({r0:r,c0:h,r1:l,c1:c},i)}const{nrows:i,ncols:s}=t,e=new Array(i);for(let s=0;s<i;s++){const i=(()=>{const t=n.isPlainObject(this.rows)?this.rows[s]||this.rows[\"*\"]:this.rows;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",height:t}:n.isString(t)?{policy:t}:t})(),o=i.align||\"auto\";if(\"fixed\"==i.policy)e[s]={policy:\"fixed\",height:i.height,align:o};else if(\"min\"==i.policy)e[s]={policy:\"min\",align:o};else if(\"fit\"==i.policy||\"max\"==i.policy)e[s]={policy:i.policy,flex:i.flex||1,align:o};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");h.some(t.row(s),t=>t.is_height_expanding())?e[s]={policy:\"max\",flex:1,align:o}:e[s]={policy:\"min\",align:o}}}const o=new Array(s);for(let i=0;i<s;i++){const s=(()=>{const t=n.isPlainObject(this.cols)?this.cols[i]||this.cols[\"*\"]:this.cols;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",width:t}:n.isString(t)?{policy:t}:t})(),e=s.align||\"auto\";if(\"fixed\"==s.policy)o[i]={policy:\"fixed\",width:s.width,align:e};else if(\"min\"==s.policy)o[i]={policy:\"min\",align:e};else if(\"fit\"==s.policy||\"max\"==s.policy)o[i]={policy:s.policy,flex:s.flex||1,align:e};else{if(\"auto\"!=s.policy)throw new Error(\"unrechable\");h.some(t.col(i),t=>t.is_width_expanding())?o[i]={policy:\"max\",flex:1,align:e}:o[i]={policy:\"min\",align:e}}}const[r,l]=n.isNumber(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:t,nrows:i,ncols:s,rows:e,cols:o,rspacing:r,cspacing:l}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:h.sum(t)+(s-1)*o,width:h.sum(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:o,rows:n,cols:r,rspacing:h,cspacing:a}=this._state,p=new Array(s);for(let t=0;t<s;t++){const i=n[t];p[t]=\"fixed\"==i.policy?i.height:0}const _=new Array(o);for(let t=0;t<o;t++){const i=r[t];_[t]=\"fixed\"==i.policy?i.width:0}const f=new g;return i.foreach((i,s)=>{const{r0:o,c0:g,r1:d,c1:w}=i,u=(d-o)*h,m=(w-g)*a;let y=0;for(let i=o;i<=d;i++)y+=t(i,g).height;y+=u;let x=0;for(let i=g;i<=w;i++)x+=t(o,i).width;x+=m;const b=s.measure({width:x,height:y});f.add(i,{layout:s,size_hint:b});const z=new e.Sizeable(b).grow_by(s.sizing.margin);z.height-=u,z.width-=m;const j=[];for(let t=o;t<=d;t++){const i=n[t];\"fixed\"==i.policy?z.height-=i.height:j.push(t)}if(z.height>0){const t=c(z.height/j.length);for(const i of j)p[i]=l(p[i],t)}const O=[];for(let t=g;t<=w;t++){const i=r[t];\"fixed\"==i.policy?z.width-=i.width:O.push(t)}if(z.width>0){const t=c(z.width/O.length);for(const i of O)_[i]=l(_[i],t)}}),{size:this._measure_totals(p,_),row_heights:p,col_widths:_,size_hints:f}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:r}=this._state,h=this._measure_cells((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}});let a;a=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:h.size.height;let g,p=0;for(let t=0;t<i;t++){const i=e[t];\"fit\"==i.policy||\"max\"==i.policy?p+=i.flex:a-=h.row_heights[t]}if(a-=(i-1)*n,0!=p&&a>0)for(let t=0;t<i;t++){const i=e[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(a*(i.flex/p));a-=s,h.row_heights[t]=s,p-=i.flex}}else if(a<0){let t=0;for(let s=0;s<i;s++){\"fixed\"!=e[s].policy&&t++}let s=-a;for(let o=0;o<i;o++){if(\"fixed\"!=e[o].policy){const i=h.row_heights[o],e=c(s/t);h.row_heights[o]=l(i-e,0),s-=e>i?i:e,t--}}}g=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:h.size.width;let _=0;for(let t=0;t<s;t++){const i=o[t];\"fit\"==i.policy||\"max\"==i.policy?_+=i.flex:g-=h.col_widths[t]}if(g-=(s-1)*r,0!=_&&g>0)for(let t=0;t<s;t++){const i=o[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(g*(i.flex/_));g-=s,h.col_widths[t]=s,_-=i.flex}}else if(g<0){let t=0;for(let i=0;i<s;i++){\"fixed\"!=o[i].policy&&t++}let i=-g;for(let e=0;e<s;e++){if(\"fixed\"!=o[e].policy){const s=h.col_widths[e],o=c(i/t);h.col_widths[e]=l(s-o,0),i-=o>s?s:o,t--}}}const{row_heights:f,col_widths:d,size_hints:w}=this._measure_cells((t,i)=>({width:h.col_widths[i],height:h.row_heights[t]}));return{size:this._measure_totals(f,d),row_heights:f,col_widths:d,size_hints:w}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:h,col_widths:g,size_hints:p}=this._measure_grid(t),_=this._state.rows.map((t,i)=>Object.assign(Object.assign({},t),{top:0,height:h[i],get bottom(){return this.top+this.height}})),f=this._state.cols.map((t,i)=>Object.assign(Object.assign({},t),{left:0,width:g[i],get right(){return this.left+this.width}})),d=p.map((t,i)=>Object.assign(Object.assign({},i),{outer:new r.BBox,inner:new r.BBox}));for(let i=0,e=this.absolute?t.top:0;i<s;i++){const t=_[i];t.top=e,e+=t.height+o}for(let i=0,s=this.absolute?t.left:0;i<e;i++){const t=f[i];t.left=s,s+=t.width+n}d.foreach(({r0:t,c0:i,r1:s,c1:e},h)=>{const{layout:l,size_hint:a}=h,{sizing:g}=l,{width:p,height:d}=a,w=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=f[e].width;return s}(i,e),u=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=_[e].height;return s}(t,s),m=i==e&&\"auto\"!=f[i].align?f[i].align:g.halign,y=t==s&&\"auto\"!=_[t].align?_[t].align:g.valign;let x=f[i].left;\"start\"==m?x+=g.margin.left:\"center\"==m?x+=c((w-p)/2):\"end\"==m&&(x+=w-g.margin.right-p);let b=_[t].top;\"start\"==y?b+=g.margin.top:\"center\"==y?b+=c((u-d)/2):\"end\"==y&&(b+=u-g.margin.bottom-d),h.outer=new r.BBox({left:x,top:b,width:p,height:d})});const w=_.map(()=>({start:new a(()=>0),end:new a(()=>0)})),u=f.map(()=>({start:new a(()=>0),end:new a(()=>0)}));d.foreach(({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:r}=o;null!=r&&(w[t].start.apply(n.top,t=>l(t,r.top)),w[s].end.apply(_[s].bottom-n.bottom,t=>l(t,r.bottom)),u[i].start.apply(n.left,t=>l(t,r.left)),u[e].end.apply(f[e].right-n.right,t=>l(t,r.right)))}),d.foreach(({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:h}=o;function l({left:t,right:i,top:s,bottom:e}){const o=h.width-t-i,n=h.height-s-e;return new r.BBox({left:t,top:s,width:o,height:n})}if(null!=n.inner){let r=l(n.inner);if(!1!==n.align){const o=w[t].start.get(h.top),n=w[s].end.get(_[s].bottom-h.bottom),c=u[i].start.get(h.left),a=u[e].end.get(f[e].right-h.right);try{r=l({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=r}else o.inner=h}),d.foreach((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)})}}s.Grid=p,p.__name__=\"Grid\";class _ extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:0,col:i})),this.rows=\"fit\"}}s.Row=_,_.__name__=\"Row\";class f extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:i,col:0})),this.cols=\"fit\"}}s.Column=f,f.__name__=\"Column\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(190),i=e(189),a=e(68);class c extends n.ContentLayoutable{constructor(e){super(),this.content_size=a.unsized(e,()=>new i.Sizeable(a.size(e)))}_content_size(){return this.content_size}}s.ContentBox=c,c.__name__=\"ContentBox\";class o extends n.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new i.Sizeable(e).bounded_to(this.sizing.size);return a.sized(this.el,t,()=>{const e=new i.Sizeable(a.content_size(this.el)),{border:t,padding:s}=a.extents(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)})}}s.VariadicBox=o,o.__name__=\"VariadicBox\";class r extends o{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=r,r.__name__=\"CachedVariadicBox\"},\n",
+       "      function _(e,r,u){Object.defineProperty(u,\"__esModule\",{value:!0});var a=e(195);u.Expression=a.Expression;var n=e(196);u.Stack=n.Stack;var o=e(197);u.CumSum=o.CumSum},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(71);class i extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}v_compute(e){this._connected.has(e)||(this.connect(e.change,()=>this._result.delete(e)),this.connect(e.patching,()=>this._result.delete(e)),this.connect(e.streaming,()=>this._result.delete(e)),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=i,i.__name__=\"Expression\"},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),o=t(195),r=i.__importStar(t(18));class s extends o.Expression{constructor(t){super(t)}static init_Stack(){this.define({fields:[r.Array,[]]})}_v_compute(t){var e;const n=null!==(e=t.get_length())&&void 0!==e?e:0,i=new Float64Array(n);for(const e of this.fields){const o=t.data[e];if(null!=o)for(let t=0,e=Math.min(n,o.length);t<e;t++)i[t]+=o[t]}return i}}n.Stack=s,s.__name__=\"Stack\",s.init_Stack()},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),u=e(195),o=i.__importStar(e(18));class r extends u.Expression{constructor(e){super(e)}static init_CumSum(){this.define({field:[o.String],include_zero:[o.Boolean,!1]})}_v_compute(e){const t=new Float64Array(e.get_length()||0),n=e.data[this.field],i=this.include_zero?1:0;t[0]=this.include_zero?0:n[0];for(let e=1;e<t.length;e++)t[e]=t[e-1]+n[e-i];return t}}n.CumSum=r,r.__name__=\"CumSum\",r.init_CumSum()},\n",
+       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});var l=e(199);t.BooleanFilter=l.BooleanFilter;var i=e(201);t.CustomJSFilter=i.CustomJSFilter;var o=e(200);t.Filter=o.Filter;var F=e(202);t.GroupFilter=F.GroupFilter;var a=e(203);t.IndexFilter=a.IndexFilter},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(200),i=o.__importStar(e(18)),r=e(72),a=e(9),s=e(8);class g extends l.Filter{constructor(e){super(e)}static init_BooleanFilter(){this.define({booleans:[i.Array,null]})}compute_indices(e){const n=this.booleans;return null!=n&&n.length>0?a.every(n,s.isBoolean)?(n.length!==e.get_length()&&r.logger.warn(this+\": length of booleans doesn't match data source\"),a.range(0,n.length).filter(e=>!0===n[e])):(r.logger.warn(this+\": booleans should be array of booleans, defaulting to no filtering\"),null):(null!=n&&0==n.length?r.logger.warn(this+\": booleans is empty, defaulting to no filtering\"):r.logger.warn(this+\": booleans was not set, defaulting to no filtering\"),null)}}t.BooleanFilter=g,g.__name__=\"BooleanFilter\",g.init_BooleanFilter()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),l=i.__importStar(e(18)),o=e(8),s=e(9),a=e(72);class f extends n.Model{constructor(e){super(e)}static init_Filter(){this.define({filter:[l.Array,null]})}compute_indices(e){const t=this.filter;return null!=t?o.isArrayOf(t,o.isBoolean)?s.range(0,t.length).filter(e=>!0===t[e]):o.isArrayOf(t,o.isInteger)?t:(a.logger.warn(this+\": filter should either be array of only booleans or only integers, defaulting to no filtering\"),null):(a.logger.warn(this+\": filter was not set to be an array, defaulting to no filtering\"),null)}}r.Filter=f,f.__name__=\"Filter\",f.init_Filter()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),r=t(200),n=i.__importStar(t(18)),u=t(17),c=t(24);class o extends r.Filter{constructor(t){super(t)}static init_CustomJSFilter(){this.define({args:[n.Any,{}],code:[n.String,\"\"]})}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const t=c.use_strict(this.code);return new Function(...this.names,\"source\",t)}compute_indices(t){return this.filter=this.func(...this.values,t),super.compute_indices(t)}}s.CustomJSFilter=o,o.__name__=\"CustomJSFilter\",o.init_CustomJSFilter()},\n",
+       "      function _(t,n,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),r=t(200),o=e.__importStar(t(18)),u=t(72),l=t(9);class s extends r.Filter{constructor(t){super(t),this.indices=null}static init_GroupFilter(){this.define({column_name:[o.String],group:[o.String]})}compute_indices(t){const n=t.get_column(this.column_name);return null==n?(u.logger.warn(\"group filter: groupby column not found in data source\"),null):(this.indices=l.range(0,t.get_length()||0).filter(t=>n[t]===this.group),0===this.indices.length&&u.logger.warn(`group filter: group '${this.group}' did not match any values in column '${this.column_name}'`),this.indices)}}i.GroupFilter=s,s.__name__=\"GroupFilter\",s.init_GroupFilter()},\n",
+       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),r=e(200),s=t.__importStar(e(18)),l=e(72),d=e(8),o=e(9);class c extends r.Filter{constructor(e){super(e)}static init_IndexFilter(){this.define({indices:[s.Array,null]})}compute_indices(e){return null!=this.indices?o.every(this.indices,d.isInteger)?this.indices:(l.logger.warn(this+\": indices should be array of integers, defaulting to no filtering\"),null):(l.logger.warn(this+\": indices was not set, defaulting to no filtering\"),null)}}n.IndexFilter=c,c.__name__=\"IndexFilter\",c.init_IndexFilter()},\n",
+       "      function _(r,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});var e=r(113);a.BasicTickFormatter=e.BasicTickFormatter;var c=r(154);a.CategoricalTickFormatter=c.CategoricalTickFormatter;var i=r(158);a.DatetimeTickFormatter=i.DatetimeTickFormatter;var o=r(205);a.FuncTickFormatter=o.FuncTickFormatter;var m=r(171);a.LogTickFormatter=m.LogTickFormatter;var F=r(174);a.MercatorTickFormatter=F.MercatorTickFormatter;var k=r(206);a.NumeralTickFormatter=k.NumeralTickFormatter;var T=r(207);a.PrintfTickFormatter=T.PrintfTickFormatter;var v=r(114);a.TickFormatter=v.TickFormatter},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),s=t(114),i=r.__importStar(t(18)),c=t(17),a=t(24);class u extends s.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map((t,e,r)=>n(t,e,r,...this.values))}}n.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n",
+       "      function _(r,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=r(1),o=e.__importStar(r(161)),a=r(114),i=e.__importStar(r(18));class u extends a.TickFormatter{constructor(r){super(r)}static init_NumeralTickFormatter(){this.define({format:[i.String,\"0,0\"],language:[i.String,\"en\"],rounding:[i.RoundingFunction,\"round\"]})}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,t){const{format:n,language:e,_rounding_fn:a}=this;return r.map(r=>o.format(r,n,e,a))}}n.NumeralTickFormatter=u,u.__name__=\"NumeralTickFormatter\",u.init_NumeralTickFormatter()},\n",
+       "      function _(t,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),n=t(114),o=t(160),a=e.__importStar(t(18));class c extends n.TickFormatter{constructor(t){super(t)}static init_PrintfTickFormatter(){this.define({format:[a.String,\"%s\"]})}doFormat(t,r){return t.map(t=>o.sprintf(this.format,t))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n",
+       "      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var v=a(209);r.AnnularWedge=v.AnnularWedge;var l=a(210);r.Annulus=l.Annulus;var t=a(211);r.Arc=t.Arc;var i=a(212);r.Bezier=i.Bezier;var n=a(213);r.Circle=n.Circle;var u=a(214);r.CenterRotatable=u.CenterRotatable;var c=a(215);r.Ellipse=c.Ellipse;var g=a(216);r.EllipseOval=g.EllipseOval;var A=a(89);r.Glyph=A.Glyph;var p=a(95);r.HArea=p.HArea;var s=a(217);r.HBar=s.HBar;var d=a(219);r.HexTile=d.HexTile;var R=a(220);r.Image=R.Image;var o=a(222);r.ImageRGBA=o.ImageRGBA;var y=a(223);r.ImageURL=y.ImageURL;var h=a(83);r.Line=h.Line;var m=a(225);r.MultiLine=m.MultiLine;var B=a(226);r.MultiPolygons=B.MultiPolygons;var P=a(227);r.Oval=P.Oval;var G=a(94);r.Patch=G.Patch;var H=a(228);r.Patches=H.Patches;var I=a(229);r.Quad=I.Quad;var L=a(230);r.Quadratic=L.Quadratic;var M=a(231);r.Ray=M.Ray;var O=a(232);r.Rect=O.Rect;var x=a(233);r.Segment=x.Segment;var C=a(234);r.Step=C.Step;var E=a(235);r.Text=E.Text;var Q=a(97);r.VArea=Q.VArea;var S=a(236);r.VBar=S.VBar;var T=a(237);r.Wedge=T.Wedge;var V=a(84);r.XYGlyph=V.XYGlyph},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),o=e(10),h=e(79);class u extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius,this._angle=new Float32Array(this._start_angle.length);for(let e=0,t=this._start_angle.length;e<t;e++)this._angle[e]=this._end_angle[e]-this._start_angle[e]}_render(e,t,{sx:s,sy:i,_start_angle:r,_angle:n,sinner_radius:a,souter_radius:_}){const o=this.model.properties.direction.value();for(const h of t)isNaN(s[h]+i[h]+a[h]+_[h]+r[h]+n[h])||(e.translate(s[h],i[h]),e.rotate(r[h]),e.moveTo(_[h],0),e.beginPath(),e.arc(0,0,_[h],0,n[h],o),e.rotate(n[h]),e.lineTo(a[h],0),e.arc(0,0,a[h],0,-n[h],!o),e.closePath(),e.rotate(-n[h]-r[h]),e.translate(-s[h],-i[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,h),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,h),e.stroke()))}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,a,_,u;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,_=i+this.max_outer_radius,a=r-this.max_outer_radius,u=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,_]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,o=s+this.max_outer_radius;[a,u]=this.renderer.yscale.r_invert(r,o)}const d=[];for(const e of this.index.indices({x0:n,x1:_,y0:a,y1:u})){const t=this.souter_radius[e]**2,s=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[_,o]=this.renderer.yscale.r_compute(r,this._y[e]),h=(n-a)**2+(_-o)**2;h<=t&&h>=s&&d.push([e,h])}const l=this.model.properties.direction.value(),c=[];for(const[e,i]of d){const r=Math.atan2(s-this.sy[e],t-this.sx[e]);o.angle_between(-r,-this._start_angle[e],-this._end_angle[e],l)&&c.push([e,i])}return h.Selection.from_hits(c)}draw_legend_for_index(e,t,s){n.generic_area_legend(this.visuals,e,t,s)}_scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+t*Math.cos(s),y:this.sy[e]+t*Math.sin(s)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}s.AnnularWedgeView=u,u.__name__=\"AnnularWedgeView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=u,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],inner_radius:[_.DistanceSpec],outer_radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.AnnularWedge=d,d.__name__=\"AnnularWedge\",d.init_AnnularWedge()},\n",
+       "      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(18)),_=s(28),u=s(79);class o extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius}_render(s,i,{sx:e,sy:t,sinner_radius:r,souter_radius:a}){for(const n of i)if(!isNaN(e[n]+t[n]+r[n]+a[n])){if(this.visuals.fill.doit){if(this.visuals.fill.set_vectorize(s,n),s.beginPath(),_.is_ie)for(const i of[!1,!0])s.arc(e[n],t[n],r[n],0,Math.PI,i),s.arc(e[n],t[n],a[n],Math.PI,0,!i);else s.arc(e[n],t[n],r[n],0,2*Math.PI,!0),s.arc(e[n],t[n],a[n],2*Math.PI,0,!1);s.fill()}this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),s.beginPath(),s.arc(e[n],t[n],r[n],0,2*Math.PI),s.moveTo(e[n]+a[n],t[n]),s.arc(e[n],t[n],a[n],0,2*Math.PI),s.stroke())}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,_,o;if(\"data\"==this.model.properties.outer_radius.units)a=t-this.max_outer_radius,_=t+this.max_outer_radius,n=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const s=i-this.max_outer_radius,t=i+this.max_outer_radius;[a,_]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_outer_radius,u=e+this.max_outer_radius;[n,o]=this.renderer.yscale.r_invert(r,u)}const h=[];for(const s of this.index.indices({x0:a,x1:_,y0:n,y1:o})){const i=this.souter_radius[s]**2,e=this.sinner_radius[s]**2,[a,n]=this.renderer.xscale.r_compute(t,this._x[s]),[_,u]=this.renderer.yscale.r_compute(r,this._y[s]),o=(a-n)**2+(_-u)**2;o<=i&&o>=e&&h.push([s,o])}return u.Selection.from_hits(h)}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,_=new Array(n);_[a]=(i+t)/2;const u=new Array(n);u[a]=(e+r)/2;const o=.5*Math.min(Math.abs(t-i),Math.abs(r-e)),h=new Array(n);h[a]=.4*o;const d=new Array(n);d[a]=.8*o,this._render(s,[a],{sx:_,sy:u,sinner_radius:h,souter_radius:d})}}e.AnnulusView=o,o.__name__=\"AnnulusView\";class h extends r.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=o,this.mixins([a.LineVector,a.FillVector]),this.define({inner_radius:[n.DistanceSpec],outer_radius:[n.DistanceSpec]})}}e.Annulus=h,h.__name__=\"Annulus\",h.init_Annulus()},\n",
+       "      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(1),r=e(84),n=e(92),a=e(23),_=t.__importStar(e(18));class c extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,i,{sx:s,sy:t,sradius:r,_start_angle:n,_end_angle:a}){if(this.visuals.line.doit){const _=this.model.properties.direction.value();for(const c of i)isNaN(s[c]+t[c]+r[c]+n[c]+a[c])||(e.beginPath(),e.arc(s[c],t[c],r[c],n[c],a[c],_),this.visuals.line.set_vectorize(e,c),e.stroke())}}draw_legend_for_index(e,i,s){n.generic_line_legend(this.visuals,e,i,s)}}s.ArcView=c,c.__name__=\"ArcView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=c,this.mixins(a.LineVector),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.Arc=d,d.__name__=\"Arc\",d.init_Arc()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),n=t(85),c=t(89),o=t(92);function r(t,e,i,s,n,c,o,r){const h=[],_=[[],[]];for(let _=0;_<=2;_++){let a,x,l;if(0===_?(x=6*t-12*i+6*n,a=-3*t+9*i-9*n+3*o,l=3*i-3*t):(x=6*e-12*s+6*c,a=-3*e+9*s-9*c+3*r,l=3*s-3*e),Math.abs(a)<1e-12){if(Math.abs(x)<1e-12)continue;const t=-l/x;0<t&&t<1&&h.push(t);continue}const y=x*x-4*l*a,u=Math.sqrt(y);if(y<0)continue;const d=(-x+u)/(2*a);0<d&&d<1&&h.push(d);const f=(-x-u)/(2*a);0<f&&f<1&&h.push(f)}let a=h.length;const x=a;for(;a--;){const x=h[a],l=1-x,y=l*l*l*t+3*l*l*x*i+3*l*x*x*n+x*x*x*o;_[0][a]=y;const u=l*l*l*e+3*l*l*x*s+3*l*x*x*c+x*x*x*r;_[1][a]=u}return _[0][x]=t,_[1][x]=e,_[0][x+1]=o,_[1][x+1]=r,[Math.min(..._[0]),Math.max(..._[1]),Math.max(..._[0]),Math.min(..._[1])]}class h extends c.GlyphView{_index_data(){const t=[];for(let e=0,i=this._x0.length;e<i;e++){if(isNaN(this._x0[e]+this._x1[e]+this._y0[e]+this._y1[e]+this._cx0[e]+this._cy0[e]+this._cx1[e]+this._cy1[e]))continue;const[i,s,n,c]=r(this._x0[e],this._y0[e],this._x1[e],this._y1[e],this._cx0[e],this._cy0[e],this._cx1[e],this._cy1[e]);t.push({x0:i,y0:s,x1:n,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sx0:i,sy0:s,sx1:n,sy1:c,scx0:o,scy0:r,scx1:h,scy1:_}){if(this.visuals.line.doit)for(const a of e)isNaN(i[a]+s[a]+n[a]+c[a]+o[a]+r[a]+h[a]+_[a])||(t.beginPath(),t.moveTo(i[a],s[a]),t.bezierCurveTo(o[a],r[a],h[a],_[a],n[a],c[a]),this.visuals.line.set_vectorize(t,a),t.stroke())}draw_legend_for_index(t,e,i){o.generic_line_legend(this.visuals,t,e,i)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}i.BezierView=h,h.__name__=\"BezierView\";class _ extends c.Glyph{constructor(t){super(t)}static init_Bezier(){this.prototype.default_view=h,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx0\",\"cy0\"],[\"cx1\",\"cy1\"]]),this.mixins(s.LineVector)}}i.Bezier=_,_.__name__=\"Bezier\",_.init_Bezier()},\n",
+       "      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(93)),h=t.__importStar(s(18)),d=s(9),_=s(12),l=s(79);class c extends r.XYGlyphView{_map_data(){if(null!=this._radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this._radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.max(s,i[e]));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.min(s,i[e]));break}}else this.sradius=this._radius,this.max_size=2*this.max_radius;else this.sradius=_.map(this._size,s=>s/2)}_mask_data(){const[s,i]=this.renderer.plot_view.frame.bbox.ranges;let e,t,r,a;if(null!=this._radius&&\"data\"==this.model.properties.radius.units){const n=s.start,h=s.end;[e,r]=this.renderer.xscale.r_invert(n,h),e-=this.max_radius,r+=this.max_radius;const d=i.start,_=i.end;[t,a]=this.renderer.yscale.r_invert(d,_),t-=this.max_radius,a+=this.max_radius}else{const n=s.start-this.max_size,h=s.end+this.max_size;[e,r]=this.renderer.xscale.r_invert(n,h);const d=i.start-this.max_size,_=i.end+this.max_size;[t,a]=this.renderer.yscale.r_invert(d,_)}return this.index.indices({x0:e,x1:r,y0:t,y1:a})}_render(s,i,{sx:e,sy:t,sradius:r}){for(const a of i)isNaN(e[a]+t[a]+r[a])||(s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,a),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.stroke()))}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,h,d;if(null!=this._radius&&\"data\"==this.model.properties.radius.units)a=t-this.max_radius,n=t+this.max_radius,h=r-this.max_radius,d=r+this.max_radius;else{const s=i-this.max_size,t=i+this.max_size;[a,n]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size,_=e+this.max_size;[h,d]=this.renderer.yscale.r_invert(r,_)}const _=this.index.indices({x0:a,x1:n,y0:h,y1:d}),c=[];if(null!=this._radius&&\"data\"==this.model.properties.radius.units)for(const s of _){const i=this.sradius[s]**2,[e,a]=this.renderer.xscale.r_compute(t,this._x[s]),[n,h]=this.renderer.yscale.r_compute(r,this._y[s]),d=(e-a)**2+(n-h)**2;d<=i&&c.push([s,d])}else for(const s of _){const t=this.sradius[s]**2,r=(this.sx[s]-i)**2+(this.sy[s]-e)**2;r<=t&&c.push([s,r])}return l.Selection.from_hits(c)}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=this.index.indices({x0:r,x1:a,y0:n,y1:h});return new l.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),_=this.index.indices({x0:a,x1:n,y0:h,y1:d});return new l.Selection({indices:_})}_hit_poly(s){const{sx:i,sy:e}=s,t=d.range(0,this.sx.length),r=[];for(let s=0,a=t.length;s<a;s++){const a=t[s];n.point_in_poly(this.sx[s],this.sy[s],i,e)&&r.push(a)}return new l.Selection({indices:r})}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,h=new Array(n);h[a]=(i+t)/2;const d=new Array(n);d[a]=(e+r)/2;const _=new Array(n);_[a]=.2*Math.min(Math.abs(t-i),Math.abs(r-e)),this._render(s,[a],{sx:h,sy:d,sradius:_})}}e.CircleView=c,c.__name__=\"CircleView\";class o extends r.XYGlyph{constructor(s){super(s)}static init_Circle(){this.prototype.default_view=c,this.mixins([a.LineVector,a.FillVector]),this.define({angle:[h.AngleSpec,0],size:[h.DistanceSpec,{units:\"screen\",value:4}],radius:[h.DistanceSpec,void 0,{optional:!0}],radius_dimension:[h.RadiusDimension,\"x\"]})}}e.Circle=o,o.__name__=\"Circle\",o.init_Circle()},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=e(1),i=e(84),l=e(23),s=a.__importStar(e(18));class c extends i.XYGlyphView{}n.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class o extends i.XYGlyph{constructor(e){super(e)}static init_CenterRotatable(){this.mixins([l.LineVector,l.FillVector]),this.define({angle:[s.AngleSpec,0],width:[s.DistanceSpec],height:[s.DistanceSpec]})}}n.CenterRotatable=o,o.__name__=\"CenterRotatable\",o.init_CenterRotatable()},\n",
+       "      function _(e,l,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(216);class t extends s.EllipseOvalView{}i.EllipseView=t,t.__name__=\"EllipseView\";class _ extends s.EllipseOval{constructor(e){super(e)}static init_Ellipse(){this.prototype.default_view=t}}i.Ellipse=_,_.__name__=\"Ellipse\",_.init_Ellipse()},\n",
+       "      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),h=t(214),r=e.__importStar(t(93)),a=t(79);class _ extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"):this.sw=this._width,\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"):this.sh=this._height}_render(t,s,{sx:i,sy:e,sw:h,sh:r,_angle:a}){for(const _ of s)isNaN(i[_]+e[_]+h[_]+r[_]+a[_])||(t.beginPath(),t.ellipse(i[_],e[_],h[_]/2,r[_]/2,a[_],0,2*Math.PI),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,_),t.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,_),t.stroke()))}_hit_point(t){let s,i,e,h,_,n,l,d,o,x;const{sx:m,sy:c}=t,w=this.renderer.xscale.invert(m),p=this.renderer.yscale.invert(c);\"data\"==this.model.properties.width.units?(s=w-this.max_width,i=w+this.max_width):(l=m-this.max_width,d=m+this.max_width,[s,i]=this.renderer.xscale.r_invert(l,d)),\"data\"==this.model.properties.height.units?(e=p-this.max_height,h=p+this.max_height):(o=c-this.max_height,x=c+this.max_height,[e,h]=this.renderer.yscale.r_invert(o,x));const y=this.index.indices({x0:s,x1:i,y0:e,y1:h}),u=[];for(const t of y)_=r.point_in_ellipse(m,c,this._angle[t],this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),_&&([l,d]=this.renderer.xscale.r_compute(w,this._x[t]),[o,x]=this.renderer.yscale.r_compute(p,this._y[t]),n=(l-d)**2+(o-x)**2,u.push([t,n]));return a.Selection.from_hits(u)}draw_legend_for_index(t,{x0:s,y0:i,x1:e,y1:h},r){const a=r+1,_=new Array(a);_[r]=(s+e)/2;const n=new Array(a);n[r]=(i+h)/2;const l=this.sw[r]/this.sh[r],d=.8*Math.min(Math.abs(e-s),Math.abs(h-i)),o=new Array(a),x=new Array(a);l>1?(o[r]=d,x[r]=d/l):(o[r]=d*l,x[r]=d),this._render(t,[r],{sx:_,sy:n,sw:o,sh:x,_angle:[0]})}_bounds({x0:t,x1:s,y0:i,y1:e}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:i-this.max_h2,y1:e+this.max_h2}}}i.EllipseOvalView=_,_.__name__=\"EllipseOvalView\";class n extends h.CenterRotatable{constructor(t){super(t)}}i.EllipseOval=n,n.__name__=\"EllipseOval\"},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class _ extends h.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return this.sy[t]}_index_data(){return this._index_box(this._y.length)}_lrtb(t){return[Math.min(this._left[t],this._right[t]),Math.max(this._left[t],this._right[t]),this._y[t]+.5*this._height[t],this._y[t]-.5*this._height[t]]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new Float64Array(t),this.sbottom=new Float64Array(t);for(let s=0;s<t;s++)this.stop[s]=this.sy[s]-this.sh[s]/2,this.sbottom[s]=this.sy[s]+this.sh[s]/2;this._clamp_viewport()}}e.HBarView=_,_.__name__=\"HBarView\";class a extends h.Box{constructor(t){super(t)}static init_HBar(){this.prototype.default_view=_,this.coords([[\"left\",\"y\"]]),this.define({height:[r.NumberSpec],right:[r.CoordinateSpec]}),this.override({left:0})}}e.HBar=a,a.__name__=\"HBar\",a.init_HBar()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),r=t(85),n=t(89),h=t(92),o=t(79);class a extends n.GlyphView{get_anchor_point(t,e,i){const s=Math.min(this.sleft[e],this.sright[e]),r=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),h=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:s,y:n};case\"top_center\":return{x:(s+r)/2,y:n};case\"top_right\":return{x:r,y:n};case\"bottom_left\":return{x:s,y:h};case\"bottom_center\":return{x:(s+r)/2,y:h};case\"bottom_right\":return{x:r,y:h};case\"center_left\":return{x:s,y:(n+h)/2};case\"center\":return{x:(s+r)/2,y:(n+h)/2};case\"center_right\":return{x:r,y:(n+h)/2};default:return null}}_index_box(t){const e=[];for(let i=0;i<t;i++){const[t,s,r,n]=this._lrtb(i);!isNaN(t+s+r+n)&&isFinite(t+s+r+n)&&e.push({x0:Math.min(t,s),y0:Math.min(r,n),x1:Math.max(s,t),y1:Math.max(r,n),i})}return new r.SpatialIndex(e)}_render(t,e,{sleft:i,sright:s,stop:r,sbottom:n}){for(const h of e)isNaN(i[h]+r[h]+s[h]+n[h])||(t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()),this.visuals.hatch.doit2(t,h,()=>{t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.stroke()))}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,i=this.stop.length;for(let s=0;s<i;s++)this.stop[s]=Math.max(this.stop[s],e.start),this.sbottom[s]=Math.min(this.sbottom[s],e.end),this.sleft[s]=Math.max(this.sleft[s],t.start),this.sright[s]=Math.min(this.sright[s],t.end)}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){const{sx:e,sy:i}=t,s=this.renderer.xscale.invert(e),r=this.renderer.yscale.invert(i),n=this.index.indices({x0:s,y0:r,x1:s,y1:r});return new o.Selection({indices:n})}_hit_span(t){const{sx:e,sy:i}=t;let s;if(\"v\"==t.direction){const t=this.renderer.yscale.invert(i),e=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(e.start,e.end);s=this.index.indices({x0:r,y0:t,x1:n,y1:t})}else{const t=this.renderer.xscale.invert(e),i=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(i.start,i.end);s=this.index.indices({x0:t,y0:r,x1:t,y1:n})}return new o.Selection({indices:s})}draw_legend_for_index(t,e,i){h.generic_area_legend(this.visuals,t,e,i)}}i.BoxView=a,a.__name__=\"BoxView\";class c extends n.Glyph{constructor(t){super(t)}static init_Box(){this.mixins([s.LineVector,s.FillVector,s.HatchVector])}}i.Box=c,c.__name__=\"Box\",c.init_Box()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(89),n=i.__importStar(e(93)),o=i.__importStar(e(18)),a=e(23),l=e(85),h=e(92),c=e(79);class _ extends r.GlyphView{scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}_set_data(){const e=this._q.length,t=this.model.size,s=this.model.aspect_scale;if(this._x=new Float64Array(e),this._y=new Float64Array(e),\"pointytop\"==this.model.orientation)for(let i=0;i<e;i++)this._x[i]=t*Math.sqrt(3)*(this._q[i]+this._r[i]/2)/s,this._y[i]=3*-t/2*this._r[i];else for(let i=0;i<e;i++)this._x[i]=3*t/2*this._q[i],this._y[i]=-t*Math.sqrt(3)*(this._r[i]+this._q[i]/2)*s}_index_data(){let e=this.model.size,t=Math.sqrt(3)*e/2;\"flattop\"==this.model.orientation?([t,e]=[e,t],e*=this.model.aspect_scale):t/=this.model.aspect_scale;const s=[];for(let i=0;i<this._x.length;i++){const r=this._x[i],n=this._y[i];!isNaN(r+n)&&isFinite(r+n)&&s.push({x0:r-t,y0:n-e,x1:r+t,y1:n+e,i})}return new l.SpatialIndex(s)}map_data(){[this.sx,this.sy]=this.map_to_screen(this._x,this._y),[this.svx,this.svy]=this._get_unscaled_vertices()}_get_unscaled_vertices(){const e=this.model.size,t=this.model.aspect_scale;if(\"pointytop\"==this.model.orientation){const s=this.renderer.yscale,i=this.renderer.xscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))/t,o=r/2;return[[0,-n,-n,0,n,n],[r,o,-o,-r,-o,o]]}{const s=this.renderer.xscale,i=this.renderer.yscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))*t,o=r/2;return[[r,o,-o,-r,-o,o],[0,-n,-n,0,n,n]]}}_render(e,t,{sx:s,sy:i,svx:r,svy:n,_scale:o}){for(const a of t)if(!isNaN(s[a]+i[a]+o[a])){e.translate(s[a],i[a]),e.beginPath();for(let t=0;t<6;t++)e.lineTo(r[t]*o[a],n[t]*o[a]);e.closePath(),e.translate(-s[a],-i[a]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,a),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,a),e.stroke())}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s),o=this.index.indices({x0:i,y0:r,x1:i,y1:r}),a=[];for(const e of o)n.point_in_poly(t-this.sx[e],s-this.sy[e],this.svx,this.svy)&&a.push(e);return new c.Selection({indices:a})}_hit_span(e){const{sx:t,sy:s}=e;let i;if(\"v\"==e.direction){const e=this.renderer.yscale.invert(s),t=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(t.start,t.end);i=this.index.indices({x0:r,y0:e,x1:n,y1:e})}else{const e=this.renderer.xscale.invert(t),s=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(s.start,s.end);i=this.index.indices({x0:e,y0:r,x1:e,y1:n})}return new c.Selection({indices:i})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:r}=e,[n,o]=this.renderer.xscale.r_invert(t,s),[a,l]=this.renderer.yscale.r_invert(i,r),h=this.index.indices({x0:n,x1:o,y0:a,y1:l});return new c.Selection({indices:h})}draw_legend_for_index(e,t,s){h.generic_area_legend(this.visuals,e,t,s)}}s.HexTileView=_,_.__name__=\"HexTileView\";class d extends r.Glyph{constructor(e){super(e)}static init_HexTile(){this.prototype.default_view=_,this.coords([[\"r\",\"q\"]]),this.mixins([a.LineVector,a.FillVector]),this.define({size:[o.Number,1],aspect_scale:[o.Number,1],scale:[o.NumberSpec,1],orientation:[o.HexTileOrientation,\"pointytop\"]}),this.override({line_color:null})}}s.HexTile=d,d.__name__=\"HexTile\",d.init_HexTile()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(1),i=e(221),n=e(115),s=_.__importStar(e(18));class r extends i.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,()=>this._update_image())}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.plot_view.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}a.ImageView=r,r.__name__=\"ImageView\";class o extends i.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=r,this.define({color_mapper:[s.Instance,()=>new n.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})}}a.Image=o,o.__name__=\"Image\",o.init_Image()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(84),h=s.__importStar(e(18)),n=e(79),_=e(85),r=e(9),d=e(26);class l extends a.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_render(e,t,{image_data:i,sx:s,sy:a,sw:h,sh:n}){const _=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const _ of t){if(null==i[_]||isNaN(s[_]+a[_]+h[_]+n[_]))continue;const t=a[_];e.translate(0,t),e.scale(1,-1),e.translate(0,-t),e.drawImage(i[_],0|s[_],0|a[_],h[_],n[_]),e.translate(0,t),e.scale(1,-1),e.translate(0,-t)}e.setImageSmoothingEnabled(_)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this._image.length;t<i;t++){if(null!=e&&e.indexOf(t)<0)continue;const i=this._image[t];let s;d.is_NDArray(i)?(s=i,this._height[t]=i.shape[0],this._width[t]=i.shape[1]):(s=r.concat(i),this._height[t]=i.length,this._width[t]=i[0].length);const a=this._flat_img_to_buf8(s);this._set_image_data_from_buffer(t,a)}}_index_data(){const e=[];for(let t=0,i=this._x.length;t<i;t++){const[i,s,a,h]=this._lrtb(t);!isNaN(i+s+a+h)&&isFinite(i+s+a+h)&&e.push({x0:i,y0:h,x1:s,y1:a,i:t})}return new _.SpatialIndex(e)}_lrtb(e){const t=this.renderer.xscale.source_range,i=this._x[e],s=t.is_reversed?i-this._dw[e]:i+this._dw[e],a=this.renderer.yscale.source_range,h=this._y[e],n=a.is_reversed?h-this._dh[e]:h+this._dh[e],[_,r]=i<s?[i,s]:[s,i],[d,l]=h<n?[h,n]:[n,h];return[_,r,l,d]}_set_width_heigh_data(){null!=this.image_data&&this.image_data.length==this._image.length||(this.image_data=new Array(this._image.length)),null!=this._width&&this._width.length==this._image.length||(this._width=new Array(this._image.length)),null!=this._height&&this._height.length==this._image.length||(this._height=new Array(this._image.length))}_get_or_create_canvas(e){const t=this.image_data[e];if(null!=t&&t.width==this._width[e]&&t.height==this._height[e])return t;{const t=document.createElement(\"canvas\");return t.width=this._width[e],t.height=this._height[e],t}}_set_image_data_from_buffer(e,t){const i=this._get_or_create_canvas(e),s=i.getContext(\"2d\"),a=s.getImageData(0,0,this._width[e],this._height[e]);a.data.set(t),s.putImageData(a,0,0),this.image_data[e]=i}_map_data(){switch(this.model.properties.dw.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,this._dw,\"edge\",this.model.dilate);break;case\"screen\":this.sw=this._dw}switch(this.model.properties.dh.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,this._dh,\"edge\",this.model.dilate);break;case\"screen\":this.sh=this._dh}}_image_index(e,t,i){const[s,a,h,n]=this._lrtb(e),_=this._width[e],r=this._height[e],d=(a-s)/_,l=(h-n)/r;let g=Math.floor((t-s)/d),o=Math.floor((i-n)/l);return this.renderer.xscale.source_range.is_reversed&&(g=_-g-1),this.renderer.yscale.source_range.is_reversed&&(o=r-o-1),{index:e,dim1:g,dim2:o,flat_index:o*_+g}}_hit_point(e){const{sx:t,sy:i}=e,s=this.renderer.xscale.invert(t),a=this.renderer.yscale.invert(i),h=this.index.indices({x0:s,x1:s,y0:a,y1:a}),_=new n.Selection;for(const e of h)t!=1/0&&i!=1/0&&_.image_indices.push(this._image_index(e,s,a));return _}}i.ImageBaseView=l,l.__name__=\"ImageBaseView\";class g extends a.XYGlyph{constructor(e){super(e)}static init_ImageBase(){this.define({image:[h.NumberSpec],dw:[h.DistanceSpec],dh:[h.DistanceSpec],dilate:[h.Boolean,!1],global_alpha:[h.Number,1]})}}i.ImageBase=g,g.__name__=\"ImageBase\",g.init_ImageBase()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(221),i=e(8);class n extends _.ImageBaseView{_flat_img_to_buf8(e){let t;return t=i.isArray(e)?new Uint32Array(e):e,new Uint8Array(t.buffer)}}a.ImageRGBAView=n,n.__name__=\"ImageRGBAView\";class r extends _.ImageBase{constructor(e){super(e)}static init_ImageRGBA(){this.prototype.default_view=n}}a.ImageRGBA=r,r.__name__=\"ImageRGBA\",r.init_ImageRGBA()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),a=i.__importStar(e(18)),n=e(12),h=e(85),l=e(224);class _ extends r.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1}initialize(){super.initialize(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_index_data(){return new h.SpatialIndex([])}_set_data(){null!=this.image&&this.image.length==this._url.length||(this.image=n.map(this._url,()=>null));const{retry_attempts:e,retry_timeout:t}=this.model;for(let s=0,i=this._url.length;s<i;s++){const i=this._url[s];null!=i&&\"\"!=i&&new l.ImageLoader(i,{loaded:e=>{this.image[s]=e,this.renderer.request_render()},attempts:e+1,timeout:t})}const s=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,r=this._x.length,a=new Array(s?2*r:r),h=new Array(i?2*r:r);for(let e=0;e<r;e++)a[e]=this._x[e],h[e]=this._y[e];if(s)for(let e=0;e<r;e++)a[r+e]=this._x[e]+this._w[e];if(i)for(let e=0;e<r;e++)h[r+e]=this._y[e]+this._h[e];const _=n.min(a),o=n.max(a),d=n.min(h),c=n.max(h);this._bounds_rect={x0:_,x1:o,y0:d,y1:c}}has_finished(){return super.has_finished()&&1==this._images_rendered}_map_data(){const e=null!=this.model.w?this._w:n.map(this._x,()=>NaN),t=null!=this.model.h?this._h:n.map(this._x,()=>NaN);switch(this.model.properties.w.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,e,\"edge\",this.model.dilate);break;case\"screen\":this.sw=e}switch(this.model.properties.h.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,t,\"edge\",this.model.dilate);break;case\"screen\":this.sh=t}}_render(e,t,{image:s,sx:i,sy:r,sw:a,sh:n,_angle:h}){const{frame:l}=this.renderer.plot_view;e.rect(l._left.value+1,l._top.value+1,l._width.value-2,l._height.value-2),e.clip();let _=!0;for(const l of t){if(isNaN(i[l]+r[l]+h[l]))continue;const t=s[l];null!=t?this._render_image(e,l,t,i,r,a,n,h):_=!1}_&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,i,r){switch(e){case\"top_left\":return[t,s];case\"top_center\":return[t-i/2,s];case\"top_right\":return[t-i,s];case\"center_right\":return[t-i,s-r/2];case\"bottom_right\":return[t-i,s-r];case\"bottom_center\":return[t-i/2,s-r];case\"bottom_left\":return[t,s-r];case\"center_left\":return[t,s-r/2];case\"center\":return[t-i/2,s-r/2]}}_render_image(e,t,s,i,r,a,n,h){isNaN(a[t])&&(a[t]=s.width),isNaN(n[t])&&(n[t]=s.height);const{anchor:l}=this.model,[_,o]=this._final_sx_sy(l,i[t],r[t],a[t],n[t]);e.save(),e.globalAlpha=this.model.global_alpha;const d=a[t]/2,c=n[t]/2;h[t]?(e.translate(_,o),e.translate(d,c),e.rotate(h[t]),e.translate(-d,-c),e.drawImage(s,0,0,a[t],n[t]),e.translate(d,c),e.rotate(-h[t]),e.translate(-d,-c),e.translate(-_,-o)):e.drawImage(s,_,o,a[t],n[t]),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=_,_.__name__=\"ImageURLView\";class o extends r.XYGlyph{constructor(e){super(e)}static init_ImageURL(){this.prototype.default_view=_,this.define({url:[a.StringSpec],anchor:[a.Anchor,\"top_left\"],global_alpha:[a.Number,1],angle:[a.AngleSpec,0],w:[a.DistanceSpec],h:[a.DistanceSpec],dilate:[a.Boolean,!1],retry_attempts:[a.Number,0],retry_timeout:[a.Number,0]})}}s.ImageURL=o,o.__name__=\"ImageURL\",o.init_ImageURL()},\n",
+       "      function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(72);class a{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:a=1}=e;this.promise=new Promise((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const a=`unable to load ${i} image after ${t} attempts`;if(s.logger.warn(a),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());s.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout(()=>this._image.src=i,a)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i})}get finished(){return this._finished}get image(){return this._image}}t.ImageLoader=a,a.__name__=\"ImageLoader\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(85),l=t(23),o=i.__importStar(t(93)),r=t(9),h=t(17),_=t(89),c=t(92),a=t(79);class x extends _.GlyphView{_index_data(){const t=[];for(let e=0,s=this._xs.length;e<s;e++){if(null==this._xs[e]||0===this._xs[e].length)continue;const s=this._xs[e],i=[];for(let t=0,e=s.length;t<e;t++){const e=s[t];isNaN(e)||i.push(e)}const n=this._ys[e],l=[];for(let t=0,e=n.length;t<e;t++){const e=n[t];isNaN(e)||l.push(e)}const[o,h]=[r.min(i),r.max(i)],[_,c]=[r.min(l),r.max(l)];t.push({x0:o,y0:_,x1:h,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sxs:s,sys:i}){for(const n of e){const[e,l]=[s[n],i[n]];this.visuals.line.set_vectorize(t,n);for(let s=0,i=e.length;s<i;s++)0!=s?isNaN(e[s])||isNaN(l[s])?(t.stroke(),t.beginPath()):t.lineTo(e[s],l[s]):(t.beginPath(),t.moveTo(e[s],l[s]));t.stroke()}}_hit_point(t){const e={x:t.sx,y:t.sy};let s=9999;const i=new Map;for(let t=0,n=this.sxs.length;t<n;t++){const n=Math.max(2,this.visuals.line.cache_select(\"line_width\",t)/2);let l=null;for(let i=0,r=this.sxs[t].length-1;i<r;i++){const r={x:this.sxs[t][i],y:this.sys[t][i]},h={x:this.sxs[t][i+1],y:this.sys[t][i+1]},_=o.dist_to_segment(e,r,h);_<n&&_<s&&(s=_,l=[i])}null!=l&&i.set(t,l)}return new a.Selection({indices:[...i.keys()],multiline_indices:h.to_object(i)})}_hit_span(t){const{sx:e,sy:s}=t;let i,n;\"v\"===t.direction?(i=this.renderer.yscale.invert(s),n=this._ys):(i=this.renderer.xscale.invert(e),n=this._xs);const l=new Map;for(let t=0,e=n.length;t<e;t++){const e=[];for(let s=0,l=n[t].length-1;s<l;s++)n[t][s]<=i&&i<=n[t][s+1]&&e.push(s);e.length>0&&l.set(t,e)}return new a.Selection({indices:[...l.keys()],multiline_indices:h.to_object(l)})}get_interpolation_hit(t,e,s){const[i,n,l,o]=[this._xs[t][e],this._ys[t][e],this._xs[t][e+1],this._ys[t][e+1]];return c.line_interpolation(this.renderer,s,i,n,l,o)}draw_legend_for_index(t,e,s){c.generic_line_legend(this.visuals,t,e,s)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}s.MultiLineView=x,x.__name__=\"MultiLineView\";class u extends _.Glyph{constructor(t){super(t)}static init_MultiLine(){this.prototype.default_view=x,this.coords([[\"xs\",\"ys\"]]),this.mixins(l.LineVector)}}s.MultiLine=u,u.__name__=\"MultiLine\",u.init_MultiLine()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(85),r=e(89),o=e(92),l=e(9),h=e(12),_=e(23),a=i.__importStar(e(93)),c=e(79),d=e(8),x=e(11);class y extends r.GlyphView{_index_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++){const i=this._xs[t][s][0],n=this._ys[t][s][0];0!=i.length&&e.push({x0:l.min(i),y0:l.min(n),x1:l.max(i),y1:l.max(n),i:t})}return this.hole_index=this._index_hole_data(),new n.SpatialIndex(e)}_index_hole_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++)if(this._xs[t][s].length>1)for(let i=1,n=this._xs[t][s].length;i<n;i++){const n=this._xs[t][s][i],r=this._ys[t][s][i];0!=n.length&&e.push({x0:l.min(n),y0:l.min(r),x1:l.max(n),y1:l.max(r),i:t})}return new n.SpatialIndex(e)}_mask_data(){const e=this.renderer.plot_view.frame.x_ranges.default,[t,s]=[e.min,e.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:s,y0:n,y1:r}).sort((e,t)=>e-t).filter((e,t,s)=>0===t||e!==s[t-1])}_inner_loop(e,t,s){e.beginPath();for(let i=0,n=t.length;i<n;i++)for(let n=0,r=t[i].length;n<r;n++){const r=t[i][n],o=s[i][n];for(let t=0,s=r.length;t<s;t++)0!=t?e.lineTo(r[t],o[t]):e.moveTo(r[t],o[t]);e.closePath()}}_render(e,t,{sxs:s,sys:i}){if(this.visuals.fill.doit||this.visuals.line.doit)for(const n of t){const[t,r]=[s[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,n),this._inner_loop(e,t,r),e.fill(\"evenodd\")),this.visuals.hatch.doit2(e,n,()=>{this._inner_loop(e,t,r),e.fill(\"evenodd\")},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,n),this._inner_loop(e,t,r),e.stroke())}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],o=[i,i,n,n],[l,h]=this.renderer.xscale.r_invert(t,s),[_,d]=this.renderer.yscale.r_invert(i,n),x=this.index.indices({x0:l,x1:h,y0:_,y1:d}),y=[];for(let e=0,t=x.length;e<t;e++){const t=x[e],s=this.sxs[t],i=this.sys[t];let n=!0;for(let e=0,t=s.length;e<t;e++){for(let t=0,l=s[e][0].length;t<l;t++){const l=s[e][0][t],h=i[e][0][t];if(!a.point_in_poly(l,h,r,o)){n=!1;break}}if(!n)break}n&&y.push(t)}return new c.Selection({indices:y})}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(s),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=this.hole_index.indices({x0:i,y0:n,x1:i,y1:n}),l=[];for(let e=0,i=r.length;e<i;e++){const i=r[e],n=this.sxs[i],h=this.sys[i];for(let e=0,r=n.length;e<r;e++){const r=n[e].length;if(a.point_in_poly(t,s,n[e][0],h[e][0]))if(1==r)l.push(i);else if(-1==o.indexOf(i))l.push(i);else if(r>1){let o=!1;for(let i=1;i<r;i++){const r=n[e][i],l=h[e][i];if(a.point_in_poly(t,s,r,l)){o=!0;break}}o||l.push(i)}}}return new c.Selection({indices:l})}_get_snap_coord(e){return h.sum(e)/e.length}scenterx(e,t,s){if(1==this.sxs[e].length)return this._get_snap_coord(this.sxs[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(i[e][0])}x.unreachable()}scentery(e,t,s){if(1==this.sys[e].length)return this._get_snap_coord(this.sys[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(n[e][0])}x.unreachable()}map_data(){const e=this;for(let[t,s]of this.model._coords){const i=\"s\"+t,n=\"s\"+s;if(t=\"_\"+t,s=\"_\"+s,null!=e[t]&&(d.isArray(e[t][0])||d.isTypedArray(e[t][0]))){const r=e[t].length;e[i]=new Array(r),e[n]=new Array(r);for(let o=0;o<r;o++){const r=e[t][o].length;e[i][o]=new Array(r),e[n][o]=new Array(r);for(let l=0;l<r;l++){const r=e[t][o][l].length;e[i][o][l]=new Array(r),e[n][o][l]=new Array(r);for(let h=0;h<r;h++){const[r,_]=this.map_to_screen(e[t][o][l][h],e[s][o][l][h]);e[i][o][l][h]=r,e[n][o][l][h]=_}}}}}}draw_legend_for_index(e,t,s){o.generic_area_legend(this.visuals,e,t,s)}}s.MultiPolygonsView=y,y.__name__=\"MultiPolygonsView\";class f extends r.Glyph{constructor(e){super(e)}static init_MultiPolygons(){this.prototype.default_view=y,this.coords([[\"xs\",\"ys\"]]),this.mixins([_.LineVector,_.FillVector,_.HatchVector])}}s.MultiPolygons=f,f.__name__=\"MultiPolygons\",f.init_MultiPolygons()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const l=e(216);class s extends l.EllipseOvalView{_map_data(){super._map_data();const{sw:e}=this,t=e.length;for(let a=0;a<t;a++)e[a]*=.75}}a.OvalView=s,s.__name__=\"OvalView\";class _ extends l.EllipseOval{constructor(e){super(e)}static init_Oval(){this.prototype.default_view=s}}a.Oval=_,_.__name__=\"Oval\",_.init_Oval()},\n",
+       "      function _(s,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=s(1),n=s(85),r=s(89),o=s(92),l=s(9),_=s(12),h=s(23),c=i.__importStar(s(93)),a=s(79),d=s(11);class u extends r.GlyphView{_build_discontinuous_object(s){const t=[];for(let e=0,i=s.length;e<i;e++){t[e]=[];let i=l.copy(s[e]);for(;i.length>0;){const s=l.find_last_index(i,s=>isNaN(s));let n;s>=0?n=i.splice(s):(n=i,i=[]);const r=n.filter(s=>!isNaN(s));t[e].push(r)}}return t}_index_data(){const s=this._build_discontinuous_object(this._xs),t=this._build_discontinuous_object(this._ys),e=[];for(let i=0,n=this._xs.length;i<n;i++)for(let n=0,r=s[i].length;n<r;n++){const r=s[i][n],o=t[i][n];0!=r.length&&e.push({x0:l.min(r),y0:l.min(o),x1:l.max(r),y1:l.max(o),i})}return new n.SpatialIndex(e)}_mask_data(){const s=this.renderer.plot_view.frame.x_ranges.default,[t,e]=[s.min,s.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:e,y0:n,y1:r}).sort((s,t)=>s-t)}_inner_loop(s,t,e,i){for(let n=0,r=t.length;n<r;n++)0!=n?isNaN(t[n]+e[n])?(s.closePath(),i.apply(s),s.beginPath()):s.lineTo(t[n],e[n]):(s.beginPath(),s.moveTo(t[n],e[n]));s.closePath(),i.call(s)}_render(s,t,{sxs:e,sys:i}){this.sxss=this._build_discontinuous_object(e),this.syss=this._build_discontinuous_object(i);for(const n of t){const[t,r]=[e[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,n),this._inner_loop(s,t,r,s.fill)),this.visuals.hatch.doit2(s,n,()=>this._inner_loop(s,t,r,s.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),this._inner_loop(s,t,r,s.stroke))}}_hit_rect(s){const{sx0:t,sx1:e,sy0:i,sy1:n}=s,r=[t,e,e,t],o=[i,i,n,n],[l,_]=this.renderer.xscale.r_invert(t,e),[h,d]=this.renderer.yscale.r_invert(i,n),u=this.index.indices({x0:l,x1:_,y0:h,y1:d}),x=[];for(let s=0,t=u.length;s<t;s++){const t=u[s],e=this.sxs[t],i=this.sys[t];let n=!0;for(let s=0,t=e.length;s<t;s++){const t=e[s],l=i[s];if(!c.point_in_poly(t,l,r,o)){n=!1;break}}n&&x.push(t)}return new a.Selection({indices:x})}_hit_point(s){const{sx:t,sy:e}=s,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(e),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=[];for(let s=0,i=r.length;s<i;s++){const i=r[s],n=this.sxss[i],l=this.syss[i];for(let s=0,r=n.length;s<r;s++)c.point_in_poly(t,e,n[s],l[s])&&o.push(i)}return new a.Selection({indices:o})}_get_snap_coord(s){return _.sum(s)/s.length}scenterx(s,t,e){if(1==this.sxss[s].length)return this._get_snap_coord(this.sxs[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(i[s])}d.unreachable()}scentery(s,t,e){if(1==this.syss[s].length)return this._get_snap_coord(this.sys[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(n[s])}d.unreachable()}draw_legend_for_index(s,t,e){o.generic_area_legend(this.visuals,s,t,e)}}e.PatchesView=u,u.__name__=\"PatchesView\";class x extends r.Glyph{constructor(s){super(s)}static init_Patches(){this.prototype.default_view=u,this.coords([[\"xs\",\"ys\"]]),this.mixins([h.LineVector,h.FillVector,h.HatchVector])}}e.Patches=x,x.__name__=\"Patches\",x.init_Patches()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(218);class _ extends i.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._right.length)}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}s.QuadView=_,_.__name__=\"QuadView\";class o extends i.Box{constructor(t){super(t)}static init_Quad(){this.prototype.default_view=_,this.coords([[\"right\",\"bottom\"],[\"left\",\"top\"]])}}s.Quad=o,o.__name__=\"Quad\",o.init_Quad()},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(23),n=t(85),r=t(89),_=t(92);function a(t,i,e){if(i==(t+e)/2)return[t,e];{const s=(t-i)/(t-2*i+e),n=t*(1-s)**2+2*i*(1-s)*s+e*s**2;return[Math.min(t,e,n),Math.max(t,e,n)]}}class c extends r.GlyphView{_index_data(){const t=[];for(let i=0,e=this._x0.length;i<e;i++){if(isNaN(this._x0[i]+this._x1[i]+this._y0[i]+this._y1[i]+this._cx[i]+this._cy[i]))continue;const[e,s]=a(this._x0[i],this._cx[i],this._x1[i]),[n,r]=a(this._y0[i],this._cy[i],this._y1[i]);t.push({x0:e,y0:n,x1:s,y1:r,i})}return new n.SpatialIndex(t)}_render(t,i,{sx0:e,sy0:s,sx1:n,sy1:r,scx:_,scy:a}){if(this.visuals.line.doit)for(const c of i)isNaN(e[c]+s[c]+n[c]+r[c]+_[c]+a[c])||(t.beginPath(),t.moveTo(e[c],s[c]),t.quadraticCurveTo(_[c],a[c],n[c],r[c]),this.visuals.line.set_vectorize(t,c),t.stroke())}draw_legend_for_index(t,i,e){_.generic_line_legend(this.visuals,t,i,e)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}e.QuadraticView=c,c.__name__=\"QuadraticView\";class o extends r.Glyph{constructor(t){super(t)}static init_Quadratic(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx\",\"cy\"]]),this.mixins(s.LineVector)}}e.Quadratic=o,o.__name__=\"Quadratic\",o.init_Quadratic()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),a=e(92),l=e(23),r=s.__importStar(e(18));class _ extends n.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this._length):this.slength=this._length}_render(e,t,{sx:i,sy:s,slength:n,_angle:a}){if(this.visuals.line.doit){const l=2*(this.renderer.plot_view.frame._width.value+this.renderer.plot_view.frame._height.value);for(let e=0,t=n.length;e<t;e++)0==n[e]&&(n[e]=l);for(const l of t)isNaN(i[l]+s[l]+a[l]+n[l])||(e.translate(i[l],s[l]),e.rotate(a[l]),e.beginPath(),e.moveTo(0,0),e.lineTo(n[l],0),this.visuals.line.set_vectorize(e,l),e.stroke(),e.rotate(-a[l]),e.translate(-i[l],-s[l]))}}draw_legend_for_index(e,t,i){a.generic_line_legend(this.visuals,e,t,i)}}i.RayView=_,_.__name__=\"RayView\";class h extends n.XYGlyph{constructor(e){super(e)}static init_Ray(){this.prototype.default_view=_,this.mixins(l.LineVector),this.define({length:[r.DistanceSpec],angle:[r.AngleSpec]})}}i.Ray=h,h.__name__=\"Ray\",h.init_Ray()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(214),a=t(92),r=i.__importStar(t(18)),n=t(12),_=t(79);class l extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this._width,this.renderer.xscale);else{this.sw=this._width;const t=this.sx.length;this.sx0=new Float64Array(t);for(let s=0;s<t;s++)this.sx0[s]=this.sx[s]-this.sw[s]/2}if(\"data\"==this.model.properties.height.units)[this.sh,this.sy1]=this._map_dist_corner_for_data_side_length(this._y,this._height,this.renderer.yscale);else{this.sh=this._height;const t=this.sy.length;this.sy1=new Float64Array(t);for(let s=0;s<t;s++)this.sy1[s]=this.sy[s]-this.sh[s]/2}const t=this.sw.length;this.ssemi_diag=new Float64Array(t);for(let s=0;s<t;s++)this.ssemi_diag[s]=Math.sqrt(this.sw[s]/2*this.sw[s]/2+this.sh[s]/2*this.sh[s]/2)}_render(t,s,{sx:e,sy:i,sx0:h,sy1:a,sw:r,sh:n,_angle:_}){if(this.visuals.fill.doit)for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||(this.visuals.fill.set_vectorize(t,l),_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.fillRect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.fillRect(h[l],a[l],r[l],n[l]));if(this.visuals.line.doit){t.beginPath();for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||0!=r[l]&&0!=n[l]&&(_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.rect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.rect(h[l],a[l],r[l],n[l]),this.visuals.line.set_vectorize(t,l),t.stroke(),t.beginPath());t.stroke()}}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){let{sx:s,sy:e}=t;const i=this.renderer.xscale.invert(s),h=this.renderer.yscale.invert(e),a=[];for(let t=0,s=this.sx0.length;t<s;t++)a.push(this.sx0[t]+this.sw[t]/2);const r=[];for(let t=0,s=this.sy1.length;t<s;t++)r.push(this.sy1[t]+this.sh[t]/2);const l=n.max(this._ddist(0,a,this.ssemi_diag)),o=n.max(this._ddist(1,r,this.ssemi_diag)),d=i-l,c=i+l,x=h-o,y=h+o,f=[];for(const t of this.index.indices({x0:d,x1:c,y0:x,y1:y})){let i,h;if(this._angle[t]){const a=Math.sin(-this._angle[t]),r=Math.cos(-this._angle[t]),n=r*(s-this.sx[t])-a*(e-this.sy[t])+this.sx[t],_=a*(s-this.sx[t])+r*(e-this.sy[t])+this.sy[t];s=n,e=_,h=Math.abs(this.sx[t]-s)<=this.sw[t]/2,i=Math.abs(this.sy[t]-e)<=this.sh[t]/2}else h=s-this.sx0[t]<=this.sw[t]&&s-this.sx0[t]>=0,i=e-this.sy1[t]<=this.sh[t]&&e-this.sy1[t]>=0;i&&h&&f.push(t)}return new _.Selection({indices:f})}_map_dist_corner_for_data_side_length(t,s,e){const i=t.length,h=new Float64Array(i),a=new Float64Array(i);for(let e=0;e<i;e++)h[e]=Number(t[e])-s[e]/2,a[e]=Number(t[e])+s[e]/2;const r=e.v_compute(h),n=e.v_compute(a),_=this.sdist(e,h,s,\"edge\",this.model.dilate);let l=r;for(let t=0,s=r.length;t<s;t++)if(r[t]!=n[t]){l=r[t]<n[t]?r:n;break}return[_,l]}_ddist(t,s,e){const i=0==t?this.renderer.xscale:this.renderer.yscale,h=s,a=h.length,r=new Float64Array(a);for(let t=0;t<a;t++)r[t]=h[t]+e[t];const n=i.v_invert(h),_=i.v_invert(r),l=n.length,o=new Float64Array(l);for(let t=0;t<l;t++)o[t]=Math.abs(_[t]-n[t]);return o}draw_legend_for_index(t,s,e){a.generic_area_legend(this.visuals,t,s,e)}_bounds({x0:t,x1:s,y0:e,y1:i}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:e-this.max_h2,y1:i+this.max_h2}}}e.RectView=l,l.__name__=\"RectView\";class o extends h.CenterRotatable{constructor(t){super(t)}static init_Rect(){this.prototype.default_view=l,this.define({dilate:[r.Boolean,!1]})}}e.Rect=o,o.__name__=\"Rect\",o.init_Rect()},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1).__importStar(e(93)),n=e(23),r=e(85),h=e(89),_=e(92),a=e(79);class c extends h.GlyphView{_index_data(){const e=[];for(let s=0,t=this._x0.length;s<t;s++){const t=this._x0[s],i=this._x1[s],n=this._y0[s],r=this._y1[s];isNaN(t+i+n+r)||e.push({x0:Math.min(t,i),y0:Math.min(n,r),x1:Math.max(t,i),y1:Math.max(n,r),i:s})}return new r.SpatialIndex(e)}_render(e,s,{sx0:t,sy0:i,sx1:n,sy1:r}){if(this.visuals.line.doit)for(const h of s)isNaN(t[h]+i[h]+n[h]+r[h])||(e.beginPath(),e.moveTo(t[h],i[h]),e.lineTo(n[h],r[h]),this.visuals.line.set_vectorize(e,h),e.stroke())}_hit_point(e){const{sx:s,sy:t}=e,n={x:s,y:t},[r,h]=this.renderer.xscale.r_invert(s-2,s+2),[_,c]=this.renderer.yscale.r_invert(t-2,t+2),o=this.index.indices({x0:r,y0:_,x1:h,y1:c}),x=[];for(const e of o){const s=Math.max(2,this.visuals.line.cache_select(\"line_width\",e)/2)**2,t={x:this.sx0[e],y:this.sy0[e]},r={x:this.sx1[e],y:this.sy1[e]};i.dist_to_segment_squared(n,t,r)<s&&x.push(e)}return new a.Selection({indices:x})}_hit_span(e){const[s,t]=this.renderer.plot_view.frame.bbox.ranges,{sx:i,sy:n}=e;let r,h,_;\"v\"==e.direction?(_=this.renderer.yscale.invert(n),[r,h]=[this._y0,this._y1]):(_=this.renderer.xscale.invert(i),[r,h]=[this._x0,this._x1]);const c=[],[o,x]=this.renderer.xscale.r_invert(s.start,s.end),[l,d]=this.renderer.yscale.r_invert(t.start,t.end),y=this.index.indices({x0:o,y0:l,x1:x,y1:d});for(const s of y){(r[s]<=_&&_<=h[s]||h[s]<=_&&_<=r[s])&&c.push(s);const t=1.5+this.visuals.line.cache_select(\"line_width\",s)/2;r[s]==h[s]&&(\"h\"==e.direction?Math.abs(this.sx0[s]-i)<=t&&c.push(s):Math.abs(this.sy0[s]-n)<=t&&c.push(s))}return new a.Selection({indices:c})}scenterx(e){return(this.sx0[e]+this.sx1[e])/2}scentery(e){return(this.sy0[e]+this.sy1[e])/2}draw_legend_for_index(e,s,t){_.generic_line_legend(this.visuals,e,s,t)}}t.SegmentView=c,c.__name__=\"SegmentView\";class o extends h.Glyph{constructor(e){super(e)}static init_Segment(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"]]),this.mixins(n.LineVector)}}t.Segment=o,o.__name__=\"Segment\",o.init_Segment()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(84),o=e(92),r=e(23),l=n.__importStar(e(18));class a extends s.XYGlyphView{_render(e,t,{sx:i,sy:n}){let s=!1,o=null;this.visuals.line.set_value(e);const r=t.length;if(!(r<2)){e.beginPath(),e.moveTo(i[0],n[0]);for(const r of t){let t,l,a,_;switch(this.model.mode){case\"before\":[t,a]=[i[r-1],n[r]],[l,_]=[i[r],n[r]];break;case\"after\":[t,a]=[i[r],n[r-1]],[l,_]=[i[r],n[r]];break;case\"center\":{const e=(i[r-1]+i[r])/2;[t,a]=[e,n[r-1]],[l,_]=[e,n[r]];break}default:throw new Error(\"unexpected\")}if(s){if(!isFinite(i[r]+n[r])){e.stroke(),e.beginPath(),s=!1,o=r;continue}null!=o&&r-o>1&&(e.stroke(),s=!1)}s?(e.lineTo(t,a),e.lineTo(l,_)):(e.beginPath(),e.moveTo(i[r],n[r]),s=!0),o=r}e.lineTo(i[r-1],n[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}}i.StepView=a,a.__name__=\"StepView\";class _ extends s.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=a,this.mixins(r.LineVector),this.define({mode:[l.StepMode,\"before\"]})}}i.Step=_,_.__name__=\"Step\",_.init_Step()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(84),_=t(23),o=i.__importStar(t(93)),h=i.__importStar(t(18)),r=t(132),l=t(11),a=t(79);class c extends n.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,{sx:s,sy:i,_x_offset:n,_y_offset:_,_angle:o,_text:h}){this._sys=[],this._sxs=[];for(const l of e)if(this._sxs[l]=[],this._sys[l]=[],!isNaN(s[l]+i[l]+n[l]+_[l]+o[l])&&null!=h[l]&&this.visuals.text.doit){const e=\"\"+h[l];t.save(),t.translate(s[l]+n[l],i[l]+_[l]),t.rotate(o[l]),this.visuals.text.set_vectorize(t,l);const a=this.visuals.text.cache_select(\"font\",l),{height:c}=r.measure_font(a),x=this.visuals.text.text_line_height.value()*c;if(-1==e.indexOf(\"\\n\")){t.fillText(e,0,0);const o=s[l]+n[l],h=i[l]+_[l],r=t.measureText(e).width,[a,c]=this._text_bounds(o,h,r,x);this._sxs[l].push(a),this._sys[l].push(c)}else{const o=e.split(\"\\n\"),h=x*o.length,r=this.visuals.text.cache_select(\"text_baseline\",l);let a;switch(r){case\"top\":a=0;break;case\"middle\":a=-h/2+x/2;break;case\"bottom\":a=-h+x;break;default:a=0,console.warn(`'${r}' baseline not supported with multi line text`)}for(const e of o){t.fillText(e,0,a);const o=s[l]+n[l],h=a+i[l]+_[l],r=t.measureText(e).width,[c,u]=this._text_bounds(o,h,r,x);this._sxs[l].push(c),this._sys[l].push(u),a+=x}}t.restore()}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t<this._sxs.length;t++){const n=this._sxs[t],_=this._sys[t],h=n.length;for(let r=0,l=h;r<l;r++){const[l,a]=this._rotate_point(e,s,n[h-1][0],_[h-1][0],-this._angle[t]);o.point_in_poly(l,a,n[r],_[r])&&i.push(t)}}return new a.Selection({indices:i})}_scenterxy(t){const e=this._sxs[t],s=this._sys[t];l.assert(0!=e.length&&0!=s.length);const i=e[0][0],n=s[0][0],_=(e[0][2]+i)/2,o=(s[0][2]+n)/2,[h,r]=this._rotate_point(_,o,i,n,this._angle[t]);return{x:h,y:r}}scenterx(t){return this._scenterxy(t).x}scentery(t){return this._scenterxy(t).y}}s.TextView=c,c.__name__=\"TextView\";class x extends n.XYGlyph{constructor(t){super(t)}static init_Text(){this.prototype.default_view=c,this.mixins(_.TextVector),this.define({text:[h.NullStringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,0],y_offset:[h.NumberSpec,0]})}}s.Text=x,x.__name__=\"Text\",x.init_Text()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class o extends h.BoxView{scenterx(t){return this.sx[t]}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._x.length)}_lrtb(t){return[this._x[t]-this._width[t]/2,this._x[t]+this._width[t]/2,Math.max(this._top[t],this._bottom[t]),Math.min(this._top[t],this._bottom[t])]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new Float64Array(t),this.sright=new Float64Array(t);for(let s=0;s<t;s++)this.sleft[s]=this.sx[s]-this.sw[s]/2,this.sright[s]=this.sx[s]+this.sw[s]/2;this._clamp_viewport()}}e.VBarView=o,o.__name__=\"VBarView\";class _ extends h.Box{constructor(t){super(t)}static init_VBar(){this.prototype.default_view=o,this.coords([[\"x\",\"bottom\"]]),this.define({width:[r.NumberSpec],top:[r.CoordinateSpec]}),this.override({bottom:0})}}e.VBar=_,_.__name__=\"VBar\",_.init_VBar()},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),d=e(10),o=e(79);class l extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,s,{sx:t,sy:i,sradius:r,_start_angle:n,_end_angle:a}){const _=this.model.properties.direction.value();for(const d of s)isNaN(t[d]+i[d]+r[d]+n[d]+a[d])||(e.beginPath(),e.arc(t[d],i[d],r[d],n[d],a[d],_),e.lineTo(t[d],i[d]),e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,d),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,d),e.stroke()))}_hit_point(e){let s,t,i,r,n,a,_,l,c;const{sx:h,sy:u}=e,p=this.renderer.xscale.invert(h),x=this.renderer.yscale.invert(u),g=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=p-g,_=p+g,l=x-g,c=x+g):(t=h-g,i=h+g,[a,_]=this.renderer.xscale.r_invert(t,i),r=u-g,n=u+g,[l,c]=this.renderer.yscale.r_invert(r,n));const y=[];for(const e of this.index.indices({x0:a,x1:_,y0:l,y1:c})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(p,this._x[e]),[r,n]=this.renderer.yscale.r_compute(x,this._y[e]),s=(t-i)**2+(r-n)**2,s<=a&&y.push([e,s])}const f=this.model.properties.direction.value(),v=[];for(const[e,s]of y){const t=Math.atan2(u-this.sy[e],h-this.sx[e]);d.angle_between(-t,-this._start_angle[e],-this._end_angle[e],f)&&v.push([e,s])}return o.Selection.from_hits(v)}draw_legend_for_index(e,s,t){n.generic_area_legend(this.visuals,e,s,t)}_scenterxy(e){const s=this.sradius[e]/2,t=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+s*Math.cos(t),y:this.sy[e]+s*Math.sin(t)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}t.WedgeView=l,l.__name__=\"WedgeView\";class c extends r.XYGlyph{constructor(e){super(e)}static init_Wedge(){this.prototype.default_view=l,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}t.Wedge=c,c.__name__=\"Wedge\",c.init_Wedge()},\n",
+       "      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const r=e(1);r.__exportStar(e(101),_),r.__exportStar(e(239),_),r.__exportStar(e(240),_)},\n",
+       "      function _(e,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=e(71);class n extends t.Model{constructor(e){super(e)}}r.LayoutProvider=n,n.__name__=\"LayoutProvider\"},\n",
+       "      function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(1),r=t(239),s=o.__importStar(t(18));class n extends r.LayoutProvider{constructor(t){super(t)}static init_StaticLayoutProvider(){this.define({graph_layout:[s.Any,{}]})}get_node_coordinates(t){const a=[],e=[],o=t.data.index;for(let t=0,r=o.length;t<r;t++){const r=this.graph_layout[o[t]],[s,n]=null!=r?r:[NaN,NaN];a.push(s),e.push(n)}return[a,e]}get_edge_coordinates(t){const a=[],e=[],o=t.data.start,r=t.data.end,s=null!=t.data.xs&&null!=t.data.ys;for(let n=0,u=o.length;n<u;n++){const u=null!=this.graph_layout[o[n]]&&null!=this.graph_layout[r[n]];if(s&&u)a.push(t.data.xs[n]),e.push(t.data.ys[n]);else{let t,s;[s,t]=u?[this.graph_layout[o[n]],this.graph_layout[r[n]]]:[[NaN,NaN],[NaN,NaN]],a.push([s[0],t[0]]),e.push([s[1],t[1]])}}return[a,e]}}e.StaticLayoutProvider=n,n.__name__=\"StaticLayoutProvider\",n.init_StaticLayoutProvider()},\n",
+       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var i=e(242);d.Grid=i.Grid},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),s=e(151),r=n.__importStar(e(23)),_=n.__importStar(e(18)),o=e(8);class a extends s.GuideRendererView{render(){if(!this.model.visible)return;const e=this.layer.ctx;e.save(),this._draw_regions(e),this._draw_minor_grids(e),this._draw_grids(e),e.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render())}_draw_regions(e){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;this.visuals.band_fill.set_value(e);const[i,t]=this.grid_coords(\"major\",!1);for(let n=0;n<i.length-1;n++){if(n%2!=1)continue;const[s,r]=this.plot_view.map_to_screen(i[n],t[n],this.model.x_range_name,this.model.y_range_name),[_,o]=this.plot_view.map_to_screen(i[n+1],t[n+1],this.model.x_range_name,this.model.y_range_name);this.visuals.band_fill.doit&&e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0]),this.visuals.band_hatch.doit2(e,n,()=>{e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0])},()=>this.request_render())}}_draw_grids(e){if(!this.visuals.grid_line.doit)return;const[i,t]=this.grid_coords(\"major\");this._draw_grid_helper(e,this.visuals.grid_line,i,t)}_draw_minor_grids(e){if(!this.visuals.minor_grid_line.doit)return;const[i,t]=this.grid_coords(\"minor\");this._draw_grid_helper(e,this.visuals.minor_grid_line,i,t)}_draw_grid_helper(e,i,t,n){i.set_value(e);for(let i=0;i<t.length;i++){const[s,r]=this.plot_view.map_to_screen(t[i],n[i],this.model.x_range_name,this.model.y_range_name);e.beginPath(),e.moveTo(Math.round(s[0]),Math.round(r[0]));for(let i=1;i<s.length;i++)e.lineTo(Math.round(s[i]),Math.round(r[i]));e.stroke()}}ranges(){const e=this.model.dimension,i=(e+1)%2,t=this.plot_view.frame,n=[t.x_ranges[this.model.x_range_name],t.y_ranges[this.model.y_range_name]];return[n[e],n[i]]}computed_bounds(){const[e]=this.ranges(),i=this.model.bounds,t=[e.min,e.max];let n,s;if(o.isArray(i))n=Math.min(i[0],i[1]),s=Math.max(i[0],i[1]),n<t[0]&&(n=t[0]),s>t[1]&&(s=t[1]);else{[n,s]=t;for(const e of this.plot_view.axis_views)e.dimension==this.model.dimension&&e.model.x_range_name==this.model.x_range_name&&e.model.y_range_name==this.model.y_range_name&&([n,s]=e.computed_bounds)}return[n,s]}grid_coords(e,i=!0){const t=this.model.dimension,n=(t+1)%2,[s,r]=this.ranges();let[_,o]=this.computed_bounds();[_,o]=[Math.min(_,o),Math.max(_,o)];const a=[[],[]],d=this.model.get_ticker();if(null==d)return a;const l=d.get_ticks(_,o,s,r.min,{})[e],h=s.min,m=s.max,c=r.min,u=r.max;i||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=m&&l.push(m));for(let e=0;e<l.length;e++){if((l[e]==h||l[e]==m)&&i)continue;const s=[],r=[],_=2;for(let i=0;i<_;i++){const t=c+(u-c)/(_-1)*i;s.push(l[e]),r.push(t)}a[t].push(s),a[n].push(r)}return a}}t.GridView=a,a.__name__=\"GridView\";class d extends s.GuideRenderer{constructor(e){super(e)}static init_Grid(){this.prototype.default_view=a,this.mixins([[\"grid_\",r.Line],[\"minor_grid_\",r.Line],[\"band_\",r.Fill],[\"band_\",r.Hatch]]),this.define({bounds:[_.Any,\"auto\"],dimension:[_.Any,0],axis:[_.Instance],ticker:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}t.Grid=d,d.__name__=\"Grid\",d.init_Grid()},\n",
+       "      function _(a,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});var e=a(244);r.Box=e.Box;var v=a(247);r.Column=v.Column;var x=a(248);r.GridBox=x.GridBox;var B=a(249);r.HTMLBox=B.HTMLBox;var n=a(245);r.LayoutDOM=n.LayoutDOM;var t=a(250);r.Row=t.Row;var u=a(251);r.Spacer=u.Spacer;var d=a(252);r.Panel=d.Panel,r.Tabs=d.Tabs;var i=a(259);r.WidgetBox=i.WidgetBox},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(245),o=n.__importStar(e(18));class c extends s.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends s.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define({children:[o.Array,[]],spacing:[o.Number,0]})}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(71),l=t(68),n=t(72),h=t(8),a=s.__importStar(t(18)),_=t(99),r=t(66),d=t(246);class u extends r.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval(()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))},250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],()=>this.invalidate_layout()),this.on_change([t.background,t.css_classes],()=>this.invalidate_render())}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map(t=>this._child_views.get(t))}async build_child_views(){await _.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),l.empty(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?t:\"\",l.classes(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_root?this.layout.sizing.margin:void 0;l.position(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build()}build(){return this.assert_root(),this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),n.logger.debug(`layout computed in ${Date.now()-t} ms`),this.notify_finished()}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:a,height:_}=this.model;null!=a&&(o.width=a),null!=_&&(o.height=_);const{max_width:r,max_height:d}=this.model;null!=r&&(o.max_width=r),null!=d&&(o.max_height=d),\"auto\"==e&&null!=a&&null!=_?o.aspect=a/_:h.isNumber(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if(h.isNumber(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:c}=this.model;return h.isArray(c)?[o.halign,o.valign]=c:o.halign=o.valign=c,o}_viewport_size(){return l.undisplayed(this.el,()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(d.bk_root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=l.extents(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=l.extents(t),{width:n,height:h}=t.getBoundingClientRect(),a=Math.ceil(n-i-e),_=Math.ceil(h-s-o);if(a>0||_>0)return{width:a>0?a:void 0,height:_>0?_:void 0}}return{}})}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map(t=>t.serializable_state())})}}e.LayoutDOMView=u,u.__name__=\"LayoutDOMView\";class c extends o.Model{constructor(t){super(t)}static init_LayoutDOM(){this.define({width:[a.Number,null],height:[a.Number,null],min_width:[a.Number,null],min_height:[a.Number,null],max_width:[a.Number,null],max_height:[a.Number,null],margin:[a.Any,[0,0,0,0]],width_policy:[a.Any,\"auto\"],height_policy:[a.Any,\"auto\"],aspect_ratio:[a.Any,null],sizing_mode:[a.SizingMode,null],visible:[a.Boolean,!0],disabled:[a.Boolean,!1],align:[a.Any,\"start\"],background:[a.Color,null],css_classes:[a.Array,[]]})}}e.LayoutDOM=c,c.__name__=\"LayoutDOM\",c.init_LayoutDOM()},\n",
+       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_root=\"bk-root\"},\n",
+       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),n=t(192),l=s.__importStar(t(18));class u extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new n.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class _ extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define({rows:[l.Any,\"auto\"]})}}i.Column=_,_.__name__=\"Column\",_.init_Column()},\n",
+       "      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1),e=t(245),n=t(192),l=o.__importStar(t(18));class r extends e.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children.map(([t])=>t)}_update_layout(){this.layout=new n.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,i,s,o,e]of this.model.children){const n=this._child_views.get(t);this.layout.items.push({layout:n.layout,row:i,col:s,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}s.GridBoxView=r,r.__name__=\"GridBoxView\";class a extends e.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=r,this.define({children:[l.Array,[]],rows:[l.Any,\"auto\"],cols:[l.Any,\"auto\"],spacing:[l.Any,0]})}}s.GridBox=a,a.__name__=\"GridBox\",a.init_GridBox()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(245),_=e(188);class n extends s.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new _.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=n,n.__name__=\"HTMLBoxView\";class i extends s.LayoutDOM{constructor(e){super(e)}}o.HTMLBox=i,i.__name__=\"HTMLBox\"},\n",
+       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),_=t(192),a=s.__importStar(t(18));class n extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new _.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=n,n.__name__=\"RowView\";class l extends e.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=n,this.define({cols:[a.Any,\"auto\"]})}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(245),s=e(188);class _ extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new s.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=_,_.__name__=\"SpacerView\";class o extends i.LayoutDOM{constructor(e){super(e)}static init_Spacer(){this.prototype.default_view=_}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(188),l=e(68),h=e(9),o=i.__importStar(e(18)),c=e(245),d=e(71),r=e(146),n=e(253),_=e(254),b=e(255),p=i.__importDefault(e(256)),u=i.__importDefault(e(257)),m=i.__importDefault(e(258));class v extends c.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,()=>this.rebuild()),this.connect(this.model.properties.active.change,()=>this.on_active_change())}styles(){return[...super.styles(),p.default,u.default,m.default]}get child_models(){return this.model.tabs.map(e=>e.child)}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const a=l.size(s),o=l.children(i).slice(0,3).map(e=>l.size(e)),{width:c,height:d}=super._measure(e);if(t){const t=a.width+h.sum(o.map(e=>e.width));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+h.sum(o.map(e=>e.height));return{width:c,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let o=1,c=1;switch(e){case\"above\":o-=1;break;case\"below\":o+=1;break;case\"left\":c-=1;break;case\"right\":c+=1}const d={layout:this.header,row:o,col:c},r=this.child_views.map(e=>({layout:e.layout,row:1,col:1}));this.layout=new a.Grid([d,...r]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",l.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=l.size(this.scroll_el),i=l.scroll_size(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",l.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",l.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)l.hide(e.el);const h=a[this.model.active];null!=h&&l.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map((t,s)=>{const i=l.div({class:[n.bk_tab,s==e?r.bk_active:null]},t.title);if(i.addEventListener(\"click\",e=>{e.target==e.currentTarget&&this.change_active(s)}),t.closable){const e=l.div({class:n.bk_close});e.addEventListener(\"click\",e=>{if(e.target==e.currentTarget){this.model.tabs=h.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}}),i.appendChild(e)}return i});this.headers_el=l.div({class:[n.bk_headers]},i),this.wrapper_el=l.div({class:n.bk_headers_wrapper},this.headers_el);const a=l.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},l.div({class:[b.bk_caret,r.bk_left]})),o=l.div({class:[_.bk_btn,_.bk_btn_default]},l.div({class:[b.bk_caret,r.bk_right]}));let c=0;const d=e=>()=>{const t=this.model.tabs.length;c=\"left\"==e?Math.max(c-1,0):Math.min(c+1,t-1),0==c?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),c==t-1?o.setAttribute(\"disabled\",\"\"):o.removeAttribute(\"disabled\");const i=l.children(this.headers_el).slice(0,c).map(e=>e.getBoundingClientRect());if(s){const e=-h.sum(i.map(e=>e.width));this.headers_el.style.left=e+\"px\"}else{const e=-h.sum(i.map(e=>e.height));this.headers_el.style.top=e+\"px\"}};a.addEventListener(\"click\",d(\"left\")),o.addEventListener(\"click\",d(\"right\")),this.scroll_el=l.div({class:_.bk_btn_group},a,o),this.header_el=l.div({class:[n.bk_tabs_header,r.bk_side(t)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=l.children(this.headers_el);for(const e of t)e.classList.remove(r.bk_active);t[e].classList.add(r.bk_active);const{child_views:s}=this;for(const e of s)l.hide(e.el);l.show(s[e].el)}}s.TabsView=v,v.__name__=\"TabsView\";class g extends c.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=v,this.define({tabs:[o.Array,[]],tabs_location:[o.Location,\"above\"],active:[o.Number,0]})}}s.Tabs=g,g.__name__=\"Tabs\",g.init_Tabs();class w extends d.Model{constructor(e){super(e)}static init_Panel(){this.define({title:[o.String,\"\"],child:[o.Instance],closable:[o.Boolean,!1]})}}s.Panel=w,w.__name__=\"Panel\",w.init_Panel()},\n",
+       "      function _(e,b,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.bk_tabs_header=\"bk-tabs-header\",a.bk_headers_wrapper=\"bk-headers-wrapper\",a.bk_headers=\"bk-headers\",a.bk_tab=\"bk-tab\",a.bk_close=\"bk-close\"},\n",
+       "      function _(n,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_btn=\"bk-btn\",t.bk_btn_group=\"bk-btn-group\",t.bk_btn_default=\"bk-btn-default\",t.bk_btn_primary=\"bk-btn-primary\",t.bk_btn_success=\"bk-btn-success\",t.bk_btn_warning=\"bk-btn-warning\",t.bk_btn_danger=\"bk-btn-danger\",t.bk_btn_type=function(n){switch(n){case\"default\":return t.bk_btn_default;case\"primary\":return t.bk_btn_primary;case\"success\":return t.bk_btn_success;case\"warning\":return t.bk_btn_warning;case\"danger\":return t.bk_btn_danger}},t.bk_dropdown_toggle=\"bk-dropdown-toggle\"},\n",
+       "      function _(e,b,d){Object.defineProperty(d,\"__esModule\",{value:!0}),d.bk_menu=\"bk-menu\",d.bk_caret=\"bk-caret\",d.bk_divider=\"bk-divider\"},\n",
+       "      function _(n,o,b){Object.defineProperty(b,\"__esModule\",{value:!0});b.default=\"\\n.bk-root .bk-btn {\\n  height: 100%;\\n  display: inline-block;\\n  text-align: center;\\n  vertical-align: middle;\\n  white-space: nowrap;\\n  cursor: pointer;\\n  padding: 6px 12px;\\n  font-size: 12px;\\n  border: 1px solid transparent;\\n  border-radius: 4px;\\n  outline: 0;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-btn:hover,\\n.bk-root .bk-btn:focus {\\n  text-decoration: none;\\n}\\n.bk-root .bk-btn:active,\\n.bk-root .bk-btn.bk-active {\\n  background-image: none;\\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\\n}\\n.bk-root .bk-btn[disabled] {\\n  cursor: not-allowed;\\n  pointer-events: none;\\n  opacity: 0.65;\\n  box-shadow: none;\\n}\\n.bk-root .bk-btn-default {\\n  color: #333;\\n  background-color: #fff;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n  background-color: #f5f5f5;\\n  border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n  background-color: #ebebeb;\\n  border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n  background-color: #e6e6e6;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n  color: #fff;\\n  background-color: #428bca;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n  background-color: #3681c1;\\n  border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n  background-color: #3276b1;\\n  border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n  background-color: #506f89;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n  color: #fff;\\n  background-color: #5cb85c;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n  background-color: #4eb24e;\\n  border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n  background-color: #47a447;\\n  border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n  background-color: #667b66;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n  color: #fff;\\n  background-color: #f0ad4e;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n  background-color: #eea43b;\\n  border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n  background-color: #ed9c28;\\n  border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n  background-color: #c89143;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n  color: #fff;\\n  background-color: #d9534f;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n  background-color: #d5433e;\\n  border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n  background-color: #d2322d;\\n  border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n  background-color: #a55350;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n  height: 100%;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n  margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n  border-bottom-right-radius: 0;\\n  border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n  border-bottom-left-radius: 0;\\n  border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n  border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n  flex: 0 0 0;\\n  -webkit-flex: 0 0 0;\\n  padding: 6px 6px;\\n}\\n\"},\n",
+       "      function _(n,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});r.default=\"\\n.bk-root .bk-menu-icon {\\n  width: 28px;\\n  height: 28px;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-context-menu {\\n  position: absolute;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n  width: auto;\\n  height: auto;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-context-menu.bk-horizontal {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-context-menu.bk-vertical {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-context-menu > .bk-divider {\\n  cursor: default;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > .bk-divider {\\n  width: 1px;\\n  margin: 5px 0;\\n}\\n.bk-root .bk-context-menu.bk-vertical > .bk-divider {\\n  height: 1px;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider) {\\n  border: 1px solid transparent;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider).bk-active {\\n  border-color: #26aae1;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider):hover {\\n  background-color: #f9f9f9;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-bottom-left-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child {\\n  border-top-right-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-top-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child {\\n  border-bottom-left-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-menu {\\n  position: absolute;\\n  left: 0;\\n  width: 100%;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n  bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n  top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n  height: 1px;\\n  margin: 7.5px 0;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n  padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n  background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n  display: inline-block;\\n  vertical-align: middle;\\n  width: 0;\\n  height: 0;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-caret.bk-down {\\n  border-top: 4px solid;\\n}\\n.bk-root .bk-caret.bk-up {\\n  border-bottom: 4px solid;\\n}\\n.bk-root .bk-caret.bk-down,\\n.bk-root .bk-caret.bk-up {\\n  border-right: 4px solid transparent;\\n  border-left: 4px solid transparent;\\n}\\n.bk-root .bk-caret.bk-left {\\n  border-right: 4px solid;\\n}\\n.bk-root .bk-caret.bk-right {\\n  border-left: 4px solid;\\n}\\n.bk-root .bk-caret.bk-left,\\n.bk-root .bk-caret.bk-right {\\n  border-top: 4px solid transparent;\\n  border-bottom: 4px solid transparent;\\n}\\n\"},\n",
+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default='\\n.bk-root .bk-tabs-header {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  overflow: hidden;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group {\\n  height: auto;\\n  margin-right: 5px;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group > .bk-btn {\\n  flex-grow: 0;\\n  -webkit-flex-grow: 0;\\n  height: auto;\\n  padding: 4px 4px;\\n}\\n.bk-root .bk-tabs-header .bk-headers-wrapper {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  overflow: hidden;\\n  color: #666666;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper {\\n  border-bottom: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper {\\n  border-left: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper {\\n  border-top: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper {\\n  border-right: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-above,\\n.bk-root .bk-tabs-header.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers,\\n.bk-root .bk-tabs-header.bk-below .bk-headers {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-left,\\n.bk-root .bk-tabs-header.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers,\\n.bk-root .bk-tabs-header.bk-right .bk-headers {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header .bk-headers {\\n  position: relative;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n}\\n.bk-root .bk-tabs-header .bk-tab {\\n  padding: 4px 8px;\\n  border: solid transparent;\\n  white-space: nowrap;\\n  cursor: pointer;\\n}\\n.bk-root .bk-tabs-header .bk-tab:hover {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .bk-tabs-header .bk-tab.bk-active {\\n  color: #4d4d4d;\\n  background-color: white;\\n  border-color: #e6e6e6;\\n}\\n.bk-root .bk-tabs-header .bk-tab .bk-close {\\n  margin-left: 10px;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-tab {\\n  border-width: 3px 1px 0px 1px;\\n  border-radius: 4px 4px 0 0;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-tab {\\n  border-width: 1px 3px 1px 0px;\\n  border-radius: 0 4px 4px 0;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-tab {\\n  border-width: 0px 1px 3px 1px;\\n  border-radius: 0 0 4px 4px;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-tab {\\n  border-width: 1px 0px 1px 3px;\\n  border-radius: 4px 0 0 4px;\\n}\\n.bk-root .bk-close {\\n  display: inline-block;\\n  width: 10px;\\n  height: 10px;\\n  vertical-align: middle;\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"gray\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"gray\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n.bk-root .bk-close:hover {\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"red\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"red\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n'},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(247);class _ extends o.ColumnView{}i.WidgetBoxView=_,_.__name__=\"WidgetBoxView\";class n extends o.Column{constructor(e){super(e)}static init_WidgetBox(){this.prototype.default_view=_}}i.WidgetBox=n,n.__name__=\"WidgetBox\",n.init_WidgetBox()},\n",
+       "      function _(r,a,o){Object.defineProperty(o,\"__esModule\",{value:!0});var e=r(261);o.CategoricalColorMapper=e.CategoricalColorMapper;var p=r(263);o.CategoricalMarkerMapper=p.CategoricalMarkerMapper;var l=r(264);o.CategoricalPatternMapper=l.CategoricalPatternMapper;var C=r(116);o.ContinuousColorMapper=C.ContinuousColorMapper;var M=r(117);o.ColorMapper=M.ColorMapper;var t=r(115);o.LinearColorMapper=t.LinearColorMapper;var i=r(265);o.LogColorMapper=i.LogColorMapper},\n",
+       "      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),a=r(262),c=r(117),i=o.__importStar(r(18));class s extends c.ColorMapper{constructor(r){super(r)}static init_CategoricalColorMapper(){this.define({factors:[i.Array],start:[i.Number,0],end:[i.Number]})}_v_compute(r,t,e,{nan_color:o}){a.cat_v_compute(r,this.factors,e,t,this.start,this.end,o)}}e.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(12),i=e(8);function u(e,n){if(e.length!=n.length)return!1;for(let t=0,l=e.length;t<l;t++)if(e[t]!==n[t])return!1;return!0}t._cat_equals=u,t.cat_v_compute=function(e,n,t,c,f,o,r){for(let _=0,g=e.length;_<g;_++){let g,s,d=e[_];i.isString(d)?g=l.index_of(n,d):(null!=f?d=null!=o?d.slice(f,o):d.slice(f):null!=o&&(d=d.slice(0,o)),g=1==d.length?l.index_of(n,d[0]):l.find_index(n,e=>u(e,d))),s=g<0||g>=t.length?r:t[g],c[_]=s}}},\n",
+       "      function _(r,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const t=r(1),s=r(262),i=r(118),c=t.__importStar(r(18));class n extends i.Mapper{constructor(r){super(r)}static init_CategoricalMarkerMapper(){this.define({factors:[c.Array],markers:[c.Array],start:[c.Number,0],end:[c.Number],default_value:[c.MarkerType,\"circle\"]})}v_compute(r){const e=new Array(r.length);return s.cat_v_compute(r,this.factors,this.markers,e,this.start,this.end,this.default_value),e}}a.CategoricalMarkerMapper=n,n.__name__=\"CategoricalMarkerMapper\",n.init_CategoricalMarkerMapper()},\n",
+       "      function _(t,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=t(1),n=t(262),s=t(118),i=r.__importStar(t(18));class c extends s.Mapper{constructor(t){super(t)}static init_CategoricalPatternMapper(){this.define({factors:[i.Array],patterns:[i.Array],start:[i.Number,0],end:[i.Number],default_value:[i.HatchPatternType,\" \"]})}v_compute(t){const e=new Array(t.length);return n.cat_v_compute(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=c,c.__name__=\"CategoricalPatternMapper\",c.init_CategoricalPatternMapper()},\n",
+       "      function _(o,l,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=o(116),e=o(12);class i extends t.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,l,n,t){const{nan_color:i,low_color:h,high_color:c}=t,r=n.length,s=null!=this.low?this.low:e.min(o),u=null!=this.high?this.high:e.max(o),a=r/(Math.log(u)-Math.log(s)),g=n.length-1;for(let t=0,e=o.length;t<e;t++){const e=o[t];if(isNaN(e)){l[t]=i;continue}if(e>u){l[t]=null!=c?c:n[g];continue}if(e==u){l[t]=n[g];continue}if(e<s){l[t]=null!=h?h:n[0];continue}const r=Math.log(e)-Math.log(s);let _=Math.floor(r*a);_>g&&(_=g),l[t]=n[_]}}}n.LogColorMapper=i,i.__name__=\"LogColorMapper\"},\n",
+       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0}),e(1).__exportStar(e(267),t);var a=e(268);t.Marker=a.Marker;var _=e(269);t.Scatter=_.Scatter},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(268),r=Math.sqrt(3);function n(e,t){e.rotate(Math.PI/4),c(e,t),e.rotate(-Math.PI/4)}function s(e,t){const o=t*r,i=o/3;e.moveTo(-o/2,-i),e.lineTo(0,0),e.lineTo(o/2,-i),e.lineTo(0,0),e.lineTo(0,t)}function c(e,t){e.moveTo(0,t),e.lineTo(0,-t),e.moveTo(-t,0),e.lineTo(t,0)}function l(e,t){e.moveTo(0,t),e.lineTo(t/1.5,0),e.lineTo(0,-t),e.lineTo(-t/1.5,0),e.closePath()}function a(e,t){const o=t*r,i=o/3;e.moveTo(-t,i),e.lineTo(t,i),e.lineTo(0,i-o),e.closePath()}function u(e,t,o,i,r){c(e,o),n(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function d(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function v(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),c(e,o),e.stroke())}function _(e,t,o,i,r){d(e,t,o,i,r),m(e,t,o,i,r)}function f(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),s(e,o),e.stroke())}function T(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),n(e,o),e.stroke())}function z(e,t,o,i,r){c(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function k(e,t,o,i,r){l(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function C(e,t,o,i,r){l(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.moveTo(0,o),e.lineTo(0,-o),e.moveTo(-o/1.5,0),e.lineTo(o/1.5,0),e.stroke())}function h(e,t,o,i,r){k(e,t,o,i,r),m(e,t,o,i,r)}function m(e,t,o,i,r){!function(e,t){e.beginPath(),e.arc(0,0,t/4,0,2*Math.PI,!1),e.closePath()}(e,o),i.set_vectorize(e,t),e.fillStyle=e.strokeStyle,e.fill()}function P(e,t,o,i,n){!function(e,t){const o=t/2,i=r*o;e.moveTo(t,0),e.lineTo(o,-i),e.lineTo(-o,-i),e.lineTo(-t,0),e.lineTo(-o,i),e.lineTo(o,i),e.closePath()}(e,o),n.doit&&(n.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function q(e,t,o,i,r){P(e,t,o,i,r),m(e,t,o,i)}function D(e,t,o,i,r){e.rotate(Math.PI),a(e,o),e.rotate(-Math.PI),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function g(e,t,o,i,r){const n=3*o/8,s=[n,n,o,o,n,n,-n,-n,-o,-o,-n,-n],c=[o,n,n,-n,-n,-o,-o,-n,-n,n,n,o];for(e.moveTo(s[0],c[0]),t=1;t<12;t++)e.lineTo(s[t],c[t]);e.closePath(),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function M(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function S(e,t,o,i,r){const n=3*o/8;e.moveTo(-o,-o),e.quadraticCurveTo(0,-n,o,-o),e.quadraticCurveTo(n,0,o,o),e.quadraticCurveTo(0,n,-o,o),e.quadraticCurveTo(-n,0,-o,-o),e.closePath(),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function x(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),c(e,o),e.stroke())}function I(e,t,o,i,r){M(e,t,o,i,r),m(e,t,o,i)}function p(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.moveTo(-o,o),e.lineTo(o,-o),e.moveTo(-o,-o),e.lineTo(o,o),e.stroke())}function y(e,t,o,i,r){a(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function X(e,t,o,i,r){y(e,t,o,i,r),m(e,t,o,i)}function H(e,t,o,i,n){const s=o*r,c=s/3,l=3*c/8;e.moveTo(-o,c),e.quadraticCurveTo(0,l,o,c),e.quadraticCurveTo(r*l/2,l/2,0,c-s),e.quadraticCurveTo(-r*l/2,l/2,-o,c),e.closePath(),n.doit&&(n.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function Y(e,t,o,i,r){!function(e,t){e.moveTo(-t,0),e.lineTo(t,0)}(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function b(e,t,o,i,r){n(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function w(e,t,o,i,r){s(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function A(e,t){var o;const r=class extends i.MarkerView{static initClass(){this.prototype._render_one=t}};r.initClass();const n=((o=class extends i.Marker{static initClass(){this.prototype.default_view=r}}).__name__=e,o);return n.initClass(),n}o.Asterisk=A(\"Asterisk\",u),o.CircleCross=A(\"CircleCross\",v),o.CircleDot=A(\"CircleDot\",_),o.CircleY=A(\"CircleY\",f),o.CircleX=A(\"CircleX\",T),o.Cross=A(\"Cross\",z),o.Dash=A(\"Dash\",Y),o.Diamond=A(\"Diamond\",k),o.DiamondCross=A(\"DiamondCross\",C),o.DiamondDot=A(\"DiamondDot\",h),o.Dot=A(\"Dot\",m),o.Hex=A(\"Hex\",P),o.HexDot=A(\"HexDot\",q),o.InvertedTriangle=A(\"InvertedTriangle\",D),o.Plus=A(\"Plus\",g),o.Square=A(\"Square\",M),o.SquareCross=A(\"SquareCross\",x),o.SquareDot=A(\"SquareDot\",I),o.SquarePin=A(\"SquarePin\",S),o.SquareX=A(\"SquareX\",p),o.Triangle=A(\"Triangle\",y),o.TriangleDot=A(\"TriangleDot\",X),o.TrianglePin=A(\"TrianglePin\",H),o.X=A(\"X\",b),o.Y=A(\"Y\",w),o.marker_funcs={asterisk:u,circle:d,circle_cross:v,circle_dot:_,circle_y:f,circle_x:T,cross:z,diamond:k,diamond_dot:h,diamond_cross:C,dot:m,hex:P,hex_dot:q,inverted_triangle:D,plus:g,square:M,square_cross:x,square_dot:I,square_pin:S,square_x:p,triangle:y,triangle_dot:X,triangle_pin:H,dash:Y,x:b,y:w}},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(23),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(9),c=e(79);class o extends r.XYGlyphView{_render(e,s,{sx:t,sy:i,_size:r,_angle:n}){for(const a of s){if(isNaN(t[a]+i[a]+r[a]+n[a]))continue;const s=r[a]/2;e.beginPath(),e.translate(t[a],i[a]),n[a]&&e.rotate(n[a]),this._render_one(e,a,s,this.visuals.line,this.visuals.fill),n[a]&&e.rotate(-n[a]),e.translate(-t[a],-i[a])}}_mask_data(){const e=this.renderer.plot_view.frame.bbox.h_range,s=e.start-this.max_size,t=e.end+this.max_size,[i,r]=this.renderer.xscale.r_invert(s,t),n=this.renderer.plot_view.frame.bbox.v_range,a=n.start-this.max_size,_=n.end+this.max_size,[h,c]=this.renderer.yscale.r_invert(a,_);return this.index.indices({x0:i,x1:r,y0:h,y1:c})}_hit_point(e){const{sx:s,sy:t}=e,i=s-this.max_size,r=s+this.max_size,[n,a]=this.renderer.xscale.r_invert(i,r),_=t-this.max_size,h=t+this.max_size,[o,x]=this.renderer.yscale.r_invert(_,h),l=this.index.indices({x0:n,x1:a,y0:o,y1:x}),d=[];for(const e of l){const i=this._size[e]/2,r=Math.abs(this.sx[e]-s)+Math.abs(this.sy[e]-t);Math.abs(this.sx[e]-s)<=i&&Math.abs(this.sy[e]-t)<=i&&d.push([e,r])}return c.Selection.from_hits(d)}_hit_span(e){const{sx:s,sy:t}=e,i=this.bounds(),r=this.max_size/2;let n,a,_,h;if(\"h\"==e.direction){_=i.y0,h=i.y1;const e=s-r,t=s+r;[n,a]=this.renderer.xscale.r_invert(e,t)}else{n=i.x0,a=i.x1;const e=t-r,s=t+r;[_,h]=this.renderer.yscale.r_invert(e,s)}const o=this.index.indices({x0:n,x1:a,y0:_,y1:h});return new c.Selection({indices:o})}_hit_rect(e){const{sx0:s,sx1:t,sy0:i,sy1:r}=e,[n,a]=this.renderer.xscale.r_invert(s,t),[_,h]=this.renderer.yscale.r_invert(i,r),o=this.index.indices({x0:n,x1:a,y0:_,y1:h});return new c.Selection({indices:o})}_hit_poly(e){const{sx:s,sy:t}=e,i=h.range(0,this.sx.length),r=[];for(let e=0,n=i.length;e<n;e++){const n=i[e];a.point_in_poly(this.sx[e],this.sy[e],s,t)&&r.push(n)}return new c.Selection({indices:r})}draw_legend_for_index(e,{x0:s,x1:t,y0:i,y1:r},n){const a=n+1,_=new Array(a);_[n]=(s+t)/2;const h=new Array(a);h[n]=(i+r)/2;const c=new Array(a);c[n]=.4*Math.min(Math.abs(t-s),Math.abs(r-i));const o=new Array(a);o[n]=0,this._render(e,[n],{sx:_,sy:h,_size:c,_angle:o})}}t.MarkerView=o,o.__name__=\"MarkerView\";class x extends r.XYGlyph{constructor(e){super(e)}static init_Marker(){this.mixins([n.LineVector,n.FillVector]),this.define({size:[_.DistanceSpec,{units:\"screen\",value:4}],angle:[_.AngleSpec,0]})}}t.Marker=x,x.__name__=\"Marker\",x.init_Marker()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=e(1),s=e(268),n=e(267),i=a.__importStar(e(18));class _ extends s.MarkerView{_render(e,t,{sx:r,sy:a,_size:s,_angle:i,_marker:_}){for(const c of t){if(isNaN(r[c]+a[c]+s[c]+i[c])||null==_[c])continue;const t=s[c]/2;e.beginPath(),e.translate(r[c],a[c]),i[c]&&e.rotate(i[c]),n.marker_funcs[_[c]](e,c,t,this.visuals.line,this.visuals.fill),i[c]&&e.rotate(-i[c]),e.translate(-r[c],-a[c])}}draw_legend_for_index(e,{x0:t,x1:r,y0:a,y1:s},n){const i=n+1,_=new Array(i);_[n]=(t+r)/2;const c=new Array(i);c[n]=(a+s)/2;const o=new Array(i);o[n]=.4*Math.min(Math.abs(r-t),Math.abs(s-a));const l=new Array(i);l[n]=0;const u=new Array(i);u[n]=this._marker[n],this._render(e,[n],{sx:_,sy:c,_size:o,_angle:l,_marker:u})}}r.ScatterView=_,_.__name__=\"ScatterView\";class c extends s.Marker{constructor(e){super(e)}static init_Scatter(){this.prototype.default_view=_,this.define({marker:[i.MarkerSpec,{value:\"circle\"}]})}}r.Scatter=c,c.__name__=\"Scatter\",c.init_Scatter()},\n",
+       "      function _(a,o,p){Object.defineProperty(p,\"__esModule\",{value:!0});var t=a(271);p.MapOptions=t.MapOptions;var e=a(271);p.GMapOptions=e.GMapOptions;var n=a(271);p.GMapPlot=n.GMapPlot;var M=a(272);p.Plot=M.Plot},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),n=t(72),a=t(272),s=o.__importStar(t(18)),p=t(71),r=t(131),_=t(296);i.GMapPlotView=_.GMapPlotView;class l extends p.Model{constructor(t){super(t)}static init_MapOptions(){this.define({lat:[s.Number],lng:[s.Number],zoom:[s.Number,12]})}}i.MapOptions=l,l.__name__=\"MapOptions\",l.init_MapOptions();class c extends l{constructor(t){super(t)}static init_GMapOptions(){this.define({map_type:[s.String,\"roadmap\"],scale_control:[s.Boolean,!1],styles:[s.String],tilt:[s.Int,45]})}}i.GMapOptions=c,c.__name__=\"GMapOptions\",c.init_GMapOptions();class u extends a.Plot{constructor(t){super(t)}static init_GMapPlot(){this.prototype.default_view=_.GMapPlotView,this.define({map_options:[s.Instance],api_key:[s.String]}),this.override({x_range:()=>new r.Range1d,y_range:()=>new r.Range1d})}initialize(){super.initialize(),this.use_map=!0,this.api_key||n.logger.error(\"api_key is required. See https://developers.google.com/maps/documentation/javascript/get-api-key for more information on how to obtain your own.\")}}i.GMapPlot=u,u.__name__=\"GMapPlot\",u.init_GMapPlot()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),o=i.__importStar(e(23)),n=i.__importStar(e(18)),s=e(14),a=e(9),l=e(17),_=e(8),h=e(245),c=e(142),u=e(120),d=e(273),b=e(76),g=e(81),p=e(186),m=e(290);r.PlotView=m.PlotView;class f extends h.LayoutDOM{constructor(e){super(e)}static init_Plot(){this.prototype.default_view=m.PlotView,this.mixins([[\"outline_\",o.Line],[\"background_\",o.Fill],[\"border_\",o.Fill]]),this.define({toolbar:[n.Instance,()=>new d.Toolbar],toolbar_location:[n.Location,\"right\"],toolbar_sticky:[n.Boolean,!0],plot_width:[n.Number,600],plot_height:[n.Number,600],frame_width:[n.Number,null],frame_height:[n.Number,null],title:[n.Any,()=>new c.Title({text:\"\"})],title_location:[n.Location,\"above\"],above:[n.Array,[]],below:[n.Array,[]],left:[n.Array,[]],right:[n.Array,[]],center:[n.Array,[]],renderers:[n.Array,[]],x_range:[n.Instance,()=>new p.DataRange1d],extra_x_ranges:[n.Any,{}],y_range:[n.Instance,()=>new p.DataRange1d],extra_y_ranges:[n.Any,{}],x_scale:[n.Instance,()=>new u.LinearScale],y_scale:[n.Instance,()=>new u.LinearScale],lod_factor:[n.Number,10],lod_interval:[n.Number,300],lod_threshold:[n.Number,2e3],lod_timeout:[n.Number,500],hidpi:[n.Boolean,!0],output_backend:[n.OutputBackend,\"canvas\"],min_border:[n.Number,5],min_border_top:[n.Number,null],min_border_left:[n.Number,null],min_border_bottom:[n.Number,null],min_border_right:[n.Number,null],inner_width:[n.Number],inner_height:[n.Number],outer_width:[n.Number],outer_height:[n.Number],match_aspect:[n.Boolean,!1],aspect_scale:[n.Number,1],reset_policy:[n.ResetPolicy,\"standard\"]}),this.override({outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})}get width(){const e=this.properties.width.get_value();return null!=e?e:this.plot_width}set width(e){this.setv({width:e,plot_width:e})}get height(){const e=this.properties.height.get_value();return null!=e?e:this.plot_height}set height(e){this.setv({height:e,plot_height:e})}_doc_attached(){super._doc_attached(),this._push_changes([[this.properties.inner_height,null,this.inner_height],[this.properties.inner_width,null,this.inner_width]])}initialize(){super.initialize(),this.reset=new s.Signal0(this,\"reset\");for(const e of l.values(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;_.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of l.values(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;_.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const r=this.properties[t].get_value();this.setv({[t]:[...r,e]})}remove_layout(e){const t=t=>{a.remove_by(t,t=>t==e)};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new b.ColumnDataSource,r={}){const i=Object.assign(Object.assign({},r),{data_source:t,glyph:e}),o=new g.GlyphRenderer(i);return this.add_renderers(o),o}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return[...this.side_panels,...this.center]}get side_panels(){const{above:e,below:t,left:r,right:i}=this;return a.concat([e,t,r,i])}}r.Plot=f,f.__name__=\"Plot\",f.init_Plot()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),c=t(8),o=t(9),n=t(274),a=t(283),l=t=>{switch(t){case\"tap\":return\"active_tap\";case\"pan\":return\"active_drag\";case\"pinch\":case\"scroll\":return\"active_scroll\";case\"multi\":return\"active_multi\"}return null},r=t=>\"tap\"==t||\"pan\"==t;class _ extends a.ToolbarBase{constructor(t){super(t)}static init_Toolbar(){this.prototype.default_view=a.ToolbarBaseView,this.define({active_drag:[i.Any,\"auto\"],active_inspect:[i.Any,\"auto\"],active_scroll:[i.Any,\"auto\"],active_tap:[i.Any,\"auto\"],active_multi:[i.Any,null]})}connect_signals(){super.connect_signals();const{tools:t,active_drag:s,active_inspect:e,active_scroll:i,active_tap:c,active_multi:o}=this.properties;this.on_change([t,s,e,i,c,o],()=>this._init_tools())}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof n.InspectTool){let t=!1;for(const s of this.inspectors)s!=this.active_inspect?s.active=!1:t=!0;t||(this.active_inspect=null)}else if(c.isArray(this.active_inspect)){const t=o.intersection(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)o.includes(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t in this.gestures){const s=this.gestures[t];s.tools=o.sort_by(s.tools,t=>t.default_order);for(const t of s.tools)this.connect(t.properties.active.change,()=>this._active_change(t))}for(const s in this.gestures){const e=l(s);if(e){const i=this[e];if(\"auto\"==i){const e=this.gestures[s];0!=e.tools.length&&r(s)&&t(e.tools[0])}else null!=i&&(o.includes(this.tools,i)?t(i):this[e]=null)}}}}e.Toolbar=_,_.__name__=\"Toolbar\",_.init_Toolbar()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(1),s=e(275),i=e(282),_=n.__importStar(e(18));class c extends s.ButtonToolView{}o.InspectToolView=c,c.__name__=\"InspectToolView\";class l extends s.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}static init_InspectTool(){this.prototype.button_view=i.OnOffButtonView,this.define({toggleable:[_.Boolean,!0]}),this.override({active:!0})}}o.InspectTool=l,l.__name__=\"InspectTool\",l.init_InspectTool()},\n",
+       "      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),s=i.__importDefault(t(276)),n=t(66),l=t(277),r=t(68),a=i.__importStar(t(18)),u=t(24),_=t(8),h=t(9),c=t(278),m=i.__importDefault(t(279)),d=i.__importDefault(t(280)),p=i.__importDefault(t(257)),f=t(281);class g extends n.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,i=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new f.ContextMenu(o?h.reversed(t):t,{orientation:i,prevent_hide:t=>t.target==this.el})}this._hammer=new s.default(this.el,{touchAction:\"auto\",inputClass:s.default.TouchMouseInput}),this.connect(this.model.change,()=>this.render()),this._hammer.on(\"tap\",t=>{var e;(null===(e=this._menu)||void 0===e?void 0:e.is_open)?this._menu.hide():t.target==this.el&&this._clicked()}),this._hammer.on(\"press\",()=>this._pressed())}remove(){var t;this._hammer.destroy(),null===(t=this._menu)||void 0===t||t.remove(),super.remove()}styles(){return[...super.styles(),m.default,d.default,p.default]}css_classes(){return super.css_classes().concat(c.bk_toolbar_button)}render(){r.empty(this.el);const t=this.model.computed_icon;_.isString(t)&&(u.startsWith(t,\"data:image\")?this.el.style.backgroundImage=\"url('\"+t+\"')\":this.el.classList.add(t)),this.el.title=this.model.tooltip,null!=this._menu&&this.root.el.appendChild(this._menu.el)}_pressed(){var t;const{left:e,top:o,right:i,bottom:s}=this.el.getBoundingClientRect(),n=(()=>{switch(this.parent.model.toolbar_location){case\"right\":return{right:e,top:o};case\"left\":return{left:i,top:o};case\"above\":return{left:e,top:s};case\"below\":return{left:e,bottom:o}}})();null===(t=this._menu)||void 0===t||t.toggle(n)}}o.ButtonToolButtonView=g,g.__name__=\"ButtonToolButtonView\";class v extends l.ToolView{}o.ButtonToolView=v,v.__name__=\"ButtonToolView\";class b extends l.Tool{constructor(t){super(t)}static init_ButtonTool(){this.internal({disabled:[a.Boolean,!1]})}get tooltip(){return this.tool_name}get computed_icon(){return this.icon}get menu(){return null}}o.ButtonTool=b,b.__name__=\"ButtonTool\",b.init_ButtonTool()},\n",
+       "      function _(t,e,n){\n",
+       "      /*! Hammer.JS - v2.0.7 - 2016-04-22\n",
+       "           * http://hammerjs.github.io/\n",
+       "           *\n",
+       "           * Copyright (c) 2016 Jorik Tangelder;\n",
+       "           * Licensed under the MIT license */\n",
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i(n){e.manager.emit(n,t)}n<8&&i(e.options.event+ft(n)),i(e.options.event),t.additionalEvent&&i(t.additionalEvent),n>=8&&i(e.options.event+ft(n))},tryEmit:function(t){if(this.canEmit())return this.emit(t);this.state=32},canEmit:function(){for(var t=0;t<this.requireFail.length;){if(!(33&this.requireFail[t].state))return!1;t++}return!0},recognize:function(t){var e=s({},t);if(!T(this.options.enable,[this,e]))return this.reset(),void(this.state=32);56&this.state&&(this.state=1),this.state=this.process(e),30&this.state&&this.tryEmit(e)},process:function(t){},getTouchAction:function(){},reset:function(){}},g(mt,pt,{defaults:{pointers:1},attrTest:function(t){var e=this.options.pointers;return 0===e||t.pointers.length===e},process:function(t){var e=this.state,n=t.eventType,i=6&e,r=this.attrTest(t);return i&&(8&n||!r)?16|e:i||r?4&n?8|e:2&e?4|e:2:32}}),g(gt,mt,{defaults:{event:\"pan\",threshold:10,pointers:1,direction:30},getTouchAction:function(){var t=this.options.direction,e=[];return 6&t&&e.push(\"pan-y\"),24&t&&e.push(\"pan-x\"),e},directionTest:function(t){var e=this.options,n=!0,i=t.distance,r=t.direction,s=t.deltaX,o=t.deltaY;return r&e.direction||(6&e.direction?(r=0===s?1:s<0?2:4,n=s!=this.pX,i=Math.abs(t.deltaX)):(r=0===o?1:o<0?8:16,n=o!=this.pY,i=Math.abs(t.deltaY))),t.direction=r,n&&i>e.threshold&&r&e.direction},attrTest:function(t){return mt.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=vt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(yt,mt,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(Tt,pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[\"auto\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime>e.time;if(this._input=t,!i||!n||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return 32},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Et,mt,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(It,mt,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return gt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,n=this.options.direction;return 30&n?e=t.overallVelocity:6&n?e=t.overallVelocityX:24&n&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&n&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=vt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(At,pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[\"manipulation\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime<e.time;if(this.reset(),1&t.eventType&&0===this.count)return this.failTimeout();if(i&&r&&n){if(4!=t.eventType)return this.failTimeout();var s=!this.pTime||t.timeStamp-this.pTime<e.interval,o=!this.pCenter||L(this.pCenter,t.center)<e.posThreshold;if(this.pTime=t.timeStamp,this.pCenter=t.center,o&&s?this.count+=1:this.count=1,this._input=t,0===this.count%e.taps)return this.hasRequireFailures()?(this._timer=l((function(){this.state=8,this.tryEmit()}),e.interval,this),2):8}return 32},failTimeout:function(){return this._timer=l((function(){this.state=32}),this.options.interval,this),32},reset:function(){clearTimeout(this._timer)},emit:function(){8==this.state&&(this._input.tapCount=this.count,this.manager.emit(this.options.event,this._input))}}),_t.VERSION=\"2.0.7\",_t.defaults={domEvents:!1,touchAction:\"compute\",enable:!0,inputTarget:null,inputClass:null,preset:[[Et,{enable:!1}],[yt,{enable:!1},[\"rotate\"]],[It,{direction:6}],[gt,{direction:6},[\"swipe\"]],[At],[At,{event:\"doubletap\",taps:2},[\"tap\"]],[Tt]],cssProps:{userSelect:\"none\",touchSelect:\"none\",touchCallout:\"none\",contentZooming:\"none\",userDrag:\"none\",tapHighlightColor:\"rgba(0,0,0,0)\"}};function Ct(t,e){var n;this.options=s({},_t.defaults,e||{}),this.options.inputTarget=this.options.inputTarget||t,this.handlers={},this.session={},this.recognizers=[],this.oldCssProps={},this.element=t,this.input=new((n=this).options.inputClass||(M?J:z?nt:R?rt:j))(n,F),this.touchAction=new lt(this,this.options.touchAction),St(this,!0),f(this.options.recognizers,(function(t){var e=this.add(new t[0](t[1]));t[2]&&e.recognizeWith(t[2]),t[3]&&e.requireFailure(t[3])}),this)}function St(t,e){var n,i=t.element;i.style&&(f(t.options.cssProps,(function(r,s){n=D(i.style,s),e?(t.oldCssProps[n]=i.style[n],i.style[n]=r):i.style[n]=t.oldCssProps[n]||\"\"})),e||(t.oldCssProps={}))}Ct.prototype={set:function(t){return s(this.options,t),t.touchAction&&this.touchAction.update(),t.inputTarget&&(this.input.destroy(),this.input.target=t.inputTarget,this.input.init()),this},stop:function(t){this.session.stopped=t?2:1},recognize:function(t){var e=this.session;if(!e.stopped){var n;this.touchAction.preventDefaults(t);var i=this.recognizers,r=e.curRecognizer;(!r||r&&8&r.state)&&(r=e.curRecognizer=null);for(var s=0;s<i.length;)n=i[s],2===e.stopped||r&&n!=r&&!n.canRecognizeWith(r)?n.reset():n.recognize(t),!r&&14&n.state&&(r=e.curRecognizer=n),s++}},get:function(t){if(t instanceof pt)return t;for(var e=this.recognizers,n=0;n<e.length;n++)if(e[n].options.event==t)return e[n];return null},add:function(t){if(p(t,\"add\",this))return this;var e=this.get(t.options.event);return e&&this.remove(e),this.recognizers.push(t),t.manager=this,this.touchAction.update(),t},remove:function(t){if(p(t,\"remove\",this))return this;if(t=this.get(t)){var e=this.recognizers,n=b(e,t);-1!==n&&(e.splice(n,1),this.touchAction.update())}return this},on:function(t,e){if(void 0!==t&&void 0!==e){var n=this.handlers;return f(S(t),(function(t){n[t]=n[t]||[],n[t].push(e)})),this}},off:function(t,e){if(void 0!==t){var n=this.handlers;return f(S(t),(function(t){e?n[t]&&n[t].splice(b(n[t],e),1):delete n[t]})),this}},emit:function(t,e){this.options.domEvents&&function(t,e){var i=n.createEvent(\"Event\");i.initEvent(t,!0,!0),i.gesture=e,e.target.dispatchEvent(i)}(t,e);var i=this.handlers[t]&&this.handlers[t].slice();if(i&&i.length){e.type=t,e.preventDefault=function(){e.srcEvent.preventDefault()};for(var r=0;r<i.length;)i[r](e),r++}},destroy:function(){this.element&&St(this,!1),this.handlers={},this.session={},this.input.destroy(),this.element=null}},s(_t,{INPUT_START:1,INPUT_MOVE:2,INPUT_END:4,INPUT_CANCEL:8,STATE_POSSIBLE:1,STATE_BEGAN:2,STATE_CHANGED:4,STATE_ENDED:8,STATE_RECOGNIZED:8,STATE_CANCELLED:16,STATE_FAILED:32,DIRECTION_NONE:1,DIRECTION_LEFT:2,DIRECTION_RIGHT:4,DIRECTION_UP:8,DIRECTION_DOWN:16,DIRECTION_HORIZONTAL:6,DIRECTION_VERTICAL:24,DIRECTION_ALL:30,Manager:Ct,Input:Y,TouchAction:lt,TouchInput:nt,MouseInput:j,PointerEventInput:J,TouchMouseInput:rt,SingleTouchInput:Q,Recognizer:pt,AttrRecognizer:mt,Tap:At,Pan:gt,Swipe:It,Pinch:yt,Rotate:Et,Press:Tt,on:I,off:A,each:f,merge:m,extend:d,assign:s,inherit:g,bindFn:y,prefixed:D}),(void 0!==t?t:\"undefined\"!=typeof self?self:{}).Hammer=_t,\"function\"==typeof define&&define.amd?define((function(){return _t})):void 0!==e&&e.exports?e.exports=_t:t.Hammer=_t}(window,document)},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1).__importStar(t(18)),o=t(67),s=t(9),a=t(71);class r extends o.View{get plot_view(){return this.parent}get plot_model(){return this.parent.model}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>{this.model.active?this.activate():this.deactivate()})}activate(){}deactivate(){}}i.ToolView=r,r.__name__=\"ToolView\";class _ extends a.Model{constructor(t){super(t)}static init_Tool(){this.prototype._known_aliases=new Map,this.internal({active:[n.Boolean,!1]})}get synthetic_renderers(){return[]}_get_dim_tooltip(t,e){switch(e){case\"width\":return t+\" (x-axis)\";case\"height\":return t+\" (y-axis)\";case\"both\":return t}}_get_dim_limits([t,e],[i,n],o,a){const r=o.bbox.h_range;let _;\"width\"==a||\"both\"==a?(_=[s.min([t,i]),s.max([t,i])],_=[s.max([_[0],r.start]),s.min([_[1],r.end])]):_=[r.start,r.end];const l=o.bbox.v_range;let c;return\"height\"==a||\"both\"==a?(c=[s.min([e,n]),s.max([e,n])],c=[s.max([c[0],l.start]),s.min([c[1],l.end])]):c=[l.start,l.end],[_,c]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}i.Tool=_,_.__name__=\"Tool\",_.init_Tool()},\n",
+       "      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_toolbar=\"bk-toolbar\",t.bk_toolbar_hidden=\"bk-toolbar-hidden\",t.bk_toolbar_button=\"bk-toolbar-button\",t.bk_button_bar=\"bk-button-bar\",t.bk_toolbar_button_custom_action=\"bk-toolbar-button-custom-action\"},\n",
+       "      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-toolbar-hidden {\\n  visibility: hidden;\\n  opacity: 0;\\n  transition: visibility 0.3s linear, opacity 0.3s linear;\\n}\\n.bk-root .bk-toolbar,\\n.bk-root .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-toolbar .bk-logo {\\n  flex-shrink: 0;\\n  -webkit-flex-shrink: 0;\\n}\\n.bk-root .bk-toolbar.bk-above,\\n.bk-root .bk-toolbar.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n  justify-content: flex-end;\\n  -webkit-justify-content: flex-end;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-logo,\\n.bk-root .bk-toolbar.bk-below .bk-logo {\\n  order: 1;\\n  -webkit-order: 1;\\n  margin-left: 5px;\\n  margin-right: 0px;\\n}\\n.bk-root .bk-toolbar.bk-left,\\n.bk-root .bk-toolbar.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  justify-content: flex-start;\\n  -webkit-justify-content: flex-start;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-logo,\\n.bk-root .bk-toolbar.bk-right .bk-logo {\\n  order: 0;\\n  -webkit-order: 0;\\n  margin-bottom: 5px;\\n  margin-top: 0px;\\n}\\n.bk-root .bk-toolbar-button {\\n  width: 30px;\\n  height: 30px;\\n  cursor: pointer;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-toolbar-button:hover {\\n  background-color: rgba(192, 192, 192, 0.15);\\n}\\n.bk-root .bk-toolbar-button:focus {\\n  outline: none;\\n}\\n.bk-root .bk-toolbar-button::-moz-focus-inner {\\n  border: 0;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button {\\n  border-bottom: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button.bk-active {\\n  border-bottom-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button {\\n  border-top: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button.bk-active {\\n  border-top-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button {\\n  border-left: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button.bk-active {\\n  border-left-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button {\\n  border-right: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button.bk-active {\\n  border-right-color: #26aae1;\\n}\\n.bk-root .bk-button-bar + .bk-button-bar:before {\\n  content: \" \";\\n  display: inline-block;\\n  background-color: lightgray;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar + .bk-button-bar:before {\\n  height: 10px;\\n  width: 1px;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar + .bk-button-bar:before {\\n  height: 1px;\\n  width: 10px;\\n}\\n'},\n",
+       "      function _(A,g,C){Object.defineProperty(C,\"__esModule\",{value:!0});C.default='\\n.bk-root .bk-tool-icon-replace-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxokK3gniQAAAHpJREFUWMNjXLhsJcNAAiaGAQajDhhwB7DgEP+PxmeksvjgDwFcLmYkUh2hkBj8IcBIZXsYh1w2/I8v3sgAOM0bLYhGc8GgrwuICgldfQO88pcvXvg/aOuCUQeM5oLRuoCFCJcTbOMh5XOiW0JDNhdQS3y0IBp1ABwAAF8KGrhC1Eg6AAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-append-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkZWD04WwAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAAAoUlEQVRYw+1WQQ6AIAwrhO8Y/bIXEz9jIMSDr8ETCUEPQzA4pMeFLKNbu4l5WR0CDOMEALBGIzMuQIBEZQjPgP9JLjwTfBjY9sO9lZsFA9IafZng3BlIyVefgd8XQFZBAWe8jfNxwsDhir6rzoCiPiy1K+J8/FRQemv2XfAdFcQ9znU4Viqg9ta1qYJ+D1BnAIBrkgGVOrXNqUA9rbyZm/AEzFh4jEeY/soAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-intersect-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkrkOpp2wAAAPhJREFUWMPtV1EKwjAMTUavI3oawR/vtn5srJdREfzwMvHHQlcT2mpdMzFfWxiP5r2+JMN+mAiCOB72CABgR1cln4oOGocJnuMTSxWk8jMm7OggYkYXA9gPE3uyd8NXHONJ+eYMdE/NqCJmEZ5ZqlJJ4sUksKN7cYSaPoCZFWR1QI+Xm1fBACU63Cw22x0AAJxudwrffVwvZ+JmQdAHZkw0d4EpAMCw8k87pMdbnwtizQumJYv3nwV6XOA1qbUT/oQLUJgFRbsiNwFVucBIlyR3p0tdMp+XmFjfLKi1LatyAXtCRjPWBdL3Ke3VuACJKFfDr/xFN2fgAR/Go0qaLlmEAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-subtract-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxgsF5XNOQAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAABFUlEQVRYw9VWUQqDMAxNpWfxQxD1MoP97G7zQ5mH2RTZYLtM9lWoMbXtxLXNX4OG9r28l4hrd0PQoqxqAACYpxH25C/nkwCHyCBwSPoS09k1T5Fo+4EiExcC4v584xGFmyIXHBLRISAVZyZufUPVa4rcrwmPDgr93ylo+2GliLRUYHK6th/o/6r7nfLpqaCsagEA8Hh9FmcNKeRmgeYDC+SCq0B6FFi8/BcV6BdR9cL3gCv3ijPKOacsn3rBEcjmaVxpfGcg4wHxzgJJnc6241Hn23DERFRAu1bNcWa3Q0uXi62XR6sCaWoSejbtdLYmU3kTEunNgj0bUbQqYG/IcMaqwPS9jftoVCAQ0ZVDJwf0zQdH4AsyW6fpQu4YegAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-clear-selection {\\n  background-image: 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url(\"data:image/png;base64,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\");\\n}\\n'},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(68),o=n.__importStar(t(255));class l{constructor(t,e={}){this.items=t,this.options=e,this.el=s.div(),this._open=!1,this._item_click=t=>{var e;null===(e=this.items[t])||void 0===e||e.handler(),this.hide()},this._on_mousedown=t=>{var e,i;const{target:n}=t;n instanceof Node&&this.el.contains(n)||(null===(i=(e=this.options).prevent_hide)||void 0===i?void 0:i.call(e,t))||this.hide()},this._on_keydown=t=>{t.keyCode==s.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},s.undisplay(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){s.remove(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=e.getBoundingClientRect();this.el.style.left=null!=t.left?t.left-i.left+\"px\":\"\",this.el.style.top=null!=t.top?t.top-i.top+\"px\":\"\",this.el.style.right=null!=t.right?i.right-t.right+\"px\":\"\",this.el.style.bottom=null!=t.bottom?i.bottom-t.bottom+\"px\":\"\"}}render(){var t;s.empty(this.el,!0);const e=null!==(t=this.options.orientation)&&void 0!==t?t:\"vertical\";s.classes(this.el).add(\"bk-context-menu\",\"bk-\"+e),s.append(this.el,...this.items.map((t,e)=>{var i;let n;if(null!=t){const e=null!=t.icon?s.div({class:[\"bk-menu-icon\",t.icon]}):null;n=s.div({class:(null===(i=t.active)||void 0===i?void 0:i.call(t))?\"bk-active\":null,title:t.tooltip},e,t.label)}else n=s.div({class:o.bk_divider});return n.addEventListener(\"click\",()=>this._item_click(e)),n}))}show(t){0!=this.items.length&&(this._open||(this.render(),this._position(null!=t?t:{left:0,top:0}),s.display(this.el),this._listen(),this._open=!0))}hide(){this._open&&(this._open=!1,this._unlisten(),s.undisplay(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=l,l.__name__=\"ContextMenu\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(275),i=e(146),s=e(68);class c extends o.ButtonToolButtonView{render(){super.render(),s.classes(this.el).toggle(i.bk_active,this.model.active)}_clicked(){const{active:e}=this.model;this.model.active=!e}}n.OnOffButtonView=c,c.__name__=\"OnOffButtonView\"},\n",
+       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(72),l=t(68),n=t(99),a=i.__importStar(t(18)),r=t(66),_=t(9),c=t(8),h=t(71),u=t(284),v=t(285),d=t(286),b=t(274),p=t(278),g=t(288),f=t(146),m=i.__importDefault(t(279)),w=i.__importDefault(t(289));class y extends h.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define({_visible:[a.Any,null],autohide:[a.Boolean,!1]})}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=y,y.__name__=\"ToolbarViewModel\",y.init_ToolbarViewModel();class T extends r.DOMView{initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new y({autohide:this.model.autohide})}async lazy_initialize(){await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,async()=>{await this._build_tool_button_views(),this.render()}),this.connect(this.model.properties.autohide.change,()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()}),this.connect(this._toolbar_view_model.properties._visible.change,()=>this._on_visible_change())}styles(){return[...super.styles(),m.default,w.default]}remove(){n.remove_views(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await n.build_views(this._tool_button_views,t,{parent:this},t=>t.button_view)}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const t=this._toolbar_view_model.visible,o=p.bk_toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(l.empty(this.el),this.el.classList.add(p.bk_toolbar),this.el.classList.add(f.bk_side(this.model.toolbar_location)),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?g.bk_grey:null,o=l.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[g.bk_logo,g.bk_logo_small,t]});this.el.appendChild(o)}for(const[,t]of this._tool_button_views)t.render();const t=[],o=t=>this._tool_button_views.get(t).el,{gestures:e}=this.model;for(const i in e)t.push(e[i].tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter(t=>t.toggleable).map(o));for(const o of t)if(0!==o.length){const t=l.div({class:p.bk_button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}}function k(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=T,T.__name__=\"ToolbarBaseView\";class M extends h.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=T,this.define({tools:[a.Array,[]],logo:[a.Logo,\"normal\"],autohide:[a.Boolean,!1]}),this.internal({gestures:[a.Any,k],actions:[a.Array,[]],inspectors:[a.Array,[]],help:[a.Array,[]],toolbar_location:[a.Location,\"right\"]})}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map(t=>t.id));return _.some(t,t=>!e.has(t.id))},o=this.tools.filter(t=>t instanceof b.InspectTool);t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter(t=>t instanceof d.HelpTool);t(this.help,e)&&(this.help=e);const i=this.tools.filter(t=>t instanceof v.ActionTool);t(this.actions,i)&&(this.actions=i);const l=(t,o)=>{t in this.gestures||s.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},n={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof u.GestureTool&&t.event_type)if(c.isString(t.event_type))n[t.event_type].tools.push(t),l(t.event_type,t);else{n.multi.tools.push(t);for(const o of t.event_type)l(o,t)}for(const o of Object.keys(n)){const e=this.gestures[o];t(e.tools,n[o].tools)&&(e.tools=n[o].tools),e.active&&_.every(e.tools,t=>t.id!=e.active.id)&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=c.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(s.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,s.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=M,M.__name__=\"ToolbarBase\",M.init_ToolbarBase()},\n",
+       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(275),n=e(282);class u extends s.ButtonToolView{}t.GestureToolView=u,u.__name__=\"GestureToolView\";class _ extends s.ButtonTool{constructor(e){super(e),this.button_view=n.OnOffButtonView}}t.GestureTool=_,_.__name__=\"GestureTool\"},\n",
+       "      function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=o(275),i=o(14);class s extends e.ButtonToolButtonView{_clicked(){this.model.do.emit()}}n.ActionToolButtonView=s,s.__name__=\"ActionToolButtonView\";class c extends e.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,()=>this.doit())}}n.ActionToolView=c,c.__name__=\"ActionToolView\";class l extends e.ButtonTool{constructor(o){super(o),this.button_view=s,this.do=new i.Signal0(this,\"do\")}}n.ActionTool=l,l.__name__=\"ActionTool\"},\n",
+       "      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(1),l=o(285),s=i.__importStar(o(18)),n=o(287);class _ extends l.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=_,_.__name__=\"HelpToolView\";class r extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.bk_tool_icon_help}static init_HelpTool(){this.prototype.default_view=_,this.define({help_tooltip:[s.String,\"Click the question mark to learn more about Bokeh plot tools.\"],redirect:[s.String,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}),this.register_alias(\"help\",()=>new r)}get tooltip(){return this.help_tooltip}}t.HelpTool=r,r.__name__=\"HelpTool\",r.init_HelpTool()},\n",
+       "      function _(o,_,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tool_icon_box_select=\"bk-tool-icon-box-select\",l.bk_tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",l.bk_tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",l.bk_tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",l.bk_tool_icon_help=\"bk-tool-icon-help\",l.bk_tool_icon_hover=\"bk-tool-icon-hover\",l.bk_tool_icon_crosshair=\"bk-tool-icon-crosshair\",l.bk_tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",l.bk_tool_icon_pan=\"bk-tool-icon-pan\",l.bk_tool_icon_xpan=\"bk-tool-icon-xpan\",l.bk_tool_icon_ypan=\"bk-tool-icon-ypan\",l.bk_tool_icon_range=\"bk-tool-icon-range\",l.bk_tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",l.bk_tool_icon_redo=\"bk-tool-icon-redo\",l.bk_tool_icon_reset=\"bk-tool-icon-reset\",l.bk_tool_icon_save=\"bk-tool-icon-save\",l.bk_tool_icon_tap_select=\"bk-tool-icon-tap-select\",l.bk_tool_icon_undo=\"bk-tool-icon-undo\",l.bk_tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",l.bk_tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",l.bk_tool_icon_box_edit=\"bk-tool-icon-box-edit\",l.bk_tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",l.bk_tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",l.bk_tool_icon_point_draw=\"bk-tool-icon-point-draw\",l.bk_tool_icon_poly_edit=\"bk-tool-icon-poly-edit\",l.bk_tool_icon_line_edit=\"bk-tool-icon-line-edit\"},\n",
+       "      function _(o,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_logo=\"bk-logo\",b.bk_logo_notebook=\"bk-logo-notebook\",b.bk_logo_small=\"bk-logo-small\",b.bk_grey=\"bk-grey\"},\n",
+       "      function _(l,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-logo {\\n  margin: 5px;\\n  position: relative;\\n  display: block;\\n  background-repeat: no-repeat;\\n}\\n.bk-root .bk-logo.bk-grey {\\n  filter: url(\\\"data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg'><filter id='grayscale'><feColorMatrix type='matrix' values='0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0'/></filter></svg>#grayscale\\\");\\n  /* Firefox 10+, Firefox on Android */\\n  filter: gray;\\n  /* IE6-9 */\\n  -webkit-filter: grayscale(100%);\\n  /* Chrome 19+, Safari 6+, Safari 6+ iOS */\\n}\\n.bk-root .bk-logo-small {\\n  width: 20px;\\n  height: 20px;\\n  background-image: url(data:image/png;base64,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);\\n}\\n.bk-root .bk-logo-notebook {\\n  display: inline-block;\\n  vertical-align: middle;\\n  margin-right: 5px;\\n}\\n\"},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});var s=this&&this.__rest||function(t,e){var i={};for(var s in t)Object.prototype.hasOwnProperty.call(t,s)&&e.indexOf(s)<0&&(i[s]=t[s]);if(null!=t&&\"function\"==typeof Object.getOwnPropertySymbols){var n=0;for(s=Object.getOwnPropertySymbols(t);n<s.length;n++)e.indexOf(s[n])<0&&Object.prototype.propertyIsEnumerable.call(t,s[n])&&(i[s[n]]=t[s[n]])}return i};const n=t(184),a=t(181),o=t(186),l=t(81),r=t(245),h=t(142),_=t(150),d=t(143),u=t(291),c=t(14),p=t(99),g=t(292),m=t(70),f=t(72),b=t(294),w=t(8),v=t(9),y=t(17),x=t(188),z=t(191),M=t(295),k=t(192),O=t(88);class j extends x.Layoutable{constructor(){super(...arguments),this.min_border={left:0,top:0,right:0,bottom:0}}_measure(t){t=new x.Sizeable(t).bounded_to(this.sizing.size);const e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left),s=this.right_panel.measure({width:0,height:t.height}),n=Math.max(s.width,this.min_border.right),a=this.top_panel.measure({width:t.width,height:0}),o=Math.max(a.height,this.min_border.top),l=this.bottom_panel.measure({width:t.width,height:0}),r=Math.max(l.height,this.min_border.bottom),h=new x.Sizeable(t).shrink_by({left:i,right:n,top:o,bottom:r}),_=this.center_panel.measure(h);return{width:i+_.width+n,height:o+_.height+r,inner:{left:i,right:n,top:o,bottom:r},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),s=this.right_panel.measure({width:0,height:t.height}),n=this.top_panel.measure({width:t.width,height:0}),a=this.bottom_panel.measure({width:t.width,height:0}),{left:o,top:l,right:r,bottom:h}=e;this.top_panel.set_geometry(new O.BBox({left:o,right:r,bottom:l,height:n.height})),this.bottom_panel.set_geometry(new O.BBox({left:o,right:r,top:h,height:a.height})),this.left_panel.set_geometry(new O.BBox({top:l,bottom:h,right:o,width:i.width})),this.right_panel.set_geometry(new O.BBox({top:l,bottom:h,left:r,width:s.width}))}}i.PlotLayout=j,j.__name__=\"PlotLayout\";class P extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new O.BBox,this._inner_bbox=new O.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(t=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||t||this.request_paint()}request_render(){this.request_paint()}request_paint(t){if(null!=t?this._invalidated_painters.add(t):this._invalidate_all=!0,!this.is_paused){const t=this.throttled_paint();this._ready=this._ready.then(()=>t)}}request_layout(){this._needs_layout=!0,this.request_paint()}reset(){\"standard\"==this.model.reset_policy&&(this.clear_state(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new u.Reset)}remove(){this.ui_event_bus.destroy(),p.remove_views(this.renderer_views),p.remove_views(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.state_changed=new c.Signal0(this,\"state_changed\"),this.lod_started=!1,this.visuals=new m.Visuals(this.model),this._initial_state_info={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.state={history:[],index:-1};const{hidpi:t,output_backend:e}=this.model;this.canvas=new a.Canvas({hidpi:t,output_backend:e}),this.frame=new n.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges),this.throttled_paint=b.throttle(()=>this.repaint(),1e3/60);const{title_location:i,title:s}=this.model;null!=i&&null!=s&&(this._title=s instanceof h.Title?s:new h.Title({text:s}));const{toolbar_location:o,toolbar:l}=this.model;null!=o&&null!=l&&(this._toolbar=new d.ToolbarPanel({toolbar:l}),l.toolbar_location=o),this.renderer_views=new Map,this.tool_views=new Map}async lazy_initialize(){this.canvas_view=await p.build_view(this.canvas,{parent:this}),this.ui_event_bus=new g.UIEvents(this,this.model.toolbar,this.canvas_view.events_el),await this.build_renderer_views(),await this.build_tool_views(),this.update_dataranges(),this.unpause(!0),f.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){this.layout=new j,this.layout.set_sizing(this.box_sizing());const{frame_width:t,frame_height:e}=this.model;this.layout.center_panel=this.frame,this.layout.center_panel.set_sizing(Object.assign(Object.assign({},null!=t?{width_policy:\"fixed\",width:t}:{width_policy:\"fit\"}),null!=e?{height_policy:\"fixed\",height:e}:{height_policy:\"fit\"}));const i=v.copy(this.model.above),s=v.copy(this.model.below),n=v.copy(this.model.left),a=v.copy(this.model.right),o=t=>{switch(t){case\"above\":return i;case\"below\":return s;case\"left\":return n;case\"right\":return a}},{title_location:l,title:r}=this.model;null!=l&&null!=r&&o(l).push(this._title);const{toolbar_location:_,toolbar:u}=this.model;if(null!=_&&null!=u){const t=o(_);let e=!0;if(this.model.toolbar_sticky)for(let i=0;i<t.length;i++){const s=t[i];if(s instanceof h.Title){t[i]=\"above\"==_||\"below\"==_?[s,this._toolbar]:[this._toolbar,s],e=!1;break}}e&&t.push(this._toolbar)}const c=(t,e)=>{const i=this.renderer_views.get(e);return i.layout=new M.SidePanel(t,i)},p=(t,e)=>{const i=\"above\"==t||\"below\"==t,s=[];for(const n of e)if(w.isArray(n)){const e=n.map(e=>{const s=c(t,e);if(e instanceof d.ToolbarPanel){const t=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[t]:\"min\"}))}return s});let a;i?(a=new k.Row(e),a.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(a=new k.Column(e),a.set_sizing({width_policy:\"min\",height_policy:\"max\"})),a.absolute=!0,s.push(a)}else s.push(c(t,n));return s},g=null!=this.model.min_border?this.model.min_border:0;this.layout.min_border={left:null!=this.model.min_border_left?this.model.min_border_left:g,top:null!=this.model.min_border_top?this.model.min_border_top:g,right:null!=this.model.min_border_right?this.model.min_border_right:g,bottom:null!=this.model.min_border_bottom?this.model.min_border_bottom:g};const m=new z.VStack,f=new z.VStack,b=new z.HStack,y=new z.HStack;m.children=v.reversed(p(\"above\",i)),f.children=p(\"below\",s),b.children=v.reversed(p(\"left\",n)),y.children=p(\"right\",a),m.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),f.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),b.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),y.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.top_panel=m,this.layout.bottom_panel=f,this.layout.left_panel=b,this.layout.right_panel=y}get axis_views(){const t=[];for(const[,e]of this.renderer_views)e instanceof _.AxisView&&t.push(e);return t}set_cursor(t=\"default\"){this.canvas_view.el.style.cursor=t}set_toolbar_visibility(t){for(const e of this.visibility_callbacks)e(t)}update_dataranges(){const t=new Map,e=new Map;let i=!1;for(const t of y.values(this.frame.x_ranges).concat(y.values(this.frame.y_ranges)))t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(i=!0);for(const[s,n]of this.renderer_views)if(n instanceof l.GlyphRendererView){const a=n.glyph.bounds();if(null!=a&&t.set(s,a),i){const t=n.glyph.log_bounds();null!=t&&e.set(s,t)}}let s=!1,n=!1;const{width:a,height:r}=this.frame.bbox;let h;!1!==this.model.match_aspect&&0!=a&&0!=r&&(h=1/this.model.aspect_scale*(a/r));for(const i of y.values(this.frame.x_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,0,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}for(const i of y.values(this.frame.y_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,1,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}if(s&&n){f.logger.warn(\"Follow enabled so bounds are unset.\");for(const t of y.values(this.frame.x_ranges))t.bounds=null;for(const t of y.values(this.frame.y_ranges))t.bounds=null}this.range_update_timestamp=Date.now()}map_to_screen(t,e,i=\"default\",s=\"default\"){return this.frame.map_to_screen(t,e,i,s)}push_state(t,e){const{history:i,index:s}=this.state,n=null!=i[s]?i[s].info:{},a=Object.assign(Object.assign(Object.assign({},this._initial_state_info),n),e);this.state.history=this.state.history.slice(0,this.state.index+1),this.state.history.push({type:t,info:a}),this.state.index=this.state.history.length-1,this.state_changed.emit()}clear_state(){this.state={history:[],index:-1},this.state_changed.emit()}can_undo(){return this.state.index>=0}can_redo(){return this.state.index<this.state.history.length-1}undo(){this.can_undo()&&(this.state.index-=1,this._do_state_change(this.state.index),this.state_changed.emit())}redo(){this.can_redo()&&(this.state.index+=1,this._do_state_change(this.state.index),this.state_changed.emit())}_do_state_change(t){const e=null!=this.state.history[t]?this.state.history[t].info:this._initial_state_info;null!=e.range&&this.update_range(e.range),null!=e.selection&&this.update_selection(e.selection)}get_selection(){const t=new Map;for(const e of this.model.renderers)if(e instanceof l.GlyphRenderer){const{selected:i}=e.data_source;t.set(e,i)}return t}update_selection(t){for(const e of this.model.renderers){if(!(e instanceof l.GlyphRenderer))continue;const i=e.data_source;if(null!=t){const s=t.get(e);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_update_ranges_together(t){let e=1;for(const[i,s]of t)e=Math.min(e,this._get_weight_to_constrain_interval(i,s));if(e<1)for(const[i,s]of t)s.start=e*s.start+(1-e)*i.start,s.end=e*s.end+(1-e)*i.end}_update_ranges_individually(t,e,i,s){let n=!1;for(const[s,a]of t){if(!i){const t=this._get_weight_to_constrain_interval(s,a);t<1&&(a.start=t*a.start+(1-t)*s.start,a.end=t*a.end+(1-t)*s.end)}if(null!=s.bounds&&\"auto\"!=s.bounds){const[t,o]=s.bounds,l=Math.abs(a.end-a.start);s.is_reversed?(null!=t&&t>=a.end&&(n=!0,a.end=t,(e||i)&&(a.start=t+l)),null!=o&&o<=a.start&&(n=!0,a.start=o,(e||i)&&(a.end=o-l))):(null!=t&&t>=a.start&&(n=!0,a.start=t,(e||i)&&(a.end=t+l)),null!=o&&o<=a.end&&(n=!0,a.end=o,(e||i)&&(a.start=o-l)))}}if(!(i&&n&&s))for(const[e,i]of t)e.have_updated_interactively=!0,e.start==i.start&&e.end==i.end||e.setv(i)}_get_weight_to_constrain_interval(t,e){const{min_interval:i}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[e,i]=t.bounds;if(null!=e&&null!=i){const t=Math.abs(i-e);s=null!=s?Math.min(s,t):t}}let n=1;if(null!=i||null!=s){const a=Math.abs(t.end-t.start),o=Math.abs(e.end-e.start);i>0&&o<i&&(n=(a-i)/(a-o)),s>0&&o>s&&(n=(s-a)/(o-a)),n=Math.max(0,Math.min(1,n))}return n}update_range(t,e=!1,i=!1,s=!0){this.pause();const{x_ranges:n,y_ranges:a}=this.frame;if(null==t){for(const t in n){n[t].reset()}for(const t in a){a[t].reset()}this.update_dataranges()}else{const o=[];for(const e in n){const i=n[e];o.push([i,t.xrs[e]])}for(const e in a){const i=a[e];o.push([i,t.yrs[e]])}i&&this._update_ranges_together(o),this._update_ranges_individually(o,e,i,s)}this.unpause()}reset_range(){this.update_range(null)}_invalidate_layout(){(()=>{for(const t of this.model.side_panels){if(this.renderer_views.get(t).layout.has_size_changed())return!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map(t=>this.renderer_views.get(t))}async build_renderer_views(){this.computed_renderers=[];const{above:t,below:e,left:i,right:s,center:n,renderers:a}=this.model;this.computed_renderers.push(...t,...e,...i,...s,...n,...a),null!=this._title&&this.computed_renderers.push(this._title),null!=this._toolbar&&this.computed_renderers.push(this._toolbar);for(const t of this.model.toolbar.tools)null!=t.overlay&&this.computed_renderers.push(t.overlay),this.computed_renderers.push(...t.synthetic_renderers);await p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const t=this.model.toolbar.tools;(await p.build_views(this.tool_views,t,{parent:this})).map(t=>this.ui_event_bus.register_tool(t))}connect_signals(){super.connect_signals();const{x_ranges:t,y_ranges:e}=this.frame;for(const e in t){const i=t[e];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}for(const t in e){const i=e[t];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}const{plot_width:i,plot_height:s}=this.model.properties;this.on_change([i,s],()=>this.invalidate_layout());const{above:n,below:a,left:o,right:l,center:r,renderers:h}=this.model.properties;this.on_change([n,a,o,l,r,h],async()=>await this.build_renderer_views()),this.connect(this.model.toolbar.properties.tools.change,async()=>{await this.build_renderer_views(),await this.build_tool_views()}),this.connect(this.model.change,()=>this.request_paint()),this.connect(this.model.reset,()=>this.reset())}set_initial_range(){let t=!0;const{x_ranges:e,y_ranges:i}=this.frame,s={},n={};for(const i in e){const{start:n,end:a}=e[i];if(null==n||null==a||isNaN(n+a)){t=!1;break}s[i]={start:n,end:a}}if(t)for(const e in i){const{start:s,end:a}=i[e];if(null==s||null==a||isNaN(s+a)){t=!1;break}n[e]={start:s,end:a}}t?(this._initial_state_info.range={xrs:s,yrs:n},f.logger.debug(\"initial ranges set\")):f.logger.warn(\"could not set initial ranges\")}has_finished(){if(!super.has_finished())return!1;for(const[,t]of this.renderer_views)if(!t.has_finished())return!1;return!0}after_layout(){if(super.after_layout(),this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame._width.value),inner_height:Math.round(this.frame._height.value),outer_width:Math.round(this.layout._width.value),outer_height:Math.round(this.layout._height.value)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:t,height:e}=this.layout.bbox;this.canvas_view.resize(t,e),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}this._inner_bbox.equals(this.frame.inner_bbox)||(this._inner_bbox=this.layout.inner_bbox,this._needs_paint=!0),this._needs_paint&&(this._needs_paint=!1,this.paint())}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){if(this.is_paused)return;f.logger.trace(\"PlotView.paint() for \"+this.model.id);const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e<this.model.lod_interval?setTimeout(()=>{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(this.model),this.request_paint()},this.model.lod_timeout):t.interactive_stop(this.model)}for(const[,t]of this.renderer_views)if(null==this.range_update_timestamp||t instanceof l.GlyphRendererView&&t.set_data_timestamp>this.range_update_timestamp){this.update_dataranges();break}let e=!1,i=!1;if(this._invalidate_all)e=!0,i=!0;else for(const t of this._invalidated_painters){const{level:s}=t.model;if(\"overlay\"!=s?e=!0:i=!0,e&&i)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const s=[this.frame._left.value,this.frame._top.value,this.frame._width.value,this.frame._height.value],{primary:n,overlays:a}=this.canvas_view;e&&(n.prepare(),this.canvas_view.prepare_webgl(s),this.canvas_view.clear_webgl(),this._map_hook(n.ctx,s),this._paint_empty(n.ctx,s),this._paint_outline(n.ctx,s),this._paint_levels(n.ctx,\"image\",s,!0),this._paint_levels(n.ctx,\"underlay\",s,!0),this._paint_levels(n.ctx,\"glyph\",s,!0),this._paint_levels(n.ctx,\"guide\",s,!1),this._paint_levels(n.ctx,\"annotation\",s,!1),n.finish()),i&&(a.prepare(),this._paint_levels(a.ctx,\"overlay\",s,!1),a.finish()),null==this._initial_state_info.range&&this.set_initial_range()}_paint_levels(t,e,i,s){for(const n of this.computed_renderers){if(n.level!=e)continue;const a=this.renderer_views.get(n);t.save(),(s||a.needs_clip)&&(t.beginPath(),t.rect(...i),t.clip()),a.render(),t.restore(),a.has_webgl&&(this.canvas_view.blit_webgl(t),this.canvas_view.clear_webgl())}}_map_hook(t,e){}_paint_empty(t,e){const[i,s,n,a]=[0,0,this.layout._width.value,this.layout._height.value],[o,l,r,h]=e;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(t),t.fillRect(i,s,n,a),t.clearRect(o,l,r,h)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(o,l,r,h))}_paint_outline(t,e){if(this.visuals.outline_line.doit){t.save(),this.visuals.outline_line.set_value(t);let[i,s,n,a]=e;i+n==this.layout._width.value&&(n-=1),s+a==this.layout._height.value&&(a-=1),t.strokeRect(i,s,n,a),t.restore()}}save(t){this.canvas_view.save(t)}serializable_state(){const t=super.serializable_state(),{children:e}=t,i=s(t,[\"children\"]),n=this.get_renderer_views().map(t=>t.serializable_state()).filter(t=>\"bbox\"in t);return Object.assign(Object.assign({},i),{children:[...e,...n]})}}i.PlotView=P,P.__name__=\"PlotView\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});var n=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var r=e.length-1;r>=0;r--)(_=e[r])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function _(e){return function(t){t.prototype.event_name=e}}class a{constructor(){this.origin=null}to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}_to_json(){return{model:this.origin}}}s.BokehEvent=a,a.__name__=\"BokehEvent\";let o=class extends a{};s.ButtonClick=o,o.__name__=\"ButtonClick\",s.ButtonClick=o=n([_(\"button_click\")],o);let r=class extends a{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=r,r.__name__=\"MenuItemClick\",s.MenuItemClick=r=n([_(\"menu_item_click\")],r);class c extends a{}s.UIEvent=c,c.__name__=\"UIEvent\";let i=class extends c{};s.LODStart=i,i.__name__=\"LODStart\",s.LODStart=i=n([_(\"lodstart\")],i);let l=class extends c{};s.LODEnd=l,l.__name__=\"LODEnd\",s.LODEnd=l=n([_(\"lodend\")],l);let u=class extends c{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=u,u.__name__=\"SelectionGeometry\",s.SelectionGeometry=u=n([_(\"selectiongeometry\")],u);let h=class extends c{};s.Reset=h,h.__name__=\"Reset\",s.Reset=h=n([_(\"reset\")],h);class d extends c{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=d,d.__name__=\"PointEvent\";let m=class extends d{constructor(e,t,s,n,_,a){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=m,m.__name__=\"Pan\",s.Pan=m=n([_(\"pan\")],m);let p=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=p,p.__name__=\"Pinch\",s.Pinch=p=n([_(\"pinch\")],p);let x=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=x,x.__name__=\"Rotate\",s.Rotate=x=n([_(\"rotate\")],x);let j=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=j,j.__name__=\"MouseWheel\",s.MouseWheel=j=n([_(\"wheel\")],j);let y=class extends d{};s.MouseMove=y,y.__name__=\"MouseMove\",s.MouseMove=y=n([_(\"mousemove\")],y);let P=class extends d{};s.MouseEnter=P,P.__name__=\"MouseEnter\",s.MouseEnter=P=n([_(\"mouseenter\")],P);let O=class extends d{};s.MouseLeave=O,O.__name__=\"MouseLeave\",s.MouseLeave=O=n([_(\"mouseleave\")],O);let b=class extends d{};s.Tap=b,b.__name__=\"Tap\",s.Tap=b=n([_(\"tap\")],b);let g=class extends d{};s.DoubleTap=g,g.__name__=\"DoubleTap\",s.DoubleTap=g=n([_(\"doubletap\")],g);let v=class extends d{};s.Press=v,v.__name__=\"Press\",s.Press=v=n([_(\"press\")],v);let E=class extends d{};s.PressUp=E,E.__name__=\"PressUp\",s.PressUp=E=n([_(\"pressup\")],E);let M=class extends d{};s.PanStart=M,M.__name__=\"PanStart\",s.PanStart=M=n([_(\"panstart\")],M);let f=class extends d{};s.PanEnd=f,f.__name__=\"PanEnd\",s.PanEnd=f=n([_(\"panend\")],f);let R=class extends d{};s.PinchStart=R,R.__name__=\"PinchStart\",s.PinchStart=R=n([_(\"pinchstart\")],R);let S=class extends d{};s.PinchEnd=S,S.__name__=\"PinchEnd\",s.PinchEnd=S=n([_(\"pinchend\")],S);let k=class extends d{};s.RotateStart=k,k.__name__=\"RotateStart\",s.RotateStart=k=n([_(\"rotatestart\")],k);let D=class extends d{};s.RotateEnd=D,D.__name__=\"RotateEnd\",s.RotateEnd=D=n([_(\"rotateend\")],D)},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importDefault(t(276)),r=t(14),a=t(72),h=t(68),_=t(293),o=t(9),c=t(8),l=t(28),p=n.__importStar(t(291)),u=t(281);class d{constructor(t,e,s){this.plot_view=t,this.toolbar=e,this.hit_area=s,this.pan_start=new r.Signal(this,\"pan:start\"),this.pan=new r.Signal(this,\"pan\"),this.pan_end=new r.Signal(this,\"pan:end\"),this.pinch_start=new r.Signal(this,\"pinch:start\"),this.pinch=new r.Signal(this,\"pinch\"),this.pinch_end=new r.Signal(this,\"pinch:end\"),this.rotate_start=new r.Signal(this,\"rotate:start\"),this.rotate=new r.Signal(this,\"rotate\"),this.rotate_end=new r.Signal(this,\"rotate:end\"),this.tap=new r.Signal(this,\"tap\"),this.doubletap=new r.Signal(this,\"doubletap\"),this.press=new r.Signal(this,\"press\"),this.pressup=new r.Signal(this,\"pressup\"),this.move_enter=new r.Signal(this,\"move:enter\"),this.move=new r.Signal(this,\"move\"),this.move_exit=new r.Signal(this,\"move:exit\"),this.scroll=new r.Signal(this,\"scroll\"),this.keydown=new r.Signal(this,\"keydown\"),this.keyup=new r.Signal(this,\"keyup\"),this.hammer=new i.default(this.hit_area,{touchAction:\"auto\",inputClass:i.default.TouchMouseInput}),this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",t=>this._mouse_move(t)),this.hit_area.addEventListener(\"mouseenter\",t=>this._mouse_enter(t)),this.hit_area.addEventListener(\"mouseleave\",t=>this._mouse_exit(t)),this.hit_area.addEventListener(\"contextmenu\",t=>this._context_menu(t)),this.hit_area.addEventListener(\"wheel\",t=>this._mouse_wheel(t)),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new u.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",t=>this._doubletap(t)),this.hammer.on(\"tap\",t=>this._tap(t)),this.hammer.on(\"press\",t=>this._press(t)),this.hammer.on(\"pressup\",t=>this._pressup(t)),this.hammer.get(\"pan\").set({direction:i.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",t=>this._pan_start(t)),this.hammer.on(\"pan\",t=>this._pan(t)),this.hammer.on(\"panend\",t=>this._pan_end(t)),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",t=>this._pinch_start(t)),this.hammer.on(\"pinch\",t=>this._pinch(t)),this.hammer.on(\"pinchend\",t=>this._pinch_end(t)),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",t=>this._rotate_start(t)),this.hammer.on(\"rotate\",t=>this._rotate(t)),this.hammer.on(\"rotateend\",t=>this._rotate_end(t))}register_tool(t){const e=t.model.event_type;null!=e&&(c.isString(e)?this._register_tool(t,e):e.forEach((e,s)=>this._register_tool(t,e,s<1)))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},h=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(\"unsupported event_type: \"+e)}s&&(null!=n._doubletap&&n.connect(this.doubletap,h(n._doubletap.bind(n))),null!=n._keydown&&n.connect(this.keydown,h(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,h(n._keyup.bind(n))),l.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(a.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e){const s=this.plot_view.get_renderer_views();for(const n of o.reversed(s)){const{level:s}=n.model;if((\"annotation\"==s||\"overlay\"==s)&&null!=n.interactive_hit&&n.interactive_hit(t,e))return n}return null}_hit_test_frame(t,e){return this.plot_view.frame.bbox.contains(t,e)}_hit_test_canvas(t,e){return this.plot_view.layout.bbox.contains(t,e)}_trigger(t,e,s){const n=this.toolbar.gestures,i=t.name.split(\":\")[0],r=this._hit_test_renderers(e.sx,e.sy),a=this._hit_test_canvas(e.sx,e.sy);switch(i){case\"move\":{const s=n[i].active;null!=s&&this.trigger(t,e,s.id);const h=this.toolbar.inspectors.filter(t=>t.active);let _=\"default\";null!=r?(_=r.cursor(e.sx,e.sy)||_,o.is_empty(h)||(t=this.move_exit)):this._hit_test_frame(e.sx,e.sy)&&(o.is_empty(h)||(_=\"crosshair\")),this.plot_view.set_cursor(_),this.plot_view.set_toolbar_visibility(a),h.map(s=>this.trigger(t,e,s.id));break}case\"tap\":{const{target:a}=s;if(null!=a&&a!=this.hit_area)return;null!=r&&null!=r.on_hit&&r.on_hit(e.sx,e.sy);const h=n[i].active;null!=h&&this.trigger(t,e,h.id);break}case\"scroll\":{const i=n[l.is_mobile?\"pinch\":\"scroll\"].active;null!=i&&(s.preventDefault(),s.stopPropagation(),this.trigger(t,e,i.id));break}case\"pan\":{const r=n[i].active;null!=r&&(s.preventDefault(),this.trigger(t,e,r.id));break}default:{const s=n[i].active;null!=s&&this.trigger(t,e,s.id)}}this._trigger_bokeh_event(e)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t){const e=(()=>{const e=this.plot_view.frame.xscales.default,s=this.plot_view.frame.yscales.default,{sx:n,sy:i}=t,r=e.invert(n),a=s.invert(i);switch(t.type){case\"wheel\":return new p.MouseWheel(n,i,r,a,t.delta);case\"mousemove\":return new p.MouseMove(n,i,r,a);case\"mouseenter\":return new p.MouseEnter(n,i,r,a);case\"mouseleave\":return new p.MouseLeave(n,i,r,a);case\"tap\":return new p.Tap(n,i,r,a);case\"doubletap\":return new p.DoubleTap(n,i,r,a);case\"press\":return new p.Press(n,i,r,a);case\"pressup\":return new p.PressUp(n,i,r,a);case\"pan\":return new p.Pan(n,i,r,a,t.deltaX,t.deltaY);case\"panstart\":return new p.PanStart(n,i,r,a);case\"panend\":return new p.PanEnd(n,i,r,a);case\"pinch\":return new p.Pinch(n,i,r,a,t.scale);case\"pinchstart\":return new p.PinchStart(n,i,r,a);case\"pinchend\":return new p.PinchEnd(n,i,r,a);case\"rotate\":return new p.Rotate(n,i,r,a,t.rotation);case\"rotatestart\":return new p.RotateStart(n,i,r,a);case\"rotateend\":return new p.RotateEnd(n,i,r,a);default:return}})();null!=e&&this.plot_view.model.trigger_event(e)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=h.offset(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:_.getDeltaY(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){const e=this._tap_event(t);this._trigger_bokeh_event(e),this.trigger(this.doubletap,e)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEvents=d,d.__name__=\"UIEvents\"},\n",
+       "      function _(e,t,n){\n",
+       "      /*!\n",
+       "           * jQuery Mousewheel 3.1.13\n",
+       "           *\n",
+       "           * Copyright jQuery Foundation and other contributors\n",
+       "           * Released under the MIT license\n",
+       "           * http://jquery.org/license\n",
+       "           */\n",
+       "      function r(e){const t=getComputedStyle(e).fontSize;return null!=t?parseInt(t,10):null}Object.defineProperty(n,\"__esModule\",{value:!0}),n.getDeltaY=function(e){let t=-e.deltaY;if(e.target instanceof HTMLElement)switch(e.deltaMode){case e.DOM_DELTA_LINE:t*=r((n=e.target).offsetParent||document.body)||r(n)||16;break;case e.DOM_DELTA_PAGE:t*=function(e){return e.clientHeight}(e.target)}var n;return t}},\n",
+       "      function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=(\"undefined\"!=typeof window?window.requestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.webkitRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.mozRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.msRequestAnimationFrame:void 0)||function(n){return n(Date.now()),-1};o.throttle=function(n,e){let o=null,i=0,u=!1;return function(){return new Promise((d,w)=>{const r=function(){i=Date.now(),o=null,u=!1;try{n(),d()}catch(n){w(n)}},a=Date.now(),f=e-(a-i);f<=0&&!u?(null!=o&&clearTimeout(o),u=!0,t(r)):o||u?d():o=setTimeout(()=>t(r),f)})}}},\n",
+       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const l=i(189),a=i(190),r=i(8),o=Math.PI/2,h=\"left\",s=\"center\",n={above:{parallel:0,normal:-o,horizontal:0,vertical:-o},below:{parallel:0,normal:o,horizontal:0,vertical:o},left:{parallel:-o,normal:0,horizontal:0,vertical:-o},right:{parallel:o,normal:0,horizontal:0,vertical:o}},d={above:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"alphabetic\",vertical:\"middle\"},below:{justified:\"bottom\",parallel:\"hanging\",normal:\"middle\",horizontal:\"hanging\",vertical:\"middle\"},left:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"},right:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"}},_={above:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},below:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},left:{justified:s,parallel:s,normal:\"right\",horizontal:\"right\",vertical:s},right:{justified:s,parallel:s,normal:h,horizontal:h,vertical:s}},c={above:\"right\",below:h,left:\"right\",right:h},m={above:h,below:\"right\",left:\"right\",right:h};class g extends a.ContentLayoutable{constructor(i,t){switch(super(),this.side=i,this.obj=t,this.side){case\"above\":this._dim=0,this._normals=[0,-1];break;case\"below\":this._dim=0,this._normals=[0,1];break;case\"left\":this._dim=1,this._normals=[-1,0];break;case\"right\":this._dim=1,this._normals=[1,0]}this.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){return new l.Sizeable(this.get_oriented_size())}get_oriented_size(){const{width:i,height:t}=this.obj.get_size();return!this.obj.rotate||this.is_horizontal?{width:i,height:t}:{width:t,height:i}}has_size_changed(){const{width:i,height:t}=this.get_oriented_size();return this.is_horizontal?this.bbox.height!=t:this.bbox.width!=i}get dimension(){return this._dim}get normals(){return this._normals}get is_horizontal(){return 0==this._dim}get is_vertical(){return 1==this._dim}apply_label_text_heuristics(i,t){const e=this.side;let l,a;r.isString(t)?(l=d[e][t],a=_[e][t]):t<0?(l=\"middle\",a=c[e]):(l=\"middle\",a=m[e]),i.textBaseline=l,i.textAlign=a}get_label_angle_heuristic(i){return n[this.side][i]}}e.SidePanel=g,g.__name__=\"SidePanel\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(14),o=t(68),a=t(32),n=t(290),p=new i.Signal0({},\"gmaps_ready\");class l extends n.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){!function(t){window._bokeh_gmaps_callback=()=>p.emit();const e=document.createElement(\"script\");e.type=\"text/javascript\",e.src=`https://maps.googleapis.com/maps/api/js?v=3.36&key=${t}&callback=_bokeh_gmaps_callback`,document.body.appendChild(e)}(atob(this.model.api_key))}p.connect(()=>this.request_render())}this.unpause()}remove(){o.remove(this.map_el),super.remove()}update_range(t){if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(t.sdx||0,t.sdy||0),super.update_range(t);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t);const e=t.factor<0?-1:1,s=this.map.getZoom(),i=s+e;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<0&&this.map.setZoom(s)}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=o.div({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",()=>this._set_bokeh_ranges()),t.event.addListener(this.map,\"bounds_changed\",()=>this._set_bokeh_ranges()),t.event.addListenerOnce(this.map,\"tilesloaded\",()=>this._render_finished()),this.connect(this.model.properties.map_options.change,()=>this._update_options()),this.connect(this.model.map_options.properties.styles.change,()=>this._update_styles()),this.connect(this.model.map_options.properties.lat.change,()=>this._update_center(\"lat\")),this.connect(this.model.map_options.properties.lng.change,()=>this._update_center(\"lng\")),this.connect(this.model.map_options.properties.zoom.change,()=>this._update_zoom()),this.connect(this.model.map_options.properties.map_type.change,()=>this._update_map_type()),this.connect(this.model.map_options.properties.scale_control.change,()=>this._update_scale_control()),this.connect(this.model.map_options.properties.tilt.change,()=>this._update_tilt())}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,i]=this._get_latlon_bounds(),[o,n]=a.wgs84_mercator.forward([t,s]),[p,l]=a.wgs84_mercator.forward([e,i]);return[o,p,n,l]}_set_bokeh_ranges(){const[t,e,s,i]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:i})}_update_center(t){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,i,o]=e;this.map_el.style.top=s+\"px\",this.map_el.style.left=t+\"px\",this.map_el.style.width=i+\"px\",this.map_el.style.height=o+\"px\"}}_paint_empty(t,e){const s=this.layout._width.value,i=this.layout._height.value,[o,a,n,p]=e;t.clearRect(0,0,s,i),t.beginPath(),t.moveTo(0,0),t.lineTo(0,i),t.lineTo(s,i),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(o,a),t.lineTo(o+n,a),t.lineTo(o+n,a+p),t.lineTo(o,a+p),t.lineTo(o,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=this.model.border_fill_color,t.fill())}}s.GMapPlotView=l,l.__name__=\"GMapPlotView\"},\n",
+       "      function _(a,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});var g=a(187);n.DataRange=g.DataRange;var R=a(186);n.DataRange1d=R.DataRange1d;var r=a(90);n.FactorRange=r.FactorRange;var t=a(91);n.Range=t.Range;var d=a(131);n.Range1d=d.Range1d},\n",
+       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var n=e(81);d.GlyphRenderer=n.GlyphRenderer;var R=e(100);d.GraphRenderer=R.GraphRenderer;var a=e(151);d.GuideRenderer=a.GuideRenderer;var G=e(65);d.Renderer=G.Renderer},\n",
+       "      function _(a,e,c){Object.defineProperty(c,\"__esModule\",{value:!0});var l=a(185);c.CategoricalScale=l.CategoricalScale;var o=a(121);c.ContinuousScale=o.ContinuousScale;var r=a(120);c.LinearScale=r.LinearScale;var S=a(130);c.LogScale=S.LogScale;var n=a(122);c.Scale=n.Scale},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(1).__exportStar(e(102),o);var n=e(79);o.Selection=n.Selection},\n",
+       "      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var o=a(302);r.ServerSentDataSource=o.ServerSentDataSource;var S=a(304);r.AjaxDataSource=S.AjaxDataSource;var u=a(76);r.ColumnDataSource=u.ColumnDataSource;var t=a(77);r.ColumnarDataSource=t.ColumnarDataSource;var c=a(98);r.CDSView=c.CDSView;var D=a(78);r.DataSource=D.DataSource;var v=a(305);r.GeoJSONDataSource=v.GeoJSONDataSource;var n=a(303);r.WebDataSource=n.WebDataSource},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(303);class s extends a.WebDataSource{constructor(e){super(e),this.initialized=!1}destroy(){super.destroy()}setup(){if(!this.initialized){this.initialized=!0,new EventSource(this.data_url).onmessage=e=>{this.load_data(JSON.parse(e.data),this.mode,this.max_size)}}}}i.ServerSentDataSource=s,s.__name__=\"ServerSentDataSource\"},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(1),s=e(76),i=r.__importStar(e(18));class n extends s.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:r}=this;let s;switch(s=null!=r?r.execute(this,{response:e}):e,t){case\"replace\":this.data=s;break;case\"append\":{const e=this.data;for(const t of this.columns()){const r=Array.from(e[t]),i=Array.from(s[t]);s[t]=r.concat(i).slice(-a)}this.data=s;break}}}static init_WebDataSource(){this.define({mode:[i.UpdateMode,\"replace\"],max_size:[i.Number],adapter:[i.Any,null],data_url:[i.String]})}}a.WebDataSource=n,n.__name__=\"WebDataSource\",n.init_WebDataSource()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(303),r=t(72),o=s.__importStar(t(18));class n extends a.WebDataSource{constructor(t){super(t),this.initialized=!1}static init_AjaxDataSource(){this.define({polling_interval:[o.Number],content_type:[o.String,\"application/json\"],http_headers:[o.Any,{}],method:[o.HTTPMethod,\"POST\"],if_modified:[o.Boolean,!1]})}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=0,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",()=>this.do_load(s,t,e)),s.addEventListener(\"error\",()=>this.do_error(s)),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const i in e){const s=e[i];t.setRequestHeader(i,s)}return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){r.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=n,n.__name__=\"AjaxDataSource\",n.init_AjaxDataSource()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1),n=e(77),s=e(72),a=r.__importStar(e(18)),i=e(9);function l(e){return null!=e?e:NaN}class c extends n.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define({geojson:[a.Any]}),this.internal({data:[a.Any,{}]})}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,()=>this._update_data())}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return i.range(0,e).map(e=>[])}_get_new_nan_array(e){return i.range(0,e).map(e=>NaN)}_add_properties(e,t,o,r){const n=e.properties||{};for(const e in n)t.hasOwnProperty(e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=l(n[e])}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=l(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"Polygon\":{e.coordinates.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPoint\":s.logger.warn(\"MultiPoint not supported in Bokeh\");break;case\"MultiLineString\":{const n=e.coordinates.reduce(r);for(let e=0;e<n.length;e++){const[r,s,a]=n[e];t.xs[o][e]=r,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPolygon\":{const n=[];for(const t of e.coordinates)t.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const a=n.reduce(r);for(let e=0;e<a.length;e++){const[r,n,s]=a[e];t.xs[o][e]=r,t.ys[o][e]=n,t.zs[o][e]=l(s)}break}default:throw new Error(\"Invalid GeoJSON geometry type: \"+e.type)}}geojson_to_column_data(){const e=JSON.parse(this.geojson);let t;switch(e.type){case\"GeometryCollection\":if(null==e.geometries)throw new Error(\"No geometries found in GeometryCollection\");if(0===e.geometries.length)throw new Error(\"geojson.geometries must have one or more items\");t=e.geometries;break;case\"FeatureCollection\":if(null==e.features)throw new Error(\"No features found in FeaturesCollection\");if(0==e.features.length)throw new Error(\"geojson.features must have one or more items\");t=e.features;break;default:throw new Error(\"Bokeh only supports type GeometryCollection and FeatureCollection at top level\")}let o=0;for(const e of t){const t=\"Feature\"===e.type?e.geometry:e;\"GeometryCollection\"==t.type?o+=t.geometries.length:o+=1}const r={x:this._get_new_nan_array(o),y:this._get_new_nan_array(o),z:this._get_new_nan_array(o),xs:this._get_new_list_array(o),ys:this._get_new_list_array(o),zs:this._get_new_list_array(o)};let n=0;for(const e of t){const t=\"Feature\"==e.type?e.geometry:e;if(\"GeometryCollection\"==t.type)for(const s of t.geometries)this._add_geometry(s,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1;else this._add_geometry(t,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1}return r}}o.GeoJSONDataSource=c,c.__name__=\"GeoJSONDataSource\",c.init_GeoJSONDataSource()},\n",
+       "      function _(e,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});var c=e(110);i.AdaptiveTicker=c.AdaptiveTicker;var a=e(109);i.BasicTicker=a.BasicTicker;var k=e(153);i.CategoricalTicker=k.CategoricalTicker;var T=e(164);i.CompositeTicker=T.CompositeTicker;var t=e(111);i.ContinuousTicker=t.ContinuousTicker;var o=e(163);i.DatetimeTicker=o.DatetimeTicker;var v=e(165);i.DaysTicker=v.DaysTicker;var n=e(307);i.FixedTicker=n.FixedTicker;var s=e(172);i.LogTicker=s.LogTicker;var l=e(175);i.MercatorTicker=l.MercatorTicker;var u=e(168);i.MonthsTicker=u.MonthsTicker;var d=e(166);i.SingleIntervalTicker=d.SingleIntervalTicker;var g=e(112);i.Ticker=g.Ticker;var C=e(169);i.YearsTicker=C.YearsTicker},\n",
+       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),n=i(111),s=r.__importStar(i(18));class _ extends n.ContinuousTicker{constructor(i){super(i),this.min_interval=0,this.max_interval=0}static init_FixedTicker(){this.define({ticks:[s.Array,[]],minor_ticks:[s.Array,[]]})}get_ticks_no_defaults(i,t,e,r){return{major:this.ticks,minor:this.minor_ticks}}get_interval(i,t,e){return 0}}e.FixedTicker=_,_.__name__=\"FixedTicker\",_.init_FixedTicker()},\n",
+       "      function _(e,r,o){Object.defineProperty(o,\"__esModule\",{value:!0});var T=e(309);o.BBoxTileSource=T.BBoxTileSource;var c=e(310);o.MercatorTileSource=c.MercatorTileSource;var i=e(313);o.QUADKEYTileSource=i.QUADKEYTileSource;var l=e(314);o.TileRenderer=l.TileRenderer;var S=e(311);o.TileSource=S.TileSource;var u=e(318);o.TMSTileSource=u.TMSTileSource;var a=e(315);o.WMTSTileSource=a.WMTSTileSource},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1),i=e(310),l=o.__importStar(e(18));class _ extends i.MercatorTileSource{constructor(e){super(e)}static init_BBoxTileSource(){this.define({use_latlon:[l.Boolean,!1]})}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let i,l,_,n;return this.use_latlon?[l,n,i,_]=this.get_tile_geographic_bounds(e,t,r):[l,n,i,_]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",l.toString()).replace(\"{YMIN}\",n.toString()).replace(\"{XMAX}\",i.toString()).replace(\"{YMAX}\",_.toString())}}r.BBoxTileSource=_,_.__name__=\"BBoxTileSource\",_.init_BBoxTileSource()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const _=t(1),s=t(311),r=_.__importStar(t(18)),o=t(9),n=t(312);class l extends s.TileSource{constructor(t){super(t)}static init_MercatorTileSource(){this.define({snap_to_zoom:[r.Boolean,!1],wrap_around:[r.Boolean,!0]}),this.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})}initialize(){super.initialize(),this._resolutions=o.range(this.min_zoom,this.max_zoom+1).map(t=>this.get_resolution(t))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)<Math.abs(t-r)?e:t}));return this._resolutions.indexOf(o)}snap_to_zoom_level(t,e,i,_){const[s,r,o,n]=t,l=this._resolutions[_];let u=i*l,a=e*l;if(!this.snap_to_zoom){const t=(o-s)/u,e=(n-r)/a;t>e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);return i=0===i?i:i-1,[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<<i)-e]}meters_to_tile(t,e,i){const[_,s]=this.meters_to_pixels(t,e,i);return this.pixels_to_tile(_,s)}get_tile_meter_bounds(t,e,i){const[_,s]=this.pixels_to_meters(t*this.tile_size,e*this.tile_size,i),[r,o]=this.pixels_to_meters((t+1)*this.tile_size,(e+1)*this.tile_size,i);return[_,s,r,o]}get_tile_geographic_bounds(t,e,i){const _=this.get_tile_meter_bounds(t,e,i),[s,r,o,l]=n.meters_extent_to_geographic(_);return[s,r,o,l]}get_tiles_by_extent(t,e,i=1){const[_,s,r,o]=t;let[n,l]=this.meters_to_tile(_,s,e),[u,a]=this.meters_to_tile(r,o,e);n-=i,l-=i,u+=i,a+=i;const h=[];for(let t=a;t>=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<<s-1;switch(t.charAt(_-s)){case\"0\":continue;case\"1\":e|=r;break;case\"2\":i|=r;break;case\"3\":e|=r,i|=r;break;default:throw new TypeError(\"Invalid Quadkey: \"+t)}}return[e,i,_]}tile_xyz_to_quadkey(t,e,i){let _=\"\";for(let s=i;s>0;s--){const i=1<<s-1;let r=0;0!=(t&i)&&(r+=1),0!=(e&i)&&(r+=2),_+=r.toString()}return _}children_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=[];for(let t=0;t<=3;t++){const[e,i,r]=this.quadkey_to_tile_xyz(_+t.toString()),o=this.get_tile_meter_bounds(e,i,r);s.push([e,i,r,o])}return s}get_closest_parent_by_tile_xyz(t,e,i){const _=this.calculate_world_x_by_tile_xyz(t,e,i);[t,e,i]=this.normalize_xyz(t,e,i);let s=this.tile_xyz_to_quadkey(t,e,i);for(;s.length>0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),s=e(17),l=i.__importStar(e(18));class a extends n.Model{constructor(e){super(e)}static init_TileSource(){this.define({url:[l.String,\"\"],tile_size:[l.Number,256],max_zoom:[l.Number,30],min_zoom:[l.Number,0],extra_url_vars:[l.Any,{}],attribution:[l.String,\"\"],x_origin_offset:[l.Number],y_origin_offset:[l.Number],initial_resolution:[l.Number]})}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._clear_cache())}string_lookup_replace(e,t){let r=e;for(const[e,i]of s.entries(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map(e=>parseInt(e));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,s]=t,l=(n-r)/2+r,a=(s-i)/2+i;e.sort((function(e,t){return Math.sqrt((l-e[0])**2+(a-e[1])**2)-Math.sqrt((l-t[0])**2+(a-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=a,a.__name__=\"TileSource\",a.init_TileSource()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(32);function o(e,t){return n.wgs84_mercator.forward([e,t])}function c(e,t){return n.wgs84_mercator.inverse([e,t])}r.geographic_to_meters=o,r.meters_to_geographic=c,r.geographic_extent_to_meters=function(e){const[t,r,n,c]=e,[_,i]=o(t,r),[s,u]=o(n,c);return[_,i,s,u]},r.meters_extent_to_geographic=function(e){const[t,r,n,o]=e,[_,i]=c(t,r),[s,u]=c(n,o);return[_,i,s,u]}},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const _=e(310);class s extends _.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const _=this.string_lookup_replace(this.url,this.extra_url_vars),[s,o,u]=this.tms_to_wmts(e,t,r),c=this.tile_xyz_to_quadkey(s,o,u);return _.replace(\"{Q}\",c)}}r.QUADKEYTileSource=s,s.__name__=\"QUADKEYTileSource\"},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),_=e(315),a=e(82),n=e(131),r=e(68),h=s.__importStar(e(18)),l=e(224),o=e(9),d=e(8),m=e(80),c=e(76),u=e(316),p=s.__importDefault(e(317));class g extends a.DataRendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.tile_source.change,()=>this.request_render())}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&r.removeElement(this.attribution_el);const{attribution:e}=this.model.tile_source;if(d.isString(e)&&e.length>0){const{layout:t,frame:i}=this.plot_view,s=t._width.value-i._right.value,_=t._height.value-i._bottom.value,a=i._width.value;this.attribution_el=r.div({class:u.bk_tile_attribution,style:{position:\"absolute\",right:s+\"px\",bottom:_+\"px\",\"max-width\":a-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=e,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const e=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value),t=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value,e);this.x_range.start=t[0],this.y_range.start=t[1],this.x_range.end=t[2],this.y_range.end=t[3],this.x_range instanceof n.Range1d&&(this.x_range.reset_start=t[0],this.x_range.reset_end=t[2]),this.y_range instanceof n.Range1d&&(this.y_range.reset_start=t[1],this.y_range.reset_end=t[3]),this._update_attribution()}_create_tile(e,t,i,s,_=!1){const[a,n,r]=this.model.tile_source.normalize_xyz(e,t,i),h={img:void 0,tile_coords:[e,t,i],normalized_coords:[a,n,r],quadkey:this.model.tile_source.tile_xyz_to_quadkey(e,t,i),cache_key:this.model.tile_source.tile_xyz_to_key(e,t,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},o=this.model.tile_source.get_image_url(a,n,r);new l.ImageLoader(o,{loaded:e=>{Object.assign(h,{img:e,loaded:!0}),_?(h.finished=!0,this.notify_finished()):this.request_render()},failed(){h.finished=!0}}),this.model.tile_source.tiles.set(h.cache_key,h),this._tiles.push(h)}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame._height.value||this._last_width!==this.map_frame._width.value){const e=this.get_extent(),t=this.model.tile_source.get_level_by_extent(e,this.map_frame._height.value,this.map_frame._width.value),i=this.model.tile_source.snap_to_zoom_level(e,this.map_frame._height.value,this.map_frame._width.value,t);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame._height.value,this._last_width=this.map_frame._width.value}}has_finished(){if(!super.has_finished())return!1;if(0===this._tiles.length)return!1;for(const e of this._tiles)if(!e.finished)return!1;return!0}render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(e){const t=this.model.tile_source.tiles.get(e);if(null!=t&&t.loaded){const[[e],[i]]=this.plot_view.map_to_screen([t.bounds[0]],[t.bounds[3]]),[[s],[_]]=this.plot_view.map_to_screen([t.bounds[2]],[t.bounds[1]]),a=s-e,n=_-i,r=e,h=i,l=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(t.img,r,h,a,n),this.map_canvas.setImageSmoothingEnabled(l),t.finished=!0}}_set_rect(){const e=this.plot_model.properties.outline_line_width.value(),t=this.map_frame._left.value+e/2,i=this.map_frame._top.value+e/2,s=this.map_frame._width.value-e,_=this.map_frame._height.value-e;this.map_canvas.rect(t,i,s,_),this.map_canvas.clip()}_render_tiles(e){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const t of e)this._draw_tile(t);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:e}=this.model,t=this.get_extent(),i=this.map_frame._height.value,s=this.map_frame._width.value,_=this.model.tile_source.get_level_by_extent(t,i,s),a=this.model.tile_source.get_tiles_by_extent(t,_);for(let t=0,i=Math.min(10,a.length);t<i;t++){const[i,s,_]=a[t],n=this.model.tile_source.children_by_tile_xyz(i,s,_);for(const t of n){const[i,s,_,a]=t;e.tiles.has(e.tile_xyz_to_key(i,s,_))||this._create_tile(i,s,_,a,!0)}}}_fetch_tiles(e){for(const t of e){const[e,i,s,_]=t;this._create_tile(e,i,s,_)}}_update(){const{tile_source:e}=this.model,{min_zoom:t}=e,{max_zoom:i}=e;let s=this.get_extent();const _=this.extent[2]-this.extent[0]<s[2]-s[0],a=this.map_frame._height.value,n=this.map_frame._width.value;let r=e.get_level_by_extent(s,a,n),h=!1;r<t?(s=this.extent,r=t,h=!0):r>i&&(s=this.extent,r=i,h=!0),h&&(this.x_range.setv({x_range:{start:s[0],end:s[2]}}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const l=e.get_tiles_by_extent(s,r),d=[],m=[],c=[],u=[];for(const t of l){const[i,s,a]=t,n=e.tile_xyz_to_key(i,s,a),r=e.tiles.get(n);if(null!=r&&r.loaded)m.push(n);else if(this.model.render_parents){const[t,n,r]=e.get_closest_parent_by_tile_xyz(i,s,a),h=e.tile_xyz_to_key(t,n,r),l=e.tiles.get(h);if(null!=l&&l.loaded&&!o.includes(c,h)&&c.push(h),_){const t=e.children_by_tile_xyz(i,s,a);for(const[i,s,_]of t){const t=e.tile_xyz_to_key(i,s,_);e.tiles.has(t)&&u.push(t)}}}null==r&&d.push(t)}this._render_tiles(c),this._render_tiles(u),this._render_tiles(m),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout(()=>this._fetch_tiles(d),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class f extends a.DataRenderer{constructor(e){super(e),this._selection_manager=new m.SelectionManager({source:new c.ColumnDataSource})}static init_TileRenderer(){this.prototype.default_view=g,this.define({alpha:[h.Number,1],smoothing:[h.Boolean,!0],tile_source:[h.Instance,()=>new _.WMTSTileSource],render_parents:[h.Boolean,!0]})}get_selection_manager(){return this._selection_manager}}i.TileRenderer=f,f.__name__=\"TileRenderer\",f.init_TileRenderer()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(310);class s extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,_]=this.tms_to_wmts(e,t,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",_.toString())}}r.WMTSTileSource=s,s.__name__=\"WMTSTileSource\"},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.bk_tile_attribution=\"bk-tile-attribution\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default=\"\\n.bk-root .bk-tile-attribution a {\\n  color: black;\\n}\\n\"},\n",
+       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(310);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=c,c.__name__=\"TMSTileSource\"},\n",
+       "      function _(e,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});var t=e(320);a.CanvasTexture=t.CanvasTexture;var u=e(322);a.ImageURLTexture=u.ImageURLTexture;var v=e(321);a.Texture=v.Texture},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),c=t(321),s=r.__importStar(t(18)),i=t(24);class a extends c.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define({code:[s.String]})}get func(){const t=i.use_strict(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){return r=>{const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),r.createPattern(c,this.repetition)}}}n.CanvasTexture=a,a.__name__=\"CanvasTexture\",a.init_CanvasTexture()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(71),o=r.__importStar(e(18));class _ extends n.Model{constructor(e){super(e)}static init_Texture(){this.define({repetition:[o.TextureRepetition,\"repeat\"]})}onload(e){e()}}i.Texture=_,_.__name__=\"Texture\",_.init_Texture()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),a=e(321),n=r.__importStar(e(18)),s=e(224);class o extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define({url:[n.String]})}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){return e=>this._loader.finished?e.createPattern(this._loader.image,this.repetition):null}onload(e){this._loader.promise.then(()=>e())}}i.ImageURLTexture=o,o.__name__=\"ImageURLTexture\",o.init_ImageURLTexture()},\n",
+       "      function _(o,l,T){Object.defineProperty(T,\"__esModule\",{value:!0});var a=o(285);T.ActionTool=a.ActionTool;var r=o(324);T.CustomAction=r.CustomAction;var e=o(286);T.HelpTool=e.HelpTool;var v=o(325);T.RedoTool=v.RedoTool;var t=o(326);T.ResetTool=t.ResetTool;var n=o(327);T.SaveTool=n.SaveTool;var s=o(328);T.UndoTool=s.UndoTool;var i=o(329);T.ZoomInTool=i.ZoomInTool;var P=o(331);T.ZoomOutTool=P.ZoomOutTool;var c=o(275);T.ButtonTool=c.ButtonTool;var d=o(332);T.EditTool=d.EditTool;var u=o(333);T.BoxEditTool=u.BoxEditTool;var y=o(334);T.FreehandDrawTool=y.FreehandDrawTool;var m=o(335);T.PointDrawTool=m.PointDrawTool;var x=o(336);T.PolyDrawTool=x.PolyDrawTool;var B=o(337);T.PolyTool=B.PolyTool;var S=o(338);T.PolyEditTool=S.PolyEditTool;var b=o(339);T.BoxSelectTool=b.BoxSelectTool;var h=o(342);T.BoxZoomTool=h.BoxZoomTool;var E=o(284);T.GestureTool=E.GestureTool;var Z=o(343);T.LassoSelectTool=Z.LassoSelectTool;var p=o(344);T.LineEditTool=p.LineEditTool;var w=o(346);T.PanTool=w.PanTool;var C=o(347);T.PolySelectTool=C.PolySelectTool;var D=o(348);T.RangeTool=D.RangeTool;var H=o(340);T.SelectTool=H.SelectTool;var R=o(349);T.TapTool=R.TapTool;var A=o(350);T.WheelPanTool=A.WheelPanTool;var I=o(351);T.WheelZoomTool=I.WheelZoomTool;var L=o(352);T.CrosshairTool=L.CrosshairTool;var W=o(353);T.CustomJSHover=W.CustomJSHover;var O=o(354);T.HoverTool=O.HoverTool;var _=o(274);T.InspectTool=_.InspectTool;var f=o(277);T.Tool=f.Tool;var g=o(355);T.ToolProxy=g.ToolProxy;var F=o(273);T.Toolbar=F.Toolbar;var G=o(283);T.ToolbarBase=G.ToolbarBase;var J=o(357);T.ProxyToolbar=J.ProxyToolbar;var U=o(357);T.ToolbarBox=U.ToolbarBox},\n",
+       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(285),e=n.__importStar(t(18)),c=t(278);class _ extends s.ActionToolButtonView{css_classes(){return super.css_classes().concat(c.bk_toolbar_button_custom_action)}}i.CustomActionButtonView=_,_.__name__=\"CustomActionButtonView\";class l extends s.ActionToolView{doit(){null!=this.model.callback&&this.model.callback.execute(this.model)}}i.CustomActionView=l,l.__name__=\"CustomActionView\";class u extends s.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=_}static init_CustomAction(){this.prototype.default_view=l,this.define({action_tooltip:[e.String,\"Perform a Custom Action\"],callback:[e.Any],icon:[e.String]})}get tooltip(){return this.action_tooltip}}i.CustomAction=u,u.__name__=\"CustomAction\",u.init_CustomAction()},\n",
+       "      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(285),s=o(287);class n extends i.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_redo())}doit(){this.plot_view.redo()}}t.RedoToolView=n,n.__name__=\"RedoToolView\";class _ extends i.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=s.bk_tool_icon_redo}static init_RedoTool(){this.prototype.default_view=n,this.override({disabled:!0}),this.register_alias(\"redo\",()=>new _)}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(285),i=e(287);class _ extends s.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=_,_.__name__=\"ResetToolView\";class l extends s.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=i.bk_tool_icon_reset}static init_ResetTool(){this.prototype.default_view=_,this.register_alias(\"reset\",()=>new l)}}o.ResetTool=l,l.__name__=\"ResetTool\",l.init_ResetTool()},\n",
+       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(285),s=e(287);class _ extends i.ActionToolView{doit(){this.plot_view.save(\"bokeh_plot\")}}t.SaveToolView=_,_.__name__=\"SaveToolView\";class a extends i.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=s.bk_tool_icon_save}static init_SaveTool(){this.prototype.default_view=_,this.register_alias(\"save\",()=>new a)}}t.SaveTool=a,a.__name__=\"SaveTool\",a.init_SaveTool()},\n",
+       "      function _(o,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=o(285),i=o(287);class s extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_undo())}doit(){this.plot_view.undo()}}e.UndoToolView=s,s.__name__=\"UndoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=i.bk_tool_icon_undo}static init_UndoTool(){this.prototype.default_view=s,this.override({disabled:!0}),this.register_alias(\"undo\",()=>new _)}}e.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n",
+       "      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),n=o(285),s=o(330),_=e.__importStar(o(18)),m=o(287);class l extends n.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,n=s.scale_range(o,this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:n}),this.plot_view.update_range(n,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomInToolView=l,l.__name__=\"ZoomInToolView\";class h extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom In\",this.icon=m.bk_tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_in\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_in\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_in\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomInTool=h,h.__name__=\"ZoomInTool\",h.init_ZoomInTool()},\n",
+       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=n(10);function r(n,t,e){const[o,r]=[n.start,n.end],c=null!=e?e:(r+o)/2;return[o-(o-c)*t,r-(r-c)*t]}function c(n,[t,e]){const o={};for(const r in n){const c=n[r],[s,l]=c.r_invert(t,e);o[r]={start:s,end:l}}return o}e.scale_highlow=r,e.get_info=c,e.scale_range=function(n,t,e=!0,s=!0,l){t=o.clamp(t,-.9,.9);const a=e?t:0,[u,i]=r(n.bbox.h_range,a,null!=l?l.x:void 0),_=c(n.xscales,[u,i]),f=s?t:0,[d,b]=r(n.bbox.v_range,f,null!=l?l.y:void 0);return{xrs:_,yrs:c(n.yscales,[d,b]),factor:t}}},\n",
+       "      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),s=o(285),n=o(330),_=e.__importStar(o(18)),m=o(287);class l extends s.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,s=n.scale_range(o,-this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:s}),this.plot_view.update_range(s,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomOutToolView=l,l.__name__=\"ZoomOutToolView\";class h extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom Out\",this.icon=m.bk_tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_out\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_out\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_out\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomOutTool=h,h.__name__=\"ZoomOutTool\",h.init_ZoomOutTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),n=e(9),i=e(8),r=e(11),_=e(284);class c extends _.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void r.unreachable():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){const o=this.plot_view.frame;return o.bbox.contains(e,t)?[o.xscales[s.x_range_name].invert(e),o.yscales[s.y_range_name].invert(t)]:null}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;e<s.length;e++){const t=s[e];o.splice(t-e,1)}}this._emit_cds_changes(t)}_pop_glyphs(e,t){const s=e.columns();if(t&&s.length)for(const o of s){let s=e.get_array(o);const n=s.length-t+1;n<1||(i.isArray(s)||(s=Array.from(s),e.data[o]=s),s.splice(0,n))}}_emit_cds_changes(e,t=!0,s=!0,o=!0){s&&e.selection_manager.clear(),t&&e.change.emit(),o&&(e.data=e.data,e.properties.data.change.emit())}_drag_points(e,t,s=\"both\"){if(null==this._basepoint)return;const[o,n]=this._basepoint;for(const i of t){const t=this._map_drag(o,n,i),r=this._map_drag(e.sx,e.sy,i);if(null==r||null==t)continue;const[_,c]=r,[a,l]=t,[d,u]=[_-a,c-l],m=i.glyph,h=i.data_source,[p,f]=[m.x.field,m.y.field];for(const e of h.selected.indices)!p||\"width\"!=s&&\"both\"!=s||(h.data[p][e]+=d),!f||\"height\"!=s&&\"both\"!=s||(h.data[f][e]+=u);h.change.emit()}this._basepoint=[e.sx,e.sy]}_pad_empty_columns(e,t){for(const s of e.columns())n.includes(t,s)||e.get_array(s).push(this.model.empty_value)}_select_event(e,t,s){const o=this.plot_view.frame,{sx:n,sy:i}=e;if(!o.bbox.contains(n,i))return[];const r={type:\"point\",sx:n,sy:i},_=[];for(const e of s){const s=e.get_selection_manager(),o=e.data_source,n=[this.plot_view.renderer_views.get(e)];s.select(n,r,!0,t)&&_.push(e),o.properties.selected.change.emit()}return _}}s.EditToolView=c,c.__name__=\"EditToolView\";class a extends _.GestureTool{constructor(e){super(e)}static init_EditTool(){this.define({custom_icon:[o.String],custom_tooltip:[o.String],empty_value:[o.Any],renderers:[o.Array,[]]})}get tooltip(){return this.custom_tooltip||this.tool_name}get computed_icon(){return this.custom_icon||this.icon}}s.EditTool=a,a.__name__=\"EditTool\",a.init_EditTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(68),o=i.__importStar(e(18)),n=e(332),a=e(287);class d extends n.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===_.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==_.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.frame,d=n.glyph,l=n.data_source,r=a.xscales[n.x_range_name],h=a.yscales[n.y_range_name],[p,u]=r.r_invert(e,t),[c,m]=h.r_invert(s,i),[f,b]=[(p+u)/2,(c+m)/2],[x,y]=[u-p,m-c],[w,g]=[d.x.field,d.y.field],[v,E]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),w&&l.get_array(w).push(f),g&&l.get_array(g).push(b),v&&l.get_array(v).push(x),E&&l.get_array(E).push(y),this._pad_empty_columns(l,[w,g,v,E]);else{const e=l.data[w].length-1;w&&(l.data[w][e]=f),g&&(l.data[g][e]=b),v&&(l.data[v][e]=x),E&&(l.data[E][e]=y)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=d,d.__name__=\"BoxEditToolView\";class l extends n.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=a.bk_tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}static init_BoxEditTool(){this.prototype.default_view=d,this.define({dimensions:[o.Dimensions,\"both\"],num_objects:[o.Int,0]})}}s.BoxEditTool=l,l.__name__=\"BoxEditTool\",l.init_BoxEditTool()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),r=e(68),_=s.__importStar(e(18)),o=e(8),i=e(332),d=e(287);class n extends i.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,i]=r,d=s.data_source,n=s.glyph,[l,h]=[n.xs.field,n.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),l&&d.get_array(l).push([_]),h&&d.get_array(h).push([i]),this._pad_empty_columns(d,[l,h]);else if(\"add\"==t){if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];o.isArray(t)||(t=Array.from(t),d.data[l][e]=t),t.push(_)}if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];o.isArray(t)||(t=Array.from(t),d.data[h][e]=t),t.push(i)}}this._emit_cds_changes(d,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===r.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=n,n.__name__=\"FreehandDrawToolView\";class l extends i.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=d.bk_tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}static init_FreehandDrawTool(){this.prototype.default_view=n,this.define({num_objects:[_.Int,0]})}}a.FreehandDrawTool=l,l.__name__=\"FreehandDrawTool\",l.init_FreehandDrawTool()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(68),a=s.__importStar(e(18)),n=e(332),_=e(287);class r extends n.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],o=this._map_drag(e.sx,e.sy,t);if(null==o)return;const s=t.glyph,i=t.data_source,[a,n]=[s.x.field,s.y.field],[_,r]=o;this._pop_glyphs(i,this.model.num_objects),a&&i.get_array(a).push(_),n&&i.get_array(n).push(r),this._pad_empty_columns(i,[a,n]),i.change.emit(),i.data=i.data,i.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===i.Keys.Backspace?this._delete_selected(t):e.keyCode==i.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}o.PointDrawToolView=r,r.__name__=\"PointDrawToolView\";class d extends n.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=_.bk_tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}static init_PointDrawTool(){this.prototype.default_view=r,this.define({add:[a.Boolean,!0],drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}o.PointDrawTool=d,d.__name__=\"PointDrawTool\",d.init_PointDrawTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(68),a=i.__importStar(e(18)),o=e(8),n=e(337),_=e(287);class d extends n.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==r)return;const[a,n]=this._snap_to_vertex(e,...r),_=i.data_source,d=i.glyph,[l,h]=[d.xs.field,d.ys.field];if(\"new\"==t)this._pop_glyphs(_,this.model.num_objects),l&&_.get_array(l).push([a,a]),h&&_.get_array(h).push([n,n]),this._pad_empty_columns(_,[l,h]);else if(\"edit\"==t){if(l){const e=_.data[l][_.data[l].length-1];e[e.length-1]=a}if(h){const e=_.data[h][_.data[h].length-1];e[e.length-1]=n}}else if(\"add\"==t){if(l){const e=_.data[l].length-1;let t=_.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=a,o.isArray(t)||(t=Array.from(t),_.data[l][e]=t),t.push(s)}if(h){const e=_.data[h].length-1;let t=_.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=n,o.isArray(t)||(t=Array.from(t),_.data[h][e]=t),t.push(s)}}this._emit_cds_changes(_,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;s<this.model.renderers.length;s++){const i=this.model.renderers[s],r=i.data_source,a=i.glyph,[o,n]=[a.xs.field,a.ys.field];if(o)for(const t of r.get_array(o))Array.prototype.push.apply(e,t);if(n)for(const e of r.get_array(n))Array.prototype.push.apply(t,e);this._drawing&&s==this.model.renderers.length-1&&(e.splice(e.length-1,1),t.splice(t.length-1,1))}this._set_vertices(e,t)}_doubletap(e){this.model.active&&(this._drawing?(this._drawing=!1,this._draw(e,\"edit\",!0)):(this._drawing=!0,this._draw(e,\"new\",!0)))}_move(e){this._drawing&&this._draw(e,\"edit\")}_remove(){const e=this.model.renderers[0],t=e.data_source,s=e.glyph,[i,r]=[s.xs.field,s.ys.field];if(i){const e=t.data[i].length-1,s=t.get_array(i)[e];s.splice(s.length-1,1)}if(r){const e=t.data[r].length-1,s=t.get_array(r)[e];s.splice(s.length-1,1)}this._emit_cds_changes(t)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Backspace?this._delete_selected(t):e.keyCode==r.Keys.Esc&&(this._drawing&&(this._remove(),this._drawing=!1),t.data_source.selection_manager.clear())}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){if(null==this._basepoint||!this.model.drag)return;const[t,s]=this._basepoint;for(const i of this.model.renderers){const r=this._map_drag(t,s,i),a=this._map_drag(e.sx,e.sy,i);if(null==a||null==r)continue;const o=i.data_source,n=i.glyph,[_,d]=[n.xs.field,n.ys.field];if(!_&&!d)continue;const[l,h]=a,[c,g]=r,[p,f]=[l-c,h-g];for(const e of o.selected.indices){let t,s,i;_&&(s=o.data[_][e]),d?(i=o.data[d][e],t=i.length):t=s.length;for(let e=0;e<t;e++)s&&(s[e]+=p),i&&(i[e]+=f)}o.change.emit()}this._basepoint=[e.sx,e.sy]}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source);this._basepoint=null}}activate(){if(this.model.vertex_renderer&&this.model.active){if(this._show_vertices(),!this._initialized)for(const e of this.model.renderers){const t=e.data_source;t.connect(t.properties.data.change,()=>this._show_vertices())}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=d,d.__name__=\"PolyDrawToolView\";class l extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.bk_tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}static init_PolyDrawTool(){this.prototype.default_view=d,this.define({drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),i=e(8),s=e(332);class _ extends s.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,_]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),_&&(i.isArray(t)?o.data[_]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,\"replace\",[this.model.vertex_renderer]),i=this.model.vertex_renderer.data_source,s=this.model.vertex_renderer.glyph,[_,l]=[s.x.field,s.y.field];if(o.length){const e=i.selected.indices[0];_&&(t=i.data[_][e]),l&&(r=i.data[l][e]),i.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class l extends s.EditTool{constructor(e){super(e)}static init_PolyTool(){this.prototype.default_view=_,this.define({vertex_renderer:[o.Instance]})}}r.PolyTool=l,l.__name__=\"PolyTool\",l.init_PolyTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(68),i=e(8),_=e(337),d=e(287);class n extends _.PolyToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this._select_event(e,\"replace\",this.model.renderers);if(!t.length)return this._set_vertices([],[]),this._selected_renderer=null,void(this._drawing=!1);const s=t[0],r=s.glyph,_=s.data_source,d=_.selected.indices[0],[n,l]=[r.xs.field,r.ys.field];let a,c;n?(a=_.data[n][d],i.isArray(a)||(_.data[n][d]=a=Array.from(a))):a=r.xs.value,l?(c=_.data[l][d],i.isArray(c)||(_.data[l][d]=c=Array.from(c))):c=r.ys.value,this._selected_renderer=s,this._set_vertices(a,c)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===r.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==r.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=n,n.__name__=\"PolyEditToolView\";class l extends _.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=d.bk_tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=n}}s.PolyEditTool=l,l.__name__=\"PolyEditTool\",l.init_PolyEditTool()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(340),l=e(107),_=s.__importStar(e(18)),n=e(287);class c extends i.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.push_state(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const _={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(_,i,l)}}o.BoxSelectToolView=c,c.__name__=\"BoxSelectToolView\";const r=()=>new l.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=n.bk_tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=c,this.define({dimensions:[_.Dimensions,\"both\"],select_every_mousemove:[_.Boolean,!1],overlay:[_.Instance,r],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_select\",()=>new h),this.register_alias(\"xbox_select\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_select\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}o.BoxSelectTool=h,h.__name__=\"BoxSelectTool\",h.init_BoxSelectTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),r=e(81),c=e(100),i=e(341),l=n.__importStar(e(18)),a=e(68),d=e(291),_=e(14),h=e(11);class u extends o.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect(()=>this._clear())}get computed_renderers(){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;return i.compute_renderers(e,t,s)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof r.GlyphRenderer)n=s.data_source;else{if(!(s instanceof c.GraphRenderer))continue;n=s.node_renderer.data_source}const o=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...o,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void h.unreachable():this.model.mode}_keyup(e){e.keyCode==a.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();this.plot_view.request_render()}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,o]of n){const n=o[0].get_selection_manager(),r=[];for(const e of o){const t=this.plot_view.renderer_views.get(e);null!=t&&r.push(t)}n.select(r,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{frame:s}=this.plot_view,n=s.xscales.default,o=s.yscales.default;let r;switch(e.type){case\"point\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:s,sy0:c,sy1:i}=e,[l,a]=n.r_invert(t,s),[d,_]=o.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:l,y0:d,x1:a,y1:_});break}case\"poly\":{const{sx:t,sy:s}=e,c=n.v_invert(t),i=o.v_invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new d.SelectionGeometry(r,t))}}s.SelectToolView=u,u.__name__=\"SelectToolView\";class p extends o.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new _.Signal0(this,\"clear\")}static init_SelectTool(){this.define({renderers:[l.Any,\"auto\"],names:[l.Array,[]],mode:[l.Any,\"replace\"]})}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=p,p.__name__=\"SelectTool\",p.init_SelectTool()},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(9);t.compute_renderers=function(e,n,t){if(null==e)return[];let u=\"auto\"==e?n:e;return t.length>0&&(u=u.filter(e=>r.includes(t,e.name))),u}},\n",
+       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),i=t(284),n=t(107),_=s.__importStar(t(18)),a=t(287);class l extends i.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m<n&&(m=n)),l=Math.abs(p-m),t[1]<=o[1]?(b=t[1],d=t[1]+l/s,d>_&&(d=_)):(d=t[1],b=t[1]-l/s,b<a&&(b=a)),r=Math.abs(d-b),t[0]<=o[0]?p=t[0]+s*r:m=t[0]-s*r,[[m,p],[b,d]]}_compute_limits(t){const o=this.plot_view.frame,e=this.model.dimensions;let s,i,n=this._base_point;if(\"center\"==this.model.origin){const[o,e]=n,[s,i]=t;n=[o-(s-o),e-(i-e)]}return this.model.match_aspect&&\"both\"==e?[s,i]=this._match_aspect(n,t,o):[s,i]=this.model._get_dim_limits(n,t,o,e),[s,i]}_pan_start(t){this._base_point=[t.sx,t.sy]}_pan(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this.model.overlay.update({left:e[0],right:e[1],top:s[0],bottom:s[1]})}_pan_end(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this._update(e,s),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null}_update([t,o],[e,s]){if(Math.abs(o-t)<=5||Math.abs(s-e)<=5)return;const{xscales:i,yscales:n}=this.plot_view.frame,_={};for(const e in i){const s=i[e],[n,a]=s.r_invert(t,o);_[e]={start:n,end:a}}const a={};for(const t in n){const o=n[t],[i,_]=o.r_invert(e,s);a[t]={start:i,end:_}}const l={xrs:_,yrs:a};this.plot_view.push_state(\"box_zoom\",{range:l}),this.plot_view.update_range(l)}}e.BoxZoomToolView=l,l.__name__=\"BoxZoomToolView\";const r=()=>new n.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=a.bk_tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=l,this.define({dimensions:[_.Dimensions,\"both\"],overlay:[_.Instance,r],match_aspect:[_.Boolean,!1],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_zoom\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xbox_zoom\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_zoom\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}e.BoxZoomTool=h,h.__name__=\"BoxZoomTool\",h.init_BoxZoomTool()},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(340),i=e(139),a=e(68),_=o.__importStar(e(18)),c=e(287);class n extends l.SelectToolView{initialize(){super.initialize(),this.data=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_overlay()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_overlay()}_pan_start(e){const{sx:s,sy:t}=e;this.data={sx:[s],sy:[t]}}_pan(e){const{sx:s,sy:t}=e,[o,l]=this.plot_view.frame.bbox.clip(s,t);this.data.sx.push(o),this.data.sy.push(l),this.model.overlay.update({xs:this.data.sx,ys:this.data.sy}),this.model.select_every_mousemove&&this._do_select(this.data.sx,this.data.sy,!1,this._select_mode(e))}_pan_end(e){this._clear_overlay(),this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"lasso_select\",{selection:this.plot_view.get_selection()})}_clear_overlay(){this.model.overlay.update({xs:[],ys:[]})}_do_select(e,s,t,o){const l={type:\"poly\",sx:e,sy:s};this._select(l,t,o)}}t.LassoSelectToolView=n,n.__name__=\"LassoSelectToolView\";const h=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class r extends l.SelectTool{constructor(e){super(e),this.tool_name=\"Lasso Select\",this.icon=c.bk_tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=n,this.define({select_every_mousemove:[_.Boolean,!0],overlay:[_.Instance,h]}),this.register_alias(\"lasso_select\",()=>new r)}}t.LassoSelectTool=r,r.__name__=\"LassoSelectTool\",r.init_LassoSelectTool()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(345),r=s.__importStar(e(18)),_=e(287);class d extends n.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const i of t){1==this._select_event(e,\"replace\",[i]).length&&(this._selected_renderer=i)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[i,s]=[t.x.field,t.y.field],n=e.get_array(i),r=e.get_array(s);this._set_intersection(n,r)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const i=this._select_mode(e);if(0==this._select_event(e,i,[t]).length)return}const i=this._select_mode(e);this._select_event(e,i,[t]),this._select_event(e,i,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[i,s]=[e.x.field,e.y.field];if(i&&s){const e=t.data[i],n=t.data[s];this._selected_renderer.data_source.data[i]=e,this._selected_renderer.data_source.data[s]=n}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}i.LineEditToolView=d,d.__name__=\"LineEditToolView\";class o extends n.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=_.bk_tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_LineEditTool(){this.prototype.default_view=d,this.define({dimensions:[r.Dimensions,\"both\"]})}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.LineEditTool=o,o.__name__=\"LineEditTool\",o.init_LineEditTool()},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1).__importStar(e(18)),o=e(8),s=e(332);class _ extends s.EditToolView{_set_intersection(e,i){const t=this.model.intersection_renderer.glyph,n=this.model.intersection_renderer.data_source,[s,_]=[t.x.field,t.y.field];s&&(o.isArray(e)?n.data[s]=e:t.x={value:e}),_&&(o.isArray(i)?n.data[_]=i:t.y={value:i}),this._emit_cds_changes(n,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}t.LineToolView=_,_.__name__=\"LineToolView\";class r extends s.EditTool{constructor(e){super(e)}static init_LineTool(){this.prototype.default_view=_,this.define({intersection_renderer:[n.Instance]})}}t.LineTool=r,r.__name__=\"LineTool\",r.init_LineTool()},\n",
+       "      function _(t,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),e=t(284),o=i.__importStar(t(18)),a=t(287);class _ extends e.GestureToolView{_pan_start(t){this.last_dx=0,this.last_dy=0;const{sx:s,sy:n}=t,i=this.plot_view.frame.bbox;if(!i.contains(s,n)){const t=i.h_range,e=i.v_range;(s<t.start||s>t.end)&&(this.v_axis_only=!0),(n<e.start||n>e.end)&&(this.h_axis_only=!0)}null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan(t){this._update(t.deltaX,t.deltaY),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.push_state(\"pan\",{range:this.pan_info})}_update(t,s){const n=this.plot_view.frame,i=t-this.last_dx,e=s-this.last_dy,o=n.bbox.h_range,a=o.start-i,_=o.end-i,h=n.bbox.v_range,l=h.start-e,r=h.end-e,d=this.model.dimensions;let c,p,m,u,x,y;\"width\"!=d&&\"both\"!=d||this.v_axis_only?(c=o.start,p=o.end,m=0):(c=a,p=_,m=-i),\"height\"!=d&&\"both\"!=d||this.h_axis_only?(u=h.start,x=h.end,y=0):(u=l,x=r,y=-e),this.last_dx=t,this.last_dy=s;const{xscales:v,yscales:b}=n,g={};for(const t in v){const s=v[t],[n,i]=s.r_invert(c,p);g[t]={start:n,end:i}}const w={};for(const t in b){const s=b[t],[n,i]=s.r_invert(u,x);w[t]={start:n,end:i}}this.pan_info={xrs:g,yrs:w,sdx:m,sdy:y},this.plot_view.update_range(this.pan_info,!0)}}n.PanToolView=_,_.__name__=\"PanToolView\";class h extends e.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=_,this.define({dimensions:[o.Dimensions,\"both\"]}),this.register_alias(\"pan\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xpan\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ypan\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(\"Pan\",this.dimensions)}get icon(){switch(this.dimensions){case\"both\":return a.bk_tool_icon_pan;case\"width\":return a.bk_tool_icon_xpan;case\"height\":return a.bk_tool_icon_ypan}}}n.PanTool=h,h.__name__=\"PanTool\",h.init_PanTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const l=e(1),o=e(340),i=e(139),a=e(68),_=l.__importStar(e(18)),c=e(9),n=e(287);class h extends o.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:c.copy(this.data.sx),ys:c.copy(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=h,h.__name__=\"PolySelectToolView\";const y=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.bk_tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define({overlay:[_.Instance,y]}),this.register_alias(\"poly_select\",()=>new d)}}s.PolySelectTool=d,d.__name__=\"PolySelectTool\",d.init_PolySelectTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(107),l=e(72),a=i.__importStar(e(18)),r=e(284),o=e(287);function _(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function h(e,t,s,i){if(null==t)return!1;const n=s.compute(t);return Math.abs(e-n)<i}function d(e,t,s,i,n){let l=!0;if(null!=n.left&&null!=n.right){const t=s.invert(e);(t<n.left||t>n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=i.invert(t);(e<n.bottom||e>n.top)&&(l=!1)}return l}function u(e,t,s){let i=0;return e>=s.start&&e<=s.end&&(i+=1),t>=s.start&&t<=s.end&&(i+=1),i}function c(e,t,s,i){const n=t.compute(e),l=t.invert(n+s);return l>=i.start&&l<=i.end?l:e}function g(e,t,s){return e>t.start?(t.end=e,s):(t.end=t.start,t.start=e,_(s))}function y(e,t,s){return e<t.end?(t.start=e,s):(t.start=t.end,t.end=e,_(s))}function f(e,t,s,i){const[n,l]=t.r_compute(e.start,e.end),[a,r]=t.r_invert(n+s,l+s),o=u(e.start,e.end,i);u(a,r,i)>=o&&(e.start=a,e.end=r)}s.flip_side=_,s.is_near=h,s.is_inside=d,s.sides_inside=u,s.compute_value=c,s.update_range_end_side=g,s.update_range_start_side=y,s.update_range=f;class p extends r.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,()=>this.model.update_overlay_from_ranges()),null!=this.model.y_range&&this.connect(this.model.y_range.change,()=>this.model.update_overlay_from_ranges())}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,s=this.model.y_range,i=this.plot_view.frame,l=i.xscales.default,a=i.yscales.default,r=this.model.overlay,{left:o,right:_,top:u,bottom:c}=r,g=this.model.overlay.properties.line_width.value()+n.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(h(e.sx,o,l,g)?this.side=1:h(e.sx,_,l,g)?this.side=2:d(e.sx,e.sy,l,a,r)&&(this.side=3)),null!=s&&this.model.y_interaction&&(0==this.side&&h(e.sy,c,a,g)&&(this.side=4),0==this.side&&h(e.sy,u,a,g)?this.side=5:d(e.sx,e.sy,l,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,s=e.deltaX-this.last_dx,i=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.xscales.default,r=t.yscales.default;if(null!=n)if(3==this.side||7==this.side)f(n,a,s,t.x_range);else if(1==this.side){const e=c(n.start,a,s,t.x_range);this.side=y(e,n,this.side)}else if(2==this.side){const e=c(n.end,a,s,t.x_range);this.side=g(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)f(l,r,i,t.y_range);else if(4==this.side){const e=c(l.start,r,i,t.y_range);this.side=y(e,l,this.side)}else if(5==this.side){const e=c(l.end,r,i,t.y_range);this.side=g(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0}}s.RangeToolView=p,p.__name__=\"RangeToolView\";const m=()=>new n.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class v extends r.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=o.bk_tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=p,this.define({x_range:[a.Instance,null],x_interaction:[a.Boolean,!0],y_range:[a.Instance,null],y_interaction:[a.Boolean,!0],overlay:[a.Instance,m]})}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,l.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}s.RangeTool=v,v.__name__=\"RangeTool\",v.init_RangeTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),o=e(340),a=i.__importStar(e(18)),n=e(287);class _ extends o.SelectToolView{_tap(e){const{sx:t,sy:s}=e,i={type:\"point\",sx:t,sy:s};this._select(i,!0,this._select_mode(e))}_select(e,t,s){const i=this.model.callback;if(\"select\"==this.model.behavior){const o=this._computed_renderers_by_data_source();for(const[,a]of o){const o=a[0].get_selection_manager(),n=a.map(e=>this.plot_view.renderer_views.get(e));if(o.select(n,e,t,s)&&null!=i){const{frame:t}=this.plot_view,s=t.xscales[a[0].x_range_name],n=t.yscales[a[0].y_range_name],_=s.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:o.source};i.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.push_state(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=t.get_selection_manager();if(s.inspect(this.plot_view.renderer_views.get(t),e)&&null!=i){const{frame:o}=this.plot_view,a=o.xscales[t.x_range_name],n=o.yscales[t.y_range_name],_=a.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:s.source};i.execute(this.model,l)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class c extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=n.bk_tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=_,this.define({behavior:[a.TapBehavior,\"select\"],callback:[a.Any]}),this.register_alias(\"click\",()=>new c({behavior:\"inspect\"})),this.register_alias(\"tap\",()=>new c)}}s.TapTool=c,c.__name__=\"TapTool\",c.init_TapTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),i=n.__importStar(e(18)),a=e(287);class l extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){const{frame:t}=this.plot_view,s=t.bbox.h_range,n=t.bbox.v_range,[o,i]=[s.start,s.end],[a,l]=[n.start,n.end];let r,h,_,d;switch(this.model.dimension){case\"height\":{const t=Math.abs(l-a);r=o,h=i,_=a-t*e,d=l-t*e;break}case\"width\":{const t=Math.abs(i-o);r=o-t*e,h=i-t*e,_=a,d=l;break}default:throw new Error(\"this shouldn't have happened\")}const{xscales:c,yscales:p}=t,m={};for(const e in c){const t=c[e],[s,n]=t.r_invert(r,h);m[e]={start:s,end:n}}const u={};for(const e in p){const t=p[e],[s,n]=t.r_invert(_,d);u[e]={start:s,end:n}}const w={xrs:m,yrs:u,factor:e};this.plot_view.push_state(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,!1,!0),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}s.WheelPanToolView=l,l.__name__=\"WheelPanToolView\";class r extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=a.bk_tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=l,this.define({dimension:[i.Dimension,\"width\"]}),this.internal({speed:[i.Number,.001]}),this.register_alias(\"xwheel_pan\",()=>new r({dimension:\"width\"})),this.register_alias(\"ywheel_pan\",()=>new r({dimension:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimension)}}s.WheelPanTool=r,r.__name__=\"WheelPanTool\",r.init_WheelPanTool()},\n",
+       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),i=e(284),l=e(330),n=s.__importStar(e(18)),_=e(28),h=e(287);class a extends i.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:l}=e;let n;n=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:n,ctrlKey:i,shiftKey:l})}_scroll(e){const{frame:o}=this.plot_view,t=o.bbox.h_range,s=o.bbox.v_range,{sx:i,sy:n}=e,_=this.model.dimensions,h=(\"width\"==_||\"both\"==_)&&t.start<i&&i<t.end,a=(\"height\"==_||\"both\"==_)&&s.start<n&&n<s.end;if(!(h&&a||this.model.zoom_on_axis))return;const m=this.model.speed*e.delta,r=l.scale_range(o,m,h,a,{x:i,y:n});this.plot_view.push_state(\"wheel_zoom\",{range:r}),this.plot_view.update_range(r,!1,!0,this.model.maintain_focus),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}t.WheelZoomToolView=a,a.__name__=\"WheelZoomToolView\";class m extends i.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=h.bk_tool_icon_wheel_zoom,this.event_type=_.is_mobile?\"pinch\":\"scroll\",this.default_order=10}static init_WheelZoomTool(){this.prototype.default_view=a,this.define({dimensions:[n.Dimensions,\"both\"],maintain_focus:[n.Boolean,!0],zoom_on_axis:[n.Boolean,!0],speed:[n.Number,1/600]}),this.register_alias(\"wheel_zoom\",()=>new m({dimensions:\"both\"})),this.register_alias(\"xwheel_zoom\",()=>new m({dimensions:\"width\"})),this.register_alias(\"ywheel_zoom\",()=>new m({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}t.WheelZoomTool=m,m.__name__=\"WheelZoomTool\",m.init_WheelZoomTool()},\n",
+       "      function _(i,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=i(1),o=i(274),n=i(141),l=t.__importStar(i(18)),h=i(17),a=i(287);class r extends o.InspectToolView{_move(i){if(!this.model.active)return;const{sx:s,sy:e}=i;this.plot_view.frame.bbox.contains(s,e)?this._update_spans(s,e):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,s){const e=this.model.dimensions;\"width\"!=e&&\"both\"!=e||(this.model.spans.width.location=s),\"height\"!=e&&\"both\"!=e||(this.model.spans.height.location=i)}}e.CrosshairToolView=r,r.__name__=\"CrosshairToolView\";class _ extends o.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=a.bk_tool_icon_crosshair}static init_CrosshairTool(){this.prototype.default_view=r,this.define({dimensions:[l.Dimensions,\"both\"],line_color:[l.Color,\"black\"],line_width:[l.Number,1],line_alpha:[l.Number,1]}),this.internal({spans:[l.Any]}),this.register_alias(\"crosshair\",()=>new _)}get tooltip(){return this._get_dim_tooltip(\"Crosshair\",this.dimensions)}get synthetic_renderers(){return h.values(this.spans)}initialize(){super.initialize(),this.spans={width:new n.Span({for_hover:!0,dimension:\"width\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha}),height:new n.Span({for_hover:!0,dimension:\"height\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha})}}}e.CrosshairTool=_,_.__name__=\"CrosshairTool\",_.init_CrosshairTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),o=e(71),i=r.__importStar(e(18)),a=e(17),n=e(24);class u extends o.Model{constructor(e){super(e)}static init_CustomJSHover(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get values(){return a.values(this.args)}_make_code(e,t,s,r){return new Function(...a.keys(this.args),e,t,s,n.use_strict(r))}format(e,t,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,t,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(274),i=e(144),r=e(81),l=e(100),a=e(341),c=n.__importStar(e(93)),d=e(160),_=e(68),p=n.__importStar(e(18)),h=e(20),m=e(17),u=e(8),y=e(99),x=e(287),f=e(145);function v(e,t,s,n,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[e+1]};let a,d;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-s),d=Math.abs(l.x-s)):(a=Math.abs(r.y-n),d=Math.abs(l.y-n));else{const e={x:s,y:n};a=c.dist_2_pts(r,e),d=c.dist_2_pts(l,e)}return a<d?[[r.x,r.y],e]:[[l.x,l.y],e+1]}function w(e,t,s){return[[e[s],t[s]],s]}s._nearest_line_hit=v,s._line_hit=w;class g extends o.InspectToolView{initialize(){super.initialize(),this._ttmodels=null,this._ttviews=new Map}remove(){y.remove_views(this._ttviews),super.remove()}connect_signals(){super.connect_signals();for(const e of this.computed_renderers)e instanceof r.GlyphRenderer?this.connect(e.data_source.inspect,this._update):e instanceof l.GraphRenderer&&(this.connect(e.node_renderer.data_source.inspect,this._update),this.connect(e.edge_renderer.data_source.inspect,this._update));this.connect(this.model.properties.renderers.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.names.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.tooltips.change,()=>this._ttmodels=null)}_compute_ttmodels(){const e=new Map,t=this.model.tooltips;if(null!=t)for(const s of this.computed_renderers){const n=new i.Tooltip({custom:u.isString(t)||u.isFunction(t),attachment:this.model.attachment,show_arrow:this.model.show_arrow});s instanceof r.GlyphRenderer?e.set(s,n):s instanceof l.GraphRenderer&&(e.set(s.node_renderer,n),e.set(s.edge_renderer,n))}return y.build_views(this._ttviews,[...e.values()],{parent:this.plot_view}),e}get computed_renderers(){if(null==this._computed_renderers){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;this._computed_renderers=a.compute_renderers(e,t,s)}return this._computed_renderers}get ttmodels(){return null==this._ttmodels&&(this._ttmodels=this._compute_ttmodels()),this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)?this._inspect(t,s):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let s;if(\"mouse\"==this.model.mode)s={type:\"point\",sx:e,sy:t};else{s={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){e.get_selection_manager().inspect(this.plot_view.renderer_views.get(e),s)}null!=this.model.callback&&this._emit_callback(s)}_update([e,{geometry:t}]){if(!this.model.active)return;if(!(e instanceof r.GlyphRendererView))return;const{model:s}=e;if(\"ignore\"==this.model.muted_policy&&s instanceof r.GlyphRenderer&&s.muted)return;const n=this.ttmodels.get(s);if(null==n)return;n.clear();const o=s.get_selection_manager();let i=o.inspectors.get(s);if(s instanceof r.GlyphRenderer&&(i=s.view.convert_selection_to_subset(i)),i.is_empty())return;const l=o.source,{frame:a}=this.plot_view,{sx:c,sy:d}=t,_=a.xscales[s.x_range_name],p=a.yscales[s.y_range_name],h=_.invert(c),u=p.invert(d),y=e.glyph;for(const s of i.line_indices){let o,r,a=y._x[s+1],m=y._y[s+1],x=s;switch(this.model.line_policy){case\"interp\":[a,m]=y.get_interpolation_hit(s,t),o=_.compute(a),r=p.compute(m);break;case\"prev\":[[o,r],x]=w(y.sx,y.sy,s);break;case\"next\":[[o,r],x]=w(y.sx,y.sy,s+1);break;case\"nearest\":[[o,r],x]=v(s,t,c,d,y.sx,y.sy),a=y._x[x],m=y._y[x];break;default:[o,r]=[c,d]}const f={index:x,x:h,y:u,sx:c,sy:d,data_x:a,data_y:m,rx:o,ry:r,indices:i.line_indices,name:e.model.name};n.add(o,r,this._render_tooltips(l,x,f))}for(const e of i.image_indices){const t={index:e.index,x:h,y:u,sx:c,sy:d},s=this._render_tooltips(l,e,t);n.add(c,d,s)}for(const o of i.indices)if(m.isEmpty(i.multiline_indices)){const t=null!=y._x?y._x[o]:void 0,a=null!=y._y?y._y[o]:void 0;let _,p,m;if(\"snap_to_data\"==this.model.point_policy){let e=y.get_anchor_point(this.model.anchor,o,[c,d]);null==e&&(e=y.get_anchor_point(\"center\",o,[c,d])),_=e.x,p=e.y}else[_,p]=[c,d];m=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const x={index:m,x:h,y:u,sx:c,sy:d,data_x:t,data_y:a,indices:i.indices,name:e.model.name};n.add(_,p,this._render_tooltips(l,m,x))}else for(const a of i.multiline_indices[o.toString()]){let m,x,f,g=y._xs[o][a],b=y._ys[o][a],k=a;switch(this.model.line_policy){case\"interp\":[g,b]=y.get_interpolation_hit(o,a,t),m=_.compute(g),x=p.compute(b);break;case\"prev\":[[m,x],k]=w(y.sxs[o],y.sys[o],a);break;case\"next\":[[m,x],k]=w(y.sxs[o],y.sys[o],a+1);break;case\"nearest\":[[m,x],k]=v(a,t,c,d,y.sxs[o],y.sys[o]),g=y._xs[o][k],b=y._ys[o][k];break;default:throw new Error(\"should't have happened\")}f=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const T={index:f,x:h,y:u,sx:c,sy:d,data_x:g,data_y:b,segment_index:k,indices:i.multiline_indices,name:e.model.name};n.add(m,x,this._render_tooltips(l,f,T))}}_emit_callback(e){for(const t of this.computed_renderers){const s=t.data_source.inspected,{frame:n}=this.plot_view,o=n.xscales[t.x_range_name],i=n.yscales[t.y_range_name],r=o.invert(e.sx),l=i.invert(e.sy),a=Object.assign({x:r,y:l},e);this.model.callback.execute(this.model,{index:s,geometry:a,renderer:t})}}_render_tooltips(e,t,s){const n=this.model.tooltips;if(u.isString(n)){const o=_.div();return o.innerHTML=d.replace_placeholders(n,e,t,this.model.formatters,s),o}if(u.isFunction(n))return n(e,s);{const o=_.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[i,r]of n){const n=_.div({style:{display:\"table-row\"}});let l;if(o.appendChild(n),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_label},0!=i.length?i+\": \":\"\"),n.appendChild(l),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_value}),n.appendChild(l),r.indexOf(\"$color\")>=0){const[,s=\"\",n]=r.match(/\\$color(\\[.*\\])?:(\\w*)/),o=e.get_column(n);if(null==o){const e=_.span({},n+\" unknown\");l.appendChild(e);continue}const i=s.indexOf(\"hex\")>=0,a=s.indexOf(\"swatch\")>=0;let c=u.isNumber(t)?o[t]:null;if(null==c){const e=_.span({},\"(null)\");l.appendChild(e);continue}i&&(c=h.color2hex(c));let d=_.span({},c);l.appendChild(d),a&&(d=_.span({class:f.bk_tooltip_color_block,style:{backgroundColor:c}},\" \"),l.appendChild(d))}else{const n=_.span();n.innerHTML=d.replace_placeholders(r.replace(\"$~\",\"$data_\"),e,t,this.model.formatters,s),l.appendChild(n)}}return o}}}s.HoverToolView=g,g.__name__=\"HoverToolView\";class b extends o.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=x.bk_tool_icon_hover}static init_HoverTool(){this.prototype.default_view=g,this.define({tooltips:[p.Any,[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[p.Any,{}],renderers:[p.Any,\"auto\"],names:[p.Array,[]],mode:[p.HoverMode,\"mouse\"],muted_policy:[p.MutedPolicy,\"show\"],point_policy:[p.PointPolicy,\"snap_to_data\"],line_policy:[p.LinePolicy,\"nearest\"],show_arrow:[p.Boolean,!0],anchor:[p.Anchor,\"center\"],attachment:[p.TooltipAttachment,\"horizontal\"],callback:[p.Any]}),this.register_alias(\"hover\",()=>new b)}}s.HoverTool=b,b.__name__=\"HoverTool\",b.init_HoverTool()},\n",
+       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),n=t(14),s=t(71),l=t(274),c=t(356);class r extends s.Model{constructor(t){super(t)}static init_ToolProxy(){this.define({tools:[i.Array,[]],active:[i.Boolean,!1],disabled:[i.Boolean,!1]})}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof l.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new n.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,()=>this.doit()),this.connect(this.properties.active.change,()=>this.set_active());for(const t of this.tools)this.connect(t.properties.active.change,()=>{this.active=t.active})}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,i]of c.enumerate(t))if(null==e)o.push(null);else{const t=()=>{var t,o;for(const e of this.tools)null===(o=null===(t=e.menu)||void 0===t?void 0:t[i])||void 0===o||o.handler()};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=r,r.__name__=\"ToolProxy\",r.init_ToolProxy()},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=e(9);function*r(e,n){const o=e.length;if(n>o)return;const r=t.range(n);for(yield r.map(n=>e[n]);;){let f;for(const e of t.reversed(t.range(n)))if(r[e]!=e+o-n){f=e;break}if(null==f)return;r[f]+=1;for(const e of t.range(f+1,n))r[e]=r[e-1]+1;yield r.map(n=>e[n])}}o.enumerate=function*(e){let n=0;for(const o of e)yield[o,n++]},o.combinations=r,o.subsets=function*(e){for(const n of t.range(e.length+1))yield*r(e,n)}},\n",
+       "      function _(t,o,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),e=t(9),n=t(283),r=t(355),l=t(245),c=t(188);class h extends n.ToolbarBase{constructor(t){super(t)}static init_ProxyToolbar(){this.define({toolbars:[i.Array,[]]})}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const t={},o={},s={},i=[],n=[];for(const t of this.help)e.includes(n,t.redirect)||(i.push(t),n.push(t.redirect));this._proxied_tools.push(...i),this.help=i;for(const t in this.gestures){const o=this.gestures[t];t in s||(s[t]={});for(const i of o.tools)i.type in s[t]||(s[t][i.type]=[]),s[t][i.type].push(i)}for(const o of this.inspectors)o.type in t||(t[o.type]=[]),t[o.type].push(o);for(const t of this.actions)t.type in o||(o[t.type]=[]),o[t.type].push(t);const l=(t,o=!1)=>{const s=new r.ToolProxy({tools:t,active:o});return this._proxied_tools.push(s),s};for(const t in s){const o=this.gestures[t];o.tools=[];for(const i in s[t]){const e=s[t][i];if(e.length>0)if(\"multi\"==t)for(const t of e){const s=l([t]);o.tools.push(s),this.connect(s.properties.active.change,()=>this._active_change(s))}else{const t=l(e);o.tools.push(t),this.connect(t.properties.active.change,()=>this._active_change(t))}}}this.actions=[];for(const t in o){const s=o[t];if(\"CustomAction\"==t)for(const t of s)this.actions.push(l([t]));else s.length>0&&this.actions.push(l(s))}this.inspectors=[];for(const o in t){const s=t[o];s.length>0&&this.inspectors.push(l(s,!0))}for(const t in this.gestures){const o=this.gestures[t];0!=o.tools.length&&(o.tools=e.sort_by(o.tools,t=>t.default_order),\"pinch\"!=t&&\"scroll\"!=t&&\"multi\"!=t&&(o.tools[0].active=!0))}}}s.ProxyToolbar=h,h.__name__=\"ProxyToolbar\",h.init_ProxyToolbar();class a extends l.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new c.ContentBox(this.child_views[0].el);const{toolbar:t}=this.model;t.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}}s.ToolbarBoxView=a,a.__name__=\"ToolbarBoxView\";class _ extends l.LayoutDOM{constructor(t){super(t)}static init_ToolbarBox(){this.prototype.default_view=a,this.define({toolbar:[i.Instance],toolbar_location:[i.Location,\"right\"]})}}s.ToolbarBox=_,_.__name__=\"ToolbarBox\",_.init_ToolbarBox()},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(5),i=e(66),d=e(99),c=e(68),l=e(359);t.index={},t.add_document_standalone=async function(e,n,s=[],a=!1){const u=new Map;async function r(o){let a;const r=e.roots().indexOf(o),f=s[r];null!=f?a=f:n.classList.contains(l.BOKEH_ROOT)?a=n:(a=c.div({class:l.BOKEH_ROOT}),n.appendChild(a));const v=await d.build_view(o,{parent:null});return v instanceof i.DOMView&&v.renderTo(a),u.set(o,v),t.index[o.id]=v,v}for(const n of e.roots())await r(n);return a&&(window.document.title=e.title()),e.on_change(e=>{e instanceof o.RootAddedEvent?r(e.model):e instanceof o.RootRemovedEvent?function(e){const n=u.get(e);null!=n&&(n.remove(),u.delete(e),delete t.index[e.id])}(e.model):a&&e instanceof o.TitleChangedEvent&&(window.document.title=e.title)}),[...u.values()]}},\n",
+       "      function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(68),r=e(246);function l(e){let o=document.getElementById(e);if(null==o)throw new Error(`Error rendering Bokeh model: could not find #${e} HTML tag`);if(!document.body.contains(o))throw new Error(`Error rendering Bokeh model: element #${e} must be under <body>`);if(\"SCRIPT\"==o.tagName){const e=t.div({class:n.BOKEH_ROOT});t.replaceWith(o,e),o=e}return o}n.BOKEH_ROOT=r.bk_root,n._resolve_element=function(e){const{elementid:o}=e;return null!=o?l(o):document.body},n._resolve_root_elements=function(e){const o=[];if(null!=e.root_ids&&null!=e.roots)for(const n of e.root_ids)o.push(l(e.roots[n]));return o}},\n",
+       "      function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=n(361),s=n(72),c=n(358);t._get_ws_url=function(n,o){let t,e=\"ws:\";return\"https:\"==window.location.protocol&&(e=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),e+\"//\"+t.host+n+\"/ws\"};const r={};t.add_document_from_session=async function(n,o,t,a=[],i=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=e.parse_token(o).session_id;n in r||(r[n]={});const c=r[n];return s in c||(c[s]=e.pull_session(n,o,t)),c[s]}(n,o,l)}catch(n){const t=e.parse_token(o).session_id;throw s.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return c.add_document_standalone(d.document,t,a,i)}},\n",
+       "      function _(e,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(72),o=e(5),r=e(362),i=e(363),c=e(364);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let l=0;function _(e){let s=e.split(\".\")[0];const n=s.length%4;return 0!=n&&(s+=\"=\".repeat(4-n)),JSON.parse(atob(s.replace(/_/g,\"/\").replace(/-/g,\"+\")))}n.parse_token=_;class h{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,o=null){this.url=e,this.token=s,this.args_string=o,this._number=l++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new i.Receiver,this.id=_(s).session_id.split(\".\")[0],t.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=\"\"+this.url;return null!=this.args_string&&this.args_string.length>0&&(e+=\"?\"+this.args_string),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)})}catch(e){throw t.logger.error(\"websocket creation failed to url: \"+this.url),t.logger.error(\" - \"+e),e}}close(){this.closed_permanently||(t.logger.debug(\"Permanently closing websocket connection \"+this._number),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,\"close method called on ClientConnection \"+this._number),this.session._connection_closed())}_schedule_reconnect(e){setTimeout(()=>{this.closed_permanently||t.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)},e)}send(e){if(null==this.socket)throw new Error(\"not connected so cannot send \"+e);e.send(this.socket)}async send_with_reply(e){const s=await new Promise((s,n)=>{this._pending_replies.set(e.msgid(),{resolve:s,reject:n}),this.send(e)});if(\"ERROR\"===s.msgtype())throw new Error(\"Error reply \"+s.content.text);return s}async _pull_doc_json(){const e=r.Message.create(\"PULL-DOC-REQ\",{}),s=await this.send_with_reply(e);if(!(\"doc\"in s.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return s.content.doc}async _repull_session_doc(e,s){var n;t.logger.debug(this.session?\"Repulling session\":\"Pulling session for first time\");try{const n=await this._pull_doc_json();if(null==this.session)if(this.closed_permanently)t.logger.debug(\"Got new document after connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=o.Document.from_json(n),i=o.Document._compute_patch_since_json(n,s);if(i.events.length>0){t.logger.debug(`Sending ${i.events.length} changes from model construction back to server`);const e=r.Message.create(\"PATCH-DOC\",{},i);this.send(e)}this.session=new c.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],t.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),t.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),t.logger.error(\"Failed to repull session \"+e),s(e)}}_on_open(e,s){t.logger.info(`Websocket connection ${this._number} is now open`),this._current_handler=n=>{this._awaiting_ack_handler(n,e,s)}}_on_message(e){null==this._current_handler&&t.logger.error(\"Got a message with no current handler set\");try{this._receiver.consume(e.data)}catch(e){this._close_bad_protocol(e.toString())}const s=this._receiver.message;if(null!=s){const e=s.problem();null!=e&&this._close_bad_protocol(e),this._current_handler(s)}}_on_close(e,s){t.logger.info(`Lost websocket ${this._number} connection, ${e.code} (${e.reason})`),this.socket=null,this._pending_replies.forEach(e=>e.reject(\"Disconnected\")),this._pending_replies.clear(),this.closed_permanently||this._schedule_reconnect(2e3),s(new Error(`Lost websocket connection, ${e.code} (${e.reason})`))}_on_error(e){t.logger.debug(\"Websocket error on socket \"+this._number);const s=\"Could not open websocket\";t.logger.error(\"Failed to connect to Bokeh server: \"+s),e(new Error(s))}_close_bad_protocol(e){t.logger.error(\"Closing connection: \"+e),null!=this.socket&&this.socket.close(1002,e)}_awaiting_ack_handler(e,s,n){\"ACK\"===e.msgtype()?(this._current_handler=e=>this._steady_state_handler(e),this._repull_session_doc(s,n)):this._close_bad_protocol(\"First message was not an ACK\")}_steady_state_handler(e){const s=e.reqid(),n=this._pending_replies.get(s);n?(this._pending_replies.delete(s),n.resolve(e)):this.session?this.session.handle(e):\"PATCH-DOC\"!=e.msgtype()&&this._pending_messages.push(e)}}n.ClientConnection=h,h.__name__=\"ClientConnection\",n.pull_session=function(e,s,n){return new h(e,s,n).connect()}},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(24);class n{constructor(e,s,t){this.header=e,this.metadata=s,this.content=t,this.buffers=new Map}static assemble(e,s,t){const r=JSON.parse(e),i=JSON.parse(s),a=JSON.parse(t);return new n(r,i,a)}assemble_buffer(e,s){const t=null!=this.header.num_buffers?this.header.num_buffers:0;if(t<=this.buffers.size)throw new Error(\"too many buffers received, expecting \"+t);const{id:r}=JSON.parse(e);this.buffers.set(r,s)}static create(e,s,t={}){const r=n.create_header(e);return new n(r,s,t)}static create_header(e){return{msgid:r.uniqueId(),msgtype:e}}complete(){return null!=this.header&&null!=this.metadata&&null!=this.content&&(null==this.header.num_buffers||this.buffers.size==this.header.num_buffers)}send(e){if((null!=this.header.num_buffers?this.header.num_buffers:0)>0)throw new Error(\"BokehJS only supports receiving buffers, not sending\");const s=JSON.stringify(this.header),t=JSON.stringify(this.metadata),r=JSON.stringify(this.content);e.send(s),e.send(t),e.send(r)}msgid(){return this.header.msgid}msgtype(){return this.header.msgtype}reqid(){return this.header.reqid}problem(){return\"msgid\"in this.header?\"msgtype\"in this.header?null:\"No msgtype in header\":\"No msgid in header\"}}t.Message=n,n.__name__=\"Message\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const _=e(362),r=e(8);class i{constructor(){this.message=null,this._partial=null,this._fragments=[],this._buf_header=null,this._current_consumer=this._HEADER}consume(e){this._current_consumer(e)}_HEADER(e){this._assume_text(e),this.message=null,this._partial=null,this._fragments=[e],this._buf_header=null,this._current_consumer=this._METADATA}_METADATA(e){this._assume_text(e),this._fragments.push(e),this._current_consumer=this._CONTENT}_CONTENT(e){this._assume_text(e),this._fragments.push(e);const[t,s,r]=this._fragments.slice(0,3);this._partial=_.Message.assemble(t,s,r),this._check_complete()}_BUFFER_HEADER(e){this._assume_text(e),this._buf_header=e,this._current_consumer=this._BUFFER_PAYLOAD}_BUFFER_PAYLOAD(e){this._assume_binary(e),this._partial.assemble_buffer(this._buf_header,e),this._check_complete()}_assume_text(e){if(!r.isString(e))throw new Error(\"Expected text fragment but received binary fragment\")}_assume_binary(e){if(!(e instanceof ArrayBuffer))throw new Error(\"Expected binary fragment but received text fragment\")}_check_complete(){this._partial.complete()?(this.message=this._partial,this._current_consumer=this._HEADER):this._current_consumer=this._BUFFER_HEADER}}s.Receiver=i,i.__name__=\"Receiver\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(5),s=e(362),c=e(72);class i{constructor(e,t,n){this._connection=e,this.document=t,this.id=n,this._document_listener=e=>{this._document_changed(e)},this.document.on_change(this._document_listener,!0)}handle(e){const t=e.msgtype();\"PATCH-DOC\"===t?this._handle_patch(e):\"OK\"===t?this._handle_ok(e):\"ERROR\"===t?this._handle_error(e):c.logger.debug(\"Doing nothing with message \"+e.msgtype())}close(){this._connection.close()}_connection_closed(){this.document.remove_on_change(this._document_listener)}async request_server_info(){const e=s.Message.create(\"SERVER-INFO-REQ\",{});return(await this._connection.send_with_reply(e)).content}async force_roundtrip(){await this.request_server_info()}_document_changed(e){if(e.setter_id===this.id)return;const t=e instanceof o.DocumentEventBatch?e.events:[e],n=this.document.create_json_patch(t),c=s.Message.create(\"PATCH-DOC\",{},n);this._connection.send(c)}_handle_patch(e){this.document.apply_json_patch(e.content,e.buffers,this.id)}_handle_ok(e){c.logger.trace(\"Unhandled OK reply to \"+e.reqid())}_handle_error(e){c.logger.error(`Unhandled ERROR reply to ${e.reqid()}: ${e.content.text}`)}}n.ClientSession=i,i.__name__=\"ClientSession\"},\n",
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{});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END bokeh.min.js */\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN bokeh-widgets.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        factory(root[\"Bokeh\"], \"2.1.1\");\n",
+       "      })(this, function(Bokeh, version) {\n",
+       "        var define;\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
+       "          if (bokeh != null) {\n",
+       "            return bokeh.register_plugin(modules, entry, aliases);\n",
+       "          } else {\n",
+       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
+       "          }\n",
+       "        })\n",
+       "      ({\n",
+       "      390: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(391));o.Widgets=r,e(7).register_models(r)},\n",
+       "      391: function _(r,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});var a=r(392);t.AbstractButton=a.AbstractButton;var o=r(395);t.AbstractIcon=o.AbstractIcon;var u=r(396);t.AutocompleteInput=u.AutocompleteInput;var n=r(401);t.Button=n.Button;var i=r(402);t.CheckboxButtonGroup=i.CheckboxButtonGroup;var v=r(404);t.CheckboxGroup=v.CheckboxGroup;var p=r(406);t.ColorPicker=p.ColorPicker;var l=r(407);t.DatePicker=l.DatePicker;var c=r(410);t.DateRangeSlider=c.DateRangeSlider;var d=r(416);t.DateSlider=d.DateSlider;var g=r(417);t.Div=g.Div;var I=r(421);t.Dropdown=I.Dropdown;var S=r(422);t.FileInput=S.FileInput;var P=r(398);t.InputWidget=P.InputWidget;var k=r(418);t.Markup=k.Markup;var x=r(423);t.MultiSelect=x.MultiSelect;var D=r(424);t.Paragraph=D.Paragraph;var b=r(425);t.PasswordInput=b.PasswordInput;var s=r(426);t.MultiChoice=s.MultiChoice;var h=r(429);t.PreText=h.PreText;var A=r(430);t.RadioButtonGroup=A.RadioButtonGroup;var B=r(431);t.RadioGroup=B.RadioGroup;var C=r(432);t.RangeSlider=C.RangeSlider;var G=r(433);t.Select=G.Select;var R=r(434);t.Slider=R.Slider;var T=r(435);t.Spinner=T.Spinner;var M=r(397);t.TextInput=M.TextInput;var w=r(436);t.TextAreaInput=w.TextAreaInput;var W=r(437);t.Toggle=W.Toggle;var _=r(458);t.Widget=_.Widget},\n",
+       "      392: function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=i.__importStar(t(18)),o=t(68),l=t(99),r=t(393),_=t(254),c=i.__importDefault(t(256));class u extends r.ControlView{*controls(){yield this.button_el}async lazy_initialize(){await super.lazy_initialize();const{icon:t}=this.model;null!=t&&(this.icon_view=await l.build_view(t,{parent:this}))}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}remove(){null!=this.icon_view&&this.icon_view.remove(),super.remove()}styles(){return[...super.styles(),c.default]}_render_button(...t){return o.button({type:\"button\",disabled:this.model.disabled,class:[_.bk_btn,_.bk_btn_type(this.model.button_type)]},...t)}render(){super.render(),this.button_el=this._render_button(this.model.label),this.button_el.addEventListener(\"click\",()=>this.click()),null!=this.icon_view&&(o.prepend(this.button_el,this.icon_view.el,o.nbsp()),this.icon_view.render()),this.group_el=o.div({class:_.bk_btn_group},this.button_el),this.el.appendChild(this.group_el)}click(){}}n.AbstractButtonView=u,u.__name__=\"AbstractButtonView\";class a extends r.Control{constructor(t){super(t)}static init_AbstractButton(){this.define({label:[s.String,\"Button\"],icon:[s.Instance],button_type:[s.ButtonType,\"default\"]})}}n.AbstractButton=a,a.__name__=\"AbstractButton\",a.init_AbstractButton()},\n",
+       "      393: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(458),n=e(68);class i extends s.WidgetView{connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,()=>{for(const e of this.controls())n.toggle_attribute(e,\"disabled\",this.model.disabled)})}}o.ControlView=i,i.__name__=\"ControlView\";class l extends s.Widget{constructor(e){super(e)}}o.Control=l,l.__name__=\"Control\"},\n",
+       "      458: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(249),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n",
+       "      395: function _(e,t,c){Object.defineProperty(c,\"__esModule\",{value:!0});const s=e(71),n=e(66);class o extends n.DOMView{}c.AbstractIconView=o,o.__name__=\"AbstractIconView\";class _ extends s.Model{constructor(e){super(e)}}c.AbstractIcon=_,_.__name__=\"AbstractIcon\"},\n",
+       "      396: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),s=e(397),h=e(68),_=i.__importStar(e(18)),o=e(10),u=e(146),r=e(255),c=i.__importDefault(e(257));class l extends s.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),c.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",e=>this._keydown(e)),this.input_el.addEventListener(\"keyup\",e=>this._keyup(e)),this.menu=h.div({class:[r.bk_menu,u.bk_below]}),this.menu.addEventListener(\"click\",e=>this._menu_click(e)),this.menu.addEventListener(\"mouseover\",e=>this._menu_hover(e)),this.el.appendChild(this.menu),h.undisplay(this.menu)}change_input(){this._open&&this.menu.children.length>0&&(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu())}_update_completions(e){h.empty(this.menu);for(const t of e){const e=h.div({},t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(u.bk_active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,h.display(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,h.undisplay(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;t<this.menu.children.length&&this.menu.children[t].textContent!=e.target.textContent;t++);this._bump_hover(t)}}_bump_hover(e){const t=this.menu.children.length;this._open&&t>0&&(this.menu.children[this._hover_index].classList.remove(u.bk_active),this._hover_index=o.clamp(e,0,t-1),this.menu.children[this._hover_index].classList.add(u.bk_active))}_keydown(e){}_keyup(e){switch(e.keyCode){case h.Keys.Enter:this.change_input();break;case h.Keys.Esc:this._hide_menu();break;case h.Keys.Up:this._bump_hover(this._hover_index-1);break;case h.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.length<this.model.min_characters)return void this._hide_menu();const t=[],{case_sensitive:n}=this.model;let i;i=n?e=>e:e=>e.toLowerCase();for(const n of this.model.completions)i(n).startsWith(i(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class a extends s.TextInput{constructor(e){super(e)}static init_AutocompleteInput(){this.prototype.default_view=l,this.define({completions:[_.Array,[]],min_characters:[_.Int,2],case_sensitive:[_.Boolean,!0]})}}n.AutocompleteInput=a,a.__name__=\"AutocompleteInput\",a.init_AutocompleteInput()},\n",
+       "      397: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),p=n.__importStar(e(18)),u=e(400);class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.value_input.change,()=>this.input_el.value=this.model.value_input),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder)}render(){super.render(),this.input_el=l.input({type:\"text\",class:u.bk_input,name:this.model.name,value:this.model.value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.input_el.addEventListener(\"input\",()=>this.change_input_oninput()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_oninput(){this.model.value_input=this.input_el.value,super.change_input()}}i.TextInputView=a,a.__name__=\"TextInputView\";class h extends s.InputWidget{constructor(e){super(e)}static init_TextInput(){this.prototype.default_view=a,this.define({value:[p.String,\"\"],value_input:[p.String,\"\"],placeholder:[p.String,\"\"]})}}i.TextInput=h,h.__name__=\"TextInput\",h.init_TextInput()},\n",
+       "      398: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),l=t(393),s=t(68),_=n.__importStar(t(18)),o=n.__importDefault(t(399)),r=t(400);class p extends l.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,()=>{this.label_el.textContent=this.model.title})}styles(){return[...super.styles(),o.default]}render(){super.render();const{title:t}=this.model;this.label_el=s.label({style:{display:0==t.length?\"none\":\"\"}},t),this.group_el=s.div({class:r.bk_input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=p,p.__name__=\"InputWidgetView\";class u extends l.Control{constructor(t){super(t)}static init_InputWidget(){this.define({title:[_.String,\"\"]})}}i.InputWidget=u,u.__name__=\"InputWidget\",u.init_InputWidget()},\n",
+       "      399: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-input {\\n  display: inline-block;\\n  width: 100%;\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  min-height: 31px;\\n  padding: 0 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n}\\n.bk-root .bk-input:focus {\\n  border-color: #66afe9;\\n  outline: 0;\\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);\\n}\\n.bk-root .bk-input::placeholder,\\n.bk-root .bk-input:-ms-input-placeholder,\\n.bk-root .bk-input::-moz-placeholder,\\n.bk-root .bk-input::-webkit-input-placeholder {\\n  color: #999;\\n  opacity: 1;\\n}\\n.bk-root .bk-input[disabled] {\\n  cursor: not-allowed;\\n  background-color: #eee;\\n  opacity: 1;\\n}\\n.bk-root select:not([multiple]).bk-input,\\n.bk-root select:not([size]).bk-input {\\n  height: auto;\\n  appearance: none;\\n  -webkit-appearance: none;\\n  background-image: url(\\'data:image/svg+xml;utf8,<svg version=\"1.1\" viewBox=\"0 0 25 20\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M 0,0 25,0 12.5,20 Z\" fill=\"black\" /></svg>\\');\\n  background-position: right 0.5em center;\\n  background-size: 8px 6px;\\n  background-repeat: no-repeat;\\n}\\n.bk-root select[multiple].bk-input,\\n.bk-root select[size].bk-input,\\n.bk-root textarea.bk-input {\\n  height: auto;\\n}\\n.bk-root .bk-input-group {\\n  width: 100%;\\n  height: 100%;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: start;\\n  -webkit-align-items: start;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  white-space: nowrap;\\n}\\n.bk-root .bk-input-group.bk-inline {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-input-group.bk-inline > *:not(:first-child) {\\n  margin-left: 5px;\\n}\\n.bk-root .bk-input-group input[type=\"checkbox\"] + span,\\n.bk-root .bk-input-group input[type=\"radio\"] + span {\\n  position: relative;\\n  top: -2px;\\n  margin-left: 3px;\\n}\\n'},\n",
+       "      400: function _(u,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.bk_input=\"bk-input\",n.bk_input_group=\"bk-input-group\"},\n",
+       "      401: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(392),o=t(291);class s extends n.AbstractButtonView{click(){this.model.clicks=this.model.clicks+1,this.model.trigger_event(new o.ButtonClick),super.click()}}i.ButtonView=s,s.__name__=\"ButtonView\";class c extends n.AbstractButton{constructor(t){super(t)}static init_Button(){this.prototype.default_view=s,this.override({label:\"Button\"})}}i.Button=c,c.__name__=\"Button\",c.init_Button()},\n",
+       "      402: function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),c=t(403),s=t(68),n=i.__importStar(t(18)),a=t(146);class u extends c.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach((e,o)=>{s.classes(e).toggle(a.bk_active,t.has(o))})}}o.CheckboxButtonGroupView=u,u.__name__=\"CheckboxButtonGroupView\";class r extends c.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=u,this.define({active:[n.Array,[]]})}}o.CheckboxButtonGroup=r,r.__name__=\"CheckboxButtonGroup\",r.init_CheckboxButtonGroup()},\n",
+       "      403: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),o=t(393),i=t(68),r=n.__importStar(t(18)),_=t(254),u=n.__importDefault(t(256));class a extends o.ControlView{*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,()=>this.render()),this.on_change(t.labels,()=>this.render()),this.on_change(t.active,()=>this._update_active())}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map((t,e)=>{const s=i.div({class:[_.bk_btn,_.bk_btn_type(this.model.button_type)],disabled:this.model.disabled},t);return s.addEventListener(\"click\",()=>this.change_active(e)),s}),this._update_active();const t=i.div({class:_.bk_btn_group},this._buttons);this.el.appendChild(t)}}s.ButtonGroupView=a,a.__name__=\"ButtonGroupView\";class l extends o.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define({labels:[r.Array,[]],button_type:[r.ButtonType,\"default\"]})}}s.ButtonGroup=l,l.__name__=\"ButtonGroup\",l.init_ButtonGroup()},\n",
+       "      404: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(405),o=e(68),c=e(9),a=n.__importStar(e(18)),l=e(146),d=e(400);class r extends s.InputGroupView{render(){super.render();const e=o.div({class:[d.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const{active:t,labels:i}=this.model;this._inputs=[];for(let n=0;n<i.length;n++){const s=o.input({type:\"checkbox\",value:\"\"+n});s.addEventListener(\"change\",()=>this.change_active(n)),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),c.includes(t,n)&&(s.checked=!0);const a=o.label({},s,o.span({},i[n]));e.appendChild(a)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}i.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class p extends s.InputGroup{constructor(e){super(e)}static init_CheckboxGroup(){this.prototype.default_view=r,this.define({active:[a.Array,[]],labels:[a.Array,[]],inline:[a.Boolean,!1]})}}i.CheckboxGroup=p,p.__name__=\"CheckboxGroup\",p.init_CheckboxGroup()},\n",
+       "      405: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),o=e(393),r=s.__importDefault(e(399));class u extends o.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}styles(){return[...super.styles(),r.default]}}n.InputGroupView=u,u.__name__=\"InputGroupView\";class _ extends o.Control{constructor(e){super(e)}}n.InputGroup=_,_.__name__=\"InputGroup\"},\n",
+       "      406: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),o=e(398),s=e(68),l=n.__importStar(e(18)),r=e(400);class c extends o.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.color.change,()=>this.input_el.value=this.model.color),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled)}render(){super.render(),this.input_el=s.input({type:\"color\",class:r.bk_input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}t.ColorPickerView=c,c.__name__=\"ColorPickerView\";class d extends o.InputWidget{constructor(e){super(e)}static init_ColorPicker(){this.prototype.default_view=c,this.define({color:[l.Color,\"#000000\"]})}}t.ColorPicker=d,d.__name__=\"ColorPicker\",d.init_ColorPicker()},\n",
+       "      407: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=n.__importDefault(e(408)),a=e(398),l=e(68),o=n.__importStar(e(18)),r=e(8),d=e(400),c=n.__importDefault(e(409));function u(e){const t=[];for(const i of e)if(r.isString(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class _ extends a.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,()=>{var t;return null===(t=this._picker)||void 0===t?void 0:t.setDate(e.value())}),this.connect(t.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",t.value())}),this.connect(i.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",i.value())}),this.connect(n.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",n.value())}),this.connect(s.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",s.value())}),this.connect(a.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",a.value())}),this.connect(l.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",l.value())})}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),c.default]}render(){null==this._picker&&(super.render(),this.input_el=l.input({type:\"text\",class:d.bk_input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=s.default(this.input_el,{defaultDate:this.model.value,minDate:this.model.min_date,maxDate:this.model.max_date,inline:this.model.inline,position:this.model.position,disable:u(this.model.disabled_dates),enable:u(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=_,_.__name__=\"DatePickerView\";class h extends a.InputWidget{constructor(e){super(e)}static init_DatePicker(){this.prototype.default_view=_,this.define({value:[o.Any],min_date:[o.Any],max_date:[o.Any],disabled_dates:[o.Any,[]],enabled_dates:[o.Any,[]],position:[o.CalendarPosition,\"auto\"],inline:[o.Boolean,!1]})}}i.DatePicker=h,h.__name__=\"DatePicker\",h.init_DatePicker()},\n",
+       "      408: function _(e,t,n){\n",
+       "      /* flatpickr v4.6.3, @license MIT */var a,i;a=this,i=function(){\"use strict\";\n",
+       "      /*! *****************************************************************************\n",
+       "              Copyright (c) Microsoft Corporation. All rights reserved.\n",
+       "              Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n",
+       "              this file except in compliance with the License. You may obtain a copy of the\n",
+       "              License at http://www.apache.org/licenses/LICENSE-2.0\n",
+       "          \n",
+       "              THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n",
+       "              KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n",
+       "              WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n",
+       "              MERCHANTABLITY OR NON-INFRINGEMENT.\n",
+       "          \n",
+       "              See the Apache Version 2.0 License for specific language governing permissions\n",
+       "              and limitations under the License.\n",
+       "              ***************************************************************************** */var e=function(){return(e=Object.assign||function(e){for(var t,n=1,a=arguments.length;n<a;n++)for(var i in t=arguments[n])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e}).apply(this,arguments)},t=[\"onChange\",\"onClose\",\"onDayCreate\",\"onDestroy\",\"onKeyDown\",\"onMonthChange\",\"onOpen\",\"onParseConfig\",\"onReady\",\"onValueUpdate\",\"onYearChange\",\"onPreCalendarPosition\"],n={_disable:[],_enable:[],allowInput:!1,altFormat:\"F j, Y\",altInput:!1,altInputClass:\"form-control input\",animate:\"object\"==typeof window&&-1===window.navigator.userAgent.indexOf(\"MSIE\"),ariaDateFormat:\"F j, Y\",clickOpens:!0,closeOnSelect:!0,conjunction:\", \",dateFormat:\"Y-m-d\",defaultHour:12,defaultMinute:0,defaultSeconds:0,disable:[],disableMobile:!1,enable:[],enableSeconds:!1,enableTime:!1,errorHandler:function(e){return\"undefined\"!=typeof 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n=t?e:e-h.currentMonth;n<0&&!0===h._hidePrevMonthArrow||n>0&&!0===h._hideNextMonthArrow||(h.currentMonth+=n,(h.currentMonth<0||h.currentMonth>11)&&(h.currentYear+=h.currentMonth>11?1:-1,h.currentMonth=(h.currentMonth+12)%12,fe(\"onYearChange\"),B()),R(),fe(\"onMonthChange\"),pe())}function z(e){return!(!h.config.appendTo||!h.config.appendTo.contains(e))||h.calendarContainer.contains(e)}function G(e){if(h.isOpen&&!h.config.inline){var t=\"function\"==typeof(r=e).composedPath?r.composedPath()[0]:r.target,n=z(t),a=t===h.input||t===h.altInput||h.element.contains(t)||e.path&&e.path.indexOf&&(~e.path.indexOf(h.input)||~e.path.indexOf(h.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!z(e.relatedTarget):!a&&!n&&!z(e.relatedTarget),o=!h.config.ignoredFocusElements.some((function(e){return e.contains(t)}));i&&o&&(void 0!==h.timeContainer&&void 0!==h.minuteElement&&void 0!==h.hourElement&&x(),h.close(),\"range\"===h.config.mode&&1===h.selectedDates.length&&(h.clear(!1),h.redraw()))}var 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0!==n&&r.getTime()===n.getTime())return a;if(\"string\"==typeof r&&void 0!==n){var l=h.parseDate(r,void 0,!0);return l&&l.getTime()===n.getTime()?a:!a}if(\"object\"==typeof r&&void 0!==n&&r.from&&r.to&&n.getTime()>=r.from.getTime()&&n.getTime()<=r.to.getTime())return a}return!a}function Q(e){return void 0!==h.daysContainer&&-1===e.className.indexOf(\"hidden\")&&h.daysContainer.contains(e)}function X(e){var t=e.target===h._input,n=h.config.allowInput,a=h.isOpen&&(!n||!t),i=h.config.inline&&t&&!n;if(13===e.keyCode&&t){if(n)return h.setDate(h._input.value,!0,e.target===h.altInput?h.config.altFormat:h.config.dateFormat),e.target.blur();h.open()}else if(z(e.target)||a||i){var o=!!h.timeContainer&&h.timeContainer.contains(e.target);switch(e.keyCode){case 13:o?(e.preventDefault(),x(),le()):ce(e);break;case 27:e.preventDefault(),le();break;case 8:case 46:t&&!h.config.allowInput&&(e.preventDefault(),h.clear());break;case 37:case 39:if(o||t)h.hourElement&&h.hourElement.focus();else if(e.preventDefault(),void 0!==h.daysContainer&&(!1===n||document.activeElement&&Q(document.activeElement))){var r=39===e.keyCode?1:-1;e.ctrlKey?(e.stopPropagation(),$(r),L(H(1),0)):L(void 0,r)}break;case 38:case 40:e.preventDefault();var l=40===e.keyCode?1:-1;h.daysContainer&&void 0!==e.target.$i||e.target===h.input||e.target===h.altInput?e.ctrlKey?(e.stopPropagation(),V(h.currentYear-l),L(H(1),0)):o||L(void 0,7*l):e.target===h.currentYearElement?V(h.currentYear-l):h.config.enableTime&&(!o&&h.hourElement&&h.hourElement.focus(),x(e),h._debouncedChange());break;case 9:if(o){var c=[h.hourElement,h.minuteElement,h.secondElement,h.amPM].concat(h.pluginElements).filter((function(e){return e})),d=c.indexOf(e.target);if(-1!==d){var s=c[d+(e.shiftKey?-1:1)];e.preventDefault(),(s||h._input).focus()}}else!h.config.noCalendar&&h.daysContainer&&h.daysContainer.contains(e.target)&&e.shiftKey&&(e.preventDefault(),h._input.focus())}}if(void 0!==h.amPM&&e.target===h.amPM)switch(e.key){case h.l10n.amPM[0].charAt(0):case h.l10n.amPM[0].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[0],E(),ve();break;case h.l10n.amPM[1].charAt(0):case h.l10n.amPM[1].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[1],E(),ve()}(t||z(e.target))&&fe(\"onKeyDown\",e)}function ee(e){if(1===h.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var t=e?e.dateObj.getTime():h.days.firstElementChild.dateObj.getTime(),n=h.parseDate(h.selectedDates[0],void 0,!0).getTime(),a=Math.min(t,h.selectedDates[0].getTime()),i=Math.max(t,h.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;c<i;c+=b)Z(new Date(c),!0)||(o=o||c>a&&c<i,c<n&&(!r||c>r)?r=c:c>n&&(!l||c<l)&&(l=c));for(var d=0;d<h.config.showMonths;d++)for(var s=h.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(t<=h.selectedDates[0].getTime()?\"startRange\":\"endRange\"),n<t&&m===n?f.classList.add(\"startRange\"):n>t&&m===n&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=n,u=t,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function te(){!h.isOpen||h.config.static||h.config.inline||oe()}function ne(){h.setDate(void 0!==h.config.minDate?new Date(h.config.minDate.getTime()):new Date,!0),k(),ve()}function ae(e){return function(t){var n=h.config[\"_\"+e+\"Date\"]=h.parseDate(t,h.config.dateFormat),a=h.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==n&&(h[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=n.getHours()>0||n.getMinutes()>0||n.getSeconds()>0),h.selectedDates&&(h.selectedDates=h.selectedDates.filter((function(e){return Z(e)})),h.selectedDates.length||\"min\"!==e||T(n),ve()),h.daysContainer&&(re(),void 0!==n?h.currentYearElement[e]=n.getFullYear().toString():h.currentYearElement.removeAttribute(e),h.currentYearElement.disabled=!!a&&void 0!==n&&a.getFullYear()===n.getFullYear())}}function ie(){\"object\"!=typeof h.config.locale&&void 0===y.l10ns[h.config.locale]&&h.config.errorHandler(new Error(\"flatpickr: invalid locale \"+h.config.locale)),h.l10n=e({},y.l10ns.default,\"object\"==typeof h.config.locale?h.config.locale:\"default\"!==h.config.locale?y.l10ns[h.config.locale]:void 0),p.K=\"(\"+h.l10n.amPM[0]+\"|\"+h.l10n.amPM[1]+\"|\"+h.l10n.amPM[0].toLowerCase()+\"|\"+h.l10n.amPM[1].toLowerCase()+\")\",void 0===e({},g,JSON.parse(JSON.stringify(f.dataset||{}))).time_24hr&&void 0===y.defaultConfig.time_24hr&&(h.config.time_24hr=h.l10n.time_24hr),h.formatDate=v(h),h.parseDate=D({config:h.config,l10n:h.l10n})}function oe(e){if(void 0!==h.calendarContainer){fe(\"onPreCalendarPosition\");var t=e||h._positionElement,n=Array.prototype.reduce.call(h.calendarContainer.children,(function(e,t){return e+t.offsetHeight}),0),a=h.calendarContainer.offsetWidth,i=h.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=t.getBoundingClientRect(),d=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&d<n&&l.top>n,u=window.pageYOffset+l.top+(s?-n-2:t.offsetHeight+2);if(c(h.calendarContainer,\"arrowTop\",!s),c(h.calendarContainer,\"arrowBottom\",s),!h.config.inline){var f=window.pageXOffset+l.left-(null!=r&&\"center\"===r?(a-l.width)/2:0),m=window.document.body.offsetWidth-(window.pageXOffset+l.right),g=f+a>window.document.body.offsetWidth,p=m+a>window.document.body.offsetWidth;if(c(h.calendarContainer,\"rightMost\",g),!h.config.static)if(h.calendarContainer.style.top=u+\"px\",g)if(p){var v=document.styleSheets[0];if(void 0===v)return;var D=window.document.body.offsetWidth,w=Math.max(0,D/2-a/2),b=v.cssRules.length,C=\"{left:\"+l.left+\"px;right:auto;}\";c(h.calendarContainer,\"rightMost\",!1),c(h.calendarContainer,\"centerMost\",!0),v.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+C,b),h.calendarContainer.style.left=w+\"px\",h.calendarContainer.style.right=\"auto\"}else h.calendarContainer.style.left=\"auto\",h.calendarContainer.style.right=m+\"px\";else h.calendarContainer.style.left=f+\"px\",h.calendarContainer.style.right=\"auto\"}}}function re(){h.config.noCalendar||h.isMobile||(pe(),R())}function le(){h._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(h.close,0):h.close()}function ce(e){e.preventDefault(),e.stopPropagation();var t=function e(t,n){return n(t)?t:t.parentNode?e(t.parentNode,n):void 0}(e.target,(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==t){var n=t,a=h.latestSelectedDateObj=new Date(n.dateObj.getTime()),i=(a.getMonth()<h.currentMonth||a.getMonth()>h.currentMonth+h.config.showMonths-1)&&\"range\"!==h.config.mode;if(h.selectedDateElem=n,\"single\"===h.config.mode)h.selectedDates=[a];else if(\"multiple\"===h.config.mode){var o=ge(a);o?h.selectedDates.splice(parseInt(o),1):h.selectedDates.push(a)}else\"range\"===h.config.mode&&(2===h.selectedDates.length&&h.clear(!1,!1),h.latestSelectedDateObj=a,h.selectedDates.push(a),0!==w(a,h.selectedDates[0],!0)&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()})));if(E(),i){var r=h.currentYear!==a.getFullYear();h.currentYear=a.getFullYear(),h.currentMonth=a.getMonth(),r&&(fe(\"onYearChange\"),B()),fe(\"onMonthChange\")}if(pe(),R(),ve(),h.config.enableTime&&setTimeout((function(){return h.showTimeInput=!0}),50),i||\"range\"===h.config.mode||1!==h.config.showMonths?void 0!==h.selectedDateElem&&void 0===h.hourElement&&h.selectedDateElem&&h.selectedDateElem.focus():j(n),void 0!==h.hourElement&&void 0!==h.hourElement&&h.hourElement.focus(),h.config.closeOnSelect){var l=\"single\"===h.config.mode&&!h.config.enableTime,c=\"range\"===h.config.mode&&2===h.selectedDates.length&&!h.config.enableTime;(l||c)&&le()}F()}}h.parseDate=D({config:h.config,l10n:h.l10n}),h._handlers=[],h.pluginElements=[],h.loadedPlugins=[],h._bind=O,h._setHoursFromDate=T,h._positionCalendar=oe,h.changeMonth=$,h.changeYear=V,h.clear=function(e,t){void 0===e&&(e=!0),void 0===t&&(t=!0),h.input.value=\"\",void 0!==h.altInput&&(h.altInput.value=\"\"),void 0!==h.mobileInput&&(h.mobileInput.value=\"\"),h.selectedDates=[],h.latestSelectedDateObj=void 0,!0===t&&(h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth()),h.showTimeInput=!1,!0===h.config.enableTime&&k(),h.redraw(),e&&fe(\"onChange\")},h.close=function(){h.isOpen=!1,h.isMobile||(void 0!==h.calendarContainer&&h.calendarContainer.classList.remove(\"open\"),void 0!==h._input&&h._input.classList.remove(\"active\")),fe(\"onClose\")},h._createElement=d,h.destroy=function(){void 0!==h.config&&fe(\"onDestroy\");for(var e=h._handlers.length;e--;){var t=h._handlers[e];t.element.removeEventListener(t.event,t.handler,t.options)}if(h._handlers=[],h.mobileInput)h.mobileInput.parentNode&&h.mobileInput.parentNode.removeChild(h.mobileInput),h.mobileInput=void 0;else if(h.calendarContainer&&h.calendarContainer.parentNode)if(h.config.static&&h.calendarContainer.parentNode){var n=h.calendarContainer.parentNode;if(n.lastChild&&n.removeChild(n.lastChild),n.parentNode){for(;n.firstChild;)n.parentNode.insertBefore(n.firstChild,n);n.parentNode.removeChild(n)}}else h.calendarContainer.parentNode.removeChild(h.calendarContainer);h.altInput&&(h.input.type=\"text\",h.altInput.parentNode&&h.altInput.parentNode.removeChild(h.altInput),delete 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0!==h.mobileInput&&(h.mobileInput.focus(),h.mobileInput.click()),void fe(\"onOpen\");if(!h._input.disabled&&!h.config.inline){var n=h.isOpen;h.isOpen=!0,n||(h.calendarContainer.classList.add(\"open\"),h._input.classList.add(\"active\"),fe(\"onOpen\"),oe(t)),!0===h.config.enableTime&&!0===h.config.noCalendar&&(0===h.selectedDates.length&&ne(),!1!==h.config.allowInput||void 0!==e&&h.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return h.hourElement.select()}),50))}},h.redraw=re,h.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(h.config,e),e)void 0!==de[a]&&de[a].forEach((function(e){return e()}));else h.config[e]=n,void 0!==de[e]?de[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(h.config[e]=l(n));h.redraw(),ve(!1)},h.setDate=function(e,t,n){if(void 0===t&&(t=!1),void 0===n&&(n=h.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return h.clear(t);se(e,n),h.showTimeInput=h.selectedDates.length>0,h.latestSelectedDateObj=h.selectedDates[h.selectedDates.length-1],h.redraw(),N(),T(),0===h.selectedDates.length&&h.clear(!1),ve(t),t&&fe(\"onChange\")},h.toggle=function(e){if(!0===h.isOpen)return h.close();h.open(e)};var de={locale:[ie,q],showMonths:[K,M,U],minDate:[N],maxDate:[N]};function se(e,t){var n=[];if(e instanceof Array)n=e.map((function(e){return h.parseDate(e,t)}));else if(e instanceof Date||\"number\"==typeof e)n=[h.parseDate(e,t)];else if(\"string\"==typeof e)switch(h.config.mode){case\"single\":case\"time\":n=[h.parseDate(e,t)];break;case\"multiple\":n=e.split(h.config.conjunction).map((function(e){return h.parseDate(e,t)}));break;case\"range\":n=e.split(h.l10n.rangeSeparator).map((function(e){return h.parseDate(e,t)}))}else h.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));h.selectedDates=n.filter((function(e){return e instanceof Date&&Z(e,!1)})),\"range\"===h.config.mode&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()}))}function ue(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?h.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:h.parseDate(e.from,void 0),to:h.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function fe(e,t){if(void 0!==h.config){var n=h.config[e];if(void 0!==n&&n.length>0)for(var a=0;n[a]&&a<n.length;a++)n[a](h.selectedDates,h.input.value,h,t);\"onChange\"===e&&(h.input.dispatchEvent(me(\"change\")),h.input.dispatchEvent(me(\"input\")))}}function me(e){var t=document.createEvent(\"Event\");return t.initEvent(e,!0,!0),t}function ge(e){for(var t=0;t<h.selectedDates.length;t++)if(0===w(h.selectedDates[t],e))return\"\"+t;return!1}function pe(){h.config.noCalendar||h.isMobile||!h.monthNav||(h.yearElements.forEach((function(e,t){var n=new Date(h.currentYear,h.currentMonth,1);n.setMonth(h.currentMonth+t),h.config.showMonths>1||\"static\"===h.config.monthSelectorType?h.monthElements[t].textContent=m(n.getMonth(),h.config.shorthandCurrentMonth,h.l10n)+\" \":h.monthsDropdownContainer.value=n.getMonth().toString(),e.value=n.getFullYear().toString()})),h._hidePrevMonthArrow=void 0!==h.config.minDate&&(h.currentYear===h.config.minDate.getFullYear()?h.currentMonth<=h.config.minDate.getMonth():h.currentYear<h.config.minDate.getFullYear()),h._hideNextMonthArrow=void 0!==h.config.maxDate&&(h.currentYear===h.config.maxDate.getFullYear()?h.currentMonth+1>h.config.maxDate.getMonth():h.currentYear>h.config.maxDate.getFullYear()))}function he(e){return h.selectedDates.map((function(t){return h.formatDate(t,e)})).filter((function(e,t,n){return\"range\"!==h.config.mode||h.config.enableTime||n.indexOf(e)===t})).join(\"range\"!==h.config.mode?h.config.conjunction:h.l10n.rangeSeparator)}function ve(e){void 0===e&&(e=!0),void 0!==h.mobileInput&&h.mobileFormatStr&&(h.mobileInput.value=void 0!==h.latestSelectedDateObj?h.formatDate(h.latestSelectedDateObj,h.mobileFormatStr):\"\"),h.input.value=he(h.config.dateFormat),void 0!==h.altInput&&(h.altInput.value=he(h.config.altFormat)),!1!==e&&fe(\"onValueUpdate\")}function De(e){var t=h.prevMonthNav.contains(e.target),n=h.nextMonthNav.contains(e.target);t||n?$(t?-1:1):h.yearElements.indexOf(e.target)>=0?e.target.select():e.target.classList.contains(\"arrowUp\")?h.changeYear(h.currentYear+1):e.target.classList.contains(\"arrowDown\")&&h.changeYear(h.currentYear-1)}return function(){h.element=h.input=f,h.isOpen=!1,function(){var 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-webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  overflow: hidden;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\n.flatpickr-months .flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month {\\n  text-decoration: none;\\n  cursor: pointer;\\n  position: absolute;\\n  top: 0;\\n  height: 34px;\\n  padding: 10px;\\n  z-index: 3;\\n  color: rgba(0, 0, 0, 0.9);\\n  fill: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-disabled,\\n.flatpickr-months .flatpickr-next-month.flatpickr-disabled {\\n  display: none;\\n}\\n.flatpickr-months .flatpickr-prev-month i,\\n.flatpickr-months .flatpickr-next-month i {\\n  position: relative;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-prev-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  left: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month.flatpickr-next-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-next-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  right: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month:hover,\\n.flatpickr-months .flatpickr-next-month:hover {\\n  color: #959ea9;\\n}\\n.flatpickr-months .flatpickr-prev-month:hover svg,\\n.flatpickr-months .flatpickr-next-month:hover svg {\\n  fill: #f64747;\\n}\\n.flatpickr-months .flatpickr-prev-month svg,\\n.flatpickr-months .flatpickr-next-month svg {\\n  width: 14px;\\n  height: 14px;\\n}\\n.flatpickr-months .flatpickr-prev-month svg path,\\n.flatpickr-months .flatpickr-next-month svg path {\\n  -webkit-transition: fill 0.1s;\\n  transition: fill 0.1s;\\n  fill: inherit;\\n}\\n.numInputWrapper {\\n  position: relative;\\n  height: auto;\\n}\\n.numInputWrapper input,\\n.numInputWrapper span {\\n  display: inline-block;\\n}\\n.numInputWrapper input {\\n  width: 100%;\\n}\\n.numInputWrapper input::-ms-clear {\\n  display: none;\\n}\\n.numInputWrapper input::-webkit-outer-spin-button,\\n.numInputWrapper input::-webkit-inner-spin-button {\\n  margin: 0;\\n  -webkit-appearance: none;\\n}\\n.numInputWrapper span {\\n  position: absolute;\\n  right: 0;\\n  width: 14px;\\n  padding: 0 4px 0 2px;\\n  height: 50%;\\n  line-height: 50%;\\n  opacity: 0;\\n  cursor: pointer;\\n  border: 1px solid rgba(57, 57, 57, 0.15);\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.numInputWrapper span:hover {\\n  background: rgba(0, 0, 0, 0.1);\\n}\\n.numInputWrapper span:active {\\n  background: rgba(0, 0, 0, 0.2);\\n}\\n.numInputWrapper span:after {\\n  display: block;\\n  content: \"\";\\n  position: absolute;\\n}\\n.numInputWrapper span.arrowUp {\\n  top: 0;\\n  border-bottom: 0;\\n}\\n.numInputWrapper span.arrowUp:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-bottom: 4px solid rgba(57, 57, 57, 0.6);\\n  top: 26%;\\n}\\n.numInputWrapper span.arrowDown {\\n  top: 50%;\\n}\\n.numInputWrapper span.arrowDown:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-top: 4px solid rgba(57, 57, 57, 0.6);\\n  top: 40%;\\n}\\n.numInputWrapper span svg {\\n  width: inherit;\\n  height: auto;\\n}\\n.numInputWrapper span svg path {\\n  fill: rgba(0, 0, 0, 0.5);\\n}\\n.numInputWrapper:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.numInputWrapper:hover span {\\n  opacity: 1;\\n}\\n.flatpickr-current-month {\\n  font-size: 135%;\\n  line-height: inherit;\\n  font-weight: 300;\\n  color: inherit;\\n  position: absolute;\\n  width: 75%;\\n  left: 12.5%;\\n  padding: 7.48px 0 0 0;\\n  line-height: 1;\\n  height: 34px;\\n  display: inline-block;\\n  text-align: center;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n}\\n.flatpickr-current-month span.cur-month {\\n  font-family: inherit;\\n  font-weight: 700;\\n  color: inherit;\\n  display: inline-block;\\n  margin-left: 0.5ch;\\n  padding: 0;\\n}\\n.flatpickr-current-month span.cur-month:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .numInputWrapper {\\n  width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(0, 0, 0, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: transparent;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: transparent;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: transparent;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: transparent;\\n  color: rgba(0, 0, 0, 0.54);\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #e6e6e6;\\n  box-shadow: -1px 0 0 #e6e6e6;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #393939;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e6e6e6;\\n  border-color: #e6e6e6;\\n}\\n.flatpickr-day.today {\\n  border-color: #959ea9;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #959ea9;\\n  background: #959ea9;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #569ff7;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #569ff7;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #569ff7;\\n  box-shadow: -10px 0 0 #569ff7;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(57, 57, 57, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n  box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  -webkit-box-shadow: 1px 0 0 #e6e6e6;\\n  box-shadow: 1px 0 0 #e6e6e6;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #393939;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #393939;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #393939;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #393939;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eee;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n.flatpickr-calendar {\\n  background: transparent;\\n  opacity: 0;\\n  display: none;\\n  text-align: center;\\n  visibility: hidden;\\n  padding: 0;\\n  -webkit-animation: none;\\n  animation: none;\\n  direction: ltr;\\n  border: 0;\\n  font-size: 14px;\\n  line-height: 24px;\\n  border-radius: 5px;\\n  position: absolute;\\n  width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -ms-touch-action: manipulation;\\n  touch-action: manipulation;\\n  -webkit-box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n  box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n}\\n.flatpickr-calendar.open,\\n.flatpickr-calendar.inline {\\n  opacity: 1;\\n  max-height: 640px;\\n  visibility: visible;\\n}\\n.flatpickr-calendar.open {\\n  display: inline-block;\\n  z-index: 99999;\\n}\\n.flatpickr-calendar.animate.open {\\n  -webkit-animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n  animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n}\\n.flatpickr-calendar.inline {\\n  display: block;\\n  position: relative;\\n  top: 2px;\\n}\\n.flatpickr-calendar.static {\\n  position: absolute;\\n  top: calc(100% + 2px);\\n}\\n.flatpickr-calendar.static.open {\\n  z-index: 999;\\n  display: block;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+1) .flatpickr-day.inRange:nth-child(7n+7) {\\n  -webkit-box-shadow: none !important;\\n  box-shadow: none !important;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+2) .flatpickr-day.inRange:nth-child(7n+1) {\\n  -webkit-box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer,\\n.flatpickr-calendar .hasTime .dayContainer {\\n  border-bottom: 0;\\n  border-bottom-right-radius: 0;\\n  border-bottom-left-radius: 0;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer {\\n  border-left: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  height: 40px;\\n  border-top: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-innerContainer {\\n  border-bottom: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  border: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.noCalendar.hasTime .flatpickr-time {\\n  height: auto;\\n}\\n.flatpickr-calendar:before,\\n.flatpickr-calendar:after {\\n  position: absolute;\\n  display: block;\\n  pointer-events: none;\\n  border: solid transparent;\\n  content: \\'\\';\\n  height: 0;\\n  width: 0;\\n  left: 22px;\\n}\\n.flatpickr-calendar.rightMost:before,\\n.flatpickr-calendar.rightMost:after {\\n  left: auto;\\n  right: 22px;\\n}\\n.flatpickr-calendar:before {\\n  border-width: 5px;\\n  margin: 0 -5px;\\n}\\n.flatpickr-calendar:after {\\n  border-width: 4px;\\n  margin: 0 -4px;\\n}\\n.flatpickr-calendar.arrowTop:before,\\n.flatpickr-calendar.arrowTop:after {\\n  bottom: 100%;\\n}\\n.flatpickr-calendar.arrowTop:before {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowTop:after {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:before,\\n.flatpickr-calendar.arrowBottom:after {\\n  top: 100%;\\n}\\n.flatpickr-calendar.arrowBottom:before {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:after {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar:focus {\\n  outline: 0;\\n}\\n.flatpickr-wrapper {\\n  position: relative;\\n  display: inline-block;\\n}\\n.flatpickr-months {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-months .flatpickr-month {\\n  border-radius: 5px 5px 0 0;\\n  background: #eceef1;\\n  color: #5a6171;\\n  fill: #5a6171;\\n  height: 34px;\\n  line-height: 1;\\n  text-align: center;\\n  position: relative;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  overflow: hidden;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\n.flatpickr-months .flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month {\\n  text-decoration: none;\\n  cursor: pointer;\\n  position: absolute;\\n  top: 0;\\n  height: 34px;\\n  padding: 10px;\\n  z-index: 3;\\n  color: #5a6171;\\n  fill: #5a6171;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-disabled,\\n.flatpickr-months .flatpickr-next-month.flatpickr-disabled {\\n  display: none;\\n}\\n.flatpickr-months .flatpickr-prev-month i,\\n.flatpickr-months .flatpickr-next-month i {\\n  position: relative;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-prev-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  left: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month.flatpickr-next-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-next-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  right: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month:hover,\\n.flatpickr-months .flatpickr-next-month:hover {\\n  color: #bbb;\\n}\\n.flatpickr-months .flatpickr-prev-month:hover svg,\\n.flatpickr-months .flatpickr-next-month:hover svg {\\n  fill: #f64747;\\n}\\n.flatpickr-months .flatpickr-prev-month svg,\\n.flatpickr-months .flatpickr-next-month svg {\\n  width: 14px;\\n  height: 14px;\\n}\\n.flatpickr-months .flatpickr-prev-month svg path,\\n.flatpickr-months .flatpickr-next-month svg path {\\n  -webkit-transition: fill 0.1s;\\n  transition: fill 0.1s;\\n  fill: inherit;\\n}\\n.numInputWrapper {\\n  position: relative;\\n  height: auto;\\n}\\n.numInputWrapper input,\\n.numInputWrapper span {\\n  display: inline-block;\\n}\\n.numInputWrapper input {\\n  width: 100%;\\n}\\n.numInputWrapper input::-ms-clear {\\n  display: none;\\n}\\n.numInputWrapper input::-webkit-outer-spin-button,\\n.numInputWrapper input::-webkit-inner-spin-button {\\n  margin: 0;\\n  -webkit-appearance: none;\\n}\\n.numInputWrapper span {\\n  position: absolute;\\n  right: 0;\\n  width: 14px;\\n  padding: 0 4px 0 2px;\\n  height: 50%;\\n  line-height: 50%;\\n  opacity: 0;\\n  cursor: pointer;\\n  border: 1px solid rgba(72, 72, 72, 0.15);\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.numInputWrapper span:hover {\\n  background: rgba(0, 0, 0, 0.1);\\n}\\n.numInputWrapper span:active {\\n  background: rgba(0, 0, 0, 0.2);\\n}\\n.numInputWrapper span:after {\\n  display: block;\\n  content: \"\";\\n  position: absolute;\\n}\\n.numInputWrapper span.arrowUp {\\n  top: 0;\\n  border-bottom: 0;\\n}\\n.numInputWrapper span.arrowUp:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-bottom: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 26%;\\n}\\n.numInputWrapper span.arrowDown {\\n  top: 50%;\\n}\\n.numInputWrapper span.arrowDown:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-top: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 40%;\\n}\\n.numInputWrapper span svg {\\n  width: inherit;\\n  height: auto;\\n}\\n.numInputWrapper span svg path {\\n  fill: rgba(90, 97, 113, 0.5);\\n}\\n.numInputWrapper:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.numInputWrapper:hover span {\\n  opacity: 1;\\n}\\n.flatpickr-current-month {\\n  font-size: 135%;\\n  line-height: inherit;\\n  font-weight: 300;\\n  color: inherit;\\n  position: absolute;\\n  width: 75%;\\n  left: 12.5%;\\n  padding: 7.48px 0 0 0;\\n  line-height: 1;\\n  height: 34px;\\n  display: inline-block;\\n  text-align: center;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n}\\n.flatpickr-current-month span.cur-month {\\n  font-family: inherit;\\n  font-weight: 700;\\n  color: inherit;\\n  display: inline-block;\\n  margin-left: 0.5ch;\\n  padding: 0;\\n}\\n.flatpickr-current-month span.cur-month:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .numInputWrapper {\\n  width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #5a6171;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: #5a6171;\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(90, 97, 113, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: #eceef1;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: #eceef1;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: #eceef1;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: #eceef1;\\n  color: #5a6171;\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n  border-left: 1px solid #eceef1;\\n  border-right: 1px solid #eceef1;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #eceef1;\\n  box-shadow: -1px 0 0 #eceef1;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #484848;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e2e2e2;\\n  border-color: #e2e2e2;\\n}\\n.flatpickr-day.today {\\n  border-color: #bbb;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #bbb;\\n  background: #bbb;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #ff5a5f;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #ff5a5f;\\n  box-shadow: -10px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n  box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(72, 72, 72, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n  box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  border-left: 1px solid #eceef1;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  background: #fff;\\n  border-bottom: 1px solid #eceef1;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  background: #fff;\\n  border-radius: 0 0 5px 5px;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #484848;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #484848;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #484848;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #484848;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eaeaea;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\nspan.flatpickr-day.selected {\\n  font-weight: bold;\\n}\\n'},\n",
+       "      410: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(1).__importDefault(e(159)),r=e(411);class n extends r.AbstractRangeSliderView{}a.DateRangeSliderView=n,n.__name__=\"DateRangeSliderView\";class d extends r.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_DateRangeSlider(){this.prototype.default_view=n,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return i.default(e,t)}}a.DateRangeSlider=d,d.__name__=\"DateRangeSlider\",d.init_DateRangeSlider()},\n",
+       "      411: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=i.__importStar(e(412)),r=i.__importStar(e(18)),o=e(68),n=e(9),a=e(393),d=e(413),h=e(400),_=i.__importDefault(e(414)),c=i.__importDefault(e(415));class u extends a.ControlView{*controls(){yield this.slider_el}get noUiSlider(){return this.slider_el.noUiSlider}connect_signals(){super.connect_signals();const{direction:e,orientation:t,tooltips:s}=this.model.properties;this.on_change([e,t,s],()=>this.render());const{start:i,end:l,value:r,step:o,title:n}=this.model.properties;this.on_change([i,l,r,o],()=>{const{start:e,end:t,value:s,step:i}=this._calc_to();this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i})});const{bar_color:a}=this.model.properties;this.on_change(a,()=>{this._set_bar_color()});const{show_value:d}=this.model.properties;this.on_change([r,n,d],()=>this._update_title())}styles(){return[...super.styles(),_.default,c.default]}_update_title(){o.empty(this.title_el);const e=null==this.model.title||0==this.model.title.length&&!this.model.show_value;if(this.title_el.style.display=e?\"none\":\"\",!e&&(0!=this.model.title.length&&(this.title_el.textContent=this.model.title+\": \"),this.model.show_value)){const{value:e}=this._calc_to(),t=e.map(e=>this.model.pretty(e)).join(\" .. \");this.title_el.appendChild(o.span({class:d.bk_slider_value},t))}}_set_bar_color(){if(!this.model.disabled){this.slider_el.querySelector(\".noUi-connect\").style.backgroundColor=this.model.bar_color}}_keypress_handle(e,t=0){const{start:s,value:i,end:l,step:r}=this._calc_to(),o=2==i.length;let n=s,a=l;switch(o&&0==t?a=i[1]:o&&1==t&&(n=i[0]),e.which){case 37:i[t]=Math.max(i[t]-r,n);break;case 39:i[t]=Math.min(i[t]+r,a);break;default:return}this.model.value=o?i:i[0],this.model.properties.value.change.emit(),this.model.value_throttled=this.model.value,this.noUiSlider.set(i)}render(){super.render();const{start:e,end:t,value:s,step:i}=this._calc_to();let r;if(this.model.tooltips){const e={to:e=>this.model.pretty(e)};r=n.repeat(e,s.length)}else r=!1;if(null==this.slider_el){this.slider_el=o.div(),l.create(this.slider_el,{range:{min:e,max:t},start:s,step:i,behaviour:this.model.behaviour,connect:this.model.connected,tooltips:r,orientation:this.model.orientation,direction:this.model.direction}),this.noUiSlider.on(\"slide\",(e,t,s)=>this._slide(s)),this.noUiSlider.on(\"change\",(e,t,s)=>this._change(s)),this._set_keypress_handles();const n=(e,t)=>{if(!r)return;this.slider_el.querySelectorAll(\".noUi-handle\")[e].querySelector(\".noUi-tooltip\").style.display=t?\"block\":\"\"};this.noUiSlider.on(\"start\",(e,t)=>n(t,!0)),this.noUiSlider.on(\"end\",(e,t)=>n(t,!1))}else this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i});this._set_bar_color(),this.model.disabled?this.slider_el.setAttribute(\"disabled\",\"true\"):this.slider_el.removeAttribute(\"disabled\"),this.title_el=o.div({class:d.bk_slider_title}),this._update_title(),this.group_el=o.div({class:h.bk_input_group},this.title_el,this.slider_el),this.el.appendChild(this.group_el)}_slide(e){this.model.value=this._calc_from(e)}_change(e){this.model.value=this._calc_from(e),this.model.value_throttled=this.model.value}}u.__name__=\"AbstractBaseSliderView\";class m extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:[this.model.value],step:this.model.step}}_calc_from([e]){return Number.isInteger(this.model.start)&&Number.isInteger(this.model.end)&&Number.isInteger(this.model.step)?Math.round(e):e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e))}}s.AbstractSliderView=m,m.__name__=\"AbstractSliderView\";class p extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:this.model.value,step:this.model.step}}_calc_from(e){return e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle-lower\"),t=this.slider_el.querySelector(\".noUi-handle-upper\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e,0)),t.setAttribute(\"tabindex\",\"1\"),t.addEventListener(\"keydown\",e=>this._keypress_handle(e,1))}}s.AbstractRangeSliderView=p,p.__name__=\"AbstractRangeSliderView\";class b extends a.Control{constructor(e){super(e),this.connected=!1}static init_AbstractSlider(){this.define({title:[r.String,\"\"],show_value:[r.Boolean,!0],start:[r.Any],end:[r.Any],value:[r.Any],value_throttled:[r.Any],step:[r.Number,1],format:[r.Any],direction:[r.Any,\"ltr\"],tooltips:[r.Boolean,!0],bar_color:[r.Color,\"#e6e6e6\"]})}_formatter(e,t){return\"\"+e}pretty(e){return this._formatter(e,this.format)}}s.AbstractSlider=b,b.__name__=\"AbstractSlider\",b.init_AbstractSlider()},\n",
+       "      412: function _(t,e,r){\n",
+       "      /*! nouislider - 14.5.0 - 5/11/2020 */\n",
+       "      var n;n=function(){\"use strict\";var t=\"14.5.0\";function e(t){t.parentElement.removeChild(t)}function r(t){return null!=t}function n(t){t.preventDefault()}function i(t){return\"number\"==typeof t&&!isNaN(t)&&isFinite(t)}function o(t,e,r){r>0&&(u(t,e),setTimeout((function(){c(t,e)}),r))}function s(t){return Math.max(Math.min(t,100),0)}function a(t){return Array.isArray(t)?t:[t]}function l(t){var e=(t=String(t)).split(\".\");return e.length>1?e[1].length:0}function u(t,e){t.classList&&!/\\s/.test(e)?t.classList.add(e):t.className+=\" \"+e}function c(t,e){t.classList&&!/\\s/.test(e)?t.classList.remove(e):t.className=t.className.replace(new RegExp(\"(^|\\\\b)\"+e.split(\" \").join(\"|\")+\"(\\\\b|$)\",\"gi\"),\" \")}function p(t){var e=void 0!==window.pageXOffset,r=\"CSS1Compat\"===(t.compatMode||\"\");return{x:e?window.pageXOffset:r?t.documentElement.scrollLeft:t.body.scrollLeft,y:e?window.pageYOffset:r?t.documentElement.scrollTop:t.body.scrollTop}}function f(t,e){return 100/(e-t)}function d(t,e,r){return 100*e/(t[r+1]-t[r])}function h(t,e){for(var r=1;t>=e[r];)r+=1;return r}function m(t,e,r){if(r>=t.slice(-1)[0])return 100;var n=h(r,t),i=t[n-1],o=t[n],s=e[n-1],a=e[n];return s+function(t,e){return d(t,t[0]<0?e+Math.abs(t[0]):e-t[0],0)}([i,o],r)/f(s,a)}function g(t,e,r,n){if(100===n)return n;var i=h(n,t),o=t[i-1],s=t[i];return r?n-o>(s-o)/2?s:o:e[i-1]?t[i-1]+function(t,e){return Math.round(t/e)*e}(n-t[i-1],e[i-1]):n}function v(t,e,r){var n;if(\"number\"==typeof e&&(e=[e]),!Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'range' contains invalid value.\");if(!i(n=\"min\"===t?0:\"max\"===t?100:parseFloat(t))||!i(e[0]))throw new Error(\"noUiSlider (14.5.0): 'range' value isn't numeric.\");r.xPct.push(n),r.xVal.push(e[0]),n?r.xSteps.push(!isNaN(e[1])&&e[1]):isNaN(e[1])||(r.xSteps[0]=e[1]),r.xHighestCompleteStep.push(0)}function x(t,e,r){if(e)if(r.xVal[t]!==r.xVal[t+1]){r.xSteps[t]=d([r.xVal[t],r.xVal[t+1]],e,0)/f(r.xPct[t],r.xPct[t+1]);var n=(r.xVal[t+1]-r.xVal[t])/r.xNumSteps[t],i=Math.ceil(Number(n.toFixed(3))-1),o=r.xVal[t]+r.xNumSteps[t]*i;r.xHighestCompleteStep[t]=o}else r.xSteps[t]=r.xHighestCompleteStep[t]=r.xVal[t]}function b(t,e,r){var n;this.xPct=[],this.xVal=[],this.xSteps=[r||!1],this.xNumSteps=[!1],this.xHighestCompleteStep=[],this.snap=e;var i=[];for(n in t)t.hasOwnProperty(n)&&i.push([t[n],n]);for(i.length&&\"object\"==typeof i[0][0]?i.sort((function(t,e){return t[0][0]-e[0][0]})):i.sort((function(t,e){return t[0]-e[0]})),n=0;n<i.length;n++)v(i[n][1],i[n][0],this);for(this.xNumSteps=this.xSteps.slice(0),n=0;n<this.xNumSteps.length;n++)x(n,this.xNumSteps[n],this)}b.prototype.getDistance=function(t){var e,r=[];for(e=0;e<this.xNumSteps.length-1;e++){var n=this.xNumSteps[e];if(n&&t/n%1!=0)throw new Error(\"noUiSlider (14.5.0): 'limit', 'margin' and 'padding' of \"+this.xPct[e]+\"% range must be divisible by step.\");r[e]=d(this.xVal,t,e)}return r},b.prototype.getAbsoluteDistance=function(t,e,r){var n,i=0;if(t<this.xPct[this.xPct.length-1])for(;t>this.xPct[i+1];)i++;else t===this.xPct[this.xPct.length-1]&&(i=this.xPct.length-2);r||t!==this.xPct[i+1]||i++;var o=1,s=e[i],a=0,l=0,u=0,c=0;for(n=r?(t-this.xPct[i])/(this.xPct[i+1]-this.xPct[i]):(this.xPct[i+1]-t)/(this.xPct[i+1]-this.xPct[i]);s>0;)a=this.xPct[i+1+c]-this.xPct[i+c],e[i+c]*o+100-100*n>100?(l=a*n,o=(s-100*n)/e[i+c],n=1):(l=e[i+c]*a/100*o,o=0),r?(u-=l,this.xPct.length+c>=1&&c--):(u+=l,this.xPct.length-c>=1&&c++),s=e[i+c]*o;return t+u},b.prototype.toStepping=function(t){return t=m(this.xVal,this.xPct,t)},b.prototype.fromStepping=function(t){return function(t,e,r){if(r>=100)return t.slice(-1)[0];var n=h(r,e),i=t[n-1],o=t[n],s=e[n-1];return function(t,e){return e*(t[1]-t[0])/100+t[0]}([i,o],(r-s)*f(s,e[n]))}(this.xVal,this.xPct,t)},b.prototype.getStep=function(t){return t=g(this.xPct,this.xSteps,this.snap,t)},b.prototype.getDefaultStep=function(t,e,r){var n=h(t,this.xPct);return(100===t||e&&t===this.xPct[n-1])&&(n=Math.max(n-1,1)),(this.xVal[n]-this.xVal[n-1])/r},b.prototype.getNearbySteps=function(t){var e=h(t,this.xPct);return{stepBefore:{startValue:this.xVal[e-2],step:this.xNumSteps[e-2],highestStep:this.xHighestCompleteStep[e-2]},thisStep:{startValue:this.xVal[e-1],step:this.xNumSteps[e-1],highestStep:this.xHighestCompleteStep[e-1]},stepAfter:{startValue:this.xVal[e],step:this.xNumSteps[e],highestStep:this.xHighestCompleteStep[e]}}},b.prototype.countStepDecimals=function(){var t=this.xNumSteps.map(l);return Math.max.apply(null,t)},b.prototype.convert=function(t){return this.getStep(this.toStepping(t))};var S={to:function(t){return void 0!==t&&t.toFixed(2)},from:Number},w={target:\"target\",base:\"base\",origin:\"origin\",handle:\"handle\",handleLower:\"handle-lower\",handleUpper:\"handle-upper\",touchArea:\"touch-area\",horizontal:\"horizontal\",vertical:\"vertical\",background:\"background\",connect:\"connect\",connects:\"connects\",ltr:\"ltr\",rtl:\"rtl\",textDirectionLtr:\"txt-dir-ltr\",textDirectionRtl:\"txt-dir-rtl\",draggable:\"draggable\",drag:\"state-drag\",tap:\"state-tap\",active:\"active\",tooltip:\"tooltip\",pips:\"pips\",pipsHorizontal:\"pips-horizontal\",pipsVertical:\"pips-vertical\",marker:\"marker\",markerHorizontal:\"marker-horizontal\",markerVertical:\"marker-vertical\",markerNormal:\"marker-normal\",markerLarge:\"marker-large\",markerSub:\"marker-sub\",value:\"value\",valueHorizontal:\"value-horizontal\",valueVertical:\"value-vertical\",valueNormal:\"value-normal\",valueLarge:\"value-large\",valueSub:\"value-sub\"};function y(t){if(function(t){return\"object\"==typeof t&&\"function\"==typeof t.to&&\"function\"==typeof t.from}(t))return!0;throw new Error(\"noUiSlider (14.5.0): 'format' requires 'to' and 'from' methods.\")}function E(t,e){if(!i(e))throw new Error(\"noUiSlider (14.5.0): 'step' is not numeric.\");t.singleStep=e}function C(t,e){if(\"object\"!=typeof e||Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'range' is not an object.\");if(void 0===e.min||void 0===e.max)throw new Error(\"noUiSlider (14.5.0): Missing 'min' or 'max' in 'range'.\");if(e.min===e.max)throw new Error(\"noUiSlider (14.5.0): 'range' 'min' and 'max' cannot be equal.\");t.spectrum=new b(e,t.snap,t.singleStep)}function N(t,e){if(e=a(e),!Array.isArray(e)||!e.length)throw new Error(\"noUiSlider (14.5.0): 'start' option is incorrect.\");t.handles=e.length,t.start=e}function P(t,e){if(t.snap=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'snap' option must be a boolean.\")}function U(t,e){if(t.animate=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'animate' option must be a boolean.\")}function A(t,e){if(t.animationDuration=e,\"number\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'animationDuration' option must be a number.\")}function V(t,e){var r,n=[!1];if(\"lower\"===e?e=[!0,!1]:\"upper\"===e&&(e=[!1,!0]),!0===e||!1===e){for(r=1;r<t.handles;r++)n.push(e);n.push(!1)}else{if(!Array.isArray(e)||!e.length||e.length!==t.handles+1)throw new Error(\"noUiSlider (14.5.0): 'connect' option doesn't match handle count.\");n=e}t.connect=n}function k(t,e){switch(e){case\"horizontal\":t.ort=0;break;case\"vertical\":t.ort=1;break;default:throw new Error(\"noUiSlider (14.5.0): 'orientation' option is invalid.\")}}function D(t,e){if(!i(e))throw new Error(\"noUiSlider (14.5.0): 'margin' option must be numeric.\");0!==e&&(t.margin=t.spectrum.getDistance(e))}function M(t,e){if(!i(e))throw new Error(\"noUiSlider (14.5.0): 'limit' option must be numeric.\");if(t.limit=t.spectrum.getDistance(e),!t.limit||t.handles<2)throw new Error(\"noUiSlider (14.5.0): 'limit' option is only supported on linear sliders with 2 or more handles.\")}function O(t,e){var r;if(!i(e)&&!Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'padding' option must be numeric or array of exactly 2 numbers.\");if(Array.isArray(e)&&2!==e.length&&!i(e[0])&&!i(e[1]))throw new Error(\"noUiSlider (14.5.0): 'padding' option must be numeric or array of exactly 2 numbers.\");if(0!==e){for(Array.isArray(e)||(e=[e,e]),t.padding=[t.spectrum.getDistance(e[0]),t.spectrum.getDistance(e[1])],r=0;r<t.spectrum.xNumSteps.length-1;r++)if(t.padding[0][r]<0||t.padding[1][r]<0)throw new Error(\"noUiSlider (14.5.0): 'padding' option must be a positive number(s).\");var n=e[0]+e[1],o=t.spectrum.xVal[0];if(n/(t.spectrum.xVal[t.spectrum.xVal.length-1]-o)>1)throw new Error(\"noUiSlider (14.5.0): 'padding' option must not exceed 100% of the range.\")}}function L(t,e){switch(e){case\"ltr\":t.dir=0;break;case\"rtl\":t.dir=1;break;default:throw new Error(\"noUiSlider (14.5.0): 'direction' 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t.to))throw new Error(\"noUiSlider (14.5.0): 'tooltips' must be passed a formatter or 'false'.\")}))}}function j(t,e){t.ariaFormat=e,y(e)}function F(t,e){t.format=e,y(e)}function R(t,e){if(t.keyboardSupport=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'keyboardSupport' option must be a boolean.\")}function T(t,e){t.documentElement=e}function B(t,e){if(\"string\"!=typeof e&&!1!==e)throw new Error(\"noUiSlider (14.5.0): 'cssPrefix' must be a string or `false`.\");t.cssPrefix=e}function q(t,e){if(\"object\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'cssClasses' must be an object.\");if(\"string\"==typeof t.cssPrefix)for(var r in t.cssClasses={},e)e.hasOwnProperty(r)&&(t.cssClasses[r]=t.cssPrefix+e[r]);else t.cssClasses=e}function X(t){var 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+       "      414: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default=\"\\n.bk-root {\\n  /*! nouislider - 14.5.0 - 5/11/2020 */\\n  /* Functional styling;\\n * These styles are required for noUiSlider to function.\\n * You don't need to change these rules to apply your design.\\n */\\n  /* Wrapper for all connect elements.\\n */\\n  /* Offset direction\\n */\\n  /* Give origins 0 height/width so they don't interfere with clicking the\\n * connect elements.\\n */\\n  /* Slider size and handle placement;\\n */\\n  /* Styling;\\n * Giving the connect element a border radius causes issues with using transform: scale\\n */\\n  /* Handles and cursors;\\n */\\n  /* Handle stripes;\\n */\\n  /* Disabled state;\\n */\\n  /* Base;\\n *\\n */\\n  /* Values;\\n *\\n */\\n  /* Markings;\\n *\\n */\\n  /* Horizontal layout;\\n *\\n */\\n  /* Vertical layout;\\n *\\n */\\n}\\n.bk-root .noUi-target,\\n.bk-root .noUi-target * {\\n  -webkit-touch-callout: none;\\n  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);\\n  -webkit-user-select: none;\\n  -ms-touch-action: none;\\n  touch-action: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  user-select: none;\\n  -moz-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.bk-root .noUi-target {\\n  position: relative;\\n}\\n.bk-root .noUi-base,\\n.bk-root .noUi-connects {\\n  width: 100%;\\n  height: 100%;\\n  position: relative;\\n  z-index: 1;\\n}\\n.bk-root .noUi-connects {\\n  overflow: hidden;\\n  z-index: 0;\\n}\\n.bk-root .noUi-connect,\\n.bk-root .noUi-origin {\\n  will-change: transform;\\n  position: absolute;\\n  z-index: 1;\\n  top: 0;\\n  right: 0;\\n  -ms-transform-origin: 0 0;\\n  -webkit-transform-origin: 0 0;\\n  -webkit-transform-style: preserve-3d;\\n  transform-origin: 0 0;\\n  transform-style: flat;\\n}\\n.bk-root .noUi-connect {\\n  height: 100%;\\n  width: 100%;\\n}\\n.bk-root .noUi-origin {\\n  height: 10%;\\n  width: 10%;\\n}\\n.bk-root .noUi-txt-dir-rtl.noUi-horizontal .noUi-origin {\\n  left: 0;\\n  right: auto;\\n}\\n.bk-root .noUi-vertical .noUi-origin {\\n  width: 0;\\n}\\n.bk-root .noUi-horizontal .noUi-origin {\\n  height: 0;\\n}\\n.bk-root .noUi-handle {\\n  -webkit-backface-visibility: hidden;\\n  backface-visibility: hidden;\\n  position: absolute;\\n}\\n.bk-root .noUi-touch-area {\\n  height: 100%;\\n  width: 100%;\\n}\\n.bk-root .noUi-state-tap .noUi-connect,\\n.bk-root .noUi-state-tap .noUi-origin {\\n  -webkit-transition: transform 0.3s;\\n  transition: transform 0.3s;\\n}\\n.bk-root .noUi-state-drag * {\\n  cursor: inherit !important;\\n}\\n.bk-root .noUi-horizontal {\\n  height: 18px;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n  width: 34px;\\n  height: 28px;\\n  right: -17px;\\n  top: -6px;\\n}\\n.bk-root .noUi-vertical {\\n  width: 18px;\\n}\\n.bk-root .noUi-vertical .noUi-handle {\\n  width: 28px;\\n  height: 34px;\\n  right: -6px;\\n  top: -17px;\\n}\\n.bk-root .noUi-txt-dir-rtl.noUi-horizontal .noUi-handle {\\n  left: -17px;\\n  right: auto;\\n}\\n.bk-root .noUi-target {\\n  background: #FAFAFA;\\n  border-radius: 4px;\\n  border: 1px solid #D3D3D3;\\n  box-shadow: inset 0 1px 1px #F0F0F0, 0 3px 6px -5px #BBB;\\n}\\n.bk-root .noUi-connects {\\n  border-radius: 3px;\\n}\\n.bk-root .noUi-connect {\\n  background: #3FB8AF;\\n}\\n.bk-root .noUi-draggable {\\n  cursor: ew-resize;\\n}\\n.bk-root .noUi-vertical .noUi-draggable {\\n  cursor: ns-resize;\\n}\\n.bk-root .noUi-handle {\\n  border: 1px solid #D9D9D9;\\n  border-radius: 3px;\\n  background: #FFF;\\n  cursor: default;\\n  box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #EBEBEB, 0 3px 6px -3px #BBB;\\n}\\n.bk-root .noUi-active {\\n  box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #DDD, 0 3px 6px -3px #BBB;\\n}\\n.bk-root .noUi-handle:before,\\n.bk-root .noUi-handle:after {\\n  content: \\\"\\\";\\n  display: block;\\n  position: absolute;\\n  height: 14px;\\n  width: 1px;\\n  background: #E8E7E6;\\n  left: 14px;\\n  top: 6px;\\n}\\n.bk-root .noUi-handle:after {\\n  left: 17px;\\n}\\n.bk-root .noUi-vertical .noUi-handle:before,\\n.bk-root .noUi-vertical .noUi-handle:after {\\n  width: 14px;\\n  height: 1px;\\n  left: 6px;\\n  top: 14px;\\n}\\n.bk-root .noUi-vertical .noUi-handle:after {\\n  top: 17px;\\n}\\n.bk-root [disabled] .noUi-connect {\\n  background: #B8B8B8;\\n}\\n.bk-root [disabled].noUi-target,\\n.bk-root [disabled].noUi-handle,\\n.bk-root [disabled] .noUi-handle {\\n  cursor: not-allowed;\\n}\\n.bk-root .noUi-pips,\\n.bk-root .noUi-pips * {\\n  -moz-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.bk-root .noUi-pips {\\n  position: absolute;\\n  color: #999;\\n}\\n.bk-root .noUi-value {\\n  position: absolute;\\n  white-space: nowrap;\\n  text-align: center;\\n}\\n.bk-root .noUi-value-sub {\\n  color: #ccc;\\n  font-size: 10px;\\n}\\n.bk-root .noUi-marker {\\n  position: absolute;\\n  background: #CCC;\\n}\\n.bk-root .noUi-marker-sub {\\n  background: #AAA;\\n}\\n.bk-root .noUi-marker-large {\\n  background: #AAA;\\n}\\n.bk-root .noUi-pips-horizontal {\\n  padding: 10px 0;\\n  height: 80px;\\n  top: 100%;\\n  left: 0;\\n  width: 100%;\\n}\\n.bk-root .noUi-value-horizontal {\\n  -webkit-transform: translate(-50%, 50%);\\n  transform: translate(-50%, 50%);\\n}\\n.bk-root .noUi-rtl .noUi-value-horizontal {\\n  -webkit-transform: translate(50%, 50%);\\n  transform: translate(50%, 50%);\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker {\\n  margin-left: -1px;\\n  width: 2px;\\n  height: 5px;\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker-sub {\\n  height: 10px;\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker-large {\\n  height: 15px;\\n}\\n.bk-root .noUi-pips-vertical {\\n  padding: 0 10px;\\n  height: 100%;\\n  top: 0;\\n  left: 100%;\\n}\\n.bk-root .noUi-value-vertical {\\n  -webkit-transform: translate(0, -50%);\\n  transform: translate(0, -50%);\\n  padding-left: 25px;\\n}\\n.bk-root .noUi-rtl .noUi-value-vertical {\\n  -webkit-transform: translate(0, 50%);\\n  transform: translate(0, 50%);\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker {\\n  width: 5px;\\n  height: 2px;\\n  margin-top: -1px;\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker-sub {\\n  width: 10px;\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker-large {\\n  width: 15px;\\n}\\n.bk-root .noUi-tooltip {\\n  display: block;\\n  position: absolute;\\n  border: 1px solid #D9D9D9;\\n  border-radius: 3px;\\n  background: #fff;\\n  color: #000;\\n  padding: 5px;\\n  text-align: center;\\n  white-space: nowrap;\\n}\\n.bk-root .noUi-horizontal .noUi-tooltip {\\n  -webkit-transform: translate(-50%, 0);\\n  transform: translate(-50%, 0);\\n  left: 50%;\\n  bottom: 120%;\\n}\\n.bk-root .noUi-vertical .noUi-tooltip {\\n  -webkit-transform: translate(0, -50%);\\n  transform: translate(0, -50%);\\n  top: 50%;\\n  right: 120%;\\n}\\n.bk-root .noUi-horizontal .noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(50%, 0);\\n  transform: translate(50%, 0);\\n  left: auto;\\n  bottom: 10px;\\n}\\n.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(0, -18px);\\n  transform: translate(0, -18px);\\n  top: auto;\\n  right: 28px;\\n}\\n.bk-root .noUi-handle {\\n  cursor: grab;\\n  cursor: -webkit-grab;\\n}\\n.bk-root .noUi-handle.noUi-active {\\n  cursor: grabbing;\\n  cursor: -webkit-grabbing;\\n}\\n.bk-root .noUi-handle:after,\\n.bk-root .noUi-handle:before {\\n  display: none;\\n}\\n.bk-root .noUi-tooltip {\\n  display: none;\\n  white-space: nowrap;\\n}\\n.bk-root .noUi-handle:hover .noUi-tooltip {\\n  display: block;\\n}\\n.bk-root .noUi-horizontal {\\n  width: 100%;\\n  height: 10px;\\n}\\n.bk-root .noUi-vertical {\\n  width: 10px;\\n  height: 100%;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n  width: 14px;\\n  height: 18px;\\n  right: -7px;\\n  top: -5px;\\n}\\n.bk-root .noUi-vertical .noUi-handle {\\n  width: 18px;\\n  height: 14px;\\n  right: -5px;\\n  top: -7px;\\n}\\n.bk-root .noUi-target.noUi-horizontal {\\n  margin: 5px 0px;\\n}\\n.bk-root .noUi-target.noUi-vertical {\\n  margin: 0px 5px;\\n}\\n\"},\n",
+       "      415: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default=\"\\n.bk-root .bk-slider-title {\\n  white-space: nowrap;\\n}\\n.bk-root .bk-slider-value {\\n  font-weight: 600;\\n}\\n\"},\n",
+       "      416: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1).__importDefault(e(159)),a=e(411);class d extends a.AbstractSliderView{}i.DateSliderView=d,d.__name__=\"DateSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_DateSlider(){this.prototype.default_view=d,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return r.default(e,t)}}i.DateSlider=s,s.__name__=\"DateSlider\",s.init_DateSlider()},\n",
+       "      417: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),_=e(418),n=r.__importStar(e(18));class s extends _.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.model.text}}i.DivView=s,s.__name__=\"DivView\";class a extends _.Markup{constructor(e){super(e)}static init_Div(){this.prototype.default_view=s,this.define({render_as_text:[n.Boolean,!1]})}}i.Div=a,a.__name__=\"Div\",a.init_Div()},\n",
+       "      418: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(193),n=e(68),l=i.__importStar(e(18)),r=e(458),_=e(419),c=i.__importDefault(e(420));class u extends r.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>{this.layout.invalidate_cache(),this.render(),this.root.compute_layout()})}styles(){return[...super.styles(),c.default]}_update_layout(){this.layout=new a.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=n.div({class:_.bk_clearfix,style:e}),this.el.appendChild(this.markup_el)}}s.MarkupView=u,u.__name__=\"MarkupView\";class o extends r.Widget{constructor(e){super(e)}static init_Markup(){this.define({text:[l.String,\"\"],style:[l.Any,{}]})}}s.Markup=o,o.__name__=\"Markup\",o.init_Markup()},\n",
+       "      419: function _(e,c,f){Object.defineProperty(f,\"__esModule\",{value:!0}),f.bk_clearfix=\"bk-clearfix\"},\n",
+       "      420: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-clearfix:before,\\n.bk-root .bk-clearfix:after {\\n  content: \"\";\\n  display: table;\\n}\\n.bk-root .bk-clearfix:after {\\n  clear: both;\\n}\\n'},\n",
+       "      421: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(392),o=e(291),_=e(68),d=n.__importStar(e(18)),l=e(8),r=e(146),u=e(254),c=e(255),h=n.__importDefault(e(257));class p extends s.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=_.div({class:[c.bk_caret,r.bk_down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(u.bk_dropdown_toggle),t.addEventListener(\"click\",()=>this._toggle_menu()),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map((e,t)=>{if(null==e)return _.div({class:c.bk_divider});{const i=l.isString(e)?e:e[0],n=_.div({},i);return n.addEventListener(\"click\",()=>this._item_click(t)),n}});this.menu=_.div({class:[c.bk_menu,r.bk_below]},t),this.el.appendChild(this.menu),_.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,_.display(this.menu);const e=t=>{const{target:i}=t;i instanceof HTMLElement&&!this.el.contains(i)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,_.undisplay(this.menu))}_toggle_menu(){this._open?this._hide_menu():this._show_menu()}click(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new o.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=l.isString(t)?t:t[1];l.isString(i)?this.model.trigger_event(new o.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=p,p.__name__=\"DropdownView\";class m extends s.AbstractButton{constructor(e){super(e)}static init_Dropdown(){this.prototype.default_view=p,this.define({split:[d.Boolean,!1],menu:[d.Array,[]]}),this.override({label:\"Dropdown\"})}get is_split(){return this.split}}i.Dropdown=m,m.__name__=\"Dropdown\",m.init_Dropdown()},\n",
+       "      422: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1).__importStar(e(18)),s=e(458);class n extends s.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.width.change,()=>this.render())}render(){null==this.dialogEl&&(this.dialogEl=document.createElement(\"input\"),this.dialogEl.type=\"file\",this.dialogEl.multiple=this.model.multiple,this.dialogEl.onchange=()=>{const{files:e}=this.dialogEl;null!=e&&this.load_files(e)},this.el.appendChild(this.dialogEl)),null!=this.model.accept&&\"\"!=this.model.accept&&(this.dialogEl.accept=this.model.accept),this.dialogEl.style.width=\"{this.model.width}px\",this.dialogEl.disabled=this.model.disabled}async load_files(e){const t=[],i=[],l=[];let s;for(s=0;s<e.length;s++){i.push(e[s].name);const n=await this.readfile(e[s]),[,o,,a]=n.split(/[:;,]/,4);t.push(a),l.push(o)}this.model.multiple?(this.model.filename=i,this.model.mime_type=l,this.model.value=t):(this.model.filename=i[0],this.model.mime_type=l[0],this.model.value=t[0])}readfile(e){return new Promise((t,i)=>{const l=new FileReader;l.onload=()=>{var s;const{result:n}=l;null!=n?t(n):i(null!==(s=l.error)&&void 0!==s?s:new Error(`unable to read '${e.name}'`))},l.readAsDataURL(e)})}}i.FileInputView=n,n.__name__=\"FileInputView\";class o extends s.Widget{constructor(e){super(e)}static init_FileInput(){this.prototype.default_view=n,this.define({value:[l.Any,\"\"],mime_type:[l.Any,\"\"],filename:[l.Any,\"\"],accept:[l.String,\"\"],multiple:[l.Boolean,!1]})}}i.FileInput=o,o.__name__=\"FileInput\",o.init_FileInput()},\n",
+       "      423: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(68),l=e(8),o=i.__importStar(e(18)),c=e(398),r=e(400);class h extends c.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render()),this.connect(this.model.properties.size.change,()=>this.render()),this.connect(this.model.properties.disabled.change,()=>this.render())}render(){super.render();const e=this.model.options.map(e=>{let t,s;return l.isString(e)?t=s=e:[t,s]=e,n.option({value:t},s)});this.select_el=n.select({multiple:!0,class:r.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.select_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.select_el),this.render_selection()}render_selection(){const e=new Set(this.model.value);for(const t of this.el.querySelectorAll(\"option\"))t.selected=e.has(t.value);this.select_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}s.MultiSelectView=h,h.__name__=\"MultiSelectView\";class d extends c.InputWidget{constructor(e){super(e)}static init_MultiSelect(){this.prototype.default_view=h,this.define({value:[o.Array,[]],options:[o.Array,[]],size:[o.Number,4]})}}s.MultiSelect=d,d.__name__=\"MultiSelect\",d.init_MultiSelect()},\n",
+       "      424: function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=a(418),p=a(68);class s extends t.MarkupView{render(){super.render();const a=p.p({style:{margin:0}},this.model.text);this.markup_el.appendChild(a)}}r.ParagraphView=s,s.__name__=\"ParagraphView\";class i extends t.Markup{constructor(a){super(a)}static init_Paragraph(){this.prototype.default_view=s}}r.Paragraph=i,i.__name__=\"Paragraph\",i.init_Paragraph()},\n",
+       "      425: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(397);class r extends n.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}s.PasswordInputView=r,r.__name__=\"PasswordInputView\";class p extends n.TextInput{constructor(e){super(e)}static init_PasswordInput(){this.prototype.default_view=r}}s.PasswordInput=p,p.__name__=\"PasswordInput\",p.init_PasswordInput()},\n",
+       "      426: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=s.__importDefault(e(427)),o=e(68),n=e(8),h=s.__importStar(e(18)),r=e(400),c=s.__importDefault(e(428)),d=e(398);class a extends d.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.disabled.change,()=>this.set_disabled()),this.connect(this.model.properties.max_items.change,()=>this.render()),this.connect(this.model.properties.option_limit.change,()=>this.render()),this.connect(this.model.properties.delete_button.change,()=>this.render()),this.connect(this.model.properties.placeholder.change,()=>this.render()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render())}styles(){return[...super.styles(),c.default]}render(){super.render();const e=this.model.options.map(e=>{let t,i;return n.isString(e)?t=i=e:[t,i]=e,o.option({value:t},i)});this.select_el=o.select({multiple:!0,class:r.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.group_el.appendChild(this.select_el),this.render_selection();let t=\"choices__item\",i=\"choices__button\";this.model.solid?(t+=\" solid\",i+=\" solid\"):(t+=\" light\",i+=\" light\");const s={removeItemButton:this.model.delete_button,classNames:{item:t,button:i}};null!==this.model.placeholder&&(s.placeholderValue=this.model.placeholder),null!==this.model.max_items&&(s.maxItemCount=this.model.max_items),null!==this.model.option_limit&&(s.renderChoiceLimit=this.model.option_limit),this.choice_el=new l.default(this.select_el,s),this.select_el.addEventListener(\"change\",()=>this.change_input())}render_selection(){const e=new Set(this.model.value);for(const t of Array.from(this.el.querySelectorAll(\"option\")))t.selected=e.has(t.value)}set_disabled(){this.model.disabled?this.choice_el.disable():this.choice_el.enable()}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of Array.from(this.el.querySelectorAll(\"option\")))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}i.MultiChoiceView=a,a.__name__=\"MultiChoiceView\";class u extends d.InputWidget{constructor(e){super(e)}static init_MultiChoice(){this.prototype.default_view=a,this.define({value:[h.Array,[]],options:[h.Array,[]],max_items:[h.Number,null],delete_button:[h.Boolean,!0],placeholder:[h.String,null],option_limit:[h.Number,null],solid:[h.Boolean,!0]})}}i.MultiChoice=u,u.__name__=\"MultiChoice\",u.init_MultiChoice()},\n",
+       "      427: function _(e,t,i){\n",
+       "      /*! choices.js v9.0.1 | © 2019 Josh Johnson | https://github.com/jshjohnson/Choices#readme */\n",
+       "      var n,s;n=window,s=function(){return function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"/public/assets/scripts/\",i(i.s=4)}([function(e,t,i){\"use strict\";var n=function(e){return function(e){return!!e&&\"object\"==typeof e}(e)&&!function(e){var t=Object.prototype.toString.call(e);return\"[object RegExp]\"===t||\"[object Date]\"===t||function(e){return e.$$typeof===s}(e)}(e)},s=\"function\"==typeof Symbol&&Symbol.for?Symbol.for(\"react.element\"):60103;function r(e,t){return!1!==t.clone&&t.isMergeableObject(e)?l((i=e,Array.isArray(i)?[]:{}),e,t):e;var i}function o(e,t,i){return e.concat(t).map((function(e){return r(e,i)}))}function a(e){return Object.keys(e).concat(function(e){return Object.getOwnPropertySymbols?Object.getOwnPropertySymbols(e).filter((function(t){return e.propertyIsEnumerable(t)})):[]}(e))}function c(e,t,i){var n={};return i.isMergeableObject(e)&&a(e).forEach((function(t){n[t]=r(e[t],i)})),a(t).forEach((function(s){(function(e,t){try{return t in e&&!(Object.hasOwnProperty.call(e,t)&&Object.propertyIsEnumerable.call(e,t))}catch(e){return!1}})(e,s)||(i.isMergeableObject(t[s])&&e[s]?n[s]=function(e,t){if(!t.customMerge)return l;var i=t.customMerge(e);return\"function\"==typeof i?i:l}(s,i)(e[s],t[s],i):n[s]=r(t[s],i))})),n}function l(e,t,i){(i=i||{}).arrayMerge=i.arrayMerge||o,i.isMergeableObject=i.isMergeableObject||n,i.cloneUnlessOtherwiseSpecified=r;var s=Array.isArray(t);return s===Array.isArray(e)?s?i.arrayMerge(e,t,i):c(e,t,i):r(t,i)}l.all=function(e,t){if(!Array.isArray(e))throw new Error(\"first argument should be an array\");return e.reduce((function(e,i){return l(e,i,t)}),{})};var h=l;e.exports=h},function(e,t,i){\"use strict\";(function(e,n){var s,r=i(3);s=\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:void 0!==e?e:n;var o=Object(r.a)(s);t.a=o}).call(this,i(5),i(6)(e))},function(e,t,i){\n",
+       "      /*!\n",
+       "                       * Fuse.js v3.4.5 - Lightweight fuzzy-search (http://fusejs.io)\n",
+       "                       *\n",
+       "                       * Copyright (c) 2012-2017 Kirollos Risk (http://kiro.me)\n",
+       "                       * All Rights Reserved. Apache Software License 2.0\n",
+       "                       *\n",
+       "                       * http://www.apache.org/licenses/LICENSE-2.0\n",
+       "                       */\n",
+       "      e.exports=function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return 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a.dataset.type=r,t&&(a.dir=t),n&&(a.tabIndex=0),i&&(a.setAttribute(\"role\",s?\"combobox\":\"listbox\"),s&&a.setAttribute(\"aria-autocomplete\",\"list\")),a.setAttribute(\"aria-haspopup\",\"true\"),a.setAttribute(\"aria-expanded\",\"false\"),a},containerInner:function(e){var t=e.containerInner;return Object.assign(document.createElement(\"div\"),{className:t})},itemList:function(e,t){var i=e.list,n=e.listSingle,s=e.listItems;return Object.assign(document.createElement(\"div\"),{className:i+\" \"+(t?n:s)})},placeholder:function(e,t){var i=e.placeholder;return Object.assign(document.createElement(\"div\"),{className:i,innerHTML:t})},item:function(e,t,i){var n=e.item,s=e.button,r=e.highlightedState,o=e.itemSelectable,a=e.placeholder,c=t.id,l=t.value,h=t.label,u=t.customProperties,d=t.active,p=t.disabled,m=t.highlighted,f=t.placeholder,v=Object.assign(document.createElement(\"div\"),{className:n,innerHTML:h});if(Object.assign(v.dataset,{item:\"\",id:c,value:l,customProperties:u}),d&&v.setAttribute(\"aria-selected\",\"true\"),p&&v.setAttribute(\"aria-disabled\",\"true\"),f&&v.classList.add(a),v.classList.add(m?r:o),i){p&&v.classList.remove(o),v.dataset.deletable=\"\";var g=Object.assign(document.createElement(\"button\"),{type:\"button\",className:s,innerHTML:\"Remove item\"});g.setAttribute(\"aria-label\",\"Remove item: '\"+l+\"'\"),g.dataset.button=\"\",v.appendChild(g)}return v},choiceList:function(e,t){var i=e.list,n=Object.assign(document.createElement(\"div\"),{className:i});return t||n.setAttribute(\"aria-multiselectable\",\"true\"),n.setAttribute(\"role\",\"listbox\"),n},choiceGroup:function(e,t){var i=e.group,n=e.groupHeading,s=e.itemDisabled,r=t.id,o=t.value,a=t.disabled,c=Object.assign(document.createElement(\"div\"),{className:i+\" \"+(a?s:\"\")});return c.setAttribute(\"role\",\"group\"),Object.assign(c.dataset,{group:\"\",id:r,value:o}),a&&c.setAttribute(\"aria-disabled\",\"true\"),c.appendChild(Object.assign(document.createElement(\"div\"),{className:n,innerHTML:o})),c},choice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.itemSelectable,o=e.selectedState,a=e.itemDisabled,c=e.placeholder,l=t.id,h=t.value,u=t.label,d=t.groupId,p=t.elementId,m=t.disabled,f=t.selected,v=t.placeholder,g=Object.assign(document.createElement(\"div\"),{id:p,innerHTML:u,className:n+\" \"+s});return f&&g.classList.add(o),v&&g.classList.add(c),g.setAttribute(\"role\",d>0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},ve=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ge=function(e,t){return{type:$,id:e,highlighted:t}},_e=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},be=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function ye(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var Ee=\"-ms-scroll-limit\"in document.documentElement.style&&\"-ms-ime-align\"in document.documentElement.style,Ie={},Se=function(){var e,t,i;function n(e,t){var i=this;void 0===e&&(e=\"[data-choice]\"),void 0===t&&(t={}),this.config=o.a.all([P,n.defaults.options,t],{arrayMerge:function(e,t){return[].concat(t)}});var s,r,a,c,l=(s=this.config,r=P,a=Object.keys(s).sort(),c=Object.keys(r).sort(),a.filter((function(e){return c.indexOf(e)<0})));l.length&&console.warn(\"Unknown config option(s) passed\",l.join(\", \"));var h=\"string\"==typeof e?document.querySelector(e):e;if(!(h instanceof HTMLInputElement||h instanceof HTMLSelectElement))throw TypeError(\"Expected one of the following types text|select-one|select-multiple\");if(this._isTextElement=\"text\"===h.type,this._isSelectOneElement=\"select-one\"===h.type,this._isSelectMultipleElement=\"select-multiple\"===h.type,this._isSelectElement=this._isSelectOneElement||this._isSelectMultipleElement,this.config.searchEnabled=this._isSelectMultipleElement||this.config.searchEnabled,[\"auto\",\"always\"].includes(this.config.renderSelectedChoices)||(this.config.renderSelectedChoices=\"auto\"),t.addItemFilter&&\"function\"!=typeof t.addItemFilter){var u=t.addItemFilter instanceof RegExp?t.addItemFilter:new RegExp(t.addItemFilter);this.config.addItemFilter=u.test.bind(u)}if(this._isTextElement?this.passedElement=new de({element:h,classNames:this.config.classNames,delimiter:this.config.delimiter}):this.passedElement=new me({element:h,classNames:this.config.classNames,template:function(e){return i._templates.option(e)}}),this.initialised=!1,this._store=new T,this._initialState={},this._currentState={},this._prevState={},this._currentValue=\"\",this._canSearch=this.config.searchEnabled,this._isScrollingOnIe=!1,this._highlightPosition=0,this._wasTap=!0,this._placeholderValue=this._generatePlaceholderValue(),this._baseId=function(e,t){var i=e.id||e.name&&e.name+\"-\"+b(2)||b(4);return i=t+\"-\"+(i=i.replace(/(:|\\.|\\[|\\]|,)/g,\"\"))}(this.passedElement.element,\"choices-\"),this._direction=this.passedElement.dir,!this._direction){var d=window.getComputedStyle(this.passedElement.element).direction;d!==window.getComputedStyle(document.documentElement).direction&&(this._direction=d)}if(this._idNames={itemChoice:\"item-choice\"},this._presetGroups=this.passedElement.optionGroups,this._presetOptions=this.passedElement.options,this._presetChoices=this.config.choices,this._presetItems=this.config.items,this.passedElement.value&&(this._presetItems=this._presetItems.concat(this.passedElement.value.split(this.config.delimiter))),this.passedElement.options&&this.passedElement.options.forEach((function(e){i._presetChoices.push({value:e.value,label:e.innerHTML,selected:e.selected,disabled:e.disabled||e.parentNode.disabled,placeholder:\"\"===e.value||e.hasAttribute(\"placeholder\"),customProperties:e.getAttribute(\"data-custom-properties\")})})),this._render=this._render.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this),this._onKeyUp=this._onKeyUp.bind(this),this._onKeyDown=this._onKeyDown.bind(this),this._onClick=this._onClick.bind(this),this._onTouchMove=this._onTouchMove.bind(this),this._onTouchEnd=this._onTouchEnd.bind(this),this._onMouseDown=this._onMouseDown.bind(this),this._onMouseOver=this._onMouseOver.bind(this),this._onFormReset=this._onFormReset.bind(this),this._onAKey=this._onAKey.bind(this),this._onEnterKey=this._onEnterKey.bind(this),this._onEscapeKey=this._onEscapeKey.bind(this),this._onDirectionKey=this._onDirectionKey.bind(this),this._onDeleteKey=this._onDeleteKey.bind(this),this.passedElement.isActive)return this.config.silent||console.warn(\"Trying to initialise Choices on element already initialised\"),void(this.initialised=!0);this.init()}e=n,i=[{key:\"defaults\",get:function(){return Object.preventExtensions({get options(){return Ie},get templates(){return fe}})}}],(t=null)&&ye(e.prototype,t),i&&ye(e,i);var r=n.prototype;return r.init=function(){if(!this.initialised){this._createTemplates(),this._createElements(),this._createStructure(),this._initialState=O(this._store.state),this._store.subscribe(this._render),this._render(),this._addEventListeners(),(!this.config.addItems||this.passedElement.element.hasAttribute(\"disabled\"))&&this.disable(),this.initialised=!0;var e=this.config.callbackOnInit;e&&\"function\"==typeof e&&e.call(this)}},r.destroy=function(){this.initialised&&(this._removeEventListeners(),this.passedElement.reveal(),this.containerOuter.unwrap(this.passedElement.element),this.clearStore(),this._isSelectElement&&(this.passedElement.options=this._presetOptions),this._templates=null,this.initialised=!1)},r.enable=function(){return this.passedElement.isDisabled&&this.passedElement.enable(),this.containerOuter.isDisabled&&(this._addEventListeners(),this.input.enable(),this.containerOuter.enable()),this},r.disable=function(){return this.passedElement.isDisabled||this.passedElement.disable(),this.containerOuter.isDisabled||(this._removeEventListeners(),this.input.disable(),this.containerOuter.disable()),this},r.highlightItem=function(e,t){if(void 0===t&&(t=!0),!e)return this;var i=e.id,n=e.groupId,s=void 0===n?-1:n,r=e.value,o=void 0===r?\"\":r,a=e.label,c=void 0===a?\"\":a,l=s>=0?this._store.getGroupById(s):null;return this._store.dispatch(ge(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ge(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(ve(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v<m;v+=1)f[v]&&l(f[v]);return t},r._createItemsFragment=function(e,t){var i=this;void 0===t&&(t=document.createDocumentFragment());var n=this.config,s=n.shouldSortItems,r=n.sorter,o=n.removeItemButton;return s&&!this._isSelectOneElement&&e.sort(r),this._isTextElement?this.passedElement.value=e:this.passedElement.options=e,e.forEach((function(e){var n=i._getTemplate(\"item\",e,o);t.appendChild(n)})),t},r._triggerChange=function(e){null!=e&&this.passedElement.triggerEvent(N,{value:e})},r._selectPlaceholderChoice=function(){var e=this._store.placeholderChoice;e&&(this._addItem({value:e.value,label:e.label,choiceId:e.id,groupId:e.groupId,placeholder:e.placeholder}),this._triggerChange(e.value))},r._handleButtonAction=function(e,t){if(e&&t&&this.config.removeItems&&this.config.removeItemButton){var i=t.parentNode.getAttribute(\"data-id\"),n=e.find((function(e){return e.id===parseInt(i,10)}));this._removeItem(n),this._triggerChange(n.value),this._isSelectOneElement&&this._selectPlaceholderChoice()}},r._handleItemAction=function(e,t,i){var n=this;if(void 0===i&&(i=!1),e&&t&&this.config.removeItems&&!this._isSelectOneElement){var s=t.getAttribute(\"data-id\");e.forEach((function(e){e.id!==parseInt(s,10)||e.highlighted?!i&&e.highlighted&&n.unhighlightItem(e):n.highlightItem(e)})),this.input.focus()}},r._handleChoiceAction=function(e,t){if(e&&t){var i=t.dataset.id,n=this._store.getChoiceById(i);if(n){var s=e[0]&&e[0].keyCode?e[0].keyCode:null,r=this.dropdown.isActive;n.keyCode=s,this.passedElement.triggerEvent(F,{choice:n}),n.selected||n.disabled||this._canAddItem(e,n.value).response&&(this._addItem({value:n.value,label:n.label,choiceId:n.id,groupId:n.groupId,customProperties:n.customProperties,placeholder:n.placeholder,keyCode:n.keyCode}),this._triggerChange(n.value)),this.clearInput(),r&&this._isSelectOneElement&&(this.hideDropdown(!0),this.containerOuter.focus())}}},r._handleBackspace=function(e){if(this.config.removeItems&&e){var t=e[e.length-1],i=e.some((function(e){return e.highlighted}));this.config.editItems&&!i&&t?(this.input.value=t.value,this.input.setWidth(),this._removeItem(t),this._triggerChange(t.value)):(i||this.highlightItem(t,!1),this.removeHighlightedItems(!0))}},r._startLoading=function(){this._store.dispatch(be(!0))},r._stopLoading=function(){this._store.dispatch(be(!1))},r._handleLoadingState=function(e){void 0===e&&(e=!0);var t=this.itemList.getChild(\".\"+this.config.classNames.placeholder);e?(this.disable(),this.containerOuter.addLoadingState(),this._isSelectOneElement?t?t.innerHTML=this.config.loadingText:(t=this._getTemplate(\"placeholder\",this.config.loadingText),this.itemList.append(t)):this.input.placeholder=this.config.loadingText):(this.enable(),this.containerOuter.removeLoadingState(),this._isSelectOneElement?t.innerHTML=this._placeholderValue||\"\":this.input.placeholder=this._placeholderValue||\"\")},r._handleSearch=function(e){if(e&&this.input.isFocussed){var t=this._store.choices,i=this.config,n=i.searchFloor,s=i.searchChoices,r=t.some((function(e){return!e.active}));if(e&&e.length>=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(ve(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(ve(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1;if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(\"[data-choice-selectable]\");else{var p=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=p?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(p,\"[data-choice-selectable]\",d):this.dropdown.element.querySelector(\"[data-choice-selectable]\")}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(Ee&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX<i.offsetLeft;this._isScrollingOnIe=n}if(t!==this.input.element){var s=t.closest(\"[data-button],[data-item],[data-choice]\");if(s instanceof HTMLElement){var r=e.shiftKey,o=this._store.activeItems,a=s.dataset;\"button\"in a?this._handleButtonAction(o,s):\"item\"in a?this._handleItemAction(o,s,r):\"choice\"in a&&this._handleChoiceAction(o,s)}e.preventDefault()}}},r._onMouseOver=function(e){var t=e.target;t instanceof HTMLElement&&\"choice\"in t.dataset&&this._highlightChoice(t)},r._onClick=function(e){var t=e.target;this.containerOuter.element.contains(t)?this.dropdown.isActive||this.containerOuter.isDisabled?this._isSelectOneElement&&t!==this.input.element&&!this.dropdown.element.contains(t)&&this.hideDropdown():this._isTextElement?document.activeElement!==this.input.element&&this.input.focus():(this.showDropdown(),this.containerOuter.focus()):(this._store.highlightedActiveItems.length>0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(_e({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(_e({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r<n;r++)s[r-1]=arguments[r];return(t=this._templates[e]).call.apply(t,[this,i].concat(s))},r._createTemplates=function(){var e=this.config.callbackOnCreateTemplates,t={};e&&\"function\"==typeof e&&(t=e.call(this,S)),this._templates=o()(fe,t)},r._createElements=function(){this.containerOuter=new re({element:this._getTemplate(\"containerOuter\",this._direction,this._isSelectElement,this._isSelectOneElement,this.config.searchEnabled,this.passedElement.element.type),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.containerInner=new re({element:this._getTemplate(\"containerInner\"),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.input=new ae({element:this._getTemplate(\"input\",this._placeholderValue),classNames:this.config.classNames,type:this.passedElement.element.type,preventPaste:!this.config.paste}),this.choiceList=new ce({element:this._getTemplate(\"choiceList\",this._isSelectOneElement)}),this.itemList=new ce({element:this._getTemplate(\"itemList\",this._isSelectOneElement)}),this.dropdown=new k({element:this._getTemplate(\"dropdown\"),classNames:this.config.classNames,type:this.passedElement.element.type})},r._createStructure=function(){this.passedElement.conceal(),this.containerInner.wrap(this.passedElement.element),this.containerOuter.wrap(this.containerInner.element),this._isSelectOneElement?this.input.placeholder=this.config.searchPlaceholderValue||\"\":this._placeholderValue&&(this.input.placeholder=this._placeholderValue,this.input.setWidth()),this.containerOuter.element.appendChild(this.containerInner.element),this.containerOuter.element.appendChild(this.dropdown.element),this.containerInner.element.appendChild(this.itemList.element),this._isTextElement||this.dropdown.element.appendChild(this.choiceList.element),this._isSelectOneElement?this.config.searchEnabled&&this.dropdown.element.insertBefore(this.input.element,this.dropdown.element.firstChild):this.containerInner.element.appendChild(this.input.element),this._isSelectElement&&(this._highlightPosition=0,this._isSearching=!1,this._startLoading(),this._presetGroups.length?this._addPredefinedGroups(this._presetGroups):this._addPredefinedChoices(this._presetChoices),this._stopLoading()),this._isTextElement&&this._addPredefinedItems(this._presetItems)},r._addPredefinedGroups=function(e){var t=this,i=this.passedElement.placeholderOption;i&&\"SELECT\"===i.parentNode.tagName&&this._addChoice({value:i.value,label:i.innerHTML,isSelected:i.selected,isDisabled:i.disabled,placeholder:!0}),e.forEach((function(e){return t._addGroup({group:e,id:e.id||null})}))},r._addPredefinedChoices=function(e){var t=this;this.config.shouldSort&&e.sort(this.config.sorter);var i=e.some((function(e){return e.selected})),n=e.findIndex((function(e){return void 0===e.disabled||!e.disabled}));e.forEach((function(e,s){var r=e.value,o=e.label,a=e.customProperties,c=e.placeholder;if(t._isSelectElement)if(e.choices)t._addGroup({group:e,id:e.id||null});else{var l=!(!t._isSelectOneElement||i||s!==n)||e.selected,h=e.disabled;t._addChoice({value:r,label:o,isSelected:l,isDisabled:h,customProperties:a,placeholder:c})}else t._addChoice({value:r,label:o,isSelected:e.selected,isDisabled:e.disabled,customProperties:a,placeholder:c})}))},r._addPredefinedItems=function(e){var t=this;e.forEach((function(e){\"object\"==typeof e&&e.value&&t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}),\"string\"==typeof e&&t._addItem({value:e})}))},r._setChoiceOrItem=function(e){var t=this;({object:function(){e.value&&(t._isTextElement?t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}):t._addChoice({value:e.value,label:e.label,isSelected:!0,isDisabled:!1,customProperties:e.customProperties,placeholder:e.placeholder}))},string:function(){t._isTextElement?t._addItem({value:e}):t._addChoice({value:e,label:e,isSelected:!0,isDisabled:!1})}})[y(e).toLowerCase()]()},r._findAndSelectChoiceByValue=function(e){var t=this,i=this._store.choices.find((function(i){return t.config.valueComparer(i.value,e)}));i&&!i.selected&&this._addItem({value:i.value,label:i.label,choiceId:i.id,groupId:i.groupId,customProperties:i.customProperties,placeholder:i.placeholder,keyCode:i.keyCode})},r._generatePlaceholderValue=function(){if(this._isSelectElement){var e=this.passedElement.placeholderOption;return!!e&&e.text}var t=this.config,i=t.placeholder,n=t.placeholderValue,s=this.passedElement.element.dataset;if(i){if(n)return n;if(s.placeholder)return s.placeholder}return!1},n}();t.default=Se}]).default},\"object\"==typeof i&&\"object\"==typeof t?t.exports=s():\"function\"==typeof define&&define.amd?define([],s):\"object\"==typeof i?i.Choices=s():n.Choices=s()},\n",
+       "      428: function _(n,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});e.default=\"\\n.bk-root {\\n  /*===============================\\n=            Choices            =\\n===============================*/\\n  /*=====  End of Choices  ======*/\\n}\\n.bk-root .choices {\\n  position: relative;\\n  margin-bottom: 24px;\\n  font-size: 16px;\\n}\\n.bk-root .choices:focus {\\n  outline: none;\\n}\\n.bk-root .choices:last-child {\\n  margin-bottom: 0;\\n}\\n.bk-root .choices.is-disabled .choices__inner,\\n.bk-root .choices.is-disabled .choices__input {\\n  background-color: #eaeaea;\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n}\\n.bk-root .choices.is-disabled .choices__item {\\n  cursor: not-allowed;\\n}\\n.bk-root .choices [hidden] {\\n  display: none !important;\\n}\\n.bk-root .choices[data-type*='select-one'] {\\n  cursor: pointer;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__inner {\\n  padding-bottom: 7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__input {\\n  display: block;\\n  width: 100%;\\n  padding: 10px;\\n  border-bottom: 1px solid #dddddd;\\n  background-color: #ffffff;\\n  margin: 0;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDAwIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  padding: 0;\\n  background-size: 8px;\\n  position: absolute;\\n  top: 50%;\\n  right: 0;\\n  margin-top: -10px;\\n  margin-right: 25px;\\n  height: 20px;\\n  width: 20px;\\n  border-radius: 10em;\\n  opacity: 0.5;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  box-shadow: 0px 0px 0px 2px #00bcd4;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__item[data-value=''] .choices__button {\\n  display: none;\\n}\\n.bk-root .choices[data-type*='select-one']:after {\\n  content: '';\\n  height: 0;\\n  width: 0;\\n  border-style: solid;\\n  border-color: #333333 transparent transparent transparent;\\n  border-width: 5px;\\n  position: absolute;\\n  right: 11.5px;\\n  top: 50%;\\n  margin-top: -2.5px;\\n  pointer-events: none;\\n}\\n.bk-root .choices[data-type*='select-one'].is-open:after {\\n  border-color: transparent transparent #333333 transparent;\\n  margin-top: -7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl']:after {\\n  left: 11.5px;\\n  right: auto;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl'] .choices__button {\\n  right: auto;\\n  left: 0;\\n  margin-left: 25px;\\n  margin-right: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__inner,\\n.bk-root .choices[data-type*='text'] .choices__inner {\\n  cursor: text;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button,\\n.bk-root .choices[data-type*='text'] .choices__button {\\n  position: relative;\\n  display: inline-block;\\n  margin-top: 0;\\n  margin-right: -4px;\\n  margin-bottom: 0;\\n  margin-left: 8px;\\n  padding-left: 16px;\\n  border-left: 1px solid #008fa1;\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjRkZGIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  background-size: 8px;\\n  width: 8px;\\n  line-height: 1;\\n  opacity: 0.75;\\n  border-radius: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:focus,\\n.bk-root .choices[data-type*='text'] .choices__button:hover,\\n.bk-root .choices[data-type*='text'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices__inner {\\n  display: inline-block;\\n  vertical-align: top;\\n  width: 100%;\\n  background-color: #f9f9f9;\\n  padding: 7.5px 7.5px 3.75px;\\n  border: 1px solid #dddddd;\\n  border-radius: 2.5px;\\n  font-size: 14px;\\n  min-height: 44px;\\n  overflow: hidden;\\n}\\n.bk-root .is-focused .choices__inner,\\n.bk-root .is-open .choices__inner {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-open .choices__inner {\\n  border-radius: 2.5px 2.5px 0 0;\\n}\\n.bk-root .is-flipped.is-open .choices__inner {\\n  border-radius: 0 0 2.5px 2.5px;\\n}\\n.bk-root .choices__list {\\n  margin: 0;\\n  padding-left: 0;\\n  list-style: none;\\n}\\n.bk-root .choices__list--single {\\n  display: inline-block;\\n  padding: 4px 16px 4px 4px;\\n  width: 100%;\\n}\\n.bk-root [dir='rtl'] .choices__list--single {\\n  padding-right: 4px;\\n  padding-left: 16px;\\n}\\n.bk-root .choices__list--single .choices__item {\\n  width: 100%;\\n}\\n.bk-root .choices__list--multiple {\\n  display: inline;\\n}\\n.bk-root .choices__list--multiple .choices__item {\\n  display: inline-block;\\n  vertical-align: middle;\\n  border-radius: 20px;\\n  padding: 4px 10px;\\n  font-size: 12px;\\n  font-weight: 500;\\n  margin-right: 3.75px;\\n  margin-bottom: 3.75px;\\n  background-color: #00bcd4;\\n  border: 1px solid #00a5bb;\\n  color: #ffffff;\\n  word-break: break-all;\\n  box-sizing: border-box;\\n}\\n.bk-root .choices__list--multiple .choices__item[data-deletable] {\\n  padding-right: 5px;\\n}\\n.bk-root [dir='rtl'] .choices__list--multiple .choices__item {\\n  margin-right: 0;\\n  margin-left: 3.75px;\\n}\\n.bk-root .choices__list--multiple .choices__item.is-highlighted {\\n  background-color: #00a5bb;\\n  border: 1px solid #008fa1;\\n}\\n.bk-root .is-disabled .choices__list--multiple .choices__item {\\n  background-color: #aaaaaa;\\n  border: 1px solid #919191;\\n}\\n.bk-root .choices__list--dropdown {\\n  visibility: hidden;\\n  z-index: 1;\\n  position: absolute;\\n  width: 100%;\\n  background-color: #ffffff;\\n  border: 1px solid #dddddd;\\n  top: 100%;\\n  margin-top: -1px;\\n  border-bottom-left-radius: 2.5px;\\n  border-bottom-right-radius: 2.5px;\\n  overflow: hidden;\\n  word-break: break-all;\\n  will-change: visibility;\\n}\\n.bk-root .choices__list--dropdown.is-active {\\n  visibility: visible;\\n}\\n.bk-root .is-open .choices__list--dropdown {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-flipped .choices__list--dropdown {\\n  top: auto;\\n  bottom: 100%;\\n  margin-top: 0;\\n  margin-bottom: -1px;\\n  border-radius: 0.25rem 0.25rem 0 0;\\n}\\n.bk-root .choices__list--dropdown .choices__list {\\n  position: relative;\\n  max-height: 300px;\\n  overflow: auto;\\n  -webkit-overflow-scrolling: touch;\\n  will-change: scroll-position;\\n}\\n.bk-root .choices__list--dropdown .choices__item {\\n  position: relative;\\n  padding: 10px;\\n  font-size: 14px;\\n}\\n.bk-root [dir='rtl'] .choices__list--dropdown .choices__item {\\n  text-align: right;\\n}\\n@media (min-width: 640px) {\\n  .bk-root .choices__list--dropdown .choices__item--selectable {\\n    padding-right: 100px;\\n  }\\n  .bk-root .choices__list--dropdown .choices__item--selectable:after {\\n    content: attr(data-select-text);\\n    font-size: 12px;\\n    opacity: 0;\\n    position: absolute;\\n    right: 10px;\\n    top: 50%;\\n    transform: translateY(-50%);\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable {\\n    text-align: right;\\n    padding-left: 100px;\\n    padding-right: 10px;\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable:after {\\n    right: auto;\\n    left: 10px;\\n  }\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted:after {\\n  opacity: 0.5;\\n}\\n.bk-root .choices__item {\\n  cursor: default;\\n}\\n.bk-root .choices__item--selectable {\\n  cursor: pointer;\\n}\\n.bk-root .choices__item--disabled {\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  opacity: 0.5;\\n}\\n.bk-root .choices__heading {\\n  font-weight: 600;\\n  font-size: 12px;\\n  padding: 10px;\\n  border-bottom: 1px solid #f7f7f7;\\n  color: gray;\\n}\\n.bk-root .choices__button {\\n  text-indent: -9999px;\\n  -webkit-appearance: none;\\n  -moz-appearance: none;\\n  appearance: none;\\n  border: 0;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center;\\n  cursor: pointer;\\n}\\n.bk-root .choices__button:focus {\\n  outline: none;\\n}\\n.bk-root .choices__input {\\n  display: inline-block;\\n  vertical-align: baseline;\\n  background-color: #f9f9f9;\\n  font-size: 14px;\\n  margin-bottom: 5px;\\n  border: 0;\\n  border-radius: 0;\\n  max-width: 100%;\\n  padding: 4px 0 4px 2px;\\n}\\n.bk-root .choices__input:focus {\\n  outline: 0;\\n}\\n.bk-root [dir='rtl'] .choices__input {\\n  padding-right: 2px;\\n  padding-left: 0;\\n}\\n.bk-root .choices__placeholder {\\n  opacity: 0.5;\\n}\\n.bk-root .choices {\\n  width: 100%;\\n}\\n.bk-root .choices__inner .choices__item.light {\\n  background-color: rgba(0, 126, 255, 0.08);\\n  border-radius: 5px;\\n  border: 1px solid rgba(0, 126, 255, 0.24);\\n  color: #007eff;\\n}\\n.bk-root .choices__inner .choices__item.solid {\\n  background-color: #1f77b4;\\n  border: none;\\n  border-radius: 5px;\\n  color: white;\\n}\\n.bk-root .choices__inner .choices__item.solid .is-highlighted {\\n  background-color: #1f77b4;\\n  border: none;\\n}\\n.bk-root .choices__input {\\n  background-color: transparent;\\n}\\n.bk-root .choices__inner {\\n  background: transparent;\\n  border: 1px solid darkgray;\\n  border-radius: 5px;\\n  min-height: unset;\\n}\\n.bk-root .choices__list {\\n  white-space: initial;\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.light {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDA3ZWZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.solid {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjZmZmZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  border-left: 1px solid white;\\n  opacity: 1;\\n}\\n\"},\n",
+       "      429: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=e(418),i=e(68);class n extends s.MarkupView{render(){super.render();const e=i.pre({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=n,n.__name__=\"PreTextView\";class _ extends s.Markup{constructor(e){super(e)}static init_PreText(){this.prototype.default_view=n}}r.PreText=_,_.__name__=\"PreText\",_.init_PreText()},\n",
+       "      430: function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(403),n=t(68),u=i.__importStar(t(18)),s=t(146);class _ extends a.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach((o,e)=>{n.classes(o).toggle(s.bk_active,t===e)})}}e.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class c extends a.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define({active:[u.Any,null]})}}e.RadioButtonGroup=c,c.__name__=\"RadioButtonGroup\",c.init_RadioButtonGroup()},\n",
+       "      431: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),a=e(68),s=e(24),o=n.__importStar(e(18)),d=e(405),l=e(146),p=e(400);class r extends d.InputGroupView{render(){super.render();const e=a.div({class:[p.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const i=s.uniqueId(),{active:t,labels:n}=this.model;this._inputs=[];for(let s=0;s<n.length;s++){const o=a.input({type:\"radio\",name:i,value:\"\"+s});o.addEventListener(\"change\",()=>this.change_active(s)),this._inputs.push(o),this.model.disabled&&(o.disabled=!0),s==t&&(o.checked=!0);const d=a.label({},o,a.span({},n[s]));e.appendChild(d)}}change_active(e){this.model.active=e}}t.RadioGroupView=r,r.__name__=\"RadioGroupView\";class u extends d.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=r,this.define({active:[o.Number],labels:[o.Array,[]],inline:[o.Boolean,!1]})}}t.RadioGroup=u,u.__name__=\"RadioGroup\",u.init_RadioGroup()},\n",
+       "      432: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),a=e(411),n=e(8);class o extends a.AbstractRangeSliderView{}r.RangeSliderView=o,o.__name__=\"RangeSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(e,t){return n.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.RangeSlider=s,s.__name__=\"RangeSlider\",s.init_RangeSlider()},\n",
+       "      433: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(68),l=e(8),o=e(17),p=n.__importStar(e(18)),u=e(398),a=e(400);class _ extends u.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,()=>{this._update_value()}),this.on_change(t,()=>{s.empty(this.input_el),s.append(this.input_el,...this.options_el())})}options_el(){function e(e){return e.map(e=>{let t,i;return l.isString(e)?t=i=e:[t,i]=e,s.option({value:t},i)})}const{options:t}=this.model;return l.isArray(t)?e(t):o.entries(t).map(([t,i])=>s.optgroup({label:t},e(i)))}render(){super.render(),this.input_el=s.select({class:a.bk_input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;null!=e&&0!=e.length&&(this.input_el.value=this.model.value)}}i.SelectView=_,_.__name__=\"SelectView\";class h extends u.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=_,this.define({value:[p.String,\"\"],options:[p.Any,[]]})}}i.Select=h,h.__name__=\"Select\",h.init_Select()},\n",
+       "      434: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),o=e(411),s=e(8);class _ extends o.AbstractSliderView{}r.SliderView=_,_.__name__=\"SliderView\";class a extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=_,this.override({format:\"0[.]00\"})}_formatter(e,t){return s.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.Slider=a,a.__name__=\"Slider\",a.init_Slider()},\n",
+       "      435: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),h=n.__importStar(e(18)),o=e(400),{floor:p,max:d,min:u}=Math;function r(e){return p(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.low.change,()=>{const{low:e}=this.model;null!=e&&(this.input_el.min=e.toFixed(16))}),this.connect(this.model.properties.high.change,()=>{const{high:e}=this.model;null!=e&&(this.input_el.max=e.toFixed(16))}),this.connect(this.model.properties.step.change,()=>{const{step:e}=this.model;this.input_el.step=e.toFixed(16)}),this.connect(this.model.properties.value.change,()=>{const{value:e,step:t}=this.model;this.input_el.value=e.toFixed(r(t)).replace(/(\\.[0-9]*[1-9])0+$|\\.0*$/,\"$1\")}),this.connect(this.model.properties.disabled.change,()=>{this.input_el.disabled=this.model.disabled})}render(){super.render(),this.input_el=l.input({type:\"number\",class:o.bk_input,name:this.model.name,min:this.model.low,max:this.model.high,value:this.model.value,step:this.model.step,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){if(this.input_el.value){const{step:e}=this.model;let t=Number(this.input_el.value);null!=this.model.low&&(t=d(t,this.model.low)),null!=this.model.high&&(t=u(t,this.model.high)),this.model.value=Number(t.toFixed(r(e))),super.change_input()}}}i.SpinnerView=a,a.__name__=\"SpinnerView\";class c extends s.InputWidget{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=a,this.define({value:[h.Number,0],low:[h.Number,null],high:[h.Number,null],step:[h.Number,1]})}}i.Spinner=c,c.__name__=\"Spinner\",c.init_Spinner()},\n",
+       "      436: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(398),l=e(68),h=s.__importStar(e(18)),o=e(400);class a extends n.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder),this.connect(this.model.properties.rows.change,()=>this.input_el.rows=this.model.rows),this.connect(this.model.properties.cols.change,()=>this.input_el.cols=this.model.cols),this.connect(this.model.properties.max_length.change,()=>this.input_el.maxLength=this.model.max_length)}render(){super.render(),this.input_el=l.textarea({class:o.bk_input,name:this.model.name,disabled:this.model.disabled,placeholder:this.model.placeholder,cols:this.model.cols,rows:this.model.rows,maxLength:this.model.max_length}),this.input_el.textContent=this.model.value,this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}}i.TextAreaInputView=a,a.__name__=\"TextAreaInputView\";class p extends n.InputWidget{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=a,this.define({value:[h.String,\"\"],value_input:[h.String,\"\"],placeholder:[h.String,\"\"],cols:[h.Number,20],rows:[h.Number,2],max_length:[h.Number,500]})}}i.TextAreaInput=p,p.__name__=\"TextAreaInput\",p.init_TextAreaInput()},\n",
+       "      437: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),c=e(392),o=e(68),a=s.__importStar(e(18)),n=e(146);class l extends c.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._update_active())}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){o.classes(this.button_el).toggle(n.bk_active,this.model.active)}}i.ToggleView=l,l.__name__=\"ToggleView\";class _ extends c.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=l,this.define({active:[a.Boolean,!1]}),this.override({label:\"Toggle\"})}}i.Toggle=_,_.__name__=\"Toggle\",_.init_Toggle()},\n",
+       "      }, 390, {\"models/widgets/main\":390,\"models/widgets/index\":391,\"models/widgets/abstract_button\":392,\"models/widgets/control\":393,\"models/widgets/widget\":458,\"models/widgets/abstract_icon\":395,\"models/widgets/autocomplete_input\":396,\"models/widgets/text_input\":397,\"models/widgets/input_widget\":398,\"styles/widgets/inputs.css\":399,\"styles/widgets/inputs\":400,\"models/widgets/button\":401,\"models/widgets/checkbox_button_group\":402,\"models/widgets/button_group\":403,\"models/widgets/checkbox_group\":404,\"models/widgets/input_group\":405,\"models/widgets/color_picker\":406,\"models/widgets/date_picker\":407,\"styles/widgets/flatpickr.css\":409,\"models/widgets/date_range_slider\":410,\"models/widgets/abstract_slider\":411,\"styles/widgets/sliders\":413,\"styles/widgets/nouislider.css\":414,\"styles/widgets/sliders.css\":415,\"models/widgets/date_slider\":416,\"models/widgets/div\":417,\"models/widgets/markup\":418,\"styles/clearfix\":419,\"styles/clearfix.css\":420,\"models/widgets/dropdown\":421,\"models/widgets/file_input\":422,\"models/widgets/multiselect\":423,\"models/widgets/paragraph\":424,\"models/widgets/password_input\":425,\"models/widgets/multichoice\":426,\"styles/widgets/choices.css\":428,\"models/widgets/pretext\":429,\"models/widgets/radio_button_group\":430,\"models/widgets/radio_group\":431,\"models/widgets/range_slider\":432,\"models/widgets/selectbox\":433,\"models/widgets/slider\":434,\"models/widgets/spinner\":435,\"models/widgets/textarea_input\":436,\"models/widgets/toggle\":437}, {});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END bokeh-widgets.min.js */\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN bokeh-tables.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        factory(root[\"Bokeh\"], \"2.1.1\");\n",
+       "      })(this, function(Bokeh, version) {\n",
+       "        var define;\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
+       "          if (bokeh != null) {\n",
+       "            return bokeh.register_plugin(modules, entry, aliases);\n",
+       "          } else {\n",
+       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
+       "          }\n",
+       "        })\n",
+       "      ({\n",
+       "      438: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(439));o.Tables=r,e(7).register_models(r)},\n",
+       "      439: function _(a,g,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(1);e.__exportStar(a(440),r),e.__exportStar(a(462),r);var t=a(441);r.DataTable=t.DataTable;var o=a(465);r.TableColumn=o.TableColumn;var n=a(457);r.TableWidget=n.TableWidget;var u=a(466);r.AvgAggregator=u.AvgAggregator,r.MinAggregator=u.MinAggregator,r.MaxAggregator=u.MaxAggregator,r.SumAggregator=u.SumAggregator;var l=a(467);r.GroupingInfo=l.GroupingInfo,r.DataCube=l.DataCube},\n",
+       "      440: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1).__importStar(e(18)),r=e(68),a=e(66),n=e(71),l=e(441),u=e(459);class d extends a.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(u.bk_cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",e=>{switch(e.keyCode){case r.Keys.Left:case r.Keys.Right:case r.Keys.Up:case r.Keys.Down:case r.Keys.PageUp:case r.Keys.PageDown:e.stopImmediatePropagation()}})}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[l.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=d,d.__name__=\"CellEditorView\";class o extends n.Model{}i.CellEditor=o,o.__name__=\"CellEditor\";class _ extends d{get emptyValue(){return\"\"}_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=_,_.__name__=\"StringEditorView\";class c extends o{static init_StringEditor(){this.prototype.default_view=_,this.define({completions:[s.Array,[]]})}}i.StringEditor=c,c.__name__=\"StringEditor\",c.init_StringEditor();class p extends d{_createInput(){return r.textarea()}}i.TextEditorView=p,p.__name__=\"TextEditorView\";class h extends o{static init_TextEditor(){this.prototype.default_view=p}}i.TextEditor=h,h.__name__=\"TextEditor\",h.init_TextEditor();class E extends d{_createInput(){return r.select()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild(r.option({value:e},e));this.focus()}}i.SelectEditorView=E,E.__name__=\"SelectEditorView\";class V extends o{static init_SelectEditor(){this.prototype.default_view=E,this.define({options:[s.Array,[]]})}}i.SelectEditor=V,V.__name__=\"SelectEditor\",V.init_SelectEditor();class m extends d{_createInput(){return r.input({type:\"text\"})}}i.PercentEditorView=m,m.__name__=\"PercentEditorView\";class f extends o{static init_PercentEditor(){this.prototype.default_view=m}}i.PercentEditor=f,f.__name__=\"PercentEditor\",f.init_PercentEditor();class x extends d{_createInput(){return r.input({type:\"checkbox\",value:\"true\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=x,x.__name__=\"CheckboxEditorView\";class w extends o{static init_CheckboxEditor(){this.prototype.default_view=x}}i.CheckboxEditor=w,w.__name__=\"CheckboxEditor\",w.init_CheckboxEditor();class g extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseInt(this.getValue(),10)||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=g,g.__name__=\"IntEditorView\";class v extends o{static init_IntEditor(){this.prototype.default_view=g,this.define({step:[s.Number,1]})}}i.IntEditor=v,v.__name__=\"IntEditor\",v.init_IntEditor();class y extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseFloat(this.getValue())||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=y,y.__name__=\"NumberEditorView\";class b extends o{static init_NumberEditor(){this.prototype.default_view=y,this.define({step:[s.Number,.01]})}}i.NumberEditor=b,b.__name__=\"NumberEditor\",b.init_NumberEditor();class I extends d{_createInput(){return r.input({type:\"text\"})}}i.TimeEditorView=I,I.__name__=\"TimeEditorView\";class N extends o{static init_TimeEditor(){this.prototype.default_view=I}}i.TimeEditor=N,N.__name__=\"TimeEditor\",N.init_TimeEditor();class C extends d{_createInput(){return r.input({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=C,C.__name__=\"DateEditorView\";class D extends o{static init_DateEditor(){this.prototype.default_view=C}}i.DateEditor=D,D.__name__=\"DateEditor\",D.init_DateEditor()},\n",
+       "      441: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),o=e(442),n=e(446),l=e(447),r=e(448),d=s.__importStar(e(18)),a=e(24),h=e(8),c=e(9),u=e(17),_=e(72),m=e(188),g=e(457),p=e(458),b=e(459),f=s.__importDefault(e(460)),w=s.__importDefault(e(461));i.DTINDEX_NAME=\"__bkdt_internal_index__\";class x{constructor(e,t){this.init(e,t)}init(e,t){if(i.DTINDEX_NAME in e.data)throw new Error(`special name ${i.DTINDEX_NAME} cannot be used as a data table column`);this.source=e,this.view=t,this.index=this.view.indices}getLength(){return this.index.length}getItem(e){const t={};for(const i of u.keys(this.source.data))t[i]=this.source.data[i][this.index[e]];return t[i.DTINDEX_NAME]=this.index[e],t}getField(e,t){return t==i.DTINDEX_NAME?this.index[e]:this.source.data[t][this.index[e]]}setField(e,t,i){const s=this.index[e];this.source.patch({[t]:[[s,i]]})}getItemMetadata(e){return null}getRecords(){return c.range(0,this.getLength()).map(e=>this.getItem(e))}sort(e){let t=e.map(e=>[e.sortCol.field,e.sortAsc?1:-1]);0==t.length&&(t=[[i.DTINDEX_NAME,1]]);const s=this.getRecords(),o=this.index.slice();this.index.sort((function(e,i){for(const[n,l]of t){const t=s[o.indexOf(e)][n],r=s[o.indexOf(i)][n],d=t==r?0:t>r?l:-l;if(0!=d)return d}return 0}))}}i.TableDataProvider=x,x.__name__=\"TableDataProvider\";class C extends p.WidgetView{constructor(){super(...arguments),this._in_selection_update=!1,this._warned_not_reorderable=!1}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.source.streaming,()=>this.updateGrid()),this.connect(this.model.source.patching,()=>this.updateGrid()),this.connect(this.model.source.change,()=>this.updateGrid()),this.connect(this.model.source.properties.data.change,()=>this.updateGrid()),this.connect(this.model.source.selected.change,()=>this.updateSelection()),this.connect(this.model.source.selected.properties.indices.change,()=>this.updateSelection())}remove(){var e;null===(e=this.grid)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),f.default,w.default]}_update_layout(){this.layout=new m.LayoutItem,this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.grid.resizeCanvas()}updateGrid(){if(this.model.view.compute_indices(),this.data.init(this.model.source,this.model.view),this.model.sortable){const e=this.grid.getColumns(),t=this.grid.getSortColumns().map(t=>({sortCol:{field:e[this.grid.getColumnIndex(t.columnId)].field},sortAsc:t.sortAsc}));this.data.sort(t)}this.grid.invalidate(),this.grid.render()}updateSelection(){if(this._in_selection_update)return;const{selected:e}=this.model.source,t=e.indices.map(e=>this.data.index.indexOf(e)).sort();this._in_selection_update=!0,this.grid.setSelectedRows(t),this._in_selection_update=!1;const i=this.grid.getViewport(),s=this.model.get_scroll_index(i,t);null!=s&&this.grid.scrollRowToTop(s)}newIndexColumn(){return{id:a.uniqueId(),name:this.model.index_header,field:i.DTINDEX_NAME,width:this.model.index_width,behavior:\"select\",cannotTriggerInsert:!0,resizable:!1,selectable:!1,sortable:!0,cssClass:b.bk_cell_index,headerCssClass:b.bk_header_index}}css_classes(){return super.css_classes().concat(b.bk_data_table)}render(){let e,t=this.model.columns.map(e=>Object.assign(Object.assign({},e.toColumn()),{parent:this}));if(\"checkbox\"==this.model.selectable&&(e=new n.CheckboxSelectColumn({cssClass:b.bk_cell_select}),t.unshift(e.getColumnDefinition())),null!=this.model.index_position){const e=this.model.index_position,i=this.newIndexColumn();-1==e?t.push(i):e<-1?t.splice(e+1,0,i):t.splice(e,0,i)}let{reorderable:i}=this.model;!i||\"undefined\"!=typeof $&&null!=$.fn&&null!=$.fn.sortable||(this._warned_not_reorderable||(_.logger.warn(\"jquery-ui is required to enable DataTable.reorderable\"),this._warned_not_reorderable=!0),i=!1);const s={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:i,forceFitColumns:this.model.fit_columns,multiColumnSort:this.model.sortable,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height};if(this.data=new x(this.model.source,this.model.view),this.grid=new r.Grid(this.el,this.data,t,s),this.grid.onSort.subscribe((e,i)=>{this.model.sortable&&(t=i.sortCols,this.data.sort(t),this.grid.invalidate(),this.updateSelection(),this.grid.render(),this.model.header_row||this._hide_header(),this.model.update_sort_columns(t))}),!1!==this.model.selectable){this.grid.setSelectionModel(new o.RowSelectionModel({selectActiveRow:null==e})),null!=e&&this.grid.registerPlugin(e);const t={dataItemColumnValueExtractor(e,t){let i=e[t.field];return h.isString(i)&&(i=i.replace(/\\n/g,\"\\\\n\")),i},includeHeaderWhenCopying:!1};this.grid.registerPlugin(new l.CellExternalCopyManager(t)),this.grid.onSelectedRowsChanged.subscribe((e,t)=>{this._in_selection_update||(this.model.source.selected.indices=t.rows.map(e=>this.data.index[e]))}),this.updateSelection(),this.model.header_row||this._hide_header()}}_hide_header(){for(const e of Array.from(this.el.querySelectorAll(\".slick-header-columns\")))e.style.height=\"0px\";this.grid.resizeCanvas()}}i.DataTableView=C,C.__name__=\"DataTableView\";class D extends g.TableWidget{constructor(e){super(e),this._sort_columns=[]}get sort_columns(){return this._sort_columns}static init_DataTable(){this.prototype.default_view=C,this.define({columns:[d.Array,[]],fit_columns:[d.Boolean,!0],sortable:[d.Boolean,!0],reorderable:[d.Boolean,!0],editable:[d.Boolean,!1],selectable:[d.Any,!0],index_position:[d.Int,0],index_header:[d.String,\"#\"],index_width:[d.Int,40],scroll_to_selection:[d.Boolean,!0],header_row:[d.Boolean,!0],row_height:[d.Int,25]}),this.override({width:600,height:400})}update_sort_columns(e){return this._sort_columns=e.map(e=>({field:e.sortCol.field,sortAsc:e.sortAsc})),null}get_scroll_index(e,t){return this.scroll_to_selection&&0!=t.length?c.some(t,t=>e.top<=t&&t<=e.bottom)?null:Math.max(0,Math.min(...t)-1):null}}i.DataTable=D,D.__name__=\"DataTable\",D.init_DataTable()},\n",
+       "      442: function _(e,t,n){var o=e(443),r=e(445);t.exports={RowSelectionModel:function(e){var t,n,l,i=[],c=this,u=new r.EventHandler,s={selectActiveRow:!0};function a(e){return function(){n||(n=!0,e.apply(this,arguments),n=!1)}}function f(e){for(var t=[],n=0;n<e.length;n++)for(var o=e[n].fromRow;o<=e[n].toRow;o++)t.push(o);return t}function h(e){for(var n=[],o=t.getColumns().length-1,l=0;l<e.length;l++)n.push(new r.Range(e[l],0,e[l],o));return n}function w(){return f(i)}function g(e){(i&&0!==i.length||e&&0!==e.length)&&(i=e,c.onSelectedRangesChanged.notify(i))}function v(e,n){l.selectActiveRow&&null!=n.row&&g([new r.Range(n.row,0,n.row,t.getColumns().length-1)])}function p(e){var n=t.getActiveCell();if(t.getOptions().multiSelect&&n&&e.shiftKey&&!e.ctrlKey&&!e.altKey&&!e.metaKey&&(e.which==r.keyCode.UP||e.which==r.keyCode.DOWN)){var o=w();o.sort((function(e,t){return e-t})),o.length||(o=[n.row]);var l,i=o[0],c=o[o.length-1];if((l=e.which==r.keyCode.DOWN?n.row<c||i==c?++c:++i:n.row<c?--c:--i)>=0&&l<t.getDataLength())t.scrollRowIntoView(l),g(h(function(e,t){var n,o=[];for(n=e;n<=t;n++)o.push(n);for(n=t;n<e;n++)o.push(n);return o}(i,c)));e.preventDefault(),e.stopPropagation()}}function y(e){var n=t.getCellFromEvent(e);if(!n||!t.canCellBeActive(n.row,n.cell))return!1;if(!t.getOptions().multiSelect||!e.ctrlKey&&!e.shiftKey&&!e.metaKey)return!1;var r=f(i),l=o.inArray(n.row,r);if(-1===l&&(e.ctrlKey||e.metaKey))r.push(n.row),t.setActiveCell(n.row,n.cell);else if(-1!==l&&(e.ctrlKey||e.metaKey))r=o.grep(r,(function(e,t){return e!==n.row})),t.setActiveCell(n.row,n.cell);else if(r.length&&e.shiftKey){var c=r.pop(),u=Math.min(n.row,c),s=Math.max(n.row,c);r=[];for(var a=u;a<=s;a++)a!==c&&r.push(a);r.push(c),t.setActiveCell(n.row,n.cell)}return g(h(r)),e.stopImmediatePropagation(),!0}o.extend(this,{getSelectedRows:w,setSelectedRows:function(e){g(h(e))},getSelectedRanges:function(){return i},setSelectedRanges:g,init:function(n){l=o.extend(!0,{},s,e),t=n,u.subscribe(t.onActiveCellChanged,a(v)),u.subscribe(t.onKeyDown,a(p)),u.subscribe(t.onClick,a(y))},destroy:function(){u.unsubscribeAll()},onSelectedRangesChanged:new r.Event})}}},\n",
+       "      443: function _(e,n,f){n.exports=\"undefined\"!=typeof $?$:e(444)},\n",
+       "      444: function _(e,t,n){\n",
+       "      /*!\n",
+       "           * jQuery JavaScript Library v3.5.0\n",
+       "           * https://jquery.com/\n",
+       "           *\n",
+       "           * Includes Sizzle.js\n",
+       "           * https://sizzlejs.com/\n",
+       "           *\n",
+       "           * Copyright JS Foundation and other contributors\n",
+       "           * Released under the MIT license\n",
+       "           * https://jquery.org/license\n",
+       "           *\n",
+       "           * Date: 2020-04-10T15:07Z\n",
+       "           */\n",
+       "      !function(e,n){\"use strict\";\"object\"==typeof t&&\"object\"==typeof t.exports?t.exports=e.document?n(e,!0):function(e){if(!e.document)throw new Error(\"jQuery requires a window with a document\");return n(e)}:n(e)}(\"undefined\"!=typeof window?window:this,(function(e,t){\"use strict\";var n=[],r=Object.getPrototypeOf,i=n.slice,o=n.flat?function(e){return n.flat.call(e)}:function(e){return n.concat.apply([],e)},a=n.push,s=n.indexOf,u={},l=u.toString,c=u.hasOwnProperty,f=c.toString,p=f.call(Object),d={},h=function(e){return\"function\"==typeof e&&\"number\"!=typeof e.nodeType},g=function(e){return null!=e&&e===e.window},v=e.document,y={type:!0,src:!0,nonce:!0,noModule:!0};function m(e,t,n){var r,i,o=(n=n||v).createElement(\"script\");if(o.text=e,t)for(r in y)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function x(e){return null==e?e+\"\":\"object\"==typeof e||\"function\"==typeof e?u[l.call(e)]||\"object\":typeof e}var b=function(e,t){return new b.fn.init(e,t)};function w(e){var t=!!e&&\"length\"in e&&e.length,n=x(e);return!h(e)&&!g(e)&&(\"array\"===n||0===t||\"number\"==typeof t&&t>0&&t-1 in e)}b.fn=b.prototype={jquery:\"3.5.0\",constructor:b,length:0,toArray:function(){return i.call(this)},get:function(e){return null==e?i.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=b.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return b.each(this,e)},map:function(e){return this.pushStack(b.map(this,(function(t,n){return e.call(t,n,t)})))},slice:function(){return this.pushStack(i.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(b.grep(this,(function(e,t){return(t+1)%2})))},odd:function(){return this.pushStack(b.grep(this,(function(e,t){return t%2})))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(n>=0&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:a,sort:n.sort,splice:n.splice},b.extend=b.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for(\"boolean\"==typeof a&&(l=a,a=arguments[s]||{},s++),\"object\"==typeof a||h(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],\"__proto__\"!==t&&a!==r&&(l&&r&&(b.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||b.isPlainObject(n)?n:{},i=!1,a[t]=b.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},b.extend({expando:\"jQuery\"+(\"3.5.0\"+Math.random()).replace(/\\D/g,\"\"),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||\"[object Object]\"!==l.call(e))&&(!(t=r(e))||\"function\"==typeof(n=c.call(t,\"constructor\")&&t.constructor)&&f.call(n)===p)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){m(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(w(e))for(n=e.length;r<n&&!1!==t.call(e[r],r,e[r]);r++);else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(w(Object(e))?b.merge(n,\"string\"==typeof e?[e]:e):a.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:s.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,a=0,s=[];if(w(e))for(r=e.length;a<r;a++)null!=(i=t(e[a],a,n))&&s.push(i);else for(a in e)null!=(i=t(e[a],a,n))&&s.push(i);return o(s)},guid:1,support:d}),\"function\"==typeof Symbol&&(b.fn[Symbol.iterator]=n[Symbol.iterator]),b.each(\"Boolean Number String Function Array Date RegExp Object Error Symbol\".split(\" \"),(function(e,t){u[\"[object \"+t+\"]\"]=t.toLowerCase()}));var T=\n",
+       "      /*!\n",
+       "               * Sizzle CSS Selector Engine v2.3.5\n",
+       "               * https://sizzlejs.com/\n",
+       "               *\n",
+       "               * Copyright JS Foundation and other contributors\n",
+       "               * Released under the MIT license\n",
+       "               * https://js.foundation/\n",
+       "               *\n",
+       "               * Date: 2020-03-14\n",
+       "               */\n",
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+       "      445: function _(t,i,n){function o(){var t=!1,i=!1;this.stopPropagation=function(){t=!0},this.isPropagationStopped=function(){return t},this.stopImmediatePropagation=function(){i=!0},this.isImmediatePropagationStopped=function(){return i}}function e(){this.__nonDataRow=!0}function r(){this.__group=!0,this.level=0,this.count=0,this.value=null,this.title=null,this.collapsed=!1,this.selectChecked=!1,this.totals=null,this.rows=[],this.groups=null,this.groupingKey=null}function s(){this.__groupTotals=!0,this.group=null,this.initialized=!1}function l(){var t=null;this.isActive=function(i){return i?t===i:null!==t},this.activate=function(i){if(i!==t){if(null!==t)throw new Error(\"SlickGrid.EditorLock.activate: an editController is still active, can't activate another editController\");if(!i.commitCurrentEdit)throw new Error(\"SlickGrid.EditorLock.activate: editController must implement .commitCurrentEdit()\");if(!i.cancelCurrentEdit)throw new Error(\"SlickGrid.EditorLock.activate: editController must implement .cancelCurrentEdit()\");t=i}},this.deactivate=function(i){if(t!==i)throw new Error(\"SlickGrid.EditorLock.deactivate: specified editController is not the currently active one\");t=null},this.commitCurrentEdit=function(){return!t||t.commitCurrentEdit()},this.cancelCurrentEdit=function(){return!t||t.cancelCurrentEdit()}}r.prototype=new e,r.prototype.equals=function(t){return this.value===t.value&&this.count===t.count&&this.collapsed===t.collapsed&&this.title===t.title},s.prototype=new e,i.exports={Event:function(){var t=[];this.subscribe=function(i){t.push(i)},this.unsubscribe=function(i){for(var n=t.length-1;n>=0;n--)t[n]===i&&t.splice(n,1)},this.notify=function(i,n,e){var r;n=n||new o,e=e||this;for(var s=0;s<t.length&&!n.isPropagationStopped()&&!n.isImmediatePropagationStopped();s++)r=t[s].call(e,n,i);return r}},EventData:o,EventHandler:function(){var t=[];this.subscribe=function(i,n){return t.push({event:i,handler:n}),i.subscribe(n),this},this.unsubscribe=function(i,n){for(var o=t.length;o--;)if(t[o].event===i&&t[o].handler===n)return t.splice(o,1),void i.unsubscribe(n);return this},this.unsubscribeAll=function(){for(var i=t.length;i--;)t[i].event.unsubscribe(t[i].handler);return t=[],this}},Range:function(t,i,n,o){void 0===n&&void 0===o&&(n=t,o=i),this.fromRow=Math.min(t,n),this.fromCell=Math.min(i,o),this.toRow=Math.max(t,n),this.toCell=Math.max(i,o),this.isSingleRow=function(){return this.fromRow==this.toRow},this.isSingleCell=function(){return this.fromRow==this.toRow&&this.fromCell==this.toCell},this.contains=function(t,i){return t>=this.fromRow&&t<=this.toRow&&i>=this.fromCell&&i<=this.toCell},this.toString=function(){return this.isSingleCell()?\"(\"+this.fromRow+\":\"+this.fromCell+\")\":\"(\"+this.fromRow+\":\"+this.fromCell+\" - \"+this.toRow+\":\"+this.toCell+\")\"}},NonDataRow:e,Group:r,GroupTotals:s,EditorLock:l,GlobalEditorLock:new l,keyCode:{BACKSPACE:8,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,ESC:27,HOME:36,INSERT:45,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,RIGHT:39,TAB:9,UP:38,C:67,V:86},preClickClassName:\"slick-edit-preclick\"}},\n",
+       "      446: function _(e,t,o){var l=e(443),c=e(445);t.exports={CheckboxSelectColumn:function(e){var t,o=g(),n=new c.EventHandler,i={},r=!1,d=l.extend(!0,{},{columnId:\"_checkbox_selector\",cssClass:null,hideSelectAllCheckbox:!1,toolTip:\"Select/Deselect All\",width:30,hideInColumnTitleRow:!1,hideInFilterHeaderRow:!0},e);function a(){t.updateColumnHeader(d.columnId,\"\",\"\")}function s(){l(\"#filter-checkbox-selectall-container\").hide()}function u(e,c){var n,a,s=t.getSelectedRows(),u={};for(a=0;a<s.length;a++)u[n=s[a]]=!0,u[n]!==i[n]&&(t.invalidateRow(n),delete i[n]);for(a in i)t.invalidateRow(a);(i=u,t.render(),r=s.length&&s.length==t.getDataLength(),d.hideInColumnTitleRow||d.hideSelectAllCheckbox||(r?t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox' checked='checked'><label for='header-selector\"+o+\"'></label>\",d.toolTip):t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",d.toolTip)),d.hideInFilterHeaderRow)||l(\"#header-filter-selector\"+o).prop(\"checked\",r)}function h(e,o){32==e.which&&t.getColumns()[o.cell].id===d.columnId&&(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit()||p(o.row),e.preventDefault(),e.stopImmediatePropagation())}function f(e,o){if(t.getColumns()[o.cell].id===d.columnId&&l(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();p(o.row),e.stopPropagation(),e.stopImmediatePropagation()}}function p(e){i[e]?t.setSelectedRows(l.grep(t.getSelectedRows(),(function(t){return t!=e}))):t.setSelectedRows(t.getSelectedRows().concat(e)),t.setActiveCell(e,function(){if(null===m){m=0;for(var e=t.getColumns(),o=0;o<e.length;o++)e[o].id==d.columnId&&(m=o)}return m}()),t.focus()}function b(e,o){if(o.column.id==d.columnId&&l(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();if(l(e.target).is(\":checked\")){for(var c=[],n=0;n<t.getDataLength();n++)c.push(n);t.setSelectedRows(c)}else t.setSelectedRows([]);e.stopPropagation(),e.stopImmediatePropagation()}}var m=null;function g(){return Math.round(1e7*Math.random())}function k(e,t,o,l,c){var n=g()+e;return c?i[e]?\"<input id='selector\"+n+\"' type='checkbox' checked='checked'><label for='selector\"+n+\"'></label>\":\"<input id='selector\"+n+\"' type='checkbox'><label for='selector\"+n+\"'></label>\":null}l.extend(this,{init:function(e){t=e,n.subscribe(t.onSelectedRowsChanged,u).subscribe(t.onClick,f).subscribe(t.onKeyDown,h),d.hideInFilterHeaderRow||function(e){e.onHeaderRowCellRendered.subscribe((function(e,t){\"sel\"===t.column.field&&(l(t.node).empty(),l(\"<span id='filter-checkbox-selectall-container'><input id='header-filter-selector\"+o+\"' type='checkbox'><label for='header-filter-selector\"+o+\"'></label></span>\").appendTo(t.node).on(\"click\",(function(e){b(e,t)})))}))}(e),d.hideInColumnTitleRow||n.subscribe(t.onHeaderClick,b)},destroy:function(){n.unsubscribeAll()},deSelectRows:function(e){var o,c=e.length,n=[];for(o=0;o<c;o++)i[e[o]]&&(n[n.length]=e[o]);t.setSelectedRows(l.grep(t.getSelectedRows(),(function(e){return n.indexOf(e)<0})))},selectRows:function(e){var o,l=e.length,c=[];for(o=0;o<l;o++)i[e[o]]||(c[c.length]=e[o]);t.setSelectedRows(t.getSelectedRows().concat(c))},getColumnDefinition:function(){return{id:d.columnId,name:d.hideSelectAllCheckbox||d.hideInColumnTitleRow?\"\":\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",toolTip:d.toolTip,field:\"sel\",width:d.width,resizable:!1,sortable:!1,cssClass:d.cssClass,hideSelectAllCheckbox:d.hideSelectAllCheckbox,formatter:k}},getOptions:function(){return d},setOptions:function(e){if((d=l.extend(!0,{},d,e)).hideSelectAllCheckbox)a(),s();else if(d.hideInColumnTitleRow?a():(r?t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox' checked='checked'><label for='header-selector\"+o+\"'></label>\",d.toolTip):t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",d.toolTip),n.subscribe(t.onHeaderClick,b)),d.hideInFilterHeaderRow)s();else{var c=l(\"#filter-checkbox-selectall-container\");c.show(),c.find('input[type=\"checkbox\"]').prop(\"checked\",r)}}})}}},\n",
+       "      447: function _(e,t,o){var l=e(443),n=e(445),a=n.keyCode;t.exports={CellExternalCopyManager:function(e){var t,o,r=this,i=e||{},s=i.copiedCellStyleLayerKey||\"copy-manager\",u=i.copiedCellStyle||\"copied\",c=0,d=i.bodyElement||document.body,f=i.onCopyInit||null,h=i.onCopySuccess||null;function C(e){if(i.headerColumnValueExtractor){var t=i.headerColumnValueExtractor(e);if(t)return t}return e.name}function m(e,o,n){if(i.dataItemColumnValueExtractor){var a=i.dataItemColumnValueExtractor(e,o);if(a)return a}var r=\"\";if(o.editor){var s={container:l(\"<p>\"),column:o,position:{top:0,left:0},grid:t,event:n},u=new o.editor(s);u.loadValue(e),r=u.serializeValue(),u.destroy()}else r=e[o.field];return r}function g(e,o,n){if(i.dataItemColumnValueSetter)return i.dataItemColumnValueSetter(e,o,n);if(o.editor){var a={container:l(\"body\"),column:o,position:{top:0,left:0},grid:t},r=new o.editor(a);r.loadValue(e),r.applyValue(e,n),r.destroy()}else e[o.field]=n}function p(e){var t=document.createElement(\"textarea\");return t.style.position=\"absolute\",t.style.left=\"-1000px\",t.style.top=document.body.scrollTop+\"px\",t.value=e,d.appendChild(t),t.select(),t}function y(e,l){var n;if(!t.getEditorLock().isActive()||t.getOptions().autoEdit){if(e.which==a.ESC&&o&&(e.preventDefault(),w(),r.onCopyCancelled.notify({ranges:o}),o=null),(e.which===a.C||e.which===a.INSERT)&&(e.ctrlKey||e.metaKey)&&!e.shiftKey&&(f&&f.call(),0!=(n=t.getSelectionModel().getSelectedRanges()).length)){o=n,v(n),r.onCopyCells.notify({ranges:n});for(var s=t.getColumns(),u=\"\",c=0;c<n.length;c++){for(var y=n[c],D=[],S=y.fromRow;S<y.toRow+1;S++){var R=[],x=t.getDataItem(S);if(\"\"==D&&i.includeHeaderWhenCopying){for(var V=[],E=y.fromCell;E<y.toCell+1;E++)s[E].name.length>0&&V.push(C(s[E]));D.push(V.join(\"\\t\"))}for(E=y.fromCell;E<y.toCell+1;E++)R.push(m(x,s[E],e));D.push(R.join(\"\\t\"))}u+=D.join(\"\\r\\n\")+\"\\r\\n\"}if(window.clipboardData)return window.clipboardData.setData(\"Text\",u),!0;var b=document.activeElement;if((M=p(u)).focus(),setTimeout((function(){d.removeChild(M),b?b.focus():console.log(\"Not element to restore focus to after copy?\")}),100),h){var I=0;I=1===n.length?n[0].toRow+1-n[0].fromRow:n.length,h.call(this,I)}return!1}if(!i.readOnlyMode&&(e.which===a.V&&(e.ctrlKey||e.metaKey)&&!e.shiftKey||e.which===a.INSERT&&e.shiftKey&&!e.ctrlKey)){var M=p(\"\");return setTimeout((function(){!function(e,t){var o=e.getColumns(),l=t.value.split(/[\\n\\f\\r]/);\"\"==l[l.length-1]&&l.pop();var n=[],a=0;d.removeChild(t);for(var s=0;s<l.length;s++)\"\"!=l[s]?n[a++]=l[s].split(\"\\t\"):n[s]=[\"\"];var u=e.getActiveCell(),c=e.getSelectionModel().getSelectedRanges(),f=c&&c.length?c[0]:null,h=null,C=null;if(f)h=f.fromRow,C=f.fromCell;else{if(!u)return;h=u.row,C=u.cell}var m=!1,p=n.length,y=n.length?n[0].length:0;1==n.length&&1==n[0].length&&f&&(m=!0,p=f.toRow-f.fromRow+1,y=f.toCell-f.fromCell+1);var w=e.getData().length-h,D=0;if(w<p&&i.newRowCreator){var S=e.getData();for(D=1;D<=p-w;D++)S.push({});e.setData(S),e.render()}var R=h+p>e.getDataLength();if(i.newRowCreator&&R){var x=h+p-e.getDataLength();i.newRowCreator(x)}var V={isClipboardCommand:!0,clippedRange:n,oldValues:[],cellExternalCopyManager:r,_options:i,setDataItemValueForColumn:g,markCopySelection:v,oneCellToMultiple:m,activeRow:h,activeCell:C,destH:p,destW:y,maxDestY:e.getDataLength(),maxDestX:e.getColumns().length,h:0,w:0,execute:function(){this.h=0;for(var t=0;t<this.destH;t++){this.oldValues[t]=[],this.w=0,this.h++;for(var l=0;l<this.destW;l++){this.w++;var a=h+t,r=C+l;if(a<this.maxDestY&&r<this.maxDestX){e.getCellNode(a,r);var i=e.getDataItem(a);this.oldValues[t][l]=i[o[r].field],m?this.setDataItemValueForColumn(i,o[r],n[0][0]):this.setDataItemValueForColumn(i,o[r],n[t]?n[t][l]:\"\"),e.updateCell(a,r),e.onCellChange.notify({row:a,cell:r,item:i,grid:e})}}}var s={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};this.markCopySelection([s]),e.getSelectionModel().setSelectedRanges([s]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[s]})},undo:function(){for(var t=0;t<this.destH;t++)for(var l=0;l<this.destW;l++){var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var r=e.getDataItem(n);m?this.setDataItemValueForColumn(r,o[a],this.oldValues[0][0]):this.setDataItemValueForColumn(r,o[a],this.oldValues[t][l]),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:r,grid:e})}}var i={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};if(this.markCopySelection([i]),e.getSelectionModel().setSelectedRanges([i]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[i]}),D>1){for(var s=e.getData();D>1;D--)s.splice(s.length-1,1);e.setData(s),e.render()}}};i.clipboardCommandHandler?i.clipboardCommandHandler(V):V.execute()}(t,M)}),100),!1}}}function v(e){w();for(var o=t.getColumns(),l={},n=0;n<e.length;n++)for(var a=e[n].fromRow;a<=e[n].toRow;a++){l[a]={};for(var i=e[n].fromCell;i<=e[n].toCell&&i<o.length;i++)l[a][o[i].id]=u}t.setCellCssStyles(s,l),clearTimeout(c),c=setTimeout((function(){r.clearCopySelection()}),2e3)}function w(){t.removeCellCssStyles(s)}l.extend(this,{init:function(e){(t=e).onKeyDown.subscribe(y);var o=e.getSelectionModel();if(!o)throw new Error(\"Selection model is mandatory for this plugin. Please set a selection model on the grid before adding this plugin: grid.setSelectionModel(new Slick.CellSelectionModel())\");o.onSelectedRangesChanged.subscribe((function(e,o){t.focus()}))},destroy:function(){t.onKeyDown.unsubscribe(y)},clearCopySelection:w,handleKeyDown:y,onCopyCells:new n.Event,onCopyCancelled:new n.Event,onPasteCells:new n.Event,setIncludeHeaderWhenCopying:function(e){i.includeHeaderWhenCopying=e}})}}},\n",
+       "      448: function _(r,t,o){var _=r(1);_.__exportStar(r(445),t.exports),_.__exportStar(r(449),t.exports),_.__exportStar(r(452),t.exports),_.__exportStar(r(453),t.exports),_.__exportStar(r(454),t.exports),_.__exportStar(r(455),t.exports),_.__exportStar(r(456),t.exports)},\n",
+       "      449: function _(require,module,exports){\n",
+       "      /**\n",
+       "           * @license\n",
+       "           * (c) 2009-2016 Michael Leibman\n",
+       "           * michael{dot}leibman{at}gmail{dot}com\n",
+       "           * http://github.com/mleibman/slickgrid\n",
+       "           *\n",
+       "           * Distributed under MIT license.\n",
+       "           * All rights reserved.\n",
+       "           *\n",
+       "           * SlickGrid v2.3\n",
+       "           *\n",
+       "           * NOTES:\n",
+       "           *     Cell/row DOM manipulations are done directly bypassing jQuery's DOM manipulation methods.\n",
+       "           *     This increases the speed dramatically, but can only be done safely because there are no event handlers\n",
+       "           *     or data associated with any cell/row DOM nodes.  Cell editors must make sure they implement .destroy()\n",
+       "           *     and do proper cleanup.\n",
+       "           */\n",
+       "      var $=require(443),Slick=require(445),scrollbarDimensions,maxSupportedCssHeight;function SlickGrid(container,data,columns,options){$.fn.drag||require(450),$.fn.drop||require(451);var defaults={alwaysShowVerticalScroll:!1,explicitInitialization:!1,rowHeight:25,defaultColumnWidth:80,enableAddRow:!1,leaveSpaceForNewRows:!1,editable:!1,autoEdit:!0,suppressActiveCellChangeOnEdit:!1,enableCellNavigation:!0,enableColumnReorder:!0,asyncEditorLoading:!1,asyncEditorLoadDelay:100,forceFitColumns:!1,enableAsyncPostRender:!1,asyncPostRenderDelay:50,enableAsyncPostRenderCleanup:!1,asyncPostRenderCleanupDelay:40,autoHeight:!1,editorLock:Slick.GlobalEditorLock,showHeaderRow:!1,headerRowHeight:25,createFooterRow:!1,showFooterRow:!1,footerRowHeight:25,createPreHeaderPanel:!1,showPreHeaderPanel:!1,preHeaderPanelHeight:25,showTopPanel:!1,topPanelHeight:25,formatterFactory:null,editorFactory:null,cellFlashingCssClass:\"flashing\",selectedCellCssClass:\"selected\",multiSelect:!0,enableTextSelectionOnCells:!1,dataItemColumnValueExtractor:null,fullWidthRows:!1,multiColumnSort:!1,numberedMultiColumnSort:!1,tristateMultiColumnSort:!1,sortColNumberInSeparateSpan:!1,defaultFormatter,forceSyncScrolling:!1,addNewRowCssClass:\"new-row\",preserveCopiedSelectionOnPaste:!1,showCellSelection:!0,viewportClass:null,minRowBuffer:3,emulatePagingWhenScrolling:!0,editorCellNavOnLRKeys:!1},columnDefaults={name:\"\",resizable:!0,sortable:!1,minWidth:30,rerenderOnResize:!1,headerCssClass:null,defaultSortAsc:!0,focusable:!0,selectable:!0},th,h,ph,n,cj,page=0,offset=0,vScrollDir=1,initialized=!1,$container,uid=\"slickgrid_\"+Math.round(1e6*Math.random()),self=this,$focusSink,$focusSink2,$headerScroller,$headers,$headerRow,$headerRowScroller,$headerRowSpacer,$footerRow,$footerRowScroller,$footerRowSpacer,$preHeaderPanel,$preHeaderPanelScroller,$preHeaderPanelSpacer,$topPanelScroller,$topPanel,$viewport,$canvas,$style,$boundAncestors,stylesheet,columnCssRulesL,columnCssRulesR,viewportH,viewportW,canvasWidth,viewportHasHScroll,viewportHasVScroll,headerColumnWidthDiff=0,headerColumnHeightDiff=0,cellWidthDiff=0,cellHeightDiff=0,jQueryNewWidthBehaviour=!1,absoluteColumnMinWidth,tabbingDirection=1,activePosX,activeRow,activeCell,activeCellNode=null,currentEditor=null,serializedEditorValue,editController,rowsCache={},renderedRows=0,numVisibleRows,prevScrollTop=0,scrollTop=0,lastRenderedScrollTop=0,lastRenderedScrollLeft=0,prevScrollLeft=0,scrollLeft=0,selectionModel,selectedRows=[],plugins=[],cellCssClasses={},columnsById={},sortColumns=[],columnPosLeft=[],columnPosRight=[],pagingActive=!1,pagingIsLastPage=!1,scrollThrottle=ActionThrottle(render,50),h_editorLoader=null,h_render=null,h_postrender=null,h_postrenderCleanup=null,postProcessedRows={},postProcessToRow=null,postProcessFromRow=null,postProcessedCleanupQueue=[],postProcessgroupId=0,counter_rows_rendered=0,counter_rows_removed=0,rowNodeFromLastMouseWheelEvent,zombieRowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent,cssShow={position:\"absolute\",visibility:\"hidden\",display:\"block\"},$hiddenParents,oldProps=[],columnResizeDragging=!1;function init(){if(($container=container instanceof $?container:$(container)).length<1)throw new Error(\"SlickGrid requires a valid container, \"+container+\" does not exist in the DOM.\");cacheCssForHiddenInit(),maxSupportedCssHeight=maxSupportedCssHeight||getMaxSupportedCssHeight(),options=$.extend({},defaults,options),validateAndEnforceOptions(),columnDefaults.width=options.defaultColumnWidth,columnsById={};for(var e=0;e<columns.length;e++){var o=columns[e]=$.extend({},columnDefaults,columns[e]);columnsById[o.id]=e,o.minWidth&&o.width<o.minWidth&&(o.width=o.minWidth),o.maxWidth&&o.width>o.maxWidth&&(o.width=o.maxWidth)}if(options.enableColumnReorder&&!$.fn.sortable)throw new Error(\"SlickGrid's 'enableColumnReorder = true' option requires jquery-ui.sortable module to be loaded\");editController={commitCurrentEdit,cancelCurrentEdit},$container.empty().css(\"overflow\",\"hidden\").css(\"outline\",0).addClass(uid).addClass(\"ui-widget\"),/relative|absolute|fixed/.test($container.css(\"position\"))||$container.css(\"position\",\"relative\"),$focusSink=$(\"<div tabIndex='0' hideFocus style='position:fixed;width:0;height:0;top:0;left:0;outline:0;'></div>\").appendTo($container),options.createPreHeaderPanel&&($preHeaderPanelScroller=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($container),$preHeaderPanel=$(\"<div />\").appendTo($preHeaderPanelScroller),$preHeaderPanelSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScroller),options.showPreHeaderPanel||$preHeaderPanelScroller.hide()),$headerScroller=$(\"<div class='slick-header ui-state-default' />\").appendTo($container),$headers=$(\"<div class='slick-header-columns' style='left:-1000px' />\").appendTo($headerScroller),$headerRowScroller=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($container),$headerRow=$(\"<div class='slick-headerrow-columns' />\").appendTo($headerRowScroller),$headerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScroller),$topPanelScroller=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($container),$topPanel=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScroller),options.showTopPanel||$topPanelScroller.hide(),options.showHeaderRow||$headerRowScroller.hide(),($viewport=$(\"<div class='slick-viewport' style='width:100%;overflow:auto;outline:0;position:relative;;'>\").appendTo($container)).css(\"overflow-y\",options.alwaysShowVerticalScroll?\"scroll\":options.autoHeight?\"hidden\":\"auto\"),$viewport.css(\"overflow-x\",options.forceFitColumns?\"hidden\":\"auto\"),options.viewportClass&&$viewport.toggleClass(options.viewportClass,!0),$canvas=$(\"<div class='grid-canvas' />\").appendTo($viewport),scrollbarDimensions=scrollbarDimensions||measureScrollbar(),$preHeaderPanelSpacer&&$preHeaderPanelSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headers.width(getHeadersWidth()),$headerRowSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),options.createFooterRow&&($footerRowScroller=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($container),$footerRow=$(\"<div class='slick-footerrow-columns' />\").appendTo($footerRowScroller),$footerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScroller),options.showFooterRow||$footerRowScroller.hide()),$focusSink2=$focusSink.clone().appendTo($container),options.explicitInitialization||finishInitialization()}function finishInitialization(){initialized||(initialized=!0,viewportW=parseFloat($.css($container[0],\"width\",!0)),measureCellPaddingAndBorder(),disableSelection($headers),options.enableTextSelectionOnCells||$viewport.on(\"selectstart.ui\",(function(e){return $(e.target).is(\"input,textarea\")})),updateColumnCaches(),createColumnHeaders(),setupColumnSort(),createCssRules(),resizeCanvas(),bindAncestorScrollEvents(),$container.on(\"resize.slickgrid\",resizeCanvas),$viewport.on(\"scroll\",handleScroll),$headerScroller.on(\"contextmenu\",handleHeaderContextMenu).on(\"click\",handleHeaderClick).on(\"mouseenter\",\".slick-header-column\",handleHeaderMouseEnter).on(\"mouseleave\",\".slick-header-column\",handleHeaderMouseLeave),$headerRowScroller.on(\"scroll\",handleHeaderRowScroll),options.createFooterRow&&$footerRowScroller.on(\"scroll\",handleFooterRowScroll),options.createPreHeaderPanel&&$preHeaderPanelScroller.on(\"scroll\",handlePreHeaderPanelScroll),$focusSink.add($focusSink2).on(\"keydown\",handleKeyDown),$canvas.on(\"keydown\",handleKeyDown).on(\"click\",handleClick).on(\"dblclick\",handleDblClick).on(\"contextmenu\",handleContextMenu).on(\"draginit\",handleDragInit).on(\"dragstart\",{distance:3},handleDragStart).on(\"drag\",handleDrag).on(\"dragend\",handleDragEnd).on(\"mouseenter\",\".slick-cell\",handleMouseEnter).on(\"mouseleave\",\".slick-cell\",handleMouseLeave),navigator.userAgent.toLowerCase().match(/webkit/)&&navigator.userAgent.toLowerCase().match(/macintosh/)&&$canvas.on(\"mousewheel\",handleMouseWheel),restoreCssFromHiddenInit())}function cacheCssForHiddenInit(){($hiddenParents=$container.parents().addBack().not(\":visible\")).each((function(){var e={};for(var o in cssShow)e[o]=this.style[o],this.style[o]=cssShow[o];oldProps.push(e)}))}function restoreCssFromHiddenInit(){$hiddenParents.each((function(e){var o=oldProps[e];for(var t in cssShow)this.style[t]=o[t]}))}function registerPlugin(e){plugins.unshift(e),e.init(self)}function unregisterPlugin(e){for(var o=plugins.length;o>=0;o--)if(plugins[o]===e){plugins[o].destroy&&plugins[o].destroy(),plugins.splice(o,1);break}}function setSelectionModel(e){selectionModel&&(selectionModel.onSelectedRangesChanged.unsubscribe(handleSelectedRangesChanged),selectionModel.destroy&&selectionModel.destroy()),(selectionModel=e)&&(selectionModel.init(self),selectionModel.onSelectedRangesChanged.subscribe(handleSelectedRangesChanged))}function getSelectionModel(){return selectionModel}function getCanvasNode(){return $canvas[0]}function measureScrollbar(){var e=$('<div class=\"'+$viewport.className+'\" style=\"position:absolute; top:-10000px; left:-10000px; overflow:auto; width:100px; height:100px;\"></div>').appendTo($viewport),o=$('<div style=\"width:200px; height:200px; overflow:auto;\"></div>').appendTo(e),t={width:e[0].offsetWidth-e[0].clientWidth,height:e[0].offsetHeight-e[0].clientHeight};return o.remove(),e.remove(),t}function getColumnTotalWidth(e){for(var o=0,t=0,l=columns.length;t<l;t++){o+=columns[t].width}return e&&(o+=scrollbarDimensions.width),o}function getHeadersWidth(){var e=getColumnTotalWidth(!options.autoHeight);return Math.max(e,viewportW)+1e3}function getCanvasWidth(){for(var e=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,o=0,t=columns.length;t--;)o+=columns[t].width;return options.fullWidthRows?Math.max(o,e):o}function updateCanvasWidth(e){var o=canvasWidth;(canvasWidth=getCanvasWidth())!=o&&($canvas.width(canvasWidth),$headerRow.width(canvasWidth),options.createFooterRow&&$footerRow.width(canvasWidth),options.createPreHeaderPanel&&$preHeaderPanel.width(canvasWidth),$headers.width(getHeadersWidth()),viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width);var t=canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0);$headerRowSpacer.width(t),options.createFooterRow&&$footerRowSpacer.width(t),options.createPreHeaderPanel&&$preHeaderPanelSpacer.width(t),(canvasWidth!=o||e)&&applyColumnWidths()}function disableSelection(e){e&&e.jquery&&e.attr(\"unselectable\",\"on\").css(\"MozUserSelect\",\"none\").on(\"selectstart.ui\",(function(){return!1}))}function getMaxSupportedCssHeight(){for(var e=1e6,o=navigator.userAgent.toLowerCase().match(/firefox/)?6e6:1e9,t=$(\"<div style='display:none' />\").appendTo(document.body);;){var l=2*e;if(t.css(\"height\",l),l>o||t.height()!==l)break;e=l}return t.remove(),e}function getUID(){return uid}function getHeaderColumnWidthDiff(){return headerColumnWidthDiff}function getScrollbarDimensions(){return scrollbarDimensions}function bindAncestorScrollEvents(){for(var e=$canvas[0];(e=e.parentNode)!=document.body&&null!=e;)if(e==$viewport[0]||e.scrollWidth!=e.clientWidth||e.scrollHeight!=e.clientHeight){var o=$(e);$boundAncestors=$boundAncestors?$boundAncestors.add(o):o,o.on(\"scroll.\"+uid,handleActiveCellPositionChange)}}function unbindAncestorScrollEvents(){$boundAncestors&&($boundAncestors.off(\"scroll.\"+uid),$boundAncestors=null)}function updateColumnHeader(e,o,t){if(initialized){var l=getColumnIndex(e);if(null!=l){var n=columns[l],r=$headers.children().eq(l);r&&(void 0!==o&&(columns[l].name=o),void 0!==t&&(columns[l].toolTip=t),trigger(self.onBeforeHeaderCellDestroy,{node:r[0],column:n,grid:self}),r.attr(\"title\",t||\"\").children().eq(0).html(o),trigger(self.onHeaderCellRendered,{node:r[0],column:n,grid:self}))}}}function getHeader(){return $headers[0]}function getHeaderColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headers.children().eq(o);return t&&t[0]}function getHeaderRow(){return $headerRow[0]}function getFooterRow(){return $footerRow[0]}function getPreHeaderPanel(){return $preHeaderPanel[0]}function getHeaderRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headerRow.children().eq(o);return t&&t[0]}function getFooterRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$footerRow.children().eq(o);return t&&t[0]}function createColumnHeaders(){function e(){$(this).addClass(\"ui-state-hover\")}function o(){$(this).removeClass(\"ui-state-hover\")}$headers.find(\".slick-header-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderCellDestroy,{node:this,column:e,grid:self})})),$headers.empty(),$headers.width(getHeadersWidth()),$headerRow.find(\".slick-headerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderRowCellDestroy,{node:this,column:e,grid:self})})),$headerRow.empty(),options.createFooterRow&&($footerRow.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e})})),$footerRow.empty());for(var t=0;t<columns.length;t++){var l=columns[t],n=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+l.name+\"</span>\").width(l.width-headerColumnWidthDiff).attr(\"id\",\"\"+uid+l.id).attr(\"title\",l.toolTip||\"\").data(\"column\",l).addClass(l.headerCssClass||\"\").appendTo($headers);if((options.enableColumnReorder||l.sortable)&&n.on(\"mouseenter\",e).on(\"mouseleave\",o),l.sortable&&(n.addClass(\"slick-header-sortable\"),n.append(\"<span class='slick-sort-indicator\"+(options.numberedMultiColumnSort&&!options.sortColNumberInSeparateSpan?\" slick-sort-indicator-numbered\":\"\")+\"' />\"),options.numberedMultiColumnSort&&options.sortColNumberInSeparateSpan&&n.append(\"<span class='slick-sort-indicator-numbered' />\")),trigger(self.onHeaderCellRendered,{node:n[0],column:l,grid:self}),options.showHeaderRow){var r=$(\"<div class='ui-state-default slick-headerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($headerRow);trigger(self.onHeaderRowCellRendered,{node:r[0],column:l,grid:self})}if(options.createFooterRow&&options.showFooterRow){var i=$(\"<div class='ui-state-default slick-footerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($footerRow);trigger(self.onFooterRowCellRendered,{node:i[0],column:l})}}setSortColumns(sortColumns),setupColumnResize(),options.enableColumnReorder&&(\"function\"==typeof options.enableColumnReorder?options.enableColumnReorder(self,$headers,headerColumnWidthDiff,setColumns,setupColumnResize,columns,getColumnIndex,uid,trigger):setupColumnReorder())}function setupColumnSort(){$headers.click((function(e){if(!columnResizeDragging&&(e.metaKey=e.metaKey||e.ctrlKey,!$(e.target).hasClass(\"slick-resizable-handle\"))){var o=$(e.target).closest(\".slick-header-column\");if(o.length){var t=o.data(\"column\");if(t.sortable){if(!getEditorLock().commitCurrentEdit())return;for(var l=null,n=0;n<sortColumns.length;n++)if(sortColumns[n].columnId==t.id){(l=sortColumns[n]).sortAsc=!l.sortAsc;break}var r=!!l;options.tristateMultiColumnSort?(l||(l={columnId:t.id,sortAsc:t.defaultSortAsc}),r&&l.sortAsc&&(sortColumns.splice(n,1),l=null),options.multiColumnSort||(sortColumns=[]),!l||r&&options.multiColumnSort||sortColumns.push(l)):e.metaKey&&options.multiColumnSort?l&&sortColumns.splice(n,1):((e.shiftKey||e.metaKey)&&options.multiColumnSort||(sortColumns=[]),l?0==sortColumns.length&&sortColumns.push(l):(l={columnId:t.id,sortAsc:t.defaultSortAsc},sortColumns.push(l))),setSortColumns(sortColumns),options.multiColumnSort?trigger(self.onSort,{multiColumnSort:!0,sortCols:$.map(sortColumns,(function(e){return{sortCol:columns[getColumnIndex(e.columnId)],sortAsc:e.sortAsc}}))},e):trigger(self.onSort,{multiColumnSort:!1,sortCol:sortColumns.length>0?t:null,sortAsc:!(sortColumns.length>0)||sortColumns[0].sortAsc},e)}}}}))}function setupColumnReorder(){$headers.filter(\":ui-sortable\").sortable(\"destroy\"),$headers.sortable({containment:\"parent\",distance:3,axis:\"x\",cursor:\"default\",tolerance:\"intersection\",helper:\"clone\",placeholder:\"slick-sortable-placeholder ui-state-default slick-header-column\",start:function(e,o){o.placeholder.width(o.helper.outerWidth()-headerColumnWidthDiff),$(o.helper).addClass(\"slick-header-column-active\")},beforeStop:function(e,o){$(o.helper).removeClass(\"slick-header-column-active\")},stop:function(e){if(getEditorLock().commitCurrentEdit()){for(var o=$headers.sortable(\"toArray\"),t=[],l=0;l<o.length;l++)t.push(columns[getColumnIndex(o[l].replace(uid,\"\"))]);setColumns(t),trigger(self.onColumnsReordered,{}),e.stopPropagation(),setupColumnResize()}else $(this).sortable(\"cancel\")}})}function setupColumnResize(){var e,o,t,l,n,r,i,s;(l=$headers.children()).find(\".slick-resizable-handle\").remove(),l.each((function(e,o){e>=columns.length||columns[e].resizable&&(void 0===i&&(i=e),s=e)})),void 0!==i&&l.each((function(a,c){a>=columns.length||a<i||options.forceFitColumns&&a>=s||($(c),$(\"<div class='slick-resizable-handle' />\").appendTo(c).on(\"dragstart\",(function(i,s){if(!getEditorLock().commitCurrentEdit())return!1;t=i.pageX,$(this).parent().addClass(\"slick-header-column-active\");var c=null,d=null;if(l.each((function(e,o){e>=columns.length||(columns[e].previousWidth=$(o).outerWidth())})),options.forceFitColumns)for(c=0,d=0,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(null!==d&&(o.maxWidth?d+=o.maxWidth-o.previousWidth:d=null),c+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));var u=0,h=0;for(e=0;e<=a;e++)(o=columns[e]).resizable&&(null!==h&&(o.maxWidth?h+=o.maxWidth-o.previousWidth:h=null),u+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));null===c&&(c=1e5),null===u&&(u=1e5),null===d&&(d=1e5),null===h&&(h=1e5),r=t+Math.min(c,h),n=t-Math.min(u,d)})).on(\"drag\",(function(l,i){columnResizeDragging=!0;var s,c,d=Math.min(r,Math.max(n,l.pageX))-t;if(d<0){for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0))}else{for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0))}applyColumnHeaderWidths(),options.syncColumnCellResize&&applyColumnWidths()})).on(\"dragend\",(function(t,n){var r;for($(this).parent().removeClass(\"slick-header-column-active\"),e=0;e<columns.length;e++)o=columns[e],r=$(l[e]).outerWidth(),o.previousWidth!==r&&o.rerenderOnResize&&invalidateAllRows();updateCanvasWidth(!0),render(),trigger(self.onColumnsResized,{}),setTimeout((function(){columnResizeDragging=!1}),300)})))}))}function getVBoxDelta(e){var o=0;return $.each([\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],(function(t,l){o+=parseFloat(e.css(l))||0})),o}function measureCellPaddingAndBorder(){var e,o=[\"borderLeftWidth\",\"borderRightWidth\",\"paddingLeft\",\"paddingRight\"],t=[\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],l=$.fn.jquery.split(\".\");jQueryNewWidthBehaviour=1==l[0]&&l[1]>=8||l[0]>=2,e=$(\"<div class='ui-state-default slick-header-column' style='visibility:hidden'>-</div>\").appendTo($headers),headerColumnWidthDiff=headerColumnHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){headerColumnWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){headerColumnHeightDiff+=parseFloat(e.css(t))||0}))),e.remove();var n=$(\"<div class='slick-row' />\").appendTo($canvas);e=$(\"<div class='slick-cell' id='' style='visibility:hidden'>-</div>\").appendTo(n),cellWidthDiff=cellHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){cellWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){cellHeightDiff+=parseFloat(e.css(t))||0}))),n.remove(),absoluteColumnMinWidth=Math.max(headerColumnWidthDiff,cellWidthDiff)}function createCssRules(){$style=$(\"<style type='text/css' rel='stylesheet' />\").appendTo($(\"head\"));for(var e=options.rowHeight-cellHeightDiff,o=[\".\"+uid+\" .slick-header-column { left: 1000px; }\",\".\"+uid+\" .slick-top-panel { height:\"+options.topPanelHeight+\"px; }\",\".\"+uid+\" .slick-preheader-panel { height:\"+options.preHeaderPanelHeight+\"px; }\",\".\"+uid+\" .slick-headerrow-columns { height:\"+options.headerRowHeight+\"px; }\",\".\"+uid+\" .slick-footerrow-columns { height:\"+options.footerRowHeight+\"px; }\",\".\"+uid+\" .slick-cell { height:\"+e+\"px; }\",\".\"+uid+\" .slick-row { height:\"+options.rowHeight+\"px; }\"],t=0;t<columns.length;t++)o.push(\".\"+uid+\" .l\"+t+\" { }\"),o.push(\".\"+uid+\" .r\"+t+\" { }\");$style[0].styleSheet?$style[0].styleSheet.cssText=o.join(\" \"):$style[0].appendChild(document.createTextNode(o.join(\" \")))}function getColumnCssRules(e){var o;if(!stylesheet){var t=document.styleSheets;for(o=0;o<t.length;o++)if((t[o].ownerNode||t[o].owningElement)==$style[0]){stylesheet=t[o];break}if(!stylesheet)throw new Error(\"Cannot find stylesheet.\");columnCssRulesL=[],columnCssRulesR=[];var l,n,r=stylesheet.cssRules||stylesheet.rules;for(o=0;o<r.length;o++){var i=r[o].selectorText;(l=/\\.l\\d+/.exec(i))?(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesL[n]=r[o]):(l=/\\.r\\d+/.exec(i))&&(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesR[n]=r[o])}}return{left:columnCssRulesL[e],right:columnCssRulesR[e]}}function removeCssRules(){$style.remove(),stylesheet=null}function destroy(){getEditorLock().cancelCurrentEdit(),trigger(self.onBeforeDestroy,{});for(var e=plugins.length;e--;)unregisterPlugin(plugins[e]);options.enableColumnReorder&&$headers.filter(\":ui-sortable\").sortable(\"destroy\"),unbindAncestorScrollEvents(),$container.off(\".slickgrid\"),removeCssRules(),$canvas.off(\"draginit dragstart dragend drag\"),$container.empty().removeClass(uid)}function trigger(e,o,t){return t=t||new Slick.EventData,(o=o||{}).grid=self,e.notify(o,t,self)}function getEditorLock(){return options.editorLock}function getEditController(){return editController}function getColumnIndex(e){return columnsById[e]}function autosizeColumns(){var e,o,t,l=[],n=0,r=0,i=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW;for(e=0;e<columns.length;e++)o=columns[e],l.push(o.width),r+=o.width,o.resizable&&(n+=o.width-Math.max(o.minWidth,absoluteColumnMinWidth));for(t=r;r>i&&n;){var s=(r-i)/n;for(e=0;e<columns.length&&r>i;e++){o=columns[e];var a=l[e];if(!(!o.resizable||a<=o.minWidth||a<=absoluteColumnMinWidth)){var c=Math.max(o.minWidth,absoluteColumnMinWidth),d=Math.floor(s*(a-c))||1;r-=d=Math.min(d,a-c),n-=d,l[e]-=d}}if(t<=r)break;t=r}for(t=r;r<i;){var u=i/r;for(e=0;e<columns.length&&r<i;e++){o=columns[e];var h,p=l[e];r+=h=!o.resizable||o.maxWidth<=p?0:Math.min(Math.floor(u*p)-p,o.maxWidth-p||1e6)||1,l[e]+=r<=i?h:0}if(t>=r)break;t=r}var g=!1;for(e=0;e<columns.length;e++)columns[e].rerenderOnResize&&columns[e].width!=l[e]&&(g=!0),columns[e].width=l[e];applyColumnHeaderWidths(),updateCanvasWidth(!0),trigger(self.onAutosizeColumns,{columns}),g&&(invalidateAllRows(),render())}function applyColumnHeaderWidths(){if(initialized){for(var e,o=0,t=$headers.children(),l=columns.length;o<l;o++)e=$(t[o]),jQueryNewWidthBehaviour?e.outerWidth()!==columns[o].width&&e.outerWidth(columns[o].width):e.width()!==columns[o].width-headerColumnWidthDiff&&e.width(columns[o].width-headerColumnWidthDiff);updateColumnCaches()}}function applyColumnWidths(){for(var e,o,t=0,l=0;l<columns.length;l++)e=columns[l].width,(o=getColumnCssRules(l)).left.style.left=t+\"px\",o.right.style.right=canvasWidth-t-e+\"px\",t+=columns[l].width}function setSortColumn(e,o){setSortColumns([{columnId:e,sortAsc:o}])}function setSortColumns(e){sortColumns=e;var o=options.numberedMultiColumnSort&&sortColumns.length>1,t=$headers.children();t.removeClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").removeClass(\"slick-sort-indicator-asc slick-sort-indicator-desc\"),t.find(\".slick-sort-indicator-numbered\").text(\"\"),$.each(sortColumns,(function(e,l){null==l.sortAsc&&(l.sortAsc=!0);var n=getColumnIndex(l.columnId);null!=n&&(t.eq(n).addClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").addClass(l.sortAsc?\"slick-sort-indicator-asc\":\"slick-sort-indicator-desc\"),o&&t.eq(n).find(\".slick-sort-indicator-numbered\").text(e+1))}))}function getSortColumns(){return sortColumns}function handleSelectedRangesChanged(e,o){selectedRows=[];for(var t={},l=0;l<o.length;l++)for(var n=o[l].fromRow;n<=o[l].toRow;n++){t[n]||(selectedRows.push(n),t[n]={});for(var r=o[l].fromCell;r<=o[l].toCell;r++)canCellBeSelected(n,r)&&(t[n][columns[r].id]=options.selectedCellCssClass)}setCellCssStyles(options.selectedCellCssClass,t),trigger(self.onSelectedRowsChanged,{rows:getSelectedRows()},e)}function getColumns(){return columns}function updateColumnCaches(){columnPosLeft=[],columnPosRight=[];for(var e=0,o=0,t=columns.length;o<t;o++)columnPosLeft[o]=e,columnPosRight[o]=e+columns[o].width,e+=columns[o].width}function setColumns(e){columns=e,columnsById={};for(var o=0;o<columns.length;o++){var t=columns[o]=$.extend({},columnDefaults,columns[o]);columnsById[t.id]=o,t.minWidth&&t.width<t.minWidth&&(t.width=t.minWidth),t.maxWidth&&t.width>t.maxWidth&&(t.width=t.maxWidth)}updateColumnCaches(),initialized&&(invalidateAllRows(),createColumnHeaders(),removeCssRules(),createCssRules(),resizeCanvas(),applyColumnWidths(),handleScroll())}function getOptions(){return options}function setOptions(e,o){getEditorLock().commitCurrentEdit()&&(makeActiveCellNormal(),options.enableAddRow!==e.enableAddRow&&invalidateRow(getDataLength()),options=$.extend(options,e),validateAndEnforceOptions(),$viewport.css(\"overflow-y\",options.autoHeight?\"hidden\":\"auto\"),o||render())}function validateAndEnforceOptions(){options.autoHeight&&(options.leaveSpaceForNewRows=!1)}function setData(e,o){data=e,invalidateAllRows(),updateRowCount(),o&&scrollTo(0)}function getData(){return data}function getDataLength(){return data.getLength?data.getLength():data.length}function getDataLengthIncludingAddNew(){return getDataLength()+(options.enableAddRow&&(!pagingActive||pagingIsLastPage)?1:0)}function getDataItem(e){return data.getItem?data.getItem(e):data[e]}function getTopPanel(){return $topPanel[0]}function setTopPanelVisibility(e){options.showTopPanel!=e&&(options.showTopPanel=e,e?$topPanelScroller.slideDown(\"fast\",resizeCanvas):$topPanelScroller.slideUp(\"fast\",resizeCanvas))}function setHeaderRowVisibility(e){options.showHeaderRow!=e&&(options.showHeaderRow=e,e?$headerRowScroller.slideDown(\"fast\",resizeCanvas):$headerRowScroller.slideUp(\"fast\",resizeCanvas))}function setFooterRowVisibility(e){options.showFooterRow!=e&&(options.showFooterRow=e,e?$footerRowScroller.slideDown(\"fast\",resizeCanvas):$footerRowScroller.slideUp(\"fast\",resizeCanvas))}function setPreHeaderPanelVisibility(e){options.showPreHeaderPanel!=e&&(options.showPreHeaderPanel=e,e?$preHeaderPanelScroller.slideDown(\"fast\",resizeCanvas):$preHeaderPanelScroller.slideUp(\"fast\",resizeCanvas))}function getContainerNode(){return $container.get(0)}function getRowTop(e){return options.rowHeight*e-offset}function getRowFromPosition(e){return Math.floor((e+offset)/options.rowHeight)}function scrollTo(e){e=Math.max(e,0),e=Math.min(e,th-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0));var o=offset;page=Math.min(n-1,Math.floor(e/ph));var t=e-(offset=Math.round(page*cj));offset!=o&&(cleanupRows(getVisibleRange(t)),updateRowPositions());prevScrollTop!=t&&(vScrollDir=prevScrollTop+o<t+offset?1:-1,$viewport[0].scrollTop=lastRenderedScrollTop=scrollTop=prevScrollTop=t,trigger(self.onViewportChanged,{}))}function defaultFormatter(e,o,t,l,n,r){return null==t?\"\":(t+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}function getFormatter(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e),l=t&&t.columns&&(t.columns[o.id]||t.columns[getColumnIndex(o.id)]);return l&&l.formatter||t&&t.formatter||o.formatter||options.formatterFactory&&options.formatterFactory.getFormatter(o)||options.defaultFormatter}function getEditor(e,o){var t=columns[o],l=data.getItemMetadata&&data.getItemMetadata(e),n=l&&l.columns;return n&&n[t.id]&&void 0!==n[t.id].editor?n[t.id].editor:n&&n[o]&&void 0!==n[o].editor?n[o].editor:t.editor||options.editorFactory&&options.editorFactory.getEditor(t)}function getDataItemValueForColumn(e,o){return options.dataItemColumnValueExtractor?options.dataItemColumnValueExtractor(e,o):e[o.field]}function appendRowHtml(e,o,t,l){var n=getDataItem(o),r=\"slick-row\"+(o<l&&!n?\" loading\":\"\")+(o===activeRow&&options.showCellSelection?\" active\":\"\")+(o%2==1?\" odd\":\" even\");n||(r+=\" \"+options.addNewRowCssClass);var i,s,a=data.getItemMetadata&&data.getItemMetadata(o);a&&a.cssClasses&&(r+=\" \"+a.cssClasses),e.push(\"<div class='ui-widget-content \"+r+\"' style='top:\"+getRowTop(o)+\"px'>\");for(var c=0,d=columns.length;c<d;c++){if(s=columns[c],i=1,a&&a.columns){var u=a.columns[s.id]||a.columns[c];\"*\"===(i=u&&u.colspan||1)&&(i=d-c)}if(columnPosRight[Math.min(d-1,c+i-1)]>t.leftPx){if(columnPosLeft[c]>t.rightPx)break;appendCellHtml(e,o,c,i,n)}i>1&&(c+=i-1)}e.push(\"</div>\")}function appendCellHtml(e,o,t,l,n){var r=columns[t],i=\"slick-cell l\"+t+\" r\"+Math.min(columns.length-1,t+l-1)+(r.cssClass?\" \"+r.cssClass:\"\");for(var s in o===activeRow&&t===activeCell&&options.showCellSelection&&(i+=\" active\"),cellCssClasses)cellCssClasses[s][o]&&cellCssClasses[s][o][r.id]&&(i+=\" \"+cellCssClasses[s][o][r.id]);var a=null,c=\"\";n&&(a=getDataItemValueForColumn(n,r),null==(c=getFormatter(o,r)(o,t,a,r,n,self))&&(c=\"\"));var d=trigger(self.onBeforeAppendCell,{row:o,cell:t,value:a,dataContext:n})||\"\";d+=c&&c.addClasses?(d?\" \":\"\")+c.addClasses:\"\",e.push(\"<div class='\"+i+(d?\" \"+d:\"\")+\"'>\"),n&&e.push(\"[object Object]\"!==Object.prototype.toString.call(c)?c:c.text),e.push(\"</div>\"),rowsCache[o].cellRenderQueue.push(t),rowsCache[o].cellColSpans[t]=l}function cleanupRows(e){for(var o in rowsCache)(o=parseInt(o,10))!==activeRow&&(o<e.top||o>e.bottom)&&removeRowFromCache(o);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function invalidate(){updateRowCount(),invalidateAllRows(),render()}function invalidateAllRows(){for(var e in currentEditor&&makeActiveCellNormal(),rowsCache)removeRowFromCache(e);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function queuePostProcessedRowForCleanup(e,o,t){for(var l in postProcessgroupId++,o)o.hasOwnProperty(l)&&postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e.cellNodesByColumnIdx[0|l],columnIdx:0|l,rowIdx:t});postProcessedCleanupQueue.push({actionType:\"R\",groupId:postProcessgroupId,node:e.rowNode}),$(e.rowNode).detach()}function queuePostProcessedCellForCleanup(e,o,t){postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e,columnIdx:o,rowIdx:t}),$(e).detach()}function removeRowFromCache(e){var o=rowsCache[e];o&&(o.rowNode&&(rowNodeFromLastMouseWheelEvent===o.rowNode?(o.rowNode.style.display=\"none\",zombieRowNodeFromLastMouseWheelEvent=rowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent=o,zombieRowPostProcessedFromLastMouseWheelEvent=postProcessedRows[e]):options.enableAsyncPostRenderCleanup&&postProcessedRows[e]?queuePostProcessedRowForCleanup(o,postProcessedRows[e],e):$canvas[0].removeChild(o.rowNode)),delete rowsCache[e],delete postProcessedRows[e],renderedRows--,counter_rows_removed++)}function invalidateRows(e){var o,t;if(e&&e.length){for(vScrollDir=0,t=e.length,o=0;o<t;o++)currentEditor&&activeRow===e[o]&&makeActiveCellNormal(),rowsCache[e[o]]&&removeRowFromCache(e[o]);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}}function invalidateRow(e){(e||0===e)&&invalidateRows([e])}function applyFormatResultToCellNode(e,o,t){null==e&&(e=\"\"),\"[object Object]\"===Object.prototype.toString.call(e)?(o.innerHTML=e.text,e.removeClasses&&!t&&$(o).removeClass(e.removeClasses),e.addClasses&&$(o).addClass(e.addClasses)):o.innerHTML=e}function updateCell(e,o){var t=getCellNode(e,o);if(t){var l=columns[o],n=getDataItem(e);if(currentEditor&&activeRow===e&&activeCell===o)currentEditor.loadValue(n);else applyFormatResultToCellNode(n?getFormatter(e,l)(e,o,getDataItemValueForColumn(n,l),l,n,self):\"\",t),invalidatePostProcessingResults(e)}}function updateRow(e){var o=rowsCache[e];if(o){ensureCellNodesInRowsCache(e);var t=getDataItem(e);for(var l in o.cellNodesByColumnIdx)if(o.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=o.cellNodesByColumnIdx[l];e===activeRow&&l===activeCell&&currentEditor?currentEditor.loadValue(t):t?applyFormatResultToCellNode(getFormatter(e,n)(e,l,getDataItemValueForColumn(t,n),n,t,self),r):r.innerHTML=\"\"}invalidatePostProcessingResults(e)}}function getViewportHeight(){return parseFloat($.css($container[0],\"height\",!0))-parseFloat($.css($container[0],\"paddingTop\",!0))-parseFloat($.css($container[0],\"paddingBottom\",!0))-parseFloat($.css($headerScroller[0],\"height\"))-getVBoxDelta($headerScroller)-(options.showTopPanel?options.topPanelHeight+getVBoxDelta($topPanelScroller):0)-(options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0)-(options.createFooterRow&&options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0)-(options.createPreHeaderPanel&&options.showPreHeaderPanel?options.preHeaderPanelHeight+getVBoxDelta($preHeaderPanelScroller):0)}function resizeCanvas(){initialized&&(viewportH=options.autoHeight?options.rowHeight*getDataLengthIncludingAddNew():getViewportHeight(),numVisibleRows=Math.ceil(viewportH/options.rowHeight),viewportW=parseFloat($.css($container[0],\"width\",!0)),options.autoHeight||$viewport.height(viewportH),scrollbarDimensions&&scrollbarDimensions.width||(scrollbarDimensions=measureScrollbar()),options.forceFitColumns&&autosizeColumns(),updateRowCount(),handleScroll(),lastRenderedScrollLeft=-1,render())}function updatePagingStatusFromView(e){pagingActive=0!==e.pageSize,pagingIsLastPage=e.pageNum==e.totalPages-1}function updateRowCount(){if(initialized){var e=getDataLength(),o=getDataLengthIncludingAddNew()+(options.leaveSpaceForNewRows?numVisibleRows-1:0),t=viewportHasVScroll;viewportHasVScroll=options.alwaysShowVerticalScroll||!options.autoHeight&&o*options.rowHeight>viewportH,viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width,makeActiveCellNormal();var l=e-1;for(var r in rowsCache)r>l&&removeRowFromCache(r);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup(),activeCellNode&&activeRow>l&&resetActiveCell();var i=h;(th=Math.max(options.rowHeight*o,viewportH-scrollbarDimensions.height))<maxSupportedCssHeight?(h=ph=th,n=1,cj=0):(ph=(h=maxSupportedCssHeight)/100,n=Math.floor(th/ph),cj=(th-h)/(n-1)),h!==i&&($canvas.css(\"height\",h),scrollTop=$viewport[0].scrollTop);var s=scrollTop+offset<=th-viewportH;0==th||0==scrollTop?page=offset=0:scrollTo(s?scrollTop+offset:th-viewportH),h!=i&&options.autoHeight&&resizeCanvas(),options.forceFitColumns&&t!=viewportHasVScroll&&autosizeColumns(),updateCanvasWidth(!1)}}function getVisibleRange(e,o){return null==e&&(e=scrollTop),null==o&&(o=scrollLeft),{top:getRowFromPosition(e),bottom:getRowFromPosition(e+viewportH)+1,leftPx:o,rightPx:o+viewportW}}function getRenderedRange(e,o){var t=getVisibleRange(e,o),l=Math.round(viewportH/options.rowHeight),n=options.minRowBuffer;return-1==vScrollDir?(t.top-=l,t.bottom+=n):1==vScrollDir?(t.top-=n,t.bottom+=l):(t.top-=n,t.bottom+=n),t.top=Math.max(0,t.top),t.bottom=Math.min(getDataLengthIncludingAddNew()-1,t.bottom),t.leftPx-=viewportW,t.rightPx+=viewportW,t.leftPx=Math.max(0,t.leftPx),t.rightPx=Math.min(canvasWidth,t.rightPx),t}function ensureCellNodesInRowsCache(e){var o=rowsCache[e];if(o&&o.cellRenderQueue.length)for(var t=o.rowNode.lastChild;o.cellRenderQueue.length;){var l=o.cellRenderQueue.pop();o.cellNodesByColumnIdx[l]=t,t=t.previousSibling}}function cleanUpCells(e,o){var t,l,n=rowsCache[o],r=[];for(var i in n.cellNodesByColumnIdx)if(n.cellNodesByColumnIdx.hasOwnProperty(i)){i|=0;var s=n.cellColSpans[i];(columnPosLeft[i]>e.rightPx||columnPosRight[Math.min(columns.length-1,i+s-1)]<e.leftPx)&&(o==activeRow&&i==activeCell||r.push(i))}for(postProcessgroupId++;null!=(t=r.pop());)l=n.cellNodesByColumnIdx[t],options.enableAsyncPostRenderCleanup&&postProcessedRows[o]&&postProcessedRows[o][t]?queuePostProcessedCellForCleanup(l,t,o):n.rowNode.removeChild(l),delete n.cellColSpans[t],delete n.cellNodesByColumnIdx[t],postProcessedRows[o]&&delete postProcessedRows[o][t]}function cleanUpAndRenderCells(e){for(var o,t,l,n=[],r=[],i=e.top,s=e.bottom;i<=s;i++)if(o=rowsCache[i]){ensureCellNodesInRowsCache(i),cleanUpCells(e,i),t=0;var a=data.getItemMetadata&&data.getItemMetadata(i);a=a&&a.columns;for(var c=getDataItem(i),d=0,u=columns.length;d<u&&!(columnPosLeft[d]>e.rightPx);d++)if(null==(l=o.cellColSpans[d])){if(l=1,a){var h=a[columns[d].id]||a[d];\"*\"===(l=h&&h.colspan||1)&&(l=u-d)}columnPosRight[Math.min(u-1,d+l-1)]>e.leftPx&&(appendCellHtml(n,i,d,l,c),t++),d+=l>1?l-1:0}else d+=l>1?l-1:0;t&&(t,r.push(i))}if(n.length){var p,g,m=document.createElement(\"div\");for(m.innerHTML=n.join(\"\");null!=(p=r.pop());){var v;for(o=rowsCache[p];null!=(v=o.cellRenderQueue.pop());)g=m.lastChild,o.rowNode.appendChild(g),o.cellNodesByColumnIdx[v]=g}}}function renderRows(e){for(var o=$canvas[0],t=[],l=[],n=!1,r=getDataLength(),i=e.top,s=e.bottom;i<=s;i++)rowsCache[i]||(renderedRows++,l.push(i),rowsCache[i]={rowNode:null,cellColSpans:[],cellNodesByColumnIdx:[],cellRenderQueue:[]},appendRowHtml(t,i,e,r),activeCellNode&&activeRow===i&&(n=!0),counter_rows_rendered++);if(l.length){var a=document.createElement(\"div\");a.innerHTML=t.join(\"\");for(i=0,s=l.length;i<s;i++)rowsCache[l[i]].rowNode=o.appendChild(a.firstChild);n&&(activeCellNode=getCellNode(activeRow,activeCell))}}function startPostProcessing(){options.enableAsyncPostRender&&(clearTimeout(h_postrender),h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}function startPostProcessingCleanup(){options.enableAsyncPostRenderCleanup&&(clearTimeout(h_postrenderCleanup),h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay))}function invalidatePostProcessingResults(e){for(var o in postProcessedRows[e])postProcessedRows[e].hasOwnProperty(o)&&(postProcessedRows[e][o]=\"C\");postProcessFromRow=Math.min(postProcessFromRow,e),postProcessToRow=Math.max(postProcessToRow,e),startPostProcessing()}function updateRowPositions(){for(var e in rowsCache)rowsCache[e].rowNode.style.top=getRowTop(e)+\"px\"}function render(){if(initialized){scrollThrottle.dequeue();var e=getVisibleRange(),o=getRenderedRange();cleanupRows(o),lastRenderedScrollLeft!=scrollLeft&&cleanUpAndRenderCells(o),renderRows(o),postProcessFromRow=e.top,postProcessToRow=Math.min(getDataLengthIncludingAddNew()-1,e.bottom),startPostProcessing(),lastRenderedScrollTop=scrollTop,lastRenderedScrollLeft=scrollLeft,h_render=null,trigger(self.onRendered,{startRow:e.top,endRow:e.bottom,grid:self})}}function handleHeaderScroll(){handleElementScroll($headerScroller[0])}function handleHeaderRowScroll(){handleElementScroll($headerRowScroller[0])}function handleFooterRowScroll(){handleElementScroll($footerRowScroller[0])}function handlePreHeaderPanelScroll(){handleElementScroll($preHeaderPanelScroller[0])}function handleElementScroll(e){var o=e.scrollLeft;o!=$viewport[0].scrollLeft&&($viewport[0].scrollLeft=o)}function handleScroll(){scrollTop=$viewport[0].scrollTop,scrollLeft=$viewport[0].scrollLeft;var e=Math.abs(scrollTop-prevScrollTop),o=Math.abs(scrollLeft-prevScrollLeft);if(o&&(prevScrollLeft=scrollLeft,$headerScroller[0].scrollLeft=scrollLeft,$topPanelScroller[0].scrollLeft=scrollLeft,$headerRowScroller[0].scrollLeft=scrollLeft,options.createFooterRow&&($footerRowScroller[0].scrollLeft=scrollLeft),options.createPreHeaderPanel&&($preHeaderPanelScroller[0].scrollLeft=scrollLeft)),e)if(vScrollDir=prevScrollTop<scrollTop?1:-1,prevScrollTop=scrollTop,e<viewportH)scrollTo(scrollTop+offset);else{var t=offset;page=h==viewportH?0:Math.min(n-1,Math.floor(scrollTop*((th-viewportH)/(h-viewportH))*(1/ph))),t!=(offset=Math.round(page*cj))&&invalidateAllRows()}if(o||e){var l=Math.abs(lastRenderedScrollLeft-scrollLeft),r=Math.abs(lastRenderedScrollTop-scrollTop);(l>20||r>20)&&(options.forceSyncScrolling||r<viewportH&&l<viewportW?render():scrollThrottle.enqueue(),trigger(self.onViewportChanged,{}))}trigger(self.onScroll,{scrollLeft,scrollTop})}function ActionThrottle(e,o){var t=!1,l=!1;function n(){l=!1}function r(){t=!0,setTimeout(i,o),e()}function i(){l?(n(),r()):t=!1}return{enqueue:function(){t?l=!0:r()},dequeue:n}}function asyncPostProcessRows(){for(var e=getDataLength();postProcessFromRow<=postProcessToRow;){var o=vScrollDir>=0?postProcessFromRow++:postProcessToRow--,t=rowsCache[o];if(t&&!(o>=e)){for(var l in postProcessedRows[o]||(postProcessedRows[o]={}),ensureCellNodesInRowsCache(o),t.cellNodesByColumnIdx)if(t.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=postProcessedRows[o][l];if(n.asyncPostRender&&\"R\"!==r){var i=t.cellNodesByColumnIdx[l];i&&n.asyncPostRender(i,o,getDataItem(o),n,\"C\"===r),postProcessedRows[o][l]=\"R\"}}return void(h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}}}function asyncPostProcessCleanupRows(){if(postProcessedCleanupQueue.length>0){for(var e=postProcessedCleanupQueue[0].groupId;postProcessedCleanupQueue.length>0&&postProcessedCleanupQueue[0].groupId==e;){var o=postProcessedCleanupQueue.shift();if(\"R\"==o.actionType&&$(o.node).remove(),\"C\"==o.actionType){var t=columns[o.columnIdx];t.asyncPostRenderCleanup&&o.node&&t.asyncPostRenderCleanup(o.node,o.rowIdx,t)}}h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay)}}function updateCellCssStylesOnRenderedRows(e,o){var t,l,n,r;for(var i in rowsCache){if(r=o&&o[i],n=e&&e[i],r)for(l in r)n&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).removeClass(r[l]);if(n)for(l in n)r&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).addClass(n[l])}}function addCellCssStyles(e,o){if(cellCssClasses[e])throw new Error(\"addCellCssStyles: cell CSS hash with key '\"+e+\"' already exists.\");cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,null),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function removeCellCssStyles(e){cellCssClasses[e]&&(updateCellCssStylesOnRenderedRows(null,cellCssClasses[e]),delete cellCssClasses[e],trigger(self.onCellCssStylesChanged,{key:e,hash:null,grid:self}))}function setCellCssStyles(e,o){var t=cellCssClasses[e];cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,t),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function getCellCssStyles(e){return cellCssClasses[e]}function flashCell(e,o,t){if(t=t||100,rowsCache[e]){var l=$(getCellNode(e,o)),n=function(e){e&&setTimeout((function(){l.queue((function(){l.toggleClass(options.cellFlashingCssClass).dequeue(),n(e-1)}))}),t)};n(4)}}function handleMouseWheel(e){var o=$(e.target).closest(\".slick-row\")[0];o!=rowNodeFromLastMouseWheelEvent&&(zombieRowNodeFromLastMouseWheelEvent&&zombieRowNodeFromLastMouseWheelEvent!=o&&(options.enableAsyncPostRenderCleanup&&zombieRowPostProcessedFromLastMouseWheelEvent?queuePostProcessedRowForCleanup(zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent):$canvas[0].removeChild(zombieRowNodeFromLastMouseWheelEvent),zombieRowNodeFromLastMouseWheelEvent=null,zombieRowCacheFromLastMouseWheelEvent=null,zombieRowPostProcessedFromLastMouseWheelEvent=null,options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()),rowNodeFromLastMouseWheelEvent=o)}function handleDragInit(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragInit,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDragStart(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragStart,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDrag(e,o){return trigger(self.onDrag,o,e)}function handleDragEnd(e,o){trigger(self.onDragEnd,o,e)}function handleKeyDown(e){trigger(self.onKeyDown,{row:activeRow,cell:activeCell},e);var o=e.isImmediatePropagationStopped(),t=Slick.keyCode;if(!o&&!e.shiftKey&&!e.altKey){if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;e.which==t.HOME?o=e.ctrlKey?navigateTop():navigateRowStart():e.which==t.END&&(o=e.ctrlKey?navigateBottom():navigateRowEnd())}if(!o)if(e.shiftKey||e.altKey||e.ctrlKey)e.which!=t.TAB||!e.shiftKey||e.ctrlKey||e.altKey||(o=navigatePrev());else{if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;if(e.which==t.ESCAPE){if(!getEditorLock().isActive())return;cancelEditAndSetFocus()}else e.which==t.PAGE_DOWN?(navigatePageDown(),o=!0):e.which==t.PAGE_UP?(navigatePageUp(),o=!0):e.which==t.LEFT?o=navigateLeft():e.which==t.RIGHT?o=navigateRight():e.which==t.UP?o=navigateUp():e.which==t.DOWN?o=navigateDown():e.which==t.TAB?o=navigateNext():e.which==t.ENTER&&(options.editable&&(currentEditor?activeRow===getDataLength()?navigateDown():commitEditAndSetFocus():getEditorLock().commitCurrentEdit()&&makeActiveCellEditable(void 0,void 0,e)),o=!0)}if(o){e.stopPropagation(),e.preventDefault();try{e.originalEvent.keyCode=0}catch(e){}}}function handleClick(e){currentEditor||(e.target!=document.activeElement||$(e.target).hasClass(\"slick-cell\"))&&setFocus();var o=getCellFromEvent(e);if(o&&(null===currentEditor||activeRow!=o.row||activeCell!=o.cell)&&(trigger(self.onClick,{row:o.row,cell:o.cell},e),!e.isImmediatePropagationStopped()&&canCellBeActive(o.row,o.cell)&&(!getEditorLock().isActive()||getEditorLock().commitCurrentEdit()))){scrollRowIntoView(o.row,!1);var t=e.target&&e.target.className===Slick.preClickClassName,l=columns[o.cell],n=!!(options.editable&&l&&l.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(getCellNode(o.row,o.cell),null,t,n,e)}}function handleContextMenu(e){var o=$(e.target).closest(\".slick-cell\",$canvas);0!==o.length&&(activeCellNode===o[0]&&null!==currentEditor||trigger(self.onContextMenu,{},e))}function handleDblClick(e){var o=getCellFromEvent(e);!o||null!==currentEditor&&activeRow==o.row&&activeCell==o.cell||(trigger(self.onDblClick,{row:o.row,cell:o.cell},e),e.isImmediatePropagationStopped()||options.editable&&gotoCell(o.row,o.cell,!0,e))}function handleHeaderMouseEnter(e){trigger(self.onHeaderMouseEnter,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderMouseLeave(e){trigger(self.onHeaderMouseLeave,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderContextMenu(e){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");trigger(self.onHeaderContextMenu,{column:t},e)}function handleHeaderClick(e){if(!columnResizeDragging){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");t&&trigger(self.onHeaderClick,{column:t},e)}}function handleMouseEnter(e){trigger(self.onMouseEnter,{},e)}function handleMouseLeave(e){trigger(self.onMouseLeave,{},e)}function cellExists(e,o){return!(e<0||e>=getDataLength()||o<0||o>=columns.length)}function getCellFromPoint(e,o){for(var t=getRowFromPosition(o),l=0,n=0,r=0;r<columns.length&&n<e;r++)n+=columns[r].width,l++;return l<0&&(l=0),{row:t,cell:l-1}}function getCellFromNode(e){var o=/l\\d+/.exec(e.className);if(!o)throw new Error(\"getCellFromNode: cannot get cell - \"+e.className);return parseInt(o[0].substr(1,o[0].length-1),10)}function getRowFromNode(e){for(var o in rowsCache)if(rowsCache[o].rowNode===e)return 0|o;return null}function getCellFromEvent(e){var o=$(e.target).closest(\".slick-cell\",$canvas);if(!o.length)return null;var t=getRowFromNode(o[0].parentNode),l=getCellFromNode(o[0]);return null==t||null==l?null:{row:t,cell:l}}function getCellNodeBox(e,o){if(!cellExists(e,o))return null;for(var t=getRowTop(e),l=t+options.rowHeight-1,n=0,r=0;r<o;r++)n+=columns[r].width;return{top:t,left:n,bottom:l,right:n+columns[o].width}}function resetActiveCell(){setActiveCellInternal(null,!1)}function setFocus(){-1==tabbingDirection?$focusSink[0].focus():$focusSink2[0].focus()}function scrollCellIntoView(e,o,t){scrollRowIntoView(e,t);var l=getColspan(e,o);internalScrollColumnIntoView(columnPosLeft[o],columnPosRight[o+(l>1?l-1:0)])}function internalScrollColumnIntoView(e,o){var t=scrollLeft+viewportW;e<scrollLeft?($viewport.scrollLeft(e),handleScroll(),render()):o>t&&($viewport.scrollLeft(Math.min(e,o-$viewport[0].clientWidth)),handleScroll(),render())}function scrollColumnIntoView(e){internalScrollColumnIntoView(columnPosLeft[e],columnPosRight[e])}function setActiveCellInternal(e,o,t,l,n){null!==activeCellNode&&(makeActiveCellNormal(),$(activeCellNode).removeClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).removeClass(\"active\"));null!=(activeCellNode=e)?(activeRow=getRowFromNode(activeCellNode.parentNode),activeCell=activePosX=getCellFromNode(activeCellNode),null==o&&(o=activeRow==getDataLength()||options.autoEdit),options.showCellSelection&&($(activeCellNode).addClass(\"active\"),$(rowsCache[activeRow].rowNode).addClass(\"active\")),options.editable&&o&&isCellPotentiallyEditable(activeRow,activeCell)&&(clearTimeout(h_editorLoader),options.asyncEditorLoading?h_editorLoader=setTimeout((function(){makeActiveCellEditable(void 0,t,n)}),options.asyncEditorLoadDelay):makeActiveCellEditable(void 0,t,n))):activeRow=activeCell=null,l||trigger(self.onActiveCellChanged,getActiveCell())}function clearTextSelection(){if(document.selection&&document.selection.empty)try{document.selection.empty()}catch(e){}else if(window.getSelection){var e=window.getSelection();e&&e.removeAllRanges&&e.removeAllRanges()}}function isCellPotentiallyEditable(e,o){var t=getDataLength();return!(e<t&&!getDataItem(e))&&(!(columns[o].cannotTriggerInsert&&e>=t)&&!!getEditor(e,o))}function makeActiveCellNormal(){if(currentEditor){if(trigger(self.onBeforeCellEditorDestroy,{editor:currentEditor}),currentEditor.destroy(),currentEditor=null,activeCellNode){var e=getDataItem(activeRow);if($(activeCellNode).removeClass(\"editable invalid\"),e){var o=columns[activeCell];applyFormatResultToCellNode(getFormatter(activeRow,o)(activeRow,activeCell,getDataItemValueForColumn(e,o),o,e,self),activeCellNode),invalidatePostProcessingResults(activeRow)}}navigator.userAgent.toLowerCase().match(/msie/)&&clearTextSelection(),getEditorLock().deactivate(editController)}}function makeActiveCellEditable(e,o,t){if(activeCellNode){if(!options.editable)throw new Error(\"Grid : makeActiveCellEditable : should never get called when options.editable is false\");if(clearTimeout(h_editorLoader),isCellPotentiallyEditable(activeRow,activeCell)){var l=columns[activeCell],n=getDataItem(activeRow);if(!1!==trigger(self.onBeforeEditCell,{row:activeRow,cell:activeCell,item:n,column:l})){getEditorLock().activate(editController),$(activeCellNode).addClass(\"editable\");var r=e||getEditor(activeRow,activeCell);e||r.suppressClearOnEdit||(activeCellNode.innerHTML=\"\"),currentEditor=new r({grid:self,gridPosition:absBox($container[0]),position:absBox(activeCellNode),container:activeCellNode,column:l,item:n||{},event:t,commitChanges:commitEditAndSetFocus,cancelChanges:cancelEditAndSetFocus}),n&&(currentEditor.loadValue(n),o&&currentEditor.preClick&&currentEditor.preClick()),serializedEditorValue=currentEditor.serializeValue(),currentEditor.position&&handleActiveCellPositionChange()}else setFocus()}}}function commitEditAndSetFocus(){getEditorLock().commitCurrentEdit()&&(setFocus(),options.autoEdit&&navigateDown())}function cancelEditAndSetFocus(){getEditorLock().cancelCurrentEdit()&&setFocus()}function absBox(e){var o={top:e.offsetTop,left:e.offsetLeft,bottom:0,right:0,width:$(e).outerWidth(),height:$(e).outerHeight(),visible:!0};o.bottom=o.top+o.height,o.right=o.left+o.width;for(var t=e.offsetParent;(e=e.parentNode)!=document.body&&null!=e;)o.visible&&e.scrollHeight!=e.offsetHeight&&\"visible\"!=$(e).css(\"overflowY\")&&(o.visible=o.bottom>e.scrollTop&&o.top<e.scrollTop+e.clientHeight),o.visible&&e.scrollWidth!=e.offsetWidth&&\"visible\"!=$(e).css(\"overflowX\")&&(o.visible=o.right>e.scrollLeft&&o.left<e.scrollLeft+e.clientWidth),o.left-=e.scrollLeft,o.top-=e.scrollTop,e===t&&(o.left+=e.offsetLeft,o.top+=e.offsetTop,t=e.offsetParent),o.bottom=o.top+o.height,o.right=o.left+o.width;return o}function getActiveCellPosition(){return absBox(activeCellNode)}function getGridPosition(){return absBox($container[0])}function handleActiveCellPositionChange(){if(activeCellNode&&(trigger(self.onActiveCellPositionChanged,{}),currentEditor)){var e=getActiveCellPosition();currentEditor.show&&currentEditor.hide&&(e.visible?currentEditor.show():currentEditor.hide()),currentEditor.position&&currentEditor.position(e)}}function getCellEditor(){return currentEditor}function getActiveCell(){return activeCellNode?{row:activeRow,cell:activeCell}:null}function getActiveCellNode(){return activeCellNode}function scrollRowIntoView(e,o){var t=e*options.rowHeight,l=(e+1)*options.rowHeight-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0);(e+1)*options.rowHeight>scrollTop+viewportH+offset?(scrollTo(o?t:l),render()):e*options.rowHeight<scrollTop+offset&&(scrollTo(o?l:t),render())}function scrollRowToTop(e){scrollTo(e*options.rowHeight),render()}function scrollPage(e){var o=e*numVisibleRows;if(scrollTo((getRowFromPosition(scrollTop)+o)*options.rowHeight),render(),options.enableCellNavigation&&null!=activeRow){var t=activeRow+o,l=getDataLengthIncludingAddNew();t>=l&&(t=l-1),t<0&&(t=0);for(var n=0,r=null,i=activePosX;n<=activePosX;)canCellBeActive(t,n)&&(r=n),n+=getColspan(t,n);null!==r?(setActiveCellInternal(getCellNode(t,r)),activePosX=i):resetActiveCell()}}function navigatePageDown(){scrollPage(1)}function navigatePageUp(){scrollPage(-1)}function navigateTop(){navigateToRow(0)}function navigateBottom(){navigateToRow(getDataLength()-1)}function navigateToRow(e){var o=getDataLength();if(!o)return!0;if(e<0?e=0:e>=o&&(e=o-1),scrollCellIntoView(e,0,!0),options.enableCellNavigation&&null!=activeRow){for(var t=0,l=null,n=activePosX;t<=activePosX;)canCellBeActive(e,t)&&(l=t),t+=getColspan(e,t);null!==l?(setActiveCellInternal(getCellNode(e,l)),activePosX=n):resetActiveCell()}return!0}function getColspan(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e);if(!t||!t.columns)return 1;var l=t.columns[columns[o].id]||t.columns[o],n=l&&l.colspan;return n=\"*\"===n?columns.length-o:n||1}function findFirstFocusableCell(e){for(var o=0;o<columns.length;){if(canCellBeActive(e,o))return o;o+=getColspan(e,o)}return null}function findLastFocusableCell(e){for(var o=0,t=null;o<columns.length;)canCellBeActive(e,o)&&(t=o),o+=getColspan(e,o);return t}function gotoRight(e,o,t){if(o>=columns.length)return null;do{o+=getColspan(e,o)}while(o<columns.length&&!canCellBeActive(e,o));return o<columns.length?{row:e,cell:o,posX:o}:null}function gotoLeft(e,o,t){if(o<=0)return null;var l=findFirstFocusableCell(e);if(null===l||l>=o)return null;for(var n,r={row:e,cell:l,posX:l};;){if(!(n=gotoRight(r.row,r.cell,r.posX)))return null;if(n.cell>=o)return r;r=n}}function gotoDown(e,o,t){for(var l,n=getDataLengthIncludingAddNew();;){if(++e>=n)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoUp(e,o,t){for(var l;;){if(--e<0)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoNext(e,o,t){if(null==e&&null==o&&canCellBeActive(e=o=t=0,o))return{row:e,cell:o,posX:o};var l=gotoRight(e,o,t);if(l)return l;var n=null,r=getDataLengthIncludingAddNew();for(e===r-1&&e--;++e<r;)if(null!==(n=findFirstFocusableCell(e)))return{row:e,cell:n,posX:n};return null}function gotoPrev(e,o,t){if(null==e&&null==o&&canCellBeActive(e=getDataLengthIncludingAddNew()-1,o=t=columns.length-1))return{row:e,cell:o,posX:o};for(var l,n;!l&&!(l=gotoLeft(e,o,t));){if(--e<0)return null;o=0,null!==(n=findLastFocusableCell(e))&&(l={row:e,cell:n,posX:n})}return l}function gotoRowStart(e,o,t){var l=findFirstFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function gotoRowEnd(e,o,t){var l=findLastFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function navigateRight(){return navigate(\"right\")}function navigateLeft(){return navigate(\"left\")}function navigateDown(){return navigate(\"down\")}function navigateUp(){return navigate(\"up\")}function navigateNext(){return navigate(\"next\")}function navigatePrev(){return navigate(\"prev\")}function navigateRowStart(){return navigate(\"home\")}function navigateRowEnd(){return navigate(\"end\")}function navigate(e){if(!options.enableCellNavigation)return!1;if(!activeCellNode&&\"prev\"!=e&&\"next\"!=e)return!1;if(!getEditorLock().commitCurrentEdit())return!0;setFocus();tabbingDirection={up:-1,down:1,left:-1,right:1,prev:-1,next:1,home:-1,end:1}[e];var o=(0,{up:gotoUp,down:gotoDown,left:gotoLeft,right:gotoRight,prev:gotoPrev,next:gotoNext,home:gotoRowStart,end:gotoRowEnd}[e])(activeRow,activeCell,activePosX);if(o){var t=o.row==getDataLength();return scrollCellIntoView(o.row,o.cell,!t&&options.emulatePagingWhenScrolling),setActiveCellInternal(getCellNode(o.row,o.cell)),activePosX=o.posX,!0}return setActiveCellInternal(getCellNode(activeRow,activeCell)),!1}function getCellNode(e,o){return rowsCache[e]?(ensureCellNodesInRowsCache(e),rowsCache[e].cellNodesByColumnIdx[o]):null}function setActiveCell(e,o,t,l,n){initialized&&(e>getDataLength()||e<0||o>=columns.length||o<0||options.enableCellNavigation&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t,l,n)))}function canCellBeActive(e,o){if(!options.enableCellNavigation||e>=getDataLengthIncludingAddNew()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.focusable)return!!t.focusable;var l=t&&t.columns;return l&&l[columns[o].id]&&void 0!==l[columns[o].id].focusable?!!l[columns[o].id].focusable:l&&l[o]&&void 0!==l[o].focusable?!!l[o].focusable:!!columns[o].focusable}function canCellBeSelected(e,o){if(e>=getDataLength()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.selectable)return!!t.selectable;var l=t&&t.columns&&(t.columns[columns[o].id]||t.columns[o]);return l&&void 0!==l.selectable?!!l.selectable:!!columns[o].selectable}function gotoCell(e,o,t,l){initialized&&(canCellBeActive(e,o)&&getEditorLock().commitCurrentEdit()&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t||e===getDataLength()||options.autoEdit,null,options.editable,l),currentEditor||setFocus()))}function commitCurrentEdit(){var e=getDataItem(activeRow),o=columns[activeCell];if(currentEditor){if(currentEditor.isValueChanged()){var t=currentEditor.validate();if(t.valid){if(activeRow<getDataLength()){var l={row:activeRow,cell:activeCell,editor:currentEditor,serializedValue:currentEditor.serializeValue(),prevSerializedValue:serializedEditorValue,execute:function(){this.editor.applyValue(e,this.serializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})},undo:function(){this.editor.applyValue(e,this.prevSerializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})}};options.editCommandHandler?(makeActiveCellNormal(),options.editCommandHandler(e,o,l)):(l.execute(),makeActiveCellNormal())}else{var n={};currentEditor.applyValue(n,currentEditor.serializeValue()),makeActiveCellNormal(),trigger(self.onAddNewRow,{item:n,column:o})}return!getEditorLock().isActive()}return $(activeCellNode).removeClass(\"invalid\"),$(activeCellNode).width(),$(activeCellNode).addClass(\"invalid\"),trigger(self.onValidationError,{editor:currentEditor,cellNode:activeCellNode,validationResults:t,row:activeRow,cell:activeCell,column:o}),currentEditor.focus(),!1}makeActiveCellNormal()}return!0}function cancelCurrentEdit(){return makeActiveCellNormal(),!0}function rowsToRanges(e){for(var o=[],t=columns.length-1,l=0;l<e.length;l++)o.push(new Slick.Range(e[l],0,e[l],t));return o}function getSelectedRows(){if(!selectionModel)throw new Error(\"Selection model is not set\");return selectedRows}function setSelectedRows(e){if(!selectionModel)throw new Error(\"Selection model is not set\");self&&self.getEditorLock&&!self.getEditorLock().isActive()&&selectionModel.setSelectedRanges(rowsToRanges(e))}this.debug=function(){var e=\"\";e+=\"\\ncounter_rows_rendered:  \"+counter_rows_rendered,e+=\"\\ncounter_rows_removed:  \"+counter_rows_removed,e+=\"\\nrenderedRows:  \"+renderedRows,e+=\"\\nnumVisibleRows:  \"+numVisibleRows,e+=\"\\nmaxSupportedCssHeight:  \"+maxSupportedCssHeight,e+=\"\\nn(umber of pages):  \"+n,e+=\"\\n(current) page:  \"+page,e+=\"\\npage height (ph):  \"+ph,e+=\"\\nvScrollDir:  \"+vScrollDir,alert(e)},this.eval=function(expr){return eval(expr)},$.extend(this,{slickGridVersion:\"2.3.23\",onScroll:new Slick.Event,onSort:new Slick.Event,onHeaderMouseEnter:new Slick.Event,onHeaderMouseLeave:new Slick.Event,onHeaderContextMenu:new Slick.Event,onHeaderClick:new Slick.Event,onHeaderCellRendered:new Slick.Event,onBeforeHeaderCellDestroy:new Slick.Event,onHeaderRowCellRendered:new Slick.Event,onFooterRowCellRendered:new Slick.Event,onBeforeHeaderRowCellDestroy:new Slick.Event,onBeforeFooterRowCellDestroy:new Slick.Event,onMouseEnter:new Slick.Event,onMouseLeave:new Slick.Event,onClick:new Slick.Event,onDblClick:new Slick.Event,onContextMenu:new Slick.Event,onKeyDown:new Slick.Event,onAddNewRow:new Slick.Event,onBeforeAppendCell:new Slick.Event,onValidationError:new Slick.Event,onViewportChanged:new Slick.Event,onColumnsReordered:new Slick.Event,onColumnsResized:new Slick.Event,onCellChange:new Slick.Event,onBeforeEditCell:new Slick.Event,onBeforeCellEditorDestroy:new Slick.Event,onBeforeDestroy:new Slick.Event,onActiveCellChanged:new Slick.Event,onActiveCellPositionChanged:new Slick.Event,onDragInit:new Slick.Event,onDragStart:new Slick.Event,onDrag:new Slick.Event,onDragEnd:new Slick.Event,onSelectedRowsChanged:new Slick.Event,onCellCssStylesChanged:new Slick.Event,onAutosizeColumns:new Slick.Event,onRendered:new Slick.Event,registerPlugin,unregisterPlugin,getColumns,setColumns,getColumnIndex,updateColumnHeader,setSortColumn,setSortColumns,getSortColumns,autosizeColumns,getOptions,setOptions,getData,getDataLength,getDataItem,setData,getSelectionModel,setSelectionModel,getSelectedRows,setSelectedRows,getContainerNode,updatePagingStatusFromView,render,invalidate,invalidateRow,invalidateRows,invalidateAllRows,updateCell,updateRow,getViewport:getVisibleRange,getRenderedRange,resizeCanvas,updateRowCount,scrollRowIntoView,scrollRowToTop,scrollCellIntoView,scrollColumnIntoView,getCanvasNode,getUID,getHeaderColumnWidthDiff,getScrollbarDimensions,getHeadersWidth,getCanvasWidth,focus:setFocus,scrollTo,getCellFromPoint,getCellFromEvent,getActiveCell,setActiveCell,getActiveCellNode,getActiveCellPosition,resetActiveCell,editActiveCell:makeActiveCellEditable,getCellEditor,getCellNode,getCellNodeBox,canCellBeSelected,canCellBeActive,navigatePrev,navigateNext,navigateUp,navigateDown,navigateLeft,navigateRight,navigatePageUp,navigatePageDown,navigateTop,navigateBottom,navigateRowStart,navigateRowEnd,gotoCell,getTopPanel,setTopPanelVisibility,getPreHeaderPanel,setPreHeaderPanelVisibility,getHeader,getHeaderColumn,setHeaderRowVisibility,getHeaderRow,getHeaderRowColumn,setFooterRowVisibility,getFooterRow,getFooterRowColumn,getGridPosition,flashCell,addCellCssStyles,setCellCssStyles,removeCellCssStyles,getCellCssStyles,init:finishInitialization,destroy,getEditorLock,getEditController}),init()}module.exports={Grid:SlickGrid}},\n",
+       "      450: function _(t,e,a){\n",
+       "      /*!\n",
+       "           * jquery.event.drag - v 2.3.0\n",
+       "           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n",
+       "           * Open Source MIT License - http://threedubmedia.com/code/license\n",
+       "           */\n",
+       "      var n=t(443);n.fn.drag=function(t,e,a){var r=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==r.indexOf(\"drag\")&&(r=\"drag\"+r),a=(t==o?e:a)||{},o?this.on(r,a,o):this.trigger(r)};var r=n.event,o=r.special,i=o.drag={defaults:{which:1,distance:0,not:\":input\",handle:null,relative:!1,drop:!0,click:!1},datakey:\"dragdata\",noBubble:!0,add:function(t){var e=n.data(this,i.datakey),a=t.data||{};e.related+=1,n.each(i.defaults,(function(t,n){void 0!==a[t]&&(e[t]=a[t])}))},remove:function(){n.data(this,i.datakey).related-=1},setup:function(){if(!n.data(this,i.datakey)){var t=n.extend({related:0},i.defaults);n.data(this,i.datakey,t),r.add(this,\"touchstart mousedown\",i.init,t),this.attachEvent&&this.attachEvent(\"ondragstart\",i.dontstart)}},teardown:function(){(n.data(this,i.datakey)||{}).related||(n.removeData(this,i.datakey),r.remove(this,\"touchstart mousedown\",i.init),i.textselect(!0),this.detachEvent&&this.detachEvent(\"ondragstart\",i.dontstart))},init:function(t){if(!i.touched){var e,a=t.data;if(!(0!=t.which&&a.which>0&&t.which!=a.which)&&!n(t.target).is(a.not)&&(!a.handle||n(t.target).closest(a.handle,t.currentTarget).length)&&(i.touched=\"touchstart\"==t.type?this:null,a.propagates=1,a.mousedown=this,a.interactions=[i.interaction(this,a)],a.target=t.target,a.pageX=t.pageX,a.pageY=t.pageY,a.dragging=null,e=i.hijack(t,\"draginit\",a),a.propagates))return(e=i.flatten(e))&&e.length&&(a.interactions=[],n.each(e,(function(){a.interactions.push(i.interaction(this,a))}))),a.propagates=a.interactions.length,!1!==a.drop&&o.drop&&o.drop.handler(t,a),i.textselect(!1),i.touched?r.add(i.touched,\"touchmove touchend\",i.handler,a):r.add(document,\"mousemove mouseup\",i.handler,a),!(!i.touched||a.live)&&void 0}},interaction:function(t,e){var a=t&&t.ownerDocument&&n(t)[e.relative?\"position\":\"offset\"]()||{top:0,left:0};return{drag:t,callback:new i.callback,droppable:[],offset:a}},handler:function(t){var e=t.data;switch(t.type){case!e.dragging&&\"touchmove\":t.preventDefault();case!e.dragging&&\"mousemove\":if(Math.pow(t.pageX-e.pageX,2)+Math.pow(t.pageY-e.pageY,2)<Math.pow(e.distance,2))break;t.target=e.target,i.hijack(t,\"dragstart\",e),e.propagates&&(e.dragging=!0);case\"touchmove\":t.preventDefault();case\"mousemove\":if(e.dragging){if(i.hijack(t,\"drag\",e),e.propagates){!1!==e.drop&&o.drop&&o.drop.handler(t,e);break}t.type=\"mouseup\"}case\"touchend\":case\"mouseup\":default:i.touched?r.remove(i.touched,\"touchmove touchend\",i.handler):r.remove(document,\"mousemove mouseup\",i.handler),e.dragging&&(!1!==e.drop&&o.drop&&o.drop.handler(t,e),i.hijack(t,\"dragend\",e)),i.textselect(!0),!1===e.click&&e.dragging&&n.data(e.mousedown,\"suppress.click\",(new Date).getTime()+5),e.dragging=i.touched=!1}},hijack:function(t,e,a,o,d){if(a){var s,c,l,p={event:t.originalEvent,type:t.type},u=e.indexOf(\"drop\")?\"drag\":\"drop\",g=o||0,h=isNaN(o)?a.interactions.length:o;t.type=e;var f=function(){};t.originalEvent=new n.Event(p.event,{preventDefault:f,stopPropagation:f,stopImmediatePropagation:f}),a.results=[];do{if(c=a.interactions[g]){if(\"dragend\"!==e&&c.cancelled)continue;l=i.properties(t,a,c),c.results=[],n(d||c[u]||a.droppable).each((function(o,d){if(l.target=d,t.isPropagationStopped=function(){return!1},!1===(s=d?r.dispatch.call(d,t,l):null)?(\"drag\"==u&&(c.cancelled=!0,a.propagates-=1),\"drop\"==e&&(c[u][o]=null)):\"dropinit\"==e&&c.droppable.push(i.element(s)||d),\"dragstart\"==e&&(c.proxy=n(i.element(s)||c.drag)[0]),c.results.push(s),delete t.result,\"dropinit\"!==e)return s})),a.results[g]=i.flatten(c.results),\"dropinit\"==e&&(c.droppable=i.flatten(c.droppable)),\"dragstart\"!=e||c.cancelled||l.update()}}while(++g<h);return t.type=p.type,t.originalEvent=p.event,i.flatten(a.results)}},properties:function(t,e,a){var n=a.callback;return n.drag=a.drag,n.proxy=a.proxy||a.drag,n.startX=e.pageX,n.startY=e.pageY,n.deltaX=t.pageX-e.pageX,n.deltaY=t.pageY-e.pageY,n.originalX=a.offset.left,n.originalY=a.offset.top,n.offsetX=n.originalX+n.deltaX,n.offsetY=n.originalY+n.deltaY,n.drop=i.flatten((a.drop||[]).slice()),n.available=i.flatten((a.droppable||[]).slice()),n},element:function(t){if(t&&(t.jquery||1==t.nodeType))return t},flatten:function(t){return n.map(t,(function(t){return t&&t.jquery?n.makeArray(t):t&&t.length?i.flatten(t):t}))},textselect:function(t){n(document)[t?\"off\":\"on\"](\"selectstart\",i.dontstart).css(\"MozUserSelect\",t?\"\":\"none\"),document.unselectable=t?\"off\":\"on\"},dontstart:function(){return!1},callback:function(){}};i.callback.prototype={update:function(){o.drop&&this.available.length&&n.each(this.available,(function(t){o.drop.locate(this,t)}))}};var d=r.dispatch;r.dispatch=function(t){if(!(n.data(this,\"suppress.\"+t.type)-(new Date).getTime()>0))return d.apply(this,arguments);n.removeData(this,\"suppress.\"+t.type)},o.draginit=o.dragstart=o.dragend=i},\n",
+       "      451: function _(t,e,a){\n",
+       "      /*!\n",
+       "           * jquery.event.drop - v 2.3.0\n",
+       "           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n",
+       "           * Open Source MIT License - http://threedubmedia.com/code/license\n",
+       "           */\n",
+       "      var n=t(443);n.fn.drop=function(t,e,a){var i=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==i.indexOf(\"drop\")&&(i=\"drop\"+i),a=(t==o?e:a)||{},o?this.on(i,a,o):this.trigger(i)},n.drop=function(t){t=t||{},o.multi=!0===t.multi?1/0:!1===t.multi?1:isNaN(t.multi)?o.multi:t.multi,o.delay=t.delay||o.delay,o.tolerance=n.isFunction(t.tolerance)?t.tolerance:null===t.tolerance?null:o.tolerance,o.mode=t.mode||o.mode||\"intersect\"};var i=n.event.special,o=n.event.special.drop={multi:1,delay:20,mode:\"overlap\",targets:[],datakey:\"dropdata\",noBubble:!0,add:function(t){n.data(this,o.datakey).related+=1},remove:function(){n.data(this,o.datakey).related-=1},setup:function(){if(!n.data(this,o.datakey)){n.data(this,o.datakey,{related:0,active:[],anyactive:0,winner:0,location:{}}),o.targets.push(this)}},teardown:function(){if(!(n.data(this,o.datakey)||{}).related){n.removeData(this,o.datakey);var t=this;o.targets=n.grep(o.targets,(function(e){return e!==t}))}},handler:function(t,e){var a;if(e)switch(t.type){case\"mousedown\":case\"touchstart\":a=n(o.targets),\"string\"==typeof e.drop&&(a=a.filter(e.drop)),a.each((function(){var t=n.data(this,o.datakey);t.active=[],t.anyactive=0,t.winner=0})),e.droppable=a,i.drag.hijack(t,\"dropinit\",e);break;case\"mousemove\":case\"touchmove\":o.event=t,o.timer||o.tolerate(e);break;case\"mouseup\":case\"touchend\":o.timer=clearTimeout(o.timer),e.propagates&&(i.drag.hijack(t,\"drop\",e),i.drag.hijack(t,\"dropend\",e))}},locate:function(t,e){var a=n.data(t,o.datakey),i=n(t),r=i.offset()||{},d=i.outerHeight(),l=i.outerWidth(),c={elem:t,width:l,height:d,top:r.top,left:r.left,right:r.left+l,bottom:r.top+d};return a&&(a.location=c,a.index=e,a.elem=t),c},contains:function(t,e){return(e[0]||e.left)>=t.left&&(e[0]||e.right)<=t.right&&(e[1]||e.top)>=t.top&&(e[1]||e.bottom)<=t.bottom},modes:{intersect:function(t,e,a){return this.contains(a,[t.pageX,t.pageY])?1e9:this.modes.overlap.apply(this,arguments)},overlap:function(t,e,a){return Math.max(0,Math.min(a.bottom,e.bottom)-Math.max(a.top,e.top))*Math.max(0,Math.min(a.right,e.right)-Math.max(a.left,e.left))},fit:function(t,e,a){return this.contains(a,e)?1:0},middle:function(t,e,a){return this.contains(a,[e.left+.5*e.width,e.top+.5*e.height])?1:0}},sort:function(t,e){return e.winner-t.winner||t.index-e.index},tolerate:function(t){var e,a,r,d,l,c,s,u,p=0,h=t.interactions.length,m=[o.event.pageX,o.event.pageY],f=o.tolerance||o.modes[o.mode];do{if(u=t.interactions[p]){if(!u)return;u.drop=[],l=[],c=u.droppable.length,f&&(r=o.locate(u.proxy)),e=0;do{if(s=u.droppable[e]){if(!(a=(d=n.data(s,o.datakey)).location))continue;d.winner=f?f.call(o,o.event,r,a):o.contains(a,m)?1:0,l.push(d)}}while(++e<c);l.sort(o.sort),e=0;do{(d=l[e])&&(d.winner&&u.drop.length<o.multi?(d.active[p]||d.anyactive||(!1!==i.drag.hijack(o.event,\"dropstart\",t,p,d.elem)[0]?(d.active[p]=1,d.anyactive+=1):d.winner=0),d.winner&&u.drop.push(d.elem)):d.active[p]&&1==d.anyactive&&(i.drag.hijack(o.event,\"dropend\",t,p,d.elem),d.active[p]=0,d.anyactive-=1))}while(++e<c)}}while(++p<h);o.last&&m[0]==o.last.pageX&&m[1]==o.last.pageY?delete o.timer:o.timer=setTimeout((function(){o.tolerate(t)}),o.delay),o.last=o.event}};i.dropinit=i.dropstart=i.dropend=o},\n",
+       "      452: function _(t,e,n){var r=t(443),i=t(445);var o={Avg:function(t){this.field_=t,this.init=function(){this.count_=0,this.nonNullCount_=0,this.sum_=0},this.accumulate=function(t){var e=t[this.field_];this.count_++,null==e||\"\"===e||isNaN(e)||(this.nonNullCount_++,this.sum_+=parseFloat(e))},this.storeResult=function(t){t.avg||(t.avg={}),0!=this.nonNullCount_&&(t.avg[this.field_]=this.sum_/this.nonNullCount_)}},Min:function(t){this.field_=t,this.init=function(){this.min_=null},this.accumulate=function(t){var e=t[this.field_];null==e||\"\"===e||isNaN(e)||(null==this.min_||e<this.min_)&&(this.min_=e)},this.storeResult=function(t){t.min||(t.min={}),t.min[this.field_]=this.min_}},Max:function(t){this.field_=t,this.init=function(){this.max_=null},this.accumulate=function(t){var e=t[this.field_];null==e||\"\"===e||isNaN(e)||(null==this.max_||e>this.max_)&&(this.max_=e)},this.storeResult=function(t){t.max||(t.max={}),t.max[this.field_]=this.max_}},Sum:function(t){this.field_=t,this.init=function(){this.sum_=null},this.accumulate=function(t){var e=t[this.field_];null==e||\"\"===e||isNaN(e)||(this.sum_+=parseFloat(e))},this.storeResult=function(t){t.sum||(t.sum={}),t.sum[this.field_]=this.sum_}}};e.exports={DataView:function(t){var e,n,o,a,l,s=this,u=\"id\",g=[],c=[],f={},p=null,h=null,d=null,m=!1,v=!0,_={},w={},$=[],y=[],I={getter:null,formatter:null,comparer:function(t,e){return t.value===e.value?0:t.value>e.value?1:-1},predefinedValues:[],aggregators:[],aggregateEmpty:!1,aggregateCollapsed:!1,aggregateChildGroups:!1,collapsed:!1,displayTotalsRow:!0,lazyTotalsCalculation:!1},C=[],R=[],x=[],b=0,M=0,F=0,A=new i.Event,S=new i.Event,N=new i.Event;function E(t){for(var e,n=t=t||0,r=g.length;n<r;n++){if(void 0===(e=g[n][u]))throw new Error(\"Each data element must implement a unique 'id' property\");f[e]=n}}function T(){var t=b?Math.max(1,Math.ceil(F/b)):1;return{pageSize:b,pageNum:M,totalRows:F,totalPages:t,dataView:s}}function G(t,r){v=r,n=t,e=null,!1===r&&g.reverse(),g.sort(t),!1===r&&g.reverse(),f={},E(),Z()}function D(t,r){v=r,e=t,n=null;var i=Object.prototype.toString;Object.prototype.toString=\"function\"==typeof t?t:function(){return this[t]},!1===r&&g.reverse(),g.sort(),Object.prototype.toString=i,!1===r&&g.reverse(),f={},E(),Z()}function P(e){t.groupItemMetadataProvider||(t.groupItemMetadataProvider=new i.Data.GroupItemMetadataProvider),R=[],x=[],C=(e=e||[])instanceof Array?e:[e];for(var n=0;n<C.length;n++){var o=C[n]=r.extend(!0,{},I,C[n]);o.getterIsAFn=\"function\"==typeof o.getter,o.compiledAccumulators=[];for(var a=o.aggregators.length;a--;)o.compiledAccumulators[a]=W(o.aggregators[a]);x[n]={}}Z()}function j(){if(!p){p={};for(var t=0,e=c.length;t<e;t++)p[c[t][u]]=t}}function z(t){return g[f[t]]}function B(t,e){if(void 0===f[t]||t!==e[u])throw new Error(\"Invalid or non-matching id\");g[f[t]]=e,d||(d={}),d[t]=!0,Z()}function V(t,e){g.splice(t,0,e),E(t),Z()}function O(t){var e=f[t];if(void 0===e)throw new Error(\"Invalid id\");delete f[t],g.splice(e,1),E(e),Z()}function q(t){if(!n)throw new Error(\"sortedAddItem() requires a sort comparer, use sort()\");V(function(t){var e=0,r=g.length;for(;e<r;){var i=e+r>>>1;-1===n(g[i],t)?e=i+1:r=i}return e}(t),t)}function K(t,e){if(null==t)for(var n=0;n<C.length;n++)x[n]={},C[n].collapsed=e;else x[t]={},C[t].collapsed=e;Z()}function U(t,e,n){x[t][e]=C[t].collapsed^n,Z()}function L(t){var e,n=t.group,r=C[n.level],i=n.level==C.length,o=r.aggregators.length;if(!i&&r.aggregateChildGroups)for(var a=n.groups.length;a--;)n.groups[a].totals.initialized||L(n.groups[a].totals);for(;o--;)(e=r.aggregators[o]).init(),!i&&r.aggregateChildGroups?r.compiledAccumulators[o].call(e,n.groups):r.compiledAccumulators[o].call(e,n.rows),e.storeResult(t);t.initialized=!0}function k(t){var e=C[t.level],n=new i.GroupTotals;n.group=t,t.totals=n,e.lazyTotalsCalculation||L(n)}function H(t){var e=t.toString().match(/^function[^(]*\\(([^)]*)\\)\\s*{([\\s\\S]*)}$/);return{params:e[1].split(\",\"),body:e[2]}}function W(t){var e=H(t.accumulate),n=new Function(\"_items\",\"for (var \"+e.params[0]+\", _i=0, _il=_items.length; _i<_il; _i++) {\"+e.params[0]+\" = _items[_i]; \"+e.body+\"}\");return n.displayName=n.name=\"compiledAccumulatorLoop\",n}function J(t,e){for(var n=[],r=0,i=0,o=t.length;i<o;i++)h(t[i],e)&&(n[r++]=t[i]);return n}function Q(t,e,n){for(var r,i=[],o=0,a=0,l=t.length;a<l;a++)r=t[a],n[a]?i[o++]=r:h(r,e)&&(i[o++]=r,n[a]=!0);return i}function X(e){if(h){var n=t.inlineFilters?a:J,r=t.inlineFilters?l:Q;_.isFilterNarrowing?$=n($,o):_.isFilterExpanding?$=r(e,o,y):_.isFilterUnchanged||($=n(e,o))}else $=b?e:e.concat();var i;return b?($.length<=M*b&&(M=0===$.length?0:Math.floor(($.length-1)/b)),i=$.slice(b*M,b*M+b)):i=$,{totalRows:$.length,rows:i}}function Y(t){p=null,_.isFilterNarrowing==w.isFilterNarrowing&&_.isFilterExpanding==w.isFilterExpanding||(y=[]);var e=X(t);F=e.totalRows;var n=e.rows;R=[],C.length&&(R=function t(e,n){for(var r,o,a,l=[],s={},u=n?n.level+1:0,g=C[u],c=0,f=g.predefinedValues.length;c<f;c++)(r=s[o=g.predefinedValues[c]])||((r=new i.Group).value=o,r.level=u,r.groupingKey=(n?n.groupingKey+\":|:\":\"\")+o,l[l.length]=r,s[o]=r);for(c=0,f=e.length;c<f;c++)a=e[c],(r=s[o=g.getterIsAFn?g.getter(a):a[g.getter]])||((r=new i.Group).value=o,r.level=u,r.groupingKey=(n?n.groupingKey+\":|:\":\"\")+o,l[l.length]=r,s[o]=r),r.rows[r.count++]=a;if(u<C.length-1)for(c=0;c<l.length;c++)(r=l[c]).groups=t(r.rows,r);return l.sort(C[u].comparer),l}(n)).length&&(!function t(e,n){for(var r,i=C[n=n||0],o=i.collapsed,a=x[n],l=e.length;l--;)(r=e[l]).collapsed&&!i.aggregateCollapsed||(r.groups&&t(r.groups,n+1),i.aggregators.length&&(i.aggregateEmpty||r.rows.length||r.groups&&r.groups.length)&&k(r),r.collapsed=o^a[r.groupingKey],r.title=i.formatter?i.formatter(r):r.value)}(R),n=function t(e,n){for(var r,i,o=C[n=n||0],a=[],l=0,s=0,u=e.length;s<u;s++){if(i=e[s],a[l++]=i,!i.collapsed)for(var g=0,c=(r=i.groups?t(i.groups,n+1):i.rows).length;g<c;g++)a[l++]=r[g];i.totals&&o.displayTotalsRow&&(!i.collapsed||o.aggregateCollapsed)&&(a[l++]=i.totals)}return a}(R));var r=function(t,e){var n,r,i,o=[],a=0,l=e.length;_&&_.ignoreDiffsBefore&&(a=Math.max(0,Math.min(e.length,_.ignoreDiffsBefore))),_&&_.ignoreDiffsAfter&&(l=Math.min(e.length,Math.max(0,_.ignoreDiffsAfter)));for(var s=a,g=t.length;s<l;s++)s>=g?o[o.length]=s:(n=e[s],r=t[s],(C.length&&(i=n.__nonDataRow||r.__nonDataRow)&&n.__group!==r.__group||n.__group&&!n.equals(r)||i&&(n.__groupTotals||r.__groupTotals)||n[u]!=r[u]||d&&d[n[u]])&&(o[o.length]=s));return o}(c,n);return c=n,r}function Z(){if(!m){var t=c.length,e=F,n=Y(g);b&&F<M*b&&(M=Math.max(0,Math.ceil(F/b)-1),n=Y(g)),d=null,w=_,_={},e!==F&&N.notify(T(),null,s),t!==c.length&&A.notify({previous:t,current:c.length,dataView:s},null,s),n.length>0&&S.notify({rows:n,dataView:s},null,s)}}t=r.extend(!0,{},{groupItemMetadataProvider:null,inlineFilters:!1},t),r.extend(this,{beginUpdate:function(){m=!0},endUpdate:function(){m=!1,Z()},setPagingOptions:function(t){null!=t.pageSize&&(b=t.pageSize,M=b?Math.min(M,Math.max(0,Math.ceil(F/b)-1)):0),null!=t.pageNum&&(M=Math.min(t.pageNum,Math.max(0,Math.ceil(F/b)-1))),N.notify(T(),null,s),Z()},getPagingInfo:T,getItems:function(){return g},setItems:function(t,e){void 0!==e&&(u=e),g=$=t,f={},E(),function(){for(var t,e=0,n=g.length;e<n;e++)if(void 0===(t=g[e][u])||f[t]!==e)throw new Error(\"Each data element must implement a unique 'id' property\")}(),Z()},setFilter:function(e){h=e,t.inlineFilters&&(a=function(){var t=H(h),e=\"{ _retval[_idx++] = $item$; 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}$1\").replace(/return true\\s*([;}]|\\}|$)/gi,e).replace(/return!0([;}]|\\}|$)/gi,e).replace(/return ([^;}]+?)\\s*([;}]|$)/gi,\"{ if ((_cache[_i] = $1)) { _retval[_idx++] = $item$; }; continue _coreloop; }$2\"),r=[\"var _retval = [], _idx = 0; \",\"var $item$, $args$ = _args; \",\"_coreloop: \",\"for (var _i = 0, _il = _items.length; _i < _il; _i++) { \",\"$item$ = _items[_i]; \",\"if (_cache[_i]) { \",\"_retval[_idx++] = $item$; \",\"continue _coreloop; \",\"} \",\"$filter$; \",\"} \",\"return _retval; \"].join(\"\");r=(r=(r=r.replace(/\\$filter\\$/gi,n)).replace(/\\$item\\$/gi,t.params[0])).replace(/\\$args\\$/gi,t.params[1]);var i=new Function(\"_items,_args,_cache\",r);return i.displayName=i.name=\"compiledFilterWithCaching\",i}()),Z()},getFilter:function(){return h},getFilteredItems:function(){return $},sort:G,fastSort:D,reSort:function(){n?G(n,v):e&&D(e,v)},setGrouping:P,getGrouping:function(){return C},groupBy:function(t,e,n){P(null!=t?{getter:t,formatter:e,comparer:n}:[])},setAggregators:function(t,e){if(!C.length)throw new Error(\"At least one grouping must be specified before calling setAggregators().\");C[0].aggregators=t,C[0].aggregateCollapsed=e,P(C)},collapseAllGroups:function(t){K(t,!0)},expandAllGroups:function(t){K(t,!1)},collapseGroup:function(t){var e=Array.prototype.slice.call(arguments),n=e[0];1==e.length&&-1!=n.indexOf(\":|:\")?U(n.split(\":|:\").length-1,n,!0):U(e.length-1,e.join(\":|:\"),!0)},expandGroup:function(t){var e=Array.prototype.slice.call(arguments),n=e[0];1==e.length&&-1!=n.indexOf(\":|:\")?U(n.split(\":|:\").length-1,n,!1):U(e.length-1,e.join(\":|:\"),!1)},getGroups:function(){return R},getIdxById:function(t){return f[t]},getRowByItem:function(t){return j(),p[t[u]]},getRowById:function(t){return j(),p[t]},getItemById:z,getItemByIdx:function(t){return g[t]},mapItemsToRows:function(t){var e=[];j();for(var n=0,r=t.length;n<r;n++){var i=p[t[n][u]];null!=i&&(e[e.length]=i)}return e},mapRowsToIds:function(t){for(var e=[],n=0,r=t.length;n<r;n++)t[n]<c.length&&(e[e.length]=c[t[n]][u]);return e},mapIdsToRows:function(t){var e=[];j();for(var n=0,r=t.length;n<r;n++){var i=p[t[n]];null!=i&&(e[e.length]=i)}return e},setRefreshHints:function(t){_=t},setFilterArgs:function(t){o=t},refresh:Z,updateItem:B,insertItem:V,addItem:function(t){g.push(t),E(g.length-1),Z()},deleteItem:O,sortedAddItem:q,sortedUpdateItem:function(t,e){if(void 0===f[t]||t!==e[u])throw new Error(\"Invalid or non-matching id \"+f[t]);if(!n)throw new Error(\"sortedUpdateItem() requires a sort comparer, use sort()\");var r=z(t);0!==n(r,e)?(O(t),q(e)):B(t,e)},syncGridSelection:function(t,e,n){var o,a=this,l=a.mapRowsToIds(t.getSelectedRows()),s=new i.Event;function u(e){l.join(\",\")!=e.join(\",\")&&(l=e,s.notify({grid:t,ids:l,dataView:a},new i.EventData,a))}function g(){if(l.length>0){o=!0;var n=a.mapIdsToRows(l);e||u(a.mapRowsToIds(n)),t.setSelectedRows(n),o=!1}}return t.onSelectedRowsChanged.subscribe((function(e,i){if(!o){var s=a.mapRowsToIds(t.getSelectedRows());if(n&&t.getOptions().multiSelect)u(r.grep(l,(function(t){return void 0===a.getRowById(t)})).concat(s));else u(s)}})),this.onRowsChanged.subscribe(g),this.onRowCountChanged.subscribe(g),s},syncGridCellCssStyles:function(t,e){var n,r;function i(t){for(var e in n={},t){var r=c[e][u];n[r]=t[e]}}function o(){if(n){r=!0,j();var i={};for(var o in n){var a=p[o];null!=a&&(i[a]=n[o])}t.setCellCssStyles(e,i),r=!1}}i(t.getCellCssStyles(e)),t.onCellCssStylesChanged.subscribe((function(n,a){r||e==a.key&&(a.hash?i(a.hash):(t.onCellCssStylesChanged.unsubscribe(styleChanged),s.onRowsChanged.unsubscribe(o),s.onRowCountChanged.unsubscribe(o)))})),this.onRowsChanged.subscribe(o),this.onRowCountChanged.subscribe(o)},getLength:function(){return c.length},getItem:function(t){var e=c[t];if(e&&e.__group&&e.totals&&!e.totals.initialized){var n=C[e.level];n.displayTotalsRow||(L(e.totals),e.title=n.formatter?n.formatter(e):e.value)}else e&&e.__groupTotals&&!e.initialized&&L(e);return e},getItemMetadata:function(e){var n=c[e];return void 0===n?null:n.__group?t.groupItemMetadataProvider.getGroupRowMetadata(n):n.__groupTotals?t.groupItemMetadataProvider.getTotalsRowMetadata(n):null},onRowCountChanged:A,onRowsChanged:S,onPagingInfoChanged:N})},Aggregators:o,Data:{Aggregators:o}}},\n",
+       "      453: function _(e,t,i){var n=e(443),o=e(445);function l(e){var t,i;function o(){var t=e.column.editorFixedDecimalPlaces;return void 0===t&&(t=l.DefaultDecimalPlaces),t||0===t?t:null}this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field];var l=o();null!==l&&(i||0===i)&&i.toFixed&&(i=i.toFixed(l)),t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){var e=parseFloat(t.val());l.AllowEmptyValue?e||0===e||(e=\"\"):e=e||0;var i=o();return null!==i&&(e||0===e)&&e.toFixed&&(e=parseFloat(e.toFixed(i))),e},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid number\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}function a(e){var t=this.selectionStart,i=this.value.length;(e.keyCode===n.ui.keyCode.LEFT&&t>0||e.keyCode===n.ui.keyCode.RIGHT&&t<i-1)&&e.stopImmediatePropagation()}function s(e){e.keyCode!==n.ui.keyCode.LEFT&&e.keyCode!==n.ui.keyCode.RIGHT||e.stopImmediatePropagation()}l.DefaultDecimalPlaces=null,l.AllowEmptyValue=!1,t.exports={Editors:{Text:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.getValue=function(){return t.val()},this.setValue=function(e){t.val(e)},this.loadValue=function(n){i=n[e.column.field]||\"\",t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Integer:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid integer\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Float:l,Date:function(e){var t,i,o=!1;this.init=function(){(t=n(\"<INPUT type=text class='editor-text' />\")).appendTo(e.container),t.focus().select(),t.datepicker({showOn:\"button\",buttonImageOnly:!0,beforeShow:function(){o=!0},onClose:function(){o=!1}}),t.width(t.width()-18)},this.destroy=function(){n.datepicker.dpDiv.stop(!0,!0),t.datepicker(\"hide\"),t.datepicker(\"destroy\"),t.remove()},this.show=function(){o&&n.datepicker.dpDiv.stop(!0,!0).show()},this.hide=function(){o&&n.datepicker.dpDiv.stop(!0,!0).hide()},this.position=function(e){o&&n.datepicker.dpDiv.css(\"top\",e.top+30).css(\"left\",e.left)},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},YesNoSelect:function(e){var t,i;this.init=function(){(t=n(\"<SELECT tabIndex='0' class='editor-yesno'><OPTION value='yes'>Yes</OPTION><OPTION value='no'>No</OPTION></SELECT>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){t.val((i=n[e.column.field])?\"yes\":\"no\"),t.select()},this.serializeValue=function(){return\"yes\"==t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return t.val()!=i},this.validate=function(){return{valid:!0,msg:null}},this.init()},Checkbox:function(e){var t,i;this.init=function(){(t=n(\"<INPUT type=checkbox value='true' class='editor-checkbox' hideFocus>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){(i=!!n[e.column.field])?t.prop(\"checked\",!0):t.prop(\"checked\",!1)},this.preClick=function(){t.prop(\"checked\",!t.prop(\"checked\"))},this.serializeValue=function(){return t.prop(\"checked\")},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return this.serializeValue()!==i},this.validate=function(){return{valid:!0,msg:null}},this.init()},PercentComplete:function(e){var t,i,o;this.init=function(){(t=n(\"<INPUT type=text class='editor-percentcomplete' />\")).width(n(e.container).innerWidth()-25),t.appendTo(e.container),(i=n(\"<div class='editor-percentcomplete-picker' />\").appendTo(e.container)).append(\"<div class='editor-percentcomplete-helper'><div class='editor-percentcomplete-wrapper'><div class='editor-percentcomplete-slider' /><div class='editor-percentcomplete-buttons' /></div></div>\"),i.find(\".editor-percentcomplete-buttons\").append(\"<button val=0>Not started</button><br/><button val=50>In Progress</button><br/><button val=100>Complete</button>\"),t.focus().select(),i.find(\".editor-percentcomplete-slider\").slider({orientation:\"vertical\",range:\"min\",value:o,slide:function(e,i){t.val(i.value)}}),i.find(\".editor-percentcomplete-buttons button\").on(\"click\",(function(e){t.val(n(this).attr(\"val\")),i.find(\".editor-percentcomplete-slider\").slider(\"value\",n(this).attr(\"val\"))}))},this.destroy=function(){t.remove(),i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(o=i[e.column.field]),t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==o)&&(parseInt(t.val(),10)||0)!=o},this.validate=function(){return isNaN(parseInt(t.val(),10))?{valid:!1,msg:\"Please enter a valid positive number\"}:{valid:!0,msg:null}},this.init()},LongText:function(e){var t,i,l,a=this;this.init=function(){var o=n(\"body\");e.grid.getOptions().editorCellNavOnLRKeys;i=n(\"<DIV style='z-index:10000;position:absolute;background:white;padding:5px;border:3px solid gray; -moz-border-radius:10px; border-radius:10px;'/>\").appendTo(o),t=n(\"<TEXTAREA hidefocus rows=5 style='background:white;width:250px;height:80px;border:0;outline:0'>\").appendTo(i),n(\"<DIV style='text-align:right'><BUTTON>Save</BUTTON><BUTTON>Cancel</BUTTON></DIV>\").appendTo(i),i.find(\"button:first\").on(\"click\",this.save),i.find(\"button:last\").on(\"click\",this.cancel),t.on(\"keydown\",this.handleKeyDown),a.position(e.position),t.focus().select()},this.handleKeyDown=function(t){if(t.which==o.keyCode.ENTER&&t.ctrlKey)a.save();else if(t.which==o.keyCode.ESCAPE)t.preventDefault(),a.cancel();else if(t.which==o.keyCode.TAB&&t.shiftKey)t.preventDefault(),e.grid.navigatePrev();else if(t.which==o.keyCode.TAB)t.preventDefault(),e.grid.navigateNext();else if((t.which==n.ui.keyCode.LEFT||t.which==n.ui.keyCode.RIGHT)&&e.grid.getOptions().editorCellNavOnLRKeys){var i=this.selectionStart,l=this.value.length;t.keyCode===n.ui.keyCode.LEFT&&0===i&&e.grid.navigatePrev(),t.keyCode===n.ui.keyCode.RIGHT&&i>=l-1&&e.grid.navigateNext()}},this.save=function(){e.commitChanges()},this.cancel=function(){t.val(l),e.cancelChanges()},this.hide=function(){i.hide()},this.show=function(){i.show()},this.position=function(e){i.css(\"top\",e.top-5).css(\"left\",e.left-5)},this.destroy=function(){i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(l=i[e.column.field]),t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==l)&&t.val()!=l},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}}}},\n",
+       "      454: function _(e,n,r){e(445);n.exports={Formatters:{PercentComplete:function(e,n,r,t,c){return null==r||\"\"===r?\"-\":r<50?\"<span style='color:red;font-weight:bold;'>\"+r+\"%</span>\":\"<span style='color:green'>\"+r+\"%</span>\"},PercentCompleteBar:function(e,n,r,t,c){return null==r||\"\"===r?\"\":\"<span class='percent-complete-bar' style='background:\"+(r<30?\"red\":r<70?\"silver\":\"green\")+\";width:\"+r+\"%'></span>\"},YesNo:function(e,n,r,t,c){return r?\"Yes\":\"No\"},Checkmark:function(e,n,r,t,c){return r?\"<img src='../images/tick.png'>\":\"\"},Checkbox:function(e,n,r,t,c){return'<img class=\"slick-edit-preclick\" src=\"../images/'+(r?\"CheckboxY\":\"CheckboxN\")+'.png\">'}}}},\n",
+       "      455: function _(t,o,r){var e=t(443),n=t(445);o.exports={RemoteModel:function(){var t={length:0},o=\"\",r=null,a=1,l=null,i=null,s=new n.Event,u=new n.Event;function f(){for(var o in t)delete t[o];t.length=0}function c(n,f){if(i){i.abort();for(var c=i.fromPage;c<=i.toPage;c++)t[50*c]=void 0}n<0&&(n=0),t.length>0&&(f=Math.min(f,t.length-1));for(var d=Math.floor(n/50),v=Math.floor(f/50);void 0!==t[50*d]&&d<v;)d++;for(;void 0!==t[50*v]&&d<v;)v--;if(d>v||d==v&&void 0!==t[50*d])u.notify({from:n,to:f});else{var m=\"http://octopart.com/api/v3/parts/search?apikey=68b25f31&include[]=short_description&show[]=uid&show[]=manufacturer&show[]=mpn&show[]=brand&show[]=octopart_url&show[]=short_description&q=\"+o+\"&start=\"+50*d+\"&limit=\"+(50*(v-d)+50);null!=r&&(m+=\"&sortby=\"+r+(a>0?\"+asc\":\"+desc\")),null!=l&&clearTimeout(l),l=setTimeout((function(){for(var o=d;o<=v;o++)t[50*o]=null;s.notify({from:n,to:f}),(i=e.jsonp({url:m,callbackParameter:\"callback\",cache:!0,success:h,error:function(){!function(t,o){alert(\"error loading pages \"+t+\" to \"+o)}(d,v)}})).fromPage=d,i.toPage=v}),50)}}function h(o){var r=o.request.start,e=r+o.results.length;t.length=Math.min(parseInt(o.hits),1e3);for(var n=0;n<o.results.length;n++){var a=o.results[n].item;t[r+n]=a,t[r+n].index=r+n}i=null,u.notify({from:r,to:e})}return{data:t,clear:f,isDataLoaded:function(o,r){for(var e=o;e<=r;e++)if(null==t[e]||null==t[e])return!1;return!0},ensureData:c,reloadData:function(o,r){for(var e=o;e<=r;e++)delete t[e];c(o,r)},setSort:function(t,o){r=t,a=o,f()},setSearch:function(t){o=t,f()},onDataLoading:s,onDataLoaded:u}}}},\n",
+       "      456: function _(e,s,t){var a=e(443),o=e(445);s.exports={GroupItemMetadataProvider:function(e){var s,t={checkboxSelect:!1,checkboxSelectCssClass:\"slick-group-select-checkbox\",checkboxSelectPlugin:null,groupCssClass:\"slick-group\",groupTitleCssClass:\"slick-group-title\",totalsCssClass:\"slick-group-totals\",groupFocusable:!0,totalsFocusable:!1,toggleCssClass:\"slick-group-toggle\",toggleExpandedCssClass:\"expanded\",toggleCollapsedCssClass:\"collapsed\",enableExpandCollapse:!0,groupFormatter:function(s,t,a,o,l,c){if(!e.enableExpandCollapse)return l.title;var r=15*l.level+\"px\";return(e.checkboxSelect?'<span class=\"'+e.checkboxSelectCssClass+\" \"+(l.selectChecked?\"checked\":\"unchecked\")+'\"></span>':\"\")+\"<span class='\"+e.toggleCssClass+\" \"+(l.collapsed?e.toggleCollapsedCssClass:e.toggleExpandedCssClass)+\"' style='margin-left:\"+r+\"'></span><span class='\"+e.groupTitleCssClass+\"' level='\"+l.level+\"'>\"+l.title+\"</span>\"},totalsFormatter:function(e,s,t,a,o,l){return a.groupTotalsFormatter&&a.groupTotalsFormatter(o,a,l)||\"\"}};function l(t,l){var c=a(t.target),r=this.getDataItem(l.row);if(r&&r instanceof o.Group&&c.hasClass(e.toggleCssClass)){var n=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:n.top,ignoreDiffsAfter:n.bottom+1}),r.collapsed?this.getData().expandGroup(r.groupingKey):this.getData().collapseGroup(r.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}if(r&&r instanceof o.Group&&c.hasClass(e.checkboxSelectCssClass)){r.selectChecked=!r.selectChecked,c.removeClass(r.selectChecked?\"unchecked\":\"checked\"),c.addClass(r.selectChecked?\"checked\":\"unchecked\");var i=s.getData().mapItemsToRows(r.rows);(r.selectChecked?e.checkboxSelectPlugin.selectRows:e.checkboxSelectPlugin.deSelectRows)(i)}}function c(t,a){if(e.enableExpandCollapse&&t.which==o.keyCode.SPACE){var l=this.getActiveCell();if(l){var c=this.getDataItem(l.row);if(c&&c instanceof o.Group){var r=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:r.top,ignoreDiffsAfter:r.bottom+1}),c.collapsed?this.getData().expandGroup(c.groupingKey):this.getData().collapseGroup(c.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}}}}return e=a.extend(!0,{},t,e),{init:function(e){(s=e).onClick.subscribe(l),s.onKeyDown.subscribe(c)},destroy:function(){s&&(s.onClick.unsubscribe(l),s.onKeyDown.unsubscribe(c))},getGroupRowMetadata:function(s){return{selectable:!1,focusable:e.groupFocusable,cssClasses:e.groupCssClass,columns:{0:{colspan:\"*\",formatter:e.groupFormatter,editor:null}}}},getTotalsRowMetadata:function(s){return{selectable:!1,focusable:e.totalsFocusable,cssClasses:e.totalsCssClass,formatter:e.totalsFormatter,editor:null}}}}}},\n",
+       "      457: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),n=e(458),c=e(98),a=s.__importStar(e(18));class o extends n.Widget{constructor(e){super(e)}static init_TableWidget(){this.define({source:[a.Instance],view:[a.Instance,()=>new c.CDSView]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.source,this.view.compute_indices())}}t.TableWidget=o,o.__name__=\"TableWidget\",o.init_TableWidget()},\n",
+       "      458: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(249),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n",
+       "      459: function _(e,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_data_table=\"bk-data-table\",b.bk_cell_index=\"bk-cell-index\",b.bk_header_index=\"bk-header-index\",b.bk_cell_editor=\"bk-cell-editor\",b.bk_cell_select=\"bk-cell-select\"},\n",
+       "      460: function _(A,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default='\\n.bk-root {\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /* Menu button */\\n  /* Menu */\\n  /* Menu items */\\n  /* Disabled */\\n}\\n.bk-root .slick-header.ui-state-default,\\n.bk-root .slick-headerrow.ui-state-default,\\n.bk-root .slick-footerrow.ui-state-default,\\n.bk-root .slick-top-panel-scroller.ui-state-default {\\n  width: 100%;\\n  overflow: auto;\\n  position: relative;\\n  border-left: 0px !important;\\n}\\n.bk-root .slick-header.ui-state-default {\\n  overflow: inherit;\\n}\\n.bk-root .slick-header::-webkit-scrollbar,\\n.bk-root .slick-headerrow::-webkit-scrollbar,\\n.bk-root .slick-footerrow::-webkit-scrollbar {\\n  display: none;\\n}\\n.bk-root .slick-header-columns,\\n.bk-root .slick-headerrow-columns,\\n.bk-root .slick-footerrow-columns {\\n  position: relative;\\n  white-space: nowrap;\\n  cursor: default;\\n  overflow: hidden;\\n}\\n.bk-root .slick-header-column.ui-state-default {\\n  position: relative;\\n  display: inline-block;\\n  box-sizing: content-box !important;\\n  /* this here only for Firefox! */\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  height: 16px;\\n  line-height: 16px;\\n  margin: 0;\\n  padding: 4px;\\n  border-right: 1px solid silver;\\n  border-left: 0px !important;\\n  border-top: 0px !important;\\n  border-bottom: 0px !important;\\n  float: left;\\n}\\n.bk-root .slick-headerrow-column.ui-state-default,\\n.bk-root .slick-footerrow-column.ui-state-default {\\n  padding: 4px;\\n}\\n.bk-root .slick-header-column-sorted {\\n  font-style: italic;\\n}\\n.bk-root .slick-sort-indicator {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 6px;\\n  float: left;\\n}\\n.bk-root .slick-sort-indicator-numbered {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 0;\\n  line-height: 20px;\\n  float: left;\\n  font-family: Arial;\\n  font-style: normal;\\n  font-weight: bold;\\n  color: #6190CD;\\n}\\n.bk-root .slick-sort-indicator-desc {\\n  background: url(images/sort-desc.gif);\\n}\\n.bk-root .slick-sort-indicator-asc {\\n  background: url(images/sort-asc.gif);\\n}\\n.bk-root .slick-resizable-handle {\\n  position: absolute;\\n  font-size: 0.1px;\\n  display: block;\\n  cursor: col-resize;\\n  width: 9px;\\n  right: -5px;\\n  top: 0;\\n  height: 100%;\\n  z-index: 1;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver;\\n}\\n.bk-root .grid-canvas {\\n  position: relative;\\n  outline: 0;\\n}\\n.bk-root .slick-row.ui-widget-content,\\n.bk-root .slick-row.ui-state-active {\\n  position: absolute;\\n  border: 0px;\\n  width: 100%;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column,\\n.bk-root .slick-footerrow-column {\\n  position: absolute;\\n  border: 1px solid transparent;\\n  border-right: 1px dotted silver;\\n  border-bottom-color: silver;\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  vertical-align: middle;\\n  z-index: 1;\\n  padding: 1px 2px 2px 1px;\\n  margin: 0;\\n  white-space: nowrap;\\n  cursor: default;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column {\\n  border-bottom-color: silver;\\n}\\n.bk-root .slick-footerrow-column {\\n  border-top-color: silver;\\n}\\n.bk-root .slick-group-toggle {\\n  display: inline-block;\\n}\\n.bk-root .slick-cell.highlighted {\\n  background: lightskyblue;\\n  background: rgba(0, 0, 255, 0.2);\\n  -webkit-transition: all 0.5s;\\n  -moz-transition: all 0.5s;\\n  -o-transition: all 0.5s;\\n  transition: all 0.5s;\\n}\\n.bk-root .slick-cell.flashing {\\n  border: 1px solid red !important;\\n}\\n.bk-root .slick-cell.editable {\\n  z-index: 11;\\n  overflow: visible;\\n  background: white;\\n  border-color: black;\\n  border-style: solid;\\n}\\n.bk-root .slick-cell:focus {\\n  outline: none;\\n}\\n.bk-root .slick-reorder-proxy {\\n  display: inline-block;\\n  background: blue;\\n  opacity: 0.15;\\n  cursor: move;\\n}\\n.bk-root .slick-reorder-guide {\\n  display: inline-block;\\n  height: 2px;\\n  background: blue;\\n  opacity: 0.7;\\n}\\n.bk-root .slick-selection {\\n  z-index: 10;\\n  position: absolute;\\n  border: 2px dashed black;\\n}\\n.bk-root .slick-header-columns {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-bottom: 1px solid silver;\\n}\\n.bk-root .slick-header-column {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-right: 1px solid silver;\\n}\\n.bk-root .slick-header-column:hover,\\n.bk-root .slick-header-column-active {\\n  background: white url(\\'images/header-columns-over-bg.gif\\') repeat-x center bottom;\\n}\\n.bk-root .slick-headerrow {\\n  background: #fafafa;\\n}\\n.bk-root .slick-headerrow-column {\\n  background: #fafafa;\\n  border-bottom: 0;\\n  height: 100%;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row {\\n  position: absolute;\\n  background: white;\\n  border: 0px;\\n  line-height: 20px;\\n}\\n.bk-root .slick-row.selected {\\n  z-index: 10;\\n  background: #DFE8F6;\\n}\\n.bk-root .slick-cell {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .slick-group {\\n  border-bottom: 2px solid silver;\\n}\\n.bk-root .slick-group-toggle {\\n  width: 9px;\\n  height: 9px;\\n  margin-right: 5px;\\n}\\n.bk-root .slick-group-toggle.expanded {\\n  background: url(images/collapse.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-toggle.collapsed {\\n  background: url(images/expand.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-totals {\\n  color: gray;\\n  background: white;\\n}\\n.bk-root .slick-group-select-checkbox {\\n  width: 13px;\\n  height: 13px;\\n  margin: 3px 10px 0 0;\\n  display: inline-block;\\n}\\n.bk-root .slick-group-select-checkbox.checked {\\n  background: url(images/GrpCheckboxY.png) no-repeat center center;\\n}\\n.bk-root .slick-group-select-checkbox.unchecked {\\n  background: url(images/GrpCheckboxN.png) no-repeat center center;\\n}\\n.bk-root .slick-cell.selected {\\n  background-color: beige;\\n}\\n.bk-root .slick-cell.active {\\n  border-color: gray;\\n  border-style: solid;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver !important;\\n}\\n.bk-root .slick-row.odd {\\n  background: #fafafa;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row.loading {\\n  opacity: 0.5;\\n}\\n.bk-root .slick-cell.invalid {\\n  border-color: red;\\n  -moz-animation-duration: 0.2s;\\n  -webkit-animation-duration: 0.2s;\\n  -moz-animation-name: slickgrid-invalid-hilite;\\n  -webkit-animation-name: slickgrid-invalid-hilite;\\n}\\n@-moz-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n@-webkit-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n.bk-root .slick-column-name,\\n.bk-root .slick-sort-indicator {\\n  /**\\n   * This makes all \"float:right\" elements after it that spill over to the next line\\n   * display way below the lower boundary of the column thus hiding them.\\n   */\\n  display: inline-block;\\n  float: left;\\n  margin-bottom: 100px;\\n}\\n.bk-root .slick-header-button {\\n  display: inline-block;\\n  float: right;\\n  vertical-align: top;\\n  margin: 1px;\\n  /**\\n  * This makes all \"float:right\" elements after it that spill over to the next line\\n  * display way below the lower boundary of the column thus hiding them.\\n  */\\n  margin-bottom: 100px;\\n  height: 15px;\\n  width: 15px;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-button-hidden {\\n  width: 0;\\n  -webkit-transition: 0.2s width;\\n  -ms-transition: 0.2s width;\\n  transition: 0.2s width;\\n}\\n.bk-root .slick-header-column:hover > .slick-header-button {\\n  width: 15px;\\n}\\n.bk-root .slick-header-menubutton {\\n  position: absolute;\\n  right: 0;\\n  top: 0;\\n  bottom: 0;\\n  width: 14px;\\n  background-repeat: no-repeat;\\n  background-position: left center;\\n  background-image: url(../images/down.gif);\\n  cursor: pointer;\\n  display: none;\\n  border-left: thin ridge silver;\\n}\\n.bk-root .slick-header-column:hover > .slick-header-menubutton,\\n.bk-root .slick-header-column-active .slick-header-menubutton {\\n  display: inline-block;\\n}\\n.bk-root .slick-header-menu {\\n  position: absolute;\\n  display: inline-block;\\n  margin: 0;\\n  padding: 2px;\\n  cursor: default;\\n}\\n.bk-root .slick-header-menuitem {\\n  list-style: none;\\n  margin: 0;\\n  padding: 0;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-menuicon {\\n  display: inline-block;\\n  width: 16px;\\n  height: 16px;\\n  vertical-align: middle;\\n  margin-right: 4px;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .slick-header-menucontent {\\n  display: inline-block;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-header-menuitem-disabled {\\n  color: silver;\\n}\\n.bk-root .slick-columnpicker {\\n  border: 1px solid #718BB7;\\n  background: #f0f0f0;\\n  padding: 6px;\\n  -moz-box-shadow: 2px 2px 2px silver;\\n  -webkit-box-shadow: 2px 2px 2px silver;\\n  box-shadow: 2px 2px 2px silver;\\n  min-width: 150px;\\n  cursor: default;\\n  position: absolute;\\n  z-index: 20;\\n  overflow: auto;\\n  resize: both;\\n}\\n.bk-root .slick-columnpicker > .close {\\n  float: right;\\n}\\n.bk-root .slick-columnpicker .title {\\n  font-size: 16px;\\n  width: 60%;\\n  border-bottom: solid 1px #d6d6d6;\\n  margin-bottom: 10px;\\n}\\n.bk-root .slick-columnpicker li {\\n  list-style: none;\\n  margin: 0;\\n  padding: 0;\\n  background: none;\\n}\\n.bk-root .slick-columnpicker input {\\n  margin: 4px;\\n}\\n.bk-root .slick-columnpicker li a {\\n  display: block;\\n  padding: 4px;\\n  font-weight: bold;\\n}\\n.bk-root .slick-columnpicker li a:hover {\\n  background: white;\\n}\\n.bk-root .slick-pager {\\n  width: 100%;\\n  height: 26px;\\n  border: 1px solid gray;\\n  border-top: 0;\\n  background: url(\\'../images/header-columns-bg.gif\\') repeat-x center bottom;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-status {\\n  display: inline-block;\\n  padding: 6px;\\n}\\n.bk-root .slick-pager .ui-icon-container {\\n  display: inline-block;\\n  margin: 2px;\\n  border-color: gray;\\n}\\n.bk-root .slick-pager .slick-pager-nav {\\n  display: inline-block;\\n  float: left;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings {\\n  display: block;\\n  float: right;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings * {\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-settings a {\\n  padding: 2px;\\n  text-decoration: underline;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-columns {\\n  background-image: url(\"data:image/gif;base64,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\");\\n}\\n.bk-root .slick-header-column {\\n  background-image: url(\"data:image/gif;base64,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\");\\n}\\n.bk-root .slick-header-column:hover,\\n.bk-root .slick-header-column-active {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhAgAWAIcAAKrM9tno++vz/QAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAAAAP8ALAAAAAACABYAAAgUAAUIHEiwoIAACBMqXMhwIQAAAQEAOw==\");\\n}\\n.bk-root .slick-group-toggle.expanded {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhCQAJAPcAAAFGeoCAgNXz/+v5/+v6/+z5/+36//L7//X8//j9/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAACQAJAAAIMwADCBxIUIDBgwIEChgwwECBAgQUFjBAkaJCABgxGlB4AGHCAAIQiBypEEECkScJqgwQEAA7\");\\n}\\n.bk-root .slick-group-toggle.collapsed {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhCQAJAPcAAAFGeoCAgNXz/+v5/+v6/+z5/+36//L7//X8//j9/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAACQAJAAAIOAADCBxIUIDBgwIEChgwAECBAgQUFjAAQIABAwoBaNSIMYCAAwIqGlSIAEHFkiQTIBCgkqDLAAEBADs=\");\\n}\\n.bk-root .slick-group-select-checkbox.checked {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .slick-group-select-checkbox.unchecked {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAA4AAAAOCAIAAACQKrqGAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAOwQAADsEBuJFr7QAAABl0RVh0U29mdHdhcmUAcGFpbnQubmV0IDQuMC4xNkRpr/UAAACXSURBVChT1dIxC4MwEAXg/v8/VOhQVDBNakV0KA6pxS4JhWRSIYPEJxwdDi1de7wleR+3JIf486w0hKCKRpSvvOhZcCmvNQBRuKqdah03U7UjNNH81rOaBYDo8SQaPX8JANFEaLaGBeAPaaY61rGksiN6TmR5H1j9CSoAosYYHLA7vTxYMvVEZa0liif23r93xjm3/oEYF8PiDn/I2FHCAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .slick-sort-indicator-desc {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDQAFAIcAAGGQzUD/QOPu+wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAMAAAEALAAAAAANAAUAAAgeAAUAGEgQgIAACBEKLHgwYcKFBh1KFNhQosOKEgMCADs=\");\\n}\\n.bk-root .slick-sort-indicator-asc {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDQAFAIcAAGGQzUD/QOPu+wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAMAAAEALAAAAAANAAUAAAgbAAMIDABgoEGDABIeRJhQ4cKGEA8KmEiRosGAADs=\");\\n}\\n.bk-root .slick-header-menubutton {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDgAOAIABADtKYwAAACH5BAEAAAEALAAAAAAOAA4AAAISjI+py+0PHZgUsGobhTn6DxoFADs=\");\\n}\\n.bk-root .slick-pager {\\n  background-image: url(\"data:image/gif;base64,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\");\\n}\\n'},\n",
+       "      461: function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default='\\n.bk-root .bk-data-table {\\n  box-sizing: content-box;\\n  font-size: 11px;\\n}\\n.bk-root .bk-data-table input[type=\"checkbox\"] {\\n  margin-left: 4px;\\n  margin-right: 4px;\\n}\\n.bk-root .bk-cell-special-defaults {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n}\\n.bk-root .bk-cell-select {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n}\\n.bk-root .bk-cell-index {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n  text-align: right;\\n  color: gray;\\n}\\n.bk-root .bk-header-index .slick-column-name {\\n  float: right;\\n}\\n.bk-root .slick-row.selected .bk-cell-index {\\n  background-color: transparent;\\n}\\n.bk-root .slick-cell {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .slick-cell.active {\\n  border-style: dashed;\\n}\\n.bk-root .slick-cell.editable {\\n  padding-left: 0;\\n  padding-right: 0;\\n}\\n.bk-root .bk-cell-editor input,\\n.bk-root .bk-cell-editor select {\\n  width: 100%;\\n  height: 100%;\\n  border: 0;\\n  margin: 0;\\n  padding: 0;\\n  outline: 0;\\n  background: transparent;\\n  vertical-align: baseline;\\n}\\n.bk-root .bk-cell-editor input {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .bk-cell-editor-completion {\\n  font-size: 11px;\\n}\\n'},\n",
+       "      462: function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=i.__importDefault(t(159)),a=i.__importStar(t(161)),n=t(463),s=i.__importStar(t(18)),c=t(68),l=t(8),m=t(71);class _ extends m.Model{constructor(t){super(t)}doFormat(t,e,r,i,o){return null==r?\"\":(r+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}}r.CellFormatter=_,_.__name__=\"CellFormatter\";class u extends _{constructor(t){super(t)}static init_StringFormatter(){this.define({font_style:[s.FontStyle,\"normal\"],text_align:[s.TextAlign,\"left\"],text_color:[s.Color]})}doFormat(t,e,r,i,o){const{font_style:a,text_align:n,text_color:s}=this,l=c.div({},null==r?\"\":\"\"+r);switch(a){case\"bold\":l.style.fontWeight=\"bold\";break;case\"italic\":l.style.fontStyle=\"italic\"}return null!=n&&(l.style.textAlign=n),null!=s&&(l.style.color=s),l.outerHTML}}r.StringFormatter=u,u.__name__=\"StringFormatter\",u.init_StringFormatter();class F extends u{constructor(t){super(t)}static init_ScientificFormatter(){this.define({precision:[s.Number,10],power_limit_high:[s.Number,5],power_limit_low:[s.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}doFormat(t,e,r,i,o){const a=r<=this.scientific_limit_low||r>=this.scientific_limit_high;let n=this.precision;return n<1&&(n=1),r=a?r.toExponential(n):r.toFixed(n).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"),super.doFormat(t,e,r,i,o)}}r.ScientificFormatter=F,F.__name__=\"ScientificFormatter\",F.init_ScientificFormatter();class d extends u{constructor(t){super(t)}static init_NumberFormatter(){this.define({format:[s.String,\"0,0\"],language:[s.String,\"en\"],rounding:[s.RoundingFunction,\"round\"]})}doFormat(t,e,r,i,o){const{format:n,language:s}=this,c=(()=>{switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}})();return r=a.format(r,n,s,c),super.doFormat(t,e,r,i,o)}}r.NumberFormatter=d,d.__name__=\"NumberFormatter\",d.init_NumberFormatter();class g extends _{constructor(t){super(t)}static init_BooleanFormatter(){this.define({icon:[s.String,\"check\"]})}doFormat(t,e,r,i,o){return r?c.i({class:this.icon}).outerHTML:\"\"}}r.BooleanFormatter=g,g.__name__=\"BooleanFormatter\",g.init_BooleanFormatter();class p extends _{constructor(t){super(t)}static init_DateFormatter(){this.define({format:[s.String,\"ISO-8601\"]})}getFormat(){switch(this.format){case\"ATOM\":case\"W3C\":case\"RFC-3339\":case\"ISO-8601\":return\"%Y-%m-%d\";case\"COOKIE\":return\"%a, %d %b %Y\";case\"RFC-850\":return\"%A, %d-%b-%y\";case\"RFC-1123\":case\"RFC-2822\":return\"%a, %e %b %Y\";case\"RSS\":case\"RFC-822\":case\"RFC-1036\":return\"%a, %e %b %y\";case\"TIMESTAMP\":return;default:return this.format}}doFormat(t,e,r,i,a){r=l.isString(r)?parseInt(r,10):r;const n=o.default(r,this.getFormat());return super.doFormat(t,e,n,i,a)}}r.DateFormatter=p,p.__name__=\"DateFormatter\",p.init_DateFormatter();class h extends _{constructor(t){super(t)}static init_HTMLTemplateFormatter(){this.define({template:[s.String,\"<%= value %>\"]})}doFormat(t,e,r,i,o){const{template:a}=this;if(null==r)return\"\";return n._.template(a)(Object.assign(Object.assign({},o),{value:r}))}}r.HTMLTemplateFormatter=h,h.__name__=\"HTMLTemplateFormatter\",h.init_HTMLTemplateFormatter()},\n",
+       "      463: function _(e,n,t){var f=e(464),i=f.template;function o(e,n,t){return i(e,n,t)}o._=f,n.exports=o,\"function\"==typeof define&&define.amd?define((function(){return o})):\"undefined\"==typeof window&&\"undefined\"==typeof navigator||(window.UnderscoreTemplate=o)},\n",
+       "      464: function _(r,e,n){\n",
+       "      //     (c) 2009-2013 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
+       "      //     Underscore may be freely distributed under the MIT license.\n",
+       "      var t={},a=Array.prototype,u=Object.prototype,c=a.slice,o=u.toString,l=u.hasOwnProperty,i=a.forEach,f=Object.keys,s=Array.isArray,p=function(){},_=p.each=p.forEach=function(r,e,n){if(null!=r)if(i&&r.forEach===i)r.forEach(e,n);else if(r.length===+r.length){for(var a=0,u=r.length;a<u;a++)if(e.call(n,r[a],a,r)===t)return}else{var c=p.keys(r);for(a=0,u=c.length;a<u;a++)if(e.call(n,r[c[a]],c[a],r)===t)return}};p.keys=f||function(r){if(r!==Object(r))throw new TypeError(\"Invalid object\");var e=[];for(var n in r)p.has(r,n)&&e.push(n);return e},p.defaults=function(r){return _(c.call(arguments,1),(function(e){if(e)for(var n in e)void 0===r[n]&&(r[n]=e[n])})),r},p.isArray=s||function(r){return\"[object Array]\"===o.call(r)},p.has=function(r,e){if(!p.isArray(e))return null!=r&&l.call(r,e);for(var n=e.length,t=0;t<n;t++){var a=e[t];if(null==r||!l.call(r,a))return!1;r=r[a]}return!!n};var h={escape:{\"&\":\"&amp;\",\"<\":\"&lt;\",\">\":\"&gt;\",'\"':\"&quot;\",\"'\":\"&#x27;\"}},v={escape:new RegExp(\"[\"+p.keys(h.escape).join(\"\")+\"]\",\"g\")};p.each([\"escape\"],(function(r){p[r]=function(e){return null==e?\"\":(\"\"+e).replace(v[r],(function(e){return h[r][e]}))}})),p.templateSettings={evaluate:/<%([\\s\\S]+?)%>/g,interpolate:/<%=([\\s\\S]+?)%>/g,escape:/<%-([\\s\\S]+?)%>/g};var g=/(.)^/,y={\"'\":\"'\",\"\\\\\":\"\\\\\",\"\\r\":\"r\",\"\\n\":\"n\",\"\\t\":\"t\",\"\\u2028\":\"u2028\",\"\\u2029\":\"u2029\"},j=/\\\\|'|\\r|\\n|\\t|\\u2028|\\u2029/g;p.template=function(r,e,n){var t;n=p.defaults({},n,p.templateSettings);var a=new RegExp([(n.escape||g).source,(n.interpolate||g).source,(n.evaluate||g).source].join(\"|\")+\"|$\",\"g\"),u=0,c=\"__p+='\";r.replace(a,(function(e,n,t,a,o){return c+=r.slice(u,o).replace(j,(function(r){return\"\\\\\"+y[r]})),n&&(c+=\"'+\\n((__t=(\"+n+\"))==null?'':_.escape(__t))+\\n'\"),t&&(c+=\"'+\\n((__t=(\"+t+\"))==null?'':__t)+\\n'\"),a&&(c+=\"';\\n\"+a+\"\\n__p+='\"),u=o+e.length,e})),c+=\"';\\n\",n.variable||(c=\"with(obj||{}){\\n\"+c+\"}\\n\"),c=\"var __t,__p='',__j=Array.prototype.join,print=function(){__p+=__j.call(arguments,'');};\\n\"+c+\"return __p;\\n\";try{t=new Function(n.variable||\"obj\",\"_\",c)}catch(r){throw r.source=c,r}if(e)return t(e,p);var o=function(r){return t.call(this,r,p)};return o.source=\"function(\"+(n.variable||\"obj\")+\"){\\n\"+c+\"}\",o},e.exports=p},\n",
+       "      465: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),o=t(462),n=t(440),l=r.__importStar(t(18)),a=t(24),d=t(71);class s extends d.Model{constructor(t){super(t)}static init_TableColumn(){this.define({field:[l.String],title:[l.String],width:[l.Number,300],formatter:[l.Instance,()=>new o.StringFormatter],editor:[l.Instance,()=>new n.StringEditor],sortable:[l.Boolean,!0],default_sort:[l.Sort,\"ascending\"]})}toColumn(){var t;return{id:a.uniqueId(),field:this.field,name:null!==(t=this.title)&&void 0!==t?t:this.field,width:this.width,formatter:null!=this.formatter?this.formatter.doFormat.bind(this.formatter):void 0,model:this.editor,editor:this.editor.default_view,sortable:this.sortable,defaultSortAsc:\"ascending\"==this.default_sort}}}i.TableColumn=s,s.__name__=\"TableColumn\",s.init_TableColumn()},\n",
+       "      466: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=t(1),a=t(448),{Avg:i,Min:o,Max:g,Sum:n}=a.Data.Aggregators,u=r.__importStar(t(18)),c=t(71);class _ extends c.Model{constructor(t){super(t)}static init_RowAggregator(){this.define({field_:[u.String,\"\"]})}}s.RowAggregator=_,_.__name__=\"RowAggregator\",_.init_RowAggregator();const l=new i;class m extends _{constructor(){super(...arguments),this.key=\"avg\",this.init=l.init,this.accumulate=l.accumulate,this.storeResult=l.storeResult}}s.AvgAggregator=m,m.__name__=\"AvgAggregator\";const h=new o;class A extends _{constructor(){super(...arguments),this.key=\"min\",this.init=h.init,this.accumulate=h.accumulate,this.storeResult=h.storeResult}}s.MinAggregator=A,A.__name__=\"MinAggregator\";const R=new g;class d extends _{constructor(){super(...arguments),this.key=\"max\",this.init=R.init,this.accumulate=R.accumulate,this.storeResult=R.storeResult}}s.MaxAggregator=d,d.__name__=\"MaxAggregator\";const x=new n;class w extends _{constructor(){super(...arguments),this.key=\"sum\",this.init=x.init,this.accumulate=x.accumulate,this.storeResult=x.storeResult}}s.SumAggregator=w,w.__name__=\"SumAggregator\"},\n",
+       "      467: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1).__importStar(t(18)),r=t(68),i=t(448),a=t(441),n=t(71);function l(t,e,s,o,i){const{collapsed:a,level:n,title:l}=i,u=r.span({class:\"slick-group-toggle \"+(a?\"collapsed\":\"expanded\"),style:{\"margin-left\":15*n+\"px\"}}),g=r.span({class:\"slick-group-title\",level:n},l);return`${u.outerHTML}${g.outerHTML}`}function u(t,e){const s=this.getDataItem(e.row);s instanceof i.Group&&t.target.classList.contains(\"slick-group-toggle\")&&(s.collapsed?this.getData().expandGroup(s.groupingKey):this.getData().collapseGroup(s.groupingKey),t.stopImmediatePropagation(),t.preventDefault(),this.invalidate(),this.render())}class g extends n.Model{constructor(t){super(t)}static init_GroupingInfo(){this.define({getter:[o.String,\"\"],aggregators:[o.Array,[]],collapsed:[o.Boolean,!1]})}get comparer(){return(t,e)=>t.value===e.value?0:t.value>e.value?1:-1}}s.GroupingInfo=g,g.__name__=\"GroupingInfo\",g.init_GroupingInfo();class c extends a.TableDataProvider{constructor(t,e,s,o){super(t,e),this.columns=s,this.groupingInfos=[],this.groupingDelimiter=\":|:\",this.target=o}setGrouping(t){this.groupingInfos=t,this.toggledGroupsByLevel=t.map(()=>({})),this.refresh()}extractGroups(t,e){const s=[],o=new Map,r=e?e.level+1:0,{comparer:a,getter:n}=this.groupingInfos[r];return t.forEach(t=>{const a=this.source.data[n][t];let l=o.get(a);if(!l){const t=e?`${e.groupingKey}${this.groupingDelimiter}${a}`:\"\"+a;l=Object.assign(new i.Group,{value:a,level:r,groupingKey:t}),s.push(l),o.set(a,l)}l.rows.push(t)}),r<this.groupingInfos.length-1&&s.forEach(t=>{t.groups=this.extractGroups(t.rows,t)}),s.sort(a),s}calculateTotals(t,e){const s={avg:{},max:{},min:{},sum:{}},{source:{data:o}}=this,r=Object.keys(o),i=t.rows.map(t=>r.reduce((e,s)=>Object.assign(Object.assign({},e),{[s]:o[s][t]}),{}));return e.forEach(t=>{t.init(),i.forEach(e=>t.accumulate(e)),t.storeResult(s)}),s}addTotals(t,e=0){const{aggregators:s,collapsed:o}=this.groupingInfos[e],r=this.toggledGroupsByLevel[e];t.forEach(t=>{t.groups&&this.addTotals(t.groups,e+1),s.length&&t.rows.length&&(t.totals=this.calculateTotals(t,s)),t.collapsed=o!==r[t.groupingKey],t.title=t.value?\"\"+t.value:\"\"})}flattenedGroupedRows(t,e=0){const s=[];return t.forEach(t=>{if(s.push(t),!t.collapsed){const o=t.groups?this.flattenedGroupedRows(t.groups,e+1):t.rows;s.push(...o)}}),s}refresh(){const t=this.extractGroups(this.view.indices),e=this.source.data[this.columns[0].field];t.length&&(this.addTotals(t),this.rows=this.flattenedGroupedRows(t),this.target.data={row_indices:this.rows.map(t=>t instanceof i.Group?t.rows:t),labels:this.rows.map(t=>t instanceof i.Group?t.title:e[t])})}getLength(){return this.rows.length}getItem(t){const e=this.rows[t],{source:{data:s}}=this;return e instanceof i.Group?e:Object.keys(s).reduce((t,o)=>Object.assign(Object.assign({},t),{[o]:s[o][e]}),{[a.DTINDEX_NAME]:e})}getItemMetadata(t){const e=this.rows[t],s=this.columns.slice(1),o=e instanceof i.Group?this.groupingInfos[e.level].aggregators:[];return e instanceof i.Group?{selectable:!1,focusable:!1,cssClasses:\"slick-group\",columns:[{formatter:l},...s.map((function(t){const{field:e,formatter:s}=t,r=o.find(({field_:t})=>t===e);if(r){const{key:t}=r;return{formatter:(o,r,i,a,n)=>s?s(o,r,n.totals[t][e],a,n):\"\"}}return{}}))]}:{}}collapseGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=!this.groupingInfos[e].collapsed,this.refresh()}expandGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=this.groupingInfos[e].collapsed,this.refresh()}}s.DataCubeProvider=c,c.__name__=\"DataCubeProvider\";class p extends a.DataTableView{render(){const t={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:!1,forceFitColumns:this.model.fit_columns,multiColumnSort:!1,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height},e=this.model.columns.map(t=>t.toColumn());var s,o;e[0].formatter=(s=e[0].formatter,o=this.model.grouping.length,(t,e,i,a,n)=>{const l=r.span({class:\"slick-group-toggle\",style:{\"margin-left\":15*(o||0)+\"px\"}}),u=s?s(t,e,i,a,n):\"\"+i;return`${l.outerHTML}${u&&u.replace(/^<div/,\"<span\").replace(/div>$/,\"span>\")}`}),delete e[0].editor,this.data=new c(this.model.source,this.model.view,e,this.model.target),this.data.setGrouping(this.model.grouping),this.el.style.width=this.model.width+\"px\",this.grid=new i.Grid(this.el,this.data,e,t),this.grid.onClick.subscribe(u)}}s.DataCubeView=p,p.__name__=\"DataCubeView\";class h extends a.DataTable{constructor(t){super(t)}static init_DataCube(){this.prototype.default_view=p,this.define({grouping:[o.Array,[]],target:[o.Instance]})}}s.DataCube=h,h.__name__=\"DataCube\",h.init_DataCube()},\n",
+       "      }, 438, {\"models/widgets/tables/main\":438,\"models/widgets/tables/index\":439,\"models/widgets/tables/cell_editors\":440,\"models/widgets/tables/data_table\":441,\"models/widgets/tables/table_widget\":457,\"models/widgets/widget\":458,\"styles/widgets/tables\":459,\"styles/widgets/slickgrid.css\":460,\"styles/widgets/tables.css\":461,\"models/widgets/tables/cell_formatters\":462,\"models/widgets/tables/table_column\":465,\"models/widgets/tables/row_aggregators\":466,\"models/widgets/tables/data_cube\":467}, {});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END bokeh-tables.min.js */\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN bokeh-gl.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        factory(root[\"Bokeh\"], \"2.1.1\");\n",
+       "      })(this, function(Bokeh, version) {\n",
+       "        var define;\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
+       "          if (bokeh != null) {\n",
+       "            return bokeh.register_plugin(modules, entry, aliases);\n",
+       "          } else {\n",
+       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
+       "          }\n",
+       "        })\n",
+       "      ({\n",
+       "      370: function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(371)},\n",
+       "      371: function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);\n",
+       "      /*\n",
+       "          Copyright notice: many of the awesome techniques and  GLSL code contained in\n",
+       "          this module are based on work by Nicolas Rougier as part of the Glumpy and\n",
+       "          Vispy projects. The algorithms are published in\n",
+       "          http://jcgt.org/published/0003/04/01/ and http://jcgt.org/published/0002/02/08/\n",
+       "          \n",
+       "          This module contains all gl-specific code to add gl support for the glyphs.\n",
+       "          By implementing it separetely, the GL functionality can be spun off in a\n",
+       "          separate library.\n",
+       "          Other locations where we work with GL, or prepare for GL-rendering:\n",
+       "          - canvas.ts\n",
+       "          - plot.ts\n",
+       "          - glyph.ts\n",
+       "          - glyph_renderer.ts\n",
+       "          */o.__exportStar(e(372),_),o.__exportStar(e(377),_)},\n",
+       "      372: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(373),a=t(374),n=t(375),_=t(376),o=t(20);class h{constructor(t){this._atlas={},this._index=0,this._width=256,this._height=256,this.tex=new i.Texture2D(t),this.tex.set_wrapping(t.REPEAT,t.REPEAT),this.tex.set_interpolation(t.NEAREST,t.NEAREST),this.tex.set_size([this._height,this._width],t.RGBA),this.tex.set_data([0,0],[this._height,this._width],new Uint8Array(this._height*this._width*4)),this.get_atlas_data([1])}get_atlas_data(t){const e=t.join(\"-\");if(void 0===this._atlas[e]){const[s,i]=this.make_pattern(t);this.tex.set_data([this._index,0],[1,this._width],new Uint8Array(s.map(t=>t+10))),this._atlas[e]=[this._index/this._height,i],this._index+=1}return this._atlas[e]}make_pattern(t){t.length>1&&t.length%2&&(t=t.concat(t));let e=0;for(const s of t)e+=s;const s=[];let i=0;for(let e=0,a=t.length+2;e<a;e+=2){const a=Math.max(1e-4,t[e%t.length]),n=Math.max(1e-4,t[(e+1)%t.length]);s.push(i,i+a),i+=a+n}const a=this._width,n=new Float32Array(4*a);for(let t=0,i=a;t<i;t++){let i,_,o;const h=e*t/(a-1);let r=0,l=1e16;for(let t=0,e=s.length;t<e;t++){const e=Math.abs(s[t]-h);e<l&&(r=t,l=e)}r%2==0?(o=h<=s[r]?1:0,_=s[r],i=s[r+1]):(o=h>s[r]?-1:0,_=s[r-1],i=s[r]),n[4*t+0]=s[r],n[4*t+1]=o,n[4*t+2]=_,n[4*t+3]=i}return[n,e]}}h.__name__=\"DashAtlas\";const r={miter:0,round:1,bevel:2},l={\"\":0,none:0,\".\":0,round:1,\")\":1,\"(\":1,o:1,\"triangle in\":2,\"<\":2,\"triangle out\":3,\">\":3,square:4,\"[\":4,\"]\":4,\"=\":4,butt:5,\"|\":5};class g extends a.BaseGLGlyph{init(){const{gl:t}=this;this._scale_aspect=0;const e=n.vertex_shader,s=_.fragment_shader;this.prog=new i.Program(t),this.prog.set_shaders(e,s),this.index_buffer=new i.IndexBuffer(t),this.vbo_position=new i.VertexBuffer(t),this.vbo_tangents=new i.VertexBuffer(t),this.vbo_segment=new i.VertexBuffer(t),this.vbo_angles=new i.VertexBuffer(t),this.vbo_texcoord=new i.VertexBuffer(t),this.dash_atlas=new h(t)}draw(t,e,s){const i=e.glglyph;if(i.data_changed){if(!isFinite(s.dx)||!isFinite(s.dy))return;i._baked_offset=[s.dx,s.dy],i._set_data(),i.data_changed=!1}this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);let{sx:a,sy:n}=s;const _=Math.sqrt(a*a+n*n);a/=_,n/=_,Math.abs(this._scale_aspect-n/a)>Math.abs(.001*this._scale_aspect)&&(i._update_scale(a,n),this._scale_aspect=n/a),this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord),this.prog.set_uniform(\"u_length\",\"float\",[i.cumsum]),this.prog.set_texture(\"u_dash_atlas\",this.dash_atlas.tex);const o=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[s.dx-o[0],s.dy-o[1]]),this.prog.set_uniform(\"u_scale_aspect\",\"vec2\",[a,n]),this.prog.set_uniform(\"u_scale_length\",\"float\",[_]),this.I_triangles=i.I_triangles,this.I_triangles.length<65535)this.index_buffer.set_size(2*this.I_triangles.length),this.index_buffer.set_data(0,new Uint16Array(this.I_triangles)),this.prog.draw(this.gl.TRIANGLES,this.index_buffer);else{t=Array.from(this.I_triangles);const e=this.I_triangles.length,s=64008,a=[];for(let t=0,i=Math.ceil(e/s);t<i;t++)a.push([]);for(let e=0,i=t.length;e<i;e++){const i=t[e]%s;a[Math.floor(t[e]/s)].push(i)}for(let t=0,e=a.length;t<e;t++){const e=new Uint16Array(a[t]),n=t*s*4;0!==e.length&&(this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position,0,2*n),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents,0,4*n),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment,0,2*n),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles,0,2*n),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord,0,2*n),this.index_buffer.set_size(2*e.length),this.index_buffer.set_data(0,e),this.prog.draw(this.gl.TRIANGLES,this.index_buffer))}}}_set_data(){this._bake(),this.vbo_position.set_size(4*this.V_position.length),this.vbo_position.set_data(0,this.V_position),this.vbo_tangents.set_size(4*this.V_tangents.length),this.vbo_tangents.set_data(0,this.V_tangents),this.vbo_angles.set_size(4*this.V_angles.length),this.vbo_angles.set_data(0,this.V_angles),this.vbo_texcoord.set_size(4*this.V_texcoord.length),this.vbo_texcoord.set_data(0,this.V_texcoord)}_set_visuals(){const t=o.color2rgba(this.glyph.visuals.line.line_color.value(),this.glyph.visuals.line.line_alpha.value()),e=l[this.glyph.visuals.line.line_cap.value()],s=r[this.glyph.visuals.line.line_join.value()];this.prog.set_uniform(\"u_color\",\"vec4\",t),this.prog.set_uniform(\"u_linewidth\",\"float\",[this.glyph.visuals.line.line_width.value()]),this.prog.set_uniform(\"u_antialias\",\"float\",[.9]),this.prog.set_uniform(\"u_linecaps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_linejoin\",\"float\",[s]),this.prog.set_uniform(\"u_miter_limit\",\"float\",[10]);const i=this.glyph.visuals.line.line_dash.value();let a=0,n=1;i.length&&([a,n]=this.dash_atlas.get_atlas_data(i)),this.prog.set_uniform(\"u_dash_index\",\"float\",[a]),this.prog.set_uniform(\"u_dash_phase\",\"float\",[this.glyph.visuals.line.line_dash_offset.value()]),this.prog.set_uniform(\"u_dash_period\",\"float\",[n]),this.prog.set_uniform(\"u_dash_caps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_closed\",\"float\",[0])}_bake(){let t,e,s,i,a,n,_,o;const h=this.nvertices,r=new Float64Array(this.glyph._x),l=new Float64Array(this.glyph._y),g=_=new Float32Array(2*h),f=new Float32Array(2*h),u=o=new Float32Array(4*h);for(let t=0,e=h;t<e;t++)g[2*t+0]=r[t]+this._baked_offset[0],g[2*t+1]=l[t]+this._baked_offset[1];this.tangents=e=new Float32Array(2*h-2);for(let t=0,s=h-1;t<s;t++)e[2*t+0]=_[2*(t+1)+0]-_[2*t+0],e[2*t+1]=_[2*(t+1)+1]-_[2*t+1];for(let t=0,s=h-1;t<s;t++)u[4*(t+1)+0]=e[2*t+0],u[4*(t+1)+1]=e[2*t+1],u[4*t+2]=e[2*t+0],u[4*t+3]=e[2*t+1];u[0]=e[0],u[1]=e[1],u[4*(h-1)+2]=e[2*(h-2)+0],u[4*(h-1)+3]=e[2*(h-2)+1];const c=new Float32Array(h);for(let t=0,e=h;t<e;t++)c[t]=Math.atan2(o[4*t+0]*o[4*t+3]-o[4*t+1]*o[4*t+2],o[4*t+0]*o[4*t+2]+o[4*t+1]*o[4*t+3]);for(let t=0,e=h-1;t<e;t++)f[2*t+0]=c[t],f[2*t+1]=c[t+1];const d=4*h-4;this.V_position=i=new Float32Array(2*d),this.V_angles=s=new Float32Array(2*d),this.V_tangents=a=new Float32Array(4*d),this.V_texcoord=n=new Float32Array(2*d);for(let t=0,e=h;t<e;t++)for(let e=0;e<4;e++){for(let a=0;a<2;a++)i[2*(4*t+e-2)+a]=g[2*t+a],s[2*(4*t+e)+a]=f[2*t+a];for(let s=0;s<4;s++)a[4*(4*t+e-2)+s]=u[4*t+s]}for(let t=0,e=h;t<e;t++)n[2*(4*t+0)+0]=-1,n[2*(4*t+1)+0]=-1,n[2*(4*t+2)+0]=1,n[2*(4*t+3)+0]=1,n[2*(4*t+0)+1]=-1,n[2*(4*t+1)+1]=1,n[2*(4*t+2)+1]=-1,n[2*(4*t+3)+1]=1;const p=6*(h-1);this.I_triangles=t=new Uint32Array(p);for(let e=0,s=h;e<s;e++)t[6*e+0]=0+4*e,t[6*e+1]=1+4*e,t[6*e+2]=3+4*e,t[6*e+3]=2+4*e,t[6*e+4]=0+4*e,t[6*e+5]=3+4*e}_update_scale(t,e){let s;const i=this.nvertices,a=4*i-4,n=this.tangents,_=new Float32Array(i-1),o=new Float32Array(2*i);this.V_segment=s=new Float32Array(2*a);for(let s=0,a=i-1;s<a;s++)_[s]=Math.sqrt((n[2*s+0]*t)**2+(n[2*s+1]*e)**2);let h=0;for(let t=0,e=i-1;t<e;t++)h+=_[t],o[2*(t+1)+0]=h,o[2*t+1]=h;for(let t=0,e=i;t<e;t++)for(let e=0;e<4;e++)for(let i=0;i<2;i++)s[2*(4*t+e)+i]=o[2*t+i];this.cumsum=h,this.vbo_segment.set_size(4*this.V_segment.length),this.vbo_segment.set_data(0,this.V_segment)}}s.LineGLGlyph=g,g.__name__=\"LineGLGlyph\"},\n",
+       "      373: function _(t,e,r){var n,o,i,a,s,l,h,u,c,_=function(t,e){return Array.isArray(t)&&Array.isArray(e)?t.concat(e):t+e},f=function(t,e){if(null==e);else{if(Array.isArray(e)){for(var r=0;r<e.length;r++)if(p(t,e[r]))return!0;return!1}if(e.constructor===Object){for(var n in e)if(t==n)return!0;return!1}if(e.constructor==String)return e.indexOf(t)>=0}var o=Error(\"Not a container: \"+e);throw o.name=\"TypeError\",o},p=function t(e,r){if(null==e||null==r);else{if(Array.isArray(e)&&Array.isArray(r)){for(var n=0,o=e.length==r.length;o&&n<e.length;)o=t(e[n],r[n]),n+=1;return o}if(e.constructor===Object&&r.constructor===Object){var i=Object.keys(e),a=Object.keys(r);i.sort(),a.sort();var s;for(n=0,o=t(i,a);o&&n<i.length;)o=t(e[s=i[n]],r[s]),n+=1;return o}}return e==r},d=function(t,e){if(void 0===t||\"undefined\"!=typeof window&&window===t||\"undefined\"!=typeof global&&global===t)throw\"Class constructor is called as a function.\";for(var r in t)void 0!==Object[r]||\"function\"!=typeof t[r]||t[r].nobind||(t[r]=t[r].bind(t));t.__init__&&t.__init__.apply(t,e)},y=function(t,e){if((\"number\"==typeof t)+(\"number\"==typeof e)===1){if(t.constructor===String)return A.call(t,e);if(e.constructor===String)return A.call(e,t);if(Array.isArray(e)){var r=t;t=e,e=r}if(Array.isArray(t)){for(var n=[],o=0;o<e;o++)n=n.concat(t);return n}}return t*e},g=function(t){return null===t||\"object\"!=typeof t?t:void 0!==t.length?!!t.length&&t:void 0!==t.byteLength?!!t.byteLength&&t:t.constructor!==Object||!!Object.getOwnPropertyNames(t).length&&t},v=function(t){if(!Array.isArray(this))return this.append.apply(this,arguments);this.push(t)},m=function(t,e){return this.constructor!==Object?this.get.apply(this,arguments):void 0!==this[t]?this[t]:void 0!==e?e:null},x=function(){return\"function\"==typeof this.keys?this.keys.apply(this,arguments):Object.keys(this)},b=function(t){if(this.constructor!==String)return this.lstrip.apply(this,arguments);t=void 0===t?\" \\t\\r\\n\":t;for(var e=0;e<this.length;e++)if(t.indexOf(this[e])<0)return this.slice(e);return\"\"},E=function(t){if(!Array.isArray(this))return this.remove.apply(this,arguments);for(var e=0;e<this.length;e++)if(p(this[e],t))return void this.splice(e,1);var r=Error(t);throw r.name=\"ValueError\",r},A=function(t){if(this.repeat)return this.repeat(t);if(t<1)return\"\";for(var e=\"\",r=this.valueOf();t>1;)1&t&&(e+=r),t>>=1,r+=r;return e+r},w=function(t){return this.constructor!==String?this.startswith.apply(this,arguments):0==this.indexOf(t)};c=window.console,u=function(t,e){var r,n,o,i,a,s,l;for(e=void 0===e?\"periodic check\":e,i=[];n=t.getError(),!(p(n,t.NO_ERROR)||g(i)&&p(n,i[i.length-1]));)v.call(i,n);if(i.length){for(a=\"\",\"object\"!=typeof(s=i)||Array.isArray(s)||(s=Object.keys(s)),l=0;l<s.length;l+=1)r=s[l],a=_(a,r);throw(o=new Error(\"RuntimeError:OpenGL got errors (\"+e+\"): \"+a)).name=\"RuntimeError\",o}return null},(o=function(){d(this,arguments)}).prototype._base_class=Object,o.prototype._class_name=\"GlooObject\",o.prototype.__init__=function(t){if(this._gl=t,this.handle=null,this._create(),null===this.handle)throw\"AssertionError: this.handle !== null\";return null},o.prototype._create=function(){var t;throw(t=new Error(\"NotImplementedError:\")).name=\"NotImplementedError\",t},((a=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,a.prototype._class_name=\"Program\",a.prototype.UTYPEMAP={float:\"uniform1fv\",vec2:\"uniform2fv\",vec3:\"uniform3fv\",vec4:\"uniform4fv\",int:\"uniform1iv\",ivec2:\"uniform2iv\",ivec3:\"uniform3iv\",ivec4:\"uniform4iv\",bool:\"uniform1iv\",bvec2:\"uniform2iv\",bvec3:\"uniform3iv\",bvec4:\"uniform4iv\",mat2:\"uniformMatrix2fv\",mat3:\"uniformMatrix3fv\",mat4:\"uniformMatrix4fv\",sampler1D:\"uniform1i\",sampler2D:\"uniform1i\",sampler3D:\"uniform1i\"},a.prototype.ATYPEMAP={float:\"vertexAttrib1f\",vec2:\"vertexAttrib2f\",vec3:\"vertexAttrib3f\",vec4:\"vertexAttrib4f\"},a.prototype.ATYPEINFO={float:[1,5126],vec2:[2,5126],vec3:[3,5126],vec4:[4,5126]},a.prototype._create=function(){return this.handle=this._gl.createProgram(),this.locations={},this._unset_variables=[],this._validated=!1,this._samplers={},this._attributes={},this._known_invalid=[],null},a.prototype.delete=function(){return this._gl.deleteProgram(this.handle),null},a.prototype.activate=function(){return this._gl.useProgram(this.handle),null},a.prototype.deactivate=function(){return this._gl.useProgram(0),null},a.prototype.set_shaders=function(t,e){var r,n,o,i,a,s,l,h,u,c,f,p,d;for(s=this._gl,this._linked=!1,f=[[t,d=s.createShader(s.VERTEX_SHADER),\"vertex\"],[e,a=s.createShader(s.FRAGMENT_SHADER),\"fragment\"]],h=0;h<2;h+=1)if(r=(c=f[h])[0],l=c[1],p=c[2],s.shaderSource(l,r),s.compileShader(l),u=s.getShaderParameter(l,s.COMPILE_STATUS),!g(u))throw i=s.getShaderInfoLog(l),(o=new Error(\"RuntimeError:\"+_(\"errors in \"+p+\" shader:\\n\",i))).name=\"RuntimeError\",o;if(s.attachShader(this.handle,d),s.attachShader(this.handle,a),s.linkProgram(this.handle),!g(s.getProgramParameter(this.handle,s.LINK_STATUS)))throw(n=new Error(\"RuntimeError:Program link error:\\n\"+s.getProgramInfoLog(this.handle))).name=\"RuntimeError\",n;return this._unset_variables=this._get_active_attributes_and_uniforms(),s.detachShader(this.handle,d),s.detachShader(this.handle,a),s.deleteShader(d),s.deleteShader(a),this._known_invalid=[],this._linked=!0,null},a.prototype._get_active_attributes_and_uniforms=function(){var t,e,r,n,o,i,a,s,l,h,u,c,f,p,d,y,m,x;for(s=this._gl,this.locations={},p=new window.RegExp(\"(\\\\w+)\\\\s*(\\\\[(\\\\d+)\\\\])\\\\s*\"),o=s.getProgramParameter(this.handle,s.ACTIVE_UNIFORMS),e=s.getProgramParameter(this.handle,s.ACTIVE_ATTRIBUTES),x=[],\"object\"!=typeof(y=[[t=[],e,s.getActiveAttrib,s.getAttribLocation],[x,o,s.getActiveUniform,s.getUniformLocation]])||Array.isArray(y)||(y=Object.keys(y)),m=0;m<y.length;m+=1)for(r=(d=y[m])[0],n=d[1],i=d[2],a=d[3],l=0;l<n;l+=1){if(c=(f=(h=i.call(s,this.handle,l)).name).match(p),g(c))for(f=c[1],u=0;u<h.size;u+=1)v.call(r,[f+\"[\"+u+\"]\",h.type]);else v.call(r,[f,h.type]);this.locations[f]=a.call(s,this.handle,f)}return _(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(e[0]);return o}.apply(this),function(){var t,e,r,n=[];for(\"object\"!=typeof(e=x)||Array.isArray(e)||(e=Object.keys(e)),r=0;r<e.length;r++)t=e[r],n.push(t[0]);return n}.apply(this))},a.prototype.set_texture=function(t,e){var r,n,o;if(!g(this._linked))throw(r=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",r;return n=m.call(this.locations,t,-1),g(n<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active texture\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),o=x.call(this._samplers).length,f(t,this._samplers)&&(o=this._samplers[t][this._samplers[t].length-1]),this._samplers[t]=[e._target,e.handle,o],this._gl.uniform1i(n,o),null)},a.prototype.set_uniform=function(t,e,r){var n,o,i,a,s,l,h;if(!g(this._linked))throw(i=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",i;if(s=m.call(this.locations,t,-1),g(s<0))return f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active uniform\")),null;if(f(t,this._unset_variables)&&E.call(this._unset_variables,t),o=1,w.call(e,\"mat\")||(n=m.call({int:\"float\",bool:\"float\"},e,b.call(e,\"ib\")),o=Math.floor(r.length/this.ATYPEINFO[n][0])),g(o>1))for(l=0;l<o;l+=1)f(t+\"[\"+l+\"]\",this._unset_variables)&&f(h=t+\"[\"+l+\"]\",this._unset_variables)&&E.call(this._unset_variables,h);return a=this.UTYPEMAP[e],this.activate(),w.call(e,\"mat\")?this._gl[a](s,!1,r):this._gl[a](s,r),null},a.prototype.set_attribute=function(t,e,r,n,o){var i,a,s,l,u,_;if(n=void 0===n?0:n,o=void 0===o?0:o,!g(this._linked))throw(a=new Error(\"RuntimeError:Cannot set attribute when program has no code\")).name=\"RuntimeError\",a;return u=r instanceof h,l=m.call(this.locations,t,-1),g(l<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),g(u)&&g(o>0)||c.log(\"Variable \"+t+\" is not an active attribute\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),g(u)?(s=\"vertexAttribPointer\",i=[(_=this.ATYPEINFO[e])[0],_[1],this._gl.FALSE,n,o],this._attributes[t]=[r.handle,l,s,i]):(s=this.ATYPEMAP[e],this._attributes[t]=[0,l,s,r]),null)},a.prototype._pre_draw=function(){var t,e,r,n,o,i,a,s,l,h,u,c;for(c in this.activate(),a=this._samplers)a.hasOwnProperty(c)&&(l=(i=c=a[c])[0],s=i[1],h=i[2],this._gl.activeTexture(_(this._gl.TEXTURE0,h)),this._gl.bindTexture(l,s));for(c in o=this._attributes)o.hasOwnProperty(c)&&(u=(n=c=o[c])[0],e=n[1],r=n[2],t=n[3],g(u)?(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,u),this._gl.enableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))):(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,null),this._gl.disableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))));return g(this._validated)||(this._validated=!0,this._validate()),null},a.prototype._validate=function(){var t;if(this._unset_variables.length&&c.log(\"Program has unset variables: \"+this._unset_variables),this._gl.validateProgram(this.handle),!g(this._gl.getProgramParameter(this.handle,this._gl.VALIDATE_STATUS)))throw c.log(this._gl.getProgramInfoLog(this.handle)),(t=new Error(\"RuntimeError:Program validation error\")).name=\"RuntimeError\",t;return null},a.prototype.draw=function(t,e){var r,n,o,a,s;if(!g(this._linked))throw(n=new Error(\"RuntimeError:Cannot draw program if code has not been set\")).name=\"RuntimeError\",n;return u(this._gl,\"before draw\"),g(e instanceof i)?(this._pre_draw(),e.activate(),r=e._buffer_size/2,a=this._gl.UNSIGNED_SHORT,this._gl.drawElements(t,r,a,0),e.deactivate()):(o=(s=e)[0],r=s[1],g(r)&&(this._pre_draw(),this._gl.drawArrays(t,o,r))),u(this._gl,\"after draw\"),null},((n=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,n.prototype._class_name=\"Buffer\",n.prototype._target=null,n.prototype._usage=35048,n.prototype._create=function(){return this.handle=this._gl.createBuffer(),this._buffer_size=0,null},n.prototype.delete=function(){return this._gl.deleteBuffer(this.handle),null},n.prototype.activate=function(){return this._gl.bindBuffer(this._target,this.handle),null},n.prototype.deactivate=function(){return this._gl.bindBuffer(this._target,null),null},n.prototype.set_size=function(t){return p(t,this._buffer_size)||(this.activate(),this._gl.bufferData(this._target,t,this._usage),this._buffer_size=t),null},n.prototype.set_data=function(t,e){return this.activate(),this._gl.bufferSubData(this._target,t,e),null},(h=function(){d(this,arguments)}).prototype=Object.create(n.prototype),h.prototype._base_class=n.prototype,h.prototype._class_name=\"VertexBuffer\",h.prototype._target=34962,(i=function(){d(this,arguments)}).prototype=Object.create(n.prototype),i.prototype._base_class=n.prototype,i.prototype._class_name=\"IndexBuffer\",i.prototype._target=34963,((s=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,s.prototype._class_name=\"Texture2D\",s.prototype._target=3553,s.prototype._types={Int8Array:5120,Uint8Array:5121,Int16Array:5122,Uint16Array:5123,Int32Array:5124,Uint32Array:5125,Float32Array:5126},s.prototype._create=function(){return this.handle=this._gl.createTexture(),this._shape_format=null,null},s.prototype.delete=function(){return this._gl.deleteTexture(this.handle),null},s.prototype.activate=function(){return this._gl.bindTexture(this._target,this.handle),null},s.prototype.deactivate=function(){return this._gl.bindTexture(this._target,0),null},s.prototype._get_alignment=function(t){var e,r,n;for(\"object\"!=typeof(r=[4,8,2,1])||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n+=1)if(e=r[n],p(t%e,0))return e;return null},s.prototype.set_wrapping=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_S,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_T,e),null},s.prototype.set_interpolation=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_MIN_FILTER,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_MAG_FILTER,e),null},s.prototype.set_size=function(t,e){var r,n,o;return r=(n=t)[0],o=n[1],p([r,o,e],this._shape_format)||(this._shape_format=[r,o,e],this.activate(),this._gl.texImage2D(this._target,0,e,o,r,0,e,this._gl.UNSIGNED_BYTE,null)),this.u_shape=[r,o],null},s.prototype.set_data=function(t,e,r){var n,o,i,a,s,l,h,u,c,_;if(p(e.length,2)&&(e=[e[0],e[1],1]),this.activate(),i=this._shape_format[2],s=(l=e)[0],u=l[1],l[2],_=(h=t)[0],c=h[1],null===(a=m.call(this._types,r.constructor.name,null)))throw(o=new Error(\"ValueError:Type \"+r.constructor.name+\" not allowed for texture\")).name=\"ValueError\",o;return n=this._get_alignment(y(e[e.length-2],e[e.length-1])),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,n),this._gl.texSubImage2D(this._target,0,c,_,u,s,i,a,r),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,4),null},((l=function(){d(this,arguments)}).prototype=Object.create(s.prototype))._base_class=s.prototype,l.prototype._class_name=\"Texture3DLike\",l.prototype.GLSL_SAMPLE_NEAREST=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float zindex = floor(texcoord.z * shape.z);\\n\\n            // Do a lookup in the 2D texture\\n            float u = (mod(zindex, ncols) + texcoord.x) / ncols;\\n            float v = (floor(zindex / ncols) + texcoord.y) / nrows;\\n\\n            return texture2D(tex, vec2(u,v));\\n        }\\n    \",l.prototype.GLSL_SAMPLE_LINEAR=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float z = texcoord.z * shape.z;\\n            float zindex1 = floor(z);\\n            float u1 = (mod(zindex1, ncols) + texcoord.x) / ncols;\\n            float v1 = (floor(zindex1 / ncols) + texcoord.y) / nrows;\\n\\n            float zindex2 = zindex1 + 1.0;\\n            float u2 = (mod(zindex2, ncols) + texcoord.x) / ncols;\\n            float v2 = (floor(zindex2 / ncols) + texcoord.y) / nrows;\\n\\n            vec4 s1 = texture2D(tex, vec2(u1, v1));\\n            vec4 s2 = texture2D(tex, vec2(u2, v2));\\n\\n            return s1 * (zindex2 - z) + s2 * (z - zindex1);\\n        }\\n    \",l.prototype._get_tile_info=function(t){var e,r,n,o;if(r=this._gl.getParameter(this._gl.MAX_TEXTURE_SIZE),o=Math.floor(r/t[1]),o=Math.min(o,t[0]),n=window.Math.ceil(t[0]/o),g(y(n,t[2])>r))throw(e=new Error(\"RuntimeError:Cannot fit 3D data with shape \"+t+\" onto simulated 2D texture.\")).name=\"RuntimeError\",e;return[o,n]},l.prototype.set_size=function(t,e){var r,n,o,i;return n=(i=this._get_tile_info(t))[0],r=i[1],o=[y(t[1],n),y(t[2],r)],l.prototype._base_class.set_size.call(this,o,e),this.u_shape=[t[0],t[1],t[2]],this.u_tiles=[r,n],null},l.prototype.set_data=function(t,e,r){var n,o,i,a,s,h,u,c,_,f,d,v;if(p(e.length,3)&&(e=[e[0],e[1],e[2],1]),!function(t){for(var e=0;e<t.length;e++)if(!g(t[e]))return!1;return!0}(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(p(e,0));return o}.apply(this)))throw(i=new Error(\"ValueError:Texture3DLike does not support nonzero offset (for now)\")).name=\"ValueError\",i;if(s=(c=this._get_tile_info(e))[0],a=c[1],u=[y(e[1],s),y(e[2],a),e[3]],p(a,1))l.prototype._base_class.set_data.call(this,[0,0],u,r);else for(v=new(0,r.constructor)(y(y(u[0],u[1]),u[2])),l.prototype._base_class.set_data.call(this,[0,0],u,v),d=0;d<e[0];d+=1)h=(_=[Math.floor(d/a),d%a])[0],n=_[1],o=Math.floor(r.length/e[0]),f=r.slice(y(d,o),y(d+1,o)),l.prototype._base_class.set_data.call(this,[y(h,e[1]),y(n,e[2])],e.slice(1),f);return null},e.exports={Buffer:n,GlooObject:o,IndexBuffer:i,Program:a,Texture2D:s,Texture3DLike:l,VertexBuffer:h,check_error:u,console:c}},\n",
+       "      374: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(20),s=e(72);class i{constructor(e,t){this.gl=e,this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.init()}set_data_changed(e){e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,a){if(0==t.length)return!0;const[r,i,n]=[0,1,2];let l=1,h=1,[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]);if(isNaN(o[0]+o[1]+o[2]+_[0]+_[1]+_[2]))return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;if(l=100/Math.min(Math.max(Math.abs(o[1]-o[0]),1e-12),1e12),h=100/Math.min(Math.max(Math.abs(_[1]-_[0]),1e-12),1e12),[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]),Math.abs(o[1]-o[0]-(o[2]-o[1]))>1e-6||Math.abs(_[1]-_[0]-(_[2]-_[1]))>1e-6)return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;const[c,u]=[(o[1]-o[0])/l,(_[1]-_[0])/h],{width:d,height:g}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,f={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:d,height:g,dx:o[0]/c,dy:_[0]/u,sx:c,sy:u};return this.draw(t,a,f),!0}}function n(e,t){const a=new Float32Array(e);for(let r=0,s=e;r<s;r++)a[r]=t;return a}function l(e,t){return void 0!==e[t].spec.value}a.BaseGLGlyph=i,i.__name__=\"BaseGLGlyph\",a.line_width=function(e){return e<2&&(e=Math.sqrt(2*e)),e},a.fill_array_with_float=n,a.fill_array_with_vec=function(e,t,a){const r=new Float32Array(e*t);for(let s=0;s<e;s++)for(let e=0;e<t;e++)r[s*t+e]=a[e];return r},a.visual_prop_is_singular=l,a.attach_float=function(e,t,a,r,s,i){if(s.doit)if(l(s,i))t.used=!1,e.set_attribute(a,\"float\",s[i].value());else{t.used=!0;const n=new Float32Array(s.get_array(i));t.set_size(4*r),t.set_data(0,n),e.set_attribute(a,\"float\",t)}else t.used=!1,e.set_attribute(a,\"float\",[0])},a.attach_color=function(e,t,a,s,i,h){let o;const _=h+\"_color\",c=h+\"_alpha\";if(i.doit)if(l(i,_)&&l(i,c))t.used=!1,o=r.color2rgba(i[_].value(),i[c].value()),e.set_attribute(a,\"vec4\",o);else{let h,u;t.used=!0,u=l(i,_)?(()=>{const e=[];for(let t=0,a=s;t<a;t++)e.push(i[_].value());return e})():i.get_array(_),h=l(i,c)?n(s,i[c].value()):i.get_array(c);const d=new Float32Array(4*s);for(let e=0,t=s;e<t;e++){o=r.color2rgba(u[e],h[e]);for(let t=0,a=4;t<a;t++)d[4*e+t]=o[t]}t.set_size(4*s*4),t.set_data(0,d),e.set_attribute(a,\"vec4\",t)}else t.used=!1,e.set_attribute(a,\"vec4\",[0,0,0,0])}},\n",
+       "      375: function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.vertex_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size, u_offset;\\nuniform vec2 u_scale_aspect;\\nuniform float u_scale_length;\\n\\nuniform vec4 u_color;\\nuniform float u_antialias;\\nuniform float u_length;\\nuniform float u_linewidth;\\nuniform float u_dash_index;\\nuniform float u_closed;\\n\\nattribute vec2 a_position;\\nattribute vec4 a_tangents;\\nattribute vec2 a_segment;\\nattribute vec2 a_angles;\\nattribute vec2 a_texcoord;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\nfloat cross(in vec2 v1, in vec2 v2)\\n{\\n    return v1.x*v2.y - v1.y*v2.x;\\n}\\n\\nfloat signed_distance(in vec2 v1, in vec2 v2, in vec2 v3)\\n{\\n    return cross(v2-v1,v1-v3) / length(v2-v1);\\n}\\n\\nvoid rotate( in vec2 v, in float alpha, out vec2 result )\\n{\\n    float c = cos(alpha);\\n    float s = sin(alpha);\\n    result = vec2( c*v.x - s*v.y,\\n                   s*v.x + c*v.y );\\n}\\n\\nvoid main()\\n{\\n    bool closed = (u_closed > 0.0);\\n\\n    // Attributes and uniforms to varyings\\n    v_color = u_color;\\n    v_linewidth = u_linewidth;\\n    v_segment = a_segment * u_scale_length;\\n    v_length = u_length * u_scale_length;\\n\\n    // Scale to map to pixel coordinates. The original algorithm from the paper\\n    // assumed isotropic scale. We obviously do not have this.\\n    vec2 abs_scale_aspect = abs(u_scale_aspect);\\n    vec2 abs_scale = u_scale_length * abs_scale_aspect;\\n\\n    // Correct angles for aspect ratio\\n    vec2 av;\\n    av = vec2(1.0, tan(a_angles.x)) / abs_scale_aspect;\\n    v_angles.x = atan(av.y, av.x);\\n    av = vec2(1.0, tan(a_angles.y)) / abs_scale_aspect;\\n    v_angles.y = atan(av.y, av.x);\\n\\n    // Thickness below 1 pixel are represented using a 1 pixel thickness\\n    // and a modified alpha\\n    v_color.a = min(v_linewidth, v_color.a);\\n    v_linewidth = max(v_linewidth, 1.0);\\n\\n    // If color is fully transparent we just will discard the fragment anyway\\n    if( v_color.a <= 0.0 ) {\\n        gl_Position = vec4(0.0,0.0,0.0,1.0);\\n        return;\\n    }\\n\\n    // This is the actual half width of the line\\n    float w = ceil(u_antialias+v_linewidth)/2.0;\\n\\n    vec2 position = (a_position + u_offset) * abs_scale;\\n\\n    vec2 t1 = normalize(a_tangents.xy * abs_scale_aspect);  // note the scaling for aspect ratio here\\n    vec2 t2 = normalize(a_tangents.zw * abs_scale_aspect);\\n    float u = a_texcoord.x;\\n    float v = a_texcoord.y;\\n    vec2 o1 = vec2( +t1.y, -t1.x);\\n    vec2 o2 = vec2( +t2.y, -t2.x);\\n\\n    // This is a join\\n    // ----------------------------------------------------------------\\n    if( t1 != t2 ) {\\n        float angle = atan (t1.x*t2.y-t1.y*t2.x, t1.x*t2.x+t1.y*t2.y);  // Angle needs recalculation for some reason\\n        vec2 t  = normalize(t1+t2);\\n        vec2 o  = vec2( + t.y, - t.x);\\n\\n        if ( u_dash_index > 0.0 )\\n        {\\n            // Broken angle\\n            // ----------------------------------------------------------------\\n            if( (abs(angle) > THETA) ) {\\n                position += v * w * o / cos(angle/2.0);\\n                float s = sign(angle);\\n                if( angle < 0.0 ) {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position -= 2.0 * w * t1 / sin(angle);\\n                            u -= 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position += 2.0 * w * t2 / sin(angle);\\n                            u += 2.0*w / sin(angle);\\n                        }\\n                    }\\n                } else {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position += 2.0 * w * t1 / sin(angle);\\n                            u += 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position -= 2.0 * w * t2 / sin(angle);\\n                            u -= 2.0*w / sin(angle);\\n                        }\\n                    }\\n                }\\n                // Continuous angle\\n                // ------------------------------------------------------------\\n            } else {\\n                position += v * w * o / cos(angle/2.0);\\n                if( u == +1.0 ) u = v_segment.y;\\n                else            u = v_segment.x;\\n            }\\n        }\\n\\n        // Solid line\\n        // --------------------------------------------------------------------\\n        else\\n        {\\n            position.xy += v * w * o / cos(angle/2.0);\\n            if( angle < 0.0 ) {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            } else {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            }\\n        }\\n\\n    // This is a line start or end (t1 == t2)\\n    // ------------------------------------------------------------------------\\n    } else {\\n        position += v * w * o1;\\n        if( u == -1.0 ) {\\n            u = v_segment.x - w;\\n            position -= w * t1;\\n        } else {\\n            u = v_segment.y + w;\\n            position += w * t2;\\n        }\\n    }\\n\\n    // Miter distance\\n    // ------------------------------------------------------------------------\\n    vec2 t;\\n    vec2 curr = a_position * abs_scale;\\n    if( a_texcoord.x < 0.0 ) {\\n        vec2 next = curr + t2*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, +v_angles.x/2.0, t);\\n        v_miter.x = signed_distance(curr, curr+t, position);\\n\\n        rotate( t2, +v_angles.y/2.0, t);\\n        v_miter.y = signed_distance(next, next+t, position);\\n    } else {\\n        vec2 prev = curr - t1*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, -v_angles.x/2.0,t);\\n        v_miter.x = signed_distance(prev, prev+t, position);\\n\\n        rotate( t2, -v_angles.y/2.0,t);\\n        v_miter.y = signed_distance(curr, curr+t, position);\\n    }\\n\\n    if (!closed && v_segment.x <= 0.0) {\\n        v_miter.x = 1e10;\\n    }\\n    if (!closed && v_segment.y >= v_length)\\n    {\\n        v_miter.y = 1e10;\\n    }\\n\\n    v_texcoord = vec2( u, v*w );\\n\\n    // Calculate position in device coordinates. Note that we\\n    // already scaled with abs scale above.\\n    vec2 normpos = position * sign(u_scale_aspect);\\n    normpos += 0.5;  // make up for Bokeh's offset\\n    normpos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(normpos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n}\\n\"},\n",
+       "      376: function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0}),e.fragment_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform sampler2D u_dash_atlas;\\n\\nuniform vec2 u_linecaps;\\nuniform float u_miter_limit;\\nuniform float u_linejoin;\\nuniform float u_antialias;\\nuniform float u_dash_phase;\\nuniform float u_dash_period;\\nuniform float u_dash_index;\\nuniform vec2 u_dash_caps;\\nuniform float u_closed;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\n// Compute distance to cap ----------------------------------------------------\\nfloat cap( int type, float dx, float dy, float t, float linewidth )\\n{\\n    float d = 0.0;\\n    dx = abs(dx);\\n    dy = abs(dy);\\n    if      (type == 0)  discard;  // None\\n    else if (type == 1)  d = sqrt(dx*dx+dy*dy);  // Round\\n    else if (type == 3)  d = (dx+abs(dy));  // Triangle in\\n    else if (type == 2)  d = max(abs(dy),(t+dx-abs(dy)));  // Triangle out\\n    else if (type == 4)  d = max(dx,dy);  // Square\\n    else if (type == 5)  d = max(dx+t,dy);  // Butt\\n    return d;\\n}\\n\\n// Compute distance to join -------------------------------------------------\\nfloat join( in int type, in float d, in vec2 segment, in vec2 texcoord, in vec2 miter,\\n           in float linewidth )\\n{\\n    // texcoord.x is distance from start\\n    // texcoord.y is distance from centerline\\n    // segment.x and y indicate the limits (as for texcoord.x) for this segment\\n\\n    float dx = texcoord.x;\\n\\n    // Round join\\n    if( type == 1 ) {\\n        if (dx < segment.x) {\\n            d = max(d,length( texcoord - vec2(segment.x,0.0)));\\n            //d = length( texcoord - vec2(segment.x,0.0));\\n        } else if (dx > segment.y) {\\n            d = max(d,length( texcoord - vec2(segment.y,0.0)));\\n            //d = length( texcoord - vec2(segment.y,0.0));\\n        }\\n    }\\n    // Bevel join\\n    else if ( type == 2 ) {\\n        if (dx < segment.x) {\\n            vec2 x = texcoord - vec2(segment.x,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n\\n        } else if (dx > segment.y) {\\n            vec2 x = texcoord - vec2(segment.y,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n        }\\n        /*  Original code for bevel which does not work for us\\n        if( (dx < segment.x) ||  (dx > segment.y) )\\n            d = max(d, min(abs(x.x),abs(x.y)));\\n        */\\n    }\\n\\n    return d;\\n}\\n\\nvoid main()\\n{\\n    // If color is fully transparent we just discard the fragment\\n    if( v_color.a <= 0.0 ) {\\n        discard;\\n    }\\n\\n    // Test if dash pattern is the solid one (0)\\n    bool solid =  (u_dash_index == 0.0);\\n\\n    // Test if path is closed\\n    bool closed = (u_closed > 0.0);\\n\\n    vec4 color = v_color;\\n    float dx = v_texcoord.x;\\n    float dy = v_texcoord.y;\\n    float t = v_linewidth/2.0-u_antialias;\\n    float width = 1.0;  //v_linewidth; original code had dashes scale with line width, we do not\\n    float d = 0.0;\\n\\n    vec2 linecaps = u_linecaps;\\n    vec2 dash_caps = u_dash_caps;\\n    float line_start = 0.0;\\n    float line_stop = v_length;\\n\\n    // Apply miter limit; fragments too far into the miter are simply discarded\\n    if( (dx < v_segment.x) || (dx > v_segment.y) ) {\\n        float into_miter = max(v_segment.x - dx, dx - v_segment.y);\\n        if (into_miter > u_miter_limit*v_linewidth/2.0)\\n          discard;\\n    }\\n\\n    // Solid line --------------------------------------------------------------\\n    if( solid ) {\\n        d = abs(dy);\\n        if( (!closed) && (dx < line_start) ) {\\n            d = cap( int(u_linecaps.x), abs(dx), abs(dy), t, v_linewidth );\\n        }\\n        else if( (!closed) &&  (dx > line_stop) ) {\\n            d = cap( int(u_linecaps.y), abs(dx)-line_stop, abs(dy), t, v_linewidth );\\n        }\\n        else {\\n            d = join( int(u_linejoin), abs(dy), v_segment, v_texcoord, v_miter, v_linewidth );\\n        }\\n\\n    // Dash line --------------------------------------------------------------\\n    } else {\\n        float segment_start = v_segment.x;\\n        float segment_stop  = v_segment.y;\\n        float segment_center= (segment_start+segment_stop)/2.0;\\n        float freq          = u_dash_period*width;\\n        float u = mod( dx + u_dash_phase*width, freq);\\n        vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n        float dash_center= tex.x * width;\\n        float dash_type  = tex.y;\\n        float _start = tex.z * width;\\n        float _stop  = tex.a * width;\\n        float dash_start = dx - u + _start;\\n        float dash_stop  = dx - u + _stop;\\n\\n        // Compute extents of the first dash (the one relative to v_segment.x)\\n        // Note: this could be computed in the vertex shader\\n        if( (dash_stop < segment_start) && (dash_caps.x != 5.0) ) {\\n            float u = mod(segment_start + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_start - u + _start;\\n            dash_stop = segment_start - u + _stop;\\n        }\\n\\n        // Compute extents of the last dash (the one relatives to v_segment.y)\\n        // Note: This could be computed in the vertex shader\\n        else if( (dash_start > segment_stop)  && (dash_caps.y != 5.0) ) {\\n            float u = mod(segment_stop + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_stop - u + _start;\\n            dash_stop  = segment_stop - u + _stop;\\n        }\\n\\n        // This test if the we are dealing with a discontinuous angle\\n        bool discontinuous = ((dx <  segment_center) && abs(v_angles.x) > THETA) ||\\n                             ((dx >= segment_center) && abs(v_angles.y) > THETA);\\n        //if( dx < line_start) discontinuous = false;\\n        //if( dx > line_stop)  discontinuous = false;\\n\\n        float d_join = join( int(u_linejoin), abs(dy),\\n                            v_segment, v_texcoord, v_miter, v_linewidth );\\n\\n        // When path is closed, we do not have room for linecaps, so we make room\\n        // by shortening the total length\\n        if (closed) {\\n             line_start += v_linewidth/2.0;\\n             line_stop  -= v_linewidth/2.0;\\n        }\\n\\n        // We also need to take antialias area into account\\n        //line_start += u_antialias;\\n        //line_stop  -= u_antialias;\\n\\n        // Check is dash stop is before line start\\n        if( dash_stop <= line_start ) {\\n            discard;\\n        }\\n        // Check is dash start is beyond line stop\\n        if( dash_start >= line_stop ) {\\n            discard;\\n        }\\n\\n        // Check if current dash start is beyond segment stop\\n        if( discontinuous ) {\\n            // Dash start is beyond segment, we discard\\n            if( (dash_start > segment_stop) ) {\\n                discard;\\n                //gl_FragColor = vec4(1.0,0.0,0.0,.25); return;\\n            }\\n\\n            // Dash stop is before segment, we discard\\n            if( (dash_stop < segment_start) ) {\\n                discard;  //gl_FragColor = vec4(0.0,1.0,0.0,.25); return;\\n            }\\n\\n            // Special case for round caps (nicer with this)\\n            if( dash_caps.x == 1.0 ) {\\n                if( (u > _stop) && (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for round caps  (nicer with this)\\n            if( dash_caps.y == 1.0 ) {\\n                if( (u < _start) && (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.x != 1.0) && (dash_caps.x != 5.0) ) {\\n                if( (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0) ) {\\n                    float a = v_angles.x/2.0;\\n                    float x = (segment_start-dx)*cos(a) - dy*sin(a);\\n                    float y = (segment_start-dx)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the cap into square to avoid holes\\n                    dash_caps.x = 4.0;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.y != 1.0) && (dash_caps.y != 5.0) ) {\\n                if( (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0) ) {\\n                    float a = v_angles.y/2.0;\\n                    float x = (dx-segment_stop)*cos(a) - dy*sin(a);\\n                    float y = (dx-segment_stop)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the caps into square to avoid holes\\n                    dash_caps.y = 4.0;\\n                }\\n            }\\n        }\\n\\n        // Line cap at start\\n        if( (dx < line_start) && (dash_start < line_start) && (dash_stop > line_start) ) {\\n            d = cap( int(linecaps.x), dx-line_start, dy, t, v_linewidth);\\n        }\\n        // Line cap at stop\\n        else if( (dx > line_stop) && (dash_stop > line_stop) && (dash_start < line_stop) ) {\\n            d = cap( int(linecaps.y), dx-line_stop, dy, t, v_linewidth);\\n        }\\n        // Dash cap left - dash_type = -1, 0 or 1, but there may be roundoff errors\\n        else if( dash_type < -0.5 ) {\\n            d = cap( int(dash_caps.y), abs(u-dash_center), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash cap right\\n        else if( dash_type > 0.5 ) {\\n            d = cap( int(dash_caps.x), abs(dash_center-u), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash body (plain)\\n        else {// if( dash_type > -0.5 &&  dash_type < 0.5) {\\n            d = abs(dy);\\n        }\\n\\n        // Line join\\n        if( (dx > line_start) && (dx < line_stop)) {\\n            if( (dx <= segment_start) && (dash_start <= segment_start)\\n                && (dash_stop >= segment_start) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.x;\\n                float f = abs( (segment_start - dx)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( (dx > segment_stop) && (dash_start <= segment_stop)\\n                     && (dash_stop >= segment_stop) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.y;\\n                float f = abs((dx - segment_stop)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( dx < (segment_start - v_linewidth/2.)) {\\n                discard;\\n            }\\n            else if( dx > (segment_stop + v_linewidth/2.)) {\\n                discard;\\n            }\\n        }\\n        else if( dx < (segment_start - v_linewidth/2.)) {\\n            discard;\\n        }\\n        else if( dx > (segment_stop + v_linewidth/2.)) {\\n            discard;\\n        }\\n    }\\n\\n    // Distance to border ------------------------------------------------------\\n    d = d - t;\\n    if( d < 0.0 ) {\\n        gl_FragColor = color;\\n    } else {\\n        d /= u_antialias;\\n        gl_FragColor = vec4(color.rgb, exp(-d*d)*color.a);\\n    }\\n}\\n\"},\n",
+       "      377: function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(373),r=t(374),o=t(378),_=t(379),h=t(213),l=t(12),n=t(72);class g extends r.BaseGLGlyph{init(){const{gl:t}=this,s=o.vertex_shader,e=_.fragment_shader(this._marker_code);this.prog=new a.Program(t),this.prog.set_shaders(s,e),this.vbo_x=new a.VertexBuffer(t),this.prog.set_attribute(\"a_x\",\"float\",this.vbo_x),this.vbo_y=new a.VertexBuffer(t),this.prog.set_attribute(\"a_y\",\"float\",this.vbo_y),this.vbo_s=new a.VertexBuffer(t),this.prog.set_attribute(\"a_size\",\"float\",this.vbo_s),this.vbo_a=new a.VertexBuffer(t),this.prog.set_attribute(\"a_angle\",\"float\",this.vbo_a),this.vbo_linewidth=new a.VertexBuffer(t),this.vbo_fg_color=new a.VertexBuffer(t),this.vbo_bg_color=new a.VertexBuffer(t),this.index_buffer=new a.IndexBuffer(t)}draw(t,s,e){const i=s.glglyph,{nvertices:a}=i;if(i.data_changed){if(!isFinite(e.dx)||!isFinite(e.dy))return;i._baked_offset=[e.dx,e.dy],i._set_data(a),i.data_changed=!1}else this.glyph instanceof h.CircleView&&null!=this.glyph._radius&&(null==this.last_trans||e.sx!=this.last_trans.sx||e.sy!=this.last_trans.sy)&&(this.last_trans=e,this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))));this.visuals_changed&&(this._set_visuals(a),this.visuals_changed=!1);const r=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[e.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[e.width,e.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[e.dx-r[0],e.dy-r[1]]),this.prog.set_uniform(\"u_scale\",\"vec2\",[e.sx,e.sy]),this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a),0!=t.length)if(t.length===a)this.prog.draw(this.gl.POINTS,[0,a]);else if(a<65535){const s=window.navigator.userAgent;s.indexOf(\"MSIE \")+s.indexOf(\"Trident/\")+s.indexOf(\"Edge/\")>0&&n.logger.warn(\"WebGL warning: IE is known to produce 1px sprites whith selections.\"),this.index_buffer.set_size(2*t.length),this.index_buffer.set_data(0,new Uint16Array(t)),this.prog.draw(this.gl.POINTS,this.index_buffer)}else{const s=64e3,e=[];for(let t=0,i=Math.ceil(a/s);t<i;t++)e.push([]);for(let i=0,a=t.length;i<a;i++){const a=t[i]%s;e[Math.floor(t[i]/s)].push(a)}for(let t=0,a=e.length;t<a;t++){const a=new Uint16Array(e[t]),r=t*s*4;0!==a.length&&(this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x,0,r),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y,0,r),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s,0,r),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a,0,r),this.vbo_linewidth.used&&this.prog.set_attribute(\"a_linewidth\",\"float\",this.vbo_linewidth,0,r),this.vbo_fg_color.used&&this.prog.set_attribute(\"a_fg_color\",\"vec4\",this.vbo_fg_color,0,4*r),this.vbo_bg_color.used&&this.prog.set_attribute(\"a_bg_color\",\"vec4\",this.vbo_bg_color,0,4*r),this.index_buffer.set_size(2*a.length),this.index_buffer.set_data(0,a),this.prog.draw(this.gl.POINTS,this.index_buffer))}}}_set_data(t){const s=4*t;this.vbo_x.set_size(s),this.vbo_y.set_size(s),this.vbo_a.set_size(s),this.vbo_s.set_size(s);const e=new Float64Array(this.glyph._x),i=new Float64Array(this.glyph._y);for(let s=0,a=t;s<a;s++)e[s]+=this._baked_offset[0],i[s]+=this._baked_offset[1];this.vbo_x.set_data(0,new Float32Array(e)),this.vbo_y.set_data(0,new Float32Array(i)),null!=this.glyph._angle&&this.vbo_a.set_data(0,new Float32Array(this.glyph._angle)),this.glyph instanceof h.CircleView&&null!=this.glyph._radius?this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))):this.vbo_s.set_data(0,new Float32Array(this.glyph._size))}_set_visuals(t){r.attach_float(this.prog,this.vbo_linewidth,\"a_linewidth\",t,this.glyph.visuals.line,\"line_width\"),r.attach_color(this.prog,this.vbo_fg_color,\"a_fg_color\",t,this.glyph.visuals.line,\"line\"),r.attach_color(this.prog,this.vbo_bg_color,\"a_bg_color\",t,this.glyph.visuals.fill,\"fill\"),this.prog.set_uniform(\"u_antialias\",\"float\",[.8])}}function f(t){return class extends g{get _marker_code(){return t}}}e.MarkerGLGlyph=g,g.__name__=\"MarkerGLGlyph\";const d=i.__importStar(t(379));e.CircleGLGlyph=f(d.circle),e.SquareGLGlyph=f(d.square),e.DiamondGLGlyph=f(d.diamond),e.TriangleGLGlyph=f(d.triangle),e.InvertedTriangleGLGlyph=f(d.invertedtriangle),e.HexGLGlyph=f(d.hex),e.CrossGLGlyph=f(d.cross),e.CircleCrossGLGlyph=f(d.circlecross),e.SquareCrossGLGlyph=f(d.squarecross),e.DiamondCrossGLGlyph=f(d.diamondcross),e.XGLGlyph=f(d.x),e.CircleXGLGlyph=f(d.circlex),e.SquareXGLGlyph=f(d.squarex),e.AsteriskGLGlyph=f(d.asterisk)},\n",
+       "      378: function _(n,i,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.vertex_shader=\"\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\n//\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform vec2 u_offset;\\nuniform vec2 u_scale;\\nuniform float u_antialias;\\n//\\nattribute float a_x;\\nattribute float a_y;\\nattribute float a_size;\\nattribute float a_angle;  // in radians\\nattribute float a_linewidth;\\nattribute vec4  a_fg_color;\\nattribute vec4  a_bg_color;\\n//\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying vec2  v_rotation;\\n\\nvoid main (void)\\n{\\n    v_size = a_size * u_pixel_ratio;\\n    v_linewidth = a_linewidth * u_pixel_ratio;\\n    v_fg_color = a_fg_color;\\n    v_bg_color = a_bg_color;\\n    v_rotation = vec2(cos(-a_angle), sin(-a_angle));\\n    // Calculate position - the -0.5 is to correct for canvas origin\\n    vec2 pos = (vec2(a_x, a_y) + u_offset) * u_scale; // in pixels\\n    pos += 0.5;  // make up for Bokeh's offset\\n    pos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(pos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n    gl_PointSize = SQRT_2 * v_size + 2.0 * (v_linewidth + 1.5*u_antialias);\\n}\\n\"},\n",
+       "      379: function _(a,n,s){Object.defineProperty(s,\"__esModule\",{value:!0}),s.fragment_shader=a=>`\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float PI = 3.14159265358979323846264;\\n//\\nuniform float u_antialias;\\n//\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2  v_rotation;\\n\\n${a}\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 fg_color, vec4 bg_color)\\n{\\n    vec4 frag_color;\\n    float t = linewidth/2.0 - antialias;\\n    float signed_distance = distance;\\n    float border_distance = abs(signed_distance) - t;\\n    float alpha = border_distance/antialias;\\n    alpha = exp(-alpha*alpha);\\n\\n    // If fg alpha is zero, it probably means no outline. To avoid a dark outline\\n    // shining through due to aa, we set the fg color to the bg color. Avoid if (i.e. branching).\\n    float select = float(bool(fg_color.a));\\n    fg_color.rgb = select * fg_color.rgb + (1.0  - select) * bg_color.rgb;\\n    // Similarly, if we want a transparent bg\\n    select = float(bool(bg_color.a));\\n    bg_color.rgb = select * bg_color.rgb + (1.0  - select) * fg_color.rgb;\\n\\n    if( border_distance < 0.0)\\n        frag_color = fg_color;\\n    else if( signed_distance < 0.0 ) {\\n        frag_color = mix(bg_color, fg_color, sqrt(alpha));\\n    } else {\\n        if( abs(signed_distance) < (linewidth/2.0 + antialias) ) {\\n            frag_color = vec4(fg_color.rgb, fg_color.a * alpha);\\n        } else {\\n            discard;\\n        }\\n    }\\n    return frag_color;\\n}\\n\\nvoid main()\\n{\\n    vec2 P = gl_PointCoord.xy - vec2(0.5, 0.5);\\n    P = vec2(v_rotation.x*P.x - v_rotation.y*P.y,\\n             v_rotation.y*P.x + v_rotation.x*P.y);\\n    float point_size = SQRT_2*v_size  + 2.0 * (v_linewidth + 1.5*u_antialias);\\n    float distance = marker(P*point_size, v_size);\\n    gl_FragColor = outline(distance, v_linewidth, u_antialias, v_fg_color, v_bg_color);\\n    //gl_FragColor.rgb *= gl_FragColor.a;  // pre-multiply alpha\\n}\\n`,s.circle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return length(P) - size/2.0;\\n}\\n\",s.square=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n\",s.diamond=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    return r1 / SQRT_2;\\n}\\n\",s.hex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    vec2 q = abs(P);\\n    return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n\",s.triangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y -= size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.invertedtriangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y += size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = - P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.cross='\\nfloat marker(vec2 P, float size)\\n{\\n    float square = max(abs(P.x), abs(P.y)) - size / 2.5;   // 2.5 is a tweak\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(square, cross);\\n}\\n',s.circlecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.squarecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.diamondcross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    diamond /= SQRT_2;\\n    float c1 = max(diamond, s1);\\n    float c2 = max(diamond, s2);\\n    float c3 = max(diamond, s3);\\n    float c4 = max(diamond, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.x='\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size / 1.6;\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(circle, X);\\n}\\n',s.circlex='\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    float almost = min(min(min(c1, c2), c3), c4);\\n    // In this case, the X is also outside of the main shape\\n    float Xmask = length(P) - size / 1.6;  // a circle\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return min(max(X, Xmask), almost);\\n}\\n',s.squarex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.asterisk='\\nfloat marker(vec2 P, float size)\\n{\\n    // Masks\\n    float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / (2.0 * SQRT_2);\\n    float square = max(abs(P.x), abs(P.y)) - size / (2.0 * SQRT_2);\\n    // Shapes\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    // Result is union of masked shapes\\n    return min(max(X, diamond), max(cross, square));\\n}\\n'},\n",
+       "      }, 370, {\"models/glyphs/webgl/main\":370,\"models/glyphs/webgl/index\":371,\"models/glyphs/webgl/line\":372,\"models/glyphs/webgl/base\":374,\"models/glyphs/webgl/line.vert\":375,\"models/glyphs/webgl/line.frag\":376,\"models/glyphs/webgl/markers\":377,\"models/glyphs/webgl/markers.vert\":378,\"models/glyphs/webgl/markers.frag\":379}, {});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END bokeh-gl.min.js */\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      Bokeh.set_log_level(\"info\");\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN panel.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        factory(root[\"Bokeh\"], undefined);\n",
+       "      })(this, function(Bokeh, version) {\n",
+       "        var define;\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
+       "          if (bokeh != null) {\n",
+       "            return bokeh.register_plugin(modules, entry, aliases);\n",
+       "          } else {\n",
+       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
+       "          }\n",
+       "        })\n",
+       "      ({\n",
+       "      \"4e90918c0a\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"22ae8fda70\"));o.Panel=s,e(\"@bokehjs/base\").register_models(s)},\n",
+       "      \"22ae8fda70\": function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=a(\"tslib\");var t=a(\"3343056bd8\");r.AcePlot=t.AcePlot;var c=a(\"66d52165db\");r.Audio=c.Audio;var l=a(\"71a9759436\");r.CommManager=l.CommManager;var d=a(\"d0d2aafca0\");r.DeckGLPlot=d.DeckGLPlot;var v=a(\"ed08037ce5\");r.HTML=v.HTML;var b=a(\"284504a0cf\");r.JSON=b.JSON;var P=a(\"61c9ac7aac\");r.FileDownload=P.FileDownload;var f=a(\"7b859fb3cf\");r.KaTeX=f.KaTeX;var i=a(\"0c21036737\");r.MathJax=i.MathJax;var n=a(\"79c41bbf71\");r.Player=n.Player;var s=a(\"56da045fbd\");r.PlotlyPlot=s.PlotlyPlot;var M=a(\"76307e5afa\");r.Progress=M.Progress;var S=a(\"38b2bc9574\");r.State=S.State;var g=a(\"294adeb985\");r.VegaPlot=g.VegaPlot;var m=a(\"b0c3e9e9c2\");r.Video=m.Video;var V=a(\"3c7145a2fa\");r.VideoStream=V.VideoStream,o.__exportStar(a(\"ecfbb965eb\"),r)},\n",
+       "      \"3343056bd8\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),n=e(\"@bokehjs/core/dom\"),a=e(\"7116a7a602\");class d extends a.PanelHTMLBoxView{initialize(){super.initialize(),this._ace=window.ace,this._container=n.div({id:\"_\"+Math.random().toString(36).substr(2,9),style:{width:\"100%\",height:\"100%\"}})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.code.change,()=>this._update_code_from_model()),this.connect(this.model.properties.theme.change,()=>this._update_theme()),this.connect(this.model.properties.language.change,()=>this._update_language()),this.connect(this.model.properties.annotations.change,()=>this._add_annotations()),this.connect(this.model.properties.readonly.change,()=>{this._editor.setReadOnly(this.model.readonly)})}render(){super.render(),this._container!==this.el.childNodes[0]&&this.el.appendChild(this._container),this._container.textContent=this.model.code,this._editor=this._ace.edit(this._container.id),this._editor.setTheme(\"ace/theme/\"+this.model.theme),this._editor.session.setMode(\"ace/mode/\"+this.model.language),this._editor.setReadOnly(this.model.readonly),this._langTools=this._ace.require(\"ace/ext/language_tools\"),this._editor.setOptions({enableBasicAutocompletion:!0,enableSnippets:!0,fontFamily:\"monospace\"}),this._editor.on(\"change\",()=>this._update_code_from_editor())}_update_code_from_model(){this._editor&&this._editor.getValue()!=this.model.code&&this._editor.setValue(this.model.code)}_update_code_from_editor(){this._editor.getValue()!=this.model.code&&(this.model.code=this._editor.getValue())}_update_theme(){this._editor.setTheme(\"ace/theme/\"+this.model.theme)}_update_language(){this._editor.session.setMode(\"ace/mode/\"+this.model.language)}_add_annotations(){this._editor.session.setAnnotations(this.model.annotations)}after_layout(){super.after_layout(),this._editor.resize()}}o.AcePlotView=d,d.__name__=\"AcePlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_AcePlot(){this.prototype.default_view=d,this.define({code:[i.String],language:[i.String,\"python\"],theme:[i.String,\"chrome\"],annotations:[i.Array,[]],readonly:[i.Boolean,!1]}),this.override({height:300,width:300})}}o.AcePlot=h,h.__name__=\"AcePlot\",h.__module__=\"panel.models.ace\",h.init_AcePlot()},\n",
+       "      \"7116a7a602\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(\"@bokehjs/core/layout/html\"),h=e(\"@bokehjs/core/layout/types\"),o=e(\"@bokehjs/core/dom\"),n=e(\"@bokehjs/models/widgets/markup\"),_=e(\"@bokehjs/models/layouts/html_box\");function a(e,i){let t=null!=i.width?\"fixed\":\"fit\",s=null!=i.height?\"fixed\":\"fit\";const{sizing_mode:h}=i;if(null!=h)if(\"fixed\"==h)t=s=\"fixed\";else if(\"stretch_both\"==h)t=s=\"max\";else if(\"stretch_width\"==h)t=\"max\";else if(\"stretch_height\"==h)s=\"max\";else switch(h){case\"scale_width\":t=\"max\",s=\"min\";break;case\"scale_height\":t=\"min\",s=\"max\";break;case\"scale_both\":t=\"max\",s=\"max\";break;default:throw new Error(\"unreachable\")}\"fixed\"==t&&i.width?e.style.width=i.width+\"px\":\"max\"==t&&(e.style.width=\"100%\"),\"fixed\"==s&&i.height?e.style.height=i.height+\"px\":\"max\"==s&&(e.style.height=\"100%\")}t.set_size=a;class d extends s.VariadicBox{constructor(e,i,t){super(e),this.el=e,this.sizing_mode=i,this.changed=t,this._cache=new Map,this._cache_count=new Map}_measure(e){const i=[e.width,e.height,this.sizing_mode].toString(),t=this.changed&&\"fixed\"!=this.sizing_mode&&null!=this.sizing_mode?1:0,s=this._cache.get(i),n=this._cache_count.get(i);if(null!=s&&null!=n&&n>=t)return this._cache_count.set(i,n+1),s;const _=new h.Sizeable(e).bounded_to(this.sizing.size),a=o.sized(this.el,_,()=>{const e=new h.Sizeable(o.content_size(this.el)),{border:i,padding:t}=o.extents(this.el);return e.grow_by(i).grow_by(t).map(Math.ceil)});return this._cache.set(i,a),this._cache_count.set(i,0),a}invalidate_cache(){}}t.CachedVariadicBox=d,d.__name__=\"CachedVariadicBox\";class l extends n.MarkupView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.markup_el,this.model)}}t.PanelMarkupView=l,l.__name__=\"PanelMarkupView\";class c extends _.HTMLBoxView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.el,this.model)}}t.PanelHTMLBoxView=c,c.__name__=\"PanelHTMLBoxView\"},\n",
+       "      \"66d52165db\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.audioEl=document.createElement(\"audio\"),this.audioEl.controls=!0,this.audioEl.src=this.model.value,this.audioEl.currentTime=this.model.time,this.audioEl.loop=this.model.loop,null!=this.model.volume?this.audioEl.volume=this.model.volume/100:this.model.volume=100*this.audioEl.volume,this.audioEl.onpause=()=>this.model.paused=!0,this.audioEl.onplay=()=>this.model.paused=!1,this.audioEl.ontimeupdate=()=>this.update_time(this),this.audioEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.audioEl),this.model.paused||this.audioEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.audioEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.audioEl.volume)}set_loop(){this.audioEl.loop=this.model.loop}set_paused(){!this.audioEl.paused&&this.model.paused&&this.audioEl.pause(),this.audioEl.paused&&!this.model.paused&&this.audioEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.audioEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.audioEl.currentTime=this.model.time)}set_value(){this.audioEl.src=this.model.value}}i.AudioView=d,d.__name__=\"AudioView\";class u extends s.HTMLBox{constructor(e){super(e)}static init_Audio(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}i.Audio=u,u.__name__=\"Audio\",u.__module__=\"panel.models.widgets\",u.init_Audio()},\n",
+       "      \"71a9759436\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/document\"),s=e(\"@bokehjs/core/view\"),c=e(\"@bokehjs/model\"),_=e(\"@bokehjs/protocol/message\"),l=e(\"@bokehjs/protocol/receiver\");class r extends s.View{renderTo(){}}n.CommManagerView=r,r.__name__=\"CommManagerView\";class a extends c.Model{constructor(e){super(e),this._document_listener=e=>this._document_changed(e),this._receiver=new l.Receiver,this._event_buffer=[],this._blocked=!1,this._timeout=Date.now(),null!=window.PyViz&&window.PyViz.comm_manager?(this.ns=window.PyViz,this.ns.comm_manager.register_target(this.plot_id,this.comm_id,e=>this.msg_handler(e)),this._client_comm=this.ns.comm_manager.get_client_comm(this.plot_id,this.client_comm_id,e=>this.on_ack(e))):console.log(\"Could not find comm manager on window.PyViz, ensure the extension is loaded.\")}_doc_attached(){super._doc_attached(),null!=this.document&&this.document.on_change(this._document_listener)}_document_changed(e){e.setter_id!==this.id&&(e instanceof i.ModelChangedEvent&&!(e.attr in e.model.serializable_attributes())||(this._event_buffer.unshift(e),(!this._blocked||Date.now()>this._timeout)&&(setTimeout(()=>this.process_events(),this.debounce),this._blocked=!0,this._timeout=Date.now()+this.timeout)))}process_events(){if(null==this.document||null==this._client_comm)return;const e=_.Message.create(\"PATCH-DOC\",{},this.document.create_json_patch(this._event_buffer));this._client_comm.send(e),this._event_buffer=[]}on_ack(e){const t=e.metadata;this._event_buffer.length?(this.process_events(),this._blocked=!0,this._timeout=Date.now()+this.timeout):this._blocked=!1,this._event_buffer=[],\"Ready\"==t.msg_type&&t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback)}msg_handler(e){const t=e.metadata,n=e.buffers,o=e.content.data,i=this.plot_id;if(\"Ready\"==t.msg_type)t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback);else if(null!=i){let e=null;if(i in this.ns.plot_index&&null!=this.ns.plot_index[i]?e=this.ns.plot_index[i]:void 0!==window.Bokeh&&i in window.Bokeh.index&&(e=window.Bokeh.index[i]),null==e)return;null!=n&&n.length>0?this._receiver.consume(n[0].buffer):this._receiver.consume(o);const t=this._receiver.message;null!=t&&Object.keys(t.content).length>0&&null!=this.document&&this.document.apply_json_patch(t.content,t.buffers,this.id)}}static init_CommManager(){this.prototype.default_view=r,this.define({plot_id:[o.String,null],comm_id:[o.String,null],client_comm_id:[o.String,null],timeout:[o.Number,5e3],debounce:[o.Number,50]})}}n.CommManager=a,a.__name__=\"CommManager\",a.__module__=\"panel.models.comm_manager\",a.init_CommManager()},\n",
+       "      \"d0d2aafca0\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\"),n=e(\"@bokehjs/core/dom\"),a=i.__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),c=e(\"7116a7a602\"),r=e(\"064eac2866\"),d=i.__importDefault(e(\"093eb75864\"));function l(){const e={},t=window.deck,o=Object.keys(t).filter(e=>e.charAt(0)===e.charAt(0).toUpperCase());for(const i of o)e[i]=t[i];return e}class _ extends c.PanelHTMLBoxView{connect_signals(){super.connect_signals();const{data:e,mapbox_api_key:t,tooltip:o,layers:i,initialViewState:n,data_sources:a}=this.model.properties;this.on_change([t,o],()=>this.render()),this.on_change([e,n],()=>this.updateDeck()),this.on_change([i],()=>this._update_layers()),this.on_change([a],()=>this._connect_sources(!0)),this._layer_map={},this._connected=[],this._connect_sources()}_update_layers(){this._layer_map={},this._update_data(!0)}_connect_sources(e=!1){for(const e of this.model.data_sources)this._connected.indexOf(e)<0&&(this.connect(e.properties.data.change,()=>this._update_data(!0)),this._connected.push(e));this._update_data(e)}initialize(){if(super.initialize(),window.deck.JSONConverter){const{CSVLoader:e,Tile3DLoader:t}=window.loaders;window.loaders.registerLoaders([t,e]);const o={classes:l(),enumerations:{COORDINATE_SYSTEM:window.deck.COORDINATE_SYSTEM,GL:d.default},constants:{Tile3DLoader:t}};this.jsonConverter=new window.deck.JSONConverter({configuration:o})}}_update_data(e=!0){let t=0;for(const e of this.model.layers){let o;if(t+=1,t-1 in this._layer_map)o=this.model.data_sources[this._layer_map[t-1]];else{if(\"number\"!=typeof e.data)continue;this._layer_map[t-1]=e.data,o=this.model.data_sources[e.data]}const i=[],n=o.columns();for(let e=0;e<o.get_length();e++){const t={};for(const i of n){let n=o.get_array(i);const a=null==n[0].shape?null:n[0].shape;null!=a&&a.length>1&&\"number\"==typeof a[0]?t[i]=n.slice(e*a[1],e*a[1]+a[1]):t[i]=n[e]}i.push(t)}e.data=i}e&&this.updateDeck()}_on_click_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.clickState=t}_on_hover_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.hoverState=t}_on_viewState_event(e){this.model.viewState=e.viewState}getData(){return Object.assign(Object.assign({},this.model.data),{layers:this.model.layers,initialViewState:this.model.initialViewState,onViewStateChange:e=>this._on_viewState_event(e),onClick:e=>this._on_click_event(e),onHover:e=>this._on_hover_event(e)})}updateDeck(){if(!this.deckGL)return void this.render();const e=this.getData();if(window.deck.updateDeck)window.deck.updateDeck(e,this.deckGL);else{const t=this.jsonConverter.convert(e);this.deckGL.setProps(t)}}createDeck({mapboxApiKey:e,container:t,jsonInput:o,tooltip:i}){let n;try{const a=this.jsonConverter.convert(o),s=r.makeTooltip(i);n=new window.deck.DeckGL(Object.assign(Object.assign({},a),{map:window.mapboxgl,mapboxApiAccessToken:e,container:t,getTooltip:s}))}catch(e){console.error(e)}return n}render(){super.render();const e=n.div({class:\"deckgl\"});c.set_size(e,this.model);const t=this.model.mapbox_api_key,o=this.model.tooltip,i=this.getData();window.deck.createDeck?this.deckGL=window.deck.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}):this.deckGL=this.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}),this.el.appendChild(e)}}o.DeckGLPlotView=_,_.__name__=\"DeckGLPlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_DeckGLPlot(){this.prototype.default_view=_,this.define({data:[a.Any],data_sources:[a.Array,[]],clickState:[a.Any],hoverState:[a.Any],initialViewState:[a.Any],layers:[a.Array,[]],mapbox_api_key:[a.String],tooltip:[a.Any],viewState:[a.Any]}),this.override({height:400,width:600})}}o.DeckGLPlot=h,h.__name__=\"DeckGLPlot\",h.__module__=\"panel.models.deckgl\",h.init_DeckGLPlot()},\n",
+       "      \"064eac2866\": function _(e,t,n){\n",
+       "      /*\n",
+       "          This file was adapted from https://github.com/uber/deck.gl/ the LICENSE\n",
+       "          below is preserved to comply with the original license.\n",
+       "          \n",
+       "          Copyright (c) 2015 - 2017 Uber Technologies, Inc.\n",
+       "          \n",
+       "          Permission is hereby granted, free of charge, to any person obtaining a copy\n",
+       "          of this software and associated documentation files (the \"Software\"), to deal\n",
+       "          in the Software without restriction, including without limitation the rights\n",
+       "          to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n",
+       "          copies of the Software, and to permit persons to whom the Software is\n",
+       "          furnished to do so, subject to the following conditions:\n",
+       "          \n",
+       "          The above copyright notice and this permission notice shall be included in\n",
+       "          all copies or substantial portions of the Software.\n",
+       "          \n",
+       "          THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n",
+       "          IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n",
+       "          FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n",
+       "          AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n",
+       "          LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n",
+       "          OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n",
+       "          THE SOFTWARE.\n",
+       "          */\n",
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+       "      \"093eb75864\": function 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i=s(this.type,this.json,this.useToJSON?this.json.toJSON():this.json);e.appendChild(document.createTextNode(i)),t.appendChild(e)}if(this.isObject&&this.config.hoverPreviewEnabled){var a=m(\"span\",\"preview-text\");a.appendChild(document.createTextNode(this.getInlinepreview())),t.appendChild(a)}var l=m(\"div\",\"children\");return this.isObject&&l.classList.add(f(\"object\")),this.isArray&&l.classList.add(f(\"array\")),this.isEmpty&&l.classList.add(f(\"empty\")),this.config&&this.config.theme&&this.element.classList.add(f(this.config.theme)),this.isOpen&&this.element.classList.add(f(\"open\")),this.element.appendChild(t),this.element.appendChild(l),this.isObject&&this.isOpen&&this.appendChildren(),this.isObject&&!this.useToJSON&&t.addEventListener(\"click\",this.toggleOpen.bind(this)),this.element},t.prototype.appendChildren=function(e){var r=this;void 0===e&&(e=!1);var n=this.element.querySelector(\"div.\"+f(\"children\"));if(n&&!this.isEmpty)if(e){var o=0,i=function(){var e=r.keys[o],s=new t(r.json[e],r.open-1,r.config,e);n.appendChild(s.render()),(o+=1)<r.keys.length&&(o>10?i():p(i))};p(i)}else this.keys.forEach((function(e){var o=new t(r.json[e],r.open-1,r.config,e);n.appendChild(o.render())}))},t.prototype.removeChildren=function(t){void 0===t&&(t=!1);var e=this.element.querySelector(\"div.\"+f(\"children\"));if(t){var r=0,n=function(){e&&e.children.length&&(e.removeChild(e.children[0]),(r+=1)>10?n():p(n))};p(n)}else e&&(e.innerHTML=\"\")},t}();r.default=h},\n",
+       "      \"61c9ac7aac\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(\"tslib\"),s=e(\"@bokehjs/models/widgets/input_widget\"),o=e(\"@bokehjs/styles/buttons\"),n=l.__importStar(e(\"@bokehjs/core/properties\"));class a extends s.InputWidgetView{constructor(){super(...arguments),this._downloadable=!1,this._embed=!1,this._prev_href=\"\",this._prev_download=\"\"}initialize(){super.initialize(),this.model.data&&this.model.filename&&(this._embed=!0)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.button_type.change,()=>this._update_button_style()),this.connect(this.model.properties.filename.change,()=>this._update_download()),this.connect(this.model.properties._transfers.change,()=>this._handle_click()),this.connect(this.model.properties.label.change,()=>this._update_label())}render(){super.render(),this.group_el.style.display=\"flex\",this.group_el.style.alignItems=\"stretch\",this.anchor_el=document.createElement(\"a\"),this._update_button_style(),this._update_label(),this.model.disabled?(this.anchor_el.setAttribute(\"disabled\",\"\"),this._downloadable=!1):(this.anchor_el.removeAttribute(\"disabled\"),this._prev_download&&(this.anchor_el.download=this._prev_download),this._prev_href&&(this.anchor_el.href=this._prev_href),this.anchor_el.download&&this.anchor_el.download&&(this._downloadable=!0)),this._embed?this._make_link_downloadable():(this._click_listener=this._increment_clicks.bind(this),this.anchor_el.addEventListener(\"click\",this._click_listener)),this.group_el.appendChild(this.anchor_el)}_increment_clicks(){this.model.clicks=this.model.clicks+1}_handle_click(){!this.model.auto&&this._downloadable||(this._make_link_downloadable(),!this._embed&&this.model.auto&&(this.anchor_el.removeEventListener(\"click\",this._click_listener),this.anchor_el.click(),this.anchor_el.removeAttribute(\"href\"),this.anchor_el.removeAttribute(\"download\"),this.anchor_el.addEventListener(\"click\",this._click_listener)),this._prev_href=this.anchor_el.getAttribute(\"href\"),this._prev_download=this.anchor_el.getAttribute(\"download\"))}_make_link_downloadable(){this._update_href(),this._update_download(),this.anchor_el.download&&this.anchor_el.href&&(this._downloadable=!0)}_update_href(){if(this.model.data){const e=function(e){const t=atob(e.split(\",\")[1]),i=e.split(\",\")[0].split(\":\")[1].split(\";\")[0],l=new ArrayBuffer(t.length),s=new Uint8Array(l);for(let e=0;e<t.length;e++)s[e]=t.charCodeAt(e);return new Blob([l],{type:i})}(this.model.data);this.anchor_el.href=URL.createObjectURL(e)}}_update_download(){this.model.filename&&(this.anchor_el.download=this.model.filename)}_update_label(){this.anchor_el.textContent=this.model.label}_update_button_style(){if(this.anchor_el.hasAttribute(\"class\")){const e=this.anchor_el.classList.item(1);e&&this.anchor_el.classList.replace(e,o.bk_btn_type(this.model.button_type))}else this.anchor_el.classList.add(o.bk_btn),this.anchor_el.classList.add(o.bk_btn_type(this.model.button_type))}}i.FileDownloadView=a,a.__name__=\"FileDownloadView\";class h extends s.InputWidget{constructor(e){super(e)}static init_FileDownload(){this.prototype.default_view=a,this.define({auto:[n.Boolean,!1],clicks:[n.Number,0],data:[n.String,null],label:[n.String,\"Download\"],filename:[n.String,null],button_type:[n.ButtonType,\"default\"],_transfers:[n.Number,0]}),this.override({title:\"\"})}}i.FileDownload=h,h.__name__=\"FileDownload\",h.__module__=\"panel.models.widgets\",h.init_FileDownload()},\n",
+       "      \"7b859fb3cf\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(\"@bokehjs/models/widgets/markup\"),n=e(\"7116a7a602\");class r extends n.PanelMarkupView{render(){super.render(),this.markup_el.innerHTML=this.model.text,window.renderMathInElement&&window.renderMathInElement(this.el,{delimiters:[{left:\"$$\",right:\"$$\",display:!0},{left:\"\\\\[\",right:\"\\\\]\",display:!0},{left:\"$\",right:\"$\",display:!1},{left:\"\\\\(\",right:\"\\\\)\",display:!1}]})}}i.KaTeXView=r,r.__name__=\"KaTeXView\";class s extends a.Markup{constructor(e){super(e)}static init_KaTeX(){this.prototype.default_view=r}}i.KaTeX=s,s.__name__=\"KaTeX\",s.__module__=\"panel.models.katex\",s.init_KaTeX()},\n",
+       "      \"0c21036737\": function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(\"@bokehjs/models/widgets/markup\"),s=e(\"7116a7a602\");class _ extends s.PanelMarkupView{initialize(){super.initialize(),this._hub=window.MathJax.Hub,this._hub.Config({tex2jax:{inlineMath:[[\"$\",\"$\"],[\"\\\\(\",\"\\\\)\"]]}})}render(){super.render(),this._hub&&(this.markup_el.innerHTML=this.model.text,this._hub.Queue([\"Typeset\",this._hub,this.markup_el]))}}a.MathJaxView=_,_.__name__=\"MathJaxView\";class h extends i.Markup{constructor(e){super(e)}static init_MathJax(){this.prototype.default_view=_}}a.MathJax=h,h.__name__=\"MathJax\",h.__module__=\"panel.models.mathjax\",h.init_MathJax()},\n",
+       "      \"79c41bbf71\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/models/widgets/widget\");function n(e){e.forEach(e=>e.style.borderStyle=\"inset\")}function a(e){e.forEach(e=>e.style.borderStyle=\"outset\")}class r extends l.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.value.change,()=>this.render()),this.connect(this.model.properties.loop_policy.change,()=>this.set_loop_state(this.model.loop_policy)),this.connect(this.model.properties.show_loop_controls.change,()=>{this.model.show_loop_controls&&this.loop_state.parentNode!=this.groupEl?this.groupEl.appendChild(this.loop_state):this.model.show_loop_controls||this.loop_state.parentNode!=this.groupEl||this.el.removeChild(this.loop_state)})}get_height(){return 250}render(){if(null!=this.sliderEl)return this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),void(this.sliderEl.value=String(this.model.value));super.render(),this.groupEl=o.div(),this.groupEl.style.display=\"flex\",this.groupEl.style.flexDirection=\"column\",this.groupEl.style.alignItems=\"center\",this.sliderEl=document.createElement(\"input\"),this.sliderEl.style.width=\"100%\",this.sliderEl.setAttribute(\"type\",\"range\"),this.sliderEl.value=String(this.model.value),this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),this.sliderEl.onchange=e=>this.set_frame(parseInt(e.target.value));const e=o.div();e.style.cssText=\"margin: 0 auto; display: flex; padding: 5px; align-items: stretch; width: 100%;\";const t=\"text-align: center; min-width: 20px; flex-grow: 1; margin: 2px\",s=\"text-align: center; min-width: 40px; flex-grow: 2; margin: 2px\",i=document.createElement(\"button\");i.style.cssText=t,i.appendChild(document.createTextNode(\"–\")),i.onclick=()=>this.slower(),e.appendChild(i);const l=document.createElement(\"button\");l.style.cssText=s,l.appendChild(document.createTextNode(\"❚◀◀\")),l.onclick=()=>this.first_frame(),e.appendChild(l);const r=document.createElement(\"button\");r.style.cssText=s,r.appendChild(document.createTextNode(\"❚◀\")),r.onclick=()=>this.previous_frame(),e.appendChild(r);const d=document.createElement(\"button\");d.style.cssText=s,d.appendChild(document.createTextNode(\"◀\")),d.onclick=()=>this.reverse_animation(),e.appendChild(d);const h=document.createElement(\"button\");h.style.cssText=s,h.appendChild(document.createTextNode(\"❚❚\")),h.onclick=()=>this.pause_animation(),e.appendChild(h);const p=document.createElement(\"button\");p.style.cssText=s,p.appendChild(document.createTextNode(\"▶\")),p.onclick=()=>this.play_animation(),e.appendChild(p);const c=document.createElement(\"button\");c.style.cssText=s,c.appendChild(document.createTextNode(\"▶❚\")),c.onclick=()=>this.next_frame(),e.appendChild(c);const m=document.createElement(\"button\");m.style.cssText=s,m.appendChild(document.createTextNode(\"▶▶❚\")),m.onclick=()=>this.last_frame(),e.appendChild(m);const _=document.createElement(\"button\");_.style.cssText=t,_.appendChild(document.createTextNode(\"+\")),_.onclick=()=>this.faster(),e.appendChild(_),this._toggle_reverse=()=>{a([h,p]),n([d])},this._toogle_pause=()=>{a([d,p]),n([h])},this._toggle_play=()=>{a([d,h]),n([p])},this.loop_state=document.createElement(\"form\"),this.loop_state.style.cssText=\"margin: 0 auto; display: table\";const u=document.createElement(\"input\");u.type=\"radio\",u.value=\"once\",u.name=\"state\";const g=document.createElement(\"label\");g.innerHTML=\"Once\",g.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const f=document.createElement(\"input\");f.setAttribute(\"type\",\"radio\"),f.setAttribute(\"value\",\"loop\"),f.setAttribute(\"name\",\"state\");const v=document.createElement(\"label\");v.innerHTML=\"Loop\",v.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const y=document.createElement(\"input\");y.setAttribute(\"type\",\"radio\"),y.setAttribute(\"value\",\"reflect\"),y.setAttribute(\"name\",\"state\");const x=document.createElement(\"label\");x.innerHTML=\"Reflect\",x.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\",\"once\"==this.model.loop_policy?u.checked=!0:\"loop\"==this.model.loop_policy?f.checked=!0:y.checked=!0,this.loop_state.appendChild(u),this.loop_state.appendChild(g),this.loop_state.appendChild(f),this.loop_state.appendChild(v),this.loop_state.appendChild(y),this.loop_state.appendChild(x),this.groupEl.appendChild(this.sliderEl),this.groupEl.appendChild(e),this.model.show_loop_controls&&this.groupEl.appendChild(this.loop_state),this.el.appendChild(this.groupEl)}set_frame(e){this.model.value!=e&&(this.model.value=e),this.sliderEl.value!=String(e)&&(this.sliderEl.value=String(e))}get_loop_state(){for(var e=this.loop_state.state,t=0;t<e.length;t++){var s=e[t];if(s.checked)return s.value}return\"once\"}set_loop_state(e){for(var t=this.loop_state.state,s=0;s<t.length;s++){var i=t[s];i.value==e&&(i.checked=!0)}}next_frame(){this.set_frame(Math.min(this.model.end,this.model.value+this.model.step))}previous_frame(){this.set_frame(Math.max(this.model.start,this.model.value-this.model.step))}first_frame(){this.set_frame(this.model.start)}last_frame(){this.set_frame(this.model.end)}slower(){this.model.interval=Math.round(this.model.interval/.7),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}faster(){this.model.interval=Math.round(.7*this.model.interval),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}anim_step_forward(){if(this.model.value<this.model.end)this.next_frame();else{var e=this.get_loop_state();\"loop\"==e?this.first_frame():\"reflect\"==e?(this.last_frame(),this.reverse_animation()):(this.pause_animation(),this.last_frame())}}anim_step_reverse(){if(this.model.value>this.model.start)this.previous_frame();else{var e=this.get_loop_state();\"loop\"==e?this.last_frame():\"reflect\"==e?(this.first_frame(),this.play_animation()):(this.pause_animation(),this.first_frame())}}pause_animation(){this._toogle_pause(),this.model.direction=0,this.timer&&(clearInterval(this.timer),this.timer=null)}play_animation(){this.pause_animation(),this._toggle_play(),this.model.direction=1,this.timer||(this.timer=setInterval(()=>this.anim_step_forward(),this.model.interval))}reverse_animation(){this.pause_animation(),this._toggle_reverse(),this.model.direction=-1,this.timer||(this.timer=setInterval(()=>this.anim_step_reverse(),this.model.interval))}}s.PlayerView=r,r.__name__=\"PlayerView\";class d extends l.Widget{constructor(e){super(e)}static init_Player(){this.prototype.default_view=r,this.define({direction:[i.Number,0],interval:[i.Number,500],start:[i.Number],end:[i.Number],step:[i.Number,1],loop_policy:[i.Any,\"once\"],value:[i.Any,0],show_loop_controls:[i.Boolean,!0]}),this.override({width:400})}}s.Player=d,d.__name__=\"Player\",d.__module__=\"panel.models.widgets\",d.init_Player()},\n",
+       "      \"56da045fbd\": function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),l=t(\"@bokehjs/core/util/object\"),r=t(\"@bokehjs/core/util/eq\"),s=t(\"@bokehjs/models/layouts/html_box\"),n=t(\"99a25e6992\"),a=t(\"990b5dd5c7\"),p=t(\"7116a7a602\"),h=(t,e,o)=>{let i=Array.isArray(e)?[]:{};if(\"click\"===o||\"hover\"===o||\"selected\"===o){const o=[];if(null==e)return null;const l=t.data;for(let t=0;t<e.points.length;t++){const i=e.points[t];let r={};for(let t in i){const e=i[t];!i.hasOwnProperty(t)||Array.isArray(e)||a.isPlainObject(e)||(r[t]=e)}null!=i&&(i.hasOwnProperty(\"curveNumber\")&&i.hasOwnProperty(\"pointNumber\")&&l[i.curveNumber].hasOwnProperty(\"customdata\")&&(r.customdata=l[i.curveNumber].customdata[i.pointNumber]),i.hasOwnProperty(\"pointNumbers\")&&(r.pointNumbers=i.pointNumbers)),o[t]=r}i.points=o}else if(\"relayout\"===o||\"restyle\"===o)for(let t in e)e.hasOwnProperty(t)&&(i[t]=e[t]);return e.hasOwnProperty(\"range\")&&(i.range=e.range),e.hasOwnProperty(\"lassoPoints\")&&(i.lassoPoints=e.lassoPoints),i};class _ extends p.PanelHTMLBoxView{constructor(){super(...arguments),this._settingViewport=!1,this._plotInitialized=!1,this._reacting=!1,this._relayouting=!1,this._end_relayouting=n.debounce(()=>{this._relayouting=!1},2e3,!1)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.viewport_update_policy.change,this._updateSetViewportFunction),this.connect(this.model.properties.viewport_update_throttle.change,this._updateSetViewportFunction),this.connect(this.model.properties._render_count.change,this.plot),this.connect(this.model.properties.viewport.change,this._updateViewportFromProperty)}render(){super.render(),window.Plotly&&this.plot()}plot(){if(!window.Plotly)return;const t=[];for(let e=0;e<this.model.data.length;e++)t.push(this._get_trace(e,!1));let e=a.deepCopy(this.model.layout);if(this._relayouting){const t=this.el.layout;Object.keys(t).reduce((t,o)=>{\"axis\"===o.slice(1,5)&&\"range\"in t&&(e[o].range=t.range)},{})}this._reacting=!0,window.Plotly.react(this.el,t,e,this.model.config).then(()=>{this._updateSetViewportFunction(),this._updateViewportProperty(),this._plotInitialized||(this.el.on(\"plotly_relayout\",t=>{!0!==t._update_from_property&&(this.model.relayout_data=h(this.el,t,\"relayout\"),this._updateViewportProperty(),this._end_relayouting())}),this.el.on(\"plotly_relayouting\",()=>{\"mouseup\"!==this.model.viewport_update_policy&&(this._relayouting=!0,this._updateViewportProperty())}),this.el.on(\"plotly_restyle\",t=>{this.model.restyle_data=h(this.el,t,\"restyle\"),this._updateViewportProperty()}),this.el.on(\"plotly_click\",t=>{this.model.click_data=h(this.el,t,\"click\")}),this.el.on(\"plotly_hover\",t=>{this.model.hover_data=h(this.el,t,\"hover\")}),this.el.on(\"plotly_selected\",t=>{this.model.selected_data=h(this.el,t,\"selected\")}),this.el.on(\"plotly_clickannotation\",t=>{delete t.event,delete t.fullAnnotation,this.model.clickannotation_data=t}),this.el.on(\"plotly_deselect\",()=>{this.model.selected_data=null}),this.el.on(\"plotly_unhover\",()=>{this.model.hover_data=null})),this._plotInitialized=!0,this._reacting=!1})}_get_trace(t,e){const o=l.clone(this.model.data[t]),i=this.model.data_sources[t];for(const t of i.columns()){let l=i.get_array(t)[0];if(null!=l.shape&&l.shape.length>1){const t=[],e=l.shape;for(let o=0;o<e[0];o++)t.push(l.slice(o*e[1],(o+1)*e[1]));l=t}let r=t.split(\".\"),s=r[r.length-1],n=o;for(let t of r.slice(0,-1))n=n[t];e&&1==r.length?n[s]=[l]:n[s]=l}return o}_updateViewportFromProperty(){if(!window.Plotly||this._settingViewport||this._reacting||!this.model.viewport)return;const t=this.el._fullLayout;Object.keys(this.model.viewport).reduce((e,o)=>{if(r.isEqual(a.get(t,o),e))return!0;{let t=a.deepCopy(this.model.viewport);return t._update_from_property=!0,window.Plotly.relayout(this.el,t),!1}},{})}_updateViewportProperty(){const t=this.el._fullLayout;let e={};for(let o in t){if(!t.hasOwnProperty(o))continue;let i=o.slice(0,5);\"xaxis\"!==i&&\"yaxis\"!==i||(e[o+\".range\"]=a.deepCopy(t[o].range))}r.isEqual(e,this.model.viewport)||this._setViewport(e)}_updateSetViewportFunction(){\"continuous\"===this.model.viewport_update_policy||\"mouseup\"===this.model.viewport_update_policy?this._setViewport=t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}:this._setViewport=a.throttle(t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)},this.model.viewport_update_throttle)}}o.PlotlyPlotView=_,_.__name__=\"PlotlyPlotView\";class d extends s.HTMLBox{constructor(t){super(t)}static init_PlotlyPlot(){this.prototype.default_view=_,this.define({data:[i.Array,[]],layout:[i.Any,{}],config:[i.Any,{}],data_sources:[i.Array,[]],relayout_data:[i.Any,{}],restyle_data:[i.Array,[]],click_data:[i.Any,{}],hover_data:[i.Any,{}],clickannotation_data:[i.Any,{}],selected_data:[i.Any,{}],viewport:[i.Any,{}],viewport_update_policy:[i.String,\"mouseup\"],viewport_update_throttle:[i.Number,200],_render_count:[i.Number,0]})}}o.PlotlyPlot=d,d.__name__=\"PlotlyPlot\",d.__module__=\"panel.models.plotly\",d.init_PlotlyPlot()},\n",
+       "      \"99a25e6992\": function _(n,l,u){function t(n,l,u){var t,e,o,a,r;function i(){var c=Date.now()-a;c<l&&c>=0?t=setTimeout(i,l-c):(t=null,u||(r=n.apply(o,e),o=e=null))}null==l&&(l=100);var c=function(){o=this,e=arguments,a=Date.now();var c=u&&!t;return t||(t=setTimeout(i,l)),c&&(r=n.apply(o,e),o=e=null),r};return c.clear=function(){t&&(clearTimeout(t),t=null)},c.flush=function(){t&&(r=n.apply(o,e),o=e=null,clearTimeout(t),t=null)},c}t.debounce=t,l.exports=t},\n",
+       "      \"990b5dd5c7\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.get=(t,e,n)=>{const r=n=>String.prototype.split.call(e,n).filter(Boolean).reduce((t,e)=>null!=t?t[e]:t,t),o=r(/[,[\\]]+?/)||r(/[,[\\].]+?/);return void 0===o||o===t?n:o},n.throttle=function(t,e){var n=0;return function(){var r=Number(new Date);r-n>=e&&(t(),n=r)}},n.deepCopy=function t(e){var n;if(null==e||\"object\"!=typeof e)return e;if(e instanceof Array){n=[];for(var r=0,o=e.length;r<o;r++)n[r]=t(e[r]);return n}if(e instanceof Object){const n={};for(const r in e){const o=r;e.hasOwnProperty(o)&&(n[o]=t(e[o]))}return n}throw new Error(\"Unable to copy obj! Its type isn't supported.\")},n.isPlainObject=function(t){return\"[object Object]\"===Object.prototype.toString.call(t)}},\n",
+       "      \"76307e5afa\": function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),r=e(\"7116a7a602\");class l extends o.HTMLBoxView{connect_signals(){super.connect_signals();const e=()=>{this.render(),this.root.compute_layout()};this.connect(this.model.properties.height.change,e),this.connect(this.model.properties.width.change,e),this.connect(this.model.properties.height_policy.change,e),this.connect(this.model.properties.width_policy.change,e),this.connect(this.model.properties.sizing_mode.change,e),this.connect(this.model.properties.active.change,()=>this.setCSS()),this.connect(this.model.properties.bar_color.change,()=>this.setCSS()),this.connect(this.model.properties.css_classes.change,()=>this.setCSS()),this.connect(this.model.properties.value.change,()=>this.setValue()),this.connect(this.model.properties.max.change,()=>this.setMax())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.progressEl=document.createElement(\"progress\"),this.setValue(),this.setMax(),r.set_size(this.progressEl,this.model),this.setCSS();for(const s in e)this.progressEl.style.setProperty(s,e[s]);this.el.appendChild(this.progressEl)}setCSS(){let e=this.model.css_classes.join(\" \")+\" \"+this.model.bar_color;this.model.active&&(e+=\" active\"),this.progressEl.className=e}setValue(){null!=this.model.value&&(this.progressEl.value=this.model.value)}setMax(){null!=this.model.max&&(this.progressEl.max=this.model.max)}_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new r.CachedVariadicBox(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}}t.ProgressView=l,l.__name__=\"ProgressView\";class h extends o.HTMLBox{constructor(e){super(e)}static init_Progress(){this.prototype.default_view=l,this.define({active:[i.Boolean,!0],bar_color:[i.String,\"primary\"],style:[i.Any,{}],max:[i.Number,100],value:[i.Number,null]})}}t.Progress=h,h.__name__=\"Progress\",h.__module__=\"panel.models.widgets\",h.init_Progress()},\n",
+       "      \"38b2bc9574\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),a=e(\"@bokehjs/core/view\"),o=e(\"@bokehjs/core/util/array\"),c=e(\"@bokehjs/model\"),n=e(\"@bokehjs/protocol/receiver\");class r extends a.View{renderTo(){}}s.StateView=r,r.__name__=\"StateView\";class _ extends c.Model{constructor(e){super(e),this._receiver=new n.Receiver,this._cache={}}apply_state(e){this._receiver.consume(e.header),this._receiver.consume(e.metadata),this._receiver.consume(e.content),this._receiver.message&&this.document&&this.document.apply_json_patch(this._receiver.message.content)}_receive_json(e,t){const s=JSON.parse(e);this._cache[t]=s;let i=this.state;for(const e of this.values)i=i[e];i===t?this.apply_state(s):this._cache[i]&&this.apply_state(this._cache[i])}set_state(e,t){let s=o.copy(this.values);s[this.widgets[e.id]]=t;let i=this.state;for(const e of s)i=i[e];var a,c,n;this.values=s,this.json?this._cache[i]?this.apply_state(this._cache[i]):(a=i,c=e=>this._receive_json(e,i),(n=new XMLHttpRequest).overrideMimeType(\"application/json\"),n.open(\"GET\",a,!0),n.onreadystatechange=function(){4==n.readyState&&200==n.status&&c(n.responseText)},n.send(null)):this.apply_state(i)}static init_State(){this.prototype.default_view=r,this.define({json:[i.Boolean,!1],state:[i.Any,{}],widgets:[i.Any,{}],values:[i.Any,[]]})}}s.State=_,_.__name__=\"State\",_.__module__=\"panel.models.state\",_.init_State()},\n",
+       "      \"294adeb985\": function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),a=t(\"@bokehjs/core/util/types\"),n=t(\"@bokehjs/models/layouts/html_box\");class c extends n.HTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,this._plot),this.connect(this.model.properties.data_sources.change,()=>this._connect_sources()),this._connected=[],this._connect_sources()}_connect_sources(){for(const t in this.model.data_sources){const e=this.model.data_sources[t];this._connected.indexOf(t)<0&&(this.connect(e.properties.data.change,this._plot),this._connected.push(t))}}_fetch_datasets(){const t={};for(const e in this.model.data_sources){const s=this.model.data_sources[e],o=[],a=s.columns();for(let t=0;t<s.get_length();t++){const e={};for(const o of a)e[o]=s.data[o][t];o.push(e)}t[e]=o}return t}render(){super.render(),this._plot()}_plot(){const t=this.model.data;if(null!=t&&window.vegaEmbed){if(this.model.data_sources&&Object.keys(this.model.data_sources).length>0){const e=this._fetch_datasets();if(\"data\"in e&&(t.data.values=e.data,delete e.data),null!=t.data){const s=a.isArray(t.data)?t.data:[t.data];for(const t of s)t.name in e&&(t.values=e[t.name],delete e[t.name])}this.model.data.datasets=e}window.vegaEmbed(this.el,this.model.data,{actions:!1})}}}s.VegaPlotView=c,c.__name__=\"VegaPlotView\";class i extends n.HTMLBox{constructor(t){super(t)}static init_VegaPlot(){this.prototype.default_view=c,this.define({data:[o.Any],data_sources:[o.Any]})}}s.VegaPlot=i,i.__name__=\"VegaPlot\",i.__module__=\"panel.models.vega\",i.init_VegaPlot()},\n",
+       "      \"b0c3e9e9c2\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.videoEl.controls=!0,this.videoEl.src=this.model.value,this.videoEl.currentTime=this.model.time,this.videoEl.loop=this.model.loop,null!=this.model.volume?this.videoEl.volume=this.model.volume/100:this.model.volume=100*this.videoEl.volume,this.videoEl.onpause=()=>this.model.paused=!0,this.videoEl.onplay=()=>this.model.paused=!1,this.videoEl.ontimeupdate=()=>this.update_time(this),this.videoEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.videoEl),this.model.paused||this.videoEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.videoEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.videoEl.volume)}set_loop(){this.videoEl.loop=this.model.loop}set_paused(){!this.videoEl.paused&&this.model.paused&&this.videoEl.pause(),this.videoEl.paused&&!this.model.paused&&this.videoEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.videoEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.videoEl.currentTime=this.model.time)}set_value(){this.videoEl.src=this.model.value}}t.VideoView=d,d.__name__=\"VideoView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_Video(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}t.Video=h,h.__name__=\"Video\",h.__module__=\"panel.models.widgets\",h.init_Video()},\n",
+       "      \"3c7145a2fa\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"7116a7a602\");class a extends h.PanelHTMLBoxView{constructor(){super(...arguments),this.constraints={audio:!1,video:!0}}initialize(){super.initialize(),null!==this.model.timeout&&this.set_timeout()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.timeout.change,()=>this.set_timeout()),this.connect(this.model.properties.snapshot.change,()=>this.snapshot()),this.connect(this.model.properties.paused.change,()=>this.pause())}pause(){this.model.paused&&(null!=this.timer&&(clearInterval(this.timer),this.timer=null),this.videoEl.pause()),this.set_timeout()}set_timeout(){this.timer&&(clearInterval(this.timer),this.timer=null),this.model.timeout>0&&(this.timer=setInterval(()=>this.snapshot(),this.model.timeout))}snapshot(){this.canvasEl.width=this.videoEl.videoWidth,this.canvasEl.height=this.videoEl.videoHeight;const e=this.canvasEl.getContext(\"2d\");e&&e.drawImage(this.videoEl,0,0,this.canvasEl.width,this.canvasEl.height),this.model.value=this.canvasEl.toDataURL(\"image/\"+this.model.format,.95)}remove(){super.remove(),this.timer&&(clearInterval(this.timer),this.timer=null)}render(){super.render(),this.videoEl||(this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.canvasEl=document.createElement(\"canvas\"),this.el.appendChild(this.videoEl),navigator.mediaDevices.getUserMedia&&navigator.mediaDevices.getUserMedia(this.constraints).then(e=>{this.videoEl.srcObject=e,this.model.paused||this.videoEl.play()}).catch(console.error))}}i.VideoStreamView=a,a.__name__=\"VideoStreamView\";class l extends o.HTMLBox{constructor(e){super(e)}static init_VideoStream(){this.prototype.default_view=a,this.define({format:[s.String,\"png\"],paused:[s.Boolean,!1],snapshot:[s.Boolean,!1],timeout:[s.Number,0],value:[s.Any]}),this.override({height:240,width:320})}}i.VideoStream=l,l.__name__=\"VideoStream\",l.__module__=\"panel.models.widgets\",l.init_VideoStream()},\n",
+       "      \"ecfbb965eb\": function _(e,o,l){Object.defineProperty(l,\"__esModule\",{value:!0});var V=e(\"5b5e56e89a\");l.VTKPlot=V.VTKPlot;var t=e(\"729dd26c71\");l.VTKVolumePlot=t.VTKVolumePlot;var K=e(\"e23461e5d7\");l.VTKAxes=K.VTKAxes},\n",
+       "      \"5b5e56e89a\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/core/dom\"),a=e(\"c704c63c0a\"),o=e(\"aaf560d219\");class r extends a.AbstractVTKView{constructor(){super(...arguments),this._axes_initialized=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.axes.change,()=>{this._delete_axes(),this.model.axes&&this._set_axes(),this._vtk_renwin.getRenderWindow().render()}),this.el.addEventListener(\"mouseenter\",()=>{const e=this._vtk_renwin.getInteractor();this.model.enable_keybindings&&(document.querySelector(\"body\").addEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").addEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").addEventListener(\"keyup\",e.handleKeyUp))}),this.el.addEventListener(\"mouseleave\",()=>{const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)})}render(){super.render(),this._axes=null,this._axes_initialized=!1,this._plot()}after_layout(){this._axes_initialized||(this._render_axes_canvas(),this._axes_initialized=!0)}_render_axes_canvas(){const e=this._vtk_container.getElementsByTagName(\"canvas\");if(1!=e.length)throw Error(\"Error at initialization of the 3D scene, container should have one and only one canvas\");e[0].classList.add(\"scene3d-canvas\");const t=i.canvas({style:{position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"}});t.classList.add(\"axes-canvas\"),this._vtk_container.appendChild(t),this._vtk_renwin.setResizeCallback(()=>{const e=this._vtk_container.getBoundingClientRect(),n=Math.floor(e.width*window.devicePixelRatio),s=Math.floor(e.height*window.devicePixelRatio);t.setAttribute(\"width\",n.toFixed()),t.setAttribute(\"height\",s.toFixed())})}_delete_axes(){if(null==this._axes)return;Object.keys(this._axes).forEach(e=>this._vtk_renwin.getRenderer().removeActor(this._axes[e]));const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],t=e.getContext(\"2d\");t&&t.clearRect(0,0,e.clientWidth*window.devicePixelRatio,e.clientHeight*window.devicePixelRatio),this._axes=null}_set_axes(){if(this.model.axes){const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],{psActor:t,axesActor:n,gridActor:s}=this.model.axes.create_axes(e);this._axes={psActor:t,axesActor:n,gridActor:s},this._vtk_renwin.getRenderer().addActor(t),this._vtk_renwin.getRenderer().addActor(n),this._vtk_renwin.getRenderer().addActor(s)}}_plot(){if(!this.model.data)return void this._vtk_renwin.getRenderWindow().render();const e=o.vtkns.DataAccessHelper.get(\"zip\",{zipContent:atob(this.model.data),callback:t=>{const n=o.vtkns.HttpSceneLoader.newInstance({renderer:this._vtk_renwin.getRenderer(),dataAccessHelper:e}),s=o.vtk.macro.debounce(()=>{null==this._axes&&this.model.axes&&this._set_axes(),this.model.properties.camera.change.emit()},100);n.setUrl(\"index.json\"),n.onReady(s)}})}}n.VTKPlotView=r,r.__name__=\"VTKPlotView\";class d extends a.AbstractVTKPlot{constructor(e){super(e),this.outline=o.vtkns.OutlineFilter.newInstance();const t=o.vtkns.Mapper.newInstance();t.setInputConnection(this.outline.getOutputPort()),this.outline_actor=o.vtkns.Actor.newInstance(),this.outline_actor.setMapper(t)}static init_VTKPlot(){this.prototype.default_view=r,this.define({data:[s.String],axes:[s.Instance],enable_keybindings:[s.Boolean,!1]})}}n.VTKPlot=d,d.__name__=\"VTKPlot\",d.init_VTKPlot()},\n",
+       "      \"c704c63c0a\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"@bokehjs/core/dom\"),s=e(\"@bokehjs/core/util/object\"),a=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"7116a7a602\"),_=e(\"aaf560d219\");class d extends o.PanelHTMLBoxView{constructor(){super(...arguments),this._setting_camera=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>{this.invalidate_render()}),this.connect(this.model.properties.orientation_widget.change,()=>{this._orientation_widget_visibility(this.model.orientation_widget)}),this.connect(this.model.properties.camera.change,()=>this._set_camera_state())}_orientation_widget_visibility(e){this._orientationWidget.setEnabled(e),e?this._widgetManager.enablePicking():this._widgetManager.disablePicking(),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderWindow().render()}_create_orientation_widget(){const e=_.vtkns.AxesActor.newInstance(),t=_.vtkns.OrientationMarkerWidget.newInstance({actor:e,interactor:this._vtk_renwin.getInteractor()});t.setEnabled(!0),t.setViewportCorner(_.vtkns.OrientationMarkerWidget.Corners.BOTTOM_RIGHT),t.setViewportSize(.15),t.setMinPixelSize(100),t.setMaxPixelSize(300),this._orientationWidget=t;const i=_.vtkns.WidgetManager.newInstance();i.setRenderer(t.getRenderer());const n=_.vtkns.InteractiveOrientationWidget.newInstance();n.placeWidget(e.getBounds()),n.setBounds(e.getBounds()),n.setPlaceFactor(1);const r=i.addWidget(n);this._widgetManager=i,r.onOrientationChange(({direction:e})=>{const t=this._vtk_renwin.getRenderer().getActiveCamera(),i=t.getFocalPoint(),n=t.getPosition(),r=t.getViewUp(),s=Math.sqrt(Math.pow(n[0]-i[0],2)+Math.pow(n[1]-i[1],2)+Math.pow(n[2]-i[2],2));t.setPosition(i[0]+e[0]*s,i[1]+e[1]*s,i[2]+e[2]*s),e[0]&&t.setViewUp(_.majorAxis(r,1,2)),e[1]&&t.setViewUp(_.majorAxis(r,0,2)),e[2]&&t.setViewUp(_.majorAxis(r,0,1)),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}),this._orientation_widget_visibility(this.model.orientation_widget)}_get_camera_state(){if(!this._setting_camera){this._setting_camera=!0;const e=s.clone(this._vtk_renwin.getRenderer().getActiveCamera().get());delete e.classHierarchy,delete e.vtkObject,delete e.vtkCamera,delete e.viewPlaneNormal,this.model.camera=e,this._setting_camera=!1}}_set_camera_state(){if(!this._setting_camera){this._setting_camera=!0;try{this.model.camera&&this._vtk_renwin.getRenderer().getActiveCamera().set(this.model.camera)}finally{this._setting_camera=!1}this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}}render(){super.render(),this._orientationWidget=null,this._vtk_container=r.div(),o.set_size(this._vtk_container,this.model),this.el.appendChild(this._vtk_container),this._vtk_renwin=_.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container}),this._remove_default_key_binding(),this._create_orientation_widget(),this._vtk_renwin.getRenderer().getActiveCamera().onModified(()=>this._get_camera_state()),this._set_camera_state(),this.model.renderer_el=this._vtk_renwin}after_layout(){super.after_layout(),this._vtk_renwin.resize()}_remove_default_key_binding(){const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}}i.AbstractVTKView=d,d.__name__=\"AbstractVTKView\";class c extends a.HTMLBox{constructor(e){super(e)}getActors(){return this.renderer_el.getRenderer().getActors()}static init_AbstractVTKPlot(){this.define({orientation_widget:[n.Boolean,!1],camera:[n.Instance]}),this.override({height:300,width:300})}}i.AbstractVTKPlot=c,c.__name__=\"AbstractVTKPlot\",c.__module__=\"panel.models.vtk\",c.init_AbstractVTKPlot()},\n",
+       "      \"aaf560d219\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"@bokehjs/core/util/array\");function a(t){const e=Math.min(Math.max(Math.round(t),0),255).toString(16);return 2==e.length?e:\"0\"+e}function o(t,e,n){return\"#\"+a(t)+a(e)+a(n)}function i(t){for(var e=new ArrayBuffer(t.length),n=new Uint8Array(e),r=0,a=t.length;r<a;r++)n[r]=t.charCodeAt(r);return e}n.ARRAY_TYPES={uint8:Uint8Array,int8:Int8Array,uint16:Uint16Array,int16:Int16Array,uint32:Uint32Array,int32:Int32Array,float32:Float32Array,float64:Float64Array},n.vtk=window.vtk,n.vtkns={},n.vtk&&(n.vtkns.DataArray=n.vtk.Common.Core.vtkDataArray,n.vtkns.ImageData=n.vtk.Common.DataModel.vtkImageData,n.vtkns.OutlineFilter=n.vtk.Filters.General.vtkOutlineFilter,n.vtkns.CubeSource=n.vtk.Filters.Sources.vtkCubeSource,n.vtkns.LineSource=n.vtk.Filters.Sources.vtkLineSource,n.vtkns.PlaneSource=n.vtk.Filters.Sources.vtkPlaneSource,n.vtkns.PointSource=n.vtk.Filters.Sources.vtkPointSource,n.vtkns.OrientationMarkerWidget=n.vtk.Interaction.Widgets.vtkOrientationMarkerWidget,n.vtkns.DataAccessHelper=n.vtk.IO.Core.DataAccessHelper,n.vtkns.HttpSceneLoader=n.vtk.IO.Core.vtkHttpSceneLoader,n.vtkns.ImageSlice=n.vtk.Rendering.Core.vtkImageSlice,n.vtkns.Actor=n.vtk.Rendering.Core.vtkActor,n.vtkns.AxesActor=n.vtk.Rendering.Core.vtkAxesActor,n.vtkns.Mapper=n.vtk.Rendering.Core.vtkMapper,n.vtkns.ImageMapper=n.vtk.Rendering.Core.vtkImageMapper,n.vtkns.SphereMapper=n.vtk.Rendering.Core.vtkSphereMapper,n.vtkns.WidgetManager=n.vtk.Widgets.Core.vtkWidgetManager,n.vtkns.InteractiveOrientationWidget=n.vtk.Widgets.Widgets3D.vtkInteractiveOrientationWidget,n.vtkns.PixelSpaceCallbackMapper=n.vtk.Rendering.Core.vtkPixelSpaceCallbackMapper,n.vtkns.FullScreenRenderWindow=n.vtk.Rendering.Misc.vtkFullScreenRenderWindow,n.vtkns.VolumeController=n.vtk.Interaction.UI.vtkVolumeController,n.vtkns.Volume=n.vtk.Rendering.Core.vtkVolume,n.vtkns.VolumeMapper=n.vtk.Rendering.Core.vtkVolumeMapper,n.vtkns.ColorTransferFunction=n.vtk.Rendering.Core.vtkColorTransferFunction,n.vtkns.PiecewiseFunction=n.vtk.Common.DataModel.vtkPiecewiseFunction,n.vtkns.BoundingBox=n.vtk.Common.DataModel.vtkBoundingBox),n.hexToRGB=function(t){return[parseInt(t.slice(1,3),16)/255,parseInt(t.slice(3,5),16)/255,parseInt(t.slice(5,7),16)/255]},n.rgbToHex=o,n.vtkLutToMapper=function(t){const{scale:e,nodes:a}=t.get(\"scale\",\"nodes\");if(e!==n.vtkns.ColorTransferFunction.Scale.LINEAR)throw\"Error transfer function scale not handle\";const i=a.map(t=>t.x),s=Math.min(...i),k=Math.max(...i),v=r.linspace(s,k,255),c=[0,0,0];return{low:s,high:k,palette:v.map(e=>(t.getColor(e,c),o(255*c[0],255*c[1],255*c[2])))}},n.data2VTKImageData=function(t){const e=n.vtkns.ImageData.newInstance({spacing:t.spacing});e.setDimensions(t.dims),e.setOrigin(null!=t.origin?t.origin:t.dims.map(t=>t/2));const r=n.vtkns.DataArray.newInstance({name:\"scalars\",numberOfComponents:1,values:new n.ARRAY_TYPES[t.dtype](i(atob(t.buffer)))});return e.getPointData().setScalars(r),e},n.majorAxis=function(t,e,n){const r=[0,0,0],a=Math.abs(t[e])>Math.abs(t[n])?e:n,o=t[a]>0?1:-1;return r[a]=o,r},n.cartesian_product=function(...t){return t.reduce((t,e)=>t.flatMap(t=>e.map(e=>[].concat(t,e))))}},\n",
+       "      \"729dd26c71\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"c704c63c0a\"),n=e(\"aaf560d219\");class o extends r.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.colormap.change,()=>{this.colormap_slector.value=this.model.colormap;const e=new Event(\"change\");this.colormap_slector.dispatchEvent(e)}),this.connect(this.model.properties.shadow.change,()=>{this.shadow_selector.value=this.model.shadow?\"1\":\"0\";const e=new Event(\"change\");this.shadow_selector.dispatchEvent(e)}),this.connect(this.model.properties.sampling.change,()=>{this.sampling_slider.value=this.model.sampling.toFixed(2);const e=new Event(\"input\");this.sampling_slider.dispatchEvent(e)}),this.connect(this.model.properties.edge_gradient.change,()=>{this.edge_gradient_slider.value=this.model.edge_gradient.toFixed(2);const e=new Event(\"input\");this.edge_gradient_slider.dispatchEvent(e)}),this.connect(this.model.properties.rescale.change,()=>{this._controllerWidget.setRescaleColorMap(this.model.rescale),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.ambient.change,()=>{this.volume.getProperty().setAmbient(this.model.ambient),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.diffuse.change,()=>{this.volume.getProperty().setDiffuse(this.model.diffuse),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular.change,()=>{this.volume.getProperty().setSpecular(this.model.specular),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular_power.change,()=>{this.volume.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_volume.change,()=>{this._set_volume_visibility(this.model.display_volume),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_slices.change,()=>{this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_i.change,()=>{this.image_actor_i.getMapper().setISlice(this.model.slice_i),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_j.change,()=>{this.image_actor_j.getMapper().setJSlice(this.model.slice_j),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_k.change,()=>{this.image_actor_k.getMapper().setKSlice(this.model.slice_k),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.render_background.change,()=>{this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.interpolation.change,()=>{this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderWindow().render()})}get volume(){return this._controllerWidget.getActor()}get image_actor_i(){return this._vtk_renwin.getRenderer().getActors()[0]}get image_actor_j(){return this._vtk_renwin.getRenderer().getActors()[1]}get image_actor_k(){return this._vtk_renwin.getRenderer().getActors()[2]}get shadow_selector(){return this.el.querySelector(\".js-shadow\")}get edge_gradient_slider(){return this.el.querySelector(\".js-edge\")}get sampling_slider(){return this.el.querySelector(\".js-spacing\")}get colormap_slector(){return this.el.querySelector(\".js-color-preset\")}_set_interpolation(e){\"fast_linear\"==e?(this.volume.getProperty().setInterpolationTypeToFastLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):\"linear\"==e?(this.volume.getProperty().setInterpolationTypeToLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):(this.volume.getProperty().setInterpolationTypeToNearest(),this.image_actor_i.getProperty().setInterpolationTypeToNearest())}render(){super.render(),this._controllerWidget=n.vtkns.VolumeController.newInstance({size:[400,150],rescaleColorMap:this.model.rescale}),this._vtk_image_data=n.data2VTKImageData(this.model.data),this._controllerWidget.setContainer(this.el),this._vtk_renwin.getRenderWindow().getInteractor(),this._vtk_renwin.getRenderWindow().getInteractor().setDesiredUpdateRate(45),this._plot_volume(),this._connect_controls(),this._plot_slices(),this._set_volume_visibility(this.model.display_volume),this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderer().resetCamera()}_connect_controls(){this.colormap_slector.addEventListener(\"change\",()=>{this.model.colormap=this.colormap_slector.value}),this.model.colormap?this.model.properties.colormap.change.emit():this.model.colormap=this.colormap_slector.value,this.shadow_selector.addEventListener(\"change\",()=>{this.model.shadow=!!Number(this.shadow_selector.value)}),(this.model.shadow=!!Number(this.shadow_selector.value))&&this.model.properties.shadow.change.emit(),this.sampling_slider.addEventListener(\"input\",()=>{const e=Number(this.sampling_slider.value);Math.abs(this.model.sampling-e)>=.005&&(this.model.sampling=e)}),Math.abs(this.model.sampling-Number(this.shadow_selector.value))>=.005&&this.model.properties.sampling.change.emit(),this.edge_gradient_slider.addEventListener(\"input\",()=>{const e=Number(this.edge_gradient_slider.value);Math.abs(this.model.edge_gradient-e)>=.005&&(this.model.edge_gradient=e)}),Math.abs(this.model.edge_gradient-Number(this.edge_gradient_slider.value))>=.005&&this.model.properties.edge_gradient.change.emit()}_plot_volume(){const e=this._vtk_image_data,t=n.vtkns.Volume.newInstance(),i=n.vtkns.VolumeMapper.newInstance();t.setMapper(i),i.setInputData(e);const s=(e.getPointData().getScalars()||e.getPointData().getArrays()[0]).getRange(),r=n.vtkns.ColorTransferFunction.newInstance();r.onModified(()=>this.model.mapper=n.vtkLutToMapper(r));const o=n.vtkns.PiecewiseFunction.newInstance(),a=.7*Math.sqrt(e.getSpacing().map(e=>e*e).reduce((e,t)=>e+t,0));i.setSampleDistance(a),t.getProperty().setRGBTransferFunction(0,r),t.getProperty().setScalarOpacity(0,o),t.getProperty().setInterpolationTypeToFastLinear(),t.getProperty().setScalarOpacityUnitDistance(0,n.vtkns.BoundingBox.getDiagonalLength(e.getBounds())/Math.max(...e.getDimensions())),t.getProperty().setGradientOpacityMinimumValue(0,0),t.getProperty().setGradientOpacityMaximumValue(0,.05*(s[1]-s[0])),t.getProperty().setShade(this.model.shadow),t.getProperty().setUseGradientOpacity(0,!0),t.getProperty().setGradientOpacityMinimumOpacity(0,0),t.getProperty().setGradientOpacityMaximumOpacity(0,1),t.getProperty().setAmbient(this.model.ambient),t.getProperty().setDiffuse(this.model.diffuse),t.getProperty().setSpecular(this.model.specular),t.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderer().addVolume(t),this._controllerWidget.setupContent(this._vtk_renwin.getRenderWindow(),t,!0)}_plot_slices(){const e=this._vtk_image_data,t=n.vtkns.ImageSlice.newInstance(),i=n.vtkns.ImageSlice.newInstance(),s=n.vtkns.ImageSlice.newInstance(),r=n.vtkns.ImageMapper.newInstance(),o=n.vtkns.ImageMapper.newInstance(),a=n.vtkns.ImageMapper.newInstance();r.setInputData(e),r.setISlice(this.model.slice_i),t.setMapper(r),o.setInputData(e),o.setJSlice(this.model.slice_j),i.setMapper(o),a.setInputData(e),a.setKSlice(this.model.slice_k),s.setMapper(a);const l=n.vtkns.PiecewiseFunction.newInstance();l.removeAllPoints(),l.addPoint(0,1);const c=this.volume.getProperty().getRGBTransferFunction(0),d=t.getProperty();i.setProperty(d),s.setProperty(d),d.setRGBTransferFunction(c),d.setScalarOpacity(l);const h=this._vtk_renwin.getRenderer();h.addActor(t),h.addActor(i),h.addActor(s)}_set_volume_visibility(e){this.volume.setVisibility(e)}_set_slices_visibility(e){this._vtk_renwin.getRenderer().getActors().map(t=>t.setVisibility(e))}}i.VTKVolumePlotView=o,o.__name__=\"VTKVolumePlotView\";class a extends r.AbstractVTKPlot{constructor(e){super(e)}static init_VTKVolumePlot(){this.prototype.default_view=o,this.define({data:[s.Instance],shadow:[s.Boolean,!0],sampling:[s.Number,.4],edge_gradient:[s.Number,.2],colormap:[s.String],rescale:[s.Boolean,!1],ambient:[s.Number,.2],diffuse:[s.Number,.7],specular:[s.Number,.3],specular_power:[s.Number,8],slice_i:[s.Int,0],slice_j:[s.Int,0],slice_k:[s.Int,0],display_volume:[s.Boolean,!0],display_slices:[s.Boolean,!1],render_background:[s.String,\"#52576e\"],interpolation:[s.Any,\"fast_linear\"],mapper:[s.Instance]})}}i.VTKVolumePlot=a,a.__name__=\"VTKVolumePlot\",a.init_VTKVolumePlot()},\n",
+       "      \"e23461e5d7\": function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(\"tslib\"),n=t(\"2f3fd5db07\"),a=t(\"@bokehjs/model\"),c=e.__importStar(t(\"@bokehjs/core/properties\")),r=t(\"aaf560d219\");class h extends a.Model{constructor(t){super(t)}static init_VTKAxes(){this.define({origin:[c.Array],xticker:[c.Instance],yticker:[c.Instance],zticker:[c.Instance],digits:[c.Number,1],show_grid:[c.Boolean,!0],grid_opacity:[c.Number,.1],axes_opacity:[c.Number,1],fontsize:[c.Number,12]})}get xticks(){return this.xticker.ticks}get yticks(){return this.yticker.ticks}get zticks(){return this.zticker.ticks}get xlabels(){return this.xticker.labels?this.xticker.labels:this.xticks.map(t=>t.toFixed(this.digits))}get ylabels(){return this.yticker.labels?this.yticker.labels:this.yticks.map(t=>t.toFixed(this.digits))}get zlabels(){return this.zticker.labels?this.zticker.labels:this.zticks.map(t=>t.toFixed(this.digits))}_make_grid_lines(t,s,i){const e=[];for(let n=0;n<t-1;n++)for(let t=0;t<s-1;t++){const a=n*s+t+i,c=[5,a,n*s+t+1+i,(n+1)*s+t+1+i,(n+1)*s+t+i,a];e.push(c)}return e}_create_grid_axes(){const t=[];t.push(r.cartesian_product(this.xticks,this.yticks,[this.origin[2]])),t.push(r.cartesian_product([this.origin[0]],this.yticks,this.zticks)),t.push(r.cartesian_product(this.xticks,[this.origin[1]],this.zticks));const s=[];let i=0;s.push(this._make_grid_lines(this.xticks.length,this.yticks.length,i)),i+=this.xticks.length*this.yticks.length,s.push(this._make_grid_lines(this.yticks.length,this.zticks.length,i)),i+=this.yticks.length*this.zticks.length,s.push(this._make_grid_lines(this.xticks.length,this.zticks.length,i));const e=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:t.flat(2)},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:s.flat(2)}}),n=r.vtkns.Mapper.newInstance(),a=r.vtkns.Actor.newInstance();return n.setInputData(e),a.setMapper(n),a.getProperty().setOpacity(this.grid_opacity),a.setVisibility(this.show_grid),a}create_axes(t){const s=[this.xticks,this.yticks,this.zticks].map((t,s)=>{let i=null;switch(s){case 0:i=r.cartesian_product(t,[this.origin[1]],[this.origin[2]]);break;case 1:i=r.cartesian_product([this.origin[0]],t,[this.origin[2]]);break;case 2:i=r.cartesian_product([this.origin[0]],[this.origin[1]],t)}return i}).flat(2),i=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:s},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:[2,0,this.xticks.length-1,2,this.xticks.length,this.xticks.length+this.yticks.length-1,2,this.xticks.length+this.yticks.length,this.xticks.length+this.yticks.length+this.zticks.length-1]}}),e=r.vtkns.PixelSpaceCallbackMapper.newInstance();e.setInputData(i),e.setUseZValues(!0),e.setCallback((s,i,a)=>{const c=t.getContext(\"2d\");if(c){const r={height:t.clientHeight*window.devicePixelRatio,width:t.clientWidth*window.devicePixelRatio},h=e.getInputData().getPoints(),l=i.getViewMatrix();n.mat4.transpose(l,l);const o=i.getProjectionMatrix(a,-1,1);n.mat4.transpose(o,o),c.clearRect(0,0,r.width,r.height),s.forEach((t,s)=>{const i=h.getPoint(s),e=n.vec3.fromValues(i[0],i[1],i[2]);if(n.vec3.transformMat4(e,e,l),e[2]+=.05,n.vec3.transformMat4(e,e,o),e[2]-.001<t[3]){let i;c.font=\"30px serif\",c.textAlign=\"center\",c.textBaseline=\"alphabetic\",c.fillText(\".\",t[0],r.height-t[1]+2),c.font=this.fontsize*window.devicePixelRatio+\"px serif\",c.textAlign=\"right\",c.textBaseline=\"top\",i=s<this.xticks.length?this.xlabels[s]:s>=this.xticks.length&&s<this.xticks.length+this.yticks.length?this.ylabels[s-this.xticks.length]:this.zlabels[s-(this.xticks.length+this.yticks.length)],c.fillText(\"\"+i,t[0],r.height-t[1])}})}});const a=r.vtkns.Actor.newInstance();a.setMapper(e);const c=r.vtkns.Mapper.newInstance();c.setInputData(i);const h=r.vtkns.Actor.newInstance();return h.setMapper(c),h.getProperty().setOpacity(this.axes_opacity),{psActor:a,axesActor:h,gridActor:this._create_grid_axes()}}}i.VTKAxes=h,h.__name__=\"VTKAxes\",h.__module__=\"panel.models.vtk\",h.init_VTKAxes()},\n",
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+       "      \"68ca94c15c\": function _(t,a,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.EPSILON=1e-6,r.ARRAY_TYPE=\"undefined\"!=typeof Float32Array?Float32Array:Array,r.RANDOM=Math.random,r.setMatrixArrayType=function(t){r.ARRAY_TYPE=t};var n=Math.PI/180;r.toRadian=function(t){return t*n},r.equals=function(t,a){return Math.abs(t-a)<=r.EPSILON*Math.max(1,Math.abs(t),Math.abs(a))},Math.hypot||(Math.hypot=function(){for(var t=0,a=arguments.length;a--;)t+=arguments[a]*arguments[a];return Math.sqrt(t)})},\n",
+       "      \"7c0b8e6048\": function _(t,n,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function u(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1],f=r[2],s=r[3];return t[0]=a*c+e*i,t[1]=u*c+o*i,t[2]=a*f+e*s,t[3]=u*f+o*s,t}function e(t,n,r){return t[0]=n[0]-r[0],t[1]=n[1]-r[1],t[2]=n[2]-r[2],t[3]=n[3]-r[3],t}r.create=function(){var t=new a.ARRAY_TYPE(4);return a.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},r.clone=function(t){var n=new a.ARRAY_TYPE(4);return n[0]=t[0],n[1]=t[1],n[2]=t[2],n[3]=t[3],n},r.copy=function(t,n){return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t},r.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t},r.fromValues=function(t,n,r,u){var e=new a.ARRAY_TYPE(4);return e[0]=t,e[1]=n,e[2]=r,e[3]=u,e},r.set=function(t,n,r,a,u){return t[0]=n,t[1]=r,t[2]=a,t[3]=u,t},r.transpose=function(t,n){if(t===n){var r=n[1];t[1]=n[2],t[2]=r}else t[0]=n[0],t[1]=n[2],t[2]=n[1],t[3]=n[3];return t},r.invert=function(t,n){var r=n[0],a=n[1],u=n[2],e=n[3],o=r*e-u*a;return o?(o=1/o,t[0]=e*o,t[1]=-a*o,t[2]=-u*o,t[3]=r*o,t):null},r.adjoint=function(t,n){var r=n[0];return t[0]=n[3],t[1]=-n[1],t[2]=-n[2],t[3]=r,t},r.determinant=function(t){return t[0]*t[3]-t[2]*t[1]},r.multiply=u,r.rotate=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=Math.sin(r),i=Math.cos(r);return t[0]=a*i+e*c,t[1]=u*i+o*c,t[2]=a*-c+e*i,t[3]=u*-c+o*i,t},r.scale=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1];return t[0]=a*c,t[1]=u*c,t[2]=e*i,t[3]=o*i,t},r.fromRotation=function(t,n){var r=Math.sin(n),a=Math.cos(n);return t[0]=a,t[1]=r,t[2]=-r,t[3]=a,t},r.fromScaling=function(t,n){return t[0]=n[0],t[1]=0,t[2]=0,t[3]=n[1],t},r.str=function(t){return\"mat2(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\")\"},r.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3])},r.LDU=function(t,n,r,a){return t[2]=a[2]/a[0],r[0]=a[0],r[1]=a[1],r[3]=a[3]-t[2]*r[1],[t,n,r]},r.add=function(t,n,r){return t[0]=n[0]+r[0],t[1]=n[1]+r[1],t[2]=n[2]+r[2],t[3]=n[3]+r[3],t},r.subtract=e,r.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]&&t[3]===n[3]},r.equals=function(t,n){var r=t[0],u=t[1],e=t[2],o=t[3],c=n[0],i=n[1],f=n[2],s=n[3];return Math.abs(r-c)<=a.EPSILON*Math.max(1,Math.abs(r),Math.abs(c))&&Math.abs(u-i)<=a.EPSILON*Math.max(1,Math.abs(u),Math.abs(i))&&Math.abs(e-f)<=a.EPSILON*Math.max(1,Math.abs(e),Math.abs(f))&&Math.abs(o-s)<=a.EPSILON*Math.max(1,Math.abs(o),Math.abs(s))},r.multiplyScalar=function(t,n,r){return t[0]=n[0]*r,t[1]=n[1]*r,t[2]=n[2]*r,t[3]=n[3]*r,t},r.multiplyScalarAndAdd=function(t,n,r,a){return t[0]=n[0]+r[0]*a,t[1]=n[1]+r[1]*a,t[2]=n[2]+r[2]*a,t[3]=n[3]+r[3]*a,t},r.mul=u,r.sub=e},\n",
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+       "      \"0285c50a7e\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function u(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1],l=n[2],m=n[3],v=n[4],E=n[5],P=n[6],S=n[7],d=n[8];return t[0]=f*r+b*e+l*s,t[1]=f*u+b*i+l*M,t[2]=f*o+b*c+l*h,t[3]=m*r+v*e+E*s,t[4]=m*u+v*i+E*M,t[5]=m*o+v*c+E*h,t[6]=P*r+S*e+d*s,t[7]=P*u+S*i+d*M,t[8]=P*o+S*c+d*h,t}function o(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t}n.create=function(){var t=new r.ARRAY_TYPE(9);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},n.fromMat4=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[4],t[4]=a[5],t[5]=a[6],t[6]=a[8],t[7]=a[9],t[8]=a[10],t},n.clone=function(t){var a=new r.ARRAY_TYPE(9);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromValues=function(t,a,n,u,o,e,i,c,s){var M=new r.ARRAY_TYPE(9);return M[0]=t,M[1]=a,M[2]=n,M[3]=u,M[4]=o,M[5]=e,M[6]=i,M[7]=c,M[8]=s,M},n.set=function(t,a,n,r,u,o,e,i,c,s){return t[0]=a,t[1]=n,t[2]=r,t[3]=u,t[4]=o,t[5]=e,t[6]=i,t[7]=c,t[8]=s,t},n.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],u=a[5];t[1]=a[3],t[2]=a[6],t[3]=n,t[5]=a[7],t[6]=r,t[7]=u}else t[0]=a[0],t[1]=a[3],t[2]=a[6],t[3]=a[1],t[4]=a[4],t[5]=a[7],t[6]=a[2],t[7]=a[5],t[8]=a[8];return t},n.invert=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=M*e-i*s,f=-M*o+i*c,b=s*o-e*c,l=n*h+r*f+u*b;return l?(l=1/l,t[0]=h*l,t[1]=(-M*r+u*s)*l,t[2]=(i*r-u*e)*l,t[3]=f*l,t[4]=(M*n-u*c)*l,t[5]=(-i*n+u*o)*l,t[6]=b*l,t[7]=(-s*n+r*c)*l,t[8]=(e*n-r*o)*l,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8];return t[0]=e*M-i*s,t[1]=u*s-r*M,t[2]=r*i-u*e,t[3]=i*c-o*M,t[4]=n*M-u*c,t[5]=u*o-n*i,t[6]=o*s-e*c,t[7]=r*c-n*s,t[8]=n*e-r*o,t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],u=t[3],o=t[4],e=t[5],i=t[6],c=t[7],s=t[8];return a*(s*o-e*c)+n*(-s*u+e*i)+r*(c*u-o*i)},n.multiply=u,n.translate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1];return t[0]=r,t[1]=u,t[2]=o,t[3]=e,t[4]=i,t[5]=c,t[6]=f*r+b*e+s,t[7]=f*u+b*i+M,t[8]=f*o+b*c+h,t},n.rotate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=Math.sin(n),b=Math.cos(n);return t[0]=b*r+f*e,t[1]=b*u+f*i,t[2]=b*o+f*c,t[3]=b*e-f*r,t[4]=b*i-f*u,t[5]=b*c-f*o,t[6]=s,t[7]=M,t[8]=h,t},n.scale=function(t,a,n){var r=n[0],u=n[1];return t[0]=r*a[0],t[1]=r*a[1],t[2]=r*a[2],t[3]=u*a[3],t[4]=u*a[4],t[5]=u*a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=a[0],t[7]=a[1],t[8]=1,t},n.fromRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=-n,t[4]=r,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=a[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromMat2d=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=0,t[3]=a[2],t[4]=a[3],t[5]=0,t[6]=a[4],t[7]=a[5],t[8]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=n+n,i=r+r,c=u+u,s=n*e,M=r*e,h=r*i,f=u*e,b=u*i,l=u*c,m=o*e,v=o*i,E=o*c;return t[0]=1-h-l,t[3]=M-E,t[6]=f+v,t[1]=M+E,t[4]=1-s-l,t[7]=b-m,t[2]=f-v,t[5]=b+m,t[8]=1-s-h,t},n.normalFromMat4=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],E=a[15],P=n*i-r*e,S=n*c-u*e,d=n*s-o*e,A=r*c-u*i,x=r*s-o*i,O=u*s-o*c,p=M*m-h*l,I=M*v-f*l,L=M*E-b*l,N=h*v-f*m,R=h*E-b*m,_=f*E-b*v,y=P*_-S*R+d*N+A*L-x*I+O*p;return y?(y=1/y,t[0]=(i*_-c*R+s*N)*y,t[1]=(c*L-e*_-s*I)*y,t[2]=(e*R-i*L+s*p)*y,t[3]=(u*R-r*_-o*N)*y,t[4]=(n*_-u*L+o*I)*y,t[5]=(r*L-n*R-o*p)*y,t[6]=(m*O-v*x+E*A)*y,t[7]=(v*d-l*O-E*S)*y,t[8]=(l*x-m*d+E*P)*y,t):null},n.projection=function(t,a,n){return t[0]=2/a,t[1]=0,t[2]=0,t[3]=0,t[4]=-2/n,t[5]=0,t[6]=-1,t[7]=1,t[8]=1,t},n.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t},n.subtract=o,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]},n.equals=function(t,a){var n=t[0],u=t[1],o=t[2],e=t[3],i=t[4],c=t[5],s=t[6],M=t[7],h=t[8],f=a[0],b=a[1],l=a[2],m=a[3],v=a[4],E=a[5],P=a[6],S=a[7],d=a[8];return Math.abs(n-f)<=r.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(u-b)<=r.EPSILON*Math.max(1,Math.abs(u),Math.abs(b))&&Math.abs(o-l)<=r.EPSILON*Math.max(1,Math.abs(o),Math.abs(l))&&Math.abs(e-m)<=r.EPSILON*Math.max(1,Math.abs(e),Math.abs(m))&&Math.abs(i-v)<=r.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(c-E)<=r.EPSILON*Math.max(1,Math.abs(c),Math.abs(E))&&Math.abs(s-P)<=r.EPSILON*Math.max(1,Math.abs(s),Math.abs(P))&&Math.abs(M-S)<=r.EPSILON*Math.max(1,Math.abs(M),Math.abs(S))&&Math.abs(h-d)<=r.EPSILON*Math.max(1,Math.abs(h),Math.abs(d))},n.mul=u,n.sub=o},\n",
+       "      \"a427635f32\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function h(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function o(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],v=a[12],m=a[13],P=a[14],E=a[15],S=n[0],I=n[1],O=n[2],p=n[3];return t[0]=S*r+I*M+O*c+p*v,t[1]=S*h+I*e+O*f+p*m,t[2]=S*o+I*s+O*b+p*P,t[3]=S*u+I*i+O*l+p*E,S=n[4],I=n[5],O=n[6],p=n[7],t[4]=S*r+I*M+O*c+p*v,t[5]=S*h+I*e+O*f+p*m,t[6]=S*o+I*s+O*b+p*P,t[7]=S*u+I*i+O*l+p*E,S=n[8],I=n[9],O=n[10],p=n[11],t[8]=S*r+I*M+O*c+p*v,t[9]=S*h+I*e+O*f+p*m,t[10]=S*o+I*s+O*b+p*P,t[11]=S*u+I*i+O*l+p*E,S=n[12],I=n[13],O=n[14],p=n[15],t[12]=S*r+I*M+O*c+p*v,t[13]=S*h+I*e+O*f+p*m,t[14]=S*o+I*s+O*b+p*P,t[15]=S*u+I*i+O*l+p*E,t}function u(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=r+r,e=h+h,s=o+o,i=r*M,c=r*e,f=r*s,b=h*e,l=h*s,v=o*s,m=u*M,P=u*e,E=u*s;return t[0]=1-(b+v),t[1]=c+E,t[2]=f-P,t[3]=0,t[4]=c-E,t[5]=1-(i+v),t[6]=l+m,t[7]=0,t[8]=f+P,t[9]=l-m,t[10]=1-(i+b),t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t}function M(t,a){var n=a[0],r=a[1],h=a[2],o=a[4],u=a[5],M=a[6],e=a[8],s=a[9],i=a[10];return t[0]=Math.hypot(n,r,h),t[1]=Math.hypot(o,u,M),t[2]=Math.hypot(e,s,i),t}function e(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t[9]=a[9]-n[9],t[10]=a[10]-n[10],t[11]=a[11]-n[11],t[12]=a[12]-n[12],t[13]=a[13]-n[13],t[14]=a[14]-n[14],t[15]=a[15]-n[15],t}n.create=function(){var t=new r.ARRAY_TYPE(16);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},n.clone=function(t){var a=new r.ARRAY_TYPE(16);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a[9]=t[9],a[10]=t[10],a[11]=t[11],a[12]=t[12],a[13]=t[13],a[14]=t[14],a[15]=t[15],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.fromValues=function(t,a,n,h,o,u,M,e,s,i,c,f,b,l,v,m){var P=new r.ARRAY_TYPE(16);return P[0]=t,P[1]=a,P[2]=n,P[3]=h,P[4]=o,P[5]=u,P[6]=M,P[7]=e,P[8]=s,P[9]=i,P[10]=c,P[11]=f,P[12]=b,P[13]=l,P[14]=v,P[15]=m,P},n.set=function(t,a,n,r,h,o,u,M,e,s,i,c,f,b,l,v,m){return t[0]=a,t[1]=n,t[2]=r,t[3]=h,t[4]=o,t[5]=u,t[6]=M,t[7]=e,t[8]=s,t[9]=i,t[10]=c,t[11]=f,t[12]=b,t[13]=l,t[14]=v,t[15]=m,t},n.identity=h,n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],h=a[3],o=a[6],u=a[7],M=a[11];t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=n,t[6]=a[9],t[7]=a[13],t[8]=r,t[9]=o,t[11]=a[14],t[12]=h,t[13]=u,t[14]=M}else t[0]=a[0],t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=a[1],t[5]=a[5],t[6]=a[9],t[7]=a[13],t[8]=a[2],t[9]=a[6],t[10]=a[10],t[11]=a[14],t[12]=a[3],t[13]=a[7],t[14]=a[11],t[15]=a[15];return t},n.invert=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15],E=n*M-r*u,S=n*e-h*u,I=n*s-o*u,O=r*e-h*M,p=r*s-o*M,L=h*s-o*e,N=i*v-c*l,R=i*m-f*l,x=i*P-b*l,y=c*m-f*v,A=c*P-b*v,Y=f*P-b*m,d=E*Y-S*A+I*y+O*x-p*R+L*N;return d?(d=1/d,t[0]=(M*Y-e*A+s*y)*d,t[1]=(h*A-r*Y-o*y)*d,t[2]=(v*L-m*p+P*O)*d,t[3]=(f*p-c*L-b*O)*d,t[4]=(e*x-u*Y-s*R)*d,t[5]=(n*Y-h*x+o*R)*d,t[6]=(m*I-l*L-P*S)*d,t[7]=(i*L-f*I+b*S)*d,t[8]=(u*A-M*x+s*N)*d,t[9]=(r*x-n*A-o*N)*d,t[10]=(l*p-v*I+P*E)*d,t[11]=(c*I-i*p-b*E)*d,t[12]=(M*R-u*y-e*N)*d,t[13]=(n*y-r*R+h*N)*d,t[14]=(v*S-l*O-m*E)*d,t[15]=(i*O-c*S+f*E)*d,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15];return t[0]=M*(f*P-b*m)-c*(e*P-s*m)+v*(e*b-s*f),t[1]=-(r*(f*P-b*m)-c*(h*P-o*m)+v*(h*b-o*f)),t[2]=r*(e*P-s*m)-M*(h*P-o*m)+v*(h*s-o*e),t[3]=-(r*(e*b-s*f)-M*(h*b-o*f)+c*(h*s-o*e)),t[4]=-(u*(f*P-b*m)-i*(e*P-s*m)+l*(e*b-s*f)),t[5]=n*(f*P-b*m)-i*(h*P-o*m)+l*(h*b-o*f),t[6]=-(n*(e*P-s*m)-u*(h*P-o*m)+l*(h*s-o*e)),t[7]=n*(e*b-s*f)-u*(h*b-o*f)+i*(h*s-o*e),t[8]=u*(c*P-b*v)-i*(M*P-s*v)+l*(M*b-s*c),t[9]=-(n*(c*P-b*v)-i*(r*P-o*v)+l*(r*b-o*c)),t[10]=n*(M*P-s*v)-u*(r*P-o*v)+l*(r*s-o*M),t[11]=-(n*(M*b-s*c)-u*(r*b-o*c)+i*(r*s-o*M)),t[12]=-(u*(c*m-f*v)-i*(M*m-e*v)+l*(M*f-e*c)),t[13]=n*(c*m-f*v)-i*(r*m-h*v)+l*(r*f-h*c),t[14]=-(n*(M*m-e*v)-u*(r*m-h*v)+l*(r*e-h*M)),t[15]=n*(M*f-e*c)-u*(r*f-h*c)+i*(r*e-h*M),t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],h=t[3],o=t[4],u=t[5],M=t[6],e=t[7],s=t[8],i=t[9],c=t[10],f=t[11],b=t[12],l=t[13],v=t[14],m=t[15];return(a*u-n*o)*(c*m-f*v)-(a*M-r*o)*(i*m-f*l)+(a*e-h*o)*(i*v-c*l)+(n*M-r*u)*(s*m-f*b)-(n*e-h*u)*(s*v-c*b)+(r*e-h*M)*(s*l-i*b)},n.multiply=o,n.translate=function(t,a,n){var r,h,o,u,M,e,s,i,c,f,b,l,v=n[0],m=n[1],P=n[2];return a===t?(t[12]=a[0]*v+a[4]*m+a[8]*P+a[12],t[13]=a[1]*v+a[5]*m+a[9]*P+a[13],t[14]=a[2]*v+a[6]*m+a[10]*P+a[14],t[15]=a[3]*v+a[7]*m+a[11]*P+a[15]):(r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],t[0]=r,t[1]=h,t[2]=o,t[3]=u,t[4]=M,t[5]=e,t[6]=s,t[7]=i,t[8]=c,t[9]=f,t[10]=b,t[11]=l,t[12]=r*v+M*m+c*P+a[12],t[13]=h*v+e*m+f*P+a[13],t[14]=o*v+s*m+b*P+a[14],t[15]=u*v+i*m+l*P+a[15]),t},n.scale=function(t,a,n){var r=n[0],h=n[1],o=n[2];return t[0]=a[0]*r,t[1]=a[1]*r,t[2]=a[2]*r,t[3]=a[3]*r,t[4]=a[4]*h,t[5]=a[5]*h,t[6]=a[6]*h,t[7]=a[7]*h,t[8]=a[8]*o,t[9]=a[9]*o,t[10]=a[10]*o,t[11]=a[11]*o,t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.rotate=function(t,a,n,h){var o,u,M,e,s,i,c,f,b,l,v,m,P,E,S,I,O,p,L,N,R,x,y,A,Y=h[0],d=h[1],g=h[2],T=Math.hypot(Y,d,g);return T<r.EPSILON?null:(Y*=T=1/T,d*=T,g*=T,o=Math.sin(n),M=1-(u=Math.cos(n)),e=a[0],s=a[1],i=a[2],c=a[3],f=a[4],b=a[5],l=a[6],v=a[7],m=a[8],P=a[9],E=a[10],S=a[11],I=Y*Y*M+u,O=d*Y*M+g*o,p=g*Y*M-d*o,L=Y*d*M-g*o,N=d*d*M+u,R=g*d*M+Y*o,x=Y*g*M+d*o,y=d*g*M-Y*o,A=g*g*M+u,t[0]=e*I+f*O+m*p,t[1]=s*I+b*O+P*p,t[2]=i*I+l*O+E*p,t[3]=c*I+v*O+S*p,t[4]=e*L+f*N+m*R,t[5]=s*L+b*N+P*R,t[6]=i*L+l*N+E*R,t[7]=c*L+v*N+S*R,t[8]=e*x+f*y+m*A,t[9]=s*x+b*y+P*A,t[10]=i*x+l*y+E*A,t[11]=c*x+v*y+S*A,a!==t&&(t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t)},n.rotateX=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[4],u=a[5],M=a[6],e=a[7],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[4]=o*h+s*r,t[5]=u*h+i*r,t[6]=M*h+c*r,t[7]=e*h+f*r,t[8]=s*h-o*r,t[9]=i*h-u*r,t[10]=c*h-M*r,t[11]=f*h-e*r,t},n.rotateY=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h-s*r,t[1]=u*h-i*r,t[2]=M*h-c*r,t[3]=e*h-f*r,t[8]=o*r+s*h,t[9]=u*r+i*h,t[10]=M*r+c*h,t[11]=e*r+f*h,t},n.rotateZ=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7];return a!==t&&(t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h+s*r,t[1]=u*h+i*r,t[2]=M*h+c*r,t[3]=e*h+f*r,t[4]=s*h-o*r,t[5]=i*h-u*r,t[6]=c*h-M*r,t[7]=f*h-e*r,t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=a[0],t[13]=a[1],t[14]=a[2],t[15]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=a[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotation=function(t,a,n){var h,o,u,M=n[0],e=n[1],s=n[2],i=Math.hypot(M,e,s);return i<r.EPSILON?null:(M*=i=1/i,e*=i,s*=i,h=Math.sin(a),u=1-(o=Math.cos(a)),t[0]=M*M*u+o,t[1]=e*M*u+s*h,t[2]=s*M*u-e*h,t[3]=0,t[4]=M*e*u-s*h,t[5]=e*e*u+o,t[6]=s*e*u+M*h,t[7]=0,t[8]=M*s*u+e*h,t[9]=e*s*u-M*h,t[10]=s*s*u+o,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},n.fromXRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=r,t[6]=n,t[7]=0,t[8]=0,t[9]=-n,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromYRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=0,t[2]=-n,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=n,t[9]=0,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromZRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=0,t[4]=-n,t[5]=r,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotationTranslation=u,n.fromQuat2=function(t,a){var n=new r.ARRAY_TYPE(3),h=-a[0],o=-a[1],M=-a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7],b=h*h+o*o+M*M+e*e;return b>0?(n[0]=2*(s*e+f*h+i*M-c*o)/b,n[1]=2*(i*e+f*o+c*h-s*M)/b,n[2]=2*(c*e+f*M+s*o-i*h)/b):(n[0]=2*(s*e+f*h+i*M-c*o),n[1]=2*(i*e+f*o+c*h-s*M),n[2]=2*(c*e+f*M+s*o-i*h)),u(t,a,n),t},n.getTranslation=function(t,a){return t[0]=a[12],t[1]=a[13],t[2]=a[14],t},n.getScaling=M,n.getRotation=function(t,a){var n=new r.ARRAY_TYPE(3);M(n,a);var h=1/n[0],o=1/n[1],u=1/n[2],e=a[0]*h,s=a[1]*o,i=a[2]*u,c=a[4]*h,f=a[5]*o,b=a[6]*u,l=a[8]*h,v=a[9]*o,m=a[10]*u,P=e+f+m,E=0;return P>0?(E=2*Math.sqrt(P+1),t[3]=.25*E,t[0]=(b-v)/E,t[1]=(l-i)/E,t[2]=(s-c)/E):e>f&&e>m?(E=2*Math.sqrt(1+e-f-m),t[3]=(b-v)/E,t[0]=.25*E,t[1]=(s+c)/E,t[2]=(l+i)/E):f>m?(E=2*Math.sqrt(1+f-e-m),t[3]=(l-i)/E,t[0]=(s+c)/E,t[1]=.25*E,t[2]=(b+v)/E):(E=2*Math.sqrt(1+m-e-f),t[3]=(s-c)/E,t[0]=(l+i)/E,t[1]=(b+v)/E,t[2]=.25*E),t},n.fromRotationTranslationScale=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=a[3],e=h+h,s=o+o,i=u+u,c=h*e,f=h*s,b=h*i,l=o*s,v=o*i,m=u*i,P=M*e,E=M*s,S=M*i,I=r[0],O=r[1],p=r[2];return t[0]=(1-(l+m))*I,t[1]=(f+S)*I,t[2]=(b-E)*I,t[3]=0,t[4]=(f-S)*O,t[5]=(1-(c+m))*O,t[6]=(v+P)*O,t[7]=0,t[8]=(b+E)*p,t[9]=(v-P)*p,t[10]=(1-(c+l))*p,t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t},n.fromRotationTranslationScaleOrigin=function(t,a,n,r,h){var o=a[0],u=a[1],M=a[2],e=a[3],s=o+o,i=u+u,c=M+M,f=o*s,b=o*i,l=o*c,v=u*i,m=u*c,P=M*c,E=e*s,S=e*i,I=e*c,O=r[0],p=r[1],L=r[2],N=h[0],R=h[1],x=h[2],y=(1-(v+P))*O,A=(b+I)*O,Y=(l-S)*O,d=(b-I)*p,g=(1-(f+P))*p,T=(m+E)*p,_=(l+S)*L,q=(m-E)*L,w=(1-(f+v))*L;return t[0]=y,t[1]=A,t[2]=Y,t[3]=0,t[4]=d,t[5]=g,t[6]=T,t[7]=0,t[8]=_,t[9]=q,t[10]=w,t[11]=0,t[12]=n[0]+N-(y*N+d*R+_*x),t[13]=n[1]+R-(A*N+g*R+q*x),t[14]=n[2]+x-(Y*N+T*R+w*x),t[15]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=n+n,M=r+r,e=h+h,s=n*u,i=r*u,c=r*M,f=h*u,b=h*M,l=h*e,v=o*u,m=o*M,P=o*e;return t[0]=1-c-l,t[1]=i+P,t[2]=f-m,t[3]=0,t[4]=i-P,t[5]=1-s-l,t[6]=b+v,t[7]=0,t[8]=f+m,t[9]=b-v,t[10]=1-s-c,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.frustum=function(t,a,n,r,h,o,u){var M=1/(n-a),e=1/(h-r),s=1/(o-u);return t[0]=2*o*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*o*e,t[6]=0,t[7]=0,t[8]=(n+a)*M,t[9]=(h+r)*e,t[10]=(u+o)*s,t[11]=-1,t[12]=0,t[13]=0,t[14]=u*o*2*s,t[15]=0,t},n.perspective=function(t,a,n,r,h){var o,u=1/Math.tan(a/2);return t[0]=u/n,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=h&&h!==1/0?(o=1/(r-h),t[10]=(h+r)*o,t[14]=2*h*r*o):(t[10]=-1,t[14]=-2*r),t},n.perspectiveFromFieldOfView=function(t,a,n,r){var h=Math.tan(a.upDegrees*Math.PI/180),o=Math.tan(a.downDegrees*Math.PI/180),u=Math.tan(a.leftDegrees*Math.PI/180),M=Math.tan(a.rightDegrees*Math.PI/180),e=2/(u+M),s=2/(h+o);return t[0]=e,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=s,t[6]=0,t[7]=0,t[8]=-(u-M)*e*.5,t[9]=(h-o)*s*.5,t[10]=r/(n-r),t[11]=-1,t[12]=0,t[13]=0,t[14]=r*n/(n-r),t[15]=0,t},n.ortho=function(t,a,n,r,h,o,u){var M=1/(a-n),e=1/(r-h),s=1/(o-u);return t[0]=-2*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*e,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*s,t[11]=0,t[12]=(a+n)*M,t[13]=(h+r)*e,t[14]=(u+o)*s,t[15]=1,t},n.lookAt=function(t,a,n,o){var u,M,e,s,i,c,f,b,l,v,m=a[0],P=a[1],E=a[2],S=o[0],I=o[1],O=o[2],p=n[0],L=n[1],N=n[2];return Math.abs(m-p)<r.EPSILON&&Math.abs(P-L)<r.EPSILON&&Math.abs(E-N)<r.EPSILON?h(t):(f=m-p,b=P-L,l=E-N,u=I*(l*=v=1/Math.hypot(f,b,l))-O*(b*=v),M=O*(f*=v)-S*l,e=S*b-I*f,(v=Math.hypot(u,M,e))?(u*=v=1/v,M*=v,e*=v):(u=0,M=0,e=0),s=b*e-l*M,i=l*u-f*e,c=f*M-b*u,(v=Math.hypot(s,i,c))?(s*=v=1/v,i*=v,c*=v):(s=0,i=0,c=0),t[0]=u,t[1]=s,t[2]=f,t[3]=0,t[4]=M,t[5]=i,t[6]=b,t[7]=0,t[8]=e,t[9]=c,t[10]=l,t[11]=0,t[12]=-(u*m+M*P+e*E),t[13]=-(s*m+i*P+c*E),t[14]=-(f*m+b*P+l*E),t[15]=1,t)},n.targetTo=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=r[0],e=r[1],s=r[2],i=h-n[0],c=o-n[1],f=u-n[2],b=i*i+c*c+f*f;b>0&&(i*=b=1/Math.sqrt(b),c*=b,f*=b);var l=e*f-s*c,v=s*i-M*f,m=M*c-e*i;return(b=l*l+v*v+m*m)>0&&(l*=b=1/Math.sqrt(b),v*=b,m*=b),t[0]=l,t[1]=v,t[2]=m,t[3]=0,t[4]=c*m-f*v,t[5]=f*l-i*m,t[6]=i*v-c*l,t[7]=0,t[8]=i,t[9]=c,t[10]=f,t[11]=0,t[12]=h,t[13]=o,t[14]=u,t[15]=1,t},n.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8],t[9],t[10],t[11],t[12],t[13],t[14],t[15])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t[9]=a[9]+n[9],t[10]=a[10]+n[10],t[11]=a[11]+n[11],t[12]=a[12]+n[12],t[13]=a[13]+n[13],t[14]=a[14]+n[14],t[15]=a[15]+n[15],t},n.subtract=e,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t[9]=a[9]*n,t[10]=a[10]*n,t[11]=a[11]*n,t[12]=a[12]*n,t[13]=a[13]*n,t[14]=a[14]*n,t[15]=a[15]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t[9]=a[9]+n[9]*r,t[10]=a[10]+n[10]*r,t[11]=a[11]+n[11]*r,t[12]=a[12]+n[12]*r,t[13]=a[13]+n[13]*r,t[14]=a[14]+n[14]*r,t[15]=a[15]+n[15]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]&&t[9]===a[9]&&t[10]===a[10]&&t[11]===a[11]&&t[12]===a[12]&&t[13]===a[13]&&t[14]===a[14]&&t[15]===a[15]},n.equals=function(t,a){var n=t[0],h=t[1],o=t[2],u=t[3],M=t[4],e=t[5],s=t[6],i=t[7],c=t[8],f=t[9],b=t[10],l=t[11],v=t[12],m=t[13],P=t[14],E=t[15],S=a[0],I=a[1],O=a[2],p=a[3],L=a[4],N=a[5],R=a[6],x=a[7],y=a[8],A=a[9],Y=a[10],d=a[11],g=a[12],T=a[13],_=a[14],q=a[15];return 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+       "      \"eb06fc032a\": function _(t,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});const n=t(\"tslib\"),e=n.__importStar(t(\"68ca94c15c\")),o=n.__importStar(t(\"0285c50a7e\")),s=n.__importStar(t(\"2c5eb22089\")),u=n.__importStar(t(\"c1aa33d719\"));function c(){var t=new e.ARRAY_TYPE(4);return e.ARRAY_TYPE!=Float32Array&&(t[0]=0,t[1]=0,t[2]=0),t[3]=1,t}function i(t,r,a){a*=.5;var n=Math.sin(a);return t[0]=n*r[0],t[1]=n*r[1],t[2]=n*r[2],t[3]=Math.cos(a),t}function h(t,r,a){var n=r[0],e=r[1],o=r[2],s=r[3],u=a[0],c=a[1],i=a[2],h=a[3];return t[0]=n*h+s*u+e*i-o*c,t[1]=e*h+s*c+o*u-n*i,t[2]=o*h+s*i+n*c-e*u,t[3]=s*h-n*u-e*c-o*i,t}function M(t,r){var a=r[0],n=r[1],e=r[2],o=r[3],s=Math.sqrt(a*a+n*n+e*e),u=Math.exp(o),c=s>0?u*Math.sin(s)/s:0;return t[0]=a*c,t[1]=n*c,t[2]=e*c,t[3]=u*Math.cos(s),t}function l(t,r){var a=r[0],n=r[1],e=r[2],o=r[3],s=Math.sqrt(a*a+n*n+e*e),u=s>0?Math.atan2(s,o)/s:0;return t[0]=a*u,t[1]=n*u,t[2]=e*u,t[3]=.5*Math.log(a*a+n*n+e*e+o*o),t}function f(t,r,a,n){var o,s,u,c,i,h=r[0],M=r[1],l=r[2],f=r[3],v=a[0],m=a[1],q=a[2],d=a[3];return(s=h*v+M*m+l*q+f*d)<0&&(s=-s,v=-v,m=-m,q=-q,d=-d),1-s>e.EPSILON?(o=Math.acos(s),u=Math.sin(o),c=Math.sin((1-n)*o)/u,i=Math.sin(n*o)/u):(c=1-n,i=n),t[0]=c*h+i*v,t[1]=c*M+i*m,t[2]=c*l+i*q,t[3]=c*f+i*d,t}function v(t,r){var a,n=r[0]+r[4]+r[8];if(n>0)a=Math.sqrt(n+1),t[3]=.5*a,a=.5/a,t[0]=(r[5]-r[7])*a,t[1]=(r[6]-r[2])*a,t[2]=(r[1]-r[3])*a;else{var e=0;r[4]>r[0]&&(e=1),r[8]>r[3*e+e]&&(e=2);var o=(e+1)%3,s=(e+2)%3;a=Math.sqrt(r[3*e+e]-r[3*o+o]-r[3*s+s]+1),t[e]=.5*a,a=.5/a,t[3]=(r[3*o+s]-r[3*s+o])*a,t[o]=(r[3*o+e]+r[3*e+o])*a,t[s]=(r[3*s+e]+r[3*e+s])*a}return t}var m,q,d,p,A,g;a.create=c,a.identity=function(t){return t[0]=0,t[1]=0,t[2]=0,t[3]=1,t},a.setAxisAngle=i,a.getAxisAngle=function(t,r){var a=2*Math.acos(r[3]),n=Math.sin(a/2);return n>e.EPSILON?(t[0]=r[0]/n,t[1]=r[1]/n,t[2]=r[2]/n):(t[0]=1,t[1]=0,t[2]=0),a},a.getAngle=function(t,r){var n=a.dot(t,r);return Math.acos(2*n*n-1)},a.multiply=h,a.rotateX=function(t,r,a){a*=.5;var n=r[0],e=r[1],o=r[2],s=r[3],u=Math.sin(a),c=Math.cos(a);return t[0]=n*c+s*u,t[1]=e*c+o*u,t[2]=o*c-e*u,t[3]=s*c-n*u,t},a.rotateY=function(t,r,a){a*=.5;var n=r[0],e=r[1],o=r[2],s=r[3],u=Math.sin(a),c=Math.cos(a);return t[0]=n*c-o*u,t[1]=e*c+s*u,t[2]=o*c+n*u,t[3]=s*c-e*u,t},a.rotateZ=function(t,r,a){a*=.5;var n=r[0],e=r[1],o=r[2],s=r[3],u=Math.sin(a),c=Math.cos(a);return t[0]=n*c+e*u,t[1]=e*c-n*u,t[2]=o*c+s*u,t[3]=s*c-o*u,t},a.calculateW=function(t,r){var a=r[0],n=r[1],e=r[2];return t[0]=a,t[1]=n,t[2]=e,t[3]=Math.sqrt(Math.abs(1-a*a-n*n-e*e)),t},a.exp=M,a.ln=l,a.pow=function(t,r,n){return l(t,r),a.scale(t,t,n),M(t,t),t},a.slerp=f,a.random=function(t){var r=e.RANDOM(),a=e.RANDOM(),n=e.RANDOM(),o=Math.sqrt(1-r),s=Math.sqrt(r);return t[0]=o*Math.sin(2*Math.PI*a),t[1]=o*Math.cos(2*Math.PI*a),t[2]=s*Math.sin(2*Math.PI*n),t[3]=s*Math.cos(2*Math.PI*n),t},a.invert=function(t,r){var a=r[0],n=r[1],e=r[2],o=r[3],s=a*a+n*n+e*e+o*o,u=s?1/s:0;return t[0]=-a*u,t[1]=-n*u,t[2]=-e*u,t[3]=o*u,t},a.conjugate=function(t,r){return t[0]=-r[0],t[1]=-r[1],t[2]=-r[2],t[3]=r[3],t},a.fromMat3=v,a.fromEuler=function(t,r,a,n){var e=.5*Math.PI/180;r*=e,a*=e,n*=e;var o=Math.sin(r),s=Math.cos(r),u=Math.sin(a),c=Math.cos(a),i=Math.sin(n),h=Math.cos(n);return t[0]=o*c*h-s*u*i,t[1]=s*u*h+o*c*i,t[2]=s*c*i-o*u*h,t[3]=s*c*h+o*u*i,t},a.str=function(t){return\"quat(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\")\"},a.clone=u.clone,a.fromValues=u.fromValues,a.copy=u.copy,a.set=u.set,a.add=u.add,a.mul=h,a.scale=u.scale,a.dot=u.dot,a.lerp=u.lerp,a.length=u.length,a.len=a.length,a.squaredLength=u.squaredLength,a.sqrLen=a.squaredLength,a.normalize=u.normalize,a.exactEquals=u.exactEquals,a.equals=u.equals,a.rotationTo=(m=s.create(),q=s.fromValues(1,0,0),d=s.fromValues(0,1,0),function(t,r,n){var e=s.dot(r,n);return e<-.999999?(s.cross(m,q,r),s.len(m)<1e-6&&s.cross(m,d,r),s.normalize(m,m),i(t,m,Math.PI),t):e>.999999?(t[0]=0,t[1]=0,t[2]=0,t[3]=1,t):(s.cross(m,r,n),t[0]=m[0],t[1]=m[1],t[2]=m[2],t[3]=1+e,a.normalize(t,t))}),a.sqlerp=(p=c(),A=c(),function(t,r,a,n,e,o){return f(p,r,e,o),f(A,a,n,o),f(t,p,A,2*o*(1-o)),t}),a.setAxes=(g=o.create(),function(t,r,n,e){return g[0]=n[0],g[3]=n[1],g[6]=n[2],g[1]=e[0],g[4]=e[1],g[7]=e[2],g[2]=-r[0],g[5]=-r[1],g[8]=-r[2],a.normalize(t,v(t,g))})},\n",
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u[0]=n[0]-r[0],u[1]=n[1]-r[1],u[2]=n[2]-r[2],e[0]=u[0],e[1]=u[1]*Math.cos(a)-u[2]*Math.sin(a),e[2]=u[1]*Math.sin(a)+u[2]*Math.cos(a),t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},r.rotateY=function(t,n,r,a){var u=[],e=[];return u[0]=n[0]-r[0],u[1]=n[1]-r[1],u[2]=n[2]-r[2],e[0]=u[2]*Math.sin(a)+u[0]*Math.cos(a),e[1]=u[1],e[2]=u[2]*Math.cos(a)-u[0]*Math.sin(a),t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},r.rotateZ=function(t,n,r,a){var u=[],e=[];return u[0]=n[0]-r[0],u[1]=n[1]-r[1],u[2]=n[2]-r[2],e[0]=u[0]*Math.cos(a)-u[1]*Math.sin(a),e[1]=u[0]*Math.sin(a)+u[1]*Math.cos(a),e[2]=u[2],t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},r.angle=function(t,n){var r=t[0],a=t[1],u=t[2],e=n[0],o=n[1],i=n[2],c=Math.sqrt(r*r+a*a+u*u)*Math.sqrt(e*e+o*o+i*i),h=c&&f(t,n)/c;return Math.acos(Math.min(Math.max(h,-1),1))},r.zero=function(t){return t[0]=0,t[1]=0,t[2]=0,t},r.str=function(t){return\"vec3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\")\"},r.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]},r.equals=function(t,n){var r=t[0],u=t[1],e=t[2],o=n[0],i=n[1],c=n[2];return Math.abs(r-o)<=a.EPSILON*Math.max(1,Math.abs(r),Math.abs(o))&&Math.abs(u-i)<=a.EPSILON*Math.max(1,Math.abs(u),Math.abs(i))&&Math.abs(e-c)<=a.EPSILON*Math.max(1,Math.abs(e),Math.abs(c))},r.sub=o,r.mul=i,r.div=c,r.dist=h,r.sqrDist=M,r.len=e,r.sqrLen=s,r.forEach=(l=u(),function(t,n,r,a,u,e){var o,i;for(n||(n=3),r||(r=0),i=a?Math.min(a*n+r,t.length):t.length,o=r;o<i;o+=n)l[0]=t[o],l[1]=t[o+1],l[2]=t[o+2],u(l,l,e),t[o]=l[0],t[o+1]=l[1],t[o+2]=l[2];return t})},\n",
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u.rotateX(t,a,n),r=t[0],e=t[1],o=t[2],i=t[3],t[4]=M*i+v*r+l*o-b*e,t[5]=l*i+v*e+b*r-M*o,t[6]=b*i+v*o+M*e-l*r,t[7]=v*i-M*r-l*e-b*o,t},n.rotateY=function(t,a,n){var r=-a[0],e=-a[1],o=-a[2],i=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*i+f*r+c*o-h*e,l=c*i+f*e+h*r-s*o,b=h*i+f*o+s*e-c*r,v=f*i-s*r-c*e-h*o;return u.rotateY(t,a,n),r=t[0],e=t[1],o=t[2],i=t[3],t[4]=M*i+v*r+l*o-b*e,t[5]=l*i+v*e+b*r-M*o,t[6]=b*i+v*o+M*e-l*r,t[7]=v*i-M*r-l*e-b*o,t},n.rotateZ=function(t,a,n){var r=-a[0],e=-a[1],o=-a[2],i=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*i+f*r+c*o-h*e,l=c*i+f*e+h*r-s*o,b=h*i+f*o+s*e-c*r,v=f*i-s*r-c*e-h*o;return u.rotateZ(t,a,n),r=t[0],e=t[1],o=t[2],i=t[3],t[4]=M*i+v*r+l*o-b*e,t[5]=l*i+v*e+b*r-M*o,t[6]=b*i+v*o+M*e-l*r,t[7]=v*i-M*r-l*e-b*o,t},n.rotateByQuatAppend=function(t,a,n){var r=n[0],e=n[1],u=n[2],o=n[3],i=a[0],s=a[1],c=a[2],h=a[3];return t[0]=i*o+h*r+s*u-c*e,t[1]=s*o+h*e+c*r-i*u,t[2]=c*o+h*u+i*e-s*r,t[3]=h*o-i*r-s*e-c*u,i=a[4],s=a[5],c=a[6],h=a[7],t[4]=i*o+h*r+s*u-c*e,t[5]=s*o+h*e+c*r-i*u,t[6]=c*o+h*u+i*e-s*r,t[7]=h*o-i*r-s*e-c*u,t},n.rotateByQuatPrepend=function(t,a,n){var r=a[0],e=a[1],u=a[2],o=a[3],i=n[0],s=n[1],c=n[2],h=n[3];return t[0]=r*h+o*i+e*c-u*s,t[1]=e*h+o*s+u*i-r*c,t[2]=u*h+o*c+r*s-e*i,t[3]=o*h-r*i-e*s-u*c,i=n[4],s=n[5],c=n[6],h=n[7],t[4]=r*h+o*i+e*c-u*s,t[5]=e*h+o*s+u*i-r*c,t[6]=u*h+o*c+r*s-e*i,t[7]=o*h-r*i-e*s-u*c,t},n.rotateAroundAxis=function(t,a,n,r){if(Math.abs(r)<e.EPSILON)return s(t,a);var u=Math.hypot(n[0],n[1],n[2]);r*=.5;var o=Math.sin(r),i=o*n[0]/u,c=o*n[1]/u,h=o*n[2]/u,f=Math.cos(r),M=a[0],l=a[1],b=a[2],v=a[3];t[0]=M*f+v*i+l*h-b*c,t[1]=l*f+v*c+b*i-M*h,t[2]=b*f+v*h+M*c-l*i,t[3]=v*f-M*i-l*c-b*h;var m=a[4],R=a[5],P=a[6],d=a[7];return t[4]=m*f+d*i+R*h-P*c,t[5]=R*f+d*c+P*i-m*h,t[6]=P*f+d*h+m*c-R*i,t[7]=d*f-m*i-R*c-P*h,t},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t},n.multiply=c,n.mul=c,n.scale=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t},n.dot=u.dot,n.lerp=function(t,a,r,e){var u=1-e;return n.dot(a,r)<0&&(e=-e),t[0]=a[0]*u+r[0]*e,t[1]=a[1]*u+r[1]*e,t[2]=a[2]*u+r[2]*e,t[3]=a[3]*u+r[3]*e,t[4]=a[4]*u+r[4]*e,t[5]=a[5]*u+r[5]*e,t[6]=a[6]*u+r[6]*e,t[7]=a[7]*u+r[7]*e,t},n.invert=function(t,a){var r=n.squaredLength(a);return t[0]=-a[0]/r,t[1]=-a[1]/r,t[2]=-a[2]/r,t[3]=a[3]/r,t[4]=-a[4]/r,t[5]=-a[5]/r,t[6]=-a[6]/r,t[7]=a[7]/r,t},n.conjugate=function(t,a){return t[0]=-a[0],t[1]=-a[1],t[2]=-a[2],t[3]=a[3],t[4]=-a[4],t[5]=-a[5],t[6]=-a[6],t[7]=a[7],t},n.length=u.length,n.len=n.length,n.squaredLength=u.squaredLength,n.sqrLen=n.squaredLength,n.normalize=function(t,a){var r=n.squaredLength(a);if(r>0){r=Math.sqrt(r);var e=a[0]/r,u=a[1]/r,o=a[2]/r,i=a[3]/r,s=a[4],c=a[5],h=a[6],f=a[7],M=e*s+u*c+o*h+i*f;t[0]=e,t[1]=u,t[2]=o,t[3]=i,t[4]=(s-e*M)/r,t[5]=(c-u*M)/r,t[6]=(h-o*M)/r,t[7]=(f-i*M)/r}return t},n.str=function(t){return\"quat2(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\")\"},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]},n.equals=function(t,a){var n=t[0],r=t[1],u=t[2],o=t[3],i=t[4],s=t[5],c=t[6],h=t[7],f=a[0],M=a[1],l=a[2],b=a[3],v=a[4],m=a[5],R=a[6],P=a[7];return 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+       "      \"c56d9ff837\": function _(n,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=n(\"tslib\").__importStar(n(\"68ca94c15c\"));function u(){var n=new a.ARRAY_TYPE(2);return a.ARRAY_TYPE!=Float32Array&&(n[0]=0,n[1]=0),n}function e(n,t,r){return n[0]=t[0]-r[0],n[1]=t[1]-r[1],n}function o(n,t,r){return n[0]=t[0]*r[0],n[1]=t[1]*r[1],n}function c(n,t,r){return n[0]=t[0]/r[0],n[1]=t[1]/r[1],n}function i(n,t){var r=t[0]-n[0],a=t[1]-n[1];return Math.hypot(r,a)}function f(n,t){var r=t[0]-n[0],a=t[1]-n[1];return r*r+a*a}function s(n){var t=n[0],r=n[1];return Math.hypot(t,r)}function h(n){var t=n[0],r=n[1];return t*t+r*r}var M;r.create=u,r.clone=function(n){var t=new a.ARRAY_TYPE(2);return t[0]=n[0],t[1]=n[1],t},r.fromValues=function(n,t){var r=new a.ARRAY_TYPE(2);return r[0]=n,r[1]=t,r},r.copy=function(n,t){return n[0]=t[0],n[1]=t[1],n},r.set=function(n,t,r){return n[0]=t,n[1]=r,n},r.add=function(n,t,r){return n[0]=t[0]+r[0],n[1]=t[1]+r[1],n},r.subtract=e,r.multiply=o,r.divide=c,r.ceil=function(n,t){return n[0]=Math.ceil(t[0]),n[1]=Math.ceil(t[1]),n},r.floor=function(n,t){return n[0]=Math.floor(t[0]),n[1]=Math.floor(t[1]),n},r.min=function(n,t,r){return n[0]=Math.min(t[0],r[0]),n[1]=Math.min(t[1],r[1]),n},r.max=function(n,t,r){return n[0]=Math.max(t[0],r[0]),n[1]=Math.max(t[1],r[1]),n},r.round=function(n,t){return n[0]=Math.round(t[0]),n[1]=Math.round(t[1]),n},r.scale=function(n,t,r){return n[0]=t[0]*r,n[1]=t[1]*r,n},r.scaleAndAdd=function(n,t,r,a){return n[0]=t[0]+r[0]*a,n[1]=t[1]+r[1]*a,n},r.distance=i,r.squaredDistance=f,r.length=s,r.squaredLength=h,r.negate=function(n,t){return n[0]=-t[0],n[1]=-t[1],n},r.inverse=function(n,t){return n[0]=1/t[0],n[1]=1/t[1],n},r.normalize=function(n,t){var r=t[0],a=t[1],u=r*r+a*a;return u>0&&(u=1/Math.sqrt(u)),n[0]=t[0]*u,n[1]=t[1]*u,n},r.dot=function(n,t){return n[0]*t[0]+n[1]*t[1]},r.cross=function(n,t,r){var a=t[0]*r[1]-t[1]*r[0];return n[0]=n[1]=0,n[2]=a,n},r.lerp=function(n,t,r,a){var u=t[0],e=t[1];return n[0]=u+a*(r[0]-u),n[1]=e+a*(r[1]-e),n},r.random=function(n,t){t=t||1;var r=2*a.RANDOM()*Math.PI;return n[0]=Math.cos(r)*t,n[1]=Math.sin(r)*t,n},r.transformMat2=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u,n[1]=r[1]*a+r[3]*u,n},r.transformMat2d=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u+r[4],n[1]=r[1]*a+r[3]*u+r[5],n},r.transformMat3=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[3]*u+r[6],n[1]=r[1]*a+r[4]*u+r[7],n},r.transformMat4=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[4]*u+r[12],n[1]=r[1]*a+r[5]*u+r[13],n},r.rotate=function(n,t,r,a){var u=t[0]-r[0],e=t[1]-r[1],o=Math.sin(a),c=Math.cos(a);return n[0]=u*c-e*o+r[0],n[1]=u*o+e*c+r[1],n},r.angle=function(n,t){var r=n[0],a=n[1],u=t[0],e=t[1],o=Math.sqrt(r*r+a*a)*Math.sqrt(u*u+e*e),c=o&&(r*u+a*e)/o;return Math.acos(Math.min(Math.max(c,-1),1))},r.zero=function(n){return n[0]=0,n[1]=0,n},r.str=function(n){return\"vec2(\"+n[0]+\", \"+n[1]+\")\"},r.exactEquals=function(n,t){return n[0]===t[0]&&n[1]===t[1]},r.equals=function(n,t){var r=n[0],u=n[1],e=t[0],o=t[1];return Math.abs(r-e)<=a.EPSILON*Math.max(1,Math.abs(r),Math.abs(e))&&Math.abs(u-o)<=a.EPSILON*Math.max(1,Math.abs(u),Math.abs(o))},r.len=s,r.sub=e,r.mul=o,r.div=c,r.dist=i,r.sqrDist=f,r.sqrLen=h,r.forEach=(M=u(),function(n,t,r,a,u,e){var o,c;for(t||(t=2),r||(r=0),c=a?Math.min(a*t+r,n.length):n.length,o=r;o<c;o+=t)M[0]=n[o],M[1]=n[o+1],u(M,M,e),n[o]=M[0],n[o+1]=M[1];return n})},\n",
+       "      }, \"4e90918c0a\", {\"index\":\"4e90918c0a\",\"models/index\":\"22ae8fda70\",\"models/ace\":\"3343056bd8\",\"models/layout\":\"7116a7a602\",\"models/audio\":\"66d52165db\",\"models/comm_manager\":\"71a9759436\",\"models/deckgl\":\"d0d2aafca0\",\"models/tooltips\":\"064eac2866\",\"models/html\":\"ed08037ce5\",\"models/json\":\"284504a0cf\",\"models/file_download\":\"61c9ac7aac\",\"models/katex\":\"7b859fb3cf\",\"models/mathjax\":\"0c21036737\",\"models/player\":\"79c41bbf71\",\"models/plotly\":\"56da045fbd\",\"models/util\":\"990b5dd5c7\",\"models/progress\":\"76307e5afa\",\"models/state\":\"38b2bc9574\",\"models/vega\":\"294adeb985\",\"models/video\":\"b0c3e9e9c2\",\"models/videostream\":\"3c7145a2fa\",\"models/vtk/index\":\"ecfbb965eb\",\"models/vtk/vtk\":\"5b5e56e89a\",\"models/vtk/vtk_layout\":\"c704c63c0a\",\"models/vtk/vtk_utils\":\"aaf560d219\",\"models/vtk/vtkvolume\":\"729dd26c71\",\"models/vtk/vtkaxes\":\"e23461e5d7\"}, {});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END panel.min.js */\n",
+       "    },\n",
+       "    function(Bokeh) {} // ensure no trailing comma for IE\n",
+       "  ];\n",
+       "\n",
+       "  function run_inline_js() {\n",
+       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
+       "      for (var i = 0; i < inline_js.length; i++) {\n",
+       "        inline_js[i].call(root, root.Bokeh);\n",
+       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
+       "      setTimeout(run_inline_js, 100);\n",
+       "    } else if (!root._bokeh_failed_load) {\n",
+       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
+       "      root._bokeh_failed_load = true;\n",
+       "    }\n",
+       "  }\n",
+       "\n",
+       "  if (root._bokeh_is_loading === 0) {\n",
+       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
+       "    run_inline_js();\n",
+       "  } else {\n",
+       "    load_libs(css_urls, js_urls, function() {\n",
+       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+       "      run_inline_js();\n",
+       "    });\n",
+       "  }\n",
+       "}(window));"
+      ],
+      "application/vnd.holoviews_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    if (window.requirejs) {\n      window.requirejs.config({'paths': {'plotly': 'https://cdn.plot.ly/plotly-latest.min'}});\n      require([\"plotly\"], function(Plotly,) {\n        window.Plotly = Plotly;\n        run_callbacks();\n      })\n    } else {\n      var skip = [];\n      if ((window['Plotly'] !== undefined) && (!(window['Plotly'] instanceof HTMLElement))) {\n        var urls = ['https://cdn.plot.ly/plotly-latest.min.js'];\n        for (var i = 0; i < urls.length; i++) {\n          skip.push(urls[i])\n        }\n      }\n      for (var i = 0; i < js_urls.length; i++) {\n        var url = js_urls[i];\n        if (skip.indexOf(url) >= 0) { on_load(); continue; }\n        var element = document.createElement('script');\n        element.onload = on_load;\n        element.onerror = on_error;\n        element.async = false;\n        element.src = url;\n        console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n        document.head.appendChild(element);\n      }\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://code.jquery.com/jquery-3.4.1.min.js\", \"https://cdn.plot.ly/plotly-latest.min.js\"];\n  var css_urls = [];\n\n  var inline_js = [\n    function(Bokeh) {\n      inject_raw_css(\"table.panel-df {\\n    margin-left: auto;\\n    margin-right: auto;\\n    border: none;\\n    border-collapse: collapse;\\n    border-spacing: 0;\\n    color: black;\\n    font-size: 12px;\\n    table-layout: fixed;\\n    width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n    text-align: right;\\n    vertical-align: middle;\\n    padding: 0.5em 0.5em !important;\\n    line-height: normal;\\n    white-space: normal;\\n    max-width: none;\\n    border: none;\\n}\\n\\n.panel-df tbody {\\n    display: table-row-group;\\n    vertical-align: middle;\\n    border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n    background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n    border-bottom: 1px solid black;\\n    vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n    background: lightblue !important;\\n    cursor: pointer;\\n}\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n  color: black;\\n  text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n  color: green;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n  color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n  color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n  color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n  color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n  background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: blue;\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n  color: #00008B;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n  color: white;\\n  text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n  color: #31F031;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n  color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n  color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n  color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n  color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n  color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n  background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: #027BFF;\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n  color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n  color: #23A0DB;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite  { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".panel-widget-box {\\n\\tmin-height: 20px;\\n\\tbackground-color: #f5f5f5;\\n\\tborder: 1px solid #e3e3e3 !important;\\n\\tborder-radius: 4px;\\n\\t-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\tbox-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\toverflow-x: hidden;\\n\\toverflow-y: hidden;\\n}\\n\\n.scrollable {\\n  overflow: scroll;\\n}\\n\\nprogress {\\n\\tappearance: none;\\n\\t-moz-appearance: none;\\n\\t-webkit-appearance: none;\\n\\n\\tborder: none;\\n\\theight: 20px;\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n\\tcolor: royalblue;\\n\\tposition: relative;\\n\\tmargin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n\\tposition: relative;\\n\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n\\tborder-radius:3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n\\tcontent:\\\" \\\";\\n\\tposition:absolute;\\n\\theight: 20px;\\n\\ttop:0;\\n\\tleft:0;\\n\\tright:0;\\n\\tbottom:0;\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n  from {background-position: 0%}\\n  to {background-position: 100%}\\n}\\n\");\n    },\n    function(Bokeh) {\n      /* BEGIN bokeh.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. 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_.LODStart)),this._interactive_timestamp=Date.now()}interactive_stop(e){null!=this._interactive_plot&&this._interactive_plot.id===e.id&&this._interactive_plot.trigger_event(new _.LODEnd),this._interactive_plot=null,this._interactive_timestamp=null}interactive_duration(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=d.copy(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(\"Somehow we didn't detach \"+e);if(0!=this._all_models.size)throw new Error(\"this._all_models still had stuff in it: \"+this._all_models);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){i.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=f.union(e,t.references());const t=new Set(this._all_models.values()),s=f.difference(t,e),o=f.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(i.logger.debug(\"Adding root: \"+e),!d.includes(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new v.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof w.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof v.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new 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in e){const o=e[s];t[s]=n(o)}return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:r,attributes:i}of e){const e=!t.has(r),_=e?s.get(r):t.get(r),a=y._resolve_refs(i,t,s,o);_.setv(a,{silent:!0}),n.set(r,{instance:_,is_new:e})}const r=[],i=new Set;function _(e){if(e instanceof a.HasProps){if(n.has(e.id)&&!i.has(e.id)){i.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e in o)_(o[e]);s&&(t.finalize(),r.push(t))}}else if(m.isArray(e))for(const t of e)_(t);else if(m.isPlainObject(e))for(const t in e)_(e[t])}for(const e of n.values())_(e.instance);for(const e of r)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const r={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return a.HasProps._json_record_references(o,s,n,{recursive:!0}),r}return null}static _events_to_sync_objects(e,t,s,o){const 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s}function r(e){const[t]=Object.keys(e),[s]=t.split(\"_\",1);return s}h.isArray(e)||(e=[e]);const n={},i=[];for(const o of e)if(h.isString(o)){const[e,r=\"\"]=o.split(\":\"),c=t(e);i.push(o),u.extend(n,s(r,c))}else if(h.isArray(o)){const[e,t]=o;i.push(`${r(t)}:${e}`),u.extend(n,s(e,t))}else{const e=o;i.push(r(e)),u.extend(n,e)}this.define(n),this.prototype._mixins=[...this.prototype._mixins,...i]}static override(e){for(const[t,s]of u.entries(e)){const e=this._fix_default(s,t),r=this.prototype._props[t];if(null==r)throw new Error(`attempted to override nonexistent '${this.prototype.type}.${t}'`);const n=u.clone(this.prototype._props);n[t]=Object.assign(Object.assign({},r),{default_value:e}),this.prototype._props=n}}toString(){return`${this.type}(${this.id})`}property(e){const t=this.properties[e];if(null!=t)return t;throw new Error(`unknown property ${this.type}.${e}`)}get attributes(){const e={};for(const t of this)e[t.attr]=t.get_value();return e}finalize(){for(const e of 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t}return e}attributes_as_json(e=!0,t=y._value_to_json){const s={};for(const r of this)r.syncable&&(e||r.dirty)&&(s[r.attr]=t(r.get_value()));return s}static _json_record_references(e,t,s,r){const{recursive:n}=r;if(i.is_ref(t)){const r=e.get_model_by_id(t.id);null==r||s.has(r)||y._value_record_references(r,s,{recursive:n})}else if(h.isArray(t))for(const r of t)y._json_record_references(e,r,s,{recursive:n});else if(h.isPlainObject(t))for(const r in t)if(t.hasOwnProperty(r)){const i=t[r];y._json_record_references(e,i,s,{recursive:n})}}static _value_record_references(e,t,s){const{recursive:r}=s;if(e instanceof y){if(!t.has(e)&&(t.add(e),r)){const s=e._immediate_references();for(const e of s)y._value_record_references(e,t,{recursive:!0})}}else if(h.isArray(e))for(const s of e)y._value_record_references(s,t,{recursive:r});else if(h.isPlainObject(e))for(const s in e)if(e.hasOwnProperty(s)){const n=e[s];y._value_record_references(n,t,{recursive:r})}}_immediate_references(){const e=new Set;for(const t of this.syncable_properties()){const s=t.get_value();y._value_record_references(s,e,{recursive:!1})}return[...e.values()]}references(){const e=new Set;return y._value_record_references(this,e,{recursive:!0}),e}_doc_attached(){}_doc_detached(){}attach_document(e){if(null!=this.document&&this.document!=e)throw new Error(\"models must be owned by only a single document\");this.document=e,this._doc_attached()}detach_document(){this._doc_detached(),this.document=null}_needs_invalidate(e,t){const s=new Set;y._value_record_references(t,s,{recursive:!1});const r=new Set;y._value_record_references(e,r,{recursive:!1});for(const e of s)if(!r.has(e))return!0;for(const e of r)if(!s.has(e))return!0;return!1}_push_changes(e,t={}){const{document:s}=this;if(null==s)return;const{setter_id:r}=t,n=[];for(const[t,i,o]of e)t.syncable&&n.push(new l.ModelChangedEvent(s,this,t.attr,i,o,r));if(0!=n.length){let e;1==n.length?[e]=n:e=new l.DocumentEventBatch(s,n,r),s._trigger_on_change(e)}}materialize_dataspecs(e){const t={};for(const s of this){if(!(s instanceof o.VectorSpec))continue;if(s.optional&&null==s.spec.value&&!s.dirty)continue;const r=s.attr,n=s.array(e);t[\"_\"+r]=n,s instanceof o.DistanceSpec&&(t[\"max_\"+r]=_.max(n))}return t}on_change(e,t){for(const s of h.isArray(e)?e:[e])this.connect(s.change,t)}}s.HasProps=y,y.init_HasProps()},\n      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=n(15),l=n(9);class o{constructor(n,t){this.sender=n,this.name=t}connect(n,t=null){c.has(this.sender)||c.set(this.sender,[]);const e=c.get(this.sender);if(null!=u(e,this,n,t))return!1;const s=t||n;r.has(s)||r.set(s,[]);const l=r.get(s),o={signal:this,slot:n,context:t};return e.push(o),l.push(o),!0}disconnect(n,t=null){const e=c.get(this.sender);if(null==e||0===e.length)return!1;const s=u(e,this,n,t);if(null==s)return!1;const l=t||n,o=r.get(l);return s.signal=null,f(e),f(o),!0}emit(n){const 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e)n.signal=null;f(e)}}}(o||(e.Signal=o={})),e.Signalable=function(){return class{connect(n,t){return n.connect(t,this)}disconnect(n,t){return n.disconnect(t,this)}}};const c=new WeakMap,r=new WeakMap;function u(n,t,e,s){return l.find(n,n=>n.signal===t&&n.slot===e&&n.context===s)}const g=new Set;function f(n){0===g.size&&s.defer(a),g.add(n)}function a(){for(const n of g)l.remove_by(n,n=>null==n.signal);g.clear()}},\n      function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.delay=\n      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n      //     Underscore may be freely distributed under the MIT license.\n      function(n,e){return setTimeout(n,e)};const u=\"function\"==typeof requestAnimationFrame?requestAnimationFrame:setImmediate;t.defer=function(n){return new Promise(e=>{u(()=>e(n()))})},t.throttle=function(n,e,t={}){let u,o,i,r=null,l=0;const 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enum_values(){return s.Direction}normalize(e){const t=new Uint8Array(e.length);for(let n=0;n<e.length;n++)switch(e[n]){case\"clock\":t[n]=0;break;case\"anticlock\":t[n]=1}return 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N extends p{get_value(){return null===this.spec.value?null:this.spec}_update(e){d(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}}n.ScalarSpec=N,N.__name__=\"ScalarSpec\";class z extends N{}n.AnyScalar=z,z.__name__=\"AnyScalar\";class D extends N{}n.ColorScalar=D,D.__name__=\"ColorScalar\";class F extends N{}n.NumberScalar=F,F.__name__=\"NumberScalar\";class k extends N{}n.StringScalar=k,k.__name__=\"StringScalar\";class O extends N{}n.NullStringScalar=O,O.__name__=\"NullStringScalar\";class U extends N{}n.ArrayScalar=U,U.__name__=\"ArrayScalar\";class w extends N{}n.LineJoinScalar=w,w.__name__=\"LineJoinScalar\";class R extends N{}n.LineCapScalar=R,R.__name__=\"LineCapScalar\";class E extends N{}n.FontSizeScalar=E,E.__name__=\"FontSizeScalar\";class $ extends N{}n.FontStyleScalar=$,$.__name__=\"FontStyleScalar\";class H extends N{}n.TextAlignScalar=H,H.__name__=\"TextAlignScalar\";class j extends N{}n.TextBaselineScalar=j,j.__name__=\"TextBaselineScalar\";class I extends p{get_value(){return null===this.spec.value?null:this.spec}_update(e){d(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}array(e){let t;if(null!=this.spec.field){if(t=this.normalize(e.get_column(this.spec.field)),null==t)throw new Error(`attempted to retrieve property array for nonexistent field '${this.spec.field}'`)}else if(null!=this.spec.expr)t=this.normalize(this.spec.expr.v_compute(e));else{let n=e.get_length();null==n&&(n=1);const i=this.value(!1);t=r.repeat(i,n)}return null!=this.spec.transform&&(t=this.spec.transform.v_compute(t)),t}}n.VectorSpec=I,I.__name__=\"VectorSpec\";class J extends I{}n.DataSpec=J,J.__name__=\"DataSpec\";class V extends I{_update(e){super._update(e),null==this.spec.units&&(this.spec.units=this.default_units);const t=this.spec.units;if(!r.includes(this.valid_units,t))throw new Error(`units must be one of ${this.valid_units.join(\", \")}; 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i.color2css(this.line_color.value(),this.line_alpha.value())}}a.Line=p,p.__name__=\"Line\",p.prototype.attrs=Object.keys(c.LineVector);class v extends u{set_value(e){e.fillStyle=this.fill_color.value(),e.globalAlpha=this.fill_alpha.value()}get doit(){return!(null===this.fill_color.spec.value||0==this.fill_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"fill_color\",t),e.fillStyle=this.cache.fill_color,this.cache_select(\"fill_alpha\",t),e.globalAlpha=this.cache.fill_alpha}color_value(){return i.color2css(this.fill_color.value(),this.fill_alpha.value())}}a.Fill=v,v.__name__=\"Fill\",v.prototype.attrs=Object.keys(c.FillVector);class f extends u{cache_select(e,t){let a;if(\"pattern\"==e){this.cache_select(\"hatch_color\",t),this.cache_select(\"hatch_scale\",t),this.cache_select(\"hatch_pattern\",t),this.cache_select(\"hatch_weight\",t);const{hatch_color:e,hatch_scale:a,hatch_pattern:s,hatch_weight:c,hatch_extra:l}=this.cache;if(null!=l&&l.hasOwnProperty(s)){const t=l[s];this.cache.pattern=t.get_pattern(e,a,c)}else this.cache.pattern=t=>{const l=_(s,e,a,c);return t.createPattern(l,\"repeat\")}}else a=super.cache_select(e,t);return a}_try_defer(e){const{hatch_pattern:t,hatch_extra:a}=this.cache;if(null!=a&&a.hasOwnProperty(t)){a[t].onload(e)}}get doit(){return!(null===this.hatch_color.spec.value||0==this.hatch_alpha.spec.value||\" \"==this.hatch_pattern.spec.value||\"blank\"==this.hatch_pattern.spec.value||null===this.hatch_pattern.spec.value)}doit2(e,t,a,s){if(!this.doit)return;this.cache_select(\"pattern\",t),null==this.cache.pattern(e)?this._try_defer(s):(this.set_vectorize(e,t),a())}_set_vectorize(e,t){this.cache_select(\"pattern\",t),e.fillStyle=this.cache.pattern(e),this.cache_select(\"hatch_alpha\",t),e.globalAlpha=this.cache.hatch_alpha}color_value(){return i.color2css(this.hatch_color.value(),this.hatch_alpha.value())}}a.Hatch=f,f.__name__=\"Hatch\",f.prototype.attrs=Object.keys(c.HatchVector);class d extends u{color_value(){return i.color2css(this.text_color.value(),this.text_alpha.value())}font_value(){const e=this.text_font.value(),t=this.text_font_size.value();return`${this.text_font_style.value()} ${t} ${e}`}v_font_value(e){super.cache_select(\"text_font_style\",e),super.cache_select(\"text_font_size\",e),super.cache_select(\"text_font\",e);const{text_font_style:t,text_font_size:a,text_font:s}=this.cache;return`${t} ${a} ${s}`}cache_select(e,t){let a;return\"font\"==e?this.cache.font=a=this.v_font_value(t):a=super.cache_select(e,t),a}set_value(e){e.font=this.font_value(),e.fillStyle=this.text_color.value(),e.globalAlpha=this.text_alpha.value(),e.textAlign=this.text_align.value(),e.textBaseline=this.text_baseline.value()}get doit(){return!(null===this.text_color.spec.value||0==this.text_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"font\",t),e.font=this.cache.font,this.cache_select(\"text_color\",t),e.fillStyle=this.cache.text_color,this.cache_select(\"text_alpha\",t),e.globalAlpha=this.cache.text_alpha,this.cache_select(\"text_align\",t),e.textAlign=this.cache.text_align,this.cache_select(\"text_baseline\",t),e.textBaseline=this.cache.text_baseline}}a.Text=d,d.__name__=\"Text\",d.prototype.attrs=Object.keys(c.TextVector);class k{constructor(e){for(const t of e._mixins){const[a,s=\"\"]=t.split(\":\");let c;switch(a){case\"line\":c=p;break;case\"fill\":c=v;break;case\"hatch\":c=f;break;case\"text\":c=d;break;default:throw new Error(\"unknown visual: \"+a)}this[s+a]=new c(e,s)}}warm_cache(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&a.warm_cache(e)}}set_all_indices(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&(a.all_indices=e)}}}a.Visuals=k,k.__name__=\"Visuals\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),c=e(13),i=n.__importStar(e(18)),a=e(8),r=e(17),o=e(72);class l extends c.HasProps{constructor(e){super(e)}static init_Model(){this.define({tags:[i.Array,[]],name:[i.String],js_property_callbacks:[i.Any,{}],js_event_callbacks:[i.Any,{}],subscribed_events:[i.Array,[]]})}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,()=>this._update_property_callbacks()),this.connect(this.properties.js_event_callbacks.change,()=>this._update_event_callbacks()),this.connect(this.properties.subscribed_events.change,()=>this._update_event_callbacks())}_process_event(e){for(const t of this.js_event_callbacks[e.event_name]||[])t.execute(e);null!=this.document&&this.subscribed_events.some(t=>t==e.event_name)&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):o.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of r.entries(this.js_property_callbacks)){const n=s.map(e=>()=>e.execute(this));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){r.isEmpty(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if(a.isString(e))return[...this.references()].filter(t=>t instanceof l&&t.name===e);if(e.prototype instanceof c.HasProps)return[...this.references()].filter(t=>t instanceof e);throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=l,l.__name__=\"Model\",l.init_Model()},\n      function _(e,l,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(8),t={};class s{constructor(e,l){this.name=e,this.level=l}}o.LogLevel=s,s.__name__=\"LogLevel\";class g{constructor(e,l=g.INFO){this._name=e,this.set_level(l)}static get levels(){return Object.keys(g.log_levels)}static get(e,l=g.INFO){if(e.length>0){let o=t[e];return null==o&&(t[e]=o=new g(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof s)this._log_level=e;else{if(!n.isString(e)||null==g.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=g.log_levels[e]}const l=`[${this._name}]`;for(const e in g.log_levels){g.log_levels[e].level<this._log_level.level||this._log_level.level===g.OFF.level?this[e]=function(){}:this[e]=r(e,l)}}trace(...e){}debug(...e){}info(...e){}warn(...e){}error(...e){}}function r(e,l){return null!=console[e]?console[e].bind(console,l):null!=console.log?console.log.bind(console,l):function(){}}function i(e){const l=o.logger.level;return n.isString(e)&&null==g.log_levels[e]?(console.log(`[bokeh] unrecognized logging level '${e}' passed to Bokeh.set_log_level(), ignoring`),console.log(\"[bokeh] valid log levels are: \"+g.levels.join(\", \"))):(console.log(`[bokeh] setting log level to: '${n.isString(e)?e:e.level}'`),o.logger.set_level(e)),l}o.Logger=g,g.__name__=\"Logger\",g.TRACE=new s(\"trace\",0),g.DEBUG=new s(\"debug\",1),g.INFO=new s(\"info\",2),g.WARN=new s(\"warn\",6),g.ERROR=new s(\"error\",7),g.FATAL=new s(\"fatal\",8),g.OFF=new s(\"off\",9),g.log_levels={trace:g.TRACE,debug:g.DEBUG,info:g.INFO,warn:g.WARN,error:g.ERROR,fatal:g.FATAL,off:g.OFF},o.logger=g.get(\"bokeh\"),o.set_log_level=i,o.with_log_level=function(e,l){const o=i(e);try{l()}finally{i(o)}}},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-shading {\\n  position: absolute;\\n  display: block;\\n  border: 1px dashed green;\\n}\\n\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),a=t(31),n=t(75),r=t(76),o=t(23),_=i.__importStar(t(18)),l=t(10);class h extends a.AnnotationView{initialize(){super.initialize(),null==this.model.source&&(this.model.source=new r.ColumnDataSource),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.set_data(this.model.source)),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source))}set_data(t){super.set_data(t),this.visuals.warm_cache(t),this.plot_view.request_render()}_map_data(){const{frame:t}=this.plot_view;let e,s,i,a;return\"data\"==this.model.start_units?(e=t.xscales[this.model.x_range_name].v_compute(this._x_start),s=t.yscales[this.model.y_range_name].v_compute(this._y_start)):(e=t.xview.v_compute(this._x_start),s=t.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(i=t.xscales[this.model.x_range_name].v_compute(this._x_end),a=t.yscales[this.model.y_range_name].v_compute(this._y_end)):(i=t.xview.v_compute(this._x_end),a=t.yview.v_compute(this._y_end)),[[e,s],[i,a]]}render(){if(!this.model.visible)return;const{ctx:t}=this.layer;t.save();const[e,s]=this._map_data();null!=this.model.end&&this._arrow_head(t,\"render\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"render\",this.model.start,s,e),t.beginPath();const{x:i,y:a,width:n,height:r}=this.plot_view.frame.bbox;t.rect(i,a,n,r),null!=this.model.end&&this._arrow_head(t,\"clip\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"clip\",this.model.start,s,e),t.closePath(),t.clip(),this._arrow_body(t,e,s),t.restore()}_arrow_head(t,e,s,i,a){for(let n=0,r=this._x_start.length;n<r;n++){const r=Math.PI/2+l.atan2([i[0][n],i[1][n]],[a[0][n],a[1][n]]);t.save(),t.translate(a[0][n],a[1][n]),t.rotate(r),\"render\"==e?s.render(t,n):\"clip\"==e&&s.clip(t,n),t.restore()}}_arrow_body(t,e,s){if(this.visuals.line.doit)for(let i=0,a=this._x_start.length;i<a;i++)this.visuals.line.set_vectorize(t,i),t.beginPath(),t.moveTo(e[0][i],e[1][i]),t.lineTo(s[0][i],s[1][i]),t.stroke()}}s.ArrowView=h,h.__name__=\"ArrowView\";class d extends a.Annotation{constructor(t){super(t)}static init_Arrow(){this.prototype.default_view=h,this.mixins(o.LineVector),this.define({x_start:[_.NumberSpec],y_start:[_.NumberSpec],start_units:[_.SpatialUnits,\"data\"],start:[_.Instance,null],x_end:[_.NumberSpec],y_end:[_.NumberSpec],end_units:[_.SpatialUnits,\"data\"],end:[_.Instance,()=>new n.OpenHead({})],source:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]})}}s.Arrow=d,d.__name__=\"Arrow\",d.init_Arrow()},\n      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),o=i(31),l=i(70),n=i(23),h=t.__importStar(i(18));class a extends o.Annotation{constructor(i){super(i)}static init_ArrowHead(){this.define({size:[h.Number,25]})}initialize(){super.initialize(),this.visuals=new l.Visuals(this)}}s.ArrowHead=a,a.__name__=\"ArrowHead\",a.init_ArrowHead();class r extends a{constructor(i){super(i)}static init_OpenHead(){this.mixins(n.LineVector)}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,0),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.stroke())}}s.OpenHead=r,r.__name__=\"OpenHead\",r.init_OpenHead();class z extends a{constructor(i){super(i)}static init_NormalHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._normal(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._normal(i,e),i.stroke())}_normal(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.closePath()}}s.NormalHead=z,z.__name__=\"NormalHead\",z.init_NormalHead();class _ extends a{constructor(i){super(i)}static init_VeeHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._vee(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._vee(i,e),i.stroke())}_vee(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.closePath()}}s.VeeHead=_,_.__name__=\"VeeHead\",_.init_VeeHead();class c extends a{constructor(i){super(i)}static init_TeeHead(){this.mixins(n.LineVector)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,0),i.lineTo(-.5*this.size,0),i.stroke())}clip(i,e){}}s.TeeHead=c,c.__name__=\"TeeHead\",c.init_TeeHead()},\n      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(77),r=s.__importStar(t(18)),i=t(8),l=t(17),a=s.__importStar(t(103)),c=t(104),u=t(105);function h(t,n,e){if(i.isArray(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if(i.isTypedArray(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let i;t.length<e?(i=new t.constructor(e),i.set(t,0)):i=t;for(let t=o,n=r;t<n;t++)i[t-o]=i[t];for(let t=0,e=n.length;t<e;t++)i[t+(r-o)]=n[t];return i}{const e=new t.constructor(n);return a.concat(t,e)}}throw new Error(\"unsupported array types\")}function d(t,n){let e,s,o;return i.isNumber(t)?(e=t,o=t+1,s=1):(e=null!=t.start?t.start:0,o=null!=t.stop?t.stop:n,s=null!=t.step?t.step:1),[e,o,s]}function m(t,n){const e=new Set;let s=!1;for(const[o,r]of n){let n,l,a,c;if(i.isArray(o)){const[s]=o;e.add(s),n=t[s].shape,l=t[s],c=r,2===o.length?(n=[1,n[0]],a=[o[0],0,o[1]]):a=o}else i.isNumber(o)?(c=[r],e.add(o)):(c=r,s=!0),a=[0,0,o],n=[1,t.length],l=t;let u=0;const[h,m,f]=d(a[1],n[0]),[_,p,g]=d(a[2],n[1]);for(let t=h;t<m;t+=f)for(let o=_;o<p;o+=g)s&&e.add(o),l[t*n[1]+o]=c[u],u++}return e}e.stream_to_column=h,e.slice=d,e.patch_to_column=m;class f extends o.ColumnarDataSource{constructor(t){super(t)}static init_ColumnDataSource(){this.define({data:[r.Any,{}]})}stream(t,n,e){const{data:s}=this;for(const e in t)s[e]=h(s[e],t[e],n);if(this.setv({data:s},{silent:!0}),this.streaming.emit(),null!=this.document){const s=new u.ColumnsStreamedEvent(this.document,this.ref(),t,n);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:s})}}patch(t,n){const{data:e}=this;let s=new Set;for(const[n,o]of l.entries(t))s=c.union(s,m(e[n],o));if(this.setv({data:e},{silent:!0}),this.patching.emit([...s]),null!=this.document){const e=new u.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:e})}}}e.ColumnDataSource=f,f.__name__=\"ColumnDataSource\",f.init_ColumnDataSource()},\n      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(78),i=t(14),r=t(72),c=t(80),l=a.__importStar(t(18)),o=t(8),u=t(9),h=t(17),g=t(79),_=t(102);class d extends s.DataSource{constructor(t){super(t)}get_array(t){let n=this.data[t];return null==n?this.data[t]=n=[]:o.isArray(n)||(this.data[t]=n=Array.from(n)),n}static init_ColumnarDataSource(){this.define({selection_policy:[l.Instance,()=>new _.UnionRenderers]}),this.internal({selection_manager:[l.Instance,t=>new c.SelectionManager({source:t})],inspected:[l.Instance,()=>new g.Selection]})}initialize(){super.initialize(),this._select=new i.Signal0(this,\"select\"),this.inspect=new i.Signal(this,\"inspect\"),this.streaming=new i.Signal0(this,\"streaming\"),this.patching=new i.Signal(this,\"patching\")}get_column(t){const n=this.data[t];return null!=n?n:null}columns(){return h.keys(this.data)}get_length(t=!0){const n=u.uniq(h.values(this.data).map(t=>t.length));switch(n.length){case 0:return null;case 1:return n[0];default:{const e=\"data source has columns of inconsistent lengths\";if(t)return r.logger.warn(e),n.sort()[0];throw new Error(e)}}}get_indices(){const t=this.get_length();return u.range(0,null!=t?t:1)}clear(){const t={};for(const n of this.columns())t[n]=new this.data[n].constructor(0);this.data=t}}e.ColumnarDataSource=d,d.__name__=\"ColumnarDataSource\",d.init_ColumnarDataSource()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const c=e(1),n=e(71),o=e(79),i=c.__importStar(e(18));class r extends n.Model{constructor(e){super(e)}static init_DataSource(){this.define({selected:[i.Instance,()=>new o.Selection]})}}a.DataSource=r,r.__name__=\"DataSource\",r.init_DataSource()},\n      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),l=t.__importStar(i(18)),c=i(9),_=i(17);class h extends n.Model{constructor(i){super(i)}static init_Selection(){this.define({indices:[l.Array,[]],line_indices:[l.Array,[]],multiline_indices:[l.Any,{}]}),this.internal({selected_glyphs:[l.Array,[]],get_view:[l.Any],image_indices:[l.Array,[]]})}initialize(){super.initialize(),this.get_view=()=>null}static from_hits(i){const e=c.sort_by(i,([,i])=>i).map(([i])=>i);return new h({indices:e})}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.get_view=i.get_view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.get_view=()=>null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=c.union(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=c.intersection(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=c.difference(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=h,h.__name__=\"Selection\",h.init_Selection()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(13),o=e(79),c=e(81),r=e(100),l=i.__importStar(e(18));class p extends n.HasProps{constructor(e){super(e),this.inspectors=new Map}static init_SelectionManager(){this.internal({source:[l.Any]})}select(e,t,s,i=\"replace\"){const n=[],o=[];for(const t of e)t instanceof c.GlyphRendererView?n.push(t):t instanceof r.GraphRendererView&&o.push(t);let l=!1;for(const e of o){const n=e.model.selection_policy.hit_test(t,e);l=l||e.model.selection_policy.do_selection(n,e.model,s,i)}if(n.length>0){const e=this.source.selection_policy.hit_test(t,n);l=l||this.source.selection_policy.do_selection(e,this.source,s,i)}return l}inspect(e,t){let s=!1;if(e instanceof c.GlyphRendererView){const i=e.hit_test(t);if(null!=i){s=!i.is_empty();const n=this.get_or_create_inspector(e.model);n.update(i,!0,\"replace\"),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof r.GraphRendererView){const i=e.model.inspection_policy.hit_test(t,e);s=s||e.model.inspection_policy.do_inspection(i,t,e,!1,\"replace\")}return s}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new o.Selection,this.inspectors.set(e,t)),t}}s.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(82),n=e(83),h=e(94),o=e(95),a=e(97),_=e(98),c=e(72),r=s.__importStar(e(18)),d=e(12),g=e(9),p=e(17),y=e(99),u=e(90),m={fill:{},line:{}},v={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},f={fill:{fill_alpha:.2},line:{}};class w extends l.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model.glyph,t=g.includes(e._mixins,\"fill\"),i=g.includes(e._mixins,\"line\"),s=p.clone(e.attributes);function l(l){const n=p.clone(s);return t&&p.extend(n,l.fill),i&&p.extend(n,l.line),new e.constructor(n)}delete s.id,this.glyph=await this.build_glyph_view(e);let{selection_glyph:n}=this.model;null==n?n=l({fill:{},line:{}}):\"auto\"===n&&(n=l(m)),this.selection_glyph=await this.build_glyph_view(n);let{nonselection_glyph:h}=this.model;null==h?h=l({fill:{},line:{}}):\"auto\"===h&&(h=l(f)),this.nonselection_glyph=await this.build_glyph_view(h);const{hover_glyph:o}=this.model;null!=o&&(this.hover_glyph=await this.build_glyph_view(o));const{muted_glyph:a}=this.model;null!=a&&(this.muted_glyph=await this.build_glyph_view(a));const _=l(v);this.decimated_glyph=await this.build_glyph_view(_),this.xscale=this.plot_view.frame.xscales[this.model.x_range_name],this.yscale=this.plot_view.frame.yscales[this.model.y_range_name],this.set_data(!1)}async build_glyph_view(e){return y.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.glyph.change,()=>this.set_data()),this.connect(this.model.data_source.change,()=>this.set_data()),this.connect(this.model.data_source.streaming,()=>this.set_data()),this.connect(this.model.data_source.patching,e=>this.set_data(!0,e)),this.connect(this.model.data_source.selected.change,()=>this.request_render()),this.connect(this.model.data_source._select,()=>this.request_render()),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,()=>this.request_render()),this.connect(this.model.properties.view.change,()=>this.set_data()),this.connect(this.model.view.change,()=>this.set_data()),this.connect(this.model.properties.visible.change,()=>this.plot_view.update_dataranges());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const i=e[t];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}for(const e in t){const i=t[e];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}this.connect(this.model.glyph.transformchange,()=>this.set_data())}have_selection_glyphs(){return null!=this.selection_glyph&&null!=this.nonselection_glyph}set_data(e=!0,t=null){const i=Date.now(),s=this.model.data_source;this.all_indices=this.model.view.indices,this.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.glyph.set_data(s,this.all_indices,t),this.glyph.set_visuals(s,this.all_indices),this.decimated_glyph.set_visuals(s,this.all_indices),this.have_selection_glyphs()&&(this.selection_glyph.set_visuals(s,this.all_indices),this.nonselection_glyph.set_visuals(s,this.all_indices)),null!=this.hover_glyph&&this.hover_glyph.set_visuals(s,this.all_indices),null!=this.muted_glyph&&this.muted_glyph.set_visuals(s,this.all_indices);const{lod_factor:l}=this.plot_model;this.decimated=[];for(let e=0,t=Math.floor(this.all_indices.length/l);e<t;e++)this.decimated.push(e*l);const n=Date.now()-i;c.logger.debug(`${this.glyph.model.type} ${this.model}): set_data finished in ${n}ms`),this.set_data_timestamp=Date.now(),e&&this.request_render()}get has_webgl(){return this.glyph.has_webgl}render(){if(!this.model.visible)return;const e=Date.now(),t=this.has_webgl;this.glyph.map_data();const i=Date.now()-e,s=Date.now();let l=this.glyph.mask_data(this.all_indices);l.length===this.all_indices.length&&(l=g.range(0,this.all_indices.length));const _=Date.now()-s,{ctx:r}=this.layer;r.save();const{selected:p}=this.model.data_source;let y;y=!p||p.is_empty()?[]:this.glyph instanceof n.LineView&&p.selected_glyph===this.glyph.model?this.model.view.convert_indices_from_subset(l):p.indices;const{inspected:u}=this.model.data_source,m=new Set((()=>!u||u.is_empty()?[]:u.selected_glyph?this.model.view.convert_indices_from_subset(l):u.indices.length>0?u.indices:Object.keys(u.multiline_indices).map(e=>parseInt(e)))()),v=d.filter(l,e=>m.has(this.all_indices[e])),{lod_threshold:f}=this.plot_model;let w,b,x;null!=this.model.document&&this.model.document.interactive_duration()>0&&!t&&null!=f&&this.all_indices.length>f?(l=this.decimated,w=this.decimated_glyph,b=this.decimated_glyph,x=this.selection_glyph):(w=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,b=this.nonselection_glyph,x=this.selection_glyph),null!=this.hover_glyph&&v.length&&(l=g.difference(l,v));let D,V=null;if(y.length&&this.have_selection_glyphs()){const e=Date.now(),t={};for(const e of y)t[e]=!0;const i=new Array,s=new Array;if(this.glyph instanceof n.LineView)for(const e of this.all_indices)null!=t[e]?i.push(e):s.push(e);else for(const e of l)null!=t[this.all_indices[e]]?i.push(e):s.push(e);V=Date.now()-e,D=Date.now(),b.render(r,s,this.glyph),x.render(r,i,this.glyph),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):this.hover_glyph.render(r,v,this.glyph))}else if(D=Date.now(),this.glyph instanceof n.LineView)this.hover_glyph&&v.length?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):w.render(r,this.all_indices,this.glyph);else if(this.glyph instanceof h.PatchView||this.glyph instanceof o.HAreaView||this.glyph instanceof a.VAreaView)if(0==u.selected_glyphs.length||null==this.hover_glyph)w.render(r,this.all_indices,this.glyph);else for(const e of u.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(r,this.all_indices,this.glyph);else w.render(r,l,this.glyph),this.hover_glyph&&v.length&&this.hover_glyph.render(r,v,this.glyph);const R=Date.now()-D;this.last_dtrender=R;const $=Date.now()-e;c.logger.debug(`${this.glyph.model.type} ${this.model}: render finished in ${$}ms`),c.logger.trace(` - map_data finished in       : ${i}ms`),c.logger.trace(` - mask_data finished in      : ${_}ms`),null!=V&&c.logger.trace(` - selection mask finished in : ${V}ms`),c.logger.trace(` - glyph renders finished in  : ${R}ms`),r.restore()}draw_legend(e,t,i,s,l,n,h,o){null==o&&(o=this.model.get_reference_point(n,h)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o)}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=w,w.__name__=\"GlyphRendererView\";class b extends l.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=w,this.define({data_source:[r.Instance],view:[r.Instance,()=>new _.CDSView],glyph:[r.Instance],hover_glyph:[r.Instance],nonselection_glyph:[r.Any,\"auto\"],selection_glyph:[r.Any,\"auto\"],muted_glyph:[r.Instance],muted:[r.Boolean,!1]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){let i=0;if(null!=e){const s=this.data_source.get_column(e);if(null!=s){const e=d.indexOf(s,t);-1!=e&&(i=e)}}return i}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=b,b.__name__=\"GlyphRenderer\",b.init_GlyphRenderer()},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),a=e(65),_=t.__importStar(e(18));class i extends a.RendererView{}n.DataRendererView=i,i.__name__=\"DataRendererView\";class d extends a.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.define({x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"glyph\"})}}n.DataRenderer=d,d.__name__=\"DataRenderer\",d.init_DataRenderer()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),_=e(92),l=s.__importStar(e(23)),o=s.__importStar(e(93)),r=e(79);class h extends n.XYGlyphView{_render(e,t,{sx:i,sy:s}){let n=!1,_=null;this.visuals.line.set_value(e);for(const l of t){if(n){if(!isFinite(i[l]+s[l])){e.stroke(),e.beginPath(),n=!1,_=l;continue}null!=_&&l-_>1&&(e.stroke(),n=!1)}n?e.lineTo(i[l],s[l]):(e.beginPath(),e.moveTo(i[l],s[l]),n=!0),_=l}n&&e.stroke()}_hit_point(e){const t=new r.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.visuals.line.line_width.value()/2);for(let e=0,_=this.sx.length-1;e<_;e++){const _={x:this.sx[e],y:this.sy[e]},l={x:this.sx[e+1],y:this.sy[e+1]},r=o.dist_to_segment(i,_,l);r<n&&r<s&&(s=r,t.add_to_selected_glyphs(this.model),t.get_view=()=>this,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=new r.Selection;let n,_;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),_=this._y):(n=this.renderer.xscale.invert(t),_=this._x);for(let e=0,t=_.length-1;e<t;e++)(_[e]<=n&&n<=_[e+1]||_[e+1]<=n&&n<=_[e])&&(s.add_to_selected_glyphs(this.model),s.get_view=()=>this,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return _.line_interpolation(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){_.generic_line_legend(this.visuals,e,t,i)}}i.LineView=h,h.__name__=\"LineView\";class a extends n.XYGlyph{constructor(e){super(e)}static init_Line(){this.prototype.default_view=h,this.mixins(l.Line)}}i.Line=a,a.__name__=\"Line\",a.init_Line()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(85),n=e(89);class _ extends n.GlyphView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y[t];!isNaN(s+i)&&isFinite(s+i)&&e.push({x0:s,y0:i,x1:s,y1:i,i:t})}return new i.SpatialIndex(e)}scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}}s.XYGlyphView=_,_.__name__=\"XYGlyphView\";class h extends n.Glyph{constructor(e){super(e)}static init_XYGlyph(){this.coords([[\"x\",\"y\"]])}}s.XYGlyph=h,h.__name__=\"XYGlyph\",h.init_XYGlyph()},\n      function _(n,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=n(1).__importDefault(n(86)),s=n(88);class r{constructor(n){if(this.points=n,this.index=null,n.length>0){this.index=new e.default(n.length);for(const t of n){const{x0:n,y0:i,x1:e,y1:s}=t;this.index.add(n,i,e,s)}this.index.finish()}}_normalize(n){let{x0:t,y0:i,x1:e,y1:s}=n;return t>e&&([t,e]=[e,t]),i>s&&([i,s]=[s,i]),{x0:t,y0:i,x1:e,y1:s}}get bbox(){if(null==this.index)return s.empty();{const{minX:n,minY:t,maxX:i,maxY:e}=this.index;return{x0:n,y0:t,x1:i,y1:e}}}search(n){if(null==this.index)return[];{const{x0:t,y0:i,x1:e,y1:s}=this._normalize(n);return this.index.search(t,i,e,s).map(n=>this.points[n])}}indices(n){return this.search(n).map(({i:n})=>n)}}i.SpatialIndex=r,r.__name__=\"SpatialIndex\"},\n      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1).__importDefault(t(87)),h=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class n{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[o]=new Uint32Array(t,4,1);return new n(o,e,h[15&i],t)}constructor(t,s=16,i=Float64Array,n){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let o=t,r=o;this._levelBounds=[4*o];do{o=Math.ceil(o/this.nodeSize),r+=o,this._levelBounds.push(4*r)}while(1!==o);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=h.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);n&&n instanceof ArrayBuffer?(this.data=n,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new e.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,t<this.minX&&(this.minX=t),s<this.minY&&(this.minY=s),i>this.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e<this.numItems;e++){let h=4*e;const n=this._boxes[h++],o=this._boxes[h++],r=this._boxes[h++],a=this._boxes[h++],d=Math.floor(65535*((n+r)/2-this.minX)/t),x=Math.floor(65535*((o+a)/2-this.minY)/s);i[e]=_(d,x)}!function t(s,i,e,h,n,o){if(Math.floor(h/o)>=Math.floor(n/o))return;const r=s[h+n>>1];let _=h-1,d=n+1;for(;;){do{_++}while(s[_]<r);do{d--}while(s[d]>r);if(_>=d)break;a(s,i,e,_,d)}t(s,i,e,h,d,o),t(s,i,e,d+1,n,o)}(i,this._boxes,this._indices,0,this.numItems-1,this.nodeSize);for(let t=0,s=0;t<this._levelBounds.length-1;t++){const i=this._levelBounds[t];for(;s<i;){const t=s;let e=1/0,h=1/0,n=-1/0,o=-1/0;for(let t=0;t<this.nodeSize&&s<i;t++)e=Math.min(e,this._boxes[s++]),h=Math.min(h,this._boxes[s++]),n=Math.max(n,this._boxes[s++]),o=Math.max(o,this._boxes[s++]);this._indices[this._pos>>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],a=[];for(;void 0!==n;){const _=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let r=n;r<_;r+=4){const _=0|this._indices[r>>2];i<this._boxes[r]||(e<this._boxes[r+1]||t>this._boxes[r+2]||s>this._boxes[r+3]||(n<4*this.numItems?(void 0===h||h(_))&&a.push(_):o.push(_)))}n=o.pop()}return a}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const a=this._queue,_=[],d=e*e;for(;void 0!==n;){const 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s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let h=0;for(;h<i;){let s=1+(h<<1);const i=s+1;let e=this.ids[s],l=this.values[s];const n=this.values[i];if(i<this.length&&n<l&&(s=i,e=this.ids[i],l=n),l>=t)break;this.ids[h]=e,this.values[h]=l,h=s}this.ids[h]=s,this.values[h]=t}return s}peek(){if(0!==this.length)return this.ids[0]}peekValue(){if(0!==this.length)return this.values[0]}}},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const{min:h,max:r}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:h(t.x0,i.x0),x1:r(t.x1,i.x1),y0:h(t.y0,i.y0),y1:r(t.y1,i.y1)}};class s{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get rect(){return{x0:this.x0,y0:this.y0,x1:this.x1,y1:this.y1}}get box(){return{x:this.x,y:this.y,width:this.width,height:this.height}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}contains(t,i){return t>=this.x0&&t<=this.x1&&i>=this.y0&&i<=this.y1}clip(t,i){return t<this.x0?t=this.x0:t>this.x1&&(t=this.x1),i<this.y0?i=this.y0:i>this.y1&&(i=this.y1),[t,i]}union(t){return new s({x0:h(this.x0,t.x0),y0:h(this.y0,t.y0),x1:r(this.x1,t.x1),y1:r(this.y1,t.y1)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new Float64Array(t.length),e=this.left;for(let h=0;h<t.length;h++)i[h]=e+t[h];return i}}}get yview(){return{compute:t=>this.bottom-t,v_compute:t=>{const i=new Float64Array(t.length),e=this.bottom;for(let h=0;h<t.length;h++)i[h]=e-t[h];return i}}}}e.BBox=s,s.__name__=\"BBox\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=i.__importStar(t(18)),r=i.__importStar(t(88)),a=i.__importStar(t(32)),_=i.__importStar(t(70)),l=t(67),o=t(71),h=t(72),c=t(12),d=t(17),p=t(8),y=t(83),u=t(90),g=t(79);class x extends l.View{constructor(){super(...arguments),this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}initialize(){super.initialize(),this.visuals=new _.Visuals(this.model)}async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e){let s=null;try{s=await Promise.resolve().then(()=>i.__importStar(t(371)))}catch(t){if(\"MODULE_NOT_FOUND\"!==t.code)throw t;h.logger.warn(\"WebGL was requested and is supported, but bokeh-gl(.min).js is not available, falling back to 2D rendering.\")}if(null!=s){const t=s[this.model.type+\"GLGlyph\"];null!=t&&(this.glglyph=new t(e.gl,this))}}}set_visuals(t,e){this.visuals.set_all_indices(e),this.visuals.warm_cache(t),null!=this.glglyph&&this.glglyph.set_visuals_changed()}render(t,e,s){t.beginPath(),null!=this.glglyph&&this.glglyph.render(t,e,s)||this._render(t,e,s)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(t){return t}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const t=r.empty(),e=this.index.search(r.positive_x());for(const s of e)s.x0<t.x0&&(t.x0=s.x0),s.x1>t.x1&&(t.x1=s.x1);const s=this.index.search(r.positive_y());for(const e of s)e.y0<t.y0&&(t.y0=e.y0),e.y1>t.y1&&(t.y1=e.y1);return this._bounds(t)}get_anchor_point(t,e,[s,i]){switch(t){case\"center\":return{x:this.scenterx(e,s,i),y:this.scentery(e,s,i)};default:return null}}sdist(t,e,s,i=\"edge\",n=!1){let r,a;const _=e.length;if(\"center\"==i){const t=c.map(s,t=>t/2);r=new Float64Array(_);for(let s=0;s<_;s++)r[s]=e[s]-t[s];a=new Float64Array(_);for(let s=0;s<_;s++)a[s]=e[s]+t[s]}else{r=e,a=new Float64Array(_);for(let t=0;t<_;t++)a[t]=r[t]+s[t]}const l=t.v_compute(r),o=t.v_compute(a);return n?c.map(l,(t,e)=>Math.ceil(Math.abs(o[e]-l[e]))):c.map(l,(t,e)=>Math.abs(o[e]-l[e]))}draw_legend_for_index(t,e,s){}hit_test(t){switch(t.type){case\"point\":if(null!=this._hit_point)return this._hit_point(t);break;case\"span\":if(null!=this._hit_span)return this._hit_span(t);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(t);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(t)}return this._nohit_warned.has(t.type)||(h.logger.debug(`'${t.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(t.type)),null}_hit_rect_against_index(t){const{sx0:e,sx1:s,sy0:i,sy1:n}=t,[r,a]=this.renderer.xscale.r_invert(e,s),[_,l]=this.renderer.yscale.r_invert(i,n),o=this.index.indices({x0:r,x1:a,y0:_,y1:l});return new g.Selection({indices:o})}set_data(t,e,s){let i=this.model.materialize_dataspecs(t);if(e&&!(this instanceof y.LineView)){const t={};for(const s in i){const n=i[s];\"_\"===s.charAt(0)?t[s]=e.map(t=>n[t]):t[s]=n}i=t}const n=this;if(d.extend(n,i),this.renderer.plot_view.model.use_map&&(null!=n._x&&([n._x,n._y]=a.project_xy(n._x,n._y)),null!=n._xs&&([n._xs,n._ys]=a.project_xsys(n._xs,n._ys)),null!=n._x0&&([n._x0,n._y0]=a.project_xy(n._x0,n._y0)),null!=n._x1&&([n._x1,n._y1]=a.project_xy(n._x1,n._y1))),null!=this.renderer.plot_view.frame.x_ranges){const t=this.renderer.plot_view.frame.x_ranges[this.model.x_range_name],e=this.renderer.plot_view.frame.y_ranges[this.model.y_range_name];for(let[s,i]of this.model._coords)s=\"_\"+s,i=\"_\"+i,null!=n._xs?(t instanceof u.FactorRange&&(n[s]=c.map(n[s],e=>t.v_synthetic(e))),e instanceof u.FactorRange&&(n[i]=c.map(n[i],t=>e.v_synthetic(t)))):(t instanceof u.FactorRange&&(n[s]=t.v_synthetic(n[s])),e instanceof u.FactorRange&&(n[i]=e.v_synthetic(n[i])))}null!=this.glglyph&&this.glglyph.set_data_changed(n._x.length),this._set_data(s),this.index_data()}_set_data(t){}index_data(){this.index=this._index_data()}mask_data(t){return null!=this.glglyph||null==this._mask_data?t:this._mask_data()}map_data(){const t=this;for(let[e,s]of this.model._coords){const i=\"s\"+e,n=\"s\"+s;if(e=\"_\"+e,s=\"_\"+s,null!=t[e]&&(p.isArray(t[e][0])||p.isTypedArray(t[e][0]))){const r=t[e].length;t[i]=new Array(r),t[n]=new Array(r);for(let a=0;a<r;a++){const[r,_]=this.map_to_screen(t[e][a],t[s][a]);t[i][a]=r,t[n][a]=_}}else[t[i],t[n]]=this.map_to_screen(t[e],t[s])}this._map_data()}_map_data(){}map_to_screen(t,e){return this.renderer.plot_view.map_to_screen(t,e,this.model.x_range_name,this.model.y_range_name)}}s.GlyphView=x,x.__name__=\"GlyphView\";class m extends o.Model{constructor(t){super(t)}static init_Glyph(){this.prototype._coords=[],this.internal({x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"]})}static coords(t){const e=this.prototype._coords.concat(t);this.prototype._coords=e;const s={};for(const[e,i]of t)s[e]=[n.CoordinateSpec],s[i]=[n.CoordinateSpec];this.define(s)}}s.Glyph=m,m.__name__=\"Glyph\",m.init_Glyph()},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=t(1),i=t(91),r=s.__importStar(t(18)),a=t(12),o=t(9),p=t(8),g=t(11);function c(t,e,n=0){const s=new Map;for(let i=0;i<t.length;i++){const r=t[i];if(s.has(r))throw new Error(\"duplicate factor or subfactor: \"+r);s.set(r,{value:.5+i*(1+e)+n})}return[s,(t.length-1)*e]}function l(t,e,n,s=0){var i;const r=new Map,a=new Map;for(const[e,n]of t){const t=null!==(i=a.get(e))&&void 0!==i?i:[];a.set(e,[...t,n])}let p=s,g=0;for(const[t,s]of a){const i=s.length,[a,l]=c(s,n,p);g+=l;const u=o.sum(s.map(t=>a.get(t).value));r.set(t,{value:u/i,mapping:a}),p+=i+e+l}return[r,(a.size-1)*e+g]}function u(t,e,n,s,i=0){var r;const a=new Map,p=new Map;for(const[e,n,s]of t){const t=null!==(r=p.get(e))&&void 0!==r?r:[];p.set(e,[...t,[n,s]])}let g=i,c=0;for(const[t,i]of p){const r=i.length,[p,u]=l(i,n,s,g);c+=u;const h=o.sum(i.map(([t])=>p.get(t).value));a.set(t,{value:h/r,mapping:p}),g+=r+e+u}return[a,(p.size-1)*e+c]}n.map_one_level=c,n.map_two_levels=l,n.map_three_levels=u;class h extends i.Range{constructor(t){super(t)}static init_FactorRange(){this.define({factors:[r.Array,[]],factor_padding:[r.Number,0],subgroup_padding:[r.Number,.8],group_padding:[r.Number,1.4],range_padding:[r.Number,0],range_padding_units:[r.PaddingUnits,\"percent\"],start:[r.Number],end:[r.Number]}),this.internal({levels:[r.Number],mids:[r.Array,null],tops:[r.Array,null]})}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,()=>this.reset()),this.connect(this.properties.factor_padding.change,()=>this.reset()),this.connect(this.properties.group_padding.change,()=>this.reset()),this.connect(this.properties.subgroup_padding.change,()=>this.reset()),this.connect(this.properties.range_padding.change,()=>this.reset()),this.connect(this.properties.range_padding_units.change,()=>this.reset())}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[e]=t,n=this._mapping.get(e);return null!=n?n.value:NaN}case 2:{const[e,n]=t,s=this._mapping.get(e);if(null!=s){const t=s.mapping.get(n);if(null!=t)return t.value}return NaN}case 3:{const[e,n,s]=t,i=this._mapping.get(e);if(null!=i){const t=i.mapping.get(n);if(null!=t){const e=t.mapping.get(s);if(null!=e)return e.value}}return NaN}default:g.unreachable()}}synthetic(t){if(p.isNumber(t))return t;if(p.isString(t))return this._lookup([t]);let e=0;const n=t[t.length-1];return p.isNumber(n)&&(e=n,t=t.slice(0,-1)),this._lookup(t)+e}v_synthetic(t){return a.map(t,t=>this.synthetic(t))}_init(t){const{levels:e,mapping:n,tops:s,mids:i,inside_padding:r}=(()=>{if(o.every(this.factors,p.isString)){const t=this.factors,[e,n]=c(t,this.factor_padding);return{levels:1,mapping:e,tops:null,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&2==t.length&&p.isString(t[0])&&p.isString(t[1]))){const t=this.factors,[e,n]=l(t,this.group_padding,this.factor_padding),s=[...e.keys()];return{levels:2,mapping:e,tops:s,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&3==t.length&&p.isString(t[0])&&p.isString(t[1])&&p.isString(t[2]))){const t=this.factors,[e,n]=u(t,this.group_padding,this.subgroup_padding,this.factor_padding),s=[...e.keys()],i=[];for(const[t,n]of e)for(const e of n.mapping.keys())i.push([t,e]);return{levels:3,mapping:e,tops:s,mids:i,inside_padding:n}}g.unreachable()})();this._mapping=n,this.tops=s,this.mids=i;let a=0,h=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(h-a)*this.range_padding/2;a-=t,h+=t}else a-=this.range_padding,h+=this.range_padding;this.setv({start:a,end:h,levels:e},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,h]},{silent:!0})}}n.FactorRange=h,h.__name__=\"FactorRange\",h.init_FactorRange()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(71),r=i.__importStar(e(18));class s extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define({bounds:[r.Any],min_interval:[r.Any],max_interval:[r.Any]}),this.internal({plots:[r.Array,[]]})}get is_reversed(){return this.start>this.end}}n.Range=s,s.__name__=\"Range\",s.init_Range()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1).__importStar(e(93));i.generic_line_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){t.save(),t.beginPath(),t.moveTo(i,(c+o)/2),t.lineTo(n,(c+o)/2),e.line.doit&&(e.line.set_vectorize(t,r),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){const l=.1*Math.abs(n-i),a=.1*Math.abs(o-c),s=i+l,_=n-l,h=c+a,v=o-a;e.fill.doit&&(e.fill.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(s,h,_-s,v-h),e.line.set_vectorize(t,r),t.stroke())},i.line_interpolation=function(e,t,i,c,o,r){const{sx:l,sy:a}=t;let s,_,h,v;\"point\"==t.type?([h,v]=e.yscale.r_invert(a-1,a+1),[s,_]=e.xscale.r_invert(l-1,l+1)):\"v\"==t.direction?([h,v]=e.yscale.r_invert(a,a),[s,_]=[Math.min(i-1,o-1),Math.max(i+1,o+1)]):([s,_]=e.xscale.r_invert(l,l),[h,v]=[Math.min(c-1,r-1),Math.max(c+1,r+1)]);const{x,y}=n.check_2_segments_intersect(s,h,_,v,i,c,o,r);return[x,y]}},\n      function _(t,n,e){function i(t){return t*t}function o(t,n){return i(t.x-n.x)+i(t.y-n.y)}function r(t,n,e){const i=o(n,e);if(0==i)return o(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;return o(t,r<0?n:r>1?e:{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}Object.defineProperty(e,\"__esModule\",{value:!0}),e.point_in_poly=function(t,n,e,i){let o=!1,r=e[e.length-1],s=i[i.length-1];for(let u=0;u<e.length;u++){const c=e[u],_=i[u];s<n!=_<n&&r+(n-s)/(_-s)*(c-r)<t&&(o=!o),r=c,s=_}return o},e.point_in_ellipse=function(t,n,e,i,o,r,s){return((Math.cos(e)/o)**2+(Math.sin(e)/i)**2)*(t-r)**2+2*Math.cos(e)*Math.sin(e)*((1/o)**2-(1/i)**2)*(t-r)*(n-s)+((Math.cos(e)/i)**2+(Math.sin(e)/o)**2)*(n-s)**2<=1},e.dist_2_pts=o,e.dist_to_segment_squared=r,e.dist_to_segment=function(t,n,e){return Math.sqrt(r(t,n,e))},e.check_2_segments_intersect=function(t,n,e,i,o,r,s,u){const c=(u-r)*(e-t)-(s-o)*(i-n);if(0==c)return{hit:!1,x:null,y:null};{let _=n-r,l=t-o;const y=(e-t)*_-(i-n)*l;return _=((s-o)*_-(u-r)*l)/c,l=y/c,{hit:_>0&&_<1&&l>0&&l<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),l=e(84),_=e(92),n=s.__importStar(e(93)),o=s.__importStar(e(23)),a=e(79);class h extends l.XYGlyphView{_inner_loop(e,i,t,s,l){for(const _ of i)0!=_?isNaN(t[_]+s[_])?(e.closePath(),l.apply(e),e.beginPath()):e.lineTo(t[_],s[_]):(e.beginPath(),e.moveTo(t[_],s[_]));e.closePath(),l.call(e)}_render(e,i,{sx:t,sy:s}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner_loop(e,i,t,s,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner_loop(e,i,t,s,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_value(e),this._inner_loop(e,i,t,s,e.stroke))}draw_legend_for_index(e,i,t){_.generic_area_legend(this.visuals,e,i,t)}_hit_point(e){const i=new a.Selection;return n.point_in_poly(e.sx,e.sy,this.sx,this.sy)&&(i.add_to_selected_glyphs(this.model),i.get_view=()=>this),i}}t.PatchView=h,h.__name__=\"PatchView\";class r extends l.XYGlyph{constructor(e){super(e)}static init_Patch(){this.prototype.default_view=h,this.mixins([o.Line,o.Fill,o.Hatch])}}t.Patch=r,r.__name__=\"Patch\",r.init_Patch()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x1.length;t<s;t++){const s=this._x1[t],i=this._x2[t],r=this._y[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:Math.min(s,i),y0:r,x1:Math.max(s,i),y1:r,i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let s=0,r=t.length;s<r;s++)e.lineTo(t[s],i[s]);for(let t=s.length-1;t>=0;t--)e.lineTo(s[t],i[t]);e.closePath(),r.call(e)}_render(e,t,{sx1:s,sx2:i,sy:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}_hit_point(e){const t=this.sy.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx1[e],i[e]=this.sy[e],s[t+e]=this.sx2[t-e-1],i[t+e]=this.sy[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}scenterx(e){return(this.sx1[e]+this.sx2[e])/2}scentery(e){return this.sy[e]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}s.HAreaView=l,l.__name__=\"HAreaView\";class o extends r.Area{constructor(e){super(e)}static init_HArea(){this.prototype.default_view=l,this.define({x1:[_.CoordinateSpec],x2:[_.CoordinateSpec],y:[_.CoordinateSpec]})}}s.HArea=o,o.__name__=\"HArea\",o.init_HArea()},\n      function _(e,_,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(1),r=e(89),t=e(92),n=a.__importStar(e(23));class s extends r.GlyphView{draw_legend_for_index(e,_,i){t.generic_area_legend(this.visuals,e,_,i)}}i.AreaView=s,s.__name__=\"AreaView\";class c extends r.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([n.Fill,n.HatchVector])}}i.Area=c,c.__name__=\"Area\",c.init_Area()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y1[t],r=this._y2[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:s,y0:Math.min(i,r),x1:s,y1:Math.max(i,r),i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let i=0,r=s.length;i<r;i++)e.lineTo(t[i],s[i]);for(let s=i.length-1;s>=0;s--)e.lineTo(t[s],i[s]);e.closePath(),r.call(e)}_render(e,t,{sx:s,sy1:i,sy2:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}scenterx(e){return this.sx[e]}scentery(e){return(this.sy1[e]+this.sy2[e])/2}_hit_point(e){const t=this.sx.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx[e],i[e]=this.sy1[e],s[t+e]=this.sx[t-e-1],i[t+e]=this.sy2[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}s.VAreaView=l,l.__name__=\"VAreaView\";class o extends r.Area{constructor(e){super(e)}static init_VArea(){this.prototype.default_view=l,this.define({x:[_.CoordinateSpec],y1:[_.CoordinateSpec],y2:[_.CoordinateSpec]})}}s.VArea=o,o.__name__=\"VArea\",o.init_VArea()},\n      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),c=t.__importStar(i(18)),o=i(79),r=i(9),_=i(77);class h extends n.Model{constructor(i){super(i)}static init_CDSView(){this.define({filters:[c.Array,[]],source:[c.Instance]}),this.internal({indices:[c.Array,[]],indices_map:[c.Any,{}]})}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,()=>{this.compute_indices(),this.change.emit()});const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,()=>{e||(i(),e=!0)})}compute_indices(){const i=this.filters.map(i=>i.compute_indices(this.source)).filter(i=>null!=i);i.length>0?this.indices=r.intersection.apply(this,i):this.source instanceof _.ColumnarDataSource&&(this.indices=this.source.get_indices()),this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;i<this.indices.length;i++)this.indices_map[this.indices[i]]=i}convert_selection_from_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_selection_to_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices_map[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_indices_from_subset(i){return i.map(i=>this.indices[i])}}s.CDSView=h,h.__name__=\"CDSView\",h.init_CDSView()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(9);async function i(e,n,t){const o=new e(Object.assign(Object.assign({},t),{model:n}));return o.initialize(),await o.lazy_initialize(),o}t.build_view=async function(e,n={parent:null},t=(e=>e.default_view)){const o=await i(t(e),e,n);return o.connect_signals(),o},t.build_views=async function(e,n,t={parent:null},s=(e=>e.default_view)){const c=o.difference([...e.keys()],n);for(const n of c)e.get(n).remove(),e.delete(n);const a=[],f=n.filter(n=>!e.has(n));for(const n of f){const o=await i(s(n),n,t);e.set(n,o),a.push(o)}for(const e of a)e.connect_signals();return a},t.remove_views=function(e){for(const[n,t]of e)t.remove(),e.delete(n)}},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),r=e(82),i=e(101),a=s.__importStar(e(18)),d=e(99);class _ extends r.DataRendererView{initialize(){super.initialize(),this.xscale=this.plot_view.frame.xscales.default,this.yscale=this.plot_view.frame.yscales.default,this._renderer_views=new Map}async lazy_initialize(){[this.node_view,this.edge_view]=await d.build_views(this._renderer_views,[this.model.node_renderer,this.model.edge_renderer],{parent:this.parent}),this.set_data()}remove(){d.remove_views(this._renderer_views),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,()=>this.set_data()),this.connect(this.model.node_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.change,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.change,()=>this.set_data());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const n=e[t];this.connect(n.change,()=>this.set_data())}for(const e in t){const n=t[e];this.connect(n.change,()=>this.set_data())}}set_data(e=!0){this.node_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.edge_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0});const t=this.node_view.glyph;[t._x,t._y]=this.model.layout_provider.get_node_coordinates(this.model.node_renderer.data_source);const n=this.edge_view.glyph;[n._xs,n._ys]=this.model.layout_provider.get_edge_coordinates(this.model.edge_renderer.data_source),t.index_data(),n.index_data(),e&&this.request_render()}render(){this.edge_view.render(),this.node_view.render()}}n.GraphRendererView=_,_.__name__=\"GraphRendererView\";class o extends r.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=_,this.define({layout_provider:[a.Instance],node_renderer:[a.Instance],edge_renderer:[a.Instance],selection_policy:[a.Instance,()=>new i.NodesOnly],inspection_policy:[a.Instance,()=>new i.NodesOnly]})}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=o,o.__name__=\"GraphRenderer\",o.init_GraphRenderer()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const d=e(71),s=e(12),o=e(9),_=e(79);class i extends d.Model{constructor(e){super(e)}_hit_test_nodes(e,t){if(!t.model.visible)return null;const n=t.node_view.glyph.hit_test(e);return null==n?null:t.node_view.model.view.convert_selection_from_subset(n)}_hit_test_edges(e,t){if(!t.model.visible)return null;const n=t.edge_view.glyph.hit_test(e);return null==n?null:t.edge_view.model.view.convert_selection_from_subset(n)}}n.GraphHitTestPolicy=i,i.__name__=\"GraphHitTestPolicy\";class r extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.model.get_selection_manager().get_or_create_inspector(n.node_view.model);return o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesOnly=r,r.__name__=\"NodesOnly\";class c extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}get_linked_edges(e,t,n){let d=[];\"selection\"==n?d=e.selected.indices.map(t=>e.data.index[t]):\"inspection\"==n&&(d=e.inspected.indices.map(t=>e.data.index[t]));const s=[];for(let e=0;e<t.data.start.length;e++)(o.contains(d,t.data.start[e])||o.contains(d,t.data.end[e]))&&s.push(e);const i=new _.Selection;for(const e of s)i.multiline_indices[e]=[0];return i.indices=s,i}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;s.update(e,n,d);const o=t.edge_renderer.data_source.selected,_=this.get_linked_edges(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model);o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model),i=this.get_linked_edges(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.edge_view.model.data_source.setv({inspected:_},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesAndLinkedEdges=c,c.__name__=\"NodesAndLinkedEdges\";class a extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_edges(e,t)}get_linked_nodes(e,t,n){let d=[];\"selection\"==n?d=t.selected.indices:\"inspection\"==n&&(d=t.inspected.indices);const i=[];for(const e of d)i.push(t.data.start[e]),i.push(t.data.end[e]);const r=o.uniq(i).map(t=>s.indexOf(e.data.index,t));return new _.Selection({indices:r})}do_selection(e,t,n,d){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,n,d);const o=t.node_renderer.data_source.selected,_=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model);o.update(e,d,s),n.edge_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model),i=this.get_linked_nodes(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.node_view.model.data_source.setv({inspected:_},{silent:!0}),n.edge_view.model.data_source.inspect.emit([n.edge_view,{geometry:t}]),!o.is_empty()}}n.EdgesAndLinkedNodes=a,a.__name__=\"EdgesAndLinkedNodes\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(71);class o extends s.Model{do_selection(e,t,n,s){return null!==e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=o,o.__name__=\"SelectionPolicy\";class r extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=r,r.__name__=\"IntersectRenderers\";class c extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=c,c.__name__=\"UnionRenderers\"},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.concat=function(t,...e){let n=t.length;for(const t of e)n+=t.length;const o=new t.constructor(n);o.set(t,0);let c=t.length;for(const t of e)o.set(t,c),c+=t.length;return o}},\n      function _(n,o,e){function t(...n){const o=new Set;for(const e of n)for(const n of e)o.add(n);return o}Object.defineProperty(e,\"__esModule\",{value:!0}),e.union=t,e.intersection=function(n,...o){const e=new Set;n:for(const t of n){for(const n of o)if(!n.has(t))continue n;e.add(t)}return e},e.difference=function(n,...o){const e=new Set(n);for(const n of t(...o))e.delete(n);return e}},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(13);class o{constructor(e){this.document=e}}s.DocumentEvent=o,o.__name__=\"DocumentEvent\";class r extends o{constructor(e,t,s){super(e),this.events=t,this.setter_id=s}}s.DocumentEventBatch=r,r.__name__=\"DocumentEventBatch\";class d extends o{}s.DocumentChangedEvent=d,d.__name__=\"DocumentChangedEvent\";class _ extends d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}json(e){const t=this.msg_data,s=n.HasProps._value_to_json(t),o=new Set;return n.HasProps._value_record_references(t,o,{recursive:!0}),{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=_,_.__name__=\"MessageSentEvent\";class i extends d{constructor(e,t,s,n,o,r,d){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=r,this.hint=d}json(e){if(\"id\"===this.attr)throw new Error(\"'id' field should never change, whatever code just set it is wrong\");if(null!=this.hint)return this.hint.json(e);const t=this.new_,s=n.HasProps._value_to_json(t),o=new Set;n.HasProps._value_record_references(t,o,{recursive:!0}),o.has(this.model)&&this.model!==t&&o.delete(this.model);for(const t of o)e.add(t);return{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=i,i.__name__=\"ModelChangedEvent\";class a extends d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}json(e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=a,a.__name__=\"ColumnsPatchedEvent\";class c extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}json(e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=c,c.__name__=\"ColumnsStreamedEvent\";class h extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}json(e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=h,h.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return n.HasProps._value_record_references(this.model,e,{recursive:!0}),{kind:\"RootAdded\",model:this.model.ref()}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class l extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=l,l.__name__=\"RootRemovedEvent\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(31),o=e(76),l=i.__importStar(e(23)),a=i.__importStar(e(18));class n extends _.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],_=\"height\"==t?i:s,o=\"height\"==t?s:i,l=\"height\"==t?e.yview:e.xview,a=\"height\"==t?e.xview:e.yview;let n,h,r;n=\"data\"==this.model.properties.lower.units?_.v_compute(this._lower):l.v_compute(this._lower),h=\"data\"==this.model.properties.upper.units?_.v_compute(this._upper):l.v_compute(this._upper),r=\"data\"==this.model.properties.base.units?o.v_compute(this._base):a.v_compute(this._base);const[c,p]=\"height\"==t?[1,0]:[0,1],u=[n,r],d=[h,r];this._lower_sx=u[c],this._lower_sy=u[p],this._upper_sx=d[c],this._upper_sy=d[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);for(let t=this._upper_sx.length-1;t>=0;t--)e.lineTo(this._upper_sx[t],this._upper_sy[t]);e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(e),e.fill()),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke()),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let t=0,s=this._upper_sx.length;t<s;t++)e.lineTo(this._upper_sx[t],this._upper_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke())}}s.BandView=n,n.__name__=\"BandView\";class h extends _.Annotation{constructor(e){super(e)}static init_Band(){this.prototype.default_view=n,this.mixins([l.Line,l.Fill]),this.define({lower:[a.DistanceSpec],upper:[a.DistanceSpec],base:[a.DistanceSpec],dimension:[a.Dimension,\"height\"],source:[a.Instance,()=>new o.ColumnDataSource],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}}s.Band=h,h.__name__=\"Band\",h.init_Band()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),n=t(31),o=t(14),l=s.__importStar(t(23)),a=s.__importStar(t(18)),r=t(88);e.EDGE_TOLERANCE=2.5;class h extends n.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this)),this.connect(this.model.data_update,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;if(null==this.model.left&&null==this.model.right&&null==this.model.top&&null==this.model.bottom)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],e=t.yscales[this.model.y_range_name],s=(t,i,e,s,n)=>{let o;return o=null!=t?this.model.screen?t:\"data\"==i?e.compute(t):s.compute(t):n,o};this.sleft=s(this.model.left,this.model.left_units,i,t.xview,t._left.value),this.sright=s(this.model.right,this.model.right_units,i,t.xview,t._right.value),this.stop=s(this.model.top,this.model.top_units,e,t.yview,t._top.value),this.sbottom=s(this.model.bottom,this.model.bottom_units,e,t.yview,t._bottom.value),this._paint_box(this.sleft,this.sright,this.sbottom,this.stop)}_paint_box(t,i,e,s){const{ctx:n}=this.layer;n.save(),n.beginPath(),n.rect(t,s,i-t,e-s),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill()),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),n.restore()}interactive_bbox(){const t=this.model.properties.line_width.value()+e.EDGE_TOLERANCE;return new r.BBox({x0:this.sleft-t,y0:this.stop-t,x1:this.sright+t,y1:this.sbottom+t})}interactive_hit(t,i){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,i)}cursor(t,i){return Math.abs(t-this.sleft)<3||Math.abs(t-this.sright)<3?this.model.ew_cursor:Math.abs(i-this.sbottom)<3||Math.abs(i-this.stop)<3?this.model.ns_cursor:t>this.sleft&&t<this.sright&&i>this.stop&&i<this.sbottom?this.model.in_cursor:null}}e.BoxAnnotationView=h,h.__name__=\"BoxAnnotationView\";class _ extends n.Annotation{constructor(t){super(t)}static init_BoxAnnotation(){this.prototype.default_view=h,this.mixins([l.Line,l.Fill]),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],top:[a.Number,null],top_units:[a.SpatialUnits,\"data\"],bottom:[a.Number,null],bottom_units:[a.SpatialUnits,\"data\"],left:[a.Number,null],left_units:[a.SpatialUnits,\"data\"],right:[a.Number,null],right_units:[a.SpatialUnits,\"data\"]}),this.internal({screen:[a.Boolean,!1],ew_cursor:[a.String,null],ns_cursor:[a.String,null],in_cursor:[a.String,null]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({left:t,right:i,top:e,bottom:s}){this.setv({left:t,right:i,top:e,bottom:s,screen:!0},{silent:!0}),this.data_update.emit()}}e.BoxAnnotation=_,_.__name__=\"BoxAnnotation\",_.init_BoxAnnotation()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),a=t(31),s=t(109),r=t(113),l=t(115),n=t(120),_=t(130),h=t(131),m=o.__importStar(t(23)),d=o.__importStar(t(18)),c=o.__importStar(t(132)),u=t(9),p=t(12),g=t(8),f=t(11);class b extends a.AnnotationView{initialize(){super.initialize(),this._set_canvas_image()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.visible.change,()=>this.plot_view.request_render()),this.connect(this.model.ticker.change,()=>this.plot_view.request_render()),this.connect(this.model.formatter.change,()=>this.plot_view.request_render()),null!=this.model.color_mapper&&this.connect(this.model.color_mapper.change,()=>{this._set_canvas_image(),this.plot_view.request_render()})}_get_size(){if(null==this.model.color_mapper)return{width:0,height:0};{const{width:t,height:e}=this.compute_legend_dimensions();return{width:t,height:e}}}_set_canvas_image(){if(null==this.model.color_mapper)return;let t,e,{palette:i}=this.model.color_mapper;switch(\"vertical\"==this.model.orientation&&(i=u.reversed(i)),this.model.orientation){case\"vertical\":[t,e]=[1,i.length];break;case\"horizontal\":[t,e]=[i.length,1]}const o=document.createElement(\"canvas\");o.width=t,o.height=e;const a=o.getContext(\"2d\"),s=a.getImageData(0,0,t,e),r=new l.LinearColorMapper({palette:i}).rgba_mapper.v_compute(u.range(0,i.length));s.data.set(r),a.putImageData(s,0,0),this.image=o}compute_legend_dimensions(){const t=this._computed_image_dimensions(),[e,i]=[t.height,t.width],o=this._get_label_extent(),a=this._title_extent(),s=this._tick_extent(),{padding:r}=this.model;let l,n;switch(this.model.orientation){case\"vertical\":l=e+a+2*r,n=i+s+o+2*r;break;case\"horizontal\":l=e+a+s+o+2*r,n=i+2*r}return{width:n,height:l}}compute_legend_location(){const t=this.compute_legend_dimensions(),[e,i]=[t.height,t.width],o=this.model.margin,a=null!=this.panel?this.panel:this.plot_view.frame,[s,r]=a.bbox.ranges,{location:l}=this.model;let n,_;if(g.isString(l))switch(l){case\"top_left\":n=s.start+o,_=r.start+o;break;case\"top_center\":n=(s.end+s.start)/2-i/2,_=r.start+o;break;case\"top_right\":n=s.end-o-i,_=r.start+o;break;case\"bottom_right\":n=s.end-o-i,_=r.end-o-e;break;case\"bottom_center\":n=(s.end+s.start)/2-i/2,_=r.end-o-e;break;case\"bottom_left\":n=s.start+o,_=r.end-o-e;break;case\"center_left\":n=s.start+o,_=(r.end+r.start)/2-e/2;break;case\"center\":n=(s.end+s.start)/2-i/2,_=(r.end+r.start)/2-e/2;break;case\"center_right\":n=s.end-o-i,_=(r.end+r.start)/2-e/2}else if(g.isArray(l)&&2==l.length){const[t,i]=l;n=a.xview.compute(t),_=a.yview.compute(i)-e}else f.unreachable();return{sx:n,sy:_}}render(){if(!this.model.visible||null==this.model.color_mapper)return;const{ctx:t}=this.layer;t.save();const{sx:e,sy:i}=this.compute_legend_location();t.translate(e,i),this._draw_bbox(t);const o=this._get_image_offset();if(t.translate(o.x,o.y),this._draw_image(t),null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high){const e=this.tick_info();this._draw_major_ticks(t,e),this._draw_minor_ticks(t,e),this._draw_major_labels(t,e)}this.model.title&&this._draw_title(t),t.restore()}_draw_bbox(t){const e=this.compute_legend_dimensions();t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(0,0,e.width,e.height)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_image(t){const e=this._computed_image_dimensions();t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this.image,0,0,e.width,e.height),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_major_ticks(t,e){if(!this.visuals.major_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.major,_=this.model.major_tick_in,h=this.model.major_tick_out;t.save(),t.translate(s,r),this.visuals.major_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_minor_ticks(t,e){if(!this.visuals.minor_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.minor,_=this.model.minor_tick_in,h=this.model.minor_tick_out;t.save(),t.translate(s,r),this.visuals.minor_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_major_labels(t,e){if(!this.visuals.major_label_text.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],l=this.model.label_standoff+this._tick_extent(),[n,_]=[l*i,l*o],[h,m]=e.coords.major,d=e.labels.major;this.visuals.major_label_text.set_value(t),t.save(),t.translate(s+n,r+_);for(let e=0,a=h.length;e<a;e++)t.fillText(d[e],Math.round(h[e]+i*this.model.label_standoff),Math.round(m[e]+o*this.model.label_standoff));t.restore()}_draw_title(t){this.visuals.title_text.doit&&(t.save(),this.visuals.title_text.set_value(t),t.fillText(this.model.title,0,-this.model.title_standoff),t.restore())}_get_label_extent(){const t=this.tick_info().labels.major;let e;if(null==this.model.color_mapper.low||null==this.model.color_mapper.high||u.is_empty(t))e=0;else{const{ctx:i}=this.layer;switch(i.save(),this.visuals.major_label_text.set_value(i),this.model.orientation){case\"vertical\":e=u.max(t.map(t=>i.measureText(t.toString()).width));break;case\"horizontal\":e=c.measure_font(this.visuals.major_label_text.font_value()).height}e+=this.model.label_standoff,i.restore()}return e}_get_image_offset(){return{x:this.model.padding,y:this.model.padding+this._title_extent()}}_normals(){return\"vertical\"==this.model.orientation?[1,0]:[0,1]}_title_extent(){const t=this.model.title_text_font+\" \"+this.model.title_text_font_size+\" \"+this.model.title_text_font_style;return this.model.title?c.measure_font(t).height+this.model.title_standoff:0}_tick_extent(){return null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high?u.max([this.model.major_tick_out,this.model.minor_tick_out]):0}_computed_image_dimensions(){const t=this.plot_view.frame._height.value,e=this.plot_view.frame._width.value,i=this._title_extent();let o,a;switch(this.model.orientation){case\"vertical\":\"auto\"==this.model.height?null!=this.panel?o=t-2*this.model.padding-i:(o=u.max([25*this.model.color_mapper.palette.length,.3*t]),o=u.min([o,.8*t-2*this.model.padding-i])):o=this.model.height,a=\"auto\"==this.model.width?25:this.model.width;break;case\"horizontal\":o=\"auto\"==this.model.height?25:this.model.height,\"auto\"==this.model.width?null!=this.panel?a=e-2*this.model.padding:(a=u.max([25*this.model.color_mapper.palette.length,.3*e]),a=u.min([a,.8*e-2*this.model.padding])):a=this.model.width}return{width:a,height:o}}_tick_coordinate_scale(t){const e={source_range:new h.Range1d({start:this.model.color_mapper.low,end:this.model.color_mapper.high}),target_range:new h.Range1d({start:0,end:t})};switch(this.model.color_mapper.type){case\"LinearColorMapper\":return new n.LinearScale(e);case\"LogColorMapper\":return new _.LogScale(e);default:f.unreachable()}}_format_major_labels(t,e){const i=this.model.formatter.doFormat(t,null);for(let t=0,o=e.length;t<o;t++)e[t]in this.model.major_label_overrides&&(i[t]=this.model.major_label_overrides[e[t]]);return i}tick_info(){const t=this._computed_image_dimensions();let e;switch(this.model.orientation){case\"vertical\":e=t.height;break;case\"horizontal\":e=t.width}const i=this._tick_coordinate_scale(e),[o,a]=this._normals(),[s,r]=[this.model.color_mapper.low,this.model.color_mapper.high],l=this.model.ticker.get_ticks(s,r,null,null,this.model.ticker.desired_num_ticks),n=l.major,_=l.minor,h=[[],[]],m=[[],[]];for(let t=0,e=n.length;t<e;t++)n[t]<s||n[t]>r||(h[o].push(n[t]),h[a].push(0));for(let t=0,e=_.length;t<e;t++)_[t]<s||_[t]>r||(m[o].push(_[t]),m[a].push(0));const d={major:this._format_major_labels(h[o],n)},c={major:[[],[]],minor:[[],[]]};return c.major[o]=i.v_compute(h[o]),c.minor[o]=i.v_compute(m[o]),c.major[a]=h[a],c.minor[a]=m[a],\"vertical\"==this.model.orientation&&(c.major[o]=p.map(c.major[o],t=>e-t),c.minor[o]=p.map(c.minor[o],t=>e-t)),{coords:c,labels:d}}}i.ColorBarView=b,b.__name__=\"ColorBarView\";class v extends a.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=b,this.mixins([[\"major_label_\",m.Text],[\"title_\",m.Text],[\"major_tick_\",m.Line],[\"minor_tick_\",m.Line],[\"border_\",m.Line],[\"bar_\",m.Line],[\"background_\",m.Fill]]),this.define({location:[d.Any,\"top_right\"],orientation:[d.Orientation,\"vertical\"],title:[d.String],title_standoff:[d.Number,2],width:[d.Any,\"auto\"],height:[d.Any,\"auto\"],scale_alpha:[d.Number,1],ticker:[d.Instance,()=>new s.BasicTicker],formatter:[d.Instance,()=>new r.BasicTickFormatter],major_label_overrides:[d.Any,{}],color_mapper:[d.Instance],label_standoff:[d.Number,5],margin:[d.Number,30],padding:[d.Number,10],major_tick_in:[d.Number,5],major_tick_out:[d.Number,0],minor_tick_in:[d.Number,0],minor_tick_out:[d.Number,0]}),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_align:\"center\",major_label_text_baseline:\"middle\",major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}}i.ColorBar=v,v.__name__=\"ColorBar\",v.init_ColorBar()},\n      function _(e,c,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(110);class r extends i.AdaptiveTicker{constructor(e){super(e)}}s.BasicTicker=r,r.__name__=\"BasicTicker\"},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(111),n=t(9),r=a.__importStar(t(18));class _ extends s.ContinuousTicker{constructor(t){super(t)}static init_AdaptiveTicker(){this.define({base:[r.Number,10],mantissas:[r.Array,[1,2,5]],min_interval:[r.Number,0],max_interval:[r.Number]})}initialize(){super.initialize();const t=n.nth(this.mantissas,-1)/this.base,i=n.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,e){const a=i-t,s=this.get_ideal_interval(t,i,e),r=Math.floor(function(t,i=Math.E){return Math.log(t)/Math.log(i)}(s/this.base_factor,this.base)),_=this.base**r*this.base_factor,h=this.extended_mantissas,m=h.map(t=>Math.abs(e-a/(t*_))),o=h[n.argmin(m)];return c=o*_,l=this.get_min_interval(),u=this.get_max_interval(),Math.max(l,Math.min(u,c));var c,l,u}}e.AdaptiveTicker=_,_.__name__=\"AdaptiveTicker\",_.init_AdaptiveTicker()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),r=t(112),s=n.__importStar(t(18)),o=t(9);class _ extends r.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define({num_minor_ticks:[s.Number,5],desired_num_ticks:[s.Number,6]})}get_ticks(t,i,e,n,r){return this.get_ticks_no_defaults(t,i,n,this.desired_num_ticks)}get_ticks_no_defaults(t,i,e,n){const r=this.get_interval(t,i,n),s=Math.floor(t/r),_=Math.ceil(i/r);let c;c=isNaN(s)||isNaN(_)?[]:o.range(s,_+1);const u=c.map(t=>t*r).filter(e=>t<=e&&e<=i),a=this.num_minor_ticks,l=[];if(a>0&&u.length>0){const e=r/a,n=o.range(0,a).map(t=>t*e);for(const e of n.slice(1)){const n=u[0]-e;t<=n&&n<=i&&l.push(n)}for(const e of u)for(const r of n){const n=e+r;t<=n&&n<=i&&l.push(n)}}return{major:u,minor:l}}get_min_interval(){return this.min_interval}get_max_interval(){return null!=this.max_interval?this.max_interval:1/0}get_ideal_interval(t,i,e){return(i-t)/e}}e.ContinuousTicker=_,_.__name__=\"ContinuousTicker\",_.init_ContinuousTicker()},\n      function _(e,c,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(71);class r extends o.Model{constructor(e){super(e)}}n.Ticker=r,r.__name__=\"Ticker\"},\n      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),s=i(114),n=r.__importStar(i(18));class o extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define({precision:[n.Any,\"auto\"],use_scientific:[n.Boolean,!0],power_limit_high:[n.Number,5],power_limit_low:[n.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,r=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const s of i){const i=Math.abs(s);if(!(i<=r)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){const r=new Array(i.length);if(t)for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toExponential(e);else for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toFixed(e).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");return r}_auto_precision(i,t){const e=new Array(i.length),r=this.last_precision<=15;i:for(let s=this.last_precision;r?s<=15:s>=1;r?s++:s--){if(t){e[0]=i[0].toExponential(s);for(let t=1;t<i.length;t++)if(e[t]==e[t-1])continue i;this.last_precision=s;break}e[0]=i[0].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");for(let t=1;t<i.length;t++)if(e[t]=i[t].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"),e[t]==e[t-1])continue i;this.last_precision=s;break}return this.last_precision}doFormat(i,t){if(0==i.length)return[];const e=this._need_sci(i),r=\"auto\"==this.precision?this._auto_precision(i,e):this.precision;return this._format_with_precision(i,e,r)}}e.BasicTickFormatter=o,o.__name__=\"BasicTickFormatter\",o.init_BasicTickFormatter()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class c extends r.Model{constructor(e){super(e)}}o.TickFormatter=c,c.__name__=\"TickFormatter\"},\n      function _(o,n,l){Object.defineProperty(l,\"__esModule\",{value:!0});const e=o(116),t=o(12);class i extends e.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,n,l,e){const{nan_color:i,low_color:r,high_color:s}=e,c=null!=this.low?this.low:t.min(o),h=null!=this.high?this.high:t.max(o),u=l.length-1,a=1/(h-c),_=1/l.length;for(let e=0,t=o.length;e<t;e++){const t=o[e];if(isNaN(t)){n[e]=i;continue}if(t==h){n[e]=l[u];continue}const p=(t-c)*a,f=Math.floor(p/_);n[e]=f<0?null!=r?r:l[0]:f>u?null!=s?s:l[u]:l[f]}}}l.LinearColorMapper=i,i.__name__=\"LinearColorMapper\"},\n      function _(o,r,l){Object.defineProperty(l,\"__esModule\",{value:!0});const i=o(1),t=o(117),e=i.__importStar(o(18));class s extends t.ColorMapper{constructor(o){super(o)}static init_ContinuousColorMapper(){this.define({high:[e.Number],low:[e.Number],high_color:[e.Color],low_color:[e.Color]})}_colors(o){return Object.assign(Object.assign({},super._colors(o)),{low_color:null!=this.low_color?o(this.low_color):void 0,high_color:null!=this.high_color?o(this.high_color):void 0})}}l.ContinuousColorMapper=s,s.__name__=\"ContinuousColorMapper\",s.init_ContinuousColorMapper()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(118),_=n.__importStar(t(18)),i=t(8),l=t(20),c=t(28);function a(t){return i.isNumber(t)?t:(\"#\"!=t[0]&&(t=l.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function s(t){const e=new Uint32Array(t.length);for(let r=0,n=t.length;r<n;r++)e[r]=a(t[r]);return e}function p(t){if(c.is_little_endian){const e=new DataView(t.buffer);for(let r=0,n=t.length;r<n;r++)e.setUint32(4*r,t[r])}return new Uint8Array(t.buffer)}r._convert_color=a,r._convert_palette=s,r._uint32_to_rgba=p;class u extends o.Mapper{constructor(t){super(t)}static init_ColorMapper(){this.define({palette:[_.Any],nan_color:[_.Color,\"gray\"]})}v_compute(t){const e=new Array(t.length);return this._v_compute(t,e,this.palette,this._colors(t=>t)),e}get rgba_mapper(){const t=this,e=s(this.palette),r=this._colors(a);return{v_compute(n){const o=new Uint32Array(n.length);return t._v_compute(n,o,e,r),p(o)}}}_colors(t){return{nan_color:t(this.nan_color)}}}r.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(119);class s extends o.Transform{constructor(e){super(e)}compute(e){throw new Error(\"mapping single values is not supported\")}}n.Mapper=s,s.__name__=\"Mapper\"},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class s extends r.Model{constructor(e){super(e)}}o.Transform=s,s.__name__=\"Transform\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(121);class _ extends r.ContinuousScale{constructor(e){super(e)}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const c=e(122);class s extends c.Scale{constructor(e){super(e)}}o.ContinuousScale=s,s.__name__=\"ContinuousScale\"},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),_=t(123),s=n.__importStar(t(18));class i extends _.Transform{constructor(t){super(t)}static init_Scale(){this.internal({source_range:[s.Any],target_range:[s.Any]})}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=e*t[_]+r;return n}_linear_invert(t){const[e,r]=this._linear_compute_state();return(t-r)/e}_linear_v_invert(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=(t[_]-r)/e;return n}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,r=this.target_range.start,n=(this.target_range.end-r)/(e-t);return[n,-n*t+r]}}r.Scale=i,i.__name__=\"Scale\",i.init_Scale()},\n      function _(r,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=r(124);t.CustomJSTransform=e.CustomJSTransform;var a=r(125);t.Dodge=a.Dodge;var n=r(126);t.Interpolator=n.Interpolator;var p=r(127);t.Jitter=p.Jitter;var l=r(128);t.LinearInterpolator=l.LinearInterpolator;var v=r(129);t.StepInterpolator=v.StepInterpolator;var s=r(119);t.Transform=s.Transform},\n      function _(t,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),e=t(119),a=n.__importStar(t(18)),o=t(17),u=t(24);class i extends e.Transform{constructor(t){super(t)}static init_CustomJSTransform(){this.define({args:[a.Any,{}],func:[a.String,\"\"],v_func:[a.String,\"\"]})}get names(){return o.keys(this.args)}get values(){return o.values(this.args)}_make_transform(t,r){return new Function(...this.names,t,u.use_strict(r))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(t){return this.scalar_transform(...this.values,t)}v_compute(t){return this.vector_transform(...this.values,t)}}s.CustomJSTransform=i,i.__name__=\"CustomJSTransform\",i.init_CustomJSTransform()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(1),o=e(119),i=e(90),s=n.__importStar(e(18)),a=e(8);class c extends o.Transform{constructor(e){super(e)}static init_Dodge(){this.define({value:[s.Number,0],range:[s.Instance]})}v_compute(e){let t;if(this.range instanceof i.FactorRange)t=this.range.v_synthetic(e);else{if(!a.isArrayableOf(e,a.isNumber))throw new Error(\"unexpected\");t=e}const r=new Float64Array(t.length);for(let e=0;e<t.length;e++){const n=t[e];r[e]=this._compute(n)}return r}compute(e){if(this.range instanceof i.FactorRange)return this._compute(this.range.synthetic(e));if(a.isNumber(e))return this._compute(e);throw new Error(\"unexpected\")}_compute(e){return e+this.value}}r.Dodge=c,c.__name__=\"Dodge\",c.init_Dodge()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(119),n=s.__importStar(t(18)),i=t(9),a=t(8);class h extends o.Transform{constructor(t){super(t),this._sorted_dirty=!0}static init_Interpolator(){this.define({x:[n.Any],y:[n.Any],data:[n.Any],clip:[n.Boolean,!0]})}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._sorted_dirty=!0)}v_compute(t){const e=new Float64Array(t.length);for(let r=0;r<t.length;r++){const s=t[r];e[r]=this.compute(s)}return e}sort(t=!1){if(!this._sorted_dirty)return;let e,r;if(a.isString(this.x)&&a.isString(this.y)&&null!=this.data){const t=this.data.columns();if(!i.includes(t,this.x))throw new Error(\"The x parameter does not correspond to a valid column name defined in the data parameter\");if(!i.includes(t,this.y))throw new Error(\"The y parameter does not correspond to a valid column name defined in the data parameter\");e=this.data.get_column(this.x),r=this.data.get_column(this.y)}else{if(!a.isArray(this.x)||!a.isArray(this.y))throw new Error(\"parameters 'x' and 'y' must be both either string fields or arrays\");e=this.x,r=this.y}if(e.length!==r.length)throw new Error(\"The length for x and y do not match\");if(e.length<2)throw new Error(\"x and y must have at least two elements to support interpolation\");const s=[];for(const t in e)s.push({x:e[t],y:r[t]});t?s.sort((t,e)=>t.x>e.x?-1:t.x==e.x?0:1):s.sort((t,e)=>t.x<e.x?-1:t.x==e.x?0:1),this._x_sorted=[],this._y_sorted=[];for(const{x:t,y:e}of s)this._x_sorted.push(t),this._y_sorted.push(e);this._sorted_dirty=!1}}r.Interpolator=h,h.__name__=\"Interpolator\",h.init_Interpolator()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),n=t(119),s=t(90),o=t(8),u=i.__importStar(t(18)),a=i.__importStar(t(10));class h extends n.Transform{constructor(t){super(t)}static init_Jitter(){this.define({mean:[u.Number,0],width:[u.Number,1],distribution:[u.Distribution,\"uniform\"],range:[u.Instance]}),this.internal({previous_values:[u.Array]})}v_compute(t){if(null!=this.previous_values&&this.previous_values.length==t.length)return this.previous_values;let e;if(this.range instanceof s.FactorRange)e=this.range.v_synthetic(t);else{if(!o.isArrayableOf(t,o.isNumber))throw new Error(\"unexpected\");e=t}const r=new Float64Array(e.length);for(let t=0;t<e.length;t++){const i=e[t];r[t]=this._compute(i)}return this.previous_values=r,r}compute(t){if(this.range instanceof s.FactorRange)return this._compute(this.range.synthetic(t));if(o.isNumber(t))return this._compute(t);throw new Error(\"unexpected\")}_compute(t){switch(this.distribution){case\"uniform\":return t+this.mean+(a.random()-.5)*this.width;case\"normal\":return t+a.rnorm(this.mean,this.width)}}}r.Jitter=h,h.__name__=\"Jitter\",h.init_Jitter()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const _=t(9),r=t(126);class o extends r.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=_.find_last_index(this._x_sorted,s=>s<t),e=this._x_sorted[s],r=this._x_sorted[s+1],o=this._y_sorted[s],i=this._y_sorted[s+1];return o+(t-e)/(r-e)*(i-o)}}e.LinearInterpolator=o,o.__name__=\"LinearInterpolator\"},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(126),_=s.__importStar(t(18)),i=t(9);class n extends o.Interpolator{constructor(t){super(t)}static init_StepInterpolator(){this.define({mode:[_.StepMode,\"after\"]})}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=i.find_last_index(this._x_sorted,e=>t>=e);break;case\"before\":e=i.find_index(this._x_sorted,e=>t<=e);break;case\"center\":{const r=this._x_sorted.map(e=>Math.abs(e-t)),s=i.min(r);e=i.find_index(r,t=>s===t);break}default:throw new Error(\"unknown mode: \"+this.mode)}return-1!=e?this._y_sorted[e]:NaN}}r.StepInterpolator=n,n.__name__=\"StepInterpolator\",n.init_StepInterpolator()},\n      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(121);class s extends a.ContinuousScale{constructor(t){super(t)}compute(t){const[e,o,a,s]=this._compute_state();let n;if(0==a)n=0;else{const r=(Math.log(t)-s)/a;n=isFinite(r)?r*e+o:NaN}return n}v_compute(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);if(0==a)for(let e=0;e<t.length;e++)n[e]=0;else for(let r=0;r<t.length;r++){const l=(Math.log(t[r])-s)/a;let c;c=isFinite(l)?l*e+o:NaN,n[r]=c}return n}invert(t){const[e,o,a,s]=this._compute_state(),n=(t-o)/e;return Math.exp(a*n+s)}v_invert(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);for(let r=0;r<t.length;r++){const l=(t[r]-o)/e;n[r]=Math.exp(a*l+s)}return n}_get_safe_factor(t,e){let o=t<0?0:t,a=e<0?0:e;if(o==a)if(0==o)[o,a]=[1,10];else{const t=Math.log(o)/Math.log(10);o=10**Math.floor(t),a=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[o,a]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,o=this.target_range.start,a=this.target_range.end-o,[s,n]=this._get_safe_factor(t,e);let r,l;return 0==s?(r=Math.log(n),l=0):(r=Math.log(n)-Math.log(s),l=Math.log(s)),[a,o,r,l]}}o.LogScale=s,s.__name__=\"LogScale\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(91),r=i.__importStar(t(18));class a extends n.Range{constructor(t){super(t)}static init_Range1d(){this.define({start:[r.Number,0],end:[r.Number,1],reset_start:[r.Number],reset_end:[r.Number]})}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this.reset_start,this.reset_end),e=Math.max(this.reset_start,this.reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),null==this.reset_start&&(this.reset_start=this.start),null==this.reset_end&&(this.reset_end=this.end),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds(),this.start!=this.reset_start||this.end!=this.reset_end?this.setv({start:this.reset_start,end:this.reset_end}):this.change.emit()}}s.Range1d=a,a.__name__=\"Range1d\",a.init_Range1d()},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=t(68),i=new Map;n.measure_font=function(t){const e=i.get(t);if(null!=e)return e;const n=o.span({style:{font:t}},\"Hg\"),l=o.div({style:{display:\"inline-block\",width:\"1px\",height:\"0px\"}}),s=o.div({},n,l);document.body.appendChild(s);try{l.style.verticalAlign=\"baseline\";const e=o.offset(l).top-o.offset(n).top;l.style.verticalAlign=\"bottom\";const d=o.offset(l).top-o.offset(n).top,c={height:d,ascent:e,descent:d-e};return i.set(t,c),c}finally{document.body.removeChild(s)}};const l=new Map;n.measure_text=function(t,e){let n=l.get(e);if(null!=n){const e=n.get(t);if(null!=e)return e}else n=new Map,l.set(e,n);const i=o.div({style:{display:\"inline-block\",\"white-space\":\"nowrap\",font:e}},t);document.body.appendChild(i);try{const{width:e,height:o}=i.getBoundingClientRect();return n.set(t,{width:e,height:o}),{width:e,height:o}}finally{document.body.removeChild(i)}}},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(134),l=e(68),n=s.__importStar(e(23)),o=s.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.warm_cache()}_get_size(){const{ctx:e}=this.layer;this.visuals.text.set_value(e);const{width:t,ascent:i}=e.measureText(this.model.text);return{width:t,height:i}}render(){if(this.model.visible||\"css\"!=this.model.render_mode||l.undisplay(this.el),!this.model.visible)return;let e;switch(this.model.angle_units){case\"rad\":e=-this.model.angle;break;case\"deg\":e=-this.model.angle*Math.PI/180}const t=null!=this.panel?this.panel:this.plot_view.frame,i=this.plot_view.frame.xscales[this.model.x_range_name],s=this.plot_view.frame.yscales[this.model.y_range_name];let a=\"data\"==this.model.x_units?i.compute(this.model.x):t.xview.compute(this.model.x),n=\"data\"==this.model.y_units?s.compute(this.model.y):t.yview.compute(this.model.y);a+=this.model.x_offset,n-=this.model.y_offset,(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,a,n,e)}}i.LabelView=_,_.__name__=\"LabelView\";class r extends a.TextAnnotation{constructor(e){super(e)}static init_Label(){this.prototype.default_view=_,this.mixins([n.Text,[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({x:[o.Number],x_units:[o.SpatialUnits,\"data\"],y:[o.Number],y_units:[o.SpatialUnits,\"data\"],text:[o.String],angle:[o.Angle,0],angle_units:[o.AngleUnits,\"rad\"],x_offset:[o.Number,0],y_offset:[o.Number,0],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}i.Label=r,r.__name__=\"Label\",r.init_Label()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=e(31),a=e(68),n=i.__importStar(e(18)),o=e(132),r=e(11);class _ extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&this.plot_view.canvas_view.add_overlay(this.el)}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,()=>this.render()):this.connect(this.model.change,()=>this.plot_view.request_render())}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=o.measure_font(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let l,a;switch(e.textAlign){case\"left\":l=0;break;case\"center\":l=-s/2;break;case\"right\":l=-s;break;default:r.unreachable()}switch(e.textBaseline){case\"top\":a=0;break;case\"middle\":a=-.5*i;break;case\"bottom\":a=-1*i;break;case\"alphabetic\":a=-.8*i;break;case\"hanging\":a=-.17*i;break;case\"ideographic\":a=-.83*i;break;default:r.unreachable()}return[l,a,s,i]}_canvas_text(e,t,s,i,l){this.visuals.text.set_value(e);const a=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),l&&e.rotate(l),e.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,l){a.undisplay(this.el),this.visuals.text.set_value(e);const n=this._calculate_bounding_box_dimensions(e,t),o=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_value(e),this.visuals.background_fill.set_value(e),this.el.style.position=\"absolute\",this.el.style.left=s+n[0]+\"px\",this.el.style.top=i+n[1]+\"px\",this.el.style.color=\"\"+this.visuals.text.text_color.value(),this.el.style.opacity=\"\"+this.visuals.text.text_alpha.value(),this.el.style.font=\"\"+this.visuals.text.font_value(),this.el.style.lineHeight=\"normal\",l&&(this.el.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(this.el.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(this.el.style.borderStyle=\"\"+o,this.el.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",this.el.style.borderColor=\"\"+this.visuals.border_line.color_value()),this.el.textContent=t,a.display(this.el)}}s.TextAnnotationView=_,_.__name__=\"TextAnnotationView\";class h extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define({render_mode:[n.RenderMode,\"canvas\"]})}}s.TextAnnotation=h,h.__name__=\"TextAnnotation\",h.init_TextAnnotation()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(134),o=t(76),a=i.__importStar(t(23)),n=t(68),r=i.__importStar(t(18));class _ extends l.TextAnnotationView{initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this._text.length;t<e;t++){const t=n.div({style:{display:\"none\"}});this.el.appendChild(t)}}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.render()})):(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}))}set_data(t){super.set_data(t),this.visuals.warm_cache(t)}_map_data(){const t=this.plot_view.frame.xscales[this.model.x_range_name],e=this.plot_view.frame.yscales[this.model.y_range_name],s=null!=this.panel?this.panel:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.yview.v_compute(this._y)]}render(){if(this.model.visible||\"css\"!=this.model.render_mode||n.undisplay(this.el),!this.model.visible)return;const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer,[s,i]=this._map_data();for(let l=0,o=this._text.length;l<o;l++)t(e,l,this._text[l],s[l]+this._x_offset[l],i[l]-this._y_offset[l],this._angle[l])}_get_size(){const{ctx:t}=this.layer;this.visuals.text.set_value(t);const{width:e,ascent:s}=t.measureText(this._text[0]);return{width:e,height:s}}_v_canvas_text(t,e,s,i,l,o){this.visuals.text.set_vectorize(t,e);const a=this._calculate_bounding_box_dimensions(t,s);t.save(),t.beginPath(),t.translate(i,l),t.rotate(o),t.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),t.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),t.stroke()),this.visuals.text.doit&&(this.visuals.text.set_vectorize(t,e),t.fillText(s,0,0)),t.restore()}_v_css_text(t,e,s,i,l,o){const a=this.el.children[e];a.textContent=s,this.visuals.text.set_vectorize(t,e);const r=this._calculate_bounding_box_dimensions(t,s),_=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_vectorize(t,e),this.visuals.background_fill.set_vectorize(t,e),a.style.position=\"absolute\",a.style.left=i+r[0]+\"px\",a.style.top=l+r[1]+\"px\",a.style.color=\"\"+this.visuals.text.text_color.value(),a.style.opacity=\"\"+this.visuals.text.text_alpha.value(),a.style.font=\"\"+this.visuals.text.font_value(),a.style.lineHeight=\"normal\",o&&(a.style.transform=`rotate(${o}rad)`),this.visuals.background_fill.doit&&(a.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(a.style.borderStyle=\"\"+_,a.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",a.style.borderColor=\"\"+this.visuals.border_line.color_value()),n.display(a)}}s.LabelSetView=_,_.__name__=\"LabelSetView\";class h extends l.TextAnnotation{constructor(t){super(t)}static init_LabelSet(){this.prototype.default_view=_,this.mixins([a.TextVector,[\"border_\",a.LineVector],[\"background_\",a.FillVector]]),this.define({x:[r.NumberSpec],y:[r.NumberSpec],x_units:[r.SpatialUnits,\"data\"],y_units:[r.SpatialUnits,\"data\"],text:[r.StringSpec,{field:\"text\"}],angle:[r.AngleSpec,0],x_offset:[r.NumberSpec,{value:0}],y_offset:[r.NumberSpec,{value:0}],source:[r.Instance,()=>new o.ColumnDataSource],x_range_name:[r.String,\"default\"],y_range_name:[r.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=h,h.__name__=\"LabelSet\",h.init_LabelSet()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(31),n=s.__importStar(t(23)),h=s.__importStar(t(18)),a=t(14),o=t(132),_=t(88),r=t(9),d=t(8),c=t(11);class g extends l.AnnotationView{cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.visuals.border_line.line_color.value()?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.item_change,()=>this.plot_view.request_render())}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:s,label_width:l}=this.model;this.max_label_height=r.max([o.measure_font(this.visuals.label_text.font_value()).height,s,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,r.max([n.measureText(e).width,l]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?o.measure_font(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const h=Math.max(r.max([...this.text_widths.values()]),0),a=this.model.margin,{legend_padding:g}=this,m=this.model.spacing,{label_standoff:b}=this.model;let u,f;if(\"vertical\"==this.model.orientation)u=t.length*this.max_label_height+Math.max(t.length-1,0)*m+2*g+this.title_height,f=r.max([h+i+b+2*g,this.title_width+2*g]);else{let e=2*g+Math.max(t.length-1,0)*m;for(const[,t]of this.text_widths)e+=r.max([t,l])+i+b;f=r.max([this.title_width+2*g,e]),u=this.max_label_height+this.title_height+2*g}const x=null!=this.panel?this.panel:this.plot_view.frame,[p,v]=x.bbox.ranges,{location:w}=this.model;let y,k;if(d.isString(w))switch(w){case\"top_left\":y=p.start+a,k=v.start+a;break;case\"top_center\":y=(p.end+p.start)/2-f/2,k=v.start+a;break;case\"top_right\":y=p.end-a-f,k=v.start+a;break;case\"bottom_right\":y=p.end-a-f,k=v.end-a-u;break;case\"bottom_center\":y=(p.end+p.start)/2-f/2,k=v.end-a-u;break;case\"bottom_left\":y=p.start+a,k=v.end-a-u;break;case\"center_left\":y=p.start+a,k=(v.end+v.start)/2-u/2;break;case\"center\":y=(p.end+p.start)/2-f/2,k=(v.end+v.start)/2-u/2;break;case\"center_right\":y=p.end-a-f,k=(v.end+v.start)/2-u/2}else if(d.isArray(w)&&2==w.length){const[t,e]=w;y=x.xview.compute(t),k=x.yview.compute(e)-u}else c.unreachable();return new _.BBox({left:y,top:k,width:f,height:u})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=i=l;const o=this.compute_legend_bbox(),r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop();for(const g of c){const c=o.x+a,m=o.y+i+this.title_height;let b,u;if([b,u]=r?[o.width-2*l,this.max_label_height]:[this.text_widths.get(g)+s+h,this.max_label_height],new _.BBox({left:c,top:m,width:b,height:u}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of d.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of d.renderers)t.muted=!t.muted}return!0}r?i+=this.max_label_height+n:a+=this.text_widths.get(g)+s+h+n}}return!1}render(){if(!this.model.visible)return;if(0==this.model.items.length)return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this.model.title&&this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=l,o=l;const _=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop(),g=d.get_field_from_label_prop();if(0==c.length)continue;const m=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return r.every(d.renderers,t=>t.visible);case\"mute\":return r.every(d.renderers,t=>!t.muted)}})();for(const r of c){const c=e.x+a,b=e.y+o+this.title_height,u=c+i,f=b+s;_?o+=this.max_label_height+n:a+=this.text_widths.get(r)+i+h+n,this.visuals.label_text.set_value(t),t.fillText(r,u+h,b+this.max_label_height/2);for(const e of d.renderers){this.plot_view.renderer_views.get(e).draw_legend(t,c,u,b,f,g,r,d.index)}if(!m){let s,n;[s,n]=_?[e.width-2*l,this.max_label_height]:[this.text_widths.get(r)+i+h,this.max_label_height],t.beginPath(),t.rect(c,b,s,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(this.model.title,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=g,g.__name__=\"LegendView\";class m extends l.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new a.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=g,this.mixins([[\"label_\",n.Text],[\"title_\",n.Text],[\"inactive_\",n.Fill],[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({orientation:[h.Orientation,\"vertical\"],location:[h.Any,\"top_right\"],title:[h.String],title_standoff:[h.Number,5],label_standoff:[h.Number,5],glyph_height:[h.Number,20],glyph_width:[h.Number,20],label_height:[h.Number,20],label_width:[h.Number,20],margin:[h.Number,10],padding:[h.Number,10],spacing:[h.Number,3],items:[h.Array,[]],click_policy:[h.Any,\"none\"]}),this.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=m,m.__name__=\"Legend\",m.init_Legend()},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),l=e(71),i=e(77),s=e(138),_=t.__importStar(e(18)),o=e(72),a=e(9);class u extends l.Model{constructor(e){super(e)}static init_LegendItem(){this.define({label:[_.StringSpec,null],renderers:[_.Array,[]],index:[_.Number,null]})}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!a.includes(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,()=>{null!=this.legend&&this.legend.item_change.emit()}),this._check_data_sources_on_renderers()||o.logger.error(\"Non matching data sources on legend item renderers\"),this._check_field_label_on_data_source()||o.logger.error(\"Bad column name on label: \"+this.label)}get_field_from_label_prop(){const{label:e}=this;return s.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(s.isValue(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof i.ColumnarDataSource){const n=r.get_column(e);return null!=n?a.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=u,u.__name__=\"LegendItem\",u.init_LegendItem()},\n      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(8);n.isValue=function(e){return t.isPlainObject(e)&&\"value\"in e},n.isField=function(e){return t.isPlainObject(e)&&\"field\"in e}},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(31),l=n.__importStar(t(23)),o=t(14),a=n.__importStar(t(18));class r extends s.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render())}render(){if(!this.model.visible)return;const{xs:t,ys:e}=this.model;if(t.length!=e.length)return;if(t.length<3||e.length<3)return;const{frame:i}=this.plot_view,{ctx:n}=this.layer;for(let s=0,l=t.length;s<l;s++){let l,o;if(\"screen\"!=this.model.xs_units)throw new Error(\"not implemented\");if(l=this.model.screen?t[s]:i.xview.compute(t[s]),\"screen\"!=this.model.ys_units)throw new Error(\"not implemented\");o=this.model.screen?e[s]:i.yview.compute(e[s]),0==s?(n.beginPath(),n.moveTo(l,o)):n.lineTo(l,o)}n.closePath(),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill())}}i.PolyAnnotationView=r,r.__name__=\"PolyAnnotationView\";class _ extends s.Annotation{constructor(t){super(t)}static init_PolyAnnotation(){this.prototype.default_view=r,this.mixins([l.Line,l.Fill]),this.define({xs:[a.Array,[]],xs_units:[a.SpatialUnits,\"data\"],ys:[a.Array,[]],ys_units:[a.SpatialUnits,\"data\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.internal({screen:[a.Boolean,!1]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({xs:t,ys:e}){this.setv({xs:t,ys:e,screen:!0},{silent:!0}),this.data_update.emit()}}i.PolyAnnotation=_,_.__name__=\"PolyAnnotation\",_.init_PolyAnnotation()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(31),l=n.__importStar(e(23)),o=n.__importStar(e(18));class r extends s.AnnotationView{initialize(){super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render())}render(){this.model.visible&&this._draw_slope()}_draw_slope(){const e=this.model.gradient,t=this.model.y_intercept;if(null==e||null==t)return;const{frame:i}=this.plot_view,n=i.xscales[this.model.x_range_name],s=i.yscales[this.model.y_range_name],l=i._top.value,o=l+i._height.value,r=(s.invert(l)-t)/e,a=(s.invert(o)-t)/e,_=n.compute(r),c=n.compute(a),{ctx:u}=this.layer;u.save(),u.beginPath(),this.visuals.line.set_value(u),u.moveTo(_,l),u.lineTo(c,o),u.stroke(),u.restore()}}i.SlopeView=r,r.__name__=\"SlopeView\";class a extends s.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=r,this.mixins(l.Line),this.define({gradient:[o.Number,null],y_intercept:[o.Number,null],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({line_color:\"black\"})}}i.Slope=a,a.__name__=\"Slope\",a.init_Slope()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),o=e(31),s=n.__importStar(e(23)),a=n.__importStar(e(18));class l extends o.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],n=t.yscales[this.model.y_range_name],o=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,a,l,r;\"width\"==this.model.dimension?(l=o(n,t.yview),a=t._left.value,r=t._width.value,s=this.model.properties.line_width.value()):(l=t._top.value,a=o(i,t.xview),r=this.model.properties.line_width.value(),s=t._height.value);const{ctx:_}=this.layer;_.save(),_.beginPath(),this.visuals.line.set_value(_),_.moveTo(a,l),\"width\"==this.model.dimension?_.lineTo(a+r,l):_.lineTo(a,l+s),_.stroke(),_.restore()}}i.SpanView=l,l.__name__=\"SpanView\";class r extends o.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=l,this.mixins(s.Line),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],location:[a.Number,null],location_units:[a.SpatialUnits,\"data\"],dimension:[a.Dimension,\"width\"]}),this.override({line_color:\"black\"}),this.internal({for_hover:[a.Boolean,!1]})}}i.Span=r,r.__name__=\"Span\",r.init_Span()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1),a=e(134),s=e(68),n=e(70),o=l.__importStar(e(23)),r=l.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.text=new n.Text(this.model)}_get_location(){const e=this.panel,t=this.model.offset;let i,l;switch(e.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":l=e._top.value+5;break;case\"middle\":l=e._vcenter.value;break;case\"bottom\":l=e._bottom.value-5}switch(this.model.align){case\"left\":i=e._left.value+t;break;case\"center\":i=e._hcenter.value;break;case\"right\":i=e._right.value-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=e._left.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._right.value+5}switch(this.model.align){case\"left\":l=e._bottom.value-t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._top.value+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=e._right.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._left.value+5}switch(this.model.align){case\"left\":l=e._top.value+t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._bottom.value-t}}return[i,l]}render(){if(!this.model.visible)return void(\"css\"==this.model.render_mode&&s.undisplay(this.el));const{text:e}=this.model;if(null==e||0==e.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[t,i]=this._get_location(),l=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,e,t,i,l)}_get_size(){const{text:e}=this.model;if(null==e||0==e.length)return{width:0,height:0};{this.visuals.text.set_value(this.layer.ctx);const{width:t,ascent:i}=this.layer.ctx.measureText(e);return{width:t,height:i*this.visuals.text.text_line_height.value()+10}}}}i.TitleView=_,_.__name__=\"TitleView\";class c extends a.TextAnnotation{constructor(e){super(e)}static init_Title(){this.prototype.default_view=_,this.mixins([[\"border_\",o.Line],[\"background_\",o.Fill]]),this.define({text:[r.String],text_font:[r.Font,\"helvetica\"],text_font_size:[r.StringSpec,\"13px\"],text_font_style:[r.FontStyle,\"bold\"],text_color:[r.ColorSpec,\"#444444\"],text_alpha:[r.NumberSpec,1],text_line_height:[r.Number,1],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[r.Number,0]}),this.override({background_fill_color:null,border_line_color:null}),this.internal({text_align:[r.TextAlign,\"left\"],text_baseline:[r.TextBaseline,\"bottom\"]})}}i.Title=c,c.__name__=\"Title\",c.init_Title()},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(31),s=e(99),a=e(68),n=o.__importStar(e(18));class r extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){this._toolbar_view=await s.build_view(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push(e=>this._toolbar_view.set_visibility(e))}remove(){this._toolbar_view.remove(),super.remove()}render(){super.render(),this.model.visible?(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",a.position(this.el,this.panel.bbox),this._toolbar_view.render(),a.empty(this.el),this.el.appendChild(this._toolbar_view.el),a.display(this.el)):a.undisplay(this.el)}_get_size(){const{tools:e,logo:i}=this.model.toolbar;return{width:30*e.length+(null!=i?25:0),height:30}}}t.ToolbarPanelView=r,r.__name__=\"ToolbarPanelView\";class _ extends l.Annotation{constructor(e){super(e)}static init_ToolbarPanel(){this.prototype.default_view=r,this.define({toolbar:[n.Instance]})}}t.ToolbarPanel=_,_.__name__=\"ToolbarPanel\",_.init_ToolbarPanel()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(31),o=t(68),a=i.__importStar(t(18)),h=t(145),n=t(146),r=i.__importDefault(t(147));function c(t,e,s,i,l){switch(t){case\"horizontal\":return e<i?\"right\":\"left\";case\"vertical\":return s<l?\"below\":\"above\";default:return t}}s.compute_side=c;class d extends l.AnnotationView{initialize(){super.initialize(),this.plot_view.canvas_view.add_overlay(this.el),o.undisplay(this.el)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>this._draw_tips())}styles(){return[...super.styles(),r.default]}css_classes(){return super.css_classes().concat(h.bk_tooltip)}render(){this.model.visible&&this._draw_tips()}_draw_tips(){const{data:t}=this.model;if(o.empty(this.el),o.undisplay(this.el),this.model.custom?this.el.classList.add(h.bk_tooltip_custom):this.el.classList.remove(h.bk_tooltip_custom),0==t.length)return;const{frame:e}=this.plot_view;for(const[s,i,l]of t){if(this.model.inner_only&&!e.bbox.contains(s,i))continue;const t=o.div({},l);this.el.appendChild(t)}const[s,i]=t[t.length-1],l=c(this.model.attachment,s,i,e._hcenter.value,e._vcenter.value);this.el.classList.remove(n.bk_right),this.el.classList.remove(n.bk_left),this.el.classList.remove(n.bk_above),this.el.classList.remove(n.bk_below);let a;o.display(this.el);let r=0,d=0;switch(l){case\"right\":this.el.classList.add(n.bk_left),r=s+(this.el.offsetWidth-this.el.clientWidth)+10,a=i-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(n.bk_right),d=this.plot_view.layout.bbox.width-s+10,a=i-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(n.bk_above),a=i+(this.el.offsetHeight-this.el.clientHeight)+10,r=Math.round(s-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(n.bk_below),a=i-this.el.offsetHeight-10,r=Math.round(s-this.el.offsetWidth/2)}this.model.show_arrow&&this.el.classList.add(h.bk_tooltip_arrow),this.el.childNodes.length>0?(this.el.style.top=a+\"px\",this.el.style.left=r?r+\"px\":\"auto\",this.el.style.right=d?d+\"px\":\"auto\"):o.undisplay(this.el)}}s.TooltipView=d,d.__name__=\"TooltipView\";class _ extends l.Annotation{constructor(t){super(t)}static init_Tooltip(){this.prototype.default_view=d,this.define({attachment:[a.TooltipAttachment,\"horizontal\"],inner_only:[a.Boolean,!0],show_arrow:[a.Boolean,!0]}),this.override({level:\"overlay\"}),this.internal({data:[a.Any,[]],custom:[a.Any]})}clear(){this.data=[]}add(t,e,s){this.data=this.data.concat([[t,e,s]])}}s.Tooltip=_,_.__name__=\"Tooltip\",_.init_Tooltip()},\n      function _(o,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tooltip=\"bk-tooltip\",l.bk_tooltip_arrow=\"bk-tooltip-arrow\",l.bk_tooltip_custom=\"bk-tooltip-custom\",l.bk_tooltip_row_label=\"bk-tooltip-row-label\",l.bk_tooltip_row_value=\"bk-tooltip-row-value\",l.bk_tooltip_color_block=\"bk-tooltip-color-block\"},\n      function _(e,b,k){Object.defineProperty(k,\"__esModule\",{value:!0}),k.bk_active=\"bk-active\",k.bk_inline=\"bk-inline\",k.bk_left=\"bk-left\",k.bk_right=\"bk-right\",k.bk_above=\"bk-above\",k.bk_below=\"bk-below\",k.bk_up=\"bk-up\",k.bk_down=\"bk-down\",k.bk_side=function(e){switch(e){case\"above\":return k.bk_above;case\"below\":return k.bk_below;case\"left\":return k.bk_left;case\"right\":return k.bk_right}}},\n      function _(o,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root {\\n  /* Same border color used everywhere */\\n  /* Gray of icons */\\n}\\n.bk-root .bk-tooltip {\\n  font-weight: 300;\\n  font-size: 12px;\\n  position: absolute;\\n  padding: 5px;\\n  border: 1px solid #e5e5e5;\\n  color: #2f2f2f;\\n  background-color: white;\\n  pointer-events: none;\\n  opacity: 0.95;\\n  z-index: 100;\\n}\\n.bk-root .bk-tooltip > div:not(:first-child) {\\n  /* gives space when multiple elements are being hovered over */\\n  margin-top: 5px;\\n  border-top: #e5e5e5 1px dashed;\\n}\\n.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-left::before {\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right::after {\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-above::before {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  top: -10px;\\n  border-bottom-width: 10px;\\n  border-bottom-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-below::after {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  bottom: -10px;\\n  border-top-width: 10px;\\n  border-top-color: #909599;\\n}\\n.bk-root .bk-tooltip-row-label {\\n  text-align: right;\\n  color: #26aae1;\\n  /* blue from toolbar highlighting */\\n}\\n.bk-root .bk-tooltip-row-value {\\n  color: default;\\n  /* seems to be necessary for notebook */\\n}\\n.bk-root .bk-tooltip-color-block {\\n  width: 12px;\\n  height: 12px;\\n  margin-left: 5px;\\n  margin-right: 5px;\\n  outline: #dddddd solid 1px;\\n  display: inline-block;\\n}\\n'},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(31),o=e(76),a=e(75),n=e(23),h=i.__importStar(e(18));class _ extends r.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],r=\"height\"==t?i:s,o=\"height\"==t?s:i,a=\"height\"==t?e.yview:e.xview,n=\"height\"==t?e.xview:e.yview;let h,_,l;h=\"data\"==this.model.properties.lower.units?r.v_compute(this._lower):a.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?r.v_compute(this._upper):a.v_compute(this._upper),l=\"data\"==this.model.properties.base.units?o.v_compute(this._base):n.v_compute(this._base);const[d,p]=\"height\"==t?[1,0]:[0,1],c=[h,l],u=[_,l];this._lower_sx=c[d],this._lower_sy=c[p],this._upper_sx=u[d],this._upper_sy=u[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;t<s;t++)this.visuals.line.set_vectorize(e,t),e.beginPath(),e.moveTo(this._lower_sx[t],this._lower_sy[t]),e.lineTo(this._upper_sx[t],this._upper_sy[t]),e.stroke();const t=\"height\"==this.model.dimension?0:Math.PI/2;if(null!=this.model.lower_head)for(let s=0,i=this._lower_sx.length;s<i;s++)e.save(),e.translate(this._lower_sx[s],this._lower_sy[s]),e.rotate(t+Math.PI),this.model.lower_head.render(e,s),e.restore();if(null!=this.model.upper_head)for(let s=0,i=this._upper_sx.length;s<i;s++)e.save(),e.translate(this._upper_sx[s],this._upper_sy[s]),e.rotate(t),this.model.upper_head.render(e,s),e.restore()}}s.WhiskerView=_,_.__name__=\"WhiskerView\";class l extends r.Annotation{constructor(e){super(e)}static init_Whisker(){this.prototype.default_view=_,this.mixins(n.LineVector),this.define({lower:[h.DistanceSpec],lower_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],upper:[h.DistanceSpec],upper_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],base:[h.DistanceSpec],dimension:[h.Dimension,\"height\"],source:[h.Instance,()=>new o.ColumnDataSource],x_range_name:[h.String,\"default\"],y_range_name:[h.String,\"default\"]}),this.override({level:\"underlay\"})}}s.Whisker=l,l.__name__=\"Whisker\",l.init_Whisker()},\n      function _(i,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});var r=i(150);e.Axis=r.Axis;var s=i(152);e.CategoricalAxis=s.CategoricalAxis;var x=i(155);e.ContinuousAxis=x.ContinuousAxis;var A=i(156);e.DatetimeAxis=A.DatetimeAxis;var o=i(157);e.LinearAxis=o.LinearAxis;var t=i(170);e.LogAxis=t.LogAxis;var n=i(173);e.MercatorAxis=n.MercatorAxis},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(151),l=s.__importStar(e(23)),n=s.__importStar(e(18)),o=e(9),r=e(8),_=e(90),{abs:h,min:c,max:m}=Math;class d extends a.GuideRendererView{constructor(){super(...arguments),this.rotate=!0}get panel(){return this.layout}render(){if(!this.model.visible)return;const e={tick:this._tick_extent(),tick_label:this._tick_label_extents(),axis_label:this._axis_label_extent()},t=this.tick_coords,i=this.layer.ctx;i.save(),this._draw_rule(i,e),this._draw_major_ticks(i,e,t),this._draw_minor_ticks(i,e,t),this._draw_major_labels(i,e,t),this._draw_axis_label(i,e,t),null!=this._render&&this._render(i,e,t),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint());const e=this.model.properties;this.on_change(e.visible,()=>this.plot_view.request_layout())}get_size(){if(this.model.visible&&null==this.model.fixed_location){const e=this._get_size();return{width:0,height:Math.round(e)}}return{width:0,height:0}}_get_size(){return this._tick_extent()+this._tick_label_extent()+this._axis_label_extent()}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(e,t){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,l]=this.plot_view.map_to_screen(i,s,this.model.x_range_name,this.model.y_range_name),[n,o]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(e),e.beginPath(),e.moveTo(Math.round(a[0]+n*r),Math.round(l[0]+o*_));for(let t=1;t<a.length;t++){const i=Math.round(a[t]+n*r),s=Math.round(l[t]+o*_);e.lineTo(i,s)}e.stroke()}_draw_major_ticks(e,t,i){const s=this.model.major_tick_in,a=this.model.major_tick_out,l=this.visuals.major_tick_line;this._draw_ticks(e,i.major,s,a,l)}_draw_minor_ticks(e,t,i){const s=this.model.minor_tick_in,a=this.model.minor_tick_out,l=this.visuals.minor_tick_line;this._draw_ticks(e,i.minor,s,a,l)}_draw_major_labels(e,t,i){const s=i.major,a=this.compute_labels(s[this.dimension]),l=this.model.major_label_orientation,n=t.tick+this.model.major_label_standoff,o=this.visuals.major_label_text;this._draw_oriented_labels(e,a,s,l,this.panel.side,n,o)}_draw_axis_label(e,t,i){if(null==this.model.axis_label||0==this.model.axis_label.length||null!=this.model.fixed_location)return;let s,a;switch(this.panel.side){case\"above\":s=this.panel._hcenter.value,a=this.panel._bottom.value;break;case\"below\":s=this.panel._hcenter.value,a=this.panel._top.value;break;case\"left\":s=this.panel._right.value,a=this.panel._vcenter.value;break;case\"right\":s=this.panel._left.value,a=this.panel._vcenter.value;break;default:throw new Error(\"unknown side: \"+this.panel.side)}const l=[[s],[a]],n=t.tick+o.sum(t.tick_label)+this.model.axis_label_standoff,r=this.visuals.axis_label_text;this._draw_oriented_labels(e,[this.model.axis_label],l,\"parallel\",this.panel.side,n,r,\"screen\")}_draw_ticks(e,t,i,s,a){if(!a.doit)return;const[l,n]=t,[o,r]=this.plot_view.map_to_screen(l,n,this.model.x_range_name,this.model.y_range_name),[_,h]=this.normals,[c,m]=this.offsets,[d,u]=[_*(c-i),h*(m-i)],[b,x]=[_*(c+s),h*(m+s)];a.set_value(e);for(let t=0;t<o.length;t++){const i=Math.round(o[t]+b),s=Math.round(r[t]+x),a=Math.round(o[t]+d),l=Math.round(r[t]+u);e.beginPath(),e.moveTo(i,s),e.lineTo(a,l),e.stroke()}}_draw_oriented_labels(e,t,i,s,a,l,n,o=\"data\"){if(!n.doit||0==t.length)return;let _,h,c,m;if(\"screen\"==o)[_,h]=i,[c,m]=[0,0];else{const[e,t]=i;[_,h]=this.plot_view.map_to_screen(e,t,this.model.x_range_name,this.model.y_range_name),[c,m]=this.offsets}const[d,u]=this.normals,b=d*(c+l),x=u*(m+l);let f;n.set_value(e),this.panel.apply_label_text_heuristics(e,s),f=r.isString(s)?this.panel.get_label_angle_heuristic(s):-s;for(let i=0;i<_.length;i++){const s=Math.round(_[i]+b),a=Math.round(h[i]+x);e.translate(s,a),e.rotate(f),e.fillText(t[i],0,0),e.rotate(-f),e.translate(-s,-a)}}_axis_label_extent(){if(null==this.model.axis_label||\"\"==this.model.axis_label)return 0;const e=this.model.axis_label_standoff,t=this.visuals.axis_label_text;return this._oriented_labels_extent([this.model.axis_label],\"parallel\",this.panel.side,e,t)}_tick_extent(){return this.model.major_tick_out}_tick_label_extent(){return o.sum(this._tick_label_extents())}_tick_label_extents(){const e=this.tick_coords.major,t=this.compute_labels(e[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(t,i,this.panel.side,s,a)]}_oriented_labels_extent(e,t,i,s,a){if(0==e.length)return 0;const l=this.layer.ctx;let n,o;a.set_value(l),r.isString(t)?(n=1,o=this.panel.get_label_angle_heuristic(t)):(n=2,o=-t),o=Math.abs(o);const _=Math.cos(o),h=Math.sin(o);let c=0;for(let t=0;t<e.length;t++){const s=1.1*l.measureText(e[t]).width,a=.9*l.measureText(e[t]).ascent;let o;o=\"above\"==i||\"below\"==i?s*h+a/n*_:s*_+a/n*h,o>c&&(c=o)}return c>0&&(c+=s),c}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(e){const t=this.model.formatter.doFormat(e,this);for(let i=0;i<e.length;i++)e[i]in this.model.major_label_overrides&&(t[i]=this.model.major_label_overrides[e[i]]);return t}get offsets(){if(null!=this.model.fixed_location)return[0,0];const{frame:e}=this.plot_view;let[t,i]=[0,0];switch(this.panel.side){case\"below\":i=h(this.panel._top.value-e._bottom.value);break;case\"above\":i=h(this.panel._bottom.value-e._top.value);break;case\"right\":t=h(this.panel._left.value-e._right.value);break;case\"left\":t=h(this.panel._right.value-e._left.value)}return[t,i]}get ranges(){const e=this.dimension,t=(e+1)%2,{frame:i}=this.plot_view,s=[i.x_ranges[this.model.x_range_name],i.y_ranges[this.model.y_range_name]];return[s[e],s[t]]}get computed_bounds(){const[e]=this.ranges,t=this.model.bounds,i=[e.min,e.max];if(\"auto\"==t)return[e.min,e.max];if(r.isArray(t)){let e,s;const[a,l]=t,[n,o]=i;return h(a-l)>h(n-o)?(e=m(c(a,l),n),s=c(m(a,l),o)):(e=c(a,l),s=m(a,l)),[e,s]}throw new Error(`user bounds '${t}' not understood`)}get rule_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=[new Array(2),new Array(2)];return l[e][0]=Math.max(s,i.min),l[e][1]=Math.min(a,i.max),l[e][0]>l[e][1]&&(l[e][0]=l[e][1]=NaN),l[t][0]=this.loc,l[t][1]=this.loc,l}get tick_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=this.model.ticker.get_ticks(s,a,i,this.loc,{}),n=l.major,o=l.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;i<n.length;i++)n[i]<h||n[i]>c||(r[e].push(n[i]),r[t].push(this.loc));for(let i=0;i<o.length;i++)o[i]<h||o[i]>c||(_[e].push(o[i]),_[t].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:e}=this.model;if(null!=e){if(r.isNumber(e))return e;const[,t]=this.ranges;if(t instanceof _.FactorRange)return t.synthetic(e);throw new Error(\"unexpected\")}const[,t]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return t.start;case\"right\":case\"above\":return t.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}}i.AxisView=d,d.__name__=\"AxisView\";class u extends a.GuideRenderer{constructor(e){super(e)}static init_Axis(){this.prototype.default_view=d,this.mixins([[\"axis_\",l.Line],[\"major_tick_\",l.Line],[\"minor_tick_\",l.Line],[\"major_label_\",l.Text],[\"axis_label_\",l.Text]]),this.define({bounds:[n.Any,\"auto\"],ticker:[n.Instance],formatter:[n.Instance],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"],axis_label:[n.String,\"\"],axis_label_standoff:[n.Int,5],major_label_standoff:[n.Int,5],major_label_orientation:[n.Any,\"horizontal\"],major_label_overrides:[n.Any,{}],major_tick_in:[n.Number,2],major_tick_out:[n.Number,6],minor_tick_in:[n.Number,0],minor_tick_out:[n.Number,4],fixed_location:[n.Any,null]}),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})}}i.Axis=u,u.__name__=\"Axis\",u.init_Axis()},\n      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});const i=e(65);class n extends i.RendererView{}d.GuideRendererView=n,n.__name__=\"GuideRendererView\";class t extends i.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"guide\"})}}d.GuideRenderer=t,t.__name__=\"GuideRenderer\",t.init_GuideRenderer()},\n      function _(t,s,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),i=t(150),r=t(153),a=t(154),l=e.__importStar(t(23)),_=e.__importStar(t(18));class n extends i.AxisView{_render(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;t<e.tops.length-1;t++){let s,o;for(let i=n;i<e.factors.length;i++)if(e.factors[i][0]==e.tops[t+1]){[s,o]=[e.factors[i-1],e.factors[i]],n=i;break}const h=(e.synthetic(s)+e.synthetic(o))/2;h>i&&h<r&&(_[a].push(h),_[l].push(this.loc))}const h=this._tick_label_extent();this._draw_ticks(t,_,-3,h-6,this.visuals.separator_line)}_draw_major_labels(t,s,o){const e=this._get_factor_info();let i=s.tick+this.model.major_label_standoff;for(let o=0;o<e.length;o++){const[r,a,l,_]=e[o];this._draw_oriented_labels(t,r,a,l,this.panel.side,i,_),i+=s.tick_label[o]}}_tick_label_extents(){const t=this._get_factor_info(),s=[];for(const[o,,e,i]of t){const t=this._oriented_labels_extent(o,e,this.panel.side,this.model.major_label_standoff,i);s.push(t)}return s}_get_factor_info(){const[t]=this.ranges,[s,o]=this.computed_bounds,e=this.loc,i=this.model.ticker.get_ticks(s,o,t,e,{}),r=this.tick_coords,a=[];if(1==t.levels){const t=i.major,s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=i.major.map(t=>t[1]),s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=i.major.map(t=>t[2]),s=this.model.formatter.doFormat(t,this),o=i.mids.map(t=>t[1]);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([o,r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc,{}),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map(t=>this.loc),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map(t=>this.loc)),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map(t=>this.loc)),a}}o.CategoricalAxisView=n,n.__name__=\"CategoricalAxisView\";class h extends i.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=n,this.mixins([[\"separator_\",l.Line],[\"group_\",l.Text],[\"subgroup_\",l.Text]]),this.define({group_label_orientation:[_.Any,\"parallel\"],subgroup_label_orientation:[_.Any,\"parallel\"]}),this.override({ticker:()=>new r.CategoricalTicker,formatter:()=>new a.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})}}o.CategoricalAxis=h,h.__name__=\"CategoricalAxis\",h.init_CategoricalAxis()},\n      function _(t,c,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(112);class s extends o.Ticker{constructor(t){super(t)}get_ticks(t,c,e,o,s){return{major:this._collect(e.factors,e,t,c),minor:[],tops:this._collect(e.tops||[],e,t,c),mids:this._collect(e.mids||[],e,t,c)}}_collect(t,c,e,o){const s=[];for(const r of t){const t=c.synthetic(r);t>e&&t<o&&s.push(r)}return s}}e.CategoricalTicker=s,s.__name__=\"CategoricalTicker\"},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(114),c=e(9);class a extends o.TickFormatter{constructor(e){super(e)}doFormat(e,t){return c.copy(e)}}r.CategoricalTickFormatter=a,a.__name__=\"CategoricalTickFormatter\"},\n      function _(s,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=s(150);class t extends o.Axis{constructor(s){super(s)}}n.ContinuousAxis=t,t.__name__=\"ContinuousAxis\"},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(157),a=e(158),r=e(163);class n extends s.LinearAxisView{}i.DatetimeAxisView=n,n.__name__=\"DatetimeAxisView\";class _ extends s.LinearAxis{constructor(e){super(e)}static init_DatetimeAxis(){this.prototype.default_view=n,this.override({ticker:()=>new r.DatetimeTicker,formatter:()=>new a.DatetimeTickFormatter})}}i.DatetimeAxis=_,_.__name__=\"DatetimeAxis\",_.init_DatetimeAxis()},\n      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(150),n=e(155),r=e(113),a=e(109);class _ extends t.AxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class c extends n.ContinuousAxis{constructor(e){super(e)}static init_LinearAxis(){this.prototype.default_view=_,this.override({ticker:()=>new a.BasicTicker,formatter:()=>new r.BasicTickFormatter})}}s.LinearAxis=c,c.__name__=\"LinearAxis\",c.init_LinearAxis()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),i=r.__importDefault(t(159)),n=t(114),o=t(72),a=r.__importStar(t(18)),c=t(160),m=t(9),u=t(8);function h(t){return i.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map(t=>parseInt(t,10))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:i.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends n.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static init_DatetimeTickFormatter(){this.define({microseconds:[a.Array,[\"%fus\"]],milliseconds:[a.Array,[\"%3Nms\",\"%S.%3Ns\"]],seconds:[a.Array,[\"%Ss\"]],minsec:[a.Array,[\":%M:%S\"]],minutes:[a.Array,[\":%M\",\"%Mm\"]],hourmin:[a.Array,[\"%H:%M\"]],hours:[a.Array,[\"%Hh\",\"%H:%M\"]],days:[a.Array,[\"%m/%d\",\"%a%d\"]],months:[a.Array,[\"%m/%Y\",\"%b %Y\"]],years:[a.Array,[\"%Y\"]]})}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const t=+i.default(new Date),s=function(s){const e=s.map(s=>d(t,s).length),r=m.sort_by(m.zip(e,s),([t])=>t);return m.unzip(r)};this._width_formats={microseconds:s(this.microseconds),milliseconds:s(this.milliseconds),seconds:s(this.seconds),minsec:s(this.minsec),minutes:s(this.minutes),hourmin:s(this.hourmin),hours:s(this.hours),days:s(this.days),months:s(this.months),years:s(this.years)}}_get_resolution_str(t,s){const e=1.1*t;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return s>=60?\"minsec\":\"seconds\";case!(e<3600):return s>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(t,s){if(0==t.length)return[];const e=Math.abs(t[t.length-1]-t[0])/1e3,r=e/(t.length-1),i=this._get_resolution_str(r,e),[,[n]]=this._width_formats[i],a=[],c=l.indexOf(i),m={};for(const t of l)m[t]=0;m.seconds=5,m.minsec=4,m.minutes=4,m.hourmin=3,m.hours=3;for(const s of t){let t,e;try{e=h(s),t=d(s,n)}catch(t){o.logger.warn(\"unable to format tick for timestamp value \"+s),o.logger.warn(\" - \"+t),a.push(\"ERR\");continue}let r=!1,u=c;for(;0==e[m[l[u]]];){let n;if(u+=1,u==l.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!r){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){n=this._width_formats[l[c-1]][1][0],t=d(s,n);break}r=!0}n=this._width_formats[l[u]][1][0],t=d(s,n)}if(this.strip_leading_zeros){let s=t.replace(/^0+/g,\"\");s!=t&&isNaN(parseInt(s))&&(s=\"0\"+s),a.push(s)}else a.push(t)}return a}}e.DatetimeTickFormatter=_,_.__name__=\"DatetimeTickFormatter\",_.init_DatetimeTickFormatter()},\n      function _(e,t,n){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new 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e.getUTCFullYear()},y:function(e){return e.getUTCFullYear()%100},H:function(e){return e.getUTCHours()},M:function(e){return e.getUTCMinutes()},S:function(e){return e.getUTCSeconds()},e:function(e){return e.getUTCDate()},d:function(e){return e.getUTCDate()},u:function(e){return e.getUTCDay()||7},w:function(e){return e.getUTCDay()},l:function(e){return e.getUTCHours()%12||12},I:function(e){return e.getUTCHours()%12||12},k:function(e){return e.getUTCHours()},Z:function(e){return this.entry.abbrev},a:function(e){return this[this.locale].day.abbrev[e.getUTCDay()]},A:function(e){return this[this.locale].day.full[e.getUTCDay()]},h:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},b:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},B:function(e){return this[this.locale].month.full[e.getUTCMonth()]},P:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)].toLowerCase()},p:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)]},R:function(e,t){return this.convert([t,\"%H:%M\"])},T:function(e,t){return this.convert([t,\"%H:%M:%S\"])},D:function(e,t){return this.convert([t,\"%m/%d/%y\"])},F:function(e,t){return this.convert([t,\"%Y-%m-%d\"])},x:function(e,t){return this.convert([t,this[this.locale].date])},r:function(e,t){return this.convert([t,this[this.locale].time12||\"%I:%M:%S\"])},X:function(e,t){return this.convert([t,this[this.locale].time24])},c:function(e,t){return this.convert([t,this[this.locale].dateTime])},convert:function(e){if(!e.length)return\"1.0.23\";var t,a,u,l,s,c=Object.create(this),f=[];for(t=0;t<e.length;t++)if(l=e[t],Array.isArray(l))t||isNaN(l[1])?l.splice.apply(e,[t--,1].concat(l)):s=l;else if(isNaN(l)){if(\"string\"==(u=typeof 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Use `setCulture` instead\");var t=e,r=e.split(\"-\")[0],i=null;a[t]||(Object.keys(a).forEach((function(e){i||e.split(\"-\")[0]!==r||(i=e)})),t=i||n||\"en-US\"),m(t)},r.setCulture=function(e,n){var t=e,r=e.split(\"-\")[1],a=null;i[t]||(r&&Object.keys(i).forEach((function(e){a||e.split(\"-\")[1]!==r||(a=e)})),t=a||n||\"en-US\"),m(t)},r.language=function(e,n){if(console.warn(\"`language` is deprecated since version 1.6.0. Use `culture` instead\"),!e)return o;if(e&&!n){if(!a[e])throw new Error(\"Unknown language : \"+e);m(e)}return!n&&a[e]||p(e,n),r},r.culture=function(e,n){if(!e)return o;if(e&&!n){if(!i[e])throw new Error(\"Unknown culture : \"+e);m(e)}return!n&&i[e]||p(e,n),r},r.languageData=function(e){if(console.warn(\"`languageData` is deprecated since version 1.6.0. 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Use `cultures` instead\"),a},r.cultures=function(){return i},r.zeroFormat=function(e){l=\"string\"==typeof e?e:null},r.defaultFormat=function(e){u=\"string\"==typeof e?e:\"0.0\"},r.defaultCurrencyFormat=function(e){\"string\"==typeof e?e:\"0$\"},r.validate=function(e,n){var t,i,a,o,l,u,c,s;if(\"string\"!=typeof e&&(e+=\"\",console.warn&&console.warn(\"Numbro.js: Value is not string. 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e={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function n(e){return i(a(e),arguments)}function r(e,t){return n.apply(null,[e].concat(t||[]))}function i(t,r){var i,s,a,o,p,c,l,u,f,d=1,g=t.length,y=\"\";for(s=0;s<g;s++)if(\"string\"==typeof t[s])y+=t[s];else if(\"object\"==typeof t[s]){if((o=t[s]).keys)for(i=r[d],a=0;a<o.keys.length;a++){if(null==i)throw new Error(n('[sprintf] Cannot access property \"%s\" of undefined value \"%s\"',o.keys[a],o.keys[a-1]));i=i[o.keys[a]]}else i=o.param_no?r[o.param_no]:r[d++];if(e.not_type.test(o.type)&&e.not_primitive.test(o.type)&&i instanceof 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a.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:m.ONE_HOUR,max_interval:12*m.ONE_HOUR,num_minor_ticks:0}),new r.DaysTicker({days:t.range(1,32)}),new r.DaysTicker({days:t.range(1,31,3)}),new r.DaysTicker({days:[1,8,15,22]}),new r.DaysTicker({days:[1,15]}),new c.MonthsTicker({months:t.range(0,12,1)}),new c.MonthsTicker({months:t.range(0,12,2)}),new c.MonthsTicker({months:t.range(0,12,4)}),new c.MonthsTicker({months:t.range(0,12,6)}),new _.YearsTicker({})]})}}n.DatetimeTicker=k,k.__name__=\"DatetimeTicker\",k.init_DatetimeTicker()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),s=t(111),n=r.__importStar(t(18)),_=t(9);class a extends s.ContinuousTicker{constructor(t){super(t)}static init_CompositeTicker(){this.define({tickers:[n.Array,[]]})}get min_intervals(){return this.tickers.map(t=>t.get_min_interval())}get max_intervals(){return this.tickers.map(t=>t.get_max_interval())}get min_interval(){return this.min_intervals[0]}get max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const r=e-t,s=this.get_ideal_interval(t,e,i),n=[_.sorted_index(this.min_intervals,s)-1,_.sorted_index(this.max_intervals,s)],a=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map(t=>Math.abs(i-r/t));let c;if(_.is_empty(a.filter(t=>!isNaN(t))))c=this.tickers[0];else{const t=n[_.argmin(a)];c=this.tickers[t]}return c}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,r){return this.get_best_ticker(t,e,r).get_ticks_no_defaults(t,e,i,r)}}i.CompositeTicker=a,a.__name__=\"CompositeTicker\",a.init_CompositeTicker()},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=t(166),a=t(167),o=i.__importStar(t(18)),r=t(9);class _ extends s.SingleIntervalTicker{constructor(t){super(t)}static init_DaysTicker(){this.define({days:[o.Array,[]]}),this.override({num_minor_ticks:0})}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*a.ONE_DAY:this.interval=31*a.ONE_DAY}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=a.last_month_no_later_than(new Date(t)),i=a.last_month_no_later_than(new Date(e));i.setUTCMonth(i.getUTCMonth()+1);const s=[],o=n;for(;s.push(a.copy_date(o)),o.setUTCMonth(o.getUTCMonth()+1),!(o>i););return s}(t,e),o=this.days,_=this.interval;return{major:r.concat(s.map(t=>((t,e)=>{const n=t.getUTCMonth(),i=[];for(const s of o){const o=a.copy_date(t);o.setUTCDate(s),new Date(o.getTime()+e/2).getUTCMonth()==n&&i.push(o)}return i})(t,_))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.DaysTicker=_,_.__name__=\"DaysTicker\",_.init_DaysTicker()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),r=e(111),l=n.__importStar(e(18));class a extends r.ContinuousTicker{constructor(e){super(e)}static init_SingleIntervalTicker(){this.define({interval:[l.Number]})}get_interval(e,t,i){return this.interval}get min_interval(){return this.interval}get max_interval(){return this.interval}}i.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n      function _(t,e,n){function _(t){return new Date(t.getTime())}function O(t){const e=_(t);return e.setUTCDate(1),e.setUTCHours(0),e.setUTCMinutes(0),e.setUTCSeconds(0),e.setUTCMilliseconds(0),e}Object.defineProperty(n,\"__esModule\",{value:!0}),n.ONE_MILLI=1,n.ONE_SECOND=1e3,n.ONE_MINUTE=60*n.ONE_SECOND,n.ONE_HOUR=60*n.ONE_MINUTE,n.ONE_DAY=24*n.ONE_HOUR,n.ONE_MONTH=30*n.ONE_DAY,n.ONE_YEAR=365*n.ONE_DAY,n.copy_date=_,n.last_month_no_later_than=O,n.last_year_no_later_than=function(t){const e=O(t);return e.setUTCMonth(0),e}},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(166),s=t(167),a=r.__importStar(t(18)),o=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define({months:[a.Array,[]]})}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*s.ONE_MONTH:this.interval=12*s.ONE_MONTH}get_ticks_no_defaults(t,e,n,r){const i=function(t,e){const n=s.last_year_no_later_than(new Date(t)),r=s.last_year_no_later_than(new Date(e));r.setUTCFullYear(r.getUTCFullYear()+1);const i=[],a=n;for(;i.push(s.copy_date(a)),a.setUTCFullYear(a.getUTCFullYear()+1),!(a>r););return i}(t,e),a=this.months;return{major:o.concat(i.map(t=>a.map(e=>{const n=s.copy_date(t);return n.setUTCMonth(e),n}))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.MonthsTicker=_,_.__name__=\"MonthsTicker\",_.init_MonthsTicker()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(109),r=e(166),n=e(167);class _ extends r.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=n.ONE_YEAR,this.basic_ticker=new i.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=n.last_year_no_later_than(new Date(e)).getUTCFullYear(),_=n.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,_,a,i).major.map(e=>Date.UTC(e,0,1)).filter(a=>e<=a&&a<=t),minor:[]}}}a.YearsTicker=_,_.__name__=\"YearsTicker\"},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(150),o=e(155),n=e(171),r=e(172);class _ extends s.AxisView{}t.LogAxisView=_,_.__name__=\"LogAxisView\";class c extends o.ContinuousAxis{constructor(e){super(e)}static init_LogAxis(){this.prototype.default_view=_,this.override({ticker:()=>new r.LogTicker,formatter:()=>new n.LogTickFormatter})}}t.LogAxis=c,c.__name__=\"LogAxis\",c.init_LogAxis()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=t(114),a=t(113),n=i.__importStar(t(18));class c extends o.TickFormatter{constructor(t){super(t)}static init_LogTickFormatter(){this.define({ticker:[n.Instance,null]})}initialize(){super.initialize(),this.basic_formatter=new a.BasicTickFormatter}doFormat(t,e){if(0==t.length)return[];const r=null!=this.ticker?this.ticker.base:10;let i=!1;const o=new Array(t.length);for(let e=0,a=t.length;e<a;e++)if(o[e]=`${r}^${Math.round(Math.log(t[e])/Math.log(r))}`,e>0&&o[e]==o[e-1]){i=!0;break}return i?this.basic_formatter.doFormat(t,e):o}}r.LogTickFormatter=c,c.__name__=\"LogTickFormatter\",c.init_LogTickFormatter()},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(110),s=t(9);class n extends i.AdaptiveTicker{constructor(t){super(t)}static init_LogTicker(){this.override({mantissas:[1,5]})}get_ticks_no_defaults(t,o,e,i){const n=this.num_minor_ticks,r=[],c=this.base,a=Math.log(t)/Math.log(c),f=Math.log(o)/Math.log(c),l=f-a;let h;if(isFinite(l))if(l<2){const 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function _(r,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=r(1),s=r(109),i=n.__importStar(r(18)),t=r(32);class c extends s.BasicTicker{constructor(r){super(r)}static init_MercatorTicker(){this.define({dimension:[i.LatLon]})}get_ticks_no_defaults(r,o,e,n){if(null==this.dimension)throw new Error(\"MercatorTicker.dimension not configured\");let s,i,c;[r,o]=t.clip_mercator(r,o,this.dimension),\"lon\"===this.dimension?([s,c]=t.wgs84_mercator.inverse([r,e]),[i,c]=t.wgs84_mercator.inverse([o,e])):([c,s]=t.wgs84_mercator.inverse([e,r]),[c,i]=t.wgs84_mercator.inverse([e,o]));const a=super.get_ticks_no_defaults(s,i,e,n),_=[],f=[];if(\"lon\"===this.dimension){for(const r of a.major)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);_.push(o)}for(const r of a.minor)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);f.push(o)}}else{for(const r of a.major)if(t.in_bounds(r,\"lat\")){const[,o]=t.wgs84_mercator.forward([c,r]);_.push(o)}for(const r of 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${o}`),this.__currentPosition={x:a,y:o}}clip(){const t=this.__closestGroupOrSvg(),e=this.__createElement(\"clipPath\"),s=n(this.__ids),i=this.__createElement(\"g\");this.__applyCurrentDefaultPath(),t.removeChild(this.__currentElement),e.setAttribute(\"id\",s),e.appendChild(this.__currentElement),this.__defs.appendChild(e),t.setAttribute(\"clip-path\",`url(#${s})`),t.appendChild(i),this.__currentElement=i}drawImage(t,...e){let s,i,n,a,o,l,h,c;if(2==e.length)[s,i]=e,o=0,l=0,h=t.width,c=t.height,n=h,a=c;else if(4==e.length)[s,i,n,a]=e,o=0,l=0,h=t.width,c=t.height;else{if(8!==e.length)throw new Error(\"Inavlid number of arguments passed to drawImage: \"+arguments.length);[o,l,h,c,s,i,n,a]=e}const _=this.__closestGroupOrSvg(),d=\"translate(\"+s+\", \"+i+\")\";if(t instanceof u){const e=t.getSvg().cloneNode(!0);if(e.childNodes&&e.childNodes.length>1){const t=r(e)[0];for(;t.childNodes.length;){const e=r(t)[0].getAttribute(\"id\");this.__ids[e]=e,this.__defs.appendChild(r(t)[0])}const s=r(e)[1];if(s){const t=s.getAttribute(\"transform\");let e;e=t?t+\" \"+d:d,s.setAttribute(\"transform\",e),_.appendChild(s)}}}else if(t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__createElement(\"image\");if(e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\"),o||l||h!==t.width||c!==t.height){const e=this.__document.createElement(\"canvas\");e.width=n,e.height=a,e.getContext(\"2d\").drawImage(t,o,l,h,c,0,0,n,a),t=e}e.setAttribute(\"transform\",d);const s=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",s),_.appendChild(e)}else if(t instanceof HTMLCanvasElement){const e=this.__createElement(\"image\");e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\");const s=this.__document.createElement(\"canvas\");s.width=n,s.height=a;const i=s.getContext(\"2d\");i.imageSmoothingEnabled=!1,i.drawImage(t,o,l,h,c,0,0,n,a),t=s,e.setAttribute(\"transform\",d),e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.toDataURL()),_.appendChild(e)}}createPattern(t,e){const s=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),i=n(this.__ids);let r;if(s.setAttribute(\"id\",i),s.setAttribute(\"width\",\"\"+t.width),s.setAttribute(\"height\",\"\"+t.height),t instanceof HTMLCanvasElement||t instanceof HTMLImageElement||t instanceof SVGImageElement){r=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\"),r.setAttribute(\"width\",\"\"+t.width),r.setAttribute(\"height\",\"\"+t.height);const e=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");r.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",e),s.appendChild(r),this.__defs.appendChild(s)}else t instanceof u&&(s.appendChild(t.__root.childNodes[1]),this.__defs.appendChild(s));return new _(s,this)}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}}s.SVGRenderingContext2D=u,u.__name__=\"SVGRenderingContext2D\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(185),_=e(121),n=e(130),r=e(131),i=e(186),g=e(90),c=e(188);class h extends c.LayoutItem{constructor(e,t,s,a,_={},n={}){super(),this.x_scale=e,this.y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=n,this._configure_scales()}map_to_screen(e,t,s=\"default\",a=\"default\"){return[this.xscales[s].v_compute(e),this.yscales[a].v_compute(t)]}_get_ranges(e,t){return Object.assign(Object.assign({},t),{default:e})}_get_scales(e,t,s){const c={};for(const h in t){const o=t[h];if((o instanceof i.DataRange1d||o instanceof r.Range1d)&&!(e instanceof _.ContinuousScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);if(o instanceof g.FactorRange&&!(e instanceof a.CategoricalScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&o instanceof i.DataRange1d&&(o.scale_hint=\"log\");const l=e.clone();l.setv({source_range:o,target_range:s}),c[h]=l}return c}_configure_frame_ranges(){this._h_target=new r.Range1d({start:this._left.value,end:this._right.value}),this._v_target=new r.Range1d({start:this._bottom.value,end:this._top.value})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._xscales=this._get_scales(this.x_scale,this._x_ranges,this._h_target),this._yscales=this._get_scales(this.y_scale,this._y_ranges,this._v_target)}_update_scales(){this._configure_frame_ranges();for(const e in this._xscales){this._xscales[e].target_range=this._h_target}for(const e in this._yscales){this._yscales[e].target_range=this._v_target}}_set_geometry(e,t){super._set_geometry(e,t),this._update_scales()}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get xscales(){return this._xscales}get yscales(){return this._yscales}}s.CartesianFrame=h,h.__name__=\"CartesianFrame\"},\n      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(122);class _ extends n.Scale{constructor(e){super(e)}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}t.CategoricalScale=_,_.__name__=\"CategoricalScale\"},\n      function _(t,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=t(1),a=t(187),s=t(81),l=t(72),_=e.__importStar(t(18)),o=e.__importStar(t(88)),r=t(9);class h extends a.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}static init_DataRange1d(){this.define({start:[_.Number],end:[_.Number],range_padding:[_.Number,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[_.Boolean,!1],follow:[_.StartEnd],follow_interval:[_.Number],default_span:[_.Number,2],only_visible:[_.Boolean,!1]}),this.internal({scale_hint:[_.String,\"auto\"]})}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const t=this.names;let i=this.renderers;if(0==i.length)for(const t of this.plots){const n=t.renderers.filter(t=>t instanceof s.GlyphRenderer);i=i.concat(n)}t.length>0&&(i=i.filter(i=>r.includes(t,i.name))),l.logger.debug(`computed ${i.length} renderers for ${this}`);for(const t of i)l.logger.trace(\" - \"+t);return i}_compute_plot_bounds(t,i){let n=o.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=o.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=o.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return e<i*a?e=i*a:a=e/i,n.x1=s+.5*e,n.x0=s-.5*e,n.y1=l+.5*a,n.y0=l-.5*a,n}_compute_min_max(t,i){let n,e,a=o.empty();for(const i of t)a=o.union(a,i);return[n,e]=0==i?[a.x0,a.x1]:[a.y0,a.y1],[n,e]}_compute_range(t,i){const n=this.range_padding;let e,a;if(null!=this._initial_start&&(t=this._initial_start),null!=this._initial_end&&(i=this._initial_end),\"log\"==this.scale_hint){let s,_;if((isNaN(t)||!isFinite(t)||t<=0)&&(t=isNaN(i)||!isFinite(i)||i<=0?.1:i/100,l.logger.warn(\"could not determine minimum data value for log axis, DataRange1d using value \"+t)),(isNaN(i)||!isFinite(i)||i<=0)&&(i=isNaN(t)||!isFinite(t)||t<=0?10:100*t,l.logger.warn(\"could not determine maximum data value for log axis, DataRange1d using value \"+i)),i==t)_=this.default_span+.001,s=Math.log(t)/Math.log(10);else{let e,a;\"percent\"==this.range_padding_units?(e=Math.log(t)/Math.log(10),a=Math.log(i)/Math.log(10),_=(a-e)*(1+n)):(e=Math.log(t-n)/Math.log(10),a=Math.log(i+n)/Math.log(10),_=a-e),s=(e+a)/2}e=10**(s-_/2),a=10**(s+_/2)}else{let s;s=i==t?this.default_span:\"percent\"==this.range_padding_units?(i-t)*(1+n):i-t+2*n;const l=(i+t)/2;e=l-s/2,a=l+s/2}let s=1;this.flipped&&([e,a]=[a,e],s=-1);const _=this.follow_interval;return null!=_&&Math.abs(e-a)>_&&(\"start\"==this.follow?a=e+s*_:\"end\"==this.follow&&(e=a-s*_)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);const[h,d]=[this.start,this.end];if(o!=h||r!=d){const t={};o!=h&&(t.start=o),r!=d&&(t.end=r),this.setv(t)}\"auto\"==this.bounds&&this.setv({bounds:[o,r]},{silent:!0}),this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=h,h.__name__=\"DataRange1d\",h.init_DataRange1d()},\n      function _(e,a,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),r=e(91),s=n.__importStar(e(18));class _ extends r.Range{constructor(e){super(e)}static init_DataRange(){this.define({names:[s.Array,[]],renderers:[s.Array,[]]})}}t.DataRange=_,_.__name__=\"DataRange\",_.init_DataRange()},\n      function _(a,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=a(189);t.Sizeable=e.Sizeable;var r=a(190);t.Layoutable=r.Layoutable,t.LayoutItem=r.LayoutItem;var n=a(191);t.HStack=n.HStack,t.VStack=n.VStack,t.AnchorLayout=n.AnchorLayout;var u=a(192);t.Grid=u.Grid,t.Row=u.Row,t.Column=u.Column;var c=a(193);t.ContentBox=c.ContentBox,t.VariadicBox=c.VariadicBox},\n      function _(h,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const{min:e,max:w}=Math;class d{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new d({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new d({width:h!=1/0?w(this.width,h):this.width,height:t!=1/0?w(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=w(this.width,h),this.height=w(this.height,t)}narrowed_to({width:h,height:t}){return new d({width:e(this.width,h),height:e(this.height,t)})}narrow_to({width:h,height:t}){this.width=e(this.width,h),this.height=e(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,s=this.height+i+e;return new d({width:w,height:s})}shrink_by({left:h,right:t,top:i,bottom:e}){const s=w(this.width-h-t,0),n=w(this.height-i-e,0);return new d({width:s,height:n})}map(h,t){return new d({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=d,d.__name__=\"Sizeable\"},\n      function _(i,t,h){Object.defineProperty(h,\"__esModule\",{value:!0});const e=i(189),s=i(88),{min:n,max:g,round:a}=Math;class r{constructor(){this._bbox=new s.BBox,this._inner_bbox=new s.BBox;const i=this;this._top={get value(){return i.bbox.top}},this._left={get value(){return i.bbox.left}},this._width={get value(){return i.bbox.width}},this._height={get value(){return i.bbox.height}},this._right={get value(){return i.bbox.right}},this._bottom={get value(){return i.bbox.bottom}},this._hcenter={get value(){return i.bbox.hcenter}},this._vcenter={get value(){return i.bbox.vcenter}}}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set_sizing(i){const t=i.width_policy||\"fit\",h=i.width,e=null!=i.min_width?i.min_width:0,s=null!=i.max_width?i.max_width:1/0,n=i.height_policy||\"fit\",g=i.height,a=null!=i.min_height?i.min_height:0,r=null!=i.max_height?i.max_height:1/0,l=i.aspect,_=i.margin||{top:0,right:0,bottom:0,left:0},d=!1!==i.visible,o=i.halign||\"start\",u=i.valign||\"start\";this._sizing={width_policy:t,min_width:e,width:h,max_width:s,height_policy:n,min_height:a,height:g,max_height:r,aspect:l,margin:_,visible:d,halign:o,valign:u,size:{width:h,height:g},min_size:{width:e,height:a},max_size:{width:s,height:r}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,t||i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:s,height_policy:n}=this.sizing,g=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=s&&\"fixed\"!=n)if(s==n){const s=t,n=a(t/e),g=a(h*e),r=h;Math.abs(i.width-s)+Math.abs(i.height-n)<=Math.abs(i.width-g)+Math.abs(i.height-r)?(t=s,h=n):(t=g,h=r)}else g(s,n)?h=a(t/e):t=a(h*e);else\"fixed\"==s?h=a(t/e):\"fixed\"==n&&(t=a(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,s=new e.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(s),g=this.clip_size(n),a=t(g.width),r=h(g.height),l=this.apply_aspect(s,{width:a,height:r});return Object.assign(Object.assign({},n),l)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new s.BBox({left:0,top:0,width:h,height:e});let g=void 0;if(null!=t.inner){const{left:i,top:n,right:a,bottom:r}=t.inner;g=new s.BBox({left:i,top:n,right:h-a,bottom:e-r})}this.set_geometry(n,g)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_width(i){return g(this.sizing.min_width,n(i,this.sizing.max_width))}clip_height(i){return g(this.sizing.min_height,n(i,this.sizing.max_height))}clip_size({width:i,height:t}){return{width:this.clip_width(i),height:this.clip_height(t)}}}h.Layoutable=r,r.__name__=\"Layoutable\";class l extends r{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;let e,s;if(i.width==1/0)e=null!=this.sizing.width?this.sizing.width:0;else switch(t){case\"fixed\":e=null!=this.sizing.width?this.sizing.width:0;break;case\"min\":e=null!=this.sizing.width?n(i.width,this.sizing.width):0;break;case\"fit\":e=null!=this.sizing.width?n(i.width,this.sizing.width):i.width;break;case\"max\":e=null!=this.sizing.width?g(i.width,this.sizing.width):i.width}if(i.height==1/0)s=null!=this.sizing.height?this.sizing.height:0;else switch(h){case\"fixed\":s=null!=this.sizing.height?this.sizing.height:0;break;case\"min\":s=null!=this.sizing.height?n(i.height,this.sizing.height):0;break;case\"fit\":s=null!=this.sizing.height?n(i.height,this.sizing.height):i.height;break;case\"max\":s=null!=this.sizing.height?g(i.height,this.sizing.height):i.height}return{width:e,height:s}}}h.LayoutItem=l,l.__name__=\"LayoutItem\";class _ extends r{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=_,_.__name__=\"ContentLayoutable\"},\n      function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const o=t(190),r=t(88);class i extends o.Layoutable{constructor(){super(...arguments),this.children=[]}}h.Stack=i,i.__name__=\"Stack\";class s extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e+=o.width,h=Math.max(h,o.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{top:h,bottom:o}=t;let{left:i}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({left:i,width:e,top:h,bottom:o})),i+=e}}}h.HStack=s,s.__name__=\"HStack\";class n extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e=Math.max(e,o.width),h+=o.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{left:h,right:o}=t;let{top:i}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({top:i,height:e,left:h,right:o})),i+=e}}}h.VStack=n,n.__name__=\"VStack\";class c extends o.Layoutable{constructor(){super(...arguments),this.children=[]}_measure(t){let e=0,h=0;for(const{layout:o}of this.children){const r=o.measure(t);e=Math.max(e,r.width),h=Math.max(h,r.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);for(const{layout:e,anchor:h,margin:o}of this.children){const{left:i,right:s,top:n,bottom:c,hcenter:a,vcenter:_}=t,{width:g,height:d}=e.measure(t);let m;switch(h){case\"top_left\":m=new r.BBox({left:i+o,top:n+o,width:g,height:d});break;case\"top_center\":m=new r.BBox({hcenter:a,top:n+o,width:g,height:d});break;case\"top_right\":m=new r.BBox({right:s-o,top:n+o,width:g,height:d});break;case\"bottom_right\":m=new r.BBox({right:s-o,bottom:c-o,width:g,height:d});break;case\"bottom_center\":m=new r.BBox({hcenter:a,bottom:c-o,width:g,height:d});break;case\"bottom_left\":m=new r.BBox({left:i+o,bottom:c-o,width:g,height:d});break;case\"center_left\":m=new r.BBox({left:i+o,vcenter:_,width:g,height:d});break;case\"center\":m=new r.BBox({hcenter:a,vcenter:_,width:g,height:d});break;case\"center_right\":m=new r.BBox({right:s-o,vcenter:_,width:g,height:d})}e.set_geometry(m)}}}h.AnchorLayout=c,c.__name__=\"AnchorLayout\"},\n      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(189),o=t(190),n=t(8),r=t(88),h=t(9),{max:l,round:c}=Math;class a{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}a.__name__=\"DefaultMap\";class g{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=l(this._nrows,s+1),this._ncols=l(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter(({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1).map(({data:t})=>t)}row(t){return this._items.filter(({span:i})=>i.r0<=t&&t<=i.r1).map(({data:t})=>t)}col(t){return this._items.filter(({span:i})=>i.c0<=t&&t<=i.c1).map(({data:t})=>t)}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new g;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}g.__name__=\"Container\";class p extends o.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0,this.absolute=!1}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}_init(){super._init();const t=new g;for(const{layout:i,row:s,col:e,row_span:o,col_span:n}of this.items)if(i.sizing.visible){const r=s,h=e,l=s+(null!=o?o:1)-1,c=e+(null!=n?n:1)-1;t.add({r0:r,c0:h,r1:l,c1:c},i)}const{nrows:i,ncols:s}=t,e=new Array(i);for(let s=0;s<i;s++){const i=(()=>{const t=n.isPlainObject(this.rows)?this.rows[s]||this.rows[\"*\"]:this.rows;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",height:t}:n.isString(t)?{policy:t}:t})(),o=i.align||\"auto\";if(\"fixed\"==i.policy)e[s]={policy:\"fixed\",height:i.height,align:o};else if(\"min\"==i.policy)e[s]={policy:\"min\",align:o};else if(\"fit\"==i.policy||\"max\"==i.policy)e[s]={policy:i.policy,flex:i.flex||1,align:o};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");h.some(t.row(s),t=>t.is_height_expanding())?e[s]={policy:\"max\",flex:1,align:o}:e[s]={policy:\"min\",align:o}}}const o=new Array(s);for(let i=0;i<s;i++){const s=(()=>{const t=n.isPlainObject(this.cols)?this.cols[i]||this.cols[\"*\"]:this.cols;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",width:t}:n.isString(t)?{policy:t}:t})(),e=s.align||\"auto\";if(\"fixed\"==s.policy)o[i]={policy:\"fixed\",width:s.width,align:e};else if(\"min\"==s.policy)o[i]={policy:\"min\",align:e};else if(\"fit\"==s.policy||\"max\"==s.policy)o[i]={policy:s.policy,flex:s.flex||1,align:e};else{if(\"auto\"!=s.policy)throw new Error(\"unrechable\");h.some(t.col(i),t=>t.is_width_expanding())?o[i]={policy:\"max\",flex:1,align:e}:o[i]={policy:\"min\",align:e}}}const[r,l]=n.isNumber(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:t,nrows:i,ncols:s,rows:e,cols:o,rspacing:r,cspacing:l}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:h.sum(t)+(s-1)*o,width:h.sum(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:o,rows:n,cols:r,rspacing:h,cspacing:a}=this._state,p=new Array(s);for(let t=0;t<s;t++){const i=n[t];p[t]=\"fixed\"==i.policy?i.height:0}const _=new Array(o);for(let t=0;t<o;t++){const i=r[t];_[t]=\"fixed\"==i.policy?i.width:0}const f=new g;return i.foreach((i,s)=>{const{r0:o,c0:g,r1:d,c1:w}=i,u=(d-o)*h,m=(w-g)*a;let y=0;for(let i=o;i<=d;i++)y+=t(i,g).height;y+=u;let x=0;for(let i=g;i<=w;i++)x+=t(o,i).width;x+=m;const b=s.measure({width:x,height:y});f.add(i,{layout:s,size_hint:b});const z=new e.Sizeable(b).grow_by(s.sizing.margin);z.height-=u,z.width-=m;const j=[];for(let t=o;t<=d;t++){const i=n[t];\"fixed\"==i.policy?z.height-=i.height:j.push(t)}if(z.height>0){const t=c(z.height/j.length);for(const i of j)p[i]=l(p[i],t)}const O=[];for(let t=g;t<=w;t++){const i=r[t];\"fixed\"==i.policy?z.width-=i.width:O.push(t)}if(z.width>0){const t=c(z.width/O.length);for(const i of O)_[i]=l(_[i],t)}}),{size:this._measure_totals(p,_),row_heights:p,col_widths:_,size_hints:f}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:r}=this._state,h=this._measure_cells((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}});let a;a=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:h.size.height;let g,p=0;for(let t=0;t<i;t++){const i=e[t];\"fit\"==i.policy||\"max\"==i.policy?p+=i.flex:a-=h.row_heights[t]}if(a-=(i-1)*n,0!=p&&a>0)for(let t=0;t<i;t++){const i=e[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(a*(i.flex/p));a-=s,h.row_heights[t]=s,p-=i.flex}}else if(a<0){let t=0;for(let s=0;s<i;s++){\"fixed\"!=e[s].policy&&t++}let s=-a;for(let o=0;o<i;o++){if(\"fixed\"!=e[o].policy){const i=h.row_heights[o],e=c(s/t);h.row_heights[o]=l(i-e,0),s-=e>i?i:e,t--}}}g=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:h.size.width;let _=0;for(let t=0;t<s;t++){const i=o[t];\"fit\"==i.policy||\"max\"==i.policy?_+=i.flex:g-=h.col_widths[t]}if(g-=(s-1)*r,0!=_&&g>0)for(let t=0;t<s;t++){const i=o[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(g*(i.flex/_));g-=s,h.col_widths[t]=s,_-=i.flex}}else if(g<0){let t=0;for(let i=0;i<s;i++){\"fixed\"!=o[i].policy&&t++}let i=-g;for(let e=0;e<s;e++){if(\"fixed\"!=o[e].policy){const s=h.col_widths[e],o=c(i/t);h.col_widths[e]=l(s-o,0),i-=o>s?s:o,t--}}}const{row_heights:f,col_widths:d,size_hints:w}=this._measure_cells((t,i)=>({width:h.col_widths[i],height:h.row_heights[t]}));return{size:this._measure_totals(f,d),row_heights:f,col_widths:d,size_hints:w}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:h,col_widths:g,size_hints:p}=this._measure_grid(t),_=this._state.rows.map((t,i)=>Object.assign(Object.assign({},t),{top:0,height:h[i],get bottom(){return this.top+this.height}})),f=this._state.cols.map((t,i)=>Object.assign(Object.assign({},t),{left:0,width:g[i],get right(){return this.left+this.width}})),d=p.map((t,i)=>Object.assign(Object.assign({},i),{outer:new r.BBox,inner:new r.BBox}));for(let i=0,e=this.absolute?t.top:0;i<s;i++){const t=_[i];t.top=e,e+=t.height+o}for(let i=0,s=this.absolute?t.left:0;i<e;i++){const t=f[i];t.left=s,s+=t.width+n}d.foreach(({r0:t,c0:i,r1:s,c1:e},h)=>{const{layout:l,size_hint:a}=h,{sizing:g}=l,{width:p,height:d}=a,w=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=f[e].width;return s}(i,e),u=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=_[e].height;return s}(t,s),m=i==e&&\"auto\"!=f[i].align?f[i].align:g.halign,y=t==s&&\"auto\"!=_[t].align?_[t].align:g.valign;let x=f[i].left;\"start\"==m?x+=g.margin.left:\"center\"==m?x+=c((w-p)/2):\"end\"==m&&(x+=w-g.margin.right-p);let b=_[t].top;\"start\"==y?b+=g.margin.top:\"center\"==y?b+=c((u-d)/2):\"end\"==y&&(b+=u-g.margin.bottom-d),h.outer=new r.BBox({left:x,top:b,width:p,height:d})});const w=_.map(()=>({start:new a(()=>0),end:new a(()=>0)})),u=f.map(()=>({start:new a(()=>0),end:new a(()=>0)}));d.foreach(({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:r}=o;null!=r&&(w[t].start.apply(n.top,t=>l(t,r.top)),w[s].end.apply(_[s].bottom-n.bottom,t=>l(t,r.bottom)),u[i].start.apply(n.left,t=>l(t,r.left)),u[e].end.apply(f[e].right-n.right,t=>l(t,r.right)))}),d.foreach(({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:h}=o;function l({left:t,right:i,top:s,bottom:e}){const o=h.width-t-i,n=h.height-s-e;return new r.BBox({left:t,top:s,width:o,height:n})}if(null!=n.inner){let r=l(n.inner);if(!1!==n.align){const o=w[t].start.get(h.top),n=w[s].end.get(_[s].bottom-h.bottom),c=u[i].start.get(h.left),a=u[e].end.get(f[e].right-h.right);try{r=l({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=r}else o.inner=h}),d.foreach((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)})}}s.Grid=p,p.__name__=\"Grid\";class _ extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:0,col:i})),this.rows=\"fit\"}}s.Row=_,_.__name__=\"Row\";class f extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:i,col:0})),this.cols=\"fit\"}}s.Column=f,f.__name__=\"Column\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(190),i=e(189),a=e(68);class c extends n.ContentLayoutable{constructor(e){super(),this.content_size=a.unsized(e,()=>new i.Sizeable(a.size(e)))}_content_size(){return this.content_size}}s.ContentBox=c,c.__name__=\"ContentBox\";class o extends n.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new i.Sizeable(e).bounded_to(this.sizing.size);return a.sized(this.el,t,()=>{const e=new i.Sizeable(a.content_size(this.el)),{border:t,padding:s}=a.extents(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)})}}s.VariadicBox=o,o.__name__=\"VariadicBox\";class r extends o{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=r,r.__name__=\"CachedVariadicBox\"},\n      function _(e,r,u){Object.defineProperty(u,\"__esModule\",{value:!0});var a=e(195);u.Expression=a.Expression;var n=e(196);u.Stack=n.Stack;var o=e(197);u.CumSum=o.CumSum},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(71);class i extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}v_compute(e){this._connected.has(e)||(this.connect(e.change,()=>this._result.delete(e)),this.connect(e.patching,()=>this._result.delete(e)),this.connect(e.streaming,()=>this._result.delete(e)),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=i,i.__name__=\"Expression\"},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),o=t(195),r=i.__importStar(t(18));class s extends o.Expression{constructor(t){super(t)}static init_Stack(){this.define({fields:[r.Array,[]]})}_v_compute(t){var e;const n=null!==(e=t.get_length())&&void 0!==e?e:0,i=new Float64Array(n);for(const e of this.fields){const o=t.data[e];if(null!=o)for(let t=0,e=Math.min(n,o.length);t<e;t++)i[t]+=o[t]}return i}}n.Stack=s,s.__name__=\"Stack\",s.init_Stack()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),u=e(195),o=i.__importStar(e(18));class r extends u.Expression{constructor(e){super(e)}static init_CumSum(){this.define({field:[o.String],include_zero:[o.Boolean,!1]})}_v_compute(e){const t=new Float64Array(e.get_length()||0),n=e.data[this.field],i=this.include_zero?1:0;t[0]=this.include_zero?0:n[0];for(let e=1;e<t.length;e++)t[e]=t[e-1]+n[e-i];return t}}n.CumSum=r,r.__name__=\"CumSum\",r.init_CumSum()},\n      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});var l=e(199);t.BooleanFilter=l.BooleanFilter;var i=e(201);t.CustomJSFilter=i.CustomJSFilter;var o=e(200);t.Filter=o.Filter;var F=e(202);t.GroupFilter=F.GroupFilter;var a=e(203);t.IndexFilter=a.IndexFilter},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(200),i=o.__importStar(e(18)),r=e(72),a=e(9),s=e(8);class g extends l.Filter{constructor(e){super(e)}static init_BooleanFilter(){this.define({booleans:[i.Array,null]})}compute_indices(e){const n=this.booleans;return null!=n&&n.length>0?a.every(n,s.isBoolean)?(n.length!==e.get_length()&&r.logger.warn(this+\": length of booleans doesn't match data source\"),a.range(0,n.length).filter(e=>!0===n[e])):(r.logger.warn(this+\": booleans should be array of booleans, defaulting to no filtering\"),null):(null!=n&&0==n.length?r.logger.warn(this+\": booleans is empty, defaulting to no filtering\"):r.logger.warn(this+\": booleans was not set, defaulting to no filtering\"),null)}}t.BooleanFilter=g,g.__name__=\"BooleanFilter\",g.init_BooleanFilter()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),l=i.__importStar(e(18)),o=e(8),s=e(9),a=e(72);class f extends n.Model{constructor(e){super(e)}static init_Filter(){this.define({filter:[l.Array,null]})}compute_indices(e){const t=this.filter;return null!=t?o.isArrayOf(t,o.isBoolean)?s.range(0,t.length).filter(e=>!0===t[e]):o.isArrayOf(t,o.isInteger)?t:(a.logger.warn(this+\": filter should either be array of only booleans or only integers, defaulting to no filtering\"),null):(a.logger.warn(this+\": filter was not set to be an array, defaulting to no filtering\"),null)}}r.Filter=f,f.__name__=\"Filter\",f.init_Filter()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),r=t(200),n=i.__importStar(t(18)),u=t(17),c=t(24);class o extends r.Filter{constructor(t){super(t)}static init_CustomJSFilter(){this.define({args:[n.Any,{}],code:[n.String,\"\"]})}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const t=c.use_strict(this.code);return new Function(...this.names,\"source\",t)}compute_indices(t){return this.filter=this.func(...this.values,t),super.compute_indices(t)}}s.CustomJSFilter=o,o.__name__=\"CustomJSFilter\",o.init_CustomJSFilter()},\n      function _(t,n,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),r=t(200),o=e.__importStar(t(18)),u=t(72),l=t(9);class s extends r.Filter{constructor(t){super(t),this.indices=null}static init_GroupFilter(){this.define({column_name:[o.String],group:[o.String]})}compute_indices(t){const n=t.get_column(this.column_name);return null==n?(u.logger.warn(\"group filter: groupby column not found in data source\"),null):(this.indices=l.range(0,t.get_length()||0).filter(t=>n[t]===this.group),0===this.indices.length&&u.logger.warn(`group filter: group '${this.group}' did not match any values in column '${this.column_name}'`),this.indices)}}i.GroupFilter=s,s.__name__=\"GroupFilter\",s.init_GroupFilter()},\n      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),r=e(200),s=t.__importStar(e(18)),l=e(72),d=e(8),o=e(9);class c extends r.Filter{constructor(e){super(e)}static init_IndexFilter(){this.define({indices:[s.Array,null]})}compute_indices(e){return null!=this.indices?o.every(this.indices,d.isInteger)?this.indices:(l.logger.warn(this+\": indices should be array of integers, defaulting to no filtering\"),null):(l.logger.warn(this+\": indices was not set, defaulting to no filtering\"),null)}}n.IndexFilter=c,c.__name__=\"IndexFilter\",c.init_IndexFilter()},\n      function _(r,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});var e=r(113);a.BasicTickFormatter=e.BasicTickFormatter;var c=r(154);a.CategoricalTickFormatter=c.CategoricalTickFormatter;var i=r(158);a.DatetimeTickFormatter=i.DatetimeTickFormatter;var o=r(205);a.FuncTickFormatter=o.FuncTickFormatter;var m=r(171);a.LogTickFormatter=m.LogTickFormatter;var F=r(174);a.MercatorTickFormatter=F.MercatorTickFormatter;var k=r(206);a.NumeralTickFormatter=k.NumeralTickFormatter;var T=r(207);a.PrintfTickFormatter=T.PrintfTickFormatter;var v=r(114);a.TickFormatter=v.TickFormatter},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),s=t(114),i=r.__importStar(t(18)),c=t(17),a=t(24);class u extends s.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map((t,e,r)=>n(t,e,r,...this.values))}}n.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n      function _(r,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=r(1),o=e.__importStar(r(161)),a=r(114),i=e.__importStar(r(18));class u extends a.TickFormatter{constructor(r){super(r)}static init_NumeralTickFormatter(){this.define({format:[i.String,\"0,0\"],language:[i.String,\"en\"],rounding:[i.RoundingFunction,\"round\"]})}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,t){const{format:n,language:e,_rounding_fn:a}=this;return r.map(r=>o.format(r,n,e,a))}}n.NumeralTickFormatter=u,u.__name__=\"NumeralTickFormatter\",u.init_NumeralTickFormatter()},\n      function _(t,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),n=t(114),o=t(160),a=e.__importStar(t(18));class c extends n.TickFormatter{constructor(t){super(t)}static init_PrintfTickFormatter(){this.define({format:[a.String,\"%s\"]})}doFormat(t,r){return t.map(t=>o.sprintf(this.format,t))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var v=a(209);r.AnnularWedge=v.AnnularWedge;var l=a(210);r.Annulus=l.Annulus;var t=a(211);r.Arc=t.Arc;var i=a(212);r.Bezier=i.Bezier;var n=a(213);r.Circle=n.Circle;var u=a(214);r.CenterRotatable=u.CenterRotatable;var c=a(215);r.Ellipse=c.Ellipse;var g=a(216);r.EllipseOval=g.EllipseOval;var A=a(89);r.Glyph=A.Glyph;var p=a(95);r.HArea=p.HArea;var s=a(217);r.HBar=s.HBar;var d=a(219);r.HexTile=d.HexTile;var R=a(220);r.Image=R.Image;var o=a(222);r.ImageRGBA=o.ImageRGBA;var y=a(223);r.ImageURL=y.ImageURL;var h=a(83);r.Line=h.Line;var m=a(225);r.MultiLine=m.MultiLine;var B=a(226);r.MultiPolygons=B.MultiPolygons;var P=a(227);r.Oval=P.Oval;var G=a(94);r.Patch=G.Patch;var H=a(228);r.Patches=H.Patches;var I=a(229);r.Quad=I.Quad;var L=a(230);r.Quadratic=L.Quadratic;var M=a(231);r.Ray=M.Ray;var O=a(232);r.Rect=O.Rect;var x=a(233);r.Segment=x.Segment;var C=a(234);r.Step=C.Step;var E=a(235);r.Text=E.Text;var Q=a(97);r.VArea=Q.VArea;var S=a(236);r.VBar=S.VBar;var T=a(237);r.Wedge=T.Wedge;var V=a(84);r.XYGlyph=V.XYGlyph},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),o=e(10),h=e(79);class u extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius,this._angle=new Float32Array(this._start_angle.length);for(let e=0,t=this._start_angle.length;e<t;e++)this._angle[e]=this._end_angle[e]-this._start_angle[e]}_render(e,t,{sx:s,sy:i,_start_angle:r,_angle:n,sinner_radius:a,souter_radius:_}){const o=this.model.properties.direction.value();for(const h of t)isNaN(s[h]+i[h]+a[h]+_[h]+r[h]+n[h])||(e.translate(s[h],i[h]),e.rotate(r[h]),e.moveTo(_[h],0),e.beginPath(),e.arc(0,0,_[h],0,n[h],o),e.rotate(n[h]),e.lineTo(a[h],0),e.arc(0,0,a[h],0,-n[h],!o),e.closePath(),e.rotate(-n[h]-r[h]),e.translate(-s[h],-i[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,h),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,h),e.stroke()))}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,a,_,u;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,_=i+this.max_outer_radius,a=r-this.max_outer_radius,u=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,_]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,o=s+this.max_outer_radius;[a,u]=this.renderer.yscale.r_invert(r,o)}const d=[];for(const e of this.index.indices({x0:n,x1:_,y0:a,y1:u})){const t=this.souter_radius[e]**2,s=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[_,o]=this.renderer.yscale.r_compute(r,this._y[e]),h=(n-a)**2+(_-o)**2;h<=t&&h>=s&&d.push([e,h])}const l=this.model.properties.direction.value(),c=[];for(const[e,i]of d){const r=Math.atan2(s-this.sy[e],t-this.sx[e]);o.angle_between(-r,-this._start_angle[e],-this._end_angle[e],l)&&c.push([e,i])}return h.Selection.from_hits(c)}draw_legend_for_index(e,t,s){n.generic_area_legend(this.visuals,e,t,s)}_scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+t*Math.cos(s),y:this.sy[e]+t*Math.sin(s)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}s.AnnularWedgeView=u,u.__name__=\"AnnularWedgeView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=u,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],inner_radius:[_.DistanceSpec],outer_radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.AnnularWedge=d,d.__name__=\"AnnularWedge\",d.init_AnnularWedge()},\n      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(18)),_=s(28),u=s(79);class o extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius}_render(s,i,{sx:e,sy:t,sinner_radius:r,souter_radius:a}){for(const n of i)if(!isNaN(e[n]+t[n]+r[n]+a[n])){if(this.visuals.fill.doit){if(this.visuals.fill.set_vectorize(s,n),s.beginPath(),_.is_ie)for(const i of[!1,!0])s.arc(e[n],t[n],r[n],0,Math.PI,i),s.arc(e[n],t[n],a[n],Math.PI,0,!i);else s.arc(e[n],t[n],r[n],0,2*Math.PI,!0),s.arc(e[n],t[n],a[n],2*Math.PI,0,!1);s.fill()}this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),s.beginPath(),s.arc(e[n],t[n],r[n],0,2*Math.PI),s.moveTo(e[n]+a[n],t[n]),s.arc(e[n],t[n],a[n],0,2*Math.PI),s.stroke())}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,_,o;if(\"data\"==this.model.properties.outer_radius.units)a=t-this.max_outer_radius,_=t+this.max_outer_radius,n=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const s=i-this.max_outer_radius,t=i+this.max_outer_radius;[a,_]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_outer_radius,u=e+this.max_outer_radius;[n,o]=this.renderer.yscale.r_invert(r,u)}const h=[];for(const s of this.index.indices({x0:a,x1:_,y0:n,y1:o})){const i=this.souter_radius[s]**2,e=this.sinner_radius[s]**2,[a,n]=this.renderer.xscale.r_compute(t,this._x[s]),[_,u]=this.renderer.yscale.r_compute(r,this._y[s]),o=(a-n)**2+(_-u)**2;o<=i&&o>=e&&h.push([s,o])}return u.Selection.from_hits(h)}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,_=new Array(n);_[a]=(i+t)/2;const u=new Array(n);u[a]=(e+r)/2;const o=.5*Math.min(Math.abs(t-i),Math.abs(r-e)),h=new Array(n);h[a]=.4*o;const d=new Array(n);d[a]=.8*o,this._render(s,[a],{sx:_,sy:u,sinner_radius:h,souter_radius:d})}}e.AnnulusView=o,o.__name__=\"AnnulusView\";class h extends r.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=o,this.mixins([a.LineVector,a.FillVector]),this.define({inner_radius:[n.DistanceSpec],outer_radius:[n.DistanceSpec]})}}e.Annulus=h,h.__name__=\"Annulus\",h.init_Annulus()},\n      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(1),r=e(84),n=e(92),a=e(23),_=t.__importStar(e(18));class c extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,i,{sx:s,sy:t,sradius:r,_start_angle:n,_end_angle:a}){if(this.visuals.line.doit){const _=this.model.properties.direction.value();for(const c of i)isNaN(s[c]+t[c]+r[c]+n[c]+a[c])||(e.beginPath(),e.arc(s[c],t[c],r[c],n[c],a[c],_),this.visuals.line.set_vectorize(e,c),e.stroke())}}draw_legend_for_index(e,i,s){n.generic_line_legend(this.visuals,e,i,s)}}s.ArcView=c,c.__name__=\"ArcView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=c,this.mixins(a.LineVector),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.Arc=d,d.__name__=\"Arc\",d.init_Arc()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),n=t(85),c=t(89),o=t(92);function r(t,e,i,s,n,c,o,r){const h=[],_=[[],[]];for(let _=0;_<=2;_++){let a,x,l;if(0===_?(x=6*t-12*i+6*n,a=-3*t+9*i-9*n+3*o,l=3*i-3*t):(x=6*e-12*s+6*c,a=-3*e+9*s-9*c+3*r,l=3*s-3*e),Math.abs(a)<1e-12){if(Math.abs(x)<1e-12)continue;const t=-l/x;0<t&&t<1&&h.push(t);continue}const y=x*x-4*l*a,u=Math.sqrt(y);if(y<0)continue;const d=(-x+u)/(2*a);0<d&&d<1&&h.push(d);const f=(-x-u)/(2*a);0<f&&f<1&&h.push(f)}let a=h.length;const x=a;for(;a--;){const x=h[a],l=1-x,y=l*l*l*t+3*l*l*x*i+3*l*x*x*n+x*x*x*o;_[0][a]=y;const u=l*l*l*e+3*l*l*x*s+3*l*x*x*c+x*x*x*r;_[1][a]=u}return _[0][x]=t,_[1][x]=e,_[0][x+1]=o,_[1][x+1]=r,[Math.min(..._[0]),Math.max(..._[1]),Math.max(..._[0]),Math.min(..._[1])]}class h extends c.GlyphView{_index_data(){const t=[];for(let e=0,i=this._x0.length;e<i;e++){if(isNaN(this._x0[e]+this._x1[e]+this._y0[e]+this._y1[e]+this._cx0[e]+this._cy0[e]+this._cx1[e]+this._cy1[e]))continue;const[i,s,n,c]=r(this._x0[e],this._y0[e],this._x1[e],this._y1[e],this._cx0[e],this._cy0[e],this._cx1[e],this._cy1[e]);t.push({x0:i,y0:s,x1:n,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sx0:i,sy0:s,sx1:n,sy1:c,scx0:o,scy0:r,scx1:h,scy1:_}){if(this.visuals.line.doit)for(const a of e)isNaN(i[a]+s[a]+n[a]+c[a]+o[a]+r[a]+h[a]+_[a])||(t.beginPath(),t.moveTo(i[a],s[a]),t.bezierCurveTo(o[a],r[a],h[a],_[a],n[a],c[a]),this.visuals.line.set_vectorize(t,a),t.stroke())}draw_legend_for_index(t,e,i){o.generic_line_legend(this.visuals,t,e,i)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}i.BezierView=h,h.__name__=\"BezierView\";class _ extends c.Glyph{constructor(t){super(t)}static init_Bezier(){this.prototype.default_view=h,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx0\",\"cy0\"],[\"cx1\",\"cy1\"]]),this.mixins(s.LineVector)}}i.Bezier=_,_.__name__=\"Bezier\",_.init_Bezier()},\n      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(93)),h=t.__importStar(s(18)),d=s(9),_=s(12),l=s(79);class c extends r.XYGlyphView{_map_data(){if(null!=this._radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this._radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.max(s,i[e]));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.min(s,i[e]));break}}else this.sradius=this._radius,this.max_size=2*this.max_radius;else this.sradius=_.map(this._size,s=>s/2)}_mask_data(){const[s,i]=this.renderer.plot_view.frame.bbox.ranges;let e,t,r,a;if(null!=this._radius&&\"data\"==this.model.properties.radius.units){const n=s.start,h=s.end;[e,r]=this.renderer.xscale.r_invert(n,h),e-=this.max_radius,r+=this.max_radius;const d=i.start,_=i.end;[t,a]=this.renderer.yscale.r_invert(d,_),t-=this.max_radius,a+=this.max_radius}else{const n=s.start-this.max_size,h=s.end+this.max_size;[e,r]=this.renderer.xscale.r_invert(n,h);const d=i.start-this.max_size,_=i.end+this.max_size;[t,a]=this.renderer.yscale.r_invert(d,_)}return this.index.indices({x0:e,x1:r,y0:t,y1:a})}_render(s,i,{sx:e,sy:t,sradius:r}){for(const a of i)isNaN(e[a]+t[a]+r[a])||(s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,a),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.stroke()))}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,h,d;if(null!=this._radius&&\"data\"==this.model.properties.radius.units)a=t-this.max_radius,n=t+this.max_radius,h=r-this.max_radius,d=r+this.max_radius;else{const s=i-this.max_size,t=i+this.max_size;[a,n]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size,_=e+this.max_size;[h,d]=this.renderer.yscale.r_invert(r,_)}const _=this.index.indices({x0:a,x1:n,y0:h,y1:d}),c=[];if(null!=this._radius&&\"data\"==this.model.properties.radius.units)for(const s of _){const i=this.sradius[s]**2,[e,a]=this.renderer.xscale.r_compute(t,this._x[s]),[n,h]=this.renderer.yscale.r_compute(r,this._y[s]),d=(e-a)**2+(n-h)**2;d<=i&&c.push([s,d])}else for(const s of _){const t=this.sradius[s]**2,r=(this.sx[s]-i)**2+(this.sy[s]-e)**2;r<=t&&c.push([s,r])}return l.Selection.from_hits(c)}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=this.index.indices({x0:r,x1:a,y0:n,y1:h});return new l.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),_=this.index.indices({x0:a,x1:n,y0:h,y1:d});return new l.Selection({indices:_})}_hit_poly(s){const{sx:i,sy:e}=s,t=d.range(0,this.sx.length),r=[];for(let s=0,a=t.length;s<a;s++){const a=t[s];n.point_in_poly(this.sx[s],this.sy[s],i,e)&&r.push(a)}return new l.Selection({indices:r})}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,h=new Array(n);h[a]=(i+t)/2;const d=new Array(n);d[a]=(e+r)/2;const _=new Array(n);_[a]=.2*Math.min(Math.abs(t-i),Math.abs(r-e)),this._render(s,[a],{sx:h,sy:d,sradius:_})}}e.CircleView=c,c.__name__=\"CircleView\";class o extends r.XYGlyph{constructor(s){super(s)}static init_Circle(){this.prototype.default_view=c,this.mixins([a.LineVector,a.FillVector]),this.define({angle:[h.AngleSpec,0],size:[h.DistanceSpec,{units:\"screen\",value:4}],radius:[h.DistanceSpec,void 0,{optional:!0}],radius_dimension:[h.RadiusDimension,\"x\"]})}}e.Circle=o,o.__name__=\"Circle\",o.init_Circle()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=e(1),i=e(84),l=e(23),s=a.__importStar(e(18));class c extends i.XYGlyphView{}n.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class o extends i.XYGlyph{constructor(e){super(e)}static init_CenterRotatable(){this.mixins([l.LineVector,l.FillVector]),this.define({angle:[s.AngleSpec,0],width:[s.DistanceSpec],height:[s.DistanceSpec]})}}n.CenterRotatable=o,o.__name__=\"CenterRotatable\",o.init_CenterRotatable()},\n      function _(e,l,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(216);class t extends s.EllipseOvalView{}i.EllipseView=t,t.__name__=\"EllipseView\";class _ extends s.EllipseOval{constructor(e){super(e)}static init_Ellipse(){this.prototype.default_view=t}}i.Ellipse=_,_.__name__=\"Ellipse\",_.init_Ellipse()},\n      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),h=t(214),r=e.__importStar(t(93)),a=t(79);class _ extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"):this.sw=this._width,\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"):this.sh=this._height}_render(t,s,{sx:i,sy:e,sw:h,sh:r,_angle:a}){for(const _ of s)isNaN(i[_]+e[_]+h[_]+r[_]+a[_])||(t.beginPath(),t.ellipse(i[_],e[_],h[_]/2,r[_]/2,a[_],0,2*Math.PI),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,_),t.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,_),t.stroke()))}_hit_point(t){let s,i,e,h,_,n,l,d,o,x;const{sx:m,sy:c}=t,w=this.renderer.xscale.invert(m),p=this.renderer.yscale.invert(c);\"data\"==this.model.properties.width.units?(s=w-this.max_width,i=w+this.max_width):(l=m-this.max_width,d=m+this.max_width,[s,i]=this.renderer.xscale.r_invert(l,d)),\"data\"==this.model.properties.height.units?(e=p-this.max_height,h=p+this.max_height):(o=c-this.max_height,x=c+this.max_height,[e,h]=this.renderer.yscale.r_invert(o,x));const y=this.index.indices({x0:s,x1:i,y0:e,y1:h}),u=[];for(const t of y)_=r.point_in_ellipse(m,c,this._angle[t],this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),_&&([l,d]=this.renderer.xscale.r_compute(w,this._x[t]),[o,x]=this.renderer.yscale.r_compute(p,this._y[t]),n=(l-d)**2+(o-x)**2,u.push([t,n]));return a.Selection.from_hits(u)}draw_legend_for_index(t,{x0:s,y0:i,x1:e,y1:h},r){const a=r+1,_=new Array(a);_[r]=(s+e)/2;const n=new Array(a);n[r]=(i+h)/2;const l=this.sw[r]/this.sh[r],d=.8*Math.min(Math.abs(e-s),Math.abs(h-i)),o=new Array(a),x=new Array(a);l>1?(o[r]=d,x[r]=d/l):(o[r]=d*l,x[r]=d),this._render(t,[r],{sx:_,sy:n,sw:o,sh:x,_angle:[0]})}_bounds({x0:t,x1:s,y0:i,y1:e}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:i-this.max_h2,y1:e+this.max_h2}}}i.EllipseOvalView=_,_.__name__=\"EllipseOvalView\";class n extends h.CenterRotatable{constructor(t){super(t)}}i.EllipseOval=n,n.__name__=\"EllipseOval\"},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class _ extends h.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return this.sy[t]}_index_data(){return this._index_box(this._y.length)}_lrtb(t){return[Math.min(this._left[t],this._right[t]),Math.max(this._left[t],this._right[t]),this._y[t]+.5*this._height[t],this._y[t]-.5*this._height[t]]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new Float64Array(t),this.sbottom=new Float64Array(t);for(let s=0;s<t;s++)this.stop[s]=this.sy[s]-this.sh[s]/2,this.sbottom[s]=this.sy[s]+this.sh[s]/2;this._clamp_viewport()}}e.HBarView=_,_.__name__=\"HBarView\";class a extends h.Box{constructor(t){super(t)}static init_HBar(){this.prototype.default_view=_,this.coords([[\"left\",\"y\"]]),this.define({height:[r.NumberSpec],right:[r.CoordinateSpec]}),this.override({left:0})}}e.HBar=a,a.__name__=\"HBar\",a.init_HBar()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),r=t(85),n=t(89),h=t(92),o=t(79);class a extends n.GlyphView{get_anchor_point(t,e,i){const s=Math.min(this.sleft[e],this.sright[e]),r=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),h=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:s,y:n};case\"top_center\":return{x:(s+r)/2,y:n};case\"top_right\":return{x:r,y:n};case\"bottom_left\":return{x:s,y:h};case\"bottom_center\":return{x:(s+r)/2,y:h};case\"bottom_right\":return{x:r,y:h};case\"center_left\":return{x:s,y:(n+h)/2};case\"center\":return{x:(s+r)/2,y:(n+h)/2};case\"center_right\":return{x:r,y:(n+h)/2};default:return null}}_index_box(t){const e=[];for(let i=0;i<t;i++){const[t,s,r,n]=this._lrtb(i);!isNaN(t+s+r+n)&&isFinite(t+s+r+n)&&e.push({x0:Math.min(t,s),y0:Math.min(r,n),x1:Math.max(s,t),y1:Math.max(r,n),i})}return new r.SpatialIndex(e)}_render(t,e,{sleft:i,sright:s,stop:r,sbottom:n}){for(const h of e)isNaN(i[h]+r[h]+s[h]+n[h])||(t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()),this.visuals.hatch.doit2(t,h,()=>{t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.stroke()))}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,i=this.stop.length;for(let s=0;s<i;s++)this.stop[s]=Math.max(this.stop[s],e.start),this.sbottom[s]=Math.min(this.sbottom[s],e.end),this.sleft[s]=Math.max(this.sleft[s],t.start),this.sright[s]=Math.min(this.sright[s],t.end)}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){const{sx:e,sy:i}=t,s=this.renderer.xscale.invert(e),r=this.renderer.yscale.invert(i),n=this.index.indices({x0:s,y0:r,x1:s,y1:r});return new o.Selection({indices:n})}_hit_span(t){const{sx:e,sy:i}=t;let s;if(\"v\"==t.direction){const t=this.renderer.yscale.invert(i),e=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(e.start,e.end);s=this.index.indices({x0:r,y0:t,x1:n,y1:t})}else{const t=this.renderer.xscale.invert(e),i=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(i.start,i.end);s=this.index.indices({x0:t,y0:r,x1:t,y1:n})}return new o.Selection({indices:s})}draw_legend_for_index(t,e,i){h.generic_area_legend(this.visuals,t,e,i)}}i.BoxView=a,a.__name__=\"BoxView\";class c extends n.Glyph{constructor(t){super(t)}static init_Box(){this.mixins([s.LineVector,s.FillVector,s.HatchVector])}}i.Box=c,c.__name__=\"Box\",c.init_Box()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(89),n=i.__importStar(e(93)),o=i.__importStar(e(18)),a=e(23),l=e(85),h=e(92),c=e(79);class _ extends r.GlyphView{scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}_set_data(){const e=this._q.length,t=this.model.size,s=this.model.aspect_scale;if(this._x=new Float64Array(e),this._y=new Float64Array(e),\"pointytop\"==this.model.orientation)for(let i=0;i<e;i++)this._x[i]=t*Math.sqrt(3)*(this._q[i]+this._r[i]/2)/s,this._y[i]=3*-t/2*this._r[i];else for(let i=0;i<e;i++)this._x[i]=3*t/2*this._q[i],this._y[i]=-t*Math.sqrt(3)*(this._r[i]+this._q[i]/2)*s}_index_data(){let e=this.model.size,t=Math.sqrt(3)*e/2;\"flattop\"==this.model.orientation?([t,e]=[e,t],e*=this.model.aspect_scale):t/=this.model.aspect_scale;const s=[];for(let i=0;i<this._x.length;i++){const r=this._x[i],n=this._y[i];!isNaN(r+n)&&isFinite(r+n)&&s.push({x0:r-t,y0:n-e,x1:r+t,y1:n+e,i})}return new l.SpatialIndex(s)}map_data(){[this.sx,this.sy]=this.map_to_screen(this._x,this._y),[this.svx,this.svy]=this._get_unscaled_vertices()}_get_unscaled_vertices(){const e=this.model.size,t=this.model.aspect_scale;if(\"pointytop\"==this.model.orientation){const s=this.renderer.yscale,i=this.renderer.xscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))/t,o=r/2;return[[0,-n,-n,0,n,n],[r,o,-o,-r,-o,o]]}{const s=this.renderer.xscale,i=this.renderer.yscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))*t,o=r/2;return[[r,o,-o,-r,-o,o],[0,-n,-n,0,n,n]]}}_render(e,t,{sx:s,sy:i,svx:r,svy:n,_scale:o}){for(const a of t)if(!isNaN(s[a]+i[a]+o[a])){e.translate(s[a],i[a]),e.beginPath();for(let t=0;t<6;t++)e.lineTo(r[t]*o[a],n[t]*o[a]);e.closePath(),e.translate(-s[a],-i[a]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,a),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,a),e.stroke())}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s),o=this.index.indices({x0:i,y0:r,x1:i,y1:r}),a=[];for(const e of o)n.point_in_poly(t-this.sx[e],s-this.sy[e],this.svx,this.svy)&&a.push(e);return new c.Selection({indices:a})}_hit_span(e){const{sx:t,sy:s}=e;let i;if(\"v\"==e.direction){const e=this.renderer.yscale.invert(s),t=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(t.start,t.end);i=this.index.indices({x0:r,y0:e,x1:n,y1:e})}else{const e=this.renderer.xscale.invert(t),s=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(s.start,s.end);i=this.index.indices({x0:e,y0:r,x1:e,y1:n})}return new c.Selection({indices:i})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:r}=e,[n,o]=this.renderer.xscale.r_invert(t,s),[a,l]=this.renderer.yscale.r_invert(i,r),h=this.index.indices({x0:n,x1:o,y0:a,y1:l});return new c.Selection({indices:h})}draw_legend_for_index(e,t,s){h.generic_area_legend(this.visuals,e,t,s)}}s.HexTileView=_,_.__name__=\"HexTileView\";class d extends r.Glyph{constructor(e){super(e)}static init_HexTile(){this.prototype.default_view=_,this.coords([[\"r\",\"q\"]]),this.mixins([a.LineVector,a.FillVector]),this.define({size:[o.Number,1],aspect_scale:[o.Number,1],scale:[o.NumberSpec,1],orientation:[o.HexTileOrientation,\"pointytop\"]}),this.override({line_color:null})}}s.HexTile=d,d.__name__=\"HexTile\",d.init_HexTile()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(1),i=e(221),n=e(115),s=_.__importStar(e(18));class r extends i.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,()=>this._update_image())}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.plot_view.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}a.ImageView=r,r.__name__=\"ImageView\";class o extends i.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=r,this.define({color_mapper:[s.Instance,()=>new n.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})}}a.Image=o,o.__name__=\"Image\",o.init_Image()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(84),h=s.__importStar(e(18)),n=e(79),_=e(85),r=e(9),d=e(26);class l extends a.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_render(e,t,{image_data:i,sx:s,sy:a,sw:h,sh:n}){const _=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const _ of t){if(null==i[_]||isNaN(s[_]+a[_]+h[_]+n[_]))continue;const t=a[_];e.translate(0,t),e.scale(1,-1),e.translate(0,-t),e.drawImage(i[_],0|s[_],0|a[_],h[_],n[_]),e.translate(0,t),e.scale(1,-1),e.translate(0,-t)}e.setImageSmoothingEnabled(_)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this._image.length;t<i;t++){if(null!=e&&e.indexOf(t)<0)continue;const i=this._image[t];let s;d.is_NDArray(i)?(s=i,this._height[t]=i.shape[0],this._width[t]=i.shape[1]):(s=r.concat(i),this._height[t]=i.length,this._width[t]=i[0].length);const a=this._flat_img_to_buf8(s);this._set_image_data_from_buffer(t,a)}}_index_data(){const e=[];for(let t=0,i=this._x.length;t<i;t++){const[i,s,a,h]=this._lrtb(t);!isNaN(i+s+a+h)&&isFinite(i+s+a+h)&&e.push({x0:i,y0:h,x1:s,y1:a,i:t})}return new _.SpatialIndex(e)}_lrtb(e){const t=this.renderer.xscale.source_range,i=this._x[e],s=t.is_reversed?i-this._dw[e]:i+this._dw[e],a=this.renderer.yscale.source_range,h=this._y[e],n=a.is_reversed?h-this._dh[e]:h+this._dh[e],[_,r]=i<s?[i,s]:[s,i],[d,l]=h<n?[h,n]:[n,h];return[_,r,l,d]}_set_width_heigh_data(){null!=this.image_data&&this.image_data.length==this._image.length||(this.image_data=new Array(this._image.length)),null!=this._width&&this._width.length==this._image.length||(this._width=new Array(this._image.length)),null!=this._height&&this._height.length==this._image.length||(this._height=new Array(this._image.length))}_get_or_create_canvas(e){const t=this.image_data[e];if(null!=t&&t.width==this._width[e]&&t.height==this._height[e])return t;{const t=document.createElement(\"canvas\");return t.width=this._width[e],t.height=this._height[e],t}}_set_image_data_from_buffer(e,t){const i=this._get_or_create_canvas(e),s=i.getContext(\"2d\"),a=s.getImageData(0,0,this._width[e],this._height[e]);a.data.set(t),s.putImageData(a,0,0),this.image_data[e]=i}_map_data(){switch(this.model.properties.dw.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,this._dw,\"edge\",this.model.dilate);break;case\"screen\":this.sw=this._dw}switch(this.model.properties.dh.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,this._dh,\"edge\",this.model.dilate);break;case\"screen\":this.sh=this._dh}}_image_index(e,t,i){const[s,a,h,n]=this._lrtb(e),_=this._width[e],r=this._height[e],d=(a-s)/_,l=(h-n)/r;let g=Math.floor((t-s)/d),o=Math.floor((i-n)/l);return this.renderer.xscale.source_range.is_reversed&&(g=_-g-1),this.renderer.yscale.source_range.is_reversed&&(o=r-o-1),{index:e,dim1:g,dim2:o,flat_index:o*_+g}}_hit_point(e){const{sx:t,sy:i}=e,s=this.renderer.xscale.invert(t),a=this.renderer.yscale.invert(i),h=this.index.indices({x0:s,x1:s,y0:a,y1:a}),_=new n.Selection;for(const e of h)t!=1/0&&i!=1/0&&_.image_indices.push(this._image_index(e,s,a));return _}}i.ImageBaseView=l,l.__name__=\"ImageBaseView\";class g extends a.XYGlyph{constructor(e){super(e)}static init_ImageBase(){this.define({image:[h.NumberSpec],dw:[h.DistanceSpec],dh:[h.DistanceSpec],dilate:[h.Boolean,!1],global_alpha:[h.Number,1]})}}i.ImageBase=g,g.__name__=\"ImageBase\",g.init_ImageBase()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(221),i=e(8);class n extends _.ImageBaseView{_flat_img_to_buf8(e){let t;return t=i.isArray(e)?new Uint32Array(e):e,new Uint8Array(t.buffer)}}a.ImageRGBAView=n,n.__name__=\"ImageRGBAView\";class r extends _.ImageBase{constructor(e){super(e)}static init_ImageRGBA(){this.prototype.default_view=n}}a.ImageRGBA=r,r.__name__=\"ImageRGBA\",r.init_ImageRGBA()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),a=i.__importStar(e(18)),n=e(12),h=e(85),l=e(224);class _ extends r.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1}initialize(){super.initialize(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_index_data(){return new h.SpatialIndex([])}_set_data(){null!=this.image&&this.image.length==this._url.length||(this.image=n.map(this._url,()=>null));const{retry_attempts:e,retry_timeout:t}=this.model;for(let s=0,i=this._url.length;s<i;s++){const i=this._url[s];null!=i&&\"\"!=i&&new l.ImageLoader(i,{loaded:e=>{this.image[s]=e,this.renderer.request_render()},attempts:e+1,timeout:t})}const s=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,r=this._x.length,a=new Array(s?2*r:r),h=new Array(i?2*r:r);for(let e=0;e<r;e++)a[e]=this._x[e],h[e]=this._y[e];if(s)for(let e=0;e<r;e++)a[r+e]=this._x[e]+this._w[e];if(i)for(let e=0;e<r;e++)h[r+e]=this._y[e]+this._h[e];const _=n.min(a),o=n.max(a),d=n.min(h),c=n.max(h);this._bounds_rect={x0:_,x1:o,y0:d,y1:c}}has_finished(){return super.has_finished()&&1==this._images_rendered}_map_data(){const e=null!=this.model.w?this._w:n.map(this._x,()=>NaN),t=null!=this.model.h?this._h:n.map(this._x,()=>NaN);switch(this.model.properties.w.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,e,\"edge\",this.model.dilate);break;case\"screen\":this.sw=e}switch(this.model.properties.h.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,t,\"edge\",this.model.dilate);break;case\"screen\":this.sh=t}}_render(e,t,{image:s,sx:i,sy:r,sw:a,sh:n,_angle:h}){const{frame:l}=this.renderer.plot_view;e.rect(l._left.value+1,l._top.value+1,l._width.value-2,l._height.value-2),e.clip();let _=!0;for(const l of t){if(isNaN(i[l]+r[l]+h[l]))continue;const t=s[l];null!=t?this._render_image(e,l,t,i,r,a,n,h):_=!1}_&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,i,r){switch(e){case\"top_left\":return[t,s];case\"top_center\":return[t-i/2,s];case\"top_right\":return[t-i,s];case\"center_right\":return[t-i,s-r/2];case\"bottom_right\":return[t-i,s-r];case\"bottom_center\":return[t-i/2,s-r];case\"bottom_left\":return[t,s-r];case\"center_left\":return[t,s-r/2];case\"center\":return[t-i/2,s-r/2]}}_render_image(e,t,s,i,r,a,n,h){isNaN(a[t])&&(a[t]=s.width),isNaN(n[t])&&(n[t]=s.height);const{anchor:l}=this.model,[_,o]=this._final_sx_sy(l,i[t],r[t],a[t],n[t]);e.save(),e.globalAlpha=this.model.global_alpha;const d=a[t]/2,c=n[t]/2;h[t]?(e.translate(_,o),e.translate(d,c),e.rotate(h[t]),e.translate(-d,-c),e.drawImage(s,0,0,a[t],n[t]),e.translate(d,c),e.rotate(-h[t]),e.translate(-d,-c),e.translate(-_,-o)):e.drawImage(s,_,o,a[t],n[t]),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=_,_.__name__=\"ImageURLView\";class o extends r.XYGlyph{constructor(e){super(e)}static init_ImageURL(){this.prototype.default_view=_,this.define({url:[a.StringSpec],anchor:[a.Anchor,\"top_left\"],global_alpha:[a.Number,1],angle:[a.AngleSpec,0],w:[a.DistanceSpec],h:[a.DistanceSpec],dilate:[a.Boolean,!1],retry_attempts:[a.Number,0],retry_timeout:[a.Number,0]})}}s.ImageURL=o,o.__name__=\"ImageURL\",o.init_ImageURL()},\n      function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(72);class a{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:a=1}=e;this.promise=new Promise((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const a=`unable to load ${i} image after ${t} attempts`;if(s.logger.warn(a),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());s.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout(()=>this._image.src=i,a)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i})}get finished(){return this._finished}get image(){return this._image}}t.ImageLoader=a,a.__name__=\"ImageLoader\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(85),l=t(23),o=i.__importStar(t(93)),r=t(9),h=t(17),_=t(89),c=t(92),a=t(79);class x extends _.GlyphView{_index_data(){const t=[];for(let e=0,s=this._xs.length;e<s;e++){if(null==this._xs[e]||0===this._xs[e].length)continue;const s=this._xs[e],i=[];for(let t=0,e=s.length;t<e;t++){const e=s[t];isNaN(e)||i.push(e)}const n=this._ys[e],l=[];for(let t=0,e=n.length;t<e;t++){const e=n[t];isNaN(e)||l.push(e)}const[o,h]=[r.min(i),r.max(i)],[_,c]=[r.min(l),r.max(l)];t.push({x0:o,y0:_,x1:h,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sxs:s,sys:i}){for(const n of e){const[e,l]=[s[n],i[n]];this.visuals.line.set_vectorize(t,n);for(let s=0,i=e.length;s<i;s++)0!=s?isNaN(e[s])||isNaN(l[s])?(t.stroke(),t.beginPath()):t.lineTo(e[s],l[s]):(t.beginPath(),t.moveTo(e[s],l[s]));t.stroke()}}_hit_point(t){const e={x:t.sx,y:t.sy};let s=9999;const i=new Map;for(let t=0,n=this.sxs.length;t<n;t++){const n=Math.max(2,this.visuals.line.cache_select(\"line_width\",t)/2);let l=null;for(let i=0,r=this.sxs[t].length-1;i<r;i++){const r={x:this.sxs[t][i],y:this.sys[t][i]},h={x:this.sxs[t][i+1],y:this.sys[t][i+1]},_=o.dist_to_segment(e,r,h);_<n&&_<s&&(s=_,l=[i])}null!=l&&i.set(t,l)}return new a.Selection({indices:[...i.keys()],multiline_indices:h.to_object(i)})}_hit_span(t){const{sx:e,sy:s}=t;let i,n;\"v\"===t.direction?(i=this.renderer.yscale.invert(s),n=this._ys):(i=this.renderer.xscale.invert(e),n=this._xs);const l=new Map;for(let t=0,e=n.length;t<e;t++){const e=[];for(let s=0,l=n[t].length-1;s<l;s++)n[t][s]<=i&&i<=n[t][s+1]&&e.push(s);e.length>0&&l.set(t,e)}return new a.Selection({indices:[...l.keys()],multiline_indices:h.to_object(l)})}get_interpolation_hit(t,e,s){const[i,n,l,o]=[this._xs[t][e],this._ys[t][e],this._xs[t][e+1],this._ys[t][e+1]];return c.line_interpolation(this.renderer,s,i,n,l,o)}draw_legend_for_index(t,e,s){c.generic_line_legend(this.visuals,t,e,s)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}s.MultiLineView=x,x.__name__=\"MultiLineView\";class u extends _.Glyph{constructor(t){super(t)}static init_MultiLine(){this.prototype.default_view=x,this.coords([[\"xs\",\"ys\"]]),this.mixins(l.LineVector)}}s.MultiLine=u,u.__name__=\"MultiLine\",u.init_MultiLine()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(85),r=e(89),o=e(92),l=e(9),h=e(12),_=e(23),a=i.__importStar(e(93)),c=e(79),d=e(8),x=e(11);class y extends r.GlyphView{_index_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++){const i=this._xs[t][s][0],n=this._ys[t][s][0];0!=i.length&&e.push({x0:l.min(i),y0:l.min(n),x1:l.max(i),y1:l.max(n),i:t})}return this.hole_index=this._index_hole_data(),new n.SpatialIndex(e)}_index_hole_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++)if(this._xs[t][s].length>1)for(let i=1,n=this._xs[t][s].length;i<n;i++){const n=this._xs[t][s][i],r=this._ys[t][s][i];0!=n.length&&e.push({x0:l.min(n),y0:l.min(r),x1:l.max(n),y1:l.max(r),i:t})}return new n.SpatialIndex(e)}_mask_data(){const e=this.renderer.plot_view.frame.x_ranges.default,[t,s]=[e.min,e.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:s,y0:n,y1:r}).sort((e,t)=>e-t).filter((e,t,s)=>0===t||e!==s[t-1])}_inner_loop(e,t,s){e.beginPath();for(let i=0,n=t.length;i<n;i++)for(let n=0,r=t[i].length;n<r;n++){const r=t[i][n],o=s[i][n];for(let t=0,s=r.length;t<s;t++)0!=t?e.lineTo(r[t],o[t]):e.moveTo(r[t],o[t]);e.closePath()}}_render(e,t,{sxs:s,sys:i}){if(this.visuals.fill.doit||this.visuals.line.doit)for(const n of t){const[t,r]=[s[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,n),this._inner_loop(e,t,r),e.fill(\"evenodd\")),this.visuals.hatch.doit2(e,n,()=>{this._inner_loop(e,t,r),e.fill(\"evenodd\")},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,n),this._inner_loop(e,t,r),e.stroke())}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],o=[i,i,n,n],[l,h]=this.renderer.xscale.r_invert(t,s),[_,d]=this.renderer.yscale.r_invert(i,n),x=this.index.indices({x0:l,x1:h,y0:_,y1:d}),y=[];for(let e=0,t=x.length;e<t;e++){const t=x[e],s=this.sxs[t],i=this.sys[t];let n=!0;for(let e=0,t=s.length;e<t;e++){for(let t=0,l=s[e][0].length;t<l;t++){const l=s[e][0][t],h=i[e][0][t];if(!a.point_in_poly(l,h,r,o)){n=!1;break}}if(!n)break}n&&y.push(t)}return new c.Selection({indices:y})}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(s),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=this.hole_index.indices({x0:i,y0:n,x1:i,y1:n}),l=[];for(let e=0,i=r.length;e<i;e++){const i=r[e],n=this.sxs[i],h=this.sys[i];for(let e=0,r=n.length;e<r;e++){const r=n[e].length;if(a.point_in_poly(t,s,n[e][0],h[e][0]))if(1==r)l.push(i);else if(-1==o.indexOf(i))l.push(i);else if(r>1){let o=!1;for(let i=1;i<r;i++){const r=n[e][i],l=h[e][i];if(a.point_in_poly(t,s,r,l)){o=!0;break}}o||l.push(i)}}}return new c.Selection({indices:l})}_get_snap_coord(e){return h.sum(e)/e.length}scenterx(e,t,s){if(1==this.sxs[e].length)return this._get_snap_coord(this.sxs[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(i[e][0])}x.unreachable()}scentery(e,t,s){if(1==this.sys[e].length)return this._get_snap_coord(this.sys[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(n[e][0])}x.unreachable()}map_data(){const e=this;for(let[t,s]of this.model._coords){const i=\"s\"+t,n=\"s\"+s;if(t=\"_\"+t,s=\"_\"+s,null!=e[t]&&(d.isArray(e[t][0])||d.isTypedArray(e[t][0]))){const r=e[t].length;e[i]=new Array(r),e[n]=new Array(r);for(let o=0;o<r;o++){const r=e[t][o].length;e[i][o]=new Array(r),e[n][o]=new Array(r);for(let l=0;l<r;l++){const r=e[t][o][l].length;e[i][o][l]=new Array(r),e[n][o][l]=new Array(r);for(let h=0;h<r;h++){const[r,_]=this.map_to_screen(e[t][o][l][h],e[s][o][l][h]);e[i][o][l][h]=r,e[n][o][l][h]=_}}}}}}draw_legend_for_index(e,t,s){o.generic_area_legend(this.visuals,e,t,s)}}s.MultiPolygonsView=y,y.__name__=\"MultiPolygonsView\";class f extends r.Glyph{constructor(e){super(e)}static init_MultiPolygons(){this.prototype.default_view=y,this.coords([[\"xs\",\"ys\"]]),this.mixins([_.LineVector,_.FillVector,_.HatchVector])}}s.MultiPolygons=f,f.__name__=\"MultiPolygons\",f.init_MultiPolygons()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const l=e(216);class s extends l.EllipseOvalView{_map_data(){super._map_data();const{sw:e}=this,t=e.length;for(let a=0;a<t;a++)e[a]*=.75}}a.OvalView=s,s.__name__=\"OvalView\";class _ extends l.EllipseOval{constructor(e){super(e)}static init_Oval(){this.prototype.default_view=s}}a.Oval=_,_.__name__=\"Oval\",_.init_Oval()},\n      function _(s,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=s(1),n=s(85),r=s(89),o=s(92),l=s(9),_=s(12),h=s(23),c=i.__importStar(s(93)),a=s(79),d=s(11);class u extends r.GlyphView{_build_discontinuous_object(s){const t=[];for(let e=0,i=s.length;e<i;e++){t[e]=[];let i=l.copy(s[e]);for(;i.length>0;){const s=l.find_last_index(i,s=>isNaN(s));let n;s>=0?n=i.splice(s):(n=i,i=[]);const r=n.filter(s=>!isNaN(s));t[e].push(r)}}return t}_index_data(){const s=this._build_discontinuous_object(this._xs),t=this._build_discontinuous_object(this._ys),e=[];for(let i=0,n=this._xs.length;i<n;i++)for(let n=0,r=s[i].length;n<r;n++){const r=s[i][n],o=t[i][n];0!=r.length&&e.push({x0:l.min(r),y0:l.min(o),x1:l.max(r),y1:l.max(o),i})}return new n.SpatialIndex(e)}_mask_data(){const s=this.renderer.plot_view.frame.x_ranges.default,[t,e]=[s.min,s.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:e,y0:n,y1:r}).sort((s,t)=>s-t)}_inner_loop(s,t,e,i){for(let n=0,r=t.length;n<r;n++)0!=n?isNaN(t[n]+e[n])?(s.closePath(),i.apply(s),s.beginPath()):s.lineTo(t[n],e[n]):(s.beginPath(),s.moveTo(t[n],e[n]));s.closePath(),i.call(s)}_render(s,t,{sxs:e,sys:i}){this.sxss=this._build_discontinuous_object(e),this.syss=this._build_discontinuous_object(i);for(const n of t){const[t,r]=[e[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,n),this._inner_loop(s,t,r,s.fill)),this.visuals.hatch.doit2(s,n,()=>this._inner_loop(s,t,r,s.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),this._inner_loop(s,t,r,s.stroke))}}_hit_rect(s){const{sx0:t,sx1:e,sy0:i,sy1:n}=s,r=[t,e,e,t],o=[i,i,n,n],[l,_]=this.renderer.xscale.r_invert(t,e),[h,d]=this.renderer.yscale.r_invert(i,n),u=this.index.indices({x0:l,x1:_,y0:h,y1:d}),x=[];for(let s=0,t=u.length;s<t;s++){const t=u[s],e=this.sxs[t],i=this.sys[t];let n=!0;for(let s=0,t=e.length;s<t;s++){const t=e[s],l=i[s];if(!c.point_in_poly(t,l,r,o)){n=!1;break}}n&&x.push(t)}return new a.Selection({indices:x})}_hit_point(s){const{sx:t,sy:e}=s,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(e),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=[];for(let s=0,i=r.length;s<i;s++){const i=r[s],n=this.sxss[i],l=this.syss[i];for(let s=0,r=n.length;s<r;s++)c.point_in_poly(t,e,n[s],l[s])&&o.push(i)}return new a.Selection({indices:o})}_get_snap_coord(s){return _.sum(s)/s.length}scenterx(s,t,e){if(1==this.sxss[s].length)return this._get_snap_coord(this.sxs[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(i[s])}d.unreachable()}scentery(s,t,e){if(1==this.syss[s].length)return this._get_snap_coord(this.sys[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(n[s])}d.unreachable()}draw_legend_for_index(s,t,e){o.generic_area_legend(this.visuals,s,t,e)}}e.PatchesView=u,u.__name__=\"PatchesView\";class x extends r.Glyph{constructor(s){super(s)}static init_Patches(){this.prototype.default_view=u,this.coords([[\"xs\",\"ys\"]]),this.mixins([h.LineVector,h.FillVector,h.HatchVector])}}e.Patches=x,x.__name__=\"Patches\",x.init_Patches()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(218);class _ extends i.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._right.length)}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}s.QuadView=_,_.__name__=\"QuadView\";class o extends i.Box{constructor(t){super(t)}static init_Quad(){this.prototype.default_view=_,this.coords([[\"right\",\"bottom\"],[\"left\",\"top\"]])}}s.Quad=o,o.__name__=\"Quad\",o.init_Quad()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(23),n=t(85),r=t(89),_=t(92);function a(t,i,e){if(i==(t+e)/2)return[t,e];{const s=(t-i)/(t-2*i+e),n=t*(1-s)**2+2*i*(1-s)*s+e*s**2;return[Math.min(t,e,n),Math.max(t,e,n)]}}class c extends r.GlyphView{_index_data(){const t=[];for(let i=0,e=this._x0.length;i<e;i++){if(isNaN(this._x0[i]+this._x1[i]+this._y0[i]+this._y1[i]+this._cx[i]+this._cy[i]))continue;const[e,s]=a(this._x0[i],this._cx[i],this._x1[i]),[n,r]=a(this._y0[i],this._cy[i],this._y1[i]);t.push({x0:e,y0:n,x1:s,y1:r,i})}return new n.SpatialIndex(t)}_render(t,i,{sx0:e,sy0:s,sx1:n,sy1:r,scx:_,scy:a}){if(this.visuals.line.doit)for(const c of i)isNaN(e[c]+s[c]+n[c]+r[c]+_[c]+a[c])||(t.beginPath(),t.moveTo(e[c],s[c]),t.quadraticCurveTo(_[c],a[c],n[c],r[c]),this.visuals.line.set_vectorize(t,c),t.stroke())}draw_legend_for_index(t,i,e){_.generic_line_legend(this.visuals,t,i,e)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}e.QuadraticView=c,c.__name__=\"QuadraticView\";class o extends r.Glyph{constructor(t){super(t)}static init_Quadratic(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx\",\"cy\"]]),this.mixins(s.LineVector)}}e.Quadratic=o,o.__name__=\"Quadratic\",o.init_Quadratic()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),a=e(92),l=e(23),r=s.__importStar(e(18));class _ extends n.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this._length):this.slength=this._length}_render(e,t,{sx:i,sy:s,slength:n,_angle:a}){if(this.visuals.line.doit){const l=2*(this.renderer.plot_view.frame._width.value+this.renderer.plot_view.frame._height.value);for(let e=0,t=n.length;e<t;e++)0==n[e]&&(n[e]=l);for(const l of t)isNaN(i[l]+s[l]+a[l]+n[l])||(e.translate(i[l],s[l]),e.rotate(a[l]),e.beginPath(),e.moveTo(0,0),e.lineTo(n[l],0),this.visuals.line.set_vectorize(e,l),e.stroke(),e.rotate(-a[l]),e.translate(-i[l],-s[l]))}}draw_legend_for_index(e,t,i){a.generic_line_legend(this.visuals,e,t,i)}}i.RayView=_,_.__name__=\"RayView\";class h extends n.XYGlyph{constructor(e){super(e)}static init_Ray(){this.prototype.default_view=_,this.mixins(l.LineVector),this.define({length:[r.DistanceSpec],angle:[r.AngleSpec]})}}i.Ray=h,h.__name__=\"Ray\",h.init_Ray()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(214),a=t(92),r=i.__importStar(t(18)),n=t(12),_=t(79);class l extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this._width,this.renderer.xscale);else{this.sw=this._width;const t=this.sx.length;this.sx0=new Float64Array(t);for(let s=0;s<t;s++)this.sx0[s]=this.sx[s]-this.sw[s]/2}if(\"data\"==this.model.properties.height.units)[this.sh,this.sy1]=this._map_dist_corner_for_data_side_length(this._y,this._height,this.renderer.yscale);else{this.sh=this._height;const t=this.sy.length;this.sy1=new Float64Array(t);for(let s=0;s<t;s++)this.sy1[s]=this.sy[s]-this.sh[s]/2}const t=this.sw.length;this.ssemi_diag=new Float64Array(t);for(let s=0;s<t;s++)this.ssemi_diag[s]=Math.sqrt(this.sw[s]/2*this.sw[s]/2+this.sh[s]/2*this.sh[s]/2)}_render(t,s,{sx:e,sy:i,sx0:h,sy1:a,sw:r,sh:n,_angle:_}){if(this.visuals.fill.doit)for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||(this.visuals.fill.set_vectorize(t,l),_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.fillRect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.fillRect(h[l],a[l],r[l],n[l]));if(this.visuals.line.doit){t.beginPath();for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||0!=r[l]&&0!=n[l]&&(_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.rect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.rect(h[l],a[l],r[l],n[l]),this.visuals.line.set_vectorize(t,l),t.stroke(),t.beginPath());t.stroke()}}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){let{sx:s,sy:e}=t;const i=this.renderer.xscale.invert(s),h=this.renderer.yscale.invert(e),a=[];for(let t=0,s=this.sx0.length;t<s;t++)a.push(this.sx0[t]+this.sw[t]/2);const r=[];for(let t=0,s=this.sy1.length;t<s;t++)r.push(this.sy1[t]+this.sh[t]/2);const l=n.max(this._ddist(0,a,this.ssemi_diag)),o=n.max(this._ddist(1,r,this.ssemi_diag)),d=i-l,c=i+l,x=h-o,y=h+o,f=[];for(const t of this.index.indices({x0:d,x1:c,y0:x,y1:y})){let i,h;if(this._angle[t]){const a=Math.sin(-this._angle[t]),r=Math.cos(-this._angle[t]),n=r*(s-this.sx[t])-a*(e-this.sy[t])+this.sx[t],_=a*(s-this.sx[t])+r*(e-this.sy[t])+this.sy[t];s=n,e=_,h=Math.abs(this.sx[t]-s)<=this.sw[t]/2,i=Math.abs(this.sy[t]-e)<=this.sh[t]/2}else h=s-this.sx0[t]<=this.sw[t]&&s-this.sx0[t]>=0,i=e-this.sy1[t]<=this.sh[t]&&e-this.sy1[t]>=0;i&&h&&f.push(t)}return new _.Selection({indices:f})}_map_dist_corner_for_data_side_length(t,s,e){const i=t.length,h=new Float64Array(i),a=new Float64Array(i);for(let e=0;e<i;e++)h[e]=Number(t[e])-s[e]/2,a[e]=Number(t[e])+s[e]/2;const r=e.v_compute(h),n=e.v_compute(a),_=this.sdist(e,h,s,\"edge\",this.model.dilate);let l=r;for(let t=0,s=r.length;t<s;t++)if(r[t]!=n[t]){l=r[t]<n[t]?r:n;break}return[_,l]}_ddist(t,s,e){const i=0==t?this.renderer.xscale:this.renderer.yscale,h=s,a=h.length,r=new Float64Array(a);for(let t=0;t<a;t++)r[t]=h[t]+e[t];const n=i.v_invert(h),_=i.v_invert(r),l=n.length,o=new Float64Array(l);for(let t=0;t<l;t++)o[t]=Math.abs(_[t]-n[t]);return o}draw_legend_for_index(t,s,e){a.generic_area_legend(this.visuals,t,s,e)}_bounds({x0:t,x1:s,y0:e,y1:i}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:e-this.max_h2,y1:i+this.max_h2}}}e.RectView=l,l.__name__=\"RectView\";class o extends h.CenterRotatable{constructor(t){super(t)}static init_Rect(){this.prototype.default_view=l,this.define({dilate:[r.Boolean,!1]})}}e.Rect=o,o.__name__=\"Rect\",o.init_Rect()},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1).__importStar(e(93)),n=e(23),r=e(85),h=e(89),_=e(92),a=e(79);class c extends h.GlyphView{_index_data(){const e=[];for(let s=0,t=this._x0.length;s<t;s++){const t=this._x0[s],i=this._x1[s],n=this._y0[s],r=this._y1[s];isNaN(t+i+n+r)||e.push({x0:Math.min(t,i),y0:Math.min(n,r),x1:Math.max(t,i),y1:Math.max(n,r),i:s})}return new r.SpatialIndex(e)}_render(e,s,{sx0:t,sy0:i,sx1:n,sy1:r}){if(this.visuals.line.doit)for(const h of s)isNaN(t[h]+i[h]+n[h]+r[h])||(e.beginPath(),e.moveTo(t[h],i[h]),e.lineTo(n[h],r[h]),this.visuals.line.set_vectorize(e,h),e.stroke())}_hit_point(e){const{sx:s,sy:t}=e,n={x:s,y:t},[r,h]=this.renderer.xscale.r_invert(s-2,s+2),[_,c]=this.renderer.yscale.r_invert(t-2,t+2),o=this.index.indices({x0:r,y0:_,x1:h,y1:c}),x=[];for(const e of o){const s=Math.max(2,this.visuals.line.cache_select(\"line_width\",e)/2)**2,t={x:this.sx0[e],y:this.sy0[e]},r={x:this.sx1[e],y:this.sy1[e]};i.dist_to_segment_squared(n,t,r)<s&&x.push(e)}return new a.Selection({indices:x})}_hit_span(e){const[s,t]=this.renderer.plot_view.frame.bbox.ranges,{sx:i,sy:n}=e;let r,h,_;\"v\"==e.direction?(_=this.renderer.yscale.invert(n),[r,h]=[this._y0,this._y1]):(_=this.renderer.xscale.invert(i),[r,h]=[this._x0,this._x1]);const c=[],[o,x]=this.renderer.xscale.r_invert(s.start,s.end),[l,d]=this.renderer.yscale.r_invert(t.start,t.end),y=this.index.indices({x0:o,y0:l,x1:x,y1:d});for(const s of y){(r[s]<=_&&_<=h[s]||h[s]<=_&&_<=r[s])&&c.push(s);const t=1.5+this.visuals.line.cache_select(\"line_width\",s)/2;r[s]==h[s]&&(\"h\"==e.direction?Math.abs(this.sx0[s]-i)<=t&&c.push(s):Math.abs(this.sy0[s]-n)<=t&&c.push(s))}return new a.Selection({indices:c})}scenterx(e){return(this.sx0[e]+this.sx1[e])/2}scentery(e){return(this.sy0[e]+this.sy1[e])/2}draw_legend_for_index(e,s,t){_.generic_line_legend(this.visuals,e,s,t)}}t.SegmentView=c,c.__name__=\"SegmentView\";class o extends h.Glyph{constructor(e){super(e)}static init_Segment(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"]]),this.mixins(n.LineVector)}}t.Segment=o,o.__name__=\"Segment\",o.init_Segment()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(84),o=e(92),r=e(23),l=n.__importStar(e(18));class a extends s.XYGlyphView{_render(e,t,{sx:i,sy:n}){let s=!1,o=null;this.visuals.line.set_value(e);const r=t.length;if(!(r<2)){e.beginPath(),e.moveTo(i[0],n[0]);for(const r of t){let t,l,a,_;switch(this.model.mode){case\"before\":[t,a]=[i[r-1],n[r]],[l,_]=[i[r],n[r]];break;case\"after\":[t,a]=[i[r],n[r-1]],[l,_]=[i[r],n[r]];break;case\"center\":{const e=(i[r-1]+i[r])/2;[t,a]=[e,n[r-1]],[l,_]=[e,n[r]];break}default:throw new Error(\"unexpected\")}if(s){if(!isFinite(i[r]+n[r])){e.stroke(),e.beginPath(),s=!1,o=r;continue}null!=o&&r-o>1&&(e.stroke(),s=!1)}s?(e.lineTo(t,a),e.lineTo(l,_)):(e.beginPath(),e.moveTo(i[r],n[r]),s=!0),o=r}e.lineTo(i[r-1],n[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}}i.StepView=a,a.__name__=\"StepView\";class _ extends s.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=a,this.mixins(r.LineVector),this.define({mode:[l.StepMode,\"before\"]})}}i.Step=_,_.__name__=\"Step\",_.init_Step()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(84),_=t(23),o=i.__importStar(t(93)),h=i.__importStar(t(18)),r=t(132),l=t(11),a=t(79);class c extends n.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,{sx:s,sy:i,_x_offset:n,_y_offset:_,_angle:o,_text:h}){this._sys=[],this._sxs=[];for(const l of e)if(this._sxs[l]=[],this._sys[l]=[],!isNaN(s[l]+i[l]+n[l]+_[l]+o[l])&&null!=h[l]&&this.visuals.text.doit){const e=\"\"+h[l];t.save(),t.translate(s[l]+n[l],i[l]+_[l]),t.rotate(o[l]),this.visuals.text.set_vectorize(t,l);const a=this.visuals.text.cache_select(\"font\",l),{height:c}=r.measure_font(a),x=this.visuals.text.text_line_height.value()*c;if(-1==e.indexOf(\"\\n\")){t.fillText(e,0,0);const o=s[l]+n[l],h=i[l]+_[l],r=t.measureText(e).width,[a,c]=this._text_bounds(o,h,r,x);this._sxs[l].push(a),this._sys[l].push(c)}else{const o=e.split(\"\\n\"),h=x*o.length,r=this.visuals.text.cache_select(\"text_baseline\",l);let a;switch(r){case\"top\":a=0;break;case\"middle\":a=-h/2+x/2;break;case\"bottom\":a=-h+x;break;default:a=0,console.warn(`'${r}' baseline not supported with multi line text`)}for(const e of o){t.fillText(e,0,a);const o=s[l]+n[l],h=a+i[l]+_[l],r=t.measureText(e).width,[c,u]=this._text_bounds(o,h,r,x);this._sxs[l].push(c),this._sys[l].push(u),a+=x}}t.restore()}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t<this._sxs.length;t++){const n=this._sxs[t],_=this._sys[t],h=n.length;for(let r=0,l=h;r<l;r++){const[l,a]=this._rotate_point(e,s,n[h-1][0],_[h-1][0],-this._angle[t]);o.point_in_poly(l,a,n[r],_[r])&&i.push(t)}}return new a.Selection({indices:i})}_scenterxy(t){const e=this._sxs[t],s=this._sys[t];l.assert(0!=e.length&&0!=s.length);const i=e[0][0],n=s[0][0],_=(e[0][2]+i)/2,o=(s[0][2]+n)/2,[h,r]=this._rotate_point(_,o,i,n,this._angle[t]);return{x:h,y:r}}scenterx(t){return this._scenterxy(t).x}scentery(t){return this._scenterxy(t).y}}s.TextView=c,c.__name__=\"TextView\";class x extends n.XYGlyph{constructor(t){super(t)}static init_Text(){this.prototype.default_view=c,this.mixins(_.TextVector),this.define({text:[h.NullStringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,0],y_offset:[h.NumberSpec,0]})}}s.Text=x,x.__name__=\"Text\",x.init_Text()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class o extends h.BoxView{scenterx(t){return this.sx[t]}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._x.length)}_lrtb(t){return[this._x[t]-this._width[t]/2,this._x[t]+this._width[t]/2,Math.max(this._top[t],this._bottom[t]),Math.min(this._top[t],this._bottom[t])]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new Float64Array(t),this.sright=new Float64Array(t);for(let s=0;s<t;s++)this.sleft[s]=this.sx[s]-this.sw[s]/2,this.sright[s]=this.sx[s]+this.sw[s]/2;this._clamp_viewport()}}e.VBarView=o,o.__name__=\"VBarView\";class _ extends h.Box{constructor(t){super(t)}static init_VBar(){this.prototype.default_view=o,this.coords([[\"x\",\"bottom\"]]),this.define({width:[r.NumberSpec],top:[r.CoordinateSpec]}),this.override({bottom:0})}}e.VBar=_,_.__name__=\"VBar\",_.init_VBar()},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),d=e(10),o=e(79);class l extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,s,{sx:t,sy:i,sradius:r,_start_angle:n,_end_angle:a}){const _=this.model.properties.direction.value();for(const d of s)isNaN(t[d]+i[d]+r[d]+n[d]+a[d])||(e.beginPath(),e.arc(t[d],i[d],r[d],n[d],a[d],_),e.lineTo(t[d],i[d]),e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,d),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,d),e.stroke()))}_hit_point(e){let s,t,i,r,n,a,_,l,c;const{sx:h,sy:u}=e,p=this.renderer.xscale.invert(h),x=this.renderer.yscale.invert(u),g=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=p-g,_=p+g,l=x-g,c=x+g):(t=h-g,i=h+g,[a,_]=this.renderer.xscale.r_invert(t,i),r=u-g,n=u+g,[l,c]=this.renderer.yscale.r_invert(r,n));const y=[];for(const e of this.index.indices({x0:a,x1:_,y0:l,y1:c})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(p,this._x[e]),[r,n]=this.renderer.yscale.r_compute(x,this._y[e]),s=(t-i)**2+(r-n)**2,s<=a&&y.push([e,s])}const f=this.model.properties.direction.value(),v=[];for(const[e,s]of y){const t=Math.atan2(u-this.sy[e],h-this.sx[e]);d.angle_between(-t,-this._start_angle[e],-this._end_angle[e],f)&&v.push([e,s])}return o.Selection.from_hits(v)}draw_legend_for_index(e,s,t){n.generic_area_legend(this.visuals,e,s,t)}_scenterxy(e){const s=this.sradius[e]/2,t=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+s*Math.cos(t),y:this.sy[e]+s*Math.sin(t)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}t.WedgeView=l,l.__name__=\"WedgeView\";class c extends r.XYGlyph{constructor(e){super(e)}static init_Wedge(){this.prototype.default_view=l,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}t.Wedge=c,c.__name__=\"Wedge\",c.init_Wedge()},\n      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const r=e(1);r.__exportStar(e(101),_),r.__exportStar(e(239),_),r.__exportStar(e(240),_)},\n      function _(e,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=e(71);class n extends t.Model{constructor(e){super(e)}}r.LayoutProvider=n,n.__name__=\"LayoutProvider\"},\n      function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(1),r=t(239),s=o.__importStar(t(18));class n extends r.LayoutProvider{constructor(t){super(t)}static init_StaticLayoutProvider(){this.define({graph_layout:[s.Any,{}]})}get_node_coordinates(t){const a=[],e=[],o=t.data.index;for(let t=0,r=o.length;t<r;t++){const r=this.graph_layout[o[t]],[s,n]=null!=r?r:[NaN,NaN];a.push(s),e.push(n)}return[a,e]}get_edge_coordinates(t){const a=[],e=[],o=t.data.start,r=t.data.end,s=null!=t.data.xs&&null!=t.data.ys;for(let n=0,u=o.length;n<u;n++){const u=null!=this.graph_layout[o[n]]&&null!=this.graph_layout[r[n]];if(s&&u)a.push(t.data.xs[n]),e.push(t.data.ys[n]);else{let t,s;[s,t]=u?[this.graph_layout[o[n]],this.graph_layout[r[n]]]:[[NaN,NaN],[NaN,NaN]],a.push([s[0],t[0]]),e.push([s[1],t[1]])}}return[a,e]}}e.StaticLayoutProvider=n,n.__name__=\"StaticLayoutProvider\",n.init_StaticLayoutProvider()},\n      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var i=e(242);d.Grid=i.Grid},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),s=e(151),r=n.__importStar(e(23)),_=n.__importStar(e(18)),o=e(8);class a extends s.GuideRendererView{render(){if(!this.model.visible)return;const e=this.layer.ctx;e.save(),this._draw_regions(e),this._draw_minor_grids(e),this._draw_grids(e),e.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render())}_draw_regions(e){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;this.visuals.band_fill.set_value(e);const[i,t]=this.grid_coords(\"major\",!1);for(let n=0;n<i.length-1;n++){if(n%2!=1)continue;const[s,r]=this.plot_view.map_to_screen(i[n],t[n],this.model.x_range_name,this.model.y_range_name),[_,o]=this.plot_view.map_to_screen(i[n+1],t[n+1],this.model.x_range_name,this.model.y_range_name);this.visuals.band_fill.doit&&e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0]),this.visuals.band_hatch.doit2(e,n,()=>{e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0])},()=>this.request_render())}}_draw_grids(e){if(!this.visuals.grid_line.doit)return;const[i,t]=this.grid_coords(\"major\");this._draw_grid_helper(e,this.visuals.grid_line,i,t)}_draw_minor_grids(e){if(!this.visuals.minor_grid_line.doit)return;const[i,t]=this.grid_coords(\"minor\");this._draw_grid_helper(e,this.visuals.minor_grid_line,i,t)}_draw_grid_helper(e,i,t,n){i.set_value(e);for(let i=0;i<t.length;i++){const[s,r]=this.plot_view.map_to_screen(t[i],n[i],this.model.x_range_name,this.model.y_range_name);e.beginPath(),e.moveTo(Math.round(s[0]),Math.round(r[0]));for(let i=1;i<s.length;i++)e.lineTo(Math.round(s[i]),Math.round(r[i]));e.stroke()}}ranges(){const e=this.model.dimension,i=(e+1)%2,t=this.plot_view.frame,n=[t.x_ranges[this.model.x_range_name],t.y_ranges[this.model.y_range_name]];return[n[e],n[i]]}computed_bounds(){const[e]=this.ranges(),i=this.model.bounds,t=[e.min,e.max];let n,s;if(o.isArray(i))n=Math.min(i[0],i[1]),s=Math.max(i[0],i[1]),n<t[0]&&(n=t[0]),s>t[1]&&(s=t[1]);else{[n,s]=t;for(const e of this.plot_view.axis_views)e.dimension==this.model.dimension&&e.model.x_range_name==this.model.x_range_name&&e.model.y_range_name==this.model.y_range_name&&([n,s]=e.computed_bounds)}return[n,s]}grid_coords(e,i=!0){const t=this.model.dimension,n=(t+1)%2,[s,r]=this.ranges();let[_,o]=this.computed_bounds();[_,o]=[Math.min(_,o),Math.max(_,o)];const a=[[],[]],d=this.model.get_ticker();if(null==d)return a;const l=d.get_ticks(_,o,s,r.min,{})[e],h=s.min,m=s.max,c=r.min,u=r.max;i||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=m&&l.push(m));for(let e=0;e<l.length;e++){if((l[e]==h||l[e]==m)&&i)continue;const s=[],r=[],_=2;for(let i=0;i<_;i++){const t=c+(u-c)/(_-1)*i;s.push(l[e]),r.push(t)}a[t].push(s),a[n].push(r)}return a}}t.GridView=a,a.__name__=\"GridView\";class d extends s.GuideRenderer{constructor(e){super(e)}static init_Grid(){this.prototype.default_view=a,this.mixins([[\"grid_\",r.Line],[\"minor_grid_\",r.Line],[\"band_\",r.Fill],[\"band_\",r.Hatch]]),this.define({bounds:[_.Any,\"auto\"],dimension:[_.Any,0],axis:[_.Instance],ticker:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}t.Grid=d,d.__name__=\"Grid\",d.init_Grid()},\n      function _(a,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});var e=a(244);r.Box=e.Box;var v=a(247);r.Column=v.Column;var x=a(248);r.GridBox=x.GridBox;var B=a(249);r.HTMLBox=B.HTMLBox;var n=a(245);r.LayoutDOM=n.LayoutDOM;var t=a(250);r.Row=t.Row;var u=a(251);r.Spacer=u.Spacer;var d=a(252);r.Panel=d.Panel,r.Tabs=d.Tabs;var i=a(259);r.WidgetBox=i.WidgetBox},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(245),o=n.__importStar(e(18));class c extends s.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends s.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define({children:[o.Array,[]],spacing:[o.Number,0]})}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(71),l=t(68),n=t(72),h=t(8),a=s.__importStar(t(18)),_=t(99),r=t(66),d=t(246);class u extends r.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval(()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))},250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],()=>this.invalidate_layout()),this.on_change([t.background,t.css_classes],()=>this.invalidate_render())}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map(t=>this._child_views.get(t))}async build_child_views(){await _.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),l.empty(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?t:\"\",l.classes(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_root?this.layout.sizing.margin:void 0;l.position(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build()}build(){return this.assert_root(),this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),n.logger.debug(`layout computed in ${Date.now()-t} ms`),this.notify_finished()}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:a,height:_}=this.model;null!=a&&(o.width=a),null!=_&&(o.height=_);const{max_width:r,max_height:d}=this.model;null!=r&&(o.max_width=r),null!=d&&(o.max_height=d),\"auto\"==e&&null!=a&&null!=_?o.aspect=a/_:h.isNumber(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if(h.isNumber(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:c}=this.model;return h.isArray(c)?[o.halign,o.valign]=c:o.halign=o.valign=c,o}_viewport_size(){return l.undisplayed(this.el,()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(d.bk_root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=l.extents(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=l.extents(t),{width:n,height:h}=t.getBoundingClientRect(),a=Math.ceil(n-i-e),_=Math.ceil(h-s-o);if(a>0||_>0)return{width:a>0?a:void 0,height:_>0?_:void 0}}return{}})}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map(t=>t.serializable_state())})}}e.LayoutDOMView=u,u.__name__=\"LayoutDOMView\";class c extends o.Model{constructor(t){super(t)}static init_LayoutDOM(){this.define({width:[a.Number,null],height:[a.Number,null],min_width:[a.Number,null],min_height:[a.Number,null],max_width:[a.Number,null],max_height:[a.Number,null],margin:[a.Any,[0,0,0,0]],width_policy:[a.Any,\"auto\"],height_policy:[a.Any,\"auto\"],aspect_ratio:[a.Any,null],sizing_mode:[a.SizingMode,null],visible:[a.Boolean,!0],disabled:[a.Boolean,!1],align:[a.Any,\"start\"],background:[a.Color,null],css_classes:[a.Array,[]]})}}e.LayoutDOM=c,c.__name__=\"LayoutDOM\",c.init_LayoutDOM()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_root=\"bk-root\"},\n      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),n=t(192),l=s.__importStar(t(18));class u extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new n.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class _ extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define({rows:[l.Any,\"auto\"]})}}i.Column=_,_.__name__=\"Column\",_.init_Column()},\n      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1),e=t(245),n=t(192),l=o.__importStar(t(18));class r extends e.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children.map(([t])=>t)}_update_layout(){this.layout=new n.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,i,s,o,e]of this.model.children){const n=this._child_views.get(t);this.layout.items.push({layout:n.layout,row:i,col:s,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}s.GridBoxView=r,r.__name__=\"GridBoxView\";class a extends e.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=r,this.define({children:[l.Array,[]],rows:[l.Any,\"auto\"],cols:[l.Any,\"auto\"],spacing:[l.Any,0]})}}s.GridBox=a,a.__name__=\"GridBox\",a.init_GridBox()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(245),_=e(188);class n extends s.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new _.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=n,n.__name__=\"HTMLBoxView\";class i extends s.LayoutDOM{constructor(e){super(e)}}o.HTMLBox=i,i.__name__=\"HTMLBox\"},\n      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),_=t(192),a=s.__importStar(t(18));class n extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new _.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=n,n.__name__=\"RowView\";class l extends e.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=n,this.define({cols:[a.Any,\"auto\"]})}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(245),s=e(188);class _ extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new s.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=_,_.__name__=\"SpacerView\";class o extends i.LayoutDOM{constructor(e){super(e)}static init_Spacer(){this.prototype.default_view=_}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(188),l=e(68),h=e(9),o=i.__importStar(e(18)),c=e(245),d=e(71),r=e(146),n=e(253),_=e(254),b=e(255),p=i.__importDefault(e(256)),u=i.__importDefault(e(257)),m=i.__importDefault(e(258));class v extends c.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,()=>this.rebuild()),this.connect(this.model.properties.active.change,()=>this.on_active_change())}styles(){return[...super.styles(),p.default,u.default,m.default]}get child_models(){return this.model.tabs.map(e=>e.child)}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const a=l.size(s),o=l.children(i).slice(0,3).map(e=>l.size(e)),{width:c,height:d}=super._measure(e);if(t){const t=a.width+h.sum(o.map(e=>e.width));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+h.sum(o.map(e=>e.height));return{width:c,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let o=1,c=1;switch(e){case\"above\":o-=1;break;case\"below\":o+=1;break;case\"left\":c-=1;break;case\"right\":c+=1}const d={layout:this.header,row:o,col:c},r=this.child_views.map(e=>({layout:e.layout,row:1,col:1}));this.layout=new a.Grid([d,...r]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",l.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=l.size(this.scroll_el),i=l.scroll_size(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",l.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",l.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)l.hide(e.el);const h=a[this.model.active];null!=h&&l.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map((t,s)=>{const i=l.div({class:[n.bk_tab,s==e?r.bk_active:null]},t.title);if(i.addEventListener(\"click\",e=>{e.target==e.currentTarget&&this.change_active(s)}),t.closable){const e=l.div({class:n.bk_close});e.addEventListener(\"click\",e=>{if(e.target==e.currentTarget){this.model.tabs=h.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}}),i.appendChild(e)}return i});this.headers_el=l.div({class:[n.bk_headers]},i),this.wrapper_el=l.div({class:n.bk_headers_wrapper},this.headers_el);const a=l.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},l.div({class:[b.bk_caret,r.bk_left]})),o=l.div({class:[_.bk_btn,_.bk_btn_default]},l.div({class:[b.bk_caret,r.bk_right]}));let c=0;const d=e=>()=>{const t=this.model.tabs.length;c=\"left\"==e?Math.max(c-1,0):Math.min(c+1,t-1),0==c?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),c==t-1?o.setAttribute(\"disabled\",\"\"):o.removeAttribute(\"disabled\");const i=l.children(this.headers_el).slice(0,c).map(e=>e.getBoundingClientRect());if(s){const e=-h.sum(i.map(e=>e.width));this.headers_el.style.left=e+\"px\"}else{const e=-h.sum(i.map(e=>e.height));this.headers_el.style.top=e+\"px\"}};a.addEventListener(\"click\",d(\"left\")),o.addEventListener(\"click\",d(\"right\")),this.scroll_el=l.div({class:_.bk_btn_group},a,o),this.header_el=l.div({class:[n.bk_tabs_header,r.bk_side(t)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=l.children(this.headers_el);for(const e of t)e.classList.remove(r.bk_active);t[e].classList.add(r.bk_active);const{child_views:s}=this;for(const e of s)l.hide(e.el);l.show(s[e].el)}}s.TabsView=v,v.__name__=\"TabsView\";class g extends c.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=v,this.define({tabs:[o.Array,[]],tabs_location:[o.Location,\"above\"],active:[o.Number,0]})}}s.Tabs=g,g.__name__=\"Tabs\",g.init_Tabs();class w extends d.Model{constructor(e){super(e)}static init_Panel(){this.define({title:[o.String,\"\"],child:[o.Instance],closable:[o.Boolean,!1]})}}s.Panel=w,w.__name__=\"Panel\",w.init_Panel()},\n      function _(e,b,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.bk_tabs_header=\"bk-tabs-header\",a.bk_headers_wrapper=\"bk-headers-wrapper\",a.bk_headers=\"bk-headers\",a.bk_tab=\"bk-tab\",a.bk_close=\"bk-close\"},\n      function _(n,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_btn=\"bk-btn\",t.bk_btn_group=\"bk-btn-group\",t.bk_btn_default=\"bk-btn-default\",t.bk_btn_primary=\"bk-btn-primary\",t.bk_btn_success=\"bk-btn-success\",t.bk_btn_warning=\"bk-btn-warning\",t.bk_btn_danger=\"bk-btn-danger\",t.bk_btn_type=function(n){switch(n){case\"default\":return t.bk_btn_default;case\"primary\":return t.bk_btn_primary;case\"success\":return t.bk_btn_success;case\"warning\":return t.bk_btn_warning;case\"danger\":return t.bk_btn_danger}},t.bk_dropdown_toggle=\"bk-dropdown-toggle\"},\n      function _(e,b,d){Object.defineProperty(d,\"__esModule\",{value:!0}),d.bk_menu=\"bk-menu\",d.bk_caret=\"bk-caret\",d.bk_divider=\"bk-divider\"},\n      function _(n,o,b){Object.defineProperty(b,\"__esModule\",{value:!0});b.default=\"\\n.bk-root .bk-btn {\\n  height: 100%;\\n  display: inline-block;\\n  text-align: center;\\n  vertical-align: middle;\\n  white-space: nowrap;\\n  cursor: pointer;\\n  padding: 6px 12px;\\n  font-size: 12px;\\n  border: 1px solid transparent;\\n  border-radius: 4px;\\n  outline: 0;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-btn:hover,\\n.bk-root .bk-btn:focus {\\n  text-decoration: none;\\n}\\n.bk-root .bk-btn:active,\\n.bk-root .bk-btn.bk-active {\\n  background-image: none;\\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\\n}\\n.bk-root .bk-btn[disabled] {\\n  cursor: not-allowed;\\n  pointer-events: none;\\n  opacity: 0.65;\\n  box-shadow: none;\\n}\\n.bk-root .bk-btn-default {\\n  color: #333;\\n  background-color: #fff;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n  background-color: #f5f5f5;\\n  border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n  background-color: #ebebeb;\\n  border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n  background-color: #e6e6e6;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n  color: #fff;\\n  background-color: #428bca;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n  background-color: #3681c1;\\n  border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n  background-color: #3276b1;\\n  border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n  background-color: #506f89;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n  color: #fff;\\n  background-color: #5cb85c;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n  background-color: #4eb24e;\\n  border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n  background-color: #47a447;\\n  border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n  background-color: #667b66;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n  color: #fff;\\n  background-color: #f0ad4e;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n  background-color: #eea43b;\\n  border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n  background-color: #ed9c28;\\n  border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n  background-color: #c89143;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n  color: #fff;\\n  background-color: #d9534f;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n  background-color: #d5433e;\\n  border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n  background-color: #d2322d;\\n  border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n  background-color: #a55350;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n  height: 100%;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n  margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n  border-bottom-right-radius: 0;\\n  border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n  border-bottom-left-radius: 0;\\n  border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n  border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n  flex: 0 0 0;\\n  -webkit-flex: 0 0 0;\\n  padding: 6px 6px;\\n}\\n\"},\n      function _(n,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});r.default=\"\\n.bk-root .bk-menu-icon {\\n  width: 28px;\\n  height: 28px;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-context-menu {\\n  position: absolute;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n  width: auto;\\n  height: auto;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-context-menu.bk-horizontal {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-context-menu.bk-vertical {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-context-menu > .bk-divider {\\n  cursor: default;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > .bk-divider {\\n  width: 1px;\\n  margin: 5px 0;\\n}\\n.bk-root .bk-context-menu.bk-vertical > .bk-divider {\\n  height: 1px;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider) {\\n  border: 1px solid transparent;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider).bk-active {\\n  border-color: #26aae1;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider):hover {\\n  background-color: #f9f9f9;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-bottom-left-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child {\\n  border-top-right-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-top-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child {\\n  border-bottom-left-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-menu {\\n  position: absolute;\\n  left: 0;\\n  width: 100%;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n  bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n  top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n  height: 1px;\\n  margin: 7.5px 0;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n  padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n  background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n  display: inline-block;\\n  vertical-align: middle;\\n  width: 0;\\n  height: 0;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-caret.bk-down {\\n  border-top: 4px solid;\\n}\\n.bk-root .bk-caret.bk-up {\\n  border-bottom: 4px solid;\\n}\\n.bk-root .bk-caret.bk-down,\\n.bk-root .bk-caret.bk-up {\\n  border-right: 4px solid transparent;\\n  border-left: 4px solid transparent;\\n}\\n.bk-root .bk-caret.bk-left {\\n  border-right: 4px solid;\\n}\\n.bk-root .bk-caret.bk-right {\\n  border-left: 4px solid;\\n}\\n.bk-root .bk-caret.bk-left,\\n.bk-root .bk-caret.bk-right {\\n  border-top: 4px solid transparent;\\n  border-bottom: 4px solid transparent;\\n}\\n\"},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default='\\n.bk-root .bk-tabs-header {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  overflow: hidden;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group {\\n  height: auto;\\n  margin-right: 5px;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group > .bk-btn {\\n  flex-grow: 0;\\n  -webkit-flex-grow: 0;\\n  height: auto;\\n  padding: 4px 4px;\\n}\\n.bk-root .bk-tabs-header .bk-headers-wrapper {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  overflow: hidden;\\n  color: #666666;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper {\\n  border-bottom: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper {\\n  border-left: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper {\\n  border-top: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper {\\n  border-right: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-above,\\n.bk-root .bk-tabs-header.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers,\\n.bk-root .bk-tabs-header.bk-below .bk-headers {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-left,\\n.bk-root .bk-tabs-header.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers,\\n.bk-root .bk-tabs-header.bk-right .bk-headers {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header .bk-headers {\\n  position: relative;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n}\\n.bk-root .bk-tabs-header .bk-tab {\\n  padding: 4px 8px;\\n  border: solid transparent;\\n  white-space: nowrap;\\n  cursor: pointer;\\n}\\n.bk-root .bk-tabs-header .bk-tab:hover {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .bk-tabs-header .bk-tab.bk-active {\\n  color: #4d4d4d;\\n  background-color: white;\\n  border-color: #e6e6e6;\\n}\\n.bk-root .bk-tabs-header .bk-tab .bk-close {\\n  margin-left: 10px;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-tab {\\n  border-width: 3px 1px 0px 1px;\\n  border-radius: 4px 4px 0 0;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-tab {\\n  border-width: 1px 3px 1px 0px;\\n  border-radius: 0 4px 4px 0;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-tab {\\n  border-width: 0px 1px 3px 1px;\\n  border-radius: 0 0 4px 4px;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-tab {\\n  border-width: 1px 0px 1px 3px;\\n  border-radius: 4px 0 0 4px;\\n}\\n.bk-root .bk-close {\\n  display: inline-block;\\n  width: 10px;\\n  height: 10px;\\n  vertical-align: middle;\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"gray\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"gray\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n.bk-root .bk-close:hover {\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"red\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"red\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n'},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(247);class _ extends o.ColumnView{}i.WidgetBoxView=_,_.__name__=\"WidgetBoxView\";class n extends o.Column{constructor(e){super(e)}static init_WidgetBox(){this.prototype.default_view=_}}i.WidgetBox=n,n.__name__=\"WidgetBox\",n.init_WidgetBox()},\n      function _(r,a,o){Object.defineProperty(o,\"__esModule\",{value:!0});var e=r(261);o.CategoricalColorMapper=e.CategoricalColorMapper;var p=r(263);o.CategoricalMarkerMapper=p.CategoricalMarkerMapper;var l=r(264);o.CategoricalPatternMapper=l.CategoricalPatternMapper;var C=r(116);o.ContinuousColorMapper=C.ContinuousColorMapper;var M=r(117);o.ColorMapper=M.ColorMapper;var t=r(115);o.LinearColorMapper=t.LinearColorMapper;var i=r(265);o.LogColorMapper=i.LogColorMapper},\n      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),a=r(262),c=r(117),i=o.__importStar(r(18));class s extends c.ColorMapper{constructor(r){super(r)}static init_CategoricalColorMapper(){this.define({factors:[i.Array],start:[i.Number,0],end:[i.Number]})}_v_compute(r,t,e,{nan_color:o}){a.cat_v_compute(r,this.factors,e,t,this.start,this.end,o)}}e.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(12),i=e(8);function u(e,n){if(e.length!=n.length)return!1;for(let t=0,l=e.length;t<l;t++)if(e[t]!==n[t])return!1;return!0}t._cat_equals=u,t.cat_v_compute=function(e,n,t,c,f,o,r){for(let _=0,g=e.length;_<g;_++){let 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init_CategoricalPatternMapper(){this.define({factors:[i.Array],patterns:[i.Array],start:[i.Number,0],end:[i.Number],default_value:[i.HatchPatternType,\" \"]})}v_compute(t){const e=new Array(t.length);return n.cat_v_compute(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=c,c.__name__=\"CategoricalPatternMapper\",c.init_CategoricalPatternMapper()},\n      function _(o,l,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=o(116),e=o(12);class i extends t.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,l,n,t){const{nan_color:i,low_color:h,high_color:c}=t,r=n.length,s=null!=this.low?this.low:e.min(o),u=null!=this.high?this.high:e.max(o),a=r/(Math.log(u)-Math.log(s)),g=n.length-1;for(let t=0,e=o.length;t<e;t++){const e=o[t];if(isNaN(e)){l[t]=i;continue}if(e>u){l[t]=null!=c?c:n[g];continue}if(e==u){l[t]=n[g];continue}if(e<s){l[t]=null!=h?h:n[0];continue}const r=Math.log(e)-Math.log(s);let 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init_Toolbar(){this.prototype.default_view=a.ToolbarBaseView,this.define({active_drag:[i.Any,\"auto\"],active_inspect:[i.Any,\"auto\"],active_scroll:[i.Any,\"auto\"],active_tap:[i.Any,\"auto\"],active_multi:[i.Any,null]})}connect_signals(){super.connect_signals();const{tools:t,active_drag:s,active_inspect:e,active_scroll:i,active_tap:c,active_multi:o}=this.properties;this.on_change([t,s,e,i,c,o],()=>this._init_tools())}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof n.InspectTool){let t=!1;for(const s of this.inspectors)s!=this.active_inspect?s.active=!1:t=!0;t||(this.active_inspect=null)}else if(c.isArray(this.active_inspect)){const t=o.intersection(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)o.includes(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t in this.gestures){const s=this.gestures[t];s.tools=o.sort_by(s.tools,t=>t.default_order);for(const t of s.tools)this.connect(t.properties.active.change,()=>this._active_change(t))}for(const s in this.gestures){const e=l(s);if(e){const i=this[e];if(\"auto\"==i){const e=this.gestures[s];0!=e.tools.length&&r(s)&&t(e.tools[0])}else null!=i&&(o.includes(this.tools,i)?t(i):this[e]=null)}}}}e.Toolbar=_,_.__name__=\"Toolbar\",_.init_Toolbar()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(1),s=e(275),i=e(282),_=n.__importStar(e(18));class c extends s.ButtonToolView{}o.InspectToolView=c,c.__name__=\"InspectToolView\";class l extends s.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}static 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mt.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=vt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(yt,mt,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(Tt,pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[\"auto\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime>e.time;if(this._input=t,!i||!n||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return 32},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Et,mt,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(It,mt,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return gt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,n=this.options.direction;return 30&n?e=t.overallVelocity:6&n?e=t.overallVelocityX:24&n&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&n&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=vt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(At,pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[\"manipulation\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime<e.time;if(this.reset(),1&t.eventType&&0===this.count)return this.failTimeout();if(i&&r&&n){if(4!=t.eventType)return this.failTimeout();var s=!this.pTime||t.timeStamp-this.pTime<e.interval,o=!this.pCenter||L(this.pCenter,t.center)<e.posThreshold;if(this.pTime=t.timeStamp,this.pCenter=t.center,o&&s?this.count+=1:this.count=1,this._input=t,0===this.count%e.taps)return this.hasRequireFailures()?(this._timer=l((function(){this.state=8,this.tryEmit()}),e.interval,this),2):8}return 32},failTimeout:function(){return this._timer=l((function(){this.state=32}),this.options.interval,this),32},reset:function(){clearTimeout(this._timer)},emit:function(){8==this.state&&(this._input.tapCount=this.count,this.manager.emit(this.options.event,this._input))}}),_t.VERSION=\"2.0.7\",_t.defaults={domEvents:!1,touchAction:\"compute\",enable:!0,inputTarget:null,inputClass:null,preset:[[Et,{enable:!1}],[yt,{enable:!1},[\"rotate\"]],[It,{direction:6}],[gt,{direction:6},[\"swipe\"]],[At],[At,{event:\"doubletap\",taps:2},[\"tap\"]],[Tt]],cssProps:{userSelect:\"none\",touchSelect:\"none\",touchCallout:\"none\",contentZooming:\"none\",userDrag:\"none\",tapHighlightColor:\"rgba(0,0,0,0)\"}};function Ct(t,e){var n;this.options=s({},_t.defaults,e||{}),this.options.inputTarget=this.options.inputTarget||t,this.handlers={},this.session={},this.recognizers=[],this.oldCssProps={},this.element=t,this.input=new((n=this).options.inputClass||(M?J:z?nt:R?rt:j))(n,F),this.touchAction=new lt(this,this.options.touchAction),St(this,!0),f(this.options.recognizers,(function(t){var e=this.add(new t[0](t[1]));t[2]&&e.recognizeWith(t[2]),t[3]&&e.requireFailure(t[3])}),this)}function St(t,e){var n,i=t.element;i.style&&(f(t.options.cssProps,(function(r,s){n=D(i.style,s),e?(t.oldCssProps[n]=i.style[n],i.style[n]=r):i.style[n]=t.oldCssProps[n]||\"\"})),e||(t.oldCssProps={}))}Ct.prototype={set:function(t){return s(this.options,t),t.touchAction&&this.touchAction.update(),t.inputTarget&&(this.input.destroy(),this.input.target=t.inputTarget,this.input.init()),this},stop:function(t){this.session.stopped=t?2:1},recognize:function(t){var e=this.session;if(!e.stopped){var n;this.touchAction.preventDefaults(t);var i=this.recognizers,r=e.curRecognizer;(!r||r&&8&r.state)&&(r=e.curRecognizer=null);for(var s=0;s<i.length;)n=i[s],2===e.stopped||r&&n!=r&&!n.canRecognizeWith(r)?n.reset():n.recognize(t),!r&&14&n.state&&(r=e.curRecognizer=n),s++}},get:function(t){if(t instanceof pt)return t;for(var e=this.recognizers,n=0;n<e.length;n++)if(e[n].options.event==t)return e[n];return null},add:function(t){if(p(t,\"add\",this))return this;var e=this.get(t.options.event);return e&&this.remove(e),this.recognizers.push(t),t.manager=this,this.touchAction.update(),t},remove:function(t){if(p(t,\"remove\",this))return this;if(t=this.get(t)){var e=this.recognizers,n=b(e,t);-1!==n&&(e.splice(n,1),this.touchAction.update())}return this},on:function(t,e){if(void 0!==t&&void 0!==e){var n=this.handlers;return f(S(t),(function(t){n[t]=n[t]||[],n[t].push(e)})),this}},off:function(t,e){if(void 0!==t){var n=this.handlers;return f(S(t),(function(t){e?n[t]&&n[t].splice(b(n[t],e),1):delete n[t]})),this}},emit:function(t,e){this.options.domEvents&&function(t,e){var i=n.createEvent(\"Event\");i.initEvent(t,!0,!0),i.gesture=e,e.target.dispatchEvent(i)}(t,e);var i=this.handlers[t]&&this.handlers[t].slice();if(i&&i.length){e.type=t,e.preventDefault=function(){e.srcEvent.preventDefault()};for(var r=0;r<i.length;)i[r](e),r++}},destroy:function(){this.element&&St(this,!1),this.handlers={},this.session={},this.input.destroy(),this.element=null}},s(_t,{INPUT_START:1,INPUT_MOVE:2,INPUT_END:4,INPUT_CANCEL:8,STATE_POSSIBLE:1,STATE_BEGAN:2,STATE_CHANGED:4,STATE_ENDED:8,STATE_RECOGNIZED:8,STATE_CANCELLED:16,STATE_FAILED:32,DIRECTION_NONE:1,DIRECTION_LEFT:2,DIRECTION_RIGHT:4,DIRECTION_UP:8,DIRECTION_DOWN:16,DIRECTION_HORIZONTAL:6,DIRECTION_VERTICAL:24,DIRECTION_ALL:30,Manager:Ct,Input:Y,TouchAction:lt,TouchInput:nt,MouseInput:j,PointerEventInput:J,TouchMouseInput:rt,SingleTouchInput:Q,Recognizer:pt,AttrRecognizer:mt,Tap:At,Pan:gt,Swipe:It,Pinch:yt,Rotate:Et,Press:Tt,on:I,off:A,each:f,merge:m,extend:d,assign:s,inherit:g,bindFn:y,prefixed:D}),(void 0!==t?t:\"undefined\"!=typeof self?self:{}).Hammer=_t,\"function\"==typeof define&&define.amd?define((function(){return _t})):void 0!==e&&e.exports?e.exports=_t:t.Hammer=_t}(window,document)},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1).__importStar(t(18)),o=t(67),s=t(9),a=t(71);class r extends o.View{get plot_view(){return this.parent}get plot_model(){return this.parent.model}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>{this.model.active?this.activate():this.deactivate()})}activate(){}deactivate(){}}i.ToolView=r,r.__name__=\"ToolView\";class _ extends a.Model{constructor(t){super(t)}static init_Tool(){this.prototype._known_aliases=new Map,this.internal({active:[n.Boolean,!1]})}get synthetic_renderers(){return[]}_get_dim_tooltip(t,e){switch(e){case\"width\":return t+\" (x-axis)\";case\"height\":return t+\" (y-axis)\";case\"both\":return t}}_get_dim_limits([t,e],[i,n],o,a){const r=o.bbox.h_range;let _;\"width\"==a||\"both\"==a?(_=[s.min([t,i]),s.max([t,i])],_=[s.max([_[0],r.start]),s.min([_[1],r.end])]):_=[r.start,r.end];const l=o.bbox.v_range;let c;return\"height\"==a||\"both\"==a?(c=[s.min([e,n]),s.max([e,n])],c=[s.max([c[0],l.start]),s.min([c[1],l.end])]):c=[l.start,l.end],[_,c]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}i.Tool=_,_.__name__=\"Tool\",_.init_Tool()},\n      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_toolbar=\"bk-toolbar\",t.bk_toolbar_hidden=\"bk-toolbar-hidden\",t.bk_toolbar_button=\"bk-toolbar-button\",t.bk_button_bar=\"bk-button-bar\",t.bk_toolbar_button_custom_action=\"bk-toolbar-button-custom-action\"},\n      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-toolbar-hidden {\\n  visibility: hidden;\\n  opacity: 0;\\n  transition: visibility 0.3s linear, opacity 0.3s linear;\\n}\\n.bk-root .bk-toolbar,\\n.bk-root .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-toolbar .bk-logo {\\n  flex-shrink: 0;\\n  -webkit-flex-shrink: 0;\\n}\\n.bk-root .bk-toolbar.bk-above,\\n.bk-root .bk-toolbar.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n  justify-content: flex-end;\\n  -webkit-justify-content: flex-end;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-logo,\\n.bk-root .bk-toolbar.bk-below .bk-logo {\\n  order: 1;\\n  -webkit-order: 1;\\n  margin-left: 5px;\\n  margin-right: 0px;\\n}\\n.bk-root .bk-toolbar.bk-left,\\n.bk-root .bk-toolbar.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  justify-content: flex-start;\\n  -webkit-justify-content: flex-start;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-logo,\\n.bk-root .bk-toolbar.bk-right .bk-logo {\\n  order: 0;\\n  -webkit-order: 0;\\n  margin-bottom: 5px;\\n  margin-top: 0px;\\n}\\n.bk-root .bk-toolbar-button {\\n  width: 30px;\\n  height: 30px;\\n  cursor: pointer;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-toolbar-button:hover {\\n  background-color: rgba(192, 192, 192, 0.15);\\n}\\n.bk-root .bk-toolbar-button:focus {\\n  outline: none;\\n}\\n.bk-root .bk-toolbar-button::-moz-focus-inner {\\n  border: 0;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button {\\n  border-bottom: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button.bk-active {\\n  border-bottom-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button {\\n  border-top: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button.bk-active {\\n  border-top-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button {\\n  border-left: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button.bk-active {\\n  border-left-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button {\\n  border-right: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button.bk-active {\\n  border-right-color: #26aae1;\\n}\\n.bk-root .bk-button-bar + .bk-button-bar:before {\\n  content: \" \";\\n  display: inline-block;\\n  background-color: lightgray;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar + .bk-button-bar:before {\\n  height: 10px;\\n  width: 1px;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar + .bk-button-bar:before {\\n  height: 1px;\\n  width: 10px;\\n}\\n'},\n      function _(A,g,C){Object.defineProperty(C,\"__esModule\",{value:!0});C.default='\\n.bk-root .bk-tool-icon-replace-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxokK3gniQAAAHpJREFUWMNjXLhsJcNAAiaGAQajDhhwB7DgEP+PxmeksvjgDwFcLmYkUh2hkBj8IcBIZXsYh1w2/I8v3sgAOM0bLYhGc8GgrwuICgldfQO88pcvXvg/aOuCUQeM5oLRuoCFCJcTbOMh5XOiW0JDNhdQS3y0IBp1ABwAAF8KGrhC1Eg6AAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-append-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkZWD04WwAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAAAoUlEQVRYw+1WQQ6AIAwrhO8Y/bIXEz9jIMSDr8ETCUEPQzA4pMeFLKNbu4l5WR0CDOMEALBGIzMuQIBEZQjPgP9JLjwTfBjY9sO9lZsFA9IafZng3BlIyVefgd8XQFZBAWe8jfNxwsDhir6rzoCiPiy1K+J8/FRQemv2XfAdFcQ9znU4Viqg9ta1qYJ+D1BnAIBrkgGVOrXNqUA9rbyZm/AEzFh4jEeY/soAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-intersect-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkrkOpp2wAAAPhJREFUWMPtV1EKwjAMTUavI3oawR/vtn5srJdREfzwMvHHQlcT2mpdMzFfWxiP5r2+JMN+mAiCOB72CABgR1cln4oOGocJnuMTSxWk8jMm7OggYkYXA9gPE3uyd8NXHONJ+eYMdE/NqCJmEZ5ZqlJJ4sUksKN7cYSaPoCZFWR1QI+Xm1fBACU63Cw22x0AAJxudwrffVwvZ+JmQdAHZkw0d4EpAMCw8k87pMdbnwtizQumJYv3nwV6XOA1qbUT/oQLUJgFRbsiNwFVucBIlyR3p0tdMp+XmFjfLKi1LatyAXtCRjPWBdL3Ke3VuACJKFfDr/xFN2fgAR/Go0qaLlmEAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-subtract-mode {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-clear-selection {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-box-select {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg0kduFrowAAAIdJREFUWMPtVtEKwCAI9KL//4e9DPZ3+wP3KgOjNZouFYI4C8q7s7DtB1lGIeMoRMRinCLXg/ML3EcFqpjjloOyZxRntxpwQ8HsgHYARKFAtSFrCg3TCdMFCE1BuuALEXJLjC4qENsFVXCESZw38/kWLOkC/K4PcOc/Hj03WkoDT3EaWW9egQul6CUbq90JTwAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-box-zoom {\\n  background-image: 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background-image: 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url(\"data:image/png;base64,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\");\\n}\\n'},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(68),o=n.__importStar(t(255));class l{constructor(t,e={}){this.items=t,this.options=e,this.el=s.div(),this._open=!1,this._item_click=t=>{var e;null===(e=this.items[t])||void 0===e||e.handler(),this.hide()},this._on_mousedown=t=>{var e,i;const{target:n}=t;n instanceof Node&&this.el.contains(n)||(null===(i=(e=this.options).prevent_hide)||void 0===i?void 0:i.call(e,t))||this.hide()},this._on_keydown=t=>{t.keyCode==s.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},s.undisplay(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){s.remove(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=e.getBoundingClientRect();this.el.style.left=null!=t.left?t.left-i.left+\"px\":\"\",this.el.style.top=null!=t.top?t.top-i.top+\"px\":\"\",this.el.style.right=null!=t.right?i.right-t.right+\"px\":\"\",this.el.style.bottom=null!=t.bottom?i.bottom-t.bottom+\"px\":\"\"}}render(){var t;s.empty(this.el,!0);const e=null!==(t=this.options.orientation)&&void 0!==t?t:\"vertical\";s.classes(this.el).add(\"bk-context-menu\",\"bk-\"+e),s.append(this.el,...this.items.map((t,e)=>{var i;let n;if(null!=t){const e=null!=t.icon?s.div({class:[\"bk-menu-icon\",t.icon]}):null;n=s.div({class:(null===(i=t.active)||void 0===i?void 0:i.call(t))?\"bk-active\":null,title:t.tooltip},e,t.label)}else n=s.div({class:o.bk_divider});return n.addEventListener(\"click\",()=>this._item_click(e)),n}))}show(t){0!=this.items.length&&(this._open||(this.render(),this._position(null!=t?t:{left:0,top:0}),s.display(this.el),this._listen(),this._open=!0))}hide(){this._open&&(this._open=!1,this._unlisten(),s.undisplay(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=l,l.__name__=\"ContextMenu\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(275),i=e(146),s=e(68);class c extends o.ButtonToolButtonView{render(){super.render(),s.classes(this.el).toggle(i.bk_active,this.model.active)}_clicked(){const{active:e}=this.model;this.model.active=!e}}n.OnOffButtonView=c,c.__name__=\"OnOffButtonView\"},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(72),l=t(68),n=t(99),a=i.__importStar(t(18)),r=t(66),_=t(9),c=t(8),h=t(71),u=t(284),v=t(285),d=t(286),b=t(274),p=t(278),g=t(288),f=t(146),m=i.__importDefault(t(279)),w=i.__importDefault(t(289));class y extends h.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define({_visible:[a.Any,null],autohide:[a.Boolean,!1]})}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=y,y.__name__=\"ToolbarViewModel\",y.init_ToolbarViewModel();class T extends r.DOMView{initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new y({autohide:this.model.autohide})}async lazy_initialize(){await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,async()=>{await this._build_tool_button_views(),this.render()}),this.connect(this.model.properties.autohide.change,()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()}),this.connect(this._toolbar_view_model.properties._visible.change,()=>this._on_visible_change())}styles(){return[...super.styles(),m.default,w.default]}remove(){n.remove_views(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await n.build_views(this._tool_button_views,t,{parent:this},t=>t.button_view)}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const t=this._toolbar_view_model.visible,o=p.bk_toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(l.empty(this.el),this.el.classList.add(p.bk_toolbar),this.el.classList.add(f.bk_side(this.model.toolbar_location)),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?g.bk_grey:null,o=l.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[g.bk_logo,g.bk_logo_small,t]});this.el.appendChild(o)}for(const[,t]of this._tool_button_views)t.render();const t=[],o=t=>this._tool_button_views.get(t).el,{gestures:e}=this.model;for(const i in e)t.push(e[i].tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter(t=>t.toggleable).map(o));for(const o of t)if(0!==o.length){const t=l.div({class:p.bk_button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}}function k(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=T,T.__name__=\"ToolbarBaseView\";class M extends h.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=T,this.define({tools:[a.Array,[]],logo:[a.Logo,\"normal\"],autohide:[a.Boolean,!1]}),this.internal({gestures:[a.Any,k],actions:[a.Array,[]],inspectors:[a.Array,[]],help:[a.Array,[]],toolbar_location:[a.Location,\"right\"]})}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map(t=>t.id));return _.some(t,t=>!e.has(t.id))},o=this.tools.filter(t=>t instanceof b.InspectTool);t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter(t=>t instanceof d.HelpTool);t(this.help,e)&&(this.help=e);const i=this.tools.filter(t=>t instanceof v.ActionTool);t(this.actions,i)&&(this.actions=i);const l=(t,o)=>{t in this.gestures||s.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},n={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof u.GestureTool&&t.event_type)if(c.isString(t.event_type))n[t.event_type].tools.push(t),l(t.event_type,t);else{n.multi.tools.push(t);for(const o of t.event_type)l(o,t)}for(const o of Object.keys(n)){const e=this.gestures[o];t(e.tools,n[o].tools)&&(e.tools=n[o].tools),e.active&&_.every(e.tools,t=>t.id!=e.active.id)&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=c.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(s.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,s.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=M,M.__name__=\"ToolbarBase\",M.init_ToolbarBase()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(275),n=e(282);class u extends s.ButtonToolView{}t.GestureToolView=u,u.__name__=\"GestureToolView\";class _ extends s.ButtonTool{constructor(e){super(e),this.button_view=n.OnOffButtonView}}t.GestureTool=_,_.__name__=\"GestureTool\"},\n      function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=o(275),i=o(14);class s extends e.ButtonToolButtonView{_clicked(){this.model.do.emit()}}n.ActionToolButtonView=s,s.__name__=\"ActionToolButtonView\";class c extends e.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,()=>this.doit())}}n.ActionToolView=c,c.__name__=\"ActionToolView\";class l extends e.ButtonTool{constructor(o){super(o),this.button_view=s,this.do=new i.Signal0(this,\"do\")}}n.ActionTool=l,l.__name__=\"ActionTool\"},\n      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(1),l=o(285),s=i.__importStar(o(18)),n=o(287);class _ extends l.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=_,_.__name__=\"HelpToolView\";class r extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.bk_tool_icon_help}static init_HelpTool(){this.prototype.default_view=_,this.define({help_tooltip:[s.String,\"Click the question mark to learn more about Bokeh plot tools.\"],redirect:[s.String,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}),this.register_alias(\"help\",()=>new r)}get tooltip(){return this.help_tooltip}}t.HelpTool=r,r.__name__=\"HelpTool\",r.init_HelpTool()},\n      function _(o,_,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tool_icon_box_select=\"bk-tool-icon-box-select\",l.bk_tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",l.bk_tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",l.bk_tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",l.bk_tool_icon_help=\"bk-tool-icon-help\",l.bk_tool_icon_hover=\"bk-tool-icon-hover\",l.bk_tool_icon_crosshair=\"bk-tool-icon-crosshair\",l.bk_tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",l.bk_tool_icon_pan=\"bk-tool-icon-pan\",l.bk_tool_icon_xpan=\"bk-tool-icon-xpan\",l.bk_tool_icon_ypan=\"bk-tool-icon-ypan\",l.bk_tool_icon_range=\"bk-tool-icon-range\",l.bk_tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",l.bk_tool_icon_redo=\"bk-tool-icon-redo\",l.bk_tool_icon_reset=\"bk-tool-icon-reset\",l.bk_tool_icon_save=\"bk-tool-icon-save\",l.bk_tool_icon_tap_select=\"bk-tool-icon-tap-select\",l.bk_tool_icon_undo=\"bk-tool-icon-undo\",l.bk_tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",l.bk_tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",l.bk_tool_icon_box_edit=\"bk-tool-icon-box-edit\",l.bk_tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",l.bk_tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",l.bk_tool_icon_point_draw=\"bk-tool-icon-point-draw\",l.bk_tool_icon_poly_edit=\"bk-tool-icon-poly-edit\",l.bk_tool_icon_line_edit=\"bk-tool-icon-line-edit\"},\n      function _(o,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_logo=\"bk-logo\",b.bk_logo_notebook=\"bk-logo-notebook\",b.bk_logo_small=\"bk-logo-small\",b.bk_grey=\"bk-grey\"},\n      function _(l,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-logo {\\n  margin: 5px;\\n  position: relative;\\n  display: block;\\n  background-repeat: no-repeat;\\n}\\n.bk-root .bk-logo.bk-grey {\\n  filter: url(\\\"data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg'><filter id='grayscale'><feColorMatrix type='matrix' values='0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0'/></filter></svg>#grayscale\\\");\\n  /* Firefox 10+, Firefox on Android */\\n  filter: gray;\\n  /* IE6-9 */\\n  -webkit-filter: grayscale(100%);\\n  /* Chrome 19+, Safari 6+, Safari 6+ iOS */\\n}\\n.bk-root .bk-logo-small {\\n  width: 20px;\\n  height: 20px;\\n  background-image: 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e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left),s=this.right_panel.measure({width:0,height:t.height}),n=Math.max(s.width,this.min_border.right),a=this.top_panel.measure({width:t.width,height:0}),o=Math.max(a.height,this.min_border.top),l=this.bottom_panel.measure({width:t.width,height:0}),r=Math.max(l.height,this.min_border.bottom),h=new x.Sizeable(t).shrink_by({left:i,right:n,top:o,bottom:r}),_=this.center_panel.measure(h);return{width:i+_.width+n,height:o+_.height+r,inner:{left:i,right:n,top:o,bottom:r},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),s=this.right_panel.measure({width:0,height:t.height}),n=this.top_panel.measure({width:t.width,height:0}),a=this.bottom_panel.measure({width:t.width,height:0}),{left:o,top:l,right:r,bottom:h}=e;this.top_panel.set_geometry(new O.BBox({left:o,right:r,bottom:l,height:n.height})),this.bottom_panel.set_geometry(new O.BBox({left:o,right:r,top:h,height:a.height})),this.left_panel.set_geometry(new O.BBox({top:l,bottom:h,right:o,width:i.width})),this.right_panel.set_geometry(new O.BBox({top:l,bottom:h,left:r,width:s.width}))}}i.PlotLayout=j,j.__name__=\"PlotLayout\";class P extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new O.BBox,this._inner_bbox=new O.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(t=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||t||this.request_paint()}request_render(){this.request_paint()}request_paint(t){if(null!=t?this._invalidated_painters.add(t):this._invalidate_all=!0,!this.is_paused){const t=this.throttled_paint();this._ready=this._ready.then(()=>t)}}request_layout(){this._needs_layout=!0,this.request_paint()}reset(){\"standard\"==this.model.reset_policy&&(this.clear_state(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new u.Reset)}remove(){this.ui_event_bus.destroy(),p.remove_views(this.renderer_views),p.remove_views(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.state_changed=new c.Signal0(this,\"state_changed\"),this.lod_started=!1,this.visuals=new m.Visuals(this.model),this._initial_state_info={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.state={history:[],index:-1};const{hidpi:t,output_backend:e}=this.model;this.canvas=new a.Canvas({hidpi:t,output_backend:e}),this.frame=new n.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges),this.throttled_paint=b.throttle(()=>this.repaint(),1e3/60);const{title_location:i,title:s}=this.model;null!=i&&null!=s&&(this._title=s instanceof h.Title?s:new h.Title({text:s}));const{toolbar_location:o,toolbar:l}=this.model;null!=o&&null!=l&&(this._toolbar=new d.ToolbarPanel({toolbar:l}),l.toolbar_location=o),this.renderer_views=new Map,this.tool_views=new Map}async lazy_initialize(){this.canvas_view=await p.build_view(this.canvas,{parent:this}),this.ui_event_bus=new g.UIEvents(this,this.model.toolbar,this.canvas_view.events_el),await this.build_renderer_views(),await this.build_tool_views(),this.update_dataranges(),this.unpause(!0),f.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){this.layout=new j,this.layout.set_sizing(this.box_sizing());const{frame_width:t,frame_height:e}=this.model;this.layout.center_panel=this.frame,this.layout.center_panel.set_sizing(Object.assign(Object.assign({},null!=t?{width_policy:\"fixed\",width:t}:{width_policy:\"fit\"}),null!=e?{height_policy:\"fixed\",height:e}:{height_policy:\"fit\"}));const i=v.copy(this.model.above),s=v.copy(this.model.below),n=v.copy(this.model.left),a=v.copy(this.model.right),o=t=>{switch(t){case\"above\":return i;case\"below\":return s;case\"left\":return n;case\"right\":return a}},{title_location:l,title:r}=this.model;null!=l&&null!=r&&o(l).push(this._title);const{toolbar_location:_,toolbar:u}=this.model;if(null!=_&&null!=u){const t=o(_);let e=!0;if(this.model.toolbar_sticky)for(let i=0;i<t.length;i++){const s=t[i];if(s instanceof h.Title){t[i]=\"above\"==_||\"below\"==_?[s,this._toolbar]:[this._toolbar,s],e=!1;break}}e&&t.push(this._toolbar)}const c=(t,e)=>{const i=this.renderer_views.get(e);return i.layout=new M.SidePanel(t,i)},p=(t,e)=>{const i=\"above\"==t||\"below\"==t,s=[];for(const n of e)if(w.isArray(n)){const e=n.map(e=>{const s=c(t,e);if(e instanceof d.ToolbarPanel){const t=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[t]:\"min\"}))}return s});let a;i?(a=new k.Row(e),a.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(a=new k.Column(e),a.set_sizing({width_policy:\"min\",height_policy:\"max\"})),a.absolute=!0,s.push(a)}else s.push(c(t,n));return s},g=null!=this.model.min_border?this.model.min_border:0;this.layout.min_border={left:null!=this.model.min_border_left?this.model.min_border_left:g,top:null!=this.model.min_border_top?this.model.min_border_top:g,right:null!=this.model.min_border_right?this.model.min_border_right:g,bottom:null!=this.model.min_border_bottom?this.model.min_border_bottom:g};const m=new z.VStack,f=new z.VStack,b=new z.HStack,y=new z.HStack;m.children=v.reversed(p(\"above\",i)),f.children=p(\"below\",s),b.children=v.reversed(p(\"left\",n)),y.children=p(\"right\",a),m.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),f.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),b.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),y.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.top_panel=m,this.layout.bottom_panel=f,this.layout.left_panel=b,this.layout.right_panel=y}get axis_views(){const t=[];for(const[,e]of this.renderer_views)e instanceof _.AxisView&&t.push(e);return t}set_cursor(t=\"default\"){this.canvas_view.el.style.cursor=t}set_toolbar_visibility(t){for(const e of this.visibility_callbacks)e(t)}update_dataranges(){const t=new Map,e=new Map;let i=!1;for(const t of y.values(this.frame.x_ranges).concat(y.values(this.frame.y_ranges)))t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(i=!0);for(const[s,n]of this.renderer_views)if(n instanceof l.GlyphRendererView){const a=n.glyph.bounds();if(null!=a&&t.set(s,a),i){const t=n.glyph.log_bounds();null!=t&&e.set(s,t)}}let s=!1,n=!1;const{width:a,height:r}=this.frame.bbox;let h;!1!==this.model.match_aspect&&0!=a&&0!=r&&(h=1/this.model.aspect_scale*(a/r));for(const i of y.values(this.frame.x_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,0,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}for(const i of y.values(this.frame.y_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,1,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}if(s&&n){f.logger.warn(\"Follow enabled so bounds are unset.\");for(const t of y.values(this.frame.x_ranges))t.bounds=null;for(const t of y.values(this.frame.y_ranges))t.bounds=null}this.range_update_timestamp=Date.now()}map_to_screen(t,e,i=\"default\",s=\"default\"){return this.frame.map_to_screen(t,e,i,s)}push_state(t,e){const{history:i,index:s}=this.state,n=null!=i[s]?i[s].info:{},a=Object.assign(Object.assign(Object.assign({},this._initial_state_info),n),e);this.state.history=this.state.history.slice(0,this.state.index+1),this.state.history.push({type:t,info:a}),this.state.index=this.state.history.length-1,this.state_changed.emit()}clear_state(){this.state={history:[],index:-1},this.state_changed.emit()}can_undo(){return this.state.index>=0}can_redo(){return this.state.index<this.state.history.length-1}undo(){this.can_undo()&&(this.state.index-=1,this._do_state_change(this.state.index),this.state_changed.emit())}redo(){this.can_redo()&&(this.state.index+=1,this._do_state_change(this.state.index),this.state_changed.emit())}_do_state_change(t){const e=null!=this.state.history[t]?this.state.history[t].info:this._initial_state_info;null!=e.range&&this.update_range(e.range),null!=e.selection&&this.update_selection(e.selection)}get_selection(){const t=new Map;for(const e of this.model.renderers)if(e instanceof l.GlyphRenderer){const{selected:i}=e.data_source;t.set(e,i)}return t}update_selection(t){for(const e of this.model.renderers){if(!(e instanceof l.GlyphRenderer))continue;const i=e.data_source;if(null!=t){const s=t.get(e);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_update_ranges_together(t){let e=1;for(const[i,s]of t)e=Math.min(e,this._get_weight_to_constrain_interval(i,s));if(e<1)for(const[i,s]of t)s.start=e*s.start+(1-e)*i.start,s.end=e*s.end+(1-e)*i.end}_update_ranges_individually(t,e,i,s){let n=!1;for(const[s,a]of t){if(!i){const t=this._get_weight_to_constrain_interval(s,a);t<1&&(a.start=t*a.start+(1-t)*s.start,a.end=t*a.end+(1-t)*s.end)}if(null!=s.bounds&&\"auto\"!=s.bounds){const[t,o]=s.bounds,l=Math.abs(a.end-a.start);s.is_reversed?(null!=t&&t>=a.end&&(n=!0,a.end=t,(e||i)&&(a.start=t+l)),null!=o&&o<=a.start&&(n=!0,a.start=o,(e||i)&&(a.end=o-l))):(null!=t&&t>=a.start&&(n=!0,a.start=t,(e||i)&&(a.end=t+l)),null!=o&&o<=a.end&&(n=!0,a.end=o,(e||i)&&(a.start=o-l)))}}if(!(i&&n&&s))for(const[e,i]of t)e.have_updated_interactively=!0,e.start==i.start&&e.end==i.end||e.setv(i)}_get_weight_to_constrain_interval(t,e){const{min_interval:i}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[e,i]=t.bounds;if(null!=e&&null!=i){const t=Math.abs(i-e);s=null!=s?Math.min(s,t):t}}let n=1;if(null!=i||null!=s){const a=Math.abs(t.end-t.start),o=Math.abs(e.end-e.start);i>0&&o<i&&(n=(a-i)/(a-o)),s>0&&o>s&&(n=(s-a)/(o-a)),n=Math.max(0,Math.min(1,n))}return n}update_range(t,e=!1,i=!1,s=!0){this.pause();const{x_ranges:n,y_ranges:a}=this.frame;if(null==t){for(const t in n){n[t].reset()}for(const t in a){a[t].reset()}this.update_dataranges()}else{const o=[];for(const e in n){const i=n[e];o.push([i,t.xrs[e]])}for(const e in a){const i=a[e];o.push([i,t.yrs[e]])}i&&this._update_ranges_together(o),this._update_ranges_individually(o,e,i,s)}this.unpause()}reset_range(){this.update_range(null)}_invalidate_layout(){(()=>{for(const t of this.model.side_panels){if(this.renderer_views.get(t).layout.has_size_changed())return!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map(t=>this.renderer_views.get(t))}async build_renderer_views(){this.computed_renderers=[];const{above:t,below:e,left:i,right:s,center:n,renderers:a}=this.model;this.computed_renderers.push(...t,...e,...i,...s,...n,...a),null!=this._title&&this.computed_renderers.push(this._title),null!=this._toolbar&&this.computed_renderers.push(this._toolbar);for(const t of this.model.toolbar.tools)null!=t.overlay&&this.computed_renderers.push(t.overlay),this.computed_renderers.push(...t.synthetic_renderers);await p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const t=this.model.toolbar.tools;(await p.build_views(this.tool_views,t,{parent:this})).map(t=>this.ui_event_bus.register_tool(t))}connect_signals(){super.connect_signals();const{x_ranges:t,y_ranges:e}=this.frame;for(const e in t){const i=t[e];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}for(const t in e){const i=e[t];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}const{plot_width:i,plot_height:s}=this.model.properties;this.on_change([i,s],()=>this.invalidate_layout());const{above:n,below:a,left:o,right:l,center:r,renderers:h}=this.model.properties;this.on_change([n,a,o,l,r,h],async()=>await this.build_renderer_views()),this.connect(this.model.toolbar.properties.tools.change,async()=>{await this.build_renderer_views(),await this.build_tool_views()}),this.connect(this.model.change,()=>this.request_paint()),this.connect(this.model.reset,()=>this.reset())}set_initial_range(){let t=!0;const{x_ranges:e,y_ranges:i}=this.frame,s={},n={};for(const i in e){const{start:n,end:a}=e[i];if(null==n||null==a||isNaN(n+a)){t=!1;break}s[i]={start:n,end:a}}if(t)for(const e in i){const{start:s,end:a}=i[e];if(null==s||null==a||isNaN(s+a)){t=!1;break}n[e]={start:s,end:a}}t?(this._initial_state_info.range={xrs:s,yrs:n},f.logger.debug(\"initial ranges set\")):f.logger.warn(\"could not set initial ranges\")}has_finished(){if(!super.has_finished())return!1;for(const[,t]of this.renderer_views)if(!t.has_finished())return!1;return!0}after_layout(){if(super.after_layout(),this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame._width.value),inner_height:Math.round(this.frame._height.value),outer_width:Math.round(this.layout._width.value),outer_height:Math.round(this.layout._height.value)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:t,height:e}=this.layout.bbox;this.canvas_view.resize(t,e),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}this._inner_bbox.equals(this.frame.inner_bbox)||(this._inner_bbox=this.layout.inner_bbox,this._needs_paint=!0),this._needs_paint&&(this._needs_paint=!1,this.paint())}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){if(this.is_paused)return;f.logger.trace(\"PlotView.paint() for \"+this.model.id);const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e<this.model.lod_interval?setTimeout(()=>{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(this.model),this.request_paint()},this.model.lod_timeout):t.interactive_stop(this.model)}for(const[,t]of this.renderer_views)if(null==this.range_update_timestamp||t instanceof l.GlyphRendererView&&t.set_data_timestamp>this.range_update_timestamp){this.update_dataranges();break}let e=!1,i=!1;if(this._invalidate_all)e=!0,i=!0;else for(const t of this._invalidated_painters){const{level:s}=t.model;if(\"overlay\"!=s?e=!0:i=!0,e&&i)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const s=[this.frame._left.value,this.frame._top.value,this.frame._width.value,this.frame._height.value],{primary:n,overlays:a}=this.canvas_view;e&&(n.prepare(),this.canvas_view.prepare_webgl(s),this.canvas_view.clear_webgl(),this._map_hook(n.ctx,s),this._paint_empty(n.ctx,s),this._paint_outline(n.ctx,s),this._paint_levels(n.ctx,\"image\",s,!0),this._paint_levels(n.ctx,\"underlay\",s,!0),this._paint_levels(n.ctx,\"glyph\",s,!0),this._paint_levels(n.ctx,\"guide\",s,!1),this._paint_levels(n.ctx,\"annotation\",s,!1),n.finish()),i&&(a.prepare(),this._paint_levels(a.ctx,\"overlay\",s,!1),a.finish()),null==this._initial_state_info.range&&this.set_initial_range()}_paint_levels(t,e,i,s){for(const n of this.computed_renderers){if(n.level!=e)continue;const a=this.renderer_views.get(n);t.save(),(s||a.needs_clip)&&(t.beginPath(),t.rect(...i),t.clip()),a.render(),t.restore(),a.has_webgl&&(this.canvas_view.blit_webgl(t),this.canvas_view.clear_webgl())}}_map_hook(t,e){}_paint_empty(t,e){const[i,s,n,a]=[0,0,this.layout._width.value,this.layout._height.value],[o,l,r,h]=e;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(t),t.fillRect(i,s,n,a),t.clearRect(o,l,r,h)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(o,l,r,h))}_paint_outline(t,e){if(this.visuals.outline_line.doit){t.save(),this.visuals.outline_line.set_value(t);let[i,s,n,a]=e;i+n==this.layout._width.value&&(n-=1),s+a==this.layout._height.value&&(a-=1),t.strokeRect(i,s,n,a),t.restore()}}save(t){this.canvas_view.save(t)}serializable_state(){const t=super.serializable_state(),{children:e}=t,i=s(t,[\"children\"]),n=this.get_renderer_views().map(t=>t.serializable_state()).filter(t=>\"bbox\"in t);return Object.assign(Object.assign({},i),{children:[...e,...n]})}}i.PlotView=P,P.__name__=\"PlotView\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});var n=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var r=e.length-1;r>=0;r--)(_=e[r])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function _(e){return function(t){t.prototype.event_name=e}}class a{constructor(){this.origin=null}to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}_to_json(){return{model:this.origin}}}s.BokehEvent=a,a.__name__=\"BokehEvent\";let o=class extends a{};s.ButtonClick=o,o.__name__=\"ButtonClick\",s.ButtonClick=o=n([_(\"button_click\")],o);let r=class extends a{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=r,r.__name__=\"MenuItemClick\",s.MenuItemClick=r=n([_(\"menu_item_click\")],r);class c extends a{}s.UIEvent=c,c.__name__=\"UIEvent\";let i=class extends c{};s.LODStart=i,i.__name__=\"LODStart\",s.LODStart=i=n([_(\"lodstart\")],i);let l=class extends c{};s.LODEnd=l,l.__name__=\"LODEnd\",s.LODEnd=l=n([_(\"lodend\")],l);let u=class extends c{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=u,u.__name__=\"SelectionGeometry\",s.SelectionGeometry=u=n([_(\"selectiongeometry\")],u);let h=class extends c{};s.Reset=h,h.__name__=\"Reset\",s.Reset=h=n([_(\"reset\")],h);class d extends c{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=d,d.__name__=\"PointEvent\";let m=class extends d{constructor(e,t,s,n,_,a){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=m,m.__name__=\"Pan\",s.Pan=m=n([_(\"pan\")],m);let p=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=p,p.__name__=\"Pinch\",s.Pinch=p=n([_(\"pinch\")],p);let x=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=x,x.__name__=\"Rotate\",s.Rotate=x=n([_(\"rotate\")],x);let j=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=j,j.__name__=\"MouseWheel\",s.MouseWheel=j=n([_(\"wheel\")],j);let y=class extends d{};s.MouseMove=y,y.__name__=\"MouseMove\",s.MouseMove=y=n([_(\"mousemove\")],y);let P=class extends d{};s.MouseEnter=P,P.__name__=\"MouseEnter\",s.MouseEnter=P=n([_(\"mouseenter\")],P);let O=class extends d{};s.MouseLeave=O,O.__name__=\"MouseLeave\",s.MouseLeave=O=n([_(\"mouseleave\")],O);let b=class extends d{};s.Tap=b,b.__name__=\"Tap\",s.Tap=b=n([_(\"tap\")],b);let g=class extends d{};s.DoubleTap=g,g.__name__=\"DoubleTap\",s.DoubleTap=g=n([_(\"doubletap\")],g);let v=class extends d{};s.Press=v,v.__name__=\"Press\",s.Press=v=n([_(\"press\")],v);let E=class extends d{};s.PressUp=E,E.__name__=\"PressUp\",s.PressUp=E=n([_(\"pressup\")],E);let M=class extends d{};s.PanStart=M,M.__name__=\"PanStart\",s.PanStart=M=n([_(\"panstart\")],M);let f=class extends d{};s.PanEnd=f,f.__name__=\"PanEnd\",s.PanEnd=f=n([_(\"panend\")],f);let R=class extends d{};s.PinchStart=R,R.__name__=\"PinchStart\",s.PinchStart=R=n([_(\"pinchstart\")],R);let S=class extends d{};s.PinchEnd=S,S.__name__=\"PinchEnd\",s.PinchEnd=S=n([_(\"pinchend\")],S);let k=class extends d{};s.RotateStart=k,k.__name__=\"RotateStart\",s.RotateStart=k=n([_(\"rotatestart\")],k);let D=class extends d{};s.RotateEnd=D,D.__name__=\"RotateEnd\",s.RotateEnd=D=n([_(\"rotateend\")],D)},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importDefault(t(276)),r=t(14),a=t(72),h=t(68),_=t(293),o=t(9),c=t(8),l=t(28),p=n.__importStar(t(291)),u=t(281);class d{constructor(t,e,s){this.plot_view=t,this.toolbar=e,this.hit_area=s,this.pan_start=new r.Signal(this,\"pan:start\"),this.pan=new r.Signal(this,\"pan\"),this.pan_end=new r.Signal(this,\"pan:end\"),this.pinch_start=new r.Signal(this,\"pinch:start\"),this.pinch=new r.Signal(this,\"pinch\"),this.pinch_end=new r.Signal(this,\"pinch:end\"),this.rotate_start=new r.Signal(this,\"rotate:start\"),this.rotate=new r.Signal(this,\"rotate\"),this.rotate_end=new r.Signal(this,\"rotate:end\"),this.tap=new r.Signal(this,\"tap\"),this.doubletap=new r.Signal(this,\"doubletap\"),this.press=new r.Signal(this,\"press\"),this.pressup=new r.Signal(this,\"pressup\"),this.move_enter=new r.Signal(this,\"move:enter\"),this.move=new r.Signal(this,\"move\"),this.move_exit=new r.Signal(this,\"move:exit\"),this.scroll=new r.Signal(this,\"scroll\"),this.keydown=new r.Signal(this,\"keydown\"),this.keyup=new r.Signal(this,\"keyup\"),this.hammer=new i.default(this.hit_area,{touchAction:\"auto\",inputClass:i.default.TouchMouseInput}),this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",t=>this._mouse_move(t)),this.hit_area.addEventListener(\"mouseenter\",t=>this._mouse_enter(t)),this.hit_area.addEventListener(\"mouseleave\",t=>this._mouse_exit(t)),this.hit_area.addEventListener(\"contextmenu\",t=>this._context_menu(t)),this.hit_area.addEventListener(\"wheel\",t=>this._mouse_wheel(t)),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new u.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",t=>this._doubletap(t)),this.hammer.on(\"tap\",t=>this._tap(t)),this.hammer.on(\"press\",t=>this._press(t)),this.hammer.on(\"pressup\",t=>this._pressup(t)),this.hammer.get(\"pan\").set({direction:i.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",t=>this._pan_start(t)),this.hammer.on(\"pan\",t=>this._pan(t)),this.hammer.on(\"panend\",t=>this._pan_end(t)),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",t=>this._pinch_start(t)),this.hammer.on(\"pinch\",t=>this._pinch(t)),this.hammer.on(\"pinchend\",t=>this._pinch_end(t)),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",t=>this._rotate_start(t)),this.hammer.on(\"rotate\",t=>this._rotate(t)),this.hammer.on(\"rotateend\",t=>this._rotate_end(t))}register_tool(t){const e=t.model.event_type;null!=e&&(c.isString(e)?this._register_tool(t,e):e.forEach((e,s)=>this._register_tool(t,e,s<1)))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},h=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(\"unsupported event_type: \"+e)}s&&(null!=n._doubletap&&n.connect(this.doubletap,h(n._doubletap.bind(n))),null!=n._keydown&&n.connect(this.keydown,h(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,h(n._keyup.bind(n))),l.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(a.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e){const s=this.plot_view.get_renderer_views();for(const n of o.reversed(s)){const{level:s}=n.model;if((\"annotation\"==s||\"overlay\"==s)&&null!=n.interactive_hit&&n.interactive_hit(t,e))return n}return null}_hit_test_frame(t,e){return this.plot_view.frame.bbox.contains(t,e)}_hit_test_canvas(t,e){return this.plot_view.layout.bbox.contains(t,e)}_trigger(t,e,s){const n=this.toolbar.gestures,i=t.name.split(\":\")[0],r=this._hit_test_renderers(e.sx,e.sy),a=this._hit_test_canvas(e.sx,e.sy);switch(i){case\"move\":{const s=n[i].active;null!=s&&this.trigger(t,e,s.id);const h=this.toolbar.inspectors.filter(t=>t.active);let _=\"default\";null!=r?(_=r.cursor(e.sx,e.sy)||_,o.is_empty(h)||(t=this.move_exit)):this._hit_test_frame(e.sx,e.sy)&&(o.is_empty(h)||(_=\"crosshair\")),this.plot_view.set_cursor(_),this.plot_view.set_toolbar_visibility(a),h.map(s=>this.trigger(t,e,s.id));break}case\"tap\":{const{target:a}=s;if(null!=a&&a!=this.hit_area)return;null!=r&&null!=r.on_hit&&r.on_hit(e.sx,e.sy);const h=n[i].active;null!=h&&this.trigger(t,e,h.id);break}case\"scroll\":{const i=n[l.is_mobile?\"pinch\":\"scroll\"].active;null!=i&&(s.preventDefault(),s.stopPropagation(),this.trigger(t,e,i.id));break}case\"pan\":{const r=n[i].active;null!=r&&(s.preventDefault(),this.trigger(t,e,r.id));break}default:{const s=n[i].active;null!=s&&this.trigger(t,e,s.id)}}this._trigger_bokeh_event(e)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t){const e=(()=>{const e=this.plot_view.frame.xscales.default,s=this.plot_view.frame.yscales.default,{sx:n,sy:i}=t,r=e.invert(n),a=s.invert(i);switch(t.type){case\"wheel\":return new p.MouseWheel(n,i,r,a,t.delta);case\"mousemove\":return new p.MouseMove(n,i,r,a);case\"mouseenter\":return new p.MouseEnter(n,i,r,a);case\"mouseleave\":return new p.MouseLeave(n,i,r,a);case\"tap\":return new p.Tap(n,i,r,a);case\"doubletap\":return new p.DoubleTap(n,i,r,a);case\"press\":return new p.Press(n,i,r,a);case\"pressup\":return new p.PressUp(n,i,r,a);case\"pan\":return new p.Pan(n,i,r,a,t.deltaX,t.deltaY);case\"panstart\":return new p.PanStart(n,i,r,a);case\"panend\":return new p.PanEnd(n,i,r,a);case\"pinch\":return new p.Pinch(n,i,r,a,t.scale);case\"pinchstart\":return new p.PinchStart(n,i,r,a);case\"pinchend\":return new p.PinchEnd(n,i,r,a);case\"rotate\":return new p.Rotate(n,i,r,a,t.rotation);case\"rotatestart\":return new p.RotateStart(n,i,r,a);case\"rotateend\":return new p.RotateEnd(n,i,r,a);default:return}})();null!=e&&this.plot_view.model.trigger_event(e)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=h.offset(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:_.getDeltaY(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){const e=this._tap_event(t);this._trigger_bokeh_event(e),this.trigger(this.doubletap,e)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEvents=d,d.__name__=\"UIEvents\"},\n      function _(e,t,n){\n      /*!\n           * jQuery Mousewheel 3.1.13\n           *\n           * Copyright jQuery Foundation and other contributors\n           * Released under the MIT license\n           * http://jquery.org/license\n           */\n      function r(e){const t=getComputedStyle(e).fontSize;return null!=t?parseInt(t,10):null}Object.defineProperty(n,\"__esModule\",{value:!0}),n.getDeltaY=function(e){let t=-e.deltaY;if(e.target instanceof HTMLElement)switch(e.deltaMode){case e.DOM_DELTA_LINE:t*=r((n=e.target).offsetParent||document.body)||r(n)||16;break;case e.DOM_DELTA_PAGE:t*=function(e){return e.clientHeight}(e.target)}var n;return t}},\n      function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=(\"undefined\"!=typeof window?window.requestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.webkitRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.mozRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.msRequestAnimationFrame:void 0)||function(n){return n(Date.now()),-1};o.throttle=function(n,e){let o=null,i=0,u=!1;return function(){return new Promise((d,w)=>{const r=function(){i=Date.now(),o=null,u=!1;try{n(),d()}catch(n){w(n)}},a=Date.now(),f=e-(a-i);f<=0&&!u?(null!=o&&clearTimeout(o),u=!0,t(r)):o||u?d():o=setTimeout(()=>t(r),f)})}}},\n      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const l=i(189),a=i(190),r=i(8),o=Math.PI/2,h=\"left\",s=\"center\",n={above:{parallel:0,normal:-o,horizontal:0,vertical:-o},below:{parallel:0,normal:o,horizontal:0,vertical:o},left:{parallel:-o,normal:0,horizontal:0,vertical:-o},right:{parallel:o,normal:0,horizontal:0,vertical:o}},d={above:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"alphabetic\",vertical:\"middle\"},below:{justified:\"bottom\",parallel:\"hanging\",normal:\"middle\",horizontal:\"hanging\",vertical:\"middle\"},left:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"},right:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"}},_={above:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},below:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},left:{justified:s,parallel:s,normal:\"right\",horizontal:\"right\",vertical:s},right:{justified:s,parallel:s,normal:h,horizontal:h,vertical:s}},c={above:\"right\",below:h,left:\"right\",right:h},m={above:h,below:\"right\",left:\"right\",right:h};class g extends a.ContentLayoutable{constructor(i,t){switch(super(),this.side=i,this.obj=t,this.side){case\"above\":this._dim=0,this._normals=[0,-1];break;case\"below\":this._dim=0,this._normals=[0,1];break;case\"left\":this._dim=1,this._normals=[-1,0];break;case\"right\":this._dim=1,this._normals=[1,0]}this.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){return new l.Sizeable(this.get_oriented_size())}get_oriented_size(){const{width:i,height:t}=this.obj.get_size();return!this.obj.rotate||this.is_horizontal?{width:i,height:t}:{width:t,height:i}}has_size_changed(){const{width:i,height:t}=this.get_oriented_size();return this.is_horizontal?this.bbox.height!=t:this.bbox.width!=i}get dimension(){return this._dim}get normals(){return this._normals}get is_horizontal(){return 0==this._dim}get is_vertical(){return 1==this._dim}apply_label_text_heuristics(i,t){const e=this.side;let l,a;r.isString(t)?(l=d[e][t],a=_[e][t]):t<0?(l=\"middle\",a=c[e]):(l=\"middle\",a=m[e]),i.textBaseline=l,i.textAlign=a}get_label_angle_heuristic(i){return n[this.side][i]}}e.SidePanel=g,g.__name__=\"SidePanel\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(14),o=t(68),a=t(32),n=t(290),p=new i.Signal0({},\"gmaps_ready\");class l extends n.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){!function(t){window._bokeh_gmaps_callback=()=>p.emit();const e=document.createElement(\"script\");e.type=\"text/javascript\",e.src=`https://maps.googleapis.com/maps/api/js?v=3.36&key=${t}&callback=_bokeh_gmaps_callback`,document.body.appendChild(e)}(atob(this.model.api_key))}p.connect(()=>this.request_render())}this.unpause()}remove(){o.remove(this.map_el),super.remove()}update_range(t){if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(t.sdx||0,t.sdy||0),super.update_range(t);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t);const e=t.factor<0?-1:1,s=this.map.getZoom(),i=s+e;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<0&&this.map.setZoom(s)}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=o.div({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",()=>this._set_bokeh_ranges()),t.event.addListener(this.map,\"bounds_changed\",()=>this._set_bokeh_ranges()),t.event.addListenerOnce(this.map,\"tilesloaded\",()=>this._render_finished()),this.connect(this.model.properties.map_options.change,()=>this._update_options()),this.connect(this.model.map_options.properties.styles.change,()=>this._update_styles()),this.connect(this.model.map_options.properties.lat.change,()=>this._update_center(\"lat\")),this.connect(this.model.map_options.properties.lng.change,()=>this._update_center(\"lng\")),this.connect(this.model.map_options.properties.zoom.change,()=>this._update_zoom()),this.connect(this.model.map_options.properties.map_type.change,()=>this._update_map_type()),this.connect(this.model.map_options.properties.scale_control.change,()=>this._update_scale_control()),this.connect(this.model.map_options.properties.tilt.change,()=>this._update_tilt())}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,i]=this._get_latlon_bounds(),[o,n]=a.wgs84_mercator.forward([t,s]),[p,l]=a.wgs84_mercator.forward([e,i]);return[o,p,n,l]}_set_bokeh_ranges(){const[t,e,s,i]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:i})}_update_center(t){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,i,o]=e;this.map_el.style.top=s+\"px\",this.map_el.style.left=t+\"px\",this.map_el.style.width=i+\"px\",this.map_el.style.height=o+\"px\"}}_paint_empty(t,e){const s=this.layout._width.value,i=this.layout._height.value,[o,a,n,p]=e;t.clearRect(0,0,s,i),t.beginPath(),t.moveTo(0,0),t.lineTo(0,i),t.lineTo(s,i),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(o,a),t.lineTo(o+n,a),t.lineTo(o+n,a+p),t.lineTo(o,a+p),t.lineTo(o,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=this.model.border_fill_color,t.fill())}}s.GMapPlotView=l,l.__name__=\"GMapPlotView\"},\n      function _(a,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});var g=a(187);n.DataRange=g.DataRange;var R=a(186);n.DataRange1d=R.DataRange1d;var r=a(90);n.FactorRange=r.FactorRange;var t=a(91);n.Range=t.Range;var d=a(131);n.Range1d=d.Range1d},\n      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var n=e(81);d.GlyphRenderer=n.GlyphRenderer;var R=e(100);d.GraphRenderer=R.GraphRenderer;var a=e(151);d.GuideRenderer=a.GuideRenderer;var G=e(65);d.Renderer=G.Renderer},\n      function _(a,e,c){Object.defineProperty(c,\"__esModule\",{value:!0});var l=a(185);c.CategoricalScale=l.CategoricalScale;var o=a(121);c.ContinuousScale=o.ContinuousScale;var r=a(120);c.LinearScale=r.LinearScale;var S=a(130);c.LogScale=S.LogScale;var n=a(122);c.Scale=n.Scale},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(1).__exportStar(e(102),o);var n=e(79);o.Selection=n.Selection},\n      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var o=a(302);r.ServerSentDataSource=o.ServerSentDataSource;var S=a(304);r.AjaxDataSource=S.AjaxDataSource;var u=a(76);r.ColumnDataSource=u.ColumnDataSource;var t=a(77);r.ColumnarDataSource=t.ColumnarDataSource;var c=a(98);r.CDSView=c.CDSView;var D=a(78);r.DataSource=D.DataSource;var v=a(305);r.GeoJSONDataSource=v.GeoJSONDataSource;var n=a(303);r.WebDataSource=n.WebDataSource},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(303);class s extends a.WebDataSource{constructor(e){super(e),this.initialized=!1}destroy(){super.destroy()}setup(){if(!this.initialized){this.initialized=!0,new EventSource(this.data_url).onmessage=e=>{this.load_data(JSON.parse(e.data),this.mode,this.max_size)}}}}i.ServerSentDataSource=s,s.__name__=\"ServerSentDataSource\"},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(1),s=e(76),i=r.__importStar(e(18));class n extends s.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:r}=this;let s;switch(s=null!=r?r.execute(this,{response:e}):e,t){case\"replace\":this.data=s;break;case\"append\":{const e=this.data;for(const t of this.columns()){const r=Array.from(e[t]),i=Array.from(s[t]);s[t]=r.concat(i).slice(-a)}this.data=s;break}}}static init_WebDataSource(){this.define({mode:[i.UpdateMode,\"replace\"],max_size:[i.Number],adapter:[i.Any,null],data_url:[i.String]})}}a.WebDataSource=n,n.__name__=\"WebDataSource\",n.init_WebDataSource()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(303),r=t(72),o=s.__importStar(t(18));class n extends a.WebDataSource{constructor(t){super(t),this.initialized=!1}static init_AjaxDataSource(){this.define({polling_interval:[o.Number],content_type:[o.String,\"application/json\"],http_headers:[o.Any,{}],method:[o.HTTPMethod,\"POST\"],if_modified:[o.Boolean,!1]})}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=0,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",()=>this.do_load(s,t,e)),s.addEventListener(\"error\",()=>this.do_error(s)),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const i in e){const s=e[i];t.setRequestHeader(i,s)}return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){r.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=n,n.__name__=\"AjaxDataSource\",n.init_AjaxDataSource()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1),n=e(77),s=e(72),a=r.__importStar(e(18)),i=e(9);function l(e){return null!=e?e:NaN}class c extends n.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define({geojson:[a.Any]}),this.internal({data:[a.Any,{}]})}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,()=>this._update_data())}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return i.range(0,e).map(e=>[])}_get_new_nan_array(e){return i.range(0,e).map(e=>NaN)}_add_properties(e,t,o,r){const n=e.properties||{};for(const e in n)t.hasOwnProperty(e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=l(n[e])}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=l(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"Polygon\":{e.coordinates.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPoint\":s.logger.warn(\"MultiPoint not supported in Bokeh\");break;case\"MultiLineString\":{const n=e.coordinates.reduce(r);for(let e=0;e<n.length;e++){const[r,s,a]=n[e];t.xs[o][e]=r,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPolygon\":{const n=[];for(const t of e.coordinates)t.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const a=n.reduce(r);for(let e=0;e<a.length;e++){const[r,n,s]=a[e];t.xs[o][e]=r,t.ys[o][e]=n,t.zs[o][e]=l(s)}break}default:throw new Error(\"Invalid GeoJSON geometry type: \"+e.type)}}geojson_to_column_data(){const e=JSON.parse(this.geojson);let t;switch(e.type){case\"GeometryCollection\":if(null==e.geometries)throw new Error(\"No geometries found in GeometryCollection\");if(0===e.geometries.length)throw new Error(\"geojson.geometries must have one or more items\");t=e.geometries;break;case\"FeatureCollection\":if(null==e.features)throw new Error(\"No features found in FeaturesCollection\");if(0==e.features.length)throw new Error(\"geojson.features must have one or more items\");t=e.features;break;default:throw new Error(\"Bokeh only supports type GeometryCollection and FeatureCollection at top level\")}let o=0;for(const e of t){const t=\"Feature\"===e.type?e.geometry:e;\"GeometryCollection\"==t.type?o+=t.geometries.length:o+=1}const r={x:this._get_new_nan_array(o),y:this._get_new_nan_array(o),z:this._get_new_nan_array(o),xs:this._get_new_list_array(o),ys:this._get_new_list_array(o),zs:this._get_new_list_array(o)};let n=0;for(const e of t){const t=\"Feature\"==e.type?e.geometry:e;if(\"GeometryCollection\"==t.type)for(const s of t.geometries)this._add_geometry(s,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1;else this._add_geometry(t,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1}return r}}o.GeoJSONDataSource=c,c.__name__=\"GeoJSONDataSource\",c.init_GeoJSONDataSource()},\n      function _(e,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});var c=e(110);i.AdaptiveTicker=c.AdaptiveTicker;var a=e(109);i.BasicTicker=a.BasicTicker;var k=e(153);i.CategoricalTicker=k.CategoricalTicker;var T=e(164);i.CompositeTicker=T.CompositeTicker;var t=e(111);i.ContinuousTicker=t.ContinuousTicker;var o=e(163);i.DatetimeTicker=o.DatetimeTicker;var v=e(165);i.DaysTicker=v.DaysTicker;var n=e(307);i.FixedTicker=n.FixedTicker;var s=e(172);i.LogTicker=s.LogTicker;var l=e(175);i.MercatorTicker=l.MercatorTicker;var u=e(168);i.MonthsTicker=u.MonthsTicker;var d=e(166);i.SingleIntervalTicker=d.SingleIntervalTicker;var g=e(112);i.Ticker=g.Ticker;var C=e(169);i.YearsTicker=C.YearsTicker},\n      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),n=i(111),s=r.__importStar(i(18));class _ extends n.ContinuousTicker{constructor(i){super(i),this.min_interval=0,this.max_interval=0}static init_FixedTicker(){this.define({ticks:[s.Array,[]],minor_ticks:[s.Array,[]]})}get_ticks_no_defaults(i,t,e,r){return{major:this.ticks,minor:this.minor_ticks}}get_interval(i,t,e){return 0}}e.FixedTicker=_,_.__name__=\"FixedTicker\",_.init_FixedTicker()},\n      function _(e,r,o){Object.defineProperty(o,\"__esModule\",{value:!0});var T=e(309);o.BBoxTileSource=T.BBoxTileSource;var c=e(310);o.MercatorTileSource=c.MercatorTileSource;var i=e(313);o.QUADKEYTileSource=i.QUADKEYTileSource;var l=e(314);o.TileRenderer=l.TileRenderer;var S=e(311);o.TileSource=S.TileSource;var u=e(318);o.TMSTileSource=u.TMSTileSource;var a=e(315);o.WMTSTileSource=a.WMTSTileSource},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1),i=e(310),l=o.__importStar(e(18));class _ extends i.MercatorTileSource{constructor(e){super(e)}static init_BBoxTileSource(){this.define({use_latlon:[l.Boolean,!1]})}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let i,l,_,n;return this.use_latlon?[l,n,i,_]=this.get_tile_geographic_bounds(e,t,r):[l,n,i,_]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",l.toString()).replace(\"{YMIN}\",n.toString()).replace(\"{XMAX}\",i.toString()).replace(\"{YMAX}\",_.toString())}}r.BBoxTileSource=_,_.__name__=\"BBoxTileSource\",_.init_BBoxTileSource()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const _=t(1),s=t(311),r=_.__importStar(t(18)),o=t(9),n=t(312);class l extends s.TileSource{constructor(t){super(t)}static init_MercatorTileSource(){this.define({snap_to_zoom:[r.Boolean,!1],wrap_around:[r.Boolean,!0]}),this.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})}initialize(){super.initialize(),this._resolutions=o.range(this.min_zoom,this.max_zoom+1).map(t=>this.get_resolution(t))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)<Math.abs(t-r)?e:t}));return this._resolutions.indexOf(o)}snap_to_zoom_level(t,e,i,_){const[s,r,o,n]=t,l=this._resolutions[_];let u=i*l,a=e*l;if(!this.snap_to_zoom){const t=(o-s)/u,e=(n-r)/a;t>e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);return i=0===i?i:i-1,[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<<i)-e]}meters_to_tile(t,e,i){const[_,s]=this.meters_to_pixels(t,e,i);return this.pixels_to_tile(_,s)}get_tile_meter_bounds(t,e,i){const[_,s]=this.pixels_to_meters(t*this.tile_size,e*this.tile_size,i),[r,o]=this.pixels_to_meters((t+1)*this.tile_size,(e+1)*this.tile_size,i);return[_,s,r,o]}get_tile_geographic_bounds(t,e,i){const _=this.get_tile_meter_bounds(t,e,i),[s,r,o,l]=n.meters_extent_to_geographic(_);return[s,r,o,l]}get_tiles_by_extent(t,e,i=1){const[_,s,r,o]=t;let[n,l]=this.meters_to_tile(_,s,e),[u,a]=this.meters_to_tile(r,o,e);n-=i,l-=i,u+=i,a+=i;const h=[];for(let t=a;t>=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<<s-1;switch(t.charAt(_-s)){case\"0\":continue;case\"1\":e|=r;break;case\"2\":i|=r;break;case\"3\":e|=r,i|=r;break;default:throw new TypeError(\"Invalid Quadkey: \"+t)}}return[e,i,_]}tile_xyz_to_quadkey(t,e,i){let _=\"\";for(let s=i;s>0;s--){const i=1<<s-1;let r=0;0!=(t&i)&&(r+=1),0!=(e&i)&&(r+=2),_+=r.toString()}return _}children_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=[];for(let t=0;t<=3;t++){const[e,i,r]=this.quadkey_to_tile_xyz(_+t.toString()),o=this.get_tile_meter_bounds(e,i,r);s.push([e,i,r,o])}return s}get_closest_parent_by_tile_xyz(t,e,i){const _=this.calculate_world_x_by_tile_xyz(t,e,i);[t,e,i]=this.normalize_xyz(t,e,i);let s=this.tile_xyz_to_quadkey(t,e,i);for(;s.length>0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),s=e(17),l=i.__importStar(e(18));class a extends n.Model{constructor(e){super(e)}static init_TileSource(){this.define({url:[l.String,\"\"],tile_size:[l.Number,256],max_zoom:[l.Number,30],min_zoom:[l.Number,0],extra_url_vars:[l.Any,{}],attribution:[l.String,\"\"],x_origin_offset:[l.Number],y_origin_offset:[l.Number],initial_resolution:[l.Number]})}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._clear_cache())}string_lookup_replace(e,t){let r=e;for(const[e,i]of s.entries(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map(e=>parseInt(e));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,s]=t,l=(n-r)/2+r,a=(s-i)/2+i;e.sort((function(e,t){return Math.sqrt((l-e[0])**2+(a-e[1])**2)-Math.sqrt((l-t[0])**2+(a-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=a,a.__name__=\"TileSource\",a.init_TileSource()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(32);function o(e,t){return n.wgs84_mercator.forward([e,t])}function c(e,t){return n.wgs84_mercator.inverse([e,t])}r.geographic_to_meters=o,r.meters_to_geographic=c,r.geographic_extent_to_meters=function(e){const[t,r,n,c]=e,[_,i]=o(t,r),[s,u]=o(n,c);return[_,i,s,u]},r.meters_extent_to_geographic=function(e){const[t,r,n,o]=e,[_,i]=c(t,r),[s,u]=c(n,o);return[_,i,s,u]}},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const _=e(310);class s extends _.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const _=this.string_lookup_replace(this.url,this.extra_url_vars),[s,o,u]=this.tms_to_wmts(e,t,r),c=this.tile_xyz_to_quadkey(s,o,u);return _.replace(\"{Q}\",c)}}r.QUADKEYTileSource=s,s.__name__=\"QUADKEYTileSource\"},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),_=e(315),a=e(82),n=e(131),r=e(68),h=s.__importStar(e(18)),l=e(224),o=e(9),d=e(8),m=e(80),c=e(76),u=e(316),p=s.__importDefault(e(317));class g extends a.DataRendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.tile_source.change,()=>this.request_render())}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&r.removeElement(this.attribution_el);const{attribution:e}=this.model.tile_source;if(d.isString(e)&&e.length>0){const{layout:t,frame:i}=this.plot_view,s=t._width.value-i._right.value,_=t._height.value-i._bottom.value,a=i._width.value;this.attribution_el=r.div({class:u.bk_tile_attribution,style:{position:\"absolute\",right:s+\"px\",bottom:_+\"px\",\"max-width\":a-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=e,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const e=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value),t=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value,e);this.x_range.start=t[0],this.y_range.start=t[1],this.x_range.end=t[2],this.y_range.end=t[3],this.x_range instanceof n.Range1d&&(this.x_range.reset_start=t[0],this.x_range.reset_end=t[2]),this.y_range instanceof n.Range1d&&(this.y_range.reset_start=t[1],this.y_range.reset_end=t[3]),this._update_attribution()}_create_tile(e,t,i,s,_=!1){const[a,n,r]=this.model.tile_source.normalize_xyz(e,t,i),h={img:void 0,tile_coords:[e,t,i],normalized_coords:[a,n,r],quadkey:this.model.tile_source.tile_xyz_to_quadkey(e,t,i),cache_key:this.model.tile_source.tile_xyz_to_key(e,t,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},o=this.model.tile_source.get_image_url(a,n,r);new l.ImageLoader(o,{loaded:e=>{Object.assign(h,{img:e,loaded:!0}),_?(h.finished=!0,this.notify_finished()):this.request_render()},failed(){h.finished=!0}}),this.model.tile_source.tiles.set(h.cache_key,h),this._tiles.push(h)}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame._height.value||this._last_width!==this.map_frame._width.value){const e=this.get_extent(),t=this.model.tile_source.get_level_by_extent(e,this.map_frame._height.value,this.map_frame._width.value),i=this.model.tile_source.snap_to_zoom_level(e,this.map_frame._height.value,this.map_frame._width.value,t);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame._height.value,this._last_width=this.map_frame._width.value}}has_finished(){if(!super.has_finished())return!1;if(0===this._tiles.length)return!1;for(const e of this._tiles)if(!e.finished)return!1;return!0}render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(e){const t=this.model.tile_source.tiles.get(e);if(null!=t&&t.loaded){const[[e],[i]]=this.plot_view.map_to_screen([t.bounds[0]],[t.bounds[3]]),[[s],[_]]=this.plot_view.map_to_screen([t.bounds[2]],[t.bounds[1]]),a=s-e,n=_-i,r=e,h=i,l=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(t.img,r,h,a,n),this.map_canvas.setImageSmoothingEnabled(l),t.finished=!0}}_set_rect(){const e=this.plot_model.properties.outline_line_width.value(),t=this.map_frame._left.value+e/2,i=this.map_frame._top.value+e/2,s=this.map_frame._width.value-e,_=this.map_frame._height.value-e;this.map_canvas.rect(t,i,s,_),this.map_canvas.clip()}_render_tiles(e){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const t of e)this._draw_tile(t);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:e}=this.model,t=this.get_extent(),i=this.map_frame._height.value,s=this.map_frame._width.value,_=this.model.tile_source.get_level_by_extent(t,i,s),a=this.model.tile_source.get_tiles_by_extent(t,_);for(let t=0,i=Math.min(10,a.length);t<i;t++){const[i,s,_]=a[t],n=this.model.tile_source.children_by_tile_xyz(i,s,_);for(const t of n){const[i,s,_,a]=t;e.tiles.has(e.tile_xyz_to_key(i,s,_))||this._create_tile(i,s,_,a,!0)}}}_fetch_tiles(e){for(const t of e){const[e,i,s,_]=t;this._create_tile(e,i,s,_)}}_update(){const{tile_source:e}=this.model,{min_zoom:t}=e,{max_zoom:i}=e;let s=this.get_extent();const _=this.extent[2]-this.extent[0]<s[2]-s[0],a=this.map_frame._height.value,n=this.map_frame._width.value;let r=e.get_level_by_extent(s,a,n),h=!1;r<t?(s=this.extent,r=t,h=!0):r>i&&(s=this.extent,r=i,h=!0),h&&(this.x_range.setv({x_range:{start:s[0],end:s[2]}}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const l=e.get_tiles_by_extent(s,r),d=[],m=[],c=[],u=[];for(const t of l){const[i,s,a]=t,n=e.tile_xyz_to_key(i,s,a),r=e.tiles.get(n);if(null!=r&&r.loaded)m.push(n);else if(this.model.render_parents){const[t,n,r]=e.get_closest_parent_by_tile_xyz(i,s,a),h=e.tile_xyz_to_key(t,n,r),l=e.tiles.get(h);if(null!=l&&l.loaded&&!o.includes(c,h)&&c.push(h),_){const t=e.children_by_tile_xyz(i,s,a);for(const[i,s,_]of t){const t=e.tile_xyz_to_key(i,s,_);e.tiles.has(t)&&u.push(t)}}}null==r&&d.push(t)}this._render_tiles(c),this._render_tiles(u),this._render_tiles(m),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout(()=>this._fetch_tiles(d),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class f extends a.DataRenderer{constructor(e){super(e),this._selection_manager=new m.SelectionManager({source:new c.ColumnDataSource})}static init_TileRenderer(){this.prototype.default_view=g,this.define({alpha:[h.Number,1],smoothing:[h.Boolean,!0],tile_source:[h.Instance,()=>new _.WMTSTileSource],render_parents:[h.Boolean,!0]})}get_selection_manager(){return this._selection_manager}}i.TileRenderer=f,f.__name__=\"TileRenderer\",f.init_TileRenderer()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(310);class s extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,_]=this.tms_to_wmts(e,t,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",_.toString())}}r.WMTSTileSource=s,s.__name__=\"WMTSTileSource\"},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.bk_tile_attribution=\"bk-tile-attribution\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default=\"\\n.bk-root .bk-tile-attribution a {\\n  color: black;\\n}\\n\"},\n      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(310);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=c,c.__name__=\"TMSTileSource\"},\n      function _(e,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});var t=e(320);a.CanvasTexture=t.CanvasTexture;var u=e(322);a.ImageURLTexture=u.ImageURLTexture;var v=e(321);a.Texture=v.Texture},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),c=t(321),s=r.__importStar(t(18)),i=t(24);class a extends c.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define({code:[s.String]})}get func(){const t=i.use_strict(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){return r=>{const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),r.createPattern(c,this.repetition)}}}n.CanvasTexture=a,a.__name__=\"CanvasTexture\",a.init_CanvasTexture()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(71),o=r.__importStar(e(18));class _ extends n.Model{constructor(e){super(e)}static init_Texture(){this.define({repetition:[o.TextureRepetition,\"repeat\"]})}onload(e){e()}}i.Texture=_,_.__name__=\"Texture\",_.init_Texture()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),a=e(321),n=r.__importStar(e(18)),s=e(224);class o extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define({url:[n.String]})}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){return e=>this._loader.finished?e.createPattern(this._loader.image,this.repetition):null}onload(e){this._loader.promise.then(()=>e())}}i.ImageURLTexture=o,o.__name__=\"ImageURLTexture\",o.init_ImageURLTexture()},\n      function _(o,l,T){Object.defineProperty(T,\"__esModule\",{value:!0});var a=o(285);T.ActionTool=a.ActionTool;var r=o(324);T.CustomAction=r.CustomAction;var e=o(286);T.HelpTool=e.HelpTool;var v=o(325);T.RedoTool=v.RedoTool;var t=o(326);T.ResetTool=t.ResetTool;var n=o(327);T.SaveTool=n.SaveTool;var s=o(328);T.UndoTool=s.UndoTool;var i=o(329);T.ZoomInTool=i.ZoomInTool;var P=o(331);T.ZoomOutTool=P.ZoomOutTool;var c=o(275);T.ButtonTool=c.ButtonTool;var d=o(332);T.EditTool=d.EditTool;var u=o(333);T.BoxEditTool=u.BoxEditTool;var y=o(334);T.FreehandDrawTool=y.FreehandDrawTool;var m=o(335);T.PointDrawTool=m.PointDrawTool;var x=o(336);T.PolyDrawTool=x.PolyDrawTool;var B=o(337);T.PolyTool=B.PolyTool;var S=o(338);T.PolyEditTool=S.PolyEditTool;var b=o(339);T.BoxSelectTool=b.BoxSelectTool;var h=o(342);T.BoxZoomTool=h.BoxZoomTool;var E=o(284);T.GestureTool=E.GestureTool;var Z=o(343);T.LassoSelectTool=Z.LassoSelectTool;var p=o(344);T.LineEditTool=p.LineEditTool;var w=o(346);T.PanTool=w.PanTool;var C=o(347);T.PolySelectTool=C.PolySelectTool;var D=o(348);T.RangeTool=D.RangeTool;var H=o(340);T.SelectTool=H.SelectTool;var R=o(349);T.TapTool=R.TapTool;var A=o(350);T.WheelPanTool=A.WheelPanTool;var I=o(351);T.WheelZoomTool=I.WheelZoomTool;var L=o(352);T.CrosshairTool=L.CrosshairTool;var W=o(353);T.CustomJSHover=W.CustomJSHover;var O=o(354);T.HoverTool=O.HoverTool;var _=o(274);T.InspectTool=_.InspectTool;var f=o(277);T.Tool=f.Tool;var g=o(355);T.ToolProxy=g.ToolProxy;var F=o(273);T.Toolbar=F.Toolbar;var G=o(283);T.ToolbarBase=G.ToolbarBase;var J=o(357);T.ProxyToolbar=J.ProxyToolbar;var U=o(357);T.ToolbarBox=U.ToolbarBox},\n      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(285),e=n.__importStar(t(18)),c=t(278);class _ extends s.ActionToolButtonView{css_classes(){return super.css_classes().concat(c.bk_toolbar_button_custom_action)}}i.CustomActionButtonView=_,_.__name__=\"CustomActionButtonView\";class l extends s.ActionToolView{doit(){null!=this.model.callback&&this.model.callback.execute(this.model)}}i.CustomActionView=l,l.__name__=\"CustomActionView\";class u extends s.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=_}static init_CustomAction(){this.prototype.default_view=l,this.define({action_tooltip:[e.String,\"Perform a Custom Action\"],callback:[e.Any],icon:[e.String]})}get tooltip(){return this.action_tooltip}}i.CustomAction=u,u.__name__=\"CustomAction\",u.init_CustomAction()},\n      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(285),s=o(287);class n extends i.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_redo())}doit(){this.plot_view.redo()}}t.RedoToolView=n,n.__name__=\"RedoToolView\";class _ extends i.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=s.bk_tool_icon_redo}static init_RedoTool(){this.prototype.default_view=n,this.override({disabled:!0}),this.register_alias(\"redo\",()=>new _)}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(285),i=e(287);class _ extends s.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=_,_.__name__=\"ResetToolView\";class l extends s.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=i.bk_tool_icon_reset}static init_ResetTool(){this.prototype.default_view=_,this.register_alias(\"reset\",()=>new l)}}o.ResetTool=l,l.__name__=\"ResetTool\",l.init_ResetTool()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(285),s=e(287);class _ extends i.ActionToolView{doit(){this.plot_view.save(\"bokeh_plot\")}}t.SaveToolView=_,_.__name__=\"SaveToolView\";class a extends i.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=s.bk_tool_icon_save}static init_SaveTool(){this.prototype.default_view=_,this.register_alias(\"save\",()=>new a)}}t.SaveTool=a,a.__name__=\"SaveTool\",a.init_SaveTool()},\n      function _(o,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=o(285),i=o(287);class s extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_undo())}doit(){this.plot_view.undo()}}e.UndoToolView=s,s.__name__=\"UndoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=i.bk_tool_icon_undo}static init_UndoTool(){this.prototype.default_view=s,this.override({disabled:!0}),this.register_alias(\"undo\",()=>new _)}}e.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),n=o(285),s=o(330),_=e.__importStar(o(18)),m=o(287);class l extends n.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,n=s.scale_range(o,this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:n}),this.plot_view.update_range(n,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomInToolView=l,l.__name__=\"ZoomInToolView\";class h extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom In\",this.icon=m.bk_tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_in\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_in\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_in\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomInTool=h,h.__name__=\"ZoomInTool\",h.init_ZoomInTool()},\n      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=n(10);function r(n,t,e){const[o,r]=[n.start,n.end],c=null!=e?e:(r+o)/2;return[o-(o-c)*t,r-(r-c)*t]}function c(n,[t,e]){const o={};for(const r in n){const c=n[r],[s,l]=c.r_invert(t,e);o[r]={start:s,end:l}}return o}e.scale_highlow=r,e.get_info=c,e.scale_range=function(n,t,e=!0,s=!0,l){t=o.clamp(t,-.9,.9);const a=e?t:0,[u,i]=r(n.bbox.h_range,a,null!=l?l.x:void 0),_=c(n.xscales,[u,i]),f=s?t:0,[d,b]=r(n.bbox.v_range,f,null!=l?l.y:void 0);return{xrs:_,yrs:c(n.yscales,[d,b]),factor:t}}},\n      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),s=o(285),n=o(330),_=e.__importStar(o(18)),m=o(287);class l extends s.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,s=n.scale_range(o,-this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:s}),this.plot_view.update_range(s,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomOutToolView=l,l.__name__=\"ZoomOutToolView\";class h extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom Out\",this.icon=m.bk_tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_out\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_out\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_out\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomOutTool=h,h.__name__=\"ZoomOutTool\",h.init_ZoomOutTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),n=e(9),i=e(8),r=e(11),_=e(284);class c extends _.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void r.unreachable():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){const o=this.plot_view.frame;return o.bbox.contains(e,t)?[o.xscales[s.x_range_name].invert(e),o.yscales[s.y_range_name].invert(t)]:null}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;e<s.length;e++){const t=s[e];o.splice(t-e,1)}}this._emit_cds_changes(t)}_pop_glyphs(e,t){const s=e.columns();if(t&&s.length)for(const o of s){let s=e.get_array(o);const n=s.length-t+1;n<1||(i.isArray(s)||(s=Array.from(s),e.data[o]=s),s.splice(0,n))}}_emit_cds_changes(e,t=!0,s=!0,o=!0){s&&e.selection_manager.clear(),t&&e.change.emit(),o&&(e.data=e.data,e.properties.data.change.emit())}_drag_points(e,t,s=\"both\"){if(null==this._basepoint)return;const[o,n]=this._basepoint;for(const i of t){const t=this._map_drag(o,n,i),r=this._map_drag(e.sx,e.sy,i);if(null==r||null==t)continue;const[_,c]=r,[a,l]=t,[d,u]=[_-a,c-l],m=i.glyph,h=i.data_source,[p,f]=[m.x.field,m.y.field];for(const e of h.selected.indices)!p||\"width\"!=s&&\"both\"!=s||(h.data[p][e]+=d),!f||\"height\"!=s&&\"both\"!=s||(h.data[f][e]+=u);h.change.emit()}this._basepoint=[e.sx,e.sy]}_pad_empty_columns(e,t){for(const s of e.columns())n.includes(t,s)||e.get_array(s).push(this.model.empty_value)}_select_event(e,t,s){const o=this.plot_view.frame,{sx:n,sy:i}=e;if(!o.bbox.contains(n,i))return[];const r={type:\"point\",sx:n,sy:i},_=[];for(const e of s){const s=e.get_selection_manager(),o=e.data_source,n=[this.plot_view.renderer_views.get(e)];s.select(n,r,!0,t)&&_.push(e),o.properties.selected.change.emit()}return _}}s.EditToolView=c,c.__name__=\"EditToolView\";class a extends _.GestureTool{constructor(e){super(e)}static init_EditTool(){this.define({custom_icon:[o.String],custom_tooltip:[o.String],empty_value:[o.Any],renderers:[o.Array,[]]})}get tooltip(){return this.custom_tooltip||this.tool_name}get computed_icon(){return this.custom_icon||this.icon}}s.EditTool=a,a.__name__=\"EditTool\",a.init_EditTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(68),o=i.__importStar(e(18)),n=e(332),a=e(287);class d extends n.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===_.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==_.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.frame,d=n.glyph,l=n.data_source,r=a.xscales[n.x_range_name],h=a.yscales[n.y_range_name],[p,u]=r.r_invert(e,t),[c,m]=h.r_invert(s,i),[f,b]=[(p+u)/2,(c+m)/2],[x,y]=[u-p,m-c],[w,g]=[d.x.field,d.y.field],[v,E]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),w&&l.get_array(w).push(f),g&&l.get_array(g).push(b),v&&l.get_array(v).push(x),E&&l.get_array(E).push(y),this._pad_empty_columns(l,[w,g,v,E]);else{const e=l.data[w].length-1;w&&(l.data[w][e]=f),g&&(l.data[g][e]=b),v&&(l.data[v][e]=x),E&&(l.data[E][e]=y)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=d,d.__name__=\"BoxEditToolView\";class l extends n.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=a.bk_tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}static init_BoxEditTool(){this.prototype.default_view=d,this.define({dimensions:[o.Dimensions,\"both\"],num_objects:[o.Int,0]})}}s.BoxEditTool=l,l.__name__=\"BoxEditTool\",l.init_BoxEditTool()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),r=e(68),_=s.__importStar(e(18)),o=e(8),i=e(332),d=e(287);class n extends i.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,i]=r,d=s.data_source,n=s.glyph,[l,h]=[n.xs.field,n.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),l&&d.get_array(l).push([_]),h&&d.get_array(h).push([i]),this._pad_empty_columns(d,[l,h]);else if(\"add\"==t){if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];o.isArray(t)||(t=Array.from(t),d.data[l][e]=t),t.push(_)}if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];o.isArray(t)||(t=Array.from(t),d.data[h][e]=t),t.push(i)}}this._emit_cds_changes(d,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===r.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=n,n.__name__=\"FreehandDrawToolView\";class l extends i.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=d.bk_tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}static init_FreehandDrawTool(){this.prototype.default_view=n,this.define({num_objects:[_.Int,0]})}}a.FreehandDrawTool=l,l.__name__=\"FreehandDrawTool\",l.init_FreehandDrawTool()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(68),a=s.__importStar(e(18)),n=e(332),_=e(287);class r extends n.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],o=this._map_drag(e.sx,e.sy,t);if(null==o)return;const s=t.glyph,i=t.data_source,[a,n]=[s.x.field,s.y.field],[_,r]=o;this._pop_glyphs(i,this.model.num_objects),a&&i.get_array(a).push(_),n&&i.get_array(n).push(r),this._pad_empty_columns(i,[a,n]),i.change.emit(),i.data=i.data,i.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===i.Keys.Backspace?this._delete_selected(t):e.keyCode==i.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}o.PointDrawToolView=r,r.__name__=\"PointDrawToolView\";class d extends n.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=_.bk_tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}static init_PointDrawTool(){this.prototype.default_view=r,this.define({add:[a.Boolean,!0],drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}o.PointDrawTool=d,d.__name__=\"PointDrawTool\",d.init_PointDrawTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(68),a=i.__importStar(e(18)),o=e(8),n=e(337),_=e(287);class d extends n.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==r)return;const[a,n]=this._snap_to_vertex(e,...r),_=i.data_source,d=i.glyph,[l,h]=[d.xs.field,d.ys.field];if(\"new\"==t)this._pop_glyphs(_,this.model.num_objects),l&&_.get_array(l).push([a,a]),h&&_.get_array(h).push([n,n]),this._pad_empty_columns(_,[l,h]);else if(\"edit\"==t){if(l){const e=_.data[l][_.data[l].length-1];e[e.length-1]=a}if(h){const e=_.data[h][_.data[h].length-1];e[e.length-1]=n}}else if(\"add\"==t){if(l){const e=_.data[l].length-1;let t=_.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=a,o.isArray(t)||(t=Array.from(t),_.data[l][e]=t),t.push(s)}if(h){const e=_.data[h].length-1;let t=_.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=n,o.isArray(t)||(t=Array.from(t),_.data[h][e]=t),t.push(s)}}this._emit_cds_changes(_,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;s<this.model.renderers.length;s++){const i=this.model.renderers[s],r=i.data_source,a=i.glyph,[o,n]=[a.xs.field,a.ys.field];if(o)for(const t of r.get_array(o))Array.prototype.push.apply(e,t);if(n)for(const e of r.get_array(n))Array.prototype.push.apply(t,e);this._drawing&&s==this.model.renderers.length-1&&(e.splice(e.length-1,1),t.splice(t.length-1,1))}this._set_vertices(e,t)}_doubletap(e){this.model.active&&(this._drawing?(this._drawing=!1,this._draw(e,\"edit\",!0)):(this._drawing=!0,this._draw(e,\"new\",!0)))}_move(e){this._drawing&&this._draw(e,\"edit\")}_remove(){const e=this.model.renderers[0],t=e.data_source,s=e.glyph,[i,r]=[s.xs.field,s.ys.field];if(i){const e=t.data[i].length-1,s=t.get_array(i)[e];s.splice(s.length-1,1)}if(r){const e=t.data[r].length-1,s=t.get_array(r)[e];s.splice(s.length-1,1)}this._emit_cds_changes(t)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Backspace?this._delete_selected(t):e.keyCode==r.Keys.Esc&&(this._drawing&&(this._remove(),this._drawing=!1),t.data_source.selection_manager.clear())}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){if(null==this._basepoint||!this.model.drag)return;const[t,s]=this._basepoint;for(const i of this.model.renderers){const r=this._map_drag(t,s,i),a=this._map_drag(e.sx,e.sy,i);if(null==a||null==r)continue;const o=i.data_source,n=i.glyph,[_,d]=[n.xs.field,n.ys.field];if(!_&&!d)continue;const[l,h]=a,[c,g]=r,[p,f]=[l-c,h-g];for(const e of o.selected.indices){let t,s,i;_&&(s=o.data[_][e]),d?(i=o.data[d][e],t=i.length):t=s.length;for(let e=0;e<t;e++)s&&(s[e]+=p),i&&(i[e]+=f)}o.change.emit()}this._basepoint=[e.sx,e.sy]}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source);this._basepoint=null}}activate(){if(this.model.vertex_renderer&&this.model.active){if(this._show_vertices(),!this._initialized)for(const e of this.model.renderers){const t=e.data_source;t.connect(t.properties.data.change,()=>this._show_vertices())}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=d,d.__name__=\"PolyDrawToolView\";class l extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.bk_tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}static init_PolyDrawTool(){this.prototype.default_view=d,this.define({drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),i=e(8),s=e(332);class _ extends s.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,_]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),_&&(i.isArray(t)?o.data[_]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,\"replace\",[this.model.vertex_renderer]),i=this.model.vertex_renderer.data_source,s=this.model.vertex_renderer.glyph,[_,l]=[s.x.field,s.y.field];if(o.length){const e=i.selected.indices[0];_&&(t=i.data[_][e]),l&&(r=i.data[l][e]),i.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class l extends s.EditTool{constructor(e){super(e)}static init_PolyTool(){this.prototype.default_view=_,this.define({vertex_renderer:[o.Instance]})}}r.PolyTool=l,l.__name__=\"PolyTool\",l.init_PolyTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(68),i=e(8),_=e(337),d=e(287);class n extends _.PolyToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this._select_event(e,\"replace\",this.model.renderers);if(!t.length)return this._set_vertices([],[]),this._selected_renderer=null,void(this._drawing=!1);const s=t[0],r=s.glyph,_=s.data_source,d=_.selected.indices[0],[n,l]=[r.xs.field,r.ys.field];let a,c;n?(a=_.data[n][d],i.isArray(a)||(_.data[n][d]=a=Array.from(a))):a=r.xs.value,l?(c=_.data[l][d],i.isArray(c)||(_.data[l][d]=c=Array.from(c))):c=r.ys.value,this._selected_renderer=s,this._set_vertices(a,c)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===r.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==r.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=n,n.__name__=\"PolyEditToolView\";class l extends _.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=d.bk_tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=n}}s.PolyEditTool=l,l.__name__=\"PolyEditTool\",l.init_PolyEditTool()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(340),l=e(107),_=s.__importStar(e(18)),n=e(287);class c extends i.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.push_state(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const _={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(_,i,l)}}o.BoxSelectToolView=c,c.__name__=\"BoxSelectToolView\";const r=()=>new l.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=n.bk_tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=c,this.define({dimensions:[_.Dimensions,\"both\"],select_every_mousemove:[_.Boolean,!1],overlay:[_.Instance,r],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_select\",()=>new h),this.register_alias(\"xbox_select\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_select\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}o.BoxSelectTool=h,h.__name__=\"BoxSelectTool\",h.init_BoxSelectTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),r=e(81),c=e(100),i=e(341),l=n.__importStar(e(18)),a=e(68),d=e(291),_=e(14),h=e(11);class u extends o.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect(()=>this._clear())}get computed_renderers(){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;return i.compute_renderers(e,t,s)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof r.GlyphRenderer)n=s.data_source;else{if(!(s instanceof c.GraphRenderer))continue;n=s.node_renderer.data_source}const o=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...o,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void h.unreachable():this.model.mode}_keyup(e){e.keyCode==a.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();this.plot_view.request_render()}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,o]of n){const n=o[0].get_selection_manager(),r=[];for(const e of o){const t=this.plot_view.renderer_views.get(e);null!=t&&r.push(t)}n.select(r,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{frame:s}=this.plot_view,n=s.xscales.default,o=s.yscales.default;let r;switch(e.type){case\"point\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:s,sy0:c,sy1:i}=e,[l,a]=n.r_invert(t,s),[d,_]=o.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:l,y0:d,x1:a,y1:_});break}case\"poly\":{const{sx:t,sy:s}=e,c=n.v_invert(t),i=o.v_invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new d.SelectionGeometry(r,t))}}s.SelectToolView=u,u.__name__=\"SelectToolView\";class p extends o.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new _.Signal0(this,\"clear\")}static init_SelectTool(){this.define({renderers:[l.Any,\"auto\"],names:[l.Array,[]],mode:[l.Any,\"replace\"]})}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=p,p.__name__=\"SelectTool\",p.init_SelectTool()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(9);t.compute_renderers=function(e,n,t){if(null==e)return[];let u=\"auto\"==e?n:e;return t.length>0&&(u=u.filter(e=>r.includes(t,e.name))),u}},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),i=t(284),n=t(107),_=s.__importStar(t(18)),a=t(287);class l extends i.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m<n&&(m=n)),l=Math.abs(p-m),t[1]<=o[1]?(b=t[1],d=t[1]+l/s,d>_&&(d=_)):(d=t[1],b=t[1]-l/s,b<a&&(b=a)),r=Math.abs(d-b),t[0]<=o[0]?p=t[0]+s*r:m=t[0]-s*r,[[m,p],[b,d]]}_compute_limits(t){const o=this.plot_view.frame,e=this.model.dimensions;let s,i,n=this._base_point;if(\"center\"==this.model.origin){const[o,e]=n,[s,i]=t;n=[o-(s-o),e-(i-e)]}return this.model.match_aspect&&\"both\"==e?[s,i]=this._match_aspect(n,t,o):[s,i]=this.model._get_dim_limits(n,t,o,e),[s,i]}_pan_start(t){this._base_point=[t.sx,t.sy]}_pan(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this.model.overlay.update({left:e[0],right:e[1],top:s[0],bottom:s[1]})}_pan_end(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this._update(e,s),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null}_update([t,o],[e,s]){if(Math.abs(o-t)<=5||Math.abs(s-e)<=5)return;const{xscales:i,yscales:n}=this.plot_view.frame,_={};for(const e in i){const s=i[e],[n,a]=s.r_invert(t,o);_[e]={start:n,end:a}}const a={};for(const t in n){const o=n[t],[i,_]=o.r_invert(e,s);a[t]={start:i,end:_}}const l={xrs:_,yrs:a};this.plot_view.push_state(\"box_zoom\",{range:l}),this.plot_view.update_range(l)}}e.BoxZoomToolView=l,l.__name__=\"BoxZoomToolView\";const r=()=>new n.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=a.bk_tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=l,this.define({dimensions:[_.Dimensions,\"both\"],overlay:[_.Instance,r],match_aspect:[_.Boolean,!1],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_zoom\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xbox_zoom\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_zoom\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}e.BoxZoomTool=h,h.__name__=\"BoxZoomTool\",h.init_BoxZoomTool()},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(340),i=e(139),a=e(68),_=o.__importStar(e(18)),c=e(287);class n extends l.SelectToolView{initialize(){super.initialize(),this.data=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_overlay()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_overlay()}_pan_start(e){const{sx:s,sy:t}=e;this.data={sx:[s],sy:[t]}}_pan(e){const{sx:s,sy:t}=e,[o,l]=this.plot_view.frame.bbox.clip(s,t);this.data.sx.push(o),this.data.sy.push(l),this.model.overlay.update({xs:this.data.sx,ys:this.data.sy}),this.model.select_every_mousemove&&this._do_select(this.data.sx,this.data.sy,!1,this._select_mode(e))}_pan_end(e){this._clear_overlay(),this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"lasso_select\",{selection:this.plot_view.get_selection()})}_clear_overlay(){this.model.overlay.update({xs:[],ys:[]})}_do_select(e,s,t,o){const l={type:\"poly\",sx:e,sy:s};this._select(l,t,o)}}t.LassoSelectToolView=n,n.__name__=\"LassoSelectToolView\";const h=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class r extends l.SelectTool{constructor(e){super(e),this.tool_name=\"Lasso Select\",this.icon=c.bk_tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=n,this.define({select_every_mousemove:[_.Boolean,!0],overlay:[_.Instance,h]}),this.register_alias(\"lasso_select\",()=>new r)}}t.LassoSelectTool=r,r.__name__=\"LassoSelectTool\",r.init_LassoSelectTool()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(345),r=s.__importStar(e(18)),_=e(287);class d extends n.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const i of t){1==this._select_event(e,\"replace\",[i]).length&&(this._selected_renderer=i)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[i,s]=[t.x.field,t.y.field],n=e.get_array(i),r=e.get_array(s);this._set_intersection(n,r)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const i=this._select_mode(e);if(0==this._select_event(e,i,[t]).length)return}const i=this._select_mode(e);this._select_event(e,i,[t]),this._select_event(e,i,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[i,s]=[e.x.field,e.y.field];if(i&&s){const e=t.data[i],n=t.data[s];this._selected_renderer.data_source.data[i]=e,this._selected_renderer.data_source.data[s]=n}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}i.LineEditToolView=d,d.__name__=\"LineEditToolView\";class o extends n.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=_.bk_tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_LineEditTool(){this.prototype.default_view=d,this.define({dimensions:[r.Dimensions,\"both\"]})}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.LineEditTool=o,o.__name__=\"LineEditTool\",o.init_LineEditTool()},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1).__importStar(e(18)),o=e(8),s=e(332);class _ extends s.EditToolView{_set_intersection(e,i){const t=this.model.intersection_renderer.glyph,n=this.model.intersection_renderer.data_source,[s,_]=[t.x.field,t.y.field];s&&(o.isArray(e)?n.data[s]=e:t.x={value:e}),_&&(o.isArray(i)?n.data[_]=i:t.y={value:i}),this._emit_cds_changes(n,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}t.LineToolView=_,_.__name__=\"LineToolView\";class r extends s.EditTool{constructor(e){super(e)}static init_LineTool(){this.prototype.default_view=_,this.define({intersection_renderer:[n.Instance]})}}t.LineTool=r,r.__name__=\"LineTool\",r.init_LineTool()},\n      function _(t,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),e=t(284),o=i.__importStar(t(18)),a=t(287);class _ extends e.GestureToolView{_pan_start(t){this.last_dx=0,this.last_dy=0;const{sx:s,sy:n}=t,i=this.plot_view.frame.bbox;if(!i.contains(s,n)){const t=i.h_range,e=i.v_range;(s<t.start||s>t.end)&&(this.v_axis_only=!0),(n<e.start||n>e.end)&&(this.h_axis_only=!0)}null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan(t){this._update(t.deltaX,t.deltaY),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.push_state(\"pan\",{range:this.pan_info})}_update(t,s){const n=this.plot_view.frame,i=t-this.last_dx,e=s-this.last_dy,o=n.bbox.h_range,a=o.start-i,_=o.end-i,h=n.bbox.v_range,l=h.start-e,r=h.end-e,d=this.model.dimensions;let c,p,m,u,x,y;\"width\"!=d&&\"both\"!=d||this.v_axis_only?(c=o.start,p=o.end,m=0):(c=a,p=_,m=-i),\"height\"!=d&&\"both\"!=d||this.h_axis_only?(u=h.start,x=h.end,y=0):(u=l,x=r,y=-e),this.last_dx=t,this.last_dy=s;const{xscales:v,yscales:b}=n,g={};for(const t in v){const s=v[t],[n,i]=s.r_invert(c,p);g[t]={start:n,end:i}}const w={};for(const t in b){const s=b[t],[n,i]=s.r_invert(u,x);w[t]={start:n,end:i}}this.pan_info={xrs:g,yrs:w,sdx:m,sdy:y},this.plot_view.update_range(this.pan_info,!0)}}n.PanToolView=_,_.__name__=\"PanToolView\";class h extends e.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=_,this.define({dimensions:[o.Dimensions,\"both\"]}),this.register_alias(\"pan\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xpan\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ypan\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(\"Pan\",this.dimensions)}get icon(){switch(this.dimensions){case\"both\":return a.bk_tool_icon_pan;case\"width\":return a.bk_tool_icon_xpan;case\"height\":return a.bk_tool_icon_ypan}}}n.PanTool=h,h.__name__=\"PanTool\",h.init_PanTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const l=e(1),o=e(340),i=e(139),a=e(68),_=l.__importStar(e(18)),c=e(9),n=e(287);class h extends o.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:c.copy(this.data.sx),ys:c.copy(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=h,h.__name__=\"PolySelectToolView\";const y=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.bk_tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define({overlay:[_.Instance,y]}),this.register_alias(\"poly_select\",()=>new d)}}s.PolySelectTool=d,d.__name__=\"PolySelectTool\",d.init_PolySelectTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(107),l=e(72),a=i.__importStar(e(18)),r=e(284),o=e(287);function _(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function h(e,t,s,i){if(null==t)return!1;const n=s.compute(t);return Math.abs(e-n)<i}function d(e,t,s,i,n){let l=!0;if(null!=n.left&&null!=n.right){const t=s.invert(e);(t<n.left||t>n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=i.invert(t);(e<n.bottom||e>n.top)&&(l=!1)}return l}function u(e,t,s){let i=0;return e>=s.start&&e<=s.end&&(i+=1),t>=s.start&&t<=s.end&&(i+=1),i}function c(e,t,s,i){const n=t.compute(e),l=t.invert(n+s);return l>=i.start&&l<=i.end?l:e}function g(e,t,s){return e>t.start?(t.end=e,s):(t.end=t.start,t.start=e,_(s))}function y(e,t,s){return e<t.end?(t.start=e,s):(t.start=t.end,t.end=e,_(s))}function f(e,t,s,i){const[n,l]=t.r_compute(e.start,e.end),[a,r]=t.r_invert(n+s,l+s),o=u(e.start,e.end,i);u(a,r,i)>=o&&(e.start=a,e.end=r)}s.flip_side=_,s.is_near=h,s.is_inside=d,s.sides_inside=u,s.compute_value=c,s.update_range_end_side=g,s.update_range_start_side=y,s.update_range=f;class p extends r.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,()=>this.model.update_overlay_from_ranges()),null!=this.model.y_range&&this.connect(this.model.y_range.change,()=>this.model.update_overlay_from_ranges())}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,s=this.model.y_range,i=this.plot_view.frame,l=i.xscales.default,a=i.yscales.default,r=this.model.overlay,{left:o,right:_,top:u,bottom:c}=r,g=this.model.overlay.properties.line_width.value()+n.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(h(e.sx,o,l,g)?this.side=1:h(e.sx,_,l,g)?this.side=2:d(e.sx,e.sy,l,a,r)&&(this.side=3)),null!=s&&this.model.y_interaction&&(0==this.side&&h(e.sy,c,a,g)&&(this.side=4),0==this.side&&h(e.sy,u,a,g)?this.side=5:d(e.sx,e.sy,l,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,s=e.deltaX-this.last_dx,i=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.xscales.default,r=t.yscales.default;if(null!=n)if(3==this.side||7==this.side)f(n,a,s,t.x_range);else if(1==this.side){const e=c(n.start,a,s,t.x_range);this.side=y(e,n,this.side)}else if(2==this.side){const e=c(n.end,a,s,t.x_range);this.side=g(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)f(l,r,i,t.y_range);else if(4==this.side){const e=c(l.start,r,i,t.y_range);this.side=y(e,l,this.side)}else if(5==this.side){const e=c(l.end,r,i,t.y_range);this.side=g(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0}}s.RangeToolView=p,p.__name__=\"RangeToolView\";const m=()=>new n.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class v extends r.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=o.bk_tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=p,this.define({x_range:[a.Instance,null],x_interaction:[a.Boolean,!0],y_range:[a.Instance,null],y_interaction:[a.Boolean,!0],overlay:[a.Instance,m]})}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,l.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}s.RangeTool=v,v.__name__=\"RangeTool\",v.init_RangeTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),o=e(340),a=i.__importStar(e(18)),n=e(287);class _ extends o.SelectToolView{_tap(e){const{sx:t,sy:s}=e,i={type:\"point\",sx:t,sy:s};this._select(i,!0,this._select_mode(e))}_select(e,t,s){const i=this.model.callback;if(\"select\"==this.model.behavior){const o=this._computed_renderers_by_data_source();for(const[,a]of o){const o=a[0].get_selection_manager(),n=a.map(e=>this.plot_view.renderer_views.get(e));if(o.select(n,e,t,s)&&null!=i){const{frame:t}=this.plot_view,s=t.xscales[a[0].x_range_name],n=t.yscales[a[0].y_range_name],_=s.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:o.source};i.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.push_state(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=t.get_selection_manager();if(s.inspect(this.plot_view.renderer_views.get(t),e)&&null!=i){const{frame:o}=this.plot_view,a=o.xscales[t.x_range_name],n=o.yscales[t.y_range_name],_=a.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:s.source};i.execute(this.model,l)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class c extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=n.bk_tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=_,this.define({behavior:[a.TapBehavior,\"select\"],callback:[a.Any]}),this.register_alias(\"click\",()=>new c({behavior:\"inspect\"})),this.register_alias(\"tap\",()=>new c)}}s.TapTool=c,c.__name__=\"TapTool\",c.init_TapTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),i=n.__importStar(e(18)),a=e(287);class l extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){const{frame:t}=this.plot_view,s=t.bbox.h_range,n=t.bbox.v_range,[o,i]=[s.start,s.end],[a,l]=[n.start,n.end];let r,h,_,d;switch(this.model.dimension){case\"height\":{const t=Math.abs(l-a);r=o,h=i,_=a-t*e,d=l-t*e;break}case\"width\":{const t=Math.abs(i-o);r=o-t*e,h=i-t*e,_=a,d=l;break}default:throw new Error(\"this shouldn't have happened\")}const{xscales:c,yscales:p}=t,m={};for(const e in c){const t=c[e],[s,n]=t.r_invert(r,h);m[e]={start:s,end:n}}const u={};for(const e in p){const t=p[e],[s,n]=t.r_invert(_,d);u[e]={start:s,end:n}}const w={xrs:m,yrs:u,factor:e};this.plot_view.push_state(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,!1,!0),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}s.WheelPanToolView=l,l.__name__=\"WheelPanToolView\";class r extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=a.bk_tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=l,this.define({dimension:[i.Dimension,\"width\"]}),this.internal({speed:[i.Number,.001]}),this.register_alias(\"xwheel_pan\",()=>new r({dimension:\"width\"})),this.register_alias(\"ywheel_pan\",()=>new r({dimension:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimension)}}s.WheelPanTool=r,r.__name__=\"WheelPanTool\",r.init_WheelPanTool()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),i=e(284),l=e(330),n=s.__importStar(e(18)),_=e(28),h=e(287);class a extends i.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:l}=e;let n;n=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:n,ctrlKey:i,shiftKey:l})}_scroll(e){const{frame:o}=this.plot_view,t=o.bbox.h_range,s=o.bbox.v_range,{sx:i,sy:n}=e,_=this.model.dimensions,h=(\"width\"==_||\"both\"==_)&&t.start<i&&i<t.end,a=(\"height\"==_||\"both\"==_)&&s.start<n&&n<s.end;if(!(h&&a||this.model.zoom_on_axis))return;const m=this.model.speed*e.delta,r=l.scale_range(o,m,h,a,{x:i,y:n});this.plot_view.push_state(\"wheel_zoom\",{range:r}),this.plot_view.update_range(r,!1,!0,this.model.maintain_focus),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}t.WheelZoomToolView=a,a.__name__=\"WheelZoomToolView\";class m extends i.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=h.bk_tool_icon_wheel_zoom,this.event_type=_.is_mobile?\"pinch\":\"scroll\",this.default_order=10}static init_WheelZoomTool(){this.prototype.default_view=a,this.define({dimensions:[n.Dimensions,\"both\"],maintain_focus:[n.Boolean,!0],zoom_on_axis:[n.Boolean,!0],speed:[n.Number,1/600]}),this.register_alias(\"wheel_zoom\",()=>new m({dimensions:\"both\"})),this.register_alias(\"xwheel_zoom\",()=>new m({dimensions:\"width\"})),this.register_alias(\"ywheel_zoom\",()=>new m({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}t.WheelZoomTool=m,m.__name__=\"WheelZoomTool\",m.init_WheelZoomTool()},\n      function _(i,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=i(1),o=i(274),n=i(141),l=t.__importStar(i(18)),h=i(17),a=i(287);class r extends o.InspectToolView{_move(i){if(!this.model.active)return;const{sx:s,sy:e}=i;this.plot_view.frame.bbox.contains(s,e)?this._update_spans(s,e):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,s){const e=this.model.dimensions;\"width\"!=e&&\"both\"!=e||(this.model.spans.width.location=s),\"height\"!=e&&\"both\"!=e||(this.model.spans.height.location=i)}}e.CrosshairToolView=r,r.__name__=\"CrosshairToolView\";class _ extends o.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=a.bk_tool_icon_crosshair}static init_CrosshairTool(){this.prototype.default_view=r,this.define({dimensions:[l.Dimensions,\"both\"],line_color:[l.Color,\"black\"],line_width:[l.Number,1],line_alpha:[l.Number,1]}),this.internal({spans:[l.Any]}),this.register_alias(\"crosshair\",()=>new _)}get tooltip(){return this._get_dim_tooltip(\"Crosshair\",this.dimensions)}get synthetic_renderers(){return h.values(this.spans)}initialize(){super.initialize(),this.spans={width:new n.Span({for_hover:!0,dimension:\"width\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha}),height:new n.Span({for_hover:!0,dimension:\"height\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha})}}}e.CrosshairTool=_,_.__name__=\"CrosshairTool\",_.init_CrosshairTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),o=e(71),i=r.__importStar(e(18)),a=e(17),n=e(24);class u extends o.Model{constructor(e){super(e)}static init_CustomJSHover(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get values(){return a.values(this.args)}_make_code(e,t,s,r){return new Function(...a.keys(this.args),e,t,s,n.use_strict(r))}format(e,t,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,t,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(274),i=e(144),r=e(81),l=e(100),a=e(341),c=n.__importStar(e(93)),d=e(160),_=e(68),p=n.__importStar(e(18)),h=e(20),m=e(17),u=e(8),y=e(99),x=e(287),f=e(145);function v(e,t,s,n,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[e+1]};let a,d;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-s),d=Math.abs(l.x-s)):(a=Math.abs(r.y-n),d=Math.abs(l.y-n));else{const e={x:s,y:n};a=c.dist_2_pts(r,e),d=c.dist_2_pts(l,e)}return a<d?[[r.x,r.y],e]:[[l.x,l.y],e+1]}function w(e,t,s){return[[e[s],t[s]],s]}s._nearest_line_hit=v,s._line_hit=w;class g extends o.InspectToolView{initialize(){super.initialize(),this._ttmodels=null,this._ttviews=new Map}remove(){y.remove_views(this._ttviews),super.remove()}connect_signals(){super.connect_signals();for(const e of this.computed_renderers)e instanceof r.GlyphRenderer?this.connect(e.data_source.inspect,this._update):e instanceof l.GraphRenderer&&(this.connect(e.node_renderer.data_source.inspect,this._update),this.connect(e.edge_renderer.data_source.inspect,this._update));this.connect(this.model.properties.renderers.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.names.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.tooltips.change,()=>this._ttmodels=null)}_compute_ttmodels(){const e=new Map,t=this.model.tooltips;if(null!=t)for(const s of this.computed_renderers){const n=new i.Tooltip({custom:u.isString(t)||u.isFunction(t),attachment:this.model.attachment,show_arrow:this.model.show_arrow});s instanceof r.GlyphRenderer?e.set(s,n):s instanceof l.GraphRenderer&&(e.set(s.node_renderer,n),e.set(s.edge_renderer,n))}return y.build_views(this._ttviews,[...e.values()],{parent:this.plot_view}),e}get computed_renderers(){if(null==this._computed_renderers){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;this._computed_renderers=a.compute_renderers(e,t,s)}return this._computed_renderers}get ttmodels(){return null==this._ttmodels&&(this._ttmodels=this._compute_ttmodels()),this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)?this._inspect(t,s):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let s;if(\"mouse\"==this.model.mode)s={type:\"point\",sx:e,sy:t};else{s={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){e.get_selection_manager().inspect(this.plot_view.renderer_views.get(e),s)}null!=this.model.callback&&this._emit_callback(s)}_update([e,{geometry:t}]){if(!this.model.active)return;if(!(e instanceof r.GlyphRendererView))return;const{model:s}=e;if(\"ignore\"==this.model.muted_policy&&s instanceof r.GlyphRenderer&&s.muted)return;const n=this.ttmodels.get(s);if(null==n)return;n.clear();const o=s.get_selection_manager();let i=o.inspectors.get(s);if(s instanceof r.GlyphRenderer&&(i=s.view.convert_selection_to_subset(i)),i.is_empty())return;const l=o.source,{frame:a}=this.plot_view,{sx:c,sy:d}=t,_=a.xscales[s.x_range_name],p=a.yscales[s.y_range_name],h=_.invert(c),u=p.invert(d),y=e.glyph;for(const s of i.line_indices){let o,r,a=y._x[s+1],m=y._y[s+1],x=s;switch(this.model.line_policy){case\"interp\":[a,m]=y.get_interpolation_hit(s,t),o=_.compute(a),r=p.compute(m);break;case\"prev\":[[o,r],x]=w(y.sx,y.sy,s);break;case\"next\":[[o,r],x]=w(y.sx,y.sy,s+1);break;case\"nearest\":[[o,r],x]=v(s,t,c,d,y.sx,y.sy),a=y._x[x],m=y._y[x];break;default:[o,r]=[c,d]}const f={index:x,x:h,y:u,sx:c,sy:d,data_x:a,data_y:m,rx:o,ry:r,indices:i.line_indices,name:e.model.name};n.add(o,r,this._render_tooltips(l,x,f))}for(const e of i.image_indices){const t={index:e.index,x:h,y:u,sx:c,sy:d},s=this._render_tooltips(l,e,t);n.add(c,d,s)}for(const o of i.indices)if(m.isEmpty(i.multiline_indices)){const t=null!=y._x?y._x[o]:void 0,a=null!=y._y?y._y[o]:void 0;let _,p,m;if(\"snap_to_data\"==this.model.point_policy){let e=y.get_anchor_point(this.model.anchor,o,[c,d]);null==e&&(e=y.get_anchor_point(\"center\",o,[c,d])),_=e.x,p=e.y}else[_,p]=[c,d];m=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const x={index:m,x:h,y:u,sx:c,sy:d,data_x:t,data_y:a,indices:i.indices,name:e.model.name};n.add(_,p,this._render_tooltips(l,m,x))}else for(const a of i.multiline_indices[o.toString()]){let m,x,f,g=y._xs[o][a],b=y._ys[o][a],k=a;switch(this.model.line_policy){case\"interp\":[g,b]=y.get_interpolation_hit(o,a,t),m=_.compute(g),x=p.compute(b);break;case\"prev\":[[m,x],k]=w(y.sxs[o],y.sys[o],a);break;case\"next\":[[m,x],k]=w(y.sxs[o],y.sys[o],a+1);break;case\"nearest\":[[m,x],k]=v(a,t,c,d,y.sxs[o],y.sys[o]),g=y._xs[o][k],b=y._ys[o][k];break;default:throw new Error(\"should't have happened\")}f=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const T={index:f,x:h,y:u,sx:c,sy:d,data_x:g,data_y:b,segment_index:k,indices:i.multiline_indices,name:e.model.name};n.add(m,x,this._render_tooltips(l,f,T))}}_emit_callback(e){for(const t of this.computed_renderers){const s=t.data_source.inspected,{frame:n}=this.plot_view,o=n.xscales[t.x_range_name],i=n.yscales[t.y_range_name],r=o.invert(e.sx),l=i.invert(e.sy),a=Object.assign({x:r,y:l},e);this.model.callback.execute(this.model,{index:s,geometry:a,renderer:t})}}_render_tooltips(e,t,s){const n=this.model.tooltips;if(u.isString(n)){const o=_.div();return o.innerHTML=d.replace_placeholders(n,e,t,this.model.formatters,s),o}if(u.isFunction(n))return n(e,s);{const o=_.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[i,r]of n){const n=_.div({style:{display:\"table-row\"}});let l;if(o.appendChild(n),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_label},0!=i.length?i+\": \":\"\"),n.appendChild(l),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_value}),n.appendChild(l),r.indexOf(\"$color\")>=0){const[,s=\"\",n]=r.match(/\\$color(\\[.*\\])?:(\\w*)/),o=e.get_column(n);if(null==o){const e=_.span({},n+\" unknown\");l.appendChild(e);continue}const i=s.indexOf(\"hex\")>=0,a=s.indexOf(\"swatch\")>=0;let c=u.isNumber(t)?o[t]:null;if(null==c){const e=_.span({},\"(null)\");l.appendChild(e);continue}i&&(c=h.color2hex(c));let d=_.span({},c);l.appendChild(d),a&&(d=_.span({class:f.bk_tooltip_color_block,style:{backgroundColor:c}},\" \"),l.appendChild(d))}else{const n=_.span();n.innerHTML=d.replace_placeholders(r.replace(\"$~\",\"$data_\"),e,t,this.model.formatters,s),l.appendChild(n)}}return o}}}s.HoverToolView=g,g.__name__=\"HoverToolView\";class b extends o.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=x.bk_tool_icon_hover}static init_HoverTool(){this.prototype.default_view=g,this.define({tooltips:[p.Any,[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[p.Any,{}],renderers:[p.Any,\"auto\"],names:[p.Array,[]],mode:[p.HoverMode,\"mouse\"],muted_policy:[p.MutedPolicy,\"show\"],point_policy:[p.PointPolicy,\"snap_to_data\"],line_policy:[p.LinePolicy,\"nearest\"],show_arrow:[p.Boolean,!0],anchor:[p.Anchor,\"center\"],attachment:[p.TooltipAttachment,\"horizontal\"],callback:[p.Any]}),this.register_alias(\"hover\",()=>new b)}}s.HoverTool=b,b.__name__=\"HoverTool\",b.init_HoverTool()},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),n=t(14),s=t(71),l=t(274),c=t(356);class r extends s.Model{constructor(t){super(t)}static init_ToolProxy(){this.define({tools:[i.Array,[]],active:[i.Boolean,!1],disabled:[i.Boolean,!1]})}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof l.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new n.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,()=>this.doit()),this.connect(this.properties.active.change,()=>this.set_active());for(const t of this.tools)this.connect(t.properties.active.change,()=>{this.active=t.active})}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,i]of c.enumerate(t))if(null==e)o.push(null);else{const t=()=>{var t,o;for(const e of this.tools)null===(o=null===(t=e.menu)||void 0===t?void 0:t[i])||void 0===o||o.handler()};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=r,r.__name__=\"ToolProxy\",r.init_ToolProxy()},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=e(9);function*r(e,n){const o=e.length;if(n>o)return;const r=t.range(n);for(yield r.map(n=>e[n]);;){let f;for(const e of t.reversed(t.range(n)))if(r[e]!=e+o-n){f=e;break}if(null==f)return;r[f]+=1;for(const e of t.range(f+1,n))r[e]=r[e-1]+1;yield r.map(n=>e[n])}}o.enumerate=function*(e){let n=0;for(const o of e)yield[o,n++]},o.combinations=r,o.subsets=function*(e){for(const n of t.range(e.length+1))yield*r(e,n)}},\n      function _(t,o,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),e=t(9),n=t(283),r=t(355),l=t(245),c=t(188);class h extends n.ToolbarBase{constructor(t){super(t)}static init_ProxyToolbar(){this.define({toolbars:[i.Array,[]]})}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const t={},o={},s={},i=[],n=[];for(const t of this.help)e.includes(n,t.redirect)||(i.push(t),n.push(t.redirect));this._proxied_tools.push(...i),this.help=i;for(const t in this.gestures){const o=this.gestures[t];t in s||(s[t]={});for(const i of o.tools)i.type in s[t]||(s[t][i.type]=[]),s[t][i.type].push(i)}for(const o of this.inspectors)o.type in t||(t[o.type]=[]),t[o.type].push(o);for(const t of this.actions)t.type in o||(o[t.type]=[]),o[t.type].push(t);const l=(t,o=!1)=>{const s=new r.ToolProxy({tools:t,active:o});return this._proxied_tools.push(s),s};for(const t in s){const o=this.gestures[t];o.tools=[];for(const i in s[t]){const e=s[t][i];if(e.length>0)if(\"multi\"==t)for(const t of e){const s=l([t]);o.tools.push(s),this.connect(s.properties.active.change,()=>this._active_change(s))}else{const t=l(e);o.tools.push(t),this.connect(t.properties.active.change,()=>this._active_change(t))}}}this.actions=[];for(const t in o){const s=o[t];if(\"CustomAction\"==t)for(const t of s)this.actions.push(l([t]));else s.length>0&&this.actions.push(l(s))}this.inspectors=[];for(const o in t){const s=t[o];s.length>0&&this.inspectors.push(l(s,!0))}for(const t in this.gestures){const o=this.gestures[t];0!=o.tools.length&&(o.tools=e.sort_by(o.tools,t=>t.default_order),\"pinch\"!=t&&\"scroll\"!=t&&\"multi\"!=t&&(o.tools[0].active=!0))}}}s.ProxyToolbar=h,h.__name__=\"ProxyToolbar\",h.init_ProxyToolbar();class a extends l.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new c.ContentBox(this.child_views[0].el);const{toolbar:t}=this.model;t.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}}s.ToolbarBoxView=a,a.__name__=\"ToolbarBoxView\";class _ extends l.LayoutDOM{constructor(t){super(t)}static init_ToolbarBox(){this.prototype.default_view=a,this.define({toolbar:[i.Instance],toolbar_location:[i.Location,\"right\"]})}}s.ToolbarBox=_,_.__name__=\"ToolbarBox\",_.init_ToolbarBox()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(5),i=e(66),d=e(99),c=e(68),l=e(359);t.index={},t.add_document_standalone=async function(e,n,s=[],a=!1){const u=new Map;async function r(o){let a;const r=e.roots().indexOf(o),f=s[r];null!=f?a=f:n.classList.contains(l.BOKEH_ROOT)?a=n:(a=c.div({class:l.BOKEH_ROOT}),n.appendChild(a));const v=await d.build_view(o,{parent:null});return v instanceof i.DOMView&&v.renderTo(a),u.set(o,v),t.index[o.id]=v,v}for(const n of e.roots())await r(n);return a&&(window.document.title=e.title()),e.on_change(e=>{e instanceof o.RootAddedEvent?r(e.model):e instanceof o.RootRemovedEvent?function(e){const n=u.get(e);null!=n&&(n.remove(),u.delete(e),delete t.index[e.id])}(e.model):a&&e instanceof o.TitleChangedEvent&&(window.document.title=e.title)}),[...u.values()]}},\n      function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(68),r=e(246);function l(e){let o=document.getElementById(e);if(null==o)throw new 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specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. 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h extends s.InputWidget{constructor(e){super(e)}static init_TextInput(){this.prototype.default_view=a,this.define({value:[p.String,\"\"],value_input:[p.String,\"\"],placeholder:[p.String,\"\"]})}}i.TextInput=h,h.__name__=\"TextInput\",h.init_TextInput()},\n      398: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),l=t(393),s=t(68),_=n.__importStar(t(18)),o=n.__importDefault(t(399)),r=t(400);class p extends l.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,()=>{this.label_el.textContent=this.model.title})}styles(){return[...super.styles(),o.default]}render(){super.render();const{title:t}=this.model;this.label_el=s.label({style:{display:0==t.length?\"none\":\"\"}},t),this.group_el=s.div({class:r.bk_input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=p,p.__name__=\"InputWidgetView\";class u extends l.Control{constructor(t){super(t)}static init_InputWidget(){this.define({title:[_.String,\"\"]})}}i.InputWidget=u,u.__name__=\"InputWidget\",u.init_InputWidget()},\n      399: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-input {\\n  display: inline-block;\\n  width: 100%;\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  min-height: 31px;\\n  padding: 0 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n}\\n.bk-root .bk-input:focus {\\n  border-color: #66afe9;\\n  outline: 0;\\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);\\n}\\n.bk-root .bk-input::placeholder,\\n.bk-root .bk-input:-ms-input-placeholder,\\n.bk-root .bk-input::-moz-placeholder,\\n.bk-root .bk-input::-webkit-input-placeholder {\\n  color: #999;\\n  opacity: 1;\\n}\\n.bk-root .bk-input[disabled] {\\n  cursor: not-allowed;\\n  background-color: #eee;\\n  opacity: 1;\\n}\\n.bk-root select:not([multiple]).bk-input,\\n.bk-root select:not([size]).bk-input {\\n  height: auto;\\n  appearance: none;\\n  -webkit-appearance: none;\\n  background-image: url(\\'data:image/svg+xml;utf8,<svg version=\"1.1\" viewBox=\"0 0 25 20\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M 0,0 25,0 12.5,20 Z\" fill=\"black\" /></svg>\\');\\n  background-position: right 0.5em center;\\n  background-size: 8px 6px;\\n  background-repeat: no-repeat;\\n}\\n.bk-root select[multiple].bk-input,\\n.bk-root select[size].bk-input,\\n.bk-root textarea.bk-input {\\n  height: auto;\\n}\\n.bk-root .bk-input-group {\\n  width: 100%;\\n  height: 100%;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: start;\\n  -webkit-align-items: start;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  white-space: nowrap;\\n}\\n.bk-root .bk-input-group.bk-inline {\\n  flex-direction: row;\\n  -webkit-flex-direction: 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i=t(1),c=t(403),s=t(68),n=i.__importStar(t(18)),a=t(146);class u extends c.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach((e,o)=>{s.classes(e).toggle(a.bk_active,t.has(o))})}}o.CheckboxButtonGroupView=u,u.__name__=\"CheckboxButtonGroupView\";class r extends c.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=u,this.define({active:[n.Array,[]]})}}o.CheckboxButtonGroup=r,r.__name__=\"CheckboxButtonGroup\",r.init_CheckboxButtonGroup()},\n      403: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),o=t(393),i=t(68),r=n.__importStar(t(18)),_=t(254),u=n.__importDefault(t(256));class a extends o.ControlView{*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,()=>this.render()),this.on_change(t.labels,()=>this.render()),this.on_change(t.active,()=>this._update_active())}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map((t,e)=>{const s=i.div({class:[_.bk_btn,_.bk_btn_type(this.model.button_type)],disabled:this.model.disabled},t);return s.addEventListener(\"click\",()=>this.change_active(e)),s}),this._update_active();const t=i.div({class:_.bk_btn_group},this._buttons);this.el.appendChild(t)}}s.ButtonGroupView=a,a.__name__=\"ButtonGroupView\";class l extends o.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define({labels:[r.Array,[]],button_type:[r.ButtonType,\"default\"]})}}s.ButtonGroup=l,l.__name__=\"ButtonGroup\",l.init_ButtonGroup()},\n      404: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(405),o=e(68),c=e(9),a=n.__importStar(e(18)),l=e(146),d=e(400);class r extends 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s=e(1),o=e(393),r=s.__importDefault(e(399));class u extends o.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}styles(){return[...super.styles(),r.default]}}n.InputGroupView=u,u.__name__=\"InputGroupView\";class _ extends o.Control{constructor(e){super(e)}}n.InputGroup=_,_.__name__=\"InputGroup\"},\n      406: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),o=e(398),s=e(68),l=n.__importStar(e(18)),r=e(400);class c extends 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K(){s(h.monthNav),h.monthNav.appendChild(h.prevMonthNav),h.config.showMonths&&(h.yearElements=[],h.monthElements=[]);for(var e=h.config.showMonths;e--;){var t=J();h.yearElements.push(t.yearElement),h.monthElements.push(t.monthElement),h.monthNav.appendChild(t.container)}h.monthNav.appendChild(h.nextMonthNav)}function U(){h.weekdayContainer?s(h.weekdayContainer):h.weekdayContainer=d(\"div\",\"flatpickr-weekdays\");for(var e=h.config.showMonths;e--;){var t=d(\"div\",\"flatpickr-weekdaycontainer\");h.weekdayContainer.appendChild(t)}return q(),h.weekdayContainer}function q(){if(h.weekdayContainer){var e=h.l10n.firstDayOfWeek,t=h.l10n.weekdays.shorthand.slice();e>0&&e<t.length&&(t=t.splice(e,t.length).concat(t.splice(0,e)));for(var n=h.config.showMonths;n--;)h.weekdayContainer.children[n].innerHTML=\"\\n      <span class='flatpickr-weekday'>\\n        \"+t.join(\"</span><span class='flatpickr-weekday'>\")+\"\\n      </span>\\n      \"}}function $(e,t){void 0===t&&(t=!0);var n=t?e:e-h.currentMonth;n<0&&!0===h._hidePrevMonthArrow||n>0&&!0===h._hideNextMonthArrow||(h.currentMonth+=n,(h.currentMonth<0||h.currentMonth>11)&&(h.currentYear+=h.currentMonth>11?1:-1,h.currentMonth=(h.currentMonth+12)%12,fe(\"onYearChange\"),B()),R(),fe(\"onMonthChange\"),pe())}function z(e){return!(!h.config.appendTo||!h.config.appendTo.contains(e))||h.calendarContainer.contains(e)}function G(e){if(h.isOpen&&!h.config.inline){var t=\"function\"==typeof(r=e).composedPath?r.composedPath()[0]:r.target,n=z(t),a=t===h.input||t===h.altInput||h.element.contains(t)||e.path&&e.path.indexOf&&(~e.path.indexOf(h.input)||~e.path.indexOf(h.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!z(e.relatedTarget):!a&&!n&&!z(e.relatedTarget),o=!h.config.ignoredFocusElements.some((function(e){return e.contains(t)}));i&&o&&(void 0!==h.timeContainer&&void 0!==h.minuteElement&&void 0!==h.hourElement&&x(),h.close(),\"range\"===h.config.mode&&1===h.selectedDates.length&&(h.clear(!1),h.redraw()))}var 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h.l10n.amPM[0].charAt(0):case h.l10n.amPM[0].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[0],E(),ve();break;case h.l10n.amPM[1].charAt(0):case h.l10n.amPM[1].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[1],E(),ve()}(t||z(e.target))&&fe(\"onKeyDown\",e)}function ee(e){if(1===h.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var t=e?e.dateObj.getTime():h.days.firstElementChild.dateObj.getTime(),n=h.parseDate(h.selectedDates[0],void 0,!0).getTime(),a=Math.min(t,h.selectedDates[0].getTime()),i=Math.max(t,h.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;c<i;c+=b)Z(new Date(c),!0)||(o=o||c>a&&c<i,c<n&&(!r||c>r)?r=c:c>n&&(!l||c<l)&&(l=c));for(var d=0;d<h.config.showMonths;d++)for(var s=h.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(t<=h.selectedDates[0].getTime()?\"startRange\":\"endRange\"),n<t&&m===n?f.classList.add(\"startRange\"):n>t&&m===n&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=n,u=t,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function te(){!h.isOpen||h.config.static||h.config.inline||oe()}function ne(){h.setDate(void 0!==h.config.minDate?new Date(h.config.minDate.getTime()):new Date,!0),k(),ve()}function ae(e){return function(t){var n=h.config[\"_\"+e+\"Date\"]=h.parseDate(t,h.config.dateFormat),a=h.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==n&&(h[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=n.getHours()>0||n.getMinutes()>0||n.getSeconds()>0),h.selectedDates&&(h.selectedDates=h.selectedDates.filter((function(e){return Z(e)})),h.selectedDates.length||\"min\"!==e||T(n),ve()),h.daysContainer&&(re(),void 0!==n?h.currentYearElement[e]=n.getFullYear().toString():h.currentYearElement.removeAttribute(e),h.currentYearElement.disabled=!!a&&void 0!==n&&a.getFullYear()===n.getFullYear())}}function ie(){\"object\"!=typeof h.config.locale&&void 0===y.l10ns[h.config.locale]&&h.config.errorHandler(new Error(\"flatpickr: invalid locale \"+h.config.locale)),h.l10n=e({},y.l10ns.default,\"object\"==typeof h.config.locale?h.config.locale:\"default\"!==h.config.locale?y.l10ns[h.config.locale]:void 0),p.K=\"(\"+h.l10n.amPM[0]+\"|\"+h.l10n.amPM[1]+\"|\"+h.l10n.amPM[0].toLowerCase()+\"|\"+h.l10n.amPM[1].toLowerCase()+\")\",void 0===e({},g,JSON.parse(JSON.stringify(f.dataset||{}))).time_24hr&&void 0===y.defaultConfig.time_24hr&&(h.config.time_24hr=h.l10n.time_24hr),h.formatDate=v(h),h.parseDate=D({config:h.config,l10n:h.l10n})}function oe(e){if(void 0!==h.calendarContainer){fe(\"onPreCalendarPosition\");var t=e||h._positionElement,n=Array.prototype.reduce.call(h.calendarContainer.children,(function(e,t){return e+t.offsetHeight}),0),a=h.calendarContainer.offsetWidth,i=h.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=t.getBoundingClientRect(),d=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&d<n&&l.top>n,u=window.pageYOffset+l.top+(s?-n-2:t.offsetHeight+2);if(c(h.calendarContainer,\"arrowTop\",!s),c(h.calendarContainer,\"arrowBottom\",s),!h.config.inline){var f=window.pageXOffset+l.left-(null!=r&&\"center\"===r?(a-l.width)/2:0),m=window.document.body.offsetWidth-(window.pageXOffset+l.right),g=f+a>window.document.body.offsetWidth,p=m+a>window.document.body.offsetWidth;if(c(h.calendarContainer,\"rightMost\",g),!h.config.static)if(h.calendarContainer.style.top=u+\"px\",g)if(p){var v=document.styleSheets[0];if(void 0===v)return;var D=window.document.body.offsetWidth,w=Math.max(0,D/2-a/2),b=v.cssRules.length,C=\"{left:\"+l.left+\"px;right:auto;}\";c(h.calendarContainer,\"rightMost\",!1),c(h.calendarContainer,\"centerMost\",!0),v.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+C,b),h.calendarContainer.style.left=w+\"px\",h.calendarContainer.style.right=\"auto\"}else h.calendarContainer.style.left=\"auto\",h.calendarContainer.style.right=m+\"px\";else h.calendarContainer.style.left=f+\"px\",h.calendarContainer.style.right=\"auto\"}}}function re(){h.config.noCalendar||h.isMobile||(pe(),R())}function le(){h._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(h.close,0):h.close()}function ce(e){e.preventDefault(),e.stopPropagation();var t=function e(t,n){return n(t)?t:t.parentNode?e(t.parentNode,n):void 0}(e.target,(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==t){var n=t,a=h.latestSelectedDateObj=new Date(n.dateObj.getTime()),i=(a.getMonth()<h.currentMonth||a.getMonth()>h.currentMonth+h.config.showMonths-1)&&\"range\"!==h.config.mode;if(h.selectedDateElem=n,\"single\"===h.config.mode)h.selectedDates=[a];else if(\"multiple\"===h.config.mode){var o=ge(a);o?h.selectedDates.splice(parseInt(o),1):h.selectedDates.push(a)}else\"range\"===h.config.mode&&(2===h.selectedDates.length&&h.clear(!1,!1),h.latestSelectedDateObj=a,h.selectedDates.push(a),0!==w(a,h.selectedDates[0],!0)&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()})));if(E(),i){var r=h.currentYear!==a.getFullYear();h.currentYear=a.getFullYear(),h.currentMonth=a.getMonth(),r&&(fe(\"onYearChange\"),B()),fe(\"onMonthChange\")}if(pe(),R(),ve(),h.config.enableTime&&setTimeout((function(){return h.showTimeInput=!0}),50),i||\"range\"===h.config.mode||1!==h.config.showMonths?void 0!==h.selectedDateElem&&void 0===h.hourElement&&h.selectedDateElem&&h.selectedDateElem.focus():j(n),void 0!==h.hourElement&&void 0!==h.hourElement&&h.hourElement.focus(),h.config.closeOnSelect){var l=\"single\"===h.config.mode&&!h.config.enableTime,c=\"range\"===h.config.mode&&2===h.selectedDates.length&&!h.config.enableTime;(l||c)&&le()}F()}}h.parseDate=D({config:h.config,l10n:h.l10n}),h._handlers=[],h.pluginElements=[],h.loadedPlugins=[],h._bind=O,h._setHoursFromDate=T,h._positionCalendar=oe,h.changeMonth=$,h.changeYear=V,h.clear=function(e,t){void 0===e&&(e=!0),void 0===t&&(t=!0),h.input.value=\"\",void 0!==h.altInput&&(h.altInput.value=\"\"),void 0!==h.mobileInput&&(h.mobileInput.value=\"\"),h.selectedDates=[],h.latestSelectedDateObj=void 0,!0===t&&(h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth()),h.showTimeInput=!1,!0===h.config.enableTime&&k(),h.redraw(),e&&fe(\"onChange\")},h.close=function(){h.isOpen=!1,h.isMobile||(void 0!==h.calendarContainer&&h.calendarContainer.classList.remove(\"open\"),void 0!==h._input&&h._input.classList.remove(\"active\")),fe(\"onClose\")},h._createElement=d,h.destroy=function(){void 0!==h.config&&fe(\"onDestroy\");for(var e=h._handlers.length;e--;){var t=h._handlers[e];t.element.removeEventListener(t.event,t.handler,t.options)}if(h._handlers=[],h.mobileInput)h.mobileInput.parentNode&&h.mobileInput.parentNode.removeChild(h.mobileInput),h.mobileInput=void 0;else if(h.calendarContainer&&h.calendarContainer.parentNode)if(h.config.static&&h.calendarContainer.parentNode){var n=h.calendarContainer.parentNode;if(n.lastChild&&n.removeChild(n.lastChild),n.parentNode){for(;n.firstChild;)n.parentNode.insertBefore(n.firstChild,n);n.parentNode.removeChild(n)}}else h.calendarContainer.parentNode.removeChild(h.calendarContainer);h.altInput&&(h.input.type=\"text\",h.altInput.parentNode&&h.altInput.parentNode.removeChild(h.altInput),delete 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h.clear(t);se(e,n),h.showTimeInput=h.selectedDates.length>0,h.latestSelectedDateObj=h.selectedDates[h.selectedDates.length-1],h.redraw(),N(),T(),0===h.selectedDates.length&&h.clear(!1),ve(t),t&&fe(\"onChange\")},h.toggle=function(e){if(!0===h.isOpen)return h.close();h.open(e)};var de={locale:[ie,q],showMonths:[K,M,U],minDate:[N],maxDate:[N]};function se(e,t){var n=[];if(e instanceof Array)n=e.map((function(e){return h.parseDate(e,t)}));else if(e instanceof Date||\"number\"==typeof e)n=[h.parseDate(e,t)];else if(\"string\"==typeof e)switch(h.config.mode){case\"single\":case\"time\":n=[h.parseDate(e,t)];break;case\"multiple\":n=e.split(h.config.conjunction).map((function(e){return h.parseDate(e,t)}));break;case\"range\":n=e.split(h.l10n.rangeSeparator).map((function(e){return h.parseDate(e,t)}))}else h.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));h.selectedDates=n.filter((function(e){return e instanceof Date&&Z(e,!1)})),\"range\"===h.config.mode&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()}))}function ue(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?h.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:h.parseDate(e.from,void 0),to:h.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function fe(e,t){if(void 0!==h.config){var n=h.config[e];if(void 0!==n&&n.length>0)for(var a=0;n[a]&&a<n.length;a++)n[a](h.selectedDates,h.input.value,h,t);\"onChange\"===e&&(h.input.dispatchEvent(me(\"change\")),h.input.dispatchEvent(me(\"input\")))}}function me(e){var t=document.createEvent(\"Event\");return t.initEvent(e,!0,!0),t}function ge(e){for(var t=0;t<h.selectedDates.length;t++)if(0===w(h.selectedDates[t],e))return\"\"+t;return!1}function pe(){h.config.noCalendar||h.isMobile||!h.monthNav||(h.yearElements.forEach((function(e,t){var n=new Date(h.currentYear,h.currentMonth,1);n.setMonth(h.currentMonth+t),h.config.showMonths>1||\"static\"===h.config.monthSelectorType?h.monthElements[t].textContent=m(n.getMonth(),h.config.shorthandCurrentMonth,h.l10n)+\" \":h.monthsDropdownContainer.value=n.getMonth().toString(),e.value=n.getFullYear().toString()})),h._hidePrevMonthArrow=void 0!==h.config.minDate&&(h.currentYear===h.config.minDate.getFullYear()?h.currentMonth<=h.config.minDate.getMonth():h.currentYear<h.config.minDate.getFullYear()),h._hideNextMonthArrow=void 0!==h.config.maxDate&&(h.currentYear===h.config.maxDate.getFullYear()?h.currentMonth+1>h.config.maxDate.getMonth():h.currentYear>h.config.maxDate.getFullYear()))}function he(e){return h.selectedDates.map((function(t){return h.formatDate(t,e)})).filter((function(e,t,n){return\"range\"!==h.config.mode||h.config.enableTime||n.indexOf(e)===t})).join(\"range\"!==h.config.mode?h.config.conjunction:h.l10n.rangeSeparator)}function ve(e){void 0===e&&(e=!0),void 0!==h.mobileInput&&h.mobileFormatStr&&(h.mobileInput.value=void 0!==h.latestSelectedDateObj?h.formatDate(h.latestSelectedDateObj,h.mobileFormatStr):\"\"),h.input.value=he(h.config.dateFormat),void 0!==h.altInput&&(h.altInput.value=he(h.config.altFormat)),!1!==e&&fe(\"onValueUpdate\")}function De(e){var t=h.prevMonthNav.contains(e.target),n=h.nextMonthNav.contains(e.target);t||n?$(t?-1:1):h.yearElements.indexOf(e.target)>=0?e.target.select():e.target.classList.contains(\"arrowUp\")?h.changeYear(h.currentYear+1):e.target.classList.contains(\"arrowDown\")&&h.changeYear(h.currentYear-1)}return function(){h.element=h.input=f,h.isOpen=!1,function(){var a=[\"wrap\",\"weekNumbers\",\"allowInput\",\"clickOpens\",\"time_24hr\",\"enableTime\",\"noCalendar\",\"altInput\",\"shorthandCurrentMonth\",\"inline\",\"static\",\"enableSeconds\",\"disableMobile\"],i=e({},g,JSON.parse(JSON.stringify(f.dataset||{}))),o={};h.config.parseDate=i.parseDate,h.config.formatDate=i.formatDate,Object.defineProperty(h.config,\"enable\",{get:function(){return h.config._enable},set:function(e){h.config._enable=ue(e)}}),Object.defineProperty(h.config,\"disable\",{get:function(){return h.config._disable},set:function(e){h.config._disable=ue(e)}});var r=\"time\"===i.mode;if(!i.dateFormat&&(i.enableTime||r)){var c=y.defaultConfig.dateFormat||n.dateFormat;o.dateFormat=i.noCalendar||r?\"H:i\"+(i.enableSeconds?\":S\":\"\"):c+\" H:i\"+(i.enableSeconds?\":S\":\"\")}if(i.altInput&&(i.enableTime||r)&&!i.altFormat){var d=y.defaultConfig.altFormat||n.altFormat;o.altFormat=i.noCalendar||r?\"h:i\"+(i.enableSeconds?\":S K\":\" K\"):d+\" h:i\"+(i.enableSeconds?\":S\":\"\")+\" K\"}i.altInputClass||(h.config.altInputClass=h.input.className+\" \"+h.config.altInputClass),Object.defineProperty(h.config,\"minDate\",{get:function(){return h.config._minDate},set:ae(\"min\")}),Object.defineProperty(h.config,\"maxDate\",{get:function(){return h.config._maxDate},set:ae(\"max\")});var s=function(e){return function(t){h.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=h.parseDate(t,\"H:i:S\")}};Object.defineProperty(h.config,\"minTime\",{get:function(){return h.config._minTime},set:s(\"min\")}),Object.defineProperty(h.config,\"maxTime\",{get:function(){return h.config._maxTime},set:s(\"max\")}),\"time\"===i.mode&&(h.config.noCalendar=!0,h.config.enableTime=!0),Object.assign(h.config,o,i);for(var u=0;u<a.length;u++)h.config[a[u]]=!0===h.config[a[u]]||\"true\"===h.config[a[u]];for(t.filter((function(e){return void 0!==h.config[e]})).forEach((function(e){h.config[e]=l(h.config[e]||[]).map(C)})),h.isMobile=!h.config.disableMobile&&!h.config.inline&&\"single\"===h.config.mode&&!h.config.disable.length&&!h.config.enable.length&&!h.config.weekNumbers&&/Android|webOS|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini/i.test(navigator.userAgent),u=0;u<h.config.plugins.length;u++){var m=h.config.plugins[u](h)||{};for(var p in m)t.indexOf(p)>-1?h.config[p]=l(m[p]).map(C).concat(h.config[p]):void 0===i[p]&&(h.config[p]=m[p])}fe(\"onParseConfig\")}(),ie(),h.input=h.config.wrap?f.querySelector(\"[data-input]\"):f,h.input?(h.input._type=h.input.type,h.input.type=\"text\",h.input.classList.add(\"flatpickr-input\"),h._input=h.input,h.config.altInput&&(h.altInput=d(h.input.nodeName,h.config.altInputClass),h._input=h.altInput,h.altInput.placeholder=h.input.placeholder,h.altInput.disabled=h.input.disabled,h.altInput.required=h.input.required,h.altInput.tabIndex=h.input.tabIndex,h.altInput.type=\"text\",h.input.setAttribute(\"type\",\"hidden\"),!h.config.static&&h.input.parentNode&&h.input.parentNode.insertBefore(h.altInput,h.input.nextSibling)),h.config.allowInput||h._input.setAttribute(\"readonly\",\"readonly\"),h._positionElement=h.config.positionElement||h._input):h.config.errorHandler(new Error(\"Invalid input element specified\")),function(){h.selectedDates=[],h.now=h.parseDate(h.config.now)||new Date;var e=h.config.defaultDate||(\"INPUT\"!==h.input.nodeName&&\"TEXTAREA\"!==h.input.nodeName||!h.input.placeholder||h.input.value!==h.input.placeholder?h.input.value:null);e&&se(e,h.config.dateFormat),h._initialDate=h.selectedDates.length>0?h.selectedDates[0]:h.config.minDate&&h.config.minDate.getTime()>h.now.getTime()?h.config.minDate:h.config.maxDate&&h.config.maxDate.getTime()<h.now.getTime()?h.config.maxDate:h.now,h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth(),h.selectedDates.length>0&&(h.latestSelectedDateObj=h.selectedDates[0]),void 0!==h.config.minTime&&(h.config.minTime=h.parseDate(h.config.minTime,\"H:i\")),void 0!==h.config.maxTime&&(h.config.maxTime=h.parseDate(h.config.maxTime,\"H:i\")),h.minDateHasTime=!!h.config.minDate&&(h.config.minDate.getHours()>0||h.config.minDate.getMinutes()>0||h.config.minDate.getSeconds()>0),h.maxDateHasTime=!!h.config.maxDate&&(h.config.maxDate.getHours()>0||h.config.maxDate.getMinutes()>0||h.config.maxDate.getSeconds()>0),Object.defineProperty(h,\"showTimeInput\",{get:function(){return h._showTimeInput},set:function(e){h._showTimeInput=e,h.calendarContainer&&c(h.calendarContainer,\"showTimeInput\",e),h.isOpen&&oe()}})}(),h.utils={getDaysInMonth:function(e,t){return void 0===e&&(e=h.currentMonth),void 0===t&&(t=h.currentYear),1===e&&(t%4==0&&t%100!=0||t%400==0)?29:h.l10n.daysInMonth[e]}},h.isMobile||function(){var e=window.document.createDocumentFragment();if(h.calendarContainer=d(\"div\",\"flatpickr-calendar\"),h.calendarContainer.tabIndex=-1,!h.config.noCalendar){if(e.appendChild((h.monthNav=d(\"div\",\"flatpickr-months\"),h.yearElements=[],h.monthElements=[],h.prevMonthNav=d(\"span\",\"flatpickr-prev-month\"),h.prevMonthNav.innerHTML=h.config.prevArrow,h.nextMonthNav=d(\"span\",\"flatpickr-next-month\"),h.nextMonthNav.innerHTML=h.config.nextArrow,K(),Object.defineProperty(h,\"_hidePrevMonthArrow\",{get:function(){return h.__hidePrevMonthArrow},set:function(e){h.__hidePrevMonthArrow!==e&&(c(h.prevMonthNav,\"flatpickr-disabled\",e),h.__hidePrevMonthArrow=e)}}),Object.defineProperty(h,\"_hideNextMonthArrow\",{get:function(){return h.__hideNextMonthArrow},set:function(e){h.__hideNextMonthArrow!==e&&(c(h.nextMonthNav,\"flatpickr-disabled\",e),h.__hideNextMonthArrow=e)}}),h.currentYearElement=h.yearElements[0],pe(),h.monthNav)),h.innerContainer=d(\"div\",\"flatpickr-innerContainer\"),h.config.weekNumbers){var t=function(){h.calendarContainer.classList.add(\"hasWeeks\");var e=d(\"div\",\"flatpickr-weekwrapper\");e.appendChild(d(\"span\",\"flatpickr-weekday\",h.l10n.weekAbbreviation));var t=d(\"div\",\"flatpickr-weeks\");return 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.flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: transparent;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: transparent;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: transparent;\\n  color: rgba(0, 0, 0, 0.54);\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #e6e6e6;\\n  box-shadow: -1px 0 0 #e6e6e6;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #393939;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e6e6e6;\\n  border-color: #e6e6e6;\\n}\\n.flatpickr-day.today {\\n  border-color: #959ea9;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #959ea9;\\n  background: #959ea9;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #569ff7;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #569ff7;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #569ff7;\\n  box-shadow: -10px 0 0 #569ff7;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(57, 57, 57, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n  box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  -webkit-box-shadow: 1px 0 0 #e6e6e6;\\n  box-shadow: 1px 0 0 #e6e6e6;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #393939;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #393939;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #393939;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #393939;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eee;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n.flatpickr-calendar {\\n  background: transparent;\\n  opacity: 0;\\n  display: none;\\n  text-align: center;\\n  visibility: hidden;\\n  padding: 0;\\n  -webkit-animation: none;\\n  animation: none;\\n  direction: ltr;\\n  border: 0;\\n  font-size: 14px;\\n  line-height: 24px;\\n  border-radius: 5px;\\n  position: absolute;\\n  width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -ms-touch-action: manipulation;\\n  touch-action: manipulation;\\n  -webkit-box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n  box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n}\\n.flatpickr-calendar.open,\\n.flatpickr-calendar.inline {\\n  opacity: 1;\\n  max-height: 640px;\\n  visibility: visible;\\n}\\n.flatpickr-calendar.open {\\n  display: inline-block;\\n  z-index: 99999;\\n}\\n.flatpickr-calendar.animate.open {\\n  -webkit-animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n  animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n}\\n.flatpickr-calendar.inline {\\n  display: block;\\n  position: relative;\\n  top: 2px;\\n}\\n.flatpickr-calendar.static {\\n  position: absolute;\\n  top: calc(100% + 2px);\\n}\\n.flatpickr-calendar.static.open {\\n  z-index: 999;\\n  display: block;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+1) .flatpickr-day.inRange:nth-child(7n+7) {\\n  -webkit-box-shadow: none !important;\\n  box-shadow: none !important;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+2) .flatpickr-day.inRange:nth-child(7n+1) {\\n  -webkit-box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer,\\n.flatpickr-calendar .hasTime .dayContainer {\\n  border-bottom: 0;\\n  border-bottom-right-radius: 0;\\n  border-bottom-left-radius: 0;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer {\\n  border-left: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  height: 40px;\\n  border-top: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-innerContainer {\\n  border-bottom: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  border: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.noCalendar.hasTime .flatpickr-time {\\n  height: auto;\\n}\\n.flatpickr-calendar:before,\\n.flatpickr-calendar:after {\\n  position: absolute;\\n  display: block;\\n  pointer-events: none;\\n  border: solid transparent;\\n  content: \\'\\';\\n  height: 0;\\n  width: 0;\\n  left: 22px;\\n}\\n.flatpickr-calendar.rightMost:before,\\n.flatpickr-calendar.rightMost:after {\\n  left: auto;\\n  right: 22px;\\n}\\n.flatpickr-calendar:before {\\n  border-width: 5px;\\n  margin: 0 -5px;\\n}\\n.flatpickr-calendar:after {\\n  border-width: 4px;\\n  margin: 0 -4px;\\n}\\n.flatpickr-calendar.arrowTop:before,\\n.flatpickr-calendar.arrowTop:after {\\n  bottom: 100%;\\n}\\n.flatpickr-calendar.arrowTop:before {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowTop:after {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:before,\\n.flatpickr-calendar.arrowBottom:after {\\n  top: 100%;\\n}\\n.flatpickr-calendar.arrowBottom:before {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:after {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar:focus {\\n  outline: 0;\\n}\\n.flatpickr-wrapper {\\n  position: relative;\\n  display: inline-block;\\n}\\n.flatpickr-months {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-months .flatpickr-month {\\n  border-radius: 5px 5px 0 0;\\n  background: #eceef1;\\n  color: #5a6171;\\n  fill: #5a6171;\\n  height: 34px;\\n  line-height: 1;\\n  text-align: center;\\n  position: relative;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  overflow: hidden;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\n.flatpickr-months .flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month {\\n  text-decoration: none;\\n  cursor: pointer;\\n  position: absolute;\\n  top: 0;\\n  height: 34px;\\n  padding: 10px;\\n  z-index: 3;\\n  color: #5a6171;\\n  fill: #5a6171;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-disabled,\\n.flatpickr-months .flatpickr-next-month.flatpickr-disabled {\\n  display: none;\\n}\\n.flatpickr-months .flatpickr-prev-month i,\\n.flatpickr-months .flatpickr-next-month i {\\n  position: relative;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-prev-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  left: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month.flatpickr-next-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-next-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  right: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month:hover,\\n.flatpickr-months .flatpickr-next-month:hover {\\n  color: #bbb;\\n}\\n.flatpickr-months .flatpickr-prev-month:hover svg,\\n.flatpickr-months .flatpickr-next-month:hover svg {\\n  fill: #f64747;\\n}\\n.flatpickr-months .flatpickr-prev-month svg,\\n.flatpickr-months .flatpickr-next-month svg {\\n  width: 14px;\\n  height: 14px;\\n}\\n.flatpickr-months .flatpickr-prev-month svg path,\\n.flatpickr-months .flatpickr-next-month svg path {\\n  -webkit-transition: fill 0.1s;\\n  transition: fill 0.1s;\\n  fill: inherit;\\n}\\n.numInputWrapper {\\n  position: relative;\\n  height: auto;\\n}\\n.numInputWrapper input,\\n.numInputWrapper span {\\n  display: inline-block;\\n}\\n.numInputWrapper input {\\n  width: 100%;\\n}\\n.numInputWrapper input::-ms-clear {\\n  display: none;\\n}\\n.numInputWrapper input::-webkit-outer-spin-button,\\n.numInputWrapper input::-webkit-inner-spin-button {\\n  margin: 0;\\n  -webkit-appearance: none;\\n}\\n.numInputWrapper span {\\n  position: absolute;\\n  right: 0;\\n  width: 14px;\\n  padding: 0 4px 0 2px;\\n  height: 50%;\\n  line-height: 50%;\\n  opacity: 0;\\n  cursor: pointer;\\n  border: 1px solid rgba(72, 72, 72, 0.15);\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.numInputWrapper span:hover {\\n  background: rgba(0, 0, 0, 0.1);\\n}\\n.numInputWrapper span:active {\\n  background: rgba(0, 0, 0, 0.2);\\n}\\n.numInputWrapper span:after {\\n  display: block;\\n  content: \"\";\\n  position: absolute;\\n}\\n.numInputWrapper span.arrowUp {\\n  top: 0;\\n  border-bottom: 0;\\n}\\n.numInputWrapper span.arrowUp:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-bottom: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 26%;\\n}\\n.numInputWrapper span.arrowDown {\\n  top: 50%;\\n}\\n.numInputWrapper span.arrowDown:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-top: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 40%;\\n}\\n.numInputWrapper span svg {\\n  width: inherit;\\n  height: auto;\\n}\\n.numInputWrapper span svg path {\\n  fill: rgba(90, 97, 113, 0.5);\\n}\\n.numInputWrapper:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.numInputWrapper:hover span {\\n  opacity: 1;\\n}\\n.flatpickr-current-month {\\n  font-size: 135%;\\n  line-height: inherit;\\n  font-weight: 300;\\n  color: inherit;\\n  position: absolute;\\n  width: 75%;\\n  left: 12.5%;\\n  padding: 7.48px 0 0 0;\\n  line-height: 1;\\n  height: 34px;\\n  display: inline-block;\\n  text-align: center;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n}\\n.flatpickr-current-month span.cur-month {\\n  font-family: inherit;\\n  font-weight: 700;\\n  color: inherit;\\n  display: inline-block;\\n  margin-left: 0.5ch;\\n  padding: 0;\\n}\\n.flatpickr-current-month span.cur-month:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .numInputWrapper {\\n  width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #5a6171;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: #5a6171;\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(90, 97, 113, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: #eceef1;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: #eceef1;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: #eceef1;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: #eceef1;\\n  color: #5a6171;\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n  border-left: 1px solid #eceef1;\\n  border-right: 1px solid #eceef1;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #eceef1;\\n  box-shadow: -1px 0 0 #eceef1;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #484848;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e2e2e2;\\n  border-color: #e2e2e2;\\n}\\n.flatpickr-day.today {\\n  border-color: #bbb;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #bbb;\\n  background: #bbb;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #ff5a5f;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #ff5a5f;\\n  box-shadow: -10px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n  box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(72, 72, 72, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n  box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  border-left: 1px solid #eceef1;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  background: #fff;\\n  border-bottom: 1px solid #eceef1;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  background: #fff;\\n  border-radius: 0 0 5px 5px;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #484848;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #484848;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #484848;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #484848;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eaeaea;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\nspan.flatpickr-day.selected {\\n  font-weight: bold;\\n}\\n'},\n      410: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(1).__importDefault(e(159)),r=e(411);class n extends r.AbstractRangeSliderView{}a.DateRangeSliderView=n,n.__name__=\"DateRangeSliderView\";class d extends r.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_DateRangeSlider(){this.prototype.default_view=n,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return i.default(e,t)}}a.DateRangeSlider=d,d.__name__=\"DateRangeSlider\",d.init_DateRangeSlider()},\n      411: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=i.__importStar(e(412)),r=i.__importStar(e(18)),o=e(68),n=e(9),a=e(393),d=e(413),h=e(400),_=i.__importDefault(e(414)),c=i.__importDefault(e(415));class u extends a.ControlView{*controls(){yield this.slider_el}get noUiSlider(){return this.slider_el.noUiSlider}connect_signals(){super.connect_signals();const{direction:e,orientation:t,tooltips:s}=this.model.properties;this.on_change([e,t,s],()=>this.render());const{start:i,end:l,value:r,step:o,title:n}=this.model.properties;this.on_change([i,l,r,o],()=>{const{start:e,end:t,value:s,step:i}=this._calc_to();this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i})});const{bar_color:a}=this.model.properties;this.on_change(a,()=>{this._set_bar_color()});const{show_value:d}=this.model.properties;this.on_change([r,n,d],()=>this._update_title())}styles(){return[...super.styles(),_.default,c.default]}_update_title(){o.empty(this.title_el);const e=null==this.model.title||0==this.model.title.length&&!this.model.show_value;if(this.title_el.style.display=e?\"none\":\"\",!e&&(0!=this.model.title.length&&(this.title_el.textContent=this.model.title+\": \"),this.model.show_value)){const{value:e}=this._calc_to(),t=e.map(e=>this.model.pretty(e)).join(\" .. \");this.title_el.appendChild(o.span({class:d.bk_slider_value},t))}}_set_bar_color(){if(!this.model.disabled){this.slider_el.querySelector(\".noUi-connect\").style.backgroundColor=this.model.bar_color}}_keypress_handle(e,t=0){const{start:s,value:i,end:l,step:r}=this._calc_to(),o=2==i.length;let n=s,a=l;switch(o&&0==t?a=i[1]:o&&1==t&&(n=i[0]),e.which){case 37:i[t]=Math.max(i[t]-r,n);break;case 39:i[t]=Math.min(i[t]+r,a);break;default:return}this.model.value=o?i:i[0],this.model.properties.value.change.emit(),this.model.value_throttled=this.model.value,this.noUiSlider.set(i)}render(){super.render();const{start:e,end:t,value:s,step:i}=this._calc_to();let r;if(this.model.tooltips){const e={to:e=>this.model.pretty(e)};r=n.repeat(e,s.length)}else r=!1;if(null==this.slider_el){this.slider_el=o.div(),l.create(this.slider_el,{range:{min:e,max:t},start:s,step:i,behaviour:this.model.behaviour,connect:this.model.connected,tooltips:r,orientation:this.model.orientation,direction:this.model.direction}),this.noUiSlider.on(\"slide\",(e,t,s)=>this._slide(s)),this.noUiSlider.on(\"change\",(e,t,s)=>this._change(s)),this._set_keypress_handles();const n=(e,t)=>{if(!r)return;this.slider_el.querySelectorAll(\".noUi-handle\")[e].querySelector(\".noUi-tooltip\").style.display=t?\"block\":\"\"};this.noUiSlider.on(\"start\",(e,t)=>n(t,!0)),this.noUiSlider.on(\"end\",(e,t)=>n(t,!1))}else this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i});this._set_bar_color(),this.model.disabled?this.slider_el.setAttribute(\"disabled\",\"true\"):this.slider_el.removeAttribute(\"disabled\"),this.title_el=o.div({class:d.bk_slider_title}),this._update_title(),this.group_el=o.div({class:h.bk_input_group},this.title_el,this.slider_el),this.el.appendChild(this.group_el)}_slide(e){this.model.value=this._calc_from(e)}_change(e){this.model.value=this._calc_from(e),this.model.value_throttled=this.model.value}}u.__name__=\"AbstractBaseSliderView\";class m extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:[this.model.value],step:this.model.step}}_calc_from([e]){return Number.isInteger(this.model.start)&&Number.isInteger(this.model.end)&&Number.isInteger(this.model.step)?Math.round(e):e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e))}}s.AbstractSliderView=m,m.__name__=\"AbstractSliderView\";class p extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:this.model.value,step:this.model.step}}_calc_from(e){return e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle-lower\"),t=this.slider_el.querySelector(\".noUi-handle-upper\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e,0)),t.setAttribute(\"tabindex\",\"1\"),t.addEventListener(\"keydown\",e=>this._keypress_handle(e,1))}}s.AbstractRangeSliderView=p,p.__name__=\"AbstractRangeSliderView\";class b extends a.Control{constructor(e){super(e),this.connected=!1}static init_AbstractSlider(){this.define({title:[r.String,\"\"],show_value:[r.Boolean,!0],start:[r.Any],end:[r.Any],value:[r.Any],value_throttled:[r.Any],step:[r.Number,1],format:[r.Any],direction:[r.Any,\"ltr\"],tooltips:[r.Boolean,!0],bar_color:[r.Color,\"#e6e6e6\"]})}_formatter(e,t){return\"\"+e}pretty(e){return this._formatter(e,this.format)}}s.AbstractSlider=b,b.__name__=\"AbstractSlider\",b.init_AbstractSlider()},\n      412: function _(t,e,r){\n      /*! nouislider - 14.5.0 - 5/11/2020 */\n      var n;n=function(){\"use strict\";var t=\"14.5.0\";function e(t){t.parentElement.removeChild(t)}function r(t){return null!=t}function n(t){t.preventDefault()}function i(t){return\"number\"==typeof t&&!isNaN(t)&&isFinite(t)}function o(t,e,r){r>0&&(u(t,e),setTimeout((function(){c(t,e)}),r))}function s(t){return Math.max(Math.min(t,100),0)}function a(t){return Array.isArray(t)?t:[t]}function l(t){var e=(t=String(t)).split(\".\");return e.length>1?e[1].length:0}function u(t,e){t.classList&&!/\\s/.test(e)?t.classList.add(e):t.className+=\" \"+e}function c(t,e){t.classList&&!/\\s/.test(e)?t.classList.remove(e):t.className=t.className.replace(new RegExp(\"(^|\\\\b)\"+e.split(\" \").join(\"|\")+\"(\\\\b|$)\",\"gi\"),\" \")}function p(t){var e=void 0!==window.pageXOffset,r=\"CSS1Compat\"===(t.compatMode||\"\");return{x:e?window.pageXOffset:r?t.documentElement.scrollLeft:t.body.scrollLeft,y:e?window.pageYOffset:r?t.documentElement.scrollTop:t.body.scrollTop}}function f(t,e){return 100/(e-t)}function d(t,e,r){return 100*e/(t[r+1]-t[r])}function h(t,e){for(var r=1;t>=e[r];)r+=1;return r}function m(t,e,r){if(r>=t.slice(-1)[0])return 100;var n=h(r,t),i=t[n-1],o=t[n],s=e[n-1],a=e[n];return s+function(t,e){return d(t,t[0]<0?e+Math.abs(t[0]):e-t[0],0)}([i,o],r)/f(s,a)}function g(t,e,r,n){if(100===n)return n;var i=h(n,t),o=t[i-1],s=t[i];return r?n-o>(s-o)/2?s:o:e[i-1]?t[i-1]+function(t,e){return Math.round(t/e)*e}(n-t[i-1],e[i-1]):n}function v(t,e,r){var n;if(\"number\"==typeof e&&(e=[e]),!Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'range' contains invalid value.\");if(!i(n=\"min\"===t?0:\"max\"===t?100:parseFloat(t))||!i(e[0]))throw new Error(\"noUiSlider (14.5.0): 'range' value isn't numeric.\");r.xPct.push(n),r.xVal.push(e[0]),n?r.xSteps.push(!isNaN(e[1])&&e[1]):isNaN(e[1])||(r.xSteps[0]=e[1]),r.xHighestCompleteStep.push(0)}function x(t,e,r){if(e)if(r.xVal[t]!==r.xVal[t+1]){r.xSteps[t]=d([r.xVal[t],r.xVal[t+1]],e,0)/f(r.xPct[t],r.xPct[t+1]);var n=(r.xVal[t+1]-r.xVal[t])/r.xNumSteps[t],i=Math.ceil(Number(n.toFixed(3))-1),o=r.xVal[t]+r.xNumSteps[t]*i;r.xHighestCompleteStep[t]=o}else r.xSteps[t]=r.xHighestCompleteStep[t]=r.xVal[t]}function b(t,e,r){var n;this.xPct=[],this.xVal=[],this.xSteps=[r||!1],this.xNumSteps=[!1],this.xHighestCompleteStep=[],this.snap=e;var i=[];for(n in t)t.hasOwnProperty(n)&&i.push([t[n],n]);for(i.length&&\"object\"==typeof i[0][0]?i.sort((function(t,e){return t[0][0]-e[0][0]})):i.sort((function(t,e){return t[0]-e[0]})),n=0;n<i.length;n++)v(i[n][1],i[n][0],this);for(this.xNumSteps=this.xSteps.slice(0),n=0;n<this.xNumSteps.length;n++)x(n,this.xNumSteps[n],this)}b.prototype.getDistance=function(t){var e,r=[];for(e=0;e<this.xNumSteps.length-1;e++){var n=this.xNumSteps[e];if(n&&t/n%1!=0)throw new Error(\"noUiSlider (14.5.0): 'limit', 'margin' and 'padding' of \"+this.xPct[e]+\"% range must be divisible by step.\");r[e]=d(this.xVal,t,e)}return r},b.prototype.getAbsoluteDistance=function(t,e,r){var n,i=0;if(t<this.xPct[this.xPct.length-1])for(;t>this.xPct[i+1];)i++;else t===this.xPct[this.xPct.length-1]&&(i=this.xPct.length-2);r||t!==this.xPct[i+1]||i++;var 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e=h(t,this.xPct);return{stepBefore:{startValue:this.xVal[e-2],step:this.xNumSteps[e-2],highestStep:this.xHighestCompleteStep[e-2]},thisStep:{startValue:this.xVal[e-1],step:this.xNumSteps[e-1],highestStep:this.xHighestCompleteStep[e-1]},stepAfter:{startValue:this.xVal[e],step:this.xNumSteps[e],highestStep:this.xHighestCompleteStep[e]}}},b.prototype.countStepDecimals=function(){var t=this.xNumSteps.map(l);return Math.max.apply(null,t)},b.prototype.convert=function(t){return this.getStep(this.toStepping(t))};var S={to:function(t){return void 0!==t&&t.toFixed(2)},from:Number},w={target:\"target\",base:\"base\",origin:\"origin\",handle:\"handle\",handleLower:\"handle-lower\",handleUpper:\"handle-upper\",touchArea:\"touch-area\",horizontal:\"horizontal\",vertical:\"vertical\",background:\"background\",connect:\"connect\",connects:\"connects\",ltr:\"ltr\",rtl:\"rtl\",textDirectionLtr:\"txt-dir-ltr\",textDirectionRtl:\"txt-dir-rtl\",draggable:\"draggable\",drag:\"state-drag\",tap:\"state-tap\",active:\"active\",tooltip:\"tooltip\",pips:\"pips\",pipsHorizontal:\"pips-horizontal\",pipsVertical:\"pips-vertical\",marker:\"marker\",markerHorizontal:\"marker-horizontal\",markerVertical:\"marker-vertical\",markerNormal:\"marker-normal\",markerLarge:\"marker-large\",markerSub:\"marker-sub\",value:\"value\",valueHorizontal:\"value-horizontal\",valueVertical:\"value-vertical\",valueNormal:\"value-normal\",valueLarge:\"value-large\",valueSub:\"value-sub\"};function y(t){if(function(t){return\"object\"==typeof t&&\"function\"==typeof t.to&&\"function\"==typeof t.from}(t))return!0;throw new Error(\"noUiSlider (14.5.0): 'format' requires 'to' and 'from' methods.\")}function E(t,e){if(!i(e))throw new Error(\"noUiSlider (14.5.0): 'step' is not numeric.\");t.singleStep=e}function C(t,e){if(\"object\"!=typeof e||Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'range' is not an object.\");if(void 0===e.min||void 0===e.max)throw new Error(\"noUiSlider (14.5.0): Missing 'min' or 'max' in 'range'.\");if(e.min===e.max)throw new Error(\"noUiSlider (14.5.0): 'range' 'min' and 'max' cannot be equal.\");t.spectrum=new b(e,t.snap,t.singleStep)}function N(t,e){if(e=a(e),!Array.isArray(e)||!e.length)throw new Error(\"noUiSlider (14.5.0): 'start' option is incorrect.\");t.handles=e.length,t.start=e}function P(t,e){if(t.snap=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'snap' option must be a boolean.\")}function U(t,e){if(t.animate=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'animate' 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t.to))throw new Error(\"noUiSlider (14.5.0): 'tooltips' must be passed a formatter or 'false'.\")}))}}function j(t,e){t.ariaFormat=e,y(e)}function F(t,e){t.format=e,y(e)}function R(t,e){if(t.keyboardSupport=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'keyboardSupport' option must be a boolean.\")}function T(t,e){t.documentElement=e}function B(t,e){if(\"string\"!=typeof e&&!1!==e)throw new Error(\"noUiSlider (14.5.0): 'cssPrefix' must be a string or `false`.\");t.cssPrefix=e}function q(t,e){if(\"object\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'cssClasses' must be an object.\");if(\"string\"==typeof t.cssPrefix)for(var r in t.cssClasses={},e)e.hasOwnProperty(r)&&(t.cssClasses[r]=t.cssPrefix+e[r]);else t.cssClasses=e}function X(t){var e={margin:0,limit:0,padding:0,animate:!0,animationDuration:300,ariaFormat:S,format:S},n={step:{r:!1,t:E},start:{r:!0,t:N},connect:{r:!0,t:V},direction:{r:!0,t:L},snap:{r:!1,t:P},animate:{r:!1,t:U},animationDuration:{r:!1,t:A},range:{r:!0,t:C},orientation:{r:!1,t:k},margin:{r:!1,t:D},limit:{r:!1,t:M},padding:{r:!1,t:O},behaviour:{r:!0,t:z},ariaFormat:{r:!1,t:j},format:{r:!1,t:F},tooltips:{r:!1,t:H},keyboardSupport:{r:!0,t:R},documentElement:{r:!1,t:T},cssPrefix:{r:!0,t:B},cssClasses:{r:!0,t:q}},i={connect:!1,direction:\"ltr\",behaviour:\"tap\",orientation:\"horizontal\",keyboardSupport:!0,cssPrefix:\"noUi-\",cssClasses:w};t.format&&!t.ariaFormat&&(t.ariaFormat=t.format),Object.keys(n).forEach((function(o){if(!r(t[o])&&void 0===i[o]){if(n[o].r)throw new Error(\"noUiSlider (14.5.0): '\"+o+\"' is required.\");return!0}n[o].t(e,r(t[o])?t[o]:i[o])})),e.pips=t.pips;var o=document.createElement(\"div\"),s=void 0!==o.style.msTransform,a=void 0!==o.style.transform;return e.transformRule=a?\"transform\":s?\"msTransform\":\"webkitTransform\",e.style=[[\"left\",\"top\"],[\"right\",\"bottom\"]][e.dir][e.ort],e}function _(t,r,i){var l,f,d,h,m,g,v,x,b=window.navigator.pointerEnabled?{start:\"pointerdown\",move:\"pointermove\",end:\"pointerup\"}:window.navigator.msPointerEnabled?{start:\"MSPointerDown\",move:\"MSPointerMove\",end:\"MSPointerUp\"}:{start:\"mousedown touchstart\",move:\"mousemove touchmove\",end:\"mouseup touchend\"},S=window.CSS&&CSS.supports&&CSS.supports(\"touch-action\",\"none\")&&function(){var t=!1;try{var e=Object.defineProperty({},\"passive\",{get:function(){t=!0}});window.addEventListener(\"test\",null,e)}catch(t){}return t}(),w=t,y=r.spectrum,E=[],C=[],N=[],P=0,U={},A=t.ownerDocument,V=r.documentElement||A.documentElement,k=A.body,D=\"rtl\"===A.dir||1===r.ort?0:100;function M(t,e){var r=A.createElement(\"div\");return e&&u(r,e),t.appendChild(r),r}function O(t,e){var n=M(t,r.cssClasses.origin),i=M(n,r.cssClasses.handle);return 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.noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(50%, 0);\\n  transform: translate(50%, 0);\\n  left: auto;\\n  bottom: 10px;\\n}\\n.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(0, -18px);\\n  transform: translate(0, -18px);\\n  top: auto;\\n  right: 28px;\\n}\\n.bk-root .noUi-handle {\\n  cursor: grab;\\n  cursor: -webkit-grab;\\n}\\n.bk-root .noUi-handle.noUi-active {\\n  cursor: grabbing;\\n  cursor: -webkit-grabbing;\\n}\\n.bk-root .noUi-handle:after,\\n.bk-root .noUi-handle:before {\\n  display: none;\\n}\\n.bk-root .noUi-tooltip {\\n  display: none;\\n  white-space: nowrap;\\n}\\n.bk-root .noUi-handle:hover .noUi-tooltip {\\n  display: block;\\n}\\n.bk-root .noUi-horizontal {\\n  width: 100%;\\n  height: 10px;\\n}\\n.bk-root .noUi-vertical {\\n  width: 10px;\\n  height: 100%;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n  width: 14px;\\n  height: 18px;\\n  right: -7px;\\n  top: -5px;\\n}\\n.bk-root .noUi-vertical 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n=e(1),s=e(392),o=e(291),_=e(68),d=n.__importStar(e(18)),l=e(8),r=e(146),u=e(254),c=e(255),h=n.__importDefault(e(257));class p extends s.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=_.div({class:[c.bk_caret,r.bk_down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(u.bk_dropdown_toggle),t.addEventListener(\"click\",()=>this._toggle_menu()),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map((e,t)=>{if(null==e)return _.div({class:c.bk_divider});{const i=l.isString(e)?e:e[0],n=_.div({},i);return n.addEventListener(\"click\",()=>this._item_click(t)),n}});this.menu=_.div({class:[c.bk_menu,r.bk_below]},t),this.el.appendChild(this.menu),_.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,_.display(this.menu);const e=t=>{const{target:i}=t;i instanceof 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t.clear=function(){this.element.innerHTML=\"\"},t.append=function(e){this.element.appendChild(e)},t.getChild=function(e){return this.element.querySelector(e)},t.hasChildren=function(){return this.element.hasChildNodes()},t.scrollToTop=function(){this.element.scrollTop=0},t.scrollToChildElement=function(e,t){var i=this;if(e){var n=this.element.offsetHeight,s=this.element.scrollTop+n,r=e.offsetHeight,o=e.offsetTop+r,a=t>0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),n<e&&(s=!0)):(this._scrollUp(n,4,e),n>e&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function le(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var he=function(){function e(e){var t=e.element,i=e.classNames;if(this.element=t,this.classNames=i,!(t instanceof HTMLInputElement||t instanceof HTMLSelectElement))throw new TypeError(\"Invalid element passed\");this.isDisabled=!1}var t,i,n,s=e.prototype;return s.conceal=function(){this.element.classList.add(this.classNames.input),this.element.hidden=!0,this.element.tabIndex=-1;var e=this.element.getAttribute(\"style\");e&&this.element.setAttribute(\"data-choice-orig-style\",e),this.element.setAttribute(\"data-choice\",\"active\")},s.reveal=function(){this.element.classList.remove(this.classNames.input),this.element.hidden=!1,this.element.removeAttribute(\"tabindex\");var e=this.element.getAttribute(\"data-choice-orig-style\");e?(this.element.removeAttribute(\"data-choice-orig-style\"),this.element.setAttribute(\"style\",e)):this.element.removeAttribute(\"style\"),this.element.removeAttribute(\"data-choice\"),this.element.value=this.element.value},s.enable=function(){this.element.removeAttribute(\"disabled\"),this.element.disabled=!1,this.isDisabled=!1},s.disable=function(){this.element.setAttribute(\"disabled\",\"\"),this.element.disabled=!0,this.isDisabled=!0},s.triggerEvent=function(e,t){!function(e,t,i){void 0===i&&(i=null);var n=new CustomEvent(t,{detail:i,bubbles:!0,cancelable:!0});e.dispatchEvent(n)}(this.element,e,t)},t=e,(i=[{key:\"isActive\",get:function(){return\"active\"===this.element.dataset.choice}},{key:\"dir\",get:function(){return this.element.dir}},{key:\"value\",get:function(){return this.element.value},set:function(e){this.element.value=e}}])&&le(t.prototype,i),n&&le(t,n),e}();function ue(e,t){for(var i=0;i<t.length;i++){var 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i=e.group,n=e.groupHeading,s=e.itemDisabled,r=t.id,o=t.value,a=t.disabled,c=Object.assign(document.createElement(\"div\"),{className:i+\" \"+(a?s:\"\")});return c.setAttribute(\"role\",\"group\"),Object.assign(c.dataset,{group:\"\",id:r,value:o}),a&&c.setAttribute(\"aria-disabled\",\"true\"),c.appendChild(Object.assign(document.createElement(\"div\"),{className:n,innerHTML:o})),c},choice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.itemSelectable,o=e.selectedState,a=e.itemDisabled,c=e.placeholder,l=t.id,h=t.value,u=t.label,d=t.groupId,p=t.elementId,m=t.disabled,f=t.selected,v=t.placeholder,g=Object.assign(document.createElement(\"div\"),{id:p,innerHTML:u,className:n+\" \"+s});return 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a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},ve=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ge=function(e,t){return{type:$,id:e,highlighted:t}},_e=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},be=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function ye(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var Ee=\"-ms-scroll-limit\"in document.documentElement.style&&\"-ms-ime-align\"in document.documentElement.style,Ie={},Se=function(){var e,t,i;function n(e,t){var i=this;void 0===e&&(e=\"[data-choice]\"),void 0===t&&(t={}),this.config=o.a.all([P,n.defaults.options,t],{arrayMerge:function(e,t){return[].concat(t)}});var s,r,a,c,l=(s=this.config,r=P,a=Object.keys(s).sort(),c=Object.keys(r).sort(),a.filter((function(e){return c.indexOf(e)<0})));l.length&&console.warn(\"Unknown config option(s) passed\",l.join(\", \"));var h=\"string\"==typeof e?document.querySelector(e):e;if(!(h instanceof HTMLInputElement||h instanceof HTMLSelectElement))throw TypeError(\"Expected one of the following types text|select-one|select-multiple\");if(this._isTextElement=\"text\"===h.type,this._isSelectOneElement=\"select-one\"===h.type,this._isSelectMultipleElement=\"select-multiple\"===h.type,this._isSelectElement=this._isSelectOneElement||this._isSelectMultipleElement,this.config.searchEnabled=this._isSelectMultipleElement||this.config.searchEnabled,[\"auto\",\"always\"].includes(this.config.renderSelectedChoices)||(this.config.renderSelectedChoices=\"auto\"),t.addItemFilter&&\"function\"!=typeof t.addItemFilter){var u=t.addItemFilter instanceof RegExp?t.addItemFilter:new RegExp(t.addItemFilter);this.config.addItemFilter=u.test.bind(u)}if(this._isTextElement?this.passedElement=new de({element:h,classNames:this.config.classNames,delimiter:this.config.delimiter}):this.passedElement=new me({element:h,classNames:this.config.classNames,template:function(e){return i._templates.option(e)}}),this.initialised=!1,this._store=new T,this._initialState={},this._currentState={},this._prevState={},this._currentValue=\"\",this._canSearch=this.config.searchEnabled,this._isScrollingOnIe=!1,this._highlightPosition=0,this._wasTap=!0,this._placeholderValue=this._generatePlaceholderValue(),this._baseId=function(e,t){var i=e.id||e.name&&e.name+\"-\"+b(2)||b(4);return i=t+\"-\"+(i=i.replace(/(:|\\.|\\[|\\]|,)/g,\"\"))}(this.passedElement.element,\"choices-\"),this._direction=this.passedElement.dir,!this._direction){var d=window.getComputedStyle(this.passedElement.element).direction;d!==window.getComputedStyle(document.documentElement).direction&&(this._direction=d)}if(this._idNames={itemChoice:\"item-choice\"},this._presetGroups=this.passedElement.optionGroups,this._presetOptions=this.passedElement.options,this._presetChoices=this.config.choices,this._presetItems=this.config.items,this.passedElement.value&&(this._presetItems=this._presetItems.concat(this.passedElement.value.split(this.config.delimiter))),this.passedElement.options&&this.passedElement.options.forEach((function(e){i._presetChoices.push({value:e.value,label:e.innerHTML,selected:e.selected,disabled:e.disabled||e.parentNode.disabled,placeholder:\"\"===e.value||e.hasAttribute(\"placeholder\"),customProperties:e.getAttribute(\"data-custom-properties\")})})),this._render=this._render.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this),this._onKeyUp=this._onKeyUp.bind(this),this._onKeyDown=this._onKeyDown.bind(this),this._onClick=this._onClick.bind(this),this._onTouchMove=this._onTouchMove.bind(this),this._onTouchEnd=this._onTouchEnd.bind(this),this._onMouseDown=this._onMouseDown.bind(this),this._onMouseOver=this._onMouseOver.bind(this),this._onFormReset=this._onFormReset.bind(this),this._onAKey=this._onAKey.bind(this),this._onEnterKey=this._onEnterKey.bind(this),this._onEscapeKey=this._onEscapeKey.bind(this),this._onDirectionKey=this._onDirectionKey.bind(this),this._onDeleteKey=this._onDeleteKey.bind(this),this.passedElement.isActive)return this.config.silent||console.warn(\"Trying to initialise Choices on element already initialised\"),void(this.initialised=!0);this.init()}e=n,i=[{key:\"defaults\",get:function(){return Object.preventExtensions({get options(){return Ie},get templates(){return fe}})}}],(t=null)&&ye(e.prototype,t),i&&ye(e,i);var r=n.prototype;return r.init=function(){if(!this.initialised){this._createTemplates(),this._createElements(),this._createStructure(),this._initialState=O(this._store.state),this._store.subscribe(this._render),this._render(),this._addEventListeners(),(!this.config.addItems||this.passedElement.element.hasAttribute(\"disabled\"))&&this.disable(),this.initialised=!0;var e=this.config.callbackOnInit;e&&\"function\"==typeof e&&e.call(this)}},r.destroy=function(){this.initialised&&(this._removeEventListeners(),this.passedElement.reveal(),this.containerOuter.unwrap(this.passedElement.element),this.clearStore(),this._isSelectElement&&(this.passedElement.options=this._presetOptions),this._templates=null,this.initialised=!1)},r.enable=function(){return this.passedElement.isDisabled&&this.passedElement.enable(),this.containerOuter.isDisabled&&(this._addEventListeners(),this.input.enable(),this.containerOuter.enable()),this},r.disable=function(){return this.passedElement.isDisabled||this.passedElement.disable(),this.containerOuter.isDisabled||(this._removeEventListeners(),this.input.disable(),this.containerOuter.disable()),this},r.highlightItem=function(e,t){if(void 0===t&&(t=!0),!e)return this;var i=e.id,n=e.groupId,s=void 0===n?-1:n,r=e.value,o=void 0===r?\"\":r,a=e.label,c=void 0===a?\"\":a,l=s>=0?this._store.getGroupById(s):null;return this._store.dispatch(ge(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ge(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(ve(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v<m;v+=1)f[v]&&l(f[v]);return t},r._createItemsFragment=function(e,t){var i=this;void 0===t&&(t=document.createDocumentFragment());var n=this.config,s=n.shouldSortItems,r=n.sorter,o=n.removeItemButton;return s&&!this._isSelectOneElement&&e.sort(r),this._isTextElement?this.passedElement.value=e:this.passedElement.options=e,e.forEach((function(e){var n=i._getTemplate(\"item\",e,o);t.appendChild(n)})),t},r._triggerChange=function(e){null!=e&&this.passedElement.triggerEvent(N,{value:e})},r._selectPlaceholderChoice=function(){var e=this._store.placeholderChoice;e&&(this._addItem({value:e.value,label:e.label,choiceId:e.id,groupId:e.groupId,placeholder:e.placeholder}),this._triggerChange(e.value))},r._handleButtonAction=function(e,t){if(e&&t&&this.config.removeItems&&this.config.removeItemButton){var i=t.parentNode.getAttribute(\"data-id\"),n=e.find((function(e){return e.id===parseInt(i,10)}));this._removeItem(n),this._triggerChange(n.value),this._isSelectOneElement&&this._selectPlaceholderChoice()}},r._handleItemAction=function(e,t,i){var n=this;if(void 0===i&&(i=!1),e&&t&&this.config.removeItems&&!this._isSelectOneElement){var s=t.getAttribute(\"data-id\");e.forEach((function(e){e.id!==parseInt(s,10)||e.highlighted?!i&&e.highlighted&&n.unhighlightItem(e):n.highlightItem(e)})),this.input.focus()}},r._handleChoiceAction=function(e,t){if(e&&t){var i=t.dataset.id,n=this._store.getChoiceById(i);if(n){var s=e[0]&&e[0].keyCode?e[0].keyCode:null,r=this.dropdown.isActive;n.keyCode=s,this.passedElement.triggerEvent(F,{choice:n}),n.selected||n.disabled||this._canAddItem(e,n.value).response&&(this._addItem({value:n.value,label:n.label,choiceId:n.id,groupId:n.groupId,customProperties:n.customProperties,placeholder:n.placeholder,keyCode:n.keyCode}),this._triggerChange(n.value)),this.clearInput(),r&&this._isSelectOneElement&&(this.hideDropdown(!0),this.containerOuter.focus())}}},r._handleBackspace=function(e){if(this.config.removeItems&&e){var t=e[e.length-1],i=e.some((function(e){return e.highlighted}));this.config.editItems&&!i&&t?(this.input.value=t.value,this.input.setWidth(),this._removeItem(t),this._triggerChange(t.value)):(i||this.highlightItem(t,!1),this.removeHighlightedItems(!0))}},r._startLoading=function(){this._store.dispatch(be(!0))},r._stopLoading=function(){this._store.dispatch(be(!1))},r._handleLoadingState=function(e){void 0===e&&(e=!0);var t=this.itemList.getChild(\".\"+this.config.classNames.placeholder);e?(this.disable(),this.containerOuter.addLoadingState(),this._isSelectOneElement?t?t.innerHTML=this.config.loadingText:(t=this._getTemplate(\"placeholder\",this.config.loadingText),this.itemList.append(t)):this.input.placeholder=this.config.loadingText):(this.enable(),this.containerOuter.removeLoadingState(),this._isSelectOneElement?t.innerHTML=this._placeholderValue||\"\":this.input.placeholder=this._placeholderValue||\"\")},r._handleSearch=function(e){if(e&&this.input.isFocussed){var t=this._store.choices,i=this.config,n=i.searchFloor,s=i.searchChoices,r=t.some((function(e){return!e.active}));if(e&&e.length>=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(ve(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(ve(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1;if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(\"[data-choice-selectable]\");else{var p=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=p?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(p,\"[data-choice-selectable]\",d):this.dropdown.element.querySelector(\"[data-choice-selectable]\")}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(Ee&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX<i.offsetLeft;this._isScrollingOnIe=n}if(t!==this.input.element){var s=t.closest(\"[data-button],[data-item],[data-choice]\");if(s instanceof HTMLElement){var r=e.shiftKey,o=this._store.activeItems,a=s.dataset;\"button\"in a?this._handleButtonAction(o,s):\"item\"in a?this._handleItemAction(o,s,r):\"choice\"in a&&this._handleChoiceAction(o,s)}e.preventDefault()}}},r._onMouseOver=function(e){var t=e.target;t instanceof HTMLElement&&\"choice\"in t.dataset&&this._highlightChoice(t)},r._onClick=function(e){var t=e.target;this.containerOuter.element.contains(t)?this.dropdown.isActive||this.containerOuter.isDisabled?this._isSelectOneElement&&t!==this.input.element&&!this.dropdown.element.contains(t)&&this.hideDropdown():this._isTextElement?document.activeElement!==this.input.element&&this.input.focus():(this.showDropdown(),this.containerOuter.focus()):(this._store.highlightedActiveItems.length>0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(_e({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(_e({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r<n;r++)s[r-1]=arguments[r];return(t=this._templates[e]).call.apply(t,[this,i].concat(s))},r._createTemplates=function(){var e=this.config.callbackOnCreateTemplates,t={};e&&\"function\"==typeof e&&(t=e.call(this,S)),this._templates=o()(fe,t)},r._createElements=function(){this.containerOuter=new re({element:this._getTemplate(\"containerOuter\",this._direction,this._isSelectElement,this._isSelectOneElement,this.config.searchEnabled,this.passedElement.element.type),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.containerInner=new re({element:this._getTemplate(\"containerInner\"),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.input=new ae({element:this._getTemplate(\"input\",this._placeholderValue),classNames:this.config.classNames,type:this.passedElement.element.type,preventPaste:!this.config.paste}),this.choiceList=new ce({element:this._getTemplate(\"choiceList\",this._isSelectOneElement)}),this.itemList=new ce({element:this._getTemplate(\"itemList\",this._isSelectOneElement)}),this.dropdown=new k({element:this._getTemplate(\"dropdown\"),classNames:this.config.classNames,type:this.passedElement.element.type})},r._createStructure=function(){this.passedElement.conceal(),this.containerInner.wrap(this.passedElement.element),this.containerOuter.wrap(this.containerInner.element),this._isSelectOneElement?this.input.placeholder=this.config.searchPlaceholderValue||\"\":this._placeholderValue&&(this.input.placeholder=this._placeholderValue,this.input.setWidth()),this.containerOuter.element.appendChild(this.containerInner.element),this.containerOuter.element.appendChild(this.dropdown.element),this.containerInner.element.appendChild(this.itemList.element),this._isTextElement||this.dropdown.element.appendChild(this.choiceList.element),this._isSelectOneElement?this.config.searchEnabled&&this.dropdown.element.insertBefore(this.input.element,this.dropdown.element.firstChild):this.containerInner.element.appendChild(this.input.element),this._isSelectElement&&(this._highlightPosition=0,this._isSearching=!1,this._startLoading(),this._presetGroups.length?this._addPredefinedGroups(this._presetGroups):this._addPredefinedChoices(this._presetChoices),this._stopLoading()),this._isTextElement&&this._addPredefinedItems(this._presetItems)},r._addPredefinedGroups=function(e){var t=this,i=this.passedElement.placeholderOption;i&&\"SELECT\"===i.parentNode.tagName&&this._addChoice({value:i.value,label:i.innerHTML,isSelected:i.selected,isDisabled:i.disabled,placeholder:!0}),e.forEach((function(e){return t._addGroup({group:e,id:e.id||null})}))},r._addPredefinedChoices=function(e){var t=this;this.config.shouldSort&&e.sort(this.config.sorter);var i=e.some((function(e){return e.selected})),n=e.findIndex((function(e){return void 0===e.disabled||!e.disabled}));e.forEach((function(e,s){var r=e.value,o=e.label,a=e.customProperties,c=e.placeholder;if(t._isSelectElement)if(e.choices)t._addGroup({group:e,id:e.id||null});else{var l=!(!t._isSelectOneElement||i||s!==n)||e.selected,h=e.disabled;t._addChoice({value:r,label:o,isSelected:l,isDisabled:h,customProperties:a,placeholder:c})}else t._addChoice({value:r,label:o,isSelected:e.selected,isDisabled:e.disabled,customProperties:a,placeholder:c})}))},r._addPredefinedItems=function(e){var t=this;e.forEach((function(e){\"object\"==typeof e&&e.value&&t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}),\"string\"==typeof e&&t._addItem({value:e})}))},r._setChoiceOrItem=function(e){var t=this;({object:function(){e.value&&(t._isTextElement?t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}):t._addChoice({value:e.value,label:e.label,isSelected:!0,isDisabled:!1,customProperties:e.customProperties,placeholder:e.placeholder}))},string:function(){t._isTextElement?t._addItem({value:e}):t._addChoice({value:e,label:e,isSelected:!0,isDisabled:!1})}})[y(e).toLowerCase()]()},r._findAndSelectChoiceByValue=function(e){var t=this,i=this._store.choices.find((function(i){return t.config.valueComparer(i.value,e)}));i&&!i.selected&&this._addItem({value:i.value,label:i.label,choiceId:i.id,groupId:i.groupId,customProperties:i.customProperties,placeholder:i.placeholder,keyCode:i.keyCode})},r._generatePlaceholderValue=function(){if(this._isSelectElement){var e=this.passedElement.placeholderOption;return!!e&&e.text}var t=this.config,i=t.placeholder,n=t.placeholderValue,s=this.passedElement.element.dataset;if(i){if(n)return n;if(s.placeholder)return s.placeholder}return!1},n}();t.default=Se}]).default},\"object\"==typeof i&&\"object\"==typeof t?t.exports=s():\"function\"==typeof define&&define.amd?define([],s):\"object\"==typeof i?i.Choices=s():n.Choices=s()},\n      428: function _(n,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});e.default=\"\\n.bk-root {\\n  /*===============================\\n=            Choices            =\\n===============================*/\\n  /*=====  End of Choices  ======*/\\n}\\n.bk-root .choices {\\n  position: relative;\\n  margin-bottom: 24px;\\n  font-size: 16px;\\n}\\n.bk-root .choices:focus {\\n  outline: none;\\n}\\n.bk-root .choices:last-child {\\n  margin-bottom: 0;\\n}\\n.bk-root .choices.is-disabled .choices__inner,\\n.bk-root .choices.is-disabled .choices__input {\\n  background-color: #eaeaea;\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n}\\n.bk-root .choices.is-disabled .choices__item {\\n  cursor: not-allowed;\\n}\\n.bk-root .choices [hidden] {\\n  display: none !important;\\n}\\n.bk-root .choices[data-type*='select-one'] {\\n  cursor: pointer;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__inner {\\n  padding-bottom: 7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__input {\\n  display: block;\\n  width: 100%;\\n  padding: 10px;\\n  border-bottom: 1px solid #dddddd;\\n  background-color: #ffffff;\\n  margin: 0;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDAwIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  padding: 0;\\n  background-size: 8px;\\n  position: absolute;\\n  top: 50%;\\n  right: 0;\\n  margin-top: -10px;\\n  margin-right: 25px;\\n  height: 20px;\\n  width: 20px;\\n  border-radius: 10em;\\n  opacity: 0.5;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  box-shadow: 0px 0px 0px 2px #00bcd4;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__item[data-value=''] .choices__button {\\n  display: none;\\n}\\n.bk-root .choices[data-type*='select-one']:after {\\n  content: '';\\n  height: 0;\\n  width: 0;\\n  border-style: solid;\\n  border-color: #333333 transparent transparent transparent;\\n  border-width: 5px;\\n  position: absolute;\\n  right: 11.5px;\\n  top: 50%;\\n  margin-top: -2.5px;\\n  pointer-events: none;\\n}\\n.bk-root .choices[data-type*='select-one'].is-open:after {\\n  border-color: transparent transparent #333333 transparent;\\n  margin-top: -7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl']:after {\\n  left: 11.5px;\\n  right: auto;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl'] .choices__button {\\n  right: auto;\\n  left: 0;\\n  margin-left: 25px;\\n  margin-right: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__inner,\\n.bk-root .choices[data-type*='text'] .choices__inner {\\n  cursor: text;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button,\\n.bk-root .choices[data-type*='text'] .choices__button {\\n  position: relative;\\n  display: inline-block;\\n  margin-top: 0;\\n  margin-right: -4px;\\n  margin-bottom: 0;\\n  margin-left: 8px;\\n  padding-left: 16px;\\n  border-left: 1px solid #008fa1;\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjRkZGIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  background-size: 8px;\\n  width: 8px;\\n  line-height: 1;\\n  opacity: 0.75;\\n  border-radius: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:focus,\\n.bk-root .choices[data-type*='text'] .choices__button:hover,\\n.bk-root .choices[data-type*='text'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices__inner {\\n  display: inline-block;\\n  vertical-align: top;\\n  width: 100%;\\n  background-color: #f9f9f9;\\n  padding: 7.5px 7.5px 3.75px;\\n  border: 1px solid #dddddd;\\n  border-radius: 2.5px;\\n  font-size: 14px;\\n  min-height: 44px;\\n  overflow: hidden;\\n}\\n.bk-root .is-focused .choices__inner,\\n.bk-root .is-open .choices__inner {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-open .choices__inner {\\n  border-radius: 2.5px 2.5px 0 0;\\n}\\n.bk-root .is-flipped.is-open .choices__inner {\\n  border-radius: 0 0 2.5px 2.5px;\\n}\\n.bk-root .choices__list {\\n  margin: 0;\\n  padding-left: 0;\\n  list-style: none;\\n}\\n.bk-root .choices__list--single {\\n  display: inline-block;\\n  padding: 4px 16px 4px 4px;\\n  width: 100%;\\n}\\n.bk-root [dir='rtl'] .choices__list--single {\\n  padding-right: 4px;\\n  padding-left: 16px;\\n}\\n.bk-root .choices__list--single .choices__item {\\n  width: 100%;\\n}\\n.bk-root .choices__list--multiple {\\n  display: inline;\\n}\\n.bk-root .choices__list--multiple .choices__item {\\n  display: inline-block;\\n  vertical-align: middle;\\n  border-radius: 20px;\\n  padding: 4px 10px;\\n  font-size: 12px;\\n  font-weight: 500;\\n  margin-right: 3.75px;\\n  margin-bottom: 3.75px;\\n  background-color: #00bcd4;\\n  border: 1px solid #00a5bb;\\n  color: #ffffff;\\n  word-break: break-all;\\n  box-sizing: border-box;\\n}\\n.bk-root .choices__list--multiple .choices__item[data-deletable] {\\n  padding-right: 5px;\\n}\\n.bk-root [dir='rtl'] .choices__list--multiple .choices__item {\\n  margin-right: 0;\\n  margin-left: 3.75px;\\n}\\n.bk-root .choices__list--multiple .choices__item.is-highlighted {\\n  background-color: #00a5bb;\\n  border: 1px solid #008fa1;\\n}\\n.bk-root .is-disabled .choices__list--multiple .choices__item {\\n  background-color: #aaaaaa;\\n  border: 1px solid #919191;\\n}\\n.bk-root .choices__list--dropdown {\\n  visibility: hidden;\\n  z-index: 1;\\n  position: absolute;\\n  width: 100%;\\n  background-color: #ffffff;\\n  border: 1px solid #dddddd;\\n  top: 100%;\\n  margin-top: -1px;\\n  border-bottom-left-radius: 2.5px;\\n  border-bottom-right-radius: 2.5px;\\n  overflow: hidden;\\n  word-break: break-all;\\n  will-change: visibility;\\n}\\n.bk-root .choices__list--dropdown.is-active {\\n  visibility: visible;\\n}\\n.bk-root .is-open .choices__list--dropdown {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-flipped .choices__list--dropdown {\\n  top: auto;\\n  bottom: 100%;\\n  margin-top: 0;\\n  margin-bottom: -1px;\\n  border-radius: 0.25rem 0.25rem 0 0;\\n}\\n.bk-root .choices__list--dropdown .choices__list {\\n  position: relative;\\n  max-height: 300px;\\n  overflow: auto;\\n  -webkit-overflow-scrolling: touch;\\n  will-change: scroll-position;\\n}\\n.bk-root .choices__list--dropdown .choices__item {\\n  position: relative;\\n  padding: 10px;\\n  font-size: 14px;\\n}\\n.bk-root [dir='rtl'] .choices__list--dropdown .choices__item {\\n  text-align: right;\\n}\\n@media (min-width: 640px) {\\n  .bk-root .choices__list--dropdown .choices__item--selectable {\\n    padding-right: 100px;\\n  }\\n  .bk-root .choices__list--dropdown .choices__item--selectable:after {\\n    content: attr(data-select-text);\\n    font-size: 12px;\\n    opacity: 0;\\n    position: absolute;\\n    right: 10px;\\n    top: 50%;\\n    transform: translateY(-50%);\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable {\\n    text-align: right;\\n    padding-left: 100px;\\n    padding-right: 10px;\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable:after {\\n    right: auto;\\n    left: 10px;\\n  }\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted:after {\\n  opacity: 0.5;\\n}\\n.bk-root .choices__item {\\n  cursor: default;\\n}\\n.bk-root .choices__item--selectable {\\n  cursor: pointer;\\n}\\n.bk-root .choices__item--disabled {\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  opacity: 0.5;\\n}\\n.bk-root .choices__heading {\\n  font-weight: 600;\\n  font-size: 12px;\\n  padding: 10px;\\n  border-bottom: 1px solid #f7f7f7;\\n  color: gray;\\n}\\n.bk-root .choices__button {\\n  text-indent: -9999px;\\n  -webkit-appearance: none;\\n  -moz-appearance: none;\\n  appearance: none;\\n  border: 0;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center;\\n  cursor: pointer;\\n}\\n.bk-root .choices__button:focus {\\n  outline: none;\\n}\\n.bk-root .choices__input {\\n  display: inline-block;\\n  vertical-align: baseline;\\n  background-color: #f9f9f9;\\n  font-size: 14px;\\n  margin-bottom: 5px;\\n  border: 0;\\n  border-radius: 0;\\n  max-width: 100%;\\n  padding: 4px 0 4px 2px;\\n}\\n.bk-root .choices__input:focus {\\n  outline: 0;\\n}\\n.bk-root [dir='rtl'] .choices__input {\\n  padding-right: 2px;\\n  padding-left: 0;\\n}\\n.bk-root .choices__placeholder {\\n  opacity: 0.5;\\n}\\n.bk-root .choices {\\n  width: 100%;\\n}\\n.bk-root .choices__inner .choices__item.light {\\n  background-color: rgba(0, 126, 255, 0.08);\\n  border-radius: 5px;\\n  border: 1px solid rgba(0, 126, 255, 0.24);\\n  color: #007eff;\\n}\\n.bk-root .choices__inner .choices__item.solid {\\n  background-color: #1f77b4;\\n  border: none;\\n  border-radius: 5px;\\n  color: white;\\n}\\n.bk-root .choices__inner .choices__item.solid .is-highlighted {\\n  background-color: #1f77b4;\\n  border: none;\\n}\\n.bk-root .choices__input {\\n  background-color: transparent;\\n}\\n.bk-root .choices__inner {\\n  background: transparent;\\n  border: 1px solid darkgray;\\n  border-radius: 5px;\\n  min-height: unset;\\n}\\n.bk-root .choices__list {\\n  white-space: initial;\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.light {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDA3ZWZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.solid {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjZmZmZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  border-left: 1px solid white;\\n  opacity: 1;\\n}\\n\"},\n      429: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=e(418),i=e(68);class n extends s.MarkupView{render(){super.render();const e=i.pre({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=n,n.__name__=\"PreTextView\";class _ extends s.Markup{constructor(e){super(e)}static init_PreText(){this.prototype.default_view=n}}r.PreText=_,_.__name__=\"PreText\",_.init_PreText()},\n      430: function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(403),n=t(68),u=i.__importStar(t(18)),s=t(146);class _ extends a.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach((o,e)=>{n.classes(o).toggle(s.bk_active,t===e)})}}e.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class c extends a.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define({active:[u.Any,null]})}}e.RadioButtonGroup=c,c.__name__=\"RadioButtonGroup\",c.init_RadioButtonGroup()},\n      431: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),a=e(68),s=e(24),o=n.__importStar(e(18)),d=e(405),l=e(146),p=e(400);class r extends d.InputGroupView{render(){super.render();const e=a.div({class:[p.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const i=s.uniqueId(),{active:t,labels:n}=this.model;this._inputs=[];for(let s=0;s<n.length;s++){const o=a.input({type:\"radio\",name:i,value:\"\"+s});o.addEventListener(\"change\",()=>this.change_active(s)),this._inputs.push(o),this.model.disabled&&(o.disabled=!0),s==t&&(o.checked=!0);const d=a.label({},o,a.span({},n[s]));e.appendChild(d)}}change_active(e){this.model.active=e}}t.RadioGroupView=r,r.__name__=\"RadioGroupView\";class u extends d.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=r,this.define({active:[o.Number],labels:[o.Array,[]],inline:[o.Boolean,!1]})}}t.RadioGroup=u,u.__name__=\"RadioGroup\",u.init_RadioGroup()},\n      432: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),a=e(411),n=e(8);class o extends a.AbstractRangeSliderView{}r.RangeSliderView=o,o.__name__=\"RangeSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(e,t){return n.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.RangeSlider=s,s.__name__=\"RangeSlider\",s.init_RangeSlider()},\n      433: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(68),l=e(8),o=e(17),p=n.__importStar(e(18)),u=e(398),a=e(400);class _ extends u.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,()=>{this._update_value()}),this.on_change(t,()=>{s.empty(this.input_el),s.append(this.input_el,...this.options_el())})}options_el(){function e(e){return e.map(e=>{let t,i;return l.isString(e)?t=i=e:[t,i]=e,s.option({value:t},i)})}const{options:t}=this.model;return l.isArray(t)?e(t):o.entries(t).map(([t,i])=>s.optgroup({label:t},e(i)))}render(){super.render(),this.input_el=s.select({class:a.bk_input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;null!=e&&0!=e.length&&(this.input_el.value=this.model.value)}}i.SelectView=_,_.__name__=\"SelectView\";class h extends u.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=_,this.define({value:[p.String,\"\"],options:[p.Any,[]]})}}i.Select=h,h.__name__=\"Select\",h.init_Select()},\n      434: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),o=e(411),s=e(8);class _ extends o.AbstractSliderView{}r.SliderView=_,_.__name__=\"SliderView\";class a extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=_,this.override({format:\"0[.]00\"})}_formatter(e,t){return s.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.Slider=a,a.__name__=\"Slider\",a.init_Slider()},\n      435: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),h=n.__importStar(e(18)),o=e(400),{floor:p,max:d,min:u}=Math;function r(e){return p(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.low.change,()=>{const{low:e}=this.model;null!=e&&(this.input_el.min=e.toFixed(16))}),this.connect(this.model.properties.high.change,()=>{const{high:e}=this.model;null!=e&&(this.input_el.max=e.toFixed(16))}),this.connect(this.model.properties.step.change,()=>{const{step:e}=this.model;this.input_el.step=e.toFixed(16)}),this.connect(this.model.properties.value.change,()=>{const{value:e,step:t}=this.model;this.input_el.value=e.toFixed(r(t)).replace(/(\\.[0-9]*[1-9])0+$|\\.0*$/,\"$1\")}),this.connect(this.model.properties.disabled.change,()=>{this.input_el.disabled=this.model.disabled})}render(){super.render(),this.input_el=l.input({type:\"number\",class:o.bk_input,name:this.model.name,min:this.model.low,max:this.model.high,value:this.model.value,step:this.model.step,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){if(this.input_el.value){const{step:e}=this.model;let t=Number(this.input_el.value);null!=this.model.low&&(t=d(t,this.model.low)),null!=this.model.high&&(t=u(t,this.model.high)),this.model.value=Number(t.toFixed(r(e))),super.change_input()}}}i.SpinnerView=a,a.__name__=\"SpinnerView\";class c extends s.InputWidget{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=a,this.define({value:[h.Number,0],low:[h.Number,null],high:[h.Number,null],step:[h.Number,1]})}}i.Spinner=c,c.__name__=\"Spinner\",c.init_Spinner()},\n      436: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(398),l=e(68),h=s.__importStar(e(18)),o=e(400);class a extends n.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder),this.connect(this.model.properties.rows.change,()=>this.input_el.rows=this.model.rows),this.connect(this.model.properties.cols.change,()=>this.input_el.cols=this.model.cols),this.connect(this.model.properties.max_length.change,()=>this.input_el.maxLength=this.model.max_length)}render(){super.render(),this.input_el=l.textarea({class:o.bk_input,name:this.model.name,disabled:this.model.disabled,placeholder:this.model.placeholder,cols:this.model.cols,rows:this.model.rows,maxLength:this.model.max_length}),this.input_el.textContent=this.model.value,this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}}i.TextAreaInputView=a,a.__name__=\"TextAreaInputView\";class p extends n.InputWidget{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=a,this.define({value:[h.String,\"\"],value_input:[h.String,\"\"],placeholder:[h.String,\"\"],cols:[h.Number,20],rows:[h.Number,2],max_length:[h.Number,500]})}}i.TextAreaInput=p,p.__name__=\"TextAreaInput\",p.init_TextAreaInput()},\n      437: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),c=e(392),o=e(68),a=s.__importStar(e(18)),n=e(146);class l extends c.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._update_active())}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){o.classes(this.button_el).toggle(n.bk_active,this.model.active)}}i.ToggleView=l,l.__name__=\"ToggleView\";class _ extends c.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=l,this.define({active:[a.Boolean,!1]}),this.override({label:\"Toggle\"})}}i.Toggle=_,_.__name__=\"Toggle\",_.init_Toggle()},\n      }, 390, {\"models/widgets/main\":390,\"models/widgets/index\":391,\"models/widgets/abstract_button\":392,\"models/widgets/control\":393,\"models/widgets/widget\":458,\"models/widgets/abstract_icon\":395,\"models/widgets/autocomplete_input\":396,\"models/widgets/text_input\":397,\"models/widgets/input_widget\":398,\"styles/widgets/inputs.css\":399,\"styles/widgets/inputs\":400,\"models/widgets/button\":401,\"models/widgets/checkbox_button_group\":402,\"models/widgets/button_group\":403,\"models/widgets/checkbox_group\":404,\"models/widgets/input_group\":405,\"models/widgets/color_picker\":406,\"models/widgets/date_picker\":407,\"styles/widgets/flatpickr.css\":409,\"models/widgets/date_range_slider\":410,\"models/widgets/abstract_slider\":411,\"styles/widgets/sliders\":413,\"styles/widgets/nouislider.css\":414,\"styles/widgets/sliders.css\":415,\"models/widgets/date_slider\":416,\"models/widgets/div\":417,\"models/widgets/markup\":418,\"styles/clearfix\":419,\"styles/clearfix.css\":420,\"models/widgets/dropdown\":421,\"models/widgets/file_input\":422,\"models/widgets/multiselect\":423,\"models/widgets/paragraph\":424,\"models/widgets/password_input\":425,\"models/widgets/multichoice\":426,\"styles/widgets/choices.css\":428,\"models/widgets/pretext\":429,\"models/widgets/radio_button_group\":430,\"models/widgets/radio_group\":431,\"models/widgets/range_slider\":432,\"models/widgets/selectbox\":433,\"models/widgets/slider\":434,\"models/widgets/spinner\":435,\"models/widgets/textarea_input\":436,\"models/widgets/toggle\":437}, {});\n      })\n\n\n      /* END bokeh-widgets.min.js */\n    },\n    \n    function(Bokeh) {\n      /* BEGIN bokeh-tables.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], \"2.1.1\");\n      })(this, function(Bokeh, version) {\n        var define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      438: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(439));o.Tables=r,e(7).register_models(r)},\n      439: function _(a,g,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(1);e.__exportStar(a(440),r),e.__exportStar(a(462),r);var t=a(441);r.DataTable=t.DataTable;var o=a(465);r.TableColumn=o.TableColumn;var n=a(457);r.TableWidget=n.TableWidget;var u=a(466);r.AvgAggregator=u.AvgAggregator,r.MinAggregator=u.MinAggregator,r.MaxAggregator=u.MaxAggregator,r.SumAggregator=u.SumAggregator;var l=a(467);r.GroupingInfo=l.GroupingInfo,r.DataCube=l.DataCube},\n      440: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1).__importStar(e(18)),r=e(68),a=e(66),n=e(71),l=e(441),u=e(459);class d extends a.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(u.bk_cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",e=>{switch(e.keyCode){case r.Keys.Left:case r.Keys.Right:case r.Keys.Up:case r.Keys.Down:case r.Keys.PageUp:case r.Keys.PageDown:e.stopImmediatePropagation()}})}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[l.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=d,d.__name__=\"CellEditorView\";class o extends n.Model{}i.CellEditor=o,o.__name__=\"CellEditor\";class _ extends d{get emptyValue(){return\"\"}_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=_,_.__name__=\"StringEditorView\";class c extends o{static init_StringEditor(){this.prototype.default_view=_,this.define({completions:[s.Array,[]]})}}i.StringEditor=c,c.__name__=\"StringEditor\",c.init_StringEditor();class p extends d{_createInput(){return r.textarea()}}i.TextEditorView=p,p.__name__=\"TextEditorView\";class h extends o{static init_TextEditor(){this.prototype.default_view=p}}i.TextEditor=h,h.__name__=\"TextEditor\",h.init_TextEditor();class E extends d{_createInput(){return r.select()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild(r.option({value:e},e));this.focus()}}i.SelectEditorView=E,E.__name__=\"SelectEditorView\";class V extends o{static init_SelectEditor(){this.prototype.default_view=E,this.define({options:[s.Array,[]]})}}i.SelectEditor=V,V.__name__=\"SelectEditor\",V.init_SelectEditor();class m extends d{_createInput(){return r.input({type:\"text\"})}}i.PercentEditorView=m,m.__name__=\"PercentEditorView\";class f extends o{static init_PercentEditor(){this.prototype.default_view=m}}i.PercentEditor=f,f.__name__=\"PercentEditor\",f.init_PercentEditor();class x extends d{_createInput(){return r.input({type:\"checkbox\",value:\"true\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=x,x.__name__=\"CheckboxEditorView\";class w extends o{static init_CheckboxEditor(){this.prototype.default_view=x}}i.CheckboxEditor=w,w.__name__=\"CheckboxEditor\",w.init_CheckboxEditor();class g extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseInt(this.getValue(),10)||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=g,g.__name__=\"IntEditorView\";class v extends o{static init_IntEditor(){this.prototype.default_view=g,this.define({step:[s.Number,1]})}}i.IntEditor=v,v.__name__=\"IntEditor\",v.init_IntEditor();class y extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseFloat(this.getValue())||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=y,y.__name__=\"NumberEditorView\";class b extends o{static init_NumberEditor(){this.prototype.default_view=y,this.define({step:[s.Number,.01]})}}i.NumberEditor=b,b.__name__=\"NumberEditor\",b.init_NumberEditor();class I extends d{_createInput(){return r.input({type:\"text\"})}}i.TimeEditorView=I,I.__name__=\"TimeEditorView\";class N extends o{static init_TimeEditor(){this.prototype.default_view=I}}i.TimeEditor=N,N.__name__=\"TimeEditor\",N.init_TimeEditor();class C extends d{_createInput(){return r.input({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=C,C.__name__=\"DateEditorView\";class D extends o{static init_DateEditor(){this.prototype.default_view=C}}i.DateEditor=D,D.__name__=\"DateEditor\",D.init_DateEditor()},\n      441: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),o=e(442),n=e(446),l=e(447),r=e(448),d=s.__importStar(e(18)),a=e(24),h=e(8),c=e(9),u=e(17),_=e(72),m=e(188),g=e(457),p=e(458),b=e(459),f=s.__importDefault(e(460)),w=s.__importDefault(e(461));i.DTINDEX_NAME=\"__bkdt_internal_index__\";class x{constructor(e,t){this.init(e,t)}init(e,t){if(i.DTINDEX_NAME in e.data)throw new Error(`special name ${i.DTINDEX_NAME} cannot be used as a data table column`);this.source=e,this.view=t,this.index=this.view.indices}getLength(){return this.index.length}getItem(e){const t={};for(const i of u.keys(this.source.data))t[i]=this.source.data[i][this.index[e]];return t[i.DTINDEX_NAME]=this.index[e],t}getField(e,t){return t==i.DTINDEX_NAME?this.index[e]:this.source.data[t][this.index[e]]}setField(e,t,i){const s=this.index[e];this.source.patch({[t]:[[s,i]]})}getItemMetadata(e){return null}getRecords(){return c.range(0,this.getLength()).map(e=>this.getItem(e))}sort(e){let t=e.map(e=>[e.sortCol.field,e.sortAsc?1:-1]);0==t.length&&(t=[[i.DTINDEX_NAME,1]]);const s=this.getRecords(),o=this.index.slice();this.index.sort((function(e,i){for(const[n,l]of t){const t=s[o.indexOf(e)][n],r=s[o.indexOf(i)][n],d=t==r?0:t>r?l:-l;if(0!=d)return d}return 0}))}}i.TableDataProvider=x,x.__name__=\"TableDataProvider\";class C extends p.WidgetView{constructor(){super(...arguments),this._in_selection_update=!1,this._warned_not_reorderable=!1}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.source.streaming,()=>this.updateGrid()),this.connect(this.model.source.patching,()=>this.updateGrid()),this.connect(this.model.source.change,()=>this.updateGrid()),this.connect(this.model.source.properties.data.change,()=>this.updateGrid()),this.connect(this.model.source.selected.change,()=>this.updateSelection()),this.connect(this.model.source.selected.properties.indices.change,()=>this.updateSelection())}remove(){var e;null===(e=this.grid)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),f.default,w.default]}_update_layout(){this.layout=new m.LayoutItem,this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.grid.resizeCanvas()}updateGrid(){if(this.model.view.compute_indices(),this.data.init(this.model.source,this.model.view),this.model.sortable){const e=this.grid.getColumns(),t=this.grid.getSortColumns().map(t=>({sortCol:{field:e[this.grid.getColumnIndex(t.columnId)].field},sortAsc:t.sortAsc}));this.data.sort(t)}this.grid.invalidate(),this.grid.render()}updateSelection(){if(this._in_selection_update)return;const{selected:e}=this.model.source,t=e.indices.map(e=>this.data.index.indexOf(e)).sort();this._in_selection_update=!0,this.grid.setSelectedRows(t),this._in_selection_update=!1;const i=this.grid.getViewport(),s=this.model.get_scroll_index(i,t);null!=s&&this.grid.scrollRowToTop(s)}newIndexColumn(){return{id:a.uniqueId(),name:this.model.index_header,field:i.DTINDEX_NAME,width:this.model.index_width,behavior:\"select\",cannotTriggerInsert:!0,resizable:!1,selectable:!1,sortable:!0,cssClass:b.bk_cell_index,headerCssClass:b.bk_header_index}}css_classes(){return super.css_classes().concat(b.bk_data_table)}render(){let e,t=this.model.columns.map(e=>Object.assign(Object.assign({},e.toColumn()),{parent:this}));if(\"checkbox\"==this.model.selectable&&(e=new n.CheckboxSelectColumn({cssClass:b.bk_cell_select}),t.unshift(e.getColumnDefinition())),null!=this.model.index_position){const e=this.model.index_position,i=this.newIndexColumn();-1==e?t.push(i):e<-1?t.splice(e+1,0,i):t.splice(e,0,i)}let{reorderable:i}=this.model;!i||\"undefined\"!=typeof $&&null!=$.fn&&null!=$.fn.sortable||(this._warned_not_reorderable||(_.logger.warn(\"jquery-ui is required to enable DataTable.reorderable\"),this._warned_not_reorderable=!0),i=!1);const s={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:i,forceFitColumns:this.model.fit_columns,multiColumnSort:this.model.sortable,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height};if(this.data=new x(this.model.source,this.model.view),this.grid=new r.Grid(this.el,this.data,t,s),this.grid.onSort.subscribe((e,i)=>{this.model.sortable&&(t=i.sortCols,this.data.sort(t),this.grid.invalidate(),this.updateSelection(),this.grid.render(),this.model.header_row||this._hide_header(),this.model.update_sort_columns(t))}),!1!==this.model.selectable){this.grid.setSelectionModel(new o.RowSelectionModel({selectActiveRow:null==e})),null!=e&&this.grid.registerPlugin(e);const t={dataItemColumnValueExtractor(e,t){let i=e[t.field];return h.isString(i)&&(i=i.replace(/\\n/g,\"\\\\n\")),i},includeHeaderWhenCopying:!1};this.grid.registerPlugin(new l.CellExternalCopyManager(t)),this.grid.onSelectedRowsChanged.subscribe((e,t)=>{this._in_selection_update||(this.model.source.selected.indices=t.rows.map(e=>this.data.index[e]))}),this.updateSelection(),this.model.header_row||this._hide_header()}}_hide_header(){for(const e of Array.from(this.el.querySelectorAll(\".slick-header-columns\")))e.style.height=\"0px\";this.grid.resizeCanvas()}}i.DataTableView=C,C.__name__=\"DataTableView\";class D extends g.TableWidget{constructor(e){super(e),this._sort_columns=[]}get sort_columns(){return this._sort_columns}static init_DataTable(){this.prototype.default_view=C,this.define({columns:[d.Array,[]],fit_columns:[d.Boolean,!0],sortable:[d.Boolean,!0],reorderable:[d.Boolean,!0],editable:[d.Boolean,!1],selectable:[d.Any,!0],index_position:[d.Int,0],index_header:[d.String,\"#\"],index_width:[d.Int,40],scroll_to_selection:[d.Boolean,!0],header_row:[d.Boolean,!0],row_height:[d.Int,25]}),this.override({width:600,height:400})}update_sort_columns(e){return this._sort_columns=e.map(e=>({field:e.sortCol.field,sortAsc:e.sortAsc})),null}get_scroll_index(e,t){return this.scroll_to_selection&&0!=t.length?c.some(t,t=>e.top<=t&&t<=e.bottom)?null:Math.max(0,Math.min(...t)-1):null}}i.DataTable=D,D.__name__=\"DataTable\",D.init_DataTable()},\n      442: function _(e,t,n){var o=e(443),r=e(445);t.exports={RowSelectionModel:function(e){var t,n,l,i=[],c=this,u=new r.EventHandler,s={selectActiveRow:!0};function a(e){return function(){n||(n=!0,e.apply(this,arguments),n=!1)}}function f(e){for(var t=[],n=0;n<e.length;n++)for(var o=e[n].fromRow;o<=e[n].toRow;o++)t.push(o);return t}function h(e){for(var n=[],o=t.getColumns().length-1,l=0;l<e.length;l++)n.push(new r.Range(e[l],0,e[l],o));return n}function w(){return f(i)}function g(e){(i&&0!==i.length||e&&0!==e.length)&&(i=e,c.onSelectedRangesChanged.notify(i))}function v(e,n){l.selectActiveRow&&null!=n.row&&g([new r.Range(n.row,0,n.row,t.getColumns().length-1)])}function p(e){var n=t.getActiveCell();if(t.getOptions().multiSelect&&n&&e.shiftKey&&!e.ctrlKey&&!e.altKey&&!e.metaKey&&(e.which==r.keyCode.UP||e.which==r.keyCode.DOWN)){var o=w();o.sort((function(e,t){return e-t})),o.length||(o=[n.row]);var l,i=o[0],c=o[o.length-1];if((l=e.which==r.keyCode.DOWN?n.row<c||i==c?++c:++i:n.row<c?--c:--i)>=0&&l<t.getDataLength())t.scrollRowIntoView(l),g(h(function(e,t){var n,o=[];for(n=e;n<=t;n++)o.push(n);for(n=t;n<e;n++)o.push(n);return o}(i,c)));e.preventDefault(),e.stopPropagation()}}function y(e){var n=t.getCellFromEvent(e);if(!n||!t.canCellBeActive(n.row,n.cell))return!1;if(!t.getOptions().multiSelect||!e.ctrlKey&&!e.shiftKey&&!e.metaKey)return!1;var r=f(i),l=o.inArray(n.row,r);if(-1===l&&(e.ctrlKey||e.metaKey))r.push(n.row),t.setActiveCell(n.row,n.cell);else if(-1!==l&&(e.ctrlKey||e.metaKey))r=o.grep(r,(function(e,t){return e!==n.row})),t.setActiveCell(n.row,n.cell);else if(r.length&&e.shiftKey){var c=r.pop(),u=Math.min(n.row,c),s=Math.max(n.row,c);r=[];for(var a=u;a<=s;a++)a!==c&&r.push(a);r.push(c),t.setActiveCell(n.row,n.cell)}return g(h(r)),e.stopImmediatePropagation(),!0}o.extend(this,{getSelectedRows:w,setSelectedRows:function(e){g(h(e))},getSelectedRanges:function(){return i},setSelectedRanges:g,init:function(n){l=o.extend(!0,{},s,e),t=n,u.subscribe(t.onActiveCellChanged,a(v)),u.subscribe(t.onKeyDown,a(p)),u.subscribe(t.onClick,a(y))},destroy:function(){u.unsubscribeAll()},onSelectedRangesChanged:new r.Event})}}},\n      443: function _(e,n,f){n.exports=\"undefined\"!=typeof $?$:e(444)},\n      444: function _(e,t,n){\n      /*!\n           * jQuery JavaScript Library v3.5.0\n           * https://jquery.com/\n           *\n           * Includes Sizzle.js\n           * https://sizzlejs.com/\n           *\n           * Copyright JS Foundation and other contributors\n           * Released under the MIT license\n           * https://jquery.org/license\n           *\n           * Date: 2020-04-10T15:07Z\n           */\n      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e=t.getColumns(),o=0;o<e.length;o++)e[o].id==d.columnId&&(m=o)}return m}()),t.focus()}function b(e,o){if(o.column.id==d.columnId&&l(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();if(l(e.target).is(\":checked\")){for(var c=[],n=0;n<t.getDataLength();n++)c.push(n);t.setSelectedRows(c)}else t.setSelectedRows([]);e.stopPropagation(),e.stopImmediatePropagation()}}var m=null;function g(){return Math.round(1e7*Math.random())}function k(e,t,o,l,c){var n=g()+e;return c?i[e]?\"<input id='selector\"+n+\"' type='checkbox' checked='checked'><label for='selector\"+n+\"'></label>\":\"<input id='selector\"+n+\"' type='checkbox'><label for='selector\"+n+\"'></label>\":null}l.extend(this,{init:function(e){t=e,n.subscribe(t.onSelectedRowsChanged,u).subscribe(t.onClick,f).subscribe(t.onKeyDown,h),d.hideInFilterHeaderRow||function(e){e.onHeaderRowCellRendered.subscribe((function(e,t){\"sel\"===t.column.field&&(l(t.node).empty(),l(\"<span id='filter-checkbox-selectall-container'><input id='header-filter-selector\"+o+\"' type='checkbox'><label for='header-filter-selector\"+o+\"'></label></span>\").appendTo(t.node).on(\"click\",(function(e){b(e,t)})))}))}(e),d.hideInColumnTitleRow||n.subscribe(t.onHeaderClick,b)},destroy:function(){n.unsubscribeAll()},deSelectRows:function(e){var o,c=e.length,n=[];for(o=0;o<c;o++)i[e[o]]&&(n[n.length]=e[o]);t.setSelectedRows(l.grep(t.getSelectedRows(),(function(e){return n.indexOf(e)<0})))},selectRows:function(e){var o,l=e.length,c=[];for(o=0;o<l;o++)i[e[o]]||(c[c.length]=e[o]);t.setSelectedRows(t.getSelectedRows().concat(c))},getColumnDefinition:function(){return{id:d.columnId,name:d.hideSelectAllCheckbox||d.hideInColumnTitleRow?\"\":\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",toolTip:d.toolTip,field:\"sel\",width:d.width,resizable:!1,sortable:!1,cssClass:d.cssClass,hideSelectAllCheckbox:d.hideSelectAllCheckbox,formatter:k}},getOptions:function(){return d},setOptions:function(e){if((d=l.extend(!0,{},d,e)).hideSelectAllCheckbox)a(),s();else if(d.hideInColumnTitleRow?a():(r?t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox' checked='checked'><label for='header-selector\"+o+\"'></label>\",d.toolTip):t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",d.toolTip),n.subscribe(t.onHeaderClick,b)),d.hideInFilterHeaderRow)s();else{var c=l(\"#filter-checkbox-selectall-container\");c.show(),c.find('input[type=\"checkbox\"]').prop(\"checked\",r)}}})}}},\n      447: function _(e,t,o){var l=e(443),n=e(445),a=n.keyCode;t.exports={CellExternalCopyManager:function(e){var t,o,r=this,i=e||{},s=i.copiedCellStyleLayerKey||\"copy-manager\",u=i.copiedCellStyle||\"copied\",c=0,d=i.bodyElement||document.body,f=i.onCopyInit||null,h=i.onCopySuccess||null;function C(e){if(i.headerColumnValueExtractor){var t=i.headerColumnValueExtractor(e);if(t)return t}return e.name}function m(e,o,n){if(i.dataItemColumnValueExtractor){var a=i.dataItemColumnValueExtractor(e,o);if(a)return a}var r=\"\";if(o.editor){var s={container:l(\"<p>\"),column:o,position:{top:0,left:0},grid:t,event:n},u=new o.editor(s);u.loadValue(e),r=u.serializeValue(),u.destroy()}else r=e[o.field];return r}function g(e,o,n){if(i.dataItemColumnValueSetter)return i.dataItemColumnValueSetter(e,o,n);if(o.editor){var a={container:l(\"body\"),column:o,position:{top:0,left:0},grid:t},r=new o.editor(a);r.loadValue(e),r.applyValue(e,n),r.destroy()}else e[o.field]=n}function p(e){var t=document.createElement(\"textarea\");return t.style.position=\"absolute\",t.style.left=\"-1000px\",t.style.top=document.body.scrollTop+\"px\",t.value=e,d.appendChild(t),t.select(),t}function y(e,l){var n;if(!t.getEditorLock().isActive()||t.getOptions().autoEdit){if(e.which==a.ESC&&o&&(e.preventDefault(),w(),r.onCopyCancelled.notify({ranges:o}),o=null),(e.which===a.C||e.which===a.INSERT)&&(e.ctrlKey||e.metaKey)&&!e.shiftKey&&(f&&f.call(),0!=(n=t.getSelectionModel().getSelectedRanges()).length)){o=n,v(n),r.onCopyCells.notify({ranges:n});for(var s=t.getColumns(),u=\"\",c=0;c<n.length;c++){for(var y=n[c],D=[],S=y.fromRow;S<y.toRow+1;S++){var R=[],x=t.getDataItem(S);if(\"\"==D&&i.includeHeaderWhenCopying){for(var V=[],E=y.fromCell;E<y.toCell+1;E++)s[E].name.length>0&&V.push(C(s[E]));D.push(V.join(\"\\t\"))}for(E=y.fromCell;E<y.toCell+1;E++)R.push(m(x,s[E],e));D.push(R.join(\"\\t\"))}u+=D.join(\"\\r\\n\")+\"\\r\\n\"}if(window.clipboardData)return window.clipboardData.setData(\"Text\",u),!0;var b=document.activeElement;if((M=p(u)).focus(),setTimeout((function(){d.removeChild(M),b?b.focus():console.log(\"Not element to restore focus to after copy?\")}),100),h){var I=0;I=1===n.length?n[0].toRow+1-n[0].fromRow:n.length,h.call(this,I)}return!1}if(!i.readOnlyMode&&(e.which===a.V&&(e.ctrlKey||e.metaKey)&&!e.shiftKey||e.which===a.INSERT&&e.shiftKey&&!e.ctrlKey)){var M=p(\"\");return setTimeout((function(){!function(e,t){var o=e.getColumns(),l=t.value.split(/[\\n\\f\\r]/);\"\"==l[l.length-1]&&l.pop();var n=[],a=0;d.removeChild(t);for(var s=0;s<l.length;s++)\"\"!=l[s]?n[a++]=l[s].split(\"\\t\"):n[s]=[\"\"];var u=e.getActiveCell(),c=e.getSelectionModel().getSelectedRanges(),f=c&&c.length?c[0]:null,h=null,C=null;if(f)h=f.fromRow,C=f.fromCell;else{if(!u)return;h=u.row,C=u.cell}var m=!1,p=n.length,y=n.length?n[0].length:0;1==n.length&&1==n[0].length&&f&&(m=!0,p=f.toRow-f.fromRow+1,y=f.toCell-f.fromCell+1);var w=e.getData().length-h,D=0;if(w<p&&i.newRowCreator){var S=e.getData();for(D=1;D<=p-w;D++)S.push({});e.setData(S),e.render()}var R=h+p>e.getDataLength();if(i.newRowCreator&&R){var x=h+p-e.getDataLength();i.newRowCreator(x)}var V={isClipboardCommand:!0,clippedRange:n,oldValues:[],cellExternalCopyManager:r,_options:i,setDataItemValueForColumn:g,markCopySelection:v,oneCellToMultiple:m,activeRow:h,activeCell:C,destH:p,destW:y,maxDestY:e.getDataLength(),maxDestX:e.getColumns().length,h:0,w:0,execute:function(){this.h=0;for(var t=0;t<this.destH;t++){this.oldValues[t]=[],this.w=0,this.h++;for(var l=0;l<this.destW;l++){this.w++;var a=h+t,r=C+l;if(a<this.maxDestY&&r<this.maxDestX){e.getCellNode(a,r);var i=e.getDataItem(a);this.oldValues[t][l]=i[o[r].field],m?this.setDataItemValueForColumn(i,o[r],n[0][0]):this.setDataItemValueForColumn(i,o[r],n[t]?n[t][l]:\"\"),e.updateCell(a,r),e.onCellChange.notify({row:a,cell:r,item:i,grid:e})}}}var s={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};this.markCopySelection([s]),e.getSelectionModel().setSelectedRanges([s]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[s]})},undo:function(){for(var t=0;t<this.destH;t++)for(var l=0;l<this.destW;l++){var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var r=e.getDataItem(n);m?this.setDataItemValueForColumn(r,o[a],this.oldValues[0][0]):this.setDataItemValueForColumn(r,o[a],this.oldValues[t][l]),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:r,grid:e})}}var i={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};if(this.markCopySelection([i]),e.getSelectionModel().setSelectedRanges([i]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[i]}),D>1){for(var s=e.getData();D>1;D--)s.splice(s.length-1,1);e.setData(s),e.render()}}};i.clipboardCommandHandler?i.clipboardCommandHandler(V):V.execute()}(t,M)}),100),!1}}}function v(e){w();for(var o=t.getColumns(),l={},n=0;n<e.length;n++)for(var a=e[n].fromRow;a<=e[n].toRow;a++){l[a]={};for(var i=e[n].fromCell;i<=e[n].toCell&&i<o.length;i++)l[a][o[i].id]=u}t.setCellCssStyles(s,l),clearTimeout(c),c=setTimeout((function(){r.clearCopySelection()}),2e3)}function w(){t.removeCellCssStyles(s)}l.extend(this,{init:function(e){(t=e).onKeyDown.subscribe(y);var o=e.getSelectionModel();if(!o)throw new Error(\"Selection model is mandatory for this plugin. Please set a selection model on the grid before adding this plugin: grid.setSelectionModel(new Slick.CellSelectionModel())\");o.onSelectedRangesChanged.subscribe((function(e,o){t.focus()}))},destroy:function(){t.onKeyDown.unsubscribe(y)},clearCopySelection:w,handleKeyDown:y,onCopyCells:new n.Event,onCopyCancelled:new n.Event,onPasteCells:new n.Event,setIncludeHeaderWhenCopying:function(e){i.includeHeaderWhenCopying=e}})}}},\n      448: function _(r,t,o){var _=r(1);_.__exportStar(r(445),t.exports),_.__exportStar(r(449),t.exports),_.__exportStar(r(452),t.exports),_.__exportStar(r(453),t.exports),_.__exportStar(r(454),t.exports),_.__exportStar(r(455),t.exports),_.__exportStar(r(456),t.exports)},\n      449: function _(require,module,exports){\n      /**\n           * @license\n           * (c) 2009-2016 Michael Leibman\n           * michael{dot}leibman{at}gmail{dot}com\n           * http://github.com/mleibman/slickgrid\n           *\n           * Distributed under MIT license.\n           * All rights reserved.\n           *\n           * SlickGrid v2.3\n           *\n           * NOTES:\n           *     Cell/row DOM manipulations are done directly bypassing jQuery's DOM manipulation methods.\n           *     This increases the speed dramatically, but can only be done safely because there are no event handlers\n           *     or data associated with any cell/row DOM nodes.  Cell editors must make sure they implement .destroy()\n           *     and do proper cleanup.\n           */\n      var $=require(443),Slick=require(445),scrollbarDimensions,maxSupportedCssHeight;function SlickGrid(container,data,columns,options){$.fn.drag||require(450),$.fn.drop||require(451);var defaults={alwaysShowVerticalScroll:!1,explicitInitialization:!1,rowHeight:25,defaultColumnWidth:80,enableAddRow:!1,leaveSpaceForNewRows:!1,editable:!1,autoEdit:!0,suppressActiveCellChangeOnEdit:!1,enableCellNavigation:!0,enableColumnReorder:!0,asyncEditorLoading:!1,asyncEditorLoadDelay:100,forceFitColumns:!1,enableAsyncPostRender:!1,asyncPostRenderDelay:50,enableAsyncPostRenderCleanup:!1,asyncPostRenderCleanupDelay:40,autoHeight:!1,editorLock:Slick.GlobalEditorLock,showHeaderRow:!1,headerRowHeight:25,createFooterRow:!1,showFooterRow:!1,footerRowHeight:25,createPreHeaderPanel:!1,showPreHeaderPanel:!1,preHeaderPanelHeight:25,showTopPanel:!1,topPanelHeight:25,formatterFactory:null,editorFactory:null,cellFlashingCssClass:\"flashing\",selectedCellCssClass:\"selected\",multiSelect:!0,enableTextSelectionOnCells:!1,dataItemColumnValueExtractor:null,fullWidthRows:!1,multiColumnSort:!1,numberedMultiColumnSort:!1,tristateMultiColumnSort:!1,sortColNumberInSeparateSpan:!1,defaultFormatter,forceSyncScrolling:!1,addNewRowCssClass:\"new-row\",preserveCopiedSelectionOnPaste:!1,showCellSelection:!0,viewportClass:null,minRowBuffer:3,emulatePagingWhenScrolling:!0,editorCellNavOnLRKeys:!1},columnDefaults={name:\"\",resizable:!0,sortable:!1,minWidth:30,rerenderOnResize:!1,headerCssClass:null,defaultSortAsc:!0,focusable:!0,selectable:!0},th,h,ph,n,cj,page=0,offset=0,vScrollDir=1,initialized=!1,$container,uid=\"slickgrid_\"+Math.round(1e6*Math.random()),self=this,$focusSink,$focusSink2,$headerScroller,$headers,$headerRow,$headerRowScroller,$headerRowSpacer,$footerRow,$footerRowScroller,$footerRowSpacer,$preHeaderPanel,$preHeaderPanelScroller,$preHeaderPanelSpacer,$topPanelScroller,$topPanel,$viewport,$canvas,$style,$boundAncestors,stylesheet,columnCssRulesL,columnCssRulesR,viewportH,viewportW,canvasWidth,viewportHasHScroll,viewportHasVScroll,headerColumnWidthDiff=0,headerColumnHeightDiff=0,cellWidthDiff=0,cellHeightDiff=0,jQueryNewWidthBehaviour=!1,absoluteColumnMinWidth,tabbingDirection=1,activePosX,activeRow,activeCell,activeCellNode=null,currentEditor=null,serializedEditorValue,editController,rowsCache={},renderedRows=0,numVisibleRows,prevScrollTop=0,scrollTop=0,lastRenderedScrollTop=0,lastRenderedScrollLeft=0,prevScrollLeft=0,scrollLeft=0,selectionModel,selectedRows=[],plugins=[],cellCssClasses={},columnsById={},sortColumns=[],columnPosLeft=[],columnPosRight=[],pagingActive=!1,pagingIsLastPage=!1,scrollThrottle=ActionThrottle(render,50),h_editorLoader=null,h_render=null,h_postrender=null,h_postrenderCleanup=null,postProcessedRows={},postProcessToRow=null,postProcessFromRow=null,postProcessedCleanupQueue=[],postProcessgroupId=0,counter_rows_rendered=0,counter_rows_removed=0,rowNodeFromLastMouseWheelEvent,zombieRowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent,cssShow={position:\"absolute\",visibility:\"hidden\",display:\"block\"},$hiddenParents,oldProps=[],columnResizeDragging=!1;function init(){if(($container=container instanceof $?container:$(container)).length<1)throw new Error(\"SlickGrid requires a valid container, \"+container+\" does not exist in the DOM.\");cacheCssForHiddenInit(),maxSupportedCssHeight=maxSupportedCssHeight||getMaxSupportedCssHeight(),options=$.extend({},defaults,options),validateAndEnforceOptions(),columnDefaults.width=options.defaultColumnWidth,columnsById={};for(var e=0;e<columns.length;e++){var o=columns[e]=$.extend({},columnDefaults,columns[e]);columnsById[o.id]=e,o.minWidth&&o.width<o.minWidth&&(o.width=o.minWidth),o.maxWidth&&o.width>o.maxWidth&&(o.width=o.maxWidth)}if(options.enableColumnReorder&&!$.fn.sortable)throw new Error(\"SlickGrid's 'enableColumnReorder = true' option requires jquery-ui.sortable module to be loaded\");editController={commitCurrentEdit,cancelCurrentEdit},$container.empty().css(\"overflow\",\"hidden\").css(\"outline\",0).addClass(uid).addClass(\"ui-widget\"),/relative|absolute|fixed/.test($container.css(\"position\"))||$container.css(\"position\",\"relative\"),$focusSink=$(\"<div tabIndex='0' hideFocus style='position:fixed;width:0;height:0;top:0;left:0;outline:0;'></div>\").appendTo($container),options.createPreHeaderPanel&&($preHeaderPanelScroller=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($container),$preHeaderPanel=$(\"<div />\").appendTo($preHeaderPanelScroller),$preHeaderPanelSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScroller),options.showPreHeaderPanel||$preHeaderPanelScroller.hide()),$headerScroller=$(\"<div class='slick-header ui-state-default' />\").appendTo($container),$headers=$(\"<div class='slick-header-columns' style='left:-1000px' />\").appendTo($headerScroller),$headerRowScroller=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($container),$headerRow=$(\"<div class='slick-headerrow-columns' />\").appendTo($headerRowScroller),$headerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScroller),$topPanelScroller=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($container),$topPanel=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScroller),options.showTopPanel||$topPanelScroller.hide(),options.showHeaderRow||$headerRowScroller.hide(),($viewport=$(\"<div class='slick-viewport' style='width:100%;overflow:auto;outline:0;position:relative;;'>\").appendTo($container)).css(\"overflow-y\",options.alwaysShowVerticalScroll?\"scroll\":options.autoHeight?\"hidden\":\"auto\"),$viewport.css(\"overflow-x\",options.forceFitColumns?\"hidden\":\"auto\"),options.viewportClass&&$viewport.toggleClass(options.viewportClass,!0),$canvas=$(\"<div class='grid-canvas' />\").appendTo($viewport),scrollbarDimensions=scrollbarDimensions||measureScrollbar(),$preHeaderPanelSpacer&&$preHeaderPanelSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headers.width(getHeadersWidth()),$headerRowSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),options.createFooterRow&&($footerRowScroller=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($container),$footerRow=$(\"<div class='slick-footerrow-columns' />\").appendTo($footerRowScroller),$footerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScroller),options.showFooterRow||$footerRowScroller.hide()),$focusSink2=$focusSink.clone().appendTo($container),options.explicitInitialization||finishInitialization()}function finishInitialization(){initialized||(initialized=!0,viewportW=parseFloat($.css($container[0],\"width\",!0)),measureCellPaddingAndBorder(),disableSelection($headers),options.enableTextSelectionOnCells||$viewport.on(\"selectstart.ui\",(function(e){return $(e.target).is(\"input,textarea\")})),updateColumnCaches(),createColumnHeaders(),setupColumnSort(),createCssRules(),resizeCanvas(),bindAncestorScrollEvents(),$container.on(\"resize.slickgrid\",resizeCanvas),$viewport.on(\"scroll\",handleScroll),$headerScroller.on(\"contextmenu\",handleHeaderContextMenu).on(\"click\",handleHeaderClick).on(\"mouseenter\",\".slick-header-column\",handleHeaderMouseEnter).on(\"mouseleave\",\".slick-header-column\",handleHeaderMouseLeave),$headerRowScroller.on(\"scroll\",handleHeaderRowScroll),options.createFooterRow&&$footerRowScroller.on(\"scroll\",handleFooterRowScroll),options.createPreHeaderPanel&&$preHeaderPanelScroller.on(\"scroll\",handlePreHeaderPanelScroll),$focusSink.add($focusSink2).on(\"keydown\",handleKeyDown),$canvas.on(\"keydown\",handleKeyDown).on(\"click\",handleClick).on(\"dblclick\",handleDblClick).on(\"contextmenu\",handleContextMenu).on(\"draginit\",handleDragInit).on(\"dragstart\",{distance:3},handleDragStart).on(\"drag\",handleDrag).on(\"dragend\",handleDragEnd).on(\"mouseenter\",\".slick-cell\",handleMouseEnter).on(\"mouseleave\",\".slick-cell\",handleMouseLeave),navigator.userAgent.toLowerCase().match(/webkit/)&&navigator.userAgent.toLowerCase().match(/macintosh/)&&$canvas.on(\"mousewheel\",handleMouseWheel),restoreCssFromHiddenInit())}function cacheCssForHiddenInit(){($hiddenParents=$container.parents().addBack().not(\":visible\")).each((function(){var e={};for(var o in cssShow)e[o]=this.style[o],this.style[o]=cssShow[o];oldProps.push(e)}))}function restoreCssFromHiddenInit(){$hiddenParents.each((function(e){var o=oldProps[e];for(var t in cssShow)this.style[t]=o[t]}))}function registerPlugin(e){plugins.unshift(e),e.init(self)}function unregisterPlugin(e){for(var o=plugins.length;o>=0;o--)if(plugins[o]===e){plugins[o].destroy&&plugins[o].destroy(),plugins.splice(o,1);break}}function setSelectionModel(e){selectionModel&&(selectionModel.onSelectedRangesChanged.unsubscribe(handleSelectedRangesChanged),selectionModel.destroy&&selectionModel.destroy()),(selectionModel=e)&&(selectionModel.init(self),selectionModel.onSelectedRangesChanged.subscribe(handleSelectedRangesChanged))}function getSelectionModel(){return selectionModel}function getCanvasNode(){return $canvas[0]}function measureScrollbar(){var e=$('<div class=\"'+$viewport.className+'\" style=\"position:absolute; top:-10000px; left:-10000px; overflow:auto; width:100px; height:100px;\"></div>').appendTo($viewport),o=$('<div style=\"width:200px; height:200px; overflow:auto;\"></div>').appendTo(e),t={width:e[0].offsetWidth-e[0].clientWidth,height:e[0].offsetHeight-e[0].clientHeight};return o.remove(),e.remove(),t}function getColumnTotalWidth(e){for(var o=0,t=0,l=columns.length;t<l;t++){o+=columns[t].width}return e&&(o+=scrollbarDimensions.width),o}function getHeadersWidth(){var e=getColumnTotalWidth(!options.autoHeight);return Math.max(e,viewportW)+1e3}function getCanvasWidth(){for(var e=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,o=0,t=columns.length;t--;)o+=columns[t].width;return options.fullWidthRows?Math.max(o,e):o}function updateCanvasWidth(e){var o=canvasWidth;(canvasWidth=getCanvasWidth())!=o&&($canvas.width(canvasWidth),$headerRow.width(canvasWidth),options.createFooterRow&&$footerRow.width(canvasWidth),options.createPreHeaderPanel&&$preHeaderPanel.width(canvasWidth),$headers.width(getHeadersWidth()),viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width);var t=canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0);$headerRowSpacer.width(t),options.createFooterRow&&$footerRowSpacer.width(t),options.createPreHeaderPanel&&$preHeaderPanelSpacer.width(t),(canvasWidth!=o||e)&&applyColumnWidths()}function disableSelection(e){e&&e.jquery&&e.attr(\"unselectable\",\"on\").css(\"MozUserSelect\",\"none\").on(\"selectstart.ui\",(function(){return!1}))}function getMaxSupportedCssHeight(){for(var e=1e6,o=navigator.userAgent.toLowerCase().match(/firefox/)?6e6:1e9,t=$(\"<div style='display:none' />\").appendTo(document.body);;){var l=2*e;if(t.css(\"height\",l),l>o||t.height()!==l)break;e=l}return t.remove(),e}function getUID(){return uid}function getHeaderColumnWidthDiff(){return headerColumnWidthDiff}function getScrollbarDimensions(){return scrollbarDimensions}function bindAncestorScrollEvents(){for(var e=$canvas[0];(e=e.parentNode)!=document.body&&null!=e;)if(e==$viewport[0]||e.scrollWidth!=e.clientWidth||e.scrollHeight!=e.clientHeight){var o=$(e);$boundAncestors=$boundAncestors?$boundAncestors.add(o):o,o.on(\"scroll.\"+uid,handleActiveCellPositionChange)}}function unbindAncestorScrollEvents(){$boundAncestors&&($boundAncestors.off(\"scroll.\"+uid),$boundAncestors=null)}function updateColumnHeader(e,o,t){if(initialized){var l=getColumnIndex(e);if(null!=l){var n=columns[l],r=$headers.children().eq(l);r&&(void 0!==o&&(columns[l].name=o),void 0!==t&&(columns[l].toolTip=t),trigger(self.onBeforeHeaderCellDestroy,{node:r[0],column:n,grid:self}),r.attr(\"title\",t||\"\").children().eq(0).html(o),trigger(self.onHeaderCellRendered,{node:r[0],column:n,grid:self}))}}}function getHeader(){return $headers[0]}function getHeaderColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headers.children().eq(o);return t&&t[0]}function getHeaderRow(){return $headerRow[0]}function getFooterRow(){return $footerRow[0]}function getPreHeaderPanel(){return $preHeaderPanel[0]}function getHeaderRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headerRow.children().eq(o);return t&&t[0]}function getFooterRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$footerRow.children().eq(o);return t&&t[0]}function createColumnHeaders(){function e(){$(this).addClass(\"ui-state-hover\")}function o(){$(this).removeClass(\"ui-state-hover\")}$headers.find(\".slick-header-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderCellDestroy,{node:this,column:e,grid:self})})),$headers.empty(),$headers.width(getHeadersWidth()),$headerRow.find(\".slick-headerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderRowCellDestroy,{node:this,column:e,grid:self})})),$headerRow.empty(),options.createFooterRow&&($footerRow.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e})})),$footerRow.empty());for(var t=0;t<columns.length;t++){var l=columns[t],n=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+l.name+\"</span>\").width(l.width-headerColumnWidthDiff).attr(\"id\",\"\"+uid+l.id).attr(\"title\",l.toolTip||\"\").data(\"column\",l).addClass(l.headerCssClass||\"\").appendTo($headers);if((options.enableColumnReorder||l.sortable)&&n.on(\"mouseenter\",e).on(\"mouseleave\",o),l.sortable&&(n.addClass(\"slick-header-sortable\"),n.append(\"<span class='slick-sort-indicator\"+(options.numberedMultiColumnSort&&!options.sortColNumberInSeparateSpan?\" slick-sort-indicator-numbered\":\"\")+\"' />\"),options.numberedMultiColumnSort&&options.sortColNumberInSeparateSpan&&n.append(\"<span class='slick-sort-indicator-numbered' />\")),trigger(self.onHeaderCellRendered,{node:n[0],column:l,grid:self}),options.showHeaderRow){var r=$(\"<div class='ui-state-default slick-headerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($headerRow);trigger(self.onHeaderRowCellRendered,{node:r[0],column:l,grid:self})}if(options.createFooterRow&&options.showFooterRow){var i=$(\"<div class='ui-state-default slick-footerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($footerRow);trigger(self.onFooterRowCellRendered,{node:i[0],column:l})}}setSortColumns(sortColumns),setupColumnResize(),options.enableColumnReorder&&(\"function\"==typeof options.enableColumnReorder?options.enableColumnReorder(self,$headers,headerColumnWidthDiff,setColumns,setupColumnResize,columns,getColumnIndex,uid,trigger):setupColumnReorder())}function setupColumnSort(){$headers.click((function(e){if(!columnResizeDragging&&(e.metaKey=e.metaKey||e.ctrlKey,!$(e.target).hasClass(\"slick-resizable-handle\"))){var o=$(e.target).closest(\".slick-header-column\");if(o.length){var t=o.data(\"column\");if(t.sortable){if(!getEditorLock().commitCurrentEdit())return;for(var l=null,n=0;n<sortColumns.length;n++)if(sortColumns[n].columnId==t.id){(l=sortColumns[n]).sortAsc=!l.sortAsc;break}var r=!!l;options.tristateMultiColumnSort?(l||(l={columnId:t.id,sortAsc:t.defaultSortAsc}),r&&l.sortAsc&&(sortColumns.splice(n,1),l=null),options.multiColumnSort||(sortColumns=[]),!l||r&&options.multiColumnSort||sortColumns.push(l)):e.metaKey&&options.multiColumnSort?l&&sortColumns.splice(n,1):((e.shiftKey||e.metaKey)&&options.multiColumnSort||(sortColumns=[]),l?0==sortColumns.length&&sortColumns.push(l):(l={columnId:t.id,sortAsc:t.defaultSortAsc},sortColumns.push(l))),setSortColumns(sortColumns),options.multiColumnSort?trigger(self.onSort,{multiColumnSort:!0,sortCols:$.map(sortColumns,(function(e){return{sortCol:columns[getColumnIndex(e.columnId)],sortAsc:e.sortAsc}}))},e):trigger(self.onSort,{multiColumnSort:!1,sortCol:sortColumns.length>0?t:null,sortAsc:!(sortColumns.length>0)||sortColumns[0].sortAsc},e)}}}}))}function setupColumnReorder(){$headers.filter(\":ui-sortable\").sortable(\"destroy\"),$headers.sortable({containment:\"parent\",distance:3,axis:\"x\",cursor:\"default\",tolerance:\"intersection\",helper:\"clone\",placeholder:\"slick-sortable-placeholder ui-state-default slick-header-column\",start:function(e,o){o.placeholder.width(o.helper.outerWidth()-headerColumnWidthDiff),$(o.helper).addClass(\"slick-header-column-active\")},beforeStop:function(e,o){$(o.helper).removeClass(\"slick-header-column-active\")},stop:function(e){if(getEditorLock().commitCurrentEdit()){for(var o=$headers.sortable(\"toArray\"),t=[],l=0;l<o.length;l++)t.push(columns[getColumnIndex(o[l].replace(uid,\"\"))]);setColumns(t),trigger(self.onColumnsReordered,{}),e.stopPropagation(),setupColumnResize()}else $(this).sortable(\"cancel\")}})}function setupColumnResize(){var e,o,t,l,n,r,i,s;(l=$headers.children()).find(\".slick-resizable-handle\").remove(),l.each((function(e,o){e>=columns.length||columns[e].resizable&&(void 0===i&&(i=e),s=e)})),void 0!==i&&l.each((function(a,c){a>=columns.length||a<i||options.forceFitColumns&&a>=s||($(c),$(\"<div class='slick-resizable-handle' />\").appendTo(c).on(\"dragstart\",(function(i,s){if(!getEditorLock().commitCurrentEdit())return!1;t=i.pageX,$(this).parent().addClass(\"slick-header-column-active\");var c=null,d=null;if(l.each((function(e,o){e>=columns.length||(columns[e].previousWidth=$(o).outerWidth())})),options.forceFitColumns)for(c=0,d=0,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(null!==d&&(o.maxWidth?d+=o.maxWidth-o.previousWidth:d=null),c+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));var u=0,h=0;for(e=0;e<=a;e++)(o=columns[e]).resizable&&(null!==h&&(o.maxWidth?h+=o.maxWidth-o.previousWidth:h=null),u+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));null===c&&(c=1e5),null===u&&(u=1e5),null===d&&(d=1e5),null===h&&(h=1e5),r=t+Math.min(c,h),n=t-Math.min(u,d)})).on(\"drag\",(function(l,i){columnResizeDragging=!0;var s,c,d=Math.min(r,Math.max(n,l.pageX))-t;if(d<0){for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0))}else{for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0))}applyColumnHeaderWidths(),options.syncColumnCellResize&&applyColumnWidths()})).on(\"dragend\",(function(t,n){var r;for($(this).parent().removeClass(\"slick-header-column-active\"),e=0;e<columns.length;e++)o=columns[e],r=$(l[e]).outerWidth(),o.previousWidth!==r&&o.rerenderOnResize&&invalidateAllRows();updateCanvasWidth(!0),render(),trigger(self.onColumnsResized,{}),setTimeout((function(){columnResizeDragging=!1}),300)})))}))}function getVBoxDelta(e){var o=0;return $.each([\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],(function(t,l){o+=parseFloat(e.css(l))||0})),o}function measureCellPaddingAndBorder(){var e,o=[\"borderLeftWidth\",\"borderRightWidth\",\"paddingLeft\",\"paddingRight\"],t=[\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],l=$.fn.jquery.split(\".\");jQueryNewWidthBehaviour=1==l[0]&&l[1]>=8||l[0]>=2,e=$(\"<div class='ui-state-default slick-header-column' style='visibility:hidden'>-</div>\").appendTo($headers),headerColumnWidthDiff=headerColumnHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){headerColumnWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){headerColumnHeightDiff+=parseFloat(e.css(t))||0}))),e.remove();var n=$(\"<div class='slick-row' />\").appendTo($canvas);e=$(\"<div class='slick-cell' id='' style='visibility:hidden'>-</div>\").appendTo(n),cellWidthDiff=cellHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){cellWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){cellHeightDiff+=parseFloat(e.css(t))||0}))),n.remove(),absoluteColumnMinWidth=Math.max(headerColumnWidthDiff,cellWidthDiff)}function createCssRules(){$style=$(\"<style type='text/css' rel='stylesheet' />\").appendTo($(\"head\"));for(var e=options.rowHeight-cellHeightDiff,o=[\".\"+uid+\" .slick-header-column { left: 1000px; }\",\".\"+uid+\" .slick-top-panel { height:\"+options.topPanelHeight+\"px; }\",\".\"+uid+\" .slick-preheader-panel { height:\"+options.preHeaderPanelHeight+\"px; }\",\".\"+uid+\" .slick-headerrow-columns { height:\"+options.headerRowHeight+\"px; }\",\".\"+uid+\" .slick-footerrow-columns { height:\"+options.footerRowHeight+\"px; }\",\".\"+uid+\" .slick-cell { height:\"+e+\"px; }\",\".\"+uid+\" .slick-row { height:\"+options.rowHeight+\"px; }\"],t=0;t<columns.length;t++)o.push(\".\"+uid+\" .l\"+t+\" { }\"),o.push(\".\"+uid+\" .r\"+t+\" { }\");$style[0].styleSheet?$style[0].styleSheet.cssText=o.join(\" \"):$style[0].appendChild(document.createTextNode(o.join(\" \")))}function getColumnCssRules(e){var o;if(!stylesheet){var t=document.styleSheets;for(o=0;o<t.length;o++)if((t[o].ownerNode||t[o].owningElement)==$style[0]){stylesheet=t[o];break}if(!stylesheet)throw new Error(\"Cannot find stylesheet.\");columnCssRulesL=[],columnCssRulesR=[];var l,n,r=stylesheet.cssRules||stylesheet.rules;for(o=0;o<r.length;o++){var i=r[o].selectorText;(l=/\\.l\\d+/.exec(i))?(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesL[n]=r[o]):(l=/\\.r\\d+/.exec(i))&&(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesR[n]=r[o])}}return{left:columnCssRulesL[e],right:columnCssRulesR[e]}}function removeCssRules(){$style.remove(),stylesheet=null}function destroy(){getEditorLock().cancelCurrentEdit(),trigger(self.onBeforeDestroy,{});for(var e=plugins.length;e--;)unregisterPlugin(plugins[e]);options.enableColumnReorder&&$headers.filter(\":ui-sortable\").sortable(\"destroy\"),unbindAncestorScrollEvents(),$container.off(\".slickgrid\"),removeCssRules(),$canvas.off(\"draginit dragstart dragend drag\"),$container.empty().removeClass(uid)}function trigger(e,o,t){return t=t||new Slick.EventData,(o=o||{}).grid=self,e.notify(o,t,self)}function getEditorLock(){return options.editorLock}function getEditController(){return editController}function getColumnIndex(e){return columnsById[e]}function autosizeColumns(){var e,o,t,l=[],n=0,r=0,i=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW;for(e=0;e<columns.length;e++)o=columns[e],l.push(o.width),r+=o.width,o.resizable&&(n+=o.width-Math.max(o.minWidth,absoluteColumnMinWidth));for(t=r;r>i&&n;){var s=(r-i)/n;for(e=0;e<columns.length&&r>i;e++){o=columns[e];var a=l[e];if(!(!o.resizable||a<=o.minWidth||a<=absoluteColumnMinWidth)){var c=Math.max(o.minWidth,absoluteColumnMinWidth),d=Math.floor(s*(a-c))||1;r-=d=Math.min(d,a-c),n-=d,l[e]-=d}}if(t<=r)break;t=r}for(t=r;r<i;){var u=i/r;for(e=0;e<columns.length&&r<i;e++){o=columns[e];var h,p=l[e];r+=h=!o.resizable||o.maxWidth<=p?0:Math.min(Math.floor(u*p)-p,o.maxWidth-p||1e6)||1,l[e]+=r<=i?h:0}if(t>=r)break;t=r}var g=!1;for(e=0;e<columns.length;e++)columns[e].rerenderOnResize&&columns[e].width!=l[e]&&(g=!0),columns[e].width=l[e];applyColumnHeaderWidths(),updateCanvasWidth(!0),trigger(self.onAutosizeColumns,{columns}),g&&(invalidateAllRows(),render())}function applyColumnHeaderWidths(){if(initialized){for(var e,o=0,t=$headers.children(),l=columns.length;o<l;o++)e=$(t[o]),jQueryNewWidthBehaviour?e.outerWidth()!==columns[o].width&&e.outerWidth(columns[o].width):e.width()!==columns[o].width-headerColumnWidthDiff&&e.width(columns[o].width-headerColumnWidthDiff);updateColumnCaches()}}function applyColumnWidths(){for(var e,o,t=0,l=0;l<columns.length;l++)e=columns[l].width,(o=getColumnCssRules(l)).left.style.left=t+\"px\",o.right.style.right=canvasWidth-t-e+\"px\",t+=columns[l].width}function setSortColumn(e,o){setSortColumns([{columnId:e,sortAsc:o}])}function setSortColumns(e){sortColumns=e;var o=options.numberedMultiColumnSort&&sortColumns.length>1,t=$headers.children();t.removeClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").removeClass(\"slick-sort-indicator-asc slick-sort-indicator-desc\"),t.find(\".slick-sort-indicator-numbered\").text(\"\"),$.each(sortColumns,(function(e,l){null==l.sortAsc&&(l.sortAsc=!0);var n=getColumnIndex(l.columnId);null!=n&&(t.eq(n).addClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").addClass(l.sortAsc?\"slick-sort-indicator-asc\":\"slick-sort-indicator-desc\"),o&&t.eq(n).find(\".slick-sort-indicator-numbered\").text(e+1))}))}function getSortColumns(){return sortColumns}function handleSelectedRangesChanged(e,o){selectedRows=[];for(var t={},l=0;l<o.length;l++)for(var n=o[l].fromRow;n<=o[l].toRow;n++){t[n]||(selectedRows.push(n),t[n]={});for(var r=o[l].fromCell;r<=o[l].toCell;r++)canCellBeSelected(n,r)&&(t[n][columns[r].id]=options.selectedCellCssClass)}setCellCssStyles(options.selectedCellCssClass,t),trigger(self.onSelectedRowsChanged,{rows:getSelectedRows()},e)}function getColumns(){return columns}function updateColumnCaches(){columnPosLeft=[],columnPosRight=[];for(var e=0,o=0,t=columns.length;o<t;o++)columnPosLeft[o]=e,columnPosRight[o]=e+columns[o].width,e+=columns[o].width}function setColumns(e){columns=e,columnsById={};for(var o=0;o<columns.length;o++){var t=columns[o]=$.extend({},columnDefaults,columns[o]);columnsById[t.id]=o,t.minWidth&&t.width<t.minWidth&&(t.width=t.minWidth),t.maxWidth&&t.width>t.maxWidth&&(t.width=t.maxWidth)}updateColumnCaches(),initialized&&(invalidateAllRows(),createColumnHeaders(),removeCssRules(),createCssRules(),resizeCanvas(),applyColumnWidths(),handleScroll())}function getOptions(){return options}function setOptions(e,o){getEditorLock().commitCurrentEdit()&&(makeActiveCellNormal(),options.enableAddRow!==e.enableAddRow&&invalidateRow(getDataLength()),options=$.extend(options,e),validateAndEnforceOptions(),$viewport.css(\"overflow-y\",options.autoHeight?\"hidden\":\"auto\"),o||render())}function validateAndEnforceOptions(){options.autoHeight&&(options.leaveSpaceForNewRows=!1)}function setData(e,o){data=e,invalidateAllRows(),updateRowCount(),o&&scrollTo(0)}function getData(){return data}function getDataLength(){return data.getLength?data.getLength():data.length}function getDataLengthIncludingAddNew(){return getDataLength()+(options.enableAddRow&&(!pagingActive||pagingIsLastPage)?1:0)}function getDataItem(e){return data.getItem?data.getItem(e):data[e]}function getTopPanel(){return $topPanel[0]}function setTopPanelVisibility(e){options.showTopPanel!=e&&(options.showTopPanel=e,e?$topPanelScroller.slideDown(\"fast\",resizeCanvas):$topPanelScroller.slideUp(\"fast\",resizeCanvas))}function setHeaderRowVisibility(e){options.showHeaderRow!=e&&(options.showHeaderRow=e,e?$headerRowScroller.slideDown(\"fast\",resizeCanvas):$headerRowScroller.slideUp(\"fast\",resizeCanvas))}function setFooterRowVisibility(e){options.showFooterRow!=e&&(options.showFooterRow=e,e?$footerRowScroller.slideDown(\"fast\",resizeCanvas):$footerRowScroller.slideUp(\"fast\",resizeCanvas))}function setPreHeaderPanelVisibility(e){options.showPreHeaderPanel!=e&&(options.showPreHeaderPanel=e,e?$preHeaderPanelScroller.slideDown(\"fast\",resizeCanvas):$preHeaderPanelScroller.slideUp(\"fast\",resizeCanvas))}function getContainerNode(){return $container.get(0)}function getRowTop(e){return options.rowHeight*e-offset}function getRowFromPosition(e){return Math.floor((e+offset)/options.rowHeight)}function scrollTo(e){e=Math.max(e,0),e=Math.min(e,th-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0));var o=offset;page=Math.min(n-1,Math.floor(e/ph));var t=e-(offset=Math.round(page*cj));offset!=o&&(cleanupRows(getVisibleRange(t)),updateRowPositions());prevScrollTop!=t&&(vScrollDir=prevScrollTop+o<t+offset?1:-1,$viewport[0].scrollTop=lastRenderedScrollTop=scrollTop=prevScrollTop=t,trigger(self.onViewportChanged,{}))}function defaultFormatter(e,o,t,l,n,r){return null==t?\"\":(t+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}function getFormatter(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e),l=t&&t.columns&&(t.columns[o.id]||t.columns[getColumnIndex(o.id)]);return l&&l.formatter||t&&t.formatter||o.formatter||options.formatterFactory&&options.formatterFactory.getFormatter(o)||options.defaultFormatter}function getEditor(e,o){var t=columns[o],l=data.getItemMetadata&&data.getItemMetadata(e),n=l&&l.columns;return n&&n[t.id]&&void 0!==n[t.id].editor?n[t.id].editor:n&&n[o]&&void 0!==n[o].editor?n[o].editor:t.editor||options.editorFactory&&options.editorFactory.getEditor(t)}function getDataItemValueForColumn(e,o){return options.dataItemColumnValueExtractor?options.dataItemColumnValueExtractor(e,o):e[o.field]}function appendRowHtml(e,o,t,l){var n=getDataItem(o),r=\"slick-row\"+(o<l&&!n?\" loading\":\"\")+(o===activeRow&&options.showCellSelection?\" active\":\"\")+(o%2==1?\" odd\":\" even\");n||(r+=\" \"+options.addNewRowCssClass);var i,s,a=data.getItemMetadata&&data.getItemMetadata(o);a&&a.cssClasses&&(r+=\" \"+a.cssClasses),e.push(\"<div class='ui-widget-content \"+r+\"' style='top:\"+getRowTop(o)+\"px'>\");for(var c=0,d=columns.length;c<d;c++){if(s=columns[c],i=1,a&&a.columns){var u=a.columns[s.id]||a.columns[c];\"*\"===(i=u&&u.colspan||1)&&(i=d-c)}if(columnPosRight[Math.min(d-1,c+i-1)]>t.leftPx){if(columnPosLeft[c]>t.rightPx)break;appendCellHtml(e,o,c,i,n)}i>1&&(c+=i-1)}e.push(\"</div>\")}function appendCellHtml(e,o,t,l,n){var r=columns[t],i=\"slick-cell l\"+t+\" r\"+Math.min(columns.length-1,t+l-1)+(r.cssClass?\" \"+r.cssClass:\"\");for(var s in o===activeRow&&t===activeCell&&options.showCellSelection&&(i+=\" active\"),cellCssClasses)cellCssClasses[s][o]&&cellCssClasses[s][o][r.id]&&(i+=\" \"+cellCssClasses[s][o][r.id]);var a=null,c=\"\";n&&(a=getDataItemValueForColumn(n,r),null==(c=getFormatter(o,r)(o,t,a,r,n,self))&&(c=\"\"));var d=trigger(self.onBeforeAppendCell,{row:o,cell:t,value:a,dataContext:n})||\"\";d+=c&&c.addClasses?(d?\" \":\"\")+c.addClasses:\"\",e.push(\"<div class='\"+i+(d?\" \"+d:\"\")+\"'>\"),n&&e.push(\"[object Object]\"!==Object.prototype.toString.call(c)?c:c.text),e.push(\"</div>\"),rowsCache[o].cellRenderQueue.push(t),rowsCache[o].cellColSpans[t]=l}function cleanupRows(e){for(var o in rowsCache)(o=parseInt(o,10))!==activeRow&&(o<e.top||o>e.bottom)&&removeRowFromCache(o);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function invalidate(){updateRowCount(),invalidateAllRows(),render()}function invalidateAllRows(){for(var e in currentEditor&&makeActiveCellNormal(),rowsCache)removeRowFromCache(e);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function queuePostProcessedRowForCleanup(e,o,t){for(var l in postProcessgroupId++,o)o.hasOwnProperty(l)&&postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e.cellNodesByColumnIdx[0|l],columnIdx:0|l,rowIdx:t});postProcessedCleanupQueue.push({actionType:\"R\",groupId:postProcessgroupId,node:e.rowNode}),$(e.rowNode).detach()}function queuePostProcessedCellForCleanup(e,o,t){postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e,columnIdx:o,rowIdx:t}),$(e).detach()}function removeRowFromCache(e){var o=rowsCache[e];o&&(o.rowNode&&(rowNodeFromLastMouseWheelEvent===o.rowNode?(o.rowNode.style.display=\"none\",zombieRowNodeFromLastMouseWheelEvent=rowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent=o,zombieRowPostProcessedFromLastMouseWheelEvent=postProcessedRows[e]):options.enableAsyncPostRenderCleanup&&postProcessedRows[e]?queuePostProcessedRowForCleanup(o,postProcessedRows[e],e):$canvas[0].removeChild(o.rowNode)),delete rowsCache[e],delete postProcessedRows[e],renderedRows--,counter_rows_removed++)}function invalidateRows(e){var o,t;if(e&&e.length){for(vScrollDir=0,t=e.length,o=0;o<t;o++)currentEditor&&activeRow===e[o]&&makeActiveCellNormal(),rowsCache[e[o]]&&removeRowFromCache(e[o]);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}}function invalidateRow(e){(e||0===e)&&invalidateRows([e])}function applyFormatResultToCellNode(e,o,t){null==e&&(e=\"\"),\"[object Object]\"===Object.prototype.toString.call(e)?(o.innerHTML=e.text,e.removeClasses&&!t&&$(o).removeClass(e.removeClasses),e.addClasses&&$(o).addClass(e.addClasses)):o.innerHTML=e}function updateCell(e,o){var t=getCellNode(e,o);if(t){var l=columns[o],n=getDataItem(e);if(currentEditor&&activeRow===e&&activeCell===o)currentEditor.loadValue(n);else applyFormatResultToCellNode(n?getFormatter(e,l)(e,o,getDataItemValueForColumn(n,l),l,n,self):\"\",t),invalidatePostProcessingResults(e)}}function updateRow(e){var o=rowsCache[e];if(o){ensureCellNodesInRowsCache(e);var t=getDataItem(e);for(var l in o.cellNodesByColumnIdx)if(o.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=o.cellNodesByColumnIdx[l];e===activeRow&&l===activeCell&&currentEditor?currentEditor.loadValue(t):t?applyFormatResultToCellNode(getFormatter(e,n)(e,l,getDataItemValueForColumn(t,n),n,t,self),r):r.innerHTML=\"\"}invalidatePostProcessingResults(e)}}function getViewportHeight(){return parseFloat($.css($container[0],\"height\",!0))-parseFloat($.css($container[0],\"paddingTop\",!0))-parseFloat($.css($container[0],\"paddingBottom\",!0))-parseFloat($.css($headerScroller[0],\"height\"))-getVBoxDelta($headerScroller)-(options.showTopPanel?options.topPanelHeight+getVBoxDelta($topPanelScroller):0)-(options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0)-(options.createFooterRow&&options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0)-(options.createPreHeaderPanel&&options.showPreHeaderPanel?options.preHeaderPanelHeight+getVBoxDelta($preHeaderPanelScroller):0)}function resizeCanvas(){initialized&&(viewportH=options.autoHeight?options.rowHeight*getDataLengthIncludingAddNew():getViewportHeight(),numVisibleRows=Math.ceil(viewportH/options.rowHeight),viewportW=parseFloat($.css($container[0],\"width\",!0)),options.autoHeight||$viewport.height(viewportH),scrollbarDimensions&&scrollbarDimensions.width||(scrollbarDimensions=measureScrollbar()),options.forceFitColumns&&autosizeColumns(),updateRowCount(),handleScroll(),lastRenderedScrollLeft=-1,render())}function updatePagingStatusFromView(e){pagingActive=0!==e.pageSize,pagingIsLastPage=e.pageNum==e.totalPages-1}function updateRowCount(){if(initialized){var e=getDataLength(),o=getDataLengthIncludingAddNew()+(options.leaveSpaceForNewRows?numVisibleRows-1:0),t=viewportHasVScroll;viewportHasVScroll=options.alwaysShowVerticalScroll||!options.autoHeight&&o*options.rowHeight>viewportH,viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width,makeActiveCellNormal();var l=e-1;for(var r in rowsCache)r>l&&removeRowFromCache(r);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup(),activeCellNode&&activeRow>l&&resetActiveCell();var i=h;(th=Math.max(options.rowHeight*o,viewportH-scrollbarDimensions.height))<maxSupportedCssHeight?(h=ph=th,n=1,cj=0):(ph=(h=maxSupportedCssHeight)/100,n=Math.floor(th/ph),cj=(th-h)/(n-1)),h!==i&&($canvas.css(\"height\",h),scrollTop=$viewport[0].scrollTop);var s=scrollTop+offset<=th-viewportH;0==th||0==scrollTop?page=offset=0:scrollTo(s?scrollTop+offset:th-viewportH),h!=i&&options.autoHeight&&resizeCanvas(),options.forceFitColumns&&t!=viewportHasVScroll&&autosizeColumns(),updateCanvasWidth(!1)}}function getVisibleRange(e,o){return null==e&&(e=scrollTop),null==o&&(o=scrollLeft),{top:getRowFromPosition(e),bottom:getRowFromPosition(e+viewportH)+1,leftPx:o,rightPx:o+viewportW}}function getRenderedRange(e,o){var t=getVisibleRange(e,o),l=Math.round(viewportH/options.rowHeight),n=options.minRowBuffer;return-1==vScrollDir?(t.top-=l,t.bottom+=n):1==vScrollDir?(t.top-=n,t.bottom+=l):(t.top-=n,t.bottom+=n),t.top=Math.max(0,t.top),t.bottom=Math.min(getDataLengthIncludingAddNew()-1,t.bottom),t.leftPx-=viewportW,t.rightPx+=viewportW,t.leftPx=Math.max(0,t.leftPx),t.rightPx=Math.min(canvasWidth,t.rightPx),t}function ensureCellNodesInRowsCache(e){var o=rowsCache[e];if(o&&o.cellRenderQueue.length)for(var t=o.rowNode.lastChild;o.cellRenderQueue.length;){var l=o.cellRenderQueue.pop();o.cellNodesByColumnIdx[l]=t,t=t.previousSibling}}function cleanUpCells(e,o){var t,l,n=rowsCache[o],r=[];for(var i in n.cellNodesByColumnIdx)if(n.cellNodesByColumnIdx.hasOwnProperty(i)){i|=0;var s=n.cellColSpans[i];(columnPosLeft[i]>e.rightPx||columnPosRight[Math.min(columns.length-1,i+s-1)]<e.leftPx)&&(o==activeRow&&i==activeCell||r.push(i))}for(postProcessgroupId++;null!=(t=r.pop());)l=n.cellNodesByColumnIdx[t],options.enableAsyncPostRenderCleanup&&postProcessedRows[o]&&postProcessedRows[o][t]?queuePostProcessedCellForCleanup(l,t,o):n.rowNode.removeChild(l),delete n.cellColSpans[t],delete n.cellNodesByColumnIdx[t],postProcessedRows[o]&&delete postProcessedRows[o][t]}function cleanUpAndRenderCells(e){for(var o,t,l,n=[],r=[],i=e.top,s=e.bottom;i<=s;i++)if(o=rowsCache[i]){ensureCellNodesInRowsCache(i),cleanUpCells(e,i),t=0;var a=data.getItemMetadata&&data.getItemMetadata(i);a=a&&a.columns;for(var c=getDataItem(i),d=0,u=columns.length;d<u&&!(columnPosLeft[d]>e.rightPx);d++)if(null==(l=o.cellColSpans[d])){if(l=1,a){var h=a[columns[d].id]||a[d];\"*\"===(l=h&&h.colspan||1)&&(l=u-d)}columnPosRight[Math.min(u-1,d+l-1)]>e.leftPx&&(appendCellHtml(n,i,d,l,c),t++),d+=l>1?l-1:0}else d+=l>1?l-1:0;t&&(t,r.push(i))}if(n.length){var p,g,m=document.createElement(\"div\");for(m.innerHTML=n.join(\"\");null!=(p=r.pop());){var v;for(o=rowsCache[p];null!=(v=o.cellRenderQueue.pop());)g=m.lastChild,o.rowNode.appendChild(g),o.cellNodesByColumnIdx[v]=g}}}function renderRows(e){for(var o=$canvas[0],t=[],l=[],n=!1,r=getDataLength(),i=e.top,s=e.bottom;i<=s;i++)rowsCache[i]||(renderedRows++,l.push(i),rowsCache[i]={rowNode:null,cellColSpans:[],cellNodesByColumnIdx:[],cellRenderQueue:[]},appendRowHtml(t,i,e,r),activeCellNode&&activeRow===i&&(n=!0),counter_rows_rendered++);if(l.length){var a=document.createElement(\"div\");a.innerHTML=t.join(\"\");for(i=0,s=l.length;i<s;i++)rowsCache[l[i]].rowNode=o.appendChild(a.firstChild);n&&(activeCellNode=getCellNode(activeRow,activeCell))}}function startPostProcessing(){options.enableAsyncPostRender&&(clearTimeout(h_postrender),h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}function startPostProcessingCleanup(){options.enableAsyncPostRenderCleanup&&(clearTimeout(h_postrenderCleanup),h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay))}function invalidatePostProcessingResults(e){for(var o in postProcessedRows[e])postProcessedRows[e].hasOwnProperty(o)&&(postProcessedRows[e][o]=\"C\");postProcessFromRow=Math.min(postProcessFromRow,e),postProcessToRow=Math.max(postProcessToRow,e),startPostProcessing()}function updateRowPositions(){for(var e in rowsCache)rowsCache[e].rowNode.style.top=getRowTop(e)+\"px\"}function render(){if(initialized){scrollThrottle.dequeue();var e=getVisibleRange(),o=getRenderedRange();cleanupRows(o),lastRenderedScrollLeft!=scrollLeft&&cleanUpAndRenderCells(o),renderRows(o),postProcessFromRow=e.top,postProcessToRow=Math.min(getDataLengthIncludingAddNew()-1,e.bottom),startPostProcessing(),lastRenderedScrollTop=scrollTop,lastRenderedScrollLeft=scrollLeft,h_render=null,trigger(self.onRendered,{startRow:e.top,endRow:e.bottom,grid:self})}}function handleHeaderScroll(){handleElementScroll($headerScroller[0])}function handleHeaderRowScroll(){handleElementScroll($headerRowScroller[0])}function handleFooterRowScroll(){handleElementScroll($footerRowScroller[0])}function handlePreHeaderPanelScroll(){handleElementScroll($preHeaderPanelScroller[0])}function handleElementScroll(e){var o=e.scrollLeft;o!=$viewport[0].scrollLeft&&($viewport[0].scrollLeft=o)}function handleScroll(){scrollTop=$viewport[0].scrollTop,scrollLeft=$viewport[0].scrollLeft;var e=Math.abs(scrollTop-prevScrollTop),o=Math.abs(scrollLeft-prevScrollLeft);if(o&&(prevScrollLeft=scrollLeft,$headerScroller[0].scrollLeft=scrollLeft,$topPanelScroller[0].scrollLeft=scrollLeft,$headerRowScroller[0].scrollLeft=scrollLeft,options.createFooterRow&&($footerRowScroller[0].scrollLeft=scrollLeft),options.createPreHeaderPanel&&($preHeaderPanelScroller[0].scrollLeft=scrollLeft)),e)if(vScrollDir=prevScrollTop<scrollTop?1:-1,prevScrollTop=scrollTop,e<viewportH)scrollTo(scrollTop+offset);else{var t=offset;page=h==viewportH?0:Math.min(n-1,Math.floor(scrollTop*((th-viewportH)/(h-viewportH))*(1/ph))),t!=(offset=Math.round(page*cj))&&invalidateAllRows()}if(o||e){var l=Math.abs(lastRenderedScrollLeft-scrollLeft),r=Math.abs(lastRenderedScrollTop-scrollTop);(l>20||r>20)&&(options.forceSyncScrolling||r<viewportH&&l<viewportW?render():scrollThrottle.enqueue(),trigger(self.onViewportChanged,{}))}trigger(self.onScroll,{scrollLeft,scrollTop})}function ActionThrottle(e,o){var t=!1,l=!1;function n(){l=!1}function r(){t=!0,setTimeout(i,o),e()}function i(){l?(n(),r()):t=!1}return{enqueue:function(){t?l=!0:r()},dequeue:n}}function asyncPostProcessRows(){for(var e=getDataLength();postProcessFromRow<=postProcessToRow;){var o=vScrollDir>=0?postProcessFromRow++:postProcessToRow--,t=rowsCache[o];if(t&&!(o>=e)){for(var l in postProcessedRows[o]||(postProcessedRows[o]={}),ensureCellNodesInRowsCache(o),t.cellNodesByColumnIdx)if(t.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=postProcessedRows[o][l];if(n.asyncPostRender&&\"R\"!==r){var i=t.cellNodesByColumnIdx[l];i&&n.asyncPostRender(i,o,getDataItem(o),n,\"C\"===r),postProcessedRows[o][l]=\"R\"}}return void(h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}}}function asyncPostProcessCleanupRows(){if(postProcessedCleanupQueue.length>0){for(var e=postProcessedCleanupQueue[0].groupId;postProcessedCleanupQueue.length>0&&postProcessedCleanupQueue[0].groupId==e;){var o=postProcessedCleanupQueue.shift();if(\"R\"==o.actionType&&$(o.node).remove(),\"C\"==o.actionType){var t=columns[o.columnIdx];t.asyncPostRenderCleanup&&o.node&&t.asyncPostRenderCleanup(o.node,o.rowIdx,t)}}h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay)}}function updateCellCssStylesOnRenderedRows(e,o){var t,l,n,r;for(var i in rowsCache){if(r=o&&o[i],n=e&&e[i],r)for(l in r)n&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).removeClass(r[l]);if(n)for(l in n)r&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).addClass(n[l])}}function addCellCssStyles(e,o){if(cellCssClasses[e])throw new Error(\"addCellCssStyles: cell CSS hash with key '\"+e+\"' already exists.\");cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,null),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function removeCellCssStyles(e){cellCssClasses[e]&&(updateCellCssStylesOnRenderedRows(null,cellCssClasses[e]),delete cellCssClasses[e],trigger(self.onCellCssStylesChanged,{key:e,hash:null,grid:self}))}function setCellCssStyles(e,o){var t=cellCssClasses[e];cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,t),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function getCellCssStyles(e){return cellCssClasses[e]}function flashCell(e,o,t){if(t=t||100,rowsCache[e]){var l=$(getCellNode(e,o)),n=function(e){e&&setTimeout((function(){l.queue((function(){l.toggleClass(options.cellFlashingCssClass).dequeue(),n(e-1)}))}),t)};n(4)}}function handleMouseWheel(e){var o=$(e.target).closest(\".slick-row\")[0];o!=rowNodeFromLastMouseWheelEvent&&(zombieRowNodeFromLastMouseWheelEvent&&zombieRowNodeFromLastMouseWheelEvent!=o&&(options.enableAsyncPostRenderCleanup&&zombieRowPostProcessedFromLastMouseWheelEvent?queuePostProcessedRowForCleanup(zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent):$canvas[0].removeChild(zombieRowNodeFromLastMouseWheelEvent),zombieRowNodeFromLastMouseWheelEvent=null,zombieRowCacheFromLastMouseWheelEvent=null,zombieRowPostProcessedFromLastMouseWheelEvent=null,options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()),rowNodeFromLastMouseWheelEvent=o)}function handleDragInit(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragInit,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDragStart(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragStart,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDrag(e,o){return trigger(self.onDrag,o,e)}function handleDragEnd(e,o){trigger(self.onDragEnd,o,e)}function handleKeyDown(e){trigger(self.onKeyDown,{row:activeRow,cell:activeCell},e);var o=e.isImmediatePropagationStopped(),t=Slick.keyCode;if(!o&&!e.shiftKey&&!e.altKey){if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;e.which==t.HOME?o=e.ctrlKey?navigateTop():navigateRowStart():e.which==t.END&&(o=e.ctrlKey?navigateBottom():navigateRowEnd())}if(!o)if(e.shiftKey||e.altKey||e.ctrlKey)e.which!=t.TAB||!e.shiftKey||e.ctrlKey||e.altKey||(o=navigatePrev());else{if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;if(e.which==t.ESCAPE){if(!getEditorLock().isActive())return;cancelEditAndSetFocus()}else e.which==t.PAGE_DOWN?(navigatePageDown(),o=!0):e.which==t.PAGE_UP?(navigatePageUp(),o=!0):e.which==t.LEFT?o=navigateLeft():e.which==t.RIGHT?o=navigateRight():e.which==t.UP?o=navigateUp():e.which==t.DOWN?o=navigateDown():e.which==t.TAB?o=navigateNext():e.which==t.ENTER&&(options.editable&&(currentEditor?activeRow===getDataLength()?navigateDown():commitEditAndSetFocus():getEditorLock().commitCurrentEdit()&&makeActiveCellEditable(void 0,void 0,e)),o=!0)}if(o){e.stopPropagation(),e.preventDefault();try{e.originalEvent.keyCode=0}catch(e){}}}function handleClick(e){currentEditor||(e.target!=document.activeElement||$(e.target).hasClass(\"slick-cell\"))&&setFocus();var o=getCellFromEvent(e);if(o&&(null===currentEditor||activeRow!=o.row||activeCell!=o.cell)&&(trigger(self.onClick,{row:o.row,cell:o.cell},e),!e.isImmediatePropagationStopped()&&canCellBeActive(o.row,o.cell)&&(!getEditorLock().isActive()||getEditorLock().commitCurrentEdit()))){scrollRowIntoView(o.row,!1);var t=e.target&&e.target.className===Slick.preClickClassName,l=columns[o.cell],n=!!(options.editable&&l&&l.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(getCellNode(o.row,o.cell),null,t,n,e)}}function handleContextMenu(e){var o=$(e.target).closest(\".slick-cell\",$canvas);0!==o.length&&(activeCellNode===o[0]&&null!==currentEditor||trigger(self.onContextMenu,{},e))}function handleDblClick(e){var o=getCellFromEvent(e);!o||null!==currentEditor&&activeRow==o.row&&activeCell==o.cell||(trigger(self.onDblClick,{row:o.row,cell:o.cell},e),e.isImmediatePropagationStopped()||options.editable&&gotoCell(o.row,o.cell,!0,e))}function handleHeaderMouseEnter(e){trigger(self.onHeaderMouseEnter,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderMouseLeave(e){trigger(self.onHeaderMouseLeave,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderContextMenu(e){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");trigger(self.onHeaderContextMenu,{column:t},e)}function handleHeaderClick(e){if(!columnResizeDragging){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");t&&trigger(self.onHeaderClick,{column:t},e)}}function handleMouseEnter(e){trigger(self.onMouseEnter,{},e)}function handleMouseLeave(e){trigger(self.onMouseLeave,{},e)}function cellExists(e,o){return!(e<0||e>=getDataLength()||o<0||o>=columns.length)}function getCellFromPoint(e,o){for(var t=getRowFromPosition(o),l=0,n=0,r=0;r<columns.length&&n<e;r++)n+=columns[r].width,l++;return l<0&&(l=0),{row:t,cell:l-1}}function getCellFromNode(e){var o=/l\\d+/.exec(e.className);if(!o)throw new Error(\"getCellFromNode: cannot get cell - \"+e.className);return parseInt(o[0].substr(1,o[0].length-1),10)}function getRowFromNode(e){for(var o in rowsCache)if(rowsCache[o].rowNode===e)return 0|o;return null}function getCellFromEvent(e){var o=$(e.target).closest(\".slick-cell\",$canvas);if(!o.length)return null;var t=getRowFromNode(o[0].parentNode),l=getCellFromNode(o[0]);return null==t||null==l?null:{row:t,cell:l}}function getCellNodeBox(e,o){if(!cellExists(e,o))return null;for(var t=getRowTop(e),l=t+options.rowHeight-1,n=0,r=0;r<o;r++)n+=columns[r].width;return{top:t,left:n,bottom:l,right:n+columns[o].width}}function resetActiveCell(){setActiveCellInternal(null,!1)}function setFocus(){-1==tabbingDirection?$focusSink[0].focus():$focusSink2[0].focus()}function scrollCellIntoView(e,o,t){scrollRowIntoView(e,t);var l=getColspan(e,o);internalScrollColumnIntoView(columnPosLeft[o],columnPosRight[o+(l>1?l-1:0)])}function internalScrollColumnIntoView(e,o){var t=scrollLeft+viewportW;e<scrollLeft?($viewport.scrollLeft(e),handleScroll(),render()):o>t&&($viewport.scrollLeft(Math.min(e,o-$viewport[0].clientWidth)),handleScroll(),render())}function scrollColumnIntoView(e){internalScrollColumnIntoView(columnPosLeft[e],columnPosRight[e])}function setActiveCellInternal(e,o,t,l,n){null!==activeCellNode&&(makeActiveCellNormal(),$(activeCellNode).removeClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).removeClass(\"active\"));null!=(activeCellNode=e)?(activeRow=getRowFromNode(activeCellNode.parentNode),activeCell=activePosX=getCellFromNode(activeCellNode),null==o&&(o=activeRow==getDataLength()||options.autoEdit),options.showCellSelection&&($(activeCellNode).addClass(\"active\"),$(rowsCache[activeRow].rowNode).addClass(\"active\")),options.editable&&o&&isCellPotentiallyEditable(activeRow,activeCell)&&(clearTimeout(h_editorLoader),options.asyncEditorLoading?h_editorLoader=setTimeout((function(){makeActiveCellEditable(void 0,t,n)}),options.asyncEditorLoadDelay):makeActiveCellEditable(void 0,t,n))):activeRow=activeCell=null,l||trigger(self.onActiveCellChanged,getActiveCell())}function clearTextSelection(){if(document.selection&&document.selection.empty)try{document.selection.empty()}catch(e){}else if(window.getSelection){var e=window.getSelection();e&&e.removeAllRanges&&e.removeAllRanges()}}function isCellPotentiallyEditable(e,o){var t=getDataLength();return!(e<t&&!getDataItem(e))&&(!(columns[o].cannotTriggerInsert&&e>=t)&&!!getEditor(e,o))}function makeActiveCellNormal(){if(currentEditor){if(trigger(self.onBeforeCellEditorDestroy,{editor:currentEditor}),currentEditor.destroy(),currentEditor=null,activeCellNode){var e=getDataItem(activeRow);if($(activeCellNode).removeClass(\"editable invalid\"),e){var o=columns[activeCell];applyFormatResultToCellNode(getFormatter(activeRow,o)(activeRow,activeCell,getDataItemValueForColumn(e,o),o,e,self),activeCellNode),invalidatePostProcessingResults(activeRow)}}navigator.userAgent.toLowerCase().match(/msie/)&&clearTextSelection(),getEditorLock().deactivate(editController)}}function makeActiveCellEditable(e,o,t){if(activeCellNode){if(!options.editable)throw new Error(\"Grid : makeActiveCellEditable : should never get called when options.editable is false\");if(clearTimeout(h_editorLoader),isCellPotentiallyEditable(activeRow,activeCell)){var l=columns[activeCell],n=getDataItem(activeRow);if(!1!==trigger(self.onBeforeEditCell,{row:activeRow,cell:activeCell,item:n,column:l})){getEditorLock().activate(editController),$(activeCellNode).addClass(\"editable\");var r=e||getEditor(activeRow,activeCell);e||r.suppressClearOnEdit||(activeCellNode.innerHTML=\"\"),currentEditor=new r({grid:self,gridPosition:absBox($container[0]),position:absBox(activeCellNode),container:activeCellNode,column:l,item:n||{},event:t,commitChanges:commitEditAndSetFocus,cancelChanges:cancelEditAndSetFocus}),n&&(currentEditor.loadValue(n),o&&currentEditor.preClick&&currentEditor.preClick()),serializedEditorValue=currentEditor.serializeValue(),currentEditor.position&&handleActiveCellPositionChange()}else setFocus()}}}function commitEditAndSetFocus(){getEditorLock().commitCurrentEdit()&&(setFocus(),options.autoEdit&&navigateDown())}function cancelEditAndSetFocus(){getEditorLock().cancelCurrentEdit()&&setFocus()}function absBox(e){var o={top:e.offsetTop,left:e.offsetLeft,bottom:0,right:0,width:$(e).outerWidth(),height:$(e).outerHeight(),visible:!0};o.bottom=o.top+o.height,o.right=o.left+o.width;for(var t=e.offsetParent;(e=e.parentNode)!=document.body&&null!=e;)o.visible&&e.scrollHeight!=e.offsetHeight&&\"visible\"!=$(e).css(\"overflowY\")&&(o.visible=o.bottom>e.scrollTop&&o.top<e.scrollTop+e.clientHeight),o.visible&&e.scrollWidth!=e.offsetWidth&&\"visible\"!=$(e).css(\"overflowX\")&&(o.visible=o.right>e.scrollLeft&&o.left<e.scrollLeft+e.clientWidth),o.left-=e.scrollLeft,o.top-=e.scrollTop,e===t&&(o.left+=e.offsetLeft,o.top+=e.offsetTop,t=e.offsetParent),o.bottom=o.top+o.height,o.right=o.left+o.width;return o}function getActiveCellPosition(){return absBox(activeCellNode)}function getGridPosition(){return absBox($container[0])}function handleActiveCellPositionChange(){if(activeCellNode&&(trigger(self.onActiveCellPositionChanged,{}),currentEditor)){var e=getActiveCellPosition();currentEditor.show&&currentEditor.hide&&(e.visible?currentEditor.show():currentEditor.hide()),currentEditor.position&&currentEditor.position(e)}}function getCellEditor(){return currentEditor}function getActiveCell(){return activeCellNode?{row:activeRow,cell:activeCell}:null}function getActiveCellNode(){return activeCellNode}function scrollRowIntoView(e,o){var t=e*options.rowHeight,l=(e+1)*options.rowHeight-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0);(e+1)*options.rowHeight>scrollTop+viewportH+offset?(scrollTo(o?t:l),render()):e*options.rowHeight<scrollTop+offset&&(scrollTo(o?l:t),render())}function scrollRowToTop(e){scrollTo(e*options.rowHeight),render()}function scrollPage(e){var o=e*numVisibleRows;if(scrollTo((getRowFromPosition(scrollTop)+o)*options.rowHeight),render(),options.enableCellNavigation&&null!=activeRow){var t=activeRow+o,l=getDataLengthIncludingAddNew();t>=l&&(t=l-1),t<0&&(t=0);for(var n=0,r=null,i=activePosX;n<=activePosX;)canCellBeActive(t,n)&&(r=n),n+=getColspan(t,n);null!==r?(setActiveCellInternal(getCellNode(t,r)),activePosX=i):resetActiveCell()}}function navigatePageDown(){scrollPage(1)}function navigatePageUp(){scrollPage(-1)}function navigateTop(){navigateToRow(0)}function navigateBottom(){navigateToRow(getDataLength()-1)}function navigateToRow(e){var o=getDataLength();if(!o)return!0;if(e<0?e=0:e>=o&&(e=o-1),scrollCellIntoView(e,0,!0),options.enableCellNavigation&&null!=activeRow){for(var t=0,l=null,n=activePosX;t<=activePosX;)canCellBeActive(e,t)&&(l=t),t+=getColspan(e,t);null!==l?(setActiveCellInternal(getCellNode(e,l)),activePosX=n):resetActiveCell()}return!0}function getColspan(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e);if(!t||!t.columns)return 1;var l=t.columns[columns[o].id]||t.columns[o],n=l&&l.colspan;return n=\"*\"===n?columns.length-o:n||1}function findFirstFocusableCell(e){for(var o=0;o<columns.length;){if(canCellBeActive(e,o))return o;o+=getColspan(e,o)}return null}function findLastFocusableCell(e){for(var o=0,t=null;o<columns.length;)canCellBeActive(e,o)&&(t=o),o+=getColspan(e,o);return t}function gotoRight(e,o,t){if(o>=columns.length)return null;do{o+=getColspan(e,o)}while(o<columns.length&&!canCellBeActive(e,o));return o<columns.length?{row:e,cell:o,posX:o}:null}function gotoLeft(e,o,t){if(o<=0)return null;var l=findFirstFocusableCell(e);if(null===l||l>=o)return null;for(var n,r={row:e,cell:l,posX:l};;){if(!(n=gotoRight(r.row,r.cell,r.posX)))return null;if(n.cell>=o)return r;r=n}}function gotoDown(e,o,t){for(var l,n=getDataLengthIncludingAddNew();;){if(++e>=n)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoUp(e,o,t){for(var l;;){if(--e<0)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoNext(e,o,t){if(null==e&&null==o&&canCellBeActive(e=o=t=0,o))return{row:e,cell:o,posX:o};var l=gotoRight(e,o,t);if(l)return l;var n=null,r=getDataLengthIncludingAddNew();for(e===r-1&&e--;++e<r;)if(null!==(n=findFirstFocusableCell(e)))return{row:e,cell:n,posX:n};return null}function gotoPrev(e,o,t){if(null==e&&null==o&&canCellBeActive(e=getDataLengthIncludingAddNew()-1,o=t=columns.length-1))return{row:e,cell:o,posX:o};for(var l,n;!l&&!(l=gotoLeft(e,o,t));){if(--e<0)return null;o=0,null!==(n=findLastFocusableCell(e))&&(l={row:e,cell:n,posX:n})}return l}function gotoRowStart(e,o,t){var l=findFirstFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function gotoRowEnd(e,o,t){var l=findLastFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function navigateRight(){return navigate(\"right\")}function navigateLeft(){return navigate(\"left\")}function navigateDown(){return navigate(\"down\")}function navigateUp(){return navigate(\"up\")}function navigateNext(){return navigate(\"next\")}function navigatePrev(){return navigate(\"prev\")}function navigateRowStart(){return navigate(\"home\")}function navigateRowEnd(){return navigate(\"end\")}function navigate(e){if(!options.enableCellNavigation)return!1;if(!activeCellNode&&\"prev\"!=e&&\"next\"!=e)return!1;if(!getEditorLock().commitCurrentEdit())return!0;setFocus();tabbingDirection={up:-1,down:1,left:-1,right:1,prev:-1,next:1,home:-1,end:1}[e];var o=(0,{up:gotoUp,down:gotoDown,left:gotoLeft,right:gotoRight,prev:gotoPrev,next:gotoNext,home:gotoRowStart,end:gotoRowEnd}[e])(activeRow,activeCell,activePosX);if(o){var t=o.row==getDataLength();return scrollCellIntoView(o.row,o.cell,!t&&options.emulatePagingWhenScrolling),setActiveCellInternal(getCellNode(o.row,o.cell)),activePosX=o.posX,!0}return setActiveCellInternal(getCellNode(activeRow,activeCell)),!1}function getCellNode(e,o){return rowsCache[e]?(ensureCellNodesInRowsCache(e),rowsCache[e].cellNodesByColumnIdx[o]):null}function setActiveCell(e,o,t,l,n){initialized&&(e>getDataLength()||e<0||o>=columns.length||o<0||options.enableCellNavigation&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t,l,n)))}function canCellBeActive(e,o){if(!options.enableCellNavigation||e>=getDataLengthIncludingAddNew()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.focusable)return!!t.focusable;var l=t&&t.columns;return l&&l[columns[o].id]&&void 0!==l[columns[o].id].focusable?!!l[columns[o].id].focusable:l&&l[o]&&void 0!==l[o].focusable?!!l[o].focusable:!!columns[o].focusable}function canCellBeSelected(e,o){if(e>=getDataLength()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.selectable)return!!t.selectable;var l=t&&t.columns&&(t.columns[columns[o].id]||t.columns[o]);return l&&void 0!==l.selectable?!!l.selectable:!!columns[o].selectable}function gotoCell(e,o,t,l){initialized&&(canCellBeActive(e,o)&&getEditorLock().commitCurrentEdit()&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t||e===getDataLength()||options.autoEdit,null,options.editable,l),currentEditor||setFocus()))}function commitCurrentEdit(){var e=getDataItem(activeRow),o=columns[activeCell];if(currentEditor){if(currentEditor.isValueChanged()){var t=currentEditor.validate();if(t.valid){if(activeRow<getDataLength()){var l={row:activeRow,cell:activeCell,editor:currentEditor,serializedValue:currentEditor.serializeValue(),prevSerializedValue:serializedEditorValue,execute:function(){this.editor.applyValue(e,this.serializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})},undo:function(){this.editor.applyValue(e,this.prevSerializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})}};options.editCommandHandler?(makeActiveCellNormal(),options.editCommandHandler(e,o,l)):(l.execute(),makeActiveCellNormal())}else{var n={};currentEditor.applyValue(n,currentEditor.serializeValue()),makeActiveCellNormal(),trigger(self.onAddNewRow,{item:n,column:o})}return!getEditorLock().isActive()}return $(activeCellNode).removeClass(\"invalid\"),$(activeCellNode).width(),$(activeCellNode).addClass(\"invalid\"),trigger(self.onValidationError,{editor:currentEditor,cellNode:activeCellNode,validationResults:t,row:activeRow,cell:activeCell,column:o}),currentEditor.focus(),!1}makeActiveCellNormal()}return!0}function cancelCurrentEdit(){return makeActiveCellNormal(),!0}function rowsToRanges(e){for(var o=[],t=columns.length-1,l=0;l<e.length;l++)o.push(new Slick.Range(e[l],0,e[l],t));return o}function getSelectedRows(){if(!selectionModel)throw new Error(\"Selection model is not set\");return selectedRows}function setSelectedRows(e){if(!selectionModel)throw new Error(\"Selection model is not set\");self&&self.getEditorLock&&!self.getEditorLock().isActive()&&selectionModel.setSelectedRanges(rowsToRanges(e))}this.debug=function(){var e=\"\";e+=\"\\ncounter_rows_rendered:  \"+counter_rows_rendered,e+=\"\\ncounter_rows_removed:  \"+counter_rows_removed,e+=\"\\nrenderedRows:  \"+renderedRows,e+=\"\\nnumVisibleRows:  \"+numVisibleRows,e+=\"\\nmaxSupportedCssHeight:  \"+maxSupportedCssHeight,e+=\"\\nn(umber of pages):  \"+n,e+=\"\\n(current) page:  \"+page,e+=\"\\npage height (ph):  \"+ph,e+=\"\\nvScrollDir:  \"+vScrollDir,alert(e)},this.eval=function(expr){return eval(expr)},$.extend(this,{slickGridVersion:\"2.3.23\",onScroll:new Slick.Event,onSort:new Slick.Event,onHeaderMouseEnter:new Slick.Event,onHeaderMouseLeave:new Slick.Event,onHeaderContextMenu:new Slick.Event,onHeaderClick:new Slick.Event,onHeaderCellRendered:new Slick.Event,onBeforeHeaderCellDestroy:new Slick.Event,onHeaderRowCellRendered:new Slick.Event,onFooterRowCellRendered:new Slick.Event,onBeforeHeaderRowCellDestroy:new Slick.Event,onBeforeFooterRowCellDestroy:new Slick.Event,onMouseEnter:new Slick.Event,onMouseLeave:new Slick.Event,onClick:new Slick.Event,onDblClick:new Slick.Event,onContextMenu:new Slick.Event,onKeyDown:new Slick.Event,onAddNewRow:new Slick.Event,onBeforeAppendCell:new Slick.Event,onValidationError:new Slick.Event,onViewportChanged:new Slick.Event,onColumnsReordered:new Slick.Event,onColumnsResized:new Slick.Event,onCellChange:new Slick.Event,onBeforeEditCell:new Slick.Event,onBeforeCellEditorDestroy:new Slick.Event,onBeforeDestroy:new Slick.Event,onActiveCellChanged:new Slick.Event,onActiveCellPositionChanged:new Slick.Event,onDragInit:new Slick.Event,onDragStart:new Slick.Event,onDrag:new Slick.Event,onDragEnd:new Slick.Event,onSelectedRowsChanged:new Slick.Event,onCellCssStylesChanged:new Slick.Event,onAutosizeColumns:new Slick.Event,onRendered:new Slick.Event,registerPlugin,unregisterPlugin,getColumns,setColumns,getColumnIndex,updateColumnHeader,setSortColumn,setSortColumns,getSortColumns,autosizeColumns,getOptions,setOptions,getData,getDataLength,getDataItem,setData,getSelectionModel,setSelectionModel,getSelectedRows,setSelectedRows,getContainerNode,updatePagingStatusFromView,render,invalidate,invalidateRow,invalidateRows,invalidateAllRows,updateCell,updateRow,getViewport:getVisibleRange,getRenderedRange,resizeCanvas,updateRowCount,scrollRowIntoView,scrollRowToTop,scrollCellIntoView,scrollColumnIntoView,getCanvasNode,getUID,getHeaderColumnWidthDiff,getScrollbarDimensions,getHeadersWidth,getCanvasWidth,focus:setFocus,scrollTo,getCellFromPoint,getCellFromEvent,getActiveCell,setActiveCell,getActiveCellNode,getActiveCellPosition,resetActiveCell,editActiveCell:makeActiveCellEditable,getCellEditor,getCellNode,getCellNodeBox,canCellBeSelected,canCellBeActive,navigatePrev,navigateNext,navigateUp,navigateDown,navigateLeft,navigateRight,navigatePageUp,navigatePageDown,navigateTop,navigateBottom,navigateRowStart,navigateRowEnd,gotoCell,getTopPanel,setTopPanelVisibility,getPreHeaderPanel,setPreHeaderPanelVisibility,getHeader,getHeaderColumn,setHeaderRowVisibility,getHeaderRow,getHeaderRowColumn,setFooterRowVisibility,getFooterRow,getFooterRowColumn,getGridPosition,flashCell,addCellCssStyles,setCellCssStyles,removeCellCssStyles,getCellCssStyles,init:finishInitialization,destroy,getEditorLock,getEditController}),init()}module.exports={Grid:SlickGrid}},\n      450: function _(t,e,a){\n      /*!\n           * jquery.event.drag - v 2.3.0\n           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n           * Open Source MIT License - http://threedubmedia.com/code/license\n           */\n      var n=t(443);n.fn.drag=function(t,e,a){var r=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==r.indexOf(\"drag\")&&(r=\"drag\"+r),a=(t==o?e:a)||{},o?this.on(r,a,o):this.trigger(r)};var r=n.event,o=r.special,i=o.drag={defaults:{which:1,distance:0,not:\":input\",handle:null,relative:!1,drop:!0,click:!1},datakey:\"dragdata\",noBubble:!0,add:function(t){var e=n.data(this,i.datakey),a=t.data||{};e.related+=1,n.each(i.defaults,(function(t,n){void 0!==a[t]&&(e[t]=a[t])}))},remove:function(){n.data(this,i.datakey).related-=1},setup:function(){if(!n.data(this,i.datakey)){var t=n.extend({related:0},i.defaults);n.data(this,i.datakey,t),r.add(this,\"touchstart mousedown\",i.init,t),this.attachEvent&&this.attachEvent(\"ondragstart\",i.dontstart)}},teardown:function(){(n.data(this,i.datakey)||{}).related||(n.removeData(this,i.datakey),r.remove(this,\"touchstart mousedown\",i.init),i.textselect(!0),this.detachEvent&&this.detachEvent(\"ondragstart\",i.dontstart))},init:function(t){if(!i.touched){var e,a=t.data;if(!(0!=t.which&&a.which>0&&t.which!=a.which)&&!n(t.target).is(a.not)&&(!a.handle||n(t.target).closest(a.handle,t.currentTarget).length)&&(i.touched=\"touchstart\"==t.type?this:null,a.propagates=1,a.mousedown=this,a.interactions=[i.interaction(this,a)],a.target=t.target,a.pageX=t.pageX,a.pageY=t.pageY,a.dragging=null,e=i.hijack(t,\"draginit\",a),a.propagates))return(e=i.flatten(e))&&e.length&&(a.interactions=[],n.each(e,(function(){a.interactions.push(i.interaction(this,a))}))),a.propagates=a.interactions.length,!1!==a.drop&&o.drop&&o.drop.handler(t,a),i.textselect(!1),i.touched?r.add(i.touched,\"touchmove touchend\",i.handler,a):r.add(document,\"mousemove mouseup\",i.handler,a),!(!i.touched||a.live)&&void 0}},interaction:function(t,e){var a=t&&t.ownerDocument&&n(t)[e.relative?\"position\":\"offset\"]()||{top:0,left:0};return{drag:t,callback:new i.callback,droppable:[],offset:a}},handler:function(t){var e=t.data;switch(t.type){case!e.dragging&&\"touchmove\":t.preventDefault();case!e.dragging&&\"mousemove\":if(Math.pow(t.pageX-e.pageX,2)+Math.pow(t.pageY-e.pageY,2)<Math.pow(e.distance,2))break;t.target=e.target,i.hijack(t,\"dragstart\",e),e.propagates&&(e.dragging=!0);case\"touchmove\":t.preventDefault();case\"mousemove\":if(e.dragging){if(i.hijack(t,\"drag\",e),e.propagates){!1!==e.drop&&o.drop&&o.drop.handler(t,e);break}t.type=\"mouseup\"}case\"touchend\":case\"mouseup\":default:i.touched?r.remove(i.touched,\"touchmove touchend\",i.handler):r.remove(document,\"mousemove mouseup\",i.handler),e.dragging&&(!1!==e.drop&&o.drop&&o.drop.handler(t,e),i.hijack(t,\"dragend\",e)),i.textselect(!0),!1===e.click&&e.dragging&&n.data(e.mousedown,\"suppress.click\",(new Date).getTime()+5),e.dragging=i.touched=!1}},hijack:function(t,e,a,o,d){if(a){var s,c,l,p={event:t.originalEvent,type:t.type},u=e.indexOf(\"drop\")?\"drag\":\"drop\",g=o||0,h=isNaN(o)?a.interactions.length:o;t.type=e;var f=function(){};t.originalEvent=new n.Event(p.event,{preventDefault:f,stopPropagation:f,stopImmediatePropagation:f}),a.results=[];do{if(c=a.interactions[g]){if(\"dragend\"!==e&&c.cancelled)continue;l=i.properties(t,a,c),c.results=[],n(d||c[u]||a.droppable).each((function(o,d){if(l.target=d,t.isPropagationStopped=function(){return!1},!1===(s=d?r.dispatch.call(d,t,l):null)?(\"drag\"==u&&(c.cancelled=!0,a.propagates-=1),\"drop\"==e&&(c[u][o]=null)):\"dropinit\"==e&&c.droppable.push(i.element(s)||d),\"dragstart\"==e&&(c.proxy=n(i.element(s)||c.drag)[0]),c.results.push(s),delete t.result,\"dropinit\"!==e)return s})),a.results[g]=i.flatten(c.results),\"dropinit\"==e&&(c.droppable=i.flatten(c.droppable)),\"dragstart\"!=e||c.cancelled||l.update()}}while(++g<h);return t.type=p.type,t.originalEvent=p.event,i.flatten(a.results)}},properties:function(t,e,a){var n=a.callback;return n.drag=a.drag,n.proxy=a.proxy||a.drag,n.startX=e.pageX,n.startY=e.pageY,n.deltaX=t.pageX-e.pageX,n.deltaY=t.pageY-e.pageY,n.originalX=a.offset.left,n.originalY=a.offset.top,n.offsetX=n.originalX+n.deltaX,n.offsetY=n.originalY+n.deltaY,n.drop=i.flatten((a.drop||[]).slice()),n.available=i.flatten((a.droppable||[]).slice()),n},element:function(t){if(t&&(t.jquery||1==t.nodeType))return t},flatten:function(t){return n.map(t,(function(t){return t&&t.jquery?n.makeArray(t):t&&t.length?i.flatten(t):t}))},textselect:function(t){n(document)[t?\"off\":\"on\"](\"selectstart\",i.dontstart).css(\"MozUserSelect\",t?\"\":\"none\"),document.unselectable=t?\"off\":\"on\"},dontstart:function(){return!1},callback:function(){}};i.callback.prototype={update:function(){o.drop&&this.available.length&&n.each(this.available,(function(t){o.drop.locate(this,t)}))}};var d=r.dispatch;r.dispatch=function(t){if(!(n.data(this,\"suppress.\"+t.type)-(new Date).getTime()>0))return d.apply(this,arguments);n.removeData(this,\"suppress.\"+t.type)},o.draginit=o.dragstart=o.dragend=i},\n      451: function _(t,e,a){\n      /*!\n           * jquery.event.drop - v 2.3.0\n           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n           * Open Source MIT License - http://threedubmedia.com/code/license\n           */\n      var n=t(443);n.fn.drop=function(t,e,a){var i=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==i.indexOf(\"drop\")&&(i=\"drop\"+i),a=(t==o?e:a)||{},o?this.on(i,a,o):this.trigger(i)},n.drop=function(t){t=t||{},o.multi=!0===t.multi?1/0:!1===t.multi?1:isNaN(t.multi)?o.multi:t.multi,o.delay=t.delay||o.delay,o.tolerance=n.isFunction(t.tolerance)?t.tolerance:null===t.tolerance?null:o.tolerance,o.mode=t.mode||o.mode||\"intersect\"};var i=n.event.special,o=n.event.special.drop={multi:1,delay:20,mode:\"overlap\",targets:[],datakey:\"dropdata\",noBubble:!0,add:function(t){n.data(this,o.datakey).related+=1},remove:function(){n.data(this,o.datakey).related-=1},setup:function(){if(!n.data(this,o.datakey)){n.data(this,o.datakey,{related:0,active:[],anyactive:0,winner:0,location:{}}),o.targets.push(this)}},teardown:function(){if(!(n.data(this,o.datakey)||{}).related){n.removeData(this,o.datakey);var t=this;o.targets=n.grep(o.targets,(function(e){return e!==t}))}},handler:function(t,e){var a;if(e)switch(t.type){case\"mousedown\":case\"touchstart\":a=n(o.targets),\"string\"==typeof e.drop&&(a=a.filter(e.drop)),a.each((function(){var t=n.data(this,o.datakey);t.active=[],t.anyactive=0,t.winner=0})),e.droppable=a,i.drag.hijack(t,\"dropinit\",e);break;case\"mousemove\":case\"touchmove\":o.event=t,o.timer||o.tolerate(e);break;case\"mouseup\":case\"touchend\":o.timer=clearTimeout(o.timer),e.propagates&&(i.drag.hijack(t,\"drop\",e),i.drag.hijack(t,\"dropend\",e))}},locate:function(t,e){var a=n.data(t,o.datakey),i=n(t),r=i.offset()||{},d=i.outerHeight(),l=i.outerWidth(),c={elem:t,width:l,height:d,top:r.top,left:r.left,right:r.left+l,bottom:r.top+d};return a&&(a.location=c,a.index=e,a.elem=t),c},contains:function(t,e){return(e[0]||e.left)>=t.left&&(e[0]||e.right)<=t.right&&(e[1]||e.top)>=t.top&&(e[1]||e.bottom)<=t.bottom},modes:{intersect:function(t,e,a){return this.contains(a,[t.pageX,t.pageY])?1e9:this.modes.overlap.apply(this,arguments)},overlap:function(t,e,a){return Math.max(0,Math.min(a.bottom,e.bottom)-Math.max(a.top,e.top))*Math.max(0,Math.min(a.right,e.right)-Math.max(a.left,e.left))},fit:function(t,e,a){return this.contains(a,e)?1:0},middle:function(t,e,a){return this.contains(a,[e.left+.5*e.width,e.top+.5*e.height])?1:0}},sort:function(t,e){return e.winner-t.winner||t.index-e.index},tolerate:function(t){var 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i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}function a(e){var t=this.selectionStart,i=this.value.length;(e.keyCode===n.ui.keyCode.LEFT&&t>0||e.keyCode===n.ui.keyCode.RIGHT&&t<i-1)&&e.stopImmediatePropagation()}function s(e){e.keyCode!==n.ui.keyCode.LEFT&&e.keyCode!==n.ui.keyCode.RIGHT||e.stopImmediatePropagation()}l.DefaultDecimalPlaces=null,l.AllowEmptyValue=!1,t.exports={Editors:{Text:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.getValue=function(){return t.val()},this.setValue=function(e){t.val(e)},this.loadValue=function(n){i=n[e.column.field]||\"\",t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Integer:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid integer\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Float:l,Date:function(e){var t,i,o=!1;this.init=function(){(t=n(\"<INPUT type=text class='editor-text' />\")).appendTo(e.container),t.focus().select(),t.datepicker({showOn:\"button\",buttonImageOnly:!0,beforeShow:function(){o=!0},onClose:function(){o=!1}}),t.width(t.width()-18)},this.destroy=function(){n.datepicker.dpDiv.stop(!0,!0),t.datepicker(\"hide\"),t.datepicker(\"destroy\"),t.remove()},this.show=function(){o&&n.datepicker.dpDiv.stop(!0,!0).show()},this.hide=function(){o&&n.datepicker.dpDiv.stop(!0,!0).hide()},this.position=function(e){o&&n.datepicker.dpDiv.css(\"top\",e.top+30).css(\"left\",e.left)},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},YesNoSelect:function(e){var t,i;this.init=function(){(t=n(\"<SELECT tabIndex='0' class='editor-yesno'><OPTION value='yes'>Yes</OPTION><OPTION value='no'>No</OPTION></SELECT>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){t.val((i=n[e.column.field])?\"yes\":\"no\"),t.select()},this.serializeValue=function(){return\"yes\"==t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return t.val()!=i},this.validate=function(){return{valid:!0,msg:null}},this.init()},Checkbox:function(e){var t,i;this.init=function(){(t=n(\"<INPUT type=checkbox value='true' class='editor-checkbox' hideFocus>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){(i=!!n[e.column.field])?t.prop(\"checked\",!0):t.prop(\"checked\",!1)},this.preClick=function(){t.prop(\"checked\",!t.prop(\"checked\"))},this.serializeValue=function(){return t.prop(\"checked\")},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return this.serializeValue()!==i},this.validate=function(){return{valid:!0,msg:null}},this.init()},PercentComplete:function(e){var t,i,o;this.init=function(){(t=n(\"<INPUT type=text class='editor-percentcomplete' />\")).width(n(e.container).innerWidth()-25),t.appendTo(e.container),(i=n(\"<div class='editor-percentcomplete-picker' />\").appendTo(e.container)).append(\"<div class='editor-percentcomplete-helper'><div class='editor-percentcomplete-wrapper'><div class='editor-percentcomplete-slider' /><div class='editor-percentcomplete-buttons' /></div></div>\"),i.find(\".editor-percentcomplete-buttons\").append(\"<button val=0>Not started</button><br/><button val=50>In Progress</button><br/><button val=100>Complete</button>\"),t.focus().select(),i.find(\".editor-percentcomplete-slider\").slider({orientation:\"vertical\",range:\"min\",value:o,slide:function(e,i){t.val(i.value)}}),i.find(\".editor-percentcomplete-buttons button\").on(\"click\",(function(e){t.val(n(this).attr(\"val\")),i.find(\".editor-percentcomplete-slider\").slider(\"value\",n(this).attr(\"val\"))}))},this.destroy=function(){t.remove(),i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(o=i[e.column.field]),t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==o)&&(parseInt(t.val(),10)||0)!=o},this.validate=function(){return isNaN(parseInt(t.val(),10))?{valid:!1,msg:\"Please enter a valid positive number\"}:{valid:!0,msg:null}},this.init()},LongText:function(e){var t,i,l,a=this;this.init=function(){var o=n(\"body\");e.grid.getOptions().editorCellNavOnLRKeys;i=n(\"<DIV style='z-index:10000;position:absolute;background:white;padding:5px;border:3px solid gray; -moz-border-radius:10px; border-radius:10px;'/>\").appendTo(o),t=n(\"<TEXTAREA hidefocus rows=5 style='background:white;width:250px;height:80px;border:0;outline:0'>\").appendTo(i),n(\"<DIV style='text-align:right'><BUTTON>Save</BUTTON><BUTTON>Cancel</BUTTON></DIV>\").appendTo(i),i.find(\"button:first\").on(\"click\",this.save),i.find(\"button:last\").on(\"click\",this.cancel),t.on(\"keydown\",this.handleKeyDown),a.position(e.position),t.focus().select()},this.handleKeyDown=function(t){if(t.which==o.keyCode.ENTER&&t.ctrlKey)a.save();else if(t.which==o.keyCode.ESCAPE)t.preventDefault(),a.cancel();else if(t.which==o.keyCode.TAB&&t.shiftKey)t.preventDefault(),e.grid.navigatePrev();else if(t.which==o.keyCode.TAB)t.preventDefault(),e.grid.navigateNext();else if((t.which==n.ui.keyCode.LEFT||t.which==n.ui.keyCode.RIGHT)&&e.grid.getOptions().editorCellNavOnLRKeys){var i=this.selectionStart,l=this.value.length;t.keyCode===n.ui.keyCode.LEFT&&0===i&&e.grid.navigatePrev(),t.keyCode===n.ui.keyCode.RIGHT&&i>=l-1&&e.grid.navigateNext()}},this.save=function(){e.commitChanges()},this.cancel=function(){t.val(l),e.cancelChanges()},this.hide=function(){i.hide()},this.show=function(){i.show()},this.position=function(e){i.css(\"top\",e.top-5).css(\"left\",e.left-5)},this.destroy=function(){i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(l=i[e.column.field]),t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==l)&&t.val()!=l},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}}}},\n      454: function _(e,n,r){e(445);n.exports={Formatters:{PercentComplete:function(e,n,r,t,c){return null==r||\"\"===r?\"-\":r<50?\"<span style='color:red;font-weight:bold;'>\"+r+\"%</span>\":\"<span style='color:green'>\"+r+\"%</span>\"},PercentCompleteBar:function(e,n,r,t,c){return null==r||\"\"===r?\"\":\"<span class='percent-complete-bar' style='background:\"+(r<30?\"red\":r<70?\"silver\":\"green\")+\";width:\"+r+\"%'></span>\"},YesNo:function(e,n,r,t,c){return r?\"Yes\":\"No\"},Checkmark:function(e,n,r,t,c){return r?\"<img src='../images/tick.png'>\":\"\"},Checkbox:function(e,n,r,t,c){return'<img class=\"slick-edit-preclick\" src=\"../images/'+(r?\"CheckboxY\":\"CheckboxN\")+'.png\">'}}}},\n      455: function _(t,o,r){var e=t(443),n=t(445);o.exports={RemoteModel:function(){var t={length:0},o=\"\",r=null,a=1,l=null,i=null,s=new n.Event,u=new n.Event;function f(){for(var o in t)delete t[o];t.length=0}function c(n,f){if(i){i.abort();for(var c=i.fromPage;c<=i.toPage;c++)t[50*c]=void 0}n<0&&(n=0),t.length>0&&(f=Math.min(f,t.length-1));for(var d=Math.floor(n/50),v=Math.floor(f/50);void 0!==t[50*d]&&d<v;)d++;for(;void 0!==t[50*v]&&d<v;)v--;if(d>v||d==v&&void 0!==t[50*d])u.notify({from:n,to:f});else{var m=\"http://octopart.com/api/v3/parts/search?apikey=68b25f31&include[]=short_description&show[]=uid&show[]=manufacturer&show[]=mpn&show[]=brand&show[]=octopart_url&show[]=short_description&q=\"+o+\"&start=\"+50*d+\"&limit=\"+(50*(v-d)+50);null!=r&&(m+=\"&sortby=\"+r+(a>0?\"+asc\":\"+desc\")),null!=l&&clearTimeout(l),l=setTimeout((function(){for(var o=d;o<=v;o++)t[50*o]=null;s.notify({from:n,to:f}),(i=e.jsonp({url:m,callbackParameter:\"callback\",cache:!0,success:h,error:function(){!function(t,o){alert(\"error loading pages \"+t+\" to \"+o)}(d,v)}})).fromPage=d,i.toPage=v}),50)}}function h(o){var r=o.request.start,e=r+o.results.length;t.length=Math.min(parseInt(o.hits),1e3);for(var n=0;n<o.results.length;n++){var a=o.results[n].item;t[r+n]=a,t[r+n].index=r+n}i=null,u.notify({from:r,to:e})}return{data:t,clear:f,isDataLoaded:function(o,r){for(var e=o;e<=r;e++)if(null==t[e]||null==t[e])return!1;return!0},ensureData:c,reloadData:function(o,r){for(var e=o;e<=r;e++)delete t[e];c(o,r)},setSort:function(t,o){r=t,a=o,f()},setSearch:function(t){o=t,f()},onDataLoading:s,onDataLoaded:u}}}},\n      456: function _(e,s,t){var a=e(443),o=e(445);s.exports={GroupItemMetadataProvider:function(e){var s,t={checkboxSelect:!1,checkboxSelectCssClass:\"slick-group-select-checkbox\",checkboxSelectPlugin:null,groupCssClass:\"slick-group\",groupTitleCssClass:\"slick-group-title\",totalsCssClass:\"slick-group-totals\",groupFocusable:!0,totalsFocusable:!1,toggleCssClass:\"slick-group-toggle\",toggleExpandedCssClass:\"expanded\",toggleCollapsedCssClass:\"collapsed\",enableExpandCollapse:!0,groupFormatter:function(s,t,a,o,l,c){if(!e.enableExpandCollapse)return l.title;var r=15*l.level+\"px\";return(e.checkboxSelect?'<span class=\"'+e.checkboxSelectCssClass+\" \"+(l.selectChecked?\"checked\":\"unchecked\")+'\"></span>':\"\")+\"<span class='\"+e.toggleCssClass+\" \"+(l.collapsed?e.toggleCollapsedCssClass:e.toggleExpandedCssClass)+\"' style='margin-left:\"+r+\"'></span><span class='\"+e.groupTitleCssClass+\"' level='\"+l.level+\"'>\"+l.title+\"</span>\"},totalsFormatter:function(e,s,t,a,o,l){return a.groupTotalsFormatter&&a.groupTotalsFormatter(o,a,l)||\"\"}};function l(t,l){var c=a(t.target),r=this.getDataItem(l.row);if(r&&r instanceof o.Group&&c.hasClass(e.toggleCssClass)){var n=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:n.top,ignoreDiffsAfter:n.bottom+1}),r.collapsed?this.getData().expandGroup(r.groupingKey):this.getData().collapseGroup(r.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}if(r&&r instanceof o.Group&&c.hasClass(e.checkboxSelectCssClass)){r.selectChecked=!r.selectChecked,c.removeClass(r.selectChecked?\"unchecked\":\"checked\"),c.addClass(r.selectChecked?\"checked\":\"unchecked\");var i=s.getData().mapItemsToRows(r.rows);(r.selectChecked?e.checkboxSelectPlugin.selectRows:e.checkboxSelectPlugin.deSelectRows)(i)}}function c(t,a){if(e.enableExpandCollapse&&t.which==o.keyCode.SPACE){var l=this.getActiveCell();if(l){var c=this.getDataItem(l.row);if(c&&c instanceof o.Group){var r=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:r.top,ignoreDiffsAfter:r.bottom+1}),c.collapsed?this.getData().expandGroup(c.groupingKey):this.getData().collapseGroup(c.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}}}}return e=a.extend(!0,{},t,e),{init:function(e){(s=e).onClick.subscribe(l),s.onKeyDown.subscribe(c)},destroy:function(){s&&(s.onClick.unsubscribe(l),s.onKeyDown.unsubscribe(c))},getGroupRowMetadata:function(s){return{selectable:!1,focusable:e.groupFocusable,cssClasses:e.groupCssClass,columns:{0:{colspan:\"*\",formatter:e.groupFormatter,editor:null}}}},getTotalsRowMetadata:function(s){return{selectable:!1,focusable:e.totalsFocusable,cssClasses:e.totalsCssClass,formatter:e.totalsFormatter,editor:null}}}}}},\n      457: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),n=e(458),c=e(98),a=s.__importStar(e(18));class o extends n.Widget{constructor(e){super(e)}static init_TableWidget(){this.define({source:[a.Instance],view:[a.Instance,()=>new c.CDSView]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.source,this.view.compute_indices())}}t.TableWidget=o,o.__name__=\"TableWidget\",o.init_TableWidget()},\n      458: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(249),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n      459: function _(e,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_data_table=\"bk-data-table\",b.bk_cell_index=\"bk-cell-index\",b.bk_header_index=\"bk-header-index\",b.bk_cell_editor=\"bk-cell-editor\",b.bk_cell_select=\"bk-cell-select\"},\n      460: function _(A,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default='\\n.bk-root {\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /* Menu button */\\n  /* Menu */\\n  /* Menu items */\\n  /* Disabled */\\n}\\n.bk-root .slick-header.ui-state-default,\\n.bk-root .slick-headerrow.ui-state-default,\\n.bk-root .slick-footerrow.ui-state-default,\\n.bk-root .slick-top-panel-scroller.ui-state-default {\\n  width: 100%;\\n  overflow: auto;\\n  position: relative;\\n  border-left: 0px !important;\\n}\\n.bk-root .slick-header.ui-state-default {\\n  overflow: inherit;\\n}\\n.bk-root .slick-header::-webkit-scrollbar,\\n.bk-root .slick-headerrow::-webkit-scrollbar,\\n.bk-root .slick-footerrow::-webkit-scrollbar {\\n  display: none;\\n}\\n.bk-root .slick-header-columns,\\n.bk-root .slick-headerrow-columns,\\n.bk-root .slick-footerrow-columns {\\n  position: relative;\\n  white-space: nowrap;\\n  cursor: default;\\n  overflow: hidden;\\n}\\n.bk-root .slick-header-column.ui-state-default {\\n  position: relative;\\n  display: inline-block;\\n  box-sizing: content-box !important;\\n  /* this here only for Firefox! */\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  height: 16px;\\n  line-height: 16px;\\n  margin: 0;\\n  padding: 4px;\\n  border-right: 1px solid silver;\\n  border-left: 0px !important;\\n  border-top: 0px !important;\\n  border-bottom: 0px !important;\\n  float: left;\\n}\\n.bk-root .slick-headerrow-column.ui-state-default,\\n.bk-root .slick-footerrow-column.ui-state-default {\\n  padding: 4px;\\n}\\n.bk-root .slick-header-column-sorted {\\n  font-style: italic;\\n}\\n.bk-root .slick-sort-indicator {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 6px;\\n  float: left;\\n}\\n.bk-root .slick-sort-indicator-numbered {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 0;\\n  line-height: 20px;\\n  float: left;\\n  font-family: Arial;\\n  font-style: normal;\\n  font-weight: bold;\\n  color: #6190CD;\\n}\\n.bk-root .slick-sort-indicator-desc {\\n  background: url(images/sort-desc.gif);\\n}\\n.bk-root .slick-sort-indicator-asc {\\n  background: url(images/sort-asc.gif);\\n}\\n.bk-root .slick-resizable-handle {\\n  position: absolute;\\n  font-size: 0.1px;\\n  display: block;\\n  cursor: col-resize;\\n  width: 9px;\\n  right: -5px;\\n  top: 0;\\n  height: 100%;\\n  z-index: 1;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver;\\n}\\n.bk-root .grid-canvas {\\n  position: relative;\\n  outline: 0;\\n}\\n.bk-root .slick-row.ui-widget-content,\\n.bk-root .slick-row.ui-state-active {\\n  position: absolute;\\n  border: 0px;\\n  width: 100%;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column,\\n.bk-root .slick-footerrow-column {\\n  position: absolute;\\n  border: 1px solid transparent;\\n  border-right: 1px dotted silver;\\n  border-bottom-color: silver;\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  vertical-align: middle;\\n  z-index: 1;\\n  padding: 1px 2px 2px 1px;\\n  margin: 0;\\n  white-space: nowrap;\\n  cursor: default;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column {\\n  border-bottom-color: silver;\\n}\\n.bk-root .slick-footerrow-column {\\n  border-top-color: silver;\\n}\\n.bk-root .slick-group-toggle {\\n  display: inline-block;\\n}\\n.bk-root .slick-cell.highlighted {\\n  background: lightskyblue;\\n  background: rgba(0, 0, 255, 0.2);\\n  -webkit-transition: all 0.5s;\\n  -moz-transition: all 0.5s;\\n  -o-transition: all 0.5s;\\n  transition: all 0.5s;\\n}\\n.bk-root .slick-cell.flashing {\\n  border: 1px solid red !important;\\n}\\n.bk-root .slick-cell.editable {\\n  z-index: 11;\\n  overflow: visible;\\n  background: white;\\n  border-color: black;\\n  border-style: solid;\\n}\\n.bk-root .slick-cell:focus {\\n  outline: none;\\n}\\n.bk-root .slick-reorder-proxy {\\n  display: inline-block;\\n  background: blue;\\n  opacity: 0.15;\\n  cursor: move;\\n}\\n.bk-root .slick-reorder-guide {\\n  display: inline-block;\\n  height: 2px;\\n  background: blue;\\n  opacity: 0.7;\\n}\\n.bk-root .slick-selection {\\n  z-index: 10;\\n  position: absolute;\\n  border: 2px dashed black;\\n}\\n.bk-root .slick-header-columns {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-bottom: 1px solid silver;\\n}\\n.bk-root .slick-header-column {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-right: 1px solid silver;\\n}\\n.bk-root .slick-header-column:hover,\\n.bk-root .slick-header-column-active {\\n  background: white url(\\'images/header-columns-over-bg.gif\\') repeat-x center bottom;\\n}\\n.bk-root .slick-headerrow {\\n  background: #fafafa;\\n}\\n.bk-root .slick-headerrow-column {\\n  background: #fafafa;\\n  border-bottom: 0;\\n  height: 100%;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row {\\n  position: absolute;\\n  background: white;\\n  border: 0px;\\n  line-height: 20px;\\n}\\n.bk-root .slick-row.selected {\\n  z-index: 10;\\n  background: #DFE8F6;\\n}\\n.bk-root .slick-cell {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .slick-group {\\n  border-bottom: 2px solid silver;\\n}\\n.bk-root .slick-group-toggle {\\n  width: 9px;\\n  height: 9px;\\n  margin-right: 5px;\\n}\\n.bk-root .slick-group-toggle.expanded {\\n  background: url(images/collapse.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-toggle.collapsed {\\n  background: url(images/expand.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-totals {\\n  color: gray;\\n  background: white;\\n}\\n.bk-root .slick-group-select-checkbox {\\n  width: 13px;\\n  height: 13px;\\n  margin: 3px 10px 0 0;\\n  display: inline-block;\\n}\\n.bk-root .slick-group-select-checkbox.checked {\\n  background: url(images/GrpCheckboxY.png) no-repeat center center;\\n}\\n.bk-root .slick-group-select-checkbox.unchecked {\\n  background: url(images/GrpCheckboxN.png) no-repeat center center;\\n}\\n.bk-root .slick-cell.selected {\\n  background-color: beige;\\n}\\n.bk-root .slick-cell.active {\\n  border-color: gray;\\n  border-style: solid;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver !important;\\n}\\n.bk-root .slick-row.odd {\\n  background: #fafafa;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row.loading {\\n  opacity: 0.5;\\n}\\n.bk-root .slick-cell.invalid {\\n  border-color: red;\\n  -moz-animation-duration: 0.2s;\\n  -webkit-animation-duration: 0.2s;\\n  -moz-animation-name: slickgrid-invalid-hilite;\\n  -webkit-animation-name: slickgrid-invalid-hilite;\\n}\\n@-moz-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n@-webkit-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n.bk-root .slick-column-name,\\n.bk-root .slick-sort-indicator {\\n  /**\\n   * This makes all \"float:right\" elements after it that spill over to the next line\\n   * display way below the lower boundary of the column thus hiding them.\\n   */\\n  display: inline-block;\\n  float: left;\\n  margin-bottom: 100px;\\n}\\n.bk-root .slick-header-button {\\n  display: inline-block;\\n  float: right;\\n  vertical-align: top;\\n  margin: 1px;\\n  /**\\n  * This makes all \"float:right\" elements after it that spill over to the next line\\n  * display way below the lower boundary of the column thus hiding them.\\n  */\\n  margin-bottom: 100px;\\n  height: 15px;\\n  width: 15px;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-button-hidden {\\n  width: 0;\\n  -webkit-transition: 0.2s width;\\n  -ms-transition: 0.2s width;\\n  transition: 0.2s width;\\n}\\n.bk-root .slick-header-column:hover > .slick-header-button {\\n  width: 15px;\\n}\\n.bk-root .slick-header-menubutton {\\n  position: absolute;\\n  right: 0;\\n  top: 0;\\n  bottom: 0;\\n  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border: 1px solid gray;\\n  border-top: 0;\\n  background: url(\\'../images/header-columns-bg.gif\\') repeat-x center bottom;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-status {\\n  display: inline-block;\\n  padding: 6px;\\n}\\n.bk-root .slick-pager .ui-icon-container {\\n  display: inline-block;\\n  margin: 2px;\\n  border-color: gray;\\n}\\n.bk-root .slick-pager .slick-pager-nav {\\n  display: inline-block;\\n  float: left;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings {\\n  display: block;\\n  float: right;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings * {\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-settings a {\\n  padding: 2px;\\n  text-decoration: underline;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-columns {\\n  background-image: 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o.source=\"function(\"+(n.variable||\"obj\")+\"){\\n\"+c+\"}\",o},e.exports=p},\n      465: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),o=t(462),n=t(440),l=r.__importStar(t(18)),a=t(24),d=t(71);class s extends d.Model{constructor(t){super(t)}static init_TableColumn(){this.define({field:[l.String],title:[l.String],width:[l.Number,300],formatter:[l.Instance,()=>new o.StringFormatter],editor:[l.Instance,()=>new n.StringEditor],sortable:[l.Boolean,!0],default_sort:[l.Sort,\"ascending\"]})}toColumn(){var t;return{id:a.uniqueId(),field:this.field,name:null!==(t=this.title)&&void 0!==t?t:this.field,width:this.width,formatter:null!=this.formatter?this.formatter.doFormat.bind(this.formatter):void 0,model:this.editor,editor:this.editor.default_view,sortable:this.sortable,defaultSortAsc:\"ascending\"==this.default_sort}}}i.TableColumn=s,s.__name__=\"TableColumn\",s.init_TableColumn()},\n      466: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=t(1),a=t(448),{Avg:i,Min:o,Max:g,Sum:n}=a.Data.Aggregators,u=r.__importStar(t(18)),c=t(71);class _ extends c.Model{constructor(t){super(t)}static init_RowAggregator(){this.define({field_:[u.String,\"\"]})}}s.RowAggregator=_,_.__name__=\"RowAggregator\",_.init_RowAggregator();const l=new i;class m extends _{constructor(){super(...arguments),this.key=\"avg\",this.init=l.init,this.accumulate=l.accumulate,this.storeResult=l.storeResult}}s.AvgAggregator=m,m.__name__=\"AvgAggregator\";const h=new o;class A extends _{constructor(){super(...arguments),this.key=\"min\",this.init=h.init,this.accumulate=h.accumulate,this.storeResult=h.storeResult}}s.MinAggregator=A,A.__name__=\"MinAggregator\";const R=new g;class d extends _{constructor(){super(...arguments),this.key=\"max\",this.init=R.init,this.accumulate=R.accumulate,this.storeResult=R.storeResult}}s.MaxAggregator=d,d.__name__=\"MaxAggregator\";const x=new n;class w extends _{constructor(){super(...arguments),this.key=\"sum\",this.init=x.init,this.accumulate=x.accumulate,this.storeResult=x.storeResult}}s.SumAggregator=w,w.__name__=\"SumAggregator\"},\n      467: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1).__importStar(t(18)),r=t(68),i=t(448),a=t(441),n=t(71);function l(t,e,s,o,i){const{collapsed:a,level:n,title:l}=i,u=r.span({class:\"slick-group-toggle \"+(a?\"collapsed\":\"expanded\"),style:{\"margin-left\":15*n+\"px\"}}),g=r.span({class:\"slick-group-title\",level:n},l);return`${u.outerHTML}${g.outerHTML}`}function u(t,e){const s=this.getDataItem(e.row);s instanceof i.Group&&t.target.classList.contains(\"slick-group-toggle\")&&(s.collapsed?this.getData().expandGroup(s.groupingKey):this.getData().collapseGroup(s.groupingKey),t.stopImmediatePropagation(),t.preventDefault(),this.invalidate(),this.render())}class g extends n.Model{constructor(t){super(t)}static init_GroupingInfo(){this.define({getter:[o.String,\"\"],aggregators:[o.Array,[]],collapsed:[o.Boolean,!1]})}get comparer(){return(t,e)=>t.value===e.value?0:t.value>e.value?1:-1}}s.GroupingInfo=g,g.__name__=\"GroupingInfo\",g.init_GroupingInfo();class c extends a.TableDataProvider{constructor(t,e,s,o){super(t,e),this.columns=s,this.groupingInfos=[],this.groupingDelimiter=\":|:\",this.target=o}setGrouping(t){this.groupingInfos=t,this.toggledGroupsByLevel=t.map(()=>({})),this.refresh()}extractGroups(t,e){const s=[],o=new Map,r=e?e.level+1:0,{comparer:a,getter:n}=this.groupingInfos[r];return t.forEach(t=>{const a=this.source.data[n][t];let l=o.get(a);if(!l){const t=e?`${e.groupingKey}${this.groupingDelimiter}${a}`:\"\"+a;l=Object.assign(new i.Group,{value:a,level:r,groupingKey:t}),s.push(l),o.set(a,l)}l.rows.push(t)}),r<this.groupingInfos.length-1&&s.forEach(t=>{t.groups=this.extractGroups(t.rows,t)}),s.sort(a),s}calculateTotals(t,e){const s={avg:{},max:{},min:{},sum:{}},{source:{data:o}}=this,r=Object.keys(o),i=t.rows.map(t=>r.reduce((e,s)=>Object.assign(Object.assign({},e),{[s]:o[s][t]}),{}));return e.forEach(t=>{t.init(),i.forEach(e=>t.accumulate(e)),t.storeResult(s)}),s}addTotals(t,e=0){const{aggregators:s,collapsed:o}=this.groupingInfos[e],r=this.toggledGroupsByLevel[e];t.forEach(t=>{t.groups&&this.addTotals(t.groups,e+1),s.length&&t.rows.length&&(t.totals=this.calculateTotals(t,s)),t.collapsed=o!==r[t.groupingKey],t.title=t.value?\"\"+t.value:\"\"})}flattenedGroupedRows(t,e=0){const s=[];return t.forEach(t=>{if(s.push(t),!t.collapsed){const o=t.groups?this.flattenedGroupedRows(t.groups,e+1):t.rows;s.push(...o)}}),s}refresh(){const t=this.extractGroups(this.view.indices),e=this.source.data[this.columns[0].field];t.length&&(this.addTotals(t),this.rows=this.flattenedGroupedRows(t),this.target.data={row_indices:this.rows.map(t=>t instanceof i.Group?t.rows:t),labels:this.rows.map(t=>t instanceof i.Group?t.title:e[t])})}getLength(){return this.rows.length}getItem(t){const e=this.rows[t],{source:{data:s}}=this;return e instanceof i.Group?e:Object.keys(s).reduce((t,o)=>Object.assign(Object.assign({},t),{[o]:s[o][e]}),{[a.DTINDEX_NAME]:e})}getItemMetadata(t){const e=this.rows[t],s=this.columns.slice(1),o=e instanceof i.Group?this.groupingInfos[e.level].aggregators:[];return e instanceof i.Group?{selectable:!1,focusable:!1,cssClasses:\"slick-group\",columns:[{formatter:l},...s.map((function(t){const{field:e,formatter:s}=t,r=o.find(({field_:t})=>t===e);if(r){const{key:t}=r;return{formatter:(o,r,i,a,n)=>s?s(o,r,n.totals[t][e],a,n):\"\"}}return{}}))]}:{}}collapseGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=!this.groupingInfos[e].collapsed,this.refresh()}expandGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=this.groupingInfos[e].collapsed,this.refresh()}}s.DataCubeProvider=c,c.__name__=\"DataCubeProvider\";class p extends a.DataTableView{render(){const t={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:!1,forceFitColumns:this.model.fit_columns,multiColumnSort:!1,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height},e=this.model.columns.map(t=>t.toColumn());var s,o;e[0].formatter=(s=e[0].formatter,o=this.model.grouping.length,(t,e,i,a,n)=>{const l=r.span({class:\"slick-group-toggle\",style:{\"margin-left\":15*(o||0)+\"px\"}}),u=s?s(t,e,i,a,n):\"\"+i;return`${l.outerHTML}${u&&u.replace(/^<div/,\"<span\").replace(/div>$/,\"span>\")}`}),delete e[0].editor,this.data=new c(this.model.source,this.model.view,e,this.model.target),this.data.setGrouping(this.model.grouping),this.el.style.width=this.model.width+\"px\",this.grid=new i.Grid(this.el,this.data,e,t),this.grid.onClick.subscribe(u)}}s.DataCubeView=p,p.__name__=\"DataCubeView\";class h extends a.DataTable{constructor(t){super(t)}static init_DataCube(){this.prototype.default_view=p,this.define({grouping:[o.Array,[]],target:[o.Instance]})}}s.DataCube=h,h.__name__=\"DataCube\",h.init_DataCube()},\n      }, 438, {\"models/widgets/tables/main\":438,\"models/widgets/tables/index\":439,\"models/widgets/tables/cell_editors\":440,\"models/widgets/tables/data_table\":441,\"models/widgets/tables/table_widget\":457,\"models/widgets/widget\":458,\"styles/widgets/tables\":459,\"styles/widgets/slickgrid.css\":460,\"styles/widgets/tables.css\":461,\"models/widgets/tables/cell_formatters\":462,\"models/widgets/tables/table_column\":465,\"models/widgets/tables/row_aggregators\":466,\"models/widgets/tables/data_cube\":467}, {});\n      })\n\n\n      /* END bokeh-tables.min.js */\n    },\n    \n    function(Bokeh) {\n      /* BEGIN bokeh-gl.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], \"2.1.1\");\n      })(this, function(Bokeh, version) {\n        var define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      370: function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(371)},\n      371: function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);\n      /*\n          Copyright notice: many of the awesome techniques and  GLSL code contained in\n          this module are based on work by Nicolas Rougier as part of the Glumpy and\n          Vispy projects. The algorithms are published in\n          http://jcgt.org/published/0003/04/01/ and http://jcgt.org/published/0002/02/08/\n          \n          This module contains all gl-specific code to add gl support for the glyphs.\n          By implementing it separetely, the GL functionality can be spun off in a\n          separate library.\n          Other locations where we work with GL, or prepare for GL-rendering:\n          - canvas.ts\n          - plot.ts\n          - glyph.ts\n          - glyph_renderer.ts\n          */o.__exportStar(e(372),_),o.__exportStar(e(377),_)},\n      372: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(373),a=t(374),n=t(375),_=t(376),o=t(20);class h{constructor(t){this._atlas={},this._index=0,this._width=256,this._height=256,this.tex=new i.Texture2D(t),this.tex.set_wrapping(t.REPEAT,t.REPEAT),this.tex.set_interpolation(t.NEAREST,t.NEAREST),this.tex.set_size([this._height,this._width],t.RGBA),this.tex.set_data([0,0],[this._height,this._width],new Uint8Array(this._height*this._width*4)),this.get_atlas_data([1])}get_atlas_data(t){const e=t.join(\"-\");if(void 0===this._atlas[e]){const[s,i]=this.make_pattern(t);this.tex.set_data([this._index,0],[1,this._width],new Uint8Array(s.map(t=>t+10))),this._atlas[e]=[this._index/this._height,i],this._index+=1}return this._atlas[e]}make_pattern(t){t.length>1&&t.length%2&&(t=t.concat(t));let e=0;for(const s of t)e+=s;const s=[];let i=0;for(let e=0,a=t.length+2;e<a;e+=2){const a=Math.max(1e-4,t[e%t.length]),n=Math.max(1e-4,t[(e+1)%t.length]);s.push(i,i+a),i+=a+n}const a=this._width,n=new Float32Array(4*a);for(let t=0,i=a;t<i;t++){let i,_,o;const h=e*t/(a-1);let r=0,l=1e16;for(let t=0,e=s.length;t<e;t++){const e=Math.abs(s[t]-h);e<l&&(r=t,l=e)}r%2==0?(o=h<=s[r]?1:0,_=s[r],i=s[r+1]):(o=h>s[r]?-1:0,_=s[r-1],i=s[r]),n[4*t+0]=s[r],n[4*t+1]=o,n[4*t+2]=_,n[4*t+3]=i}return[n,e]}}h.__name__=\"DashAtlas\";const r={miter:0,round:1,bevel:2},l={\"\":0,none:0,\".\":0,round:1,\")\":1,\"(\":1,o:1,\"triangle in\":2,\"<\":2,\"triangle out\":3,\">\":3,square:4,\"[\":4,\"]\":4,\"=\":4,butt:5,\"|\":5};class g extends a.BaseGLGlyph{init(){const{gl:t}=this;this._scale_aspect=0;const e=n.vertex_shader,s=_.fragment_shader;this.prog=new i.Program(t),this.prog.set_shaders(e,s),this.index_buffer=new i.IndexBuffer(t),this.vbo_position=new i.VertexBuffer(t),this.vbo_tangents=new i.VertexBuffer(t),this.vbo_segment=new i.VertexBuffer(t),this.vbo_angles=new i.VertexBuffer(t),this.vbo_texcoord=new i.VertexBuffer(t),this.dash_atlas=new h(t)}draw(t,e,s){const i=e.glglyph;if(i.data_changed){if(!isFinite(s.dx)||!isFinite(s.dy))return;i._baked_offset=[s.dx,s.dy],i._set_data(),i.data_changed=!1}this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);let{sx:a,sy:n}=s;const _=Math.sqrt(a*a+n*n);a/=_,n/=_,Math.abs(this._scale_aspect-n/a)>Math.abs(.001*this._scale_aspect)&&(i._update_scale(a,n),this._scale_aspect=n/a),this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord),this.prog.set_uniform(\"u_length\",\"float\",[i.cumsum]),this.prog.set_texture(\"u_dash_atlas\",this.dash_atlas.tex);const o=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[s.dx-o[0],s.dy-o[1]]),this.prog.set_uniform(\"u_scale_aspect\",\"vec2\",[a,n]),this.prog.set_uniform(\"u_scale_length\",\"float\",[_]),this.I_triangles=i.I_triangles,this.I_triangles.length<65535)this.index_buffer.set_size(2*this.I_triangles.length),this.index_buffer.set_data(0,new Uint16Array(this.I_triangles)),this.prog.draw(this.gl.TRIANGLES,this.index_buffer);else{t=Array.from(this.I_triangles);const e=this.I_triangles.length,s=64008,a=[];for(let t=0,i=Math.ceil(e/s);t<i;t++)a.push([]);for(let e=0,i=t.length;e<i;e++){const i=t[e]%s;a[Math.floor(t[e]/s)].push(i)}for(let t=0,e=a.length;t<e;t++){const e=new Uint16Array(a[t]),n=t*s*4;0!==e.length&&(this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position,0,2*n),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents,0,4*n),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment,0,2*n),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles,0,2*n),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord,0,2*n),this.index_buffer.set_size(2*e.length),this.index_buffer.set_data(0,e),this.prog.draw(this.gl.TRIANGLES,this.index_buffer))}}}_set_data(){this._bake(),this.vbo_position.set_size(4*this.V_position.length),this.vbo_position.set_data(0,this.V_position),this.vbo_tangents.set_size(4*this.V_tangents.length),this.vbo_tangents.set_data(0,this.V_tangents),this.vbo_angles.set_size(4*this.V_angles.length),this.vbo_angles.set_data(0,this.V_angles),this.vbo_texcoord.set_size(4*this.V_texcoord.length),this.vbo_texcoord.set_data(0,this.V_texcoord)}_set_visuals(){const t=o.color2rgba(this.glyph.visuals.line.line_color.value(),this.glyph.visuals.line.line_alpha.value()),e=l[this.glyph.visuals.line.line_cap.value()],s=r[this.glyph.visuals.line.line_join.value()];this.prog.set_uniform(\"u_color\",\"vec4\",t),this.prog.set_uniform(\"u_linewidth\",\"float\",[this.glyph.visuals.line.line_width.value()]),this.prog.set_uniform(\"u_antialias\",\"float\",[.9]),this.prog.set_uniform(\"u_linecaps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_linejoin\",\"float\",[s]),this.prog.set_uniform(\"u_miter_limit\",\"float\",[10]);const i=this.glyph.visuals.line.line_dash.value();let a=0,n=1;i.length&&([a,n]=this.dash_atlas.get_atlas_data(i)),this.prog.set_uniform(\"u_dash_index\",\"float\",[a]),this.prog.set_uniform(\"u_dash_phase\",\"float\",[this.glyph.visuals.line.line_dash_offset.value()]),this.prog.set_uniform(\"u_dash_period\",\"float\",[n]),this.prog.set_uniform(\"u_dash_caps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_closed\",\"float\",[0])}_bake(){let t,e,s,i,a,n,_,o;const h=this.nvertices,r=new Float64Array(this.glyph._x),l=new Float64Array(this.glyph._y),g=_=new Float32Array(2*h),f=new Float32Array(2*h),u=o=new Float32Array(4*h);for(let t=0,e=h;t<e;t++)g[2*t+0]=r[t]+this._baked_offset[0],g[2*t+1]=l[t]+this._baked_offset[1];this.tangents=e=new Float32Array(2*h-2);for(let t=0,s=h-1;t<s;t++)e[2*t+0]=_[2*(t+1)+0]-_[2*t+0],e[2*t+1]=_[2*(t+1)+1]-_[2*t+1];for(let t=0,s=h-1;t<s;t++)u[4*(t+1)+0]=e[2*t+0],u[4*(t+1)+1]=e[2*t+1],u[4*t+2]=e[2*t+0],u[4*t+3]=e[2*t+1];u[0]=e[0],u[1]=e[1],u[4*(h-1)+2]=e[2*(h-2)+0],u[4*(h-1)+3]=e[2*(h-2)+1];const c=new Float32Array(h);for(let t=0,e=h;t<e;t++)c[t]=Math.atan2(o[4*t+0]*o[4*t+3]-o[4*t+1]*o[4*t+2],o[4*t+0]*o[4*t+2]+o[4*t+1]*o[4*t+3]);for(let t=0,e=h-1;t<e;t++)f[2*t+0]=c[t],f[2*t+1]=c[t+1];const d=4*h-4;this.V_position=i=new Float32Array(2*d),this.V_angles=s=new Float32Array(2*d),this.V_tangents=a=new Float32Array(4*d),this.V_texcoord=n=new Float32Array(2*d);for(let t=0,e=h;t<e;t++)for(let e=0;e<4;e++){for(let a=0;a<2;a++)i[2*(4*t+e-2)+a]=g[2*t+a],s[2*(4*t+e)+a]=f[2*t+a];for(let s=0;s<4;s++)a[4*(4*t+e-2)+s]=u[4*t+s]}for(let t=0,e=h;t<e;t++)n[2*(4*t+0)+0]=-1,n[2*(4*t+1)+0]=-1,n[2*(4*t+2)+0]=1,n[2*(4*t+3)+0]=1,n[2*(4*t+0)+1]=-1,n[2*(4*t+1)+1]=1,n[2*(4*t+2)+1]=-1,n[2*(4*t+3)+1]=1;const p=6*(h-1);this.I_triangles=t=new Uint32Array(p);for(let e=0,s=h;e<s;e++)t[6*e+0]=0+4*e,t[6*e+1]=1+4*e,t[6*e+2]=3+4*e,t[6*e+3]=2+4*e,t[6*e+4]=0+4*e,t[6*e+5]=3+4*e}_update_scale(t,e){let s;const i=this.nvertices,a=4*i-4,n=this.tangents,_=new Float32Array(i-1),o=new Float32Array(2*i);this.V_segment=s=new Float32Array(2*a);for(let s=0,a=i-1;s<a;s++)_[s]=Math.sqrt((n[2*s+0]*t)**2+(n[2*s+1]*e)**2);let h=0;for(let t=0,e=i-1;t<e;t++)h+=_[t],o[2*(t+1)+0]=h,o[2*t+1]=h;for(let t=0,e=i;t<e;t++)for(let e=0;e<4;e++)for(let i=0;i<2;i++)s[2*(4*t+e)+i]=o[2*t+i];this.cumsum=h,this.vbo_segment.set_size(4*this.V_segment.length),this.vbo_segment.set_data(0,this.V_segment)}}s.LineGLGlyph=g,g.__name__=\"LineGLGlyph\"},\n      373: function _(t,e,r){var n,o,i,a,s,l,h,u,c,_=function(t,e){return Array.isArray(t)&&Array.isArray(e)?t.concat(e):t+e},f=function(t,e){if(null==e);else{if(Array.isArray(e)){for(var r=0;r<e.length;r++)if(p(t,e[r]))return!0;return!1}if(e.constructor===Object){for(var n in e)if(t==n)return!0;return!1}if(e.constructor==String)return e.indexOf(t)>=0}var o=Error(\"Not a container: \"+e);throw o.name=\"TypeError\",o},p=function t(e,r){if(null==e||null==r);else{if(Array.isArray(e)&&Array.isArray(r)){for(var n=0,o=e.length==r.length;o&&n<e.length;)o=t(e[n],r[n]),n+=1;return o}if(e.constructor===Object&&r.constructor===Object){var i=Object.keys(e),a=Object.keys(r);i.sort(),a.sort();var s;for(n=0,o=t(i,a);o&&n<i.length;)o=t(e[s=i[n]],r[s]),n+=1;return o}}return e==r},d=function(t,e){if(void 0===t||\"undefined\"!=typeof window&&window===t||\"undefined\"!=typeof global&&global===t)throw\"Class constructor is called as a function.\";for(var r in t)void 0!==Object[r]||\"function\"!=typeof t[r]||t[r].nobind||(t[r]=t[r].bind(t));t.__init__&&t.__init__.apply(t,e)},y=function(t,e){if((\"number\"==typeof t)+(\"number\"==typeof e)===1){if(t.constructor===String)return A.call(t,e);if(e.constructor===String)return A.call(e,t);if(Array.isArray(e)){var r=t;t=e,e=r}if(Array.isArray(t)){for(var n=[],o=0;o<e;o++)n=n.concat(t);return n}}return t*e},g=function(t){return null===t||\"object\"!=typeof t?t:void 0!==t.length?!!t.length&&t:void 0!==t.byteLength?!!t.byteLength&&t:t.constructor!==Object||!!Object.getOwnPropertyNames(t).length&&t},v=function(t){if(!Array.isArray(this))return this.append.apply(this,arguments);this.push(t)},m=function(t,e){return this.constructor!==Object?this.get.apply(this,arguments):void 0!==this[t]?this[t]:void 0!==e?e:null},x=function(){return\"function\"==typeof this.keys?this.keys.apply(this,arguments):Object.keys(this)},b=function(t){if(this.constructor!==String)return this.lstrip.apply(this,arguments);t=void 0===t?\" \\t\\r\\n\":t;for(var e=0;e<this.length;e++)if(t.indexOf(this[e])<0)return this.slice(e);return\"\"},E=function(t){if(!Array.isArray(this))return this.remove.apply(this,arguments);for(var e=0;e<this.length;e++)if(p(this[e],t))return void this.splice(e,1);var r=Error(t);throw r.name=\"ValueError\",r},A=function(t){if(this.repeat)return this.repeat(t);if(t<1)return\"\";for(var e=\"\",r=this.valueOf();t>1;)1&t&&(e+=r),t>>=1,r+=r;return e+r},w=function(t){return this.constructor!==String?this.startswith.apply(this,arguments):0==this.indexOf(t)};c=window.console,u=function(t,e){var r,n,o,i,a,s,l;for(e=void 0===e?\"periodic check\":e,i=[];n=t.getError(),!(p(n,t.NO_ERROR)||g(i)&&p(n,i[i.length-1]));)v.call(i,n);if(i.length){for(a=\"\",\"object\"!=typeof(s=i)||Array.isArray(s)||(s=Object.keys(s)),l=0;l<s.length;l+=1)r=s[l],a=_(a,r);throw(o=new Error(\"RuntimeError:OpenGL got errors (\"+e+\"): \"+a)).name=\"RuntimeError\",o}return null},(o=function(){d(this,arguments)}).prototype._base_class=Object,o.prototype._class_name=\"GlooObject\",o.prototype.__init__=function(t){if(this._gl=t,this.handle=null,this._create(),null===this.handle)throw\"AssertionError: this.handle !== null\";return null},o.prototype._create=function(){var t;throw(t=new Error(\"NotImplementedError:\")).name=\"NotImplementedError\",t},((a=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,a.prototype._class_name=\"Program\",a.prototype.UTYPEMAP={float:\"uniform1fv\",vec2:\"uniform2fv\",vec3:\"uniform3fv\",vec4:\"uniform4fv\",int:\"uniform1iv\",ivec2:\"uniform2iv\",ivec3:\"uniform3iv\",ivec4:\"uniform4iv\",bool:\"uniform1iv\",bvec2:\"uniform2iv\",bvec3:\"uniform3iv\",bvec4:\"uniform4iv\",mat2:\"uniformMatrix2fv\",mat3:\"uniformMatrix3fv\",mat4:\"uniformMatrix4fv\",sampler1D:\"uniform1i\",sampler2D:\"uniform1i\",sampler3D:\"uniform1i\"},a.prototype.ATYPEMAP={float:\"vertexAttrib1f\",vec2:\"vertexAttrib2f\",vec3:\"vertexAttrib3f\",vec4:\"vertexAttrib4f\"},a.prototype.ATYPEINFO={float:[1,5126],vec2:[2,5126],vec3:[3,5126],vec4:[4,5126]},a.prototype._create=function(){return this.handle=this._gl.createProgram(),this.locations={},this._unset_variables=[],this._validated=!1,this._samplers={},this._attributes={},this._known_invalid=[],null},a.prototype.delete=function(){return this._gl.deleteProgram(this.handle),null},a.prototype.activate=function(){return this._gl.useProgram(this.handle),null},a.prototype.deactivate=function(){return this._gl.useProgram(0),null},a.prototype.set_shaders=function(t,e){var r,n,o,i,a,s,l,h,u,c,f,p,d;for(s=this._gl,this._linked=!1,f=[[t,d=s.createShader(s.VERTEX_SHADER),\"vertex\"],[e,a=s.createShader(s.FRAGMENT_SHADER),\"fragment\"]],h=0;h<2;h+=1)if(r=(c=f[h])[0],l=c[1],p=c[2],s.shaderSource(l,r),s.compileShader(l),u=s.getShaderParameter(l,s.COMPILE_STATUS),!g(u))throw i=s.getShaderInfoLog(l),(o=new Error(\"RuntimeError:\"+_(\"errors in \"+p+\" shader:\\n\",i))).name=\"RuntimeError\",o;if(s.attachShader(this.handle,d),s.attachShader(this.handle,a),s.linkProgram(this.handle),!g(s.getProgramParameter(this.handle,s.LINK_STATUS)))throw(n=new Error(\"RuntimeError:Program link error:\\n\"+s.getProgramInfoLog(this.handle))).name=\"RuntimeError\",n;return this._unset_variables=this._get_active_attributes_and_uniforms(),s.detachShader(this.handle,d),s.detachShader(this.handle,a),s.deleteShader(d),s.deleteShader(a),this._known_invalid=[],this._linked=!0,null},a.prototype._get_active_attributes_and_uniforms=function(){var t,e,r,n,o,i,a,s,l,h,u,c,f,p,d,y,m,x;for(s=this._gl,this.locations={},p=new window.RegExp(\"(\\\\w+)\\\\s*(\\\\[(\\\\d+)\\\\])\\\\s*\"),o=s.getProgramParameter(this.handle,s.ACTIVE_UNIFORMS),e=s.getProgramParameter(this.handle,s.ACTIVE_ATTRIBUTES),x=[],\"object\"!=typeof(y=[[t=[],e,s.getActiveAttrib,s.getAttribLocation],[x,o,s.getActiveUniform,s.getUniformLocation]])||Array.isArray(y)||(y=Object.keys(y)),m=0;m<y.length;m+=1)for(r=(d=y[m])[0],n=d[1],i=d[2],a=d[3],l=0;l<n;l+=1){if(c=(f=(h=i.call(s,this.handle,l)).name).match(p),g(c))for(f=c[1],u=0;u<h.size;u+=1)v.call(r,[f+\"[\"+u+\"]\",h.type]);else v.call(r,[f,h.type]);this.locations[f]=a.call(s,this.handle,f)}return _(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(e[0]);return o}.apply(this),function(){var t,e,r,n=[];for(\"object\"!=typeof(e=x)||Array.isArray(e)||(e=Object.keys(e)),r=0;r<e.length;r++)t=e[r],n.push(t[0]);return n}.apply(this))},a.prototype.set_texture=function(t,e){var r,n,o;if(!g(this._linked))throw(r=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",r;return n=m.call(this.locations,t,-1),g(n<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active texture\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),o=x.call(this._samplers).length,f(t,this._samplers)&&(o=this._samplers[t][this._samplers[t].length-1]),this._samplers[t]=[e._target,e.handle,o],this._gl.uniform1i(n,o),null)},a.prototype.set_uniform=function(t,e,r){var n,o,i,a,s,l,h;if(!g(this._linked))throw(i=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",i;if(s=m.call(this.locations,t,-1),g(s<0))return f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active uniform\")),null;if(f(t,this._unset_variables)&&E.call(this._unset_variables,t),o=1,w.call(e,\"mat\")||(n=m.call({int:\"float\",bool:\"float\"},e,b.call(e,\"ib\")),o=Math.floor(r.length/this.ATYPEINFO[n][0])),g(o>1))for(l=0;l<o;l+=1)f(t+\"[\"+l+\"]\",this._unset_variables)&&f(h=t+\"[\"+l+\"]\",this._unset_variables)&&E.call(this._unset_variables,h);return a=this.UTYPEMAP[e],this.activate(),w.call(e,\"mat\")?this._gl[a](s,!1,r):this._gl[a](s,r),null},a.prototype.set_attribute=function(t,e,r,n,o){var i,a,s,l,u,_;if(n=void 0===n?0:n,o=void 0===o?0:o,!g(this._linked))throw(a=new Error(\"RuntimeError:Cannot set attribute when program has no code\")).name=\"RuntimeError\",a;return u=r instanceof h,l=m.call(this.locations,t,-1),g(l<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),g(u)&&g(o>0)||c.log(\"Variable \"+t+\" is not an active attribute\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),g(u)?(s=\"vertexAttribPointer\",i=[(_=this.ATYPEINFO[e])[0],_[1],this._gl.FALSE,n,o],this._attributes[t]=[r.handle,l,s,i]):(s=this.ATYPEMAP[e],this._attributes[t]=[0,l,s,r]),null)},a.prototype._pre_draw=function(){var t,e,r,n,o,i,a,s,l,h,u,c;for(c in this.activate(),a=this._samplers)a.hasOwnProperty(c)&&(l=(i=c=a[c])[0],s=i[1],h=i[2],this._gl.activeTexture(_(this._gl.TEXTURE0,h)),this._gl.bindTexture(l,s));for(c in o=this._attributes)o.hasOwnProperty(c)&&(u=(n=c=o[c])[0],e=n[1],r=n[2],t=n[3],g(u)?(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,u),this._gl.enableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))):(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,null),this._gl.disableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))));return g(this._validated)||(this._validated=!0,this._validate()),null},a.prototype._validate=function(){var t;if(this._unset_variables.length&&c.log(\"Program has unset variables: \"+this._unset_variables),this._gl.validateProgram(this.handle),!g(this._gl.getProgramParameter(this.handle,this._gl.VALIDATE_STATUS)))throw c.log(this._gl.getProgramInfoLog(this.handle)),(t=new Error(\"RuntimeError:Program validation error\")).name=\"RuntimeError\",t;return null},a.prototype.draw=function(t,e){var r,n,o,a,s;if(!g(this._linked))throw(n=new Error(\"RuntimeError:Cannot draw program if code has not been set\")).name=\"RuntimeError\",n;return u(this._gl,\"before draw\"),g(e instanceof i)?(this._pre_draw(),e.activate(),r=e._buffer_size/2,a=this._gl.UNSIGNED_SHORT,this._gl.drawElements(t,r,a,0),e.deactivate()):(o=(s=e)[0],r=s[1],g(r)&&(this._pre_draw(),this._gl.drawArrays(t,o,r))),u(this._gl,\"after draw\"),null},((n=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,n.prototype._class_name=\"Buffer\",n.prototype._target=null,n.prototype._usage=35048,n.prototype._create=function(){return this.handle=this._gl.createBuffer(),this._buffer_size=0,null},n.prototype.delete=function(){return this._gl.deleteBuffer(this.handle),null},n.prototype.activate=function(){return this._gl.bindBuffer(this._target,this.handle),null},n.prototype.deactivate=function(){return this._gl.bindBuffer(this._target,null),null},n.prototype.set_size=function(t){return p(t,this._buffer_size)||(this.activate(),this._gl.bufferData(this._target,t,this._usage),this._buffer_size=t),null},n.prototype.set_data=function(t,e){return this.activate(),this._gl.bufferSubData(this._target,t,e),null},(h=function(){d(this,arguments)}).prototype=Object.create(n.prototype),h.prototype._base_class=n.prototype,h.prototype._class_name=\"VertexBuffer\",h.prototype._target=34962,(i=function(){d(this,arguments)}).prototype=Object.create(n.prototype),i.prototype._base_class=n.prototype,i.prototype._class_name=\"IndexBuffer\",i.prototype._target=34963,((s=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,s.prototype._class_name=\"Texture2D\",s.prototype._target=3553,s.prototype._types={Int8Array:5120,Uint8Array:5121,Int16Array:5122,Uint16Array:5123,Int32Array:5124,Uint32Array:5125,Float32Array:5126},s.prototype._create=function(){return this.handle=this._gl.createTexture(),this._shape_format=null,null},s.prototype.delete=function(){return this._gl.deleteTexture(this.handle),null},s.prototype.activate=function(){return this._gl.bindTexture(this._target,this.handle),null},s.prototype.deactivate=function(){return this._gl.bindTexture(this._target,0),null},s.prototype._get_alignment=function(t){var e,r,n;for(\"object\"!=typeof(r=[4,8,2,1])||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n+=1)if(e=r[n],p(t%e,0))return e;return null},s.prototype.set_wrapping=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_S,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_T,e),null},s.prototype.set_interpolation=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_MIN_FILTER,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_MAG_FILTER,e),null},s.prototype.set_size=function(t,e){var r,n,o;return r=(n=t)[0],o=n[1],p([r,o,e],this._shape_format)||(this._shape_format=[r,o,e],this.activate(),this._gl.texImage2D(this._target,0,e,o,r,0,e,this._gl.UNSIGNED_BYTE,null)),this.u_shape=[r,o],null},s.prototype.set_data=function(t,e,r){var n,o,i,a,s,l,h,u,c,_;if(p(e.length,2)&&(e=[e[0],e[1],1]),this.activate(),i=this._shape_format[2],s=(l=e)[0],u=l[1],l[2],_=(h=t)[0],c=h[1],null===(a=m.call(this._types,r.constructor.name,null)))throw(o=new Error(\"ValueError:Type \"+r.constructor.name+\" not allowed for texture\")).name=\"ValueError\",o;return n=this._get_alignment(y(e[e.length-2],e[e.length-1])),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,n),this._gl.texSubImage2D(this._target,0,c,_,u,s,i,a,r),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,4),null},((l=function(){d(this,arguments)}).prototype=Object.create(s.prototype))._base_class=s.prototype,l.prototype._class_name=\"Texture3DLike\",l.prototype.GLSL_SAMPLE_NEAREST=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float zindex = floor(texcoord.z * shape.z);\\n\\n            // Do a lookup in the 2D texture\\n            float u = (mod(zindex, ncols) + texcoord.x) / ncols;\\n            float v = (floor(zindex / ncols) + texcoord.y) / nrows;\\n\\n            return texture2D(tex, vec2(u,v));\\n        }\\n    \",l.prototype.GLSL_SAMPLE_LINEAR=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float z = texcoord.z * shape.z;\\n            float zindex1 = floor(z);\\n            float u1 = (mod(zindex1, ncols) + texcoord.x) / ncols;\\n            float v1 = (floor(zindex1 / ncols) + texcoord.y) / nrows;\\n\\n            float zindex2 = zindex1 + 1.0;\\n            float u2 = (mod(zindex2, ncols) + texcoord.x) / ncols;\\n            float v2 = (floor(zindex2 / ncols) + texcoord.y) / nrows;\\n\\n            vec4 s1 = texture2D(tex, vec2(u1, v1));\\n            vec4 s2 = texture2D(tex, vec2(u2, v2));\\n\\n            return s1 * (zindex2 - z) + s2 * (z - zindex1);\\n        }\\n    \",l.prototype._get_tile_info=function(t){var e,r,n,o;if(r=this._gl.getParameter(this._gl.MAX_TEXTURE_SIZE),o=Math.floor(r/t[1]),o=Math.min(o,t[0]),n=window.Math.ceil(t[0]/o),g(y(n,t[2])>r))throw(e=new Error(\"RuntimeError:Cannot fit 3D data with shape \"+t+\" onto simulated 2D texture.\")).name=\"RuntimeError\",e;return[o,n]},l.prototype.set_size=function(t,e){var r,n,o,i;return n=(i=this._get_tile_info(t))[0],r=i[1],o=[y(t[1],n),y(t[2],r)],l.prototype._base_class.set_size.call(this,o,e),this.u_shape=[t[0],t[1],t[2]],this.u_tiles=[r,n],null},l.prototype.set_data=function(t,e,r){var n,o,i,a,s,h,u,c,_,f,d,v;if(p(e.length,3)&&(e=[e[0],e[1],e[2],1]),!function(t){for(var e=0;e<t.length;e++)if(!g(t[e]))return!1;return!0}(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(p(e,0));return o}.apply(this)))throw(i=new Error(\"ValueError:Texture3DLike does not support nonzero offset (for now)\")).name=\"ValueError\",i;if(s=(c=this._get_tile_info(e))[0],a=c[1],u=[y(e[1],s),y(e[2],a),e[3]],p(a,1))l.prototype._base_class.set_data.call(this,[0,0],u,r);else for(v=new(0,r.constructor)(y(y(u[0],u[1]),u[2])),l.prototype._base_class.set_data.call(this,[0,0],u,v),d=0;d<e[0];d+=1)h=(_=[Math.floor(d/a),d%a])[0],n=_[1],o=Math.floor(r.length/e[0]),f=r.slice(y(d,o),y(d+1,o)),l.prototype._base_class.set_data.call(this,[y(h,e[1]),y(n,e[2])],e.slice(1),f);return null},e.exports={Buffer:n,GlooObject:o,IndexBuffer:i,Program:a,Texture2D:s,Texture3DLike:l,VertexBuffer:h,check_error:u,console:c}},\n      374: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(20),s=e(72);class i{constructor(e,t){this.gl=e,this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.init()}set_data_changed(e){e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,a){if(0==t.length)return!0;const[r,i,n]=[0,1,2];let l=1,h=1,[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]);if(isNaN(o[0]+o[1]+o[2]+_[0]+_[1]+_[2]))return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;if(l=100/Math.min(Math.max(Math.abs(o[1]-o[0]),1e-12),1e12),h=100/Math.min(Math.max(Math.abs(_[1]-_[0]),1e-12),1e12),[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]),Math.abs(o[1]-o[0]-(o[2]-o[1]))>1e-6||Math.abs(_[1]-_[0]-(_[2]-_[1]))>1e-6)return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;const[c,u]=[(o[1]-o[0])/l,(_[1]-_[0])/h],{width:d,height:g}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,f={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:d,height:g,dx:o[0]/c,dy:_[0]/u,sx:c,sy:u};return this.draw(t,a,f),!0}}function n(e,t){const a=new Float32Array(e);for(let r=0,s=e;r<s;r++)a[r]=t;return a}function l(e,t){return void 0!==e[t].spec.value}a.BaseGLGlyph=i,i.__name__=\"BaseGLGlyph\",a.line_width=function(e){return e<2&&(e=Math.sqrt(2*e)),e},a.fill_array_with_float=n,a.fill_array_with_vec=function(e,t,a){const r=new Float32Array(e*t);for(let s=0;s<e;s++)for(let e=0;e<t;e++)r[s*t+e]=a[e];return r},a.visual_prop_is_singular=l,a.attach_float=function(e,t,a,r,s,i){if(s.doit)if(l(s,i))t.used=!1,e.set_attribute(a,\"float\",s[i].value());else{t.used=!0;const n=new Float32Array(s.get_array(i));t.set_size(4*r),t.set_data(0,n),e.set_attribute(a,\"float\",t)}else t.used=!1,e.set_attribute(a,\"float\",[0])},a.attach_color=function(e,t,a,s,i,h){let o;const _=h+\"_color\",c=h+\"_alpha\";if(i.doit)if(l(i,_)&&l(i,c))t.used=!1,o=r.color2rgba(i[_].value(),i[c].value()),e.set_attribute(a,\"vec4\",o);else{let h,u;t.used=!0,u=l(i,_)?(()=>{const e=[];for(let t=0,a=s;t<a;t++)e.push(i[_].value());return e})():i.get_array(_),h=l(i,c)?n(s,i[c].value()):i.get_array(c);const d=new Float32Array(4*s);for(let e=0,t=s;e<t;e++){o=r.color2rgba(u[e],h[e]);for(let t=0,a=4;t<a;t++)d[4*e+t]=o[t]}t.set_size(4*s*4),t.set_data(0,d),e.set_attribute(a,\"vec4\",t)}else t.used=!1,e.set_attribute(a,\"vec4\",[0,0,0,0])}},\n      375: function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.vertex_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size, u_offset;\\nuniform vec2 u_scale_aspect;\\nuniform float u_scale_length;\\n\\nuniform vec4 u_color;\\nuniform float u_antialias;\\nuniform float u_length;\\nuniform float u_linewidth;\\nuniform float u_dash_index;\\nuniform float u_closed;\\n\\nattribute vec2 a_position;\\nattribute vec4 a_tangents;\\nattribute vec2 a_segment;\\nattribute vec2 a_angles;\\nattribute vec2 a_texcoord;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\nfloat cross(in vec2 v1, in vec2 v2)\\n{\\n    return v1.x*v2.y - v1.y*v2.x;\\n}\\n\\nfloat signed_distance(in vec2 v1, in vec2 v2, in vec2 v3)\\n{\\n    return cross(v2-v1,v1-v3) / length(v2-v1);\\n}\\n\\nvoid rotate( in vec2 v, in float alpha, out vec2 result )\\n{\\n    float c = cos(alpha);\\n    float s = sin(alpha);\\n    result = vec2( c*v.x - s*v.y,\\n                   s*v.x + c*v.y );\\n}\\n\\nvoid main()\\n{\\n    bool closed = (u_closed > 0.0);\\n\\n    // Attributes and uniforms to varyings\\n    v_color = u_color;\\n    v_linewidth = u_linewidth;\\n    v_segment = a_segment * u_scale_length;\\n    v_length = u_length * u_scale_length;\\n\\n    // Scale to map to pixel coordinates. The original algorithm from the paper\\n    // assumed isotropic scale. We obviously do not have this.\\n    vec2 abs_scale_aspect = abs(u_scale_aspect);\\n    vec2 abs_scale = u_scale_length * abs_scale_aspect;\\n\\n    // Correct angles for aspect ratio\\n    vec2 av;\\n    av = vec2(1.0, tan(a_angles.x)) / abs_scale_aspect;\\n    v_angles.x = atan(av.y, av.x);\\n    av = vec2(1.0, tan(a_angles.y)) / abs_scale_aspect;\\n    v_angles.y = atan(av.y, av.x);\\n\\n    // Thickness below 1 pixel are represented using a 1 pixel thickness\\n    // and a modified alpha\\n    v_color.a = min(v_linewidth, v_color.a);\\n    v_linewidth = max(v_linewidth, 1.0);\\n\\n    // If color is fully transparent we just will discard the fragment anyway\\n    if( v_color.a <= 0.0 ) {\\n        gl_Position = vec4(0.0,0.0,0.0,1.0);\\n        return;\\n    }\\n\\n    // This is the actual half width of the line\\n    float w = ceil(u_antialias+v_linewidth)/2.0;\\n\\n    vec2 position = (a_position + u_offset) * abs_scale;\\n\\n    vec2 t1 = normalize(a_tangents.xy * abs_scale_aspect);  // note the scaling for aspect ratio here\\n    vec2 t2 = normalize(a_tangents.zw * abs_scale_aspect);\\n    float u = a_texcoord.x;\\n    float v = a_texcoord.y;\\n    vec2 o1 = vec2( +t1.y, -t1.x);\\n    vec2 o2 = vec2( +t2.y, -t2.x);\\n\\n    // This is a join\\n    // ----------------------------------------------------------------\\n    if( t1 != t2 ) {\\n        float angle = atan (t1.x*t2.y-t1.y*t2.x, t1.x*t2.x+t1.y*t2.y);  // Angle needs recalculation for some reason\\n        vec2 t  = normalize(t1+t2);\\n        vec2 o  = vec2( + t.y, - t.x);\\n\\n        if ( u_dash_index > 0.0 )\\n        {\\n            // Broken angle\\n            // ----------------------------------------------------------------\\n            if( (abs(angle) > THETA) ) {\\n                position += v * w * o / cos(angle/2.0);\\n                float s = sign(angle);\\n                if( angle < 0.0 ) {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position -= 2.0 * w * t1 / sin(angle);\\n                            u -= 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position += 2.0 * w * t2 / sin(angle);\\n                            u += 2.0*w / sin(angle);\\n                        }\\n                    }\\n                } else {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position += 2.0 * w * t1 / sin(angle);\\n                            u += 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position -= 2.0 * w * t2 / sin(angle);\\n                            u -= 2.0*w / sin(angle);\\n                        }\\n                    }\\n                }\\n                // Continuous angle\\n                // ------------------------------------------------------------\\n            } else {\\n                position += v * w * o / cos(angle/2.0);\\n                if( u == +1.0 ) u = v_segment.y;\\n                else            u = v_segment.x;\\n            }\\n        }\\n\\n        // Solid line\\n        // --------------------------------------------------------------------\\n        else\\n        {\\n            position.xy += v * w * o / cos(angle/2.0);\\n            if( angle < 0.0 ) {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            } else {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            }\\n        }\\n\\n    // This is a line start or end (t1 == t2)\\n    // ------------------------------------------------------------------------\\n    } else {\\n        position += v * w * o1;\\n        if( u == -1.0 ) {\\n            u = v_segment.x - w;\\n            position -= w * t1;\\n        } else {\\n            u = v_segment.y + w;\\n            position += w * t2;\\n        }\\n    }\\n\\n    // Miter distance\\n    // ------------------------------------------------------------------------\\n    vec2 t;\\n    vec2 curr = a_position * abs_scale;\\n    if( a_texcoord.x < 0.0 ) {\\n        vec2 next = curr + t2*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, +v_angles.x/2.0, t);\\n        v_miter.x = signed_distance(curr, curr+t, position);\\n\\n        rotate( t2, +v_angles.y/2.0, t);\\n        v_miter.y = signed_distance(next, next+t, position);\\n    } else {\\n        vec2 prev = curr - t1*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, -v_angles.x/2.0,t);\\n        v_miter.x = signed_distance(prev, prev+t, position);\\n\\n        rotate( t2, -v_angles.y/2.0,t);\\n        v_miter.y = signed_distance(curr, curr+t, position);\\n    }\\n\\n    if (!closed && v_segment.x <= 0.0) {\\n        v_miter.x = 1e10;\\n    }\\n    if (!closed && v_segment.y >= v_length)\\n    {\\n        v_miter.y = 1e10;\\n    }\\n\\n    v_texcoord = vec2( u, v*w );\\n\\n    // Calculate position in device coordinates. Note that we\\n    // already scaled with abs scale above.\\n    vec2 normpos = position * sign(u_scale_aspect);\\n    normpos += 0.5;  // make up for Bokeh's offset\\n    normpos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(normpos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n}\\n\"},\n      376: function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0}),e.fragment_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform sampler2D u_dash_atlas;\\n\\nuniform vec2 u_linecaps;\\nuniform float u_miter_limit;\\nuniform float u_linejoin;\\nuniform float u_antialias;\\nuniform float u_dash_phase;\\nuniform float u_dash_period;\\nuniform float u_dash_index;\\nuniform vec2 u_dash_caps;\\nuniform float u_closed;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\n// Compute distance to cap ----------------------------------------------------\\nfloat cap( int type, float dx, float dy, float t, float linewidth )\\n{\\n    float d = 0.0;\\n    dx = abs(dx);\\n    dy = abs(dy);\\n    if      (type == 0)  discard;  // None\\n    else if (type == 1)  d = sqrt(dx*dx+dy*dy);  // Round\\n    else if (type == 3)  d = (dx+abs(dy));  // Triangle in\\n    else if (type == 2)  d = max(abs(dy),(t+dx-abs(dy)));  // Triangle out\\n    else if (type == 4)  d = max(dx,dy);  // Square\\n    else if (type == 5)  d = max(dx+t,dy);  // Butt\\n    return d;\\n}\\n\\n// Compute distance to join -------------------------------------------------\\nfloat join( in int type, in float d, in vec2 segment, in vec2 texcoord, in vec2 miter,\\n           in float linewidth )\\n{\\n    // texcoord.x is distance from start\\n    // texcoord.y is distance from centerline\\n    // segment.x and y indicate the limits (as for texcoord.x) for this segment\\n\\n    float dx = texcoord.x;\\n\\n    // Round join\\n    if( type == 1 ) {\\n        if (dx < segment.x) {\\n            d = max(d,length( texcoord - vec2(segment.x,0.0)));\\n            //d = length( texcoord - vec2(segment.x,0.0));\\n        } else if (dx > segment.y) {\\n            d = max(d,length( texcoord - vec2(segment.y,0.0)));\\n            //d = length( texcoord - vec2(segment.y,0.0));\\n        }\\n    }\\n    // Bevel join\\n    else if ( type == 2 ) {\\n        if (dx < segment.x) {\\n            vec2 x = texcoord - vec2(segment.x,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n\\n        } else if (dx > segment.y) {\\n            vec2 x = texcoord - vec2(segment.y,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n        }\\n        /*  Original code for bevel which does not work for us\\n        if( (dx < segment.x) ||  (dx > segment.y) )\\n            d = max(d, min(abs(x.x),abs(x.y)));\\n        */\\n    }\\n\\n    return d;\\n}\\n\\nvoid main()\\n{\\n    // If color is fully transparent we just discard the fragment\\n    if( v_color.a <= 0.0 ) {\\n        discard;\\n    }\\n\\n    // Test if dash pattern is the solid one (0)\\n    bool solid =  (u_dash_index == 0.0);\\n\\n    // Test if path is closed\\n    bool closed = (u_closed > 0.0);\\n\\n    vec4 color = v_color;\\n    float dx = v_texcoord.x;\\n    float dy = v_texcoord.y;\\n    float t = v_linewidth/2.0-u_antialias;\\n    float width = 1.0;  //v_linewidth; original code had dashes scale with line width, we do not\\n    float d = 0.0;\\n\\n    vec2 linecaps = u_linecaps;\\n    vec2 dash_caps = u_dash_caps;\\n    float line_start = 0.0;\\n    float line_stop = v_length;\\n\\n    // Apply miter limit; fragments too far into the miter are simply discarded\\n    if( (dx < v_segment.x) || (dx > v_segment.y) ) {\\n        float into_miter = max(v_segment.x - dx, dx - v_segment.y);\\n        if (into_miter > u_miter_limit*v_linewidth/2.0)\\n          discard;\\n    }\\n\\n    // Solid line --------------------------------------------------------------\\n    if( solid ) {\\n        d = abs(dy);\\n        if( (!closed) && (dx < line_start) ) {\\n            d = cap( int(u_linecaps.x), abs(dx), abs(dy), t, v_linewidth );\\n        }\\n        else if( (!closed) &&  (dx > line_stop) ) {\\n            d = cap( int(u_linecaps.y), abs(dx)-line_stop, abs(dy), t, v_linewidth );\\n        }\\n        else {\\n            d = join( int(u_linejoin), abs(dy), v_segment, v_texcoord, v_miter, v_linewidth );\\n        }\\n\\n    // Dash line --------------------------------------------------------------\\n    } else {\\n        float segment_start = v_segment.x;\\n        float segment_stop  = v_segment.y;\\n        float segment_center= (segment_start+segment_stop)/2.0;\\n        float freq          = u_dash_period*width;\\n        float u = mod( dx + u_dash_phase*width, freq);\\n        vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n        float dash_center= tex.x * width;\\n        float dash_type  = tex.y;\\n        float _start = tex.z * width;\\n        float _stop  = tex.a * width;\\n        float dash_start = dx - u + _start;\\n        float dash_stop  = dx - u + _stop;\\n\\n        // Compute extents of the first dash (the one relative to v_segment.x)\\n        // Note: this could be computed in the vertex shader\\n        if( (dash_stop < segment_start) && (dash_caps.x != 5.0) ) {\\n            float u = mod(segment_start + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_start - u + _start;\\n            dash_stop = segment_start - u + _stop;\\n        }\\n\\n        // Compute extents of the last dash (the one relatives to v_segment.y)\\n        // Note: This could be computed in the vertex shader\\n        else if( (dash_start > segment_stop)  && (dash_caps.y != 5.0) ) {\\n            float u = mod(segment_stop + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_stop - u + _start;\\n            dash_stop  = segment_stop - u + _stop;\\n        }\\n\\n        // This test if the we are dealing with a discontinuous angle\\n        bool discontinuous = ((dx <  segment_center) && abs(v_angles.x) > THETA) ||\\n                             ((dx >= segment_center) && abs(v_angles.y) > THETA);\\n        //if( dx < line_start) discontinuous = false;\\n        //if( dx > line_stop)  discontinuous = false;\\n\\n        float d_join = join( int(u_linejoin), abs(dy),\\n                            v_segment, v_texcoord, v_miter, v_linewidth );\\n\\n        // When path is closed, we do not have room for linecaps, so we make room\\n        // by shortening the total length\\n        if (closed) {\\n             line_start += v_linewidth/2.0;\\n             line_stop  -= v_linewidth/2.0;\\n        }\\n\\n        // We also need to take antialias area into account\\n        //line_start += u_antialias;\\n        //line_stop  -= u_antialias;\\n\\n        // Check is dash stop is before line start\\n        if( dash_stop <= line_start ) {\\n            discard;\\n        }\\n        // Check is dash start is beyond line stop\\n        if( dash_start >= line_stop ) {\\n            discard;\\n        }\\n\\n        // Check if current dash start is beyond segment stop\\n        if( discontinuous ) {\\n            // Dash start is beyond segment, we discard\\n            if( (dash_start > segment_stop) ) {\\n                discard;\\n                //gl_FragColor = vec4(1.0,0.0,0.0,.25); return;\\n            }\\n\\n            // Dash stop is before segment, we discard\\n            if( (dash_stop < segment_start) ) {\\n                discard;  //gl_FragColor = vec4(0.0,1.0,0.0,.25); return;\\n            }\\n\\n            // Special case for round caps (nicer with this)\\n            if( dash_caps.x == 1.0 ) {\\n                if( (u > _stop) && (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for round caps  (nicer with this)\\n            if( dash_caps.y == 1.0 ) {\\n                if( (u < _start) && (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.x != 1.0) && (dash_caps.x != 5.0) ) {\\n                if( (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0) ) {\\n                    float a = v_angles.x/2.0;\\n                    float x = (segment_start-dx)*cos(a) - dy*sin(a);\\n                    float y = (segment_start-dx)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the cap into square to avoid holes\\n                    dash_caps.x = 4.0;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.y != 1.0) && (dash_caps.y != 5.0) ) {\\n                if( (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0) ) {\\n                    float a = v_angles.y/2.0;\\n                    float x = (dx-segment_stop)*cos(a) - dy*sin(a);\\n                    float y = (dx-segment_stop)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the caps into square to avoid holes\\n                    dash_caps.y = 4.0;\\n                }\\n            }\\n        }\\n\\n        // Line cap at start\\n        if( (dx < line_start) && (dash_start < line_start) && (dash_stop > line_start) ) {\\n            d = cap( int(linecaps.x), dx-line_start, dy, t, v_linewidth);\\n        }\\n        // Line cap at stop\\n        else if( (dx > line_stop) && (dash_stop > line_stop) && (dash_start < line_stop) ) {\\n            d = cap( int(linecaps.y), dx-line_stop, dy, t, v_linewidth);\\n        }\\n        // Dash cap left - dash_type = -1, 0 or 1, but there may be roundoff errors\\n        else if( dash_type < -0.5 ) {\\n            d = cap( int(dash_caps.y), abs(u-dash_center), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash cap right\\n        else if( dash_type > 0.5 ) {\\n            d = cap( int(dash_caps.x), abs(dash_center-u), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash body (plain)\\n        else {// if( dash_type > -0.5 &&  dash_type < 0.5) {\\n            d = abs(dy);\\n        }\\n\\n        // Line join\\n        if( (dx > line_start) && (dx < line_stop)) {\\n            if( (dx <= segment_start) && (dash_start <= segment_start)\\n                && (dash_stop >= segment_start) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.x;\\n                float f = abs( (segment_start - dx)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( (dx > segment_stop) && (dash_start <= segment_stop)\\n                     && (dash_stop >= segment_stop) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.y;\\n                float f = abs((dx - segment_stop)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( dx < (segment_start - v_linewidth/2.)) {\\n                discard;\\n            }\\n            else if( dx > (segment_stop + v_linewidth/2.)) {\\n                discard;\\n            }\\n        }\\n        else if( dx < (segment_start - v_linewidth/2.)) {\\n            discard;\\n        }\\n        else if( dx > (segment_stop + v_linewidth/2.)) {\\n            discard;\\n        }\\n    }\\n\\n    // Distance to border ------------------------------------------------------\\n    d = d - t;\\n    if( d < 0.0 ) {\\n        gl_FragColor = color;\\n    } else {\\n        d /= u_antialias;\\n        gl_FragColor = vec4(color.rgb, exp(-d*d)*color.a);\\n    }\\n}\\n\"},\n      377: function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(373),r=t(374),o=t(378),_=t(379),h=t(213),l=t(12),n=t(72);class g extends r.BaseGLGlyph{init(){const{gl:t}=this,s=o.vertex_shader,e=_.fragment_shader(this._marker_code);this.prog=new a.Program(t),this.prog.set_shaders(s,e),this.vbo_x=new a.VertexBuffer(t),this.prog.set_attribute(\"a_x\",\"float\",this.vbo_x),this.vbo_y=new a.VertexBuffer(t),this.prog.set_attribute(\"a_y\",\"float\",this.vbo_y),this.vbo_s=new a.VertexBuffer(t),this.prog.set_attribute(\"a_size\",\"float\",this.vbo_s),this.vbo_a=new a.VertexBuffer(t),this.prog.set_attribute(\"a_angle\",\"float\",this.vbo_a),this.vbo_linewidth=new a.VertexBuffer(t),this.vbo_fg_color=new a.VertexBuffer(t),this.vbo_bg_color=new a.VertexBuffer(t),this.index_buffer=new a.IndexBuffer(t)}draw(t,s,e){const i=s.glglyph,{nvertices:a}=i;if(i.data_changed){if(!isFinite(e.dx)||!isFinite(e.dy))return;i._baked_offset=[e.dx,e.dy],i._set_data(a),i.data_changed=!1}else this.glyph instanceof h.CircleView&&null!=this.glyph._radius&&(null==this.last_trans||e.sx!=this.last_trans.sx||e.sy!=this.last_trans.sy)&&(this.last_trans=e,this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))));this.visuals_changed&&(this._set_visuals(a),this.visuals_changed=!1);const r=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[e.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[e.width,e.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[e.dx-r[0],e.dy-r[1]]),this.prog.set_uniform(\"u_scale\",\"vec2\",[e.sx,e.sy]),this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a),0!=t.length)if(t.length===a)this.prog.draw(this.gl.POINTS,[0,a]);else if(a<65535){const s=window.navigator.userAgent;s.indexOf(\"MSIE \")+s.indexOf(\"Trident/\")+s.indexOf(\"Edge/\")>0&&n.logger.warn(\"WebGL warning: IE is known to produce 1px sprites whith selections.\"),this.index_buffer.set_size(2*t.length),this.index_buffer.set_data(0,new Uint16Array(t)),this.prog.draw(this.gl.POINTS,this.index_buffer)}else{const s=64e3,e=[];for(let t=0,i=Math.ceil(a/s);t<i;t++)e.push([]);for(let i=0,a=t.length;i<a;i++){const a=t[i]%s;e[Math.floor(t[i]/s)].push(a)}for(let t=0,a=e.length;t<a;t++){const a=new Uint16Array(e[t]),r=t*s*4;0!==a.length&&(this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x,0,r),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y,0,r),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s,0,r),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a,0,r),this.vbo_linewidth.used&&this.prog.set_attribute(\"a_linewidth\",\"float\",this.vbo_linewidth,0,r),this.vbo_fg_color.used&&this.prog.set_attribute(\"a_fg_color\",\"vec4\",this.vbo_fg_color,0,4*r),this.vbo_bg_color.used&&this.prog.set_attribute(\"a_bg_color\",\"vec4\",this.vbo_bg_color,0,4*r),this.index_buffer.set_size(2*a.length),this.index_buffer.set_data(0,a),this.prog.draw(this.gl.POINTS,this.index_buffer))}}}_set_data(t){const s=4*t;this.vbo_x.set_size(s),this.vbo_y.set_size(s),this.vbo_a.set_size(s),this.vbo_s.set_size(s);const e=new Float64Array(this.glyph._x),i=new Float64Array(this.glyph._y);for(let s=0,a=t;s<a;s++)e[s]+=this._baked_offset[0],i[s]+=this._baked_offset[1];this.vbo_x.set_data(0,new Float32Array(e)),this.vbo_y.set_data(0,new Float32Array(i)),null!=this.glyph._angle&&this.vbo_a.set_data(0,new Float32Array(this.glyph._angle)),this.glyph instanceof h.CircleView&&null!=this.glyph._radius?this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))):this.vbo_s.set_data(0,new Float32Array(this.glyph._size))}_set_visuals(t){r.attach_float(this.prog,this.vbo_linewidth,\"a_linewidth\",t,this.glyph.visuals.line,\"line_width\"),r.attach_color(this.prog,this.vbo_fg_color,\"a_fg_color\",t,this.glyph.visuals.line,\"line\"),r.attach_color(this.prog,this.vbo_bg_color,\"a_bg_color\",t,this.glyph.visuals.fill,\"fill\"),this.prog.set_uniform(\"u_antialias\",\"float\",[.8])}}function f(t){return class extends g{get _marker_code(){return t}}}e.MarkerGLGlyph=g,g.__name__=\"MarkerGLGlyph\";const d=i.__importStar(t(379));e.CircleGLGlyph=f(d.circle),e.SquareGLGlyph=f(d.square),e.DiamondGLGlyph=f(d.diamond),e.TriangleGLGlyph=f(d.triangle),e.InvertedTriangleGLGlyph=f(d.invertedtriangle),e.HexGLGlyph=f(d.hex),e.CrossGLGlyph=f(d.cross),e.CircleCrossGLGlyph=f(d.circlecross),e.SquareCrossGLGlyph=f(d.squarecross),e.DiamondCrossGLGlyph=f(d.diamondcross),e.XGLGlyph=f(d.x),e.CircleXGLGlyph=f(d.circlex),e.SquareXGLGlyph=f(d.squarex),e.AsteriskGLGlyph=f(d.asterisk)},\n      378: function _(n,i,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.vertex_shader=\"\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\n//\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform vec2 u_offset;\\nuniform vec2 u_scale;\\nuniform float u_antialias;\\n//\\nattribute float a_x;\\nattribute float a_y;\\nattribute float a_size;\\nattribute float a_angle;  // in radians\\nattribute float a_linewidth;\\nattribute vec4  a_fg_color;\\nattribute vec4  a_bg_color;\\n//\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying vec2  v_rotation;\\n\\nvoid main (void)\\n{\\n    v_size = a_size * u_pixel_ratio;\\n    v_linewidth = a_linewidth * u_pixel_ratio;\\n    v_fg_color = a_fg_color;\\n    v_bg_color = a_bg_color;\\n    v_rotation = vec2(cos(-a_angle), sin(-a_angle));\\n    // Calculate position - the -0.5 is to correct for canvas origin\\n    vec2 pos = (vec2(a_x, a_y) + u_offset) * u_scale; // in pixels\\n    pos += 0.5;  // make up for Bokeh's offset\\n    pos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(pos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n    gl_PointSize = SQRT_2 * v_size + 2.0 * (v_linewidth + 1.5*u_antialias);\\n}\\n\"},\n      379: function _(a,n,s){Object.defineProperty(s,\"__esModule\",{value:!0}),s.fragment_shader=a=>`\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float PI = 3.14159265358979323846264;\\n//\\nuniform float u_antialias;\\n//\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2  v_rotation;\\n\\n${a}\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 fg_color, vec4 bg_color)\\n{\\n    vec4 frag_color;\\n    float t = linewidth/2.0 - antialias;\\n    float signed_distance = distance;\\n    float border_distance = abs(signed_distance) - t;\\n    float alpha = border_distance/antialias;\\n    alpha = exp(-alpha*alpha);\\n\\n    // If fg alpha is zero, it probably means no outline. To avoid a dark outline\\n    // shining through due to aa, we set the fg color to the bg color. Avoid if (i.e. branching).\\n    float select = float(bool(fg_color.a));\\n    fg_color.rgb = select * fg_color.rgb + (1.0  - select) * bg_color.rgb;\\n    // Similarly, if we want a transparent bg\\n    select = float(bool(bg_color.a));\\n    bg_color.rgb = select * bg_color.rgb + (1.0  - select) * fg_color.rgb;\\n\\n    if( border_distance < 0.0)\\n        frag_color = fg_color;\\n    else if( signed_distance < 0.0 ) {\\n        frag_color = mix(bg_color, fg_color, sqrt(alpha));\\n    } else {\\n        if( abs(signed_distance) < (linewidth/2.0 + antialias) ) {\\n            frag_color = vec4(fg_color.rgb, fg_color.a * alpha);\\n        } else {\\n            discard;\\n        }\\n    }\\n    return frag_color;\\n}\\n\\nvoid main()\\n{\\n    vec2 P = gl_PointCoord.xy - vec2(0.5, 0.5);\\n    P = vec2(v_rotation.x*P.x - v_rotation.y*P.y,\\n             v_rotation.y*P.x + v_rotation.x*P.y);\\n    float point_size = SQRT_2*v_size  + 2.0 * (v_linewidth + 1.5*u_antialias);\\n    float distance = marker(P*point_size, v_size);\\n    gl_FragColor = outline(distance, v_linewidth, u_antialias, v_fg_color, v_bg_color);\\n    //gl_FragColor.rgb *= gl_FragColor.a;  // pre-multiply alpha\\n}\\n`,s.circle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return length(P) - size/2.0;\\n}\\n\",s.square=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n\",s.diamond=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    return r1 / SQRT_2;\\n}\\n\",s.hex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    vec2 q = abs(P);\\n    return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n\",s.triangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y -= size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.invertedtriangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y += size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = - P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.cross='\\nfloat marker(vec2 P, float size)\\n{\\n    float square = max(abs(P.x), abs(P.y)) - size / 2.5;   // 2.5 is a tweak\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(square, cross);\\n}\\n',s.circlecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.squarecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.diamondcross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    diamond /= SQRT_2;\\n    float c1 = max(diamond, s1);\\n    float c2 = max(diamond, s2);\\n    float c3 = max(diamond, s3);\\n    float c4 = max(diamond, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.x='\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size / 1.6;\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(circle, X);\\n}\\n',s.circlex='\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    float almost = min(min(min(c1, c2), c3), c4);\\n    // In this case, the X is also outside of the main shape\\n    float Xmask = length(P) - size / 1.6;  // a circle\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return min(max(X, Xmask), almost);\\n}\\n',s.squarex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.asterisk='\\nfloat marker(vec2 P, float size)\\n{\\n    // Masks\\n    float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / (2.0 * SQRT_2);\\n    float square = max(abs(P.x), abs(P.y)) - size / (2.0 * SQRT_2);\\n    // Shapes\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    // Result is union of masked shapes\\n    return min(max(X, diamond), max(cross, square));\\n}\\n'},\n      }, 370, {\"models/glyphs/webgl/main\":370,\"models/glyphs/webgl/index\":371,\"models/glyphs/webgl/line\":372,\"models/glyphs/webgl/base\":374,\"models/glyphs/webgl/line.vert\":375,\"models/glyphs/webgl/line.frag\":376,\"models/glyphs/webgl/markers\":377,\"models/glyphs/webgl/markers.vert\":378,\"models/glyphs/webgl/markers.frag\":379}, {});\n      })\n\n\n      /* END bokeh-gl.min.js */\n    },\n    \n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      /* BEGIN panel.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], undefined);\n      })(this, function(Bokeh, version) {\n        var define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      \"4e90918c0a\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"22ae8fda70\"));o.Panel=s,e(\"@bokehjs/base\").register_models(s)},\n      \"22ae8fda70\": function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=a(\"tslib\");var t=a(\"3343056bd8\");r.AcePlot=t.AcePlot;var c=a(\"66d52165db\");r.Audio=c.Audio;var l=a(\"71a9759436\");r.CommManager=l.CommManager;var d=a(\"d0d2aafca0\");r.DeckGLPlot=d.DeckGLPlot;var v=a(\"ed08037ce5\");r.HTML=v.HTML;var b=a(\"284504a0cf\");r.JSON=b.JSON;var P=a(\"61c9ac7aac\");r.FileDownload=P.FileDownload;var f=a(\"7b859fb3cf\");r.KaTeX=f.KaTeX;var i=a(\"0c21036737\");r.MathJax=i.MathJax;var n=a(\"79c41bbf71\");r.Player=n.Player;var s=a(\"56da045fbd\");r.PlotlyPlot=s.PlotlyPlot;var M=a(\"76307e5afa\");r.Progress=M.Progress;var S=a(\"38b2bc9574\");r.State=S.State;var g=a(\"294adeb985\");r.VegaPlot=g.VegaPlot;var m=a(\"b0c3e9e9c2\");r.Video=m.Video;var V=a(\"3c7145a2fa\");r.VideoStream=V.VideoStream,o.__exportStar(a(\"ecfbb965eb\"),r)},\n      \"3343056bd8\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),n=e(\"@bokehjs/core/dom\"),a=e(\"7116a7a602\");class d extends a.PanelHTMLBoxView{initialize(){super.initialize(),this._ace=window.ace,this._container=n.div({id:\"_\"+Math.random().toString(36).substr(2,9),style:{width:\"100%\",height:\"100%\"}})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.code.change,()=>this._update_code_from_model()),this.connect(this.model.properties.theme.change,()=>this._update_theme()),this.connect(this.model.properties.language.change,()=>this._update_language()),this.connect(this.model.properties.annotations.change,()=>this._add_annotations()),this.connect(this.model.properties.readonly.change,()=>{this._editor.setReadOnly(this.model.readonly)})}render(){super.render(),this._container!==this.el.childNodes[0]&&this.el.appendChild(this._container),this._container.textContent=this.model.code,this._editor=this._ace.edit(this._container.id),this._editor.setTheme(\"ace/theme/\"+this.model.theme),this._editor.session.setMode(\"ace/mode/\"+this.model.language),this._editor.setReadOnly(this.model.readonly),this._langTools=this._ace.require(\"ace/ext/language_tools\"),this._editor.setOptions({enableBasicAutocompletion:!0,enableSnippets:!0,fontFamily:\"monospace\"}),this._editor.on(\"change\",()=>this._update_code_from_editor())}_update_code_from_model(){this._editor&&this._editor.getValue()!=this.model.code&&this._editor.setValue(this.model.code)}_update_code_from_editor(){this._editor.getValue()!=this.model.code&&(this.model.code=this._editor.getValue())}_update_theme(){this._editor.setTheme(\"ace/theme/\"+this.model.theme)}_update_language(){this._editor.session.setMode(\"ace/mode/\"+this.model.language)}_add_annotations(){this._editor.session.setAnnotations(this.model.annotations)}after_layout(){super.after_layout(),this._editor.resize()}}o.AcePlotView=d,d.__name__=\"AcePlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_AcePlot(){this.prototype.default_view=d,this.define({code:[i.String],language:[i.String,\"python\"],theme:[i.String,\"chrome\"],annotations:[i.Array,[]],readonly:[i.Boolean,!1]}),this.override({height:300,width:300})}}o.AcePlot=h,h.__name__=\"AcePlot\",h.__module__=\"panel.models.ace\",h.init_AcePlot()},\n      \"7116a7a602\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(\"@bokehjs/core/layout/html\"),h=e(\"@bokehjs/core/layout/types\"),o=e(\"@bokehjs/core/dom\"),n=e(\"@bokehjs/models/widgets/markup\"),_=e(\"@bokehjs/models/layouts/html_box\");function a(e,i){let t=null!=i.width?\"fixed\":\"fit\",s=null!=i.height?\"fixed\":\"fit\";const{sizing_mode:h}=i;if(null!=h)if(\"fixed\"==h)t=s=\"fixed\";else if(\"stretch_both\"==h)t=s=\"max\";else if(\"stretch_width\"==h)t=\"max\";else if(\"stretch_height\"==h)s=\"max\";else switch(h){case\"scale_width\":t=\"max\",s=\"min\";break;case\"scale_height\":t=\"min\",s=\"max\";break;case\"scale_both\":t=\"max\",s=\"max\";break;default:throw new Error(\"unreachable\")}\"fixed\"==t&&i.width?e.style.width=i.width+\"px\":\"max\"==t&&(e.style.width=\"100%\"),\"fixed\"==s&&i.height?e.style.height=i.height+\"px\":\"max\"==s&&(e.style.height=\"100%\")}t.set_size=a;class d extends s.VariadicBox{constructor(e,i,t){super(e),this.el=e,this.sizing_mode=i,this.changed=t,this._cache=new Map,this._cache_count=new Map}_measure(e){const i=[e.width,e.height,this.sizing_mode].toString(),t=this.changed&&\"fixed\"!=this.sizing_mode&&null!=this.sizing_mode?1:0,s=this._cache.get(i),n=this._cache_count.get(i);if(null!=s&&null!=n&&n>=t)return this._cache_count.set(i,n+1),s;const _=new h.Sizeable(e).bounded_to(this.sizing.size),a=o.sized(this.el,_,()=>{const e=new h.Sizeable(o.content_size(this.el)),{border:i,padding:t}=o.extents(this.el);return e.grow_by(i).grow_by(t).map(Math.ceil)});return this._cache.set(i,a),this._cache_count.set(i,0),a}invalidate_cache(){}}t.CachedVariadicBox=d,d.__name__=\"CachedVariadicBox\";class l extends n.MarkupView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.markup_el,this.model)}}t.PanelMarkupView=l,l.__name__=\"PanelMarkupView\";class c extends _.HTMLBoxView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.el,this.model)}}t.PanelHTMLBoxView=c,c.__name__=\"PanelHTMLBoxView\"},\n      \"66d52165db\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.audioEl=document.createElement(\"audio\"),this.audioEl.controls=!0,this.audioEl.src=this.model.value,this.audioEl.currentTime=this.model.time,this.audioEl.loop=this.model.loop,null!=this.model.volume?this.audioEl.volume=this.model.volume/100:this.model.volume=100*this.audioEl.volume,this.audioEl.onpause=()=>this.model.paused=!0,this.audioEl.onplay=()=>this.model.paused=!1,this.audioEl.ontimeupdate=()=>this.update_time(this),this.audioEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.audioEl),this.model.paused||this.audioEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.audioEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.audioEl.volume)}set_loop(){this.audioEl.loop=this.model.loop}set_paused(){!this.audioEl.paused&&this.model.paused&&this.audioEl.pause(),this.audioEl.paused&&!this.model.paused&&this.audioEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.audioEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.audioEl.currentTime=this.model.time)}set_value(){this.audioEl.src=this.model.value}}i.AudioView=d,d.__name__=\"AudioView\";class u extends s.HTMLBox{constructor(e){super(e)}static init_Audio(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}i.Audio=u,u.__name__=\"Audio\",u.__module__=\"panel.models.widgets\",u.init_Audio()},\n      \"71a9759436\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/document\"),s=e(\"@bokehjs/core/view\"),c=e(\"@bokehjs/model\"),_=e(\"@bokehjs/protocol/message\"),l=e(\"@bokehjs/protocol/receiver\");class r extends s.View{renderTo(){}}n.CommManagerView=r,r.__name__=\"CommManagerView\";class a extends c.Model{constructor(e){super(e),this._document_listener=e=>this._document_changed(e),this._receiver=new l.Receiver,this._event_buffer=[],this._blocked=!1,this._timeout=Date.now(),null!=window.PyViz&&window.PyViz.comm_manager?(this.ns=window.PyViz,this.ns.comm_manager.register_target(this.plot_id,this.comm_id,e=>this.msg_handler(e)),this._client_comm=this.ns.comm_manager.get_client_comm(this.plot_id,this.client_comm_id,e=>this.on_ack(e))):console.log(\"Could not find comm manager on window.PyViz, ensure the extension is loaded.\")}_doc_attached(){super._doc_attached(),null!=this.document&&this.document.on_change(this._document_listener)}_document_changed(e){e.setter_id!==this.id&&(e instanceof i.ModelChangedEvent&&!(e.attr in e.model.serializable_attributes())||(this._event_buffer.unshift(e),(!this._blocked||Date.now()>this._timeout)&&(setTimeout(()=>this.process_events(),this.debounce),this._blocked=!0,this._timeout=Date.now()+this.timeout)))}process_events(){if(null==this.document||null==this._client_comm)return;const e=_.Message.create(\"PATCH-DOC\",{},this.document.create_json_patch(this._event_buffer));this._client_comm.send(e),this._event_buffer=[]}on_ack(e){const t=e.metadata;this._event_buffer.length?(this.process_events(),this._blocked=!0,this._timeout=Date.now()+this.timeout):this._blocked=!1,this._event_buffer=[],\"Ready\"==t.msg_type&&t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback)}msg_handler(e){const t=e.metadata,n=e.buffers,o=e.content.data,i=this.plot_id;if(\"Ready\"==t.msg_type)t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback);else if(null!=i){let e=null;if(i in this.ns.plot_index&&null!=this.ns.plot_index[i]?e=this.ns.plot_index[i]:void 0!==window.Bokeh&&i in window.Bokeh.index&&(e=window.Bokeh.index[i]),null==e)return;null!=n&&n.length>0?this._receiver.consume(n[0].buffer):this._receiver.consume(o);const t=this._receiver.message;null!=t&&Object.keys(t.content).length>0&&null!=this.document&&this.document.apply_json_patch(t.content,t.buffers,this.id)}}static init_CommManager(){this.prototype.default_view=r,this.define({plot_id:[o.String,null],comm_id:[o.String,null],client_comm_id:[o.String,null],timeout:[o.Number,5e3],debounce:[o.Number,50]})}}n.CommManager=a,a.__name__=\"CommManager\",a.__module__=\"panel.models.comm_manager\",a.init_CommManager()},\n      \"d0d2aafca0\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\"),n=e(\"@bokehjs/core/dom\"),a=i.__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),c=e(\"7116a7a602\"),r=e(\"064eac2866\"),d=i.__importDefault(e(\"093eb75864\"));function l(){const e={},t=window.deck,o=Object.keys(t).filter(e=>e.charAt(0)===e.charAt(0).toUpperCase());for(const i of o)e[i]=t[i];return e}class _ extends c.PanelHTMLBoxView{connect_signals(){super.connect_signals();const{data:e,mapbox_api_key:t,tooltip:o,layers:i,initialViewState:n,data_sources:a}=this.model.properties;this.on_change([t,o],()=>this.render()),this.on_change([e,n],()=>this.updateDeck()),this.on_change([i],()=>this._update_layers()),this.on_change([a],()=>this._connect_sources(!0)),this._layer_map={},this._connected=[],this._connect_sources()}_update_layers(){this._layer_map={},this._update_data(!0)}_connect_sources(e=!1){for(const e of this.model.data_sources)this._connected.indexOf(e)<0&&(this.connect(e.properties.data.change,()=>this._update_data(!0)),this._connected.push(e));this._update_data(e)}initialize(){if(super.initialize(),window.deck.JSONConverter){const{CSVLoader:e,Tile3DLoader:t}=window.loaders;window.loaders.registerLoaders([t,e]);const o={classes:l(),enumerations:{COORDINATE_SYSTEM:window.deck.COORDINATE_SYSTEM,GL:d.default},constants:{Tile3DLoader:t}};this.jsonConverter=new window.deck.JSONConverter({configuration:o})}}_update_data(e=!0){let t=0;for(const e of this.model.layers){let o;if(t+=1,t-1 in this._layer_map)o=this.model.data_sources[this._layer_map[t-1]];else{if(\"number\"!=typeof e.data)continue;this._layer_map[t-1]=e.data,o=this.model.data_sources[e.data]}const i=[],n=o.columns();for(let e=0;e<o.get_length();e++){const t={};for(const i of n){let n=o.get_array(i);const a=null==n[0].shape?null:n[0].shape;null!=a&&a.length>1&&\"number\"==typeof a[0]?t[i]=n.slice(e*a[1],e*a[1]+a[1]):t[i]=n[e]}i.push(t)}e.data=i}e&&this.updateDeck()}_on_click_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.clickState=t}_on_hover_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.hoverState=t}_on_viewState_event(e){this.model.viewState=e.viewState}getData(){return Object.assign(Object.assign({},this.model.data),{layers:this.model.layers,initialViewState:this.model.initialViewState,onViewStateChange:e=>this._on_viewState_event(e),onClick:e=>this._on_click_event(e),onHover:e=>this._on_hover_event(e)})}updateDeck(){if(!this.deckGL)return void this.render();const e=this.getData();if(window.deck.updateDeck)window.deck.updateDeck(e,this.deckGL);else{const t=this.jsonConverter.convert(e);this.deckGL.setProps(t)}}createDeck({mapboxApiKey:e,container:t,jsonInput:o,tooltip:i}){let n;try{const a=this.jsonConverter.convert(o),s=r.makeTooltip(i);n=new window.deck.DeckGL(Object.assign(Object.assign({},a),{map:window.mapboxgl,mapboxApiAccessToken:e,container:t,getTooltip:s}))}catch(e){console.error(e)}return n}render(){super.render();const e=n.div({class:\"deckgl\"});c.set_size(e,this.model);const t=this.model.mapbox_api_key,o=this.model.tooltip,i=this.getData();window.deck.createDeck?this.deckGL=window.deck.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}):this.deckGL=this.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}),this.el.appendChild(e)}}o.DeckGLPlotView=_,_.__name__=\"DeckGLPlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_DeckGLPlot(){this.prototype.default_view=_,this.define({data:[a.Any],data_sources:[a.Array,[]],clickState:[a.Any],hoverState:[a.Any],initialViewState:[a.Any],layers:[a.Array,[]],mapbox_api_key:[a.String],tooltip:[a.Any],viewState:[a.Any]}),this.override({height:400,width:600})}}o.DeckGLPlot=h,h.__name__=\"DeckGLPlot\",h.__module__=\"panel.models.deckgl\",h.init_DeckGLPlot()},\n      \"064eac2866\": function _(e,t,n){\n      /*\n          This file was adapted from https://github.com/uber/deck.gl/ the LICENSE\n          below is preserved to comply with the original license.\n          \n          Copyright (c) 2015 - 2017 Uber Technologies, Inc.\n          \n          Permission is hereby granted, free of charge, to any person obtaining a copy\n          of this software and associated documentation files (the \"Software\"), to deal\n          in the Software without restriction, including without limitation the rights\n          to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n          copies of the Software, and to permit persons to whom the Software is\n          furnished to do so, subject to the following conditions:\n          \n          The above copyright notice and this permission notice shall be included in\n          all copies or substantial portions of the Software.\n          \n          THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n          IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n          FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n          AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n          LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n          OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n          THE SOFTWARE.\n          */\n      let i,l;Object.defineProperty(n,\"__esModule\",{value:!0});const o={fontFamily:'\"Helvetica Neue\", Helvetica, Arial, sans-serif',display:\"flex\",flex:\"wrap\",maxWidth:\"500px\",flexDirection:\"column\",zIndex:2};function r(){return document.createElement(\"div\")}function s(e){if(!e.picked)return null;if(e.object===i)return l;const t={html:a(e.object),style:o};return l=t,i=e.object,t}n.getTooltipDefault=s;const c=new Set([\"position\",\"index\"]);function a(e){const t=r();for(const n in e){if(c.has(n))continue;const i=r();i.className=\"header\",i.textContent=n;const l=r();l.className=\"value\",l.textContent=u(e[n]);const 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\"093eb75864\": function _(E,_,R){_.exports={DEPTH_BUFFER_BIT:256,STENCIL_BUFFER_BIT:1024,COLOR_BUFFER_BIT:16384,POINTS:0,LINES:1,LINE_LOOP:2,LINE_STRIP:3,TRIANGLES:4,TRIANGLE_STRIP:5,TRIANGLE_FAN:6,ZERO:0,ONE:1,SRC_COLOR:768,ONE_MINUS_SRC_COLOR:769,SRC_ALPHA:770,ONE_MINUS_SRC_ALPHA:771,DST_ALPHA:772,ONE_MINUS_DST_ALPHA:773,DST_COLOR:774,ONE_MINUS_DST_COLOR:775,SRC_ALPHA_SATURATE:776,CONSTANT_COLOR:32769,ONE_MINUS_CONSTANT_COLOR:32770,CONSTANT_ALPHA:32771,ONE_MINUS_CONSTANT_ALPHA:32772,FUNC_ADD:32774,FUNC_SUBTRACT:32778,FUNC_REVERSE_SUBTRACT:32779,BLEND_EQUATION:32777,BLEND_EQUATION_RGB:32777,BLEND_EQUATION_ALPHA:34877,BLEND_DST_RGB:32968,BLEND_SRC_RGB:32969,BLEND_DST_ALPHA:32970,BLEND_SRC_ALPHA:32971,BLEND_COLOR:32773,ARRAY_BUFFER_BINDING:34964,ELEMENT_ARRAY_BUFFER_BINDING:34965,LINE_WIDTH:2849,ALIASED_POINT_SIZE_RANGE:33901,ALIASED_LINE_WIDTH_RANGE:33902,CULL_FACE_MODE:2885,FRONT_FACE:2886,DEPTH_RANGE:2928,DEPTH_WRITEMASK:2930,DEPTH_CLEAR_VALUE:2931,DEPTH_FUNC:2932,STENCIL_CLEAR_VALUE:2961,STENCIL_FUNC:2962,STENCIL_FAIL:2964,STENCIL_PASS_DEPTH_FAIL:2965,STENCIL_PASS_DEPTH_PASS:2966,STENCIL_REF:2967,STENCIL_VALUE_MASK:2963,STENCIL_WRITEMASK:2968,STENCIL_BACK_FUNC:34816,STENCIL_BACK_FAIL:34817,STENCIL_BACK_PASS_DEPTH_FAIL:34818,STENCIL_BACK_PASS_DEPTH_PASS:34819,STENCIL_BACK_REF:36003,STENCIL_BACK_VALUE_MASK:36004,STENCIL_BACK_WRITEMASK:36005,VIEWPORT:2978,SCISSOR_BOX:3088,COLOR_CLEAR_VALUE:3106,COLOR_WRITEMASK:3107,UNPACK_ALIGNMENT:3317,PACK_ALIGNMENT:3333,MAX_TEXTURE_SIZE:3379,MAX_VIEWPORT_DIMS:3386,SUBPIXEL_BITS:3408,RED_BITS:3410,GREEN_BITS:3411,BLUE_BITS:3412,ALPHA_BITS:3413,DEPTH_BITS:3414,STENCIL_BITS:3415,POLYGON_OFFSET_UNITS:10752,POLYGON_OFFSET_FACTOR:32824,TEXTURE_BINDING_2D:32873,SAMPLE_BUFFERS:32936,SAMPLES:32937,SAMPLE_COVERAGE_VALUE:32938,SAMPLE_COVERAGE_INVERT:32939,COMPRESSED_TEXTURE_FORMATS:34467,VENDOR:7936,RENDERER:7937,VERSION:7938,IMPLEMENTATION_COLOR_READ_TYPE:35738,IMPLEMENTATION_COLOR_READ_FORMAT:35739,BROWSER_DEFAULT_WEBGL:37444,STATIC_DRAW:35044,STREAM_DRAW:35040,DYNAMIC_DRAW:35048,ARRAY_BUFFER:34962,ELEMENT_ARRAY_BUFFER:34963,BUFFER_SIZE:34660,BUFFER_USAGE:34661,CURRENT_VERTEX_ATTRIB:34342,VERTEX_ATTRIB_ARRAY_ENABLED:34338,VERTEX_ATTRIB_ARRAY_SIZE:34339,VERTEX_ATTRIB_ARRAY_STRIDE:34340,VERTEX_ATTRIB_ARRAY_TYPE:34341,VERTEX_ATTRIB_ARRAY_NORMALIZED:34922,VERTEX_ATTRIB_ARRAY_POINTER:34373,VERTEX_ATTRIB_ARRAY_BUFFER_BINDING:34975,CULL_FACE:2884,FRONT:1028,BACK:1029,FRONT_AND_BACK:1032,BLEND:3042,DEPTH_TEST:2929,DITHER:3024,POLYGON_OFFSET_FILL:32823,SAMPLE_ALPHA_TO_COVERAGE:32926,SAMPLE_COVERAGE:32928,SCISSOR_TEST:3089,STENCIL_TEST:2960,NO_ERROR:0,INVALID_ENUM:1280,INVALID_VALUE:1281,INVALID_OPERATION:1282,OUT_OF_MEMORY:1285,CONTEXT_LOST_WEBGL:37442,CW:2304,CCW:2305,DONT_CARE:4352,FASTEST:4353,NICEST:4354,GENERATE_MIPMAP_HINT:33170,BYTE:5120,UNSIGNED_BYTE:5121,SHORT:5122,UNSIGNED_SHORT:5123,INT:5124,UNSIGNED_INT:5125,FLOAT:5126,DOUBLE:5130,DEPTH_COMPONENT:6402,ALPHA:6406,RGB:6407,RGBA:6408,LUMINANCE:6409,LUMINANCE_ALPHA:6410,UNSIGNED_SHORT_4_4_4_4:32819,UNSIGNED_SHORT_5_5_5_1:32820,UNSIGNED_SHORT_5_6_5:33635,FRAGMENT_SHADER:35632,VERTEX_SHADER:35633,COMPILE_STATUS:35713,DELETE_STATUS:35712,LINK_STATUS:35714,VALIDATE_STATUS:35715,ATTACHED_SHADERS:35717,ACTIVE_ATTRIBUTES:35721,ACTIVE_UNIFORMS:35718,MAX_VERTEX_ATTRIBS:34921,MAX_VERTEX_UNIFORM_VECTORS:36347,MAX_VARYING_VECTORS:36348,MAX_COMBINED_TEXTURE_IMAGE_UNITS:35661,MAX_VERTEX_TEXTURE_IMAGE_UNITS:35660,MAX_TEXTURE_IMAGE_UNITS:34930,MAX_FRAGMENT_UNIFORM_VECTORS:36349,SHADER_TYPE:35663,SHADING_LANGUAGE_VERSION:35724,CURRENT_PROGRAM:35725,NEVER:512,ALWAYS:519,LESS:513,EQUAL:514,LEQUAL:515,GREATER:516,GEQUAL:518,NOTEQUAL:517,KEEP:7680,REPLACE:7681,INCR:7682,DECR:7683,INVERT:5386,INCR_WRAP:34055,DECR_WRAP:34056,NEAREST:9728,LINEAR:9729,NEAREST_MIPMAP_NEAREST:9984,LINEAR_MIPMAP_NEAREST:9985,NEAREST_MIPMAP_LINEAR:9986,LINEAR_MIPMAP_LINEAR:9987,TEXTURE_MAG_FILTER:10240,TEXTURE_MIN_FILTER:10241,TEXTURE_WRAP_S:10242,TEXTURE_WRAP_T:10243,TEXTURE_2D:3553,TEXTURE:5890,TEXTURE_CUBE_MAP:34067,TEXTURE_BINDING_CUBE_MAP:34068,TEXTURE_CUBE_MAP_POSITIVE_X:34069,TEXTURE_CUBE_MAP_NEGATIVE_X:34070,TEXTURE_CUBE_MAP_POSITIVE_Y:34071,TEXTURE_CUBE_MAP_NEGATIVE_Y:34072,TEXTURE_CUBE_MAP_POSITIVE_Z:34073,TEXTURE_CUBE_MAP_NEGATIVE_Z:34074,MAX_CUBE_MAP_TEXTURE_SIZE:34076,TEXTURE0:33984,ACTIVE_TEXTURE:34016,REPEAT:10497,CLAMP_TO_EDGE:33071,MIRRORED_REPEAT:33648,TEXTURE_WIDTH:4096,TEXTURE_HEIGHT:4097,FLOAT_VEC2:35664,FLOAT_VEC3:35665,FLOAT_VEC4:35666,INT_VEC2:35667,INT_VEC3:35668,INT_VEC4:35669,BOOL:35670,BOOL_VEC2:35671,BOOL_VEC3:35672,BOOL_VEC4:35673,FLOAT_MAT2:35674,FLOAT_MAT3:35675,FLOAT_MAT4:35676,SAMPLER_2D:35678,SAMPLER_CUBE:35680,LOW_FLOAT:36336,MEDIUM_FLOAT:36337,HIGH_FLOAT:36338,LOW_INT:36339,MEDIUM_INT:36340,HIGH_INT:36341,FRAMEBUFFER:36160,RENDERBUFFER:36161,RGBA4:32854,RGB5_A1:32855,RGB565:36194,DEPTH_COMPONENT16:33189,STENCIL_INDEX:6401,STENCIL_INDEX8:36168,DEPTH_STENCIL:34041,RENDERBUFFER_WIDTH:36162,RENDERBUFFER_HEIGHT:36163,RENDERBUFFER_INTERNAL_FORMAT:36164,RENDERBUFFER_RED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none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \"No properties\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \"[]\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n  color: green;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n  color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n  color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n  color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n  color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n  background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: blue;\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n  color: #00008B;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \"►\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n  color: white;\\n  text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \"No properties\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \"[]\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n  color: #31F031;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n  color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n  color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n  color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n  color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n  color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n  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this.config.useToJSON&&\"stringifiable\"===this.type},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"hasKey\",{get:function(){return void 0!==this.key},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"constructorName\",{get:function(){return i(this.json)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"type\",{get:function(){return this.config.useToJSON&&this.json&&this.json.toJSON?\"stringifiable\":n(this.json)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"keys\",{get:function(){if(this.isObject){var t=Object.keys(this.json);return!this.isArray&&this.config.sortPropertiesBy?t.sort(this.config.sortPropertiesBy):t}return[]},enumerable:!0,configurable:!0}),t.prototype.toggleOpen=function(){this.isOpen=!this.isOpen,this.element&&(this.isOpen?this.appendChildren(this.config.animateOpen):this.removeChildren(this.config.animateClose),this.element.classList.toggle(f(\"open\")))},t.prototype.openAtDepth=function(t){void 0===t&&(t=1),t<0||(this.open=t,this.isOpen=0!==t,this.element&&(this.removeChildren(!1),0===t?this.element.classList.remove(f(\"open\")):(this.appendChildren(this.config.animateOpen),this.element.classList.add(f(\"open\")))))},t.prototype.getInlinepreview=function(){var t=this;if(this.isArray)return this.json.length>this.config.hoverPreviewArrayCount?\"Array[\"+this.json.length+\"]\":\"[\"+this.json.map(a).join(\", \")+\"]\";var e=this.keys,r=e.slice(0,this.config.hoverPreviewFieldCount).map((function(e){return 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e=r.keys[o],s=new t(r.json[e],r.open-1,r.config,e);n.appendChild(s.render()),(o+=1)<r.keys.length&&(o>10?i():p(i))};p(i)}else this.keys.forEach((function(e){var o=new t(r.json[e],r.open-1,r.config,e);n.appendChild(o.render())}))},t.prototype.removeChildren=function(t){void 0===t&&(t=!1);var e=this.element.querySelector(\"div.\"+f(\"children\"));if(t){var r=0,n=function(){e&&e.children.length&&(e.removeChild(e.children[0]),(r+=1)>10?n():p(n))};p(n)}else e&&(e.innerHTML=\"\")},t}();r.default=h},\n      \"61c9ac7aac\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(\"tslib\"),s=e(\"@bokehjs/models/widgets/input_widget\"),o=e(\"@bokehjs/styles/buttons\"),n=l.__importStar(e(\"@bokehjs/core/properties\"));class a extends s.InputWidgetView{constructor(){super(...arguments),this._downloadable=!1,this._embed=!1,this._prev_href=\"\",this._prev_download=\"\"}initialize(){super.initialize(),this.model.data&&this.model.filename&&(this._embed=!0)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.button_type.change,()=>this._update_button_style()),this.connect(this.model.properties.filename.change,()=>this._update_download()),this.connect(this.model.properties._transfers.change,()=>this._handle_click()),this.connect(this.model.properties.label.change,()=>this._update_label())}render(){super.render(),this.group_el.style.display=\"flex\",this.group_el.style.alignItems=\"stretch\",this.anchor_el=document.createElement(\"a\"),this._update_button_style(),this._update_label(),this.model.disabled?(this.anchor_el.setAttribute(\"disabled\",\"\"),this._downloadable=!1):(this.anchor_el.removeAttribute(\"disabled\"),this._prev_download&&(this.anchor_el.download=this._prev_download),this._prev_href&&(this.anchor_el.href=this._prev_href),this.anchor_el.download&&this.anchor_el.download&&(this._downloadable=!0)),this._embed?this._make_link_downloadable():(this._click_listener=this._increment_clicks.bind(this),this.anchor_el.addEventListener(\"click\",this._click_listener)),this.group_el.appendChild(this.anchor_el)}_increment_clicks(){this.model.clicks=this.model.clicks+1}_handle_click(){!this.model.auto&&this._downloadable||(this._make_link_downloadable(),!this._embed&&this.model.auto&&(this.anchor_el.removeEventListener(\"click\",this._click_listener),this.anchor_el.click(),this.anchor_el.removeAttribute(\"href\"),this.anchor_el.removeAttribute(\"download\"),this.anchor_el.addEventListener(\"click\",this._click_listener)),this._prev_href=this.anchor_el.getAttribute(\"href\"),this._prev_download=this.anchor_el.getAttribute(\"download\"))}_make_link_downloadable(){this._update_href(),this._update_download(),this.anchor_el.download&&this.anchor_el.href&&(this._downloadable=!0)}_update_href(){if(this.model.data){const e=function(e){const t=atob(e.split(\",\")[1]),i=e.split(\",\")[0].split(\":\")[1].split(\";\")[0],l=new ArrayBuffer(t.length),s=new Uint8Array(l);for(let e=0;e<t.length;e++)s[e]=t.charCodeAt(e);return new Blob([l],{type:i})}(this.model.data);this.anchor_el.href=URL.createObjectURL(e)}}_update_download(){this.model.filename&&(this.anchor_el.download=this.model.filename)}_update_label(){this.anchor_el.textContent=this.model.label}_update_button_style(){if(this.anchor_el.hasAttribute(\"class\")){const e=this.anchor_el.classList.item(1);e&&this.anchor_el.classList.replace(e,o.bk_btn_type(this.model.button_type))}else this.anchor_el.classList.add(o.bk_btn),this.anchor_el.classList.add(o.bk_btn_type(this.model.button_type))}}i.FileDownloadView=a,a.__name__=\"FileDownloadView\";class h extends s.InputWidget{constructor(e){super(e)}static init_FileDownload(){this.prototype.default_view=a,this.define({auto:[n.Boolean,!1],clicks:[n.Number,0],data:[n.String,null],label:[n.String,\"Download\"],filename:[n.String,null],button_type:[n.ButtonType,\"default\"],_transfers:[n.Number,0]}),this.override({title:\"\"})}}i.FileDownload=h,h.__name__=\"FileDownload\",h.__module__=\"panel.models.widgets\",h.init_FileDownload()},\n      \"7b859fb3cf\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(\"@bokehjs/models/widgets/markup\"),n=e(\"7116a7a602\");class r extends n.PanelMarkupView{render(){super.render(),this.markup_el.innerHTML=this.model.text,window.renderMathInElement&&window.renderMathInElement(this.el,{delimiters:[{left:\"$$\",right:\"$$\",display:!0},{left:\"\\\\[\",right:\"\\\\]\",display:!0},{left:\"$\",right:\"$\",display:!1},{left:\"\\\\(\",right:\"\\\\)\",display:!1}]})}}i.KaTeXView=r,r.__name__=\"KaTeXView\";class s extends a.Markup{constructor(e){super(e)}static init_KaTeX(){this.prototype.default_view=r}}i.KaTeX=s,s.__name__=\"KaTeX\",s.__module__=\"panel.models.katex\",s.init_KaTeX()},\n      \"0c21036737\": function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(\"@bokehjs/models/widgets/markup\"),s=e(\"7116a7a602\");class _ extends s.PanelMarkupView{initialize(){super.initialize(),this._hub=window.MathJax.Hub,this._hub.Config({tex2jax:{inlineMath:[[\"$\",\"$\"],[\"\\\\(\",\"\\\\)\"]]}})}render(){super.render(),this._hub&&(this.markup_el.innerHTML=this.model.text,this._hub.Queue([\"Typeset\",this._hub,this.markup_el]))}}a.MathJaxView=_,_.__name__=\"MathJaxView\";class h extends i.Markup{constructor(e){super(e)}static init_MathJax(){this.prototype.default_view=_}}a.MathJax=h,h.__name__=\"MathJax\",h.__module__=\"panel.models.mathjax\",h.init_MathJax()},\n      \"79c41bbf71\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/models/widgets/widget\");function n(e){e.forEach(e=>e.style.borderStyle=\"inset\")}function a(e){e.forEach(e=>e.style.borderStyle=\"outset\")}class r extends l.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.value.change,()=>this.render()),this.connect(this.model.properties.loop_policy.change,()=>this.set_loop_state(this.model.loop_policy)),this.connect(this.model.properties.show_loop_controls.change,()=>{this.model.show_loop_controls&&this.loop_state.parentNode!=this.groupEl?this.groupEl.appendChild(this.loop_state):this.model.show_loop_controls||this.loop_state.parentNode!=this.groupEl||this.el.removeChild(this.loop_state)})}get_height(){return 250}render(){if(null!=this.sliderEl)return this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),void(this.sliderEl.value=String(this.model.value));super.render(),this.groupEl=o.div(),this.groupEl.style.display=\"flex\",this.groupEl.style.flexDirection=\"column\",this.groupEl.style.alignItems=\"center\",this.sliderEl=document.createElement(\"input\"),this.sliderEl.style.width=\"100%\",this.sliderEl.setAttribute(\"type\",\"range\"),this.sliderEl.value=String(this.model.value),this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),this.sliderEl.onchange=e=>this.set_frame(parseInt(e.target.value));const e=o.div();e.style.cssText=\"margin: 0 auto; display: flex; padding: 5px; align-items: stretch; width: 100%;\";const t=\"text-align: center; min-width: 20px; flex-grow: 1; margin: 2px\",s=\"text-align: center; min-width: 40px; flex-grow: 2; margin: 2px\",i=document.createElement(\"button\");i.style.cssText=t,i.appendChild(document.createTextNode(\"–\")),i.onclick=()=>this.slower(),e.appendChild(i);const l=document.createElement(\"button\");l.style.cssText=s,l.appendChild(document.createTextNode(\"❚◀◀\")),l.onclick=()=>this.first_frame(),e.appendChild(l);const r=document.createElement(\"button\");r.style.cssText=s,r.appendChild(document.createTextNode(\"❚◀\")),r.onclick=()=>this.previous_frame(),e.appendChild(r);const d=document.createElement(\"button\");d.style.cssText=s,d.appendChild(document.createTextNode(\"◀\")),d.onclick=()=>this.reverse_animation(),e.appendChild(d);const h=document.createElement(\"button\");h.style.cssText=s,h.appendChild(document.createTextNode(\"❚❚\")),h.onclick=()=>this.pause_animation(),e.appendChild(h);const p=document.createElement(\"button\");p.style.cssText=s,p.appendChild(document.createTextNode(\"▶\")),p.onclick=()=>this.play_animation(),e.appendChild(p);const c=document.createElement(\"button\");c.style.cssText=s,c.appendChild(document.createTextNode(\"▶❚\")),c.onclick=()=>this.next_frame(),e.appendChild(c);const m=document.createElement(\"button\");m.style.cssText=s,m.appendChild(document.createTextNode(\"▶▶❚\")),m.onclick=()=>this.last_frame(),e.appendChild(m);const _=document.createElement(\"button\");_.style.cssText=t,_.appendChild(document.createTextNode(\"+\")),_.onclick=()=>this.faster(),e.appendChild(_),this._toggle_reverse=()=>{a([h,p]),n([d])},this._toogle_pause=()=>{a([d,p]),n([h])},this._toggle_play=()=>{a([d,h]),n([p])},this.loop_state=document.createElement(\"form\"),this.loop_state.style.cssText=\"margin: 0 auto; display: table\";const u=document.createElement(\"input\");u.type=\"radio\",u.value=\"once\",u.name=\"state\";const g=document.createElement(\"label\");g.innerHTML=\"Once\",g.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const f=document.createElement(\"input\");f.setAttribute(\"type\",\"radio\"),f.setAttribute(\"value\",\"loop\"),f.setAttribute(\"name\",\"state\");const v=document.createElement(\"label\");v.innerHTML=\"Loop\",v.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const y=document.createElement(\"input\");y.setAttribute(\"type\",\"radio\"),y.setAttribute(\"value\",\"reflect\"),y.setAttribute(\"name\",\"state\");const x=document.createElement(\"label\");x.innerHTML=\"Reflect\",x.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\",\"once\"==this.model.loop_policy?u.checked=!0:\"loop\"==this.model.loop_policy?f.checked=!0:y.checked=!0,this.loop_state.appendChild(u),this.loop_state.appendChild(g),this.loop_state.appendChild(f),this.loop_state.appendChild(v),this.loop_state.appendChild(y),this.loop_state.appendChild(x),this.groupEl.appendChild(this.sliderEl),this.groupEl.appendChild(e),this.model.show_loop_controls&&this.groupEl.appendChild(this.loop_state),this.el.appendChild(this.groupEl)}set_frame(e){this.model.value!=e&&(this.model.value=e),this.sliderEl.value!=String(e)&&(this.sliderEl.value=String(e))}get_loop_state(){for(var e=this.loop_state.state,t=0;t<e.length;t++){var s=e[t];if(s.checked)return s.value}return\"once\"}set_loop_state(e){for(var t=this.loop_state.state,s=0;s<t.length;s++){var i=t[s];i.value==e&&(i.checked=!0)}}next_frame(){this.set_frame(Math.min(this.model.end,this.model.value+this.model.step))}previous_frame(){this.set_frame(Math.max(this.model.start,this.model.value-this.model.step))}first_frame(){this.set_frame(this.model.start)}last_frame(){this.set_frame(this.model.end)}slower(){this.model.interval=Math.round(this.model.interval/.7),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}faster(){this.model.interval=Math.round(.7*this.model.interval),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}anim_step_forward(){if(this.model.value<this.model.end)this.next_frame();else{var e=this.get_loop_state();\"loop\"==e?this.first_frame():\"reflect\"==e?(this.last_frame(),this.reverse_animation()):(this.pause_animation(),this.last_frame())}}anim_step_reverse(){if(this.model.value>this.model.start)this.previous_frame();else{var e=this.get_loop_state();\"loop\"==e?this.last_frame():\"reflect\"==e?(this.first_frame(),this.play_animation()):(this.pause_animation(),this.first_frame())}}pause_animation(){this._toogle_pause(),this.model.direction=0,this.timer&&(clearInterval(this.timer),this.timer=null)}play_animation(){this.pause_animation(),this._toggle_play(),this.model.direction=1,this.timer||(this.timer=setInterval(()=>this.anim_step_forward(),this.model.interval))}reverse_animation(){this.pause_animation(),this._toggle_reverse(),this.model.direction=-1,this.timer||(this.timer=setInterval(()=>this.anim_step_reverse(),this.model.interval))}}s.PlayerView=r,r.__name__=\"PlayerView\";class d extends l.Widget{constructor(e){super(e)}static init_Player(){this.prototype.default_view=r,this.define({direction:[i.Number,0],interval:[i.Number,500],start:[i.Number],end:[i.Number],step:[i.Number,1],loop_policy:[i.Any,\"once\"],value:[i.Any,0],show_loop_controls:[i.Boolean,!0]}),this.override({width:400})}}s.Player=d,d.__name__=\"Player\",d.__module__=\"panel.models.widgets\",d.init_Player()},\n      \"56da045fbd\": function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),l=t(\"@bokehjs/core/util/object\"),r=t(\"@bokehjs/core/util/eq\"),s=t(\"@bokehjs/models/layouts/html_box\"),n=t(\"99a25e6992\"),a=t(\"990b5dd5c7\"),p=t(\"7116a7a602\"),h=(t,e,o)=>{let i=Array.isArray(e)?[]:{};if(\"click\"===o||\"hover\"===o||\"selected\"===o){const o=[];if(null==e)return null;const l=t.data;for(let t=0;t<e.points.length;t++){const i=e.points[t];let r={};for(let t in i){const e=i[t];!i.hasOwnProperty(t)||Array.isArray(e)||a.isPlainObject(e)||(r[t]=e)}null!=i&&(i.hasOwnProperty(\"curveNumber\")&&i.hasOwnProperty(\"pointNumber\")&&l[i.curveNumber].hasOwnProperty(\"customdata\")&&(r.customdata=l[i.curveNumber].customdata[i.pointNumber]),i.hasOwnProperty(\"pointNumbers\")&&(r.pointNumbers=i.pointNumbers)),o[t]=r}i.points=o}else if(\"relayout\"===o||\"restyle\"===o)for(let t in e)e.hasOwnProperty(t)&&(i[t]=e[t]);return e.hasOwnProperty(\"range\")&&(i.range=e.range),e.hasOwnProperty(\"lassoPoints\")&&(i.lassoPoints=e.lassoPoints),i};class _ extends p.PanelHTMLBoxView{constructor(){super(...arguments),this._settingViewport=!1,this._plotInitialized=!1,this._reacting=!1,this._relayouting=!1,this._end_relayouting=n.debounce(()=>{this._relayouting=!1},2e3,!1)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.viewport_update_policy.change,this._updateSetViewportFunction),this.connect(this.model.properties.viewport_update_throttle.change,this._updateSetViewportFunction),this.connect(this.model.properties._render_count.change,this.plot),this.connect(this.model.properties.viewport.change,this._updateViewportFromProperty)}render(){super.render(),window.Plotly&&this.plot()}plot(){if(!window.Plotly)return;const t=[];for(let e=0;e<this.model.data.length;e++)t.push(this._get_trace(e,!1));let e=a.deepCopy(this.model.layout);if(this._relayouting){const t=this.el.layout;Object.keys(t).reduce((t,o)=>{\"axis\"===o.slice(1,5)&&\"range\"in t&&(e[o].range=t.range)},{})}this._reacting=!0,window.Plotly.react(this.el,t,e,this.model.config).then(()=>{this._updateSetViewportFunction(),this._updateViewportProperty(),this._plotInitialized||(this.el.on(\"plotly_relayout\",t=>{!0!==t._update_from_property&&(this.model.relayout_data=h(this.el,t,\"relayout\"),this._updateViewportProperty(),this._end_relayouting())}),this.el.on(\"plotly_relayouting\",()=>{\"mouseup\"!==this.model.viewport_update_policy&&(this._relayouting=!0,this._updateViewportProperty())}),this.el.on(\"plotly_restyle\",t=>{this.model.restyle_data=h(this.el,t,\"restyle\"),this._updateViewportProperty()}),this.el.on(\"plotly_click\",t=>{this.model.click_data=h(this.el,t,\"click\")}),this.el.on(\"plotly_hover\",t=>{this.model.hover_data=h(this.el,t,\"hover\")}),this.el.on(\"plotly_selected\",t=>{this.model.selected_data=h(this.el,t,\"selected\")}),this.el.on(\"plotly_clickannotation\",t=>{delete t.event,delete t.fullAnnotation,this.model.clickannotation_data=t}),this.el.on(\"plotly_deselect\",()=>{this.model.selected_data=null}),this.el.on(\"plotly_unhover\",()=>{this.model.hover_data=null})),this._plotInitialized=!0,this._reacting=!1})}_get_trace(t,e){const o=l.clone(this.model.data[t]),i=this.model.data_sources[t];for(const t of i.columns()){let l=i.get_array(t)[0];if(null!=l.shape&&l.shape.length>1){const t=[],e=l.shape;for(let o=0;o<e[0];o++)t.push(l.slice(o*e[1],(o+1)*e[1]));l=t}let r=t.split(\".\"),s=r[r.length-1],n=o;for(let t of r.slice(0,-1))n=n[t];e&&1==r.length?n[s]=[l]:n[s]=l}return o}_updateViewportFromProperty(){if(!window.Plotly||this._settingViewport||this._reacting||!this.model.viewport)return;const t=this.el._fullLayout;Object.keys(this.model.viewport).reduce((e,o)=>{if(r.isEqual(a.get(t,o),e))return!0;{let t=a.deepCopy(this.model.viewport);return t._update_from_property=!0,window.Plotly.relayout(this.el,t),!1}},{})}_updateViewportProperty(){const t=this.el._fullLayout;let e={};for(let o in t){if(!t.hasOwnProperty(o))continue;let i=o.slice(0,5);\"xaxis\"!==i&&\"yaxis\"!==i||(e[o+\".range\"]=a.deepCopy(t[o].range))}r.isEqual(e,this.model.viewport)||this._setViewport(e)}_updateSetViewportFunction(){\"continuous\"===this.model.viewport_update_policy||\"mouseup\"===this.model.viewport_update_policy?this._setViewport=t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}:this._setViewport=a.throttle(t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)},this.model.viewport_update_throttle)}}o.PlotlyPlotView=_,_.__name__=\"PlotlyPlotView\";class d extends s.HTMLBox{constructor(t){super(t)}static init_PlotlyPlot(){this.prototype.default_view=_,this.define({data:[i.Array,[]],layout:[i.Any,{}],config:[i.Any,{}],data_sources:[i.Array,[]],relayout_data:[i.Any,{}],restyle_data:[i.Array,[]],click_data:[i.Any,{}],hover_data:[i.Any,{}],clickannotation_data:[i.Any,{}],selected_data:[i.Any,{}],viewport:[i.Any,{}],viewport_update_policy:[i.String,\"mouseup\"],viewport_update_throttle:[i.Number,200],_render_count:[i.Number,0]})}}o.PlotlyPlot=d,d.__name__=\"PlotlyPlot\",d.__module__=\"panel.models.plotly\",d.init_PlotlyPlot()},\n      \"99a25e6992\": function _(n,l,u){function t(n,l,u){var t,e,o,a,r;function i(){var c=Date.now()-a;c<l&&c>=0?t=setTimeout(i,l-c):(t=null,u||(r=n.apply(o,e),o=e=null))}null==l&&(l=100);var c=function(){o=this,e=arguments,a=Date.now();var c=u&&!t;return t||(t=setTimeout(i,l)),c&&(r=n.apply(o,e),o=e=null),r};return c.clear=function(){t&&(clearTimeout(t),t=null)},c.flush=function(){t&&(r=n.apply(o,e),o=e=null,clearTimeout(t),t=null)},c}t.debounce=t,l.exports=t},\n      \"990b5dd5c7\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.get=(t,e,n)=>{const r=n=>String.prototype.split.call(e,n).filter(Boolean).reduce((t,e)=>null!=t?t[e]:t,t),o=r(/[,[\\]]+?/)||r(/[,[\\].]+?/);return void 0===o||o===t?n:o},n.throttle=function(t,e){var n=0;return function(){var r=Number(new Date);r-n>=e&&(t(),n=r)}},n.deepCopy=function t(e){var n;if(null==e||\"object\"!=typeof e)return e;if(e instanceof Array){n=[];for(var r=0,o=e.length;r<o;r++)n[r]=t(e[r]);return n}if(e instanceof Object){const n={};for(const r in e){const o=r;e.hasOwnProperty(o)&&(n[o]=t(e[o]))}return n}throw new Error(\"Unable to copy obj! Its type isn't supported.\")},n.isPlainObject=function(t){return\"[object Object]\"===Object.prototype.toString.call(t)}},\n      \"76307e5afa\": function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),r=e(\"7116a7a602\");class l extends o.HTMLBoxView{connect_signals(){super.connect_signals();const e=()=>{this.render(),this.root.compute_layout()};this.connect(this.model.properties.height.change,e),this.connect(this.model.properties.width.change,e),this.connect(this.model.properties.height_policy.change,e),this.connect(this.model.properties.width_policy.change,e),this.connect(this.model.properties.sizing_mode.change,e),this.connect(this.model.properties.active.change,()=>this.setCSS()),this.connect(this.model.properties.bar_color.change,()=>this.setCSS()),this.connect(this.model.properties.css_classes.change,()=>this.setCSS()),this.connect(this.model.properties.value.change,()=>this.setValue()),this.connect(this.model.properties.max.change,()=>this.setMax())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.progressEl=document.createElement(\"progress\"),this.setValue(),this.setMax(),r.set_size(this.progressEl,this.model),this.setCSS();for(const s in e)this.progressEl.style.setProperty(s,e[s]);this.el.appendChild(this.progressEl)}setCSS(){let e=this.model.css_classes.join(\" \")+\" \"+this.model.bar_color;this.model.active&&(e+=\" active\"),this.progressEl.className=e}setValue(){null!=this.model.value&&(this.progressEl.value=this.model.value)}setMax(){null!=this.model.max&&(this.progressEl.max=this.model.max)}_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new r.CachedVariadicBox(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}}t.ProgressView=l,l.__name__=\"ProgressView\";class h extends o.HTMLBox{constructor(e){super(e)}static init_Progress(){this.prototype.default_view=l,this.define({active:[i.Boolean,!0],bar_color:[i.String,\"primary\"],style:[i.Any,{}],max:[i.Number,100],value:[i.Number,null]})}}t.Progress=h,h.__name__=\"Progress\",h.__module__=\"panel.models.widgets\",h.init_Progress()},\n      \"38b2bc9574\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),a=e(\"@bokehjs/core/view\"),o=e(\"@bokehjs/core/util/array\"),c=e(\"@bokehjs/model\"),n=e(\"@bokehjs/protocol/receiver\");class r extends a.View{renderTo(){}}s.StateView=r,r.__name__=\"StateView\";class _ extends c.Model{constructor(e){super(e),this._receiver=new n.Receiver,this._cache={}}apply_state(e){this._receiver.consume(e.header),this._receiver.consume(e.metadata),this._receiver.consume(e.content),this._receiver.message&&this.document&&this.document.apply_json_patch(this._receiver.message.content)}_receive_json(e,t){const s=JSON.parse(e);this._cache[t]=s;let i=this.state;for(const e of this.values)i=i[e];i===t?this.apply_state(s):this._cache[i]&&this.apply_state(this._cache[i])}set_state(e,t){let s=o.copy(this.values);s[this.widgets[e.id]]=t;let i=this.state;for(const e of s)i=i[e];var a,c,n;this.values=s,this.json?this._cache[i]?this.apply_state(this._cache[i]):(a=i,c=e=>this._receive_json(e,i),(n=new XMLHttpRequest).overrideMimeType(\"application/json\"),n.open(\"GET\",a,!0),n.onreadystatechange=function(){4==n.readyState&&200==n.status&&c(n.responseText)},n.send(null)):this.apply_state(i)}static init_State(){this.prototype.default_view=r,this.define({json:[i.Boolean,!1],state:[i.Any,{}],widgets:[i.Any,{}],values:[i.Any,[]]})}}s.State=_,_.__name__=\"State\",_.__module__=\"panel.models.state\",_.init_State()},\n      \"294adeb985\": function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),a=t(\"@bokehjs/core/util/types\"),n=t(\"@bokehjs/models/layouts/html_box\");class c extends n.HTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,this._plot),this.connect(this.model.properties.data_sources.change,()=>this._connect_sources()),this._connected=[],this._connect_sources()}_connect_sources(){for(const t in this.model.data_sources){const e=this.model.data_sources[t];this._connected.indexOf(t)<0&&(this.connect(e.properties.data.change,this._plot),this._connected.push(t))}}_fetch_datasets(){const t={};for(const e in this.model.data_sources){const s=this.model.data_sources[e],o=[],a=s.columns();for(let t=0;t<s.get_length();t++){const e={};for(const o of a)e[o]=s.data[o][t];o.push(e)}t[e]=o}return t}render(){super.render(),this._plot()}_plot(){const t=this.model.data;if(null!=t&&window.vegaEmbed){if(this.model.data_sources&&Object.keys(this.model.data_sources).length>0){const e=this._fetch_datasets();if(\"data\"in e&&(t.data.values=e.data,delete e.data),null!=t.data){const s=a.isArray(t.data)?t.data:[t.data];for(const t of s)t.name in e&&(t.values=e[t.name],delete e[t.name])}this.model.data.datasets=e}window.vegaEmbed(this.el,this.model.data,{actions:!1})}}}s.VegaPlotView=c,c.__name__=\"VegaPlotView\";class i extends n.HTMLBox{constructor(t){super(t)}static init_VegaPlot(){this.prototype.default_view=c,this.define({data:[o.Any],data_sources:[o.Any]})}}s.VegaPlot=i,i.__name__=\"VegaPlot\",i.__module__=\"panel.models.vega\",i.init_VegaPlot()},\n      \"b0c3e9e9c2\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.videoEl.controls=!0,this.videoEl.src=this.model.value,this.videoEl.currentTime=this.model.time,this.videoEl.loop=this.model.loop,null!=this.model.volume?this.videoEl.volume=this.model.volume/100:this.model.volume=100*this.videoEl.volume,this.videoEl.onpause=()=>this.model.paused=!0,this.videoEl.onplay=()=>this.model.paused=!1,this.videoEl.ontimeupdate=()=>this.update_time(this),this.videoEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.videoEl),this.model.paused||this.videoEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.videoEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.videoEl.volume)}set_loop(){this.videoEl.loop=this.model.loop}set_paused(){!this.videoEl.paused&&this.model.paused&&this.videoEl.pause(),this.videoEl.paused&&!this.model.paused&&this.videoEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.videoEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.videoEl.currentTime=this.model.time)}set_value(){this.videoEl.src=this.model.value}}t.VideoView=d,d.__name__=\"VideoView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_Video(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}t.Video=h,h.__name__=\"Video\",h.__module__=\"panel.models.widgets\",h.init_Video()},\n      \"3c7145a2fa\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"7116a7a602\");class a extends h.PanelHTMLBoxView{constructor(){super(...arguments),this.constraints={audio:!1,video:!0}}initialize(){super.initialize(),null!==this.model.timeout&&this.set_timeout()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.timeout.change,()=>this.set_timeout()),this.connect(this.model.properties.snapshot.change,()=>this.snapshot()),this.connect(this.model.properties.paused.change,()=>this.pause())}pause(){this.model.paused&&(null!=this.timer&&(clearInterval(this.timer),this.timer=null),this.videoEl.pause()),this.set_timeout()}set_timeout(){this.timer&&(clearInterval(this.timer),this.timer=null),this.model.timeout>0&&(this.timer=setInterval(()=>this.snapshot(),this.model.timeout))}snapshot(){this.canvasEl.width=this.videoEl.videoWidth,this.canvasEl.height=this.videoEl.videoHeight;const e=this.canvasEl.getContext(\"2d\");e&&e.drawImage(this.videoEl,0,0,this.canvasEl.width,this.canvasEl.height),this.model.value=this.canvasEl.toDataURL(\"image/\"+this.model.format,.95)}remove(){super.remove(),this.timer&&(clearInterval(this.timer),this.timer=null)}render(){super.render(),this.videoEl||(this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.canvasEl=document.createElement(\"canvas\"),this.el.appendChild(this.videoEl),navigator.mediaDevices.getUserMedia&&navigator.mediaDevices.getUserMedia(this.constraints).then(e=>{this.videoEl.srcObject=e,this.model.paused||this.videoEl.play()}).catch(console.error))}}i.VideoStreamView=a,a.__name__=\"VideoStreamView\";class l extends o.HTMLBox{constructor(e){super(e)}static init_VideoStream(){this.prototype.default_view=a,this.define({format:[s.String,\"png\"],paused:[s.Boolean,!1],snapshot:[s.Boolean,!1],timeout:[s.Number,0],value:[s.Any]}),this.override({height:240,width:320})}}i.VideoStream=l,l.__name__=\"VideoStream\",l.__module__=\"panel.models.widgets\",l.init_VideoStream()},\n      \"ecfbb965eb\": function _(e,o,l){Object.defineProperty(l,\"__esModule\",{value:!0});var V=e(\"5b5e56e89a\");l.VTKPlot=V.VTKPlot;var t=e(\"729dd26c71\");l.VTKVolumePlot=t.VTKVolumePlot;var K=e(\"e23461e5d7\");l.VTKAxes=K.VTKAxes},\n      \"5b5e56e89a\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/core/dom\"),a=e(\"c704c63c0a\"),o=e(\"aaf560d219\");class r extends a.AbstractVTKView{constructor(){super(...arguments),this._axes_initialized=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.axes.change,()=>{this._delete_axes(),this.model.axes&&this._set_axes(),this._vtk_renwin.getRenderWindow().render()}),this.el.addEventListener(\"mouseenter\",()=>{const e=this._vtk_renwin.getInteractor();this.model.enable_keybindings&&(document.querySelector(\"body\").addEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").addEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").addEventListener(\"keyup\",e.handleKeyUp))}),this.el.addEventListener(\"mouseleave\",()=>{const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)})}render(){super.render(),this._axes=null,this._axes_initialized=!1,this._plot()}after_layout(){this._axes_initialized||(this._render_axes_canvas(),this._axes_initialized=!0)}_render_axes_canvas(){const e=this._vtk_container.getElementsByTagName(\"canvas\");if(1!=e.length)throw Error(\"Error at initialization of the 3D scene, container should have one and only one canvas\");e[0].classList.add(\"scene3d-canvas\");const t=i.canvas({style:{position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"}});t.classList.add(\"axes-canvas\"),this._vtk_container.appendChild(t),this._vtk_renwin.setResizeCallback(()=>{const e=this._vtk_container.getBoundingClientRect(),n=Math.floor(e.width*window.devicePixelRatio),s=Math.floor(e.height*window.devicePixelRatio);t.setAttribute(\"width\",n.toFixed()),t.setAttribute(\"height\",s.toFixed())})}_delete_axes(){if(null==this._axes)return;Object.keys(this._axes).forEach(e=>this._vtk_renwin.getRenderer().removeActor(this._axes[e]));const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],t=e.getContext(\"2d\");t&&t.clearRect(0,0,e.clientWidth*window.devicePixelRatio,e.clientHeight*window.devicePixelRatio),this._axes=null}_set_axes(){if(this.model.axes){const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],{psActor:t,axesActor:n,gridActor:s}=this.model.axes.create_axes(e);this._axes={psActor:t,axesActor:n,gridActor:s},this._vtk_renwin.getRenderer().addActor(t),this._vtk_renwin.getRenderer().addActor(n),this._vtk_renwin.getRenderer().addActor(s)}}_plot(){if(!this.model.data)return void this._vtk_renwin.getRenderWindow().render();const e=o.vtkns.DataAccessHelper.get(\"zip\",{zipContent:atob(this.model.data),callback:t=>{const n=o.vtkns.HttpSceneLoader.newInstance({renderer:this._vtk_renwin.getRenderer(),dataAccessHelper:e}),s=o.vtk.macro.debounce(()=>{null==this._axes&&this.model.axes&&this._set_axes(),this.model.properties.camera.change.emit()},100);n.setUrl(\"index.json\"),n.onReady(s)}})}}n.VTKPlotView=r,r.__name__=\"VTKPlotView\";class d extends a.AbstractVTKPlot{constructor(e){super(e),this.outline=o.vtkns.OutlineFilter.newInstance();const t=o.vtkns.Mapper.newInstance();t.setInputConnection(this.outline.getOutputPort()),this.outline_actor=o.vtkns.Actor.newInstance(),this.outline_actor.setMapper(t)}static init_VTKPlot(){this.prototype.default_view=r,this.define({data:[s.String],axes:[s.Instance],enable_keybindings:[s.Boolean,!1]})}}n.VTKPlot=d,d.__name__=\"VTKPlot\",d.init_VTKPlot()},\n      \"c704c63c0a\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"@bokehjs/core/dom\"),s=e(\"@bokehjs/core/util/object\"),a=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"7116a7a602\"),_=e(\"aaf560d219\");class d extends o.PanelHTMLBoxView{constructor(){super(...arguments),this._setting_camera=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>{this.invalidate_render()}),this.connect(this.model.properties.orientation_widget.change,()=>{this._orientation_widget_visibility(this.model.orientation_widget)}),this.connect(this.model.properties.camera.change,()=>this._set_camera_state())}_orientation_widget_visibility(e){this._orientationWidget.setEnabled(e),e?this._widgetManager.enablePicking():this._widgetManager.disablePicking(),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderWindow().render()}_create_orientation_widget(){const e=_.vtkns.AxesActor.newInstance(),t=_.vtkns.OrientationMarkerWidget.newInstance({actor:e,interactor:this._vtk_renwin.getInteractor()});t.setEnabled(!0),t.setViewportCorner(_.vtkns.OrientationMarkerWidget.Corners.BOTTOM_RIGHT),t.setViewportSize(.15),t.setMinPixelSize(100),t.setMaxPixelSize(300),this._orientationWidget=t;const i=_.vtkns.WidgetManager.newInstance();i.setRenderer(t.getRenderer());const n=_.vtkns.InteractiveOrientationWidget.newInstance();n.placeWidget(e.getBounds()),n.setBounds(e.getBounds()),n.setPlaceFactor(1);const r=i.addWidget(n);this._widgetManager=i,r.onOrientationChange(({direction:e})=>{const t=this._vtk_renwin.getRenderer().getActiveCamera(),i=t.getFocalPoint(),n=t.getPosition(),r=t.getViewUp(),s=Math.sqrt(Math.pow(n[0]-i[0],2)+Math.pow(n[1]-i[1],2)+Math.pow(n[2]-i[2],2));t.setPosition(i[0]+e[0]*s,i[1]+e[1]*s,i[2]+e[2]*s),e[0]&&t.setViewUp(_.majorAxis(r,1,2)),e[1]&&t.setViewUp(_.majorAxis(r,0,2)),e[2]&&t.setViewUp(_.majorAxis(r,0,1)),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}),this._orientation_widget_visibility(this.model.orientation_widget)}_get_camera_state(){if(!this._setting_camera){this._setting_camera=!0;const e=s.clone(this._vtk_renwin.getRenderer().getActiveCamera().get());delete e.classHierarchy,delete e.vtkObject,delete e.vtkCamera,delete e.viewPlaneNormal,this.model.camera=e,this._setting_camera=!1}}_set_camera_state(){if(!this._setting_camera){this._setting_camera=!0;try{this.model.camera&&this._vtk_renwin.getRenderer().getActiveCamera().set(this.model.camera)}finally{this._setting_camera=!1}this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}}render(){super.render(),this._orientationWidget=null,this._vtk_container=r.div(),o.set_size(this._vtk_container,this.model),this.el.appendChild(this._vtk_container),this._vtk_renwin=_.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container}),this._remove_default_key_binding(),this._create_orientation_widget(),this._vtk_renwin.getRenderer().getActiveCamera().onModified(()=>this._get_camera_state()),this._set_camera_state(),this.model.renderer_el=this._vtk_renwin}after_layout(){super.after_layout(),this._vtk_renwin.resize()}_remove_default_key_binding(){const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}}i.AbstractVTKView=d,d.__name__=\"AbstractVTKView\";class c extends a.HTMLBox{constructor(e){super(e)}getActors(){return this.renderer_el.getRenderer().getActors()}static init_AbstractVTKPlot(){this.define({orientation_widget:[n.Boolean,!1],camera:[n.Instance]}),this.override({height:300,width:300})}}i.AbstractVTKPlot=c,c.__name__=\"AbstractVTKPlot\",c.__module__=\"panel.models.vtk\",c.init_AbstractVTKPlot()},\n      \"aaf560d219\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"@bokehjs/core/util/array\");function a(t){const e=Math.min(Math.max(Math.round(t),0),255).toString(16);return 2==e.length?e:\"0\"+e}function o(t,e,n){return\"#\"+a(t)+a(e)+a(n)}function i(t){for(var e=new ArrayBuffer(t.length),n=new Uint8Array(e),r=0,a=t.length;r<a;r++)n[r]=t.charCodeAt(r);return e}n.ARRAY_TYPES={uint8:Uint8Array,int8:Int8Array,uint16:Uint16Array,int16:Int16Array,uint32:Uint32Array,int32:Int32Array,float32:Float32Array,float64:Float64Array},n.vtk=window.vtk,n.vtkns={},n.vtk&&(n.vtkns.DataArray=n.vtk.Common.Core.vtkDataArray,n.vtkns.ImageData=n.vtk.Common.DataModel.vtkImageData,n.vtkns.OutlineFilter=n.vtk.Filters.General.vtkOutlineFilter,n.vtkns.CubeSource=n.vtk.Filters.Sources.vtkCubeSource,n.vtkns.LineSource=n.vtk.Filters.Sources.vtkLineSource,n.vtkns.PlaneSource=n.vtk.Filters.Sources.vtkPlaneSource,n.vtkns.PointSource=n.vtk.Filters.Sources.vtkPointSource,n.vtkns.OrientationMarkerWidget=n.vtk.Interaction.Widgets.vtkOrientationMarkerWidget,n.vtkns.DataAccessHelper=n.vtk.IO.Core.DataAccessHelper,n.vtkns.HttpSceneLoader=n.vtk.IO.Core.vtkHttpSceneLoader,n.vtkns.ImageSlice=n.vtk.Rendering.Core.vtkImageSlice,n.vtkns.Actor=n.vtk.Rendering.Core.vtkActor,n.vtkns.AxesActor=n.vtk.Rendering.Core.vtkAxesActor,n.vtkns.Mapper=n.vtk.Rendering.Core.vtkMapper,n.vtkns.ImageMapper=n.vtk.Rendering.Core.vtkImageMapper,n.vtkns.SphereMapper=n.vtk.Rendering.Core.vtkSphereMapper,n.vtkns.WidgetManager=n.vtk.Widgets.Core.vtkWidgetManager,n.vtkns.InteractiveOrientationWidget=n.vtk.Widgets.Widgets3D.vtkInteractiveOrientationWidget,n.vtkns.PixelSpaceCallbackMapper=n.vtk.Rendering.Core.vtkPixelSpaceCallbackMapper,n.vtkns.FullScreenRenderWindow=n.vtk.Rendering.Misc.vtkFullScreenRenderWindow,n.vtkns.VolumeController=n.vtk.Interaction.UI.vtkVolumeController,n.vtkns.Volume=n.vtk.Rendering.Core.vtkVolume,n.vtkns.VolumeMapper=n.vtk.Rendering.Core.vtkVolumeMapper,n.vtkns.ColorTransferFunction=n.vtk.Rendering.Core.vtkColorTransferFunction,n.vtkns.PiecewiseFunction=n.vtk.Common.DataModel.vtkPiecewiseFunction,n.vtkns.BoundingBox=n.vtk.Common.DataModel.vtkBoundingBox),n.hexToRGB=function(t){return[parseInt(t.slice(1,3),16)/255,parseInt(t.slice(3,5),16)/255,parseInt(t.slice(5,7),16)/255]},n.rgbToHex=o,n.vtkLutToMapper=function(t){const{scale:e,nodes:a}=t.get(\"scale\",\"nodes\");if(e!==n.vtkns.ColorTransferFunction.Scale.LINEAR)throw\"Error transfer function scale not handle\";const i=a.map(t=>t.x),s=Math.min(...i),k=Math.max(...i),v=r.linspace(s,k,255),c=[0,0,0];return{low:s,high:k,palette:v.map(e=>(t.getColor(e,c),o(255*c[0],255*c[1],255*c[2])))}},n.data2VTKImageData=function(t){const e=n.vtkns.ImageData.newInstance({spacing:t.spacing});e.setDimensions(t.dims),e.setOrigin(null!=t.origin?t.origin:t.dims.map(t=>t/2));const r=n.vtkns.DataArray.newInstance({name:\"scalars\",numberOfComponents:1,values:new n.ARRAY_TYPES[t.dtype](i(atob(t.buffer)))});return e.getPointData().setScalars(r),e},n.majorAxis=function(t,e,n){const r=[0,0,0],a=Math.abs(t[e])>Math.abs(t[n])?e:n,o=t[a]>0?1:-1;return r[a]=o,r},n.cartesian_product=function(...t){return t.reduce((t,e)=>t.flatMap(t=>e.map(e=>[].concat(t,e))))}},\n      \"729dd26c71\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"c704c63c0a\"),n=e(\"aaf560d219\");class o extends r.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.colormap.change,()=>{this.colormap_slector.value=this.model.colormap;const e=new Event(\"change\");this.colormap_slector.dispatchEvent(e)}),this.connect(this.model.properties.shadow.change,()=>{this.shadow_selector.value=this.model.shadow?\"1\":\"0\";const e=new Event(\"change\");this.shadow_selector.dispatchEvent(e)}),this.connect(this.model.properties.sampling.change,()=>{this.sampling_slider.value=this.model.sampling.toFixed(2);const e=new Event(\"input\");this.sampling_slider.dispatchEvent(e)}),this.connect(this.model.properties.edge_gradient.change,()=>{this.edge_gradient_slider.value=this.model.edge_gradient.toFixed(2);const e=new Event(\"input\");this.edge_gradient_slider.dispatchEvent(e)}),this.connect(this.model.properties.rescale.change,()=>{this._controllerWidget.setRescaleColorMap(this.model.rescale),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.ambient.change,()=>{this.volume.getProperty().setAmbient(this.model.ambient),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.diffuse.change,()=>{this.volume.getProperty().setDiffuse(this.model.diffuse),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular.change,()=>{this.volume.getProperty().setSpecular(this.model.specular),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular_power.change,()=>{this.volume.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_volume.change,()=>{this._set_volume_visibility(this.model.display_volume),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_slices.change,()=>{this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_i.change,()=>{this.image_actor_i.getMapper().setISlice(this.model.slice_i),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_j.change,()=>{this.image_actor_j.getMapper().setJSlice(this.model.slice_j),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_k.change,()=>{this.image_actor_k.getMapper().setKSlice(this.model.slice_k),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.render_background.change,()=>{this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.interpolation.change,()=>{this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderWindow().render()})}get volume(){return this._controllerWidget.getActor()}get image_actor_i(){return this._vtk_renwin.getRenderer().getActors()[0]}get image_actor_j(){return this._vtk_renwin.getRenderer().getActors()[1]}get image_actor_k(){return this._vtk_renwin.getRenderer().getActors()[2]}get shadow_selector(){return this.el.querySelector(\".js-shadow\")}get edge_gradient_slider(){return this.el.querySelector(\".js-edge\")}get sampling_slider(){return this.el.querySelector(\".js-spacing\")}get colormap_slector(){return this.el.querySelector(\".js-color-preset\")}_set_interpolation(e){\"fast_linear\"==e?(this.volume.getProperty().setInterpolationTypeToFastLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):\"linear\"==e?(this.volume.getProperty().setInterpolationTypeToLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):(this.volume.getProperty().setInterpolationTypeToNearest(),this.image_actor_i.getProperty().setInterpolationTypeToNearest())}render(){super.render(),this._controllerWidget=n.vtkns.VolumeController.newInstance({size:[400,150],rescaleColorMap:this.model.rescale}),this._vtk_image_data=n.data2VTKImageData(this.model.data),this._controllerWidget.setContainer(this.el),this._vtk_renwin.getRenderWindow().getInteractor(),this._vtk_renwin.getRenderWindow().getInteractor().setDesiredUpdateRate(45),this._plot_volume(),this._connect_controls(),this._plot_slices(),this._set_volume_visibility(this.model.display_volume),this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderer().resetCamera()}_connect_controls(){this.colormap_slector.addEventListener(\"change\",()=>{this.model.colormap=this.colormap_slector.value}),this.model.colormap?this.model.properties.colormap.change.emit():this.model.colormap=this.colormap_slector.value,this.shadow_selector.addEventListener(\"change\",()=>{this.model.shadow=!!Number(this.shadow_selector.value)}),(this.model.shadow=!!Number(this.shadow_selector.value))&&this.model.properties.shadow.change.emit(),this.sampling_slider.addEventListener(\"input\",()=>{const e=Number(this.sampling_slider.value);Math.abs(this.model.sampling-e)>=.005&&(this.model.sampling=e)}),Math.abs(this.model.sampling-Number(this.shadow_selector.value))>=.005&&this.model.properties.sampling.change.emit(),this.edge_gradient_slider.addEventListener(\"input\",()=>{const e=Number(this.edge_gradient_slider.value);Math.abs(this.model.edge_gradient-e)>=.005&&(this.model.edge_gradient=e)}),Math.abs(this.model.edge_gradient-Number(this.edge_gradient_slider.value))>=.005&&this.model.properties.edge_gradient.change.emit()}_plot_volume(){const e=this._vtk_image_data,t=n.vtkns.Volume.newInstance(),i=n.vtkns.VolumeMapper.newInstance();t.setMapper(i),i.setInputData(e);const s=(e.getPointData().getScalars()||e.getPointData().getArrays()[0]).getRange(),r=n.vtkns.ColorTransferFunction.newInstance();r.onModified(()=>this.model.mapper=n.vtkLutToMapper(r));const o=n.vtkns.PiecewiseFunction.newInstance(),a=.7*Math.sqrt(e.getSpacing().map(e=>e*e).reduce((e,t)=>e+t,0));i.setSampleDistance(a),t.getProperty().setRGBTransferFunction(0,r),t.getProperty().setScalarOpacity(0,o),t.getProperty().setInterpolationTypeToFastLinear(),t.getProperty().setScalarOpacityUnitDistance(0,n.vtkns.BoundingBox.getDiagonalLength(e.getBounds())/Math.max(...e.getDimensions())),t.getProperty().setGradientOpacityMinimumValue(0,0),t.getProperty().setGradientOpacityMaximumValue(0,.05*(s[1]-s[0])),t.getProperty().setShade(this.model.shadow),t.getProperty().setUseGradientOpacity(0,!0),t.getProperty().setGradientOpacityMinimumOpacity(0,0),t.getProperty().setGradientOpacityMaximumOpacity(0,1),t.getProperty().setAmbient(this.model.ambient),t.getProperty().setDiffuse(this.model.diffuse),t.getProperty().setSpecular(this.model.specular),t.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderer().addVolume(t),this._controllerWidget.setupContent(this._vtk_renwin.getRenderWindow(),t,!0)}_plot_slices(){const e=this._vtk_image_data,t=n.vtkns.ImageSlice.newInstance(),i=n.vtkns.ImageSlice.newInstance(),s=n.vtkns.ImageSlice.newInstance(),r=n.vtkns.ImageMapper.newInstance(),o=n.vtkns.ImageMapper.newInstance(),a=n.vtkns.ImageMapper.newInstance();r.setInputData(e),r.setISlice(this.model.slice_i),t.setMapper(r),o.setInputData(e),o.setJSlice(this.model.slice_j),i.setMapper(o),a.setInputData(e),a.setKSlice(this.model.slice_k),s.setMapper(a);const l=n.vtkns.PiecewiseFunction.newInstance();l.removeAllPoints(),l.addPoint(0,1);const c=this.volume.getProperty().getRGBTransferFunction(0),d=t.getProperty();i.setProperty(d),s.setProperty(d),d.setRGBTransferFunction(c),d.setScalarOpacity(l);const h=this._vtk_renwin.getRenderer();h.addActor(t),h.addActor(i),h.addActor(s)}_set_volume_visibility(e){this.volume.setVisibility(e)}_set_slices_visibility(e){this._vtk_renwin.getRenderer().getActors().map(t=>t.setVisibility(e))}}i.VTKVolumePlotView=o,o.__name__=\"VTKVolumePlotView\";class a extends r.AbstractVTKPlot{constructor(e){super(e)}static init_VTKVolumePlot(){this.prototype.default_view=o,this.define({data:[s.Instance],shadow:[s.Boolean,!0],sampling:[s.Number,.4],edge_gradient:[s.Number,.2],colormap:[s.String],rescale:[s.Boolean,!1],ambient:[s.Number,.2],diffuse:[s.Number,.7],specular:[s.Number,.3],specular_power:[s.Number,8],slice_i:[s.Int,0],slice_j:[s.Int,0],slice_k:[s.Int,0],display_volume:[s.Boolean,!0],display_slices:[s.Boolean,!1],render_background:[s.String,\"#52576e\"],interpolation:[s.Any,\"fast_linear\"],mapper:[s.Instance]})}}i.VTKVolumePlot=a,a.__name__=\"VTKVolumePlot\",a.init_VTKVolumePlot()},\n      \"e23461e5d7\": function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(\"tslib\"),n=t(\"2f3fd5db07\"),a=t(\"@bokehjs/model\"),c=e.__importStar(t(\"@bokehjs/core/properties\")),r=t(\"aaf560d219\");class h extends a.Model{constructor(t){super(t)}static init_VTKAxes(){this.define({origin:[c.Array],xticker:[c.Instance],yticker:[c.Instance],zticker:[c.Instance],digits:[c.Number,1],show_grid:[c.Boolean,!0],grid_opacity:[c.Number,.1],axes_opacity:[c.Number,1],fontsize:[c.Number,12]})}get xticks(){return this.xticker.ticks}get yticks(){return this.yticker.ticks}get zticks(){return this.zticker.ticks}get xlabels(){return this.xticker.labels?this.xticker.labels:this.xticks.map(t=>t.toFixed(this.digits))}get ylabels(){return this.yticker.labels?this.yticker.labels:this.yticks.map(t=>t.toFixed(this.digits))}get zlabels(){return this.zticker.labels?this.zticker.labels:this.zticks.map(t=>t.toFixed(this.digits))}_make_grid_lines(t,s,i){const e=[];for(let n=0;n<t-1;n++)for(let t=0;t<s-1;t++){const a=n*s+t+i,c=[5,a,n*s+t+1+i,(n+1)*s+t+1+i,(n+1)*s+t+i,a];e.push(c)}return e}_create_grid_axes(){const t=[];t.push(r.cartesian_product(this.xticks,this.yticks,[this.origin[2]])),t.push(r.cartesian_product([this.origin[0]],this.yticks,this.zticks)),t.push(r.cartesian_product(this.xticks,[this.origin[1]],this.zticks));const s=[];let i=0;s.push(this._make_grid_lines(this.xticks.length,this.yticks.length,i)),i+=this.xticks.length*this.yticks.length,s.push(this._make_grid_lines(this.yticks.length,this.zticks.length,i)),i+=this.yticks.length*this.zticks.length,s.push(this._make_grid_lines(this.xticks.length,this.zticks.length,i));const e=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:t.flat(2)},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:s.flat(2)}}),n=r.vtkns.Mapper.newInstance(),a=r.vtkns.Actor.newInstance();return n.setInputData(e),a.setMapper(n),a.getProperty().setOpacity(this.grid_opacity),a.setVisibility(this.show_grid),a}create_axes(t){const s=[this.xticks,this.yticks,this.zticks].map((t,s)=>{let i=null;switch(s){case 0:i=r.cartesian_product(t,[this.origin[1]],[this.origin[2]]);break;case 1:i=r.cartesian_product([this.origin[0]],t,[this.origin[2]]);break;case 2:i=r.cartesian_product([this.origin[0]],[this.origin[1]],t)}return i}).flat(2),i=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:s},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:[2,0,this.xticks.length-1,2,this.xticks.length,this.xticks.length+this.yticks.length-1,2,this.xticks.length+this.yticks.length,this.xticks.length+this.yticks.length+this.zticks.length-1]}}),e=r.vtkns.PixelSpaceCallbackMapper.newInstance();e.setInputData(i),e.setUseZValues(!0),e.setCallback((s,i,a)=>{const c=t.getContext(\"2d\");if(c){const r={height:t.clientHeight*window.devicePixelRatio,width:t.clientWidth*window.devicePixelRatio},h=e.getInputData().getPoints(),l=i.getViewMatrix();n.mat4.transpose(l,l);const o=i.getProjectionMatrix(a,-1,1);n.mat4.transpose(o,o),c.clearRect(0,0,r.width,r.height),s.forEach((t,s)=>{const i=h.getPoint(s),e=n.vec3.fromValues(i[0],i[1],i[2]);if(n.vec3.transformMat4(e,e,l),e[2]+=.05,n.vec3.transformMat4(e,e,o),e[2]-.001<t[3]){let i;c.font=\"30px serif\",c.textAlign=\"center\",c.textBaseline=\"alphabetic\",c.fillText(\".\",t[0],r.height-t[1]+2),c.font=this.fontsize*window.devicePixelRatio+\"px serif\",c.textAlign=\"right\",c.textBaseline=\"top\",i=s<this.xticks.length?this.xlabels[s]:s>=this.xticks.length&&s<this.xticks.length+this.yticks.length?this.ylabels[s-this.xticks.length]:this.zlabels[s-(this.xticks.length+this.yticks.length)],c.fillText(\"\"+i,t[0],r.height-t[1])}})}});const a=r.vtkns.Actor.newInstance();a.setMapper(e);const c=r.vtkns.Mapper.newInstance();c.setInputData(i);const h=r.vtkns.Actor.newInstance();return h.setMapper(c),h.getProperty().setOpacity(this.axes_opacity),{psActor:a,axesActor:h,gridActor:this._create_grid_axes()}}}i.VTKAxes=h,h.__name__=\"VTKAxes\",h.__module__=\"panel.models.vtk\",h.init_VTKAxes()},\n      \"2f3fd5db07\": function _(t,c,a){Object.defineProperty(a,\"__esModule\",{value:!0});const o=t(\"tslib\"),r=o.__importStar(t(\"68ca94c15c\"));a.glMatrix=r;const _=o.__importStar(t(\"7c0b8e6048\"));a.mat2=_;const e=o.__importStar(t(\"dc03f0a621\"));a.mat2d=e;const i=o.__importStar(t(\"0285c50a7e\"));a.mat3=i;const m=o.__importStar(t(\"a427635f32\"));a.mat4=m;const n=o.__importStar(t(\"eb06fc032a\"));a.quat=n;const s=o.__importStar(t(\"277615c682\"));a.quat2=s;const p=o.__importStar(t(\"c56d9ff837\"));a.vec2=p;const S=o.__importStar(t(\"2c5eb22089\"));a.vec3=S;const f=o.__importStar(t(\"c1aa33d719\"));a.vec4=f},\n      \"68ca94c15c\": function _(t,a,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.EPSILON=1e-6,r.ARRAY_TYPE=\"undefined\"!=typeof 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t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t},r.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t},r.fromValues=function(t,n,r,u){var e=new a.ARRAY_TYPE(4);return e[0]=t,e[1]=n,e[2]=r,e[3]=u,e},r.set=function(t,n,r,a,u){return t[0]=n,t[1]=r,t[2]=a,t[3]=u,t},r.transpose=function(t,n){if(t===n){var r=n[1];t[1]=n[2],t[2]=r}else t[0]=n[0],t[1]=n[2],t[2]=n[1],t[3]=n[3];return t},r.invert=function(t,n){var r=n[0],a=n[1],u=n[2],e=n[3],o=r*e-u*a;return o?(o=1/o,t[0]=e*o,t[1]=-a*o,t[2]=-u*o,t[3]=r*o,t):null},r.adjoint=function(t,n){var r=n[0];return t[0]=n[3],t[1]=-n[1],t[2]=-n[2],t[3]=r,t},r.determinant=function(t){return t[0]*t[3]-t[2]*t[1]},r.multiply=u,r.rotate=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=Math.sin(r),i=Math.cos(r);return t[0]=a*i+e*c,t[1]=u*i+o*c,t[2]=a*-c+e*i,t[3]=u*-c+o*i,t},r.scale=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1];return t[0]=a*c,t[1]=u*c,t[2]=e*i,t[3]=o*i,t},r.fromRotation=function(t,n){var r=Math.sin(n),a=Math.cos(n);return 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t[0]=f*r+b*e+l*s,t[1]=f*u+b*i+l*M,t[2]=f*o+b*c+l*h,t[3]=m*r+v*e+E*s,t[4]=m*u+v*i+E*M,t[5]=m*o+v*c+E*h,t[6]=P*r+S*e+d*s,t[7]=P*u+S*i+d*M,t[8]=P*o+S*c+d*h,t}function o(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t}n.create=function(){var t=new r.ARRAY_TYPE(9);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},n.fromMat4=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[4],t[4]=a[5],t[5]=a[6],t[6]=a[8],t[7]=a[9],t[8]=a[10],t},n.clone=function(t){var a=new r.ARRAY_TYPE(9);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromValues=function(t,a,n,u,o,e,i,c,s){var M=new r.ARRAY_TYPE(9);return M[0]=t,M[1]=a,M[2]=n,M[3]=u,M[4]=o,M[5]=e,M[6]=i,M[7]=c,M[8]=s,M},n.set=function(t,a,n,r,u,o,e,i,c,s){return t[0]=a,t[1]=n,t[2]=r,t[3]=u,t[4]=o,t[5]=e,t[6]=i,t[7]=c,t[8]=s,t},n.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],u=a[5];t[1]=a[3],t[2]=a[6],t[3]=n,t[5]=a[7],t[6]=r,t[7]=u}else t[0]=a[0],t[1]=a[3],t[2]=a[6],t[3]=a[1],t[4]=a[4],t[5]=a[7],t[6]=a[2],t[7]=a[5],t[8]=a[8];return t},n.invert=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=M*e-i*s,f=-M*o+i*c,b=s*o-e*c,l=n*h+r*f+u*b;return l?(l=1/l,t[0]=h*l,t[1]=(-M*r+u*s)*l,t[2]=(i*r-u*e)*l,t[3]=f*l,t[4]=(M*n-u*c)*l,t[5]=(-i*n+u*o)*l,t[6]=b*l,t[7]=(-s*n+r*c)*l,t[8]=(e*n-r*o)*l,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8];return t[0]=e*M-i*s,t[1]=u*s-r*M,t[2]=r*i-u*e,t[3]=i*c-o*M,t[4]=n*M-u*c,t[5]=u*o-n*i,t[6]=o*s-e*c,t[7]=r*c-n*s,t[8]=n*e-r*o,t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],u=t[3],o=t[4],e=t[5],i=t[6],c=t[7],s=t[8];return a*(s*o-e*c)+n*(-s*u+e*i)+r*(c*u-o*i)},n.multiply=u,n.translate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1];return t[0]=r,t[1]=u,t[2]=o,t[3]=e,t[4]=i,t[5]=c,t[6]=f*r+b*e+s,t[7]=f*u+b*i+M,t[8]=f*o+b*c+h,t},n.rotate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=Math.sin(n),b=Math.cos(n);return t[0]=b*r+f*e,t[1]=b*u+f*i,t[2]=b*o+f*c,t[3]=b*e-f*r,t[4]=b*i-f*u,t[5]=b*c-f*o,t[6]=s,t[7]=M,t[8]=h,t},n.scale=function(t,a,n){var r=n[0],u=n[1];return t[0]=r*a[0],t[1]=r*a[1],t[2]=r*a[2],t[3]=u*a[3],t[4]=u*a[4],t[5]=u*a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=a[0],t[7]=a[1],t[8]=1,t},n.fromRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=-n,t[4]=r,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=a[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromMat2d=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=0,t[3]=a[2],t[4]=a[3],t[5]=0,t[6]=a[4],t[7]=a[5],t[8]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=n+n,i=r+r,c=u+u,s=n*e,M=r*e,h=r*i,f=u*e,b=u*i,l=u*c,m=o*e,v=o*i,E=o*c;return t[0]=1-h-l,t[3]=M-E,t[6]=f+v,t[1]=M+E,t[4]=1-s-l,t[7]=b-m,t[2]=f-v,t[5]=b+m,t[8]=1-s-h,t},n.normalFromMat4=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],E=a[15],P=n*i-r*e,S=n*c-u*e,d=n*s-o*e,A=r*c-u*i,x=r*s-o*i,O=u*s-o*c,p=M*m-h*l,I=M*v-f*l,L=M*E-b*l,N=h*v-f*m,R=h*E-b*m,_=f*E-b*v,y=P*_-S*R+d*N+A*L-x*I+O*p;return y?(y=1/y,t[0]=(i*_-c*R+s*N)*y,t[1]=(c*L-e*_-s*I)*y,t[2]=(e*R-i*L+s*p)*y,t[3]=(u*R-r*_-o*N)*y,t[4]=(n*_-u*L+o*I)*y,t[5]=(r*L-n*R-o*p)*y,t[6]=(m*O-v*x+E*A)*y,t[7]=(v*d-l*O-E*S)*y,t[8]=(l*x-m*d+E*P)*y,t):null},n.projection=function(t,a,n){return t[0]=2/a,t[1]=0,t[2]=0,t[3]=0,t[4]=-2/n,t[5]=0,t[6]=-1,t[7]=1,t[8]=1,t},n.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t},n.subtract=o,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]},n.equals=function(t,a){var n=t[0],u=t[1],o=t[2],e=t[3],i=t[4],c=t[5],s=t[6],M=t[7],h=t[8],f=a[0],b=a[1],l=a[2],m=a[3],v=a[4],E=a[5],P=a[6],S=a[7],d=a[8];return Math.abs(n-f)<=r.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(u-b)<=r.EPSILON*Math.max(1,Math.abs(u),Math.abs(b))&&Math.abs(o-l)<=r.EPSILON*Math.max(1,Math.abs(o),Math.abs(l))&&Math.abs(e-m)<=r.EPSILON*Math.max(1,Math.abs(e),Math.abs(m))&&Math.abs(i-v)<=r.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(c-E)<=r.EPSILON*Math.max(1,Math.abs(c),Math.abs(E))&&Math.abs(s-P)<=r.EPSILON*Math.max(1,Math.abs(s),Math.abs(P))&&Math.abs(M-S)<=r.EPSILON*Math.max(1,Math.abs(M),Math.abs(S))&&Math.abs(h-d)<=r.EPSILON*Math.max(1,Math.abs(h),Math.abs(d))},n.mul=u,n.sub=o},\n      \"a427635f32\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function h(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function o(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],v=a[12],m=a[13],P=a[14],E=a[15],S=n[0],I=n[1],O=n[2],p=n[3];return t[0]=S*r+I*M+O*c+p*v,t[1]=S*h+I*e+O*f+p*m,t[2]=S*o+I*s+O*b+p*P,t[3]=S*u+I*i+O*l+p*E,S=n[4],I=n[5],O=n[6],p=n[7],t[4]=S*r+I*M+O*c+p*v,t[5]=S*h+I*e+O*f+p*m,t[6]=S*o+I*s+O*b+p*P,t[7]=S*u+I*i+O*l+p*E,S=n[8],I=n[9],O=n[10],p=n[11],t[8]=S*r+I*M+O*c+p*v,t[9]=S*h+I*e+O*f+p*m,t[10]=S*o+I*s+O*b+p*P,t[11]=S*u+I*i+O*l+p*E,S=n[12],I=n[13],O=n[14],p=n[15],t[12]=S*r+I*M+O*c+p*v,t[13]=S*h+I*e+O*f+p*m,t[14]=S*o+I*s+O*b+p*P,t[15]=S*u+I*i+O*l+p*E,t}function u(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=r+r,e=h+h,s=o+o,i=r*M,c=r*e,f=r*s,b=h*e,l=h*s,v=o*s,m=u*M,P=u*e,E=u*s;return t[0]=1-(b+v),t[1]=c+E,t[2]=f-P,t[3]=0,t[4]=c-E,t[5]=1-(i+v),t[6]=l+m,t[7]=0,t[8]=f+P,t[9]=l-m,t[10]=1-(i+b),t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t}function M(t,a){var n=a[0],r=a[1],h=a[2],o=a[4],u=a[5],M=a[6],e=a[8],s=a[9],i=a[10];return t[0]=Math.hypot(n,r,h),t[1]=Math.hypot(o,u,M),t[2]=Math.hypot(e,s,i),t}function e(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t[9]=a[9]-n[9],t[10]=a[10]-n[10],t[11]=a[11]-n[11],t[12]=a[12]-n[12],t[13]=a[13]-n[13],t[14]=a[14]-n[14],t[15]=a[15]-n[15],t}n.create=function(){var t=new r.ARRAY_TYPE(16);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},n.clone=function(t){var a=new r.ARRAY_TYPE(16);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a[9]=t[9],a[10]=t[10],a[11]=t[11],a[12]=t[12],a[13]=t[13],a[14]=t[14],a[15]=t[15],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.fromValues=function(t,a,n,h,o,u,M,e,s,i,c,f,b,l,v,m){var P=new r.ARRAY_TYPE(16);return P[0]=t,P[1]=a,P[2]=n,P[3]=h,P[4]=o,P[5]=u,P[6]=M,P[7]=e,P[8]=s,P[9]=i,P[10]=c,P[11]=f,P[12]=b,P[13]=l,P[14]=v,P[15]=m,P},n.set=function(t,a,n,r,h,o,u,M,e,s,i,c,f,b,l,v,m){return t[0]=a,t[1]=n,t[2]=r,t[3]=h,t[4]=o,t[5]=u,t[6]=M,t[7]=e,t[8]=s,t[9]=i,t[10]=c,t[11]=f,t[12]=b,t[13]=l,t[14]=v,t[15]=m,t},n.identity=h,n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],h=a[3],o=a[6],u=a[7],M=a[11];t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=n,t[6]=a[9],t[7]=a[13],t[8]=r,t[9]=o,t[11]=a[14],t[12]=h,t[13]=u,t[14]=M}else t[0]=a[0],t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=a[1],t[5]=a[5],t[6]=a[9],t[7]=a[13],t[8]=a[2],t[9]=a[6],t[10]=a[10],t[11]=a[14],t[12]=a[3],t[13]=a[7],t[14]=a[11],t[15]=a[15];return t},n.invert=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15],E=n*M-r*u,S=n*e-h*u,I=n*s-o*u,O=r*e-h*M,p=r*s-o*M,L=h*s-o*e,N=i*v-c*l,R=i*m-f*l,x=i*P-b*l,y=c*m-f*v,A=c*P-b*v,Y=f*P-b*m,d=E*Y-S*A+I*y+O*x-p*R+L*N;return d?(d=1/d,t[0]=(M*Y-e*A+s*y)*d,t[1]=(h*A-r*Y-o*y)*d,t[2]=(v*L-m*p+P*O)*d,t[3]=(f*p-c*L-b*O)*d,t[4]=(e*x-u*Y-s*R)*d,t[5]=(n*Y-h*x+o*R)*d,t[6]=(m*I-l*L-P*S)*d,t[7]=(i*L-f*I+b*S)*d,t[8]=(u*A-M*x+s*N)*d,t[9]=(r*x-n*A-o*N)*d,t[10]=(l*p-v*I+P*E)*d,t[11]=(c*I-i*p-b*E)*d,t[12]=(M*R-u*y-e*N)*d,t[13]=(n*y-r*R+h*N)*d,t[14]=(v*S-l*O-m*E)*d,t[15]=(i*O-c*S+f*E)*d,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15];return t[0]=M*(f*P-b*m)-c*(e*P-s*m)+v*(e*b-s*f),t[1]=-(r*(f*P-b*m)-c*(h*P-o*m)+v*(h*b-o*f)),t[2]=r*(e*P-s*m)-M*(h*P-o*m)+v*(h*s-o*e),t[3]=-(r*(e*b-s*f)-M*(h*b-o*f)+c*(h*s-o*e)),t[4]=-(u*(f*P-b*m)-i*(e*P-s*m)+l*(e*b-s*f)),t[5]=n*(f*P-b*m)-i*(h*P-o*m)+l*(h*b-o*f),t[6]=-(n*(e*P-s*m)-u*(h*P-o*m)+l*(h*s-o*e)),t[7]=n*(e*b-s*f)-u*(h*b-o*f)+i*(h*s-o*e),t[8]=u*(c*P-b*v)-i*(M*P-s*v)+l*(M*b-s*c),t[9]=-(n*(c*P-b*v)-i*(r*P-o*v)+l*(r*b-o*c)),t[10]=n*(M*P-s*v)-u*(r*P-o*v)+l*(r*s-o*M),t[11]=-(n*(M*b-s*c)-u*(r*b-o*c)+i*(r*s-o*M)),t[12]=-(u*(c*m-f*v)-i*(M*m-e*v)+l*(M*f-e*c)),t[13]=n*(c*m-f*v)-i*(r*m-h*v)+l*(r*f-h*c),t[14]=-(n*(M*m-e*v)-u*(r*m-h*v)+l*(r*e-h*M)),t[15]=n*(M*f-e*c)-u*(r*f-h*c)+i*(r*e-h*M),t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],h=t[3],o=t[4],u=t[5],M=t[6],e=t[7],s=t[8],i=t[9],c=t[10],f=t[11],b=t[12],l=t[13],v=t[14],m=t[15];return(a*u-n*o)*(c*m-f*v)-(a*M-r*o)*(i*m-f*l)+(a*e-h*o)*(i*v-c*l)+(n*M-r*u)*(s*m-f*b)-(n*e-h*u)*(s*v-c*b)+(r*e-h*M)*(s*l-i*b)},n.multiply=o,n.translate=function(t,a,n){var r,h,o,u,M,e,s,i,c,f,b,l,v=n[0],m=n[1],P=n[2];return a===t?(t[12]=a[0]*v+a[4]*m+a[8]*P+a[12],t[13]=a[1]*v+a[5]*m+a[9]*P+a[13],t[14]=a[2]*v+a[6]*m+a[10]*P+a[14],t[15]=a[3]*v+a[7]*m+a[11]*P+a[15]):(r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],t[0]=r,t[1]=h,t[2]=o,t[3]=u,t[4]=M,t[5]=e,t[6]=s,t[7]=i,t[8]=c,t[9]=f,t[10]=b,t[11]=l,t[12]=r*v+M*m+c*P+a[12],t[13]=h*v+e*m+f*P+a[13],t[14]=o*v+s*m+b*P+a[14],t[15]=u*v+i*m+l*P+a[15]),t},n.scale=function(t,a,n){var r=n[0],h=n[1],o=n[2];return t[0]=a[0]*r,t[1]=a[1]*r,t[2]=a[2]*r,t[3]=a[3]*r,t[4]=a[4]*h,t[5]=a[5]*h,t[6]=a[6]*h,t[7]=a[7]*h,t[8]=a[8]*o,t[9]=a[9]*o,t[10]=a[10]*o,t[11]=a[11]*o,t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.rotate=function(t,a,n,h){var o,u,M,e,s,i,c,f,b,l,v,m,P,E,S,I,O,p,L,N,R,x,y,A,Y=h[0],d=h[1],g=h[2],T=Math.hypot(Y,d,g);return T<r.EPSILON?null:(Y*=T=1/T,d*=T,g*=T,o=Math.sin(n),M=1-(u=Math.cos(n)),e=a[0],s=a[1],i=a[2],c=a[3],f=a[4],b=a[5],l=a[6],v=a[7],m=a[8],P=a[9],E=a[10],S=a[11],I=Y*Y*M+u,O=d*Y*M+g*o,p=g*Y*M-d*o,L=Y*d*M-g*o,N=d*d*M+u,R=g*d*M+Y*o,x=Y*g*M+d*o,y=d*g*M-Y*o,A=g*g*M+u,t[0]=e*I+f*O+m*p,t[1]=s*I+b*O+P*p,t[2]=i*I+l*O+E*p,t[3]=c*I+v*O+S*p,t[4]=e*L+f*N+m*R,t[5]=s*L+b*N+P*R,t[6]=i*L+l*N+E*R,t[7]=c*L+v*N+S*R,t[8]=e*x+f*y+m*A,t[9]=s*x+b*y+P*A,t[10]=i*x+l*y+E*A,t[11]=c*x+v*y+S*A,a!==t&&(t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t)},n.rotateX=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[4],u=a[5],M=a[6],e=a[7],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[4]=o*h+s*r,t[5]=u*h+i*r,t[6]=M*h+c*r,t[7]=e*h+f*r,t[8]=s*h-o*r,t[9]=i*h-u*r,t[10]=c*h-M*r,t[11]=f*h-e*r,t},n.rotateY=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h-s*r,t[1]=u*h-i*r,t[2]=M*h-c*r,t[3]=e*h-f*r,t[8]=o*r+s*h,t[9]=u*r+i*h,t[10]=M*r+c*h,t[11]=e*r+f*h,t},n.rotateZ=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7];return a!==t&&(t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h+s*r,t[1]=u*h+i*r,t[2]=M*h+c*r,t[3]=e*h+f*r,t[4]=s*h-o*r,t[5]=i*h-u*r,t[6]=c*h-M*r,t[7]=f*h-e*r,t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=a[0],t[13]=a[1],t[14]=a[2],t[15]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=a[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotation=function(t,a,n){var h,o,u,M=n[0],e=n[1],s=n[2],i=Math.hypot(M,e,s);return i<r.EPSILON?null:(M*=i=1/i,e*=i,s*=i,h=Math.sin(a),u=1-(o=Math.cos(a)),t[0]=M*M*u+o,t[1]=e*M*u+s*h,t[2]=s*M*u-e*h,t[3]=0,t[4]=M*e*u-s*h,t[5]=e*e*u+o,t[6]=s*e*u+M*h,t[7]=0,t[8]=M*s*u+e*h,t[9]=e*s*u-M*h,t[10]=s*s*u+o,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},n.fromXRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=r,t[6]=n,t[7]=0,t[8]=0,t[9]=-n,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromYRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=0,t[2]=-n,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=n,t[9]=0,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromZRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=0,t[4]=-n,t[5]=r,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotationTranslation=u,n.fromQuat2=function(t,a){var n=new r.ARRAY_TYPE(3),h=-a[0],o=-a[1],M=-a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7],b=h*h+o*o+M*M+e*e;return b>0?(n[0]=2*(s*e+f*h+i*M-c*o)/b,n[1]=2*(i*e+f*o+c*h-s*M)/b,n[2]=2*(c*e+f*M+s*o-i*h)/b):(n[0]=2*(s*e+f*h+i*M-c*o),n[1]=2*(i*e+f*o+c*h-s*M),n[2]=2*(c*e+f*M+s*o-i*h)),u(t,a,n),t},n.getTranslation=function(t,a){return t[0]=a[12],t[1]=a[13],t[2]=a[14],t},n.getScaling=M,n.getRotation=function(t,a){var n=new r.ARRAY_TYPE(3);M(n,a);var h=1/n[0],o=1/n[1],u=1/n[2],e=a[0]*h,s=a[1]*o,i=a[2]*u,c=a[4]*h,f=a[5]*o,b=a[6]*u,l=a[8]*h,v=a[9]*o,m=a[10]*u,P=e+f+m,E=0;return P>0?(E=2*Math.sqrt(P+1),t[3]=.25*E,t[0]=(b-v)/E,t[1]=(l-i)/E,t[2]=(s-c)/E):e>f&&e>m?(E=2*Math.sqrt(1+e-f-m),t[3]=(b-v)/E,t[0]=.25*E,t[1]=(s+c)/E,t[2]=(l+i)/E):f>m?(E=2*Math.sqrt(1+f-e-m),t[3]=(l-i)/E,t[0]=(s+c)/E,t[1]=.25*E,t[2]=(b+v)/E):(E=2*Math.sqrt(1+m-e-f),t[3]=(s-c)/E,t[0]=(l+i)/E,t[1]=(b+v)/E,t[2]=.25*E),t},n.fromRotationTranslationScale=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=a[3],e=h+h,s=o+o,i=u+u,c=h*e,f=h*s,b=h*i,l=o*s,v=o*i,m=u*i,P=M*e,E=M*s,S=M*i,I=r[0],O=r[1],p=r[2];return t[0]=(1-(l+m))*I,t[1]=(f+S)*I,t[2]=(b-E)*I,t[3]=0,t[4]=(f-S)*O,t[5]=(1-(c+m))*O,t[6]=(v+P)*O,t[7]=0,t[8]=(b+E)*p,t[9]=(v-P)*p,t[10]=(1-(c+l))*p,t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t},n.fromRotationTranslationScaleOrigin=function(t,a,n,r,h){var o=a[0],u=a[1],M=a[2],e=a[3],s=o+o,i=u+u,c=M+M,f=o*s,b=o*i,l=o*c,v=u*i,m=u*c,P=M*c,E=e*s,S=e*i,I=e*c,O=r[0],p=r[1],L=r[2],N=h[0],R=h[1],x=h[2],y=(1-(v+P))*O,A=(b+I)*O,Y=(l-S)*O,d=(b-I)*p,g=(1-(f+P))*p,T=(m+E)*p,_=(l+S)*L,q=(m-E)*L,w=(1-(f+v))*L;return t[0]=y,t[1]=A,t[2]=Y,t[3]=0,t[4]=d,t[5]=g,t[6]=T,t[7]=0,t[8]=_,t[9]=q,t[10]=w,t[11]=0,t[12]=n[0]+N-(y*N+d*R+_*x),t[13]=n[1]+R-(A*N+g*R+q*x),t[14]=n[2]+x-(Y*N+T*R+w*x),t[15]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=n+n,M=r+r,e=h+h,s=n*u,i=r*u,c=r*M,f=h*u,b=h*M,l=h*e,v=o*u,m=o*M,P=o*e;return t[0]=1-c-l,t[1]=i+P,t[2]=f-m,t[3]=0,t[4]=i-P,t[5]=1-s-l,t[6]=b+v,t[7]=0,t[8]=f+m,t[9]=b-v,t[10]=1-s-c,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.frustum=function(t,a,n,r,h,o,u){var M=1/(n-a),e=1/(h-r),s=1/(o-u);return t[0]=2*o*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*o*e,t[6]=0,t[7]=0,t[8]=(n+a)*M,t[9]=(h+r)*e,t[10]=(u+o)*s,t[11]=-1,t[12]=0,t[13]=0,t[14]=u*o*2*s,t[15]=0,t},n.perspective=function(t,a,n,r,h){var o,u=1/Math.tan(a/2);return t[0]=u/n,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=h&&h!==1/0?(o=1/(r-h),t[10]=(h+r)*o,t[14]=2*h*r*o):(t[10]=-1,t[14]=-2*r),t},n.perspectiveFromFieldOfView=function(t,a,n,r){var h=Math.tan(a.upDegrees*Math.PI/180),o=Math.tan(a.downDegrees*Math.PI/180),u=Math.tan(a.leftDegrees*Math.PI/180),M=Math.tan(a.rightDegrees*Math.PI/180),e=2/(u+M),s=2/(h+o);return t[0]=e,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=s,t[6]=0,t[7]=0,t[8]=-(u-M)*e*.5,t[9]=(h-o)*s*.5,t[10]=r/(n-r),t[11]=-1,t[12]=0,t[13]=0,t[14]=r*n/(n-r),t[15]=0,t},n.ortho=function(t,a,n,r,h,o,u){var M=1/(a-n),e=1/(r-h),s=1/(o-u);return t[0]=-2*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*e,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*s,t[11]=0,t[12]=(a+n)*M,t[13]=(h+r)*e,t[14]=(u+o)*s,t[15]=1,t},n.lookAt=function(t,a,n,o){var u,M,e,s,i,c,f,b,l,v,m=a[0],P=a[1],E=a[2],S=o[0],I=o[1],O=o[2],p=n[0],L=n[1],N=n[2];return Math.abs(m-p)<r.EPSILON&&Math.abs(P-L)<r.EPSILON&&Math.abs(E-N)<r.EPSILON?h(t):(f=m-p,b=P-L,l=E-N,u=I*(l*=v=1/Math.hypot(f,b,l))-O*(b*=v),M=O*(f*=v)-S*l,e=S*b-I*f,(v=Math.hypot(u,M,e))?(u*=v=1/v,M*=v,e*=v):(u=0,M=0,e=0),s=b*e-l*M,i=l*u-f*e,c=f*M-b*u,(v=Math.hypot(s,i,c))?(s*=v=1/v,i*=v,c*=v):(s=0,i=0,c=0),t[0]=u,t[1]=s,t[2]=f,t[3]=0,t[4]=M,t[5]=i,t[6]=b,t[7]=0,t[8]=e,t[9]=c,t[10]=l,t[11]=0,t[12]=-(u*m+M*P+e*E),t[13]=-(s*m+i*P+c*E),t[14]=-(f*m+b*P+l*E),t[15]=1,t)},n.targetTo=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=r[0],e=r[1],s=r[2],i=h-n[0],c=o-n[1],f=u-n[2],b=i*i+c*c+f*f;b>0&&(i*=b=1/Math.sqrt(b),c*=b,f*=b);var l=e*f-s*c,v=s*i-M*f,m=M*c-e*i;return(b=l*l+v*v+m*m)>0&&(l*=b=1/Math.sqrt(b),v*=b,m*=b),t[0]=l,t[1]=v,t[2]=m,t[3]=0,t[4]=c*m-f*v,t[5]=f*l-i*m,t[6]=i*v-c*l,t[7]=0,t[8]=i,t[9]=c,t[10]=f,t[11]=0,t[12]=h,t[13]=o,t[14]=u,t[15]=1,t},n.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", 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+       "        var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
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+       "        var comm = {\n",
+       "          send: sendClosure\n",
+       "        };\n",
+       "      }\n",
+       "      window.PyViz.comms[comm_id] = comm;\n",
+       "      return comm;\n",
+       "    }\n",
+       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
+       "    \n",
+       "\n",
+       "\n",
+       "var JS_MIME_TYPE = 'application/javascript';\n",
+       "var HTML_MIME_TYPE = 'text/html';\n",
+       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
+       "var CLASS_NAME = 'output';\n",
+       "\n",
+       "/**\n",
+       " * Render data to the DOM node\n",
+       " */\n",
+       "function render(props, node) {\n",
+       "  var div = document.createElement(\"div\");\n",
+       "  var script = document.createElement(\"script\");\n",
+       "  node.appendChild(div);\n",
+       "  node.appendChild(script);\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle when a new output is added\n",
+       " */\n",
+       "function handle_add_output(event, handle) {\n",
+       "  var output_area = handle.output_area;\n",
+       "  var output = handle.output;\n",
+       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+       "    return\n",
+       "  }\n",
+       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
+       "  if (id !== undefined) {\n",
+       "    var nchildren = toinsert.length;\n",
+       "    var html_node = toinsert[nchildren-1].children[0];\n",
+       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "    var scripts = [];\n",
+       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
+       "    for (var i in nodelist) {\n",
+       "      if (nodelist.hasOwnProperty(i)) {\n",
+       "        scripts.push(nodelist[i])\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    scripts.forEach( function (oldScript) {\n",
+       "      var newScript = document.createElement(\"script\");\n",
+       "      var attrs = [];\n",
+       "      var nodemap = oldScript.attributes;\n",
+       "      for (var j in nodemap) {\n",
+       "        if (nodemap.hasOwnProperty(j)) {\n",
+       "          attrs.push(nodemap[j])\n",
+       "        }\n",
+       "      }\n",
+       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
+       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
+       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
+       "    });\n",
+       "    if (JS_MIME_TYPE in output.data) {\n",
+       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
+       "    }\n",
+       "    output_area._hv_plot_id = id;\n",
+       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
+       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
+       "    } else {\n",
+       "      window.PyViz.plot_index[id] = null;\n",
+       "    }\n",
+       "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
+       "    var bk_div = document.createElement(\"div\");\n",
+       "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "    var script_attrs = bk_div.children[0].attributes;\n",
+       "    for (var i = 0; i < script_attrs.length; i++) {\n",
+       "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
+       "    }\n",
+       "    // store reference to server id on output_area\n",
+       "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle when an output is cleared or removed\n",
+       " */\n",
+       "function handle_clear_output(event, handle) {\n",
+       "  var id = handle.cell.output_area._hv_plot_id;\n",
+       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
+       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
+       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
+       "  if (server_id !== null) {\n",
+       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
+       "    return;\n",
+       "  } else if (comm !== null) {\n",
+       "    comm.send({event_type: 'delete', 'id': id});\n",
+       "  }\n",
+       "  delete PyViz.plot_index[id];\n",
+       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
+       "    var doc = window.Bokeh.index[id].model.document\n",
+       "    doc.clear();\n",
+       "    const i = window.Bokeh.documents.indexOf(doc);\n",
+       "    if (i > -1) {\n",
+       "      window.Bokeh.documents.splice(i, 1);\n",
+       "    }\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle kernel restart event\n",
+       " */\n",
+       "function handle_kernel_cleanup(event, handle) {\n",
+       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
+       "  window.PyViz.plot_index = {}\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle update_display_data messages\n",
+       " */\n",
+       "function handle_update_output(event, handle) {\n",
+       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
+       "  handle_add_output(event, handle)\n",
+       "}\n",
+       "\n",
+       "function register_renderer(events, OutputArea) {\n",
+       "  function append_mime(data, metadata, element) {\n",
+       "    // create a DOM node to render to\n",
+       "    var toinsert = this.create_output_subarea(\n",
+       "    metadata,\n",
+       "    CLASS_NAME,\n",
+       "    EXEC_MIME_TYPE\n",
+       "    );\n",
+       "    this.keyboard_manager.register_events(toinsert);\n",
+       "    // Render to node\n",
+       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
+       "    render(props, toinsert[0]);\n",
+       "    element.append(toinsert);\n",
+       "    return toinsert\n",
+       "  }\n",
+       "\n",
+       "  events.on('output_added.OutputArea', handle_add_output);\n",
+       "  events.on('output_updated.OutputArea', handle_update_output);\n",
+       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
+       "  events.on('delete.Cell', handle_clear_output);\n",
+       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
+       "\n",
+       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
+       "    safe: true,\n",
+       "    index: 0\n",
+       "  });\n",
+       "}\n",
+       "\n",
+       "if (window.Jupyter !== undefined) {\n",
+       "  try {\n",
+       "    var events = require('base/js/events');\n",
+       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
+       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
+       "      register_renderer(events, OutputArea);\n",
+       "    }\n",
+       "  } catch(err) {\n",
+       "  }\n",
+       "}\n"
+      ],
+      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "\n",
+       "(function(root) {\n",
+       "  function now() {\n",
+       "    return new Date();\n",
+       "  }\n",
+       "\n",
+       "  var force = true;\n",
+       "\n",
+       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
+       "    root._bokeh_onload_callbacks = [];\n",
+       "    root._bokeh_is_loading = undefined;\n",
+       "  }\n",
+       "\n",
+       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
+       "    root._bokeh_timeout = Date.now() + 5000;\n",
+       "    root._bokeh_failed_load = false;\n",
+       "  }\n",
+       "\n",
+       "  function run_callbacks() {\n",
+       "    try {\n",
+       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
+       "        if (callback != null)\n",
+       "          callback();\n",
+       "      });\n",
+       "    } finally {\n",
+       "      delete root._bokeh_onload_callbacks\n",
+       "    }\n",
+       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
+       "  }\n",
+       "\n",
+       "  function load_libs(css_urls, js_urls, callback) {\n",
+       "    if (css_urls == null) css_urls = [];\n",
+       "    if (js_urls == null) js_urls = [];\n",
+       "\n",
+       "    root._bokeh_onload_callbacks.push(callback);\n",
+       "    if (root._bokeh_is_loading > 0) {\n",
+       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
+       "      return null;\n",
+       "    }\n",
+       "    if (js_urls == null || js_urls.length === 0) {\n",
+       "      run_callbacks();\n",
+       "      return null;\n",
+       "    }\n",
+       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
+       "\n",
+       "    function on_load() {\n",
+       "      root._bokeh_is_loading--;\n",
+       "      if (root._bokeh_is_loading === 0) {\n",
+       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
+       "        run_callbacks()\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    function on_error() {\n",
+       "      console.error(\"failed to load \" + url);\n",
+       "    }\n",
+       "\n",
+       "    for (var i = 0; i < css_urls.length; i++) {\n",
+       "      var url = css_urls[i];\n",
+       "      const element = document.createElement(\"link\");\n",
+       "      element.onload = on_load;\n",
+       "      element.onerror = on_error;\n",
+       "      element.rel = \"stylesheet\";\n",
+       "      element.type = \"text/css\";\n",
+       "      element.href = url;\n",
+       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
+       "      document.body.appendChild(element);\n",
+       "    }\n",
+       "\n",
+       "    if (window.requirejs) {\n",
+       "      window.requirejs.config({'paths': {'plotly': 'https://cdn.plot.ly/plotly-latest.min'}});\n",
+       "      require([], function() {\n",
+       "        run_callbacks();\n",
+       "      })\n",
+       "    } else {\n",
+       "      var skip = [];\n",
+       "      if ((window['Plotly'] !== undefined) && (!(window['Plotly'] instanceof HTMLElement))) {\n",
+       "        var urls = ['https://cdn.plot.ly/plotly-latest.min.js'];\n",
+       "        for (var i = 0; i < urls.length; i++) {\n",
+       "          skip.push(urls[i])\n",
+       "        }\n",
+       "      }\n",
+       "      for (var i = 0; i < js_urls.length; i++) {\n",
+       "        var url = js_urls[i];\n",
+       "        if (skip.indexOf(url) >= 0) { on_load(); continue; }\n",
+       "        var element = document.createElement('script');\n",
+       "        element.onload = on_load;\n",
+       "        element.onerror = on_error;\n",
+       "        element.async = false;\n",
+       "        element.src = url;\n",
+       "        console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "        document.head.appendChild(element);\n",
+       "      }\n",
+       "    }\n",
+       "  };\n",
+       "\n",
+       "  function inject_raw_css(css) {\n",
+       "    const element = document.createElement(\"style\");\n",
+       "    element.appendChild(document.createTextNode(css));\n",
+       "    document.body.appendChild(element);\n",
+       "  }\n",
+       "\n",
+       "  var js_urls = [\"https://code.jquery.com/jquery-3.4.1.min.js\", \"https://cdn.plot.ly/plotly-latest.min.js\"];\n",
+       "  var css_urls = [];\n",
+       "\n",
+       "  var inline_js = [\n",
+       "    function(Bokeh) {\n",
+       "      inject_raw_css(\"table.panel-df {\\n    margin-left: auto;\\n    margin-right: auto;\\n    border: none;\\n    border-collapse: collapse;\\n    border-spacing: 0;\\n    color: black;\\n    font-size: 12px;\\n    table-layout: fixed;\\n    width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n    text-align: right;\\n    vertical-align: middle;\\n    padding: 0.5em 0.5em !important;\\n    line-height: normal;\\n    white-space: normal;\\n    max-width: none;\\n    border: none;\\n}\\n\\n.panel-df tbody {\\n    display: table-row-group;\\n    vertical-align: middle;\\n    border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n    background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n    border-bottom: 1px solid black;\\n    vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n    background: lightblue !important;\\n    cursor: pointer;\\n}\\n\");\n",
+       "    },\n",
+       "    function(Bokeh) {\n",
+       "      inject_raw_css(\".json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n  color: black;\\n  text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n  color: green;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n  color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n  color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n  color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n  color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n  background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: blue;\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n  color: #00008B;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n  color: white;\\n  text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n  color: #31F031;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n  color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n  color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n  color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n  color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n  color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n  background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: #027BFF;\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n  color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n  color: #23A0DB;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n\");\n",
+       "    },\n",
+       "    function(Bokeh) {\n",
+       "      inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite  { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n",
+       "    },\n",
+       "    function(Bokeh) {\n",
+       "      inject_raw_css(\".panel-widget-box {\\n\\tmin-height: 20px;\\n\\tbackground-color: #f5f5f5;\\n\\tborder: 1px solid #e3e3e3 !important;\\n\\tborder-radius: 4px;\\n\\t-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\tbox-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\toverflow-x: hidden;\\n\\toverflow-y: hidden;\\n}\\n\\n.scrollable {\\n  overflow: scroll;\\n}\\n\\nprogress {\\n\\tappearance: none;\\n\\t-moz-appearance: none;\\n\\t-webkit-appearance: none;\\n\\n\\tborder: none;\\n\\theight: 20px;\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n\\tcolor: royalblue;\\n\\tposition: relative;\\n\\tmargin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n\\tposition: relative;\\n\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n\\tborder-radius:3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n\\tcontent:\\\" \\\";\\n\\tposition:absolute;\\n\\theight: 20px;\\n\\ttop:0;\\n\\tleft:0;\\n\\tright:0;\\n\\tbottom:0;\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n  from {background-position: 0%}\\n  to {background-position: 100%}\\n}\\n\");\n",
+       "    },\n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN bokeh.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        const bokeh = factory();\n",
+       "        if (root.Bokeh === undefined) {\n",
+       "          root.Bokeh = bokeh;\n",
+       "        }\n",
+       "        const Bokeh = root.Bokeh;\n",
+       "        Bokeh[bokeh.version] = bokeh;\n",
+       "      })(this, function() {\n",
+       "        var define;\n",
+       "        var parent_require = typeof require === \"function\" && require\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          if (aliases === undefined) aliases = {};\n",
+       "          if (externals === undefined) externals = {};\n",
+       "\n",
+       "          var cache = {};\n",
+       "\n",
+       "          var normalize = function(name) {\n",
+       "            if (typeof name === \"number\")\n",
+       "              return name;\n",
+       "\n",
+       "            if (name === \"bokehjs\")\n",
+       "              return entry;\n",
+       "\n",
+       "            var prefix = \"@bokehjs/\"\n",
+       "            if (name.slice(0, prefix.length) === prefix)\n",
+       "              name = name.slice(prefix.length)\n",
+       "\n",
+       "            var alias = aliases[name]\n",
+       "            if (alias != null)\n",
+       "              return alias;\n",
+       "\n",
+       "            var trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n",
+       "            var index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n",
+       "            if (index != null)\n",
+       "              return index;\n",
+       "\n",
+       "            return name;\n",
+       "          }\n",
+       "\n",
+       "          var require = function(name) {\n",
+       "            var mod = cache[name];\n",
+       "            if (!mod) {\n",
+       "              var id = normalize(name);\n",
+       "\n",
+       "              mod = cache[id];\n",
+       "              if (!mod) {\n",
+       "                if (!modules[id]) {\n",
+       "                  if (externals[id] === false || (externals[id] == true && parent_require)) {\n",
+       "                    try {\n",
+       "                      mod = {exports: externals[id] ? parent_require(id) : {}};\n",
+       "                      cache[id] = cache[name] = mod;\n",
+       "                      return mod.exports;\n",
+       "                    } catch (e) {}\n",
+       "                  }\n",
+       "\n",
+       "                  var err = new Error(\"Cannot find module '\" + name + \"'\");\n",
+       "                  err.code = 'MODULE_NOT_FOUND';\n",
+       "                  throw err;\n",
+       "                }\n",
+       "\n",
+       "                mod = {exports: {}};\n",
+       "                cache[id] = cache[name] = mod;\n",
+       "                modules[id].call(mod.exports, require, mod, mod.exports);\n",
+       "              } else\n",
+       "                cache[name] = mod;\n",
+       "            }\n",
+       "\n",
+       "            return mod.exports;\n",
+       "          }\n",
+       "\n",
+       "          var main = require(entry);\n",
+       "          main.require = require;\n",
+       "\n",
+       "          if (typeof Proxy !== \"undefined\") {\n",
+       "            // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n",
+       "            main.loader = new Proxy({}, {\n",
+       "              get: function(_obj, module) {\n",
+       "                return require(module);\n",
+       "              }\n",
+       "            });\n",
+       "          }\n",
+       "\n",
+       "          main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n",
+       "            if (plugin_aliases === undefined) plugin_aliases = {};\n",
+       "            if (plugin_externals === undefined) plugin_externals = {};\n",
+       "\n",
+       "            for (var name in plugin_modules) {\n",
+       "              modules[name] = plugin_modules[name];\n",
+       "            }\n",
+       "\n",
+       "            for (var name in plugin_aliases) {\n",
+       "              aliases[name] = plugin_aliases[name];\n",
+       "            }\n",
+       "\n",
+       "            for (var name in plugin_externals) {\n",
+       "              externals[name] = plugin_externals[name];\n",
+       "            }\n",
+       "\n",
+       "            var plugin = require(plugin_entry);\n",
+       "\n",
+       "            for (var name in plugin) {\n",
+       "              main[name] = plugin[name];\n",
+       "            }\n",
+       "\n",
+       "            return plugin;\n",
+       "          }\n",
+       "\n",
+       "          return main;\n",
+       "        })\n",
+       "      ([\n",
+       "      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0}),e(1).__exportStar(e(2),_)},\n",
+       "      function _(t,e,n){\n",
+       "      /*! *****************************************************************************\n",
+       "          Copyright (c) Microsoft Corporation. All rights reserved.\n",
+       "          Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n",
+       "          this file except in compliance with the License. You may obtain a copy of the\n",
+       "          License at http://www.apache.org/licenses/LICENSE-2.0\n",
+       "          \n",
+       "          THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n",
+       "          KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n",
+       "          WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n",
+       "          MERCHANTABLITY OR NON-INFRINGEMENT.\n",
+       "          \n",
+       "          See the Apache Version 2.0 License for specific language governing permissions\n",
+       "          and limitations under the License.\n",
+       "          ***************************************************************************** */\n",
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+       "      function _(e,r,t){var l=this&&this.__importStar||function(e){if(e&&e.__esModule)return e;var r={};if(null!=e)for(var t in e)Object.hasOwnProperty.call(e,t)&&(r[t]=e[t]);return r.default=e,r};Object.defineProperty(t,\"__esModule\",{value:!0});var o=e(3);t.version=o.version;var s=e(4);t.index=s.index,t.embed=l(e(4)),t.protocol=l(e(367)),t._testing=l(e(368));var n=e(72);t.logger=n.logger,t.set_log_level=n.set_log_level;var a=e(22);t.settings=a.settings;var i=e(7);t.Models=i.Models;var v=e(5);t.documents=v.documents;var _=e(369);t.safely=_.safely},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0}),o.version=\"2.1.1\"},\n",
+       "      function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(5),s=e(72),d=e(24),r=e(8),_=e(15),c=e(358),i=e(360),a=e(359);var u=e(358);n.add_document_standalone=u.add_document_standalone,n.index=u.index;var l=e(360);n.add_document_from_session=l.add_document_from_session;var m=e(365);n.embed_items_notebook=m.embed_items_notebook,n.kernels=m.kernels;var f=e(359);async function g(e,o,n,_){r.isString(e)&&(e=JSON.parse(d.unescape(e)));const u={};for(const o in e){const n=e[o];u[o]=t.Document.from_json(n)}const l=[];for(const e of o){const o=a._resolve_element(e),t=a._resolve_root_elements(e);if(null!=e.docid)l.push(await c.add_document_standalone(u[e.docid],o,t,e.use_for_title));else{if(null==e.token)throw new Error(\"Error rendering Bokeh items: either 'docid' or 'token' was expected.\");{const d=i._get_ws_url(n,_);s.logger.debug(\"embed: computed ws url: \"+d);try{l.push(await i.add_document_from_session(d,e.token,o,t,e.use_for_title)),console.log(\"Bokeh items were rendered successfully\")}catch(e){console.log(\"Error rendering Bokeh items:\",e)}}}}return l}n.BOKEH_ROOT=f.BOKEH_ROOT,n.embed_item=async function(e,o){const n={},t=d.uuid4();n[t]=e.doc,null==o&&(o=e.target_id);const s=document.getElementById(o);null!=s&&s.classList.add(a.BOKEH_ROOT);const r={roots:{[e.root_id]:o},root_ids:[e.root_id],docid:t},[c]=await _.defer(()=>g(n,[r]));return c},n.embed_items=async function(e,o,n,t){return await _.defer(()=>g(e,o,n,t))}},\n",
+       "      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);o.__exportStar(e(6),_),o.__exportStar(e(105),_)},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),n=e(7),r=e(3),i=e(72),_=e(291),a=e(13),l=e(14),c=e(16),h=e(27),d=e(9),f=o.__importStar(e(104)),u=e(25),m=e(8),g=e(245),p=e(76),w=e(71),v=e(105);class b{constructor(e){this.document=e,this.session=null,this.subscribed_models=new Set}send_event(e){const t=new v.MessageSentEvent(this.document,\"bokeh_event\",e.to_json());this.document._trigger_on_change(t)}trigger(e){for(const t of this.subscribed_models)null!=e.origin&&e.origin!=t||t._process_event(e)}}s.EventManager=b,b.__name__=\"EventManager\",s.documents=[],s.DEFAULT_TITLE=\"Bokeh Application\";class y{constructor(){s.documents.push(this),this._init_timestamp=Date.now(),this._title=s.DEFAULT_TITLE,this._roots=[],this._all_models=new Map,this._all_models_freeze_count=0,this._callbacks=new Map,this._message_callbacks=new Map,this.event_manager=new b(this),this.idle=new l.Signal0(this,\"idle\"),this._idle_roots=new WeakMap,this._interactive_timestamp=null,this._interactive_plot=null}get layoutables(){return this._roots.filter(e=>e instanceof g.LayoutDOM)}get is_idle(){for(const e of this.layoutables)if(!this._idle_roots.has(e))return!1;return!0}notify_idle(e){this._idle_roots.set(e,!0),this.is_idle&&(i.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),this.idle.emit())}clear(){this._push_all_models_freeze();try{for(;this._roots.length>0;)this.remove_root(this._roots[0])}finally{this._pop_all_models_freeze()}}interactive_start(e){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new _.LODStart)),this._interactive_timestamp=Date.now()}interactive_stop(e){null!=this._interactive_plot&&this._interactive_plot.id===e.id&&this._interactive_plot.trigger_event(new _.LODEnd),this._interactive_plot=null,this._interactive_timestamp=null}interactive_duration(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=d.copy(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(\"Somehow we didn't detach \"+e);if(0!=this._all_models.size)throw new Error(\"this._all_models still had stuff in it: \"+this._all_models);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){i.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=f.union(e,t.references());const t=new Set(this._all_models.values()),s=f.difference(t,e),o=f.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(i.logger.debug(\"Adding root: \"+e),!d.includes(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new v.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof w.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof v.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new v.ModelChangedEvent(this,e,t,s,o,null==n?void 0:n.setter_id,null==n?void 0:n.hint))}static _references_json(e,t=!0){const s=[];for(const o of e){const e=o.struct();e.attributes=o.attributes_as_json(t),delete e.attributes.id,s.push(e)}return s}static _instantiate_object(e,t,s){const o=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(n.Models(t))(o)}static _instantiate_references_json(e,t){const s=new Map;for(const o of e){const e=o.id,n=o.type,r=o.attributes||{};let i=t.get(e);null==i&&(i=y._instantiate_object(e,n,r),null!=o.subtype&&i.set_subtype(o.subtype)),s.set(i.id,i)}return s}static _resolve_refs(e,t,s,o){function n(e){if(c.is_ref(e)){if(t.has(e.id))return t.get(e.id);if(s.has(e.id))return s.get(e.id);throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}return h.is_NDArray_ref(e)?h.decode_NDArray(e,o):m.isArray(e)?function(e){const t=[];for(const s of e)t.push(n(s));return t}(e):m.isPlainObject(e)?function(e){const t={};for(const s in e){const o=e[s];t[s]=n(o)}return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:r,attributes:i}of e){const e=!t.has(r),_=e?s.get(r):t.get(r),a=y._resolve_refs(i,t,s,o);_.setv(a,{silent:!0}),n.set(r,{instance:_,is_new:e})}const r=[],i=new Set;function _(e){if(e instanceof a.HasProps){if(n.has(e.id)&&!i.has(e.id)){i.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e in o)_(o[e]);s&&(t.finalize(),r.push(t))}}else if(m.isArray(e))for(const t of e)_(t);else if(m.isPlainObject(e))for(const t in e)_(e[t])}for(const e of n.values())_(e.instance);for(const e of r)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const r={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return a.HasProps._json_record_references(o,s,n,{recursive:!0}),r}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),r=Object.keys(t.attributes),_=d.difference(n,r),a=d.difference(r,n),l=d.intersection(n,r),c=[];for(const e of _)i.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of a){const r=t.attributes[n];c.push(y._event_for_attribute_change(e,n,r,s,o))}for(const n of l){const r=e.attributes[n],i=t.attributes[n];null==r&&null==i||(null==r||null==i?c.push(y._event_for_attribute_change(e,n,i,s,o)):u.isEqual(r,i)||c.push(y._event_for_attribute_change(e,n,i,s,o)))}return c.filter(e=>null!=e)}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),r=new Map,i=[];for(const t of e.roots.root_ids)r.set(t,n.get(t)),i.push(t);const _=o(s),a=new Map,l=[];for(const e of s.roots.root_ids)a.set(e,_.get(e)),l.push(e);if(i.sort(),l.sort(),d.difference(i,l).length>0||d.difference(l,i).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=y._events_to_sync_objects(n.get(e),_.get(e),t,c);h=h.concat(s)}return{references:y._references_json(c,!1),events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=this._roots.map(e=>e.id),s=this._all_models.values();return{version:r.version,title:this._title,roots:{root_ids:t,references:y._references_json(s,e)}}}static from_json_string(e){const t=JSON.parse(e);return y.from_json(t)}static from_json(e){i.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${r.version}) / Python (${t})`;s||r.version.replace(/-(dev|rc)\\./,\"$1\")==t?i.logger.debug(o):(i.logger.warn(\"JS/Python version mismatch\"),i.logger.warn(o));const n=e.roots,_=n.root_ids,a=n.references,l=y._instantiate_references_json(a,new Map);y._initialize_references_json(a,new Map,l,new Map);const c=new y;for(const e of _){const t=l.get(e);null!=t&&c.add_root(t)}return c.set_title(e.title),c}replace_with_json(e){y.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){const t=new Set,s=[];for(const o of e){if(o.document!==this)throw i.logger.warn(\"Cannot create a patch using events from a different document, event had \",o.document,\" we are \",this),new Error(\"Cannot create a patch using events from a different document\");s.push(o.json(t))}return{events:s,references:y._references_json(t)}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,r=y._instantiate_references_json(o,this._all_models);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)r.set(t,s);else if(!r.has(t))throw i.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const _=new Map,a=new Map;for(const[e,t]of r)this._all_models.has(e)?_.set(e,t):a.set(e,t);y._initialize_references_json(o,_,a,t);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=y._resolve_refs(o,_,a,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const r=e.attr,i=y._resolve_refs(e.new,_,a,t);n.setv({[r]:i},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const r=y._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in r||(r[e]=n.data[e]);n.setv({data:r},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot stream to ${t} which is not in the document`);if(!(o instanceof p.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,r=e.rollover;o.stream(n,r,s);break}case\"ColumnsPatched\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot patch ${t} which is not in the document`);if(!(o instanceof p.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=e.model.id,o=r.get(t);this.add_root(o,s);break}case\"RootRemoved\":{const t=e.model.id,o=r.get(t);this.remove_root(o,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(\"Unknown patch event \"+JSON.stringify(e))}}}s.Document=y,y.__name__=\"Document\"},\n",
+       "      function _(e,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),t=e(8),d=e(13);s.overrides={};const i=new Map;s.Models=e=>{const r=s.overrides[e]||i.get(e);if(null==r)throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`);return r},s.Models.register=(e,r)=>{s.overrides[e]=r},s.Models.unregister=e=>{delete s.overrides[e]},s.Models.register_models=(e,r=!1,s)=>{var o;if(null!=e)for(const l in e){const n=e[l];if(o=n,t.isObject(o)&&o.prototype instanceof d.HasProps){const e=n.__qualified__;r||!i.has(e)?i.set(e,n):null!=s?s(e):console.warn(`Model '${e}' was already registered`)}}},s.register_models=s.Models.register_models,s.Models.registered_names=()=>Array.from(i.keys());const l=o.__importStar(e(29));s.register_models(l)},\n",
+       "      function _(n,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});\n",
+       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
+       "      //     Underscore may be freely distributed under the MIT license.\n",
+       "      const e=n(9),i=Object.prototype.toString;function o(n){return\"[object Number]\"===i.call(n)}function c(n){const t=typeof n;return\"function\"===t||\"object\"===t&&!!n}r.isBoolean=function(n){return!0===n||!1===n||\"[object Boolean]\"===i.call(n)},r.isNumber=o,r.isInteger=function(n){return o(n)&&Number.isInteger(n)},r.isString=function(n){return\"[object String]\"===i.call(n)},r.isFunction=function(n){return\"[object Function]\"===i.call(n)},r.isArray=function(n){return Array.isArray(n)},r.isArrayOf=function(n,t){return e.every(n,t)},r.isArrayableOf=function(n,t){for(let r=0,e=n.length;r<e;r++)if(!t(n[r]))return!1;return!0},r.isTypedArray=function(n){return ArrayBuffer.isView(n)&&!(n instanceof DataView)},r.isObject=c,r.isPlainObject=function(n){return c(n)&&(null==n.constructor||n.constructor===Object)}},\n",
+       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});\n",
+       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
+       "      //     Underscore may be freely distributed under the MIT license.\n",
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+       "      function _(n,t,r){function e(n){if(0==n)return 0;for(;n<=0;)n+=2*Math.PI;for(;n>2*Math.PI;)n-=2*Math.PI;return n}function o(n,t){return e(n-t)}function a(){return Math.random()}Object.defineProperty(r,\"__esModule\",{value:!0}),r.angle_norm=e,r.angle_dist=o,r.angle_between=function(n,t,r,a){const u=o(t,r);if(0==u)return!1;if(u==2*Math.PI)return!0;const f=e(n),i=o(t,f)<=u&&o(f,r)<=u;return 0==a?i:!i},r.random=a,r.randomIn=function(n,t){return null==t&&(t=n,n=0),n+Math.floor(Math.random()*(t-n+1))},r.atan2=function(n,t){return Math.atan2(t[1]-n[1],t[0]-n[0])},r.rnorm=function(n,t){let r,e;for(;r=a(),e=a(),e=(2*e-1)*Math.sqrt(1/Math.E*2),!(-4*r*r*Math.log(r)>=e*e););let o=e/r;return o=n+t*o,o},r.clamp=function(n,t,r){return n>r?r:n<t?t:n}},\n",
+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});class o extends Error{}n.AssertionError=o,o.__name__=\"AssertionError\",n.assert=function(e,r){if(!(!0===e||!1!==e&&e()))throw new o(null!=r?r:\"Assertion failed\")},n.unreachable=function(){throw new Error(\"unreachable code\")}},\n",
+       "      function _(n,t,e){function r(n,t,e,...r){const o=n.length;t<0&&(t+=o),t<0?t=0:t>o&&(t=o),null==e||e>o-t?e=o-t:e<0&&(e=0);const u=o-e+r.length,i=new n.constructor(u);let f=0;for(;f<t;f++)i[f]=n[f];for(const n of r)i[f++]=n;for(let r=t+e;r<o;r++)i[f++]=n[r];return i}function o(n,t){return r(n,t,n.length-t)}function u(n,t,e){const r=n.length;if(void 0===e&&0==r)throw new Error(\"can't reduce an empty array without an initial value\");let o,u;for(void 0===e?(o=n[0],u=1):(o=e,u=0);u<r;u++)o=t(o,n[u],u,n);return o}function i(n){return function(t,e){const r=t.length;let o=n>0?0:r-1;for(;o>=0&&o<r;o+=n)if(e(t[o]))return o;return-1}}Object.defineProperty(e,\"__esModule\",{value:!0}),e.is_empty=function(n){return 0==n.length},e.splice=r,e.head=o,e.insert=function(n,t,e){return r(n,e,0,t)},e.append=function(n,t){return r(n,n.length,0,t)},e.prepend=function(n,t){return r(n,0,0,t)},e.indexOf=function(n,t){for(let e=0,r=n.length;e<r;e++)if(n[e]===t)return e;return-1},e.map=function(n,t){const e=n.length,r=new n.constructor(e);for(let o=0;o<e;o++)r[o]=t(n[o],o,n);return r},e.filter=function(n,t){const e=n.length,r=new n.constructor(e);let u=0;for(let o=0;o<e;o++){const e=n[o];t(e,o,n)&&(r[u++]=e)}return o(r,u)},e.reduce=u,e.min=function(n){let t,e=1/0;for(let r=0,o=n.length;r<o;r++)t=n[r],t<e&&(e=t);return e},e.min_by=function(n,t){if(0==n.length)throw new Error(\"min_by() called with an empty array\");let e=n[0],r=t(e);for(let o=1,u=n.length;o<u;o++){const u=n[o],i=t(u);i<r&&(e=u,r=i)}return e},e.max=function(n){let t,e=-1/0;for(let r=0,o=n.length;r<o;r++)t=n[r],t>e&&(e=t);return e},e.max_by=function(n,t){if(0==n.length)throw new Error(\"max_by() called with an empty array\");let e=n[0],r=t(e);for(let o=1,u=n.length;o<u;o++){const u=n[o],i=t(u);i>r&&(e=u,r=i)}return e},e.sum=function(n){let t=0;for(let e=0,r=n.length;e<r;e++)t+=n[e];return t},e.cumsum=function(n){const t=new n.constructor(n.length);return u(n,(n,e,r)=>t[r]=n+e,0),t},e.every=function(n,t){for(let e=0,r=n.length;e<r;e++)if(!t(n[e]))return!1;return!0},e.some=function(n,t){for(let e=0,r=n.length;e<r;e++)if(t(n[e]))return!0;return!1},e.index_of=function(n,t){for(let e=0,r=n.length;e<r;e++)if(n[e]===t)return e;return-1},e.find_index=i(1),e.find_last_index=i(-1),e.find=function(n,t){const r=e.find_index(n,t);return-1==r?void 0:n[r]},e.find_last=function(n,t){const r=e.find_last_index(n,t);return-1==r?void 0:n[r]},e.sorted_index=function(n,t){let e=0,r=n.length;for(;e<r;){const o=Math.floor((e+r)/2);n[o]<t?e=o+1:r=o}return e}},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),n=e(14),i=e(16),o=r.__importStar(e(18)),c=r.__importStar(e(23)),a=e(24),_=e(9),u=e(17),h=e(8),f=e(25),l=e(5),p=e(26),d=e(27);class y extends(n.Signalable()){constructor(e={}){var t;super(),this._subtype=void 0,this.document=null,this.destroyed=new n.Signal0(this,\"destroyed\"),this.change=new n.Signal0(this,\"change\"),this.transformchange=new n.Signal0(this,\"transformchange\"),this.properties={},this._pending=!1,this._changing=!1;const s=e instanceof Map?e.get:t=>e[t];for(const[e,{type:t,default_value:r,options:n}]of u.entries(this._props)){if(null==t)throw new Error(`undefined property type for ${this.type}.${e}`);this.properties[e]=new t(this,e,r,s(e),n)}null!==(t=s(\"__deferred__\"))&&void 0!==t&&t||(this.finalize(),this.connect_signals())}set type(e){console.warn(\"prototype.type = 'ModelName' is deprecated, use static __name__ instead\"),this.constructor.__name__=e}get type(){return this.constructor.__qualified__}static get __qualified__(){const{__module__:e,__name__:t}=this;return null!=e?`${e}.${t}`:t}static init_HasProps(){this.prototype._props={},this.prototype._mixins=[],this.define({id:[o.String,()=>a.uniqueId()]})}static _fix_default(e,t){return void 0===e?void 0:h.isFunction(e)?e:h.isObject(e)?h.isArray(e)?()=>_.copy(e):()=>u.clone(e):()=>e}static define(e){for(const[t,s]of u.entries(e)){if(null!=this.prototype._props[t])throw new Error(`attempted to redefine property '${this.prototype.type}.${t}'`);if(null!=this.prototype[t])throw new Error(`attempted to redefine attribute '${this.prototype.type}.${t}'`);Object.defineProperty(this.prototype,t,{get(){return this.properties[t].get_value()},set(e){return this.setv({[t]:e}),this},configurable:!1,enumerable:!0});const[e,r,n]=s,i={type:e,default_value:this._fix_default(r,t),options:n},o=u.clone(this.prototype._props);o[t]=i,this.prototype._props=o}}static internal(e){const t={};for(const[s,r]of u.entries(e)){const[e,n,i={}]=r;t[s]=[e,n,Object.assign(Object.assign({},i),{internal:!0})]}this.define(t)}static mixins(e){function t(e){switch(e){case\"line\":return c.LineVector;case\"fill\":return c.FillVector;case\"hatch\":return c.HatchVector;case\"text\":return c.TextVector;default:throw new Error(`Unknown property mixin kind '${e}'`)}}function s(e,t){const s={};for(const[r,n]of u.entries(t))s[e+r]=n;return s}function r(e){const[t]=Object.keys(e),[s]=t.split(\"_\",1);return s}h.isArray(e)||(e=[e]);const n={},i=[];for(const o of e)if(h.isString(o)){const[e,r=\"\"]=o.split(\":\"),c=t(e);i.push(o),u.extend(n,s(r,c))}else if(h.isArray(o)){const[e,t]=o;i.push(`${r(t)}:${e}`),u.extend(n,s(e,t))}else{const e=o;i.push(r(e)),u.extend(n,e)}this.define(n),this.prototype._mixins=[...this.prototype._mixins,...i]}static override(e){for(const[t,s]of u.entries(e)){const e=this._fix_default(s,t),r=this.prototype._props[t];if(null==r)throw new Error(`attempted to override nonexistent '${this.prototype.type}.${t}'`);const n=u.clone(this.prototype._props);n[t]=Object.assign(Object.assign({},r),{default_value:e}),this.prototype._props=n}}toString(){return`${this.type}(${this.id})`}property(e){const t=this.properties[e];if(null!=t)return t;throw new Error(`unknown property ${this.type}.${e}`)}get attributes(){const e={};for(const t of this)e[t.attr]=t.get_value();return e}finalize(){for(const e of this)null!=e.spec.transform&&this.connect(e.spec.transform.change,()=>this.transformchange.emit());this.initialize()}initialize(){}connect_signals(){}disconnect_signals(){n.Signal.disconnectReceiver(this)}destroy(){this.disconnect_signals(),this.destroyed.emit()}clone(){return new this.constructor(this.attributes)}_setv(e,t){const s=t.check_eq,r=t.silent,n=[],i=this._changing;this._changing=!0;for(const[t,r]of e)!1!==s&&f.isEqual(t.get_value(),r)||(t.set_value(r),n.push(t));if(!r){n.length>0&&(this._pending=!0);for(const e of n)e.change.emit()}if(!i){if(!r&&!t.no_change)for(;this._pending;)this._pending=!1,this.change.emit();this._pending=!1,this._changing=!1}}setv(e,t={}){if(u.isEmpty(e))return;const s=new Map,r=new Map;for(const t in e){if(!e.hasOwnProperty(t))continue;const n=this.properties[t];if(null==n)throw new Error(`property ${this.type}.${t} wasn't declared`);const i=e[t];s.set(n,i),r.set(n,n.get_value())}this._setv(s,t);const{document:n}=this;if(null!=n){const e=[];for(const[t,s]of r)e.push([t,s,t.get_value()]);for(const[,t,s]of e)if(this._needs_invalidate(t,s)){n._invalidate_all_models();break}!0!==t.silent&&this._push_changes(e,t)}}getv(e){return this.property(e).get_value()}ref(){return{id:this.id}}struct(){const e={type:this.type,id:this.id,attributes:{}};return null!=this._subtype&&(e.subtype=this._subtype),e}set_subtype(e){this._subtype=e}*[Symbol.iterator](){for(const e in this.properties)yield this.properties[e]}*syncable_properties(){for(const e of this)e.syncable&&(yield e)}serializable_attributes(){const e={};for(const t of this.syncable_properties())e[t.attr]=t.get_value();return e}static _value_to_json(e){if(e instanceof y)return e.ref();if(p.is_NDArray(e))return d.encode_NDArray(e);if(h.isArray(e)||h.isTypedArray(e)){const t=e.length,s=new Array(t);for(let r=0;r<t;r++){const t=e[r];s[r]=y._value_to_json(t)}return s}if(h.isPlainObject(e)){const t={};for(const s in e)e.hasOwnProperty(s)&&(t[s]=y._value_to_json(e[s]));return t}return e}attributes_as_json(e=!0,t=y._value_to_json){const s={};for(const r of this)r.syncable&&(e||r.dirty)&&(s[r.attr]=t(r.get_value()));return s}static _json_record_references(e,t,s,r){const{recursive:n}=r;if(i.is_ref(t)){const r=e.get_model_by_id(t.id);null==r||s.has(r)||y._value_record_references(r,s,{recursive:n})}else if(h.isArray(t))for(const r of t)y._json_record_references(e,r,s,{recursive:n});else if(h.isPlainObject(t))for(const r in t)if(t.hasOwnProperty(r)){const i=t[r];y._json_record_references(e,i,s,{recursive:n})}}static _value_record_references(e,t,s){const{recursive:r}=s;if(e instanceof y){if(!t.has(e)&&(t.add(e),r)){const s=e._immediate_references();for(const e of s)y._value_record_references(e,t,{recursive:!0})}}else if(h.isArray(e))for(const s of e)y._value_record_references(s,t,{recursive:r});else if(h.isPlainObject(e))for(const s in e)if(e.hasOwnProperty(s)){const n=e[s];y._value_record_references(n,t,{recursive:r})}}_immediate_references(){const e=new Set;for(const t of this.syncable_properties()){const s=t.get_value();y._value_record_references(s,e,{recursive:!1})}return[...e.values()]}references(){const e=new Set;return y._value_record_references(this,e,{recursive:!0}),e}_doc_attached(){}_doc_detached(){}attach_document(e){if(null!=this.document&&this.document!=e)throw new Error(\"models must be owned by only a single document\");this.document=e,this._doc_attached()}detach_document(){this._doc_detached(),this.document=null}_needs_invalidate(e,t){const s=new Set;y._value_record_references(t,s,{recursive:!1});const r=new Set;y._value_record_references(e,r,{recursive:!1});for(const e of s)if(!r.has(e))return!0;for(const e of r)if(!s.has(e))return!0;return!1}_push_changes(e,t={}){const{document:s}=this;if(null==s)return;const{setter_id:r}=t,n=[];for(const[t,i,o]of e)t.syncable&&n.push(new l.ModelChangedEvent(s,this,t.attr,i,o,r));if(0!=n.length){let e;1==n.length?[e]=n:e=new l.DocumentEventBatch(s,n,r),s._trigger_on_change(e)}}materialize_dataspecs(e){const t={};for(const s of this){if(!(s instanceof o.VectorSpec))continue;if(s.optional&&null==s.spec.value&&!s.dirty)continue;const r=s.attr,n=s.array(e);t[\"_\"+r]=n,s instanceof o.DistanceSpec&&(t[\"max_\"+r]=_.max(n))}return t}on_change(e,t){for(const s of h.isArray(e)?e:[e])this.connect(s.change,t)}}s.HasProps=y,y.init_HasProps()},\n",
+       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=n(15),l=n(9);class o{constructor(n,t){this.sender=n,this.name=t}connect(n,t=null){c.has(this.sender)||c.set(this.sender,[]);const e=c.get(this.sender);if(null!=u(e,this,n,t))return!1;const s=t||n;r.has(s)||r.set(s,[]);const l=r.get(s),o={signal:this,slot:n,context:t};return e.push(o),l.push(o),!0}disconnect(n,t=null){const e=c.get(this.sender);if(null==e||0===e.length)return!1;const s=u(e,this,n,t);if(null==s)return!1;const l=t||n,o=r.get(l);return s.signal=null,f(e),f(o),!0}emit(n){const t=c.get(this.sender)||[];for(const{signal:e,slot:s,context:l}of t)e===this&&s.call(l,n,this.sender)}}e.Signal=o,o.__name__=\"Signal\";class i extends o{emit(){super.emit(void 0)}}e.Signal0=i,i.__name__=\"Signal0\",function(n){n.disconnectBetween=function(n,t){const e=c.get(n);if(null==e||0===e.length)return;const s=r.get(t);if(null!=s&&0!==s.length){for(const t of s){if(null==t.signal)return;t.signal.sender===n&&(t.signal=null)}f(e),f(s)}},n.disconnectSender=function(n){const t=c.get(n);if(null!=t&&0!==t.length){for(const n of t){if(null==n.signal)return;const t=n.context||n.slot;n.signal=null,f(r.get(t))}f(t)}},n.disconnectReceiver=function(n){const t=r.get(n);if(null!=t&&0!==t.length){for(const n of t){if(null==n.signal)return;const t=n.signal.sender;n.signal=null,f(c.get(t))}f(t)}},n.disconnectAll=function(n){const t=c.get(n);if(null!=t&&0!==t.length){for(const n of t)n.signal=null;f(t)}const e=r.get(n);if(null!=e&&0!==e.length){for(const n of e)n.signal=null;f(e)}}}(o||(e.Signal=o={})),e.Signalable=function(){return class{connect(n,t){return n.connect(t,this)}disconnect(n,t){return n.disconnect(t,this)}}};const c=new WeakMap,r=new WeakMap;function u(n,t,e,s){return l.find(n,n=>n.signal===t&&n.slot===e&&n.context===s)}const g=new Set;function f(n){0===g.size&&s.defer(a),g.add(n)}function a(){for(const n of g)l.remove_by(n,n=>null==n.signal);g.clear()}},\n",
+       "      function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.delay=\n",
+       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
+       "      //     Underscore may be freely distributed under the MIT license.\n",
+       "      function(n,e){return setTimeout(n,e)};const u=\"function\"==typeof requestAnimationFrame?requestAnimationFrame:setImmediate;t.defer=function(n){return new Promise(e=>{u(()=>e(n()))})},t.throttle=function(n,e,t={}){let u,o,i,r=null,l=0;const c=function(){l=!1===t.leading?0:Date.now(),r=null,i=n.apply(u,o),r||(u=o=null)};return function(){const a=Date.now();l||!1!==t.leading||(l=a);const f=e-(a-l);return u=this,o=arguments,f<=0||f>e?(r&&(clearTimeout(r),r=null),l=a,i=n.apply(u,o),r||(u=o=null)):r||!1===t.trailing||(r=setTimeout(c,f)),i}},t.once=function(n){let e,t=!1;return function(){return t||(t=!0,e=n()),e}}},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(8),r=e(17);t.is_ref=function(e){if(i.isPlainObject(e)){const n=r.keys(e);return 1==n.length&&\"id\"==n[0]}return!1}},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const c=e(9);function o(e){return Object.keys(e).length}n.keys=Object.keys,n.values=Object.values,n.entries=Object.entries,n.extend=Object.assign,n.clone=function(e){return Object.assign({},e)},n.merge=function(e,t){const n=Object.create(Object.prototype),o=c.concat([Object.keys(e),Object.keys(t)]);for(const s of o){const o=e.hasOwnProperty(s)?e[s]:[],r=t.hasOwnProperty(s)?t[s]:[];n[s]=c.union(o,r)}return n},n.size=o,n.isEmpty=function(e){return 0==o(e)},n.to_object=function(e){const t={};for(const[n,c]of e)t[n]=c;return t}},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(14),s=i.__importStar(e(19)),r=e(9),l=e(12),o=e(20),_=e(8),c=e(22);function u(e){try{return JSON.stringify(e)}catch(t){return e.toString()}}function d(e){return _.isPlainObject(e)&&(void 0===e.value?0:1)+(void 0===e.field?0:1)+(void 0===e.expr?0:1)==1}n.isSpec=d;class p{constructor(e,t,n,i,s={}){var r,l;let o;if(this.obj=e,this.attr=t,this.default_value=n,this._dirty=!1,this.change=new a.Signal0(this.obj,\"change\"),this.internal=null!==(r=s.internal)&&void 0!==r&&r,this.optional=null!==(l=s.optional)&&void 0!==l&&l,void 0!==i)o=i,this._dirty=!0;else{const t=this._default_override();o=void 0!==t?t:void 0!==n?n(e):null}this._update(o)}get syncable(){return!this.internal}get_value(){return this.spec.value}set_value(e){this._update(e),this._dirty=!0}_default_override(){}get dirty(){return this._dirty}_update(e){null!=e&&this.validate(e),this.spec={value:e}}toString(){return`Prop(${this.obj}.${this.attr}, spec: ${u(this.spec)})`}normalize(e){return e}validate(e){if(!this.valid(e))throw new Error(`${this.obj.type}.${this.attr} given invalid value: ${u(e)}`)}valid(e){return!0}value(e=!0){if(void 0===this.spec.value)throw new Error(\"attempted to retrieve property value for property without value specification\");let t=this.normalize([this.spec.value])[0];return null!=this.spec.transform&&e&&(t=this.spec.transform.compute(t)),t}}n.Property=p,p.__name__=\"Property\";class S extends p{}n.Any=S,S.__name__=\"Any\";class h extends p{valid(e){return _.isArray(e)||e instanceof Float64Array}}n.Array=h,h.__name__=\"Array\";class m extends p{valid(e){return _.isBoolean(e)}}n.Boolean=m,m.__name__=\"Boolean\";class v extends p{valid(e){return _.isString(e)&&o.is_color(e)}}n.Color=v,v.__name__=\"Color\";class g extends p{}n.Instance=g,g.__name__=\"Instance\";class x extends p{valid(e){return _.isNumber(e)}}n.Number=x,x.__name__=\"Number\";class y extends x{valid(e){return _.isNumber(e)&&(0|e)==e}}n.Int=y,y.__name__=\"Int\";class f extends x{}n.Angle=f,f.__name__=\"Angle\";class P extends x{valid(e){return _.isNumber(e)&&0<=e&&e<=1}}n.Percent=P,P.__name__=\"Percent\";class A extends p{valid(e){return _.isString(e)}}n.String=A,A.__name__=\"String\";class L extends p{valid(e){return null===e||_.isString(e)}}n.NullString=L,L.__name__=\"NullString\";class T extends A{}n.FontSize=T,T.__name__=\"FontSize\";class b extends A{_default_override(){return c.settings.dev?\"Bokeh\":void 0}}n.Font=b,b.__name__=\"Font\";class M extends p{valid(e){return _.isString(e)&&r.includes(this.enum_values,e)}}function B(e){return class extends M{get enum_values(){return e}}}n.EnumProperty=M,M.__name__=\"EnumProperty\",n.Enum=B;class C extends M{get enum_values(){return s.Direction}normalize(e){const t=new Uint8Array(e.length);for(let n=0;n<e.length;n++)switch(e[n]){case\"clock\":t[n]=0;break;case\"anticlock\":t[n]=1}return t}}n.Direction=C,C.__name__=\"Direction\",n.Anchor=B(s.Anchor),n.AngleUnits=B(s.AngleUnits),n.BoxOrigin=B(s.BoxOrigin),n.ButtonType=B(s.ButtonType),n.CalendarPosition=B(s.CalendarPosition),n.Dimension=B(s.Dimension),n.Dimensions=B(s.Dimensions),n.Distribution=B(s.Distribution),n.FontStyle=B(s.FontStyle),n.HatchPatternType=B(s.HatchPatternType),n.HTTPMethod=B(s.HTTPMethod),n.HexTileOrientation=B(s.HexTileOrientation),n.HoverMode=B(s.HoverMode),n.LatLon=B(s.LatLon),n.LegendClickPolicy=B(s.LegendClickPolicy),n.LegendLocation=B(s.LegendLocation),n.LineCap=B(s.LineCap),n.LineJoin=B(s.LineJoin),n.LinePolicy=B(s.LinePolicy),n.Location=B(s.Location),n.Logo=B(s.Logo),n.MarkerType=B(s.MarkerType),n.MutedPolicy=B(s.MutedPolicy),n.Orientation=B(s.Orientation),n.OutputBackend=B(s.OutputBackend),n.PaddingUnits=B(s.PaddingUnits),n.Place=B(s.Place),n.PointPolicy=B(s.PointPolicy),n.RadiusDimension=B(s.RadiusDimension),n.RenderLevel=B(s.RenderLevel),n.RenderMode=B(s.RenderMode),n.ResetPolicy=B(s.ResetPolicy),n.RoundingFunction=B(s.RoundingFunction),n.Side=B(s.Side),n.SizingMode=B(s.SizingMode),n.Sort=B(s.Sort),n.SpatialUnits=B(s.SpatialUnits),n.StartEnd=B(s.StartEnd),n.StepMode=B(s.StepMode),n.TapBehavior=B(s.TapBehavior),n.TextAlign=B(s.TextAlign),n.TextBaseline=B(s.TextBaseline),n.TextureRepetition=B(s.TextureRepetition),n.TickLabelOrientation=B(s.TickLabelOrientation),n.TooltipAttachment=B(s.TooltipAttachment),n.UpdateMode=B(s.UpdateMode),n.VerticalAlign=B(s.VerticalAlign);class N extends p{get_value(){return null===this.spec.value?null:this.spec}_update(e){d(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}}n.ScalarSpec=N,N.__name__=\"ScalarSpec\";class z extends N{}n.AnyScalar=z,z.__name__=\"AnyScalar\";class D extends N{}n.ColorScalar=D,D.__name__=\"ColorScalar\";class F extends N{}n.NumberScalar=F,F.__name__=\"NumberScalar\";class k extends N{}n.StringScalar=k,k.__name__=\"StringScalar\";class O extends N{}n.NullStringScalar=O,O.__name__=\"NullStringScalar\";class U extends N{}n.ArrayScalar=U,U.__name__=\"ArrayScalar\";class w extends N{}n.LineJoinScalar=w,w.__name__=\"LineJoinScalar\";class R extends N{}n.LineCapScalar=R,R.__name__=\"LineCapScalar\";class E extends N{}n.FontSizeScalar=E,E.__name__=\"FontSizeScalar\";class $ extends N{}n.FontStyleScalar=$,$.__name__=\"FontStyleScalar\";class H extends N{}n.TextAlignScalar=H,H.__name__=\"TextAlignScalar\";class j extends N{}n.TextBaselineScalar=j,j.__name__=\"TextBaselineScalar\";class I extends p{get_value(){return null===this.spec.value?null:this.spec}_update(e){d(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}array(e){let t;if(null!=this.spec.field){if(t=this.normalize(e.get_column(this.spec.field)),null==t)throw new Error(`attempted to retrieve property array for nonexistent field '${this.spec.field}'`)}else if(null!=this.spec.expr)t=this.normalize(this.spec.expr.v_compute(e));else{let n=e.get_length();null==n&&(n=1);const i=this.value(!1);t=r.repeat(i,n)}return null!=this.spec.transform&&(t=this.spec.transform.v_compute(t)),t}}n.VectorSpec=I,I.__name__=\"VectorSpec\";class J extends I{}n.DataSpec=J,J.__name__=\"DataSpec\";class V extends I{_update(e){super._update(e),null==this.spec.units&&(this.spec.units=this.default_units);const t=this.spec.units;if(!r.includes(this.valid_units,t))throw new Error(`units must be one of ${this.valid_units.join(\", \")}; 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J{}n.StringSpec=te,te.__name__=\"StringSpec\";class ne extends J{}n.NullStringSpec=ne,ne.__name__=\"NullStringSpec\"},\n",
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+       "      function _(e,r,a){function s(e,r,a){Array.isArray(r)&&(a.unshift(r),r=null);var s=r?{}:e,n=a.reduce((function(e,r){return c(r,e),e}),s);r&&(e[r]=n)}function c(e,r){if(Array.isArray(e)){var a=e.shift();if(\"PARAMETER\"===a&&(a=e.shift()),1===e.length)return Array.isArray(e[0])?(r[a]={},void c(e[0],r[a])):void(r[a]=e[0]);if(e.length)if(\"TOWGS84\"!==a){if(\"AXIS\"===a)return a in r||(r[a]=[]),void r[a].push(e);var n;switch(Array.isArray(a)||(r[a]={}),a){case\"UNIT\":case\"PRIMEM\":case\"VERT_DATUM\":return r[a]={name:e[0].toLowerCase(),convert:e[1]},void(3===e.length&&c(e[2],r[a]));case\"SPHEROID\":case\"ELLIPSOID\":return r[a]={name:e[0],a:e[1],rf:e[2]},void(4===e.length&&c(e[3],r[a]));case\"PROJECTEDCRS\":case\"PROJCRS\":case\"GEOGCS\":case\"GEOCCS\":case\"PROJCS\":case\"LOCAL_CS\":case\"GEODCRS\":case\"GEODETICCRS\":case\"GEODETICDATUM\":case\"EDATUM\":case\"ENGINEERINGDATUM\":case\"VERT_CS\":case\"VERTCRS\":case\"VERTICALCRS\":case\"COMPD_CS\":case\"COMPOUNDCRS\":case\"ENGINEERINGCRS\":case\"ENGCRS\":case\"FITTED_CS\":case\"LOCAL_DATUM\":case\"DATUM\":return e[0]=[\"name\",e[0]],void s(r,a,e);default:for(n=-1;++n<e.length;)if(!Array.isArray(e[n]))return c(e,r[a]);return s(r,a,e)}}else r[a]=e;else r[a]=!0}else r[e]=!0}Object.defineProperty(a,\"__esModule\",{value:!0}),a.sExpr=c},\n",
+       "      function _(e,n,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.default=function(e,n){var r,t;if(e=e||{},!n)return e;for(t in n)void 0!==(r=n[t])&&(e[t]=r);return e}},\n",
+       "      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(1),n=a.__importDefault(t(48)),r=a.__importDefault(t(54));var u=[n.default,r.default],f={},i=[];function d(t,e){var o=i.length;return t.names?(i[o]=t,t.names.forEach((function(t){f[t.toLowerCase()]=o})),this):(console.log(e),!0)}function c(t){if(!t)return!1;var e=t.toLowerCase();return void 0!==f[e]&&i[f[e]]?i[f[e]]:void 0}function l(){u.forEach(d)}o.add=d,o.get=c,o.start=l,o.default={start:l,add:d,get:c}},\n",
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+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.default=function(e,t,n){var r=e*t;return n/Math.sqrt(1-r*r)}},\n",
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+       "      function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(39);e.default=function(t,a){for(var e,r,o=.5*t,u=n.HALF_PI-2*Math.atan(a),f=0;f<=15;f++)if(e=t*Math.sin(u),u+=r=n.HALF_PI-2*Math.atan(a*Math.pow((1-e)/(1+e),o))-u,Math.abs(r)<=1e-10)return u;return-9999}},\n",
+       "      function _(e,n,i){function t(){}function r(e){return e}Object.defineProperty(i,\"__esModule\",{value:!0}),i.init=t,i.forward=r,i.inverse=r,i.names=[\"longlat\",\"identity\"],i.default={init:t,forward:r,inverse:r,names:i.names}},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=e(1),n=e(39),f=a.__importStar(e(56)),u=a.__importDefault(e(42));r.eccentricity=function(e,t,r,a){var f=e*e,u=t*t,i=(f-u)/f,c=0;return a?(f=(e*=1-i*(n.SIXTH+i*(n.RA4+i*n.RA6)))*e,i=0):c=Math.sqrt(i),{es:i,e:c,ep2:(f-u)/u}},r.sphere=function(e,t,r,a,i){if(!e){var c=u.default(f.default,a);c||(c=f.WGS84),e=c.a,t=c.b,r=c.rf}return r&&!t&&(t=(1-1/r)*e),(0===r||Math.abs(e-t)<n.EPSLN)&&(i=!0,t=e),{a:e,b:t,rf:r,sphere:i}}},\n",
+       "      function _(e,a,l){Object.defineProperty(l,\"__esModule\",{value:!0});var s={};l.default=s,s.MERIT={a:6378137,rf:298.257,ellipseName:\"MERIT 1983\"},s.SGS85={a:6378136,rf:298.257,ellipseName:\"Soviet Geodetic System 85\"},s.GRS80={a:6378137,rf:298.257222101,ellipseName:\"GRS 1980(IUGG, 1980)\"},s.IAU76={a:6378140,rf:298.257,ellipseName:\"IAU 1976\"},s.airy={a:6377563.396,b:6356256.91,ellipseName:\"Airy 1830\"},s.APL4={a:6378137,rf:298.25,ellipseName:\"Appl. Physics. 1965\"},s.NWL9D={a:6378145,rf:298.25,ellipseName:\"Naval Weapons Lab., 1965\"},s.mod_airy={a:6377340.189,b:6356034.446,ellipseName:\"Modified Airy\"},s.andrae={a:6377104.43,rf:300,ellipseName:\"Andrae 1876 (Den., Iclnd.)\"},s.aust_SA={a:6378160,rf:298.25,ellipseName:\"Australian Natl & S. Amer. 1969\"},s.GRS67={a:6378160,rf:298.247167427,ellipseName:\"GRS 67(IUGG 1967)\"},s.bessel={a:6377397.155,rf:299.1528128,ellipseName:\"Bessel 1841\"},s.bess_nam={a:6377483.865,rf:299.1528128,ellipseName:\"Bessel 1841 (Namibia)\"},s.clrk66={a:6378206.4,b:6356583.8,ellipseName:\"Clarke 1866\"},s.clrk80={a:6378249.145,rf:293.4663,ellipseName:\"Clarke 1880 mod.\"},s.clrk58={a:6378293.645208759,rf:294.2606763692654,ellipseName:\"Clarke 1858\"},s.CPM={a:6375738.7,rf:334.29,ellipseName:\"Comm. des Poids et Mesures 1799\"},s.delmbr={a:6376428,rf:311.5,ellipseName:\"Delambre 1810 (Belgium)\"},s.engelis={a:6378136.05,rf:298.2566,ellipseName:\"Engelis 1985\"},s.evrst30={a:6377276.345,rf:300.8017,ellipseName:\"Everest 1830\"},s.evrst48={a:6377304.063,rf:300.8017,ellipseName:\"Everest 1948\"},s.evrst56={a:6377301.243,rf:300.8017,ellipseName:\"Everest 1956\"},s.evrst69={a:6377295.664,rf:300.8017,ellipseName:\"Everest 1969\"},s.evrstSS={a:6377298.556,rf:300.8017,ellipseName:\"Everest (Sabah & Sarawak)\"},s.fschr60={a:6378166,rf:298.3,ellipseName:\"Fischer (Mercury Datum) 1960\"},s.fschr60m={a:6378155,rf:298.3,ellipseName:\"Fischer 1960\"},s.fschr68={a:6378150,rf:298.3,ellipseName:\"Fischer 1968\"},s.helmert={a:6378200,rf:298.3,ellipseName:\"Helmert 1906\"},s.hough={a:6378270,rf:297,ellipseName:\"Hough\"},s.intl={a:6378388,rf:297,ellipseName:\"International 1909 (Hayford)\"},s.kaula={a:6378163,rf:298.24,ellipseName:\"Kaula 1961\"},s.lerch={a:6378139,rf:298.257,ellipseName:\"Lerch 1979\"},s.mprts={a:6397300,rf:191,ellipseName:\"Maupertius 1738\"},s.new_intl={a:6378157.5,b:6356772.2,ellipseName:\"New International 1967\"},s.plessis={a:6376523,rf:6355863,ellipseName:\"Plessis 1817 (France)\"},s.krass={a:6378245,rf:298.3,ellipseName:\"Krassovsky, 1942\"},s.SEasia={a:6378155,b:6356773.3205,ellipseName:\"Southeast Asia\"},s.walbeck={a:6376896,b:6355834.8467,ellipseName:\"Walbeck\"},s.WGS60={a:6378165,rf:298.3,ellipseName:\"WGS 60\"},s.WGS66={a:6378145,rf:298.25,ellipseName:\"WGS 66\"},s.WGS7={a:6378135,rf:298.26,ellipseName:\"WGS 72\"},l.WGS84=s.WGS84={a:6378137,rf:298.257223563,ellipseName:\"WGS 84\"},s.sphere={a:6370997,b:6370997,ellipseName:\"Normal Sphere (r=6370997)\"}},\n",
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+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),c=s.__importStar(e(23)),l=s.__importStar(e(18)),i=e(20),h=e(12);function o(e,t,a){e.moveTo(0,a+.5),e.lineTo(t,a+.5),e.stroke()}function r(e,t,a){e.moveTo(a+.5,0),e.lineTo(a+.5,t),e.stroke()}function n(e,t){e.moveTo(0,t),e.lineTo(t,0),e.stroke(),e.moveTo(0,0),e.lineTo(t,t),e.stroke()}function _(e,t,a,s){const c=a,l=c/2,i=l/2,h=function(e){const t=document.createElement(\"canvas\");return t.width=e,t.height=e,t}(a),_=h.getContext(\"2d\");switch(_.strokeStyle=t,_.lineCap=\"square\",_.fillStyle=t,_.lineWidth=s,e){case\" 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a=.1*t,s=l+e*a*Math.cos(a),c=l+e*a*Math.sin(a);_.lineTo(s,c)}_.stroke();break;case\"/\":case\"right_diagonal_line\":_.moveTo(.5-i,c),_.lineTo(i+.5,0),_.stroke(),_.moveTo(i+.5,c),_.lineTo(3*i+.5,0),_.stroke(),_.moveTo(3*i+.5,c),_.lineTo(5*i+.5,0),_.stroke(),_.stroke();break;case\"\\\\\":case\"left_diagonal_line\":_.moveTo(i+.5,c),_.lineTo(.5-i,0),_.stroke(),_.moveTo(3*i+.5,c),_.lineTo(i+.5,0),_.stroke(),_.moveTo(5*i+.5,c),_.lineTo(3*i+.5,0),_.stroke(),_.stroke();break;case\"x\":case\"diagonal_cross\":n(_,c);break;case\",\":case\"right_diagonal_dash\":_.moveTo(i+.5,3*i+.5),_.lineTo(3*i+.5,i+.5),_.stroke();break;case\"`\":case\"left_diagonal_dash\":_.moveTo(i+.5,i+.5),_.lineTo(3*i+.5,3*i+.5),_.stroke();break;case\"v\":case\"horizontal_wave\":_.moveTo(0,i),_.lineTo(l,3*i),_.lineTo(c,i),_.stroke();break;case\">\":case\"vertical_wave\":_.moveTo(i,0),_.lineTo(3*i,l),_.lineTo(i,c),_.stroke();break;case\"*\":case\"criss_cross\":n(_,c),o(_,c,l),r(_,c,l)}return h}class u{constructor(e,t=\"\"){this.obj=e,this.prefix=t,this.cache={};for(const a of this.attrs)this[a]=e.properties[t+a]}warm_cache(e){for(const t of this.attrs){const a=this.obj.properties[this.prefix+t];if(void 0!==a.spec.value)this.cache[t]=a.spec.value;else{if(!(null!=e&&a instanceof l.VectorSpec))throw new Error(\"source is required with a vectorized visual property\");this.cache[t+\"_array\"]=a.array(e)}}}cache_select(e,t){const a=this.obj.properties[this.prefix+e];let s;return void 0!==a.spec.value?this.cache[e]=s=a.spec.value:this.cache[e]=s=this.cache[e+\"_array\"][t],s}get_array(e){const t=this.cache[e+\"_array\"];return null!=this.all_indices?h.map(this.all_indices,e=>t[e]):t}set_vectorize(e,t){null!=this.all_indices?this._set_vectorize(e,this.all_indices[t]):this._set_vectorize(e,t)}}a.ContextProperties=u,u.__name__=\"ContextProperties\";class p extends u{set_value(e){e.strokeStyle=this.line_color.value(),e.globalAlpha=this.line_alpha.value(),e.lineWidth=this.line_width.value(),e.lineJoin=this.line_join.value(),e.lineCap=this.line_cap.value(),e.setLineDash(this.line_dash.value()),e.setLineDashOffset(this.line_dash_offset.value())}get doit(){return!(null===this.line_color.spec.value||0==this.line_alpha.spec.value||0==this.line_width.spec.value)}_set_vectorize(e,t){this.cache_select(\"line_color\",t),e.strokeStyle=this.cache.line_color,this.cache_select(\"line_alpha\",t),e.globalAlpha=this.cache.line_alpha,this.cache_select(\"line_width\",t),e.lineWidth=this.cache.line_width,this.cache_select(\"line_join\",t),e.lineJoin=this.cache.line_join,this.cache_select(\"line_cap\",t),e.lineCap=this.cache.line_cap,this.cache_select(\"line_dash\",t),e.setLineDash(this.cache.line_dash),this.cache_select(\"line_dash_offset\",t),e.setLineDashOffset(this.cache.line_dash_offset)}color_value(){return i.color2css(this.line_color.value(),this.line_alpha.value())}}a.Line=p,p.__name__=\"Line\",p.prototype.attrs=Object.keys(c.LineVector);class v extends u{set_value(e){e.fillStyle=this.fill_color.value(),e.globalAlpha=this.fill_alpha.value()}get doit(){return!(null===this.fill_color.spec.value||0==this.fill_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"fill_color\",t),e.fillStyle=this.cache.fill_color,this.cache_select(\"fill_alpha\",t),e.globalAlpha=this.cache.fill_alpha}color_value(){return i.color2css(this.fill_color.value(),this.fill_alpha.value())}}a.Fill=v,v.__name__=\"Fill\",v.prototype.attrs=Object.keys(c.FillVector);class f extends u{cache_select(e,t){let a;if(\"pattern\"==e){this.cache_select(\"hatch_color\",t),this.cache_select(\"hatch_scale\",t),this.cache_select(\"hatch_pattern\",t),this.cache_select(\"hatch_weight\",t);const{hatch_color:e,hatch_scale:a,hatch_pattern:s,hatch_weight:c,hatch_extra:l}=this.cache;if(null!=l&&l.hasOwnProperty(s)){const t=l[s];this.cache.pattern=t.get_pattern(e,a,c)}else this.cache.pattern=t=>{const l=_(s,e,a,c);return t.createPattern(l,\"repeat\")}}else a=super.cache_select(e,t);return a}_try_defer(e){const{hatch_pattern:t,hatch_extra:a}=this.cache;if(null!=a&&a.hasOwnProperty(t)){a[t].onload(e)}}get doit(){return!(null===this.hatch_color.spec.value||0==this.hatch_alpha.spec.value||\" \"==this.hatch_pattern.spec.value||\"blank\"==this.hatch_pattern.spec.value||null===this.hatch_pattern.spec.value)}doit2(e,t,a,s){if(!this.doit)return;this.cache_select(\"pattern\",t),null==this.cache.pattern(e)?this._try_defer(s):(this.set_vectorize(e,t),a())}_set_vectorize(e,t){this.cache_select(\"pattern\",t),e.fillStyle=this.cache.pattern(e),this.cache_select(\"hatch_alpha\",t),e.globalAlpha=this.cache.hatch_alpha}color_value(){return i.color2css(this.hatch_color.value(),this.hatch_alpha.value())}}a.Hatch=f,f.__name__=\"Hatch\",f.prototype.attrs=Object.keys(c.HatchVector);class d extends u{color_value(){return i.color2css(this.text_color.value(),this.text_alpha.value())}font_value(){const e=this.text_font.value(),t=this.text_font_size.value();return`${this.text_font_style.value()} ${t} ${e}`}v_font_value(e){super.cache_select(\"text_font_style\",e),super.cache_select(\"text_font_size\",e),super.cache_select(\"text_font\",e);const{text_font_style:t,text_font_size:a,text_font:s}=this.cache;return`${t} ${a} ${s}`}cache_select(e,t){let a;return\"font\"==e?this.cache.font=a=this.v_font_value(t):a=super.cache_select(e,t),a}set_value(e){e.font=this.font_value(),e.fillStyle=this.text_color.value(),e.globalAlpha=this.text_alpha.value(),e.textAlign=this.text_align.value(),e.textBaseline=this.text_baseline.value()}get doit(){return!(null===this.text_color.spec.value||0==this.text_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"font\",t),e.font=this.cache.font,this.cache_select(\"text_color\",t),e.fillStyle=this.cache.text_color,this.cache_select(\"text_alpha\",t),e.globalAlpha=this.cache.text_alpha,this.cache_select(\"text_align\",t),e.textAlign=this.cache.text_align,this.cache_select(\"text_baseline\",t),e.textBaseline=this.cache.text_baseline}}a.Text=d,d.__name__=\"Text\",d.prototype.attrs=Object.keys(c.TextVector);class k{constructor(e){for(const t of e._mixins){const[a,s=\"\"]=t.split(\":\");let c;switch(a){case\"line\":c=p;break;case\"fill\":c=v;break;case\"hatch\":c=f;break;case\"text\":c=d;break;default:throw new Error(\"unknown visual: \"+a)}this[s+a]=new c(e,s)}}warm_cache(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&a.warm_cache(e)}}set_all_indices(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&(a.all_indices=e)}}}a.Visuals=k,k.__name__=\"Visuals\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),c=e(13),i=n.__importStar(e(18)),a=e(8),r=e(17),o=e(72);class l extends c.HasProps{constructor(e){super(e)}static init_Model(){this.define({tags:[i.Array,[]],name:[i.String],js_property_callbacks:[i.Any,{}],js_event_callbacks:[i.Any,{}],subscribed_events:[i.Array,[]]})}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,()=>this._update_property_callbacks()),this.connect(this.properties.js_event_callbacks.change,()=>this._update_event_callbacks()),this.connect(this.properties.subscribed_events.change,()=>this._update_event_callbacks())}_process_event(e){for(const t of this.js_event_callbacks[e.event_name]||[])t.execute(e);null!=this.document&&this.subscribed_events.some(t=>t==e.event_name)&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):o.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of r.entries(this.js_property_callbacks)){const n=s.map(e=>()=>e.execute(this));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){r.isEmpty(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if(a.isString(e))return[...this.references()].filter(t=>t instanceof l&&t.name===e);if(e.prototype instanceof c.HasProps)return[...this.references()].filter(t=>t instanceof e);throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=l,l.__name__=\"Model\",l.init_Model()},\n",
+       "      function _(e,l,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(8),t={};class s{constructor(e,l){this.name=e,this.level=l}}o.LogLevel=s,s.__name__=\"LogLevel\";class g{constructor(e,l=g.INFO){this._name=e,this.set_level(l)}static get levels(){return Object.keys(g.log_levels)}static get(e,l=g.INFO){if(e.length>0){let o=t[e];return null==o&&(t[e]=o=new g(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof s)this._log_level=e;else{if(!n.isString(e)||null==g.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=g.log_levels[e]}const l=`[${this._name}]`;for(const e in g.log_levels){g.log_levels[e].level<this._log_level.level||this._log_level.level===g.OFF.level?this[e]=function(){}:this[e]=r(e,l)}}trace(...e){}debug(...e){}info(...e){}warn(...e){}error(...e){}}function r(e,l){return null!=console[e]?console[e].bind(console,l):null!=console.log?console.log.bind(console,l):function(){}}function i(e){const l=o.logger.level;return n.isString(e)&&null==g.log_levels[e]?(console.log(`[bokeh] unrecognized logging level '${e}' passed to Bokeh.set_log_level(), ignoring`),console.log(\"[bokeh] valid log levels are: \"+g.levels.join(\", \"))):(console.log(`[bokeh] setting log level to: '${n.isString(e)?e:e.level}'`),o.logger.set_level(e)),l}o.Logger=g,g.__name__=\"Logger\",g.TRACE=new s(\"trace\",0),g.DEBUG=new s(\"debug\",1),g.INFO=new s(\"info\",2),g.WARN=new s(\"warn\",6),g.ERROR=new s(\"error\",7),g.FATAL=new s(\"fatal\",8),g.OFF=new s(\"off\",9),g.log_levels={trace:g.TRACE,debug:g.DEBUG,info:g.INFO,warn:g.WARN,error:g.ERROR,fatal:g.FATAL,off:g.OFF},o.logger=g.get(\"bokeh\"),o.set_log_level=i,o.with_log_level=function(e,l){const o=i(e);try{l()}finally{i(o)}}},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-shading {\\n  position: absolute;\\n  display: block;\\n  border: 1px dashed green;\\n}\\n\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),a=t(31),n=t(75),r=t(76),o=t(23),_=i.__importStar(t(18)),l=t(10);class h extends a.AnnotationView{initialize(){super.initialize(),null==this.model.source&&(this.model.source=new r.ColumnDataSource),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.set_data(this.model.source)),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source))}set_data(t){super.set_data(t),this.visuals.warm_cache(t),this.plot_view.request_render()}_map_data(){const{frame:t}=this.plot_view;let e,s,i,a;return\"data\"==this.model.start_units?(e=t.xscales[this.model.x_range_name].v_compute(this._x_start),s=t.yscales[this.model.y_range_name].v_compute(this._y_start)):(e=t.xview.v_compute(this._x_start),s=t.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(i=t.xscales[this.model.x_range_name].v_compute(this._x_end),a=t.yscales[this.model.y_range_name].v_compute(this._y_end)):(i=t.xview.v_compute(this._x_end),a=t.yview.v_compute(this._y_end)),[[e,s],[i,a]]}render(){if(!this.model.visible)return;const{ctx:t}=this.layer;t.save();const[e,s]=this._map_data();null!=this.model.end&&this._arrow_head(t,\"render\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"render\",this.model.start,s,e),t.beginPath();const{x:i,y:a,width:n,height:r}=this.plot_view.frame.bbox;t.rect(i,a,n,r),null!=this.model.end&&this._arrow_head(t,\"clip\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"clip\",this.model.start,s,e),t.closePath(),t.clip(),this._arrow_body(t,e,s),t.restore()}_arrow_head(t,e,s,i,a){for(let n=0,r=this._x_start.length;n<r;n++){const r=Math.PI/2+l.atan2([i[0][n],i[1][n]],[a[0][n],a[1][n]]);t.save(),t.translate(a[0][n],a[1][n]),t.rotate(r),\"render\"==e?s.render(t,n):\"clip\"==e&&s.clip(t,n),t.restore()}}_arrow_body(t,e,s){if(this.visuals.line.doit)for(let i=0,a=this._x_start.length;i<a;i++)this.visuals.line.set_vectorize(t,i),t.beginPath(),t.moveTo(e[0][i],e[1][i]),t.lineTo(s[0][i],s[1][i]),t.stroke()}}s.ArrowView=h,h.__name__=\"ArrowView\";class d extends a.Annotation{constructor(t){super(t)}static init_Arrow(){this.prototype.default_view=h,this.mixins(o.LineVector),this.define({x_start:[_.NumberSpec],y_start:[_.NumberSpec],start_units:[_.SpatialUnits,\"data\"],start:[_.Instance,null],x_end:[_.NumberSpec],y_end:[_.NumberSpec],end_units:[_.SpatialUnits,\"data\"],end:[_.Instance,()=>new n.OpenHead({})],source:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]})}}s.Arrow=d,d.__name__=\"Arrow\",d.init_Arrow()},\n",
+       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),o=i(31),l=i(70),n=i(23),h=t.__importStar(i(18));class a extends o.Annotation{constructor(i){super(i)}static init_ArrowHead(){this.define({size:[h.Number,25]})}initialize(){super.initialize(),this.visuals=new l.Visuals(this)}}s.ArrowHead=a,a.__name__=\"ArrowHead\",a.init_ArrowHead();class r extends a{constructor(i){super(i)}static init_OpenHead(){this.mixins(n.LineVector)}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,0),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.stroke())}}s.OpenHead=r,r.__name__=\"OpenHead\",r.init_OpenHead();class z extends a{constructor(i){super(i)}static init_NormalHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._normal(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._normal(i,e),i.stroke())}_normal(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.closePath()}}s.NormalHead=z,z.__name__=\"NormalHead\",z.init_NormalHead();class _ extends a{constructor(i){super(i)}static init_VeeHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._vee(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._vee(i,e),i.stroke())}_vee(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.closePath()}}s.VeeHead=_,_.__name__=\"VeeHead\",_.init_VeeHead();class c extends a{constructor(i){super(i)}static init_TeeHead(){this.mixins(n.LineVector)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,0),i.lineTo(-.5*this.size,0),i.stroke())}clip(i,e){}}s.TeeHead=c,c.__name__=\"TeeHead\",c.init_TeeHead()},\n",
+       "      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(77),r=s.__importStar(t(18)),i=t(8),l=t(17),a=s.__importStar(t(103)),c=t(104),u=t(105);function h(t,n,e){if(i.isArray(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if(i.isTypedArray(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let i;t.length<e?(i=new t.constructor(e),i.set(t,0)):i=t;for(let t=o,n=r;t<n;t++)i[t-o]=i[t];for(let t=0,e=n.length;t<e;t++)i[t+(r-o)]=n[t];return i}{const e=new t.constructor(n);return a.concat(t,e)}}throw new Error(\"unsupported array types\")}function d(t,n){let e,s,o;return i.isNumber(t)?(e=t,o=t+1,s=1):(e=null!=t.start?t.start:0,o=null!=t.stop?t.stop:n,s=null!=t.step?t.step:1),[e,o,s]}function m(t,n){const e=new Set;let s=!1;for(const[o,r]of n){let n,l,a,c;if(i.isArray(o)){const[s]=o;e.add(s),n=t[s].shape,l=t[s],c=r,2===o.length?(n=[1,n[0]],a=[o[0],0,o[1]]):a=o}else i.isNumber(o)?(c=[r],e.add(o)):(c=r,s=!0),a=[0,0,o],n=[1,t.length],l=t;let u=0;const[h,m,f]=d(a[1],n[0]),[_,p,g]=d(a[2],n[1]);for(let t=h;t<m;t+=f)for(let o=_;o<p;o+=g)s&&e.add(o),l[t*n[1]+o]=c[u],u++}return e}e.stream_to_column=h,e.slice=d,e.patch_to_column=m;class f extends o.ColumnarDataSource{constructor(t){super(t)}static init_ColumnDataSource(){this.define({data:[r.Any,{}]})}stream(t,n,e){const{data:s}=this;for(const e in t)s[e]=h(s[e],t[e],n);if(this.setv({data:s},{silent:!0}),this.streaming.emit(),null!=this.document){const s=new u.ColumnsStreamedEvent(this.document,this.ref(),t,n);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:s})}}patch(t,n){const{data:e}=this;let s=new Set;for(const[n,o]of l.entries(t))s=c.union(s,m(e[n],o));if(this.setv({data:e},{silent:!0}),this.patching.emit([...s]),null!=this.document){const e=new u.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:e})}}}e.ColumnDataSource=f,f.__name__=\"ColumnDataSource\",f.init_ColumnDataSource()},\n",
+       "      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(78),i=t(14),r=t(72),c=t(80),l=a.__importStar(t(18)),o=t(8),u=t(9),h=t(17),g=t(79),_=t(102);class d extends s.DataSource{constructor(t){super(t)}get_array(t){let n=this.data[t];return null==n?this.data[t]=n=[]:o.isArray(n)||(this.data[t]=n=Array.from(n)),n}static init_ColumnarDataSource(){this.define({selection_policy:[l.Instance,()=>new _.UnionRenderers]}),this.internal({selection_manager:[l.Instance,t=>new c.SelectionManager({source:t})],inspected:[l.Instance,()=>new g.Selection]})}initialize(){super.initialize(),this._select=new i.Signal0(this,\"select\"),this.inspect=new i.Signal(this,\"inspect\"),this.streaming=new i.Signal0(this,\"streaming\"),this.patching=new i.Signal(this,\"patching\")}get_column(t){const n=this.data[t];return null!=n?n:null}columns(){return h.keys(this.data)}get_length(t=!0){const n=u.uniq(h.values(this.data).map(t=>t.length));switch(n.length){case 0:return null;case 1:return n[0];default:{const e=\"data source has columns of inconsistent lengths\";if(t)return r.logger.warn(e),n.sort()[0];throw new Error(e)}}}get_indices(){const t=this.get_length();return u.range(0,null!=t?t:1)}clear(){const t={};for(const n of this.columns())t[n]=new this.data[n].constructor(0);this.data=t}}e.ColumnarDataSource=d,d.__name__=\"ColumnarDataSource\",d.init_ColumnarDataSource()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const c=e(1),n=e(71),o=e(79),i=c.__importStar(e(18));class r extends n.Model{constructor(e){super(e)}static init_DataSource(){this.define({selected:[i.Instance,()=>new o.Selection]})}}a.DataSource=r,r.__name__=\"DataSource\",r.init_DataSource()},\n",
+       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),l=t.__importStar(i(18)),c=i(9),_=i(17);class h extends n.Model{constructor(i){super(i)}static init_Selection(){this.define({indices:[l.Array,[]],line_indices:[l.Array,[]],multiline_indices:[l.Any,{}]}),this.internal({selected_glyphs:[l.Array,[]],get_view:[l.Any],image_indices:[l.Array,[]]})}initialize(){super.initialize(),this.get_view=()=>null}static from_hits(i){const e=c.sort_by(i,([,i])=>i).map(([i])=>i);return new h({indices:e})}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.get_view=i.get_view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.get_view=()=>null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=c.union(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=c.intersection(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=c.difference(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=h,h.__name__=\"Selection\",h.init_Selection()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(13),o=e(79),c=e(81),r=e(100),l=i.__importStar(e(18));class p extends n.HasProps{constructor(e){super(e),this.inspectors=new Map}static init_SelectionManager(){this.internal({source:[l.Any]})}select(e,t,s,i=\"replace\"){const n=[],o=[];for(const t of e)t instanceof c.GlyphRendererView?n.push(t):t instanceof r.GraphRendererView&&o.push(t);let l=!1;for(const e of o){const n=e.model.selection_policy.hit_test(t,e);l=l||e.model.selection_policy.do_selection(n,e.model,s,i)}if(n.length>0){const e=this.source.selection_policy.hit_test(t,n);l=l||this.source.selection_policy.do_selection(e,this.source,s,i)}return l}inspect(e,t){let s=!1;if(e instanceof c.GlyphRendererView){const i=e.hit_test(t);if(null!=i){s=!i.is_empty();const n=this.get_or_create_inspector(e.model);n.update(i,!0,\"replace\"),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof r.GraphRendererView){const i=e.model.inspection_policy.hit_test(t,e);s=s||e.model.inspection_policy.do_inspection(i,t,e,!1,\"replace\")}return s}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new o.Selection,this.inspectors.set(e,t)),t}}s.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(82),n=e(83),h=e(94),o=e(95),a=e(97),_=e(98),c=e(72),r=s.__importStar(e(18)),d=e(12),g=e(9),p=e(17),y=e(99),u=e(90),m={fill:{},line:{}},v={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},f={fill:{fill_alpha:.2},line:{}};class w extends l.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model.glyph,t=g.includes(e._mixins,\"fill\"),i=g.includes(e._mixins,\"line\"),s=p.clone(e.attributes);function l(l){const n=p.clone(s);return t&&p.extend(n,l.fill),i&&p.extend(n,l.line),new e.constructor(n)}delete s.id,this.glyph=await this.build_glyph_view(e);let{selection_glyph:n}=this.model;null==n?n=l({fill:{},line:{}}):\"auto\"===n&&(n=l(m)),this.selection_glyph=await this.build_glyph_view(n);let{nonselection_glyph:h}=this.model;null==h?h=l({fill:{},line:{}}):\"auto\"===h&&(h=l(f)),this.nonselection_glyph=await this.build_glyph_view(h);const{hover_glyph:o}=this.model;null!=o&&(this.hover_glyph=await this.build_glyph_view(o));const{muted_glyph:a}=this.model;null!=a&&(this.muted_glyph=await this.build_glyph_view(a));const _=l(v);this.decimated_glyph=await this.build_glyph_view(_),this.xscale=this.plot_view.frame.xscales[this.model.x_range_name],this.yscale=this.plot_view.frame.yscales[this.model.y_range_name],this.set_data(!1)}async build_glyph_view(e){return y.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.glyph.change,()=>this.set_data()),this.connect(this.model.data_source.change,()=>this.set_data()),this.connect(this.model.data_source.streaming,()=>this.set_data()),this.connect(this.model.data_source.patching,e=>this.set_data(!0,e)),this.connect(this.model.data_source.selected.change,()=>this.request_render()),this.connect(this.model.data_source._select,()=>this.request_render()),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,()=>this.request_render()),this.connect(this.model.properties.view.change,()=>this.set_data()),this.connect(this.model.view.change,()=>this.set_data()),this.connect(this.model.properties.visible.change,()=>this.plot_view.update_dataranges());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const i=e[t];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}for(const e in t){const i=t[e];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}this.connect(this.model.glyph.transformchange,()=>this.set_data())}have_selection_glyphs(){return null!=this.selection_glyph&&null!=this.nonselection_glyph}set_data(e=!0,t=null){const i=Date.now(),s=this.model.data_source;this.all_indices=this.model.view.indices,this.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.glyph.set_data(s,this.all_indices,t),this.glyph.set_visuals(s,this.all_indices),this.decimated_glyph.set_visuals(s,this.all_indices),this.have_selection_glyphs()&&(this.selection_glyph.set_visuals(s,this.all_indices),this.nonselection_glyph.set_visuals(s,this.all_indices)),null!=this.hover_glyph&&this.hover_glyph.set_visuals(s,this.all_indices),null!=this.muted_glyph&&this.muted_glyph.set_visuals(s,this.all_indices);const{lod_factor:l}=this.plot_model;this.decimated=[];for(let e=0,t=Math.floor(this.all_indices.length/l);e<t;e++)this.decimated.push(e*l);const n=Date.now()-i;c.logger.debug(`${this.glyph.model.type} ${this.model}): set_data finished in ${n}ms`),this.set_data_timestamp=Date.now(),e&&this.request_render()}get has_webgl(){return this.glyph.has_webgl}render(){if(!this.model.visible)return;const e=Date.now(),t=this.has_webgl;this.glyph.map_data();const i=Date.now()-e,s=Date.now();let l=this.glyph.mask_data(this.all_indices);l.length===this.all_indices.length&&(l=g.range(0,this.all_indices.length));const _=Date.now()-s,{ctx:r}=this.layer;r.save();const{selected:p}=this.model.data_source;let y;y=!p||p.is_empty()?[]:this.glyph instanceof n.LineView&&p.selected_glyph===this.glyph.model?this.model.view.convert_indices_from_subset(l):p.indices;const{inspected:u}=this.model.data_source,m=new Set((()=>!u||u.is_empty()?[]:u.selected_glyph?this.model.view.convert_indices_from_subset(l):u.indices.length>0?u.indices:Object.keys(u.multiline_indices).map(e=>parseInt(e)))()),v=d.filter(l,e=>m.has(this.all_indices[e])),{lod_threshold:f}=this.plot_model;let w,b,x;null!=this.model.document&&this.model.document.interactive_duration()>0&&!t&&null!=f&&this.all_indices.length>f?(l=this.decimated,w=this.decimated_glyph,b=this.decimated_glyph,x=this.selection_glyph):(w=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,b=this.nonselection_glyph,x=this.selection_glyph),null!=this.hover_glyph&&v.length&&(l=g.difference(l,v));let D,V=null;if(y.length&&this.have_selection_glyphs()){const e=Date.now(),t={};for(const e of y)t[e]=!0;const i=new Array,s=new Array;if(this.glyph instanceof n.LineView)for(const e of this.all_indices)null!=t[e]?i.push(e):s.push(e);else for(const e of l)null!=t[this.all_indices[e]]?i.push(e):s.push(e);V=Date.now()-e,D=Date.now(),b.render(r,s,this.glyph),x.render(r,i,this.glyph),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):this.hover_glyph.render(r,v,this.glyph))}else if(D=Date.now(),this.glyph instanceof n.LineView)this.hover_glyph&&v.length?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):w.render(r,this.all_indices,this.glyph);else if(this.glyph instanceof h.PatchView||this.glyph instanceof o.HAreaView||this.glyph instanceof a.VAreaView)if(0==u.selected_glyphs.length||null==this.hover_glyph)w.render(r,this.all_indices,this.glyph);else for(const e of u.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(r,this.all_indices,this.glyph);else w.render(r,l,this.glyph),this.hover_glyph&&v.length&&this.hover_glyph.render(r,v,this.glyph);const R=Date.now()-D;this.last_dtrender=R;const $=Date.now()-e;c.logger.debug(`${this.glyph.model.type} ${this.model}: render finished in ${$}ms`),c.logger.trace(` - map_data finished in       : ${i}ms`),c.logger.trace(` - mask_data finished in      : ${_}ms`),null!=V&&c.logger.trace(` - selection mask finished in : ${V}ms`),c.logger.trace(` - glyph renders finished in  : ${R}ms`),r.restore()}draw_legend(e,t,i,s,l,n,h,o){null==o&&(o=this.model.get_reference_point(n,h)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o)}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=w,w.__name__=\"GlyphRendererView\";class b extends l.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=w,this.define({data_source:[r.Instance],view:[r.Instance,()=>new _.CDSView],glyph:[r.Instance],hover_glyph:[r.Instance],nonselection_glyph:[r.Any,\"auto\"],selection_glyph:[r.Any,\"auto\"],muted_glyph:[r.Instance],muted:[r.Boolean,!1]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){let i=0;if(null!=e){const s=this.data_source.get_column(e);if(null!=s){const e=d.indexOf(s,t);-1!=e&&(i=e)}}return i}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=b,b.__name__=\"GlyphRenderer\",b.init_GlyphRenderer()},\n",
+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),a=e(65),_=t.__importStar(e(18));class i extends a.RendererView{}n.DataRendererView=i,i.__name__=\"DataRendererView\";class d extends a.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.define({x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"glyph\"})}}n.DataRenderer=d,d.__name__=\"DataRenderer\",d.init_DataRenderer()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),_=e(92),l=s.__importStar(e(23)),o=s.__importStar(e(93)),r=e(79);class h extends n.XYGlyphView{_render(e,t,{sx:i,sy:s}){let n=!1,_=null;this.visuals.line.set_value(e);for(const l of t){if(n){if(!isFinite(i[l]+s[l])){e.stroke(),e.beginPath(),n=!1,_=l;continue}null!=_&&l-_>1&&(e.stroke(),n=!1)}n?e.lineTo(i[l],s[l]):(e.beginPath(),e.moveTo(i[l],s[l]),n=!0),_=l}n&&e.stroke()}_hit_point(e){const t=new r.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.visuals.line.line_width.value()/2);for(let e=0,_=this.sx.length-1;e<_;e++){const _={x:this.sx[e],y:this.sy[e]},l={x:this.sx[e+1],y:this.sy[e+1]},r=o.dist_to_segment(i,_,l);r<n&&r<s&&(s=r,t.add_to_selected_glyphs(this.model),t.get_view=()=>this,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=new r.Selection;let n,_;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),_=this._y):(n=this.renderer.xscale.invert(t),_=this._x);for(let e=0,t=_.length-1;e<t;e++)(_[e]<=n&&n<=_[e+1]||_[e+1]<=n&&n<=_[e])&&(s.add_to_selected_glyphs(this.model),s.get_view=()=>this,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return _.line_interpolation(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){_.generic_line_legend(this.visuals,e,t,i)}}i.LineView=h,h.__name__=\"LineView\";class a extends n.XYGlyph{constructor(e){super(e)}static init_Line(){this.prototype.default_view=h,this.mixins(l.Line)}}i.Line=a,a.__name__=\"Line\",a.init_Line()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(85),n=e(89);class _ extends n.GlyphView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y[t];!isNaN(s+i)&&isFinite(s+i)&&e.push({x0:s,y0:i,x1:s,y1:i,i:t})}return new i.SpatialIndex(e)}scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}}s.XYGlyphView=_,_.__name__=\"XYGlyphView\";class h extends n.Glyph{constructor(e){super(e)}static init_XYGlyph(){this.coords([[\"x\",\"y\"]])}}s.XYGlyph=h,h.__name__=\"XYGlyph\",h.init_XYGlyph()},\n",
+       "      function _(n,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=n(1).__importDefault(n(86)),s=n(88);class r{constructor(n){if(this.points=n,this.index=null,n.length>0){this.index=new e.default(n.length);for(const t of n){const{x0:n,y0:i,x1:e,y1:s}=t;this.index.add(n,i,e,s)}this.index.finish()}}_normalize(n){let{x0:t,y0:i,x1:e,y1:s}=n;return t>e&&([t,e]=[e,t]),i>s&&([i,s]=[s,i]),{x0:t,y0:i,x1:e,y1:s}}get bbox(){if(null==this.index)return s.empty();{const{minX:n,minY:t,maxX:i,maxY:e}=this.index;return{x0:n,y0:t,x1:i,y1:e}}}search(n){if(null==this.index)return[];{const{x0:t,y0:i,x1:e,y1:s}=this._normalize(n);return this.index.search(t,i,e,s).map(n=>this.points[n])}}indices(n){return this.search(n).map(({i:n})=>n)}}i.SpatialIndex=r,r.__name__=\"SpatialIndex\"},\n",
+       "      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1).__importDefault(t(87)),h=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class n{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[o]=new Uint32Array(t,4,1);return new n(o,e,h[15&i],t)}constructor(t,s=16,i=Float64Array,n){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let o=t,r=o;this._levelBounds=[4*o];do{o=Math.ceil(o/this.nodeSize),r+=o,this._levelBounds.push(4*r)}while(1!==o);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=h.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);n&&n instanceof ArrayBuffer?(this.data=n,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new e.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,t<this.minX&&(this.minX=t),s<this.minY&&(this.minY=s),i>this.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e<this.numItems;e++){let h=4*e;const n=this._boxes[h++],o=this._boxes[h++],r=this._boxes[h++],a=this._boxes[h++],d=Math.floor(65535*((n+r)/2-this.minX)/t),x=Math.floor(65535*((o+a)/2-this.minY)/s);i[e]=_(d,x)}!function t(s,i,e,h,n,o){if(Math.floor(h/o)>=Math.floor(n/o))return;const r=s[h+n>>1];let _=h-1,d=n+1;for(;;){do{_++}while(s[_]<r);do{d--}while(s[d]>r);if(_>=d)break;a(s,i,e,_,d)}t(s,i,e,h,d,o),t(s,i,e,d+1,n,o)}(i,this._boxes,this._indices,0,this.numItems-1,this.nodeSize);for(let t=0,s=0;t<this._levelBounds.length-1;t++){const i=this._levelBounds[t];for(;s<i;){const t=s;let e=1/0,h=1/0,n=-1/0,o=-1/0;for(let t=0;t<this.nodeSize&&s<i;t++)e=Math.min(e,this._boxes[s++]),h=Math.min(h,this._boxes[s++]),n=Math.max(n,this._boxes[s++]),o=Math.max(o,this._boxes[s++]);this._indices[this._pos>>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],a=[];for(;void 0!==n;){const _=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let r=n;r<_;r+=4){const _=0|this._indices[r>>2];i<this._boxes[r]||(e<this._boxes[r+1]||t>this._boxes[r+2]||s>this._boxes[r+3]||(n<4*this.numItems?(void 0===h||h(_))&&a.push(_):o.push(_)))}n=o.pop()}return a}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const a=this._queue,_=[],d=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let i=n;i<e;i+=4){const e=0|this._indices[i>>2],r=o(t,this._boxes[i],this._boxes[i+2]),_=o(s,this._boxes[i+1],this._boxes[i+3]),d=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&a.push(-e-1,d):a.push(e,d)}for(;a.length&&a.peek()<0;){if(a.peekValue()>d)return a.clear(),_;if(_.push(-a.pop()-1),_.length===i)return a.clear(),_}n=a.pop()}return a.clear(),_}}function o(t,s,i){return t<s?s-t:t<=i?0:t-i}function r(t,s){let i=0,e=s.length-1;for(;i<e;){const h=i+e>>1;s[h]>t?e=h:i=h+1}return s[i]}function a(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],d=s[o+2],x=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=d,s[r+3]=x;const l=i[e];i[e]=i[h],i[h]=l}function _(t,s){let i=t^s,e=65535^i,h=65535^(t|s),n=t&(65535^s),o=i|e>>1,r=i>>1^i,a=h>>1^e&n>>1^h,_=i&h>>1^n>>1^n;i=o,e=r,h=a,n=_,o=i&i>>2^e&e>>2,r=i&e>>2^e&(i^e)>>2,a^=i&h>>2^e&n>>2,_^=e&h>>2^(i^e)&n>>2,i=o,e=r,h=a,n=_,o=i&i>>4^e&e>>4,r=i&e>>4^e&(i^e)>>4,a^=i&h>>4^e&n>>4,_^=e&h>>4^(i^e)&n>>4,i=o,e=r,h=a,n=_,a^=i&h>>8^e&n>>8,_^=e&h>>8^(i^e)&n>>8,i=a^a>>1,e=_^_>>1;let d=t^s,x=e|65535^(d|i);return d=16711935&(d|d<<8),d=252645135&(d|d<<4),d=858993459&(d|d<<2),d=1431655765&(d|d<<1),x=16711935&(x|x<<8),x=252645135&(x|x<<4),x=858993459&(x|x<<2),x=1431655765&(x|x<<1),(x<<1|d)>>>0}i.default=n},\n",
+       "      function _(s,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});i.default=class{constructor(){this.ids=[],this.values=[],this.length=0}clear(){this.length=0}push(s,t){let i=this.length++;for(this.ids[i]=s,this.values[i]=t;i>0;){const s=i-1>>1,h=this.values[s];if(t>=h)break;this.ids[i]=this.ids[s],this.values[i]=h,i=s}this.ids[i]=s,this.values[i]=t}pop(){if(0===this.length)return;const s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let h=0;for(;h<i;){let s=1+(h<<1);const i=s+1;let e=this.ids[s],l=this.values[s];const n=this.values[i];if(i<this.length&&n<l&&(s=i,e=this.ids[i],l=n),l>=t)break;this.ids[h]=e,this.values[h]=l,h=s}this.ids[h]=s,this.values[h]=t}return s}peek(){if(0!==this.length)return this.ids[0]}peekValue(){if(0!==this.length)return this.values[0]}}},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const{min:h,max:r}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:h(t.x0,i.x0),x1:r(t.x1,i.x1),y0:h(t.y0,i.y0),y1:r(t.y1,i.y1)}};class s{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get rect(){return{x0:this.x0,y0:this.y0,x1:this.x1,y1:this.y1}}get box(){return{x:this.x,y:this.y,width:this.width,height:this.height}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}contains(t,i){return t>=this.x0&&t<=this.x1&&i>=this.y0&&i<=this.y1}clip(t,i){return t<this.x0?t=this.x0:t>this.x1&&(t=this.x1),i<this.y0?i=this.y0:i>this.y1&&(i=this.y1),[t,i]}union(t){return new s({x0:h(this.x0,t.x0),y0:h(this.y0,t.y0),x1:r(this.x1,t.x1),y1:r(this.y1,t.y1)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new Float64Array(t.length),e=this.left;for(let h=0;h<t.length;h++)i[h]=e+t[h];return i}}}get yview(){return{compute:t=>this.bottom-t,v_compute:t=>{const i=new Float64Array(t.length),e=this.bottom;for(let h=0;h<t.length;h++)i[h]=e-t[h];return i}}}}e.BBox=s,s.__name__=\"BBox\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=i.__importStar(t(18)),r=i.__importStar(t(88)),a=i.__importStar(t(32)),_=i.__importStar(t(70)),l=t(67),o=t(71),h=t(72),c=t(12),d=t(17),p=t(8),y=t(83),u=t(90),g=t(79);class x extends l.View{constructor(){super(...arguments),this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}initialize(){super.initialize(),this.visuals=new _.Visuals(this.model)}async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e){let s=null;try{s=await Promise.resolve().then(()=>i.__importStar(t(371)))}catch(t){if(\"MODULE_NOT_FOUND\"!==t.code)throw t;h.logger.warn(\"WebGL was requested and is supported, but bokeh-gl(.min).js is not available, falling back to 2D rendering.\")}if(null!=s){const t=s[this.model.type+\"GLGlyph\"];null!=t&&(this.glglyph=new t(e.gl,this))}}}set_visuals(t,e){this.visuals.set_all_indices(e),this.visuals.warm_cache(t),null!=this.glglyph&&this.glglyph.set_visuals_changed()}render(t,e,s){t.beginPath(),null!=this.glglyph&&this.glglyph.render(t,e,s)||this._render(t,e,s)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(t){return t}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const t=r.empty(),e=this.index.search(r.positive_x());for(const s of e)s.x0<t.x0&&(t.x0=s.x0),s.x1>t.x1&&(t.x1=s.x1);const s=this.index.search(r.positive_y());for(const e of s)e.y0<t.y0&&(t.y0=e.y0),e.y1>t.y1&&(t.y1=e.y1);return this._bounds(t)}get_anchor_point(t,e,[s,i]){switch(t){case\"center\":return{x:this.scenterx(e,s,i),y:this.scentery(e,s,i)};default:return null}}sdist(t,e,s,i=\"edge\",n=!1){let r,a;const _=e.length;if(\"center\"==i){const t=c.map(s,t=>t/2);r=new Float64Array(_);for(let s=0;s<_;s++)r[s]=e[s]-t[s];a=new Float64Array(_);for(let s=0;s<_;s++)a[s]=e[s]+t[s]}else{r=e,a=new Float64Array(_);for(let t=0;t<_;t++)a[t]=r[t]+s[t]}const l=t.v_compute(r),o=t.v_compute(a);return n?c.map(l,(t,e)=>Math.ceil(Math.abs(o[e]-l[e]))):c.map(l,(t,e)=>Math.abs(o[e]-l[e]))}draw_legend_for_index(t,e,s){}hit_test(t){switch(t.type){case\"point\":if(null!=this._hit_point)return this._hit_point(t);break;case\"span\":if(null!=this._hit_span)return this._hit_span(t);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(t);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(t)}return this._nohit_warned.has(t.type)||(h.logger.debug(`'${t.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(t.type)),null}_hit_rect_against_index(t){const{sx0:e,sx1:s,sy0:i,sy1:n}=t,[r,a]=this.renderer.xscale.r_invert(e,s),[_,l]=this.renderer.yscale.r_invert(i,n),o=this.index.indices({x0:r,x1:a,y0:_,y1:l});return new g.Selection({indices:o})}set_data(t,e,s){let i=this.model.materialize_dataspecs(t);if(e&&!(this instanceof y.LineView)){const t={};for(const s in i){const n=i[s];\"_\"===s.charAt(0)?t[s]=e.map(t=>n[t]):t[s]=n}i=t}const n=this;if(d.extend(n,i),this.renderer.plot_view.model.use_map&&(null!=n._x&&([n._x,n._y]=a.project_xy(n._x,n._y)),null!=n._xs&&([n._xs,n._ys]=a.project_xsys(n._xs,n._ys)),null!=n._x0&&([n._x0,n._y0]=a.project_xy(n._x0,n._y0)),null!=n._x1&&([n._x1,n._y1]=a.project_xy(n._x1,n._y1))),null!=this.renderer.plot_view.frame.x_ranges){const t=this.renderer.plot_view.frame.x_ranges[this.model.x_range_name],e=this.renderer.plot_view.frame.y_ranges[this.model.y_range_name];for(let[s,i]of this.model._coords)s=\"_\"+s,i=\"_\"+i,null!=n._xs?(t instanceof u.FactorRange&&(n[s]=c.map(n[s],e=>t.v_synthetic(e))),e instanceof u.FactorRange&&(n[i]=c.map(n[i],t=>e.v_synthetic(t)))):(t instanceof u.FactorRange&&(n[s]=t.v_synthetic(n[s])),e instanceof u.FactorRange&&(n[i]=e.v_synthetic(n[i])))}null!=this.glglyph&&this.glglyph.set_data_changed(n._x.length),this._set_data(s),this.index_data()}_set_data(t){}index_data(){this.index=this._index_data()}mask_data(t){return null!=this.glglyph||null==this._mask_data?t:this._mask_data()}map_data(){const t=this;for(let[e,s]of this.model._coords){const i=\"s\"+e,n=\"s\"+s;if(e=\"_\"+e,s=\"_\"+s,null!=t[e]&&(p.isArray(t[e][0])||p.isTypedArray(t[e][0]))){const r=t[e].length;t[i]=new Array(r),t[n]=new Array(r);for(let a=0;a<r;a++){const[r,_]=this.map_to_screen(t[e][a],t[s][a]);t[i][a]=r,t[n][a]=_}}else[t[i],t[n]]=this.map_to_screen(t[e],t[s])}this._map_data()}_map_data(){}map_to_screen(t,e){return this.renderer.plot_view.map_to_screen(t,e,this.model.x_range_name,this.model.y_range_name)}}s.GlyphView=x,x.__name__=\"GlyphView\";class m extends o.Model{constructor(t){super(t)}static init_Glyph(){this.prototype._coords=[],this.internal({x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"]})}static coords(t){const e=this.prototype._coords.concat(t);this.prototype._coords=e;const s={};for(const[e,i]of t)s[e]=[n.CoordinateSpec],s[i]=[n.CoordinateSpec];this.define(s)}}s.Glyph=m,m.__name__=\"Glyph\",m.init_Glyph()},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=t(1),i=t(91),r=s.__importStar(t(18)),a=t(12),o=t(9),p=t(8),g=t(11);function c(t,e,n=0){const s=new Map;for(let i=0;i<t.length;i++){const r=t[i];if(s.has(r))throw new Error(\"duplicate factor or subfactor: \"+r);s.set(r,{value:.5+i*(1+e)+n})}return[s,(t.length-1)*e]}function l(t,e,n,s=0){var i;const r=new Map,a=new Map;for(const[e,n]of t){const t=null!==(i=a.get(e))&&void 0!==i?i:[];a.set(e,[...t,n])}let p=s,g=0;for(const[t,s]of a){const i=s.length,[a,l]=c(s,n,p);g+=l;const u=o.sum(s.map(t=>a.get(t).value));r.set(t,{value:u/i,mapping:a}),p+=i+e+l}return[r,(a.size-1)*e+g]}function u(t,e,n,s,i=0){var r;const a=new Map,p=new Map;for(const[e,n,s]of t){const t=null!==(r=p.get(e))&&void 0!==r?r:[];p.set(e,[...t,[n,s]])}let g=i,c=0;for(const[t,i]of p){const r=i.length,[p,u]=l(i,n,s,g);c+=u;const h=o.sum(i.map(([t])=>p.get(t).value));a.set(t,{value:h/r,mapping:p}),g+=r+e+u}return[a,(p.size-1)*e+c]}n.map_one_level=c,n.map_two_levels=l,n.map_three_levels=u;class h extends i.Range{constructor(t){super(t)}static init_FactorRange(){this.define({factors:[r.Array,[]],factor_padding:[r.Number,0],subgroup_padding:[r.Number,.8],group_padding:[r.Number,1.4],range_padding:[r.Number,0],range_padding_units:[r.PaddingUnits,\"percent\"],start:[r.Number],end:[r.Number]}),this.internal({levels:[r.Number],mids:[r.Array,null],tops:[r.Array,null]})}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,()=>this.reset()),this.connect(this.properties.factor_padding.change,()=>this.reset()),this.connect(this.properties.group_padding.change,()=>this.reset()),this.connect(this.properties.subgroup_padding.change,()=>this.reset()),this.connect(this.properties.range_padding.change,()=>this.reset()),this.connect(this.properties.range_padding_units.change,()=>this.reset())}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[e]=t,n=this._mapping.get(e);return null!=n?n.value:NaN}case 2:{const[e,n]=t,s=this._mapping.get(e);if(null!=s){const t=s.mapping.get(n);if(null!=t)return t.value}return NaN}case 3:{const[e,n,s]=t,i=this._mapping.get(e);if(null!=i){const t=i.mapping.get(n);if(null!=t){const e=t.mapping.get(s);if(null!=e)return e.value}}return NaN}default:g.unreachable()}}synthetic(t){if(p.isNumber(t))return t;if(p.isString(t))return this._lookup([t]);let e=0;const n=t[t.length-1];return p.isNumber(n)&&(e=n,t=t.slice(0,-1)),this._lookup(t)+e}v_synthetic(t){return a.map(t,t=>this.synthetic(t))}_init(t){const{levels:e,mapping:n,tops:s,mids:i,inside_padding:r}=(()=>{if(o.every(this.factors,p.isString)){const t=this.factors,[e,n]=c(t,this.factor_padding);return{levels:1,mapping:e,tops:null,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&2==t.length&&p.isString(t[0])&&p.isString(t[1]))){const t=this.factors,[e,n]=l(t,this.group_padding,this.factor_padding),s=[...e.keys()];return{levels:2,mapping:e,tops:s,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&3==t.length&&p.isString(t[0])&&p.isString(t[1])&&p.isString(t[2]))){const t=this.factors,[e,n]=u(t,this.group_padding,this.subgroup_padding,this.factor_padding),s=[...e.keys()],i=[];for(const[t,n]of e)for(const e of n.mapping.keys())i.push([t,e]);return{levels:3,mapping:e,tops:s,mids:i,inside_padding:n}}g.unreachable()})();this._mapping=n,this.tops=s,this.mids=i;let a=0,h=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(h-a)*this.range_padding/2;a-=t,h+=t}else a-=this.range_padding,h+=this.range_padding;this.setv({start:a,end:h,levels:e},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,h]},{silent:!0})}}n.FactorRange=h,h.__name__=\"FactorRange\",h.init_FactorRange()},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(71),r=i.__importStar(e(18));class s extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define({bounds:[r.Any],min_interval:[r.Any],max_interval:[r.Any]}),this.internal({plots:[r.Array,[]]})}get is_reversed(){return this.start>this.end}}n.Range=s,s.__name__=\"Range\",s.init_Range()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1).__importStar(e(93));i.generic_line_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){t.save(),t.beginPath(),t.moveTo(i,(c+o)/2),t.lineTo(n,(c+o)/2),e.line.doit&&(e.line.set_vectorize(t,r),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){const l=.1*Math.abs(n-i),a=.1*Math.abs(o-c),s=i+l,_=n-l,h=c+a,v=o-a;e.fill.doit&&(e.fill.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(s,h,_-s,v-h),e.line.set_vectorize(t,r),t.stroke())},i.line_interpolation=function(e,t,i,c,o,r){const{sx:l,sy:a}=t;let s,_,h,v;\"point\"==t.type?([h,v]=e.yscale.r_invert(a-1,a+1),[s,_]=e.xscale.r_invert(l-1,l+1)):\"v\"==t.direction?([h,v]=e.yscale.r_invert(a,a),[s,_]=[Math.min(i-1,o-1),Math.max(i+1,o+1)]):([s,_]=e.xscale.r_invert(l,l),[h,v]=[Math.min(c-1,r-1),Math.max(c+1,r+1)]);const{x,y}=n.check_2_segments_intersect(s,h,_,v,i,c,o,r);return[x,y]}},\n",
+       "      function _(t,n,e){function i(t){return t*t}function o(t,n){return i(t.x-n.x)+i(t.y-n.y)}function r(t,n,e){const i=o(n,e);if(0==i)return o(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;return o(t,r<0?n:r>1?e:{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}Object.defineProperty(e,\"__esModule\",{value:!0}),e.point_in_poly=function(t,n,e,i){let o=!1,r=e[e.length-1],s=i[i.length-1];for(let u=0;u<e.length;u++){const c=e[u],_=i[u];s<n!=_<n&&r+(n-s)/(_-s)*(c-r)<t&&(o=!o),r=c,s=_}return o},e.point_in_ellipse=function(t,n,e,i,o,r,s){return((Math.cos(e)/o)**2+(Math.sin(e)/i)**2)*(t-r)**2+2*Math.cos(e)*Math.sin(e)*((1/o)**2-(1/i)**2)*(t-r)*(n-s)+((Math.cos(e)/i)**2+(Math.sin(e)/o)**2)*(n-s)**2<=1},e.dist_2_pts=o,e.dist_to_segment_squared=r,e.dist_to_segment=function(t,n,e){return Math.sqrt(r(t,n,e))},e.check_2_segments_intersect=function(t,n,e,i,o,r,s,u){const c=(u-r)*(e-t)-(s-o)*(i-n);if(0==c)return{hit:!1,x:null,y:null};{let _=n-r,l=t-o;const y=(e-t)*_-(i-n)*l;return _=((s-o)*_-(u-r)*l)/c,l=y/c,{hit:_>0&&_<1&&l>0&&l<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),l=e(84),_=e(92),n=s.__importStar(e(93)),o=s.__importStar(e(23)),a=e(79);class h extends l.XYGlyphView{_inner_loop(e,i,t,s,l){for(const _ of i)0!=_?isNaN(t[_]+s[_])?(e.closePath(),l.apply(e),e.beginPath()):e.lineTo(t[_],s[_]):(e.beginPath(),e.moveTo(t[_],s[_]));e.closePath(),l.call(e)}_render(e,i,{sx:t,sy:s}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner_loop(e,i,t,s,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner_loop(e,i,t,s,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_value(e),this._inner_loop(e,i,t,s,e.stroke))}draw_legend_for_index(e,i,t){_.generic_area_legend(this.visuals,e,i,t)}_hit_point(e){const i=new a.Selection;return n.point_in_poly(e.sx,e.sy,this.sx,this.sy)&&(i.add_to_selected_glyphs(this.model),i.get_view=()=>this),i}}t.PatchView=h,h.__name__=\"PatchView\";class r extends l.XYGlyph{constructor(e){super(e)}static init_Patch(){this.prototype.default_view=h,this.mixins([o.Line,o.Fill,o.Hatch])}}t.Patch=r,r.__name__=\"Patch\",r.init_Patch()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x1.length;t<s;t++){const s=this._x1[t],i=this._x2[t],r=this._y[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:Math.min(s,i),y0:r,x1:Math.max(s,i),y1:r,i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let s=0,r=t.length;s<r;s++)e.lineTo(t[s],i[s]);for(let t=s.length-1;t>=0;t--)e.lineTo(s[t],i[t]);e.closePath(),r.call(e)}_render(e,t,{sx1:s,sx2:i,sy:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}_hit_point(e){const t=this.sy.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx1[e],i[e]=this.sy[e],s[t+e]=this.sx2[t-e-1],i[t+e]=this.sy[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}scenterx(e){return(this.sx1[e]+this.sx2[e])/2}scentery(e){return this.sy[e]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}s.HAreaView=l,l.__name__=\"HAreaView\";class o extends r.Area{constructor(e){super(e)}static init_HArea(){this.prototype.default_view=l,this.define({x1:[_.CoordinateSpec],x2:[_.CoordinateSpec],y:[_.CoordinateSpec]})}}s.HArea=o,o.__name__=\"HArea\",o.init_HArea()},\n",
+       "      function _(e,_,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(1),r=e(89),t=e(92),n=a.__importStar(e(23));class s extends r.GlyphView{draw_legend_for_index(e,_,i){t.generic_area_legend(this.visuals,e,_,i)}}i.AreaView=s,s.__name__=\"AreaView\";class c extends r.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([n.Fill,n.HatchVector])}}i.Area=c,c.__name__=\"Area\",c.init_Area()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y1[t],r=this._y2[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:s,y0:Math.min(i,r),x1:s,y1:Math.max(i,r),i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let i=0,r=s.length;i<r;i++)e.lineTo(t[i],s[i]);for(let s=i.length-1;s>=0;s--)e.lineTo(t[s],i[s]);e.closePath(),r.call(e)}_render(e,t,{sx:s,sy1:i,sy2:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}scenterx(e){return this.sx[e]}scentery(e){return(this.sy1[e]+this.sy2[e])/2}_hit_point(e){const t=this.sx.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx[e],i[e]=this.sy1[e],s[t+e]=this.sx[t-e-1],i[t+e]=this.sy2[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}s.VAreaView=l,l.__name__=\"VAreaView\";class o extends r.Area{constructor(e){super(e)}static init_VArea(){this.prototype.default_view=l,this.define({x:[_.CoordinateSpec],y1:[_.CoordinateSpec],y2:[_.CoordinateSpec]})}}s.VArea=o,o.__name__=\"VArea\",o.init_VArea()},\n",
+       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),c=t.__importStar(i(18)),o=i(79),r=i(9),_=i(77);class h extends n.Model{constructor(i){super(i)}static init_CDSView(){this.define({filters:[c.Array,[]],source:[c.Instance]}),this.internal({indices:[c.Array,[]],indices_map:[c.Any,{}]})}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,()=>{this.compute_indices(),this.change.emit()});const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,()=>{e||(i(),e=!0)})}compute_indices(){const i=this.filters.map(i=>i.compute_indices(this.source)).filter(i=>null!=i);i.length>0?this.indices=r.intersection.apply(this,i):this.source instanceof _.ColumnarDataSource&&(this.indices=this.source.get_indices()),this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;i<this.indices.length;i++)this.indices_map[this.indices[i]]=i}convert_selection_from_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_selection_to_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices_map[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_indices_from_subset(i){return i.map(i=>this.indices[i])}}s.CDSView=h,h.__name__=\"CDSView\",h.init_CDSView()},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(9);async function i(e,n,t){const o=new e(Object.assign(Object.assign({},t),{model:n}));return o.initialize(),await o.lazy_initialize(),o}t.build_view=async function(e,n={parent:null},t=(e=>e.default_view)){const o=await i(t(e),e,n);return o.connect_signals(),o},t.build_views=async function(e,n,t={parent:null},s=(e=>e.default_view)){const c=o.difference([...e.keys()],n);for(const n of c)e.get(n).remove(),e.delete(n);const a=[],f=n.filter(n=>!e.has(n));for(const n of f){const o=await i(s(n),n,t);e.set(n,o),a.push(o)}for(const e of a)e.connect_signals();return a},t.remove_views=function(e){for(const[n,t]of e)t.remove(),e.delete(n)}},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),r=e(82),i=e(101),a=s.__importStar(e(18)),d=e(99);class _ extends r.DataRendererView{initialize(){super.initialize(),this.xscale=this.plot_view.frame.xscales.default,this.yscale=this.plot_view.frame.yscales.default,this._renderer_views=new Map}async lazy_initialize(){[this.node_view,this.edge_view]=await d.build_views(this._renderer_views,[this.model.node_renderer,this.model.edge_renderer],{parent:this.parent}),this.set_data()}remove(){d.remove_views(this._renderer_views),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,()=>this.set_data()),this.connect(this.model.node_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.change,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.change,()=>this.set_data());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const n=e[t];this.connect(n.change,()=>this.set_data())}for(const e in t){const n=t[e];this.connect(n.change,()=>this.set_data())}}set_data(e=!0){this.node_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.edge_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0});const t=this.node_view.glyph;[t._x,t._y]=this.model.layout_provider.get_node_coordinates(this.model.node_renderer.data_source);const n=this.edge_view.glyph;[n._xs,n._ys]=this.model.layout_provider.get_edge_coordinates(this.model.edge_renderer.data_source),t.index_data(),n.index_data(),e&&this.request_render()}render(){this.edge_view.render(),this.node_view.render()}}n.GraphRendererView=_,_.__name__=\"GraphRendererView\";class o extends r.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=_,this.define({layout_provider:[a.Instance],node_renderer:[a.Instance],edge_renderer:[a.Instance],selection_policy:[a.Instance,()=>new i.NodesOnly],inspection_policy:[a.Instance,()=>new i.NodesOnly]})}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=o,o.__name__=\"GraphRenderer\",o.init_GraphRenderer()},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const d=e(71),s=e(12),o=e(9),_=e(79);class i extends d.Model{constructor(e){super(e)}_hit_test_nodes(e,t){if(!t.model.visible)return null;const n=t.node_view.glyph.hit_test(e);return null==n?null:t.node_view.model.view.convert_selection_from_subset(n)}_hit_test_edges(e,t){if(!t.model.visible)return null;const n=t.edge_view.glyph.hit_test(e);return null==n?null:t.edge_view.model.view.convert_selection_from_subset(n)}}n.GraphHitTestPolicy=i,i.__name__=\"GraphHitTestPolicy\";class r extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.model.get_selection_manager().get_or_create_inspector(n.node_view.model);return o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesOnly=r,r.__name__=\"NodesOnly\";class c extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}get_linked_edges(e,t,n){let d=[];\"selection\"==n?d=e.selected.indices.map(t=>e.data.index[t]):\"inspection\"==n&&(d=e.inspected.indices.map(t=>e.data.index[t]));const s=[];for(let e=0;e<t.data.start.length;e++)(o.contains(d,t.data.start[e])||o.contains(d,t.data.end[e]))&&s.push(e);const i=new _.Selection;for(const e of s)i.multiline_indices[e]=[0];return i.indices=s,i}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;s.update(e,n,d);const o=t.edge_renderer.data_source.selected,_=this.get_linked_edges(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model);o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model),i=this.get_linked_edges(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.edge_view.model.data_source.setv({inspected:_},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesAndLinkedEdges=c,c.__name__=\"NodesAndLinkedEdges\";class a extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_edges(e,t)}get_linked_nodes(e,t,n){let d=[];\"selection\"==n?d=t.selected.indices:\"inspection\"==n&&(d=t.inspected.indices);const i=[];for(const e of d)i.push(t.data.start[e]),i.push(t.data.end[e]);const r=o.uniq(i).map(t=>s.indexOf(e.data.index,t));return new _.Selection({indices:r})}do_selection(e,t,n,d){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,n,d);const o=t.node_renderer.data_source.selected,_=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model);o.update(e,d,s),n.edge_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model),i=this.get_linked_nodes(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.node_view.model.data_source.setv({inspected:_},{silent:!0}),n.edge_view.model.data_source.inspect.emit([n.edge_view,{geometry:t}]),!o.is_empty()}}n.EdgesAndLinkedNodes=a,a.__name__=\"EdgesAndLinkedNodes\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(71);class o extends s.Model{do_selection(e,t,n,s){return null!==e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=o,o.__name__=\"SelectionPolicy\";class r extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=r,r.__name__=\"IntersectRenderers\";class c extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=c,c.__name__=\"UnionRenderers\"},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.concat=function(t,...e){let n=t.length;for(const t of e)n+=t.length;const o=new t.constructor(n);o.set(t,0);let c=t.length;for(const t of e)o.set(t,c),c+=t.length;return o}},\n",
+       "      function _(n,o,e){function t(...n){const o=new Set;for(const e of n)for(const n of e)o.add(n);return o}Object.defineProperty(e,\"__esModule\",{value:!0}),e.union=t,e.intersection=function(n,...o){const e=new Set;n:for(const t of n){for(const n of o)if(!n.has(t))continue n;e.add(t)}return e},e.difference=function(n,...o){const e=new Set(n);for(const n of t(...o))e.delete(n);return e}},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(13);class o{constructor(e){this.document=e}}s.DocumentEvent=o,o.__name__=\"DocumentEvent\";class r extends o{constructor(e,t,s){super(e),this.events=t,this.setter_id=s}}s.DocumentEventBatch=r,r.__name__=\"DocumentEventBatch\";class d extends o{}s.DocumentChangedEvent=d,d.__name__=\"DocumentChangedEvent\";class _ extends d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}json(e){const t=this.msg_data,s=n.HasProps._value_to_json(t),o=new Set;return n.HasProps._value_record_references(t,o,{recursive:!0}),{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=_,_.__name__=\"MessageSentEvent\";class i extends d{constructor(e,t,s,n,o,r,d){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=r,this.hint=d}json(e){if(\"id\"===this.attr)throw new Error(\"'id' field should never change, whatever code just set it is wrong\");if(null!=this.hint)return this.hint.json(e);const t=this.new_,s=n.HasProps._value_to_json(t),o=new Set;n.HasProps._value_record_references(t,o,{recursive:!0}),o.has(this.model)&&this.model!==t&&o.delete(this.model);for(const t of o)e.add(t);return{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=i,i.__name__=\"ModelChangedEvent\";class a extends d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}json(e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=a,a.__name__=\"ColumnsPatchedEvent\";class c extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}json(e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=c,c.__name__=\"ColumnsStreamedEvent\";class h extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}json(e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=h,h.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return n.HasProps._value_record_references(this.model,e,{recursive:!0}),{kind:\"RootAdded\",model:this.model.ref()}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class l extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=l,l.__name__=\"RootRemovedEvent\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(31),o=e(76),l=i.__importStar(e(23)),a=i.__importStar(e(18));class n extends _.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],_=\"height\"==t?i:s,o=\"height\"==t?s:i,l=\"height\"==t?e.yview:e.xview,a=\"height\"==t?e.xview:e.yview;let n,h,r;n=\"data\"==this.model.properties.lower.units?_.v_compute(this._lower):l.v_compute(this._lower),h=\"data\"==this.model.properties.upper.units?_.v_compute(this._upper):l.v_compute(this._upper),r=\"data\"==this.model.properties.base.units?o.v_compute(this._base):a.v_compute(this._base);const[c,p]=\"height\"==t?[1,0]:[0,1],u=[n,r],d=[h,r];this._lower_sx=u[c],this._lower_sy=u[p],this._upper_sx=d[c],this._upper_sy=d[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);for(let t=this._upper_sx.length-1;t>=0;t--)e.lineTo(this._upper_sx[t],this._upper_sy[t]);e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(e),e.fill()),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke()),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let t=0,s=this._upper_sx.length;t<s;t++)e.lineTo(this._upper_sx[t],this._upper_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke())}}s.BandView=n,n.__name__=\"BandView\";class h extends _.Annotation{constructor(e){super(e)}static init_Band(){this.prototype.default_view=n,this.mixins([l.Line,l.Fill]),this.define({lower:[a.DistanceSpec],upper:[a.DistanceSpec],base:[a.DistanceSpec],dimension:[a.Dimension,\"height\"],source:[a.Instance,()=>new o.ColumnDataSource],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}}s.Band=h,h.__name__=\"Band\",h.init_Band()},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),n=t(31),o=t(14),l=s.__importStar(t(23)),a=s.__importStar(t(18)),r=t(88);e.EDGE_TOLERANCE=2.5;class h extends n.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this)),this.connect(this.model.data_update,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;if(null==this.model.left&&null==this.model.right&&null==this.model.top&&null==this.model.bottom)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],e=t.yscales[this.model.y_range_name],s=(t,i,e,s,n)=>{let o;return o=null!=t?this.model.screen?t:\"data\"==i?e.compute(t):s.compute(t):n,o};this.sleft=s(this.model.left,this.model.left_units,i,t.xview,t._left.value),this.sright=s(this.model.right,this.model.right_units,i,t.xview,t._right.value),this.stop=s(this.model.top,this.model.top_units,e,t.yview,t._top.value),this.sbottom=s(this.model.bottom,this.model.bottom_units,e,t.yview,t._bottom.value),this._paint_box(this.sleft,this.sright,this.sbottom,this.stop)}_paint_box(t,i,e,s){const{ctx:n}=this.layer;n.save(),n.beginPath(),n.rect(t,s,i-t,e-s),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill()),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),n.restore()}interactive_bbox(){const t=this.model.properties.line_width.value()+e.EDGE_TOLERANCE;return new r.BBox({x0:this.sleft-t,y0:this.stop-t,x1:this.sright+t,y1:this.sbottom+t})}interactive_hit(t,i){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,i)}cursor(t,i){return Math.abs(t-this.sleft)<3||Math.abs(t-this.sright)<3?this.model.ew_cursor:Math.abs(i-this.sbottom)<3||Math.abs(i-this.stop)<3?this.model.ns_cursor:t>this.sleft&&t<this.sright&&i>this.stop&&i<this.sbottom?this.model.in_cursor:null}}e.BoxAnnotationView=h,h.__name__=\"BoxAnnotationView\";class _ extends n.Annotation{constructor(t){super(t)}static init_BoxAnnotation(){this.prototype.default_view=h,this.mixins([l.Line,l.Fill]),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],top:[a.Number,null],top_units:[a.SpatialUnits,\"data\"],bottom:[a.Number,null],bottom_units:[a.SpatialUnits,\"data\"],left:[a.Number,null],left_units:[a.SpatialUnits,\"data\"],right:[a.Number,null],right_units:[a.SpatialUnits,\"data\"]}),this.internal({screen:[a.Boolean,!1],ew_cursor:[a.String,null],ns_cursor:[a.String,null],in_cursor:[a.String,null]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({left:t,right:i,top:e,bottom:s}){this.setv({left:t,right:i,top:e,bottom:s,screen:!0},{silent:!0}),this.data_update.emit()}}e.BoxAnnotation=_,_.__name__=\"BoxAnnotation\",_.init_BoxAnnotation()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),a=t(31),s=t(109),r=t(113),l=t(115),n=t(120),_=t(130),h=t(131),m=o.__importStar(t(23)),d=o.__importStar(t(18)),c=o.__importStar(t(132)),u=t(9),p=t(12),g=t(8),f=t(11);class b extends a.AnnotationView{initialize(){super.initialize(),this._set_canvas_image()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.visible.change,()=>this.plot_view.request_render()),this.connect(this.model.ticker.change,()=>this.plot_view.request_render()),this.connect(this.model.formatter.change,()=>this.plot_view.request_render()),null!=this.model.color_mapper&&this.connect(this.model.color_mapper.change,()=>{this._set_canvas_image(),this.plot_view.request_render()})}_get_size(){if(null==this.model.color_mapper)return{width:0,height:0};{const{width:t,height:e}=this.compute_legend_dimensions();return{width:t,height:e}}}_set_canvas_image(){if(null==this.model.color_mapper)return;let t,e,{palette:i}=this.model.color_mapper;switch(\"vertical\"==this.model.orientation&&(i=u.reversed(i)),this.model.orientation){case\"vertical\":[t,e]=[1,i.length];break;case\"horizontal\":[t,e]=[i.length,1]}const o=document.createElement(\"canvas\");o.width=t,o.height=e;const a=o.getContext(\"2d\"),s=a.getImageData(0,0,t,e),r=new l.LinearColorMapper({palette:i}).rgba_mapper.v_compute(u.range(0,i.length));s.data.set(r),a.putImageData(s,0,0),this.image=o}compute_legend_dimensions(){const t=this._computed_image_dimensions(),[e,i]=[t.height,t.width],o=this._get_label_extent(),a=this._title_extent(),s=this._tick_extent(),{padding:r}=this.model;let l,n;switch(this.model.orientation){case\"vertical\":l=e+a+2*r,n=i+s+o+2*r;break;case\"horizontal\":l=e+a+s+o+2*r,n=i+2*r}return{width:n,height:l}}compute_legend_location(){const t=this.compute_legend_dimensions(),[e,i]=[t.height,t.width],o=this.model.margin,a=null!=this.panel?this.panel:this.plot_view.frame,[s,r]=a.bbox.ranges,{location:l}=this.model;let n,_;if(g.isString(l))switch(l){case\"top_left\":n=s.start+o,_=r.start+o;break;case\"top_center\":n=(s.end+s.start)/2-i/2,_=r.start+o;break;case\"top_right\":n=s.end-o-i,_=r.start+o;break;case\"bottom_right\":n=s.end-o-i,_=r.end-o-e;break;case\"bottom_center\":n=(s.end+s.start)/2-i/2,_=r.end-o-e;break;case\"bottom_left\":n=s.start+o,_=r.end-o-e;break;case\"center_left\":n=s.start+o,_=(r.end+r.start)/2-e/2;break;case\"center\":n=(s.end+s.start)/2-i/2,_=(r.end+r.start)/2-e/2;break;case\"center_right\":n=s.end-o-i,_=(r.end+r.start)/2-e/2}else if(g.isArray(l)&&2==l.length){const[t,i]=l;n=a.xview.compute(t),_=a.yview.compute(i)-e}else f.unreachable();return{sx:n,sy:_}}render(){if(!this.model.visible||null==this.model.color_mapper)return;const{ctx:t}=this.layer;t.save();const{sx:e,sy:i}=this.compute_legend_location();t.translate(e,i),this._draw_bbox(t);const o=this._get_image_offset();if(t.translate(o.x,o.y),this._draw_image(t),null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high){const e=this.tick_info();this._draw_major_ticks(t,e),this._draw_minor_ticks(t,e),this._draw_major_labels(t,e)}this.model.title&&this._draw_title(t),t.restore()}_draw_bbox(t){const e=this.compute_legend_dimensions();t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(0,0,e.width,e.height)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_image(t){const e=this._computed_image_dimensions();t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this.image,0,0,e.width,e.height),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_major_ticks(t,e){if(!this.visuals.major_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.major,_=this.model.major_tick_in,h=this.model.major_tick_out;t.save(),t.translate(s,r),this.visuals.major_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_minor_ticks(t,e){if(!this.visuals.minor_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.minor,_=this.model.minor_tick_in,h=this.model.minor_tick_out;t.save(),t.translate(s,r),this.visuals.minor_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_major_labels(t,e){if(!this.visuals.major_label_text.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],l=this.model.label_standoff+this._tick_extent(),[n,_]=[l*i,l*o],[h,m]=e.coords.major,d=e.labels.major;this.visuals.major_label_text.set_value(t),t.save(),t.translate(s+n,r+_);for(let e=0,a=h.length;e<a;e++)t.fillText(d[e],Math.round(h[e]+i*this.model.label_standoff),Math.round(m[e]+o*this.model.label_standoff));t.restore()}_draw_title(t){this.visuals.title_text.doit&&(t.save(),this.visuals.title_text.set_value(t),t.fillText(this.model.title,0,-this.model.title_standoff),t.restore())}_get_label_extent(){const t=this.tick_info().labels.major;let e;if(null==this.model.color_mapper.low||null==this.model.color_mapper.high||u.is_empty(t))e=0;else{const{ctx:i}=this.layer;switch(i.save(),this.visuals.major_label_text.set_value(i),this.model.orientation){case\"vertical\":e=u.max(t.map(t=>i.measureText(t.toString()).width));break;case\"horizontal\":e=c.measure_font(this.visuals.major_label_text.font_value()).height}e+=this.model.label_standoff,i.restore()}return e}_get_image_offset(){return{x:this.model.padding,y:this.model.padding+this._title_extent()}}_normals(){return\"vertical\"==this.model.orientation?[1,0]:[0,1]}_title_extent(){const t=this.model.title_text_font+\" \"+this.model.title_text_font_size+\" \"+this.model.title_text_font_style;return this.model.title?c.measure_font(t).height+this.model.title_standoff:0}_tick_extent(){return null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high?u.max([this.model.major_tick_out,this.model.minor_tick_out]):0}_computed_image_dimensions(){const t=this.plot_view.frame._height.value,e=this.plot_view.frame._width.value,i=this._title_extent();let o,a;switch(this.model.orientation){case\"vertical\":\"auto\"==this.model.height?null!=this.panel?o=t-2*this.model.padding-i:(o=u.max([25*this.model.color_mapper.palette.length,.3*t]),o=u.min([o,.8*t-2*this.model.padding-i])):o=this.model.height,a=\"auto\"==this.model.width?25:this.model.width;break;case\"horizontal\":o=\"auto\"==this.model.height?25:this.model.height,\"auto\"==this.model.width?null!=this.panel?a=e-2*this.model.padding:(a=u.max([25*this.model.color_mapper.palette.length,.3*e]),a=u.min([a,.8*e-2*this.model.padding])):a=this.model.width}return{width:a,height:o}}_tick_coordinate_scale(t){const e={source_range:new h.Range1d({start:this.model.color_mapper.low,end:this.model.color_mapper.high}),target_range:new h.Range1d({start:0,end:t})};switch(this.model.color_mapper.type){case\"LinearColorMapper\":return new n.LinearScale(e);case\"LogColorMapper\":return new _.LogScale(e);default:f.unreachable()}}_format_major_labels(t,e){const i=this.model.formatter.doFormat(t,null);for(let t=0,o=e.length;t<o;t++)e[t]in this.model.major_label_overrides&&(i[t]=this.model.major_label_overrides[e[t]]);return i}tick_info(){const t=this._computed_image_dimensions();let e;switch(this.model.orientation){case\"vertical\":e=t.height;break;case\"horizontal\":e=t.width}const i=this._tick_coordinate_scale(e),[o,a]=this._normals(),[s,r]=[this.model.color_mapper.low,this.model.color_mapper.high],l=this.model.ticker.get_ticks(s,r,null,null,this.model.ticker.desired_num_ticks),n=l.major,_=l.minor,h=[[],[]],m=[[],[]];for(let t=0,e=n.length;t<e;t++)n[t]<s||n[t]>r||(h[o].push(n[t]),h[a].push(0));for(let t=0,e=_.length;t<e;t++)_[t]<s||_[t]>r||(m[o].push(_[t]),m[a].push(0));const d={major:this._format_major_labels(h[o],n)},c={major:[[],[]],minor:[[],[]]};return c.major[o]=i.v_compute(h[o]),c.minor[o]=i.v_compute(m[o]),c.major[a]=h[a],c.minor[a]=m[a],\"vertical\"==this.model.orientation&&(c.major[o]=p.map(c.major[o],t=>e-t),c.minor[o]=p.map(c.minor[o],t=>e-t)),{coords:c,labels:d}}}i.ColorBarView=b,b.__name__=\"ColorBarView\";class v extends a.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=b,this.mixins([[\"major_label_\",m.Text],[\"title_\",m.Text],[\"major_tick_\",m.Line],[\"minor_tick_\",m.Line],[\"border_\",m.Line],[\"bar_\",m.Line],[\"background_\",m.Fill]]),this.define({location:[d.Any,\"top_right\"],orientation:[d.Orientation,\"vertical\"],title:[d.String],title_standoff:[d.Number,2],width:[d.Any,\"auto\"],height:[d.Any,\"auto\"],scale_alpha:[d.Number,1],ticker:[d.Instance,()=>new s.BasicTicker],formatter:[d.Instance,()=>new r.BasicTickFormatter],major_label_overrides:[d.Any,{}],color_mapper:[d.Instance],label_standoff:[d.Number,5],margin:[d.Number,30],padding:[d.Number,10],major_tick_in:[d.Number,5],major_tick_out:[d.Number,0],minor_tick_in:[d.Number,0],minor_tick_out:[d.Number,0]}),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_align:\"center\",major_label_text_baseline:\"middle\",major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}}i.ColorBar=v,v.__name__=\"ColorBar\",v.init_ColorBar()},\n",
+       "      function _(e,c,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(110);class r extends i.AdaptiveTicker{constructor(e){super(e)}}s.BasicTicker=r,r.__name__=\"BasicTicker\"},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(111),n=t(9),r=a.__importStar(t(18));class _ extends s.ContinuousTicker{constructor(t){super(t)}static init_AdaptiveTicker(){this.define({base:[r.Number,10],mantissas:[r.Array,[1,2,5]],min_interval:[r.Number,0],max_interval:[r.Number]})}initialize(){super.initialize();const t=n.nth(this.mantissas,-1)/this.base,i=n.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,e){const a=i-t,s=this.get_ideal_interval(t,i,e),r=Math.floor(function(t,i=Math.E){return Math.log(t)/Math.log(i)}(s/this.base_factor,this.base)),_=this.base**r*this.base_factor,h=this.extended_mantissas,m=h.map(t=>Math.abs(e-a/(t*_))),o=h[n.argmin(m)];return c=o*_,l=this.get_min_interval(),u=this.get_max_interval(),Math.max(l,Math.min(u,c));var c,l,u}}e.AdaptiveTicker=_,_.__name__=\"AdaptiveTicker\",_.init_AdaptiveTicker()},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),r=t(112),s=n.__importStar(t(18)),o=t(9);class _ extends r.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define({num_minor_ticks:[s.Number,5],desired_num_ticks:[s.Number,6]})}get_ticks(t,i,e,n,r){return this.get_ticks_no_defaults(t,i,n,this.desired_num_ticks)}get_ticks_no_defaults(t,i,e,n){const r=this.get_interval(t,i,n),s=Math.floor(t/r),_=Math.ceil(i/r);let c;c=isNaN(s)||isNaN(_)?[]:o.range(s,_+1);const u=c.map(t=>t*r).filter(e=>t<=e&&e<=i),a=this.num_minor_ticks,l=[];if(a>0&&u.length>0){const e=r/a,n=o.range(0,a).map(t=>t*e);for(const e of n.slice(1)){const n=u[0]-e;t<=n&&n<=i&&l.push(n)}for(const e of u)for(const r of n){const n=e+r;t<=n&&n<=i&&l.push(n)}}return{major:u,minor:l}}get_min_interval(){return this.min_interval}get_max_interval(){return null!=this.max_interval?this.max_interval:1/0}get_ideal_interval(t,i,e){return(i-t)/e}}e.ContinuousTicker=_,_.__name__=\"ContinuousTicker\",_.init_ContinuousTicker()},\n",
+       "      function _(e,c,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(71);class r extends o.Model{constructor(e){super(e)}}n.Ticker=r,r.__name__=\"Ticker\"},\n",
+       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),s=i(114),n=r.__importStar(i(18));class o extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define({precision:[n.Any,\"auto\"],use_scientific:[n.Boolean,!0],power_limit_high:[n.Number,5],power_limit_low:[n.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,r=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const s of i){const i=Math.abs(s);if(!(i<=r)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){const r=new Array(i.length);if(t)for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toExponential(e);else for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toFixed(e).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");return r}_auto_precision(i,t){const e=new Array(i.length),r=this.last_precision<=15;i:for(let s=this.last_precision;r?s<=15:s>=1;r?s++:s--){if(t){e[0]=i[0].toExponential(s);for(let t=1;t<i.length;t++)if(e[t]==e[t-1])continue i;this.last_precision=s;break}e[0]=i[0].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");for(let t=1;t<i.length;t++)if(e[t]=i[t].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"),e[t]==e[t-1])continue i;this.last_precision=s;break}return this.last_precision}doFormat(i,t){if(0==i.length)return[];const e=this._need_sci(i),r=\"auto\"==this.precision?this._auto_precision(i,e):this.precision;return this._format_with_precision(i,e,r)}}e.BasicTickFormatter=o,o.__name__=\"BasicTickFormatter\",o.init_BasicTickFormatter()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class c extends r.Model{constructor(e){super(e)}}o.TickFormatter=c,c.__name__=\"TickFormatter\"},\n",
+       "      function _(o,n,l){Object.defineProperty(l,\"__esModule\",{value:!0});const e=o(116),t=o(12);class i extends e.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,n,l,e){const{nan_color:i,low_color:r,high_color:s}=e,c=null!=this.low?this.low:t.min(o),h=null!=this.high?this.high:t.max(o),u=l.length-1,a=1/(h-c),_=1/l.length;for(let e=0,t=o.length;e<t;e++){const t=o[e];if(isNaN(t)){n[e]=i;continue}if(t==h){n[e]=l[u];continue}const p=(t-c)*a,f=Math.floor(p/_);n[e]=f<0?null!=r?r:l[0]:f>u?null!=s?s:l[u]:l[f]}}}l.LinearColorMapper=i,i.__name__=\"LinearColorMapper\"},\n",
+       "      function _(o,r,l){Object.defineProperty(l,\"__esModule\",{value:!0});const i=o(1),t=o(117),e=i.__importStar(o(18));class s extends t.ColorMapper{constructor(o){super(o)}static init_ContinuousColorMapper(){this.define({high:[e.Number],low:[e.Number],high_color:[e.Color],low_color:[e.Color]})}_colors(o){return Object.assign(Object.assign({},super._colors(o)),{low_color:null!=this.low_color?o(this.low_color):void 0,high_color:null!=this.high_color?o(this.high_color):void 0})}}l.ContinuousColorMapper=s,s.__name__=\"ContinuousColorMapper\",s.init_ContinuousColorMapper()},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(118),_=n.__importStar(t(18)),i=t(8),l=t(20),c=t(28);function a(t){return i.isNumber(t)?t:(\"#\"!=t[0]&&(t=l.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function s(t){const e=new Uint32Array(t.length);for(let r=0,n=t.length;r<n;r++)e[r]=a(t[r]);return e}function p(t){if(c.is_little_endian){const e=new DataView(t.buffer);for(let r=0,n=t.length;r<n;r++)e.setUint32(4*r,t[r])}return new Uint8Array(t.buffer)}r._convert_color=a,r._convert_palette=s,r._uint32_to_rgba=p;class u extends o.Mapper{constructor(t){super(t)}static init_ColorMapper(){this.define({palette:[_.Any],nan_color:[_.Color,\"gray\"]})}v_compute(t){const e=new Array(t.length);return this._v_compute(t,e,this.palette,this._colors(t=>t)),e}get rgba_mapper(){const t=this,e=s(this.palette),r=this._colors(a);return{v_compute(n){const o=new Uint32Array(n.length);return t._v_compute(n,o,e,r),p(o)}}}_colors(t){return{nan_color:t(this.nan_color)}}}r.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n",
+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(119);class s extends o.Transform{constructor(e){super(e)}compute(e){throw new Error(\"mapping single values is not supported\")}}n.Mapper=s,s.__name__=\"Mapper\"},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class s extends r.Model{constructor(e){super(e)}}o.Transform=s,s.__name__=\"Transform\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(121);class _ extends r.ContinuousScale{constructor(e){super(e)}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const c=e(122);class s extends c.Scale{constructor(e){super(e)}}o.ContinuousScale=s,s.__name__=\"ContinuousScale\"},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),_=t(123),s=n.__importStar(t(18));class i extends _.Transform{constructor(t){super(t)}static init_Scale(){this.internal({source_range:[s.Any],target_range:[s.Any]})}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=e*t[_]+r;return n}_linear_invert(t){const[e,r]=this._linear_compute_state();return(t-r)/e}_linear_v_invert(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=(t[_]-r)/e;return n}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,r=this.target_range.start,n=(this.target_range.end-r)/(e-t);return[n,-n*t+r]}}r.Scale=i,i.__name__=\"Scale\",i.init_Scale()},\n",
+       "      function _(r,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=r(124);t.CustomJSTransform=e.CustomJSTransform;var a=r(125);t.Dodge=a.Dodge;var n=r(126);t.Interpolator=n.Interpolator;var p=r(127);t.Jitter=p.Jitter;var l=r(128);t.LinearInterpolator=l.LinearInterpolator;var v=r(129);t.StepInterpolator=v.StepInterpolator;var s=r(119);t.Transform=s.Transform},\n",
+       "      function _(t,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),e=t(119),a=n.__importStar(t(18)),o=t(17),u=t(24);class i extends e.Transform{constructor(t){super(t)}static init_CustomJSTransform(){this.define({args:[a.Any,{}],func:[a.String,\"\"],v_func:[a.String,\"\"]})}get names(){return o.keys(this.args)}get values(){return o.values(this.args)}_make_transform(t,r){return new Function(...this.names,t,u.use_strict(r))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(t){return this.scalar_transform(...this.values,t)}v_compute(t){return this.vector_transform(...this.values,t)}}s.CustomJSTransform=i,i.__name__=\"CustomJSTransform\",i.init_CustomJSTransform()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(1),o=e(119),i=e(90),s=n.__importStar(e(18)),a=e(8);class c extends o.Transform{constructor(e){super(e)}static init_Dodge(){this.define({value:[s.Number,0],range:[s.Instance]})}v_compute(e){let t;if(this.range instanceof i.FactorRange)t=this.range.v_synthetic(e);else{if(!a.isArrayableOf(e,a.isNumber))throw new Error(\"unexpected\");t=e}const r=new Float64Array(t.length);for(let e=0;e<t.length;e++){const n=t[e];r[e]=this._compute(n)}return r}compute(e){if(this.range instanceof i.FactorRange)return this._compute(this.range.synthetic(e));if(a.isNumber(e))return this._compute(e);throw new Error(\"unexpected\")}_compute(e){return e+this.value}}r.Dodge=c,c.__name__=\"Dodge\",c.init_Dodge()},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(119),n=s.__importStar(t(18)),i=t(9),a=t(8);class h extends o.Transform{constructor(t){super(t),this._sorted_dirty=!0}static init_Interpolator(){this.define({x:[n.Any],y:[n.Any],data:[n.Any],clip:[n.Boolean,!0]})}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._sorted_dirty=!0)}v_compute(t){const e=new Float64Array(t.length);for(let r=0;r<t.length;r++){const s=t[r];e[r]=this.compute(s)}return e}sort(t=!1){if(!this._sorted_dirty)return;let e,r;if(a.isString(this.x)&&a.isString(this.y)&&null!=this.data){const t=this.data.columns();if(!i.includes(t,this.x))throw new Error(\"The x parameter does not correspond to a valid column name defined in the data parameter\");if(!i.includes(t,this.y))throw new Error(\"The y parameter does not correspond to a valid column name defined in the data parameter\");e=this.data.get_column(this.x),r=this.data.get_column(this.y)}else{if(!a.isArray(this.x)||!a.isArray(this.y))throw new Error(\"parameters 'x' and 'y' must be both either string fields or arrays\");e=this.x,r=this.y}if(e.length!==r.length)throw new Error(\"The length for x and y do not match\");if(e.length<2)throw new Error(\"x and y must have at least two elements to support interpolation\");const s=[];for(const t in e)s.push({x:e[t],y:r[t]});t?s.sort((t,e)=>t.x>e.x?-1:t.x==e.x?0:1):s.sort((t,e)=>t.x<e.x?-1:t.x==e.x?0:1),this._x_sorted=[],this._y_sorted=[];for(const{x:t,y:e}of s)this._x_sorted.push(t),this._y_sorted.push(e);this._sorted_dirty=!1}}r.Interpolator=h,h.__name__=\"Interpolator\",h.init_Interpolator()},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),n=t(119),s=t(90),o=t(8),u=i.__importStar(t(18)),a=i.__importStar(t(10));class h extends n.Transform{constructor(t){super(t)}static init_Jitter(){this.define({mean:[u.Number,0],width:[u.Number,1],distribution:[u.Distribution,\"uniform\"],range:[u.Instance]}),this.internal({previous_values:[u.Array]})}v_compute(t){if(null!=this.previous_values&&this.previous_values.length==t.length)return this.previous_values;let e;if(this.range instanceof s.FactorRange)e=this.range.v_synthetic(t);else{if(!o.isArrayableOf(t,o.isNumber))throw new Error(\"unexpected\");e=t}const r=new Float64Array(e.length);for(let t=0;t<e.length;t++){const i=e[t];r[t]=this._compute(i)}return this.previous_values=r,r}compute(t){if(this.range instanceof s.FactorRange)return this._compute(this.range.synthetic(t));if(o.isNumber(t))return this._compute(t);throw new Error(\"unexpected\")}_compute(t){switch(this.distribution){case\"uniform\":return t+this.mean+(a.random()-.5)*this.width;case\"normal\":return t+a.rnorm(this.mean,this.width)}}}r.Jitter=h,h.__name__=\"Jitter\",h.init_Jitter()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const _=t(9),r=t(126);class o extends r.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=_.find_last_index(this._x_sorted,s=>s<t),e=this._x_sorted[s],r=this._x_sorted[s+1],o=this._y_sorted[s],i=this._y_sorted[s+1];return o+(t-e)/(r-e)*(i-o)}}e.LinearInterpolator=o,o.__name__=\"LinearInterpolator\"},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(126),_=s.__importStar(t(18)),i=t(9);class n extends o.Interpolator{constructor(t){super(t)}static init_StepInterpolator(){this.define({mode:[_.StepMode,\"after\"]})}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=i.find_last_index(this._x_sorted,e=>t>=e);break;case\"before\":e=i.find_index(this._x_sorted,e=>t<=e);break;case\"center\":{const r=this._x_sorted.map(e=>Math.abs(e-t)),s=i.min(r);e=i.find_index(r,t=>s===t);break}default:throw new Error(\"unknown mode: \"+this.mode)}return-1!=e?this._y_sorted[e]:NaN}}r.StepInterpolator=n,n.__name__=\"StepInterpolator\",n.init_StepInterpolator()},\n",
+       "      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(121);class s extends a.ContinuousScale{constructor(t){super(t)}compute(t){const[e,o,a,s]=this._compute_state();let n;if(0==a)n=0;else{const r=(Math.log(t)-s)/a;n=isFinite(r)?r*e+o:NaN}return n}v_compute(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);if(0==a)for(let e=0;e<t.length;e++)n[e]=0;else for(let r=0;r<t.length;r++){const l=(Math.log(t[r])-s)/a;let c;c=isFinite(l)?l*e+o:NaN,n[r]=c}return n}invert(t){const[e,o,a,s]=this._compute_state(),n=(t-o)/e;return Math.exp(a*n+s)}v_invert(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);for(let r=0;r<t.length;r++){const l=(t[r]-o)/e;n[r]=Math.exp(a*l+s)}return n}_get_safe_factor(t,e){let o=t<0?0:t,a=e<0?0:e;if(o==a)if(0==o)[o,a]=[1,10];else{const t=Math.log(o)/Math.log(10);o=10**Math.floor(t),a=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[o,a]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,o=this.target_range.start,a=this.target_range.end-o,[s,n]=this._get_safe_factor(t,e);let r,l;return 0==s?(r=Math.log(n),l=0):(r=Math.log(n)-Math.log(s),l=Math.log(s)),[a,o,r,l]}}o.LogScale=s,s.__name__=\"LogScale\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(91),r=i.__importStar(t(18));class a extends n.Range{constructor(t){super(t)}static init_Range1d(){this.define({start:[r.Number,0],end:[r.Number,1],reset_start:[r.Number],reset_end:[r.Number]})}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this.reset_start,this.reset_end),e=Math.max(this.reset_start,this.reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),null==this.reset_start&&(this.reset_start=this.start),null==this.reset_end&&(this.reset_end=this.end),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds(),this.start!=this.reset_start||this.end!=this.reset_end?this.setv({start:this.reset_start,end:this.reset_end}):this.change.emit()}}s.Range1d=a,a.__name__=\"Range1d\",a.init_Range1d()},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=t(68),i=new Map;n.measure_font=function(t){const e=i.get(t);if(null!=e)return e;const n=o.span({style:{font:t}},\"Hg\"),l=o.div({style:{display:\"inline-block\",width:\"1px\",height:\"0px\"}}),s=o.div({},n,l);document.body.appendChild(s);try{l.style.verticalAlign=\"baseline\";const e=o.offset(l).top-o.offset(n).top;l.style.verticalAlign=\"bottom\";const d=o.offset(l).top-o.offset(n).top,c={height:d,ascent:e,descent:d-e};return i.set(t,c),c}finally{document.body.removeChild(s)}};const l=new Map;n.measure_text=function(t,e){let n=l.get(e);if(null!=n){const e=n.get(t);if(null!=e)return e}else n=new Map,l.set(e,n);const i=o.div({style:{display:\"inline-block\",\"white-space\":\"nowrap\",font:e}},t);document.body.appendChild(i);try{const{width:e,height:o}=i.getBoundingClientRect();return n.set(t,{width:e,height:o}),{width:e,height:o}}finally{document.body.removeChild(i)}}},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(134),l=e(68),n=s.__importStar(e(23)),o=s.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.warm_cache()}_get_size(){const{ctx:e}=this.layer;this.visuals.text.set_value(e);const{width:t,ascent:i}=e.measureText(this.model.text);return{width:t,height:i}}render(){if(this.model.visible||\"css\"!=this.model.render_mode||l.undisplay(this.el),!this.model.visible)return;let e;switch(this.model.angle_units){case\"rad\":e=-this.model.angle;break;case\"deg\":e=-this.model.angle*Math.PI/180}const t=null!=this.panel?this.panel:this.plot_view.frame,i=this.plot_view.frame.xscales[this.model.x_range_name],s=this.plot_view.frame.yscales[this.model.y_range_name];let a=\"data\"==this.model.x_units?i.compute(this.model.x):t.xview.compute(this.model.x),n=\"data\"==this.model.y_units?s.compute(this.model.y):t.yview.compute(this.model.y);a+=this.model.x_offset,n-=this.model.y_offset,(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,a,n,e)}}i.LabelView=_,_.__name__=\"LabelView\";class r extends a.TextAnnotation{constructor(e){super(e)}static init_Label(){this.prototype.default_view=_,this.mixins([n.Text,[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({x:[o.Number],x_units:[o.SpatialUnits,\"data\"],y:[o.Number],y_units:[o.SpatialUnits,\"data\"],text:[o.String],angle:[o.Angle,0],angle_units:[o.AngleUnits,\"rad\"],x_offset:[o.Number,0],y_offset:[o.Number,0],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}i.Label=r,r.__name__=\"Label\",r.init_Label()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=e(31),a=e(68),n=i.__importStar(e(18)),o=e(132),r=e(11);class _ extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&this.plot_view.canvas_view.add_overlay(this.el)}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,()=>this.render()):this.connect(this.model.change,()=>this.plot_view.request_render())}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=o.measure_font(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let l,a;switch(e.textAlign){case\"left\":l=0;break;case\"center\":l=-s/2;break;case\"right\":l=-s;break;default:r.unreachable()}switch(e.textBaseline){case\"top\":a=0;break;case\"middle\":a=-.5*i;break;case\"bottom\":a=-1*i;break;case\"alphabetic\":a=-.8*i;break;case\"hanging\":a=-.17*i;break;case\"ideographic\":a=-.83*i;break;default:r.unreachable()}return[l,a,s,i]}_canvas_text(e,t,s,i,l){this.visuals.text.set_value(e);const a=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),l&&e.rotate(l),e.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,l){a.undisplay(this.el),this.visuals.text.set_value(e);const n=this._calculate_bounding_box_dimensions(e,t),o=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_value(e),this.visuals.background_fill.set_value(e),this.el.style.position=\"absolute\",this.el.style.left=s+n[0]+\"px\",this.el.style.top=i+n[1]+\"px\",this.el.style.color=\"\"+this.visuals.text.text_color.value(),this.el.style.opacity=\"\"+this.visuals.text.text_alpha.value(),this.el.style.font=\"\"+this.visuals.text.font_value(),this.el.style.lineHeight=\"normal\",l&&(this.el.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(this.el.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(this.el.style.borderStyle=\"\"+o,this.el.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",this.el.style.borderColor=\"\"+this.visuals.border_line.color_value()),this.el.textContent=t,a.display(this.el)}}s.TextAnnotationView=_,_.__name__=\"TextAnnotationView\";class h extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define({render_mode:[n.RenderMode,\"canvas\"]})}}s.TextAnnotation=h,h.__name__=\"TextAnnotation\",h.init_TextAnnotation()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(134),o=t(76),a=i.__importStar(t(23)),n=t(68),r=i.__importStar(t(18));class _ extends l.TextAnnotationView{initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this._text.length;t<e;t++){const t=n.div({style:{display:\"none\"}});this.el.appendChild(t)}}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.render()})):(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}))}set_data(t){super.set_data(t),this.visuals.warm_cache(t)}_map_data(){const t=this.plot_view.frame.xscales[this.model.x_range_name],e=this.plot_view.frame.yscales[this.model.y_range_name],s=null!=this.panel?this.panel:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.yview.v_compute(this._y)]}render(){if(this.model.visible||\"css\"!=this.model.render_mode||n.undisplay(this.el),!this.model.visible)return;const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer,[s,i]=this._map_data();for(let l=0,o=this._text.length;l<o;l++)t(e,l,this._text[l],s[l]+this._x_offset[l],i[l]-this._y_offset[l],this._angle[l])}_get_size(){const{ctx:t}=this.layer;this.visuals.text.set_value(t);const{width:e,ascent:s}=t.measureText(this._text[0]);return{width:e,height:s}}_v_canvas_text(t,e,s,i,l,o){this.visuals.text.set_vectorize(t,e);const a=this._calculate_bounding_box_dimensions(t,s);t.save(),t.beginPath(),t.translate(i,l),t.rotate(o),t.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),t.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),t.stroke()),this.visuals.text.doit&&(this.visuals.text.set_vectorize(t,e),t.fillText(s,0,0)),t.restore()}_v_css_text(t,e,s,i,l,o){const a=this.el.children[e];a.textContent=s,this.visuals.text.set_vectorize(t,e);const r=this._calculate_bounding_box_dimensions(t,s),_=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_vectorize(t,e),this.visuals.background_fill.set_vectorize(t,e),a.style.position=\"absolute\",a.style.left=i+r[0]+\"px\",a.style.top=l+r[1]+\"px\",a.style.color=\"\"+this.visuals.text.text_color.value(),a.style.opacity=\"\"+this.visuals.text.text_alpha.value(),a.style.font=\"\"+this.visuals.text.font_value(),a.style.lineHeight=\"normal\",o&&(a.style.transform=`rotate(${o}rad)`),this.visuals.background_fill.doit&&(a.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(a.style.borderStyle=\"\"+_,a.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",a.style.borderColor=\"\"+this.visuals.border_line.color_value()),n.display(a)}}s.LabelSetView=_,_.__name__=\"LabelSetView\";class h extends l.TextAnnotation{constructor(t){super(t)}static init_LabelSet(){this.prototype.default_view=_,this.mixins([a.TextVector,[\"border_\",a.LineVector],[\"background_\",a.FillVector]]),this.define({x:[r.NumberSpec],y:[r.NumberSpec],x_units:[r.SpatialUnits,\"data\"],y_units:[r.SpatialUnits,\"data\"],text:[r.StringSpec,{field:\"text\"}],angle:[r.AngleSpec,0],x_offset:[r.NumberSpec,{value:0}],y_offset:[r.NumberSpec,{value:0}],source:[r.Instance,()=>new o.ColumnDataSource],x_range_name:[r.String,\"default\"],y_range_name:[r.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=h,h.__name__=\"LabelSet\",h.init_LabelSet()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(31),n=s.__importStar(t(23)),h=s.__importStar(t(18)),a=t(14),o=t(132),_=t(88),r=t(9),d=t(8),c=t(11);class g extends l.AnnotationView{cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.visuals.border_line.line_color.value()?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.item_change,()=>this.plot_view.request_render())}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:s,label_width:l}=this.model;this.max_label_height=r.max([o.measure_font(this.visuals.label_text.font_value()).height,s,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,r.max([n.measureText(e).width,l]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?o.measure_font(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const h=Math.max(r.max([...this.text_widths.values()]),0),a=this.model.margin,{legend_padding:g}=this,m=this.model.spacing,{label_standoff:b}=this.model;let u,f;if(\"vertical\"==this.model.orientation)u=t.length*this.max_label_height+Math.max(t.length-1,0)*m+2*g+this.title_height,f=r.max([h+i+b+2*g,this.title_width+2*g]);else{let e=2*g+Math.max(t.length-1,0)*m;for(const[,t]of this.text_widths)e+=r.max([t,l])+i+b;f=r.max([this.title_width+2*g,e]),u=this.max_label_height+this.title_height+2*g}const x=null!=this.panel?this.panel:this.plot_view.frame,[p,v]=x.bbox.ranges,{location:w}=this.model;let y,k;if(d.isString(w))switch(w){case\"top_left\":y=p.start+a,k=v.start+a;break;case\"top_center\":y=(p.end+p.start)/2-f/2,k=v.start+a;break;case\"top_right\":y=p.end-a-f,k=v.start+a;break;case\"bottom_right\":y=p.end-a-f,k=v.end-a-u;break;case\"bottom_center\":y=(p.end+p.start)/2-f/2,k=v.end-a-u;break;case\"bottom_left\":y=p.start+a,k=v.end-a-u;break;case\"center_left\":y=p.start+a,k=(v.end+v.start)/2-u/2;break;case\"center\":y=(p.end+p.start)/2-f/2,k=(v.end+v.start)/2-u/2;break;case\"center_right\":y=p.end-a-f,k=(v.end+v.start)/2-u/2}else if(d.isArray(w)&&2==w.length){const[t,e]=w;y=x.xview.compute(t),k=x.yview.compute(e)-u}else c.unreachable();return new _.BBox({left:y,top:k,width:f,height:u})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=i=l;const o=this.compute_legend_bbox(),r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop();for(const g of c){const c=o.x+a,m=o.y+i+this.title_height;let b,u;if([b,u]=r?[o.width-2*l,this.max_label_height]:[this.text_widths.get(g)+s+h,this.max_label_height],new _.BBox({left:c,top:m,width:b,height:u}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of d.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of d.renderers)t.muted=!t.muted}return!0}r?i+=this.max_label_height+n:a+=this.text_widths.get(g)+s+h+n}}return!1}render(){if(!this.model.visible)return;if(0==this.model.items.length)return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this.model.title&&this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=l,o=l;const _=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop(),g=d.get_field_from_label_prop();if(0==c.length)continue;const m=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return r.every(d.renderers,t=>t.visible);case\"mute\":return r.every(d.renderers,t=>!t.muted)}})();for(const r of c){const c=e.x+a,b=e.y+o+this.title_height,u=c+i,f=b+s;_?o+=this.max_label_height+n:a+=this.text_widths.get(r)+i+h+n,this.visuals.label_text.set_value(t),t.fillText(r,u+h,b+this.max_label_height/2);for(const e of d.renderers){this.plot_view.renderer_views.get(e).draw_legend(t,c,u,b,f,g,r,d.index)}if(!m){let s,n;[s,n]=_?[e.width-2*l,this.max_label_height]:[this.text_widths.get(r)+i+h,this.max_label_height],t.beginPath(),t.rect(c,b,s,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(this.model.title,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=g,g.__name__=\"LegendView\";class m extends l.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new a.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=g,this.mixins([[\"label_\",n.Text],[\"title_\",n.Text],[\"inactive_\",n.Fill],[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({orientation:[h.Orientation,\"vertical\"],location:[h.Any,\"top_right\"],title:[h.String],title_standoff:[h.Number,5],label_standoff:[h.Number,5],glyph_height:[h.Number,20],glyph_width:[h.Number,20],label_height:[h.Number,20],label_width:[h.Number,20],margin:[h.Number,10],padding:[h.Number,10],spacing:[h.Number,3],items:[h.Array,[]],click_policy:[h.Any,\"none\"]}),this.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=m,m.__name__=\"Legend\",m.init_Legend()},\n",
+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),l=e(71),i=e(77),s=e(138),_=t.__importStar(e(18)),o=e(72),a=e(9);class u extends l.Model{constructor(e){super(e)}static init_LegendItem(){this.define({label:[_.StringSpec,null],renderers:[_.Array,[]],index:[_.Number,null]})}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!a.includes(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,()=>{null!=this.legend&&this.legend.item_change.emit()}),this._check_data_sources_on_renderers()||o.logger.error(\"Non matching data sources on legend item renderers\"),this._check_field_label_on_data_source()||o.logger.error(\"Bad column name on label: \"+this.label)}get_field_from_label_prop(){const{label:e}=this;return s.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(s.isValue(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof i.ColumnarDataSource){const n=r.get_column(e);return null!=n?a.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=u,u.__name__=\"LegendItem\",u.init_LegendItem()},\n",
+       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(8);n.isValue=function(e){return t.isPlainObject(e)&&\"value\"in e},n.isField=function(e){return t.isPlainObject(e)&&\"field\"in e}},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(31),l=n.__importStar(t(23)),o=t(14),a=n.__importStar(t(18));class r extends s.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render())}render(){if(!this.model.visible)return;const{xs:t,ys:e}=this.model;if(t.length!=e.length)return;if(t.length<3||e.length<3)return;const{frame:i}=this.plot_view,{ctx:n}=this.layer;for(let s=0,l=t.length;s<l;s++){let l,o;if(\"screen\"!=this.model.xs_units)throw new Error(\"not implemented\");if(l=this.model.screen?t[s]:i.xview.compute(t[s]),\"screen\"!=this.model.ys_units)throw new Error(\"not implemented\");o=this.model.screen?e[s]:i.yview.compute(e[s]),0==s?(n.beginPath(),n.moveTo(l,o)):n.lineTo(l,o)}n.closePath(),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill())}}i.PolyAnnotationView=r,r.__name__=\"PolyAnnotationView\";class _ extends s.Annotation{constructor(t){super(t)}static init_PolyAnnotation(){this.prototype.default_view=r,this.mixins([l.Line,l.Fill]),this.define({xs:[a.Array,[]],xs_units:[a.SpatialUnits,\"data\"],ys:[a.Array,[]],ys_units:[a.SpatialUnits,\"data\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.internal({screen:[a.Boolean,!1]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({xs:t,ys:e}){this.setv({xs:t,ys:e,screen:!0},{silent:!0}),this.data_update.emit()}}i.PolyAnnotation=_,_.__name__=\"PolyAnnotation\",_.init_PolyAnnotation()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(31),l=n.__importStar(e(23)),o=n.__importStar(e(18));class r extends s.AnnotationView{initialize(){super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render())}render(){this.model.visible&&this._draw_slope()}_draw_slope(){const e=this.model.gradient,t=this.model.y_intercept;if(null==e||null==t)return;const{frame:i}=this.plot_view,n=i.xscales[this.model.x_range_name],s=i.yscales[this.model.y_range_name],l=i._top.value,o=l+i._height.value,r=(s.invert(l)-t)/e,a=(s.invert(o)-t)/e,_=n.compute(r),c=n.compute(a),{ctx:u}=this.layer;u.save(),u.beginPath(),this.visuals.line.set_value(u),u.moveTo(_,l),u.lineTo(c,o),u.stroke(),u.restore()}}i.SlopeView=r,r.__name__=\"SlopeView\";class a extends s.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=r,this.mixins(l.Line),this.define({gradient:[o.Number,null],y_intercept:[o.Number,null],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({line_color:\"black\"})}}i.Slope=a,a.__name__=\"Slope\",a.init_Slope()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),o=e(31),s=n.__importStar(e(23)),a=n.__importStar(e(18));class l extends o.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],n=t.yscales[this.model.y_range_name],o=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,a,l,r;\"width\"==this.model.dimension?(l=o(n,t.yview),a=t._left.value,r=t._width.value,s=this.model.properties.line_width.value()):(l=t._top.value,a=o(i,t.xview),r=this.model.properties.line_width.value(),s=t._height.value);const{ctx:_}=this.layer;_.save(),_.beginPath(),this.visuals.line.set_value(_),_.moveTo(a,l),\"width\"==this.model.dimension?_.lineTo(a+r,l):_.lineTo(a,l+s),_.stroke(),_.restore()}}i.SpanView=l,l.__name__=\"SpanView\";class r extends o.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=l,this.mixins(s.Line),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],location:[a.Number,null],location_units:[a.SpatialUnits,\"data\"],dimension:[a.Dimension,\"width\"]}),this.override({line_color:\"black\"}),this.internal({for_hover:[a.Boolean,!1]})}}i.Span=r,r.__name__=\"Span\",r.init_Span()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1),a=e(134),s=e(68),n=e(70),o=l.__importStar(e(23)),r=l.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.text=new n.Text(this.model)}_get_location(){const e=this.panel,t=this.model.offset;let i,l;switch(e.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":l=e._top.value+5;break;case\"middle\":l=e._vcenter.value;break;case\"bottom\":l=e._bottom.value-5}switch(this.model.align){case\"left\":i=e._left.value+t;break;case\"center\":i=e._hcenter.value;break;case\"right\":i=e._right.value-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=e._left.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._right.value+5}switch(this.model.align){case\"left\":l=e._bottom.value-t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._top.value+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=e._right.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._left.value+5}switch(this.model.align){case\"left\":l=e._top.value+t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._bottom.value-t}}return[i,l]}render(){if(!this.model.visible)return void(\"css\"==this.model.render_mode&&s.undisplay(this.el));const{text:e}=this.model;if(null==e||0==e.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[t,i]=this._get_location(),l=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,e,t,i,l)}_get_size(){const{text:e}=this.model;if(null==e||0==e.length)return{width:0,height:0};{this.visuals.text.set_value(this.layer.ctx);const{width:t,ascent:i}=this.layer.ctx.measureText(e);return{width:t,height:i*this.visuals.text.text_line_height.value()+10}}}}i.TitleView=_,_.__name__=\"TitleView\";class c extends a.TextAnnotation{constructor(e){super(e)}static init_Title(){this.prototype.default_view=_,this.mixins([[\"border_\",o.Line],[\"background_\",o.Fill]]),this.define({text:[r.String],text_font:[r.Font,\"helvetica\"],text_font_size:[r.StringSpec,\"13px\"],text_font_style:[r.FontStyle,\"bold\"],text_color:[r.ColorSpec,\"#444444\"],text_alpha:[r.NumberSpec,1],text_line_height:[r.Number,1],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[r.Number,0]}),this.override({background_fill_color:null,border_line_color:null}),this.internal({text_align:[r.TextAlign,\"left\"],text_baseline:[r.TextBaseline,\"bottom\"]})}}i.Title=c,c.__name__=\"Title\",c.init_Title()},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(31),s=e(99),a=e(68),n=o.__importStar(e(18));class r extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){this._toolbar_view=await s.build_view(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push(e=>this._toolbar_view.set_visibility(e))}remove(){this._toolbar_view.remove(),super.remove()}render(){super.render(),this.model.visible?(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",a.position(this.el,this.panel.bbox),this._toolbar_view.render(),a.empty(this.el),this.el.appendChild(this._toolbar_view.el),a.display(this.el)):a.undisplay(this.el)}_get_size(){const{tools:e,logo:i}=this.model.toolbar;return{width:30*e.length+(null!=i?25:0),height:30}}}t.ToolbarPanelView=r,r.__name__=\"ToolbarPanelView\";class _ extends l.Annotation{constructor(e){super(e)}static init_ToolbarPanel(){this.prototype.default_view=r,this.define({toolbar:[n.Instance]})}}t.ToolbarPanel=_,_.__name__=\"ToolbarPanel\",_.init_ToolbarPanel()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(31),o=t(68),a=i.__importStar(t(18)),h=t(145),n=t(146),r=i.__importDefault(t(147));function c(t,e,s,i,l){switch(t){case\"horizontal\":return e<i?\"right\":\"left\";case\"vertical\":return s<l?\"below\":\"above\";default:return t}}s.compute_side=c;class d extends l.AnnotationView{initialize(){super.initialize(),this.plot_view.canvas_view.add_overlay(this.el),o.undisplay(this.el)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>this._draw_tips())}styles(){return[...super.styles(),r.default]}css_classes(){return super.css_classes().concat(h.bk_tooltip)}render(){this.model.visible&&this._draw_tips()}_draw_tips(){const{data:t}=this.model;if(o.empty(this.el),o.undisplay(this.el),this.model.custom?this.el.classList.add(h.bk_tooltip_custom):this.el.classList.remove(h.bk_tooltip_custom),0==t.length)return;const{frame:e}=this.plot_view;for(const[s,i,l]of t){if(this.model.inner_only&&!e.bbox.contains(s,i))continue;const t=o.div({},l);this.el.appendChild(t)}const[s,i]=t[t.length-1],l=c(this.model.attachment,s,i,e._hcenter.value,e._vcenter.value);this.el.classList.remove(n.bk_right),this.el.classList.remove(n.bk_left),this.el.classList.remove(n.bk_above),this.el.classList.remove(n.bk_below);let a;o.display(this.el);let r=0,d=0;switch(l){case\"right\":this.el.classList.add(n.bk_left),r=s+(this.el.offsetWidth-this.el.clientWidth)+10,a=i-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(n.bk_right),d=this.plot_view.layout.bbox.width-s+10,a=i-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(n.bk_above),a=i+(this.el.offsetHeight-this.el.clientHeight)+10,r=Math.round(s-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(n.bk_below),a=i-this.el.offsetHeight-10,r=Math.round(s-this.el.offsetWidth/2)}this.model.show_arrow&&this.el.classList.add(h.bk_tooltip_arrow),this.el.childNodes.length>0?(this.el.style.top=a+\"px\",this.el.style.left=r?r+\"px\":\"auto\",this.el.style.right=d?d+\"px\":\"auto\"):o.undisplay(this.el)}}s.TooltipView=d,d.__name__=\"TooltipView\";class _ extends l.Annotation{constructor(t){super(t)}static init_Tooltip(){this.prototype.default_view=d,this.define({attachment:[a.TooltipAttachment,\"horizontal\"],inner_only:[a.Boolean,!0],show_arrow:[a.Boolean,!0]}),this.override({level:\"overlay\"}),this.internal({data:[a.Any,[]],custom:[a.Any]})}clear(){this.data=[]}add(t,e,s){this.data=this.data.concat([[t,e,s]])}}s.Tooltip=_,_.__name__=\"Tooltip\",_.init_Tooltip()},\n",
+       "      function _(o,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tooltip=\"bk-tooltip\",l.bk_tooltip_arrow=\"bk-tooltip-arrow\",l.bk_tooltip_custom=\"bk-tooltip-custom\",l.bk_tooltip_row_label=\"bk-tooltip-row-label\",l.bk_tooltip_row_value=\"bk-tooltip-row-value\",l.bk_tooltip_color_block=\"bk-tooltip-color-block\"},\n",
+       "      function _(e,b,k){Object.defineProperty(k,\"__esModule\",{value:!0}),k.bk_active=\"bk-active\",k.bk_inline=\"bk-inline\",k.bk_left=\"bk-left\",k.bk_right=\"bk-right\",k.bk_above=\"bk-above\",k.bk_below=\"bk-below\",k.bk_up=\"bk-up\",k.bk_down=\"bk-down\",k.bk_side=function(e){switch(e){case\"above\":return k.bk_above;case\"below\":return k.bk_below;case\"left\":return k.bk_left;case\"right\":return k.bk_right}}},\n",
+       "      function _(o,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root {\\n  /* Same border color used everywhere */\\n  /* Gray of icons */\\n}\\n.bk-root .bk-tooltip {\\n  font-weight: 300;\\n  font-size: 12px;\\n  position: absolute;\\n  padding: 5px;\\n  border: 1px solid #e5e5e5;\\n  color: #2f2f2f;\\n  background-color: white;\\n  pointer-events: none;\\n  opacity: 0.95;\\n  z-index: 100;\\n}\\n.bk-root .bk-tooltip > div:not(:first-child) {\\n  /* gives space when multiple elements are being hovered over */\\n  margin-top: 5px;\\n  border-top: #e5e5e5 1px dashed;\\n}\\n.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-left::before {\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right::after {\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-above::before {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  top: -10px;\\n  border-bottom-width: 10px;\\n  border-bottom-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-below::after {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  bottom: -10px;\\n  border-top-width: 10px;\\n  border-top-color: #909599;\\n}\\n.bk-root .bk-tooltip-row-label {\\n  text-align: right;\\n  color: #26aae1;\\n  /* blue from toolbar highlighting */\\n}\\n.bk-root .bk-tooltip-row-value {\\n  color: default;\\n  /* seems to be necessary for notebook */\\n}\\n.bk-root .bk-tooltip-color-block {\\n  width: 12px;\\n  height: 12px;\\n  margin-left: 5px;\\n  margin-right: 5px;\\n  outline: #dddddd solid 1px;\\n  display: inline-block;\\n}\\n'},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(31),o=e(76),a=e(75),n=e(23),h=i.__importStar(e(18));class _ extends r.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],r=\"height\"==t?i:s,o=\"height\"==t?s:i,a=\"height\"==t?e.yview:e.xview,n=\"height\"==t?e.xview:e.yview;let h,_,l;h=\"data\"==this.model.properties.lower.units?r.v_compute(this._lower):a.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?r.v_compute(this._upper):a.v_compute(this._upper),l=\"data\"==this.model.properties.base.units?o.v_compute(this._base):n.v_compute(this._base);const[d,p]=\"height\"==t?[1,0]:[0,1],c=[h,l],u=[_,l];this._lower_sx=c[d],this._lower_sy=c[p],this._upper_sx=u[d],this._upper_sy=u[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;t<s;t++)this.visuals.line.set_vectorize(e,t),e.beginPath(),e.moveTo(this._lower_sx[t],this._lower_sy[t]),e.lineTo(this._upper_sx[t],this._upper_sy[t]),e.stroke();const t=\"height\"==this.model.dimension?0:Math.PI/2;if(null!=this.model.lower_head)for(let s=0,i=this._lower_sx.length;s<i;s++)e.save(),e.translate(this._lower_sx[s],this._lower_sy[s]),e.rotate(t+Math.PI),this.model.lower_head.render(e,s),e.restore();if(null!=this.model.upper_head)for(let s=0,i=this._upper_sx.length;s<i;s++)e.save(),e.translate(this._upper_sx[s],this._upper_sy[s]),e.rotate(t),this.model.upper_head.render(e,s),e.restore()}}s.WhiskerView=_,_.__name__=\"WhiskerView\";class l extends r.Annotation{constructor(e){super(e)}static init_Whisker(){this.prototype.default_view=_,this.mixins(n.LineVector),this.define({lower:[h.DistanceSpec],lower_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],upper:[h.DistanceSpec],upper_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],base:[h.DistanceSpec],dimension:[h.Dimension,\"height\"],source:[h.Instance,()=>new o.ColumnDataSource],x_range_name:[h.String,\"default\"],y_range_name:[h.String,\"default\"]}),this.override({level:\"underlay\"})}}s.Whisker=l,l.__name__=\"Whisker\",l.init_Whisker()},\n",
+       "      function _(i,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});var r=i(150);e.Axis=r.Axis;var s=i(152);e.CategoricalAxis=s.CategoricalAxis;var x=i(155);e.ContinuousAxis=x.ContinuousAxis;var A=i(156);e.DatetimeAxis=A.DatetimeAxis;var o=i(157);e.LinearAxis=o.LinearAxis;var t=i(170);e.LogAxis=t.LogAxis;var n=i(173);e.MercatorAxis=n.MercatorAxis},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(151),l=s.__importStar(e(23)),n=s.__importStar(e(18)),o=e(9),r=e(8),_=e(90),{abs:h,min:c,max:m}=Math;class d extends a.GuideRendererView{constructor(){super(...arguments),this.rotate=!0}get panel(){return this.layout}render(){if(!this.model.visible)return;const e={tick:this._tick_extent(),tick_label:this._tick_label_extents(),axis_label:this._axis_label_extent()},t=this.tick_coords,i=this.layer.ctx;i.save(),this._draw_rule(i,e),this._draw_major_ticks(i,e,t),this._draw_minor_ticks(i,e,t),this._draw_major_labels(i,e,t),this._draw_axis_label(i,e,t),null!=this._render&&this._render(i,e,t),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint());const e=this.model.properties;this.on_change(e.visible,()=>this.plot_view.request_layout())}get_size(){if(this.model.visible&&null==this.model.fixed_location){const e=this._get_size();return{width:0,height:Math.round(e)}}return{width:0,height:0}}_get_size(){return this._tick_extent()+this._tick_label_extent()+this._axis_label_extent()}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(e,t){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,l]=this.plot_view.map_to_screen(i,s,this.model.x_range_name,this.model.y_range_name),[n,o]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(e),e.beginPath(),e.moveTo(Math.round(a[0]+n*r),Math.round(l[0]+o*_));for(let t=1;t<a.length;t++){const i=Math.round(a[t]+n*r),s=Math.round(l[t]+o*_);e.lineTo(i,s)}e.stroke()}_draw_major_ticks(e,t,i){const s=this.model.major_tick_in,a=this.model.major_tick_out,l=this.visuals.major_tick_line;this._draw_ticks(e,i.major,s,a,l)}_draw_minor_ticks(e,t,i){const s=this.model.minor_tick_in,a=this.model.minor_tick_out,l=this.visuals.minor_tick_line;this._draw_ticks(e,i.minor,s,a,l)}_draw_major_labels(e,t,i){const s=i.major,a=this.compute_labels(s[this.dimension]),l=this.model.major_label_orientation,n=t.tick+this.model.major_label_standoff,o=this.visuals.major_label_text;this._draw_oriented_labels(e,a,s,l,this.panel.side,n,o)}_draw_axis_label(e,t,i){if(null==this.model.axis_label||0==this.model.axis_label.length||null!=this.model.fixed_location)return;let s,a;switch(this.panel.side){case\"above\":s=this.panel._hcenter.value,a=this.panel._bottom.value;break;case\"below\":s=this.panel._hcenter.value,a=this.panel._top.value;break;case\"left\":s=this.panel._right.value,a=this.panel._vcenter.value;break;case\"right\":s=this.panel._left.value,a=this.panel._vcenter.value;break;default:throw new Error(\"unknown side: \"+this.panel.side)}const l=[[s],[a]],n=t.tick+o.sum(t.tick_label)+this.model.axis_label_standoff,r=this.visuals.axis_label_text;this._draw_oriented_labels(e,[this.model.axis_label],l,\"parallel\",this.panel.side,n,r,\"screen\")}_draw_ticks(e,t,i,s,a){if(!a.doit)return;const[l,n]=t,[o,r]=this.plot_view.map_to_screen(l,n,this.model.x_range_name,this.model.y_range_name),[_,h]=this.normals,[c,m]=this.offsets,[d,u]=[_*(c-i),h*(m-i)],[b,x]=[_*(c+s),h*(m+s)];a.set_value(e);for(let t=0;t<o.length;t++){const i=Math.round(o[t]+b),s=Math.round(r[t]+x),a=Math.round(o[t]+d),l=Math.round(r[t]+u);e.beginPath(),e.moveTo(i,s),e.lineTo(a,l),e.stroke()}}_draw_oriented_labels(e,t,i,s,a,l,n,o=\"data\"){if(!n.doit||0==t.length)return;let _,h,c,m;if(\"screen\"==o)[_,h]=i,[c,m]=[0,0];else{const[e,t]=i;[_,h]=this.plot_view.map_to_screen(e,t,this.model.x_range_name,this.model.y_range_name),[c,m]=this.offsets}const[d,u]=this.normals,b=d*(c+l),x=u*(m+l);let f;n.set_value(e),this.panel.apply_label_text_heuristics(e,s),f=r.isString(s)?this.panel.get_label_angle_heuristic(s):-s;for(let i=0;i<_.length;i++){const s=Math.round(_[i]+b),a=Math.round(h[i]+x);e.translate(s,a),e.rotate(f),e.fillText(t[i],0,0),e.rotate(-f),e.translate(-s,-a)}}_axis_label_extent(){if(null==this.model.axis_label||\"\"==this.model.axis_label)return 0;const e=this.model.axis_label_standoff,t=this.visuals.axis_label_text;return this._oriented_labels_extent([this.model.axis_label],\"parallel\",this.panel.side,e,t)}_tick_extent(){return this.model.major_tick_out}_tick_label_extent(){return o.sum(this._tick_label_extents())}_tick_label_extents(){const e=this.tick_coords.major,t=this.compute_labels(e[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(t,i,this.panel.side,s,a)]}_oriented_labels_extent(e,t,i,s,a){if(0==e.length)return 0;const l=this.layer.ctx;let n,o;a.set_value(l),r.isString(t)?(n=1,o=this.panel.get_label_angle_heuristic(t)):(n=2,o=-t),o=Math.abs(o);const _=Math.cos(o),h=Math.sin(o);let c=0;for(let t=0;t<e.length;t++){const s=1.1*l.measureText(e[t]).width,a=.9*l.measureText(e[t]).ascent;let o;o=\"above\"==i||\"below\"==i?s*h+a/n*_:s*_+a/n*h,o>c&&(c=o)}return c>0&&(c+=s),c}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(e){const t=this.model.formatter.doFormat(e,this);for(let i=0;i<e.length;i++)e[i]in this.model.major_label_overrides&&(t[i]=this.model.major_label_overrides[e[i]]);return t}get offsets(){if(null!=this.model.fixed_location)return[0,0];const{frame:e}=this.plot_view;let[t,i]=[0,0];switch(this.panel.side){case\"below\":i=h(this.panel._top.value-e._bottom.value);break;case\"above\":i=h(this.panel._bottom.value-e._top.value);break;case\"right\":t=h(this.panel._left.value-e._right.value);break;case\"left\":t=h(this.panel._right.value-e._left.value)}return[t,i]}get ranges(){const e=this.dimension,t=(e+1)%2,{frame:i}=this.plot_view,s=[i.x_ranges[this.model.x_range_name],i.y_ranges[this.model.y_range_name]];return[s[e],s[t]]}get computed_bounds(){const[e]=this.ranges,t=this.model.bounds,i=[e.min,e.max];if(\"auto\"==t)return[e.min,e.max];if(r.isArray(t)){let e,s;const[a,l]=t,[n,o]=i;return h(a-l)>h(n-o)?(e=m(c(a,l),n),s=c(m(a,l),o)):(e=c(a,l),s=m(a,l)),[e,s]}throw new Error(`user bounds '${t}' not understood`)}get rule_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=[new Array(2),new Array(2)];return l[e][0]=Math.max(s,i.min),l[e][1]=Math.min(a,i.max),l[e][0]>l[e][1]&&(l[e][0]=l[e][1]=NaN),l[t][0]=this.loc,l[t][1]=this.loc,l}get tick_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=this.model.ticker.get_ticks(s,a,i,this.loc,{}),n=l.major,o=l.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;i<n.length;i++)n[i]<h||n[i]>c||(r[e].push(n[i]),r[t].push(this.loc));for(let i=0;i<o.length;i++)o[i]<h||o[i]>c||(_[e].push(o[i]),_[t].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:e}=this.model;if(null!=e){if(r.isNumber(e))return e;const[,t]=this.ranges;if(t instanceof _.FactorRange)return t.synthetic(e);throw new Error(\"unexpected\")}const[,t]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return t.start;case\"right\":case\"above\":return t.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}}i.AxisView=d,d.__name__=\"AxisView\";class u extends a.GuideRenderer{constructor(e){super(e)}static init_Axis(){this.prototype.default_view=d,this.mixins([[\"axis_\",l.Line],[\"major_tick_\",l.Line],[\"minor_tick_\",l.Line],[\"major_label_\",l.Text],[\"axis_label_\",l.Text]]),this.define({bounds:[n.Any,\"auto\"],ticker:[n.Instance],formatter:[n.Instance],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"],axis_label:[n.String,\"\"],axis_label_standoff:[n.Int,5],major_label_standoff:[n.Int,5],major_label_orientation:[n.Any,\"horizontal\"],major_label_overrides:[n.Any,{}],major_tick_in:[n.Number,2],major_tick_out:[n.Number,6],minor_tick_in:[n.Number,0],minor_tick_out:[n.Number,4],fixed_location:[n.Any,null]}),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})}}i.Axis=u,u.__name__=\"Axis\",u.init_Axis()},\n",
+       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});const i=e(65);class n extends i.RendererView{}d.GuideRendererView=n,n.__name__=\"GuideRendererView\";class t extends i.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"guide\"})}}d.GuideRenderer=t,t.__name__=\"GuideRenderer\",t.init_GuideRenderer()},\n",
+       "      function _(t,s,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),i=t(150),r=t(153),a=t(154),l=e.__importStar(t(23)),_=e.__importStar(t(18));class n extends i.AxisView{_render(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;t<e.tops.length-1;t++){let s,o;for(let i=n;i<e.factors.length;i++)if(e.factors[i][0]==e.tops[t+1]){[s,o]=[e.factors[i-1],e.factors[i]],n=i;break}const h=(e.synthetic(s)+e.synthetic(o))/2;h>i&&h<r&&(_[a].push(h),_[l].push(this.loc))}const h=this._tick_label_extent();this._draw_ticks(t,_,-3,h-6,this.visuals.separator_line)}_draw_major_labels(t,s,o){const e=this._get_factor_info();let i=s.tick+this.model.major_label_standoff;for(let o=0;o<e.length;o++){const[r,a,l,_]=e[o];this._draw_oriented_labels(t,r,a,l,this.panel.side,i,_),i+=s.tick_label[o]}}_tick_label_extents(){const t=this._get_factor_info(),s=[];for(const[o,,e,i]of t){const t=this._oriented_labels_extent(o,e,this.panel.side,this.model.major_label_standoff,i);s.push(t)}return s}_get_factor_info(){const[t]=this.ranges,[s,o]=this.computed_bounds,e=this.loc,i=this.model.ticker.get_ticks(s,o,t,e,{}),r=this.tick_coords,a=[];if(1==t.levels){const t=i.major,s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=i.major.map(t=>t[1]),s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=i.major.map(t=>t[2]),s=this.model.formatter.doFormat(t,this),o=i.mids.map(t=>t[1]);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([o,r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc,{}),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map(t=>this.loc),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map(t=>this.loc)),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map(t=>this.loc)),a}}o.CategoricalAxisView=n,n.__name__=\"CategoricalAxisView\";class h extends i.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=n,this.mixins([[\"separator_\",l.Line],[\"group_\",l.Text],[\"subgroup_\",l.Text]]),this.define({group_label_orientation:[_.Any,\"parallel\"],subgroup_label_orientation:[_.Any,\"parallel\"]}),this.override({ticker:()=>new r.CategoricalTicker,formatter:()=>new a.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})}}o.CategoricalAxis=h,h.__name__=\"CategoricalAxis\",h.init_CategoricalAxis()},\n",
+       "      function _(t,c,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(112);class s extends o.Ticker{constructor(t){super(t)}get_ticks(t,c,e,o,s){return{major:this._collect(e.factors,e,t,c),minor:[],tops:this._collect(e.tops||[],e,t,c),mids:this._collect(e.mids||[],e,t,c)}}_collect(t,c,e,o){const s=[];for(const r of t){const t=c.synthetic(r);t>e&&t<o&&s.push(r)}return s}}e.CategoricalTicker=s,s.__name__=\"CategoricalTicker\"},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(114),c=e(9);class a extends o.TickFormatter{constructor(e){super(e)}doFormat(e,t){return c.copy(e)}}r.CategoricalTickFormatter=a,a.__name__=\"CategoricalTickFormatter\"},\n",
+       "      function _(s,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=s(150);class t extends o.Axis{constructor(s){super(s)}}n.ContinuousAxis=t,t.__name__=\"ContinuousAxis\"},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(157),a=e(158),r=e(163);class n extends s.LinearAxisView{}i.DatetimeAxisView=n,n.__name__=\"DatetimeAxisView\";class _ extends s.LinearAxis{constructor(e){super(e)}static init_DatetimeAxis(){this.prototype.default_view=n,this.override({ticker:()=>new r.DatetimeTicker,formatter:()=>new a.DatetimeTickFormatter})}}i.DatetimeAxis=_,_.__name__=\"DatetimeAxis\",_.init_DatetimeAxis()},\n",
+       "      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(150),n=e(155),r=e(113),a=e(109);class _ extends t.AxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class c extends n.ContinuousAxis{constructor(e){super(e)}static init_LinearAxis(){this.prototype.default_view=_,this.override({ticker:()=>new a.BasicTicker,formatter:()=>new r.BasicTickFormatter})}}s.LinearAxis=c,c.__name__=\"LinearAxis\",c.init_LinearAxis()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),i=r.__importDefault(t(159)),n=t(114),o=t(72),a=r.__importStar(t(18)),c=t(160),m=t(9),u=t(8);function h(t){return i.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map(t=>parseInt(t,10))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:i.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends n.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static init_DatetimeTickFormatter(){this.define({microseconds:[a.Array,[\"%fus\"]],milliseconds:[a.Array,[\"%3Nms\",\"%S.%3Ns\"]],seconds:[a.Array,[\"%Ss\"]],minsec:[a.Array,[\":%M:%S\"]],minutes:[a.Array,[\":%M\",\"%Mm\"]],hourmin:[a.Array,[\"%H:%M\"]],hours:[a.Array,[\"%Hh\",\"%H:%M\"]],days:[a.Array,[\"%m/%d\",\"%a%d\"]],months:[a.Array,[\"%m/%Y\",\"%b %Y\"]],years:[a.Array,[\"%Y\"]]})}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const t=+i.default(new Date),s=function(s){const e=s.map(s=>d(t,s).length),r=m.sort_by(m.zip(e,s),([t])=>t);return m.unzip(r)};this._width_formats={microseconds:s(this.microseconds),milliseconds:s(this.milliseconds),seconds:s(this.seconds),minsec:s(this.minsec),minutes:s(this.minutes),hourmin:s(this.hourmin),hours:s(this.hours),days:s(this.days),months:s(this.months),years:s(this.years)}}_get_resolution_str(t,s){const e=1.1*t;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return s>=60?\"minsec\":\"seconds\";case!(e<3600):return s>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(t,s){if(0==t.length)return[];const e=Math.abs(t[t.length-1]-t[0])/1e3,r=e/(t.length-1),i=this._get_resolution_str(r,e),[,[n]]=this._width_formats[i],a=[],c=l.indexOf(i),m={};for(const t of l)m[t]=0;m.seconds=5,m.minsec=4,m.minutes=4,m.hourmin=3,m.hours=3;for(const s of t){let t,e;try{e=h(s),t=d(s,n)}catch(t){o.logger.warn(\"unable to format tick for timestamp value \"+s),o.logger.warn(\" - \"+t),a.push(\"ERR\");continue}let r=!1,u=c;for(;0==e[m[l[u]]];){let n;if(u+=1,u==l.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!r){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){n=this._width_formats[l[c-1]][1][0],t=d(s,n);break}r=!0}n=this._width_formats[l[u]][1][0],t=d(s,n)}if(this.strip_leading_zeros){let s=t.replace(/^0+/g,\"\");s!=t&&isNaN(parseInt(s))&&(s=\"0\"+s),a.push(s)}else a.push(t)}return a}}e.DatetimeTickFormatter=_,_.__name__=\"DatetimeTickFormatter\",_.init_DatetimeTickFormatter()},\n",
+       "      function _(e,t,n){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new Date(Date.UTC(n,t.month,Math.abs(o++)))}while(t.day[0]<7&&r.getUTCDay()!=t.day[0]);return(r={clock:t.clock,sort:r.getTime(),rule:t,save:6e4*t.save,offset:e.offset})[r.clock]=r.sort+6e4*t.time,r.posix?r.wallclock=r[r.clock]+(e.offset+t.saved):r.posix=r[r.clock]-(e.offset+t.saved),r}function t(t,n,r){var o,a,u,i,l,s,c,f=t[t.zone],h=[],T=new Date(r).getUTCFullYear(),g=1;for(o=1,a=f.length;o<a&&!(f[o][n]<=r);o++);if((u=f[o]).rules){for(s=t[u.rules],c=T+1;c>=T-g;--c)for(o=0,a=s.length;o<a;o++)s[o].from<=c&&c<=s[o].to?h.push(e(u,s[o],c)):s[o].to<c&&1==g&&(g=c-s[o].to);for(h.sort((function(e,t){return e.sort-t.sort})),o=0,a=h.length;o<a;o++)r>=h[o][n]&&h[o][h[o].clock]>u[h[o].clock]&&(i=h[o])}return i&&((l=/^(.*)\\/(.*)$/.exec(u.format))?i.abbrev=l[i.save?2:1]:i.abbrev=u.format.replace(/%s/,i.rule.letter)),i||u}function n(e,n){return\"UTC\"==e.zone?n:(e.entry=t(e,\"posix\",n),n+e.entry.offset+e.entry.save)}function r(e,n){return\"UTC\"==e.zone?n:(e.entry=r=t(e,\"wallclock\",n),0<(o=n-r.wallclock)&&o<r.save?null:n-r.offset-r.save);var r,o}function o(e,t,o){var a,i=+(o[1]+1),s=o[2]*i,c=u.indexOf(o[3].toLowerCase());if(c>9)t+=s*l[c-10];else{if(a=new Date(n(e,t)),c<7)for(;s;)a.setUTCDate(a.getUTCDate()+i),a.getUTCDay()==c&&(s-=i);else 7==c?a.setUTCFullYear(a.getUTCFullYear()+s):8==c?a.setUTCMonth(a.getUTCMonth()+s):a.setUTCDate(a.getUTCDate()+s);null==(t=r(e,a.getTime()))&&(t=r(e,a.getTime()+864e5*i)-864e5*i)}return t}var a={clock:function(){return+new Date},zone:\"UTC\",entry:{abbrev:\"UTC\",offset:0,save:0},UTC:1,z:function(e,t,n,r){var 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e.getUTCFullYear()},y:function(e){return e.getUTCFullYear()%100},H:function(e){return e.getUTCHours()},M:function(e){return e.getUTCMinutes()},S:function(e){return e.getUTCSeconds()},e:function(e){return e.getUTCDate()},d:function(e){return e.getUTCDate()},u:function(e){return e.getUTCDay()||7},w:function(e){return e.getUTCDay()},l:function(e){return e.getUTCHours()%12||12},I:function(e){return e.getUTCHours()%12||12},k:function(e){return e.getUTCHours()},Z:function(e){return this.entry.abbrev},a:function(e){return this[this.locale].day.abbrev[e.getUTCDay()]},A:function(e){return this[this.locale].day.full[e.getUTCDay()]},h:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},b:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},B:function(e){return this[this.locale].month.full[e.getUTCMonth()]},P:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)].toLowerCase()},p:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)]},R:function(e,t){return this.convert([t,\"%H:%M\"])},T:function(e,t){return this.convert([t,\"%H:%M:%S\"])},D:function(e,t){return this.convert([t,\"%m/%d/%y\"])},F:function(e,t){return this.convert([t,\"%Y-%m-%d\"])},x:function(e,t){return this.convert([t,this[this.locale].date])},r:function(e,t){return this.convert([t,this[this.locale].time12||\"%I:%M:%S\"])},X:function(e,t){return this.convert([t,this[this.locale].time24])},c:function(e,t){return this.convert([t,this[this.locale].dateTime])},convert:function(e){if(!e.length)return\"1.0.23\";var t,a,u,l,s,c=Object.create(this),f=[];for(t=0;t<e.length;t++)if(l=e[t],Array.isArray(l))t||isNaN(l[1])?l.splice.apply(e,[t--,1].concat(l)):s=l;else if(isNaN(l)){if(\"string\"==(u=typeof 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+       "      function _(r,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=r(1),i=t.__importStar(r(161)),u=r(162),a=t.__importDefault(r(159)),f=r(24),o=r(8);function l(r,...n){return u.sprintf(r,...n)}function s(r,n,e){if(o.isNumber(r)){return l((()=>{switch(!1){case Math.floor(r)!=r:return\"%d\";case!(Math.abs(r)>.1&&Math.abs(r)<1e3):return\"%0.3f\";default:return\"%0.3e\"}})(),r)}return\"\"+r}function c(r,n,t){if(null==n)return s;if(null!=t&&r in t){const n=t[r];if(o.isString(n)){if(n in e.DEFAULT_FORMATTERS)return e.DEFAULT_FORMATTERS[n];throw new Error(`Unknown tooltip field formatter type '${n}'`)}return function(r,e,t){return n.format(r,e,t)}}return e.DEFAULT_FORMATTERS.numeral}function m(r,n,e,t){if(\"$\"==r[0]){return function(r,n){if(r in n)return n[r];throw new Error(`Unknown special variable '$${r}'`)}(r.substring(1),t)}return function(r,n,e){const t=n.get_column(r);if(null==t)return null;if(o.isNumber(e))return t[e];const i=t[e.index];if(o.isTypedArray(i)||o.isArray(i)){if(o.isArray(i[0])){return i[e.dim2][e.dim1]}return i[e.flat_index]}return i}(r.substring(1).replace(/[{}]/g,\"\"),n,e)}e.DEFAULT_FORMATTERS={numeral:(r,n,e)=>i.format(r,n),datetime:(r,n,e)=>a.default(r,n),printf:(r,n,e)=>l(n,r)},e.sprintf=l,e.basic_formatter=s,e.get_formatter=c,e.get_value=m,e.replace_placeholders=function(r,n,e,t,i={}){return r=(r=r.replace(/@\\$name/g,r=>`@{${i.name}}`)).replace(/((?:\\$\\w+)|(?:@\\w+)|(?:@{(?:[^{}]+)}))(?:{([^{}]+)})?/g,(r,u,a)=>{const o=m(u,n,e,i);if(null==o)return\"\"+f.escape(\"???\");if(\"safe\"==a)return\"\"+o;const l=c(u,a,t);return\"\"+f.escape(l(o,a,i))})}},\n",
+       "      function _(e,n,t){\n",
+       "      /*!\n",
+       "           * numbro.js\n",
+       "           * version : 1.6.2\n",
+       "           * author : Företagsplatsen AB\n",
+       "           * license : MIT\n",
+       "           * http://www.foretagsplatsen.se\n",
+       "           */\n",
+       "      var r,i={},a=i,o=\"en-US\",l=null,u=\"0,0\";void 0!==n&&n.exports;function c(e){this._value=e}function s(e){var n,t=\"\";for(n=0;n<e;n++)t+=\"0\";return t}function f(e,n,t,r){var i,a,o=Math.pow(10,n);return a=e.toFixed(0).search(\"e\")>-1?function(e,n){var t,r,i,a;return t=(a=e.toString()).split(\"e\")[0],i=a.split(\"e\")[1],a=t.split(\".\")[0]+(r=t.split(\".\")[1]||\"\")+s(i-r.length),n>0&&(a+=\".\"+s(n)),a}(e,n):(t(e*o)/o).toFixed(n),r&&(i=new RegExp(\"0{1,\"+r+\"}$\"),a=a.replace(i,\"\")),a}function d(e,n,t){return n.indexOf(\"$\")>-1?function(e,n,t){var r,a,l=n,u=l.indexOf(\"$\"),c=l.indexOf(\"(\"),s=l.indexOf(\"+\"),f=l.indexOf(\"-\"),d=\"\",p=\"\";-1===l.indexOf(\"$\")?\"infix\"===i[o].currency.position?(p=i[o].currency.symbol,i[o].currency.spaceSeparated&&(p=\" \"+p+\" \")):i[o].currency.spaceSeparated&&(d=\" \"):l.indexOf(\" $\")>-1?(d=\" \",l=l.replace(\" $\",\"\")):l.indexOf(\"$ \")>-1?(d=\" \",l=l.replace(\"$ 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Array(v-x.length+1).join(\"0\")+x),y>-1&&(x=x.toString().replace(/(\\d)(?=(\\d{3})+(?!\\d))/g,\"$1\"+i[o].delimiters.thousands)),0===n.indexOf(\".\")&&(x=\"\"),b+(n.indexOf(\"(\")<n.indexOf(\"-\")?(B&&R?\"(\":\"\")+(P&&R||!B&&R?\"-\":\"\"):(P&&R||!B&&R?\"-\":\"\")+(B&&R?\"(\":\"\"))+(!R&&E&&0!==e?\"+\":\"\")+x+I+(L||\"\")+(k&&!r?k:\"\")+(C||\"\")+(B&&R?\")\":\"\")+w}function p(e,n){i[e]=n}function m(e){o=e;var n=i[e].defaults;n&&n.format&&r.defaultFormat(n.format),n&&n.currencyFormat&&r.defaultCurrencyFormat(n.currencyFormat)}(r=function(e){return r.isNumbro(e)?e=e.value():0===e||void 0===e?e=0:Number(e)||(e=r.fn.unformat(e)),new c(Number(e))}).version=\"1.6.2\",r.isNumbro=function(e){return e instanceof c},r.setLanguage=function(e,n){console.warn(\"`setLanguage` is deprecated since version 1.6.0. 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Use `cultureData` instead\"),!e)return a[o];if(!a[e])throw new Error(\"Unknown language : \"+e);return a[e]},r.cultureData=function(e){if(!e)return i[o];if(!i[e])throw new Error(\"Unknown culture : \"+e);return i[e]},r.culture(\"en-US\",{delimiters:{thousands:\",\",decimal:\".\"},abbreviations:{thousand:\"k\",million:\"m\",billion:\"b\",trillion:\"t\"},ordinal:function(e){var n=e%10;return 1==~~(e%100/10)?\"th\":1===n?\"st\":2===n?\"nd\":3===n?\"rd\":\"th\"},currency:{symbol:\"$\",position:\"prefix\"},defaults:{currencyFormat:\",0000 a\"},formats:{fourDigits:\"0000 a\",fullWithTwoDecimals:\"$ ,0.00\",fullWithTwoDecimalsNoCurrency:\",0.00\"}}),r.languages=function(){return console.warn(\"`languages` is deprecated since version 1.6.0. Use `cultures` instead\"),a},r.cultures=function(){return i},r.zeroFormat=function(e){l=\"string\"==typeof e?e:null},r.defaultFormat=function(e){u=\"string\"==typeof e?e:\"0.0\"},r.defaultCurrencyFormat=function(e){\"string\"==typeof e?e:\"0$\"},r.validate=function(e,n){var t,i,a,o,l,u,c,s;if(\"string\"!=typeof e&&(e+=\"\",console.warn&&console.warn(\"Numbro.js: Value is not string. It has been co-erced to: \",e)),(e=e.trim()).match(/^\\d+$/))return!0;if(\"\"===e)return!1;try{c=r.cultureData(n)}catch(e){c=r.cultureData(r.culture())}return a=c.currency.symbol,l=c.abbreviations,t=c.delimiters.decimal,i=\".\"===c.delimiters.thousands?\"\\\\.\":c.delimiters.thousands,(null===(s=e.match(/^[^\\d]+/))||(e=e.substr(1),s[0]===a))&&((null===(s=e.match(/[^\\d]+$/))||(e=e.slice(0,-1),s[0]===l.thousand||s[0]===l.million||s[0]===l.billion||s[0]===l.trillion))&&(u=new RegExp(i+\"{2}\"),!e.match(/[^\\d.,]/g)&&(!((o=e.split(t)).length>2)&&(o.length<2?!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u):1===o[0].length?!!o[0].match(/^\\d+$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/):!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/)))))},n.exports={format:function(e,n,t,i){return null!=t&&t!==r.culture()&&r.setCulture(t),d(Number(e),null!=n?n:u,null==i?Math.round:i)}}},\n",
+       "      function _(e,n,t){!function(){\"use strict\";var e={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function n(e){return i(a(e),arguments)}function r(e,t){return n.apply(null,[e].concat(t||[]))}function i(t,r){var i,s,a,o,p,c,l,u,f,d=1,g=t.length,y=\"\";for(s=0;s<g;s++)if(\"string\"==typeof t[s])y+=t[s];else if(\"object\"==typeof t[s]){if((o=t[s]).keys)for(i=r[d],a=0;a<o.keys.length;a++){if(null==i)throw new Error(n('[sprintf] Cannot access property \"%s\" of undefined value \"%s\"',o.keys[a],o.keys[a-1]));i=i[o.keys[a]]}else i=o.param_no?r[o.param_no]:r[d++];if(e.not_type.test(o.type)&&e.not_primitive.test(o.type)&&i instanceof Function&&(i=i()),e.numeric_arg.test(o.type)&&\"number\"!=typeof i&&isNaN(i))throw new TypeError(n(\"[sprintf] expecting number but found %T\",i));switch(e.number.test(o.type)&&(u=i>=0),o.type){case\"b\":i=parseInt(i,10).toString(2);break;case\"c\":i=String.fromCharCode(parseInt(i,10));break;case\"d\":case\"i\":i=parseInt(i,10);break;case\"j\":i=JSON.stringify(i,null,o.width?parseInt(o.width):0);break;case\"e\":i=o.precision?parseFloat(i).toExponential(o.precision):parseFloat(i).toExponential();break;case\"f\":i=o.precision?parseFloat(i).toFixed(o.precision):parseFloat(i);break;case\"g\":i=o.precision?String(Number(i.toPrecision(o.precision))):parseFloat(i);break;case\"o\":i=(parseInt(i,10)>>>0).toString(8);break;case\"s\":i=String(i),i=o.precision?i.substring(0,o.precision):i;break;case\"t\":i=String(!!i),i=o.precision?i.substring(0,o.precision):i;break;case\"T\":i=Object.prototype.toString.call(i).slice(8,-1).toLowerCase(),i=o.precision?i.substring(0,o.precision):i;break;case\"u\":i=parseInt(i,10)>>>0;break;case\"v\":i=i.valueOf(),i=o.precision?i.substring(0,o.precision):i;break;case\"x\":i=(parseInt(i,10)>>>0).toString(16);break;case\"X\":i=(parseInt(i,10)>>>0).toString(16).toUpperCase()}e.json.test(o.type)?y+=i:(!e.number.test(o.type)||u&&!o.sign?f=\"\":(f=u?\"+\":\"-\",i=i.toString().replace(e.sign,\"\")),c=o.pad_char?\"0\"===o.pad_char?\"0\":o.pad_char.charAt(1):\" \",l=o.width-(f+i).length,p=o.width&&l>0?c.repeat(l):\"\",y+=o.align?f+i+p:\"0\"===c?f+p+i:p+f+i)}return y}var s=Object.create(null);function a(n){if(s[n])return s[n];for(var t,r=n,i=[],a=0;r;){if(null!==(t=e.text.exec(r)))i.push(t[0]);else if(null!==(t=e.modulo.exec(r)))i.push(\"%\");else{if(null===(t=e.placeholder.exec(r)))throw new SyntaxError(\"[sprintf] unexpected placeholder\");if(t[2]){a|=1;var o=[],p=t[2],c=[];if(null===(c=e.key.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");for(o.push(c[1]);\"\"!==(p=p.substring(c[0].length));)if(null!==(c=e.key_access.exec(p)))o.push(c[1]);else{if(null===(c=e.index_access.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");o.push(c[1])}t[2]=o}else a|=2;if(3===a)throw new Error(\"[sprintf] mixing positional and named placeholders is not (yet) supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n",
+       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(9),a=e(110),s=e(164),r=e(165),c=e(168),_=e(169),m=e(167);class k extends s.CompositeTicker{constructor(e){super(e)}static init_DatetimeTicker(){this.override({num_minor_ticks:0,tickers:()=>[new a.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*m.ONE_MILLI,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:m.ONE_SECOND,max_interval:30*m.ONE_MINUTE,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:m.ONE_HOUR,max_interval:12*m.ONE_HOUR,num_minor_ticks:0}),new r.DaysTicker({days:t.range(1,32)}),new r.DaysTicker({days:t.range(1,31,3)}),new r.DaysTicker({days:[1,8,15,22]}),new r.DaysTicker({days:[1,15]}),new c.MonthsTicker({months:t.range(0,12,1)}),new c.MonthsTicker({months:t.range(0,12,2)}),new c.MonthsTicker({months:t.range(0,12,4)}),new c.MonthsTicker({months:t.range(0,12,6)}),new _.YearsTicker({})]})}}n.DatetimeTicker=k,k.__name__=\"DatetimeTicker\",k.init_DatetimeTicker()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),s=t(111),n=r.__importStar(t(18)),_=t(9);class a extends s.ContinuousTicker{constructor(t){super(t)}static init_CompositeTicker(){this.define({tickers:[n.Array,[]]})}get min_intervals(){return this.tickers.map(t=>t.get_min_interval())}get max_intervals(){return this.tickers.map(t=>t.get_max_interval())}get min_interval(){return this.min_intervals[0]}get max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const r=e-t,s=this.get_ideal_interval(t,e,i),n=[_.sorted_index(this.min_intervals,s)-1,_.sorted_index(this.max_intervals,s)],a=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map(t=>Math.abs(i-r/t));let c;if(_.is_empty(a.filter(t=>!isNaN(t))))c=this.tickers[0];else{const t=n[_.argmin(a)];c=this.tickers[t]}return c}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,r){return this.get_best_ticker(t,e,r).get_ticks_no_defaults(t,e,i,r)}}i.CompositeTicker=a,a.__name__=\"CompositeTicker\",a.init_CompositeTicker()},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=t(166),a=t(167),o=i.__importStar(t(18)),r=t(9);class _ extends s.SingleIntervalTicker{constructor(t){super(t)}static init_DaysTicker(){this.define({days:[o.Array,[]]}),this.override({num_minor_ticks:0})}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*a.ONE_DAY:this.interval=31*a.ONE_DAY}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=a.last_month_no_later_than(new Date(t)),i=a.last_month_no_later_than(new Date(e));i.setUTCMonth(i.getUTCMonth()+1);const s=[],o=n;for(;s.push(a.copy_date(o)),o.setUTCMonth(o.getUTCMonth()+1),!(o>i););return s}(t,e),o=this.days,_=this.interval;return{major:r.concat(s.map(t=>((t,e)=>{const n=t.getUTCMonth(),i=[];for(const s of o){const o=a.copy_date(t);o.setUTCDate(s),new Date(o.getTime()+e/2).getUTCMonth()==n&&i.push(o)}return i})(t,_))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.DaysTicker=_,_.__name__=\"DaysTicker\",_.init_DaysTicker()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),r=e(111),l=n.__importStar(e(18));class a extends r.ContinuousTicker{constructor(e){super(e)}static init_SingleIntervalTicker(){this.define({interval:[l.Number]})}get_interval(e,t,i){return this.interval}get min_interval(){return this.interval}get max_interval(){return this.interval}}i.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n",
+       "      function _(t,e,n){function _(t){return new Date(t.getTime())}function O(t){const e=_(t);return e.setUTCDate(1),e.setUTCHours(0),e.setUTCMinutes(0),e.setUTCSeconds(0),e.setUTCMilliseconds(0),e}Object.defineProperty(n,\"__esModule\",{value:!0}),n.ONE_MILLI=1,n.ONE_SECOND=1e3,n.ONE_MINUTE=60*n.ONE_SECOND,n.ONE_HOUR=60*n.ONE_MINUTE,n.ONE_DAY=24*n.ONE_HOUR,n.ONE_MONTH=30*n.ONE_DAY,n.ONE_YEAR=365*n.ONE_DAY,n.copy_date=_,n.last_month_no_later_than=O,n.last_year_no_later_than=function(t){const e=O(t);return e.setUTCMonth(0),e}},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(166),s=t(167),a=r.__importStar(t(18)),o=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define({months:[a.Array,[]]})}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*s.ONE_MONTH:this.interval=12*s.ONE_MONTH}get_ticks_no_defaults(t,e,n,r){const i=function(t,e){const n=s.last_year_no_later_than(new Date(t)),r=s.last_year_no_later_than(new Date(e));r.setUTCFullYear(r.getUTCFullYear()+1);const i=[],a=n;for(;i.push(s.copy_date(a)),a.setUTCFullYear(a.getUTCFullYear()+1),!(a>r););return i}(t,e),a=this.months;return{major:o.concat(i.map(t=>a.map(e=>{const n=s.copy_date(t);return n.setUTCMonth(e),n}))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.MonthsTicker=_,_.__name__=\"MonthsTicker\",_.init_MonthsTicker()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(109),r=e(166),n=e(167);class _ extends r.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=n.ONE_YEAR,this.basic_ticker=new i.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=n.last_year_no_later_than(new Date(e)).getUTCFullYear(),_=n.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,_,a,i).major.map(e=>Date.UTC(e,0,1)).filter(a=>e<=a&&a<=t),minor:[]}}}a.YearsTicker=_,_.__name__=\"YearsTicker\"},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(150),o=e(155),n=e(171),r=e(172);class _ extends s.AxisView{}t.LogAxisView=_,_.__name__=\"LogAxisView\";class c extends o.ContinuousAxis{constructor(e){super(e)}static init_LogAxis(){this.prototype.default_view=_,this.override({ticker:()=>new r.LogTicker,formatter:()=>new n.LogTickFormatter})}}t.LogAxis=c,c.__name__=\"LogAxis\",c.init_LogAxis()},\n",
+       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=t(114),a=t(113),n=i.__importStar(t(18));class c extends o.TickFormatter{constructor(t){super(t)}static init_LogTickFormatter(){this.define({ticker:[n.Instance,null]})}initialize(){super.initialize(),this.basic_formatter=new a.BasicTickFormatter}doFormat(t,e){if(0==t.length)return[];const r=null!=this.ticker?this.ticker.base:10;let i=!1;const o=new Array(t.length);for(let e=0,a=t.length;e<a;e++)if(o[e]=`${r}^${Math.round(Math.log(t[e])/Math.log(r))}`,e>0&&o[e]==o[e-1]){i=!0;break}return i?this.basic_formatter.doFormat(t,e):o}}r.LogTickFormatter=c,c.__name__=\"LogTickFormatter\",c.init_LogTickFormatter()},\n",
+       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(110),s=t(9);class n extends i.AdaptiveTicker{constructor(t){super(t)}static init_LogTicker(){this.override({mantissas:[1,5]})}get_ticks_no_defaults(t,o,e,i){const n=this.num_minor_ticks,r=[],c=this.base,a=Math.log(t)/Math.log(c),f=Math.log(o)/Math.log(c),l=f-a;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,i),c=Math.floor(t/e),a=Math.ceil(o/e);if(h=s.range(c,a+1).filter(t=>0!=t).map(t=>t*e).filter(e=>t<=e&&e<=o),n>0&&h.length>0){const t=e/n,o=s.range(0,n).map(o=>o*t);for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*a),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=s.range(t-1,o+1,e).map(t=>c**t),n>0&&h.length>0){const t=c**e/n,o=s.range(1,n+1).map(o=>o*t);for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter(e=>t<=e&&e<=o),minor:r.filter(e=>t<=e&&e<=o)}}}e.LogTicker=n,n.__name__=\"LogTicker\",n.init_LogTicker()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(150),s=e(157),o=e(174),a=e(175);class c extends i.AxisView{}r.MercatorAxisView=c,c.__name__=\"MercatorAxisView\";class n extends s.LinearAxis{constructor(e){super(e)}static init_MercatorAxis(){this.prototype.default_view=c,this.override({ticker:()=>new a.MercatorTicker({dimension:\"lat\"}),formatter:()=>new o.MercatorTickFormatter({dimension:\"lat\"})})}}r.MercatorAxis=n,n.__name__=\"MercatorAxis\",n.init_MercatorAxis()},\n",
+       "      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),n=r(113),i=o.__importStar(r(18)),c=r(32);class s extends n.BasicTickFormatter{constructor(r){super(r)}static init_MercatorTickFormatter(){this.define({dimension:[i.LatLon]})}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n<e;n++){const[e]=c.wgs84_mercator.inverse([r[n],t.loc]);o[n]=e}else for(let n=0;n<e;n++){const[,e]=c.wgs84_mercator.inverse([t.loc,r[n]]);o[n]=e}return super.doFormat(o,t)}}e.MercatorTickFormatter=s,s.__name__=\"MercatorTickFormatter\",s.init_MercatorTickFormatter()},\n",
+       "      function _(r,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=r(1),s=r(109),i=n.__importStar(r(18)),t=r(32);class c extends s.BasicTicker{constructor(r){super(r)}static init_MercatorTicker(){this.define({dimension:[i.LatLon]})}get_ticks_no_defaults(r,o,e,n){if(null==this.dimension)throw new Error(\"MercatorTicker.dimension not configured\");let s,i,c;[r,o]=t.clip_mercator(r,o,this.dimension),\"lon\"===this.dimension?([s,c]=t.wgs84_mercator.inverse([r,e]),[i,c]=t.wgs84_mercator.inverse([o,e])):([c,s]=t.wgs84_mercator.inverse([e,r]),[c,i]=t.wgs84_mercator.inverse([e,o]));const a=super.get_ticks_no_defaults(s,i,e,n),_=[],f=[];if(\"lon\"===this.dimension){for(const r of a.major)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);_.push(o)}for(const r of a.minor)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);f.push(o)}}else{for(const r of a.major)if(t.in_bounds(r,\"lat\")){const[,o]=t.wgs84_mercator.forward([c,r]);_.push(o)}for(const r of a.minor)if(t.in_bounds(r,\"lat\")){const[,o]=t.wgs84_mercator.forward([c,r]);f.push(o)}}return{major:_,minor:f}}}e.MercatorTicker=c,c.__name__=\"MercatorTicker\",c.init_MercatorTicker()},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});var t=e(177);o.CustomJS=t.CustomJS;var u=e(179);o.OpenURL=u.OpenURL},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),u=t(178),c=n.__importStar(t(18)),r=t(17),a=t(24);class i extends u.Callback{constructor(t){super(t)}static init_CustomJS(){this.define({args:[c.Any,{}],code:[c.String,\"\"]})}get names(){return r.keys(this.args)}get values(){return r.values(this.args)}get func(){const t=a.use_strict(this.code);return new Function(...this.names,\"cb_obj\",\"cb_data\",t)}execute(t,e={}){return this.func.apply(t,this.values.concat(t,e))}}s.CustomJS=i,i.__name__=\"CustomJS\",i.init_CustomJS()},\n",
+       "      function _(e,c,l){Object.defineProperty(l,\"__esModule\",{value:!0});const a=e(71);class n extends a.Model{constructor(e){super(e)}}l.Callback=n,n.__name__=\"Callback\"},\n",
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${e}`)}closePath(){this.__currentDefaultPath&&this.__addPathCommand(\"Z\")}lineTo(t,e){this.__currentPosition={x:t,y:e},this.__currentDefaultPath.indexOf(\"M\")>-1?this.__addPathCommand(`L ${t} ${e}`):this.__addPathCommand(`M ${t} ${e}`)}bezierCurveTo(t,e,s,i,r,n){this.__currentPosition={x:r,y:n},this.__addPathCommand(`C ${t} ${e} ${s} ${i} ${r} ${n}`)}quadraticCurveTo(t,e,s,i){this.__currentPosition={x:s,y:i},this.__addPathCommand(`Q ${t} ${e} ${s} ${i}`)}arcTo(t,e,s,i,r){if(null==this.__currentPosition)return;const n=this.__currentPosition.x,a=this.__currentPosition.y;if(r<0)throw new Error(\"IndexSizeError: The radius provided (\"+r+\") is negative.\");if(n===t&&a===e||t===s&&e===i||0===r)return void this.lineTo(t,e);function o([t,e]){const s=Math.sqrt(t**2+e**2);return[t/s,e/s]}const l=o([n-t,a-e]),h=o([s-t,i-e]);if(l[0]*h[1]==l[1]*h[0])return void this.lineTo(t,e);const 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r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i},!0);this.__closestGroupOrSvg().appendChild(r),this.__currentElement=r,this.__applyStyleToCurrentElement(\"fill\")}strokeRect(t,e,s,i){const r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i},!0);this.__closestGroupOrSvg().appendChild(r),this.__currentElement=r,this.__applyStyleToCurrentElement(\"stroke\")}__clearCanvas(){const t=this.__closestGroupOrSvg().getAttribute(\"transform\"),e=r(this.__root)[1],s=e.childNodes;for(let t=s.length-1;t>=0;t--)s[t]&&e.removeChild(s[t]);this.__currentElement=e,this.__groupStack=[],t&&this.__addTransform(t)}clearRect(t,e,s,i){if(0===t&&0===e&&s===this.width&&i===this.height)return void this.__clearCanvas();const r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i,fill:\"#FFFFFF\"},!0);this.__closestGroupOrSvg().appendChild(r)}createLinearGradient(t,e,s,i){const r=this.__createElement(\"linearGradient\",{id:n(this.__ids),x1:t+\"px\",x2:s+\"px\",y1:e+\"px\",y2:i+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(r),new c(r,this)}createRadialGradient(t,e,s,i,r,a){const o=this.__createElement(\"radialGradient\",{id:n(this.__ids),cx:i+\"px\",cy:r+\"px\",r:a+\"px\",fx:t+\"px\",fy:e+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(o),new c(o,this)}__parseFont(){const t=/^\\s*(?=(?:(?:[-a-z]+\\s*){0,2}(italic|oblique))?)(?=(?:(?:[-a-z]+\\s*){0,2}(small-caps))?)(?=(?:(?:[-a-z]+\\s*){0,2}(bold(?:er)?|lighter|[1-9]00))?)(?:(?:normal|\\1|\\2|\\3)\\s*){0,3}((?:xx?-)?(?:small|large)|medium|smaller|larger|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx]))(?:\\s*\\/\\s*(normal|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx])))?\\s*([-,\\'\\\"\\sa-z0-9]+?)\\s*$/i.exec(this.font),e={style:t[1]||\"normal\",size:t[4]||\"10px\",family:t[6]||\"sans-serif\",weight:t[3]||\"normal\",decoration:t[2]||\"normal\"};return\"underline\"===this.__fontUnderline&&(e.decoration=\"underline\"),null!=this.__fontHref&&(e.href=this.__fontHref),e}__wrapTextLink(t,e){if(t.href){const s=this.__createElement(\"a\");return s.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.href),s.appendChild(e),s}return e}__applyText(t,e,s,i){const r=this.__parseFont(),n=this.__closestGroupOrSvg(),l=this.__createElement(\"text\",{\"font-family\":r.family,\"font-size\":r.size,\"font-style\":r.style,\"font-weight\":r.weight,\"text-decoration\":r.decoration,x:e,y:s,\"text-anchor\":a(this.textAlign),\"dominant-baseline\":o(this.textBaseline)},!0);l.appendChild(this.__document.createTextNode(t)),this.__currentElement=l,this.__applyStyleToCurrentElement(i),n.appendChild(this.__wrapTextLink(r,l))}fillText(t,e,s){this.__applyText(t,e,s,\"fill\")}strokeText(t,e,s){this.__applyText(t,e,s,\"stroke\")}measureText(t){return this.__ctx.font=this.font,this.__ctx.measureText(t)}arc(t,e,s,i,r,n=!1){if(i===r)return;(i%=2*Math.PI)===(r%=2*Math.PI)&&(r=(r+2*Math.PI-.001*(n?-1:1))%(2*Math.PI));const a=t+s*Math.cos(r),o=e+s*Math.sin(r),l=t+s*Math.cos(i),h=e+s*Math.sin(i),c=n?0:1;let _=0,u=r-i;u<0&&(u+=2*Math.PI),_=n?u>Math.PI?0:1:u>Math.PI?1:0,this.moveTo(l,h);const d=s,p=s;this.__addPathCommand(`A ${d} ${p} 0 ${_} ${c} ${a} ${o}`),this.__currentPosition={x:a,y:o}}clip(){const t=this.__closestGroupOrSvg(),e=this.__createElement(\"clipPath\"),s=n(this.__ids),i=this.__createElement(\"g\");this.__applyCurrentDefaultPath(),t.removeChild(this.__currentElement),e.setAttribute(\"id\",s),e.appendChild(this.__currentElement),this.__defs.appendChild(e),t.setAttribute(\"clip-path\",`url(#${s})`),t.appendChild(i),this.__currentElement=i}drawImage(t,...e){let s,i,n,a,o,l,h,c;if(2==e.length)[s,i]=e,o=0,l=0,h=t.width,c=t.height,n=h,a=c;else if(4==e.length)[s,i,n,a]=e,o=0,l=0,h=t.width,c=t.height;else{if(8!==e.length)throw new Error(\"Inavlid number of arguments passed to drawImage: \"+arguments.length);[o,l,h,c,s,i,n,a]=e}const _=this.__closestGroupOrSvg(),d=\"translate(\"+s+\", \"+i+\")\";if(t instanceof u){const e=t.getSvg().cloneNode(!0);if(e.childNodes&&e.childNodes.length>1){const t=r(e)[0];for(;t.childNodes.length;){const e=r(t)[0].getAttribute(\"id\");this.__ids[e]=e,this.__defs.appendChild(r(t)[0])}const s=r(e)[1];if(s){const t=s.getAttribute(\"transform\");let e;e=t?t+\" \"+d:d,s.setAttribute(\"transform\",e),_.appendChild(s)}}}else if(t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__createElement(\"image\");if(e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\"),o||l||h!==t.width||c!==t.height){const e=this.__document.createElement(\"canvas\");e.width=n,e.height=a,e.getContext(\"2d\").drawImage(t,o,l,h,c,0,0,n,a),t=e}e.setAttribute(\"transform\",d);const s=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",s),_.appendChild(e)}else if(t instanceof HTMLCanvasElement){const e=this.__createElement(\"image\");e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\");const s=this.__document.createElement(\"canvas\");s.width=n,s.height=a;const i=s.getContext(\"2d\");i.imageSmoothingEnabled=!1,i.drawImage(t,o,l,h,c,0,0,n,a),t=s,e.setAttribute(\"transform\",d),e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.toDataURL()),_.appendChild(e)}}createPattern(t,e){const s=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),i=n(this.__ids);let r;if(s.setAttribute(\"id\",i),s.setAttribute(\"width\",\"\"+t.width),s.setAttribute(\"height\",\"\"+t.height),t instanceof HTMLCanvasElement||t instanceof HTMLImageElement||t instanceof SVGImageElement){r=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\"),r.setAttribute(\"width\",\"\"+t.width),r.setAttribute(\"height\",\"\"+t.height);const e=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");r.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",e),s.appendChild(r),this.__defs.appendChild(s)}else t instanceof u&&(s.appendChild(t.__root.childNodes[1]),this.__defs.appendChild(s));return new _(s,this)}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}}s.SVGRenderingContext2D=u,u.__name__=\"SVGRenderingContext2D\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(185),_=e(121),n=e(130),r=e(131),i=e(186),g=e(90),c=e(188);class h extends c.LayoutItem{constructor(e,t,s,a,_={},n={}){super(),this.x_scale=e,this.y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=n,this._configure_scales()}map_to_screen(e,t,s=\"default\",a=\"default\"){return[this.xscales[s].v_compute(e),this.yscales[a].v_compute(t)]}_get_ranges(e,t){return Object.assign(Object.assign({},t),{default:e})}_get_scales(e,t,s){const c={};for(const h in t){const o=t[h];if((o instanceof i.DataRange1d||o instanceof r.Range1d)&&!(e instanceof _.ContinuousScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);if(o instanceof g.FactorRange&&!(e instanceof a.CategoricalScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&o instanceof i.DataRange1d&&(o.scale_hint=\"log\");const l=e.clone();l.setv({source_range:o,target_range:s}),c[h]=l}return c}_configure_frame_ranges(){this._h_target=new r.Range1d({start:this._left.value,end:this._right.value}),this._v_target=new r.Range1d({start:this._bottom.value,end:this._top.value})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._xscales=this._get_scales(this.x_scale,this._x_ranges,this._h_target),this._yscales=this._get_scales(this.y_scale,this._y_ranges,this._v_target)}_update_scales(){this._configure_frame_ranges();for(const e in this._xscales){this._xscales[e].target_range=this._h_target}for(const e in this._yscales){this._yscales[e].target_range=this._v_target}}_set_geometry(e,t){super._set_geometry(e,t),this._update_scales()}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get xscales(){return this._xscales}get yscales(){return this._yscales}}s.CartesianFrame=h,h.__name__=\"CartesianFrame\"},\n",
+       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(122);class _ extends n.Scale{constructor(e){super(e)}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}t.CategoricalScale=_,_.__name__=\"CategoricalScale\"},\n",
+       "      function _(t,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=t(1),a=t(187),s=t(81),l=t(72),_=e.__importStar(t(18)),o=e.__importStar(t(88)),r=t(9);class h extends a.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}static init_DataRange1d(){this.define({start:[_.Number],end:[_.Number],range_padding:[_.Number,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[_.Boolean,!1],follow:[_.StartEnd],follow_interval:[_.Number],default_span:[_.Number,2],only_visible:[_.Boolean,!1]}),this.internal({scale_hint:[_.String,\"auto\"]})}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const t=this.names;let i=this.renderers;if(0==i.length)for(const t of this.plots){const n=t.renderers.filter(t=>t instanceof s.GlyphRenderer);i=i.concat(n)}t.length>0&&(i=i.filter(i=>r.includes(t,i.name))),l.logger.debug(`computed ${i.length} renderers for ${this}`);for(const t of i)l.logger.trace(\" - \"+t);return i}_compute_plot_bounds(t,i){let n=o.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=o.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=o.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return e<i*a?e=i*a:a=e/i,n.x1=s+.5*e,n.x0=s-.5*e,n.y1=l+.5*a,n.y0=l-.5*a,n}_compute_min_max(t,i){let n,e,a=o.empty();for(const i of t)a=o.union(a,i);return[n,e]=0==i?[a.x0,a.x1]:[a.y0,a.y1],[n,e]}_compute_range(t,i){const n=this.range_padding;let e,a;if(null!=this._initial_start&&(t=this._initial_start),null!=this._initial_end&&(i=this._initial_end),\"log\"==this.scale_hint){let s,_;if((isNaN(t)||!isFinite(t)||t<=0)&&(t=isNaN(i)||!isFinite(i)||i<=0?.1:i/100,l.logger.warn(\"could not determine minimum data value for log axis, DataRange1d using value \"+t)),(isNaN(i)||!isFinite(i)||i<=0)&&(i=isNaN(t)||!isFinite(t)||t<=0?10:100*t,l.logger.warn(\"could not determine maximum data value for log axis, DataRange1d using value \"+i)),i==t)_=this.default_span+.001,s=Math.log(t)/Math.log(10);else{let e,a;\"percent\"==this.range_padding_units?(e=Math.log(t)/Math.log(10),a=Math.log(i)/Math.log(10),_=(a-e)*(1+n)):(e=Math.log(t-n)/Math.log(10),a=Math.log(i+n)/Math.log(10),_=a-e),s=(e+a)/2}e=10**(s-_/2),a=10**(s+_/2)}else{let s;s=i==t?this.default_span:\"percent\"==this.range_padding_units?(i-t)*(1+n):i-t+2*n;const l=(i+t)/2;e=l-s/2,a=l+s/2}let s=1;this.flipped&&([e,a]=[a,e],s=-1);const _=this.follow_interval;return null!=_&&Math.abs(e-a)>_&&(\"start\"==this.follow?a=e+s*_:\"end\"==this.follow&&(e=a-s*_)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);const[h,d]=[this.start,this.end];if(o!=h||r!=d){const t={};o!=h&&(t.start=o),r!=d&&(t.end=r),this.setv(t)}\"auto\"==this.bounds&&this.setv({bounds:[o,r]},{silent:!0}),this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=h,h.__name__=\"DataRange1d\",h.init_DataRange1d()},\n",
+       "      function _(e,a,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),r=e(91),s=n.__importStar(e(18));class _ extends r.Range{constructor(e){super(e)}static init_DataRange(){this.define({names:[s.Array,[]],renderers:[s.Array,[]]})}}t.DataRange=_,_.__name__=\"DataRange\",_.init_DataRange()},\n",
+       "      function _(a,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=a(189);t.Sizeable=e.Sizeable;var r=a(190);t.Layoutable=r.Layoutable,t.LayoutItem=r.LayoutItem;var n=a(191);t.HStack=n.HStack,t.VStack=n.VStack,t.AnchorLayout=n.AnchorLayout;var u=a(192);t.Grid=u.Grid,t.Row=u.Row,t.Column=u.Column;var c=a(193);t.ContentBox=c.ContentBox,t.VariadicBox=c.VariadicBox},\n",
+       "      function _(h,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const{min:e,max:w}=Math;class d{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new d({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new d({width:h!=1/0?w(this.width,h):this.width,height:t!=1/0?w(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=w(this.width,h),this.height=w(this.height,t)}narrowed_to({width:h,height:t}){return new d({width:e(this.width,h),height:e(this.height,t)})}narrow_to({width:h,height:t}){this.width=e(this.width,h),this.height=e(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,s=this.height+i+e;return new d({width:w,height:s})}shrink_by({left:h,right:t,top:i,bottom:e}){const s=w(this.width-h-t,0),n=w(this.height-i-e,0);return new d({width:s,height:n})}map(h,t){return new d({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=d,d.__name__=\"Sizeable\"},\n",
+       "      function _(i,t,h){Object.defineProperty(h,\"__esModule\",{value:!0});const e=i(189),s=i(88),{min:n,max:g,round:a}=Math;class r{constructor(){this._bbox=new s.BBox,this._inner_bbox=new s.BBox;const i=this;this._top={get value(){return i.bbox.top}},this._left={get value(){return i.bbox.left}},this._width={get value(){return i.bbox.width}},this._height={get value(){return i.bbox.height}},this._right={get value(){return i.bbox.right}},this._bottom={get value(){return i.bbox.bottom}},this._hcenter={get value(){return i.bbox.hcenter}},this._vcenter={get value(){return i.bbox.vcenter}}}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set_sizing(i){const t=i.width_policy||\"fit\",h=i.width,e=null!=i.min_width?i.min_width:0,s=null!=i.max_width?i.max_width:1/0,n=i.height_policy||\"fit\",g=i.height,a=null!=i.min_height?i.min_height:0,r=null!=i.max_height?i.max_height:1/0,l=i.aspect,_=i.margin||{top:0,right:0,bottom:0,left:0},d=!1!==i.visible,o=i.halign||\"start\",u=i.valign||\"start\";this._sizing={width_policy:t,min_width:e,width:h,max_width:s,height_policy:n,min_height:a,height:g,max_height:r,aspect:l,margin:_,visible:d,halign:o,valign:u,size:{width:h,height:g},min_size:{width:e,height:a},max_size:{width:s,height:r}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,t||i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:s,height_policy:n}=this.sizing,g=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=s&&\"fixed\"!=n)if(s==n){const s=t,n=a(t/e),g=a(h*e),r=h;Math.abs(i.width-s)+Math.abs(i.height-n)<=Math.abs(i.width-g)+Math.abs(i.height-r)?(t=s,h=n):(t=g,h=r)}else g(s,n)?h=a(t/e):t=a(h*e);else\"fixed\"==s?h=a(t/e):\"fixed\"==n&&(t=a(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,s=new e.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(s),g=this.clip_size(n),a=t(g.width),r=h(g.height),l=this.apply_aspect(s,{width:a,height:r});return Object.assign(Object.assign({},n),l)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new s.BBox({left:0,top:0,width:h,height:e});let g=void 0;if(null!=t.inner){const{left:i,top:n,right:a,bottom:r}=t.inner;g=new s.BBox({left:i,top:n,right:h-a,bottom:e-r})}this.set_geometry(n,g)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_width(i){return g(this.sizing.min_width,n(i,this.sizing.max_width))}clip_height(i){return g(this.sizing.min_height,n(i,this.sizing.max_height))}clip_size({width:i,height:t}){return{width:this.clip_width(i),height:this.clip_height(t)}}}h.Layoutable=r,r.__name__=\"Layoutable\";class l extends r{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;let e,s;if(i.width==1/0)e=null!=this.sizing.width?this.sizing.width:0;else switch(t){case\"fixed\":e=null!=this.sizing.width?this.sizing.width:0;break;case\"min\":e=null!=this.sizing.width?n(i.width,this.sizing.width):0;break;case\"fit\":e=null!=this.sizing.width?n(i.width,this.sizing.width):i.width;break;case\"max\":e=null!=this.sizing.width?g(i.width,this.sizing.width):i.width}if(i.height==1/0)s=null!=this.sizing.height?this.sizing.height:0;else switch(h){case\"fixed\":s=null!=this.sizing.height?this.sizing.height:0;break;case\"min\":s=null!=this.sizing.height?n(i.height,this.sizing.height):0;break;case\"fit\":s=null!=this.sizing.height?n(i.height,this.sizing.height):i.height;break;case\"max\":s=null!=this.sizing.height?g(i.height,this.sizing.height):i.height}return{width:e,height:s}}}h.LayoutItem=l,l.__name__=\"LayoutItem\";class _ extends r{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=_,_.__name__=\"ContentLayoutable\"},\n",
+       "      function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const o=t(190),r=t(88);class i extends o.Layoutable{constructor(){super(...arguments),this.children=[]}}h.Stack=i,i.__name__=\"Stack\";class s extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e+=o.width,h=Math.max(h,o.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{top:h,bottom:o}=t;let{left:i}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({left:i,width:e,top:h,bottom:o})),i+=e}}}h.HStack=s,s.__name__=\"HStack\";class n extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e=Math.max(e,o.width),h+=o.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{left:h,right:o}=t;let{top:i}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({top:i,height:e,left:h,right:o})),i+=e}}}h.VStack=n,n.__name__=\"VStack\";class c extends o.Layoutable{constructor(){super(...arguments),this.children=[]}_measure(t){let e=0,h=0;for(const{layout:o}of this.children){const r=o.measure(t);e=Math.max(e,r.width),h=Math.max(h,r.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);for(const{layout:e,anchor:h,margin:o}of this.children){const{left:i,right:s,top:n,bottom:c,hcenter:a,vcenter:_}=t,{width:g,height:d}=e.measure(t);let m;switch(h){case\"top_left\":m=new r.BBox({left:i+o,top:n+o,width:g,height:d});break;case\"top_center\":m=new r.BBox({hcenter:a,top:n+o,width:g,height:d});break;case\"top_right\":m=new r.BBox({right:s-o,top:n+o,width:g,height:d});break;case\"bottom_right\":m=new r.BBox({right:s-o,bottom:c-o,width:g,height:d});break;case\"bottom_center\":m=new r.BBox({hcenter:a,bottom:c-o,width:g,height:d});break;case\"bottom_left\":m=new r.BBox({left:i+o,bottom:c-o,width:g,height:d});break;case\"center_left\":m=new r.BBox({left:i+o,vcenter:_,width:g,height:d});break;case\"center\":m=new r.BBox({hcenter:a,vcenter:_,width:g,height:d});break;case\"center_right\":m=new r.BBox({right:s-o,vcenter:_,width:g,height:d})}e.set_geometry(m)}}}h.AnchorLayout=c,c.__name__=\"AnchorLayout\"},\n",
+       "      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(189),o=t(190),n=t(8),r=t(88),h=t(9),{max:l,round:c}=Math;class a{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}a.__name__=\"DefaultMap\";class g{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=l(this._nrows,s+1),this._ncols=l(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter(({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1).map(({data:t})=>t)}row(t){return this._items.filter(({span:i})=>i.r0<=t&&t<=i.r1).map(({data:t})=>t)}col(t){return this._items.filter(({span:i})=>i.c0<=t&&t<=i.c1).map(({data:t})=>t)}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new g;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}g.__name__=\"Container\";class p extends o.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0,this.absolute=!1}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}_init(){super._init();const t=new g;for(const{layout:i,row:s,col:e,row_span:o,col_span:n}of this.items)if(i.sizing.visible){const r=s,h=e,l=s+(null!=o?o:1)-1,c=e+(null!=n?n:1)-1;t.add({r0:r,c0:h,r1:l,c1:c},i)}const{nrows:i,ncols:s}=t,e=new Array(i);for(let s=0;s<i;s++){const i=(()=>{const t=n.isPlainObject(this.rows)?this.rows[s]||this.rows[\"*\"]:this.rows;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",height:t}:n.isString(t)?{policy:t}:t})(),o=i.align||\"auto\";if(\"fixed\"==i.policy)e[s]={policy:\"fixed\",height:i.height,align:o};else if(\"min\"==i.policy)e[s]={policy:\"min\",align:o};else if(\"fit\"==i.policy||\"max\"==i.policy)e[s]={policy:i.policy,flex:i.flex||1,align:o};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");h.some(t.row(s),t=>t.is_height_expanding())?e[s]={policy:\"max\",flex:1,align:o}:e[s]={policy:\"min\",align:o}}}const o=new Array(s);for(let i=0;i<s;i++){const s=(()=>{const t=n.isPlainObject(this.cols)?this.cols[i]||this.cols[\"*\"]:this.cols;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",width:t}:n.isString(t)?{policy:t}:t})(),e=s.align||\"auto\";if(\"fixed\"==s.policy)o[i]={policy:\"fixed\",width:s.width,align:e};else if(\"min\"==s.policy)o[i]={policy:\"min\",align:e};else if(\"fit\"==s.policy||\"max\"==s.policy)o[i]={policy:s.policy,flex:s.flex||1,align:e};else{if(\"auto\"!=s.policy)throw new Error(\"unrechable\");h.some(t.col(i),t=>t.is_width_expanding())?o[i]={policy:\"max\",flex:1,align:e}:o[i]={policy:\"min\",align:e}}}const[r,l]=n.isNumber(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:t,nrows:i,ncols:s,rows:e,cols:o,rspacing:r,cspacing:l}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:h.sum(t)+(s-1)*o,width:h.sum(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:o,rows:n,cols:r,rspacing:h,cspacing:a}=this._state,p=new Array(s);for(let t=0;t<s;t++){const i=n[t];p[t]=\"fixed\"==i.policy?i.height:0}const _=new Array(o);for(let t=0;t<o;t++){const i=r[t];_[t]=\"fixed\"==i.policy?i.width:0}const f=new g;return i.foreach((i,s)=>{const{r0:o,c0:g,r1:d,c1:w}=i,u=(d-o)*h,m=(w-g)*a;let y=0;for(let i=o;i<=d;i++)y+=t(i,g).height;y+=u;let x=0;for(let i=g;i<=w;i++)x+=t(o,i).width;x+=m;const b=s.measure({width:x,height:y});f.add(i,{layout:s,size_hint:b});const z=new e.Sizeable(b).grow_by(s.sizing.margin);z.height-=u,z.width-=m;const j=[];for(let t=o;t<=d;t++){const i=n[t];\"fixed\"==i.policy?z.height-=i.height:j.push(t)}if(z.height>0){const t=c(z.height/j.length);for(const i of j)p[i]=l(p[i],t)}const O=[];for(let t=g;t<=w;t++){const i=r[t];\"fixed\"==i.policy?z.width-=i.width:O.push(t)}if(z.width>0){const t=c(z.width/O.length);for(const i of O)_[i]=l(_[i],t)}}),{size:this._measure_totals(p,_),row_heights:p,col_widths:_,size_hints:f}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:r}=this._state,h=this._measure_cells((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}});let a;a=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:h.size.height;let g,p=0;for(let t=0;t<i;t++){const i=e[t];\"fit\"==i.policy||\"max\"==i.policy?p+=i.flex:a-=h.row_heights[t]}if(a-=(i-1)*n,0!=p&&a>0)for(let t=0;t<i;t++){const i=e[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(a*(i.flex/p));a-=s,h.row_heights[t]=s,p-=i.flex}}else if(a<0){let t=0;for(let s=0;s<i;s++){\"fixed\"!=e[s].policy&&t++}let s=-a;for(let o=0;o<i;o++){if(\"fixed\"!=e[o].policy){const i=h.row_heights[o],e=c(s/t);h.row_heights[o]=l(i-e,0),s-=e>i?i:e,t--}}}g=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:h.size.width;let _=0;for(let t=0;t<s;t++){const i=o[t];\"fit\"==i.policy||\"max\"==i.policy?_+=i.flex:g-=h.col_widths[t]}if(g-=(s-1)*r,0!=_&&g>0)for(let t=0;t<s;t++){const i=o[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(g*(i.flex/_));g-=s,h.col_widths[t]=s,_-=i.flex}}else if(g<0){let t=0;for(let i=0;i<s;i++){\"fixed\"!=o[i].policy&&t++}let i=-g;for(let e=0;e<s;e++){if(\"fixed\"!=o[e].policy){const s=h.col_widths[e],o=c(i/t);h.col_widths[e]=l(s-o,0),i-=o>s?s:o,t--}}}const{row_heights:f,col_widths:d,size_hints:w}=this._measure_cells((t,i)=>({width:h.col_widths[i],height:h.row_heights[t]}));return{size:this._measure_totals(f,d),row_heights:f,col_widths:d,size_hints:w}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:h,col_widths:g,size_hints:p}=this._measure_grid(t),_=this._state.rows.map((t,i)=>Object.assign(Object.assign({},t),{top:0,height:h[i],get bottom(){return this.top+this.height}})),f=this._state.cols.map((t,i)=>Object.assign(Object.assign({},t),{left:0,width:g[i],get right(){return this.left+this.width}})),d=p.map((t,i)=>Object.assign(Object.assign({},i),{outer:new r.BBox,inner:new r.BBox}));for(let i=0,e=this.absolute?t.top:0;i<s;i++){const t=_[i];t.top=e,e+=t.height+o}for(let i=0,s=this.absolute?t.left:0;i<e;i++){const t=f[i];t.left=s,s+=t.width+n}d.foreach(({r0:t,c0:i,r1:s,c1:e},h)=>{const{layout:l,size_hint:a}=h,{sizing:g}=l,{width:p,height:d}=a,w=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=f[e].width;return s}(i,e),u=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=_[e].height;return s}(t,s),m=i==e&&\"auto\"!=f[i].align?f[i].align:g.halign,y=t==s&&\"auto\"!=_[t].align?_[t].align:g.valign;let x=f[i].left;\"start\"==m?x+=g.margin.left:\"center\"==m?x+=c((w-p)/2):\"end\"==m&&(x+=w-g.margin.right-p);let b=_[t].top;\"start\"==y?b+=g.margin.top:\"center\"==y?b+=c((u-d)/2):\"end\"==y&&(b+=u-g.margin.bottom-d),h.outer=new r.BBox({left:x,top:b,width:p,height:d})});const w=_.map(()=>({start:new a(()=>0),end:new a(()=>0)})),u=f.map(()=>({start:new a(()=>0),end:new a(()=>0)}));d.foreach(({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:r}=o;null!=r&&(w[t].start.apply(n.top,t=>l(t,r.top)),w[s].end.apply(_[s].bottom-n.bottom,t=>l(t,r.bottom)),u[i].start.apply(n.left,t=>l(t,r.left)),u[e].end.apply(f[e].right-n.right,t=>l(t,r.right)))}),d.foreach(({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:h}=o;function l({left:t,right:i,top:s,bottom:e}){const o=h.width-t-i,n=h.height-s-e;return new r.BBox({left:t,top:s,width:o,height:n})}if(null!=n.inner){let r=l(n.inner);if(!1!==n.align){const o=w[t].start.get(h.top),n=w[s].end.get(_[s].bottom-h.bottom),c=u[i].start.get(h.left),a=u[e].end.get(f[e].right-h.right);try{r=l({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=r}else o.inner=h}),d.foreach((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)})}}s.Grid=p,p.__name__=\"Grid\";class _ extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:0,col:i})),this.rows=\"fit\"}}s.Row=_,_.__name__=\"Row\";class f extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:i,col:0})),this.cols=\"fit\"}}s.Column=f,f.__name__=\"Column\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(190),i=e(189),a=e(68);class c extends n.ContentLayoutable{constructor(e){super(),this.content_size=a.unsized(e,()=>new i.Sizeable(a.size(e)))}_content_size(){return this.content_size}}s.ContentBox=c,c.__name__=\"ContentBox\";class o extends n.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new i.Sizeable(e).bounded_to(this.sizing.size);return a.sized(this.el,t,()=>{const e=new i.Sizeable(a.content_size(this.el)),{border:t,padding:s}=a.extents(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)})}}s.VariadicBox=o,o.__name__=\"VariadicBox\";class r extends o{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=r,r.__name__=\"CachedVariadicBox\"},\n",
+       "      function _(e,r,u){Object.defineProperty(u,\"__esModule\",{value:!0});var a=e(195);u.Expression=a.Expression;var n=e(196);u.Stack=n.Stack;var o=e(197);u.CumSum=o.CumSum},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(71);class i extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}v_compute(e){this._connected.has(e)||(this.connect(e.change,()=>this._result.delete(e)),this.connect(e.patching,()=>this._result.delete(e)),this.connect(e.streaming,()=>this._result.delete(e)),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=i,i.__name__=\"Expression\"},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),o=t(195),r=i.__importStar(t(18));class s extends o.Expression{constructor(t){super(t)}static init_Stack(){this.define({fields:[r.Array,[]]})}_v_compute(t){var e;const n=null!==(e=t.get_length())&&void 0!==e?e:0,i=new Float64Array(n);for(const e of this.fields){const o=t.data[e];if(null!=o)for(let t=0,e=Math.min(n,o.length);t<e;t++)i[t]+=o[t]}return i}}n.Stack=s,s.__name__=\"Stack\",s.init_Stack()},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),u=e(195),o=i.__importStar(e(18));class r extends u.Expression{constructor(e){super(e)}static init_CumSum(){this.define({field:[o.String],include_zero:[o.Boolean,!1]})}_v_compute(e){const t=new Float64Array(e.get_length()||0),n=e.data[this.field],i=this.include_zero?1:0;t[0]=this.include_zero?0:n[0];for(let e=1;e<t.length;e++)t[e]=t[e-1]+n[e-i];return t}}n.CumSum=r,r.__name__=\"CumSum\",r.init_CumSum()},\n",
+       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});var l=e(199);t.BooleanFilter=l.BooleanFilter;var i=e(201);t.CustomJSFilter=i.CustomJSFilter;var o=e(200);t.Filter=o.Filter;var F=e(202);t.GroupFilter=F.GroupFilter;var a=e(203);t.IndexFilter=a.IndexFilter},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(200),i=o.__importStar(e(18)),r=e(72),a=e(9),s=e(8);class g extends l.Filter{constructor(e){super(e)}static init_BooleanFilter(){this.define({booleans:[i.Array,null]})}compute_indices(e){const n=this.booleans;return null!=n&&n.length>0?a.every(n,s.isBoolean)?(n.length!==e.get_length()&&r.logger.warn(this+\": length of booleans doesn't match data source\"),a.range(0,n.length).filter(e=>!0===n[e])):(r.logger.warn(this+\": booleans should be array of booleans, defaulting to no filtering\"),null):(null!=n&&0==n.length?r.logger.warn(this+\": booleans is empty, defaulting to no filtering\"):r.logger.warn(this+\": booleans was not set, defaulting to no filtering\"),null)}}t.BooleanFilter=g,g.__name__=\"BooleanFilter\",g.init_BooleanFilter()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),l=i.__importStar(e(18)),o=e(8),s=e(9),a=e(72);class f extends n.Model{constructor(e){super(e)}static init_Filter(){this.define({filter:[l.Array,null]})}compute_indices(e){const t=this.filter;return null!=t?o.isArrayOf(t,o.isBoolean)?s.range(0,t.length).filter(e=>!0===t[e]):o.isArrayOf(t,o.isInteger)?t:(a.logger.warn(this+\": filter should either be array of only booleans or only integers, defaulting to no filtering\"),null):(a.logger.warn(this+\": filter was not set to be an array, defaulting to no filtering\"),null)}}r.Filter=f,f.__name__=\"Filter\",f.init_Filter()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),r=t(200),n=i.__importStar(t(18)),u=t(17),c=t(24);class o extends r.Filter{constructor(t){super(t)}static init_CustomJSFilter(){this.define({args:[n.Any,{}],code:[n.String,\"\"]})}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const t=c.use_strict(this.code);return new Function(...this.names,\"source\",t)}compute_indices(t){return this.filter=this.func(...this.values,t),super.compute_indices(t)}}s.CustomJSFilter=o,o.__name__=\"CustomJSFilter\",o.init_CustomJSFilter()},\n",
+       "      function _(t,n,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),r=t(200),o=e.__importStar(t(18)),u=t(72),l=t(9);class s extends r.Filter{constructor(t){super(t),this.indices=null}static init_GroupFilter(){this.define({column_name:[o.String],group:[o.String]})}compute_indices(t){const n=t.get_column(this.column_name);return null==n?(u.logger.warn(\"group filter: groupby column not found in data source\"),null):(this.indices=l.range(0,t.get_length()||0).filter(t=>n[t]===this.group),0===this.indices.length&&u.logger.warn(`group filter: group '${this.group}' did not match any values in column '${this.column_name}'`),this.indices)}}i.GroupFilter=s,s.__name__=\"GroupFilter\",s.init_GroupFilter()},\n",
+       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),r=e(200),s=t.__importStar(e(18)),l=e(72),d=e(8),o=e(9);class c extends r.Filter{constructor(e){super(e)}static init_IndexFilter(){this.define({indices:[s.Array,null]})}compute_indices(e){return null!=this.indices?o.every(this.indices,d.isInteger)?this.indices:(l.logger.warn(this+\": indices should be array of integers, defaulting to no filtering\"),null):(l.logger.warn(this+\": indices was not set, defaulting to no filtering\"),null)}}n.IndexFilter=c,c.__name__=\"IndexFilter\",c.init_IndexFilter()},\n",
+       "      function _(r,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});var e=r(113);a.BasicTickFormatter=e.BasicTickFormatter;var c=r(154);a.CategoricalTickFormatter=c.CategoricalTickFormatter;var i=r(158);a.DatetimeTickFormatter=i.DatetimeTickFormatter;var o=r(205);a.FuncTickFormatter=o.FuncTickFormatter;var m=r(171);a.LogTickFormatter=m.LogTickFormatter;var F=r(174);a.MercatorTickFormatter=F.MercatorTickFormatter;var k=r(206);a.NumeralTickFormatter=k.NumeralTickFormatter;var T=r(207);a.PrintfTickFormatter=T.PrintfTickFormatter;var v=r(114);a.TickFormatter=v.TickFormatter},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),s=t(114),i=r.__importStar(t(18)),c=t(17),a=t(24);class u extends s.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map((t,e,r)=>n(t,e,r,...this.values))}}n.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n",
+       "      function _(r,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=r(1),o=e.__importStar(r(161)),a=r(114),i=e.__importStar(r(18));class u extends a.TickFormatter{constructor(r){super(r)}static init_NumeralTickFormatter(){this.define({format:[i.String,\"0,0\"],language:[i.String,\"en\"],rounding:[i.RoundingFunction,\"round\"]})}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,t){const{format:n,language:e,_rounding_fn:a}=this;return r.map(r=>o.format(r,n,e,a))}}n.NumeralTickFormatter=u,u.__name__=\"NumeralTickFormatter\",u.init_NumeralTickFormatter()},\n",
+       "      function _(t,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),n=t(114),o=t(160),a=e.__importStar(t(18));class c extends n.TickFormatter{constructor(t){super(t)}static init_PrintfTickFormatter(){this.define({format:[a.String,\"%s\"]})}doFormat(t,r){return t.map(t=>o.sprintf(this.format,t))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n",
+       "      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var v=a(209);r.AnnularWedge=v.AnnularWedge;var l=a(210);r.Annulus=l.Annulus;var t=a(211);r.Arc=t.Arc;var i=a(212);r.Bezier=i.Bezier;var n=a(213);r.Circle=n.Circle;var u=a(214);r.CenterRotatable=u.CenterRotatable;var c=a(215);r.Ellipse=c.Ellipse;var g=a(216);r.EllipseOval=g.EllipseOval;var A=a(89);r.Glyph=A.Glyph;var p=a(95);r.HArea=p.HArea;var s=a(217);r.HBar=s.HBar;var d=a(219);r.HexTile=d.HexTile;var R=a(220);r.Image=R.Image;var o=a(222);r.ImageRGBA=o.ImageRGBA;var y=a(223);r.ImageURL=y.ImageURL;var h=a(83);r.Line=h.Line;var m=a(225);r.MultiLine=m.MultiLine;var B=a(226);r.MultiPolygons=B.MultiPolygons;var P=a(227);r.Oval=P.Oval;var G=a(94);r.Patch=G.Patch;var H=a(228);r.Patches=H.Patches;var I=a(229);r.Quad=I.Quad;var L=a(230);r.Quadratic=L.Quadratic;var M=a(231);r.Ray=M.Ray;var O=a(232);r.Rect=O.Rect;var x=a(233);r.Segment=x.Segment;var C=a(234);r.Step=C.Step;var E=a(235);r.Text=E.Text;var Q=a(97);r.VArea=Q.VArea;var S=a(236);r.VBar=S.VBar;var T=a(237);r.Wedge=T.Wedge;var V=a(84);r.XYGlyph=V.XYGlyph},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),o=e(10),h=e(79);class u extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius,this._angle=new Float32Array(this._start_angle.length);for(let e=0,t=this._start_angle.length;e<t;e++)this._angle[e]=this._end_angle[e]-this._start_angle[e]}_render(e,t,{sx:s,sy:i,_start_angle:r,_angle:n,sinner_radius:a,souter_radius:_}){const o=this.model.properties.direction.value();for(const h of t)isNaN(s[h]+i[h]+a[h]+_[h]+r[h]+n[h])||(e.translate(s[h],i[h]),e.rotate(r[h]),e.moveTo(_[h],0),e.beginPath(),e.arc(0,0,_[h],0,n[h],o),e.rotate(n[h]),e.lineTo(a[h],0),e.arc(0,0,a[h],0,-n[h],!o),e.closePath(),e.rotate(-n[h]-r[h]),e.translate(-s[h],-i[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,h),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,h),e.stroke()))}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,a,_,u;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,_=i+this.max_outer_radius,a=r-this.max_outer_radius,u=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,_]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,o=s+this.max_outer_radius;[a,u]=this.renderer.yscale.r_invert(r,o)}const d=[];for(const e of this.index.indices({x0:n,x1:_,y0:a,y1:u})){const t=this.souter_radius[e]**2,s=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[_,o]=this.renderer.yscale.r_compute(r,this._y[e]),h=(n-a)**2+(_-o)**2;h<=t&&h>=s&&d.push([e,h])}const l=this.model.properties.direction.value(),c=[];for(const[e,i]of d){const r=Math.atan2(s-this.sy[e],t-this.sx[e]);o.angle_between(-r,-this._start_angle[e],-this._end_angle[e],l)&&c.push([e,i])}return h.Selection.from_hits(c)}draw_legend_for_index(e,t,s){n.generic_area_legend(this.visuals,e,t,s)}_scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+t*Math.cos(s),y:this.sy[e]+t*Math.sin(s)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}s.AnnularWedgeView=u,u.__name__=\"AnnularWedgeView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=u,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],inner_radius:[_.DistanceSpec],outer_radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.AnnularWedge=d,d.__name__=\"AnnularWedge\",d.init_AnnularWedge()},\n",
+       "      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(18)),_=s(28),u=s(79);class o extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius}_render(s,i,{sx:e,sy:t,sinner_radius:r,souter_radius:a}){for(const n of i)if(!isNaN(e[n]+t[n]+r[n]+a[n])){if(this.visuals.fill.doit){if(this.visuals.fill.set_vectorize(s,n),s.beginPath(),_.is_ie)for(const i of[!1,!0])s.arc(e[n],t[n],r[n],0,Math.PI,i),s.arc(e[n],t[n],a[n],Math.PI,0,!i);else s.arc(e[n],t[n],r[n],0,2*Math.PI,!0),s.arc(e[n],t[n],a[n],2*Math.PI,0,!1);s.fill()}this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),s.beginPath(),s.arc(e[n],t[n],r[n],0,2*Math.PI),s.moveTo(e[n]+a[n],t[n]),s.arc(e[n],t[n],a[n],0,2*Math.PI),s.stroke())}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,_,o;if(\"data\"==this.model.properties.outer_radius.units)a=t-this.max_outer_radius,_=t+this.max_outer_radius,n=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const s=i-this.max_outer_radius,t=i+this.max_outer_radius;[a,_]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_outer_radius,u=e+this.max_outer_radius;[n,o]=this.renderer.yscale.r_invert(r,u)}const h=[];for(const s of this.index.indices({x0:a,x1:_,y0:n,y1:o})){const i=this.souter_radius[s]**2,e=this.sinner_radius[s]**2,[a,n]=this.renderer.xscale.r_compute(t,this._x[s]),[_,u]=this.renderer.yscale.r_compute(r,this._y[s]),o=(a-n)**2+(_-u)**2;o<=i&&o>=e&&h.push([s,o])}return u.Selection.from_hits(h)}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,_=new Array(n);_[a]=(i+t)/2;const u=new Array(n);u[a]=(e+r)/2;const o=.5*Math.min(Math.abs(t-i),Math.abs(r-e)),h=new Array(n);h[a]=.4*o;const d=new Array(n);d[a]=.8*o,this._render(s,[a],{sx:_,sy:u,sinner_radius:h,souter_radius:d})}}e.AnnulusView=o,o.__name__=\"AnnulusView\";class h extends r.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=o,this.mixins([a.LineVector,a.FillVector]),this.define({inner_radius:[n.DistanceSpec],outer_radius:[n.DistanceSpec]})}}e.Annulus=h,h.__name__=\"Annulus\",h.init_Annulus()},\n",
+       "      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(1),r=e(84),n=e(92),a=e(23),_=t.__importStar(e(18));class c extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,i,{sx:s,sy:t,sradius:r,_start_angle:n,_end_angle:a}){if(this.visuals.line.doit){const _=this.model.properties.direction.value();for(const c of i)isNaN(s[c]+t[c]+r[c]+n[c]+a[c])||(e.beginPath(),e.arc(s[c],t[c],r[c],n[c],a[c],_),this.visuals.line.set_vectorize(e,c),e.stroke())}}draw_legend_for_index(e,i,s){n.generic_line_legend(this.visuals,e,i,s)}}s.ArcView=c,c.__name__=\"ArcView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=c,this.mixins(a.LineVector),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.Arc=d,d.__name__=\"Arc\",d.init_Arc()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),n=t(85),c=t(89),o=t(92);function r(t,e,i,s,n,c,o,r){const h=[],_=[[],[]];for(let _=0;_<=2;_++){let a,x,l;if(0===_?(x=6*t-12*i+6*n,a=-3*t+9*i-9*n+3*o,l=3*i-3*t):(x=6*e-12*s+6*c,a=-3*e+9*s-9*c+3*r,l=3*s-3*e),Math.abs(a)<1e-12){if(Math.abs(x)<1e-12)continue;const t=-l/x;0<t&&t<1&&h.push(t);continue}const y=x*x-4*l*a,u=Math.sqrt(y);if(y<0)continue;const d=(-x+u)/(2*a);0<d&&d<1&&h.push(d);const f=(-x-u)/(2*a);0<f&&f<1&&h.push(f)}let a=h.length;const x=a;for(;a--;){const x=h[a],l=1-x,y=l*l*l*t+3*l*l*x*i+3*l*x*x*n+x*x*x*o;_[0][a]=y;const u=l*l*l*e+3*l*l*x*s+3*l*x*x*c+x*x*x*r;_[1][a]=u}return _[0][x]=t,_[1][x]=e,_[0][x+1]=o,_[1][x+1]=r,[Math.min(..._[0]),Math.max(..._[1]),Math.max(..._[0]),Math.min(..._[1])]}class h extends c.GlyphView{_index_data(){const t=[];for(let e=0,i=this._x0.length;e<i;e++){if(isNaN(this._x0[e]+this._x1[e]+this._y0[e]+this._y1[e]+this._cx0[e]+this._cy0[e]+this._cx1[e]+this._cy1[e]))continue;const[i,s,n,c]=r(this._x0[e],this._y0[e],this._x1[e],this._y1[e],this._cx0[e],this._cy0[e],this._cx1[e],this._cy1[e]);t.push({x0:i,y0:s,x1:n,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sx0:i,sy0:s,sx1:n,sy1:c,scx0:o,scy0:r,scx1:h,scy1:_}){if(this.visuals.line.doit)for(const a of e)isNaN(i[a]+s[a]+n[a]+c[a]+o[a]+r[a]+h[a]+_[a])||(t.beginPath(),t.moveTo(i[a],s[a]),t.bezierCurveTo(o[a],r[a],h[a],_[a],n[a],c[a]),this.visuals.line.set_vectorize(t,a),t.stroke())}draw_legend_for_index(t,e,i){o.generic_line_legend(this.visuals,t,e,i)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}i.BezierView=h,h.__name__=\"BezierView\";class _ extends c.Glyph{constructor(t){super(t)}static init_Bezier(){this.prototype.default_view=h,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx0\",\"cy0\"],[\"cx1\",\"cy1\"]]),this.mixins(s.LineVector)}}i.Bezier=_,_.__name__=\"Bezier\",_.init_Bezier()},\n",
+       "      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(93)),h=t.__importStar(s(18)),d=s(9),_=s(12),l=s(79);class c extends r.XYGlyphView{_map_data(){if(null!=this._radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this._radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.max(s,i[e]));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.min(s,i[e]));break}}else this.sradius=this._radius,this.max_size=2*this.max_radius;else this.sradius=_.map(this._size,s=>s/2)}_mask_data(){const[s,i]=this.renderer.plot_view.frame.bbox.ranges;let e,t,r,a;if(null!=this._radius&&\"data\"==this.model.properties.radius.units){const n=s.start,h=s.end;[e,r]=this.renderer.xscale.r_invert(n,h),e-=this.max_radius,r+=this.max_radius;const d=i.start,_=i.end;[t,a]=this.renderer.yscale.r_invert(d,_),t-=this.max_radius,a+=this.max_radius}else{const n=s.start-this.max_size,h=s.end+this.max_size;[e,r]=this.renderer.xscale.r_invert(n,h);const d=i.start-this.max_size,_=i.end+this.max_size;[t,a]=this.renderer.yscale.r_invert(d,_)}return this.index.indices({x0:e,x1:r,y0:t,y1:a})}_render(s,i,{sx:e,sy:t,sradius:r}){for(const a of i)isNaN(e[a]+t[a]+r[a])||(s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,a),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.stroke()))}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,h,d;if(null!=this._radius&&\"data\"==this.model.properties.radius.units)a=t-this.max_radius,n=t+this.max_radius,h=r-this.max_radius,d=r+this.max_radius;else{const s=i-this.max_size,t=i+this.max_size;[a,n]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size,_=e+this.max_size;[h,d]=this.renderer.yscale.r_invert(r,_)}const _=this.index.indices({x0:a,x1:n,y0:h,y1:d}),c=[];if(null!=this._radius&&\"data\"==this.model.properties.radius.units)for(const s of _){const i=this.sradius[s]**2,[e,a]=this.renderer.xscale.r_compute(t,this._x[s]),[n,h]=this.renderer.yscale.r_compute(r,this._y[s]),d=(e-a)**2+(n-h)**2;d<=i&&c.push([s,d])}else for(const s of _){const t=this.sradius[s]**2,r=(this.sx[s]-i)**2+(this.sy[s]-e)**2;r<=t&&c.push([s,r])}return l.Selection.from_hits(c)}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=this.index.indices({x0:r,x1:a,y0:n,y1:h});return new l.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),_=this.index.indices({x0:a,x1:n,y0:h,y1:d});return new l.Selection({indices:_})}_hit_poly(s){const{sx:i,sy:e}=s,t=d.range(0,this.sx.length),r=[];for(let s=0,a=t.length;s<a;s++){const a=t[s];n.point_in_poly(this.sx[s],this.sy[s],i,e)&&r.push(a)}return new l.Selection({indices:r})}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,h=new Array(n);h[a]=(i+t)/2;const d=new Array(n);d[a]=(e+r)/2;const _=new Array(n);_[a]=.2*Math.min(Math.abs(t-i),Math.abs(r-e)),this._render(s,[a],{sx:h,sy:d,sradius:_})}}e.CircleView=c,c.__name__=\"CircleView\";class o extends r.XYGlyph{constructor(s){super(s)}static init_Circle(){this.prototype.default_view=c,this.mixins([a.LineVector,a.FillVector]),this.define({angle:[h.AngleSpec,0],size:[h.DistanceSpec,{units:\"screen\",value:4}],radius:[h.DistanceSpec,void 0,{optional:!0}],radius_dimension:[h.RadiusDimension,\"x\"]})}}e.Circle=o,o.__name__=\"Circle\",o.init_Circle()},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=e(1),i=e(84),l=e(23),s=a.__importStar(e(18));class c extends i.XYGlyphView{}n.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class o extends i.XYGlyph{constructor(e){super(e)}static init_CenterRotatable(){this.mixins([l.LineVector,l.FillVector]),this.define({angle:[s.AngleSpec,0],width:[s.DistanceSpec],height:[s.DistanceSpec]})}}n.CenterRotatable=o,o.__name__=\"CenterRotatable\",o.init_CenterRotatable()},\n",
+       "      function _(e,l,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(216);class t extends s.EllipseOvalView{}i.EllipseView=t,t.__name__=\"EllipseView\";class _ extends s.EllipseOval{constructor(e){super(e)}static init_Ellipse(){this.prototype.default_view=t}}i.Ellipse=_,_.__name__=\"Ellipse\",_.init_Ellipse()},\n",
+       "      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),h=t(214),r=e.__importStar(t(93)),a=t(79);class _ extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"):this.sw=this._width,\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"):this.sh=this._height}_render(t,s,{sx:i,sy:e,sw:h,sh:r,_angle:a}){for(const _ of s)isNaN(i[_]+e[_]+h[_]+r[_]+a[_])||(t.beginPath(),t.ellipse(i[_],e[_],h[_]/2,r[_]/2,a[_],0,2*Math.PI),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,_),t.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,_),t.stroke()))}_hit_point(t){let s,i,e,h,_,n,l,d,o,x;const{sx:m,sy:c}=t,w=this.renderer.xscale.invert(m),p=this.renderer.yscale.invert(c);\"data\"==this.model.properties.width.units?(s=w-this.max_width,i=w+this.max_width):(l=m-this.max_width,d=m+this.max_width,[s,i]=this.renderer.xscale.r_invert(l,d)),\"data\"==this.model.properties.height.units?(e=p-this.max_height,h=p+this.max_height):(o=c-this.max_height,x=c+this.max_height,[e,h]=this.renderer.yscale.r_invert(o,x));const y=this.index.indices({x0:s,x1:i,y0:e,y1:h}),u=[];for(const t of y)_=r.point_in_ellipse(m,c,this._angle[t],this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),_&&([l,d]=this.renderer.xscale.r_compute(w,this._x[t]),[o,x]=this.renderer.yscale.r_compute(p,this._y[t]),n=(l-d)**2+(o-x)**2,u.push([t,n]));return a.Selection.from_hits(u)}draw_legend_for_index(t,{x0:s,y0:i,x1:e,y1:h},r){const a=r+1,_=new Array(a);_[r]=(s+e)/2;const n=new Array(a);n[r]=(i+h)/2;const l=this.sw[r]/this.sh[r],d=.8*Math.min(Math.abs(e-s),Math.abs(h-i)),o=new Array(a),x=new Array(a);l>1?(o[r]=d,x[r]=d/l):(o[r]=d*l,x[r]=d),this._render(t,[r],{sx:_,sy:n,sw:o,sh:x,_angle:[0]})}_bounds({x0:t,x1:s,y0:i,y1:e}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:i-this.max_h2,y1:e+this.max_h2}}}i.EllipseOvalView=_,_.__name__=\"EllipseOvalView\";class n extends h.CenterRotatable{constructor(t){super(t)}}i.EllipseOval=n,n.__name__=\"EllipseOval\"},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class _ extends h.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return this.sy[t]}_index_data(){return this._index_box(this._y.length)}_lrtb(t){return[Math.min(this._left[t],this._right[t]),Math.max(this._left[t],this._right[t]),this._y[t]+.5*this._height[t],this._y[t]-.5*this._height[t]]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new Float64Array(t),this.sbottom=new Float64Array(t);for(let s=0;s<t;s++)this.stop[s]=this.sy[s]-this.sh[s]/2,this.sbottom[s]=this.sy[s]+this.sh[s]/2;this._clamp_viewport()}}e.HBarView=_,_.__name__=\"HBarView\";class a extends h.Box{constructor(t){super(t)}static init_HBar(){this.prototype.default_view=_,this.coords([[\"left\",\"y\"]]),this.define({height:[r.NumberSpec],right:[r.CoordinateSpec]}),this.override({left:0})}}e.HBar=a,a.__name__=\"HBar\",a.init_HBar()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),r=t(85),n=t(89),h=t(92),o=t(79);class a extends n.GlyphView{get_anchor_point(t,e,i){const s=Math.min(this.sleft[e],this.sright[e]),r=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),h=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:s,y:n};case\"top_center\":return{x:(s+r)/2,y:n};case\"top_right\":return{x:r,y:n};case\"bottom_left\":return{x:s,y:h};case\"bottom_center\":return{x:(s+r)/2,y:h};case\"bottom_right\":return{x:r,y:h};case\"center_left\":return{x:s,y:(n+h)/2};case\"center\":return{x:(s+r)/2,y:(n+h)/2};case\"center_right\":return{x:r,y:(n+h)/2};default:return null}}_index_box(t){const e=[];for(let i=0;i<t;i++){const[t,s,r,n]=this._lrtb(i);!isNaN(t+s+r+n)&&isFinite(t+s+r+n)&&e.push({x0:Math.min(t,s),y0:Math.min(r,n),x1:Math.max(s,t),y1:Math.max(r,n),i})}return new r.SpatialIndex(e)}_render(t,e,{sleft:i,sright:s,stop:r,sbottom:n}){for(const h of e)isNaN(i[h]+r[h]+s[h]+n[h])||(t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()),this.visuals.hatch.doit2(t,h,()=>{t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.stroke()))}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,i=this.stop.length;for(let s=0;s<i;s++)this.stop[s]=Math.max(this.stop[s],e.start),this.sbottom[s]=Math.min(this.sbottom[s],e.end),this.sleft[s]=Math.max(this.sleft[s],t.start),this.sright[s]=Math.min(this.sright[s],t.end)}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){const{sx:e,sy:i}=t,s=this.renderer.xscale.invert(e),r=this.renderer.yscale.invert(i),n=this.index.indices({x0:s,y0:r,x1:s,y1:r});return new o.Selection({indices:n})}_hit_span(t){const{sx:e,sy:i}=t;let s;if(\"v\"==t.direction){const t=this.renderer.yscale.invert(i),e=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(e.start,e.end);s=this.index.indices({x0:r,y0:t,x1:n,y1:t})}else{const t=this.renderer.xscale.invert(e),i=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(i.start,i.end);s=this.index.indices({x0:t,y0:r,x1:t,y1:n})}return new o.Selection({indices:s})}draw_legend_for_index(t,e,i){h.generic_area_legend(this.visuals,t,e,i)}}i.BoxView=a,a.__name__=\"BoxView\";class c extends n.Glyph{constructor(t){super(t)}static init_Box(){this.mixins([s.LineVector,s.FillVector,s.HatchVector])}}i.Box=c,c.__name__=\"Box\",c.init_Box()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(89),n=i.__importStar(e(93)),o=i.__importStar(e(18)),a=e(23),l=e(85),h=e(92),c=e(79);class _ extends r.GlyphView{scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}_set_data(){const e=this._q.length,t=this.model.size,s=this.model.aspect_scale;if(this._x=new Float64Array(e),this._y=new Float64Array(e),\"pointytop\"==this.model.orientation)for(let i=0;i<e;i++)this._x[i]=t*Math.sqrt(3)*(this._q[i]+this._r[i]/2)/s,this._y[i]=3*-t/2*this._r[i];else for(let i=0;i<e;i++)this._x[i]=3*t/2*this._q[i],this._y[i]=-t*Math.sqrt(3)*(this._r[i]+this._q[i]/2)*s}_index_data(){let e=this.model.size,t=Math.sqrt(3)*e/2;\"flattop\"==this.model.orientation?([t,e]=[e,t],e*=this.model.aspect_scale):t/=this.model.aspect_scale;const s=[];for(let i=0;i<this._x.length;i++){const r=this._x[i],n=this._y[i];!isNaN(r+n)&&isFinite(r+n)&&s.push({x0:r-t,y0:n-e,x1:r+t,y1:n+e,i})}return new l.SpatialIndex(s)}map_data(){[this.sx,this.sy]=this.map_to_screen(this._x,this._y),[this.svx,this.svy]=this._get_unscaled_vertices()}_get_unscaled_vertices(){const e=this.model.size,t=this.model.aspect_scale;if(\"pointytop\"==this.model.orientation){const s=this.renderer.yscale,i=this.renderer.xscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))/t,o=r/2;return[[0,-n,-n,0,n,n],[r,o,-o,-r,-o,o]]}{const s=this.renderer.xscale,i=this.renderer.yscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))*t,o=r/2;return[[r,o,-o,-r,-o,o],[0,-n,-n,0,n,n]]}}_render(e,t,{sx:s,sy:i,svx:r,svy:n,_scale:o}){for(const a of t)if(!isNaN(s[a]+i[a]+o[a])){e.translate(s[a],i[a]),e.beginPath();for(let t=0;t<6;t++)e.lineTo(r[t]*o[a],n[t]*o[a]);e.closePath(),e.translate(-s[a],-i[a]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,a),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,a),e.stroke())}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s),o=this.index.indices({x0:i,y0:r,x1:i,y1:r}),a=[];for(const e of o)n.point_in_poly(t-this.sx[e],s-this.sy[e],this.svx,this.svy)&&a.push(e);return new c.Selection({indices:a})}_hit_span(e){const{sx:t,sy:s}=e;let i;if(\"v\"==e.direction){const e=this.renderer.yscale.invert(s),t=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(t.start,t.end);i=this.index.indices({x0:r,y0:e,x1:n,y1:e})}else{const e=this.renderer.xscale.invert(t),s=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(s.start,s.end);i=this.index.indices({x0:e,y0:r,x1:e,y1:n})}return new c.Selection({indices:i})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:r}=e,[n,o]=this.renderer.xscale.r_invert(t,s),[a,l]=this.renderer.yscale.r_invert(i,r),h=this.index.indices({x0:n,x1:o,y0:a,y1:l});return new c.Selection({indices:h})}draw_legend_for_index(e,t,s){h.generic_area_legend(this.visuals,e,t,s)}}s.HexTileView=_,_.__name__=\"HexTileView\";class d extends r.Glyph{constructor(e){super(e)}static init_HexTile(){this.prototype.default_view=_,this.coords([[\"r\",\"q\"]]),this.mixins([a.LineVector,a.FillVector]),this.define({size:[o.Number,1],aspect_scale:[o.Number,1],scale:[o.NumberSpec,1],orientation:[o.HexTileOrientation,\"pointytop\"]}),this.override({line_color:null})}}s.HexTile=d,d.__name__=\"HexTile\",d.init_HexTile()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(1),i=e(221),n=e(115),s=_.__importStar(e(18));class r extends i.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,()=>this._update_image())}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.plot_view.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}a.ImageView=r,r.__name__=\"ImageView\";class o extends i.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=r,this.define({color_mapper:[s.Instance,()=>new n.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})}}a.Image=o,o.__name__=\"Image\",o.init_Image()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(84),h=s.__importStar(e(18)),n=e(79),_=e(85),r=e(9),d=e(26);class l extends a.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_render(e,t,{image_data:i,sx:s,sy:a,sw:h,sh:n}){const _=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const _ of t){if(null==i[_]||isNaN(s[_]+a[_]+h[_]+n[_]))continue;const t=a[_];e.translate(0,t),e.scale(1,-1),e.translate(0,-t),e.drawImage(i[_],0|s[_],0|a[_],h[_],n[_]),e.translate(0,t),e.scale(1,-1),e.translate(0,-t)}e.setImageSmoothingEnabled(_)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this._image.length;t<i;t++){if(null!=e&&e.indexOf(t)<0)continue;const i=this._image[t];let s;d.is_NDArray(i)?(s=i,this._height[t]=i.shape[0],this._width[t]=i.shape[1]):(s=r.concat(i),this._height[t]=i.length,this._width[t]=i[0].length);const a=this._flat_img_to_buf8(s);this._set_image_data_from_buffer(t,a)}}_index_data(){const e=[];for(let t=0,i=this._x.length;t<i;t++){const[i,s,a,h]=this._lrtb(t);!isNaN(i+s+a+h)&&isFinite(i+s+a+h)&&e.push({x0:i,y0:h,x1:s,y1:a,i:t})}return new _.SpatialIndex(e)}_lrtb(e){const t=this.renderer.xscale.source_range,i=this._x[e],s=t.is_reversed?i-this._dw[e]:i+this._dw[e],a=this.renderer.yscale.source_range,h=this._y[e],n=a.is_reversed?h-this._dh[e]:h+this._dh[e],[_,r]=i<s?[i,s]:[s,i],[d,l]=h<n?[h,n]:[n,h];return[_,r,l,d]}_set_width_heigh_data(){null!=this.image_data&&this.image_data.length==this._image.length||(this.image_data=new Array(this._image.length)),null!=this._width&&this._width.length==this._image.length||(this._width=new Array(this._image.length)),null!=this._height&&this._height.length==this._image.length||(this._height=new Array(this._image.length))}_get_or_create_canvas(e){const t=this.image_data[e];if(null!=t&&t.width==this._width[e]&&t.height==this._height[e])return t;{const t=document.createElement(\"canvas\");return t.width=this._width[e],t.height=this._height[e],t}}_set_image_data_from_buffer(e,t){const i=this._get_or_create_canvas(e),s=i.getContext(\"2d\"),a=s.getImageData(0,0,this._width[e],this._height[e]);a.data.set(t),s.putImageData(a,0,0),this.image_data[e]=i}_map_data(){switch(this.model.properties.dw.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,this._dw,\"edge\",this.model.dilate);break;case\"screen\":this.sw=this._dw}switch(this.model.properties.dh.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,this._dh,\"edge\",this.model.dilate);break;case\"screen\":this.sh=this._dh}}_image_index(e,t,i){const[s,a,h,n]=this._lrtb(e),_=this._width[e],r=this._height[e],d=(a-s)/_,l=(h-n)/r;let g=Math.floor((t-s)/d),o=Math.floor((i-n)/l);return this.renderer.xscale.source_range.is_reversed&&(g=_-g-1),this.renderer.yscale.source_range.is_reversed&&(o=r-o-1),{index:e,dim1:g,dim2:o,flat_index:o*_+g}}_hit_point(e){const{sx:t,sy:i}=e,s=this.renderer.xscale.invert(t),a=this.renderer.yscale.invert(i),h=this.index.indices({x0:s,x1:s,y0:a,y1:a}),_=new n.Selection;for(const e of h)t!=1/0&&i!=1/0&&_.image_indices.push(this._image_index(e,s,a));return _}}i.ImageBaseView=l,l.__name__=\"ImageBaseView\";class g extends a.XYGlyph{constructor(e){super(e)}static init_ImageBase(){this.define({image:[h.NumberSpec],dw:[h.DistanceSpec],dh:[h.DistanceSpec],dilate:[h.Boolean,!1],global_alpha:[h.Number,1]})}}i.ImageBase=g,g.__name__=\"ImageBase\",g.init_ImageBase()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(221),i=e(8);class n extends _.ImageBaseView{_flat_img_to_buf8(e){let t;return t=i.isArray(e)?new Uint32Array(e):e,new Uint8Array(t.buffer)}}a.ImageRGBAView=n,n.__name__=\"ImageRGBAView\";class r extends _.ImageBase{constructor(e){super(e)}static init_ImageRGBA(){this.prototype.default_view=n}}a.ImageRGBA=r,r.__name__=\"ImageRGBA\",r.init_ImageRGBA()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),a=i.__importStar(e(18)),n=e(12),h=e(85),l=e(224);class _ extends r.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1}initialize(){super.initialize(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_index_data(){return new h.SpatialIndex([])}_set_data(){null!=this.image&&this.image.length==this._url.length||(this.image=n.map(this._url,()=>null));const{retry_attempts:e,retry_timeout:t}=this.model;for(let s=0,i=this._url.length;s<i;s++){const i=this._url[s];null!=i&&\"\"!=i&&new l.ImageLoader(i,{loaded:e=>{this.image[s]=e,this.renderer.request_render()},attempts:e+1,timeout:t})}const s=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,r=this._x.length,a=new Array(s?2*r:r),h=new Array(i?2*r:r);for(let e=0;e<r;e++)a[e]=this._x[e],h[e]=this._y[e];if(s)for(let e=0;e<r;e++)a[r+e]=this._x[e]+this._w[e];if(i)for(let e=0;e<r;e++)h[r+e]=this._y[e]+this._h[e];const _=n.min(a),o=n.max(a),d=n.min(h),c=n.max(h);this._bounds_rect={x0:_,x1:o,y0:d,y1:c}}has_finished(){return super.has_finished()&&1==this._images_rendered}_map_data(){const e=null!=this.model.w?this._w:n.map(this._x,()=>NaN),t=null!=this.model.h?this._h:n.map(this._x,()=>NaN);switch(this.model.properties.w.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,e,\"edge\",this.model.dilate);break;case\"screen\":this.sw=e}switch(this.model.properties.h.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,t,\"edge\",this.model.dilate);break;case\"screen\":this.sh=t}}_render(e,t,{image:s,sx:i,sy:r,sw:a,sh:n,_angle:h}){const{frame:l}=this.renderer.plot_view;e.rect(l._left.value+1,l._top.value+1,l._width.value-2,l._height.value-2),e.clip();let _=!0;for(const l of t){if(isNaN(i[l]+r[l]+h[l]))continue;const t=s[l];null!=t?this._render_image(e,l,t,i,r,a,n,h):_=!1}_&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,i,r){switch(e){case\"top_left\":return[t,s];case\"top_center\":return[t-i/2,s];case\"top_right\":return[t-i,s];case\"center_right\":return[t-i,s-r/2];case\"bottom_right\":return[t-i,s-r];case\"bottom_center\":return[t-i/2,s-r];case\"bottom_left\":return[t,s-r];case\"center_left\":return[t,s-r/2];case\"center\":return[t-i/2,s-r/2]}}_render_image(e,t,s,i,r,a,n,h){isNaN(a[t])&&(a[t]=s.width),isNaN(n[t])&&(n[t]=s.height);const{anchor:l}=this.model,[_,o]=this._final_sx_sy(l,i[t],r[t],a[t],n[t]);e.save(),e.globalAlpha=this.model.global_alpha;const d=a[t]/2,c=n[t]/2;h[t]?(e.translate(_,o),e.translate(d,c),e.rotate(h[t]),e.translate(-d,-c),e.drawImage(s,0,0,a[t],n[t]),e.translate(d,c),e.rotate(-h[t]),e.translate(-d,-c),e.translate(-_,-o)):e.drawImage(s,_,o,a[t],n[t]),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=_,_.__name__=\"ImageURLView\";class o extends r.XYGlyph{constructor(e){super(e)}static init_ImageURL(){this.prototype.default_view=_,this.define({url:[a.StringSpec],anchor:[a.Anchor,\"top_left\"],global_alpha:[a.Number,1],angle:[a.AngleSpec,0],w:[a.DistanceSpec],h:[a.DistanceSpec],dilate:[a.Boolean,!1],retry_attempts:[a.Number,0],retry_timeout:[a.Number,0]})}}s.ImageURL=o,o.__name__=\"ImageURL\",o.init_ImageURL()},\n",
+       "      function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(72);class a{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:a=1}=e;this.promise=new Promise((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const a=`unable to load ${i} image after ${t} attempts`;if(s.logger.warn(a),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());s.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout(()=>this._image.src=i,a)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i})}get finished(){return this._finished}get image(){return this._image}}t.ImageLoader=a,a.__name__=\"ImageLoader\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(85),l=t(23),o=i.__importStar(t(93)),r=t(9),h=t(17),_=t(89),c=t(92),a=t(79);class x extends _.GlyphView{_index_data(){const t=[];for(let e=0,s=this._xs.length;e<s;e++){if(null==this._xs[e]||0===this._xs[e].length)continue;const s=this._xs[e],i=[];for(let t=0,e=s.length;t<e;t++){const e=s[t];isNaN(e)||i.push(e)}const n=this._ys[e],l=[];for(let t=0,e=n.length;t<e;t++){const e=n[t];isNaN(e)||l.push(e)}const[o,h]=[r.min(i),r.max(i)],[_,c]=[r.min(l),r.max(l)];t.push({x0:o,y0:_,x1:h,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sxs:s,sys:i}){for(const n of e){const[e,l]=[s[n],i[n]];this.visuals.line.set_vectorize(t,n);for(let s=0,i=e.length;s<i;s++)0!=s?isNaN(e[s])||isNaN(l[s])?(t.stroke(),t.beginPath()):t.lineTo(e[s],l[s]):(t.beginPath(),t.moveTo(e[s],l[s]));t.stroke()}}_hit_point(t){const e={x:t.sx,y:t.sy};let s=9999;const i=new Map;for(let t=0,n=this.sxs.length;t<n;t++){const n=Math.max(2,this.visuals.line.cache_select(\"line_width\",t)/2);let l=null;for(let i=0,r=this.sxs[t].length-1;i<r;i++){const r={x:this.sxs[t][i],y:this.sys[t][i]},h={x:this.sxs[t][i+1],y:this.sys[t][i+1]},_=o.dist_to_segment(e,r,h);_<n&&_<s&&(s=_,l=[i])}null!=l&&i.set(t,l)}return new a.Selection({indices:[...i.keys()],multiline_indices:h.to_object(i)})}_hit_span(t){const{sx:e,sy:s}=t;let i,n;\"v\"===t.direction?(i=this.renderer.yscale.invert(s),n=this._ys):(i=this.renderer.xscale.invert(e),n=this._xs);const l=new Map;for(let t=0,e=n.length;t<e;t++){const e=[];for(let s=0,l=n[t].length-1;s<l;s++)n[t][s]<=i&&i<=n[t][s+1]&&e.push(s);e.length>0&&l.set(t,e)}return new a.Selection({indices:[...l.keys()],multiline_indices:h.to_object(l)})}get_interpolation_hit(t,e,s){const[i,n,l,o]=[this._xs[t][e],this._ys[t][e],this._xs[t][e+1],this._ys[t][e+1]];return c.line_interpolation(this.renderer,s,i,n,l,o)}draw_legend_for_index(t,e,s){c.generic_line_legend(this.visuals,t,e,s)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}s.MultiLineView=x,x.__name__=\"MultiLineView\";class u extends _.Glyph{constructor(t){super(t)}static init_MultiLine(){this.prototype.default_view=x,this.coords([[\"xs\",\"ys\"]]),this.mixins(l.LineVector)}}s.MultiLine=u,u.__name__=\"MultiLine\",u.init_MultiLine()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(85),r=e(89),o=e(92),l=e(9),h=e(12),_=e(23),a=i.__importStar(e(93)),c=e(79),d=e(8),x=e(11);class y extends r.GlyphView{_index_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++){const i=this._xs[t][s][0],n=this._ys[t][s][0];0!=i.length&&e.push({x0:l.min(i),y0:l.min(n),x1:l.max(i),y1:l.max(n),i:t})}return this.hole_index=this._index_hole_data(),new n.SpatialIndex(e)}_index_hole_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++)if(this._xs[t][s].length>1)for(let i=1,n=this._xs[t][s].length;i<n;i++){const n=this._xs[t][s][i],r=this._ys[t][s][i];0!=n.length&&e.push({x0:l.min(n),y0:l.min(r),x1:l.max(n),y1:l.max(r),i:t})}return new n.SpatialIndex(e)}_mask_data(){const e=this.renderer.plot_view.frame.x_ranges.default,[t,s]=[e.min,e.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:s,y0:n,y1:r}).sort((e,t)=>e-t).filter((e,t,s)=>0===t||e!==s[t-1])}_inner_loop(e,t,s){e.beginPath();for(let i=0,n=t.length;i<n;i++)for(let n=0,r=t[i].length;n<r;n++){const r=t[i][n],o=s[i][n];for(let t=0,s=r.length;t<s;t++)0!=t?e.lineTo(r[t],o[t]):e.moveTo(r[t],o[t]);e.closePath()}}_render(e,t,{sxs:s,sys:i}){if(this.visuals.fill.doit||this.visuals.line.doit)for(const n of t){const[t,r]=[s[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,n),this._inner_loop(e,t,r),e.fill(\"evenodd\")),this.visuals.hatch.doit2(e,n,()=>{this._inner_loop(e,t,r),e.fill(\"evenodd\")},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,n),this._inner_loop(e,t,r),e.stroke())}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],o=[i,i,n,n],[l,h]=this.renderer.xscale.r_invert(t,s),[_,d]=this.renderer.yscale.r_invert(i,n),x=this.index.indices({x0:l,x1:h,y0:_,y1:d}),y=[];for(let e=0,t=x.length;e<t;e++){const t=x[e],s=this.sxs[t],i=this.sys[t];let n=!0;for(let e=0,t=s.length;e<t;e++){for(let t=0,l=s[e][0].length;t<l;t++){const l=s[e][0][t],h=i[e][0][t];if(!a.point_in_poly(l,h,r,o)){n=!1;break}}if(!n)break}n&&y.push(t)}return new c.Selection({indices:y})}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(s),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=this.hole_index.indices({x0:i,y0:n,x1:i,y1:n}),l=[];for(let e=0,i=r.length;e<i;e++){const i=r[e],n=this.sxs[i],h=this.sys[i];for(let e=0,r=n.length;e<r;e++){const r=n[e].length;if(a.point_in_poly(t,s,n[e][0],h[e][0]))if(1==r)l.push(i);else if(-1==o.indexOf(i))l.push(i);else if(r>1){let o=!1;for(let i=1;i<r;i++){const r=n[e][i],l=h[e][i];if(a.point_in_poly(t,s,r,l)){o=!0;break}}o||l.push(i)}}}return new c.Selection({indices:l})}_get_snap_coord(e){return h.sum(e)/e.length}scenterx(e,t,s){if(1==this.sxs[e].length)return this._get_snap_coord(this.sxs[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(i[e][0])}x.unreachable()}scentery(e,t,s){if(1==this.sys[e].length)return this._get_snap_coord(this.sys[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(n[e][0])}x.unreachable()}map_data(){const e=this;for(let[t,s]of this.model._coords){const i=\"s\"+t,n=\"s\"+s;if(t=\"_\"+t,s=\"_\"+s,null!=e[t]&&(d.isArray(e[t][0])||d.isTypedArray(e[t][0]))){const r=e[t].length;e[i]=new Array(r),e[n]=new Array(r);for(let o=0;o<r;o++){const r=e[t][o].length;e[i][o]=new Array(r),e[n][o]=new Array(r);for(let l=0;l<r;l++){const r=e[t][o][l].length;e[i][o][l]=new Array(r),e[n][o][l]=new Array(r);for(let h=0;h<r;h++){const[r,_]=this.map_to_screen(e[t][o][l][h],e[s][o][l][h]);e[i][o][l][h]=r,e[n][o][l][h]=_}}}}}}draw_legend_for_index(e,t,s){o.generic_area_legend(this.visuals,e,t,s)}}s.MultiPolygonsView=y,y.__name__=\"MultiPolygonsView\";class f extends r.Glyph{constructor(e){super(e)}static init_MultiPolygons(){this.prototype.default_view=y,this.coords([[\"xs\",\"ys\"]]),this.mixins([_.LineVector,_.FillVector,_.HatchVector])}}s.MultiPolygons=f,f.__name__=\"MultiPolygons\",f.init_MultiPolygons()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const l=e(216);class s extends l.EllipseOvalView{_map_data(){super._map_data();const{sw:e}=this,t=e.length;for(let a=0;a<t;a++)e[a]*=.75}}a.OvalView=s,s.__name__=\"OvalView\";class _ extends l.EllipseOval{constructor(e){super(e)}static init_Oval(){this.prototype.default_view=s}}a.Oval=_,_.__name__=\"Oval\",_.init_Oval()},\n",
+       "      function _(s,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=s(1),n=s(85),r=s(89),o=s(92),l=s(9),_=s(12),h=s(23),c=i.__importStar(s(93)),a=s(79),d=s(11);class u extends r.GlyphView{_build_discontinuous_object(s){const t=[];for(let e=0,i=s.length;e<i;e++){t[e]=[];let i=l.copy(s[e]);for(;i.length>0;){const s=l.find_last_index(i,s=>isNaN(s));let n;s>=0?n=i.splice(s):(n=i,i=[]);const r=n.filter(s=>!isNaN(s));t[e].push(r)}}return t}_index_data(){const s=this._build_discontinuous_object(this._xs),t=this._build_discontinuous_object(this._ys),e=[];for(let i=0,n=this._xs.length;i<n;i++)for(let n=0,r=s[i].length;n<r;n++){const r=s[i][n],o=t[i][n];0!=r.length&&e.push({x0:l.min(r),y0:l.min(o),x1:l.max(r),y1:l.max(o),i})}return new n.SpatialIndex(e)}_mask_data(){const s=this.renderer.plot_view.frame.x_ranges.default,[t,e]=[s.min,s.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:e,y0:n,y1:r}).sort((s,t)=>s-t)}_inner_loop(s,t,e,i){for(let n=0,r=t.length;n<r;n++)0!=n?isNaN(t[n]+e[n])?(s.closePath(),i.apply(s),s.beginPath()):s.lineTo(t[n],e[n]):(s.beginPath(),s.moveTo(t[n],e[n]));s.closePath(),i.call(s)}_render(s,t,{sxs:e,sys:i}){this.sxss=this._build_discontinuous_object(e),this.syss=this._build_discontinuous_object(i);for(const n of t){const[t,r]=[e[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,n),this._inner_loop(s,t,r,s.fill)),this.visuals.hatch.doit2(s,n,()=>this._inner_loop(s,t,r,s.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),this._inner_loop(s,t,r,s.stroke))}}_hit_rect(s){const{sx0:t,sx1:e,sy0:i,sy1:n}=s,r=[t,e,e,t],o=[i,i,n,n],[l,_]=this.renderer.xscale.r_invert(t,e),[h,d]=this.renderer.yscale.r_invert(i,n),u=this.index.indices({x0:l,x1:_,y0:h,y1:d}),x=[];for(let s=0,t=u.length;s<t;s++){const t=u[s],e=this.sxs[t],i=this.sys[t];let n=!0;for(let s=0,t=e.length;s<t;s++){const t=e[s],l=i[s];if(!c.point_in_poly(t,l,r,o)){n=!1;break}}n&&x.push(t)}return new a.Selection({indices:x})}_hit_point(s){const{sx:t,sy:e}=s,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(e),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=[];for(let s=0,i=r.length;s<i;s++){const i=r[s],n=this.sxss[i],l=this.syss[i];for(let s=0,r=n.length;s<r;s++)c.point_in_poly(t,e,n[s],l[s])&&o.push(i)}return new a.Selection({indices:o})}_get_snap_coord(s){return _.sum(s)/s.length}scenterx(s,t,e){if(1==this.sxss[s].length)return this._get_snap_coord(this.sxs[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(i[s])}d.unreachable()}scentery(s,t,e){if(1==this.syss[s].length)return this._get_snap_coord(this.sys[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(n[s])}d.unreachable()}draw_legend_for_index(s,t,e){o.generic_area_legend(this.visuals,s,t,e)}}e.PatchesView=u,u.__name__=\"PatchesView\";class x extends r.Glyph{constructor(s){super(s)}static init_Patches(){this.prototype.default_view=u,this.coords([[\"xs\",\"ys\"]]),this.mixins([h.LineVector,h.FillVector,h.HatchVector])}}e.Patches=x,x.__name__=\"Patches\",x.init_Patches()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(218);class _ extends i.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._right.length)}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}s.QuadView=_,_.__name__=\"QuadView\";class o extends i.Box{constructor(t){super(t)}static init_Quad(){this.prototype.default_view=_,this.coords([[\"right\",\"bottom\"],[\"left\",\"top\"]])}}s.Quad=o,o.__name__=\"Quad\",o.init_Quad()},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(23),n=t(85),r=t(89),_=t(92);function a(t,i,e){if(i==(t+e)/2)return[t,e];{const s=(t-i)/(t-2*i+e),n=t*(1-s)**2+2*i*(1-s)*s+e*s**2;return[Math.min(t,e,n),Math.max(t,e,n)]}}class c extends r.GlyphView{_index_data(){const t=[];for(let i=0,e=this._x0.length;i<e;i++){if(isNaN(this._x0[i]+this._x1[i]+this._y0[i]+this._y1[i]+this._cx[i]+this._cy[i]))continue;const[e,s]=a(this._x0[i],this._cx[i],this._x1[i]),[n,r]=a(this._y0[i],this._cy[i],this._y1[i]);t.push({x0:e,y0:n,x1:s,y1:r,i})}return new n.SpatialIndex(t)}_render(t,i,{sx0:e,sy0:s,sx1:n,sy1:r,scx:_,scy:a}){if(this.visuals.line.doit)for(const c of i)isNaN(e[c]+s[c]+n[c]+r[c]+_[c]+a[c])||(t.beginPath(),t.moveTo(e[c],s[c]),t.quadraticCurveTo(_[c],a[c],n[c],r[c]),this.visuals.line.set_vectorize(t,c),t.stroke())}draw_legend_for_index(t,i,e){_.generic_line_legend(this.visuals,t,i,e)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}e.QuadraticView=c,c.__name__=\"QuadraticView\";class o extends r.Glyph{constructor(t){super(t)}static init_Quadratic(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx\",\"cy\"]]),this.mixins(s.LineVector)}}e.Quadratic=o,o.__name__=\"Quadratic\",o.init_Quadratic()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),a=e(92),l=e(23),r=s.__importStar(e(18));class _ extends n.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this._length):this.slength=this._length}_render(e,t,{sx:i,sy:s,slength:n,_angle:a}){if(this.visuals.line.doit){const l=2*(this.renderer.plot_view.frame._width.value+this.renderer.plot_view.frame._height.value);for(let e=0,t=n.length;e<t;e++)0==n[e]&&(n[e]=l);for(const l of t)isNaN(i[l]+s[l]+a[l]+n[l])||(e.translate(i[l],s[l]),e.rotate(a[l]),e.beginPath(),e.moveTo(0,0),e.lineTo(n[l],0),this.visuals.line.set_vectorize(e,l),e.stroke(),e.rotate(-a[l]),e.translate(-i[l],-s[l]))}}draw_legend_for_index(e,t,i){a.generic_line_legend(this.visuals,e,t,i)}}i.RayView=_,_.__name__=\"RayView\";class h extends n.XYGlyph{constructor(e){super(e)}static init_Ray(){this.prototype.default_view=_,this.mixins(l.LineVector),this.define({length:[r.DistanceSpec],angle:[r.AngleSpec]})}}i.Ray=h,h.__name__=\"Ray\",h.init_Ray()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(214),a=t(92),r=i.__importStar(t(18)),n=t(12),_=t(79);class l extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this._width,this.renderer.xscale);else{this.sw=this._width;const t=this.sx.length;this.sx0=new Float64Array(t);for(let s=0;s<t;s++)this.sx0[s]=this.sx[s]-this.sw[s]/2}if(\"data\"==this.model.properties.height.units)[this.sh,this.sy1]=this._map_dist_corner_for_data_side_length(this._y,this._height,this.renderer.yscale);else{this.sh=this._height;const t=this.sy.length;this.sy1=new Float64Array(t);for(let s=0;s<t;s++)this.sy1[s]=this.sy[s]-this.sh[s]/2}const t=this.sw.length;this.ssemi_diag=new Float64Array(t);for(let s=0;s<t;s++)this.ssemi_diag[s]=Math.sqrt(this.sw[s]/2*this.sw[s]/2+this.sh[s]/2*this.sh[s]/2)}_render(t,s,{sx:e,sy:i,sx0:h,sy1:a,sw:r,sh:n,_angle:_}){if(this.visuals.fill.doit)for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||(this.visuals.fill.set_vectorize(t,l),_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.fillRect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.fillRect(h[l],a[l],r[l],n[l]));if(this.visuals.line.doit){t.beginPath();for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||0!=r[l]&&0!=n[l]&&(_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.rect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.rect(h[l],a[l],r[l],n[l]),this.visuals.line.set_vectorize(t,l),t.stroke(),t.beginPath());t.stroke()}}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){let{sx:s,sy:e}=t;const i=this.renderer.xscale.invert(s),h=this.renderer.yscale.invert(e),a=[];for(let t=0,s=this.sx0.length;t<s;t++)a.push(this.sx0[t]+this.sw[t]/2);const r=[];for(let t=0,s=this.sy1.length;t<s;t++)r.push(this.sy1[t]+this.sh[t]/2);const l=n.max(this._ddist(0,a,this.ssemi_diag)),o=n.max(this._ddist(1,r,this.ssemi_diag)),d=i-l,c=i+l,x=h-o,y=h+o,f=[];for(const t of this.index.indices({x0:d,x1:c,y0:x,y1:y})){let i,h;if(this._angle[t]){const a=Math.sin(-this._angle[t]),r=Math.cos(-this._angle[t]),n=r*(s-this.sx[t])-a*(e-this.sy[t])+this.sx[t],_=a*(s-this.sx[t])+r*(e-this.sy[t])+this.sy[t];s=n,e=_,h=Math.abs(this.sx[t]-s)<=this.sw[t]/2,i=Math.abs(this.sy[t]-e)<=this.sh[t]/2}else h=s-this.sx0[t]<=this.sw[t]&&s-this.sx0[t]>=0,i=e-this.sy1[t]<=this.sh[t]&&e-this.sy1[t]>=0;i&&h&&f.push(t)}return new _.Selection({indices:f})}_map_dist_corner_for_data_side_length(t,s,e){const i=t.length,h=new Float64Array(i),a=new Float64Array(i);for(let e=0;e<i;e++)h[e]=Number(t[e])-s[e]/2,a[e]=Number(t[e])+s[e]/2;const r=e.v_compute(h),n=e.v_compute(a),_=this.sdist(e,h,s,\"edge\",this.model.dilate);let l=r;for(let t=0,s=r.length;t<s;t++)if(r[t]!=n[t]){l=r[t]<n[t]?r:n;break}return[_,l]}_ddist(t,s,e){const i=0==t?this.renderer.xscale:this.renderer.yscale,h=s,a=h.length,r=new Float64Array(a);for(let t=0;t<a;t++)r[t]=h[t]+e[t];const n=i.v_invert(h),_=i.v_invert(r),l=n.length,o=new Float64Array(l);for(let t=0;t<l;t++)o[t]=Math.abs(_[t]-n[t]);return o}draw_legend_for_index(t,s,e){a.generic_area_legend(this.visuals,t,s,e)}_bounds({x0:t,x1:s,y0:e,y1:i}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:e-this.max_h2,y1:i+this.max_h2}}}e.RectView=l,l.__name__=\"RectView\";class o extends h.CenterRotatable{constructor(t){super(t)}static init_Rect(){this.prototype.default_view=l,this.define({dilate:[r.Boolean,!1]})}}e.Rect=o,o.__name__=\"Rect\",o.init_Rect()},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1).__importStar(e(93)),n=e(23),r=e(85),h=e(89),_=e(92),a=e(79);class c extends h.GlyphView{_index_data(){const e=[];for(let s=0,t=this._x0.length;s<t;s++){const t=this._x0[s],i=this._x1[s],n=this._y0[s],r=this._y1[s];isNaN(t+i+n+r)||e.push({x0:Math.min(t,i),y0:Math.min(n,r),x1:Math.max(t,i),y1:Math.max(n,r),i:s})}return new r.SpatialIndex(e)}_render(e,s,{sx0:t,sy0:i,sx1:n,sy1:r}){if(this.visuals.line.doit)for(const h of s)isNaN(t[h]+i[h]+n[h]+r[h])||(e.beginPath(),e.moveTo(t[h],i[h]),e.lineTo(n[h],r[h]),this.visuals.line.set_vectorize(e,h),e.stroke())}_hit_point(e){const{sx:s,sy:t}=e,n={x:s,y:t},[r,h]=this.renderer.xscale.r_invert(s-2,s+2),[_,c]=this.renderer.yscale.r_invert(t-2,t+2),o=this.index.indices({x0:r,y0:_,x1:h,y1:c}),x=[];for(const e of o){const s=Math.max(2,this.visuals.line.cache_select(\"line_width\",e)/2)**2,t={x:this.sx0[e],y:this.sy0[e]},r={x:this.sx1[e],y:this.sy1[e]};i.dist_to_segment_squared(n,t,r)<s&&x.push(e)}return new a.Selection({indices:x})}_hit_span(e){const[s,t]=this.renderer.plot_view.frame.bbox.ranges,{sx:i,sy:n}=e;let r,h,_;\"v\"==e.direction?(_=this.renderer.yscale.invert(n),[r,h]=[this._y0,this._y1]):(_=this.renderer.xscale.invert(i),[r,h]=[this._x0,this._x1]);const c=[],[o,x]=this.renderer.xscale.r_invert(s.start,s.end),[l,d]=this.renderer.yscale.r_invert(t.start,t.end),y=this.index.indices({x0:o,y0:l,x1:x,y1:d});for(const s of y){(r[s]<=_&&_<=h[s]||h[s]<=_&&_<=r[s])&&c.push(s);const t=1.5+this.visuals.line.cache_select(\"line_width\",s)/2;r[s]==h[s]&&(\"h\"==e.direction?Math.abs(this.sx0[s]-i)<=t&&c.push(s):Math.abs(this.sy0[s]-n)<=t&&c.push(s))}return new a.Selection({indices:c})}scenterx(e){return(this.sx0[e]+this.sx1[e])/2}scentery(e){return(this.sy0[e]+this.sy1[e])/2}draw_legend_for_index(e,s,t){_.generic_line_legend(this.visuals,e,s,t)}}t.SegmentView=c,c.__name__=\"SegmentView\";class o extends h.Glyph{constructor(e){super(e)}static init_Segment(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"]]),this.mixins(n.LineVector)}}t.Segment=o,o.__name__=\"Segment\",o.init_Segment()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(84),o=e(92),r=e(23),l=n.__importStar(e(18));class a extends s.XYGlyphView{_render(e,t,{sx:i,sy:n}){let s=!1,o=null;this.visuals.line.set_value(e);const r=t.length;if(!(r<2)){e.beginPath(),e.moveTo(i[0],n[0]);for(const r of t){let t,l,a,_;switch(this.model.mode){case\"before\":[t,a]=[i[r-1],n[r]],[l,_]=[i[r],n[r]];break;case\"after\":[t,a]=[i[r],n[r-1]],[l,_]=[i[r],n[r]];break;case\"center\":{const e=(i[r-1]+i[r])/2;[t,a]=[e,n[r-1]],[l,_]=[e,n[r]];break}default:throw new Error(\"unexpected\")}if(s){if(!isFinite(i[r]+n[r])){e.stroke(),e.beginPath(),s=!1,o=r;continue}null!=o&&r-o>1&&(e.stroke(),s=!1)}s?(e.lineTo(t,a),e.lineTo(l,_)):(e.beginPath(),e.moveTo(i[r],n[r]),s=!0),o=r}e.lineTo(i[r-1],n[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}}i.StepView=a,a.__name__=\"StepView\";class _ extends s.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=a,this.mixins(r.LineVector),this.define({mode:[l.StepMode,\"before\"]})}}i.Step=_,_.__name__=\"Step\",_.init_Step()},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(84),_=t(23),o=i.__importStar(t(93)),h=i.__importStar(t(18)),r=t(132),l=t(11),a=t(79);class c extends n.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,{sx:s,sy:i,_x_offset:n,_y_offset:_,_angle:o,_text:h}){this._sys=[],this._sxs=[];for(const l of e)if(this._sxs[l]=[],this._sys[l]=[],!isNaN(s[l]+i[l]+n[l]+_[l]+o[l])&&null!=h[l]&&this.visuals.text.doit){const e=\"\"+h[l];t.save(),t.translate(s[l]+n[l],i[l]+_[l]),t.rotate(o[l]),this.visuals.text.set_vectorize(t,l);const a=this.visuals.text.cache_select(\"font\",l),{height:c}=r.measure_font(a),x=this.visuals.text.text_line_height.value()*c;if(-1==e.indexOf(\"\\n\")){t.fillText(e,0,0);const o=s[l]+n[l],h=i[l]+_[l],r=t.measureText(e).width,[a,c]=this._text_bounds(o,h,r,x);this._sxs[l].push(a),this._sys[l].push(c)}else{const o=e.split(\"\\n\"),h=x*o.length,r=this.visuals.text.cache_select(\"text_baseline\",l);let a;switch(r){case\"top\":a=0;break;case\"middle\":a=-h/2+x/2;break;case\"bottom\":a=-h+x;break;default:a=0,console.warn(`'${r}' baseline not supported with multi line text`)}for(const e of o){t.fillText(e,0,a);const o=s[l]+n[l],h=a+i[l]+_[l],r=t.measureText(e).width,[c,u]=this._text_bounds(o,h,r,x);this._sxs[l].push(c),this._sys[l].push(u),a+=x}}t.restore()}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t<this._sxs.length;t++){const n=this._sxs[t],_=this._sys[t],h=n.length;for(let r=0,l=h;r<l;r++){const[l,a]=this._rotate_point(e,s,n[h-1][0],_[h-1][0],-this._angle[t]);o.point_in_poly(l,a,n[r],_[r])&&i.push(t)}}return new a.Selection({indices:i})}_scenterxy(t){const e=this._sxs[t],s=this._sys[t];l.assert(0!=e.length&&0!=s.length);const i=e[0][0],n=s[0][0],_=(e[0][2]+i)/2,o=(s[0][2]+n)/2,[h,r]=this._rotate_point(_,o,i,n,this._angle[t]);return{x:h,y:r}}scenterx(t){return this._scenterxy(t).x}scentery(t){return this._scenterxy(t).y}}s.TextView=c,c.__name__=\"TextView\";class x extends n.XYGlyph{constructor(t){super(t)}static init_Text(){this.prototype.default_view=c,this.mixins(_.TextVector),this.define({text:[h.NullStringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,0],y_offset:[h.NumberSpec,0]})}}s.Text=x,x.__name__=\"Text\",x.init_Text()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class o extends h.BoxView{scenterx(t){return this.sx[t]}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._x.length)}_lrtb(t){return[this._x[t]-this._width[t]/2,this._x[t]+this._width[t]/2,Math.max(this._top[t],this._bottom[t]),Math.min(this._top[t],this._bottom[t])]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new Float64Array(t),this.sright=new Float64Array(t);for(let s=0;s<t;s++)this.sleft[s]=this.sx[s]-this.sw[s]/2,this.sright[s]=this.sx[s]+this.sw[s]/2;this._clamp_viewport()}}e.VBarView=o,o.__name__=\"VBarView\";class _ extends h.Box{constructor(t){super(t)}static init_VBar(){this.prototype.default_view=o,this.coords([[\"x\",\"bottom\"]]),this.define({width:[r.NumberSpec],top:[r.CoordinateSpec]}),this.override({bottom:0})}}e.VBar=_,_.__name__=\"VBar\",_.init_VBar()},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),d=e(10),o=e(79);class l extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,s,{sx:t,sy:i,sradius:r,_start_angle:n,_end_angle:a}){const _=this.model.properties.direction.value();for(const d of s)isNaN(t[d]+i[d]+r[d]+n[d]+a[d])||(e.beginPath(),e.arc(t[d],i[d],r[d],n[d],a[d],_),e.lineTo(t[d],i[d]),e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,d),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,d),e.stroke()))}_hit_point(e){let s,t,i,r,n,a,_,l,c;const{sx:h,sy:u}=e,p=this.renderer.xscale.invert(h),x=this.renderer.yscale.invert(u),g=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=p-g,_=p+g,l=x-g,c=x+g):(t=h-g,i=h+g,[a,_]=this.renderer.xscale.r_invert(t,i),r=u-g,n=u+g,[l,c]=this.renderer.yscale.r_invert(r,n));const y=[];for(const e of this.index.indices({x0:a,x1:_,y0:l,y1:c})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(p,this._x[e]),[r,n]=this.renderer.yscale.r_compute(x,this._y[e]),s=(t-i)**2+(r-n)**2,s<=a&&y.push([e,s])}const f=this.model.properties.direction.value(),v=[];for(const[e,s]of y){const t=Math.atan2(u-this.sy[e],h-this.sx[e]);d.angle_between(-t,-this._start_angle[e],-this._end_angle[e],f)&&v.push([e,s])}return o.Selection.from_hits(v)}draw_legend_for_index(e,s,t){n.generic_area_legend(this.visuals,e,s,t)}_scenterxy(e){const s=this.sradius[e]/2,t=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+s*Math.cos(t),y:this.sy[e]+s*Math.sin(t)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}t.WedgeView=l,l.__name__=\"WedgeView\";class c extends r.XYGlyph{constructor(e){super(e)}static init_Wedge(){this.prototype.default_view=l,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}t.Wedge=c,c.__name__=\"Wedge\",c.init_Wedge()},\n",
+       "      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const r=e(1);r.__exportStar(e(101),_),r.__exportStar(e(239),_),r.__exportStar(e(240),_)},\n",
+       "      function _(e,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=e(71);class n extends t.Model{constructor(e){super(e)}}r.LayoutProvider=n,n.__name__=\"LayoutProvider\"},\n",
+       "      function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(1),r=t(239),s=o.__importStar(t(18));class n extends r.LayoutProvider{constructor(t){super(t)}static init_StaticLayoutProvider(){this.define({graph_layout:[s.Any,{}]})}get_node_coordinates(t){const a=[],e=[],o=t.data.index;for(let t=0,r=o.length;t<r;t++){const r=this.graph_layout[o[t]],[s,n]=null!=r?r:[NaN,NaN];a.push(s),e.push(n)}return[a,e]}get_edge_coordinates(t){const a=[],e=[],o=t.data.start,r=t.data.end,s=null!=t.data.xs&&null!=t.data.ys;for(let n=0,u=o.length;n<u;n++){const u=null!=this.graph_layout[o[n]]&&null!=this.graph_layout[r[n]];if(s&&u)a.push(t.data.xs[n]),e.push(t.data.ys[n]);else{let t,s;[s,t]=u?[this.graph_layout[o[n]],this.graph_layout[r[n]]]:[[NaN,NaN],[NaN,NaN]],a.push([s[0],t[0]]),e.push([s[1],t[1]])}}return[a,e]}}e.StaticLayoutProvider=n,n.__name__=\"StaticLayoutProvider\",n.init_StaticLayoutProvider()},\n",
+       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var i=e(242);d.Grid=i.Grid},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),s=e(151),r=n.__importStar(e(23)),_=n.__importStar(e(18)),o=e(8);class a extends s.GuideRendererView{render(){if(!this.model.visible)return;const e=this.layer.ctx;e.save(),this._draw_regions(e),this._draw_minor_grids(e),this._draw_grids(e),e.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render())}_draw_regions(e){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;this.visuals.band_fill.set_value(e);const[i,t]=this.grid_coords(\"major\",!1);for(let n=0;n<i.length-1;n++){if(n%2!=1)continue;const[s,r]=this.plot_view.map_to_screen(i[n],t[n],this.model.x_range_name,this.model.y_range_name),[_,o]=this.plot_view.map_to_screen(i[n+1],t[n+1],this.model.x_range_name,this.model.y_range_name);this.visuals.band_fill.doit&&e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0]),this.visuals.band_hatch.doit2(e,n,()=>{e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0])},()=>this.request_render())}}_draw_grids(e){if(!this.visuals.grid_line.doit)return;const[i,t]=this.grid_coords(\"major\");this._draw_grid_helper(e,this.visuals.grid_line,i,t)}_draw_minor_grids(e){if(!this.visuals.minor_grid_line.doit)return;const[i,t]=this.grid_coords(\"minor\");this._draw_grid_helper(e,this.visuals.minor_grid_line,i,t)}_draw_grid_helper(e,i,t,n){i.set_value(e);for(let i=0;i<t.length;i++){const[s,r]=this.plot_view.map_to_screen(t[i],n[i],this.model.x_range_name,this.model.y_range_name);e.beginPath(),e.moveTo(Math.round(s[0]),Math.round(r[0]));for(let i=1;i<s.length;i++)e.lineTo(Math.round(s[i]),Math.round(r[i]));e.stroke()}}ranges(){const e=this.model.dimension,i=(e+1)%2,t=this.plot_view.frame,n=[t.x_ranges[this.model.x_range_name],t.y_ranges[this.model.y_range_name]];return[n[e],n[i]]}computed_bounds(){const[e]=this.ranges(),i=this.model.bounds,t=[e.min,e.max];let n,s;if(o.isArray(i))n=Math.min(i[0],i[1]),s=Math.max(i[0],i[1]),n<t[0]&&(n=t[0]),s>t[1]&&(s=t[1]);else{[n,s]=t;for(const e of this.plot_view.axis_views)e.dimension==this.model.dimension&&e.model.x_range_name==this.model.x_range_name&&e.model.y_range_name==this.model.y_range_name&&([n,s]=e.computed_bounds)}return[n,s]}grid_coords(e,i=!0){const t=this.model.dimension,n=(t+1)%2,[s,r]=this.ranges();let[_,o]=this.computed_bounds();[_,o]=[Math.min(_,o),Math.max(_,o)];const a=[[],[]],d=this.model.get_ticker();if(null==d)return a;const l=d.get_ticks(_,o,s,r.min,{})[e],h=s.min,m=s.max,c=r.min,u=r.max;i||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=m&&l.push(m));for(let e=0;e<l.length;e++){if((l[e]==h||l[e]==m)&&i)continue;const s=[],r=[],_=2;for(let i=0;i<_;i++){const t=c+(u-c)/(_-1)*i;s.push(l[e]),r.push(t)}a[t].push(s),a[n].push(r)}return a}}t.GridView=a,a.__name__=\"GridView\";class d extends s.GuideRenderer{constructor(e){super(e)}static init_Grid(){this.prototype.default_view=a,this.mixins([[\"grid_\",r.Line],[\"minor_grid_\",r.Line],[\"band_\",r.Fill],[\"band_\",r.Hatch]]),this.define({bounds:[_.Any,\"auto\"],dimension:[_.Any,0],axis:[_.Instance],ticker:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}t.Grid=d,d.__name__=\"Grid\",d.init_Grid()},\n",
+       "      function _(a,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});var e=a(244);r.Box=e.Box;var v=a(247);r.Column=v.Column;var x=a(248);r.GridBox=x.GridBox;var B=a(249);r.HTMLBox=B.HTMLBox;var n=a(245);r.LayoutDOM=n.LayoutDOM;var t=a(250);r.Row=t.Row;var u=a(251);r.Spacer=u.Spacer;var d=a(252);r.Panel=d.Panel,r.Tabs=d.Tabs;var i=a(259);r.WidgetBox=i.WidgetBox},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(245),o=n.__importStar(e(18));class c extends s.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends s.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define({children:[o.Array,[]],spacing:[o.Number,0]})}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n",
+       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(71),l=t(68),n=t(72),h=t(8),a=s.__importStar(t(18)),_=t(99),r=t(66),d=t(246);class u extends r.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval(()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))},250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],()=>this.invalidate_layout()),this.on_change([t.background,t.css_classes],()=>this.invalidate_render())}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map(t=>this._child_views.get(t))}async build_child_views(){await _.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),l.empty(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?t:\"\",l.classes(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_root?this.layout.sizing.margin:void 0;l.position(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build()}build(){return this.assert_root(),this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),n.logger.debug(`layout computed in ${Date.now()-t} ms`),this.notify_finished()}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:a,height:_}=this.model;null!=a&&(o.width=a),null!=_&&(o.height=_);const{max_width:r,max_height:d}=this.model;null!=r&&(o.max_width=r),null!=d&&(o.max_height=d),\"auto\"==e&&null!=a&&null!=_?o.aspect=a/_:h.isNumber(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if(h.isNumber(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:c}=this.model;return h.isArray(c)?[o.halign,o.valign]=c:o.halign=o.valign=c,o}_viewport_size(){return l.undisplayed(this.el,()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(d.bk_root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=l.extents(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=l.extents(t),{width:n,height:h}=t.getBoundingClientRect(),a=Math.ceil(n-i-e),_=Math.ceil(h-s-o);if(a>0||_>0)return{width:a>0?a:void 0,height:_>0?_:void 0}}return{}})}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map(t=>t.serializable_state())})}}e.LayoutDOMView=u,u.__name__=\"LayoutDOMView\";class c extends o.Model{constructor(t){super(t)}static init_LayoutDOM(){this.define({width:[a.Number,null],height:[a.Number,null],min_width:[a.Number,null],min_height:[a.Number,null],max_width:[a.Number,null],max_height:[a.Number,null],margin:[a.Any,[0,0,0,0]],width_policy:[a.Any,\"auto\"],height_policy:[a.Any,\"auto\"],aspect_ratio:[a.Any,null],sizing_mode:[a.SizingMode,null],visible:[a.Boolean,!0],disabled:[a.Boolean,!1],align:[a.Any,\"start\"],background:[a.Color,null],css_classes:[a.Array,[]]})}}e.LayoutDOM=c,c.__name__=\"LayoutDOM\",c.init_LayoutDOM()},\n",
+       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_root=\"bk-root\"},\n",
+       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),n=t(192),l=s.__importStar(t(18));class u extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new n.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class _ extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define({rows:[l.Any,\"auto\"]})}}i.Column=_,_.__name__=\"Column\",_.init_Column()},\n",
+       "      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1),e=t(245),n=t(192),l=o.__importStar(t(18));class r extends e.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children.map(([t])=>t)}_update_layout(){this.layout=new n.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,i,s,o,e]of this.model.children){const n=this._child_views.get(t);this.layout.items.push({layout:n.layout,row:i,col:s,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}s.GridBoxView=r,r.__name__=\"GridBoxView\";class a extends e.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=r,this.define({children:[l.Array,[]],rows:[l.Any,\"auto\"],cols:[l.Any,\"auto\"],spacing:[l.Any,0]})}}s.GridBox=a,a.__name__=\"GridBox\",a.init_GridBox()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(245),_=e(188);class n extends s.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new _.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=n,n.__name__=\"HTMLBoxView\";class i extends s.LayoutDOM{constructor(e){super(e)}}o.HTMLBox=i,i.__name__=\"HTMLBox\"},\n",
+       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),_=t(192),a=s.__importStar(t(18));class n extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new _.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=n,n.__name__=\"RowView\";class l extends e.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=n,this.define({cols:[a.Any,\"auto\"]})}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(245),s=e(188);class _ extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new s.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=_,_.__name__=\"SpacerView\";class o extends i.LayoutDOM{constructor(e){super(e)}static init_Spacer(){this.prototype.default_view=_}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(188),l=e(68),h=e(9),o=i.__importStar(e(18)),c=e(245),d=e(71),r=e(146),n=e(253),_=e(254),b=e(255),p=i.__importDefault(e(256)),u=i.__importDefault(e(257)),m=i.__importDefault(e(258));class v extends c.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,()=>this.rebuild()),this.connect(this.model.properties.active.change,()=>this.on_active_change())}styles(){return[...super.styles(),p.default,u.default,m.default]}get child_models(){return this.model.tabs.map(e=>e.child)}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const a=l.size(s),o=l.children(i).slice(0,3).map(e=>l.size(e)),{width:c,height:d}=super._measure(e);if(t){const t=a.width+h.sum(o.map(e=>e.width));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+h.sum(o.map(e=>e.height));return{width:c,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let o=1,c=1;switch(e){case\"above\":o-=1;break;case\"below\":o+=1;break;case\"left\":c-=1;break;case\"right\":c+=1}const d={layout:this.header,row:o,col:c},r=this.child_views.map(e=>({layout:e.layout,row:1,col:1}));this.layout=new a.Grid([d,...r]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",l.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=l.size(this.scroll_el),i=l.scroll_size(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",l.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",l.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)l.hide(e.el);const h=a[this.model.active];null!=h&&l.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map((t,s)=>{const i=l.div({class:[n.bk_tab,s==e?r.bk_active:null]},t.title);if(i.addEventListener(\"click\",e=>{e.target==e.currentTarget&&this.change_active(s)}),t.closable){const e=l.div({class:n.bk_close});e.addEventListener(\"click\",e=>{if(e.target==e.currentTarget){this.model.tabs=h.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}}),i.appendChild(e)}return i});this.headers_el=l.div({class:[n.bk_headers]},i),this.wrapper_el=l.div({class:n.bk_headers_wrapper},this.headers_el);const a=l.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},l.div({class:[b.bk_caret,r.bk_left]})),o=l.div({class:[_.bk_btn,_.bk_btn_default]},l.div({class:[b.bk_caret,r.bk_right]}));let c=0;const d=e=>()=>{const t=this.model.tabs.length;c=\"left\"==e?Math.max(c-1,0):Math.min(c+1,t-1),0==c?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),c==t-1?o.setAttribute(\"disabled\",\"\"):o.removeAttribute(\"disabled\");const i=l.children(this.headers_el).slice(0,c).map(e=>e.getBoundingClientRect());if(s){const e=-h.sum(i.map(e=>e.width));this.headers_el.style.left=e+\"px\"}else{const e=-h.sum(i.map(e=>e.height));this.headers_el.style.top=e+\"px\"}};a.addEventListener(\"click\",d(\"left\")),o.addEventListener(\"click\",d(\"right\")),this.scroll_el=l.div({class:_.bk_btn_group},a,o),this.header_el=l.div({class:[n.bk_tabs_header,r.bk_side(t)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=l.children(this.headers_el);for(const e of t)e.classList.remove(r.bk_active);t[e].classList.add(r.bk_active);const{child_views:s}=this;for(const e of s)l.hide(e.el);l.show(s[e].el)}}s.TabsView=v,v.__name__=\"TabsView\";class g extends c.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=v,this.define({tabs:[o.Array,[]],tabs_location:[o.Location,\"above\"],active:[o.Number,0]})}}s.Tabs=g,g.__name__=\"Tabs\",g.init_Tabs();class w extends d.Model{constructor(e){super(e)}static init_Panel(){this.define({title:[o.String,\"\"],child:[o.Instance],closable:[o.Boolean,!1]})}}s.Panel=w,w.__name__=\"Panel\",w.init_Panel()},\n",
+       "      function _(e,b,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.bk_tabs_header=\"bk-tabs-header\",a.bk_headers_wrapper=\"bk-headers-wrapper\",a.bk_headers=\"bk-headers\",a.bk_tab=\"bk-tab\",a.bk_close=\"bk-close\"},\n",
+       "      function _(n,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_btn=\"bk-btn\",t.bk_btn_group=\"bk-btn-group\",t.bk_btn_default=\"bk-btn-default\",t.bk_btn_primary=\"bk-btn-primary\",t.bk_btn_success=\"bk-btn-success\",t.bk_btn_warning=\"bk-btn-warning\",t.bk_btn_danger=\"bk-btn-danger\",t.bk_btn_type=function(n){switch(n){case\"default\":return t.bk_btn_default;case\"primary\":return t.bk_btn_primary;case\"success\":return t.bk_btn_success;case\"warning\":return t.bk_btn_warning;case\"danger\":return t.bk_btn_danger}},t.bk_dropdown_toggle=\"bk-dropdown-toggle\"},\n",
+       "      function _(e,b,d){Object.defineProperty(d,\"__esModule\",{value:!0}),d.bk_menu=\"bk-menu\",d.bk_caret=\"bk-caret\",d.bk_divider=\"bk-divider\"},\n",
+       "      function _(n,o,b){Object.defineProperty(b,\"__esModule\",{value:!0});b.default=\"\\n.bk-root .bk-btn {\\n  height: 100%;\\n  display: inline-block;\\n  text-align: center;\\n  vertical-align: middle;\\n  white-space: nowrap;\\n  cursor: pointer;\\n  padding: 6px 12px;\\n  font-size: 12px;\\n  border: 1px solid transparent;\\n  border-radius: 4px;\\n  outline: 0;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-btn:hover,\\n.bk-root .bk-btn:focus {\\n  text-decoration: none;\\n}\\n.bk-root .bk-btn:active,\\n.bk-root .bk-btn.bk-active {\\n  background-image: none;\\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\\n}\\n.bk-root .bk-btn[disabled] {\\n  cursor: not-allowed;\\n  pointer-events: none;\\n  opacity: 0.65;\\n  box-shadow: none;\\n}\\n.bk-root .bk-btn-default {\\n  color: #333;\\n  background-color: #fff;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n  background-color: #f5f5f5;\\n  border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n  background-color: #ebebeb;\\n  border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n  background-color: #e6e6e6;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n  color: #fff;\\n  background-color: #428bca;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n  background-color: #3681c1;\\n  border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n  background-color: #3276b1;\\n  border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n  background-color: #506f89;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n  color: #fff;\\n  background-color: #5cb85c;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n  background-color: #4eb24e;\\n  border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n  background-color: #47a447;\\n  border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n  background-color: #667b66;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n  color: #fff;\\n  background-color: #f0ad4e;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n  background-color: #eea43b;\\n  border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n  background-color: #ed9c28;\\n  border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n  background-color: #c89143;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n  color: #fff;\\n  background-color: #d9534f;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n  background-color: #d5433e;\\n  border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n  background-color: #d2322d;\\n  border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n  background-color: #a55350;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n  height: 100%;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n  margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n  border-bottom-right-radius: 0;\\n  border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n  border-bottom-left-radius: 0;\\n  border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n  border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n  flex: 0 0 0;\\n  -webkit-flex: 0 0 0;\\n  padding: 6px 6px;\\n}\\n\"},\n",
+       "      function _(n,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});r.default=\"\\n.bk-root .bk-menu-icon {\\n  width: 28px;\\n  height: 28px;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-context-menu {\\n  position: absolute;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n  width: auto;\\n  height: auto;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-context-menu.bk-horizontal {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-context-menu.bk-vertical {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-context-menu > .bk-divider {\\n  cursor: default;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > .bk-divider {\\n  width: 1px;\\n  margin: 5px 0;\\n}\\n.bk-root .bk-context-menu.bk-vertical > .bk-divider {\\n  height: 1px;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider) {\\n  border: 1px solid transparent;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider).bk-active {\\n  border-color: #26aae1;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider):hover {\\n  background-color: #f9f9f9;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-bottom-left-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child {\\n  border-top-right-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-top-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child {\\n  border-bottom-left-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-menu {\\n  position: absolute;\\n  left: 0;\\n  width: 100%;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n  bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n  top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n  height: 1px;\\n  margin: 7.5px 0;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n  padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n  background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n  display: inline-block;\\n  vertical-align: middle;\\n  width: 0;\\n  height: 0;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-caret.bk-down {\\n  border-top: 4px solid;\\n}\\n.bk-root .bk-caret.bk-up {\\n  border-bottom: 4px solid;\\n}\\n.bk-root .bk-caret.bk-down,\\n.bk-root .bk-caret.bk-up {\\n  border-right: 4px solid transparent;\\n  border-left: 4px solid transparent;\\n}\\n.bk-root .bk-caret.bk-left {\\n  border-right: 4px solid;\\n}\\n.bk-root .bk-caret.bk-right {\\n  border-left: 4px solid;\\n}\\n.bk-root .bk-caret.bk-left,\\n.bk-root .bk-caret.bk-right {\\n  border-top: 4px solid transparent;\\n  border-bottom: 4px solid transparent;\\n}\\n\"},\n",
+       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default='\\n.bk-root .bk-tabs-header {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  overflow: hidden;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group {\\n  height: auto;\\n  margin-right: 5px;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group > .bk-btn {\\n  flex-grow: 0;\\n  -webkit-flex-grow: 0;\\n  height: auto;\\n  padding: 4px 4px;\\n}\\n.bk-root .bk-tabs-header .bk-headers-wrapper {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  overflow: hidden;\\n  color: #666666;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper {\\n  border-bottom: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper {\\n  border-left: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper {\\n  border-top: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper {\\n  border-right: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-above,\\n.bk-root .bk-tabs-header.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers,\\n.bk-root .bk-tabs-header.bk-below .bk-headers {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-left,\\n.bk-root .bk-tabs-header.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers,\\n.bk-root .bk-tabs-header.bk-right .bk-headers {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header .bk-headers {\\n  position: relative;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n}\\n.bk-root .bk-tabs-header .bk-tab {\\n  padding: 4px 8px;\\n  border: solid transparent;\\n  white-space: nowrap;\\n  cursor: pointer;\\n}\\n.bk-root .bk-tabs-header .bk-tab:hover {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .bk-tabs-header .bk-tab.bk-active {\\n  color: #4d4d4d;\\n  background-color: white;\\n  border-color: #e6e6e6;\\n}\\n.bk-root .bk-tabs-header .bk-tab .bk-close {\\n  margin-left: 10px;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-tab {\\n  border-width: 3px 1px 0px 1px;\\n  border-radius: 4px 4px 0 0;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-tab {\\n  border-width: 1px 3px 1px 0px;\\n  border-radius: 0 4px 4px 0;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-tab {\\n  border-width: 0px 1px 3px 1px;\\n  border-radius: 0 0 4px 4px;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-tab {\\n  border-width: 1px 0px 1px 3px;\\n  border-radius: 4px 0 0 4px;\\n}\\n.bk-root .bk-close {\\n  display: inline-block;\\n  width: 10px;\\n  height: 10px;\\n  vertical-align: middle;\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"gray\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"gray\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n.bk-root .bk-close:hover {\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"red\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"red\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n'},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(247);class _ extends o.ColumnView{}i.WidgetBoxView=_,_.__name__=\"WidgetBoxView\";class n extends o.Column{constructor(e){super(e)}static init_WidgetBox(){this.prototype.default_view=_}}i.WidgetBox=n,n.__name__=\"WidgetBox\",n.init_WidgetBox()},\n",
+       "      function _(r,a,o){Object.defineProperty(o,\"__esModule\",{value:!0});var e=r(261);o.CategoricalColorMapper=e.CategoricalColorMapper;var p=r(263);o.CategoricalMarkerMapper=p.CategoricalMarkerMapper;var l=r(264);o.CategoricalPatternMapper=l.CategoricalPatternMapper;var C=r(116);o.ContinuousColorMapper=C.ContinuousColorMapper;var M=r(117);o.ColorMapper=M.ColorMapper;var t=r(115);o.LinearColorMapper=t.LinearColorMapper;var i=r(265);o.LogColorMapper=i.LogColorMapper},\n",
+       "      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),a=r(262),c=r(117),i=o.__importStar(r(18));class s extends c.ColorMapper{constructor(r){super(r)}static init_CategoricalColorMapper(){this.define({factors:[i.Array],start:[i.Number,0],end:[i.Number]})}_v_compute(r,t,e,{nan_color:o}){a.cat_v_compute(r,this.factors,e,t,this.start,this.end,o)}}e.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(12),i=e(8);function u(e,n){if(e.length!=n.length)return!1;for(let t=0,l=e.length;t<l;t++)if(e[t]!==n[t])return!1;return!0}t._cat_equals=u,t.cat_v_compute=function(e,n,t,c,f,o,r){for(let _=0,g=e.length;_<g;_++){let g,s,d=e[_];i.isString(d)?g=l.index_of(n,d):(null!=f?d=null!=o?d.slice(f,o):d.slice(f):null!=o&&(d=d.slice(0,o)),g=1==d.length?l.index_of(n,d[0]):l.find_index(n,e=>u(e,d))),s=g<0||g>=t.length?r:t[g],c[_]=s}}},\n",
+       "      function _(r,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const t=r(1),s=r(262),i=r(118),c=t.__importStar(r(18));class n extends i.Mapper{constructor(r){super(r)}static init_CategoricalMarkerMapper(){this.define({factors:[c.Array],markers:[c.Array],start:[c.Number,0],end:[c.Number],default_value:[c.MarkerType,\"circle\"]})}v_compute(r){const e=new Array(r.length);return s.cat_v_compute(r,this.factors,this.markers,e,this.start,this.end,this.default_value),e}}a.CategoricalMarkerMapper=n,n.__name__=\"CategoricalMarkerMapper\",n.init_CategoricalMarkerMapper()},\n",
+       "      function _(t,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=t(1),n=t(262),s=t(118),i=r.__importStar(t(18));class c extends s.Mapper{constructor(t){super(t)}static init_CategoricalPatternMapper(){this.define({factors:[i.Array],patterns:[i.Array],start:[i.Number,0],end:[i.Number],default_value:[i.HatchPatternType,\" \"]})}v_compute(t){const e=new Array(t.length);return n.cat_v_compute(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=c,c.__name__=\"CategoricalPatternMapper\",c.init_CategoricalPatternMapper()},\n",
+       "      function _(o,l,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=o(116),e=o(12);class i extends t.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,l,n,t){const{nan_color:i,low_color:h,high_color:c}=t,r=n.length,s=null!=this.low?this.low:e.min(o),u=null!=this.high?this.high:e.max(o),a=r/(Math.log(u)-Math.log(s)),g=n.length-1;for(let t=0,e=o.length;t<e;t++){const e=o[t];if(isNaN(e)){l[t]=i;continue}if(e>u){l[t]=null!=c?c:n[g];continue}if(e==u){l[t]=n[g];continue}if(e<s){l[t]=null!=h?h:n[0];continue}const r=Math.log(e)-Math.log(s);let _=Math.floor(r*a);_>g&&(_=g),l[t]=n[_]}}}n.LogColorMapper=i,i.__name__=\"LogColorMapper\"},\n",
+       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0}),e(1).__exportStar(e(267),t);var a=e(268);t.Marker=a.Marker;var _=e(269);t.Scatter=_.Scatter},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(268),r=Math.sqrt(3);function n(e,t){e.rotate(Math.PI/4),c(e,t),e.rotate(-Math.PI/4)}function s(e,t){const o=t*r,i=o/3;e.moveTo(-o/2,-i),e.lineTo(0,0),e.lineTo(o/2,-i),e.lineTo(0,0),e.lineTo(0,t)}function c(e,t){e.moveTo(0,t),e.lineTo(0,-t),e.moveTo(-t,0),e.lineTo(t,0)}function l(e,t){e.moveTo(0,t),e.lineTo(t/1.5,0),e.lineTo(0,-t),e.lineTo(-t/1.5,0),e.closePath()}function a(e,t){const o=t*r,i=o/3;e.moveTo(-t,i),e.lineTo(t,i),e.lineTo(0,i-o),e.closePath()}function u(e,t,o,i,r){c(e,o),n(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function d(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function v(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),c(e,o),e.stroke())}function _(e,t,o,i,r){d(e,t,o,i,r),m(e,t,o,i,r)}function f(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),s(e,o),e.stroke())}function T(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),n(e,o),e.stroke())}function z(e,t,o,i,r){c(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function k(e,t,o,i,r){l(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function C(e,t,o,i,r){l(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.moveTo(0,o),e.lineTo(0,-o),e.moveTo(-o/1.5,0),e.lineTo(o/1.5,0),e.stroke())}function h(e,t,o,i,r){k(e,t,o,i,r),m(e,t,o,i,r)}function m(e,t,o,i,r){!function(e,t){e.beginPath(),e.arc(0,0,t/4,0,2*Math.PI,!1),e.closePath()}(e,o),i.set_vectorize(e,t),e.fillStyle=e.strokeStyle,e.fill()}function P(e,t,o,i,n){!function(e,t){const o=t/2,i=r*o;e.moveTo(t,0),e.lineTo(o,-i),e.lineTo(-o,-i),e.lineTo(-t,0),e.lineTo(-o,i),e.lineTo(o,i),e.closePath()}(e,o),n.doit&&(n.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function q(e,t,o,i,r){P(e,t,o,i,r),m(e,t,o,i)}function D(e,t,o,i,r){e.rotate(Math.PI),a(e,o),e.rotate(-Math.PI),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function g(e,t,o,i,r){const n=3*o/8,s=[n,n,o,o,n,n,-n,-n,-o,-o,-n,-n],c=[o,n,n,-n,-n,-o,-o,-n,-n,n,n,o];for(e.moveTo(s[0],c[0]),t=1;t<12;t++)e.lineTo(s[t],c[t]);e.closePath(),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function M(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function S(e,t,o,i,r){const n=3*o/8;e.moveTo(-o,-o),e.quadraticCurveTo(0,-n,o,-o),e.quadraticCurveTo(n,0,o,o),e.quadraticCurveTo(0,n,-o,o),e.quadraticCurveTo(-n,0,-o,-o),e.closePath(),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function x(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),c(e,o),e.stroke())}function I(e,t,o,i,r){M(e,t,o,i,r),m(e,t,o,i)}function p(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.moveTo(-o,o),e.lineTo(o,-o),e.moveTo(-o,-o),e.lineTo(o,o),e.stroke())}function y(e,t,o,i,r){a(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function X(e,t,o,i,r){y(e,t,o,i,r),m(e,t,o,i)}function H(e,t,o,i,n){const s=o*r,c=s/3,l=3*c/8;e.moveTo(-o,c),e.quadraticCurveTo(0,l,o,c),e.quadraticCurveTo(r*l/2,l/2,0,c-s),e.quadraticCurveTo(-r*l/2,l/2,-o,c),e.closePath(),n.doit&&(n.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function Y(e,t,o,i,r){!function(e,t){e.moveTo(-t,0),e.lineTo(t,0)}(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function b(e,t,o,i,r){n(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function w(e,t,o,i,r){s(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function A(e,t){var o;const r=class extends i.MarkerView{static initClass(){this.prototype._render_one=t}};r.initClass();const n=((o=class extends i.Marker{static initClass(){this.prototype.default_view=r}}).__name__=e,o);return n.initClass(),n}o.Asterisk=A(\"Asterisk\",u),o.CircleCross=A(\"CircleCross\",v),o.CircleDot=A(\"CircleDot\",_),o.CircleY=A(\"CircleY\",f),o.CircleX=A(\"CircleX\",T),o.Cross=A(\"Cross\",z),o.Dash=A(\"Dash\",Y),o.Diamond=A(\"Diamond\",k),o.DiamondCross=A(\"DiamondCross\",C),o.DiamondDot=A(\"DiamondDot\",h),o.Dot=A(\"Dot\",m),o.Hex=A(\"Hex\",P),o.HexDot=A(\"HexDot\",q),o.InvertedTriangle=A(\"InvertedTriangle\",D),o.Plus=A(\"Plus\",g),o.Square=A(\"Square\",M),o.SquareCross=A(\"SquareCross\",x),o.SquareDot=A(\"SquareDot\",I),o.SquarePin=A(\"SquarePin\",S),o.SquareX=A(\"SquareX\",p),o.Triangle=A(\"Triangle\",y),o.TriangleDot=A(\"TriangleDot\",X),o.TrianglePin=A(\"TrianglePin\",H),o.X=A(\"X\",b),o.Y=A(\"Y\",w),o.marker_funcs={asterisk:u,circle:d,circle_cross:v,circle_dot:_,circle_y:f,circle_x:T,cross:z,diamond:k,diamond_dot:h,diamond_cross:C,dot:m,hex:P,hex_dot:q,inverted_triangle:D,plus:g,square:M,square_cross:x,square_dot:I,square_pin:S,square_x:p,triangle:y,triangle_dot:X,triangle_pin:H,dash:Y,x:b,y:w}},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(23),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(9),c=e(79);class o extends r.XYGlyphView{_render(e,s,{sx:t,sy:i,_size:r,_angle:n}){for(const a of s){if(isNaN(t[a]+i[a]+r[a]+n[a]))continue;const s=r[a]/2;e.beginPath(),e.translate(t[a],i[a]),n[a]&&e.rotate(n[a]),this._render_one(e,a,s,this.visuals.line,this.visuals.fill),n[a]&&e.rotate(-n[a]),e.translate(-t[a],-i[a])}}_mask_data(){const e=this.renderer.plot_view.frame.bbox.h_range,s=e.start-this.max_size,t=e.end+this.max_size,[i,r]=this.renderer.xscale.r_invert(s,t),n=this.renderer.plot_view.frame.bbox.v_range,a=n.start-this.max_size,_=n.end+this.max_size,[h,c]=this.renderer.yscale.r_invert(a,_);return this.index.indices({x0:i,x1:r,y0:h,y1:c})}_hit_point(e){const{sx:s,sy:t}=e,i=s-this.max_size,r=s+this.max_size,[n,a]=this.renderer.xscale.r_invert(i,r),_=t-this.max_size,h=t+this.max_size,[o,x]=this.renderer.yscale.r_invert(_,h),l=this.index.indices({x0:n,x1:a,y0:o,y1:x}),d=[];for(const e of l){const i=this._size[e]/2,r=Math.abs(this.sx[e]-s)+Math.abs(this.sy[e]-t);Math.abs(this.sx[e]-s)<=i&&Math.abs(this.sy[e]-t)<=i&&d.push([e,r])}return c.Selection.from_hits(d)}_hit_span(e){const{sx:s,sy:t}=e,i=this.bounds(),r=this.max_size/2;let n,a,_,h;if(\"h\"==e.direction){_=i.y0,h=i.y1;const e=s-r,t=s+r;[n,a]=this.renderer.xscale.r_invert(e,t)}else{n=i.x0,a=i.x1;const e=t-r,s=t+r;[_,h]=this.renderer.yscale.r_invert(e,s)}const o=this.index.indices({x0:n,x1:a,y0:_,y1:h});return new c.Selection({indices:o})}_hit_rect(e){const{sx0:s,sx1:t,sy0:i,sy1:r}=e,[n,a]=this.renderer.xscale.r_invert(s,t),[_,h]=this.renderer.yscale.r_invert(i,r),o=this.index.indices({x0:n,x1:a,y0:_,y1:h});return new c.Selection({indices:o})}_hit_poly(e){const{sx:s,sy:t}=e,i=h.range(0,this.sx.length),r=[];for(let e=0,n=i.length;e<n;e++){const n=i[e];a.point_in_poly(this.sx[e],this.sy[e],s,t)&&r.push(n)}return new c.Selection({indices:r})}draw_legend_for_index(e,{x0:s,x1:t,y0:i,y1:r},n){const a=n+1,_=new Array(a);_[n]=(s+t)/2;const h=new Array(a);h[n]=(i+r)/2;const c=new Array(a);c[n]=.4*Math.min(Math.abs(t-s),Math.abs(r-i));const o=new Array(a);o[n]=0,this._render(e,[n],{sx:_,sy:h,_size:c,_angle:o})}}t.MarkerView=o,o.__name__=\"MarkerView\";class x extends r.XYGlyph{constructor(e){super(e)}static init_Marker(){this.mixins([n.LineVector,n.FillVector]),this.define({size:[_.DistanceSpec,{units:\"screen\",value:4}],angle:[_.AngleSpec,0]})}}t.Marker=x,x.__name__=\"Marker\",x.init_Marker()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=e(1),s=e(268),n=e(267),i=a.__importStar(e(18));class _ extends s.MarkerView{_render(e,t,{sx:r,sy:a,_size:s,_angle:i,_marker:_}){for(const c of t){if(isNaN(r[c]+a[c]+s[c]+i[c])||null==_[c])continue;const t=s[c]/2;e.beginPath(),e.translate(r[c],a[c]),i[c]&&e.rotate(i[c]),n.marker_funcs[_[c]](e,c,t,this.visuals.line,this.visuals.fill),i[c]&&e.rotate(-i[c]),e.translate(-r[c],-a[c])}}draw_legend_for_index(e,{x0:t,x1:r,y0:a,y1:s},n){const i=n+1,_=new Array(i);_[n]=(t+r)/2;const c=new Array(i);c[n]=(a+s)/2;const o=new Array(i);o[n]=.4*Math.min(Math.abs(r-t),Math.abs(s-a));const l=new Array(i);l[n]=0;const u=new Array(i);u[n]=this._marker[n],this._render(e,[n],{sx:_,sy:c,_size:o,_angle:l,_marker:u})}}r.ScatterView=_,_.__name__=\"ScatterView\";class c extends s.Marker{constructor(e){super(e)}static init_Scatter(){this.prototype.default_view=_,this.define({marker:[i.MarkerSpec,{value:\"circle\"}]})}}r.Scatter=c,c.__name__=\"Scatter\",c.init_Scatter()},\n",
+       "      function _(a,o,p){Object.defineProperty(p,\"__esModule\",{value:!0});var t=a(271);p.MapOptions=t.MapOptions;var e=a(271);p.GMapOptions=e.GMapOptions;var n=a(271);p.GMapPlot=n.GMapPlot;var M=a(272);p.Plot=M.Plot},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),n=t(72),a=t(272),s=o.__importStar(t(18)),p=t(71),r=t(131),_=t(296);i.GMapPlotView=_.GMapPlotView;class l extends p.Model{constructor(t){super(t)}static init_MapOptions(){this.define({lat:[s.Number],lng:[s.Number],zoom:[s.Number,12]})}}i.MapOptions=l,l.__name__=\"MapOptions\",l.init_MapOptions();class c extends l{constructor(t){super(t)}static init_GMapOptions(){this.define({map_type:[s.String,\"roadmap\"],scale_control:[s.Boolean,!1],styles:[s.String],tilt:[s.Int,45]})}}i.GMapOptions=c,c.__name__=\"GMapOptions\",c.init_GMapOptions();class u extends a.Plot{constructor(t){super(t)}static init_GMapPlot(){this.prototype.default_view=_.GMapPlotView,this.define({map_options:[s.Instance],api_key:[s.String]}),this.override({x_range:()=>new r.Range1d,y_range:()=>new r.Range1d})}initialize(){super.initialize(),this.use_map=!0,this.api_key||n.logger.error(\"api_key is required. See https://developers.google.com/maps/documentation/javascript/get-api-key for more information on how to obtain your own.\")}}i.GMapPlot=u,u.__name__=\"GMapPlot\",u.init_GMapPlot()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),o=i.__importStar(e(23)),n=i.__importStar(e(18)),s=e(14),a=e(9),l=e(17),_=e(8),h=e(245),c=e(142),u=e(120),d=e(273),b=e(76),g=e(81),p=e(186),m=e(290);r.PlotView=m.PlotView;class f extends h.LayoutDOM{constructor(e){super(e)}static init_Plot(){this.prototype.default_view=m.PlotView,this.mixins([[\"outline_\",o.Line],[\"background_\",o.Fill],[\"border_\",o.Fill]]),this.define({toolbar:[n.Instance,()=>new d.Toolbar],toolbar_location:[n.Location,\"right\"],toolbar_sticky:[n.Boolean,!0],plot_width:[n.Number,600],plot_height:[n.Number,600],frame_width:[n.Number,null],frame_height:[n.Number,null],title:[n.Any,()=>new c.Title({text:\"\"})],title_location:[n.Location,\"above\"],above:[n.Array,[]],below:[n.Array,[]],left:[n.Array,[]],right:[n.Array,[]],center:[n.Array,[]],renderers:[n.Array,[]],x_range:[n.Instance,()=>new p.DataRange1d],extra_x_ranges:[n.Any,{}],y_range:[n.Instance,()=>new p.DataRange1d],extra_y_ranges:[n.Any,{}],x_scale:[n.Instance,()=>new u.LinearScale],y_scale:[n.Instance,()=>new u.LinearScale],lod_factor:[n.Number,10],lod_interval:[n.Number,300],lod_threshold:[n.Number,2e3],lod_timeout:[n.Number,500],hidpi:[n.Boolean,!0],output_backend:[n.OutputBackend,\"canvas\"],min_border:[n.Number,5],min_border_top:[n.Number,null],min_border_left:[n.Number,null],min_border_bottom:[n.Number,null],min_border_right:[n.Number,null],inner_width:[n.Number],inner_height:[n.Number],outer_width:[n.Number],outer_height:[n.Number],match_aspect:[n.Boolean,!1],aspect_scale:[n.Number,1],reset_policy:[n.ResetPolicy,\"standard\"]}),this.override({outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})}get width(){const e=this.properties.width.get_value();return null!=e?e:this.plot_width}set width(e){this.setv({width:e,plot_width:e})}get height(){const e=this.properties.height.get_value();return null!=e?e:this.plot_height}set height(e){this.setv({height:e,plot_height:e})}_doc_attached(){super._doc_attached(),this._push_changes([[this.properties.inner_height,null,this.inner_height],[this.properties.inner_width,null,this.inner_width]])}initialize(){super.initialize(),this.reset=new s.Signal0(this,\"reset\");for(const e of l.values(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;_.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of l.values(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;_.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const r=this.properties[t].get_value();this.setv({[t]:[...r,e]})}remove_layout(e){const t=t=>{a.remove_by(t,t=>t==e)};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new b.ColumnDataSource,r={}){const i=Object.assign(Object.assign({},r),{data_source:t,glyph:e}),o=new g.GlyphRenderer(i);return this.add_renderers(o),o}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return[...this.side_panels,...this.center]}get side_panels(){const{above:e,below:t,left:r,right:i}=this;return a.concat([e,t,r,i])}}r.Plot=f,f.__name__=\"Plot\",f.init_Plot()},\n",
+       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),c=t(8),o=t(9),n=t(274),a=t(283),l=t=>{switch(t){case\"tap\":return\"active_tap\";case\"pan\":return\"active_drag\";case\"pinch\":case\"scroll\":return\"active_scroll\";case\"multi\":return\"active_multi\"}return null},r=t=>\"tap\"==t||\"pan\"==t;class _ extends a.ToolbarBase{constructor(t){super(t)}static init_Toolbar(){this.prototype.default_view=a.ToolbarBaseView,this.define({active_drag:[i.Any,\"auto\"],active_inspect:[i.Any,\"auto\"],active_scroll:[i.Any,\"auto\"],active_tap:[i.Any,\"auto\"],active_multi:[i.Any,null]})}connect_signals(){super.connect_signals();const{tools:t,active_drag:s,active_inspect:e,active_scroll:i,active_tap:c,active_multi:o}=this.properties;this.on_change([t,s,e,i,c,o],()=>this._init_tools())}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof n.InspectTool){let t=!1;for(const s of this.inspectors)s!=this.active_inspect?s.active=!1:t=!0;t||(this.active_inspect=null)}else if(c.isArray(this.active_inspect)){const t=o.intersection(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)o.includes(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t in this.gestures){const s=this.gestures[t];s.tools=o.sort_by(s.tools,t=>t.default_order);for(const t of s.tools)this.connect(t.properties.active.change,()=>this._active_change(t))}for(const s in this.gestures){const e=l(s);if(e){const i=this[e];if(\"auto\"==i){const e=this.gestures[s];0!=e.tools.length&&r(s)&&t(e.tools[0])}else null!=i&&(o.includes(this.tools,i)?t(i):this[e]=null)}}}}e.Toolbar=_,_.__name__=\"Toolbar\",_.init_Toolbar()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(1),s=e(275),i=e(282),_=n.__importStar(e(18));class c extends s.ButtonToolView{}o.InspectToolView=c,c.__name__=\"InspectToolView\";class l extends s.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}static init_InspectTool(){this.prototype.button_view=i.OnOffButtonView,this.define({toggleable:[_.Boolean,!0]}),this.override({active:!0})}}o.InspectTool=l,l.__name__=\"InspectTool\",l.init_InspectTool()},\n",
+       "      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),s=i.__importDefault(t(276)),n=t(66),l=t(277),r=t(68),a=i.__importStar(t(18)),u=t(24),_=t(8),h=t(9),c=t(278),m=i.__importDefault(t(279)),d=i.__importDefault(t(280)),p=i.__importDefault(t(257)),f=t(281);class g extends n.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,i=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new f.ContextMenu(o?h.reversed(t):t,{orientation:i,prevent_hide:t=>t.target==this.el})}this._hammer=new s.default(this.el,{touchAction:\"auto\",inputClass:s.default.TouchMouseInput}),this.connect(this.model.change,()=>this.render()),this._hammer.on(\"tap\",t=>{var e;(null===(e=this._menu)||void 0===e?void 0:e.is_open)?this._menu.hide():t.target==this.el&&this._clicked()}),this._hammer.on(\"press\",()=>this._pressed())}remove(){var t;this._hammer.destroy(),null===(t=this._menu)||void 0===t||t.remove(),super.remove()}styles(){return[...super.styles(),m.default,d.default,p.default]}css_classes(){return super.css_classes().concat(c.bk_toolbar_button)}render(){r.empty(this.el);const t=this.model.computed_icon;_.isString(t)&&(u.startsWith(t,\"data:image\")?this.el.style.backgroundImage=\"url('\"+t+\"')\":this.el.classList.add(t)),this.el.title=this.model.tooltip,null!=this._menu&&this.root.el.appendChild(this._menu.el)}_pressed(){var t;const{left:e,top:o,right:i,bottom:s}=this.el.getBoundingClientRect(),n=(()=>{switch(this.parent.model.toolbar_location){case\"right\":return{right:e,top:o};case\"left\":return{left:i,top:o};case\"above\":return{left:e,top:s};case\"below\":return{left:e,bottom:o}}})();null===(t=this._menu)||void 0===t||t.toggle(n)}}o.ButtonToolButtonView=g,g.__name__=\"ButtonToolButtonView\";class v extends l.ToolView{}o.ButtonToolView=v,v.__name__=\"ButtonToolView\";class b extends l.Tool{constructor(t){super(t)}static init_ButtonTool(){this.internal({disabled:[a.Boolean,!1]})}get tooltip(){return this.tool_name}get computed_icon(){return this.icon}get menu(){return null}}o.ButtonTool=b,b.__name__=\"ButtonTool\",b.init_ButtonTool()},\n",
+       "      function _(t,e,n){\n",
+       "      /*! Hammer.JS - v2.0.7 - 2016-04-22\n",
+       "           * http://hammerjs.github.io/\n",
+       "           *\n",
+       "           * Copyright (c) 2016 Jorik Tangelder;\n",
+       "           * Licensed under the MIT license */\n",
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i(n){e.manager.emit(n,t)}n<8&&i(e.options.event+ft(n)),i(e.options.event),t.additionalEvent&&i(t.additionalEvent),n>=8&&i(e.options.event+ft(n))},tryEmit:function(t){if(this.canEmit())return this.emit(t);this.state=32},canEmit:function(){for(var t=0;t<this.requireFail.length;){if(!(33&this.requireFail[t].state))return!1;t++}return!0},recognize:function(t){var e=s({},t);if(!T(this.options.enable,[this,e]))return this.reset(),void(this.state=32);56&this.state&&(this.state=1),this.state=this.process(e),30&this.state&&this.tryEmit(e)},process:function(t){},getTouchAction:function(){},reset:function(){}},g(mt,pt,{defaults:{pointers:1},attrTest:function(t){var e=this.options.pointers;return 0===e||t.pointers.length===e},process:function(t){var e=this.state,n=t.eventType,i=6&e,r=this.attrTest(t);return i&&(8&n||!r)?16|e:i||r?4&n?8|e:2&e?4|e:2:32}}),g(gt,mt,{defaults:{event:\"pan\",threshold:10,pointers:1,direction:30},getTouchAction:function(){var t=this.options.direction,e=[];return 6&t&&e.push(\"pan-y\"),24&t&&e.push(\"pan-x\"),e},directionTest:function(t){var e=this.options,n=!0,i=t.distance,r=t.direction,s=t.deltaX,o=t.deltaY;return r&e.direction||(6&e.direction?(r=0===s?1:s<0?2:4,n=s!=this.pX,i=Math.abs(t.deltaX)):(r=0===o?1:o<0?8:16,n=o!=this.pY,i=Math.abs(t.deltaY))),t.direction=r,n&&i>e.threshold&&r&e.direction},attrTest:function(t){return mt.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=vt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(yt,mt,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(Tt,pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[\"auto\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime>e.time;if(this._input=t,!i||!n||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return 32},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Et,mt,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(It,mt,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return gt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,n=this.options.direction;return 30&n?e=t.overallVelocity:6&n?e=t.overallVelocityX:24&n&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&n&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=vt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(At,pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[\"manipulation\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime<e.time;if(this.reset(),1&t.eventType&&0===this.count)return this.failTimeout();if(i&&r&&n){if(4!=t.eventType)return this.failTimeout();var s=!this.pTime||t.timeStamp-this.pTime<e.interval,o=!this.pCenter||L(this.pCenter,t.center)<e.posThreshold;if(this.pTime=t.timeStamp,this.pCenter=t.center,o&&s?this.count+=1:this.count=1,this._input=t,0===this.count%e.taps)return this.hasRequireFailures()?(this._timer=l((function(){this.state=8,this.tryEmit()}),e.interval,this),2):8}return 32},failTimeout:function(){return this._timer=l((function(){this.state=32}),this.options.interval,this),32},reset:function(){clearTimeout(this._timer)},emit:function(){8==this.state&&(this._input.tapCount=this.count,this.manager.emit(this.options.event,this._input))}}),_t.VERSION=\"2.0.7\",_t.defaults={domEvents:!1,touchAction:\"compute\",enable:!0,inputTarget:null,inputClass:null,preset:[[Et,{enable:!1}],[yt,{enable:!1},[\"rotate\"]],[It,{direction:6}],[gt,{direction:6},[\"swipe\"]],[At],[At,{event:\"doubletap\",taps:2},[\"tap\"]],[Tt]],cssProps:{userSelect:\"none\",touchSelect:\"none\",touchCallout:\"none\",contentZooming:\"none\",userDrag:\"none\",tapHighlightColor:\"rgba(0,0,0,0)\"}};function Ct(t,e){var n;this.options=s({},_t.defaults,e||{}),this.options.inputTarget=this.options.inputTarget||t,this.handlers={},this.session={},this.recognizers=[],this.oldCssProps={},this.element=t,this.input=new((n=this).options.inputClass||(M?J:z?nt:R?rt:j))(n,F),this.touchAction=new lt(this,this.options.touchAction),St(this,!0),f(this.options.recognizers,(function(t){var e=this.add(new t[0](t[1]));t[2]&&e.recognizeWith(t[2]),t[3]&&e.requireFailure(t[3])}),this)}function St(t,e){var n,i=t.element;i.style&&(f(t.options.cssProps,(function(r,s){n=D(i.style,s),e?(t.oldCssProps[n]=i.style[n],i.style[n]=r):i.style[n]=t.oldCssProps[n]||\"\"})),e||(t.oldCssProps={}))}Ct.prototype={set:function(t){return s(this.options,t),t.touchAction&&this.touchAction.update(),t.inputTarget&&(this.input.destroy(),this.input.target=t.inputTarget,this.input.init()),this},stop:function(t){this.session.stopped=t?2:1},recognize:function(t){var e=this.session;if(!e.stopped){var n;this.touchAction.preventDefaults(t);var i=this.recognizers,r=e.curRecognizer;(!r||r&&8&r.state)&&(r=e.curRecognizer=null);for(var s=0;s<i.length;)n=i[s],2===e.stopped||r&&n!=r&&!n.canRecognizeWith(r)?n.reset():n.recognize(t),!r&&14&n.state&&(r=e.curRecognizer=n),s++}},get:function(t){if(t instanceof pt)return t;for(var e=this.recognizers,n=0;n<e.length;n++)if(e[n].options.event==t)return e[n];return null},add:function(t){if(p(t,\"add\",this))return this;var e=this.get(t.options.event);return e&&this.remove(e),this.recognizers.push(t),t.manager=this,this.touchAction.update(),t},remove:function(t){if(p(t,\"remove\",this))return this;if(t=this.get(t)){var e=this.recognizers,n=b(e,t);-1!==n&&(e.splice(n,1),this.touchAction.update())}return this},on:function(t,e){if(void 0!==t&&void 0!==e){var n=this.handlers;return f(S(t),(function(t){n[t]=n[t]||[],n[t].push(e)})),this}},off:function(t,e){if(void 0!==t){var n=this.handlers;return f(S(t),(function(t){e?n[t]&&n[t].splice(b(n[t],e),1):delete n[t]})),this}},emit:function(t,e){this.options.domEvents&&function(t,e){var i=n.createEvent(\"Event\");i.initEvent(t,!0,!0),i.gesture=e,e.target.dispatchEvent(i)}(t,e);var i=this.handlers[t]&&this.handlers[t].slice();if(i&&i.length){e.type=t,e.preventDefault=function(){e.srcEvent.preventDefault()};for(var r=0;r<i.length;)i[r](e),r++}},destroy:function(){this.element&&St(this,!1),this.handlers={},this.session={},this.input.destroy(),this.element=null}},s(_t,{INPUT_START:1,INPUT_MOVE:2,INPUT_END:4,INPUT_CANCEL:8,STATE_POSSIBLE:1,STATE_BEGAN:2,STATE_CHANGED:4,STATE_ENDED:8,STATE_RECOGNIZED:8,STATE_CANCELLED:16,STATE_FAILED:32,DIRECTION_NONE:1,DIRECTION_LEFT:2,DIRECTION_RIGHT:4,DIRECTION_UP:8,DIRECTION_DOWN:16,DIRECTION_HORIZONTAL:6,DIRECTION_VERTICAL:24,DIRECTION_ALL:30,Manager:Ct,Input:Y,TouchAction:lt,TouchInput:nt,MouseInput:j,PointerEventInput:J,TouchMouseInput:rt,SingleTouchInput:Q,Recognizer:pt,AttrRecognizer:mt,Tap:At,Pan:gt,Swipe:It,Pinch:yt,Rotate:Et,Press:Tt,on:I,off:A,each:f,merge:m,extend:d,assign:s,inherit:g,bindFn:y,prefixed:D}),(void 0!==t?t:\"undefined\"!=typeof self?self:{}).Hammer=_t,\"function\"==typeof define&&define.amd?define((function(){return _t})):void 0!==e&&e.exports?e.exports=_t:t.Hammer=_t}(window,document)},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1).__importStar(t(18)),o=t(67),s=t(9),a=t(71);class r extends o.View{get plot_view(){return this.parent}get plot_model(){return this.parent.model}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>{this.model.active?this.activate():this.deactivate()})}activate(){}deactivate(){}}i.ToolView=r,r.__name__=\"ToolView\";class _ extends a.Model{constructor(t){super(t)}static init_Tool(){this.prototype._known_aliases=new Map,this.internal({active:[n.Boolean,!1]})}get synthetic_renderers(){return[]}_get_dim_tooltip(t,e){switch(e){case\"width\":return t+\" (x-axis)\";case\"height\":return t+\" (y-axis)\";case\"both\":return t}}_get_dim_limits([t,e],[i,n],o,a){const r=o.bbox.h_range;let _;\"width\"==a||\"both\"==a?(_=[s.min([t,i]),s.max([t,i])],_=[s.max([_[0],r.start]),s.min([_[1],r.end])]):_=[r.start,r.end];const l=o.bbox.v_range;let c;return\"height\"==a||\"both\"==a?(c=[s.min([e,n]),s.max([e,n])],c=[s.max([c[0],l.start]),s.min([c[1],l.end])]):c=[l.start,l.end],[_,c]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}i.Tool=_,_.__name__=\"Tool\",_.init_Tool()},\n",
+       "      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_toolbar=\"bk-toolbar\",t.bk_toolbar_hidden=\"bk-toolbar-hidden\",t.bk_toolbar_button=\"bk-toolbar-button\",t.bk_button_bar=\"bk-button-bar\",t.bk_toolbar_button_custom_action=\"bk-toolbar-button-custom-action\"},\n",
+       "      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-toolbar-hidden {\\n  visibility: hidden;\\n  opacity: 0;\\n  transition: visibility 0.3s linear, opacity 0.3s linear;\\n}\\n.bk-root .bk-toolbar,\\n.bk-root .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-toolbar .bk-logo {\\n  flex-shrink: 0;\\n  -webkit-flex-shrink: 0;\\n}\\n.bk-root .bk-toolbar.bk-above,\\n.bk-root .bk-toolbar.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n  justify-content: flex-end;\\n  -webkit-justify-content: flex-end;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-logo,\\n.bk-root .bk-toolbar.bk-below .bk-logo {\\n  order: 1;\\n  -webkit-order: 1;\\n  margin-left: 5px;\\n  margin-right: 0px;\\n}\\n.bk-root .bk-toolbar.bk-left,\\n.bk-root .bk-toolbar.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  justify-content: flex-start;\\n  -webkit-justify-content: flex-start;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-logo,\\n.bk-root .bk-toolbar.bk-right .bk-logo {\\n  order: 0;\\n  -webkit-order: 0;\\n  margin-bottom: 5px;\\n  margin-top: 0px;\\n}\\n.bk-root .bk-toolbar-button {\\n  width: 30px;\\n  height: 30px;\\n  cursor: pointer;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-toolbar-button:hover {\\n  background-color: rgba(192, 192, 192, 0.15);\\n}\\n.bk-root .bk-toolbar-button:focus {\\n  outline: none;\\n}\\n.bk-root .bk-toolbar-button::-moz-focus-inner {\\n  border: 0;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button {\\n  border-bottom: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button.bk-active {\\n  border-bottom-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button {\\n  border-top: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button.bk-active {\\n  border-top-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button {\\n  border-left: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button.bk-active {\\n  border-left-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button {\\n  border-right: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button.bk-active {\\n  border-right-color: #26aae1;\\n}\\n.bk-root .bk-button-bar + .bk-button-bar:before {\\n  content: \" \";\\n  display: inline-block;\\n  background-color: lightgray;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar + .bk-button-bar:before {\\n  height: 10px;\\n  width: 1px;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar + .bk-button-bar:before {\\n  height: 1px;\\n  width: 10px;\\n}\\n'},\n",
+       "      function _(A,g,C){Object.defineProperty(C,\"__esModule\",{value:!0});C.default='\\n.bk-root .bk-tool-icon-replace-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxokK3gniQAAAHpJREFUWMNjXLhsJcNAAiaGAQajDhhwB7DgEP+PxmeksvjgDwFcLmYkUh2hkBj8IcBIZXsYh1w2/I8v3sgAOM0bLYhGc8GgrwuICgldfQO88pcvXvg/aOuCUQeM5oLRuoCFCJcTbOMh5XOiW0JDNhdQS3y0IBp1ABwAAF8KGrhC1Eg6AAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-append-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkZWD04WwAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAAAoUlEQVRYw+1WQQ6AIAwrhO8Y/bIXEz9jIMSDr8ETCUEPQzA4pMeFLKNbu4l5WR0CDOMEALBGIzMuQIBEZQjPgP9JLjwTfBjY9sO9lZsFA9IafZng3BlIyVefgd8XQFZBAWe8jfNxwsDhir6rzoCiPiy1K+J8/FRQemv2XfAdFcQ9znU4Viqg9ta1qYJ+D1BnAIBrkgGVOrXNqUA9rbyZm/AEzFh4jEeY/soAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-intersect-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkrkOpp2wAAAPhJREFUWMPtV1EKwjAMTUavI3oawR/vtn5srJdREfzwMvHHQlcT2mpdMzFfWxiP5r2+JMN+mAiCOB72CABgR1cln4oOGocJnuMTSxWk8jMm7OggYkYXA9gPE3uyd8NXHONJ+eYMdE/NqCJmEZ5ZqlJJ4sUksKN7cYSaPoCZFWR1QI+Xm1fBACU63Cw22x0AAJxudwrffVwvZ+JmQdAHZkw0d4EpAMCw8k87pMdbnwtizQumJYv3nwV6XOA1qbUT/oQLUJgFRbsiNwFVucBIlyR3p0tdMp+XmFjfLKi1LatyAXtCRjPWBdL3Ke3VuACJKFfDr/xFN2fgAR/Go0qaLlmEAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-subtract-mode {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-clear-selection {\\n  background-image: 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url(\"data:image/png;base64,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\");\\n}\\n'},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(68),o=n.__importStar(t(255));class l{constructor(t,e={}){this.items=t,this.options=e,this.el=s.div(),this._open=!1,this._item_click=t=>{var e;null===(e=this.items[t])||void 0===e||e.handler(),this.hide()},this._on_mousedown=t=>{var e,i;const{target:n}=t;n instanceof Node&&this.el.contains(n)||(null===(i=(e=this.options).prevent_hide)||void 0===i?void 0:i.call(e,t))||this.hide()},this._on_keydown=t=>{t.keyCode==s.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},s.undisplay(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){s.remove(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=e.getBoundingClientRect();this.el.style.left=null!=t.left?t.left-i.left+\"px\":\"\",this.el.style.top=null!=t.top?t.top-i.top+\"px\":\"\",this.el.style.right=null!=t.right?i.right-t.right+\"px\":\"\",this.el.style.bottom=null!=t.bottom?i.bottom-t.bottom+\"px\":\"\"}}render(){var t;s.empty(this.el,!0);const e=null!==(t=this.options.orientation)&&void 0!==t?t:\"vertical\";s.classes(this.el).add(\"bk-context-menu\",\"bk-\"+e),s.append(this.el,...this.items.map((t,e)=>{var i;let n;if(null!=t){const e=null!=t.icon?s.div({class:[\"bk-menu-icon\",t.icon]}):null;n=s.div({class:(null===(i=t.active)||void 0===i?void 0:i.call(t))?\"bk-active\":null,title:t.tooltip},e,t.label)}else n=s.div({class:o.bk_divider});return n.addEventListener(\"click\",()=>this._item_click(e)),n}))}show(t){0!=this.items.length&&(this._open||(this.render(),this._position(null!=t?t:{left:0,top:0}),s.display(this.el),this._listen(),this._open=!0))}hide(){this._open&&(this._open=!1,this._unlisten(),s.undisplay(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=l,l.__name__=\"ContextMenu\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(275),i=e(146),s=e(68);class c extends o.ButtonToolButtonView{render(){super.render(),s.classes(this.el).toggle(i.bk_active,this.model.active)}_clicked(){const{active:e}=this.model;this.model.active=!e}}n.OnOffButtonView=c,c.__name__=\"OnOffButtonView\"},\n",
+       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(72),l=t(68),n=t(99),a=i.__importStar(t(18)),r=t(66),_=t(9),c=t(8),h=t(71),u=t(284),v=t(285),d=t(286),b=t(274),p=t(278),g=t(288),f=t(146),m=i.__importDefault(t(279)),w=i.__importDefault(t(289));class y extends h.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define({_visible:[a.Any,null],autohide:[a.Boolean,!1]})}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=y,y.__name__=\"ToolbarViewModel\",y.init_ToolbarViewModel();class T extends r.DOMView{initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new y({autohide:this.model.autohide})}async lazy_initialize(){await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,async()=>{await this._build_tool_button_views(),this.render()}),this.connect(this.model.properties.autohide.change,()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()}),this.connect(this._toolbar_view_model.properties._visible.change,()=>this._on_visible_change())}styles(){return[...super.styles(),m.default,w.default]}remove(){n.remove_views(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await n.build_views(this._tool_button_views,t,{parent:this},t=>t.button_view)}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const t=this._toolbar_view_model.visible,o=p.bk_toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(l.empty(this.el),this.el.classList.add(p.bk_toolbar),this.el.classList.add(f.bk_side(this.model.toolbar_location)),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?g.bk_grey:null,o=l.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[g.bk_logo,g.bk_logo_small,t]});this.el.appendChild(o)}for(const[,t]of this._tool_button_views)t.render();const t=[],o=t=>this._tool_button_views.get(t).el,{gestures:e}=this.model;for(const i in e)t.push(e[i].tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter(t=>t.toggleable).map(o));for(const o of t)if(0!==o.length){const t=l.div({class:p.bk_button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}}function k(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=T,T.__name__=\"ToolbarBaseView\";class M extends h.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=T,this.define({tools:[a.Array,[]],logo:[a.Logo,\"normal\"],autohide:[a.Boolean,!1]}),this.internal({gestures:[a.Any,k],actions:[a.Array,[]],inspectors:[a.Array,[]],help:[a.Array,[]],toolbar_location:[a.Location,\"right\"]})}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map(t=>t.id));return _.some(t,t=>!e.has(t.id))},o=this.tools.filter(t=>t instanceof b.InspectTool);t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter(t=>t instanceof d.HelpTool);t(this.help,e)&&(this.help=e);const i=this.tools.filter(t=>t instanceof v.ActionTool);t(this.actions,i)&&(this.actions=i);const l=(t,o)=>{t in this.gestures||s.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},n={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof u.GestureTool&&t.event_type)if(c.isString(t.event_type))n[t.event_type].tools.push(t),l(t.event_type,t);else{n.multi.tools.push(t);for(const o of t.event_type)l(o,t)}for(const o of Object.keys(n)){const e=this.gestures[o];t(e.tools,n[o].tools)&&(e.tools=n[o].tools),e.active&&_.every(e.tools,t=>t.id!=e.active.id)&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=c.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(s.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,s.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=M,M.__name__=\"ToolbarBase\",M.init_ToolbarBase()},\n",
+       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(275),n=e(282);class u extends s.ButtonToolView{}t.GestureToolView=u,u.__name__=\"GestureToolView\";class _ extends s.ButtonTool{constructor(e){super(e),this.button_view=n.OnOffButtonView}}t.GestureTool=_,_.__name__=\"GestureTool\"},\n",
+       "      function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=o(275),i=o(14);class s extends e.ButtonToolButtonView{_clicked(){this.model.do.emit()}}n.ActionToolButtonView=s,s.__name__=\"ActionToolButtonView\";class c extends e.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,()=>this.doit())}}n.ActionToolView=c,c.__name__=\"ActionToolView\";class l extends e.ButtonTool{constructor(o){super(o),this.button_view=s,this.do=new i.Signal0(this,\"do\")}}n.ActionTool=l,l.__name__=\"ActionTool\"},\n",
+       "      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(1),l=o(285),s=i.__importStar(o(18)),n=o(287);class _ extends l.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=_,_.__name__=\"HelpToolView\";class r extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.bk_tool_icon_help}static init_HelpTool(){this.prototype.default_view=_,this.define({help_tooltip:[s.String,\"Click the question mark to learn more about Bokeh plot tools.\"],redirect:[s.String,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}),this.register_alias(\"help\",()=>new r)}get tooltip(){return this.help_tooltip}}t.HelpTool=r,r.__name__=\"HelpTool\",r.init_HelpTool()},\n",
+       "      function _(o,_,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tool_icon_box_select=\"bk-tool-icon-box-select\",l.bk_tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",l.bk_tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",l.bk_tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",l.bk_tool_icon_help=\"bk-tool-icon-help\",l.bk_tool_icon_hover=\"bk-tool-icon-hover\",l.bk_tool_icon_crosshair=\"bk-tool-icon-crosshair\",l.bk_tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",l.bk_tool_icon_pan=\"bk-tool-icon-pan\",l.bk_tool_icon_xpan=\"bk-tool-icon-xpan\",l.bk_tool_icon_ypan=\"bk-tool-icon-ypan\",l.bk_tool_icon_range=\"bk-tool-icon-range\",l.bk_tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",l.bk_tool_icon_redo=\"bk-tool-icon-redo\",l.bk_tool_icon_reset=\"bk-tool-icon-reset\",l.bk_tool_icon_save=\"bk-tool-icon-save\",l.bk_tool_icon_tap_select=\"bk-tool-icon-tap-select\",l.bk_tool_icon_undo=\"bk-tool-icon-undo\",l.bk_tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",l.bk_tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",l.bk_tool_icon_box_edit=\"bk-tool-icon-box-edit\",l.bk_tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",l.bk_tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",l.bk_tool_icon_point_draw=\"bk-tool-icon-point-draw\",l.bk_tool_icon_poly_edit=\"bk-tool-icon-poly-edit\",l.bk_tool_icon_line_edit=\"bk-tool-icon-line-edit\"},\n",
+       "      function _(o,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_logo=\"bk-logo\",b.bk_logo_notebook=\"bk-logo-notebook\",b.bk_logo_small=\"bk-logo-small\",b.bk_grey=\"bk-grey\"},\n",
+       "      function _(l,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-logo {\\n  margin: 5px;\\n  position: relative;\\n  display: block;\\n  background-repeat: no-repeat;\\n}\\n.bk-root .bk-logo.bk-grey {\\n  filter: url(\\\"data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg'><filter id='grayscale'><feColorMatrix type='matrix' values='0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0'/></filter></svg>#grayscale\\\");\\n  /* Firefox 10+, Firefox on Android */\\n  filter: gray;\\n  /* IE6-9 */\\n  -webkit-filter: grayscale(100%);\\n  /* Chrome 19+, Safari 6+, Safari 6+ iOS */\\n}\\n.bk-root .bk-logo-small {\\n  width: 20px;\\n  height: 20px;\\n  background-image: url(data:image/png;base64,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);\\n}\\n.bk-root .bk-logo-notebook {\\n  display: inline-block;\\n  vertical-align: middle;\\n  margin-right: 5px;\\n}\\n\"},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});var s=this&&this.__rest||function(t,e){var i={};for(var s in t)Object.prototype.hasOwnProperty.call(t,s)&&e.indexOf(s)<0&&(i[s]=t[s]);if(null!=t&&\"function\"==typeof Object.getOwnPropertySymbols){var n=0;for(s=Object.getOwnPropertySymbols(t);n<s.length;n++)e.indexOf(s[n])<0&&Object.prototype.propertyIsEnumerable.call(t,s[n])&&(i[s[n]]=t[s[n]])}return i};const n=t(184),a=t(181),o=t(186),l=t(81),r=t(245),h=t(142),_=t(150),d=t(143),u=t(291),c=t(14),p=t(99),g=t(292),m=t(70),f=t(72),b=t(294),w=t(8),v=t(9),y=t(17),x=t(188),z=t(191),M=t(295),k=t(192),O=t(88);class j extends x.Layoutable{constructor(){super(...arguments),this.min_border={left:0,top:0,right:0,bottom:0}}_measure(t){t=new x.Sizeable(t).bounded_to(this.sizing.size);const e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left),s=this.right_panel.measure({width:0,height:t.height}),n=Math.max(s.width,this.min_border.right),a=this.top_panel.measure({width:t.width,height:0}),o=Math.max(a.height,this.min_border.top),l=this.bottom_panel.measure({width:t.width,height:0}),r=Math.max(l.height,this.min_border.bottom),h=new x.Sizeable(t).shrink_by({left:i,right:n,top:o,bottom:r}),_=this.center_panel.measure(h);return{width:i+_.width+n,height:o+_.height+r,inner:{left:i,right:n,top:o,bottom:r},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),s=this.right_panel.measure({width:0,height:t.height}),n=this.top_panel.measure({width:t.width,height:0}),a=this.bottom_panel.measure({width:t.width,height:0}),{left:o,top:l,right:r,bottom:h}=e;this.top_panel.set_geometry(new O.BBox({left:o,right:r,bottom:l,height:n.height})),this.bottom_panel.set_geometry(new O.BBox({left:o,right:r,top:h,height:a.height})),this.left_panel.set_geometry(new O.BBox({top:l,bottom:h,right:o,width:i.width})),this.right_panel.set_geometry(new O.BBox({top:l,bottom:h,left:r,width:s.width}))}}i.PlotLayout=j,j.__name__=\"PlotLayout\";class P extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new O.BBox,this._inner_bbox=new O.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(t=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||t||this.request_paint()}request_render(){this.request_paint()}request_paint(t){if(null!=t?this._invalidated_painters.add(t):this._invalidate_all=!0,!this.is_paused){const t=this.throttled_paint();this._ready=this._ready.then(()=>t)}}request_layout(){this._needs_layout=!0,this.request_paint()}reset(){\"standard\"==this.model.reset_policy&&(this.clear_state(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new u.Reset)}remove(){this.ui_event_bus.destroy(),p.remove_views(this.renderer_views),p.remove_views(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.state_changed=new c.Signal0(this,\"state_changed\"),this.lod_started=!1,this.visuals=new m.Visuals(this.model),this._initial_state_info={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.state={history:[],index:-1};const{hidpi:t,output_backend:e}=this.model;this.canvas=new a.Canvas({hidpi:t,output_backend:e}),this.frame=new n.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges),this.throttled_paint=b.throttle(()=>this.repaint(),1e3/60);const{title_location:i,title:s}=this.model;null!=i&&null!=s&&(this._title=s instanceof h.Title?s:new h.Title({text:s}));const{toolbar_location:o,toolbar:l}=this.model;null!=o&&null!=l&&(this._toolbar=new d.ToolbarPanel({toolbar:l}),l.toolbar_location=o),this.renderer_views=new Map,this.tool_views=new Map}async lazy_initialize(){this.canvas_view=await p.build_view(this.canvas,{parent:this}),this.ui_event_bus=new g.UIEvents(this,this.model.toolbar,this.canvas_view.events_el),await this.build_renderer_views(),await this.build_tool_views(),this.update_dataranges(),this.unpause(!0),f.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){this.layout=new j,this.layout.set_sizing(this.box_sizing());const{frame_width:t,frame_height:e}=this.model;this.layout.center_panel=this.frame,this.layout.center_panel.set_sizing(Object.assign(Object.assign({},null!=t?{width_policy:\"fixed\",width:t}:{width_policy:\"fit\"}),null!=e?{height_policy:\"fixed\",height:e}:{height_policy:\"fit\"}));const i=v.copy(this.model.above),s=v.copy(this.model.below),n=v.copy(this.model.left),a=v.copy(this.model.right),o=t=>{switch(t){case\"above\":return i;case\"below\":return s;case\"left\":return n;case\"right\":return a}},{title_location:l,title:r}=this.model;null!=l&&null!=r&&o(l).push(this._title);const{toolbar_location:_,toolbar:u}=this.model;if(null!=_&&null!=u){const t=o(_);let e=!0;if(this.model.toolbar_sticky)for(let i=0;i<t.length;i++){const s=t[i];if(s instanceof h.Title){t[i]=\"above\"==_||\"below\"==_?[s,this._toolbar]:[this._toolbar,s],e=!1;break}}e&&t.push(this._toolbar)}const c=(t,e)=>{const i=this.renderer_views.get(e);return i.layout=new M.SidePanel(t,i)},p=(t,e)=>{const i=\"above\"==t||\"below\"==t,s=[];for(const n of e)if(w.isArray(n)){const e=n.map(e=>{const s=c(t,e);if(e instanceof d.ToolbarPanel){const t=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[t]:\"min\"}))}return s});let a;i?(a=new k.Row(e),a.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(a=new k.Column(e),a.set_sizing({width_policy:\"min\",height_policy:\"max\"})),a.absolute=!0,s.push(a)}else s.push(c(t,n));return s},g=null!=this.model.min_border?this.model.min_border:0;this.layout.min_border={left:null!=this.model.min_border_left?this.model.min_border_left:g,top:null!=this.model.min_border_top?this.model.min_border_top:g,right:null!=this.model.min_border_right?this.model.min_border_right:g,bottom:null!=this.model.min_border_bottom?this.model.min_border_bottom:g};const m=new z.VStack,f=new z.VStack,b=new z.HStack,y=new z.HStack;m.children=v.reversed(p(\"above\",i)),f.children=p(\"below\",s),b.children=v.reversed(p(\"left\",n)),y.children=p(\"right\",a),m.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),f.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),b.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),y.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.top_panel=m,this.layout.bottom_panel=f,this.layout.left_panel=b,this.layout.right_panel=y}get axis_views(){const t=[];for(const[,e]of this.renderer_views)e instanceof _.AxisView&&t.push(e);return t}set_cursor(t=\"default\"){this.canvas_view.el.style.cursor=t}set_toolbar_visibility(t){for(const e of this.visibility_callbacks)e(t)}update_dataranges(){const t=new Map,e=new Map;let i=!1;for(const t of y.values(this.frame.x_ranges).concat(y.values(this.frame.y_ranges)))t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(i=!0);for(const[s,n]of this.renderer_views)if(n instanceof l.GlyphRendererView){const a=n.glyph.bounds();if(null!=a&&t.set(s,a),i){const t=n.glyph.log_bounds();null!=t&&e.set(s,t)}}let s=!1,n=!1;const{width:a,height:r}=this.frame.bbox;let h;!1!==this.model.match_aspect&&0!=a&&0!=r&&(h=1/this.model.aspect_scale*(a/r));for(const i of y.values(this.frame.x_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,0,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}for(const i of y.values(this.frame.y_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,1,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}if(s&&n){f.logger.warn(\"Follow enabled so bounds are unset.\");for(const t of y.values(this.frame.x_ranges))t.bounds=null;for(const t of y.values(this.frame.y_ranges))t.bounds=null}this.range_update_timestamp=Date.now()}map_to_screen(t,e,i=\"default\",s=\"default\"){return this.frame.map_to_screen(t,e,i,s)}push_state(t,e){const{history:i,index:s}=this.state,n=null!=i[s]?i[s].info:{},a=Object.assign(Object.assign(Object.assign({},this._initial_state_info),n),e);this.state.history=this.state.history.slice(0,this.state.index+1),this.state.history.push({type:t,info:a}),this.state.index=this.state.history.length-1,this.state_changed.emit()}clear_state(){this.state={history:[],index:-1},this.state_changed.emit()}can_undo(){return this.state.index>=0}can_redo(){return this.state.index<this.state.history.length-1}undo(){this.can_undo()&&(this.state.index-=1,this._do_state_change(this.state.index),this.state_changed.emit())}redo(){this.can_redo()&&(this.state.index+=1,this._do_state_change(this.state.index),this.state_changed.emit())}_do_state_change(t){const e=null!=this.state.history[t]?this.state.history[t].info:this._initial_state_info;null!=e.range&&this.update_range(e.range),null!=e.selection&&this.update_selection(e.selection)}get_selection(){const t=new Map;for(const e of this.model.renderers)if(e instanceof l.GlyphRenderer){const{selected:i}=e.data_source;t.set(e,i)}return t}update_selection(t){for(const e of this.model.renderers){if(!(e instanceof l.GlyphRenderer))continue;const i=e.data_source;if(null!=t){const s=t.get(e);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_update_ranges_together(t){let e=1;for(const[i,s]of t)e=Math.min(e,this._get_weight_to_constrain_interval(i,s));if(e<1)for(const[i,s]of t)s.start=e*s.start+(1-e)*i.start,s.end=e*s.end+(1-e)*i.end}_update_ranges_individually(t,e,i,s){let n=!1;for(const[s,a]of t){if(!i){const t=this._get_weight_to_constrain_interval(s,a);t<1&&(a.start=t*a.start+(1-t)*s.start,a.end=t*a.end+(1-t)*s.end)}if(null!=s.bounds&&\"auto\"!=s.bounds){const[t,o]=s.bounds,l=Math.abs(a.end-a.start);s.is_reversed?(null!=t&&t>=a.end&&(n=!0,a.end=t,(e||i)&&(a.start=t+l)),null!=o&&o<=a.start&&(n=!0,a.start=o,(e||i)&&(a.end=o-l))):(null!=t&&t>=a.start&&(n=!0,a.start=t,(e||i)&&(a.end=t+l)),null!=o&&o<=a.end&&(n=!0,a.end=o,(e||i)&&(a.start=o-l)))}}if(!(i&&n&&s))for(const[e,i]of t)e.have_updated_interactively=!0,e.start==i.start&&e.end==i.end||e.setv(i)}_get_weight_to_constrain_interval(t,e){const{min_interval:i}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[e,i]=t.bounds;if(null!=e&&null!=i){const t=Math.abs(i-e);s=null!=s?Math.min(s,t):t}}let n=1;if(null!=i||null!=s){const a=Math.abs(t.end-t.start),o=Math.abs(e.end-e.start);i>0&&o<i&&(n=(a-i)/(a-o)),s>0&&o>s&&(n=(s-a)/(o-a)),n=Math.max(0,Math.min(1,n))}return n}update_range(t,e=!1,i=!1,s=!0){this.pause();const{x_ranges:n,y_ranges:a}=this.frame;if(null==t){for(const t in n){n[t].reset()}for(const t in a){a[t].reset()}this.update_dataranges()}else{const o=[];for(const e in n){const i=n[e];o.push([i,t.xrs[e]])}for(const e in a){const i=a[e];o.push([i,t.yrs[e]])}i&&this._update_ranges_together(o),this._update_ranges_individually(o,e,i,s)}this.unpause()}reset_range(){this.update_range(null)}_invalidate_layout(){(()=>{for(const t of this.model.side_panels){if(this.renderer_views.get(t).layout.has_size_changed())return!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map(t=>this.renderer_views.get(t))}async build_renderer_views(){this.computed_renderers=[];const{above:t,below:e,left:i,right:s,center:n,renderers:a}=this.model;this.computed_renderers.push(...t,...e,...i,...s,...n,...a),null!=this._title&&this.computed_renderers.push(this._title),null!=this._toolbar&&this.computed_renderers.push(this._toolbar);for(const t of this.model.toolbar.tools)null!=t.overlay&&this.computed_renderers.push(t.overlay),this.computed_renderers.push(...t.synthetic_renderers);await p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const t=this.model.toolbar.tools;(await p.build_views(this.tool_views,t,{parent:this})).map(t=>this.ui_event_bus.register_tool(t))}connect_signals(){super.connect_signals();const{x_ranges:t,y_ranges:e}=this.frame;for(const e in t){const i=t[e];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}for(const t in e){const i=e[t];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}const{plot_width:i,plot_height:s}=this.model.properties;this.on_change([i,s],()=>this.invalidate_layout());const{above:n,below:a,left:o,right:l,center:r,renderers:h}=this.model.properties;this.on_change([n,a,o,l,r,h],async()=>await this.build_renderer_views()),this.connect(this.model.toolbar.properties.tools.change,async()=>{await this.build_renderer_views(),await this.build_tool_views()}),this.connect(this.model.change,()=>this.request_paint()),this.connect(this.model.reset,()=>this.reset())}set_initial_range(){let t=!0;const{x_ranges:e,y_ranges:i}=this.frame,s={},n={};for(const i in e){const{start:n,end:a}=e[i];if(null==n||null==a||isNaN(n+a)){t=!1;break}s[i]={start:n,end:a}}if(t)for(const e in i){const{start:s,end:a}=i[e];if(null==s||null==a||isNaN(s+a)){t=!1;break}n[e]={start:s,end:a}}t?(this._initial_state_info.range={xrs:s,yrs:n},f.logger.debug(\"initial ranges set\")):f.logger.warn(\"could not set initial ranges\")}has_finished(){if(!super.has_finished())return!1;for(const[,t]of this.renderer_views)if(!t.has_finished())return!1;return!0}after_layout(){if(super.after_layout(),this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame._width.value),inner_height:Math.round(this.frame._height.value),outer_width:Math.round(this.layout._width.value),outer_height:Math.round(this.layout._height.value)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:t,height:e}=this.layout.bbox;this.canvas_view.resize(t,e),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}this._inner_bbox.equals(this.frame.inner_bbox)||(this._inner_bbox=this.layout.inner_bbox,this._needs_paint=!0),this._needs_paint&&(this._needs_paint=!1,this.paint())}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){if(this.is_paused)return;f.logger.trace(\"PlotView.paint() for \"+this.model.id);const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e<this.model.lod_interval?setTimeout(()=>{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(this.model),this.request_paint()},this.model.lod_timeout):t.interactive_stop(this.model)}for(const[,t]of this.renderer_views)if(null==this.range_update_timestamp||t instanceof l.GlyphRendererView&&t.set_data_timestamp>this.range_update_timestamp){this.update_dataranges();break}let e=!1,i=!1;if(this._invalidate_all)e=!0,i=!0;else for(const t of this._invalidated_painters){const{level:s}=t.model;if(\"overlay\"!=s?e=!0:i=!0,e&&i)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const s=[this.frame._left.value,this.frame._top.value,this.frame._width.value,this.frame._height.value],{primary:n,overlays:a}=this.canvas_view;e&&(n.prepare(),this.canvas_view.prepare_webgl(s),this.canvas_view.clear_webgl(),this._map_hook(n.ctx,s),this._paint_empty(n.ctx,s),this._paint_outline(n.ctx,s),this._paint_levels(n.ctx,\"image\",s,!0),this._paint_levels(n.ctx,\"underlay\",s,!0),this._paint_levels(n.ctx,\"glyph\",s,!0),this._paint_levels(n.ctx,\"guide\",s,!1),this._paint_levels(n.ctx,\"annotation\",s,!1),n.finish()),i&&(a.prepare(),this._paint_levels(a.ctx,\"overlay\",s,!1),a.finish()),null==this._initial_state_info.range&&this.set_initial_range()}_paint_levels(t,e,i,s){for(const n of this.computed_renderers){if(n.level!=e)continue;const a=this.renderer_views.get(n);t.save(),(s||a.needs_clip)&&(t.beginPath(),t.rect(...i),t.clip()),a.render(),t.restore(),a.has_webgl&&(this.canvas_view.blit_webgl(t),this.canvas_view.clear_webgl())}}_map_hook(t,e){}_paint_empty(t,e){const[i,s,n,a]=[0,0,this.layout._width.value,this.layout._height.value],[o,l,r,h]=e;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(t),t.fillRect(i,s,n,a),t.clearRect(o,l,r,h)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(o,l,r,h))}_paint_outline(t,e){if(this.visuals.outline_line.doit){t.save(),this.visuals.outline_line.set_value(t);let[i,s,n,a]=e;i+n==this.layout._width.value&&(n-=1),s+a==this.layout._height.value&&(a-=1),t.strokeRect(i,s,n,a),t.restore()}}save(t){this.canvas_view.save(t)}serializable_state(){const t=super.serializable_state(),{children:e}=t,i=s(t,[\"children\"]),n=this.get_renderer_views().map(t=>t.serializable_state()).filter(t=>\"bbox\"in t);return Object.assign(Object.assign({},i),{children:[...e,...n]})}}i.PlotView=P,P.__name__=\"PlotView\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});var n=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var r=e.length-1;r>=0;r--)(_=e[r])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function _(e){return function(t){t.prototype.event_name=e}}class a{constructor(){this.origin=null}to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}_to_json(){return{model:this.origin}}}s.BokehEvent=a,a.__name__=\"BokehEvent\";let o=class extends a{};s.ButtonClick=o,o.__name__=\"ButtonClick\",s.ButtonClick=o=n([_(\"button_click\")],o);let r=class extends a{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=r,r.__name__=\"MenuItemClick\",s.MenuItemClick=r=n([_(\"menu_item_click\")],r);class c extends a{}s.UIEvent=c,c.__name__=\"UIEvent\";let i=class extends c{};s.LODStart=i,i.__name__=\"LODStart\",s.LODStart=i=n([_(\"lodstart\")],i);let l=class extends c{};s.LODEnd=l,l.__name__=\"LODEnd\",s.LODEnd=l=n([_(\"lodend\")],l);let u=class extends c{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=u,u.__name__=\"SelectionGeometry\",s.SelectionGeometry=u=n([_(\"selectiongeometry\")],u);let h=class extends c{};s.Reset=h,h.__name__=\"Reset\",s.Reset=h=n([_(\"reset\")],h);class d extends c{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=d,d.__name__=\"PointEvent\";let m=class extends d{constructor(e,t,s,n,_,a){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=m,m.__name__=\"Pan\",s.Pan=m=n([_(\"pan\")],m);let p=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=p,p.__name__=\"Pinch\",s.Pinch=p=n([_(\"pinch\")],p);let x=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=x,x.__name__=\"Rotate\",s.Rotate=x=n([_(\"rotate\")],x);let j=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=j,j.__name__=\"MouseWheel\",s.MouseWheel=j=n([_(\"wheel\")],j);let y=class extends d{};s.MouseMove=y,y.__name__=\"MouseMove\",s.MouseMove=y=n([_(\"mousemove\")],y);let P=class extends d{};s.MouseEnter=P,P.__name__=\"MouseEnter\",s.MouseEnter=P=n([_(\"mouseenter\")],P);let O=class extends d{};s.MouseLeave=O,O.__name__=\"MouseLeave\",s.MouseLeave=O=n([_(\"mouseleave\")],O);let b=class extends d{};s.Tap=b,b.__name__=\"Tap\",s.Tap=b=n([_(\"tap\")],b);let g=class extends d{};s.DoubleTap=g,g.__name__=\"DoubleTap\",s.DoubleTap=g=n([_(\"doubletap\")],g);let v=class extends d{};s.Press=v,v.__name__=\"Press\",s.Press=v=n([_(\"press\")],v);let E=class extends d{};s.PressUp=E,E.__name__=\"PressUp\",s.PressUp=E=n([_(\"pressup\")],E);let M=class extends d{};s.PanStart=M,M.__name__=\"PanStart\",s.PanStart=M=n([_(\"panstart\")],M);let f=class extends d{};s.PanEnd=f,f.__name__=\"PanEnd\",s.PanEnd=f=n([_(\"panend\")],f);let R=class extends d{};s.PinchStart=R,R.__name__=\"PinchStart\",s.PinchStart=R=n([_(\"pinchstart\")],R);let S=class extends d{};s.PinchEnd=S,S.__name__=\"PinchEnd\",s.PinchEnd=S=n([_(\"pinchend\")],S);let k=class extends d{};s.RotateStart=k,k.__name__=\"RotateStart\",s.RotateStart=k=n([_(\"rotatestart\")],k);let D=class extends d{};s.RotateEnd=D,D.__name__=\"RotateEnd\",s.RotateEnd=D=n([_(\"rotateend\")],D)},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importDefault(t(276)),r=t(14),a=t(72),h=t(68),_=t(293),o=t(9),c=t(8),l=t(28),p=n.__importStar(t(291)),u=t(281);class d{constructor(t,e,s){this.plot_view=t,this.toolbar=e,this.hit_area=s,this.pan_start=new r.Signal(this,\"pan:start\"),this.pan=new r.Signal(this,\"pan\"),this.pan_end=new r.Signal(this,\"pan:end\"),this.pinch_start=new r.Signal(this,\"pinch:start\"),this.pinch=new r.Signal(this,\"pinch\"),this.pinch_end=new r.Signal(this,\"pinch:end\"),this.rotate_start=new r.Signal(this,\"rotate:start\"),this.rotate=new r.Signal(this,\"rotate\"),this.rotate_end=new r.Signal(this,\"rotate:end\"),this.tap=new r.Signal(this,\"tap\"),this.doubletap=new r.Signal(this,\"doubletap\"),this.press=new r.Signal(this,\"press\"),this.pressup=new r.Signal(this,\"pressup\"),this.move_enter=new r.Signal(this,\"move:enter\"),this.move=new r.Signal(this,\"move\"),this.move_exit=new r.Signal(this,\"move:exit\"),this.scroll=new r.Signal(this,\"scroll\"),this.keydown=new r.Signal(this,\"keydown\"),this.keyup=new r.Signal(this,\"keyup\"),this.hammer=new i.default(this.hit_area,{touchAction:\"auto\",inputClass:i.default.TouchMouseInput}),this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",t=>this._mouse_move(t)),this.hit_area.addEventListener(\"mouseenter\",t=>this._mouse_enter(t)),this.hit_area.addEventListener(\"mouseleave\",t=>this._mouse_exit(t)),this.hit_area.addEventListener(\"contextmenu\",t=>this._context_menu(t)),this.hit_area.addEventListener(\"wheel\",t=>this._mouse_wheel(t)),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new u.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",t=>this._doubletap(t)),this.hammer.on(\"tap\",t=>this._tap(t)),this.hammer.on(\"press\",t=>this._press(t)),this.hammer.on(\"pressup\",t=>this._pressup(t)),this.hammer.get(\"pan\").set({direction:i.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",t=>this._pan_start(t)),this.hammer.on(\"pan\",t=>this._pan(t)),this.hammer.on(\"panend\",t=>this._pan_end(t)),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",t=>this._pinch_start(t)),this.hammer.on(\"pinch\",t=>this._pinch(t)),this.hammer.on(\"pinchend\",t=>this._pinch_end(t)),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",t=>this._rotate_start(t)),this.hammer.on(\"rotate\",t=>this._rotate(t)),this.hammer.on(\"rotateend\",t=>this._rotate_end(t))}register_tool(t){const e=t.model.event_type;null!=e&&(c.isString(e)?this._register_tool(t,e):e.forEach((e,s)=>this._register_tool(t,e,s<1)))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},h=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(\"unsupported event_type: \"+e)}s&&(null!=n._doubletap&&n.connect(this.doubletap,h(n._doubletap.bind(n))),null!=n._keydown&&n.connect(this.keydown,h(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,h(n._keyup.bind(n))),l.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(a.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e){const s=this.plot_view.get_renderer_views();for(const n of o.reversed(s)){const{level:s}=n.model;if((\"annotation\"==s||\"overlay\"==s)&&null!=n.interactive_hit&&n.interactive_hit(t,e))return n}return null}_hit_test_frame(t,e){return this.plot_view.frame.bbox.contains(t,e)}_hit_test_canvas(t,e){return this.plot_view.layout.bbox.contains(t,e)}_trigger(t,e,s){const n=this.toolbar.gestures,i=t.name.split(\":\")[0],r=this._hit_test_renderers(e.sx,e.sy),a=this._hit_test_canvas(e.sx,e.sy);switch(i){case\"move\":{const s=n[i].active;null!=s&&this.trigger(t,e,s.id);const h=this.toolbar.inspectors.filter(t=>t.active);let _=\"default\";null!=r?(_=r.cursor(e.sx,e.sy)||_,o.is_empty(h)||(t=this.move_exit)):this._hit_test_frame(e.sx,e.sy)&&(o.is_empty(h)||(_=\"crosshair\")),this.plot_view.set_cursor(_),this.plot_view.set_toolbar_visibility(a),h.map(s=>this.trigger(t,e,s.id));break}case\"tap\":{const{target:a}=s;if(null!=a&&a!=this.hit_area)return;null!=r&&null!=r.on_hit&&r.on_hit(e.sx,e.sy);const h=n[i].active;null!=h&&this.trigger(t,e,h.id);break}case\"scroll\":{const i=n[l.is_mobile?\"pinch\":\"scroll\"].active;null!=i&&(s.preventDefault(),s.stopPropagation(),this.trigger(t,e,i.id));break}case\"pan\":{const r=n[i].active;null!=r&&(s.preventDefault(),this.trigger(t,e,r.id));break}default:{const s=n[i].active;null!=s&&this.trigger(t,e,s.id)}}this._trigger_bokeh_event(e)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t){const e=(()=>{const e=this.plot_view.frame.xscales.default,s=this.plot_view.frame.yscales.default,{sx:n,sy:i}=t,r=e.invert(n),a=s.invert(i);switch(t.type){case\"wheel\":return new p.MouseWheel(n,i,r,a,t.delta);case\"mousemove\":return new p.MouseMove(n,i,r,a);case\"mouseenter\":return new p.MouseEnter(n,i,r,a);case\"mouseleave\":return new p.MouseLeave(n,i,r,a);case\"tap\":return new p.Tap(n,i,r,a);case\"doubletap\":return new p.DoubleTap(n,i,r,a);case\"press\":return new p.Press(n,i,r,a);case\"pressup\":return new p.PressUp(n,i,r,a);case\"pan\":return new p.Pan(n,i,r,a,t.deltaX,t.deltaY);case\"panstart\":return new p.PanStart(n,i,r,a);case\"panend\":return new p.PanEnd(n,i,r,a);case\"pinch\":return new p.Pinch(n,i,r,a,t.scale);case\"pinchstart\":return new p.PinchStart(n,i,r,a);case\"pinchend\":return new p.PinchEnd(n,i,r,a);case\"rotate\":return new p.Rotate(n,i,r,a,t.rotation);case\"rotatestart\":return new p.RotateStart(n,i,r,a);case\"rotateend\":return new p.RotateEnd(n,i,r,a);default:return}})();null!=e&&this.plot_view.model.trigger_event(e)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=h.offset(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:_.getDeltaY(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){const e=this._tap_event(t);this._trigger_bokeh_event(e),this.trigger(this.doubletap,e)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEvents=d,d.__name__=\"UIEvents\"},\n",
+       "      function _(e,t,n){\n",
+       "      /*!\n",
+       "           * jQuery Mousewheel 3.1.13\n",
+       "           *\n",
+       "           * Copyright jQuery Foundation and other contributors\n",
+       "           * Released under the MIT license\n",
+       "           * http://jquery.org/license\n",
+       "           */\n",
+       "      function r(e){const t=getComputedStyle(e).fontSize;return null!=t?parseInt(t,10):null}Object.defineProperty(n,\"__esModule\",{value:!0}),n.getDeltaY=function(e){let t=-e.deltaY;if(e.target instanceof HTMLElement)switch(e.deltaMode){case e.DOM_DELTA_LINE:t*=r((n=e.target).offsetParent||document.body)||r(n)||16;break;case e.DOM_DELTA_PAGE:t*=function(e){return e.clientHeight}(e.target)}var n;return t}},\n",
+       "      function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=(\"undefined\"!=typeof window?window.requestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.webkitRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.mozRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.msRequestAnimationFrame:void 0)||function(n){return n(Date.now()),-1};o.throttle=function(n,e){let o=null,i=0,u=!1;return function(){return new Promise((d,w)=>{const r=function(){i=Date.now(),o=null,u=!1;try{n(),d()}catch(n){w(n)}},a=Date.now(),f=e-(a-i);f<=0&&!u?(null!=o&&clearTimeout(o),u=!0,t(r)):o||u?d():o=setTimeout(()=>t(r),f)})}}},\n",
+       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const l=i(189),a=i(190),r=i(8),o=Math.PI/2,h=\"left\",s=\"center\",n={above:{parallel:0,normal:-o,horizontal:0,vertical:-o},below:{parallel:0,normal:o,horizontal:0,vertical:o},left:{parallel:-o,normal:0,horizontal:0,vertical:-o},right:{parallel:o,normal:0,horizontal:0,vertical:o}},d={above:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"alphabetic\",vertical:\"middle\"},below:{justified:\"bottom\",parallel:\"hanging\",normal:\"middle\",horizontal:\"hanging\",vertical:\"middle\"},left:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"},right:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"}},_={above:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},below:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},left:{justified:s,parallel:s,normal:\"right\",horizontal:\"right\",vertical:s},right:{justified:s,parallel:s,normal:h,horizontal:h,vertical:s}},c={above:\"right\",below:h,left:\"right\",right:h},m={above:h,below:\"right\",left:\"right\",right:h};class g extends a.ContentLayoutable{constructor(i,t){switch(super(),this.side=i,this.obj=t,this.side){case\"above\":this._dim=0,this._normals=[0,-1];break;case\"below\":this._dim=0,this._normals=[0,1];break;case\"left\":this._dim=1,this._normals=[-1,0];break;case\"right\":this._dim=1,this._normals=[1,0]}this.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){return new l.Sizeable(this.get_oriented_size())}get_oriented_size(){const{width:i,height:t}=this.obj.get_size();return!this.obj.rotate||this.is_horizontal?{width:i,height:t}:{width:t,height:i}}has_size_changed(){const{width:i,height:t}=this.get_oriented_size();return this.is_horizontal?this.bbox.height!=t:this.bbox.width!=i}get dimension(){return this._dim}get normals(){return this._normals}get is_horizontal(){return 0==this._dim}get is_vertical(){return 1==this._dim}apply_label_text_heuristics(i,t){const e=this.side;let l,a;r.isString(t)?(l=d[e][t],a=_[e][t]):t<0?(l=\"middle\",a=c[e]):(l=\"middle\",a=m[e]),i.textBaseline=l,i.textAlign=a}get_label_angle_heuristic(i){return n[this.side][i]}}e.SidePanel=g,g.__name__=\"SidePanel\"},\n",
+       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(14),o=t(68),a=t(32),n=t(290),p=new i.Signal0({},\"gmaps_ready\");class l extends n.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){!function(t){window._bokeh_gmaps_callback=()=>p.emit();const e=document.createElement(\"script\");e.type=\"text/javascript\",e.src=`https://maps.googleapis.com/maps/api/js?v=3.36&key=${t}&callback=_bokeh_gmaps_callback`,document.body.appendChild(e)}(atob(this.model.api_key))}p.connect(()=>this.request_render())}this.unpause()}remove(){o.remove(this.map_el),super.remove()}update_range(t){if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(t.sdx||0,t.sdy||0),super.update_range(t);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t);const e=t.factor<0?-1:1,s=this.map.getZoom(),i=s+e;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<0&&this.map.setZoom(s)}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=o.div({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",()=>this._set_bokeh_ranges()),t.event.addListener(this.map,\"bounds_changed\",()=>this._set_bokeh_ranges()),t.event.addListenerOnce(this.map,\"tilesloaded\",()=>this._render_finished()),this.connect(this.model.properties.map_options.change,()=>this._update_options()),this.connect(this.model.map_options.properties.styles.change,()=>this._update_styles()),this.connect(this.model.map_options.properties.lat.change,()=>this._update_center(\"lat\")),this.connect(this.model.map_options.properties.lng.change,()=>this._update_center(\"lng\")),this.connect(this.model.map_options.properties.zoom.change,()=>this._update_zoom()),this.connect(this.model.map_options.properties.map_type.change,()=>this._update_map_type()),this.connect(this.model.map_options.properties.scale_control.change,()=>this._update_scale_control()),this.connect(this.model.map_options.properties.tilt.change,()=>this._update_tilt())}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,i]=this._get_latlon_bounds(),[o,n]=a.wgs84_mercator.forward([t,s]),[p,l]=a.wgs84_mercator.forward([e,i]);return[o,p,n,l]}_set_bokeh_ranges(){const[t,e,s,i]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:i})}_update_center(t){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,i,o]=e;this.map_el.style.top=s+\"px\",this.map_el.style.left=t+\"px\",this.map_el.style.width=i+\"px\",this.map_el.style.height=o+\"px\"}}_paint_empty(t,e){const s=this.layout._width.value,i=this.layout._height.value,[o,a,n,p]=e;t.clearRect(0,0,s,i),t.beginPath(),t.moveTo(0,0),t.lineTo(0,i),t.lineTo(s,i),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(o,a),t.lineTo(o+n,a),t.lineTo(o+n,a+p),t.lineTo(o,a+p),t.lineTo(o,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=this.model.border_fill_color,t.fill())}}s.GMapPlotView=l,l.__name__=\"GMapPlotView\"},\n",
+       "      function _(a,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});var g=a(187);n.DataRange=g.DataRange;var R=a(186);n.DataRange1d=R.DataRange1d;var r=a(90);n.FactorRange=r.FactorRange;var t=a(91);n.Range=t.Range;var d=a(131);n.Range1d=d.Range1d},\n",
+       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var n=e(81);d.GlyphRenderer=n.GlyphRenderer;var R=e(100);d.GraphRenderer=R.GraphRenderer;var a=e(151);d.GuideRenderer=a.GuideRenderer;var G=e(65);d.Renderer=G.Renderer},\n",
+       "      function _(a,e,c){Object.defineProperty(c,\"__esModule\",{value:!0});var l=a(185);c.CategoricalScale=l.CategoricalScale;var o=a(121);c.ContinuousScale=o.ContinuousScale;var r=a(120);c.LinearScale=r.LinearScale;var S=a(130);c.LogScale=S.LogScale;var n=a(122);c.Scale=n.Scale},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(1).__exportStar(e(102),o);var n=e(79);o.Selection=n.Selection},\n",
+       "      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var o=a(302);r.ServerSentDataSource=o.ServerSentDataSource;var S=a(304);r.AjaxDataSource=S.AjaxDataSource;var u=a(76);r.ColumnDataSource=u.ColumnDataSource;var t=a(77);r.ColumnarDataSource=t.ColumnarDataSource;var c=a(98);r.CDSView=c.CDSView;var D=a(78);r.DataSource=D.DataSource;var v=a(305);r.GeoJSONDataSource=v.GeoJSONDataSource;var n=a(303);r.WebDataSource=n.WebDataSource},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(303);class s extends a.WebDataSource{constructor(e){super(e),this.initialized=!1}destroy(){super.destroy()}setup(){if(!this.initialized){this.initialized=!0,new EventSource(this.data_url).onmessage=e=>{this.load_data(JSON.parse(e.data),this.mode,this.max_size)}}}}i.ServerSentDataSource=s,s.__name__=\"ServerSentDataSource\"},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(1),s=e(76),i=r.__importStar(e(18));class n extends s.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:r}=this;let s;switch(s=null!=r?r.execute(this,{response:e}):e,t){case\"replace\":this.data=s;break;case\"append\":{const e=this.data;for(const t of this.columns()){const r=Array.from(e[t]),i=Array.from(s[t]);s[t]=r.concat(i).slice(-a)}this.data=s;break}}}static init_WebDataSource(){this.define({mode:[i.UpdateMode,\"replace\"],max_size:[i.Number],adapter:[i.Any,null],data_url:[i.String]})}}a.WebDataSource=n,n.__name__=\"WebDataSource\",n.init_WebDataSource()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(303),r=t(72),o=s.__importStar(t(18));class n extends a.WebDataSource{constructor(t){super(t),this.initialized=!1}static init_AjaxDataSource(){this.define({polling_interval:[o.Number],content_type:[o.String,\"application/json\"],http_headers:[o.Any,{}],method:[o.HTTPMethod,\"POST\"],if_modified:[o.Boolean,!1]})}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=0,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",()=>this.do_load(s,t,e)),s.addEventListener(\"error\",()=>this.do_error(s)),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const i in e){const s=e[i];t.setRequestHeader(i,s)}return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){r.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=n,n.__name__=\"AjaxDataSource\",n.init_AjaxDataSource()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1),n=e(77),s=e(72),a=r.__importStar(e(18)),i=e(9);function l(e){return null!=e?e:NaN}class c extends n.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define({geojson:[a.Any]}),this.internal({data:[a.Any,{}]})}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,()=>this._update_data())}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return i.range(0,e).map(e=>[])}_get_new_nan_array(e){return i.range(0,e).map(e=>NaN)}_add_properties(e,t,o,r){const n=e.properties||{};for(const e in n)t.hasOwnProperty(e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=l(n[e])}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=l(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"Polygon\":{e.coordinates.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPoint\":s.logger.warn(\"MultiPoint not supported in Bokeh\");break;case\"MultiLineString\":{const n=e.coordinates.reduce(r);for(let e=0;e<n.length;e++){const[r,s,a]=n[e];t.xs[o][e]=r,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPolygon\":{const n=[];for(const t of e.coordinates)t.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const a=n.reduce(r);for(let e=0;e<a.length;e++){const[r,n,s]=a[e];t.xs[o][e]=r,t.ys[o][e]=n,t.zs[o][e]=l(s)}break}default:throw new Error(\"Invalid GeoJSON geometry type: \"+e.type)}}geojson_to_column_data(){const e=JSON.parse(this.geojson);let t;switch(e.type){case\"GeometryCollection\":if(null==e.geometries)throw new Error(\"No geometries found in GeometryCollection\");if(0===e.geometries.length)throw new Error(\"geojson.geometries must have one or more items\");t=e.geometries;break;case\"FeatureCollection\":if(null==e.features)throw new Error(\"No features found in FeaturesCollection\");if(0==e.features.length)throw new Error(\"geojson.features must have one or more items\");t=e.features;break;default:throw new Error(\"Bokeh only supports type GeometryCollection and FeatureCollection at top level\")}let o=0;for(const e of t){const t=\"Feature\"===e.type?e.geometry:e;\"GeometryCollection\"==t.type?o+=t.geometries.length:o+=1}const r={x:this._get_new_nan_array(o),y:this._get_new_nan_array(o),z:this._get_new_nan_array(o),xs:this._get_new_list_array(o),ys:this._get_new_list_array(o),zs:this._get_new_list_array(o)};let n=0;for(const e of t){const t=\"Feature\"==e.type?e.geometry:e;if(\"GeometryCollection\"==t.type)for(const s of t.geometries)this._add_geometry(s,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1;else this._add_geometry(t,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1}return r}}o.GeoJSONDataSource=c,c.__name__=\"GeoJSONDataSource\",c.init_GeoJSONDataSource()},\n",
+       "      function _(e,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});var c=e(110);i.AdaptiveTicker=c.AdaptiveTicker;var a=e(109);i.BasicTicker=a.BasicTicker;var k=e(153);i.CategoricalTicker=k.CategoricalTicker;var T=e(164);i.CompositeTicker=T.CompositeTicker;var t=e(111);i.ContinuousTicker=t.ContinuousTicker;var o=e(163);i.DatetimeTicker=o.DatetimeTicker;var v=e(165);i.DaysTicker=v.DaysTicker;var n=e(307);i.FixedTicker=n.FixedTicker;var s=e(172);i.LogTicker=s.LogTicker;var l=e(175);i.MercatorTicker=l.MercatorTicker;var u=e(168);i.MonthsTicker=u.MonthsTicker;var d=e(166);i.SingleIntervalTicker=d.SingleIntervalTicker;var g=e(112);i.Ticker=g.Ticker;var C=e(169);i.YearsTicker=C.YearsTicker},\n",
+       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),n=i(111),s=r.__importStar(i(18));class _ extends n.ContinuousTicker{constructor(i){super(i),this.min_interval=0,this.max_interval=0}static init_FixedTicker(){this.define({ticks:[s.Array,[]],minor_ticks:[s.Array,[]]})}get_ticks_no_defaults(i,t,e,r){return{major:this.ticks,minor:this.minor_ticks}}get_interval(i,t,e){return 0}}e.FixedTicker=_,_.__name__=\"FixedTicker\",_.init_FixedTicker()},\n",
+       "      function _(e,r,o){Object.defineProperty(o,\"__esModule\",{value:!0});var T=e(309);o.BBoxTileSource=T.BBoxTileSource;var c=e(310);o.MercatorTileSource=c.MercatorTileSource;var i=e(313);o.QUADKEYTileSource=i.QUADKEYTileSource;var l=e(314);o.TileRenderer=l.TileRenderer;var S=e(311);o.TileSource=S.TileSource;var u=e(318);o.TMSTileSource=u.TMSTileSource;var a=e(315);o.WMTSTileSource=a.WMTSTileSource},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1),i=e(310),l=o.__importStar(e(18));class _ extends i.MercatorTileSource{constructor(e){super(e)}static init_BBoxTileSource(){this.define({use_latlon:[l.Boolean,!1]})}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let i,l,_,n;return this.use_latlon?[l,n,i,_]=this.get_tile_geographic_bounds(e,t,r):[l,n,i,_]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",l.toString()).replace(\"{YMIN}\",n.toString()).replace(\"{XMAX}\",i.toString()).replace(\"{YMAX}\",_.toString())}}r.BBoxTileSource=_,_.__name__=\"BBoxTileSource\",_.init_BBoxTileSource()},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const _=t(1),s=t(311),r=_.__importStar(t(18)),o=t(9),n=t(312);class l extends s.TileSource{constructor(t){super(t)}static init_MercatorTileSource(){this.define({snap_to_zoom:[r.Boolean,!1],wrap_around:[r.Boolean,!0]}),this.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})}initialize(){super.initialize(),this._resolutions=o.range(this.min_zoom,this.max_zoom+1).map(t=>this.get_resolution(t))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)<Math.abs(t-r)?e:t}));return this._resolutions.indexOf(o)}snap_to_zoom_level(t,e,i,_){const[s,r,o,n]=t,l=this._resolutions[_];let u=i*l,a=e*l;if(!this.snap_to_zoom){const t=(o-s)/u,e=(n-r)/a;t>e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);return i=0===i?i:i-1,[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<<i)-e]}meters_to_tile(t,e,i){const[_,s]=this.meters_to_pixels(t,e,i);return this.pixels_to_tile(_,s)}get_tile_meter_bounds(t,e,i){const[_,s]=this.pixels_to_meters(t*this.tile_size,e*this.tile_size,i),[r,o]=this.pixels_to_meters((t+1)*this.tile_size,(e+1)*this.tile_size,i);return[_,s,r,o]}get_tile_geographic_bounds(t,e,i){const _=this.get_tile_meter_bounds(t,e,i),[s,r,o,l]=n.meters_extent_to_geographic(_);return[s,r,o,l]}get_tiles_by_extent(t,e,i=1){const[_,s,r,o]=t;let[n,l]=this.meters_to_tile(_,s,e),[u,a]=this.meters_to_tile(r,o,e);n-=i,l-=i,u+=i,a+=i;const h=[];for(let t=a;t>=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<<s-1;switch(t.charAt(_-s)){case\"0\":continue;case\"1\":e|=r;break;case\"2\":i|=r;break;case\"3\":e|=r,i|=r;break;default:throw new TypeError(\"Invalid Quadkey: \"+t)}}return[e,i,_]}tile_xyz_to_quadkey(t,e,i){let _=\"\";for(let s=i;s>0;s--){const i=1<<s-1;let r=0;0!=(t&i)&&(r+=1),0!=(e&i)&&(r+=2),_+=r.toString()}return _}children_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=[];for(let t=0;t<=3;t++){const[e,i,r]=this.quadkey_to_tile_xyz(_+t.toString()),o=this.get_tile_meter_bounds(e,i,r);s.push([e,i,r,o])}return s}get_closest_parent_by_tile_xyz(t,e,i){const _=this.calculate_world_x_by_tile_xyz(t,e,i);[t,e,i]=this.normalize_xyz(t,e,i);let s=this.tile_xyz_to_quadkey(t,e,i);for(;s.length>0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),s=e(17),l=i.__importStar(e(18));class a extends n.Model{constructor(e){super(e)}static init_TileSource(){this.define({url:[l.String,\"\"],tile_size:[l.Number,256],max_zoom:[l.Number,30],min_zoom:[l.Number,0],extra_url_vars:[l.Any,{}],attribution:[l.String,\"\"],x_origin_offset:[l.Number],y_origin_offset:[l.Number],initial_resolution:[l.Number]})}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._clear_cache())}string_lookup_replace(e,t){let r=e;for(const[e,i]of s.entries(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map(e=>parseInt(e));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,s]=t,l=(n-r)/2+r,a=(s-i)/2+i;e.sort((function(e,t){return Math.sqrt((l-e[0])**2+(a-e[1])**2)-Math.sqrt((l-t[0])**2+(a-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=a,a.__name__=\"TileSource\",a.init_TileSource()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(32);function o(e,t){return n.wgs84_mercator.forward([e,t])}function c(e,t){return n.wgs84_mercator.inverse([e,t])}r.geographic_to_meters=o,r.meters_to_geographic=c,r.geographic_extent_to_meters=function(e){const[t,r,n,c]=e,[_,i]=o(t,r),[s,u]=o(n,c);return[_,i,s,u]},r.meters_extent_to_geographic=function(e){const[t,r,n,o]=e,[_,i]=c(t,r),[s,u]=c(n,o);return[_,i,s,u]}},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const _=e(310);class s extends _.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const _=this.string_lookup_replace(this.url,this.extra_url_vars),[s,o,u]=this.tms_to_wmts(e,t,r),c=this.tile_xyz_to_quadkey(s,o,u);return _.replace(\"{Q}\",c)}}r.QUADKEYTileSource=s,s.__name__=\"QUADKEYTileSource\"},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),_=e(315),a=e(82),n=e(131),r=e(68),h=s.__importStar(e(18)),l=e(224),o=e(9),d=e(8),m=e(80),c=e(76),u=e(316),p=s.__importDefault(e(317));class g extends a.DataRendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.tile_source.change,()=>this.request_render())}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&r.removeElement(this.attribution_el);const{attribution:e}=this.model.tile_source;if(d.isString(e)&&e.length>0){const{layout:t,frame:i}=this.plot_view,s=t._width.value-i._right.value,_=t._height.value-i._bottom.value,a=i._width.value;this.attribution_el=r.div({class:u.bk_tile_attribution,style:{position:\"absolute\",right:s+\"px\",bottom:_+\"px\",\"max-width\":a-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=e,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const e=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value),t=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value,e);this.x_range.start=t[0],this.y_range.start=t[1],this.x_range.end=t[2],this.y_range.end=t[3],this.x_range instanceof n.Range1d&&(this.x_range.reset_start=t[0],this.x_range.reset_end=t[2]),this.y_range instanceof n.Range1d&&(this.y_range.reset_start=t[1],this.y_range.reset_end=t[3]),this._update_attribution()}_create_tile(e,t,i,s,_=!1){const[a,n,r]=this.model.tile_source.normalize_xyz(e,t,i),h={img:void 0,tile_coords:[e,t,i],normalized_coords:[a,n,r],quadkey:this.model.tile_source.tile_xyz_to_quadkey(e,t,i),cache_key:this.model.tile_source.tile_xyz_to_key(e,t,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},o=this.model.tile_source.get_image_url(a,n,r);new l.ImageLoader(o,{loaded:e=>{Object.assign(h,{img:e,loaded:!0}),_?(h.finished=!0,this.notify_finished()):this.request_render()},failed(){h.finished=!0}}),this.model.tile_source.tiles.set(h.cache_key,h),this._tiles.push(h)}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame._height.value||this._last_width!==this.map_frame._width.value){const e=this.get_extent(),t=this.model.tile_source.get_level_by_extent(e,this.map_frame._height.value,this.map_frame._width.value),i=this.model.tile_source.snap_to_zoom_level(e,this.map_frame._height.value,this.map_frame._width.value,t);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame._height.value,this._last_width=this.map_frame._width.value}}has_finished(){if(!super.has_finished())return!1;if(0===this._tiles.length)return!1;for(const e of this._tiles)if(!e.finished)return!1;return!0}render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(e){const t=this.model.tile_source.tiles.get(e);if(null!=t&&t.loaded){const[[e],[i]]=this.plot_view.map_to_screen([t.bounds[0]],[t.bounds[3]]),[[s],[_]]=this.plot_view.map_to_screen([t.bounds[2]],[t.bounds[1]]),a=s-e,n=_-i,r=e,h=i,l=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(t.img,r,h,a,n),this.map_canvas.setImageSmoothingEnabled(l),t.finished=!0}}_set_rect(){const e=this.plot_model.properties.outline_line_width.value(),t=this.map_frame._left.value+e/2,i=this.map_frame._top.value+e/2,s=this.map_frame._width.value-e,_=this.map_frame._height.value-e;this.map_canvas.rect(t,i,s,_),this.map_canvas.clip()}_render_tiles(e){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const t of e)this._draw_tile(t);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:e}=this.model,t=this.get_extent(),i=this.map_frame._height.value,s=this.map_frame._width.value,_=this.model.tile_source.get_level_by_extent(t,i,s),a=this.model.tile_source.get_tiles_by_extent(t,_);for(let t=0,i=Math.min(10,a.length);t<i;t++){const[i,s,_]=a[t],n=this.model.tile_source.children_by_tile_xyz(i,s,_);for(const t of n){const[i,s,_,a]=t;e.tiles.has(e.tile_xyz_to_key(i,s,_))||this._create_tile(i,s,_,a,!0)}}}_fetch_tiles(e){for(const t of e){const[e,i,s,_]=t;this._create_tile(e,i,s,_)}}_update(){const{tile_source:e}=this.model,{min_zoom:t}=e,{max_zoom:i}=e;let s=this.get_extent();const _=this.extent[2]-this.extent[0]<s[2]-s[0],a=this.map_frame._height.value,n=this.map_frame._width.value;let r=e.get_level_by_extent(s,a,n),h=!1;r<t?(s=this.extent,r=t,h=!0):r>i&&(s=this.extent,r=i,h=!0),h&&(this.x_range.setv({x_range:{start:s[0],end:s[2]}}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const l=e.get_tiles_by_extent(s,r),d=[],m=[],c=[],u=[];for(const t of l){const[i,s,a]=t,n=e.tile_xyz_to_key(i,s,a),r=e.tiles.get(n);if(null!=r&&r.loaded)m.push(n);else if(this.model.render_parents){const[t,n,r]=e.get_closest_parent_by_tile_xyz(i,s,a),h=e.tile_xyz_to_key(t,n,r),l=e.tiles.get(h);if(null!=l&&l.loaded&&!o.includes(c,h)&&c.push(h),_){const t=e.children_by_tile_xyz(i,s,a);for(const[i,s,_]of t){const t=e.tile_xyz_to_key(i,s,_);e.tiles.has(t)&&u.push(t)}}}null==r&&d.push(t)}this._render_tiles(c),this._render_tiles(u),this._render_tiles(m),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout(()=>this._fetch_tiles(d),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class f extends a.DataRenderer{constructor(e){super(e),this._selection_manager=new m.SelectionManager({source:new c.ColumnDataSource})}static init_TileRenderer(){this.prototype.default_view=g,this.define({alpha:[h.Number,1],smoothing:[h.Boolean,!0],tile_source:[h.Instance,()=>new _.WMTSTileSource],render_parents:[h.Boolean,!0]})}get_selection_manager(){return this._selection_manager}}i.TileRenderer=f,f.__name__=\"TileRenderer\",f.init_TileRenderer()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(310);class s extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,_]=this.tms_to_wmts(e,t,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",_.toString())}}r.WMTSTileSource=s,s.__name__=\"WMTSTileSource\"},\n",
+       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.bk_tile_attribution=\"bk-tile-attribution\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default=\"\\n.bk-root .bk-tile-attribution a {\\n  color: black;\\n}\\n\"},\n",
+       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(310);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=c,c.__name__=\"TMSTileSource\"},\n",
+       "      function _(e,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});var t=e(320);a.CanvasTexture=t.CanvasTexture;var u=e(322);a.ImageURLTexture=u.ImageURLTexture;var v=e(321);a.Texture=v.Texture},\n",
+       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),c=t(321),s=r.__importStar(t(18)),i=t(24);class a extends c.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define({code:[s.String]})}get func(){const t=i.use_strict(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){return r=>{const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),r.createPattern(c,this.repetition)}}}n.CanvasTexture=a,a.__name__=\"CanvasTexture\",a.init_CanvasTexture()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(71),o=r.__importStar(e(18));class _ extends n.Model{constructor(e){super(e)}static init_Texture(){this.define({repetition:[o.TextureRepetition,\"repeat\"]})}onload(e){e()}}i.Texture=_,_.__name__=\"Texture\",_.init_Texture()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),a=e(321),n=r.__importStar(e(18)),s=e(224);class o extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define({url:[n.String]})}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){return e=>this._loader.finished?e.createPattern(this._loader.image,this.repetition):null}onload(e){this._loader.promise.then(()=>e())}}i.ImageURLTexture=o,o.__name__=\"ImageURLTexture\",o.init_ImageURLTexture()},\n",
+       "      function _(o,l,T){Object.defineProperty(T,\"__esModule\",{value:!0});var a=o(285);T.ActionTool=a.ActionTool;var r=o(324);T.CustomAction=r.CustomAction;var e=o(286);T.HelpTool=e.HelpTool;var v=o(325);T.RedoTool=v.RedoTool;var t=o(326);T.ResetTool=t.ResetTool;var n=o(327);T.SaveTool=n.SaveTool;var s=o(328);T.UndoTool=s.UndoTool;var i=o(329);T.ZoomInTool=i.ZoomInTool;var P=o(331);T.ZoomOutTool=P.ZoomOutTool;var c=o(275);T.ButtonTool=c.ButtonTool;var d=o(332);T.EditTool=d.EditTool;var u=o(333);T.BoxEditTool=u.BoxEditTool;var y=o(334);T.FreehandDrawTool=y.FreehandDrawTool;var m=o(335);T.PointDrawTool=m.PointDrawTool;var x=o(336);T.PolyDrawTool=x.PolyDrawTool;var B=o(337);T.PolyTool=B.PolyTool;var S=o(338);T.PolyEditTool=S.PolyEditTool;var b=o(339);T.BoxSelectTool=b.BoxSelectTool;var h=o(342);T.BoxZoomTool=h.BoxZoomTool;var E=o(284);T.GestureTool=E.GestureTool;var Z=o(343);T.LassoSelectTool=Z.LassoSelectTool;var p=o(344);T.LineEditTool=p.LineEditTool;var w=o(346);T.PanTool=w.PanTool;var C=o(347);T.PolySelectTool=C.PolySelectTool;var D=o(348);T.RangeTool=D.RangeTool;var H=o(340);T.SelectTool=H.SelectTool;var R=o(349);T.TapTool=R.TapTool;var A=o(350);T.WheelPanTool=A.WheelPanTool;var I=o(351);T.WheelZoomTool=I.WheelZoomTool;var L=o(352);T.CrosshairTool=L.CrosshairTool;var W=o(353);T.CustomJSHover=W.CustomJSHover;var O=o(354);T.HoverTool=O.HoverTool;var _=o(274);T.InspectTool=_.InspectTool;var f=o(277);T.Tool=f.Tool;var g=o(355);T.ToolProxy=g.ToolProxy;var F=o(273);T.Toolbar=F.Toolbar;var G=o(283);T.ToolbarBase=G.ToolbarBase;var J=o(357);T.ProxyToolbar=J.ProxyToolbar;var U=o(357);T.ToolbarBox=U.ToolbarBox},\n",
+       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(285),e=n.__importStar(t(18)),c=t(278);class _ extends s.ActionToolButtonView{css_classes(){return super.css_classes().concat(c.bk_toolbar_button_custom_action)}}i.CustomActionButtonView=_,_.__name__=\"CustomActionButtonView\";class l extends s.ActionToolView{doit(){null!=this.model.callback&&this.model.callback.execute(this.model)}}i.CustomActionView=l,l.__name__=\"CustomActionView\";class u extends s.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=_}static init_CustomAction(){this.prototype.default_view=l,this.define({action_tooltip:[e.String,\"Perform a Custom Action\"],callback:[e.Any],icon:[e.String]})}get tooltip(){return this.action_tooltip}}i.CustomAction=u,u.__name__=\"CustomAction\",u.init_CustomAction()},\n",
+       "      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(285),s=o(287);class n extends i.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_redo())}doit(){this.plot_view.redo()}}t.RedoToolView=n,n.__name__=\"RedoToolView\";class _ extends i.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=s.bk_tool_icon_redo}static init_RedoTool(){this.prototype.default_view=n,this.override({disabled:!0}),this.register_alias(\"redo\",()=>new _)}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(285),i=e(287);class _ extends s.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=_,_.__name__=\"ResetToolView\";class l extends s.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=i.bk_tool_icon_reset}static init_ResetTool(){this.prototype.default_view=_,this.register_alias(\"reset\",()=>new l)}}o.ResetTool=l,l.__name__=\"ResetTool\",l.init_ResetTool()},\n",
+       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(285),s=e(287);class _ extends i.ActionToolView{doit(){this.plot_view.save(\"bokeh_plot\")}}t.SaveToolView=_,_.__name__=\"SaveToolView\";class a extends i.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=s.bk_tool_icon_save}static init_SaveTool(){this.prototype.default_view=_,this.register_alias(\"save\",()=>new a)}}t.SaveTool=a,a.__name__=\"SaveTool\",a.init_SaveTool()},\n",
+       "      function _(o,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=o(285),i=o(287);class s extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_undo())}doit(){this.plot_view.undo()}}e.UndoToolView=s,s.__name__=\"UndoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=i.bk_tool_icon_undo}static init_UndoTool(){this.prototype.default_view=s,this.override({disabled:!0}),this.register_alias(\"undo\",()=>new _)}}e.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n",
+       "      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),n=o(285),s=o(330),_=e.__importStar(o(18)),m=o(287);class l extends n.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,n=s.scale_range(o,this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:n}),this.plot_view.update_range(n,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomInToolView=l,l.__name__=\"ZoomInToolView\";class h extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom In\",this.icon=m.bk_tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_in\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_in\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_in\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomInTool=h,h.__name__=\"ZoomInTool\",h.init_ZoomInTool()},\n",
+       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=n(10);function r(n,t,e){const[o,r]=[n.start,n.end],c=null!=e?e:(r+o)/2;return[o-(o-c)*t,r-(r-c)*t]}function c(n,[t,e]){const o={};for(const r in n){const c=n[r],[s,l]=c.r_invert(t,e);o[r]={start:s,end:l}}return o}e.scale_highlow=r,e.get_info=c,e.scale_range=function(n,t,e=!0,s=!0,l){t=o.clamp(t,-.9,.9);const a=e?t:0,[u,i]=r(n.bbox.h_range,a,null!=l?l.x:void 0),_=c(n.xscales,[u,i]),f=s?t:0,[d,b]=r(n.bbox.v_range,f,null!=l?l.y:void 0);return{xrs:_,yrs:c(n.yscales,[d,b]),factor:t}}},\n",
+       "      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),s=o(285),n=o(330),_=e.__importStar(o(18)),m=o(287);class l extends s.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,s=n.scale_range(o,-this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:s}),this.plot_view.update_range(s,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomOutToolView=l,l.__name__=\"ZoomOutToolView\";class h extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom Out\",this.icon=m.bk_tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_out\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_out\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_out\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomOutTool=h,h.__name__=\"ZoomOutTool\",h.init_ZoomOutTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),n=e(9),i=e(8),r=e(11),_=e(284);class c extends _.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void r.unreachable():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){const o=this.plot_view.frame;return o.bbox.contains(e,t)?[o.xscales[s.x_range_name].invert(e),o.yscales[s.y_range_name].invert(t)]:null}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;e<s.length;e++){const t=s[e];o.splice(t-e,1)}}this._emit_cds_changes(t)}_pop_glyphs(e,t){const s=e.columns();if(t&&s.length)for(const o of s){let s=e.get_array(o);const n=s.length-t+1;n<1||(i.isArray(s)||(s=Array.from(s),e.data[o]=s),s.splice(0,n))}}_emit_cds_changes(e,t=!0,s=!0,o=!0){s&&e.selection_manager.clear(),t&&e.change.emit(),o&&(e.data=e.data,e.properties.data.change.emit())}_drag_points(e,t,s=\"both\"){if(null==this._basepoint)return;const[o,n]=this._basepoint;for(const i of t){const t=this._map_drag(o,n,i),r=this._map_drag(e.sx,e.sy,i);if(null==r||null==t)continue;const[_,c]=r,[a,l]=t,[d,u]=[_-a,c-l],m=i.glyph,h=i.data_source,[p,f]=[m.x.field,m.y.field];for(const e of h.selected.indices)!p||\"width\"!=s&&\"both\"!=s||(h.data[p][e]+=d),!f||\"height\"!=s&&\"both\"!=s||(h.data[f][e]+=u);h.change.emit()}this._basepoint=[e.sx,e.sy]}_pad_empty_columns(e,t){for(const s of e.columns())n.includes(t,s)||e.get_array(s).push(this.model.empty_value)}_select_event(e,t,s){const o=this.plot_view.frame,{sx:n,sy:i}=e;if(!o.bbox.contains(n,i))return[];const r={type:\"point\",sx:n,sy:i},_=[];for(const e of s){const s=e.get_selection_manager(),o=e.data_source,n=[this.plot_view.renderer_views.get(e)];s.select(n,r,!0,t)&&_.push(e),o.properties.selected.change.emit()}return _}}s.EditToolView=c,c.__name__=\"EditToolView\";class a extends _.GestureTool{constructor(e){super(e)}static init_EditTool(){this.define({custom_icon:[o.String],custom_tooltip:[o.String],empty_value:[o.Any],renderers:[o.Array,[]]})}get tooltip(){return this.custom_tooltip||this.tool_name}get computed_icon(){return this.custom_icon||this.icon}}s.EditTool=a,a.__name__=\"EditTool\",a.init_EditTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(68),o=i.__importStar(e(18)),n=e(332),a=e(287);class d extends n.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===_.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==_.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.frame,d=n.glyph,l=n.data_source,r=a.xscales[n.x_range_name],h=a.yscales[n.y_range_name],[p,u]=r.r_invert(e,t),[c,m]=h.r_invert(s,i),[f,b]=[(p+u)/2,(c+m)/2],[x,y]=[u-p,m-c],[w,g]=[d.x.field,d.y.field],[v,E]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),w&&l.get_array(w).push(f),g&&l.get_array(g).push(b),v&&l.get_array(v).push(x),E&&l.get_array(E).push(y),this._pad_empty_columns(l,[w,g,v,E]);else{const e=l.data[w].length-1;w&&(l.data[w][e]=f),g&&(l.data[g][e]=b),v&&(l.data[v][e]=x),E&&(l.data[E][e]=y)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=d,d.__name__=\"BoxEditToolView\";class l extends n.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=a.bk_tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}static init_BoxEditTool(){this.prototype.default_view=d,this.define({dimensions:[o.Dimensions,\"both\"],num_objects:[o.Int,0]})}}s.BoxEditTool=l,l.__name__=\"BoxEditTool\",l.init_BoxEditTool()},\n",
+       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),r=e(68),_=s.__importStar(e(18)),o=e(8),i=e(332),d=e(287);class n extends i.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,i]=r,d=s.data_source,n=s.glyph,[l,h]=[n.xs.field,n.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),l&&d.get_array(l).push([_]),h&&d.get_array(h).push([i]),this._pad_empty_columns(d,[l,h]);else if(\"add\"==t){if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];o.isArray(t)||(t=Array.from(t),d.data[l][e]=t),t.push(_)}if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];o.isArray(t)||(t=Array.from(t),d.data[h][e]=t),t.push(i)}}this._emit_cds_changes(d,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===r.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=n,n.__name__=\"FreehandDrawToolView\";class l extends i.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=d.bk_tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}static init_FreehandDrawTool(){this.prototype.default_view=n,this.define({num_objects:[_.Int,0]})}}a.FreehandDrawTool=l,l.__name__=\"FreehandDrawTool\",l.init_FreehandDrawTool()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(68),a=s.__importStar(e(18)),n=e(332),_=e(287);class r extends n.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],o=this._map_drag(e.sx,e.sy,t);if(null==o)return;const s=t.glyph,i=t.data_source,[a,n]=[s.x.field,s.y.field],[_,r]=o;this._pop_glyphs(i,this.model.num_objects),a&&i.get_array(a).push(_),n&&i.get_array(n).push(r),this._pad_empty_columns(i,[a,n]),i.change.emit(),i.data=i.data,i.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===i.Keys.Backspace?this._delete_selected(t):e.keyCode==i.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}o.PointDrawToolView=r,r.__name__=\"PointDrawToolView\";class d extends n.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=_.bk_tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}static init_PointDrawTool(){this.prototype.default_view=r,this.define({add:[a.Boolean,!0],drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}o.PointDrawTool=d,d.__name__=\"PointDrawTool\",d.init_PointDrawTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(68),a=i.__importStar(e(18)),o=e(8),n=e(337),_=e(287);class d extends n.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==r)return;const[a,n]=this._snap_to_vertex(e,...r),_=i.data_source,d=i.glyph,[l,h]=[d.xs.field,d.ys.field];if(\"new\"==t)this._pop_glyphs(_,this.model.num_objects),l&&_.get_array(l).push([a,a]),h&&_.get_array(h).push([n,n]),this._pad_empty_columns(_,[l,h]);else if(\"edit\"==t){if(l){const e=_.data[l][_.data[l].length-1];e[e.length-1]=a}if(h){const e=_.data[h][_.data[h].length-1];e[e.length-1]=n}}else if(\"add\"==t){if(l){const e=_.data[l].length-1;let t=_.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=a,o.isArray(t)||(t=Array.from(t),_.data[l][e]=t),t.push(s)}if(h){const e=_.data[h].length-1;let t=_.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=n,o.isArray(t)||(t=Array.from(t),_.data[h][e]=t),t.push(s)}}this._emit_cds_changes(_,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;s<this.model.renderers.length;s++){const i=this.model.renderers[s],r=i.data_source,a=i.glyph,[o,n]=[a.xs.field,a.ys.field];if(o)for(const t of r.get_array(o))Array.prototype.push.apply(e,t);if(n)for(const e of r.get_array(n))Array.prototype.push.apply(t,e);this._drawing&&s==this.model.renderers.length-1&&(e.splice(e.length-1,1),t.splice(t.length-1,1))}this._set_vertices(e,t)}_doubletap(e){this.model.active&&(this._drawing?(this._drawing=!1,this._draw(e,\"edit\",!0)):(this._drawing=!0,this._draw(e,\"new\",!0)))}_move(e){this._drawing&&this._draw(e,\"edit\")}_remove(){const e=this.model.renderers[0],t=e.data_source,s=e.glyph,[i,r]=[s.xs.field,s.ys.field];if(i){const e=t.data[i].length-1,s=t.get_array(i)[e];s.splice(s.length-1,1)}if(r){const e=t.data[r].length-1,s=t.get_array(r)[e];s.splice(s.length-1,1)}this._emit_cds_changes(t)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Backspace?this._delete_selected(t):e.keyCode==r.Keys.Esc&&(this._drawing&&(this._remove(),this._drawing=!1),t.data_source.selection_manager.clear())}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){if(null==this._basepoint||!this.model.drag)return;const[t,s]=this._basepoint;for(const i of this.model.renderers){const r=this._map_drag(t,s,i),a=this._map_drag(e.sx,e.sy,i);if(null==a||null==r)continue;const o=i.data_source,n=i.glyph,[_,d]=[n.xs.field,n.ys.field];if(!_&&!d)continue;const[l,h]=a,[c,g]=r,[p,f]=[l-c,h-g];for(const e of o.selected.indices){let t,s,i;_&&(s=o.data[_][e]),d?(i=o.data[d][e],t=i.length):t=s.length;for(let e=0;e<t;e++)s&&(s[e]+=p),i&&(i[e]+=f)}o.change.emit()}this._basepoint=[e.sx,e.sy]}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source);this._basepoint=null}}activate(){if(this.model.vertex_renderer&&this.model.active){if(this._show_vertices(),!this._initialized)for(const e of this.model.renderers){const t=e.data_source;t.connect(t.properties.data.change,()=>this._show_vertices())}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=d,d.__name__=\"PolyDrawToolView\";class l extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.bk_tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}static init_PolyDrawTool(){this.prototype.default_view=d,this.define({drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n",
+       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),i=e(8),s=e(332);class _ extends s.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,_]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),_&&(i.isArray(t)?o.data[_]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,\"replace\",[this.model.vertex_renderer]),i=this.model.vertex_renderer.data_source,s=this.model.vertex_renderer.glyph,[_,l]=[s.x.field,s.y.field];if(o.length){const e=i.selected.indices[0];_&&(t=i.data[_][e]),l&&(r=i.data[l][e]),i.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class l extends s.EditTool{constructor(e){super(e)}static init_PolyTool(){this.prototype.default_view=_,this.define({vertex_renderer:[o.Instance]})}}r.PolyTool=l,l.__name__=\"PolyTool\",l.init_PolyTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(68),i=e(8),_=e(337),d=e(287);class n extends _.PolyToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this._select_event(e,\"replace\",this.model.renderers);if(!t.length)return this._set_vertices([],[]),this._selected_renderer=null,void(this._drawing=!1);const s=t[0],r=s.glyph,_=s.data_source,d=_.selected.indices[0],[n,l]=[r.xs.field,r.ys.field];let a,c;n?(a=_.data[n][d],i.isArray(a)||(_.data[n][d]=a=Array.from(a))):a=r.xs.value,l?(c=_.data[l][d],i.isArray(c)||(_.data[l][d]=c=Array.from(c))):c=r.ys.value,this._selected_renderer=s,this._set_vertices(a,c)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===r.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==r.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=n,n.__name__=\"PolyEditToolView\";class l extends _.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=d.bk_tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=n}}s.PolyEditTool=l,l.__name__=\"PolyEditTool\",l.init_PolyEditTool()},\n",
+       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(340),l=e(107),_=s.__importStar(e(18)),n=e(287);class c extends i.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.push_state(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const _={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(_,i,l)}}o.BoxSelectToolView=c,c.__name__=\"BoxSelectToolView\";const r=()=>new l.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=n.bk_tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=c,this.define({dimensions:[_.Dimensions,\"both\"],select_every_mousemove:[_.Boolean,!1],overlay:[_.Instance,r],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_select\",()=>new h),this.register_alias(\"xbox_select\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_select\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}o.BoxSelectTool=h,h.__name__=\"BoxSelectTool\",h.init_BoxSelectTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),r=e(81),c=e(100),i=e(341),l=n.__importStar(e(18)),a=e(68),d=e(291),_=e(14),h=e(11);class u extends o.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect(()=>this._clear())}get computed_renderers(){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;return i.compute_renderers(e,t,s)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof r.GlyphRenderer)n=s.data_source;else{if(!(s instanceof c.GraphRenderer))continue;n=s.node_renderer.data_source}const o=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...o,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void h.unreachable():this.model.mode}_keyup(e){e.keyCode==a.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();this.plot_view.request_render()}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,o]of n){const n=o[0].get_selection_manager(),r=[];for(const e of o){const t=this.plot_view.renderer_views.get(e);null!=t&&r.push(t)}n.select(r,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{frame:s}=this.plot_view,n=s.xscales.default,o=s.yscales.default;let r;switch(e.type){case\"point\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:s,sy0:c,sy1:i}=e,[l,a]=n.r_invert(t,s),[d,_]=o.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:l,y0:d,x1:a,y1:_});break}case\"poly\":{const{sx:t,sy:s}=e,c=n.v_invert(t),i=o.v_invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new d.SelectionGeometry(r,t))}}s.SelectToolView=u,u.__name__=\"SelectToolView\";class p extends o.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new _.Signal0(this,\"clear\")}static init_SelectTool(){this.define({renderers:[l.Any,\"auto\"],names:[l.Array,[]],mode:[l.Any,\"replace\"]})}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=p,p.__name__=\"SelectTool\",p.init_SelectTool()},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(9);t.compute_renderers=function(e,n,t){if(null==e)return[];let u=\"auto\"==e?n:e;return t.length>0&&(u=u.filter(e=>r.includes(t,e.name))),u}},\n",
+       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),i=t(284),n=t(107),_=s.__importStar(t(18)),a=t(287);class l extends i.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m<n&&(m=n)),l=Math.abs(p-m),t[1]<=o[1]?(b=t[1],d=t[1]+l/s,d>_&&(d=_)):(d=t[1],b=t[1]-l/s,b<a&&(b=a)),r=Math.abs(d-b),t[0]<=o[0]?p=t[0]+s*r:m=t[0]-s*r,[[m,p],[b,d]]}_compute_limits(t){const o=this.plot_view.frame,e=this.model.dimensions;let s,i,n=this._base_point;if(\"center\"==this.model.origin){const[o,e]=n,[s,i]=t;n=[o-(s-o),e-(i-e)]}return this.model.match_aspect&&\"both\"==e?[s,i]=this._match_aspect(n,t,o):[s,i]=this.model._get_dim_limits(n,t,o,e),[s,i]}_pan_start(t){this._base_point=[t.sx,t.sy]}_pan(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this.model.overlay.update({left:e[0],right:e[1],top:s[0],bottom:s[1]})}_pan_end(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this._update(e,s),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null}_update([t,o],[e,s]){if(Math.abs(o-t)<=5||Math.abs(s-e)<=5)return;const{xscales:i,yscales:n}=this.plot_view.frame,_={};for(const e in i){const s=i[e],[n,a]=s.r_invert(t,o);_[e]={start:n,end:a}}const a={};for(const t in n){const o=n[t],[i,_]=o.r_invert(e,s);a[t]={start:i,end:_}}const l={xrs:_,yrs:a};this.plot_view.push_state(\"box_zoom\",{range:l}),this.plot_view.update_range(l)}}e.BoxZoomToolView=l,l.__name__=\"BoxZoomToolView\";const r=()=>new n.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=a.bk_tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=l,this.define({dimensions:[_.Dimensions,\"both\"],overlay:[_.Instance,r],match_aspect:[_.Boolean,!1],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_zoom\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xbox_zoom\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_zoom\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}e.BoxZoomTool=h,h.__name__=\"BoxZoomTool\",h.init_BoxZoomTool()},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(340),i=e(139),a=e(68),_=o.__importStar(e(18)),c=e(287);class n extends l.SelectToolView{initialize(){super.initialize(),this.data=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_overlay()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_overlay()}_pan_start(e){const{sx:s,sy:t}=e;this.data={sx:[s],sy:[t]}}_pan(e){const{sx:s,sy:t}=e,[o,l]=this.plot_view.frame.bbox.clip(s,t);this.data.sx.push(o),this.data.sy.push(l),this.model.overlay.update({xs:this.data.sx,ys:this.data.sy}),this.model.select_every_mousemove&&this._do_select(this.data.sx,this.data.sy,!1,this._select_mode(e))}_pan_end(e){this._clear_overlay(),this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"lasso_select\",{selection:this.plot_view.get_selection()})}_clear_overlay(){this.model.overlay.update({xs:[],ys:[]})}_do_select(e,s,t,o){const l={type:\"poly\",sx:e,sy:s};this._select(l,t,o)}}t.LassoSelectToolView=n,n.__name__=\"LassoSelectToolView\";const h=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class r extends l.SelectTool{constructor(e){super(e),this.tool_name=\"Lasso Select\",this.icon=c.bk_tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=n,this.define({select_every_mousemove:[_.Boolean,!0],overlay:[_.Instance,h]}),this.register_alias(\"lasso_select\",()=>new r)}}t.LassoSelectTool=r,r.__name__=\"LassoSelectTool\",r.init_LassoSelectTool()},\n",
+       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(345),r=s.__importStar(e(18)),_=e(287);class d extends n.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const i of t){1==this._select_event(e,\"replace\",[i]).length&&(this._selected_renderer=i)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[i,s]=[t.x.field,t.y.field],n=e.get_array(i),r=e.get_array(s);this._set_intersection(n,r)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const i=this._select_mode(e);if(0==this._select_event(e,i,[t]).length)return}const i=this._select_mode(e);this._select_event(e,i,[t]),this._select_event(e,i,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[i,s]=[e.x.field,e.y.field];if(i&&s){const e=t.data[i],n=t.data[s];this._selected_renderer.data_source.data[i]=e,this._selected_renderer.data_source.data[s]=n}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}i.LineEditToolView=d,d.__name__=\"LineEditToolView\";class o extends n.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=_.bk_tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_LineEditTool(){this.prototype.default_view=d,this.define({dimensions:[r.Dimensions,\"both\"]})}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.LineEditTool=o,o.__name__=\"LineEditTool\",o.init_LineEditTool()},\n",
+       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1).__importStar(e(18)),o=e(8),s=e(332);class _ extends s.EditToolView{_set_intersection(e,i){const t=this.model.intersection_renderer.glyph,n=this.model.intersection_renderer.data_source,[s,_]=[t.x.field,t.y.field];s&&(o.isArray(e)?n.data[s]=e:t.x={value:e}),_&&(o.isArray(i)?n.data[_]=i:t.y={value:i}),this._emit_cds_changes(n,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}t.LineToolView=_,_.__name__=\"LineToolView\";class r extends s.EditTool{constructor(e){super(e)}static init_LineTool(){this.prototype.default_view=_,this.define({intersection_renderer:[n.Instance]})}}t.LineTool=r,r.__name__=\"LineTool\",r.init_LineTool()},\n",
+       "      function _(t,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),e=t(284),o=i.__importStar(t(18)),a=t(287);class _ extends e.GestureToolView{_pan_start(t){this.last_dx=0,this.last_dy=0;const{sx:s,sy:n}=t,i=this.plot_view.frame.bbox;if(!i.contains(s,n)){const t=i.h_range,e=i.v_range;(s<t.start||s>t.end)&&(this.v_axis_only=!0),(n<e.start||n>e.end)&&(this.h_axis_only=!0)}null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan(t){this._update(t.deltaX,t.deltaY),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.push_state(\"pan\",{range:this.pan_info})}_update(t,s){const n=this.plot_view.frame,i=t-this.last_dx,e=s-this.last_dy,o=n.bbox.h_range,a=o.start-i,_=o.end-i,h=n.bbox.v_range,l=h.start-e,r=h.end-e,d=this.model.dimensions;let c,p,m,u,x,y;\"width\"!=d&&\"both\"!=d||this.v_axis_only?(c=o.start,p=o.end,m=0):(c=a,p=_,m=-i),\"height\"!=d&&\"both\"!=d||this.h_axis_only?(u=h.start,x=h.end,y=0):(u=l,x=r,y=-e),this.last_dx=t,this.last_dy=s;const{xscales:v,yscales:b}=n,g={};for(const t in v){const s=v[t],[n,i]=s.r_invert(c,p);g[t]={start:n,end:i}}const w={};for(const t in b){const s=b[t],[n,i]=s.r_invert(u,x);w[t]={start:n,end:i}}this.pan_info={xrs:g,yrs:w,sdx:m,sdy:y},this.plot_view.update_range(this.pan_info,!0)}}n.PanToolView=_,_.__name__=\"PanToolView\";class h extends e.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=_,this.define({dimensions:[o.Dimensions,\"both\"]}),this.register_alias(\"pan\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xpan\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ypan\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(\"Pan\",this.dimensions)}get icon(){switch(this.dimensions){case\"both\":return a.bk_tool_icon_pan;case\"width\":return a.bk_tool_icon_xpan;case\"height\":return a.bk_tool_icon_ypan}}}n.PanTool=h,h.__name__=\"PanTool\",h.init_PanTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const l=e(1),o=e(340),i=e(139),a=e(68),_=l.__importStar(e(18)),c=e(9),n=e(287);class h extends o.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:c.copy(this.data.sx),ys:c.copy(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=h,h.__name__=\"PolySelectToolView\";const y=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.bk_tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define({overlay:[_.Instance,y]}),this.register_alias(\"poly_select\",()=>new d)}}s.PolySelectTool=d,d.__name__=\"PolySelectTool\",d.init_PolySelectTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(107),l=e(72),a=i.__importStar(e(18)),r=e(284),o=e(287);function _(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function h(e,t,s,i){if(null==t)return!1;const n=s.compute(t);return Math.abs(e-n)<i}function d(e,t,s,i,n){let l=!0;if(null!=n.left&&null!=n.right){const t=s.invert(e);(t<n.left||t>n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=i.invert(t);(e<n.bottom||e>n.top)&&(l=!1)}return l}function u(e,t,s){let i=0;return e>=s.start&&e<=s.end&&(i+=1),t>=s.start&&t<=s.end&&(i+=1),i}function c(e,t,s,i){const n=t.compute(e),l=t.invert(n+s);return l>=i.start&&l<=i.end?l:e}function g(e,t,s){return e>t.start?(t.end=e,s):(t.end=t.start,t.start=e,_(s))}function y(e,t,s){return e<t.end?(t.start=e,s):(t.start=t.end,t.end=e,_(s))}function f(e,t,s,i){const[n,l]=t.r_compute(e.start,e.end),[a,r]=t.r_invert(n+s,l+s),o=u(e.start,e.end,i);u(a,r,i)>=o&&(e.start=a,e.end=r)}s.flip_side=_,s.is_near=h,s.is_inside=d,s.sides_inside=u,s.compute_value=c,s.update_range_end_side=g,s.update_range_start_side=y,s.update_range=f;class p extends r.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,()=>this.model.update_overlay_from_ranges()),null!=this.model.y_range&&this.connect(this.model.y_range.change,()=>this.model.update_overlay_from_ranges())}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,s=this.model.y_range,i=this.plot_view.frame,l=i.xscales.default,a=i.yscales.default,r=this.model.overlay,{left:o,right:_,top:u,bottom:c}=r,g=this.model.overlay.properties.line_width.value()+n.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(h(e.sx,o,l,g)?this.side=1:h(e.sx,_,l,g)?this.side=2:d(e.sx,e.sy,l,a,r)&&(this.side=3)),null!=s&&this.model.y_interaction&&(0==this.side&&h(e.sy,c,a,g)&&(this.side=4),0==this.side&&h(e.sy,u,a,g)?this.side=5:d(e.sx,e.sy,l,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,s=e.deltaX-this.last_dx,i=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.xscales.default,r=t.yscales.default;if(null!=n)if(3==this.side||7==this.side)f(n,a,s,t.x_range);else if(1==this.side){const e=c(n.start,a,s,t.x_range);this.side=y(e,n,this.side)}else if(2==this.side){const e=c(n.end,a,s,t.x_range);this.side=g(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)f(l,r,i,t.y_range);else if(4==this.side){const e=c(l.start,r,i,t.y_range);this.side=y(e,l,this.side)}else if(5==this.side){const e=c(l.end,r,i,t.y_range);this.side=g(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0}}s.RangeToolView=p,p.__name__=\"RangeToolView\";const m=()=>new n.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class v extends r.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=o.bk_tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=p,this.define({x_range:[a.Instance,null],x_interaction:[a.Boolean,!0],y_range:[a.Instance,null],y_interaction:[a.Boolean,!0],overlay:[a.Instance,m]})}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,l.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}s.RangeTool=v,v.__name__=\"RangeTool\",v.init_RangeTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),o=e(340),a=i.__importStar(e(18)),n=e(287);class _ extends o.SelectToolView{_tap(e){const{sx:t,sy:s}=e,i={type:\"point\",sx:t,sy:s};this._select(i,!0,this._select_mode(e))}_select(e,t,s){const i=this.model.callback;if(\"select\"==this.model.behavior){const o=this._computed_renderers_by_data_source();for(const[,a]of o){const o=a[0].get_selection_manager(),n=a.map(e=>this.plot_view.renderer_views.get(e));if(o.select(n,e,t,s)&&null!=i){const{frame:t}=this.plot_view,s=t.xscales[a[0].x_range_name],n=t.yscales[a[0].y_range_name],_=s.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:o.source};i.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.push_state(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=t.get_selection_manager();if(s.inspect(this.plot_view.renderer_views.get(t),e)&&null!=i){const{frame:o}=this.plot_view,a=o.xscales[t.x_range_name],n=o.yscales[t.y_range_name],_=a.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:s.source};i.execute(this.model,l)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class c extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=n.bk_tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=_,this.define({behavior:[a.TapBehavior,\"select\"],callback:[a.Any]}),this.register_alias(\"click\",()=>new c({behavior:\"inspect\"})),this.register_alias(\"tap\",()=>new c)}}s.TapTool=c,c.__name__=\"TapTool\",c.init_TapTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),i=n.__importStar(e(18)),a=e(287);class l extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){const{frame:t}=this.plot_view,s=t.bbox.h_range,n=t.bbox.v_range,[o,i]=[s.start,s.end],[a,l]=[n.start,n.end];let r,h,_,d;switch(this.model.dimension){case\"height\":{const t=Math.abs(l-a);r=o,h=i,_=a-t*e,d=l-t*e;break}case\"width\":{const t=Math.abs(i-o);r=o-t*e,h=i-t*e,_=a,d=l;break}default:throw new Error(\"this shouldn't have happened\")}const{xscales:c,yscales:p}=t,m={};for(const e in c){const t=c[e],[s,n]=t.r_invert(r,h);m[e]={start:s,end:n}}const u={};for(const e in p){const t=p[e],[s,n]=t.r_invert(_,d);u[e]={start:s,end:n}}const w={xrs:m,yrs:u,factor:e};this.plot_view.push_state(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,!1,!0),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}s.WheelPanToolView=l,l.__name__=\"WheelPanToolView\";class r extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=a.bk_tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=l,this.define({dimension:[i.Dimension,\"width\"]}),this.internal({speed:[i.Number,.001]}),this.register_alias(\"xwheel_pan\",()=>new r({dimension:\"width\"})),this.register_alias(\"ywheel_pan\",()=>new r({dimension:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimension)}}s.WheelPanTool=r,r.__name__=\"WheelPanTool\",r.init_WheelPanTool()},\n",
+       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),i=e(284),l=e(330),n=s.__importStar(e(18)),_=e(28),h=e(287);class a extends i.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:l}=e;let n;n=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:n,ctrlKey:i,shiftKey:l})}_scroll(e){const{frame:o}=this.plot_view,t=o.bbox.h_range,s=o.bbox.v_range,{sx:i,sy:n}=e,_=this.model.dimensions,h=(\"width\"==_||\"both\"==_)&&t.start<i&&i<t.end,a=(\"height\"==_||\"both\"==_)&&s.start<n&&n<s.end;if(!(h&&a||this.model.zoom_on_axis))return;const m=this.model.speed*e.delta,r=l.scale_range(o,m,h,a,{x:i,y:n});this.plot_view.push_state(\"wheel_zoom\",{range:r}),this.plot_view.update_range(r,!1,!0,this.model.maintain_focus),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}t.WheelZoomToolView=a,a.__name__=\"WheelZoomToolView\";class m extends i.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=h.bk_tool_icon_wheel_zoom,this.event_type=_.is_mobile?\"pinch\":\"scroll\",this.default_order=10}static init_WheelZoomTool(){this.prototype.default_view=a,this.define({dimensions:[n.Dimensions,\"both\"],maintain_focus:[n.Boolean,!0],zoom_on_axis:[n.Boolean,!0],speed:[n.Number,1/600]}),this.register_alias(\"wheel_zoom\",()=>new m({dimensions:\"both\"})),this.register_alias(\"xwheel_zoom\",()=>new m({dimensions:\"width\"})),this.register_alias(\"ywheel_zoom\",()=>new m({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}t.WheelZoomTool=m,m.__name__=\"WheelZoomTool\",m.init_WheelZoomTool()},\n",
+       "      function _(i,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=i(1),o=i(274),n=i(141),l=t.__importStar(i(18)),h=i(17),a=i(287);class r extends o.InspectToolView{_move(i){if(!this.model.active)return;const{sx:s,sy:e}=i;this.plot_view.frame.bbox.contains(s,e)?this._update_spans(s,e):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,s){const e=this.model.dimensions;\"width\"!=e&&\"both\"!=e||(this.model.spans.width.location=s),\"height\"!=e&&\"both\"!=e||(this.model.spans.height.location=i)}}e.CrosshairToolView=r,r.__name__=\"CrosshairToolView\";class _ extends o.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=a.bk_tool_icon_crosshair}static init_CrosshairTool(){this.prototype.default_view=r,this.define({dimensions:[l.Dimensions,\"both\"],line_color:[l.Color,\"black\"],line_width:[l.Number,1],line_alpha:[l.Number,1]}),this.internal({spans:[l.Any]}),this.register_alias(\"crosshair\",()=>new _)}get tooltip(){return this._get_dim_tooltip(\"Crosshair\",this.dimensions)}get synthetic_renderers(){return h.values(this.spans)}initialize(){super.initialize(),this.spans={width:new n.Span({for_hover:!0,dimension:\"width\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha}),height:new n.Span({for_hover:!0,dimension:\"height\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha})}}}e.CrosshairTool=_,_.__name__=\"CrosshairTool\",_.init_CrosshairTool()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),o=e(71),i=r.__importStar(e(18)),a=e(17),n=e(24);class u extends o.Model{constructor(e){super(e)}static init_CustomJSHover(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get values(){return a.values(this.args)}_make_code(e,t,s,r){return new Function(...a.keys(this.args),e,t,s,n.use_strict(r))}format(e,t,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,t,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(274),i=e(144),r=e(81),l=e(100),a=e(341),c=n.__importStar(e(93)),d=e(160),_=e(68),p=n.__importStar(e(18)),h=e(20),m=e(17),u=e(8),y=e(99),x=e(287),f=e(145);function v(e,t,s,n,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[e+1]};let a,d;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-s),d=Math.abs(l.x-s)):(a=Math.abs(r.y-n),d=Math.abs(l.y-n));else{const e={x:s,y:n};a=c.dist_2_pts(r,e),d=c.dist_2_pts(l,e)}return a<d?[[r.x,r.y],e]:[[l.x,l.y],e+1]}function w(e,t,s){return[[e[s],t[s]],s]}s._nearest_line_hit=v,s._line_hit=w;class g extends o.InspectToolView{initialize(){super.initialize(),this._ttmodels=null,this._ttviews=new Map}remove(){y.remove_views(this._ttviews),super.remove()}connect_signals(){super.connect_signals();for(const e of this.computed_renderers)e instanceof r.GlyphRenderer?this.connect(e.data_source.inspect,this._update):e instanceof l.GraphRenderer&&(this.connect(e.node_renderer.data_source.inspect,this._update),this.connect(e.edge_renderer.data_source.inspect,this._update));this.connect(this.model.properties.renderers.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.names.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.tooltips.change,()=>this._ttmodels=null)}_compute_ttmodels(){const e=new Map,t=this.model.tooltips;if(null!=t)for(const s of this.computed_renderers){const n=new i.Tooltip({custom:u.isString(t)||u.isFunction(t),attachment:this.model.attachment,show_arrow:this.model.show_arrow});s instanceof r.GlyphRenderer?e.set(s,n):s instanceof l.GraphRenderer&&(e.set(s.node_renderer,n),e.set(s.edge_renderer,n))}return y.build_views(this._ttviews,[...e.values()],{parent:this.plot_view}),e}get computed_renderers(){if(null==this._computed_renderers){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;this._computed_renderers=a.compute_renderers(e,t,s)}return this._computed_renderers}get ttmodels(){return null==this._ttmodels&&(this._ttmodels=this._compute_ttmodels()),this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)?this._inspect(t,s):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let s;if(\"mouse\"==this.model.mode)s={type:\"point\",sx:e,sy:t};else{s={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){e.get_selection_manager().inspect(this.plot_view.renderer_views.get(e),s)}null!=this.model.callback&&this._emit_callback(s)}_update([e,{geometry:t}]){if(!this.model.active)return;if(!(e instanceof r.GlyphRendererView))return;const{model:s}=e;if(\"ignore\"==this.model.muted_policy&&s instanceof r.GlyphRenderer&&s.muted)return;const n=this.ttmodels.get(s);if(null==n)return;n.clear();const o=s.get_selection_manager();let i=o.inspectors.get(s);if(s instanceof r.GlyphRenderer&&(i=s.view.convert_selection_to_subset(i)),i.is_empty())return;const l=o.source,{frame:a}=this.plot_view,{sx:c,sy:d}=t,_=a.xscales[s.x_range_name],p=a.yscales[s.y_range_name],h=_.invert(c),u=p.invert(d),y=e.glyph;for(const s of i.line_indices){let o,r,a=y._x[s+1],m=y._y[s+1],x=s;switch(this.model.line_policy){case\"interp\":[a,m]=y.get_interpolation_hit(s,t),o=_.compute(a),r=p.compute(m);break;case\"prev\":[[o,r],x]=w(y.sx,y.sy,s);break;case\"next\":[[o,r],x]=w(y.sx,y.sy,s+1);break;case\"nearest\":[[o,r],x]=v(s,t,c,d,y.sx,y.sy),a=y._x[x],m=y._y[x];break;default:[o,r]=[c,d]}const f={index:x,x:h,y:u,sx:c,sy:d,data_x:a,data_y:m,rx:o,ry:r,indices:i.line_indices,name:e.model.name};n.add(o,r,this._render_tooltips(l,x,f))}for(const e of i.image_indices){const t={index:e.index,x:h,y:u,sx:c,sy:d},s=this._render_tooltips(l,e,t);n.add(c,d,s)}for(const o of i.indices)if(m.isEmpty(i.multiline_indices)){const t=null!=y._x?y._x[o]:void 0,a=null!=y._y?y._y[o]:void 0;let _,p,m;if(\"snap_to_data\"==this.model.point_policy){let e=y.get_anchor_point(this.model.anchor,o,[c,d]);null==e&&(e=y.get_anchor_point(\"center\",o,[c,d])),_=e.x,p=e.y}else[_,p]=[c,d];m=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const x={index:m,x:h,y:u,sx:c,sy:d,data_x:t,data_y:a,indices:i.indices,name:e.model.name};n.add(_,p,this._render_tooltips(l,m,x))}else for(const a of i.multiline_indices[o.toString()]){let m,x,f,g=y._xs[o][a],b=y._ys[o][a],k=a;switch(this.model.line_policy){case\"interp\":[g,b]=y.get_interpolation_hit(o,a,t),m=_.compute(g),x=p.compute(b);break;case\"prev\":[[m,x],k]=w(y.sxs[o],y.sys[o],a);break;case\"next\":[[m,x],k]=w(y.sxs[o],y.sys[o],a+1);break;case\"nearest\":[[m,x],k]=v(a,t,c,d,y.sxs[o],y.sys[o]),g=y._xs[o][k],b=y._ys[o][k];break;default:throw new Error(\"should't have happened\")}f=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const T={index:f,x:h,y:u,sx:c,sy:d,data_x:g,data_y:b,segment_index:k,indices:i.multiline_indices,name:e.model.name};n.add(m,x,this._render_tooltips(l,f,T))}}_emit_callback(e){for(const t of this.computed_renderers){const s=t.data_source.inspected,{frame:n}=this.plot_view,o=n.xscales[t.x_range_name],i=n.yscales[t.y_range_name],r=o.invert(e.sx),l=i.invert(e.sy),a=Object.assign({x:r,y:l},e);this.model.callback.execute(this.model,{index:s,geometry:a,renderer:t})}}_render_tooltips(e,t,s){const n=this.model.tooltips;if(u.isString(n)){const o=_.div();return o.innerHTML=d.replace_placeholders(n,e,t,this.model.formatters,s),o}if(u.isFunction(n))return n(e,s);{const o=_.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[i,r]of n){const n=_.div({style:{display:\"table-row\"}});let l;if(o.appendChild(n),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_label},0!=i.length?i+\": \":\"\"),n.appendChild(l),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_value}),n.appendChild(l),r.indexOf(\"$color\")>=0){const[,s=\"\",n]=r.match(/\\$color(\\[.*\\])?:(\\w*)/),o=e.get_column(n);if(null==o){const e=_.span({},n+\" unknown\");l.appendChild(e);continue}const i=s.indexOf(\"hex\")>=0,a=s.indexOf(\"swatch\")>=0;let c=u.isNumber(t)?o[t]:null;if(null==c){const e=_.span({},\"(null)\");l.appendChild(e);continue}i&&(c=h.color2hex(c));let d=_.span({},c);l.appendChild(d),a&&(d=_.span({class:f.bk_tooltip_color_block,style:{backgroundColor:c}},\" \"),l.appendChild(d))}else{const n=_.span();n.innerHTML=d.replace_placeholders(r.replace(\"$~\",\"$data_\"),e,t,this.model.formatters,s),l.appendChild(n)}}return o}}}s.HoverToolView=g,g.__name__=\"HoverToolView\";class b extends o.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=x.bk_tool_icon_hover}static init_HoverTool(){this.prototype.default_view=g,this.define({tooltips:[p.Any,[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[p.Any,{}],renderers:[p.Any,\"auto\"],names:[p.Array,[]],mode:[p.HoverMode,\"mouse\"],muted_policy:[p.MutedPolicy,\"show\"],point_policy:[p.PointPolicy,\"snap_to_data\"],line_policy:[p.LinePolicy,\"nearest\"],show_arrow:[p.Boolean,!0],anchor:[p.Anchor,\"center\"],attachment:[p.TooltipAttachment,\"horizontal\"],callback:[p.Any]}),this.register_alias(\"hover\",()=>new b)}}s.HoverTool=b,b.__name__=\"HoverTool\",b.init_HoverTool()},\n",
+       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),n=t(14),s=t(71),l=t(274),c=t(356);class r extends s.Model{constructor(t){super(t)}static init_ToolProxy(){this.define({tools:[i.Array,[]],active:[i.Boolean,!1],disabled:[i.Boolean,!1]})}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof l.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new n.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,()=>this.doit()),this.connect(this.properties.active.change,()=>this.set_active());for(const t of this.tools)this.connect(t.properties.active.change,()=>{this.active=t.active})}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,i]of c.enumerate(t))if(null==e)o.push(null);else{const t=()=>{var t,o;for(const e of this.tools)null===(o=null===(t=e.menu)||void 0===t?void 0:t[i])||void 0===o||o.handler()};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=r,r.__name__=\"ToolProxy\",r.init_ToolProxy()},\n",
+       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=e(9);function*r(e,n){const o=e.length;if(n>o)return;const r=t.range(n);for(yield r.map(n=>e[n]);;){let f;for(const e of t.reversed(t.range(n)))if(r[e]!=e+o-n){f=e;break}if(null==f)return;r[f]+=1;for(const e of t.range(f+1,n))r[e]=r[e-1]+1;yield r.map(n=>e[n])}}o.enumerate=function*(e){let n=0;for(const o of e)yield[o,n++]},o.combinations=r,o.subsets=function*(e){for(const n of t.range(e.length+1))yield*r(e,n)}},\n",
+       "      function _(t,o,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),e=t(9),n=t(283),r=t(355),l=t(245),c=t(188);class h extends n.ToolbarBase{constructor(t){super(t)}static init_ProxyToolbar(){this.define({toolbars:[i.Array,[]]})}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const t={},o={},s={},i=[],n=[];for(const t of this.help)e.includes(n,t.redirect)||(i.push(t),n.push(t.redirect));this._proxied_tools.push(...i),this.help=i;for(const t in this.gestures){const o=this.gestures[t];t in s||(s[t]={});for(const i of o.tools)i.type in s[t]||(s[t][i.type]=[]),s[t][i.type].push(i)}for(const o of this.inspectors)o.type in t||(t[o.type]=[]),t[o.type].push(o);for(const t of this.actions)t.type in o||(o[t.type]=[]),o[t.type].push(t);const l=(t,o=!1)=>{const s=new r.ToolProxy({tools:t,active:o});return this._proxied_tools.push(s),s};for(const t in s){const o=this.gestures[t];o.tools=[];for(const i in s[t]){const e=s[t][i];if(e.length>0)if(\"multi\"==t)for(const t of e){const s=l([t]);o.tools.push(s),this.connect(s.properties.active.change,()=>this._active_change(s))}else{const t=l(e);o.tools.push(t),this.connect(t.properties.active.change,()=>this._active_change(t))}}}this.actions=[];for(const t in o){const s=o[t];if(\"CustomAction\"==t)for(const t of s)this.actions.push(l([t]));else s.length>0&&this.actions.push(l(s))}this.inspectors=[];for(const o in t){const s=t[o];s.length>0&&this.inspectors.push(l(s,!0))}for(const t in this.gestures){const o=this.gestures[t];0!=o.tools.length&&(o.tools=e.sort_by(o.tools,t=>t.default_order),\"pinch\"!=t&&\"scroll\"!=t&&\"multi\"!=t&&(o.tools[0].active=!0))}}}s.ProxyToolbar=h,h.__name__=\"ProxyToolbar\",h.init_ProxyToolbar();class a extends l.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new c.ContentBox(this.child_views[0].el);const{toolbar:t}=this.model;t.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}}s.ToolbarBoxView=a,a.__name__=\"ToolbarBoxView\";class _ extends l.LayoutDOM{constructor(t){super(t)}static init_ToolbarBox(){this.prototype.default_view=a,this.define({toolbar:[i.Instance],toolbar_location:[i.Location,\"right\"]})}}s.ToolbarBox=_,_.__name__=\"ToolbarBox\",_.init_ToolbarBox()},\n",
+       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(5),i=e(66),d=e(99),c=e(68),l=e(359);t.index={},t.add_document_standalone=async function(e,n,s=[],a=!1){const u=new Map;async function r(o){let a;const r=e.roots().indexOf(o),f=s[r];null!=f?a=f:n.classList.contains(l.BOKEH_ROOT)?a=n:(a=c.div({class:l.BOKEH_ROOT}),n.appendChild(a));const v=await d.build_view(o,{parent:null});return v instanceof i.DOMView&&v.renderTo(a),u.set(o,v),t.index[o.id]=v,v}for(const n of e.roots())await r(n);return a&&(window.document.title=e.title()),e.on_change(e=>{e instanceof o.RootAddedEvent?r(e.model):e instanceof o.RootRemovedEvent?function(e){const n=u.get(e);null!=n&&(n.remove(),u.delete(e),delete t.index[e.id])}(e.model):a&&e instanceof o.TitleChangedEvent&&(window.document.title=e.title)}),[...u.values()]}},\n",
+       "      function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(68),r=e(246);function l(e){let o=document.getElementById(e);if(null==o)throw new Error(`Error rendering Bokeh model: could not find #${e} HTML tag`);if(!document.body.contains(o))throw new Error(`Error rendering Bokeh model: element #${e} must be under <body>`);if(\"SCRIPT\"==o.tagName){const e=t.div({class:n.BOKEH_ROOT});t.replaceWith(o,e),o=e}return o}n.BOKEH_ROOT=r.bk_root,n._resolve_element=function(e){const{elementid:o}=e;return null!=o?l(o):document.body},n._resolve_root_elements=function(e){const o=[];if(null!=e.root_ids&&null!=e.roots)for(const n of e.root_ids)o.push(l(e.roots[n]));return o}},\n",
+       "      function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=n(361),s=n(72),c=n(358);t._get_ws_url=function(n,o){let t,e=\"ws:\";return\"https:\"==window.location.protocol&&(e=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),e+\"//\"+t.host+n+\"/ws\"};const r={};t.add_document_from_session=async function(n,o,t,a=[],i=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=e.parse_token(o).session_id;n in r||(r[n]={});const c=r[n];return s in c||(c[s]=e.pull_session(n,o,t)),c[s]}(n,o,l)}catch(n){const t=e.parse_token(o).session_id;throw s.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return c.add_document_standalone(d.document,t,a,i)}},\n",
+       "      function _(e,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(72),o=e(5),r=e(362),i=e(363),c=e(364);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let l=0;function _(e){let s=e.split(\".\")[0];const n=s.length%4;return 0!=n&&(s+=\"=\".repeat(4-n)),JSON.parse(atob(s.replace(/_/g,\"/\").replace(/-/g,\"+\")))}n.parse_token=_;class h{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,o=null){this.url=e,this.token=s,this.args_string=o,this._number=l++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new i.Receiver,this.id=_(s).session_id.split(\".\")[0],t.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=\"\"+this.url;return null!=this.args_string&&this.args_string.length>0&&(e+=\"?\"+this.args_string),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)})}catch(e){throw t.logger.error(\"websocket creation failed to url: \"+this.url),t.logger.error(\" - \"+e),e}}close(){this.closed_permanently||(t.logger.debug(\"Permanently closing websocket connection \"+this._number),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,\"close method called on ClientConnection \"+this._number),this.session._connection_closed())}_schedule_reconnect(e){setTimeout(()=>{this.closed_permanently||t.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)},e)}send(e){if(null==this.socket)throw new Error(\"not connected so cannot send \"+e);e.send(this.socket)}async send_with_reply(e){const s=await new Promise((s,n)=>{this._pending_replies.set(e.msgid(),{resolve:s,reject:n}),this.send(e)});if(\"ERROR\"===s.msgtype())throw new Error(\"Error reply \"+s.content.text);return s}async _pull_doc_json(){const e=r.Message.create(\"PULL-DOC-REQ\",{}),s=await this.send_with_reply(e);if(!(\"doc\"in s.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return s.content.doc}async _repull_session_doc(e,s){var n;t.logger.debug(this.session?\"Repulling session\":\"Pulling session for first time\");try{const n=await this._pull_doc_json();if(null==this.session)if(this.closed_permanently)t.logger.debug(\"Got new document after connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=o.Document.from_json(n),i=o.Document._compute_patch_since_json(n,s);if(i.events.length>0){t.logger.debug(`Sending ${i.events.length} changes from model construction back to server`);const e=r.Message.create(\"PATCH-DOC\",{},i);this.send(e)}this.session=new c.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],t.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),t.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),t.logger.error(\"Failed to repull session \"+e),s(e)}}_on_open(e,s){t.logger.info(`Websocket connection ${this._number} is now open`),this._current_handler=n=>{this._awaiting_ack_handler(n,e,s)}}_on_message(e){null==this._current_handler&&t.logger.error(\"Got a message with no current handler set\");try{this._receiver.consume(e.data)}catch(e){this._close_bad_protocol(e.toString())}const s=this._receiver.message;if(null!=s){const e=s.problem();null!=e&&this._close_bad_protocol(e),this._current_handler(s)}}_on_close(e,s){t.logger.info(`Lost websocket ${this._number} connection, ${e.code} (${e.reason})`),this.socket=null,this._pending_replies.forEach(e=>e.reject(\"Disconnected\")),this._pending_replies.clear(),this.closed_permanently||this._schedule_reconnect(2e3),s(new Error(`Lost websocket connection, ${e.code} (${e.reason})`))}_on_error(e){t.logger.debug(\"Websocket error on socket \"+this._number);const s=\"Could not open websocket\";t.logger.error(\"Failed to connect to Bokeh server: \"+s),e(new Error(s))}_close_bad_protocol(e){t.logger.error(\"Closing connection: \"+e),null!=this.socket&&this.socket.close(1002,e)}_awaiting_ack_handler(e,s,n){\"ACK\"===e.msgtype()?(this._current_handler=e=>this._steady_state_handler(e),this._repull_session_doc(s,n)):this._close_bad_protocol(\"First message was not an ACK\")}_steady_state_handler(e){const s=e.reqid(),n=this._pending_replies.get(s);n?(this._pending_replies.delete(s),n.resolve(e)):this.session?this.session.handle(e):\"PATCH-DOC\"!=e.msgtype()&&this._pending_messages.push(e)}}n.ClientConnection=h,h.__name__=\"ClientConnection\",n.pull_session=function(e,s,n){return new h(e,s,n).connect()}},\n",
+       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(24);class n{constructor(e,s,t){this.header=e,this.metadata=s,this.content=t,this.buffers=new Map}static assemble(e,s,t){const r=JSON.parse(e),i=JSON.parse(s),a=JSON.parse(t);return new n(r,i,a)}assemble_buffer(e,s){const t=null!=this.header.num_buffers?this.header.num_buffers:0;if(t<=this.buffers.size)throw new Error(\"too many buffers received, expecting \"+t);const{id:r}=JSON.parse(e);this.buffers.set(r,s)}static create(e,s,t={}){const r=n.create_header(e);return new n(r,s,t)}static create_header(e){return{msgid:r.uniqueId(),msgtype:e}}complete(){return null!=this.header&&null!=this.metadata&&null!=this.content&&(null==this.header.num_buffers||this.buffers.size==this.header.num_buffers)}send(e){if((null!=this.header.num_buffers?this.header.num_buffers:0)>0)throw new Error(\"BokehJS only supports receiving buffers, not sending\");const s=JSON.stringify(this.header),t=JSON.stringify(this.metadata),r=JSON.stringify(this.content);e.send(s),e.send(t),e.send(r)}msgid(){return this.header.msgid}msgtype(){return this.header.msgtype}reqid(){return this.header.reqid}problem(){return\"msgid\"in this.header?\"msgtype\"in this.header?null:\"No msgtype in header\":\"No msgid in header\"}}t.Message=n,n.__name__=\"Message\"},\n",
+       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const _=e(362),r=e(8);class i{constructor(){this.message=null,this._partial=null,this._fragments=[],this._buf_header=null,this._current_consumer=this._HEADER}consume(e){this._current_consumer(e)}_HEADER(e){this._assume_text(e),this.message=null,this._partial=null,this._fragments=[e],this._buf_header=null,this._current_consumer=this._METADATA}_METADATA(e){this._assume_text(e),this._fragments.push(e),this._current_consumer=this._CONTENT}_CONTENT(e){this._assume_text(e),this._fragments.push(e);const[t,s,r]=this._fragments.slice(0,3);this._partial=_.Message.assemble(t,s,r),this._check_complete()}_BUFFER_HEADER(e){this._assume_text(e),this._buf_header=e,this._current_consumer=this._BUFFER_PAYLOAD}_BUFFER_PAYLOAD(e){this._assume_binary(e),this._partial.assemble_buffer(this._buf_header,e),this._check_complete()}_assume_text(e){if(!r.isString(e))throw new Error(\"Expected text fragment but received binary fragment\")}_assume_binary(e){if(!(e instanceof ArrayBuffer))throw new Error(\"Expected binary fragment but received text fragment\")}_check_complete(){this._partial.complete()?(this.message=this._partial,this._current_consumer=this._HEADER):this._current_consumer=this._BUFFER_HEADER}}s.Receiver=i,i.__name__=\"Receiver\"},\n",
+       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(5),s=e(362),c=e(72);class i{constructor(e,t,n){this._connection=e,this.document=t,this.id=n,this._document_listener=e=>{this._document_changed(e)},this.document.on_change(this._document_listener,!0)}handle(e){const t=e.msgtype();\"PATCH-DOC\"===t?this._handle_patch(e):\"OK\"===t?this._handle_ok(e):\"ERROR\"===t?this._handle_error(e):c.logger.debug(\"Doing nothing with message \"+e.msgtype())}close(){this._connection.close()}_connection_closed(){this.document.remove_on_change(this._document_listener)}async request_server_info(){const e=s.Message.create(\"SERVER-INFO-REQ\",{});return(await this._connection.send_with_reply(e)).content}async force_roundtrip(){await this.request_server_info()}_document_changed(e){if(e.setter_id===this.id)return;const t=e instanceof o.DocumentEventBatch?e.events:[e],n=this.document.create_json_patch(t),c=s.Message.create(\"PATCH-DOC\",{},n);this._connection.send(c)}_handle_patch(e){this.document.apply_json_patch(e.content,e.buffers,this.id)}_handle_ok(e){c.logger.trace(\"Unhandled OK reply to \"+e.reqid())}_handle_error(e){c.logger.error(`Unhandled ERROR reply to ${e.reqid()}: ${e.content.text}`)}}n.ClientSession=i,i.__name__=\"ClientSession\"},\n",
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{});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END bokeh.min.js */\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN bokeh-widgets.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        factory(root[\"Bokeh\"], \"2.1.1\");\n",
+       "      })(this, function(Bokeh, version) {\n",
+       "        var define;\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
+       "          if (bokeh != null) {\n",
+       "            return bokeh.register_plugin(modules, entry, aliases);\n",
+       "          } else {\n",
+       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
+       "          }\n",
+       "        })\n",
+       "      ({\n",
+       "      390: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(391));o.Widgets=r,e(7).register_models(r)},\n",
+       "      391: function _(r,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});var a=r(392);t.AbstractButton=a.AbstractButton;var o=r(395);t.AbstractIcon=o.AbstractIcon;var u=r(396);t.AutocompleteInput=u.AutocompleteInput;var n=r(401);t.Button=n.Button;var i=r(402);t.CheckboxButtonGroup=i.CheckboxButtonGroup;var v=r(404);t.CheckboxGroup=v.CheckboxGroup;var p=r(406);t.ColorPicker=p.ColorPicker;var l=r(407);t.DatePicker=l.DatePicker;var c=r(410);t.DateRangeSlider=c.DateRangeSlider;var d=r(416);t.DateSlider=d.DateSlider;var g=r(417);t.Div=g.Div;var I=r(421);t.Dropdown=I.Dropdown;var S=r(422);t.FileInput=S.FileInput;var P=r(398);t.InputWidget=P.InputWidget;var k=r(418);t.Markup=k.Markup;var x=r(423);t.MultiSelect=x.MultiSelect;var D=r(424);t.Paragraph=D.Paragraph;var b=r(425);t.PasswordInput=b.PasswordInput;var s=r(426);t.MultiChoice=s.MultiChoice;var h=r(429);t.PreText=h.PreText;var A=r(430);t.RadioButtonGroup=A.RadioButtonGroup;var B=r(431);t.RadioGroup=B.RadioGroup;var C=r(432);t.RangeSlider=C.RangeSlider;var G=r(433);t.Select=G.Select;var R=r(434);t.Slider=R.Slider;var T=r(435);t.Spinner=T.Spinner;var M=r(397);t.TextInput=M.TextInput;var w=r(436);t.TextAreaInput=w.TextAreaInput;var W=r(437);t.Toggle=W.Toggle;var _=r(458);t.Widget=_.Widget},\n",
+       "      392: function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=i.__importStar(t(18)),o=t(68),l=t(99),r=t(393),_=t(254),c=i.__importDefault(t(256));class u extends r.ControlView{*controls(){yield this.button_el}async lazy_initialize(){await super.lazy_initialize();const{icon:t}=this.model;null!=t&&(this.icon_view=await l.build_view(t,{parent:this}))}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}remove(){null!=this.icon_view&&this.icon_view.remove(),super.remove()}styles(){return[...super.styles(),c.default]}_render_button(...t){return o.button({type:\"button\",disabled:this.model.disabled,class:[_.bk_btn,_.bk_btn_type(this.model.button_type)]},...t)}render(){super.render(),this.button_el=this._render_button(this.model.label),this.button_el.addEventListener(\"click\",()=>this.click()),null!=this.icon_view&&(o.prepend(this.button_el,this.icon_view.el,o.nbsp()),this.icon_view.render()),this.group_el=o.div({class:_.bk_btn_group},this.button_el),this.el.appendChild(this.group_el)}click(){}}n.AbstractButtonView=u,u.__name__=\"AbstractButtonView\";class a extends r.Control{constructor(t){super(t)}static init_AbstractButton(){this.define({label:[s.String,\"Button\"],icon:[s.Instance],button_type:[s.ButtonType,\"default\"]})}}n.AbstractButton=a,a.__name__=\"AbstractButton\",a.init_AbstractButton()},\n",
+       "      393: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(458),n=e(68);class i extends s.WidgetView{connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,()=>{for(const e of this.controls())n.toggle_attribute(e,\"disabled\",this.model.disabled)})}}o.ControlView=i,i.__name__=\"ControlView\";class l extends s.Widget{constructor(e){super(e)}}o.Control=l,l.__name__=\"Control\"},\n",
+       "      458: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(249),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n",
+       "      395: function _(e,t,c){Object.defineProperty(c,\"__esModule\",{value:!0});const s=e(71),n=e(66);class o extends n.DOMView{}c.AbstractIconView=o,o.__name__=\"AbstractIconView\";class _ extends s.Model{constructor(e){super(e)}}c.AbstractIcon=_,_.__name__=\"AbstractIcon\"},\n",
+       "      396: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),s=e(397),h=e(68),_=i.__importStar(e(18)),o=e(10),u=e(146),r=e(255),c=i.__importDefault(e(257));class l extends s.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),c.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",e=>this._keydown(e)),this.input_el.addEventListener(\"keyup\",e=>this._keyup(e)),this.menu=h.div({class:[r.bk_menu,u.bk_below]}),this.menu.addEventListener(\"click\",e=>this._menu_click(e)),this.menu.addEventListener(\"mouseover\",e=>this._menu_hover(e)),this.el.appendChild(this.menu),h.undisplay(this.menu)}change_input(){this._open&&this.menu.children.length>0&&(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu())}_update_completions(e){h.empty(this.menu);for(const t of e){const e=h.div({},t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(u.bk_active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,h.display(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,h.undisplay(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;t<this.menu.children.length&&this.menu.children[t].textContent!=e.target.textContent;t++);this._bump_hover(t)}}_bump_hover(e){const t=this.menu.children.length;this._open&&t>0&&(this.menu.children[this._hover_index].classList.remove(u.bk_active),this._hover_index=o.clamp(e,0,t-1),this.menu.children[this._hover_index].classList.add(u.bk_active))}_keydown(e){}_keyup(e){switch(e.keyCode){case h.Keys.Enter:this.change_input();break;case h.Keys.Esc:this._hide_menu();break;case h.Keys.Up:this._bump_hover(this._hover_index-1);break;case h.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.length<this.model.min_characters)return void this._hide_menu();const t=[],{case_sensitive:n}=this.model;let i;i=n?e=>e:e=>e.toLowerCase();for(const n of this.model.completions)i(n).startsWith(i(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class a extends s.TextInput{constructor(e){super(e)}static init_AutocompleteInput(){this.prototype.default_view=l,this.define({completions:[_.Array,[]],min_characters:[_.Int,2],case_sensitive:[_.Boolean,!0]})}}n.AutocompleteInput=a,a.__name__=\"AutocompleteInput\",a.init_AutocompleteInput()},\n",
+       "      397: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),p=n.__importStar(e(18)),u=e(400);class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.value_input.change,()=>this.input_el.value=this.model.value_input),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder)}render(){super.render(),this.input_el=l.input({type:\"text\",class:u.bk_input,name:this.model.name,value:this.model.value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.input_el.addEventListener(\"input\",()=>this.change_input_oninput()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_oninput(){this.model.value_input=this.input_el.value,super.change_input()}}i.TextInputView=a,a.__name__=\"TextInputView\";class h extends s.InputWidget{constructor(e){super(e)}static init_TextInput(){this.prototype.default_view=a,this.define({value:[p.String,\"\"],value_input:[p.String,\"\"],placeholder:[p.String,\"\"]})}}i.TextInput=h,h.__name__=\"TextInput\",h.init_TextInput()},\n",
+       "      398: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),l=t(393),s=t(68),_=n.__importStar(t(18)),o=n.__importDefault(t(399)),r=t(400);class p extends l.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,()=>{this.label_el.textContent=this.model.title})}styles(){return[...super.styles(),o.default]}render(){super.render();const{title:t}=this.model;this.label_el=s.label({style:{display:0==t.length?\"none\":\"\"}},t),this.group_el=s.div({class:r.bk_input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=p,p.__name__=\"InputWidgetView\";class u extends l.Control{constructor(t){super(t)}static init_InputWidget(){this.define({title:[_.String,\"\"]})}}i.InputWidget=u,u.__name__=\"InputWidget\",u.init_InputWidget()},\n",
+       "      399: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-input {\\n  display: inline-block;\\n  width: 100%;\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  min-height: 31px;\\n  padding: 0 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n}\\n.bk-root .bk-input:focus {\\n  border-color: #66afe9;\\n  outline: 0;\\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);\\n}\\n.bk-root .bk-input::placeholder,\\n.bk-root .bk-input:-ms-input-placeholder,\\n.bk-root .bk-input::-moz-placeholder,\\n.bk-root .bk-input::-webkit-input-placeholder {\\n  color: #999;\\n  opacity: 1;\\n}\\n.bk-root .bk-input[disabled] {\\n  cursor: not-allowed;\\n  background-color: #eee;\\n  opacity: 1;\\n}\\n.bk-root select:not([multiple]).bk-input,\\n.bk-root select:not([size]).bk-input {\\n  height: auto;\\n  appearance: none;\\n  -webkit-appearance: none;\\n  background-image: url(\\'data:image/svg+xml;utf8,<svg version=\"1.1\" viewBox=\"0 0 25 20\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M 0,0 25,0 12.5,20 Z\" fill=\"black\" /></svg>\\');\\n  background-position: right 0.5em center;\\n  background-size: 8px 6px;\\n  background-repeat: no-repeat;\\n}\\n.bk-root select[multiple].bk-input,\\n.bk-root select[size].bk-input,\\n.bk-root textarea.bk-input {\\n  height: auto;\\n}\\n.bk-root .bk-input-group {\\n  width: 100%;\\n  height: 100%;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: start;\\n  -webkit-align-items: start;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  white-space: nowrap;\\n}\\n.bk-root .bk-input-group.bk-inline {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-input-group.bk-inline > *:not(:first-child) {\\n  margin-left: 5px;\\n}\\n.bk-root .bk-input-group input[type=\"checkbox\"] + span,\\n.bk-root .bk-input-group input[type=\"radio\"] + span {\\n  position: relative;\\n  top: -2px;\\n  margin-left: 3px;\\n}\\n'},\n",
+       "      400: function _(u,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.bk_input=\"bk-input\",n.bk_input_group=\"bk-input-group\"},\n",
+       "      401: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(392),o=t(291);class s extends n.AbstractButtonView{click(){this.model.clicks=this.model.clicks+1,this.model.trigger_event(new o.ButtonClick),super.click()}}i.ButtonView=s,s.__name__=\"ButtonView\";class c extends n.AbstractButton{constructor(t){super(t)}static init_Button(){this.prototype.default_view=s,this.override({label:\"Button\"})}}i.Button=c,c.__name__=\"Button\",c.init_Button()},\n",
+       "      402: function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),c=t(403),s=t(68),n=i.__importStar(t(18)),a=t(146);class u extends c.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach((e,o)=>{s.classes(e).toggle(a.bk_active,t.has(o))})}}o.CheckboxButtonGroupView=u,u.__name__=\"CheckboxButtonGroupView\";class r extends c.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=u,this.define({active:[n.Array,[]]})}}o.CheckboxButtonGroup=r,r.__name__=\"CheckboxButtonGroup\",r.init_CheckboxButtonGroup()},\n",
+       "      403: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),o=t(393),i=t(68),r=n.__importStar(t(18)),_=t(254),u=n.__importDefault(t(256));class a extends o.ControlView{*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,()=>this.render()),this.on_change(t.labels,()=>this.render()),this.on_change(t.active,()=>this._update_active())}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map((t,e)=>{const s=i.div({class:[_.bk_btn,_.bk_btn_type(this.model.button_type)],disabled:this.model.disabled},t);return s.addEventListener(\"click\",()=>this.change_active(e)),s}),this._update_active();const t=i.div({class:_.bk_btn_group},this._buttons);this.el.appendChild(t)}}s.ButtonGroupView=a,a.__name__=\"ButtonGroupView\";class l extends o.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define({labels:[r.Array,[]],button_type:[r.ButtonType,\"default\"]})}}s.ButtonGroup=l,l.__name__=\"ButtonGroup\",l.init_ButtonGroup()},\n",
+       "      404: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(405),o=e(68),c=e(9),a=n.__importStar(e(18)),l=e(146),d=e(400);class r extends s.InputGroupView{render(){super.render();const e=o.div({class:[d.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const{active:t,labels:i}=this.model;this._inputs=[];for(let n=0;n<i.length;n++){const s=o.input({type:\"checkbox\",value:\"\"+n});s.addEventListener(\"change\",()=>this.change_active(n)),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),c.includes(t,n)&&(s.checked=!0);const a=o.label({},s,o.span({},i[n]));e.appendChild(a)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}i.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class p extends s.InputGroup{constructor(e){super(e)}static init_CheckboxGroup(){this.prototype.default_view=r,this.define({active:[a.Array,[]],labels:[a.Array,[]],inline:[a.Boolean,!1]})}}i.CheckboxGroup=p,p.__name__=\"CheckboxGroup\",p.init_CheckboxGroup()},\n",
+       "      405: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),o=e(393),r=s.__importDefault(e(399));class u extends o.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}styles(){return[...super.styles(),r.default]}}n.InputGroupView=u,u.__name__=\"InputGroupView\";class _ extends o.Control{constructor(e){super(e)}}n.InputGroup=_,_.__name__=\"InputGroup\"},\n",
+       "      406: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),o=e(398),s=e(68),l=n.__importStar(e(18)),r=e(400);class c extends o.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.color.change,()=>this.input_el.value=this.model.color),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled)}render(){super.render(),this.input_el=s.input({type:\"color\",class:r.bk_input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}t.ColorPickerView=c,c.__name__=\"ColorPickerView\";class d extends o.InputWidget{constructor(e){super(e)}static init_ColorPicker(){this.prototype.default_view=c,this.define({color:[l.Color,\"#000000\"]})}}t.ColorPicker=d,d.__name__=\"ColorPicker\",d.init_ColorPicker()},\n",
+       "      407: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=n.__importDefault(e(408)),a=e(398),l=e(68),o=n.__importStar(e(18)),r=e(8),d=e(400),c=n.__importDefault(e(409));function u(e){const t=[];for(const i of e)if(r.isString(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class _ extends a.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,()=>{var t;return null===(t=this._picker)||void 0===t?void 0:t.setDate(e.value())}),this.connect(t.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",t.value())}),this.connect(i.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",i.value())}),this.connect(n.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",n.value())}),this.connect(s.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",s.value())}),this.connect(a.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",a.value())}),this.connect(l.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",l.value())})}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),c.default]}render(){null==this._picker&&(super.render(),this.input_el=l.input({type:\"text\",class:d.bk_input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=s.default(this.input_el,{defaultDate:this.model.value,minDate:this.model.min_date,maxDate:this.model.max_date,inline:this.model.inline,position:this.model.position,disable:u(this.model.disabled_dates),enable:u(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=_,_.__name__=\"DatePickerView\";class h extends a.InputWidget{constructor(e){super(e)}static init_DatePicker(){this.prototype.default_view=_,this.define({value:[o.Any],min_date:[o.Any],max_date:[o.Any],disabled_dates:[o.Any,[]],enabled_dates:[o.Any,[]],position:[o.CalendarPosition,\"auto\"],inline:[o.Boolean,!1]})}}i.DatePicker=h,h.__name__=\"DatePicker\",h.init_DatePicker()},\n",
+       "      408: function _(e,t,n){\n",
+       "      /* flatpickr v4.6.3, @license MIT */var a,i;a=this,i=function(){\"use strict\";\n",
+       "      /*! *****************************************************************************\n",
+       "              Copyright (c) Microsoft Corporation. All rights reserved.\n",
+       "              Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n",
+       "              this file except in compliance with the License. You may obtain a copy of the\n",
+       "              License at http://www.apache.org/licenses/LICENSE-2.0\n",
+       "          \n",
+       "              THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n",
+       "              KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n",
+       "              WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n",
+       "              MERCHANTABLITY OR NON-INFRINGEMENT.\n",
+       "          \n",
+       "              See the Apache Version 2.0 License for specific language governing permissions\n",
+       "              and limitations under the License.\n",
+       "              ***************************************************************************** */var e=function(){return(e=Object.assign||function(e){for(var t,n=1,a=arguments.length;n<a;n++)for(var i in t=arguments[n])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e}).apply(this,arguments)},t=[\"onChange\",\"onClose\",\"onDayCreate\",\"onDestroy\",\"onKeyDown\",\"onMonthChange\",\"onOpen\",\"onParseConfig\",\"onReady\",\"onValueUpdate\",\"onYearChange\",\"onPreCalendarPosition\"],n={_disable:[],_enable:[],allowInput:!1,altFormat:\"F j, Y\",altInput:!1,altInputClass:\"form-control input\",animate:\"object\"==typeof window&&-1===window.navigator.userAgent.indexOf(\"MSIE\"),ariaDateFormat:\"F j, Y\",clickOpens:!0,closeOnSelect:!0,conjunction:\", \",dateFormat:\"Y-m-d\",defaultHour:12,defaultMinute:0,defaultSeconds:0,disable:[],disableMobile:!1,enable:[],enableSeconds:!1,enableTime:!1,errorHandler:function(e){return\"undefined\"!=typeof 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n=t?e:e-h.currentMonth;n<0&&!0===h._hidePrevMonthArrow||n>0&&!0===h._hideNextMonthArrow||(h.currentMonth+=n,(h.currentMonth<0||h.currentMonth>11)&&(h.currentYear+=h.currentMonth>11?1:-1,h.currentMonth=(h.currentMonth+12)%12,fe(\"onYearChange\"),B()),R(),fe(\"onMonthChange\"),pe())}function z(e){return!(!h.config.appendTo||!h.config.appendTo.contains(e))||h.calendarContainer.contains(e)}function G(e){if(h.isOpen&&!h.config.inline){var t=\"function\"==typeof(r=e).composedPath?r.composedPath()[0]:r.target,n=z(t),a=t===h.input||t===h.altInput||h.element.contains(t)||e.path&&e.path.indexOf&&(~e.path.indexOf(h.input)||~e.path.indexOf(h.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!z(e.relatedTarget):!a&&!n&&!z(e.relatedTarget),o=!h.config.ignoredFocusElements.some((function(e){return e.contains(t)}));i&&o&&(void 0!==h.timeContainer&&void 0!==h.minuteElement&&void 0!==h.hourElement&&x(),h.close(),\"range\"===h.config.mode&&1===h.selectedDates.length&&(h.clear(!1),h.redraw()))}var 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0!==n&&r.getTime()===n.getTime())return a;if(\"string\"==typeof r&&void 0!==n){var l=h.parseDate(r,void 0,!0);return l&&l.getTime()===n.getTime()?a:!a}if(\"object\"==typeof r&&void 0!==n&&r.from&&r.to&&n.getTime()>=r.from.getTime()&&n.getTime()<=r.to.getTime())return a}return!a}function Q(e){return void 0!==h.daysContainer&&-1===e.className.indexOf(\"hidden\")&&h.daysContainer.contains(e)}function X(e){var t=e.target===h._input,n=h.config.allowInput,a=h.isOpen&&(!n||!t),i=h.config.inline&&t&&!n;if(13===e.keyCode&&t){if(n)return h.setDate(h._input.value,!0,e.target===h.altInput?h.config.altFormat:h.config.dateFormat),e.target.blur();h.open()}else if(z(e.target)||a||i){var o=!!h.timeContainer&&h.timeContainer.contains(e.target);switch(e.keyCode){case 13:o?(e.preventDefault(),x(),le()):ce(e);break;case 27:e.preventDefault(),le();break;case 8:case 46:t&&!h.config.allowInput&&(e.preventDefault(),h.clear());break;case 37:case 39:if(o||t)h.hourElement&&h.hourElement.focus();else if(e.preventDefault(),void 0!==h.daysContainer&&(!1===n||document.activeElement&&Q(document.activeElement))){var r=39===e.keyCode?1:-1;e.ctrlKey?(e.stopPropagation(),$(r),L(H(1),0)):L(void 0,r)}break;case 38:case 40:e.preventDefault();var l=40===e.keyCode?1:-1;h.daysContainer&&void 0!==e.target.$i||e.target===h.input||e.target===h.altInput?e.ctrlKey?(e.stopPropagation(),V(h.currentYear-l),L(H(1),0)):o||L(void 0,7*l):e.target===h.currentYearElement?V(h.currentYear-l):h.config.enableTime&&(!o&&h.hourElement&&h.hourElement.focus(),x(e),h._debouncedChange());break;case 9:if(o){var c=[h.hourElement,h.minuteElement,h.secondElement,h.amPM].concat(h.pluginElements).filter((function(e){return e})),d=c.indexOf(e.target);if(-1!==d){var s=c[d+(e.shiftKey?-1:1)];e.preventDefault(),(s||h._input).focus()}}else!h.config.noCalendar&&h.daysContainer&&h.daysContainer.contains(e.target)&&e.shiftKey&&(e.preventDefault(),h._input.focus())}}if(void 0!==h.amPM&&e.target===h.amPM)switch(e.key){case h.l10n.amPM[0].charAt(0):case h.l10n.amPM[0].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[0],E(),ve();break;case h.l10n.amPM[1].charAt(0):case h.l10n.amPM[1].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[1],E(),ve()}(t||z(e.target))&&fe(\"onKeyDown\",e)}function ee(e){if(1===h.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var t=e?e.dateObj.getTime():h.days.firstElementChild.dateObj.getTime(),n=h.parseDate(h.selectedDates[0],void 0,!0).getTime(),a=Math.min(t,h.selectedDates[0].getTime()),i=Math.max(t,h.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;c<i;c+=b)Z(new Date(c),!0)||(o=o||c>a&&c<i,c<n&&(!r||c>r)?r=c:c>n&&(!l||c<l)&&(l=c));for(var d=0;d<h.config.showMonths;d++)for(var s=h.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(t<=h.selectedDates[0].getTime()?\"startRange\":\"endRange\"),n<t&&m===n?f.classList.add(\"startRange\"):n>t&&m===n&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=n,u=t,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function te(){!h.isOpen||h.config.static||h.config.inline||oe()}function ne(){h.setDate(void 0!==h.config.minDate?new Date(h.config.minDate.getTime()):new Date,!0),k(),ve()}function ae(e){return function(t){var n=h.config[\"_\"+e+\"Date\"]=h.parseDate(t,h.config.dateFormat),a=h.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==n&&(h[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=n.getHours()>0||n.getMinutes()>0||n.getSeconds()>0),h.selectedDates&&(h.selectedDates=h.selectedDates.filter((function(e){return Z(e)})),h.selectedDates.length||\"min\"!==e||T(n),ve()),h.daysContainer&&(re(),void 0!==n?h.currentYearElement[e]=n.getFullYear().toString():h.currentYearElement.removeAttribute(e),h.currentYearElement.disabled=!!a&&void 0!==n&&a.getFullYear()===n.getFullYear())}}function ie(){\"object\"!=typeof h.config.locale&&void 0===y.l10ns[h.config.locale]&&h.config.errorHandler(new Error(\"flatpickr: invalid locale \"+h.config.locale)),h.l10n=e({},y.l10ns.default,\"object\"==typeof h.config.locale?h.config.locale:\"default\"!==h.config.locale?y.l10ns[h.config.locale]:void 0),p.K=\"(\"+h.l10n.amPM[0]+\"|\"+h.l10n.amPM[1]+\"|\"+h.l10n.amPM[0].toLowerCase()+\"|\"+h.l10n.amPM[1].toLowerCase()+\")\",void 0===e({},g,JSON.parse(JSON.stringify(f.dataset||{}))).time_24hr&&void 0===y.defaultConfig.time_24hr&&(h.config.time_24hr=h.l10n.time_24hr),h.formatDate=v(h),h.parseDate=D({config:h.config,l10n:h.l10n})}function oe(e){if(void 0!==h.calendarContainer){fe(\"onPreCalendarPosition\");var t=e||h._positionElement,n=Array.prototype.reduce.call(h.calendarContainer.children,(function(e,t){return e+t.offsetHeight}),0),a=h.calendarContainer.offsetWidth,i=h.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=t.getBoundingClientRect(),d=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&d<n&&l.top>n,u=window.pageYOffset+l.top+(s?-n-2:t.offsetHeight+2);if(c(h.calendarContainer,\"arrowTop\",!s),c(h.calendarContainer,\"arrowBottom\",s),!h.config.inline){var f=window.pageXOffset+l.left-(null!=r&&\"center\"===r?(a-l.width)/2:0),m=window.document.body.offsetWidth-(window.pageXOffset+l.right),g=f+a>window.document.body.offsetWidth,p=m+a>window.document.body.offsetWidth;if(c(h.calendarContainer,\"rightMost\",g),!h.config.static)if(h.calendarContainer.style.top=u+\"px\",g)if(p){var v=document.styleSheets[0];if(void 0===v)return;var D=window.document.body.offsetWidth,w=Math.max(0,D/2-a/2),b=v.cssRules.length,C=\"{left:\"+l.left+\"px;right:auto;}\";c(h.calendarContainer,\"rightMost\",!1),c(h.calendarContainer,\"centerMost\",!0),v.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+C,b),h.calendarContainer.style.left=w+\"px\",h.calendarContainer.style.right=\"auto\"}else h.calendarContainer.style.left=\"auto\",h.calendarContainer.style.right=m+\"px\";else h.calendarContainer.style.left=f+\"px\",h.calendarContainer.style.right=\"auto\"}}}function re(){h.config.noCalendar||h.isMobile||(pe(),R())}function le(){h._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(h.close,0):h.close()}function ce(e){e.preventDefault(),e.stopPropagation();var t=function e(t,n){return n(t)?t:t.parentNode?e(t.parentNode,n):void 0}(e.target,(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==t){var n=t,a=h.latestSelectedDateObj=new Date(n.dateObj.getTime()),i=(a.getMonth()<h.currentMonth||a.getMonth()>h.currentMonth+h.config.showMonths-1)&&\"range\"!==h.config.mode;if(h.selectedDateElem=n,\"single\"===h.config.mode)h.selectedDates=[a];else if(\"multiple\"===h.config.mode){var o=ge(a);o?h.selectedDates.splice(parseInt(o),1):h.selectedDates.push(a)}else\"range\"===h.config.mode&&(2===h.selectedDates.length&&h.clear(!1,!1),h.latestSelectedDateObj=a,h.selectedDates.push(a),0!==w(a,h.selectedDates[0],!0)&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()})));if(E(),i){var r=h.currentYear!==a.getFullYear();h.currentYear=a.getFullYear(),h.currentMonth=a.getMonth(),r&&(fe(\"onYearChange\"),B()),fe(\"onMonthChange\")}if(pe(),R(),ve(),h.config.enableTime&&setTimeout((function(){return h.showTimeInput=!0}),50),i||\"range\"===h.config.mode||1!==h.config.showMonths?void 0!==h.selectedDateElem&&void 0===h.hourElement&&h.selectedDateElem&&h.selectedDateElem.focus():j(n),void 0!==h.hourElement&&void 0!==h.hourElement&&h.hourElement.focus(),h.config.closeOnSelect){var l=\"single\"===h.config.mode&&!h.config.enableTime,c=\"range\"===h.config.mode&&2===h.selectedDates.length&&!h.config.enableTime;(l||c)&&le()}F()}}h.parseDate=D({config:h.config,l10n:h.l10n}),h._handlers=[],h.pluginElements=[],h.loadedPlugins=[],h._bind=O,h._setHoursFromDate=T,h._positionCalendar=oe,h.changeMonth=$,h.changeYear=V,h.clear=function(e,t){void 0===e&&(e=!0),void 0===t&&(t=!0),h.input.value=\"\",void 0!==h.altInput&&(h.altInput.value=\"\"),void 0!==h.mobileInput&&(h.mobileInput.value=\"\"),h.selectedDates=[],h.latestSelectedDateObj=void 0,!0===t&&(h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth()),h.showTimeInput=!1,!0===h.config.enableTime&&k(),h.redraw(),e&&fe(\"onChange\")},h.close=function(){h.isOpen=!1,h.isMobile||(void 0!==h.calendarContainer&&h.calendarContainer.classList.remove(\"open\"),void 0!==h._input&&h._input.classList.remove(\"active\")),fe(\"onClose\")},h._createElement=d,h.destroy=function(){void 0!==h.config&&fe(\"onDestroy\");for(var e=h._handlers.length;e--;){var t=h._handlers[e];t.element.removeEventListener(t.event,t.handler,t.options)}if(h._handlers=[],h.mobileInput)h.mobileInput.parentNode&&h.mobileInput.parentNode.removeChild(h.mobileInput),h.mobileInput=void 0;else if(h.calendarContainer&&h.calendarContainer.parentNode)if(h.config.static&&h.calendarContainer.parentNode){var n=h.calendarContainer.parentNode;if(n.lastChild&&n.removeChild(n.lastChild),n.parentNode){for(;n.firstChild;)n.parentNode.insertBefore(n.firstChild,n);n.parentNode.removeChild(n)}}else h.calendarContainer.parentNode.removeChild(h.calendarContainer);h.altInput&&(h.input.type=\"text\",h.altInput.parentNode&&h.altInput.parentNode.removeChild(h.altInput),delete 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0!==h.mobileInput&&(h.mobileInput.focus(),h.mobileInput.click()),void fe(\"onOpen\");if(!h._input.disabled&&!h.config.inline){var n=h.isOpen;h.isOpen=!0,n||(h.calendarContainer.classList.add(\"open\"),h._input.classList.add(\"active\"),fe(\"onOpen\"),oe(t)),!0===h.config.enableTime&&!0===h.config.noCalendar&&(0===h.selectedDates.length&&ne(),!1!==h.config.allowInput||void 0!==e&&h.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return h.hourElement.select()}),50))}},h.redraw=re,h.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(h.config,e),e)void 0!==de[a]&&de[a].forEach((function(e){return e()}));else h.config[e]=n,void 0!==de[e]?de[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(h.config[e]=l(n));h.redraw(),ve(!1)},h.setDate=function(e,t,n){if(void 0===t&&(t=!1),void 0===n&&(n=h.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return h.clear(t);se(e,n),h.showTimeInput=h.selectedDates.length>0,h.latestSelectedDateObj=h.selectedDates[h.selectedDates.length-1],h.redraw(),N(),T(),0===h.selectedDates.length&&h.clear(!1),ve(t),t&&fe(\"onChange\")},h.toggle=function(e){if(!0===h.isOpen)return h.close();h.open(e)};var de={locale:[ie,q],showMonths:[K,M,U],minDate:[N],maxDate:[N]};function se(e,t){var n=[];if(e instanceof Array)n=e.map((function(e){return h.parseDate(e,t)}));else if(e instanceof Date||\"number\"==typeof e)n=[h.parseDate(e,t)];else if(\"string\"==typeof e)switch(h.config.mode){case\"single\":case\"time\":n=[h.parseDate(e,t)];break;case\"multiple\":n=e.split(h.config.conjunction).map((function(e){return h.parseDate(e,t)}));break;case\"range\":n=e.split(h.l10n.rangeSeparator).map((function(e){return h.parseDate(e,t)}))}else h.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));h.selectedDates=n.filter((function(e){return e instanceof Date&&Z(e,!1)})),\"range\"===h.config.mode&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()}))}function ue(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?h.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:h.parseDate(e.from,void 0),to:h.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function fe(e,t){if(void 0!==h.config){var n=h.config[e];if(void 0!==n&&n.length>0)for(var a=0;n[a]&&a<n.length;a++)n[a](h.selectedDates,h.input.value,h,t);\"onChange\"===e&&(h.input.dispatchEvent(me(\"change\")),h.input.dispatchEvent(me(\"input\")))}}function me(e){var t=document.createEvent(\"Event\");return t.initEvent(e,!0,!0),t}function ge(e){for(var t=0;t<h.selectedDates.length;t++)if(0===w(h.selectedDates[t],e))return\"\"+t;return!1}function pe(){h.config.noCalendar||h.isMobile||!h.monthNav||(h.yearElements.forEach((function(e,t){var n=new Date(h.currentYear,h.currentMonth,1);n.setMonth(h.currentMonth+t),h.config.showMonths>1||\"static\"===h.config.monthSelectorType?h.monthElements[t].textContent=m(n.getMonth(),h.config.shorthandCurrentMonth,h.l10n)+\" \":h.monthsDropdownContainer.value=n.getMonth().toString(),e.value=n.getFullYear().toString()})),h._hidePrevMonthArrow=void 0!==h.config.minDate&&(h.currentYear===h.config.minDate.getFullYear()?h.currentMonth<=h.config.minDate.getMonth():h.currentYear<h.config.minDate.getFullYear()),h._hideNextMonthArrow=void 0!==h.config.maxDate&&(h.currentYear===h.config.maxDate.getFullYear()?h.currentMonth+1>h.config.maxDate.getMonth():h.currentYear>h.config.maxDate.getFullYear()))}function he(e){return h.selectedDates.map((function(t){return h.formatDate(t,e)})).filter((function(e,t,n){return\"range\"!==h.config.mode||h.config.enableTime||n.indexOf(e)===t})).join(\"range\"!==h.config.mode?h.config.conjunction:h.l10n.rangeSeparator)}function ve(e){void 0===e&&(e=!0),void 0!==h.mobileInput&&h.mobileFormatStr&&(h.mobileInput.value=void 0!==h.latestSelectedDateObj?h.formatDate(h.latestSelectedDateObj,h.mobileFormatStr):\"\"),h.input.value=he(h.config.dateFormat),void 0!==h.altInput&&(h.altInput.value=he(h.config.altFormat)),!1!==e&&fe(\"onValueUpdate\")}function De(e){var t=h.prevMonthNav.contains(e.target),n=h.nextMonthNav.contains(e.target);t||n?$(t?-1:1):h.yearElements.indexOf(e.target)>=0?e.target.select():e.target.classList.contains(\"arrowUp\")?h.changeYear(h.currentYear+1):e.target.classList.contains(\"arrowDown\")&&h.changeYear(h.currentYear-1)}return function(){h.element=h.input=f,h.isOpen=!1,function(){var 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-webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  overflow: hidden;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\n.flatpickr-months .flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month {\\n  text-decoration: none;\\n  cursor: pointer;\\n  position: absolute;\\n  top: 0;\\n  height: 34px;\\n  padding: 10px;\\n  z-index: 3;\\n  color: rgba(0, 0, 0, 0.9);\\n  fill: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-disabled,\\n.flatpickr-months .flatpickr-next-month.flatpickr-disabled {\\n  display: none;\\n}\\n.flatpickr-months .flatpickr-prev-month i,\\n.flatpickr-months .flatpickr-next-month i {\\n  position: relative;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-prev-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  left: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month.flatpickr-next-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-next-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  right: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month:hover,\\n.flatpickr-months .flatpickr-next-month:hover {\\n  color: #959ea9;\\n}\\n.flatpickr-months .flatpickr-prev-month:hover svg,\\n.flatpickr-months .flatpickr-next-month:hover svg {\\n  fill: #f64747;\\n}\\n.flatpickr-months .flatpickr-prev-month svg,\\n.flatpickr-months .flatpickr-next-month svg {\\n  width: 14px;\\n  height: 14px;\\n}\\n.flatpickr-months .flatpickr-prev-month svg path,\\n.flatpickr-months .flatpickr-next-month svg path {\\n  -webkit-transition: fill 0.1s;\\n  transition: fill 0.1s;\\n  fill: inherit;\\n}\\n.numInputWrapper {\\n  position: relative;\\n  height: auto;\\n}\\n.numInputWrapper input,\\n.numInputWrapper span {\\n  display: inline-block;\\n}\\n.numInputWrapper input {\\n  width: 100%;\\n}\\n.numInputWrapper input::-ms-clear {\\n  display: none;\\n}\\n.numInputWrapper input::-webkit-outer-spin-button,\\n.numInputWrapper input::-webkit-inner-spin-button {\\n  margin: 0;\\n  -webkit-appearance: none;\\n}\\n.numInputWrapper span {\\n  position: absolute;\\n  right: 0;\\n  width: 14px;\\n  padding: 0 4px 0 2px;\\n  height: 50%;\\n  line-height: 50%;\\n  opacity: 0;\\n  cursor: pointer;\\n  border: 1px solid rgba(57, 57, 57, 0.15);\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.numInputWrapper span:hover {\\n  background: rgba(0, 0, 0, 0.1);\\n}\\n.numInputWrapper span:active {\\n  background: rgba(0, 0, 0, 0.2);\\n}\\n.numInputWrapper span:after {\\n  display: block;\\n  content: \"\";\\n  position: absolute;\\n}\\n.numInputWrapper span.arrowUp {\\n  top: 0;\\n  border-bottom: 0;\\n}\\n.numInputWrapper span.arrowUp:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-bottom: 4px solid rgba(57, 57, 57, 0.6);\\n  top: 26%;\\n}\\n.numInputWrapper span.arrowDown {\\n  top: 50%;\\n}\\n.numInputWrapper span.arrowDown:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-top: 4px solid rgba(57, 57, 57, 0.6);\\n  top: 40%;\\n}\\n.numInputWrapper span svg {\\n  width: inherit;\\n  height: auto;\\n}\\n.numInputWrapper span svg path {\\n  fill: rgba(0, 0, 0, 0.5);\\n}\\n.numInputWrapper:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.numInputWrapper:hover span {\\n  opacity: 1;\\n}\\n.flatpickr-current-month {\\n  font-size: 135%;\\n  line-height: inherit;\\n  font-weight: 300;\\n  color: inherit;\\n  position: absolute;\\n  width: 75%;\\n  left: 12.5%;\\n  padding: 7.48px 0 0 0;\\n  line-height: 1;\\n  height: 34px;\\n  display: inline-block;\\n  text-align: center;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n}\\n.flatpickr-current-month span.cur-month {\\n  font-family: inherit;\\n  font-weight: 700;\\n  color: inherit;\\n  display: inline-block;\\n  margin-left: 0.5ch;\\n  padding: 0;\\n}\\n.flatpickr-current-month span.cur-month:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .numInputWrapper {\\n  width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(0, 0, 0, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: transparent;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: transparent;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: transparent;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: transparent;\\n  color: rgba(0, 0, 0, 0.54);\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #e6e6e6;\\n  box-shadow: -1px 0 0 #e6e6e6;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #393939;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e6e6e6;\\n  border-color: #e6e6e6;\\n}\\n.flatpickr-day.today {\\n  border-color: #959ea9;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #959ea9;\\n  background: #959ea9;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #569ff7;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #569ff7;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #569ff7;\\n  box-shadow: -10px 0 0 #569ff7;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(57, 57, 57, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n  box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  -webkit-box-shadow: 1px 0 0 #e6e6e6;\\n  box-shadow: 1px 0 0 #e6e6e6;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #393939;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #393939;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #393939;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #393939;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eee;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n.flatpickr-calendar {\\n  background: transparent;\\n  opacity: 0;\\n  display: none;\\n  text-align: center;\\n  visibility: hidden;\\n  padding: 0;\\n  -webkit-animation: none;\\n  animation: none;\\n  direction: ltr;\\n  border: 0;\\n  font-size: 14px;\\n  line-height: 24px;\\n  border-radius: 5px;\\n  position: absolute;\\n  width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -ms-touch-action: manipulation;\\n  touch-action: manipulation;\\n  -webkit-box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n  box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n}\\n.flatpickr-calendar.open,\\n.flatpickr-calendar.inline {\\n  opacity: 1;\\n  max-height: 640px;\\n  visibility: visible;\\n}\\n.flatpickr-calendar.open {\\n  display: inline-block;\\n  z-index: 99999;\\n}\\n.flatpickr-calendar.animate.open {\\n  -webkit-animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n  animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n}\\n.flatpickr-calendar.inline {\\n  display: block;\\n  position: relative;\\n  top: 2px;\\n}\\n.flatpickr-calendar.static {\\n  position: absolute;\\n  top: calc(100% + 2px);\\n}\\n.flatpickr-calendar.static.open {\\n  z-index: 999;\\n  display: block;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+1) .flatpickr-day.inRange:nth-child(7n+7) {\\n  -webkit-box-shadow: none !important;\\n  box-shadow: none !important;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+2) .flatpickr-day.inRange:nth-child(7n+1) {\\n  -webkit-box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer,\\n.flatpickr-calendar .hasTime .dayContainer {\\n  border-bottom: 0;\\n  border-bottom-right-radius: 0;\\n  border-bottom-left-radius: 0;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer {\\n  border-left: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  height: 40px;\\n  border-top: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-innerContainer {\\n  border-bottom: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  border: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.noCalendar.hasTime .flatpickr-time {\\n  height: auto;\\n}\\n.flatpickr-calendar:before,\\n.flatpickr-calendar:after {\\n  position: absolute;\\n  display: block;\\n  pointer-events: none;\\n  border: solid transparent;\\n  content: \\'\\';\\n  height: 0;\\n  width: 0;\\n  left: 22px;\\n}\\n.flatpickr-calendar.rightMost:before,\\n.flatpickr-calendar.rightMost:after {\\n  left: auto;\\n  right: 22px;\\n}\\n.flatpickr-calendar:before {\\n  border-width: 5px;\\n  margin: 0 -5px;\\n}\\n.flatpickr-calendar:after {\\n  border-width: 4px;\\n  margin: 0 -4px;\\n}\\n.flatpickr-calendar.arrowTop:before,\\n.flatpickr-calendar.arrowTop:after {\\n  bottom: 100%;\\n}\\n.flatpickr-calendar.arrowTop:before {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowTop:after {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:before,\\n.flatpickr-calendar.arrowBottom:after {\\n  top: 100%;\\n}\\n.flatpickr-calendar.arrowBottom:before {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:after {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar:focus {\\n  outline: 0;\\n}\\n.flatpickr-wrapper {\\n  position: relative;\\n  display: inline-block;\\n}\\n.flatpickr-months {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-months .flatpickr-month {\\n  border-radius: 5px 5px 0 0;\\n  background: #eceef1;\\n  color: #5a6171;\\n  fill: #5a6171;\\n  height: 34px;\\n  line-height: 1;\\n  text-align: center;\\n  position: relative;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  overflow: hidden;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\n.flatpickr-months .flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month {\\n  text-decoration: none;\\n  cursor: pointer;\\n  position: absolute;\\n  top: 0;\\n  height: 34px;\\n  padding: 10px;\\n  z-index: 3;\\n  color: #5a6171;\\n  fill: #5a6171;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-disabled,\\n.flatpickr-months .flatpickr-next-month.flatpickr-disabled {\\n  display: none;\\n}\\n.flatpickr-months .flatpickr-prev-month i,\\n.flatpickr-months .flatpickr-next-month i {\\n  position: relative;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-prev-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  left: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month.flatpickr-next-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-next-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  right: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month:hover,\\n.flatpickr-months .flatpickr-next-month:hover {\\n  color: #bbb;\\n}\\n.flatpickr-months .flatpickr-prev-month:hover svg,\\n.flatpickr-months .flatpickr-next-month:hover svg {\\n  fill: #f64747;\\n}\\n.flatpickr-months .flatpickr-prev-month svg,\\n.flatpickr-months .flatpickr-next-month svg {\\n  width: 14px;\\n  height: 14px;\\n}\\n.flatpickr-months .flatpickr-prev-month svg path,\\n.flatpickr-months .flatpickr-next-month svg path {\\n  -webkit-transition: fill 0.1s;\\n  transition: fill 0.1s;\\n  fill: inherit;\\n}\\n.numInputWrapper {\\n  position: relative;\\n  height: auto;\\n}\\n.numInputWrapper input,\\n.numInputWrapper span {\\n  display: inline-block;\\n}\\n.numInputWrapper input {\\n  width: 100%;\\n}\\n.numInputWrapper input::-ms-clear {\\n  display: none;\\n}\\n.numInputWrapper input::-webkit-outer-spin-button,\\n.numInputWrapper input::-webkit-inner-spin-button {\\n  margin: 0;\\n  -webkit-appearance: none;\\n}\\n.numInputWrapper span {\\n  position: absolute;\\n  right: 0;\\n  width: 14px;\\n  padding: 0 4px 0 2px;\\n  height: 50%;\\n  line-height: 50%;\\n  opacity: 0;\\n  cursor: pointer;\\n  border: 1px solid rgba(72, 72, 72, 0.15);\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.numInputWrapper span:hover {\\n  background: rgba(0, 0, 0, 0.1);\\n}\\n.numInputWrapper span:active {\\n  background: rgba(0, 0, 0, 0.2);\\n}\\n.numInputWrapper span:after {\\n  display: block;\\n  content: \"\";\\n  position: absolute;\\n}\\n.numInputWrapper span.arrowUp {\\n  top: 0;\\n  border-bottom: 0;\\n}\\n.numInputWrapper span.arrowUp:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-bottom: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 26%;\\n}\\n.numInputWrapper span.arrowDown {\\n  top: 50%;\\n}\\n.numInputWrapper span.arrowDown:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-top: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 40%;\\n}\\n.numInputWrapper span svg {\\n  width: inherit;\\n  height: auto;\\n}\\n.numInputWrapper span svg path {\\n  fill: rgba(90, 97, 113, 0.5);\\n}\\n.numInputWrapper:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.numInputWrapper:hover span {\\n  opacity: 1;\\n}\\n.flatpickr-current-month {\\n  font-size: 135%;\\n  line-height: inherit;\\n  font-weight: 300;\\n  color: inherit;\\n  position: absolute;\\n  width: 75%;\\n  left: 12.5%;\\n  padding: 7.48px 0 0 0;\\n  line-height: 1;\\n  height: 34px;\\n  display: inline-block;\\n  text-align: center;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n}\\n.flatpickr-current-month span.cur-month {\\n  font-family: inherit;\\n  font-weight: 700;\\n  color: inherit;\\n  display: inline-block;\\n  margin-left: 0.5ch;\\n  padding: 0;\\n}\\n.flatpickr-current-month span.cur-month:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .numInputWrapper {\\n  width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #5a6171;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: #5a6171;\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(90, 97, 113, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: #eceef1;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: #eceef1;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: #eceef1;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: #eceef1;\\n  color: #5a6171;\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n  border-left: 1px solid #eceef1;\\n  border-right: 1px solid #eceef1;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #eceef1;\\n  box-shadow: -1px 0 0 #eceef1;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #484848;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e2e2e2;\\n  border-color: #e2e2e2;\\n}\\n.flatpickr-day.today {\\n  border-color: #bbb;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #bbb;\\n  background: #bbb;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #ff5a5f;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #ff5a5f;\\n  box-shadow: -10px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n  box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(72, 72, 72, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n  box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  border-left: 1px solid #eceef1;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  background: #fff;\\n  border-bottom: 1px solid #eceef1;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  background: #fff;\\n  border-radius: 0 0 5px 5px;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #484848;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #484848;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #484848;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #484848;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eaeaea;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\nspan.flatpickr-day.selected {\\n  font-weight: bold;\\n}\\n'},\n",
+       "      410: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(1).__importDefault(e(159)),r=e(411);class n extends r.AbstractRangeSliderView{}a.DateRangeSliderView=n,n.__name__=\"DateRangeSliderView\";class d extends r.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_DateRangeSlider(){this.prototype.default_view=n,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return i.default(e,t)}}a.DateRangeSlider=d,d.__name__=\"DateRangeSlider\",d.init_DateRangeSlider()},\n",
+       "      411: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=i.__importStar(e(412)),r=i.__importStar(e(18)),o=e(68),n=e(9),a=e(393),d=e(413),h=e(400),_=i.__importDefault(e(414)),c=i.__importDefault(e(415));class u extends a.ControlView{*controls(){yield this.slider_el}get noUiSlider(){return this.slider_el.noUiSlider}connect_signals(){super.connect_signals();const{direction:e,orientation:t,tooltips:s}=this.model.properties;this.on_change([e,t,s],()=>this.render());const{start:i,end:l,value:r,step:o,title:n}=this.model.properties;this.on_change([i,l,r,o],()=>{const{start:e,end:t,value:s,step:i}=this._calc_to();this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i})});const{bar_color:a}=this.model.properties;this.on_change(a,()=>{this._set_bar_color()});const{show_value:d}=this.model.properties;this.on_change([r,n,d],()=>this._update_title())}styles(){return[...super.styles(),_.default,c.default]}_update_title(){o.empty(this.title_el);const e=null==this.model.title||0==this.model.title.length&&!this.model.show_value;if(this.title_el.style.display=e?\"none\":\"\",!e&&(0!=this.model.title.length&&(this.title_el.textContent=this.model.title+\": \"),this.model.show_value)){const{value:e}=this._calc_to(),t=e.map(e=>this.model.pretty(e)).join(\" .. \");this.title_el.appendChild(o.span({class:d.bk_slider_value},t))}}_set_bar_color(){if(!this.model.disabled){this.slider_el.querySelector(\".noUi-connect\").style.backgroundColor=this.model.bar_color}}_keypress_handle(e,t=0){const{start:s,value:i,end:l,step:r}=this._calc_to(),o=2==i.length;let n=s,a=l;switch(o&&0==t?a=i[1]:o&&1==t&&(n=i[0]),e.which){case 37:i[t]=Math.max(i[t]-r,n);break;case 39:i[t]=Math.min(i[t]+r,a);break;default:return}this.model.value=o?i:i[0],this.model.properties.value.change.emit(),this.model.value_throttled=this.model.value,this.noUiSlider.set(i)}render(){super.render();const{start:e,end:t,value:s,step:i}=this._calc_to();let r;if(this.model.tooltips){const e={to:e=>this.model.pretty(e)};r=n.repeat(e,s.length)}else r=!1;if(null==this.slider_el){this.slider_el=o.div(),l.create(this.slider_el,{range:{min:e,max:t},start:s,step:i,behaviour:this.model.behaviour,connect:this.model.connected,tooltips:r,orientation:this.model.orientation,direction:this.model.direction}),this.noUiSlider.on(\"slide\",(e,t,s)=>this._slide(s)),this.noUiSlider.on(\"change\",(e,t,s)=>this._change(s)),this._set_keypress_handles();const n=(e,t)=>{if(!r)return;this.slider_el.querySelectorAll(\".noUi-handle\")[e].querySelector(\".noUi-tooltip\").style.display=t?\"block\":\"\"};this.noUiSlider.on(\"start\",(e,t)=>n(t,!0)),this.noUiSlider.on(\"end\",(e,t)=>n(t,!1))}else this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i});this._set_bar_color(),this.model.disabled?this.slider_el.setAttribute(\"disabled\",\"true\"):this.slider_el.removeAttribute(\"disabled\"),this.title_el=o.div({class:d.bk_slider_title}),this._update_title(),this.group_el=o.div({class:h.bk_input_group},this.title_el,this.slider_el),this.el.appendChild(this.group_el)}_slide(e){this.model.value=this._calc_from(e)}_change(e){this.model.value=this._calc_from(e),this.model.value_throttled=this.model.value}}u.__name__=\"AbstractBaseSliderView\";class m extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:[this.model.value],step:this.model.step}}_calc_from([e]){return Number.isInteger(this.model.start)&&Number.isInteger(this.model.end)&&Number.isInteger(this.model.step)?Math.round(e):e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e))}}s.AbstractSliderView=m,m.__name__=\"AbstractSliderView\";class p extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:this.model.value,step:this.model.step}}_calc_from(e){return e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle-lower\"),t=this.slider_el.querySelector(\".noUi-handle-upper\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e,0)),t.setAttribute(\"tabindex\",\"1\"),t.addEventListener(\"keydown\",e=>this._keypress_handle(e,1))}}s.AbstractRangeSliderView=p,p.__name__=\"AbstractRangeSliderView\";class b extends a.Control{constructor(e){super(e),this.connected=!1}static init_AbstractSlider(){this.define({title:[r.String,\"\"],show_value:[r.Boolean,!0],start:[r.Any],end:[r.Any],value:[r.Any],value_throttled:[r.Any],step:[r.Number,1],format:[r.Any],direction:[r.Any,\"ltr\"],tooltips:[r.Boolean,!0],bar_color:[r.Color,\"#e6e6e6\"]})}_formatter(e,t){return\"\"+e}pretty(e){return this._formatter(e,this.format)}}s.AbstractSlider=b,b.__name__=\"AbstractSlider\",b.init_AbstractSlider()},\n",
+       "      412: function _(t,e,r){\n",
+       "      /*! nouislider - 14.5.0 - 5/11/2020 */\n",
+       "      var n;n=function(){\"use strict\";var t=\"14.5.0\";function e(t){t.parentElement.removeChild(t)}function r(t){return null!=t}function n(t){t.preventDefault()}function i(t){return\"number\"==typeof t&&!isNaN(t)&&isFinite(t)}function o(t,e,r){r>0&&(u(t,e),setTimeout((function(){c(t,e)}),r))}function s(t){return Math.max(Math.min(t,100),0)}function a(t){return Array.isArray(t)?t:[t]}function l(t){var e=(t=String(t)).split(\".\");return e.length>1?e[1].length:0}function u(t,e){t.classList&&!/\\s/.test(e)?t.classList.add(e):t.className+=\" \"+e}function c(t,e){t.classList&&!/\\s/.test(e)?t.classList.remove(e):t.className=t.className.replace(new RegExp(\"(^|\\\\b)\"+e.split(\" \").join(\"|\")+\"(\\\\b|$)\",\"gi\"),\" \")}function p(t){var e=void 0!==window.pageXOffset,r=\"CSS1Compat\"===(t.compatMode||\"\");return{x:e?window.pageXOffset:r?t.documentElement.scrollLeft:t.body.scrollLeft,y:e?window.pageYOffset:r?t.documentElement.scrollTop:t.body.scrollTop}}function f(t,e){return 100/(e-t)}function d(t,e,r){return 100*e/(t[r+1]-t[r])}function h(t,e){for(var r=1;t>=e[r];)r+=1;return r}function m(t,e,r){if(r>=t.slice(-1)[0])return 100;var n=h(r,t),i=t[n-1],o=t[n],s=e[n-1],a=e[n];return s+function(t,e){return d(t,t[0]<0?e+Math.abs(t[0]):e-t[0],0)}([i,o],r)/f(s,a)}function g(t,e,r,n){if(100===n)return n;var i=h(n,t),o=t[i-1],s=t[i];return r?n-o>(s-o)/2?s:o:e[i-1]?t[i-1]+function(t,e){return Math.round(t/e)*e}(n-t[i-1],e[i-1]):n}function v(t,e,r){var n;if(\"number\"==typeof e&&(e=[e]),!Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'range' contains invalid value.\");if(!i(n=\"min\"===t?0:\"max\"===t?100:parseFloat(t))||!i(e[0]))throw new Error(\"noUiSlider (14.5.0): 'range' value isn't numeric.\");r.xPct.push(n),r.xVal.push(e[0]),n?r.xSteps.push(!isNaN(e[1])&&e[1]):isNaN(e[1])||(r.xSteps[0]=e[1]),r.xHighestCompleteStep.push(0)}function x(t,e,r){if(e)if(r.xVal[t]!==r.xVal[t+1]){r.xSteps[t]=d([r.xVal[t],r.xVal[t+1]],e,0)/f(r.xPct[t],r.xPct[t+1]);var n=(r.xVal[t+1]-r.xVal[t])/r.xNumSteps[t],i=Math.ceil(Number(n.toFixed(3))-1),o=r.xVal[t]+r.xNumSteps[t]*i;r.xHighestCompleteStep[t]=o}else r.xSteps[t]=r.xHighestCompleteStep[t]=r.xVal[t]}function b(t,e,r){var n;this.xPct=[],this.xVal=[],this.xSteps=[r||!1],this.xNumSteps=[!1],this.xHighestCompleteStep=[],this.snap=e;var i=[];for(n in t)t.hasOwnProperty(n)&&i.push([t[n],n]);for(i.length&&\"object\"==typeof i[0][0]?i.sort((function(t,e){return t[0][0]-e[0][0]})):i.sort((function(t,e){return t[0]-e[0]})),n=0;n<i.length;n++)v(i[n][1],i[n][0],this);for(this.xNumSteps=this.xSteps.slice(0),n=0;n<this.xNumSteps.length;n++)x(n,this.xNumSteps[n],this)}b.prototype.getDistance=function(t){var e,r=[];for(e=0;e<this.xNumSteps.length-1;e++){var n=this.xNumSteps[e];if(n&&t/n%1!=0)throw new Error(\"noUiSlider (14.5.0): 'limit', 'margin' and 'padding' of \"+this.xPct[e]+\"% range must be divisible by step.\");r[e]=d(this.xVal,t,e)}return r},b.prototype.getAbsoluteDistance=function(t,e,r){var n,i=0;if(t<this.xPct[this.xPct.length-1])for(;t>this.xPct[i+1];)i++;else t===this.xPct[this.xPct.length-1]&&(i=this.xPct.length-2);r||t!==this.xPct[i+1]||i++;var o=1,s=e[i],a=0,l=0,u=0,c=0;for(n=r?(t-this.xPct[i])/(this.xPct[i+1]-this.xPct[i]):(this.xPct[i+1]-t)/(this.xPct[i+1]-this.xPct[i]);s>0;)a=this.xPct[i+1+c]-this.xPct[i+c],e[i+c]*o+100-100*n>100?(l=a*n,o=(s-100*n)/e[i+c],n=1):(l=e[i+c]*a/100*o,o=0),r?(u-=l,this.xPct.length+c>=1&&c--):(u+=l,this.xPct.length-c>=1&&c++),s=e[i+c]*o;return t+u},b.prototype.toStepping=function(t){return t=m(this.xVal,this.xPct,t)},b.prototype.fromStepping=function(t){return function(t,e,r){if(r>=100)return t.slice(-1)[0];var n=h(r,e),i=t[n-1],o=t[n],s=e[n-1];return function(t,e){return e*(t[1]-t[0])/100+t[0]}([i,o],(r-s)*f(s,e[n]))}(this.xVal,this.xPct,t)},b.prototype.getStep=function(t){return t=g(this.xPct,this.xSteps,this.snap,t)},b.prototype.getDefaultStep=function(t,e,r){var n=h(t,this.xPct);return(100===t||e&&t===this.xPct[n-1])&&(n=Math.max(n-1,1)),(this.xVal[n]-this.xVal[n-1])/r},b.prototype.getNearbySteps=function(t){var e=h(t,this.xPct);return{stepBefore:{startValue:this.xVal[e-2],step:this.xNumSteps[e-2],highestStep:this.xHighestCompleteStep[e-2]},thisStep:{startValue:this.xVal[e-1],step:this.xNumSteps[e-1],highestStep:this.xHighestCompleteStep[e-1]},stepAfter:{startValue:this.xVal[e],step:this.xNumSteps[e],highestStep:this.xHighestCompleteStep[e]}}},b.prototype.countStepDecimals=function(){var t=this.xNumSteps.map(l);return Math.max.apply(null,t)},b.prototype.convert=function(t){return this.getStep(this.toStepping(t))};var S={to:function(t){return void 0!==t&&t.toFixed(2)},from:Number},w={target:\"target\",base:\"base\",origin:\"origin\",handle:\"handle\",handleLower:\"handle-lower\",handleUpper:\"handle-upper\",touchArea:\"touch-area\",horizontal:\"horizontal\",vertical:\"vertical\",background:\"background\",connect:\"connect\",connects:\"connects\",ltr:\"ltr\",rtl:\"rtl\",textDirectionLtr:\"txt-dir-ltr\",textDirectionRtl:\"txt-dir-rtl\",draggable:\"draggable\",drag:\"state-drag\",tap:\"state-tap\",active:\"active\",tooltip:\"tooltip\",pips:\"pips\",pipsHorizontal:\"pips-horizontal\",pipsVertical:\"pips-vertical\",marker:\"marker\",markerHorizontal:\"marker-horizontal\",markerVertical:\"marker-vertical\",markerNormal:\"marker-normal\",markerLarge:\"marker-large\",markerSub:\"marker-sub\",value:\"value\",valueHorizontal:\"value-horizontal\",valueVertical:\"value-vertical\",valueNormal:\"value-normal\",valueLarge:\"value-large\",valueSub:\"value-sub\"};function y(t){if(function(t){return\"object\"==typeof t&&\"function\"==typeof t.to&&\"function\"==typeof t.from}(t))return!0;throw new Error(\"noUiSlider (14.5.0): 'format' requires 'to' and 'from' methods.\")}function E(t,e){if(!i(e))throw new Error(\"noUiSlider (14.5.0): 'step' is not numeric.\");t.singleStep=e}function C(t,e){if(\"object\"!=typeof e||Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'range' is not an object.\");if(void 0===e.min||void 0===e.max)throw new Error(\"noUiSlider (14.5.0): Missing 'min' or 'max' in 'range'.\");if(e.min===e.max)throw new Error(\"noUiSlider (14.5.0): 'range' 'min' and 'max' cannot be equal.\");t.spectrum=new b(e,t.snap,t.singleStep)}function N(t,e){if(e=a(e),!Array.isArray(e)||!e.length)throw new Error(\"noUiSlider (14.5.0): 'start' option is incorrect.\");t.handles=e.length,t.start=e}function P(t,e){if(t.snap=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'snap' option must be a boolean.\")}function U(t,e){if(t.animate=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'animate' option must be a boolean.\")}function A(t,e){if(t.animationDuration=e,\"number\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'animationDuration' option must be a number.\")}function V(t,e){var r,n=[!1];if(\"lower\"===e?e=[!0,!1]:\"upper\"===e&&(e=[!1,!0]),!0===e||!1===e){for(r=1;r<t.handles;r++)n.push(e);n.push(!1)}else{if(!Array.isArray(e)||!e.length||e.length!==t.handles+1)throw new Error(\"noUiSlider (14.5.0): 'connect' option doesn't match handle count.\");n=e}t.connect=n}function k(t,e){switch(e){case\"horizontal\":t.ort=0;break;case\"vertical\":t.ort=1;break;default:throw new Error(\"noUiSlider (14.5.0): 'orientation' option is invalid.\")}}function D(t,e){if(!i(e))throw new Error(\"noUiSlider (14.5.0): 'margin' option must be numeric.\");0!==e&&(t.margin=t.spectrum.getDistance(e))}function M(t,e){if(!i(e))throw new Error(\"noUiSlider (14.5.0): 'limit' option must be numeric.\");if(t.limit=t.spectrum.getDistance(e),!t.limit||t.handles<2)throw new Error(\"noUiSlider (14.5.0): 'limit' option is only supported on linear sliders with 2 or more handles.\")}function O(t,e){var r;if(!i(e)&&!Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'padding' option must be numeric or array of exactly 2 numbers.\");if(Array.isArray(e)&&2!==e.length&&!i(e[0])&&!i(e[1]))throw new Error(\"noUiSlider (14.5.0): 'padding' option must be numeric or array of exactly 2 numbers.\");if(0!==e){for(Array.isArray(e)||(e=[e,e]),t.padding=[t.spectrum.getDistance(e[0]),t.spectrum.getDistance(e[1])],r=0;r<t.spectrum.xNumSteps.length-1;r++)if(t.padding[0][r]<0||t.padding[1][r]<0)throw new Error(\"noUiSlider (14.5.0): 'padding' option must be a positive number(s).\");var n=e[0]+e[1],o=t.spectrum.xVal[0];if(n/(t.spectrum.xVal[t.spectrum.xVal.length-1]-o)>1)throw new Error(\"noUiSlider (14.5.0): 'padding' option must not exceed 100% of the range.\")}}function L(t,e){switch(e){case\"ltr\":t.dir=0;break;case\"rtl\":t.dir=1;break;default:throw new Error(\"noUiSlider (14.5.0): 'direction' 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t.to))throw new Error(\"noUiSlider (14.5.0): 'tooltips' must be passed a formatter or 'false'.\")}))}}function j(t,e){t.ariaFormat=e,y(e)}function F(t,e){t.format=e,y(e)}function R(t,e){if(t.keyboardSupport=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'keyboardSupport' option must be a boolean.\")}function T(t,e){t.documentElement=e}function B(t,e){if(\"string\"!=typeof e&&!1!==e)throw new Error(\"noUiSlider (14.5.0): 'cssPrefix' must be a string or `false`.\");t.cssPrefix=e}function q(t,e){if(\"object\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'cssClasses' must be an object.\");if(\"string\"==typeof t.cssPrefix)for(var r in t.cssClasses={},e)e.hasOwnProperty(r)&&(t.cssClasses[r]=t.cssPrefix+e[r]);else t.cssClasses=e}function X(t){var 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+       "      414: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default=\"\\n.bk-root {\\n  /*! nouislider - 14.5.0 - 5/11/2020 */\\n  /* Functional styling;\\n * These styles are required for noUiSlider to function.\\n * You don't need to change these rules to apply your design.\\n */\\n  /* Wrapper for all connect elements.\\n */\\n  /* Offset direction\\n */\\n  /* Give origins 0 height/width so they don't interfere with clicking the\\n * connect elements.\\n */\\n  /* Slider size and handle placement;\\n */\\n  /* Styling;\\n * Giving the connect element a border radius causes issues with using transform: scale\\n */\\n  /* Handles and cursors;\\n */\\n  /* Handle stripes;\\n */\\n  /* Disabled state;\\n */\\n  /* Base;\\n *\\n */\\n  /* Values;\\n *\\n */\\n  /* Markings;\\n *\\n */\\n  /* Horizontal layout;\\n *\\n */\\n  /* Vertical layout;\\n *\\n */\\n}\\n.bk-root .noUi-target,\\n.bk-root .noUi-target * {\\n  -webkit-touch-callout: none;\\n  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);\\n  -webkit-user-select: none;\\n  -ms-touch-action: none;\\n  touch-action: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  user-select: none;\\n  -moz-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.bk-root .noUi-target {\\n  position: relative;\\n}\\n.bk-root .noUi-base,\\n.bk-root .noUi-connects {\\n  width: 100%;\\n  height: 100%;\\n  position: relative;\\n  z-index: 1;\\n}\\n.bk-root .noUi-connects {\\n  overflow: hidden;\\n  z-index: 0;\\n}\\n.bk-root .noUi-connect,\\n.bk-root .noUi-origin {\\n  will-change: transform;\\n  position: absolute;\\n  z-index: 1;\\n  top: 0;\\n  right: 0;\\n  -ms-transform-origin: 0 0;\\n  -webkit-transform-origin: 0 0;\\n  -webkit-transform-style: preserve-3d;\\n  transform-origin: 0 0;\\n  transform-style: flat;\\n}\\n.bk-root .noUi-connect {\\n  height: 100%;\\n  width: 100%;\\n}\\n.bk-root .noUi-origin {\\n  height: 10%;\\n  width: 10%;\\n}\\n.bk-root .noUi-txt-dir-rtl.noUi-horizontal .noUi-origin {\\n  left: 0;\\n  right: auto;\\n}\\n.bk-root .noUi-vertical .noUi-origin {\\n  width: 0;\\n}\\n.bk-root .noUi-horizontal .noUi-origin {\\n  height: 0;\\n}\\n.bk-root .noUi-handle {\\n  -webkit-backface-visibility: hidden;\\n  backface-visibility: hidden;\\n  position: absolute;\\n}\\n.bk-root .noUi-touch-area {\\n  height: 100%;\\n  width: 100%;\\n}\\n.bk-root .noUi-state-tap .noUi-connect,\\n.bk-root .noUi-state-tap .noUi-origin {\\n  -webkit-transition: transform 0.3s;\\n  transition: transform 0.3s;\\n}\\n.bk-root .noUi-state-drag * {\\n  cursor: inherit !important;\\n}\\n.bk-root .noUi-horizontal {\\n  height: 18px;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n  width: 34px;\\n  height: 28px;\\n  right: -17px;\\n  top: -6px;\\n}\\n.bk-root .noUi-vertical {\\n  width: 18px;\\n}\\n.bk-root .noUi-vertical .noUi-handle {\\n  width: 28px;\\n  height: 34px;\\n  right: -6px;\\n  top: -17px;\\n}\\n.bk-root .noUi-txt-dir-rtl.noUi-horizontal .noUi-handle {\\n  left: -17px;\\n  right: auto;\\n}\\n.bk-root .noUi-target {\\n  background: #FAFAFA;\\n  border-radius: 4px;\\n  border: 1px solid #D3D3D3;\\n  box-shadow: inset 0 1px 1px #F0F0F0, 0 3px 6px -5px #BBB;\\n}\\n.bk-root .noUi-connects {\\n  border-radius: 3px;\\n}\\n.bk-root .noUi-connect {\\n  background: #3FB8AF;\\n}\\n.bk-root .noUi-draggable {\\n  cursor: ew-resize;\\n}\\n.bk-root .noUi-vertical .noUi-draggable {\\n  cursor: ns-resize;\\n}\\n.bk-root .noUi-handle {\\n  border: 1px solid #D9D9D9;\\n  border-radius: 3px;\\n  background: #FFF;\\n  cursor: default;\\n  box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #EBEBEB, 0 3px 6px -3px #BBB;\\n}\\n.bk-root .noUi-active {\\n  box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #DDD, 0 3px 6px -3px #BBB;\\n}\\n.bk-root .noUi-handle:before,\\n.bk-root .noUi-handle:after {\\n  content: \\\"\\\";\\n  display: block;\\n  position: absolute;\\n  height: 14px;\\n  width: 1px;\\n  background: #E8E7E6;\\n  left: 14px;\\n  top: 6px;\\n}\\n.bk-root .noUi-handle:after {\\n  left: 17px;\\n}\\n.bk-root .noUi-vertical .noUi-handle:before,\\n.bk-root .noUi-vertical .noUi-handle:after {\\n  width: 14px;\\n  height: 1px;\\n  left: 6px;\\n  top: 14px;\\n}\\n.bk-root .noUi-vertical .noUi-handle:after {\\n  top: 17px;\\n}\\n.bk-root [disabled] .noUi-connect {\\n  background: #B8B8B8;\\n}\\n.bk-root [disabled].noUi-target,\\n.bk-root [disabled].noUi-handle,\\n.bk-root [disabled] .noUi-handle {\\n  cursor: not-allowed;\\n}\\n.bk-root .noUi-pips,\\n.bk-root .noUi-pips * {\\n  -moz-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.bk-root .noUi-pips {\\n  position: absolute;\\n  color: #999;\\n}\\n.bk-root .noUi-value {\\n  position: absolute;\\n  white-space: nowrap;\\n  text-align: center;\\n}\\n.bk-root .noUi-value-sub {\\n  color: #ccc;\\n  font-size: 10px;\\n}\\n.bk-root .noUi-marker {\\n  position: absolute;\\n  background: #CCC;\\n}\\n.bk-root .noUi-marker-sub {\\n  background: #AAA;\\n}\\n.bk-root .noUi-marker-large {\\n  background: #AAA;\\n}\\n.bk-root .noUi-pips-horizontal {\\n  padding: 10px 0;\\n  height: 80px;\\n  top: 100%;\\n  left: 0;\\n  width: 100%;\\n}\\n.bk-root .noUi-value-horizontal {\\n  -webkit-transform: translate(-50%, 50%);\\n  transform: translate(-50%, 50%);\\n}\\n.bk-root .noUi-rtl .noUi-value-horizontal {\\n  -webkit-transform: translate(50%, 50%);\\n  transform: translate(50%, 50%);\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker {\\n  margin-left: -1px;\\n  width: 2px;\\n  height: 5px;\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker-sub {\\n  height: 10px;\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker-large {\\n  height: 15px;\\n}\\n.bk-root .noUi-pips-vertical {\\n  padding: 0 10px;\\n  height: 100%;\\n  top: 0;\\n  left: 100%;\\n}\\n.bk-root .noUi-value-vertical {\\n  -webkit-transform: translate(0, -50%);\\n  transform: translate(0, -50%);\\n  padding-left: 25px;\\n}\\n.bk-root .noUi-rtl .noUi-value-vertical {\\n  -webkit-transform: translate(0, 50%);\\n  transform: translate(0, 50%);\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker {\\n  width: 5px;\\n  height: 2px;\\n  margin-top: -1px;\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker-sub {\\n  width: 10px;\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker-large {\\n  width: 15px;\\n}\\n.bk-root .noUi-tooltip {\\n  display: block;\\n  position: absolute;\\n  border: 1px solid #D9D9D9;\\n  border-radius: 3px;\\n  background: #fff;\\n  color: #000;\\n  padding: 5px;\\n  text-align: center;\\n  white-space: nowrap;\\n}\\n.bk-root .noUi-horizontal .noUi-tooltip {\\n  -webkit-transform: translate(-50%, 0);\\n  transform: translate(-50%, 0);\\n  left: 50%;\\n  bottom: 120%;\\n}\\n.bk-root .noUi-vertical .noUi-tooltip {\\n  -webkit-transform: translate(0, -50%);\\n  transform: translate(0, -50%);\\n  top: 50%;\\n  right: 120%;\\n}\\n.bk-root .noUi-horizontal .noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(50%, 0);\\n  transform: translate(50%, 0);\\n  left: auto;\\n  bottom: 10px;\\n}\\n.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(0, -18px);\\n  transform: translate(0, -18px);\\n  top: auto;\\n  right: 28px;\\n}\\n.bk-root .noUi-handle {\\n  cursor: grab;\\n  cursor: -webkit-grab;\\n}\\n.bk-root .noUi-handle.noUi-active {\\n  cursor: grabbing;\\n  cursor: -webkit-grabbing;\\n}\\n.bk-root .noUi-handle:after,\\n.bk-root .noUi-handle:before {\\n  display: none;\\n}\\n.bk-root .noUi-tooltip {\\n  display: none;\\n  white-space: nowrap;\\n}\\n.bk-root .noUi-handle:hover .noUi-tooltip {\\n  display: block;\\n}\\n.bk-root .noUi-horizontal {\\n  width: 100%;\\n  height: 10px;\\n}\\n.bk-root .noUi-vertical {\\n  width: 10px;\\n  height: 100%;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n  width: 14px;\\n  height: 18px;\\n  right: -7px;\\n  top: -5px;\\n}\\n.bk-root .noUi-vertical .noUi-handle {\\n  width: 18px;\\n  height: 14px;\\n  right: -5px;\\n  top: -7px;\\n}\\n.bk-root .noUi-target.noUi-horizontal {\\n  margin: 5px 0px;\\n}\\n.bk-root .noUi-target.noUi-vertical {\\n  margin: 0px 5px;\\n}\\n\"},\n",
+       "      415: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default=\"\\n.bk-root .bk-slider-title {\\n  white-space: nowrap;\\n}\\n.bk-root .bk-slider-value {\\n  font-weight: 600;\\n}\\n\"},\n",
+       "      416: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1).__importDefault(e(159)),a=e(411);class d extends a.AbstractSliderView{}i.DateSliderView=d,d.__name__=\"DateSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_DateSlider(){this.prototype.default_view=d,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return r.default(e,t)}}i.DateSlider=s,s.__name__=\"DateSlider\",s.init_DateSlider()},\n",
+       "      417: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),_=e(418),n=r.__importStar(e(18));class s extends _.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.model.text}}i.DivView=s,s.__name__=\"DivView\";class a extends _.Markup{constructor(e){super(e)}static init_Div(){this.prototype.default_view=s,this.define({render_as_text:[n.Boolean,!1]})}}i.Div=a,a.__name__=\"Div\",a.init_Div()},\n",
+       "      418: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(193),n=e(68),l=i.__importStar(e(18)),r=e(458),_=e(419),c=i.__importDefault(e(420));class u extends r.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>{this.layout.invalidate_cache(),this.render(),this.root.compute_layout()})}styles(){return[...super.styles(),c.default]}_update_layout(){this.layout=new a.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=n.div({class:_.bk_clearfix,style:e}),this.el.appendChild(this.markup_el)}}s.MarkupView=u,u.__name__=\"MarkupView\";class o extends r.Widget{constructor(e){super(e)}static init_Markup(){this.define({text:[l.String,\"\"],style:[l.Any,{}]})}}s.Markup=o,o.__name__=\"Markup\",o.init_Markup()},\n",
+       "      419: function _(e,c,f){Object.defineProperty(f,\"__esModule\",{value:!0}),f.bk_clearfix=\"bk-clearfix\"},\n",
+       "      420: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-clearfix:before,\\n.bk-root .bk-clearfix:after {\\n  content: \"\";\\n  display: table;\\n}\\n.bk-root .bk-clearfix:after {\\n  clear: both;\\n}\\n'},\n",
+       "      421: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(392),o=e(291),_=e(68),d=n.__importStar(e(18)),l=e(8),r=e(146),u=e(254),c=e(255),h=n.__importDefault(e(257));class p extends s.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=_.div({class:[c.bk_caret,r.bk_down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(u.bk_dropdown_toggle),t.addEventListener(\"click\",()=>this._toggle_menu()),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map((e,t)=>{if(null==e)return _.div({class:c.bk_divider});{const i=l.isString(e)?e:e[0],n=_.div({},i);return n.addEventListener(\"click\",()=>this._item_click(t)),n}});this.menu=_.div({class:[c.bk_menu,r.bk_below]},t),this.el.appendChild(this.menu),_.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,_.display(this.menu);const e=t=>{const{target:i}=t;i instanceof HTMLElement&&!this.el.contains(i)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,_.undisplay(this.menu))}_toggle_menu(){this._open?this._hide_menu():this._show_menu()}click(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new o.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=l.isString(t)?t:t[1];l.isString(i)?this.model.trigger_event(new o.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=p,p.__name__=\"DropdownView\";class m extends s.AbstractButton{constructor(e){super(e)}static init_Dropdown(){this.prototype.default_view=p,this.define({split:[d.Boolean,!1],menu:[d.Array,[]]}),this.override({label:\"Dropdown\"})}get is_split(){return this.split}}i.Dropdown=m,m.__name__=\"Dropdown\",m.init_Dropdown()},\n",
+       "      422: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1).__importStar(e(18)),s=e(458);class n extends s.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.width.change,()=>this.render())}render(){null==this.dialogEl&&(this.dialogEl=document.createElement(\"input\"),this.dialogEl.type=\"file\",this.dialogEl.multiple=this.model.multiple,this.dialogEl.onchange=()=>{const{files:e}=this.dialogEl;null!=e&&this.load_files(e)},this.el.appendChild(this.dialogEl)),null!=this.model.accept&&\"\"!=this.model.accept&&(this.dialogEl.accept=this.model.accept),this.dialogEl.style.width=\"{this.model.width}px\",this.dialogEl.disabled=this.model.disabled}async load_files(e){const t=[],i=[],l=[];let s;for(s=0;s<e.length;s++){i.push(e[s].name);const n=await this.readfile(e[s]),[,o,,a]=n.split(/[:;,]/,4);t.push(a),l.push(o)}this.model.multiple?(this.model.filename=i,this.model.mime_type=l,this.model.value=t):(this.model.filename=i[0],this.model.mime_type=l[0],this.model.value=t[0])}readfile(e){return new Promise((t,i)=>{const l=new FileReader;l.onload=()=>{var s;const{result:n}=l;null!=n?t(n):i(null!==(s=l.error)&&void 0!==s?s:new Error(`unable to read '${e.name}'`))},l.readAsDataURL(e)})}}i.FileInputView=n,n.__name__=\"FileInputView\";class o extends s.Widget{constructor(e){super(e)}static init_FileInput(){this.prototype.default_view=n,this.define({value:[l.Any,\"\"],mime_type:[l.Any,\"\"],filename:[l.Any,\"\"],accept:[l.String,\"\"],multiple:[l.Boolean,!1]})}}i.FileInput=o,o.__name__=\"FileInput\",o.init_FileInput()},\n",
+       "      423: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(68),l=e(8),o=i.__importStar(e(18)),c=e(398),r=e(400);class h extends c.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render()),this.connect(this.model.properties.size.change,()=>this.render()),this.connect(this.model.properties.disabled.change,()=>this.render())}render(){super.render();const e=this.model.options.map(e=>{let t,s;return l.isString(e)?t=s=e:[t,s]=e,n.option({value:t},s)});this.select_el=n.select({multiple:!0,class:r.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.select_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.select_el),this.render_selection()}render_selection(){const e=new Set(this.model.value);for(const t of this.el.querySelectorAll(\"option\"))t.selected=e.has(t.value);this.select_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}s.MultiSelectView=h,h.__name__=\"MultiSelectView\";class d extends c.InputWidget{constructor(e){super(e)}static init_MultiSelect(){this.prototype.default_view=h,this.define({value:[o.Array,[]],options:[o.Array,[]],size:[o.Number,4]})}}s.MultiSelect=d,d.__name__=\"MultiSelect\",d.init_MultiSelect()},\n",
+       "      424: function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=a(418),p=a(68);class s extends t.MarkupView{render(){super.render();const a=p.p({style:{margin:0}},this.model.text);this.markup_el.appendChild(a)}}r.ParagraphView=s,s.__name__=\"ParagraphView\";class i extends t.Markup{constructor(a){super(a)}static init_Paragraph(){this.prototype.default_view=s}}r.Paragraph=i,i.__name__=\"Paragraph\",i.init_Paragraph()},\n",
+       "      425: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(397);class r extends n.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}s.PasswordInputView=r,r.__name__=\"PasswordInputView\";class p extends n.TextInput{constructor(e){super(e)}static init_PasswordInput(){this.prototype.default_view=r}}s.PasswordInput=p,p.__name__=\"PasswordInput\",p.init_PasswordInput()},\n",
+       "      426: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=s.__importDefault(e(427)),o=e(68),n=e(8),h=s.__importStar(e(18)),r=e(400),c=s.__importDefault(e(428)),d=e(398);class a extends d.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.disabled.change,()=>this.set_disabled()),this.connect(this.model.properties.max_items.change,()=>this.render()),this.connect(this.model.properties.option_limit.change,()=>this.render()),this.connect(this.model.properties.delete_button.change,()=>this.render()),this.connect(this.model.properties.placeholder.change,()=>this.render()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render())}styles(){return[...super.styles(),c.default]}render(){super.render();const e=this.model.options.map(e=>{let t,i;return n.isString(e)?t=i=e:[t,i]=e,o.option({value:t},i)});this.select_el=o.select({multiple:!0,class:r.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.group_el.appendChild(this.select_el),this.render_selection();let t=\"choices__item\",i=\"choices__button\";this.model.solid?(t+=\" solid\",i+=\" solid\"):(t+=\" light\",i+=\" light\");const s={removeItemButton:this.model.delete_button,classNames:{item:t,button:i}};null!==this.model.placeholder&&(s.placeholderValue=this.model.placeholder),null!==this.model.max_items&&(s.maxItemCount=this.model.max_items),null!==this.model.option_limit&&(s.renderChoiceLimit=this.model.option_limit),this.choice_el=new l.default(this.select_el,s),this.select_el.addEventListener(\"change\",()=>this.change_input())}render_selection(){const e=new Set(this.model.value);for(const t of Array.from(this.el.querySelectorAll(\"option\")))t.selected=e.has(t.value)}set_disabled(){this.model.disabled?this.choice_el.disable():this.choice_el.enable()}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of Array.from(this.el.querySelectorAll(\"option\")))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}i.MultiChoiceView=a,a.__name__=\"MultiChoiceView\";class u extends d.InputWidget{constructor(e){super(e)}static init_MultiChoice(){this.prototype.default_view=a,this.define({value:[h.Array,[]],options:[h.Array,[]],max_items:[h.Number,null],delete_button:[h.Boolean,!0],placeholder:[h.String,null],option_limit:[h.Number,null],solid:[h.Boolean,!0]})}}i.MultiChoice=u,u.__name__=\"MultiChoice\",u.init_MultiChoice()},\n",
+       "      427: function _(e,t,i){\n",
+       "      /*! choices.js v9.0.1 | © 2019 Josh Johnson | https://github.com/jshjohnson/Choices#readme */\n",
+       "      var n,s;n=window,s=function(){return function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"/public/assets/scripts/\",i(i.s=4)}([function(e,t,i){\"use strict\";var n=function(e){return function(e){return!!e&&\"object\"==typeof e}(e)&&!function(e){var t=Object.prototype.toString.call(e);return\"[object RegExp]\"===t||\"[object Date]\"===t||function(e){return e.$$typeof===s}(e)}(e)},s=\"function\"==typeof Symbol&&Symbol.for?Symbol.for(\"react.element\"):60103;function r(e,t){return!1!==t.clone&&t.isMergeableObject(e)?l((i=e,Array.isArray(i)?[]:{}),e,t):e;var i}function o(e,t,i){return e.concat(t).map((function(e){return r(e,i)}))}function a(e){return Object.keys(e).concat(function(e){return Object.getOwnPropertySymbols?Object.getOwnPropertySymbols(e).filter((function(t){return e.propertyIsEnumerable(t)})):[]}(e))}function c(e,t,i){var n={};return i.isMergeableObject(e)&&a(e).forEach((function(t){n[t]=r(e[t],i)})),a(t).forEach((function(s){(function(e,t){try{return t in e&&!(Object.hasOwnProperty.call(e,t)&&Object.propertyIsEnumerable.call(e,t))}catch(e){return!1}})(e,s)||(i.isMergeableObject(t[s])&&e[s]?n[s]=function(e,t){if(!t.customMerge)return l;var i=t.customMerge(e);return\"function\"==typeof i?i:l}(s,i)(e[s],t[s],i):n[s]=r(t[s],i))})),n}function l(e,t,i){(i=i||{}).arrayMerge=i.arrayMerge||o,i.isMergeableObject=i.isMergeableObject||n,i.cloneUnlessOtherwiseSpecified=r;var s=Array.isArray(t);return s===Array.isArray(e)?s?i.arrayMerge(e,t,i):c(e,t,i):r(t,i)}l.all=function(e,t){if(!Array.isArray(e))throw new Error(\"first argument should be an array\");return e.reduce((function(e,i){return l(e,i,t)}),{})};var h=l;e.exports=h},function(e,t,i){\"use strict\";(function(e,n){var s,r=i(3);s=\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:void 0!==e?e:n;var o=Object(r.a)(s);t.a=o}).call(this,i(5),i(6)(e))},function(e,t,i){\n",
+       "      /*!\n",
+       "                       * Fuse.js v3.4.5 - Lightweight fuzzy-search (http://fusejs.io)\n",
+       "                       *\n",
+       "                       * Copyright (c) 2012-2017 Kirollos Risk (http://kiro.me)\n",
+       "                       * All Rights Reserved. Apache Software License 2.0\n",
+       "                       *\n",
+       "                       * http://www.apache.org/licenses/LICENSE-2.0\n",
+       "                       */\n",
+       "      e.exports=function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return 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a.dataset.type=r,t&&(a.dir=t),n&&(a.tabIndex=0),i&&(a.setAttribute(\"role\",s?\"combobox\":\"listbox\"),s&&a.setAttribute(\"aria-autocomplete\",\"list\")),a.setAttribute(\"aria-haspopup\",\"true\"),a.setAttribute(\"aria-expanded\",\"false\"),a},containerInner:function(e){var t=e.containerInner;return Object.assign(document.createElement(\"div\"),{className:t})},itemList:function(e,t){var i=e.list,n=e.listSingle,s=e.listItems;return Object.assign(document.createElement(\"div\"),{className:i+\" \"+(t?n:s)})},placeholder:function(e,t){var i=e.placeholder;return Object.assign(document.createElement(\"div\"),{className:i,innerHTML:t})},item:function(e,t,i){var n=e.item,s=e.button,r=e.highlightedState,o=e.itemSelectable,a=e.placeholder,c=t.id,l=t.value,h=t.label,u=t.customProperties,d=t.active,p=t.disabled,m=t.highlighted,f=t.placeholder,v=Object.assign(document.createElement(\"div\"),{className:n,innerHTML:h});if(Object.assign(v.dataset,{item:\"\",id:c,value:l,customProperties:u}),d&&v.setAttribute(\"aria-selected\",\"true\"),p&&v.setAttribute(\"aria-disabled\",\"true\"),f&&v.classList.add(a),v.classList.add(m?r:o),i){p&&v.classList.remove(o),v.dataset.deletable=\"\";var g=Object.assign(document.createElement(\"button\"),{type:\"button\",className:s,innerHTML:\"Remove item\"});g.setAttribute(\"aria-label\",\"Remove item: '\"+l+\"'\"),g.dataset.button=\"\",v.appendChild(g)}return v},choiceList:function(e,t){var i=e.list,n=Object.assign(document.createElement(\"div\"),{className:i});return t||n.setAttribute(\"aria-multiselectable\",\"true\"),n.setAttribute(\"role\",\"listbox\"),n},choiceGroup:function(e,t){var i=e.group,n=e.groupHeading,s=e.itemDisabled,r=t.id,o=t.value,a=t.disabled,c=Object.assign(document.createElement(\"div\"),{className:i+\" \"+(a?s:\"\")});return c.setAttribute(\"role\",\"group\"),Object.assign(c.dataset,{group:\"\",id:r,value:o}),a&&c.setAttribute(\"aria-disabled\",\"true\"),c.appendChild(Object.assign(document.createElement(\"div\"),{className:n,innerHTML:o})),c},choice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.itemSelectable,o=e.selectedState,a=e.itemDisabled,c=e.placeholder,l=t.id,h=t.value,u=t.label,d=t.groupId,p=t.elementId,m=t.disabled,f=t.selected,v=t.placeholder,g=Object.assign(document.createElement(\"div\"),{id:p,innerHTML:u,className:n+\" \"+s});return f&&g.classList.add(o),v&&g.classList.add(c),g.setAttribute(\"role\",d>0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},ve=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ge=function(e,t){return{type:$,id:e,highlighted:t}},_e=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},be=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function ye(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var Ee=\"-ms-scroll-limit\"in document.documentElement.style&&\"-ms-ime-align\"in document.documentElement.style,Ie={},Se=function(){var e,t,i;function n(e,t){var i=this;void 0===e&&(e=\"[data-choice]\"),void 0===t&&(t={}),this.config=o.a.all([P,n.defaults.options,t],{arrayMerge:function(e,t){return[].concat(t)}});var s,r,a,c,l=(s=this.config,r=P,a=Object.keys(s).sort(),c=Object.keys(r).sort(),a.filter((function(e){return c.indexOf(e)<0})));l.length&&console.warn(\"Unknown config option(s) passed\",l.join(\", \"));var h=\"string\"==typeof e?document.querySelector(e):e;if(!(h instanceof HTMLInputElement||h instanceof HTMLSelectElement))throw TypeError(\"Expected one of the following types text|select-one|select-multiple\");if(this._isTextElement=\"text\"===h.type,this._isSelectOneElement=\"select-one\"===h.type,this._isSelectMultipleElement=\"select-multiple\"===h.type,this._isSelectElement=this._isSelectOneElement||this._isSelectMultipleElement,this.config.searchEnabled=this._isSelectMultipleElement||this.config.searchEnabled,[\"auto\",\"always\"].includes(this.config.renderSelectedChoices)||(this.config.renderSelectedChoices=\"auto\"),t.addItemFilter&&\"function\"!=typeof t.addItemFilter){var u=t.addItemFilter instanceof RegExp?t.addItemFilter:new RegExp(t.addItemFilter);this.config.addItemFilter=u.test.bind(u)}if(this._isTextElement?this.passedElement=new de({element:h,classNames:this.config.classNames,delimiter:this.config.delimiter}):this.passedElement=new me({element:h,classNames:this.config.classNames,template:function(e){return i._templates.option(e)}}),this.initialised=!1,this._store=new T,this._initialState={},this._currentState={},this._prevState={},this._currentValue=\"\",this._canSearch=this.config.searchEnabled,this._isScrollingOnIe=!1,this._highlightPosition=0,this._wasTap=!0,this._placeholderValue=this._generatePlaceholderValue(),this._baseId=function(e,t){var i=e.id||e.name&&e.name+\"-\"+b(2)||b(4);return i=t+\"-\"+(i=i.replace(/(:|\\.|\\[|\\]|,)/g,\"\"))}(this.passedElement.element,\"choices-\"),this._direction=this.passedElement.dir,!this._direction){var d=window.getComputedStyle(this.passedElement.element).direction;d!==window.getComputedStyle(document.documentElement).direction&&(this._direction=d)}if(this._idNames={itemChoice:\"item-choice\"},this._presetGroups=this.passedElement.optionGroups,this._presetOptions=this.passedElement.options,this._presetChoices=this.config.choices,this._presetItems=this.config.items,this.passedElement.value&&(this._presetItems=this._presetItems.concat(this.passedElement.value.split(this.config.delimiter))),this.passedElement.options&&this.passedElement.options.forEach((function(e){i._presetChoices.push({value:e.value,label:e.innerHTML,selected:e.selected,disabled:e.disabled||e.parentNode.disabled,placeholder:\"\"===e.value||e.hasAttribute(\"placeholder\"),customProperties:e.getAttribute(\"data-custom-properties\")})})),this._render=this._render.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this),this._onKeyUp=this._onKeyUp.bind(this),this._onKeyDown=this._onKeyDown.bind(this),this._onClick=this._onClick.bind(this),this._onTouchMove=this._onTouchMove.bind(this),this._onTouchEnd=this._onTouchEnd.bind(this),this._onMouseDown=this._onMouseDown.bind(this),this._onMouseOver=this._onMouseOver.bind(this),this._onFormReset=this._onFormReset.bind(this),this._onAKey=this._onAKey.bind(this),this._onEnterKey=this._onEnterKey.bind(this),this._onEscapeKey=this._onEscapeKey.bind(this),this._onDirectionKey=this._onDirectionKey.bind(this),this._onDeleteKey=this._onDeleteKey.bind(this),this.passedElement.isActive)return this.config.silent||console.warn(\"Trying to initialise Choices on element already initialised\"),void(this.initialised=!0);this.init()}e=n,i=[{key:\"defaults\",get:function(){return Object.preventExtensions({get options(){return Ie},get templates(){return fe}})}}],(t=null)&&ye(e.prototype,t),i&&ye(e,i);var r=n.prototype;return r.init=function(){if(!this.initialised){this._createTemplates(),this._createElements(),this._createStructure(),this._initialState=O(this._store.state),this._store.subscribe(this._render),this._render(),this._addEventListeners(),(!this.config.addItems||this.passedElement.element.hasAttribute(\"disabled\"))&&this.disable(),this.initialised=!0;var e=this.config.callbackOnInit;e&&\"function\"==typeof e&&e.call(this)}},r.destroy=function(){this.initialised&&(this._removeEventListeners(),this.passedElement.reveal(),this.containerOuter.unwrap(this.passedElement.element),this.clearStore(),this._isSelectElement&&(this.passedElement.options=this._presetOptions),this._templates=null,this.initialised=!1)},r.enable=function(){return this.passedElement.isDisabled&&this.passedElement.enable(),this.containerOuter.isDisabled&&(this._addEventListeners(),this.input.enable(),this.containerOuter.enable()),this},r.disable=function(){return this.passedElement.isDisabled||this.passedElement.disable(),this.containerOuter.isDisabled||(this._removeEventListeners(),this.input.disable(),this.containerOuter.disable()),this},r.highlightItem=function(e,t){if(void 0===t&&(t=!0),!e)return this;var i=e.id,n=e.groupId,s=void 0===n?-1:n,r=e.value,o=void 0===r?\"\":r,a=e.label,c=void 0===a?\"\":a,l=s>=0?this._store.getGroupById(s):null;return this._store.dispatch(ge(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ge(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(ve(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v<m;v+=1)f[v]&&l(f[v]);return t},r._createItemsFragment=function(e,t){var i=this;void 0===t&&(t=document.createDocumentFragment());var n=this.config,s=n.shouldSortItems,r=n.sorter,o=n.removeItemButton;return s&&!this._isSelectOneElement&&e.sort(r),this._isTextElement?this.passedElement.value=e:this.passedElement.options=e,e.forEach((function(e){var n=i._getTemplate(\"item\",e,o);t.appendChild(n)})),t},r._triggerChange=function(e){null!=e&&this.passedElement.triggerEvent(N,{value:e})},r._selectPlaceholderChoice=function(){var e=this._store.placeholderChoice;e&&(this._addItem({value:e.value,label:e.label,choiceId:e.id,groupId:e.groupId,placeholder:e.placeholder}),this._triggerChange(e.value))},r._handleButtonAction=function(e,t){if(e&&t&&this.config.removeItems&&this.config.removeItemButton){var i=t.parentNode.getAttribute(\"data-id\"),n=e.find((function(e){return e.id===parseInt(i,10)}));this._removeItem(n),this._triggerChange(n.value),this._isSelectOneElement&&this._selectPlaceholderChoice()}},r._handleItemAction=function(e,t,i){var n=this;if(void 0===i&&(i=!1),e&&t&&this.config.removeItems&&!this._isSelectOneElement){var s=t.getAttribute(\"data-id\");e.forEach((function(e){e.id!==parseInt(s,10)||e.highlighted?!i&&e.highlighted&&n.unhighlightItem(e):n.highlightItem(e)})),this.input.focus()}},r._handleChoiceAction=function(e,t){if(e&&t){var i=t.dataset.id,n=this._store.getChoiceById(i);if(n){var s=e[0]&&e[0].keyCode?e[0].keyCode:null,r=this.dropdown.isActive;n.keyCode=s,this.passedElement.triggerEvent(F,{choice:n}),n.selected||n.disabled||this._canAddItem(e,n.value).response&&(this._addItem({value:n.value,label:n.label,choiceId:n.id,groupId:n.groupId,customProperties:n.customProperties,placeholder:n.placeholder,keyCode:n.keyCode}),this._triggerChange(n.value)),this.clearInput(),r&&this._isSelectOneElement&&(this.hideDropdown(!0),this.containerOuter.focus())}}},r._handleBackspace=function(e){if(this.config.removeItems&&e){var t=e[e.length-1],i=e.some((function(e){return e.highlighted}));this.config.editItems&&!i&&t?(this.input.value=t.value,this.input.setWidth(),this._removeItem(t),this._triggerChange(t.value)):(i||this.highlightItem(t,!1),this.removeHighlightedItems(!0))}},r._startLoading=function(){this._store.dispatch(be(!0))},r._stopLoading=function(){this._store.dispatch(be(!1))},r._handleLoadingState=function(e){void 0===e&&(e=!0);var t=this.itemList.getChild(\".\"+this.config.classNames.placeholder);e?(this.disable(),this.containerOuter.addLoadingState(),this._isSelectOneElement?t?t.innerHTML=this.config.loadingText:(t=this._getTemplate(\"placeholder\",this.config.loadingText),this.itemList.append(t)):this.input.placeholder=this.config.loadingText):(this.enable(),this.containerOuter.removeLoadingState(),this._isSelectOneElement?t.innerHTML=this._placeholderValue||\"\":this.input.placeholder=this._placeholderValue||\"\")},r._handleSearch=function(e){if(e&&this.input.isFocussed){var t=this._store.choices,i=this.config,n=i.searchFloor,s=i.searchChoices,r=t.some((function(e){return!e.active}));if(e&&e.length>=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(ve(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(ve(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1;if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(\"[data-choice-selectable]\");else{var p=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=p?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(p,\"[data-choice-selectable]\",d):this.dropdown.element.querySelector(\"[data-choice-selectable]\")}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(Ee&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX<i.offsetLeft;this._isScrollingOnIe=n}if(t!==this.input.element){var s=t.closest(\"[data-button],[data-item],[data-choice]\");if(s instanceof HTMLElement){var r=e.shiftKey,o=this._store.activeItems,a=s.dataset;\"button\"in a?this._handleButtonAction(o,s):\"item\"in a?this._handleItemAction(o,s,r):\"choice\"in a&&this._handleChoiceAction(o,s)}e.preventDefault()}}},r._onMouseOver=function(e){var t=e.target;t instanceof HTMLElement&&\"choice\"in t.dataset&&this._highlightChoice(t)},r._onClick=function(e){var t=e.target;this.containerOuter.element.contains(t)?this.dropdown.isActive||this.containerOuter.isDisabled?this._isSelectOneElement&&t!==this.input.element&&!this.dropdown.element.contains(t)&&this.hideDropdown():this._isTextElement?document.activeElement!==this.input.element&&this.input.focus():(this.showDropdown(),this.containerOuter.focus()):(this._store.highlightedActiveItems.length>0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(_e({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(_e({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r<n;r++)s[r-1]=arguments[r];return(t=this._templates[e]).call.apply(t,[this,i].concat(s))},r._createTemplates=function(){var e=this.config.callbackOnCreateTemplates,t={};e&&\"function\"==typeof e&&(t=e.call(this,S)),this._templates=o()(fe,t)},r._createElements=function(){this.containerOuter=new re({element:this._getTemplate(\"containerOuter\",this._direction,this._isSelectElement,this._isSelectOneElement,this.config.searchEnabled,this.passedElement.element.type),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.containerInner=new re({element:this._getTemplate(\"containerInner\"),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.input=new ae({element:this._getTemplate(\"input\",this._placeholderValue),classNames:this.config.classNames,type:this.passedElement.element.type,preventPaste:!this.config.paste}),this.choiceList=new ce({element:this._getTemplate(\"choiceList\",this._isSelectOneElement)}),this.itemList=new ce({element:this._getTemplate(\"itemList\",this._isSelectOneElement)}),this.dropdown=new k({element:this._getTemplate(\"dropdown\"),classNames:this.config.classNames,type:this.passedElement.element.type})},r._createStructure=function(){this.passedElement.conceal(),this.containerInner.wrap(this.passedElement.element),this.containerOuter.wrap(this.containerInner.element),this._isSelectOneElement?this.input.placeholder=this.config.searchPlaceholderValue||\"\":this._placeholderValue&&(this.input.placeholder=this._placeholderValue,this.input.setWidth()),this.containerOuter.element.appendChild(this.containerInner.element),this.containerOuter.element.appendChild(this.dropdown.element),this.containerInner.element.appendChild(this.itemList.element),this._isTextElement||this.dropdown.element.appendChild(this.choiceList.element),this._isSelectOneElement?this.config.searchEnabled&&this.dropdown.element.insertBefore(this.input.element,this.dropdown.element.firstChild):this.containerInner.element.appendChild(this.input.element),this._isSelectElement&&(this._highlightPosition=0,this._isSearching=!1,this._startLoading(),this._presetGroups.length?this._addPredefinedGroups(this._presetGroups):this._addPredefinedChoices(this._presetChoices),this._stopLoading()),this._isTextElement&&this._addPredefinedItems(this._presetItems)},r._addPredefinedGroups=function(e){var t=this,i=this.passedElement.placeholderOption;i&&\"SELECT\"===i.parentNode.tagName&&this._addChoice({value:i.value,label:i.innerHTML,isSelected:i.selected,isDisabled:i.disabled,placeholder:!0}),e.forEach((function(e){return t._addGroup({group:e,id:e.id||null})}))},r._addPredefinedChoices=function(e){var t=this;this.config.shouldSort&&e.sort(this.config.sorter);var i=e.some((function(e){return e.selected})),n=e.findIndex((function(e){return void 0===e.disabled||!e.disabled}));e.forEach((function(e,s){var r=e.value,o=e.label,a=e.customProperties,c=e.placeholder;if(t._isSelectElement)if(e.choices)t._addGroup({group:e,id:e.id||null});else{var l=!(!t._isSelectOneElement||i||s!==n)||e.selected,h=e.disabled;t._addChoice({value:r,label:o,isSelected:l,isDisabled:h,customProperties:a,placeholder:c})}else t._addChoice({value:r,label:o,isSelected:e.selected,isDisabled:e.disabled,customProperties:a,placeholder:c})}))},r._addPredefinedItems=function(e){var t=this;e.forEach((function(e){\"object\"==typeof e&&e.value&&t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}),\"string\"==typeof e&&t._addItem({value:e})}))},r._setChoiceOrItem=function(e){var t=this;({object:function(){e.value&&(t._isTextElement?t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}):t._addChoice({value:e.value,label:e.label,isSelected:!0,isDisabled:!1,customProperties:e.customProperties,placeholder:e.placeholder}))},string:function(){t._isTextElement?t._addItem({value:e}):t._addChoice({value:e,label:e,isSelected:!0,isDisabled:!1})}})[y(e).toLowerCase()]()},r._findAndSelectChoiceByValue=function(e){var t=this,i=this._store.choices.find((function(i){return t.config.valueComparer(i.value,e)}));i&&!i.selected&&this._addItem({value:i.value,label:i.label,choiceId:i.id,groupId:i.groupId,customProperties:i.customProperties,placeholder:i.placeholder,keyCode:i.keyCode})},r._generatePlaceholderValue=function(){if(this._isSelectElement){var e=this.passedElement.placeholderOption;return!!e&&e.text}var t=this.config,i=t.placeholder,n=t.placeholderValue,s=this.passedElement.element.dataset;if(i){if(n)return n;if(s.placeholder)return s.placeholder}return!1},n}();t.default=Se}]).default},\"object\"==typeof i&&\"object\"==typeof t?t.exports=s():\"function\"==typeof define&&define.amd?define([],s):\"object\"==typeof i?i.Choices=s():n.Choices=s()},\n",
+       "      428: function _(n,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});e.default=\"\\n.bk-root {\\n  /*===============================\\n=            Choices            =\\n===============================*/\\n  /*=====  End of Choices  ======*/\\n}\\n.bk-root .choices {\\n  position: relative;\\n  margin-bottom: 24px;\\n  font-size: 16px;\\n}\\n.bk-root .choices:focus {\\n  outline: none;\\n}\\n.bk-root .choices:last-child {\\n  margin-bottom: 0;\\n}\\n.bk-root .choices.is-disabled .choices__inner,\\n.bk-root .choices.is-disabled .choices__input {\\n  background-color: #eaeaea;\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n}\\n.bk-root .choices.is-disabled .choices__item {\\n  cursor: not-allowed;\\n}\\n.bk-root .choices [hidden] {\\n  display: none !important;\\n}\\n.bk-root .choices[data-type*='select-one'] {\\n  cursor: pointer;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__inner {\\n  padding-bottom: 7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__input {\\n  display: block;\\n  width: 100%;\\n  padding: 10px;\\n  border-bottom: 1px solid #dddddd;\\n  background-color: #ffffff;\\n  margin: 0;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDAwIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  padding: 0;\\n  background-size: 8px;\\n  position: absolute;\\n  top: 50%;\\n  right: 0;\\n  margin-top: -10px;\\n  margin-right: 25px;\\n  height: 20px;\\n  width: 20px;\\n  border-radius: 10em;\\n  opacity: 0.5;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  box-shadow: 0px 0px 0px 2px #00bcd4;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__item[data-value=''] .choices__button {\\n  display: none;\\n}\\n.bk-root .choices[data-type*='select-one']:after {\\n  content: '';\\n  height: 0;\\n  width: 0;\\n  border-style: solid;\\n  border-color: #333333 transparent transparent transparent;\\n  border-width: 5px;\\n  position: absolute;\\n  right: 11.5px;\\n  top: 50%;\\n  margin-top: -2.5px;\\n  pointer-events: none;\\n}\\n.bk-root .choices[data-type*='select-one'].is-open:after {\\n  border-color: transparent transparent #333333 transparent;\\n  margin-top: -7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl']:after {\\n  left: 11.5px;\\n  right: auto;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl'] .choices__button {\\n  right: auto;\\n  left: 0;\\n  margin-left: 25px;\\n  margin-right: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__inner,\\n.bk-root .choices[data-type*='text'] .choices__inner {\\n  cursor: text;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button,\\n.bk-root .choices[data-type*='text'] .choices__button {\\n  position: relative;\\n  display: inline-block;\\n  margin-top: 0;\\n  margin-right: -4px;\\n  margin-bottom: 0;\\n  margin-left: 8px;\\n  padding-left: 16px;\\n  border-left: 1px solid #008fa1;\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjRkZGIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  background-size: 8px;\\n  width: 8px;\\n  line-height: 1;\\n  opacity: 0.75;\\n  border-radius: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:focus,\\n.bk-root .choices[data-type*='text'] .choices__button:hover,\\n.bk-root .choices[data-type*='text'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices__inner {\\n  display: inline-block;\\n  vertical-align: top;\\n  width: 100%;\\n  background-color: #f9f9f9;\\n  padding: 7.5px 7.5px 3.75px;\\n  border: 1px solid #dddddd;\\n  border-radius: 2.5px;\\n  font-size: 14px;\\n  min-height: 44px;\\n  overflow: hidden;\\n}\\n.bk-root .is-focused .choices__inner,\\n.bk-root .is-open .choices__inner {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-open .choices__inner {\\n  border-radius: 2.5px 2.5px 0 0;\\n}\\n.bk-root .is-flipped.is-open .choices__inner {\\n  border-radius: 0 0 2.5px 2.5px;\\n}\\n.bk-root .choices__list {\\n  margin: 0;\\n  padding-left: 0;\\n  list-style: none;\\n}\\n.bk-root .choices__list--single {\\n  display: inline-block;\\n  padding: 4px 16px 4px 4px;\\n  width: 100%;\\n}\\n.bk-root [dir='rtl'] .choices__list--single {\\n  padding-right: 4px;\\n  padding-left: 16px;\\n}\\n.bk-root .choices__list--single .choices__item {\\n  width: 100%;\\n}\\n.bk-root .choices__list--multiple {\\n  display: inline;\\n}\\n.bk-root .choices__list--multiple .choices__item {\\n  display: inline-block;\\n  vertical-align: middle;\\n  border-radius: 20px;\\n  padding: 4px 10px;\\n  font-size: 12px;\\n  font-weight: 500;\\n  margin-right: 3.75px;\\n  margin-bottom: 3.75px;\\n  background-color: #00bcd4;\\n  border: 1px solid #00a5bb;\\n  color: #ffffff;\\n  word-break: break-all;\\n  box-sizing: border-box;\\n}\\n.bk-root .choices__list--multiple .choices__item[data-deletable] {\\n  padding-right: 5px;\\n}\\n.bk-root [dir='rtl'] .choices__list--multiple .choices__item {\\n  margin-right: 0;\\n  margin-left: 3.75px;\\n}\\n.bk-root .choices__list--multiple .choices__item.is-highlighted {\\n  background-color: #00a5bb;\\n  border: 1px solid #008fa1;\\n}\\n.bk-root .is-disabled .choices__list--multiple .choices__item {\\n  background-color: #aaaaaa;\\n  border: 1px solid #919191;\\n}\\n.bk-root .choices__list--dropdown {\\n  visibility: hidden;\\n  z-index: 1;\\n  position: absolute;\\n  width: 100%;\\n  background-color: #ffffff;\\n  border: 1px solid #dddddd;\\n  top: 100%;\\n  margin-top: -1px;\\n  border-bottom-left-radius: 2.5px;\\n  border-bottom-right-radius: 2.5px;\\n  overflow: hidden;\\n  word-break: break-all;\\n  will-change: visibility;\\n}\\n.bk-root .choices__list--dropdown.is-active {\\n  visibility: visible;\\n}\\n.bk-root .is-open .choices__list--dropdown {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-flipped .choices__list--dropdown {\\n  top: auto;\\n  bottom: 100%;\\n  margin-top: 0;\\n  margin-bottom: -1px;\\n  border-radius: 0.25rem 0.25rem 0 0;\\n}\\n.bk-root .choices__list--dropdown .choices__list {\\n  position: relative;\\n  max-height: 300px;\\n  overflow: auto;\\n  -webkit-overflow-scrolling: touch;\\n  will-change: scroll-position;\\n}\\n.bk-root .choices__list--dropdown .choices__item {\\n  position: relative;\\n  padding: 10px;\\n  font-size: 14px;\\n}\\n.bk-root [dir='rtl'] .choices__list--dropdown .choices__item {\\n  text-align: right;\\n}\\n@media (min-width: 640px) {\\n  .bk-root .choices__list--dropdown .choices__item--selectable {\\n    padding-right: 100px;\\n  }\\n  .bk-root .choices__list--dropdown .choices__item--selectable:after {\\n    content: attr(data-select-text);\\n    font-size: 12px;\\n    opacity: 0;\\n    position: absolute;\\n    right: 10px;\\n    top: 50%;\\n    transform: translateY(-50%);\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable {\\n    text-align: right;\\n    padding-left: 100px;\\n    padding-right: 10px;\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable:after {\\n    right: auto;\\n    left: 10px;\\n  }\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted:after {\\n  opacity: 0.5;\\n}\\n.bk-root .choices__item {\\n  cursor: default;\\n}\\n.bk-root .choices__item--selectable {\\n  cursor: pointer;\\n}\\n.bk-root .choices__item--disabled {\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  opacity: 0.5;\\n}\\n.bk-root .choices__heading {\\n  font-weight: 600;\\n  font-size: 12px;\\n  padding: 10px;\\n  border-bottom: 1px solid #f7f7f7;\\n  color: gray;\\n}\\n.bk-root .choices__button {\\n  text-indent: -9999px;\\n  -webkit-appearance: none;\\n  -moz-appearance: none;\\n  appearance: none;\\n  border: 0;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center;\\n  cursor: pointer;\\n}\\n.bk-root .choices__button:focus {\\n  outline: none;\\n}\\n.bk-root .choices__input {\\n  display: inline-block;\\n  vertical-align: baseline;\\n  background-color: #f9f9f9;\\n  font-size: 14px;\\n  margin-bottom: 5px;\\n  border: 0;\\n  border-radius: 0;\\n  max-width: 100%;\\n  padding: 4px 0 4px 2px;\\n}\\n.bk-root .choices__input:focus {\\n  outline: 0;\\n}\\n.bk-root [dir='rtl'] .choices__input {\\n  padding-right: 2px;\\n  padding-left: 0;\\n}\\n.bk-root .choices__placeholder {\\n  opacity: 0.5;\\n}\\n.bk-root .choices {\\n  width: 100%;\\n}\\n.bk-root .choices__inner .choices__item.light {\\n  background-color: rgba(0, 126, 255, 0.08);\\n  border-radius: 5px;\\n  border: 1px solid rgba(0, 126, 255, 0.24);\\n  color: #007eff;\\n}\\n.bk-root .choices__inner .choices__item.solid {\\n  background-color: #1f77b4;\\n  border: none;\\n  border-radius: 5px;\\n  color: white;\\n}\\n.bk-root .choices__inner .choices__item.solid .is-highlighted {\\n  background-color: #1f77b4;\\n  border: none;\\n}\\n.bk-root .choices__input {\\n  background-color: transparent;\\n}\\n.bk-root .choices__inner {\\n  background: transparent;\\n  border: 1px solid darkgray;\\n  border-radius: 5px;\\n  min-height: unset;\\n}\\n.bk-root .choices__list {\\n  white-space: initial;\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.light {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDA3ZWZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.solid {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjZmZmZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  border-left: 1px solid white;\\n  opacity: 1;\\n}\\n\"},\n",
+       "      429: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=e(418),i=e(68);class n extends s.MarkupView{render(){super.render();const e=i.pre({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=n,n.__name__=\"PreTextView\";class _ extends s.Markup{constructor(e){super(e)}static init_PreText(){this.prototype.default_view=n}}r.PreText=_,_.__name__=\"PreText\",_.init_PreText()},\n",
+       "      430: function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(403),n=t(68),u=i.__importStar(t(18)),s=t(146);class _ extends a.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach((o,e)=>{n.classes(o).toggle(s.bk_active,t===e)})}}e.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class c extends a.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define({active:[u.Any,null]})}}e.RadioButtonGroup=c,c.__name__=\"RadioButtonGroup\",c.init_RadioButtonGroup()},\n",
+       "      431: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),a=e(68),s=e(24),o=n.__importStar(e(18)),d=e(405),l=e(146),p=e(400);class r extends d.InputGroupView{render(){super.render();const e=a.div({class:[p.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const i=s.uniqueId(),{active:t,labels:n}=this.model;this._inputs=[];for(let s=0;s<n.length;s++){const o=a.input({type:\"radio\",name:i,value:\"\"+s});o.addEventListener(\"change\",()=>this.change_active(s)),this._inputs.push(o),this.model.disabled&&(o.disabled=!0),s==t&&(o.checked=!0);const d=a.label({},o,a.span({},n[s]));e.appendChild(d)}}change_active(e){this.model.active=e}}t.RadioGroupView=r,r.__name__=\"RadioGroupView\";class u extends d.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=r,this.define({active:[o.Number],labels:[o.Array,[]],inline:[o.Boolean,!1]})}}t.RadioGroup=u,u.__name__=\"RadioGroup\",u.init_RadioGroup()},\n",
+       "      432: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),a=e(411),n=e(8);class o extends a.AbstractRangeSliderView{}r.RangeSliderView=o,o.__name__=\"RangeSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(e,t){return n.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.RangeSlider=s,s.__name__=\"RangeSlider\",s.init_RangeSlider()},\n",
+       "      433: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(68),l=e(8),o=e(17),p=n.__importStar(e(18)),u=e(398),a=e(400);class _ extends u.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,()=>{this._update_value()}),this.on_change(t,()=>{s.empty(this.input_el),s.append(this.input_el,...this.options_el())})}options_el(){function e(e){return e.map(e=>{let t,i;return l.isString(e)?t=i=e:[t,i]=e,s.option({value:t},i)})}const{options:t}=this.model;return l.isArray(t)?e(t):o.entries(t).map(([t,i])=>s.optgroup({label:t},e(i)))}render(){super.render(),this.input_el=s.select({class:a.bk_input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;null!=e&&0!=e.length&&(this.input_el.value=this.model.value)}}i.SelectView=_,_.__name__=\"SelectView\";class h extends u.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=_,this.define({value:[p.String,\"\"],options:[p.Any,[]]})}}i.Select=h,h.__name__=\"Select\",h.init_Select()},\n",
+       "      434: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),o=e(411),s=e(8);class _ extends o.AbstractSliderView{}r.SliderView=_,_.__name__=\"SliderView\";class a extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=_,this.override({format:\"0[.]00\"})}_formatter(e,t){return s.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.Slider=a,a.__name__=\"Slider\",a.init_Slider()},\n",
+       "      435: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),h=n.__importStar(e(18)),o=e(400),{floor:p,max:d,min:u}=Math;function r(e){return p(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.low.change,()=>{const{low:e}=this.model;null!=e&&(this.input_el.min=e.toFixed(16))}),this.connect(this.model.properties.high.change,()=>{const{high:e}=this.model;null!=e&&(this.input_el.max=e.toFixed(16))}),this.connect(this.model.properties.step.change,()=>{const{step:e}=this.model;this.input_el.step=e.toFixed(16)}),this.connect(this.model.properties.value.change,()=>{const{value:e,step:t}=this.model;this.input_el.value=e.toFixed(r(t)).replace(/(\\.[0-9]*[1-9])0+$|\\.0*$/,\"$1\")}),this.connect(this.model.properties.disabled.change,()=>{this.input_el.disabled=this.model.disabled})}render(){super.render(),this.input_el=l.input({type:\"number\",class:o.bk_input,name:this.model.name,min:this.model.low,max:this.model.high,value:this.model.value,step:this.model.step,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){if(this.input_el.value){const{step:e}=this.model;let t=Number(this.input_el.value);null!=this.model.low&&(t=d(t,this.model.low)),null!=this.model.high&&(t=u(t,this.model.high)),this.model.value=Number(t.toFixed(r(e))),super.change_input()}}}i.SpinnerView=a,a.__name__=\"SpinnerView\";class c extends s.InputWidget{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=a,this.define({value:[h.Number,0],low:[h.Number,null],high:[h.Number,null],step:[h.Number,1]})}}i.Spinner=c,c.__name__=\"Spinner\",c.init_Spinner()},\n",
+       "      436: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(398),l=e(68),h=s.__importStar(e(18)),o=e(400);class a extends n.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder),this.connect(this.model.properties.rows.change,()=>this.input_el.rows=this.model.rows),this.connect(this.model.properties.cols.change,()=>this.input_el.cols=this.model.cols),this.connect(this.model.properties.max_length.change,()=>this.input_el.maxLength=this.model.max_length)}render(){super.render(),this.input_el=l.textarea({class:o.bk_input,name:this.model.name,disabled:this.model.disabled,placeholder:this.model.placeholder,cols:this.model.cols,rows:this.model.rows,maxLength:this.model.max_length}),this.input_el.textContent=this.model.value,this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}}i.TextAreaInputView=a,a.__name__=\"TextAreaInputView\";class p extends n.InputWidget{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=a,this.define({value:[h.String,\"\"],value_input:[h.String,\"\"],placeholder:[h.String,\"\"],cols:[h.Number,20],rows:[h.Number,2],max_length:[h.Number,500]})}}i.TextAreaInput=p,p.__name__=\"TextAreaInput\",p.init_TextAreaInput()},\n",
+       "      437: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),c=e(392),o=e(68),a=s.__importStar(e(18)),n=e(146);class l extends c.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._update_active())}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){o.classes(this.button_el).toggle(n.bk_active,this.model.active)}}i.ToggleView=l,l.__name__=\"ToggleView\";class _ extends c.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=l,this.define({active:[a.Boolean,!1]}),this.override({label:\"Toggle\"})}}i.Toggle=_,_.__name__=\"Toggle\",_.init_Toggle()},\n",
+       "      }, 390, {\"models/widgets/main\":390,\"models/widgets/index\":391,\"models/widgets/abstract_button\":392,\"models/widgets/control\":393,\"models/widgets/widget\":458,\"models/widgets/abstract_icon\":395,\"models/widgets/autocomplete_input\":396,\"models/widgets/text_input\":397,\"models/widgets/input_widget\":398,\"styles/widgets/inputs.css\":399,\"styles/widgets/inputs\":400,\"models/widgets/button\":401,\"models/widgets/checkbox_button_group\":402,\"models/widgets/button_group\":403,\"models/widgets/checkbox_group\":404,\"models/widgets/input_group\":405,\"models/widgets/color_picker\":406,\"models/widgets/date_picker\":407,\"styles/widgets/flatpickr.css\":409,\"models/widgets/date_range_slider\":410,\"models/widgets/abstract_slider\":411,\"styles/widgets/sliders\":413,\"styles/widgets/nouislider.css\":414,\"styles/widgets/sliders.css\":415,\"models/widgets/date_slider\":416,\"models/widgets/div\":417,\"models/widgets/markup\":418,\"styles/clearfix\":419,\"styles/clearfix.css\":420,\"models/widgets/dropdown\":421,\"models/widgets/file_input\":422,\"models/widgets/multiselect\":423,\"models/widgets/paragraph\":424,\"models/widgets/password_input\":425,\"models/widgets/multichoice\":426,\"styles/widgets/choices.css\":428,\"models/widgets/pretext\":429,\"models/widgets/radio_button_group\":430,\"models/widgets/radio_group\":431,\"models/widgets/range_slider\":432,\"models/widgets/selectbox\":433,\"models/widgets/slider\":434,\"models/widgets/spinner\":435,\"models/widgets/textarea_input\":436,\"models/widgets/toggle\":437}, {});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END bokeh-widgets.min.js */\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN bokeh-tables.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        factory(root[\"Bokeh\"], \"2.1.1\");\n",
+       "      })(this, function(Bokeh, version) {\n",
+       "        var define;\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
+       "          if (bokeh != null) {\n",
+       "            return bokeh.register_plugin(modules, entry, aliases);\n",
+       "          } else {\n",
+       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
+       "          }\n",
+       "        })\n",
+       "      ({\n",
+       "      438: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(439));o.Tables=r,e(7).register_models(r)},\n",
+       "      439: function _(a,g,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(1);e.__exportStar(a(440),r),e.__exportStar(a(462),r);var t=a(441);r.DataTable=t.DataTable;var o=a(465);r.TableColumn=o.TableColumn;var n=a(457);r.TableWidget=n.TableWidget;var u=a(466);r.AvgAggregator=u.AvgAggregator,r.MinAggregator=u.MinAggregator,r.MaxAggregator=u.MaxAggregator,r.SumAggregator=u.SumAggregator;var l=a(467);r.GroupingInfo=l.GroupingInfo,r.DataCube=l.DataCube},\n",
+       "      440: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1).__importStar(e(18)),r=e(68),a=e(66),n=e(71),l=e(441),u=e(459);class d extends a.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(u.bk_cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",e=>{switch(e.keyCode){case r.Keys.Left:case r.Keys.Right:case r.Keys.Up:case r.Keys.Down:case r.Keys.PageUp:case r.Keys.PageDown:e.stopImmediatePropagation()}})}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[l.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=d,d.__name__=\"CellEditorView\";class o extends n.Model{}i.CellEditor=o,o.__name__=\"CellEditor\";class _ extends d{get emptyValue(){return\"\"}_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=_,_.__name__=\"StringEditorView\";class c extends o{static init_StringEditor(){this.prototype.default_view=_,this.define({completions:[s.Array,[]]})}}i.StringEditor=c,c.__name__=\"StringEditor\",c.init_StringEditor();class p extends d{_createInput(){return r.textarea()}}i.TextEditorView=p,p.__name__=\"TextEditorView\";class h extends o{static init_TextEditor(){this.prototype.default_view=p}}i.TextEditor=h,h.__name__=\"TextEditor\",h.init_TextEditor();class E extends d{_createInput(){return r.select()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild(r.option({value:e},e));this.focus()}}i.SelectEditorView=E,E.__name__=\"SelectEditorView\";class V extends o{static init_SelectEditor(){this.prototype.default_view=E,this.define({options:[s.Array,[]]})}}i.SelectEditor=V,V.__name__=\"SelectEditor\",V.init_SelectEditor();class m extends d{_createInput(){return r.input({type:\"text\"})}}i.PercentEditorView=m,m.__name__=\"PercentEditorView\";class f extends o{static init_PercentEditor(){this.prototype.default_view=m}}i.PercentEditor=f,f.__name__=\"PercentEditor\",f.init_PercentEditor();class x extends d{_createInput(){return r.input({type:\"checkbox\",value:\"true\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=x,x.__name__=\"CheckboxEditorView\";class w extends o{static init_CheckboxEditor(){this.prototype.default_view=x}}i.CheckboxEditor=w,w.__name__=\"CheckboxEditor\",w.init_CheckboxEditor();class g extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseInt(this.getValue(),10)||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=g,g.__name__=\"IntEditorView\";class v extends o{static init_IntEditor(){this.prototype.default_view=g,this.define({step:[s.Number,1]})}}i.IntEditor=v,v.__name__=\"IntEditor\",v.init_IntEditor();class y extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseFloat(this.getValue())||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=y,y.__name__=\"NumberEditorView\";class b extends o{static init_NumberEditor(){this.prototype.default_view=y,this.define({step:[s.Number,.01]})}}i.NumberEditor=b,b.__name__=\"NumberEditor\",b.init_NumberEditor();class I extends d{_createInput(){return r.input({type:\"text\"})}}i.TimeEditorView=I,I.__name__=\"TimeEditorView\";class N extends o{static init_TimeEditor(){this.prototype.default_view=I}}i.TimeEditor=N,N.__name__=\"TimeEditor\",N.init_TimeEditor();class C extends d{_createInput(){return r.input({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=C,C.__name__=\"DateEditorView\";class D extends o{static init_DateEditor(){this.prototype.default_view=C}}i.DateEditor=D,D.__name__=\"DateEditor\",D.init_DateEditor()},\n",
+       "      441: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),o=e(442),n=e(446),l=e(447),r=e(448),d=s.__importStar(e(18)),a=e(24),h=e(8),c=e(9),u=e(17),_=e(72),m=e(188),g=e(457),p=e(458),b=e(459),f=s.__importDefault(e(460)),w=s.__importDefault(e(461));i.DTINDEX_NAME=\"__bkdt_internal_index__\";class x{constructor(e,t){this.init(e,t)}init(e,t){if(i.DTINDEX_NAME in e.data)throw new Error(`special name ${i.DTINDEX_NAME} cannot be used as a data table column`);this.source=e,this.view=t,this.index=this.view.indices}getLength(){return this.index.length}getItem(e){const t={};for(const i of u.keys(this.source.data))t[i]=this.source.data[i][this.index[e]];return t[i.DTINDEX_NAME]=this.index[e],t}getField(e,t){return t==i.DTINDEX_NAME?this.index[e]:this.source.data[t][this.index[e]]}setField(e,t,i){const s=this.index[e];this.source.patch({[t]:[[s,i]]})}getItemMetadata(e){return null}getRecords(){return c.range(0,this.getLength()).map(e=>this.getItem(e))}sort(e){let t=e.map(e=>[e.sortCol.field,e.sortAsc?1:-1]);0==t.length&&(t=[[i.DTINDEX_NAME,1]]);const s=this.getRecords(),o=this.index.slice();this.index.sort((function(e,i){for(const[n,l]of t){const t=s[o.indexOf(e)][n],r=s[o.indexOf(i)][n],d=t==r?0:t>r?l:-l;if(0!=d)return d}return 0}))}}i.TableDataProvider=x,x.__name__=\"TableDataProvider\";class C extends p.WidgetView{constructor(){super(...arguments),this._in_selection_update=!1,this._warned_not_reorderable=!1}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.source.streaming,()=>this.updateGrid()),this.connect(this.model.source.patching,()=>this.updateGrid()),this.connect(this.model.source.change,()=>this.updateGrid()),this.connect(this.model.source.properties.data.change,()=>this.updateGrid()),this.connect(this.model.source.selected.change,()=>this.updateSelection()),this.connect(this.model.source.selected.properties.indices.change,()=>this.updateSelection())}remove(){var e;null===(e=this.grid)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),f.default,w.default]}_update_layout(){this.layout=new m.LayoutItem,this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.grid.resizeCanvas()}updateGrid(){if(this.model.view.compute_indices(),this.data.init(this.model.source,this.model.view),this.model.sortable){const e=this.grid.getColumns(),t=this.grid.getSortColumns().map(t=>({sortCol:{field:e[this.grid.getColumnIndex(t.columnId)].field},sortAsc:t.sortAsc}));this.data.sort(t)}this.grid.invalidate(),this.grid.render()}updateSelection(){if(this._in_selection_update)return;const{selected:e}=this.model.source,t=e.indices.map(e=>this.data.index.indexOf(e)).sort();this._in_selection_update=!0,this.grid.setSelectedRows(t),this._in_selection_update=!1;const i=this.grid.getViewport(),s=this.model.get_scroll_index(i,t);null!=s&&this.grid.scrollRowToTop(s)}newIndexColumn(){return{id:a.uniqueId(),name:this.model.index_header,field:i.DTINDEX_NAME,width:this.model.index_width,behavior:\"select\",cannotTriggerInsert:!0,resizable:!1,selectable:!1,sortable:!0,cssClass:b.bk_cell_index,headerCssClass:b.bk_header_index}}css_classes(){return super.css_classes().concat(b.bk_data_table)}render(){let e,t=this.model.columns.map(e=>Object.assign(Object.assign({},e.toColumn()),{parent:this}));if(\"checkbox\"==this.model.selectable&&(e=new n.CheckboxSelectColumn({cssClass:b.bk_cell_select}),t.unshift(e.getColumnDefinition())),null!=this.model.index_position){const e=this.model.index_position,i=this.newIndexColumn();-1==e?t.push(i):e<-1?t.splice(e+1,0,i):t.splice(e,0,i)}let{reorderable:i}=this.model;!i||\"undefined\"!=typeof $&&null!=$.fn&&null!=$.fn.sortable||(this._warned_not_reorderable||(_.logger.warn(\"jquery-ui is required to enable DataTable.reorderable\"),this._warned_not_reorderable=!0),i=!1);const s={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:i,forceFitColumns:this.model.fit_columns,multiColumnSort:this.model.sortable,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height};if(this.data=new x(this.model.source,this.model.view),this.grid=new r.Grid(this.el,this.data,t,s),this.grid.onSort.subscribe((e,i)=>{this.model.sortable&&(t=i.sortCols,this.data.sort(t),this.grid.invalidate(),this.updateSelection(),this.grid.render(),this.model.header_row||this._hide_header(),this.model.update_sort_columns(t))}),!1!==this.model.selectable){this.grid.setSelectionModel(new o.RowSelectionModel({selectActiveRow:null==e})),null!=e&&this.grid.registerPlugin(e);const t={dataItemColumnValueExtractor(e,t){let i=e[t.field];return h.isString(i)&&(i=i.replace(/\\n/g,\"\\\\n\")),i},includeHeaderWhenCopying:!1};this.grid.registerPlugin(new l.CellExternalCopyManager(t)),this.grid.onSelectedRowsChanged.subscribe((e,t)=>{this._in_selection_update||(this.model.source.selected.indices=t.rows.map(e=>this.data.index[e]))}),this.updateSelection(),this.model.header_row||this._hide_header()}}_hide_header(){for(const e of Array.from(this.el.querySelectorAll(\".slick-header-columns\")))e.style.height=\"0px\";this.grid.resizeCanvas()}}i.DataTableView=C,C.__name__=\"DataTableView\";class D extends g.TableWidget{constructor(e){super(e),this._sort_columns=[]}get sort_columns(){return this._sort_columns}static init_DataTable(){this.prototype.default_view=C,this.define({columns:[d.Array,[]],fit_columns:[d.Boolean,!0],sortable:[d.Boolean,!0],reorderable:[d.Boolean,!0],editable:[d.Boolean,!1],selectable:[d.Any,!0],index_position:[d.Int,0],index_header:[d.String,\"#\"],index_width:[d.Int,40],scroll_to_selection:[d.Boolean,!0],header_row:[d.Boolean,!0],row_height:[d.Int,25]}),this.override({width:600,height:400})}update_sort_columns(e){return this._sort_columns=e.map(e=>({field:e.sortCol.field,sortAsc:e.sortAsc})),null}get_scroll_index(e,t){return this.scroll_to_selection&&0!=t.length?c.some(t,t=>e.top<=t&&t<=e.bottom)?null:Math.max(0,Math.min(...t)-1):null}}i.DataTable=D,D.__name__=\"DataTable\",D.init_DataTable()},\n",
+       "      442: function _(e,t,n){var o=e(443),r=e(445);t.exports={RowSelectionModel:function(e){var t,n,l,i=[],c=this,u=new r.EventHandler,s={selectActiveRow:!0};function a(e){return function(){n||(n=!0,e.apply(this,arguments),n=!1)}}function f(e){for(var t=[],n=0;n<e.length;n++)for(var o=e[n].fromRow;o<=e[n].toRow;o++)t.push(o);return t}function h(e){for(var n=[],o=t.getColumns().length-1,l=0;l<e.length;l++)n.push(new r.Range(e[l],0,e[l],o));return n}function w(){return f(i)}function g(e){(i&&0!==i.length||e&&0!==e.length)&&(i=e,c.onSelectedRangesChanged.notify(i))}function v(e,n){l.selectActiveRow&&null!=n.row&&g([new r.Range(n.row,0,n.row,t.getColumns().length-1)])}function p(e){var n=t.getActiveCell();if(t.getOptions().multiSelect&&n&&e.shiftKey&&!e.ctrlKey&&!e.altKey&&!e.metaKey&&(e.which==r.keyCode.UP||e.which==r.keyCode.DOWN)){var o=w();o.sort((function(e,t){return e-t})),o.length||(o=[n.row]);var l,i=o[0],c=o[o.length-1];if((l=e.which==r.keyCode.DOWN?n.row<c||i==c?++c:++i:n.row<c?--c:--i)>=0&&l<t.getDataLength())t.scrollRowIntoView(l),g(h(function(e,t){var n,o=[];for(n=e;n<=t;n++)o.push(n);for(n=t;n<e;n++)o.push(n);return o}(i,c)));e.preventDefault(),e.stopPropagation()}}function y(e){var n=t.getCellFromEvent(e);if(!n||!t.canCellBeActive(n.row,n.cell))return!1;if(!t.getOptions().multiSelect||!e.ctrlKey&&!e.shiftKey&&!e.metaKey)return!1;var r=f(i),l=o.inArray(n.row,r);if(-1===l&&(e.ctrlKey||e.metaKey))r.push(n.row),t.setActiveCell(n.row,n.cell);else if(-1!==l&&(e.ctrlKey||e.metaKey))r=o.grep(r,(function(e,t){return e!==n.row})),t.setActiveCell(n.row,n.cell);else if(r.length&&e.shiftKey){var c=r.pop(),u=Math.min(n.row,c),s=Math.max(n.row,c);r=[];for(var a=u;a<=s;a++)a!==c&&r.push(a);r.push(c),t.setActiveCell(n.row,n.cell)}return g(h(r)),e.stopImmediatePropagation(),!0}o.extend(this,{getSelectedRows:w,setSelectedRows:function(e){g(h(e))},getSelectedRanges:function(){return i},setSelectedRanges:g,init:function(n){l=o.extend(!0,{},s,e),t=n,u.subscribe(t.onActiveCellChanged,a(v)),u.subscribe(t.onKeyDown,a(p)),u.subscribe(t.onClick,a(y))},destroy:function(){u.unsubscribeAll()},onSelectedRangesChanged:new r.Event})}}},\n",
+       "      443: function _(e,n,f){n.exports=\"undefined\"!=typeof $?$:e(444)},\n",
+       "      444: function _(e,t,n){\n",
+       "      /*!\n",
+       "           * jQuery JavaScript Library v3.5.0\n",
+       "           * https://jquery.com/\n",
+       "           *\n",
+       "           * Includes Sizzle.js\n",
+       "           * https://sizzlejs.com/\n",
+       "           *\n",
+       "           * Copyright JS Foundation and other contributors\n",
+       "           * Released under the MIT license\n",
+       "           * https://jquery.org/license\n",
+       "           *\n",
+       "           * Date: 2020-04-10T15:07Z\n",
+       "           */\n",
+       "      !function(e,n){\"use strict\";\"object\"==typeof t&&\"object\"==typeof t.exports?t.exports=e.document?n(e,!0):function(e){if(!e.document)throw new Error(\"jQuery requires a window with a document\");return n(e)}:n(e)}(\"undefined\"!=typeof window?window:this,(function(e,t){\"use strict\";var n=[],r=Object.getPrototypeOf,i=n.slice,o=n.flat?function(e){return n.flat.call(e)}:function(e){return n.concat.apply([],e)},a=n.push,s=n.indexOf,u={},l=u.toString,c=u.hasOwnProperty,f=c.toString,p=f.call(Object),d={},h=function(e){return\"function\"==typeof e&&\"number\"!=typeof e.nodeType},g=function(e){return null!=e&&e===e.window},v=e.document,y={type:!0,src:!0,nonce:!0,noModule:!0};function m(e,t,n){var r,i,o=(n=n||v).createElement(\"script\");if(o.text=e,t)for(r in y)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function x(e){return null==e?e+\"\":\"object\"==typeof e||\"function\"==typeof e?u[l.call(e)]||\"object\":typeof e}var b=function(e,t){return new b.fn.init(e,t)};function w(e){var t=!!e&&\"length\"in e&&e.length,n=x(e);return!h(e)&&!g(e)&&(\"array\"===n||0===t||\"number\"==typeof t&&t>0&&t-1 in e)}b.fn=b.prototype={jquery:\"3.5.0\",constructor:b,length:0,toArray:function(){return i.call(this)},get:function(e){return null==e?i.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=b.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return b.each(this,e)},map:function(e){return this.pushStack(b.map(this,(function(t,n){return e.call(t,n,t)})))},slice:function(){return this.pushStack(i.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(b.grep(this,(function(e,t){return(t+1)%2})))},odd:function(){return this.pushStack(b.grep(this,(function(e,t){return t%2})))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(n>=0&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:a,sort:n.sort,splice:n.splice},b.extend=b.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for(\"boolean\"==typeof a&&(l=a,a=arguments[s]||{},s++),\"object\"==typeof a||h(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],\"__proto__\"!==t&&a!==r&&(l&&r&&(b.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||b.isPlainObject(n)?n:{},i=!1,a[t]=b.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},b.extend({expando:\"jQuery\"+(\"3.5.0\"+Math.random()).replace(/\\D/g,\"\"),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||\"[object Object]\"!==l.call(e))&&(!(t=r(e))||\"function\"==typeof(n=c.call(t,\"constructor\")&&t.constructor)&&f.call(n)===p)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){m(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(w(e))for(n=e.length;r<n&&!1!==t.call(e[r],r,e[r]);r++);else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(w(Object(e))?b.merge(n,\"string\"==typeof e?[e]:e):a.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:s.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,a=0,s=[];if(w(e))for(r=e.length;a<r;a++)null!=(i=t(e[a],a,n))&&s.push(i);else for(a in e)null!=(i=t(e[a],a,n))&&s.push(i);return o(s)},guid:1,support:d}),\"function\"==typeof Symbol&&(b.fn[Symbol.iterator]=n[Symbol.iterator]),b.each(\"Boolean Number String Function Array Date RegExp Object Error Symbol\".split(\" \"),(function(e,t){u[\"[object \"+t+\"]\"]=t.toLowerCase()}));var T=\n",
+       "      /*!\n",
+       "               * Sizzle CSS Selector Engine v2.3.5\n",
+       "               * https://sizzlejs.com/\n",
+       "               *\n",
+       "               * Copyright JS Foundation and other contributors\n",
+       "               * Released under the MIT license\n",
+       "               * https://js.foundation/\n",
+       "               *\n",
+       "               * Date: 2020-03-14\n",
+       "               */\n",
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+       "      445: function _(t,i,n){function o(){var t=!1,i=!1;this.stopPropagation=function(){t=!0},this.isPropagationStopped=function(){return t},this.stopImmediatePropagation=function(){i=!0},this.isImmediatePropagationStopped=function(){return i}}function e(){this.__nonDataRow=!0}function r(){this.__group=!0,this.level=0,this.count=0,this.value=null,this.title=null,this.collapsed=!1,this.selectChecked=!1,this.totals=null,this.rows=[],this.groups=null,this.groupingKey=null}function s(){this.__groupTotals=!0,this.group=null,this.initialized=!1}function l(){var t=null;this.isActive=function(i){return i?t===i:null!==t},this.activate=function(i){if(i!==t){if(null!==t)throw new Error(\"SlickGrid.EditorLock.activate: an editController is still active, can't activate another editController\");if(!i.commitCurrentEdit)throw new Error(\"SlickGrid.EditorLock.activate: editController must implement .commitCurrentEdit()\");if(!i.cancelCurrentEdit)throw new Error(\"SlickGrid.EditorLock.activate: editController must implement .cancelCurrentEdit()\");t=i}},this.deactivate=function(i){if(t!==i)throw new Error(\"SlickGrid.EditorLock.deactivate: specified editController is not the currently active one\");t=null},this.commitCurrentEdit=function(){return!t||t.commitCurrentEdit()},this.cancelCurrentEdit=function(){return!t||t.cancelCurrentEdit()}}r.prototype=new e,r.prototype.equals=function(t){return this.value===t.value&&this.count===t.count&&this.collapsed===t.collapsed&&this.title===t.title},s.prototype=new e,i.exports={Event:function(){var t=[];this.subscribe=function(i){t.push(i)},this.unsubscribe=function(i){for(var n=t.length-1;n>=0;n--)t[n]===i&&t.splice(n,1)},this.notify=function(i,n,e){var r;n=n||new o,e=e||this;for(var s=0;s<t.length&&!n.isPropagationStopped()&&!n.isImmediatePropagationStopped();s++)r=t[s].call(e,n,i);return r}},EventData:o,EventHandler:function(){var t=[];this.subscribe=function(i,n){return t.push({event:i,handler:n}),i.subscribe(n),this},this.unsubscribe=function(i,n){for(var o=t.length;o--;)if(t[o].event===i&&t[o].handler===n)return t.splice(o,1),void i.unsubscribe(n);return this},this.unsubscribeAll=function(){for(var i=t.length;i--;)t[i].event.unsubscribe(t[i].handler);return t=[],this}},Range:function(t,i,n,o){void 0===n&&void 0===o&&(n=t,o=i),this.fromRow=Math.min(t,n),this.fromCell=Math.min(i,o),this.toRow=Math.max(t,n),this.toCell=Math.max(i,o),this.isSingleRow=function(){return this.fromRow==this.toRow},this.isSingleCell=function(){return this.fromRow==this.toRow&&this.fromCell==this.toCell},this.contains=function(t,i){return t>=this.fromRow&&t<=this.toRow&&i>=this.fromCell&&i<=this.toCell},this.toString=function(){return this.isSingleCell()?\"(\"+this.fromRow+\":\"+this.fromCell+\")\":\"(\"+this.fromRow+\":\"+this.fromCell+\" - \"+this.toRow+\":\"+this.toCell+\")\"}},NonDataRow:e,Group:r,GroupTotals:s,EditorLock:l,GlobalEditorLock:new l,keyCode:{BACKSPACE:8,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,ESC:27,HOME:36,INSERT:45,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,RIGHT:39,TAB:9,UP:38,C:67,V:86},preClickClassName:\"slick-edit-preclick\"}},\n",
+       "      446: function _(e,t,o){var l=e(443),c=e(445);t.exports={CheckboxSelectColumn:function(e){var t,o=g(),n=new c.EventHandler,i={},r=!1,d=l.extend(!0,{},{columnId:\"_checkbox_selector\",cssClass:null,hideSelectAllCheckbox:!1,toolTip:\"Select/Deselect All\",width:30,hideInColumnTitleRow:!1,hideInFilterHeaderRow:!0},e);function a(){t.updateColumnHeader(d.columnId,\"\",\"\")}function s(){l(\"#filter-checkbox-selectall-container\").hide()}function u(e,c){var n,a,s=t.getSelectedRows(),u={};for(a=0;a<s.length;a++)u[n=s[a]]=!0,u[n]!==i[n]&&(t.invalidateRow(n),delete i[n]);for(a in i)t.invalidateRow(a);(i=u,t.render(),r=s.length&&s.length==t.getDataLength(),d.hideInColumnTitleRow||d.hideSelectAllCheckbox||(r?t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox' checked='checked'><label for='header-selector\"+o+\"'></label>\",d.toolTip):t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",d.toolTip)),d.hideInFilterHeaderRow)||l(\"#header-filter-selector\"+o).prop(\"checked\",r)}function h(e,o){32==e.which&&t.getColumns()[o.cell].id===d.columnId&&(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit()||p(o.row),e.preventDefault(),e.stopImmediatePropagation())}function f(e,o){if(t.getColumns()[o.cell].id===d.columnId&&l(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();p(o.row),e.stopPropagation(),e.stopImmediatePropagation()}}function p(e){i[e]?t.setSelectedRows(l.grep(t.getSelectedRows(),(function(t){return t!=e}))):t.setSelectedRows(t.getSelectedRows().concat(e)),t.setActiveCell(e,function(){if(null===m){m=0;for(var e=t.getColumns(),o=0;o<e.length;o++)e[o].id==d.columnId&&(m=o)}return m}()),t.focus()}function b(e,o){if(o.column.id==d.columnId&&l(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();if(l(e.target).is(\":checked\")){for(var c=[],n=0;n<t.getDataLength();n++)c.push(n);t.setSelectedRows(c)}else t.setSelectedRows([]);e.stopPropagation(),e.stopImmediatePropagation()}}var m=null;function g(){return Math.round(1e7*Math.random())}function k(e,t,o,l,c){var n=g()+e;return c?i[e]?\"<input id='selector\"+n+\"' type='checkbox' checked='checked'><label for='selector\"+n+\"'></label>\":\"<input id='selector\"+n+\"' type='checkbox'><label for='selector\"+n+\"'></label>\":null}l.extend(this,{init:function(e){t=e,n.subscribe(t.onSelectedRowsChanged,u).subscribe(t.onClick,f).subscribe(t.onKeyDown,h),d.hideInFilterHeaderRow||function(e){e.onHeaderRowCellRendered.subscribe((function(e,t){\"sel\"===t.column.field&&(l(t.node).empty(),l(\"<span id='filter-checkbox-selectall-container'><input id='header-filter-selector\"+o+\"' type='checkbox'><label for='header-filter-selector\"+o+\"'></label></span>\").appendTo(t.node).on(\"click\",(function(e){b(e,t)})))}))}(e),d.hideInColumnTitleRow||n.subscribe(t.onHeaderClick,b)},destroy:function(){n.unsubscribeAll()},deSelectRows:function(e){var o,c=e.length,n=[];for(o=0;o<c;o++)i[e[o]]&&(n[n.length]=e[o]);t.setSelectedRows(l.grep(t.getSelectedRows(),(function(e){return n.indexOf(e)<0})))},selectRows:function(e){var o,l=e.length,c=[];for(o=0;o<l;o++)i[e[o]]||(c[c.length]=e[o]);t.setSelectedRows(t.getSelectedRows().concat(c))},getColumnDefinition:function(){return{id:d.columnId,name:d.hideSelectAllCheckbox||d.hideInColumnTitleRow?\"\":\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",toolTip:d.toolTip,field:\"sel\",width:d.width,resizable:!1,sortable:!1,cssClass:d.cssClass,hideSelectAllCheckbox:d.hideSelectAllCheckbox,formatter:k}},getOptions:function(){return d},setOptions:function(e){if((d=l.extend(!0,{},d,e)).hideSelectAllCheckbox)a(),s();else if(d.hideInColumnTitleRow?a():(r?t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox' checked='checked'><label for='header-selector\"+o+\"'></label>\",d.toolTip):t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",d.toolTip),n.subscribe(t.onHeaderClick,b)),d.hideInFilterHeaderRow)s();else{var c=l(\"#filter-checkbox-selectall-container\");c.show(),c.find('input[type=\"checkbox\"]').prop(\"checked\",r)}}})}}},\n",
+       "      447: function _(e,t,o){var l=e(443),n=e(445),a=n.keyCode;t.exports={CellExternalCopyManager:function(e){var t,o,r=this,i=e||{},s=i.copiedCellStyleLayerKey||\"copy-manager\",u=i.copiedCellStyle||\"copied\",c=0,d=i.bodyElement||document.body,f=i.onCopyInit||null,h=i.onCopySuccess||null;function C(e){if(i.headerColumnValueExtractor){var t=i.headerColumnValueExtractor(e);if(t)return t}return e.name}function m(e,o,n){if(i.dataItemColumnValueExtractor){var a=i.dataItemColumnValueExtractor(e,o);if(a)return a}var r=\"\";if(o.editor){var s={container:l(\"<p>\"),column:o,position:{top:0,left:0},grid:t,event:n},u=new o.editor(s);u.loadValue(e),r=u.serializeValue(),u.destroy()}else r=e[o.field];return r}function g(e,o,n){if(i.dataItemColumnValueSetter)return i.dataItemColumnValueSetter(e,o,n);if(o.editor){var a={container:l(\"body\"),column:o,position:{top:0,left:0},grid:t},r=new o.editor(a);r.loadValue(e),r.applyValue(e,n),r.destroy()}else e[o.field]=n}function p(e){var t=document.createElement(\"textarea\");return t.style.position=\"absolute\",t.style.left=\"-1000px\",t.style.top=document.body.scrollTop+\"px\",t.value=e,d.appendChild(t),t.select(),t}function y(e,l){var n;if(!t.getEditorLock().isActive()||t.getOptions().autoEdit){if(e.which==a.ESC&&o&&(e.preventDefault(),w(),r.onCopyCancelled.notify({ranges:o}),o=null),(e.which===a.C||e.which===a.INSERT)&&(e.ctrlKey||e.metaKey)&&!e.shiftKey&&(f&&f.call(),0!=(n=t.getSelectionModel().getSelectedRanges()).length)){o=n,v(n),r.onCopyCells.notify({ranges:n});for(var s=t.getColumns(),u=\"\",c=0;c<n.length;c++){for(var y=n[c],D=[],S=y.fromRow;S<y.toRow+1;S++){var R=[],x=t.getDataItem(S);if(\"\"==D&&i.includeHeaderWhenCopying){for(var V=[],E=y.fromCell;E<y.toCell+1;E++)s[E].name.length>0&&V.push(C(s[E]));D.push(V.join(\"\\t\"))}for(E=y.fromCell;E<y.toCell+1;E++)R.push(m(x,s[E],e));D.push(R.join(\"\\t\"))}u+=D.join(\"\\r\\n\")+\"\\r\\n\"}if(window.clipboardData)return window.clipboardData.setData(\"Text\",u),!0;var b=document.activeElement;if((M=p(u)).focus(),setTimeout((function(){d.removeChild(M),b?b.focus():console.log(\"Not element to restore focus to after copy?\")}),100),h){var I=0;I=1===n.length?n[0].toRow+1-n[0].fromRow:n.length,h.call(this,I)}return!1}if(!i.readOnlyMode&&(e.which===a.V&&(e.ctrlKey||e.metaKey)&&!e.shiftKey||e.which===a.INSERT&&e.shiftKey&&!e.ctrlKey)){var M=p(\"\");return setTimeout((function(){!function(e,t){var o=e.getColumns(),l=t.value.split(/[\\n\\f\\r]/);\"\"==l[l.length-1]&&l.pop();var n=[],a=0;d.removeChild(t);for(var s=0;s<l.length;s++)\"\"!=l[s]?n[a++]=l[s].split(\"\\t\"):n[s]=[\"\"];var u=e.getActiveCell(),c=e.getSelectionModel().getSelectedRanges(),f=c&&c.length?c[0]:null,h=null,C=null;if(f)h=f.fromRow,C=f.fromCell;else{if(!u)return;h=u.row,C=u.cell}var m=!1,p=n.length,y=n.length?n[0].length:0;1==n.length&&1==n[0].length&&f&&(m=!0,p=f.toRow-f.fromRow+1,y=f.toCell-f.fromCell+1);var w=e.getData().length-h,D=0;if(w<p&&i.newRowCreator){var S=e.getData();for(D=1;D<=p-w;D++)S.push({});e.setData(S),e.render()}var R=h+p>e.getDataLength();if(i.newRowCreator&&R){var x=h+p-e.getDataLength();i.newRowCreator(x)}var V={isClipboardCommand:!0,clippedRange:n,oldValues:[],cellExternalCopyManager:r,_options:i,setDataItemValueForColumn:g,markCopySelection:v,oneCellToMultiple:m,activeRow:h,activeCell:C,destH:p,destW:y,maxDestY:e.getDataLength(),maxDestX:e.getColumns().length,h:0,w:0,execute:function(){this.h=0;for(var t=0;t<this.destH;t++){this.oldValues[t]=[],this.w=0,this.h++;for(var l=0;l<this.destW;l++){this.w++;var a=h+t,r=C+l;if(a<this.maxDestY&&r<this.maxDestX){e.getCellNode(a,r);var i=e.getDataItem(a);this.oldValues[t][l]=i[o[r].field],m?this.setDataItemValueForColumn(i,o[r],n[0][0]):this.setDataItemValueForColumn(i,o[r],n[t]?n[t][l]:\"\"),e.updateCell(a,r),e.onCellChange.notify({row:a,cell:r,item:i,grid:e})}}}var s={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};this.markCopySelection([s]),e.getSelectionModel().setSelectedRanges([s]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[s]})},undo:function(){for(var t=0;t<this.destH;t++)for(var l=0;l<this.destW;l++){var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var r=e.getDataItem(n);m?this.setDataItemValueForColumn(r,o[a],this.oldValues[0][0]):this.setDataItemValueForColumn(r,o[a],this.oldValues[t][l]),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:r,grid:e})}}var i={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};if(this.markCopySelection([i]),e.getSelectionModel().setSelectedRanges([i]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[i]}),D>1){for(var s=e.getData();D>1;D--)s.splice(s.length-1,1);e.setData(s),e.render()}}};i.clipboardCommandHandler?i.clipboardCommandHandler(V):V.execute()}(t,M)}),100),!1}}}function v(e){w();for(var o=t.getColumns(),l={},n=0;n<e.length;n++)for(var a=e[n].fromRow;a<=e[n].toRow;a++){l[a]={};for(var i=e[n].fromCell;i<=e[n].toCell&&i<o.length;i++)l[a][o[i].id]=u}t.setCellCssStyles(s,l),clearTimeout(c),c=setTimeout((function(){r.clearCopySelection()}),2e3)}function w(){t.removeCellCssStyles(s)}l.extend(this,{init:function(e){(t=e).onKeyDown.subscribe(y);var o=e.getSelectionModel();if(!o)throw new Error(\"Selection model is mandatory for this plugin. Please set a selection model on the grid before adding this plugin: grid.setSelectionModel(new Slick.CellSelectionModel())\");o.onSelectedRangesChanged.subscribe((function(e,o){t.focus()}))},destroy:function(){t.onKeyDown.unsubscribe(y)},clearCopySelection:w,handleKeyDown:y,onCopyCells:new n.Event,onCopyCancelled:new n.Event,onPasteCells:new n.Event,setIncludeHeaderWhenCopying:function(e){i.includeHeaderWhenCopying=e}})}}},\n",
+       "      448: function _(r,t,o){var _=r(1);_.__exportStar(r(445),t.exports),_.__exportStar(r(449),t.exports),_.__exportStar(r(452),t.exports),_.__exportStar(r(453),t.exports),_.__exportStar(r(454),t.exports),_.__exportStar(r(455),t.exports),_.__exportStar(r(456),t.exports)},\n",
+       "      449: function _(require,module,exports){\n",
+       "      /**\n",
+       "           * @license\n",
+       "           * (c) 2009-2016 Michael Leibman\n",
+       "           * michael{dot}leibman{at}gmail{dot}com\n",
+       "           * http://github.com/mleibman/slickgrid\n",
+       "           *\n",
+       "           * Distributed under MIT license.\n",
+       "           * All rights reserved.\n",
+       "           *\n",
+       "           * SlickGrid v2.3\n",
+       "           *\n",
+       "           * NOTES:\n",
+       "           *     Cell/row DOM manipulations are done directly bypassing jQuery's DOM manipulation methods.\n",
+       "           *     This increases the speed dramatically, but can only be done safely because there are no event handlers\n",
+       "           *     or data associated with any cell/row DOM nodes.  Cell editors must make sure they implement .destroy()\n",
+       "           *     and do proper cleanup.\n",
+       "           */\n",
+       "      var $=require(443),Slick=require(445),scrollbarDimensions,maxSupportedCssHeight;function SlickGrid(container,data,columns,options){$.fn.drag||require(450),$.fn.drop||require(451);var defaults={alwaysShowVerticalScroll:!1,explicitInitialization:!1,rowHeight:25,defaultColumnWidth:80,enableAddRow:!1,leaveSpaceForNewRows:!1,editable:!1,autoEdit:!0,suppressActiveCellChangeOnEdit:!1,enableCellNavigation:!0,enableColumnReorder:!0,asyncEditorLoading:!1,asyncEditorLoadDelay:100,forceFitColumns:!1,enableAsyncPostRender:!1,asyncPostRenderDelay:50,enableAsyncPostRenderCleanup:!1,asyncPostRenderCleanupDelay:40,autoHeight:!1,editorLock:Slick.GlobalEditorLock,showHeaderRow:!1,headerRowHeight:25,createFooterRow:!1,showFooterRow:!1,footerRowHeight:25,createPreHeaderPanel:!1,showPreHeaderPanel:!1,preHeaderPanelHeight:25,showTopPanel:!1,topPanelHeight:25,formatterFactory:null,editorFactory:null,cellFlashingCssClass:\"flashing\",selectedCellCssClass:\"selected\",multiSelect:!0,enableTextSelectionOnCells:!1,dataItemColumnValueExtractor:null,fullWidthRows:!1,multiColumnSort:!1,numberedMultiColumnSort:!1,tristateMultiColumnSort:!1,sortColNumberInSeparateSpan:!1,defaultFormatter,forceSyncScrolling:!1,addNewRowCssClass:\"new-row\",preserveCopiedSelectionOnPaste:!1,showCellSelection:!0,viewportClass:null,minRowBuffer:3,emulatePagingWhenScrolling:!0,editorCellNavOnLRKeys:!1},columnDefaults={name:\"\",resizable:!0,sortable:!1,minWidth:30,rerenderOnResize:!1,headerCssClass:null,defaultSortAsc:!0,focusable:!0,selectable:!0},th,h,ph,n,cj,page=0,offset=0,vScrollDir=1,initialized=!1,$container,uid=\"slickgrid_\"+Math.round(1e6*Math.random()),self=this,$focusSink,$focusSink2,$headerScroller,$headers,$headerRow,$headerRowScroller,$headerRowSpacer,$footerRow,$footerRowScroller,$footerRowSpacer,$preHeaderPanel,$preHeaderPanelScroller,$preHeaderPanelSpacer,$topPanelScroller,$topPanel,$viewport,$canvas,$style,$boundAncestors,stylesheet,columnCssRulesL,columnCssRulesR,viewportH,viewportW,canvasWidth,viewportHasHScroll,viewportHasVScroll,headerColumnWidthDiff=0,headerColumnHeightDiff=0,cellWidthDiff=0,cellHeightDiff=0,jQueryNewWidthBehaviour=!1,absoluteColumnMinWidth,tabbingDirection=1,activePosX,activeRow,activeCell,activeCellNode=null,currentEditor=null,serializedEditorValue,editController,rowsCache={},renderedRows=0,numVisibleRows,prevScrollTop=0,scrollTop=0,lastRenderedScrollTop=0,lastRenderedScrollLeft=0,prevScrollLeft=0,scrollLeft=0,selectionModel,selectedRows=[],plugins=[],cellCssClasses={},columnsById={},sortColumns=[],columnPosLeft=[],columnPosRight=[],pagingActive=!1,pagingIsLastPage=!1,scrollThrottle=ActionThrottle(render,50),h_editorLoader=null,h_render=null,h_postrender=null,h_postrenderCleanup=null,postProcessedRows={},postProcessToRow=null,postProcessFromRow=null,postProcessedCleanupQueue=[],postProcessgroupId=0,counter_rows_rendered=0,counter_rows_removed=0,rowNodeFromLastMouseWheelEvent,zombieRowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent,cssShow={position:\"absolute\",visibility:\"hidden\",display:\"block\"},$hiddenParents,oldProps=[],columnResizeDragging=!1;function init(){if(($container=container instanceof $?container:$(container)).length<1)throw new Error(\"SlickGrid requires a valid container, \"+container+\" does not exist in the DOM.\");cacheCssForHiddenInit(),maxSupportedCssHeight=maxSupportedCssHeight||getMaxSupportedCssHeight(),options=$.extend({},defaults,options),validateAndEnforceOptions(),columnDefaults.width=options.defaultColumnWidth,columnsById={};for(var e=0;e<columns.length;e++){var o=columns[e]=$.extend({},columnDefaults,columns[e]);columnsById[o.id]=e,o.minWidth&&o.width<o.minWidth&&(o.width=o.minWidth),o.maxWidth&&o.width>o.maxWidth&&(o.width=o.maxWidth)}if(options.enableColumnReorder&&!$.fn.sortable)throw new Error(\"SlickGrid's 'enableColumnReorder = true' option requires jquery-ui.sortable module to be loaded\");editController={commitCurrentEdit,cancelCurrentEdit},$container.empty().css(\"overflow\",\"hidden\").css(\"outline\",0).addClass(uid).addClass(\"ui-widget\"),/relative|absolute|fixed/.test($container.css(\"position\"))||$container.css(\"position\",\"relative\"),$focusSink=$(\"<div tabIndex='0' hideFocus style='position:fixed;width:0;height:0;top:0;left:0;outline:0;'></div>\").appendTo($container),options.createPreHeaderPanel&&($preHeaderPanelScroller=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($container),$preHeaderPanel=$(\"<div />\").appendTo($preHeaderPanelScroller),$preHeaderPanelSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScroller),options.showPreHeaderPanel||$preHeaderPanelScroller.hide()),$headerScroller=$(\"<div class='slick-header ui-state-default' />\").appendTo($container),$headers=$(\"<div class='slick-header-columns' style='left:-1000px' />\").appendTo($headerScroller),$headerRowScroller=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($container),$headerRow=$(\"<div class='slick-headerrow-columns' />\").appendTo($headerRowScroller),$headerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScroller),$topPanelScroller=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($container),$topPanel=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScroller),options.showTopPanel||$topPanelScroller.hide(),options.showHeaderRow||$headerRowScroller.hide(),($viewport=$(\"<div class='slick-viewport' style='width:100%;overflow:auto;outline:0;position:relative;;'>\").appendTo($container)).css(\"overflow-y\",options.alwaysShowVerticalScroll?\"scroll\":options.autoHeight?\"hidden\":\"auto\"),$viewport.css(\"overflow-x\",options.forceFitColumns?\"hidden\":\"auto\"),options.viewportClass&&$viewport.toggleClass(options.viewportClass,!0),$canvas=$(\"<div class='grid-canvas' />\").appendTo($viewport),scrollbarDimensions=scrollbarDimensions||measureScrollbar(),$preHeaderPanelSpacer&&$preHeaderPanelSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headers.width(getHeadersWidth()),$headerRowSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),options.createFooterRow&&($footerRowScroller=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($container),$footerRow=$(\"<div class='slick-footerrow-columns' />\").appendTo($footerRowScroller),$footerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScroller),options.showFooterRow||$footerRowScroller.hide()),$focusSink2=$focusSink.clone().appendTo($container),options.explicitInitialization||finishInitialization()}function finishInitialization(){initialized||(initialized=!0,viewportW=parseFloat($.css($container[0],\"width\",!0)),measureCellPaddingAndBorder(),disableSelection($headers),options.enableTextSelectionOnCells||$viewport.on(\"selectstart.ui\",(function(e){return $(e.target).is(\"input,textarea\")})),updateColumnCaches(),createColumnHeaders(),setupColumnSort(),createCssRules(),resizeCanvas(),bindAncestorScrollEvents(),$container.on(\"resize.slickgrid\",resizeCanvas),$viewport.on(\"scroll\",handleScroll),$headerScroller.on(\"contextmenu\",handleHeaderContextMenu).on(\"click\",handleHeaderClick).on(\"mouseenter\",\".slick-header-column\",handleHeaderMouseEnter).on(\"mouseleave\",\".slick-header-column\",handleHeaderMouseLeave),$headerRowScroller.on(\"scroll\",handleHeaderRowScroll),options.createFooterRow&&$footerRowScroller.on(\"scroll\",handleFooterRowScroll),options.createPreHeaderPanel&&$preHeaderPanelScroller.on(\"scroll\",handlePreHeaderPanelScroll),$focusSink.add($focusSink2).on(\"keydown\",handleKeyDown),$canvas.on(\"keydown\",handleKeyDown).on(\"click\",handleClick).on(\"dblclick\",handleDblClick).on(\"contextmenu\",handleContextMenu).on(\"draginit\",handleDragInit).on(\"dragstart\",{distance:3},handleDragStart).on(\"drag\",handleDrag).on(\"dragend\",handleDragEnd).on(\"mouseenter\",\".slick-cell\",handleMouseEnter).on(\"mouseleave\",\".slick-cell\",handleMouseLeave),navigator.userAgent.toLowerCase().match(/webkit/)&&navigator.userAgent.toLowerCase().match(/macintosh/)&&$canvas.on(\"mousewheel\",handleMouseWheel),restoreCssFromHiddenInit())}function cacheCssForHiddenInit(){($hiddenParents=$container.parents().addBack().not(\":visible\")).each((function(){var e={};for(var o in cssShow)e[o]=this.style[o],this.style[o]=cssShow[o];oldProps.push(e)}))}function restoreCssFromHiddenInit(){$hiddenParents.each((function(e){var o=oldProps[e];for(var t in cssShow)this.style[t]=o[t]}))}function registerPlugin(e){plugins.unshift(e),e.init(self)}function unregisterPlugin(e){for(var o=plugins.length;o>=0;o--)if(plugins[o]===e){plugins[o].destroy&&plugins[o].destroy(),plugins.splice(o,1);break}}function setSelectionModel(e){selectionModel&&(selectionModel.onSelectedRangesChanged.unsubscribe(handleSelectedRangesChanged),selectionModel.destroy&&selectionModel.destroy()),(selectionModel=e)&&(selectionModel.init(self),selectionModel.onSelectedRangesChanged.subscribe(handleSelectedRangesChanged))}function getSelectionModel(){return selectionModel}function getCanvasNode(){return $canvas[0]}function measureScrollbar(){var e=$('<div class=\"'+$viewport.className+'\" style=\"position:absolute; top:-10000px; left:-10000px; overflow:auto; width:100px; height:100px;\"></div>').appendTo($viewport),o=$('<div style=\"width:200px; height:200px; overflow:auto;\"></div>').appendTo(e),t={width:e[0].offsetWidth-e[0].clientWidth,height:e[0].offsetHeight-e[0].clientHeight};return o.remove(),e.remove(),t}function getColumnTotalWidth(e){for(var o=0,t=0,l=columns.length;t<l;t++){o+=columns[t].width}return e&&(o+=scrollbarDimensions.width),o}function getHeadersWidth(){var e=getColumnTotalWidth(!options.autoHeight);return Math.max(e,viewportW)+1e3}function getCanvasWidth(){for(var e=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,o=0,t=columns.length;t--;)o+=columns[t].width;return options.fullWidthRows?Math.max(o,e):o}function updateCanvasWidth(e){var o=canvasWidth;(canvasWidth=getCanvasWidth())!=o&&($canvas.width(canvasWidth),$headerRow.width(canvasWidth),options.createFooterRow&&$footerRow.width(canvasWidth),options.createPreHeaderPanel&&$preHeaderPanel.width(canvasWidth),$headers.width(getHeadersWidth()),viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width);var t=canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0);$headerRowSpacer.width(t),options.createFooterRow&&$footerRowSpacer.width(t),options.createPreHeaderPanel&&$preHeaderPanelSpacer.width(t),(canvasWidth!=o||e)&&applyColumnWidths()}function disableSelection(e){e&&e.jquery&&e.attr(\"unselectable\",\"on\").css(\"MozUserSelect\",\"none\").on(\"selectstart.ui\",(function(){return!1}))}function getMaxSupportedCssHeight(){for(var e=1e6,o=navigator.userAgent.toLowerCase().match(/firefox/)?6e6:1e9,t=$(\"<div style='display:none' />\").appendTo(document.body);;){var l=2*e;if(t.css(\"height\",l),l>o||t.height()!==l)break;e=l}return t.remove(),e}function getUID(){return uid}function getHeaderColumnWidthDiff(){return headerColumnWidthDiff}function getScrollbarDimensions(){return scrollbarDimensions}function bindAncestorScrollEvents(){for(var e=$canvas[0];(e=e.parentNode)!=document.body&&null!=e;)if(e==$viewport[0]||e.scrollWidth!=e.clientWidth||e.scrollHeight!=e.clientHeight){var o=$(e);$boundAncestors=$boundAncestors?$boundAncestors.add(o):o,o.on(\"scroll.\"+uid,handleActiveCellPositionChange)}}function unbindAncestorScrollEvents(){$boundAncestors&&($boundAncestors.off(\"scroll.\"+uid),$boundAncestors=null)}function updateColumnHeader(e,o,t){if(initialized){var l=getColumnIndex(e);if(null!=l){var n=columns[l],r=$headers.children().eq(l);r&&(void 0!==o&&(columns[l].name=o),void 0!==t&&(columns[l].toolTip=t),trigger(self.onBeforeHeaderCellDestroy,{node:r[0],column:n,grid:self}),r.attr(\"title\",t||\"\").children().eq(0).html(o),trigger(self.onHeaderCellRendered,{node:r[0],column:n,grid:self}))}}}function getHeader(){return $headers[0]}function getHeaderColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headers.children().eq(o);return t&&t[0]}function getHeaderRow(){return $headerRow[0]}function getFooterRow(){return $footerRow[0]}function getPreHeaderPanel(){return $preHeaderPanel[0]}function getHeaderRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headerRow.children().eq(o);return t&&t[0]}function getFooterRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$footerRow.children().eq(o);return t&&t[0]}function createColumnHeaders(){function e(){$(this).addClass(\"ui-state-hover\")}function o(){$(this).removeClass(\"ui-state-hover\")}$headers.find(\".slick-header-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderCellDestroy,{node:this,column:e,grid:self})})),$headers.empty(),$headers.width(getHeadersWidth()),$headerRow.find(\".slick-headerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderRowCellDestroy,{node:this,column:e,grid:self})})),$headerRow.empty(),options.createFooterRow&&($footerRow.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e})})),$footerRow.empty());for(var t=0;t<columns.length;t++){var l=columns[t],n=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+l.name+\"</span>\").width(l.width-headerColumnWidthDiff).attr(\"id\",\"\"+uid+l.id).attr(\"title\",l.toolTip||\"\").data(\"column\",l).addClass(l.headerCssClass||\"\").appendTo($headers);if((options.enableColumnReorder||l.sortable)&&n.on(\"mouseenter\",e).on(\"mouseleave\",o),l.sortable&&(n.addClass(\"slick-header-sortable\"),n.append(\"<span class='slick-sort-indicator\"+(options.numberedMultiColumnSort&&!options.sortColNumberInSeparateSpan?\" slick-sort-indicator-numbered\":\"\")+\"' />\"),options.numberedMultiColumnSort&&options.sortColNumberInSeparateSpan&&n.append(\"<span class='slick-sort-indicator-numbered' />\")),trigger(self.onHeaderCellRendered,{node:n[0],column:l,grid:self}),options.showHeaderRow){var r=$(\"<div class='ui-state-default slick-headerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($headerRow);trigger(self.onHeaderRowCellRendered,{node:r[0],column:l,grid:self})}if(options.createFooterRow&&options.showFooterRow){var i=$(\"<div class='ui-state-default slick-footerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($footerRow);trigger(self.onFooterRowCellRendered,{node:i[0],column:l})}}setSortColumns(sortColumns),setupColumnResize(),options.enableColumnReorder&&(\"function\"==typeof options.enableColumnReorder?options.enableColumnReorder(self,$headers,headerColumnWidthDiff,setColumns,setupColumnResize,columns,getColumnIndex,uid,trigger):setupColumnReorder())}function setupColumnSort(){$headers.click((function(e){if(!columnResizeDragging&&(e.metaKey=e.metaKey||e.ctrlKey,!$(e.target).hasClass(\"slick-resizable-handle\"))){var o=$(e.target).closest(\".slick-header-column\");if(o.length){var t=o.data(\"column\");if(t.sortable){if(!getEditorLock().commitCurrentEdit())return;for(var l=null,n=0;n<sortColumns.length;n++)if(sortColumns[n].columnId==t.id){(l=sortColumns[n]).sortAsc=!l.sortAsc;break}var r=!!l;options.tristateMultiColumnSort?(l||(l={columnId:t.id,sortAsc:t.defaultSortAsc}),r&&l.sortAsc&&(sortColumns.splice(n,1),l=null),options.multiColumnSort||(sortColumns=[]),!l||r&&options.multiColumnSort||sortColumns.push(l)):e.metaKey&&options.multiColumnSort?l&&sortColumns.splice(n,1):((e.shiftKey||e.metaKey)&&options.multiColumnSort||(sortColumns=[]),l?0==sortColumns.length&&sortColumns.push(l):(l={columnId:t.id,sortAsc:t.defaultSortAsc},sortColumns.push(l))),setSortColumns(sortColumns),options.multiColumnSort?trigger(self.onSort,{multiColumnSort:!0,sortCols:$.map(sortColumns,(function(e){return{sortCol:columns[getColumnIndex(e.columnId)],sortAsc:e.sortAsc}}))},e):trigger(self.onSort,{multiColumnSort:!1,sortCol:sortColumns.length>0?t:null,sortAsc:!(sortColumns.length>0)||sortColumns[0].sortAsc},e)}}}}))}function setupColumnReorder(){$headers.filter(\":ui-sortable\").sortable(\"destroy\"),$headers.sortable({containment:\"parent\",distance:3,axis:\"x\",cursor:\"default\",tolerance:\"intersection\",helper:\"clone\",placeholder:\"slick-sortable-placeholder ui-state-default slick-header-column\",start:function(e,o){o.placeholder.width(o.helper.outerWidth()-headerColumnWidthDiff),$(o.helper).addClass(\"slick-header-column-active\")},beforeStop:function(e,o){$(o.helper).removeClass(\"slick-header-column-active\")},stop:function(e){if(getEditorLock().commitCurrentEdit()){for(var o=$headers.sortable(\"toArray\"),t=[],l=0;l<o.length;l++)t.push(columns[getColumnIndex(o[l].replace(uid,\"\"))]);setColumns(t),trigger(self.onColumnsReordered,{}),e.stopPropagation(),setupColumnResize()}else $(this).sortable(\"cancel\")}})}function setupColumnResize(){var e,o,t,l,n,r,i,s;(l=$headers.children()).find(\".slick-resizable-handle\").remove(),l.each((function(e,o){e>=columns.length||columns[e].resizable&&(void 0===i&&(i=e),s=e)})),void 0!==i&&l.each((function(a,c){a>=columns.length||a<i||options.forceFitColumns&&a>=s||($(c),$(\"<div class='slick-resizable-handle' />\").appendTo(c).on(\"dragstart\",(function(i,s){if(!getEditorLock().commitCurrentEdit())return!1;t=i.pageX,$(this).parent().addClass(\"slick-header-column-active\");var c=null,d=null;if(l.each((function(e,o){e>=columns.length||(columns[e].previousWidth=$(o).outerWidth())})),options.forceFitColumns)for(c=0,d=0,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(null!==d&&(o.maxWidth?d+=o.maxWidth-o.previousWidth:d=null),c+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));var u=0,h=0;for(e=0;e<=a;e++)(o=columns[e]).resizable&&(null!==h&&(o.maxWidth?h+=o.maxWidth-o.previousWidth:h=null),u+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));null===c&&(c=1e5),null===u&&(u=1e5),null===d&&(d=1e5),null===h&&(h=1e5),r=t+Math.min(c,h),n=t-Math.min(u,d)})).on(\"drag\",(function(l,i){columnResizeDragging=!0;var s,c,d=Math.min(r,Math.max(n,l.pageX))-t;if(d<0){for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0))}else{for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0))}applyColumnHeaderWidths(),options.syncColumnCellResize&&applyColumnWidths()})).on(\"dragend\",(function(t,n){var r;for($(this).parent().removeClass(\"slick-header-column-active\"),e=0;e<columns.length;e++)o=columns[e],r=$(l[e]).outerWidth(),o.previousWidth!==r&&o.rerenderOnResize&&invalidateAllRows();updateCanvasWidth(!0),render(),trigger(self.onColumnsResized,{}),setTimeout((function(){columnResizeDragging=!1}),300)})))}))}function getVBoxDelta(e){var o=0;return $.each([\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],(function(t,l){o+=parseFloat(e.css(l))||0})),o}function measureCellPaddingAndBorder(){var e,o=[\"borderLeftWidth\",\"borderRightWidth\",\"paddingLeft\",\"paddingRight\"],t=[\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],l=$.fn.jquery.split(\".\");jQueryNewWidthBehaviour=1==l[0]&&l[1]>=8||l[0]>=2,e=$(\"<div class='ui-state-default slick-header-column' style='visibility:hidden'>-</div>\").appendTo($headers),headerColumnWidthDiff=headerColumnHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){headerColumnWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){headerColumnHeightDiff+=parseFloat(e.css(t))||0}))),e.remove();var n=$(\"<div class='slick-row' />\").appendTo($canvas);e=$(\"<div class='slick-cell' id='' style='visibility:hidden'>-</div>\").appendTo(n),cellWidthDiff=cellHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){cellWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){cellHeightDiff+=parseFloat(e.css(t))||0}))),n.remove(),absoluteColumnMinWidth=Math.max(headerColumnWidthDiff,cellWidthDiff)}function createCssRules(){$style=$(\"<style type='text/css' rel='stylesheet' />\").appendTo($(\"head\"));for(var e=options.rowHeight-cellHeightDiff,o=[\".\"+uid+\" .slick-header-column { left: 1000px; }\",\".\"+uid+\" .slick-top-panel { height:\"+options.topPanelHeight+\"px; }\",\".\"+uid+\" .slick-preheader-panel { height:\"+options.preHeaderPanelHeight+\"px; }\",\".\"+uid+\" .slick-headerrow-columns { height:\"+options.headerRowHeight+\"px; }\",\".\"+uid+\" .slick-footerrow-columns { height:\"+options.footerRowHeight+\"px; }\",\".\"+uid+\" .slick-cell { height:\"+e+\"px; }\",\".\"+uid+\" .slick-row { height:\"+options.rowHeight+\"px; }\"],t=0;t<columns.length;t++)o.push(\".\"+uid+\" .l\"+t+\" { }\"),o.push(\".\"+uid+\" .r\"+t+\" { }\");$style[0].styleSheet?$style[0].styleSheet.cssText=o.join(\" \"):$style[0].appendChild(document.createTextNode(o.join(\" \")))}function getColumnCssRules(e){var o;if(!stylesheet){var t=document.styleSheets;for(o=0;o<t.length;o++)if((t[o].ownerNode||t[o].owningElement)==$style[0]){stylesheet=t[o];break}if(!stylesheet)throw new Error(\"Cannot find stylesheet.\");columnCssRulesL=[],columnCssRulesR=[];var l,n,r=stylesheet.cssRules||stylesheet.rules;for(o=0;o<r.length;o++){var i=r[o].selectorText;(l=/\\.l\\d+/.exec(i))?(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesL[n]=r[o]):(l=/\\.r\\d+/.exec(i))&&(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesR[n]=r[o])}}return{left:columnCssRulesL[e],right:columnCssRulesR[e]}}function removeCssRules(){$style.remove(),stylesheet=null}function destroy(){getEditorLock().cancelCurrentEdit(),trigger(self.onBeforeDestroy,{});for(var e=plugins.length;e--;)unregisterPlugin(plugins[e]);options.enableColumnReorder&&$headers.filter(\":ui-sortable\").sortable(\"destroy\"),unbindAncestorScrollEvents(),$container.off(\".slickgrid\"),removeCssRules(),$canvas.off(\"draginit dragstart dragend drag\"),$container.empty().removeClass(uid)}function trigger(e,o,t){return t=t||new Slick.EventData,(o=o||{}).grid=self,e.notify(o,t,self)}function getEditorLock(){return options.editorLock}function getEditController(){return editController}function getColumnIndex(e){return columnsById[e]}function autosizeColumns(){var e,o,t,l=[],n=0,r=0,i=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW;for(e=0;e<columns.length;e++)o=columns[e],l.push(o.width),r+=o.width,o.resizable&&(n+=o.width-Math.max(o.minWidth,absoluteColumnMinWidth));for(t=r;r>i&&n;){var s=(r-i)/n;for(e=0;e<columns.length&&r>i;e++){o=columns[e];var a=l[e];if(!(!o.resizable||a<=o.minWidth||a<=absoluteColumnMinWidth)){var c=Math.max(o.minWidth,absoluteColumnMinWidth),d=Math.floor(s*(a-c))||1;r-=d=Math.min(d,a-c),n-=d,l[e]-=d}}if(t<=r)break;t=r}for(t=r;r<i;){var u=i/r;for(e=0;e<columns.length&&r<i;e++){o=columns[e];var h,p=l[e];r+=h=!o.resizable||o.maxWidth<=p?0:Math.min(Math.floor(u*p)-p,o.maxWidth-p||1e6)||1,l[e]+=r<=i?h:0}if(t>=r)break;t=r}var g=!1;for(e=0;e<columns.length;e++)columns[e].rerenderOnResize&&columns[e].width!=l[e]&&(g=!0),columns[e].width=l[e];applyColumnHeaderWidths(),updateCanvasWidth(!0),trigger(self.onAutosizeColumns,{columns}),g&&(invalidateAllRows(),render())}function applyColumnHeaderWidths(){if(initialized){for(var e,o=0,t=$headers.children(),l=columns.length;o<l;o++)e=$(t[o]),jQueryNewWidthBehaviour?e.outerWidth()!==columns[o].width&&e.outerWidth(columns[o].width):e.width()!==columns[o].width-headerColumnWidthDiff&&e.width(columns[o].width-headerColumnWidthDiff);updateColumnCaches()}}function applyColumnWidths(){for(var e,o,t=0,l=0;l<columns.length;l++)e=columns[l].width,(o=getColumnCssRules(l)).left.style.left=t+\"px\",o.right.style.right=canvasWidth-t-e+\"px\",t+=columns[l].width}function setSortColumn(e,o){setSortColumns([{columnId:e,sortAsc:o}])}function setSortColumns(e){sortColumns=e;var o=options.numberedMultiColumnSort&&sortColumns.length>1,t=$headers.children();t.removeClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").removeClass(\"slick-sort-indicator-asc slick-sort-indicator-desc\"),t.find(\".slick-sort-indicator-numbered\").text(\"\"),$.each(sortColumns,(function(e,l){null==l.sortAsc&&(l.sortAsc=!0);var n=getColumnIndex(l.columnId);null!=n&&(t.eq(n).addClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").addClass(l.sortAsc?\"slick-sort-indicator-asc\":\"slick-sort-indicator-desc\"),o&&t.eq(n).find(\".slick-sort-indicator-numbered\").text(e+1))}))}function getSortColumns(){return sortColumns}function handleSelectedRangesChanged(e,o){selectedRows=[];for(var t={},l=0;l<o.length;l++)for(var n=o[l].fromRow;n<=o[l].toRow;n++){t[n]||(selectedRows.push(n),t[n]={});for(var r=o[l].fromCell;r<=o[l].toCell;r++)canCellBeSelected(n,r)&&(t[n][columns[r].id]=options.selectedCellCssClass)}setCellCssStyles(options.selectedCellCssClass,t),trigger(self.onSelectedRowsChanged,{rows:getSelectedRows()},e)}function getColumns(){return columns}function updateColumnCaches(){columnPosLeft=[],columnPosRight=[];for(var e=0,o=0,t=columns.length;o<t;o++)columnPosLeft[o]=e,columnPosRight[o]=e+columns[o].width,e+=columns[o].width}function setColumns(e){columns=e,columnsById={};for(var o=0;o<columns.length;o++){var t=columns[o]=$.extend({},columnDefaults,columns[o]);columnsById[t.id]=o,t.minWidth&&t.width<t.minWidth&&(t.width=t.minWidth),t.maxWidth&&t.width>t.maxWidth&&(t.width=t.maxWidth)}updateColumnCaches(),initialized&&(invalidateAllRows(),createColumnHeaders(),removeCssRules(),createCssRules(),resizeCanvas(),applyColumnWidths(),handleScroll())}function getOptions(){return options}function setOptions(e,o){getEditorLock().commitCurrentEdit()&&(makeActiveCellNormal(),options.enableAddRow!==e.enableAddRow&&invalidateRow(getDataLength()),options=$.extend(options,e),validateAndEnforceOptions(),$viewport.css(\"overflow-y\",options.autoHeight?\"hidden\":\"auto\"),o||render())}function validateAndEnforceOptions(){options.autoHeight&&(options.leaveSpaceForNewRows=!1)}function setData(e,o){data=e,invalidateAllRows(),updateRowCount(),o&&scrollTo(0)}function getData(){return data}function getDataLength(){return data.getLength?data.getLength():data.length}function getDataLengthIncludingAddNew(){return getDataLength()+(options.enableAddRow&&(!pagingActive||pagingIsLastPage)?1:0)}function getDataItem(e){return data.getItem?data.getItem(e):data[e]}function getTopPanel(){return $topPanel[0]}function setTopPanelVisibility(e){options.showTopPanel!=e&&(options.showTopPanel=e,e?$topPanelScroller.slideDown(\"fast\",resizeCanvas):$topPanelScroller.slideUp(\"fast\",resizeCanvas))}function setHeaderRowVisibility(e){options.showHeaderRow!=e&&(options.showHeaderRow=e,e?$headerRowScroller.slideDown(\"fast\",resizeCanvas):$headerRowScroller.slideUp(\"fast\",resizeCanvas))}function setFooterRowVisibility(e){options.showFooterRow!=e&&(options.showFooterRow=e,e?$footerRowScroller.slideDown(\"fast\",resizeCanvas):$footerRowScroller.slideUp(\"fast\",resizeCanvas))}function setPreHeaderPanelVisibility(e){options.showPreHeaderPanel!=e&&(options.showPreHeaderPanel=e,e?$preHeaderPanelScroller.slideDown(\"fast\",resizeCanvas):$preHeaderPanelScroller.slideUp(\"fast\",resizeCanvas))}function getContainerNode(){return $container.get(0)}function getRowTop(e){return options.rowHeight*e-offset}function getRowFromPosition(e){return Math.floor((e+offset)/options.rowHeight)}function scrollTo(e){e=Math.max(e,0),e=Math.min(e,th-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0));var o=offset;page=Math.min(n-1,Math.floor(e/ph));var t=e-(offset=Math.round(page*cj));offset!=o&&(cleanupRows(getVisibleRange(t)),updateRowPositions());prevScrollTop!=t&&(vScrollDir=prevScrollTop+o<t+offset?1:-1,$viewport[0].scrollTop=lastRenderedScrollTop=scrollTop=prevScrollTop=t,trigger(self.onViewportChanged,{}))}function defaultFormatter(e,o,t,l,n,r){return null==t?\"\":(t+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}function getFormatter(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e),l=t&&t.columns&&(t.columns[o.id]||t.columns[getColumnIndex(o.id)]);return l&&l.formatter||t&&t.formatter||o.formatter||options.formatterFactory&&options.formatterFactory.getFormatter(o)||options.defaultFormatter}function getEditor(e,o){var t=columns[o],l=data.getItemMetadata&&data.getItemMetadata(e),n=l&&l.columns;return n&&n[t.id]&&void 0!==n[t.id].editor?n[t.id].editor:n&&n[o]&&void 0!==n[o].editor?n[o].editor:t.editor||options.editorFactory&&options.editorFactory.getEditor(t)}function getDataItemValueForColumn(e,o){return options.dataItemColumnValueExtractor?options.dataItemColumnValueExtractor(e,o):e[o.field]}function appendRowHtml(e,o,t,l){var n=getDataItem(o),r=\"slick-row\"+(o<l&&!n?\" loading\":\"\")+(o===activeRow&&options.showCellSelection?\" active\":\"\")+(o%2==1?\" odd\":\" even\");n||(r+=\" \"+options.addNewRowCssClass);var i,s,a=data.getItemMetadata&&data.getItemMetadata(o);a&&a.cssClasses&&(r+=\" \"+a.cssClasses),e.push(\"<div class='ui-widget-content \"+r+\"' style='top:\"+getRowTop(o)+\"px'>\");for(var c=0,d=columns.length;c<d;c++){if(s=columns[c],i=1,a&&a.columns){var u=a.columns[s.id]||a.columns[c];\"*\"===(i=u&&u.colspan||1)&&(i=d-c)}if(columnPosRight[Math.min(d-1,c+i-1)]>t.leftPx){if(columnPosLeft[c]>t.rightPx)break;appendCellHtml(e,o,c,i,n)}i>1&&(c+=i-1)}e.push(\"</div>\")}function appendCellHtml(e,o,t,l,n){var r=columns[t],i=\"slick-cell l\"+t+\" r\"+Math.min(columns.length-1,t+l-1)+(r.cssClass?\" \"+r.cssClass:\"\");for(var s in o===activeRow&&t===activeCell&&options.showCellSelection&&(i+=\" active\"),cellCssClasses)cellCssClasses[s][o]&&cellCssClasses[s][o][r.id]&&(i+=\" \"+cellCssClasses[s][o][r.id]);var a=null,c=\"\";n&&(a=getDataItemValueForColumn(n,r),null==(c=getFormatter(o,r)(o,t,a,r,n,self))&&(c=\"\"));var d=trigger(self.onBeforeAppendCell,{row:o,cell:t,value:a,dataContext:n})||\"\";d+=c&&c.addClasses?(d?\" \":\"\")+c.addClasses:\"\",e.push(\"<div class='\"+i+(d?\" \"+d:\"\")+\"'>\"),n&&e.push(\"[object Object]\"!==Object.prototype.toString.call(c)?c:c.text),e.push(\"</div>\"),rowsCache[o].cellRenderQueue.push(t),rowsCache[o].cellColSpans[t]=l}function cleanupRows(e){for(var o in rowsCache)(o=parseInt(o,10))!==activeRow&&(o<e.top||o>e.bottom)&&removeRowFromCache(o);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function invalidate(){updateRowCount(),invalidateAllRows(),render()}function invalidateAllRows(){for(var e in currentEditor&&makeActiveCellNormal(),rowsCache)removeRowFromCache(e);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function queuePostProcessedRowForCleanup(e,o,t){for(var l in postProcessgroupId++,o)o.hasOwnProperty(l)&&postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e.cellNodesByColumnIdx[0|l],columnIdx:0|l,rowIdx:t});postProcessedCleanupQueue.push({actionType:\"R\",groupId:postProcessgroupId,node:e.rowNode}),$(e.rowNode).detach()}function queuePostProcessedCellForCleanup(e,o,t){postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e,columnIdx:o,rowIdx:t}),$(e).detach()}function removeRowFromCache(e){var o=rowsCache[e];o&&(o.rowNode&&(rowNodeFromLastMouseWheelEvent===o.rowNode?(o.rowNode.style.display=\"none\",zombieRowNodeFromLastMouseWheelEvent=rowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent=o,zombieRowPostProcessedFromLastMouseWheelEvent=postProcessedRows[e]):options.enableAsyncPostRenderCleanup&&postProcessedRows[e]?queuePostProcessedRowForCleanup(o,postProcessedRows[e],e):$canvas[0].removeChild(o.rowNode)),delete rowsCache[e],delete postProcessedRows[e],renderedRows--,counter_rows_removed++)}function invalidateRows(e){var o,t;if(e&&e.length){for(vScrollDir=0,t=e.length,o=0;o<t;o++)currentEditor&&activeRow===e[o]&&makeActiveCellNormal(),rowsCache[e[o]]&&removeRowFromCache(e[o]);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}}function invalidateRow(e){(e||0===e)&&invalidateRows([e])}function applyFormatResultToCellNode(e,o,t){null==e&&(e=\"\"),\"[object Object]\"===Object.prototype.toString.call(e)?(o.innerHTML=e.text,e.removeClasses&&!t&&$(o).removeClass(e.removeClasses),e.addClasses&&$(o).addClass(e.addClasses)):o.innerHTML=e}function updateCell(e,o){var t=getCellNode(e,o);if(t){var l=columns[o],n=getDataItem(e);if(currentEditor&&activeRow===e&&activeCell===o)currentEditor.loadValue(n);else applyFormatResultToCellNode(n?getFormatter(e,l)(e,o,getDataItemValueForColumn(n,l),l,n,self):\"\",t),invalidatePostProcessingResults(e)}}function updateRow(e){var o=rowsCache[e];if(o){ensureCellNodesInRowsCache(e);var t=getDataItem(e);for(var l in o.cellNodesByColumnIdx)if(o.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=o.cellNodesByColumnIdx[l];e===activeRow&&l===activeCell&&currentEditor?currentEditor.loadValue(t):t?applyFormatResultToCellNode(getFormatter(e,n)(e,l,getDataItemValueForColumn(t,n),n,t,self),r):r.innerHTML=\"\"}invalidatePostProcessingResults(e)}}function getViewportHeight(){return parseFloat($.css($container[0],\"height\",!0))-parseFloat($.css($container[0],\"paddingTop\",!0))-parseFloat($.css($container[0],\"paddingBottom\",!0))-parseFloat($.css($headerScroller[0],\"height\"))-getVBoxDelta($headerScroller)-(options.showTopPanel?options.topPanelHeight+getVBoxDelta($topPanelScroller):0)-(options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0)-(options.createFooterRow&&options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0)-(options.createPreHeaderPanel&&options.showPreHeaderPanel?options.preHeaderPanelHeight+getVBoxDelta($preHeaderPanelScroller):0)}function resizeCanvas(){initialized&&(viewportH=options.autoHeight?options.rowHeight*getDataLengthIncludingAddNew():getViewportHeight(),numVisibleRows=Math.ceil(viewportH/options.rowHeight),viewportW=parseFloat($.css($container[0],\"width\",!0)),options.autoHeight||$viewport.height(viewportH),scrollbarDimensions&&scrollbarDimensions.width||(scrollbarDimensions=measureScrollbar()),options.forceFitColumns&&autosizeColumns(),updateRowCount(),handleScroll(),lastRenderedScrollLeft=-1,render())}function updatePagingStatusFromView(e){pagingActive=0!==e.pageSize,pagingIsLastPage=e.pageNum==e.totalPages-1}function updateRowCount(){if(initialized){var e=getDataLength(),o=getDataLengthIncludingAddNew()+(options.leaveSpaceForNewRows?numVisibleRows-1:0),t=viewportHasVScroll;viewportHasVScroll=options.alwaysShowVerticalScroll||!options.autoHeight&&o*options.rowHeight>viewportH,viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width,makeActiveCellNormal();var l=e-1;for(var r in rowsCache)r>l&&removeRowFromCache(r);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup(),activeCellNode&&activeRow>l&&resetActiveCell();var i=h;(th=Math.max(options.rowHeight*o,viewportH-scrollbarDimensions.height))<maxSupportedCssHeight?(h=ph=th,n=1,cj=0):(ph=(h=maxSupportedCssHeight)/100,n=Math.floor(th/ph),cj=(th-h)/(n-1)),h!==i&&($canvas.css(\"height\",h),scrollTop=$viewport[0].scrollTop);var s=scrollTop+offset<=th-viewportH;0==th||0==scrollTop?page=offset=0:scrollTo(s?scrollTop+offset:th-viewportH),h!=i&&options.autoHeight&&resizeCanvas(),options.forceFitColumns&&t!=viewportHasVScroll&&autosizeColumns(),updateCanvasWidth(!1)}}function getVisibleRange(e,o){return null==e&&(e=scrollTop),null==o&&(o=scrollLeft),{top:getRowFromPosition(e),bottom:getRowFromPosition(e+viewportH)+1,leftPx:o,rightPx:o+viewportW}}function getRenderedRange(e,o){var t=getVisibleRange(e,o),l=Math.round(viewportH/options.rowHeight),n=options.minRowBuffer;return-1==vScrollDir?(t.top-=l,t.bottom+=n):1==vScrollDir?(t.top-=n,t.bottom+=l):(t.top-=n,t.bottom+=n),t.top=Math.max(0,t.top),t.bottom=Math.min(getDataLengthIncludingAddNew()-1,t.bottom),t.leftPx-=viewportW,t.rightPx+=viewportW,t.leftPx=Math.max(0,t.leftPx),t.rightPx=Math.min(canvasWidth,t.rightPx),t}function ensureCellNodesInRowsCache(e){var o=rowsCache[e];if(o&&o.cellRenderQueue.length)for(var t=o.rowNode.lastChild;o.cellRenderQueue.length;){var l=o.cellRenderQueue.pop();o.cellNodesByColumnIdx[l]=t,t=t.previousSibling}}function cleanUpCells(e,o){var t,l,n=rowsCache[o],r=[];for(var i in n.cellNodesByColumnIdx)if(n.cellNodesByColumnIdx.hasOwnProperty(i)){i|=0;var s=n.cellColSpans[i];(columnPosLeft[i]>e.rightPx||columnPosRight[Math.min(columns.length-1,i+s-1)]<e.leftPx)&&(o==activeRow&&i==activeCell||r.push(i))}for(postProcessgroupId++;null!=(t=r.pop());)l=n.cellNodesByColumnIdx[t],options.enableAsyncPostRenderCleanup&&postProcessedRows[o]&&postProcessedRows[o][t]?queuePostProcessedCellForCleanup(l,t,o):n.rowNode.removeChild(l),delete n.cellColSpans[t],delete n.cellNodesByColumnIdx[t],postProcessedRows[o]&&delete postProcessedRows[o][t]}function cleanUpAndRenderCells(e){for(var o,t,l,n=[],r=[],i=e.top,s=e.bottom;i<=s;i++)if(o=rowsCache[i]){ensureCellNodesInRowsCache(i),cleanUpCells(e,i),t=0;var a=data.getItemMetadata&&data.getItemMetadata(i);a=a&&a.columns;for(var c=getDataItem(i),d=0,u=columns.length;d<u&&!(columnPosLeft[d]>e.rightPx);d++)if(null==(l=o.cellColSpans[d])){if(l=1,a){var h=a[columns[d].id]||a[d];\"*\"===(l=h&&h.colspan||1)&&(l=u-d)}columnPosRight[Math.min(u-1,d+l-1)]>e.leftPx&&(appendCellHtml(n,i,d,l,c),t++),d+=l>1?l-1:0}else d+=l>1?l-1:0;t&&(t,r.push(i))}if(n.length){var p,g,m=document.createElement(\"div\");for(m.innerHTML=n.join(\"\");null!=(p=r.pop());){var v;for(o=rowsCache[p];null!=(v=o.cellRenderQueue.pop());)g=m.lastChild,o.rowNode.appendChild(g),o.cellNodesByColumnIdx[v]=g}}}function renderRows(e){for(var o=$canvas[0],t=[],l=[],n=!1,r=getDataLength(),i=e.top,s=e.bottom;i<=s;i++)rowsCache[i]||(renderedRows++,l.push(i),rowsCache[i]={rowNode:null,cellColSpans:[],cellNodesByColumnIdx:[],cellRenderQueue:[]},appendRowHtml(t,i,e,r),activeCellNode&&activeRow===i&&(n=!0),counter_rows_rendered++);if(l.length){var a=document.createElement(\"div\");a.innerHTML=t.join(\"\");for(i=0,s=l.length;i<s;i++)rowsCache[l[i]].rowNode=o.appendChild(a.firstChild);n&&(activeCellNode=getCellNode(activeRow,activeCell))}}function startPostProcessing(){options.enableAsyncPostRender&&(clearTimeout(h_postrender),h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}function startPostProcessingCleanup(){options.enableAsyncPostRenderCleanup&&(clearTimeout(h_postrenderCleanup),h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay))}function invalidatePostProcessingResults(e){for(var o in postProcessedRows[e])postProcessedRows[e].hasOwnProperty(o)&&(postProcessedRows[e][o]=\"C\");postProcessFromRow=Math.min(postProcessFromRow,e),postProcessToRow=Math.max(postProcessToRow,e),startPostProcessing()}function updateRowPositions(){for(var e in rowsCache)rowsCache[e].rowNode.style.top=getRowTop(e)+\"px\"}function render(){if(initialized){scrollThrottle.dequeue();var e=getVisibleRange(),o=getRenderedRange();cleanupRows(o),lastRenderedScrollLeft!=scrollLeft&&cleanUpAndRenderCells(o),renderRows(o),postProcessFromRow=e.top,postProcessToRow=Math.min(getDataLengthIncludingAddNew()-1,e.bottom),startPostProcessing(),lastRenderedScrollTop=scrollTop,lastRenderedScrollLeft=scrollLeft,h_render=null,trigger(self.onRendered,{startRow:e.top,endRow:e.bottom,grid:self})}}function handleHeaderScroll(){handleElementScroll($headerScroller[0])}function handleHeaderRowScroll(){handleElementScroll($headerRowScroller[0])}function handleFooterRowScroll(){handleElementScroll($footerRowScroller[0])}function handlePreHeaderPanelScroll(){handleElementScroll($preHeaderPanelScroller[0])}function handleElementScroll(e){var o=e.scrollLeft;o!=$viewport[0].scrollLeft&&($viewport[0].scrollLeft=o)}function handleScroll(){scrollTop=$viewport[0].scrollTop,scrollLeft=$viewport[0].scrollLeft;var e=Math.abs(scrollTop-prevScrollTop),o=Math.abs(scrollLeft-prevScrollLeft);if(o&&(prevScrollLeft=scrollLeft,$headerScroller[0].scrollLeft=scrollLeft,$topPanelScroller[0].scrollLeft=scrollLeft,$headerRowScroller[0].scrollLeft=scrollLeft,options.createFooterRow&&($footerRowScroller[0].scrollLeft=scrollLeft),options.createPreHeaderPanel&&($preHeaderPanelScroller[0].scrollLeft=scrollLeft)),e)if(vScrollDir=prevScrollTop<scrollTop?1:-1,prevScrollTop=scrollTop,e<viewportH)scrollTo(scrollTop+offset);else{var t=offset;page=h==viewportH?0:Math.min(n-1,Math.floor(scrollTop*((th-viewportH)/(h-viewportH))*(1/ph))),t!=(offset=Math.round(page*cj))&&invalidateAllRows()}if(o||e){var l=Math.abs(lastRenderedScrollLeft-scrollLeft),r=Math.abs(lastRenderedScrollTop-scrollTop);(l>20||r>20)&&(options.forceSyncScrolling||r<viewportH&&l<viewportW?render():scrollThrottle.enqueue(),trigger(self.onViewportChanged,{}))}trigger(self.onScroll,{scrollLeft,scrollTop})}function ActionThrottle(e,o){var t=!1,l=!1;function n(){l=!1}function r(){t=!0,setTimeout(i,o),e()}function i(){l?(n(),r()):t=!1}return{enqueue:function(){t?l=!0:r()},dequeue:n}}function asyncPostProcessRows(){for(var e=getDataLength();postProcessFromRow<=postProcessToRow;){var o=vScrollDir>=0?postProcessFromRow++:postProcessToRow--,t=rowsCache[o];if(t&&!(o>=e)){for(var l in postProcessedRows[o]||(postProcessedRows[o]={}),ensureCellNodesInRowsCache(o),t.cellNodesByColumnIdx)if(t.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=postProcessedRows[o][l];if(n.asyncPostRender&&\"R\"!==r){var i=t.cellNodesByColumnIdx[l];i&&n.asyncPostRender(i,o,getDataItem(o),n,\"C\"===r),postProcessedRows[o][l]=\"R\"}}return void(h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}}}function asyncPostProcessCleanupRows(){if(postProcessedCleanupQueue.length>0){for(var e=postProcessedCleanupQueue[0].groupId;postProcessedCleanupQueue.length>0&&postProcessedCleanupQueue[0].groupId==e;){var o=postProcessedCleanupQueue.shift();if(\"R\"==o.actionType&&$(o.node).remove(),\"C\"==o.actionType){var t=columns[o.columnIdx];t.asyncPostRenderCleanup&&o.node&&t.asyncPostRenderCleanup(o.node,o.rowIdx,t)}}h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay)}}function updateCellCssStylesOnRenderedRows(e,o){var t,l,n,r;for(var i in rowsCache){if(r=o&&o[i],n=e&&e[i],r)for(l in r)n&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).removeClass(r[l]);if(n)for(l in n)r&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).addClass(n[l])}}function addCellCssStyles(e,o){if(cellCssClasses[e])throw new Error(\"addCellCssStyles: cell CSS hash with key '\"+e+\"' already exists.\");cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,null),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function removeCellCssStyles(e){cellCssClasses[e]&&(updateCellCssStylesOnRenderedRows(null,cellCssClasses[e]),delete cellCssClasses[e],trigger(self.onCellCssStylesChanged,{key:e,hash:null,grid:self}))}function setCellCssStyles(e,o){var t=cellCssClasses[e];cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,t),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function getCellCssStyles(e){return cellCssClasses[e]}function flashCell(e,o,t){if(t=t||100,rowsCache[e]){var l=$(getCellNode(e,o)),n=function(e){e&&setTimeout((function(){l.queue((function(){l.toggleClass(options.cellFlashingCssClass).dequeue(),n(e-1)}))}),t)};n(4)}}function handleMouseWheel(e){var o=$(e.target).closest(\".slick-row\")[0];o!=rowNodeFromLastMouseWheelEvent&&(zombieRowNodeFromLastMouseWheelEvent&&zombieRowNodeFromLastMouseWheelEvent!=o&&(options.enableAsyncPostRenderCleanup&&zombieRowPostProcessedFromLastMouseWheelEvent?queuePostProcessedRowForCleanup(zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent):$canvas[0].removeChild(zombieRowNodeFromLastMouseWheelEvent),zombieRowNodeFromLastMouseWheelEvent=null,zombieRowCacheFromLastMouseWheelEvent=null,zombieRowPostProcessedFromLastMouseWheelEvent=null,options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()),rowNodeFromLastMouseWheelEvent=o)}function handleDragInit(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragInit,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDragStart(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragStart,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDrag(e,o){return trigger(self.onDrag,o,e)}function handleDragEnd(e,o){trigger(self.onDragEnd,o,e)}function handleKeyDown(e){trigger(self.onKeyDown,{row:activeRow,cell:activeCell},e);var o=e.isImmediatePropagationStopped(),t=Slick.keyCode;if(!o&&!e.shiftKey&&!e.altKey){if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;e.which==t.HOME?o=e.ctrlKey?navigateTop():navigateRowStart():e.which==t.END&&(o=e.ctrlKey?navigateBottom():navigateRowEnd())}if(!o)if(e.shiftKey||e.altKey||e.ctrlKey)e.which!=t.TAB||!e.shiftKey||e.ctrlKey||e.altKey||(o=navigatePrev());else{if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;if(e.which==t.ESCAPE){if(!getEditorLock().isActive())return;cancelEditAndSetFocus()}else e.which==t.PAGE_DOWN?(navigatePageDown(),o=!0):e.which==t.PAGE_UP?(navigatePageUp(),o=!0):e.which==t.LEFT?o=navigateLeft():e.which==t.RIGHT?o=navigateRight():e.which==t.UP?o=navigateUp():e.which==t.DOWN?o=navigateDown():e.which==t.TAB?o=navigateNext():e.which==t.ENTER&&(options.editable&&(currentEditor?activeRow===getDataLength()?navigateDown():commitEditAndSetFocus():getEditorLock().commitCurrentEdit()&&makeActiveCellEditable(void 0,void 0,e)),o=!0)}if(o){e.stopPropagation(),e.preventDefault();try{e.originalEvent.keyCode=0}catch(e){}}}function handleClick(e){currentEditor||(e.target!=document.activeElement||$(e.target).hasClass(\"slick-cell\"))&&setFocus();var o=getCellFromEvent(e);if(o&&(null===currentEditor||activeRow!=o.row||activeCell!=o.cell)&&(trigger(self.onClick,{row:o.row,cell:o.cell},e),!e.isImmediatePropagationStopped()&&canCellBeActive(o.row,o.cell)&&(!getEditorLock().isActive()||getEditorLock().commitCurrentEdit()))){scrollRowIntoView(o.row,!1);var t=e.target&&e.target.className===Slick.preClickClassName,l=columns[o.cell],n=!!(options.editable&&l&&l.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(getCellNode(o.row,o.cell),null,t,n,e)}}function handleContextMenu(e){var o=$(e.target).closest(\".slick-cell\",$canvas);0!==o.length&&(activeCellNode===o[0]&&null!==currentEditor||trigger(self.onContextMenu,{},e))}function handleDblClick(e){var o=getCellFromEvent(e);!o||null!==currentEditor&&activeRow==o.row&&activeCell==o.cell||(trigger(self.onDblClick,{row:o.row,cell:o.cell},e),e.isImmediatePropagationStopped()||options.editable&&gotoCell(o.row,o.cell,!0,e))}function handleHeaderMouseEnter(e){trigger(self.onHeaderMouseEnter,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderMouseLeave(e){trigger(self.onHeaderMouseLeave,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderContextMenu(e){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");trigger(self.onHeaderContextMenu,{column:t},e)}function handleHeaderClick(e){if(!columnResizeDragging){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");t&&trigger(self.onHeaderClick,{column:t},e)}}function handleMouseEnter(e){trigger(self.onMouseEnter,{},e)}function handleMouseLeave(e){trigger(self.onMouseLeave,{},e)}function cellExists(e,o){return!(e<0||e>=getDataLength()||o<0||o>=columns.length)}function getCellFromPoint(e,o){for(var t=getRowFromPosition(o),l=0,n=0,r=0;r<columns.length&&n<e;r++)n+=columns[r].width,l++;return l<0&&(l=0),{row:t,cell:l-1}}function getCellFromNode(e){var o=/l\\d+/.exec(e.className);if(!o)throw new Error(\"getCellFromNode: cannot get cell - \"+e.className);return parseInt(o[0].substr(1,o[0].length-1),10)}function getRowFromNode(e){for(var o in rowsCache)if(rowsCache[o].rowNode===e)return 0|o;return null}function getCellFromEvent(e){var o=$(e.target).closest(\".slick-cell\",$canvas);if(!o.length)return null;var t=getRowFromNode(o[0].parentNode),l=getCellFromNode(o[0]);return null==t||null==l?null:{row:t,cell:l}}function getCellNodeBox(e,o){if(!cellExists(e,o))return null;for(var t=getRowTop(e),l=t+options.rowHeight-1,n=0,r=0;r<o;r++)n+=columns[r].width;return{top:t,left:n,bottom:l,right:n+columns[o].width}}function resetActiveCell(){setActiveCellInternal(null,!1)}function setFocus(){-1==tabbingDirection?$focusSink[0].focus():$focusSink2[0].focus()}function scrollCellIntoView(e,o,t){scrollRowIntoView(e,t);var l=getColspan(e,o);internalScrollColumnIntoView(columnPosLeft[o],columnPosRight[o+(l>1?l-1:0)])}function internalScrollColumnIntoView(e,o){var t=scrollLeft+viewportW;e<scrollLeft?($viewport.scrollLeft(e),handleScroll(),render()):o>t&&($viewport.scrollLeft(Math.min(e,o-$viewport[0].clientWidth)),handleScroll(),render())}function scrollColumnIntoView(e){internalScrollColumnIntoView(columnPosLeft[e],columnPosRight[e])}function setActiveCellInternal(e,o,t,l,n){null!==activeCellNode&&(makeActiveCellNormal(),$(activeCellNode).removeClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).removeClass(\"active\"));null!=(activeCellNode=e)?(activeRow=getRowFromNode(activeCellNode.parentNode),activeCell=activePosX=getCellFromNode(activeCellNode),null==o&&(o=activeRow==getDataLength()||options.autoEdit),options.showCellSelection&&($(activeCellNode).addClass(\"active\"),$(rowsCache[activeRow].rowNode).addClass(\"active\")),options.editable&&o&&isCellPotentiallyEditable(activeRow,activeCell)&&(clearTimeout(h_editorLoader),options.asyncEditorLoading?h_editorLoader=setTimeout((function(){makeActiveCellEditable(void 0,t,n)}),options.asyncEditorLoadDelay):makeActiveCellEditable(void 0,t,n))):activeRow=activeCell=null,l||trigger(self.onActiveCellChanged,getActiveCell())}function clearTextSelection(){if(document.selection&&document.selection.empty)try{document.selection.empty()}catch(e){}else if(window.getSelection){var e=window.getSelection();e&&e.removeAllRanges&&e.removeAllRanges()}}function isCellPotentiallyEditable(e,o){var t=getDataLength();return!(e<t&&!getDataItem(e))&&(!(columns[o].cannotTriggerInsert&&e>=t)&&!!getEditor(e,o))}function makeActiveCellNormal(){if(currentEditor){if(trigger(self.onBeforeCellEditorDestroy,{editor:currentEditor}),currentEditor.destroy(),currentEditor=null,activeCellNode){var e=getDataItem(activeRow);if($(activeCellNode).removeClass(\"editable invalid\"),e){var o=columns[activeCell];applyFormatResultToCellNode(getFormatter(activeRow,o)(activeRow,activeCell,getDataItemValueForColumn(e,o),o,e,self),activeCellNode),invalidatePostProcessingResults(activeRow)}}navigator.userAgent.toLowerCase().match(/msie/)&&clearTextSelection(),getEditorLock().deactivate(editController)}}function makeActiveCellEditable(e,o,t){if(activeCellNode){if(!options.editable)throw new Error(\"Grid : makeActiveCellEditable : should never get called when options.editable is false\");if(clearTimeout(h_editorLoader),isCellPotentiallyEditable(activeRow,activeCell)){var l=columns[activeCell],n=getDataItem(activeRow);if(!1!==trigger(self.onBeforeEditCell,{row:activeRow,cell:activeCell,item:n,column:l})){getEditorLock().activate(editController),$(activeCellNode).addClass(\"editable\");var r=e||getEditor(activeRow,activeCell);e||r.suppressClearOnEdit||(activeCellNode.innerHTML=\"\"),currentEditor=new r({grid:self,gridPosition:absBox($container[0]),position:absBox(activeCellNode),container:activeCellNode,column:l,item:n||{},event:t,commitChanges:commitEditAndSetFocus,cancelChanges:cancelEditAndSetFocus}),n&&(currentEditor.loadValue(n),o&&currentEditor.preClick&&currentEditor.preClick()),serializedEditorValue=currentEditor.serializeValue(),currentEditor.position&&handleActiveCellPositionChange()}else setFocus()}}}function commitEditAndSetFocus(){getEditorLock().commitCurrentEdit()&&(setFocus(),options.autoEdit&&navigateDown())}function cancelEditAndSetFocus(){getEditorLock().cancelCurrentEdit()&&setFocus()}function absBox(e){var o={top:e.offsetTop,left:e.offsetLeft,bottom:0,right:0,width:$(e).outerWidth(),height:$(e).outerHeight(),visible:!0};o.bottom=o.top+o.height,o.right=o.left+o.width;for(var t=e.offsetParent;(e=e.parentNode)!=document.body&&null!=e;)o.visible&&e.scrollHeight!=e.offsetHeight&&\"visible\"!=$(e).css(\"overflowY\")&&(o.visible=o.bottom>e.scrollTop&&o.top<e.scrollTop+e.clientHeight),o.visible&&e.scrollWidth!=e.offsetWidth&&\"visible\"!=$(e).css(\"overflowX\")&&(o.visible=o.right>e.scrollLeft&&o.left<e.scrollLeft+e.clientWidth),o.left-=e.scrollLeft,o.top-=e.scrollTop,e===t&&(o.left+=e.offsetLeft,o.top+=e.offsetTop,t=e.offsetParent),o.bottom=o.top+o.height,o.right=o.left+o.width;return o}function getActiveCellPosition(){return absBox(activeCellNode)}function getGridPosition(){return absBox($container[0])}function handleActiveCellPositionChange(){if(activeCellNode&&(trigger(self.onActiveCellPositionChanged,{}),currentEditor)){var e=getActiveCellPosition();currentEditor.show&&currentEditor.hide&&(e.visible?currentEditor.show():currentEditor.hide()),currentEditor.position&&currentEditor.position(e)}}function getCellEditor(){return currentEditor}function getActiveCell(){return activeCellNode?{row:activeRow,cell:activeCell}:null}function getActiveCellNode(){return activeCellNode}function scrollRowIntoView(e,o){var t=e*options.rowHeight,l=(e+1)*options.rowHeight-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0);(e+1)*options.rowHeight>scrollTop+viewportH+offset?(scrollTo(o?t:l),render()):e*options.rowHeight<scrollTop+offset&&(scrollTo(o?l:t),render())}function scrollRowToTop(e){scrollTo(e*options.rowHeight),render()}function scrollPage(e){var o=e*numVisibleRows;if(scrollTo((getRowFromPosition(scrollTop)+o)*options.rowHeight),render(),options.enableCellNavigation&&null!=activeRow){var t=activeRow+o,l=getDataLengthIncludingAddNew();t>=l&&(t=l-1),t<0&&(t=0);for(var n=0,r=null,i=activePosX;n<=activePosX;)canCellBeActive(t,n)&&(r=n),n+=getColspan(t,n);null!==r?(setActiveCellInternal(getCellNode(t,r)),activePosX=i):resetActiveCell()}}function navigatePageDown(){scrollPage(1)}function navigatePageUp(){scrollPage(-1)}function navigateTop(){navigateToRow(0)}function navigateBottom(){navigateToRow(getDataLength()-1)}function navigateToRow(e){var o=getDataLength();if(!o)return!0;if(e<0?e=0:e>=o&&(e=o-1),scrollCellIntoView(e,0,!0),options.enableCellNavigation&&null!=activeRow){for(var t=0,l=null,n=activePosX;t<=activePosX;)canCellBeActive(e,t)&&(l=t),t+=getColspan(e,t);null!==l?(setActiveCellInternal(getCellNode(e,l)),activePosX=n):resetActiveCell()}return!0}function getColspan(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e);if(!t||!t.columns)return 1;var l=t.columns[columns[o].id]||t.columns[o],n=l&&l.colspan;return n=\"*\"===n?columns.length-o:n||1}function findFirstFocusableCell(e){for(var o=0;o<columns.length;){if(canCellBeActive(e,o))return o;o+=getColspan(e,o)}return null}function findLastFocusableCell(e){for(var o=0,t=null;o<columns.length;)canCellBeActive(e,o)&&(t=o),o+=getColspan(e,o);return t}function gotoRight(e,o,t){if(o>=columns.length)return null;do{o+=getColspan(e,o)}while(o<columns.length&&!canCellBeActive(e,o));return o<columns.length?{row:e,cell:o,posX:o}:null}function gotoLeft(e,o,t){if(o<=0)return null;var l=findFirstFocusableCell(e);if(null===l||l>=o)return null;for(var n,r={row:e,cell:l,posX:l};;){if(!(n=gotoRight(r.row,r.cell,r.posX)))return null;if(n.cell>=o)return r;r=n}}function gotoDown(e,o,t){for(var l,n=getDataLengthIncludingAddNew();;){if(++e>=n)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoUp(e,o,t){for(var l;;){if(--e<0)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoNext(e,o,t){if(null==e&&null==o&&canCellBeActive(e=o=t=0,o))return{row:e,cell:o,posX:o};var l=gotoRight(e,o,t);if(l)return l;var n=null,r=getDataLengthIncludingAddNew();for(e===r-1&&e--;++e<r;)if(null!==(n=findFirstFocusableCell(e)))return{row:e,cell:n,posX:n};return null}function gotoPrev(e,o,t){if(null==e&&null==o&&canCellBeActive(e=getDataLengthIncludingAddNew()-1,o=t=columns.length-1))return{row:e,cell:o,posX:o};for(var l,n;!l&&!(l=gotoLeft(e,o,t));){if(--e<0)return null;o=0,null!==(n=findLastFocusableCell(e))&&(l={row:e,cell:n,posX:n})}return l}function gotoRowStart(e,o,t){var l=findFirstFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function gotoRowEnd(e,o,t){var l=findLastFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function navigateRight(){return navigate(\"right\")}function navigateLeft(){return navigate(\"left\")}function navigateDown(){return navigate(\"down\")}function navigateUp(){return navigate(\"up\")}function navigateNext(){return navigate(\"next\")}function navigatePrev(){return navigate(\"prev\")}function navigateRowStart(){return navigate(\"home\")}function navigateRowEnd(){return navigate(\"end\")}function navigate(e){if(!options.enableCellNavigation)return!1;if(!activeCellNode&&\"prev\"!=e&&\"next\"!=e)return!1;if(!getEditorLock().commitCurrentEdit())return!0;setFocus();tabbingDirection={up:-1,down:1,left:-1,right:1,prev:-1,next:1,home:-1,end:1}[e];var o=(0,{up:gotoUp,down:gotoDown,left:gotoLeft,right:gotoRight,prev:gotoPrev,next:gotoNext,home:gotoRowStart,end:gotoRowEnd}[e])(activeRow,activeCell,activePosX);if(o){var t=o.row==getDataLength();return scrollCellIntoView(o.row,o.cell,!t&&options.emulatePagingWhenScrolling),setActiveCellInternal(getCellNode(o.row,o.cell)),activePosX=o.posX,!0}return setActiveCellInternal(getCellNode(activeRow,activeCell)),!1}function getCellNode(e,o){return rowsCache[e]?(ensureCellNodesInRowsCache(e),rowsCache[e].cellNodesByColumnIdx[o]):null}function setActiveCell(e,o,t,l,n){initialized&&(e>getDataLength()||e<0||o>=columns.length||o<0||options.enableCellNavigation&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t,l,n)))}function canCellBeActive(e,o){if(!options.enableCellNavigation||e>=getDataLengthIncludingAddNew()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.focusable)return!!t.focusable;var l=t&&t.columns;return l&&l[columns[o].id]&&void 0!==l[columns[o].id].focusable?!!l[columns[o].id].focusable:l&&l[o]&&void 0!==l[o].focusable?!!l[o].focusable:!!columns[o].focusable}function canCellBeSelected(e,o){if(e>=getDataLength()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.selectable)return!!t.selectable;var l=t&&t.columns&&(t.columns[columns[o].id]||t.columns[o]);return l&&void 0!==l.selectable?!!l.selectable:!!columns[o].selectable}function gotoCell(e,o,t,l){initialized&&(canCellBeActive(e,o)&&getEditorLock().commitCurrentEdit()&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t||e===getDataLength()||options.autoEdit,null,options.editable,l),currentEditor||setFocus()))}function commitCurrentEdit(){var e=getDataItem(activeRow),o=columns[activeCell];if(currentEditor){if(currentEditor.isValueChanged()){var t=currentEditor.validate();if(t.valid){if(activeRow<getDataLength()){var l={row:activeRow,cell:activeCell,editor:currentEditor,serializedValue:currentEditor.serializeValue(),prevSerializedValue:serializedEditorValue,execute:function(){this.editor.applyValue(e,this.serializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})},undo:function(){this.editor.applyValue(e,this.prevSerializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})}};options.editCommandHandler?(makeActiveCellNormal(),options.editCommandHandler(e,o,l)):(l.execute(),makeActiveCellNormal())}else{var n={};currentEditor.applyValue(n,currentEditor.serializeValue()),makeActiveCellNormal(),trigger(self.onAddNewRow,{item:n,column:o})}return!getEditorLock().isActive()}return $(activeCellNode).removeClass(\"invalid\"),$(activeCellNode).width(),$(activeCellNode).addClass(\"invalid\"),trigger(self.onValidationError,{editor:currentEditor,cellNode:activeCellNode,validationResults:t,row:activeRow,cell:activeCell,column:o}),currentEditor.focus(),!1}makeActiveCellNormal()}return!0}function cancelCurrentEdit(){return makeActiveCellNormal(),!0}function rowsToRanges(e){for(var o=[],t=columns.length-1,l=0;l<e.length;l++)o.push(new Slick.Range(e[l],0,e[l],t));return o}function getSelectedRows(){if(!selectionModel)throw new Error(\"Selection model is not set\");return selectedRows}function setSelectedRows(e){if(!selectionModel)throw new Error(\"Selection model is not set\");self&&self.getEditorLock&&!self.getEditorLock().isActive()&&selectionModel.setSelectedRanges(rowsToRanges(e))}this.debug=function(){var e=\"\";e+=\"\\ncounter_rows_rendered:  \"+counter_rows_rendered,e+=\"\\ncounter_rows_removed:  \"+counter_rows_removed,e+=\"\\nrenderedRows:  \"+renderedRows,e+=\"\\nnumVisibleRows:  \"+numVisibleRows,e+=\"\\nmaxSupportedCssHeight:  \"+maxSupportedCssHeight,e+=\"\\nn(umber of pages):  \"+n,e+=\"\\n(current) page:  \"+page,e+=\"\\npage height (ph):  \"+ph,e+=\"\\nvScrollDir:  \"+vScrollDir,alert(e)},this.eval=function(expr){return eval(expr)},$.extend(this,{slickGridVersion:\"2.3.23\",onScroll:new Slick.Event,onSort:new Slick.Event,onHeaderMouseEnter:new Slick.Event,onHeaderMouseLeave:new Slick.Event,onHeaderContextMenu:new Slick.Event,onHeaderClick:new Slick.Event,onHeaderCellRendered:new Slick.Event,onBeforeHeaderCellDestroy:new Slick.Event,onHeaderRowCellRendered:new Slick.Event,onFooterRowCellRendered:new Slick.Event,onBeforeHeaderRowCellDestroy:new Slick.Event,onBeforeFooterRowCellDestroy:new Slick.Event,onMouseEnter:new Slick.Event,onMouseLeave:new Slick.Event,onClick:new Slick.Event,onDblClick:new Slick.Event,onContextMenu:new Slick.Event,onKeyDown:new Slick.Event,onAddNewRow:new Slick.Event,onBeforeAppendCell:new Slick.Event,onValidationError:new Slick.Event,onViewportChanged:new Slick.Event,onColumnsReordered:new Slick.Event,onColumnsResized:new Slick.Event,onCellChange:new Slick.Event,onBeforeEditCell:new Slick.Event,onBeforeCellEditorDestroy:new Slick.Event,onBeforeDestroy:new Slick.Event,onActiveCellChanged:new Slick.Event,onActiveCellPositionChanged:new Slick.Event,onDragInit:new Slick.Event,onDragStart:new Slick.Event,onDrag:new Slick.Event,onDragEnd:new Slick.Event,onSelectedRowsChanged:new Slick.Event,onCellCssStylesChanged:new Slick.Event,onAutosizeColumns:new Slick.Event,onRendered:new Slick.Event,registerPlugin,unregisterPlugin,getColumns,setColumns,getColumnIndex,updateColumnHeader,setSortColumn,setSortColumns,getSortColumns,autosizeColumns,getOptions,setOptions,getData,getDataLength,getDataItem,setData,getSelectionModel,setSelectionModel,getSelectedRows,setSelectedRows,getContainerNode,updatePagingStatusFromView,render,invalidate,invalidateRow,invalidateRows,invalidateAllRows,updateCell,updateRow,getViewport:getVisibleRange,getRenderedRange,resizeCanvas,updateRowCount,scrollRowIntoView,scrollRowToTop,scrollCellIntoView,scrollColumnIntoView,getCanvasNode,getUID,getHeaderColumnWidthDiff,getScrollbarDimensions,getHeadersWidth,getCanvasWidth,focus:setFocus,scrollTo,getCellFromPoint,getCellFromEvent,getActiveCell,setActiveCell,getActiveCellNode,getActiveCellPosition,resetActiveCell,editActiveCell:makeActiveCellEditable,getCellEditor,getCellNode,getCellNodeBox,canCellBeSelected,canCellBeActive,navigatePrev,navigateNext,navigateUp,navigateDown,navigateLeft,navigateRight,navigatePageUp,navigatePageDown,navigateTop,navigateBottom,navigateRowStart,navigateRowEnd,gotoCell,getTopPanel,setTopPanelVisibility,getPreHeaderPanel,setPreHeaderPanelVisibility,getHeader,getHeaderColumn,setHeaderRowVisibility,getHeaderRow,getHeaderRowColumn,setFooterRowVisibility,getFooterRow,getFooterRowColumn,getGridPosition,flashCell,addCellCssStyles,setCellCssStyles,removeCellCssStyles,getCellCssStyles,init:finishInitialization,destroy,getEditorLock,getEditController}),init()}module.exports={Grid:SlickGrid}},\n",
+       "      450: function _(t,e,a){\n",
+       "      /*!\n",
+       "           * jquery.event.drag - v 2.3.0\n",
+       "           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n",
+       "           * Open Source MIT License - http://threedubmedia.com/code/license\n",
+       "           */\n",
+       "      var n=t(443);n.fn.drag=function(t,e,a){var r=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==r.indexOf(\"drag\")&&(r=\"drag\"+r),a=(t==o?e:a)||{},o?this.on(r,a,o):this.trigger(r)};var r=n.event,o=r.special,i=o.drag={defaults:{which:1,distance:0,not:\":input\",handle:null,relative:!1,drop:!0,click:!1},datakey:\"dragdata\",noBubble:!0,add:function(t){var e=n.data(this,i.datakey),a=t.data||{};e.related+=1,n.each(i.defaults,(function(t,n){void 0!==a[t]&&(e[t]=a[t])}))},remove:function(){n.data(this,i.datakey).related-=1},setup:function(){if(!n.data(this,i.datakey)){var t=n.extend({related:0},i.defaults);n.data(this,i.datakey,t),r.add(this,\"touchstart mousedown\",i.init,t),this.attachEvent&&this.attachEvent(\"ondragstart\",i.dontstart)}},teardown:function(){(n.data(this,i.datakey)||{}).related||(n.removeData(this,i.datakey),r.remove(this,\"touchstart mousedown\",i.init),i.textselect(!0),this.detachEvent&&this.detachEvent(\"ondragstart\",i.dontstart))},init:function(t){if(!i.touched){var e,a=t.data;if(!(0!=t.which&&a.which>0&&t.which!=a.which)&&!n(t.target).is(a.not)&&(!a.handle||n(t.target).closest(a.handle,t.currentTarget).length)&&(i.touched=\"touchstart\"==t.type?this:null,a.propagates=1,a.mousedown=this,a.interactions=[i.interaction(this,a)],a.target=t.target,a.pageX=t.pageX,a.pageY=t.pageY,a.dragging=null,e=i.hijack(t,\"draginit\",a),a.propagates))return(e=i.flatten(e))&&e.length&&(a.interactions=[],n.each(e,(function(){a.interactions.push(i.interaction(this,a))}))),a.propagates=a.interactions.length,!1!==a.drop&&o.drop&&o.drop.handler(t,a),i.textselect(!1),i.touched?r.add(i.touched,\"touchmove touchend\",i.handler,a):r.add(document,\"mousemove mouseup\",i.handler,a),!(!i.touched||a.live)&&void 0}},interaction:function(t,e){var a=t&&t.ownerDocument&&n(t)[e.relative?\"position\":\"offset\"]()||{top:0,left:0};return{drag:t,callback:new i.callback,droppable:[],offset:a}},handler:function(t){var e=t.data;switch(t.type){case!e.dragging&&\"touchmove\":t.preventDefault();case!e.dragging&&\"mousemove\":if(Math.pow(t.pageX-e.pageX,2)+Math.pow(t.pageY-e.pageY,2)<Math.pow(e.distance,2))break;t.target=e.target,i.hijack(t,\"dragstart\",e),e.propagates&&(e.dragging=!0);case\"touchmove\":t.preventDefault();case\"mousemove\":if(e.dragging){if(i.hijack(t,\"drag\",e),e.propagates){!1!==e.drop&&o.drop&&o.drop.handler(t,e);break}t.type=\"mouseup\"}case\"touchend\":case\"mouseup\":default:i.touched?r.remove(i.touched,\"touchmove touchend\",i.handler):r.remove(document,\"mousemove mouseup\",i.handler),e.dragging&&(!1!==e.drop&&o.drop&&o.drop.handler(t,e),i.hijack(t,\"dragend\",e)),i.textselect(!0),!1===e.click&&e.dragging&&n.data(e.mousedown,\"suppress.click\",(new Date).getTime()+5),e.dragging=i.touched=!1}},hijack:function(t,e,a,o,d){if(a){var s,c,l,p={event:t.originalEvent,type:t.type},u=e.indexOf(\"drop\")?\"drag\":\"drop\",g=o||0,h=isNaN(o)?a.interactions.length:o;t.type=e;var f=function(){};t.originalEvent=new n.Event(p.event,{preventDefault:f,stopPropagation:f,stopImmediatePropagation:f}),a.results=[];do{if(c=a.interactions[g]){if(\"dragend\"!==e&&c.cancelled)continue;l=i.properties(t,a,c),c.results=[],n(d||c[u]||a.droppable).each((function(o,d){if(l.target=d,t.isPropagationStopped=function(){return!1},!1===(s=d?r.dispatch.call(d,t,l):null)?(\"drag\"==u&&(c.cancelled=!0,a.propagates-=1),\"drop\"==e&&(c[u][o]=null)):\"dropinit\"==e&&c.droppable.push(i.element(s)||d),\"dragstart\"==e&&(c.proxy=n(i.element(s)||c.drag)[0]),c.results.push(s),delete t.result,\"dropinit\"!==e)return s})),a.results[g]=i.flatten(c.results),\"dropinit\"==e&&(c.droppable=i.flatten(c.droppable)),\"dragstart\"!=e||c.cancelled||l.update()}}while(++g<h);return t.type=p.type,t.originalEvent=p.event,i.flatten(a.results)}},properties:function(t,e,a){var n=a.callback;return n.drag=a.drag,n.proxy=a.proxy||a.drag,n.startX=e.pageX,n.startY=e.pageY,n.deltaX=t.pageX-e.pageX,n.deltaY=t.pageY-e.pageY,n.originalX=a.offset.left,n.originalY=a.offset.top,n.offsetX=n.originalX+n.deltaX,n.offsetY=n.originalY+n.deltaY,n.drop=i.flatten((a.drop||[]).slice()),n.available=i.flatten((a.droppable||[]).slice()),n},element:function(t){if(t&&(t.jquery||1==t.nodeType))return t},flatten:function(t){return n.map(t,(function(t){return t&&t.jquery?n.makeArray(t):t&&t.length?i.flatten(t):t}))},textselect:function(t){n(document)[t?\"off\":\"on\"](\"selectstart\",i.dontstart).css(\"MozUserSelect\",t?\"\":\"none\"),document.unselectable=t?\"off\":\"on\"},dontstart:function(){return!1},callback:function(){}};i.callback.prototype={update:function(){o.drop&&this.available.length&&n.each(this.available,(function(t){o.drop.locate(this,t)}))}};var d=r.dispatch;r.dispatch=function(t){if(!(n.data(this,\"suppress.\"+t.type)-(new Date).getTime()>0))return d.apply(this,arguments);n.removeData(this,\"suppress.\"+t.type)},o.draginit=o.dragstart=o.dragend=i},\n",
+       "      451: function _(t,e,a){\n",
+       "      /*!\n",
+       "           * jquery.event.drop - v 2.3.0\n",
+       "           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n",
+       "           * Open Source MIT License - http://threedubmedia.com/code/license\n",
+       "           */\n",
+       "      var n=t(443);n.fn.drop=function(t,e,a){var i=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==i.indexOf(\"drop\")&&(i=\"drop\"+i),a=(t==o?e:a)||{},o?this.on(i,a,o):this.trigger(i)},n.drop=function(t){t=t||{},o.multi=!0===t.multi?1/0:!1===t.multi?1:isNaN(t.multi)?o.multi:t.multi,o.delay=t.delay||o.delay,o.tolerance=n.isFunction(t.tolerance)?t.tolerance:null===t.tolerance?null:o.tolerance,o.mode=t.mode||o.mode||\"intersect\"};var i=n.event.special,o=n.event.special.drop={multi:1,delay:20,mode:\"overlap\",targets:[],datakey:\"dropdata\",noBubble:!0,add:function(t){n.data(this,o.datakey).related+=1},remove:function(){n.data(this,o.datakey).related-=1},setup:function(){if(!n.data(this,o.datakey)){n.data(this,o.datakey,{related:0,active:[],anyactive:0,winner:0,location:{}}),o.targets.push(this)}},teardown:function(){if(!(n.data(this,o.datakey)||{}).related){n.removeData(this,o.datakey);var t=this;o.targets=n.grep(o.targets,(function(e){return e!==t}))}},handler:function(t,e){var a;if(e)switch(t.type){case\"mousedown\":case\"touchstart\":a=n(o.targets),\"string\"==typeof e.drop&&(a=a.filter(e.drop)),a.each((function(){var t=n.data(this,o.datakey);t.active=[],t.anyactive=0,t.winner=0})),e.droppable=a,i.drag.hijack(t,\"dropinit\",e);break;case\"mousemove\":case\"touchmove\":o.event=t,o.timer||o.tolerate(e);break;case\"mouseup\":case\"touchend\":o.timer=clearTimeout(o.timer),e.propagates&&(i.drag.hijack(t,\"drop\",e),i.drag.hijack(t,\"dropend\",e))}},locate:function(t,e){var a=n.data(t,o.datakey),i=n(t),r=i.offset()||{},d=i.outerHeight(),l=i.outerWidth(),c={elem:t,width:l,height:d,top:r.top,left:r.left,right:r.left+l,bottom:r.top+d};return a&&(a.location=c,a.index=e,a.elem=t),c},contains:function(t,e){return(e[0]||e.left)>=t.left&&(e[0]||e.right)<=t.right&&(e[1]||e.top)>=t.top&&(e[1]||e.bottom)<=t.bottom},modes:{intersect:function(t,e,a){return this.contains(a,[t.pageX,t.pageY])?1e9:this.modes.overlap.apply(this,arguments)},overlap:function(t,e,a){return Math.max(0,Math.min(a.bottom,e.bottom)-Math.max(a.top,e.top))*Math.max(0,Math.min(a.right,e.right)-Math.max(a.left,e.left))},fit:function(t,e,a){return this.contains(a,e)?1:0},middle:function(t,e,a){return this.contains(a,[e.left+.5*e.width,e.top+.5*e.height])?1:0}},sort:function(t,e){return e.winner-t.winner||t.index-e.index},tolerate:function(t){var e,a,r,d,l,c,s,u,p=0,h=t.interactions.length,m=[o.event.pageX,o.event.pageY],f=o.tolerance||o.modes[o.mode];do{if(u=t.interactions[p]){if(!u)return;u.drop=[],l=[],c=u.droppable.length,f&&(r=o.locate(u.proxy)),e=0;do{if(s=u.droppable[e]){if(!(a=(d=n.data(s,o.datakey)).location))continue;d.winner=f?f.call(o,o.event,r,a):o.contains(a,m)?1:0,l.push(d)}}while(++e<c);l.sort(o.sort),e=0;do{(d=l[e])&&(d.winner&&u.drop.length<o.multi?(d.active[p]||d.anyactive||(!1!==i.drag.hijack(o.event,\"dropstart\",t,p,d.elem)[0]?(d.active[p]=1,d.anyactive+=1):d.winner=0),d.winner&&u.drop.push(d.elem)):d.active[p]&&1==d.anyactive&&(i.drag.hijack(o.event,\"dropend\",t,p,d.elem),d.active[p]=0,d.anyactive-=1))}while(++e<c)}}while(++p<h);o.last&&m[0]==o.last.pageX&&m[1]==o.last.pageY?delete o.timer:o.timer=setTimeout((function(){o.tolerate(t)}),o.delay),o.last=o.event}};i.dropinit=i.dropstart=i.dropend=o},\n",
+       "      452: function _(t,e,n){var r=t(443),i=t(445);var o={Avg:function(t){this.field_=t,this.init=function(){this.count_=0,this.nonNullCount_=0,this.sum_=0},this.accumulate=function(t){var e=t[this.field_];this.count_++,null==e||\"\"===e||isNaN(e)||(this.nonNullCount_++,this.sum_+=parseFloat(e))},this.storeResult=function(t){t.avg||(t.avg={}),0!=this.nonNullCount_&&(t.avg[this.field_]=this.sum_/this.nonNullCount_)}},Min:function(t){this.field_=t,this.init=function(){this.min_=null},this.accumulate=function(t){var e=t[this.field_];null==e||\"\"===e||isNaN(e)||(null==this.min_||e<this.min_)&&(this.min_=e)},this.storeResult=function(t){t.min||(t.min={}),t.min[this.field_]=this.min_}},Max:function(t){this.field_=t,this.init=function(){this.max_=null},this.accumulate=function(t){var e=t[this.field_];null==e||\"\"===e||isNaN(e)||(null==this.max_||e>this.max_)&&(this.max_=e)},this.storeResult=function(t){t.max||(t.max={}),t.max[this.field_]=this.max_}},Sum:function(t){this.field_=t,this.init=function(){this.sum_=null},this.accumulate=function(t){var e=t[this.field_];null==e||\"\"===e||isNaN(e)||(this.sum_+=parseFloat(e))},this.storeResult=function(t){t.sum||(t.sum={}),t.sum[this.field_]=this.sum_}}};e.exports={DataView:function(t){var e,n,o,a,l,s=this,u=\"id\",g=[],c=[],f={},p=null,h=null,d=null,m=!1,v=!0,_={},w={},$=[],y=[],I={getter:null,formatter:null,comparer:function(t,e){return t.value===e.value?0:t.value>e.value?1:-1},predefinedValues:[],aggregators:[],aggregateEmpty:!1,aggregateCollapsed:!1,aggregateChildGroups:!1,collapsed:!1,displayTotalsRow:!0,lazyTotalsCalculation:!1},C=[],R=[],x=[],b=0,M=0,F=0,A=new i.Event,S=new i.Event,N=new i.Event;function E(t){for(var e,n=t=t||0,r=g.length;n<r;n++){if(void 0===(e=g[n][u]))throw new Error(\"Each data element must implement a unique 'id' property\");f[e]=n}}function T(){var t=b?Math.max(1,Math.ceil(F/b)):1;return{pageSize:b,pageNum:M,totalRows:F,totalPages:t,dataView:s}}function G(t,r){v=r,n=t,e=null,!1===r&&g.reverse(),g.sort(t),!1===r&&g.reverse(),f={},E(),Z()}function D(t,r){v=r,e=t,n=null;var i=Object.prototype.toString;Object.prototype.toString=\"function\"==typeof t?t:function(){return this[t]},!1===r&&g.reverse(),g.sort(),Object.prototype.toString=i,!1===r&&g.reverse(),f={},E(),Z()}function P(e){t.groupItemMetadataProvider||(t.groupItemMetadataProvider=new i.Data.GroupItemMetadataProvider),R=[],x=[],C=(e=e||[])instanceof Array?e:[e];for(var n=0;n<C.length;n++){var o=C[n]=r.extend(!0,{},I,C[n]);o.getterIsAFn=\"function\"==typeof o.getter,o.compiledAccumulators=[];for(var a=o.aggregators.length;a--;)o.compiledAccumulators[a]=W(o.aggregators[a]);x[n]={}}Z()}function j(){if(!p){p={};for(var t=0,e=c.length;t<e;t++)p[c[t][u]]=t}}function z(t){return g[f[t]]}function B(t,e){if(void 0===f[t]||t!==e[u])throw new Error(\"Invalid or non-matching id\");g[f[t]]=e,d||(d={}),d[t]=!0,Z()}function V(t,e){g.splice(t,0,e),E(t),Z()}function O(t){var e=f[t];if(void 0===e)throw new Error(\"Invalid id\");delete f[t],g.splice(e,1),E(e),Z()}function q(t){if(!n)throw new Error(\"sortedAddItem() requires a sort comparer, use sort()\");V(function(t){var e=0,r=g.length;for(;e<r;){var i=e+r>>>1;-1===n(g[i],t)?e=i+1:r=i}return e}(t),t)}function K(t,e){if(null==t)for(var n=0;n<C.length;n++)x[n]={},C[n].collapsed=e;else x[t]={},C[t].collapsed=e;Z()}function U(t,e,n){x[t][e]=C[t].collapsed^n,Z()}function L(t){var e,n=t.group,r=C[n.level],i=n.level==C.length,o=r.aggregators.length;if(!i&&r.aggregateChildGroups)for(var a=n.groups.length;a--;)n.groups[a].totals.initialized||L(n.groups[a].totals);for(;o--;)(e=r.aggregators[o]).init(),!i&&r.aggregateChildGroups?r.compiledAccumulators[o].call(e,n.groups):r.compiledAccumulators[o].call(e,n.rows),e.storeResult(t);t.initialized=!0}function k(t){var e=C[t.level],n=new i.GroupTotals;n.group=t,t.totals=n,e.lazyTotalsCalculation||L(n)}function H(t){var e=t.toString().match(/^function[^(]*\\(([^)]*)\\)\\s*{([\\s\\S]*)}$/);return{params:e[1].split(\",\"),body:e[2]}}function W(t){var e=H(t.accumulate),n=new Function(\"_items\",\"for (var \"+e.params[0]+\", _i=0, _il=_items.length; _i<_il; _i++) {\"+e.params[0]+\" = _items[_i]; \"+e.body+\"}\");return n.displayName=n.name=\"compiledAccumulatorLoop\",n}function J(t,e){for(var n=[],r=0,i=0,o=t.length;i<o;i++)h(t[i],e)&&(n[r++]=t[i]);return n}function Q(t,e,n){for(var r,i=[],o=0,a=0,l=t.length;a<l;a++)r=t[a],n[a]?i[o++]=r:h(r,e)&&(i[o++]=r,n[a]=!0);return i}function X(e){if(h){var n=t.inlineFilters?a:J,r=t.inlineFilters?l:Q;_.isFilterNarrowing?$=n($,o):_.isFilterExpanding?$=r(e,o,y):_.isFilterUnchanged||($=n(e,o))}else $=b?e:e.concat();var i;return b?($.length<=M*b&&(M=0===$.length?0:Math.floor(($.length-1)/b)),i=$.slice(b*M,b*M+b)):i=$,{totalRows:$.length,rows:i}}function Y(t){p=null,_.isFilterNarrowing==w.isFilterNarrowing&&_.isFilterExpanding==w.isFilterExpanding||(y=[]);var e=X(t);F=e.totalRows;var n=e.rows;R=[],C.length&&(R=function t(e,n){for(var r,o,a,l=[],s={},u=n?n.level+1:0,g=C[u],c=0,f=g.predefinedValues.length;c<f;c++)(r=s[o=g.predefinedValues[c]])||((r=new i.Group).value=o,r.level=u,r.groupingKey=(n?n.groupingKey+\":|:\":\"\")+o,l[l.length]=r,s[o]=r);for(c=0,f=e.length;c<f;c++)a=e[c],(r=s[o=g.getterIsAFn?g.getter(a):a[g.getter]])||((r=new i.Group).value=o,r.level=u,r.groupingKey=(n?n.groupingKey+\":|:\":\"\")+o,l[l.length]=r,s[o]=r),r.rows[r.count++]=a;if(u<C.length-1)for(c=0;c<l.length;c++)(r=l[c]).groups=t(r.rows,r);return l.sort(C[u].comparer),l}(n)).length&&(!function t(e,n){for(var r,i=C[n=n||0],o=i.collapsed,a=x[n],l=e.length;l--;)(r=e[l]).collapsed&&!i.aggregateCollapsed||(r.groups&&t(r.groups,n+1),i.aggregators.length&&(i.aggregateEmpty||r.rows.length||r.groups&&r.groups.length)&&k(r),r.collapsed=o^a[r.groupingKey],r.title=i.formatter?i.formatter(r):r.value)}(R),n=function t(e,n){for(var r,i,o=C[n=n||0],a=[],l=0,s=0,u=e.length;s<u;s++){if(i=e[s],a[l++]=i,!i.collapsed)for(var g=0,c=(r=i.groups?t(i.groups,n+1):i.rows).length;g<c;g++)a[l++]=r[g];i.totals&&o.displayTotalsRow&&(!i.collapsed||o.aggregateCollapsed)&&(a[l++]=i.totals)}return a}(R));var r=function(t,e){var n,r,i,o=[],a=0,l=e.length;_&&_.ignoreDiffsBefore&&(a=Math.max(0,Math.min(e.length,_.ignoreDiffsBefore))),_&&_.ignoreDiffsAfter&&(l=Math.min(e.length,Math.max(0,_.ignoreDiffsAfter)));for(var s=a,g=t.length;s<l;s++)s>=g?o[o.length]=s:(n=e[s],r=t[s],(C.length&&(i=n.__nonDataRow||r.__nonDataRow)&&n.__group!==r.__group||n.__group&&!n.equals(r)||i&&(n.__groupTotals||r.__groupTotals)||n[u]!=r[u]||d&&d[n[u]])&&(o[o.length]=s));return o}(c,n);return c=n,r}function Z(){if(!m){var t=c.length,e=F,n=Y(g);b&&F<M*b&&(M=Math.max(0,Math.ceil(F/b)-1),n=Y(g)),d=null,w=_,_={},e!==F&&N.notify(T(),null,s),t!==c.length&&A.notify({previous:t,current:c.length,dataView:s},null,s),n.length>0&&S.notify({rows:n,dataView:s},null,s)}}t=r.extend(!0,{},{groupItemMetadataProvider:null,inlineFilters:!1},t),r.extend(this,{beginUpdate:function(){m=!0},endUpdate:function(){m=!1,Z()},setPagingOptions:function(t){null!=t.pageSize&&(b=t.pageSize,M=b?Math.min(M,Math.max(0,Math.ceil(F/b)-1)):0),null!=t.pageNum&&(M=Math.min(t.pageNum,Math.max(0,Math.ceil(F/b)-1))),N.notify(T(),null,s),Z()},getPagingInfo:T,getItems:function(){return g},setItems:function(t,e){void 0!==e&&(u=e),g=$=t,f={},E(),function(){for(var t,e=0,n=g.length;e<n;e++)if(void 0===(t=g[e][u])||f[t]!==e)throw new Error(\"Each data element must implement a unique 'id' property\")}(),Z()},setFilter:function(e){h=e,t.inlineFilters&&(a=function(){var t=H(h),e=\"{ _retval[_idx++] = $item$; 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}$1\").replace(/return true\\s*([;}]|\\}|$)/gi,e).replace(/return!0([;}]|\\}|$)/gi,e).replace(/return ([^;}]+?)\\s*([;}]|$)/gi,\"{ if ((_cache[_i] = $1)) { _retval[_idx++] = $item$; }; continue _coreloop; }$2\"),r=[\"var _retval = [], _idx = 0; \",\"var $item$, $args$ = _args; \",\"_coreloop: \",\"for (var _i = 0, _il = _items.length; _i < _il; _i++) { \",\"$item$ = _items[_i]; \",\"if (_cache[_i]) { \",\"_retval[_idx++] = $item$; \",\"continue _coreloop; \",\"} \",\"$filter$; \",\"} \",\"return _retval; \"].join(\"\");r=(r=(r=r.replace(/\\$filter\\$/gi,n)).replace(/\\$item\\$/gi,t.params[0])).replace(/\\$args\\$/gi,t.params[1]);var i=new Function(\"_items,_args,_cache\",r);return i.displayName=i.name=\"compiledFilterWithCaching\",i}()),Z()},getFilter:function(){return h},getFilteredItems:function(){return $},sort:G,fastSort:D,reSort:function(){n?G(n,v):e&&D(e,v)},setGrouping:P,getGrouping:function(){return C},groupBy:function(t,e,n){P(null!=t?{getter:t,formatter:e,comparer:n}:[])},setAggregators:function(t,e){if(!C.length)throw new Error(\"At least one grouping must be specified before calling setAggregators().\");C[0].aggregators=t,C[0].aggregateCollapsed=e,P(C)},collapseAllGroups:function(t){K(t,!0)},expandAllGroups:function(t){K(t,!1)},collapseGroup:function(t){var e=Array.prototype.slice.call(arguments),n=e[0];1==e.length&&-1!=n.indexOf(\":|:\")?U(n.split(\":|:\").length-1,n,!0):U(e.length-1,e.join(\":|:\"),!0)},expandGroup:function(t){var e=Array.prototype.slice.call(arguments),n=e[0];1==e.length&&-1!=n.indexOf(\":|:\")?U(n.split(\":|:\").length-1,n,!1):U(e.length-1,e.join(\":|:\"),!1)},getGroups:function(){return R},getIdxById:function(t){return f[t]},getRowByItem:function(t){return j(),p[t[u]]},getRowById:function(t){return j(),p[t]},getItemById:z,getItemByIdx:function(t){return g[t]},mapItemsToRows:function(t){var e=[];j();for(var n=0,r=t.length;n<r;n++){var i=p[t[n][u]];null!=i&&(e[e.length]=i)}return e},mapRowsToIds:function(t){for(var e=[],n=0,r=t.length;n<r;n++)t[n]<c.length&&(e[e.length]=c[t[n]][u]);return e},mapIdsToRows:function(t){var e=[];j();for(var n=0,r=t.length;n<r;n++){var i=p[t[n]];null!=i&&(e[e.length]=i)}return e},setRefreshHints:function(t){_=t},setFilterArgs:function(t){o=t},refresh:Z,updateItem:B,insertItem:V,addItem:function(t){g.push(t),E(g.length-1),Z()},deleteItem:O,sortedAddItem:q,sortedUpdateItem:function(t,e){if(void 0===f[t]||t!==e[u])throw new Error(\"Invalid or non-matching id \"+f[t]);if(!n)throw new Error(\"sortedUpdateItem() requires a sort comparer, use sort()\");var r=z(t);0!==n(r,e)?(O(t),q(e)):B(t,e)},syncGridSelection:function(t,e,n){var o,a=this,l=a.mapRowsToIds(t.getSelectedRows()),s=new i.Event;function u(e){l.join(\",\")!=e.join(\",\")&&(l=e,s.notify({grid:t,ids:l,dataView:a},new i.EventData,a))}function g(){if(l.length>0){o=!0;var n=a.mapIdsToRows(l);e||u(a.mapRowsToIds(n)),t.setSelectedRows(n),o=!1}}return t.onSelectedRowsChanged.subscribe((function(e,i){if(!o){var s=a.mapRowsToIds(t.getSelectedRows());if(n&&t.getOptions().multiSelect)u(r.grep(l,(function(t){return void 0===a.getRowById(t)})).concat(s));else u(s)}})),this.onRowsChanged.subscribe(g),this.onRowCountChanged.subscribe(g),s},syncGridCellCssStyles:function(t,e){var n,r;function i(t){for(var e in n={},t){var r=c[e][u];n[r]=t[e]}}function o(){if(n){r=!0,j();var i={};for(var o in n){var a=p[o];null!=a&&(i[a]=n[o])}t.setCellCssStyles(e,i),r=!1}}i(t.getCellCssStyles(e)),t.onCellCssStylesChanged.subscribe((function(n,a){r||e==a.key&&(a.hash?i(a.hash):(t.onCellCssStylesChanged.unsubscribe(styleChanged),s.onRowsChanged.unsubscribe(o),s.onRowCountChanged.unsubscribe(o)))})),this.onRowsChanged.subscribe(o),this.onRowCountChanged.subscribe(o)},getLength:function(){return c.length},getItem:function(t){var e=c[t];if(e&&e.__group&&e.totals&&!e.totals.initialized){var n=C[e.level];n.displayTotalsRow||(L(e.totals),e.title=n.formatter?n.formatter(e):e.value)}else e&&e.__groupTotals&&!e.initialized&&L(e);return e},getItemMetadata:function(e){var n=c[e];return void 0===n?null:n.__group?t.groupItemMetadataProvider.getGroupRowMetadata(n):n.__groupTotals?t.groupItemMetadataProvider.getTotalsRowMetadata(n):null},onRowCountChanged:A,onRowsChanged:S,onPagingInfoChanged:N})},Aggregators:o,Data:{Aggregators:o}}},\n",
+       "      453: function _(e,t,i){var n=e(443),o=e(445);function l(e){var t,i;function o(){var t=e.column.editorFixedDecimalPlaces;return void 0===t&&(t=l.DefaultDecimalPlaces),t||0===t?t:null}this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field];var l=o();null!==l&&(i||0===i)&&i.toFixed&&(i=i.toFixed(l)),t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){var e=parseFloat(t.val());l.AllowEmptyValue?e||0===e||(e=\"\"):e=e||0;var i=o();return null!==i&&(e||0===e)&&e.toFixed&&(e=parseFloat(e.toFixed(i))),e},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid number\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}function a(e){var t=this.selectionStart,i=this.value.length;(e.keyCode===n.ui.keyCode.LEFT&&t>0||e.keyCode===n.ui.keyCode.RIGHT&&t<i-1)&&e.stopImmediatePropagation()}function s(e){e.keyCode!==n.ui.keyCode.LEFT&&e.keyCode!==n.ui.keyCode.RIGHT||e.stopImmediatePropagation()}l.DefaultDecimalPlaces=null,l.AllowEmptyValue=!1,t.exports={Editors:{Text:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.getValue=function(){return t.val()},this.setValue=function(e){t.val(e)},this.loadValue=function(n){i=n[e.column.field]||\"\",t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Integer:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid integer\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Float:l,Date:function(e){var t,i,o=!1;this.init=function(){(t=n(\"<INPUT type=text class='editor-text' />\")).appendTo(e.container),t.focus().select(),t.datepicker({showOn:\"button\",buttonImageOnly:!0,beforeShow:function(){o=!0},onClose:function(){o=!1}}),t.width(t.width()-18)},this.destroy=function(){n.datepicker.dpDiv.stop(!0,!0),t.datepicker(\"hide\"),t.datepicker(\"destroy\"),t.remove()},this.show=function(){o&&n.datepicker.dpDiv.stop(!0,!0).show()},this.hide=function(){o&&n.datepicker.dpDiv.stop(!0,!0).hide()},this.position=function(e){o&&n.datepicker.dpDiv.css(\"top\",e.top+30).css(\"left\",e.left)},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},YesNoSelect:function(e){var t,i;this.init=function(){(t=n(\"<SELECT tabIndex='0' class='editor-yesno'><OPTION value='yes'>Yes</OPTION><OPTION value='no'>No</OPTION></SELECT>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){t.val((i=n[e.column.field])?\"yes\":\"no\"),t.select()},this.serializeValue=function(){return\"yes\"==t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return t.val()!=i},this.validate=function(){return{valid:!0,msg:null}},this.init()},Checkbox:function(e){var t,i;this.init=function(){(t=n(\"<INPUT type=checkbox value='true' class='editor-checkbox' hideFocus>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){(i=!!n[e.column.field])?t.prop(\"checked\",!0):t.prop(\"checked\",!1)},this.preClick=function(){t.prop(\"checked\",!t.prop(\"checked\"))},this.serializeValue=function(){return t.prop(\"checked\")},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return this.serializeValue()!==i},this.validate=function(){return{valid:!0,msg:null}},this.init()},PercentComplete:function(e){var t,i,o;this.init=function(){(t=n(\"<INPUT type=text class='editor-percentcomplete' />\")).width(n(e.container).innerWidth()-25),t.appendTo(e.container),(i=n(\"<div class='editor-percentcomplete-picker' />\").appendTo(e.container)).append(\"<div class='editor-percentcomplete-helper'><div class='editor-percentcomplete-wrapper'><div class='editor-percentcomplete-slider' /><div class='editor-percentcomplete-buttons' /></div></div>\"),i.find(\".editor-percentcomplete-buttons\").append(\"<button val=0>Not started</button><br/><button val=50>In Progress</button><br/><button val=100>Complete</button>\"),t.focus().select(),i.find(\".editor-percentcomplete-slider\").slider({orientation:\"vertical\",range:\"min\",value:o,slide:function(e,i){t.val(i.value)}}),i.find(\".editor-percentcomplete-buttons button\").on(\"click\",(function(e){t.val(n(this).attr(\"val\")),i.find(\".editor-percentcomplete-slider\").slider(\"value\",n(this).attr(\"val\"))}))},this.destroy=function(){t.remove(),i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(o=i[e.column.field]),t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==o)&&(parseInt(t.val(),10)||0)!=o},this.validate=function(){return isNaN(parseInt(t.val(),10))?{valid:!1,msg:\"Please enter a valid positive number\"}:{valid:!0,msg:null}},this.init()},LongText:function(e){var t,i,l,a=this;this.init=function(){var o=n(\"body\");e.grid.getOptions().editorCellNavOnLRKeys;i=n(\"<DIV style='z-index:10000;position:absolute;background:white;padding:5px;border:3px solid gray; -moz-border-radius:10px; border-radius:10px;'/>\").appendTo(o),t=n(\"<TEXTAREA hidefocus rows=5 style='background:white;width:250px;height:80px;border:0;outline:0'>\").appendTo(i),n(\"<DIV style='text-align:right'><BUTTON>Save</BUTTON><BUTTON>Cancel</BUTTON></DIV>\").appendTo(i),i.find(\"button:first\").on(\"click\",this.save),i.find(\"button:last\").on(\"click\",this.cancel),t.on(\"keydown\",this.handleKeyDown),a.position(e.position),t.focus().select()},this.handleKeyDown=function(t){if(t.which==o.keyCode.ENTER&&t.ctrlKey)a.save();else if(t.which==o.keyCode.ESCAPE)t.preventDefault(),a.cancel();else if(t.which==o.keyCode.TAB&&t.shiftKey)t.preventDefault(),e.grid.navigatePrev();else if(t.which==o.keyCode.TAB)t.preventDefault(),e.grid.navigateNext();else if((t.which==n.ui.keyCode.LEFT||t.which==n.ui.keyCode.RIGHT)&&e.grid.getOptions().editorCellNavOnLRKeys){var i=this.selectionStart,l=this.value.length;t.keyCode===n.ui.keyCode.LEFT&&0===i&&e.grid.navigatePrev(),t.keyCode===n.ui.keyCode.RIGHT&&i>=l-1&&e.grid.navigateNext()}},this.save=function(){e.commitChanges()},this.cancel=function(){t.val(l),e.cancelChanges()},this.hide=function(){i.hide()},this.show=function(){i.show()},this.position=function(e){i.css(\"top\",e.top-5).css(\"left\",e.left-5)},this.destroy=function(){i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(l=i[e.column.field]),t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==l)&&t.val()!=l},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}}}},\n",
+       "      454: function _(e,n,r){e(445);n.exports={Formatters:{PercentComplete:function(e,n,r,t,c){return null==r||\"\"===r?\"-\":r<50?\"<span style='color:red;font-weight:bold;'>\"+r+\"%</span>\":\"<span style='color:green'>\"+r+\"%</span>\"},PercentCompleteBar:function(e,n,r,t,c){return null==r||\"\"===r?\"\":\"<span class='percent-complete-bar' style='background:\"+(r<30?\"red\":r<70?\"silver\":\"green\")+\";width:\"+r+\"%'></span>\"},YesNo:function(e,n,r,t,c){return r?\"Yes\":\"No\"},Checkmark:function(e,n,r,t,c){return r?\"<img src='../images/tick.png'>\":\"\"},Checkbox:function(e,n,r,t,c){return'<img class=\"slick-edit-preclick\" src=\"../images/'+(r?\"CheckboxY\":\"CheckboxN\")+'.png\">'}}}},\n",
+       "      455: function _(t,o,r){var e=t(443),n=t(445);o.exports={RemoteModel:function(){var t={length:0},o=\"\",r=null,a=1,l=null,i=null,s=new n.Event,u=new n.Event;function f(){for(var o in t)delete t[o];t.length=0}function c(n,f){if(i){i.abort();for(var c=i.fromPage;c<=i.toPage;c++)t[50*c]=void 0}n<0&&(n=0),t.length>0&&(f=Math.min(f,t.length-1));for(var d=Math.floor(n/50),v=Math.floor(f/50);void 0!==t[50*d]&&d<v;)d++;for(;void 0!==t[50*v]&&d<v;)v--;if(d>v||d==v&&void 0!==t[50*d])u.notify({from:n,to:f});else{var m=\"http://octopart.com/api/v3/parts/search?apikey=68b25f31&include[]=short_description&show[]=uid&show[]=manufacturer&show[]=mpn&show[]=brand&show[]=octopart_url&show[]=short_description&q=\"+o+\"&start=\"+50*d+\"&limit=\"+(50*(v-d)+50);null!=r&&(m+=\"&sortby=\"+r+(a>0?\"+asc\":\"+desc\")),null!=l&&clearTimeout(l),l=setTimeout((function(){for(var o=d;o<=v;o++)t[50*o]=null;s.notify({from:n,to:f}),(i=e.jsonp({url:m,callbackParameter:\"callback\",cache:!0,success:h,error:function(){!function(t,o){alert(\"error loading pages \"+t+\" to \"+o)}(d,v)}})).fromPage=d,i.toPage=v}),50)}}function h(o){var r=o.request.start,e=r+o.results.length;t.length=Math.min(parseInt(o.hits),1e3);for(var n=0;n<o.results.length;n++){var a=o.results[n].item;t[r+n]=a,t[r+n].index=r+n}i=null,u.notify({from:r,to:e})}return{data:t,clear:f,isDataLoaded:function(o,r){for(var e=o;e<=r;e++)if(null==t[e]||null==t[e])return!1;return!0},ensureData:c,reloadData:function(o,r){for(var e=o;e<=r;e++)delete t[e];c(o,r)},setSort:function(t,o){r=t,a=o,f()},setSearch:function(t){o=t,f()},onDataLoading:s,onDataLoaded:u}}}},\n",
+       "      456: function _(e,s,t){var a=e(443),o=e(445);s.exports={GroupItemMetadataProvider:function(e){var s,t={checkboxSelect:!1,checkboxSelectCssClass:\"slick-group-select-checkbox\",checkboxSelectPlugin:null,groupCssClass:\"slick-group\",groupTitleCssClass:\"slick-group-title\",totalsCssClass:\"slick-group-totals\",groupFocusable:!0,totalsFocusable:!1,toggleCssClass:\"slick-group-toggle\",toggleExpandedCssClass:\"expanded\",toggleCollapsedCssClass:\"collapsed\",enableExpandCollapse:!0,groupFormatter:function(s,t,a,o,l,c){if(!e.enableExpandCollapse)return l.title;var r=15*l.level+\"px\";return(e.checkboxSelect?'<span class=\"'+e.checkboxSelectCssClass+\" \"+(l.selectChecked?\"checked\":\"unchecked\")+'\"></span>':\"\")+\"<span class='\"+e.toggleCssClass+\" \"+(l.collapsed?e.toggleCollapsedCssClass:e.toggleExpandedCssClass)+\"' style='margin-left:\"+r+\"'></span><span class='\"+e.groupTitleCssClass+\"' level='\"+l.level+\"'>\"+l.title+\"</span>\"},totalsFormatter:function(e,s,t,a,o,l){return a.groupTotalsFormatter&&a.groupTotalsFormatter(o,a,l)||\"\"}};function l(t,l){var c=a(t.target),r=this.getDataItem(l.row);if(r&&r instanceof o.Group&&c.hasClass(e.toggleCssClass)){var n=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:n.top,ignoreDiffsAfter:n.bottom+1}),r.collapsed?this.getData().expandGroup(r.groupingKey):this.getData().collapseGroup(r.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}if(r&&r instanceof o.Group&&c.hasClass(e.checkboxSelectCssClass)){r.selectChecked=!r.selectChecked,c.removeClass(r.selectChecked?\"unchecked\":\"checked\"),c.addClass(r.selectChecked?\"checked\":\"unchecked\");var i=s.getData().mapItemsToRows(r.rows);(r.selectChecked?e.checkboxSelectPlugin.selectRows:e.checkboxSelectPlugin.deSelectRows)(i)}}function c(t,a){if(e.enableExpandCollapse&&t.which==o.keyCode.SPACE){var l=this.getActiveCell();if(l){var c=this.getDataItem(l.row);if(c&&c instanceof o.Group){var r=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:r.top,ignoreDiffsAfter:r.bottom+1}),c.collapsed?this.getData().expandGroup(c.groupingKey):this.getData().collapseGroup(c.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}}}}return e=a.extend(!0,{},t,e),{init:function(e){(s=e).onClick.subscribe(l),s.onKeyDown.subscribe(c)},destroy:function(){s&&(s.onClick.unsubscribe(l),s.onKeyDown.unsubscribe(c))},getGroupRowMetadata:function(s){return{selectable:!1,focusable:e.groupFocusable,cssClasses:e.groupCssClass,columns:{0:{colspan:\"*\",formatter:e.groupFormatter,editor:null}}}},getTotalsRowMetadata:function(s){return{selectable:!1,focusable:e.totalsFocusable,cssClasses:e.totalsCssClass,formatter:e.totalsFormatter,editor:null}}}}}},\n",
+       "      457: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),n=e(458),c=e(98),a=s.__importStar(e(18));class o extends n.Widget{constructor(e){super(e)}static init_TableWidget(){this.define({source:[a.Instance],view:[a.Instance,()=>new c.CDSView]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.source,this.view.compute_indices())}}t.TableWidget=o,o.__name__=\"TableWidget\",o.init_TableWidget()},\n",
+       "      458: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(249),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n",
+       "      459: function _(e,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_data_table=\"bk-data-table\",b.bk_cell_index=\"bk-cell-index\",b.bk_header_index=\"bk-header-index\",b.bk_cell_editor=\"bk-cell-editor\",b.bk_cell_select=\"bk-cell-select\"},\n",
+       "      460: function _(A,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default='\\n.bk-root {\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /* Menu button */\\n  /* Menu */\\n  /* Menu items */\\n  /* Disabled */\\n}\\n.bk-root .slick-header.ui-state-default,\\n.bk-root .slick-headerrow.ui-state-default,\\n.bk-root .slick-footerrow.ui-state-default,\\n.bk-root .slick-top-panel-scroller.ui-state-default {\\n  width: 100%;\\n  overflow: auto;\\n  position: relative;\\n  border-left: 0px !important;\\n}\\n.bk-root .slick-header.ui-state-default {\\n  overflow: inherit;\\n}\\n.bk-root .slick-header::-webkit-scrollbar,\\n.bk-root .slick-headerrow::-webkit-scrollbar,\\n.bk-root .slick-footerrow::-webkit-scrollbar {\\n  display: none;\\n}\\n.bk-root .slick-header-columns,\\n.bk-root .slick-headerrow-columns,\\n.bk-root .slick-footerrow-columns {\\n  position: relative;\\n  white-space: nowrap;\\n  cursor: default;\\n  overflow: hidden;\\n}\\n.bk-root .slick-header-column.ui-state-default {\\n  position: relative;\\n  display: inline-block;\\n  box-sizing: content-box !important;\\n  /* this here only for Firefox! */\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  height: 16px;\\n  line-height: 16px;\\n  margin: 0;\\n  padding: 4px;\\n  border-right: 1px solid silver;\\n  border-left: 0px !important;\\n  border-top: 0px !important;\\n  border-bottom: 0px !important;\\n  float: left;\\n}\\n.bk-root .slick-headerrow-column.ui-state-default,\\n.bk-root .slick-footerrow-column.ui-state-default {\\n  padding: 4px;\\n}\\n.bk-root .slick-header-column-sorted {\\n  font-style: italic;\\n}\\n.bk-root .slick-sort-indicator {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 6px;\\n  float: left;\\n}\\n.bk-root .slick-sort-indicator-numbered {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 0;\\n  line-height: 20px;\\n  float: left;\\n  font-family: Arial;\\n  font-style: normal;\\n  font-weight: bold;\\n  color: #6190CD;\\n}\\n.bk-root .slick-sort-indicator-desc {\\n  background: url(images/sort-desc.gif);\\n}\\n.bk-root .slick-sort-indicator-asc {\\n  background: url(images/sort-asc.gif);\\n}\\n.bk-root .slick-resizable-handle {\\n  position: absolute;\\n  font-size: 0.1px;\\n  display: block;\\n  cursor: col-resize;\\n  width: 9px;\\n  right: -5px;\\n  top: 0;\\n  height: 100%;\\n  z-index: 1;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver;\\n}\\n.bk-root .grid-canvas {\\n  position: relative;\\n  outline: 0;\\n}\\n.bk-root .slick-row.ui-widget-content,\\n.bk-root .slick-row.ui-state-active {\\n  position: absolute;\\n  border: 0px;\\n  width: 100%;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column,\\n.bk-root .slick-footerrow-column {\\n  position: absolute;\\n  border: 1px solid transparent;\\n  border-right: 1px dotted silver;\\n  border-bottom-color: silver;\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  vertical-align: middle;\\n  z-index: 1;\\n  padding: 1px 2px 2px 1px;\\n  margin: 0;\\n  white-space: nowrap;\\n  cursor: default;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column {\\n  border-bottom-color: silver;\\n}\\n.bk-root .slick-footerrow-column {\\n  border-top-color: silver;\\n}\\n.bk-root .slick-group-toggle {\\n  display: inline-block;\\n}\\n.bk-root .slick-cell.highlighted {\\n  background: lightskyblue;\\n  background: rgba(0, 0, 255, 0.2);\\n  -webkit-transition: all 0.5s;\\n  -moz-transition: all 0.5s;\\n  -o-transition: all 0.5s;\\n  transition: all 0.5s;\\n}\\n.bk-root .slick-cell.flashing {\\n  border: 1px solid red !important;\\n}\\n.bk-root .slick-cell.editable {\\n  z-index: 11;\\n  overflow: visible;\\n  background: white;\\n  border-color: black;\\n  border-style: solid;\\n}\\n.bk-root .slick-cell:focus {\\n  outline: none;\\n}\\n.bk-root .slick-reorder-proxy {\\n  display: inline-block;\\n  background: blue;\\n  opacity: 0.15;\\n  cursor: move;\\n}\\n.bk-root .slick-reorder-guide {\\n  display: inline-block;\\n  height: 2px;\\n  background: blue;\\n  opacity: 0.7;\\n}\\n.bk-root .slick-selection {\\n  z-index: 10;\\n  position: absolute;\\n  border: 2px dashed black;\\n}\\n.bk-root .slick-header-columns {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-bottom: 1px solid silver;\\n}\\n.bk-root .slick-header-column {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-right: 1px solid silver;\\n}\\n.bk-root .slick-header-column:hover,\\n.bk-root .slick-header-column-active {\\n  background: white url(\\'images/header-columns-over-bg.gif\\') repeat-x center bottom;\\n}\\n.bk-root .slick-headerrow {\\n  background: #fafafa;\\n}\\n.bk-root .slick-headerrow-column {\\n  background: #fafafa;\\n  border-bottom: 0;\\n  height: 100%;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row {\\n  position: absolute;\\n  background: white;\\n  border: 0px;\\n  line-height: 20px;\\n}\\n.bk-root .slick-row.selected {\\n  z-index: 10;\\n  background: #DFE8F6;\\n}\\n.bk-root .slick-cell {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .slick-group {\\n  border-bottom: 2px solid silver;\\n}\\n.bk-root .slick-group-toggle {\\n  width: 9px;\\n  height: 9px;\\n  margin-right: 5px;\\n}\\n.bk-root .slick-group-toggle.expanded {\\n  background: url(images/collapse.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-toggle.collapsed {\\n  background: url(images/expand.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-totals {\\n  color: gray;\\n  background: white;\\n}\\n.bk-root .slick-group-select-checkbox {\\n  width: 13px;\\n  height: 13px;\\n  margin: 3px 10px 0 0;\\n  display: inline-block;\\n}\\n.bk-root .slick-group-select-checkbox.checked {\\n  background: url(images/GrpCheckboxY.png) no-repeat center center;\\n}\\n.bk-root .slick-group-select-checkbox.unchecked {\\n  background: url(images/GrpCheckboxN.png) no-repeat center center;\\n}\\n.bk-root .slick-cell.selected {\\n  background-color: beige;\\n}\\n.bk-root .slick-cell.active {\\n  border-color: gray;\\n  border-style: solid;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver !important;\\n}\\n.bk-root .slick-row.odd {\\n  background: #fafafa;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row.loading {\\n  opacity: 0.5;\\n}\\n.bk-root .slick-cell.invalid {\\n  border-color: red;\\n  -moz-animation-duration: 0.2s;\\n  -webkit-animation-duration: 0.2s;\\n  -moz-animation-name: slickgrid-invalid-hilite;\\n  -webkit-animation-name: slickgrid-invalid-hilite;\\n}\\n@-moz-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n@-webkit-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n.bk-root .slick-column-name,\\n.bk-root .slick-sort-indicator {\\n  /**\\n   * This makes all \"float:right\" elements after it that spill over to the next line\\n   * display way below the lower boundary of the column thus hiding them.\\n   */\\n  display: inline-block;\\n  float: left;\\n  margin-bottom: 100px;\\n}\\n.bk-root .slick-header-button {\\n  display: inline-block;\\n  float: right;\\n  vertical-align: top;\\n  margin: 1px;\\n  /**\\n  * This makes all \"float:right\" elements after it that spill over to the next line\\n  * display way below the lower boundary of the column thus hiding them.\\n  */\\n  margin-bottom: 100px;\\n  height: 15px;\\n  width: 15px;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-button-hidden {\\n  width: 0;\\n  -webkit-transition: 0.2s width;\\n  -ms-transition: 0.2s width;\\n  transition: 0.2s width;\\n}\\n.bk-root .slick-header-column:hover > .slick-header-button {\\n  width: 15px;\\n}\\n.bk-root .slick-header-menubutton {\\n  position: absolute;\\n  right: 0;\\n  top: 0;\\n  bottom: 0;\\n  width: 14px;\\n  background-repeat: no-repeat;\\n  background-position: left center;\\n  background-image: url(../images/down.gif);\\n  cursor: pointer;\\n  display: none;\\n  border-left: thin ridge silver;\\n}\\n.bk-root .slick-header-column:hover > .slick-header-menubutton,\\n.bk-root .slick-header-column-active .slick-header-menubutton {\\n  display: inline-block;\\n}\\n.bk-root .slick-header-menu {\\n  position: absolute;\\n  display: inline-block;\\n  margin: 0;\\n  padding: 2px;\\n  cursor: default;\\n}\\n.bk-root .slick-header-menuitem {\\n  list-style: none;\\n  margin: 0;\\n  padding: 0;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-menuicon {\\n  display: inline-block;\\n  width: 16px;\\n  height: 16px;\\n  vertical-align: middle;\\n  margin-right: 4px;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .slick-header-menucontent {\\n  display: inline-block;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-header-menuitem-disabled {\\n  color: silver;\\n}\\n.bk-root .slick-columnpicker {\\n  border: 1px solid #718BB7;\\n  background: #f0f0f0;\\n  padding: 6px;\\n  -moz-box-shadow: 2px 2px 2px silver;\\n  -webkit-box-shadow: 2px 2px 2px silver;\\n  box-shadow: 2px 2px 2px silver;\\n  min-width: 150px;\\n  cursor: default;\\n  position: absolute;\\n  z-index: 20;\\n  overflow: auto;\\n  resize: both;\\n}\\n.bk-root .slick-columnpicker > .close {\\n  float: right;\\n}\\n.bk-root .slick-columnpicker .title {\\n  font-size: 16px;\\n  width: 60%;\\n  border-bottom: solid 1px #d6d6d6;\\n  margin-bottom: 10px;\\n}\\n.bk-root .slick-columnpicker li {\\n  list-style: none;\\n  margin: 0;\\n  padding: 0;\\n  background: none;\\n}\\n.bk-root .slick-columnpicker input {\\n  margin: 4px;\\n}\\n.bk-root .slick-columnpicker li a {\\n  display: block;\\n  padding: 4px;\\n  font-weight: bold;\\n}\\n.bk-root .slick-columnpicker li a:hover {\\n  background: white;\\n}\\n.bk-root .slick-pager {\\n  width: 100%;\\n  height: 26px;\\n  border: 1px solid gray;\\n  border-top: 0;\\n  background: url(\\'../images/header-columns-bg.gif\\') repeat-x center bottom;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-status {\\n  display: inline-block;\\n  padding: 6px;\\n}\\n.bk-root .slick-pager .ui-icon-container {\\n  display: inline-block;\\n  margin: 2px;\\n  border-color: gray;\\n}\\n.bk-root .slick-pager .slick-pager-nav {\\n  display: inline-block;\\n  float: left;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings {\\n  display: block;\\n  float: right;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings * {\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-settings a {\\n  padding: 2px;\\n  text-decoration: underline;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-columns {\\n  background-image: url(\"data:image/gif;base64,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\");\\n}\\n.bk-root .slick-header-column {\\n  background-image: url(\"data:image/gif;base64,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\");\\n}\\n.bk-root .slick-header-column:hover,\\n.bk-root .slick-header-column-active {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhAgAWAIcAAKrM9tno++vz/QAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAAAAP8ALAAAAAACABYAAAgUAAUIHEiwoIAACBMqXMhwIQAAAQEAOw==\");\\n}\\n.bk-root .slick-group-toggle.expanded {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhCQAJAPcAAAFGeoCAgNXz/+v5/+v6/+z5/+36//L7//X8//j9/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAACQAJAAAIMwADCBxIUIDBgwIEChgwwECBAgQUFjBAkaJCABgxGlB4AGHCAAIQiBypEEECkScJqgwQEAA7\");\\n}\\n.bk-root .slick-group-toggle.collapsed {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhCQAJAPcAAAFGeoCAgNXz/+v5/+v6/+z5/+36//L7//X8//j9/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAACQAJAAAIOAADCBxIUIDBgwIEChgwAECBAgQUFjAAQIABAwoBaNSIMYCAAwIqGlSIAEHFkiQTIBCgkqDLAAEBADs=\");\\n}\\n.bk-root .slick-group-select-checkbox.checked {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .slick-group-select-checkbox.unchecked {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAA4AAAAOCAIAAACQKrqGAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAOwQAADsEBuJFr7QAAABl0RVh0U29mdHdhcmUAcGFpbnQubmV0IDQuMC4xNkRpr/UAAACXSURBVChT1dIxC4MwEAXg/v8/VOhQVDBNakV0KA6pxS4JhWRSIYPEJxwdDi1de7wleR+3JIf486w0hKCKRpSvvOhZcCmvNQBRuKqdah03U7UjNNH81rOaBYDo8SQaPX8JANFEaLaGBeAPaaY61rGksiN6TmR5H1j9CSoAosYYHLA7vTxYMvVEZa0liif23r93xjm3/oEYF8PiDn/I2FHCAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .slick-sort-indicator-desc {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDQAFAIcAAGGQzUD/QOPu+wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAMAAAEALAAAAAANAAUAAAgeAAUAGEgQgIAACBEKLHgwYcKFBh1KFNhQosOKEgMCADs=\");\\n}\\n.bk-root .slick-sort-indicator-asc {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDQAFAIcAAGGQzUD/QOPu+wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAMAAAEALAAAAAANAAUAAAgbAAMIDABgoEGDABIeRJhQ4cKGEA8KmEiRosGAADs=\");\\n}\\n.bk-root .slick-header-menubutton {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDgAOAIABADtKYwAAACH5BAEAAAEALAAAAAAOAA4AAAISjI+py+0PHZgUsGobhTn6DxoFADs=\");\\n}\\n.bk-root .slick-pager {\\n  background-image: url(\"data:image/gif;base64,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\");\\n}\\n'},\n",
+       "      461: function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default='\\n.bk-root .bk-data-table {\\n  box-sizing: content-box;\\n  font-size: 11px;\\n}\\n.bk-root .bk-data-table input[type=\"checkbox\"] {\\n  margin-left: 4px;\\n  margin-right: 4px;\\n}\\n.bk-root .bk-cell-special-defaults {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n}\\n.bk-root .bk-cell-select {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n}\\n.bk-root .bk-cell-index {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n  text-align: right;\\n  color: gray;\\n}\\n.bk-root .bk-header-index .slick-column-name {\\n  float: right;\\n}\\n.bk-root .slick-row.selected .bk-cell-index {\\n  background-color: transparent;\\n}\\n.bk-root .slick-cell {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .slick-cell.active {\\n  border-style: dashed;\\n}\\n.bk-root .slick-cell.editable {\\n  padding-left: 0;\\n  padding-right: 0;\\n}\\n.bk-root .bk-cell-editor input,\\n.bk-root .bk-cell-editor select {\\n  width: 100%;\\n  height: 100%;\\n  border: 0;\\n  margin: 0;\\n  padding: 0;\\n  outline: 0;\\n  background: transparent;\\n  vertical-align: baseline;\\n}\\n.bk-root .bk-cell-editor input {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .bk-cell-editor-completion {\\n  font-size: 11px;\\n}\\n'},\n",
+       "      462: function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=i.__importDefault(t(159)),a=i.__importStar(t(161)),n=t(463),s=i.__importStar(t(18)),c=t(68),l=t(8),m=t(71);class _ extends m.Model{constructor(t){super(t)}doFormat(t,e,r,i,o){return null==r?\"\":(r+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}}r.CellFormatter=_,_.__name__=\"CellFormatter\";class u extends _{constructor(t){super(t)}static init_StringFormatter(){this.define({font_style:[s.FontStyle,\"normal\"],text_align:[s.TextAlign,\"left\"],text_color:[s.Color]})}doFormat(t,e,r,i,o){const{font_style:a,text_align:n,text_color:s}=this,l=c.div({},null==r?\"\":\"\"+r);switch(a){case\"bold\":l.style.fontWeight=\"bold\";break;case\"italic\":l.style.fontStyle=\"italic\"}return null!=n&&(l.style.textAlign=n),null!=s&&(l.style.color=s),l.outerHTML}}r.StringFormatter=u,u.__name__=\"StringFormatter\",u.init_StringFormatter();class F extends u{constructor(t){super(t)}static init_ScientificFormatter(){this.define({precision:[s.Number,10],power_limit_high:[s.Number,5],power_limit_low:[s.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}doFormat(t,e,r,i,o){const a=r<=this.scientific_limit_low||r>=this.scientific_limit_high;let n=this.precision;return n<1&&(n=1),r=a?r.toExponential(n):r.toFixed(n).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"),super.doFormat(t,e,r,i,o)}}r.ScientificFormatter=F,F.__name__=\"ScientificFormatter\",F.init_ScientificFormatter();class d extends u{constructor(t){super(t)}static init_NumberFormatter(){this.define({format:[s.String,\"0,0\"],language:[s.String,\"en\"],rounding:[s.RoundingFunction,\"round\"]})}doFormat(t,e,r,i,o){const{format:n,language:s}=this,c=(()=>{switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}})();return r=a.format(r,n,s,c),super.doFormat(t,e,r,i,o)}}r.NumberFormatter=d,d.__name__=\"NumberFormatter\",d.init_NumberFormatter();class g extends _{constructor(t){super(t)}static init_BooleanFormatter(){this.define({icon:[s.String,\"check\"]})}doFormat(t,e,r,i,o){return r?c.i({class:this.icon}).outerHTML:\"\"}}r.BooleanFormatter=g,g.__name__=\"BooleanFormatter\",g.init_BooleanFormatter();class p extends _{constructor(t){super(t)}static init_DateFormatter(){this.define({format:[s.String,\"ISO-8601\"]})}getFormat(){switch(this.format){case\"ATOM\":case\"W3C\":case\"RFC-3339\":case\"ISO-8601\":return\"%Y-%m-%d\";case\"COOKIE\":return\"%a, %d %b %Y\";case\"RFC-850\":return\"%A, %d-%b-%y\";case\"RFC-1123\":case\"RFC-2822\":return\"%a, %e %b %Y\";case\"RSS\":case\"RFC-822\":case\"RFC-1036\":return\"%a, %e %b %y\";case\"TIMESTAMP\":return;default:return this.format}}doFormat(t,e,r,i,a){r=l.isString(r)?parseInt(r,10):r;const n=o.default(r,this.getFormat());return super.doFormat(t,e,n,i,a)}}r.DateFormatter=p,p.__name__=\"DateFormatter\",p.init_DateFormatter();class h extends _{constructor(t){super(t)}static init_HTMLTemplateFormatter(){this.define({template:[s.String,\"<%= value %>\"]})}doFormat(t,e,r,i,o){const{template:a}=this;if(null==r)return\"\";return n._.template(a)(Object.assign(Object.assign({},o),{value:r}))}}r.HTMLTemplateFormatter=h,h.__name__=\"HTMLTemplateFormatter\",h.init_HTMLTemplateFormatter()},\n",
+       "      463: function _(e,n,t){var f=e(464),i=f.template;function o(e,n,t){return i(e,n,t)}o._=f,n.exports=o,\"function\"==typeof define&&define.amd?define((function(){return o})):\"undefined\"==typeof window&&\"undefined\"==typeof navigator||(window.UnderscoreTemplate=o)},\n",
+       "      464: function _(r,e,n){\n",
+       "      //     (c) 2009-2013 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
+       "      //     Underscore may be freely distributed under the MIT license.\n",
+       "      var t={},a=Array.prototype,u=Object.prototype,c=a.slice,o=u.toString,l=u.hasOwnProperty,i=a.forEach,f=Object.keys,s=Array.isArray,p=function(){},_=p.each=p.forEach=function(r,e,n){if(null!=r)if(i&&r.forEach===i)r.forEach(e,n);else if(r.length===+r.length){for(var a=0,u=r.length;a<u;a++)if(e.call(n,r[a],a,r)===t)return}else{var c=p.keys(r);for(a=0,u=c.length;a<u;a++)if(e.call(n,r[c[a]],c[a],r)===t)return}};p.keys=f||function(r){if(r!==Object(r))throw new TypeError(\"Invalid object\");var e=[];for(var n in r)p.has(r,n)&&e.push(n);return e},p.defaults=function(r){return _(c.call(arguments,1),(function(e){if(e)for(var n in e)void 0===r[n]&&(r[n]=e[n])})),r},p.isArray=s||function(r){return\"[object Array]\"===o.call(r)},p.has=function(r,e){if(!p.isArray(e))return null!=r&&l.call(r,e);for(var n=e.length,t=0;t<n;t++){var a=e[t];if(null==r||!l.call(r,a))return!1;r=r[a]}return!!n};var h={escape:{\"&\":\"&amp;\",\"<\":\"&lt;\",\">\":\"&gt;\",'\"':\"&quot;\",\"'\":\"&#x27;\"}},v={escape:new RegExp(\"[\"+p.keys(h.escape).join(\"\")+\"]\",\"g\")};p.each([\"escape\"],(function(r){p[r]=function(e){return null==e?\"\":(\"\"+e).replace(v[r],(function(e){return h[r][e]}))}})),p.templateSettings={evaluate:/<%([\\s\\S]+?)%>/g,interpolate:/<%=([\\s\\S]+?)%>/g,escape:/<%-([\\s\\S]+?)%>/g};var g=/(.)^/,y={\"'\":\"'\",\"\\\\\":\"\\\\\",\"\\r\":\"r\",\"\\n\":\"n\",\"\\t\":\"t\",\"\\u2028\":\"u2028\",\"\\u2029\":\"u2029\"},j=/\\\\|'|\\r|\\n|\\t|\\u2028|\\u2029/g;p.template=function(r,e,n){var t;n=p.defaults({},n,p.templateSettings);var a=new RegExp([(n.escape||g).source,(n.interpolate||g).source,(n.evaluate||g).source].join(\"|\")+\"|$\",\"g\"),u=0,c=\"__p+='\";r.replace(a,(function(e,n,t,a,o){return c+=r.slice(u,o).replace(j,(function(r){return\"\\\\\"+y[r]})),n&&(c+=\"'+\\n((__t=(\"+n+\"))==null?'':_.escape(__t))+\\n'\"),t&&(c+=\"'+\\n((__t=(\"+t+\"))==null?'':__t)+\\n'\"),a&&(c+=\"';\\n\"+a+\"\\n__p+='\"),u=o+e.length,e})),c+=\"';\\n\",n.variable||(c=\"with(obj||{}){\\n\"+c+\"}\\n\"),c=\"var __t,__p='',__j=Array.prototype.join,print=function(){__p+=__j.call(arguments,'');};\\n\"+c+\"return __p;\\n\";try{t=new Function(n.variable||\"obj\",\"_\",c)}catch(r){throw r.source=c,r}if(e)return t(e,p);var o=function(r){return t.call(this,r,p)};return o.source=\"function(\"+(n.variable||\"obj\")+\"){\\n\"+c+\"}\",o},e.exports=p},\n",
+       "      465: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),o=t(462),n=t(440),l=r.__importStar(t(18)),a=t(24),d=t(71);class s extends d.Model{constructor(t){super(t)}static init_TableColumn(){this.define({field:[l.String],title:[l.String],width:[l.Number,300],formatter:[l.Instance,()=>new o.StringFormatter],editor:[l.Instance,()=>new n.StringEditor],sortable:[l.Boolean,!0],default_sort:[l.Sort,\"ascending\"]})}toColumn(){var t;return{id:a.uniqueId(),field:this.field,name:null!==(t=this.title)&&void 0!==t?t:this.field,width:this.width,formatter:null!=this.formatter?this.formatter.doFormat.bind(this.formatter):void 0,model:this.editor,editor:this.editor.default_view,sortable:this.sortable,defaultSortAsc:\"ascending\"==this.default_sort}}}i.TableColumn=s,s.__name__=\"TableColumn\",s.init_TableColumn()},\n",
+       "      466: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=t(1),a=t(448),{Avg:i,Min:o,Max:g,Sum:n}=a.Data.Aggregators,u=r.__importStar(t(18)),c=t(71);class _ extends c.Model{constructor(t){super(t)}static init_RowAggregator(){this.define({field_:[u.String,\"\"]})}}s.RowAggregator=_,_.__name__=\"RowAggregator\",_.init_RowAggregator();const l=new i;class m extends _{constructor(){super(...arguments),this.key=\"avg\",this.init=l.init,this.accumulate=l.accumulate,this.storeResult=l.storeResult}}s.AvgAggregator=m,m.__name__=\"AvgAggregator\";const h=new o;class A extends _{constructor(){super(...arguments),this.key=\"min\",this.init=h.init,this.accumulate=h.accumulate,this.storeResult=h.storeResult}}s.MinAggregator=A,A.__name__=\"MinAggregator\";const R=new g;class d extends _{constructor(){super(...arguments),this.key=\"max\",this.init=R.init,this.accumulate=R.accumulate,this.storeResult=R.storeResult}}s.MaxAggregator=d,d.__name__=\"MaxAggregator\";const x=new n;class w extends _{constructor(){super(...arguments),this.key=\"sum\",this.init=x.init,this.accumulate=x.accumulate,this.storeResult=x.storeResult}}s.SumAggregator=w,w.__name__=\"SumAggregator\"},\n",
+       "      467: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1).__importStar(t(18)),r=t(68),i=t(448),a=t(441),n=t(71);function l(t,e,s,o,i){const{collapsed:a,level:n,title:l}=i,u=r.span({class:\"slick-group-toggle \"+(a?\"collapsed\":\"expanded\"),style:{\"margin-left\":15*n+\"px\"}}),g=r.span({class:\"slick-group-title\",level:n},l);return`${u.outerHTML}${g.outerHTML}`}function u(t,e){const s=this.getDataItem(e.row);s instanceof i.Group&&t.target.classList.contains(\"slick-group-toggle\")&&(s.collapsed?this.getData().expandGroup(s.groupingKey):this.getData().collapseGroup(s.groupingKey),t.stopImmediatePropagation(),t.preventDefault(),this.invalidate(),this.render())}class g extends n.Model{constructor(t){super(t)}static init_GroupingInfo(){this.define({getter:[o.String,\"\"],aggregators:[o.Array,[]],collapsed:[o.Boolean,!1]})}get comparer(){return(t,e)=>t.value===e.value?0:t.value>e.value?1:-1}}s.GroupingInfo=g,g.__name__=\"GroupingInfo\",g.init_GroupingInfo();class c extends a.TableDataProvider{constructor(t,e,s,o){super(t,e),this.columns=s,this.groupingInfos=[],this.groupingDelimiter=\":|:\",this.target=o}setGrouping(t){this.groupingInfos=t,this.toggledGroupsByLevel=t.map(()=>({})),this.refresh()}extractGroups(t,e){const s=[],o=new Map,r=e?e.level+1:0,{comparer:a,getter:n}=this.groupingInfos[r];return t.forEach(t=>{const a=this.source.data[n][t];let l=o.get(a);if(!l){const t=e?`${e.groupingKey}${this.groupingDelimiter}${a}`:\"\"+a;l=Object.assign(new i.Group,{value:a,level:r,groupingKey:t}),s.push(l),o.set(a,l)}l.rows.push(t)}),r<this.groupingInfos.length-1&&s.forEach(t=>{t.groups=this.extractGroups(t.rows,t)}),s.sort(a),s}calculateTotals(t,e){const s={avg:{},max:{},min:{},sum:{}},{source:{data:o}}=this,r=Object.keys(o),i=t.rows.map(t=>r.reduce((e,s)=>Object.assign(Object.assign({},e),{[s]:o[s][t]}),{}));return e.forEach(t=>{t.init(),i.forEach(e=>t.accumulate(e)),t.storeResult(s)}),s}addTotals(t,e=0){const{aggregators:s,collapsed:o}=this.groupingInfos[e],r=this.toggledGroupsByLevel[e];t.forEach(t=>{t.groups&&this.addTotals(t.groups,e+1),s.length&&t.rows.length&&(t.totals=this.calculateTotals(t,s)),t.collapsed=o!==r[t.groupingKey],t.title=t.value?\"\"+t.value:\"\"})}flattenedGroupedRows(t,e=0){const s=[];return t.forEach(t=>{if(s.push(t),!t.collapsed){const o=t.groups?this.flattenedGroupedRows(t.groups,e+1):t.rows;s.push(...o)}}),s}refresh(){const t=this.extractGroups(this.view.indices),e=this.source.data[this.columns[0].field];t.length&&(this.addTotals(t),this.rows=this.flattenedGroupedRows(t),this.target.data={row_indices:this.rows.map(t=>t instanceof i.Group?t.rows:t),labels:this.rows.map(t=>t instanceof i.Group?t.title:e[t])})}getLength(){return this.rows.length}getItem(t){const e=this.rows[t],{source:{data:s}}=this;return e instanceof i.Group?e:Object.keys(s).reduce((t,o)=>Object.assign(Object.assign({},t),{[o]:s[o][e]}),{[a.DTINDEX_NAME]:e})}getItemMetadata(t){const e=this.rows[t],s=this.columns.slice(1),o=e instanceof i.Group?this.groupingInfos[e.level].aggregators:[];return e instanceof i.Group?{selectable:!1,focusable:!1,cssClasses:\"slick-group\",columns:[{formatter:l},...s.map((function(t){const{field:e,formatter:s}=t,r=o.find(({field_:t})=>t===e);if(r){const{key:t}=r;return{formatter:(o,r,i,a,n)=>s?s(o,r,n.totals[t][e],a,n):\"\"}}return{}}))]}:{}}collapseGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=!this.groupingInfos[e].collapsed,this.refresh()}expandGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=this.groupingInfos[e].collapsed,this.refresh()}}s.DataCubeProvider=c,c.__name__=\"DataCubeProvider\";class p extends a.DataTableView{render(){const t={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:!1,forceFitColumns:this.model.fit_columns,multiColumnSort:!1,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height},e=this.model.columns.map(t=>t.toColumn());var s,o;e[0].formatter=(s=e[0].formatter,o=this.model.grouping.length,(t,e,i,a,n)=>{const l=r.span({class:\"slick-group-toggle\",style:{\"margin-left\":15*(o||0)+\"px\"}}),u=s?s(t,e,i,a,n):\"\"+i;return`${l.outerHTML}${u&&u.replace(/^<div/,\"<span\").replace(/div>$/,\"span>\")}`}),delete e[0].editor,this.data=new c(this.model.source,this.model.view,e,this.model.target),this.data.setGrouping(this.model.grouping),this.el.style.width=this.model.width+\"px\",this.grid=new i.Grid(this.el,this.data,e,t),this.grid.onClick.subscribe(u)}}s.DataCubeView=p,p.__name__=\"DataCubeView\";class h extends a.DataTable{constructor(t){super(t)}static init_DataCube(){this.prototype.default_view=p,this.define({grouping:[o.Array,[]],target:[o.Instance]})}}s.DataCube=h,h.__name__=\"DataCube\",h.init_DataCube()},\n",
+       "      }, 438, {\"models/widgets/tables/main\":438,\"models/widgets/tables/index\":439,\"models/widgets/tables/cell_editors\":440,\"models/widgets/tables/data_table\":441,\"models/widgets/tables/table_widget\":457,\"models/widgets/widget\":458,\"styles/widgets/tables\":459,\"styles/widgets/slickgrid.css\":460,\"styles/widgets/tables.css\":461,\"models/widgets/tables/cell_formatters\":462,\"models/widgets/tables/table_column\":465,\"models/widgets/tables/row_aggregators\":466,\"models/widgets/tables/data_cube\":467}, {});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END bokeh-tables.min.js */\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN bokeh-gl.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        factory(root[\"Bokeh\"], \"2.1.1\");\n",
+       "      })(this, function(Bokeh, version) {\n",
+       "        var define;\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
+       "          if (bokeh != null) {\n",
+       "            return bokeh.register_plugin(modules, entry, aliases);\n",
+       "          } else {\n",
+       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
+       "          }\n",
+       "        })\n",
+       "      ({\n",
+       "      370: function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(371)},\n",
+       "      371: function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);\n",
+       "      /*\n",
+       "          Copyright notice: many of the awesome techniques and  GLSL code contained in\n",
+       "          this module are based on work by Nicolas Rougier as part of the Glumpy and\n",
+       "          Vispy projects. The algorithms are published in\n",
+       "          http://jcgt.org/published/0003/04/01/ and http://jcgt.org/published/0002/02/08/\n",
+       "          \n",
+       "          This module contains all gl-specific code to add gl support for the glyphs.\n",
+       "          By implementing it separetely, the GL functionality can be spun off in a\n",
+       "          separate library.\n",
+       "          Other locations where we work with GL, or prepare for GL-rendering:\n",
+       "          - canvas.ts\n",
+       "          - plot.ts\n",
+       "          - glyph.ts\n",
+       "          - glyph_renderer.ts\n",
+       "          */o.__exportStar(e(372),_),o.__exportStar(e(377),_)},\n",
+       "      372: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(373),a=t(374),n=t(375),_=t(376),o=t(20);class h{constructor(t){this._atlas={},this._index=0,this._width=256,this._height=256,this.tex=new i.Texture2D(t),this.tex.set_wrapping(t.REPEAT,t.REPEAT),this.tex.set_interpolation(t.NEAREST,t.NEAREST),this.tex.set_size([this._height,this._width],t.RGBA),this.tex.set_data([0,0],[this._height,this._width],new Uint8Array(this._height*this._width*4)),this.get_atlas_data([1])}get_atlas_data(t){const e=t.join(\"-\");if(void 0===this._atlas[e]){const[s,i]=this.make_pattern(t);this.tex.set_data([this._index,0],[1,this._width],new Uint8Array(s.map(t=>t+10))),this._atlas[e]=[this._index/this._height,i],this._index+=1}return this._atlas[e]}make_pattern(t){t.length>1&&t.length%2&&(t=t.concat(t));let e=0;for(const s of t)e+=s;const s=[];let i=0;for(let e=0,a=t.length+2;e<a;e+=2){const a=Math.max(1e-4,t[e%t.length]),n=Math.max(1e-4,t[(e+1)%t.length]);s.push(i,i+a),i+=a+n}const a=this._width,n=new Float32Array(4*a);for(let t=0,i=a;t<i;t++){let i,_,o;const h=e*t/(a-1);let r=0,l=1e16;for(let t=0,e=s.length;t<e;t++){const e=Math.abs(s[t]-h);e<l&&(r=t,l=e)}r%2==0?(o=h<=s[r]?1:0,_=s[r],i=s[r+1]):(o=h>s[r]?-1:0,_=s[r-1],i=s[r]),n[4*t+0]=s[r],n[4*t+1]=o,n[4*t+2]=_,n[4*t+3]=i}return[n,e]}}h.__name__=\"DashAtlas\";const r={miter:0,round:1,bevel:2},l={\"\":0,none:0,\".\":0,round:1,\")\":1,\"(\":1,o:1,\"triangle in\":2,\"<\":2,\"triangle out\":3,\">\":3,square:4,\"[\":4,\"]\":4,\"=\":4,butt:5,\"|\":5};class g extends a.BaseGLGlyph{init(){const{gl:t}=this;this._scale_aspect=0;const e=n.vertex_shader,s=_.fragment_shader;this.prog=new i.Program(t),this.prog.set_shaders(e,s),this.index_buffer=new i.IndexBuffer(t),this.vbo_position=new i.VertexBuffer(t),this.vbo_tangents=new i.VertexBuffer(t),this.vbo_segment=new i.VertexBuffer(t),this.vbo_angles=new i.VertexBuffer(t),this.vbo_texcoord=new i.VertexBuffer(t),this.dash_atlas=new h(t)}draw(t,e,s){const i=e.glglyph;if(i.data_changed){if(!isFinite(s.dx)||!isFinite(s.dy))return;i._baked_offset=[s.dx,s.dy],i._set_data(),i.data_changed=!1}this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);let{sx:a,sy:n}=s;const _=Math.sqrt(a*a+n*n);a/=_,n/=_,Math.abs(this._scale_aspect-n/a)>Math.abs(.001*this._scale_aspect)&&(i._update_scale(a,n),this._scale_aspect=n/a),this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord),this.prog.set_uniform(\"u_length\",\"float\",[i.cumsum]),this.prog.set_texture(\"u_dash_atlas\",this.dash_atlas.tex);const o=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[s.dx-o[0],s.dy-o[1]]),this.prog.set_uniform(\"u_scale_aspect\",\"vec2\",[a,n]),this.prog.set_uniform(\"u_scale_length\",\"float\",[_]),this.I_triangles=i.I_triangles,this.I_triangles.length<65535)this.index_buffer.set_size(2*this.I_triangles.length),this.index_buffer.set_data(0,new Uint16Array(this.I_triangles)),this.prog.draw(this.gl.TRIANGLES,this.index_buffer);else{t=Array.from(this.I_triangles);const e=this.I_triangles.length,s=64008,a=[];for(let t=0,i=Math.ceil(e/s);t<i;t++)a.push([]);for(let e=0,i=t.length;e<i;e++){const i=t[e]%s;a[Math.floor(t[e]/s)].push(i)}for(let t=0,e=a.length;t<e;t++){const e=new Uint16Array(a[t]),n=t*s*4;0!==e.length&&(this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position,0,2*n),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents,0,4*n),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment,0,2*n),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles,0,2*n),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord,0,2*n),this.index_buffer.set_size(2*e.length),this.index_buffer.set_data(0,e),this.prog.draw(this.gl.TRIANGLES,this.index_buffer))}}}_set_data(){this._bake(),this.vbo_position.set_size(4*this.V_position.length),this.vbo_position.set_data(0,this.V_position),this.vbo_tangents.set_size(4*this.V_tangents.length),this.vbo_tangents.set_data(0,this.V_tangents),this.vbo_angles.set_size(4*this.V_angles.length),this.vbo_angles.set_data(0,this.V_angles),this.vbo_texcoord.set_size(4*this.V_texcoord.length),this.vbo_texcoord.set_data(0,this.V_texcoord)}_set_visuals(){const t=o.color2rgba(this.glyph.visuals.line.line_color.value(),this.glyph.visuals.line.line_alpha.value()),e=l[this.glyph.visuals.line.line_cap.value()],s=r[this.glyph.visuals.line.line_join.value()];this.prog.set_uniform(\"u_color\",\"vec4\",t),this.prog.set_uniform(\"u_linewidth\",\"float\",[this.glyph.visuals.line.line_width.value()]),this.prog.set_uniform(\"u_antialias\",\"float\",[.9]),this.prog.set_uniform(\"u_linecaps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_linejoin\",\"float\",[s]),this.prog.set_uniform(\"u_miter_limit\",\"float\",[10]);const i=this.glyph.visuals.line.line_dash.value();let a=0,n=1;i.length&&([a,n]=this.dash_atlas.get_atlas_data(i)),this.prog.set_uniform(\"u_dash_index\",\"float\",[a]),this.prog.set_uniform(\"u_dash_phase\",\"float\",[this.glyph.visuals.line.line_dash_offset.value()]),this.prog.set_uniform(\"u_dash_period\",\"float\",[n]),this.prog.set_uniform(\"u_dash_caps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_closed\",\"float\",[0])}_bake(){let t,e,s,i,a,n,_,o;const h=this.nvertices,r=new Float64Array(this.glyph._x),l=new Float64Array(this.glyph._y),g=_=new Float32Array(2*h),f=new Float32Array(2*h),u=o=new Float32Array(4*h);for(let t=0,e=h;t<e;t++)g[2*t+0]=r[t]+this._baked_offset[0],g[2*t+1]=l[t]+this._baked_offset[1];this.tangents=e=new Float32Array(2*h-2);for(let t=0,s=h-1;t<s;t++)e[2*t+0]=_[2*(t+1)+0]-_[2*t+0],e[2*t+1]=_[2*(t+1)+1]-_[2*t+1];for(let t=0,s=h-1;t<s;t++)u[4*(t+1)+0]=e[2*t+0],u[4*(t+1)+1]=e[2*t+1],u[4*t+2]=e[2*t+0],u[4*t+3]=e[2*t+1];u[0]=e[0],u[1]=e[1],u[4*(h-1)+2]=e[2*(h-2)+0],u[4*(h-1)+3]=e[2*(h-2)+1];const c=new Float32Array(h);for(let t=0,e=h;t<e;t++)c[t]=Math.atan2(o[4*t+0]*o[4*t+3]-o[4*t+1]*o[4*t+2],o[4*t+0]*o[4*t+2]+o[4*t+1]*o[4*t+3]);for(let t=0,e=h-1;t<e;t++)f[2*t+0]=c[t],f[2*t+1]=c[t+1];const d=4*h-4;this.V_position=i=new Float32Array(2*d),this.V_angles=s=new Float32Array(2*d),this.V_tangents=a=new Float32Array(4*d),this.V_texcoord=n=new Float32Array(2*d);for(let t=0,e=h;t<e;t++)for(let e=0;e<4;e++){for(let a=0;a<2;a++)i[2*(4*t+e-2)+a]=g[2*t+a],s[2*(4*t+e)+a]=f[2*t+a];for(let s=0;s<4;s++)a[4*(4*t+e-2)+s]=u[4*t+s]}for(let t=0,e=h;t<e;t++)n[2*(4*t+0)+0]=-1,n[2*(4*t+1)+0]=-1,n[2*(4*t+2)+0]=1,n[2*(4*t+3)+0]=1,n[2*(4*t+0)+1]=-1,n[2*(4*t+1)+1]=1,n[2*(4*t+2)+1]=-1,n[2*(4*t+3)+1]=1;const p=6*(h-1);this.I_triangles=t=new Uint32Array(p);for(let e=0,s=h;e<s;e++)t[6*e+0]=0+4*e,t[6*e+1]=1+4*e,t[6*e+2]=3+4*e,t[6*e+3]=2+4*e,t[6*e+4]=0+4*e,t[6*e+5]=3+4*e}_update_scale(t,e){let s;const i=this.nvertices,a=4*i-4,n=this.tangents,_=new Float32Array(i-1),o=new Float32Array(2*i);this.V_segment=s=new Float32Array(2*a);for(let s=0,a=i-1;s<a;s++)_[s]=Math.sqrt((n[2*s+0]*t)**2+(n[2*s+1]*e)**2);let h=0;for(let t=0,e=i-1;t<e;t++)h+=_[t],o[2*(t+1)+0]=h,o[2*t+1]=h;for(let t=0,e=i;t<e;t++)for(let e=0;e<4;e++)for(let i=0;i<2;i++)s[2*(4*t+e)+i]=o[2*t+i];this.cumsum=h,this.vbo_segment.set_size(4*this.V_segment.length),this.vbo_segment.set_data(0,this.V_segment)}}s.LineGLGlyph=g,g.__name__=\"LineGLGlyph\"},\n",
+       "      373: function _(t,e,r){var n,o,i,a,s,l,h,u,c,_=function(t,e){return Array.isArray(t)&&Array.isArray(e)?t.concat(e):t+e},f=function(t,e){if(null==e);else{if(Array.isArray(e)){for(var r=0;r<e.length;r++)if(p(t,e[r]))return!0;return!1}if(e.constructor===Object){for(var n in e)if(t==n)return!0;return!1}if(e.constructor==String)return e.indexOf(t)>=0}var o=Error(\"Not a container: \"+e);throw o.name=\"TypeError\",o},p=function t(e,r){if(null==e||null==r);else{if(Array.isArray(e)&&Array.isArray(r)){for(var n=0,o=e.length==r.length;o&&n<e.length;)o=t(e[n],r[n]),n+=1;return o}if(e.constructor===Object&&r.constructor===Object){var i=Object.keys(e),a=Object.keys(r);i.sort(),a.sort();var s;for(n=0,o=t(i,a);o&&n<i.length;)o=t(e[s=i[n]],r[s]),n+=1;return o}}return e==r},d=function(t,e){if(void 0===t||\"undefined\"!=typeof window&&window===t||\"undefined\"!=typeof global&&global===t)throw\"Class constructor is called as a function.\";for(var r in t)void 0!==Object[r]||\"function\"!=typeof t[r]||t[r].nobind||(t[r]=t[r].bind(t));t.__init__&&t.__init__.apply(t,e)},y=function(t,e){if((\"number\"==typeof t)+(\"number\"==typeof e)===1){if(t.constructor===String)return A.call(t,e);if(e.constructor===String)return A.call(e,t);if(Array.isArray(e)){var r=t;t=e,e=r}if(Array.isArray(t)){for(var n=[],o=0;o<e;o++)n=n.concat(t);return n}}return t*e},g=function(t){return null===t||\"object\"!=typeof t?t:void 0!==t.length?!!t.length&&t:void 0!==t.byteLength?!!t.byteLength&&t:t.constructor!==Object||!!Object.getOwnPropertyNames(t).length&&t},v=function(t){if(!Array.isArray(this))return this.append.apply(this,arguments);this.push(t)},m=function(t,e){return this.constructor!==Object?this.get.apply(this,arguments):void 0!==this[t]?this[t]:void 0!==e?e:null},x=function(){return\"function\"==typeof this.keys?this.keys.apply(this,arguments):Object.keys(this)},b=function(t){if(this.constructor!==String)return this.lstrip.apply(this,arguments);t=void 0===t?\" \\t\\r\\n\":t;for(var e=0;e<this.length;e++)if(t.indexOf(this[e])<0)return this.slice(e);return\"\"},E=function(t){if(!Array.isArray(this))return this.remove.apply(this,arguments);for(var e=0;e<this.length;e++)if(p(this[e],t))return void this.splice(e,1);var r=Error(t);throw r.name=\"ValueError\",r},A=function(t){if(this.repeat)return this.repeat(t);if(t<1)return\"\";for(var e=\"\",r=this.valueOf();t>1;)1&t&&(e+=r),t>>=1,r+=r;return e+r},w=function(t){return this.constructor!==String?this.startswith.apply(this,arguments):0==this.indexOf(t)};c=window.console,u=function(t,e){var r,n,o,i,a,s,l;for(e=void 0===e?\"periodic check\":e,i=[];n=t.getError(),!(p(n,t.NO_ERROR)||g(i)&&p(n,i[i.length-1]));)v.call(i,n);if(i.length){for(a=\"\",\"object\"!=typeof(s=i)||Array.isArray(s)||(s=Object.keys(s)),l=0;l<s.length;l+=1)r=s[l],a=_(a,r);throw(o=new Error(\"RuntimeError:OpenGL got errors (\"+e+\"): \"+a)).name=\"RuntimeError\",o}return null},(o=function(){d(this,arguments)}).prototype._base_class=Object,o.prototype._class_name=\"GlooObject\",o.prototype.__init__=function(t){if(this._gl=t,this.handle=null,this._create(),null===this.handle)throw\"AssertionError: this.handle !== null\";return null},o.prototype._create=function(){var t;throw(t=new Error(\"NotImplementedError:\")).name=\"NotImplementedError\",t},((a=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,a.prototype._class_name=\"Program\",a.prototype.UTYPEMAP={float:\"uniform1fv\",vec2:\"uniform2fv\",vec3:\"uniform3fv\",vec4:\"uniform4fv\",int:\"uniform1iv\",ivec2:\"uniform2iv\",ivec3:\"uniform3iv\",ivec4:\"uniform4iv\",bool:\"uniform1iv\",bvec2:\"uniform2iv\",bvec3:\"uniform3iv\",bvec4:\"uniform4iv\",mat2:\"uniformMatrix2fv\",mat3:\"uniformMatrix3fv\",mat4:\"uniformMatrix4fv\",sampler1D:\"uniform1i\",sampler2D:\"uniform1i\",sampler3D:\"uniform1i\"},a.prototype.ATYPEMAP={float:\"vertexAttrib1f\",vec2:\"vertexAttrib2f\",vec3:\"vertexAttrib3f\",vec4:\"vertexAttrib4f\"},a.prototype.ATYPEINFO={float:[1,5126],vec2:[2,5126],vec3:[3,5126],vec4:[4,5126]},a.prototype._create=function(){return this.handle=this._gl.createProgram(),this.locations={},this._unset_variables=[],this._validated=!1,this._samplers={},this._attributes={},this._known_invalid=[],null},a.prototype.delete=function(){return this._gl.deleteProgram(this.handle),null},a.prototype.activate=function(){return this._gl.useProgram(this.handle),null},a.prototype.deactivate=function(){return this._gl.useProgram(0),null},a.prototype.set_shaders=function(t,e){var r,n,o,i,a,s,l,h,u,c,f,p,d;for(s=this._gl,this._linked=!1,f=[[t,d=s.createShader(s.VERTEX_SHADER),\"vertex\"],[e,a=s.createShader(s.FRAGMENT_SHADER),\"fragment\"]],h=0;h<2;h+=1)if(r=(c=f[h])[0],l=c[1],p=c[2],s.shaderSource(l,r),s.compileShader(l),u=s.getShaderParameter(l,s.COMPILE_STATUS),!g(u))throw i=s.getShaderInfoLog(l),(o=new Error(\"RuntimeError:\"+_(\"errors in \"+p+\" shader:\\n\",i))).name=\"RuntimeError\",o;if(s.attachShader(this.handle,d),s.attachShader(this.handle,a),s.linkProgram(this.handle),!g(s.getProgramParameter(this.handle,s.LINK_STATUS)))throw(n=new Error(\"RuntimeError:Program link error:\\n\"+s.getProgramInfoLog(this.handle))).name=\"RuntimeError\",n;return this._unset_variables=this._get_active_attributes_and_uniforms(),s.detachShader(this.handle,d),s.detachShader(this.handle,a),s.deleteShader(d),s.deleteShader(a),this._known_invalid=[],this._linked=!0,null},a.prototype._get_active_attributes_and_uniforms=function(){var t,e,r,n,o,i,a,s,l,h,u,c,f,p,d,y,m,x;for(s=this._gl,this.locations={},p=new window.RegExp(\"(\\\\w+)\\\\s*(\\\\[(\\\\d+)\\\\])\\\\s*\"),o=s.getProgramParameter(this.handle,s.ACTIVE_UNIFORMS),e=s.getProgramParameter(this.handle,s.ACTIVE_ATTRIBUTES),x=[],\"object\"!=typeof(y=[[t=[],e,s.getActiveAttrib,s.getAttribLocation],[x,o,s.getActiveUniform,s.getUniformLocation]])||Array.isArray(y)||(y=Object.keys(y)),m=0;m<y.length;m+=1)for(r=(d=y[m])[0],n=d[1],i=d[2],a=d[3],l=0;l<n;l+=1){if(c=(f=(h=i.call(s,this.handle,l)).name).match(p),g(c))for(f=c[1],u=0;u<h.size;u+=1)v.call(r,[f+\"[\"+u+\"]\",h.type]);else v.call(r,[f,h.type]);this.locations[f]=a.call(s,this.handle,f)}return _(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(e[0]);return o}.apply(this),function(){var t,e,r,n=[];for(\"object\"!=typeof(e=x)||Array.isArray(e)||(e=Object.keys(e)),r=0;r<e.length;r++)t=e[r],n.push(t[0]);return n}.apply(this))},a.prototype.set_texture=function(t,e){var r,n,o;if(!g(this._linked))throw(r=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",r;return n=m.call(this.locations,t,-1),g(n<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active texture\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),o=x.call(this._samplers).length,f(t,this._samplers)&&(o=this._samplers[t][this._samplers[t].length-1]),this._samplers[t]=[e._target,e.handle,o],this._gl.uniform1i(n,o),null)},a.prototype.set_uniform=function(t,e,r){var n,o,i,a,s,l,h;if(!g(this._linked))throw(i=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",i;if(s=m.call(this.locations,t,-1),g(s<0))return f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active uniform\")),null;if(f(t,this._unset_variables)&&E.call(this._unset_variables,t),o=1,w.call(e,\"mat\")||(n=m.call({int:\"float\",bool:\"float\"},e,b.call(e,\"ib\")),o=Math.floor(r.length/this.ATYPEINFO[n][0])),g(o>1))for(l=0;l<o;l+=1)f(t+\"[\"+l+\"]\",this._unset_variables)&&f(h=t+\"[\"+l+\"]\",this._unset_variables)&&E.call(this._unset_variables,h);return a=this.UTYPEMAP[e],this.activate(),w.call(e,\"mat\")?this._gl[a](s,!1,r):this._gl[a](s,r),null},a.prototype.set_attribute=function(t,e,r,n,o){var i,a,s,l,u,_;if(n=void 0===n?0:n,o=void 0===o?0:o,!g(this._linked))throw(a=new Error(\"RuntimeError:Cannot set attribute when program has no code\")).name=\"RuntimeError\",a;return u=r instanceof h,l=m.call(this.locations,t,-1),g(l<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),g(u)&&g(o>0)||c.log(\"Variable \"+t+\" is not an active attribute\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),g(u)?(s=\"vertexAttribPointer\",i=[(_=this.ATYPEINFO[e])[0],_[1],this._gl.FALSE,n,o],this._attributes[t]=[r.handle,l,s,i]):(s=this.ATYPEMAP[e],this._attributes[t]=[0,l,s,r]),null)},a.prototype._pre_draw=function(){var t,e,r,n,o,i,a,s,l,h,u,c;for(c in this.activate(),a=this._samplers)a.hasOwnProperty(c)&&(l=(i=c=a[c])[0],s=i[1],h=i[2],this._gl.activeTexture(_(this._gl.TEXTURE0,h)),this._gl.bindTexture(l,s));for(c in o=this._attributes)o.hasOwnProperty(c)&&(u=(n=c=o[c])[0],e=n[1],r=n[2],t=n[3],g(u)?(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,u),this._gl.enableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))):(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,null),this._gl.disableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))));return g(this._validated)||(this._validated=!0,this._validate()),null},a.prototype._validate=function(){var t;if(this._unset_variables.length&&c.log(\"Program has unset variables: \"+this._unset_variables),this._gl.validateProgram(this.handle),!g(this._gl.getProgramParameter(this.handle,this._gl.VALIDATE_STATUS)))throw c.log(this._gl.getProgramInfoLog(this.handle)),(t=new Error(\"RuntimeError:Program validation error\")).name=\"RuntimeError\",t;return null},a.prototype.draw=function(t,e){var r,n,o,a,s;if(!g(this._linked))throw(n=new Error(\"RuntimeError:Cannot draw program if code has not been set\")).name=\"RuntimeError\",n;return u(this._gl,\"before draw\"),g(e instanceof i)?(this._pre_draw(),e.activate(),r=e._buffer_size/2,a=this._gl.UNSIGNED_SHORT,this._gl.drawElements(t,r,a,0),e.deactivate()):(o=(s=e)[0],r=s[1],g(r)&&(this._pre_draw(),this._gl.drawArrays(t,o,r))),u(this._gl,\"after draw\"),null},((n=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,n.prototype._class_name=\"Buffer\",n.prototype._target=null,n.prototype._usage=35048,n.prototype._create=function(){return this.handle=this._gl.createBuffer(),this._buffer_size=0,null},n.prototype.delete=function(){return this._gl.deleteBuffer(this.handle),null},n.prototype.activate=function(){return this._gl.bindBuffer(this._target,this.handle),null},n.prototype.deactivate=function(){return this._gl.bindBuffer(this._target,null),null},n.prototype.set_size=function(t){return p(t,this._buffer_size)||(this.activate(),this._gl.bufferData(this._target,t,this._usage),this._buffer_size=t),null},n.prototype.set_data=function(t,e){return this.activate(),this._gl.bufferSubData(this._target,t,e),null},(h=function(){d(this,arguments)}).prototype=Object.create(n.prototype),h.prototype._base_class=n.prototype,h.prototype._class_name=\"VertexBuffer\",h.prototype._target=34962,(i=function(){d(this,arguments)}).prototype=Object.create(n.prototype),i.prototype._base_class=n.prototype,i.prototype._class_name=\"IndexBuffer\",i.prototype._target=34963,((s=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,s.prototype._class_name=\"Texture2D\",s.prototype._target=3553,s.prototype._types={Int8Array:5120,Uint8Array:5121,Int16Array:5122,Uint16Array:5123,Int32Array:5124,Uint32Array:5125,Float32Array:5126},s.prototype._create=function(){return this.handle=this._gl.createTexture(),this._shape_format=null,null},s.prototype.delete=function(){return this._gl.deleteTexture(this.handle),null},s.prototype.activate=function(){return this._gl.bindTexture(this._target,this.handle),null},s.prototype.deactivate=function(){return this._gl.bindTexture(this._target,0),null},s.prototype._get_alignment=function(t){var e,r,n;for(\"object\"!=typeof(r=[4,8,2,1])||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n+=1)if(e=r[n],p(t%e,0))return e;return null},s.prototype.set_wrapping=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_S,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_T,e),null},s.prototype.set_interpolation=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_MIN_FILTER,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_MAG_FILTER,e),null},s.prototype.set_size=function(t,e){var r,n,o;return r=(n=t)[0],o=n[1],p([r,o,e],this._shape_format)||(this._shape_format=[r,o,e],this.activate(),this._gl.texImage2D(this._target,0,e,o,r,0,e,this._gl.UNSIGNED_BYTE,null)),this.u_shape=[r,o],null},s.prototype.set_data=function(t,e,r){var n,o,i,a,s,l,h,u,c,_;if(p(e.length,2)&&(e=[e[0],e[1],1]),this.activate(),i=this._shape_format[2],s=(l=e)[0],u=l[1],l[2],_=(h=t)[0],c=h[1],null===(a=m.call(this._types,r.constructor.name,null)))throw(o=new Error(\"ValueError:Type \"+r.constructor.name+\" not allowed for texture\")).name=\"ValueError\",o;return n=this._get_alignment(y(e[e.length-2],e[e.length-1])),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,n),this._gl.texSubImage2D(this._target,0,c,_,u,s,i,a,r),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,4),null},((l=function(){d(this,arguments)}).prototype=Object.create(s.prototype))._base_class=s.prototype,l.prototype._class_name=\"Texture3DLike\",l.prototype.GLSL_SAMPLE_NEAREST=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float zindex = floor(texcoord.z * shape.z);\\n\\n            // Do a lookup in the 2D texture\\n            float u = (mod(zindex, ncols) + texcoord.x) / ncols;\\n            float v = (floor(zindex / ncols) + texcoord.y) / nrows;\\n\\n            return texture2D(tex, vec2(u,v));\\n        }\\n    \",l.prototype.GLSL_SAMPLE_LINEAR=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float z = texcoord.z * shape.z;\\n            float zindex1 = floor(z);\\n            float u1 = (mod(zindex1, ncols) + texcoord.x) / ncols;\\n            float v1 = (floor(zindex1 / ncols) + texcoord.y) / nrows;\\n\\n            float zindex2 = zindex1 + 1.0;\\n            float u2 = (mod(zindex2, ncols) + texcoord.x) / ncols;\\n            float v2 = (floor(zindex2 / ncols) + texcoord.y) / nrows;\\n\\n            vec4 s1 = texture2D(tex, vec2(u1, v1));\\n            vec4 s2 = texture2D(tex, vec2(u2, v2));\\n\\n            return s1 * (zindex2 - z) + s2 * (z - zindex1);\\n        }\\n    \",l.prototype._get_tile_info=function(t){var e,r,n,o;if(r=this._gl.getParameter(this._gl.MAX_TEXTURE_SIZE),o=Math.floor(r/t[1]),o=Math.min(o,t[0]),n=window.Math.ceil(t[0]/o),g(y(n,t[2])>r))throw(e=new Error(\"RuntimeError:Cannot fit 3D data with shape \"+t+\" onto simulated 2D texture.\")).name=\"RuntimeError\",e;return[o,n]},l.prototype.set_size=function(t,e){var r,n,o,i;return n=(i=this._get_tile_info(t))[0],r=i[1],o=[y(t[1],n),y(t[2],r)],l.prototype._base_class.set_size.call(this,o,e),this.u_shape=[t[0],t[1],t[2]],this.u_tiles=[r,n],null},l.prototype.set_data=function(t,e,r){var n,o,i,a,s,h,u,c,_,f,d,v;if(p(e.length,3)&&(e=[e[0],e[1],e[2],1]),!function(t){for(var e=0;e<t.length;e++)if(!g(t[e]))return!1;return!0}(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(p(e,0));return o}.apply(this)))throw(i=new Error(\"ValueError:Texture3DLike does not support nonzero offset (for now)\")).name=\"ValueError\",i;if(s=(c=this._get_tile_info(e))[0],a=c[1],u=[y(e[1],s),y(e[2],a),e[3]],p(a,1))l.prototype._base_class.set_data.call(this,[0,0],u,r);else for(v=new(0,r.constructor)(y(y(u[0],u[1]),u[2])),l.prototype._base_class.set_data.call(this,[0,0],u,v),d=0;d<e[0];d+=1)h=(_=[Math.floor(d/a),d%a])[0],n=_[1],o=Math.floor(r.length/e[0]),f=r.slice(y(d,o),y(d+1,o)),l.prototype._base_class.set_data.call(this,[y(h,e[1]),y(n,e[2])],e.slice(1),f);return null},e.exports={Buffer:n,GlooObject:o,IndexBuffer:i,Program:a,Texture2D:s,Texture3DLike:l,VertexBuffer:h,check_error:u,console:c}},\n",
+       "      374: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(20),s=e(72);class i{constructor(e,t){this.gl=e,this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.init()}set_data_changed(e){e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,a){if(0==t.length)return!0;const[r,i,n]=[0,1,2];let l=1,h=1,[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]);if(isNaN(o[0]+o[1]+o[2]+_[0]+_[1]+_[2]))return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;if(l=100/Math.min(Math.max(Math.abs(o[1]-o[0]),1e-12),1e12),h=100/Math.min(Math.max(Math.abs(_[1]-_[0]),1e-12),1e12),[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]),Math.abs(o[1]-o[0]-(o[2]-o[1]))>1e-6||Math.abs(_[1]-_[0]-(_[2]-_[1]))>1e-6)return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;const[c,u]=[(o[1]-o[0])/l,(_[1]-_[0])/h],{width:d,height:g}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,f={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:d,height:g,dx:o[0]/c,dy:_[0]/u,sx:c,sy:u};return this.draw(t,a,f),!0}}function n(e,t){const a=new Float32Array(e);for(let r=0,s=e;r<s;r++)a[r]=t;return a}function l(e,t){return void 0!==e[t].spec.value}a.BaseGLGlyph=i,i.__name__=\"BaseGLGlyph\",a.line_width=function(e){return e<2&&(e=Math.sqrt(2*e)),e},a.fill_array_with_float=n,a.fill_array_with_vec=function(e,t,a){const r=new Float32Array(e*t);for(let s=0;s<e;s++)for(let e=0;e<t;e++)r[s*t+e]=a[e];return r},a.visual_prop_is_singular=l,a.attach_float=function(e,t,a,r,s,i){if(s.doit)if(l(s,i))t.used=!1,e.set_attribute(a,\"float\",s[i].value());else{t.used=!0;const n=new Float32Array(s.get_array(i));t.set_size(4*r),t.set_data(0,n),e.set_attribute(a,\"float\",t)}else t.used=!1,e.set_attribute(a,\"float\",[0])},a.attach_color=function(e,t,a,s,i,h){let o;const _=h+\"_color\",c=h+\"_alpha\";if(i.doit)if(l(i,_)&&l(i,c))t.used=!1,o=r.color2rgba(i[_].value(),i[c].value()),e.set_attribute(a,\"vec4\",o);else{let h,u;t.used=!0,u=l(i,_)?(()=>{const e=[];for(let t=0,a=s;t<a;t++)e.push(i[_].value());return e})():i.get_array(_),h=l(i,c)?n(s,i[c].value()):i.get_array(c);const d=new Float32Array(4*s);for(let e=0,t=s;e<t;e++){o=r.color2rgba(u[e],h[e]);for(let t=0,a=4;t<a;t++)d[4*e+t]=o[t]}t.set_size(4*s*4),t.set_data(0,d),e.set_attribute(a,\"vec4\",t)}else t.used=!1,e.set_attribute(a,\"vec4\",[0,0,0,0])}},\n",
+       "      375: function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.vertex_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size, u_offset;\\nuniform vec2 u_scale_aspect;\\nuniform float u_scale_length;\\n\\nuniform vec4 u_color;\\nuniform float u_antialias;\\nuniform float u_length;\\nuniform float u_linewidth;\\nuniform float u_dash_index;\\nuniform float u_closed;\\n\\nattribute vec2 a_position;\\nattribute vec4 a_tangents;\\nattribute vec2 a_segment;\\nattribute vec2 a_angles;\\nattribute vec2 a_texcoord;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\nfloat cross(in vec2 v1, in vec2 v2)\\n{\\n    return v1.x*v2.y - v1.y*v2.x;\\n}\\n\\nfloat signed_distance(in vec2 v1, in vec2 v2, in vec2 v3)\\n{\\n    return cross(v2-v1,v1-v3) / length(v2-v1);\\n}\\n\\nvoid rotate( in vec2 v, in float alpha, out vec2 result )\\n{\\n    float c = cos(alpha);\\n    float s = sin(alpha);\\n    result = vec2( c*v.x - s*v.y,\\n                   s*v.x + c*v.y );\\n}\\n\\nvoid main()\\n{\\n    bool closed = (u_closed > 0.0);\\n\\n    // Attributes and uniforms to varyings\\n    v_color = u_color;\\n    v_linewidth = u_linewidth;\\n    v_segment = a_segment * u_scale_length;\\n    v_length = u_length * u_scale_length;\\n\\n    // Scale to map to pixel coordinates. The original algorithm from the paper\\n    // assumed isotropic scale. We obviously do not have this.\\n    vec2 abs_scale_aspect = abs(u_scale_aspect);\\n    vec2 abs_scale = u_scale_length * abs_scale_aspect;\\n\\n    // Correct angles for aspect ratio\\n    vec2 av;\\n    av = vec2(1.0, tan(a_angles.x)) / abs_scale_aspect;\\n    v_angles.x = atan(av.y, av.x);\\n    av = vec2(1.0, tan(a_angles.y)) / abs_scale_aspect;\\n    v_angles.y = atan(av.y, av.x);\\n\\n    // Thickness below 1 pixel are represented using a 1 pixel thickness\\n    // and a modified alpha\\n    v_color.a = min(v_linewidth, v_color.a);\\n    v_linewidth = max(v_linewidth, 1.0);\\n\\n    // If color is fully transparent we just will discard the fragment anyway\\n    if( v_color.a <= 0.0 ) {\\n        gl_Position = vec4(0.0,0.0,0.0,1.0);\\n        return;\\n    }\\n\\n    // This is the actual half width of the line\\n    float w = ceil(u_antialias+v_linewidth)/2.0;\\n\\n    vec2 position = (a_position + u_offset) * abs_scale;\\n\\n    vec2 t1 = normalize(a_tangents.xy * abs_scale_aspect);  // note the scaling for aspect ratio here\\n    vec2 t2 = normalize(a_tangents.zw * abs_scale_aspect);\\n    float u = a_texcoord.x;\\n    float v = a_texcoord.y;\\n    vec2 o1 = vec2( +t1.y, -t1.x);\\n    vec2 o2 = vec2( +t2.y, -t2.x);\\n\\n    // This is a join\\n    // ----------------------------------------------------------------\\n    if( t1 != t2 ) {\\n        float angle = atan (t1.x*t2.y-t1.y*t2.x, t1.x*t2.x+t1.y*t2.y);  // Angle needs recalculation for some reason\\n        vec2 t  = normalize(t1+t2);\\n        vec2 o  = vec2( + t.y, - t.x);\\n\\n        if ( u_dash_index > 0.0 )\\n        {\\n            // Broken angle\\n            // ----------------------------------------------------------------\\n            if( (abs(angle) > THETA) ) {\\n                position += v * w * o / cos(angle/2.0);\\n                float s = sign(angle);\\n                if( angle < 0.0 ) {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position -= 2.0 * w * t1 / sin(angle);\\n                            u -= 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position += 2.0 * w * t2 / sin(angle);\\n                            u += 2.0*w / sin(angle);\\n                        }\\n                    }\\n                } else {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position += 2.0 * w * t1 / sin(angle);\\n                            u += 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position -= 2.0 * w * t2 / sin(angle);\\n                            u -= 2.0*w / sin(angle);\\n                        }\\n                    }\\n                }\\n                // Continuous angle\\n                // ------------------------------------------------------------\\n            } else {\\n                position += v * w * o / cos(angle/2.0);\\n                if( u == +1.0 ) u = v_segment.y;\\n                else            u = v_segment.x;\\n            }\\n        }\\n\\n        // Solid line\\n        // --------------------------------------------------------------------\\n        else\\n        {\\n            position.xy += v * w * o / cos(angle/2.0);\\n            if( angle < 0.0 ) {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            } else {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            }\\n        }\\n\\n    // This is a line start or end (t1 == t2)\\n    // ------------------------------------------------------------------------\\n    } else {\\n        position += v * w * o1;\\n        if( u == -1.0 ) {\\n            u = v_segment.x - w;\\n            position -= w * t1;\\n        } else {\\n            u = v_segment.y + w;\\n            position += w * t2;\\n        }\\n    }\\n\\n    // Miter distance\\n    // ------------------------------------------------------------------------\\n    vec2 t;\\n    vec2 curr = a_position * abs_scale;\\n    if( a_texcoord.x < 0.0 ) {\\n        vec2 next = curr + t2*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, +v_angles.x/2.0, t);\\n        v_miter.x = signed_distance(curr, curr+t, position);\\n\\n        rotate( t2, +v_angles.y/2.0, t);\\n        v_miter.y = signed_distance(next, next+t, position);\\n    } else {\\n        vec2 prev = curr - t1*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, -v_angles.x/2.0,t);\\n        v_miter.x = signed_distance(prev, prev+t, position);\\n\\n        rotate( t2, -v_angles.y/2.0,t);\\n        v_miter.y = signed_distance(curr, curr+t, position);\\n    }\\n\\n    if (!closed && v_segment.x <= 0.0) {\\n        v_miter.x = 1e10;\\n    }\\n    if (!closed && v_segment.y >= v_length)\\n    {\\n        v_miter.y = 1e10;\\n    }\\n\\n    v_texcoord = vec2( u, v*w );\\n\\n    // Calculate position in device coordinates. Note that we\\n    // already scaled with abs scale above.\\n    vec2 normpos = position * sign(u_scale_aspect);\\n    normpos += 0.5;  // make up for Bokeh's offset\\n    normpos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(normpos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n}\\n\"},\n",
+       "      376: function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0}),e.fragment_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform sampler2D u_dash_atlas;\\n\\nuniform vec2 u_linecaps;\\nuniform float u_miter_limit;\\nuniform float u_linejoin;\\nuniform float u_antialias;\\nuniform float u_dash_phase;\\nuniform float u_dash_period;\\nuniform float u_dash_index;\\nuniform vec2 u_dash_caps;\\nuniform float u_closed;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\n// Compute distance to cap ----------------------------------------------------\\nfloat cap( int type, float dx, float dy, float t, float linewidth )\\n{\\n    float d = 0.0;\\n    dx = abs(dx);\\n    dy = abs(dy);\\n    if      (type == 0)  discard;  // None\\n    else if (type == 1)  d = sqrt(dx*dx+dy*dy);  // Round\\n    else if (type == 3)  d = (dx+abs(dy));  // Triangle in\\n    else if (type == 2)  d = max(abs(dy),(t+dx-abs(dy)));  // Triangle out\\n    else if (type == 4)  d = max(dx,dy);  // Square\\n    else if (type == 5)  d = max(dx+t,dy);  // Butt\\n    return d;\\n}\\n\\n// Compute distance to join -------------------------------------------------\\nfloat join( in int type, in float d, in vec2 segment, in vec2 texcoord, in vec2 miter,\\n           in float linewidth )\\n{\\n    // texcoord.x is distance from start\\n    // texcoord.y is distance from centerline\\n    // segment.x and y indicate the limits (as for texcoord.x) for this segment\\n\\n    float dx = texcoord.x;\\n\\n    // Round join\\n    if( type == 1 ) {\\n        if (dx < segment.x) {\\n            d = max(d,length( texcoord - vec2(segment.x,0.0)));\\n            //d = length( texcoord - vec2(segment.x,0.0));\\n        } else if (dx > segment.y) {\\n            d = max(d,length( texcoord - vec2(segment.y,0.0)));\\n            //d = length( texcoord - vec2(segment.y,0.0));\\n        }\\n    }\\n    // Bevel join\\n    else if ( type == 2 ) {\\n        if (dx < segment.x) {\\n            vec2 x = texcoord - vec2(segment.x,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n\\n        } else if (dx > segment.y) {\\n            vec2 x = texcoord - vec2(segment.y,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n        }\\n        /*  Original code for bevel which does not work for us\\n        if( (dx < segment.x) ||  (dx > segment.y) )\\n            d = max(d, min(abs(x.x),abs(x.y)));\\n        */\\n    }\\n\\n    return d;\\n}\\n\\nvoid main()\\n{\\n    // If color is fully transparent we just discard the fragment\\n    if( v_color.a <= 0.0 ) {\\n        discard;\\n    }\\n\\n    // Test if dash pattern is the solid one (0)\\n    bool solid =  (u_dash_index == 0.0);\\n\\n    // Test if path is closed\\n    bool closed = (u_closed > 0.0);\\n\\n    vec4 color = v_color;\\n    float dx = v_texcoord.x;\\n    float dy = v_texcoord.y;\\n    float t = v_linewidth/2.0-u_antialias;\\n    float width = 1.0;  //v_linewidth; original code had dashes scale with line width, we do not\\n    float d = 0.0;\\n\\n    vec2 linecaps = u_linecaps;\\n    vec2 dash_caps = u_dash_caps;\\n    float line_start = 0.0;\\n    float line_stop = v_length;\\n\\n    // Apply miter limit; fragments too far into the miter are simply discarded\\n    if( (dx < v_segment.x) || (dx > v_segment.y) ) {\\n        float into_miter = max(v_segment.x - dx, dx - v_segment.y);\\n        if (into_miter > u_miter_limit*v_linewidth/2.0)\\n          discard;\\n    }\\n\\n    // Solid line --------------------------------------------------------------\\n    if( solid ) {\\n        d = abs(dy);\\n        if( (!closed) && (dx < line_start) ) {\\n            d = cap( int(u_linecaps.x), abs(dx), abs(dy), t, v_linewidth );\\n        }\\n        else if( (!closed) &&  (dx > line_stop) ) {\\n            d = cap( int(u_linecaps.y), abs(dx)-line_stop, abs(dy), t, v_linewidth );\\n        }\\n        else {\\n            d = join( int(u_linejoin), abs(dy), v_segment, v_texcoord, v_miter, v_linewidth );\\n        }\\n\\n    // Dash line --------------------------------------------------------------\\n    } else {\\n        float segment_start = v_segment.x;\\n        float segment_stop  = v_segment.y;\\n        float segment_center= (segment_start+segment_stop)/2.0;\\n        float freq          = u_dash_period*width;\\n        float u = mod( dx + u_dash_phase*width, freq);\\n        vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n        float dash_center= tex.x * width;\\n        float dash_type  = tex.y;\\n        float _start = tex.z * width;\\n        float _stop  = tex.a * width;\\n        float dash_start = dx - u + _start;\\n        float dash_stop  = dx - u + _stop;\\n\\n        // Compute extents of the first dash (the one relative to v_segment.x)\\n        // Note: this could be computed in the vertex shader\\n        if( (dash_stop < segment_start) && (dash_caps.x != 5.0) ) {\\n            float u = mod(segment_start + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_start - u + _start;\\n            dash_stop = segment_start - u + _stop;\\n        }\\n\\n        // Compute extents of the last dash (the one relatives to v_segment.y)\\n        // Note: This could be computed in the vertex shader\\n        else if( (dash_start > segment_stop)  && (dash_caps.y != 5.0) ) {\\n            float u = mod(segment_stop + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_stop - u + _start;\\n            dash_stop  = segment_stop - u + _stop;\\n        }\\n\\n        // This test if the we are dealing with a discontinuous angle\\n        bool discontinuous = ((dx <  segment_center) && abs(v_angles.x) > THETA) ||\\n                             ((dx >= segment_center) && abs(v_angles.y) > THETA);\\n        //if( dx < line_start) discontinuous = false;\\n        //if( dx > line_stop)  discontinuous = false;\\n\\n        float d_join = join( int(u_linejoin), abs(dy),\\n                            v_segment, v_texcoord, v_miter, v_linewidth );\\n\\n        // When path is closed, we do not have room for linecaps, so we make room\\n        // by shortening the total length\\n        if (closed) {\\n             line_start += v_linewidth/2.0;\\n             line_stop  -= v_linewidth/2.0;\\n        }\\n\\n        // We also need to take antialias area into account\\n        //line_start += u_antialias;\\n        //line_stop  -= u_antialias;\\n\\n        // Check is dash stop is before line start\\n        if( dash_stop <= line_start ) {\\n            discard;\\n        }\\n        // Check is dash start is beyond line stop\\n        if( dash_start >= line_stop ) {\\n            discard;\\n        }\\n\\n        // Check if current dash start is beyond segment stop\\n        if( discontinuous ) {\\n            // Dash start is beyond segment, we discard\\n            if( (dash_start > segment_stop) ) {\\n                discard;\\n                //gl_FragColor = vec4(1.0,0.0,0.0,.25); return;\\n            }\\n\\n            // Dash stop is before segment, we discard\\n            if( (dash_stop < segment_start) ) {\\n                discard;  //gl_FragColor = vec4(0.0,1.0,0.0,.25); return;\\n            }\\n\\n            // Special case for round caps (nicer with this)\\n            if( dash_caps.x == 1.0 ) {\\n                if( (u > _stop) && (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for round caps  (nicer with this)\\n            if( dash_caps.y == 1.0 ) {\\n                if( (u < _start) && (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.x != 1.0) && (dash_caps.x != 5.0) ) {\\n                if( (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0) ) {\\n                    float a = v_angles.x/2.0;\\n                    float x = (segment_start-dx)*cos(a) - dy*sin(a);\\n                    float y = (segment_start-dx)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the cap into square to avoid holes\\n                    dash_caps.x = 4.0;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.y != 1.0) && (dash_caps.y != 5.0) ) {\\n                if( (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0) ) {\\n                    float a = v_angles.y/2.0;\\n                    float x = (dx-segment_stop)*cos(a) - dy*sin(a);\\n                    float y = (dx-segment_stop)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the caps into square to avoid holes\\n                    dash_caps.y = 4.0;\\n                }\\n            }\\n        }\\n\\n        // Line cap at start\\n        if( (dx < line_start) && (dash_start < line_start) && (dash_stop > line_start) ) {\\n            d = cap( int(linecaps.x), dx-line_start, dy, t, v_linewidth);\\n        }\\n        // Line cap at stop\\n        else if( (dx > line_stop) && (dash_stop > line_stop) && (dash_start < line_stop) ) {\\n            d = cap( int(linecaps.y), dx-line_stop, dy, t, v_linewidth);\\n        }\\n        // Dash cap left - dash_type = -1, 0 or 1, but there may be roundoff errors\\n        else if( dash_type < -0.5 ) {\\n            d = cap( int(dash_caps.y), abs(u-dash_center), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash cap right\\n        else if( dash_type > 0.5 ) {\\n            d = cap( int(dash_caps.x), abs(dash_center-u), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash body (plain)\\n        else {// if( dash_type > -0.5 &&  dash_type < 0.5) {\\n            d = abs(dy);\\n        }\\n\\n        // Line join\\n        if( (dx > line_start) && (dx < line_stop)) {\\n            if( (dx <= segment_start) && (dash_start <= segment_start)\\n                && (dash_stop >= segment_start) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.x;\\n                float f = abs( (segment_start - dx)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( (dx > segment_stop) && (dash_start <= segment_stop)\\n                     && (dash_stop >= segment_stop) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.y;\\n                float f = abs((dx - segment_stop)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( dx < (segment_start - v_linewidth/2.)) {\\n                discard;\\n            }\\n            else if( dx > (segment_stop + v_linewidth/2.)) {\\n                discard;\\n            }\\n        }\\n        else if( dx < (segment_start - v_linewidth/2.)) {\\n            discard;\\n        }\\n        else if( dx > (segment_stop + v_linewidth/2.)) {\\n            discard;\\n        }\\n    }\\n\\n    // Distance to border ------------------------------------------------------\\n    d = d - t;\\n    if( d < 0.0 ) {\\n        gl_FragColor = color;\\n    } else {\\n        d /= u_antialias;\\n        gl_FragColor = vec4(color.rgb, exp(-d*d)*color.a);\\n    }\\n}\\n\"},\n",
+       "      377: function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(373),r=t(374),o=t(378),_=t(379),h=t(213),l=t(12),n=t(72);class g extends r.BaseGLGlyph{init(){const{gl:t}=this,s=o.vertex_shader,e=_.fragment_shader(this._marker_code);this.prog=new a.Program(t),this.prog.set_shaders(s,e),this.vbo_x=new a.VertexBuffer(t),this.prog.set_attribute(\"a_x\",\"float\",this.vbo_x),this.vbo_y=new a.VertexBuffer(t),this.prog.set_attribute(\"a_y\",\"float\",this.vbo_y),this.vbo_s=new a.VertexBuffer(t),this.prog.set_attribute(\"a_size\",\"float\",this.vbo_s),this.vbo_a=new a.VertexBuffer(t),this.prog.set_attribute(\"a_angle\",\"float\",this.vbo_a),this.vbo_linewidth=new a.VertexBuffer(t),this.vbo_fg_color=new a.VertexBuffer(t),this.vbo_bg_color=new a.VertexBuffer(t),this.index_buffer=new a.IndexBuffer(t)}draw(t,s,e){const i=s.glglyph,{nvertices:a}=i;if(i.data_changed){if(!isFinite(e.dx)||!isFinite(e.dy))return;i._baked_offset=[e.dx,e.dy],i._set_data(a),i.data_changed=!1}else this.glyph instanceof h.CircleView&&null!=this.glyph._radius&&(null==this.last_trans||e.sx!=this.last_trans.sx||e.sy!=this.last_trans.sy)&&(this.last_trans=e,this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))));this.visuals_changed&&(this._set_visuals(a),this.visuals_changed=!1);const r=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[e.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[e.width,e.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[e.dx-r[0],e.dy-r[1]]),this.prog.set_uniform(\"u_scale\",\"vec2\",[e.sx,e.sy]),this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a),0!=t.length)if(t.length===a)this.prog.draw(this.gl.POINTS,[0,a]);else if(a<65535){const s=window.navigator.userAgent;s.indexOf(\"MSIE \")+s.indexOf(\"Trident/\")+s.indexOf(\"Edge/\")>0&&n.logger.warn(\"WebGL warning: IE is known to produce 1px sprites whith selections.\"),this.index_buffer.set_size(2*t.length),this.index_buffer.set_data(0,new Uint16Array(t)),this.prog.draw(this.gl.POINTS,this.index_buffer)}else{const s=64e3,e=[];for(let t=0,i=Math.ceil(a/s);t<i;t++)e.push([]);for(let i=0,a=t.length;i<a;i++){const a=t[i]%s;e[Math.floor(t[i]/s)].push(a)}for(let t=0,a=e.length;t<a;t++){const a=new Uint16Array(e[t]),r=t*s*4;0!==a.length&&(this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x,0,r),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y,0,r),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s,0,r),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a,0,r),this.vbo_linewidth.used&&this.prog.set_attribute(\"a_linewidth\",\"float\",this.vbo_linewidth,0,r),this.vbo_fg_color.used&&this.prog.set_attribute(\"a_fg_color\",\"vec4\",this.vbo_fg_color,0,4*r),this.vbo_bg_color.used&&this.prog.set_attribute(\"a_bg_color\",\"vec4\",this.vbo_bg_color,0,4*r),this.index_buffer.set_size(2*a.length),this.index_buffer.set_data(0,a),this.prog.draw(this.gl.POINTS,this.index_buffer))}}}_set_data(t){const s=4*t;this.vbo_x.set_size(s),this.vbo_y.set_size(s),this.vbo_a.set_size(s),this.vbo_s.set_size(s);const e=new Float64Array(this.glyph._x),i=new Float64Array(this.glyph._y);for(let s=0,a=t;s<a;s++)e[s]+=this._baked_offset[0],i[s]+=this._baked_offset[1];this.vbo_x.set_data(0,new Float32Array(e)),this.vbo_y.set_data(0,new Float32Array(i)),null!=this.glyph._angle&&this.vbo_a.set_data(0,new Float32Array(this.glyph._angle)),this.glyph instanceof h.CircleView&&null!=this.glyph._radius?this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))):this.vbo_s.set_data(0,new Float32Array(this.glyph._size))}_set_visuals(t){r.attach_float(this.prog,this.vbo_linewidth,\"a_linewidth\",t,this.glyph.visuals.line,\"line_width\"),r.attach_color(this.prog,this.vbo_fg_color,\"a_fg_color\",t,this.glyph.visuals.line,\"line\"),r.attach_color(this.prog,this.vbo_bg_color,\"a_bg_color\",t,this.glyph.visuals.fill,\"fill\"),this.prog.set_uniform(\"u_antialias\",\"float\",[.8])}}function f(t){return class extends g{get _marker_code(){return t}}}e.MarkerGLGlyph=g,g.__name__=\"MarkerGLGlyph\";const d=i.__importStar(t(379));e.CircleGLGlyph=f(d.circle),e.SquareGLGlyph=f(d.square),e.DiamondGLGlyph=f(d.diamond),e.TriangleGLGlyph=f(d.triangle),e.InvertedTriangleGLGlyph=f(d.invertedtriangle),e.HexGLGlyph=f(d.hex),e.CrossGLGlyph=f(d.cross),e.CircleCrossGLGlyph=f(d.circlecross),e.SquareCrossGLGlyph=f(d.squarecross),e.DiamondCrossGLGlyph=f(d.diamondcross),e.XGLGlyph=f(d.x),e.CircleXGLGlyph=f(d.circlex),e.SquareXGLGlyph=f(d.squarex),e.AsteriskGLGlyph=f(d.asterisk)},\n",
+       "      378: function _(n,i,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.vertex_shader=\"\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\n//\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform vec2 u_offset;\\nuniform vec2 u_scale;\\nuniform float u_antialias;\\n//\\nattribute float a_x;\\nattribute float a_y;\\nattribute float a_size;\\nattribute float a_angle;  // in radians\\nattribute float a_linewidth;\\nattribute vec4  a_fg_color;\\nattribute vec4  a_bg_color;\\n//\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying vec2  v_rotation;\\n\\nvoid main (void)\\n{\\n    v_size = a_size * u_pixel_ratio;\\n    v_linewidth = a_linewidth * u_pixel_ratio;\\n    v_fg_color = a_fg_color;\\n    v_bg_color = a_bg_color;\\n    v_rotation = vec2(cos(-a_angle), sin(-a_angle));\\n    // Calculate position - the -0.5 is to correct for canvas origin\\n    vec2 pos = (vec2(a_x, a_y) + u_offset) * u_scale; // in pixels\\n    pos += 0.5;  // make up for Bokeh's offset\\n    pos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(pos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n    gl_PointSize = SQRT_2 * v_size + 2.0 * (v_linewidth + 1.5*u_antialias);\\n}\\n\"},\n",
+       "      379: function _(a,n,s){Object.defineProperty(s,\"__esModule\",{value:!0}),s.fragment_shader=a=>`\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float PI = 3.14159265358979323846264;\\n//\\nuniform float u_antialias;\\n//\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2  v_rotation;\\n\\n${a}\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 fg_color, vec4 bg_color)\\n{\\n    vec4 frag_color;\\n    float t = linewidth/2.0 - antialias;\\n    float signed_distance = distance;\\n    float border_distance = abs(signed_distance) - t;\\n    float alpha = border_distance/antialias;\\n    alpha = exp(-alpha*alpha);\\n\\n    // If fg alpha is zero, it probably means no outline. To avoid a dark outline\\n    // shining through due to aa, we set the fg color to the bg color. Avoid if (i.e. branching).\\n    float select = float(bool(fg_color.a));\\n    fg_color.rgb = select * fg_color.rgb + (1.0  - select) * bg_color.rgb;\\n    // Similarly, if we want a transparent bg\\n    select = float(bool(bg_color.a));\\n    bg_color.rgb = select * bg_color.rgb + (1.0  - select) * fg_color.rgb;\\n\\n    if( border_distance < 0.0)\\n        frag_color = fg_color;\\n    else if( signed_distance < 0.0 ) {\\n        frag_color = mix(bg_color, fg_color, sqrt(alpha));\\n    } else {\\n        if( abs(signed_distance) < (linewidth/2.0 + antialias) ) {\\n            frag_color = vec4(fg_color.rgb, fg_color.a * alpha);\\n        } else {\\n            discard;\\n        }\\n    }\\n    return frag_color;\\n}\\n\\nvoid main()\\n{\\n    vec2 P = gl_PointCoord.xy - vec2(0.5, 0.5);\\n    P = vec2(v_rotation.x*P.x - v_rotation.y*P.y,\\n             v_rotation.y*P.x + v_rotation.x*P.y);\\n    float point_size = SQRT_2*v_size  + 2.0 * (v_linewidth + 1.5*u_antialias);\\n    float distance = marker(P*point_size, v_size);\\n    gl_FragColor = outline(distance, v_linewidth, u_antialias, v_fg_color, v_bg_color);\\n    //gl_FragColor.rgb *= gl_FragColor.a;  // pre-multiply alpha\\n}\\n`,s.circle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return length(P) - size/2.0;\\n}\\n\",s.square=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n\",s.diamond=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    return r1 / SQRT_2;\\n}\\n\",s.hex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    vec2 q = abs(P);\\n    return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n\",s.triangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y -= size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.invertedtriangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y += size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = - P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.cross='\\nfloat marker(vec2 P, float size)\\n{\\n    float square = max(abs(P.x), abs(P.y)) - size / 2.5;   // 2.5 is a tweak\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(square, cross);\\n}\\n',s.circlecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.squarecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.diamondcross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    diamond /= SQRT_2;\\n    float c1 = max(diamond, s1);\\n    float c2 = max(diamond, s2);\\n    float c3 = max(diamond, s3);\\n    float c4 = max(diamond, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.x='\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size / 1.6;\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(circle, X);\\n}\\n',s.circlex='\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    float almost = min(min(min(c1, c2), c3), c4);\\n    // In this case, the X is also outside of the main shape\\n    float Xmask = length(P) - size / 1.6;  // a circle\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return min(max(X, Xmask), almost);\\n}\\n',s.squarex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.asterisk='\\nfloat marker(vec2 P, float size)\\n{\\n    // Masks\\n    float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / (2.0 * SQRT_2);\\n    float square = max(abs(P.x), abs(P.y)) - size / (2.0 * SQRT_2);\\n    // Shapes\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    // Result is union of masked shapes\\n    return min(max(X, diamond), max(cross, square));\\n}\\n'},\n",
+       "      }, 370, {\"models/glyphs/webgl/main\":370,\"models/glyphs/webgl/index\":371,\"models/glyphs/webgl/line\":372,\"models/glyphs/webgl/base\":374,\"models/glyphs/webgl/line.vert\":375,\"models/glyphs/webgl/line.frag\":376,\"models/glyphs/webgl/markers\":377,\"models/glyphs/webgl/markers.vert\":378,\"models/glyphs/webgl/markers.frag\":379}, {});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END bokeh-gl.min.js */\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      Bokeh.set_log_level(\"info\");\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      /* BEGIN panel.min.js */\n",
+       "      /*!\n",
+       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
+       "       * All rights reserved.\n",
+       "       * \n",
+       "       * Redistribution and use in source and binary forms, with or without modification,\n",
+       "       * are permitted provided that the following conditions are met:\n",
+       "       * \n",
+       "       * Redistributions of source code must retain the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer.\n",
+       "       * \n",
+       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
+       "       * this list of conditions and the following disclaimer in the documentation\n",
+       "       * and/or other materials provided with the distribution.\n",
+       "       * \n",
+       "       * Neither the name of Anaconda nor the names of any contributors\n",
+       "       * may be used to endorse or promote products derived from this software\n",
+       "       * without specific prior written permission.\n",
+       "       * \n",
+       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
+       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
+       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
+       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
+       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
+       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
+       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
+       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
+       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
+       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
+       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
+       "      */\n",
+       "      (function(root, factory) {\n",
+       "        factory(root[\"Bokeh\"], undefined);\n",
+       "      })(this, function(Bokeh, version) {\n",
+       "        var define;\n",
+       "        return (function(modules, entry, aliases, externals) {\n",
+       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
+       "          if (bokeh != null) {\n",
+       "            return bokeh.register_plugin(modules, entry, aliases);\n",
+       "          } else {\n",
+       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
+       "          }\n",
+       "        })\n",
+       "      ({\n",
+       "      \"4e90918c0a\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"22ae8fda70\"));o.Panel=s,e(\"@bokehjs/base\").register_models(s)},\n",
+       "      \"22ae8fda70\": function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=a(\"tslib\");var t=a(\"3343056bd8\");r.AcePlot=t.AcePlot;var c=a(\"66d52165db\");r.Audio=c.Audio;var l=a(\"71a9759436\");r.CommManager=l.CommManager;var d=a(\"d0d2aafca0\");r.DeckGLPlot=d.DeckGLPlot;var v=a(\"ed08037ce5\");r.HTML=v.HTML;var b=a(\"284504a0cf\");r.JSON=b.JSON;var P=a(\"61c9ac7aac\");r.FileDownload=P.FileDownload;var f=a(\"7b859fb3cf\");r.KaTeX=f.KaTeX;var i=a(\"0c21036737\");r.MathJax=i.MathJax;var n=a(\"79c41bbf71\");r.Player=n.Player;var s=a(\"56da045fbd\");r.PlotlyPlot=s.PlotlyPlot;var M=a(\"76307e5afa\");r.Progress=M.Progress;var S=a(\"38b2bc9574\");r.State=S.State;var g=a(\"294adeb985\");r.VegaPlot=g.VegaPlot;var m=a(\"b0c3e9e9c2\");r.Video=m.Video;var V=a(\"3c7145a2fa\");r.VideoStream=V.VideoStream,o.__exportStar(a(\"ecfbb965eb\"),r)},\n",
+       "      \"3343056bd8\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),n=e(\"@bokehjs/core/dom\"),a=e(\"7116a7a602\");class d extends a.PanelHTMLBoxView{initialize(){super.initialize(),this._ace=window.ace,this._container=n.div({id:\"_\"+Math.random().toString(36).substr(2,9),style:{width:\"100%\",height:\"100%\"}})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.code.change,()=>this._update_code_from_model()),this.connect(this.model.properties.theme.change,()=>this._update_theme()),this.connect(this.model.properties.language.change,()=>this._update_language()),this.connect(this.model.properties.annotations.change,()=>this._add_annotations()),this.connect(this.model.properties.readonly.change,()=>{this._editor.setReadOnly(this.model.readonly)})}render(){super.render(),this._container!==this.el.childNodes[0]&&this.el.appendChild(this._container),this._container.textContent=this.model.code,this._editor=this._ace.edit(this._container.id),this._editor.setTheme(\"ace/theme/\"+this.model.theme),this._editor.session.setMode(\"ace/mode/\"+this.model.language),this._editor.setReadOnly(this.model.readonly),this._langTools=this._ace.require(\"ace/ext/language_tools\"),this._editor.setOptions({enableBasicAutocompletion:!0,enableSnippets:!0,fontFamily:\"monospace\"}),this._editor.on(\"change\",()=>this._update_code_from_editor())}_update_code_from_model(){this._editor&&this._editor.getValue()!=this.model.code&&this._editor.setValue(this.model.code)}_update_code_from_editor(){this._editor.getValue()!=this.model.code&&(this.model.code=this._editor.getValue())}_update_theme(){this._editor.setTheme(\"ace/theme/\"+this.model.theme)}_update_language(){this._editor.session.setMode(\"ace/mode/\"+this.model.language)}_add_annotations(){this._editor.session.setAnnotations(this.model.annotations)}after_layout(){super.after_layout(),this._editor.resize()}}o.AcePlotView=d,d.__name__=\"AcePlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_AcePlot(){this.prototype.default_view=d,this.define({code:[i.String],language:[i.String,\"python\"],theme:[i.String,\"chrome\"],annotations:[i.Array,[]],readonly:[i.Boolean,!1]}),this.override({height:300,width:300})}}o.AcePlot=h,h.__name__=\"AcePlot\",h.__module__=\"panel.models.ace\",h.init_AcePlot()},\n",
+       "      \"7116a7a602\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(\"@bokehjs/core/layout/html\"),h=e(\"@bokehjs/core/layout/types\"),o=e(\"@bokehjs/core/dom\"),n=e(\"@bokehjs/models/widgets/markup\"),_=e(\"@bokehjs/models/layouts/html_box\");function a(e,i){let t=null!=i.width?\"fixed\":\"fit\",s=null!=i.height?\"fixed\":\"fit\";const{sizing_mode:h}=i;if(null!=h)if(\"fixed\"==h)t=s=\"fixed\";else if(\"stretch_both\"==h)t=s=\"max\";else if(\"stretch_width\"==h)t=\"max\";else if(\"stretch_height\"==h)s=\"max\";else switch(h){case\"scale_width\":t=\"max\",s=\"min\";break;case\"scale_height\":t=\"min\",s=\"max\";break;case\"scale_both\":t=\"max\",s=\"max\";break;default:throw new Error(\"unreachable\")}\"fixed\"==t&&i.width?e.style.width=i.width+\"px\":\"max\"==t&&(e.style.width=\"100%\"),\"fixed\"==s&&i.height?e.style.height=i.height+\"px\":\"max\"==s&&(e.style.height=\"100%\")}t.set_size=a;class d extends s.VariadicBox{constructor(e,i,t){super(e),this.el=e,this.sizing_mode=i,this.changed=t,this._cache=new Map,this._cache_count=new Map}_measure(e){const i=[e.width,e.height,this.sizing_mode].toString(),t=this.changed&&\"fixed\"!=this.sizing_mode&&null!=this.sizing_mode?1:0,s=this._cache.get(i),n=this._cache_count.get(i);if(null!=s&&null!=n&&n>=t)return this._cache_count.set(i,n+1),s;const _=new h.Sizeable(e).bounded_to(this.sizing.size),a=o.sized(this.el,_,()=>{const e=new h.Sizeable(o.content_size(this.el)),{border:i,padding:t}=o.extents(this.el);return e.grow_by(i).grow_by(t).map(Math.ceil)});return this._cache.set(i,a),this._cache_count.set(i,0),a}invalidate_cache(){}}t.CachedVariadicBox=d,d.__name__=\"CachedVariadicBox\";class l extends n.MarkupView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.markup_el,this.model)}}t.PanelMarkupView=l,l.__name__=\"PanelMarkupView\";class c extends _.HTMLBoxView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.el,this.model)}}t.PanelHTMLBoxView=c,c.__name__=\"PanelHTMLBoxView\"},\n",
+       "      \"66d52165db\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.audioEl=document.createElement(\"audio\"),this.audioEl.controls=!0,this.audioEl.src=this.model.value,this.audioEl.currentTime=this.model.time,this.audioEl.loop=this.model.loop,null!=this.model.volume?this.audioEl.volume=this.model.volume/100:this.model.volume=100*this.audioEl.volume,this.audioEl.onpause=()=>this.model.paused=!0,this.audioEl.onplay=()=>this.model.paused=!1,this.audioEl.ontimeupdate=()=>this.update_time(this),this.audioEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.audioEl),this.model.paused||this.audioEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.audioEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.audioEl.volume)}set_loop(){this.audioEl.loop=this.model.loop}set_paused(){!this.audioEl.paused&&this.model.paused&&this.audioEl.pause(),this.audioEl.paused&&!this.model.paused&&this.audioEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.audioEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.audioEl.currentTime=this.model.time)}set_value(){this.audioEl.src=this.model.value}}i.AudioView=d,d.__name__=\"AudioView\";class u extends s.HTMLBox{constructor(e){super(e)}static init_Audio(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}i.Audio=u,u.__name__=\"Audio\",u.__module__=\"panel.models.widgets\",u.init_Audio()},\n",
+       "      \"71a9759436\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/document\"),s=e(\"@bokehjs/core/view\"),c=e(\"@bokehjs/model\"),_=e(\"@bokehjs/protocol/message\"),l=e(\"@bokehjs/protocol/receiver\");class r extends s.View{renderTo(){}}n.CommManagerView=r,r.__name__=\"CommManagerView\";class a extends c.Model{constructor(e){super(e),this._document_listener=e=>this._document_changed(e),this._receiver=new l.Receiver,this._event_buffer=[],this._blocked=!1,this._timeout=Date.now(),null!=window.PyViz&&window.PyViz.comm_manager?(this.ns=window.PyViz,this.ns.comm_manager.register_target(this.plot_id,this.comm_id,e=>this.msg_handler(e)),this._client_comm=this.ns.comm_manager.get_client_comm(this.plot_id,this.client_comm_id,e=>this.on_ack(e))):console.log(\"Could not find comm manager on window.PyViz, ensure the extension is loaded.\")}_doc_attached(){super._doc_attached(),null!=this.document&&this.document.on_change(this._document_listener)}_document_changed(e){e.setter_id!==this.id&&(e instanceof i.ModelChangedEvent&&!(e.attr in e.model.serializable_attributes())||(this._event_buffer.unshift(e),(!this._blocked||Date.now()>this._timeout)&&(setTimeout(()=>this.process_events(),this.debounce),this._blocked=!0,this._timeout=Date.now()+this.timeout)))}process_events(){if(null==this.document||null==this._client_comm)return;const e=_.Message.create(\"PATCH-DOC\",{},this.document.create_json_patch(this._event_buffer));this._client_comm.send(e),this._event_buffer=[]}on_ack(e){const t=e.metadata;this._event_buffer.length?(this.process_events(),this._blocked=!0,this._timeout=Date.now()+this.timeout):this._blocked=!1,this._event_buffer=[],\"Ready\"==t.msg_type&&t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback)}msg_handler(e){const t=e.metadata,n=e.buffers,o=e.content.data,i=this.plot_id;if(\"Ready\"==t.msg_type)t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback);else if(null!=i){let e=null;if(i in this.ns.plot_index&&null!=this.ns.plot_index[i]?e=this.ns.plot_index[i]:void 0!==window.Bokeh&&i in window.Bokeh.index&&(e=window.Bokeh.index[i]),null==e)return;null!=n&&n.length>0?this._receiver.consume(n[0].buffer):this._receiver.consume(o);const t=this._receiver.message;null!=t&&Object.keys(t.content).length>0&&null!=this.document&&this.document.apply_json_patch(t.content,t.buffers,this.id)}}static init_CommManager(){this.prototype.default_view=r,this.define({plot_id:[o.String,null],comm_id:[o.String,null],client_comm_id:[o.String,null],timeout:[o.Number,5e3],debounce:[o.Number,50]})}}n.CommManager=a,a.__name__=\"CommManager\",a.__module__=\"panel.models.comm_manager\",a.init_CommManager()},\n",
+       "      \"d0d2aafca0\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\"),n=e(\"@bokehjs/core/dom\"),a=i.__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),c=e(\"7116a7a602\"),r=e(\"064eac2866\"),d=i.__importDefault(e(\"093eb75864\"));function l(){const e={},t=window.deck,o=Object.keys(t).filter(e=>e.charAt(0)===e.charAt(0).toUpperCase());for(const i of o)e[i]=t[i];return e}class _ extends c.PanelHTMLBoxView{connect_signals(){super.connect_signals();const{data:e,mapbox_api_key:t,tooltip:o,layers:i,initialViewState:n,data_sources:a}=this.model.properties;this.on_change([t,o],()=>this.render()),this.on_change([e,n],()=>this.updateDeck()),this.on_change([i],()=>this._update_layers()),this.on_change([a],()=>this._connect_sources(!0)),this._layer_map={},this._connected=[],this._connect_sources()}_update_layers(){this._layer_map={},this._update_data(!0)}_connect_sources(e=!1){for(const e of this.model.data_sources)this._connected.indexOf(e)<0&&(this.connect(e.properties.data.change,()=>this._update_data(!0)),this._connected.push(e));this._update_data(e)}initialize(){if(super.initialize(),window.deck.JSONConverter){const{CSVLoader:e,Tile3DLoader:t}=window.loaders;window.loaders.registerLoaders([t,e]);const o={classes:l(),enumerations:{COORDINATE_SYSTEM:window.deck.COORDINATE_SYSTEM,GL:d.default},constants:{Tile3DLoader:t}};this.jsonConverter=new window.deck.JSONConverter({configuration:o})}}_update_data(e=!0){let t=0;for(const e of this.model.layers){let o;if(t+=1,t-1 in this._layer_map)o=this.model.data_sources[this._layer_map[t-1]];else{if(\"number\"!=typeof e.data)continue;this._layer_map[t-1]=e.data,o=this.model.data_sources[e.data]}const i=[],n=o.columns();for(let e=0;e<o.get_length();e++){const t={};for(const i of n){let n=o.get_array(i);const a=null==n[0].shape?null:n[0].shape;null!=a&&a.length>1&&\"number\"==typeof a[0]?t[i]=n.slice(e*a[1],e*a[1]+a[1]):t[i]=n[e]}i.push(t)}e.data=i}e&&this.updateDeck()}_on_click_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.clickState=t}_on_hover_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.hoverState=t}_on_viewState_event(e){this.model.viewState=e.viewState}getData(){return Object.assign(Object.assign({},this.model.data),{layers:this.model.layers,initialViewState:this.model.initialViewState,onViewStateChange:e=>this._on_viewState_event(e),onClick:e=>this._on_click_event(e),onHover:e=>this._on_hover_event(e)})}updateDeck(){if(!this.deckGL)return void this.render();const e=this.getData();if(window.deck.updateDeck)window.deck.updateDeck(e,this.deckGL);else{const t=this.jsonConverter.convert(e);this.deckGL.setProps(t)}}createDeck({mapboxApiKey:e,container:t,jsonInput:o,tooltip:i}){let n;try{const a=this.jsonConverter.convert(o),s=r.makeTooltip(i);n=new window.deck.DeckGL(Object.assign(Object.assign({},a),{map:window.mapboxgl,mapboxApiAccessToken:e,container:t,getTooltip:s}))}catch(e){console.error(e)}return n}render(){super.render();const e=n.div({class:\"deckgl\"});c.set_size(e,this.model);const t=this.model.mapbox_api_key,o=this.model.tooltip,i=this.getData();window.deck.createDeck?this.deckGL=window.deck.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}):this.deckGL=this.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}),this.el.appendChild(e)}}o.DeckGLPlotView=_,_.__name__=\"DeckGLPlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_DeckGLPlot(){this.prototype.default_view=_,this.define({data:[a.Any],data_sources:[a.Array,[]],clickState:[a.Any],hoverState:[a.Any],initialViewState:[a.Any],layers:[a.Array,[]],mapbox_api_key:[a.String],tooltip:[a.Any],viewState:[a.Any]}),this.override({height:400,width:600})}}o.DeckGLPlot=h,h.__name__=\"DeckGLPlot\",h.__module__=\"panel.models.deckgl\",h.init_DeckGLPlot()},\n",
+       "      \"064eac2866\": function _(e,t,n){\n",
+       "      /*\n",
+       "          This file was adapted from https://github.com/uber/deck.gl/ the LICENSE\n",
+       "          below is preserved to comply with the original license.\n",
+       "          \n",
+       "          Copyright (c) 2015 - 2017 Uber Technologies, Inc.\n",
+       "          \n",
+       "          Permission is hereby granted, free of charge, to any person obtaining a copy\n",
+       "          of this software and associated documentation files (the \"Software\"), to deal\n",
+       "          in the Software without restriction, including without limitation the rights\n",
+       "          to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n",
+       "          copies of the Software, and to permit persons to whom the Software is\n",
+       "          furnished to do so, subject to the following conditions:\n",
+       "          \n",
+       "          The above copyright notice and this permission notice shall be included in\n",
+       "          all copies or substantial portions of the Software.\n",
+       "          \n",
+       "          THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n",
+       "          IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n",
+       "          FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n",
+       "          AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n",
+       "          LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n",
+       "          OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n",
+       "          THE SOFTWARE.\n",
+       "          */\n",
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+       "      \"093eb75864\": function 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i=s(this.type,this.json,this.useToJSON?this.json.toJSON():this.json);e.appendChild(document.createTextNode(i)),t.appendChild(e)}if(this.isObject&&this.config.hoverPreviewEnabled){var a=m(\"span\",\"preview-text\");a.appendChild(document.createTextNode(this.getInlinepreview())),t.appendChild(a)}var l=m(\"div\",\"children\");return this.isObject&&l.classList.add(f(\"object\")),this.isArray&&l.classList.add(f(\"array\")),this.isEmpty&&l.classList.add(f(\"empty\")),this.config&&this.config.theme&&this.element.classList.add(f(this.config.theme)),this.isOpen&&this.element.classList.add(f(\"open\")),this.element.appendChild(t),this.element.appendChild(l),this.isObject&&this.isOpen&&this.appendChildren(),this.isObject&&!this.useToJSON&&t.addEventListener(\"click\",this.toggleOpen.bind(this)),this.element},t.prototype.appendChildren=function(e){var r=this;void 0===e&&(e=!1);var n=this.element.querySelector(\"div.\"+f(\"children\"));if(n&&!this.isEmpty)if(e){var o=0,i=function(){var e=r.keys[o],s=new t(r.json[e],r.open-1,r.config,e);n.appendChild(s.render()),(o+=1)<r.keys.length&&(o>10?i():p(i))};p(i)}else this.keys.forEach((function(e){var o=new t(r.json[e],r.open-1,r.config,e);n.appendChild(o.render())}))},t.prototype.removeChildren=function(t){void 0===t&&(t=!1);var e=this.element.querySelector(\"div.\"+f(\"children\"));if(t){var r=0,n=function(){e&&e.children.length&&(e.removeChild(e.children[0]),(r+=1)>10?n():p(n))};p(n)}else e&&(e.innerHTML=\"\")},t}();r.default=h},\n",
+       "      \"61c9ac7aac\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(\"tslib\"),s=e(\"@bokehjs/models/widgets/input_widget\"),o=e(\"@bokehjs/styles/buttons\"),n=l.__importStar(e(\"@bokehjs/core/properties\"));class a extends s.InputWidgetView{constructor(){super(...arguments),this._downloadable=!1,this._embed=!1,this._prev_href=\"\",this._prev_download=\"\"}initialize(){super.initialize(),this.model.data&&this.model.filename&&(this._embed=!0)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.button_type.change,()=>this._update_button_style()),this.connect(this.model.properties.filename.change,()=>this._update_download()),this.connect(this.model.properties._transfers.change,()=>this._handle_click()),this.connect(this.model.properties.label.change,()=>this._update_label())}render(){super.render(),this.group_el.style.display=\"flex\",this.group_el.style.alignItems=\"stretch\",this.anchor_el=document.createElement(\"a\"),this._update_button_style(),this._update_label(),this.model.disabled?(this.anchor_el.setAttribute(\"disabled\",\"\"),this._downloadable=!1):(this.anchor_el.removeAttribute(\"disabled\"),this._prev_download&&(this.anchor_el.download=this._prev_download),this._prev_href&&(this.anchor_el.href=this._prev_href),this.anchor_el.download&&this.anchor_el.download&&(this._downloadable=!0)),this._embed?this._make_link_downloadable():(this._click_listener=this._increment_clicks.bind(this),this.anchor_el.addEventListener(\"click\",this._click_listener)),this.group_el.appendChild(this.anchor_el)}_increment_clicks(){this.model.clicks=this.model.clicks+1}_handle_click(){!this.model.auto&&this._downloadable||(this._make_link_downloadable(),!this._embed&&this.model.auto&&(this.anchor_el.removeEventListener(\"click\",this._click_listener),this.anchor_el.click(),this.anchor_el.removeAttribute(\"href\"),this.anchor_el.removeAttribute(\"download\"),this.anchor_el.addEventListener(\"click\",this._click_listener)),this._prev_href=this.anchor_el.getAttribute(\"href\"),this._prev_download=this.anchor_el.getAttribute(\"download\"))}_make_link_downloadable(){this._update_href(),this._update_download(),this.anchor_el.download&&this.anchor_el.href&&(this._downloadable=!0)}_update_href(){if(this.model.data){const e=function(e){const t=atob(e.split(\",\")[1]),i=e.split(\",\")[0].split(\":\")[1].split(\";\")[0],l=new ArrayBuffer(t.length),s=new Uint8Array(l);for(let e=0;e<t.length;e++)s[e]=t.charCodeAt(e);return new Blob([l],{type:i})}(this.model.data);this.anchor_el.href=URL.createObjectURL(e)}}_update_download(){this.model.filename&&(this.anchor_el.download=this.model.filename)}_update_label(){this.anchor_el.textContent=this.model.label}_update_button_style(){if(this.anchor_el.hasAttribute(\"class\")){const e=this.anchor_el.classList.item(1);e&&this.anchor_el.classList.replace(e,o.bk_btn_type(this.model.button_type))}else this.anchor_el.classList.add(o.bk_btn),this.anchor_el.classList.add(o.bk_btn_type(this.model.button_type))}}i.FileDownloadView=a,a.__name__=\"FileDownloadView\";class h extends s.InputWidget{constructor(e){super(e)}static init_FileDownload(){this.prototype.default_view=a,this.define({auto:[n.Boolean,!1],clicks:[n.Number,0],data:[n.String,null],label:[n.String,\"Download\"],filename:[n.String,null],button_type:[n.ButtonType,\"default\"],_transfers:[n.Number,0]}),this.override({title:\"\"})}}i.FileDownload=h,h.__name__=\"FileDownload\",h.__module__=\"panel.models.widgets\",h.init_FileDownload()},\n",
+       "      \"7b859fb3cf\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(\"@bokehjs/models/widgets/markup\"),n=e(\"7116a7a602\");class r extends n.PanelMarkupView{render(){super.render(),this.markup_el.innerHTML=this.model.text,window.renderMathInElement&&window.renderMathInElement(this.el,{delimiters:[{left:\"$$\",right:\"$$\",display:!0},{left:\"\\\\[\",right:\"\\\\]\",display:!0},{left:\"$\",right:\"$\",display:!1},{left:\"\\\\(\",right:\"\\\\)\",display:!1}]})}}i.KaTeXView=r,r.__name__=\"KaTeXView\";class s extends a.Markup{constructor(e){super(e)}static init_KaTeX(){this.prototype.default_view=r}}i.KaTeX=s,s.__name__=\"KaTeX\",s.__module__=\"panel.models.katex\",s.init_KaTeX()},\n",
+       "      \"0c21036737\": function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(\"@bokehjs/models/widgets/markup\"),s=e(\"7116a7a602\");class _ extends s.PanelMarkupView{initialize(){super.initialize(),this._hub=window.MathJax.Hub,this._hub.Config({tex2jax:{inlineMath:[[\"$\",\"$\"],[\"\\\\(\",\"\\\\)\"]]}})}render(){super.render(),this._hub&&(this.markup_el.innerHTML=this.model.text,this._hub.Queue([\"Typeset\",this._hub,this.markup_el]))}}a.MathJaxView=_,_.__name__=\"MathJaxView\";class h extends i.Markup{constructor(e){super(e)}static init_MathJax(){this.prototype.default_view=_}}a.MathJax=h,h.__name__=\"MathJax\",h.__module__=\"panel.models.mathjax\",h.init_MathJax()},\n",
+       "      \"79c41bbf71\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/models/widgets/widget\");function n(e){e.forEach(e=>e.style.borderStyle=\"inset\")}function a(e){e.forEach(e=>e.style.borderStyle=\"outset\")}class r extends l.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.value.change,()=>this.render()),this.connect(this.model.properties.loop_policy.change,()=>this.set_loop_state(this.model.loop_policy)),this.connect(this.model.properties.show_loop_controls.change,()=>{this.model.show_loop_controls&&this.loop_state.parentNode!=this.groupEl?this.groupEl.appendChild(this.loop_state):this.model.show_loop_controls||this.loop_state.parentNode!=this.groupEl||this.el.removeChild(this.loop_state)})}get_height(){return 250}render(){if(null!=this.sliderEl)return this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),void(this.sliderEl.value=String(this.model.value));super.render(),this.groupEl=o.div(),this.groupEl.style.display=\"flex\",this.groupEl.style.flexDirection=\"column\",this.groupEl.style.alignItems=\"center\",this.sliderEl=document.createElement(\"input\"),this.sliderEl.style.width=\"100%\",this.sliderEl.setAttribute(\"type\",\"range\"),this.sliderEl.value=String(this.model.value),this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),this.sliderEl.onchange=e=>this.set_frame(parseInt(e.target.value));const e=o.div();e.style.cssText=\"margin: 0 auto; display: flex; padding: 5px; align-items: stretch; width: 100%;\";const t=\"text-align: center; min-width: 20px; flex-grow: 1; margin: 2px\",s=\"text-align: center; min-width: 40px; flex-grow: 2; margin: 2px\",i=document.createElement(\"button\");i.style.cssText=t,i.appendChild(document.createTextNode(\"–\")),i.onclick=()=>this.slower(),e.appendChild(i);const l=document.createElement(\"button\");l.style.cssText=s,l.appendChild(document.createTextNode(\"❚◀◀\")),l.onclick=()=>this.first_frame(),e.appendChild(l);const r=document.createElement(\"button\");r.style.cssText=s,r.appendChild(document.createTextNode(\"❚◀\")),r.onclick=()=>this.previous_frame(),e.appendChild(r);const d=document.createElement(\"button\");d.style.cssText=s,d.appendChild(document.createTextNode(\"◀\")),d.onclick=()=>this.reverse_animation(),e.appendChild(d);const h=document.createElement(\"button\");h.style.cssText=s,h.appendChild(document.createTextNode(\"❚❚\")),h.onclick=()=>this.pause_animation(),e.appendChild(h);const p=document.createElement(\"button\");p.style.cssText=s,p.appendChild(document.createTextNode(\"▶\")),p.onclick=()=>this.play_animation(),e.appendChild(p);const c=document.createElement(\"button\");c.style.cssText=s,c.appendChild(document.createTextNode(\"▶❚\")),c.onclick=()=>this.next_frame(),e.appendChild(c);const m=document.createElement(\"button\");m.style.cssText=s,m.appendChild(document.createTextNode(\"▶▶❚\")),m.onclick=()=>this.last_frame(),e.appendChild(m);const _=document.createElement(\"button\");_.style.cssText=t,_.appendChild(document.createTextNode(\"+\")),_.onclick=()=>this.faster(),e.appendChild(_),this._toggle_reverse=()=>{a([h,p]),n([d])},this._toogle_pause=()=>{a([d,p]),n([h])},this._toggle_play=()=>{a([d,h]),n([p])},this.loop_state=document.createElement(\"form\"),this.loop_state.style.cssText=\"margin: 0 auto; display: table\";const u=document.createElement(\"input\");u.type=\"radio\",u.value=\"once\",u.name=\"state\";const g=document.createElement(\"label\");g.innerHTML=\"Once\",g.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const f=document.createElement(\"input\");f.setAttribute(\"type\",\"radio\"),f.setAttribute(\"value\",\"loop\"),f.setAttribute(\"name\",\"state\");const v=document.createElement(\"label\");v.innerHTML=\"Loop\",v.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const y=document.createElement(\"input\");y.setAttribute(\"type\",\"radio\"),y.setAttribute(\"value\",\"reflect\"),y.setAttribute(\"name\",\"state\");const x=document.createElement(\"label\");x.innerHTML=\"Reflect\",x.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\",\"once\"==this.model.loop_policy?u.checked=!0:\"loop\"==this.model.loop_policy?f.checked=!0:y.checked=!0,this.loop_state.appendChild(u),this.loop_state.appendChild(g),this.loop_state.appendChild(f),this.loop_state.appendChild(v),this.loop_state.appendChild(y),this.loop_state.appendChild(x),this.groupEl.appendChild(this.sliderEl),this.groupEl.appendChild(e),this.model.show_loop_controls&&this.groupEl.appendChild(this.loop_state),this.el.appendChild(this.groupEl)}set_frame(e){this.model.value!=e&&(this.model.value=e),this.sliderEl.value!=String(e)&&(this.sliderEl.value=String(e))}get_loop_state(){for(var e=this.loop_state.state,t=0;t<e.length;t++){var s=e[t];if(s.checked)return s.value}return\"once\"}set_loop_state(e){for(var t=this.loop_state.state,s=0;s<t.length;s++){var i=t[s];i.value==e&&(i.checked=!0)}}next_frame(){this.set_frame(Math.min(this.model.end,this.model.value+this.model.step))}previous_frame(){this.set_frame(Math.max(this.model.start,this.model.value-this.model.step))}first_frame(){this.set_frame(this.model.start)}last_frame(){this.set_frame(this.model.end)}slower(){this.model.interval=Math.round(this.model.interval/.7),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}faster(){this.model.interval=Math.round(.7*this.model.interval),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}anim_step_forward(){if(this.model.value<this.model.end)this.next_frame();else{var e=this.get_loop_state();\"loop\"==e?this.first_frame():\"reflect\"==e?(this.last_frame(),this.reverse_animation()):(this.pause_animation(),this.last_frame())}}anim_step_reverse(){if(this.model.value>this.model.start)this.previous_frame();else{var e=this.get_loop_state();\"loop\"==e?this.last_frame():\"reflect\"==e?(this.first_frame(),this.play_animation()):(this.pause_animation(),this.first_frame())}}pause_animation(){this._toogle_pause(),this.model.direction=0,this.timer&&(clearInterval(this.timer),this.timer=null)}play_animation(){this.pause_animation(),this._toggle_play(),this.model.direction=1,this.timer||(this.timer=setInterval(()=>this.anim_step_forward(),this.model.interval))}reverse_animation(){this.pause_animation(),this._toggle_reverse(),this.model.direction=-1,this.timer||(this.timer=setInterval(()=>this.anim_step_reverse(),this.model.interval))}}s.PlayerView=r,r.__name__=\"PlayerView\";class d extends l.Widget{constructor(e){super(e)}static init_Player(){this.prototype.default_view=r,this.define({direction:[i.Number,0],interval:[i.Number,500],start:[i.Number],end:[i.Number],step:[i.Number,1],loop_policy:[i.Any,\"once\"],value:[i.Any,0],show_loop_controls:[i.Boolean,!0]}),this.override({width:400})}}s.Player=d,d.__name__=\"Player\",d.__module__=\"panel.models.widgets\",d.init_Player()},\n",
+       "      \"56da045fbd\": function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),l=t(\"@bokehjs/core/util/object\"),r=t(\"@bokehjs/core/util/eq\"),s=t(\"@bokehjs/models/layouts/html_box\"),n=t(\"99a25e6992\"),a=t(\"990b5dd5c7\"),p=t(\"7116a7a602\"),h=(t,e,o)=>{let i=Array.isArray(e)?[]:{};if(\"click\"===o||\"hover\"===o||\"selected\"===o){const o=[];if(null==e)return null;const l=t.data;for(let t=0;t<e.points.length;t++){const i=e.points[t];let r={};for(let t in i){const e=i[t];!i.hasOwnProperty(t)||Array.isArray(e)||a.isPlainObject(e)||(r[t]=e)}null!=i&&(i.hasOwnProperty(\"curveNumber\")&&i.hasOwnProperty(\"pointNumber\")&&l[i.curveNumber].hasOwnProperty(\"customdata\")&&(r.customdata=l[i.curveNumber].customdata[i.pointNumber]),i.hasOwnProperty(\"pointNumbers\")&&(r.pointNumbers=i.pointNumbers)),o[t]=r}i.points=o}else if(\"relayout\"===o||\"restyle\"===o)for(let t in e)e.hasOwnProperty(t)&&(i[t]=e[t]);return e.hasOwnProperty(\"range\")&&(i.range=e.range),e.hasOwnProperty(\"lassoPoints\")&&(i.lassoPoints=e.lassoPoints),i};class _ extends p.PanelHTMLBoxView{constructor(){super(...arguments),this._settingViewport=!1,this._plotInitialized=!1,this._reacting=!1,this._relayouting=!1,this._end_relayouting=n.debounce(()=>{this._relayouting=!1},2e3,!1)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.viewport_update_policy.change,this._updateSetViewportFunction),this.connect(this.model.properties.viewport_update_throttle.change,this._updateSetViewportFunction),this.connect(this.model.properties._render_count.change,this.plot),this.connect(this.model.properties.viewport.change,this._updateViewportFromProperty)}render(){super.render(),window.Plotly&&this.plot()}plot(){if(!window.Plotly)return;const t=[];for(let e=0;e<this.model.data.length;e++)t.push(this._get_trace(e,!1));let e=a.deepCopy(this.model.layout);if(this._relayouting){const t=this.el.layout;Object.keys(t).reduce((t,o)=>{\"axis\"===o.slice(1,5)&&\"range\"in t&&(e[o].range=t.range)},{})}this._reacting=!0,window.Plotly.react(this.el,t,e,this.model.config).then(()=>{this._updateSetViewportFunction(),this._updateViewportProperty(),this._plotInitialized||(this.el.on(\"plotly_relayout\",t=>{!0!==t._update_from_property&&(this.model.relayout_data=h(this.el,t,\"relayout\"),this._updateViewportProperty(),this._end_relayouting())}),this.el.on(\"plotly_relayouting\",()=>{\"mouseup\"!==this.model.viewport_update_policy&&(this._relayouting=!0,this._updateViewportProperty())}),this.el.on(\"plotly_restyle\",t=>{this.model.restyle_data=h(this.el,t,\"restyle\"),this._updateViewportProperty()}),this.el.on(\"plotly_click\",t=>{this.model.click_data=h(this.el,t,\"click\")}),this.el.on(\"plotly_hover\",t=>{this.model.hover_data=h(this.el,t,\"hover\")}),this.el.on(\"plotly_selected\",t=>{this.model.selected_data=h(this.el,t,\"selected\")}),this.el.on(\"plotly_clickannotation\",t=>{delete t.event,delete t.fullAnnotation,this.model.clickannotation_data=t}),this.el.on(\"plotly_deselect\",()=>{this.model.selected_data=null}),this.el.on(\"plotly_unhover\",()=>{this.model.hover_data=null})),this._plotInitialized=!0,this._reacting=!1})}_get_trace(t,e){const o=l.clone(this.model.data[t]),i=this.model.data_sources[t];for(const t of i.columns()){let l=i.get_array(t)[0];if(null!=l.shape&&l.shape.length>1){const t=[],e=l.shape;for(let o=0;o<e[0];o++)t.push(l.slice(o*e[1],(o+1)*e[1]));l=t}let r=t.split(\".\"),s=r[r.length-1],n=o;for(let t of r.slice(0,-1))n=n[t];e&&1==r.length?n[s]=[l]:n[s]=l}return o}_updateViewportFromProperty(){if(!window.Plotly||this._settingViewport||this._reacting||!this.model.viewport)return;const t=this.el._fullLayout;Object.keys(this.model.viewport).reduce((e,o)=>{if(r.isEqual(a.get(t,o),e))return!0;{let t=a.deepCopy(this.model.viewport);return t._update_from_property=!0,window.Plotly.relayout(this.el,t),!1}},{})}_updateViewportProperty(){const t=this.el._fullLayout;let e={};for(let o in t){if(!t.hasOwnProperty(o))continue;let i=o.slice(0,5);\"xaxis\"!==i&&\"yaxis\"!==i||(e[o+\".range\"]=a.deepCopy(t[o].range))}r.isEqual(e,this.model.viewport)||this._setViewport(e)}_updateSetViewportFunction(){\"continuous\"===this.model.viewport_update_policy||\"mouseup\"===this.model.viewport_update_policy?this._setViewport=t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}:this._setViewport=a.throttle(t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)},this.model.viewport_update_throttle)}}o.PlotlyPlotView=_,_.__name__=\"PlotlyPlotView\";class d extends s.HTMLBox{constructor(t){super(t)}static init_PlotlyPlot(){this.prototype.default_view=_,this.define({data:[i.Array,[]],layout:[i.Any,{}],config:[i.Any,{}],data_sources:[i.Array,[]],relayout_data:[i.Any,{}],restyle_data:[i.Array,[]],click_data:[i.Any,{}],hover_data:[i.Any,{}],clickannotation_data:[i.Any,{}],selected_data:[i.Any,{}],viewport:[i.Any,{}],viewport_update_policy:[i.String,\"mouseup\"],viewport_update_throttle:[i.Number,200],_render_count:[i.Number,0]})}}o.PlotlyPlot=d,d.__name__=\"PlotlyPlot\",d.__module__=\"panel.models.plotly\",d.init_PlotlyPlot()},\n",
+       "      \"99a25e6992\": function _(n,l,u){function t(n,l,u){var t,e,o,a,r;function i(){var c=Date.now()-a;c<l&&c>=0?t=setTimeout(i,l-c):(t=null,u||(r=n.apply(o,e),o=e=null))}null==l&&(l=100);var c=function(){o=this,e=arguments,a=Date.now();var c=u&&!t;return t||(t=setTimeout(i,l)),c&&(r=n.apply(o,e),o=e=null),r};return c.clear=function(){t&&(clearTimeout(t),t=null)},c.flush=function(){t&&(r=n.apply(o,e),o=e=null,clearTimeout(t),t=null)},c}t.debounce=t,l.exports=t},\n",
+       "      \"990b5dd5c7\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.get=(t,e,n)=>{const r=n=>String.prototype.split.call(e,n).filter(Boolean).reduce((t,e)=>null!=t?t[e]:t,t),o=r(/[,[\\]]+?/)||r(/[,[\\].]+?/);return void 0===o||o===t?n:o},n.throttle=function(t,e){var n=0;return function(){var r=Number(new Date);r-n>=e&&(t(),n=r)}},n.deepCopy=function t(e){var n;if(null==e||\"object\"!=typeof e)return e;if(e instanceof Array){n=[];for(var r=0,o=e.length;r<o;r++)n[r]=t(e[r]);return n}if(e instanceof Object){const n={};for(const r in e){const o=r;e.hasOwnProperty(o)&&(n[o]=t(e[o]))}return n}throw new Error(\"Unable to copy obj! Its type isn't supported.\")},n.isPlainObject=function(t){return\"[object Object]\"===Object.prototype.toString.call(t)}},\n",
+       "      \"76307e5afa\": function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),r=e(\"7116a7a602\");class l extends o.HTMLBoxView{connect_signals(){super.connect_signals();const e=()=>{this.render(),this.root.compute_layout()};this.connect(this.model.properties.height.change,e),this.connect(this.model.properties.width.change,e),this.connect(this.model.properties.height_policy.change,e),this.connect(this.model.properties.width_policy.change,e),this.connect(this.model.properties.sizing_mode.change,e),this.connect(this.model.properties.active.change,()=>this.setCSS()),this.connect(this.model.properties.bar_color.change,()=>this.setCSS()),this.connect(this.model.properties.css_classes.change,()=>this.setCSS()),this.connect(this.model.properties.value.change,()=>this.setValue()),this.connect(this.model.properties.max.change,()=>this.setMax())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.progressEl=document.createElement(\"progress\"),this.setValue(),this.setMax(),r.set_size(this.progressEl,this.model),this.setCSS();for(const s in e)this.progressEl.style.setProperty(s,e[s]);this.el.appendChild(this.progressEl)}setCSS(){let e=this.model.css_classes.join(\" \")+\" \"+this.model.bar_color;this.model.active&&(e+=\" active\"),this.progressEl.className=e}setValue(){null!=this.model.value&&(this.progressEl.value=this.model.value)}setMax(){null!=this.model.max&&(this.progressEl.max=this.model.max)}_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new r.CachedVariadicBox(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}}t.ProgressView=l,l.__name__=\"ProgressView\";class h extends o.HTMLBox{constructor(e){super(e)}static init_Progress(){this.prototype.default_view=l,this.define({active:[i.Boolean,!0],bar_color:[i.String,\"primary\"],style:[i.Any,{}],max:[i.Number,100],value:[i.Number,null]})}}t.Progress=h,h.__name__=\"Progress\",h.__module__=\"panel.models.widgets\",h.init_Progress()},\n",
+       "      \"38b2bc9574\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),a=e(\"@bokehjs/core/view\"),o=e(\"@bokehjs/core/util/array\"),c=e(\"@bokehjs/model\"),n=e(\"@bokehjs/protocol/receiver\");class r extends a.View{renderTo(){}}s.StateView=r,r.__name__=\"StateView\";class _ extends c.Model{constructor(e){super(e),this._receiver=new n.Receiver,this._cache={}}apply_state(e){this._receiver.consume(e.header),this._receiver.consume(e.metadata),this._receiver.consume(e.content),this._receiver.message&&this.document&&this.document.apply_json_patch(this._receiver.message.content)}_receive_json(e,t){const s=JSON.parse(e);this._cache[t]=s;let i=this.state;for(const e of this.values)i=i[e];i===t?this.apply_state(s):this._cache[i]&&this.apply_state(this._cache[i])}set_state(e,t){let s=o.copy(this.values);s[this.widgets[e.id]]=t;let i=this.state;for(const e of s)i=i[e];var a,c,n;this.values=s,this.json?this._cache[i]?this.apply_state(this._cache[i]):(a=i,c=e=>this._receive_json(e,i),(n=new XMLHttpRequest).overrideMimeType(\"application/json\"),n.open(\"GET\",a,!0),n.onreadystatechange=function(){4==n.readyState&&200==n.status&&c(n.responseText)},n.send(null)):this.apply_state(i)}static init_State(){this.prototype.default_view=r,this.define({json:[i.Boolean,!1],state:[i.Any,{}],widgets:[i.Any,{}],values:[i.Any,[]]})}}s.State=_,_.__name__=\"State\",_.__module__=\"panel.models.state\",_.init_State()},\n",
+       "      \"294adeb985\": function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),a=t(\"@bokehjs/core/util/types\"),n=t(\"@bokehjs/models/layouts/html_box\");class c extends n.HTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,this._plot),this.connect(this.model.properties.data_sources.change,()=>this._connect_sources()),this._connected=[],this._connect_sources()}_connect_sources(){for(const t in this.model.data_sources){const e=this.model.data_sources[t];this._connected.indexOf(t)<0&&(this.connect(e.properties.data.change,this._plot),this._connected.push(t))}}_fetch_datasets(){const t={};for(const e in this.model.data_sources){const s=this.model.data_sources[e],o=[],a=s.columns();for(let t=0;t<s.get_length();t++){const e={};for(const o of a)e[o]=s.data[o][t];o.push(e)}t[e]=o}return t}render(){super.render(),this._plot()}_plot(){const t=this.model.data;if(null!=t&&window.vegaEmbed){if(this.model.data_sources&&Object.keys(this.model.data_sources).length>0){const e=this._fetch_datasets();if(\"data\"in e&&(t.data.values=e.data,delete e.data),null!=t.data){const s=a.isArray(t.data)?t.data:[t.data];for(const t of s)t.name in e&&(t.values=e[t.name],delete e[t.name])}this.model.data.datasets=e}window.vegaEmbed(this.el,this.model.data,{actions:!1})}}}s.VegaPlotView=c,c.__name__=\"VegaPlotView\";class i extends n.HTMLBox{constructor(t){super(t)}static init_VegaPlot(){this.prototype.default_view=c,this.define({data:[o.Any],data_sources:[o.Any]})}}s.VegaPlot=i,i.__name__=\"VegaPlot\",i.__module__=\"panel.models.vega\",i.init_VegaPlot()},\n",
+       "      \"b0c3e9e9c2\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.videoEl.controls=!0,this.videoEl.src=this.model.value,this.videoEl.currentTime=this.model.time,this.videoEl.loop=this.model.loop,null!=this.model.volume?this.videoEl.volume=this.model.volume/100:this.model.volume=100*this.videoEl.volume,this.videoEl.onpause=()=>this.model.paused=!0,this.videoEl.onplay=()=>this.model.paused=!1,this.videoEl.ontimeupdate=()=>this.update_time(this),this.videoEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.videoEl),this.model.paused||this.videoEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.videoEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.videoEl.volume)}set_loop(){this.videoEl.loop=this.model.loop}set_paused(){!this.videoEl.paused&&this.model.paused&&this.videoEl.pause(),this.videoEl.paused&&!this.model.paused&&this.videoEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.videoEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.videoEl.currentTime=this.model.time)}set_value(){this.videoEl.src=this.model.value}}t.VideoView=d,d.__name__=\"VideoView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_Video(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}t.Video=h,h.__name__=\"Video\",h.__module__=\"panel.models.widgets\",h.init_Video()},\n",
+       "      \"3c7145a2fa\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"7116a7a602\");class a extends h.PanelHTMLBoxView{constructor(){super(...arguments),this.constraints={audio:!1,video:!0}}initialize(){super.initialize(),null!==this.model.timeout&&this.set_timeout()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.timeout.change,()=>this.set_timeout()),this.connect(this.model.properties.snapshot.change,()=>this.snapshot()),this.connect(this.model.properties.paused.change,()=>this.pause())}pause(){this.model.paused&&(null!=this.timer&&(clearInterval(this.timer),this.timer=null),this.videoEl.pause()),this.set_timeout()}set_timeout(){this.timer&&(clearInterval(this.timer),this.timer=null),this.model.timeout>0&&(this.timer=setInterval(()=>this.snapshot(),this.model.timeout))}snapshot(){this.canvasEl.width=this.videoEl.videoWidth,this.canvasEl.height=this.videoEl.videoHeight;const e=this.canvasEl.getContext(\"2d\");e&&e.drawImage(this.videoEl,0,0,this.canvasEl.width,this.canvasEl.height),this.model.value=this.canvasEl.toDataURL(\"image/\"+this.model.format,.95)}remove(){super.remove(),this.timer&&(clearInterval(this.timer),this.timer=null)}render(){super.render(),this.videoEl||(this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.canvasEl=document.createElement(\"canvas\"),this.el.appendChild(this.videoEl),navigator.mediaDevices.getUserMedia&&navigator.mediaDevices.getUserMedia(this.constraints).then(e=>{this.videoEl.srcObject=e,this.model.paused||this.videoEl.play()}).catch(console.error))}}i.VideoStreamView=a,a.__name__=\"VideoStreamView\";class l extends o.HTMLBox{constructor(e){super(e)}static init_VideoStream(){this.prototype.default_view=a,this.define({format:[s.String,\"png\"],paused:[s.Boolean,!1],snapshot:[s.Boolean,!1],timeout:[s.Number,0],value:[s.Any]}),this.override({height:240,width:320})}}i.VideoStream=l,l.__name__=\"VideoStream\",l.__module__=\"panel.models.widgets\",l.init_VideoStream()},\n",
+       "      \"ecfbb965eb\": function _(e,o,l){Object.defineProperty(l,\"__esModule\",{value:!0});var V=e(\"5b5e56e89a\");l.VTKPlot=V.VTKPlot;var t=e(\"729dd26c71\");l.VTKVolumePlot=t.VTKVolumePlot;var K=e(\"e23461e5d7\");l.VTKAxes=K.VTKAxes},\n",
+       "      \"5b5e56e89a\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/core/dom\"),a=e(\"c704c63c0a\"),o=e(\"aaf560d219\");class r extends a.AbstractVTKView{constructor(){super(...arguments),this._axes_initialized=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.axes.change,()=>{this._delete_axes(),this.model.axes&&this._set_axes(),this._vtk_renwin.getRenderWindow().render()}),this.el.addEventListener(\"mouseenter\",()=>{const e=this._vtk_renwin.getInteractor();this.model.enable_keybindings&&(document.querySelector(\"body\").addEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").addEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").addEventListener(\"keyup\",e.handleKeyUp))}),this.el.addEventListener(\"mouseleave\",()=>{const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)})}render(){super.render(),this._axes=null,this._axes_initialized=!1,this._plot()}after_layout(){this._axes_initialized||(this._render_axes_canvas(),this._axes_initialized=!0)}_render_axes_canvas(){const e=this._vtk_container.getElementsByTagName(\"canvas\");if(1!=e.length)throw Error(\"Error at initialization of the 3D scene, container should have one and only one canvas\");e[0].classList.add(\"scene3d-canvas\");const t=i.canvas({style:{position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"}});t.classList.add(\"axes-canvas\"),this._vtk_container.appendChild(t),this._vtk_renwin.setResizeCallback(()=>{const e=this._vtk_container.getBoundingClientRect(),n=Math.floor(e.width*window.devicePixelRatio),s=Math.floor(e.height*window.devicePixelRatio);t.setAttribute(\"width\",n.toFixed()),t.setAttribute(\"height\",s.toFixed())})}_delete_axes(){if(null==this._axes)return;Object.keys(this._axes).forEach(e=>this._vtk_renwin.getRenderer().removeActor(this._axes[e]));const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],t=e.getContext(\"2d\");t&&t.clearRect(0,0,e.clientWidth*window.devicePixelRatio,e.clientHeight*window.devicePixelRatio),this._axes=null}_set_axes(){if(this.model.axes){const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],{psActor:t,axesActor:n,gridActor:s}=this.model.axes.create_axes(e);this._axes={psActor:t,axesActor:n,gridActor:s},this._vtk_renwin.getRenderer().addActor(t),this._vtk_renwin.getRenderer().addActor(n),this._vtk_renwin.getRenderer().addActor(s)}}_plot(){if(!this.model.data)return void this._vtk_renwin.getRenderWindow().render();const e=o.vtkns.DataAccessHelper.get(\"zip\",{zipContent:atob(this.model.data),callback:t=>{const n=o.vtkns.HttpSceneLoader.newInstance({renderer:this._vtk_renwin.getRenderer(),dataAccessHelper:e}),s=o.vtk.macro.debounce(()=>{null==this._axes&&this.model.axes&&this._set_axes(),this.model.properties.camera.change.emit()},100);n.setUrl(\"index.json\"),n.onReady(s)}})}}n.VTKPlotView=r,r.__name__=\"VTKPlotView\";class d extends a.AbstractVTKPlot{constructor(e){super(e),this.outline=o.vtkns.OutlineFilter.newInstance();const t=o.vtkns.Mapper.newInstance();t.setInputConnection(this.outline.getOutputPort()),this.outline_actor=o.vtkns.Actor.newInstance(),this.outline_actor.setMapper(t)}static init_VTKPlot(){this.prototype.default_view=r,this.define({data:[s.String],axes:[s.Instance],enable_keybindings:[s.Boolean,!1]})}}n.VTKPlot=d,d.__name__=\"VTKPlot\",d.init_VTKPlot()},\n",
+       "      \"c704c63c0a\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"@bokehjs/core/dom\"),s=e(\"@bokehjs/core/util/object\"),a=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"7116a7a602\"),_=e(\"aaf560d219\");class d extends o.PanelHTMLBoxView{constructor(){super(...arguments),this._setting_camera=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>{this.invalidate_render()}),this.connect(this.model.properties.orientation_widget.change,()=>{this._orientation_widget_visibility(this.model.orientation_widget)}),this.connect(this.model.properties.camera.change,()=>this._set_camera_state())}_orientation_widget_visibility(e){this._orientationWidget.setEnabled(e),e?this._widgetManager.enablePicking():this._widgetManager.disablePicking(),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderWindow().render()}_create_orientation_widget(){const e=_.vtkns.AxesActor.newInstance(),t=_.vtkns.OrientationMarkerWidget.newInstance({actor:e,interactor:this._vtk_renwin.getInteractor()});t.setEnabled(!0),t.setViewportCorner(_.vtkns.OrientationMarkerWidget.Corners.BOTTOM_RIGHT),t.setViewportSize(.15),t.setMinPixelSize(100),t.setMaxPixelSize(300),this._orientationWidget=t;const i=_.vtkns.WidgetManager.newInstance();i.setRenderer(t.getRenderer());const n=_.vtkns.InteractiveOrientationWidget.newInstance();n.placeWidget(e.getBounds()),n.setBounds(e.getBounds()),n.setPlaceFactor(1);const r=i.addWidget(n);this._widgetManager=i,r.onOrientationChange(({direction:e})=>{const t=this._vtk_renwin.getRenderer().getActiveCamera(),i=t.getFocalPoint(),n=t.getPosition(),r=t.getViewUp(),s=Math.sqrt(Math.pow(n[0]-i[0],2)+Math.pow(n[1]-i[1],2)+Math.pow(n[2]-i[2],2));t.setPosition(i[0]+e[0]*s,i[1]+e[1]*s,i[2]+e[2]*s),e[0]&&t.setViewUp(_.majorAxis(r,1,2)),e[1]&&t.setViewUp(_.majorAxis(r,0,2)),e[2]&&t.setViewUp(_.majorAxis(r,0,1)),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}),this._orientation_widget_visibility(this.model.orientation_widget)}_get_camera_state(){if(!this._setting_camera){this._setting_camera=!0;const e=s.clone(this._vtk_renwin.getRenderer().getActiveCamera().get());delete e.classHierarchy,delete e.vtkObject,delete e.vtkCamera,delete e.viewPlaneNormal,this.model.camera=e,this._setting_camera=!1}}_set_camera_state(){if(!this._setting_camera){this._setting_camera=!0;try{this.model.camera&&this._vtk_renwin.getRenderer().getActiveCamera().set(this.model.camera)}finally{this._setting_camera=!1}this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}}render(){super.render(),this._orientationWidget=null,this._vtk_container=r.div(),o.set_size(this._vtk_container,this.model),this.el.appendChild(this._vtk_container),this._vtk_renwin=_.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container}),this._remove_default_key_binding(),this._create_orientation_widget(),this._vtk_renwin.getRenderer().getActiveCamera().onModified(()=>this._get_camera_state()),this._set_camera_state(),this.model.renderer_el=this._vtk_renwin}after_layout(){super.after_layout(),this._vtk_renwin.resize()}_remove_default_key_binding(){const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}}i.AbstractVTKView=d,d.__name__=\"AbstractVTKView\";class c extends a.HTMLBox{constructor(e){super(e)}getActors(){return this.renderer_el.getRenderer().getActors()}static init_AbstractVTKPlot(){this.define({orientation_widget:[n.Boolean,!1],camera:[n.Instance]}),this.override({height:300,width:300})}}i.AbstractVTKPlot=c,c.__name__=\"AbstractVTKPlot\",c.__module__=\"panel.models.vtk\",c.init_AbstractVTKPlot()},\n",
+       "      \"aaf560d219\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"@bokehjs/core/util/array\");function a(t){const e=Math.min(Math.max(Math.round(t),0),255).toString(16);return 2==e.length?e:\"0\"+e}function o(t,e,n){return\"#\"+a(t)+a(e)+a(n)}function i(t){for(var e=new ArrayBuffer(t.length),n=new Uint8Array(e),r=0,a=t.length;r<a;r++)n[r]=t.charCodeAt(r);return e}n.ARRAY_TYPES={uint8:Uint8Array,int8:Int8Array,uint16:Uint16Array,int16:Int16Array,uint32:Uint32Array,int32:Int32Array,float32:Float32Array,float64:Float64Array},n.vtk=window.vtk,n.vtkns={},n.vtk&&(n.vtkns.DataArray=n.vtk.Common.Core.vtkDataArray,n.vtkns.ImageData=n.vtk.Common.DataModel.vtkImageData,n.vtkns.OutlineFilter=n.vtk.Filters.General.vtkOutlineFilter,n.vtkns.CubeSource=n.vtk.Filters.Sources.vtkCubeSource,n.vtkns.LineSource=n.vtk.Filters.Sources.vtkLineSource,n.vtkns.PlaneSource=n.vtk.Filters.Sources.vtkPlaneSource,n.vtkns.PointSource=n.vtk.Filters.Sources.vtkPointSource,n.vtkns.OrientationMarkerWidget=n.vtk.Interaction.Widgets.vtkOrientationMarkerWidget,n.vtkns.DataAccessHelper=n.vtk.IO.Core.DataAccessHelper,n.vtkns.HttpSceneLoader=n.vtk.IO.Core.vtkHttpSceneLoader,n.vtkns.ImageSlice=n.vtk.Rendering.Core.vtkImageSlice,n.vtkns.Actor=n.vtk.Rendering.Core.vtkActor,n.vtkns.AxesActor=n.vtk.Rendering.Core.vtkAxesActor,n.vtkns.Mapper=n.vtk.Rendering.Core.vtkMapper,n.vtkns.ImageMapper=n.vtk.Rendering.Core.vtkImageMapper,n.vtkns.SphereMapper=n.vtk.Rendering.Core.vtkSphereMapper,n.vtkns.WidgetManager=n.vtk.Widgets.Core.vtkWidgetManager,n.vtkns.InteractiveOrientationWidget=n.vtk.Widgets.Widgets3D.vtkInteractiveOrientationWidget,n.vtkns.PixelSpaceCallbackMapper=n.vtk.Rendering.Core.vtkPixelSpaceCallbackMapper,n.vtkns.FullScreenRenderWindow=n.vtk.Rendering.Misc.vtkFullScreenRenderWindow,n.vtkns.VolumeController=n.vtk.Interaction.UI.vtkVolumeController,n.vtkns.Volume=n.vtk.Rendering.Core.vtkVolume,n.vtkns.VolumeMapper=n.vtk.Rendering.Core.vtkVolumeMapper,n.vtkns.ColorTransferFunction=n.vtk.Rendering.Core.vtkColorTransferFunction,n.vtkns.PiecewiseFunction=n.vtk.Common.DataModel.vtkPiecewiseFunction,n.vtkns.BoundingBox=n.vtk.Common.DataModel.vtkBoundingBox),n.hexToRGB=function(t){return[parseInt(t.slice(1,3),16)/255,parseInt(t.slice(3,5),16)/255,parseInt(t.slice(5,7),16)/255]},n.rgbToHex=o,n.vtkLutToMapper=function(t){const{scale:e,nodes:a}=t.get(\"scale\",\"nodes\");if(e!==n.vtkns.ColorTransferFunction.Scale.LINEAR)throw\"Error transfer function scale not handle\";const i=a.map(t=>t.x),s=Math.min(...i),k=Math.max(...i),v=r.linspace(s,k,255),c=[0,0,0];return{low:s,high:k,palette:v.map(e=>(t.getColor(e,c),o(255*c[0],255*c[1],255*c[2])))}},n.data2VTKImageData=function(t){const e=n.vtkns.ImageData.newInstance({spacing:t.spacing});e.setDimensions(t.dims),e.setOrigin(null!=t.origin?t.origin:t.dims.map(t=>t/2));const r=n.vtkns.DataArray.newInstance({name:\"scalars\",numberOfComponents:1,values:new n.ARRAY_TYPES[t.dtype](i(atob(t.buffer)))});return e.getPointData().setScalars(r),e},n.majorAxis=function(t,e,n){const r=[0,0,0],a=Math.abs(t[e])>Math.abs(t[n])?e:n,o=t[a]>0?1:-1;return r[a]=o,r},n.cartesian_product=function(...t){return t.reduce((t,e)=>t.flatMap(t=>e.map(e=>[].concat(t,e))))}},\n",
+       "      \"729dd26c71\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"c704c63c0a\"),n=e(\"aaf560d219\");class o extends r.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.colormap.change,()=>{this.colormap_slector.value=this.model.colormap;const e=new Event(\"change\");this.colormap_slector.dispatchEvent(e)}),this.connect(this.model.properties.shadow.change,()=>{this.shadow_selector.value=this.model.shadow?\"1\":\"0\";const e=new Event(\"change\");this.shadow_selector.dispatchEvent(e)}),this.connect(this.model.properties.sampling.change,()=>{this.sampling_slider.value=this.model.sampling.toFixed(2);const e=new Event(\"input\");this.sampling_slider.dispatchEvent(e)}),this.connect(this.model.properties.edge_gradient.change,()=>{this.edge_gradient_slider.value=this.model.edge_gradient.toFixed(2);const e=new Event(\"input\");this.edge_gradient_slider.dispatchEvent(e)}),this.connect(this.model.properties.rescale.change,()=>{this._controllerWidget.setRescaleColorMap(this.model.rescale),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.ambient.change,()=>{this.volume.getProperty().setAmbient(this.model.ambient),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.diffuse.change,()=>{this.volume.getProperty().setDiffuse(this.model.diffuse),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular.change,()=>{this.volume.getProperty().setSpecular(this.model.specular),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular_power.change,()=>{this.volume.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_volume.change,()=>{this._set_volume_visibility(this.model.display_volume),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_slices.change,()=>{this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_i.change,()=>{this.image_actor_i.getMapper().setISlice(this.model.slice_i),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_j.change,()=>{this.image_actor_j.getMapper().setJSlice(this.model.slice_j),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_k.change,()=>{this.image_actor_k.getMapper().setKSlice(this.model.slice_k),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.render_background.change,()=>{this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.interpolation.change,()=>{this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderWindow().render()})}get volume(){return this._controllerWidget.getActor()}get image_actor_i(){return this._vtk_renwin.getRenderer().getActors()[0]}get image_actor_j(){return this._vtk_renwin.getRenderer().getActors()[1]}get image_actor_k(){return this._vtk_renwin.getRenderer().getActors()[2]}get shadow_selector(){return this.el.querySelector(\".js-shadow\")}get edge_gradient_slider(){return this.el.querySelector(\".js-edge\")}get sampling_slider(){return this.el.querySelector(\".js-spacing\")}get colormap_slector(){return this.el.querySelector(\".js-color-preset\")}_set_interpolation(e){\"fast_linear\"==e?(this.volume.getProperty().setInterpolationTypeToFastLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):\"linear\"==e?(this.volume.getProperty().setInterpolationTypeToLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):(this.volume.getProperty().setInterpolationTypeToNearest(),this.image_actor_i.getProperty().setInterpolationTypeToNearest())}render(){super.render(),this._controllerWidget=n.vtkns.VolumeController.newInstance({size:[400,150],rescaleColorMap:this.model.rescale}),this._vtk_image_data=n.data2VTKImageData(this.model.data),this._controllerWidget.setContainer(this.el),this._vtk_renwin.getRenderWindow().getInteractor(),this._vtk_renwin.getRenderWindow().getInteractor().setDesiredUpdateRate(45),this._plot_volume(),this._connect_controls(),this._plot_slices(),this._set_volume_visibility(this.model.display_volume),this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderer().resetCamera()}_connect_controls(){this.colormap_slector.addEventListener(\"change\",()=>{this.model.colormap=this.colormap_slector.value}),this.model.colormap?this.model.properties.colormap.change.emit():this.model.colormap=this.colormap_slector.value,this.shadow_selector.addEventListener(\"change\",()=>{this.model.shadow=!!Number(this.shadow_selector.value)}),(this.model.shadow=!!Number(this.shadow_selector.value))&&this.model.properties.shadow.change.emit(),this.sampling_slider.addEventListener(\"input\",()=>{const e=Number(this.sampling_slider.value);Math.abs(this.model.sampling-e)>=.005&&(this.model.sampling=e)}),Math.abs(this.model.sampling-Number(this.shadow_selector.value))>=.005&&this.model.properties.sampling.change.emit(),this.edge_gradient_slider.addEventListener(\"input\",()=>{const e=Number(this.edge_gradient_slider.value);Math.abs(this.model.edge_gradient-e)>=.005&&(this.model.edge_gradient=e)}),Math.abs(this.model.edge_gradient-Number(this.edge_gradient_slider.value))>=.005&&this.model.properties.edge_gradient.change.emit()}_plot_volume(){const e=this._vtk_image_data,t=n.vtkns.Volume.newInstance(),i=n.vtkns.VolumeMapper.newInstance();t.setMapper(i),i.setInputData(e);const s=(e.getPointData().getScalars()||e.getPointData().getArrays()[0]).getRange(),r=n.vtkns.ColorTransferFunction.newInstance();r.onModified(()=>this.model.mapper=n.vtkLutToMapper(r));const o=n.vtkns.PiecewiseFunction.newInstance(),a=.7*Math.sqrt(e.getSpacing().map(e=>e*e).reduce((e,t)=>e+t,0));i.setSampleDistance(a),t.getProperty().setRGBTransferFunction(0,r),t.getProperty().setScalarOpacity(0,o),t.getProperty().setInterpolationTypeToFastLinear(),t.getProperty().setScalarOpacityUnitDistance(0,n.vtkns.BoundingBox.getDiagonalLength(e.getBounds())/Math.max(...e.getDimensions())),t.getProperty().setGradientOpacityMinimumValue(0,0),t.getProperty().setGradientOpacityMaximumValue(0,.05*(s[1]-s[0])),t.getProperty().setShade(this.model.shadow),t.getProperty().setUseGradientOpacity(0,!0),t.getProperty().setGradientOpacityMinimumOpacity(0,0),t.getProperty().setGradientOpacityMaximumOpacity(0,1),t.getProperty().setAmbient(this.model.ambient),t.getProperty().setDiffuse(this.model.diffuse),t.getProperty().setSpecular(this.model.specular),t.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderer().addVolume(t),this._controllerWidget.setupContent(this._vtk_renwin.getRenderWindow(),t,!0)}_plot_slices(){const e=this._vtk_image_data,t=n.vtkns.ImageSlice.newInstance(),i=n.vtkns.ImageSlice.newInstance(),s=n.vtkns.ImageSlice.newInstance(),r=n.vtkns.ImageMapper.newInstance(),o=n.vtkns.ImageMapper.newInstance(),a=n.vtkns.ImageMapper.newInstance();r.setInputData(e),r.setISlice(this.model.slice_i),t.setMapper(r),o.setInputData(e),o.setJSlice(this.model.slice_j),i.setMapper(o),a.setInputData(e),a.setKSlice(this.model.slice_k),s.setMapper(a);const l=n.vtkns.PiecewiseFunction.newInstance();l.removeAllPoints(),l.addPoint(0,1);const c=this.volume.getProperty().getRGBTransferFunction(0),d=t.getProperty();i.setProperty(d),s.setProperty(d),d.setRGBTransferFunction(c),d.setScalarOpacity(l);const h=this._vtk_renwin.getRenderer();h.addActor(t),h.addActor(i),h.addActor(s)}_set_volume_visibility(e){this.volume.setVisibility(e)}_set_slices_visibility(e){this._vtk_renwin.getRenderer().getActors().map(t=>t.setVisibility(e))}}i.VTKVolumePlotView=o,o.__name__=\"VTKVolumePlotView\";class a extends r.AbstractVTKPlot{constructor(e){super(e)}static init_VTKVolumePlot(){this.prototype.default_view=o,this.define({data:[s.Instance],shadow:[s.Boolean,!0],sampling:[s.Number,.4],edge_gradient:[s.Number,.2],colormap:[s.String],rescale:[s.Boolean,!1],ambient:[s.Number,.2],diffuse:[s.Number,.7],specular:[s.Number,.3],specular_power:[s.Number,8],slice_i:[s.Int,0],slice_j:[s.Int,0],slice_k:[s.Int,0],display_volume:[s.Boolean,!0],display_slices:[s.Boolean,!1],render_background:[s.String,\"#52576e\"],interpolation:[s.Any,\"fast_linear\"],mapper:[s.Instance]})}}i.VTKVolumePlot=a,a.__name__=\"VTKVolumePlot\",a.init_VTKVolumePlot()},\n",
+       "      \"e23461e5d7\": function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(\"tslib\"),n=t(\"2f3fd5db07\"),a=t(\"@bokehjs/model\"),c=e.__importStar(t(\"@bokehjs/core/properties\")),r=t(\"aaf560d219\");class h extends a.Model{constructor(t){super(t)}static init_VTKAxes(){this.define({origin:[c.Array],xticker:[c.Instance],yticker:[c.Instance],zticker:[c.Instance],digits:[c.Number,1],show_grid:[c.Boolean,!0],grid_opacity:[c.Number,.1],axes_opacity:[c.Number,1],fontsize:[c.Number,12]})}get xticks(){return this.xticker.ticks}get yticks(){return this.yticker.ticks}get zticks(){return this.zticker.ticks}get xlabels(){return this.xticker.labels?this.xticker.labels:this.xticks.map(t=>t.toFixed(this.digits))}get ylabels(){return this.yticker.labels?this.yticker.labels:this.yticks.map(t=>t.toFixed(this.digits))}get zlabels(){return this.zticker.labels?this.zticker.labels:this.zticks.map(t=>t.toFixed(this.digits))}_make_grid_lines(t,s,i){const e=[];for(let n=0;n<t-1;n++)for(let t=0;t<s-1;t++){const a=n*s+t+i,c=[5,a,n*s+t+1+i,(n+1)*s+t+1+i,(n+1)*s+t+i,a];e.push(c)}return e}_create_grid_axes(){const t=[];t.push(r.cartesian_product(this.xticks,this.yticks,[this.origin[2]])),t.push(r.cartesian_product([this.origin[0]],this.yticks,this.zticks)),t.push(r.cartesian_product(this.xticks,[this.origin[1]],this.zticks));const s=[];let i=0;s.push(this._make_grid_lines(this.xticks.length,this.yticks.length,i)),i+=this.xticks.length*this.yticks.length,s.push(this._make_grid_lines(this.yticks.length,this.zticks.length,i)),i+=this.yticks.length*this.zticks.length,s.push(this._make_grid_lines(this.xticks.length,this.zticks.length,i));const e=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:t.flat(2)},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:s.flat(2)}}),n=r.vtkns.Mapper.newInstance(),a=r.vtkns.Actor.newInstance();return n.setInputData(e),a.setMapper(n),a.getProperty().setOpacity(this.grid_opacity),a.setVisibility(this.show_grid),a}create_axes(t){const s=[this.xticks,this.yticks,this.zticks].map((t,s)=>{let i=null;switch(s){case 0:i=r.cartesian_product(t,[this.origin[1]],[this.origin[2]]);break;case 1:i=r.cartesian_product([this.origin[0]],t,[this.origin[2]]);break;case 2:i=r.cartesian_product([this.origin[0]],[this.origin[1]],t)}return i}).flat(2),i=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:s},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:[2,0,this.xticks.length-1,2,this.xticks.length,this.xticks.length+this.yticks.length-1,2,this.xticks.length+this.yticks.length,this.xticks.length+this.yticks.length+this.zticks.length-1]}}),e=r.vtkns.PixelSpaceCallbackMapper.newInstance();e.setInputData(i),e.setUseZValues(!0),e.setCallback((s,i,a)=>{const c=t.getContext(\"2d\");if(c){const r={height:t.clientHeight*window.devicePixelRatio,width:t.clientWidth*window.devicePixelRatio},h=e.getInputData().getPoints(),l=i.getViewMatrix();n.mat4.transpose(l,l);const o=i.getProjectionMatrix(a,-1,1);n.mat4.transpose(o,o),c.clearRect(0,0,r.width,r.height),s.forEach((t,s)=>{const i=h.getPoint(s),e=n.vec3.fromValues(i[0],i[1],i[2]);if(n.vec3.transformMat4(e,e,l),e[2]+=.05,n.vec3.transformMat4(e,e,o),e[2]-.001<t[3]){let i;c.font=\"30px serif\",c.textAlign=\"center\",c.textBaseline=\"alphabetic\",c.fillText(\".\",t[0],r.height-t[1]+2),c.font=this.fontsize*window.devicePixelRatio+\"px serif\",c.textAlign=\"right\",c.textBaseline=\"top\",i=s<this.xticks.length?this.xlabels[s]:s>=this.xticks.length&&s<this.xticks.length+this.yticks.length?this.ylabels[s-this.xticks.length]:this.zlabels[s-(this.xticks.length+this.yticks.length)],c.fillText(\"\"+i,t[0],r.height-t[1])}})}});const a=r.vtkns.Actor.newInstance();a.setMapper(e);const c=r.vtkns.Mapper.newInstance();c.setInputData(i);const h=r.vtkns.Actor.newInstance();return h.setMapper(c),h.getProperty().setOpacity(this.axes_opacity),{psActor:a,axesActor:h,gridActor:this._create_grid_axes()}}}i.VTKAxes=h,h.__name__=\"VTKAxes\",h.__module__=\"panel.models.vtk\",h.init_VTKAxes()},\n",
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+       "      \"68ca94c15c\": function _(t,a,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.EPSILON=1e-6,r.ARRAY_TYPE=\"undefined\"!=typeof Float32Array?Float32Array:Array,r.RANDOM=Math.random,r.setMatrixArrayType=function(t){r.ARRAY_TYPE=t};var n=Math.PI/180;r.toRadian=function(t){return t*n},r.equals=function(t,a){return Math.abs(t-a)<=r.EPSILON*Math.max(1,Math.abs(t),Math.abs(a))},Math.hypot||(Math.hypot=function(){for(var t=0,a=arguments.length;a--;)t+=arguments[a]*arguments[a];return Math.sqrt(t)})},\n",
+       "      \"7c0b8e6048\": function _(t,n,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function u(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1],f=r[2],s=r[3];return t[0]=a*c+e*i,t[1]=u*c+o*i,t[2]=a*f+e*s,t[3]=u*f+o*s,t}function e(t,n,r){return t[0]=n[0]-r[0],t[1]=n[1]-r[1],t[2]=n[2]-r[2],t[3]=n[3]-r[3],t}r.create=function(){var t=new a.ARRAY_TYPE(4);return a.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},r.clone=function(t){var n=new a.ARRAY_TYPE(4);return n[0]=t[0],n[1]=t[1],n[2]=t[2],n[3]=t[3],n},r.copy=function(t,n){return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t},r.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t},r.fromValues=function(t,n,r,u){var e=new a.ARRAY_TYPE(4);return e[0]=t,e[1]=n,e[2]=r,e[3]=u,e},r.set=function(t,n,r,a,u){return t[0]=n,t[1]=r,t[2]=a,t[3]=u,t},r.transpose=function(t,n){if(t===n){var r=n[1];t[1]=n[2],t[2]=r}else t[0]=n[0],t[1]=n[2],t[2]=n[1],t[3]=n[3];return t},r.invert=function(t,n){var r=n[0],a=n[1],u=n[2],e=n[3],o=r*e-u*a;return o?(o=1/o,t[0]=e*o,t[1]=-a*o,t[2]=-u*o,t[3]=r*o,t):null},r.adjoint=function(t,n){var r=n[0];return t[0]=n[3],t[1]=-n[1],t[2]=-n[2],t[3]=r,t},r.determinant=function(t){return t[0]*t[3]-t[2]*t[1]},r.multiply=u,r.rotate=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=Math.sin(r),i=Math.cos(r);return t[0]=a*i+e*c,t[1]=u*i+o*c,t[2]=a*-c+e*i,t[3]=u*-c+o*i,t},r.scale=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1];return t[0]=a*c,t[1]=u*c,t[2]=e*i,t[3]=o*i,t},r.fromRotation=function(t,n){var r=Math.sin(n),a=Math.cos(n);return t[0]=a,t[1]=r,t[2]=-r,t[3]=a,t},r.fromScaling=function(t,n){return t[0]=n[0],t[1]=0,t[2]=0,t[3]=n[1],t},r.str=function(t){return\"mat2(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\")\"},r.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3])},r.LDU=function(t,n,r,a){return t[2]=a[2]/a[0],r[0]=a[0],r[1]=a[1],r[3]=a[3]-t[2]*r[1],[t,n,r]},r.add=function(t,n,r){return t[0]=n[0]+r[0],t[1]=n[1]+r[1],t[2]=n[2]+r[2],t[3]=n[3]+r[3],t},r.subtract=e,r.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]&&t[3]===n[3]},r.equals=function(t,n){var r=t[0],u=t[1],e=t[2],o=t[3],c=n[0],i=n[1],f=n[2],s=n[3];return Math.abs(r-c)<=a.EPSILON*Math.max(1,Math.abs(r),Math.abs(c))&&Math.abs(u-i)<=a.EPSILON*Math.max(1,Math.abs(u),Math.abs(i))&&Math.abs(e-f)<=a.EPSILON*Math.max(1,Math.abs(e),Math.abs(f))&&Math.abs(o-s)<=a.EPSILON*Math.max(1,Math.abs(o),Math.abs(s))},r.multiplyScalar=function(t,n,r){return t[0]=n[0]*r,t[1]=n[1]*r,t[2]=n[2]*r,t[3]=n[3]*r,t},r.multiplyScalarAndAdd=function(t,n,r,a){return t[0]=n[0]+r[0]*a,t[1]=n[1]+r[1]*a,t[2]=n[2]+r[2]*a,t[3]=n[3]+r[3]*a,t},r.mul=u,r.sub=e},\n",
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+       "      \"0285c50a7e\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function u(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1],l=n[2],m=n[3],v=n[4],E=n[5],P=n[6],S=n[7],d=n[8];return t[0]=f*r+b*e+l*s,t[1]=f*u+b*i+l*M,t[2]=f*o+b*c+l*h,t[3]=m*r+v*e+E*s,t[4]=m*u+v*i+E*M,t[5]=m*o+v*c+E*h,t[6]=P*r+S*e+d*s,t[7]=P*u+S*i+d*M,t[8]=P*o+S*c+d*h,t}function o(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t}n.create=function(){var t=new r.ARRAY_TYPE(9);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},n.fromMat4=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[4],t[4]=a[5],t[5]=a[6],t[6]=a[8],t[7]=a[9],t[8]=a[10],t},n.clone=function(t){var a=new r.ARRAY_TYPE(9);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromValues=function(t,a,n,u,o,e,i,c,s){var M=new r.ARRAY_TYPE(9);return M[0]=t,M[1]=a,M[2]=n,M[3]=u,M[4]=o,M[5]=e,M[6]=i,M[7]=c,M[8]=s,M},n.set=function(t,a,n,r,u,o,e,i,c,s){return t[0]=a,t[1]=n,t[2]=r,t[3]=u,t[4]=o,t[5]=e,t[6]=i,t[7]=c,t[8]=s,t},n.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],u=a[5];t[1]=a[3],t[2]=a[6],t[3]=n,t[5]=a[7],t[6]=r,t[7]=u}else t[0]=a[0],t[1]=a[3],t[2]=a[6],t[3]=a[1],t[4]=a[4],t[5]=a[7],t[6]=a[2],t[7]=a[5],t[8]=a[8];return t},n.invert=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=M*e-i*s,f=-M*o+i*c,b=s*o-e*c,l=n*h+r*f+u*b;return l?(l=1/l,t[0]=h*l,t[1]=(-M*r+u*s)*l,t[2]=(i*r-u*e)*l,t[3]=f*l,t[4]=(M*n-u*c)*l,t[5]=(-i*n+u*o)*l,t[6]=b*l,t[7]=(-s*n+r*c)*l,t[8]=(e*n-r*o)*l,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8];return t[0]=e*M-i*s,t[1]=u*s-r*M,t[2]=r*i-u*e,t[3]=i*c-o*M,t[4]=n*M-u*c,t[5]=u*o-n*i,t[6]=o*s-e*c,t[7]=r*c-n*s,t[8]=n*e-r*o,t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],u=t[3],o=t[4],e=t[5],i=t[6],c=t[7],s=t[8];return a*(s*o-e*c)+n*(-s*u+e*i)+r*(c*u-o*i)},n.multiply=u,n.translate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1];return t[0]=r,t[1]=u,t[2]=o,t[3]=e,t[4]=i,t[5]=c,t[6]=f*r+b*e+s,t[7]=f*u+b*i+M,t[8]=f*o+b*c+h,t},n.rotate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=Math.sin(n),b=Math.cos(n);return t[0]=b*r+f*e,t[1]=b*u+f*i,t[2]=b*o+f*c,t[3]=b*e-f*r,t[4]=b*i-f*u,t[5]=b*c-f*o,t[6]=s,t[7]=M,t[8]=h,t},n.scale=function(t,a,n){var r=n[0],u=n[1];return t[0]=r*a[0],t[1]=r*a[1],t[2]=r*a[2],t[3]=u*a[3],t[4]=u*a[4],t[5]=u*a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=a[0],t[7]=a[1],t[8]=1,t},n.fromRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=-n,t[4]=r,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=a[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromMat2d=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=0,t[3]=a[2],t[4]=a[3],t[5]=0,t[6]=a[4],t[7]=a[5],t[8]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=n+n,i=r+r,c=u+u,s=n*e,M=r*e,h=r*i,f=u*e,b=u*i,l=u*c,m=o*e,v=o*i,E=o*c;return t[0]=1-h-l,t[3]=M-E,t[6]=f+v,t[1]=M+E,t[4]=1-s-l,t[7]=b-m,t[2]=f-v,t[5]=b+m,t[8]=1-s-h,t},n.normalFromMat4=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],E=a[15],P=n*i-r*e,S=n*c-u*e,d=n*s-o*e,A=r*c-u*i,x=r*s-o*i,O=u*s-o*c,p=M*m-h*l,I=M*v-f*l,L=M*E-b*l,N=h*v-f*m,R=h*E-b*m,_=f*E-b*v,y=P*_-S*R+d*N+A*L-x*I+O*p;return y?(y=1/y,t[0]=(i*_-c*R+s*N)*y,t[1]=(c*L-e*_-s*I)*y,t[2]=(e*R-i*L+s*p)*y,t[3]=(u*R-r*_-o*N)*y,t[4]=(n*_-u*L+o*I)*y,t[5]=(r*L-n*R-o*p)*y,t[6]=(m*O-v*x+E*A)*y,t[7]=(v*d-l*O-E*S)*y,t[8]=(l*x-m*d+E*P)*y,t):null},n.projection=function(t,a,n){return t[0]=2/a,t[1]=0,t[2]=0,t[3]=0,t[4]=-2/n,t[5]=0,t[6]=-1,t[7]=1,t[8]=1,t},n.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t},n.subtract=o,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]},n.equals=function(t,a){var n=t[0],u=t[1],o=t[2],e=t[3],i=t[4],c=t[5],s=t[6],M=t[7],h=t[8],f=a[0],b=a[1],l=a[2],m=a[3],v=a[4],E=a[5],P=a[6],S=a[7],d=a[8];return Math.abs(n-f)<=r.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(u-b)<=r.EPSILON*Math.max(1,Math.abs(u),Math.abs(b))&&Math.abs(o-l)<=r.EPSILON*Math.max(1,Math.abs(o),Math.abs(l))&&Math.abs(e-m)<=r.EPSILON*Math.max(1,Math.abs(e),Math.abs(m))&&Math.abs(i-v)<=r.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(c-E)<=r.EPSILON*Math.max(1,Math.abs(c),Math.abs(E))&&Math.abs(s-P)<=r.EPSILON*Math.max(1,Math.abs(s),Math.abs(P))&&Math.abs(M-S)<=r.EPSILON*Math.max(1,Math.abs(M),Math.abs(S))&&Math.abs(h-d)<=r.EPSILON*Math.max(1,Math.abs(h),Math.abs(d))},n.mul=u,n.sub=o},\n",
+       "      \"a427635f32\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function h(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function o(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],v=a[12],m=a[13],P=a[14],E=a[15],S=n[0],I=n[1],O=n[2],p=n[3];return t[0]=S*r+I*M+O*c+p*v,t[1]=S*h+I*e+O*f+p*m,t[2]=S*o+I*s+O*b+p*P,t[3]=S*u+I*i+O*l+p*E,S=n[4],I=n[5],O=n[6],p=n[7],t[4]=S*r+I*M+O*c+p*v,t[5]=S*h+I*e+O*f+p*m,t[6]=S*o+I*s+O*b+p*P,t[7]=S*u+I*i+O*l+p*E,S=n[8],I=n[9],O=n[10],p=n[11],t[8]=S*r+I*M+O*c+p*v,t[9]=S*h+I*e+O*f+p*m,t[10]=S*o+I*s+O*b+p*P,t[11]=S*u+I*i+O*l+p*E,S=n[12],I=n[13],O=n[14],p=n[15],t[12]=S*r+I*M+O*c+p*v,t[13]=S*h+I*e+O*f+p*m,t[14]=S*o+I*s+O*b+p*P,t[15]=S*u+I*i+O*l+p*E,t}function u(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=r+r,e=h+h,s=o+o,i=r*M,c=r*e,f=r*s,b=h*e,l=h*s,v=o*s,m=u*M,P=u*e,E=u*s;return t[0]=1-(b+v),t[1]=c+E,t[2]=f-P,t[3]=0,t[4]=c-E,t[5]=1-(i+v),t[6]=l+m,t[7]=0,t[8]=f+P,t[9]=l-m,t[10]=1-(i+b),t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t}function M(t,a){var n=a[0],r=a[1],h=a[2],o=a[4],u=a[5],M=a[6],e=a[8],s=a[9],i=a[10];return t[0]=Math.hypot(n,r,h),t[1]=Math.hypot(o,u,M),t[2]=Math.hypot(e,s,i),t}function e(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t[9]=a[9]-n[9],t[10]=a[10]-n[10],t[11]=a[11]-n[11],t[12]=a[12]-n[12],t[13]=a[13]-n[13],t[14]=a[14]-n[14],t[15]=a[15]-n[15],t}n.create=function(){var t=new r.ARRAY_TYPE(16);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},n.clone=function(t){var a=new r.ARRAY_TYPE(16);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a[9]=t[9],a[10]=t[10],a[11]=t[11],a[12]=t[12],a[13]=t[13],a[14]=t[14],a[15]=t[15],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.fromValues=function(t,a,n,h,o,u,M,e,s,i,c,f,b,l,v,m){var P=new r.ARRAY_TYPE(16);return P[0]=t,P[1]=a,P[2]=n,P[3]=h,P[4]=o,P[5]=u,P[6]=M,P[7]=e,P[8]=s,P[9]=i,P[10]=c,P[11]=f,P[12]=b,P[13]=l,P[14]=v,P[15]=m,P},n.set=function(t,a,n,r,h,o,u,M,e,s,i,c,f,b,l,v,m){return t[0]=a,t[1]=n,t[2]=r,t[3]=h,t[4]=o,t[5]=u,t[6]=M,t[7]=e,t[8]=s,t[9]=i,t[10]=c,t[11]=f,t[12]=b,t[13]=l,t[14]=v,t[15]=m,t},n.identity=h,n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],h=a[3],o=a[6],u=a[7],M=a[11];t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=n,t[6]=a[9],t[7]=a[13],t[8]=r,t[9]=o,t[11]=a[14],t[12]=h,t[13]=u,t[14]=M}else t[0]=a[0],t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=a[1],t[5]=a[5],t[6]=a[9],t[7]=a[13],t[8]=a[2],t[9]=a[6],t[10]=a[10],t[11]=a[14],t[12]=a[3],t[13]=a[7],t[14]=a[11],t[15]=a[15];return t},n.invert=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15],E=n*M-r*u,S=n*e-h*u,I=n*s-o*u,O=r*e-h*M,p=r*s-o*M,L=h*s-o*e,N=i*v-c*l,R=i*m-f*l,x=i*P-b*l,y=c*m-f*v,A=c*P-b*v,Y=f*P-b*m,d=E*Y-S*A+I*y+O*x-p*R+L*N;return d?(d=1/d,t[0]=(M*Y-e*A+s*y)*d,t[1]=(h*A-r*Y-o*y)*d,t[2]=(v*L-m*p+P*O)*d,t[3]=(f*p-c*L-b*O)*d,t[4]=(e*x-u*Y-s*R)*d,t[5]=(n*Y-h*x+o*R)*d,t[6]=(m*I-l*L-P*S)*d,t[7]=(i*L-f*I+b*S)*d,t[8]=(u*A-M*x+s*N)*d,t[9]=(r*x-n*A-o*N)*d,t[10]=(l*p-v*I+P*E)*d,t[11]=(c*I-i*p-b*E)*d,t[12]=(M*R-u*y-e*N)*d,t[13]=(n*y-r*R+h*N)*d,t[14]=(v*S-l*O-m*E)*d,t[15]=(i*O-c*S+f*E)*d,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15];return t[0]=M*(f*P-b*m)-c*(e*P-s*m)+v*(e*b-s*f),t[1]=-(r*(f*P-b*m)-c*(h*P-o*m)+v*(h*b-o*f)),t[2]=r*(e*P-s*m)-M*(h*P-o*m)+v*(h*s-o*e),t[3]=-(r*(e*b-s*f)-M*(h*b-o*f)+c*(h*s-o*e)),t[4]=-(u*(f*P-b*m)-i*(e*P-s*m)+l*(e*b-s*f)),t[5]=n*(f*P-b*m)-i*(h*P-o*m)+l*(h*b-o*f),t[6]=-(n*(e*P-s*m)-u*(h*P-o*m)+l*(h*s-o*e)),t[7]=n*(e*b-s*f)-u*(h*b-o*f)+i*(h*s-o*e),t[8]=u*(c*P-b*v)-i*(M*P-s*v)+l*(M*b-s*c),t[9]=-(n*(c*P-b*v)-i*(r*P-o*v)+l*(r*b-o*c)),t[10]=n*(M*P-s*v)-u*(r*P-o*v)+l*(r*s-o*M),t[11]=-(n*(M*b-s*c)-u*(r*b-o*c)+i*(r*s-o*M)),t[12]=-(u*(c*m-f*v)-i*(M*m-e*v)+l*(M*f-e*c)),t[13]=n*(c*m-f*v)-i*(r*m-h*v)+l*(r*f-h*c),t[14]=-(n*(M*m-e*v)-u*(r*m-h*v)+l*(r*e-h*M)),t[15]=n*(M*f-e*c)-u*(r*f-h*c)+i*(r*e-h*M),t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],h=t[3],o=t[4],u=t[5],M=t[6],e=t[7],s=t[8],i=t[9],c=t[10],f=t[11],b=t[12],l=t[13],v=t[14],m=t[15];return(a*u-n*o)*(c*m-f*v)-(a*M-r*o)*(i*m-f*l)+(a*e-h*o)*(i*v-c*l)+(n*M-r*u)*(s*m-f*b)-(n*e-h*u)*(s*v-c*b)+(r*e-h*M)*(s*l-i*b)},n.multiply=o,n.translate=function(t,a,n){var r,h,o,u,M,e,s,i,c,f,b,l,v=n[0],m=n[1],P=n[2];return a===t?(t[12]=a[0]*v+a[4]*m+a[8]*P+a[12],t[13]=a[1]*v+a[5]*m+a[9]*P+a[13],t[14]=a[2]*v+a[6]*m+a[10]*P+a[14],t[15]=a[3]*v+a[7]*m+a[11]*P+a[15]):(r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],t[0]=r,t[1]=h,t[2]=o,t[3]=u,t[4]=M,t[5]=e,t[6]=s,t[7]=i,t[8]=c,t[9]=f,t[10]=b,t[11]=l,t[12]=r*v+M*m+c*P+a[12],t[13]=h*v+e*m+f*P+a[13],t[14]=o*v+s*m+b*P+a[14],t[15]=u*v+i*m+l*P+a[15]),t},n.scale=function(t,a,n){var r=n[0],h=n[1],o=n[2];return t[0]=a[0]*r,t[1]=a[1]*r,t[2]=a[2]*r,t[3]=a[3]*r,t[4]=a[4]*h,t[5]=a[5]*h,t[6]=a[6]*h,t[7]=a[7]*h,t[8]=a[8]*o,t[9]=a[9]*o,t[10]=a[10]*o,t[11]=a[11]*o,t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.rotate=function(t,a,n,h){var o,u,M,e,s,i,c,f,b,l,v,m,P,E,S,I,O,p,L,N,R,x,y,A,Y=h[0],d=h[1],g=h[2],T=Math.hypot(Y,d,g);return T<r.EPSILON?null:(Y*=T=1/T,d*=T,g*=T,o=Math.sin(n),M=1-(u=Math.cos(n)),e=a[0],s=a[1],i=a[2],c=a[3],f=a[4],b=a[5],l=a[6],v=a[7],m=a[8],P=a[9],E=a[10],S=a[11],I=Y*Y*M+u,O=d*Y*M+g*o,p=g*Y*M-d*o,L=Y*d*M-g*o,N=d*d*M+u,R=g*d*M+Y*o,x=Y*g*M+d*o,y=d*g*M-Y*o,A=g*g*M+u,t[0]=e*I+f*O+m*p,t[1]=s*I+b*O+P*p,t[2]=i*I+l*O+E*p,t[3]=c*I+v*O+S*p,t[4]=e*L+f*N+m*R,t[5]=s*L+b*N+P*R,t[6]=i*L+l*N+E*R,t[7]=c*L+v*N+S*R,t[8]=e*x+f*y+m*A,t[9]=s*x+b*y+P*A,t[10]=i*x+l*y+E*A,t[11]=c*x+v*y+S*A,a!==t&&(t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t)},n.rotateX=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[4],u=a[5],M=a[6],e=a[7],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[4]=o*h+s*r,t[5]=u*h+i*r,t[6]=M*h+c*r,t[7]=e*h+f*r,t[8]=s*h-o*r,t[9]=i*h-u*r,t[10]=c*h-M*r,t[11]=f*h-e*r,t},n.rotateY=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h-s*r,t[1]=u*h-i*r,t[2]=M*h-c*r,t[3]=e*h-f*r,t[8]=o*r+s*h,t[9]=u*r+i*h,t[10]=M*r+c*h,t[11]=e*r+f*h,t},n.rotateZ=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7];return a!==t&&(t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h+s*r,t[1]=u*h+i*r,t[2]=M*h+c*r,t[3]=e*h+f*r,t[4]=s*h-o*r,t[5]=i*h-u*r,t[6]=c*h-M*r,t[7]=f*h-e*r,t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=a[0],t[13]=a[1],t[14]=a[2],t[15]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=a[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotation=function(t,a,n){var h,o,u,M=n[0],e=n[1],s=n[2],i=Math.hypot(M,e,s);return i<r.EPSILON?null:(M*=i=1/i,e*=i,s*=i,h=Math.sin(a),u=1-(o=Math.cos(a)),t[0]=M*M*u+o,t[1]=e*M*u+s*h,t[2]=s*M*u-e*h,t[3]=0,t[4]=M*e*u-s*h,t[5]=e*e*u+o,t[6]=s*e*u+M*h,t[7]=0,t[8]=M*s*u+e*h,t[9]=e*s*u-M*h,t[10]=s*s*u+o,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},n.fromXRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=r,t[6]=n,t[7]=0,t[8]=0,t[9]=-n,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromYRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=0,t[2]=-n,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=n,t[9]=0,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromZRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=0,t[4]=-n,t[5]=r,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotationTranslation=u,n.fromQuat2=function(t,a){var n=new r.ARRAY_TYPE(3),h=-a[0],o=-a[1],M=-a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7],b=h*h+o*o+M*M+e*e;return b>0?(n[0]=2*(s*e+f*h+i*M-c*o)/b,n[1]=2*(i*e+f*o+c*h-s*M)/b,n[2]=2*(c*e+f*M+s*o-i*h)/b):(n[0]=2*(s*e+f*h+i*M-c*o),n[1]=2*(i*e+f*o+c*h-s*M),n[2]=2*(c*e+f*M+s*o-i*h)),u(t,a,n),t},n.getTranslation=function(t,a){return t[0]=a[12],t[1]=a[13],t[2]=a[14],t},n.getScaling=M,n.getRotation=function(t,a){var n=new r.ARRAY_TYPE(3);M(n,a);var h=1/n[0],o=1/n[1],u=1/n[2],e=a[0]*h,s=a[1]*o,i=a[2]*u,c=a[4]*h,f=a[5]*o,b=a[6]*u,l=a[8]*h,v=a[9]*o,m=a[10]*u,P=e+f+m,E=0;return P>0?(E=2*Math.sqrt(P+1),t[3]=.25*E,t[0]=(b-v)/E,t[1]=(l-i)/E,t[2]=(s-c)/E):e>f&&e>m?(E=2*Math.sqrt(1+e-f-m),t[3]=(b-v)/E,t[0]=.25*E,t[1]=(s+c)/E,t[2]=(l+i)/E):f>m?(E=2*Math.sqrt(1+f-e-m),t[3]=(l-i)/E,t[0]=(s+c)/E,t[1]=.25*E,t[2]=(b+v)/E):(E=2*Math.sqrt(1+m-e-f),t[3]=(s-c)/E,t[0]=(l+i)/E,t[1]=(b+v)/E,t[2]=.25*E),t},n.fromRotationTranslationScale=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=a[3],e=h+h,s=o+o,i=u+u,c=h*e,f=h*s,b=h*i,l=o*s,v=o*i,m=u*i,P=M*e,E=M*s,S=M*i,I=r[0],O=r[1],p=r[2];return t[0]=(1-(l+m))*I,t[1]=(f+S)*I,t[2]=(b-E)*I,t[3]=0,t[4]=(f-S)*O,t[5]=(1-(c+m))*O,t[6]=(v+P)*O,t[7]=0,t[8]=(b+E)*p,t[9]=(v-P)*p,t[10]=(1-(c+l))*p,t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t},n.fromRotationTranslationScaleOrigin=function(t,a,n,r,h){var o=a[0],u=a[1],M=a[2],e=a[3],s=o+o,i=u+u,c=M+M,f=o*s,b=o*i,l=o*c,v=u*i,m=u*c,P=M*c,E=e*s,S=e*i,I=e*c,O=r[0],p=r[1],L=r[2],N=h[0],R=h[1],x=h[2],y=(1-(v+P))*O,A=(b+I)*O,Y=(l-S)*O,d=(b-I)*p,g=(1-(f+P))*p,T=(m+E)*p,_=(l+S)*L,q=(m-E)*L,w=(1-(f+v))*L;return t[0]=y,t[1]=A,t[2]=Y,t[3]=0,t[4]=d,t[5]=g,t[6]=T,t[7]=0,t[8]=_,t[9]=q,t[10]=w,t[11]=0,t[12]=n[0]+N-(y*N+d*R+_*x),t[13]=n[1]+R-(A*N+g*R+q*x),t[14]=n[2]+x-(Y*N+T*R+w*x),t[15]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=n+n,M=r+r,e=h+h,s=n*u,i=r*u,c=r*M,f=h*u,b=h*M,l=h*e,v=o*u,m=o*M,P=o*e;return t[0]=1-c-l,t[1]=i+P,t[2]=f-m,t[3]=0,t[4]=i-P,t[5]=1-s-l,t[6]=b+v,t[7]=0,t[8]=f+m,t[9]=b-v,t[10]=1-s-c,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.frustum=function(t,a,n,r,h,o,u){var M=1/(n-a),e=1/(h-r),s=1/(o-u);return t[0]=2*o*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*o*e,t[6]=0,t[7]=0,t[8]=(n+a)*M,t[9]=(h+r)*e,t[10]=(u+o)*s,t[11]=-1,t[12]=0,t[13]=0,t[14]=u*o*2*s,t[15]=0,t},n.perspective=function(t,a,n,r,h){var o,u=1/Math.tan(a/2);return t[0]=u/n,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=h&&h!==1/0?(o=1/(r-h),t[10]=(h+r)*o,t[14]=2*h*r*o):(t[10]=-1,t[14]=-2*r),t},n.perspectiveFromFieldOfView=function(t,a,n,r){var h=Math.tan(a.upDegrees*Math.PI/180),o=Math.tan(a.downDegrees*Math.PI/180),u=Math.tan(a.leftDegrees*Math.PI/180),M=Math.tan(a.rightDegrees*Math.PI/180),e=2/(u+M),s=2/(h+o);return t[0]=e,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=s,t[6]=0,t[7]=0,t[8]=-(u-M)*e*.5,t[9]=(h-o)*s*.5,t[10]=r/(n-r),t[11]=-1,t[12]=0,t[13]=0,t[14]=r*n/(n-r),t[15]=0,t},n.ortho=function(t,a,n,r,h,o,u){var M=1/(a-n),e=1/(r-h),s=1/(o-u);return t[0]=-2*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*e,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*s,t[11]=0,t[12]=(a+n)*M,t[13]=(h+r)*e,t[14]=(u+o)*s,t[15]=1,t},n.lookAt=function(t,a,n,o){var u,M,e,s,i,c,f,b,l,v,m=a[0],P=a[1],E=a[2],S=o[0],I=o[1],O=o[2],p=n[0],L=n[1],N=n[2];return Math.abs(m-p)<r.EPSILON&&Math.abs(P-L)<r.EPSILON&&Math.abs(E-N)<r.EPSILON?h(t):(f=m-p,b=P-L,l=E-N,u=I*(l*=v=1/Math.hypot(f,b,l))-O*(b*=v),M=O*(f*=v)-S*l,e=S*b-I*f,(v=Math.hypot(u,M,e))?(u*=v=1/v,M*=v,e*=v):(u=0,M=0,e=0),s=b*e-l*M,i=l*u-f*e,c=f*M-b*u,(v=Math.hypot(s,i,c))?(s*=v=1/v,i*=v,c*=v):(s=0,i=0,c=0),t[0]=u,t[1]=s,t[2]=f,t[3]=0,t[4]=M,t[5]=i,t[6]=b,t[7]=0,t[8]=e,t[9]=c,t[10]=l,t[11]=0,t[12]=-(u*m+M*P+e*E),t[13]=-(s*m+i*P+c*E),t[14]=-(f*m+b*P+l*E),t[15]=1,t)},n.targetTo=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=r[0],e=r[1],s=r[2],i=h-n[0],c=o-n[1],f=u-n[2],b=i*i+c*c+f*f;b>0&&(i*=b=1/Math.sqrt(b),c*=b,f*=b);var l=e*f-s*c,v=s*i-M*f,m=M*c-e*i;return(b=l*l+v*v+m*m)>0&&(l*=b=1/Math.sqrt(b),v*=b,m*=b),t[0]=l,t[1]=v,t[2]=m,t[3]=0,t[4]=c*m-f*v,t[5]=f*l-i*m,t[6]=i*v-c*l,t[7]=0,t[8]=i,t[9]=c,t[10]=f,t[11]=0,t[12]=h,t[13]=o,t[14]=u,t[15]=1,t},n.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8],t[9],t[10],t[11],t[12],t[13],t[14],t[15])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t[9]=a[9]+n[9],t[10]=a[10]+n[10],t[11]=a[11]+n[11],t[12]=a[12]+n[12],t[13]=a[13]+n[13],t[14]=a[14]+n[14],t[15]=a[15]+n[15],t},n.subtract=e,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t[9]=a[9]*n,t[10]=a[10]*n,t[11]=a[11]*n,t[12]=a[12]*n,t[13]=a[13]*n,t[14]=a[14]*n,t[15]=a[15]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t[9]=a[9]+n[9]*r,t[10]=a[10]+n[10]*r,t[11]=a[11]+n[11]*r,t[12]=a[12]+n[12]*r,t[13]=a[13]+n[13]*r,t[14]=a[14]+n[14]*r,t[15]=a[15]+n[15]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]&&t[9]===a[9]&&t[10]===a[10]&&t[11]===a[11]&&t[12]===a[12]&&t[13]===a[13]&&t[14]===a[14]&&t[15]===a[15]},n.equals=function(t,a){var n=t[0],h=t[1],o=t[2],u=t[3],M=t[4],e=t[5],s=t[6],i=t[7],c=t[8],f=t[9],b=t[10],l=t[11],v=t[12],m=t[13],P=t[14],E=t[15],S=a[0],I=a[1],O=a[2],p=a[3],L=a[4],N=a[5],R=a[6],x=a[7],y=a[8],A=a[9],Y=a[10],d=a[11],g=a[12],T=a[13],_=a[14],q=a[15];return 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+       "      \"eb06fc032a\": function _(t,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});const n=t(\"tslib\"),e=n.__importStar(t(\"68ca94c15c\")),o=n.__importStar(t(\"0285c50a7e\")),s=n.__importStar(t(\"2c5eb22089\")),u=n.__importStar(t(\"c1aa33d719\"));function c(){var t=new e.ARRAY_TYPE(4);return e.ARRAY_TYPE!=Float32Array&&(t[0]=0,t[1]=0,t[2]=0),t[3]=1,t}function i(t,r,a){a*=.5;var n=Math.sin(a);return t[0]=n*r[0],t[1]=n*r[1],t[2]=n*r[2],t[3]=Math.cos(a),t}function h(t,r,a){var n=r[0],e=r[1],o=r[2],s=r[3],u=a[0],c=a[1],i=a[2],h=a[3];return t[0]=n*h+s*u+e*i-o*c,t[1]=e*h+s*c+o*u-n*i,t[2]=o*h+s*i+n*c-e*u,t[3]=s*h-n*u-e*c-o*i,t}function M(t,r){var a=r[0],n=r[1],e=r[2],o=r[3],s=Math.sqrt(a*a+n*n+e*e),u=Math.exp(o),c=s>0?u*Math.sin(s)/s:0;return t[0]=a*c,t[1]=n*c,t[2]=e*c,t[3]=u*Math.cos(s),t}function l(t,r){var a=r[0],n=r[1],e=r[2],o=r[3],s=Math.sqrt(a*a+n*n+e*e),u=s>0?Math.atan2(s,o)/s:0;return t[0]=a*u,t[1]=n*u,t[2]=e*u,t[3]=.5*Math.log(a*a+n*n+e*e+o*o),t}function f(t,r,a,n){var o,s,u,c,i,h=r[0],M=r[1],l=r[2],f=r[3],v=a[0],m=a[1],q=a[2],d=a[3];return(s=h*v+M*m+l*q+f*d)<0&&(s=-s,v=-v,m=-m,q=-q,d=-d),1-s>e.EPSILON?(o=Math.acos(s),u=Math.sin(o),c=Math.sin((1-n)*o)/u,i=Math.sin(n*o)/u):(c=1-n,i=n),t[0]=c*h+i*v,t[1]=c*M+i*m,t[2]=c*l+i*q,t[3]=c*f+i*d,t}function v(t,r){var a,n=r[0]+r[4]+r[8];if(n>0)a=Math.sqrt(n+1),t[3]=.5*a,a=.5/a,t[0]=(r[5]-r[7])*a,t[1]=(r[6]-r[2])*a,t[2]=(r[1]-r[3])*a;else{var e=0;r[4]>r[0]&&(e=1),r[8]>r[3*e+e]&&(e=2);var o=(e+1)%3,s=(e+2)%3;a=Math.sqrt(r[3*e+e]-r[3*o+o]-r[3*s+s]+1),t[e]=.5*a,a=.5/a,t[3]=(r[3*o+s]-r[3*s+o])*a,t[o]=(r[3*o+e]+r[3*e+o])*a,t[s]=(r[3*s+e]+r[3*e+s])*a}return t}var m,q,d,p,A,g;a.create=c,a.identity=function(t){return t[0]=0,t[1]=0,t[2]=0,t[3]=1,t},a.setAxisAngle=i,a.getAxisAngle=function(t,r){var a=2*Math.acos(r[3]),n=Math.sin(a/2);return n>e.EPSILON?(t[0]=r[0]/n,t[1]=r[1]/n,t[2]=r[2]/n):(t[0]=1,t[1]=0,t[2]=0),a},a.getAngle=function(t,r){var n=a.dot(t,r);return Math.acos(2*n*n-1)},a.multiply=h,a.rotateX=function(t,r,a){a*=.5;var n=r[0],e=r[1],o=r[2],s=r[3],u=Math.sin(a),c=Math.cos(a);return t[0]=n*c+s*u,t[1]=e*c+o*u,t[2]=o*c-e*u,t[3]=s*c-n*u,t},a.rotateY=function(t,r,a){a*=.5;var n=r[0],e=r[1],o=r[2],s=r[3],u=Math.sin(a),c=Math.cos(a);return t[0]=n*c-o*u,t[1]=e*c+s*u,t[2]=o*c+n*u,t[3]=s*c-e*u,t},a.rotateZ=function(t,r,a){a*=.5;var n=r[0],e=r[1],o=r[2],s=r[3],u=Math.sin(a),c=Math.cos(a);return t[0]=n*c+e*u,t[1]=e*c-n*u,t[2]=o*c+s*u,t[3]=s*c-o*u,t},a.calculateW=function(t,r){var a=r[0],n=r[1],e=r[2];return t[0]=a,t[1]=n,t[2]=e,t[3]=Math.sqrt(Math.abs(1-a*a-n*n-e*e)),t},a.exp=M,a.ln=l,a.pow=function(t,r,n){return l(t,r),a.scale(t,t,n),M(t,t),t},a.slerp=f,a.random=function(t){var r=e.RANDOM(),a=e.RANDOM(),n=e.RANDOM(),o=Math.sqrt(1-r),s=Math.sqrt(r);return t[0]=o*Math.sin(2*Math.PI*a),t[1]=o*Math.cos(2*Math.PI*a),t[2]=s*Math.sin(2*Math.PI*n),t[3]=s*Math.cos(2*Math.PI*n),t},a.invert=function(t,r){var a=r[0],n=r[1],e=r[2],o=r[3],s=a*a+n*n+e*e+o*o,u=s?1/s:0;return t[0]=-a*u,t[1]=-n*u,t[2]=-e*u,t[3]=o*u,t},a.conjugate=function(t,r){return t[0]=-r[0],t[1]=-r[1],t[2]=-r[2],t[3]=r[3],t},a.fromMat3=v,a.fromEuler=function(t,r,a,n){var e=.5*Math.PI/180;r*=e,a*=e,n*=e;var o=Math.sin(r),s=Math.cos(r),u=Math.sin(a),c=Math.cos(a),i=Math.sin(n),h=Math.cos(n);return t[0]=o*c*h-s*u*i,t[1]=s*u*h+o*c*i,t[2]=s*c*i-o*u*h,t[3]=s*c*h+o*u*i,t},a.str=function(t){return\"quat(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\")\"},a.clone=u.clone,a.fromValues=u.fromValues,a.copy=u.copy,a.set=u.set,a.add=u.add,a.mul=h,a.scale=u.scale,a.dot=u.dot,a.lerp=u.lerp,a.length=u.length,a.len=a.length,a.squaredLength=u.squaredLength,a.sqrLen=a.squaredLength,a.normalize=u.normalize,a.exactEquals=u.exactEquals,a.equals=u.equals,a.rotationTo=(m=s.create(),q=s.fromValues(1,0,0),d=s.fromValues(0,1,0),function(t,r,n){var e=s.dot(r,n);return e<-.999999?(s.cross(m,q,r),s.len(m)<1e-6&&s.cross(m,d,r),s.normalize(m,m),i(t,m,Math.PI),t):e>.999999?(t[0]=0,t[1]=0,t[2]=0,t[3]=1,t):(s.cross(m,r,n),t[0]=m[0],t[1]=m[1],t[2]=m[2],t[3]=1+e,a.normalize(t,t))}),a.sqlerp=(p=c(),A=c(),function(t,r,a,n,e,o){return f(p,r,e,o),f(A,a,n,o),f(t,p,A,2*o*(1-o)),t}),a.setAxes=(g=o.create(),function(t,r,n,e){return g[0]=n[0],g[3]=n[1],g[6]=n[2],g[1]=e[0],g[4]=e[1],g[7]=e[2],g[2]=-r[0],g[5]=-r[1],g[8]=-r[2],a.normalize(t,v(t,g))})},\n",
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u[0]=n[0]-r[0],u[1]=n[1]-r[1],u[2]=n[2]-r[2],e[0]=u[0],e[1]=u[1]*Math.cos(a)-u[2]*Math.sin(a),e[2]=u[1]*Math.sin(a)+u[2]*Math.cos(a),t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},r.rotateY=function(t,n,r,a){var u=[],e=[];return u[0]=n[0]-r[0],u[1]=n[1]-r[1],u[2]=n[2]-r[2],e[0]=u[2]*Math.sin(a)+u[0]*Math.cos(a),e[1]=u[1],e[2]=u[2]*Math.cos(a)-u[0]*Math.sin(a),t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},r.rotateZ=function(t,n,r,a){var u=[],e=[];return u[0]=n[0]-r[0],u[1]=n[1]-r[1],u[2]=n[2]-r[2],e[0]=u[0]*Math.cos(a)-u[1]*Math.sin(a),e[1]=u[0]*Math.sin(a)+u[1]*Math.cos(a),e[2]=u[2],t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},r.angle=function(t,n){var r=t[0],a=t[1],u=t[2],e=n[0],o=n[1],i=n[2],c=Math.sqrt(r*r+a*a+u*u)*Math.sqrt(e*e+o*o+i*i),h=c&&f(t,n)/c;return Math.acos(Math.min(Math.max(h,-1),1))},r.zero=function(t){return t[0]=0,t[1]=0,t[2]=0,t},r.str=function(t){return\"vec3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\")\"},r.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]},r.equals=function(t,n){var r=t[0],u=t[1],e=t[2],o=n[0],i=n[1],c=n[2];return Math.abs(r-o)<=a.EPSILON*Math.max(1,Math.abs(r),Math.abs(o))&&Math.abs(u-i)<=a.EPSILON*Math.max(1,Math.abs(u),Math.abs(i))&&Math.abs(e-c)<=a.EPSILON*Math.max(1,Math.abs(e),Math.abs(c))},r.sub=o,r.mul=i,r.div=c,r.dist=h,r.sqrDist=M,r.len=e,r.sqrLen=s,r.forEach=(l=u(),function(t,n,r,a,u,e){var o,i;for(n||(n=3),r||(r=0),i=a?Math.min(a*n+r,t.length):t.length,o=r;o<i;o+=n)l[0]=t[o],l[1]=t[o+1],l[2]=t[o+2],u(l,l,e),t[o]=l[0],t[o+1]=l[1],t[o+2]=l[2];return t})},\n",
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u.rotateX(t,a,n),r=t[0],e=t[1],o=t[2],i=t[3],t[4]=M*i+v*r+l*o-b*e,t[5]=l*i+v*e+b*r-M*o,t[6]=b*i+v*o+M*e-l*r,t[7]=v*i-M*r-l*e-b*o,t},n.rotateY=function(t,a,n){var r=-a[0],e=-a[1],o=-a[2],i=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*i+f*r+c*o-h*e,l=c*i+f*e+h*r-s*o,b=h*i+f*o+s*e-c*r,v=f*i-s*r-c*e-h*o;return u.rotateY(t,a,n),r=t[0],e=t[1],o=t[2],i=t[3],t[4]=M*i+v*r+l*o-b*e,t[5]=l*i+v*e+b*r-M*o,t[6]=b*i+v*o+M*e-l*r,t[7]=v*i-M*r-l*e-b*o,t},n.rotateZ=function(t,a,n){var r=-a[0],e=-a[1],o=-a[2],i=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*i+f*r+c*o-h*e,l=c*i+f*e+h*r-s*o,b=h*i+f*o+s*e-c*r,v=f*i-s*r-c*e-h*o;return u.rotateZ(t,a,n),r=t[0],e=t[1],o=t[2],i=t[3],t[4]=M*i+v*r+l*o-b*e,t[5]=l*i+v*e+b*r-M*o,t[6]=b*i+v*o+M*e-l*r,t[7]=v*i-M*r-l*e-b*o,t},n.rotateByQuatAppend=function(t,a,n){var r=n[0],e=n[1],u=n[2],o=n[3],i=a[0],s=a[1],c=a[2],h=a[3];return t[0]=i*o+h*r+s*u-c*e,t[1]=s*o+h*e+c*r-i*u,t[2]=c*o+h*u+i*e-s*r,t[3]=h*o-i*r-s*e-c*u,i=a[4],s=a[5],c=a[6],h=a[7],t[4]=i*o+h*r+s*u-c*e,t[5]=s*o+h*e+c*r-i*u,t[6]=c*o+h*u+i*e-s*r,t[7]=h*o-i*r-s*e-c*u,t},n.rotateByQuatPrepend=function(t,a,n){var r=a[0],e=a[1],u=a[2],o=a[3],i=n[0],s=n[1],c=n[2],h=n[3];return t[0]=r*h+o*i+e*c-u*s,t[1]=e*h+o*s+u*i-r*c,t[2]=u*h+o*c+r*s-e*i,t[3]=o*h-r*i-e*s-u*c,i=n[4],s=n[5],c=n[6],h=n[7],t[4]=r*h+o*i+e*c-u*s,t[5]=e*h+o*s+u*i-r*c,t[6]=u*h+o*c+r*s-e*i,t[7]=o*h-r*i-e*s-u*c,t},n.rotateAroundAxis=function(t,a,n,r){if(Math.abs(r)<e.EPSILON)return s(t,a);var u=Math.hypot(n[0],n[1],n[2]);r*=.5;var o=Math.sin(r),i=o*n[0]/u,c=o*n[1]/u,h=o*n[2]/u,f=Math.cos(r),M=a[0],l=a[1],b=a[2],v=a[3];t[0]=M*f+v*i+l*h-b*c,t[1]=l*f+v*c+b*i-M*h,t[2]=b*f+v*h+M*c-l*i,t[3]=v*f-M*i-l*c-b*h;var m=a[4],R=a[5],P=a[6],d=a[7];return t[4]=m*f+d*i+R*h-P*c,t[5]=R*f+d*c+P*i-m*h,t[6]=P*f+d*h+m*c-R*i,t[7]=d*f-m*i-R*c-P*h,t},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t},n.multiply=c,n.mul=c,n.scale=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t},n.dot=u.dot,n.lerp=function(t,a,r,e){var u=1-e;return n.dot(a,r)<0&&(e=-e),t[0]=a[0]*u+r[0]*e,t[1]=a[1]*u+r[1]*e,t[2]=a[2]*u+r[2]*e,t[3]=a[3]*u+r[3]*e,t[4]=a[4]*u+r[4]*e,t[5]=a[5]*u+r[5]*e,t[6]=a[6]*u+r[6]*e,t[7]=a[7]*u+r[7]*e,t},n.invert=function(t,a){var r=n.squaredLength(a);return t[0]=-a[0]/r,t[1]=-a[1]/r,t[2]=-a[2]/r,t[3]=a[3]/r,t[4]=-a[4]/r,t[5]=-a[5]/r,t[6]=-a[6]/r,t[7]=a[7]/r,t},n.conjugate=function(t,a){return t[0]=-a[0],t[1]=-a[1],t[2]=-a[2],t[3]=a[3],t[4]=-a[4],t[5]=-a[5],t[6]=-a[6],t[7]=a[7],t},n.length=u.length,n.len=n.length,n.squaredLength=u.squaredLength,n.sqrLen=n.squaredLength,n.normalize=function(t,a){var r=n.squaredLength(a);if(r>0){r=Math.sqrt(r);var e=a[0]/r,u=a[1]/r,o=a[2]/r,i=a[3]/r,s=a[4],c=a[5],h=a[6],f=a[7],M=e*s+u*c+o*h+i*f;t[0]=e,t[1]=u,t[2]=o,t[3]=i,t[4]=(s-e*M)/r,t[5]=(c-u*M)/r,t[6]=(h-o*M)/r,t[7]=(f-i*M)/r}return t},n.str=function(t){return\"quat2(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\")\"},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]},n.equals=function(t,a){var n=t[0],r=t[1],u=t[2],o=t[3],i=t[4],s=t[5],c=t[6],h=t[7],f=a[0],M=a[1],l=a[2],b=a[3],v=a[4],m=a[5],R=a[6],P=a[7];return 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+       "      \"c56d9ff837\": function _(n,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=n(\"tslib\").__importStar(n(\"68ca94c15c\"));function u(){var n=new a.ARRAY_TYPE(2);return a.ARRAY_TYPE!=Float32Array&&(n[0]=0,n[1]=0),n}function e(n,t,r){return n[0]=t[0]-r[0],n[1]=t[1]-r[1],n}function o(n,t,r){return n[0]=t[0]*r[0],n[1]=t[1]*r[1],n}function c(n,t,r){return n[0]=t[0]/r[0],n[1]=t[1]/r[1],n}function i(n,t){var r=t[0]-n[0],a=t[1]-n[1];return Math.hypot(r,a)}function f(n,t){var r=t[0]-n[0],a=t[1]-n[1];return r*r+a*a}function s(n){var t=n[0],r=n[1];return Math.hypot(t,r)}function h(n){var t=n[0],r=n[1];return t*t+r*r}var M;r.create=u,r.clone=function(n){var t=new a.ARRAY_TYPE(2);return t[0]=n[0],t[1]=n[1],t},r.fromValues=function(n,t){var r=new a.ARRAY_TYPE(2);return r[0]=n,r[1]=t,r},r.copy=function(n,t){return n[0]=t[0],n[1]=t[1],n},r.set=function(n,t,r){return n[0]=t,n[1]=r,n},r.add=function(n,t,r){return n[0]=t[0]+r[0],n[1]=t[1]+r[1],n},r.subtract=e,r.multiply=o,r.divide=c,r.ceil=function(n,t){return n[0]=Math.ceil(t[0]),n[1]=Math.ceil(t[1]),n},r.floor=function(n,t){return n[0]=Math.floor(t[0]),n[1]=Math.floor(t[1]),n},r.min=function(n,t,r){return n[0]=Math.min(t[0],r[0]),n[1]=Math.min(t[1],r[1]),n},r.max=function(n,t,r){return n[0]=Math.max(t[0],r[0]),n[1]=Math.max(t[1],r[1]),n},r.round=function(n,t){return n[0]=Math.round(t[0]),n[1]=Math.round(t[1]),n},r.scale=function(n,t,r){return n[0]=t[0]*r,n[1]=t[1]*r,n},r.scaleAndAdd=function(n,t,r,a){return n[0]=t[0]+r[0]*a,n[1]=t[1]+r[1]*a,n},r.distance=i,r.squaredDistance=f,r.length=s,r.squaredLength=h,r.negate=function(n,t){return n[0]=-t[0],n[1]=-t[1],n},r.inverse=function(n,t){return n[0]=1/t[0],n[1]=1/t[1],n},r.normalize=function(n,t){var r=t[0],a=t[1],u=r*r+a*a;return u>0&&(u=1/Math.sqrt(u)),n[0]=t[0]*u,n[1]=t[1]*u,n},r.dot=function(n,t){return n[0]*t[0]+n[1]*t[1]},r.cross=function(n,t,r){var a=t[0]*r[1]-t[1]*r[0];return n[0]=n[1]=0,n[2]=a,n},r.lerp=function(n,t,r,a){var u=t[0],e=t[1];return n[0]=u+a*(r[0]-u),n[1]=e+a*(r[1]-e),n},r.random=function(n,t){t=t||1;var r=2*a.RANDOM()*Math.PI;return n[0]=Math.cos(r)*t,n[1]=Math.sin(r)*t,n},r.transformMat2=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u,n[1]=r[1]*a+r[3]*u,n},r.transformMat2d=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u+r[4],n[1]=r[1]*a+r[3]*u+r[5],n},r.transformMat3=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[3]*u+r[6],n[1]=r[1]*a+r[4]*u+r[7],n},r.transformMat4=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[4]*u+r[12],n[1]=r[1]*a+r[5]*u+r[13],n},r.rotate=function(n,t,r,a){var u=t[0]-r[0],e=t[1]-r[1],o=Math.sin(a),c=Math.cos(a);return n[0]=u*c-e*o+r[0],n[1]=u*o+e*c+r[1],n},r.angle=function(n,t){var r=n[0],a=n[1],u=t[0],e=t[1],o=Math.sqrt(r*r+a*a)*Math.sqrt(u*u+e*e),c=o&&(r*u+a*e)/o;return Math.acos(Math.min(Math.max(c,-1),1))},r.zero=function(n){return n[0]=0,n[1]=0,n},r.str=function(n){return\"vec2(\"+n[0]+\", \"+n[1]+\")\"},r.exactEquals=function(n,t){return n[0]===t[0]&&n[1]===t[1]},r.equals=function(n,t){var r=n[0],u=n[1],e=t[0],o=t[1];return Math.abs(r-e)<=a.EPSILON*Math.max(1,Math.abs(r),Math.abs(e))&&Math.abs(u-o)<=a.EPSILON*Math.max(1,Math.abs(u),Math.abs(o))},r.len=s,r.sub=e,r.mul=o,r.div=c,r.dist=i,r.sqrDist=f,r.sqrLen=h,r.forEach=(M=u(),function(n,t,r,a,u,e){var o,c;for(t||(t=2),r||(r=0),c=a?Math.min(a*t+r,n.length):n.length,o=r;o<c;o+=t)M[0]=n[o],M[1]=n[o+1],u(M,M,e),n[o]=M[0],n[o+1]=M[1];return n})},\n",
+       "      }, \"4e90918c0a\", {\"index\":\"4e90918c0a\",\"models/index\":\"22ae8fda70\",\"models/ace\":\"3343056bd8\",\"models/layout\":\"7116a7a602\",\"models/audio\":\"66d52165db\",\"models/comm_manager\":\"71a9759436\",\"models/deckgl\":\"d0d2aafca0\",\"models/tooltips\":\"064eac2866\",\"models/html\":\"ed08037ce5\",\"models/json\":\"284504a0cf\",\"models/file_download\":\"61c9ac7aac\",\"models/katex\":\"7b859fb3cf\",\"models/mathjax\":\"0c21036737\",\"models/player\":\"79c41bbf71\",\"models/plotly\":\"56da045fbd\",\"models/util\":\"990b5dd5c7\",\"models/progress\":\"76307e5afa\",\"models/state\":\"38b2bc9574\",\"models/vega\":\"294adeb985\",\"models/video\":\"b0c3e9e9c2\",\"models/videostream\":\"3c7145a2fa\",\"models/vtk/index\":\"ecfbb965eb\",\"models/vtk/vtk\":\"5b5e56e89a\",\"models/vtk/vtk_layout\":\"c704c63c0a\",\"models/vtk/vtk_utils\":\"aaf560d219\",\"models/vtk/vtkvolume\":\"729dd26c71\",\"models/vtk/vtkaxes\":\"e23461e5d7\"}, {});\n",
+       "      })\n",
+       "\n",
+       "\n",
+       "      /* END panel.min.js */\n",
+       "    },\n",
+       "    function(Bokeh) {} // ensure no trailing comma for IE\n",
+       "  ];\n",
+       "\n",
+       "  function run_inline_js() {\n",
+       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
+       "      for (var i = 0; i < inline_js.length; i++) {\n",
+       "        inline_js[i].call(root, root.Bokeh);\n",
+       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
+       "      setTimeout(run_inline_js, 100);\n",
+       "    } else if (!root._bokeh_failed_load) {\n",
+       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
+       "      root._bokeh_failed_load = true;\n",
+       "    }\n",
+       "  }\n",
+       "\n",
+       "  if (root._bokeh_is_loading === 0) {\n",
+       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
+       "    run_inline_js();\n",
+       "  } else {\n",
+       "    load_libs(css_urls, js_urls, function() {\n",
+       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+       "      run_inline_js();\n",
+       "    });\n",
+       "  }\n",
+       "}(window));"
+      ],
+      "application/vnd.holoviews_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    if (window.requirejs) {\n      window.requirejs.config({'paths': {'plotly': 'https://cdn.plot.ly/plotly-latest.min'}});\n      require([], function() {\n        run_callbacks();\n      })\n    } else {\n      var skip = [];\n      if ((window['Plotly'] !== undefined) && (!(window['Plotly'] instanceof HTMLElement))) {\n        var urls = ['https://cdn.plot.ly/plotly-latest.min.js'];\n        for (var i = 0; i < urls.length; i++) {\n          skip.push(urls[i])\n        }\n      }\n      for (var i = 0; i < js_urls.length; i++) {\n        var url = js_urls[i];\n        if (skip.indexOf(url) >= 0) { on_load(); continue; }\n        var element = document.createElement('script');\n        element.onload = on_load;\n        element.onerror = on_error;\n        element.async = false;\n        element.src = url;\n        console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n        document.head.appendChild(element);\n      }\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://code.jquery.com/jquery-3.4.1.min.js\", \"https://cdn.plot.ly/plotly-latest.min.js\"];\n  var css_urls = [];\n\n  var inline_js = [\n    function(Bokeh) {\n      inject_raw_css(\"table.panel-df {\\n    margin-left: auto;\\n    margin-right: auto;\\n    border: none;\\n    border-collapse: collapse;\\n    border-spacing: 0;\\n    color: black;\\n    font-size: 12px;\\n    table-layout: fixed;\\n    width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n    text-align: right;\\n    vertical-align: middle;\\n    padding: 0.5em 0.5em !important;\\n    line-height: normal;\\n    white-space: normal;\\n    max-width: none;\\n    border: none;\\n}\\n\\n.panel-df tbody {\\n    display: table-row-group;\\n    vertical-align: middle;\\n    border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n    background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n    border-bottom: 1px solid black;\\n    vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n    background: lightblue !important;\\n    cursor: pointer;\\n}\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n  color: black;\\n  text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n  color: green;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n  color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n  color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n  color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n  color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n  background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: blue;\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n  color: #00008B;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n  color: white;\\n  text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n  color: #31F031;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n  color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n  color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n  color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n  color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n  color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n  background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: #027BFF;\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n  color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n  color: #23A0DB;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite  { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".panel-widget-box {\\n\\tmin-height: 20px;\\n\\tbackground-color: #f5f5f5;\\n\\tborder: 1px solid #e3e3e3 !important;\\n\\tborder-radius: 4px;\\n\\t-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\tbox-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\toverflow-x: hidden;\\n\\toverflow-y: hidden;\\n}\\n\\n.scrollable {\\n  overflow: scroll;\\n}\\n\\nprogress {\\n\\tappearance: none;\\n\\t-moz-appearance: none;\\n\\t-webkit-appearance: none;\\n\\n\\tborder: none;\\n\\theight: 20px;\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n\\tcolor: royalblue;\\n\\tposition: relative;\\n\\tmargin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n\\tposition: relative;\\n\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n\\tborder-radius:3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n\\tcontent:\\\" \\\";\\n\\tposition:absolute;\\n\\theight: 20px;\\n\\ttop:0;\\n\\tleft:0;\\n\\tright:0;\\n\\tbottom:0;\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n  from {background-position: 0%}\\n  to {background-position: 100%}\\n}\\n\");\n    },\n    function(Bokeh) {\n      /* BEGIN bokeh.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        const bokeh = factory();\n        if (root.Bokeh === undefined) {\n          root.Bokeh = bokeh;\n        }\n        const Bokeh = root.Bokeh;\n        Bokeh[bokeh.version] = bokeh;\n      })(this, function() {\n        var define;\n        var parent_require = typeof require === \"function\" && require\n        return (function(modules, entry, aliases, externals) {\n          if (aliases === undefined) aliases = {};\n          if (externals === undefined) externals = {};\n\n          var cache = {};\n\n          var normalize = function(name) {\n            if (typeof name === \"number\")\n              return name;\n\n            if (name === \"bokehjs\")\n              return entry;\n\n            var prefix = \"@bokehjs/\"\n            if (name.slice(0, prefix.length) === prefix)\n              name = name.slice(prefix.length)\n\n            var alias = aliases[name]\n            if (alias != null)\n              return alias;\n\n            var trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n            var index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n            if (index != null)\n              return index;\n\n            return name;\n          }\n\n          var require = function(name) {\n            var mod = cache[name];\n            if (!mod) {\n              var id = normalize(name);\n\n              mod = cache[id];\n              if (!mod) {\n                if (!modules[id]) {\n                  if (externals[id] === false || (externals[id] == true && parent_require)) {\n                    try {\n                      mod = {exports: externals[id] ? parent_require(id) : {}};\n                      cache[id] = cache[name] = mod;\n                      return mod.exports;\n                    } catch (e) {}\n                  }\n\n                  var err = new Error(\"Cannot find module '\" + name + \"'\");\n                  err.code = 'MODULE_NOT_FOUND';\n                  throw err;\n                }\n\n                mod = {exports: {}};\n                cache[id] = cache[name] = mod;\n                modules[id].call(mod.exports, require, mod, mod.exports);\n              } else\n                cache[name] = mod;\n            }\n\n            return mod.exports;\n          }\n\n          var main = require(entry);\n          main.require = require;\n\n          if (typeof Proxy !== \"undefined\") {\n            // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n            main.loader = new Proxy({}, {\n              get: function(_obj, module) {\n                return require(module);\n              }\n            });\n          }\n\n          main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n            if (plugin_aliases === undefined) plugin_aliases = {};\n            if (plugin_externals === undefined) plugin_externals = {};\n\n            for (var name in plugin_modules) {\n              modules[name] = plugin_modules[name];\n            }\n\n            for (var name in plugin_aliases) {\n              aliases[name] = plugin_aliases[name];\n            }\n\n            for (var name in plugin_externals) {\n              externals[name] = plugin_externals[name];\n            }\n\n            var plugin = require(plugin_entry);\n\n            for (var name in plugin) {\n              main[name] = plugin[name];\n            }\n\n            return plugin;\n          }\n\n          return main;\n        })\n      ([\n      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0}),e(1).__exportStar(e(2),_)},\n      function _(t,e,n){\n      /*! *****************************************************************************\n          Copyright (c) Microsoft Corporation. All rights reserved.\n          Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n          this file except in compliance with the License. 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models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=f.union(e,t.references());const t=new Set(this._all_models.values()),s=f.difference(t,e),o=f.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(i.logger.debug(\"Adding root: \"+e),!d.includes(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new v.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof w.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof v.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new 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e=[];for(const[t,s]of r)e.push([t,s,t.get_value()]);for(const[,t,s]of e)if(this._needs_invalidate(t,s)){n._invalidate_all_models();break}!0!==t.silent&&this._push_changes(e,t)}}getv(e){return this.property(e).get_value()}ref(){return{id:this.id}}struct(){const e={type:this.type,id:this.id,attributes:{}};return null!=this._subtype&&(e.subtype=this._subtype),e}set_subtype(e){this._subtype=e}*[Symbol.iterator](){for(const e in this.properties)yield this.properties[e]}*syncable_properties(){for(const e of this)e.syncable&&(yield e)}serializable_attributes(){const e={};for(const t of this.syncable_properties())e[t.attr]=t.get_value();return e}static _value_to_json(e){if(e instanceof y)return e.ref();if(p.is_NDArray(e))return d.encode_NDArray(e);if(h.isArray(e)||h.isTypedArray(e)){const t=e.length,s=new Array(t);for(let r=0;r<t;r++){const t=e[r];s[r]=y._value_to_json(t)}return s}if(h.isPlainObject(e)){const t={};for(const s in e)e.hasOwnProperty(s)&&(t[s]=y._value_to_json(e[s]));return t}return e}attributes_as_json(e=!0,t=y._value_to_json){const s={};for(const r of this)r.syncable&&(e||r.dirty)&&(s[r.attr]=t(r.get_value()));return s}static _json_record_references(e,t,s,r){const{recursive:n}=r;if(i.is_ref(t)){const r=e.get_model_by_id(t.id);null==r||s.has(r)||y._value_record_references(r,s,{recursive:n})}else if(h.isArray(t))for(const r of t)y._json_record_references(e,r,s,{recursive:n});else if(h.isPlainObject(t))for(const r in t)if(t.hasOwnProperty(r)){const i=t[r];y._json_record_references(e,i,s,{recursive:n})}}static _value_record_references(e,t,s){const{recursive:r}=s;if(e instanceof y){if(!t.has(e)&&(t.add(e),r)){const s=e._immediate_references();for(const e of s)y._value_record_references(e,t,{recursive:!0})}}else if(h.isArray(e))for(const s of e)y._value_record_references(s,t,{recursive:r});else if(h.isPlainObject(e))for(const s in e)if(e.hasOwnProperty(s)){const n=e[s];y._value_record_references(n,t,{recursive:r})}}_immediate_references(){const e=new Set;for(const t of this.syncable_properties()){const s=t.get_value();y._value_record_references(s,e,{recursive:!1})}return[...e.values()]}references(){const e=new Set;return y._value_record_references(this,e,{recursive:!0}),e}_doc_attached(){}_doc_detached(){}attach_document(e){if(null!=this.document&&this.document!=e)throw new Error(\"models must be owned by only a single document\");this.document=e,this._doc_attached()}detach_document(){this._doc_detached(),this.document=null}_needs_invalidate(e,t){const s=new Set;y._value_record_references(t,s,{recursive:!1});const r=new Set;y._value_record_references(e,r,{recursive:!1});for(const e of s)if(!r.has(e))return!0;for(const e of r)if(!s.has(e))return!0;return!1}_push_changes(e,t={}){const{document:s}=this;if(null==s)return;const{setter_id:r}=t,n=[];for(const[t,i,o]of e)t.syncable&&n.push(new l.ModelChangedEvent(s,this,t.attr,i,o,r));if(0!=n.length){let e;1==n.length?[e]=n:e=new l.DocumentEventBatch(s,n,r),s._trigger_on_change(e)}}materialize_dataspecs(e){const t={};for(const s of this){if(!(s instanceof o.VectorSpec))continue;if(s.optional&&null==s.spec.value&&!s.dirty)continue;const r=s.attr,n=s.array(e);t[\"_\"+r]=n,s instanceof o.DistanceSpec&&(t[\"max_\"+r]=_.max(n))}return t}on_change(e,t){for(const s of h.isArray(e)?e:[e])this.connect(s.change,t)}}s.HasProps=y,y.init_HasProps()},\n      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=n(15),l=n(9);class o{constructor(n,t){this.sender=n,this.name=t}connect(n,t=null){c.has(this.sender)||c.set(this.sender,[]);const e=c.get(this.sender);if(null!=u(e,this,n,t))return!1;const s=t||n;r.has(s)||r.set(s,[]);const l=r.get(s),o={signal:this,slot:n,context:t};return e.push(o),l.push(o),!0}disconnect(n,t=null){const e=c.get(this.sender);if(null==e||0===e.length)return!1;const s=u(e,this,n,t);if(null==s)return!1;const l=t||n,o=r.get(l);return s.signal=null,f(e),f(o),!0}emit(n){const 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_.isString(e)&&o.is_color(e)}}n.Color=v,v.__name__=\"Color\";class g extends p{}n.Instance=g,g.__name__=\"Instance\";class x extends p{valid(e){return _.isNumber(e)}}n.Number=x,x.__name__=\"Number\";class y extends x{valid(e){return _.isNumber(e)&&(0|e)==e}}n.Int=y,y.__name__=\"Int\";class f extends x{}n.Angle=f,f.__name__=\"Angle\";class P extends x{valid(e){return _.isNumber(e)&&0<=e&&e<=1}}n.Percent=P,P.__name__=\"Percent\";class A extends p{valid(e){return _.isString(e)}}n.String=A,A.__name__=\"String\";class L extends p{valid(e){return null===e||_.isString(e)}}n.NullString=L,L.__name__=\"NullString\";class T extends A{}n.FontSize=T,T.__name__=\"FontSize\";class b extends A{_default_override(){return c.settings.dev?\"Bokeh\":void 0}}n.Font=b,b.__name__=\"Font\";class M extends p{valid(e){return _.isString(e)&&r.includes(this.enum_values,e)}}function B(e){return class extends M{get enum_values(){return e}}}n.EnumProperty=M,M.__name__=\"EnumProperty\",n.Enum=B;class C extends M{get enum_values(){return s.Direction}normalize(e){const t=new Uint8Array(e.length);for(let n=0;n<e.length;n++)switch(e[n]){case\"clock\":t[n]=0;break;case\"anticlock\":t[n]=1}return 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N extends p{get_value(){return null===this.spec.value?null:this.spec}_update(e){d(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}}n.ScalarSpec=N,N.__name__=\"ScalarSpec\";class z extends N{}n.AnyScalar=z,z.__name__=\"AnyScalar\";class D extends N{}n.ColorScalar=D,D.__name__=\"ColorScalar\";class F extends N{}n.NumberScalar=F,F.__name__=\"NumberScalar\";class k extends N{}n.StringScalar=k,k.__name__=\"StringScalar\";class O extends N{}n.NullStringScalar=O,O.__name__=\"NullStringScalar\";class U extends N{}n.ArrayScalar=U,U.__name__=\"ArrayScalar\";class w extends N{}n.LineJoinScalar=w,w.__name__=\"LineJoinScalar\";class R extends N{}n.LineCapScalar=R,R.__name__=\"LineCapScalar\";class E extends N{}n.FontSizeScalar=E,E.__name__=\"FontSizeScalar\";class $ extends N{}n.FontStyleScalar=$,$.__name__=\"FontStyleScalar\";class H extends N{}n.TextAlignScalar=H,H.__name__=\"TextAlignScalar\";class j extends N{}n.TextBaselineScalar=j,j.__name__=\"TextBaselineScalar\";class I extends p{get_value(){return null===this.spec.value?null:this.spec}_update(e){d(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}array(e){let t;if(null!=this.spec.field){if(t=this.normalize(e.get_column(this.spec.field)),null==t)throw new Error(`attempted to retrieve property array for nonexistent field '${this.spec.field}'`)}else if(null!=this.spec.expr)t=this.normalize(this.spec.expr.v_compute(e));else{let n=e.get_length();null==n&&(n=1);const i=this.value(!1);t=r.repeat(i,n)}return null!=this.spec.transform&&(t=this.spec.transform.v_compute(t)),t}}n.VectorSpec=I,I.__name__=\"VectorSpec\";class J extends I{}n.DataSpec=J,J.__name__=\"DataSpec\";class V extends I{_update(e){super._update(e),null==this.spec.units&&(this.spec.units=this.default_units);const t=this.spec.units;if(!r.includes(this.valid_units,t))throw new Error(`units must be one of ${this.valid_units.join(\", \")}; 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i.color2css(this.line_color.value(),this.line_alpha.value())}}a.Line=p,p.__name__=\"Line\",p.prototype.attrs=Object.keys(c.LineVector);class v extends u{set_value(e){e.fillStyle=this.fill_color.value(),e.globalAlpha=this.fill_alpha.value()}get doit(){return!(null===this.fill_color.spec.value||0==this.fill_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"fill_color\",t),e.fillStyle=this.cache.fill_color,this.cache_select(\"fill_alpha\",t),e.globalAlpha=this.cache.fill_alpha}color_value(){return i.color2css(this.fill_color.value(),this.fill_alpha.value())}}a.Fill=v,v.__name__=\"Fill\",v.prototype.attrs=Object.keys(c.FillVector);class f extends u{cache_select(e,t){let a;if(\"pattern\"==e){this.cache_select(\"hatch_color\",t),this.cache_select(\"hatch_scale\",t),this.cache_select(\"hatch_pattern\",t),this.cache_select(\"hatch_weight\",t);const{hatch_color:e,hatch_scale:a,hatch_pattern:s,hatch_weight:c,hatch_extra:l}=this.cache;if(null!=l&&l.hasOwnProperty(s)){const t=l[s];this.cache.pattern=t.get_pattern(e,a,c)}else this.cache.pattern=t=>{const l=_(s,e,a,c);return t.createPattern(l,\"repeat\")}}else a=super.cache_select(e,t);return a}_try_defer(e){const{hatch_pattern:t,hatch_extra:a}=this.cache;if(null!=a&&a.hasOwnProperty(t)){a[t].onload(e)}}get doit(){return!(null===this.hatch_color.spec.value||0==this.hatch_alpha.spec.value||\" \"==this.hatch_pattern.spec.value||\"blank\"==this.hatch_pattern.spec.value||null===this.hatch_pattern.spec.value)}doit2(e,t,a,s){if(!this.doit)return;this.cache_select(\"pattern\",t),null==this.cache.pattern(e)?this._try_defer(s):(this.set_vectorize(e,t),a())}_set_vectorize(e,t){this.cache_select(\"pattern\",t),e.fillStyle=this.cache.pattern(e),this.cache_select(\"hatch_alpha\",t),e.globalAlpha=this.cache.hatch_alpha}color_value(){return i.color2css(this.hatch_color.value(),this.hatch_alpha.value())}}a.Hatch=f,f.__name__=\"Hatch\",f.prototype.attrs=Object.keys(c.HatchVector);class d extends u{color_value(){return i.color2css(this.text_color.value(),this.text_alpha.value())}font_value(){const e=this.text_font.value(),t=this.text_font_size.value();return`${this.text_font_style.value()} ${t} ${e}`}v_font_value(e){super.cache_select(\"text_font_style\",e),super.cache_select(\"text_font_size\",e),super.cache_select(\"text_font\",e);const{text_font_style:t,text_font_size:a,text_font:s}=this.cache;return`${t} ${a} ${s}`}cache_select(e,t){let a;return\"font\"==e?this.cache.font=a=this.v_font_value(t):a=super.cache_select(e,t),a}set_value(e){e.font=this.font_value(),e.fillStyle=this.text_color.value(),e.globalAlpha=this.text_alpha.value(),e.textAlign=this.text_align.value(),e.textBaseline=this.text_baseline.value()}get doit(){return!(null===this.text_color.spec.value||0==this.text_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"font\",t),e.font=this.cache.font,this.cache_select(\"text_color\",t),e.fillStyle=this.cache.text_color,this.cache_select(\"text_alpha\",t),e.globalAlpha=this.cache.text_alpha,this.cache_select(\"text_align\",t),e.textAlign=this.cache.text_align,this.cache_select(\"text_baseline\",t),e.textBaseline=this.cache.text_baseline}}a.Text=d,d.__name__=\"Text\",d.prototype.attrs=Object.keys(c.TextVector);class k{constructor(e){for(const t of e._mixins){const[a,s=\"\"]=t.split(\":\");let c;switch(a){case\"line\":c=p;break;case\"fill\":c=v;break;case\"hatch\":c=f;break;case\"text\":c=d;break;default:throw new Error(\"unknown visual: \"+a)}this[s+a]=new c(e,s)}}warm_cache(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&a.warm_cache(e)}}set_all_indices(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&(a.all_indices=e)}}}a.Visuals=k,k.__name__=\"Visuals\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),c=e(13),i=n.__importStar(e(18)),a=e(8),r=e(17),o=e(72);class l extends c.HasProps{constructor(e){super(e)}static init_Model(){this.define({tags:[i.Array,[]],name:[i.String],js_property_callbacks:[i.Any,{}],js_event_callbacks:[i.Any,{}],subscribed_events:[i.Array,[]]})}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,()=>this._update_property_callbacks()),this.connect(this.properties.js_event_callbacks.change,()=>this._update_event_callbacks()),this.connect(this.properties.subscribed_events.change,()=>this._update_event_callbacks())}_process_event(e){for(const t of this.js_event_callbacks[e.event_name]||[])t.execute(e);null!=this.document&&this.subscribed_events.some(t=>t==e.event_name)&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):o.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of r.entries(this.js_property_callbacks)){const n=s.map(e=>()=>e.execute(this));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){r.isEmpty(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if(a.isString(e))return[...this.references()].filter(t=>t instanceof l&&t.name===e);if(e.prototype instanceof c.HasProps)return[...this.references()].filter(t=>t instanceof e);throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=l,l.__name__=\"Model\",l.init_Model()},\n      function _(e,l,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(8),t={};class s{constructor(e,l){this.name=e,this.level=l}}o.LogLevel=s,s.__name__=\"LogLevel\";class g{constructor(e,l=g.INFO){this._name=e,this.set_level(l)}static get levels(){return Object.keys(g.log_levels)}static get(e,l=g.INFO){if(e.length>0){let o=t[e];return null==o&&(t[e]=o=new g(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof s)this._log_level=e;else{if(!n.isString(e)||null==g.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=g.log_levels[e]}const l=`[${this._name}]`;for(const e in g.log_levels){g.log_levels[e].level<this._log_level.level||this._log_level.level===g.OFF.level?this[e]=function(){}:this[e]=r(e,l)}}trace(...e){}debug(...e){}info(...e){}warn(...e){}error(...e){}}function r(e,l){return null!=console[e]?console[e].bind(console,l):null!=console.log?console.log.bind(console,l):function(){}}function i(e){const l=o.logger.level;return n.isString(e)&&null==g.log_levels[e]?(console.log(`[bokeh] unrecognized logging level '${e}' passed to Bokeh.set_log_level(), ignoring`),console.log(\"[bokeh] valid log levels are: \"+g.levels.join(\", \"))):(console.log(`[bokeh] setting log level to: '${n.isString(e)?e:e.level}'`),o.logger.set_level(e)),l}o.Logger=g,g.__name__=\"Logger\",g.TRACE=new s(\"trace\",0),g.DEBUG=new s(\"debug\",1),g.INFO=new s(\"info\",2),g.WARN=new s(\"warn\",6),g.ERROR=new s(\"error\",7),g.FATAL=new s(\"fatal\",8),g.OFF=new s(\"off\",9),g.log_levels={trace:g.TRACE,debug:g.DEBUG,info:g.INFO,warn:g.WARN,error:g.ERROR,fatal:g.FATAL,off:g.OFF},o.logger=g.get(\"bokeh\"),o.set_log_level=i,o.with_log_level=function(e,l){const o=i(e);try{l()}finally{i(o)}}},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-shading {\\n  position: absolute;\\n  display: block;\\n  border: 1px dashed green;\\n}\\n\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),a=t(31),n=t(75),r=t(76),o=t(23),_=i.__importStar(t(18)),l=t(10);class h extends a.AnnotationView{initialize(){super.initialize(),null==this.model.source&&(this.model.source=new r.ColumnDataSource),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.set_data(this.model.source)),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source))}set_data(t){super.set_data(t),this.visuals.warm_cache(t),this.plot_view.request_render()}_map_data(){const{frame:t}=this.plot_view;let e,s,i,a;return\"data\"==this.model.start_units?(e=t.xscales[this.model.x_range_name].v_compute(this._x_start),s=t.yscales[this.model.y_range_name].v_compute(this._y_start)):(e=t.xview.v_compute(this._x_start),s=t.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(i=t.xscales[this.model.x_range_name].v_compute(this._x_end),a=t.yscales[this.model.y_range_name].v_compute(this._y_end)):(i=t.xview.v_compute(this._x_end),a=t.yview.v_compute(this._y_end)),[[e,s],[i,a]]}render(){if(!this.model.visible)return;const{ctx:t}=this.layer;t.save();const[e,s]=this._map_data();null!=this.model.end&&this._arrow_head(t,\"render\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"render\",this.model.start,s,e),t.beginPath();const{x:i,y:a,width:n,height:r}=this.plot_view.frame.bbox;t.rect(i,a,n,r),null!=this.model.end&&this._arrow_head(t,\"clip\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"clip\",this.model.start,s,e),t.closePath(),t.clip(),this._arrow_body(t,e,s),t.restore()}_arrow_head(t,e,s,i,a){for(let n=0,r=this._x_start.length;n<r;n++){const r=Math.PI/2+l.atan2([i[0][n],i[1][n]],[a[0][n],a[1][n]]);t.save(),t.translate(a[0][n],a[1][n]),t.rotate(r),\"render\"==e?s.render(t,n):\"clip\"==e&&s.clip(t,n),t.restore()}}_arrow_body(t,e,s){if(this.visuals.line.doit)for(let i=0,a=this._x_start.length;i<a;i++)this.visuals.line.set_vectorize(t,i),t.beginPath(),t.moveTo(e[0][i],e[1][i]),t.lineTo(s[0][i],s[1][i]),t.stroke()}}s.ArrowView=h,h.__name__=\"ArrowView\";class d extends a.Annotation{constructor(t){super(t)}static init_Arrow(){this.prototype.default_view=h,this.mixins(o.LineVector),this.define({x_start:[_.NumberSpec],y_start:[_.NumberSpec],start_units:[_.SpatialUnits,\"data\"],start:[_.Instance,null],x_end:[_.NumberSpec],y_end:[_.NumberSpec],end_units:[_.SpatialUnits,\"data\"],end:[_.Instance,()=>new n.OpenHead({})],source:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]})}}s.Arrow=d,d.__name__=\"Arrow\",d.init_Arrow()},\n      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),o=i(31),l=i(70),n=i(23),h=t.__importStar(i(18));class a extends o.Annotation{constructor(i){super(i)}static init_ArrowHead(){this.define({size:[h.Number,25]})}initialize(){super.initialize(),this.visuals=new l.Visuals(this)}}s.ArrowHead=a,a.__name__=\"ArrowHead\",a.init_ArrowHead();class r extends a{constructor(i){super(i)}static init_OpenHead(){this.mixins(n.LineVector)}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,0),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.stroke())}}s.OpenHead=r,r.__name__=\"OpenHead\",r.init_OpenHead();class z extends a{constructor(i){super(i)}static init_NormalHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._normal(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._normal(i,e),i.stroke())}_normal(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.closePath()}}s.NormalHead=z,z.__name__=\"NormalHead\",z.init_NormalHead();class _ extends a{constructor(i){super(i)}static init_VeeHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._vee(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._vee(i,e),i.stroke())}_vee(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.closePath()}}s.VeeHead=_,_.__name__=\"VeeHead\",_.init_VeeHead();class c extends a{constructor(i){super(i)}static init_TeeHead(){this.mixins(n.LineVector)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,0),i.lineTo(-.5*this.size,0),i.stroke())}clip(i,e){}}s.TeeHead=c,c.__name__=\"TeeHead\",c.init_TeeHead()},\n      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(77),r=s.__importStar(t(18)),i=t(8),l=t(17),a=s.__importStar(t(103)),c=t(104),u=t(105);function h(t,n,e){if(i.isArray(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if(i.isTypedArray(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let i;t.length<e?(i=new t.constructor(e),i.set(t,0)):i=t;for(let t=o,n=r;t<n;t++)i[t-o]=i[t];for(let t=0,e=n.length;t<e;t++)i[t+(r-o)]=n[t];return i}{const e=new t.constructor(n);return a.concat(t,e)}}throw new Error(\"unsupported array types\")}function d(t,n){let e,s,o;return i.isNumber(t)?(e=t,o=t+1,s=1):(e=null!=t.start?t.start:0,o=null!=t.stop?t.stop:n,s=null!=t.step?t.step:1),[e,o,s]}function m(t,n){const e=new Set;let s=!1;for(const[o,r]of n){let n,l,a,c;if(i.isArray(o)){const[s]=o;e.add(s),n=t[s].shape,l=t[s],c=r,2===o.length?(n=[1,n[0]],a=[o[0],0,o[1]]):a=o}else i.isNumber(o)?(c=[r],e.add(o)):(c=r,s=!0),a=[0,0,o],n=[1,t.length],l=t;let u=0;const[h,m,f]=d(a[1],n[0]),[_,p,g]=d(a[2],n[1]);for(let t=h;t<m;t+=f)for(let o=_;o<p;o+=g)s&&e.add(o),l[t*n[1]+o]=c[u],u++}return e}e.stream_to_column=h,e.slice=d,e.patch_to_column=m;class f extends o.ColumnarDataSource{constructor(t){super(t)}static init_ColumnDataSource(){this.define({data:[r.Any,{}]})}stream(t,n,e){const{data:s}=this;for(const e in t)s[e]=h(s[e],t[e],n);if(this.setv({data:s},{silent:!0}),this.streaming.emit(),null!=this.document){const s=new u.ColumnsStreamedEvent(this.document,this.ref(),t,n);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:s})}}patch(t,n){const{data:e}=this;let s=new Set;for(const[n,o]of l.entries(t))s=c.union(s,m(e[n],o));if(this.setv({data:e},{silent:!0}),this.patching.emit([...s]),null!=this.document){const e=new u.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:e})}}}e.ColumnDataSource=f,f.__name__=\"ColumnDataSource\",f.init_ColumnDataSource()},\n      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(78),i=t(14),r=t(72),c=t(80),l=a.__importStar(t(18)),o=t(8),u=t(9),h=t(17),g=t(79),_=t(102);class d extends s.DataSource{constructor(t){super(t)}get_array(t){let n=this.data[t];return null==n?this.data[t]=n=[]:o.isArray(n)||(this.data[t]=n=Array.from(n)),n}static init_ColumnarDataSource(){this.define({selection_policy:[l.Instance,()=>new _.UnionRenderers]}),this.internal({selection_manager:[l.Instance,t=>new c.SelectionManager({source:t})],inspected:[l.Instance,()=>new g.Selection]})}initialize(){super.initialize(),this._select=new i.Signal0(this,\"select\"),this.inspect=new i.Signal(this,\"inspect\"),this.streaming=new i.Signal0(this,\"streaming\"),this.patching=new i.Signal(this,\"patching\")}get_column(t){const n=this.data[t];return null!=n?n:null}columns(){return h.keys(this.data)}get_length(t=!0){const n=u.uniq(h.values(this.data).map(t=>t.length));switch(n.length){case 0:return null;case 1:return n[0];default:{const e=\"data source has columns of inconsistent lengths\";if(t)return r.logger.warn(e),n.sort()[0];throw new Error(e)}}}get_indices(){const t=this.get_length();return u.range(0,null!=t?t:1)}clear(){const t={};for(const n of this.columns())t[n]=new this.data[n].constructor(0);this.data=t}}e.ColumnarDataSource=d,d.__name__=\"ColumnarDataSource\",d.init_ColumnarDataSource()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const c=e(1),n=e(71),o=e(79),i=c.__importStar(e(18));class r extends n.Model{constructor(e){super(e)}static init_DataSource(){this.define({selected:[i.Instance,()=>new o.Selection]})}}a.DataSource=r,r.__name__=\"DataSource\",r.init_DataSource()},\n      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),l=t.__importStar(i(18)),c=i(9),_=i(17);class h extends n.Model{constructor(i){super(i)}static init_Selection(){this.define({indices:[l.Array,[]],line_indices:[l.Array,[]],multiline_indices:[l.Any,{}]}),this.internal({selected_glyphs:[l.Array,[]],get_view:[l.Any],image_indices:[l.Array,[]]})}initialize(){super.initialize(),this.get_view=()=>null}static from_hits(i){const e=c.sort_by(i,([,i])=>i).map(([i])=>i);return new h({indices:e})}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.get_view=i.get_view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.get_view=()=>null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=c.union(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=c.intersection(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=c.difference(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=h,h.__name__=\"Selection\",h.init_Selection()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(13),o=e(79),c=e(81),r=e(100),l=i.__importStar(e(18));class p extends n.HasProps{constructor(e){super(e),this.inspectors=new Map}static init_SelectionManager(){this.internal({source:[l.Any]})}select(e,t,s,i=\"replace\"){const n=[],o=[];for(const t of e)t instanceof c.GlyphRendererView?n.push(t):t instanceof r.GraphRendererView&&o.push(t);let l=!1;for(const e of o){const n=e.model.selection_policy.hit_test(t,e);l=l||e.model.selection_policy.do_selection(n,e.model,s,i)}if(n.length>0){const e=this.source.selection_policy.hit_test(t,n);l=l||this.source.selection_policy.do_selection(e,this.source,s,i)}return l}inspect(e,t){let s=!1;if(e instanceof c.GlyphRendererView){const i=e.hit_test(t);if(null!=i){s=!i.is_empty();const n=this.get_or_create_inspector(e.model);n.update(i,!0,\"replace\"),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof r.GraphRendererView){const i=e.model.inspection_policy.hit_test(t,e);s=s||e.model.inspection_policy.do_inspection(i,t,e,!1,\"replace\")}return s}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new o.Selection,this.inspectors.set(e,t)),t}}s.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(82),n=e(83),h=e(94),o=e(95),a=e(97),_=e(98),c=e(72),r=s.__importStar(e(18)),d=e(12),g=e(9),p=e(17),y=e(99),u=e(90),m={fill:{},line:{}},v={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},f={fill:{fill_alpha:.2},line:{}};class w extends l.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model.glyph,t=g.includes(e._mixins,\"fill\"),i=g.includes(e._mixins,\"line\"),s=p.clone(e.attributes);function l(l){const n=p.clone(s);return t&&p.extend(n,l.fill),i&&p.extend(n,l.line),new e.constructor(n)}delete s.id,this.glyph=await this.build_glyph_view(e);let{selection_glyph:n}=this.model;null==n?n=l({fill:{},line:{}}):\"auto\"===n&&(n=l(m)),this.selection_glyph=await this.build_glyph_view(n);let{nonselection_glyph:h}=this.model;null==h?h=l({fill:{},line:{}}):\"auto\"===h&&(h=l(f)),this.nonselection_glyph=await this.build_glyph_view(h);const{hover_glyph:o}=this.model;null!=o&&(this.hover_glyph=await this.build_glyph_view(o));const{muted_glyph:a}=this.model;null!=a&&(this.muted_glyph=await this.build_glyph_view(a));const _=l(v);this.decimated_glyph=await this.build_glyph_view(_),this.xscale=this.plot_view.frame.xscales[this.model.x_range_name],this.yscale=this.plot_view.frame.yscales[this.model.y_range_name],this.set_data(!1)}async build_glyph_view(e){return y.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.glyph.change,()=>this.set_data()),this.connect(this.model.data_source.change,()=>this.set_data()),this.connect(this.model.data_source.streaming,()=>this.set_data()),this.connect(this.model.data_source.patching,e=>this.set_data(!0,e)),this.connect(this.model.data_source.selected.change,()=>this.request_render()),this.connect(this.model.data_source._select,()=>this.request_render()),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,()=>this.request_render()),this.connect(this.model.properties.view.change,()=>this.set_data()),this.connect(this.model.view.change,()=>this.set_data()),this.connect(this.model.properties.visible.change,()=>this.plot_view.update_dataranges());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const i=e[t];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}for(const e in t){const i=t[e];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}this.connect(this.model.glyph.transformchange,()=>this.set_data())}have_selection_glyphs(){return null!=this.selection_glyph&&null!=this.nonselection_glyph}set_data(e=!0,t=null){const i=Date.now(),s=this.model.data_source;this.all_indices=this.model.view.indices,this.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.glyph.set_data(s,this.all_indices,t),this.glyph.set_visuals(s,this.all_indices),this.decimated_glyph.set_visuals(s,this.all_indices),this.have_selection_glyphs()&&(this.selection_glyph.set_visuals(s,this.all_indices),this.nonselection_glyph.set_visuals(s,this.all_indices)),null!=this.hover_glyph&&this.hover_glyph.set_visuals(s,this.all_indices),null!=this.muted_glyph&&this.muted_glyph.set_visuals(s,this.all_indices);const{lod_factor:l}=this.plot_model;this.decimated=[];for(let e=0,t=Math.floor(this.all_indices.length/l);e<t;e++)this.decimated.push(e*l);const n=Date.now()-i;c.logger.debug(`${this.glyph.model.type} ${this.model}): set_data finished in ${n}ms`),this.set_data_timestamp=Date.now(),e&&this.request_render()}get has_webgl(){return this.glyph.has_webgl}render(){if(!this.model.visible)return;const e=Date.now(),t=this.has_webgl;this.glyph.map_data();const i=Date.now()-e,s=Date.now();let l=this.glyph.mask_data(this.all_indices);l.length===this.all_indices.length&&(l=g.range(0,this.all_indices.length));const _=Date.now()-s,{ctx:r}=this.layer;r.save();const{selected:p}=this.model.data_source;let y;y=!p||p.is_empty()?[]:this.glyph instanceof n.LineView&&p.selected_glyph===this.glyph.model?this.model.view.convert_indices_from_subset(l):p.indices;const{inspected:u}=this.model.data_source,m=new Set((()=>!u||u.is_empty()?[]:u.selected_glyph?this.model.view.convert_indices_from_subset(l):u.indices.length>0?u.indices:Object.keys(u.multiline_indices).map(e=>parseInt(e)))()),v=d.filter(l,e=>m.has(this.all_indices[e])),{lod_threshold:f}=this.plot_model;let w,b,x;null!=this.model.document&&this.model.document.interactive_duration()>0&&!t&&null!=f&&this.all_indices.length>f?(l=this.decimated,w=this.decimated_glyph,b=this.decimated_glyph,x=this.selection_glyph):(w=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,b=this.nonselection_glyph,x=this.selection_glyph),null!=this.hover_glyph&&v.length&&(l=g.difference(l,v));let D,V=null;if(y.length&&this.have_selection_glyphs()){const e=Date.now(),t={};for(const e of y)t[e]=!0;const i=new Array,s=new Array;if(this.glyph instanceof n.LineView)for(const e of this.all_indices)null!=t[e]?i.push(e):s.push(e);else for(const e of l)null!=t[this.all_indices[e]]?i.push(e):s.push(e);V=Date.now()-e,D=Date.now(),b.render(r,s,this.glyph),x.render(r,i,this.glyph),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):this.hover_glyph.render(r,v,this.glyph))}else if(D=Date.now(),this.glyph instanceof n.LineView)this.hover_glyph&&v.length?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):w.render(r,this.all_indices,this.glyph);else if(this.glyph instanceof h.PatchView||this.glyph instanceof o.HAreaView||this.glyph instanceof a.VAreaView)if(0==u.selected_glyphs.length||null==this.hover_glyph)w.render(r,this.all_indices,this.glyph);else for(const e of u.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(r,this.all_indices,this.glyph);else w.render(r,l,this.glyph),this.hover_glyph&&v.length&&this.hover_glyph.render(r,v,this.glyph);const R=Date.now()-D;this.last_dtrender=R;const $=Date.now()-e;c.logger.debug(`${this.glyph.model.type} ${this.model}: render finished in ${$}ms`),c.logger.trace(` - map_data finished in       : ${i}ms`),c.logger.trace(` - mask_data finished in      : ${_}ms`),null!=V&&c.logger.trace(` - selection mask finished in : ${V}ms`),c.logger.trace(` - glyph renders finished in  : ${R}ms`),r.restore()}draw_legend(e,t,i,s,l,n,h,o){null==o&&(o=this.model.get_reference_point(n,h)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o)}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=w,w.__name__=\"GlyphRendererView\";class b extends l.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=w,this.define({data_source:[r.Instance],view:[r.Instance,()=>new _.CDSView],glyph:[r.Instance],hover_glyph:[r.Instance],nonselection_glyph:[r.Any,\"auto\"],selection_glyph:[r.Any,\"auto\"],muted_glyph:[r.Instance],muted:[r.Boolean,!1]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){let i=0;if(null!=e){const s=this.data_source.get_column(e);if(null!=s){const e=d.indexOf(s,t);-1!=e&&(i=e)}}return i}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=b,b.__name__=\"GlyphRenderer\",b.init_GlyphRenderer()},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),a=e(65),_=t.__importStar(e(18));class i extends a.RendererView{}n.DataRendererView=i,i.__name__=\"DataRendererView\";class d extends a.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.define({x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"glyph\"})}}n.DataRenderer=d,d.__name__=\"DataRenderer\",d.init_DataRenderer()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),_=e(92),l=s.__importStar(e(23)),o=s.__importStar(e(93)),r=e(79);class h extends n.XYGlyphView{_render(e,t,{sx:i,sy:s}){let n=!1,_=null;this.visuals.line.set_value(e);for(const l of t){if(n){if(!isFinite(i[l]+s[l])){e.stroke(),e.beginPath(),n=!1,_=l;continue}null!=_&&l-_>1&&(e.stroke(),n=!1)}n?e.lineTo(i[l],s[l]):(e.beginPath(),e.moveTo(i[l],s[l]),n=!0),_=l}n&&e.stroke()}_hit_point(e){const t=new r.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.visuals.line.line_width.value()/2);for(let e=0,_=this.sx.length-1;e<_;e++){const _={x:this.sx[e],y:this.sy[e]},l={x:this.sx[e+1],y:this.sy[e+1]},r=o.dist_to_segment(i,_,l);r<n&&r<s&&(s=r,t.add_to_selected_glyphs(this.model),t.get_view=()=>this,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=new r.Selection;let n,_;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),_=this._y):(n=this.renderer.xscale.invert(t),_=this._x);for(let e=0,t=_.length-1;e<t;e++)(_[e]<=n&&n<=_[e+1]||_[e+1]<=n&&n<=_[e])&&(s.add_to_selected_glyphs(this.model),s.get_view=()=>this,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return _.line_interpolation(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){_.generic_line_legend(this.visuals,e,t,i)}}i.LineView=h,h.__name__=\"LineView\";class a extends n.XYGlyph{constructor(e){super(e)}static init_Line(){this.prototype.default_view=h,this.mixins(l.Line)}}i.Line=a,a.__name__=\"Line\",a.init_Line()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(85),n=e(89);class _ extends n.GlyphView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y[t];!isNaN(s+i)&&isFinite(s+i)&&e.push({x0:s,y0:i,x1:s,y1:i,i:t})}return new i.SpatialIndex(e)}scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}}s.XYGlyphView=_,_.__name__=\"XYGlyphView\";class h extends n.Glyph{constructor(e){super(e)}static init_XYGlyph(){this.coords([[\"x\",\"y\"]])}}s.XYGlyph=h,h.__name__=\"XYGlyph\",h.init_XYGlyph()},\n      function _(n,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=n(1).__importDefault(n(86)),s=n(88);class r{constructor(n){if(this.points=n,this.index=null,n.length>0){this.index=new e.default(n.length);for(const t of n){const{x0:n,y0:i,x1:e,y1:s}=t;this.index.add(n,i,e,s)}this.index.finish()}}_normalize(n){let{x0:t,y0:i,x1:e,y1:s}=n;return t>e&&([t,e]=[e,t]),i>s&&([i,s]=[s,i]),{x0:t,y0:i,x1:e,y1:s}}get bbox(){if(null==this.index)return s.empty();{const{minX:n,minY:t,maxX:i,maxY:e}=this.index;return{x0:n,y0:t,x1:i,y1:e}}}search(n){if(null==this.index)return[];{const{x0:t,y0:i,x1:e,y1:s}=this._normalize(n);return this.index.search(t,i,e,s).map(n=>this.points[n])}}indices(n){return this.search(n).map(({i:n})=>n)}}i.SpatialIndex=r,r.__name__=\"SpatialIndex\"},\n      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1).__importDefault(t(87)),h=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class n{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[o]=new Uint32Array(t,4,1);return new n(o,e,h[15&i],t)}constructor(t,s=16,i=Float64Array,n){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let o=t,r=o;this._levelBounds=[4*o];do{o=Math.ceil(o/this.nodeSize),r+=o,this._levelBounds.push(4*r)}while(1!==o);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=h.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);n&&n instanceof ArrayBuffer?(this.data=n,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new e.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,t<this.minX&&(this.minX=t),s<this.minY&&(this.minY=s),i>this.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e<this.numItems;e++){let h=4*e;const n=this._boxes[h++],o=this._boxes[h++],r=this._boxes[h++],a=this._boxes[h++],d=Math.floor(65535*((n+r)/2-this.minX)/t),x=Math.floor(65535*((o+a)/2-this.minY)/s);i[e]=_(d,x)}!function t(s,i,e,h,n,o){if(Math.floor(h/o)>=Math.floor(n/o))return;const r=s[h+n>>1];let _=h-1,d=n+1;for(;;){do{_++}while(s[_]<r);do{d--}while(s[d]>r);if(_>=d)break;a(s,i,e,_,d)}t(s,i,e,h,d,o),t(s,i,e,d+1,n,o)}(i,this._boxes,this._indices,0,this.numItems-1,this.nodeSize);for(let t=0,s=0;t<this._levelBounds.length-1;t++){const i=this._levelBounds[t];for(;s<i;){const t=s;let e=1/0,h=1/0,n=-1/0,o=-1/0;for(let t=0;t<this.nodeSize&&s<i;t++)e=Math.min(e,this._boxes[s++]),h=Math.min(h,this._boxes[s++]),n=Math.max(n,this._boxes[s++]),o=Math.max(o,this._boxes[s++]);this._indices[this._pos>>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],a=[];for(;void 0!==n;){const _=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let r=n;r<_;r+=4){const _=0|this._indices[r>>2];i<this._boxes[r]||(e<this._boxes[r+1]||t>this._boxes[r+2]||s>this._boxes[r+3]||(n<4*this.numItems?(void 0===h||h(_))&&a.push(_):o.push(_)))}n=o.pop()}return a}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const a=this._queue,_=[],d=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let i=n;i<e;i+=4){const e=0|this._indices[i>>2],r=o(t,this._boxes[i],this._boxes[i+2]),_=o(s,this._boxes[i+1],this._boxes[i+3]),d=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&a.push(-e-1,d):a.push(e,d)}for(;a.length&&a.peek()<0;){if(a.peekValue()>d)return a.clear(),_;if(_.push(-a.pop()-1),_.length===i)return a.clear(),_}n=a.pop()}return a.clear(),_}}function o(t,s,i){return t<s?s-t:t<=i?0:t-i}function r(t,s){let i=0,e=s.length-1;for(;i<e;){const h=i+e>>1;s[h]>t?e=h:i=h+1}return s[i]}function a(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],d=s[o+2],x=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=d,s[r+3]=x;const l=i[e];i[e]=i[h],i[h]=l}function _(t,s){let 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super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e){let s=null;try{s=await Promise.resolve().then(()=>i.__importStar(t(371)))}catch(t){if(\"MODULE_NOT_FOUND\"!==t.code)throw t;h.logger.warn(\"WebGL was requested and is supported, but bokeh-gl(.min).js is not available, falling back to 2D rendering.\")}if(null!=s){const t=s[this.model.type+\"GLGlyph\"];null!=t&&(this.glglyph=new t(e.gl,this))}}}set_visuals(t,e){this.visuals.set_all_indices(e),this.visuals.warm_cache(t),null!=this.glglyph&&this.glglyph.set_visuals_changed()}render(t,e,s){t.beginPath(),null!=this.glglyph&&this.glglyph.render(t,e,s)||this._render(t,e,s)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(t){return t}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const t=r.empty(),e=this.index.search(r.positive_x());for(const s of e)s.x0<t.x0&&(t.x0=s.x0),s.x1>t.x1&&(t.x1=s.x1);const s=this.index.search(r.positive_y());for(const e of s)e.y0<t.y0&&(t.y0=e.y0),e.y1>t.y1&&(t.y1=e.y1);return this._bounds(t)}get_anchor_point(t,e,[s,i]){switch(t){case\"center\":return{x:this.scenterx(e,s,i),y:this.scentery(e,s,i)};default:return null}}sdist(t,e,s,i=\"edge\",n=!1){let r,a;const _=e.length;if(\"center\"==i){const t=c.map(s,t=>t/2);r=new Float64Array(_);for(let s=0;s<_;s++)r[s]=e[s]-t[s];a=new Float64Array(_);for(let s=0;s<_;s++)a[s]=e[s]+t[s]}else{r=e,a=new Float64Array(_);for(let t=0;t<_;t++)a[t]=r[t]+s[t]}const l=t.v_compute(r),o=t.v_compute(a);return n?c.map(l,(t,e)=>Math.ceil(Math.abs(o[e]-l[e]))):c.map(l,(t,e)=>Math.abs(o[e]-l[e]))}draw_legend_for_index(t,e,s){}hit_test(t){switch(t.type){case\"point\":if(null!=this._hit_point)return this._hit_point(t);break;case\"span\":if(null!=this._hit_span)return this._hit_span(t);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(t);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(t)}return this._nohit_warned.has(t.type)||(h.logger.debug(`'${t.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(t.type)),null}_hit_rect_against_index(t){const{sx0:e,sx1:s,sy0:i,sy1:n}=t,[r,a]=this.renderer.xscale.r_invert(e,s),[_,l]=this.renderer.yscale.r_invert(i,n),o=this.index.indices({x0:r,x1:a,y0:_,y1:l});return new g.Selection({indices:o})}set_data(t,e,s){let i=this.model.materialize_dataspecs(t);if(e&&!(this instanceof y.LineView)){const t={};for(const s in i){const n=i[s];\"_\"===s.charAt(0)?t[s]=e.map(t=>n[t]):t[s]=n}i=t}const n=this;if(d.extend(n,i),this.renderer.plot_view.model.use_map&&(null!=n._x&&([n._x,n._y]=a.project_xy(n._x,n._y)),null!=n._xs&&([n._xs,n._ys]=a.project_xsys(n._xs,n._ys)),null!=n._x0&&([n._x0,n._y0]=a.project_xy(n._x0,n._y0)),null!=n._x1&&([n._x1,n._y1]=a.project_xy(n._x1,n._y1))),null!=this.renderer.plot_view.frame.x_ranges){const t=this.renderer.plot_view.frame.x_ranges[this.model.x_range_name],e=this.renderer.plot_view.frame.y_ranges[this.model.y_range_name];for(let[s,i]of this.model._coords)s=\"_\"+s,i=\"_\"+i,null!=n._xs?(t instanceof u.FactorRange&&(n[s]=c.map(n[s],e=>t.v_synthetic(e))),e instanceof u.FactorRange&&(n[i]=c.map(n[i],t=>e.v_synthetic(t)))):(t instanceof u.FactorRange&&(n[s]=t.v_synthetic(n[s])),e instanceof u.FactorRange&&(n[i]=e.v_synthetic(n[i])))}null!=this.glglyph&&this.glglyph.set_data_changed(n._x.length),this._set_data(s),this.index_data()}_set_data(t){}index_data(){this.index=this._index_data()}mask_data(t){return null!=this.glglyph||null==this._mask_data?t:this._mask_data()}map_data(){const t=this;for(let[e,s]of this.model._coords){const i=\"s\"+e,n=\"s\"+s;if(e=\"_\"+e,s=\"_\"+s,null!=t[e]&&(p.isArray(t[e][0])||p.isTypedArray(t[e][0]))){const r=t[e].length;t[i]=new Array(r),t[n]=new Array(r);for(let a=0;a<r;a++){const[r,_]=this.map_to_screen(t[e][a],t[s][a]);t[i][a]=r,t[n][a]=_}}else[t[i],t[n]]=this.map_to_screen(t[e],t[s])}this._map_data()}_map_data(){}map_to_screen(t,e){return this.renderer.plot_view.map_to_screen(t,e,this.model.x_range_name,this.model.y_range_name)}}s.GlyphView=x,x.__name__=\"GlyphView\";class m extends o.Model{constructor(t){super(t)}static init_Glyph(){this.prototype._coords=[],this.internal({x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"]})}static coords(t){const e=this.prototype._coords.concat(t);this.prototype._coords=e;const s={};for(const[e,i]of t)s[e]=[n.CoordinateSpec],s[i]=[n.CoordinateSpec];this.define(s)}}s.Glyph=m,m.__name__=\"Glyph\",m.init_Glyph()},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=t(1),i=t(91),r=s.__importStar(t(18)),a=t(12),o=t(9),p=t(8),g=t(11);function c(t,e,n=0){const s=new Map;for(let i=0;i<t.length;i++){const r=t[i];if(s.has(r))throw new Error(\"duplicate factor or subfactor: \"+r);s.set(r,{value:.5+i*(1+e)+n})}return[s,(t.length-1)*e]}function l(t,e,n,s=0){var i;const r=new Map,a=new Map;for(const[e,n]of t){const t=null!==(i=a.get(e))&&void 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max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,()=>this.reset()),this.connect(this.properties.factor_padding.change,()=>this.reset()),this.connect(this.properties.group_padding.change,()=>this.reset()),this.connect(this.properties.subgroup_padding.change,()=>this.reset()),this.connect(this.properties.range_padding.change,()=>this.reset()),this.connect(this.properties.range_padding_units.change,()=>this.reset())}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[e]=t,n=this._mapping.get(e);return null!=n?n.value:NaN}case 2:{const[e,n]=t,s=this._mapping.get(e);if(null!=s){const t=s.mapping.get(n);if(null!=t)return t.value}return NaN}case 3:{const[e,n,s]=t,i=this._mapping.get(e);if(null!=i){const t=i.mapping.get(n);if(null!=t){const e=t.mapping.get(s);if(null!=e)return e.value}}return NaN}default:g.unreachable()}}synthetic(t){if(p.isNumber(t))return t;if(p.isString(t))return this._lookup([t]);let e=0;const n=t[t.length-1];return p.isNumber(n)&&(e=n,t=t.slice(0,-1)),this._lookup(t)+e}v_synthetic(t){return a.map(t,t=>this.synthetic(t))}_init(t){const{levels:e,mapping:n,tops:s,mids:i,inside_padding:r}=(()=>{if(o.every(this.factors,p.isString)){const t=this.factors,[e,n]=c(t,this.factor_padding);return{levels:1,mapping:e,tops:null,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&2==t.length&&p.isString(t[0])&&p.isString(t[1]))){const t=this.factors,[e,n]=l(t,this.group_padding,this.factor_padding),s=[...e.keys()];return{levels:2,mapping:e,tops:s,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&3==t.length&&p.isString(t[0])&&p.isString(t[1])&&p.isString(t[2]))){const t=this.factors,[e,n]=u(t,this.group_padding,this.subgroup_padding,this.factor_padding),s=[...e.keys()],i=[];for(const[t,n]of e)for(const e of n.mapping.keys())i.push([t,e]);return{levels:3,mapping:e,tops:s,mids:i,inside_padding:n}}g.unreachable()})();this._mapping=n,this.tops=s,this.mids=i;let a=0,h=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(h-a)*this.range_padding/2;a-=t,h+=t}else a-=this.range_padding,h+=this.range_padding;this.setv({start:a,end:h,levels:e},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,h]},{silent:!0})}}n.FactorRange=h,h.__name__=\"FactorRange\",h.init_FactorRange()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(71),r=i.__importStar(e(18));class s extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define({bounds:[r.Any],min_interval:[r.Any],max_interval:[r.Any]}),this.internal({plots:[r.Array,[]]})}get is_reversed(){return this.start>this.end}}n.Range=s,s.__name__=\"Range\",s.init_Range()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1).__importStar(e(93));i.generic_line_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){t.save(),t.beginPath(),t.moveTo(i,(c+o)/2),t.lineTo(n,(c+o)/2),e.line.doit&&(e.line.set_vectorize(t,r),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){const l=.1*Math.abs(n-i),a=.1*Math.abs(o-c),s=i+l,_=n-l,h=c+a,v=o-a;e.fill.doit&&(e.fill.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(s,h,_-s,v-h),e.line.set_vectorize(t,r),t.stroke())},i.line_interpolation=function(e,t,i,c,o,r){const{sx:l,sy:a}=t;let s,_,h,v;\"point\"==t.type?([h,v]=e.yscale.r_invert(a-1,a+1),[s,_]=e.xscale.r_invert(l-1,l+1)):\"v\"==t.direction?([h,v]=e.yscale.r_invert(a,a),[s,_]=[Math.min(i-1,o-1),Math.max(i+1,o+1)]):([s,_]=e.xscale.r_invert(l,l),[h,v]=[Math.min(c-1,r-1),Math.max(c+1,r+1)]);const{x,y}=n.check_2_segments_intersect(s,h,_,v,i,c,o,r);return[x,y]}},\n      function _(t,n,e){function i(t){return t*t}function o(t,n){return i(t.x-n.x)+i(t.y-n.y)}function r(t,n,e){const i=o(n,e);if(0==i)return o(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;return o(t,r<0?n:r>1?e:{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}Object.defineProperty(e,\"__esModule\",{value:!0}),e.point_in_poly=function(t,n,e,i){let o=!1,r=e[e.length-1],s=i[i.length-1];for(let u=0;u<e.length;u++){const c=e[u],_=i[u];s<n!=_<n&&r+(n-s)/(_-s)*(c-r)<t&&(o=!o),r=c,s=_}return o},e.point_in_ellipse=function(t,n,e,i,o,r,s){return((Math.cos(e)/o)**2+(Math.sin(e)/i)**2)*(t-r)**2+2*Math.cos(e)*Math.sin(e)*((1/o)**2-(1/i)**2)*(t-r)*(n-s)+((Math.cos(e)/i)**2+(Math.sin(e)/o)**2)*(n-s)**2<=1},e.dist_2_pts=o,e.dist_to_segment_squared=r,e.dist_to_segment=function(t,n,e){return Math.sqrt(r(t,n,e))},e.check_2_segments_intersect=function(t,n,e,i,o,r,s,u){const c=(u-r)*(e-t)-(s-o)*(i-n);if(0==c)return{hit:!1,x:null,y:null};{let _=n-r,l=t-o;const y=(e-t)*_-(i-n)*l;return _=((s-o)*_-(u-r)*l)/c,l=y/c,{hit:_>0&&_<1&&l>0&&l<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),l=e(84),_=e(92),n=s.__importStar(e(93)),o=s.__importStar(e(23)),a=e(79);class h extends l.XYGlyphView{_inner_loop(e,i,t,s,l){for(const _ of i)0!=_?isNaN(t[_]+s[_])?(e.closePath(),l.apply(e),e.beginPath()):e.lineTo(t[_],s[_]):(e.beginPath(),e.moveTo(t[_],s[_]));e.closePath(),l.call(e)}_render(e,i,{sx:t,sy:s}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner_loop(e,i,t,s,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner_loop(e,i,t,s,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_value(e),this._inner_loop(e,i,t,s,e.stroke))}draw_legend_for_index(e,i,t){_.generic_area_legend(this.visuals,e,i,t)}_hit_point(e){const i=new a.Selection;return n.point_in_poly(e.sx,e.sy,this.sx,this.sy)&&(i.add_to_selected_glyphs(this.model),i.get_view=()=>this),i}}t.PatchView=h,h.__name__=\"PatchView\";class r extends l.XYGlyph{constructor(e){super(e)}static init_Patch(){this.prototype.default_view=h,this.mixins([o.Line,o.Fill,o.Hatch])}}t.Patch=r,r.__name__=\"Patch\",r.init_Patch()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x1.length;t<s;t++){const s=this._x1[t],i=this._x2[t],r=this._y[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:Math.min(s,i),y0:r,x1:Math.max(s,i),y1:r,i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let s=0,r=t.length;s<r;s++)e.lineTo(t[s],i[s]);for(let t=s.length-1;t>=0;t--)e.lineTo(s[t],i[t]);e.closePath(),r.call(e)}_render(e,t,{sx1:s,sx2:i,sy:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}_hit_point(e){const t=this.sy.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx1[e],i[e]=this.sy[e],s[t+e]=this.sx2[t-e-1],i[t+e]=this.sy[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}scenterx(e){return(this.sx1[e]+this.sx2[e])/2}scentery(e){return this.sy[e]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}s.HAreaView=l,l.__name__=\"HAreaView\";class o extends r.Area{constructor(e){super(e)}static init_HArea(){this.prototype.default_view=l,this.define({x1:[_.CoordinateSpec],x2:[_.CoordinateSpec],y:[_.CoordinateSpec]})}}s.HArea=o,o.__name__=\"HArea\",o.init_HArea()},\n      function _(e,_,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(1),r=e(89),t=e(92),n=a.__importStar(e(23));class s extends r.GlyphView{draw_legend_for_index(e,_,i){t.generic_area_legend(this.visuals,e,_,i)}}i.AreaView=s,s.__name__=\"AreaView\";class c extends r.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([n.Fill,n.HatchVector])}}i.Area=c,c.__name__=\"Area\",c.init_Area()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y1[t],r=this._y2[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:s,y0:Math.min(i,r),x1:s,y1:Math.max(i,r),i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let i=0,r=s.length;i<r;i++)e.lineTo(t[i],s[i]);for(let s=i.length-1;s>=0;s--)e.lineTo(t[s],i[s]);e.closePath(),r.call(e)}_render(e,t,{sx:s,sy1:i,sy2:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}scenterx(e){return this.sx[e]}scentery(e){return(this.sy1[e]+this.sy2[e])/2}_hit_point(e){const t=this.sx.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx[e],i[e]=this.sy1[e],s[t+e]=this.sx[t-e-1],i[t+e]=this.sy2[t-e-1];const r=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.get_view=()=>this),r}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}s.VAreaView=l,l.__name__=\"VAreaView\";class o extends r.Area{constructor(e){super(e)}static init_VArea(){this.prototype.default_view=l,this.define({x:[_.CoordinateSpec],y1:[_.CoordinateSpec],y2:[_.CoordinateSpec]})}}s.VArea=o,o.__name__=\"VArea\",o.init_VArea()},\n      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),c=t.__importStar(i(18)),o=i(79),r=i(9),_=i(77);class h extends n.Model{constructor(i){super(i)}static init_CDSView(){this.define({filters:[c.Array,[]],source:[c.Instance]}),this.internal({indices:[c.Array,[]],indices_map:[c.Any,{}]})}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,()=>{this.compute_indices(),this.change.emit()});const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,()=>{e||(i(),e=!0)})}compute_indices(){const i=this.filters.map(i=>i.compute_indices(this.source)).filter(i=>null!=i);i.length>0?this.indices=r.intersection.apply(this,i):this.source instanceof _.ColumnarDataSource&&(this.indices=this.source.get_indices()),this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;i<this.indices.length;i++)this.indices_map[this.indices[i]]=i}convert_selection_from_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_selection_to_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices_map[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_indices_from_subset(i){return i.map(i=>this.indices[i])}}s.CDSView=h,h.__name__=\"CDSView\",h.init_CDSView()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(9);async function i(e,n,t){const o=new e(Object.assign(Object.assign({},t),{model:n}));return o.initialize(),await o.lazy_initialize(),o}t.build_view=async function(e,n={parent:null},t=(e=>e.default_view)){const o=await i(t(e),e,n);return o.connect_signals(),o},t.build_views=async function(e,n,t={parent:null},s=(e=>e.default_view)){const c=o.difference([...e.keys()],n);for(const n of c)e.get(n).remove(),e.delete(n);const a=[],f=n.filter(n=>!e.has(n));for(const n of f){const o=await i(s(n),n,t);e.set(n,o),a.push(o)}for(const e of a)e.connect_signals();return a},t.remove_views=function(e){for(const[n,t]of e)t.remove(),e.delete(n)}},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),r=e(82),i=e(101),a=s.__importStar(e(18)),d=e(99);class _ extends r.DataRendererView{initialize(){super.initialize(),this.xscale=this.plot_view.frame.xscales.default,this.yscale=this.plot_view.frame.yscales.default,this._renderer_views=new Map}async lazy_initialize(){[this.node_view,this.edge_view]=await d.build_views(this._renderer_views,[this.model.node_renderer,this.model.edge_renderer],{parent:this.parent}),this.set_data()}remove(){d.remove_views(this._renderer_views),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,()=>this.set_data()),this.connect(this.model.node_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.change,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.change,()=>this.set_data());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const n=e[t];this.connect(n.change,()=>this.set_data())}for(const e in t){const n=t[e];this.connect(n.change,()=>this.set_data())}}set_data(e=!0){this.node_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.edge_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0});const t=this.node_view.glyph;[t._x,t._y]=this.model.layout_provider.get_node_coordinates(this.model.node_renderer.data_source);const n=this.edge_view.glyph;[n._xs,n._ys]=this.model.layout_provider.get_edge_coordinates(this.model.edge_renderer.data_source),t.index_data(),n.index_data(),e&&this.request_render()}render(){this.edge_view.render(),this.node_view.render()}}n.GraphRendererView=_,_.__name__=\"GraphRendererView\";class o extends r.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=_,this.define({layout_provider:[a.Instance],node_renderer:[a.Instance],edge_renderer:[a.Instance],selection_policy:[a.Instance,()=>new i.NodesOnly],inspection_policy:[a.Instance,()=>new i.NodesOnly]})}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=o,o.__name__=\"GraphRenderer\",o.init_GraphRenderer()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const d=e(71),s=e(12),o=e(9),_=e(79);class i extends d.Model{constructor(e){super(e)}_hit_test_nodes(e,t){if(!t.model.visible)return null;const n=t.node_view.glyph.hit_test(e);return null==n?null:t.node_view.model.view.convert_selection_from_subset(n)}_hit_test_edges(e,t){if(!t.model.visible)return null;const n=t.edge_view.glyph.hit_test(e);return null==n?null:t.edge_view.model.view.convert_selection_from_subset(n)}}n.GraphHitTestPolicy=i,i.__name__=\"GraphHitTestPolicy\";class r extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.model.get_selection_manager().get_or_create_inspector(n.node_view.model);return o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesOnly=r,r.__name__=\"NodesOnly\";class c extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}get_linked_edges(e,t,n){let d=[];\"selection\"==n?d=e.selected.indices.map(t=>e.data.index[t]):\"inspection\"==n&&(d=e.inspected.indices.map(t=>e.data.index[t]));const s=[];for(let e=0;e<t.data.start.length;e++)(o.contains(d,t.data.start[e])||o.contains(d,t.data.end[e]))&&s.push(e);const i=new _.Selection;for(const e of s)i.multiline_indices[e]=[0];return i.indices=s,i}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;s.update(e,n,d);const o=t.edge_renderer.data_source.selected,_=this.get_linked_edges(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model);o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model),i=this.get_linked_edges(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.edge_view.model.data_source.setv({inspected:_},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesAndLinkedEdges=c,c.__name__=\"NodesAndLinkedEdges\";class a extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_edges(e,t)}get_linked_nodes(e,t,n){let d=[];\"selection\"==n?d=t.selected.indices:\"inspection\"==n&&(d=t.inspected.indices);const i=[];for(const e of d)i.push(t.data.start[e]),i.push(t.data.end[e]);const r=o.uniq(i).map(t=>s.indexOf(e.data.index,t));return new _.Selection({indices:r})}do_selection(e,t,n,d){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,n,d);const o=t.node_renderer.data_source.selected,_=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model);o.update(e,d,s),n.edge_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model),i=this.get_linked_nodes(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.node_view.model.data_source.setv({inspected:_},{silent:!0}),n.edge_view.model.data_source.inspect.emit([n.edge_view,{geometry:t}]),!o.is_empty()}}n.EdgesAndLinkedNodes=a,a.__name__=\"EdgesAndLinkedNodes\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(71);class o extends s.Model{do_selection(e,t,n,s){return null!==e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=o,o.__name__=\"SelectionPolicy\";class r extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=r,r.__name__=\"IntersectRenderers\";class c extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=c,c.__name__=\"UnionRenderers\"},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.concat=function(t,...e){let n=t.length;for(const t of e)n+=t.length;const o=new t.constructor(n);o.set(t,0);let c=t.length;for(const t of e)o.set(t,c),c+=t.length;return o}},\n      function _(n,o,e){function t(...n){const o=new Set;for(const e of n)for(const n of e)o.add(n);return o}Object.defineProperty(e,\"__esModule\",{value:!0}),e.union=t,e.intersection=function(n,...o){const e=new Set;n:for(const t of n){for(const n of o)if(!n.has(t))continue n;e.add(t)}return e},e.difference=function(n,...o){const e=new Set(n);for(const n of t(...o))e.delete(n);return e}},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(13);class o{constructor(e){this.document=e}}s.DocumentEvent=o,o.__name__=\"DocumentEvent\";class r extends o{constructor(e,t,s){super(e),this.events=t,this.setter_id=s}}s.DocumentEventBatch=r,r.__name__=\"DocumentEventBatch\";class d extends o{}s.DocumentChangedEvent=d,d.__name__=\"DocumentChangedEvent\";class _ extends d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}json(e){const t=this.msg_data,s=n.HasProps._value_to_json(t),o=new Set;return n.HasProps._value_record_references(t,o,{recursive:!0}),{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=_,_.__name__=\"MessageSentEvent\";class i extends d{constructor(e,t,s,n,o,r,d){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=r,this.hint=d}json(e){if(\"id\"===this.attr)throw new Error(\"'id' field should never change, whatever code just set it is wrong\");if(null!=this.hint)return this.hint.json(e);const t=this.new_,s=n.HasProps._value_to_json(t),o=new Set;n.HasProps._value_record_references(t,o,{recursive:!0}),o.has(this.model)&&this.model!==t&&o.delete(this.model);for(const t of o)e.add(t);return{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=i,i.__name__=\"ModelChangedEvent\";class a extends d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}json(e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=a,a.__name__=\"ColumnsPatchedEvent\";class c extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}json(e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=c,c.__name__=\"ColumnsStreamedEvent\";class h extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}json(e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=h,h.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return n.HasProps._value_record_references(this.model,e,{recursive:!0}),{kind:\"RootAdded\",model:this.model.ref()}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class l extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=l,l.__name__=\"RootRemovedEvent\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(31),o=e(76),l=i.__importStar(e(23)),a=i.__importStar(e(18));class n extends _.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],_=\"height\"==t?i:s,o=\"height\"==t?s:i,l=\"height\"==t?e.yview:e.xview,a=\"height\"==t?e.xview:e.yview;let n,h,r;n=\"data\"==this.model.properties.lower.units?_.v_compute(this._lower):l.v_compute(this._lower),h=\"data\"==this.model.properties.upper.units?_.v_compute(this._upper):l.v_compute(this._upper),r=\"data\"==this.model.properties.base.units?o.v_compute(this._base):a.v_compute(this._base);const[c,p]=\"height\"==t?[1,0]:[0,1],u=[n,r],d=[h,r];this._lower_sx=u[c],this._lower_sy=u[p],this._upper_sx=d[c],this._upper_sy=d[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);for(let t=this._upper_sx.length-1;t>=0;t--)e.lineTo(this._upper_sx[t],this._upper_sy[t]);e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(e),e.fill()),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke()),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let t=0,s=this._upper_sx.length;t<s;t++)e.lineTo(this._upper_sx[t],this._upper_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke())}}s.BandView=n,n.__name__=\"BandView\";class h extends _.Annotation{constructor(e){super(e)}static init_Band(){this.prototype.default_view=n,this.mixins([l.Line,l.Fill]),this.define({lower:[a.DistanceSpec],upper:[a.DistanceSpec],base:[a.DistanceSpec],dimension:[a.Dimension,\"height\"],source:[a.Instance,()=>new o.ColumnDataSource],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}}s.Band=h,h.__name__=\"Band\",h.init_Band()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),n=t(31),o=t(14),l=s.__importStar(t(23)),a=s.__importStar(t(18)),r=t(88);e.EDGE_TOLERANCE=2.5;class h extends n.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this)),this.connect(this.model.data_update,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;if(null==this.model.left&&null==this.model.right&&null==this.model.top&&null==this.model.bottom)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],e=t.yscales[this.model.y_range_name],s=(t,i,e,s,n)=>{let o;return o=null!=t?this.model.screen?t:\"data\"==i?e.compute(t):s.compute(t):n,o};this.sleft=s(this.model.left,this.model.left_units,i,t.xview,t._left.value),this.sright=s(this.model.right,this.model.right_units,i,t.xview,t._right.value),this.stop=s(this.model.top,this.model.top_units,e,t.yview,t._top.value),this.sbottom=s(this.model.bottom,this.model.bottom_units,e,t.yview,t._bottom.value),this._paint_box(this.sleft,this.sright,this.sbottom,this.stop)}_paint_box(t,i,e,s){const{ctx:n}=this.layer;n.save(),n.beginPath(),n.rect(t,s,i-t,e-s),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill()),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),n.restore()}interactive_bbox(){const t=this.model.properties.line_width.value()+e.EDGE_TOLERANCE;return new r.BBox({x0:this.sleft-t,y0:this.stop-t,x1:this.sright+t,y1:this.sbottom+t})}interactive_hit(t,i){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,i)}cursor(t,i){return Math.abs(t-this.sleft)<3||Math.abs(t-this.sright)<3?this.model.ew_cursor:Math.abs(i-this.sbottom)<3||Math.abs(i-this.stop)<3?this.model.ns_cursor:t>this.sleft&&t<this.sright&&i>this.stop&&i<this.sbottom?this.model.in_cursor:null}}e.BoxAnnotationView=h,h.__name__=\"BoxAnnotationView\";class _ extends n.Annotation{constructor(t){super(t)}static init_BoxAnnotation(){this.prototype.default_view=h,this.mixins([l.Line,l.Fill]),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],top:[a.Number,null],top_units:[a.SpatialUnits,\"data\"],bottom:[a.Number,null],bottom_units:[a.SpatialUnits,\"data\"],left:[a.Number,null],left_units:[a.SpatialUnits,\"data\"],right:[a.Number,null],right_units:[a.SpatialUnits,\"data\"]}),this.internal({screen:[a.Boolean,!1],ew_cursor:[a.String,null],ns_cursor:[a.String,null],in_cursor:[a.String,null]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({left:t,right:i,top:e,bottom:s}){this.setv({left:t,right:i,top:e,bottom:s,screen:!0},{silent:!0}),this.data_update.emit()}}e.BoxAnnotation=_,_.__name__=\"BoxAnnotation\",_.init_BoxAnnotation()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),a=t(31),s=t(109),r=t(113),l=t(115),n=t(120),_=t(130),h=t(131),m=o.__importStar(t(23)),d=o.__importStar(t(18)),c=o.__importStar(t(132)),u=t(9),p=t(12),g=t(8),f=t(11);class b extends a.AnnotationView{initialize(){super.initialize(),this._set_canvas_image()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.visible.change,()=>this.plot_view.request_render()),this.connect(this.model.ticker.change,()=>this.plot_view.request_render()),this.connect(this.model.formatter.change,()=>this.plot_view.request_render()),null!=this.model.color_mapper&&this.connect(this.model.color_mapper.change,()=>{this._set_canvas_image(),this.plot_view.request_render()})}_get_size(){if(null==this.model.color_mapper)return{width:0,height:0};{const{width:t,height:e}=this.compute_legend_dimensions();return{width:t,height:e}}}_set_canvas_image(){if(null==this.model.color_mapper)return;let t,e,{palette:i}=this.model.color_mapper;switch(\"vertical\"==this.model.orientation&&(i=u.reversed(i)),this.model.orientation){case\"vertical\":[t,e]=[1,i.length];break;case\"horizontal\":[t,e]=[i.length,1]}const o=document.createElement(\"canvas\");o.width=t,o.height=e;const a=o.getContext(\"2d\"),s=a.getImageData(0,0,t,e),r=new l.LinearColorMapper({palette:i}).rgba_mapper.v_compute(u.range(0,i.length));s.data.set(r),a.putImageData(s,0,0),this.image=o}compute_legend_dimensions(){const t=this._computed_image_dimensions(),[e,i]=[t.height,t.width],o=this._get_label_extent(),a=this._title_extent(),s=this._tick_extent(),{padding:r}=this.model;let l,n;switch(this.model.orientation){case\"vertical\":l=e+a+2*r,n=i+s+o+2*r;break;case\"horizontal\":l=e+a+s+o+2*r,n=i+2*r}return{width:n,height:l}}compute_legend_location(){const t=this.compute_legend_dimensions(),[e,i]=[t.height,t.width],o=this.model.margin,a=null!=this.panel?this.panel:this.plot_view.frame,[s,r]=a.bbox.ranges,{location:l}=this.model;let n,_;if(g.isString(l))switch(l){case\"top_left\":n=s.start+o,_=r.start+o;break;case\"top_center\":n=(s.end+s.start)/2-i/2,_=r.start+o;break;case\"top_right\":n=s.end-o-i,_=r.start+o;break;case\"bottom_right\":n=s.end-o-i,_=r.end-o-e;break;case\"bottom_center\":n=(s.end+s.start)/2-i/2,_=r.end-o-e;break;case\"bottom_left\":n=s.start+o,_=r.end-o-e;break;case\"center_left\":n=s.start+o,_=(r.end+r.start)/2-e/2;break;case\"center\":n=(s.end+s.start)/2-i/2,_=(r.end+r.start)/2-e/2;break;case\"center_right\":n=s.end-o-i,_=(r.end+r.start)/2-e/2}else if(g.isArray(l)&&2==l.length){const[t,i]=l;n=a.xview.compute(t),_=a.yview.compute(i)-e}else f.unreachable();return{sx:n,sy:_}}render(){if(!this.model.visible||null==this.model.color_mapper)return;const{ctx:t}=this.layer;t.save();const{sx:e,sy:i}=this.compute_legend_location();t.translate(e,i),this._draw_bbox(t);const o=this._get_image_offset();if(t.translate(o.x,o.y),this._draw_image(t),null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high){const e=this.tick_info();this._draw_major_ticks(t,e),this._draw_minor_ticks(t,e),this._draw_major_labels(t,e)}this.model.title&&this._draw_title(t),t.restore()}_draw_bbox(t){const e=this.compute_legend_dimensions();t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(0,0,e.width,e.height)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_image(t){const e=this._computed_image_dimensions();t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this.image,0,0,e.width,e.height),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_major_ticks(t,e){if(!this.visuals.major_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.major,_=this.model.major_tick_in,h=this.model.major_tick_out;t.save(),t.translate(s,r),this.visuals.major_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_minor_ticks(t,e){if(!this.visuals.minor_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.minor,_=this.model.minor_tick_in,h=this.model.minor_tick_out;t.save(),t.translate(s,r),this.visuals.minor_tick_line.set_value(t);for(let e=0,a=l.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(l[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(l[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_major_labels(t,e){if(!this.visuals.major_label_text.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],l=this.model.label_standoff+this._tick_extent(),[n,_]=[l*i,l*o],[h,m]=e.coords.major,d=e.labels.major;this.visuals.major_label_text.set_value(t),t.save(),t.translate(s+n,r+_);for(let e=0,a=h.length;e<a;e++)t.fillText(d[e],Math.round(h[e]+i*this.model.label_standoff),Math.round(m[e]+o*this.model.label_standoff));t.restore()}_draw_title(t){this.visuals.title_text.doit&&(t.save(),this.visuals.title_text.set_value(t),t.fillText(this.model.title,0,-this.model.title_standoff),t.restore())}_get_label_extent(){const t=this.tick_info().labels.major;let e;if(null==this.model.color_mapper.low||null==this.model.color_mapper.high||u.is_empty(t))e=0;else{const{ctx:i}=this.layer;switch(i.save(),this.visuals.major_label_text.set_value(i),this.model.orientation){case\"vertical\":e=u.max(t.map(t=>i.measureText(t.toString()).width));break;case\"horizontal\":e=c.measure_font(this.visuals.major_label_text.font_value()).height}e+=this.model.label_standoff,i.restore()}return e}_get_image_offset(){return{x:this.model.padding,y:this.model.padding+this._title_extent()}}_normals(){return\"vertical\"==this.model.orientation?[1,0]:[0,1]}_title_extent(){const t=this.model.title_text_font+\" \"+this.model.title_text_font_size+\" \"+this.model.title_text_font_style;return this.model.title?c.measure_font(t).height+this.model.title_standoff:0}_tick_extent(){return null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high?u.max([this.model.major_tick_out,this.model.minor_tick_out]):0}_computed_image_dimensions(){const t=this.plot_view.frame._height.value,e=this.plot_view.frame._width.value,i=this._title_extent();let o,a;switch(this.model.orientation){case\"vertical\":\"auto\"==this.model.height?null!=this.panel?o=t-2*this.model.padding-i:(o=u.max([25*this.model.color_mapper.palette.length,.3*t]),o=u.min([o,.8*t-2*this.model.padding-i])):o=this.model.height,a=\"auto\"==this.model.width?25:this.model.width;break;case\"horizontal\":o=\"auto\"==this.model.height?25:this.model.height,\"auto\"==this.model.width?null!=this.panel?a=e-2*this.model.padding:(a=u.max([25*this.model.color_mapper.palette.length,.3*e]),a=u.min([a,.8*e-2*this.model.padding])):a=this.model.width}return{width:a,height:o}}_tick_coordinate_scale(t){const e={source_range:new h.Range1d({start:this.model.color_mapper.low,end:this.model.color_mapper.high}),target_range:new h.Range1d({start:0,end:t})};switch(this.model.color_mapper.type){case\"LinearColorMapper\":return new n.LinearScale(e);case\"LogColorMapper\":return new _.LogScale(e);default:f.unreachable()}}_format_major_labels(t,e){const i=this.model.formatter.doFormat(t,null);for(let t=0,o=e.length;t<o;t++)e[t]in this.model.major_label_overrides&&(i[t]=this.model.major_label_overrides[e[t]]);return i}tick_info(){const t=this._computed_image_dimensions();let e;switch(this.model.orientation){case\"vertical\":e=t.height;break;case\"horizontal\":e=t.width}const i=this._tick_coordinate_scale(e),[o,a]=this._normals(),[s,r]=[this.model.color_mapper.low,this.model.color_mapper.high],l=this.model.ticker.get_ticks(s,r,null,null,this.model.ticker.desired_num_ticks),n=l.major,_=l.minor,h=[[],[]],m=[[],[]];for(let t=0,e=n.length;t<e;t++)n[t]<s||n[t]>r||(h[o].push(n[t]),h[a].push(0));for(let t=0,e=_.length;t<e;t++)_[t]<s||_[t]>r||(m[o].push(_[t]),m[a].push(0));const d={major:this._format_major_labels(h[o],n)},c={major:[[],[]],minor:[[],[]]};return c.major[o]=i.v_compute(h[o]),c.minor[o]=i.v_compute(m[o]),c.major[a]=h[a],c.minor[a]=m[a],\"vertical\"==this.model.orientation&&(c.major[o]=p.map(c.major[o],t=>e-t),c.minor[o]=p.map(c.minor[o],t=>e-t)),{coords:c,labels:d}}}i.ColorBarView=b,b.__name__=\"ColorBarView\";class v extends a.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=b,this.mixins([[\"major_label_\",m.Text],[\"title_\",m.Text],[\"major_tick_\",m.Line],[\"minor_tick_\",m.Line],[\"border_\",m.Line],[\"bar_\",m.Line],[\"background_\",m.Fill]]),this.define({location:[d.Any,\"top_right\"],orientation:[d.Orientation,\"vertical\"],title:[d.String],title_standoff:[d.Number,2],width:[d.Any,\"auto\"],height:[d.Any,\"auto\"],scale_alpha:[d.Number,1],ticker:[d.Instance,()=>new s.BasicTicker],formatter:[d.Instance,()=>new r.BasicTickFormatter],major_label_overrides:[d.Any,{}],color_mapper:[d.Instance],label_standoff:[d.Number,5],margin:[d.Number,30],padding:[d.Number,10],major_tick_in:[d.Number,5],major_tick_out:[d.Number,0],minor_tick_in:[d.Number,0],minor_tick_out:[d.Number,0]}),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_align:\"center\",major_label_text_baseline:\"middle\",major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}}i.ColorBar=v,v.__name__=\"ColorBar\",v.init_ColorBar()},\n      function _(e,c,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(110);class r extends i.AdaptiveTicker{constructor(e){super(e)}}s.BasicTicker=r,r.__name__=\"BasicTicker\"},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(111),n=t(9),r=a.__importStar(t(18));class _ extends s.ContinuousTicker{constructor(t){super(t)}static init_AdaptiveTicker(){this.define({base:[r.Number,10],mantissas:[r.Array,[1,2,5]],min_interval:[r.Number,0],max_interval:[r.Number]})}initialize(){super.initialize();const t=n.nth(this.mantissas,-1)/this.base,i=n.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,e){const a=i-t,s=this.get_ideal_interval(t,i,e),r=Math.floor(function(t,i=Math.E){return Math.log(t)/Math.log(i)}(s/this.base_factor,this.base)),_=this.base**r*this.base_factor,h=this.extended_mantissas,m=h.map(t=>Math.abs(e-a/(t*_))),o=h[n.argmin(m)];return c=o*_,l=this.get_min_interval(),u=this.get_max_interval(),Math.max(l,Math.min(u,c));var c,l,u}}e.AdaptiveTicker=_,_.__name__=\"AdaptiveTicker\",_.init_AdaptiveTicker()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),r=t(112),s=n.__importStar(t(18)),o=t(9);class _ extends r.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define({num_minor_ticks:[s.Number,5],desired_num_ticks:[s.Number,6]})}get_ticks(t,i,e,n,r){return this.get_ticks_no_defaults(t,i,n,this.desired_num_ticks)}get_ticks_no_defaults(t,i,e,n){const r=this.get_interval(t,i,n),s=Math.floor(t/r),_=Math.ceil(i/r);let c;c=isNaN(s)||isNaN(_)?[]:o.range(s,_+1);const u=c.map(t=>t*r).filter(e=>t<=e&&e<=i),a=this.num_minor_ticks,l=[];if(a>0&&u.length>0){const e=r/a,n=o.range(0,a).map(t=>t*e);for(const e of n.slice(1)){const n=u[0]-e;t<=n&&n<=i&&l.push(n)}for(const e of u)for(const r of n){const n=e+r;t<=n&&n<=i&&l.push(n)}}return{major:u,minor:l}}get_min_interval(){return this.min_interval}get_max_interval(){return null!=this.max_interval?this.max_interval:1/0}get_ideal_interval(t,i,e){return(i-t)/e}}e.ContinuousTicker=_,_.__name__=\"ContinuousTicker\",_.init_ContinuousTicker()},\n      function _(e,c,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(71);class r extends o.Model{constructor(e){super(e)}}n.Ticker=r,r.__name__=\"Ticker\"},\n      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),s=i(114),n=r.__importStar(i(18));class o extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define({precision:[n.Any,\"auto\"],use_scientific:[n.Boolean,!0],power_limit_high:[n.Number,5],power_limit_low:[n.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,r=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const s of i){const i=Math.abs(s);if(!(i<=r)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){const r=new Array(i.length);if(t)for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toExponential(e);else for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toFixed(e).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");return r}_auto_precision(i,t){const e=new Array(i.length),r=this.last_precision<=15;i:for(let s=this.last_precision;r?s<=15:s>=1;r?s++:s--){if(t){e[0]=i[0].toExponential(s);for(let t=1;t<i.length;t++)if(e[t]==e[t-1])continue i;this.last_precision=s;break}e[0]=i[0].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");for(let t=1;t<i.length;t++)if(e[t]=i[t].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"),e[t]==e[t-1])continue i;this.last_precision=s;break}return this.last_precision}doFormat(i,t){if(0==i.length)return[];const e=this._need_sci(i),r=\"auto\"==this.precision?this._auto_precision(i,e):this.precision;return this._format_with_precision(i,e,r)}}e.BasicTickFormatter=o,o.__name__=\"BasicTickFormatter\",o.init_BasicTickFormatter()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class c extends r.Model{constructor(e){super(e)}}o.TickFormatter=c,c.__name__=\"TickFormatter\"},\n      function _(o,n,l){Object.defineProperty(l,\"__esModule\",{value:!0});const e=o(116),t=o(12);class i extends e.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,n,l,e){const{nan_color:i,low_color:r,high_color:s}=e,c=null!=this.low?this.low:t.min(o),h=null!=this.high?this.high:t.max(o),u=l.length-1,a=1/(h-c),_=1/l.length;for(let e=0,t=o.length;e<t;e++){const t=o[e];if(isNaN(t)){n[e]=i;continue}if(t==h){n[e]=l[u];continue}const p=(t-c)*a,f=Math.floor(p/_);n[e]=f<0?null!=r?r:l[0]:f>u?null!=s?s:l[u]:l[f]}}}l.LinearColorMapper=i,i.__name__=\"LinearColorMapper\"},\n      function _(o,r,l){Object.defineProperty(l,\"__esModule\",{value:!0});const i=o(1),t=o(117),e=i.__importStar(o(18));class s extends t.ColorMapper{constructor(o){super(o)}static init_ContinuousColorMapper(){this.define({high:[e.Number],low:[e.Number],high_color:[e.Color],low_color:[e.Color]})}_colors(o){return Object.assign(Object.assign({},super._colors(o)),{low_color:null!=this.low_color?o(this.low_color):void 0,high_color:null!=this.high_color?o(this.high_color):void 0})}}l.ContinuousColorMapper=s,s.__name__=\"ContinuousColorMapper\",s.init_ContinuousColorMapper()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(118),_=n.__importStar(t(18)),i=t(8),l=t(20),c=t(28);function a(t){return i.isNumber(t)?t:(\"#\"!=t[0]&&(t=l.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function s(t){const e=new Uint32Array(t.length);for(let r=0,n=t.length;r<n;r++)e[r]=a(t[r]);return e}function p(t){if(c.is_little_endian){const e=new DataView(t.buffer);for(let r=0,n=t.length;r<n;r++)e.setUint32(4*r,t[r])}return new Uint8Array(t.buffer)}r._convert_color=a,r._convert_palette=s,r._uint32_to_rgba=p;class u extends o.Mapper{constructor(t){super(t)}static init_ColorMapper(){this.define({palette:[_.Any],nan_color:[_.Color,\"gray\"]})}v_compute(t){const e=new Array(t.length);return this._v_compute(t,e,this.palette,this._colors(t=>t)),e}get rgba_mapper(){const t=this,e=s(this.palette),r=this._colors(a);return{v_compute(n){const o=new Uint32Array(n.length);return t._v_compute(n,o,e,r),p(o)}}}_colors(t){return{nan_color:t(this.nan_color)}}}r.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(119);class s extends o.Transform{constructor(e){super(e)}compute(e){throw new Error(\"mapping single values is not supported\")}}n.Mapper=s,s.__name__=\"Mapper\"},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class s extends r.Model{constructor(e){super(e)}}o.Transform=s,s.__name__=\"Transform\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(121);class _ extends r.ContinuousScale{constructor(e){super(e)}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const c=e(122);class s extends c.Scale{constructor(e){super(e)}}o.ContinuousScale=s,s.__name__=\"ContinuousScale\"},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),_=t(123),s=n.__importStar(t(18));class i extends _.Transform{constructor(t){super(t)}static init_Scale(){this.internal({source_range:[s.Any],target_range:[s.Any]})}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=e*t[_]+r;return n}_linear_invert(t){const[e,r]=this._linear_compute_state();return(t-r)/e}_linear_v_invert(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=(t[_]-r)/e;return n}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,r=this.target_range.start,n=(this.target_range.end-r)/(e-t);return[n,-n*t+r]}}r.Scale=i,i.__name__=\"Scale\",i.init_Scale()},\n      function _(r,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=r(124);t.CustomJSTransform=e.CustomJSTransform;var a=r(125);t.Dodge=a.Dodge;var n=r(126);t.Interpolator=n.Interpolator;var p=r(127);t.Jitter=p.Jitter;var l=r(128);t.LinearInterpolator=l.LinearInterpolator;var v=r(129);t.StepInterpolator=v.StepInterpolator;var s=r(119);t.Transform=s.Transform},\n      function _(t,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),e=t(119),a=n.__importStar(t(18)),o=t(17),u=t(24);class i extends e.Transform{constructor(t){super(t)}static init_CustomJSTransform(){this.define({args:[a.Any,{}],func:[a.String,\"\"],v_func:[a.String,\"\"]})}get names(){return o.keys(this.args)}get values(){return o.values(this.args)}_make_transform(t,r){return new Function(...this.names,t,u.use_strict(r))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(t){return this.scalar_transform(...this.values,t)}v_compute(t){return this.vector_transform(...this.values,t)}}s.CustomJSTransform=i,i.__name__=\"CustomJSTransform\",i.init_CustomJSTransform()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(1),o=e(119),i=e(90),s=n.__importStar(e(18)),a=e(8);class c extends o.Transform{constructor(e){super(e)}static init_Dodge(){this.define({value:[s.Number,0],range:[s.Instance]})}v_compute(e){let t;if(this.range instanceof i.FactorRange)t=this.range.v_synthetic(e);else{if(!a.isArrayableOf(e,a.isNumber))throw new Error(\"unexpected\");t=e}const r=new Float64Array(t.length);for(let e=0;e<t.length;e++){const n=t[e];r[e]=this._compute(n)}return r}compute(e){if(this.range instanceof i.FactorRange)return this._compute(this.range.synthetic(e));if(a.isNumber(e))return this._compute(e);throw new Error(\"unexpected\")}_compute(e){return e+this.value}}r.Dodge=c,c.__name__=\"Dodge\",c.init_Dodge()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(119),n=s.__importStar(t(18)),i=t(9),a=t(8);class h extends o.Transform{constructor(t){super(t),this._sorted_dirty=!0}static init_Interpolator(){this.define({x:[n.Any],y:[n.Any],data:[n.Any],clip:[n.Boolean,!0]})}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._sorted_dirty=!0)}v_compute(t){const e=new Float64Array(t.length);for(let r=0;r<t.length;r++){const s=t[r];e[r]=this.compute(s)}return e}sort(t=!1){if(!this._sorted_dirty)return;let e,r;if(a.isString(this.x)&&a.isString(this.y)&&null!=this.data){const t=this.data.columns();if(!i.includes(t,this.x))throw new Error(\"The x parameter does not correspond to a valid column name defined in the data parameter\");if(!i.includes(t,this.y))throw new Error(\"The y parameter does not correspond to a valid column name defined in the data parameter\");e=this.data.get_column(this.x),r=this.data.get_column(this.y)}else{if(!a.isArray(this.x)||!a.isArray(this.y))throw new Error(\"parameters 'x' and 'y' must be both either string fields or arrays\");e=this.x,r=this.y}if(e.length!==r.length)throw new Error(\"The length for x and y do not match\");if(e.length<2)throw new Error(\"x and y must have at least two elements to support interpolation\");const s=[];for(const t in e)s.push({x:e[t],y:r[t]});t?s.sort((t,e)=>t.x>e.x?-1:t.x==e.x?0:1):s.sort((t,e)=>t.x<e.x?-1:t.x==e.x?0:1),this._x_sorted=[],this._y_sorted=[];for(const{x:t,y:e}of s)this._x_sorted.push(t),this._y_sorted.push(e);this._sorted_dirty=!1}}r.Interpolator=h,h.__name__=\"Interpolator\",h.init_Interpolator()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),n=t(119),s=t(90),o=t(8),u=i.__importStar(t(18)),a=i.__importStar(t(10));class h extends n.Transform{constructor(t){super(t)}static init_Jitter(){this.define({mean:[u.Number,0],width:[u.Number,1],distribution:[u.Distribution,\"uniform\"],range:[u.Instance]}),this.internal({previous_values:[u.Array]})}v_compute(t){if(null!=this.previous_values&&this.previous_values.length==t.length)return this.previous_values;let e;if(this.range instanceof s.FactorRange)e=this.range.v_synthetic(t);else{if(!o.isArrayableOf(t,o.isNumber))throw new Error(\"unexpected\");e=t}const r=new Float64Array(e.length);for(let t=0;t<e.length;t++){const i=e[t];r[t]=this._compute(i)}return this.previous_values=r,r}compute(t){if(this.range instanceof s.FactorRange)return this._compute(this.range.synthetic(t));if(o.isNumber(t))return this._compute(t);throw new Error(\"unexpected\")}_compute(t){switch(this.distribution){case\"uniform\":return t+this.mean+(a.random()-.5)*this.width;case\"normal\":return t+a.rnorm(this.mean,this.width)}}}r.Jitter=h,h.__name__=\"Jitter\",h.init_Jitter()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const _=t(9),r=t(126);class o extends r.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=_.find_last_index(this._x_sorted,s=>s<t),e=this._x_sorted[s],r=this._x_sorted[s+1],o=this._y_sorted[s],i=this._y_sorted[s+1];return o+(t-e)/(r-e)*(i-o)}}e.LinearInterpolator=o,o.__name__=\"LinearInterpolator\"},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(126),_=s.__importStar(t(18)),i=t(9);class n extends o.Interpolator{constructor(t){super(t)}static init_StepInterpolator(){this.define({mode:[_.StepMode,\"after\"]})}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=i.find_last_index(this._x_sorted,e=>t>=e);break;case\"before\":e=i.find_index(this._x_sorted,e=>t<=e);break;case\"center\":{const r=this._x_sorted.map(e=>Math.abs(e-t)),s=i.min(r);e=i.find_index(r,t=>s===t);break}default:throw new Error(\"unknown mode: \"+this.mode)}return-1!=e?this._y_sorted[e]:NaN}}r.StepInterpolator=n,n.__name__=\"StepInterpolator\",n.init_StepInterpolator()},\n      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(121);class s extends a.ContinuousScale{constructor(t){super(t)}compute(t){const[e,o,a,s]=this._compute_state();let n;if(0==a)n=0;else{const r=(Math.log(t)-s)/a;n=isFinite(r)?r*e+o:NaN}return n}v_compute(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);if(0==a)for(let e=0;e<t.length;e++)n[e]=0;else for(let r=0;r<t.length;r++){const l=(Math.log(t[r])-s)/a;let c;c=isFinite(l)?l*e+o:NaN,n[r]=c}return n}invert(t){const[e,o,a,s]=this._compute_state(),n=(t-o)/e;return Math.exp(a*n+s)}v_invert(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);for(let r=0;r<t.length;r++){const l=(t[r]-o)/e;n[r]=Math.exp(a*l+s)}return n}_get_safe_factor(t,e){let o=t<0?0:t,a=e<0?0:e;if(o==a)if(0==o)[o,a]=[1,10];else{const t=Math.log(o)/Math.log(10);o=10**Math.floor(t),a=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[o,a]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,o=this.target_range.start,a=this.target_range.end-o,[s,n]=this._get_safe_factor(t,e);let r,l;return 0==s?(r=Math.log(n),l=0):(r=Math.log(n)-Math.log(s),l=Math.log(s)),[a,o,r,l]}}o.LogScale=s,s.__name__=\"LogScale\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(91),r=i.__importStar(t(18));class a extends n.Range{constructor(t){super(t)}static init_Range1d(){this.define({start:[r.Number,0],end:[r.Number,1],reset_start:[r.Number],reset_end:[r.Number]})}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this.reset_start,this.reset_end),e=Math.max(this.reset_start,this.reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),null==this.reset_start&&(this.reset_start=this.start),null==this.reset_end&&(this.reset_end=this.end),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds(),this.start!=this.reset_start||this.end!=this.reset_end?this.setv({start:this.reset_start,end:this.reset_end}):this.change.emit()}}s.Range1d=a,a.__name__=\"Range1d\",a.init_Range1d()},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=t(68),i=new Map;n.measure_font=function(t){const e=i.get(t);if(null!=e)return e;const n=o.span({style:{font:t}},\"Hg\"),l=o.div({style:{display:\"inline-block\",width:\"1px\",height:\"0px\"}}),s=o.div({},n,l);document.body.appendChild(s);try{l.style.verticalAlign=\"baseline\";const e=o.offset(l).top-o.offset(n).top;l.style.verticalAlign=\"bottom\";const d=o.offset(l).top-o.offset(n).top,c={height:d,ascent:e,descent:d-e};return i.set(t,c),c}finally{document.body.removeChild(s)}};const l=new Map;n.measure_text=function(t,e){let n=l.get(e);if(null!=n){const e=n.get(t);if(null!=e)return e}else n=new Map,l.set(e,n);const i=o.div({style:{display:\"inline-block\",\"white-space\":\"nowrap\",font:e}},t);document.body.appendChild(i);try{const{width:e,height:o}=i.getBoundingClientRect();return n.set(t,{width:e,height:o}),{width:e,height:o}}finally{document.body.removeChild(i)}}},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(134),l=e(68),n=s.__importStar(e(23)),o=s.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.warm_cache()}_get_size(){const{ctx:e}=this.layer;this.visuals.text.set_value(e);const{width:t,ascent:i}=e.measureText(this.model.text);return{width:t,height:i}}render(){if(this.model.visible||\"css\"!=this.model.render_mode||l.undisplay(this.el),!this.model.visible)return;let e;switch(this.model.angle_units){case\"rad\":e=-this.model.angle;break;case\"deg\":e=-this.model.angle*Math.PI/180}const t=null!=this.panel?this.panel:this.plot_view.frame,i=this.plot_view.frame.xscales[this.model.x_range_name],s=this.plot_view.frame.yscales[this.model.y_range_name];let a=\"data\"==this.model.x_units?i.compute(this.model.x):t.xview.compute(this.model.x),n=\"data\"==this.model.y_units?s.compute(this.model.y):t.yview.compute(this.model.y);a+=this.model.x_offset,n-=this.model.y_offset,(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,a,n,e)}}i.LabelView=_,_.__name__=\"LabelView\";class r extends a.TextAnnotation{constructor(e){super(e)}static init_Label(){this.prototype.default_view=_,this.mixins([n.Text,[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({x:[o.Number],x_units:[o.SpatialUnits,\"data\"],y:[o.Number],y_units:[o.SpatialUnits,\"data\"],text:[o.String],angle:[o.Angle,0],angle_units:[o.AngleUnits,\"rad\"],x_offset:[o.Number,0],y_offset:[o.Number,0],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}i.Label=r,r.__name__=\"Label\",r.init_Label()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=e(31),a=e(68),n=i.__importStar(e(18)),o=e(132),r=e(11);class _ extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&this.plot_view.canvas_view.add_overlay(this.el)}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,()=>this.render()):this.connect(this.model.change,()=>this.plot_view.request_render())}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=o.measure_font(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let l,a;switch(e.textAlign){case\"left\":l=0;break;case\"center\":l=-s/2;break;case\"right\":l=-s;break;default:r.unreachable()}switch(e.textBaseline){case\"top\":a=0;break;case\"middle\":a=-.5*i;break;case\"bottom\":a=-1*i;break;case\"alphabetic\":a=-.8*i;break;case\"hanging\":a=-.17*i;break;case\"ideographic\":a=-.83*i;break;default:r.unreachable()}return[l,a,s,i]}_canvas_text(e,t,s,i,l){this.visuals.text.set_value(e);const a=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),l&&e.rotate(l),e.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,l){a.undisplay(this.el),this.visuals.text.set_value(e);const n=this._calculate_bounding_box_dimensions(e,t),o=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_value(e),this.visuals.background_fill.set_value(e),this.el.style.position=\"absolute\",this.el.style.left=s+n[0]+\"px\",this.el.style.top=i+n[1]+\"px\",this.el.style.color=\"\"+this.visuals.text.text_color.value(),this.el.style.opacity=\"\"+this.visuals.text.text_alpha.value(),this.el.style.font=\"\"+this.visuals.text.font_value(),this.el.style.lineHeight=\"normal\",l&&(this.el.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(this.el.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(this.el.style.borderStyle=\"\"+o,this.el.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",this.el.style.borderColor=\"\"+this.visuals.border_line.color_value()),this.el.textContent=t,a.display(this.el)}}s.TextAnnotationView=_,_.__name__=\"TextAnnotationView\";class h extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define({render_mode:[n.RenderMode,\"canvas\"]})}}s.TextAnnotation=h,h.__name__=\"TextAnnotation\",h.init_TextAnnotation()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(134),o=t(76),a=i.__importStar(t(23)),n=t(68),r=i.__importStar(t(18));class _ extends l.TextAnnotationView{initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this._text.length;t<e;t++){const t=n.div({style:{display:\"none\"}});this.el.appendChild(t)}}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.render()})):(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}))}set_data(t){super.set_data(t),this.visuals.warm_cache(t)}_map_data(){const t=this.plot_view.frame.xscales[this.model.x_range_name],e=this.plot_view.frame.yscales[this.model.y_range_name],s=null!=this.panel?this.panel:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.yview.v_compute(this._y)]}render(){if(this.model.visible||\"css\"!=this.model.render_mode||n.undisplay(this.el),!this.model.visible)return;const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer,[s,i]=this._map_data();for(let l=0,o=this._text.length;l<o;l++)t(e,l,this._text[l],s[l]+this._x_offset[l],i[l]-this._y_offset[l],this._angle[l])}_get_size(){const{ctx:t}=this.layer;this.visuals.text.set_value(t);const{width:e,ascent:s}=t.measureText(this._text[0]);return{width:e,height:s}}_v_canvas_text(t,e,s,i,l,o){this.visuals.text.set_vectorize(t,e);const a=this._calculate_bounding_box_dimensions(t,s);t.save(),t.beginPath(),t.translate(i,l),t.rotate(o),t.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),t.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),t.stroke()),this.visuals.text.doit&&(this.visuals.text.set_vectorize(t,e),t.fillText(s,0,0)),t.restore()}_v_css_text(t,e,s,i,l,o){const a=this.el.children[e];a.textContent=s,this.visuals.text.set_vectorize(t,e);const r=this._calculate_bounding_box_dimensions(t,s),_=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_vectorize(t,e),this.visuals.background_fill.set_vectorize(t,e),a.style.position=\"absolute\",a.style.left=i+r[0]+\"px\",a.style.top=l+r[1]+\"px\",a.style.color=\"\"+this.visuals.text.text_color.value(),a.style.opacity=\"\"+this.visuals.text.text_alpha.value(),a.style.font=\"\"+this.visuals.text.font_value(),a.style.lineHeight=\"normal\",o&&(a.style.transform=`rotate(${o}rad)`),this.visuals.background_fill.doit&&(a.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(a.style.borderStyle=\"\"+_,a.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",a.style.borderColor=\"\"+this.visuals.border_line.color_value()),n.display(a)}}s.LabelSetView=_,_.__name__=\"LabelSetView\";class h extends l.TextAnnotation{constructor(t){super(t)}static init_LabelSet(){this.prototype.default_view=_,this.mixins([a.TextVector,[\"border_\",a.LineVector],[\"background_\",a.FillVector]]),this.define({x:[r.NumberSpec],y:[r.NumberSpec],x_units:[r.SpatialUnits,\"data\"],y_units:[r.SpatialUnits,\"data\"],text:[r.StringSpec,{field:\"text\"}],angle:[r.AngleSpec,0],x_offset:[r.NumberSpec,{value:0}],y_offset:[r.NumberSpec,{value:0}],source:[r.Instance,()=>new o.ColumnDataSource],x_range_name:[r.String,\"default\"],y_range_name:[r.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=h,h.__name__=\"LabelSet\",h.init_LabelSet()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(31),n=s.__importStar(t(23)),h=s.__importStar(t(18)),a=t(14),o=t(132),_=t(88),r=t(9),d=t(8),c=t(11);class g extends l.AnnotationView{cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.visuals.border_line.line_color.value()?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.item_change,()=>this.plot_view.request_render())}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:s,label_width:l}=this.model;this.max_label_height=r.max([o.measure_font(this.visuals.label_text.font_value()).height,s,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,r.max([n.measureText(e).width,l]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?o.measure_font(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const h=Math.max(r.max([...this.text_widths.values()]),0),a=this.model.margin,{legend_padding:g}=this,m=this.model.spacing,{label_standoff:b}=this.model;let u,f;if(\"vertical\"==this.model.orientation)u=t.length*this.max_label_height+Math.max(t.length-1,0)*m+2*g+this.title_height,f=r.max([h+i+b+2*g,this.title_width+2*g]);else{let e=2*g+Math.max(t.length-1,0)*m;for(const[,t]of this.text_widths)e+=r.max([t,l])+i+b;f=r.max([this.title_width+2*g,e]),u=this.max_label_height+this.title_height+2*g}const x=null!=this.panel?this.panel:this.plot_view.frame,[p,v]=x.bbox.ranges,{location:w}=this.model;let y,k;if(d.isString(w))switch(w){case\"top_left\":y=p.start+a,k=v.start+a;break;case\"top_center\":y=(p.end+p.start)/2-f/2,k=v.start+a;break;case\"top_right\":y=p.end-a-f,k=v.start+a;break;case\"bottom_right\":y=p.end-a-f,k=v.end-a-u;break;case\"bottom_center\":y=(p.end+p.start)/2-f/2,k=v.end-a-u;break;case\"bottom_left\":y=p.start+a,k=v.end-a-u;break;case\"center_left\":y=p.start+a,k=(v.end+v.start)/2-u/2;break;case\"center\":y=(p.end+p.start)/2-f/2,k=(v.end+v.start)/2-u/2;break;case\"center_right\":y=p.end-a-f,k=(v.end+v.start)/2-u/2}else if(d.isArray(w)&&2==w.length){const[t,e]=w;y=x.xview.compute(t),k=x.yview.compute(e)-u}else c.unreachable();return new _.BBox({left:y,top:k,width:f,height:u})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=i=l;const o=this.compute_legend_bbox(),r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop();for(const g of c){const c=o.x+a,m=o.y+i+this.title_height;let b,u;if([b,u]=r?[o.width-2*l,this.max_label_height]:[this.text_widths.get(g)+s+h,this.max_label_height],new _.BBox({left:c,top:m,width:b,height:u}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of d.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of d.renderers)t.muted=!t.muted}return!0}r?i+=this.max_label_height+n:a+=this.text_widths.get(g)+s+h+n}}return!1}render(){if(!this.model.visible)return;if(0==this.model.items.length)return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this.model.title&&this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=l,o=l;const _=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop(),g=d.get_field_from_label_prop();if(0==c.length)continue;const m=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return r.every(d.renderers,t=>t.visible);case\"mute\":return r.every(d.renderers,t=>!t.muted)}})();for(const r of c){const c=e.x+a,b=e.y+o+this.title_height,u=c+i,f=b+s;_?o+=this.max_label_height+n:a+=this.text_widths.get(r)+i+h+n,this.visuals.label_text.set_value(t),t.fillText(r,u+h,b+this.max_label_height/2);for(const e of d.renderers){this.plot_view.renderer_views.get(e).draw_legend(t,c,u,b,f,g,r,d.index)}if(!m){let s,n;[s,n]=_?[e.width-2*l,this.max_label_height]:[this.text_widths.get(r)+i+h,this.max_label_height],t.beginPath(),t.rect(c,b,s,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(this.model.title,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=g,g.__name__=\"LegendView\";class m extends l.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new a.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=g,this.mixins([[\"label_\",n.Text],[\"title_\",n.Text],[\"inactive_\",n.Fill],[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({orientation:[h.Orientation,\"vertical\"],location:[h.Any,\"top_right\"],title:[h.String],title_standoff:[h.Number,5],label_standoff:[h.Number,5],glyph_height:[h.Number,20],glyph_width:[h.Number,20],label_height:[h.Number,20],label_width:[h.Number,20],margin:[h.Number,10],padding:[h.Number,10],spacing:[h.Number,3],items:[h.Array,[]],click_policy:[h.Any,\"none\"]}),this.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=m,m.__name__=\"Legend\",m.init_Legend()},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),l=e(71),i=e(77),s=e(138),_=t.__importStar(e(18)),o=e(72),a=e(9);class u extends l.Model{constructor(e){super(e)}static init_LegendItem(){this.define({label:[_.StringSpec,null],renderers:[_.Array,[]],index:[_.Number,null]})}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!a.includes(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,()=>{null!=this.legend&&this.legend.item_change.emit()}),this._check_data_sources_on_renderers()||o.logger.error(\"Non matching data sources on legend item renderers\"),this._check_field_label_on_data_source()||o.logger.error(\"Bad column name on label: \"+this.label)}get_field_from_label_prop(){const{label:e}=this;return s.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(s.isValue(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof i.ColumnarDataSource){const n=r.get_column(e);return null!=n?a.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=u,u.__name__=\"LegendItem\",u.init_LegendItem()},\n      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(8);n.isValue=function(e){return t.isPlainObject(e)&&\"value\"in e},n.isField=function(e){return t.isPlainObject(e)&&\"field\"in e}},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(31),l=n.__importStar(t(23)),o=t(14),a=n.__importStar(t(18));class r extends s.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render())}render(){if(!this.model.visible)return;const{xs:t,ys:e}=this.model;if(t.length!=e.length)return;if(t.length<3||e.length<3)return;const{frame:i}=this.plot_view,{ctx:n}=this.layer;for(let s=0,l=t.length;s<l;s++){let l,o;if(\"screen\"!=this.model.xs_units)throw new Error(\"not implemented\");if(l=this.model.screen?t[s]:i.xview.compute(t[s]),\"screen\"!=this.model.ys_units)throw new Error(\"not implemented\");o=this.model.screen?e[s]:i.yview.compute(e[s]),0==s?(n.beginPath(),n.moveTo(l,o)):n.lineTo(l,o)}n.closePath(),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill())}}i.PolyAnnotationView=r,r.__name__=\"PolyAnnotationView\";class _ extends s.Annotation{constructor(t){super(t)}static init_PolyAnnotation(){this.prototype.default_view=r,this.mixins([l.Line,l.Fill]),this.define({xs:[a.Array,[]],xs_units:[a.SpatialUnits,\"data\"],ys:[a.Array,[]],ys_units:[a.SpatialUnits,\"data\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.internal({screen:[a.Boolean,!1]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({xs:t,ys:e}){this.setv({xs:t,ys:e,screen:!0},{silent:!0}),this.data_update.emit()}}i.PolyAnnotation=_,_.__name__=\"PolyAnnotation\",_.init_PolyAnnotation()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(31),l=n.__importStar(e(23)),o=n.__importStar(e(18));class r extends s.AnnotationView{initialize(){super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render())}render(){this.model.visible&&this._draw_slope()}_draw_slope(){const e=this.model.gradient,t=this.model.y_intercept;if(null==e||null==t)return;const{frame:i}=this.plot_view,n=i.xscales[this.model.x_range_name],s=i.yscales[this.model.y_range_name],l=i._top.value,o=l+i._height.value,r=(s.invert(l)-t)/e,a=(s.invert(o)-t)/e,_=n.compute(r),c=n.compute(a),{ctx:u}=this.layer;u.save(),u.beginPath(),this.visuals.line.set_value(u),u.moveTo(_,l),u.lineTo(c,o),u.stroke(),u.restore()}}i.SlopeView=r,r.__name__=\"SlopeView\";class a extends s.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=r,this.mixins(l.Line),this.define({gradient:[o.Number,null],y_intercept:[o.Number,null],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({line_color:\"black\"})}}i.Slope=a,a.__name__=\"Slope\",a.init_Slope()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),o=e(31),s=n.__importStar(e(23)),a=n.__importStar(e(18));class l extends o.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],n=t.yscales[this.model.y_range_name],o=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,a,l,r;\"width\"==this.model.dimension?(l=o(n,t.yview),a=t._left.value,r=t._width.value,s=this.model.properties.line_width.value()):(l=t._top.value,a=o(i,t.xview),r=this.model.properties.line_width.value(),s=t._height.value);const{ctx:_}=this.layer;_.save(),_.beginPath(),this.visuals.line.set_value(_),_.moveTo(a,l),\"width\"==this.model.dimension?_.lineTo(a+r,l):_.lineTo(a,l+s),_.stroke(),_.restore()}}i.SpanView=l,l.__name__=\"SpanView\";class r extends o.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=l,this.mixins(s.Line),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],location:[a.Number,null],location_units:[a.SpatialUnits,\"data\"],dimension:[a.Dimension,\"width\"]}),this.override({line_color:\"black\"}),this.internal({for_hover:[a.Boolean,!1]})}}i.Span=r,r.__name__=\"Span\",r.init_Span()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1),a=e(134),s=e(68),n=e(70),o=l.__importStar(e(23)),r=l.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.text=new n.Text(this.model)}_get_location(){const e=this.panel,t=this.model.offset;let i,l;switch(e.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":l=e._top.value+5;break;case\"middle\":l=e._vcenter.value;break;case\"bottom\":l=e._bottom.value-5}switch(this.model.align){case\"left\":i=e._left.value+t;break;case\"center\":i=e._hcenter.value;break;case\"right\":i=e._right.value-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=e._left.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._right.value+5}switch(this.model.align){case\"left\":l=e._bottom.value-t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._top.value+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=e._right.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._left.value+5}switch(this.model.align){case\"left\":l=e._top.value+t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._bottom.value-t}}return[i,l]}render(){if(!this.model.visible)return void(\"css\"==this.model.render_mode&&s.undisplay(this.el));const{text:e}=this.model;if(null==e||0==e.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[t,i]=this._get_location(),l=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,e,t,i,l)}_get_size(){const{text:e}=this.model;if(null==e||0==e.length)return{width:0,height:0};{this.visuals.text.set_value(this.layer.ctx);const{width:t,ascent:i}=this.layer.ctx.measureText(e);return{width:t,height:i*this.visuals.text.text_line_height.value()+10}}}}i.TitleView=_,_.__name__=\"TitleView\";class c extends a.TextAnnotation{constructor(e){super(e)}static init_Title(){this.prototype.default_view=_,this.mixins([[\"border_\",o.Line],[\"background_\",o.Fill]]),this.define({text:[r.String],text_font:[r.Font,\"helvetica\"],text_font_size:[r.StringSpec,\"13px\"],text_font_style:[r.FontStyle,\"bold\"],text_color:[r.ColorSpec,\"#444444\"],text_alpha:[r.NumberSpec,1],text_line_height:[r.Number,1],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[r.Number,0]}),this.override({background_fill_color:null,border_line_color:null}),this.internal({text_align:[r.TextAlign,\"left\"],text_baseline:[r.TextBaseline,\"bottom\"]})}}i.Title=c,c.__name__=\"Title\",c.init_Title()},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(31),s=e(99),a=e(68),n=o.__importStar(e(18));class r extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){this._toolbar_view=await s.build_view(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push(e=>this._toolbar_view.set_visibility(e))}remove(){this._toolbar_view.remove(),super.remove()}render(){super.render(),this.model.visible?(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",a.position(this.el,this.panel.bbox),this._toolbar_view.render(),a.empty(this.el),this.el.appendChild(this._toolbar_view.el),a.display(this.el)):a.undisplay(this.el)}_get_size(){const{tools:e,logo:i}=this.model.toolbar;return{width:30*e.length+(null!=i?25:0),height:30}}}t.ToolbarPanelView=r,r.__name__=\"ToolbarPanelView\";class _ extends l.Annotation{constructor(e){super(e)}static init_ToolbarPanel(){this.prototype.default_view=r,this.define({toolbar:[n.Instance]})}}t.ToolbarPanel=_,_.__name__=\"ToolbarPanel\",_.init_ToolbarPanel()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(31),o=t(68),a=i.__importStar(t(18)),h=t(145),n=t(146),r=i.__importDefault(t(147));function c(t,e,s,i,l){switch(t){case\"horizontal\":return e<i?\"right\":\"left\";case\"vertical\":return s<l?\"below\":\"above\";default:return t}}s.compute_side=c;class d extends l.AnnotationView{initialize(){super.initialize(),this.plot_view.canvas_view.add_overlay(this.el),o.undisplay(this.el)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>this._draw_tips())}styles(){return[...super.styles(),r.default]}css_classes(){return super.css_classes().concat(h.bk_tooltip)}render(){this.model.visible&&this._draw_tips()}_draw_tips(){const{data:t}=this.model;if(o.empty(this.el),o.undisplay(this.el),this.model.custom?this.el.classList.add(h.bk_tooltip_custom):this.el.classList.remove(h.bk_tooltip_custom),0==t.length)return;const{frame:e}=this.plot_view;for(const[s,i,l]of t){if(this.model.inner_only&&!e.bbox.contains(s,i))continue;const t=o.div({},l);this.el.appendChild(t)}const[s,i]=t[t.length-1],l=c(this.model.attachment,s,i,e._hcenter.value,e._vcenter.value);this.el.classList.remove(n.bk_right),this.el.classList.remove(n.bk_left),this.el.classList.remove(n.bk_above),this.el.classList.remove(n.bk_below);let a;o.display(this.el);let r=0,d=0;switch(l){case\"right\":this.el.classList.add(n.bk_left),r=s+(this.el.offsetWidth-this.el.clientWidth)+10,a=i-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(n.bk_right),d=this.plot_view.layout.bbox.width-s+10,a=i-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(n.bk_above),a=i+(this.el.offsetHeight-this.el.clientHeight)+10,r=Math.round(s-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(n.bk_below),a=i-this.el.offsetHeight-10,r=Math.round(s-this.el.offsetWidth/2)}this.model.show_arrow&&this.el.classList.add(h.bk_tooltip_arrow),this.el.childNodes.length>0?(this.el.style.top=a+\"px\",this.el.style.left=r?r+\"px\":\"auto\",this.el.style.right=d?d+\"px\":\"auto\"):o.undisplay(this.el)}}s.TooltipView=d,d.__name__=\"TooltipView\";class _ extends l.Annotation{constructor(t){super(t)}static init_Tooltip(){this.prototype.default_view=d,this.define({attachment:[a.TooltipAttachment,\"horizontal\"],inner_only:[a.Boolean,!0],show_arrow:[a.Boolean,!0]}),this.override({level:\"overlay\"}),this.internal({data:[a.Any,[]],custom:[a.Any]})}clear(){this.data=[]}add(t,e,s){this.data=this.data.concat([[t,e,s]])}}s.Tooltip=_,_.__name__=\"Tooltip\",_.init_Tooltip()},\n      function _(o,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tooltip=\"bk-tooltip\",l.bk_tooltip_arrow=\"bk-tooltip-arrow\",l.bk_tooltip_custom=\"bk-tooltip-custom\",l.bk_tooltip_row_label=\"bk-tooltip-row-label\",l.bk_tooltip_row_value=\"bk-tooltip-row-value\",l.bk_tooltip_color_block=\"bk-tooltip-color-block\"},\n      function _(e,b,k){Object.defineProperty(k,\"__esModule\",{value:!0}),k.bk_active=\"bk-active\",k.bk_inline=\"bk-inline\",k.bk_left=\"bk-left\",k.bk_right=\"bk-right\",k.bk_above=\"bk-above\",k.bk_below=\"bk-below\",k.bk_up=\"bk-up\",k.bk_down=\"bk-down\",k.bk_side=function(e){switch(e){case\"above\":return k.bk_above;case\"below\":return k.bk_below;case\"left\":return k.bk_left;case\"right\":return k.bk_right}}},\n      function _(o,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root {\\n  /* Same border color used everywhere */\\n  /* Gray of icons */\\n}\\n.bk-root .bk-tooltip {\\n  font-weight: 300;\\n  font-size: 12px;\\n  position: absolute;\\n  padding: 5px;\\n  border: 1px solid #e5e5e5;\\n  color: #2f2f2f;\\n  background-color: white;\\n  pointer-events: none;\\n  opacity: 0.95;\\n  z-index: 100;\\n}\\n.bk-root .bk-tooltip > div:not(:first-child) {\\n  /* gives space when multiple elements are being hovered over */\\n  margin-top: 5px;\\n  border-top: #e5e5e5 1px dashed;\\n}\\n.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-left::before {\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right::after {\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-above::before {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  top: -10px;\\n  border-bottom-width: 10px;\\n  border-bottom-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-below::after {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  bottom: -10px;\\n  border-top-width: 10px;\\n  border-top-color: #909599;\\n}\\n.bk-root .bk-tooltip-row-label {\\n  text-align: right;\\n  color: #26aae1;\\n  /* blue from toolbar highlighting */\\n}\\n.bk-root .bk-tooltip-row-value {\\n  color: default;\\n  /* seems to be necessary for notebook */\\n}\\n.bk-root .bk-tooltip-color-block {\\n  width: 12px;\\n  height: 12px;\\n  margin-left: 5px;\\n  margin-right: 5px;\\n  outline: #dddddd solid 1px;\\n  display: inline-block;\\n}\\n'},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(31),o=e(76),a=e(75),n=e(23),h=i.__importStar(e(18));class _ extends r.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],r=\"height\"==t?i:s,o=\"height\"==t?s:i,a=\"height\"==t?e.yview:e.xview,n=\"height\"==t?e.xview:e.yview;let h,_,l;h=\"data\"==this.model.properties.lower.units?r.v_compute(this._lower):a.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?r.v_compute(this._upper):a.v_compute(this._upper),l=\"data\"==this.model.properties.base.units?o.v_compute(this._base):n.v_compute(this._base);const[d,p]=\"height\"==t?[1,0]:[0,1],c=[h,l],u=[_,l];this._lower_sx=c[d],this._lower_sy=c[p],this._upper_sx=u[d],this._upper_sy=u[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;t<s;t++)this.visuals.line.set_vectorize(e,t),e.beginPath(),e.moveTo(this._lower_sx[t],this._lower_sy[t]),e.lineTo(this._upper_sx[t],this._upper_sy[t]),e.stroke();const t=\"height\"==this.model.dimension?0:Math.PI/2;if(null!=this.model.lower_head)for(let s=0,i=this._lower_sx.length;s<i;s++)e.save(),e.translate(this._lower_sx[s],this._lower_sy[s]),e.rotate(t+Math.PI),this.model.lower_head.render(e,s),e.restore();if(null!=this.model.upper_head)for(let s=0,i=this._upper_sx.length;s<i;s++)e.save(),e.translate(this._upper_sx[s],this._upper_sy[s]),e.rotate(t),this.model.upper_head.render(e,s),e.restore()}}s.WhiskerView=_,_.__name__=\"WhiskerView\";class l extends r.Annotation{constructor(e){super(e)}static init_Whisker(){this.prototype.default_view=_,this.mixins(n.LineVector),this.define({lower:[h.DistanceSpec],lower_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],upper:[h.DistanceSpec],upper_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],base:[h.DistanceSpec],dimension:[h.Dimension,\"height\"],source:[h.Instance,()=>new o.ColumnDataSource],x_range_name:[h.String,\"default\"],y_range_name:[h.String,\"default\"]}),this.override({level:\"underlay\"})}}s.Whisker=l,l.__name__=\"Whisker\",l.init_Whisker()},\n      function _(i,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});var r=i(150);e.Axis=r.Axis;var s=i(152);e.CategoricalAxis=s.CategoricalAxis;var x=i(155);e.ContinuousAxis=x.ContinuousAxis;var A=i(156);e.DatetimeAxis=A.DatetimeAxis;var o=i(157);e.LinearAxis=o.LinearAxis;var t=i(170);e.LogAxis=t.LogAxis;var n=i(173);e.MercatorAxis=n.MercatorAxis},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(151),l=s.__importStar(e(23)),n=s.__importStar(e(18)),o=e(9),r=e(8),_=e(90),{abs:h,min:c,max:m}=Math;class d extends a.GuideRendererView{constructor(){super(...arguments),this.rotate=!0}get panel(){return this.layout}render(){if(!this.model.visible)return;const e={tick:this._tick_extent(),tick_label:this._tick_label_extents(),axis_label:this._axis_label_extent()},t=this.tick_coords,i=this.layer.ctx;i.save(),this._draw_rule(i,e),this._draw_major_ticks(i,e,t),this._draw_minor_ticks(i,e,t),this._draw_major_labels(i,e,t),this._draw_axis_label(i,e,t),null!=this._render&&this._render(i,e,t),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint());const e=this.model.properties;this.on_change(e.visible,()=>this.plot_view.request_layout())}get_size(){if(this.model.visible&&null==this.model.fixed_location){const e=this._get_size();return{width:0,height:Math.round(e)}}return{width:0,height:0}}_get_size(){return this._tick_extent()+this._tick_label_extent()+this._axis_label_extent()}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(e,t){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,l]=this.plot_view.map_to_screen(i,s,this.model.x_range_name,this.model.y_range_name),[n,o]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(e),e.beginPath(),e.moveTo(Math.round(a[0]+n*r),Math.round(l[0]+o*_));for(let t=1;t<a.length;t++){const i=Math.round(a[t]+n*r),s=Math.round(l[t]+o*_);e.lineTo(i,s)}e.stroke()}_draw_major_ticks(e,t,i){const s=this.model.major_tick_in,a=this.model.major_tick_out,l=this.visuals.major_tick_line;this._draw_ticks(e,i.major,s,a,l)}_draw_minor_ticks(e,t,i){const s=this.model.minor_tick_in,a=this.model.minor_tick_out,l=this.visuals.minor_tick_line;this._draw_ticks(e,i.minor,s,a,l)}_draw_major_labels(e,t,i){const s=i.major,a=this.compute_labels(s[this.dimension]),l=this.model.major_label_orientation,n=t.tick+this.model.major_label_standoff,o=this.visuals.major_label_text;this._draw_oriented_labels(e,a,s,l,this.panel.side,n,o)}_draw_axis_label(e,t,i){if(null==this.model.axis_label||0==this.model.axis_label.length||null!=this.model.fixed_location)return;let s,a;switch(this.panel.side){case\"above\":s=this.panel._hcenter.value,a=this.panel._bottom.value;break;case\"below\":s=this.panel._hcenter.value,a=this.panel._top.value;break;case\"left\":s=this.panel._right.value,a=this.panel._vcenter.value;break;case\"right\":s=this.panel._left.value,a=this.panel._vcenter.value;break;default:throw new Error(\"unknown side: \"+this.panel.side)}const l=[[s],[a]],n=t.tick+o.sum(t.tick_label)+this.model.axis_label_standoff,r=this.visuals.axis_label_text;this._draw_oriented_labels(e,[this.model.axis_label],l,\"parallel\",this.panel.side,n,r,\"screen\")}_draw_ticks(e,t,i,s,a){if(!a.doit)return;const[l,n]=t,[o,r]=this.plot_view.map_to_screen(l,n,this.model.x_range_name,this.model.y_range_name),[_,h]=this.normals,[c,m]=this.offsets,[d,u]=[_*(c-i),h*(m-i)],[b,x]=[_*(c+s),h*(m+s)];a.set_value(e);for(let t=0;t<o.length;t++){const i=Math.round(o[t]+b),s=Math.round(r[t]+x),a=Math.round(o[t]+d),l=Math.round(r[t]+u);e.beginPath(),e.moveTo(i,s),e.lineTo(a,l),e.stroke()}}_draw_oriented_labels(e,t,i,s,a,l,n,o=\"data\"){if(!n.doit||0==t.length)return;let _,h,c,m;if(\"screen\"==o)[_,h]=i,[c,m]=[0,0];else{const[e,t]=i;[_,h]=this.plot_view.map_to_screen(e,t,this.model.x_range_name,this.model.y_range_name),[c,m]=this.offsets}const[d,u]=this.normals,b=d*(c+l),x=u*(m+l);let f;n.set_value(e),this.panel.apply_label_text_heuristics(e,s),f=r.isString(s)?this.panel.get_label_angle_heuristic(s):-s;for(let i=0;i<_.length;i++){const s=Math.round(_[i]+b),a=Math.round(h[i]+x);e.translate(s,a),e.rotate(f),e.fillText(t[i],0,0),e.rotate(-f),e.translate(-s,-a)}}_axis_label_extent(){if(null==this.model.axis_label||\"\"==this.model.axis_label)return 0;const e=this.model.axis_label_standoff,t=this.visuals.axis_label_text;return this._oriented_labels_extent([this.model.axis_label],\"parallel\",this.panel.side,e,t)}_tick_extent(){return this.model.major_tick_out}_tick_label_extent(){return o.sum(this._tick_label_extents())}_tick_label_extents(){const e=this.tick_coords.major,t=this.compute_labels(e[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(t,i,this.panel.side,s,a)]}_oriented_labels_extent(e,t,i,s,a){if(0==e.length)return 0;const l=this.layer.ctx;let n,o;a.set_value(l),r.isString(t)?(n=1,o=this.panel.get_label_angle_heuristic(t)):(n=2,o=-t),o=Math.abs(o);const _=Math.cos(o),h=Math.sin(o);let c=0;for(let t=0;t<e.length;t++){const s=1.1*l.measureText(e[t]).width,a=.9*l.measureText(e[t]).ascent;let o;o=\"above\"==i||\"below\"==i?s*h+a/n*_:s*_+a/n*h,o>c&&(c=o)}return c>0&&(c+=s),c}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(e){const t=this.model.formatter.doFormat(e,this);for(let i=0;i<e.length;i++)e[i]in this.model.major_label_overrides&&(t[i]=this.model.major_label_overrides[e[i]]);return t}get offsets(){if(null!=this.model.fixed_location)return[0,0];const{frame:e}=this.plot_view;let[t,i]=[0,0];switch(this.panel.side){case\"below\":i=h(this.panel._top.value-e._bottom.value);break;case\"above\":i=h(this.panel._bottom.value-e._top.value);break;case\"right\":t=h(this.panel._left.value-e._right.value);break;case\"left\":t=h(this.panel._right.value-e._left.value)}return[t,i]}get ranges(){const e=this.dimension,t=(e+1)%2,{frame:i}=this.plot_view,s=[i.x_ranges[this.model.x_range_name],i.y_ranges[this.model.y_range_name]];return[s[e],s[t]]}get computed_bounds(){const[e]=this.ranges,t=this.model.bounds,i=[e.min,e.max];if(\"auto\"==t)return[e.min,e.max];if(r.isArray(t)){let e,s;const[a,l]=t,[n,o]=i;return h(a-l)>h(n-o)?(e=m(c(a,l),n),s=c(m(a,l),o)):(e=c(a,l),s=m(a,l)),[e,s]}throw new Error(`user bounds '${t}' not understood`)}get rule_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=[new Array(2),new Array(2)];return l[e][0]=Math.max(s,i.min),l[e][1]=Math.min(a,i.max),l[e][0]>l[e][1]&&(l[e][0]=l[e][1]=NaN),l[t][0]=this.loc,l[t][1]=this.loc,l}get tick_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=this.model.ticker.get_ticks(s,a,i,this.loc,{}),n=l.major,o=l.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;i<n.length;i++)n[i]<h||n[i]>c||(r[e].push(n[i]),r[t].push(this.loc));for(let i=0;i<o.length;i++)o[i]<h||o[i]>c||(_[e].push(o[i]),_[t].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:e}=this.model;if(null!=e){if(r.isNumber(e))return e;const[,t]=this.ranges;if(t instanceof _.FactorRange)return t.synthetic(e);throw new Error(\"unexpected\")}const[,t]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return t.start;case\"right\":case\"above\":return t.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}}i.AxisView=d,d.__name__=\"AxisView\";class u extends a.GuideRenderer{constructor(e){super(e)}static init_Axis(){this.prototype.default_view=d,this.mixins([[\"axis_\",l.Line],[\"major_tick_\",l.Line],[\"minor_tick_\",l.Line],[\"major_label_\",l.Text],[\"axis_label_\",l.Text]]),this.define({bounds:[n.Any,\"auto\"],ticker:[n.Instance],formatter:[n.Instance],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"],axis_label:[n.String,\"\"],axis_label_standoff:[n.Int,5],major_label_standoff:[n.Int,5],major_label_orientation:[n.Any,\"horizontal\"],major_label_overrides:[n.Any,{}],major_tick_in:[n.Number,2],major_tick_out:[n.Number,6],minor_tick_in:[n.Number,0],minor_tick_out:[n.Number,4],fixed_location:[n.Any,null]}),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})}}i.Axis=u,u.__name__=\"Axis\",u.init_Axis()},\n      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});const i=e(65);class n extends i.RendererView{}d.GuideRendererView=n,n.__name__=\"GuideRendererView\";class t extends i.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"guide\"})}}d.GuideRenderer=t,t.__name__=\"GuideRenderer\",t.init_GuideRenderer()},\n      function _(t,s,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),i=t(150),r=t(153),a=t(154),l=e.__importStar(t(23)),_=e.__importStar(t(18));class n extends i.AxisView{_render(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;t<e.tops.length-1;t++){let s,o;for(let i=n;i<e.factors.length;i++)if(e.factors[i][0]==e.tops[t+1]){[s,o]=[e.factors[i-1],e.factors[i]],n=i;break}const h=(e.synthetic(s)+e.synthetic(o))/2;h>i&&h<r&&(_[a].push(h),_[l].push(this.loc))}const h=this._tick_label_extent();this._draw_ticks(t,_,-3,h-6,this.visuals.separator_line)}_draw_major_labels(t,s,o){const e=this._get_factor_info();let i=s.tick+this.model.major_label_standoff;for(let o=0;o<e.length;o++){const[r,a,l,_]=e[o];this._draw_oriented_labels(t,r,a,l,this.panel.side,i,_),i+=s.tick_label[o]}}_tick_label_extents(){const t=this._get_factor_info(),s=[];for(const[o,,e,i]of t){const t=this._oriented_labels_extent(o,e,this.panel.side,this.model.major_label_standoff,i);s.push(t)}return s}_get_factor_info(){const[t]=this.ranges,[s,o]=this.computed_bounds,e=this.loc,i=this.model.ticker.get_ticks(s,o,t,e,{}),r=this.tick_coords,a=[];if(1==t.levels){const t=i.major,s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=i.major.map(t=>t[1]),s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=i.major.map(t=>t[2]),s=this.model.formatter.doFormat(t,this),o=i.mids.map(t=>t[1]);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([o,r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc,{}),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map(t=>this.loc),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map(t=>this.loc)),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map(t=>this.loc)),a}}o.CategoricalAxisView=n,n.__name__=\"CategoricalAxisView\";class h extends i.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=n,this.mixins([[\"separator_\",l.Line],[\"group_\",l.Text],[\"subgroup_\",l.Text]]),this.define({group_label_orientation:[_.Any,\"parallel\"],subgroup_label_orientation:[_.Any,\"parallel\"]}),this.override({ticker:()=>new r.CategoricalTicker,formatter:()=>new a.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})}}o.CategoricalAxis=h,h.__name__=\"CategoricalAxis\",h.init_CategoricalAxis()},\n      function _(t,c,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(112);class s extends o.Ticker{constructor(t){super(t)}get_ticks(t,c,e,o,s){return{major:this._collect(e.factors,e,t,c),minor:[],tops:this._collect(e.tops||[],e,t,c),mids:this._collect(e.mids||[],e,t,c)}}_collect(t,c,e,o){const s=[];for(const r of t){const t=c.synthetic(r);t>e&&t<o&&s.push(r)}return s}}e.CategoricalTicker=s,s.__name__=\"CategoricalTicker\"},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(114),c=e(9);class a extends o.TickFormatter{constructor(e){super(e)}doFormat(e,t){return c.copy(e)}}r.CategoricalTickFormatter=a,a.__name__=\"CategoricalTickFormatter\"},\n      function _(s,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=s(150);class t extends o.Axis{constructor(s){super(s)}}n.ContinuousAxis=t,t.__name__=\"ContinuousAxis\"},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(157),a=e(158),r=e(163);class n extends s.LinearAxisView{}i.DatetimeAxisView=n,n.__name__=\"DatetimeAxisView\";class _ extends s.LinearAxis{constructor(e){super(e)}static init_DatetimeAxis(){this.prototype.default_view=n,this.override({ticker:()=>new r.DatetimeTicker,formatter:()=>new a.DatetimeTickFormatter})}}i.DatetimeAxis=_,_.__name__=\"DatetimeAxis\",_.init_DatetimeAxis()},\n      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(150),n=e(155),r=e(113),a=e(109);class _ extends t.AxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class c extends n.ContinuousAxis{constructor(e){super(e)}static init_LinearAxis(){this.prototype.default_view=_,this.override({ticker:()=>new a.BasicTicker,formatter:()=>new r.BasicTickFormatter})}}s.LinearAxis=c,c.__name__=\"LinearAxis\",c.init_LinearAxis()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),i=r.__importDefault(t(159)),n=t(114),o=t(72),a=r.__importStar(t(18)),c=t(160),m=t(9),u=t(8);function h(t){return i.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map(t=>parseInt(t,10))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:i.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends n.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static init_DatetimeTickFormatter(){this.define({microseconds:[a.Array,[\"%fus\"]],milliseconds:[a.Array,[\"%3Nms\",\"%S.%3Ns\"]],seconds:[a.Array,[\"%Ss\"]],minsec:[a.Array,[\":%M:%S\"]],minutes:[a.Array,[\":%M\",\"%Mm\"]],hourmin:[a.Array,[\"%H:%M\"]],hours:[a.Array,[\"%Hh\",\"%H:%M\"]],days:[a.Array,[\"%m/%d\",\"%a%d\"]],months:[a.Array,[\"%m/%Y\",\"%b %Y\"]],years:[a.Array,[\"%Y\"]]})}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const t=+i.default(new Date),s=function(s){const e=s.map(s=>d(t,s).length),r=m.sort_by(m.zip(e,s),([t])=>t);return m.unzip(r)};this._width_formats={microseconds:s(this.microseconds),milliseconds:s(this.milliseconds),seconds:s(this.seconds),minsec:s(this.minsec),minutes:s(this.minutes),hourmin:s(this.hourmin),hours:s(this.hours),days:s(this.days),months:s(this.months),years:s(this.years)}}_get_resolution_str(t,s){const e=1.1*t;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return s>=60?\"minsec\":\"seconds\";case!(e<3600):return s>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(t,s){if(0==t.length)return[];const e=Math.abs(t[t.length-1]-t[0])/1e3,r=e/(t.length-1),i=this._get_resolution_str(r,e),[,[n]]=this._width_formats[i],a=[],c=l.indexOf(i),m={};for(const t of l)m[t]=0;m.seconds=5,m.minsec=4,m.minutes=4,m.hourmin=3,m.hours=3;for(const s of t){let t,e;try{e=h(s),t=d(s,n)}catch(t){o.logger.warn(\"unable to format tick for timestamp value \"+s),o.logger.warn(\" - \"+t),a.push(\"ERR\");continue}let r=!1,u=c;for(;0==e[m[l[u]]];){let n;if(u+=1,u==l.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!r){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){n=this._width_formats[l[c-1]][1][0],t=d(s,n);break}r=!0}n=this._width_formats[l[u]][1][0],t=d(s,n)}if(this.strip_leading_zeros){let s=t.replace(/^0+/g,\"\");s!=t&&isNaN(parseInt(s))&&(s=\"0\"+s),a.push(s)}else a.push(t)}return a}}e.DatetimeTickFormatter=_,_.__name__=\"DatetimeTickFormatter\",_.init_DatetimeTickFormatter()},\n      function _(e,t,n){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new Date(Date.UTC(n,t.month,Math.abs(o++)))}while(t.day[0]<7&&r.getUTCDay()!=t.day[0]);return(r={clock:t.clock,sort:r.getTime(),rule:t,save:6e4*t.save,offset:e.offset})[r.clock]=r.sort+6e4*t.time,r.posix?r.wallclock=r[r.clock]+(e.offset+t.saved):r.posix=r[r.clock]-(e.offset+t.saved),r}function t(t,n,r){var o,a,u,i,l,s,c,f=t[t.zone],h=[],T=new Date(r).getUTCFullYear(),g=1;for(o=1,a=f.length;o<a&&!(f[o][n]<=r);o++);if((u=f[o]).rules){for(s=t[u.rules],c=T+1;c>=T-g;--c)for(o=0,a=s.length;o<a;o++)s[o].from<=c&&c<=s[o].to?h.push(e(u,s[o],c)):s[o].to<c&&1==g&&(g=c-s[o].to);for(h.sort((function(e,t){return e.sort-t.sort})),o=0,a=h.length;o<a;o++)r>=h[o][n]&&h[o][h[o].clock]>u[h[o].clock]&&(i=h[o])}return i&&((l=/^(.*)\\/(.*)$/.exec(u.format))?i.abbrev=l[i.save?2:1]:i.abbrev=u.format.replace(/%s/,i.rule.letter)),i||u}function n(e,n){return\"UTC\"==e.zone?n:(e.entry=t(e,\"posix\",n),n+e.entry.offset+e.entry.save)}function 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Use `cultures` instead\"),a},r.cultures=function(){return i},r.zeroFormat=function(e){l=\"string\"==typeof e?e:null},r.defaultFormat=function(e){u=\"string\"==typeof e?e:\"0.0\"},r.defaultCurrencyFormat=function(e){\"string\"==typeof e?e:\"0$\"},r.validate=function(e,n){var t,i,a,o,l,u,c,s;if(\"string\"!=typeof e&&(e+=\"\",console.warn&&console.warn(\"Numbro.js: Value is not string. 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supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(9),a=e(110),s=e(164),r=e(165),c=e(168),_=e(169),m=e(167);class k extends s.CompositeTicker{constructor(e){super(e)}static init_DatetimeTicker(){this.override({num_minor_ticks:0,tickers:()=>[new a.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*m.ONE_MILLI,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:m.ONE_SECOND,max_interval:30*m.ONE_MINUTE,num_minor_ticks:0}),new 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min_interval(){return this.interval}get max_interval(){return this.interval}}i.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n      function _(t,e,n){function _(t){return new Date(t.getTime())}function O(t){const e=_(t);return e.setUTCDate(1),e.setUTCHours(0),e.setUTCMinutes(0),e.setUTCSeconds(0),e.setUTCMilliseconds(0),e}Object.defineProperty(n,\"__esModule\",{value:!0}),n.ONE_MILLI=1,n.ONE_SECOND=1e3,n.ONE_MINUTE=60*n.ONE_SECOND,n.ONE_HOUR=60*n.ONE_MINUTE,n.ONE_DAY=24*n.ONE_HOUR,n.ONE_MONTH=30*n.ONE_DAY,n.ONE_YEAR=365*n.ONE_DAY,n.copy_date=_,n.last_month_no_later_than=O,n.last_year_no_later_than=function(t){const e=O(t);return e.setUTCMonth(0),e}},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(166),s=t(167),a=r.__importStar(t(18)),o=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define({months:[a.Array,[]]})}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*s.ONE_MONTH:this.interval=12*s.ONE_MONTH}get_ticks_no_defaults(t,e,n,r){const i=function(t,e){const n=s.last_year_no_later_than(new Date(t)),r=s.last_year_no_later_than(new Date(e));r.setUTCFullYear(r.getUTCFullYear()+1);const i=[],a=n;for(;i.push(s.copy_date(a)),a.setUTCFullYear(a.getUTCFullYear()+1),!(a>r););return i}(t,e),a=this.months;return{major:o.concat(i.map(t=>a.map(e=>{const n=s.copy_date(t);return n.setUTCMonth(e),n}))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.MonthsTicker=_,_.__name__=\"MonthsTicker\",_.init_MonthsTicker()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(109),r=e(166),n=e(167);class _ extends r.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=n.ONE_YEAR,this.basic_ticker=new i.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=n.last_year_no_later_than(new Date(e)).getUTCFullYear(),_=n.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,_,a,i).major.map(e=>Date.UTC(e,0,1)).filter(a=>e<=a&&a<=t),minor:[]}}}a.YearsTicker=_,_.__name__=\"YearsTicker\"},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(150),o=e(155),n=e(171),r=e(172);class _ extends s.AxisView{}t.LogAxisView=_,_.__name__=\"LogAxisView\";class c extends o.ContinuousAxis{constructor(e){super(e)}static init_LogAxis(){this.prototype.default_view=_,this.override({ticker:()=>new r.LogTicker,formatter:()=>new n.LogTickFormatter})}}t.LogAxis=c,c.__name__=\"LogAxis\",c.init_LogAxis()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=t(114),a=t(113),n=i.__importStar(t(18));class c extends o.TickFormatter{constructor(t){super(t)}static 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e=this.get_interval(t,o,i),c=Math.floor(t/e),a=Math.ceil(o/e);if(h=s.range(c,a+1).filter(t=>0!=t).map(t=>t*e).filter(e=>t<=e&&e<=o),n>0&&h.length>0){const t=e/n,o=s.range(0,n).map(o=>o*t);for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*a),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=s.range(t-1,o+1,e).map(t=>c**t),n>0&&h.length>0){const t=c**e/n,o=s.range(1,n+1).map(o=>o*t);for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter(e=>t<=e&&e<=o),minor:r.filter(e=>t<=e&&e<=o)}}}e.LogTicker=n,n.__name__=\"LogTicker\",n.init_LogTicker()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(150),s=e(157),o=e(174),a=e(175);class c extends i.AxisView{}r.MercatorAxisView=c,c.__name__=\"MercatorAxisView\";class n extends s.LinearAxis{constructor(e){super(e)}static init_MercatorAxis(){this.prototype.default_view=c,this.override({ticker:()=>new a.MercatorTicker({dimension:\"lat\"}),formatter:()=>new o.MercatorTickFormatter({dimension:\"lat\"})})}}r.MercatorAxis=n,n.__name__=\"MercatorAxis\",n.init_MercatorAxis()},\n      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),n=r(113),i=o.__importStar(r(18)),c=r(32);class s extends n.BasicTickFormatter{constructor(r){super(r)}static init_MercatorTickFormatter(){this.define({dimension:[i.LatLon]})}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n<e;n++){const[e]=c.wgs84_mercator.inverse([r[n],t.loc]);o[n]=e}else for(let n=0;n<e;n++){const[,e]=c.wgs84_mercator.inverse([t.loc,r[n]]);o[n]=e}return super.doFormat(o,t)}}e.MercatorTickFormatter=s,s.__name__=\"MercatorTickFormatter\",s.init_MercatorTickFormatter()},\n      function _(r,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=r(1),s=r(109),i=n.__importStar(r(18)),t=r(32);class c extends s.BasicTicker{constructor(r){super(r)}static init_MercatorTicker(){this.define({dimension:[i.LatLon]})}get_ticks_no_defaults(r,o,e,n){if(null==this.dimension)throw new Error(\"MercatorTicker.dimension not configured\");let s,i,c;[r,o]=t.clip_mercator(r,o,this.dimension),\"lon\"===this.dimension?([s,c]=t.wgs84_mercator.inverse([r,e]),[i,c]=t.wgs84_mercator.inverse([o,e])):([c,s]=t.wgs84_mercator.inverse([e,r]),[c,i]=t.wgs84_mercator.inverse([e,o]));const a=super.get_ticks_no_defaults(s,i,e,n),_=[],f=[];if(\"lon\"===this.dimension){for(const r of a.major)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);_.push(o)}for(const r of a.minor)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);f.push(o)}}else{for(const r of a.major)if(t.in_bounds(r,\"lat\")){const[,o]=t.wgs84_mercator.forward([c,r]);_.push(o)}for(const r of 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s=r(e)[1];if(s){const t=s.getAttribute(\"transform\");let e;e=t?t+\" \"+d:d,s.setAttribute(\"transform\",e),_.appendChild(s)}}}else if(t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__createElement(\"image\");if(e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\"),o||l||h!==t.width||c!==t.height){const e=this.__document.createElement(\"canvas\");e.width=n,e.height=a,e.getContext(\"2d\").drawImage(t,o,l,h,c,0,0,n,a),t=e}e.setAttribute(\"transform\",d);const s=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",s),_.appendChild(e)}else if(t instanceof HTMLCanvasElement){const e=this.__createElement(\"image\");e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\");const s=this.__document.createElement(\"canvas\");s.width=n,s.height=a;const i=s.getContext(\"2d\");i.imageSmoothingEnabled=!1,i.drawImage(t,o,l,h,c,0,0,n,a),t=s,e.setAttribute(\"transform\",d),e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.toDataURL()),_.appendChild(e)}}createPattern(t,e){const s=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),i=n(this.__ids);let r;if(s.setAttribute(\"id\",i),s.setAttribute(\"width\",\"\"+t.width),s.setAttribute(\"height\",\"\"+t.height),t instanceof HTMLCanvasElement||t instanceof HTMLImageElement||t instanceof SVGImageElement){r=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\"),r.setAttribute(\"width\",\"\"+t.width),r.setAttribute(\"height\",\"\"+t.height);const e=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");r.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",e),s.appendChild(r),this.__defs.appendChild(s)}else t instanceof u&&(s.appendChild(t.__root.childNodes[1]),this.__defs.appendChild(s));return new _(s,this)}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}}s.SVGRenderingContext2D=u,u.__name__=\"SVGRenderingContext2D\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(185),_=e(121),n=e(130),r=e(131),i=e(186),g=e(90),c=e(188);class h extends c.LayoutItem{constructor(e,t,s,a,_={},n={}){super(),this.x_scale=e,this.y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=n,this._configure_scales()}map_to_screen(e,t,s=\"default\",a=\"default\"){return[this.xscales[s].v_compute(e),this.yscales[a].v_compute(t)]}_get_ranges(e,t){return Object.assign(Object.assign({},t),{default:e})}_get_scales(e,t,s){const c={};for(const h in t){const o=t[h];if((o instanceof i.DataRange1d||o instanceof r.Range1d)&&!(e instanceof _.ContinuousScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);if(o instanceof g.FactorRange&&!(e instanceof a.CategoricalScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&o instanceof i.DataRange1d&&(o.scale_hint=\"log\");const l=e.clone();l.setv({source_range:o,target_range:s}),c[h]=l}return c}_configure_frame_ranges(){this._h_target=new r.Range1d({start:this._left.value,end:this._right.value}),this._v_target=new r.Range1d({start:this._bottom.value,end:this._top.value})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._xscales=this._get_scales(this.x_scale,this._x_ranges,this._h_target),this._yscales=this._get_scales(this.y_scale,this._y_ranges,this._v_target)}_update_scales(){this._configure_frame_ranges();for(const e in this._xscales){this._xscales[e].target_range=this._h_target}for(const e in this._yscales){this._yscales[e].target_range=this._v_target}}_set_geometry(e,t){super._set_geometry(e,t),this._update_scales()}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get xscales(){return this._xscales}get yscales(){return this._yscales}}s.CartesianFrame=h,h.__name__=\"CartesianFrame\"},\n      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(122);class _ extends n.Scale{constructor(e){super(e)}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}t.CategoricalScale=_,_.__name__=\"CategoricalScale\"},\n      function _(t,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=t(1),a=t(187),s=t(81),l=t(72),_=e.__importStar(t(18)),o=e.__importStar(t(88)),r=t(9);class h extends a.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}static init_DataRange1d(){this.define({start:[_.Number],end:[_.Number],range_padding:[_.Number,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[_.Boolean,!1],follow:[_.StartEnd],follow_interval:[_.Number],default_span:[_.Number,2],only_visible:[_.Boolean,!1]}),this.internal({scale_hint:[_.String,\"auto\"]})}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const t=this.names;let i=this.renderers;if(0==i.length)for(const t of this.plots){const n=t.renderers.filter(t=>t instanceof s.GlyphRenderer);i=i.concat(n)}t.length>0&&(i=i.filter(i=>r.includes(t,i.name))),l.logger.debug(`computed ${i.length} renderers for ${this}`);for(const t of i)l.logger.trace(\" - \"+t);return i}_compute_plot_bounds(t,i){let n=o.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=o.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=o.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return e<i*a?e=i*a:a=e/i,n.x1=s+.5*e,n.x0=s-.5*e,n.y1=l+.5*a,n.y0=l-.5*a,n}_compute_min_max(t,i){let n,e,a=o.empty();for(const i of t)a=o.union(a,i);return[n,e]=0==i?[a.x0,a.x1]:[a.y0,a.y1],[n,e]}_compute_range(t,i){const n=this.range_padding;let e,a;if(null!=this._initial_start&&(t=this._initial_start),null!=this._initial_end&&(i=this._initial_end),\"log\"==this.scale_hint){let s,_;if((isNaN(t)||!isFinite(t)||t<=0)&&(t=isNaN(i)||!isFinite(i)||i<=0?.1:i/100,l.logger.warn(\"could not determine minimum data value for log axis, DataRange1d using value \"+t)),(isNaN(i)||!isFinite(i)||i<=0)&&(i=isNaN(t)||!isFinite(t)||t<=0?10:100*t,l.logger.warn(\"could not determine maximum data value for log axis, DataRange1d using value \"+i)),i==t)_=this.default_span+.001,s=Math.log(t)/Math.log(10);else{let e,a;\"percent\"==this.range_padding_units?(e=Math.log(t)/Math.log(10),a=Math.log(i)/Math.log(10),_=(a-e)*(1+n)):(e=Math.log(t-n)/Math.log(10),a=Math.log(i+n)/Math.log(10),_=a-e),s=(e+a)/2}e=10**(s-_/2),a=10**(s+_/2)}else{let s;s=i==t?this.default_span:\"percent\"==this.range_padding_units?(i-t)*(1+n):i-t+2*n;const l=(i+t)/2;e=l-s/2,a=l+s/2}let s=1;this.flipped&&([e,a]=[a,e],s=-1);const _=this.follow_interval;return null!=_&&Math.abs(e-a)>_&&(\"start\"==this.follow?a=e+s*_:\"end\"==this.follow&&(e=a-s*_)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);const[h,d]=[this.start,this.end];if(o!=h||r!=d){const t={};o!=h&&(t.start=o),r!=d&&(t.end=r),this.setv(t)}\"auto\"==this.bounds&&this.setv({bounds:[o,r]},{silent:!0}),this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=h,h.__name__=\"DataRange1d\",h.init_DataRange1d()},\n      function _(e,a,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),r=e(91),s=n.__importStar(e(18));class _ extends r.Range{constructor(e){super(e)}static init_DataRange(){this.define({names:[s.Array,[]],renderers:[s.Array,[]]})}}t.DataRange=_,_.__name__=\"DataRange\",_.init_DataRange()},\n      function _(a,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=a(189);t.Sizeable=e.Sizeable;var r=a(190);t.Layoutable=r.Layoutable,t.LayoutItem=r.LayoutItem;var n=a(191);t.HStack=n.HStack,t.VStack=n.VStack,t.AnchorLayout=n.AnchorLayout;var u=a(192);t.Grid=u.Grid,t.Row=u.Row,t.Column=u.Column;var c=a(193);t.ContentBox=c.ContentBox,t.VariadicBox=c.VariadicBox},\n      function _(h,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const{min:e,max:w}=Math;class d{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new d({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new d({width:h!=1/0?w(this.width,h):this.width,height:t!=1/0?w(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=w(this.width,h),this.height=w(this.height,t)}narrowed_to({width:h,height:t}){return new d({width:e(this.width,h),height:e(this.height,t)})}narrow_to({width:h,height:t}){this.width=e(this.width,h),this.height=e(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,s=this.height+i+e;return new d({width:w,height:s})}shrink_by({left:h,right:t,top:i,bottom:e}){const s=w(this.width-h-t,0),n=w(this.height-i-e,0);return new d({width:s,height:n})}map(h,t){return new d({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=d,d.__name__=\"Sizeable\"},\n      function _(i,t,h){Object.defineProperty(h,\"__esModule\",{value:!0});const e=i(189),s=i(88),{min:n,max:g,round:a}=Math;class r{constructor(){this._bbox=new s.BBox,this._inner_bbox=new s.BBox;const i=this;this._top={get value(){return i.bbox.top}},this._left={get value(){return i.bbox.left}},this._width={get value(){return i.bbox.width}},this._height={get value(){return i.bbox.height}},this._right={get value(){return i.bbox.right}},this._bottom={get value(){return i.bbox.bottom}},this._hcenter={get value(){return i.bbox.hcenter}},this._vcenter={get value(){return i.bbox.vcenter}}}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set_sizing(i){const t=i.width_policy||\"fit\",h=i.width,e=null!=i.min_width?i.min_width:0,s=null!=i.max_width?i.max_width:1/0,n=i.height_policy||\"fit\",g=i.height,a=null!=i.min_height?i.min_height:0,r=null!=i.max_height?i.max_height:1/0,l=i.aspect,_=i.margin||{top:0,right:0,bottom:0,left:0},d=!1!==i.visible,o=i.halign||\"start\",u=i.valign||\"start\";this._sizing={width_policy:t,min_width:e,width:h,max_width:s,height_policy:n,min_height:a,height:g,max_height:r,aspect:l,margin:_,visible:d,halign:o,valign:u,size:{width:h,height:g},min_size:{width:e,height:a},max_size:{width:s,height:r}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,t||i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:s,height_policy:n}=this.sizing,g=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=s&&\"fixed\"!=n)if(s==n){const s=t,n=a(t/e),g=a(h*e),r=h;Math.abs(i.width-s)+Math.abs(i.height-n)<=Math.abs(i.width-g)+Math.abs(i.height-r)?(t=s,h=n):(t=g,h=r)}else g(s,n)?h=a(t/e):t=a(h*e);else\"fixed\"==s?h=a(t/e):\"fixed\"==n&&(t=a(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,s=new e.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(s),g=this.clip_size(n),a=t(g.width),r=h(g.height),l=this.apply_aspect(s,{width:a,height:r});return Object.assign(Object.assign({},n),l)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new s.BBox({left:0,top:0,width:h,height:e});let g=void 0;if(null!=t.inner){const{left:i,top:n,right:a,bottom:r}=t.inner;g=new s.BBox({left:i,top:n,right:h-a,bottom:e-r})}this.set_geometry(n,g)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_width(i){return g(this.sizing.min_width,n(i,this.sizing.max_width))}clip_height(i){return g(this.sizing.min_height,n(i,this.sizing.max_height))}clip_size({width:i,height:t}){return{width:this.clip_width(i),height:this.clip_height(t)}}}h.Layoutable=r,r.__name__=\"Layoutable\";class l extends r{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;let e,s;if(i.width==1/0)e=null!=this.sizing.width?this.sizing.width:0;else switch(t){case\"fixed\":e=null!=this.sizing.width?this.sizing.width:0;break;case\"min\":e=null!=this.sizing.width?n(i.width,this.sizing.width):0;break;case\"fit\":e=null!=this.sizing.width?n(i.width,this.sizing.width):i.width;break;case\"max\":e=null!=this.sizing.width?g(i.width,this.sizing.width):i.width}if(i.height==1/0)s=null!=this.sizing.height?this.sizing.height:0;else switch(h){case\"fixed\":s=null!=this.sizing.height?this.sizing.height:0;break;case\"min\":s=null!=this.sizing.height?n(i.height,this.sizing.height):0;break;case\"fit\":s=null!=this.sizing.height?n(i.height,this.sizing.height):i.height;break;case\"max\":s=null!=this.sizing.height?g(i.height,this.sizing.height):i.height}return{width:e,height:s}}}h.LayoutItem=l,l.__name__=\"LayoutItem\";class _ extends r{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=_,_.__name__=\"ContentLayoutable\"},\n      function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const o=t(190),r=t(88);class i extends o.Layoutable{constructor(){super(...arguments),this.children=[]}}h.Stack=i,i.__name__=\"Stack\";class s extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e+=o.width,h=Math.max(h,o.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{top:h,bottom:o}=t;let{left:i}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({left:i,width:e,top:h,bottom:o})),i+=e}}}h.HStack=s,s.__name__=\"HStack\";class n extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e=Math.max(e,o.width),h+=o.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{left:h,right:o}=t;let{top:i}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({top:i,height:e,left:h,right:o})),i+=e}}}h.VStack=n,n.__name__=\"VStack\";class c extends o.Layoutable{constructor(){super(...arguments),this.children=[]}_measure(t){let e=0,h=0;for(const{layout:o}of this.children){const r=o.measure(t);e=Math.max(e,r.width),h=Math.max(h,r.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);for(const{layout:e,anchor:h,margin:o}of this.children){const{left:i,right:s,top:n,bottom:c,hcenter:a,vcenter:_}=t,{width:g,height:d}=e.measure(t);let m;switch(h){case\"top_left\":m=new r.BBox({left:i+o,top:n+o,width:g,height:d});break;case\"top_center\":m=new r.BBox({hcenter:a,top:n+o,width:g,height:d});break;case\"top_right\":m=new r.BBox({right:s-o,top:n+o,width:g,height:d});break;case\"bottom_right\":m=new r.BBox({right:s-o,bottom:c-o,width:g,height:d});break;case\"bottom_center\":m=new r.BBox({hcenter:a,bottom:c-o,width:g,height:d});break;case\"bottom_left\":m=new r.BBox({left:i+o,bottom:c-o,width:g,height:d});break;case\"center_left\":m=new r.BBox({left:i+o,vcenter:_,width:g,height:d});break;case\"center\":m=new r.BBox({hcenter:a,vcenter:_,width:g,height:d});break;case\"center_right\":m=new r.BBox({right:s-o,vcenter:_,width:g,height:d})}e.set_geometry(m)}}}h.AnchorLayout=c,c.__name__=\"AnchorLayout\"},\n      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(189),o=t(190),n=t(8),r=t(88),h=t(9),{max:l,round:c}=Math;class a{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}a.__name__=\"DefaultMap\";class g{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=l(this._nrows,s+1),this._ncols=l(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter(({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1).map(({data:t})=>t)}row(t){return this._items.filter(({span:i})=>i.r0<=t&&t<=i.r1).map(({data:t})=>t)}col(t){return this._items.filter(({span:i})=>i.c0<=t&&t<=i.c1).map(({data:t})=>t)}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new g;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}g.__name__=\"Container\";class p extends o.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0,this.absolute=!1}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}_init(){super._init();const t=new g;for(const{layout:i,row:s,col:e,row_span:o,col_span:n}of this.items)if(i.sizing.visible){const r=s,h=e,l=s+(null!=o?o:1)-1,c=e+(null!=n?n:1)-1;t.add({r0:r,c0:h,r1:l,c1:c},i)}const{nrows:i,ncols:s}=t,e=new Array(i);for(let s=0;s<i;s++){const i=(()=>{const t=n.isPlainObject(this.rows)?this.rows[s]||this.rows[\"*\"]:this.rows;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",height:t}:n.isString(t)?{policy:t}:t})(),o=i.align||\"auto\";if(\"fixed\"==i.policy)e[s]={policy:\"fixed\",height:i.height,align:o};else if(\"min\"==i.policy)e[s]={policy:\"min\",align:o};else if(\"fit\"==i.policy||\"max\"==i.policy)e[s]={policy:i.policy,flex:i.flex||1,align:o};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");h.some(t.row(s),t=>t.is_height_expanding())?e[s]={policy:\"max\",flex:1,align:o}:e[s]={policy:\"min\",align:o}}}const o=new Array(s);for(let i=0;i<s;i++){const s=(()=>{const t=n.isPlainObject(this.cols)?this.cols[i]||this.cols[\"*\"]:this.cols;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",width:t}:n.isString(t)?{policy:t}:t})(),e=s.align||\"auto\";if(\"fixed\"==s.policy)o[i]={policy:\"fixed\",width:s.width,align:e};else if(\"min\"==s.policy)o[i]={policy:\"min\",align:e};else if(\"fit\"==s.policy||\"max\"==s.policy)o[i]={policy:s.policy,flex:s.flex||1,align:e};else{if(\"auto\"!=s.policy)throw new Error(\"unrechable\");h.some(t.col(i),t=>t.is_width_expanding())?o[i]={policy:\"max\",flex:1,align:e}:o[i]={policy:\"min\",align:e}}}const[r,l]=n.isNumber(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:t,nrows:i,ncols:s,rows:e,cols:o,rspacing:r,cspacing:l}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:h.sum(t)+(s-1)*o,width:h.sum(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:o,rows:n,cols:r,rspacing:h,cspacing:a}=this._state,p=new Array(s);for(let t=0;t<s;t++){const i=n[t];p[t]=\"fixed\"==i.policy?i.height:0}const _=new Array(o);for(let t=0;t<o;t++){const i=r[t];_[t]=\"fixed\"==i.policy?i.width:0}const f=new g;return i.foreach((i,s)=>{const{r0:o,c0:g,r1:d,c1:w}=i,u=(d-o)*h,m=(w-g)*a;let y=0;for(let i=o;i<=d;i++)y+=t(i,g).height;y+=u;let x=0;for(let i=g;i<=w;i++)x+=t(o,i).width;x+=m;const b=s.measure({width:x,height:y});f.add(i,{layout:s,size_hint:b});const z=new e.Sizeable(b).grow_by(s.sizing.margin);z.height-=u,z.width-=m;const j=[];for(let t=o;t<=d;t++){const i=n[t];\"fixed\"==i.policy?z.height-=i.height:j.push(t)}if(z.height>0){const t=c(z.height/j.length);for(const i of j)p[i]=l(p[i],t)}const O=[];for(let t=g;t<=w;t++){const i=r[t];\"fixed\"==i.policy?z.width-=i.width:O.push(t)}if(z.width>0){const t=c(z.width/O.length);for(const i of O)_[i]=l(_[i],t)}}),{size:this._measure_totals(p,_),row_heights:p,col_widths:_,size_hints:f}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:r}=this._state,h=this._measure_cells((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}});let a;a=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:h.size.height;let g,p=0;for(let t=0;t<i;t++){const i=e[t];\"fit\"==i.policy||\"max\"==i.policy?p+=i.flex:a-=h.row_heights[t]}if(a-=(i-1)*n,0!=p&&a>0)for(let t=0;t<i;t++){const i=e[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(a*(i.flex/p));a-=s,h.row_heights[t]=s,p-=i.flex}}else if(a<0){let t=0;for(let s=0;s<i;s++){\"fixed\"!=e[s].policy&&t++}let s=-a;for(let o=0;o<i;o++){if(\"fixed\"!=e[o].policy){const i=h.row_heights[o],e=c(s/t);h.row_heights[o]=l(i-e,0),s-=e>i?i:e,t--}}}g=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:h.size.width;let _=0;for(let t=0;t<s;t++){const i=o[t];\"fit\"==i.policy||\"max\"==i.policy?_+=i.flex:g-=h.col_widths[t]}if(g-=(s-1)*r,0!=_&&g>0)for(let t=0;t<s;t++){const i=o[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(g*(i.flex/_));g-=s,h.col_widths[t]=s,_-=i.flex}}else if(g<0){let t=0;for(let i=0;i<s;i++){\"fixed\"!=o[i].policy&&t++}let i=-g;for(let e=0;e<s;e++){if(\"fixed\"!=o[e].policy){const s=h.col_widths[e],o=c(i/t);h.col_widths[e]=l(s-o,0),i-=o>s?s:o,t--}}}const{row_heights:f,col_widths:d,size_hints:w}=this._measure_cells((t,i)=>({width:h.col_widths[i],height:h.row_heights[t]}));return{size:this._measure_totals(f,d),row_heights:f,col_widths:d,size_hints:w}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:h,col_widths:g,size_hints:p}=this._measure_grid(t),_=this._state.rows.map((t,i)=>Object.assign(Object.assign({},t),{top:0,height:h[i],get bottom(){return this.top+this.height}})),f=this._state.cols.map((t,i)=>Object.assign(Object.assign({},t),{left:0,width:g[i],get right(){return this.left+this.width}})),d=p.map((t,i)=>Object.assign(Object.assign({},i),{outer:new r.BBox,inner:new r.BBox}));for(let i=0,e=this.absolute?t.top:0;i<s;i++){const t=_[i];t.top=e,e+=t.height+o}for(let i=0,s=this.absolute?t.left:0;i<e;i++){const t=f[i];t.left=s,s+=t.width+n}d.foreach(({r0:t,c0:i,r1:s,c1:e},h)=>{const{layout:l,size_hint:a}=h,{sizing:g}=l,{width:p,height:d}=a,w=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=f[e].width;return s}(i,e),u=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=_[e].height;return s}(t,s),m=i==e&&\"auto\"!=f[i].align?f[i].align:g.halign,y=t==s&&\"auto\"!=_[t].align?_[t].align:g.valign;let x=f[i].left;\"start\"==m?x+=g.margin.left:\"center\"==m?x+=c((w-p)/2):\"end\"==m&&(x+=w-g.margin.right-p);let b=_[t].top;\"start\"==y?b+=g.margin.top:\"center\"==y?b+=c((u-d)/2):\"end\"==y&&(b+=u-g.margin.bottom-d),h.outer=new r.BBox({left:x,top:b,width:p,height:d})});const w=_.map(()=>({start:new a(()=>0),end:new a(()=>0)})),u=f.map(()=>({start:new a(()=>0),end:new a(()=>0)}));d.foreach(({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:r}=o;null!=r&&(w[t].start.apply(n.top,t=>l(t,r.top)),w[s].end.apply(_[s].bottom-n.bottom,t=>l(t,r.bottom)),u[i].start.apply(n.left,t=>l(t,r.left)),u[e].end.apply(f[e].right-n.right,t=>l(t,r.right)))}),d.foreach(({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:h}=o;function l({left:t,right:i,top:s,bottom:e}){const o=h.width-t-i,n=h.height-s-e;return new r.BBox({left:t,top:s,width:o,height:n})}if(null!=n.inner){let r=l(n.inner);if(!1!==n.align){const o=w[t].start.get(h.top),n=w[s].end.get(_[s].bottom-h.bottom),c=u[i].start.get(h.left),a=u[e].end.get(f[e].right-h.right);try{r=l({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=r}else o.inner=h}),d.foreach((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)})}}s.Grid=p,p.__name__=\"Grid\";class _ extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:0,col:i})),this.rows=\"fit\"}}s.Row=_,_.__name__=\"Row\";class f extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:i,col:0})),this.cols=\"fit\"}}s.Column=f,f.__name__=\"Column\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(190),i=e(189),a=e(68);class c extends n.ContentLayoutable{constructor(e){super(),this.content_size=a.unsized(e,()=>new i.Sizeable(a.size(e)))}_content_size(){return this.content_size}}s.ContentBox=c,c.__name__=\"ContentBox\";class o extends n.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new i.Sizeable(e).bounded_to(this.sizing.size);return a.sized(this.el,t,()=>{const e=new i.Sizeable(a.content_size(this.el)),{border:t,padding:s}=a.extents(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)})}}s.VariadicBox=o,o.__name__=\"VariadicBox\";class r extends o{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=r,r.__name__=\"CachedVariadicBox\"},\n      function _(e,r,u){Object.defineProperty(u,\"__esModule\",{value:!0});var a=e(195);u.Expression=a.Expression;var n=e(196);u.Stack=n.Stack;var o=e(197);u.CumSum=o.CumSum},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(71);class i extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}v_compute(e){this._connected.has(e)||(this.connect(e.change,()=>this._result.delete(e)),this.connect(e.patching,()=>this._result.delete(e)),this.connect(e.streaming,()=>this._result.delete(e)),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=i,i.__name__=\"Expression\"},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),o=t(195),r=i.__importStar(t(18));class s extends o.Expression{constructor(t){super(t)}static init_Stack(){this.define({fields:[r.Array,[]]})}_v_compute(t){var e;const n=null!==(e=t.get_length())&&void 0!==e?e:0,i=new Float64Array(n);for(const e of this.fields){const o=t.data[e];if(null!=o)for(let t=0,e=Math.min(n,o.length);t<e;t++)i[t]+=o[t]}return i}}n.Stack=s,s.__name__=\"Stack\",s.init_Stack()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),u=e(195),o=i.__importStar(e(18));class r extends u.Expression{constructor(e){super(e)}static init_CumSum(){this.define({field:[o.String],include_zero:[o.Boolean,!1]})}_v_compute(e){const t=new Float64Array(e.get_length()||0),n=e.data[this.field],i=this.include_zero?1:0;t[0]=this.include_zero?0:n[0];for(let e=1;e<t.length;e++)t[e]=t[e-1]+n[e-i];return t}}n.CumSum=r,r.__name__=\"CumSum\",r.init_CumSum()},\n      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});var l=e(199);t.BooleanFilter=l.BooleanFilter;var i=e(201);t.CustomJSFilter=i.CustomJSFilter;var o=e(200);t.Filter=o.Filter;var F=e(202);t.GroupFilter=F.GroupFilter;var a=e(203);t.IndexFilter=a.IndexFilter},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(200),i=o.__importStar(e(18)),r=e(72),a=e(9),s=e(8);class g extends l.Filter{constructor(e){super(e)}static init_BooleanFilter(){this.define({booleans:[i.Array,null]})}compute_indices(e){const n=this.booleans;return null!=n&&n.length>0?a.every(n,s.isBoolean)?(n.length!==e.get_length()&&r.logger.warn(this+\": length of booleans doesn't match data source\"),a.range(0,n.length).filter(e=>!0===n[e])):(r.logger.warn(this+\": booleans should be array of booleans, defaulting to no filtering\"),null):(null!=n&&0==n.length?r.logger.warn(this+\": booleans is empty, defaulting to no filtering\"):r.logger.warn(this+\": booleans was not set, defaulting to no filtering\"),null)}}t.BooleanFilter=g,g.__name__=\"BooleanFilter\",g.init_BooleanFilter()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),l=i.__importStar(e(18)),o=e(8),s=e(9),a=e(72);class f extends n.Model{constructor(e){super(e)}static init_Filter(){this.define({filter:[l.Array,null]})}compute_indices(e){const t=this.filter;return null!=t?o.isArrayOf(t,o.isBoolean)?s.range(0,t.length).filter(e=>!0===t[e]):o.isArrayOf(t,o.isInteger)?t:(a.logger.warn(this+\": filter should either be array of only booleans or only integers, defaulting to no filtering\"),null):(a.logger.warn(this+\": filter was not set to be an array, defaulting to no filtering\"),null)}}r.Filter=f,f.__name__=\"Filter\",f.init_Filter()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),r=t(200),n=i.__importStar(t(18)),u=t(17),c=t(24);class o extends r.Filter{constructor(t){super(t)}static init_CustomJSFilter(){this.define({args:[n.Any,{}],code:[n.String,\"\"]})}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const t=c.use_strict(this.code);return new Function(...this.names,\"source\",t)}compute_indices(t){return this.filter=this.func(...this.values,t),super.compute_indices(t)}}s.CustomJSFilter=o,o.__name__=\"CustomJSFilter\",o.init_CustomJSFilter()},\n      function _(t,n,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),r=t(200),o=e.__importStar(t(18)),u=t(72),l=t(9);class s extends r.Filter{constructor(t){super(t),this.indices=null}static init_GroupFilter(){this.define({column_name:[o.String],group:[o.String]})}compute_indices(t){const n=t.get_column(this.column_name);return null==n?(u.logger.warn(\"group filter: groupby column not found in data source\"),null):(this.indices=l.range(0,t.get_length()||0).filter(t=>n[t]===this.group),0===this.indices.length&&u.logger.warn(`group filter: group '${this.group}' did not match any values in column '${this.column_name}'`),this.indices)}}i.GroupFilter=s,s.__name__=\"GroupFilter\",s.init_GroupFilter()},\n      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),r=e(200),s=t.__importStar(e(18)),l=e(72),d=e(8),o=e(9);class c extends r.Filter{constructor(e){super(e)}static init_IndexFilter(){this.define({indices:[s.Array,null]})}compute_indices(e){return null!=this.indices?o.every(this.indices,d.isInteger)?this.indices:(l.logger.warn(this+\": indices should be array of integers, defaulting to no filtering\"),null):(l.logger.warn(this+\": indices was not set, defaulting to no filtering\"),null)}}n.IndexFilter=c,c.__name__=\"IndexFilter\",c.init_IndexFilter()},\n      function _(r,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});var e=r(113);a.BasicTickFormatter=e.BasicTickFormatter;var c=r(154);a.CategoricalTickFormatter=c.CategoricalTickFormatter;var i=r(158);a.DatetimeTickFormatter=i.DatetimeTickFormatter;var o=r(205);a.FuncTickFormatter=o.FuncTickFormatter;var m=r(171);a.LogTickFormatter=m.LogTickFormatter;var F=r(174);a.MercatorTickFormatter=F.MercatorTickFormatter;var k=r(206);a.NumeralTickFormatter=k.NumeralTickFormatter;var T=r(207);a.PrintfTickFormatter=T.PrintfTickFormatter;var v=r(114);a.TickFormatter=v.TickFormatter},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),s=t(114),i=r.__importStar(t(18)),c=t(17),a=t(24);class u extends s.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map((t,e,r)=>n(t,e,r,...this.values))}}n.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n      function 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t.map(t=>o.sprintf(this.format,t))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var v=a(209);r.AnnularWedge=v.AnnularWedge;var l=a(210);r.Annulus=l.Annulus;var t=a(211);r.Arc=t.Arc;var i=a(212);r.Bezier=i.Bezier;var n=a(213);r.Circle=n.Circle;var u=a(214);r.CenterRotatable=u.CenterRotatable;var c=a(215);r.Ellipse=c.Ellipse;var g=a(216);r.EllipseOval=g.EllipseOval;var A=a(89);r.Glyph=A.Glyph;var p=a(95);r.HArea=p.HArea;var s=a(217);r.HBar=s.HBar;var d=a(219);r.HexTile=d.HexTile;var R=a(220);r.Image=R.Image;var o=a(222);r.ImageRGBA=o.ImageRGBA;var y=a(223);r.ImageURL=y.ImageURL;var h=a(83);r.Line=h.Line;var m=a(225);r.MultiLine=m.MultiLine;var B=a(226);r.MultiPolygons=B.MultiPolygons;var P=a(227);r.Oval=P.Oval;var G=a(94);r.Patch=G.Patch;var H=a(228);r.Patches=H.Patches;var I=a(229);r.Quad=I.Quad;var L=a(230);r.Quadratic=L.Quadratic;var M=a(231);r.Ray=M.Ray;var O=a(232);r.Rect=O.Rect;var x=a(233);r.Segment=x.Segment;var C=a(234);r.Step=C.Step;var E=a(235);r.Text=E.Text;var Q=a(97);r.VArea=Q.VArea;var S=a(236);r.VBar=S.VBar;var T=a(237);r.Wedge=T.Wedge;var V=a(84);r.XYGlyph=V.XYGlyph},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),o=e(10),h=e(79);class u extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius,this._angle=new Float32Array(this._start_angle.length);for(let e=0,t=this._start_angle.length;e<t;e++)this._angle[e]=this._end_angle[e]-this._start_angle[e]}_render(e,t,{sx:s,sy:i,_start_angle:r,_angle:n,sinner_radius:a,souter_radius:_}){const o=this.model.properties.direction.value();for(const h of t)isNaN(s[h]+i[h]+a[h]+_[h]+r[h]+n[h])||(e.translate(s[h],i[h]),e.rotate(r[h]),e.moveTo(_[h],0),e.beginPath(),e.arc(0,0,_[h],0,n[h],o),e.rotate(n[h]),e.lineTo(a[h],0),e.arc(0,0,a[h],0,-n[h],!o),e.closePath(),e.rotate(-n[h]-r[h]),e.translate(-s[h],-i[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,h),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,h),e.stroke()))}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,a,_,u;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,_=i+this.max_outer_radius,a=r-this.max_outer_radius,u=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,_]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,o=s+this.max_outer_radius;[a,u]=this.renderer.yscale.r_invert(r,o)}const d=[];for(const e of this.index.indices({x0:n,x1:_,y0:a,y1:u})){const t=this.souter_radius[e]**2,s=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[_,o]=this.renderer.yscale.r_compute(r,this._y[e]),h=(n-a)**2+(_-o)**2;h<=t&&h>=s&&d.push([e,h])}const l=this.model.properties.direction.value(),c=[];for(const[e,i]of d){const r=Math.atan2(s-this.sy[e],t-this.sx[e]);o.angle_between(-r,-this._start_angle[e],-this._end_angle[e],l)&&c.push([e,i])}return h.Selection.from_hits(c)}draw_legend_for_index(e,t,s){n.generic_area_legend(this.visuals,e,t,s)}_scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+t*Math.cos(s),y:this.sy[e]+t*Math.sin(s)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}s.AnnularWedgeView=u,u.__name__=\"AnnularWedgeView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=u,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],inner_radius:[_.DistanceSpec],outer_radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.AnnularWedge=d,d.__name__=\"AnnularWedge\",d.init_AnnularWedge()},\n      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(18)),_=s(28),u=s(79);class o extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius}_render(s,i,{sx:e,sy:t,sinner_radius:r,souter_radius:a}){for(const n of i)if(!isNaN(e[n]+t[n]+r[n]+a[n])){if(this.visuals.fill.doit){if(this.visuals.fill.set_vectorize(s,n),s.beginPath(),_.is_ie)for(const i of[!1,!0])s.arc(e[n],t[n],r[n],0,Math.PI,i),s.arc(e[n],t[n],a[n],Math.PI,0,!i);else s.arc(e[n],t[n],r[n],0,2*Math.PI,!0),s.arc(e[n],t[n],a[n],2*Math.PI,0,!1);s.fill()}this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),s.beginPath(),s.arc(e[n],t[n],r[n],0,2*Math.PI),s.moveTo(e[n]+a[n],t[n]),s.arc(e[n],t[n],a[n],0,2*Math.PI),s.stroke())}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,_,o;if(\"data\"==this.model.properties.outer_radius.units)a=t-this.max_outer_radius,_=t+this.max_outer_radius,n=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const s=i-this.max_outer_radius,t=i+this.max_outer_radius;[a,_]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_outer_radius,u=e+this.max_outer_radius;[n,o]=this.renderer.yscale.r_invert(r,u)}const h=[];for(const s of this.index.indices({x0:a,x1:_,y0:n,y1:o})){const i=this.souter_radius[s]**2,e=this.sinner_radius[s]**2,[a,n]=this.renderer.xscale.r_compute(t,this._x[s]),[_,u]=this.renderer.yscale.r_compute(r,this._y[s]),o=(a-n)**2+(_-u)**2;o<=i&&o>=e&&h.push([s,o])}return u.Selection.from_hits(h)}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,_=new Array(n);_[a]=(i+t)/2;const u=new Array(n);u[a]=(e+r)/2;const o=.5*Math.min(Math.abs(t-i),Math.abs(r-e)),h=new Array(n);h[a]=.4*o;const d=new Array(n);d[a]=.8*o,this._render(s,[a],{sx:_,sy:u,sinner_radius:h,souter_radius:d})}}e.AnnulusView=o,o.__name__=\"AnnulusView\";class h extends r.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=o,this.mixins([a.LineVector,a.FillVector]),this.define({inner_radius:[n.DistanceSpec],outer_radius:[n.DistanceSpec]})}}e.Annulus=h,h.__name__=\"Annulus\",h.init_Annulus()},\n      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(1),r=e(84),n=e(92),a=e(23),_=t.__importStar(e(18));class c extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,i,{sx:s,sy:t,sradius:r,_start_angle:n,_end_angle:a}){if(this.visuals.line.doit){const _=this.model.properties.direction.value();for(const c of i)isNaN(s[c]+t[c]+r[c]+n[c]+a[c])||(e.beginPath(),e.arc(s[c],t[c],r[c],n[c],a[c],_),this.visuals.line.set_vectorize(e,c),e.stroke())}}draw_legend_for_index(e,i,s){n.generic_line_legend(this.visuals,e,i,s)}}s.ArcView=c,c.__name__=\"ArcView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=c,this.mixins(a.LineVector),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.Arc=d,d.__name__=\"Arc\",d.init_Arc()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),n=t(85),c=t(89),o=t(92);function r(t,e,i,s,n,c,o,r){const h=[],_=[[],[]];for(let _=0;_<=2;_++){let a,x,l;if(0===_?(x=6*t-12*i+6*n,a=-3*t+9*i-9*n+3*o,l=3*i-3*t):(x=6*e-12*s+6*c,a=-3*e+9*s-9*c+3*r,l=3*s-3*e),Math.abs(a)<1e-12){if(Math.abs(x)<1e-12)continue;const t=-l/x;0<t&&t<1&&h.push(t);continue}const y=x*x-4*l*a,u=Math.sqrt(y);if(y<0)continue;const d=(-x+u)/(2*a);0<d&&d<1&&h.push(d);const f=(-x-u)/(2*a);0<f&&f<1&&h.push(f)}let a=h.length;const x=a;for(;a--;){const x=h[a],l=1-x,y=l*l*l*t+3*l*l*x*i+3*l*x*x*n+x*x*x*o;_[0][a]=y;const u=l*l*l*e+3*l*l*x*s+3*l*x*x*c+x*x*x*r;_[1][a]=u}return _[0][x]=t,_[1][x]=e,_[0][x+1]=o,_[1][x+1]=r,[Math.min(..._[0]),Math.max(..._[1]),Math.max(..._[0]),Math.min(..._[1])]}class h extends c.GlyphView{_index_data(){const t=[];for(let e=0,i=this._x0.length;e<i;e++){if(isNaN(this._x0[e]+this._x1[e]+this._y0[e]+this._y1[e]+this._cx0[e]+this._cy0[e]+this._cx1[e]+this._cy1[e]))continue;const[i,s,n,c]=r(this._x0[e],this._y0[e],this._x1[e],this._y1[e],this._cx0[e],this._cy0[e],this._cx1[e],this._cy1[e]);t.push({x0:i,y0:s,x1:n,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sx0:i,sy0:s,sx1:n,sy1:c,scx0:o,scy0:r,scx1:h,scy1:_}){if(this.visuals.line.doit)for(const a of e)isNaN(i[a]+s[a]+n[a]+c[a]+o[a]+r[a]+h[a]+_[a])||(t.beginPath(),t.moveTo(i[a],s[a]),t.bezierCurveTo(o[a],r[a],h[a],_[a],n[a],c[a]),this.visuals.line.set_vectorize(t,a),t.stroke())}draw_legend_for_index(t,e,i){o.generic_line_legend(this.visuals,t,e,i)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}i.BezierView=h,h.__name__=\"BezierView\";class _ extends c.Glyph{constructor(t){super(t)}static init_Bezier(){this.prototype.default_view=h,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx0\",\"cy0\"],[\"cx1\",\"cy1\"]]),this.mixins(s.LineVector)}}i.Bezier=_,_.__name__=\"Bezier\",_.init_Bezier()},\n      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(93)),h=t.__importStar(s(18)),d=s(9),_=s(12),l=s(79);class c extends r.XYGlyphView{_map_data(){if(null!=this._radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this._radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.max(s,i[e]));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.min(s,i[e]));break}}else this.sradius=this._radius,this.max_size=2*this.max_radius;else this.sradius=_.map(this._size,s=>s/2)}_mask_data(){const[s,i]=this.renderer.plot_view.frame.bbox.ranges;let e,t,r,a;if(null!=this._radius&&\"data\"==this.model.properties.radius.units){const n=s.start,h=s.end;[e,r]=this.renderer.xscale.r_invert(n,h),e-=this.max_radius,r+=this.max_radius;const d=i.start,_=i.end;[t,a]=this.renderer.yscale.r_invert(d,_),t-=this.max_radius,a+=this.max_radius}else{const n=s.start-this.max_size,h=s.end+this.max_size;[e,r]=this.renderer.xscale.r_invert(n,h);const d=i.start-this.max_size,_=i.end+this.max_size;[t,a]=this.renderer.yscale.r_invert(d,_)}return this.index.indices({x0:e,x1:r,y0:t,y1:a})}_render(s,i,{sx:e,sy:t,sradius:r}){for(const a of i)isNaN(e[a]+t[a]+r[a])||(s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,a),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.stroke()))}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,h,d;if(null!=this._radius&&\"data\"==this.model.properties.radius.units)a=t-this.max_radius,n=t+this.max_radius,h=r-this.max_radius,d=r+this.max_radius;else{const s=i-this.max_size,t=i+this.max_size;[a,n]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size,_=e+this.max_size;[h,d]=this.renderer.yscale.r_invert(r,_)}const _=this.index.indices({x0:a,x1:n,y0:h,y1:d}),c=[];if(null!=this._radius&&\"data\"==this.model.properties.radius.units)for(const s of _){const i=this.sradius[s]**2,[e,a]=this.renderer.xscale.r_compute(t,this._x[s]),[n,h]=this.renderer.yscale.r_compute(r,this._y[s]),d=(e-a)**2+(n-h)**2;d<=i&&c.push([s,d])}else for(const s of _){const t=this.sradius[s]**2,r=(this.sx[s]-i)**2+(this.sy[s]-e)**2;r<=t&&c.push([s,r])}return l.Selection.from_hits(c)}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=this.index.indices({x0:r,x1:a,y0:n,y1:h});return new l.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),_=this.index.indices({x0:a,x1:n,y0:h,y1:d});return new l.Selection({indices:_})}_hit_poly(s){const{sx:i,sy:e}=s,t=d.range(0,this.sx.length),r=[];for(let s=0,a=t.length;s<a;s++){const a=t[s];n.point_in_poly(this.sx[s],this.sy[s],i,e)&&r.push(a)}return new l.Selection({indices:r})}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,h=new Array(n);h[a]=(i+t)/2;const d=new Array(n);d[a]=(e+r)/2;const _=new Array(n);_[a]=.2*Math.min(Math.abs(t-i),Math.abs(r-e)),this._render(s,[a],{sx:h,sy:d,sradius:_})}}e.CircleView=c,c.__name__=\"CircleView\";class o extends r.XYGlyph{constructor(s){super(s)}static init_Circle(){this.prototype.default_view=c,this.mixins([a.LineVector,a.FillVector]),this.define({angle:[h.AngleSpec,0],size:[h.DistanceSpec,{units:\"screen\",value:4}],radius:[h.DistanceSpec,void 0,{optional:!0}],radius_dimension:[h.RadiusDimension,\"x\"]})}}e.Circle=o,o.__name__=\"Circle\",o.init_Circle()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=e(1),i=e(84),l=e(23),s=a.__importStar(e(18));class c extends i.XYGlyphView{}n.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class o extends i.XYGlyph{constructor(e){super(e)}static init_CenterRotatable(){this.mixins([l.LineVector,l.FillVector]),this.define({angle:[s.AngleSpec,0],width:[s.DistanceSpec],height:[s.DistanceSpec]})}}n.CenterRotatable=o,o.__name__=\"CenterRotatable\",o.init_CenterRotatable()},\n      function _(e,l,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(216);class t extends s.EllipseOvalView{}i.EllipseView=t,t.__name__=\"EllipseView\";class _ extends s.EllipseOval{constructor(e){super(e)}static init_Ellipse(){this.prototype.default_view=t}}i.Ellipse=_,_.__name__=\"Ellipse\",_.init_Ellipse()},\n      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),h=t(214),r=e.__importStar(t(93)),a=t(79);class _ extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"):this.sw=this._width,\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"):this.sh=this._height}_render(t,s,{sx:i,sy:e,sw:h,sh:r,_angle:a}){for(const _ of s)isNaN(i[_]+e[_]+h[_]+r[_]+a[_])||(t.beginPath(),t.ellipse(i[_],e[_],h[_]/2,r[_]/2,a[_],0,2*Math.PI),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,_),t.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,_),t.stroke()))}_hit_point(t){let s,i,e,h,_,n,l,d,o,x;const{sx:m,sy:c}=t,w=this.renderer.xscale.invert(m),p=this.renderer.yscale.invert(c);\"data\"==this.model.properties.width.units?(s=w-this.max_width,i=w+this.max_width):(l=m-this.max_width,d=m+this.max_width,[s,i]=this.renderer.xscale.r_invert(l,d)),\"data\"==this.model.properties.height.units?(e=p-this.max_height,h=p+this.max_height):(o=c-this.max_height,x=c+this.max_height,[e,h]=this.renderer.yscale.r_invert(o,x));const y=this.index.indices({x0:s,x1:i,y0:e,y1:h}),u=[];for(const t of y)_=r.point_in_ellipse(m,c,this._angle[t],this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),_&&([l,d]=this.renderer.xscale.r_compute(w,this._x[t]),[o,x]=this.renderer.yscale.r_compute(p,this._y[t]),n=(l-d)**2+(o-x)**2,u.push([t,n]));return a.Selection.from_hits(u)}draw_legend_for_index(t,{x0:s,y0:i,x1:e,y1:h},r){const a=r+1,_=new Array(a);_[r]=(s+e)/2;const n=new Array(a);n[r]=(i+h)/2;const l=this.sw[r]/this.sh[r],d=.8*Math.min(Math.abs(e-s),Math.abs(h-i)),o=new Array(a),x=new Array(a);l>1?(o[r]=d,x[r]=d/l):(o[r]=d*l,x[r]=d),this._render(t,[r],{sx:_,sy:n,sw:o,sh:x,_angle:[0]})}_bounds({x0:t,x1:s,y0:i,y1:e}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:i-this.max_h2,y1:e+this.max_h2}}}i.EllipseOvalView=_,_.__name__=\"EllipseOvalView\";class n extends h.CenterRotatable{constructor(t){super(t)}}i.EllipseOval=n,n.__name__=\"EllipseOval\"},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class _ extends h.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return this.sy[t]}_index_data(){return this._index_box(this._y.length)}_lrtb(t){return[Math.min(this._left[t],this._right[t]),Math.max(this._left[t],this._right[t]),this._y[t]+.5*this._height[t],this._y[t]-.5*this._height[t]]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new Float64Array(t),this.sbottom=new Float64Array(t);for(let s=0;s<t;s++)this.stop[s]=this.sy[s]-this.sh[s]/2,this.sbottom[s]=this.sy[s]+this.sh[s]/2;this._clamp_viewport()}}e.HBarView=_,_.__name__=\"HBarView\";class a extends h.Box{constructor(t){super(t)}static init_HBar(){this.prototype.default_view=_,this.coords([[\"left\",\"y\"]]),this.define({height:[r.NumberSpec],right:[r.CoordinateSpec]}),this.override({left:0})}}e.HBar=a,a.__name__=\"HBar\",a.init_HBar()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),r=t(85),n=t(89),h=t(92),o=t(79);class a extends n.GlyphView{get_anchor_point(t,e,i){const s=Math.min(this.sleft[e],this.sright[e]),r=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),h=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:s,y:n};case\"top_center\":return{x:(s+r)/2,y:n};case\"top_right\":return{x:r,y:n};case\"bottom_left\":return{x:s,y:h};case\"bottom_center\":return{x:(s+r)/2,y:h};case\"bottom_right\":return{x:r,y:h};case\"center_left\":return{x:s,y:(n+h)/2};case\"center\":return{x:(s+r)/2,y:(n+h)/2};case\"center_right\":return{x:r,y:(n+h)/2};default:return null}}_index_box(t){const e=[];for(let i=0;i<t;i++){const[t,s,r,n]=this._lrtb(i);!isNaN(t+s+r+n)&&isFinite(t+s+r+n)&&e.push({x0:Math.min(t,s),y0:Math.min(r,n),x1:Math.max(s,t),y1:Math.max(r,n),i})}return new r.SpatialIndex(e)}_render(t,e,{sleft:i,sright:s,stop:r,sbottom:n}){for(const h of e)isNaN(i[h]+r[h]+s[h]+n[h])||(t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()),this.visuals.hatch.doit2(t,h,()=>{t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.stroke()))}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,i=this.stop.length;for(let s=0;s<i;s++)this.stop[s]=Math.max(this.stop[s],e.start),this.sbottom[s]=Math.min(this.sbottom[s],e.end),this.sleft[s]=Math.max(this.sleft[s],t.start),this.sright[s]=Math.min(this.sright[s],t.end)}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){const{sx:e,sy:i}=t,s=this.renderer.xscale.invert(e),r=this.renderer.yscale.invert(i),n=this.index.indices({x0:s,y0:r,x1:s,y1:r});return new o.Selection({indices:n})}_hit_span(t){const{sx:e,sy:i}=t;let s;if(\"v\"==t.direction){const t=this.renderer.yscale.invert(i),e=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(e.start,e.end);s=this.index.indices({x0:r,y0:t,x1:n,y1:t})}else{const t=this.renderer.xscale.invert(e),i=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(i.start,i.end);s=this.index.indices({x0:t,y0:r,x1:t,y1:n})}return new o.Selection({indices:s})}draw_legend_for_index(t,e,i){h.generic_area_legend(this.visuals,t,e,i)}}i.BoxView=a,a.__name__=\"BoxView\";class c extends n.Glyph{constructor(t){super(t)}static init_Box(){this.mixins([s.LineVector,s.FillVector,s.HatchVector])}}i.Box=c,c.__name__=\"Box\",c.init_Box()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(89),n=i.__importStar(e(93)),o=i.__importStar(e(18)),a=e(23),l=e(85),h=e(92),c=e(79);class _ extends r.GlyphView{scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}_set_data(){const e=this._q.length,t=this.model.size,s=this.model.aspect_scale;if(this._x=new Float64Array(e),this._y=new Float64Array(e),\"pointytop\"==this.model.orientation)for(let i=0;i<e;i++)this._x[i]=t*Math.sqrt(3)*(this._q[i]+this._r[i]/2)/s,this._y[i]=3*-t/2*this._r[i];else for(let i=0;i<e;i++)this._x[i]=3*t/2*this._q[i],this._y[i]=-t*Math.sqrt(3)*(this._r[i]+this._q[i]/2)*s}_index_data(){let e=this.model.size,t=Math.sqrt(3)*e/2;\"flattop\"==this.model.orientation?([t,e]=[e,t],e*=this.model.aspect_scale):t/=this.model.aspect_scale;const s=[];for(let i=0;i<this._x.length;i++){const r=this._x[i],n=this._y[i];!isNaN(r+n)&&isFinite(r+n)&&s.push({x0:r-t,y0:n-e,x1:r+t,y1:n+e,i})}return new l.SpatialIndex(s)}map_data(){[this.sx,this.sy]=this.map_to_screen(this._x,this._y),[this.svx,this.svy]=this._get_unscaled_vertices()}_get_unscaled_vertices(){const e=this.model.size,t=this.model.aspect_scale;if(\"pointytop\"==this.model.orientation){const s=this.renderer.yscale,i=this.renderer.xscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))/t,o=r/2;return[[0,-n,-n,0,n,n],[r,o,-o,-r,-o,o]]}{const s=this.renderer.xscale,i=this.renderer.yscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))*t,o=r/2;return[[r,o,-o,-r,-o,o],[0,-n,-n,0,n,n]]}}_render(e,t,{sx:s,sy:i,svx:r,svy:n,_scale:o}){for(const a of t)if(!isNaN(s[a]+i[a]+o[a])){e.translate(s[a],i[a]),e.beginPath();for(let t=0;t<6;t++)e.lineTo(r[t]*o[a],n[t]*o[a]);e.closePath(),e.translate(-s[a],-i[a]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,a),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,a),e.stroke())}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s),o=this.index.indices({x0:i,y0:r,x1:i,y1:r}),a=[];for(const e of o)n.point_in_poly(t-this.sx[e],s-this.sy[e],this.svx,this.svy)&&a.push(e);return new c.Selection({indices:a})}_hit_span(e){const{sx:t,sy:s}=e;let i;if(\"v\"==e.direction){const e=this.renderer.yscale.invert(s),t=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(t.start,t.end);i=this.index.indices({x0:r,y0:e,x1:n,y1:e})}else{const e=this.renderer.xscale.invert(t),s=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(s.start,s.end);i=this.index.indices({x0:e,y0:r,x1:e,y1:n})}return new c.Selection({indices:i})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:r}=e,[n,o]=this.renderer.xscale.r_invert(t,s),[a,l]=this.renderer.yscale.r_invert(i,r),h=this.index.indices({x0:n,x1:o,y0:a,y1:l});return new c.Selection({indices:h})}draw_legend_for_index(e,t,s){h.generic_area_legend(this.visuals,e,t,s)}}s.HexTileView=_,_.__name__=\"HexTileView\";class d extends r.Glyph{constructor(e){super(e)}static init_HexTile(){this.prototype.default_view=_,this.coords([[\"r\",\"q\"]]),this.mixins([a.LineVector,a.FillVector]),this.define({size:[o.Number,1],aspect_scale:[o.Number,1],scale:[o.NumberSpec,1],orientation:[o.HexTileOrientation,\"pointytop\"]}),this.override({line_color:null})}}s.HexTile=d,d.__name__=\"HexTile\",d.init_HexTile()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(1),i=e(221),n=e(115),s=_.__importStar(e(18));class r extends i.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,()=>this._update_image())}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.plot_view.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}a.ImageView=r,r.__name__=\"ImageView\";class o extends i.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=r,this.define({color_mapper:[s.Instance,()=>new n.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})}}a.Image=o,o.__name__=\"Image\",o.init_Image()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(84),h=s.__importStar(e(18)),n=e(79),_=e(85),r=e(9),d=e(26);class l extends a.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_render(e,t,{image_data:i,sx:s,sy:a,sw:h,sh:n}){const _=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const _ of t){if(null==i[_]||isNaN(s[_]+a[_]+h[_]+n[_]))continue;const t=a[_];e.translate(0,t),e.scale(1,-1),e.translate(0,-t),e.drawImage(i[_],0|s[_],0|a[_],h[_],n[_]),e.translate(0,t),e.scale(1,-1),e.translate(0,-t)}e.setImageSmoothingEnabled(_)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this._image.length;t<i;t++){if(null!=e&&e.indexOf(t)<0)continue;const i=this._image[t];let s;d.is_NDArray(i)?(s=i,this._height[t]=i.shape[0],this._width[t]=i.shape[1]):(s=r.concat(i),this._height[t]=i.length,this._width[t]=i[0].length);const a=this._flat_img_to_buf8(s);this._set_image_data_from_buffer(t,a)}}_index_data(){const e=[];for(let t=0,i=this._x.length;t<i;t++){const[i,s,a,h]=this._lrtb(t);!isNaN(i+s+a+h)&&isFinite(i+s+a+h)&&e.push({x0:i,y0:h,x1:s,y1:a,i:t})}return new _.SpatialIndex(e)}_lrtb(e){const t=this.renderer.xscale.source_range,i=this._x[e],s=t.is_reversed?i-this._dw[e]:i+this._dw[e],a=this.renderer.yscale.source_range,h=this._y[e],n=a.is_reversed?h-this._dh[e]:h+this._dh[e],[_,r]=i<s?[i,s]:[s,i],[d,l]=h<n?[h,n]:[n,h];return[_,r,l,d]}_set_width_heigh_data(){null!=this.image_data&&this.image_data.length==this._image.length||(this.image_data=new Array(this._image.length)),null!=this._width&&this._width.length==this._image.length||(this._width=new Array(this._image.length)),null!=this._height&&this._height.length==this._image.length||(this._height=new Array(this._image.length))}_get_or_create_canvas(e){const t=this.image_data[e];if(null!=t&&t.width==this._width[e]&&t.height==this._height[e])return t;{const t=document.createElement(\"canvas\");return t.width=this._width[e],t.height=this._height[e],t}}_set_image_data_from_buffer(e,t){const i=this._get_or_create_canvas(e),s=i.getContext(\"2d\"),a=s.getImageData(0,0,this._width[e],this._height[e]);a.data.set(t),s.putImageData(a,0,0),this.image_data[e]=i}_map_data(){switch(this.model.properties.dw.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,this._dw,\"edge\",this.model.dilate);break;case\"screen\":this.sw=this._dw}switch(this.model.properties.dh.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,this._dh,\"edge\",this.model.dilate);break;case\"screen\":this.sh=this._dh}}_image_index(e,t,i){const[s,a,h,n]=this._lrtb(e),_=this._width[e],r=this._height[e],d=(a-s)/_,l=(h-n)/r;let g=Math.floor((t-s)/d),o=Math.floor((i-n)/l);return this.renderer.xscale.source_range.is_reversed&&(g=_-g-1),this.renderer.yscale.source_range.is_reversed&&(o=r-o-1),{index:e,dim1:g,dim2:o,flat_index:o*_+g}}_hit_point(e){const{sx:t,sy:i}=e,s=this.renderer.xscale.invert(t),a=this.renderer.yscale.invert(i),h=this.index.indices({x0:s,x1:s,y0:a,y1:a}),_=new n.Selection;for(const e of h)t!=1/0&&i!=1/0&&_.image_indices.push(this._image_index(e,s,a));return _}}i.ImageBaseView=l,l.__name__=\"ImageBaseView\";class g extends a.XYGlyph{constructor(e){super(e)}static init_ImageBase(){this.define({image:[h.NumberSpec],dw:[h.DistanceSpec],dh:[h.DistanceSpec],dilate:[h.Boolean,!1],global_alpha:[h.Number,1]})}}i.ImageBase=g,g.__name__=\"ImageBase\",g.init_ImageBase()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(221),i=e(8);class n extends _.ImageBaseView{_flat_img_to_buf8(e){let t;return t=i.isArray(e)?new Uint32Array(e):e,new Uint8Array(t.buffer)}}a.ImageRGBAView=n,n.__name__=\"ImageRGBAView\";class r extends _.ImageBase{constructor(e){super(e)}static init_ImageRGBA(){this.prototype.default_view=n}}a.ImageRGBA=r,r.__name__=\"ImageRGBA\",r.init_ImageRGBA()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),a=i.__importStar(e(18)),n=e(12),h=e(85),l=e(224);class _ extends r.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1}initialize(){super.initialize(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_index_data(){return new h.SpatialIndex([])}_set_data(){null!=this.image&&this.image.length==this._url.length||(this.image=n.map(this._url,()=>null));const{retry_attempts:e,retry_timeout:t}=this.model;for(let s=0,i=this._url.length;s<i;s++){const i=this._url[s];null!=i&&\"\"!=i&&new l.ImageLoader(i,{loaded:e=>{this.image[s]=e,this.renderer.request_render()},attempts:e+1,timeout:t})}const s=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,r=this._x.length,a=new Array(s?2*r:r),h=new Array(i?2*r:r);for(let e=0;e<r;e++)a[e]=this._x[e],h[e]=this._y[e];if(s)for(let e=0;e<r;e++)a[r+e]=this._x[e]+this._w[e];if(i)for(let e=0;e<r;e++)h[r+e]=this._y[e]+this._h[e];const _=n.min(a),o=n.max(a),d=n.min(h),c=n.max(h);this._bounds_rect={x0:_,x1:o,y0:d,y1:c}}has_finished(){return super.has_finished()&&1==this._images_rendered}_map_data(){const e=null!=this.model.w?this._w:n.map(this._x,()=>NaN),t=null!=this.model.h?this._h:n.map(this._x,()=>NaN);switch(this.model.properties.w.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,e,\"edge\",this.model.dilate);break;case\"screen\":this.sw=e}switch(this.model.properties.h.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,t,\"edge\",this.model.dilate);break;case\"screen\":this.sh=t}}_render(e,t,{image:s,sx:i,sy:r,sw:a,sh:n,_angle:h}){const{frame:l}=this.renderer.plot_view;e.rect(l._left.value+1,l._top.value+1,l._width.value-2,l._height.value-2),e.clip();let _=!0;for(const l of t){if(isNaN(i[l]+r[l]+h[l]))continue;const t=s[l];null!=t?this._render_image(e,l,t,i,r,a,n,h):_=!1}_&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,i,r){switch(e){case\"top_left\":return[t,s];case\"top_center\":return[t-i/2,s];case\"top_right\":return[t-i,s];case\"center_right\":return[t-i,s-r/2];case\"bottom_right\":return[t-i,s-r];case\"bottom_center\":return[t-i/2,s-r];case\"bottom_left\":return[t,s-r];case\"center_left\":return[t,s-r/2];case\"center\":return[t-i/2,s-r/2]}}_render_image(e,t,s,i,r,a,n,h){isNaN(a[t])&&(a[t]=s.width),isNaN(n[t])&&(n[t]=s.height);const{anchor:l}=this.model,[_,o]=this._final_sx_sy(l,i[t],r[t],a[t],n[t]);e.save(),e.globalAlpha=this.model.global_alpha;const d=a[t]/2,c=n[t]/2;h[t]?(e.translate(_,o),e.translate(d,c),e.rotate(h[t]),e.translate(-d,-c),e.drawImage(s,0,0,a[t],n[t]),e.translate(d,c),e.rotate(-h[t]),e.translate(-d,-c),e.translate(-_,-o)):e.drawImage(s,_,o,a[t],n[t]),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=_,_.__name__=\"ImageURLView\";class o extends r.XYGlyph{constructor(e){super(e)}static init_ImageURL(){this.prototype.default_view=_,this.define({url:[a.StringSpec],anchor:[a.Anchor,\"top_left\"],global_alpha:[a.Number,1],angle:[a.AngleSpec,0],w:[a.DistanceSpec],h:[a.DistanceSpec],dilate:[a.Boolean,!1],retry_attempts:[a.Number,0],retry_timeout:[a.Number,0]})}}s.ImageURL=o,o.__name__=\"ImageURL\",o.init_ImageURL()},\n      function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(72);class a{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:a=1}=e;this.promise=new Promise((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const a=`unable to load ${i} image after ${t} attempts`;if(s.logger.warn(a),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());s.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout(()=>this._image.src=i,a)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i})}get finished(){return this._finished}get image(){return this._image}}t.ImageLoader=a,a.__name__=\"ImageLoader\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(85),l=t(23),o=i.__importStar(t(93)),r=t(9),h=t(17),_=t(89),c=t(92),a=t(79);class x extends _.GlyphView{_index_data(){const t=[];for(let e=0,s=this._xs.length;e<s;e++){if(null==this._xs[e]||0===this._xs[e].length)continue;const s=this._xs[e],i=[];for(let t=0,e=s.length;t<e;t++){const e=s[t];isNaN(e)||i.push(e)}const n=this._ys[e],l=[];for(let t=0,e=n.length;t<e;t++){const e=n[t];isNaN(e)||l.push(e)}const[o,h]=[r.min(i),r.max(i)],[_,c]=[r.min(l),r.max(l)];t.push({x0:o,y0:_,x1:h,y1:c,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sxs:s,sys:i}){for(const n of e){const[e,l]=[s[n],i[n]];this.visuals.line.set_vectorize(t,n);for(let s=0,i=e.length;s<i;s++)0!=s?isNaN(e[s])||isNaN(l[s])?(t.stroke(),t.beginPath()):t.lineTo(e[s],l[s]):(t.beginPath(),t.moveTo(e[s],l[s]));t.stroke()}}_hit_point(t){const e={x:t.sx,y:t.sy};let s=9999;const i=new Map;for(let t=0,n=this.sxs.length;t<n;t++){const n=Math.max(2,this.visuals.line.cache_select(\"line_width\",t)/2);let l=null;for(let i=0,r=this.sxs[t].length-1;i<r;i++){const r={x:this.sxs[t][i],y:this.sys[t][i]},h={x:this.sxs[t][i+1],y:this.sys[t][i+1]},_=o.dist_to_segment(e,r,h);_<n&&_<s&&(s=_,l=[i])}null!=l&&i.set(t,l)}return new a.Selection({indices:[...i.keys()],multiline_indices:h.to_object(i)})}_hit_span(t){const{sx:e,sy:s}=t;let i,n;\"v\"===t.direction?(i=this.renderer.yscale.invert(s),n=this._ys):(i=this.renderer.xscale.invert(e),n=this._xs);const l=new Map;for(let t=0,e=n.length;t<e;t++){const e=[];for(let s=0,l=n[t].length-1;s<l;s++)n[t][s]<=i&&i<=n[t][s+1]&&e.push(s);e.length>0&&l.set(t,e)}return new a.Selection({indices:[...l.keys()],multiline_indices:h.to_object(l)})}get_interpolation_hit(t,e,s){const[i,n,l,o]=[this._xs[t][e],this._ys[t][e],this._xs[t][e+1],this._ys[t][e+1]];return c.line_interpolation(this.renderer,s,i,n,l,o)}draw_legend_for_index(t,e,s){c.generic_line_legend(this.visuals,t,e,s)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}s.MultiLineView=x,x.__name__=\"MultiLineView\";class u extends _.Glyph{constructor(t){super(t)}static init_MultiLine(){this.prototype.default_view=x,this.coords([[\"xs\",\"ys\"]]),this.mixins(l.LineVector)}}s.MultiLine=u,u.__name__=\"MultiLine\",u.init_MultiLine()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(85),r=e(89),o=e(92),l=e(9),h=e(12),_=e(23),a=i.__importStar(e(93)),c=e(79),d=e(8),x=e(11);class y extends r.GlyphView{_index_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++){const i=this._xs[t][s][0],n=this._ys[t][s][0];0!=i.length&&e.push({x0:l.min(i),y0:l.min(n),x1:l.max(i),y1:l.max(n),i:t})}return this.hole_index=this._index_hole_data(),new n.SpatialIndex(e)}_index_hole_data(){const e=[];for(let t=0,s=this._xs.length;t<s;t++)for(let s=0,i=this._xs[t].length;s<i;s++)if(this._xs[t][s].length>1)for(let i=1,n=this._xs[t][s].length;i<n;i++){const n=this._xs[t][s][i],r=this._ys[t][s][i];0!=n.length&&e.push({x0:l.min(n),y0:l.min(r),x1:l.max(n),y1:l.max(r),i:t})}return new n.SpatialIndex(e)}_mask_data(){const e=this.renderer.plot_view.frame.x_ranges.default,[t,s]=[e.min,e.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:s,y0:n,y1:r}).sort((e,t)=>e-t).filter((e,t,s)=>0===t||e!==s[t-1])}_inner_loop(e,t,s){e.beginPath();for(let i=0,n=t.length;i<n;i++)for(let n=0,r=t[i].length;n<r;n++){const r=t[i][n],o=s[i][n];for(let t=0,s=r.length;t<s;t++)0!=t?e.lineTo(r[t],o[t]):e.moveTo(r[t],o[t]);e.closePath()}}_render(e,t,{sxs:s,sys:i}){if(this.visuals.fill.doit||this.visuals.line.doit)for(const n of t){const[t,r]=[s[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,n),this._inner_loop(e,t,r),e.fill(\"evenodd\")),this.visuals.hatch.doit2(e,n,()=>{this._inner_loop(e,t,r),e.fill(\"evenodd\")},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,n),this._inner_loop(e,t,r),e.stroke())}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],o=[i,i,n,n],[l,h]=this.renderer.xscale.r_invert(t,s),[_,d]=this.renderer.yscale.r_invert(i,n),x=this.index.indices({x0:l,x1:h,y0:_,y1:d}),y=[];for(let e=0,t=x.length;e<t;e++){const t=x[e],s=this.sxs[t],i=this.sys[t];let n=!0;for(let e=0,t=s.length;e<t;e++){for(let t=0,l=s[e][0].length;t<l;t++){const l=s[e][0][t],h=i[e][0][t];if(!a.point_in_poly(l,h,r,o)){n=!1;break}}if(!n)break}n&&y.push(t)}return new c.Selection({indices:y})}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(s),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=this.hole_index.indices({x0:i,y0:n,x1:i,y1:n}),l=[];for(let e=0,i=r.length;e<i;e++){const i=r[e],n=this.sxs[i],h=this.sys[i];for(let e=0,r=n.length;e<r;e++){const r=n[e].length;if(a.point_in_poly(t,s,n[e][0],h[e][0]))if(1==r)l.push(i);else if(-1==o.indexOf(i))l.push(i);else if(r>1){let o=!1;for(let i=1;i<r;i++){const r=n[e][i],l=h[e][i];if(a.point_in_poly(t,s,r,l)){o=!0;break}}o||l.push(i)}}}return new c.Selection({indices:l})}_get_snap_coord(e){return h.sum(e)/e.length}scenterx(e,t,s){if(1==this.sxs[e].length)return this._get_snap_coord(this.sxs[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(i[e][0])}x.unreachable()}scentery(e,t,s){if(1==this.sys[e].length)return this._get_snap_coord(this.sys[e][0][0]);{const i=this.sxs[e],n=this.sys[e];for(let e=0,r=i.length;e<r;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0]))return this._get_snap_coord(n[e][0])}x.unreachable()}map_data(){const e=this;for(let[t,s]of this.model._coords){const i=\"s\"+t,n=\"s\"+s;if(t=\"_\"+t,s=\"_\"+s,null!=e[t]&&(d.isArray(e[t][0])||d.isTypedArray(e[t][0]))){const r=e[t].length;e[i]=new Array(r),e[n]=new Array(r);for(let o=0;o<r;o++){const r=e[t][o].length;e[i][o]=new Array(r),e[n][o]=new Array(r);for(let l=0;l<r;l++){const r=e[t][o][l].length;e[i][o][l]=new Array(r),e[n][o][l]=new Array(r);for(let h=0;h<r;h++){const[r,_]=this.map_to_screen(e[t][o][l][h],e[s][o][l][h]);e[i][o][l][h]=r,e[n][o][l][h]=_}}}}}}draw_legend_for_index(e,t,s){o.generic_area_legend(this.visuals,e,t,s)}}s.MultiPolygonsView=y,y.__name__=\"MultiPolygonsView\";class f extends r.Glyph{constructor(e){super(e)}static init_MultiPolygons(){this.prototype.default_view=y,this.coords([[\"xs\",\"ys\"]]),this.mixins([_.LineVector,_.FillVector,_.HatchVector])}}s.MultiPolygons=f,f.__name__=\"MultiPolygons\",f.init_MultiPolygons()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const l=e(216);class s extends l.EllipseOvalView{_map_data(){super._map_data();const{sw:e}=this,t=e.length;for(let a=0;a<t;a++)e[a]*=.75}}a.OvalView=s,s.__name__=\"OvalView\";class _ extends l.EllipseOval{constructor(e){super(e)}static init_Oval(){this.prototype.default_view=s}}a.Oval=_,_.__name__=\"Oval\",_.init_Oval()},\n      function _(s,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=s(1),n=s(85),r=s(89),o=s(92),l=s(9),_=s(12),h=s(23),c=i.__importStar(s(93)),a=s(79),d=s(11);class u extends r.GlyphView{_build_discontinuous_object(s){const t=[];for(let e=0,i=s.length;e<i;e++){t[e]=[];let i=l.copy(s[e]);for(;i.length>0;){const s=l.find_last_index(i,s=>isNaN(s));let n;s>=0?n=i.splice(s):(n=i,i=[]);const r=n.filter(s=>!isNaN(s));t[e].push(r)}}return t}_index_data(){const s=this._build_discontinuous_object(this._xs),t=this._build_discontinuous_object(this._ys),e=[];for(let i=0,n=this._xs.length;i<n;i++)for(let n=0,r=s[i].length;n<r;n++){const r=s[i][n],o=t[i][n];0!=r.length&&e.push({x0:l.min(r),y0:l.min(o),x1:l.max(r),y1:l.max(o),i})}return new n.SpatialIndex(e)}_mask_data(){const s=this.renderer.plot_view.frame.x_ranges.default,[t,e]=[s.min,s.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:e,y0:n,y1:r}).sort((s,t)=>s-t)}_inner_loop(s,t,e,i){for(let n=0,r=t.length;n<r;n++)0!=n?isNaN(t[n]+e[n])?(s.closePath(),i.apply(s),s.beginPath()):s.lineTo(t[n],e[n]):(s.beginPath(),s.moveTo(t[n],e[n]));s.closePath(),i.call(s)}_render(s,t,{sxs:e,sys:i}){this.sxss=this._build_discontinuous_object(e),this.syss=this._build_discontinuous_object(i);for(const n of t){const[t,r]=[e[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,n),this._inner_loop(s,t,r,s.fill)),this.visuals.hatch.doit2(s,n,()=>this._inner_loop(s,t,r,s.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),this._inner_loop(s,t,r,s.stroke))}}_hit_rect(s){const{sx0:t,sx1:e,sy0:i,sy1:n}=s,r=[t,e,e,t],o=[i,i,n,n],[l,_]=this.renderer.xscale.r_invert(t,e),[h,d]=this.renderer.yscale.r_invert(i,n),u=this.index.indices({x0:l,x1:_,y0:h,y1:d}),x=[];for(let s=0,t=u.length;s<t;s++){const t=u[s],e=this.sxs[t],i=this.sys[t];let n=!0;for(let s=0,t=e.length;s<t;s++){const t=e[s],l=i[s];if(!c.point_in_poly(t,l,r,o)){n=!1;break}}n&&x.push(t)}return new a.Selection({indices:x})}_hit_point(s){const{sx:t,sy:e}=s,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(e),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=[];for(let s=0,i=r.length;s<i;s++){const i=r[s],n=this.sxss[i],l=this.syss[i];for(let s=0,r=n.length;s<r;s++)c.point_in_poly(t,e,n[s],l[s])&&o.push(i)}return new a.Selection({indices:o})}_get_snap_coord(s){return _.sum(s)/s.length}scenterx(s,t,e){if(1==this.sxss[s].length)return this._get_snap_coord(this.sxs[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(i[s])}d.unreachable()}scentery(s,t,e){if(1==this.syss[s].length)return this._get_snap_coord(this.sys[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(n[s])}d.unreachable()}draw_legend_for_index(s,t,e){o.generic_area_legend(this.visuals,s,t,e)}}e.PatchesView=u,u.__name__=\"PatchesView\";class x extends r.Glyph{constructor(s){super(s)}static init_Patches(){this.prototype.default_view=u,this.coords([[\"xs\",\"ys\"]]),this.mixins([h.LineVector,h.FillVector,h.HatchVector])}}e.Patches=x,x.__name__=\"Patches\",x.init_Patches()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(218);class _ extends i.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._right.length)}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}s.QuadView=_,_.__name__=\"QuadView\";class o extends i.Box{constructor(t){super(t)}static init_Quad(){this.prototype.default_view=_,this.coords([[\"right\",\"bottom\"],[\"left\",\"top\"]])}}s.Quad=o,o.__name__=\"Quad\",o.init_Quad()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(23),n=t(85),r=t(89),_=t(92);function a(t,i,e){if(i==(t+e)/2)return[t,e];{const s=(t-i)/(t-2*i+e),n=t*(1-s)**2+2*i*(1-s)*s+e*s**2;return[Math.min(t,e,n),Math.max(t,e,n)]}}class c extends r.GlyphView{_index_data(){const t=[];for(let i=0,e=this._x0.length;i<e;i++){if(isNaN(this._x0[i]+this._x1[i]+this._y0[i]+this._y1[i]+this._cx[i]+this._cy[i]))continue;const[e,s]=a(this._x0[i],this._cx[i],this._x1[i]),[n,r]=a(this._y0[i],this._cy[i],this._y1[i]);t.push({x0:e,y0:n,x1:s,y1:r,i})}return new n.SpatialIndex(t)}_render(t,i,{sx0:e,sy0:s,sx1:n,sy1:r,scx:_,scy:a}){if(this.visuals.line.doit)for(const c of i)isNaN(e[c]+s[c]+n[c]+r[c]+_[c]+a[c])||(t.beginPath(),t.moveTo(e[c],s[c]),t.quadraticCurveTo(_[c],a[c],n[c],r[c]),this.visuals.line.set_vectorize(t,c),t.stroke())}draw_legend_for_index(t,i,e){_.generic_line_legend(this.visuals,t,i,e)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}e.QuadraticView=c,c.__name__=\"QuadraticView\";class o extends r.Glyph{constructor(t){super(t)}static init_Quadratic(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx\",\"cy\"]]),this.mixins(s.LineVector)}}e.Quadratic=o,o.__name__=\"Quadratic\",o.init_Quadratic()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),a=e(92),l=e(23),r=s.__importStar(e(18));class _ extends n.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this._length):this.slength=this._length}_render(e,t,{sx:i,sy:s,slength:n,_angle:a}){if(this.visuals.line.doit){const l=2*(this.renderer.plot_view.frame._width.value+this.renderer.plot_view.frame._height.value);for(let e=0,t=n.length;e<t;e++)0==n[e]&&(n[e]=l);for(const l of t)isNaN(i[l]+s[l]+a[l]+n[l])||(e.translate(i[l],s[l]),e.rotate(a[l]),e.beginPath(),e.moveTo(0,0),e.lineTo(n[l],0),this.visuals.line.set_vectorize(e,l),e.stroke(),e.rotate(-a[l]),e.translate(-i[l],-s[l]))}}draw_legend_for_index(e,t,i){a.generic_line_legend(this.visuals,e,t,i)}}i.RayView=_,_.__name__=\"RayView\";class h extends n.XYGlyph{constructor(e){super(e)}static init_Ray(){this.prototype.default_view=_,this.mixins(l.LineVector),this.define({length:[r.DistanceSpec],angle:[r.AngleSpec]})}}i.Ray=h,h.__name__=\"Ray\",h.init_Ray()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(214),a=t(92),r=i.__importStar(t(18)),n=t(12),_=t(79);class l extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this._width,this.renderer.xscale);else{this.sw=this._width;const t=this.sx.length;this.sx0=new Float64Array(t);for(let s=0;s<t;s++)this.sx0[s]=this.sx[s]-this.sw[s]/2}if(\"data\"==this.model.properties.height.units)[this.sh,this.sy1]=this._map_dist_corner_for_data_side_length(this._y,this._height,this.renderer.yscale);else{this.sh=this._height;const t=this.sy.length;this.sy1=new Float64Array(t);for(let s=0;s<t;s++)this.sy1[s]=this.sy[s]-this.sh[s]/2}const t=this.sw.length;this.ssemi_diag=new Float64Array(t);for(let s=0;s<t;s++)this.ssemi_diag[s]=Math.sqrt(this.sw[s]/2*this.sw[s]/2+this.sh[s]/2*this.sh[s]/2)}_render(t,s,{sx:e,sy:i,sx0:h,sy1:a,sw:r,sh:n,_angle:_}){if(this.visuals.fill.doit)for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||(this.visuals.fill.set_vectorize(t,l),_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.fillRect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.fillRect(h[l],a[l],r[l],n[l]));if(this.visuals.line.doit){t.beginPath();for(const l of s)isNaN(e[l]+i[l]+h[l]+a[l]+r[l]+n[l]+_[l])||0!=r[l]&&0!=n[l]&&(_[l]?(t.translate(e[l],i[l]),t.rotate(_[l]),t.rect(-r[l]/2,-n[l]/2,r[l],n[l]),t.rotate(-_[l]),t.translate(-e[l],-i[l])):t.rect(h[l],a[l],r[l],n[l]),this.visuals.line.set_vectorize(t,l),t.stroke(),t.beginPath());t.stroke()}}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){let{sx:s,sy:e}=t;const i=this.renderer.xscale.invert(s),h=this.renderer.yscale.invert(e),a=[];for(let t=0,s=this.sx0.length;t<s;t++)a.push(this.sx0[t]+this.sw[t]/2);const r=[];for(let t=0,s=this.sy1.length;t<s;t++)r.push(this.sy1[t]+this.sh[t]/2);const l=n.max(this._ddist(0,a,this.ssemi_diag)),o=n.max(this._ddist(1,r,this.ssemi_diag)),d=i-l,c=i+l,x=h-o,y=h+o,f=[];for(const t of this.index.indices({x0:d,x1:c,y0:x,y1:y})){let i,h;if(this._angle[t]){const a=Math.sin(-this._angle[t]),r=Math.cos(-this._angle[t]),n=r*(s-this.sx[t])-a*(e-this.sy[t])+this.sx[t],_=a*(s-this.sx[t])+r*(e-this.sy[t])+this.sy[t];s=n,e=_,h=Math.abs(this.sx[t]-s)<=this.sw[t]/2,i=Math.abs(this.sy[t]-e)<=this.sh[t]/2}else h=s-this.sx0[t]<=this.sw[t]&&s-this.sx0[t]>=0,i=e-this.sy1[t]<=this.sh[t]&&e-this.sy1[t]>=0;i&&h&&f.push(t)}return new _.Selection({indices:f})}_map_dist_corner_for_data_side_length(t,s,e){const i=t.length,h=new Float64Array(i),a=new Float64Array(i);for(let e=0;e<i;e++)h[e]=Number(t[e])-s[e]/2,a[e]=Number(t[e])+s[e]/2;const r=e.v_compute(h),n=e.v_compute(a),_=this.sdist(e,h,s,\"edge\",this.model.dilate);let l=r;for(let t=0,s=r.length;t<s;t++)if(r[t]!=n[t]){l=r[t]<n[t]?r:n;break}return[_,l]}_ddist(t,s,e){const i=0==t?this.renderer.xscale:this.renderer.yscale,h=s,a=h.length,r=new Float64Array(a);for(let t=0;t<a;t++)r[t]=h[t]+e[t];const n=i.v_invert(h),_=i.v_invert(r),l=n.length,o=new Float64Array(l);for(let t=0;t<l;t++)o[t]=Math.abs(_[t]-n[t]);return o}draw_legend_for_index(t,s,e){a.generic_area_legend(this.visuals,t,s,e)}_bounds({x0:t,x1:s,y0:e,y1:i}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:e-this.max_h2,y1:i+this.max_h2}}}e.RectView=l,l.__name__=\"RectView\";class o extends h.CenterRotatable{constructor(t){super(t)}static init_Rect(){this.prototype.default_view=l,this.define({dilate:[r.Boolean,!1]})}}e.Rect=o,o.__name__=\"Rect\",o.init_Rect()},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1).__importStar(e(93)),n=e(23),r=e(85),h=e(89),_=e(92),a=e(79);class c extends h.GlyphView{_index_data(){const e=[];for(let s=0,t=this._x0.length;s<t;s++){const t=this._x0[s],i=this._x1[s],n=this._y0[s],r=this._y1[s];isNaN(t+i+n+r)||e.push({x0:Math.min(t,i),y0:Math.min(n,r),x1:Math.max(t,i),y1:Math.max(n,r),i:s})}return new r.SpatialIndex(e)}_render(e,s,{sx0:t,sy0:i,sx1:n,sy1:r}){if(this.visuals.line.doit)for(const h of s)isNaN(t[h]+i[h]+n[h]+r[h])||(e.beginPath(),e.moveTo(t[h],i[h]),e.lineTo(n[h],r[h]),this.visuals.line.set_vectorize(e,h),e.stroke())}_hit_point(e){const{sx:s,sy:t}=e,n={x:s,y:t},[r,h]=this.renderer.xscale.r_invert(s-2,s+2),[_,c]=this.renderer.yscale.r_invert(t-2,t+2),o=this.index.indices({x0:r,y0:_,x1:h,y1:c}),x=[];for(const e of o){const s=Math.max(2,this.visuals.line.cache_select(\"line_width\",e)/2)**2,t={x:this.sx0[e],y:this.sy0[e]},r={x:this.sx1[e],y:this.sy1[e]};i.dist_to_segment_squared(n,t,r)<s&&x.push(e)}return new a.Selection({indices:x})}_hit_span(e){const[s,t]=this.renderer.plot_view.frame.bbox.ranges,{sx:i,sy:n}=e;let r,h,_;\"v\"==e.direction?(_=this.renderer.yscale.invert(n),[r,h]=[this._y0,this._y1]):(_=this.renderer.xscale.invert(i),[r,h]=[this._x0,this._x1]);const c=[],[o,x]=this.renderer.xscale.r_invert(s.start,s.end),[l,d]=this.renderer.yscale.r_invert(t.start,t.end),y=this.index.indices({x0:o,y0:l,x1:x,y1:d});for(const s of y){(r[s]<=_&&_<=h[s]||h[s]<=_&&_<=r[s])&&c.push(s);const t=1.5+this.visuals.line.cache_select(\"line_width\",s)/2;r[s]==h[s]&&(\"h\"==e.direction?Math.abs(this.sx0[s]-i)<=t&&c.push(s):Math.abs(this.sy0[s]-n)<=t&&c.push(s))}return new a.Selection({indices:c})}scenterx(e){return(this.sx0[e]+this.sx1[e])/2}scentery(e){return(this.sy0[e]+this.sy1[e])/2}draw_legend_for_index(e,s,t){_.generic_line_legend(this.visuals,e,s,t)}}t.SegmentView=c,c.__name__=\"SegmentView\";class o extends h.Glyph{constructor(e){super(e)}static init_Segment(){this.prototype.default_view=c,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"]]),this.mixins(n.LineVector)}}t.Segment=o,o.__name__=\"Segment\",o.init_Segment()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(84),o=e(92),r=e(23),l=n.__importStar(e(18));class a extends s.XYGlyphView{_render(e,t,{sx:i,sy:n}){let s=!1,o=null;this.visuals.line.set_value(e);const r=t.length;if(!(r<2)){e.beginPath(),e.moveTo(i[0],n[0]);for(const r of t){let t,l,a,_;switch(this.model.mode){case\"before\":[t,a]=[i[r-1],n[r]],[l,_]=[i[r],n[r]];break;case\"after\":[t,a]=[i[r],n[r-1]],[l,_]=[i[r],n[r]];break;case\"center\":{const e=(i[r-1]+i[r])/2;[t,a]=[e,n[r-1]],[l,_]=[e,n[r]];break}default:throw new Error(\"unexpected\")}if(s){if(!isFinite(i[r]+n[r])){e.stroke(),e.beginPath(),s=!1,o=r;continue}null!=o&&r-o>1&&(e.stroke(),s=!1)}s?(e.lineTo(t,a),e.lineTo(l,_)):(e.beginPath(),e.moveTo(i[r],n[r]),s=!0),o=r}e.lineTo(i[r-1],n[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}}i.StepView=a,a.__name__=\"StepView\";class _ extends s.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=a,this.mixins(r.LineVector),this.define({mode:[l.StepMode,\"before\"]})}}i.Step=_,_.__name__=\"Step\",_.init_Step()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(84),_=t(23),o=i.__importStar(t(93)),h=i.__importStar(t(18)),r=t(132),l=t(11),a=t(79);class c extends n.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,{sx:s,sy:i,_x_offset:n,_y_offset:_,_angle:o,_text:h}){this._sys=[],this._sxs=[];for(const l of e)if(this._sxs[l]=[],this._sys[l]=[],!isNaN(s[l]+i[l]+n[l]+_[l]+o[l])&&null!=h[l]&&this.visuals.text.doit){const e=\"\"+h[l];t.save(),t.translate(s[l]+n[l],i[l]+_[l]),t.rotate(o[l]),this.visuals.text.set_vectorize(t,l);const a=this.visuals.text.cache_select(\"font\",l),{height:c}=r.measure_font(a),x=this.visuals.text.text_line_height.value()*c;if(-1==e.indexOf(\"\\n\")){t.fillText(e,0,0);const o=s[l]+n[l],h=i[l]+_[l],r=t.measureText(e).width,[a,c]=this._text_bounds(o,h,r,x);this._sxs[l].push(a),this._sys[l].push(c)}else{const o=e.split(\"\\n\"),h=x*o.length,r=this.visuals.text.cache_select(\"text_baseline\",l);let a;switch(r){case\"top\":a=0;break;case\"middle\":a=-h/2+x/2;break;case\"bottom\":a=-h+x;break;default:a=0,console.warn(`'${r}' baseline not supported with multi line text`)}for(const e of o){t.fillText(e,0,a);const o=s[l]+n[l],h=a+i[l]+_[l],r=t.measureText(e).width,[c,u]=this._text_bounds(o,h,r,x);this._sxs[l].push(c),this._sys[l].push(u),a+=x}}t.restore()}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t<this._sxs.length;t++){const n=this._sxs[t],_=this._sys[t],h=n.length;for(let r=0,l=h;r<l;r++){const[l,a]=this._rotate_point(e,s,n[h-1][0],_[h-1][0],-this._angle[t]);o.point_in_poly(l,a,n[r],_[r])&&i.push(t)}}return new a.Selection({indices:i})}_scenterxy(t){const e=this._sxs[t],s=this._sys[t];l.assert(0!=e.length&&0!=s.length);const i=e[0][0],n=s[0][0],_=(e[0][2]+i)/2,o=(s[0][2]+n)/2,[h,r]=this._rotate_point(_,o,i,n,this._angle[t]);return{x:h,y:r}}scenterx(t){return this._scenterxy(t).x}scentery(t){return this._scenterxy(t).y}}s.TextView=c,c.__name__=\"TextView\";class x extends n.XYGlyph{constructor(t){super(t)}static init_Text(){this.prototype.default_view=c,this.mixins(_.TextVector),this.define({text:[h.NullStringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,0],y_offset:[h.NumberSpec,0]})}}s.Text=x,x.__name__=\"Text\",x.init_Text()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class o extends h.BoxView{scenterx(t){return this.sx[t]}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._x.length)}_lrtb(t){return[this._x[t]-this._width[t]/2,this._x[t]+this._width[t]/2,Math.max(this._top[t],this._bottom[t]),Math.min(this._top[t],this._bottom[t])]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new Float64Array(t),this.sright=new Float64Array(t);for(let s=0;s<t;s++)this.sleft[s]=this.sx[s]-this.sw[s]/2,this.sright[s]=this.sx[s]+this.sw[s]/2;this._clamp_viewport()}}e.VBarView=o,o.__name__=\"VBarView\";class _ extends h.Box{constructor(t){super(t)}static init_VBar(){this.prototype.default_view=o,this.coords([[\"x\",\"bottom\"]]),this.define({width:[r.NumberSpec],top:[r.CoordinateSpec]}),this.override({bottom:0})}}e.VBar=_,_.__name__=\"VBar\",_.init_VBar()},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),d=e(10),o=e(79);class l extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,s,{sx:t,sy:i,sradius:r,_start_angle:n,_end_angle:a}){const _=this.model.properties.direction.value();for(const d of s)isNaN(t[d]+i[d]+r[d]+n[d]+a[d])||(e.beginPath(),e.arc(t[d],i[d],r[d],n[d],a[d],_),e.lineTo(t[d],i[d]),e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,d),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,d),e.stroke()))}_hit_point(e){let s,t,i,r,n,a,_,l,c;const{sx:h,sy:u}=e,p=this.renderer.xscale.invert(h),x=this.renderer.yscale.invert(u),g=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=p-g,_=p+g,l=x-g,c=x+g):(t=h-g,i=h+g,[a,_]=this.renderer.xscale.r_invert(t,i),r=u-g,n=u+g,[l,c]=this.renderer.yscale.r_invert(r,n));const y=[];for(const e of this.index.indices({x0:a,x1:_,y0:l,y1:c})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(p,this._x[e]),[r,n]=this.renderer.yscale.r_compute(x,this._y[e]),s=(t-i)**2+(r-n)**2,s<=a&&y.push([e,s])}const f=this.model.properties.direction.value(),v=[];for(const[e,s]of y){const t=Math.atan2(u-this.sy[e],h-this.sx[e]);d.angle_between(-t,-this._start_angle[e],-this._end_angle[e],f)&&v.push([e,s])}return o.Selection.from_hits(v)}draw_legend_for_index(e,s,t){n.generic_area_legend(this.visuals,e,s,t)}_scenterxy(e){const s=this.sradius[e]/2,t=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+s*Math.cos(t),y:this.sy[e]+s*Math.sin(t)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}t.WedgeView=l,l.__name__=\"WedgeView\";class c extends r.XYGlyph{constructor(e){super(e)}static init_Wedge(){this.prototype.default_view=l,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}t.Wedge=c,c.__name__=\"Wedge\",c.init_Wedge()},\n      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const r=e(1);r.__exportStar(e(101),_),r.__exportStar(e(239),_),r.__exportStar(e(240),_)},\n      function _(e,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=e(71);class n extends t.Model{constructor(e){super(e)}}r.LayoutProvider=n,n.__name__=\"LayoutProvider\"},\n      function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(1),r=t(239),s=o.__importStar(t(18));class n extends r.LayoutProvider{constructor(t){super(t)}static init_StaticLayoutProvider(){this.define({graph_layout:[s.Any,{}]})}get_node_coordinates(t){const a=[],e=[],o=t.data.index;for(let t=0,r=o.length;t<r;t++){const r=this.graph_layout[o[t]],[s,n]=null!=r?r:[NaN,NaN];a.push(s),e.push(n)}return[a,e]}get_edge_coordinates(t){const a=[],e=[],o=t.data.start,r=t.data.end,s=null!=t.data.xs&&null!=t.data.ys;for(let n=0,u=o.length;n<u;n++){const u=null!=this.graph_layout[o[n]]&&null!=this.graph_layout[r[n]];if(s&&u)a.push(t.data.xs[n]),e.push(t.data.ys[n]);else{let t,s;[s,t]=u?[this.graph_layout[o[n]],this.graph_layout[r[n]]]:[[NaN,NaN],[NaN,NaN]],a.push([s[0],t[0]]),e.push([s[1],t[1]])}}return[a,e]}}e.StaticLayoutProvider=n,n.__name__=\"StaticLayoutProvider\",n.init_StaticLayoutProvider()},\n      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var i=e(242);d.Grid=i.Grid},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),s=e(151),r=n.__importStar(e(23)),_=n.__importStar(e(18)),o=e(8);class a extends s.GuideRendererView{render(){if(!this.model.visible)return;const e=this.layer.ctx;e.save(),this._draw_regions(e),this._draw_minor_grids(e),this._draw_grids(e),e.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render())}_draw_regions(e){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;this.visuals.band_fill.set_value(e);const[i,t]=this.grid_coords(\"major\",!1);for(let n=0;n<i.length-1;n++){if(n%2!=1)continue;const[s,r]=this.plot_view.map_to_screen(i[n],t[n],this.model.x_range_name,this.model.y_range_name),[_,o]=this.plot_view.map_to_screen(i[n+1],t[n+1],this.model.x_range_name,this.model.y_range_name);this.visuals.band_fill.doit&&e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0]),this.visuals.band_hatch.doit2(e,n,()=>{e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0])},()=>this.request_render())}}_draw_grids(e){if(!this.visuals.grid_line.doit)return;const[i,t]=this.grid_coords(\"major\");this._draw_grid_helper(e,this.visuals.grid_line,i,t)}_draw_minor_grids(e){if(!this.visuals.minor_grid_line.doit)return;const[i,t]=this.grid_coords(\"minor\");this._draw_grid_helper(e,this.visuals.minor_grid_line,i,t)}_draw_grid_helper(e,i,t,n){i.set_value(e);for(let i=0;i<t.length;i++){const[s,r]=this.plot_view.map_to_screen(t[i],n[i],this.model.x_range_name,this.model.y_range_name);e.beginPath(),e.moveTo(Math.round(s[0]),Math.round(r[0]));for(let i=1;i<s.length;i++)e.lineTo(Math.round(s[i]),Math.round(r[i]));e.stroke()}}ranges(){const e=this.model.dimension,i=(e+1)%2,t=this.plot_view.frame,n=[t.x_ranges[this.model.x_range_name],t.y_ranges[this.model.y_range_name]];return[n[e],n[i]]}computed_bounds(){const[e]=this.ranges(),i=this.model.bounds,t=[e.min,e.max];let n,s;if(o.isArray(i))n=Math.min(i[0],i[1]),s=Math.max(i[0],i[1]),n<t[0]&&(n=t[0]),s>t[1]&&(s=t[1]);else{[n,s]=t;for(const e of this.plot_view.axis_views)e.dimension==this.model.dimension&&e.model.x_range_name==this.model.x_range_name&&e.model.y_range_name==this.model.y_range_name&&([n,s]=e.computed_bounds)}return[n,s]}grid_coords(e,i=!0){const t=this.model.dimension,n=(t+1)%2,[s,r]=this.ranges();let[_,o]=this.computed_bounds();[_,o]=[Math.min(_,o),Math.max(_,o)];const a=[[],[]],d=this.model.get_ticker();if(null==d)return a;const l=d.get_ticks(_,o,s,r.min,{})[e],h=s.min,m=s.max,c=r.min,u=r.max;i||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=m&&l.push(m));for(let e=0;e<l.length;e++){if((l[e]==h||l[e]==m)&&i)continue;const s=[],r=[],_=2;for(let i=0;i<_;i++){const t=c+(u-c)/(_-1)*i;s.push(l[e]),r.push(t)}a[t].push(s),a[n].push(r)}return a}}t.GridView=a,a.__name__=\"GridView\";class d extends s.GuideRenderer{constructor(e){super(e)}static init_Grid(){this.prototype.default_view=a,this.mixins([[\"grid_\",r.Line],[\"minor_grid_\",r.Line],[\"band_\",r.Fill],[\"band_\",r.Hatch]]),this.define({bounds:[_.Any,\"auto\"],dimension:[_.Any,0],axis:[_.Instance],ticker:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}t.Grid=d,d.__name__=\"Grid\",d.init_Grid()},\n      function _(a,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});var e=a(244);r.Box=e.Box;var v=a(247);r.Column=v.Column;var x=a(248);r.GridBox=x.GridBox;var B=a(249);r.HTMLBox=B.HTMLBox;var n=a(245);r.LayoutDOM=n.LayoutDOM;var t=a(250);r.Row=t.Row;var u=a(251);r.Spacer=u.Spacer;var d=a(252);r.Panel=d.Panel,r.Tabs=d.Tabs;var i=a(259);r.WidgetBox=i.WidgetBox},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(245),o=n.__importStar(e(18));class c extends s.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends s.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define({children:[o.Array,[]],spacing:[o.Number,0]})}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(71),l=t(68),n=t(72),h=t(8),a=s.__importStar(t(18)),_=t(99),r=t(66),d=t(246);class u extends r.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval(()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))},250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],()=>this.invalidate_layout()),this.on_change([t.background,t.css_classes],()=>this.invalidate_render())}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map(t=>this._child_views.get(t))}async build_child_views(){await _.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),l.empty(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?t:\"\",l.classes(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_root?this.layout.sizing.margin:void 0;l.position(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build()}build(){return this.assert_root(),this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),n.logger.debug(`layout computed in ${Date.now()-t} ms`),this.notify_finished()}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:a,height:_}=this.model;null!=a&&(o.width=a),null!=_&&(o.height=_);const{max_width:r,max_height:d}=this.model;null!=r&&(o.max_width=r),null!=d&&(o.max_height=d),\"auto\"==e&&null!=a&&null!=_?o.aspect=a/_:h.isNumber(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if(h.isNumber(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:c}=this.model;return h.isArray(c)?[o.halign,o.valign]=c:o.halign=o.valign=c,o}_viewport_size(){return l.undisplayed(this.el,()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(d.bk_root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=l.extents(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=l.extents(t),{width:n,height:h}=t.getBoundingClientRect(),a=Math.ceil(n-i-e),_=Math.ceil(h-s-o);if(a>0||_>0)return{width:a>0?a:void 0,height:_>0?_:void 0}}return{}})}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map(t=>t.serializable_state())})}}e.LayoutDOMView=u,u.__name__=\"LayoutDOMView\";class c extends o.Model{constructor(t){super(t)}static init_LayoutDOM(){this.define({width:[a.Number,null],height:[a.Number,null],min_width:[a.Number,null],min_height:[a.Number,null],max_width:[a.Number,null],max_height:[a.Number,null],margin:[a.Any,[0,0,0,0]],width_policy:[a.Any,\"auto\"],height_policy:[a.Any,\"auto\"],aspect_ratio:[a.Any,null],sizing_mode:[a.SizingMode,null],visible:[a.Boolean,!0],disabled:[a.Boolean,!1],align:[a.Any,\"start\"],background:[a.Color,null],css_classes:[a.Array,[]]})}}e.LayoutDOM=c,c.__name__=\"LayoutDOM\",c.init_LayoutDOM()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_root=\"bk-root\"},\n      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),n=t(192),l=s.__importStar(t(18));class u extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new n.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class _ extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define({rows:[l.Any,\"auto\"]})}}i.Column=_,_.__name__=\"Column\",_.init_Column()},\n      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1),e=t(245),n=t(192),l=o.__importStar(t(18));class r extends e.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children.map(([t])=>t)}_update_layout(){this.layout=new n.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,i,s,o,e]of this.model.children){const n=this._child_views.get(t);this.layout.items.push({layout:n.layout,row:i,col:s,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}s.GridBoxView=r,r.__name__=\"GridBoxView\";class a extends e.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=r,this.define({children:[l.Array,[]],rows:[l.Any,\"auto\"],cols:[l.Any,\"auto\"],spacing:[l.Any,0]})}}s.GridBox=a,a.__name__=\"GridBox\",a.init_GridBox()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(245),_=e(188);class n extends s.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new _.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=n,n.__name__=\"HTMLBoxView\";class i extends s.LayoutDOM{constructor(e){super(e)}}o.HTMLBox=i,i.__name__=\"HTMLBox\"},\n      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),_=t(192),a=s.__importStar(t(18));class n extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new _.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=n,n.__name__=\"RowView\";class l extends e.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=n,this.define({cols:[a.Any,\"auto\"]})}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(245),s=e(188);class _ extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new s.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=_,_.__name__=\"SpacerView\";class o extends i.LayoutDOM{constructor(e){super(e)}static init_Spacer(){this.prototype.default_view=_}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(188),l=e(68),h=e(9),o=i.__importStar(e(18)),c=e(245),d=e(71),r=e(146),n=e(253),_=e(254),b=e(255),p=i.__importDefault(e(256)),u=i.__importDefault(e(257)),m=i.__importDefault(e(258));class v extends c.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,()=>this.rebuild()),this.connect(this.model.properties.active.change,()=>this.on_active_change())}styles(){return[...super.styles(),p.default,u.default,m.default]}get child_models(){return this.model.tabs.map(e=>e.child)}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const a=l.size(s),o=l.children(i).slice(0,3).map(e=>l.size(e)),{width:c,height:d}=super._measure(e);if(t){const t=a.width+h.sum(o.map(e=>e.width));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+h.sum(o.map(e=>e.height));return{width:c,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let o=1,c=1;switch(e){case\"above\":o-=1;break;case\"below\":o+=1;break;case\"left\":c-=1;break;case\"right\":c+=1}const d={layout:this.header,row:o,col:c},r=this.child_views.map(e=>({layout:e.layout,row:1,col:1}));this.layout=new a.Grid([d,...r]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",l.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=l.size(this.scroll_el),i=l.scroll_size(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",l.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",l.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)l.hide(e.el);const h=a[this.model.active];null!=h&&l.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map((t,s)=>{const i=l.div({class:[n.bk_tab,s==e?r.bk_active:null]},t.title);if(i.addEventListener(\"click\",e=>{e.target==e.currentTarget&&this.change_active(s)}),t.closable){const e=l.div({class:n.bk_close});e.addEventListener(\"click\",e=>{if(e.target==e.currentTarget){this.model.tabs=h.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}}),i.appendChild(e)}return i});this.headers_el=l.div({class:[n.bk_headers]},i),this.wrapper_el=l.div({class:n.bk_headers_wrapper},this.headers_el);const a=l.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},l.div({class:[b.bk_caret,r.bk_left]})),o=l.div({class:[_.bk_btn,_.bk_btn_default]},l.div({class:[b.bk_caret,r.bk_right]}));let c=0;const d=e=>()=>{const t=this.model.tabs.length;c=\"left\"==e?Math.max(c-1,0):Math.min(c+1,t-1),0==c?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),c==t-1?o.setAttribute(\"disabled\",\"\"):o.removeAttribute(\"disabled\");const i=l.children(this.headers_el).slice(0,c).map(e=>e.getBoundingClientRect());if(s){const e=-h.sum(i.map(e=>e.width));this.headers_el.style.left=e+\"px\"}else{const e=-h.sum(i.map(e=>e.height));this.headers_el.style.top=e+\"px\"}};a.addEventListener(\"click\",d(\"left\")),o.addEventListener(\"click\",d(\"right\")),this.scroll_el=l.div({class:_.bk_btn_group},a,o),this.header_el=l.div({class:[n.bk_tabs_header,r.bk_side(t)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=l.children(this.headers_el);for(const e of t)e.classList.remove(r.bk_active);t[e].classList.add(r.bk_active);const{child_views:s}=this;for(const e of s)l.hide(e.el);l.show(s[e].el)}}s.TabsView=v,v.__name__=\"TabsView\";class g extends c.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=v,this.define({tabs:[o.Array,[]],tabs_location:[o.Location,\"above\"],active:[o.Number,0]})}}s.Tabs=g,g.__name__=\"Tabs\",g.init_Tabs();class w extends d.Model{constructor(e){super(e)}static init_Panel(){this.define({title:[o.String,\"\"],child:[o.Instance],closable:[o.Boolean,!1]})}}s.Panel=w,w.__name__=\"Panel\",w.init_Panel()},\n      function _(e,b,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.bk_tabs_header=\"bk-tabs-header\",a.bk_headers_wrapper=\"bk-headers-wrapper\",a.bk_headers=\"bk-headers\",a.bk_tab=\"bk-tab\",a.bk_close=\"bk-close\"},\n      function _(n,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_btn=\"bk-btn\",t.bk_btn_group=\"bk-btn-group\",t.bk_btn_default=\"bk-btn-default\",t.bk_btn_primary=\"bk-btn-primary\",t.bk_btn_success=\"bk-btn-success\",t.bk_btn_warning=\"bk-btn-warning\",t.bk_btn_danger=\"bk-btn-danger\",t.bk_btn_type=function(n){switch(n){case\"default\":return t.bk_btn_default;case\"primary\":return t.bk_btn_primary;case\"success\":return t.bk_btn_success;case\"warning\":return t.bk_btn_warning;case\"danger\":return t.bk_btn_danger}},t.bk_dropdown_toggle=\"bk-dropdown-toggle\"},\n      function _(e,b,d){Object.defineProperty(d,\"__esModule\",{value:!0}),d.bk_menu=\"bk-menu\",d.bk_caret=\"bk-caret\",d.bk_divider=\"bk-divider\"},\n      function _(n,o,b){Object.defineProperty(b,\"__esModule\",{value:!0});b.default=\"\\n.bk-root .bk-btn {\\n  height: 100%;\\n  display: inline-block;\\n  text-align: center;\\n  vertical-align: middle;\\n  white-space: nowrap;\\n  cursor: pointer;\\n  padding: 6px 12px;\\n  font-size: 12px;\\n  border: 1px solid transparent;\\n  border-radius: 4px;\\n  outline: 0;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-btn:hover,\\n.bk-root .bk-btn:focus {\\n  text-decoration: none;\\n}\\n.bk-root .bk-btn:active,\\n.bk-root .bk-btn.bk-active {\\n  background-image: none;\\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\\n}\\n.bk-root .bk-btn[disabled] {\\n  cursor: not-allowed;\\n  pointer-events: none;\\n  opacity: 0.65;\\n  box-shadow: none;\\n}\\n.bk-root .bk-btn-default {\\n  color: #333;\\n  background-color: #fff;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n  background-color: #f5f5f5;\\n  border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n  background-color: #ebebeb;\\n  border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n  background-color: #e6e6e6;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n  color: #fff;\\n  background-color: #428bca;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n  background-color: #3681c1;\\n  border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n  background-color: #3276b1;\\n  border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n  background-color: #506f89;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n  color: #fff;\\n  background-color: #5cb85c;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n  background-color: #4eb24e;\\n  border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n  background-color: #47a447;\\n  border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n  background-color: #667b66;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n  color: #fff;\\n  background-color: #f0ad4e;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n  background-color: #eea43b;\\n  border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n  background-color: #ed9c28;\\n  border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n  background-color: #c89143;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n  color: #fff;\\n  background-color: #d9534f;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n  background-color: #d5433e;\\n  border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n  background-color: #d2322d;\\n  border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n  background-color: #a55350;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n  height: 100%;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n  margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n  border-bottom-right-radius: 0;\\n  border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n  border-bottom-left-radius: 0;\\n  border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n  border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n  flex: 0 0 0;\\n  -webkit-flex: 0 0 0;\\n  padding: 6px 6px;\\n}\\n\"},\n      function _(n,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});r.default=\"\\n.bk-root .bk-menu-icon {\\n  width: 28px;\\n  height: 28px;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-context-menu {\\n  position: absolute;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n  width: auto;\\n  height: auto;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-context-menu.bk-horizontal {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-context-menu.bk-vertical {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-context-menu > .bk-divider {\\n  cursor: default;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > .bk-divider {\\n  width: 1px;\\n  margin: 5px 0;\\n}\\n.bk-root .bk-context-menu.bk-vertical > .bk-divider {\\n  height: 1px;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider) {\\n  border: 1px solid transparent;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider).bk-active {\\n  border-color: #26aae1;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider):hover {\\n  background-color: #f9f9f9;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-bottom-left-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child {\\n  border-top-right-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-top-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child {\\n  border-bottom-left-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-menu {\\n  position: absolute;\\n  left: 0;\\n  width: 100%;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n  bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n  top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n  height: 1px;\\n  margin: 7.5px 0;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n  padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n  background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n  display: inline-block;\\n  vertical-align: middle;\\n  width: 0;\\n  height: 0;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-caret.bk-down {\\n  border-top: 4px solid;\\n}\\n.bk-root .bk-caret.bk-up {\\n  border-bottom: 4px solid;\\n}\\n.bk-root .bk-caret.bk-down,\\n.bk-root .bk-caret.bk-up {\\n  border-right: 4px solid transparent;\\n  border-left: 4px solid transparent;\\n}\\n.bk-root .bk-caret.bk-left {\\n  border-right: 4px solid;\\n}\\n.bk-root .bk-caret.bk-right {\\n  border-left: 4px solid;\\n}\\n.bk-root .bk-caret.bk-left,\\n.bk-root .bk-caret.bk-right {\\n  border-top: 4px solid transparent;\\n  border-bottom: 4px solid transparent;\\n}\\n\"},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default='\\n.bk-root .bk-tabs-header {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  overflow: hidden;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group {\\n  height: auto;\\n  margin-right: 5px;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group > .bk-btn {\\n  flex-grow: 0;\\n  -webkit-flex-grow: 0;\\n  height: auto;\\n  padding: 4px 4px;\\n}\\n.bk-root .bk-tabs-header .bk-headers-wrapper {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  overflow: hidden;\\n  color: #666666;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper {\\n  border-bottom: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper {\\n  border-left: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper {\\n  border-top: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper {\\n  border-right: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-above,\\n.bk-root .bk-tabs-header.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers,\\n.bk-root .bk-tabs-header.bk-below .bk-headers {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-left,\\n.bk-root .bk-tabs-header.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers,\\n.bk-root .bk-tabs-header.bk-right .bk-headers {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header .bk-headers {\\n  position: relative;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n}\\n.bk-root .bk-tabs-header .bk-tab {\\n  padding: 4px 8px;\\n  border: solid transparent;\\n  white-space: nowrap;\\n  cursor: pointer;\\n}\\n.bk-root .bk-tabs-header .bk-tab:hover {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .bk-tabs-header .bk-tab.bk-active {\\n  color: #4d4d4d;\\n  background-color: white;\\n  border-color: #e6e6e6;\\n}\\n.bk-root .bk-tabs-header .bk-tab .bk-close {\\n  margin-left: 10px;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-tab {\\n  border-width: 3px 1px 0px 1px;\\n  border-radius: 4px 4px 0 0;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-tab {\\n  border-width: 1px 3px 1px 0px;\\n  border-radius: 0 4px 4px 0;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-tab {\\n  border-width: 0px 1px 3px 1px;\\n  border-radius: 0 0 4px 4px;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-tab {\\n  border-width: 1px 0px 1px 3px;\\n  border-radius: 4px 0 0 4px;\\n}\\n.bk-root .bk-close {\\n  display: inline-block;\\n  width: 10px;\\n  height: 10px;\\n  vertical-align: middle;\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"gray\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"gray\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n.bk-root .bk-close:hover {\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"red\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"red\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n'},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(247);class _ extends o.ColumnView{}i.WidgetBoxView=_,_.__name__=\"WidgetBoxView\";class n extends o.Column{constructor(e){super(e)}static init_WidgetBox(){this.prototype.default_view=_}}i.WidgetBox=n,n.__name__=\"WidgetBox\",n.init_WidgetBox()},\n      function _(r,a,o){Object.defineProperty(o,\"__esModule\",{value:!0});var e=r(261);o.CategoricalColorMapper=e.CategoricalColorMapper;var p=r(263);o.CategoricalMarkerMapper=p.CategoricalMarkerMapper;var l=r(264);o.CategoricalPatternMapper=l.CategoricalPatternMapper;var C=r(116);o.ContinuousColorMapper=C.ContinuousColorMapper;var M=r(117);o.ColorMapper=M.ColorMapper;var t=r(115);o.LinearColorMapper=t.LinearColorMapper;var i=r(265);o.LogColorMapper=i.LogColorMapper},\n      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),a=r(262),c=r(117),i=o.__importStar(r(18));class s extends c.ColorMapper{constructor(r){super(r)}static init_CategoricalColorMapper(){this.define({factors:[i.Array],start:[i.Number,0],end:[i.Number]})}_v_compute(r,t,e,{nan_color:o}){a.cat_v_compute(r,this.factors,e,t,this.start,this.end,o)}}e.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(12),i=e(8);function u(e,n){if(e.length!=n.length)return!1;for(let t=0,l=e.length;t<l;t++)if(e[t]!==n[t])return!1;return!0}t._cat_equals=u,t.cat_v_compute=function(e,n,t,c,f,o,r){for(let _=0,g=e.length;_<g;_++){let 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init_CategoricalPatternMapper(){this.define({factors:[i.Array],patterns:[i.Array],start:[i.Number,0],end:[i.Number],default_value:[i.HatchPatternType,\" \"]})}v_compute(t){const e=new Array(t.length);return n.cat_v_compute(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=c,c.__name__=\"CategoricalPatternMapper\",c.init_CategoricalPatternMapper()},\n      function _(o,l,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=o(116),e=o(12);class i extends t.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,l,n,t){const{nan_color:i,low_color:h,high_color:c}=t,r=n.length,s=null!=this.low?this.low:e.min(o),u=null!=this.high?this.high:e.max(o),a=r/(Math.log(u)-Math.log(s)),g=n.length-1;for(let t=0,e=o.length;t<e;t++){const e=o[t];if(isNaN(e)){l[t]=i;continue}if(e>u){l[t]=null!=c?c:n[g];continue}if(e==u){l[t]=n[g];continue}if(e<s){l[t]=null!=h?h:n[0];continue}const r=Math.log(e)-Math.log(s);let 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c.Selection({indices:o})}_hit_poly(e){const{sx:s,sy:t}=e,i=h.range(0,this.sx.length),r=[];for(let e=0,n=i.length;e<n;e++){const n=i[e];a.point_in_poly(this.sx[e],this.sy[e],s,t)&&r.push(n)}return new c.Selection({indices:r})}draw_legend_for_index(e,{x0:s,x1:t,y0:i,y1:r},n){const a=n+1,_=new Array(a);_[n]=(s+t)/2;const h=new Array(a);h[n]=(i+r)/2;const c=new Array(a);c[n]=.4*Math.min(Math.abs(t-s),Math.abs(r-i));const o=new Array(a);o[n]=0,this._render(e,[n],{sx:_,sy:h,_size:c,_angle:o})}}t.MarkerView=o,o.__name__=\"MarkerView\";class x extends r.XYGlyph{constructor(e){super(e)}static init_Marker(){this.mixins([n.LineVector,n.FillVector]),this.define({size:[_.DistanceSpec,{units:\"screen\",value:4}],angle:[_.AngleSpec,0]})}}t.Marker=x,x.__name__=\"Marker\",x.init_Marker()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=e(1),s=e(268),n=e(267),i=a.__importStar(e(18));class _ extends s.MarkerView{_render(e,t,{sx:r,sy:a,_size:s,_angle:i,_marker:_}){for(const c of t){if(isNaN(r[c]+a[c]+s[c]+i[c])||null==_[c])continue;const t=s[c]/2;e.beginPath(),e.translate(r[c],a[c]),i[c]&&e.rotate(i[c]),n.marker_funcs[_[c]](e,c,t,this.visuals.line,this.visuals.fill),i[c]&&e.rotate(-i[c]),e.translate(-r[c],-a[c])}}draw_legend_for_index(e,{x0:t,x1:r,y0:a,y1:s},n){const i=n+1,_=new Array(i);_[n]=(t+r)/2;const c=new Array(i);c[n]=(a+s)/2;const o=new Array(i);o[n]=.4*Math.min(Math.abs(r-t),Math.abs(s-a));const l=new Array(i);l[n]=0;const u=new Array(i);u[n]=this._marker[n],this._render(e,[n],{sx:_,sy:c,_size:o,_angle:l,_marker:u})}}r.ScatterView=_,_.__name__=\"ScatterView\";class c extends s.Marker{constructor(e){super(e)}static init_Scatter(){this.prototype.default_view=_,this.define({marker:[i.MarkerSpec,{value:\"circle\"}]})}}r.Scatter=c,c.__name__=\"Scatter\",c.init_Scatter()},\n      function _(a,o,p){Object.defineProperty(p,\"__esModule\",{value:!0});var 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rt(){Y.apply(this,arguments);var t=y(this.handler,this);this.touch=new nt(this.manager,t),this.mouse=new j(this.manager,t),this.primaryTouch=null,this.lastTouches=[]}function st(t,e){1&t?(this.primaryTouch=e.changedPointers[0].identifier,ot.call(this,e)):12&t&&ot.call(this,e)}function ot(t){var e=t.changedPointers[0];if(e.identifier===this.primaryTouch){var n={x:e.clientX,y:e.clientY};this.lastTouches.push(n);var i=this.lastTouches;setTimeout((function(){var t=i.indexOf(n);t>-1&&i.splice(t,1)}),2500)}}function at(t){for(var e=t.srcEvent.clientX,n=t.srcEvent.clientY,i=0;i<this.lastTouches.length;i++){var r=this.lastTouches[i],s=Math.abs(e-r.x),o=Math.abs(n-r.y);if(s<=25&&o<=25)return!0}return!1}g(rt,Y,{handler:function(t,e,n){var i=\"touch\"==n.pointerType,r=\"mouse\"==n.pointerType;if(!(r&&n.sourceCapabilities&&n.sourceCapabilities.firesTouchEvents)){if(i)st.call(this,e,n);else 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if(4&t.eventType)return 8;return 32},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Et,mt,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(It,mt,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return gt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,n=this.options.direction;return 30&n?e=t.overallVelocity:6&n?e=t.overallVelocityX:24&n&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&n&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=vt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(At,pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[\"manipulation\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime<e.time;if(this.reset(),1&t.eventType&&0===this.count)return this.failTimeout();if(i&&r&&n){if(4!=t.eventType)return this.failTimeout();var s=!this.pTime||t.timeStamp-this.pTime<e.interval,o=!this.pCenter||L(this.pCenter,t.center)<e.posThreshold;if(this.pTime=t.timeStamp,this.pCenter=t.center,o&&s?this.count+=1:this.count=1,this._input=t,0===this.count%e.taps)return this.hasRequireFailures()?(this._timer=l((function(){this.state=8,this.tryEmit()}),e.interval,this),2):8}return 32},failTimeout:function(){return this._timer=l((function(){this.state=32}),this.options.interval,this),32},reset:function(){clearTimeout(this._timer)},emit:function(){8==this.state&&(this._input.tapCount=this.count,this.manager.emit(this.options.event,this._input))}}),_t.VERSION=\"2.0.7\",_t.defaults={domEvents:!1,touchAction:\"compute\",enable:!0,inputTarget:null,inputClass:null,preset:[[Et,{enable:!1}],[yt,{enable:!1},[\"rotate\"]],[It,{direction:6}],[gt,{direction:6},[\"swipe\"]],[At],[At,{event:\"doubletap\",taps:2},[\"tap\"]],[Tt]],cssProps:{userSelect:\"none\",touchSelect:\"none\",touchCallout:\"none\",contentZooming:\"none\",userDrag:\"none\",tapHighlightColor:\"rgba(0,0,0,0)\"}};function Ct(t,e){var n;this.options=s({},_t.defaults,e||{}),this.options.inputTarget=this.options.inputTarget||t,this.handlers={},this.session={},this.recognizers=[],this.oldCssProps={},this.element=t,this.input=new((n=this).options.inputClass||(M?J:z?nt:R?rt:j))(n,F),this.touchAction=new lt(this,this.options.touchAction),St(this,!0),f(this.options.recognizers,(function(t){var e=this.add(new t[0](t[1]));t[2]&&e.recognizeWith(t[2]),t[3]&&e.requireFailure(t[3])}),this)}function St(t,e){var n,i=t.element;i.style&&(f(t.options.cssProps,(function(r,s){n=D(i.style,s),e?(t.oldCssProps[n]=i.style[n],i.style[n]=r):i.style[n]=t.oldCssProps[n]||\"\"})),e||(t.oldCssProps={}))}Ct.prototype={set:function(t){return s(this.options,t),t.touchAction&&this.touchAction.update(),t.inputTarget&&(this.input.destroy(),this.input.target=t.inputTarget,this.input.init()),this},stop:function(t){this.session.stopped=t?2:1},recognize:function(t){var e=this.session;if(!e.stopped){var n;this.touchAction.preventDefaults(t);var i=this.recognizers,r=e.curRecognizer;(!r||r&&8&r.state)&&(r=e.curRecognizer=null);for(var s=0;s<i.length;)n=i[s],2===e.stopped||r&&n!=r&&!n.canRecognizeWith(r)?n.reset():n.recognize(t),!r&&14&n.state&&(r=e.curRecognizer=n),s++}},get:function(t){if(t instanceof pt)return t;for(var e=this.recognizers,n=0;n<e.length;n++)if(e[n].options.event==t)return e[n];return null},add:function(t){if(p(t,\"add\",this))return this;var e=this.get(t.options.event);return e&&this.remove(e),this.recognizers.push(t),t.manager=this,this.touchAction.update(),t},remove:function(t){if(p(t,\"remove\",this))return this;if(t=this.get(t)){var e=this.recognizers,n=b(e,t);-1!==n&&(e.splice(n,1),this.touchAction.update())}return this},on:function(t,e){if(void 0!==t&&void 0!==e){var n=this.handlers;return f(S(t),(function(t){n[t]=n[t]||[],n[t].push(e)})),this}},off:function(t,e){if(void 0!==t){var n=this.handlers;return f(S(t),(function(t){e?n[t]&&n[t].splice(b(n[t],e),1):delete n[t]})),this}},emit:function(t,e){this.options.domEvents&&function(t,e){var i=n.createEvent(\"Event\");i.initEvent(t,!0,!0),i.gesture=e,e.target.dispatchEvent(i)}(t,e);var i=this.handlers[t]&&this.handlers[t].slice();if(i&&i.length){e.type=t,e.preventDefault=function(){e.srcEvent.preventDefault()};for(var r=0;r<i.length;)i[r](e),r++}},destroy:function(){this.element&&St(this,!1),this.handlers={},this.session={},this.input.destroy(),this.element=null}},s(_t,{INPUT_START:1,INPUT_MOVE:2,INPUT_END:4,INPUT_CANCEL:8,STATE_POSSIBLE:1,STATE_BEGAN:2,STATE_CHANGED:4,STATE_ENDED:8,STATE_RECOGNIZED:8,STATE_CANCELLED:16,STATE_FAILED:32,DIRECTION_NONE:1,DIRECTION_LEFT:2,DIRECTION_RIGHT:4,DIRECTION_UP:8,DIRECTION_DOWN:16,DIRECTION_HORIZONTAL:6,DIRECTION_VERTICAL:24,DIRECTION_ALL:30,Manager:Ct,Input:Y,TouchAction:lt,TouchInput:nt,MouseInput:j,PointerEventInput:J,TouchMouseInput:rt,SingleTouchInput:Q,Recognizer:pt,AttrRecognizer:mt,Tap:At,Pan:gt,Swipe:It,Pinch:yt,Rotate:Et,Press:Tt,on:I,off:A,each:f,merge:m,extend:d,assign:s,inherit:g,bindFn:y,prefixed:D}),(void 0!==t?t:\"undefined\"!=typeof self?self:{}).Hammer=_t,\"function\"==typeof define&&define.amd?define((function(){return _t})):void 0!==e&&e.exports?e.exports=_t:t.Hammer=_t}(window,document)},\n      function 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c;return\"height\"==a||\"both\"==a?(c=[s.min([e,n]),s.max([e,n])],c=[s.max([c[0],l.start]),s.min([c[1],l.end])]):c=[l.start,l.end],[_,c]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}i.Tool=_,_.__name__=\"Tool\",_.init_Tool()},\n      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_toolbar=\"bk-toolbar\",t.bk_toolbar_hidden=\"bk-toolbar-hidden\",t.bk_toolbar_button=\"bk-toolbar-button\",t.bk_button_bar=\"bk-button-bar\",t.bk_toolbar_button_custom_action=\"bk-toolbar-button-custom-action\"},\n      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-toolbar-hidden {\\n  visibility: hidden;\\n  opacity: 0;\\n  transition: visibility 0.3s linear, opacity 0.3s linear;\\n}\\n.bk-root .bk-toolbar,\\n.bk-root .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-toolbar .bk-logo {\\n  flex-shrink: 0;\\n  -webkit-flex-shrink: 0;\\n}\\n.bk-root .bk-toolbar.bk-above,\\n.bk-root .bk-toolbar.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n  justify-content: flex-end;\\n  -webkit-justify-content: flex-end;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-logo,\\n.bk-root .bk-toolbar.bk-below .bk-logo {\\n  order: 1;\\n  -webkit-order: 1;\\n  margin-left: 5px;\\n  margin-right: 0px;\\n}\\n.bk-root .bk-toolbar.bk-left,\\n.bk-root .bk-toolbar.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  justify-content: flex-start;\\n  -webkit-justify-content: flex-start;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-logo,\\n.bk-root .bk-toolbar.bk-right .bk-logo {\\n  order: 0;\\n  -webkit-order: 0;\\n  margin-bottom: 5px;\\n  margin-top: 0px;\\n}\\n.bk-root .bk-toolbar-button {\\n  width: 30px;\\n  height: 30px;\\n  cursor: pointer;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-toolbar-button:hover {\\n  background-color: rgba(192, 192, 192, 0.15);\\n}\\n.bk-root .bk-toolbar-button:focus {\\n  outline: none;\\n}\\n.bk-root .bk-toolbar-button::-moz-focus-inner {\\n  border: 0;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button {\\n  border-bottom: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button.bk-active {\\n  border-bottom-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button {\\n  border-top: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button.bk-active {\\n  border-top-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button {\\n  border-left: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button.bk-active {\\n  border-left-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button {\\n  border-right: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button.bk-active {\\n  border-right-color: #26aae1;\\n}\\n.bk-root .bk-button-bar + .bk-button-bar:before {\\n  content: \" \";\\n  display: inline-block;\\n  background-color: lightgray;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar + .bk-button-bar:before {\\n  height: 10px;\\n  width: 1px;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar + .bk-button-bar:before {\\n  height: 1px;\\n  width: 10px;\\n}\\n'},\n      function _(A,g,C){Object.defineProperty(C,\"__esModule\",{value:!0});C.default='\\n.bk-root .bk-tool-icon-replace-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxokK3gniQAAAHpJREFUWMNjXLhsJcNAAiaGAQajDhhwB7DgEP+PxmeksvjgDwFcLmYkUh2hkBj8IcBIZXsYh1w2/I8v3sgAOM0bLYhGc8GgrwuICgldfQO88pcvXvg/aOuCUQeM5oLRuoCFCJcTbOMh5XOiW0JDNhdQS3y0IBp1ABwAAF8KGrhC1Eg6AAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-append-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkZWD04WwAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAAAoUlEQVRYw+1WQQ6AIAwrhO8Y/bIXEz9jIMSDr8ETCUEPQzA4pMeFLKNbu4l5WR0CDOMEALBGIzMuQIBEZQjPgP9JLjwTfBjY9sO9lZsFA9IafZng3BlIyVefgd8XQFZBAWe8jfNxwsDhir6rzoCiPiy1K+J8/FRQemv2XfAdFcQ9znU4Viqg9ta1qYJ+D1BnAIBrkgGVOrXNqUA9rbyZm/AEzFh4jEeY/soAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-intersect-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkrkOpp2wAAAPhJREFUWMPtV1EKwjAMTUavI3oawR/vtn5srJdREfzwMvHHQlcT2mpdMzFfWxiP5r2+JMN+mAiCOB72CABgR1cln4oOGocJnuMTSxWk8jMm7OggYkYXA9gPE3uyd8NXHONJ+eYMdE/NqCJmEZ5ZqlJJ4sUksKN7cYSaPoCZFWR1QI+Xm1fBACU63Cw22x0AAJxudwrffVwvZ+JmQdAHZkw0d4EpAMCw8k87pMdbnwtizQumJYv3nwV6XOA1qbUT/oQLUJgFRbsiNwFVucBIlyR3p0tdMp+XmFjfLKi1LatyAXtCRjPWBdL3Ke3VuACJKFfDr/xFN2fgAR/Go0qaLlmEAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-subtract-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxgsF5XNOQAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAABFUlEQVRYw9VWUQqDMAxNpWfxQxD1MoP97G7zQ5mH2RTZYLtM9lWoMbXtxLXNX4OG9r28l4hrd0PQoqxqAACYpxH25C/nkwCHyCBwSPoS09k1T5Fo+4EiExcC4v584xGFmyIXHBLRISAVZyZufUPVa4rcrwmPDgr93ylo+2GliLRUYHK6th/o/6r7nfLpqaCsagEA8Hh9FmcNKeRmgeYDC+SCq0B6FFi8/BcV6BdR9cL3gCv3ijPKOacsn3rBEcjmaVxpfGcg4wHxzgJJnc6241Hn23DERFRAu1bNcWa3Q0uXi62XR6sCaWoSejbtdLYmU3kTEunNgj0bUbQqYG/IcMaqwPS9jftoVCAQ0ZVDJwf0zQdH4AsyW6fpQu4YegAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-clear-selection {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root 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url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-zoom-in {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEgsUBmL8iQAAA2JJREFUWMO9l12IlFUYx3//MzPrLpSjkm5oN4FFIWVEl66IQlFYwtLOzozsjHdGRSCRF0sfBEXRVV0FQuQiLm5CZNBFgRRaRLVFhbJ2EdiN5gbK7toObTPn6eYdPTvNzPvOBz5Xh/ec5/n/n89zXtEHmZqeSXSuXBz/3zfdKvBWJHQrwZuRcP0El+QkbQXeBX6WZEgm6TtJk5lM5o4Lc+cV6qpf4Ga20Tm338zeATItVK9Ker6yvPzp4NDQ3+XieGsCU9MzTYumGbhz7m4ze9/MHgvBgItACrgfGAj2jgAvAYs3wlEujjc13kii8YyZrXXOfWhmo9GnFUlvOOemarVapVqtkslksmb2KjARqL62ecuWN9NxbRInzrldAXhV0uFSIfdew7G/gNLU9MwS8CwSmE3Oz88fcXG5blfpqVRq0Ix8VIAAX0XgrVL7HDCHGcCaWrV60LUBN8Dae58aQIxEqcA592I9M610JL0cpG/U9TIHJNKY3RV5z0R+7Nd4HZ0P1g/2RMBuegLAsRMnb4vT8d5vqKfMzOgtAlADrkmqGywmiMBTwfr3dC9j1Xv/r6Tvg/5/5ejxE6cO7M9faVbQZrYNOFSPmqQvVo9FKexvi5uWX58943aM7DwAfBDY+FbSCxP5sdkGx55GeguzrUEXPaSo2pFkAbiSZQCAzZJOmdkjwd6SpB/M7KykQTPbA2wDhoIzRzcNDx9MJwGNIXdJ0mEzmwbujL7dbma7gd03A7lKfnTOvf74nl0r6bonTUbujRSUCrm2d4L3/kvn3JPe+8+BDW2i9o+kT7z3kxP5sYsA6W47oE64TsR7P9tQL4vA2mh9WdIscKxUyJ0M7aR7acOGzikD65EQLEjaa2ZXzMwDFeB6qZBbbLTRE4EGeSaozNOZgYFf8qP7lmIvs354n0qlHpB0T7B9Ogl4IgJJrmjv/SiQjbrkD+BMUkfSbYATPdckrTOzkciWAXOlQu5cYgLdPEIapud9wMOR9zVJH3ViKx333mtHMJvNuoWFhZ3A+ojMcja77njXBEKwJJfTcqUyCIQ34Mf7nnh0paMnXacFuGoC1mr3AtuDfLzd8Zuyl+rfuGn4HLAD+Az4qZQf+61TAj0Noj8vX6oC35SL43u7teG6rf5+iXppwW7/JUL5D03qaFRvvUe+AAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-zoom-out {\\n  background-image: 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     function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(68),o=n.__importStar(t(255));class l{constructor(t,e={}){this.items=t,this.options=e,this.el=s.div(),this._open=!1,this._item_click=t=>{var e;null===(e=this.items[t])||void 0===e||e.handler(),this.hide()},this._on_mousedown=t=>{var e,i;const{target:n}=t;n instanceof Node&&this.el.contains(n)||(null===(i=(e=this.options).prevent_hide)||void 0===i?void 0:i.call(e,t))||this.hide()},this._on_keydown=t=>{t.keyCode==s.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},s.undisplay(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){s.remove(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=e.getBoundingClientRect();this.el.style.left=null!=t.left?t.left-i.left+\"px\":\"\",this.el.style.top=null!=t.top?t.top-i.top+\"px\":\"\",this.el.style.right=null!=t.right?i.right-t.right+\"px\":\"\",this.el.style.bottom=null!=t.bottom?i.bottom-t.bottom+\"px\":\"\"}}render(){var t;s.empty(this.el,!0);const e=null!==(t=this.options.orientation)&&void 0!==t?t:\"vertical\";s.classes(this.el).add(\"bk-context-menu\",\"bk-\"+e),s.append(this.el,...this.items.map((t,e)=>{var i;let n;if(null!=t){const e=null!=t.icon?s.div({class:[\"bk-menu-icon\",t.icon]}):null;n=s.div({class:(null===(i=t.active)||void 0===i?void 0:i.call(t))?\"bk-active\":null,title:t.tooltip},e,t.label)}else n=s.div({class:o.bk_divider});return n.addEventListener(\"click\",()=>this._item_click(e)),n}))}show(t){0!=this.items.length&&(this._open||(this.render(),this._position(null!=t?t:{left:0,top:0}),s.display(this.el),this._listen(),this._open=!0))}hide(){this._open&&(this._open=!1,this._unlisten(),s.undisplay(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=l,l.__name__=\"ContextMenu\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(275),i=e(146),s=e(68);class c extends o.ButtonToolButtonView{render(){super.render(),s.classes(this.el).toggle(i.bk_active,this.model.active)}_clicked(){const{active:e}=this.model;this.model.active=!e}}n.OnOffButtonView=c,c.__name__=\"OnOffButtonView\"},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(72),l=t(68),n=t(99),a=i.__importStar(t(18)),r=t(66),_=t(9),c=t(8),h=t(71),u=t(284),v=t(285),d=t(286),b=t(274),p=t(278),g=t(288),f=t(146),m=i.__importDefault(t(279)),w=i.__importDefault(t(289));class y extends h.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define({_visible:[a.Any,null],autohide:[a.Boolean,!1]})}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=y,y.__name__=\"ToolbarViewModel\",y.init_ToolbarViewModel();class T extends r.DOMView{initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new y({autohide:this.model.autohide})}async lazy_initialize(){await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,async()=>{await this._build_tool_button_views(),this.render()}),this.connect(this.model.properties.autohide.change,()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()}),this.connect(this._toolbar_view_model.properties._visible.change,()=>this._on_visible_change())}styles(){return[...super.styles(),m.default,w.default]}remove(){n.remove_views(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await n.build_views(this._tool_button_views,t,{parent:this},t=>t.button_view)}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const t=this._toolbar_view_model.visible,o=p.bk_toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(l.empty(this.el),this.el.classList.add(p.bk_toolbar),this.el.classList.add(f.bk_side(this.model.toolbar_location)),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?g.bk_grey:null,o=l.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[g.bk_logo,g.bk_logo_small,t]});this.el.appendChild(o)}for(const[,t]of this._tool_button_views)t.render();const t=[],o=t=>this._tool_button_views.get(t).el,{gestures:e}=this.model;for(const i in e)t.push(e[i].tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter(t=>t.toggleable).map(o));for(const o of t)if(0!==o.length){const t=l.div({class:p.bk_button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}}function k(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=T,T.__name__=\"ToolbarBaseView\";class M extends h.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=T,this.define({tools:[a.Array,[]],logo:[a.Logo,\"normal\"],autohide:[a.Boolean,!1]}),this.internal({gestures:[a.Any,k],actions:[a.Array,[]],inspectors:[a.Array,[]],help:[a.Array,[]],toolbar_location:[a.Location,\"right\"]})}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map(t=>t.id));return _.some(t,t=>!e.has(t.id))},o=this.tools.filter(t=>t instanceof b.InspectTool);t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter(t=>t instanceof d.HelpTool);t(this.help,e)&&(this.help=e);const i=this.tools.filter(t=>t instanceof v.ActionTool);t(this.actions,i)&&(this.actions=i);const l=(t,o)=>{t in this.gestures||s.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},n={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof u.GestureTool&&t.event_type)if(c.isString(t.event_type))n[t.event_type].tools.push(t),l(t.event_type,t);else{n.multi.tools.push(t);for(const o of t.event_type)l(o,t)}for(const o of Object.keys(n)){const e=this.gestures[o];t(e.tools,n[o].tools)&&(e.tools=n[o].tools),e.active&&_.every(e.tools,t=>t.id!=e.active.id)&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=c.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(s.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,s.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=M,M.__name__=\"ToolbarBase\",M.init_ToolbarBase()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(275),n=e(282);class u extends s.ButtonToolView{}t.GestureToolView=u,u.__name__=\"GestureToolView\";class _ extends s.ButtonTool{constructor(e){super(e),this.button_view=n.OnOffButtonView}}t.GestureTool=_,_.__name__=\"GestureTool\"},\n      function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=o(275),i=o(14);class s extends e.ButtonToolButtonView{_clicked(){this.model.do.emit()}}n.ActionToolButtonView=s,s.__name__=\"ActionToolButtonView\";class c extends e.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,()=>this.doit())}}n.ActionToolView=c,c.__name__=\"ActionToolView\";class l extends e.ButtonTool{constructor(o){super(o),this.button_view=s,this.do=new i.Signal0(this,\"do\")}}n.ActionTool=l,l.__name__=\"ActionTool\"},\n      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(1),l=o(285),s=i.__importStar(o(18)),n=o(287);class _ extends l.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=_,_.__name__=\"HelpToolView\";class r extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.bk_tool_icon_help}static init_HelpTool(){this.prototype.default_view=_,this.define({help_tooltip:[s.String,\"Click the question mark to learn more about Bokeh plot tools.\"],redirect:[s.String,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}),this.register_alias(\"help\",()=>new r)}get tooltip(){return this.help_tooltip}}t.HelpTool=r,r.__name__=\"HelpTool\",r.init_HelpTool()},\n      function _(o,_,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tool_icon_box_select=\"bk-tool-icon-box-select\",l.bk_tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",l.bk_tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",l.bk_tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",l.bk_tool_icon_help=\"bk-tool-icon-help\",l.bk_tool_icon_hover=\"bk-tool-icon-hover\",l.bk_tool_icon_crosshair=\"bk-tool-icon-crosshair\",l.bk_tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",l.bk_tool_icon_pan=\"bk-tool-icon-pan\",l.bk_tool_icon_xpan=\"bk-tool-icon-xpan\",l.bk_tool_icon_ypan=\"bk-tool-icon-ypan\",l.bk_tool_icon_range=\"bk-tool-icon-range\",l.bk_tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",l.bk_tool_icon_redo=\"bk-tool-icon-redo\",l.bk_tool_icon_reset=\"bk-tool-icon-reset\",l.bk_tool_icon_save=\"bk-tool-icon-save\",l.bk_tool_icon_tap_select=\"bk-tool-icon-tap-select\",l.bk_tool_icon_undo=\"bk-tool-icon-undo\",l.bk_tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",l.bk_tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",l.bk_tool_icon_box_edit=\"bk-tool-icon-box-edit\",l.bk_tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",l.bk_tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",l.bk_tool_icon_point_draw=\"bk-tool-icon-point-draw\",l.bk_tool_icon_poly_edit=\"bk-tool-icon-poly-edit\",l.bk_tool_icon_line_edit=\"bk-tool-icon-line-edit\"},\n      function _(o,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_logo=\"bk-logo\",b.bk_logo_notebook=\"bk-logo-notebook\",b.bk_logo_small=\"bk-logo-small\",b.bk_grey=\"bk-grey\"},\n      function _(l,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-logo {\\n  margin: 5px;\\n  position: relative;\\n  display: block;\\n  background-repeat: no-repeat;\\n}\\n.bk-root .bk-logo.bk-grey {\\n  filter: url(\\\"data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg'><filter id='grayscale'><feColorMatrix type='matrix' values='0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0'/></filter></svg>#grayscale\\\");\\n  /* Firefox 10+, Firefox on Android */\\n  filter: gray;\\n  /* IE6-9 */\\n  -webkit-filter: grayscale(100%);\\n  /* Chrome 19+, Safari 6+, Safari 6+ iOS */\\n}\\n.bk-root .bk-logo-small {\\n  width: 20px;\\n  height: 20px;\\n  background-image: 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e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left),s=this.right_panel.measure({width:0,height:t.height}),n=Math.max(s.width,this.min_border.right),a=this.top_panel.measure({width:t.width,height:0}),o=Math.max(a.height,this.min_border.top),l=this.bottom_panel.measure({width:t.width,height:0}),r=Math.max(l.height,this.min_border.bottom),h=new x.Sizeable(t).shrink_by({left:i,right:n,top:o,bottom:r}),_=this.center_panel.measure(h);return{width:i+_.width+n,height:o+_.height+r,inner:{left:i,right:n,top:o,bottom:r},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),s=this.right_panel.measure({width:0,height:t.height}),n=this.top_panel.measure({width:t.width,height:0}),a=this.bottom_panel.measure({width:t.width,height:0}),{left:o,top:l,right:r,bottom:h}=e;this.top_panel.set_geometry(new O.BBox({left:o,right:r,bottom:l,height:n.height})),this.bottom_panel.set_geometry(new O.BBox({left:o,right:r,top:h,height:a.height})),this.left_panel.set_geometry(new O.BBox({top:l,bottom:h,right:o,width:i.width})),this.right_panel.set_geometry(new O.BBox({top:l,bottom:h,left:r,width:s.width}))}}i.PlotLayout=j,j.__name__=\"PlotLayout\";class P extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new O.BBox,this._inner_bbox=new O.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(t=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||t||this.request_paint()}request_render(){this.request_paint()}request_paint(t){if(null!=t?this._invalidated_painters.add(t):this._invalidate_all=!0,!this.is_paused){const t=this.throttled_paint();this._ready=this._ready.then(()=>t)}}request_layout(){this._needs_layout=!0,this.request_paint()}reset(){\"standard\"==this.model.reset_policy&&(this.clear_state(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new u.Reset)}remove(){this.ui_event_bus.destroy(),p.remove_views(this.renderer_views),p.remove_views(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.state_changed=new c.Signal0(this,\"state_changed\"),this.lod_started=!1,this.visuals=new m.Visuals(this.model),this._initial_state_info={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.state={history:[],index:-1};const{hidpi:t,output_backend:e}=this.model;this.canvas=new a.Canvas({hidpi:t,output_backend:e}),this.frame=new n.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges),this.throttled_paint=b.throttle(()=>this.repaint(),1e3/60);const{title_location:i,title:s}=this.model;null!=i&&null!=s&&(this._title=s instanceof h.Title?s:new h.Title({text:s}));const{toolbar_location:o,toolbar:l}=this.model;null!=o&&null!=l&&(this._toolbar=new d.ToolbarPanel({toolbar:l}),l.toolbar_location=o),this.renderer_views=new Map,this.tool_views=new Map}async lazy_initialize(){this.canvas_view=await p.build_view(this.canvas,{parent:this}),this.ui_event_bus=new g.UIEvents(this,this.model.toolbar,this.canvas_view.events_el),await this.build_renderer_views(),await this.build_tool_views(),this.update_dataranges(),this.unpause(!0),f.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){this.layout=new j,this.layout.set_sizing(this.box_sizing());const{frame_width:t,frame_height:e}=this.model;this.layout.center_panel=this.frame,this.layout.center_panel.set_sizing(Object.assign(Object.assign({},null!=t?{width_policy:\"fixed\",width:t}:{width_policy:\"fit\"}),null!=e?{height_policy:\"fixed\",height:e}:{height_policy:\"fit\"}));const i=v.copy(this.model.above),s=v.copy(this.model.below),n=v.copy(this.model.left),a=v.copy(this.model.right),o=t=>{switch(t){case\"above\":return i;case\"below\":return s;case\"left\":return n;case\"right\":return a}},{title_location:l,title:r}=this.model;null!=l&&null!=r&&o(l).push(this._title);const{toolbar_location:_,toolbar:u}=this.model;if(null!=_&&null!=u){const t=o(_);let e=!0;if(this.model.toolbar_sticky)for(let i=0;i<t.length;i++){const s=t[i];if(s instanceof h.Title){t[i]=\"above\"==_||\"below\"==_?[s,this._toolbar]:[this._toolbar,s],e=!1;break}}e&&t.push(this._toolbar)}const c=(t,e)=>{const i=this.renderer_views.get(e);return i.layout=new M.SidePanel(t,i)},p=(t,e)=>{const i=\"above\"==t||\"below\"==t,s=[];for(const n of e)if(w.isArray(n)){const e=n.map(e=>{const s=c(t,e);if(e instanceof d.ToolbarPanel){const t=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[t]:\"min\"}))}return s});let a;i?(a=new k.Row(e),a.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(a=new k.Column(e),a.set_sizing({width_policy:\"min\",height_policy:\"max\"})),a.absolute=!0,s.push(a)}else s.push(c(t,n));return s},g=null!=this.model.min_border?this.model.min_border:0;this.layout.min_border={left:null!=this.model.min_border_left?this.model.min_border_left:g,top:null!=this.model.min_border_top?this.model.min_border_top:g,right:null!=this.model.min_border_right?this.model.min_border_right:g,bottom:null!=this.model.min_border_bottom?this.model.min_border_bottom:g};const m=new z.VStack,f=new z.VStack,b=new z.HStack,y=new z.HStack;m.children=v.reversed(p(\"above\",i)),f.children=p(\"below\",s),b.children=v.reversed(p(\"left\",n)),y.children=p(\"right\",a),m.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),f.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),b.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),y.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.top_panel=m,this.layout.bottom_panel=f,this.layout.left_panel=b,this.layout.right_panel=y}get axis_views(){const t=[];for(const[,e]of this.renderer_views)e instanceof _.AxisView&&t.push(e);return t}set_cursor(t=\"default\"){this.canvas_view.el.style.cursor=t}set_toolbar_visibility(t){for(const e of this.visibility_callbacks)e(t)}update_dataranges(){const t=new Map,e=new Map;let i=!1;for(const t of y.values(this.frame.x_ranges).concat(y.values(this.frame.y_ranges)))t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(i=!0);for(const[s,n]of this.renderer_views)if(n instanceof l.GlyphRendererView){const a=n.glyph.bounds();if(null!=a&&t.set(s,a),i){const t=n.glyph.log_bounds();null!=t&&e.set(s,t)}}let s=!1,n=!1;const{width:a,height:r}=this.frame.bbox;let h;!1!==this.model.match_aspect&&0!=a&&0!=r&&(h=1/this.model.aspect_scale*(a/r));for(const i of y.values(this.frame.x_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,0,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}for(const i of y.values(this.frame.y_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,1,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}if(s&&n){f.logger.warn(\"Follow enabled so bounds are unset.\");for(const t of y.values(this.frame.x_ranges))t.bounds=null;for(const t of y.values(this.frame.y_ranges))t.bounds=null}this.range_update_timestamp=Date.now()}map_to_screen(t,e,i=\"default\",s=\"default\"){return this.frame.map_to_screen(t,e,i,s)}push_state(t,e){const{history:i,index:s}=this.state,n=null!=i[s]?i[s].info:{},a=Object.assign(Object.assign(Object.assign({},this._initial_state_info),n),e);this.state.history=this.state.history.slice(0,this.state.index+1),this.state.history.push({type:t,info:a}),this.state.index=this.state.history.length-1,this.state_changed.emit()}clear_state(){this.state={history:[],index:-1},this.state_changed.emit()}can_undo(){return this.state.index>=0}can_redo(){return this.state.index<this.state.history.length-1}undo(){this.can_undo()&&(this.state.index-=1,this._do_state_change(this.state.index),this.state_changed.emit())}redo(){this.can_redo()&&(this.state.index+=1,this._do_state_change(this.state.index),this.state_changed.emit())}_do_state_change(t){const e=null!=this.state.history[t]?this.state.history[t].info:this._initial_state_info;null!=e.range&&this.update_range(e.range),null!=e.selection&&this.update_selection(e.selection)}get_selection(){const t=new Map;for(const e of this.model.renderers)if(e instanceof l.GlyphRenderer){const{selected:i}=e.data_source;t.set(e,i)}return t}update_selection(t){for(const e of this.model.renderers){if(!(e instanceof l.GlyphRenderer))continue;const i=e.data_source;if(null!=t){const s=t.get(e);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_update_ranges_together(t){let e=1;for(const[i,s]of t)e=Math.min(e,this._get_weight_to_constrain_interval(i,s));if(e<1)for(const[i,s]of t)s.start=e*s.start+(1-e)*i.start,s.end=e*s.end+(1-e)*i.end}_update_ranges_individually(t,e,i,s){let n=!1;for(const[s,a]of t){if(!i){const t=this._get_weight_to_constrain_interval(s,a);t<1&&(a.start=t*a.start+(1-t)*s.start,a.end=t*a.end+(1-t)*s.end)}if(null!=s.bounds&&\"auto\"!=s.bounds){const[t,o]=s.bounds,l=Math.abs(a.end-a.start);s.is_reversed?(null!=t&&t>=a.end&&(n=!0,a.end=t,(e||i)&&(a.start=t+l)),null!=o&&o<=a.start&&(n=!0,a.start=o,(e||i)&&(a.end=o-l))):(null!=t&&t>=a.start&&(n=!0,a.start=t,(e||i)&&(a.end=t+l)),null!=o&&o<=a.end&&(n=!0,a.end=o,(e||i)&&(a.start=o-l)))}}if(!(i&&n&&s))for(const[e,i]of t)e.have_updated_interactively=!0,e.start==i.start&&e.end==i.end||e.setv(i)}_get_weight_to_constrain_interval(t,e){const{min_interval:i}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[e,i]=t.bounds;if(null!=e&&null!=i){const t=Math.abs(i-e);s=null!=s?Math.min(s,t):t}}let n=1;if(null!=i||null!=s){const a=Math.abs(t.end-t.start),o=Math.abs(e.end-e.start);i>0&&o<i&&(n=(a-i)/(a-o)),s>0&&o>s&&(n=(s-a)/(o-a)),n=Math.max(0,Math.min(1,n))}return n}update_range(t,e=!1,i=!1,s=!0){this.pause();const{x_ranges:n,y_ranges:a}=this.frame;if(null==t){for(const t in n){n[t].reset()}for(const t in a){a[t].reset()}this.update_dataranges()}else{const o=[];for(const e in n){const i=n[e];o.push([i,t.xrs[e]])}for(const e in a){const i=a[e];o.push([i,t.yrs[e]])}i&&this._update_ranges_together(o),this._update_ranges_individually(o,e,i,s)}this.unpause()}reset_range(){this.update_range(null)}_invalidate_layout(){(()=>{for(const t of this.model.side_panels){if(this.renderer_views.get(t).layout.has_size_changed())return!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map(t=>this.renderer_views.get(t))}async build_renderer_views(){this.computed_renderers=[];const{above:t,below:e,left:i,right:s,center:n,renderers:a}=this.model;this.computed_renderers.push(...t,...e,...i,...s,...n,...a),null!=this._title&&this.computed_renderers.push(this._title),null!=this._toolbar&&this.computed_renderers.push(this._toolbar);for(const t of this.model.toolbar.tools)null!=t.overlay&&this.computed_renderers.push(t.overlay),this.computed_renderers.push(...t.synthetic_renderers);await p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const t=this.model.toolbar.tools;(await p.build_views(this.tool_views,t,{parent:this})).map(t=>this.ui_event_bus.register_tool(t))}connect_signals(){super.connect_signals();const{x_ranges:t,y_ranges:e}=this.frame;for(const e in t){const i=t[e];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}for(const t in e){const i=e[t];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}const{plot_width:i,plot_height:s}=this.model.properties;this.on_change([i,s],()=>this.invalidate_layout());const{above:n,below:a,left:o,right:l,center:r,renderers:h}=this.model.properties;this.on_change([n,a,o,l,r,h],async()=>await this.build_renderer_views()),this.connect(this.model.toolbar.properties.tools.change,async()=>{await this.build_renderer_views(),await this.build_tool_views()}),this.connect(this.model.change,()=>this.request_paint()),this.connect(this.model.reset,()=>this.reset())}set_initial_range(){let t=!0;const{x_ranges:e,y_ranges:i}=this.frame,s={},n={};for(const i in e){const{start:n,end:a}=e[i];if(null==n||null==a||isNaN(n+a)){t=!1;break}s[i]={start:n,end:a}}if(t)for(const e in i){const{start:s,end:a}=i[e];if(null==s||null==a||isNaN(s+a)){t=!1;break}n[e]={start:s,end:a}}t?(this._initial_state_info.range={xrs:s,yrs:n},f.logger.debug(\"initial ranges set\")):f.logger.warn(\"could not set initial ranges\")}has_finished(){if(!super.has_finished())return!1;for(const[,t]of this.renderer_views)if(!t.has_finished())return!1;return!0}after_layout(){if(super.after_layout(),this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame._width.value),inner_height:Math.round(this.frame._height.value),outer_width:Math.round(this.layout._width.value),outer_height:Math.round(this.layout._height.value)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:t,height:e}=this.layout.bbox;this.canvas_view.resize(t,e),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}this._inner_bbox.equals(this.frame.inner_bbox)||(this._inner_bbox=this.layout.inner_bbox,this._needs_paint=!0),this._needs_paint&&(this._needs_paint=!1,this.paint())}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){if(this.is_paused)return;f.logger.trace(\"PlotView.paint() for \"+this.model.id);const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e<this.model.lod_interval?setTimeout(()=>{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(this.model),this.request_paint()},this.model.lod_timeout):t.interactive_stop(this.model)}for(const[,t]of this.renderer_views)if(null==this.range_update_timestamp||t instanceof l.GlyphRendererView&&t.set_data_timestamp>this.range_update_timestamp){this.update_dataranges();break}let e=!1,i=!1;if(this._invalidate_all)e=!0,i=!0;else for(const t of this._invalidated_painters){const{level:s}=t.model;if(\"overlay\"!=s?e=!0:i=!0,e&&i)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const s=[this.frame._left.value,this.frame._top.value,this.frame._width.value,this.frame._height.value],{primary:n,overlays:a}=this.canvas_view;e&&(n.prepare(),this.canvas_view.prepare_webgl(s),this.canvas_view.clear_webgl(),this._map_hook(n.ctx,s),this._paint_empty(n.ctx,s),this._paint_outline(n.ctx,s),this._paint_levels(n.ctx,\"image\",s,!0),this._paint_levels(n.ctx,\"underlay\",s,!0),this._paint_levels(n.ctx,\"glyph\",s,!0),this._paint_levels(n.ctx,\"guide\",s,!1),this._paint_levels(n.ctx,\"annotation\",s,!1),n.finish()),i&&(a.prepare(),this._paint_levels(a.ctx,\"overlay\",s,!1),a.finish()),null==this._initial_state_info.range&&this.set_initial_range()}_paint_levels(t,e,i,s){for(const n of this.computed_renderers){if(n.level!=e)continue;const a=this.renderer_views.get(n);t.save(),(s||a.needs_clip)&&(t.beginPath(),t.rect(...i),t.clip()),a.render(),t.restore(),a.has_webgl&&(this.canvas_view.blit_webgl(t),this.canvas_view.clear_webgl())}}_map_hook(t,e){}_paint_empty(t,e){const[i,s,n,a]=[0,0,this.layout._width.value,this.layout._height.value],[o,l,r,h]=e;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(t),t.fillRect(i,s,n,a),t.clearRect(o,l,r,h)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(o,l,r,h))}_paint_outline(t,e){if(this.visuals.outline_line.doit){t.save(),this.visuals.outline_line.set_value(t);let[i,s,n,a]=e;i+n==this.layout._width.value&&(n-=1),s+a==this.layout._height.value&&(a-=1),t.strokeRect(i,s,n,a),t.restore()}}save(t){this.canvas_view.save(t)}serializable_state(){const t=super.serializable_state(),{children:e}=t,i=s(t,[\"children\"]),n=this.get_renderer_views().map(t=>t.serializable_state()).filter(t=>\"bbox\"in t);return Object.assign(Object.assign({},i),{children:[...e,...n]})}}i.PlotView=P,P.__name__=\"PlotView\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});var n=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var r=e.length-1;r>=0;r--)(_=e[r])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function _(e){return function(t){t.prototype.event_name=e}}class a{constructor(){this.origin=null}to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}_to_json(){return{model:this.origin}}}s.BokehEvent=a,a.__name__=\"BokehEvent\";let o=class extends a{};s.ButtonClick=o,o.__name__=\"ButtonClick\",s.ButtonClick=o=n([_(\"button_click\")],o);let r=class extends a{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=r,r.__name__=\"MenuItemClick\",s.MenuItemClick=r=n([_(\"menu_item_click\")],r);class c extends a{}s.UIEvent=c,c.__name__=\"UIEvent\";let i=class extends c{};s.LODStart=i,i.__name__=\"LODStart\",s.LODStart=i=n([_(\"lodstart\")],i);let l=class extends c{};s.LODEnd=l,l.__name__=\"LODEnd\",s.LODEnd=l=n([_(\"lodend\")],l);let u=class extends c{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=u,u.__name__=\"SelectionGeometry\",s.SelectionGeometry=u=n([_(\"selectiongeometry\")],u);let h=class extends c{};s.Reset=h,h.__name__=\"Reset\",s.Reset=h=n([_(\"reset\")],h);class d extends c{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=d,d.__name__=\"PointEvent\";let m=class extends d{constructor(e,t,s,n,_,a){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=m,m.__name__=\"Pan\",s.Pan=m=n([_(\"pan\")],m);let p=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=p,p.__name__=\"Pinch\",s.Pinch=p=n([_(\"pinch\")],p);let x=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=x,x.__name__=\"Rotate\",s.Rotate=x=n([_(\"rotate\")],x);let j=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=j,j.__name__=\"MouseWheel\",s.MouseWheel=j=n([_(\"wheel\")],j);let y=class extends d{};s.MouseMove=y,y.__name__=\"MouseMove\",s.MouseMove=y=n([_(\"mousemove\")],y);let P=class extends d{};s.MouseEnter=P,P.__name__=\"MouseEnter\",s.MouseEnter=P=n([_(\"mouseenter\")],P);let O=class extends d{};s.MouseLeave=O,O.__name__=\"MouseLeave\",s.MouseLeave=O=n([_(\"mouseleave\")],O);let b=class extends d{};s.Tap=b,b.__name__=\"Tap\",s.Tap=b=n([_(\"tap\")],b);let g=class extends d{};s.DoubleTap=g,g.__name__=\"DoubleTap\",s.DoubleTap=g=n([_(\"doubletap\")],g);let v=class extends d{};s.Press=v,v.__name__=\"Press\",s.Press=v=n([_(\"press\")],v);let E=class extends d{};s.PressUp=E,E.__name__=\"PressUp\",s.PressUp=E=n([_(\"pressup\")],E);let M=class extends d{};s.PanStart=M,M.__name__=\"PanStart\",s.PanStart=M=n([_(\"panstart\")],M);let f=class extends d{};s.PanEnd=f,f.__name__=\"PanEnd\",s.PanEnd=f=n([_(\"panend\")],f);let R=class extends d{};s.PinchStart=R,R.__name__=\"PinchStart\",s.PinchStart=R=n([_(\"pinchstart\")],R);let S=class extends d{};s.PinchEnd=S,S.__name__=\"PinchEnd\",s.PinchEnd=S=n([_(\"pinchend\")],S);let k=class extends d{};s.RotateStart=k,k.__name__=\"RotateStart\",s.RotateStart=k=n([_(\"rotatestart\")],k);let D=class extends d{};s.RotateEnd=D,D.__name__=\"RotateEnd\",s.RotateEnd=D=n([_(\"rotateend\")],D)},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importDefault(t(276)),r=t(14),a=t(72),h=t(68),_=t(293),o=t(9),c=t(8),l=t(28),p=n.__importStar(t(291)),u=t(281);class d{constructor(t,e,s){this.plot_view=t,this.toolbar=e,this.hit_area=s,this.pan_start=new r.Signal(this,\"pan:start\"),this.pan=new r.Signal(this,\"pan\"),this.pan_end=new r.Signal(this,\"pan:end\"),this.pinch_start=new r.Signal(this,\"pinch:start\"),this.pinch=new r.Signal(this,\"pinch\"),this.pinch_end=new r.Signal(this,\"pinch:end\"),this.rotate_start=new r.Signal(this,\"rotate:start\"),this.rotate=new r.Signal(this,\"rotate\"),this.rotate_end=new r.Signal(this,\"rotate:end\"),this.tap=new r.Signal(this,\"tap\"),this.doubletap=new r.Signal(this,\"doubletap\"),this.press=new r.Signal(this,\"press\"),this.pressup=new r.Signal(this,\"pressup\"),this.move_enter=new r.Signal(this,\"move:enter\"),this.move=new r.Signal(this,\"move\"),this.move_exit=new r.Signal(this,\"move:exit\"),this.scroll=new r.Signal(this,\"scroll\"),this.keydown=new r.Signal(this,\"keydown\"),this.keyup=new r.Signal(this,\"keyup\"),this.hammer=new i.default(this.hit_area,{touchAction:\"auto\",inputClass:i.default.TouchMouseInput}),this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",t=>this._mouse_move(t)),this.hit_area.addEventListener(\"mouseenter\",t=>this._mouse_enter(t)),this.hit_area.addEventListener(\"mouseleave\",t=>this._mouse_exit(t)),this.hit_area.addEventListener(\"contextmenu\",t=>this._context_menu(t)),this.hit_area.addEventListener(\"wheel\",t=>this._mouse_wheel(t)),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new u.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",t=>this._doubletap(t)),this.hammer.on(\"tap\",t=>this._tap(t)),this.hammer.on(\"press\",t=>this._press(t)),this.hammer.on(\"pressup\",t=>this._pressup(t)),this.hammer.get(\"pan\").set({direction:i.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",t=>this._pan_start(t)),this.hammer.on(\"pan\",t=>this._pan(t)),this.hammer.on(\"panend\",t=>this._pan_end(t)),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",t=>this._pinch_start(t)),this.hammer.on(\"pinch\",t=>this._pinch(t)),this.hammer.on(\"pinchend\",t=>this._pinch_end(t)),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",t=>this._rotate_start(t)),this.hammer.on(\"rotate\",t=>this._rotate(t)),this.hammer.on(\"rotateend\",t=>this._rotate_end(t))}register_tool(t){const e=t.model.event_type;null!=e&&(c.isString(e)?this._register_tool(t,e):e.forEach((e,s)=>this._register_tool(t,e,s<1)))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},h=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(\"unsupported event_type: \"+e)}s&&(null!=n._doubletap&&n.connect(this.doubletap,h(n._doubletap.bind(n))),null!=n._keydown&&n.connect(this.keydown,h(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,h(n._keyup.bind(n))),l.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(a.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e){const s=this.plot_view.get_renderer_views();for(const n of o.reversed(s)){const{level:s}=n.model;if((\"annotation\"==s||\"overlay\"==s)&&null!=n.interactive_hit&&n.interactive_hit(t,e))return n}return null}_hit_test_frame(t,e){return this.plot_view.frame.bbox.contains(t,e)}_hit_test_canvas(t,e){return this.plot_view.layout.bbox.contains(t,e)}_trigger(t,e,s){const n=this.toolbar.gestures,i=t.name.split(\":\")[0],r=this._hit_test_renderers(e.sx,e.sy),a=this._hit_test_canvas(e.sx,e.sy);switch(i){case\"move\":{const s=n[i].active;null!=s&&this.trigger(t,e,s.id);const h=this.toolbar.inspectors.filter(t=>t.active);let _=\"default\";null!=r?(_=r.cursor(e.sx,e.sy)||_,o.is_empty(h)||(t=this.move_exit)):this._hit_test_frame(e.sx,e.sy)&&(o.is_empty(h)||(_=\"crosshair\")),this.plot_view.set_cursor(_),this.plot_view.set_toolbar_visibility(a),h.map(s=>this.trigger(t,e,s.id));break}case\"tap\":{const{target:a}=s;if(null!=a&&a!=this.hit_area)return;null!=r&&null!=r.on_hit&&r.on_hit(e.sx,e.sy);const h=n[i].active;null!=h&&this.trigger(t,e,h.id);break}case\"scroll\":{const i=n[l.is_mobile?\"pinch\":\"scroll\"].active;null!=i&&(s.preventDefault(),s.stopPropagation(),this.trigger(t,e,i.id));break}case\"pan\":{const r=n[i].active;null!=r&&(s.preventDefault(),this.trigger(t,e,r.id));break}default:{const s=n[i].active;null!=s&&this.trigger(t,e,s.id)}}this._trigger_bokeh_event(e)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t){const e=(()=>{const e=this.plot_view.frame.xscales.default,s=this.plot_view.frame.yscales.default,{sx:n,sy:i}=t,r=e.invert(n),a=s.invert(i);switch(t.type){case\"wheel\":return new p.MouseWheel(n,i,r,a,t.delta);case\"mousemove\":return new p.MouseMove(n,i,r,a);case\"mouseenter\":return new p.MouseEnter(n,i,r,a);case\"mouseleave\":return new p.MouseLeave(n,i,r,a);case\"tap\":return new p.Tap(n,i,r,a);case\"doubletap\":return new p.DoubleTap(n,i,r,a);case\"press\":return new p.Press(n,i,r,a);case\"pressup\":return new p.PressUp(n,i,r,a);case\"pan\":return new p.Pan(n,i,r,a,t.deltaX,t.deltaY);case\"panstart\":return new p.PanStart(n,i,r,a);case\"panend\":return new p.PanEnd(n,i,r,a);case\"pinch\":return new p.Pinch(n,i,r,a,t.scale);case\"pinchstart\":return new p.PinchStart(n,i,r,a);case\"pinchend\":return new p.PinchEnd(n,i,r,a);case\"rotate\":return new p.Rotate(n,i,r,a,t.rotation);case\"rotatestart\":return new p.RotateStart(n,i,r,a);case\"rotateend\":return new p.RotateEnd(n,i,r,a);default:return}})();null!=e&&this.plot_view.model.trigger_event(e)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=h.offset(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:_.getDeltaY(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){const e=this._tap_event(t);this._trigger_bokeh_event(e),this.trigger(this.doubletap,e)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEvents=d,d.__name__=\"UIEvents\"},\n      function _(e,t,n){\n      /*!\n           * jQuery Mousewheel 3.1.13\n           *\n           * Copyright jQuery Foundation and other contributors\n           * Released under the MIT license\n           * http://jquery.org/license\n           */\n      function r(e){const t=getComputedStyle(e).fontSize;return null!=t?parseInt(t,10):null}Object.defineProperty(n,\"__esModule\",{value:!0}),n.getDeltaY=function(e){let t=-e.deltaY;if(e.target instanceof HTMLElement)switch(e.deltaMode){case e.DOM_DELTA_LINE:t*=r((n=e.target).offsetParent||document.body)||r(n)||16;break;case e.DOM_DELTA_PAGE:t*=function(e){return e.clientHeight}(e.target)}var n;return t}},\n      function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=(\"undefined\"!=typeof window?window.requestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.webkitRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.mozRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.msRequestAnimationFrame:void 0)||function(n){return n(Date.now()),-1};o.throttle=function(n,e){let o=null,i=0,u=!1;return function(){return new Promise((d,w)=>{const r=function(){i=Date.now(),o=null,u=!1;try{n(),d()}catch(n){w(n)}},a=Date.now(),f=e-(a-i);f<=0&&!u?(null!=o&&clearTimeout(o),u=!0,t(r)):o||u?d():o=setTimeout(()=>t(r),f)})}}},\n      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const l=i(189),a=i(190),r=i(8),o=Math.PI/2,h=\"left\",s=\"center\",n={above:{parallel:0,normal:-o,horizontal:0,vertical:-o},below:{parallel:0,normal:o,horizontal:0,vertical:o},left:{parallel:-o,normal:0,horizontal:0,vertical:-o},right:{parallel:o,normal:0,horizontal:0,vertical:o}},d={above:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"alphabetic\",vertical:\"middle\"},below:{justified:\"bottom\",parallel:\"hanging\",normal:\"middle\",horizontal:\"hanging\",vertical:\"middle\"},left:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"},right:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"}},_={above:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},below:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},left:{justified:s,parallel:s,normal:\"right\",horizontal:\"right\",vertical:s},right:{justified:s,parallel:s,normal:h,horizontal:h,vertical:s}},c={above:\"right\",below:h,left:\"right\",right:h},m={above:h,below:\"right\",left:\"right\",right:h};class g extends a.ContentLayoutable{constructor(i,t){switch(super(),this.side=i,this.obj=t,this.side){case\"above\":this._dim=0,this._normals=[0,-1];break;case\"below\":this._dim=0,this._normals=[0,1];break;case\"left\":this._dim=1,this._normals=[-1,0];break;case\"right\":this._dim=1,this._normals=[1,0]}this.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){return new l.Sizeable(this.get_oriented_size())}get_oriented_size(){const{width:i,height:t}=this.obj.get_size();return!this.obj.rotate||this.is_horizontal?{width:i,height:t}:{width:t,height:i}}has_size_changed(){const{width:i,height:t}=this.get_oriented_size();return this.is_horizontal?this.bbox.height!=t:this.bbox.width!=i}get dimension(){return this._dim}get normals(){return this._normals}get is_horizontal(){return 0==this._dim}get is_vertical(){return 1==this._dim}apply_label_text_heuristics(i,t){const e=this.side;let l,a;r.isString(t)?(l=d[e][t],a=_[e][t]):t<0?(l=\"middle\",a=c[e]):(l=\"middle\",a=m[e]),i.textBaseline=l,i.textAlign=a}get_label_angle_heuristic(i){return n[this.side][i]}}e.SidePanel=g,g.__name__=\"SidePanel\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(14),o=t(68),a=t(32),n=t(290),p=new i.Signal0({},\"gmaps_ready\");class l extends n.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){!function(t){window._bokeh_gmaps_callback=()=>p.emit();const e=document.createElement(\"script\");e.type=\"text/javascript\",e.src=`https://maps.googleapis.com/maps/api/js?v=3.36&key=${t}&callback=_bokeh_gmaps_callback`,document.body.appendChild(e)}(atob(this.model.api_key))}p.connect(()=>this.request_render())}this.unpause()}remove(){o.remove(this.map_el),super.remove()}update_range(t){if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(t.sdx||0,t.sdy||0),super.update_range(t);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t);const e=t.factor<0?-1:1,s=this.map.getZoom(),i=s+e;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<0&&this.map.setZoom(s)}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=o.div({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",()=>this._set_bokeh_ranges()),t.event.addListener(this.map,\"bounds_changed\",()=>this._set_bokeh_ranges()),t.event.addListenerOnce(this.map,\"tilesloaded\",()=>this._render_finished()),this.connect(this.model.properties.map_options.change,()=>this._update_options()),this.connect(this.model.map_options.properties.styles.change,()=>this._update_styles()),this.connect(this.model.map_options.properties.lat.change,()=>this._update_center(\"lat\")),this.connect(this.model.map_options.properties.lng.change,()=>this._update_center(\"lng\")),this.connect(this.model.map_options.properties.zoom.change,()=>this._update_zoom()),this.connect(this.model.map_options.properties.map_type.change,()=>this._update_map_type()),this.connect(this.model.map_options.properties.scale_control.change,()=>this._update_scale_control()),this.connect(this.model.map_options.properties.tilt.change,()=>this._update_tilt())}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,i]=this._get_latlon_bounds(),[o,n]=a.wgs84_mercator.forward([t,s]),[p,l]=a.wgs84_mercator.forward([e,i]);return[o,p,n,l]}_set_bokeh_ranges(){const[t,e,s,i]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:i})}_update_center(t){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,i,o]=e;this.map_el.style.top=s+\"px\",this.map_el.style.left=t+\"px\",this.map_el.style.width=i+\"px\",this.map_el.style.height=o+\"px\"}}_paint_empty(t,e){const s=this.layout._width.value,i=this.layout._height.value,[o,a,n,p]=e;t.clearRect(0,0,s,i),t.beginPath(),t.moveTo(0,0),t.lineTo(0,i),t.lineTo(s,i),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(o,a),t.lineTo(o+n,a),t.lineTo(o+n,a+p),t.lineTo(o,a+p),t.lineTo(o,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=this.model.border_fill_color,t.fill())}}s.GMapPlotView=l,l.__name__=\"GMapPlotView\"},\n      function _(a,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});var g=a(187);n.DataRange=g.DataRange;var R=a(186);n.DataRange1d=R.DataRange1d;var r=a(90);n.FactorRange=r.FactorRange;var t=a(91);n.Range=t.Range;var d=a(131);n.Range1d=d.Range1d},\n      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var n=e(81);d.GlyphRenderer=n.GlyphRenderer;var R=e(100);d.GraphRenderer=R.GraphRenderer;var a=e(151);d.GuideRenderer=a.GuideRenderer;var G=e(65);d.Renderer=G.Renderer},\n      function _(a,e,c){Object.defineProperty(c,\"__esModule\",{value:!0});var l=a(185);c.CategoricalScale=l.CategoricalScale;var o=a(121);c.ContinuousScale=o.ContinuousScale;var r=a(120);c.LinearScale=r.LinearScale;var S=a(130);c.LogScale=S.LogScale;var n=a(122);c.Scale=n.Scale},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(1).__exportStar(e(102),o);var n=e(79);o.Selection=n.Selection},\n      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var o=a(302);r.ServerSentDataSource=o.ServerSentDataSource;var S=a(304);r.AjaxDataSource=S.AjaxDataSource;var u=a(76);r.ColumnDataSource=u.ColumnDataSource;var t=a(77);r.ColumnarDataSource=t.ColumnarDataSource;var c=a(98);r.CDSView=c.CDSView;var D=a(78);r.DataSource=D.DataSource;var v=a(305);r.GeoJSONDataSource=v.GeoJSONDataSource;var n=a(303);r.WebDataSource=n.WebDataSource},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(303);class s extends a.WebDataSource{constructor(e){super(e),this.initialized=!1}destroy(){super.destroy()}setup(){if(!this.initialized){this.initialized=!0,new EventSource(this.data_url).onmessage=e=>{this.load_data(JSON.parse(e.data),this.mode,this.max_size)}}}}i.ServerSentDataSource=s,s.__name__=\"ServerSentDataSource\"},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(1),s=e(76),i=r.__importStar(e(18));class n extends s.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:r}=this;let s;switch(s=null!=r?r.execute(this,{response:e}):e,t){case\"replace\":this.data=s;break;case\"append\":{const e=this.data;for(const t of this.columns()){const r=Array.from(e[t]),i=Array.from(s[t]);s[t]=r.concat(i).slice(-a)}this.data=s;break}}}static init_WebDataSource(){this.define({mode:[i.UpdateMode,\"replace\"],max_size:[i.Number],adapter:[i.Any,null],data_url:[i.String]})}}a.WebDataSource=n,n.__name__=\"WebDataSource\",n.init_WebDataSource()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(303),r=t(72),o=s.__importStar(t(18));class n extends a.WebDataSource{constructor(t){super(t),this.initialized=!1}static init_AjaxDataSource(){this.define({polling_interval:[o.Number],content_type:[o.String,\"application/json\"],http_headers:[o.Any,{}],method:[o.HTTPMethod,\"POST\"],if_modified:[o.Boolean,!1]})}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=0,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",()=>this.do_load(s,t,e)),s.addEventListener(\"error\",()=>this.do_error(s)),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const i in e){const s=e[i];t.setRequestHeader(i,s)}return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){r.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=n,n.__name__=\"AjaxDataSource\",n.init_AjaxDataSource()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1),n=e(77),s=e(72),a=r.__importStar(e(18)),i=e(9);function l(e){return null!=e?e:NaN}class c extends n.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define({geojson:[a.Any]}),this.internal({data:[a.Any,{}]})}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,()=>this._update_data())}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return i.range(0,e).map(e=>[])}_get_new_nan_array(e){return i.range(0,e).map(e=>NaN)}_add_properties(e,t,o,r){const n=e.properties||{};for(const e in n)t.hasOwnProperty(e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=l(n[e])}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=l(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"Polygon\":{e.coordinates.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPoint\":s.logger.warn(\"MultiPoint not supported in Bokeh\");break;case\"MultiLineString\":{const n=e.coordinates.reduce(r);for(let e=0;e<n.length;e++){const[r,s,a]=n[e];t.xs[o][e]=r,t.ys[o][e]=s,t.zs[o][e]=l(a)}break}case\"MultiPolygon\":{const n=[];for(const t of e.coordinates)t.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const a=n.reduce(r);for(let e=0;e<a.length;e++){const[r,n,s]=a[e];t.xs[o][e]=r,t.ys[o][e]=n,t.zs[o][e]=l(s)}break}default:throw new Error(\"Invalid GeoJSON geometry type: \"+e.type)}}geojson_to_column_data(){const e=JSON.parse(this.geojson);let t;switch(e.type){case\"GeometryCollection\":if(null==e.geometries)throw new Error(\"No geometries found in GeometryCollection\");if(0===e.geometries.length)throw new Error(\"geojson.geometries must have one or more items\");t=e.geometries;break;case\"FeatureCollection\":if(null==e.features)throw new Error(\"No features found in FeaturesCollection\");if(0==e.features.length)throw new Error(\"geojson.features must have one or more items\");t=e.features;break;default:throw new Error(\"Bokeh only supports type GeometryCollection and FeatureCollection at top level\")}let o=0;for(const e of t){const t=\"Feature\"===e.type?e.geometry:e;\"GeometryCollection\"==t.type?o+=t.geometries.length:o+=1}const r={x:this._get_new_nan_array(o),y:this._get_new_nan_array(o),z:this._get_new_nan_array(o),xs:this._get_new_list_array(o),ys:this._get_new_list_array(o),zs:this._get_new_list_array(o)};let n=0;for(const e of t){const t=\"Feature\"==e.type?e.geometry:e;if(\"GeometryCollection\"==t.type)for(const s of t.geometries)this._add_geometry(s,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1;else this._add_geometry(t,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1}return r}}o.GeoJSONDataSource=c,c.__name__=\"GeoJSONDataSource\",c.init_GeoJSONDataSource()},\n      function _(e,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});var c=e(110);i.AdaptiveTicker=c.AdaptiveTicker;var a=e(109);i.BasicTicker=a.BasicTicker;var k=e(153);i.CategoricalTicker=k.CategoricalTicker;var T=e(164);i.CompositeTicker=T.CompositeTicker;var t=e(111);i.ContinuousTicker=t.ContinuousTicker;var o=e(163);i.DatetimeTicker=o.DatetimeTicker;var v=e(165);i.DaysTicker=v.DaysTicker;var n=e(307);i.FixedTicker=n.FixedTicker;var s=e(172);i.LogTicker=s.LogTicker;var l=e(175);i.MercatorTicker=l.MercatorTicker;var u=e(168);i.MonthsTicker=u.MonthsTicker;var d=e(166);i.SingleIntervalTicker=d.SingleIntervalTicker;var g=e(112);i.Ticker=g.Ticker;var C=e(169);i.YearsTicker=C.YearsTicker},\n      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),n=i(111),s=r.__importStar(i(18));class _ extends n.ContinuousTicker{constructor(i){super(i),this.min_interval=0,this.max_interval=0}static init_FixedTicker(){this.define({ticks:[s.Array,[]],minor_ticks:[s.Array,[]]})}get_ticks_no_defaults(i,t,e,r){return{major:this.ticks,minor:this.minor_ticks}}get_interval(i,t,e){return 0}}e.FixedTicker=_,_.__name__=\"FixedTicker\",_.init_FixedTicker()},\n      function _(e,r,o){Object.defineProperty(o,\"__esModule\",{value:!0});var T=e(309);o.BBoxTileSource=T.BBoxTileSource;var c=e(310);o.MercatorTileSource=c.MercatorTileSource;var i=e(313);o.QUADKEYTileSource=i.QUADKEYTileSource;var l=e(314);o.TileRenderer=l.TileRenderer;var S=e(311);o.TileSource=S.TileSource;var u=e(318);o.TMSTileSource=u.TMSTileSource;var a=e(315);o.WMTSTileSource=a.WMTSTileSource},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1),i=e(310),l=o.__importStar(e(18));class _ extends i.MercatorTileSource{constructor(e){super(e)}static init_BBoxTileSource(){this.define({use_latlon:[l.Boolean,!1]})}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let i,l,_,n;return this.use_latlon?[l,n,i,_]=this.get_tile_geographic_bounds(e,t,r):[l,n,i,_]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",l.toString()).replace(\"{YMIN}\",n.toString()).replace(\"{XMAX}\",i.toString()).replace(\"{YMAX}\",_.toString())}}r.BBoxTileSource=_,_.__name__=\"BBoxTileSource\",_.init_BBoxTileSource()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const _=t(1),s=t(311),r=_.__importStar(t(18)),o=t(9),n=t(312);class l extends s.TileSource{constructor(t){super(t)}static init_MercatorTileSource(){this.define({snap_to_zoom:[r.Boolean,!1],wrap_around:[r.Boolean,!0]}),this.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})}initialize(){super.initialize(),this._resolutions=o.range(this.min_zoom,this.max_zoom+1).map(t=>this.get_resolution(t))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)<Math.abs(t-r)?e:t}));return this._resolutions.indexOf(o)}snap_to_zoom_level(t,e,i,_){const[s,r,o,n]=t,l=this._resolutions[_];let u=i*l,a=e*l;if(!this.snap_to_zoom){const t=(o-s)/u,e=(n-r)/a;t>e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);return i=0===i?i:i-1,[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<<i)-e]}meters_to_tile(t,e,i){const[_,s]=this.meters_to_pixels(t,e,i);return this.pixels_to_tile(_,s)}get_tile_meter_bounds(t,e,i){const[_,s]=this.pixels_to_meters(t*this.tile_size,e*this.tile_size,i),[r,o]=this.pixels_to_meters((t+1)*this.tile_size,(e+1)*this.tile_size,i);return[_,s,r,o]}get_tile_geographic_bounds(t,e,i){const _=this.get_tile_meter_bounds(t,e,i),[s,r,o,l]=n.meters_extent_to_geographic(_);return[s,r,o,l]}get_tiles_by_extent(t,e,i=1){const[_,s,r,o]=t;let[n,l]=this.meters_to_tile(_,s,e),[u,a]=this.meters_to_tile(r,o,e);n-=i,l-=i,u+=i,a+=i;const h=[];for(let t=a;t>=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<<s-1;switch(t.charAt(_-s)){case\"0\":continue;case\"1\":e|=r;break;case\"2\":i|=r;break;case\"3\":e|=r,i|=r;break;default:throw new TypeError(\"Invalid Quadkey: \"+t)}}return[e,i,_]}tile_xyz_to_quadkey(t,e,i){let _=\"\";for(let s=i;s>0;s--){const i=1<<s-1;let r=0;0!=(t&i)&&(r+=1),0!=(e&i)&&(r+=2),_+=r.toString()}return _}children_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=[];for(let t=0;t<=3;t++){const[e,i,r]=this.quadkey_to_tile_xyz(_+t.toString()),o=this.get_tile_meter_bounds(e,i,r);s.push([e,i,r,o])}return s}get_closest_parent_by_tile_xyz(t,e,i){const _=this.calculate_world_x_by_tile_xyz(t,e,i);[t,e,i]=this.normalize_xyz(t,e,i);let s=this.tile_xyz_to_quadkey(t,e,i);for(;s.length>0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),s=e(17),l=i.__importStar(e(18));class a extends n.Model{constructor(e){super(e)}static init_TileSource(){this.define({url:[l.String,\"\"],tile_size:[l.Number,256],max_zoom:[l.Number,30],min_zoom:[l.Number,0],extra_url_vars:[l.Any,{}],attribution:[l.String,\"\"],x_origin_offset:[l.Number],y_origin_offset:[l.Number],initial_resolution:[l.Number]})}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._clear_cache())}string_lookup_replace(e,t){let r=e;for(const[e,i]of s.entries(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map(e=>parseInt(e));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,s]=t,l=(n-r)/2+r,a=(s-i)/2+i;e.sort((function(e,t){return Math.sqrt((l-e[0])**2+(a-e[1])**2)-Math.sqrt((l-t[0])**2+(a-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=a,a.__name__=\"TileSource\",a.init_TileSource()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(32);function o(e,t){return n.wgs84_mercator.forward([e,t])}function c(e,t){return n.wgs84_mercator.inverse([e,t])}r.geographic_to_meters=o,r.meters_to_geographic=c,r.geographic_extent_to_meters=function(e){const[t,r,n,c]=e,[_,i]=o(t,r),[s,u]=o(n,c);return[_,i,s,u]},r.meters_extent_to_geographic=function(e){const[t,r,n,o]=e,[_,i]=c(t,r),[s,u]=c(n,o);return[_,i,s,u]}},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const _=e(310);class s extends _.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const _=this.string_lookup_replace(this.url,this.extra_url_vars),[s,o,u]=this.tms_to_wmts(e,t,r),c=this.tile_xyz_to_quadkey(s,o,u);return _.replace(\"{Q}\",c)}}r.QUADKEYTileSource=s,s.__name__=\"QUADKEYTileSource\"},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),_=e(315),a=e(82),n=e(131),r=e(68),h=s.__importStar(e(18)),l=e(224),o=e(9),d=e(8),m=e(80),c=e(76),u=e(316),p=s.__importDefault(e(317));class g extends a.DataRendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.tile_source.change,()=>this.request_render())}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&r.removeElement(this.attribution_el);const{attribution:e}=this.model.tile_source;if(d.isString(e)&&e.length>0){const{layout:t,frame:i}=this.plot_view,s=t._width.value-i._right.value,_=t._height.value-i._bottom.value,a=i._width.value;this.attribution_el=r.div({class:u.bk_tile_attribution,style:{position:\"absolute\",right:s+\"px\",bottom:_+\"px\",\"max-width\":a-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=e,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const e=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value),t=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value,e);this.x_range.start=t[0],this.y_range.start=t[1],this.x_range.end=t[2],this.y_range.end=t[3],this.x_range instanceof n.Range1d&&(this.x_range.reset_start=t[0],this.x_range.reset_end=t[2]),this.y_range instanceof n.Range1d&&(this.y_range.reset_start=t[1],this.y_range.reset_end=t[3]),this._update_attribution()}_create_tile(e,t,i,s,_=!1){const[a,n,r]=this.model.tile_source.normalize_xyz(e,t,i),h={img:void 0,tile_coords:[e,t,i],normalized_coords:[a,n,r],quadkey:this.model.tile_source.tile_xyz_to_quadkey(e,t,i),cache_key:this.model.tile_source.tile_xyz_to_key(e,t,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},o=this.model.tile_source.get_image_url(a,n,r);new l.ImageLoader(o,{loaded:e=>{Object.assign(h,{img:e,loaded:!0}),_?(h.finished=!0,this.notify_finished()):this.request_render()},failed(){h.finished=!0}}),this.model.tile_source.tiles.set(h.cache_key,h),this._tiles.push(h)}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame._height.value||this._last_width!==this.map_frame._width.value){const e=this.get_extent(),t=this.model.tile_source.get_level_by_extent(e,this.map_frame._height.value,this.map_frame._width.value),i=this.model.tile_source.snap_to_zoom_level(e,this.map_frame._height.value,this.map_frame._width.value,t);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame._height.value,this._last_width=this.map_frame._width.value}}has_finished(){if(!super.has_finished())return!1;if(0===this._tiles.length)return!1;for(const e of this._tiles)if(!e.finished)return!1;return!0}render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(e){const t=this.model.tile_source.tiles.get(e);if(null!=t&&t.loaded){const[[e],[i]]=this.plot_view.map_to_screen([t.bounds[0]],[t.bounds[3]]),[[s],[_]]=this.plot_view.map_to_screen([t.bounds[2]],[t.bounds[1]]),a=s-e,n=_-i,r=e,h=i,l=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(t.img,r,h,a,n),this.map_canvas.setImageSmoothingEnabled(l),t.finished=!0}}_set_rect(){const e=this.plot_model.properties.outline_line_width.value(),t=this.map_frame._left.value+e/2,i=this.map_frame._top.value+e/2,s=this.map_frame._width.value-e,_=this.map_frame._height.value-e;this.map_canvas.rect(t,i,s,_),this.map_canvas.clip()}_render_tiles(e){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const t of e)this._draw_tile(t);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:e}=this.model,t=this.get_extent(),i=this.map_frame._height.value,s=this.map_frame._width.value,_=this.model.tile_source.get_level_by_extent(t,i,s),a=this.model.tile_source.get_tiles_by_extent(t,_);for(let t=0,i=Math.min(10,a.length);t<i;t++){const[i,s,_]=a[t],n=this.model.tile_source.children_by_tile_xyz(i,s,_);for(const t of n){const[i,s,_,a]=t;e.tiles.has(e.tile_xyz_to_key(i,s,_))||this._create_tile(i,s,_,a,!0)}}}_fetch_tiles(e){for(const t of e){const[e,i,s,_]=t;this._create_tile(e,i,s,_)}}_update(){const{tile_source:e}=this.model,{min_zoom:t}=e,{max_zoom:i}=e;let s=this.get_extent();const _=this.extent[2]-this.extent[0]<s[2]-s[0],a=this.map_frame._height.value,n=this.map_frame._width.value;let r=e.get_level_by_extent(s,a,n),h=!1;r<t?(s=this.extent,r=t,h=!0):r>i&&(s=this.extent,r=i,h=!0),h&&(this.x_range.setv({x_range:{start:s[0],end:s[2]}}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const l=e.get_tiles_by_extent(s,r),d=[],m=[],c=[],u=[];for(const t of l){const[i,s,a]=t,n=e.tile_xyz_to_key(i,s,a),r=e.tiles.get(n);if(null!=r&&r.loaded)m.push(n);else if(this.model.render_parents){const[t,n,r]=e.get_closest_parent_by_tile_xyz(i,s,a),h=e.tile_xyz_to_key(t,n,r),l=e.tiles.get(h);if(null!=l&&l.loaded&&!o.includes(c,h)&&c.push(h),_){const t=e.children_by_tile_xyz(i,s,a);for(const[i,s,_]of t){const t=e.tile_xyz_to_key(i,s,_);e.tiles.has(t)&&u.push(t)}}}null==r&&d.push(t)}this._render_tiles(c),this._render_tiles(u),this._render_tiles(m),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout(()=>this._fetch_tiles(d),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class f extends a.DataRenderer{constructor(e){super(e),this._selection_manager=new m.SelectionManager({source:new c.ColumnDataSource})}static init_TileRenderer(){this.prototype.default_view=g,this.define({alpha:[h.Number,1],smoothing:[h.Boolean,!0],tile_source:[h.Instance,()=>new _.WMTSTileSource],render_parents:[h.Boolean,!0]})}get_selection_manager(){return this._selection_manager}}i.TileRenderer=f,f.__name__=\"TileRenderer\",f.init_TileRenderer()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(310);class s extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,_]=this.tms_to_wmts(e,t,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",_.toString())}}r.WMTSTileSource=s,s.__name__=\"WMTSTileSource\"},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.bk_tile_attribution=\"bk-tile-attribution\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default=\"\\n.bk-root .bk-tile-attribution a {\\n  color: black;\\n}\\n\"},\n      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(310);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=c,c.__name__=\"TMSTileSource\"},\n      function _(e,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});var t=e(320);a.CanvasTexture=t.CanvasTexture;var u=e(322);a.ImageURLTexture=u.ImageURLTexture;var v=e(321);a.Texture=v.Texture},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),c=t(321),s=r.__importStar(t(18)),i=t(24);class a extends c.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define({code:[s.String]})}get func(){const t=i.use_strict(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){return r=>{const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),r.createPattern(c,this.repetition)}}}n.CanvasTexture=a,a.__name__=\"CanvasTexture\",a.init_CanvasTexture()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(71),o=r.__importStar(e(18));class _ extends n.Model{constructor(e){super(e)}static init_Texture(){this.define({repetition:[o.TextureRepetition,\"repeat\"]})}onload(e){e()}}i.Texture=_,_.__name__=\"Texture\",_.init_Texture()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),a=e(321),n=r.__importStar(e(18)),s=e(224);class o extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define({url:[n.String]})}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){return e=>this._loader.finished?e.createPattern(this._loader.image,this.repetition):null}onload(e){this._loader.promise.then(()=>e())}}i.ImageURLTexture=o,o.__name__=\"ImageURLTexture\",o.init_ImageURLTexture()},\n      function _(o,l,T){Object.defineProperty(T,\"__esModule\",{value:!0});var a=o(285);T.ActionTool=a.ActionTool;var r=o(324);T.CustomAction=r.CustomAction;var e=o(286);T.HelpTool=e.HelpTool;var v=o(325);T.RedoTool=v.RedoTool;var t=o(326);T.ResetTool=t.ResetTool;var n=o(327);T.SaveTool=n.SaveTool;var s=o(328);T.UndoTool=s.UndoTool;var i=o(329);T.ZoomInTool=i.ZoomInTool;var P=o(331);T.ZoomOutTool=P.ZoomOutTool;var c=o(275);T.ButtonTool=c.ButtonTool;var d=o(332);T.EditTool=d.EditTool;var u=o(333);T.BoxEditTool=u.BoxEditTool;var y=o(334);T.FreehandDrawTool=y.FreehandDrawTool;var m=o(335);T.PointDrawTool=m.PointDrawTool;var x=o(336);T.PolyDrawTool=x.PolyDrawTool;var B=o(337);T.PolyTool=B.PolyTool;var S=o(338);T.PolyEditTool=S.PolyEditTool;var b=o(339);T.BoxSelectTool=b.BoxSelectTool;var h=o(342);T.BoxZoomTool=h.BoxZoomTool;var E=o(284);T.GestureTool=E.GestureTool;var Z=o(343);T.LassoSelectTool=Z.LassoSelectTool;var p=o(344);T.LineEditTool=p.LineEditTool;var w=o(346);T.PanTool=w.PanTool;var C=o(347);T.PolySelectTool=C.PolySelectTool;var D=o(348);T.RangeTool=D.RangeTool;var H=o(340);T.SelectTool=H.SelectTool;var R=o(349);T.TapTool=R.TapTool;var A=o(350);T.WheelPanTool=A.WheelPanTool;var I=o(351);T.WheelZoomTool=I.WheelZoomTool;var L=o(352);T.CrosshairTool=L.CrosshairTool;var W=o(353);T.CustomJSHover=W.CustomJSHover;var O=o(354);T.HoverTool=O.HoverTool;var _=o(274);T.InspectTool=_.InspectTool;var f=o(277);T.Tool=f.Tool;var g=o(355);T.ToolProxy=g.ToolProxy;var F=o(273);T.Toolbar=F.Toolbar;var G=o(283);T.ToolbarBase=G.ToolbarBase;var J=o(357);T.ProxyToolbar=J.ProxyToolbar;var U=o(357);T.ToolbarBox=U.ToolbarBox},\n      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(285),e=n.__importStar(t(18)),c=t(278);class _ extends s.ActionToolButtonView{css_classes(){return super.css_classes().concat(c.bk_toolbar_button_custom_action)}}i.CustomActionButtonView=_,_.__name__=\"CustomActionButtonView\";class l extends s.ActionToolView{doit(){null!=this.model.callback&&this.model.callback.execute(this.model)}}i.CustomActionView=l,l.__name__=\"CustomActionView\";class u extends s.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=_}static init_CustomAction(){this.prototype.default_view=l,this.define({action_tooltip:[e.String,\"Perform a Custom Action\"],callback:[e.Any],icon:[e.String]})}get tooltip(){return this.action_tooltip}}i.CustomAction=u,u.__name__=\"CustomAction\",u.init_CustomAction()},\n      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(285),s=o(287);class n extends i.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_redo())}doit(){this.plot_view.redo()}}t.RedoToolView=n,n.__name__=\"RedoToolView\";class _ extends i.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=s.bk_tool_icon_redo}static init_RedoTool(){this.prototype.default_view=n,this.override({disabled:!0}),this.register_alias(\"redo\",()=>new _)}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(285),i=e(287);class _ extends s.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=_,_.__name__=\"ResetToolView\";class l extends s.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=i.bk_tool_icon_reset}static init_ResetTool(){this.prototype.default_view=_,this.register_alias(\"reset\",()=>new l)}}o.ResetTool=l,l.__name__=\"ResetTool\",l.init_ResetTool()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(285),s=e(287);class _ extends i.ActionToolView{doit(){this.plot_view.save(\"bokeh_plot\")}}t.SaveToolView=_,_.__name__=\"SaveToolView\";class a extends i.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=s.bk_tool_icon_save}static init_SaveTool(){this.prototype.default_view=_,this.register_alias(\"save\",()=>new a)}}t.SaveTool=a,a.__name__=\"SaveTool\",a.init_SaveTool()},\n      function _(o,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=o(285),i=o(287);class s extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_undo())}doit(){this.plot_view.undo()}}e.UndoToolView=s,s.__name__=\"UndoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=i.bk_tool_icon_undo}static init_UndoTool(){this.prototype.default_view=s,this.override({disabled:!0}),this.register_alias(\"undo\",()=>new _)}}e.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),n=o(285),s=o(330),_=e.__importStar(o(18)),m=o(287);class l extends n.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,n=s.scale_range(o,this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:n}),this.plot_view.update_range(n,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomInToolView=l,l.__name__=\"ZoomInToolView\";class h extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom In\",this.icon=m.bk_tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_in\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_in\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_in\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomInTool=h,h.__name__=\"ZoomInTool\",h.init_ZoomInTool()},\n      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=n(10);function r(n,t,e){const[o,r]=[n.start,n.end],c=null!=e?e:(r+o)/2;return[o-(o-c)*t,r-(r-c)*t]}function c(n,[t,e]){const o={};for(const r in n){const c=n[r],[s,l]=c.r_invert(t,e);o[r]={start:s,end:l}}return o}e.scale_highlow=r,e.get_info=c,e.scale_range=function(n,t,e=!0,s=!0,l){t=o.clamp(t,-.9,.9);const a=e?t:0,[u,i]=r(n.bbox.h_range,a,null!=l?l.x:void 0),_=c(n.xscales,[u,i]),f=s?t:0,[d,b]=r(n.bbox.v_range,f,null!=l?l.y:void 0);return{xrs:_,yrs:c(n.yscales,[d,b]),factor:t}}},\n      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),s=o(285),n=o(330),_=e.__importStar(o(18)),m=o(287);class l extends s.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,s=n.scale_range(o,-this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:s}),this.plot_view.update_range(s,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomOutToolView=l,l.__name__=\"ZoomOutToolView\";class h extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom Out\",this.icon=m.bk_tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_out\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_out\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_out\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomOutTool=h,h.__name__=\"ZoomOutTool\",h.init_ZoomOutTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),n=e(9),i=e(8),r=e(11),_=e(284);class c extends _.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void r.unreachable():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){const o=this.plot_view.frame;return o.bbox.contains(e,t)?[o.xscales[s.x_range_name].invert(e),o.yscales[s.y_range_name].invert(t)]:null}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;e<s.length;e++){const t=s[e];o.splice(t-e,1)}}this._emit_cds_changes(t)}_pop_glyphs(e,t){const s=e.columns();if(t&&s.length)for(const o of s){let s=e.get_array(o);const n=s.length-t+1;n<1||(i.isArray(s)||(s=Array.from(s),e.data[o]=s),s.splice(0,n))}}_emit_cds_changes(e,t=!0,s=!0,o=!0){s&&e.selection_manager.clear(),t&&e.change.emit(),o&&(e.data=e.data,e.properties.data.change.emit())}_drag_points(e,t,s=\"both\"){if(null==this._basepoint)return;const[o,n]=this._basepoint;for(const i of t){const t=this._map_drag(o,n,i),r=this._map_drag(e.sx,e.sy,i);if(null==r||null==t)continue;const[_,c]=r,[a,l]=t,[d,u]=[_-a,c-l],m=i.glyph,h=i.data_source,[p,f]=[m.x.field,m.y.field];for(const e of h.selected.indices)!p||\"width\"!=s&&\"both\"!=s||(h.data[p][e]+=d),!f||\"height\"!=s&&\"both\"!=s||(h.data[f][e]+=u);h.change.emit()}this._basepoint=[e.sx,e.sy]}_pad_empty_columns(e,t){for(const s of e.columns())n.includes(t,s)||e.get_array(s).push(this.model.empty_value)}_select_event(e,t,s){const o=this.plot_view.frame,{sx:n,sy:i}=e;if(!o.bbox.contains(n,i))return[];const r={type:\"point\",sx:n,sy:i},_=[];for(const e of s){const s=e.get_selection_manager(),o=e.data_source,n=[this.plot_view.renderer_views.get(e)];s.select(n,r,!0,t)&&_.push(e),o.properties.selected.change.emit()}return _}}s.EditToolView=c,c.__name__=\"EditToolView\";class a extends _.GestureTool{constructor(e){super(e)}static init_EditTool(){this.define({custom_icon:[o.String],custom_tooltip:[o.String],empty_value:[o.Any],renderers:[o.Array,[]]})}get tooltip(){return this.custom_tooltip||this.tool_name}get computed_icon(){return this.custom_icon||this.icon}}s.EditTool=a,a.__name__=\"EditTool\",a.init_EditTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(68),o=i.__importStar(e(18)),n=e(332),a=e(287);class d extends n.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===_.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==_.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.frame,d=n.glyph,l=n.data_source,r=a.xscales[n.x_range_name],h=a.yscales[n.y_range_name],[p,u]=r.r_invert(e,t),[c,m]=h.r_invert(s,i),[f,b]=[(p+u)/2,(c+m)/2],[x,y]=[u-p,m-c],[w,g]=[d.x.field,d.y.field],[v,E]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),w&&l.get_array(w).push(f),g&&l.get_array(g).push(b),v&&l.get_array(v).push(x),E&&l.get_array(E).push(y),this._pad_empty_columns(l,[w,g,v,E]);else{const e=l.data[w].length-1;w&&(l.data[w][e]=f),g&&(l.data[g][e]=b),v&&(l.data[v][e]=x),E&&(l.data[E][e]=y)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=d,d.__name__=\"BoxEditToolView\";class l extends n.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=a.bk_tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}static init_BoxEditTool(){this.prototype.default_view=d,this.define({dimensions:[o.Dimensions,\"both\"],num_objects:[o.Int,0]})}}s.BoxEditTool=l,l.__name__=\"BoxEditTool\",l.init_BoxEditTool()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),r=e(68),_=s.__importStar(e(18)),o=e(8),i=e(332),d=e(287);class n extends i.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,i]=r,d=s.data_source,n=s.glyph,[l,h]=[n.xs.field,n.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),l&&d.get_array(l).push([_]),h&&d.get_array(h).push([i]),this._pad_empty_columns(d,[l,h]);else if(\"add\"==t){if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];o.isArray(t)||(t=Array.from(t),d.data[l][e]=t),t.push(_)}if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];o.isArray(t)||(t=Array.from(t),d.data[h][e]=t),t.push(i)}}this._emit_cds_changes(d,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===r.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=n,n.__name__=\"FreehandDrawToolView\";class l extends i.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=d.bk_tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}static init_FreehandDrawTool(){this.prototype.default_view=n,this.define({num_objects:[_.Int,0]})}}a.FreehandDrawTool=l,l.__name__=\"FreehandDrawTool\",l.init_FreehandDrawTool()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(68),a=s.__importStar(e(18)),n=e(332),_=e(287);class r extends n.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],o=this._map_drag(e.sx,e.sy,t);if(null==o)return;const s=t.glyph,i=t.data_source,[a,n]=[s.x.field,s.y.field],[_,r]=o;this._pop_glyphs(i,this.model.num_objects),a&&i.get_array(a).push(_),n&&i.get_array(n).push(r),this._pad_empty_columns(i,[a,n]),i.change.emit(),i.data=i.data,i.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===i.Keys.Backspace?this._delete_selected(t):e.keyCode==i.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}o.PointDrawToolView=r,r.__name__=\"PointDrawToolView\";class d extends n.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=_.bk_tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}static init_PointDrawTool(){this.prototype.default_view=r,this.define({add:[a.Boolean,!0],drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}o.PointDrawTool=d,d.__name__=\"PointDrawTool\",d.init_PointDrawTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(68),a=i.__importStar(e(18)),o=e(8),n=e(337),_=e(287);class d extends n.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==r)return;const[a,n]=this._snap_to_vertex(e,...r),_=i.data_source,d=i.glyph,[l,h]=[d.xs.field,d.ys.field];if(\"new\"==t)this._pop_glyphs(_,this.model.num_objects),l&&_.get_array(l).push([a,a]),h&&_.get_array(h).push([n,n]),this._pad_empty_columns(_,[l,h]);else if(\"edit\"==t){if(l){const e=_.data[l][_.data[l].length-1];e[e.length-1]=a}if(h){const e=_.data[h][_.data[h].length-1];e[e.length-1]=n}}else if(\"add\"==t){if(l){const e=_.data[l].length-1;let t=_.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=a,o.isArray(t)||(t=Array.from(t),_.data[l][e]=t),t.push(s)}if(h){const e=_.data[h].length-1;let t=_.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=n,o.isArray(t)||(t=Array.from(t),_.data[h][e]=t),t.push(s)}}this._emit_cds_changes(_,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;s<this.model.renderers.length;s++){const i=this.model.renderers[s],r=i.data_source,a=i.glyph,[o,n]=[a.xs.field,a.ys.field];if(o)for(const t of r.get_array(o))Array.prototype.push.apply(e,t);if(n)for(const e of r.get_array(n))Array.prototype.push.apply(t,e);this._drawing&&s==this.model.renderers.length-1&&(e.splice(e.length-1,1),t.splice(t.length-1,1))}this._set_vertices(e,t)}_doubletap(e){this.model.active&&(this._drawing?(this._drawing=!1,this._draw(e,\"edit\",!0)):(this._drawing=!0,this._draw(e,\"new\",!0)))}_move(e){this._drawing&&this._draw(e,\"edit\")}_remove(){const e=this.model.renderers[0],t=e.data_source,s=e.glyph,[i,r]=[s.xs.field,s.ys.field];if(i){const e=t.data[i].length-1,s=t.get_array(i)[e];s.splice(s.length-1,1)}if(r){const e=t.data[r].length-1,s=t.get_array(r)[e];s.splice(s.length-1,1)}this._emit_cds_changes(t)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Backspace?this._delete_selected(t):e.keyCode==r.Keys.Esc&&(this._drawing&&(this._remove(),this._drawing=!1),t.data_source.selection_manager.clear())}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){if(null==this._basepoint||!this.model.drag)return;const[t,s]=this._basepoint;for(const i of this.model.renderers){const r=this._map_drag(t,s,i),a=this._map_drag(e.sx,e.sy,i);if(null==a||null==r)continue;const o=i.data_source,n=i.glyph,[_,d]=[n.xs.field,n.ys.field];if(!_&&!d)continue;const[l,h]=a,[c,g]=r,[p,f]=[l-c,h-g];for(const e of o.selected.indices){let t,s,i;_&&(s=o.data[_][e]),d?(i=o.data[d][e],t=i.length):t=s.length;for(let e=0;e<t;e++)s&&(s[e]+=p),i&&(i[e]+=f)}o.change.emit()}this._basepoint=[e.sx,e.sy]}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source);this._basepoint=null}}activate(){if(this.model.vertex_renderer&&this.model.active){if(this._show_vertices(),!this._initialized)for(const e of this.model.renderers){const t=e.data_source;t.connect(t.properties.data.change,()=>this._show_vertices())}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=d,d.__name__=\"PolyDrawToolView\";class l extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.bk_tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}static init_PolyDrawTool(){this.prototype.default_view=d,this.define({drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),i=e(8),s=e(332);class _ extends s.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,_]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),_&&(i.isArray(t)?o.data[_]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,\"replace\",[this.model.vertex_renderer]),i=this.model.vertex_renderer.data_source,s=this.model.vertex_renderer.glyph,[_,l]=[s.x.field,s.y.field];if(o.length){const e=i.selected.indices[0];_&&(t=i.data[_][e]),l&&(r=i.data[l][e]),i.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class l extends s.EditTool{constructor(e){super(e)}static init_PolyTool(){this.prototype.default_view=_,this.define({vertex_renderer:[o.Instance]})}}r.PolyTool=l,l.__name__=\"PolyTool\",l.init_PolyTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(68),i=e(8),_=e(337),d=e(287);class n extends _.PolyToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this._select_event(e,\"replace\",this.model.renderers);if(!t.length)return this._set_vertices([],[]),this._selected_renderer=null,void(this._drawing=!1);const s=t[0],r=s.glyph,_=s.data_source,d=_.selected.indices[0],[n,l]=[r.xs.field,r.ys.field];let a,c;n?(a=_.data[n][d],i.isArray(a)||(_.data[n][d]=a=Array.from(a))):a=r.xs.value,l?(c=_.data[l][d],i.isArray(c)||(_.data[l][d]=c=Array.from(c))):c=r.ys.value,this._selected_renderer=s,this._set_vertices(a,c)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===r.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==r.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=n,n.__name__=\"PolyEditToolView\";class l extends _.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=d.bk_tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=n}}s.PolyEditTool=l,l.__name__=\"PolyEditTool\",l.init_PolyEditTool()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(340),l=e(107),_=s.__importStar(e(18)),n=e(287);class c extends i.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.push_state(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const _={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(_,i,l)}}o.BoxSelectToolView=c,c.__name__=\"BoxSelectToolView\";const r=()=>new l.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=n.bk_tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=c,this.define({dimensions:[_.Dimensions,\"both\"],select_every_mousemove:[_.Boolean,!1],overlay:[_.Instance,r],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_select\",()=>new h),this.register_alias(\"xbox_select\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_select\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}o.BoxSelectTool=h,h.__name__=\"BoxSelectTool\",h.init_BoxSelectTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),r=e(81),c=e(100),i=e(341),l=n.__importStar(e(18)),a=e(68),d=e(291),_=e(14),h=e(11);class u extends o.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect(()=>this._clear())}get computed_renderers(){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;return i.compute_renderers(e,t,s)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof r.GlyphRenderer)n=s.data_source;else{if(!(s instanceof c.GraphRenderer))continue;n=s.node_renderer.data_source}const o=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...o,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void h.unreachable():this.model.mode}_keyup(e){e.keyCode==a.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();this.plot_view.request_render()}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,o]of n){const n=o[0].get_selection_manager(),r=[];for(const e of o){const t=this.plot_view.renderer_views.get(e);null!=t&&r.push(t)}n.select(r,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{frame:s}=this.plot_view,n=s.xscales.default,o=s.yscales.default;let r;switch(e.type){case\"point\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:s,sy0:c,sy1:i}=e,[l,a]=n.r_invert(t,s),[d,_]=o.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:l,y0:d,x1:a,y1:_});break}case\"poly\":{const{sx:t,sy:s}=e,c=n.v_invert(t),i=o.v_invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new d.SelectionGeometry(r,t))}}s.SelectToolView=u,u.__name__=\"SelectToolView\";class p extends o.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new _.Signal0(this,\"clear\")}static init_SelectTool(){this.define({renderers:[l.Any,\"auto\"],names:[l.Array,[]],mode:[l.Any,\"replace\"]})}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=p,p.__name__=\"SelectTool\",p.init_SelectTool()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(9);t.compute_renderers=function(e,n,t){if(null==e)return[];let u=\"auto\"==e?n:e;return t.length>0&&(u=u.filter(e=>r.includes(t,e.name))),u}},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),i=t(284),n=t(107),_=s.__importStar(t(18)),a=t(287);class l extends i.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m<n&&(m=n)),l=Math.abs(p-m),t[1]<=o[1]?(b=t[1],d=t[1]+l/s,d>_&&(d=_)):(d=t[1],b=t[1]-l/s,b<a&&(b=a)),r=Math.abs(d-b),t[0]<=o[0]?p=t[0]+s*r:m=t[0]-s*r,[[m,p],[b,d]]}_compute_limits(t){const o=this.plot_view.frame,e=this.model.dimensions;let s,i,n=this._base_point;if(\"center\"==this.model.origin){const[o,e]=n,[s,i]=t;n=[o-(s-o),e-(i-e)]}return this.model.match_aspect&&\"both\"==e?[s,i]=this._match_aspect(n,t,o):[s,i]=this.model._get_dim_limits(n,t,o,e),[s,i]}_pan_start(t){this._base_point=[t.sx,t.sy]}_pan(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this.model.overlay.update({left:e[0],right:e[1],top:s[0],bottom:s[1]})}_pan_end(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this._update(e,s),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null}_update([t,o],[e,s]){if(Math.abs(o-t)<=5||Math.abs(s-e)<=5)return;const{xscales:i,yscales:n}=this.plot_view.frame,_={};for(const e in i){const s=i[e],[n,a]=s.r_invert(t,o);_[e]={start:n,end:a}}const a={};for(const t in n){const o=n[t],[i,_]=o.r_invert(e,s);a[t]={start:i,end:_}}const l={xrs:_,yrs:a};this.plot_view.push_state(\"box_zoom\",{range:l}),this.plot_view.update_range(l)}}e.BoxZoomToolView=l,l.__name__=\"BoxZoomToolView\";const r=()=>new n.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=a.bk_tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=l,this.define({dimensions:[_.Dimensions,\"both\"],overlay:[_.Instance,r],match_aspect:[_.Boolean,!1],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_zoom\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xbox_zoom\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_zoom\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}e.BoxZoomTool=h,h.__name__=\"BoxZoomTool\",h.init_BoxZoomTool()},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(340),i=e(139),a=e(68),_=o.__importStar(e(18)),c=e(287);class n extends l.SelectToolView{initialize(){super.initialize(),this.data=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_overlay()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_overlay()}_pan_start(e){const{sx:s,sy:t}=e;this.data={sx:[s],sy:[t]}}_pan(e){const{sx:s,sy:t}=e,[o,l]=this.plot_view.frame.bbox.clip(s,t);this.data.sx.push(o),this.data.sy.push(l),this.model.overlay.update({xs:this.data.sx,ys:this.data.sy}),this.model.select_every_mousemove&&this._do_select(this.data.sx,this.data.sy,!1,this._select_mode(e))}_pan_end(e){this._clear_overlay(),this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"lasso_select\",{selection:this.plot_view.get_selection()})}_clear_overlay(){this.model.overlay.update({xs:[],ys:[]})}_do_select(e,s,t,o){const l={type:\"poly\",sx:e,sy:s};this._select(l,t,o)}}t.LassoSelectToolView=n,n.__name__=\"LassoSelectToolView\";const h=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class r extends l.SelectTool{constructor(e){super(e),this.tool_name=\"Lasso Select\",this.icon=c.bk_tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=n,this.define({select_every_mousemove:[_.Boolean,!0],overlay:[_.Instance,h]}),this.register_alias(\"lasso_select\",()=>new r)}}t.LassoSelectTool=r,r.__name__=\"LassoSelectTool\",r.init_LassoSelectTool()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(345),r=s.__importStar(e(18)),_=e(287);class d extends n.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const i of t){1==this._select_event(e,\"replace\",[i]).length&&(this._selected_renderer=i)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[i,s]=[t.x.field,t.y.field],n=e.get_array(i),r=e.get_array(s);this._set_intersection(n,r)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const i=this._select_mode(e);if(0==this._select_event(e,i,[t]).length)return}const i=this._select_mode(e);this._select_event(e,i,[t]),this._select_event(e,i,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[i,s]=[e.x.field,e.y.field];if(i&&s){const e=t.data[i],n=t.data[s];this._selected_renderer.data_source.data[i]=e,this._selected_renderer.data_source.data[s]=n}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}i.LineEditToolView=d,d.__name__=\"LineEditToolView\";class o extends n.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=_.bk_tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_LineEditTool(){this.prototype.default_view=d,this.define({dimensions:[r.Dimensions,\"both\"]})}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.LineEditTool=o,o.__name__=\"LineEditTool\",o.init_LineEditTool()},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1).__importStar(e(18)),o=e(8),s=e(332);class _ extends s.EditToolView{_set_intersection(e,i){const t=this.model.intersection_renderer.glyph,n=this.model.intersection_renderer.data_source,[s,_]=[t.x.field,t.y.field];s&&(o.isArray(e)?n.data[s]=e:t.x={value:e}),_&&(o.isArray(i)?n.data[_]=i:t.y={value:i}),this._emit_cds_changes(n,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}t.LineToolView=_,_.__name__=\"LineToolView\";class r extends s.EditTool{constructor(e){super(e)}static init_LineTool(){this.prototype.default_view=_,this.define({intersection_renderer:[n.Instance]})}}t.LineTool=r,r.__name__=\"LineTool\",r.init_LineTool()},\n      function _(t,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),e=t(284),o=i.__importStar(t(18)),a=t(287);class _ extends e.GestureToolView{_pan_start(t){this.last_dx=0,this.last_dy=0;const{sx:s,sy:n}=t,i=this.plot_view.frame.bbox;if(!i.contains(s,n)){const t=i.h_range,e=i.v_range;(s<t.start||s>t.end)&&(this.v_axis_only=!0),(n<e.start||n>e.end)&&(this.h_axis_only=!0)}null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan(t){this._update(t.deltaX,t.deltaY),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.push_state(\"pan\",{range:this.pan_info})}_update(t,s){const n=this.plot_view.frame,i=t-this.last_dx,e=s-this.last_dy,o=n.bbox.h_range,a=o.start-i,_=o.end-i,h=n.bbox.v_range,l=h.start-e,r=h.end-e,d=this.model.dimensions;let c,p,m,u,x,y;\"width\"!=d&&\"both\"!=d||this.v_axis_only?(c=o.start,p=o.end,m=0):(c=a,p=_,m=-i),\"height\"!=d&&\"both\"!=d||this.h_axis_only?(u=h.start,x=h.end,y=0):(u=l,x=r,y=-e),this.last_dx=t,this.last_dy=s;const{xscales:v,yscales:b}=n,g={};for(const t in v){const s=v[t],[n,i]=s.r_invert(c,p);g[t]={start:n,end:i}}const w={};for(const t in b){const s=b[t],[n,i]=s.r_invert(u,x);w[t]={start:n,end:i}}this.pan_info={xrs:g,yrs:w,sdx:m,sdy:y},this.plot_view.update_range(this.pan_info,!0)}}n.PanToolView=_,_.__name__=\"PanToolView\";class h extends e.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=_,this.define({dimensions:[o.Dimensions,\"both\"]}),this.register_alias(\"pan\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xpan\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ypan\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(\"Pan\",this.dimensions)}get icon(){switch(this.dimensions){case\"both\":return a.bk_tool_icon_pan;case\"width\":return a.bk_tool_icon_xpan;case\"height\":return a.bk_tool_icon_ypan}}}n.PanTool=h,h.__name__=\"PanTool\",h.init_PanTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const l=e(1),o=e(340),i=e(139),a=e(68),_=l.__importStar(e(18)),c=e(9),n=e(287);class h extends o.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:c.copy(this.data.sx),ys:c.copy(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=h,h.__name__=\"PolySelectToolView\";const y=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.bk_tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define({overlay:[_.Instance,y]}),this.register_alias(\"poly_select\",()=>new d)}}s.PolySelectTool=d,d.__name__=\"PolySelectTool\",d.init_PolySelectTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(107),l=e(72),a=i.__importStar(e(18)),r=e(284),o=e(287);function _(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function h(e,t,s,i){if(null==t)return!1;const n=s.compute(t);return Math.abs(e-n)<i}function d(e,t,s,i,n){let l=!0;if(null!=n.left&&null!=n.right){const t=s.invert(e);(t<n.left||t>n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=i.invert(t);(e<n.bottom||e>n.top)&&(l=!1)}return l}function u(e,t,s){let i=0;return e>=s.start&&e<=s.end&&(i+=1),t>=s.start&&t<=s.end&&(i+=1),i}function c(e,t,s,i){const n=t.compute(e),l=t.invert(n+s);return l>=i.start&&l<=i.end?l:e}function g(e,t,s){return e>t.start?(t.end=e,s):(t.end=t.start,t.start=e,_(s))}function y(e,t,s){return e<t.end?(t.start=e,s):(t.start=t.end,t.end=e,_(s))}function f(e,t,s,i){const[n,l]=t.r_compute(e.start,e.end),[a,r]=t.r_invert(n+s,l+s),o=u(e.start,e.end,i);u(a,r,i)>=o&&(e.start=a,e.end=r)}s.flip_side=_,s.is_near=h,s.is_inside=d,s.sides_inside=u,s.compute_value=c,s.update_range_end_side=g,s.update_range_start_side=y,s.update_range=f;class p extends r.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,()=>this.model.update_overlay_from_ranges()),null!=this.model.y_range&&this.connect(this.model.y_range.change,()=>this.model.update_overlay_from_ranges())}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,s=this.model.y_range,i=this.plot_view.frame,l=i.xscales.default,a=i.yscales.default,r=this.model.overlay,{left:o,right:_,top:u,bottom:c}=r,g=this.model.overlay.properties.line_width.value()+n.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(h(e.sx,o,l,g)?this.side=1:h(e.sx,_,l,g)?this.side=2:d(e.sx,e.sy,l,a,r)&&(this.side=3)),null!=s&&this.model.y_interaction&&(0==this.side&&h(e.sy,c,a,g)&&(this.side=4),0==this.side&&h(e.sy,u,a,g)?this.side=5:d(e.sx,e.sy,l,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,s=e.deltaX-this.last_dx,i=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.xscales.default,r=t.yscales.default;if(null!=n)if(3==this.side||7==this.side)f(n,a,s,t.x_range);else if(1==this.side){const e=c(n.start,a,s,t.x_range);this.side=y(e,n,this.side)}else if(2==this.side){const e=c(n.end,a,s,t.x_range);this.side=g(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)f(l,r,i,t.y_range);else if(4==this.side){const e=c(l.start,r,i,t.y_range);this.side=y(e,l,this.side)}else if(5==this.side){const e=c(l.end,r,i,t.y_range);this.side=g(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0}}s.RangeToolView=p,p.__name__=\"RangeToolView\";const m=()=>new n.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class v extends r.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=o.bk_tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=p,this.define({x_range:[a.Instance,null],x_interaction:[a.Boolean,!0],y_range:[a.Instance,null],y_interaction:[a.Boolean,!0],overlay:[a.Instance,m]})}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,l.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}s.RangeTool=v,v.__name__=\"RangeTool\",v.init_RangeTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),o=e(340),a=i.__importStar(e(18)),n=e(287);class _ extends o.SelectToolView{_tap(e){const{sx:t,sy:s}=e,i={type:\"point\",sx:t,sy:s};this._select(i,!0,this._select_mode(e))}_select(e,t,s){const i=this.model.callback;if(\"select\"==this.model.behavior){const o=this._computed_renderers_by_data_source();for(const[,a]of o){const o=a[0].get_selection_manager(),n=a.map(e=>this.plot_view.renderer_views.get(e));if(o.select(n,e,t,s)&&null!=i){const{frame:t}=this.plot_view,s=t.xscales[a[0].x_range_name],n=t.yscales[a[0].y_range_name],_=s.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:o.source};i.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.push_state(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=t.get_selection_manager();if(s.inspect(this.plot_view.renderer_views.get(t),e)&&null!=i){const{frame:o}=this.plot_view,a=o.xscales[t.x_range_name],n=o.yscales[t.y_range_name],_=a.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:s.source};i.execute(this.model,l)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class c extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=n.bk_tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=_,this.define({behavior:[a.TapBehavior,\"select\"],callback:[a.Any]}),this.register_alias(\"click\",()=>new c({behavior:\"inspect\"})),this.register_alias(\"tap\",()=>new c)}}s.TapTool=c,c.__name__=\"TapTool\",c.init_TapTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),i=n.__importStar(e(18)),a=e(287);class l extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){const{frame:t}=this.plot_view,s=t.bbox.h_range,n=t.bbox.v_range,[o,i]=[s.start,s.end],[a,l]=[n.start,n.end];let r,h,_,d;switch(this.model.dimension){case\"height\":{const t=Math.abs(l-a);r=o,h=i,_=a-t*e,d=l-t*e;break}case\"width\":{const t=Math.abs(i-o);r=o-t*e,h=i-t*e,_=a,d=l;break}default:throw new Error(\"this shouldn't have happened\")}const{xscales:c,yscales:p}=t,m={};for(const e in c){const t=c[e],[s,n]=t.r_invert(r,h);m[e]={start:s,end:n}}const u={};for(const e in p){const t=p[e],[s,n]=t.r_invert(_,d);u[e]={start:s,end:n}}const w={xrs:m,yrs:u,factor:e};this.plot_view.push_state(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,!1,!0),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}s.WheelPanToolView=l,l.__name__=\"WheelPanToolView\";class r extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=a.bk_tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=l,this.define({dimension:[i.Dimension,\"width\"]}),this.internal({speed:[i.Number,.001]}),this.register_alias(\"xwheel_pan\",()=>new r({dimension:\"width\"})),this.register_alias(\"ywheel_pan\",()=>new r({dimension:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimension)}}s.WheelPanTool=r,r.__name__=\"WheelPanTool\",r.init_WheelPanTool()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),i=e(284),l=e(330),n=s.__importStar(e(18)),_=e(28),h=e(287);class a extends i.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:l}=e;let n;n=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:n,ctrlKey:i,shiftKey:l})}_scroll(e){const{frame:o}=this.plot_view,t=o.bbox.h_range,s=o.bbox.v_range,{sx:i,sy:n}=e,_=this.model.dimensions,h=(\"width\"==_||\"both\"==_)&&t.start<i&&i<t.end,a=(\"height\"==_||\"both\"==_)&&s.start<n&&n<s.end;if(!(h&&a||this.model.zoom_on_axis))return;const m=this.model.speed*e.delta,r=l.scale_range(o,m,h,a,{x:i,y:n});this.plot_view.push_state(\"wheel_zoom\",{range:r}),this.plot_view.update_range(r,!1,!0,this.model.maintain_focus),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}t.WheelZoomToolView=a,a.__name__=\"WheelZoomToolView\";class m extends i.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=h.bk_tool_icon_wheel_zoom,this.event_type=_.is_mobile?\"pinch\":\"scroll\",this.default_order=10}static init_WheelZoomTool(){this.prototype.default_view=a,this.define({dimensions:[n.Dimensions,\"both\"],maintain_focus:[n.Boolean,!0],zoom_on_axis:[n.Boolean,!0],speed:[n.Number,1/600]}),this.register_alias(\"wheel_zoom\",()=>new m({dimensions:\"both\"})),this.register_alias(\"xwheel_zoom\",()=>new m({dimensions:\"width\"})),this.register_alias(\"ywheel_zoom\",()=>new m({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}t.WheelZoomTool=m,m.__name__=\"WheelZoomTool\",m.init_WheelZoomTool()},\n      function _(i,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=i(1),o=i(274),n=i(141),l=t.__importStar(i(18)),h=i(17),a=i(287);class r extends o.InspectToolView{_move(i){if(!this.model.active)return;const{sx:s,sy:e}=i;this.plot_view.frame.bbox.contains(s,e)?this._update_spans(s,e):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,s){const e=this.model.dimensions;\"width\"!=e&&\"both\"!=e||(this.model.spans.width.location=s),\"height\"!=e&&\"both\"!=e||(this.model.spans.height.location=i)}}e.CrosshairToolView=r,r.__name__=\"CrosshairToolView\";class _ extends o.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=a.bk_tool_icon_crosshair}static init_CrosshairTool(){this.prototype.default_view=r,this.define({dimensions:[l.Dimensions,\"both\"],line_color:[l.Color,\"black\"],line_width:[l.Number,1],line_alpha:[l.Number,1]}),this.internal({spans:[l.Any]}),this.register_alias(\"crosshair\",()=>new _)}get tooltip(){return this._get_dim_tooltip(\"Crosshair\",this.dimensions)}get synthetic_renderers(){return h.values(this.spans)}initialize(){super.initialize(),this.spans={width:new n.Span({for_hover:!0,dimension:\"width\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha}),height:new n.Span({for_hover:!0,dimension:\"height\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha})}}}e.CrosshairTool=_,_.__name__=\"CrosshairTool\",_.init_CrosshairTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),o=e(71),i=r.__importStar(e(18)),a=e(17),n=e(24);class u extends o.Model{constructor(e){super(e)}static init_CustomJSHover(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get values(){return a.values(this.args)}_make_code(e,t,s,r){return new Function(...a.keys(this.args),e,t,s,n.use_strict(r))}format(e,t,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,t,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(274),i=e(144),r=e(81),l=e(100),a=e(341),c=n.__importStar(e(93)),d=e(160),_=e(68),p=n.__importStar(e(18)),h=e(20),m=e(17),u=e(8),y=e(99),x=e(287),f=e(145);function v(e,t,s,n,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[e+1]};let a,d;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-s),d=Math.abs(l.x-s)):(a=Math.abs(r.y-n),d=Math.abs(l.y-n));else{const e={x:s,y:n};a=c.dist_2_pts(r,e),d=c.dist_2_pts(l,e)}return a<d?[[r.x,r.y],e]:[[l.x,l.y],e+1]}function w(e,t,s){return[[e[s],t[s]],s]}s._nearest_line_hit=v,s._line_hit=w;class g extends o.InspectToolView{initialize(){super.initialize(),this._ttmodels=null,this._ttviews=new Map}remove(){y.remove_views(this._ttviews),super.remove()}connect_signals(){super.connect_signals();for(const e of this.computed_renderers)e instanceof r.GlyphRenderer?this.connect(e.data_source.inspect,this._update):e instanceof l.GraphRenderer&&(this.connect(e.node_renderer.data_source.inspect,this._update),this.connect(e.edge_renderer.data_source.inspect,this._update));this.connect(this.model.properties.renderers.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.names.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.tooltips.change,()=>this._ttmodels=null)}_compute_ttmodels(){const e=new Map,t=this.model.tooltips;if(null!=t)for(const s of this.computed_renderers){const n=new i.Tooltip({custom:u.isString(t)||u.isFunction(t),attachment:this.model.attachment,show_arrow:this.model.show_arrow});s instanceof r.GlyphRenderer?e.set(s,n):s instanceof l.GraphRenderer&&(e.set(s.node_renderer,n),e.set(s.edge_renderer,n))}return y.build_views(this._ttviews,[...e.values()],{parent:this.plot_view}),e}get computed_renderers(){if(null==this._computed_renderers){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;this._computed_renderers=a.compute_renderers(e,t,s)}return this._computed_renderers}get ttmodels(){return null==this._ttmodels&&(this._ttmodels=this._compute_ttmodels()),this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)?this._inspect(t,s):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let s;if(\"mouse\"==this.model.mode)s={type:\"point\",sx:e,sy:t};else{s={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){e.get_selection_manager().inspect(this.plot_view.renderer_views.get(e),s)}null!=this.model.callback&&this._emit_callback(s)}_update([e,{geometry:t}]){if(!this.model.active)return;if(!(e instanceof r.GlyphRendererView))return;const{model:s}=e;if(\"ignore\"==this.model.muted_policy&&s instanceof r.GlyphRenderer&&s.muted)return;const n=this.ttmodels.get(s);if(null==n)return;n.clear();const o=s.get_selection_manager();let i=o.inspectors.get(s);if(s instanceof r.GlyphRenderer&&(i=s.view.convert_selection_to_subset(i)),i.is_empty())return;const l=o.source,{frame:a}=this.plot_view,{sx:c,sy:d}=t,_=a.xscales[s.x_range_name],p=a.yscales[s.y_range_name],h=_.invert(c),u=p.invert(d),y=e.glyph;for(const s of i.line_indices){let o,r,a=y._x[s+1],m=y._y[s+1],x=s;switch(this.model.line_policy){case\"interp\":[a,m]=y.get_interpolation_hit(s,t),o=_.compute(a),r=p.compute(m);break;case\"prev\":[[o,r],x]=w(y.sx,y.sy,s);break;case\"next\":[[o,r],x]=w(y.sx,y.sy,s+1);break;case\"nearest\":[[o,r],x]=v(s,t,c,d,y.sx,y.sy),a=y._x[x],m=y._y[x];break;default:[o,r]=[c,d]}const f={index:x,x:h,y:u,sx:c,sy:d,data_x:a,data_y:m,rx:o,ry:r,indices:i.line_indices,name:e.model.name};n.add(o,r,this._render_tooltips(l,x,f))}for(const e of i.image_indices){const t={index:e.index,x:h,y:u,sx:c,sy:d},s=this._render_tooltips(l,e,t);n.add(c,d,s)}for(const o of i.indices)if(m.isEmpty(i.multiline_indices)){const t=null!=y._x?y._x[o]:void 0,a=null!=y._y?y._y[o]:void 0;let _,p,m;if(\"snap_to_data\"==this.model.point_policy){let e=y.get_anchor_point(this.model.anchor,o,[c,d]);null==e&&(e=y.get_anchor_point(\"center\",o,[c,d])),_=e.x,p=e.y}else[_,p]=[c,d];m=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const x={index:m,x:h,y:u,sx:c,sy:d,data_x:t,data_y:a,indices:i.indices,name:e.model.name};n.add(_,p,this._render_tooltips(l,m,x))}else for(const a of i.multiline_indices[o.toString()]){let m,x,f,g=y._xs[o][a],b=y._ys[o][a],k=a;switch(this.model.line_policy){case\"interp\":[g,b]=y.get_interpolation_hit(o,a,t),m=_.compute(g),x=p.compute(b);break;case\"prev\":[[m,x],k]=w(y.sxs[o],y.sys[o],a);break;case\"next\":[[m,x],k]=w(y.sxs[o],y.sys[o],a+1);break;case\"nearest\":[[m,x],k]=v(a,t,c,d,y.sxs[o],y.sys[o]),g=y._xs[o][k],b=y._ys[o][k];break;default:throw new Error(\"should't have happened\")}f=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const T={index:f,x:h,y:u,sx:c,sy:d,data_x:g,data_y:b,segment_index:k,indices:i.multiline_indices,name:e.model.name};n.add(m,x,this._render_tooltips(l,f,T))}}_emit_callback(e){for(const t of this.computed_renderers){const s=t.data_source.inspected,{frame:n}=this.plot_view,o=n.xscales[t.x_range_name],i=n.yscales[t.y_range_name],r=o.invert(e.sx),l=i.invert(e.sy),a=Object.assign({x:r,y:l},e);this.model.callback.execute(this.model,{index:s,geometry:a,renderer:t})}}_render_tooltips(e,t,s){const n=this.model.tooltips;if(u.isString(n)){const o=_.div();return o.innerHTML=d.replace_placeholders(n,e,t,this.model.formatters,s),o}if(u.isFunction(n))return n(e,s);{const o=_.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[i,r]of n){const n=_.div({style:{display:\"table-row\"}});let l;if(o.appendChild(n),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_label},0!=i.length?i+\": \":\"\"),n.appendChild(l),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_value}),n.appendChild(l),r.indexOf(\"$color\")>=0){const[,s=\"\",n]=r.match(/\\$color(\\[.*\\])?:(\\w*)/),o=e.get_column(n);if(null==o){const e=_.span({},n+\" unknown\");l.appendChild(e);continue}const i=s.indexOf(\"hex\")>=0,a=s.indexOf(\"swatch\")>=0;let c=u.isNumber(t)?o[t]:null;if(null==c){const e=_.span({},\"(null)\");l.appendChild(e);continue}i&&(c=h.color2hex(c));let d=_.span({},c);l.appendChild(d),a&&(d=_.span({class:f.bk_tooltip_color_block,style:{backgroundColor:c}},\" \"),l.appendChild(d))}else{const n=_.span();n.innerHTML=d.replace_placeholders(r.replace(\"$~\",\"$data_\"),e,t,this.model.formatters,s),l.appendChild(n)}}return o}}}s.HoverToolView=g,g.__name__=\"HoverToolView\";class b extends o.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=x.bk_tool_icon_hover}static init_HoverTool(){this.prototype.default_view=g,this.define({tooltips:[p.Any,[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[p.Any,{}],renderers:[p.Any,\"auto\"],names:[p.Array,[]],mode:[p.HoverMode,\"mouse\"],muted_policy:[p.MutedPolicy,\"show\"],point_policy:[p.PointPolicy,\"snap_to_data\"],line_policy:[p.LinePolicy,\"nearest\"],show_arrow:[p.Boolean,!0],anchor:[p.Anchor,\"center\"],attachment:[p.TooltipAttachment,\"horizontal\"],callback:[p.Any]}),this.register_alias(\"hover\",()=>new b)}}s.HoverTool=b,b.__name__=\"HoverTool\",b.init_HoverTool()},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),n=t(14),s=t(71),l=t(274),c=t(356);class r extends s.Model{constructor(t){super(t)}static init_ToolProxy(){this.define({tools:[i.Array,[]],active:[i.Boolean,!1],disabled:[i.Boolean,!1]})}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get 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t=e(9);function*r(e,n){const o=e.length;if(n>o)return;const r=t.range(n);for(yield r.map(n=>e[n]);;){let f;for(const e of t.reversed(t.range(n)))if(r[e]!=e+o-n){f=e;break}if(null==f)return;r[f]+=1;for(const e of t.range(f+1,n))r[e]=r[e-1]+1;yield r.map(n=>e[n])}}o.enumerate=function*(e){let n=0;for(const o of e)yield[o,n++]},o.combinations=r,o.subsets=function*(e){for(const n of t.range(e.length+1))yield*r(e,n)}},\n      function _(t,o,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),e=t(9),n=t(283),r=t(355),l=t(245),c=t(188);class h extends n.ToolbarBase{constructor(t){super(t)}static init_ProxyToolbar(){this.define({toolbars:[i.Array,[]]})}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const t={},o={},s={},i=[],n=[];for(const t of this.help)e.includes(n,t.redirect)||(i.push(t),n.push(t.redirect));this._proxied_tools.push(...i),this.help=i;for(const t in this.gestures){const o=this.gestures[t];t in s||(s[t]={});for(const i of o.tools)i.type in s[t]||(s[t][i.type]=[]),s[t][i.type].push(i)}for(const o of this.inspectors)o.type in t||(t[o.type]=[]),t[o.type].push(o);for(const t of this.actions)t.type in o||(o[t.type]=[]),o[t.type].push(t);const l=(t,o=!1)=>{const s=new r.ToolProxy({tools:t,active:o});return this._proxied_tools.push(s),s};for(const t in s){const o=this.gestures[t];o.tools=[];for(const i in s[t]){const e=s[t][i];if(e.length>0)if(\"multi\"==t)for(const t of e){const s=l([t]);o.tools.push(s),this.connect(s.properties.active.change,()=>this._active_change(s))}else{const t=l(e);o.tools.push(t),this.connect(t.properties.active.change,()=>this._active_change(t))}}}this.actions=[];for(const t in o){const s=o[t];if(\"CustomAction\"==t)for(const t of s)this.actions.push(l([t]));else s.length>0&&this.actions.push(l(s))}this.inspectors=[];for(const o in t){const s=t[o];s.length>0&&this.inspectors.push(l(s,!0))}for(const t in this.gestures){const o=this.gestures[t];0!=o.tools.length&&(o.tools=e.sort_by(o.tools,t=>t.default_order),\"pinch\"!=t&&\"scroll\"!=t&&\"multi\"!=t&&(o.tools[0].active=!0))}}}s.ProxyToolbar=h,h.__name__=\"ProxyToolbar\",h.init_ProxyToolbar();class a extends l.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new c.ContentBox(this.child_views[0].el);const{toolbar:t}=this.model;t.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}}s.ToolbarBoxView=a,a.__name__=\"ToolbarBoxView\";class _ extends l.LayoutDOM{constructor(t){super(t)}static init_ToolbarBox(){this.prototype.default_view=a,this.define({toolbar:[i.Instance],toolbar_location:[i.Location,\"right\"]})}}s.ToolbarBox=_,_.__name__=\"ToolbarBox\",_.init_ToolbarBox()},\n      function 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Error(`Error rendering Bokeh model: could not find #${e} HTML tag`);if(!document.body.contains(o))throw new Error(`Error rendering Bokeh model: element #${e} must be under <body>`);if(\"SCRIPT\"==o.tagName){const e=t.div({class:n.BOKEH_ROOT});t.replaceWith(o,e),o=e}return o}n.BOKEH_ROOT=r.bk_root,n._resolve_element=function(e){const{elementid:o}=e;return null!=o?l(o):document.body},n._resolve_root_elements=function(e){const o=[];if(null!=e.root_ids&&null!=e.roots)for(const n of e.root_ids)o.push(l(e.roots[n]));return o}},\n      function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=n(361),s=n(72),c=n(358);t._get_ws_url=function(n,o){let t,e=\"ws:\";return\"https:\"==window.location.protocol&&(e=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),e+\"//\"+t.host+n+\"/ws\"};const r={};t.add_document_from_session=async function(n,o,t,a=[],i=!1){const 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h{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,o=null){this.url=e,this.token=s,this.args_string=o,this._number=l++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new i.Receiver,this.id=_(s).session_id.split(\".\")[0],t.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=\"\"+this.url;return null!=this.args_string&&this.args_string.length>0&&(e+=\"?\"+this.args_string),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)})}catch(e){throw t.logger.error(\"websocket creation failed to url: \"+this.url),t.logger.error(\" - \"+e),e}}close(){this.closed_permanently||(t.logger.debug(\"Permanently closing websocket connection \"+this._number),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,\"close method called on ClientConnection \"+this._number),this.session._connection_closed())}_schedule_reconnect(e){setTimeout(()=>{this.closed_permanently||t.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)},e)}send(e){if(null==this.socket)throw new Error(\"not connected so cannot send \"+e);e.send(this.socket)}async send_with_reply(e){const s=await new 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c.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],t.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),t.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),t.logger.error(\"Failed to repull session \"+e),s(e)}}_on_open(e,s){t.logger.info(`Websocket connection ${this._number} is now open`),this._current_handler=n=>{this._awaiting_ack_handler(n,e,s)}}_on_message(e){null==this._current_handler&&t.logger.error(\"Got a message with no current handler set\");try{this._receiver.consume(e.data)}catch(e){this._close_bad_protocol(e.toString())}const s=this._receiver.message;if(null!=s){const e=s.problem();null!=e&&this._close_bad_protocol(e),this._current_handler(s)}}_on_close(e,s){t.logger.info(`Lost websocket ${this._number} connection, ${e.code} (${e.reason})`),this.socket=null,this._pending_replies.forEach(e=>e.reject(\"Disconnected\")),this._pending_replies.clear(),this.closed_permanently||this._schedule_reconnect(2e3),s(new Error(`Lost websocket connection, ${e.code} (${e.reason})`))}_on_error(e){t.logger.debug(\"Websocket error on socket \"+this._number);const s=\"Could not open websocket\";t.logger.error(\"Failed to connect to Bokeh server: \"+s),e(new Error(s))}_close_bad_protocol(e){t.logger.error(\"Closing connection: \"+e),null!=this.socket&&this.socket.close(1002,e)}_awaiting_ack_handler(e,s,n){\"ACK\"===e.msgtype()?(this._current_handler=e=>this._steady_state_handler(e),this._repull_session_doc(s,n)):this._close_bad_protocol(\"First message was not an ACK\")}_steady_state_handler(e){const s=e.reqid(),n=this._pending_replies.get(s);n?(this._pending_replies.delete(s),n.resolve(e)):this.session?this.session.handle(e):\"PATCH-DOC\"!=e.msgtype()&&this._pending_messages.push(e)}}n.ClientConnection=h,h.__name__=\"ClientConnection\",n.pull_session=function(e,s,n){return new h(e,s,n).connect()}},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(24);class n{constructor(e,s,t){this.header=e,this.metadata=s,this.content=t,this.buffers=new Map}static assemble(e,s,t){const r=JSON.parse(e),i=JSON.parse(s),a=JSON.parse(t);return new n(r,i,a)}assemble_buffer(e,s){const t=null!=this.header.num_buffers?this.header.num_buffers:0;if(t<=this.buffers.size)throw new Error(\"too many buffers received, expecting \"+t);const{id:r}=JSON.parse(e);this.buffers.set(r,s)}static create(e,s,t={}){const r=n.create_header(e);return new n(r,s,t)}static create_header(e){return{msgid:r.uniqueId(),msgtype:e}}complete(){return null!=this.header&&null!=this.metadata&&null!=this.content&&(null==this.header.num_buffers||this.buffers.size==this.header.num_buffers)}send(e){if((null!=this.header.num_buffers?this.header.num_buffers:0)>0)throw new Error(\"BokehJS only supports receiving buffers, not sending\");const s=JSON.stringify(this.header),t=JSON.stringify(this.metadata),r=JSON.stringify(this.content);e.send(s),e.send(t),e.send(r)}msgid(){return this.header.msgid}msgtype(){return this.header.msgtype}reqid(){return this.header.reqid}problem(){return\"msgid\"in this.header?\"msgtype\"in this.header?null:\"No msgtype in header\":\"No msgid in header\"}}t.Message=n,n.__name__=\"Message\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const _=e(362),r=e(8);class 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new Promise((function(n,r){(function(e,o,t,n){Promise.resolve(n).then((function(o){e({value:o,done:t})}),o)})(n,r,(o=e[t](o)).done,o.value)}))}}};const s=e(5),i=e(363),l=e(72),a=e(68),c=e(17),u=e(358),f=e(359),g=n.__importDefault(e(69)),m=n.__importDefault(e(289)),d=n.__importDefault(e(366));function p(e,o){o.buffers.length>0?e.consume(o.buffers[0].buffer):e.consume(o.content.data);const t=e.message;null!=t&&this.apply_json_patch(t.content,t.buffers)}function _(e,o){if(\"undefined\"!=typeof Jupyter&&null!=Jupyter.notebook.kernel){l.logger.info(\"Registering Jupyter comms for target \"+e);const t=Jupyter.notebook.kernel.comm_manager;try{t.register_target(e,t=>{l.logger.info(\"Registering Jupyter comms for target \"+e);const n=new i.Receiver;t.on_msg(p.bind(o,n))})}catch(e){l.logger.warn(`Jupyter comms failed to register. push_notebook() will not function. 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t=this.menu.children.length;this._open&&t>0&&(this.menu.children[this._hover_index].classList.remove(u.bk_active),this._hover_index=o.clamp(e,0,t-1),this.menu.children[this._hover_index].classList.add(u.bk_active))}_keydown(e){}_keyup(e){switch(e.keyCode){case h.Keys.Enter:this.change_input();break;case h.Keys.Esc:this._hide_menu();break;case h.Keys.Up:this._bump_hover(this._hover_index-1);break;case h.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.length<this.model.min_characters)return void this._hide_menu();const t=[],{case_sensitive:n}=this.model;let i;i=n?e=>e:e=>e.toLowerCase();for(const n of this.model.completions)i(n).startsWith(i(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class a extends s.TextInput{constructor(e){super(e)}static init_AutocompleteInput(){this.prototype.default_view=l,this.define({completions:[_.Array,[]],min_characters:[_.Int,2],case_sensitive:[_.Boolean,!0]})}}n.AutocompleteInput=a,a.__name__=\"AutocompleteInput\",a.init_AutocompleteInput()},\n      397: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),p=n.__importStar(e(18)),u=e(400);class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.value_input.change,()=>this.input_el.value=this.model.value_input),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder)}render(){super.render(),this.input_el=l.input({type:\"text\",class:u.bk_input,name:this.model.name,value:this.model.value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.input_el.addEventListener(\"input\",()=>this.change_input_oninput()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_oninput(){this.model.value_input=this.input_el.value,super.change_input()}}i.TextInputView=a,a.__name__=\"TextInputView\";class h extends s.InputWidget{constructor(e){super(e)}static init_TextInput(){this.prototype.default_view=a,this.define({value:[p.String,\"\"],value_input:[p.String,\"\"],placeholder:[p.String,\"\"]})}}i.TextInput=h,h.__name__=\"TextInput\",h.init_TextInput()},\n      398: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),l=t(393),s=t(68),_=n.__importStar(t(18)),o=n.__importDefault(t(399)),r=t(400);class p extends l.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,()=>{this.label_el.textContent=this.model.title})}styles(){return[...super.styles(),o.default]}render(){super.render();const{title:t}=this.model;this.label_el=s.label({style:{display:0==t.length?\"none\":\"\"}},t),this.group_el=s.div({class:r.bk_input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=p,p.__name__=\"InputWidgetView\";class u extends l.Control{constructor(t){super(t)}static init_InputWidget(){this.define({title:[_.String,\"\"]})}}i.InputWidget=u,u.__name__=\"InputWidget\",u.init_InputWidget()},\n      399: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-input {\\n  display: inline-block;\\n  width: 100%;\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  min-height: 31px;\\n  padding: 0 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n}\\n.bk-root .bk-input:focus {\\n  border-color: #66afe9;\\n  outline: 0;\\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);\\n}\\n.bk-root .bk-input::placeholder,\\n.bk-root .bk-input:-ms-input-placeholder,\\n.bk-root .bk-input::-moz-placeholder,\\n.bk-root .bk-input::-webkit-input-placeholder {\\n  color: #999;\\n  opacity: 1;\\n}\\n.bk-root .bk-input[disabled] {\\n  cursor: not-allowed;\\n  background-color: #eee;\\n  opacity: 1;\\n}\\n.bk-root select:not([multiple]).bk-input,\\n.bk-root select:not([size]).bk-input {\\n  height: auto;\\n  appearance: none;\\n  -webkit-appearance: none;\\n  background-image: url(\\'data:image/svg+xml;utf8,<svg version=\"1.1\" viewBox=\"0 0 25 20\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M 0,0 25,0 12.5,20 Z\" fill=\"black\" /></svg>\\');\\n  background-position: right 0.5em center;\\n  background-size: 8px 6px;\\n  background-repeat: no-repeat;\\n}\\n.bk-root select[multiple].bk-input,\\n.bk-root select[size].bk-input,\\n.bk-root textarea.bk-input {\\n  height: auto;\\n}\\n.bk-root .bk-input-group {\\n  width: 100%;\\n  height: 100%;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: start;\\n  -webkit-align-items: start;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  white-space: nowrap;\\n}\\n.bk-root .bk-input-group.bk-inline {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-input-group.bk-inline > *:not(:first-child) {\\n  margin-left: 5px;\\n}\\n.bk-root .bk-input-group input[type=\"checkbox\"] + span,\\n.bk-root .bk-input-group input[type=\"radio\"] + span {\\n  position: relative;\\n  top: -2px;\\n  margin-left: 3px;\\n}\\n'},\n      400: function _(u,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.bk_input=\"bk-input\",n.bk_input_group=\"bk-input-group\"},\n      401: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(392),o=t(291);class s extends n.AbstractButtonView{click(){this.model.clicks=this.model.clicks+1,this.model.trigger_event(new o.ButtonClick),super.click()}}i.ButtonView=s,s.__name__=\"ButtonView\";class c extends n.AbstractButton{constructor(t){super(t)}static init_Button(){this.prototype.default_view=s,this.override({label:\"Button\"})}}i.Button=c,c.__name__=\"Button\",c.init_Button()},\n      402: function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),c=t(403),s=t(68),n=i.__importStar(t(18)),a=t(146);class u extends c.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach((e,o)=>{s.classes(e).toggle(a.bk_active,t.has(o))})}}o.CheckboxButtonGroupView=u,u.__name__=\"CheckboxButtonGroupView\";class r extends c.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=u,this.define({active:[n.Array,[]]})}}o.CheckboxButtonGroup=r,r.__name__=\"CheckboxButtonGroup\",r.init_CheckboxButtonGroup()},\n      403: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),o=t(393),i=t(68),r=n.__importStar(t(18)),_=t(254),u=n.__importDefault(t(256));class a extends o.ControlView{*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,()=>this.render()),this.on_change(t.labels,()=>this.render()),this.on_change(t.active,()=>this._update_active())}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map((t,e)=>{const s=i.div({class:[_.bk_btn,_.bk_btn_type(this.model.button_type)],disabled:this.model.disabled},t);return s.addEventListener(\"click\",()=>this.change_active(e)),s}),this._update_active();const t=i.div({class:_.bk_btn_group},this._buttons);this.el.appendChild(t)}}s.ButtonGroupView=a,a.__name__=\"ButtonGroupView\";class l extends o.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define({labels:[r.Array,[]],button_type:[r.ButtonType,\"default\"]})}}s.ButtonGroup=l,l.__name__=\"ButtonGroup\",l.init_ButtonGroup()},\n      404: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(405),o=e(68),c=e(9),a=n.__importStar(e(18)),l=e(146),d=e(400);class r extends s.InputGroupView{render(){super.render();const e=o.div({class:[d.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const{active:t,labels:i}=this.model;this._inputs=[];for(let n=0;n<i.length;n++){const s=o.input({type:\"checkbox\",value:\"\"+n});s.addEventListener(\"change\",()=>this.change_active(n)),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),c.includes(t,n)&&(s.checked=!0);const a=o.label({},s,o.span({},i[n]));e.appendChild(a)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}i.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class p extends s.InputGroup{constructor(e){super(e)}static init_CheckboxGroup(){this.prototype.default_view=r,this.define({active:[a.Array,[]],labels:[a.Array,[]],inline:[a.Boolean,!1]})}}i.CheckboxGroup=p,p.__name__=\"CheckboxGroup\",p.init_CheckboxGroup()},\n      405: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),o=e(393),r=s.__importDefault(e(399));class u extends o.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}styles(){return[...super.styles(),r.default]}}n.InputGroupView=u,u.__name__=\"InputGroupView\";class _ extends o.Control{constructor(e){super(e)}}n.InputGroup=_,_.__name__=\"InputGroup\"},\n      406: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),o=e(398),s=e(68),l=n.__importStar(e(18)),r=e(400);class c extends o.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.color.change,()=>this.input_el.value=this.model.color),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled)}render(){super.render(),this.input_el=s.input({type:\"color\",class:r.bk_input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}t.ColorPickerView=c,c.__name__=\"ColorPickerView\";class d extends o.InputWidget{constructor(e){super(e)}static init_ColorPicker(){this.prototype.default_view=c,this.define({color:[l.Color,\"#000000\"]})}}t.ColorPicker=d,d.__name__=\"ColorPicker\",d.init_ColorPicker()},\n      407: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=n.__importDefault(e(408)),a=e(398),l=e(68),o=n.__importStar(e(18)),r=e(8),d=e(400),c=n.__importDefault(e(409));function u(e){const t=[];for(const i of e)if(r.isString(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class _ extends a.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,()=>{var t;return null===(t=this._picker)||void 0===t?void 0:t.setDate(e.value())}),this.connect(t.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",t.value())}),this.connect(i.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",i.value())}),this.connect(n.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",n.value())}),this.connect(s.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",s.value())}),this.connect(a.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",a.value())}),this.connect(l.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",l.value())})}remove(){var e;null===(e=this._picker)||void 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h.l10n.amPM[0].charAt(0):case h.l10n.amPM[0].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[0],E(),ve();break;case h.l10n.amPM[1].charAt(0):case h.l10n.amPM[1].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[1],E(),ve()}(t||z(e.target))&&fe(\"onKeyDown\",e)}function ee(e){if(1===h.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var t=e?e.dateObj.getTime():h.days.firstElementChild.dateObj.getTime(),n=h.parseDate(h.selectedDates[0],void 0,!0).getTime(),a=Math.min(t,h.selectedDates[0].getTime()),i=Math.max(t,h.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;c<i;c+=b)Z(new Date(c),!0)||(o=o||c>a&&c<i,c<n&&(!r||c>r)?r=c:c>n&&(!l||c<l)&&(l=c));for(var d=0;d<h.config.showMonths;d++)for(var s=h.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(t<=h.selectedDates[0].getTime()?\"startRange\":\"endRange\"),n<t&&m===n?f.classList.add(\"startRange\"):n>t&&m===n&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=n,u=t,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function te(){!h.isOpen||h.config.static||h.config.inline||oe()}function ne(){h.setDate(void 0!==h.config.minDate?new Date(h.config.minDate.getTime()):new Date,!0),k(),ve()}function ae(e){return function(t){var n=h.config[\"_\"+e+\"Date\"]=h.parseDate(t,h.config.dateFormat),a=h.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==n&&(h[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=n.getHours()>0||n.getMinutes()>0||n.getSeconds()>0),h.selectedDates&&(h.selectedDates=h.selectedDates.filter((function(e){return Z(e)})),h.selectedDates.length||\"min\"!==e||T(n),ve()),h.daysContainer&&(re(),void 0!==n?h.currentYearElement[e]=n.getFullYear().toString():h.currentYearElement.removeAttribute(e),h.currentYearElement.disabled=!!a&&void 0!==n&&a.getFullYear()===n.getFullYear())}}function ie(){\"object\"!=typeof h.config.locale&&void 0===y.l10ns[h.config.locale]&&h.config.errorHandler(new Error(\"flatpickr: invalid locale \"+h.config.locale)),h.l10n=e({},y.l10ns.default,\"object\"==typeof h.config.locale?h.config.locale:\"default\"!==h.config.locale?y.l10ns[h.config.locale]:void 0),p.K=\"(\"+h.l10n.amPM[0]+\"|\"+h.l10n.amPM[1]+\"|\"+h.l10n.amPM[0].toLowerCase()+\"|\"+h.l10n.amPM[1].toLowerCase()+\")\",void 0===e({},g,JSON.parse(JSON.stringify(f.dataset||{}))).time_24hr&&void 0===y.defaultConfig.time_24hr&&(h.config.time_24hr=h.l10n.time_24hr),h.formatDate=v(h),h.parseDate=D({config:h.config,l10n:h.l10n})}function oe(e){if(void 0!==h.calendarContainer){fe(\"onPreCalendarPosition\");var t=e||h._positionElement,n=Array.prototype.reduce.call(h.calendarContainer.children,(function(e,t){return e+t.offsetHeight}),0),a=h.calendarContainer.offsetWidth,i=h.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=t.getBoundingClientRect(),d=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&d<n&&l.top>n,u=window.pageYOffset+l.top+(s?-n-2:t.offsetHeight+2);if(c(h.calendarContainer,\"arrowTop\",!s),c(h.calendarContainer,\"arrowBottom\",s),!h.config.inline){var f=window.pageXOffset+l.left-(null!=r&&\"center\"===r?(a-l.width)/2:0),m=window.document.body.offsetWidth-(window.pageXOffset+l.right),g=f+a>window.document.body.offsetWidth,p=m+a>window.document.body.offsetWidth;if(c(h.calendarContainer,\"rightMost\",g),!h.config.static)if(h.calendarContainer.style.top=u+\"px\",g)if(p){var v=document.styleSheets[0];if(void 0===v)return;var D=window.document.body.offsetWidth,w=Math.max(0,D/2-a/2),b=v.cssRules.length,C=\"{left:\"+l.left+\"px;right:auto;}\";c(h.calendarContainer,\"rightMost\",!1),c(h.calendarContainer,\"centerMost\",!0),v.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+C,b),h.calendarContainer.style.left=w+\"px\",h.calendarContainer.style.right=\"auto\"}else h.calendarContainer.style.left=\"auto\",h.calendarContainer.style.right=m+\"px\";else h.calendarContainer.style.left=f+\"px\",h.calendarContainer.style.right=\"auto\"}}}function re(){h.config.noCalendar||h.isMobile||(pe(),R())}function le(){h._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(h.close,0):h.close()}function ce(e){e.preventDefault(),e.stopPropagation();var t=function e(t,n){return n(t)?t:t.parentNode?e(t.parentNode,n):void 0}(e.target,(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==t){var n=t,a=h.latestSelectedDateObj=new Date(n.dateObj.getTime()),i=(a.getMonth()<h.currentMonth||a.getMonth()>h.currentMonth+h.config.showMonths-1)&&\"range\"!==h.config.mode;if(h.selectedDateElem=n,\"single\"===h.config.mode)h.selectedDates=[a];else if(\"multiple\"===h.config.mode){var o=ge(a);o?h.selectedDates.splice(parseInt(o),1):h.selectedDates.push(a)}else\"range\"===h.config.mode&&(2===h.selectedDates.length&&h.clear(!1,!1),h.latestSelectedDateObj=a,h.selectedDates.push(a),0!==w(a,h.selectedDates[0],!0)&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()})));if(E(),i){var r=h.currentYear!==a.getFullYear();h.currentYear=a.getFullYear(),h.currentMonth=a.getMonth(),r&&(fe(\"onYearChange\"),B()),fe(\"onMonthChange\")}if(pe(),R(),ve(),h.config.enableTime&&setTimeout((function(){return h.showTimeInput=!0}),50),i||\"range\"===h.config.mode||1!==h.config.showMonths?void 0!==h.selectedDateElem&&void 0===h.hourElement&&h.selectedDateElem&&h.selectedDateElem.focus():j(n),void 0!==h.hourElement&&void 0!==h.hourElement&&h.hourElement.focus(),h.config.closeOnSelect){var l=\"single\"===h.config.mode&&!h.config.enableTime,c=\"range\"===h.config.mode&&2===h.selectedDates.length&&!h.config.enableTime;(l||c)&&le()}F()}}h.parseDate=D({config:h.config,l10n:h.l10n}),h._handlers=[],h.pluginElements=[],h.loadedPlugins=[],h._bind=O,h._setHoursFromDate=T,h._positionCalendar=oe,h.changeMonth=$,h.changeYear=V,h.clear=function(e,t){void 0===e&&(e=!0),void 0===t&&(t=!0),h.input.value=\"\",void 0!==h.altInput&&(h.altInput.value=\"\"),void 0!==h.mobileInput&&(h.mobileInput.value=\"\"),h.selectedDates=[],h.latestSelectedDateObj=void 0,!0===t&&(h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth()),h.showTimeInput=!1,!0===h.config.enableTime&&k(),h.redraw(),e&&fe(\"onChange\")},h.close=function(){h.isOpen=!1,h.isMobile||(void 0!==h.calendarContainer&&h.calendarContainer.classList.remove(\"open\"),void 0!==h._input&&h._input.classList.remove(\"active\")),fe(\"onClose\")},h._createElement=d,h.destroy=function(){void 0!==h.config&&fe(\"onDestroy\");for(var e=h._handlers.length;e--;){var t=h._handlers[e];t.element.removeEventListener(t.event,t.handler,t.options)}if(h._handlers=[],h.mobileInput)h.mobileInput.parentNode&&h.mobileInput.parentNode.removeChild(h.mobileInput),h.mobileInput=void 0;else if(h.calendarContainer&&h.calendarContainer.parentNode)if(h.config.static&&h.calendarContainer.parentNode){var n=h.calendarContainer.parentNode;if(n.lastChild&&n.removeChild(n.lastChild),n.parentNode){for(;n.firstChild;)n.parentNode.insertBefore(n.firstChild,n);n.parentNode.removeChild(n)}}else h.calendarContainer.parentNode.removeChild(h.calendarContainer);h.altInput&&(h.input.type=\"text\",h.altInput.parentNode&&h.altInput.parentNode.removeChild(h.altInput),delete 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0!==h.mobileInput&&(h.mobileInput.focus(),h.mobileInput.click()),void fe(\"onOpen\");if(!h._input.disabled&&!h.config.inline){var n=h.isOpen;h.isOpen=!0,n||(h.calendarContainer.classList.add(\"open\"),h._input.classList.add(\"active\"),fe(\"onOpen\"),oe(t)),!0===h.config.enableTime&&!0===h.config.noCalendar&&(0===h.selectedDates.length&&ne(),!1!==h.config.allowInput||void 0!==e&&h.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return h.hourElement.select()}),50))}},h.redraw=re,h.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(h.config,e),e)void 0!==de[a]&&de[a].forEach((function(e){return e()}));else h.config[e]=n,void 0!==de[e]?de[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(h.config[e]=l(n));h.redraw(),ve(!1)},h.setDate=function(e,t,n){if(void 0===t&&(t=!1),void 0===n&&(n=h.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return h.clear(t);se(e,n),h.showTimeInput=h.selectedDates.length>0,h.latestSelectedDateObj=h.selectedDates[h.selectedDates.length-1],h.redraw(),N(),T(),0===h.selectedDates.length&&h.clear(!1),ve(t),t&&fe(\"onChange\")},h.toggle=function(e){if(!0===h.isOpen)return h.close();h.open(e)};var de={locale:[ie,q],showMonths:[K,M,U],minDate:[N],maxDate:[N]};function se(e,t){var n=[];if(e instanceof Array)n=e.map((function(e){return h.parseDate(e,t)}));else if(e instanceof Date||\"number\"==typeof e)n=[h.parseDate(e,t)];else if(\"string\"==typeof e)switch(h.config.mode){case\"single\":case\"time\":n=[h.parseDate(e,t)];break;case\"multiple\":n=e.split(h.config.conjunction).map((function(e){return h.parseDate(e,t)}));break;case\"range\":n=e.split(h.l10n.rangeSeparator).map((function(e){return h.parseDate(e,t)}))}else h.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));h.selectedDates=n.filter((function(e){return e instanceof Date&&Z(e,!1)})),\"range\"===h.config.mode&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()}))}function ue(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?h.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:h.parseDate(e.from,void 0),to:h.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function fe(e,t){if(void 0!==h.config){var n=h.config[e];if(void 0!==n&&n.length>0)for(var a=0;n[a]&&a<n.length;a++)n[a](h.selectedDates,h.input.value,h,t);\"onChange\"===e&&(h.input.dispatchEvent(me(\"change\")),h.input.dispatchEvent(me(\"input\")))}}function me(e){var t=document.createEvent(\"Event\");return t.initEvent(e,!0,!0),t}function ge(e){for(var t=0;t<h.selectedDates.length;t++)if(0===w(h.selectedDates[t],e))return\"\"+t;return!1}function pe(){h.config.noCalendar||h.isMobile||!h.monthNav||(h.yearElements.forEach((function(e,t){var n=new Date(h.currentYear,h.currentMonth,1);n.setMonth(h.currentMonth+t),h.config.showMonths>1||\"static\"===h.config.monthSelectorType?h.monthElements[t].textContent=m(n.getMonth(),h.config.shorthandCurrentMonth,h.l10n)+\" \":h.monthsDropdownContainer.value=n.getMonth().toString(),e.value=n.getFullYear().toString()})),h._hidePrevMonthArrow=void 0!==h.config.minDate&&(h.currentYear===h.config.minDate.getFullYear()?h.currentMonth<=h.config.minDate.getMonth():h.currentYear<h.config.minDate.getFullYear()),h._hideNextMonthArrow=void 0!==h.config.maxDate&&(h.currentYear===h.config.maxDate.getFullYear()?h.currentMonth+1>h.config.maxDate.getMonth():h.currentYear>h.config.maxDate.getFullYear()))}function he(e){return h.selectedDates.map((function(t){return h.formatDate(t,e)})).filter((function(e,t,n){return\"range\"!==h.config.mode||h.config.enableTime||n.indexOf(e)===t})).join(\"range\"!==h.config.mode?h.config.conjunction:h.l10n.rangeSeparator)}function ve(e){void 0===e&&(e=!0),void 0!==h.mobileInput&&h.mobileFormatStr&&(h.mobileInput.value=void 0!==h.latestSelectedDateObj?h.formatDate(h.latestSelectedDateObj,h.mobileFormatStr):\"\"),h.input.value=he(h.config.dateFormat),void 0!==h.altInput&&(h.altInput.value=he(h.config.altFormat)),!1!==e&&fe(\"onValueUpdate\")}function De(e){var t=h.prevMonthNav.contains(e.target),n=h.nextMonthNav.contains(e.target);t||n?$(t?-1:1):h.yearElements.indexOf(e.target)>=0?e.target.select():e.target.classList.contains(\"arrowUp\")?h.changeYear(h.currentYear+1):e.target.classList.contains(\"arrowDown\")&&h.changeYear(h.currentYear-1)}return function(){h.element=h.input=f,h.isOpen=!1,function(){var a=[\"wrap\",\"weekNumbers\",\"allowInput\",\"clickOpens\",\"time_24hr\",\"enableTime\",\"noCalendar\",\"altInput\",\"shorthandCurrentMonth\",\"inline\",\"static\",\"enableSeconds\",\"disableMobile\"],i=e({},g,JSON.parse(JSON.stringify(f.dataset||{}))),o={};h.config.parseDate=i.parseDate,h.config.formatDate=i.formatDate,Object.defineProperty(h.config,\"enable\",{get:function(){return h.config._enable},set:function(e){h.config._enable=ue(e)}}),Object.defineProperty(h.config,\"disable\",{get:function(){return h.config._disable},set:function(e){h.config._disable=ue(e)}});var r=\"time\"===i.mode;if(!i.dateFormat&&(i.enableTime||r)){var c=y.defaultConfig.dateFormat||n.dateFormat;o.dateFormat=i.noCalendar||r?\"H:i\"+(i.enableSeconds?\":S\":\"\"):c+\" H:i\"+(i.enableSeconds?\":S\":\"\")}if(i.altInput&&(i.enableTime||r)&&!i.altFormat){var d=y.defaultConfig.altFormat||n.altFormat;o.altFormat=i.noCalendar||r?\"h:i\"+(i.enableSeconds?\":S K\":\" K\"):d+\" h:i\"+(i.enableSeconds?\":S\":\"\")+\" K\"}i.altInputClass||(h.config.altInputClass=h.input.className+\" \"+h.config.altInputClass),Object.defineProperty(h.config,\"minDate\",{get:function(){return h.config._minDate},set:ae(\"min\")}),Object.defineProperty(h.config,\"maxDate\",{get:function(){return h.config._maxDate},set:ae(\"max\")});var s=function(e){return function(t){h.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=h.parseDate(t,\"H:i:S\")}};Object.defineProperty(h.config,\"minTime\",{get:function(){return h.config._minTime},set:s(\"min\")}),Object.defineProperty(h.config,\"maxTime\",{get:function(){return h.config._maxTime},set:s(\"max\")}),\"time\"===i.mode&&(h.config.noCalendar=!0,h.config.enableTime=!0),Object.assign(h.config,o,i);for(var u=0;u<a.length;u++)h.config[a[u]]=!0===h.config[a[u]]||\"true\"===h.config[a[u]];for(t.filter((function(e){return void 0!==h.config[e]})).forEach((function(e){h.config[e]=l(h.config[e]||[]).map(C)})),h.isMobile=!h.config.disableMobile&&!h.config.inline&&\"single\"===h.config.mode&&!h.config.disable.length&&!h.config.enable.length&&!h.config.weekNumbers&&/Android|webOS|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini/i.test(navigator.userAgent),u=0;u<h.config.plugins.length;u++){var m=h.config.plugins[u](h)||{};for(var p in m)t.indexOf(p)>-1?h.config[p]=l(m[p]).map(C).concat(h.config[p]):void 0===i[p]&&(h.config[p]=m[p])}fe(\"onParseConfig\")}(),ie(),h.input=h.config.wrap?f.querySelector(\"[data-input]\"):f,h.input?(h.input._type=h.input.type,h.input.type=\"text\",h.input.classList.add(\"flatpickr-input\"),h._input=h.input,h.config.altInput&&(h.altInput=d(h.input.nodeName,h.config.altInputClass),h._input=h.altInput,h.altInput.placeholder=h.input.placeholder,h.altInput.disabled=h.input.disabled,h.altInput.required=h.input.required,h.altInput.tabIndex=h.input.tabIndex,h.altInput.type=\"text\",h.input.setAttribute(\"type\",\"hidden\"),!h.config.static&&h.input.parentNode&&h.input.parentNode.insertBefore(h.altInput,h.input.nextSibling)),h.config.allowInput||h._input.setAttribute(\"readonly\",\"readonly\"),h._positionElement=h.config.positionElement||h._input):h.config.errorHandler(new Error(\"Invalid input element specified\")),function(){h.selectedDates=[],h.now=h.parseDate(h.config.now)||new Date;var e=h.config.defaultDate||(\"INPUT\"!==h.input.nodeName&&\"TEXTAREA\"!==h.input.nodeName||!h.input.placeholder||h.input.value!==h.input.placeholder?h.input.value:null);e&&se(e,h.config.dateFormat),h._initialDate=h.selectedDates.length>0?h.selectedDates[0]:h.config.minDate&&h.config.minDate.getTime()>h.now.getTime()?h.config.minDate:h.config.maxDate&&h.config.maxDate.getTime()<h.now.getTime()?h.config.maxDate:h.now,h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth(),h.selectedDates.length>0&&(h.latestSelectedDateObj=h.selectedDates[0]),void 0!==h.config.minTime&&(h.config.minTime=h.parseDate(h.config.minTime,\"H:i\")),void 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e=window.document.createDocumentFragment();if(h.calendarContainer=d(\"div\",\"flatpickr-calendar\"),h.calendarContainer.tabIndex=-1,!h.config.noCalendar){if(e.appendChild((h.monthNav=d(\"div\",\"flatpickr-months\"),h.yearElements=[],h.monthElements=[],h.prevMonthNav=d(\"span\",\"flatpickr-prev-month\"),h.prevMonthNav.innerHTML=h.config.prevArrow,h.nextMonthNav=d(\"span\",\"flatpickr-next-month\"),h.nextMonthNav.innerHTML=h.config.nextArrow,K(),Object.defineProperty(h,\"_hidePrevMonthArrow\",{get:function(){return h.__hidePrevMonthArrow},set:function(e){h.__hidePrevMonthArrow!==e&&(c(h.prevMonthNav,\"flatpickr-disabled\",e),h.__hidePrevMonthArrow=e)}}),Object.defineProperty(h,\"_hideNextMonthArrow\",{get:function(){return 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width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(0, 0, 0, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: transparent;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: transparent;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: transparent;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: transparent;\\n  color: rgba(0, 0, 0, 0.54);\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #e6e6e6;\\n  box-shadow: -1px 0 0 #e6e6e6;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #393939;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e6e6e6;\\n  border-color: #e6e6e6;\\n}\\n.flatpickr-day.today {\\n  border-color: #959ea9;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #959ea9;\\n  background: #959ea9;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #569ff7;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #569ff7;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #569ff7;\\n  box-shadow: -10px 0 0 #569ff7;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(57, 57, 57, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n  box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  -webkit-box-shadow: 1px 0 0 #e6e6e6;\\n  box-shadow: 1px 0 0 #e6e6e6;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #393939;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #393939;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #393939;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #393939;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eee;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n.flatpickr-calendar {\\n  background: transparent;\\n  opacity: 0;\\n  display: none;\\n  text-align: center;\\n  visibility: hidden;\\n  padding: 0;\\n  -webkit-animation: none;\\n  animation: none;\\n  direction: ltr;\\n  border: 0;\\n  font-size: 14px;\\n  line-height: 24px;\\n  border-radius: 5px;\\n  position: absolute;\\n  width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -ms-touch-action: manipulation;\\n  touch-action: manipulation;\\n  -webkit-box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n  box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n}\\n.flatpickr-calendar.open,\\n.flatpickr-calendar.inline {\\n  opacity: 1;\\n  max-height: 640px;\\n  visibility: visible;\\n}\\n.flatpickr-calendar.open {\\n  display: inline-block;\\n  z-index: 99999;\\n}\\n.flatpickr-calendar.animate.open {\\n  -webkit-animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n  animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n}\\n.flatpickr-calendar.inline {\\n  display: block;\\n  position: relative;\\n  top: 2px;\\n}\\n.flatpickr-calendar.static {\\n  position: absolute;\\n  top: calc(100% + 2px);\\n}\\n.flatpickr-calendar.static.open {\\n  z-index: 999;\\n  display: block;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+1) .flatpickr-day.inRange:nth-child(7n+7) {\\n  -webkit-box-shadow: none !important;\\n  box-shadow: none !important;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+2) .flatpickr-day.inRange:nth-child(7n+1) {\\n  -webkit-box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer,\\n.flatpickr-calendar .hasTime .dayContainer {\\n  border-bottom: 0;\\n  border-bottom-right-radius: 0;\\n  border-bottom-left-radius: 0;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer {\\n  border-left: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  height: 40px;\\n  border-top: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-innerContainer {\\n  border-bottom: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  border: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.noCalendar.hasTime .flatpickr-time {\\n  height: auto;\\n}\\n.flatpickr-calendar:before,\\n.flatpickr-calendar:after {\\n  position: absolute;\\n  display: block;\\n  pointer-events: none;\\n  border: solid transparent;\\n  content: \\'\\';\\n  height: 0;\\n  width: 0;\\n  left: 22px;\\n}\\n.flatpickr-calendar.rightMost:before,\\n.flatpickr-calendar.rightMost:after {\\n  left: auto;\\n  right: 22px;\\n}\\n.flatpickr-calendar:before {\\n  border-width: 5px;\\n  margin: 0 -5px;\\n}\\n.flatpickr-calendar:after {\\n  border-width: 4px;\\n  margin: 0 -4px;\\n}\\n.flatpickr-calendar.arrowTop:before,\\n.flatpickr-calendar.arrowTop:after {\\n  bottom: 100%;\\n}\\n.flatpickr-calendar.arrowTop:before {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowTop:after {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:before,\\n.flatpickr-calendar.arrowBottom:after {\\n  top: 100%;\\n}\\n.flatpickr-calendar.arrowBottom:before {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:after {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar:focus {\\n  outline: 0;\\n}\\n.flatpickr-wrapper {\\n  position: relative;\\n  display: inline-block;\\n}\\n.flatpickr-months {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-months .flatpickr-month {\\n  border-radius: 5px 5px 0 0;\\n  background: #eceef1;\\n  color: #5a6171;\\n  fill: #5a6171;\\n  height: 34px;\\n  line-height: 1;\\n  text-align: center;\\n  position: relative;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  overflow: hidden;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\n.flatpickr-months .flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month {\\n  text-decoration: none;\\n  cursor: pointer;\\n  position: absolute;\\n  top: 0;\\n  height: 34px;\\n  padding: 10px;\\n  z-index: 3;\\n  color: #5a6171;\\n  fill: #5a6171;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-disabled,\\n.flatpickr-months .flatpickr-next-month.flatpickr-disabled {\\n  display: none;\\n}\\n.flatpickr-months .flatpickr-prev-month i,\\n.flatpickr-months .flatpickr-next-month i {\\n  position: relative;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-prev-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  left: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month.flatpickr-next-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-next-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  right: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month:hover,\\n.flatpickr-months .flatpickr-next-month:hover {\\n  color: #bbb;\\n}\\n.flatpickr-months .flatpickr-prev-month:hover svg,\\n.flatpickr-months .flatpickr-next-month:hover svg {\\n  fill: #f64747;\\n}\\n.flatpickr-months .flatpickr-prev-month svg,\\n.flatpickr-months .flatpickr-next-month svg {\\n  width: 14px;\\n  height: 14px;\\n}\\n.flatpickr-months .flatpickr-prev-month svg path,\\n.flatpickr-months .flatpickr-next-month svg path {\\n  -webkit-transition: fill 0.1s;\\n  transition: fill 0.1s;\\n  fill: inherit;\\n}\\n.numInputWrapper {\\n  position: relative;\\n  height: auto;\\n}\\n.numInputWrapper input,\\n.numInputWrapper span {\\n  display: inline-block;\\n}\\n.numInputWrapper input {\\n  width: 100%;\\n}\\n.numInputWrapper input::-ms-clear {\\n  display: none;\\n}\\n.numInputWrapper input::-webkit-outer-spin-button,\\n.numInputWrapper input::-webkit-inner-spin-button {\\n  margin: 0;\\n  -webkit-appearance: none;\\n}\\n.numInputWrapper span {\\n  position: absolute;\\n  right: 0;\\n  width: 14px;\\n  padding: 0 4px 0 2px;\\n  height: 50%;\\n  line-height: 50%;\\n  opacity: 0;\\n  cursor: pointer;\\n  border: 1px solid rgba(72, 72, 72, 0.15);\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.numInputWrapper span:hover {\\n  background: rgba(0, 0, 0, 0.1);\\n}\\n.numInputWrapper span:active {\\n  background: rgba(0, 0, 0, 0.2);\\n}\\n.numInputWrapper span:after {\\n  display: block;\\n  content: \"\";\\n  position: absolute;\\n}\\n.numInputWrapper span.arrowUp {\\n  top: 0;\\n  border-bottom: 0;\\n}\\n.numInputWrapper span.arrowUp:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-bottom: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 26%;\\n}\\n.numInputWrapper span.arrowDown {\\n  top: 50%;\\n}\\n.numInputWrapper span.arrowDown:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-top: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 40%;\\n}\\n.numInputWrapper span svg {\\n  width: inherit;\\n  height: auto;\\n}\\n.numInputWrapper span svg path {\\n  fill: rgba(90, 97, 113, 0.5);\\n}\\n.numInputWrapper:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.numInputWrapper:hover span {\\n  opacity: 1;\\n}\\n.flatpickr-current-month {\\n  font-size: 135%;\\n  line-height: inherit;\\n  font-weight: 300;\\n  color: inherit;\\n  position: absolute;\\n  width: 75%;\\n  left: 12.5%;\\n  padding: 7.48px 0 0 0;\\n  line-height: 1;\\n  height: 34px;\\n  display: inline-block;\\n  text-align: center;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n}\\n.flatpickr-current-month span.cur-month {\\n  font-family: inherit;\\n  font-weight: 700;\\n  color: inherit;\\n  display: inline-block;\\n  margin-left: 0.5ch;\\n  padding: 0;\\n}\\n.flatpickr-current-month span.cur-month:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .numInputWrapper {\\n  width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #5a6171;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: #5a6171;\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(90, 97, 113, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: #eceef1;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: #eceef1;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: #eceef1;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: #eceef1;\\n  color: #5a6171;\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n  border-left: 1px solid #eceef1;\\n  border-right: 1px solid #eceef1;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #eceef1;\\n  box-shadow: -1px 0 0 #eceef1;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #484848;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e2e2e2;\\n  border-color: #e2e2e2;\\n}\\n.flatpickr-day.today {\\n  border-color: #bbb;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #bbb;\\n  background: #bbb;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #ff5a5f;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #ff5a5f;\\n  box-shadow: -10px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n  box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(72, 72, 72, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n  box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  border-left: 1px solid #eceef1;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  background: #fff;\\n  border-bottom: 1px solid #eceef1;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  background: #fff;\\n  border-radius: 0 0 5px 5px;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #484848;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #484848;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #484848;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #484848;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eaeaea;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\nspan.flatpickr-day.selected {\\n  font-weight: bold;\\n}\\n'},\n      410: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(1).__importDefault(e(159)),r=e(411);class n extends r.AbstractRangeSliderView{}a.DateRangeSliderView=n,n.__name__=\"DateRangeSliderView\";class d extends r.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_DateRangeSlider(){this.prototype.default_view=n,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return i.default(e,t)}}a.DateRangeSlider=d,d.__name__=\"DateRangeSlider\",d.init_DateRangeSlider()},\n      411: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=i.__importStar(e(412)),r=i.__importStar(e(18)),o=e(68),n=e(9),a=e(393),d=e(413),h=e(400),_=i.__importDefault(e(414)),c=i.__importDefault(e(415));class u extends a.ControlView{*controls(){yield this.slider_el}get noUiSlider(){return this.slider_el.noUiSlider}connect_signals(){super.connect_signals();const{direction:e,orientation:t,tooltips:s}=this.model.properties;this.on_change([e,t,s],()=>this.render());const{start:i,end:l,value:r,step:o,title:n}=this.model.properties;this.on_change([i,l,r,o],()=>{const{start:e,end:t,value:s,step:i}=this._calc_to();this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i})});const{bar_color:a}=this.model.properties;this.on_change(a,()=>{this._set_bar_color()});const{show_value:d}=this.model.properties;this.on_change([r,n,d],()=>this._update_title())}styles(){return[...super.styles(),_.default,c.default]}_update_title(){o.empty(this.title_el);const e=null==this.model.title||0==this.model.title.length&&!this.model.show_value;if(this.title_el.style.display=e?\"none\":\"\",!e&&(0!=this.model.title.length&&(this.title_el.textContent=this.model.title+\": \"),this.model.show_value)){const{value:e}=this._calc_to(),t=e.map(e=>this.model.pretty(e)).join(\" .. \");this.title_el.appendChild(o.span({class:d.bk_slider_value},t))}}_set_bar_color(){if(!this.model.disabled){this.slider_el.querySelector(\".noUi-connect\").style.backgroundColor=this.model.bar_color}}_keypress_handle(e,t=0){const{start:s,value:i,end:l,step:r}=this._calc_to(),o=2==i.length;let n=s,a=l;switch(o&&0==t?a=i[1]:o&&1==t&&(n=i[0]),e.which){case 37:i[t]=Math.max(i[t]-r,n);break;case 39:i[t]=Math.min(i[t]+r,a);break;default:return}this.model.value=o?i:i[0],this.model.properties.value.change.emit(),this.model.value_throttled=this.model.value,this.noUiSlider.set(i)}render(){super.render();const{start:e,end:t,value:s,step:i}=this._calc_to();let r;if(this.model.tooltips){const e={to:e=>this.model.pretty(e)};r=n.repeat(e,s.length)}else r=!1;if(null==this.slider_el){this.slider_el=o.div(),l.create(this.slider_el,{range:{min:e,max:t},start:s,step:i,behaviour:this.model.behaviour,connect:this.model.connected,tooltips:r,orientation:this.model.orientation,direction:this.model.direction}),this.noUiSlider.on(\"slide\",(e,t,s)=>this._slide(s)),this.noUiSlider.on(\"change\",(e,t,s)=>this._change(s)),this._set_keypress_handles();const n=(e,t)=>{if(!r)return;this.slider_el.querySelectorAll(\".noUi-handle\")[e].querySelector(\".noUi-tooltip\").style.display=t?\"block\":\"\"};this.noUiSlider.on(\"start\",(e,t)=>n(t,!0)),this.noUiSlider.on(\"end\",(e,t)=>n(t,!1))}else this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i});this._set_bar_color(),this.model.disabled?this.slider_el.setAttribute(\"disabled\",\"true\"):this.slider_el.removeAttribute(\"disabled\"),this.title_el=o.div({class:d.bk_slider_title}),this._update_title(),this.group_el=o.div({class:h.bk_input_group},this.title_el,this.slider_el),this.el.appendChild(this.group_el)}_slide(e){this.model.value=this._calc_from(e)}_change(e){this.model.value=this._calc_from(e),this.model.value_throttled=this.model.value}}u.__name__=\"AbstractBaseSliderView\";class m extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:[this.model.value],step:this.model.step}}_calc_from([e]){return Number.isInteger(this.model.start)&&Number.isInteger(this.model.end)&&Number.isInteger(this.model.step)?Math.round(e):e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e))}}s.AbstractSliderView=m,m.__name__=\"AbstractSliderView\";class p extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:this.model.value,step:this.model.step}}_calc_from(e){return e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle-lower\"),t=this.slider_el.querySelector(\".noUi-handle-upper\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e,0)),t.setAttribute(\"tabindex\",\"1\"),t.addEventListener(\"keydown\",e=>this._keypress_handle(e,1))}}s.AbstractRangeSliderView=p,p.__name__=\"AbstractRangeSliderView\";class b extends a.Control{constructor(e){super(e),this.connected=!1}static init_AbstractSlider(){this.define({title:[r.String,\"\"],show_value:[r.Boolean,!0],start:[r.Any],end:[r.Any],value:[r.Any],value_throttled:[r.Any],step:[r.Number,1],format:[r.Any],direction:[r.Any,\"ltr\"],tooltips:[r.Boolean,!0],bar_color:[r.Color,\"#e6e6e6\"]})}_formatter(e,t){return\"\"+e}pretty(e){return this._formatter(e,this.format)}}s.AbstractSlider=b,b.__name__=\"AbstractSlider\",b.init_AbstractSlider()},\n      412: function _(t,e,r){\n      /*! nouislider - 14.5.0 - 5/11/2020 */\n      var n;n=function(){\"use strict\";var t=\"14.5.0\";function e(t){t.parentElement.removeChild(t)}function r(t){return null!=t}function n(t){t.preventDefault()}function i(t){return\"number\"==typeof t&&!isNaN(t)&&isFinite(t)}function o(t,e,r){r>0&&(u(t,e),setTimeout((function(){c(t,e)}),r))}function s(t){return Math.max(Math.min(t,100),0)}function a(t){return Array.isArray(t)?t:[t]}function l(t){var e=(t=String(t)).split(\".\");return e.length>1?e[1].length:0}function 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.noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(50%, 0);\\n  transform: translate(50%, 0);\\n  left: auto;\\n  bottom: 10px;\\n}\\n.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(0, -18px);\\n  transform: translate(0, -18px);\\n  top: auto;\\n  right: 28px;\\n}\\n.bk-root .noUi-handle {\\n  cursor: grab;\\n  cursor: -webkit-grab;\\n}\\n.bk-root .noUi-handle.noUi-active {\\n  cursor: grabbing;\\n  cursor: -webkit-grabbing;\\n}\\n.bk-root .noUi-handle:after,\\n.bk-root .noUi-handle:before {\\n  display: none;\\n}\\n.bk-root .noUi-tooltip {\\n  display: none;\\n  white-space: nowrap;\\n}\\n.bk-root .noUi-handle:hover .noUi-tooltip {\\n  display: block;\\n}\\n.bk-root .noUi-horizontal {\\n  width: 100%;\\n  height: 10px;\\n}\\n.bk-root .noUi-vertical {\\n  width: 10px;\\n  height: 100%;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n  width: 14px;\\n  height: 18px;\\n  right: -7px;\\n  top: -5px;\\n}\\n.bk-root .noUi-vertical 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n=e(1),s=e(392),o=e(291),_=e(68),d=n.__importStar(e(18)),l=e(8),r=e(146),u=e(254),c=e(255),h=n.__importDefault(e(257));class p extends s.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=_.div({class:[c.bk_caret,r.bk_down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(u.bk_dropdown_toggle),t.addEventListener(\"click\",()=>this._toggle_menu()),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map((e,t)=>{if(null==e)return _.div({class:c.bk_divider});{const i=l.isString(e)?e:e[0],n=_.div({},i);return n.addEventListener(\"click\",()=>this._item_click(t)),n}});this.menu=_.div({class:[c.bk_menu,r.bk_below]},t),this.el.appendChild(this.menu),_.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,_.display(this.menu);const e=t=>{const{target:i}=t;i instanceof 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t.clear=function(){this.element.innerHTML=\"\"},t.append=function(e){this.element.appendChild(e)},t.getChild=function(e){return this.element.querySelector(e)},t.hasChildren=function(){return this.element.hasChildNodes()},t.scrollToTop=function(){this.element.scrollTop=0},t.scrollToChildElement=function(e,t){var i=this;if(e){var n=this.element.offsetHeight,s=this.element.scrollTop+n,r=e.offsetHeight,o=e.offsetTop+r,a=t>0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),n<e&&(s=!0)):(this._scrollUp(n,4,e),n>e&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function le(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var he=function(){function e(e){var t=e.element,i=e.classNames;if(this.element=t,this.classNames=i,!(t instanceof HTMLInputElement||t instanceof HTMLSelectElement))throw new TypeError(\"Invalid element passed\");this.isDisabled=!1}var t,i,n,s=e.prototype;return s.conceal=function(){this.element.classList.add(this.classNames.input),this.element.hidden=!0,this.element.tabIndex=-1;var e=this.element.getAttribute(\"style\");e&&this.element.setAttribute(\"data-choice-orig-style\",e),this.element.setAttribute(\"data-choice\",\"active\")},s.reveal=function(){this.element.classList.remove(this.classNames.input),this.element.hidden=!1,this.element.removeAttribute(\"tabindex\");var e=this.element.getAttribute(\"data-choice-orig-style\");e?(this.element.removeAttribute(\"data-choice-orig-style\"),this.element.setAttribute(\"style\",e)):this.element.removeAttribute(\"style\"),this.element.removeAttribute(\"data-choice\"),this.element.value=this.element.value},s.enable=function(){this.element.removeAttribute(\"disabled\"),this.element.disabled=!1,this.isDisabled=!1},s.disable=function(){this.element.setAttribute(\"disabled\",\"\"),this.element.disabled=!0,this.isDisabled=!0},s.triggerEvent=function(e,t){!function(e,t,i){void 0===i&&(i=null);var n=new CustomEvent(t,{detail:i,bubbles:!0,cancelable:!0});e.dispatchEvent(n)}(this.element,e,t)},t=e,(i=[{key:\"isActive\",get:function(){return\"active\"===this.element.dataset.choice}},{key:\"dir\",get:function(){return this.element.dir}},{key:\"value\",get:function(){return this.element.value},set:function(e){this.element.value=e}}])&&le(t.prototype,i),n&&le(t,n),e}();function ue(e,t){for(var i=0;i<t.length;i++){var 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i=e.group,n=e.groupHeading,s=e.itemDisabled,r=t.id,o=t.value,a=t.disabled,c=Object.assign(document.createElement(\"div\"),{className:i+\" \"+(a?s:\"\")});return c.setAttribute(\"role\",\"group\"),Object.assign(c.dataset,{group:\"\",id:r,value:o}),a&&c.setAttribute(\"aria-disabled\",\"true\"),c.appendChild(Object.assign(document.createElement(\"div\"),{className:n,innerHTML:o})),c},choice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.itemSelectable,o=e.selectedState,a=e.itemDisabled,c=e.placeholder,l=t.id,h=t.value,u=t.label,d=t.groupId,p=t.elementId,m=t.disabled,f=t.selected,v=t.placeholder,g=Object.assign(document.createElement(\"div\"),{id:p,innerHTML:u,className:n+\" \"+s});return 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a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},ve=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ge=function(e,t){return{type:$,id:e,highlighted:t}},_e=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},be=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function ye(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var Ee=\"-ms-scroll-limit\"in document.documentElement.style&&\"-ms-ime-align\"in document.documentElement.style,Ie={},Se=function(){var e,t,i;function n(e,t){var i=this;void 0===e&&(e=\"[data-choice]\"),void 0===t&&(t={}),this.config=o.a.all([P,n.defaults.options,t],{arrayMerge:function(e,t){return[].concat(t)}});var s,r,a,c,l=(s=this.config,r=P,a=Object.keys(s).sort(),c=Object.keys(r).sort(),a.filter((function(e){return c.indexOf(e)<0})));l.length&&console.warn(\"Unknown config option(s) passed\",l.join(\", \"));var h=\"string\"==typeof e?document.querySelector(e):e;if(!(h instanceof HTMLInputElement||h instanceof HTMLSelectElement))throw TypeError(\"Expected one of the following types text|select-one|select-multiple\");if(this._isTextElement=\"text\"===h.type,this._isSelectOneElement=\"select-one\"===h.type,this._isSelectMultipleElement=\"select-multiple\"===h.type,this._isSelectElement=this._isSelectOneElement||this._isSelectMultipleElement,this.config.searchEnabled=this._isSelectMultipleElement||this.config.searchEnabled,[\"auto\",\"always\"].includes(this.config.renderSelectedChoices)||(this.config.renderSelectedChoices=\"auto\"),t.addItemFilter&&\"function\"!=typeof t.addItemFilter){var u=t.addItemFilter instanceof RegExp?t.addItemFilter:new RegExp(t.addItemFilter);this.config.addItemFilter=u.test.bind(u)}if(this._isTextElement?this.passedElement=new de({element:h,classNames:this.config.classNames,delimiter:this.config.delimiter}):this.passedElement=new me({element:h,classNames:this.config.classNames,template:function(e){return i._templates.option(e)}}),this.initialised=!1,this._store=new T,this._initialState={},this._currentState={},this._prevState={},this._currentValue=\"\",this._canSearch=this.config.searchEnabled,this._isScrollingOnIe=!1,this._highlightPosition=0,this._wasTap=!0,this._placeholderValue=this._generatePlaceholderValue(),this._baseId=function(e,t){var i=e.id||e.name&&e.name+\"-\"+b(2)||b(4);return i=t+\"-\"+(i=i.replace(/(:|\\.|\\[|\\]|,)/g,\"\"))}(this.passedElement.element,\"choices-\"),this._direction=this.passedElement.dir,!this._direction){var d=window.getComputedStyle(this.passedElement.element).direction;d!==window.getComputedStyle(document.documentElement).direction&&(this._direction=d)}if(this._idNames={itemChoice:\"item-choice\"},this._presetGroups=this.passedElement.optionGroups,this._presetOptions=this.passedElement.options,this._presetChoices=this.config.choices,this._presetItems=this.config.items,this.passedElement.value&&(this._presetItems=this._presetItems.concat(this.passedElement.value.split(this.config.delimiter))),this.passedElement.options&&this.passedElement.options.forEach((function(e){i._presetChoices.push({value:e.value,label:e.innerHTML,selected:e.selected,disabled:e.disabled||e.parentNode.disabled,placeholder:\"\"===e.value||e.hasAttribute(\"placeholder\"),customProperties:e.getAttribute(\"data-custom-properties\")})})),this._render=this._render.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this),this._onKeyUp=this._onKeyUp.bind(this),this._onKeyDown=this._onKeyDown.bind(this),this._onClick=this._onClick.bind(this),this._onTouchMove=this._onTouchMove.bind(this),this._onTouchEnd=this._onTouchEnd.bind(this),this._onMouseDown=this._onMouseDown.bind(this),this._onMouseOver=this._onMouseOver.bind(this),this._onFormReset=this._onFormReset.bind(this),this._onAKey=this._onAKey.bind(this),this._onEnterKey=this._onEnterKey.bind(this),this._onEscapeKey=this._onEscapeKey.bind(this),this._onDirectionKey=this._onDirectionKey.bind(this),this._onDeleteKey=this._onDeleteKey.bind(this),this.passedElement.isActive)return this.config.silent||console.warn(\"Trying to initialise Choices on element already initialised\"),void(this.initialised=!0);this.init()}e=n,i=[{key:\"defaults\",get:function(){return Object.preventExtensions({get options(){return Ie},get templates(){return fe}})}}],(t=null)&&ye(e.prototype,t),i&&ye(e,i);var r=n.prototype;return r.init=function(){if(!this.initialised){this._createTemplates(),this._createElements(),this._createStructure(),this._initialState=O(this._store.state),this._store.subscribe(this._render),this._render(),this._addEventListeners(),(!this.config.addItems||this.passedElement.element.hasAttribute(\"disabled\"))&&this.disable(),this.initialised=!0;var e=this.config.callbackOnInit;e&&\"function\"==typeof e&&e.call(this)}},r.destroy=function(){this.initialised&&(this._removeEventListeners(),this.passedElement.reveal(),this.containerOuter.unwrap(this.passedElement.element),this.clearStore(),this._isSelectElement&&(this.passedElement.options=this._presetOptions),this._templates=null,this.initialised=!1)},r.enable=function(){return this.passedElement.isDisabled&&this.passedElement.enable(),this.containerOuter.isDisabled&&(this._addEventListeners(),this.input.enable(),this.containerOuter.enable()),this},r.disable=function(){return this.passedElement.isDisabled||this.passedElement.disable(),this.containerOuter.isDisabled||(this._removeEventListeners(),this.input.disable(),this.containerOuter.disable()),this},r.highlightItem=function(e,t){if(void 0===t&&(t=!0),!e)return this;var i=e.id,n=e.groupId,s=void 0===n?-1:n,r=e.value,o=void 0===r?\"\":r,a=e.label,c=void 0===a?\"\":a,l=s>=0?this._store.getGroupById(s):null;return this._store.dispatch(ge(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ge(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(ve(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v<m;v+=1)f[v]&&l(f[v]);return t},r._createItemsFragment=function(e,t){var i=this;void 0===t&&(t=document.createDocumentFragment());var n=this.config,s=n.shouldSortItems,r=n.sorter,o=n.removeItemButton;return s&&!this._isSelectOneElement&&e.sort(r),this._isTextElement?this.passedElement.value=e:this.passedElement.options=e,e.forEach((function(e){var n=i._getTemplate(\"item\",e,o);t.appendChild(n)})),t},r._triggerChange=function(e){null!=e&&this.passedElement.triggerEvent(N,{value:e})},r._selectPlaceholderChoice=function(){var e=this._store.placeholderChoice;e&&(this._addItem({value:e.value,label:e.label,choiceId:e.id,groupId:e.groupId,placeholder:e.placeholder}),this._triggerChange(e.value))},r._handleButtonAction=function(e,t){if(e&&t&&this.config.removeItems&&this.config.removeItemButton){var i=t.parentNode.getAttribute(\"data-id\"),n=e.find((function(e){return e.id===parseInt(i,10)}));this._removeItem(n),this._triggerChange(n.value),this._isSelectOneElement&&this._selectPlaceholderChoice()}},r._handleItemAction=function(e,t,i){var n=this;if(void 0===i&&(i=!1),e&&t&&this.config.removeItems&&!this._isSelectOneElement){var s=t.getAttribute(\"data-id\");e.forEach((function(e){e.id!==parseInt(s,10)||e.highlighted?!i&&e.highlighted&&n.unhighlightItem(e):n.highlightItem(e)})),this.input.focus()}},r._handleChoiceAction=function(e,t){if(e&&t){var i=t.dataset.id,n=this._store.getChoiceById(i);if(n){var s=e[0]&&e[0].keyCode?e[0].keyCode:null,r=this.dropdown.isActive;n.keyCode=s,this.passedElement.triggerEvent(F,{choice:n}),n.selected||n.disabled||this._canAddItem(e,n.value).response&&(this._addItem({value:n.value,label:n.label,choiceId:n.id,groupId:n.groupId,customProperties:n.customProperties,placeholder:n.placeholder,keyCode:n.keyCode}),this._triggerChange(n.value)),this.clearInput(),r&&this._isSelectOneElement&&(this.hideDropdown(!0),this.containerOuter.focus())}}},r._handleBackspace=function(e){if(this.config.removeItems&&e){var t=e[e.length-1],i=e.some((function(e){return e.highlighted}));this.config.editItems&&!i&&t?(this.input.value=t.value,this.input.setWidth(),this._removeItem(t),this._triggerChange(t.value)):(i||this.highlightItem(t,!1),this.removeHighlightedItems(!0))}},r._startLoading=function(){this._store.dispatch(be(!0))},r._stopLoading=function(){this._store.dispatch(be(!1))},r._handleLoadingState=function(e){void 0===e&&(e=!0);var t=this.itemList.getChild(\".\"+this.config.classNames.placeholder);e?(this.disable(),this.containerOuter.addLoadingState(),this._isSelectOneElement?t?t.innerHTML=this.config.loadingText:(t=this._getTemplate(\"placeholder\",this.config.loadingText),this.itemList.append(t)):this.input.placeholder=this.config.loadingText):(this.enable(),this.containerOuter.removeLoadingState(),this._isSelectOneElement?t.innerHTML=this._placeholderValue||\"\":this.input.placeholder=this._placeholderValue||\"\")},r._handleSearch=function(e){if(e&&this.input.isFocussed){var t=this._store.choices,i=this.config,n=i.searchFloor,s=i.searchChoices,r=t.some((function(e){return!e.active}));if(e&&e.length>=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(ve(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(ve(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1;if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(\"[data-choice-selectable]\");else{var p=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=p?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(p,\"[data-choice-selectable]\",d):this.dropdown.element.querySelector(\"[data-choice-selectable]\")}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(Ee&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX<i.offsetLeft;this._isScrollingOnIe=n}if(t!==this.input.element){var s=t.closest(\"[data-button],[data-item],[data-choice]\");if(s instanceof HTMLElement){var r=e.shiftKey,o=this._store.activeItems,a=s.dataset;\"button\"in a?this._handleButtonAction(o,s):\"item\"in a?this._handleItemAction(o,s,r):\"choice\"in a&&this._handleChoiceAction(o,s)}e.preventDefault()}}},r._onMouseOver=function(e){var t=e.target;t instanceof HTMLElement&&\"choice\"in t.dataset&&this._highlightChoice(t)},r._onClick=function(e){var t=e.target;this.containerOuter.element.contains(t)?this.dropdown.isActive||this.containerOuter.isDisabled?this._isSelectOneElement&&t!==this.input.element&&!this.dropdown.element.contains(t)&&this.hideDropdown():this._isTextElement?document.activeElement!==this.input.element&&this.input.focus():(this.showDropdown(),this.containerOuter.focus()):(this._store.highlightedActiveItems.length>0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(_e({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(_e({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r<n;r++)s[r-1]=arguments[r];return(t=this._templates[e]).call.apply(t,[this,i].concat(s))},r._createTemplates=function(){var e=this.config.callbackOnCreateTemplates,t={};e&&\"function\"==typeof e&&(t=e.call(this,S)),this._templates=o()(fe,t)},r._createElements=function(){this.containerOuter=new re({element:this._getTemplate(\"containerOuter\",this._direction,this._isSelectElement,this._isSelectOneElement,this.config.searchEnabled,this.passedElement.element.type),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.containerInner=new re({element:this._getTemplate(\"containerInner\"),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.input=new ae({element:this._getTemplate(\"input\",this._placeholderValue),classNames:this.config.classNames,type:this.passedElement.element.type,preventPaste:!this.config.paste}),this.choiceList=new ce({element:this._getTemplate(\"choiceList\",this._isSelectOneElement)}),this.itemList=new ce({element:this._getTemplate(\"itemList\",this._isSelectOneElement)}),this.dropdown=new k({element:this._getTemplate(\"dropdown\"),classNames:this.config.classNames,type:this.passedElement.element.type})},r._createStructure=function(){this.passedElement.conceal(),this.containerInner.wrap(this.passedElement.element),this.containerOuter.wrap(this.containerInner.element),this._isSelectOneElement?this.input.placeholder=this.config.searchPlaceholderValue||\"\":this._placeholderValue&&(this.input.placeholder=this._placeholderValue,this.input.setWidth()),this.containerOuter.element.appendChild(this.containerInner.element),this.containerOuter.element.appendChild(this.dropdown.element),this.containerInner.element.appendChild(this.itemList.element),this._isTextElement||this.dropdown.element.appendChild(this.choiceList.element),this._isSelectOneElement?this.config.searchEnabled&&this.dropdown.element.insertBefore(this.input.element,this.dropdown.element.firstChild):this.containerInner.element.appendChild(this.input.element),this._isSelectElement&&(this._highlightPosition=0,this._isSearching=!1,this._startLoading(),this._presetGroups.length?this._addPredefinedGroups(this._presetGroups):this._addPredefinedChoices(this._presetChoices),this._stopLoading()),this._isTextElement&&this._addPredefinedItems(this._presetItems)},r._addPredefinedGroups=function(e){var t=this,i=this.passedElement.placeholderOption;i&&\"SELECT\"===i.parentNode.tagName&&this._addChoice({value:i.value,label:i.innerHTML,isSelected:i.selected,isDisabled:i.disabled,placeholder:!0}),e.forEach((function(e){return t._addGroup({group:e,id:e.id||null})}))},r._addPredefinedChoices=function(e){var t=this;this.config.shouldSort&&e.sort(this.config.sorter);var i=e.some((function(e){return e.selected})),n=e.findIndex((function(e){return void 0===e.disabled||!e.disabled}));e.forEach((function(e,s){var r=e.value,o=e.label,a=e.customProperties,c=e.placeholder;if(t._isSelectElement)if(e.choices)t._addGroup({group:e,id:e.id||null});else{var l=!(!t._isSelectOneElement||i||s!==n)||e.selected,h=e.disabled;t._addChoice({value:r,label:o,isSelected:l,isDisabled:h,customProperties:a,placeholder:c})}else t._addChoice({value:r,label:o,isSelected:e.selected,isDisabled:e.disabled,customProperties:a,placeholder:c})}))},r._addPredefinedItems=function(e){var t=this;e.forEach((function(e){\"object\"==typeof e&&e.value&&t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}),\"string\"==typeof e&&t._addItem({value:e})}))},r._setChoiceOrItem=function(e){var t=this;({object:function(){e.value&&(t._isTextElement?t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}):t._addChoice({value:e.value,label:e.label,isSelected:!0,isDisabled:!1,customProperties:e.customProperties,placeholder:e.placeholder}))},string:function(){t._isTextElement?t._addItem({value:e}):t._addChoice({value:e,label:e,isSelected:!0,isDisabled:!1})}})[y(e).toLowerCase()]()},r._findAndSelectChoiceByValue=function(e){var t=this,i=this._store.choices.find((function(i){return t.config.valueComparer(i.value,e)}));i&&!i.selected&&this._addItem({value:i.value,label:i.label,choiceId:i.id,groupId:i.groupId,customProperties:i.customProperties,placeholder:i.placeholder,keyCode:i.keyCode})},r._generatePlaceholderValue=function(){if(this._isSelectElement){var e=this.passedElement.placeholderOption;return!!e&&e.text}var t=this.config,i=t.placeholder,n=t.placeholderValue,s=this.passedElement.element.dataset;if(i){if(n)return n;if(s.placeholder)return s.placeholder}return!1},n}();t.default=Se}]).default},\"object\"==typeof i&&\"object\"==typeof t?t.exports=s():\"function\"==typeof define&&define.amd?define([],s):\"object\"==typeof i?i.Choices=s():n.Choices=s()},\n      428: function _(n,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});e.default=\"\\n.bk-root {\\n  /*===============================\\n=            Choices            =\\n===============================*/\\n  /*=====  End of Choices  ======*/\\n}\\n.bk-root .choices {\\n  position: relative;\\n  margin-bottom: 24px;\\n  font-size: 16px;\\n}\\n.bk-root .choices:focus {\\n  outline: none;\\n}\\n.bk-root .choices:last-child {\\n  margin-bottom: 0;\\n}\\n.bk-root .choices.is-disabled .choices__inner,\\n.bk-root .choices.is-disabled .choices__input {\\n  background-color: #eaeaea;\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n}\\n.bk-root .choices.is-disabled .choices__item {\\n  cursor: not-allowed;\\n}\\n.bk-root .choices [hidden] {\\n  display: none !important;\\n}\\n.bk-root .choices[data-type*='select-one'] {\\n  cursor: pointer;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__inner {\\n  padding-bottom: 7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__input {\\n  display: block;\\n  width: 100%;\\n  padding: 10px;\\n  border-bottom: 1px solid #dddddd;\\n  background-color: #ffffff;\\n  margin: 0;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDAwIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  padding: 0;\\n  background-size: 8px;\\n  position: absolute;\\n  top: 50%;\\n  right: 0;\\n  margin-top: -10px;\\n  margin-right: 25px;\\n  height: 20px;\\n  width: 20px;\\n  border-radius: 10em;\\n  opacity: 0.5;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  box-shadow: 0px 0px 0px 2px #00bcd4;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__item[data-value=''] .choices__button {\\n  display: none;\\n}\\n.bk-root .choices[data-type*='select-one']:after {\\n  content: '';\\n  height: 0;\\n  width: 0;\\n  border-style: solid;\\n  border-color: #333333 transparent transparent transparent;\\n  border-width: 5px;\\n  position: absolute;\\n  right: 11.5px;\\n  top: 50%;\\n  margin-top: -2.5px;\\n  pointer-events: none;\\n}\\n.bk-root .choices[data-type*='select-one'].is-open:after {\\n  border-color: transparent transparent #333333 transparent;\\n  margin-top: -7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl']:after {\\n  left: 11.5px;\\n  right: auto;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl'] .choices__button {\\n  right: auto;\\n  left: 0;\\n  margin-left: 25px;\\n  margin-right: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__inner,\\n.bk-root .choices[data-type*='text'] .choices__inner {\\n  cursor: text;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button,\\n.bk-root .choices[data-type*='text'] .choices__button {\\n  position: relative;\\n  display: inline-block;\\n  margin-top: 0;\\n  margin-right: -4px;\\n  margin-bottom: 0;\\n  margin-left: 8px;\\n  padding-left: 16px;\\n  border-left: 1px solid #008fa1;\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjRkZGIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  background-size: 8px;\\n  width: 8px;\\n  line-height: 1;\\n  opacity: 0.75;\\n  border-radius: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:focus,\\n.bk-root .choices[data-type*='text'] .choices__button:hover,\\n.bk-root .choices[data-type*='text'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices__inner {\\n  display: inline-block;\\n  vertical-align: top;\\n  width: 100%;\\n  background-color: #f9f9f9;\\n  padding: 7.5px 7.5px 3.75px;\\n  border: 1px solid #dddddd;\\n  border-radius: 2.5px;\\n  font-size: 14px;\\n  min-height: 44px;\\n  overflow: hidden;\\n}\\n.bk-root .is-focused .choices__inner,\\n.bk-root .is-open .choices__inner {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-open .choices__inner {\\n  border-radius: 2.5px 2.5px 0 0;\\n}\\n.bk-root .is-flipped.is-open .choices__inner {\\n  border-radius: 0 0 2.5px 2.5px;\\n}\\n.bk-root .choices__list {\\n  margin: 0;\\n  padding-left: 0;\\n  list-style: none;\\n}\\n.bk-root .choices__list--single {\\n  display: inline-block;\\n  padding: 4px 16px 4px 4px;\\n  width: 100%;\\n}\\n.bk-root [dir='rtl'] .choices__list--single {\\n  padding-right: 4px;\\n  padding-left: 16px;\\n}\\n.bk-root .choices__list--single .choices__item {\\n  width: 100%;\\n}\\n.bk-root .choices__list--multiple {\\n  display: inline;\\n}\\n.bk-root .choices__list--multiple .choices__item {\\n  display: inline-block;\\n  vertical-align: middle;\\n  border-radius: 20px;\\n  padding: 4px 10px;\\n  font-size: 12px;\\n  font-weight: 500;\\n  margin-right: 3.75px;\\n  margin-bottom: 3.75px;\\n  background-color: #00bcd4;\\n  border: 1px solid #00a5bb;\\n  color: #ffffff;\\n  word-break: break-all;\\n  box-sizing: border-box;\\n}\\n.bk-root .choices__list--multiple .choices__item[data-deletable] {\\n  padding-right: 5px;\\n}\\n.bk-root [dir='rtl'] .choices__list--multiple .choices__item {\\n  margin-right: 0;\\n  margin-left: 3.75px;\\n}\\n.bk-root .choices__list--multiple .choices__item.is-highlighted {\\n  background-color: #00a5bb;\\n  border: 1px solid #008fa1;\\n}\\n.bk-root .is-disabled .choices__list--multiple .choices__item {\\n  background-color: #aaaaaa;\\n  border: 1px solid #919191;\\n}\\n.bk-root .choices__list--dropdown {\\n  visibility: hidden;\\n  z-index: 1;\\n  position: absolute;\\n  width: 100%;\\n  background-color: #ffffff;\\n  border: 1px solid #dddddd;\\n  top: 100%;\\n  margin-top: -1px;\\n  border-bottom-left-radius: 2.5px;\\n  border-bottom-right-radius: 2.5px;\\n  overflow: hidden;\\n  word-break: break-all;\\n  will-change: visibility;\\n}\\n.bk-root .choices__list--dropdown.is-active {\\n  visibility: visible;\\n}\\n.bk-root .is-open .choices__list--dropdown {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-flipped .choices__list--dropdown {\\n  top: auto;\\n  bottom: 100%;\\n  margin-top: 0;\\n  margin-bottom: -1px;\\n  border-radius: 0.25rem 0.25rem 0 0;\\n}\\n.bk-root .choices__list--dropdown .choices__list {\\n  position: relative;\\n  max-height: 300px;\\n  overflow: auto;\\n  -webkit-overflow-scrolling: touch;\\n  will-change: scroll-position;\\n}\\n.bk-root .choices__list--dropdown .choices__item {\\n  position: relative;\\n  padding: 10px;\\n  font-size: 14px;\\n}\\n.bk-root [dir='rtl'] .choices__list--dropdown .choices__item {\\n  text-align: right;\\n}\\n@media (min-width: 640px) {\\n  .bk-root .choices__list--dropdown .choices__item--selectable {\\n    padding-right: 100px;\\n  }\\n  .bk-root .choices__list--dropdown .choices__item--selectable:after {\\n    content: attr(data-select-text);\\n    font-size: 12px;\\n    opacity: 0;\\n    position: absolute;\\n    right: 10px;\\n    top: 50%;\\n    transform: translateY(-50%);\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable {\\n    text-align: right;\\n    padding-left: 100px;\\n    padding-right: 10px;\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable:after {\\n    right: auto;\\n    left: 10px;\\n  }\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted:after {\\n  opacity: 0.5;\\n}\\n.bk-root .choices__item {\\n  cursor: default;\\n}\\n.bk-root .choices__item--selectable {\\n  cursor: pointer;\\n}\\n.bk-root .choices__item--disabled {\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  opacity: 0.5;\\n}\\n.bk-root .choices__heading {\\n  font-weight: 600;\\n  font-size: 12px;\\n  padding: 10px;\\n  border-bottom: 1px solid #f7f7f7;\\n  color: gray;\\n}\\n.bk-root .choices__button {\\n  text-indent: -9999px;\\n  -webkit-appearance: none;\\n  -moz-appearance: none;\\n  appearance: none;\\n  border: 0;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center;\\n  cursor: pointer;\\n}\\n.bk-root .choices__button:focus {\\n  outline: none;\\n}\\n.bk-root .choices__input {\\n  display: inline-block;\\n  vertical-align: baseline;\\n  background-color: #f9f9f9;\\n  font-size: 14px;\\n  margin-bottom: 5px;\\n  border: 0;\\n  border-radius: 0;\\n  max-width: 100%;\\n  padding: 4px 0 4px 2px;\\n}\\n.bk-root .choices__input:focus {\\n  outline: 0;\\n}\\n.bk-root [dir='rtl'] .choices__input {\\n  padding-right: 2px;\\n  padding-left: 0;\\n}\\n.bk-root .choices__placeholder {\\n  opacity: 0.5;\\n}\\n.bk-root .choices {\\n  width: 100%;\\n}\\n.bk-root .choices__inner .choices__item.light {\\n  background-color: rgba(0, 126, 255, 0.08);\\n  border-radius: 5px;\\n  border: 1px solid rgba(0, 126, 255, 0.24);\\n  color: #007eff;\\n}\\n.bk-root .choices__inner .choices__item.solid {\\n  background-color: #1f77b4;\\n  border: none;\\n  border-radius: 5px;\\n  color: white;\\n}\\n.bk-root .choices__inner .choices__item.solid .is-highlighted {\\n  background-color: #1f77b4;\\n  border: none;\\n}\\n.bk-root .choices__input {\\n  background-color: transparent;\\n}\\n.bk-root .choices__inner {\\n  background: transparent;\\n  border: 1px solid darkgray;\\n  border-radius: 5px;\\n  min-height: unset;\\n}\\n.bk-root .choices__list {\\n  white-space: initial;\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.light {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDA3ZWZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.solid {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjZmZmZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  border-left: 1px solid white;\\n  opacity: 1;\\n}\\n\"},\n      429: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=e(418),i=e(68);class n extends s.MarkupView{render(){super.render();const e=i.pre({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=n,n.__name__=\"PreTextView\";class _ extends s.Markup{constructor(e){super(e)}static init_PreText(){this.prototype.default_view=n}}r.PreText=_,_.__name__=\"PreText\",_.init_PreText()},\n      430: function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(403),n=t(68),u=i.__importStar(t(18)),s=t(146);class _ extends a.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach((o,e)=>{n.classes(o).toggle(s.bk_active,t===e)})}}e.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class c extends a.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define({active:[u.Any,null]})}}e.RadioButtonGroup=c,c.__name__=\"RadioButtonGroup\",c.init_RadioButtonGroup()},\n      431: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),a=e(68),s=e(24),o=n.__importStar(e(18)),d=e(405),l=e(146),p=e(400);class r extends d.InputGroupView{render(){super.render();const e=a.div({class:[p.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const i=s.uniqueId(),{active:t,labels:n}=this.model;this._inputs=[];for(let s=0;s<n.length;s++){const o=a.input({type:\"radio\",name:i,value:\"\"+s});o.addEventListener(\"change\",()=>this.change_active(s)),this._inputs.push(o),this.model.disabled&&(o.disabled=!0),s==t&&(o.checked=!0);const d=a.label({},o,a.span({},n[s]));e.appendChild(d)}}change_active(e){this.model.active=e}}t.RadioGroupView=r,r.__name__=\"RadioGroupView\";class u extends d.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=r,this.define({active:[o.Number],labels:[o.Array,[]],inline:[o.Boolean,!1]})}}t.RadioGroup=u,u.__name__=\"RadioGroup\",u.init_RadioGroup()},\n      432: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),a=e(411),n=e(8);class o extends a.AbstractRangeSliderView{}r.RangeSliderView=o,o.__name__=\"RangeSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(e,t){return n.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.RangeSlider=s,s.__name__=\"RangeSlider\",s.init_RangeSlider()},\n      433: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(68),l=e(8),o=e(17),p=n.__importStar(e(18)),u=e(398),a=e(400);class _ extends u.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,()=>{this._update_value()}),this.on_change(t,()=>{s.empty(this.input_el),s.append(this.input_el,...this.options_el())})}options_el(){function e(e){return e.map(e=>{let t,i;return l.isString(e)?t=i=e:[t,i]=e,s.option({value:t},i)})}const{options:t}=this.model;return l.isArray(t)?e(t):o.entries(t).map(([t,i])=>s.optgroup({label:t},e(i)))}render(){super.render(),this.input_el=s.select({class:a.bk_input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;null!=e&&0!=e.length&&(this.input_el.value=this.model.value)}}i.SelectView=_,_.__name__=\"SelectView\";class h extends u.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=_,this.define({value:[p.String,\"\"],options:[p.Any,[]]})}}i.Select=h,h.__name__=\"Select\",h.init_Select()},\n      434: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),o=e(411),s=e(8);class _ extends o.AbstractSliderView{}r.SliderView=_,_.__name__=\"SliderView\";class a extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=_,this.override({format:\"0[.]00\"})}_formatter(e,t){return s.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.Slider=a,a.__name__=\"Slider\",a.init_Slider()},\n      435: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),h=n.__importStar(e(18)),o=e(400),{floor:p,max:d,min:u}=Math;function r(e){return p(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.low.change,()=>{const{low:e}=this.model;null!=e&&(this.input_el.min=e.toFixed(16))}),this.connect(this.model.properties.high.change,()=>{const{high:e}=this.model;null!=e&&(this.input_el.max=e.toFixed(16))}),this.connect(this.model.properties.step.change,()=>{const{step:e}=this.model;this.input_el.step=e.toFixed(16)}),this.connect(this.model.properties.value.change,()=>{const{value:e,step:t}=this.model;this.input_el.value=e.toFixed(r(t)).replace(/(\\.[0-9]*[1-9])0+$|\\.0*$/,\"$1\")}),this.connect(this.model.properties.disabled.change,()=>{this.input_el.disabled=this.model.disabled})}render(){super.render(),this.input_el=l.input({type:\"number\",class:o.bk_input,name:this.model.name,min:this.model.low,max:this.model.high,value:this.model.value,step:this.model.step,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){if(this.input_el.value){const{step:e}=this.model;let t=Number(this.input_el.value);null!=this.model.low&&(t=d(t,this.model.low)),null!=this.model.high&&(t=u(t,this.model.high)),this.model.value=Number(t.toFixed(r(e))),super.change_input()}}}i.SpinnerView=a,a.__name__=\"SpinnerView\";class c extends s.InputWidget{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=a,this.define({value:[h.Number,0],low:[h.Number,null],high:[h.Number,null],step:[h.Number,1]})}}i.Spinner=c,c.__name__=\"Spinner\",c.init_Spinner()},\n      436: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(398),l=e(68),h=s.__importStar(e(18)),o=e(400);class a extends n.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder),this.connect(this.model.properties.rows.change,()=>this.input_el.rows=this.model.rows),this.connect(this.model.properties.cols.change,()=>this.input_el.cols=this.model.cols),this.connect(this.model.properties.max_length.change,()=>this.input_el.maxLength=this.model.max_length)}render(){super.render(),this.input_el=l.textarea({class:o.bk_input,name:this.model.name,disabled:this.model.disabled,placeholder:this.model.placeholder,cols:this.model.cols,rows:this.model.rows,maxLength:this.model.max_length}),this.input_el.textContent=this.model.value,this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}}i.TextAreaInputView=a,a.__name__=\"TextAreaInputView\";class p extends n.InputWidget{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=a,this.define({value:[h.String,\"\"],value_input:[h.String,\"\"],placeholder:[h.String,\"\"],cols:[h.Number,20],rows:[h.Number,2],max_length:[h.Number,500]})}}i.TextAreaInput=p,p.__name__=\"TextAreaInput\",p.init_TextAreaInput()},\n      437: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),c=e(392),o=e(68),a=s.__importStar(e(18)),n=e(146);class l extends c.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._update_active())}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){o.classes(this.button_el).toggle(n.bk_active,this.model.active)}}i.ToggleView=l,l.__name__=\"ToggleView\";class _ extends c.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=l,this.define({active:[a.Boolean,!1]}),this.override({label:\"Toggle\"})}}i.Toggle=_,_.__name__=\"Toggle\",_.init_Toggle()},\n      }, 390, {\"models/widgets/main\":390,\"models/widgets/index\":391,\"models/widgets/abstract_button\":392,\"models/widgets/control\":393,\"models/widgets/widget\":458,\"models/widgets/abstract_icon\":395,\"models/widgets/autocomplete_input\":396,\"models/widgets/text_input\":397,\"models/widgets/input_widget\":398,\"styles/widgets/inputs.css\":399,\"styles/widgets/inputs\":400,\"models/widgets/button\":401,\"models/widgets/checkbox_button_group\":402,\"models/widgets/button_group\":403,\"models/widgets/checkbox_group\":404,\"models/widgets/input_group\":405,\"models/widgets/color_picker\":406,\"models/widgets/date_picker\":407,\"styles/widgets/flatpickr.css\":409,\"models/widgets/date_range_slider\":410,\"models/widgets/abstract_slider\":411,\"styles/widgets/sliders\":413,\"styles/widgets/nouislider.css\":414,\"styles/widgets/sliders.css\":415,\"models/widgets/date_slider\":416,\"models/widgets/div\":417,\"models/widgets/markup\":418,\"styles/clearfix\":419,\"styles/clearfix.css\":420,\"models/widgets/dropdown\":421,\"models/widgets/file_input\":422,\"models/widgets/multiselect\":423,\"models/widgets/paragraph\":424,\"models/widgets/password_input\":425,\"models/widgets/multichoice\":426,\"styles/widgets/choices.css\":428,\"models/widgets/pretext\":429,\"models/widgets/radio_button_group\":430,\"models/widgets/radio_group\":431,\"models/widgets/range_slider\":432,\"models/widgets/selectbox\":433,\"models/widgets/slider\":434,\"models/widgets/spinner\":435,\"models/widgets/textarea_input\":436,\"models/widgets/toggle\":437}, {});\n      })\n\n\n      /* END bokeh-widgets.min.js */\n    },\n    \n    function(Bokeh) {\n      /* BEGIN bokeh-tables.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], \"2.1.1\");\n      })(this, function(Bokeh, version) {\n        var define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      438: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(439));o.Tables=r,e(7).register_models(r)},\n      439: function _(a,g,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(1);e.__exportStar(a(440),r),e.__exportStar(a(462),r);var t=a(441);r.DataTable=t.DataTable;var o=a(465);r.TableColumn=o.TableColumn;var n=a(457);r.TableWidget=n.TableWidget;var u=a(466);r.AvgAggregator=u.AvgAggregator,r.MinAggregator=u.MinAggregator,r.MaxAggregator=u.MaxAggregator,r.SumAggregator=u.SumAggregator;var l=a(467);r.GroupingInfo=l.GroupingInfo,r.DataCube=l.DataCube},\n      440: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1).__importStar(e(18)),r=e(68),a=e(66),n=e(71),l=e(441),u=e(459);class d extends a.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(u.bk_cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",e=>{switch(e.keyCode){case r.Keys.Left:case r.Keys.Right:case r.Keys.Up:case r.Keys.Down:case r.Keys.PageUp:case r.Keys.PageDown:e.stopImmediatePropagation()}})}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[l.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=d,d.__name__=\"CellEditorView\";class o extends n.Model{}i.CellEditor=o,o.__name__=\"CellEditor\";class _ extends d{get emptyValue(){return\"\"}_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=_,_.__name__=\"StringEditorView\";class c extends o{static init_StringEditor(){this.prototype.default_view=_,this.define({completions:[s.Array,[]]})}}i.StringEditor=c,c.__name__=\"StringEditor\",c.init_StringEditor();class p extends d{_createInput(){return r.textarea()}}i.TextEditorView=p,p.__name__=\"TextEditorView\";class h extends o{static init_TextEditor(){this.prototype.default_view=p}}i.TextEditor=h,h.__name__=\"TextEditor\",h.init_TextEditor();class E extends d{_createInput(){return r.select()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild(r.option({value:e},e));this.focus()}}i.SelectEditorView=E,E.__name__=\"SelectEditorView\";class V extends o{static init_SelectEditor(){this.prototype.default_view=E,this.define({options:[s.Array,[]]})}}i.SelectEditor=V,V.__name__=\"SelectEditor\",V.init_SelectEditor();class m extends d{_createInput(){return r.input({type:\"text\"})}}i.PercentEditorView=m,m.__name__=\"PercentEditorView\";class f extends o{static init_PercentEditor(){this.prototype.default_view=m}}i.PercentEditor=f,f.__name__=\"PercentEditor\",f.init_PercentEditor();class x extends d{_createInput(){return r.input({type:\"checkbox\",value:\"true\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=x,x.__name__=\"CheckboxEditorView\";class w extends o{static init_CheckboxEditor(){this.prototype.default_view=x}}i.CheckboxEditor=w,w.__name__=\"CheckboxEditor\",w.init_CheckboxEditor();class g extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseInt(this.getValue(),10)||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=g,g.__name__=\"IntEditorView\";class v extends o{static init_IntEditor(){this.prototype.default_view=g,this.define({step:[s.Number,1]})}}i.IntEditor=v,v.__name__=\"IntEditor\",v.init_IntEditor();class y extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseFloat(this.getValue())||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=y,y.__name__=\"NumberEditorView\";class b extends o{static init_NumberEditor(){this.prototype.default_view=y,this.define({step:[s.Number,.01]})}}i.NumberEditor=b,b.__name__=\"NumberEditor\",b.init_NumberEditor();class I extends d{_createInput(){return r.input({type:\"text\"})}}i.TimeEditorView=I,I.__name__=\"TimeEditorView\";class N extends o{static init_TimeEditor(){this.prototype.default_view=I}}i.TimeEditor=N,N.__name__=\"TimeEditor\",N.init_TimeEditor();class C extends d{_createInput(){return r.input({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=C,C.__name__=\"DateEditorView\";class D extends o{static init_DateEditor(){this.prototype.default_view=C}}i.DateEditor=D,D.__name__=\"DateEditor\",D.init_DateEditor()},\n      441: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),o=e(442),n=e(446),l=e(447),r=e(448),d=s.__importStar(e(18)),a=e(24),h=e(8),c=e(9),u=e(17),_=e(72),m=e(188),g=e(457),p=e(458),b=e(459),f=s.__importDefault(e(460)),w=s.__importDefault(e(461));i.DTINDEX_NAME=\"__bkdt_internal_index__\";class x{constructor(e,t){this.init(e,t)}init(e,t){if(i.DTINDEX_NAME in e.data)throw new Error(`special name ${i.DTINDEX_NAME} cannot be used as a data table column`);this.source=e,this.view=t,this.index=this.view.indices}getLength(){return this.index.length}getItem(e){const t={};for(const i of u.keys(this.source.data))t[i]=this.source.data[i][this.index[e]];return t[i.DTINDEX_NAME]=this.index[e],t}getField(e,t){return t==i.DTINDEX_NAME?this.index[e]:this.source.data[t][this.index[e]]}setField(e,t,i){const s=this.index[e];this.source.patch({[t]:[[s,i]]})}getItemMetadata(e){return null}getRecords(){return c.range(0,this.getLength()).map(e=>this.getItem(e))}sort(e){let t=e.map(e=>[e.sortCol.field,e.sortAsc?1:-1]);0==t.length&&(t=[[i.DTINDEX_NAME,1]]);const s=this.getRecords(),o=this.index.slice();this.index.sort((function(e,i){for(const[n,l]of t){const t=s[o.indexOf(e)][n],r=s[o.indexOf(i)][n],d=t==r?0:t>r?l:-l;if(0!=d)return d}return 0}))}}i.TableDataProvider=x,x.__name__=\"TableDataProvider\";class C extends p.WidgetView{constructor(){super(...arguments),this._in_selection_update=!1,this._warned_not_reorderable=!1}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.source.streaming,()=>this.updateGrid()),this.connect(this.model.source.patching,()=>this.updateGrid()),this.connect(this.model.source.change,()=>this.updateGrid()),this.connect(this.model.source.properties.data.change,()=>this.updateGrid()),this.connect(this.model.source.selected.change,()=>this.updateSelection()),this.connect(this.model.source.selected.properties.indices.change,()=>this.updateSelection())}remove(){var e;null===(e=this.grid)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),f.default,w.default]}_update_layout(){this.layout=new m.LayoutItem,this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.grid.resizeCanvas()}updateGrid(){if(this.model.view.compute_indices(),this.data.init(this.model.source,this.model.view),this.model.sortable){const e=this.grid.getColumns(),t=this.grid.getSortColumns().map(t=>({sortCol:{field:e[this.grid.getColumnIndex(t.columnId)].field},sortAsc:t.sortAsc}));this.data.sort(t)}this.grid.invalidate(),this.grid.render()}updateSelection(){if(this._in_selection_update)return;const{selected:e}=this.model.source,t=e.indices.map(e=>this.data.index.indexOf(e)).sort();this._in_selection_update=!0,this.grid.setSelectedRows(t),this._in_selection_update=!1;const i=this.grid.getViewport(),s=this.model.get_scroll_index(i,t);null!=s&&this.grid.scrollRowToTop(s)}newIndexColumn(){return{id:a.uniqueId(),name:this.model.index_header,field:i.DTINDEX_NAME,width:this.model.index_width,behavior:\"select\",cannotTriggerInsert:!0,resizable:!1,selectable:!1,sortable:!0,cssClass:b.bk_cell_index,headerCssClass:b.bk_header_index}}css_classes(){return super.css_classes().concat(b.bk_data_table)}render(){let e,t=this.model.columns.map(e=>Object.assign(Object.assign({},e.toColumn()),{parent:this}));if(\"checkbox\"==this.model.selectable&&(e=new n.CheckboxSelectColumn({cssClass:b.bk_cell_select}),t.unshift(e.getColumnDefinition())),null!=this.model.index_position){const e=this.model.index_position,i=this.newIndexColumn();-1==e?t.push(i):e<-1?t.splice(e+1,0,i):t.splice(e,0,i)}let{reorderable:i}=this.model;!i||\"undefined\"!=typeof $&&null!=$.fn&&null!=$.fn.sortable||(this._warned_not_reorderable||(_.logger.warn(\"jquery-ui is required to enable DataTable.reorderable\"),this._warned_not_reorderable=!0),i=!1);const s={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:i,forceFitColumns:this.model.fit_columns,multiColumnSort:this.model.sortable,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height};if(this.data=new x(this.model.source,this.model.view),this.grid=new r.Grid(this.el,this.data,t,s),this.grid.onSort.subscribe((e,i)=>{this.model.sortable&&(t=i.sortCols,this.data.sort(t),this.grid.invalidate(),this.updateSelection(),this.grid.render(),this.model.header_row||this._hide_header(),this.model.update_sort_columns(t))}),!1!==this.model.selectable){this.grid.setSelectionModel(new o.RowSelectionModel({selectActiveRow:null==e})),null!=e&&this.grid.registerPlugin(e);const t={dataItemColumnValueExtractor(e,t){let i=e[t.field];return h.isString(i)&&(i=i.replace(/\\n/g,\"\\\\n\")),i},includeHeaderWhenCopying:!1};this.grid.registerPlugin(new l.CellExternalCopyManager(t)),this.grid.onSelectedRowsChanged.subscribe((e,t)=>{this._in_selection_update||(this.model.source.selected.indices=t.rows.map(e=>this.data.index[e]))}),this.updateSelection(),this.model.header_row||this._hide_header()}}_hide_header(){for(const e of Array.from(this.el.querySelectorAll(\".slick-header-columns\")))e.style.height=\"0px\";this.grid.resizeCanvas()}}i.DataTableView=C,C.__name__=\"DataTableView\";class D extends g.TableWidget{constructor(e){super(e),this._sort_columns=[]}get sort_columns(){return this._sort_columns}static init_DataTable(){this.prototype.default_view=C,this.define({columns:[d.Array,[]],fit_columns:[d.Boolean,!0],sortable:[d.Boolean,!0],reorderable:[d.Boolean,!0],editable:[d.Boolean,!1],selectable:[d.Any,!0],index_position:[d.Int,0],index_header:[d.String,\"#\"],index_width:[d.Int,40],scroll_to_selection:[d.Boolean,!0],header_row:[d.Boolean,!0],row_height:[d.Int,25]}),this.override({width:600,height:400})}update_sort_columns(e){return this._sort_columns=e.map(e=>({field:e.sortCol.field,sortAsc:e.sortAsc})),null}get_scroll_index(e,t){return this.scroll_to_selection&&0!=t.length?c.some(t,t=>e.top<=t&&t<=e.bottom)?null:Math.max(0,Math.min(...t)-1):null}}i.DataTable=D,D.__name__=\"DataTable\",D.init_DataTable()},\n      442: function _(e,t,n){var o=e(443),r=e(445);t.exports={RowSelectionModel:function(e){var t,n,l,i=[],c=this,u=new r.EventHandler,s={selectActiveRow:!0};function a(e){return function(){n||(n=!0,e.apply(this,arguments),n=!1)}}function f(e){for(var t=[],n=0;n<e.length;n++)for(var o=e[n].fromRow;o<=e[n].toRow;o++)t.push(o);return t}function h(e){for(var n=[],o=t.getColumns().length-1,l=0;l<e.length;l++)n.push(new r.Range(e[l],0,e[l],o));return n}function w(){return f(i)}function g(e){(i&&0!==i.length||e&&0!==e.length)&&(i=e,c.onSelectedRangesChanged.notify(i))}function v(e,n){l.selectActiveRow&&null!=n.row&&g([new r.Range(n.row,0,n.row,t.getColumns().length-1)])}function p(e){var n=t.getActiveCell();if(t.getOptions().multiSelect&&n&&e.shiftKey&&!e.ctrlKey&&!e.altKey&&!e.metaKey&&(e.which==r.keyCode.UP||e.which==r.keyCode.DOWN)){var o=w();o.sort((function(e,t){return e-t})),o.length||(o=[n.row]);var l,i=o[0],c=o[o.length-1];if((l=e.which==r.keyCode.DOWN?n.row<c||i==c?++c:++i:n.row<c?--c:--i)>=0&&l<t.getDataLength())t.scrollRowIntoView(l),g(h(function(e,t){var n,o=[];for(n=e;n<=t;n++)o.push(n);for(n=t;n<e;n++)o.push(n);return o}(i,c)));e.preventDefault(),e.stopPropagation()}}function y(e){var n=t.getCellFromEvent(e);if(!n||!t.canCellBeActive(n.row,n.cell))return!1;if(!t.getOptions().multiSelect||!e.ctrlKey&&!e.shiftKey&&!e.metaKey)return!1;var r=f(i),l=o.inArray(n.row,r);if(-1===l&&(e.ctrlKey||e.metaKey))r.push(n.row),t.setActiveCell(n.row,n.cell);else if(-1!==l&&(e.ctrlKey||e.metaKey))r=o.grep(r,(function(e,t){return e!==n.row})),t.setActiveCell(n.row,n.cell);else if(r.length&&e.shiftKey){var c=r.pop(),u=Math.min(n.row,c),s=Math.max(n.row,c);r=[];for(var a=u;a<=s;a++)a!==c&&r.push(a);r.push(c),t.setActiveCell(n.row,n.cell)}return g(h(r)),e.stopImmediatePropagation(),!0}o.extend(this,{getSelectedRows:w,setSelectedRows:function(e){g(h(e))},getSelectedRanges:function(){return i},setSelectedRanges:g,init:function(n){l=o.extend(!0,{},s,e),t=n,u.subscribe(t.onActiveCellChanged,a(v)),u.subscribe(t.onKeyDown,a(p)),u.subscribe(t.onClick,a(y))},destroy:function(){u.unsubscribeAll()},onSelectedRangesChanged:new r.Event})}}},\n      443: function _(e,n,f){n.exports=\"undefined\"!=typeof $?$:e(444)},\n      444: function _(e,t,n){\n      /*!\n           * jQuery JavaScript Library v3.5.0\n           * https://jquery.com/\n           *\n           * Includes Sizzle.js\n           * https://sizzlejs.com/\n           *\n           * Copyright JS Foundation and other contributors\n           * Released under the MIT license\n           * https://jquery.org/license\n           *\n           * Date: 2020-04-10T15:07Z\n           */\n      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e=t.getColumns(),o=0;o<e.length;o++)e[o].id==d.columnId&&(m=o)}return m}()),t.focus()}function b(e,o){if(o.column.id==d.columnId&&l(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();if(l(e.target).is(\":checked\")){for(var c=[],n=0;n<t.getDataLength();n++)c.push(n);t.setSelectedRows(c)}else t.setSelectedRows([]);e.stopPropagation(),e.stopImmediatePropagation()}}var m=null;function g(){return Math.round(1e7*Math.random())}function k(e,t,o,l,c){var n=g()+e;return c?i[e]?\"<input id='selector\"+n+\"' type='checkbox' checked='checked'><label for='selector\"+n+\"'></label>\":\"<input id='selector\"+n+\"' type='checkbox'><label for='selector\"+n+\"'></label>\":null}l.extend(this,{init:function(e){t=e,n.subscribe(t.onSelectedRowsChanged,u).subscribe(t.onClick,f).subscribe(t.onKeyDown,h),d.hideInFilterHeaderRow||function(e){e.onHeaderRowCellRendered.subscribe((function(e,t){\"sel\"===t.column.field&&(l(t.node).empty(),l(\"<span id='filter-checkbox-selectall-container'><input id='header-filter-selector\"+o+\"' type='checkbox'><label for='header-filter-selector\"+o+\"'></label></span>\").appendTo(t.node).on(\"click\",(function(e){b(e,t)})))}))}(e),d.hideInColumnTitleRow||n.subscribe(t.onHeaderClick,b)},destroy:function(){n.unsubscribeAll()},deSelectRows:function(e){var o,c=e.length,n=[];for(o=0;o<c;o++)i[e[o]]&&(n[n.length]=e[o]);t.setSelectedRows(l.grep(t.getSelectedRows(),(function(e){return n.indexOf(e)<0})))},selectRows:function(e){var o,l=e.length,c=[];for(o=0;o<l;o++)i[e[o]]||(c[c.length]=e[o]);t.setSelectedRows(t.getSelectedRows().concat(c))},getColumnDefinition:function(){return{id:d.columnId,name:d.hideSelectAllCheckbox||d.hideInColumnTitleRow?\"\":\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",toolTip:d.toolTip,field:\"sel\",width:d.width,resizable:!1,sortable:!1,cssClass:d.cssClass,hideSelectAllCheckbox:d.hideSelectAllCheckbox,formatter:k}},getOptions:function(){return d},setOptions:function(e){if((d=l.extend(!0,{},d,e)).hideSelectAllCheckbox)a(),s();else if(d.hideInColumnTitleRow?a():(r?t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox' checked='checked'><label for='header-selector\"+o+\"'></label>\",d.toolTip):t.updateColumnHeader(d.columnId,\"<input id='header-selector\"+o+\"' type='checkbox'><label for='header-selector\"+o+\"'></label>\",d.toolTip),n.subscribe(t.onHeaderClick,b)),d.hideInFilterHeaderRow)s();else{var c=l(\"#filter-checkbox-selectall-container\");c.show(),c.find('input[type=\"checkbox\"]').prop(\"checked\",r)}}})}}},\n      447: function _(e,t,o){var l=e(443),n=e(445),a=n.keyCode;t.exports={CellExternalCopyManager:function(e){var t,o,r=this,i=e||{},s=i.copiedCellStyleLayerKey||\"copy-manager\",u=i.copiedCellStyle||\"copied\",c=0,d=i.bodyElement||document.body,f=i.onCopyInit||null,h=i.onCopySuccess||null;function C(e){if(i.headerColumnValueExtractor){var t=i.headerColumnValueExtractor(e);if(t)return t}return e.name}function m(e,o,n){if(i.dataItemColumnValueExtractor){var a=i.dataItemColumnValueExtractor(e,o);if(a)return a}var r=\"\";if(o.editor){var s={container:l(\"<p>\"),column:o,position:{top:0,left:0},grid:t,event:n},u=new o.editor(s);u.loadValue(e),r=u.serializeValue(),u.destroy()}else r=e[o.field];return r}function g(e,o,n){if(i.dataItemColumnValueSetter)return i.dataItemColumnValueSetter(e,o,n);if(o.editor){var a={container:l(\"body\"),column:o,position:{top:0,left:0},grid:t},r=new o.editor(a);r.loadValue(e),r.applyValue(e,n),r.destroy()}else e[o.field]=n}function p(e){var t=document.createElement(\"textarea\");return t.style.position=\"absolute\",t.style.left=\"-1000px\",t.style.top=document.body.scrollTop+\"px\",t.value=e,d.appendChild(t),t.select(),t}function y(e,l){var n;if(!t.getEditorLock().isActive()||t.getOptions().autoEdit){if(e.which==a.ESC&&o&&(e.preventDefault(),w(),r.onCopyCancelled.notify({ranges:o}),o=null),(e.which===a.C||e.which===a.INSERT)&&(e.ctrlKey||e.metaKey)&&!e.shiftKey&&(f&&f.call(),0!=(n=t.getSelectionModel().getSelectedRanges()).length)){o=n,v(n),r.onCopyCells.notify({ranges:n});for(var s=t.getColumns(),u=\"\",c=0;c<n.length;c++){for(var y=n[c],D=[],S=y.fromRow;S<y.toRow+1;S++){var R=[],x=t.getDataItem(S);if(\"\"==D&&i.includeHeaderWhenCopying){for(var V=[],E=y.fromCell;E<y.toCell+1;E++)s[E].name.length>0&&V.push(C(s[E]));D.push(V.join(\"\\t\"))}for(E=y.fromCell;E<y.toCell+1;E++)R.push(m(x,s[E],e));D.push(R.join(\"\\t\"))}u+=D.join(\"\\r\\n\")+\"\\r\\n\"}if(window.clipboardData)return window.clipboardData.setData(\"Text\",u),!0;var b=document.activeElement;if((M=p(u)).focus(),setTimeout((function(){d.removeChild(M),b?b.focus():console.log(\"Not element to restore focus to after copy?\")}),100),h){var I=0;I=1===n.length?n[0].toRow+1-n[0].fromRow:n.length,h.call(this,I)}return!1}if(!i.readOnlyMode&&(e.which===a.V&&(e.ctrlKey||e.metaKey)&&!e.shiftKey||e.which===a.INSERT&&e.shiftKey&&!e.ctrlKey)){var M=p(\"\");return setTimeout((function(){!function(e,t){var o=e.getColumns(),l=t.value.split(/[\\n\\f\\r]/);\"\"==l[l.length-1]&&l.pop();var n=[],a=0;d.removeChild(t);for(var s=0;s<l.length;s++)\"\"!=l[s]?n[a++]=l[s].split(\"\\t\"):n[s]=[\"\"];var u=e.getActiveCell(),c=e.getSelectionModel().getSelectedRanges(),f=c&&c.length?c[0]:null,h=null,C=null;if(f)h=f.fromRow,C=f.fromCell;else{if(!u)return;h=u.row,C=u.cell}var m=!1,p=n.length,y=n.length?n[0].length:0;1==n.length&&1==n[0].length&&f&&(m=!0,p=f.toRow-f.fromRow+1,y=f.toCell-f.fromCell+1);var w=e.getData().length-h,D=0;if(w<p&&i.newRowCreator){var S=e.getData();for(D=1;D<=p-w;D++)S.push({});e.setData(S),e.render()}var R=h+p>e.getDataLength();if(i.newRowCreator&&R){var x=h+p-e.getDataLength();i.newRowCreator(x)}var V={isClipboardCommand:!0,clippedRange:n,oldValues:[],cellExternalCopyManager:r,_options:i,setDataItemValueForColumn:g,markCopySelection:v,oneCellToMultiple:m,activeRow:h,activeCell:C,destH:p,destW:y,maxDestY:e.getDataLength(),maxDestX:e.getColumns().length,h:0,w:0,execute:function(){this.h=0;for(var t=0;t<this.destH;t++){this.oldValues[t]=[],this.w=0,this.h++;for(var l=0;l<this.destW;l++){this.w++;var a=h+t,r=C+l;if(a<this.maxDestY&&r<this.maxDestX){e.getCellNode(a,r);var i=e.getDataItem(a);this.oldValues[t][l]=i[o[r].field],m?this.setDataItemValueForColumn(i,o[r],n[0][0]):this.setDataItemValueForColumn(i,o[r],n[t]?n[t][l]:\"\"),e.updateCell(a,r),e.onCellChange.notify({row:a,cell:r,item:i,grid:e})}}}var s={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};this.markCopySelection([s]),e.getSelectionModel().setSelectedRanges([s]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[s]})},undo:function(){for(var t=0;t<this.destH;t++)for(var l=0;l<this.destW;l++){var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var r=e.getDataItem(n);m?this.setDataItemValueForColumn(r,o[a],this.oldValues[0][0]):this.setDataItemValueForColumn(r,o[a],this.oldValues[t][l]),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:r,grid:e})}}var i={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};if(this.markCopySelection([i]),e.getSelectionModel().setSelectedRanges([i]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[i]}),D>1){for(var s=e.getData();D>1;D--)s.splice(s.length-1,1);e.setData(s),e.render()}}};i.clipboardCommandHandler?i.clipboardCommandHandler(V):V.execute()}(t,M)}),100),!1}}}function v(e){w();for(var o=t.getColumns(),l={},n=0;n<e.length;n++)for(var a=e[n].fromRow;a<=e[n].toRow;a++){l[a]={};for(var i=e[n].fromCell;i<=e[n].toCell&&i<o.length;i++)l[a][o[i].id]=u}t.setCellCssStyles(s,l),clearTimeout(c),c=setTimeout((function(){r.clearCopySelection()}),2e3)}function w(){t.removeCellCssStyles(s)}l.extend(this,{init:function(e){(t=e).onKeyDown.subscribe(y);var o=e.getSelectionModel();if(!o)throw new Error(\"Selection model is mandatory for this plugin. Please set a selection model on the grid before adding this plugin: grid.setSelectionModel(new Slick.CellSelectionModel())\");o.onSelectedRangesChanged.subscribe((function(e,o){t.focus()}))},destroy:function(){t.onKeyDown.unsubscribe(y)},clearCopySelection:w,handleKeyDown:y,onCopyCells:new n.Event,onCopyCancelled:new n.Event,onPasteCells:new n.Event,setIncludeHeaderWhenCopying:function(e){i.includeHeaderWhenCopying=e}})}}},\n      448: function _(r,t,o){var _=r(1);_.__exportStar(r(445),t.exports),_.__exportStar(r(449),t.exports),_.__exportStar(r(452),t.exports),_.__exportStar(r(453),t.exports),_.__exportStar(r(454),t.exports),_.__exportStar(r(455),t.exports),_.__exportStar(r(456),t.exports)},\n      449: function _(require,module,exports){\n      /**\n           * @license\n           * (c) 2009-2016 Michael Leibman\n           * michael{dot}leibman{at}gmail{dot}com\n           * http://github.com/mleibman/slickgrid\n           *\n           * Distributed under MIT license.\n           * All rights reserved.\n           *\n           * SlickGrid v2.3\n           *\n           * NOTES:\n           *     Cell/row DOM manipulations are done directly bypassing jQuery's DOM manipulation methods.\n           *     This increases the speed dramatically, but can only be done safely because there are no event handlers\n           *     or data associated with any cell/row DOM nodes.  Cell editors must make sure they implement .destroy()\n           *     and do proper cleanup.\n           */\n      var $=require(443),Slick=require(445),scrollbarDimensions,maxSupportedCssHeight;function SlickGrid(container,data,columns,options){$.fn.drag||require(450),$.fn.drop||require(451);var defaults={alwaysShowVerticalScroll:!1,explicitInitialization:!1,rowHeight:25,defaultColumnWidth:80,enableAddRow:!1,leaveSpaceForNewRows:!1,editable:!1,autoEdit:!0,suppressActiveCellChangeOnEdit:!1,enableCellNavigation:!0,enableColumnReorder:!0,asyncEditorLoading:!1,asyncEditorLoadDelay:100,forceFitColumns:!1,enableAsyncPostRender:!1,asyncPostRenderDelay:50,enableAsyncPostRenderCleanup:!1,asyncPostRenderCleanupDelay:40,autoHeight:!1,editorLock:Slick.GlobalEditorLock,showHeaderRow:!1,headerRowHeight:25,createFooterRow:!1,showFooterRow:!1,footerRowHeight:25,createPreHeaderPanel:!1,showPreHeaderPanel:!1,preHeaderPanelHeight:25,showTopPanel:!1,topPanelHeight:25,formatterFactory:null,editorFactory:null,cellFlashingCssClass:\"flashing\",selectedCellCssClass:\"selected\",multiSelect:!0,enableTextSelectionOnCells:!1,dataItemColumnValueExtractor:null,fullWidthRows:!1,multiColumnSort:!1,numberedMultiColumnSort:!1,tristateMultiColumnSort:!1,sortColNumberInSeparateSpan:!1,defaultFormatter,forceSyncScrolling:!1,addNewRowCssClass:\"new-row\",preserveCopiedSelectionOnPaste:!1,showCellSelection:!0,viewportClass:null,minRowBuffer:3,emulatePagingWhenScrolling:!0,editorCellNavOnLRKeys:!1},columnDefaults={name:\"\",resizable:!0,sortable:!1,minWidth:30,rerenderOnResize:!1,headerCssClass:null,defaultSortAsc:!0,focusable:!0,selectable:!0},th,h,ph,n,cj,page=0,offset=0,vScrollDir=1,initialized=!1,$container,uid=\"slickgrid_\"+Math.round(1e6*Math.random()),self=this,$focusSink,$focusSink2,$headerScroller,$headers,$headerRow,$headerRowScroller,$headerRowSpacer,$footerRow,$footerRowScroller,$footerRowSpacer,$preHeaderPanel,$preHeaderPanelScroller,$preHeaderPanelSpacer,$topPanelScroller,$topPanel,$viewport,$canvas,$style,$boundAncestors,stylesheet,columnCssRulesL,columnCssRulesR,viewportH,viewportW,canvasWidth,viewportHasHScroll,viewportHasVScroll,headerColumnWidthDiff=0,headerColumnHeightDiff=0,cellWidthDiff=0,cellHeightDiff=0,jQueryNewWidthBehaviour=!1,absoluteColumnMinWidth,tabbingDirection=1,activePosX,activeRow,activeCell,activeCellNode=null,currentEditor=null,serializedEditorValue,editController,rowsCache={},renderedRows=0,numVisibleRows,prevScrollTop=0,scrollTop=0,lastRenderedScrollTop=0,lastRenderedScrollLeft=0,prevScrollLeft=0,scrollLeft=0,selectionModel,selectedRows=[],plugins=[],cellCssClasses={},columnsById={},sortColumns=[],columnPosLeft=[],columnPosRight=[],pagingActive=!1,pagingIsLastPage=!1,scrollThrottle=ActionThrottle(render,50),h_editorLoader=null,h_render=null,h_postrender=null,h_postrenderCleanup=null,postProcessedRows={},postProcessToRow=null,postProcessFromRow=null,postProcessedCleanupQueue=[],postProcessgroupId=0,counter_rows_rendered=0,counter_rows_removed=0,rowNodeFromLastMouseWheelEvent,zombieRowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent,cssShow={position:\"absolute\",visibility:\"hidden\",display:\"block\"},$hiddenParents,oldProps=[],columnResizeDragging=!1;function init(){if(($container=container instanceof $?container:$(container)).length<1)throw new Error(\"SlickGrid requires a valid container, \"+container+\" does not exist in the DOM.\");cacheCssForHiddenInit(),maxSupportedCssHeight=maxSupportedCssHeight||getMaxSupportedCssHeight(),options=$.extend({},defaults,options),validateAndEnforceOptions(),columnDefaults.width=options.defaultColumnWidth,columnsById={};for(var e=0;e<columns.length;e++){var o=columns[e]=$.extend({},columnDefaults,columns[e]);columnsById[o.id]=e,o.minWidth&&o.width<o.minWidth&&(o.width=o.minWidth),o.maxWidth&&o.width>o.maxWidth&&(o.width=o.maxWidth)}if(options.enableColumnReorder&&!$.fn.sortable)throw new Error(\"SlickGrid's 'enableColumnReorder = true' option requires jquery-ui.sortable module to be loaded\");editController={commitCurrentEdit,cancelCurrentEdit},$container.empty().css(\"overflow\",\"hidden\").css(\"outline\",0).addClass(uid).addClass(\"ui-widget\"),/relative|absolute|fixed/.test($container.css(\"position\"))||$container.css(\"position\",\"relative\"),$focusSink=$(\"<div tabIndex='0' hideFocus style='position:fixed;width:0;height:0;top:0;left:0;outline:0;'></div>\").appendTo($container),options.createPreHeaderPanel&&($preHeaderPanelScroller=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($container),$preHeaderPanel=$(\"<div />\").appendTo($preHeaderPanelScroller),$preHeaderPanelSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScroller),options.showPreHeaderPanel||$preHeaderPanelScroller.hide()),$headerScroller=$(\"<div class='slick-header ui-state-default' />\").appendTo($container),$headers=$(\"<div class='slick-header-columns' style='left:-1000px' />\").appendTo($headerScroller),$headerRowScroller=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($container),$headerRow=$(\"<div class='slick-headerrow-columns' />\").appendTo($headerRowScroller),$headerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScroller),$topPanelScroller=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($container),$topPanel=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScroller),options.showTopPanel||$topPanelScroller.hide(),options.showHeaderRow||$headerRowScroller.hide(),($viewport=$(\"<div class='slick-viewport' style='width:100%;overflow:auto;outline:0;position:relative;;'>\").appendTo($container)).css(\"overflow-y\",options.alwaysShowVerticalScroll?\"scroll\":options.autoHeight?\"hidden\":\"auto\"),$viewport.css(\"overflow-x\",options.forceFitColumns?\"hidden\":\"auto\"),options.viewportClass&&$viewport.toggleClass(options.viewportClass,!0),$canvas=$(\"<div class='grid-canvas' />\").appendTo($viewport),scrollbarDimensions=scrollbarDimensions||measureScrollbar(),$preHeaderPanelSpacer&&$preHeaderPanelSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headers.width(getHeadersWidth()),$headerRowSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),options.createFooterRow&&($footerRowScroller=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($container),$footerRow=$(\"<div class='slick-footerrow-columns' />\").appendTo($footerRowScroller),$footerRowSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScroller),options.showFooterRow||$footerRowScroller.hide()),$focusSink2=$focusSink.clone().appendTo($container),options.explicitInitialization||finishInitialization()}function finishInitialization(){initialized||(initialized=!0,viewportW=parseFloat($.css($container[0],\"width\",!0)),measureCellPaddingAndBorder(),disableSelection($headers),options.enableTextSelectionOnCells||$viewport.on(\"selectstart.ui\",(function(e){return $(e.target).is(\"input,textarea\")})),updateColumnCaches(),createColumnHeaders(),setupColumnSort(),createCssRules(),resizeCanvas(),bindAncestorScrollEvents(),$container.on(\"resize.slickgrid\",resizeCanvas),$viewport.on(\"scroll\",handleScroll),$headerScroller.on(\"contextmenu\",handleHeaderContextMenu).on(\"click\",handleHeaderClick).on(\"mouseenter\",\".slick-header-column\",handleHeaderMouseEnter).on(\"mouseleave\",\".slick-header-column\",handleHeaderMouseLeave),$headerRowScroller.on(\"scroll\",handleHeaderRowScroll),options.createFooterRow&&$footerRowScroller.on(\"scroll\",handleFooterRowScroll),options.createPreHeaderPanel&&$preHeaderPanelScroller.on(\"scroll\",handlePreHeaderPanelScroll),$focusSink.add($focusSink2).on(\"keydown\",handleKeyDown),$canvas.on(\"keydown\",handleKeyDown).on(\"click\",handleClick).on(\"dblclick\",handleDblClick).on(\"contextmenu\",handleContextMenu).on(\"draginit\",handleDragInit).on(\"dragstart\",{distance:3},handleDragStart).on(\"drag\",handleDrag).on(\"dragend\",handleDragEnd).on(\"mouseenter\",\".slick-cell\",handleMouseEnter).on(\"mouseleave\",\".slick-cell\",handleMouseLeave),navigator.userAgent.toLowerCase().match(/webkit/)&&navigator.userAgent.toLowerCase().match(/macintosh/)&&$canvas.on(\"mousewheel\",handleMouseWheel),restoreCssFromHiddenInit())}function cacheCssForHiddenInit(){($hiddenParents=$container.parents().addBack().not(\":visible\")).each((function(){var e={};for(var o in cssShow)e[o]=this.style[o],this.style[o]=cssShow[o];oldProps.push(e)}))}function restoreCssFromHiddenInit(){$hiddenParents.each((function(e){var o=oldProps[e];for(var t in cssShow)this.style[t]=o[t]}))}function registerPlugin(e){plugins.unshift(e),e.init(self)}function unregisterPlugin(e){for(var o=plugins.length;o>=0;o--)if(plugins[o]===e){plugins[o].destroy&&plugins[o].destroy(),plugins.splice(o,1);break}}function setSelectionModel(e){selectionModel&&(selectionModel.onSelectedRangesChanged.unsubscribe(handleSelectedRangesChanged),selectionModel.destroy&&selectionModel.destroy()),(selectionModel=e)&&(selectionModel.init(self),selectionModel.onSelectedRangesChanged.subscribe(handleSelectedRangesChanged))}function getSelectionModel(){return selectionModel}function getCanvasNode(){return $canvas[0]}function measureScrollbar(){var e=$('<div class=\"'+$viewport.className+'\" style=\"position:absolute; top:-10000px; left:-10000px; overflow:auto; width:100px; height:100px;\"></div>').appendTo($viewport),o=$('<div style=\"width:200px; height:200px; overflow:auto;\"></div>').appendTo(e),t={width:e[0].offsetWidth-e[0].clientWidth,height:e[0].offsetHeight-e[0].clientHeight};return o.remove(),e.remove(),t}function getColumnTotalWidth(e){for(var o=0,t=0,l=columns.length;t<l;t++){o+=columns[t].width}return e&&(o+=scrollbarDimensions.width),o}function getHeadersWidth(){var e=getColumnTotalWidth(!options.autoHeight);return Math.max(e,viewportW)+1e3}function getCanvasWidth(){for(var e=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,o=0,t=columns.length;t--;)o+=columns[t].width;return options.fullWidthRows?Math.max(o,e):o}function updateCanvasWidth(e){var o=canvasWidth;(canvasWidth=getCanvasWidth())!=o&&($canvas.width(canvasWidth),$headerRow.width(canvasWidth),options.createFooterRow&&$footerRow.width(canvasWidth),options.createPreHeaderPanel&&$preHeaderPanel.width(canvasWidth),$headers.width(getHeadersWidth()),viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width);var t=canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0);$headerRowSpacer.width(t),options.createFooterRow&&$footerRowSpacer.width(t),options.createPreHeaderPanel&&$preHeaderPanelSpacer.width(t),(canvasWidth!=o||e)&&applyColumnWidths()}function disableSelection(e){e&&e.jquery&&e.attr(\"unselectable\",\"on\").css(\"MozUserSelect\",\"none\").on(\"selectstart.ui\",(function(){return!1}))}function getMaxSupportedCssHeight(){for(var e=1e6,o=navigator.userAgent.toLowerCase().match(/firefox/)?6e6:1e9,t=$(\"<div style='display:none' />\").appendTo(document.body);;){var l=2*e;if(t.css(\"height\",l),l>o||t.height()!==l)break;e=l}return t.remove(),e}function getUID(){return uid}function getHeaderColumnWidthDiff(){return headerColumnWidthDiff}function getScrollbarDimensions(){return scrollbarDimensions}function bindAncestorScrollEvents(){for(var e=$canvas[0];(e=e.parentNode)!=document.body&&null!=e;)if(e==$viewport[0]||e.scrollWidth!=e.clientWidth||e.scrollHeight!=e.clientHeight){var o=$(e);$boundAncestors=$boundAncestors?$boundAncestors.add(o):o,o.on(\"scroll.\"+uid,handleActiveCellPositionChange)}}function unbindAncestorScrollEvents(){$boundAncestors&&($boundAncestors.off(\"scroll.\"+uid),$boundAncestors=null)}function updateColumnHeader(e,o,t){if(initialized){var l=getColumnIndex(e);if(null!=l){var n=columns[l],r=$headers.children().eq(l);r&&(void 0!==o&&(columns[l].name=o),void 0!==t&&(columns[l].toolTip=t),trigger(self.onBeforeHeaderCellDestroy,{node:r[0],column:n,grid:self}),r.attr(\"title\",t||\"\").children().eq(0).html(o),trigger(self.onHeaderCellRendered,{node:r[0],column:n,grid:self}))}}}function getHeader(){return $headers[0]}function getHeaderColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headers.children().eq(o);return t&&t[0]}function getHeaderRow(){return $headerRow[0]}function getFooterRow(){return $footerRow[0]}function getPreHeaderPanel(){return $preHeaderPanel[0]}function getHeaderRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$headerRow.children().eq(o);return t&&t[0]}function getFooterRowColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=$footerRow.children().eq(o);return t&&t[0]}function createColumnHeaders(){function e(){$(this).addClass(\"ui-state-hover\")}function o(){$(this).removeClass(\"ui-state-hover\")}$headers.find(\".slick-header-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderCellDestroy,{node:this,column:e,grid:self})})),$headers.empty(),$headers.width(getHeadersWidth()),$headerRow.find(\".slick-headerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderRowCellDestroy,{node:this,column:e,grid:self})})),$headerRow.empty(),options.createFooterRow&&($footerRow.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e})})),$footerRow.empty());for(var t=0;t<columns.length;t++){var l=columns[t],n=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+l.name+\"</span>\").width(l.width-headerColumnWidthDiff).attr(\"id\",\"\"+uid+l.id).attr(\"title\",l.toolTip||\"\").data(\"column\",l).addClass(l.headerCssClass||\"\").appendTo($headers);if((options.enableColumnReorder||l.sortable)&&n.on(\"mouseenter\",e).on(\"mouseleave\",o),l.sortable&&(n.addClass(\"slick-header-sortable\"),n.append(\"<span class='slick-sort-indicator\"+(options.numberedMultiColumnSort&&!options.sortColNumberInSeparateSpan?\" slick-sort-indicator-numbered\":\"\")+\"' />\"),options.numberedMultiColumnSort&&options.sortColNumberInSeparateSpan&&n.append(\"<span class='slick-sort-indicator-numbered' />\")),trigger(self.onHeaderCellRendered,{node:n[0],column:l,grid:self}),options.showHeaderRow){var r=$(\"<div class='ui-state-default slick-headerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($headerRow);trigger(self.onHeaderRowCellRendered,{node:r[0],column:l,grid:self})}if(options.createFooterRow&&options.showFooterRow){var i=$(\"<div class='ui-state-default slick-footerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",l).appendTo($footerRow);trigger(self.onFooterRowCellRendered,{node:i[0],column:l})}}setSortColumns(sortColumns),setupColumnResize(),options.enableColumnReorder&&(\"function\"==typeof options.enableColumnReorder?options.enableColumnReorder(self,$headers,headerColumnWidthDiff,setColumns,setupColumnResize,columns,getColumnIndex,uid,trigger):setupColumnReorder())}function setupColumnSort(){$headers.click((function(e){if(!columnResizeDragging&&(e.metaKey=e.metaKey||e.ctrlKey,!$(e.target).hasClass(\"slick-resizable-handle\"))){var o=$(e.target).closest(\".slick-header-column\");if(o.length){var t=o.data(\"column\");if(t.sortable){if(!getEditorLock().commitCurrentEdit())return;for(var l=null,n=0;n<sortColumns.length;n++)if(sortColumns[n].columnId==t.id){(l=sortColumns[n]).sortAsc=!l.sortAsc;break}var r=!!l;options.tristateMultiColumnSort?(l||(l={columnId:t.id,sortAsc:t.defaultSortAsc}),r&&l.sortAsc&&(sortColumns.splice(n,1),l=null),options.multiColumnSort||(sortColumns=[]),!l||r&&options.multiColumnSort||sortColumns.push(l)):e.metaKey&&options.multiColumnSort?l&&sortColumns.splice(n,1):((e.shiftKey||e.metaKey)&&options.multiColumnSort||(sortColumns=[]),l?0==sortColumns.length&&sortColumns.push(l):(l={columnId:t.id,sortAsc:t.defaultSortAsc},sortColumns.push(l))),setSortColumns(sortColumns),options.multiColumnSort?trigger(self.onSort,{multiColumnSort:!0,sortCols:$.map(sortColumns,(function(e){return{sortCol:columns[getColumnIndex(e.columnId)],sortAsc:e.sortAsc}}))},e):trigger(self.onSort,{multiColumnSort:!1,sortCol:sortColumns.length>0?t:null,sortAsc:!(sortColumns.length>0)||sortColumns[0].sortAsc},e)}}}}))}function setupColumnReorder(){$headers.filter(\":ui-sortable\").sortable(\"destroy\"),$headers.sortable({containment:\"parent\",distance:3,axis:\"x\",cursor:\"default\",tolerance:\"intersection\",helper:\"clone\",placeholder:\"slick-sortable-placeholder ui-state-default slick-header-column\",start:function(e,o){o.placeholder.width(o.helper.outerWidth()-headerColumnWidthDiff),$(o.helper).addClass(\"slick-header-column-active\")},beforeStop:function(e,o){$(o.helper).removeClass(\"slick-header-column-active\")},stop:function(e){if(getEditorLock().commitCurrentEdit()){for(var o=$headers.sortable(\"toArray\"),t=[],l=0;l<o.length;l++)t.push(columns[getColumnIndex(o[l].replace(uid,\"\"))]);setColumns(t),trigger(self.onColumnsReordered,{}),e.stopPropagation(),setupColumnResize()}else $(this).sortable(\"cancel\")}})}function setupColumnResize(){var e,o,t,l,n,r,i,s;(l=$headers.children()).find(\".slick-resizable-handle\").remove(),l.each((function(e,o){e>=columns.length||columns[e].resizable&&(void 0===i&&(i=e),s=e)})),void 0!==i&&l.each((function(a,c){a>=columns.length||a<i||options.forceFitColumns&&a>=s||($(c),$(\"<div class='slick-resizable-handle' />\").appendTo(c).on(\"dragstart\",(function(i,s){if(!getEditorLock().commitCurrentEdit())return!1;t=i.pageX,$(this).parent().addClass(\"slick-header-column-active\");var c=null,d=null;if(l.each((function(e,o){e>=columns.length||(columns[e].previousWidth=$(o).outerWidth())})),options.forceFitColumns)for(c=0,d=0,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(null!==d&&(o.maxWidth?d+=o.maxWidth-o.previousWidth:d=null),c+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));var u=0,h=0;for(e=0;e<=a;e++)(o=columns[e]).resizable&&(null!==h&&(o.maxWidth?h+=o.maxWidth-o.previousWidth:h=null),u+=o.previousWidth-Math.max(o.minWidth||0,absoluteColumnMinWidth));null===c&&(c=1e5),null===u&&(u=1e5),null===d&&(d=1e5),null===h&&(h=1e5),r=t+Math.min(c,h),n=t-Math.min(u,d)})).on(\"drag\",(function(l,i){columnResizeDragging=!0;var s,c,d=Math.min(r,Math.max(n,l.pageX))-t;if(d<0){for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0))}else{for(c=d,e=a;e>=0;e--)(o=columns[e]).resizable&&(c&&o.maxWidth&&o.maxWidth-o.previousWidth<c?(c-=o.maxWidth-o.previousWidth,o.width=o.maxWidth):(o.width=o.previousWidth+c,c=0));if(options.forceFitColumns)for(c=-d,e=a+1;e<columns.length;e++)(o=columns[e]).resizable&&(s=Math.max(o.minWidth||0,absoluteColumnMinWidth),c&&o.previousWidth+c<s?(c+=o.previousWidth-s,o.width=s):(o.width=o.previousWidth+c,c=0))}applyColumnHeaderWidths(),options.syncColumnCellResize&&applyColumnWidths()})).on(\"dragend\",(function(t,n){var r;for($(this).parent().removeClass(\"slick-header-column-active\"),e=0;e<columns.length;e++)o=columns[e],r=$(l[e]).outerWidth(),o.previousWidth!==r&&o.rerenderOnResize&&invalidateAllRows();updateCanvasWidth(!0),render(),trigger(self.onColumnsResized,{}),setTimeout((function(){columnResizeDragging=!1}),300)})))}))}function getVBoxDelta(e){var o=0;return $.each([\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],(function(t,l){o+=parseFloat(e.css(l))||0})),o}function measureCellPaddingAndBorder(){var e,o=[\"borderLeftWidth\",\"borderRightWidth\",\"paddingLeft\",\"paddingRight\"],t=[\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],l=$.fn.jquery.split(\".\");jQueryNewWidthBehaviour=1==l[0]&&l[1]>=8||l[0]>=2,e=$(\"<div class='ui-state-default slick-header-column' style='visibility:hidden'>-</div>\").appendTo($headers),headerColumnWidthDiff=headerColumnHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){headerColumnWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){headerColumnHeightDiff+=parseFloat(e.css(t))||0}))),e.remove();var n=$(\"<div class='slick-row' />\").appendTo($canvas);e=$(\"<div class='slick-cell' id='' style='visibility:hidden'>-</div>\").appendTo(n),cellWidthDiff=cellHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){cellWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){cellHeightDiff+=parseFloat(e.css(t))||0}))),n.remove(),absoluteColumnMinWidth=Math.max(headerColumnWidthDiff,cellWidthDiff)}function createCssRules(){$style=$(\"<style type='text/css' rel='stylesheet' />\").appendTo($(\"head\"));for(var e=options.rowHeight-cellHeightDiff,o=[\".\"+uid+\" .slick-header-column { left: 1000px; }\",\".\"+uid+\" .slick-top-panel { height:\"+options.topPanelHeight+\"px; }\",\".\"+uid+\" .slick-preheader-panel { height:\"+options.preHeaderPanelHeight+\"px; }\",\".\"+uid+\" .slick-headerrow-columns { height:\"+options.headerRowHeight+\"px; }\",\".\"+uid+\" .slick-footerrow-columns { height:\"+options.footerRowHeight+\"px; }\",\".\"+uid+\" .slick-cell { height:\"+e+\"px; }\",\".\"+uid+\" .slick-row { height:\"+options.rowHeight+\"px; }\"],t=0;t<columns.length;t++)o.push(\".\"+uid+\" .l\"+t+\" { }\"),o.push(\".\"+uid+\" .r\"+t+\" { }\");$style[0].styleSheet?$style[0].styleSheet.cssText=o.join(\" \"):$style[0].appendChild(document.createTextNode(o.join(\" \")))}function getColumnCssRules(e){var o;if(!stylesheet){var t=document.styleSheets;for(o=0;o<t.length;o++)if((t[o].ownerNode||t[o].owningElement)==$style[0]){stylesheet=t[o];break}if(!stylesheet)throw new Error(\"Cannot find stylesheet.\");columnCssRulesL=[],columnCssRulesR=[];var l,n,r=stylesheet.cssRules||stylesheet.rules;for(o=0;o<r.length;o++){var i=r[o].selectorText;(l=/\\.l\\d+/.exec(i))?(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesL[n]=r[o]):(l=/\\.r\\d+/.exec(i))&&(n=parseInt(l[0].substr(2,l[0].length-2),10),columnCssRulesR[n]=r[o])}}return{left:columnCssRulesL[e],right:columnCssRulesR[e]}}function removeCssRules(){$style.remove(),stylesheet=null}function destroy(){getEditorLock().cancelCurrentEdit(),trigger(self.onBeforeDestroy,{});for(var e=plugins.length;e--;)unregisterPlugin(plugins[e]);options.enableColumnReorder&&$headers.filter(\":ui-sortable\").sortable(\"destroy\"),unbindAncestorScrollEvents(),$container.off(\".slickgrid\"),removeCssRules(),$canvas.off(\"draginit dragstart dragend drag\"),$container.empty().removeClass(uid)}function trigger(e,o,t){return t=t||new Slick.EventData,(o=o||{}).grid=self,e.notify(o,t,self)}function getEditorLock(){return options.editorLock}function getEditController(){return editController}function getColumnIndex(e){return columnsById[e]}function autosizeColumns(){var e,o,t,l=[],n=0,r=0,i=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW;for(e=0;e<columns.length;e++)o=columns[e],l.push(o.width),r+=o.width,o.resizable&&(n+=o.width-Math.max(o.minWidth,absoluteColumnMinWidth));for(t=r;r>i&&n;){var s=(r-i)/n;for(e=0;e<columns.length&&r>i;e++){o=columns[e];var a=l[e];if(!(!o.resizable||a<=o.minWidth||a<=absoluteColumnMinWidth)){var c=Math.max(o.minWidth,absoluteColumnMinWidth),d=Math.floor(s*(a-c))||1;r-=d=Math.min(d,a-c),n-=d,l[e]-=d}}if(t<=r)break;t=r}for(t=r;r<i;){var u=i/r;for(e=0;e<columns.length&&r<i;e++){o=columns[e];var h,p=l[e];r+=h=!o.resizable||o.maxWidth<=p?0:Math.min(Math.floor(u*p)-p,o.maxWidth-p||1e6)||1,l[e]+=r<=i?h:0}if(t>=r)break;t=r}var g=!1;for(e=0;e<columns.length;e++)columns[e].rerenderOnResize&&columns[e].width!=l[e]&&(g=!0),columns[e].width=l[e];applyColumnHeaderWidths(),updateCanvasWidth(!0),trigger(self.onAutosizeColumns,{columns}),g&&(invalidateAllRows(),render())}function applyColumnHeaderWidths(){if(initialized){for(var e,o=0,t=$headers.children(),l=columns.length;o<l;o++)e=$(t[o]),jQueryNewWidthBehaviour?e.outerWidth()!==columns[o].width&&e.outerWidth(columns[o].width):e.width()!==columns[o].width-headerColumnWidthDiff&&e.width(columns[o].width-headerColumnWidthDiff);updateColumnCaches()}}function applyColumnWidths(){for(var e,o,t=0,l=0;l<columns.length;l++)e=columns[l].width,(o=getColumnCssRules(l)).left.style.left=t+\"px\",o.right.style.right=canvasWidth-t-e+\"px\",t+=columns[l].width}function setSortColumn(e,o){setSortColumns([{columnId:e,sortAsc:o}])}function setSortColumns(e){sortColumns=e;var o=options.numberedMultiColumnSort&&sortColumns.length>1,t=$headers.children();t.removeClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").removeClass(\"slick-sort-indicator-asc slick-sort-indicator-desc\"),t.find(\".slick-sort-indicator-numbered\").text(\"\"),$.each(sortColumns,(function(e,l){null==l.sortAsc&&(l.sortAsc=!0);var n=getColumnIndex(l.columnId);null!=n&&(t.eq(n).addClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").addClass(l.sortAsc?\"slick-sort-indicator-asc\":\"slick-sort-indicator-desc\"),o&&t.eq(n).find(\".slick-sort-indicator-numbered\").text(e+1))}))}function getSortColumns(){return sortColumns}function handleSelectedRangesChanged(e,o){selectedRows=[];for(var t={},l=0;l<o.length;l++)for(var n=o[l].fromRow;n<=o[l].toRow;n++){t[n]||(selectedRows.push(n),t[n]={});for(var r=o[l].fromCell;r<=o[l].toCell;r++)canCellBeSelected(n,r)&&(t[n][columns[r].id]=options.selectedCellCssClass)}setCellCssStyles(options.selectedCellCssClass,t),trigger(self.onSelectedRowsChanged,{rows:getSelectedRows()},e)}function getColumns(){return columns}function updateColumnCaches(){columnPosLeft=[],columnPosRight=[];for(var e=0,o=0,t=columns.length;o<t;o++)columnPosLeft[o]=e,columnPosRight[o]=e+columns[o].width,e+=columns[o].width}function setColumns(e){columns=e,columnsById={};for(var o=0;o<columns.length;o++){var t=columns[o]=$.extend({},columnDefaults,columns[o]);columnsById[t.id]=o,t.minWidth&&t.width<t.minWidth&&(t.width=t.minWidth),t.maxWidth&&t.width>t.maxWidth&&(t.width=t.maxWidth)}updateColumnCaches(),initialized&&(invalidateAllRows(),createColumnHeaders(),removeCssRules(),createCssRules(),resizeCanvas(),applyColumnWidths(),handleScroll())}function getOptions(){return options}function setOptions(e,o){getEditorLock().commitCurrentEdit()&&(makeActiveCellNormal(),options.enableAddRow!==e.enableAddRow&&invalidateRow(getDataLength()),options=$.extend(options,e),validateAndEnforceOptions(),$viewport.css(\"overflow-y\",options.autoHeight?\"hidden\":\"auto\"),o||render())}function validateAndEnforceOptions(){options.autoHeight&&(options.leaveSpaceForNewRows=!1)}function setData(e,o){data=e,invalidateAllRows(),updateRowCount(),o&&scrollTo(0)}function getData(){return data}function getDataLength(){return data.getLength?data.getLength():data.length}function getDataLengthIncludingAddNew(){return getDataLength()+(options.enableAddRow&&(!pagingActive||pagingIsLastPage)?1:0)}function getDataItem(e){return data.getItem?data.getItem(e):data[e]}function getTopPanel(){return $topPanel[0]}function setTopPanelVisibility(e){options.showTopPanel!=e&&(options.showTopPanel=e,e?$topPanelScroller.slideDown(\"fast\",resizeCanvas):$topPanelScroller.slideUp(\"fast\",resizeCanvas))}function setHeaderRowVisibility(e){options.showHeaderRow!=e&&(options.showHeaderRow=e,e?$headerRowScroller.slideDown(\"fast\",resizeCanvas):$headerRowScroller.slideUp(\"fast\",resizeCanvas))}function setFooterRowVisibility(e){options.showFooterRow!=e&&(options.showFooterRow=e,e?$footerRowScroller.slideDown(\"fast\",resizeCanvas):$footerRowScroller.slideUp(\"fast\",resizeCanvas))}function setPreHeaderPanelVisibility(e){options.showPreHeaderPanel!=e&&(options.showPreHeaderPanel=e,e?$preHeaderPanelScroller.slideDown(\"fast\",resizeCanvas):$preHeaderPanelScroller.slideUp(\"fast\",resizeCanvas))}function getContainerNode(){return $container.get(0)}function getRowTop(e){return options.rowHeight*e-offset}function getRowFromPosition(e){return Math.floor((e+offset)/options.rowHeight)}function scrollTo(e){e=Math.max(e,0),e=Math.min(e,th-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0));var o=offset;page=Math.min(n-1,Math.floor(e/ph));var t=e-(offset=Math.round(page*cj));offset!=o&&(cleanupRows(getVisibleRange(t)),updateRowPositions());prevScrollTop!=t&&(vScrollDir=prevScrollTop+o<t+offset?1:-1,$viewport[0].scrollTop=lastRenderedScrollTop=scrollTop=prevScrollTop=t,trigger(self.onViewportChanged,{}))}function defaultFormatter(e,o,t,l,n,r){return null==t?\"\":(t+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}function getFormatter(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e),l=t&&t.columns&&(t.columns[o.id]||t.columns[getColumnIndex(o.id)]);return l&&l.formatter||t&&t.formatter||o.formatter||options.formatterFactory&&options.formatterFactory.getFormatter(o)||options.defaultFormatter}function getEditor(e,o){var t=columns[o],l=data.getItemMetadata&&data.getItemMetadata(e),n=l&&l.columns;return n&&n[t.id]&&void 0!==n[t.id].editor?n[t.id].editor:n&&n[o]&&void 0!==n[o].editor?n[o].editor:t.editor||options.editorFactory&&options.editorFactory.getEditor(t)}function getDataItemValueForColumn(e,o){return options.dataItemColumnValueExtractor?options.dataItemColumnValueExtractor(e,o):e[o.field]}function appendRowHtml(e,o,t,l){var n=getDataItem(o),r=\"slick-row\"+(o<l&&!n?\" loading\":\"\")+(o===activeRow&&options.showCellSelection?\" active\":\"\")+(o%2==1?\" odd\":\" even\");n||(r+=\" \"+options.addNewRowCssClass);var i,s,a=data.getItemMetadata&&data.getItemMetadata(o);a&&a.cssClasses&&(r+=\" \"+a.cssClasses),e.push(\"<div class='ui-widget-content \"+r+\"' style='top:\"+getRowTop(o)+\"px'>\");for(var c=0,d=columns.length;c<d;c++){if(s=columns[c],i=1,a&&a.columns){var u=a.columns[s.id]||a.columns[c];\"*\"===(i=u&&u.colspan||1)&&(i=d-c)}if(columnPosRight[Math.min(d-1,c+i-1)]>t.leftPx){if(columnPosLeft[c]>t.rightPx)break;appendCellHtml(e,o,c,i,n)}i>1&&(c+=i-1)}e.push(\"</div>\")}function appendCellHtml(e,o,t,l,n){var r=columns[t],i=\"slick-cell l\"+t+\" r\"+Math.min(columns.length-1,t+l-1)+(r.cssClass?\" \"+r.cssClass:\"\");for(var s in o===activeRow&&t===activeCell&&options.showCellSelection&&(i+=\" active\"),cellCssClasses)cellCssClasses[s][o]&&cellCssClasses[s][o][r.id]&&(i+=\" \"+cellCssClasses[s][o][r.id]);var a=null,c=\"\";n&&(a=getDataItemValueForColumn(n,r),null==(c=getFormatter(o,r)(o,t,a,r,n,self))&&(c=\"\"));var d=trigger(self.onBeforeAppendCell,{row:o,cell:t,value:a,dataContext:n})||\"\";d+=c&&c.addClasses?(d?\" \":\"\")+c.addClasses:\"\",e.push(\"<div class='\"+i+(d?\" \"+d:\"\")+\"'>\"),n&&e.push(\"[object Object]\"!==Object.prototype.toString.call(c)?c:c.text),e.push(\"</div>\"),rowsCache[o].cellRenderQueue.push(t),rowsCache[o].cellColSpans[t]=l}function cleanupRows(e){for(var o in rowsCache)(o=parseInt(o,10))!==activeRow&&(o<e.top||o>e.bottom)&&removeRowFromCache(o);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function invalidate(){updateRowCount(),invalidateAllRows(),render()}function invalidateAllRows(){for(var e in currentEditor&&makeActiveCellNormal(),rowsCache)removeRowFromCache(e);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function queuePostProcessedRowForCleanup(e,o,t){for(var l in postProcessgroupId++,o)o.hasOwnProperty(l)&&postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e.cellNodesByColumnIdx[0|l],columnIdx:0|l,rowIdx:t});postProcessedCleanupQueue.push({actionType:\"R\",groupId:postProcessgroupId,node:e.rowNode}),$(e.rowNode).detach()}function queuePostProcessedCellForCleanup(e,o,t){postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e,columnIdx:o,rowIdx:t}),$(e).detach()}function removeRowFromCache(e){var o=rowsCache[e];o&&(o.rowNode&&(rowNodeFromLastMouseWheelEvent===o.rowNode?(o.rowNode.style.display=\"none\",zombieRowNodeFromLastMouseWheelEvent=rowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent=o,zombieRowPostProcessedFromLastMouseWheelEvent=postProcessedRows[e]):options.enableAsyncPostRenderCleanup&&postProcessedRows[e]?queuePostProcessedRowForCleanup(o,postProcessedRows[e],e):$canvas[0].removeChild(o.rowNode)),delete rowsCache[e],delete postProcessedRows[e],renderedRows--,counter_rows_removed++)}function invalidateRows(e){var o,t;if(e&&e.length){for(vScrollDir=0,t=e.length,o=0;o<t;o++)currentEditor&&activeRow===e[o]&&makeActiveCellNormal(),rowsCache[e[o]]&&removeRowFromCache(e[o]);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}}function invalidateRow(e){(e||0===e)&&invalidateRows([e])}function applyFormatResultToCellNode(e,o,t){null==e&&(e=\"\"),\"[object Object]\"===Object.prototype.toString.call(e)?(o.innerHTML=e.text,e.removeClasses&&!t&&$(o).removeClass(e.removeClasses),e.addClasses&&$(o).addClass(e.addClasses)):o.innerHTML=e}function updateCell(e,o){var t=getCellNode(e,o);if(t){var l=columns[o],n=getDataItem(e);if(currentEditor&&activeRow===e&&activeCell===o)currentEditor.loadValue(n);else applyFormatResultToCellNode(n?getFormatter(e,l)(e,o,getDataItemValueForColumn(n,l),l,n,self):\"\",t),invalidatePostProcessingResults(e)}}function updateRow(e){var o=rowsCache[e];if(o){ensureCellNodesInRowsCache(e);var t=getDataItem(e);for(var l in o.cellNodesByColumnIdx)if(o.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=o.cellNodesByColumnIdx[l];e===activeRow&&l===activeCell&&currentEditor?currentEditor.loadValue(t):t?applyFormatResultToCellNode(getFormatter(e,n)(e,l,getDataItemValueForColumn(t,n),n,t,self),r):r.innerHTML=\"\"}invalidatePostProcessingResults(e)}}function getViewportHeight(){return parseFloat($.css($container[0],\"height\",!0))-parseFloat($.css($container[0],\"paddingTop\",!0))-parseFloat($.css($container[0],\"paddingBottom\",!0))-parseFloat($.css($headerScroller[0],\"height\"))-getVBoxDelta($headerScroller)-(options.showTopPanel?options.topPanelHeight+getVBoxDelta($topPanelScroller):0)-(options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0)-(options.createFooterRow&&options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0)-(options.createPreHeaderPanel&&options.showPreHeaderPanel?options.preHeaderPanelHeight+getVBoxDelta($preHeaderPanelScroller):0)}function resizeCanvas(){initialized&&(viewportH=options.autoHeight?options.rowHeight*getDataLengthIncludingAddNew():getViewportHeight(),numVisibleRows=Math.ceil(viewportH/options.rowHeight),viewportW=parseFloat($.css($container[0],\"width\",!0)),options.autoHeight||$viewport.height(viewportH),scrollbarDimensions&&scrollbarDimensions.width||(scrollbarDimensions=measureScrollbar()),options.forceFitColumns&&autosizeColumns(),updateRowCount(),handleScroll(),lastRenderedScrollLeft=-1,render())}function updatePagingStatusFromView(e){pagingActive=0!==e.pageSize,pagingIsLastPage=e.pageNum==e.totalPages-1}function updateRowCount(){if(initialized){var e=getDataLength(),o=getDataLengthIncludingAddNew()+(options.leaveSpaceForNewRows?numVisibleRows-1:0),t=viewportHasVScroll;viewportHasVScroll=options.alwaysShowVerticalScroll||!options.autoHeight&&o*options.rowHeight>viewportH,viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width,makeActiveCellNormal();var l=e-1;for(var r in rowsCache)r>l&&removeRowFromCache(r);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup(),activeCellNode&&activeRow>l&&resetActiveCell();var i=h;(th=Math.max(options.rowHeight*o,viewportH-scrollbarDimensions.height))<maxSupportedCssHeight?(h=ph=th,n=1,cj=0):(ph=(h=maxSupportedCssHeight)/100,n=Math.floor(th/ph),cj=(th-h)/(n-1)),h!==i&&($canvas.css(\"height\",h),scrollTop=$viewport[0].scrollTop);var s=scrollTop+offset<=th-viewportH;0==th||0==scrollTop?page=offset=0:scrollTo(s?scrollTop+offset:th-viewportH),h!=i&&options.autoHeight&&resizeCanvas(),options.forceFitColumns&&t!=viewportHasVScroll&&autosizeColumns(),updateCanvasWidth(!1)}}function getVisibleRange(e,o){return null==e&&(e=scrollTop),null==o&&(o=scrollLeft),{top:getRowFromPosition(e),bottom:getRowFromPosition(e+viewportH)+1,leftPx:o,rightPx:o+viewportW}}function getRenderedRange(e,o){var t=getVisibleRange(e,o),l=Math.round(viewportH/options.rowHeight),n=options.minRowBuffer;return-1==vScrollDir?(t.top-=l,t.bottom+=n):1==vScrollDir?(t.top-=n,t.bottom+=l):(t.top-=n,t.bottom+=n),t.top=Math.max(0,t.top),t.bottom=Math.min(getDataLengthIncludingAddNew()-1,t.bottom),t.leftPx-=viewportW,t.rightPx+=viewportW,t.leftPx=Math.max(0,t.leftPx),t.rightPx=Math.min(canvasWidth,t.rightPx),t}function ensureCellNodesInRowsCache(e){var o=rowsCache[e];if(o&&o.cellRenderQueue.length)for(var t=o.rowNode.lastChild;o.cellRenderQueue.length;){var l=o.cellRenderQueue.pop();o.cellNodesByColumnIdx[l]=t,t=t.previousSibling}}function cleanUpCells(e,o){var t,l,n=rowsCache[o],r=[];for(var i in n.cellNodesByColumnIdx)if(n.cellNodesByColumnIdx.hasOwnProperty(i)){i|=0;var s=n.cellColSpans[i];(columnPosLeft[i]>e.rightPx||columnPosRight[Math.min(columns.length-1,i+s-1)]<e.leftPx)&&(o==activeRow&&i==activeCell||r.push(i))}for(postProcessgroupId++;null!=(t=r.pop());)l=n.cellNodesByColumnIdx[t],options.enableAsyncPostRenderCleanup&&postProcessedRows[o]&&postProcessedRows[o][t]?queuePostProcessedCellForCleanup(l,t,o):n.rowNode.removeChild(l),delete n.cellColSpans[t],delete n.cellNodesByColumnIdx[t],postProcessedRows[o]&&delete postProcessedRows[o][t]}function cleanUpAndRenderCells(e){for(var o,t,l,n=[],r=[],i=e.top,s=e.bottom;i<=s;i++)if(o=rowsCache[i]){ensureCellNodesInRowsCache(i),cleanUpCells(e,i),t=0;var a=data.getItemMetadata&&data.getItemMetadata(i);a=a&&a.columns;for(var c=getDataItem(i),d=0,u=columns.length;d<u&&!(columnPosLeft[d]>e.rightPx);d++)if(null==(l=o.cellColSpans[d])){if(l=1,a){var h=a[columns[d].id]||a[d];\"*\"===(l=h&&h.colspan||1)&&(l=u-d)}columnPosRight[Math.min(u-1,d+l-1)]>e.leftPx&&(appendCellHtml(n,i,d,l,c),t++),d+=l>1?l-1:0}else d+=l>1?l-1:0;t&&(t,r.push(i))}if(n.length){var p,g,m=document.createElement(\"div\");for(m.innerHTML=n.join(\"\");null!=(p=r.pop());){var v;for(o=rowsCache[p];null!=(v=o.cellRenderQueue.pop());)g=m.lastChild,o.rowNode.appendChild(g),o.cellNodesByColumnIdx[v]=g}}}function renderRows(e){for(var o=$canvas[0],t=[],l=[],n=!1,r=getDataLength(),i=e.top,s=e.bottom;i<=s;i++)rowsCache[i]||(renderedRows++,l.push(i),rowsCache[i]={rowNode:null,cellColSpans:[],cellNodesByColumnIdx:[],cellRenderQueue:[]},appendRowHtml(t,i,e,r),activeCellNode&&activeRow===i&&(n=!0),counter_rows_rendered++);if(l.length){var a=document.createElement(\"div\");a.innerHTML=t.join(\"\");for(i=0,s=l.length;i<s;i++)rowsCache[l[i]].rowNode=o.appendChild(a.firstChild);n&&(activeCellNode=getCellNode(activeRow,activeCell))}}function startPostProcessing(){options.enableAsyncPostRender&&(clearTimeout(h_postrender),h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}function startPostProcessingCleanup(){options.enableAsyncPostRenderCleanup&&(clearTimeout(h_postrenderCleanup),h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay))}function invalidatePostProcessingResults(e){for(var o in postProcessedRows[e])postProcessedRows[e].hasOwnProperty(o)&&(postProcessedRows[e][o]=\"C\");postProcessFromRow=Math.min(postProcessFromRow,e),postProcessToRow=Math.max(postProcessToRow,e),startPostProcessing()}function updateRowPositions(){for(var e in rowsCache)rowsCache[e].rowNode.style.top=getRowTop(e)+\"px\"}function render(){if(initialized){scrollThrottle.dequeue();var e=getVisibleRange(),o=getRenderedRange();cleanupRows(o),lastRenderedScrollLeft!=scrollLeft&&cleanUpAndRenderCells(o),renderRows(o),postProcessFromRow=e.top,postProcessToRow=Math.min(getDataLengthIncludingAddNew()-1,e.bottom),startPostProcessing(),lastRenderedScrollTop=scrollTop,lastRenderedScrollLeft=scrollLeft,h_render=null,trigger(self.onRendered,{startRow:e.top,endRow:e.bottom,grid:self})}}function handleHeaderScroll(){handleElementScroll($headerScroller[0])}function handleHeaderRowScroll(){handleElementScroll($headerRowScroller[0])}function handleFooterRowScroll(){handleElementScroll($footerRowScroller[0])}function handlePreHeaderPanelScroll(){handleElementScroll($preHeaderPanelScroller[0])}function handleElementScroll(e){var o=e.scrollLeft;o!=$viewport[0].scrollLeft&&($viewport[0].scrollLeft=o)}function handleScroll(){scrollTop=$viewport[0].scrollTop,scrollLeft=$viewport[0].scrollLeft;var e=Math.abs(scrollTop-prevScrollTop),o=Math.abs(scrollLeft-prevScrollLeft);if(o&&(prevScrollLeft=scrollLeft,$headerScroller[0].scrollLeft=scrollLeft,$topPanelScroller[0].scrollLeft=scrollLeft,$headerRowScroller[0].scrollLeft=scrollLeft,options.createFooterRow&&($footerRowScroller[0].scrollLeft=scrollLeft),options.createPreHeaderPanel&&($preHeaderPanelScroller[0].scrollLeft=scrollLeft)),e)if(vScrollDir=prevScrollTop<scrollTop?1:-1,prevScrollTop=scrollTop,e<viewportH)scrollTo(scrollTop+offset);else{var t=offset;page=h==viewportH?0:Math.min(n-1,Math.floor(scrollTop*((th-viewportH)/(h-viewportH))*(1/ph))),t!=(offset=Math.round(page*cj))&&invalidateAllRows()}if(o||e){var l=Math.abs(lastRenderedScrollLeft-scrollLeft),r=Math.abs(lastRenderedScrollTop-scrollTop);(l>20||r>20)&&(options.forceSyncScrolling||r<viewportH&&l<viewportW?render():scrollThrottle.enqueue(),trigger(self.onViewportChanged,{}))}trigger(self.onScroll,{scrollLeft,scrollTop})}function ActionThrottle(e,o){var t=!1,l=!1;function n(){l=!1}function r(){t=!0,setTimeout(i,o),e()}function i(){l?(n(),r()):t=!1}return{enqueue:function(){t?l=!0:r()},dequeue:n}}function asyncPostProcessRows(){for(var e=getDataLength();postProcessFromRow<=postProcessToRow;){var o=vScrollDir>=0?postProcessFromRow++:postProcessToRow--,t=rowsCache[o];if(t&&!(o>=e)){for(var l in postProcessedRows[o]||(postProcessedRows[o]={}),ensureCellNodesInRowsCache(o),t.cellNodesByColumnIdx)if(t.cellNodesByColumnIdx.hasOwnProperty(l)){var n=columns[l|=0],r=postProcessedRows[o][l];if(n.asyncPostRender&&\"R\"!==r){var i=t.cellNodesByColumnIdx[l];i&&n.asyncPostRender(i,o,getDataItem(o),n,\"C\"===r),postProcessedRows[o][l]=\"R\"}}return void(h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}}}function asyncPostProcessCleanupRows(){if(postProcessedCleanupQueue.length>0){for(var e=postProcessedCleanupQueue[0].groupId;postProcessedCleanupQueue.length>0&&postProcessedCleanupQueue[0].groupId==e;){var o=postProcessedCleanupQueue.shift();if(\"R\"==o.actionType&&$(o.node).remove(),\"C\"==o.actionType){var t=columns[o.columnIdx];t.asyncPostRenderCleanup&&o.node&&t.asyncPostRenderCleanup(o.node,o.rowIdx,t)}}h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay)}}function updateCellCssStylesOnRenderedRows(e,o){var t,l,n,r;for(var i in rowsCache){if(r=o&&o[i],n=e&&e[i],r)for(l in r)n&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).removeClass(r[l]);if(n)for(l in n)r&&r[l]==n[l]||(t=getCellNode(i,getColumnIndex(l)))&&$(t).addClass(n[l])}}function addCellCssStyles(e,o){if(cellCssClasses[e])throw new Error(\"addCellCssStyles: cell CSS hash with key '\"+e+\"' already exists.\");cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,null),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function removeCellCssStyles(e){cellCssClasses[e]&&(updateCellCssStylesOnRenderedRows(null,cellCssClasses[e]),delete cellCssClasses[e],trigger(self.onCellCssStylesChanged,{key:e,hash:null,grid:self}))}function setCellCssStyles(e,o){var t=cellCssClasses[e];cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,t),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function getCellCssStyles(e){return cellCssClasses[e]}function flashCell(e,o,t){if(t=t||100,rowsCache[e]){var l=$(getCellNode(e,o)),n=function(e){e&&setTimeout((function(){l.queue((function(){l.toggleClass(options.cellFlashingCssClass).dequeue(),n(e-1)}))}),t)};n(4)}}function handleMouseWheel(e){var o=$(e.target).closest(\".slick-row\")[0];o!=rowNodeFromLastMouseWheelEvent&&(zombieRowNodeFromLastMouseWheelEvent&&zombieRowNodeFromLastMouseWheelEvent!=o&&(options.enableAsyncPostRenderCleanup&&zombieRowPostProcessedFromLastMouseWheelEvent?queuePostProcessedRowForCleanup(zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent):$canvas[0].removeChild(zombieRowNodeFromLastMouseWheelEvent),zombieRowNodeFromLastMouseWheelEvent=null,zombieRowCacheFromLastMouseWheelEvent=null,zombieRowPostProcessedFromLastMouseWheelEvent=null,options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()),rowNodeFromLastMouseWheelEvent=o)}function handleDragInit(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragInit,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDragStart(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var l=trigger(self.onDragStart,o,e);return!!e.isImmediatePropagationStopped()&&l}function handleDrag(e,o){return trigger(self.onDrag,o,e)}function handleDragEnd(e,o){trigger(self.onDragEnd,o,e)}function handleKeyDown(e){trigger(self.onKeyDown,{row:activeRow,cell:activeCell},e);var o=e.isImmediatePropagationStopped(),t=Slick.keyCode;if(!o&&!e.shiftKey&&!e.altKey){if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;e.which==t.HOME?o=e.ctrlKey?navigateTop():navigateRowStart():e.which==t.END&&(o=e.ctrlKey?navigateBottom():navigateRowEnd())}if(!o)if(e.shiftKey||e.altKey||e.ctrlKey)e.which!=t.TAB||!e.shiftKey||e.ctrlKey||e.altKey||(o=navigatePrev());else{if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;if(e.which==t.ESCAPE){if(!getEditorLock().isActive())return;cancelEditAndSetFocus()}else e.which==t.PAGE_DOWN?(navigatePageDown(),o=!0):e.which==t.PAGE_UP?(navigatePageUp(),o=!0):e.which==t.LEFT?o=navigateLeft():e.which==t.RIGHT?o=navigateRight():e.which==t.UP?o=navigateUp():e.which==t.DOWN?o=navigateDown():e.which==t.TAB?o=navigateNext():e.which==t.ENTER&&(options.editable&&(currentEditor?activeRow===getDataLength()?navigateDown():commitEditAndSetFocus():getEditorLock().commitCurrentEdit()&&makeActiveCellEditable(void 0,void 0,e)),o=!0)}if(o){e.stopPropagation(),e.preventDefault();try{e.originalEvent.keyCode=0}catch(e){}}}function handleClick(e){currentEditor||(e.target!=document.activeElement||$(e.target).hasClass(\"slick-cell\"))&&setFocus();var o=getCellFromEvent(e);if(o&&(null===currentEditor||activeRow!=o.row||activeCell!=o.cell)&&(trigger(self.onClick,{row:o.row,cell:o.cell},e),!e.isImmediatePropagationStopped()&&canCellBeActive(o.row,o.cell)&&(!getEditorLock().isActive()||getEditorLock().commitCurrentEdit()))){scrollRowIntoView(o.row,!1);var t=e.target&&e.target.className===Slick.preClickClassName,l=columns[o.cell],n=!!(options.editable&&l&&l.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(getCellNode(o.row,o.cell),null,t,n,e)}}function handleContextMenu(e){var o=$(e.target).closest(\".slick-cell\",$canvas);0!==o.length&&(activeCellNode===o[0]&&null!==currentEditor||trigger(self.onContextMenu,{},e))}function handleDblClick(e){var o=getCellFromEvent(e);!o||null!==currentEditor&&activeRow==o.row&&activeCell==o.cell||(trigger(self.onDblClick,{row:o.row,cell:o.cell},e),e.isImmediatePropagationStopped()||options.editable&&gotoCell(o.row,o.cell,!0,e))}function handleHeaderMouseEnter(e){trigger(self.onHeaderMouseEnter,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderMouseLeave(e){trigger(self.onHeaderMouseLeave,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderContextMenu(e){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");trigger(self.onHeaderContextMenu,{column:t},e)}function handleHeaderClick(e){if(!columnResizeDragging){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");t&&trigger(self.onHeaderClick,{column:t},e)}}function handleMouseEnter(e){trigger(self.onMouseEnter,{},e)}function handleMouseLeave(e){trigger(self.onMouseLeave,{},e)}function cellExists(e,o){return!(e<0||e>=getDataLength()||o<0||o>=columns.length)}function getCellFromPoint(e,o){for(var t=getRowFromPosition(o),l=0,n=0,r=0;r<columns.length&&n<e;r++)n+=columns[r].width,l++;return l<0&&(l=0),{row:t,cell:l-1}}function getCellFromNode(e){var o=/l\\d+/.exec(e.className);if(!o)throw new Error(\"getCellFromNode: cannot get cell - \"+e.className);return parseInt(o[0].substr(1,o[0].length-1),10)}function getRowFromNode(e){for(var o in rowsCache)if(rowsCache[o].rowNode===e)return 0|o;return null}function getCellFromEvent(e){var o=$(e.target).closest(\".slick-cell\",$canvas);if(!o.length)return null;var t=getRowFromNode(o[0].parentNode),l=getCellFromNode(o[0]);return null==t||null==l?null:{row:t,cell:l}}function getCellNodeBox(e,o){if(!cellExists(e,o))return null;for(var t=getRowTop(e),l=t+options.rowHeight-1,n=0,r=0;r<o;r++)n+=columns[r].width;return{top:t,left:n,bottom:l,right:n+columns[o].width}}function resetActiveCell(){setActiveCellInternal(null,!1)}function setFocus(){-1==tabbingDirection?$focusSink[0].focus():$focusSink2[0].focus()}function scrollCellIntoView(e,o,t){scrollRowIntoView(e,t);var l=getColspan(e,o);internalScrollColumnIntoView(columnPosLeft[o],columnPosRight[o+(l>1?l-1:0)])}function internalScrollColumnIntoView(e,o){var t=scrollLeft+viewportW;e<scrollLeft?($viewport.scrollLeft(e),handleScroll(),render()):o>t&&($viewport.scrollLeft(Math.min(e,o-$viewport[0].clientWidth)),handleScroll(),render())}function scrollColumnIntoView(e){internalScrollColumnIntoView(columnPosLeft[e],columnPosRight[e])}function setActiveCellInternal(e,o,t,l,n){null!==activeCellNode&&(makeActiveCellNormal(),$(activeCellNode).removeClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).removeClass(\"active\"));null!=(activeCellNode=e)?(activeRow=getRowFromNode(activeCellNode.parentNode),activeCell=activePosX=getCellFromNode(activeCellNode),null==o&&(o=activeRow==getDataLength()||options.autoEdit),options.showCellSelection&&($(activeCellNode).addClass(\"active\"),$(rowsCache[activeRow].rowNode).addClass(\"active\")),options.editable&&o&&isCellPotentiallyEditable(activeRow,activeCell)&&(clearTimeout(h_editorLoader),options.asyncEditorLoading?h_editorLoader=setTimeout((function(){makeActiveCellEditable(void 0,t,n)}),options.asyncEditorLoadDelay):makeActiveCellEditable(void 0,t,n))):activeRow=activeCell=null,l||trigger(self.onActiveCellChanged,getActiveCell())}function clearTextSelection(){if(document.selection&&document.selection.empty)try{document.selection.empty()}catch(e){}else if(window.getSelection){var e=window.getSelection();e&&e.removeAllRanges&&e.removeAllRanges()}}function isCellPotentiallyEditable(e,o){var t=getDataLength();return!(e<t&&!getDataItem(e))&&(!(columns[o].cannotTriggerInsert&&e>=t)&&!!getEditor(e,o))}function makeActiveCellNormal(){if(currentEditor){if(trigger(self.onBeforeCellEditorDestroy,{editor:currentEditor}),currentEditor.destroy(),currentEditor=null,activeCellNode){var e=getDataItem(activeRow);if($(activeCellNode).removeClass(\"editable invalid\"),e){var o=columns[activeCell];applyFormatResultToCellNode(getFormatter(activeRow,o)(activeRow,activeCell,getDataItemValueForColumn(e,o),o,e,self),activeCellNode),invalidatePostProcessingResults(activeRow)}}navigator.userAgent.toLowerCase().match(/msie/)&&clearTextSelection(),getEditorLock().deactivate(editController)}}function makeActiveCellEditable(e,o,t){if(activeCellNode){if(!options.editable)throw new Error(\"Grid : makeActiveCellEditable : should never get called when options.editable is false\");if(clearTimeout(h_editorLoader),isCellPotentiallyEditable(activeRow,activeCell)){var l=columns[activeCell],n=getDataItem(activeRow);if(!1!==trigger(self.onBeforeEditCell,{row:activeRow,cell:activeCell,item:n,column:l})){getEditorLock().activate(editController),$(activeCellNode).addClass(\"editable\");var r=e||getEditor(activeRow,activeCell);e||r.suppressClearOnEdit||(activeCellNode.innerHTML=\"\"),currentEditor=new r({grid:self,gridPosition:absBox($container[0]),position:absBox(activeCellNode),container:activeCellNode,column:l,item:n||{},event:t,commitChanges:commitEditAndSetFocus,cancelChanges:cancelEditAndSetFocus}),n&&(currentEditor.loadValue(n),o&&currentEditor.preClick&&currentEditor.preClick()),serializedEditorValue=currentEditor.serializeValue(),currentEditor.position&&handleActiveCellPositionChange()}else setFocus()}}}function commitEditAndSetFocus(){getEditorLock().commitCurrentEdit()&&(setFocus(),options.autoEdit&&navigateDown())}function cancelEditAndSetFocus(){getEditorLock().cancelCurrentEdit()&&setFocus()}function absBox(e){var o={top:e.offsetTop,left:e.offsetLeft,bottom:0,right:0,width:$(e).outerWidth(),height:$(e).outerHeight(),visible:!0};o.bottom=o.top+o.height,o.right=o.left+o.width;for(var t=e.offsetParent;(e=e.parentNode)!=document.body&&null!=e;)o.visible&&e.scrollHeight!=e.offsetHeight&&\"visible\"!=$(e).css(\"overflowY\")&&(o.visible=o.bottom>e.scrollTop&&o.top<e.scrollTop+e.clientHeight),o.visible&&e.scrollWidth!=e.offsetWidth&&\"visible\"!=$(e).css(\"overflowX\")&&(o.visible=o.right>e.scrollLeft&&o.left<e.scrollLeft+e.clientWidth),o.left-=e.scrollLeft,o.top-=e.scrollTop,e===t&&(o.left+=e.offsetLeft,o.top+=e.offsetTop,t=e.offsetParent),o.bottom=o.top+o.height,o.right=o.left+o.width;return o}function getActiveCellPosition(){return absBox(activeCellNode)}function getGridPosition(){return absBox($container[0])}function handleActiveCellPositionChange(){if(activeCellNode&&(trigger(self.onActiveCellPositionChanged,{}),currentEditor)){var e=getActiveCellPosition();currentEditor.show&&currentEditor.hide&&(e.visible?currentEditor.show():currentEditor.hide()),currentEditor.position&&currentEditor.position(e)}}function getCellEditor(){return currentEditor}function getActiveCell(){return activeCellNode?{row:activeRow,cell:activeCell}:null}function getActiveCellNode(){return activeCellNode}function scrollRowIntoView(e,o){var t=e*options.rowHeight,l=(e+1)*options.rowHeight-viewportH+(viewportHasHScroll?scrollbarDimensions.height:0);(e+1)*options.rowHeight>scrollTop+viewportH+offset?(scrollTo(o?t:l),render()):e*options.rowHeight<scrollTop+offset&&(scrollTo(o?l:t),render())}function scrollRowToTop(e){scrollTo(e*options.rowHeight),render()}function scrollPage(e){var o=e*numVisibleRows;if(scrollTo((getRowFromPosition(scrollTop)+o)*options.rowHeight),render(),options.enableCellNavigation&&null!=activeRow){var t=activeRow+o,l=getDataLengthIncludingAddNew();t>=l&&(t=l-1),t<0&&(t=0);for(var n=0,r=null,i=activePosX;n<=activePosX;)canCellBeActive(t,n)&&(r=n),n+=getColspan(t,n);null!==r?(setActiveCellInternal(getCellNode(t,r)),activePosX=i):resetActiveCell()}}function navigatePageDown(){scrollPage(1)}function navigatePageUp(){scrollPage(-1)}function navigateTop(){navigateToRow(0)}function navigateBottom(){navigateToRow(getDataLength()-1)}function navigateToRow(e){var o=getDataLength();if(!o)return!0;if(e<0?e=0:e>=o&&(e=o-1),scrollCellIntoView(e,0,!0),options.enableCellNavigation&&null!=activeRow){for(var t=0,l=null,n=activePosX;t<=activePosX;)canCellBeActive(e,t)&&(l=t),t+=getColspan(e,t);null!==l?(setActiveCellInternal(getCellNode(e,l)),activePosX=n):resetActiveCell()}return!0}function getColspan(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e);if(!t||!t.columns)return 1;var l=t.columns[columns[o].id]||t.columns[o],n=l&&l.colspan;return n=\"*\"===n?columns.length-o:n||1}function findFirstFocusableCell(e){for(var o=0;o<columns.length;){if(canCellBeActive(e,o))return o;o+=getColspan(e,o)}return null}function findLastFocusableCell(e){for(var o=0,t=null;o<columns.length;)canCellBeActive(e,o)&&(t=o),o+=getColspan(e,o);return t}function gotoRight(e,o,t){if(o>=columns.length)return null;do{o+=getColspan(e,o)}while(o<columns.length&&!canCellBeActive(e,o));return o<columns.length?{row:e,cell:o,posX:o}:null}function gotoLeft(e,o,t){if(o<=0)return null;var l=findFirstFocusableCell(e);if(null===l||l>=o)return null;for(var n,r={row:e,cell:l,posX:l};;){if(!(n=gotoRight(r.row,r.cell,r.posX)))return null;if(n.cell>=o)return r;r=n}}function gotoDown(e,o,t){for(var l,n=getDataLengthIncludingAddNew();;){if(++e>=n)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoUp(e,o,t){for(var l;;){if(--e<0)return null;for(l=o=0;o<=t;)l=o,o+=getColspan(e,o);if(canCellBeActive(e,l))return{row:e,cell:l,posX:t}}}function gotoNext(e,o,t){if(null==e&&null==o&&canCellBeActive(e=o=t=0,o))return{row:e,cell:o,posX:o};var l=gotoRight(e,o,t);if(l)return l;var n=null,r=getDataLengthIncludingAddNew();for(e===r-1&&e--;++e<r;)if(null!==(n=findFirstFocusableCell(e)))return{row:e,cell:n,posX:n};return null}function gotoPrev(e,o,t){if(null==e&&null==o&&canCellBeActive(e=getDataLengthIncludingAddNew()-1,o=t=columns.length-1))return{row:e,cell:o,posX:o};for(var l,n;!l&&!(l=gotoLeft(e,o,t));){if(--e<0)return null;o=0,null!==(n=findLastFocusableCell(e))&&(l={row:e,cell:n,posX:n})}return l}function gotoRowStart(e,o,t){var l=findFirstFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function gotoRowEnd(e,o,t){var l=findLastFocusableCell(e);return null===l?null:{row:e,cell:l,posX:l}}function navigateRight(){return navigate(\"right\")}function navigateLeft(){return navigate(\"left\")}function navigateDown(){return navigate(\"down\")}function navigateUp(){return navigate(\"up\")}function navigateNext(){return navigate(\"next\")}function navigatePrev(){return navigate(\"prev\")}function navigateRowStart(){return navigate(\"home\")}function navigateRowEnd(){return navigate(\"end\")}function navigate(e){if(!options.enableCellNavigation)return!1;if(!activeCellNode&&\"prev\"!=e&&\"next\"!=e)return!1;if(!getEditorLock().commitCurrentEdit())return!0;setFocus();tabbingDirection={up:-1,down:1,left:-1,right:1,prev:-1,next:1,home:-1,end:1}[e];var o=(0,{up:gotoUp,down:gotoDown,left:gotoLeft,right:gotoRight,prev:gotoPrev,next:gotoNext,home:gotoRowStart,end:gotoRowEnd}[e])(activeRow,activeCell,activePosX);if(o){var t=o.row==getDataLength();return scrollCellIntoView(o.row,o.cell,!t&&options.emulatePagingWhenScrolling),setActiveCellInternal(getCellNode(o.row,o.cell)),activePosX=o.posX,!0}return setActiveCellInternal(getCellNode(activeRow,activeCell)),!1}function getCellNode(e,o){return rowsCache[e]?(ensureCellNodesInRowsCache(e),rowsCache[e].cellNodesByColumnIdx[o]):null}function setActiveCell(e,o,t,l,n){initialized&&(e>getDataLength()||e<0||o>=columns.length||o<0||options.enableCellNavigation&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t,l,n)))}function canCellBeActive(e,o){if(!options.enableCellNavigation||e>=getDataLengthIncludingAddNew()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.focusable)return!!t.focusable;var l=t&&t.columns;return l&&l[columns[o].id]&&void 0!==l[columns[o].id].focusable?!!l[columns[o].id].focusable:l&&l[o]&&void 0!==l[o].focusable?!!l[o].focusable:!!columns[o].focusable}function canCellBeSelected(e,o){if(e>=getDataLength()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.selectable)return!!t.selectable;var l=t&&t.columns&&(t.columns[columns[o].id]||t.columns[o]);return l&&void 0!==l.selectable?!!l.selectable:!!columns[o].selectable}function gotoCell(e,o,t,l){initialized&&(canCellBeActive(e,o)&&getEditorLock().commitCurrentEdit()&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t||e===getDataLength()||options.autoEdit,null,options.editable,l),currentEditor||setFocus()))}function commitCurrentEdit(){var e=getDataItem(activeRow),o=columns[activeCell];if(currentEditor){if(currentEditor.isValueChanged()){var t=currentEditor.validate();if(t.valid){if(activeRow<getDataLength()){var l={row:activeRow,cell:activeCell,editor:currentEditor,serializedValue:currentEditor.serializeValue(),prevSerializedValue:serializedEditorValue,execute:function(){this.editor.applyValue(e,this.serializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})},undo:function(){this.editor.applyValue(e,this.prevSerializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})}};options.editCommandHandler?(makeActiveCellNormal(),options.editCommandHandler(e,o,l)):(l.execute(),makeActiveCellNormal())}else{var n={};currentEditor.applyValue(n,currentEditor.serializeValue()),makeActiveCellNormal(),trigger(self.onAddNewRow,{item:n,column:o})}return!getEditorLock().isActive()}return $(activeCellNode).removeClass(\"invalid\"),$(activeCellNode).width(),$(activeCellNode).addClass(\"invalid\"),trigger(self.onValidationError,{editor:currentEditor,cellNode:activeCellNode,validationResults:t,row:activeRow,cell:activeCell,column:o}),currentEditor.focus(),!1}makeActiveCellNormal()}return!0}function cancelCurrentEdit(){return makeActiveCellNormal(),!0}function rowsToRanges(e){for(var o=[],t=columns.length-1,l=0;l<e.length;l++)o.push(new Slick.Range(e[l],0,e[l],t));return o}function getSelectedRows(){if(!selectionModel)throw new Error(\"Selection model is not set\");return selectedRows}function setSelectedRows(e){if(!selectionModel)throw new Error(\"Selection model is not set\");self&&self.getEditorLock&&!self.getEditorLock().isActive()&&selectionModel.setSelectedRanges(rowsToRanges(e))}this.debug=function(){var e=\"\";e+=\"\\ncounter_rows_rendered:  \"+counter_rows_rendered,e+=\"\\ncounter_rows_removed:  \"+counter_rows_removed,e+=\"\\nrenderedRows:  \"+renderedRows,e+=\"\\nnumVisibleRows:  \"+numVisibleRows,e+=\"\\nmaxSupportedCssHeight:  \"+maxSupportedCssHeight,e+=\"\\nn(umber of pages):  \"+n,e+=\"\\n(current) page:  \"+page,e+=\"\\npage height (ph):  \"+ph,e+=\"\\nvScrollDir:  \"+vScrollDir,alert(e)},this.eval=function(expr){return eval(expr)},$.extend(this,{slickGridVersion:\"2.3.23\",onScroll:new Slick.Event,onSort:new Slick.Event,onHeaderMouseEnter:new Slick.Event,onHeaderMouseLeave:new Slick.Event,onHeaderContextMenu:new Slick.Event,onHeaderClick:new Slick.Event,onHeaderCellRendered:new Slick.Event,onBeforeHeaderCellDestroy:new Slick.Event,onHeaderRowCellRendered:new Slick.Event,onFooterRowCellRendered:new Slick.Event,onBeforeHeaderRowCellDestroy:new Slick.Event,onBeforeFooterRowCellDestroy:new Slick.Event,onMouseEnter:new Slick.Event,onMouseLeave:new Slick.Event,onClick:new Slick.Event,onDblClick:new Slick.Event,onContextMenu:new Slick.Event,onKeyDown:new Slick.Event,onAddNewRow:new Slick.Event,onBeforeAppendCell:new Slick.Event,onValidationError:new Slick.Event,onViewportChanged:new Slick.Event,onColumnsReordered:new Slick.Event,onColumnsResized:new Slick.Event,onCellChange:new Slick.Event,onBeforeEditCell:new Slick.Event,onBeforeCellEditorDestroy:new Slick.Event,onBeforeDestroy:new Slick.Event,onActiveCellChanged:new Slick.Event,onActiveCellPositionChanged:new Slick.Event,onDragInit:new Slick.Event,onDragStart:new Slick.Event,onDrag:new Slick.Event,onDragEnd:new Slick.Event,onSelectedRowsChanged:new Slick.Event,onCellCssStylesChanged:new Slick.Event,onAutosizeColumns:new Slick.Event,onRendered:new Slick.Event,registerPlugin,unregisterPlugin,getColumns,setColumns,getColumnIndex,updateColumnHeader,setSortColumn,setSortColumns,getSortColumns,autosizeColumns,getOptions,setOptions,getData,getDataLength,getDataItem,setData,getSelectionModel,setSelectionModel,getSelectedRows,setSelectedRows,getContainerNode,updatePagingStatusFromView,render,invalidate,invalidateRow,invalidateRows,invalidateAllRows,updateCell,updateRow,getViewport:getVisibleRange,getRenderedRange,resizeCanvas,updateRowCount,scrollRowIntoView,scrollRowToTop,scrollCellIntoView,scrollColumnIntoView,getCanvasNode,getUID,getHeaderColumnWidthDiff,getScrollbarDimensions,getHeadersWidth,getCanvasWidth,focus:setFocus,scrollTo,getCellFromPoint,getCellFromEvent,getActiveCell,setActiveCell,getActiveCellNode,getActiveCellPosition,resetActiveCell,editActiveCell:makeActiveCellEditable,getCellEditor,getCellNode,getCellNodeBox,canCellBeSelected,canCellBeActive,navigatePrev,navigateNext,navigateUp,navigateDown,navigateLeft,navigateRight,navigatePageUp,navigatePageDown,navigateTop,navigateBottom,navigateRowStart,navigateRowEnd,gotoCell,getTopPanel,setTopPanelVisibility,getPreHeaderPanel,setPreHeaderPanelVisibility,getHeader,getHeaderColumn,setHeaderRowVisibility,getHeaderRow,getHeaderRowColumn,setFooterRowVisibility,getFooterRow,getFooterRowColumn,getGridPosition,flashCell,addCellCssStyles,setCellCssStyles,removeCellCssStyles,getCellCssStyles,init:finishInitialization,destroy,getEditorLock,getEditController}),init()}module.exports={Grid:SlickGrid}},\n      450: function _(t,e,a){\n      /*!\n           * jquery.event.drag - v 2.3.0\n           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n           * Open Source MIT License - http://threedubmedia.com/code/license\n           */\n      var n=t(443);n.fn.drag=function(t,e,a){var r=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==r.indexOf(\"drag\")&&(r=\"drag\"+r),a=(t==o?e:a)||{},o?this.on(r,a,o):this.trigger(r)};var r=n.event,o=r.special,i=o.drag={defaults:{which:1,distance:0,not:\":input\",handle:null,relative:!1,drop:!0,click:!1},datakey:\"dragdata\",noBubble:!0,add:function(t){var e=n.data(this,i.datakey),a=t.data||{};e.related+=1,n.each(i.defaults,(function(t,n){void 0!==a[t]&&(e[t]=a[t])}))},remove:function(){n.data(this,i.datakey).related-=1},setup:function(){if(!n.data(this,i.datakey)){var t=n.extend({related:0},i.defaults);n.data(this,i.datakey,t),r.add(this,\"touchstart mousedown\",i.init,t),this.attachEvent&&this.attachEvent(\"ondragstart\",i.dontstart)}},teardown:function(){(n.data(this,i.datakey)||{}).related||(n.removeData(this,i.datakey),r.remove(this,\"touchstart mousedown\",i.init),i.textselect(!0),this.detachEvent&&this.detachEvent(\"ondragstart\",i.dontstart))},init:function(t){if(!i.touched){var e,a=t.data;if(!(0!=t.which&&a.which>0&&t.which!=a.which)&&!n(t.target).is(a.not)&&(!a.handle||n(t.target).closest(a.handle,t.currentTarget).length)&&(i.touched=\"touchstart\"==t.type?this:null,a.propagates=1,a.mousedown=this,a.interactions=[i.interaction(this,a)],a.target=t.target,a.pageX=t.pageX,a.pageY=t.pageY,a.dragging=null,e=i.hijack(t,\"draginit\",a),a.propagates))return(e=i.flatten(e))&&e.length&&(a.interactions=[],n.each(e,(function(){a.interactions.push(i.interaction(this,a))}))),a.propagates=a.interactions.length,!1!==a.drop&&o.drop&&o.drop.handler(t,a),i.textselect(!1),i.touched?r.add(i.touched,\"touchmove touchend\",i.handler,a):r.add(document,\"mousemove mouseup\",i.handler,a),!(!i.touched||a.live)&&void 0}},interaction:function(t,e){var a=t&&t.ownerDocument&&n(t)[e.relative?\"position\":\"offset\"]()||{top:0,left:0};return{drag:t,callback:new i.callback,droppable:[],offset:a}},handler:function(t){var e=t.data;switch(t.type){case!e.dragging&&\"touchmove\":t.preventDefault();case!e.dragging&&\"mousemove\":if(Math.pow(t.pageX-e.pageX,2)+Math.pow(t.pageY-e.pageY,2)<Math.pow(e.distance,2))break;t.target=e.target,i.hijack(t,\"dragstart\",e),e.propagates&&(e.dragging=!0);case\"touchmove\":t.preventDefault();case\"mousemove\":if(e.dragging){if(i.hijack(t,\"drag\",e),e.propagates){!1!==e.drop&&o.drop&&o.drop.handler(t,e);break}t.type=\"mouseup\"}case\"touchend\":case\"mouseup\":default:i.touched?r.remove(i.touched,\"touchmove touchend\",i.handler):r.remove(document,\"mousemove mouseup\",i.handler),e.dragging&&(!1!==e.drop&&o.drop&&o.drop.handler(t,e),i.hijack(t,\"dragend\",e)),i.textselect(!0),!1===e.click&&e.dragging&&n.data(e.mousedown,\"suppress.click\",(new Date).getTime()+5),e.dragging=i.touched=!1}},hijack:function(t,e,a,o,d){if(a){var s,c,l,p={event:t.originalEvent,type:t.type},u=e.indexOf(\"drop\")?\"drag\":\"drop\",g=o||0,h=isNaN(o)?a.interactions.length:o;t.type=e;var f=function(){};t.originalEvent=new n.Event(p.event,{preventDefault:f,stopPropagation:f,stopImmediatePropagation:f}),a.results=[];do{if(c=a.interactions[g]){if(\"dragend\"!==e&&c.cancelled)continue;l=i.properties(t,a,c),c.results=[],n(d||c[u]||a.droppable).each((function(o,d){if(l.target=d,t.isPropagationStopped=function(){return!1},!1===(s=d?r.dispatch.call(d,t,l):null)?(\"drag\"==u&&(c.cancelled=!0,a.propagates-=1),\"drop\"==e&&(c[u][o]=null)):\"dropinit\"==e&&c.droppable.push(i.element(s)||d),\"dragstart\"==e&&(c.proxy=n(i.element(s)||c.drag)[0]),c.results.push(s),delete t.result,\"dropinit\"!==e)return s})),a.results[g]=i.flatten(c.results),\"dropinit\"==e&&(c.droppable=i.flatten(c.droppable)),\"dragstart\"!=e||c.cancelled||l.update()}}while(++g<h);return t.type=p.type,t.originalEvent=p.event,i.flatten(a.results)}},properties:function(t,e,a){var n=a.callback;return n.drag=a.drag,n.proxy=a.proxy||a.drag,n.startX=e.pageX,n.startY=e.pageY,n.deltaX=t.pageX-e.pageX,n.deltaY=t.pageY-e.pageY,n.originalX=a.offset.left,n.originalY=a.offset.top,n.offsetX=n.originalX+n.deltaX,n.offsetY=n.originalY+n.deltaY,n.drop=i.flatten((a.drop||[]).slice()),n.available=i.flatten((a.droppable||[]).slice()),n},element:function(t){if(t&&(t.jquery||1==t.nodeType))return t},flatten:function(t){return n.map(t,(function(t){return t&&t.jquery?n.makeArray(t):t&&t.length?i.flatten(t):t}))},textselect:function(t){n(document)[t?\"off\":\"on\"](\"selectstart\",i.dontstart).css(\"MozUserSelect\",t?\"\":\"none\"),document.unselectable=t?\"off\":\"on\"},dontstart:function(){return!1},callback:function(){}};i.callback.prototype={update:function(){o.drop&&this.available.length&&n.each(this.available,(function(t){o.drop.locate(this,t)}))}};var d=r.dispatch;r.dispatch=function(t){if(!(n.data(this,\"suppress.\"+t.type)-(new Date).getTime()>0))return d.apply(this,arguments);n.removeData(this,\"suppress.\"+t.type)},o.draginit=o.dragstart=o.dragend=i},\n      451: function _(t,e,a){\n      /*!\n           * jquery.event.drop - v 2.3.0\n           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n           * Open Source MIT License - http://threedubmedia.com/code/license\n           */\n      var n=t(443);n.fn.drop=function(t,e,a){var i=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==i.indexOf(\"drop\")&&(i=\"drop\"+i),a=(t==o?e:a)||{},o?this.on(i,a,o):this.trigger(i)},n.drop=function(t){t=t||{},o.multi=!0===t.multi?1/0:!1===t.multi?1:isNaN(t.multi)?o.multi:t.multi,o.delay=t.delay||o.delay,o.tolerance=n.isFunction(t.tolerance)?t.tolerance:null===t.tolerance?null:o.tolerance,o.mode=t.mode||o.mode||\"intersect\"};var i=n.event.special,o=n.event.special.drop={multi:1,delay:20,mode:\"overlap\",targets:[],datakey:\"dropdata\",noBubble:!0,add:function(t){n.data(this,o.datakey).related+=1},remove:function(){n.data(this,o.datakey).related-=1},setup:function(){if(!n.data(this,o.datakey)){n.data(this,o.datakey,{related:0,active:[],anyactive:0,winner:0,location:{}}),o.targets.push(this)}},teardown:function(){if(!(n.data(this,o.datakey)||{}).related){n.removeData(this,o.datakey);var t=this;o.targets=n.grep(o.targets,(function(e){return e!==t}))}},handler:function(t,e){var a;if(e)switch(t.type){case\"mousedown\":case\"touchstart\":a=n(o.targets),\"string\"==typeof e.drop&&(a=a.filter(e.drop)),a.each((function(){var t=n.data(this,o.datakey);t.active=[],t.anyactive=0,t.winner=0})),e.droppable=a,i.drag.hijack(t,\"dropinit\",e);break;case\"mousemove\":case\"touchmove\":o.event=t,o.timer||o.tolerate(e);break;case\"mouseup\":case\"touchend\":o.timer=clearTimeout(o.timer),e.propagates&&(i.drag.hijack(t,\"drop\",e),i.drag.hijack(t,\"dropend\",e))}},locate:function(t,e){var a=n.data(t,o.datakey),i=n(t),r=i.offset()||{},d=i.outerHeight(),l=i.outerWidth(),c={elem:t,width:l,height:d,top:r.top,left:r.left,right:r.left+l,bottom:r.top+d};return a&&(a.location=c,a.index=e,a.elem=t),c},contains:function(t,e){return(e[0]||e.left)>=t.left&&(e[0]||e.right)<=t.right&&(e[1]||e.top)>=t.top&&(e[1]||e.bottom)<=t.bottom},modes:{intersect:function(t,e,a){return this.contains(a,[t.pageX,t.pageY])?1e9:this.modes.overlap.apply(this,arguments)},overlap:function(t,e,a){return Math.max(0,Math.min(a.bottom,e.bottom)-Math.max(a.top,e.top))*Math.max(0,Math.min(a.right,e.right)-Math.max(a.left,e.left))},fit:function(t,e,a){return this.contains(a,e)?1:0},middle:function(t,e,a){return this.contains(a,[e.left+.5*e.width,e.top+.5*e.height])?1:0}},sort:function(t,e){return e.winner-t.winner||t.index-e.index},tolerate:function(t){var 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i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}function a(e){var t=this.selectionStart,i=this.value.length;(e.keyCode===n.ui.keyCode.LEFT&&t>0||e.keyCode===n.ui.keyCode.RIGHT&&t<i-1)&&e.stopImmediatePropagation()}function s(e){e.keyCode!==n.ui.keyCode.LEFT&&e.keyCode!==n.ui.keyCode.RIGHT||e.stopImmediatePropagation()}l.DefaultDecimalPlaces=null,l.AllowEmptyValue=!1,t.exports={Editors:{Text:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.getValue=function(){return t.val()},this.setValue=function(e){t.val(e)},this.loadValue=function(n){i=n[e.column.field]||\"\",t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Integer:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid integer\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Float:l,Date:function(e){var t,i,o=!1;this.init=function(){(t=n(\"<INPUT type=text class='editor-text' />\")).appendTo(e.container),t.focus().select(),t.datepicker({showOn:\"button\",buttonImageOnly:!0,beforeShow:function(){o=!0},onClose:function(){o=!1}}),t.width(t.width()-18)},this.destroy=function(){n.datepicker.dpDiv.stop(!0,!0),t.datepicker(\"hide\"),t.datepicker(\"destroy\"),t.remove()},this.show=function(){o&&n.datepicker.dpDiv.stop(!0,!0).show()},this.hide=function(){o&&n.datepicker.dpDiv.stop(!0,!0).hide()},this.position=function(e){o&&n.datepicker.dpDiv.css(\"top\",e.top+30).css(\"left\",e.left)},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},YesNoSelect:function(e){var t,i;this.init=function(){(t=n(\"<SELECT tabIndex='0' class='editor-yesno'><OPTION value='yes'>Yes</OPTION><OPTION value='no'>No</OPTION></SELECT>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){t.val((i=n[e.column.field])?\"yes\":\"no\"),t.select()},this.serializeValue=function(){return\"yes\"==t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return t.val()!=i},this.validate=function(){return{valid:!0,msg:null}},this.init()},Checkbox:function(e){var t,i;this.init=function(){(t=n(\"<INPUT type=checkbox value='true' class='editor-checkbox' hideFocus>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){(i=!!n[e.column.field])?t.prop(\"checked\",!0):t.prop(\"checked\",!1)},this.preClick=function(){t.prop(\"checked\",!t.prop(\"checked\"))},this.serializeValue=function(){return t.prop(\"checked\")},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return this.serializeValue()!==i},this.validate=function(){return{valid:!0,msg:null}},this.init()},PercentComplete:function(e){var t,i,o;this.init=function(){(t=n(\"<INPUT type=text class='editor-percentcomplete' />\")).width(n(e.container).innerWidth()-25),t.appendTo(e.container),(i=n(\"<div class='editor-percentcomplete-picker' />\").appendTo(e.container)).append(\"<div class='editor-percentcomplete-helper'><div class='editor-percentcomplete-wrapper'><div class='editor-percentcomplete-slider' /><div class='editor-percentcomplete-buttons' /></div></div>\"),i.find(\".editor-percentcomplete-buttons\").append(\"<button val=0>Not started</button><br/><button val=50>In Progress</button><br/><button val=100>Complete</button>\"),t.focus().select(),i.find(\".editor-percentcomplete-slider\").slider({orientation:\"vertical\",range:\"min\",value:o,slide:function(e,i){t.val(i.value)}}),i.find(\".editor-percentcomplete-buttons button\").on(\"click\",(function(e){t.val(n(this).attr(\"val\")),i.find(\".editor-percentcomplete-slider\").slider(\"value\",n(this).attr(\"val\"))}))},this.destroy=function(){t.remove(),i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(o=i[e.column.field]),t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==o)&&(parseInt(t.val(),10)||0)!=o},this.validate=function(){return isNaN(parseInt(t.val(),10))?{valid:!1,msg:\"Please enter a valid positive number\"}:{valid:!0,msg:null}},this.init()},LongText:function(e){var t,i,l,a=this;this.init=function(){var o=n(\"body\");e.grid.getOptions().editorCellNavOnLRKeys;i=n(\"<DIV style='z-index:10000;position:absolute;background:white;padding:5px;border:3px solid gray; -moz-border-radius:10px; border-radius:10px;'/>\").appendTo(o),t=n(\"<TEXTAREA hidefocus rows=5 style='background:white;width:250px;height:80px;border:0;outline:0'>\").appendTo(i),n(\"<DIV style='text-align:right'><BUTTON>Save</BUTTON><BUTTON>Cancel</BUTTON></DIV>\").appendTo(i),i.find(\"button:first\").on(\"click\",this.save),i.find(\"button:last\").on(\"click\",this.cancel),t.on(\"keydown\",this.handleKeyDown),a.position(e.position),t.focus().select()},this.handleKeyDown=function(t){if(t.which==o.keyCode.ENTER&&t.ctrlKey)a.save();else if(t.which==o.keyCode.ESCAPE)t.preventDefault(),a.cancel();else if(t.which==o.keyCode.TAB&&t.shiftKey)t.preventDefault(),e.grid.navigatePrev();else if(t.which==o.keyCode.TAB)t.preventDefault(),e.grid.navigateNext();else if((t.which==n.ui.keyCode.LEFT||t.which==n.ui.keyCode.RIGHT)&&e.grid.getOptions().editorCellNavOnLRKeys){var i=this.selectionStart,l=this.value.length;t.keyCode===n.ui.keyCode.LEFT&&0===i&&e.grid.navigatePrev(),t.keyCode===n.ui.keyCode.RIGHT&&i>=l-1&&e.grid.navigateNext()}},this.save=function(){e.commitChanges()},this.cancel=function(){t.val(l),e.cancelChanges()},this.hide=function(){i.hide()},this.show=function(){i.show()},this.position=function(e){i.css(\"top\",e.top-5).css(\"left\",e.left-5)},this.destroy=function(){i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(l=i[e.column.field]),t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"==t.val()&&null==l)&&t.val()!=l},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}}}},\n      454: function _(e,n,r){e(445);n.exports={Formatters:{PercentComplete:function(e,n,r,t,c){return null==r||\"\"===r?\"-\":r<50?\"<span style='color:red;font-weight:bold;'>\"+r+\"%</span>\":\"<span style='color:green'>\"+r+\"%</span>\"},PercentCompleteBar:function(e,n,r,t,c){return null==r||\"\"===r?\"\":\"<span class='percent-complete-bar' style='background:\"+(r<30?\"red\":r<70?\"silver\":\"green\")+\";width:\"+r+\"%'></span>\"},YesNo:function(e,n,r,t,c){return r?\"Yes\":\"No\"},Checkmark:function(e,n,r,t,c){return r?\"<img src='../images/tick.png'>\":\"\"},Checkbox:function(e,n,r,t,c){return'<img class=\"slick-edit-preclick\" src=\"../images/'+(r?\"CheckboxY\":\"CheckboxN\")+'.png\">'}}}},\n      455: function _(t,o,r){var e=t(443),n=t(445);o.exports={RemoteModel:function(){var t={length:0},o=\"\",r=null,a=1,l=null,i=null,s=new n.Event,u=new n.Event;function f(){for(var o in t)delete t[o];t.length=0}function c(n,f){if(i){i.abort();for(var c=i.fromPage;c<=i.toPage;c++)t[50*c]=void 0}n<0&&(n=0),t.length>0&&(f=Math.min(f,t.length-1));for(var d=Math.floor(n/50),v=Math.floor(f/50);void 0!==t[50*d]&&d<v;)d++;for(;void 0!==t[50*v]&&d<v;)v--;if(d>v||d==v&&void 0!==t[50*d])u.notify({from:n,to:f});else{var m=\"http://octopart.com/api/v3/parts/search?apikey=68b25f31&include[]=short_description&show[]=uid&show[]=manufacturer&show[]=mpn&show[]=brand&show[]=octopart_url&show[]=short_description&q=\"+o+\"&start=\"+50*d+\"&limit=\"+(50*(v-d)+50);null!=r&&(m+=\"&sortby=\"+r+(a>0?\"+asc\":\"+desc\")),null!=l&&clearTimeout(l),l=setTimeout((function(){for(var o=d;o<=v;o++)t[50*o]=null;s.notify({from:n,to:f}),(i=e.jsonp({url:m,callbackParameter:\"callback\",cache:!0,success:h,error:function(){!function(t,o){alert(\"error loading pages \"+t+\" to \"+o)}(d,v)}})).fromPage=d,i.toPage=v}),50)}}function h(o){var r=o.request.start,e=r+o.results.length;t.length=Math.min(parseInt(o.hits),1e3);for(var n=0;n<o.results.length;n++){var a=o.results[n].item;t[r+n]=a,t[r+n].index=r+n}i=null,u.notify({from:r,to:e})}return{data:t,clear:f,isDataLoaded:function(o,r){for(var e=o;e<=r;e++)if(null==t[e]||null==t[e])return!1;return!0},ensureData:c,reloadData:function(o,r){for(var e=o;e<=r;e++)delete t[e];c(o,r)},setSort:function(t,o){r=t,a=o,f()},setSearch:function(t){o=t,f()},onDataLoading:s,onDataLoaded:u}}}},\n      456: function _(e,s,t){var a=e(443),o=e(445);s.exports={GroupItemMetadataProvider:function(e){var s,t={checkboxSelect:!1,checkboxSelectCssClass:\"slick-group-select-checkbox\",checkboxSelectPlugin:null,groupCssClass:\"slick-group\",groupTitleCssClass:\"slick-group-title\",totalsCssClass:\"slick-group-totals\",groupFocusable:!0,totalsFocusable:!1,toggleCssClass:\"slick-group-toggle\",toggleExpandedCssClass:\"expanded\",toggleCollapsedCssClass:\"collapsed\",enableExpandCollapse:!0,groupFormatter:function(s,t,a,o,l,c){if(!e.enableExpandCollapse)return l.title;var r=15*l.level+\"px\";return(e.checkboxSelect?'<span class=\"'+e.checkboxSelectCssClass+\" \"+(l.selectChecked?\"checked\":\"unchecked\")+'\"></span>':\"\")+\"<span class='\"+e.toggleCssClass+\" \"+(l.collapsed?e.toggleCollapsedCssClass:e.toggleExpandedCssClass)+\"' style='margin-left:\"+r+\"'></span><span class='\"+e.groupTitleCssClass+\"' level='\"+l.level+\"'>\"+l.title+\"</span>\"},totalsFormatter:function(e,s,t,a,o,l){return a.groupTotalsFormatter&&a.groupTotalsFormatter(o,a,l)||\"\"}};function l(t,l){var c=a(t.target),r=this.getDataItem(l.row);if(r&&r instanceof o.Group&&c.hasClass(e.toggleCssClass)){var n=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:n.top,ignoreDiffsAfter:n.bottom+1}),r.collapsed?this.getData().expandGroup(r.groupingKey):this.getData().collapseGroup(r.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}if(r&&r instanceof o.Group&&c.hasClass(e.checkboxSelectCssClass)){r.selectChecked=!r.selectChecked,c.removeClass(r.selectChecked?\"unchecked\":\"checked\"),c.addClass(r.selectChecked?\"checked\":\"unchecked\");var i=s.getData().mapItemsToRows(r.rows);(r.selectChecked?e.checkboxSelectPlugin.selectRows:e.checkboxSelectPlugin.deSelectRows)(i)}}function c(t,a){if(e.enableExpandCollapse&&t.which==o.keyCode.SPACE){var l=this.getActiveCell();if(l){var c=this.getDataItem(l.row);if(c&&c instanceof o.Group){var r=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:r.top,ignoreDiffsAfter:r.bottom+1}),c.collapsed?this.getData().expandGroup(c.groupingKey):this.getData().collapseGroup(c.groupingKey),t.stopImmediatePropagation(),t.preventDefault()}}}}return e=a.extend(!0,{},t,e),{init:function(e){(s=e).onClick.subscribe(l),s.onKeyDown.subscribe(c)},destroy:function(){s&&(s.onClick.unsubscribe(l),s.onKeyDown.unsubscribe(c))},getGroupRowMetadata:function(s){return{selectable:!1,focusable:e.groupFocusable,cssClasses:e.groupCssClass,columns:{0:{colspan:\"*\",formatter:e.groupFormatter,editor:null}}}},getTotalsRowMetadata:function(s){return{selectable:!1,focusable:e.totalsFocusable,cssClasses:e.totalsCssClass,formatter:e.totalsFormatter,editor:null}}}}}},\n      457: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),n=e(458),c=e(98),a=s.__importStar(e(18));class o extends n.Widget{constructor(e){super(e)}static init_TableWidget(){this.define({source:[a.Instance],view:[a.Instance,()=>new c.CDSView]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.source,this.view.compute_indices())}}t.TableWidget=o,o.__name__=\"TableWidget\",o.init_TableWidget()},\n      458: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(249),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n      459: function _(e,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_data_table=\"bk-data-table\",b.bk_cell_index=\"bk-cell-index\",b.bk_header_index=\"bk-header-index\",b.bk_cell_editor=\"bk-cell-editor\",b.bk_cell_select=\"bk-cell-select\"},\n      460: function _(A,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default='\\n.bk-root {\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /* Menu button */\\n  /* Menu */\\n  /* Menu items */\\n  /* Disabled */\\n}\\n.bk-root .slick-header.ui-state-default,\\n.bk-root .slick-headerrow.ui-state-default,\\n.bk-root .slick-footerrow.ui-state-default,\\n.bk-root .slick-top-panel-scroller.ui-state-default {\\n  width: 100%;\\n  overflow: auto;\\n  position: relative;\\n  border-left: 0px !important;\\n}\\n.bk-root .slick-header.ui-state-default {\\n  overflow: inherit;\\n}\\n.bk-root .slick-header::-webkit-scrollbar,\\n.bk-root .slick-headerrow::-webkit-scrollbar,\\n.bk-root .slick-footerrow::-webkit-scrollbar {\\n  display: none;\\n}\\n.bk-root .slick-header-columns,\\n.bk-root .slick-headerrow-columns,\\n.bk-root .slick-footerrow-columns {\\n  position: relative;\\n  white-space: nowrap;\\n  cursor: default;\\n  overflow: hidden;\\n}\\n.bk-root .slick-header-column.ui-state-default {\\n  position: relative;\\n  display: inline-block;\\n  box-sizing: content-box !important;\\n  /* this here only for Firefox! */\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  height: 16px;\\n  line-height: 16px;\\n  margin: 0;\\n  padding: 4px;\\n  border-right: 1px solid silver;\\n  border-left: 0px !important;\\n  border-top: 0px !important;\\n  border-bottom: 0px !important;\\n  float: left;\\n}\\n.bk-root .slick-headerrow-column.ui-state-default,\\n.bk-root .slick-footerrow-column.ui-state-default {\\n  padding: 4px;\\n}\\n.bk-root .slick-header-column-sorted {\\n  font-style: italic;\\n}\\n.bk-root .slick-sort-indicator {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 6px;\\n  float: left;\\n}\\n.bk-root .slick-sort-indicator-numbered {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 0;\\n  line-height: 20px;\\n  float: left;\\n  font-family: Arial;\\n  font-style: normal;\\n  font-weight: bold;\\n  color: #6190CD;\\n}\\n.bk-root .slick-sort-indicator-desc {\\n  background: url(images/sort-desc.gif);\\n}\\n.bk-root .slick-sort-indicator-asc {\\n  background: url(images/sort-asc.gif);\\n}\\n.bk-root .slick-resizable-handle {\\n  position: absolute;\\n  font-size: 0.1px;\\n  display: block;\\n  cursor: col-resize;\\n  width: 9px;\\n  right: -5px;\\n  top: 0;\\n  height: 100%;\\n  z-index: 1;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver;\\n}\\n.bk-root .grid-canvas {\\n  position: relative;\\n  outline: 0;\\n}\\n.bk-root .slick-row.ui-widget-content,\\n.bk-root .slick-row.ui-state-active {\\n  position: absolute;\\n  border: 0px;\\n  width: 100%;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column,\\n.bk-root .slick-footerrow-column {\\n  position: absolute;\\n  border: 1px solid transparent;\\n  border-right: 1px dotted silver;\\n  border-bottom-color: silver;\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  vertical-align: middle;\\n  z-index: 1;\\n  padding: 1px 2px 2px 1px;\\n  margin: 0;\\n  white-space: nowrap;\\n  cursor: default;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column {\\n  border-bottom-color: silver;\\n}\\n.bk-root .slick-footerrow-column {\\n  border-top-color: silver;\\n}\\n.bk-root .slick-group-toggle {\\n  display: inline-block;\\n}\\n.bk-root .slick-cell.highlighted {\\n  background: lightskyblue;\\n  background: rgba(0, 0, 255, 0.2);\\n  -webkit-transition: all 0.5s;\\n  -moz-transition: all 0.5s;\\n  -o-transition: all 0.5s;\\n  transition: all 0.5s;\\n}\\n.bk-root .slick-cell.flashing {\\n  border: 1px solid red !important;\\n}\\n.bk-root .slick-cell.editable {\\n  z-index: 11;\\n  overflow: visible;\\n  background: white;\\n  border-color: black;\\n  border-style: solid;\\n}\\n.bk-root .slick-cell:focus {\\n  outline: none;\\n}\\n.bk-root .slick-reorder-proxy {\\n  display: inline-block;\\n  background: blue;\\n  opacity: 0.15;\\n  cursor: move;\\n}\\n.bk-root .slick-reorder-guide {\\n  display: inline-block;\\n  height: 2px;\\n  background: blue;\\n  opacity: 0.7;\\n}\\n.bk-root .slick-selection {\\n  z-index: 10;\\n  position: absolute;\\n  border: 2px dashed black;\\n}\\n.bk-root .slick-header-columns {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-bottom: 1px solid silver;\\n}\\n.bk-root .slick-header-column {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-right: 1px solid silver;\\n}\\n.bk-root .slick-header-column:hover,\\n.bk-root .slick-header-column-active {\\n  background: white url(\\'images/header-columns-over-bg.gif\\') repeat-x center bottom;\\n}\\n.bk-root .slick-headerrow {\\n  background: #fafafa;\\n}\\n.bk-root .slick-headerrow-column {\\n  background: #fafafa;\\n  border-bottom: 0;\\n  height: 100%;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row {\\n  position: absolute;\\n  background: white;\\n  border: 0px;\\n  line-height: 20px;\\n}\\n.bk-root .slick-row.selected {\\n  z-index: 10;\\n  background: #DFE8F6;\\n}\\n.bk-root .slick-cell {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .slick-group {\\n  border-bottom: 2px solid silver;\\n}\\n.bk-root .slick-group-toggle {\\n  width: 9px;\\n  height: 9px;\\n  margin-right: 5px;\\n}\\n.bk-root .slick-group-toggle.expanded {\\n  background: url(images/collapse.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-toggle.collapsed {\\n  background: url(images/expand.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-totals {\\n  color: gray;\\n  background: white;\\n}\\n.bk-root .slick-group-select-checkbox {\\n  width: 13px;\\n  height: 13px;\\n  margin: 3px 10px 0 0;\\n  display: inline-block;\\n}\\n.bk-root .slick-group-select-checkbox.checked {\\n  background: url(images/GrpCheckboxY.png) no-repeat center center;\\n}\\n.bk-root .slick-group-select-checkbox.unchecked {\\n  background: url(images/GrpCheckboxN.png) no-repeat center center;\\n}\\n.bk-root .slick-cell.selected {\\n  background-color: beige;\\n}\\n.bk-root .slick-cell.active {\\n  border-color: gray;\\n  border-style: solid;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver !important;\\n}\\n.bk-root .slick-row.odd {\\n  background: #fafafa;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row.loading {\\n  opacity: 0.5;\\n}\\n.bk-root .slick-cell.invalid {\\n  border-color: red;\\n  -moz-animation-duration: 0.2s;\\n  -webkit-animation-duration: 0.2s;\\n  -moz-animation-name: slickgrid-invalid-hilite;\\n  -webkit-animation-name: slickgrid-invalid-hilite;\\n}\\n@-moz-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n@-webkit-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n.bk-root .slick-column-name,\\n.bk-root .slick-sort-indicator {\\n  /**\\n   * This makes all \"float:right\" elements after it that spill over to the next line\\n   * display way below the lower boundary of the column thus hiding them.\\n   */\\n  display: inline-block;\\n  float: left;\\n  margin-bottom: 100px;\\n}\\n.bk-root .slick-header-button {\\n  display: inline-block;\\n  float: right;\\n  vertical-align: top;\\n  margin: 1px;\\n  /**\\n  * This makes all \"float:right\" elements after it that spill over to the next line\\n  * display way below the lower boundary of the column thus hiding them.\\n  */\\n  margin-bottom: 100px;\\n  height: 15px;\\n  width: 15px;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-button-hidden {\\n  width: 0;\\n  -webkit-transition: 0.2s width;\\n  -ms-transition: 0.2s width;\\n  transition: 0.2s width;\\n}\\n.bk-root .slick-header-column:hover > .slick-header-button {\\n  width: 15px;\\n}\\n.bk-root .slick-header-menubutton {\\n  position: absolute;\\n  right: 0;\\n  top: 0;\\n  bottom: 0;\\n  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border: 1px solid gray;\\n  border-top: 0;\\n  background: url(\\'../images/header-columns-bg.gif\\') repeat-x center bottom;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-status {\\n  display: inline-block;\\n  padding: 6px;\\n}\\n.bk-root .slick-pager .ui-icon-container {\\n  display: inline-block;\\n  margin: 2px;\\n  border-color: gray;\\n}\\n.bk-root .slick-pager .slick-pager-nav {\\n  display: inline-block;\\n  float: left;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings {\\n  display: block;\\n  float: right;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings * {\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-settings a {\\n  padding: 2px;\\n  text-decoration: underline;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-columns {\\n  background-image: 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o.source=\"function(\"+(n.variable||\"obj\")+\"){\\n\"+c+\"}\",o},e.exports=p},\n      465: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),o=t(462),n=t(440),l=r.__importStar(t(18)),a=t(24),d=t(71);class s extends d.Model{constructor(t){super(t)}static init_TableColumn(){this.define({field:[l.String],title:[l.String],width:[l.Number,300],formatter:[l.Instance,()=>new o.StringFormatter],editor:[l.Instance,()=>new n.StringEditor],sortable:[l.Boolean,!0],default_sort:[l.Sort,\"ascending\"]})}toColumn(){var t;return{id:a.uniqueId(),field:this.field,name:null!==(t=this.title)&&void 0!==t?t:this.field,width:this.width,formatter:null!=this.formatter?this.formatter.doFormat.bind(this.formatter):void 0,model:this.editor,editor:this.editor.default_view,sortable:this.sortable,defaultSortAsc:\"ascending\"==this.default_sort}}}i.TableColumn=s,s.__name__=\"TableColumn\",s.init_TableColumn()},\n      466: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=t(1),a=t(448),{Avg:i,Min:o,Max:g,Sum:n}=a.Data.Aggregators,u=r.__importStar(t(18)),c=t(71);class _ extends c.Model{constructor(t){super(t)}static init_RowAggregator(){this.define({field_:[u.String,\"\"]})}}s.RowAggregator=_,_.__name__=\"RowAggregator\",_.init_RowAggregator();const l=new i;class m extends _{constructor(){super(...arguments),this.key=\"avg\",this.init=l.init,this.accumulate=l.accumulate,this.storeResult=l.storeResult}}s.AvgAggregator=m,m.__name__=\"AvgAggregator\";const h=new o;class A extends _{constructor(){super(...arguments),this.key=\"min\",this.init=h.init,this.accumulate=h.accumulate,this.storeResult=h.storeResult}}s.MinAggregator=A,A.__name__=\"MinAggregator\";const R=new g;class d extends _{constructor(){super(...arguments),this.key=\"max\",this.init=R.init,this.accumulate=R.accumulate,this.storeResult=R.storeResult}}s.MaxAggregator=d,d.__name__=\"MaxAggregator\";const x=new n;class w extends _{constructor(){super(...arguments),this.key=\"sum\",this.init=x.init,this.accumulate=x.accumulate,this.storeResult=x.storeResult}}s.SumAggregator=w,w.__name__=\"SumAggregator\"},\n      467: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1).__importStar(t(18)),r=t(68),i=t(448),a=t(441),n=t(71);function l(t,e,s,o,i){const{collapsed:a,level:n,title:l}=i,u=r.span({class:\"slick-group-toggle \"+(a?\"collapsed\":\"expanded\"),style:{\"margin-left\":15*n+\"px\"}}),g=r.span({class:\"slick-group-title\",level:n},l);return`${u.outerHTML}${g.outerHTML}`}function u(t,e){const s=this.getDataItem(e.row);s instanceof i.Group&&t.target.classList.contains(\"slick-group-toggle\")&&(s.collapsed?this.getData().expandGroup(s.groupingKey):this.getData().collapseGroup(s.groupingKey),t.stopImmediatePropagation(),t.preventDefault(),this.invalidate(),this.render())}class g extends n.Model{constructor(t){super(t)}static init_GroupingInfo(){this.define({getter:[o.String,\"\"],aggregators:[o.Array,[]],collapsed:[o.Boolean,!1]})}get comparer(){return(t,e)=>t.value===e.value?0:t.value>e.value?1:-1}}s.GroupingInfo=g,g.__name__=\"GroupingInfo\",g.init_GroupingInfo();class c extends a.TableDataProvider{constructor(t,e,s,o){super(t,e),this.columns=s,this.groupingInfos=[],this.groupingDelimiter=\":|:\",this.target=o}setGrouping(t){this.groupingInfos=t,this.toggledGroupsByLevel=t.map(()=>({})),this.refresh()}extractGroups(t,e){const s=[],o=new Map,r=e?e.level+1:0,{comparer:a,getter:n}=this.groupingInfos[r];return t.forEach(t=>{const a=this.source.data[n][t];let l=o.get(a);if(!l){const t=e?`${e.groupingKey}${this.groupingDelimiter}${a}`:\"\"+a;l=Object.assign(new i.Group,{value:a,level:r,groupingKey:t}),s.push(l),o.set(a,l)}l.rows.push(t)}),r<this.groupingInfos.length-1&&s.forEach(t=>{t.groups=this.extractGroups(t.rows,t)}),s.sort(a),s}calculateTotals(t,e){const s={avg:{},max:{},min:{},sum:{}},{source:{data:o}}=this,r=Object.keys(o),i=t.rows.map(t=>r.reduce((e,s)=>Object.assign(Object.assign({},e),{[s]:o[s][t]}),{}));return e.forEach(t=>{t.init(),i.forEach(e=>t.accumulate(e)),t.storeResult(s)}),s}addTotals(t,e=0){const{aggregators:s,collapsed:o}=this.groupingInfos[e],r=this.toggledGroupsByLevel[e];t.forEach(t=>{t.groups&&this.addTotals(t.groups,e+1),s.length&&t.rows.length&&(t.totals=this.calculateTotals(t,s)),t.collapsed=o!==r[t.groupingKey],t.title=t.value?\"\"+t.value:\"\"})}flattenedGroupedRows(t,e=0){const s=[];return t.forEach(t=>{if(s.push(t),!t.collapsed){const o=t.groups?this.flattenedGroupedRows(t.groups,e+1):t.rows;s.push(...o)}}),s}refresh(){const t=this.extractGroups(this.view.indices),e=this.source.data[this.columns[0].field];t.length&&(this.addTotals(t),this.rows=this.flattenedGroupedRows(t),this.target.data={row_indices:this.rows.map(t=>t instanceof i.Group?t.rows:t),labels:this.rows.map(t=>t instanceof i.Group?t.title:e[t])})}getLength(){return this.rows.length}getItem(t){const e=this.rows[t],{source:{data:s}}=this;return e instanceof i.Group?e:Object.keys(s).reduce((t,o)=>Object.assign(Object.assign({},t),{[o]:s[o][e]}),{[a.DTINDEX_NAME]:e})}getItemMetadata(t){const e=this.rows[t],s=this.columns.slice(1),o=e instanceof i.Group?this.groupingInfos[e.level].aggregators:[];return e instanceof i.Group?{selectable:!1,focusable:!1,cssClasses:\"slick-group\",columns:[{formatter:l},...s.map((function(t){const{field:e,formatter:s}=t,r=o.find(({field_:t})=>t===e);if(r){const{key:t}=r;return{formatter:(o,r,i,a,n)=>s?s(o,r,n.totals[t][e],a,n):\"\"}}return{}}))]}:{}}collapseGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=!this.groupingInfos[e].collapsed,this.refresh()}expandGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=this.groupingInfos[e].collapsed,this.refresh()}}s.DataCubeProvider=c,c.__name__=\"DataCubeProvider\";class p extends a.DataTableView{render(){const t={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:!1,forceFitColumns:this.model.fit_columns,multiColumnSort:!1,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height},e=this.model.columns.map(t=>t.toColumn());var s,o;e[0].formatter=(s=e[0].formatter,o=this.model.grouping.length,(t,e,i,a,n)=>{const l=r.span({class:\"slick-group-toggle\",style:{\"margin-left\":15*(o||0)+\"px\"}}),u=s?s(t,e,i,a,n):\"\"+i;return`${l.outerHTML}${u&&u.replace(/^<div/,\"<span\").replace(/div>$/,\"span>\")}`}),delete e[0].editor,this.data=new c(this.model.source,this.model.view,e,this.model.target),this.data.setGrouping(this.model.grouping),this.el.style.width=this.model.width+\"px\",this.grid=new i.Grid(this.el,this.data,e,t),this.grid.onClick.subscribe(u)}}s.DataCubeView=p,p.__name__=\"DataCubeView\";class h extends a.DataTable{constructor(t){super(t)}static init_DataCube(){this.prototype.default_view=p,this.define({grouping:[o.Array,[]],target:[o.Instance]})}}s.DataCube=h,h.__name__=\"DataCube\",h.init_DataCube()},\n      }, 438, {\"models/widgets/tables/main\":438,\"models/widgets/tables/index\":439,\"models/widgets/tables/cell_editors\":440,\"models/widgets/tables/data_table\":441,\"models/widgets/tables/table_widget\":457,\"models/widgets/widget\":458,\"styles/widgets/tables\":459,\"styles/widgets/slickgrid.css\":460,\"styles/widgets/tables.css\":461,\"models/widgets/tables/cell_formatters\":462,\"models/widgets/tables/table_column\":465,\"models/widgets/tables/row_aggregators\":466,\"models/widgets/tables/data_cube\":467}, {});\n      })\n\n\n      /* END bokeh-tables.min.js */\n    },\n    \n    function(Bokeh) {\n      /* BEGIN bokeh-gl.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], \"2.1.1\");\n      })(this, function(Bokeh, version) {\n        var define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      370: function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(371)},\n      371: function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);\n      /*\n          Copyright notice: many of the awesome techniques and  GLSL code contained in\n          this module are based on work by Nicolas Rougier as part of the Glumpy and\n          Vispy projects. The algorithms are published in\n          http://jcgt.org/published/0003/04/01/ and http://jcgt.org/published/0002/02/08/\n          \n          This module contains all gl-specific code to add gl support for the glyphs.\n          By implementing it separetely, the GL functionality can be spun off in a\n          separate library.\n          Other locations where we work with GL, or prepare for GL-rendering:\n          - canvas.ts\n          - plot.ts\n          - glyph.ts\n          - glyph_renderer.ts\n          */o.__exportStar(e(372),_),o.__exportStar(e(377),_)},\n      372: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(373),a=t(374),n=t(375),_=t(376),o=t(20);class h{constructor(t){this._atlas={},this._index=0,this._width=256,this._height=256,this.tex=new i.Texture2D(t),this.tex.set_wrapping(t.REPEAT,t.REPEAT),this.tex.set_interpolation(t.NEAREST,t.NEAREST),this.tex.set_size([this._height,this._width],t.RGBA),this.tex.set_data([0,0],[this._height,this._width],new Uint8Array(this._height*this._width*4)),this.get_atlas_data([1])}get_atlas_data(t){const e=t.join(\"-\");if(void 0===this._atlas[e]){const[s,i]=this.make_pattern(t);this.tex.set_data([this._index,0],[1,this._width],new Uint8Array(s.map(t=>t+10))),this._atlas[e]=[this._index/this._height,i],this._index+=1}return this._atlas[e]}make_pattern(t){t.length>1&&t.length%2&&(t=t.concat(t));let e=0;for(const s of t)e+=s;const s=[];let i=0;for(let e=0,a=t.length+2;e<a;e+=2){const a=Math.max(1e-4,t[e%t.length]),n=Math.max(1e-4,t[(e+1)%t.length]);s.push(i,i+a),i+=a+n}const a=this._width,n=new Float32Array(4*a);for(let t=0,i=a;t<i;t++){let i,_,o;const h=e*t/(a-1);let r=0,l=1e16;for(let t=0,e=s.length;t<e;t++){const e=Math.abs(s[t]-h);e<l&&(r=t,l=e)}r%2==0?(o=h<=s[r]?1:0,_=s[r],i=s[r+1]):(o=h>s[r]?-1:0,_=s[r-1],i=s[r]),n[4*t+0]=s[r],n[4*t+1]=o,n[4*t+2]=_,n[4*t+3]=i}return[n,e]}}h.__name__=\"DashAtlas\";const r={miter:0,round:1,bevel:2},l={\"\":0,none:0,\".\":0,round:1,\")\":1,\"(\":1,o:1,\"triangle in\":2,\"<\":2,\"triangle out\":3,\">\":3,square:4,\"[\":4,\"]\":4,\"=\":4,butt:5,\"|\":5};class g extends a.BaseGLGlyph{init(){const{gl:t}=this;this._scale_aspect=0;const e=n.vertex_shader,s=_.fragment_shader;this.prog=new i.Program(t),this.prog.set_shaders(e,s),this.index_buffer=new i.IndexBuffer(t),this.vbo_position=new i.VertexBuffer(t),this.vbo_tangents=new i.VertexBuffer(t),this.vbo_segment=new i.VertexBuffer(t),this.vbo_angles=new i.VertexBuffer(t),this.vbo_texcoord=new i.VertexBuffer(t),this.dash_atlas=new h(t)}draw(t,e,s){const i=e.glglyph;if(i.data_changed){if(!isFinite(s.dx)||!isFinite(s.dy))return;i._baked_offset=[s.dx,s.dy],i._set_data(),i.data_changed=!1}this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);let{sx:a,sy:n}=s;const _=Math.sqrt(a*a+n*n);a/=_,n/=_,Math.abs(this._scale_aspect-n/a)>Math.abs(.001*this._scale_aspect)&&(i._update_scale(a,n),this._scale_aspect=n/a),this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord),this.prog.set_uniform(\"u_length\",\"float\",[i.cumsum]),this.prog.set_texture(\"u_dash_atlas\",this.dash_atlas.tex);const o=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[s.dx-o[0],s.dy-o[1]]),this.prog.set_uniform(\"u_scale_aspect\",\"vec2\",[a,n]),this.prog.set_uniform(\"u_scale_length\",\"float\",[_]),this.I_triangles=i.I_triangles,this.I_triangles.length<65535)this.index_buffer.set_size(2*this.I_triangles.length),this.index_buffer.set_data(0,new Uint16Array(this.I_triangles)),this.prog.draw(this.gl.TRIANGLES,this.index_buffer);else{t=Array.from(this.I_triangles);const e=this.I_triangles.length,s=64008,a=[];for(let t=0,i=Math.ceil(e/s);t<i;t++)a.push([]);for(let e=0,i=t.length;e<i;e++){const i=t[e]%s;a[Math.floor(t[e]/s)].push(i)}for(let t=0,e=a.length;t<e;t++){const e=new Uint16Array(a[t]),n=t*s*4;0!==e.length&&(this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position,0,2*n),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents,0,4*n),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment,0,2*n),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles,0,2*n),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord,0,2*n),this.index_buffer.set_size(2*e.length),this.index_buffer.set_data(0,e),this.prog.draw(this.gl.TRIANGLES,this.index_buffer))}}}_set_data(){this._bake(),this.vbo_position.set_size(4*this.V_position.length),this.vbo_position.set_data(0,this.V_position),this.vbo_tangents.set_size(4*this.V_tangents.length),this.vbo_tangents.set_data(0,this.V_tangents),this.vbo_angles.set_size(4*this.V_angles.length),this.vbo_angles.set_data(0,this.V_angles),this.vbo_texcoord.set_size(4*this.V_texcoord.length),this.vbo_texcoord.set_data(0,this.V_texcoord)}_set_visuals(){const t=o.color2rgba(this.glyph.visuals.line.line_color.value(),this.glyph.visuals.line.line_alpha.value()),e=l[this.glyph.visuals.line.line_cap.value()],s=r[this.glyph.visuals.line.line_join.value()];this.prog.set_uniform(\"u_color\",\"vec4\",t),this.prog.set_uniform(\"u_linewidth\",\"float\",[this.glyph.visuals.line.line_width.value()]),this.prog.set_uniform(\"u_antialias\",\"float\",[.9]),this.prog.set_uniform(\"u_linecaps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_linejoin\",\"float\",[s]),this.prog.set_uniform(\"u_miter_limit\",\"float\",[10]);const i=this.glyph.visuals.line.line_dash.value();let a=0,n=1;i.length&&([a,n]=this.dash_atlas.get_atlas_data(i)),this.prog.set_uniform(\"u_dash_index\",\"float\",[a]),this.prog.set_uniform(\"u_dash_phase\",\"float\",[this.glyph.visuals.line.line_dash_offset.value()]),this.prog.set_uniform(\"u_dash_period\",\"float\",[n]),this.prog.set_uniform(\"u_dash_caps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_closed\",\"float\",[0])}_bake(){let t,e,s,i,a,n,_,o;const h=this.nvertices,r=new Float64Array(this.glyph._x),l=new Float64Array(this.glyph._y),g=_=new Float32Array(2*h),f=new Float32Array(2*h),u=o=new Float32Array(4*h);for(let t=0,e=h;t<e;t++)g[2*t+0]=r[t]+this._baked_offset[0],g[2*t+1]=l[t]+this._baked_offset[1];this.tangents=e=new Float32Array(2*h-2);for(let t=0,s=h-1;t<s;t++)e[2*t+0]=_[2*(t+1)+0]-_[2*t+0],e[2*t+1]=_[2*(t+1)+1]-_[2*t+1];for(let t=0,s=h-1;t<s;t++)u[4*(t+1)+0]=e[2*t+0],u[4*(t+1)+1]=e[2*t+1],u[4*t+2]=e[2*t+0],u[4*t+3]=e[2*t+1];u[0]=e[0],u[1]=e[1],u[4*(h-1)+2]=e[2*(h-2)+0],u[4*(h-1)+3]=e[2*(h-2)+1];const c=new Float32Array(h);for(let t=0,e=h;t<e;t++)c[t]=Math.atan2(o[4*t+0]*o[4*t+3]-o[4*t+1]*o[4*t+2],o[4*t+0]*o[4*t+2]+o[4*t+1]*o[4*t+3]);for(let t=0,e=h-1;t<e;t++)f[2*t+0]=c[t],f[2*t+1]=c[t+1];const d=4*h-4;this.V_position=i=new Float32Array(2*d),this.V_angles=s=new Float32Array(2*d),this.V_tangents=a=new Float32Array(4*d),this.V_texcoord=n=new Float32Array(2*d);for(let t=0,e=h;t<e;t++)for(let e=0;e<4;e++){for(let a=0;a<2;a++)i[2*(4*t+e-2)+a]=g[2*t+a],s[2*(4*t+e)+a]=f[2*t+a];for(let s=0;s<4;s++)a[4*(4*t+e-2)+s]=u[4*t+s]}for(let t=0,e=h;t<e;t++)n[2*(4*t+0)+0]=-1,n[2*(4*t+1)+0]=-1,n[2*(4*t+2)+0]=1,n[2*(4*t+3)+0]=1,n[2*(4*t+0)+1]=-1,n[2*(4*t+1)+1]=1,n[2*(4*t+2)+1]=-1,n[2*(4*t+3)+1]=1;const p=6*(h-1);this.I_triangles=t=new Uint32Array(p);for(let e=0,s=h;e<s;e++)t[6*e+0]=0+4*e,t[6*e+1]=1+4*e,t[6*e+2]=3+4*e,t[6*e+3]=2+4*e,t[6*e+4]=0+4*e,t[6*e+5]=3+4*e}_update_scale(t,e){let s;const i=this.nvertices,a=4*i-4,n=this.tangents,_=new Float32Array(i-1),o=new Float32Array(2*i);this.V_segment=s=new Float32Array(2*a);for(let s=0,a=i-1;s<a;s++)_[s]=Math.sqrt((n[2*s+0]*t)**2+(n[2*s+1]*e)**2);let h=0;for(let t=0,e=i-1;t<e;t++)h+=_[t],o[2*(t+1)+0]=h,o[2*t+1]=h;for(let t=0,e=i;t<e;t++)for(let e=0;e<4;e++)for(let i=0;i<2;i++)s[2*(4*t+e)+i]=o[2*t+i];this.cumsum=h,this.vbo_segment.set_size(4*this.V_segment.length),this.vbo_segment.set_data(0,this.V_segment)}}s.LineGLGlyph=g,g.__name__=\"LineGLGlyph\"},\n      373: function _(t,e,r){var n,o,i,a,s,l,h,u,c,_=function(t,e){return Array.isArray(t)&&Array.isArray(e)?t.concat(e):t+e},f=function(t,e){if(null==e);else{if(Array.isArray(e)){for(var r=0;r<e.length;r++)if(p(t,e[r]))return!0;return!1}if(e.constructor===Object){for(var n in e)if(t==n)return!0;return!1}if(e.constructor==String)return e.indexOf(t)>=0}var o=Error(\"Not a container: \"+e);throw o.name=\"TypeError\",o},p=function t(e,r){if(null==e||null==r);else{if(Array.isArray(e)&&Array.isArray(r)){for(var n=0,o=e.length==r.length;o&&n<e.length;)o=t(e[n],r[n]),n+=1;return o}if(e.constructor===Object&&r.constructor===Object){var i=Object.keys(e),a=Object.keys(r);i.sort(),a.sort();var s;for(n=0,o=t(i,a);o&&n<i.length;)o=t(e[s=i[n]],r[s]),n+=1;return o}}return e==r},d=function(t,e){if(void 0===t||\"undefined\"!=typeof window&&window===t||\"undefined\"!=typeof global&&global===t)throw\"Class constructor is called as a function.\";for(var r in t)void 0!==Object[r]||\"function\"!=typeof t[r]||t[r].nobind||(t[r]=t[r].bind(t));t.__init__&&t.__init__.apply(t,e)},y=function(t,e){if((\"number\"==typeof t)+(\"number\"==typeof e)===1){if(t.constructor===String)return A.call(t,e);if(e.constructor===String)return A.call(e,t);if(Array.isArray(e)){var r=t;t=e,e=r}if(Array.isArray(t)){for(var n=[],o=0;o<e;o++)n=n.concat(t);return n}}return t*e},g=function(t){return null===t||\"object\"!=typeof t?t:void 0!==t.length?!!t.length&&t:void 0!==t.byteLength?!!t.byteLength&&t:t.constructor!==Object||!!Object.getOwnPropertyNames(t).length&&t},v=function(t){if(!Array.isArray(this))return this.append.apply(this,arguments);this.push(t)},m=function(t,e){return this.constructor!==Object?this.get.apply(this,arguments):void 0!==this[t]?this[t]:void 0!==e?e:null},x=function(){return\"function\"==typeof this.keys?this.keys.apply(this,arguments):Object.keys(this)},b=function(t){if(this.constructor!==String)return this.lstrip.apply(this,arguments);t=void 0===t?\" \\t\\r\\n\":t;for(var e=0;e<this.length;e++)if(t.indexOf(this[e])<0)return this.slice(e);return\"\"},E=function(t){if(!Array.isArray(this))return this.remove.apply(this,arguments);for(var e=0;e<this.length;e++)if(p(this[e],t))return void this.splice(e,1);var r=Error(t);throw r.name=\"ValueError\",r},A=function(t){if(this.repeat)return this.repeat(t);if(t<1)return\"\";for(var e=\"\",r=this.valueOf();t>1;)1&t&&(e+=r),t>>=1,r+=r;return e+r},w=function(t){return this.constructor!==String?this.startswith.apply(this,arguments):0==this.indexOf(t)};c=window.console,u=function(t,e){var r,n,o,i,a,s,l;for(e=void 0===e?\"periodic check\":e,i=[];n=t.getError(),!(p(n,t.NO_ERROR)||g(i)&&p(n,i[i.length-1]));)v.call(i,n);if(i.length){for(a=\"\",\"object\"!=typeof(s=i)||Array.isArray(s)||(s=Object.keys(s)),l=0;l<s.length;l+=1)r=s[l],a=_(a,r);throw(o=new Error(\"RuntimeError:OpenGL got errors (\"+e+\"): \"+a)).name=\"RuntimeError\",o}return null},(o=function(){d(this,arguments)}).prototype._base_class=Object,o.prototype._class_name=\"GlooObject\",o.prototype.__init__=function(t){if(this._gl=t,this.handle=null,this._create(),null===this.handle)throw\"AssertionError: this.handle !== null\";return null},o.prototype._create=function(){var t;throw(t=new Error(\"NotImplementedError:\")).name=\"NotImplementedError\",t},((a=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,a.prototype._class_name=\"Program\",a.prototype.UTYPEMAP={float:\"uniform1fv\",vec2:\"uniform2fv\",vec3:\"uniform3fv\",vec4:\"uniform4fv\",int:\"uniform1iv\",ivec2:\"uniform2iv\",ivec3:\"uniform3iv\",ivec4:\"uniform4iv\",bool:\"uniform1iv\",bvec2:\"uniform2iv\",bvec3:\"uniform3iv\",bvec4:\"uniform4iv\",mat2:\"uniformMatrix2fv\",mat3:\"uniformMatrix3fv\",mat4:\"uniformMatrix4fv\",sampler1D:\"uniform1i\",sampler2D:\"uniform1i\",sampler3D:\"uniform1i\"},a.prototype.ATYPEMAP={float:\"vertexAttrib1f\",vec2:\"vertexAttrib2f\",vec3:\"vertexAttrib3f\",vec4:\"vertexAttrib4f\"},a.prototype.ATYPEINFO={float:[1,5126],vec2:[2,5126],vec3:[3,5126],vec4:[4,5126]},a.prototype._create=function(){return this.handle=this._gl.createProgram(),this.locations={},this._unset_variables=[],this._validated=!1,this._samplers={},this._attributes={},this._known_invalid=[],null},a.prototype.delete=function(){return this._gl.deleteProgram(this.handle),null},a.prototype.activate=function(){return this._gl.useProgram(this.handle),null},a.prototype.deactivate=function(){return this._gl.useProgram(0),null},a.prototype.set_shaders=function(t,e){var r,n,o,i,a,s,l,h,u,c,f,p,d;for(s=this._gl,this._linked=!1,f=[[t,d=s.createShader(s.VERTEX_SHADER),\"vertex\"],[e,a=s.createShader(s.FRAGMENT_SHADER),\"fragment\"]],h=0;h<2;h+=1)if(r=(c=f[h])[0],l=c[1],p=c[2],s.shaderSource(l,r),s.compileShader(l),u=s.getShaderParameter(l,s.COMPILE_STATUS),!g(u))throw i=s.getShaderInfoLog(l),(o=new Error(\"RuntimeError:\"+_(\"errors in \"+p+\" shader:\\n\",i))).name=\"RuntimeError\",o;if(s.attachShader(this.handle,d),s.attachShader(this.handle,a),s.linkProgram(this.handle),!g(s.getProgramParameter(this.handle,s.LINK_STATUS)))throw(n=new Error(\"RuntimeError:Program link error:\\n\"+s.getProgramInfoLog(this.handle))).name=\"RuntimeError\",n;return this._unset_variables=this._get_active_attributes_and_uniforms(),s.detachShader(this.handle,d),s.detachShader(this.handle,a),s.deleteShader(d),s.deleteShader(a),this._known_invalid=[],this._linked=!0,null},a.prototype._get_active_attributes_and_uniforms=function(){var t,e,r,n,o,i,a,s,l,h,u,c,f,p,d,y,m,x;for(s=this._gl,this.locations={},p=new window.RegExp(\"(\\\\w+)\\\\s*(\\\\[(\\\\d+)\\\\])\\\\s*\"),o=s.getProgramParameter(this.handle,s.ACTIVE_UNIFORMS),e=s.getProgramParameter(this.handle,s.ACTIVE_ATTRIBUTES),x=[],\"object\"!=typeof(y=[[t=[],e,s.getActiveAttrib,s.getAttribLocation],[x,o,s.getActiveUniform,s.getUniformLocation]])||Array.isArray(y)||(y=Object.keys(y)),m=0;m<y.length;m+=1)for(r=(d=y[m])[0],n=d[1],i=d[2],a=d[3],l=0;l<n;l+=1){if(c=(f=(h=i.call(s,this.handle,l)).name).match(p),g(c))for(f=c[1],u=0;u<h.size;u+=1)v.call(r,[f+\"[\"+u+\"]\",h.type]);else v.call(r,[f,h.type]);this.locations[f]=a.call(s,this.handle,f)}return _(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(e[0]);return o}.apply(this),function(){var t,e,r,n=[];for(\"object\"!=typeof(e=x)||Array.isArray(e)||(e=Object.keys(e)),r=0;r<e.length;r++)t=e[r],n.push(t[0]);return n}.apply(this))},a.prototype.set_texture=function(t,e){var r,n,o;if(!g(this._linked))throw(r=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",r;return n=m.call(this.locations,t,-1),g(n<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active texture\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),o=x.call(this._samplers).length,f(t,this._samplers)&&(o=this._samplers[t][this._samplers[t].length-1]),this._samplers[t]=[e._target,e.handle,o],this._gl.uniform1i(n,o),null)},a.prototype.set_uniform=function(t,e,r){var n,o,i,a,s,l,h;if(!g(this._linked))throw(i=new Error(\"RuntimeError:Cannot set uniform when program has no code\")).name=\"RuntimeError\",i;if(s=m.call(this.locations,t,-1),g(s<0))return f(t,this._known_invalid)||(v.call(this._known_invalid,t),c.log(\"Variable \"+t+\" is not an active uniform\")),null;if(f(t,this._unset_variables)&&E.call(this._unset_variables,t),o=1,w.call(e,\"mat\")||(n=m.call({int:\"float\",bool:\"float\"},e,b.call(e,\"ib\")),o=Math.floor(r.length/this.ATYPEINFO[n][0])),g(o>1))for(l=0;l<o;l+=1)f(t+\"[\"+l+\"]\",this._unset_variables)&&f(h=t+\"[\"+l+\"]\",this._unset_variables)&&E.call(this._unset_variables,h);return a=this.UTYPEMAP[e],this.activate(),w.call(e,\"mat\")?this._gl[a](s,!1,r):this._gl[a](s,r),null},a.prototype.set_attribute=function(t,e,r,n,o){var i,a,s,l,u,_;if(n=void 0===n?0:n,o=void 0===o?0:o,!g(this._linked))throw(a=new Error(\"RuntimeError:Cannot set attribute when program has no code\")).name=\"RuntimeError\",a;return u=r instanceof h,l=m.call(this.locations,t,-1),g(l<0)?(f(t,this._known_invalid)||(v.call(this._known_invalid,t),g(u)&&g(o>0)||c.log(\"Variable \"+t+\" is not an active attribute\")),null):(f(t,this._unset_variables)&&E.call(this._unset_variables,t),this.activate(),g(u)?(s=\"vertexAttribPointer\",i=[(_=this.ATYPEINFO[e])[0],_[1],this._gl.FALSE,n,o],this._attributes[t]=[r.handle,l,s,i]):(s=this.ATYPEMAP[e],this._attributes[t]=[0,l,s,r]),null)},a.prototype._pre_draw=function(){var t,e,r,n,o,i,a,s,l,h,u,c;for(c in this.activate(),a=this._samplers)a.hasOwnProperty(c)&&(l=(i=c=a[c])[0],s=i[1],h=i[2],this._gl.activeTexture(_(this._gl.TEXTURE0,h)),this._gl.bindTexture(l,s));for(c in o=this._attributes)o.hasOwnProperty(c)&&(u=(n=c=o[c])[0],e=n[1],r=n[2],t=n[3],g(u)?(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,u),this._gl.enableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))):(this._gl.bindBuffer(this._gl.ARRAY_BUFFER,null),this._gl.disableVertexAttribArray(e),this._gl[r].apply(this._gl,[].concat([e],t))));return g(this._validated)||(this._validated=!0,this._validate()),null},a.prototype._validate=function(){var t;if(this._unset_variables.length&&c.log(\"Program has unset variables: \"+this._unset_variables),this._gl.validateProgram(this.handle),!g(this._gl.getProgramParameter(this.handle,this._gl.VALIDATE_STATUS)))throw c.log(this._gl.getProgramInfoLog(this.handle)),(t=new Error(\"RuntimeError:Program validation error\")).name=\"RuntimeError\",t;return null},a.prototype.draw=function(t,e){var r,n,o,a,s;if(!g(this._linked))throw(n=new Error(\"RuntimeError:Cannot draw program if code has not been set\")).name=\"RuntimeError\",n;return u(this._gl,\"before draw\"),g(e instanceof i)?(this._pre_draw(),e.activate(),r=e._buffer_size/2,a=this._gl.UNSIGNED_SHORT,this._gl.drawElements(t,r,a,0),e.deactivate()):(o=(s=e)[0],r=s[1],g(r)&&(this._pre_draw(),this._gl.drawArrays(t,o,r))),u(this._gl,\"after draw\"),null},((n=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,n.prototype._class_name=\"Buffer\",n.prototype._target=null,n.prototype._usage=35048,n.prototype._create=function(){return this.handle=this._gl.createBuffer(),this._buffer_size=0,null},n.prototype.delete=function(){return this._gl.deleteBuffer(this.handle),null},n.prototype.activate=function(){return this._gl.bindBuffer(this._target,this.handle),null},n.prototype.deactivate=function(){return this._gl.bindBuffer(this._target,null),null},n.prototype.set_size=function(t){return p(t,this._buffer_size)||(this.activate(),this._gl.bufferData(this._target,t,this._usage),this._buffer_size=t),null},n.prototype.set_data=function(t,e){return this.activate(),this._gl.bufferSubData(this._target,t,e),null},(h=function(){d(this,arguments)}).prototype=Object.create(n.prototype),h.prototype._base_class=n.prototype,h.prototype._class_name=\"VertexBuffer\",h.prototype._target=34962,(i=function(){d(this,arguments)}).prototype=Object.create(n.prototype),i.prototype._base_class=n.prototype,i.prototype._class_name=\"IndexBuffer\",i.prototype._target=34963,((s=function(){d(this,arguments)}).prototype=Object.create(o.prototype))._base_class=o.prototype,s.prototype._class_name=\"Texture2D\",s.prototype._target=3553,s.prototype._types={Int8Array:5120,Uint8Array:5121,Int16Array:5122,Uint16Array:5123,Int32Array:5124,Uint32Array:5125,Float32Array:5126},s.prototype._create=function(){return this.handle=this._gl.createTexture(),this._shape_format=null,null},s.prototype.delete=function(){return this._gl.deleteTexture(this.handle),null},s.prototype.activate=function(){return this._gl.bindTexture(this._target,this.handle),null},s.prototype.deactivate=function(){return this._gl.bindTexture(this._target,0),null},s.prototype._get_alignment=function(t){var e,r,n;for(\"object\"!=typeof(r=[4,8,2,1])||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n+=1)if(e=r[n],p(t%e,0))return e;return null},s.prototype.set_wrapping=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_S,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_WRAP_T,e),null},s.prototype.set_interpolation=function(t,e){return this.activate(),this._gl.texParameterf(this._target,this._gl.TEXTURE_MIN_FILTER,t),this._gl.texParameterf(this._target,this._gl.TEXTURE_MAG_FILTER,e),null},s.prototype.set_size=function(t,e){var r,n,o;return r=(n=t)[0],o=n[1],p([r,o,e],this._shape_format)||(this._shape_format=[r,o,e],this.activate(),this._gl.texImage2D(this._target,0,e,o,r,0,e,this._gl.UNSIGNED_BYTE,null)),this.u_shape=[r,o],null},s.prototype.set_data=function(t,e,r){var n,o,i,a,s,l,h,u,c,_;if(p(e.length,2)&&(e=[e[0],e[1],1]),this.activate(),i=this._shape_format[2],s=(l=e)[0],u=l[1],l[2],_=(h=t)[0],c=h[1],null===(a=m.call(this._types,r.constructor.name,null)))throw(o=new Error(\"ValueError:Type \"+r.constructor.name+\" not allowed for texture\")).name=\"ValueError\",o;return n=this._get_alignment(y(e[e.length-2],e[e.length-1])),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,n),this._gl.texSubImage2D(this._target,0,c,_,u,s,i,a,r),p(n,4)||this._gl.pixelStorei(this._gl.UNPACK_ALIGNMENT,4),null},((l=function(){d(this,arguments)}).prototype=Object.create(s.prototype))._base_class=s.prototype,l.prototype._class_name=\"Texture3DLike\",l.prototype.GLSL_SAMPLE_NEAREST=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float zindex = floor(texcoord.z * shape.z);\\n\\n            // Do a lookup in the 2D texture\\n            float u = (mod(zindex, ncols) + texcoord.x) / ncols;\\n            float v = (floor(zindex / ncols) + texcoord.y) / nrows;\\n\\n            return texture2D(tex, vec2(u,v));\\n        }\\n    \",l.prototype.GLSL_SAMPLE_LINEAR=\"\\n        vec4 sample3D(sampler2D tex, vec3 texcoord, vec3 shape, vec2 tiles) {\\n            shape.xyz = shape.zyx;  // silly row-major convention\\n            float nrows = tiles.y, ncols = tiles.x;\\n            // Don't let adjacent frames be interpolated into this one\\n            texcoord.x = min(texcoord.x * shape.x, shape.x - 0.5);\\n            texcoord.x = max(0.5, texcoord.x) / shape.x;\\n            texcoord.y = min(texcoord.y * shape.y, shape.y - 0.5);\\n            texcoord.y = max(0.5, texcoord.y) / shape.y;\\n\\n            float z = texcoord.z * shape.z;\\n            float zindex1 = floor(z);\\n            float u1 = (mod(zindex1, ncols) + texcoord.x) / ncols;\\n            float v1 = (floor(zindex1 / ncols) + texcoord.y) / nrows;\\n\\n            float zindex2 = zindex1 + 1.0;\\n            float u2 = (mod(zindex2, ncols) + texcoord.x) / ncols;\\n            float v2 = (floor(zindex2 / ncols) + texcoord.y) / nrows;\\n\\n            vec4 s1 = texture2D(tex, vec2(u1, v1));\\n            vec4 s2 = texture2D(tex, vec2(u2, v2));\\n\\n            return s1 * (zindex2 - z) + s2 * (z - zindex1);\\n        }\\n    \",l.prototype._get_tile_info=function(t){var e,r,n,o;if(r=this._gl.getParameter(this._gl.MAX_TEXTURE_SIZE),o=Math.floor(r/t[1]),o=Math.min(o,t[0]),n=window.Math.ceil(t[0]/o),g(y(n,t[2])>r))throw(e=new Error(\"RuntimeError:Cannot fit 3D data with shape \"+t+\" onto simulated 2D texture.\")).name=\"RuntimeError\",e;return[o,n]},l.prototype.set_size=function(t,e){var r,n,o,i;return n=(i=this._get_tile_info(t))[0],r=i[1],o=[y(t[1],n),y(t[2],r)],l.prototype._base_class.set_size.call(this,o,e),this.u_shape=[t[0],t[1],t[2]],this.u_tiles=[r,n],null},l.prototype.set_data=function(t,e,r){var n,o,i,a,s,h,u,c,_,f,d,v;if(p(e.length,3)&&(e=[e[0],e[1],e[2],1]),!function(t){for(var e=0;e<t.length;e++)if(!g(t[e]))return!1;return!0}(function(){var e,r,n,o=[];for(\"object\"!=typeof(r=t)||Array.isArray(r)||(r=Object.keys(r)),n=0;n<r.length;n++)e=r[n],o.push(p(e,0));return o}.apply(this)))throw(i=new Error(\"ValueError:Texture3DLike does not support nonzero offset (for now)\")).name=\"ValueError\",i;if(s=(c=this._get_tile_info(e))[0],a=c[1],u=[y(e[1],s),y(e[2],a),e[3]],p(a,1))l.prototype._base_class.set_data.call(this,[0,0],u,r);else for(v=new(0,r.constructor)(y(y(u[0],u[1]),u[2])),l.prototype._base_class.set_data.call(this,[0,0],u,v),d=0;d<e[0];d+=1)h=(_=[Math.floor(d/a),d%a])[0],n=_[1],o=Math.floor(r.length/e[0]),f=r.slice(y(d,o),y(d+1,o)),l.prototype._base_class.set_data.call(this,[y(h,e[1]),y(n,e[2])],e.slice(1),f);return null},e.exports={Buffer:n,GlooObject:o,IndexBuffer:i,Program:a,Texture2D:s,Texture3DLike:l,VertexBuffer:h,check_error:u,console:c}},\n      374: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(20),s=e(72);class i{constructor(e,t){this.gl=e,this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.init()}set_data_changed(e){e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,a){if(0==t.length)return!0;const[r,i,n]=[0,1,2];let l=1,h=1,[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]);if(isNaN(o[0]+o[1]+o[2]+_[0]+_[1]+_[2]))return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;if(l=100/Math.min(Math.max(Math.abs(o[1]-o[0]),1e-12),1e12),h=100/Math.min(Math.max(Math.abs(_[1]-_[0]),1e-12),1e12),[o,_]=this.glyph.renderer.map_to_screen([r*l,i*l,n*l],[r*h,i*h,n*h]),Math.abs(o[1]-o[0]-(o[2]-o[1]))>1e-6||Math.abs(_[1]-_[0]-(_[2]-_[1]))>1e-6)return s.logger.warn(`WebGL backend (${this.glyph.model.type}): falling back to canvas rendering`),!1;const[c,u]=[(o[1]-o[0])/l,(_[1]-_[0])/h],{width:d,height:g}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,f={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:d,height:g,dx:o[0]/c,dy:_[0]/u,sx:c,sy:u};return this.draw(t,a,f),!0}}function n(e,t){const a=new Float32Array(e);for(let r=0,s=e;r<s;r++)a[r]=t;return a}function l(e,t){return void 0!==e[t].spec.value}a.BaseGLGlyph=i,i.__name__=\"BaseGLGlyph\",a.line_width=function(e){return e<2&&(e=Math.sqrt(2*e)),e},a.fill_array_with_float=n,a.fill_array_with_vec=function(e,t,a){const r=new Float32Array(e*t);for(let s=0;s<e;s++)for(let e=0;e<t;e++)r[s*t+e]=a[e];return r},a.visual_prop_is_singular=l,a.attach_float=function(e,t,a,r,s,i){if(s.doit)if(l(s,i))t.used=!1,e.set_attribute(a,\"float\",s[i].value());else{t.used=!0;const n=new Float32Array(s.get_array(i));t.set_size(4*r),t.set_data(0,n),e.set_attribute(a,\"float\",t)}else t.used=!1,e.set_attribute(a,\"float\",[0])},a.attach_color=function(e,t,a,s,i,h){let o;const _=h+\"_color\",c=h+\"_alpha\";if(i.doit)if(l(i,_)&&l(i,c))t.used=!1,o=r.color2rgba(i[_].value(),i[c].value()),e.set_attribute(a,\"vec4\",o);else{let h,u;t.used=!0,u=l(i,_)?(()=>{const e=[];for(let t=0,a=s;t<a;t++)e.push(i[_].value());return e})():i.get_array(_),h=l(i,c)?n(s,i[c].value()):i.get_array(c);const d=new Float32Array(4*s);for(let e=0,t=s;e<t;e++){o=r.color2rgba(u[e],h[e]);for(let t=0,a=4;t<a;t++)d[4*e+t]=o[t]}t.set_size(4*s*4),t.set_data(0,d),e.set_attribute(a,\"vec4\",t)}else t.used=!1,e.set_attribute(a,\"vec4\",[0,0,0,0])}},\n      375: function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.vertex_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size, u_offset;\\nuniform vec2 u_scale_aspect;\\nuniform float u_scale_length;\\n\\nuniform vec4 u_color;\\nuniform float u_antialias;\\nuniform float u_length;\\nuniform float u_linewidth;\\nuniform float u_dash_index;\\nuniform float u_closed;\\n\\nattribute vec2 a_position;\\nattribute vec4 a_tangents;\\nattribute vec2 a_segment;\\nattribute vec2 a_angles;\\nattribute vec2 a_texcoord;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\nfloat cross(in vec2 v1, in vec2 v2)\\n{\\n    return v1.x*v2.y - v1.y*v2.x;\\n}\\n\\nfloat signed_distance(in vec2 v1, in vec2 v2, in vec2 v3)\\n{\\n    return cross(v2-v1,v1-v3) / length(v2-v1);\\n}\\n\\nvoid rotate( in vec2 v, in float alpha, out vec2 result )\\n{\\n    float c = cos(alpha);\\n    float s = sin(alpha);\\n    result = vec2( c*v.x - s*v.y,\\n                   s*v.x + c*v.y );\\n}\\n\\nvoid main()\\n{\\n    bool closed = (u_closed > 0.0);\\n\\n    // Attributes and uniforms to varyings\\n    v_color = u_color;\\n    v_linewidth = u_linewidth;\\n    v_segment = a_segment * u_scale_length;\\n    v_length = u_length * u_scale_length;\\n\\n    // Scale to map to pixel coordinates. The original algorithm from the paper\\n    // assumed isotropic scale. We obviously do not have this.\\n    vec2 abs_scale_aspect = abs(u_scale_aspect);\\n    vec2 abs_scale = u_scale_length * abs_scale_aspect;\\n\\n    // Correct angles for aspect ratio\\n    vec2 av;\\n    av = vec2(1.0, tan(a_angles.x)) / abs_scale_aspect;\\n    v_angles.x = atan(av.y, av.x);\\n    av = vec2(1.0, tan(a_angles.y)) / abs_scale_aspect;\\n    v_angles.y = atan(av.y, av.x);\\n\\n    // Thickness below 1 pixel are represented using a 1 pixel thickness\\n    // and a modified alpha\\n    v_color.a = min(v_linewidth, v_color.a);\\n    v_linewidth = max(v_linewidth, 1.0);\\n\\n    // If color is fully transparent we just will discard the fragment anyway\\n    if( v_color.a <= 0.0 ) {\\n        gl_Position = vec4(0.0,0.0,0.0,1.0);\\n        return;\\n    }\\n\\n    // This is the actual half width of the line\\n    float w = ceil(u_antialias+v_linewidth)/2.0;\\n\\n    vec2 position = (a_position + u_offset) * abs_scale;\\n\\n    vec2 t1 = normalize(a_tangents.xy * abs_scale_aspect);  // note the scaling for aspect ratio here\\n    vec2 t2 = normalize(a_tangents.zw * abs_scale_aspect);\\n    float u = a_texcoord.x;\\n    float v = a_texcoord.y;\\n    vec2 o1 = vec2( +t1.y, -t1.x);\\n    vec2 o2 = vec2( +t2.y, -t2.x);\\n\\n    // This is a join\\n    // ----------------------------------------------------------------\\n    if( t1 != t2 ) {\\n        float angle = atan (t1.x*t2.y-t1.y*t2.x, t1.x*t2.x+t1.y*t2.y);  // Angle needs recalculation for some reason\\n        vec2 t  = normalize(t1+t2);\\n        vec2 o  = vec2( + t.y, - t.x);\\n\\n        if ( u_dash_index > 0.0 )\\n        {\\n            // Broken angle\\n            // ----------------------------------------------------------------\\n            if( (abs(angle) > THETA) ) {\\n                position += v * w * o / cos(angle/2.0);\\n                float s = sign(angle);\\n                if( angle < 0.0 ) {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position -= 2.0 * w * t1 / sin(angle);\\n                            u -= 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position += 2.0 * w * t2 / sin(angle);\\n                            u += 2.0*w / sin(angle);\\n                        }\\n                    }\\n                } else {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position += 2.0 * w * t1 / sin(angle);\\n                            u += 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position -= 2.0 * w * t2 / sin(angle);\\n                            u -= 2.0*w / sin(angle);\\n                        }\\n                    }\\n                }\\n                // Continuous angle\\n                // ------------------------------------------------------------\\n            } else {\\n                position += v * w * o / cos(angle/2.0);\\n                if( u == +1.0 ) u = v_segment.y;\\n                else            u = v_segment.x;\\n            }\\n        }\\n\\n        // Solid line\\n        // --------------------------------------------------------------------\\n        else\\n        {\\n            position.xy += v * w * o / cos(angle/2.0);\\n            if( angle < 0.0 ) {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            } else {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            }\\n        }\\n\\n    // This is a line start or end (t1 == t2)\\n    // ------------------------------------------------------------------------\\n    } else {\\n        position += v * w * o1;\\n        if( u == -1.0 ) {\\n            u = v_segment.x - w;\\n            position -= w * t1;\\n        } else {\\n            u = v_segment.y + w;\\n            position += w * t2;\\n        }\\n    }\\n\\n    // Miter distance\\n    // ------------------------------------------------------------------------\\n    vec2 t;\\n    vec2 curr = a_position * abs_scale;\\n    if( a_texcoord.x < 0.0 ) {\\n        vec2 next = curr + t2*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, +v_angles.x/2.0, t);\\n        v_miter.x = signed_distance(curr, curr+t, position);\\n\\n        rotate( t2, +v_angles.y/2.0, t);\\n        v_miter.y = signed_distance(next, next+t, position);\\n    } else {\\n        vec2 prev = curr - t1*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, -v_angles.x/2.0,t);\\n        v_miter.x = signed_distance(prev, prev+t, position);\\n\\n        rotate( t2, -v_angles.y/2.0,t);\\n        v_miter.y = signed_distance(curr, curr+t, position);\\n    }\\n\\n    if (!closed && v_segment.x <= 0.0) {\\n        v_miter.x = 1e10;\\n    }\\n    if (!closed && v_segment.y >= v_length)\\n    {\\n        v_miter.y = 1e10;\\n    }\\n\\n    v_texcoord = vec2( u, v*w );\\n\\n    // Calculate position in device coordinates. Note that we\\n    // already scaled with abs scale above.\\n    vec2 normpos = position * sign(u_scale_aspect);\\n    normpos += 0.5;  // make up for Bokeh's offset\\n    normpos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(normpos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n}\\n\"},\n      376: function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0}),e.fragment_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform sampler2D u_dash_atlas;\\n\\nuniform vec2 u_linecaps;\\nuniform float u_miter_limit;\\nuniform float u_linejoin;\\nuniform float u_antialias;\\nuniform float u_dash_phase;\\nuniform float u_dash_period;\\nuniform float u_dash_index;\\nuniform vec2 u_dash_caps;\\nuniform float u_closed;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\n// Compute distance to cap ----------------------------------------------------\\nfloat cap( int type, float dx, float dy, float t, float linewidth )\\n{\\n    float d = 0.0;\\n    dx = abs(dx);\\n    dy = abs(dy);\\n    if      (type == 0)  discard;  // None\\n    else if (type == 1)  d = sqrt(dx*dx+dy*dy);  // Round\\n    else if (type == 3)  d = (dx+abs(dy));  // Triangle in\\n    else if (type == 2)  d = max(abs(dy),(t+dx-abs(dy)));  // Triangle out\\n    else if (type == 4)  d = max(dx,dy);  // Square\\n    else if (type == 5)  d = max(dx+t,dy);  // Butt\\n    return d;\\n}\\n\\n// Compute distance to join -------------------------------------------------\\nfloat join( in int type, in float d, in vec2 segment, in vec2 texcoord, in vec2 miter,\\n           in float linewidth )\\n{\\n    // texcoord.x is distance from start\\n    // texcoord.y is distance from centerline\\n    // segment.x and y indicate the limits (as for texcoord.x) for this segment\\n\\n    float dx = texcoord.x;\\n\\n    // Round join\\n    if( type == 1 ) {\\n        if (dx < segment.x) {\\n            d = max(d,length( texcoord - vec2(segment.x,0.0)));\\n            //d = length( texcoord - vec2(segment.x,0.0));\\n        } else if (dx > segment.y) {\\n            d = max(d,length( texcoord - vec2(segment.y,0.0)));\\n            //d = length( texcoord - vec2(segment.y,0.0));\\n        }\\n    }\\n    // Bevel join\\n    else if ( type == 2 ) {\\n        if (dx < segment.x) {\\n            vec2 x = texcoord - vec2(segment.x,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n\\n        } else if (dx > segment.y) {\\n            vec2 x = texcoord - vec2(segment.y,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n        }\\n        /*  Original code for bevel which does not work for us\\n        if( (dx < segment.x) ||  (dx > segment.y) )\\n            d = max(d, min(abs(x.x),abs(x.y)));\\n        */\\n    }\\n\\n    return d;\\n}\\n\\nvoid main()\\n{\\n    // If color is fully transparent we just discard the fragment\\n    if( v_color.a <= 0.0 ) {\\n        discard;\\n    }\\n\\n    // Test if dash pattern is the solid one (0)\\n    bool solid =  (u_dash_index == 0.0);\\n\\n    // Test if path is closed\\n    bool closed = (u_closed > 0.0);\\n\\n    vec4 color = v_color;\\n    float dx = v_texcoord.x;\\n    float dy = v_texcoord.y;\\n    float t = v_linewidth/2.0-u_antialias;\\n    float width = 1.0;  //v_linewidth; original code had dashes scale with line width, we do not\\n    float d = 0.0;\\n\\n    vec2 linecaps = u_linecaps;\\n    vec2 dash_caps = u_dash_caps;\\n    float line_start = 0.0;\\n    float line_stop = v_length;\\n\\n    // Apply miter limit; fragments too far into the miter are simply discarded\\n    if( (dx < v_segment.x) || (dx > v_segment.y) ) {\\n        float into_miter = max(v_segment.x - dx, dx - v_segment.y);\\n        if (into_miter > u_miter_limit*v_linewidth/2.0)\\n          discard;\\n    }\\n\\n    // Solid line --------------------------------------------------------------\\n    if( solid ) {\\n        d = abs(dy);\\n        if( (!closed) && (dx < line_start) ) {\\n            d = cap( int(u_linecaps.x), abs(dx), abs(dy), t, v_linewidth );\\n        }\\n        else if( (!closed) &&  (dx > line_stop) ) {\\n            d = cap( int(u_linecaps.y), abs(dx)-line_stop, abs(dy), t, v_linewidth );\\n        }\\n        else {\\n            d = join( int(u_linejoin), abs(dy), v_segment, v_texcoord, v_miter, v_linewidth );\\n        }\\n\\n    // Dash line --------------------------------------------------------------\\n    } else {\\n        float segment_start = v_segment.x;\\n        float segment_stop  = v_segment.y;\\n        float segment_center= (segment_start+segment_stop)/2.0;\\n        float freq          = u_dash_period*width;\\n        float u = mod( dx + u_dash_phase*width, freq);\\n        vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n        float dash_center= tex.x * width;\\n        float dash_type  = tex.y;\\n        float _start = tex.z * width;\\n        float _stop  = tex.a * width;\\n        float dash_start = dx - u + _start;\\n        float dash_stop  = dx - u + _stop;\\n\\n        // Compute extents of the first dash (the one relative to v_segment.x)\\n        // Note: this could be computed in the vertex shader\\n        if( (dash_stop < segment_start) && (dash_caps.x != 5.0) ) {\\n            float u = mod(segment_start + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_start - u + _start;\\n            dash_stop = segment_start - u + _stop;\\n        }\\n\\n        // Compute extents of the last dash (the one relatives to v_segment.y)\\n        // Note: This could be computed in the vertex shader\\n        else if( (dash_start > segment_stop)  && (dash_caps.y != 5.0) ) {\\n            float u = mod(segment_stop + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_stop - u + _start;\\n            dash_stop  = segment_stop - u + _stop;\\n        }\\n\\n        // This test if the we are dealing with a discontinuous angle\\n        bool discontinuous = ((dx <  segment_center) && abs(v_angles.x) > THETA) ||\\n                             ((dx >= segment_center) && abs(v_angles.y) > THETA);\\n        //if( dx < line_start) discontinuous = false;\\n        //if( dx > line_stop)  discontinuous = false;\\n\\n        float d_join = join( int(u_linejoin), abs(dy),\\n                            v_segment, v_texcoord, v_miter, v_linewidth );\\n\\n        // When path is closed, we do not have room for linecaps, so we make room\\n        // by shortening the total length\\n        if (closed) {\\n             line_start += v_linewidth/2.0;\\n             line_stop  -= v_linewidth/2.0;\\n        }\\n\\n        // We also need to take antialias area into account\\n        //line_start += u_antialias;\\n        //line_stop  -= u_antialias;\\n\\n        // Check is dash stop is before line start\\n        if( dash_stop <= line_start ) {\\n            discard;\\n        }\\n        // Check is dash start is beyond line stop\\n        if( dash_start >= line_stop ) {\\n            discard;\\n        }\\n\\n        // Check if current dash start is beyond segment stop\\n        if( discontinuous ) {\\n            // Dash start is beyond segment, we discard\\n            if( (dash_start > segment_stop) ) {\\n                discard;\\n                //gl_FragColor = vec4(1.0,0.0,0.0,.25); return;\\n            }\\n\\n            // Dash stop is before segment, we discard\\n            if( (dash_stop < segment_start) ) {\\n                discard;  //gl_FragColor = vec4(0.0,1.0,0.0,.25); return;\\n            }\\n\\n            // Special case for round caps (nicer with this)\\n            if( dash_caps.x == 1.0 ) {\\n                if( (u > _stop) && (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for round caps  (nicer with this)\\n            if( dash_caps.y == 1.0 ) {\\n                if( (u < _start) && (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.x != 1.0) && (dash_caps.x != 5.0) ) {\\n                if( (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0) ) {\\n                    float a = v_angles.x/2.0;\\n                    float x = (segment_start-dx)*cos(a) - dy*sin(a);\\n                    float y = (segment_start-dx)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the cap into square to avoid holes\\n                    dash_caps.x = 4.0;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.y != 1.0) && (dash_caps.y != 5.0) ) {\\n                if( (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0) ) {\\n                    float a = v_angles.y/2.0;\\n                    float x = (dx-segment_stop)*cos(a) - dy*sin(a);\\n                    float y = (dx-segment_stop)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the caps into square to avoid holes\\n                    dash_caps.y = 4.0;\\n                }\\n            }\\n        }\\n\\n        // Line cap at start\\n        if( (dx < line_start) && (dash_start < line_start) && (dash_stop > line_start) ) {\\n            d = cap( int(linecaps.x), dx-line_start, dy, t, v_linewidth);\\n        }\\n        // Line cap at stop\\n        else if( (dx > line_stop) && (dash_stop > line_stop) && (dash_start < line_stop) ) {\\n            d = cap( int(linecaps.y), dx-line_stop, dy, t, v_linewidth);\\n        }\\n        // Dash cap left - dash_type = -1, 0 or 1, but there may be roundoff errors\\n        else if( dash_type < -0.5 ) {\\n            d = cap( int(dash_caps.y), abs(u-dash_center), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash cap right\\n        else if( dash_type > 0.5 ) {\\n            d = cap( int(dash_caps.x), abs(dash_center-u), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash body (plain)\\n        else {// if( dash_type > -0.5 &&  dash_type < 0.5) {\\n            d = abs(dy);\\n        }\\n\\n        // Line join\\n        if( (dx > line_start) && (dx < line_stop)) {\\n            if( (dx <= segment_start) && (dash_start <= segment_start)\\n                && (dash_stop >= segment_start) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.x;\\n                float f = abs( (segment_start - dx)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( (dx > segment_stop) && (dash_start <= segment_stop)\\n                     && (dash_stop >= segment_stop) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.y;\\n                float f = abs((dx - segment_stop)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( dx < (segment_start - v_linewidth/2.)) {\\n                discard;\\n            }\\n            else if( dx > (segment_stop + v_linewidth/2.)) {\\n                discard;\\n            }\\n        }\\n        else if( dx < (segment_start - v_linewidth/2.)) {\\n            discard;\\n        }\\n        else if( dx > (segment_stop + v_linewidth/2.)) {\\n            discard;\\n        }\\n    }\\n\\n    // Distance to border ------------------------------------------------------\\n    d = d - t;\\n    if( d < 0.0 ) {\\n        gl_FragColor = color;\\n    } else {\\n        d /= u_antialias;\\n        gl_FragColor = vec4(color.rgb, exp(-d*d)*color.a);\\n    }\\n}\\n\"},\n      377: function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(373),r=t(374),o=t(378),_=t(379),h=t(213),l=t(12),n=t(72);class g extends r.BaseGLGlyph{init(){const{gl:t}=this,s=o.vertex_shader,e=_.fragment_shader(this._marker_code);this.prog=new a.Program(t),this.prog.set_shaders(s,e),this.vbo_x=new a.VertexBuffer(t),this.prog.set_attribute(\"a_x\",\"float\",this.vbo_x),this.vbo_y=new a.VertexBuffer(t),this.prog.set_attribute(\"a_y\",\"float\",this.vbo_y),this.vbo_s=new a.VertexBuffer(t),this.prog.set_attribute(\"a_size\",\"float\",this.vbo_s),this.vbo_a=new a.VertexBuffer(t),this.prog.set_attribute(\"a_angle\",\"float\",this.vbo_a),this.vbo_linewidth=new a.VertexBuffer(t),this.vbo_fg_color=new a.VertexBuffer(t),this.vbo_bg_color=new a.VertexBuffer(t),this.index_buffer=new a.IndexBuffer(t)}draw(t,s,e){const i=s.glglyph,{nvertices:a}=i;if(i.data_changed){if(!isFinite(e.dx)||!isFinite(e.dy))return;i._baked_offset=[e.dx,e.dy],i._set_data(a),i.data_changed=!1}else this.glyph instanceof h.CircleView&&null!=this.glyph._radius&&(null==this.last_trans||e.sx!=this.last_trans.sx||e.sy!=this.last_trans.sy)&&(this.last_trans=e,this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))));this.visuals_changed&&(this._set_visuals(a),this.visuals_changed=!1);const r=i._baked_offset;if(this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[e.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[e.width,e.height]),this.prog.set_uniform(\"u_offset\",\"vec2\",[e.dx-r[0],e.dy-r[1]]),this.prog.set_uniform(\"u_scale\",\"vec2\",[e.sx,e.sy]),this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a),0!=t.length)if(t.length===a)this.prog.draw(this.gl.POINTS,[0,a]);else if(a<65535){const s=window.navigator.userAgent;s.indexOf(\"MSIE \")+s.indexOf(\"Trident/\")+s.indexOf(\"Edge/\")>0&&n.logger.warn(\"WebGL warning: IE is known to produce 1px sprites whith selections.\"),this.index_buffer.set_size(2*t.length),this.index_buffer.set_data(0,new Uint16Array(t)),this.prog.draw(this.gl.POINTS,this.index_buffer)}else{const s=64e3,e=[];for(let t=0,i=Math.ceil(a/s);t<i;t++)e.push([]);for(let i=0,a=t.length;i<a;i++){const a=t[i]%s;e[Math.floor(t[i]/s)].push(a)}for(let t=0,a=e.length;t<a;t++){const a=new Uint16Array(e[t]),r=t*s*4;0!==a.length&&(this.prog.set_attribute(\"a_x\",\"float\",i.vbo_x,0,r),this.prog.set_attribute(\"a_y\",\"float\",i.vbo_y,0,r),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s,0,r),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a,0,r),this.vbo_linewidth.used&&this.prog.set_attribute(\"a_linewidth\",\"float\",this.vbo_linewidth,0,r),this.vbo_fg_color.used&&this.prog.set_attribute(\"a_fg_color\",\"vec4\",this.vbo_fg_color,0,4*r),this.vbo_bg_color.used&&this.prog.set_attribute(\"a_bg_color\",\"vec4\",this.vbo_bg_color,0,4*r),this.index_buffer.set_size(2*a.length),this.index_buffer.set_data(0,a),this.prog.draw(this.gl.POINTS,this.index_buffer))}}}_set_data(t){const s=4*t;this.vbo_x.set_size(s),this.vbo_y.set_size(s),this.vbo_a.set_size(s),this.vbo_s.set_size(s);const e=new Float64Array(this.glyph._x),i=new Float64Array(this.glyph._y);for(let s=0,a=t;s<a;s++)e[s]+=this._baked_offset[0],i[s]+=this._baked_offset[1];this.vbo_x.set_data(0,new Float32Array(e)),this.vbo_y.set_data(0,new Float32Array(i)),null!=this.glyph._angle&&this.vbo_a.set_data(0,new Float32Array(this.glyph._angle)),this.glyph instanceof h.CircleView&&null!=this.glyph._radius?this.vbo_s.set_data(0,new Float32Array(l.map(this.glyph.sradius,t=>2*t))):this.vbo_s.set_data(0,new Float32Array(this.glyph._size))}_set_visuals(t){r.attach_float(this.prog,this.vbo_linewidth,\"a_linewidth\",t,this.glyph.visuals.line,\"line_width\"),r.attach_color(this.prog,this.vbo_fg_color,\"a_fg_color\",t,this.glyph.visuals.line,\"line\"),r.attach_color(this.prog,this.vbo_bg_color,\"a_bg_color\",t,this.glyph.visuals.fill,\"fill\"),this.prog.set_uniform(\"u_antialias\",\"float\",[.8])}}function f(t){return class extends g{get _marker_code(){return t}}}e.MarkerGLGlyph=g,g.__name__=\"MarkerGLGlyph\";const d=i.__importStar(t(379));e.CircleGLGlyph=f(d.circle),e.SquareGLGlyph=f(d.square),e.DiamondGLGlyph=f(d.diamond),e.TriangleGLGlyph=f(d.triangle),e.InvertedTriangleGLGlyph=f(d.invertedtriangle),e.HexGLGlyph=f(d.hex),e.CrossGLGlyph=f(d.cross),e.CircleCrossGLGlyph=f(d.circlecross),e.SquareCrossGLGlyph=f(d.squarecross),e.DiamondCrossGLGlyph=f(d.diamondcross),e.XGLGlyph=f(d.x),e.CircleXGLGlyph=f(d.circlex),e.SquareXGLGlyph=f(d.squarex),e.AsteriskGLGlyph=f(d.asterisk)},\n      378: function _(n,i,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.vertex_shader=\"\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\n//\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform vec2 u_offset;\\nuniform vec2 u_scale;\\nuniform float u_antialias;\\n//\\nattribute float a_x;\\nattribute float a_y;\\nattribute float a_size;\\nattribute float a_angle;  // in radians\\nattribute float a_linewidth;\\nattribute vec4  a_fg_color;\\nattribute vec4  a_bg_color;\\n//\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying vec2  v_rotation;\\n\\nvoid main (void)\\n{\\n    v_size = a_size * u_pixel_ratio;\\n    v_linewidth = a_linewidth * u_pixel_ratio;\\n    v_fg_color = a_fg_color;\\n    v_bg_color = a_bg_color;\\n    v_rotation = vec2(cos(-a_angle), sin(-a_angle));\\n    // Calculate position - the -0.5 is to correct for canvas origin\\n    vec2 pos = (vec2(a_x, a_y) + u_offset) * u_scale; // in pixels\\n    pos += 0.5;  // make up for Bokeh's offset\\n    pos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(pos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n    gl_PointSize = SQRT_2 * v_size + 2.0 * (v_linewidth + 1.5*u_antialias);\\n}\\n\"},\n      379: function _(a,n,s){Object.defineProperty(s,\"__esModule\",{value:!0}),s.fragment_shader=a=>`\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float PI = 3.14159265358979323846264;\\n//\\nuniform float u_antialias;\\n//\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2  v_rotation;\\n\\n${a}\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 fg_color, vec4 bg_color)\\n{\\n    vec4 frag_color;\\n    float t = linewidth/2.0 - antialias;\\n    float signed_distance = distance;\\n    float border_distance = abs(signed_distance) - t;\\n    float alpha = border_distance/antialias;\\n    alpha = exp(-alpha*alpha);\\n\\n    // If fg alpha is zero, it probably means no outline. To avoid a dark outline\\n    // shining through due to aa, we set the fg color to the bg color. Avoid if (i.e. branching).\\n    float select = float(bool(fg_color.a));\\n    fg_color.rgb = select * fg_color.rgb + (1.0  - select) * bg_color.rgb;\\n    // Similarly, if we want a transparent bg\\n    select = float(bool(bg_color.a));\\n    bg_color.rgb = select * bg_color.rgb + (1.0  - select) * fg_color.rgb;\\n\\n    if( border_distance < 0.0)\\n        frag_color = fg_color;\\n    else if( signed_distance < 0.0 ) {\\n        frag_color = mix(bg_color, fg_color, sqrt(alpha));\\n    } else {\\n        if( abs(signed_distance) < (linewidth/2.0 + antialias) ) {\\n            frag_color = vec4(fg_color.rgb, fg_color.a * alpha);\\n        } else {\\n            discard;\\n        }\\n    }\\n    return frag_color;\\n}\\n\\nvoid main()\\n{\\n    vec2 P = gl_PointCoord.xy - vec2(0.5, 0.5);\\n    P = vec2(v_rotation.x*P.x - v_rotation.y*P.y,\\n             v_rotation.y*P.x + v_rotation.x*P.y);\\n    float point_size = SQRT_2*v_size  + 2.0 * (v_linewidth + 1.5*u_antialias);\\n    float distance = marker(P*point_size, v_size);\\n    gl_FragColor = outline(distance, v_linewidth, u_antialias, v_fg_color, v_bg_color);\\n    //gl_FragColor.rgb *= gl_FragColor.a;  // pre-multiply alpha\\n}\\n`,s.circle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return length(P) - size/2.0;\\n}\\n\",s.square=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n\",s.diamond=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    return r1 / SQRT_2;\\n}\\n\",s.hex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    vec2 q = abs(P);\\n    return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n\",s.triangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y -= size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.invertedtriangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y += size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = - P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.cross='\\nfloat marker(vec2 P, float size)\\n{\\n    float square = max(abs(P.x), abs(P.y)) - size / 2.5;   // 2.5 is a tweak\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(square, cross);\\n}\\n',s.circlecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.squarecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.diamondcross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    diamond /= SQRT_2;\\n    float c1 = max(diamond, s1);\\n    float c2 = max(diamond, s2);\\n    float c3 = max(diamond, s3);\\n    float c4 = max(diamond, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.x='\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size / 1.6;\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(circle, X);\\n}\\n',s.circlex='\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    float almost = min(min(min(c1, c2), c3), c4);\\n    // In this case, the X is also outside of the main shape\\n    float Xmask = length(P) - size / 1.6;  // a circle\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return min(max(X, Xmask), almost);\\n}\\n',s.squarex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.asterisk='\\nfloat marker(vec2 P, float size)\\n{\\n    // Masks\\n    float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / (2.0 * SQRT_2);\\n    float square = max(abs(P.x), abs(P.y)) - size / (2.0 * SQRT_2);\\n    // Shapes\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    // Result is union of masked shapes\\n    return min(max(X, diamond), max(cross, square));\\n}\\n'},\n      }, 370, {\"models/glyphs/webgl/main\":370,\"models/glyphs/webgl/index\":371,\"models/glyphs/webgl/line\":372,\"models/glyphs/webgl/base\":374,\"models/glyphs/webgl/line.vert\":375,\"models/glyphs/webgl/line.frag\":376,\"models/glyphs/webgl/markers\":377,\"models/glyphs/webgl/markers.vert\":378,\"models/glyphs/webgl/markers.frag\":379}, {});\n      })\n\n\n      /* END bokeh-gl.min.js */\n    },\n    \n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      /* BEGIN panel.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], undefined);\n      })(this, function(Bokeh, version) {\n        var define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      \"4e90918c0a\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"22ae8fda70\"));o.Panel=s,e(\"@bokehjs/base\").register_models(s)},\n      \"22ae8fda70\": function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=a(\"tslib\");var t=a(\"3343056bd8\");r.AcePlot=t.AcePlot;var c=a(\"66d52165db\");r.Audio=c.Audio;var l=a(\"71a9759436\");r.CommManager=l.CommManager;var d=a(\"d0d2aafca0\");r.DeckGLPlot=d.DeckGLPlot;var v=a(\"ed08037ce5\");r.HTML=v.HTML;var b=a(\"284504a0cf\");r.JSON=b.JSON;var P=a(\"61c9ac7aac\");r.FileDownload=P.FileDownload;var f=a(\"7b859fb3cf\");r.KaTeX=f.KaTeX;var i=a(\"0c21036737\");r.MathJax=i.MathJax;var n=a(\"79c41bbf71\");r.Player=n.Player;var s=a(\"56da045fbd\");r.PlotlyPlot=s.PlotlyPlot;var M=a(\"76307e5afa\");r.Progress=M.Progress;var S=a(\"38b2bc9574\");r.State=S.State;var g=a(\"294adeb985\");r.VegaPlot=g.VegaPlot;var m=a(\"b0c3e9e9c2\");r.Video=m.Video;var V=a(\"3c7145a2fa\");r.VideoStream=V.VideoStream,o.__exportStar(a(\"ecfbb965eb\"),r)},\n      \"3343056bd8\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),n=e(\"@bokehjs/core/dom\"),a=e(\"7116a7a602\");class d extends a.PanelHTMLBoxView{initialize(){super.initialize(),this._ace=window.ace,this._container=n.div({id:\"_\"+Math.random().toString(36).substr(2,9),style:{width:\"100%\",height:\"100%\"}})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.code.change,()=>this._update_code_from_model()),this.connect(this.model.properties.theme.change,()=>this._update_theme()),this.connect(this.model.properties.language.change,()=>this._update_language()),this.connect(this.model.properties.annotations.change,()=>this._add_annotations()),this.connect(this.model.properties.readonly.change,()=>{this._editor.setReadOnly(this.model.readonly)})}render(){super.render(),this._container!==this.el.childNodes[0]&&this.el.appendChild(this._container),this._container.textContent=this.model.code,this._editor=this._ace.edit(this._container.id),this._editor.setTheme(\"ace/theme/\"+this.model.theme),this._editor.session.setMode(\"ace/mode/\"+this.model.language),this._editor.setReadOnly(this.model.readonly),this._langTools=this._ace.require(\"ace/ext/language_tools\"),this._editor.setOptions({enableBasicAutocompletion:!0,enableSnippets:!0,fontFamily:\"monospace\"}),this._editor.on(\"change\",()=>this._update_code_from_editor())}_update_code_from_model(){this._editor&&this._editor.getValue()!=this.model.code&&this._editor.setValue(this.model.code)}_update_code_from_editor(){this._editor.getValue()!=this.model.code&&(this.model.code=this._editor.getValue())}_update_theme(){this._editor.setTheme(\"ace/theme/\"+this.model.theme)}_update_language(){this._editor.session.setMode(\"ace/mode/\"+this.model.language)}_add_annotations(){this._editor.session.setAnnotations(this.model.annotations)}after_layout(){super.after_layout(),this._editor.resize()}}o.AcePlotView=d,d.__name__=\"AcePlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_AcePlot(){this.prototype.default_view=d,this.define({code:[i.String],language:[i.String,\"python\"],theme:[i.String,\"chrome\"],annotations:[i.Array,[]],readonly:[i.Boolean,!1]}),this.override({height:300,width:300})}}o.AcePlot=h,h.__name__=\"AcePlot\",h.__module__=\"panel.models.ace\",h.init_AcePlot()},\n      \"7116a7a602\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(\"@bokehjs/core/layout/html\"),h=e(\"@bokehjs/core/layout/types\"),o=e(\"@bokehjs/core/dom\"),n=e(\"@bokehjs/models/widgets/markup\"),_=e(\"@bokehjs/models/layouts/html_box\");function a(e,i){let t=null!=i.width?\"fixed\":\"fit\",s=null!=i.height?\"fixed\":\"fit\";const{sizing_mode:h}=i;if(null!=h)if(\"fixed\"==h)t=s=\"fixed\";else if(\"stretch_both\"==h)t=s=\"max\";else if(\"stretch_width\"==h)t=\"max\";else if(\"stretch_height\"==h)s=\"max\";else switch(h){case\"scale_width\":t=\"max\",s=\"min\";break;case\"scale_height\":t=\"min\",s=\"max\";break;case\"scale_both\":t=\"max\",s=\"max\";break;default:throw new Error(\"unreachable\")}\"fixed\"==t&&i.width?e.style.width=i.width+\"px\":\"max\"==t&&(e.style.width=\"100%\"),\"fixed\"==s&&i.height?e.style.height=i.height+\"px\":\"max\"==s&&(e.style.height=\"100%\")}t.set_size=a;class d extends s.VariadicBox{constructor(e,i,t){super(e),this.el=e,this.sizing_mode=i,this.changed=t,this._cache=new Map,this._cache_count=new Map}_measure(e){const i=[e.width,e.height,this.sizing_mode].toString(),t=this.changed&&\"fixed\"!=this.sizing_mode&&null!=this.sizing_mode?1:0,s=this._cache.get(i),n=this._cache_count.get(i);if(null!=s&&null!=n&&n>=t)return this._cache_count.set(i,n+1),s;const _=new h.Sizeable(e).bounded_to(this.sizing.size),a=o.sized(this.el,_,()=>{const e=new h.Sizeable(o.content_size(this.el)),{border:i,padding:t}=o.extents(this.el);return e.grow_by(i).grow_by(t).map(Math.ceil)});return this._cache.set(i,a),this._cache_count.set(i,0),a}invalidate_cache(){}}t.CachedVariadicBox=d,d.__name__=\"CachedVariadicBox\";class l extends n.MarkupView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.markup_el,this.model)}}t.PanelMarkupView=l,l.__name__=\"PanelMarkupView\";class c extends _.HTMLBoxView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.el,this.model)}}t.PanelHTMLBoxView=c,c.__name__=\"PanelHTMLBoxView\"},\n      \"66d52165db\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.audioEl=document.createElement(\"audio\"),this.audioEl.controls=!0,this.audioEl.src=this.model.value,this.audioEl.currentTime=this.model.time,this.audioEl.loop=this.model.loop,null!=this.model.volume?this.audioEl.volume=this.model.volume/100:this.model.volume=100*this.audioEl.volume,this.audioEl.onpause=()=>this.model.paused=!0,this.audioEl.onplay=()=>this.model.paused=!1,this.audioEl.ontimeupdate=()=>this.update_time(this),this.audioEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.audioEl),this.model.paused||this.audioEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.audioEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.audioEl.volume)}set_loop(){this.audioEl.loop=this.model.loop}set_paused(){!this.audioEl.paused&&this.model.paused&&this.audioEl.pause(),this.audioEl.paused&&!this.model.paused&&this.audioEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.audioEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.audioEl.currentTime=this.model.time)}set_value(){this.audioEl.src=this.model.value}}i.AudioView=d,d.__name__=\"AudioView\";class u extends s.HTMLBox{constructor(e){super(e)}static init_Audio(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}i.Audio=u,u.__name__=\"Audio\",u.__module__=\"panel.models.widgets\",u.init_Audio()},\n      \"71a9759436\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/document\"),s=e(\"@bokehjs/core/view\"),c=e(\"@bokehjs/model\"),_=e(\"@bokehjs/protocol/message\"),l=e(\"@bokehjs/protocol/receiver\");class r extends s.View{renderTo(){}}n.CommManagerView=r,r.__name__=\"CommManagerView\";class a extends c.Model{constructor(e){super(e),this._document_listener=e=>this._document_changed(e),this._receiver=new l.Receiver,this._event_buffer=[],this._blocked=!1,this._timeout=Date.now(),null!=window.PyViz&&window.PyViz.comm_manager?(this.ns=window.PyViz,this.ns.comm_manager.register_target(this.plot_id,this.comm_id,e=>this.msg_handler(e)),this._client_comm=this.ns.comm_manager.get_client_comm(this.plot_id,this.client_comm_id,e=>this.on_ack(e))):console.log(\"Could not find comm manager on window.PyViz, ensure the extension is loaded.\")}_doc_attached(){super._doc_attached(),null!=this.document&&this.document.on_change(this._document_listener)}_document_changed(e){e.setter_id!==this.id&&(e instanceof i.ModelChangedEvent&&!(e.attr in e.model.serializable_attributes())||(this._event_buffer.unshift(e),(!this._blocked||Date.now()>this._timeout)&&(setTimeout(()=>this.process_events(),this.debounce),this._blocked=!0,this._timeout=Date.now()+this.timeout)))}process_events(){if(null==this.document||null==this._client_comm)return;const e=_.Message.create(\"PATCH-DOC\",{},this.document.create_json_patch(this._event_buffer));this._client_comm.send(e),this._event_buffer=[]}on_ack(e){const t=e.metadata;this._event_buffer.length?(this.process_events(),this._blocked=!0,this._timeout=Date.now()+this.timeout):this._blocked=!1,this._event_buffer=[],\"Ready\"==t.msg_type&&t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback)}msg_handler(e){const t=e.metadata,n=e.buffers,o=e.content.data,i=this.plot_id;if(\"Ready\"==t.msg_type)t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback);else if(null!=i){let e=null;if(i in this.ns.plot_index&&null!=this.ns.plot_index[i]?e=this.ns.plot_index[i]:void 0!==window.Bokeh&&i in window.Bokeh.index&&(e=window.Bokeh.index[i]),null==e)return;null!=n&&n.length>0?this._receiver.consume(n[0].buffer):this._receiver.consume(o);const t=this._receiver.message;null!=t&&Object.keys(t.content).length>0&&null!=this.document&&this.document.apply_json_patch(t.content,t.buffers,this.id)}}static init_CommManager(){this.prototype.default_view=r,this.define({plot_id:[o.String,null],comm_id:[o.String,null],client_comm_id:[o.String,null],timeout:[o.Number,5e3],debounce:[o.Number,50]})}}n.CommManager=a,a.__name__=\"CommManager\",a.__module__=\"panel.models.comm_manager\",a.init_CommManager()},\n      \"d0d2aafca0\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\"),n=e(\"@bokehjs/core/dom\"),a=i.__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),c=e(\"7116a7a602\"),r=e(\"064eac2866\"),d=i.__importDefault(e(\"093eb75864\"));function l(){const e={},t=window.deck,o=Object.keys(t).filter(e=>e.charAt(0)===e.charAt(0).toUpperCase());for(const i of o)e[i]=t[i];return e}class _ extends c.PanelHTMLBoxView{connect_signals(){super.connect_signals();const{data:e,mapbox_api_key:t,tooltip:o,layers:i,initialViewState:n,data_sources:a}=this.model.properties;this.on_change([t,o],()=>this.render()),this.on_change([e,n],()=>this.updateDeck()),this.on_change([i],()=>this._update_layers()),this.on_change([a],()=>this._connect_sources(!0)),this._layer_map={},this._connected=[],this._connect_sources()}_update_layers(){this._layer_map={},this._update_data(!0)}_connect_sources(e=!1){for(const e of this.model.data_sources)this._connected.indexOf(e)<0&&(this.connect(e.properties.data.change,()=>this._update_data(!0)),this._connected.push(e));this._update_data(e)}initialize(){if(super.initialize(),window.deck.JSONConverter){const{CSVLoader:e,Tile3DLoader:t}=window.loaders;window.loaders.registerLoaders([t,e]);const o={classes:l(),enumerations:{COORDINATE_SYSTEM:window.deck.COORDINATE_SYSTEM,GL:d.default},constants:{Tile3DLoader:t}};this.jsonConverter=new window.deck.JSONConverter({configuration:o})}}_update_data(e=!0){let t=0;for(const e of this.model.layers){let o;if(t+=1,t-1 in this._layer_map)o=this.model.data_sources[this._layer_map[t-1]];else{if(\"number\"!=typeof e.data)continue;this._layer_map[t-1]=e.data,o=this.model.data_sources[e.data]}const i=[],n=o.columns();for(let e=0;e<o.get_length();e++){const t={};for(const i of n){let n=o.get_array(i);const a=null==n[0].shape?null:n[0].shape;null!=a&&a.length>1&&\"number\"==typeof a[0]?t[i]=n.slice(e*a[1],e*a[1]+a[1]):t[i]=n[e]}i.push(t)}e.data=i}e&&this.updateDeck()}_on_click_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.clickState=t}_on_hover_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.hoverState=t}_on_viewState_event(e){this.model.viewState=e.viewState}getData(){return Object.assign(Object.assign({},this.model.data),{layers:this.model.layers,initialViewState:this.model.initialViewState,onViewStateChange:e=>this._on_viewState_event(e),onClick:e=>this._on_click_event(e),onHover:e=>this._on_hover_event(e)})}updateDeck(){if(!this.deckGL)return void this.render();const e=this.getData();if(window.deck.updateDeck)window.deck.updateDeck(e,this.deckGL);else{const t=this.jsonConverter.convert(e);this.deckGL.setProps(t)}}createDeck({mapboxApiKey:e,container:t,jsonInput:o,tooltip:i}){let n;try{const a=this.jsonConverter.convert(o),s=r.makeTooltip(i);n=new window.deck.DeckGL(Object.assign(Object.assign({},a),{map:window.mapboxgl,mapboxApiAccessToken:e,container:t,getTooltip:s}))}catch(e){console.error(e)}return n}render(){super.render();const e=n.div({class:\"deckgl\"});c.set_size(e,this.model);const t=this.model.mapbox_api_key,o=this.model.tooltip,i=this.getData();window.deck.createDeck?this.deckGL=window.deck.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}):this.deckGL=this.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}),this.el.appendChild(e)}}o.DeckGLPlotView=_,_.__name__=\"DeckGLPlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_DeckGLPlot(){this.prototype.default_view=_,this.define({data:[a.Any],data_sources:[a.Array,[]],clickState:[a.Any],hoverState:[a.Any],initialViewState:[a.Any],layers:[a.Array,[]],mapbox_api_key:[a.String],tooltip:[a.Any],viewState:[a.Any]}),this.override({height:400,width:600})}}o.DeckGLPlot=h,h.__name__=\"DeckGLPlot\",h.__module__=\"panel.models.deckgl\",h.init_DeckGLPlot()},\n      \"064eac2866\": function _(e,t,n){\n      /*\n          This file was adapted from https://github.com/uber/deck.gl/ the LICENSE\n          below is preserved to comply with the original license.\n          \n          Copyright (c) 2015 - 2017 Uber Technologies, Inc.\n          \n          Permission is hereby granted, free of charge, to any person obtaining a copy\n          of this software and associated documentation files (the \"Software\"), to deal\n          in the Software without restriction, including without limitation the rights\n          to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n          copies of the Software, and to permit persons to whom the Software is\n          furnished to do so, subject to the following conditions:\n          \n          The above copyright notice and this permission notice shall be included in\n          all copies or substantial portions of the Software.\n          \n          THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n          IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n          FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n          AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n          LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n          OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n          THE SOFTWARE.\n          */\n      let i,l;Object.defineProperty(n,\"__esModule\",{value:!0});const o={fontFamily:'\"Helvetica Neue\", Helvetica, Arial, sans-serif',display:\"flex\",flex:\"wrap\",maxWidth:\"500px\",flexDirection:\"column\",zIndex:2};function r(){return document.createElement(\"div\")}function s(e){if(!e.picked)return null;if(e.object===i)return l;const t={html:a(e.object),style:o};return l=t,i=e.object,t}n.getTooltipDefault=s;const c=new Set([\"position\",\"index\"]);function a(e){const t=r();for(const n in e){if(c.has(n))continue;const i=r();i.className=\"header\",i.textContent=n;const l=r();l.className=\"value\",l.textContent=u(e[n]);const 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\"093eb75864\": function _(E,_,R){_.exports={DEPTH_BUFFER_BIT:256,STENCIL_BUFFER_BIT:1024,COLOR_BUFFER_BIT:16384,POINTS:0,LINES:1,LINE_LOOP:2,LINE_STRIP:3,TRIANGLES:4,TRIANGLE_STRIP:5,TRIANGLE_FAN:6,ZERO:0,ONE:1,SRC_COLOR:768,ONE_MINUS_SRC_COLOR:769,SRC_ALPHA:770,ONE_MINUS_SRC_ALPHA:771,DST_ALPHA:772,ONE_MINUS_DST_ALPHA:773,DST_COLOR:774,ONE_MINUS_DST_COLOR:775,SRC_ALPHA_SATURATE:776,CONSTANT_COLOR:32769,ONE_MINUS_CONSTANT_COLOR:32770,CONSTANT_ALPHA:32771,ONE_MINUS_CONSTANT_ALPHA:32772,FUNC_ADD:32774,FUNC_SUBTRACT:32778,FUNC_REVERSE_SUBTRACT:32779,BLEND_EQUATION:32777,BLEND_EQUATION_RGB:32777,BLEND_EQUATION_ALPHA:34877,BLEND_DST_RGB:32968,BLEND_SRC_RGB:32969,BLEND_DST_ALPHA:32970,BLEND_SRC_ALPHA:32971,BLEND_COLOR:32773,ARRAY_BUFFER_BINDING:34964,ELEMENT_ARRAY_BUFFER_BINDING:34965,LINE_WIDTH:2849,ALIASED_POINT_SIZE_RANGE:33901,ALIASED_LINE_WIDTH_RANGE:33902,CULL_FACE_MODE:2885,FRONT_FACE:2886,DEPTH_RANGE:2928,DEPTH_WRITEMASK:2930,DEPTH_CLEAR_VALUE:2931,DEPTH_FUNC:2932,STENCIL_CLEAR_VALUE:2961,STENCIL_FUNC:2962,STENCIL_FAIL:2964,STENCIL_PASS_DEPTH_FAIL:2965,STENCIL_PASS_DEPTH_PASS:2966,STENCIL_REF:2967,STENCIL_VALUE_MASK:2963,STENCIL_WRITEMASK:2968,STENCIL_BACK_FUNC:34816,STENCIL_BACK_FAIL:34817,STENCIL_BACK_PASS_DEPTH_FAIL:34818,STENCIL_BACK_PASS_DEPTH_PASS:34819,STENCIL_BACK_REF:36003,STENCIL_BACK_VALUE_MASK:36004,STENCIL_BACK_WRITEMASK:36005,VIEWPORT:2978,SCISSOR_BOX:3088,COLOR_CLEAR_VALUE:3106,COLOR_WRITEMASK:3107,UNPACK_ALIGNMENT:3317,PACK_ALIGNMENT:3333,MAX_TEXTURE_SIZE:3379,MAX_VIEWPORT_DIMS:3386,SUBPIXEL_BITS:3408,RED_BITS:3410,GREEN_BITS:3411,BLUE_BITS:3412,ALPHA_BITS:3413,DEPTH_BITS:3414,STENCIL_BITS:3415,POLYGON_OFFSET_UNITS:10752,POLYGON_OFFSET_FACTOR:32824,TEXTURE_BINDING_2D:32873,SAMPLE_BUFFERS:32936,SAMPLES:32937,SAMPLE_COVERAGE_VALUE:32938,SAMPLE_COVERAGE_INVERT:32939,COMPRESSED_TEXTURE_FORMATS:34467,VENDOR:7936,RENDERER:7937,VERSION:7938,IMPLEMENTATION_COLOR_READ_TYPE:35738,IMPLEMENTATION_COLOR_READ_FORMAT:35739,BROWSER_DEFAULT_WEBGL:37444,STATIC_DRAW:35044,STREAM_DRAW:35040,DYNAMIC_DRAW:35048,ARRAY_BUFFER:34962,ELEMENT_ARRAY_BUFFER:34963,BUFFER_SIZE:34660,BUFFER_USAGE:34661,CURRENT_VERTEX_ATTRIB:34342,VERTEX_ATTRIB_ARRAY_ENABLED:34338,VERTEX_ATTRIB_ARRAY_SIZE:34339,VERTEX_ATTRIB_ARRAY_STRIDE:34340,VERTEX_ATTRIB_ARRAY_TYPE:34341,VERTEX_ATTRIB_ARRAY_NORMALIZED:34922,VERTEX_ATTRIB_ARRAY_POINTER:34373,VERTEX_ATTRIB_ARRAY_BUFFER_BINDING:34975,CULL_FACE:2884,FRONT:1028,BACK:1029,FRONT_AND_BACK:1032,BLEND:3042,DEPTH_TEST:2929,DITHER:3024,POLYGON_OFFSET_FILL:32823,SAMPLE_ALPHA_TO_COVERAGE:32926,SAMPLE_COVERAGE:32928,SCISSOR_TEST:3089,STENCIL_TEST:2960,NO_ERROR:0,INVALID_ENUM:1280,INVALID_VALUE:1281,INVALID_OPERATION:1282,OUT_OF_MEMORY:1285,CONTEXT_LOST_WEBGL:37442,CW:2304,CCW:2305,DONT_CARE:4352,FASTEST:4353,NICEST:4354,GENERATE_MIPMAP_HINT:33170,BYTE:5120,UNSIGNED_BYTE:5121,SHORT:5122,UNSIGNED_SHORT:5123,INT:5124,UNSIGNED_INT:5125,FLOAT:5126,DOUBLE:5130,DEPTH_COMPONENT:6402,ALPHA:6406,RGB:6407,RGBA:6408,LUMINANCE:6409,LUMINANCE_ALPHA:6410,UNSIGNED_SHORT_4_4_4_4:32819,UNSIGNED_SHORT_5_5_5_1:32820,UNSIGNED_SHORT_5_6_5:33635,FRAGMENT_SHADER:35632,VERTEX_SHADER:35633,COMPILE_STATUS:35713,DELETE_STATUS:35712,LINK_STATUS:35714,VALIDATE_STATUS:35715,ATTACHED_SHADERS:35717,ACTIVE_ATTRIBUTES:35721,ACTIVE_UNIFORMS:35718,MAX_VERTEX_ATTRIBS:34921,MAX_VERTEX_UNIFORM_VECTORS:36347,MAX_VARYING_VECTORS:36348,MAX_COMBINED_TEXTURE_IMAGE_UNITS:35661,MAX_VERTEX_TEXTURE_IMAGE_UNITS:35660,MAX_TEXTURE_IMAGE_UNITS:34930,MAX_FRAGMENT_UNIFORM_VECTORS:36349,SHADER_TYPE:35663,SHADING_LANGUAGE_VERSION:35724,CURRENT_PROGRAM:35725,NEVER:512,ALWAYS:519,LESS:513,EQUAL:514,LEQUAL:515,GREATER:516,GEQUAL:518,NOTEQUAL:517,KEEP:7680,REPLACE:7681,INCR:7682,DECR:7683,INVERT:5386,INCR_WRAP:34055,DECR_WRAP:34056,NEAREST:9728,LINEAR:9729,NEAREST_MIPMAP_NEAREST:9984,LINEAR_MIPMAP_NEAREST:9985,NEAREST_MIPMAP_LINEAR:9986,LINEAR_MIPMAP_LINEAR:9987,TEXTURE_MAG_FILTER:10240,TEXTURE_MIN_FILTER:10241,TEXTURE_WRAP_S:10242,TEXTURE_WRAP_T:10243,TEXTURE_2D:3553,TEXTURE:5890,TEXTURE_CUBE_MAP:34067,TEXTURE_BINDING_CUBE_MAP:34068,TEXTURE_CUBE_MAP_POSITIVE_X:34069,TEXTURE_CUBE_MAP_NEGATIVE_X:34070,TEXTURE_CUBE_MAP_POSITIVE_Y:34071,TEXTURE_CUBE_MAP_NEGATIVE_Y:34072,TEXTURE_CUBE_MAP_POSITIVE_Z:34073,TEXTURE_CUBE_MAP_NEGATIVE_Z:34074,MAX_CUBE_MAP_TEXTURE_SIZE:34076,TEXTURE0:33984,ACTIVE_TEXTURE:34016,REPEAT:10497,CLAMP_TO_EDGE:33071,MIRRORED_REPEAT:33648,TEXTURE_WIDTH:4096,TEXTURE_HEIGHT:4097,FLOAT_VEC2:35664,FLOAT_VEC3:35665,FLOAT_VEC4:35666,INT_VEC2:35667,INT_VEC3:35668,INT_VEC4:35669,BOOL:35670,BOOL_VEC2:35671,BOOL_VEC3:35672,BOOL_VEC4:35673,FLOAT_MAT2:35674,FLOAT_MAT3:35675,FLOAT_MAT4:35676,SAMPLER_2D:35678,SAMPLER_CUBE:35680,LOW_FLOAT:36336,MEDIUM_FLOAT:36337,HIGH_FLOAT:36338,LOW_INT:36339,MEDIUM_INT:36340,HIGH_INT:36341,FRAMEBUFFER:36160,RENDERBUFFER:36161,RGBA4:32854,RGB5_A1:32855,RGB565:36194,DEPTH_COMPONENT16:33189,STENCIL_INDEX:6401,STENCIL_INDEX8:36168,DEPTH_STENCIL:34041,RENDERBUFFER_WIDTH:36162,RENDERBUFFER_HEIGHT:36163,RENDERBUFFER_INTERNAL_FORMAT:36164,RENDERBUFFER_RED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none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \"No properties\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \"[]\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n  color: green;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n  color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n  color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n  color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n  color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n  background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: blue;\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n  color: #00008B;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \"►\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n  color: white;\\n  text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \"No properties\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \"[]\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n  color: #31F031;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n  color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n  color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n  color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n  color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n  color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n  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this.config.useToJSON&&\"stringifiable\"===this.type},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"hasKey\",{get:function(){return void 0!==this.key},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"constructorName\",{get:function(){return i(this.json)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"type\",{get:function(){return this.config.useToJSON&&this.json&&this.json.toJSON?\"stringifiable\":n(this.json)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"keys\",{get:function(){if(this.isObject){var t=Object.keys(this.json);return!this.isArray&&this.config.sortPropertiesBy?t.sort(this.config.sortPropertiesBy):t}return[]},enumerable:!0,configurable:!0}),t.prototype.toggleOpen=function(){this.isOpen=!this.isOpen,this.element&&(this.isOpen?this.appendChildren(this.config.animateOpen):this.removeChildren(this.config.animateClose),this.element.classList.toggle(f(\"open\")))},t.prototype.openAtDepth=function(t){void 0===t&&(t=1),t<0||(this.open=t,this.isOpen=0!==t,this.element&&(this.removeChildren(!1),0===t?this.element.classList.remove(f(\"open\")):(this.appendChildren(this.config.animateOpen),this.element.classList.add(f(\"open\")))))},t.prototype.getInlinepreview=function(){var t=this;if(this.isArray)return this.json.length>this.config.hoverPreviewArrayCount?\"Array[\"+this.json.length+\"]\":\"[\"+this.json.map(a).join(\", \")+\"]\";var e=this.keys,r=e.slice(0,this.config.hoverPreviewFieldCount).map((function(e){return 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e=r.keys[o],s=new t(r.json[e],r.open-1,r.config,e);n.appendChild(s.render()),(o+=1)<r.keys.length&&(o>10?i():p(i))};p(i)}else this.keys.forEach((function(e){var o=new t(r.json[e],r.open-1,r.config,e);n.appendChild(o.render())}))},t.prototype.removeChildren=function(t){void 0===t&&(t=!1);var e=this.element.querySelector(\"div.\"+f(\"children\"));if(t){var r=0,n=function(){e&&e.children.length&&(e.removeChild(e.children[0]),(r+=1)>10?n():p(n))};p(n)}else e&&(e.innerHTML=\"\")},t}();r.default=h},\n      \"61c9ac7aac\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(\"tslib\"),s=e(\"@bokehjs/models/widgets/input_widget\"),o=e(\"@bokehjs/styles/buttons\"),n=l.__importStar(e(\"@bokehjs/core/properties\"));class a extends s.InputWidgetView{constructor(){super(...arguments),this._downloadable=!1,this._embed=!1,this._prev_href=\"\",this._prev_download=\"\"}initialize(){super.initialize(),this.model.data&&this.model.filename&&(this._embed=!0)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.button_type.change,()=>this._update_button_style()),this.connect(this.model.properties.filename.change,()=>this._update_download()),this.connect(this.model.properties._transfers.change,()=>this._handle_click()),this.connect(this.model.properties.label.change,()=>this._update_label())}render(){super.render(),this.group_el.style.display=\"flex\",this.group_el.style.alignItems=\"stretch\",this.anchor_el=document.createElement(\"a\"),this._update_button_style(),this._update_label(),this.model.disabled?(this.anchor_el.setAttribute(\"disabled\",\"\"),this._downloadable=!1):(this.anchor_el.removeAttribute(\"disabled\"),this._prev_download&&(this.anchor_el.download=this._prev_download),this._prev_href&&(this.anchor_el.href=this._prev_href),this.anchor_el.download&&this.anchor_el.download&&(this._downloadable=!0)),this._embed?this._make_link_downloadable():(this._click_listener=this._increment_clicks.bind(this),this.anchor_el.addEventListener(\"click\",this._click_listener)),this.group_el.appendChild(this.anchor_el)}_increment_clicks(){this.model.clicks=this.model.clicks+1}_handle_click(){!this.model.auto&&this._downloadable||(this._make_link_downloadable(),!this._embed&&this.model.auto&&(this.anchor_el.removeEventListener(\"click\",this._click_listener),this.anchor_el.click(),this.anchor_el.removeAttribute(\"href\"),this.anchor_el.removeAttribute(\"download\"),this.anchor_el.addEventListener(\"click\",this._click_listener)),this._prev_href=this.anchor_el.getAttribute(\"href\"),this._prev_download=this.anchor_el.getAttribute(\"download\"))}_make_link_downloadable(){this._update_href(),this._update_download(),this.anchor_el.download&&this.anchor_el.href&&(this._downloadable=!0)}_update_href(){if(this.model.data){const e=function(e){const t=atob(e.split(\",\")[1]),i=e.split(\",\")[0].split(\":\")[1].split(\";\")[0],l=new ArrayBuffer(t.length),s=new Uint8Array(l);for(let e=0;e<t.length;e++)s[e]=t.charCodeAt(e);return new Blob([l],{type:i})}(this.model.data);this.anchor_el.href=URL.createObjectURL(e)}}_update_download(){this.model.filename&&(this.anchor_el.download=this.model.filename)}_update_label(){this.anchor_el.textContent=this.model.label}_update_button_style(){if(this.anchor_el.hasAttribute(\"class\")){const e=this.anchor_el.classList.item(1);e&&this.anchor_el.classList.replace(e,o.bk_btn_type(this.model.button_type))}else this.anchor_el.classList.add(o.bk_btn),this.anchor_el.classList.add(o.bk_btn_type(this.model.button_type))}}i.FileDownloadView=a,a.__name__=\"FileDownloadView\";class h extends s.InputWidget{constructor(e){super(e)}static init_FileDownload(){this.prototype.default_view=a,this.define({auto:[n.Boolean,!1],clicks:[n.Number,0],data:[n.String,null],label:[n.String,\"Download\"],filename:[n.String,null],button_type:[n.ButtonType,\"default\"],_transfers:[n.Number,0]}),this.override({title:\"\"})}}i.FileDownload=h,h.__name__=\"FileDownload\",h.__module__=\"panel.models.widgets\",h.init_FileDownload()},\n      \"7b859fb3cf\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(\"@bokehjs/models/widgets/markup\"),n=e(\"7116a7a602\");class r extends n.PanelMarkupView{render(){super.render(),this.markup_el.innerHTML=this.model.text,window.renderMathInElement&&window.renderMathInElement(this.el,{delimiters:[{left:\"$$\",right:\"$$\",display:!0},{left:\"\\\\[\",right:\"\\\\]\",display:!0},{left:\"$\",right:\"$\",display:!1},{left:\"\\\\(\",right:\"\\\\)\",display:!1}]})}}i.KaTeXView=r,r.__name__=\"KaTeXView\";class s extends a.Markup{constructor(e){super(e)}static init_KaTeX(){this.prototype.default_view=r}}i.KaTeX=s,s.__name__=\"KaTeX\",s.__module__=\"panel.models.katex\",s.init_KaTeX()},\n      \"0c21036737\": function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(\"@bokehjs/models/widgets/markup\"),s=e(\"7116a7a602\");class _ extends s.PanelMarkupView{initialize(){super.initialize(),this._hub=window.MathJax.Hub,this._hub.Config({tex2jax:{inlineMath:[[\"$\",\"$\"],[\"\\\\(\",\"\\\\)\"]]}})}render(){super.render(),this._hub&&(this.markup_el.innerHTML=this.model.text,this._hub.Queue([\"Typeset\",this._hub,this.markup_el]))}}a.MathJaxView=_,_.__name__=\"MathJaxView\";class h extends i.Markup{constructor(e){super(e)}static init_MathJax(){this.prototype.default_view=_}}a.MathJax=h,h.__name__=\"MathJax\",h.__module__=\"panel.models.mathjax\",h.init_MathJax()},\n      \"79c41bbf71\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/models/widgets/widget\");function n(e){e.forEach(e=>e.style.borderStyle=\"inset\")}function a(e){e.forEach(e=>e.style.borderStyle=\"outset\")}class r extends l.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.value.change,()=>this.render()),this.connect(this.model.properties.loop_policy.change,()=>this.set_loop_state(this.model.loop_policy)),this.connect(this.model.properties.show_loop_controls.change,()=>{this.model.show_loop_controls&&this.loop_state.parentNode!=this.groupEl?this.groupEl.appendChild(this.loop_state):this.model.show_loop_controls||this.loop_state.parentNode!=this.groupEl||this.el.removeChild(this.loop_state)})}get_height(){return 250}render(){if(null!=this.sliderEl)return this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),void(this.sliderEl.value=String(this.model.value));super.render(),this.groupEl=o.div(),this.groupEl.style.display=\"flex\",this.groupEl.style.flexDirection=\"column\",this.groupEl.style.alignItems=\"center\",this.sliderEl=document.createElement(\"input\"),this.sliderEl.style.width=\"100%\",this.sliderEl.setAttribute(\"type\",\"range\"),this.sliderEl.value=String(this.model.value),this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),this.sliderEl.onchange=e=>this.set_frame(parseInt(e.target.value));const e=o.div();e.style.cssText=\"margin: 0 auto; display: flex; padding: 5px; align-items: stretch; width: 100%;\";const t=\"text-align: center; min-width: 20px; flex-grow: 1; margin: 2px\",s=\"text-align: center; min-width: 40px; flex-grow: 2; margin: 2px\",i=document.createElement(\"button\");i.style.cssText=t,i.appendChild(document.createTextNode(\"–\")),i.onclick=()=>this.slower(),e.appendChild(i);const l=document.createElement(\"button\");l.style.cssText=s,l.appendChild(document.createTextNode(\"❚◀◀\")),l.onclick=()=>this.first_frame(),e.appendChild(l);const r=document.createElement(\"button\");r.style.cssText=s,r.appendChild(document.createTextNode(\"❚◀\")),r.onclick=()=>this.previous_frame(),e.appendChild(r);const d=document.createElement(\"button\");d.style.cssText=s,d.appendChild(document.createTextNode(\"◀\")),d.onclick=()=>this.reverse_animation(),e.appendChild(d);const h=document.createElement(\"button\");h.style.cssText=s,h.appendChild(document.createTextNode(\"❚❚\")),h.onclick=()=>this.pause_animation(),e.appendChild(h);const p=document.createElement(\"button\");p.style.cssText=s,p.appendChild(document.createTextNode(\"▶\")),p.onclick=()=>this.play_animation(),e.appendChild(p);const c=document.createElement(\"button\");c.style.cssText=s,c.appendChild(document.createTextNode(\"▶❚\")),c.onclick=()=>this.next_frame(),e.appendChild(c);const m=document.createElement(\"button\");m.style.cssText=s,m.appendChild(document.createTextNode(\"▶▶❚\")),m.onclick=()=>this.last_frame(),e.appendChild(m);const _=document.createElement(\"button\");_.style.cssText=t,_.appendChild(document.createTextNode(\"+\")),_.onclick=()=>this.faster(),e.appendChild(_),this._toggle_reverse=()=>{a([h,p]),n([d])},this._toogle_pause=()=>{a([d,p]),n([h])},this._toggle_play=()=>{a([d,h]),n([p])},this.loop_state=document.createElement(\"form\"),this.loop_state.style.cssText=\"margin: 0 auto; display: table\";const u=document.createElement(\"input\");u.type=\"radio\",u.value=\"once\",u.name=\"state\";const g=document.createElement(\"label\");g.innerHTML=\"Once\",g.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const f=document.createElement(\"input\");f.setAttribute(\"type\",\"radio\"),f.setAttribute(\"value\",\"loop\"),f.setAttribute(\"name\",\"state\");const v=document.createElement(\"label\");v.innerHTML=\"Loop\",v.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const y=document.createElement(\"input\");y.setAttribute(\"type\",\"radio\"),y.setAttribute(\"value\",\"reflect\"),y.setAttribute(\"name\",\"state\");const x=document.createElement(\"label\");x.innerHTML=\"Reflect\",x.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\",\"once\"==this.model.loop_policy?u.checked=!0:\"loop\"==this.model.loop_policy?f.checked=!0:y.checked=!0,this.loop_state.appendChild(u),this.loop_state.appendChild(g),this.loop_state.appendChild(f),this.loop_state.appendChild(v),this.loop_state.appendChild(y),this.loop_state.appendChild(x),this.groupEl.appendChild(this.sliderEl),this.groupEl.appendChild(e),this.model.show_loop_controls&&this.groupEl.appendChild(this.loop_state),this.el.appendChild(this.groupEl)}set_frame(e){this.model.value!=e&&(this.model.value=e),this.sliderEl.value!=String(e)&&(this.sliderEl.value=String(e))}get_loop_state(){for(var e=this.loop_state.state,t=0;t<e.length;t++){var s=e[t];if(s.checked)return s.value}return\"once\"}set_loop_state(e){for(var t=this.loop_state.state,s=0;s<t.length;s++){var i=t[s];i.value==e&&(i.checked=!0)}}next_frame(){this.set_frame(Math.min(this.model.end,this.model.value+this.model.step))}previous_frame(){this.set_frame(Math.max(this.model.start,this.model.value-this.model.step))}first_frame(){this.set_frame(this.model.start)}last_frame(){this.set_frame(this.model.end)}slower(){this.model.interval=Math.round(this.model.interval/.7),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}faster(){this.model.interval=Math.round(.7*this.model.interval),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}anim_step_forward(){if(this.model.value<this.model.end)this.next_frame();else{var e=this.get_loop_state();\"loop\"==e?this.first_frame():\"reflect\"==e?(this.last_frame(),this.reverse_animation()):(this.pause_animation(),this.last_frame())}}anim_step_reverse(){if(this.model.value>this.model.start)this.previous_frame();else{var e=this.get_loop_state();\"loop\"==e?this.last_frame():\"reflect\"==e?(this.first_frame(),this.play_animation()):(this.pause_animation(),this.first_frame())}}pause_animation(){this._toogle_pause(),this.model.direction=0,this.timer&&(clearInterval(this.timer),this.timer=null)}play_animation(){this.pause_animation(),this._toggle_play(),this.model.direction=1,this.timer||(this.timer=setInterval(()=>this.anim_step_forward(),this.model.interval))}reverse_animation(){this.pause_animation(),this._toggle_reverse(),this.model.direction=-1,this.timer||(this.timer=setInterval(()=>this.anim_step_reverse(),this.model.interval))}}s.PlayerView=r,r.__name__=\"PlayerView\";class d extends l.Widget{constructor(e){super(e)}static init_Player(){this.prototype.default_view=r,this.define({direction:[i.Number,0],interval:[i.Number,500],start:[i.Number],end:[i.Number],step:[i.Number,1],loop_policy:[i.Any,\"once\"],value:[i.Any,0],show_loop_controls:[i.Boolean,!0]}),this.override({width:400})}}s.Player=d,d.__name__=\"Player\",d.__module__=\"panel.models.widgets\",d.init_Player()},\n      \"56da045fbd\": function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),l=t(\"@bokehjs/core/util/object\"),r=t(\"@bokehjs/core/util/eq\"),s=t(\"@bokehjs/models/layouts/html_box\"),n=t(\"99a25e6992\"),a=t(\"990b5dd5c7\"),p=t(\"7116a7a602\"),h=(t,e,o)=>{let i=Array.isArray(e)?[]:{};if(\"click\"===o||\"hover\"===o||\"selected\"===o){const o=[];if(null==e)return null;const l=t.data;for(let t=0;t<e.points.length;t++){const i=e.points[t];let r={};for(let t in i){const e=i[t];!i.hasOwnProperty(t)||Array.isArray(e)||a.isPlainObject(e)||(r[t]=e)}null!=i&&(i.hasOwnProperty(\"curveNumber\")&&i.hasOwnProperty(\"pointNumber\")&&l[i.curveNumber].hasOwnProperty(\"customdata\")&&(r.customdata=l[i.curveNumber].customdata[i.pointNumber]),i.hasOwnProperty(\"pointNumbers\")&&(r.pointNumbers=i.pointNumbers)),o[t]=r}i.points=o}else if(\"relayout\"===o||\"restyle\"===o)for(let t in e)e.hasOwnProperty(t)&&(i[t]=e[t]);return e.hasOwnProperty(\"range\")&&(i.range=e.range),e.hasOwnProperty(\"lassoPoints\")&&(i.lassoPoints=e.lassoPoints),i};class _ extends p.PanelHTMLBoxView{constructor(){super(...arguments),this._settingViewport=!1,this._plotInitialized=!1,this._reacting=!1,this._relayouting=!1,this._end_relayouting=n.debounce(()=>{this._relayouting=!1},2e3,!1)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.viewport_update_policy.change,this._updateSetViewportFunction),this.connect(this.model.properties.viewport_update_throttle.change,this._updateSetViewportFunction),this.connect(this.model.properties._render_count.change,this.plot),this.connect(this.model.properties.viewport.change,this._updateViewportFromProperty)}render(){super.render(),window.Plotly&&this.plot()}plot(){if(!window.Plotly)return;const t=[];for(let e=0;e<this.model.data.length;e++)t.push(this._get_trace(e,!1));let e=a.deepCopy(this.model.layout);if(this._relayouting){const t=this.el.layout;Object.keys(t).reduce((t,o)=>{\"axis\"===o.slice(1,5)&&\"range\"in t&&(e[o].range=t.range)},{})}this._reacting=!0,window.Plotly.react(this.el,t,e,this.model.config).then(()=>{this._updateSetViewportFunction(),this._updateViewportProperty(),this._plotInitialized||(this.el.on(\"plotly_relayout\",t=>{!0!==t._update_from_property&&(this.model.relayout_data=h(this.el,t,\"relayout\"),this._updateViewportProperty(),this._end_relayouting())}),this.el.on(\"plotly_relayouting\",()=>{\"mouseup\"!==this.model.viewport_update_policy&&(this._relayouting=!0,this._updateViewportProperty())}),this.el.on(\"plotly_restyle\",t=>{this.model.restyle_data=h(this.el,t,\"restyle\"),this._updateViewportProperty()}),this.el.on(\"plotly_click\",t=>{this.model.click_data=h(this.el,t,\"click\")}),this.el.on(\"plotly_hover\",t=>{this.model.hover_data=h(this.el,t,\"hover\")}),this.el.on(\"plotly_selected\",t=>{this.model.selected_data=h(this.el,t,\"selected\")}),this.el.on(\"plotly_clickannotation\",t=>{delete t.event,delete t.fullAnnotation,this.model.clickannotation_data=t}),this.el.on(\"plotly_deselect\",()=>{this.model.selected_data=null}),this.el.on(\"plotly_unhover\",()=>{this.model.hover_data=null})),this._plotInitialized=!0,this._reacting=!1})}_get_trace(t,e){const o=l.clone(this.model.data[t]),i=this.model.data_sources[t];for(const t of i.columns()){let l=i.get_array(t)[0];if(null!=l.shape&&l.shape.length>1){const t=[],e=l.shape;for(let o=0;o<e[0];o++)t.push(l.slice(o*e[1],(o+1)*e[1]));l=t}let r=t.split(\".\"),s=r[r.length-1],n=o;for(let t of r.slice(0,-1))n=n[t];e&&1==r.length?n[s]=[l]:n[s]=l}return o}_updateViewportFromProperty(){if(!window.Plotly||this._settingViewport||this._reacting||!this.model.viewport)return;const t=this.el._fullLayout;Object.keys(this.model.viewport).reduce((e,o)=>{if(r.isEqual(a.get(t,o),e))return!0;{let t=a.deepCopy(this.model.viewport);return t._update_from_property=!0,window.Plotly.relayout(this.el,t),!1}},{})}_updateViewportProperty(){const t=this.el._fullLayout;let e={};for(let o in t){if(!t.hasOwnProperty(o))continue;let i=o.slice(0,5);\"xaxis\"!==i&&\"yaxis\"!==i||(e[o+\".range\"]=a.deepCopy(t[o].range))}r.isEqual(e,this.model.viewport)||this._setViewport(e)}_updateSetViewportFunction(){\"continuous\"===this.model.viewport_update_policy||\"mouseup\"===this.model.viewport_update_policy?this._setViewport=t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}:this._setViewport=a.throttle(t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)},this.model.viewport_update_throttle)}}o.PlotlyPlotView=_,_.__name__=\"PlotlyPlotView\";class d extends s.HTMLBox{constructor(t){super(t)}static init_PlotlyPlot(){this.prototype.default_view=_,this.define({data:[i.Array,[]],layout:[i.Any,{}],config:[i.Any,{}],data_sources:[i.Array,[]],relayout_data:[i.Any,{}],restyle_data:[i.Array,[]],click_data:[i.Any,{}],hover_data:[i.Any,{}],clickannotation_data:[i.Any,{}],selected_data:[i.Any,{}],viewport:[i.Any,{}],viewport_update_policy:[i.String,\"mouseup\"],viewport_update_throttle:[i.Number,200],_render_count:[i.Number,0]})}}o.PlotlyPlot=d,d.__name__=\"PlotlyPlot\",d.__module__=\"panel.models.plotly\",d.init_PlotlyPlot()},\n      \"99a25e6992\": function _(n,l,u){function t(n,l,u){var t,e,o,a,r;function i(){var c=Date.now()-a;c<l&&c>=0?t=setTimeout(i,l-c):(t=null,u||(r=n.apply(o,e),o=e=null))}null==l&&(l=100);var c=function(){o=this,e=arguments,a=Date.now();var c=u&&!t;return t||(t=setTimeout(i,l)),c&&(r=n.apply(o,e),o=e=null),r};return c.clear=function(){t&&(clearTimeout(t),t=null)},c.flush=function(){t&&(r=n.apply(o,e),o=e=null,clearTimeout(t),t=null)},c}t.debounce=t,l.exports=t},\n      \"990b5dd5c7\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.get=(t,e,n)=>{const r=n=>String.prototype.split.call(e,n).filter(Boolean).reduce((t,e)=>null!=t?t[e]:t,t),o=r(/[,[\\]]+?/)||r(/[,[\\].]+?/);return void 0===o||o===t?n:o},n.throttle=function(t,e){var n=0;return function(){var r=Number(new Date);r-n>=e&&(t(),n=r)}},n.deepCopy=function t(e){var n;if(null==e||\"object\"!=typeof e)return e;if(e instanceof Array){n=[];for(var r=0,o=e.length;r<o;r++)n[r]=t(e[r]);return n}if(e instanceof Object){const n={};for(const r in e){const o=r;e.hasOwnProperty(o)&&(n[o]=t(e[o]))}return n}throw new Error(\"Unable to copy obj! Its type isn't supported.\")},n.isPlainObject=function(t){return\"[object Object]\"===Object.prototype.toString.call(t)}},\n      \"76307e5afa\": function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),r=e(\"7116a7a602\");class l extends o.HTMLBoxView{connect_signals(){super.connect_signals();const e=()=>{this.render(),this.root.compute_layout()};this.connect(this.model.properties.height.change,e),this.connect(this.model.properties.width.change,e),this.connect(this.model.properties.height_policy.change,e),this.connect(this.model.properties.width_policy.change,e),this.connect(this.model.properties.sizing_mode.change,e),this.connect(this.model.properties.active.change,()=>this.setCSS()),this.connect(this.model.properties.bar_color.change,()=>this.setCSS()),this.connect(this.model.properties.css_classes.change,()=>this.setCSS()),this.connect(this.model.properties.value.change,()=>this.setValue()),this.connect(this.model.properties.max.change,()=>this.setMax())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.progressEl=document.createElement(\"progress\"),this.setValue(),this.setMax(),r.set_size(this.progressEl,this.model),this.setCSS();for(const s in e)this.progressEl.style.setProperty(s,e[s]);this.el.appendChild(this.progressEl)}setCSS(){let e=this.model.css_classes.join(\" \")+\" \"+this.model.bar_color;this.model.active&&(e+=\" active\"),this.progressEl.className=e}setValue(){null!=this.model.value&&(this.progressEl.value=this.model.value)}setMax(){null!=this.model.max&&(this.progressEl.max=this.model.max)}_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new r.CachedVariadicBox(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}}t.ProgressView=l,l.__name__=\"ProgressView\";class h extends o.HTMLBox{constructor(e){super(e)}static init_Progress(){this.prototype.default_view=l,this.define({active:[i.Boolean,!0],bar_color:[i.String,\"primary\"],style:[i.Any,{}],max:[i.Number,100],value:[i.Number,null]})}}t.Progress=h,h.__name__=\"Progress\",h.__module__=\"panel.models.widgets\",h.init_Progress()},\n      \"38b2bc9574\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),a=e(\"@bokehjs/core/view\"),o=e(\"@bokehjs/core/util/array\"),c=e(\"@bokehjs/model\"),n=e(\"@bokehjs/protocol/receiver\");class r extends a.View{renderTo(){}}s.StateView=r,r.__name__=\"StateView\";class _ extends c.Model{constructor(e){super(e),this._receiver=new n.Receiver,this._cache={}}apply_state(e){this._receiver.consume(e.header),this._receiver.consume(e.metadata),this._receiver.consume(e.content),this._receiver.message&&this.document&&this.document.apply_json_patch(this._receiver.message.content)}_receive_json(e,t){const s=JSON.parse(e);this._cache[t]=s;let i=this.state;for(const e of this.values)i=i[e];i===t?this.apply_state(s):this._cache[i]&&this.apply_state(this._cache[i])}set_state(e,t){let s=o.copy(this.values);s[this.widgets[e.id]]=t;let i=this.state;for(const e of s)i=i[e];var a,c,n;this.values=s,this.json?this._cache[i]?this.apply_state(this._cache[i]):(a=i,c=e=>this._receive_json(e,i),(n=new XMLHttpRequest).overrideMimeType(\"application/json\"),n.open(\"GET\",a,!0),n.onreadystatechange=function(){4==n.readyState&&200==n.status&&c(n.responseText)},n.send(null)):this.apply_state(i)}static init_State(){this.prototype.default_view=r,this.define({json:[i.Boolean,!1],state:[i.Any,{}],widgets:[i.Any,{}],values:[i.Any,[]]})}}s.State=_,_.__name__=\"State\",_.__module__=\"panel.models.state\",_.init_State()},\n      \"294adeb985\": function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),a=t(\"@bokehjs/core/util/types\"),n=t(\"@bokehjs/models/layouts/html_box\");class c extends n.HTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,this._plot),this.connect(this.model.properties.data_sources.change,()=>this._connect_sources()),this._connected=[],this._connect_sources()}_connect_sources(){for(const t in this.model.data_sources){const e=this.model.data_sources[t];this._connected.indexOf(t)<0&&(this.connect(e.properties.data.change,this._plot),this._connected.push(t))}}_fetch_datasets(){const t={};for(const e in this.model.data_sources){const s=this.model.data_sources[e],o=[],a=s.columns();for(let t=0;t<s.get_length();t++){const e={};for(const o of a)e[o]=s.data[o][t];o.push(e)}t[e]=o}return t}render(){super.render(),this._plot()}_plot(){const t=this.model.data;if(null!=t&&window.vegaEmbed){if(this.model.data_sources&&Object.keys(this.model.data_sources).length>0){const e=this._fetch_datasets();if(\"data\"in e&&(t.data.values=e.data,delete e.data),null!=t.data){const s=a.isArray(t.data)?t.data:[t.data];for(const t of s)t.name in e&&(t.values=e[t.name],delete e[t.name])}this.model.data.datasets=e}window.vegaEmbed(this.el,this.model.data,{actions:!1})}}}s.VegaPlotView=c,c.__name__=\"VegaPlotView\";class i extends n.HTMLBox{constructor(t){super(t)}static init_VegaPlot(){this.prototype.default_view=c,this.define({data:[o.Any],data_sources:[o.Any]})}}s.VegaPlot=i,i.__name__=\"VegaPlot\",i.__module__=\"panel.models.vega\",i.init_VegaPlot()},\n      \"b0c3e9e9c2\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.videoEl.controls=!0,this.videoEl.src=this.model.value,this.videoEl.currentTime=this.model.time,this.videoEl.loop=this.model.loop,null!=this.model.volume?this.videoEl.volume=this.model.volume/100:this.model.volume=100*this.videoEl.volume,this.videoEl.onpause=()=>this.model.paused=!0,this.videoEl.onplay=()=>this.model.paused=!1,this.videoEl.ontimeupdate=()=>this.update_time(this),this.videoEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.videoEl),this.model.paused||this.videoEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.videoEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.videoEl.volume)}set_loop(){this.videoEl.loop=this.model.loop}set_paused(){!this.videoEl.paused&&this.model.paused&&this.videoEl.pause(),this.videoEl.paused&&!this.model.paused&&this.videoEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.videoEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.videoEl.currentTime=this.model.time)}set_value(){this.videoEl.src=this.model.value}}t.VideoView=d,d.__name__=\"VideoView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_Video(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}t.Video=h,h.__name__=\"Video\",h.__module__=\"panel.models.widgets\",h.init_Video()},\n      \"3c7145a2fa\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"7116a7a602\");class a extends h.PanelHTMLBoxView{constructor(){super(...arguments),this.constraints={audio:!1,video:!0}}initialize(){super.initialize(),null!==this.model.timeout&&this.set_timeout()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.timeout.change,()=>this.set_timeout()),this.connect(this.model.properties.snapshot.change,()=>this.snapshot()),this.connect(this.model.properties.paused.change,()=>this.pause())}pause(){this.model.paused&&(null!=this.timer&&(clearInterval(this.timer),this.timer=null),this.videoEl.pause()),this.set_timeout()}set_timeout(){this.timer&&(clearInterval(this.timer),this.timer=null),this.model.timeout>0&&(this.timer=setInterval(()=>this.snapshot(),this.model.timeout))}snapshot(){this.canvasEl.width=this.videoEl.videoWidth,this.canvasEl.height=this.videoEl.videoHeight;const e=this.canvasEl.getContext(\"2d\");e&&e.drawImage(this.videoEl,0,0,this.canvasEl.width,this.canvasEl.height),this.model.value=this.canvasEl.toDataURL(\"image/\"+this.model.format,.95)}remove(){super.remove(),this.timer&&(clearInterval(this.timer),this.timer=null)}render(){super.render(),this.videoEl||(this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.canvasEl=document.createElement(\"canvas\"),this.el.appendChild(this.videoEl),navigator.mediaDevices.getUserMedia&&navigator.mediaDevices.getUserMedia(this.constraints).then(e=>{this.videoEl.srcObject=e,this.model.paused||this.videoEl.play()}).catch(console.error))}}i.VideoStreamView=a,a.__name__=\"VideoStreamView\";class l extends o.HTMLBox{constructor(e){super(e)}static init_VideoStream(){this.prototype.default_view=a,this.define({format:[s.String,\"png\"],paused:[s.Boolean,!1],snapshot:[s.Boolean,!1],timeout:[s.Number,0],value:[s.Any]}),this.override({height:240,width:320})}}i.VideoStream=l,l.__name__=\"VideoStream\",l.__module__=\"panel.models.widgets\",l.init_VideoStream()},\n      \"ecfbb965eb\": function _(e,o,l){Object.defineProperty(l,\"__esModule\",{value:!0});var V=e(\"5b5e56e89a\");l.VTKPlot=V.VTKPlot;var t=e(\"729dd26c71\");l.VTKVolumePlot=t.VTKVolumePlot;var K=e(\"e23461e5d7\");l.VTKAxes=K.VTKAxes},\n      \"5b5e56e89a\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/core/dom\"),a=e(\"c704c63c0a\"),o=e(\"aaf560d219\");class r extends a.AbstractVTKView{constructor(){super(...arguments),this._axes_initialized=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.axes.change,()=>{this._delete_axes(),this.model.axes&&this._set_axes(),this._vtk_renwin.getRenderWindow().render()}),this.el.addEventListener(\"mouseenter\",()=>{const e=this._vtk_renwin.getInteractor();this.model.enable_keybindings&&(document.querySelector(\"body\").addEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").addEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").addEventListener(\"keyup\",e.handleKeyUp))}),this.el.addEventListener(\"mouseleave\",()=>{const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)})}render(){super.render(),this._axes=null,this._axes_initialized=!1,this._plot()}after_layout(){this._axes_initialized||(this._render_axes_canvas(),this._axes_initialized=!0)}_render_axes_canvas(){const e=this._vtk_container.getElementsByTagName(\"canvas\");if(1!=e.length)throw Error(\"Error at initialization of the 3D scene, container should have one and only one canvas\");e[0].classList.add(\"scene3d-canvas\");const t=i.canvas({style:{position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"}});t.classList.add(\"axes-canvas\"),this._vtk_container.appendChild(t),this._vtk_renwin.setResizeCallback(()=>{const e=this._vtk_container.getBoundingClientRect(),n=Math.floor(e.width*window.devicePixelRatio),s=Math.floor(e.height*window.devicePixelRatio);t.setAttribute(\"width\",n.toFixed()),t.setAttribute(\"height\",s.toFixed())})}_delete_axes(){if(null==this._axes)return;Object.keys(this._axes).forEach(e=>this._vtk_renwin.getRenderer().removeActor(this._axes[e]));const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],t=e.getContext(\"2d\");t&&t.clearRect(0,0,e.clientWidth*window.devicePixelRatio,e.clientHeight*window.devicePixelRatio),this._axes=null}_set_axes(){if(this.model.axes){const e=this._vtk_renwin.getContainer().getElementsByClassName(\"axes-canvas\")[0],{psActor:t,axesActor:n,gridActor:s}=this.model.axes.create_axes(e);this._axes={psActor:t,axesActor:n,gridActor:s},this._vtk_renwin.getRenderer().addActor(t),this._vtk_renwin.getRenderer().addActor(n),this._vtk_renwin.getRenderer().addActor(s)}}_plot(){if(!this.model.data)return void this._vtk_renwin.getRenderWindow().render();const e=o.vtkns.DataAccessHelper.get(\"zip\",{zipContent:atob(this.model.data),callback:t=>{const n=o.vtkns.HttpSceneLoader.newInstance({renderer:this._vtk_renwin.getRenderer(),dataAccessHelper:e}),s=o.vtk.macro.debounce(()=>{null==this._axes&&this.model.axes&&this._set_axes(),this.model.properties.camera.change.emit()},100);n.setUrl(\"index.json\"),n.onReady(s)}})}}n.VTKPlotView=r,r.__name__=\"VTKPlotView\";class d extends a.AbstractVTKPlot{constructor(e){super(e),this.outline=o.vtkns.OutlineFilter.newInstance();const t=o.vtkns.Mapper.newInstance();t.setInputConnection(this.outline.getOutputPort()),this.outline_actor=o.vtkns.Actor.newInstance(),this.outline_actor.setMapper(t)}static init_VTKPlot(){this.prototype.default_view=r,this.define({data:[s.String],axes:[s.Instance],enable_keybindings:[s.Boolean,!1]})}}n.VTKPlot=d,d.__name__=\"VTKPlot\",d.init_VTKPlot()},\n      \"c704c63c0a\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"@bokehjs/core/dom\"),s=e(\"@bokehjs/core/util/object\"),a=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"7116a7a602\"),_=e(\"aaf560d219\");class d extends o.PanelHTMLBoxView{constructor(){super(...arguments),this._setting_camera=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>{this.invalidate_render()}),this.connect(this.model.properties.orientation_widget.change,()=>{this._orientation_widget_visibility(this.model.orientation_widget)}),this.connect(this.model.properties.camera.change,()=>this._set_camera_state())}_orientation_widget_visibility(e){this._orientationWidget.setEnabled(e),e?this._widgetManager.enablePicking():this._widgetManager.disablePicking(),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderWindow().render()}_create_orientation_widget(){const e=_.vtkns.AxesActor.newInstance(),t=_.vtkns.OrientationMarkerWidget.newInstance({actor:e,interactor:this._vtk_renwin.getInteractor()});t.setEnabled(!0),t.setViewportCorner(_.vtkns.OrientationMarkerWidget.Corners.BOTTOM_RIGHT),t.setViewportSize(.15),t.setMinPixelSize(100),t.setMaxPixelSize(300),this._orientationWidget=t;const i=_.vtkns.WidgetManager.newInstance();i.setRenderer(t.getRenderer());const n=_.vtkns.InteractiveOrientationWidget.newInstance();n.placeWidget(e.getBounds()),n.setBounds(e.getBounds()),n.setPlaceFactor(1);const r=i.addWidget(n);this._widgetManager=i,r.onOrientationChange(({direction:e})=>{const t=this._vtk_renwin.getRenderer().getActiveCamera(),i=t.getFocalPoint(),n=t.getPosition(),r=t.getViewUp(),s=Math.sqrt(Math.pow(n[0]-i[0],2)+Math.pow(n[1]-i[1],2)+Math.pow(n[2]-i[2],2));t.setPosition(i[0]+e[0]*s,i[1]+e[1]*s,i[2]+e[2]*s),e[0]&&t.setViewUp(_.majorAxis(r,1,2)),e[1]&&t.setViewUp(_.majorAxis(r,0,2)),e[2]&&t.setViewUp(_.majorAxis(r,0,1)),this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}),this._orientation_widget_visibility(this.model.orientation_widget)}_get_camera_state(){if(!this._setting_camera){this._setting_camera=!0;const e=s.clone(this._vtk_renwin.getRenderer().getActiveCamera().get());delete e.classHierarchy,delete e.vtkObject,delete e.vtkCamera,delete e.viewPlaneNormal,this.model.camera=e,this._setting_camera=!1}}_set_camera_state(){if(!this._setting_camera){this._setting_camera=!0;try{this.model.camera&&this._vtk_renwin.getRenderer().getActiveCamera().set(this.model.camera)}finally{this._setting_camera=!1}this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_renwin.getRenderWindow().render()}}render(){super.render(),this._orientationWidget=null,this._vtk_container=r.div(),o.set_size(this._vtk_container,this.model),this.el.appendChild(this._vtk_container),this._vtk_renwin=_.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container}),this._remove_default_key_binding(),this._create_orientation_widget(),this._vtk_renwin.getRenderer().getActiveCamera().onModified(()=>this._get_camera_state()),this._set_camera_state(),this.model.renderer_el=this._vtk_renwin}after_layout(){super.after_layout(),this._vtk_renwin.resize()}_remove_default_key_binding(){const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}}i.AbstractVTKView=d,d.__name__=\"AbstractVTKView\";class c extends a.HTMLBox{constructor(e){super(e)}getActors(){return this.renderer_el.getRenderer().getActors()}static init_AbstractVTKPlot(){this.define({orientation_widget:[n.Boolean,!1],camera:[n.Instance]}),this.override({height:300,width:300})}}i.AbstractVTKPlot=c,c.__name__=\"AbstractVTKPlot\",c.__module__=\"panel.models.vtk\",c.init_AbstractVTKPlot()},\n      \"aaf560d219\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"@bokehjs/core/util/array\");function a(t){const e=Math.min(Math.max(Math.round(t),0),255).toString(16);return 2==e.length?e:\"0\"+e}function o(t,e,n){return\"#\"+a(t)+a(e)+a(n)}function i(t){for(var e=new ArrayBuffer(t.length),n=new Uint8Array(e),r=0,a=t.length;r<a;r++)n[r]=t.charCodeAt(r);return e}n.ARRAY_TYPES={uint8:Uint8Array,int8:Int8Array,uint16:Uint16Array,int16:Int16Array,uint32:Uint32Array,int32:Int32Array,float32:Float32Array,float64:Float64Array},n.vtk=window.vtk,n.vtkns={},n.vtk&&(n.vtkns.DataArray=n.vtk.Common.Core.vtkDataArray,n.vtkns.ImageData=n.vtk.Common.DataModel.vtkImageData,n.vtkns.OutlineFilter=n.vtk.Filters.General.vtkOutlineFilter,n.vtkns.CubeSource=n.vtk.Filters.Sources.vtkCubeSource,n.vtkns.LineSource=n.vtk.Filters.Sources.vtkLineSource,n.vtkns.PlaneSource=n.vtk.Filters.Sources.vtkPlaneSource,n.vtkns.PointSource=n.vtk.Filters.Sources.vtkPointSource,n.vtkns.OrientationMarkerWidget=n.vtk.Interaction.Widgets.vtkOrientationMarkerWidget,n.vtkns.DataAccessHelper=n.vtk.IO.Core.DataAccessHelper,n.vtkns.HttpSceneLoader=n.vtk.IO.Core.vtkHttpSceneLoader,n.vtkns.ImageSlice=n.vtk.Rendering.Core.vtkImageSlice,n.vtkns.Actor=n.vtk.Rendering.Core.vtkActor,n.vtkns.AxesActor=n.vtk.Rendering.Core.vtkAxesActor,n.vtkns.Mapper=n.vtk.Rendering.Core.vtkMapper,n.vtkns.ImageMapper=n.vtk.Rendering.Core.vtkImageMapper,n.vtkns.SphereMapper=n.vtk.Rendering.Core.vtkSphereMapper,n.vtkns.WidgetManager=n.vtk.Widgets.Core.vtkWidgetManager,n.vtkns.InteractiveOrientationWidget=n.vtk.Widgets.Widgets3D.vtkInteractiveOrientationWidget,n.vtkns.PixelSpaceCallbackMapper=n.vtk.Rendering.Core.vtkPixelSpaceCallbackMapper,n.vtkns.FullScreenRenderWindow=n.vtk.Rendering.Misc.vtkFullScreenRenderWindow,n.vtkns.VolumeController=n.vtk.Interaction.UI.vtkVolumeController,n.vtkns.Volume=n.vtk.Rendering.Core.vtkVolume,n.vtkns.VolumeMapper=n.vtk.Rendering.Core.vtkVolumeMapper,n.vtkns.ColorTransferFunction=n.vtk.Rendering.Core.vtkColorTransferFunction,n.vtkns.PiecewiseFunction=n.vtk.Common.DataModel.vtkPiecewiseFunction,n.vtkns.BoundingBox=n.vtk.Common.DataModel.vtkBoundingBox),n.hexToRGB=function(t){return[parseInt(t.slice(1,3),16)/255,parseInt(t.slice(3,5),16)/255,parseInt(t.slice(5,7),16)/255]},n.rgbToHex=o,n.vtkLutToMapper=function(t){const{scale:e,nodes:a}=t.get(\"scale\",\"nodes\");if(e!==n.vtkns.ColorTransferFunction.Scale.LINEAR)throw\"Error transfer function scale not handle\";const i=a.map(t=>t.x),s=Math.min(...i),k=Math.max(...i),v=r.linspace(s,k,255),c=[0,0,0];return{low:s,high:k,palette:v.map(e=>(t.getColor(e,c),o(255*c[0],255*c[1],255*c[2])))}},n.data2VTKImageData=function(t){const e=n.vtkns.ImageData.newInstance({spacing:t.spacing});e.setDimensions(t.dims),e.setOrigin(null!=t.origin?t.origin:t.dims.map(t=>t/2));const r=n.vtkns.DataArray.newInstance({name:\"scalars\",numberOfComponents:1,values:new n.ARRAY_TYPES[t.dtype](i(atob(t.buffer)))});return e.getPointData().setScalars(r),e},n.majorAxis=function(t,e,n){const r=[0,0,0],a=Math.abs(t[e])>Math.abs(t[n])?e:n,o=t[a]>0?1:-1;return r[a]=o,r},n.cartesian_product=function(...t){return t.reduce((t,e)=>t.flatMap(t=>e.map(e=>[].concat(t,e))))}},\n      \"729dd26c71\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"c704c63c0a\"),n=e(\"aaf560d219\");class o extends r.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.colormap.change,()=>{this.colormap_slector.value=this.model.colormap;const e=new Event(\"change\");this.colormap_slector.dispatchEvent(e)}),this.connect(this.model.properties.shadow.change,()=>{this.shadow_selector.value=this.model.shadow?\"1\":\"0\";const e=new Event(\"change\");this.shadow_selector.dispatchEvent(e)}),this.connect(this.model.properties.sampling.change,()=>{this.sampling_slider.value=this.model.sampling.toFixed(2);const e=new Event(\"input\");this.sampling_slider.dispatchEvent(e)}),this.connect(this.model.properties.edge_gradient.change,()=>{this.edge_gradient_slider.value=this.model.edge_gradient.toFixed(2);const e=new Event(\"input\");this.edge_gradient_slider.dispatchEvent(e)}),this.connect(this.model.properties.rescale.change,()=>{this._controllerWidget.setRescaleColorMap(this.model.rescale),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.ambient.change,()=>{this.volume.getProperty().setAmbient(this.model.ambient),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.diffuse.change,()=>{this.volume.getProperty().setDiffuse(this.model.diffuse),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular.change,()=>{this.volume.getProperty().setSpecular(this.model.specular),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular_power.change,()=>{this.volume.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_volume.change,()=>{this._set_volume_visibility(this.model.display_volume),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_slices.change,()=>{this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_i.change,()=>{this.image_actor_i.getMapper().setISlice(this.model.slice_i),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_j.change,()=>{this.image_actor_j.getMapper().setJSlice(this.model.slice_j),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_k.change,()=>{this.image_actor_k.getMapper().setKSlice(this.model.slice_k),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.render_background.change,()=>{this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.interpolation.change,()=>{this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderWindow().render()})}get volume(){return this._controllerWidget.getActor()}get image_actor_i(){return this._vtk_renwin.getRenderer().getActors()[0]}get image_actor_j(){return this._vtk_renwin.getRenderer().getActors()[1]}get image_actor_k(){return this._vtk_renwin.getRenderer().getActors()[2]}get shadow_selector(){return this.el.querySelector(\".js-shadow\")}get edge_gradient_slider(){return this.el.querySelector(\".js-edge\")}get sampling_slider(){return this.el.querySelector(\".js-spacing\")}get colormap_slector(){return this.el.querySelector(\".js-color-preset\")}_set_interpolation(e){\"fast_linear\"==e?(this.volume.getProperty().setInterpolationTypeToFastLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):\"linear\"==e?(this.volume.getProperty().setInterpolationTypeToLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):(this.volume.getProperty().setInterpolationTypeToNearest(),this.image_actor_i.getProperty().setInterpolationTypeToNearest())}render(){super.render(),this._controllerWidget=n.vtkns.VolumeController.newInstance({size:[400,150],rescaleColorMap:this.model.rescale}),this._vtk_image_data=n.data2VTKImageData(this.model.data),this._controllerWidget.setContainer(this.el),this._vtk_renwin.getRenderWindow().getInteractor(),this._vtk_renwin.getRenderWindow().getInteractor().setDesiredUpdateRate(45),this._plot_volume(),this._connect_controls(),this._plot_slices(),this._set_volume_visibility(this.model.display_volume),this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderer().setBackground(...n.hexToRGB(this.model.render_background)),this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderer().resetCamera()}_connect_controls(){this.colormap_slector.addEventListener(\"change\",()=>{this.model.colormap=this.colormap_slector.value}),this.model.colormap?this.model.properties.colormap.change.emit():this.model.colormap=this.colormap_slector.value,this.shadow_selector.addEventListener(\"change\",()=>{this.model.shadow=!!Number(this.shadow_selector.value)}),(this.model.shadow=!!Number(this.shadow_selector.value))&&this.model.properties.shadow.change.emit(),this.sampling_slider.addEventListener(\"input\",()=>{const e=Number(this.sampling_slider.value);Math.abs(this.model.sampling-e)>=.005&&(this.model.sampling=e)}),Math.abs(this.model.sampling-Number(this.shadow_selector.value))>=.005&&this.model.properties.sampling.change.emit(),this.edge_gradient_slider.addEventListener(\"input\",()=>{const e=Number(this.edge_gradient_slider.value);Math.abs(this.model.edge_gradient-e)>=.005&&(this.model.edge_gradient=e)}),Math.abs(this.model.edge_gradient-Number(this.edge_gradient_slider.value))>=.005&&this.model.properties.edge_gradient.change.emit()}_plot_volume(){const e=this._vtk_image_data,t=n.vtkns.Volume.newInstance(),i=n.vtkns.VolumeMapper.newInstance();t.setMapper(i),i.setInputData(e);const s=(e.getPointData().getScalars()||e.getPointData().getArrays()[0]).getRange(),r=n.vtkns.ColorTransferFunction.newInstance();r.onModified(()=>this.model.mapper=n.vtkLutToMapper(r));const o=n.vtkns.PiecewiseFunction.newInstance(),a=.7*Math.sqrt(e.getSpacing().map(e=>e*e).reduce((e,t)=>e+t,0));i.setSampleDistance(a),t.getProperty().setRGBTransferFunction(0,r),t.getProperty().setScalarOpacity(0,o),t.getProperty().setInterpolationTypeToFastLinear(),t.getProperty().setScalarOpacityUnitDistance(0,n.vtkns.BoundingBox.getDiagonalLength(e.getBounds())/Math.max(...e.getDimensions())),t.getProperty().setGradientOpacityMinimumValue(0,0),t.getProperty().setGradientOpacityMaximumValue(0,.05*(s[1]-s[0])),t.getProperty().setShade(this.model.shadow),t.getProperty().setUseGradientOpacity(0,!0),t.getProperty().setGradientOpacityMinimumOpacity(0,0),t.getProperty().setGradientOpacityMaximumOpacity(0,1),t.getProperty().setAmbient(this.model.ambient),t.getProperty().setDiffuse(this.model.diffuse),t.getProperty().setSpecular(this.model.specular),t.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderer().addVolume(t),this._controllerWidget.setupContent(this._vtk_renwin.getRenderWindow(),t,!0)}_plot_slices(){const e=this._vtk_image_data,t=n.vtkns.ImageSlice.newInstance(),i=n.vtkns.ImageSlice.newInstance(),s=n.vtkns.ImageSlice.newInstance(),r=n.vtkns.ImageMapper.newInstance(),o=n.vtkns.ImageMapper.newInstance(),a=n.vtkns.ImageMapper.newInstance();r.setInputData(e),r.setISlice(this.model.slice_i),t.setMapper(r),o.setInputData(e),o.setJSlice(this.model.slice_j),i.setMapper(o),a.setInputData(e),a.setKSlice(this.model.slice_k),s.setMapper(a);const l=n.vtkns.PiecewiseFunction.newInstance();l.removeAllPoints(),l.addPoint(0,1);const c=this.volume.getProperty().getRGBTransferFunction(0),d=t.getProperty();i.setProperty(d),s.setProperty(d),d.setRGBTransferFunction(c),d.setScalarOpacity(l);const h=this._vtk_renwin.getRenderer();h.addActor(t),h.addActor(i),h.addActor(s)}_set_volume_visibility(e){this.volume.setVisibility(e)}_set_slices_visibility(e){this._vtk_renwin.getRenderer().getActors().map(t=>t.setVisibility(e))}}i.VTKVolumePlotView=o,o.__name__=\"VTKVolumePlotView\";class a extends r.AbstractVTKPlot{constructor(e){super(e)}static init_VTKVolumePlot(){this.prototype.default_view=o,this.define({data:[s.Instance],shadow:[s.Boolean,!0],sampling:[s.Number,.4],edge_gradient:[s.Number,.2],colormap:[s.String],rescale:[s.Boolean,!1],ambient:[s.Number,.2],diffuse:[s.Number,.7],specular:[s.Number,.3],specular_power:[s.Number,8],slice_i:[s.Int,0],slice_j:[s.Int,0],slice_k:[s.Int,0],display_volume:[s.Boolean,!0],display_slices:[s.Boolean,!1],render_background:[s.String,\"#52576e\"],interpolation:[s.Any,\"fast_linear\"],mapper:[s.Instance]})}}i.VTKVolumePlot=a,a.__name__=\"VTKVolumePlot\",a.init_VTKVolumePlot()},\n      \"e23461e5d7\": function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(\"tslib\"),n=t(\"2f3fd5db07\"),a=t(\"@bokehjs/model\"),c=e.__importStar(t(\"@bokehjs/core/properties\")),r=t(\"aaf560d219\");class h extends a.Model{constructor(t){super(t)}static init_VTKAxes(){this.define({origin:[c.Array],xticker:[c.Instance],yticker:[c.Instance],zticker:[c.Instance],digits:[c.Number,1],show_grid:[c.Boolean,!0],grid_opacity:[c.Number,.1],axes_opacity:[c.Number,1],fontsize:[c.Number,12]})}get xticks(){return this.xticker.ticks}get yticks(){return this.yticker.ticks}get zticks(){return this.zticker.ticks}get xlabels(){return this.xticker.labels?this.xticker.labels:this.xticks.map(t=>t.toFixed(this.digits))}get ylabels(){return this.yticker.labels?this.yticker.labels:this.yticks.map(t=>t.toFixed(this.digits))}get zlabels(){return this.zticker.labels?this.zticker.labels:this.zticks.map(t=>t.toFixed(this.digits))}_make_grid_lines(t,s,i){const e=[];for(let n=0;n<t-1;n++)for(let t=0;t<s-1;t++){const a=n*s+t+i,c=[5,a,n*s+t+1+i,(n+1)*s+t+1+i,(n+1)*s+t+i,a];e.push(c)}return e}_create_grid_axes(){const t=[];t.push(r.cartesian_product(this.xticks,this.yticks,[this.origin[2]])),t.push(r.cartesian_product([this.origin[0]],this.yticks,this.zticks)),t.push(r.cartesian_product(this.xticks,[this.origin[1]],this.zticks));const s=[];let i=0;s.push(this._make_grid_lines(this.xticks.length,this.yticks.length,i)),i+=this.xticks.length*this.yticks.length,s.push(this._make_grid_lines(this.yticks.length,this.zticks.length,i)),i+=this.yticks.length*this.zticks.length,s.push(this._make_grid_lines(this.xticks.length,this.zticks.length,i));const e=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:t.flat(2)},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:s.flat(2)}}),n=r.vtkns.Mapper.newInstance(),a=r.vtkns.Actor.newInstance();return n.setInputData(e),a.setMapper(n),a.getProperty().setOpacity(this.grid_opacity),a.setVisibility(this.show_grid),a}create_axes(t){const s=[this.xticks,this.yticks,this.zticks].map((t,s)=>{let i=null;switch(s){case 0:i=r.cartesian_product(t,[this.origin[1]],[this.origin[2]]);break;case 1:i=r.cartesian_product([this.origin[0]],t,[this.origin[2]]);break;case 2:i=r.cartesian_product([this.origin[0]],[this.origin[1]],t)}return i}).flat(2),i=r.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:s},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:[2,0,this.xticks.length-1,2,this.xticks.length,this.xticks.length+this.yticks.length-1,2,this.xticks.length+this.yticks.length,this.xticks.length+this.yticks.length+this.zticks.length-1]}}),e=r.vtkns.PixelSpaceCallbackMapper.newInstance();e.setInputData(i),e.setUseZValues(!0),e.setCallback((s,i,a)=>{const c=t.getContext(\"2d\");if(c){const r={height:t.clientHeight*window.devicePixelRatio,width:t.clientWidth*window.devicePixelRatio},h=e.getInputData().getPoints(),l=i.getViewMatrix();n.mat4.transpose(l,l);const o=i.getProjectionMatrix(a,-1,1);n.mat4.transpose(o,o),c.clearRect(0,0,r.width,r.height),s.forEach((t,s)=>{const i=h.getPoint(s),e=n.vec3.fromValues(i[0],i[1],i[2]);if(n.vec3.transformMat4(e,e,l),e[2]+=.05,n.vec3.transformMat4(e,e,o),e[2]-.001<t[3]){let i;c.font=\"30px serif\",c.textAlign=\"center\",c.textBaseline=\"alphabetic\",c.fillText(\".\",t[0],r.height-t[1]+2),c.font=this.fontsize*window.devicePixelRatio+\"px serif\",c.textAlign=\"right\",c.textBaseline=\"top\",i=s<this.xticks.length?this.xlabels[s]:s>=this.xticks.length&&s<this.xticks.length+this.yticks.length?this.ylabels[s-this.xticks.length]:this.zlabels[s-(this.xticks.length+this.yticks.length)],c.fillText(\"\"+i,t[0],r.height-t[1])}})}});const a=r.vtkns.Actor.newInstance();a.setMapper(e);const c=r.vtkns.Mapper.newInstance();c.setInputData(i);const h=r.vtkns.Actor.newInstance();return h.setMapper(c),h.getProperty().setOpacity(this.axes_opacity),{psActor:a,axesActor:h,gridActor:this._create_grid_axes()}}}i.VTKAxes=h,h.__name__=\"VTKAxes\",h.__module__=\"panel.models.vtk\",h.init_VTKAxes()},\n      \"2f3fd5db07\": function _(t,c,a){Object.defineProperty(a,\"__esModule\",{value:!0});const o=t(\"tslib\"),r=o.__importStar(t(\"68ca94c15c\"));a.glMatrix=r;const _=o.__importStar(t(\"7c0b8e6048\"));a.mat2=_;const e=o.__importStar(t(\"dc03f0a621\"));a.mat2d=e;const i=o.__importStar(t(\"0285c50a7e\"));a.mat3=i;const m=o.__importStar(t(\"a427635f32\"));a.mat4=m;const n=o.__importStar(t(\"eb06fc032a\"));a.quat=n;const s=o.__importStar(t(\"277615c682\"));a.quat2=s;const p=o.__importStar(t(\"c56d9ff837\"));a.vec2=p;const S=o.__importStar(t(\"2c5eb22089\"));a.vec3=S;const f=o.__importStar(t(\"c1aa33d719\"));a.vec4=f},\n      \"68ca94c15c\": function _(t,a,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.EPSILON=1e-6,r.ARRAY_TYPE=\"undefined\"!=typeof 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t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t},r.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t},r.fromValues=function(t,n,r,u){var e=new a.ARRAY_TYPE(4);return e[0]=t,e[1]=n,e[2]=r,e[3]=u,e},r.set=function(t,n,r,a,u){return t[0]=n,t[1]=r,t[2]=a,t[3]=u,t},r.transpose=function(t,n){if(t===n){var r=n[1];t[1]=n[2],t[2]=r}else t[0]=n[0],t[1]=n[2],t[2]=n[1],t[3]=n[3];return t},r.invert=function(t,n){var r=n[0],a=n[1],u=n[2],e=n[3],o=r*e-u*a;return o?(o=1/o,t[0]=e*o,t[1]=-a*o,t[2]=-u*o,t[3]=r*o,t):null},r.adjoint=function(t,n){var r=n[0];return t[0]=n[3],t[1]=-n[1],t[2]=-n[2],t[3]=r,t},r.determinant=function(t){return t[0]*t[3]-t[2]*t[1]},r.multiply=u,r.rotate=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=Math.sin(r),i=Math.cos(r);return t[0]=a*i+e*c,t[1]=u*i+o*c,t[2]=a*-c+e*i,t[3]=u*-c+o*i,t},r.scale=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1];return t[0]=a*c,t[1]=u*c,t[2]=e*i,t[3]=o*i,t},r.fromRotation=function(t,n){var r=Math.sin(n),a=Math.cos(n);return 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t[0]=f*r+b*e+l*s,t[1]=f*u+b*i+l*M,t[2]=f*o+b*c+l*h,t[3]=m*r+v*e+E*s,t[4]=m*u+v*i+E*M,t[5]=m*o+v*c+E*h,t[6]=P*r+S*e+d*s,t[7]=P*u+S*i+d*M,t[8]=P*o+S*c+d*h,t}function o(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t}n.create=function(){var t=new r.ARRAY_TYPE(9);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},n.fromMat4=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[4],t[4]=a[5],t[5]=a[6],t[6]=a[8],t[7]=a[9],t[8]=a[10],t},n.clone=function(t){var a=new r.ARRAY_TYPE(9);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromValues=function(t,a,n,u,o,e,i,c,s){var M=new r.ARRAY_TYPE(9);return M[0]=t,M[1]=a,M[2]=n,M[3]=u,M[4]=o,M[5]=e,M[6]=i,M[7]=c,M[8]=s,M},n.set=function(t,a,n,r,u,o,e,i,c,s){return t[0]=a,t[1]=n,t[2]=r,t[3]=u,t[4]=o,t[5]=e,t[6]=i,t[7]=c,t[8]=s,t},n.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],u=a[5];t[1]=a[3],t[2]=a[6],t[3]=n,t[5]=a[7],t[6]=r,t[7]=u}else t[0]=a[0],t[1]=a[3],t[2]=a[6],t[3]=a[1],t[4]=a[4],t[5]=a[7],t[6]=a[2],t[7]=a[5],t[8]=a[8];return t},n.invert=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=M*e-i*s,f=-M*o+i*c,b=s*o-e*c,l=n*h+r*f+u*b;return l?(l=1/l,t[0]=h*l,t[1]=(-M*r+u*s)*l,t[2]=(i*r-u*e)*l,t[3]=f*l,t[4]=(M*n-u*c)*l,t[5]=(-i*n+u*o)*l,t[6]=b*l,t[7]=(-s*n+r*c)*l,t[8]=(e*n-r*o)*l,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8];return t[0]=e*M-i*s,t[1]=u*s-r*M,t[2]=r*i-u*e,t[3]=i*c-o*M,t[4]=n*M-u*c,t[5]=u*o-n*i,t[6]=o*s-e*c,t[7]=r*c-n*s,t[8]=n*e-r*o,t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],u=t[3],o=t[4],e=t[5],i=t[6],c=t[7],s=t[8];return a*(s*o-e*c)+n*(-s*u+e*i)+r*(c*u-o*i)},n.multiply=u,n.translate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1];return t[0]=r,t[1]=u,t[2]=o,t[3]=e,t[4]=i,t[5]=c,t[6]=f*r+b*e+s,t[7]=f*u+b*i+M,t[8]=f*o+b*c+h,t},n.rotate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=Math.sin(n),b=Math.cos(n);return t[0]=b*r+f*e,t[1]=b*u+f*i,t[2]=b*o+f*c,t[3]=b*e-f*r,t[4]=b*i-f*u,t[5]=b*c-f*o,t[6]=s,t[7]=M,t[8]=h,t},n.scale=function(t,a,n){var r=n[0],u=n[1];return t[0]=r*a[0],t[1]=r*a[1],t[2]=r*a[2],t[3]=u*a[3],t[4]=u*a[4],t[5]=u*a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=a[0],t[7]=a[1],t[8]=1,t},n.fromRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=-n,t[4]=r,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=a[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromMat2d=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=0,t[3]=a[2],t[4]=a[3],t[5]=0,t[6]=a[4],t[7]=a[5],t[8]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=n+n,i=r+r,c=u+u,s=n*e,M=r*e,h=r*i,f=u*e,b=u*i,l=u*c,m=o*e,v=o*i,E=o*c;return t[0]=1-h-l,t[3]=M-E,t[6]=f+v,t[1]=M+E,t[4]=1-s-l,t[7]=b-m,t[2]=f-v,t[5]=b+m,t[8]=1-s-h,t},n.normalFromMat4=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],E=a[15],P=n*i-r*e,S=n*c-u*e,d=n*s-o*e,A=r*c-u*i,x=r*s-o*i,O=u*s-o*c,p=M*m-h*l,I=M*v-f*l,L=M*E-b*l,N=h*v-f*m,R=h*E-b*m,_=f*E-b*v,y=P*_-S*R+d*N+A*L-x*I+O*p;return y?(y=1/y,t[0]=(i*_-c*R+s*N)*y,t[1]=(c*L-e*_-s*I)*y,t[2]=(e*R-i*L+s*p)*y,t[3]=(u*R-r*_-o*N)*y,t[4]=(n*_-u*L+o*I)*y,t[5]=(r*L-n*R-o*p)*y,t[6]=(m*O-v*x+E*A)*y,t[7]=(v*d-l*O-E*S)*y,t[8]=(l*x-m*d+E*P)*y,t):null},n.projection=function(t,a,n){return t[0]=2/a,t[1]=0,t[2]=0,t[3]=0,t[4]=-2/n,t[5]=0,t[6]=-1,t[7]=1,t[8]=1,t},n.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t},n.subtract=o,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]},n.equals=function(t,a){var n=t[0],u=t[1],o=t[2],e=t[3],i=t[4],c=t[5],s=t[6],M=t[7],h=t[8],f=a[0],b=a[1],l=a[2],m=a[3],v=a[4],E=a[5],P=a[6],S=a[7],d=a[8];return Math.abs(n-f)<=r.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(u-b)<=r.EPSILON*Math.max(1,Math.abs(u),Math.abs(b))&&Math.abs(o-l)<=r.EPSILON*Math.max(1,Math.abs(o),Math.abs(l))&&Math.abs(e-m)<=r.EPSILON*Math.max(1,Math.abs(e),Math.abs(m))&&Math.abs(i-v)<=r.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(c-E)<=r.EPSILON*Math.max(1,Math.abs(c),Math.abs(E))&&Math.abs(s-P)<=r.EPSILON*Math.max(1,Math.abs(s),Math.abs(P))&&Math.abs(M-S)<=r.EPSILON*Math.max(1,Math.abs(M),Math.abs(S))&&Math.abs(h-d)<=r.EPSILON*Math.max(1,Math.abs(h),Math.abs(d))},n.mul=u,n.sub=o},\n      \"a427635f32\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function h(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function o(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],v=a[12],m=a[13],P=a[14],E=a[15],S=n[0],I=n[1],O=n[2],p=n[3];return t[0]=S*r+I*M+O*c+p*v,t[1]=S*h+I*e+O*f+p*m,t[2]=S*o+I*s+O*b+p*P,t[3]=S*u+I*i+O*l+p*E,S=n[4],I=n[5],O=n[6],p=n[7],t[4]=S*r+I*M+O*c+p*v,t[5]=S*h+I*e+O*f+p*m,t[6]=S*o+I*s+O*b+p*P,t[7]=S*u+I*i+O*l+p*E,S=n[8],I=n[9],O=n[10],p=n[11],t[8]=S*r+I*M+O*c+p*v,t[9]=S*h+I*e+O*f+p*m,t[10]=S*o+I*s+O*b+p*P,t[11]=S*u+I*i+O*l+p*E,S=n[12],I=n[13],O=n[14],p=n[15],t[12]=S*r+I*M+O*c+p*v,t[13]=S*h+I*e+O*f+p*m,t[14]=S*o+I*s+O*b+p*P,t[15]=S*u+I*i+O*l+p*E,t}function u(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=r+r,e=h+h,s=o+o,i=r*M,c=r*e,f=r*s,b=h*e,l=h*s,v=o*s,m=u*M,P=u*e,E=u*s;return t[0]=1-(b+v),t[1]=c+E,t[2]=f-P,t[3]=0,t[4]=c-E,t[5]=1-(i+v),t[6]=l+m,t[7]=0,t[8]=f+P,t[9]=l-m,t[10]=1-(i+b),t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t}function M(t,a){var n=a[0],r=a[1],h=a[2],o=a[4],u=a[5],M=a[6],e=a[8],s=a[9],i=a[10];return t[0]=Math.hypot(n,r,h),t[1]=Math.hypot(o,u,M),t[2]=Math.hypot(e,s,i),t}function e(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t[9]=a[9]-n[9],t[10]=a[10]-n[10],t[11]=a[11]-n[11],t[12]=a[12]-n[12],t[13]=a[13]-n[13],t[14]=a[14]-n[14],t[15]=a[15]-n[15],t}n.create=function(){var t=new r.ARRAY_TYPE(16);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},n.clone=function(t){var a=new r.ARRAY_TYPE(16);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a[9]=t[9],a[10]=t[10],a[11]=t[11],a[12]=t[12],a[13]=t[13],a[14]=t[14],a[15]=t[15],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.fromValues=function(t,a,n,h,o,u,M,e,s,i,c,f,b,l,v,m){var P=new r.ARRAY_TYPE(16);return P[0]=t,P[1]=a,P[2]=n,P[3]=h,P[4]=o,P[5]=u,P[6]=M,P[7]=e,P[8]=s,P[9]=i,P[10]=c,P[11]=f,P[12]=b,P[13]=l,P[14]=v,P[15]=m,P},n.set=function(t,a,n,r,h,o,u,M,e,s,i,c,f,b,l,v,m){return t[0]=a,t[1]=n,t[2]=r,t[3]=h,t[4]=o,t[5]=u,t[6]=M,t[7]=e,t[8]=s,t[9]=i,t[10]=c,t[11]=f,t[12]=b,t[13]=l,t[14]=v,t[15]=m,t},n.identity=h,n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],h=a[3],o=a[6],u=a[7],M=a[11];t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=n,t[6]=a[9],t[7]=a[13],t[8]=r,t[9]=o,t[11]=a[14],t[12]=h,t[13]=u,t[14]=M}else t[0]=a[0],t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=a[1],t[5]=a[5],t[6]=a[9],t[7]=a[13],t[8]=a[2],t[9]=a[6],t[10]=a[10],t[11]=a[14],t[12]=a[3],t[13]=a[7],t[14]=a[11],t[15]=a[15];return t},n.invert=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15],E=n*M-r*u,S=n*e-h*u,I=n*s-o*u,O=r*e-h*M,p=r*s-o*M,L=h*s-o*e,N=i*v-c*l,R=i*m-f*l,x=i*P-b*l,y=c*m-f*v,A=c*P-b*v,Y=f*P-b*m,d=E*Y-S*A+I*y+O*x-p*R+L*N;return d?(d=1/d,t[0]=(M*Y-e*A+s*y)*d,t[1]=(h*A-r*Y-o*y)*d,t[2]=(v*L-m*p+P*O)*d,t[3]=(f*p-c*L-b*O)*d,t[4]=(e*x-u*Y-s*R)*d,t[5]=(n*Y-h*x+o*R)*d,t[6]=(m*I-l*L-P*S)*d,t[7]=(i*L-f*I+b*S)*d,t[8]=(u*A-M*x+s*N)*d,t[9]=(r*x-n*A-o*N)*d,t[10]=(l*p-v*I+P*E)*d,t[11]=(c*I-i*p-b*E)*d,t[12]=(M*R-u*y-e*N)*d,t[13]=(n*y-r*R+h*N)*d,t[14]=(v*S-l*O-m*E)*d,t[15]=(i*O-c*S+f*E)*d,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15];return t[0]=M*(f*P-b*m)-c*(e*P-s*m)+v*(e*b-s*f),t[1]=-(r*(f*P-b*m)-c*(h*P-o*m)+v*(h*b-o*f)),t[2]=r*(e*P-s*m)-M*(h*P-o*m)+v*(h*s-o*e),t[3]=-(r*(e*b-s*f)-M*(h*b-o*f)+c*(h*s-o*e)),t[4]=-(u*(f*P-b*m)-i*(e*P-s*m)+l*(e*b-s*f)),t[5]=n*(f*P-b*m)-i*(h*P-o*m)+l*(h*b-o*f),t[6]=-(n*(e*P-s*m)-u*(h*P-o*m)+l*(h*s-o*e)),t[7]=n*(e*b-s*f)-u*(h*b-o*f)+i*(h*s-o*e),t[8]=u*(c*P-b*v)-i*(M*P-s*v)+l*(M*b-s*c),t[9]=-(n*(c*P-b*v)-i*(r*P-o*v)+l*(r*b-o*c)),t[10]=n*(M*P-s*v)-u*(r*P-o*v)+l*(r*s-o*M),t[11]=-(n*(M*b-s*c)-u*(r*b-o*c)+i*(r*s-o*M)),t[12]=-(u*(c*m-f*v)-i*(M*m-e*v)+l*(M*f-e*c)),t[13]=n*(c*m-f*v)-i*(r*m-h*v)+l*(r*f-h*c),t[14]=-(n*(M*m-e*v)-u*(r*m-h*v)+l*(r*e-h*M)),t[15]=n*(M*f-e*c)-u*(r*f-h*c)+i*(r*e-h*M),t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],h=t[3],o=t[4],u=t[5],M=t[6],e=t[7],s=t[8],i=t[9],c=t[10],f=t[11],b=t[12],l=t[13],v=t[14],m=t[15];return(a*u-n*o)*(c*m-f*v)-(a*M-r*o)*(i*m-f*l)+(a*e-h*o)*(i*v-c*l)+(n*M-r*u)*(s*m-f*b)-(n*e-h*u)*(s*v-c*b)+(r*e-h*M)*(s*l-i*b)},n.multiply=o,n.translate=function(t,a,n){var r,h,o,u,M,e,s,i,c,f,b,l,v=n[0],m=n[1],P=n[2];return a===t?(t[12]=a[0]*v+a[4]*m+a[8]*P+a[12],t[13]=a[1]*v+a[5]*m+a[9]*P+a[13],t[14]=a[2]*v+a[6]*m+a[10]*P+a[14],t[15]=a[3]*v+a[7]*m+a[11]*P+a[15]):(r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],t[0]=r,t[1]=h,t[2]=o,t[3]=u,t[4]=M,t[5]=e,t[6]=s,t[7]=i,t[8]=c,t[9]=f,t[10]=b,t[11]=l,t[12]=r*v+M*m+c*P+a[12],t[13]=h*v+e*m+f*P+a[13],t[14]=o*v+s*m+b*P+a[14],t[15]=u*v+i*m+l*P+a[15]),t},n.scale=function(t,a,n){var r=n[0],h=n[1],o=n[2];return t[0]=a[0]*r,t[1]=a[1]*r,t[2]=a[2]*r,t[3]=a[3]*r,t[4]=a[4]*h,t[5]=a[5]*h,t[6]=a[6]*h,t[7]=a[7]*h,t[8]=a[8]*o,t[9]=a[9]*o,t[10]=a[10]*o,t[11]=a[11]*o,t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.rotate=function(t,a,n,h){var o,u,M,e,s,i,c,f,b,l,v,m,P,E,S,I,O,p,L,N,R,x,y,A,Y=h[0],d=h[1],g=h[2],T=Math.hypot(Y,d,g);return T<r.EPSILON?null:(Y*=T=1/T,d*=T,g*=T,o=Math.sin(n),M=1-(u=Math.cos(n)),e=a[0],s=a[1],i=a[2],c=a[3],f=a[4],b=a[5],l=a[6],v=a[7],m=a[8],P=a[9],E=a[10],S=a[11],I=Y*Y*M+u,O=d*Y*M+g*o,p=g*Y*M-d*o,L=Y*d*M-g*o,N=d*d*M+u,R=g*d*M+Y*o,x=Y*g*M+d*o,y=d*g*M-Y*o,A=g*g*M+u,t[0]=e*I+f*O+m*p,t[1]=s*I+b*O+P*p,t[2]=i*I+l*O+E*p,t[3]=c*I+v*O+S*p,t[4]=e*L+f*N+m*R,t[5]=s*L+b*N+P*R,t[6]=i*L+l*N+E*R,t[7]=c*L+v*N+S*R,t[8]=e*x+f*y+m*A,t[9]=s*x+b*y+P*A,t[10]=i*x+l*y+E*A,t[11]=c*x+v*y+S*A,a!==t&&(t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t)},n.rotateX=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[4],u=a[5],M=a[6],e=a[7],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[4]=o*h+s*r,t[5]=u*h+i*r,t[6]=M*h+c*r,t[7]=e*h+f*r,t[8]=s*h-o*r,t[9]=i*h-u*r,t[10]=c*h-M*r,t[11]=f*h-e*r,t},n.rotateY=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h-s*r,t[1]=u*h-i*r,t[2]=M*h-c*r,t[3]=e*h-f*r,t[8]=o*r+s*h,t[9]=u*r+i*h,t[10]=M*r+c*h,t[11]=e*r+f*h,t},n.rotateZ=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7];return a!==t&&(t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h+s*r,t[1]=u*h+i*r,t[2]=M*h+c*r,t[3]=e*h+f*r,t[4]=s*h-o*r,t[5]=i*h-u*r,t[6]=c*h-M*r,t[7]=f*h-e*r,t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=a[0],t[13]=a[1],t[14]=a[2],t[15]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=a[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotation=function(t,a,n){var h,o,u,M=n[0],e=n[1],s=n[2],i=Math.hypot(M,e,s);return i<r.EPSILON?null:(M*=i=1/i,e*=i,s*=i,h=Math.sin(a),u=1-(o=Math.cos(a)),t[0]=M*M*u+o,t[1]=e*M*u+s*h,t[2]=s*M*u-e*h,t[3]=0,t[4]=M*e*u-s*h,t[5]=e*e*u+o,t[6]=s*e*u+M*h,t[7]=0,t[8]=M*s*u+e*h,t[9]=e*s*u-M*h,t[10]=s*s*u+o,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},n.fromXRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=r,t[6]=n,t[7]=0,t[8]=0,t[9]=-n,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromYRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=0,t[2]=-n,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=n,t[9]=0,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromZRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=0,t[4]=-n,t[5]=r,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotationTranslation=u,n.fromQuat2=function(t,a){var n=new r.ARRAY_TYPE(3),h=-a[0],o=-a[1],M=-a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7],b=h*h+o*o+M*M+e*e;return b>0?(n[0]=2*(s*e+f*h+i*M-c*o)/b,n[1]=2*(i*e+f*o+c*h-s*M)/b,n[2]=2*(c*e+f*M+s*o-i*h)/b):(n[0]=2*(s*e+f*h+i*M-c*o),n[1]=2*(i*e+f*o+c*h-s*M),n[2]=2*(c*e+f*M+s*o-i*h)),u(t,a,n),t},n.getTranslation=function(t,a){return t[0]=a[12],t[1]=a[13],t[2]=a[14],t},n.getScaling=M,n.getRotation=function(t,a){var n=new r.ARRAY_TYPE(3);M(n,a);var h=1/n[0],o=1/n[1],u=1/n[2],e=a[0]*h,s=a[1]*o,i=a[2]*u,c=a[4]*h,f=a[5]*o,b=a[6]*u,l=a[8]*h,v=a[9]*o,m=a[10]*u,P=e+f+m,E=0;return P>0?(E=2*Math.sqrt(P+1),t[3]=.25*E,t[0]=(b-v)/E,t[1]=(l-i)/E,t[2]=(s-c)/E):e>f&&e>m?(E=2*Math.sqrt(1+e-f-m),t[3]=(b-v)/E,t[0]=.25*E,t[1]=(s+c)/E,t[2]=(l+i)/E):f>m?(E=2*Math.sqrt(1+f-e-m),t[3]=(l-i)/E,t[0]=(s+c)/E,t[1]=.25*E,t[2]=(b+v)/E):(E=2*Math.sqrt(1+m-e-f),t[3]=(s-c)/E,t[0]=(l+i)/E,t[1]=(b+v)/E,t[2]=.25*E),t},n.fromRotationTranslationScale=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=a[3],e=h+h,s=o+o,i=u+u,c=h*e,f=h*s,b=h*i,l=o*s,v=o*i,m=u*i,P=M*e,E=M*s,S=M*i,I=r[0],O=r[1],p=r[2];return t[0]=(1-(l+m))*I,t[1]=(f+S)*I,t[2]=(b-E)*I,t[3]=0,t[4]=(f-S)*O,t[5]=(1-(c+m))*O,t[6]=(v+P)*O,t[7]=0,t[8]=(b+E)*p,t[9]=(v-P)*p,t[10]=(1-(c+l))*p,t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t},n.fromRotationTranslationScaleOrigin=function(t,a,n,r,h){var o=a[0],u=a[1],M=a[2],e=a[3],s=o+o,i=u+u,c=M+M,f=o*s,b=o*i,l=o*c,v=u*i,m=u*c,P=M*c,E=e*s,S=e*i,I=e*c,O=r[0],p=r[1],L=r[2],N=h[0],R=h[1],x=h[2],y=(1-(v+P))*O,A=(b+I)*O,Y=(l-S)*O,d=(b-I)*p,g=(1-(f+P))*p,T=(m+E)*p,_=(l+S)*L,q=(m-E)*L,w=(1-(f+v))*L;return t[0]=y,t[1]=A,t[2]=Y,t[3]=0,t[4]=d,t[5]=g,t[6]=T,t[7]=0,t[8]=_,t[9]=q,t[10]=w,t[11]=0,t[12]=n[0]+N-(y*N+d*R+_*x),t[13]=n[1]+R-(A*N+g*R+q*x),t[14]=n[2]+x-(Y*N+T*R+w*x),t[15]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=n+n,M=r+r,e=h+h,s=n*u,i=r*u,c=r*M,f=h*u,b=h*M,l=h*e,v=o*u,m=o*M,P=o*e;return t[0]=1-c-l,t[1]=i+P,t[2]=f-m,t[3]=0,t[4]=i-P,t[5]=1-s-l,t[6]=b+v,t[7]=0,t[8]=f+m,t[9]=b-v,t[10]=1-s-c,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.frustum=function(t,a,n,r,h,o,u){var M=1/(n-a),e=1/(h-r),s=1/(o-u);return t[0]=2*o*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*o*e,t[6]=0,t[7]=0,t[8]=(n+a)*M,t[9]=(h+r)*e,t[10]=(u+o)*s,t[11]=-1,t[12]=0,t[13]=0,t[14]=u*o*2*s,t[15]=0,t},n.perspective=function(t,a,n,r,h){var o,u=1/Math.tan(a/2);return t[0]=u/n,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=h&&h!==1/0?(o=1/(r-h),t[10]=(h+r)*o,t[14]=2*h*r*o):(t[10]=-1,t[14]=-2*r),t},n.perspectiveFromFieldOfView=function(t,a,n,r){var h=Math.tan(a.upDegrees*Math.PI/180),o=Math.tan(a.downDegrees*Math.PI/180),u=Math.tan(a.leftDegrees*Math.PI/180),M=Math.tan(a.rightDegrees*Math.PI/180),e=2/(u+M),s=2/(h+o);return t[0]=e,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=s,t[6]=0,t[7]=0,t[8]=-(u-M)*e*.5,t[9]=(h-o)*s*.5,t[10]=r/(n-r),t[11]=-1,t[12]=0,t[13]=0,t[14]=r*n/(n-r),t[15]=0,t},n.ortho=function(t,a,n,r,h,o,u){var M=1/(a-n),e=1/(r-h),s=1/(o-u);return t[0]=-2*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*e,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*s,t[11]=0,t[12]=(a+n)*M,t[13]=(h+r)*e,t[14]=(u+o)*s,t[15]=1,t},n.lookAt=function(t,a,n,o){var u,M,e,s,i,c,f,b,l,v,m=a[0],P=a[1],E=a[2],S=o[0],I=o[1],O=o[2],p=n[0],L=n[1],N=n[2];return Math.abs(m-p)<r.EPSILON&&Math.abs(P-L)<r.EPSILON&&Math.abs(E-N)<r.EPSILON?h(t):(f=m-p,b=P-L,l=E-N,u=I*(l*=v=1/Math.hypot(f,b,l))-O*(b*=v),M=O*(f*=v)-S*l,e=S*b-I*f,(v=Math.hypot(u,M,e))?(u*=v=1/v,M*=v,e*=v):(u=0,M=0,e=0),s=b*e-l*M,i=l*u-f*e,c=f*M-b*u,(v=Math.hypot(s,i,c))?(s*=v=1/v,i*=v,c*=v):(s=0,i=0,c=0),t[0]=u,t[1]=s,t[2]=f,t[3]=0,t[4]=M,t[5]=i,t[6]=b,t[7]=0,t[8]=e,t[9]=c,t[10]=l,t[11]=0,t[12]=-(u*m+M*P+e*E),t[13]=-(s*m+i*P+c*E),t[14]=-(f*m+b*P+l*E),t[15]=1,t)},n.targetTo=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=r[0],e=r[1],s=r[2],i=h-n[0],c=o-n[1],f=u-n[2],b=i*i+c*c+f*f;b>0&&(i*=b=1/Math.sqrt(b),c*=b,f*=b);var l=e*f-s*c,v=s*i-M*f,m=M*c-e*i;return(b=l*l+v*v+m*m)>0&&(l*=b=1/Math.sqrt(b),v*=b,m*=b),t[0]=l,t[1]=v,t[2]=m,t[3]=0,t[4]=c*m-f*v,t[5]=f*l-i*m,t[6]=i*v-c*l,t[7]=0,t[8]=i,t[9]=c,t[10]=f,t[11]=0,t[12]=h,t[13]=o,t[14]=u,t[15]=1,t},n.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", 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+       "        var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
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+       "        var comm = {\n",
+       "          send: sendClosure\n",
+       "        };\n",
+       "      }\n",
+       "      window.PyViz.comms[comm_id] = comm;\n",
+       "      return comm;\n",
+       "    }\n",
+       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
+       "    \n",
+       "\n",
+       "\n",
+       "var JS_MIME_TYPE = 'application/javascript';\n",
+       "var HTML_MIME_TYPE = 'text/html';\n",
+       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
+       "var CLASS_NAME = 'output';\n",
+       "\n",
+       "/**\n",
+       " * Render data to the DOM node\n",
+       " */\n",
+       "function render(props, node) {\n",
+       "  var div = document.createElement(\"div\");\n",
+       "  var script = document.createElement(\"script\");\n",
+       "  node.appendChild(div);\n",
+       "  node.appendChild(script);\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle when a new output is added\n",
+       " */\n",
+       "function handle_add_output(event, handle) {\n",
+       "  var output_area = handle.output_area;\n",
+       "  var output = handle.output;\n",
+       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+       "    return\n",
+       "  }\n",
+       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
+       "  if (id !== undefined) {\n",
+       "    var nchildren = toinsert.length;\n",
+       "    var html_node = toinsert[nchildren-1].children[0];\n",
+       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "    var scripts = [];\n",
+       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
+       "    for (var i in nodelist) {\n",
+       "      if (nodelist.hasOwnProperty(i)) {\n",
+       "        scripts.push(nodelist[i])\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    scripts.forEach( function (oldScript) {\n",
+       "      var newScript = document.createElement(\"script\");\n",
+       "      var attrs = [];\n",
+       "      var nodemap = oldScript.attributes;\n",
+       "      for (var j in nodemap) {\n",
+       "        if (nodemap.hasOwnProperty(j)) {\n",
+       "          attrs.push(nodemap[j])\n",
+       "        }\n",
+       "      }\n",
+       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
+       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
+       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
+       "    });\n",
+       "    if (JS_MIME_TYPE in output.data) {\n",
+       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
+       "    }\n",
+       "    output_area._hv_plot_id = id;\n",
+       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
+       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
+       "    } else {\n",
+       "      window.PyViz.plot_index[id] = null;\n",
+       "    }\n",
+       "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
+       "    var bk_div = document.createElement(\"div\");\n",
+       "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "    var script_attrs = bk_div.children[0].attributes;\n",
+       "    for (var i = 0; i < script_attrs.length; i++) {\n",
+       "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
+       "    }\n",
+       "    // store reference to server id on output_area\n",
+       "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle when an output is cleared or removed\n",
+       " */\n",
+       "function handle_clear_output(event, handle) {\n",
+       "  var id = handle.cell.output_area._hv_plot_id;\n",
+       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
+       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
+       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
+       "  if (server_id !== null) {\n",
+       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
+       "    return;\n",
+       "  } else if (comm !== null) {\n",
+       "    comm.send({event_type: 'delete', 'id': id});\n",
+       "  }\n",
+       "  delete PyViz.plot_index[id];\n",
+       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
+       "    var doc = window.Bokeh.index[id].model.document\n",
+       "    doc.clear();\n",
+       "    const i = window.Bokeh.documents.indexOf(doc);\n",
+       "    if (i > -1) {\n",
+       "      window.Bokeh.documents.splice(i, 1);\n",
+       "    }\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle kernel restart event\n",
+       " */\n",
+       "function handle_kernel_cleanup(event, handle) {\n",
+       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
+       "  window.PyViz.plot_index = {}\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle update_display_data messages\n",
+       " */\n",
+       "function handle_update_output(event, handle) {\n",
+       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
+       "  handle_add_output(event, handle)\n",
+       "}\n",
+       "\n",
+       "function register_renderer(events, OutputArea) {\n",
+       "  function append_mime(data, metadata, element) {\n",
+       "    // create a DOM node to render to\n",
+       "    var toinsert = this.create_output_subarea(\n",
+       "    metadata,\n",
+       "    CLASS_NAME,\n",
+       "    EXEC_MIME_TYPE\n",
+       "    );\n",
+       "    this.keyboard_manager.register_events(toinsert);\n",
+       "    // Render to node\n",
+       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
+       "    render(props, toinsert[0]);\n",
+       "    element.append(toinsert);\n",
+       "    return toinsert\n",
+       "  }\n",
+       "\n",
+       "  events.on('output_added.OutputArea', handle_add_output);\n",
+       "  events.on('output_updated.OutputArea', handle_update_output);\n",
+       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
+       "  events.on('delete.Cell', handle_clear_output);\n",
+       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
+       "\n",
+       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
+       "    safe: true,\n",
+       "    index: 0\n",
+       "  });\n",
+       "}\n",
+       "\n",
+       "if (window.Jupyter !== undefined) {\n",
+       "  try {\n",
+       "    var events = require('base/js/events');\n",
+       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
+       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
+       "      register_renderer(events, OutputArea);\n",
+       "    }\n",
+       "  } catch(err) {\n",
+       "  }\n",
+       "}\n"
+      ],
+      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# imports\n",
+    "import panel as pn\n",
+    "pn.extension('plotly')\n",
+    "import plotly.express as px\n",
+    "import pandas as pd\n",
+    "import hvplot.pandas\n",
+    "import matplotlib.pyplot as plt\n",
+    "import os\n",
+    "from pathlib import Path\n",
+    "from dotenv import load_dotenv"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Initialize the Panel Extensions (for Plotly)\n",
+    "pn.extension('plotly')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Read the Mapbox API key\n",
+    "load_dotenv()\n",
+    "mapbox_token = os.getenv(\"MAPBOX\")\n",
+    "\n",
+    "# Set the Mapbox API\n",
+    "px.set_mapbox_access_token(mapbox_token)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.07</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>130.626297</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.38</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>102.49</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>158.38</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.28</td>\n",
+       "      <td>103.37</td>\n",
+       "      <td>100.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.85</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>130.896194</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>...</td>\n",
+       "      <td>91.67</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>102.48</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>158.95</td>\n",
+       "      <td>104.10</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>104.62</td>\n",
+       "      <td>101.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.12</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>130.077530</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.17</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>102.77</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>158.65</td>\n",
+       "      <td>103.59</td>\n",
+       "      <td>107.84</td>\n",
+       "      <td>105.47</td>\n",
+       "      <td>100.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.02</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>130.923172</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>...</td>\n",
+       "      <td>93.13</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>102.04</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>157.75</td>\n",
+       "      <td>103.40</td>\n",
+       "      <td>107.35</td>\n",
+       "      <td>105.49</td>\n",
+       "      <td>99.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.90</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>130.608292</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92.77</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>101.96</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>157.63</td>\n",
+       "      <td>103.49</td>\n",
+       "      <td>107.10</td>\n",
+       "      <td>106.46</td>\n",
+       "      <td>98.88</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  SP500       ORCL     SQ       NVDA       BABA        PFE  \\\n",
+       "2015-11-19  2081.239990  36.108597  13.07  30.458263  77.870003  27.049994   \n",
+       "2015-11-20  2089.169922  36.404728  12.85  30.722525  79.949997  26.957846   \n",
+       "2015-11-23  2086.590088  36.219639  12.12  30.262524  81.309998  26.245783   \n",
+       "2015-11-24  2089.139893  36.515770  12.02  30.507206  80.860001  26.781923   \n",
+       "2015-11-25  2088.870117  36.330700  11.90  30.468054  81.709999  27.535873   \n",
+       "\n",
+       "                  NFLX        CRM          GD     AMT  ...    PSX     BLK  \\\n",
+       "2015-11-19  120.220001  80.639999  130.626297   99.63  ...  92.38  359.09   \n",
+       "2015-11-20  123.839996  80.989998  130.896194  100.49  ...  91.67  362.46   \n",
+       "2015-11-23  125.029999  80.779999  130.077530   99.94  ...  92.17  363.25   \n",
+       "2015-11-24  123.309998  80.389999  130.923172   99.26  ...  93.13  356.81   \n",
+       "2015-11-25  124.160004  80.410004  130.608292   99.09  ...  92.77  360.62   \n",
+       "\n",
+       "             TROW     JNJ     UNH     MMM     UPS     ACN     PPG     NEE  \n",
+       "2015-11-19  76.38  102.49  110.63  158.38  104.10  107.28  103.37  100.99  \n",
+       "2015-11-20  76.37  102.48  112.97  158.95  104.10  107.97  104.62  101.02  \n",
+       "2015-11-23  76.15  102.77  112.16  158.65  103.59  107.84  105.47  100.49  \n",
+       "2015-11-24  75.62  102.04  113.19  157.75  103.40  107.35  105.49   99.41  \n",
+       "2015-11-25  76.01  101.96  114.41  157.63  103.49  107.10  106.46   98.88  \n",
+       "\n",
+       "[5 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    " # Set the file paths for the CSVs using the Path class from the pathlib library\n",
+    "Combined_portfolio =  Path(\"../CSVs/combined_close_data_SP500_group_portfolio.csv\")\n",
+    "\n",
+    "\n",
+    "# Read the daily closing prices of MSFT, set the `date` as a datetime index\n",
+    "combined_portfolio_df = pd.read_csv(Combined_portfolio, index_col=0, parse_dates=True, infer_datetime_format=True)\n",
+    "\n",
+    "combined_portfolio_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>GD</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>PSX</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>JNJ</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>MMM</th>\n",
+       "      <th>UPS</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>PPG</th>\n",
+       "      <th>NEE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.002066</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.007686</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>-0.000098</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.003599</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.006432</td>\n",
+       "      <td>0.012092</td>\n",
+       "      <td>0.000297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.006254</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.005454</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>0.002830</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>-0.001887</td>\n",
+       "      <td>-0.004899</td>\n",
+       "      <td>-0.001204</td>\n",
+       "      <td>0.008125</td>\n",
+       "      <td>-0.005246</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>0.006501</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.010416</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>-0.007103</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>-0.005673</td>\n",
+       "      <td>-0.001834</td>\n",
+       "      <td>-0.004544</td>\n",
+       "      <td>0.000190</td>\n",
+       "      <td>-0.010747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.002405</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.003866</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>-0.000784</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>-0.000761</td>\n",
+       "      <td>0.000870</td>\n",
+       "      <td>-0.002329</td>\n",
+       "      <td>0.009195</td>\n",
+       "      <td>-0.005331</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.002617</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.000108</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>0.004021</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>0.002284</td>\n",
+       "      <td>0.006667</td>\n",
+       "      <td>0.003361</td>\n",
+       "      <td>-0.002348</td>\n",
+       "      <td>0.004956</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500      ORCL        SQ      NVDA      BABA       PFE  \\\n",
+       "2015-11-20  0.003810  0.008201 -0.016832  0.008676  0.026711 -0.003407   \n",
+       "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973  0.017011 -0.026414   \n",
+       "2015-11-24  0.001222  0.008176 -0.008251  0.008085 -0.005534  0.020428   \n",
+       "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283  0.010512  0.028151   \n",
+       "2015-11-27  0.000594 -0.002038  0.012605  0.008352 -0.004039 -0.002434   \n",
+       "\n",
+       "                NFLX       CRM        GD       AMT  ...       PSX       BLK  \\\n",
+       "2015-11-20  0.030111  0.004340  0.002066  0.008632  ... -0.007686  0.009385   \n",
+       "2015-11-23  0.009609 -0.002593 -0.006254 -0.005473  ...  0.005454  0.002180   \n",
+       "2015-11-24 -0.013757 -0.004828  0.006501 -0.006804  ...  0.010416 -0.017729   \n",
+       "2015-11-25  0.006893  0.000249 -0.002405 -0.001713  ... -0.003866  0.010678   \n",
+       "2015-11-27  0.010309 -0.005472  0.002617  0.005954  ... -0.000108 -0.006184   \n",
+       "\n",
+       "                TROW       JNJ       UNH       MMM       UPS       ACN  \\\n",
+       "2015-11-20 -0.000131 -0.000098  0.021152  0.003599  0.000000  0.006432   \n",
+       "2015-11-23 -0.002881  0.002830 -0.007170 -0.001887 -0.004899 -0.001204   \n",
+       "2015-11-24 -0.006960 -0.007103  0.009183 -0.005673 -0.001834 -0.004544   \n",
+       "2015-11-25  0.005157 -0.000784  0.010778 -0.000761  0.000870 -0.002329   \n",
+       "2015-11-27 -0.000789  0.004021 -0.000612  0.002284  0.006667  0.003361   \n",
+       "\n",
+       "                 PPG       NEE  \n",
+       "2015-11-20  0.012092  0.000297  \n",
+       "2015-11-23  0.008125 -0.005246  \n",
+       "2015-11-24  0.000190 -0.010747  \n",
+       "2015-11-25  0.009195 -0.005331  \n",
+       "2015-11-27 -0.002348  0.004956  \n",
+       "\n",
+       "[5 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "daily_returns = combined_portfolio_df.pct_change()\n",
+    "daily_returns.head()\n",
+    "\n",
+    "daily_returns.dropna(inplace=True)\n",
+    "\n",
+    "daily_returns.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
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+       "\n",
+       "    .dataframe thead th {\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>PPG</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "      <td>0.008201</td>\n",
+       "      <td>-0.016832</td>\n",
+       "      <td>0.008676</td>\n",
+       "      <td>0.026711</td>\n",
+       "      <td>-0.003407</td>\n",
+       "      <td>0.030111</td>\n",
+       "      <td>0.004340</td>\n",
+       "      <td>0.008632</td>\n",
+       "      <td>0.009976</td>\n",
+       "      <td>0.004635</td>\n",
+       "      <td>0.001658</td>\n",
+       "      <td>0.009385</td>\n",
+       "      <td>-0.000131</td>\n",
+       "      <td>0.021152</td>\n",
+       "      <td>0.012092</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "      <td>-0.005084</td>\n",
+       "      <td>-0.056809</td>\n",
+       "      <td>-0.014973</td>\n",
+       "      <td>0.017011</td>\n",
+       "      <td>-0.026414</td>\n",
+       "      <td>0.009609</td>\n",
+       "      <td>-0.002593</td>\n",
+       "      <td>-0.005473</td>\n",
+       "      <td>-0.003448</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.002146</td>\n",
+       "      <td>0.002180</td>\n",
+       "      <td>-0.002881</td>\n",
+       "      <td>-0.007170</td>\n",
+       "      <td>0.008125</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "      <td>0.008176</td>\n",
+       "      <td>-0.008251</td>\n",
+       "      <td>0.008085</td>\n",
+       "      <td>-0.005534</td>\n",
+       "      <td>0.020428</td>\n",
+       "      <td>-0.013757</td>\n",
+       "      <td>-0.004828</td>\n",
+       "      <td>-0.006804</td>\n",
+       "      <td>-0.011314</td>\n",
+       "      <td>0.001107</td>\n",
+       "      <td>-0.007709</td>\n",
+       "      <td>-0.017729</td>\n",
+       "      <td>-0.006960</td>\n",
+       "      <td>0.009183</td>\n",
+       "      <td>0.000190</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "      <td>-0.005068</td>\n",
+       "      <td>-0.009983</td>\n",
+       "      <td>-0.001283</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>0.028151</td>\n",
+       "      <td>0.006893</td>\n",
+       "      <td>0.000249</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>-0.003121</td>\n",
+       "      <td>-0.010323</td>\n",
+       "      <td>0.001233</td>\n",
+       "      <td>0.010678</td>\n",
+       "      <td>0.005157</td>\n",
+       "      <td>0.010778</td>\n",
+       "      <td>0.009195</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "      <td>-0.002038</td>\n",
+       "      <td>0.012605</td>\n",
+       "      <td>0.008352</td>\n",
+       "      <td>-0.004039</td>\n",
+       "      <td>-0.002434</td>\n",
+       "      <td>0.010309</td>\n",
+       "      <td>-0.005472</td>\n",
+       "      <td>0.005954</td>\n",
+       "      <td>0.000379</td>\n",
+       "      <td>0.004470</td>\n",
+       "      <td>0.007328</td>\n",
+       "      <td>-0.006184</td>\n",
+       "      <td>-0.000789</td>\n",
+       "      <td>-0.000612</td>\n",
+       "      <td>-0.002348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.015977</td>\n",
+       "      <td>0.008432</td>\n",
+       "      <td>0.035520</td>\n",
+       "      <td>0.042578</td>\n",
+       "      <td>0.005042</td>\n",
+       "      <td>0.008110</td>\n",
+       "      <td>0.020715</td>\n",
+       "      <td>0.021848</td>\n",
+       "      <td>0.015370</td>\n",
+       "      <td>0.021200</td>\n",
+       "      <td>0.022787</td>\n",
+       "      <td>-0.012738</td>\n",
+       "      <td>0.023848</td>\n",
+       "      <td>0.014502</td>\n",
+       "      <td>0.033623</td>\n",
+       "      <td>0.010929</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.016111</td>\n",
+       "      <td>-0.003679</td>\n",
+       "      <td>0.019275</td>\n",
+       "      <td>0.012526</td>\n",
+       "      <td>0.018149</td>\n",
+       "      <td>0.009431</td>\n",
+       "      <td>0.016091</td>\n",
+       "      <td>0.016190</td>\n",
+       "      <td>0.000792</td>\n",
+       "      <td>0.007849</td>\n",
+       "      <td>0.007795</td>\n",
+       "      <td>0.020550</td>\n",
+       "      <td>0.019788</td>\n",
+       "      <td>0.026593</td>\n",
+       "      <td>0.002413</td>\n",
+       "      <td>0.012391</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.004813</td>\n",
+       "      <td>-0.001846</td>\n",
+       "      <td>0.025193</td>\n",
+       "      <td>0.014634</td>\n",
+       "      <td>0.003333</td>\n",
+       "      <td>-0.006046</td>\n",
+       "      <td>0.005768</td>\n",
+       "      <td>0.003162</td>\n",
+       "      <td>0.000500</td>\n",
+       "      <td>0.019352</td>\n",
+       "      <td>-0.010409</td>\n",
+       "      <td>0.007208</td>\n",
+       "      <td>-0.006892</td>\n",
+       "      <td>-0.008246</td>\n",
+       "      <td>0.003034</td>\n",
+       "      <td>-0.011582</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.008254</td>\n",
+       "      <td>0.003867</td>\n",
+       "      <td>-0.013713</td>\n",
+       "      <td>0.023042</td>\n",
+       "      <td>0.061568</td>\n",
+       "      <td>0.014653</td>\n",
+       "      <td>0.013273</td>\n",
+       "      <td>0.015640</td>\n",
+       "      <td>0.006705</td>\n",
+       "      <td>0.000420</td>\n",
+       "      <td>0.014812</td>\n",
+       "      <td>0.008122</td>\n",
+       "      <td>0.015771</td>\n",
+       "      <td>0.005726</td>\n",
+       "      <td>0.025053</td>\n",
+       "      <td>0.014543</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.005293</td>\n",
+       "      <td>-0.000335</td>\n",
+       "      <td>0.036543</td>\n",
+       "      <td>0.006208</td>\n",
+       "      <td>-0.013368</td>\n",
+       "      <td>-0.008992</td>\n",
+       "      <td>0.054957</td>\n",
+       "      <td>0.008475</td>\n",
+       "      <td>0.001737</td>\n",
+       "      <td>0.018060</td>\n",
+       "      <td>0.010127</td>\n",
+       "      <td>0.009746</td>\n",
+       "      <td>0.007737</td>\n",
+       "      <td>-0.001404</td>\n",
+       "      <td>0.004170</td>\n",
+       "      <td>-0.002457</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500      ORCL        SQ      NVDA      BABA       PFE  \\\n",
+       "2015-11-20  0.003810  0.008201 -0.016832  0.008676  0.026711 -0.003407   \n",
+       "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973  0.017011 -0.026414   \n",
+       "2015-11-24  0.001222  0.008176 -0.008251  0.008085 -0.005534  0.020428   \n",
+       "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283  0.010512  0.028151   \n",
+       "2015-11-27  0.000594 -0.002038  0.012605  0.008352 -0.004039 -0.002434   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.015977  0.008432  0.035520  0.042578  0.005042  0.008110   \n",
+       "2020-09-28  0.016111 -0.003679  0.019275  0.012526  0.018149  0.009431   \n",
+       "2020-09-29 -0.004813 -0.001846  0.025193  0.014634  0.003333 -0.006046   \n",
+       "2020-09-30  0.008254  0.003867 -0.013713  0.023042  0.061568  0.014653   \n",
+       "2020-10-01  0.005293 -0.000335  0.036543  0.006208 -0.013368 -0.008992   \n",
+       "\n",
+       "                NFLX       CRM       AMT        FB      MSFT      COST  \\\n",
+       "2015-11-20  0.030111  0.004340  0.008632  0.009976  0.004635  0.001658   \n",
+       "2015-11-23  0.009609 -0.002593 -0.005473 -0.003448  0.000000  0.002146   \n",
+       "2015-11-24 -0.013757 -0.004828 -0.006804 -0.011314  0.001107 -0.007709   \n",
+       "2015-11-25  0.006893  0.000249 -0.001713 -0.003121 -0.010323  0.001233   \n",
+       "2015-11-27  0.010309 -0.005472  0.005954  0.000379  0.004470  0.007328   \n",
+       "...              ...       ...       ...       ...       ...       ...   \n",
+       "2020-09-25  0.020715  0.021848  0.015370  0.021200  0.022787 -0.012738   \n",
+       "2020-09-28  0.016091  0.016190  0.000792  0.007849  0.007795  0.020550   \n",
+       "2020-09-29  0.005768  0.003162  0.000500  0.019352 -0.010409  0.007208   \n",
+       "2020-09-30  0.013273  0.015640  0.006705  0.000420  0.014812  0.008122   \n",
+       "2020-10-01  0.054957  0.008475  0.001737  0.018060  0.010127  0.009746   \n",
+       "\n",
+       "                 BLK      TROW       UNH       PPG  \n",
+       "2015-11-20  0.009385 -0.000131  0.021152  0.012092  \n",
+       "2015-11-23  0.002180 -0.002881 -0.007170  0.008125  \n",
+       "2015-11-24 -0.017729 -0.006960  0.009183  0.000190  \n",
+       "2015-11-25  0.010678  0.005157  0.010778  0.009195  \n",
+       "2015-11-27 -0.006184 -0.000789 -0.000612 -0.002348  \n",
+       "...              ...       ...       ...       ...  \n",
+       "2020-09-25  0.023848  0.014502  0.033623  0.010929  \n",
+       "2020-09-28  0.019788  0.026593  0.002413  0.012391  \n",
+       "2020-09-29 -0.006892 -0.008246  0.003034 -0.011582  \n",
+       "2020-09-30  0.015771  0.005726  0.025053  0.014543  \n",
+       "2020-10-01  0.007737 -0.001404  0.004170 -0.002457  \n",
+       "\n",
+       "[1224 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Drop stocks that are not being used in our portfolio\n",
+    "#Keep the following: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ\n",
+    "\n",
+    "Portfolio_returns= daily_returns.drop(columns=['GD','HD','WMT', 'VZ','MCD','SBUX','CLX','PSX','JNJ','MMM','UPS','ACN','NEE'])\n",
+    "\n",
+    "Core_returns= Portfolio_returns\n",
+    "\n",
+    "Core_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2015-11-20    0.006532\n",
+       "2015-11-23   -0.003925\n",
+       "2015-11-24   -0.000940\n",
+       "2015-11-25    0.002003\n",
+       "2015-11-27    0.001257\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Use the `dot` function to multiply the weights by each stock's daily return to get the portfolio daily return\n",
+    "weights = [0.40,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,]\n",
+    "core_portfolio_returns = Core_returns.dot(weights)\n",
+    "core_portfolio_returns.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    " # plot the daily portfolio returns\n",
+    "core_portfolio_returns.plot(figsize=(20,10), title=\"Daily Portfolio return\"); "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2015-11-20    0.006532\n",
+       "2015-11-23    0.002581\n",
+       "2015-11-24    0.001639\n",
+       "2015-11-25    0.003645\n",
+       "2015-11-27    0.004906\n",
+       "                ...   \n",
+       "2020-09-25    1.474158\n",
+       "2020-09-28    1.508525\n",
+       "2020-09-29    1.507425\n",
+       "2020-09-30    1.536714\n",
+       "2020-10-01    1.555398\n",
+       "Length: 1224, dtype: float64"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Calculating Cumulative Product\n",
+    "core_cumulative_returns = (1 + core_portfolio_returns).cumprod() - 1\n",
+    "core_cumulative_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "core_cumulative_returns.plot(figsize=(20,10), title=\"Cumulative Portfolio return\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>-0.001235</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.001222</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>-0.000129</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.000594</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.015977</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.016111</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>-0.004813</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.008254</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.005293</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500\n",
+       "2015-11-20  0.003810\n",
+       "2015-11-23 -0.001235\n",
+       "2015-11-24  0.001222\n",
+       "2015-11-25 -0.000129\n",
+       "2015-11-27  0.000594\n",
+       "...              ...\n",
+       "2020-09-25  0.015977\n",
+       "2020-09-28  0.016111\n",
+       "2020-09-29 -0.004813\n",
+       "2020-09-30  0.008254\n",
+       "2020-10-01  0.005293\n",
+       "\n",
+       "[1224 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#SP500 daily returns\n",
+    "\n",
+    "SP500_daily_returns= Core_returns.drop(columns=['AMT', 'ORCL', 'PPG', 'COST', 'MSFT', 'UNH', 'TROW', 'BLK', 'NVDA', 'FB', 'BABA', 'CRM', 'PFE', 'NFLX', 'SQ'])\n",
+    "\n",
+    "SP500_daily_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>0.003810</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>0.002571</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>0.003796</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>0.003666</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-27</th>\n",
+       "      <td>0.004262</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>0.584853</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>0.610386</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>0.602636</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>0.615864</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>0.624416</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1224 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               SP500\n",
+       "2015-11-20  0.003810\n",
+       "2015-11-23  0.002571\n",
+       "2015-11-24  0.003796\n",
+       "2015-11-25  0.003666\n",
+       "2015-11-27  0.004262\n",
+       "...              ...\n",
+       "2020-09-25  0.584853\n",
+       "2020-09-28  0.610386\n",
+       "2020-09-29  0.602636\n",
+       "2020-09-30  0.615864\n",
+       "2020-10-01  0.624416\n",
+       "\n",
+       "[1224 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Calculating Cumulative Product for SP500\n",
+    "Sp500_cumulative_returns = (1 + SP500_daily_returns).cumprod() - 1\n",
+    "Sp500_cumulative_returns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "SP500_daily_returns.plot(figsize=(20,10), title=\"Daily Returns of SP500\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "Sp500_cumulative_returns.plot(figsize=(20,10), title=\"Cumulative Returns of SP500\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x26e1e783700>]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(core_portfolio_returns)\n",
+    "plt.plot(SP500_daily_returns)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.013021605893950699\n",
+      "0.0008521218194888947\n"
+     ]
+    }
+   ],
+   "source": [
+    "#calculate Std Dev of Portfolio\n",
+    "\n",
+    "print(core_portfolio_returns.std())\n",
+    "print(core_portfolio_returns.mean())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SP500</th>\n",
+       "      <th>ORCL</th>\n",
+       "      <th>SQ</th>\n",
+       "      <th>NVDA</th>\n",
+       "      <th>BABA</th>\n",
+       "      <th>PFE</th>\n",
+       "      <th>NFLX</th>\n",
+       "      <th>CRM</th>\n",
+       "      <th>AMT</th>\n",
+       "      <th>FB</th>\n",
+       "      <th>MSFT</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>BLK</th>\n",
+       "      <th>TROW</th>\n",
+       "      <th>UNH</th>\n",
+       "      <th>PPG</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-11-19</th>\n",
+       "      <td>2081.239990</td>\n",
+       "      <td>36.108597</td>\n",
+       "      <td>13.070000</td>\n",
+       "      <td>30.458263</td>\n",
+       "      <td>77.870003</td>\n",
+       "      <td>27.049994</td>\n",
+       "      <td>120.220001</td>\n",
+       "      <td>80.639999</td>\n",
+       "      <td>99.63</td>\n",
+       "      <td>106.26</td>\n",
+       "      <td>53.94</td>\n",
+       "      <td>162.83</td>\n",
+       "      <td>359.09</td>\n",
+       "      <td>76.38</td>\n",
+       "      <td>110.63</td>\n",
+       "      <td>103.37</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-20</th>\n",
+       "      <td>2089.169922</td>\n",
+       "      <td>36.404728</td>\n",
+       "      <td>12.850000</td>\n",
+       "      <td>30.722525</td>\n",
+       "      <td>79.949997</td>\n",
+       "      <td>26.957846</td>\n",
+       "      <td>123.839996</td>\n",
+       "      <td>80.989998</td>\n",
+       "      <td>100.49</td>\n",
+       "      <td>107.32</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>163.10</td>\n",
+       "      <td>362.46</td>\n",
+       "      <td>76.37</td>\n",
+       "      <td>112.97</td>\n",
+       "      <td>104.62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-23</th>\n",
+       "      <td>2086.590088</td>\n",
+       "      <td>36.219639</td>\n",
+       "      <td>12.120000</td>\n",
+       "      <td>30.262524</td>\n",
+       "      <td>81.309998</td>\n",
+       "      <td>26.245783</td>\n",
+       "      <td>125.029999</td>\n",
+       "      <td>80.779999</td>\n",
+       "      <td>99.94</td>\n",
+       "      <td>106.95</td>\n",
+       "      <td>54.19</td>\n",
+       "      <td>163.45</td>\n",
+       "      <td>363.25</td>\n",
+       "      <td>76.15</td>\n",
+       "      <td>112.16</td>\n",
+       "      <td>105.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-24</th>\n",
+       "      <td>2089.139893</td>\n",
+       "      <td>36.515770</td>\n",
+       "      <td>12.020000</td>\n",
+       "      <td>30.507206</td>\n",
+       "      <td>80.860001</td>\n",
+       "      <td>26.781923</td>\n",
+       "      <td>123.309998</td>\n",
+       "      <td>80.389999</td>\n",
+       "      <td>99.26</td>\n",
+       "      <td>105.74</td>\n",
+       "      <td>54.25</td>\n",
+       "      <td>162.19</td>\n",
+       "      <td>356.81</td>\n",
+       "      <td>75.62</td>\n",
+       "      <td>113.19</td>\n",
+       "      <td>105.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-11-25</th>\n",
+       "      <td>2088.870117</td>\n",
+       "      <td>36.330700</td>\n",
+       "      <td>11.900000</td>\n",
+       "      <td>30.468054</td>\n",
+       "      <td>81.709999</td>\n",
+       "      <td>27.535873</td>\n",
+       "      <td>124.160004</td>\n",
+       "      <td>80.410004</td>\n",
+       "      <td>99.09</td>\n",
+       "      <td>105.41</td>\n",
+       "      <td>53.69</td>\n",
+       "      <td>162.39</td>\n",
+       "      <td>360.62</td>\n",
+       "      <td>76.01</td>\n",
+       "      <td>114.41</td>\n",
+       "      <td>106.46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-25</th>\n",
+       "      <td>3298.459961</td>\n",
+       "      <td>59.799999</td>\n",
+       "      <td>157.720001</td>\n",
+       "      <td>514.950012</td>\n",
+       "      <td>271.089996</td>\n",
+       "      <td>36.049999</td>\n",
+       "      <td>482.880005</td>\n",
+       "      <td>242.740005</td>\n",
+       "      <td>239.81</td>\n",
+       "      <td>254.82</td>\n",
+       "      <td>207.82</td>\n",
+       "      <td>342.58</td>\n",
+       "      <td>547.81</td>\n",
+       "      <td>125.22</td>\n",
+       "      <td>302.50</td>\n",
+       "      <td>120.25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-28</th>\n",
+       "      <td>3351.600098</td>\n",
+       "      <td>59.580002</td>\n",
+       "      <td>160.759995</td>\n",
+       "      <td>521.400024</td>\n",
+       "      <td>276.010010</td>\n",
+       "      <td>36.389999</td>\n",
+       "      <td>490.649994</td>\n",
+       "      <td>246.669998</td>\n",
+       "      <td>240.00</td>\n",
+       "      <td>256.82</td>\n",
+       "      <td>209.44</td>\n",
+       "      <td>349.62</td>\n",
+       "      <td>558.65</td>\n",
+       "      <td>128.55</td>\n",
+       "      <td>303.23</td>\n",
+       "      <td>121.74</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-29</th>\n",
+       "      <td>3335.469971</td>\n",
+       "      <td>59.470001</td>\n",
+       "      <td>164.809998</td>\n",
+       "      <td>529.030029</td>\n",
+       "      <td>276.929993</td>\n",
+       "      <td>36.169998</td>\n",
+       "      <td>493.480011</td>\n",
+       "      <td>247.449997</td>\n",
+       "      <td>240.12</td>\n",
+       "      <td>261.79</td>\n",
+       "      <td>207.26</td>\n",
+       "      <td>352.14</td>\n",
+       "      <td>554.80</td>\n",
+       "      <td>127.49</td>\n",
+       "      <td>304.15</td>\n",
+       "      <td>120.33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-09-30</th>\n",
+       "      <td>3363.000000</td>\n",
+       "      <td>59.700001</td>\n",
+       "      <td>162.550003</td>\n",
+       "      <td>541.219971</td>\n",
+       "      <td>293.980011</td>\n",
+       "      <td>36.700001</td>\n",
+       "      <td>500.029999</td>\n",
+       "      <td>251.320007</td>\n",
+       "      <td>241.73</td>\n",
+       "      <td>261.90</td>\n",
+       "      <td>210.33</td>\n",
+       "      <td>355.00</td>\n",
+       "      <td>563.55</td>\n",
+       "      <td>128.22</td>\n",
+       "      <td>311.77</td>\n",
+       "      <td>122.08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-10-01</th>\n",
+       "      <td>3380.800049</td>\n",
+       "      <td>59.680000</td>\n",
+       "      <td>168.490005</td>\n",
+       "      <td>544.580017</td>\n",
+       "      <td>290.049988</td>\n",
+       "      <td>36.369999</td>\n",
+       "      <td>527.510010</td>\n",
+       "      <td>253.449997</td>\n",
+       "      <td>242.15</td>\n",
+       "      <td>266.63</td>\n",
+       "      <td>212.46</td>\n",
+       "      <td>358.46</td>\n",
+       "      <td>567.91</td>\n",
+       "      <td>128.04</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>121.78</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1225 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  SP500       ORCL          SQ        NVDA        BABA  \\\n",
+       "2015-11-19  2081.239990  36.108597   13.070000   30.458263   77.870003   \n",
+       "2015-11-20  2089.169922  36.404728   12.850000   30.722525   79.949997   \n",
+       "2015-11-23  2086.590088  36.219639   12.120000   30.262524   81.309998   \n",
+       "2015-11-24  2089.139893  36.515770   12.020000   30.507206   80.860001   \n",
+       "2015-11-25  2088.870117  36.330700   11.900000   30.468054   81.709999   \n",
+       "...                 ...        ...         ...         ...         ...   \n",
+       "2020-09-25  3298.459961  59.799999  157.720001  514.950012  271.089996   \n",
+       "2020-09-28  3351.600098  59.580002  160.759995  521.400024  276.010010   \n",
+       "2020-09-29  3335.469971  59.470001  164.809998  529.030029  276.929993   \n",
+       "2020-09-30  3363.000000  59.700001  162.550003  541.219971  293.980011   \n",
+       "2020-10-01  3380.800049  59.680000  168.490005  544.580017  290.049988   \n",
+       "\n",
+       "                  PFE        NFLX         CRM     AMT      FB    MSFT    COST  \\\n",
+       "2015-11-19  27.049994  120.220001   80.639999   99.63  106.26   53.94  162.83   \n",
+       "2015-11-20  26.957846  123.839996   80.989998  100.49  107.32   54.19  163.10   \n",
+       "2015-11-23  26.245783  125.029999   80.779999   99.94  106.95   54.19  163.45   \n",
+       "2015-11-24  26.781923  123.309998   80.389999   99.26  105.74   54.25  162.19   \n",
+       "2015-11-25  27.535873  124.160004   80.410004   99.09  105.41   53.69  162.39   \n",
+       "...               ...         ...         ...     ...     ...     ...     ...   \n",
+       "2020-09-25  36.049999  482.880005  242.740005  239.81  254.82  207.82  342.58   \n",
+       "2020-09-28  36.389999  490.649994  246.669998  240.00  256.82  209.44  349.62   \n",
+       "2020-09-29  36.169998  493.480011  247.449997  240.12  261.79  207.26  352.14   \n",
+       "2020-09-30  36.700001  500.029999  251.320007  241.73  261.90  210.33  355.00   \n",
+       "2020-10-01  36.369999  527.510010  253.449997  242.15  266.63  212.46  358.46   \n",
+       "\n",
+       "               BLK    TROW     UNH     PPG  \n",
+       "2015-11-19  359.09   76.38  110.63  103.37  \n",
+       "2015-11-20  362.46   76.37  112.97  104.62  \n",
+       "2015-11-23  363.25   76.15  112.16  105.47  \n",
+       "2015-11-24  356.81   75.62  113.19  105.49  \n",
+       "2015-11-25  360.62   76.01  114.41  106.46  \n",
+       "...            ...     ...     ...     ...  \n",
+       "2020-09-25  547.81  125.22  302.50  120.25  \n",
+       "2020-09-28  558.65  128.55  303.23  121.74  \n",
+       "2020-09-29  554.80  127.49  304.15  120.33  \n",
+       "2020-09-30  563.55  128.22  311.77  122.08  \n",
+       "2020-10-01  567.91  128.04  313.07  121.78  \n",
+       "\n",
+       "[1225 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "portfolio_5yrs = combined_portfolio_df.drop(columns=['MCD', 'VZ', 'JNJ', 'CLX', 'WMT', 'NEE', 'GD', 'MMM', 'ACN', 'UPS', 'HD', 'SBUX', 'PSX'])\n",
+    "portfolio_5yrs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "portfolio_5yrs.plot(title='Core Stock Performances');"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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FEBZt2bLlCMuSJEmSJEmSJElq3N5QiwY6lo52F1xwAWVlZfz+978HoLq6mhtuuIFrrrmGzp07J+cNGzaM73//+9x2220MGTKEMWPG8JOf/IQYIwCrVq3iL3/5S6vVfaSh1jQg/wDXPx5jPAO4GLg+hHBuYxNjjLNijGNijGP69OlzhGVJkiRJkiRJkiQ1rrou1IpVlSmupPWFEHj88cd5+OGHOemkkxg2bBidOnXilltu2W/ul770JZ577jlWr17Nvffey8aNGxk6dCgjR47kX/7lXxgwYAAAZWVlHHfcccm/X/3qV81e90G3H2xMCCEd+AxwZmNzYowb6v7dHEJ4HPgI8FxTnylJkiRJkiRJktQc9nZqxcqOF2oBHH/88TzxxBP7jY8fP57x48cnv2dnZ7N+/frk93vuuafB9Wpqapq9xg87kk6tCcCKGOO6hi6GELqEELrt/QxcBCw7gudJkiRJkiRJkiQ1i5rSstoPlVWpLUSH7KChVgghH1gAnBxCWBdC+GLdpal8aOvBEMKAEMKTdV/7Ai+EEJYCrwB/izE+1XylS5IkSZIkSZIkNU2yU6vKUKu9OOj2gzHGaY2MX9PA2AbgkrrP7wKjj7A+SZIkSZIkSZKkZmeo1f4cyfaDkiRJkiRJkiRJ7ZKhVvtjqCVJkiRJkiRJkjqcD0KtyhRXokNlqCVJkiRJkiRJkjqcvaEWlXZqtReGWpIkSZIkSZIkqUOJNTUdfvvBm2++meHDhzNq1Cjy8vJYuHAhFRUVfOMb32DIkCEMHTqUSZMm8d5776W61KT0VBcgSZIkSZIkSZLUmmpKSyFGAGJlx9t+cMGCBcyZM4clS5aQlZXF1q1bqaio4Ac/+AHFxcWsXLmSRCLB/fffz6WXXsrixYtJS0t9n1TqK5AkSZIkSZIkSWpFNcXFyc8dsVOrqKiI3r17k5WVBUDv3r3p0aMH999/P3fccQeJRAKAGTNm0LVrV55++ulUlptkp5YkSZIkSZIkSepQqotLkp9TGWrd9sptrNi+olnXPCX3FL77ke8ecM5FF13ETTfdxLBhw5gwYQJTpkyhZ8+eDBw4kO7du9ebO2bMGN544w0uuuiiZq2zKezUkiRJkiRJkiRJHUpNSW2nVlqXLlDV8bYf7Nq1K4sXL2bWrFn06dOHKVOm8OyzzxJC2G9urNumsS2wU0uSJEmSJEmSJHUo1XXbDyZ69iRWtlynVk1FBeXLlpGdl0do4Eyqg3VUtaREIsH48eMZP348I0eO5Le//S1r1qyhuLiYbt26JectWbKEK6+8MmV17stOLUmSJEmSJEmS1KHU1G0/mOjZs0W3HyxbsIA1n7ua0hdfbLFnNMVbb73FqlWrkt8LCgo4+eST+cIXvsC3vvUtqqurAfj9739Pp06d+PjHP56qUuuxU0uSJEmSJEmSJHUo1cW7AEjk9qRqy5YWe07x00+T1qULnc86q8We0RQlJSX827/9Gzt27CA9PZ2hQ4cya9YsunXrxne+8x1OPvlkdu/eTZ8+fViwYEGD2xKmgp1akiRJkiRJkiSpQ9nbqZXeo+U6tWJ1NcX/+wxdzzuPtMzMFnlGU5155pm89NJLvPHGG7z++us89thj9O7dm6ysLO68807efvttFi9eDMB///d/p7jaD9ipJUmSJEmSJEmSOpSakmLIyCCtSxdiZWWLPKPivfeo3r6dLm1k677D1a9fPwoKClJdRj12akmSJEmSJEmSpA6luriYRNeuhIwMaKFQq3rbNgDS+/VtkfU7IkMtSZIkSZIkSZLUodQUl5DWvRshI73Fth+s2rYdgPRevVpk/Y7IUEuSJEmSJEmSJHUo1cW7SHTtBuktGWptBQy1mpOhliRJkiRJkiRJ6lBqiktI69aNkJ4BNTXEmppmf0b1tu0QAomePZt97Y7KUEuSJEmSJEmSJHUYsbqainVrSe/Vi5CeXjvWAt1aVdu3kejRI/kMHTlDLUmSJEmSJEmS1GGUvbqI6i1b6XbBJwgZdYFTZWWzP6d66zYSvXKbfd3mEELghhtuSH6//fbbmTlzJvPnz+fss8+uN7eqqoq+fftSVFTENddcw+DBgxk9ejTDhg1j+vTprF+/vt78xx9/nBACK1asaPa6DbUkSZIkSZIkSVKHsXPOE6R17kzX889v4U6t7aT36t3s6zaHrKwsHnvsMbZu3Vpv/Nxzz2XdunUUFhYmx55++mlGjBhB//79AfjlL3/J0qVLeeuttzj99NM5//zzqaioSM7Pz8/nnHPOYfbs2c1et6GWJEmSJEmSJEnqEGoqKij+n7/T7cIJpGVnw95QqyU6tbZtI72Ndmqlp6dz3XXXcccdd9QbT0tL47Of/SwPPfRQcmz27NlMmzZtvzVCCHzzm9+kX79+zJ07F4CSkhJefPFF7rvvvhYJtdzIUZIkSZIkSZIkdQilzz1HTXEx3SdNAiBkZAAt1Km1bRuJ3F4HnLPxllvY82bzbtOXdeop9PvBDw467/rrr2fUqFHceOON9canTZvGddddx3e/+1327NnDk08+uV/4ta8zzjiDFStWcOmll/LnP/+ZiRMnMmzYMHJzc1myZAlnnHHGEb/TXnZqSZIkSZIkSZKkDmHnnL+RyM2lS925USG9ZUKt6pISaoqLSe97TLOu25y6d+/O9OnTufPOO+uNjx07lpKSEt566y3mzp3LRz/6UXr27NnoOjHG5Of8/HymTp0KwNSpU8nPz2/Wmu3UkiRJkiRJkiRJR73qkhJKnn2WHldemTxLK2S0zPaDle+9B0DmCScccN6hdFS1pG984xucccYZzJgxo9741KlTmT17Nm+++WaDWw/u67XXXuOCCy5g27ZtPPPMMyxbtowQAtXV1YQQ+MUvfkEIoVnqtVNLkiRJkiRJkiQd9Uqff564Zw/dP/Wp5NjecItm7tSqOMRQK9Vyc3O56qqruO++++qNT5s2jT/84Q8888wzTJ48ucF7Y4zceeedFBUVMXHiRB555BGmT5/OmjVrKCwsZO3atQwePJgXXnih2eo11JIkSZIkSZIkSUe9qi1bAcgcPOiDwbpQq7m3H6xYUxdqHXdcs67bEm644Qa2bt1ab+y0006jc+fOfOITn6BLly71rn3nO99h9OjRDBs2jFdffZVnn32WzMxM8vPzufzyy+vNveKKK/jjH//YbLW6/aAkSZIkSZIkSTrq1ZSVApDYJ6QJLRVqvbeGRJ/epH0oEGorSkpKkp/79u1LWVnZfnOWLl2639gDDzzQ6Jrz58/fb+xrX/tak+prjJ1akiRJkiRJkiTpqFdTUkLIyCBkZibHQnoGALGyeUOtyjXvkTmwbW892B4ZakmSJEmSJEmSpKNedWkpaV271hsLGXtDrcqD319SckgdXZUbNlC2dCnZI0Y0rVA1ylBLkiRJkiRJkiQd9WpKS/fbDnDv95rSkoZuSYpVVawcM5aNP/vZQZ+zddYsAHKv+UITK1VjDLUkSZIkSZIkSdJRr6a0bL9QK5HTHYDqnbsOeG/5W28BUDz3qQPOqywqYsejj9Hjis+Q0b//EVSrhhhqSZIkSZIkSZKko15DnVqJnBwAqnfuOOC9u18rACDzpKEHnLftnnsA6H3ddU0tUwdgqCVJkiRJkiRJko56DW4/2K0bhEDNrgN3au0uqA21El27NTqncuNGdjz8CD0uv5yMAQOOvGDtx1BLkiRJkiRJkiQd9RoKtUJaGmnduh18+8E33kiu0ZiS+fOJlZXkXnPNEdfa0hKJBHl5eYwePZozzjiDl156qd71O+64g06dOrFz587k2Pz588nJySEvL49Ro0YxYcIENm/eXO++Sy+9lLPPPrvF6jbUkiRJkiRJkiRJR72akhLSunTebzyRk0P1PuHNh8UYqSwqAqC6pKTRedW7igHIGND2z9LKzs6moKCApUuX8vOf/5zvf//79a7n5+czduxYHn/88Xrj48aNo6CggNdff52xY8dy9913J6/t2LGDJUuWsGPHDlavXt0idRtqSZIkSZIkSZKko1qMkZrSUhJdu+53LdG9O9W7Gg+1anbuJO7eXfv5AKFWTWkppKURsrKOvOBWtGvXLnr27Jn8/s4771BSUsLPfvYz8vPzG7wnxkhxcXG9+x599FE+/elPM3XqVGbPnt0itaa3yKqSJEmSJEmSJEltwK558yj63vcb3H4QIJHT/YCdWpUbN9bOy809aKiV1qULIYRDru35P61k69rG12yK3sd3ZdxVww44Z/fu3eTl5VFeXk5RURHPPPNM8lp+fj7Tpk1j3LhxvPXWW2zevJljjjmmtt7nnycvL49t27bRpUsXbrnllnr3/eQnP6Fv375ceeWV+3V/NQc7tSRJkiRJkiRJ0lFp17x5rP/a15NnYTUUaqXl5FDzoTO1yleuJFZVASS3HswaOpTqkhJijA0+q6asrMH126K92w+uWLGCp556iunTpyffa/bs2UydOpW0tDQ+85nP8PDDDyfv27v94Nq1a5kxYwY33ngjAJs2beLtt9/mnHPOYdiwYaSnp7Ns2bJmr9tOLUmSJEmSJEmSdNSIMVLyzDNsu/c+dr/2Gp1OO43K9eup3rmz4U6t7jlU7/og1KpYt57Vky8l9wvT6fv971NV16mVNXQoZa+8QqyoaHCLwcY6wQ7kYB1VreHss89m69atbNmyhY0bN7Jq1SouvPBCACoqKjjxxBO5/vrr97tv8uTJXHHFFQA89NBDvP/++wwePBio3dJw9uzZ/OxnP2vWWu3UkiRJkiRJkiRJR43i//k7667/KlWbN9P3//wfTnjwD2SdcgrQcKdWIieH6p07k51KNSXFAJQueBmAyqKNkJ5OZl1g09gWhE0JtdqCFStWUF1dTa9evcjPz2fmzJkUFhZSWFjIhg0bWL9+PWvWrNnvvhdeeIEhQ4YAtVsPPvXUU8n7Fi9e3CLnatmpJUmSJEmSJEmSjhpVmzcDMOjhP5GemwtA5sDjKVu4kOri4v3mJ3K6Q3U1NaVlJLp2gbozsWr2lANQubGI9GP61M4DaoqLoVcvoLYrrOiH/4fuF19cF2p1bvH3aw57z9SC2nf43e9+RyKRYPbs2cydO7fe3Msvv5zZs2dz1llnJc/UijGSk5PDvffeS2FhIe+99x4f/ehHk/cMHjyY7t27s3DhQs4666xmq9tQS5IkSZIkSZIkHTVqysoASOvaNTmWc9ll7Hj4EbJHjNhvfqJHTwCqt20l0bULcc8eAOKeCgCqijaS0a9/cr3qktLkvZVr17LzscdIdOtKTWkpGb1yW+almll1dXWD46tXr95v7Fe/+lXy886dOxu8b/369fuNLVmypInVNc7tByVJkiRJkiRJ0lGjprQUMjJIy8xMjnU+80xOWb6M7FGj9pufecJAACrqttirKa/t0Irlezu1NpLRrx9pXWpDrX23HyxbtBiA6tJSakpLSbTD7QfbE0MtSZIkSZIkSZJ01KgpLSWt8/7bAIZEosH5e8/KqigsBD7o0KqpqCDW1FC1cSPp/fuR6LY31PpgC8OyxYvqxkrb7Zla7YmhliRJkiRJkiRJOmrUlJUd1tlWidxc0rp12yfU+qBTq3r7dmJlZb3tB6u2b0/eu3tx7RZ7NaWGWq3BUEuSJEmSJEmSJB01GuvUakwIgczBg9lTd55UTd2ZWtTUUFm0EYCM/v3IGDCAjOOO4/3Zs2s7uLZuTQZh1Tt2ECsrDbVamKGWJEmSJEmSJEk6atR2ah1euJQ56AQqCmvP1Irle5LjlRuLAEjv15+Qnk7vL3+ZPW+8ye6CpZTVdWkl+vSmavNmANI6G2q1JEMtSZIkSZIkSZJ01KgpLSVxmKFW1uDBVBUVUVNWRqz4INSqKqoNtTL69wMge9RIACqLNlC2eBGhUyc6jxnzQahlp1aLMtSSJEmSJEmSJElHjZqyMsJhbD8IkDloEAAV771HzT6dWntWvU3IzCSRmwtAep8+AFRt2cLuRYvJHjWKRI8eECPQfkKtRCJBXl4eI0aM4LOf/SxlZWX1xvf+FRYWMn/+fHJycuqNP/300ympOz0lT5UkSZIkSZIkSWpGMUZCCE3q1MocPBiAitWriXv2CbVWriS9Xz9CCACk5eQQMjOpKCykfKhkfLcAACAASURBVMUKen/pX4kVFcn57SXUys7OpqCgAICrr76a3/zmN3zrW9+qN75XYWEh48aNY86cOakotR47tSRJkiRJkiRJUru25vPTWfvFfwZqtx887E6tgQMBqCgspGZPeXK8fOVKMvr1S34PIZDeuzcl//sM1NSQfeaZpHXtmryeyOl+JK+REuPGjePtt99OdRmHxE4tSZIkSZIkSZLUrpW9+ioA1SUl1JSVHXanVlrnzqT378+e1atJ79U7OR53706ep7VXep8+7F66FBIJOuflUfHOu8lrGf37H9Zzn31gFpvXvHvwiYfhmBNO5PxrrjukuVVVVcydO5eJEycCsHv3bvLy8gAYPHgwjz/+OADPP/98chzg0UcfZciQIc1a96E4aKgVQvgvYBKwOcY4om5sJvAvwJa6aT+IMT7ZwL0TgV8DCeDeGOOtzVS3JEmSJEmSJEkSsbo6+XnX3LnEiorD7tQCyBx0AhWFa0h07QYhJM/JSu9XP6hKP6b2XK1Op55KWpcu9bYcTPTq1ZRXaHX7hlfjxo3ji1/8IkCD2w/undMWth88lE6tB4C7gN9/aPyOGOPtjd0UQkgAdwMXAuuAV0MIf40xvtHEWiVJkiRJkiRJkuqp2rot+bl43jyAw+7UAsgaPJidc/5G1klDST/mGKo2b4YYG+zUAuh85hlA/XO0Qtrhnfp0qB1Vza2x8KqtO+ivG2N8DtjehLU/ArwdY3w3xlgBzAYubcI6kiRJkiRJkiRJDaravLn2Q0YGpS8tAGhip9YganbtoqqoiJCVRaJ77flY6f0aDrWyzzwTIHmmVsjMbFL9OnSHFxnW99UQwushhP8KIfRs4PqxwNp9vq+rG5MkSZIkSZIkSWoWVZs3AdD9wglQVQU0rVMrc/BgAMpXvEVaVhZpPXIA6p2xBdDptNNI5OTQeexYANK61AZoaTndm/YC7cDeM7X2/j3yyCMpqeNQth9syP8P+Hcg1v37H8C1H5oTGrgvNrZgCOE64DqAgQMHNrEsSZIkSZIkSZLUkezt1Op24YXsenIuUH9LwEOVOWgQANXbt5MxYADH3vwzNv/qDrKGnVRvXtfzzuOklxcQQm0MsrdDK5GT09RXaHUlJSWHPD5+/Hh27tzZ0iUdkiaFWjHGTXs/hxDuARo6HWwdcPw+348DNhxgzVnALIAxY8Y0Gn5JkiRJkiRJkiTtVblpEyQSdB0/ni7jxgHQafjww14nY8AAQkYGsbKS0CmL7FGjOOGB+xucuzfQAkjvXdvJ1ePyy5tQvQ5Hk0KtEEL/GGNR3dfLgWUNTHsVOCmEMBhYD0wFPtekKiVJkiRJkiRJkhpQtXkL6b17k5adzcB7ZjV5nZBIkHHCQCrefoe0zKxDvi+jb1+GvbyAtHbUqdVeHfRMrRBCPrAAODmEsC6E8EXgFyGEf4QQXgfOB75ZN3dACOFJgBhjFfBV4H+AN4E/xRiXt9B7SJIkSZIkSZKkDqhq0ybS+/ZtlrWy6s7VCp06HdZ9iR496nVvqWUctFMrxjitgeH7Gpm7Abhkn+9PAk82uTpJkiRJkiRJkqQDqNq8mYwTBjbLWpmD6kKtrMxmWU/N66CdWpIkSZIkSZIkSW1V5ebNZBzTPJ1amYMGAZCWdXidWmodhlqSJEmSJEmSJKldqikvp2bnTtKPOaZZ1stMbj946GdqqfUYakmSJEmSJEmSpHapavNmgGY7Uytz8CAA0rKO7lArhMANN9yQ/H777bczc+ZMAGbOnMmxxx5LXl4eeXl5fO973wNg/PjxLFq0qN46jz32GBdccEHy+wsvvEBeXh5VVVUtUrehliRJkiRJkiRJapeSodYxfZplvfSePekybhzZo0c3y3ptVVZWFo899hhbt25t8Po3v/lNCgoKKCgo4NZbb210nc985jN06tSJP/7xj1RVVfGVr3yF//f//h/p6ektUnfLrCpJkiRJkiRJktTCKjdtAiCjmTq1AAbeM6vZ1mqr0tPTue6667jjjju4+eabj2it//t//y8TJkxg+fLljB07lo997GPNVOX+DLUkSZIkSZIkSVK7VLV5C0CznanV2nY88Q4VG0qbdc3MAV3o8ekhB513/fXXM2rUKG688cb9rt1xxx384Q9/AOC2227jk5/8ZKPrnHjiiUyZMoW77rqLd955p+mFHwJDLUmSJEmSJEmS1C5VbdpEyM4mrVu3VJfS7nTv3p3p06dz5513kp2dXe/aN7/5Tb797W8f0jo1NTU8/fTTdO3alTVr1tC7d++WKBcw1JIkSZIkSZIkSe1U1ebNpB/ThxBCqktpkkPpqGpJ3/jGNzjjjDOYMWNGk9e4++67GTFiBP/+7//O9ddfz4IFC1rs/yOtRVaVJEmSJEmSJElqYZWbN5FxTPOdp9XR5ObmctVVV3Hfffc16f6NGzfyq1/9il/84hdMnDiRY489lnvvvbeZq/yAnVqSJEmSJEmSJKldqtq8heyRI1NdRrt2ww03cNdddx3S3E996lNkZGQAcPbZZ5ORkcGNN95Inz59APjP//xPxo0bxxVXXEFubm6z12qoJUmSJEmSJEmS2p0YI1WbNpE+YUKqS2l3SkpKkp/79u1LWVlZ8vvMmTMbvGf+/PkHXff444+nsLDwCKtrnNsPSpIkSZIkSZKkdqdm1y7inj2kH9Mn1aWolRhqSZIkSZIkSZKkdqdq82YAMvp6plZHYaglSZIkSZIkSZLancpNtaFW+jHHpLgStRZDLUmSJEmSJEmS1O5Url8PQHrffimuRK3FUEuSJEmSJEmSJLU7u//xOomcHDKOHZDqUtRKDLUkSZIkSZIkSVK7U750KZ3yRhNCSHUpaiWGWpIkSZIkSZIkqV0pW7SIPaveJnv06FSX0m5t3LiRqVOnMmTIEE477TQuueQSVq5cSXZ2Nnl5eZx22mlMnz6dyspKAObPn08Igfvuuy+5xmuvvUYIgdtvv71VajbUkiRJkiRJkiRJ7Ub1zp2s+afPA9DlrLNSXE37FGPk8ssvZ/z48bzzzju88cYb3HLLLWzatIkhQ4ZQUFDAP/7xD9atW8ef/vSn5H0jR47koYceSn6fPXs2o1sxWDTUkiRJkiRJkiRJ7Ub1zp0A9L7+ejqfeWaKq2mfnn32WTIyMvjSl76UHMvLy+P4449Pfk8kEnzkIx9h/fr1ybGBAwdSXl7Opk2biDHy1FNPcfHFF7da3emt9iRJkiRJkiRJkqQjVLN7NwBZw4aluJIjN3fuXDZu3Nisa/br1++gQdOyZcs48yCBYHl5OQsXLuTXv/51vfErr7yShx9+mNNPP50zzjiDrKysI675UNmpJUmSJEmSJEmS2qSKwkJWX/lZKt57LzlWU1oGQFrnzqkq66j2zjvvkJeXR69evRg4cCCjRo2qd/2qq67i4YcfJj8/n2nTprVqbXZqSZIkSZIkSZKkNmn9Dd+mfPlyip/+X3pdOwOAmt17Q63sVJbWLFpz6759DR8+nEceeaTBa3vP1CoqKmL8+PH89a9/ZfLkycnr/fr1IyMjg3nz5vHrX/+al156qbXKtlNLkiRJkiRJkiS1PbuXL6d8+XIA9rzzdnK8psxOrSP1iU98gj179nDPPfckx1599VXWrFmT/N6/f39uvfVWfv7zn+93/0033cRtt91GIpFolXr3MtSSJEmSJEmSJEltzvb7HyCtSxc6jR5F+RtvJsfj3lAru/13aqVKCIHHH3+cefPmMWTIEIYPH87MmTMZMGBAvXmXXXYZZWVlPP/88/XGP/axj3HZZZe1ZsmA2w9KkiRJkiRJkqQ2JsZI8dNPk3PZpSS6dWfb/fdTsXYtmccfT83u3QAEO7WOyIABA/jTn/603/iyZcuSn0MILF26NPl9/Pjx+82fOXNmS5TXIDu1JEmSJEmSJElSm1K9bRuxvJysoSfR9RPnA/DORZ9k7fVfpXz5G4DbD3ZEdmpJkiRJkiRJkqQ2pXLDBgAyBgyg8+mnM/TpebyfP5v3//u/PzhTy+0HOxw7tSRJkiRJkiRJUptSuX49ABnH1p7xlNGvH8d88xt0HjsWgNCpEyGRSFl9Sg1DLUmSJEmSJEmS1Kbs26m1r0RuLmCXVkdlqCVJkiRJkiRJktqUyvXrSevenUS3bvXG03sZanVkhlqSJEmSJEmSJKlNqVy/Yb8uLYBEz9pQK8bY2iWpDTDUkiRJkiRJkiRJbcqewtVkHn/8fuOJuk6tuHt3a5d01Hn88ccJIbBixQoACgsLCSHwox/9KDln69atZGRk8NWvfpWbb76ZvLw88vLySCQSyc933nlnq9VsqCVJkiRJkiRJktqM6l27qFzzHp2GD9/vWnqvXgDUlJe3dllHnfz8fM455xxmz56dHDvxxBOZM2dO8vvDDz/M8Lr/hx/+8IcUFBRQUFBAdnZ28vPXvva1VqvZUEuSJEmSJEmSJLUZ5W+8AdBgqJXcftBQ64iUlJTw4osvct9999ULtbKzszn11FNZtGgRAA899BBXXXVVqsrcT3qqC5AkSZIkSZIkSdqrfNkyADqNaKhTK7e1y2lRK1f+O8Ulbzbrmt26nsqwYT864Jw///nPTJw4kWHDhpGbm8uSJUvIza39badOncrs2bPp168fiUSCAQMGsGHDhmatsans1JIkSZIkSZIkSW3G7uXLyTj2WNJ79tzvWiL36Aq1UiU/P5+pU6cCtSFWfn5+8trEiROZN28e+fn5TJkyJVUlNshOLUmSJEmSJEmS1GaUL1tOpxEjGryWlpUFQNcLLmjNklrMwTqqWsK2bdt45plnWLZsGSEEqqurCSHwla98BYDMzEzOPPNM/uM//oPly5fzxBNPtHqNjTHUkiRJkiRJkiRJbUL1jh1Url1Lj6s+2+icYa++QlqnTq1Y1dHlkUceYfr06fz2t79Njp133nmsW7cu+f2GG27gvPPOo1evXqkosVGGWpIkSZIkSZIkqU3YvXw5ANmNdGoBJLp1a61yjkr5+fl873vfqzd2xRVXcMsttyS/Dx8+nOHD9z/TLNVCjDHVNexnzJgxcdGiRakuQ5IkSZIkSZIktaKtv53FljvuYNjCl0nk5KS6nBbx5ptvcuqpp6a6jDajod8jhLA4xjjmw3PTWq0qSZIkSZIkSZKkAyhfvpyMgQOP2kBLR8ZQS5IkSZIkSZIktQnly5aRPaLtbXuntsFQS5IkSZIkSZIkpVzV9u1UbthAp+GNn6eljs1QS5IkSZIkSZIkpVT1rl0UTpsGQKcRhlpqmKGWJEmSJEmSJElKqdKXX6ZyzXtknXYq2aNHpboctVGGWpIkSZIkSZIkKaX2vLUSQmDQgw+S1qlTqstRG2WoJUmSJEmSJEmSmiTGSOmCBcSKigPOK1+5kj2rVzd6fc/Kt8g84QTSsrObu0Q1IJFIkJeXl/wrLCxk/vz55OTkkJeXx6hRo5gwYQKbN29Odan1GGpJkiRJkiRJkqQmKX/jDd6bcS1rPj+dGGOj89Z/7ets/OlNja+zciVZJ5/cEiWqAdnZ2RQUFCT/Bg0aBMC4ceMoKCjg9ddfZ+zYsdx9992pLfRDDLUkSZIkSZIkSVKTVG3cCMDupUvZs2JFg3Mqi4qoKCyk4t13iZWV+4VfNWVlVL63lqxhJ7V4vTo0MUaKi4vp2bNnqkupJz3VBUiSJEmSJEmSpPapasvW5OfyN96k06mn7jen9OWFtXM3b2bFyFH0m/kTek6dCkDJCy9StbEIYiRz4AmtU3Qb8qNV61hWsrtZ1xzRNZt/P+m4A87ZvXs3eXl5AAwePJjHH38cgOeff568vDy2bdtGly5duOWWW5q1tiNlqCVJkiRJkiRJkpqkalttqBUyMiiv69SKlZWQlkZIJAAoe/nlevfsenIuPadOJVZUsOGGG6guLQUgve8xrVh5x7Z3+8EPGzduHHPmzAHgtttu48Ybb+Q3v/lNa5fXqIOGWiGE/wImAZtjjCPqxn4JfBqoAN4BZsQYdzRwbyFQDFQDVTHGMc1XuiRJkiRJkiRJSqXqbdtI5OSQOXgwe958E4AVI0fRbeJEjvvPO4gxUrpwIZmDB1OxejUAGcceC0DJiy9SvXNncq2Mfv1a/wVS7GAdVak0efJkrrjiilSXUc+hnKn1ADDxQ2PzgBExxlHASuD7B7j//BhjnoGWJEmSJEmSJElHl6otW0n06U3WqadQvmIFsaoKgOKnngKgorCQqo0b6XHVVcl7akpKANg152/11ko/xk6ttuSFF15gyJAhqS6jnoN2asUYnwshDPrQ2N/3+foycGXzliVJkiRJkiRJktq6qm3bSO/Vm06nnMqO/NmUv/FG8lqMkbKFtedpdTt/PKULXqL0ueep2r6dmtJSip95hkSPHlTv2EEiJ4e0Tp1S9Rqqs/dMrRgjOTk53HvvvakuqZ7mOFPrWuChRq5F4O8hhAj8NsY4qxmeJ0mSJEmSJEmS2oCqrVvJHjGCTqeeAkDpSy99cG3zFkpfXkh6v35knHACA2fNYv23vkX58jcofuZZ4u7d5P7rdWz5z1+T3gG3HkylkrpuuX2NHz+enftsB9kWHcr2g40KIfwQqAIebGTKx2OMZwAXA9eHEM49wFrXhRAWhRAWbdmy5UjKkiRJkiRJkiRJraB661YSvXuRddJJkJZG6YsfhFp73lpB2cKFdDnrLEIIACRye1G1fTs75zxBev/+5EyeDEB6X7ce1ME1OdQKIXwBmARcHWOMDc2JMW6o+3cz8DjwkcbWizHOijGOiTGO6dOnT1PLkiRJkiRJkiRJraBm925qyspI79WbtOxsMgcPpqygIHl9xyOPUv3++3Q++6PJsfReudQUF1P6/3+OnE9dQnrfvoSMDDL62qmlg2tSqBVCmAh8F5gcYyxrZE6XEEK3vZ+Bi4BlTS1UkiRJkiRJkiS1HdXbtwO1QRVAp1NOgcrK2rF+/Sj++98hBLqcfXbynkRur+Tn7pMmERIJBvzyF+Re84VWrFzt1UFDrRBCPrAAODmEsC6E8EXgLqAbMC+EUBBC+E3d3AEhhCfrbu0LvBBCWAq8AvwtxvhUi7yFJEmSJEmSJElqVVXv7wAg0bMnQPJcLYDun7qkdmzUSDL69k2OJ3Jr55KeXhuCAd0nTiRryJDWKFntXPrBJsQYpzUwfF8jczcAl9R9fhcYfUTVSZIkSZIkSZKkNql6R/1QK+uUUwFI696d7hMvZvt9/0WvGdfWuye9d28Aen/5S61YqY4WBw21JEmSJEmSJEmSPqz6/fcBSPSo69Q65WQA0nv2JHvkCIYtfJlETk69ezqffjqDHv4TnUaMaN1idVRo0plakiRJkiRJkiSpY0uGWj17ALVdWOl9+pDIrT1j68OB1l7ZI0cSQmidItWgEAKf//znk9+rqqro06cPkyZNAmDTpk1MmjSJ0aNHc9ppp3HJJbXbSRYWFpKdnU1eXl7y76c//WnycyKRSH6+8847m71uO7UkSZIkSZIkSdJhq97xPoRAonv35FjuNdeQ1qVLCqvSoejSpQvLli1j9+7dZGdnM2/ePI499tjk9R//+MdceOGFfP3rXwfg9ddfT14bMmQIBQUF9db7yU9+AkDXrl33u9ac7NSSJEmSJEmSJEmHrXrHDhI5OYREIjnW64vX0nPqlBRWpUN18cUX87e//Q2A/Px8pk2blrxWVFTEcccdl/w+atSoVq+vIXZqSZIkSZIkSZKkw1b1/vskevZMdRnt2k+fWM4bG3Y165qnDejOTz49/KDzpk6dyk033cSkSZN4/fXXufbaa3n++ecBuP7665kyZQp33XUXEyZMYMaMGQwYMACAd955h7y8PAA+/vGPc/fddzdr/QdiqCVJkiRJkiRJkg5b9fs7DLXasVGjRlFYWEh+fn7yzKy9PvnJT/Luu+/y1FNPMXfuXE4//XSWLVsGNLz9YGsx1JIkSZIkSZIkSYet+v33ydhnizodvkPpqGpJkydP5tvf/jbz589n27Zt9a7l5ubyuc99js997nNMmjSJ5557jjPPPDNFldbyTC1JkiRJkiRJknRYasrKqNq4kUSPnFSXoiNw7bXX8uMf/5iRI0fWG///2Lvz+KjKs//jnzNr9h0IWQg7BUTCWhBpK25111r3utW1j3tbrfo8tba1VX9P6/a4tVbRWlu1VqW2LmXVKloVDQgiWyAQICF7ZjKTzHZ+f0wyELIQkplMCN/369UX59znPvd9DVrRXHNd97Jly/B4PAC4XC62bNnCiBEj4hFiO0pqiYiIiIiIiIiIiIjIQan4xS8Julykn3pqvEMZ0Fw+F2uq1uDxe+IdSqcKCgq46aabOoyvWrWKmTNncuSRRzJ37lyuvPJKZs2aFYcI2zNM04x3DB3MnDnT/PTTT+MdhoiIiIiIiIiIiIiI7KeldCulp5xC1vcvZ9itt8Y7nAFt5a6VXLP4Gp799rPMGBZu3bd+/XomTpwY58gGjs5+PwzDWGWa5sz956pSS0REREREREREREREeqzmmacxHA6yv//9eIcy4DW0NACQ6cyMcySDg5JaIiIiIiIiIiIiIiLSI/7KShoW/Z2Ms8/Glp0d73AGvLrmOgAyEjLiHMngoKSWiIiIiIiIiIiIiIj0SO2zz0EoRNb3L493KH32/z75f3y468OY7lHfUg9AmiMtpvscLpTUEhERERERERERERGRAwrW11P30kuknXwyjoKCeIfTJyEzxPNfPs/Vi6+O6T51zXWkOdKwWWwx3edwoaSWiIiIiIiIiIiIiIgcUO2f/4zp8ZB95ZXxDqXP3H53v+zT0NJAZoLO04oWJbVERERERERERERERKRbIa+Xuuf/RMq3vkXChPHxDqfPXD5XzPfYUr+Fne6dZDh1nla0KKklIiIiIiIiIiIiIiLdci1bRrCujqzLLot3KFHR2NIYuQ6ZoaivHwwFOXPRmaypXjNgk1oVFRWcf/75jBkzhkmTJnHyySezceNG1q1bx4IFCxg/fjzjxo3jl7/8JaZpAlBZWcmpp57K1KlTI+988cUXFBcXU1xcTFZWFqNGjaK4uJjjjjsu6jGriaOIiIiIiIiIiIiIiHTL9a/FWHNySJo1M96hRMW+lVo13hqGJA2J6vpV3qrI9UBMapmmyVlnncWll17Kiy++CEBJSQmVlZVcdtllPPHEE5xwwgl4PB7OPvtsHn/8ca677jruuusujj/+eG666SYA1qxZw5QpUygpKQHgsssu49RTT+W73/1uTOJWpZaIiIiIiIiIiIiIyGGu+ne/p+bppzt95t+9G/d775F63LEYVms/RxYbjb69lVq7mnZFff2KporIdZozLerr99Xy5cux2+1ce+21kbHi4mI2btzIvHnzOOGEEwBISkri0Ucf5b777gNg9+7dFBQURN458sgj+zVuVWqJiIiIiIiIiIiIiBzGQj4fNb/7HQAZ555LzR+eJvuK72NNCydjdt16G4bFQtYll8YzzKjat1Jrt3s3U4dMjer6lZ7KyHVDS0PXE9+6HSq+iOre5E6Bk+7rdsratWuZMWNGh/F169Z1GB8zZgxut5vGxkauu+46zjvvPB599FGOO+44Lr/8cvLy8qIafndUqSUiIiIiIiIiIiIichjzfPwJIY+HkMdD1cOPUPO739H0/vtAuE2dd/VqMs49F+foUXGONHr2rdSqba6N+vr7VmrlJOZEff1YMU0TwzA6fWYYBieeeCKlpaVcddVVfPXVV0ybNo2qqqpO58eCKrVERERERERERERERA5j7uXLMRISMJxOGl5/HYBAXR0AIZcL0+/HNnRoPEOMun2TWt6AN+rrVzRVkGhL5OFjHmb6sOldTzxARVWsTJ48mVdeeaXT8ffee6/dWGlpKSkpKaSmpgKQlZXFhRdeyIUXXsipp57Ke++9x9lnn90vcatSS0RERERERERERETkMGWaJu7ly0meOxfnyJGE3G4AgrXhpFagugYAW0523GKMhcaWRtIcaRgYeAKeqK9f6akkNzmXuXlzcVqdUV+/rxYsWEBLSwtPPfVUZOyTTz5h3LhxvP/++yxZsgQAr9fLjTfeyG233QbAsmXL8HjCv18ul4stW7YwYsSIfotbSS0RERERERERERERkUHINE2q/u9RWkpLu5zTsnET/l27SFlwDPb8/Mh4sLVSK1hTDYAte3AltVx+F2mONJLsSXj80U9q7XLvIjcpN+rrRothGLz22mssXryYMWPGMHnyZO6++27y8vJYtGgR99xzDxMmTGDKlCnMmjWL66+/HoBVq1Yxc+ZMjjzySObOncuVV17JrFmz+i1utR8UERERERERERERERmEAlVVVD/2GA3/eIOx77zT6Rz38uUApHzzm/i374iMB+tbK7VqwpVa1uxD51yonmhsaSTNmUZLsCXq7QfLGsv4suZLrpl6TVTXjba8vDxefvnlTp+tWLGi0/Fbb72VW2+9tcs1n3322ShE1jVVaomIiIiIiIiIiIiIDEKhxtZzowLBLue4ly8nYcoU7EOHtqvUCgzy9oMun4tUR2q4UivK7Qef//J5bBYb5004L6rripJaIiIiIiIiIiIiIiKDUqC2FgAjMaHz59XVeNesIeWYbwF02n4wUFMNFgvWjIzYBtuPWoItbGnYQl5yHom2RLz+6FVq1TXX8frm1zltzGnkJA6u6raBQO0HRUREREREREREREQGoWBrtZXF2TGp5Vq6lMZ33gHTJPXYY4HOk1rB6hqsWVkYVms/RNw/lm1fhsvn4uTRJ1PWWBbV9oMvbXiJlmALl0y6JGpryl5KaomIiIiIiIiIiIiIDEKB2nDrQCOhfVIrUF1N+XXXA5B28skkTJgAgL0gH0dREdht+Mq2Y5omgZoabFlZ/Rt4jL2++XXykvOYnTubZ+3P0tjSGJV1W4It/OWrvzA/fz5jMsZEZU1pT+0HRUREREREREREREQGobZKLcNhj4x5V6+md3yRdgAAIABJREFUYdEiABJnzmDYT/8n8szicDDmnbfJ+M7Z4Pez67af4F6+HOfYwZOgqWiq4MNdH3L62NOxGBaSbEl4/NE5U2vZ9mXUNtdy6eRLo7KedKRKLRERERERERERERGRQSjYeqaW6fOHfzVNdt7yQ/y7dgGQ/9vfYsvM7PCetXWs8e23ybrsMnJ+cG0/RRx7f9/yd0xMTh9zOkD4TK0otR/c4doBQPHQ4qisJx2pUktEREREREREREREZBAK1IWTWiFPuBKp+YsvIgktANvQoZ2+l3rsAnL+678Y889/MOwnt2FNS4t9sP3ANE0WbV7EzGEzKUwtBAhXagWiU6lV11xHsj0Zp9UZlfViyWq1UlxczNSpU5k+fTorV64EYNu2bRxxxBEd5l922WW88sorANTW1jJt2jQWLlzYrzGDkloiIiIiIiIiIiIiIoNSsKYtqdUEQOPb77R7bhhGp+9Z09IYcuMNOEaMiG2AMeAL+vjDF3/A5XN1ePZO2Ttsd23nzLFnRsYS7YlRaz9Y01xDVsKhcf5YYmIiJSUlrF69mnvvvZc77rijR+81NDRw4okncvXVV3P55ZfHOMqOlNQSERERERERERERERmEgvtUapmmievtt0k+6igA7IdgwqonPq74mIc/e5gblt3Qbnx9zXpuffdWxmWO4/ii4yPjSbYkfCEfgVCgV/uZpsmU56bwwKoHqGuuO2SSWvtqbGwks5M2lPtzu92cdNJJXHjhhfzgBz/oh8g60plaIiIiIiIiIiIiIiIDULCxkdpnnyP7mquxOA++pV2gugYAs8lD89q1+HftIue66xj64x9hzcmJdrgDQkNLAwCrKlextWEro9JHcclbl1DaUArAH074A0n2pMj8JFv42hvwkupIPej9XP5wRdjCtQsZnzmevJS8g3r//o/v56varw563+58Letr/GT2T7qd4/V6KS4uprm5md27d7Ns2bIDrvvDH/6QK6+8kltuuSVaoR40VWqJiIiIiIiIiIiIiAxA7nffpfrxx3G9886BJ+8n1NJCsK4OLBZCXi+Nb70NNhupxy4gYdIk7F2cpzUQhcxQj+fWNddFrl/e8DINLQ18vudzGloaGJM+pkMlVaI9EaBHLQinPDeFRz57pN1Ylacqcl3bXEt2QnaPY42ntvaDX331FW+//TaXXHIJpml2+86CBQtYtGgRe/bs6acoO1KlloiIiIiIiIiIiIjIAGKGQuy+4w6CDY0ANPzzn6SffvpBrRGorATAMXoUvs1baHj9dZLnzsWakRH1eGNph2sHZ7x+Bi+e+iLjM8cfcH5tcy1Ww8pxRcexaPMiFoxYEHmW7kzvML+tUssT6D6pFQwFAXjqi6e4cfqNkfFKT/j32WJYqG+uP+j2gweqqOoPc+fOpbq6mqqqqm7nnX/++Rx99NGcfPLJLF++nNTUg69s6ytVaomIiIiIiIiIiIiIDCD+XbtpWPR33CtWAND0wUoCdXXdvwSYgQCeTz/FNE38uysAcI4aDUCwtpa0b58Ys5hjpayxDH/Iz9aGrT2aX9tcS4Yzgwu+dgEuv4snVz8JQKYzk1tmdGybt2/7we509bytUitkhgiYATITDnw21UDz1VdfEQwGyc4+cJXZzTffzLHHHstZZ52Fz+frh+jaU1JLRERERERERERERGQA8W3ZHLk2EhMhEMD1r8UHfM+1ZAll37uY+pdeJlAZTmo5xoyOPE+ePz/6wcaY2+cG9p6V1ZXa5loafY3UNdeRmZDJ9KHTGZc5jo8rPsbAYPE5iykeWtzhvbbztZr8Td2u32VSy9u+uulgK7Xipe1MreLiYs477zyee+45rFYrABs2bKCgoCDyv7/+9a/t3r3//vspLCzk4osvJhTqeWvIaFD7QRERERERERERERGRAaRlS2nkOmnaNPy7dtH4z3+Sed65APjKy6m89z6G3nwTznHjInObv1wPQOX995N20kkAOEfvTWodSudotWn0Nbb7tSvffOmbJFgT+FrW18hOyMYwDM6fcD6//OiX5Cbn4rQ6O30v1RFuodeWPOvKvu0JvQEvibbwWVx7PO3PlzpUKrWCwWCn4yNHjsTv93cYP+ecc9rdL1y4MCZxHYgqtUREREREREREREREBpCWfSq1bMOGkXbKKXg++QR/ZTiB4v38c9xLl7Ltwoto+vBDgu4mTJ+Plo0bsQ0fjuFw0PDqq1jT07G2tpSzpnc8T+pQ4PK5gO6TWqZpAtAcbGZb47ZIYumU0aeQbE9mROqILt9tO2erwdd9Jdi+lVo7XTsj123tB9sUphZ2u470jZJaIiIiIiIiIiIiIiIDiG/zlsi1bdhQ0k45GUwT19tvARCsDydgrJmZbL/qajYddRS7f3oXLRs3kjRtGsPv/ln43dxcDMMAwDFyZP9+iCiJJLVauk5q7duasL6lPpLUSrYn88A3H+DmGTd3+W66I73DGp3x+PdWapW7yyPX+1dq5afkd7uO9I2SWiIiIiIiIiIiIiIiA4SvfCfedetwTpoIgH3YMJyjR+OcOJGGN98EINgYTsCMfOlFUr7xDUyfj4ZFi/Dv2oVz/HjSTjqJrCu+T9rJJ2PPywMg8+KL4/OB+sjtD7cF7K5Sa6d7Z7v7BGtC5Pqo/KM4IueILt9NtidjNawHTmrt035wd9NuAIKhIFsatjA0aW9bR4uhtEss6XdXRERERERERERERGSAqH3mGTAM8u69F+ekiSTOmAFA+ikn07x6Db4dOwg2NGBJScGWmUnh448x7v1/YzjDZ0YlTpsGwLBbbyXnmqtxjBzJhNUlpJ96Stw+U19EztTqplJrh3sHAD+Z9RMAxmaO7fH6hmGQ7kw/YFJr3/aDdc11AGyu30yTv4ljCo8BICcxp8f7Su/Y4h2AiIiIiIiIiIiIiIiAGQjQ+OabpJ1wAgkTJjD61Vcjz9JOOok9v/ktjW++RaihAWtaWuSZLSeHcR+8D4EA1oyMDutaWhNeh6K29oPdnXnVdsbVWePO4qRRJ0XaD/ZUmiPtgGdq7dt+sLa5FoDVVasBmDN8Di9teImRaSMPal85eEpqiYiIiIiIiIiIiIgMAN7PPydYX0/q8cd1eGbPz8cxdgzeNWsgGMSSkd7uuTUlpb/C7FduX2v7wW4qtcrd5WQ6M0m2J5NsTz7oPQ6mUivdmd4uqZWVkMWCEQu4+sirOW/CeQe9txwctR8UERERERERERERERkAXEuXYdjtJB89v9PnjhFF+LeXEWxowJqW3umcwaatUqvbM7VcO8lPye/1Hj1JarWdqZWfkt8uqVU8pBiLYeGGaTe0O1trIKupqaG4uJji4mJyc3PJz8+P3BuGQXFxMUcccQSnnXYa9fX1kffWrVvHggULGD9+POPGjeOXv/wlpmlimiY5OTnU1YXbMu7evRvDMHj//fcj7w4ZMoSampo+x66kloiIiIiIiIiIiIhInJmmiWvZMpLmzMGa0nm1kWPECHw7ygnW12NNP7ySWm6/m0Ao0Omccnc5BakFvd4j3ZHebdIM9lZq5SXnUdtcS21zLWWNZUwdOrXX+8ZLdnY2JSUllJSUcO2113LLLbdE7pOTkykpKWHt2rVkZWXx2GOPAeD1ejn99NO5/fbb2bhxI6tXr2blypU8/vjjGIbB17/+dT788EMAVq5cybRp01i5ciUAGzZsICcnh+zs7D7HrqSWiIiIiIiIiIiIiEic+TZvxr99O6nHLuhyjn1EIWZzM76tWw+fpJbfhd1iD1+3Jrj2FQwF2d20O/aVWn4PibZEshOzqWuuY03VGgCKhxT3et+Bbu7cuezcGT6v7M9//jPz5s3jhBNOACApKYlHH32U++67D4B58+ZFklgrV67khz/8Ybsk11FHHRWVmHSmloiIiIiIiIiIiIhInLmWLgMg5Ziuk1qOEUWRa2t6Wsxjijd/yI834GVsxlg212+myltFZkJmuzl7PHsIhALkp/Y+qZXmTMPtd+MP+SMJtP15Ah6SbElkJWRR31LPqspV2Awbk7In9XpfgIpf/5qW9V/1aY39OSd+jdw77+zTGsFgkKVLl3LFFVcA4daDM2bMaDdnzJgxuN1uGhsbOeqoo/jFL34BwMcff8zPf/5zHnroISCc1Jo3b16f4mmjSi0RERERERERERERkThzLVtGwpQp2Id1fS6To2hE5PpwqNRy+9wATB0SbvG3uW5zhznl7nIAClL61n4Q6LZayxvwkmhLJCshC4AVO1YwMXsiCbaEXu87EHm9XoqLi8nOzqa2tpbjjz8eCLfHNAyj03cMw2D27Nl8/vnnNDU14ff7SUlJYfTo0WzevFmVWiIiIiIiIiIiIiIig4W/cg/Na9Yw5Oabup1nHz48cm0kJMY6rLjzBDwATM6ZzKLNi9hc30lSy9X3pNbojNEAfFnzJd8o+Ebnsfg9JNmTIkmtbY3b+N7E7/V6zzZ9raiKtsTEREpKSmhoaODUU0/lscce48Ybb2Ty5Mm899577eaWlpaSkpJCamoqAGPHjuWZZ55h+vTpAMyZM4c333yTPXv2MGHChKjEd8BKLcMwnjEMY49hGGv3GcsyDGOxYRibWn/N7OLdbxuGscEwjM2GYdwelYhFRERERERERERERAYR75rVACQfoJrFsNnI+9//BcAxcmSsw4o7jz+c1Ep3pFOUVsSmuk0d5pS7y7EYFnJTcnu9z9QhU7FZbHxa8WmXc9oqtUamj9z73tCpvd5zoEtPT+eRRx7hN7/5DX6/n4suuoj333+fJUuWAOGKrhtvvJHbbrst8s68efN46KGHmDt3LhA+k+vhhx9mzpw5XVZ5HayetB98Fvj2fmO3A0tN0xwHLG29b8cwDCvwGHASMAm4wDCMvjWXFBEREREREREREREZZEKNLgCsWdkHnJt+2qmMW/kByfOi085tIGur1EqyJzEucxyb6jsmtXa6d5KblNvlWVg9kWhL5MicI/mk4pNuY0myJTE+czwnjzoZgGlDpvV6z0PBtGnTmDp1Ki+++CKJiYksWrSIe+65hwkTJjBlyhRmzZrF9ddfH5k/b948SktLI0mt6dOnU15eHrXWg9CD9oOmab5nGMbI/YbPAL7Vev0csAL4yX5zZgObTdMsBTAM48XW977sdbQiIiIiIiIiIiIiIoNMyN2a1EpN6dF8W1ZWLMMZMNoqtZJs4aTW29vepsnfRLI9OTKn3FVOQWrvWw+2mZU7i6e+eAqXz0WCLYGfffAzrpxyZaQ1ocvnYmhi+Lyze+ffy03Tb2JY8rA+7xtvd999d7t7t9vd7v6NN96IXE+ZMoUVK1Z0udY555yDaZqRe6fTSUtLS1TibNOTSq3ODDNNczdA66+dnVyXD+zY5768dUxERERERERERERERFoFXeFEgiU5+QAzDy/7VmqNzRgL0OFcrZ3uneSn9D31MCt3FiEzxOd7PmdT3SbeKH2D294Lt9ZrDjSzvXF7JMFlMSzkpeT1eU85eL1NavVEZw0SzU7GwpMN42rDMD41DOPTqqqqGIYlIiIiIiIiIiIiIjJwhFwujKQkDNsBm6sdVvav1ALYXBdOalV7qzn3jXOp9lZHJak1dchU7BY7n1R8gtsXTjI2+hoB2Fi3kaAZZFKWTliKt94mtSoNwxgO0Prrnk7mlAOF+9wXALu6WtA0zd+bpjnTNM2ZQ4YM6WVYIiIiIiIiIiIiIiKHlqDbhTWlZ60HDyeRpJY9ifyUfBJtiZFztT7a/RHra9cDRKX9YIItgSOHhM/VqmmuAcDtDye31teE95mUraRWvPU2qfV34NLW60uBRZ3M+QQYZxjGKMMwHMD5re+JiIiIiIiIiIiIiEirkLsJS2pqvMMYcCLtB21JWAwLYzPGRiq12qqpgKi1ApyVO4v1tevZ1rit3R5f1n5JhjOD3OTcqOwjvXfApJZhGH8BPgQmGIZRbhjGFcB9wPGGYWwCjm+9xzCMPMMw3gQwTTMAXA+8A6wHXjZNc11sPoaIiIiIiIiIiIiIyKEp5FKlVmfakloJtgQAxmaMjVRqVXoqARifOZ7xmeOjst/s3NmEzBCLyxYDYGLS6Gvky5ovmZQ9CcPo7NQl6U8HbNBpmuYFXTw6tpO5u4CT97l/E3iz19GJiIiIiIiIiIiIiAxyQbcba1pavMMYcDx+D4m2RCxGuD5nXOY4Xtv8GtXeaiqbKslLzuNvp/8tavsdOeRIHBYHm+o2RcY2121mc91mLp18aTdvSn/pbftBERERERERERERERGJgpDLhUWVWh14Ah6SbEmR+7EZYwHYXL+ZSk8lw5KHRXU/p9XJ1KFTAbAaVgBW7FhBwAwMuvO0tm3bxhFHHNFu7O677+Y3v/kNl112Gfn5+bS0tABQXV3NyJEjD/hef1BSS0REREREREREREQkjoJuF9ZUJbX25/F7SLLvTWqNyxwHwKa6TeGkVlJ0k1oAs4bNAmBKzhSASCvCidkTo77XQGa1WnnmmWfiHUYHSmqJiIiIiIiIiIiIiMRRyOXGkpIa7zAGnP0rtXISc8hKyGJj3UYqm2KT1JqZOxOAwtRCMpwZlLvLSXWkUpBSEPW9BrKbb76ZBx98kEAgEO9Q2jngmVoiIiIiIiIiIiIiIhIbpt+P2dyMRZVaHXj9XpLtye3Gpg+dzpKyJTQHm8lNzo36nlOHTCXVnkphaiF5KXnUt9QzKWsShmFEfS+Af7+8keod7qiumVOYwvxzx/dpjREjRnD00Ufz/PPPc9ppp7V7tmXLFoqLiyP3FRUV/PjHP+7Tfj2lpJaIiIiIiIiIiIiISD+rfeEFCAZJa00YWFWp1YEn4CHNmdZu7JwJ57Bk+xKSbEmcMPKEqO/psDp49YxXyXBmsKl+E1/WfDnoztMCukzS7Tt+5513cvrpp3PKKae0mzNmzBhKSkoi93fffXdMYuyMkloiIiIiIiIiIiIiIv3IDASofuT/sA0dQsoxxwBgSVVSa38ev6dDNdac4XM4bsRxzC+Yz9CkoTHZt23P/JR8ILbnafW1oqq3srOzqaurazdWW1vLqFGjIvdjx46luLiYl19+ub/D65LO1BIRERERERERERER6UeeTz8l2NBAYE8VwdpaAKwZ6XGOauDZ/0wtAIth4cFjHuQ7474T8/2L0ooAOCL7iJjv1d9SUlIYPnw4S5cuBcIJrbfffpujjz663bz//u//5je/+U08QuyUKrVERERERERERERERPqRa/ESAIINDfi27wDAPmxYPEMacEzTxO1zk2RPOvDkGDltzGmMzRhLYVph3GKIpT/+8Y9cd911/OhHPwLgZz/7GWPGjGk3Z/LkyUyfPp3PPvssHiF2oKSWiIiIiIiIiIiIiEg/MU0T19KlYLeD30/z2rUA2JTUamd3025cfhej00fHLQan1Unx0OK47R9rkyZNYvny5R3Gn3322Xb3r776auR65MiRrG39e7ZNf56ppfaDIiIiIiIiIiIiIiL9pHntWgIVFaSdeCIA3i++wLDbsWZmxjmygaVkTwkAU4dMjXMkMpAoqSUiIiIiIiIiIiIiMeMrLyfk8cQ7jAHDtXgJWK1knHsOAM1ffIFt6FAMi35cv6/VVatJtCUyLnNcvEORAUT/LxERERERERERERGRmNly3PGUXX55vMMYMFxLlpA0axbOceFkjen3q/VgJz7f8zlTcqZgs+gUJdlLSS0RERERERERERERiQnT7wegefWaOEcyMLSUluIrLSX1+OOwZmRg2O0A2HOV1NpXtbea9bXrmTN8TrxDkQFGSS0RERERERERERERiYmg2x25Nk0zjpEMDN6S1QAkzz0KwzBwjBkDgDXj0D1P690d79Loa4zqmh/u+hCAo/KPiuq6cuhTUktEREREREREREREYiLUuDfZEayujmMkA4OvrAysVhyFBQAUPPwQSbNnk3LMt+IbWC/VNddx/bLr+dGKH0V13ZW7VpKVkMXErIlRXVcOfUpqiYiIiIiIiIiIiEhMBF17K7WaN2yMYyQDg6+sDHtBfqTtoKOoiKI/PkfK/Plxjqx33L7wX981VdFrLxkyQ6zctZI5w+dgMZTCiBWr1UpxcTFHHHEE55xzDh6Pp9vxyspKLrzwQkaPHs2MGTOYO3cur732Wr/Hrb8jRERERERERERERCQmQm5X5NpXti1+gQwQvrIyHEVF8Q4jalz+8F9fT8ATtTU31G6gtrmWefnzoramdJSYmEhJSQlr167F4XDw5JNPdjlumiZnnnkm3/jGNygtLWXVqlW8+OKLlJeX93vcSmqJiIiIiIiIiIiISEwEXXuTWsH6+jhGEn+mabYmtUbGO5SoaavUiqYPdn0AwFF5Ok+rv8yfP5/Nmzd3Ob5s2TIcDgfXXntt5FlRURE33HBDf4YJgK3fdxQRERERERERERGRw0Jon/aDwYaGOEYSf4GqKkyPZ1BWakXTyl0rmZA5gZzEnKivPRAtf/b37CkrjeqaQ4tGc8xlV/dobiAQ4K233uLb3/52l+Pr1q1j+vTpUY2xt1SpJSIiIiIiIiIiIiIx0dZ+0JKScthXavm2bQMYVEmtfSu1PP6+tyD0+D18vudzjspXlVaseb1eiouLmTlzJiNGjOCKK67odnxf1113HVOnTmXWrFn9HbYqtUREREREREREREQkNtraD9oLCpTUKisDwDFyECW1/HuTWhVNFYzOGN2n9d4rf49AKMC8vMPnPK2eVlRFW9vZWT0Znzx5Mn/7298i94899hjV1dXMnDkz5nHuT5VaIiIiIiIiIiIiIhITIZcbIykJW3Y2wfrDu/2gv6wM7HbseXnxDiVqGn2NkeuyxrIDzg+ZIR4veZwdrh0dnrl9bh5Y9QBj0scwfdjAaHUnYQsWLKC5uZknnngiMubx9L0yrzeU1BIRERERERERERGRmAi6GrGmpGDNyCDYoEotR2EhhtUa71Cixu1zYzEsJNuTWb5jebdzPX4Pn1V+xhOrn+Cej+7p8PyulXexx7OHu4+6G7vFHquQpRcMw+D111/n3XffZdSoUcyePZtLL72U+++/v99jUftBEREREREREREREYmJkMuNJTUVa3r6YVOp5Vm1CufYsVjT09uN+7aVDarztCDcfjA7IZs5w+ewZPsSfjrnp9itnSekTnvtNPZ49wDgtDrbPavyVLG4bDFXTbmK4qHFMY9bwO12H9T48OHDefHFF2MZUo+oUktEREREREREREREYiLkdkUqtUKNjZjBYLxDiplAdTUtpVspu+RSahYubPfMDAbxbd8+6JJaLp+LVEcq3yr8Fi6fi411GzudFzJDkYQWQIYzo93zKm8VAJOzJ8cuWBkUlNQSERERERERERERkZgI1NeHK7UyMsA0CTY2HvilQ5Bpmuy4+hq2XXABBIO0fLWh3fPmL7/EbGkh4Ygj4hRhbLh9blIcKYxOHw10fa5Wuau83X1DS/uqvRpvDQDZidkxiFIGEyW1RERERERERERERCTq3B98QMuX60mcPg1rRrgVX7D+0DxXy/3BB5g+X5fPvatW0fzll4Qawsmalo3tK5aaPvwIgOQ5X49dkHHg9rtJtadSmFaIgdFlUqutgivdGf77oMG3X1KruTWplaCklnRPSS0RERERERERERERiaqQ10vF3T/HUVRE9hVXhCu1ODSTWr6yMnZccSU7f/TjLufU/umFdvf+XbsI7nM2keejD3GOH48tJydmccaDy+cixZGC0+pkePJwylxdJ7UshoXF313MsSOObVepVd9cz7aGbcDhVallmma8QxgQDvb3QUktEREREREREREREYmq6sefwL9jB7k//zkWpxPbsGFAONlzqAnUhKuIXIsXE2pu7vDcv3s3rsWLSf7mN9qN+zZvDr9fVUXTx5+Qst/zwcDtd5NiTwFgRNoIyhq6TmqNSB1Boi2RDGcG9S17k5tXL76ap9c+TaItkSR7Ur/EHW8JCQnU1NQc9okt0zSpqakhISGhx+/YYhiPiIiIiIiIiIiIiBxmmjdspGbhQtLPOivSbs9RVASGgW/rtvgG1wvBurrIde3CheT84Aftnte9+BKYJrl33knphx9hGzYM/44dtJRuJbG4mIZFiyAQIP2s7/R36DFlmiaNLY2kOdMAKEor4s2tb2KaJoZhtJu7sW4jE7MmAuEWhA0tDZimyXbXdtbXrgcgKyGrfz9AHBUUFFBeXk5VVVW8Q4m7hIQECgoKejxfSS0RERERERERERERiQozFKLirruwpqYy9LZbI+OWhATseXn4tm6NY3S905bUSjjySKqf/B1pp52Go/WH8KHmZupfeomUY44Jt1q86iocIwrZ9ZPbCVRWYJom9a/8jcSZM3COHhXPjxF1zcFmfCEf6Y7wOVlFaUW4fC7qW+rJTMiMzPP4Pexw7eCMMWcAkOHMwB/y4w14Wbp96d71Ah2r4AYru93OqFGD6++H/qL2gyIiIiIiIiIiIiISFd7Vq/GuXs2QW27GlpnZ7plj9GhatpbGKbLeC7QmtfLuvw+sVirv+VXkWdMHHxCsryfzggsAGHLD9aSfcQbWrCz8uyvwrlqFb9s2Ms7+blxij6XGlkaAdpVaAGWN7VsQbqrfBMC4zHFAuFILoL6lnqXbl5LqSAWgprkm9kHLIU9JLREREREREZEBzldWxvbvX0FALWpERGSAC9aFz0pKmDipwzPHqJH4tm7DDIX6Oaq+CdbXYzidOEeNYsh11+FesQLXsmUANK9bBxYLSTOmt3vHnpuLv2I39X99BUtKCmknnhCP0GOqwdcA0K5SCzomtTbWbQRgfOb48PzWpNbm+s2sqVrDRRMvAqAwtTD2QcshT+0HRURERERERAa42j8+T9PKldS/+ho511wd73BERES6FGpyA2BNTenwzDl6NKbXS6CyEvvw4f0dWq8F6+qxtladZV1yMfV//Ss1Tz9DqKkJ15KlOEaNwpKY2O4d2/DhtKxfj6cT3J9vAAAgAElEQVT2E9LPPANLUlI8Qo+phpbWpFZrkiovJQ+rYe2Y1KrdSLI9mbyUPCDcfhDgrxv/CsCJRSfy9dyvU5Da83OV5PClSi0RERERERGRASzU0kLDP/4BQNWDD1L1yCNxjkhERKRrIXc4qWVJ6ZjUcowMnyF0oHO1AnV1mD5f9IPrpWBdXSSpZdjtOCd+jUBFBbtuvY2WjRtJmNSxKs2em4t/1y7M5mYyvntOf4fcLyLtBx3h9oN2i538lHzKGssImSEWrl3ITvdONtZtZFzGOCxGOB0xPnM8NsPGih0rKEorYkzGGGbmziQ3OTdun0UOHUpqiYiIiIiIiAxgrsVLCDU0kHnhhQBUP/4Ept8f56hEREQ6F3R1k9QaHU5qtZR2n9TaNPcoym++JfrB9UL175/CvXw51oz0yJg1NQ1/RUXk3p7bMRljHx4ec37tayRM7pj0GgwafeGkVlulFoRbEG53bWfZ9mU8sOoBHlz1IJvqN0VaDwKkOlKZkTsDgAWFCzAMo38Dl0OakloiIiIiIiIiURDyeGjZtCnq69b/7RXs+fkM+5//Zvivfw2Af9euqO8jIiISDSG3G+x2DKezwzPbkCFYkpO7rdQKtVZouVvPrIq3qgceAMCakREZs6alQjAYvs7MJPPCCzq8ZxsWTmplfPe7gzZps3/7QQgntcoay1i4diEA62vW4/K52iW1AI4pPAaAY4uO7adoZbBQUktERERERESkj7yrV1N61lmUnnkW/srKqK3rKy/H8+FHpH/nLAyLBcfI8AHsvrKyA7wpIiISHyG3C2tycqeJHMMwcIwa1X1Sq7V94UBgmmbk2r9z7xdKLCmpkeu8++7t9HywlPlHk3XpJaSfeWZsg4yjBl8DVsNKkm3veWFFaUV4A17WVK8BYLtrOwDjs9ontc4dfy5PnfAUU4dM7b+AZVBQUktERERERESkl8xAgKrHHmPbhRcRrKuHYJDmdeuitn7Dq6+CYZBx1lkAOEaMAMC3TUktEREZmIJud6etB9s4Ro+ipbuklssVi7B6JdTkiVwnFu9NvljSUve5Tuv0XWtGBsPuuANrSnLsAoyzxpZG0p3p7RKYI9JGRK7nDJ8TuZ6U3b4Fo91qb/dcpKeU1BIRERERERHppfKbb6b6/x4l7ZSTGf3GG2Cx0Lzuy6it3/jOv0ieOwd7Xh4A1uzscNsmVWqJiMgAFXK5saSmdvncOWoUgd27CXk8nT5vO5NrIAjW1wMw5OabGfbjH0fGrft8PmsXSa3DQYOvgTRH+89flFYUub540sUA/ProX+O0dmxHKdIbtngHICIiIiIiInKoMQMBWjZtwr1kKdlXX83QH4YPs3eMHkXzl9FLagX27CH5qKMi94Zh4CgqUlJLREQGrJDbjTW56+okx6jRAPi2bSNh0qQOz/dtP2j6/Rh2e/SD7KFgXR0AznFjMRyOyLhFSS0gfKZWmrP9589NysVhcWC1WDk6/2g+/d6nSmhJVKlSS0REREREROQgVT/+OFvP+g4AmRddFBlPmDQpakkt0+cj5HJhzcxoN24vKMC/c2dU9hAREYm2A7YfHDUKoNMWhA1vvEH1k09G7gO1tdEP8CC0VWpZMzPbje+byOqq/eBgFwwF2VS3ifzk/HbjVouVEWkjGJsxFothUUJLok6VWiIiIiIiIiIHqfFf/wIg69JLsA8bGhlPmDSJxr+/QaC6GltOTof3mj76CMPpJGnatAPuEWj9QZptvx+k2Yfn4v73vzFNs90ZFiIiIgNByO3GMnZsl88dI4vAMPCVtk9qBevrqbj754SamiJjgapq7MOGxSzWA4kktTLaf8GkLWlnOBxYnIdn0ubzPZ9T01zDghELOjy78+t3YrfEr8JOBjdVaomIiIiIiIj0kPvdd9n49Tn4Nm9hyE03MuyOO9o9b2uj1Lx+fWQs2NpGyTRNdt58C2UXfY/qJ3+HGQp1u1ewrvNvh9uGD8f0egk1NPT584iIiERbyO3GktJ1+0GL04k9Px/ffpVaNQufbZfQAghU7YlJjD3V1n6wq0otS/rhWaUFsLhsMU6rk/kF8zs8m5U7i+KhxXGISg4HSmqJiIiIiIiI9IB37TrKb/khwdZkUtLs2R3mJEycCEDzui8xQyEq77ufjbO/jvv9D/Dv2EGwvh57QQFVDz1E+fU3EPL5utwv8oO0jP0qtXKHA+CvqIjK5xIREYkW1/LlBOvqsHbTfhDCLQhbtu1NagXq6qh7/nmM/aqeApVxTmrV14NhdDg3y9p6ppY19fBMaoXMEEvKljAvbx7J9q4TmCKxoKSWiIiIiIiIyAH4yney4wfXYsvIoODxx0k/+zskHnlkh3nW1FQcRUV4Vq1i149vpfbZZzGcTvbcfx/e1asBKHjoQYbedhvuZctofPPNLvcM1rcmtbI6th8E8O/aHa2PJyIi0mchj4fyH/wXAJakpG7n2nNzCeypitzXLnyWkNdL9pVXRsYMux3fju2xCbaHgvV1WNLSMKzWduNGUhJYrR2SXYeLNVVr2OPdw/Ejj493KHIYUlJLRERERERE5AB23347ZouPwt//jtQFx5D3q19h2Ds/KyLlmGNo+ve/aXzzTYbe+mNy/+e/adm0mfpX/oaRkIBz3DiyLr8MW95wdt9+BzuuubbTddoqtfY/U8sWqdRSUktERAYO7xdr995YrF1PBGxDhhCsrcUMBsNVWn/6E2knfZvkeUdF5tiLRuDbVharcHskWF+Pbb/ztAAMw8CakoIlLTUOUcVHMBTk9n/fzpqqNfyr7F/YLXa+VfCteIclhyFbvAMQERERERERGchCLS14SkrI/v73cXZz8H2bobf+GFvuMOx5eaSdcAL+nTsB8PznPyTNmhVJhmWecw5VDz+C+913CdTWYsvKardOINJ+sP0P02w52WCzEdit9oMiIjJweEtKABh+772kHn9ct3NtQ3IgFCJQU0PLxk2EPB4yzj0P29ChkTmOkSPxbd0Wy5AjAnV1mH4/9n32DzY00PSfjyPnZe7PNnRou3gHu7qWOv5Z+k/e3vo2Q5KGMC9vHimO7ttMisSCKrVEREREREREutGyYQMEAiQcMblH8w2rlezLLiPthBMAsOXlRZ6lnnhi5Dr7qqsYdued4T2++qrdGqbPR7C2DktqaoeKMMNqxVFYiGv5MkIeT68+k4iISLR5S0pwjBxJxllnHvBMLWtODgC1zz1H89ovALBlZ2EbMiQyx1FUhH/7dsxgMHZBt9r905+y8+ZbCLW0YIZCAOx58EGCdXUMufmmTt8peOIJhv7oRzGPbaBoCbYAEDSDVDRVqPWgxI2SWiIiIiIiIiLdaF63DoDEyT1Lau3PMAysQ8I/vEs78YS94zYbaaedGt5j/d6kVv0rr7Bh5iyaPvoQ636tB9sMu/MOfFtK2X3XzzBNs1dxiYiIRItpmnhLSkgsLu7RfHtr8qr26WeoeuhhACypqViczsgcx8iRmH4//t3Rbbfb2Z+bvk2b8W3ZwoapxVT+6td4S0qof+llsi7+Xpd//jsK8ju0CB7MvH5v5NpmsfHNgm/GMRo5nCmpJSIiIiIiIgel/vXXqbjnV4dNMsW7bh3WjIx2FVcHq+jZZ8n77W/afQMdwudl2YYPp7m1Uss0TaoefgTT58O3eQvOUaM6XS9l/nyG3HQjjf/4B3XP/6nXcYmIiESDf/t2gnV1PU5qWXOGdBxL3Xs+lT0vD+fIkQD4tm6NSowAu3/+c8rOv6Ddv8OYwSD+XbsINjQAUPfCC+y+++fYhg4l54Ybo7b3oa452By5njN8DunO9DhGI4cznaklIiIiIiIi7fjKd9KycQOG00nKvHkdnu++/Y7whWniHDsGa2YWqccdi2EbnP+J6f3kUxKnTsUwjF6v4RwzBueYMZ0+SzziCDz/+Q+m30/NMwsJVFWRcf55OAoLSf/Od7pcM/vqq/F+sZbKe+/FtWwZI57+A4bV2usYRUREeqvtPK3EaT1LatlaK5gjrFaMpCQAxv/nIwy7nZA3XBnk27oV5s/vc4ymaVL/lxcBcC1eHGkTHNizB9Pvbze35auvyH/kYawpyX3ed7DwBvZWap1QdEI3M0Viq9f/xWEYxgTgpX2GRgN3mab50D5zvgUsAtrS6a+apvmL3u4pIiIiIiIiseX57HPKLrkEAgEARv19EQnjx0eeB91Nkeu6F16IXOf/3yOkHT/4zlbw79yJr6yMzIsujNkeaaeeimvxYkrPOBNfaSmpxx/HsDvuaNeCqTOGxULe/fdT9r3v4fnoI4J1ddhycrp9R0REJBY8JSVYkpNxjh3bo/n7/xlnTUmJfHnEmh6uADISE7GkpdFSWhqVGH2bN0euG996K5LU8peXd5ib8s1vkjoI/72mL9qSWtcXX8/pY06PczRyOOt1+0HTNDeYpllsmmYxMAPwAK91MvXfbfOU0BIRERERERnYap55GmtyMiOefRYjKYmqBx4k5PEAEPL5qHrwQQAK//AHJny2irErlmM4HHg/+5xQU1N3Sx+Smj78EIDkuXNjtkfqMd/CmpVFoKKC4b+6h/xHHjlgQquNNSWZ7O9fDkDI7Y5ZjCIiIt3xrPyQxBnTe10xbElL6zBmGAbOUaPwbd0GQPOGDfjKd/Y6xqaPPwbAmp1NyLX3z0zfjn2SWobBkJtvIveXv+hThfZg1JbUWjBiAVaLKsMlfqJ1ptaxwBbTNMuitJ6IiIiIiIj0M19ZGe6ly8i44HyS53ydnGuvxb1iBVtO/Da1L7xA1cMPU/fCCxh2O4nFxViSkrDn5pIwaRK1CxeyYcZMTJ8v3h/joAXdTbiWLe/0jDDv2rVY0tJw9PCb571hOByM/PMLjH7rTTLOPvugf4hmSUkB2lfRiYiI9Bff9u34yspImf+Ng3pv1Guvktza5njf87T25Rg9Gl9rpdauW29jz//+b6/j9Hz8Cba84TjHj2v3RRx/eTlYwj8mt48oJOfaa7EPHdrrfQartqRWoi0xzpHI4S5aSa3zgb908WyuYRirDcN4yzCMyVHaT0RERERE5LAXdLvxV1ZGbb3aPz6PYbORddFFAORcfRVFf34Be9EIKn95D7VPP0NicTGjXv1buzMm7CMKI9fNGzdFLZ7+Uv3YY5T/13/R9P4HHZ4Fdldgz8uL+be1HSNHYh82rFfvWpLCfy1UqSUiIvHgfv99AFLmH31Q7yVMnEjCkVMAsHSZ1BpFoKqKoMtFoKaGQHV1r2I0TRPPJ5+QPGs21pSUdn9m+neWY8sdhjU7G0dBYTerHN7akloJtoQ4RyKHuz4ntQzDcACnA3/t5PFnQJFpmlOB/wNe72adqw3D+NQwjE+rqqr6GpaIiIiIiMigV/nreym78KKorBVsaKD+1VdJO/VUbEOGRMaTpk+n6PnnKXz6D6SfeSb5Dz2Ic9y4du+mn35G5Lp57RdRiSeW9q/I8u3YDkDtc891mOuvqMCem9svcfVWW6VWyKNKLRER6X9N/34fe2Eh9qKig3637fwsa1rnSS3n6NEA+EpLCTY2EmyoP+g9vGvW0LJxI8HaWpJmz8KSlNyuUsu3oxxHQSE511wT0zM0D3XNgWYAkmxJcY5EDnfRqNQ6CfjMNM0OXw80TbPRNE136/WbgN0wjE5PrTVN8/emac40TXPmkH3+A0pEREREREQ6Mk2Tpg8+wL9zJ4EofDGw7uWXMb1esi67tMMzwzBImTePvPvu7TTBk3L0PL62bi3WjAy8XwzspNaeBx+i9LTT2v0wq2VTuLqs6f33cS1d2m6+v6IC2/CBndRqq5pTpZaIiPS3kM9H03/+Q8r8o3tV1WzNyADAktrxTC0Ax6hRAHjXrQO/n2B9w0Gt79u+nW3nnsfWs78LQNLs2ViSkzu0H7QXFJB1ycWkLlhw0J/hcKFKLRkoopHUuoAuWg8ahpFrtP7TzDCM2a371URhTxERERERkcOaf8cOAq2tB5vXr+/zeo3/fJOkmTNJmDChV+8bVisJRxxB89p1fY4lVpo++g81v/sdvs1bqHlmIRCuUPOXbSfnhutxjB1D9RNPRuaHPB5CDQ3Yc4fHK+Qe2XumlpJaIiLSv7yffYbp8ZB89PxevR+p1EpN6fS5o7AQbDa8JSUABOvrOz0DsyuRdoWBALbhw7EXFGBJSSHY0MC2887H8/nnBPbswV6Q36v4DyfegBen1YnFiNaJRiK9Y+vLy4ZhJAHHA9fsM3YtgGmaTwLfBX5gGEYA8ALnmwfzTx0RERERERHplOeTTyLX3jVfYElNpWXTJtLPOAOL03lQa4Wam2nZtInsq6/qU0wJE79GzX/+g+n3Y9jtfVrrYISamzEDAawpnf9ArE3dn/+MNSuLxOnTqPnDHzBsVhoW/R2A5NmzCVRU4FqxIjLfX1EBgH2AV2pF2g+61X5QRET6R6ilhZ0/+hGhhkYMu53kr8/u1TrW9O4rtQy7HUdhId6S1eGBQIBQk6fd2Z7d2fcMrqRZMzEMA0ty+F3v6tU0LFoEtCbPpFvegJdEW2K8wxDpW6WWaZoe0zSzTdNs2GfsydaEFqZpPmqa5mTTNKeapjnHNM2VfQ1YREREREREwLt6DZa0NOyFhVQ/+ihlF1xIxV0/w718+UGv1bJhAwSDJEya1KeYnOPHg99Py9atfVpnf2Yw2O2au26/g7ILLuj2m9v+nTtxL19O2qmnkPvTn2LY7VQ9/AjWzEzyH/gtSbNmYc3MIlhXjxkKhd/ZvRsA2wA/U8twOsFmU/tBERHpNdPvp+KeX0Va8h5I08qVuJcsxfPJJyTOnBFJFB2stvaDXZ2pBeAYPRr/9u2R+2B9z8/V2jeplTw7nHjbN9a2ZJk9v6DHax6ulNSSgUK1giIiIiIiIoeg5rVrSZg8iSHXX0fmhRcw/N57AfDv2n1w66xfT9n3LgYgcfLkPsXkHDcOoMc/ENuft6SEreed16GNXt1LL1F60sk0ffRRh3eC9fW4li6lZdNmvJ991uG56fNR/dRTbDntdLBayTz3XOzDhjHyL39m1KLXGfmXP5N28skA2LKzwt8Ab2wEINCa1LIPH9jtBw3DwJqcrKSWiIh0ac8DD7Lj2h90+dz97rvU/elP7HngwR6t517xbuQ6sbi413HZ8/NImjuHxOkzupzjHD2q3f3BJLWC1eGTcFKOO5aUY48FwLJPlVfLxo0AOAqV1DoQb8Cr87RkQFBSS0RERERE5BAT8vlo3rSJxMmTST/jDHLvuov0M8/ASEoiUFlxUGvVPLMQ0+8HwNbH5I1j9GiwWmnZ2Luk1q477qR59Rrcy5bh37kzMt68Ovwt6u2XXc7271/R7nD3/8/efYdHVWcNHP/e6ZmZ9F4gIQEpAioiVUHBXrBjR2y7roq66qq77mtD117XLjZ0VUCwYEE6dqT3kkYSAimkzkwmU+/7x5DBmB5SgJzP8+zzTG753TNsTCb33HNO9cKF4PGATkfl3Hn11lPdbvKunUrpc89jGTOa9K+/xti3LxBIwP15fpg2KhoAb3l54Lo7d6KEhKBPSmrX++lKGqsVv0OSWkIIIRryVVdT/uGH2FeswGezNXpM5WdzAbAvW9ZixbWqqtiXLydk2DAs404i8rLL2h2bxmgk9b33CBnc9IM1hrQ/JbWq2lappY2Optcrr6CLjAxc849VZX4/ismENiambYH3QFKpJQ4VktQSQgghhBBC9Dh/bFNn/+ln7D/+2I3RtJ1rZyZ4PJj+UFmlKAr6+Hg8RcVtWsu5fj2GjAzS5sxBUZSDiktjMGDok0bt9m3tOt+3P5m05977yJp4Kr79FVOunMDNtZDhx+NYuZLciy+hYs4c/C4X1d98iyEtjYgLL6T622+D5wDse/MtnOvWkfjkE/R65RUMLQyB10VHBeIoCzzVXbt1K6YBA1C02na9n66ksVjwOWSmlhBCiIaqPv8c1ekEVcW5fgP73n6bXZdfQdHj/8Hx20pcmZnYV6wg/KKLALAtWNDserVbt+ItLibikkvo/dZb6Du5Ta+hnZVaxU8/Q+Xs2ej+lLDS/qlVoj4l+aA/A/UEtd5aSWqJQ4IktYQQQgghhBCHDdXno2bVqmZnJ7WkdsdOsk87HduyZZR/+BEFN95IwU1/QfV4cOfns+vKq3Durww6VFV8+CHo9YQcd1y97bqEeLxFzVdqlc2Ywe7b76DkpZeo+HQWnoICIidfSsiQwR0Sm/n44ThXrwlWf7WW45df8FVV1dtW+Pe7sC1fjmvHDqKuu460jz6i1xuvozGbKfq/B9lxzLHUrFxJ2LnnEnnF5ai1tVR98WXw/OpvvsEydiwRF1zQqhi00XWVWhWofj+urdsOes5YV9FYrfjtktQSQghRn+r3U/HxJxgHDACNhvIPZ1L63PP4HXYqZ80if+pUcs6/AMVkIu6euzEdMxTbkqVAoJq74tNPG6xpX7YcFAXr+HFd8h6MfdqX1Cp/910AdPt/v9fRWK31vjbIPK1WkfaD4lAhSS0hhBBCCCHEYaP4qafIu2YKznXr2nW+3+mk8O678Ozeze6/3ULx448H9zl++42aVatxrl3Lrssux19T01Fhd6ja7dup+vJLoq+/vsGT0fr4BDzFxXjLyxvMtfJVV1M2YwYlzz5Hzdq1lL31NkUPPwyAedSoDovPMnYMfocD58aNrTreU1JC4T3/IP/6G+q1+TOPGoVz40Z23/w3VLc7WJVmPekk0uZ+Ru/33sXYry8oCuHnnoNp0CBMxwylYtYsVFXFU1SEe9cuLCee2OrYtfvbEvnKy3BlZeGvqTmMkloyU0sIIURDjl9+xZ2XR/QN12Mc0B/HD4Hq9NQPP+SoX38h+aWXCJ80ifh/3o8uKorQiadSu3kznr17KXn6aYoefqReFTSA46efMA0d0iBZ1Fm0ERFoo6PRhIcDNHgIpiV1bYXraP5cqdWr18EF2EM4vU7MOnN3hyGEJLWEEEIIIYQQncvvdlP+0f/aNNQ7eK7DgbugAIDKzz6jYuaHALiys4HATQ3Hr79S/r//4c7La3G94ieexJ2dQ9TUqaDTEXf/ffTfsB6N1Ur1t9/h2bMneKwrO6fN8XaF6m++Ba2WqKnXNthXV6mVN2UKuZdOxr37wFyqsnffpeTZ5zANGkTfxYvov24t6fO/Iu3TTxrMljoYllGjQKPB8fPPrTq+8PY7sC1cSMwtfyP9m68D/98Avd58g34//0TKq68QfdONhJ5ycvAcRVGwjB5Nny++oO+K5RjS0gCIvOxy3NnZ1KxaheO33wLxjG59wq5u1oZz4yZ23zYNxWzGMmpkq8/vTlqrFb/dTsWs2Th+/TW4va0Vc0IIIY4sFR9/jDYqitAzziD2llsA0MXFoY2IQGOxEHbG6SQ9+QSRkycDEHrqRACqF3wfXGPniJHYli4DAi2cXZmZhAwe0qXvw9inD7rISJSQkDZXJmus9ZNYDZJaLbQn7qn+3BlB2g+KQ4UktYQQQgghhBCdRvX52HPvfRQ/9hhF0x9j70MPt+km+5777w+2Ctz7yKNYxowBvR5Pfj7FTz3NzpGjyL/ueoqnP0bOuefhymk6EVX9/UIqZ88m+sYbiL//PvqvXkX01KlojEZCJ07Etngx7j8MRnfnZB/Ue+8MqqpSvWABllGjggmYP9InJALgzspG9fnYfcstwQSHc916DGlppH02B43JhMZgwNivHyHHHtuhMWrDwggZMgR7K5JaPrsd58aNRN94I7G3344mJIS4f9xD/zWr0RiNaAwGQidOJO7uuxvcgAJQtFr0cXHBr8POOhNNWBjlM2dSNmMGuqREjEcd1erYFb0ebXg4VZ9/jq+yktR330GffHjc6NJYrPjsdkpffJHSF18CoGL2bLYPGYp3375ujk4IIUR3qN25E/vy5URcemngd+qppxL3j3+Q/OKLTZ5jTE/H0KcPFR99BIAhNRUA56ZABba3pAS/w9FgzlVni7n1FmLvvBON0YhaW9uqczQWC4a0NJKffbb+9j+3H5RKraBqdzVXfXsVL699mZNnn8zsHbOBQJVWeW05YYawbo5QCElqCSGEEEIIITqJqqoUP/44tgULUMxmqr/5hspZs3Bu3tzqNeqeCt59y60YkpJIfuF5DCkpuHJzqZo3D/OIEfR6ZwZ95s1F9XiwL13a5Fplb72FsV8/Ym+/HQCN6cBMgLCzz8Jvs2FbsgTTMUNBpwtWavnsDnbfcSfu/Pz2/DN0qNqtW/EUFBB21pmN7reMGon5hBNIeOhBUl56EZ/NRv5115N37VRqVq7EMmY0iqbz/wy0jB1L7abNLbYHcq7fAH4/5uHHB7cpWm2jCazW0ISEEHHhBdgXL8GdlU3iww+3+f3qEhPRxsSQ+uHMDk/4dSZtdBS+igp8FRU4N27EW1GBbdFiAKq+/rqboxNCCNHV/C4Xu6dNQxsVRdTVVwW3R99wPeZhxzVzZqBay1MYqPZOfPIJdAkJePcGZna69z9AZMzI6KTIG2cZPZqwM89AMZnwu1qX1FLdbkJPP71Bu2aN+UALPfOoUQ1mlPZkj//2OBtLN/L2prcpry1n+m/TmbZ0Gm9tfItaXy2n9Dqlu0MUQpJaQgghhBBCiM5RMXMmFR9/QtQN1xN15RXB7bVbt7bqfL/bDfsTEhqLhZTXX0MbHo4hNRX74iX4qqqImDwZ69ixmAYNwtivH45ffm10LV9VFbVbtxJ6xhkoen2D/ZbRo9GEh6O6XBhSUzH07o1rf6WW48cfsH3/PTWrVrf1n6DD2RYsAJ0O68SJje43pKWR+uFMIq+4gtAJE8hY8B3x//onNStXAmAaOrRL4rScOBb8fhy/rWx0v98RaBvkXLsGtFpMQ4/psGtHXjMF8/DhJL/wPNZxbR9gn/LyS6R/Pq9DWzJ2BV1cHPh8gS9UFcdPP6GNiACgau68boxMCCFEd7AtXIgnL5+kxx9DFxvbpnND//A5w6kT+/cAACAASURBVNC7N/qEBDxFgaRWXVW8oU96xwXbBoFKLVeLD86ofj+qx4NiMDTYp2g0JL/0En2XLiH1/ffQRUV1VriHFb/q58fCH+ttu6jfRawvWc+MTTNIsCQwPGF4N0UnxAGS1BJCCCGEEEJ0iuoF32MaMoS4e+7B8ofkQu3mLa0637VtG3g8JDz8EOlffYkxPXDzJDjMW1GwjB0TPN4yZjQ1a9YEkmF1a+TkknXqaWSeNA5Utcn5SIrBQOhppwbWT07GmJGOe3+llv3HnwDw222tfOedQ1VVqr9bgGX06EZbDzZGYzQSNWUKcf+4BwDz8BM6M8SgkCFD0Fit7HvzDXIuuBCf7cC/nf3Hn9gxYiTO9euxLV+OafDRaK3tq8xqjCElmdSPPiTsrLPad37v3m2++Xco+GMbRgD7ih/wlpQA4MrMbNXMOSGEEIen2m3b8Ltcwa9dubmUvfU2+tTeWE46qc3rmYYORRsbg8ZsRhsVhS4xAe/evYG1d2aisVrRxXXP70rFZMK5cSM7R4/BlZnZ5HF17a4VY8OkFkDYGaejT0rqlBgPV7uqdmFz29BrAg+A6TQ6Hhr9EAsvWcgjYx7h8bGPo1EknSC6n3wXCiGEEEIIITqFOycH08CBKIqCZcQIMhYvxjJ+HLWtbD9YV9FlHTeu3k2HkP3VRjHTbquX3DENGoTqcgXb5QDU/L4Sz+7dqG436HTBcxtTlwQxpPTCkJYWOM/nw/Fj4IlVn93eynfeOWo3b8GzezdhZ57R5nOjb7iB/uvWYuiiQeiKXo955EhcW7fh2r6d/OtvIP+GG/G7XBRNnw4+H+Uff4xr6zbCzzm3S2I60un+kNQypKXh+PFHPHv3Yho8GADbsmXdFZoQQog28paWknPRReRffz3FTzxB5dy5lL37HrtvvwPnpk31jq3dsZPciy6m/P0PgMBDMAU334y7sJC4v/+9XW2HFY2GqKuuJvS001AUBX1CIp6iImpWraJy3jwsJ56Ioigd8l7bHJvJiKegAPz+ZltDq/uTfJpGKrVE4zaUbgDgjLTAZ814czwaRUOILoSL+l3EiMQR3RmeEEG67g5ACCGEEEIIcWRxFxSgsVrxVVXVGyJuSEnGNHAgZT/+hOp2N9oOpt46u3ej6PXo/jQHIezcc7CcOLZBtZIuIREAb3Exxj6B67qystGYzWR8vwCfzdbsNS1jxpD0zDOETpxA1Zdfono8OH75FW9pKQB+W/cmtaoXfAc6Xb2WQG2hCQnp4IiaZxk7BvuSJQDU7r8BV/LU03jy81FCQqj+aj7odISdc3aXxnWk+mNSK/ziiyh97nl8VVWEXjsF1VWL44cfiZ46tfsCFEII0Wq2pctwbd0GAwZQM2s2au3+GVI6Hb6qKlI/eD94bNk7M0BVsf/wAzF//QvONWvw5OWT+OQThJ3Z+AzO1oi5+a/B1/rEBFSXi4Jbb8OQnEzio4+0e92DpTEemInqq2y6BaG6v3JfMRo7PaYjxcZ9Gwk1hDImaQxf53xNoiWxu0MSolFSqSWEEEIIIYToMPaffib7tNPZ9+prAMHkUh1jenrgydqCghbX8uzZgy4pscETxoqiNNp+T58QHzhv/8wHAFd2Foa+fdHFxgbbFzZFURTCzzsXjdkcrAyrnD0rsM9kwu84+KSW6vfjysxEVdU2n+v49VfMw4cH5yQd6sJOOw3zCfXbHVZ8/DGhZ54ZnHVlPfFEdNHR3RHeEUcXHQ37n5oPn3R+cB6dLi4eY79+uAt3d2d4Qggh2sDx88/oEhPp8/k8+q9ZTcaC7+i7Yjlxd91FzcqV1KwOzPn0FBZS/c23aKxWnOvXU/TodAr/fheK2UzYaad1WDy6xP3JDVUl5bXX0IaFddjabaWYDiSpfJWVTR5XV6ml6KVSq7U2lG5gaMxQkqyBz8GS1BKHKklqCSGEEEIIITqMc/16ACo++ggAw5+SWnVDxeuGjDfHs2cPhuTWt8vTxQeSWvYVK6j68ks8xSW4srIwZmS0eo06dUkt29JlGPv1Q5+UhK8DKrXsy5eTc94kSl98qU3nqT4f7uwcTAMGHHQMXUUXG0vqhzMxjzjQqkYxm4m//z5MgwYBEH7+pO4K74ij6PVoY6LRhIWhj48j5NhjgUAFly4uHm9JabuSqUIIIbqW6vPh+O03LGPHoCgKilaLIS0NfXw8kZdNRp+czJ5/PYDP7qDsgw9AUUic/ij4fFTOnYtpyBB6vfJfNJaOm1cZMmgQ+uRkkp9/HmN6n5ZP6ET1KrWqmq7U8kulVps4PA6yKrIYGjs0mMxKsCS0cJYQ3UPaDwohhBBCCCE6jGvHjuBrjcWC/k9JKUOfNADcubtaXMtTuAfjyeNbfW2NyYQ2IgLbdwuwfbcguN3Yt2+r16gTnOHl82E56SRqVq/G3wEztZwbNwJQ9uabRN9wfaufdPbs3o3qcmHs1/b30t2M/fpR8/vvxP/fv9EnJqJPSCB80nn4KiqwtrOVomicPjYO//4WVdZx43CuXRtIapWWojqd+G22bn26XgghRMvceXn4q6sxHz+8wT6NxULSU0+SN+Vaiqc/im3ZcsLOOIOws87CkJ6BoVcKGrO5w2PSJyfTd8niDl+3PRTTH9sPNlOpVZfUMug7PaYjweZ9m1FRGRo7lHhzPBf0vYCJveVzmjg0SVJLCCGEEEII0WGcmzdjHDgQY9++RF11JYpWW2+/1mpFFxuLOze32XX8Lhe+ffsOJJdaSRMaiq+ykvALL8SYkY5z8xZCTzu1ze9DY7GgDQ/HV1WF9aQTcW3fjt9ma/M6FXPmYFu8mF5vvIGiKLiysoL73Lt2ETJ0aKvWqTuvPQm67hZ17RRMRx9NxEUXBrfpExOJv/++bozqyGQ9+eRgUiv8wgtx5+URMmQw3n2BuXDekhJJagkhxCGu7gEh04D+je43Dx9O9E03UfbmmwCEX3BB4Pj+R3VNgN1M88f2g81Uah1Iakn7wdbYWBp48GpIzBC0Gi3Tx07v5oiEaJoktYQQQgghhBAdwrHyd7x79xJ17RSip05t8jhDejruFtoPevbsCRzbhvaDfzwv/LxzsYwZ06Zz/0yXnITf7Sbk+OPRfPIpnpLiNq9R9H8PAoEbVKYBA3Dt2ImxXz9cmZltS2plZgJgyDj8klqG3r0x9O7d3WEctqrd1YToQtBrWn7SPPb2acHX+vg4kp74T+B1XBwAnuLiwzIxKoQQPUntjh2g1WJopn1y7G234vj5Z7wlJVhGj+rC6LqfYmxlpdb+mVoaaT/YKhtKN9AnvA/hxvDuDkWIFslMLSGEEEIIIcRBq92xg9233oohI4OICy9s9lhDeh9cOTkN5vtUzJlD8VNPo6oq7rw8gAbtC1uiTwkcXzdP6GCEn302UVOmoDEY0IRa8dvsuHJysS1uffsd3f5kQumLL1H2zjt4CgqwnjoRNBrcu/JavY4rMwt9UhJaa8fNxxCHPo/Pw+T5k7n2u2tx+VztXqdu3py3pBRvRQW2xYtlvpYQQhyiXDt2Ykzvg6aZCiNFr6f3u++QNutTFF3PqlmQSq2Op6oqG0s3MjSmdQ9bCdHdetZPPSGEEEIIIUSH8xQWUnDjTWgsFnq//Rba8Oaf8DRm9MVvs+EtLQ1WkABUf/stNb/+hi4mBl91NWi1mAYNalMsqe++iysnt0PmSUTfeGPwtdZqxW+3U/bODKq++JK+SxajT2h+eLaqqvgdDgDsy5djX74cNBoso0dTPf9r3Lt2tToWV1YWhsNwnpY4OAvzFlJoL6TQXsh/Vv6Hh0c/jKIobV6nLrlaPX8+Jc88g6+8nLQ5cwgZMrijQxZCCHEQvBUVODdswDKq5eorbVhYj2wp29pKLf/+Si3FIJVazamorWDKd1OocFVwTNwx3R2OEK0iSS0hhBBCCCHEQSl+5ln8TiepH/+vVTOwjH0D7XTc2dno4+JQVRVfRQW+ysDTtiXPPYcuLg7ToEFtTk7pk5PbXN3VGhprKH6HA+/eveDzUfnZXGJvu7XZc3yVlfgdDuLuu4/IyZeiqqDotGhMJgxpadRu24a3vBxdVFSz66heL+6cHCwnju3ItyQOA1/nfE2v0F6cmXYmb296m/LacnZV7eKDsz4gytT8980faUwmNOHhOH75BX3v3vjKy/Hs3SNJLSGEOMTs/b//w2+3EzXlmu4O5ZCltLpSyxM4Xiq1mvVV9lfsqt4FwPHxx3dvMEK0krQfFEIIIYQQQhyU2o0bsY4bh+mo1g0oN6SnA+DKygag9IUXyRwzFk9+PqGnn44xIx1vURHmYcM6Lea20litALhycgGonDMH1ett8nifzUbRg4F5WoZeKWgsFrRWCxpT4Oli8/DhuHNz2XXFFfidzmav7c4vQPV4MPbt1xFvRRxGcqtyGRw9mFuPvZWxyWNZXrCcXdW7eHvj221eK+7OO0h46EHS/vcRAN7iko4OVwghxEHwlpdjX7acqGuv7ZA2ykcqjSkk+Fp1OoMVWX+muutmaklSqymqqvJl9pcMiRnC4ksWkx6e3t0hCdEqktQSQgghhBBCtJuvshLPnj0YBw5o9Tm62Fg0YWG4cgJJrbK33gLA73CgT0oi5ZVXMPbvT+jpp3VKzO2hDQ0ktbxFRehTUvAWFwfaCRKY2eDZs6fe8bbFS7AtCsze0qekNFgv5ua/0uutN/Hk5VPywgv19rkLCnBlZgJQs2YNOWefDYCxr7Qf7Ek8fg9FjiJ6hfVCq9Hy9Lin+ffIf3Nq71P5POtz/Kq/TetFXnEFkVdcgTYmBkWvx1tc1EmRCyGEaCvV7abio4/A5yPsnLO7O5xD2h8rtYBgpf+fyUytlhXXFJNZkclZfc4i3hLf3eEI0WrSflAIIYQQQgjRbrXbdwBgGtj62VeKomDMyMCdlY2npH61iDYiAkNqKulfftGhcR6sukotgIiLL6Li01lUfDoL88iR5Jx7Ht7iYvr9+gu6yEgA/HZ78Hh9Sq9G17SOG0fklVdS8eFHhJ12GuYTTqB2xw7yrpmCv7oa86hRwbY6itGIMUOenu1J9tr34lN99AoNfP+EGcK4bMBl6LV6FucvZrdtN73Derd5XUVR0MXF4ZFKLSGE6FaqqlL2xhu48/KxL1+Or7KSkGHDMPbv392hHdLqqt5RFFBVfFWV6OPjGhwXnKlllJlaTdmybwsAQ2OHdnMkQrSNVGoJIYQQQgghWuTctAn7ihX1ttWsWkX+1KkAmNpQqQVgyEjHlZ1N7ZYt9bZrIyIOKs7Ook8+UG2lS0wk4tJLcfz0E2Vvvom3uBgA5/r1wWO85WUAZCxaiNZqaXLduLvvQp+czJ5/PYC/pobyd98DIPaO23Hv2oVr2zbi/3k//X76sc3zxcThq8ZTw/yc+QD0Dq2fuOofGbjZuaNiR7vX18XHB79vhRBCdA/vnj2UvvQyVV98gWXMGFLeeJ3UD95HUZTuDu2QVpek0sXGAoGuAY2RSq2WbSnbglbRBj9bCHG4kKSWEEIIIYQQolnlH3/MrksnU/DXm9n3+uuo/kDbs+rvFwIQfsnF6KKj27SmMaMvvvJyXFlZ9bYfqkmtPybt9HFxRFx6CWi1lL33PpqwMNBqcW7YEDzGV1aONiYGQ6/Gq7TqaCwWEh97DE9BAZVz5uDevRtT//7E/O1v9F20kNRPPibymmvQhoZ22nsTh56Pt3/MGxveAAhWatXJiMhAq2jZXr693evr4uMkqSWEEB3E73IFK6vbom5OZ++ZH5D8/HOEnnwyil7f0eEdceoqtfSJiQBN/turrv1JLanUatLW8q2kR6Rj0pm6OxQh2kSSWkIIIYQQQohG+Z1OCm69jeJHp2MZM5qwc86h9KWXyZ9yLe78fGrWrsE8ahRJjz3W5rWNfTMAqFn5O3DgKdpDNaml6A50btfFx6OPjyd0wing82EdNw7TgAE41x9IannLy4KtCFtiGTUS0zFDqZg9B8/u3eiTkwPX1OsxH3ccikb+bOtpajw1wdcxITH19pl0JtLC0lhVtAqP39Ou9fVx8XhKSlBV9aDiFEIIAcVPPEHuJZe2+Weqe/9sUWNGRmeEdcRSjIEEjC5pf1KrpUotSRQ2aWf5TgZGDezuMIRoM/nrSAghhBBCCNGoytmzsS9ZQsixx5Lw6HSSnn2GxMcfo3b7dnLOvwDX9h2Yhx3XrrXrbuDUrF2LJjQ0mMjRRoR3WPwdLebWWwHQJyQAEHH55cD+pNTQIdRu2RK8oeUrK0fbhuq1yMmTcWdn4y0uDv5biJ7L6/cC8PbpbzfahuqifhexrmQd/13333atr4uLRXU68TtqWj5YCCFEk1SvF9uC7/EUFODOzW3Tua6cXLTh4WijojopuiOTxhSovNInBJJa/qYqtdwuFINB2jk2weVzUeosbdDmWIjDgSS1hBBCCCGEEA34XS7KZryDecQI0j79BENKMoqiEHHxxaTP/wrz8OHg92MZPbpd6+sSE1HMZtSaGnTR0cG5CIdqpRZAzG230n/tGjSWwIwsy5gx9H7vXcLPPx9jegZ+mw1fWWCWlre8DF0bblJZTjwx+FqSWqLGW0OUKYpRiaMa3T/l6CkMjx/OmuI17VpfY7EC4Hc42h2jEEKIwMM5dZVCOWefQ+E/7m11K0J3djaG9HRJurSRsr/9oC46CkWvx1dZiXffPnzV1fWOU91umafVjL32vQAkWZO6ORIh2k6SWkIIIYQQQogGKj/7DG9pKTG3/K3BPn1iIr3eepOMxYsxn3BCu9ZXFAVjejoA2phodDGBFmuHclJLURQ0ZnO9ry2jR6Po9RjS0gCCT2m3tVJLHx9/4LUktXo8h8dBiC6k2WP6RfYjuzK7XS0E6xKzTSW19j7yCLtvv6PN6wohRE9jX7KkXuKk+rvvyDn/AtwFBc2ep3q91O7cGWzHLFpPs39GlhISgjYiAl9VFZknnkTWaafXO87vcsk8rWbsse8BINGS2M2RCNF2ktQSQgghhBCim5V//DFFjz2O3+Xq7lCAwJOtZTPeIeS44zCPHNnoMYqiYEg5uORLXQtCXXQM+t690EZGBod/H24MffoA4MrNxe9y4bfb0UW3r52QPlmemD3S7LXvZcamGfhVf6uOd3gcWPSWZo/pG9EXh8dBkaOozfG0lNSq/ORTbAsXtrraQAgheiJVVbEtWYpl9GiSnnmahOmPkvbJJ/gqKiib8U6z59asXoO/uhrL2BObPU40pIuNxZCWhmngQLQR4cFKuT+3IVTdHqnUasYeRyCplWyVh6nE4UeSWkIIIYQQQnSwshkzyJ18Gd6KiiaPceflkXvJpRTedRfFj06n4qOPyL/u+mbP6SqVX3yBd+9eYm75W6e2xDEEk1rRxNx0E2mzZ3XatTqbPjEBxWDAnZ2NfckSgDbPyOj97jtYx49HnyhPzB5ppv82nZfWvsTWsq2tOr7GW9OqpBZAZmVmm+Opqzj01zScqaV6PMHXtkWL2ry2EEL0FK6dO/Hs3o114gTCzzuPyEsvJWTIYMLOPYeqr75q9sEA2+LFKEYj1pMkqdVWGouFjAXfYR42DG14BL7KJmZquVxoelhSy+P3cO7n5/L9ru/rb/d5OP+L8/lh9w/BbXvse9AqWmLNsV0dphAHTZJaQgghhBBCdLCa1Wuo3biRgptvxme3U/39QlS3u94xJc89T+3mzVR/+x0Rl15C0nPPUrt5M3lXXImnqO2VFx3FZ3ew77+vYDpmaL05T52hruWONiYajcWCoVevTr1eZ1K0WgypqZR/MJPCu+5GGx5OyDHHtGkNy5gx9HrzDRSttpOiFJ1tR/kOnvr9KXx+X73tNd5A8mht8dpWrVPjqcGsMzd7TEZE4L+f7MrsNsfZXKWWp7Aw+Lr4mWdxbt4CQO2OndiWLm3ztYQQ4khlW7wYFIXQU06ptz3q6qtRnU4q586rt91fU4O3ogJXbi5V8+ZhnXBK8OexaB9NRDi+ygMPhO2eNg1XVhbQM2dqFTuKyavOY0PphnrbsyqzyKnK4cnfnwxu2+PYQ7w5Hp1G19VhCnHQ5LtWCCGEEEKIDuYtKUEXH0/tps1kjRuPv6aGhEcfIXLyZFSvl+InnsS2cCHRf/kLljGjMY8ciaIo6BMTyb92KuXvvU/8P+/v8rhVv5+ihx/GW1pKyiv/7fTB5caj+oOioE86MtrtRVxxOc7Vawg752ysJ53U426k9HQ1nhruXnE3edV5XDHgCnqH9Q7uc3gCyaPf9v7G9vLtDI0dyuUDLm92rQRLQrPXCzeGE2eOI6syq82xNpfUcufnA5D01JOUvvQy+dddR+8Zb7PrskC8A7Zt7fSfDUIIcSgqefFFHL/+Sur776MYjdiXLCXkmGPQxdavdDENHEjI8OOp+Phjoq6dgqLV4srNJWfS+bC/GlbR64m7887ueBtHFG14ODVFxcGvbYsW4ykqJvWjD6lZv46QwUO6Mbqut9exF4CSmpJ627eXbweo99kipzKHlNCUrgtOiA4kSS0hhBBCCCE6gM9mo/ipp4idNg1vaSmW8eMwH3ccex/4NwD2ZcvRRkRQOXsOjp9+Iuq664i94/Z6VTnmYcMwjxmNbckS4u6/r8tvHNsWLqL666+JvfOONlcZtYchJZm02bMx9T+q06/VFaKuvBKuvLK7wxDd5NnVz5JXnQdAkaMIvUaPoijEmePYVbULgB8LfwRgfs58Lj3qUrSaxqvyHF5Hi5VaEGhBmFnRjvaDlqbbD7rzAkkty9ixmE84gbxrpwYTWgC+ykp0kZFtvqYQQhxqnJs24Vy3jsirrmqySlr1+1E0GvxOJxX/+xi/zUb2mWehaLV49uwh9u67Gj0v6uprKLzzTuwrVhA6YQK2778Hj4e4e+9F0esJGToEQ2pqZ769HkEbEYHfZqu3zV9TE2j/WLqPqCnXdFNk3aNuzmaRo4jcqlySrEkYtcZgUivMEAYEZn1uK9/GHcPu6LZYhTgYktQSQgghhBCiA1R8/AlVn81FGxaOt6wMXWwsERdfjGnwEEpffBH7smXYly0DnY6E6Y8Seemlja4TOnEiRSt+wLVzJ6b+/bv0PXh2FwAQdU3X3QAIGTK4y64lRGdZUbCCOTvnMLH3RJbkL2GvYy8P/PwAJTUljEgYQa2vljuH3UlFbQW/F/3OtvJtrCpexajEUY2u5/A4WpypBYGk1qwds/D5fU0myBrTbKVWXh4asxltdDSKopD64Ux2334HtRs3AuDJz5eklhDiiFB4zz148vKp3bKVpKcOtGVTVZXi6dPxlpXj+Okn4v/9b1AIJk+8xYHKoJDjjiPikksaXTv01InoEhIof+99qr/+mupvv8M0ZAjR11/X+W+sB9GGRzTY5nc4KH/nXUyDBmEe1fjv2SNVXVJrQ+kGJn0xCZ1Gx8CogRQ7At+zVa7A/LGlBYF2wqf2PrV7AhXiIElSSwghhBBCiHZSVZXarVuxr1hBxcwPASh/7z1QVfRxcQCY+h+FecQI7MuWEX7++cT87WYMaWlNrhlyzLEAuHNyujyp5S2vQDEaUcwtV4gIIQL2Offx4C8P0j+yP4+OfZQl+UtYsGsBRY4ixqeMZ2NpIBk0ImEEQ2KHUOutZfys8SzIXdBoUktVVZweJ2Z96yq1XD4XhfbCeu0OW6IJCQGaaj+Yhz4tNVgpqk9IIG3Wp9Ru3syuSyfjzs/vkkpOIYToTM5Nm/Hk5aOxWqn68ktsixYRdu65aEJCcGVn4/jpp+Cxtu+/x1ddjSE1FV9lJX6nk4xFC9HFxqJoNI2ur+h0RN9wA8WPPx7cFn7euZ3+vnoabUR4g23e/bNpk194vse1y61rPwigU3RcM+gaNpVuwuYJJGQrXZUALM5bTN+IvqSFp3VHmEIcNElqCSGEEEII0U6lzz1H2Yx3QFEwDRlC5JVXsO+11wHqzVeIvPIKDL1SsE6Y0OTNjzrayMATp77Kys4LvAm+igq0kZE97gaAEAfjsd8ew+62M+P0GYQZwogwRvBT4U8YNAaeGvcUOo2O3KpcBkQNAMCkMzGh9wQW5S3igZEPoNfq663n9rvxqt5WVWr1i+wHQGZlZpuSWopWixISQtl776GNiiTqqquC+zx5+RgHDqx/vKJg7Be4Vt3MLSGEOFxUL1yIr6KSyMsmB7dVzPoUJSSE9G++Yddll6G63VTOm4ei16NPTiLq2ilYT5lA0fTpONetw1dVRdw/7sFns4HXiz4+vsXrRl55BfYff0DRG0h6/DE04Q0TMOLgNFapBaDv1YvQ007r4mi6X12lFkCMOYa7jg+0x1RVlUd/e5Rl+csoc5axtmQtfxn6l+4KU4iDJkktIYQQQggh2kD1eCh59jkcv/yMKzML68SJJD76CLroaHw2W6NJLY3RSOiprWvvoYsI/HHurajo+OBb4CsvRxslbcWEaK11JetYkr+E24+7PZhgSrAkUOmqZGzy2GBiqi6hVeesPmfxdc7XzM2ci8vnYsqgKcFkco0nMOeqNTO10sPTAciqyGJi74ltil1jseDbt4/KTz8NJrVUrxd3YSGhZ57Z8HiTCV1CAq6sLFRVleS3EOKQ56uupmj6Y1TPnw8aDWFnnoE2PByfzUb1N98Sfu456OPjSP/qSxSjERQFRa+v9/Mt7IzTA5/t9HrCL7gAXXR0q6+vaLX0evPNwGv5mdkptBGNJ7WirpuKout5t733OvaiU3R4VS9xIXHB7YqiEGmMpNJVydKCpfhVv7QeFIe15h8TFUIIIYQQQtRT/f1Cyj/4AFdmFgDR118XvMGhDQ0NHqeLi2v0/JYoBkPgZnM3VGp5KyrQRUZ1+XWFOFx9sOUDok3RXDXwQKVTgjkBgNPTTm/yvNGJowk3hvP4ysd5dvWzFNoLg/scnkBLwNa0HzTrzSRbk8muzG5z7BpLYH1PUXFwm2fPHvB6MfRuvOrL2K8ftu8WUPriS22+nhBCdCWf3UHuOrYTJAAAIABJREFURRdT/e23hJ17Lvj9OH79DYCqr75CdTqJuOxyALRhYWiMRjQGQ4Pkk3FA4KGE0IkT25TQqqMoiiS0OlFj7QcTn3yiydm1R7pSZyl9IvoAMDxheL19kaZIfKqPLzK/IMWawlGRR3VHiEJ0CElqCSGEEEII0QZV879Cl5hIn3lzibv3XkKGDau3P2rqVAB0MTHtvoY2IqJ72g+Wl6ONkqSWEK2hqipri9dyUspJ9RJQKaEpGDQGxqeMb/JcvVbPaakH2iLlVx9o6VeX1GpN+0GAfhH9yKzMbGv44PEC4LfZ8NkD13TnBeIwpDae1Ep+7llMgwfj+PXXtl9PCCG6UO3WLXh27ybpqadIevIJNFYrhX//O46Vv1P56SxMgwcTMvjoFtcxDx+OsV9foq+b2vlBizZrrFIr4oILUPT6Ro4+snn8HqpcVZzW+zRenfgq046bVm9/hDHwb7Vx30ZOTT1Vkq3isCZJLSGEEEIIIVrBV1XF3kcewfHDj4RPmoRp0CCir7+uwR+EcffdS/8N6w/qj+nuTGrppP2gEK2Sb8unwlXBMbHH1Nt+45AbmXnWTEINoU2cGXBxv4uDr5/4/QleXx9oXer0OoHWtR8EyIjIIKsyi5KakraEj/cPP2O8RYHB8u78PAD0TVRqacPCMA8fjmv7dlSPJ7i9dudOXJntSKwJIUQn8eyf/xdyzFAUnY7wCy8EVaXgb3/DlZlJ5OWXtWodXVQU6fPnE3LMMS0fLLqc9g9zysLOPoteb7/djdF0r4raQOvy6JBoxqWMQ6ep334x0nTgM/6pqdJ6UBzeJKklhBBCCCFEC2pWryb77HOonDWbyGuuJubmvzZ5rKIoaIzGg7qeNiICX0XXJrX8Lhf+mhq00n5QiFbZULoBoEFSKzokmqNjWn76f3DMYDZO2UiILoRd1bt4bcNr5Ffn82X2l0DrK7X6RvYFYOKcicGEWGuoNTXB13UtCH1l5aAozVaamo4+GtXtxpV9oOVh7qTzyTlvUquvLYQQnc2dXwA6HfrERAASHvgXvWd+gFpTg2nIEMIvuKCbI+yZsiuz8av+DltPYzKhmEwAJD37LNaTTuywtQ835bXlAESZGv8sX7e9b0RfhsYM7bK4hOgMktQSQgghhBCiBWXvvgcahT6fzSHhX/9CExLSqdfTRkZSu2kThff8A9Xn69Rr1fGVB/4Q1kqllhCtsq1sGyG6ENLD09u9hqIoePwHKp4mfTGJuTvnMiljEkNihrRqjYm9J5IWlgZAlauqXXHUVWr57DY0ViuKpulbBaajAwm72i1bAPA7W59IE0KIruLOz0efnISiO1CtYhkxgpRXXyHl1VfqbRddY8amGVzw5QXM2TGnQ9fVhoejMZub/d3VE5Q7m09qDYwayH9O/A//O/t/0npQHPZ69n/tQgghhBBCNEP1BmbOuHbuxDx8OKZBg7rkunXzAaq//pqaVau75JrekkDrMp3M1BKiVfY59xFvjker0R7UOl5/4OfM4OjBjEkaw+zzZvP4iY+3et0QXQi3HHsLcGAeV2sE55AoCp69RQD4q21oQ5tvm2hIS0VjsVC7ZQvVixax47hhzR4vhBDdwZOfj6F3aoPtoRMnoo+L64aIejaP38Nr618DYE3Jmg5dWxsejsbSuurmI1lZbRkQqBhvjKIonJdxXr05oEIcruSxBCGEEEII0WOpqkr119+gejzo4uJQtBrMo0ahKArO9evZdfkVpLzxOp7duwm/6MIui+uP8wGqvp6PZdTINp2v+v1UzpqF9ZRT0Cck1N+nqnjy8tDsv4YuMhLV66X4mWdQzGZMgwcf/BsQogfY59zX5I2jtnh63NMsK1jG0+Oebvcada0K25LU6vP5PLzFxey+/Q7cBYHZMz6bDU0LSS1Fo8E0aBDOLVsC7b32a+k8IYToSN6yMlSfr9EEler3487PJ/zYY7shMtGYguqCYGXytrJtHbq2NiIC1e3u0DUPRy21HxTiSCJJLSGEEEII0SOpqkrxE09QMfPDetstJ56IMSMd+88/A7DvtdcBMB11VJfF5quoCL62LVqM+vDDbWqTY/v+e4oeeRQeeZTwSy4mdtrt6OJicfz4I6WvvErtxo0AaMLD6ffDCsrefAvn6jUkPf1UgySYEKJx+5z76B/V/6DXOavPWZzV56yDWsOqtwJg99hbfY4+MRF9YiIhxxyDc3XgqXl/dXWLlVoQaEFY8cknWMedFNwWrPwSQogusOvKK/Hk5TNg00YUvR6A0pdfpnLe54QMGYLfbsc8YkQ3RynqZFcF5jBO7D2RJflLsLlthBo65mEI84gRwY4DPVl5bTl6jT74mUCII5m0HxRCCCGEED2OqqqUPv8CFTM/JHLKNWQs+I7eH3xAzK234s7Lo3LOZ7izAn981yWAjF2Y1LKMHQNAzO3T8FdV4dywodXnqj4fpa+8irJ/7lfVZ3PJveRidl12OQV/+Su+ffuIu/dezCNG4K+qYt9rr7Pv9dcJv/BCwidN6pT3I8SRqMxZRkxITHeHAbSvUquOeeRIPHv24N69G5/djiYsrMVzTEcfjepy4fhtJSHDhmGdOBHV5WrztYUQor08eYEK012XXU7tjp24srPZ99bboFGwLVqEecQIQs84vZujFHVyKnMAOC/jPADWFNdvQVjsKGbKd1PYVbWrzWvH3nYriY8+ctAxHu7Ka8uJMkXJvCzRI0hSSwghhBBC9DiVn35K2dtvE3HZZcT/858Y0tKwjBxB7LTb6LtoIf3XrmHAxg1ETJ4MgD45GX1KSpfFFzpxIgM2byLq6qtBq8W+4odGj3Nu2kTWGWdgX7EiuK36229xZ2eT9MR/6P3BB6TNmY0hpRe+qkoSHnmEjAXfEX39dfR643UUvZ6yN9/EkJZGwr8f6Kq3J8Rhr9Zbi81jOyKSWpaRgUqGmpUrm63UWlO8htk7ZgOBpBaA32bD0Ls3+vg4af0khOhSGnNgLlDt1q2Uv/sOxU88iSYkhD6ffUbfZUtJee01ubl/CMmuyibJksS45HFEm6KDv0/qbCjdwLqSdfx33X+7KcLD317HXmk9KHoMaT8ohBBCCCF6nIpZszENHUrCQw82ecNDMRiC1VnRN96Aouna58EUnQ5tWBjmYcOwr1hB3F1/r7ffuX49+TfehN9up/LzL7COH4/q9bLvlVcx9u9P6OmnB2NO++TjButrzGZChh+Pc81akl94XgZsC9EGwWHspoOfqdUR6loNtSepZejbF210NI6VKwMztZqo1Jq6YCoAk/tPxpCWisZiwe9woEuIR3XWSlKrh/AUFeGrrMRvt+MpLCTs7LODrd9E67h8LqZ+NxW7x06kKZKjo4/m3hPubTYBo6qqJGj+wGe346+pIe4f/6B261aqv/0O1eMh/p/3o4uSm/qHirzqPJbkL2F5wXLWl6xnXMo49Fo9l/a/lDc3vEmBrYBeob0AKHIUAbAwbyHby7czIGpAd4Z+SFmav5QhMUOINcc2ecznmZ+zcu9Kbhh8QxdGJkT3kUotIYQQQgjRo3gKC3Ft307YGae3mKiKnHwpKa+9RsTll3dRdA1ZTx6Pa8cOPHv3AmBbsoRdV11N/g03oo2KwjJ+HI5ffkH1eqma/zXuvDxip93WqiRc4kMP0fuD9zENkBsHQrTFPuc+AKJDDo2kVl2llt3d+pladRRFwTziBGp+W4nfZmtxppaqqigaDaaBAwHQJySgGAz4PZ62By4OC6qqsu/118k+8yyyTj6F3AsvIv+GG9lz3/0U3nUXqqo2e75n7172PPAAZe++10URH9qyK7PZXLaZSFMkNZ4aPtr2EbuqdzV5fLW7mglzJjBzy8yuC/IQ5y0KJEB08fFYTjoR1ePBkJ5O5JVXdnNkos6qolVM+mISL6x5gVpvLTcfczMPjAx0Bbik3yVoFE29aq2imiKMWiOhhlBeWfdKd4V9yKlyVXHHsjuYMGcCc3fODX7++KPVRat59LdHGZU4ituOu60bohSi60lSSwghhBBC9BjODRvImngqANZTTmnxeMVgIHTCKd36dLR1/HiAYAvCfa++hnPNGnQJCaR+OJOICy/EX12Nc+MmqufPx9CnD9aJE1u1tiEtDfNxx3Va7EIcqcqcgUqtQ6X9oF6rx6Ax4PC2vVILwDJyJN6SElBVNC0ktZxeJ3CgBaEuPh7FYACPB9Xvb9f1RevcvPjmbrnZW7tpE6UvvYw2JprYu+9C0elQXS6M/ftjW7SYqnmfN3v+nvvup2ruPEpeeEG+R4CcqsBsoQdHPcjLE14G4JPtn/DKulfYWra1wfGrilaxz7mPZ1c/y+K8xcHtywuWs8e+p2uCPsR4iooB0CfEYx0/HuPAgSQ89JBUDXahQnshpTWlTe5/df2rxJhi+P7i75l93mxuOfYWEq2JAMRb4pnQewLzMucFf6cUOYpItCRy3dHXsWL3CjaUtn6e7JEssyIz+PrhXx/m1DmnMm3JNBbuWsjMLTNZX7Kevy//OynWFJ47+Tl0GmnKJnoGSWoJIYQQQogeQVVViv7zH3SxsSQ8+gjG9PTuDqlVDBkZ6JOTsa9YgXPjRmq3biX+3/8m/ev56OPjMY/YPw9n9WqcmzdjPuEEaVEkRCcrqSkBDp2kFoDVYMXhbl9SyzxiZPC1Nqz5pJbNbQMgZH9C3JCaimI0AkgLwk5U46nh58KfeXPjm1163cq589g1+TIUk4leb7xBzE03EXbuuWgjI0n79BNChh9PyTPP4K2owFNSguP334Pnqn4/lfM+p+b33zENGgQeD67MzGau1jPkVOagVbSkhqWSZE0i2ZrMJ9s/4c2Nb/L+lvfrHbu9fDsfb/sYk9bEkJgh/PPHf/LR1o+4a/ldTFs6jZfWvtQ9b6KbeYsDSS1dQgK6yEjSP58XnA8oOp/X7+XMuWdy+TeNdzJYVbSKNcVruH7I9SRZkxo95ooBV1DtrmZB7gIAih3FJFgSuGrgVUQaI3ljwxudFv+hri7RB4HKToD5F8zn80mfc+3R17K5bDN3r7ibZ1Y/w00Lb6LSVcnLE14mzNB4+2AhjkQHldRSFGWXoiibFEVZryjK6kb2K4qivKwoSpaiKBsVRRl2MNcTQgghhBA9j3t3IZ6SkoNex7luPbUbNhJz661ETp7cAZF1DUVRsI4fh335cvbcex/aqCjCJ50XTFzpoqIwpKVR9fnn+KurCRk6pJsjFuLIl1WZRag+lNiQpudbdDWzzozd0/b2gwCGPmnoYgPvpbFKLb96oLqmLqkVevpppM39DGN6OoohUB0hSa3O011VC2Vvvw1A5OWXo7UGZrclPPQg6V99iSYkhIT/exCfzUbp8y9Q/Njj5E+5ltL/voJtyRJyL7qYvf/6F8YBA0h69hkAalb+3uS1eorcqlx6hfZCrw38d3Pn8Xdyef/LGRA1gKzKrOBxqqoyef5kfi/6nX6R/Xh5wstEh0Tz1KqnWJS3CAC9pmdVJql+P+78fGrWrgFAFxfXzRH1TCsKVgAHHvAA8Pg83P/j/Vzx9RU8veppYkJiuLjfxU2uMTx+OH0j+jIvcx4QqNRKsCRg1puZlDGJlXtXUuut7dw3cghaVbSKMZ+MYUf5DiDwecOqt5IalkrfyL78/fi/s+iSRbx9+tsMjBpIra+WobFD6RPep5sjF6JrdUSl1imqqh6rqurwRvadBfTb/7+/AK93wPWEEEIIIUQP4SkpIeecc8gaN57KFtobtcS+dAnodISdc3YHRdd1rOPHg6ri3rWLxP88jjas/pOYIcOG4c7NBcA0ZGh3hChEj5JZkUm/yH6HVFWk1WClxlPTrnMVRcE8ahRAg58vcCCRBQQTZ4pGQ8j+FoSKwQBIUqszrS1ZG3zt9Xu75Jr+2lrcBQXE3PI34u+/L7hdYzIFk6Cm/kcRdfXVVM6Zg335crSRkex79VV233obqtNJ0tNP0Wd/8lOXmIhz48Yuif1QllOVQ3r4gWrxM9PO5IFRDzA2aSy5lbl4fIH5dJmVmagE5pX9dehfiQ6JZsbpM3j8xMdZeeVKUqwpeNWu+V44FHhLS8maeCrZp59B1dx5GPr0QbP/Z4/oWl9mfxl8XeWqotZby+3LbuebnG/Y49hDfnU+/xj+D0w6U5NrKIrCiIQR7KzYicfnodRZSoIlAYARiSPw+D18l/tdvaqlnuCXPb/g9XuZmzkXCCS1MiIy6n3e0Gl0jEocxV+G/gWACb0mdEusQnSnzm60eT4wUw1MDf1NUZQIRVESVVXd28nXFUIIIYQQR4DKTz9FdbnQxcdTNH06lhPHom/HU7mqqmJbugzLiBPQtjAv5lBkHjUK68knE3bWmYSefHKD/ZZRI6maNw9tbAzGjMOjraIQhytVVdlZsZNz0s/p7lDqsegtDSq1PH4PpTWlTbZ/qnf+qJFUz5+PNjKywb6y2rLg62p3dYP9dTeWVZerrWGLVvp1z6/B1yU1Ja36//RguXbuBJ8P48CBzR4XM+02qr/9Fm9pKUn/fRl3YSEas5nwc89F0R247WTo1QtPYWFnh31Iy63KJacqh/Myzmuw76jIo/CqXnKqcugf1Z8leUsAWHLpEuLMgc8+KaEppISmABCiDzkkKllUVaXik0+o3bqVqKuvxjRgQIetbVu6FG/pPiIvm0zVV/Px7t1L/L//TcjgozH2799h1xGt5/F7+L3odxItiex17GVdyTpmbp3J6qLVPDz6YS7sdyF+1d+q2U69w3pT461hc9lmVFQSLYGZW8fFBdrbPvjLgxTYCrh92O2d+p4OJXVVud/mfss9w+8hqzKLib0bn5U7vtd47jr+Li4+qumKOCGOVAeb1FKBhYqiqMCbqqq+9af9yUDBH77evX+bJLWEEEIIIUSz/C4XFZ/OwnryycRMu41dF19Cze+rCD+37TeSK2bOxJ2TQ/T113VCpJ1PYzTS642mmx6EnXMOxn79MKSn17uBKIToOCU1JWRVZlHsKMbusXNU5FHdHVI9Vr21XisogE+2fcIzq5/hgzM/YFh889MAwidNQhMaivGohu+r3FkefP3Hqq06dTO1/FKp1SmKHEVsKN3A8PjhrC5ezR77noNKav12+hi8/VI58dVPmj2udus2AEwtJLW0VisJ0x+l/P0PMI8ejbWJ6hl9UhKOX39tsL1m7Vq8+/ZhHTcOjanpyo4jwQdbPkCv0XNB3wsa7Kv7mXLDwhvw+/3YPDZOSDghmND6sxBtyCFRxVLx4YcU/+cJADy78kj96MODXtNfW0vxk09S+eks0OmIuOhCqr76CtMxQ4m6+qqDXl+03+Z9m3F4HNx67K08vepppi2dhk7R8cRJTwQf9tAorWsMlhqWCsCy/GUAwQrGUEMoE3pNYGnB0m5rvdodvH4vm/dtpm9EX7Iqs5ibOZdKVyUZERmNHq/X6Llu8OH5t40QB+tg2w+OVVV1GIE2g7cqijLuT/sb68WgNraQoih/URRltaIoq0tLSw8yLCGEEEIIcbir/uZbfOXl/D979x1Y0/kGcPx7V5J7s3dki8SesWlVbUXVKFrVoqWlgw6dv1LV6qR0G622qkqp2lWzqKKorUkkksje447ceX5/3OaSJghBjPfzj5tz3vOe91zJDec5z/P4PDwKlwYNkLm4YDh6+f+x1e3fT/b7H+DesweeQ27NJxllCgUujRoh//fGsiAIV5fFZmHUhlE8vvlxpu6ZCkAL/xa1vKqKNCoNOrOuwrYzJfaypDP3zbzk8TKVCo9evRwljv7K+ovUklQACsouEdRSlZcfNF/Z4m9Cr+56lVUJNSuLW10bz2wEcNy8zNRd+jnhPRl7WJu4ttJ2SZLwTC3Ed+vhix6v27efvM8+Q+Hvhyok5JLnc+/alYhvFl20HJwqJARLTk6FMpVWrY7URx8j/ZlJpI4Zi1V7ZX3hbgZL/1nKyoSVDK0/FD+1X6X9UV5RjGkyhm5h3RhQbwAvtn2Rz7p/dsH51Mraz9SymUzkffElrp07E/Dii+gPHKBw+XIkmw1JkrAXbro8hmPHSb5/GEU/LkPdogVYLBT98gvGuDi8Bg26BlchXI69GXuRIePeevcS4haCv9qfRX0WXVH2coS7Pai17ew2gArBm7nd5tI9vDu5htvnHnFKSQoGi4HRTUYTqAnkyyNfAhDtFV3LKxOEG0+NHuOUJCnj3z9zZDLZKqAdsPO8IWlA2HlfhwIZF5hrPjAfoE2bNpf/W08QBEEQBEG4ZUiSRMHixTjHRKPp2BGZTIZLkyaUHT12WfOYMzNJf/Y5nMLDqfPOOzdU/xtBEG4e21K3kaHL4OV2L9MmsA0+Lj74a/xre1kVuKncKpUfLL/hHVcYR5ml7KL9Tc6Xb8jnic1PUM+rHsv6L6sQ1PrvOeD266lltBpZm7SWjWc2Eu4RTuvA1tfsXFqTlm9OfEPboLa0C2oHQHJJ8kWPsdgsPL75ccAehHyw0YOOfXl554rpSDYbMnnlZ52LVq4kc9obOIWHE/jBu1gkCyqZqsbXogoOBknCnJ2NU1gY2j/+IP3Z55AMBrxHjqRw2TJSH32U8IULb8pSwZeyK20X9Tzr8VLbl6rcL5fJea7Nc9Wez0XpQom+cjnQ66nop5+wFhbiM3o0mthWlPz6K1lTp1H4w1LkajWS2UzYgvkoqyhrWhXJYiF17FjkajVh8+eh8PAgecQDZL0+FYW3N54DB17jKxIu5c/MP2ni2wRPZ09W37calVxV7cys/6rjVgelTElKSQpBrkG4O1X8uY/wiOD3tN+x2CzVKmd4s8vWZQMQ5h7GvfXuZcGxBYAIaglCVa44U0smk7nKZDL38tdAL+D4f4atAR6W2XUAikU/LUEQBEEQBOFSDAcOYDx1Cu+HRjkCUepmzSg7eRKbTneJo0F/4ACJ9/Qj8Z5+SAYDoZ9+gsLN7VovWxCEW5DJauKLI18Q6hbKiAYjaODT4IYLaIE9qKU36ytsyzec64WVWppa7bmWxS3DZDNxquAUv6f9ztnSszgrnFHIFFX21DoX1Lo9emqV33iUkHjh9xfI1V+dTIJsXTYn8k84vk7XpvPYb49RWFbI862fx0XpQtugtqxKWIXReuH3enf6bsfr2Qdnc7bEHsg6nHOYzzZNd+wzpJ+tdGzOnDlkvvY/XNu3J3LZj4xOnM79a+6/GpeHKsReMtGcnoE5I4P0Z5/DVlKCc6NGBP7vNULnzqHs5CnOjhuPZLNdlXPeSHINuYS6h6KQK67KfC5Kl1opP5g8fASZU6eROn482TPewqVZM1w7d0Lu6krkj0sJnvUhNp2Osrg4jPHxZM+YUe25zVlZ2EpL8X/mady6dMEpMtKxz2vIYORq9TW4IqG6tCYtR3OP0jG4IwDOCucrDmgBKOVKwj3CAaossxnpEYnFZiFTe3vcSs7W23+3BGgCHCVKPZw8qszsFITbXU3KDwYCu2Uy2RFgP7BekqRfZTLZEzKZ7Il/x2wAkoDTwAJgYo1WKwiCIAiCINwWSjb+am8yf++5RuoeffsgmUzkfv55pfE2nQ7tH39QsmEDBd99R/pzz2POzMRz4L1E/rQc53pV16IXBEG4lO9OfsfpotO80v6Vq3Yz+lrQqDSUWcsw286VAMwryyPINQjAUUqwOnam7aRVQCtC3UL54sgXnMg/QQPvBng5e1VdftDJnsVzu2RqZemyAJjSdgo6s47nf38em3TlQZhSUylzDs6h36p+jFw/kuN5x9mZtpNha4eRWpLKnLvn0MSvCQBPNH+CXEMuK+NXUmYpq9RHDWBl/Ep8XXzZNGQTKrmKJ7c9Sb4hny+PfsnphL3nruP4XxWOMxw/Qf6X8/AcPJiM6WN48eAbxBXGkVicWKPrK6cKtge1st58k9M9eyGVlRH+zSLCv1qITCbDvXt3Ap57DsPhw5jT02t8vhtNjj7nsgPi6c+/QM5Hc6rcp1aqKbNe3/KDVq0Ow5EjFC1fjuHQ3wS89BKRS753ZPzJ5HI8+/Wj3ob1xGzfhtfw4ZRu2Yq1tOLnRv7Xi8j/5ptK5QnNaWkAqEJDAVB4eTn2uffocS0vTbiIXWm7WJu4ll3pu7BKVjrU6XDV5p7SdgqAIxP1fOU9ty6VnXqzSitNq/AzUF5q0V/jT7hHOB3rdKSFfwtRaUIQqnDFuZuSJCUBlYqIS5L05XmvJeDJKz2HIAiCIAiCcHsyZ2WhCgur8ESuukULPAcNonDx9/g+9liFUjZZb71N8apzvU2cIiMJm/flJZvbC4IgXIwkSayMX0n7Ou3pEvrfFtI3FjeVPRtVb9bj6ewJ2DO1OtTpwIYzGxw3BbN12axOXM0jTR7BWVG5D58kSaSWpHJP1D0Mih7E1D1TkSFjWINhlJhK0Joqlx8s7+d32wS19PagVufgzlhsFj488CHppemEeYRd4ki7PEMem1M2U1BWgN6sZ03iGoqMRfSL6seBrANM2zON1JJUIjwi+OjujwhzPzdv26C2xAbE8tXxr0goSmDTmU1sHLLR8XeerctmZ/pOxjQZQ7BbMJ90+4QJWybw2G+PkVqSyh3nJdoV7f8T+g7FUlBA2alTFCz6BrmbGyljuvPU9mcw2c79faZr0yusA+y91pzkTrg5VS8TWhUUhMLTE2tpCb5jx+A1dChOEREVxqhbNAfAmJiIU1j13s+bgdlmpqCsgAB15WyUCx6TlUXJ+vUABDw7udJ+F4XLde+pZcm1B1Hde/cmaOrrKH19qxwnU6lQeHri2b8fhYsXU7p5C16D7f2wJJuNnPffd4zzGTnScdx/g1rnc2ne/Kpei1A9RWVFTNxqz1FwVbmiVqppGdDyqs1/R8gdbB66GS9nr0r7yoNaKSUp3MmdV+2cN4KtKVuZvGMyQ+sP5dX2r6KSq8jR5+Dl7OX43fxxt49reZWCcOO69QuSCoIgCIIgCDcdS04OyoDKN358Ro+meNUqin9Zje+Y0QBNWs4RAAAgAElEQVTYysoo3bQJ9z598H/qSRSenij8/MRTjYIgVJtNspGjz3FkNZX7O+dv0rRpTGg5oZZWVn2uKlcAdGYdns6eWGwWCssKCfcIx1/tT0pJCnqznie3PklcYRwRHhH0juxdaZ5iYzGl5lLC3MPoX68/84/OJ02bRmPfxpzMP3nR8oO22yWo9W+mVpBrkCPQU2Kufm+j2QdmszZpLTJkyGQy2gW147nWz9HItxELjy1k7qG5ALzQ9oVKgSSZTMaElhMY99s4VsSvAOCHf35gQosJ5OpzeW6HvSfT4JjBALQJasPH3T7mqa1P4VZkpOtRGzbgYIyMNj9upPTO/pRs2EDJunUAGJ98kGf2vUSEZwQR7hFsSd0CwM8JP9PIpxEquYpA10BC3UMZvHoweoueJ1o8wcONH75kzxuZkxP1tm5B7uKCTFn1WOeoKABMiUnQtWu139MbXXkp0MvJ1CoPaAGYs7NReHsjd3LCmJQEVitqpfq6lx+05uUB4D182AUDWudzad4cZWAgut27HEEtc+q5rFH93n0Vglqms2mgUKAKOvdZHLH0BySDocr+b8K1tzV1q+O1zqyjc0hnnBROV/Uc//3dW87HxQd3lfstmam1MXkjKrmKFfErSC1JJTYwljWJawh1PxfQrW4fTEG4HYmgliAIgiAIgnDDseTm4ly/fqXtLg3qo27ViqJly/AZ/QjmlBTODB+BTa/He/gwnKNFI2VBEC7fuqR1vLHnDX4b+luF3hXfnvgWdyd3eoTf+GWvyoNaWrM9k6qwrBAJCT8XP6I8ozicc5hXd79KQlECaqWanWk7qwxqnS2191kKdw9HJVcxseVEXtv9Gi0DWvJH+h8cyztW6ZhzPbVun6CWt7M3LkoX3J3cAarMYKuK3qxnS+oWBkUPYlrHachl8goPYdwVehdzD83FReFCq4BWVc7RPqg9Lf1bcjj3ML4uviw5tYQ2gW14edfLlJpKmXXXLEefGoCOwR35pNsnaKdMJezfsn6/PFQXny+SME1+EhVKnMPCUE5/gdFnXifENYQFPRfg4+KD1qyl09JOLDy2sMIaor2iyS/LJ8QthI8OfsSvZ37lzc5v0tCn4UWv/1L9LRVeXih8fTGeSbrouNpQVFaERqW5ohv65WUiq+obdCGl27c7Xp++qysAco0Gm16Pws8Pl08fwGg1YpNsNeprdDksufbyaEr/6gXnZDIZmnbt0P35J+b0dDKnTkP3xx8AqMLDKTt1CgBTaiq6P/ei3b4dVVBQhaCnplXVPwfC9bE5dTPh7uEMazCMDw98SMc6Ha/buWUyGREeEaSUpFy3c14PRquRXWm7GBg9kNiAWKbtmcb+rP3A5X1GCMLtTDzmIAiCIAiCINxQJKsVS14eyoCqb5h4DR+GKTkZ/b79FK9dh624GI8BA9C0q1yLXxAEoTqO5h7FbDMTXxDv2LYnfQ/bzm5jVKNRaFSaWlxd9ZSXHzycc5g/0v/geN5xAPzUfgxtMJTkkmS2pm5lSpspdA3ryu703VX2SUottWdRlAdFBtQbwNb7txLlGUVsYCyZukxHplI5R1DLePsEtcozCy4nqJVvyOeNPW9gsBi4t969KOSKSlnF0V7RRHhE0CG4Q5XlIcF+o/fFti/SM6InH9z1AcXGYsZuGotSpmRx38X0iKgchO0U0okYsw8Arp07s3jwcizvvohBo0RuMhM3oSdvaZejkCn4oscX+Kp97X2unNxp7NuYaK9oVgxYwY/9f2RY/WEYrUZebvcyvw75ldldZ5Ojz+GhDQ+Rrq15LyxlQADFK1aS8dprNZ7rarFJNoauHcqsA7MuOTatNI0ntjxBp6WdaL24NdP2TCOxKBGgQtD8oucrK6PsyFE8hw5xbPN75mm87h8K2DOmXK32wM/1LEF4uUEtANf27bDm5ZHYrz/6/fsd2z0HDMCclkbBt9+SNPA+sqZNwxgf7/g8EW4MiUWJtAxoSf+o/twddjd9Ivtc1/NHeN56Qa3k4mT0Fj3t67RnQL0BLO231PGQicVqqeXVCcLNQWRqCYIgCIIgCBVIklSrpfusBQVgtVZZfhDAo08fst95l6LlyzClpaNu0YKQD96/zqsUBOFWklCYAMDpotN0CunEnvQ9PLP9Gep712dU41G1vLrqcXWyZ2rN2DujwnY/jR/N/JqxNnQtUZ5RjGw0EkWcgo1nNrI3Yy8+ap8K2TXlmVohbiGObeUl08r7qPyd8zd96/Z17N+Vu49gbp9MrWx9NsGuwcC5YGJVZRnPtyZxDe/ufxeDxcDjzR+ndWDrKsfJZDK+6vXVJctONfNvxuyuswEYEjMEs83M822ex8fF54LHmNPS8BwymDrTpyNTKrmvwxjKfriLRV89w9e6HykrNTEpdhJ13OpUOG5x38Uo5UpHNlCTjk0q7O8Z0ZOmvk3pt6of84/OZ3qn6Rdd+/lWJaxCIVdwb717Hdvc7uqC8dQpilf+TND//lehv2ZtiSuII1ufzZaULbzc7uUL/jvJYrMwafskMrQZ9Ivqh8lqYvXp1axKsPf9rG4WhuHIUSSzGffu3VG4uqJp1w737t0BULdqRfrkZ/HM1tnHWgxXHHiXbDbMaWn27KhqBJMsubnIVCrknp7VPodrx47IVCrULVtS560ZJPboab+Oli0AyH7nXTQdOhAw5QVy587FrXPnK7oW4eoz28zk6HMIdgvGV+1bKz2eIjwiWJ+0njJL2S1Tjq/YWAyAr4u9hGcDnwZMip3EpuRNqFW1/3knCDcDEdQSBEEQBEEQHKzFxaSMehjXTp0wJiYS/O471eqZcDWZc+wlelQXCGrJXVzwum8gBd9+B4Df009dt7UJgnDrkSTJEdSKK4xj45mN/G/3/6jrWZcFvRbg5nTxcmk3Clelq+N138i+dAjugM6so6lvU+QyOZ91/8yx319tD1I9vuVxAI49cq6kYLo2nQB1QJU3Dxt4N0Cj1LAvc1+FoNaiuMW8xu0T1Moz5NHC335D3pGpZb5wplZRWRFT/5hKM79mTO88nSjPqIvOH+gaeFnreaPTG5ccYyksxFpYiHNMTIXSbi5RUfSaMpfPV9+HDBn9o/pXOrY65fbquNVheIPh/PDPDwxrMIwmvk0ueczpwtNM3TMVoEJQy/+pp9DExnJ2/OPo9u3D/QborbUvcx8AOYYcNqdsplVAK3zVvhXK/iUVJ/Hp358SXxjP7K6z6RlhD96MaDiCN/a8QY4+B29n7wuew1JYiMLNDclmo+Drr0EuR9O6Ne53311hnFNd+/ePW0YxqKDMevmZWoZjx9Hv24v+8GG0W7bi98zT+E+ceMnjLLm5KPwvr2+pKiSEmF07kXt4IJPLidm1E8lsRu7ujrpFC9x6dMf30UeRyeWEz59/2dciXDvZumxsks0RxK8NkR6RAKSUpNDAp0GtreNqKjbZg1oeTh6ObWHuYXx898c0829WW8sShJuKCGoJgiAIgiAIDjmzZmOMj8cYby/Bpd+3D4977qnxvLq9eyk7cRKfMaMv2ujblJZG9tszAS6YqQXgNXy4I6jldd99NV6fIAg3rxN5J9iRtoMnmj+BQq6osG/hsYWklaZd9KZ/tj6bUnMpYM+mWZO4hoY+DVnQcwFeLl7XculX1fnBt+b+zRkcM/iCY/9bAs1kNTkCF7n6XEdm1n8p5Uq6hXdjU/ImXmz7oiM7JN1kfxjBZjJe9rqNSWfI++wz6rz9FnKXG+8pfJPVVCFLyWKzUFhW6HgPHb3Mqig/WGYpY8beGaxJXAPAi21fvGRA62qSJImc9z8Amw2Fn/0BFeeoyuev51WPgfUGorfoHWUVr8SElhP4NflX5h6cy/xe9uDEnvQ9rExYyR0hd7A3cy+tA1szOGYwHx74kCWnlgD276vzyZRKNB06INNoKF65Ere77qq1DHJJkrBKVnan7yZAHUChsZDnf38egFC3UNYNWgfAtD3TWJO4BhelC483f7xCH77Gvo35sf+PGK3GSp9R5XLmziV/3nzce/bEmp+P/sABAl99FYWHR6WxTnUjQS7HNaMQIq6s/GDevC/Rbtnq+Np0+nS1jrPk5l5W6cFyCq9zn6XnHx+57MfLnku4fjJ1mQCVsjevp/LPzMSixFsnqPVvppanc8WMx7vD765quCAIVRBBLUEQBEEQBAEA/cGDFC1fjnvPHpRu3QY2G6a0mvfG0B84QOpj48BiwZyVReCrr1R5c6pg8ffkzJqFVGa/OXOxmybOUVGEfbUQ5+hoVIGX90S7IAi3lnlH57H97HZMVhPPtn62wr65h+YCF89k+f7k9wDEeMeQUJjA6x1eZ2D0wAv2M7pRlQdX4NJ9e/67P6EowZFZk2vIvehT+ffXv591SevYlLyJnhE9OZRziEKrPShYos2neh2Dzkn78F1M23bi9cgoXJu3uMyjry1Jkrj3l3vpW7cvk2InAVBQVoCE5HgPlXIlGqXGERgtZ7FZeHbHs+xO3+3Y1sTv0tlLV0vRql8wHD1C0dKKQQPnevWqHP/WHW/V+JweTh70rduX5XHLMVvN/Jn5J5O3T0YpV/Jbym8AbDizge1nt7M7fTfD6g8jS5/FX1l/VZpL7uSE3/hx5M6ZS8m69XgOqJxBdi1IksRDGx6ikW8jWge25tsT33Ii/wQAk2In0TuyN0lFSWw/u52VCStJ16aToctgdeJqhjcYzsSWE6ssASmXyVErz5UVsxkMoFAgd3LCnJ1D/vwFYLNRumkTqFQEz/oQz379qlyj3MkJVVgoLik5EGEvP3hZ12gyod/zp+NrZUAA5ozMKsdacnNR+J3LzDJnZOIcE3NZ5xNuXuU98mozUyvKMwqlXElcYRz3UPMH7W4EFwpqCYJQfSKoJQiCIAiCcIuRJInSjRsxnU3D+8EHULi7X/oYk4nMadNQBtch+N13QaXidPfumJKTHXOmTZiIe+/eeA26vMyoopU/I3d1xbN/fwoXL0buqiFg8uQKY3R79pD99tu43tUFz3vvxXDwIMpLBKtEzwVBuL1tT93OvKPzKDIWAbAifgWTYydXGTS32CyVskEAfkv+jW9PfsuIBiOY0HICqSWpjr5RNxuN8lxPHV/1xcvG/nf/qfxTjqBWniGP5v7NL3hsq4BWRHlGsSJhBWnaNOYfnQ9ysMmgqDT3stZcFhePadtOAM6ePUHDGyyoVWIqIV2bzrJ/ljGu2Tg0Kg15hjygYmDQzcmNpaeWkqvPZXTT0Xg6efLa7tc4lHOIqR2nsj9zP1FeURVK1V1rma+84ngd+dNPWEuKsZWUoAoJuchRNdfSvyWLTy5m4fGFLDi6gGivaOb1nMeCYws4kHWAUwWn+DPjT6Z2nMr99e9n4bGF7EzbWWW/HN/x4ylatYriNWuuW1DrbOlZjuYd5WjeUZbFLSPCI4JIj0jMNjMjG41ErVQT5h6Gp7MnKxNWklScxNbUrbiqXHmhzQvV6vljOHKE1DFjsen1KAMCkDk7g9VK3TWrKfrxR9x79ca1Q/uLzqFpFYtp62Zkd0iXHdTSH/rbcW6Fny8uDRqi27On0riMV1+j+OefcevWjeB330GyWjElJ+M5aNBlnU+4+ZRnqGZq7cHOmmRw1pRKoSLaK5q4grhaW8PVVmwqxknuhIvixstOFoSbhQhqCYIgCIIg3GKKli0j6w17k/bCJUsImjYVpb8/6c+/QPjXX+EUFlZhvM1gIHPqNEynEwn98gvkrvan/Z0jIjGlpABgTEhAu2MH2h07cGlQH5fGjau1FslmQ7t7F26dOxH4v9eQTEbyv5yH3NUV927dMBw+jMeAAWS9OQNVRDihH3+M3Nn5gk8nC4IgACw5tYT39r+HhOTYVmIqIbU0lQiPiErj8wx5qJVq3v/rfbL12QyrP4wY7xim7plKc7/mvNj2RVQKVZUZFjeL88uaXSqopVaqcVO5OfpAHcs7xtD6QzHbzBSUFTh6blVFJpMxtP5Q3v/rfXL0OeUbMSvsmVqX49jsN9DIQC6BMS/nso69Hs6WngWg1FzKhjMbGFp/aJVBLQ8nD3L0Ofya/Cu703djk2zIZXJm3jGTAfUGcH/9+6/ruiWLpcLXLk2bXLfyfeVB4c8Pf04jn0Ys6LUAT2dPXmz7IpIk8eXRL4kNiKV9HXvQxsvZXpauyFhEkLLijXOZXI57t+4UfP89Vq0Whdu172+3N3MvAAPrDaRbeDe6hnXFJtkwWU0VMq2ivOwl0U4VnGJLyha6h3dHWVhKxodvYEpJIeL7xRV6l50v/cUXUXh74zN2LOaMDMzp6bh364ZL/foETZ1arXW6dbmT4l9+ITpDcdnlB7W7doJKRd1fViFzcqZg0SIsOTlIJhPW0lLMWVmo6tSh+OefUcfGot25kzP334/X4CEAaGJbXdb5hJtLUlESQ9YOwWqzopAp8Ff7V6uv3rXUwLtBhazXm12JsQRPZ89aK6sqCLcCEdQSBEEQBEG4iUk2GzadDoW7O+bsHM4+/jjGf/5B3aIFga++Qua0N0h78inHeO3OnfiMHFlhjtyPP6Fk3Tr8nnyyQjN2VWQE2h2/A6Dfu9exPWv6m0Qs/aFCbyxj0hnSJ0/Ga8hgvB9+2L4tPgFjQgLW3Dxcu3RBJpMR9MYb2HR6cmfNJnfWbABKt23HlJxM2MKFyJ1vrnJfgiBcX0dyj7Do+CK2pm7l7rC72Zu5F4PFQO/I3mxK3sTR3KOOoJYknQt45ehz2HBmA+uT1hPsFsyUnVOI8ozCSe7ErK6zUClUtXVJ14Svy8WDWmAPymjNWiI9ItmWuo3/dfgf+YZ8x76Lubfevcw5OIcsXZZjm1kJpbrCaq8x+5+/0ez8m12tXbjrQBnm/MsLiF0PaaVpgL1E1I///MiQmCFVZ2qp7MGWjnU6kliUSF3PuszoPKPW+tCYUlMdrzUdO1zXG6cBmgBivGNQypSOgFY5mUzGhBYTKoz3dvYG/g1quQZhk2wUlBU43l/37t0oWLQI3a5dePTte83WHVcQx4YzGziQdYA6rnWY0XmG432Ty+SVMj09nDzwV/vzzfFv0Jt1DD6qJnHyPdi09kCx4dgxNK0qB38s+fmYU1IJePklfEePvuL1unbqBHI5rZJsl52ppdu5C03r1ih97EF8VXAdkCR0+/aROXUa1rw8gmd9CID/U08ic3EhfdJkcj/6CFQqXJo1u+J1CzeGFfEraOjTkKZ+TSvt25W+C4vNwqNNH8VgMdDMv/b/vhv4NGB14mryDHmX/P10Myg2FovSg4JQQ9cv910QBEEQBEG46vLnzye+bTtO9+hJ6pgxGP/5BwDfcY+hbtGCuj8tx/+555Bp7GWpipb/RPZ772POycGq1XF2wkQKFi3Cc+BA/J9+qsLczpGRWPPysGq16PbuQxUeTp2338Jw5EiFIBdA8apVGOPjyX7nXTKef57EPn04M3AgGS+8gFNUFO7duwMgUygIfu9dAl99BZ9H7MEv7datuPfujdsdopygIAgXN+fgHLambuXRpo/yUdeP8HDyAKBrWFfUSjXH8o45xuotesfrQ9mHWBa3jEExg5h11yxsko3TRad5vMXjtVpW6Vopf18upvzG4KPNHqXIWMSe9D2OgM3FMrXAHuTpFdmrwjbJSYW+pOCS591xdgfjfhvHmmmjMSug3vOvYVKApeDSx15v5Zla45uNJ64wjsO5hx3v0fnZcDbJBkDnkM5sGrqJhb0X1lpAC8AYHw9A+HffEvbll9f9/Iv7LmZpv6XVumnr5WLP1CosK0SSJF7b/Rp9V/Z19JxRt2qFwtvb3uvzGik1lTJp+yS+Pv41JwtOMq75uGoFAqM8o9Bb9Izf6Yzm4yWomzcn8selIJNRsnYt1pKSSscYE04D4FK/fo3WrPDyQt60IS0TJcqs1c/UMmdmYkxIwK1LF8c2VR379+rZiU9iLSpCMpsp+HoRAM4NG6KJjaXuzytx7dwZj549kbuIkmkXkqHNcHzv3qgMFgPT/5zOA+sfwGwzV9p/IOsAER4RTG49mVfav0L/qOtT+vNiGvo0BLhlShAWm4qr9XtaEIQLE0EtQRAEQRCEm5QlPx/t9h2owsJwadIEyWQi8NVXqbfpV9x79ABAplLhN34cDQ78haZ9e4xxcRQsWkRSn76kPfUU2u3bca5fv1JAC0AVGgqAKSUF/f79uLZvj8c99yBzdqZ0xw7HOEmSKN28GU3HDrh160bJxl9R1Qkm6M3p1Jk5k8gfllTo6yVTqfB5+GECX3kFz8GDkWs0BL7y8rV9swRBuOmZbWaO5x3noUYPMbn1ZBRyhSP4EuoWSquAVuzJ2OPI0CosO5c19PmRz1HKlExoMYGGPg0JcQtBKVfSr+6tWeq0Ojfk/dR+OCuc6Ve3H17OXqxLWkeu3t4Ty19z8aAWwOgmo2nu35yxTcfSM6InxkAvXLIKK2TIVWVVwir2ZfxJu5NmSu9uRbP6d1CiAVthUfUu7jpK06bh6+LL0PpDcVe5s/SfpeQZ8nB3csdZcS6zuDzQVdezbpW92643/cFDIJejbt68VjKgXVWuFcphXsz5mVrzjs5jXdI6yqxl/JX1F2B/GMbt7rvR/v47ZXFxlG7fflXXKkkSb+19iyxdFp91/4zNQzdXu1zkwOiB3OHRiu57DXgOGkTYVwtRt2yJc4MGFP6wlDND78dSWDF70ZiQAIBzTEyN166+oxPRWVCanVbtY7Q7dwH28oXlVMHBACj9/Kj703LkHh4YDh9G4ePjyOZS+vsT/tVCQmbPqvG6b1VZuiwGrxlM35V9WXxyMVabtbaXVKV/Cv5xvB6+bjibUzY7PrfNNjMHsw/SJrBNbS2vSvW97UHg89d+MxOZWoJQcyKoJQiCIAiCcBMyHD1KQuc7MBw5gkffvoTOnUP0ls34PDwKp4jK/WRkcjlytb0XhPeoUWg6dEC/dy/uffoQtWZ1lY3jy7eVbt6MTavFtWMH5Go1mvbtKPxuMbp9+wEwJSZiSk7GvWdPQufOIWbPH0R8swjvYcPwGjwIhZfXBa8j6LVXiVq7BlXQrZcpIQjC1RVfGE+ZtYwW/i0c22beOZMBUQNo4tuE7uHdSSlJIaHIftO4yHguSGKwGHio8UMEaAKQyWRMip3Es7HPOrJEbkd96vZhZKORqBQqekf2ZvvZ7aSU2PsoVqe8UwOfBiy5ZwnPtn6W2V1nI6sbTp0cS4WShFXJ0mfR17k1TmaJZl2H4KZyo0QDsqIbL7vhbOlZwtzD0Kg0DIweyOaUzRzOOUygJrDCOEdQy6NubSyzAv2hvylcsgTPAQNuioya8p/BH//5kc8Of8Y9de9Bo9Q4eluBvQShrbSUMwPvI23CRMzZV6//2rqkdWw4s4EnWjxBl9Aul1XabEC9AbznNgqZTcJryGBHMDng2cl4PTACS1YW6U8/g81kchxjjI9H4eWFwq/mJdT87+4NQN6OLdU+RrtrJ8rgOjjVq+fYpoqIIOiNaUQu/QHn6Gg8BwwAQN28eY3XeLuQJInpf07HJtlo6teU9/96n0UnFtX2sio5nnec7058B8DElhORJInndjzHuN/GkVCYwEcHP6LUXEr38O61vNKKPJ09CXYNvnUytURQSxBqTAS1BEEQBEEQakiSJGx6/aUHXkWGo+dKbGnatq3WMb6PPYpLkyb4PzmRsM8/I3LlCoLffuuC48uf3C3+ZbX9PO3tTd09etlLTqU+8giZr79O8dp1ALh3745MpULp7V3t65C7ulYZUBMEQTjfPwX/MGLdCABaBrR0bK/rWZeZd85EpVDRLbwbMmRsTtkMVMzU8nDyYEzTMY6v+9bty8NNHr5Oq79+Ng7eyPpB66s1tnt4d55t/SwA/aP6Y7Qa+ebEN7ip3K6oZ4lH/ca4l0FC0oGLjvM8lkrfZckAONevj0aloUQjQ1akvexzXmspJSmEe4QDMLzBcCw2C6cKTnF3SFfSJk2mZNNvAHQJtZdyC3YLvmrnthmNSObKpcEupWjlCuQaDUFTX79qa7mWyktwHco5RGxALDM6z6BtUFt2p+92ZI+4duqE7LwA3em77iL3s89qfO4ySxlv73ub2IBYxjUbd0Vz6P74A7lGg7rFuWC72113UWfaNOrMnIn+wAHSJ03GZjQCYDhxHOeYmKvS58ylSWPKvNR4/RVPmeXSJQglkwn9nj9xu7NLhfPLZDK8R4xwPGAU+NqrRCz5nqBpU2u8xttBli6L2Qdnszt9N5NiJzG/13y6h3dn3pF5pGvTK4wtNZVeMpv1ajNYDOzP3M/438bzwPoH2JJqD4JOaDGBnwb8xGvtX+Ofwn8YvGYwi08u5oGGD3Bn6J2XmPX6q+9Tn38Kb41MrRJTCZ5OIqglCDUhglqCIAiCIAg1pNv9B/EdO2HJy7vkWEteHulTXqQsLr5G5zQlJwPg1q0bmrbVKxGiadOGuitXODKn1E2aIHd1veB4hY8PMhcXLFlZONevj9LX3j/Ec8gQordtxffxxylasZL8efNwadEcVWDgBecSBOHWV2oqZX/m/msy94///AjA4JjBF+yB5af2IzYwli0p9ht25ZlaE1tO5J0737kt+leEuoc6gjCXo4V/C0LcQsgvy+eOkDuuqIRenab2BywyT/51wTFGq5Fnvy0i8B97po1zdDRymRyDmxJliY6yU6cwpaVf8PjrSWfWkaPPoa6nPfsq0jOSjnU6AtA33ZfSTZvIfsv+YMg7d77D5qGbq11y76Ln/fNPitetJ7FHT/5pFUti33vIePU1bGXVCFpYrWi378CtS5eL/n6/kZz/vfZel/dwUjjRI6IH6dp0DuUcAkCuVuPa2d530ykyEoCiZctrHBxILE5EZ9bxUOOHrvjvznDkKOrYWGQqVaV9nv37ETRtKtodOzg7/nEMhw9jPHkKt27darTucjK5HDq3pVmilb9S9zi2F3y/BMOJE5XGm9LTsen1qFu1rLTvv9YpYsAAACAASURBVPNqWrd29NoSqpZYlMi438bRa0UvvjnxDT0jevJAwwcAeLndy8hkMt7d9y6SJPHhXx8y+8Bs7vzxTp7b8Rz5hvzrssYNSRvouqwrj/72KHGFcUyOnUxsQCwPNnwQsP/8jWg4gnX3rePhxg8zKXYSL7e7MUuCN/RpSEpJCgaLobaXUiM5+hwMFkO1yvwKgnBhtV/sWRAEQRAE4SZnjI9DMhoxpaSgvEg5GclqJf/rRZSsXUvp1q3E/L6jQq+pyzpn4mlcmjcn7POaP6l8ITKZDFVwMKakJFw7dqi0PeDZybh27EDW9DfxHvHANVuHIAg3h/f2v8fqxNW83O5lRjYaWaO5VsSvYH/WfgZFD0IlV7E1dSv31L2H6Z2mX/S4nhE9eXf/u5wpPkNBWQEAIxuNvC0CWjUhk8noF9WP+Ufnc3fY3Vc0h1fDZuQB2vhTFxyTrcvGIgelzf51eVlcg7sTrse0nBk0GNfOnQn/auEVreFqSi5OBiC61BWbTofc1ZUpbadwMPsgTu9uwgIo/O2/812ULgQpr6yMbv7Xi7CWFONcLxpVaAipY8Y69nn074/NYKD4559ReHsROGUKktmMJScHc04OktGIS9NmKNzsASzDkaNYCwpw6351gibXy9imY4nyjHIErHtF9OK9/e/xU/xPtA5sDYDPyAfBYiH0008oWrmSrDemY0pKwvm8MnqXK7EoEYBor+grOl6SJMwpKWjaXPjhIu8HHkDu6krGK6+SPOIBUKnwHHjvFZ2vKpH97ydr/U7+3rKSO8d3w1JYSPZbb+HeqxehH8+tMNaSY++ZJ0o+19yCowv44sgXuKncmNByAv2j+hPmHubYH+QaxMQWE5l1cBbjN493lNP0cPJgZ9pO7lt9H292epO7w6/s87Y6bJKN6X9Op55XPR5p8ghdQrugVqp5tNmjlcZ6uXgxpe2Ua7aWq6Ghd0Nsko1Xd71Kr8he9K3bt7aXdEW2pm4F4M6QGy8bThBuJiKoJQiCIAiCUEOWnJwKf1bFptORNOBezBkZKLy8sBYVoT9wAPe7r+w/s6bEJMdTy9dSeVBL075DlftdO3Sg3sYN13wdgiDc+P7KsmfofHzoY4bEDMFFWb1+Ptm6bOIK4zBbzSjkCrqEdmHe0Xlk6bLYeGajY1yfyD6XnKtHeA/e3f8uW1K2UGouRSlT4q66socHbjcPNHyAMkvZFd9kVQYGYnJRwJm0KvebrWZ+ObqUnv8GtPyffdaxLyfMHaPGiKuXP+b0GyNTK6k4CblNIvCZWWR02kvox3OJ8Y4hxjuG+IRPATCfTUOSpCsuJWc8fZqc99+vcp9Mo6HO228hd3Ym8/XXKVj0DW5d7iJr2jRHtjaAsk4dorduQSaXo92+DZRK3O68uW6WlpfBLKdRaRgUM4glp5Ywvvl4ojyjcO3UCddOnQCQOsYCULTyZwJftN+Iz9JlIUNGoGv1s8ZPF55GJVdVCEZcDmtBATa9Hqewix/vee+9KLy8KFqxEteOHVD6+FzR+aqcu9OdnHVSwK79SOMk9Afs5T/1+/Yh2WzI5HIKvl+COTMDl0aNAVD6iwyRmjicc5iP//6Y7uHd+V+H/12wXOvIxiNZnbiavZl7ae7XHIVcwSONHyHSM5KXd73MS7teYvuw7biqzmVVpmvTyTfk09y/5v3MsnXZ6C167ou+j96RvWs8X22r71MfgC2pW9iSuuWmDWptSdlClGcUUV5Rtb0UQbipiaCWIAiCIAhCDVly7U++mrOzLzgmb8ECzBkZuN11FwEvPE/S4CEYDh68oqCWpaAAS04OzvWu/X+GVKEhoFBUu8ShIAi3n5SSFB7f/DgZugy6h3dna+pWdqXvomdEz2od/8z2ZziZf9Lx9YzOM8jWZTO8wXB6R/bGKllRyVXEBsRecq5A10Ca+zdnc8pmfFx8iPKKuiq9a24Hfmq/Gj2pL5PJMIT44pGRi9FqxFnhXGH/F0e+YPvOxfQEnD+Yht+AEY59p9sF88Ud9Zn+VwTFK3++4jVciVx9LisTVvJH+h+0CWrDxJYT0Zq0fHXsK0LzAK2O0t9+w3DsOOpmTbEZDFjz81H4+mLNz8daWHjFQYqin1eBUkn01i3YSkowJiYi12jInTMX55gY5M729zDgxRfR7txF6iOP2L+e8gLOMTEYjh4j79NPMZ4+jUv9+pRu3YZru7YoPG7+zMTHmj3Gzwk/M+X3KczrOc8RODBbzQzbP5FJnSOI/uYbPPr2IXPf7+xa8zm/jK3Pqvt+ccwhSRJWyXrBcpoJRQlEeUZVu9xmeUZ+eWlHU0oqAKrwSwfF3Lp0wa1Ll2qd53LInZ3Rta5Pw2OnOFOUhOYv+8MF1uJiyk6eQt20CYVLl2LJysJv4kRABLVqwmg1MmPvDALUAcy8YyYaleaCY1VyFZ92/5SEwgQ6Bnes8Jn4WvvXGLVxFJuSN9GxTkcCNAEUGgt5eOPDFBuL2TRkE75q3xqt9UzJGQBHCdWbXYjbzdeD978PPUiSxLG8YwyKHlSLqxKEW4PoqSUIgiAIglBD5vJMreyqM7XMGRkULPoGj/79CZv3Jc4xMaibNkX/14ErOl/hD0sBeyPya8137FhC58654jKJgiDc2vRmPZO3TyZdm45SruT5Ns/j4+JTIcPqYgwWA3EFcQytP5Rl/ZehUWr44vAXSEj0juxN26C2dKjTgdaBrasdnOoZ3pNTBaf4I+MPmvo1rcnlCZdJGRVJcL7kKOtWzmg1sjJhJY3S7D2QApq0rrDfVeWKzqxjnzkem06HTae7bmt+d/+7fHb4M7RmLQuPLeSxTY8x5fcpJBYn0qkkAACZiwu5H30E2H+nA46sIVNyykXnt5lMVfbDMmdnU7R8Oe7duqEKDMQ5JgaPPn1w69KFiKU/UOetGY6xCnd3Qj+ei0ylwvWOO/B99FHcunRxlLHTHziA8cwZTElJuN19c5UevBAfFx9md51NcnEyXxz+wrF9+9ntZOuzeadDFnJ/PzJefoW8RV/TLl7CGnfa0WfrcM5hBq8ZzEMbHqpyfrPVzKn8U9TzunT5QkteHnlffkli7z6kv/gSAJLJRNnx4wA4hUfU9HJrJKjPvfho4chvP5D/20ZS/MGigMxXXsFw4gSmxERsOh2GI0eQubggP+/fdMnFyWTpsmpx9TcPrUnLSztfIr4wnmmdpl00oFUuxC2ErmFdKwX5W/i3INIjkml7ptFrZS/mH5vP8zuep9hYjMlq4psT39R4veUlVCM9Ims8141ALjt3C/tmKClstVkZ8MsAPj70sWNbtj4bg8VwywQaBaE2iaCWIAiCIAhCDZVnav23/KAkSVi1OnJmzQYg4Llz5XVcO3fGcOQIqY8+huHYsWqfy6bTUbh4MW7duuEcE3MVVn9xTuHhuPfocc3PIwjCzUeSJKbumUpScRLze87njxF/EOYeRq+IXuxM24nWpL3kHHEFcVglK3eE3EFj38a0DmxNhi4DlVx1xQGpPnXPlSls4tvkiuYQroxng2b4aOH02SMVtq9PWk/E8TxGbbMha1AP14iKmcZuTm6cLT3LZu1BwP57VZKkCmX2rpWEogTuDrubVQNX8e6d73Kq4BT7svYxvMFwHpTaIXdzw//pp9Ht2YNu7z5HeUTXzuVBrYuvMWXEA5zuUTFrUZIkst6cgWSxEPDC85WOkTs7I1OpKmxTt2hBzJ4/CP3k3A1SVWgoysBADAcOot22HQD3bteuR8/11im4E70ie7HxzEbKLPbA4Ir4FXg7e6N1svH9QA9MiYm45xsA6HrUxpniM7y9920e3vgwScVJnMg/UeVn0fL45eSX5TOg3oBLriPngw/JnWPvT6XdupWzjz9BfIeOZM+cCfyb1V6Lwnvfh1UOEe8vR5adx6KecmYOk1OWmU7KeT1Pdbt3o/T3dzwgYLKaGP3raMb9Ng6T1VRby78pxBXEMWL9CHac3cGUNlPoElqzrDuZTMaXPb/k2dbPopQp+fzw5xzKOcT0TtMZUG8A35z4hm9PfFujcySXJOOqcr1gecSb0eK+i2nq25RSUylmm7m2l3NReYY8UkpSWHBsgSMbPbkkGYBIz8jaW5gg3CJEUEsQBEEQBKEGJElyNN62nFd+sHTHDs4++hjxbdpQsn49PmPHoAoOduz3HT+OgClTKDtxguT7h1GwZAk5c+Zg1V786fTCn37CWlyM3/hx1+aCBEEQqum7k9+xKXkTk2In0TG4o+Op9X5R/TBajWxJ3XLJOcpv9JQHn9oFtQPg6VZPo1aqr2hdQa5BRHtF2+f1E0Gt6ymgib1EZPaJc5nIkiTx3YnvGHpEjTIoiPrLVyJTKCoc56pypaCsgHw3e8Mtc04OubNnk9inL2Xx8ddsvWarmbMlZx3fL/2i+rH0nqU81/wZXmr7EtKRk7g0bYr3yAdRBgaS+9FHmNLsPcNc27UDhQJTyoUztewl4E5izcvDZjQ6tmu3bUO7dSv+Tz2JU3h4tdercHdHrj73cyGTyXDt0AHt7t2U/Porzg0bogq5+Up0Xcyg6EGUmkvZmrqVsyVn+TPzTx5s9CDvd3mfbXUK2NxKjkkJBTEBtDgjMXD1QJbFLePBRg8y8w570Ol00elK8y79ZymxAbF0Dj7Xn1T/11/2kpD/YTxzBnXLlsTs3oXcwwNjQgIeA+zBMJlGg9zJ6RpdffUovLwobhiMWmdhXVsZDXsM5UyMOz+90BplUBCyf79nbHp9hdKD65LWkV+WT3JJMsviltXW8q9YsbGYwrLCqzbfjrM7KCgrqLQ9S5fFqI2jMJgNfNX7Kx5u8vBVOV+IWwhjm47ls+6fAfBQo4foF9WPNzq9Qc+Insw+OJuD2QeveP7k4mQiPCJuqRK8LQNaMihmEBISBYbKf1c3kiz9uQzInWk7gVsve04QapPoqSUIgiAIglADNp0OyWB/Qtick4O1qIiSTb+RNW0aCm9v3Lp2xZyTjd9jj1U4Tu7khO+jY/EaPowzg4eQ8/4HSEYjznXr4jlwYNXnMpkoWPQNmnbtULdsec2vTRAE4UL+yvqLjw5+RM+InoxpMqbCvhb+LQh1C2V90nrui77vovMcyzuGj4sPgZpAAEY0HEEDnwZ0qNOhRuub33M+65PW08inUY3mES6POtqeQaxPiHNs252+m9Lk08TEW/F6aoyjT9T53FRuABS62W++Fv30EyVr1wGg3bYd55iYa3JjNrU0FYtkoa5nXSRJQr93L4pPP6PD33+T3nwbxoQEAocPR+7igt+TE8maOg2rVovMyQllUBCq0JALBrUkSaLg++8dXxvj41E3awZAyfr1KAMC8Bk9usbX4HnfQIpXr6bs2DH8Jz1T4/luNG2C2hDiFsKq06tILEpEIVMwKHoQga6BtA5szQz/6fyefJwPyvpj/PQr3PQSswbOo1NwJ9K19qy6+MJ4mvs3d5QvSy5OJqUkhYcaPeT4vpKsVlJG2YMVnv37ITsvUGVOTcW9d2+Ufn7U/2M3KJXIZDICnp2MtaTkOr8jVWv8xBROLf4cn2f68nzsePzV/sw7Oo/hX31LlM2H1Mcfx5ySisLHG0mS+Pr413zy9yc08mlEqamUI7lHGMWo2r6MyzJs7TAydBkce6T6FQ8upMRUwtPbnqaRTyOWD1hOqamUElMJIW4h7EzbicFiYMk9S4jxvvpVEjqFdGL1fasdgQ6VXMVbnd/iWN4xZh+czfd9v0cmk7E+aT1bU7dSairljpA7GNloZIV+cIeyD9HItxFqpRqbZONkwUm6hd0a5UjPV555lleWR6BrYC2v5sLOL+t5LM/+PZpckoxaqXb8m0cQhCsnMrUEQRAEQRBqoLzkoMLfD3NqKvEdOpI1bRrq2Fhidv5O2JdfEPXzz46m4v+lcHND3bIF0r9PcBuOXvg/5iVr1mDJzsZ3/PirfyGCIAjVYJNsZGgz+PTvTwlyDWJG5xmVgg0ymYx7ou5hf9Z+cvW5Vc5jsVnQm/VsS93GnSF3OuZwUbrQMbhjjQMY/hp/RjcdXaEHh3DtqYKDsTgpaLYlmZTRYzAZDSw4toABJ9Qgl+M1dEiVx5Vn+TWIsQczS9auQ9kgBkOYP7lz5vBnpxZkfTT7qq+3vPdXPa96pD8zidQxYzGnpeHRvx+Gw4cB8Oh3DwBegwahCg/HlJiIU926yORynCIjLxjUKvh6EXmffIpTPXvPpuJfVmMptGeV6P8+jKZNa2TKmj9nrGnfHlVwMMrgOviMHVvj+W40cpmcgdED2Ze5j7VJa2kV0MpxI9tf48/HPT5lxaPbCWxnLwfXtsCLTsH20pDBrvYM+Rl7Z/DFkXN9uX5P+x2gQgm5op9WOF5nvv46+r//BsBaWoq1qAin8DAAZCqV4/NJ4eV1WZl215J3rz50WryGx9pMQCFXMKrxKNxV7nyZ+B1OkZH4P/kkADJnZ2bsncGcQ3PoEdGDBb0WEOUVxZniM7V8BZdHkiQydPb+dm/seYNMbWaN5ksptv8cnyo4RYY2g2Frh/HQhoeQJIm9mXsrZABfC1GeURV+X2lUGsY1G8fR3KPM3DeTXH0ub+19i0PZhygoK+DDAx9W+J7+9cyvPPLrI8zcZ89OTC5JpthYTKuAVtdszbXFX23PNszT59XySqomSRLv7X+PV3e9CkC3sG4cyz3Gtye+ZV3SOqK9om+p7DlBqC3iX/iCIAiCIAhXQJIk8ubNJ/XfDKyg117D59GxBLz8EiFz5xK+YH6lfhgX4tKoseP1hfprSVYr+QsW4tK4saOPhyAIwrVUZinjdGHFsl3rk9bTe2VvDuUcYmD0QFxVVQfs+0X1wybZ2HhmY6V9axPX0nlpZ2YdmIXeomdwzOBrsn7h+pMpFJhC/amTZ0W/dy9vf/8oRzMP0f0YuN11F6qgoCqP6xHeg9FNRtOryX0YlYCrhtWjY/i5Xj4AKoOZ/K++dvSwtBkMGBMSarzexGJ7UCukQEbp5s14P/QQ9X7bRMj77xMy5yOCZryJ0tvbfm0qFXVmzMBzyGBCZs8CwCkiAlNKCpIkVZjXcOwYOR99hHvPnkStWQ1A4ZIlJPbsRfb7H2DJzETd8urcbJbJ5dRd/QvRmzZVmQV3KxhYbyAyZGTpsugY3LHSfplMhrppU5DLecllYIXt5SVNl5xa4th+KPsQkR6RBLvZg14FS5aQNX06TlH2Xm/Fq9dwdvzjAJhSUwFQhYVdm4u7RjydPRnVeBRbU7fyxp43+Cr4NHU++4TPOpTwU/xPPNbsMd7v8j6ezp5EeUaRXJyM1WYlpSSFPRl7AHugpDzbrZwkSUzePplfk3+9puvP0edctGdSjv5cH9uVCStZeGxhpTEmq4kP/vqAmftm8unfn7ItdZtjn9FqrPBzW97rCGDMr2NI06aRZ8gjtTSVfZn76FCnw3UPRAyKGcSIBiNYFreMvj/3RWvW8uFdH7Ly3pUMrDeQhccWciT3COnadN78802cFc6sPr2amftmsiLeHqRtEdDiuq75enBkahluzKDWx39/zPenvsdkM6GSq+gc0plC4//Zu+/4qKr08eOfOz1Tk0lPSIUQCL0jRarAKmIBUXdxLWvbVbBhWxDr7uoXC/pTF9eCi2AHBEUsgCi9hJZAICGkEBJSJ2Uyk6n398csgRg6gVDO+/Xy5eTOuec+AwmZuc85z2Pj1S2vkmZN4/kBz7d2iIJwSRDlBwVBEARBEM6A7dNPKX/jDQAs112HecwYzGPGnNFcurT/JbUkCVdWFn6Xq9mNqbqfl+MuKCB21htidZ8gCOfFlJVTWF+ynvW3rseoCZSHO3yzE2B0wujjnptsSaajtSMzt8xkftZ8vhj7BcG6YH4r+o0Za2fglb18mf0lCeaES3Il+eXM0K498v5A2SVv+k5m9p2Iqvozgm+eeNxzOoZ2pGNoRzYf2synQxUMGTKReXWf4e8nsaKbkghvEP98x07+v16g7cxZHLjvfhybNpG6c8dZ9TPaW7WXBHMC3rUbAbDecUfj799j/U439OuLoV/fxq81CQnIDgfe8nLUEREA+Oz1HHxsKqrwcKJfehFJqST8kUfw2Wy4iw5Q9dFHAAT1aLnve6XJ1GJzXYhijDH0i+7HhpINxy1NqtDr0ffrS/03S/A/MBmFTgfAG8Pe4NOsT3ln+zuU2EuINkazv2Z/Yxm58rffoeLttzEOH07s66+x93/JRn9dHT57PZ4DBwDQXGRJLYBJaZP4JOsTFuQsACC091S+K9rAE32e4La0I6UGkyxJuP1u/pPxH+ZkzqHB28DU3lOZuWUm/aL78cGoIwmjvNo8VhSuYEXhCq6KvwqlQtnsumdrddFqHljxAEa1kQGxA5jQfgJWnRVZlkm1pgKw1xYocTo2eSzf7f+OkvrmO7V+KviJubvnYlAbcHgcyMiMTxnPDSk3cNcPd6FWqkkyJ/GHpD9Q465pPK/eW8/zA57n2XXPMj9rPrXuWgbGDmw2/7mmVqiZ1n8a16dc37gDq1dkLwCe7Pskmw5tYtqaaYTqQvHjZ97V83h/5/sszFmIy+fCorVckr2bQoNCASh3Hnsn+Lny313/JcYYw1UJVx13zGd7PuODjA9oF9yOfdX78Pg9jE4cTW51LqMTR9Mzsud5jFgQLm0iqSUIgiAIgnAK/E4nklaLpFDQkJVF2cuvYBg8GOufb0Pfq9dZza3r1AlN27aYhg2l8oMPqf32W4InTGgypmbRIlQx0ZiuOv4HKUEQhJbi9DpZX7IegPd2vke8OZ6r4q8isyKTWGMst3a4leTg5BPOcU3yNYFSTvXF7CjfgYzM478+TkpICmFBYaw+uJrr210vEvWXGLPeyuHbw9dnW7AWbsIfHY1x8OCTnhuqC2VZHwXrfN+iUWpItnZgV+UuXhr6Mt/ueJTrvl9OkfshHJs2AeA5eBBtUtIZx7qnag+dwzpjX7gSbUoKmjaxp3W+JiERAHd+PuqICGS/n0PPP4+nqIiEuf9FabEAEHbfkbLBjm3baMjIQNcp7VhTCsdxX9f7CNYGkxZ6/D+3sPv/SuHtt1N4992E3nEHxmHDMGvMDI8fzjvb32FJ7hLu7HwnhXWFjE4cTd2qVVS8/TaW668PJCBVKhI+mYsjPZ3yWW+yf9y1+KpsIEkX3U4tAJPGxMM9H+bFDS8C8OqWV+kc2plJHSc1GZdkCfwMvbv9XXpG9GRr2VZmbpmJRqFhY8lGPt/zOePajkOv1rPl0JbG8yavnMzNqTczMHZgk95Op0uWZWbvmM3Wsq081fcppq+dTtvgtnQJ68KvRb/yS+EvaJVa6jx1TOo4iT5RfViYsxCAv/f7O16/l8yKzGbzLsheQJwpju9u+A6/7OetrW8xd/dcFuQsQCEpuCH5BraXbefVLa/SLbwbkfpIxiSOYVy7cSSZk/jHhn/w2Z7PUClUDIoZdMav72x1Cu3E/KvnI8ty4+9Lk8bEiwNf5O6f7qagtoBnr3iWDtYOvDb0NRweB+tL1mPWmC/JErwapQa9Sk+Nq+bkg1uILMu8uuVVANInpaNRNl1M4fK5eHH9iyzJXcLQuKHM6D+D4V8F+plZtBae7vf0eYtVEC4XIqklCIIgCIJwArLXS8W/Z1Mxezbq2FjUMTE4NmxAFRFBzP+90liW6GwojQbaLv0OWZap37SZ8nffxXzNNSiCgoBAPwf7unVYJ01CUrb8ilhBEISjeXwenl33bOPXH+/6GIB/bvgnXtnLo70e5fZOt590nuvaBvrgrD64mgdXPghAgjmBf4/8N9m2bLJt2YxrO+6cvAah9Zj/MIaab74ht3MIbTOr8IUriHziyVP6/XV4BX6Nq4Z7utxDqjWVubvnMiRuCGv+ciPz9AuZ9POREmKeg8VnnNSyVRyk3boDdB89AsfmpYQ/NOW059AkJgDgLijA0LcvZa/8H7XffkvYlMnoe/c+5jn6Hj3Qt+AurctF76je9I469p/pYYZ+fYmcNo3Kjz6i6MHJqGNiCH9oCinjxjG0zVDe3v42ZY4yQqp9pB1UUPrWv9C0bUv0C8839jfT9+lDUI8euHL2IbtdqGNiCOreHaXReD5eZoubmDqRCe0n0OuTXnhlLzOumNFsIUFqSCqdQztzZZsrubfrvczcMpOMigyev+J5/r7m7/xj4z94I/0NxiSNYUPxBqw6Kze1v4mvsr/iwZUP0j6kPZ9f8zlq5amV3T6a2+dmxroZLN2/FI1Cw23LbqPOXcfTfZ9mTNIY0kvTueOHO3D73Vh1VuZlzWNe1jxUkopRCaMwaUwkWZL4Mf9HXD4XZY4yHB4HcaY4tpRu4b6u96GQFCgkBY/2fpQkSxIz1s0gzZrG9P7TKagtYOyisWwv387g2MFM7TO1MbYOoR3YWb6TflH9Gncrt6bf/731i+7H5B6T2Vu1t0kZX71az4j4Eec7vPPKqDbi8DrO2/UqGyobH/+Q/wOJ5kQ8fg8qhYokSxKLchaxOHcxt3a4lUd6PUKQKoh2we0Y3ObkizkEQTgzIqklCIIgCIJwHO6CAg4+8QQNO3ZiGjUKv8PR2Dg+5tWZLZLQOpokSUQ89hiFt99OxXvvEfHww3grKiiaPAU8HsyjR7Xo9QRBEI7ltfTXWJa3jCk9pvDWtrcAmHHFDAprC0kvTWdk/MhTmidYF8y7I99lxFcjKHOUMTxuOC8NegmTxsQVQVew/Kbl5/JlCK3EOGQIHXZl0kGhQHa5GsvAnQqzxoxaoSZIFcQdne/ArDEzOjFQ5nJ8ynhu7fU1g7vfRMqCdNy5uXiKis44zsK3XuWBpX48hatBqcRy4+n3dlNHRyOp1Xj+11erZskSTKNGEfbXv55xXMLZsd42iZBbb6Fu5UoqZ79HyfRnMA4ZwmtDX+PxXx/ny+wveXGxj+iD/w8PEPvmm0i/K2EpqVTEvvZq67yAc0AhKVh43UK0Sm1jH7Gj6dV6Phv7WePXT/V9HdzFNAAAIABJREFUqvHxF2O/YEf5DhbkLGBZ3jKcXifjU8bzYI8Hua/bfSzKWcSLG17km9xvuKn9TacV18zNM9lYspG9tr1M6TEFrVLLzC0zARrL0nYP745VZ8XhcbDsxmVsKd2CWWOmg7UDOlXg35YkSxIyMo+teow1B9egV+n5cPSHALQLadfkmte3ux6by8bQNkOBwEKLLmFdyKjIaLbI4vkrnmfjoY0MjDn/pQdP1b1d7z35oEuQXq2n3lN/3q6XX5Pf+HhO5hz2VR/pN9o7sje51bkMiBnA3/v9vfH4ousWnbf4hLPnd/uQ1ApRPeAiIpJagiAIgiAIx1C/aRMH7v9r4MbG669hvvpqAHw1NXgOHUKXmnpOrmvo1xfLdddR+eFHWK69lsr3P6AhM5PIGc+g63bpNXsWBOHC8kP+D8zPms+kjpO4p+s9OLwOVh1YxYSUCWf8Qb/OXQcEmt6bNJd27x8h4PCuLOk0EloQWNwxof0EuoZ3xawxN3muU2gn2oe052PFXj5bspg93bvjOXjwjOLz2e3wbSCpqs7IwThiBOrIyNOeR1IqUcfH4y4owFdRgc9mQ9+7l7gp1soklQrzqFGoY2PJHz+B2h9/IuTmibw69FWmrZlGsHMp4AfANGJ46wZ7nhwuMXi6JEmie0R3ukd05+m+T1PZUEmMIZAYUyvU3NT+Jr7Z9w1zd809rd8TZY4y5u6eC8DLg1/mmuRrKKgtYOaWmcQaY4k0BH4elQolD3R/ALvHjl6t58o2VzabK9kSKIW7vng9XcO7sq1sG2uL1wIQZ2paNlKSJO7qfFeTY28Nfwuv30uUIarJ8XYh7ZolxYQLg0FtOK9JrbzaPAD0Kn1jQuu1Ia+xOHcx64rX4fV7L/ndcZcyWZY59OoWJJWCyCk9UOhEuuRicOkVVxUEQRAEQWgBVXPnojQYSF6yuDGhBaC0WM5ZQuuwiCceR6HXUzTlIWq++QbrHXdg/eMfxU0yQRDOqbyaPJ5d+yzdw7vzaO9HAXio50Msum7RWf37c2enOwHoH92/ReIULm1/7/d3xiaPbXZckiRuTLmRXZW7eG7jC5Qa/dQX5p3RNbLnvovG6cUZHkiyhkw8vR0mR9MkJODOL6AhOxsAbfv2ZzyX0LJ0aWlo2ral8v338ZSWolaoeWXwK8RoI9AkJpL49deNZQeFk9Or9cSZ4lAqjpQSlSSJ69tdT35tPtm27Cbj00vTeWr1UyzKab5jZXflbgD+O+a/XJN8DRDYNdXR2pFBsU37V01MndgsEXW0VGsqs4bNYumNS5nWbxoAP+X/BDRPah1LWFBYs4SWcGEzqA04POen/KAsy+RW56JT6ugWHlhgqFaoGZkwkm7h3fD6vQDEGk+vJ+Olylfvoe7XImSvv7VDOS53UR2y70h8vho3/lo3vqoGHOmlrRiZcDpEUksQBEEQBOF/HJs34ykrw3PoEPVr1mIcOQJ11Pn/kKsKDSXisUdx5+aiDA8j9L77znsMgiBcfp5b91yg/NOQmagVp98b5Xju73Y/WydtbSwVJQhnamzyWDQKDQtzFlJqkTmUu/O055C9XmrnfUp2vIrY6TMwjhiBYdCgk594HJqEBNyFhbj27AVEUutCIkkSMf94CW9VFWWvvhY46PfjKyvHNGY0QZ07tW6Al4gR8SNQSAp+Kggkkjw+D6+nv86dP9zJ0v1LeWHDC03Kt0EgqaWQFHSwdmhyfN7V85qUPzydGKIMUbQNbotWqSWrKguL1tJsx6dwadCr9dg99nM2f4O3gYd/eZhrF11L3/l9mZ81nyRLUmP5zmhDNApJ0SSRJZJaAQ27K6lZlod9Q0lrh3JMvloXZW9vx7boSAlJb/mRBKmn3NkaYQlnQCS1BEEQBEG47MmyTMXs2RTc9mfyb76FfUOHITc0YBo2rNViCp4wAeuddxL7yisojYZWi0MQhMtDti2brWVb+UuXv7T4inVJklArWy5JJly+LFoLIxMCPd0OhIE+vwy/4/RW66d/+S7mKhfcMo7I0WOJe+ftxnKJZ0KTmIjscmH/7TeU4WGorNYznktoeUHdu2O+6irsv/2G7PXiLS8Hnw91VHRrh3bJCA0KpXdkb37K/4n8mnwmLZvEnMw5TGg/ge9v/B6tUsv7Ge83OWd35W6SzEno1fomxzVKDSrFme+eUylUpIYEKioEa4PPeB7hwmZUG89p+cEd5TtYUbiCaEM0E1Mn8mSfJ/nnoH82lsWMNgb+/TicyJKQjtmv7nLkq3UDULeyEH+Dt5Wjac5n9wDg3FHeeMxbFngfoQzRNj4WLnwiqSUIgiAIwmVH9vup+Pe/cR84gOzzUfrii5TPehNtWke8JSUo9HpC/3o/hiuuaLUYJYWCyCefwDBgQKvFIAjC5cHutvPaltdQK9SMazuutcMRhBO6o9Md9I7sTcjIUWi8UPXbL6d0XvWCBVTMnk3V3LmUW1WMmTS9ReLRtg3083Fs3owuRezSuhAZhw7BX1ODY0s6nuLA7gF1jEhqtaRRCaPIr83n2m+u5aD9ILOGzmLGFTOIM8VxddLV/JT/U2N/xTp3HVtKt9At4tz0iv1b978BkGQ+sz5iwoXvXJcfzKjIAGDmkJk83udxJqVNol1IO6L0gUU/h/vKHU5khevD0Sg15yyei4mv1gVKCb/DS92qotYOpxm/I5Bokz1Hyg96KpxIOiXaJIvYqXUREUktQRAEQRAuO/ZffqH8zbcon/UmVXPmYPv0M0Lv/gtJX31F5PTpJC1ZQsRDDyGpxc4CQbjcFNQWcPN3NzfrDXIpeyP9DTaWbOSJPk8Qogtp7XAE4YQ6hnZkzpg5xAwaiV0HFT8uPek59evWUfLMDCo//IjYgnpqB3dBqwlqkXg0bdsGHvj9ovTgBcowcCAKk4kD991H+ZtvAqCOFkmtljQiYUTj46+v/brJ1+NTxtPga+Cp1U9R667lq+yvqPfUc3PqzeckloGxA1kwbgHPDnj2nMwvtD69Wo/NZWPQ54M4UHugxefPrMgk3hSPRWtpcvz3O7XCgsJQK9S0MbZp8RguVr5aN+pwPUHdw7GvPYivxoUsy3grnciy3Nrh4Xd6jjx2+/BWNeDOq0EdrkcVocdf5z5nO8z8Ti8NObYLcgfbxUh0xBQEQRAE4bJjmz8fAEmtpnrhIoJ69yJi6lQArJP+1JqhCYLQyjYUb2B35W7+uPSPrP/j+hbtLXUhKrGX8M2+b7gh5QZu6XBLa4cjCKcsPjiJzfESvXZmNjnuq6vD73Bi++xT3PvzUOj12FetQpb9+OvqUABSm5YrE6UKCUEZFoavokIktS5QSrOZpIULqHj7bWqWfAuShEoktVpUWFAYn/zhE+JMcYQGhTZ5rlNYJ6b3m87Lm17m1u9uxeaycUX0FaSFpp2zeNqHiJ/FS5lBFSjNXuOqIac6hzhzXIvOn1GRQe/I3s2OJ5gTkJBIsgR2ASokBR1DO57T7+WLja/WjdKiwTIqEWdGBeXvZ6AwqXHn1RJ2dxd07Vq3LOjhnVoAFR9k4D5QB5JE8Li2KE2B3XaeUgfahJbvx+curKVizi7C7+2KNtly8hOEExI7tQRBEARBuKw4d+ygft16AOyrV+Pevx/L2GtbOSpBEC4URfZAqRSXz8Weyj2tHM2Z2ViykUdXPYrP7wPA7XPzQ/4PePxHrU6V/XyV/RXjvx2PJEnc0emOVopWEM5MG1Mb8qIkVAfL8dntjccP3Hc/+4YMoXL2ezgzMqjftJFas4rPrzxy+0MT17Kr6rXt2gX+nypupF+oNHFxxLzyCslLFhM3+98ojcbWDumS0z2ie7OE1mE3d7iZj8Z8hMPrwOl18lTfp85zdMKlxKg58vNra7C16Nxun5syRxnJluRmz8UaY1kwbgGjEkY1Hvto9Ec82vvRFo3hYuardaEwaVBZdVgntG9MaAF4y1u/X5XfEXgvrO8Via/WjXFwG6Ke7IOxfzTaJDOSWoEjvfScXPtwaUNVRMvsFL/ciaSWIAiCIAiXlfK330EZHIxh8GB8lZUAmEYMb+WoBEG4UBTUFjSWm9latrWVozkzi/Yt4ueCn9lj24PL5+LhXx7m8V8f57vc7wDItmVz5w938sL6F+hg7cBX135FgjmhlaMWhNNj0VooaxNYre/aE0hAe202nFsDP7dujYIvpvXj+akx3PWnGvam6BvP1ccltmgsutT2oFKhPVyKULhgaVNSMA4Z0tphXJZ6RPRgwbgFfDH2C5KDmycMBOFU6VVH/j2vaqg66XiXz8UTvz5BXk3eScfWugMJmN+XHjwsJSQFhXTkdrpWqb3kd/WfKtkn47d7UJoDO570PSKIuK8bMc9fAUoJr83VyhGCv96LpFZgvak90U/1JfjqJFQWLWV1DQyY9Ru72hqp31qKfX0xstd/8glPg7fCiaRToTCI75eWIJJagiAIgiBcNhzbtlG/ejXWv9zVuKpaFRWFKjy8lSMTBOFCUVBbQK+IXsSZ4thaenEmtbaVbgPgt6LfeGjlQ6w+uBqdUsf64vXM3DyT8UvGk1uTywsDXuDDUR82ltERhIuNLyWQjG3YtQuAuh9/BGB9B4lPhsLPletQK9Tc3ul2brjyPgC8Cghu07I31EPvuYf4Dz9EodO16LyCcKmx6qyiNKBw1gxqQ+PjU0lqZZRnsCx/Gc+uO3mftVrXiZNawvH57W6QQWnRNjmu0KpQhejwVTec8dz2tQdpyK3GvqEY2eM78xgdHhR6NRlFNTz8+TYyD9YAMG99AYdqG/he5UUTZ6Z6cS6HXk/Hsb0M2d8yvcC85Q7U4UFIktQi813uRE8tQRAEQRAuGxXvvIsyJATrH/9I9YKFAKhjY1s5KkEQWossy6wsXMnqg6vRKrV0De/KgboDDIkbglFjZM3BNa0d4kk5PA62lm3FqDbSNbwrZY4yiuuLAXh3+7tISLww4AXWl6znh7wfkJG5qf1NTOkxhWBd6/Y1EISzFRKbzKHwPUhvvoUyNIyaJd9SFWXgy0mhfHfjUlSKI7c8fi1chUMLNXpINRy7RNqZUoWFoQoLa9E5BUEQhGM7Oqllc528/ODhxFeduw5Zlnlj6xsAPNqrednAGncgyWHWtHxPpUudY2c5AKqQ5gs8lMFafP/bqXV4B5SkOrW9Nt4KJ9Xf7m9yzNj/zHpj+h1eanUK/vLfzZTVuVi8o5iJveJYnhUoOajQKAn/Uxcasm3U/pBP1ed7MRbZCR579othPOXOVu8pdikRSS1BEARBEC4Ljq1bqV+zhojHp6IwGFCYTACorCGtHJkgCK3l+7zveWr1U1i0Ftw+N5/u+RSAJHMSZo2ZJblLqPfUN7l5ciEpsZdw78/3kl+bD0B4UDjRhmgArkm+hj2Ve3iwx4OMTBiJUqFkWd4ybk+7ncd6PyZWiQqXhHhzPM/dDB+vS6V46lQAVo8w0iuqd5OEFkCYPpx9oVCrl+ivFb/7BUEQLlZNdmo5T75Tq9geWOzj8DiYnzWfOZlzCNGG8EjPR5q9HxI7tc6Mt9JJzbI8dGmhaI+RuFEGa2nYU0XDvmqqPt+DJt5M2J/TTmnu+t/1uGrIqT7lpJa3wokyVNf49+x3ePjB56KszsX8u/vx8+5S5q7Px2rQYjVoOFDlQJIkglKt6FJCqP5mH/a1B9H3jEATc+a9GP0NXvy1blTh+pMPFk6JSGoJgiAIgnDJ89XVUfzU06giIwm59VYAgrp2ASB44s2tGZogCK1oW9k2TGoTqyauAiDHlkNuTS4j40eyqihwrKiuiFRrKnXuOoxq4wWVDJq5ZSZljjJmDZ2Fy+dieeFydpbv5Ik+T3Bb2m1Nxl6bfC1tg9uSZk27oF6DIJyNeFM8VSbw/7/nsL6/CNuSxfyQWss9oc1vlIUFhfHADUqUag2TVKJJuyAIwsVKqzxS3u5UdmodtB8EoNRRyswtMzFrzNhcNiobKgkLarrLVuzUOn2eQ/VUfbEXkAi5vi2Sovn7TFWIDr/dQ8WHGaCQaNhTic/uRmkM9N+SZZna5YUojWqMVwQSVrJfpu63IupWHUCXFoppUAz1m0tx7qrE3+BFoTtxWqMht5qK9zMwX5WAeUQ8ENip9VO9k7RoMwPbhTGwXRh3DEhEr1Uy84e9/JZT3ni+pJCwjEmkfvMhnJkVjUktWZap+mIv+i5hBHU6tV3atSsKAdC2FcnSliKSWoIgCIIgXPJqv1+Gp7CQ+Ln/RaEPrI7Stm1Lh927kBSixaggXG5qXDWsLFxJRkUGbYPbNu7o6BjakY6hHQGIM8YBgRshlQ2V/G3533hr+Ftc2ebKVov7aPtr9rO8YDl3d7mbEQkjALg6+erjjpckiU6hnc5XeIJwXsSZAj+nRY4Shjz1JFl/7EvlL1NIO0ZSyxpkpcqsIEJvFYldQRCEi5hJY2p8fCo9tQ6XZfbJPtqHtGdyj8lMXjmZHFtOs6SW2Kl1ehqybVTM3QVeGX2PCJRm7THHqaMCn8H1PSIw9Ium/N87qPggk9DbOqIKDcK++iB1KwpBIaFNtqA0aaj6MpuGPVUEdQ0jZHwKCq0KFBKOHWWUv59B2B2dUJo0za4le/2Uvb0NzyEHALU/F+DMqECbEkxejYNdHhdPDT3STzYxLLDzL86qp7TWRYPHh06tBEChV6OONOA+UNc43lfjwrm9HJ/N1SSp5at1YVu0D0O/aII6WBvH2pbk0rCrEkPfKLTxIlnaUkRSSxAEQRCES54zYyfK4GD0ffo0OS4SWoJwebG77XyS9Qmf7PqEOk/gw+n4lPHHHBtrDPTb21G+g8X7FuOTfWwt3XrBJLVWF61GRubmVLHbVLh8xZsDK68L6wIroLOq9iAhkRqS2mysWqEmRBdCiE6UHhQEQbiYtTG14etrv+bb3G+Zv2c+siyfcLFCsb2YbuHdiDXG8lDPh9CpAj2fcmw5XBFzRZOxte5AUsuoPvNSc5cy2S9TvXgfhj5R+J1eKubuRh2uJ+TGFFSRxy+tp0sLJWpqb1RhQciyTFCXMJwZFdT9VoSugzVQurCjFXdBLRUf7wI/+Oxugq9ri7p3JCgDn9u1iRZC/9yJqvlZlM3eQfhdnVGFBiH7ZXzVrsAusL1VjQktdbQBffdwGvbasK8rZonkQSVJ3NizeV/teGsg/iKbk3YRR/7+NfEmHDsrkP0ykkJqTHC5C2vx1bpQmrX4XT7K38/AW+5E9sno2odQv7GEmh/ykX0y5jGJmAaLXt4tSSS1BEEQBEG45DVkZKLr3FmszBaEy9i64nU88dsT1LhqGBY3jMyKTMqd5SRbjt342aK1YFQbmZM5B41SQ3hQOHtte89z1Me3q2IXUYYoIg2RrR2KILSaEG0IFq2FlYUr+WOHP7K7cjdJliT06mPfWIvUR2INsp7nKAVBEISWlmpNZUPJBrx+L3aPvcnurd87aD/I+JTxPNn3ycZjobpQ9lXvaza2xlWDSWNCqVCek7gvdj5bA/UbD1G/8RCoFKjDggi7uwtKgxqABo8PrUrR7HO3JEmowoIaH4f+qSOVn2YF5kovQx1jxHprB7ylDqo+34PCrCF0UkdUsUZuem89Rq2Kh0emcNuHm/jojj50u6cLFXN2YftmH8Fjk6mYsyuQ1PofpVUHEtQNjCaiVxSmIXGU2Rx8/9YaRnWMJMKka/baOkYHdlEt3FrEE2M6NB7XxJmo33SIg39fg3FADH6nFyRABueuSoxXxFC9JBdvhROFQY233EH9+mKqv92PNiWYkOvboQoVZY9bmkhqCYIgCIJwSfM7nbj27cM4fFhrhyIIQiv6MOND9Co97418j05hnXhpw0t8sfcLogxRxxwvSRKxxlj22vbyeO/H2VG+g40lG1ssHo/fg8MTWEV6JiVuMisz6RzaucXiEYSLkSRJPNLzEZ5b/xyzd85md+Vu+kb3Pe74Zwc8i07Z/EaWIAiCcPE5vPPW1mA7blLL6XXi9DoJDQptcjzaEE2Zo6zZ+Fp3reindQLeqobGx+qwIMLuOZLQenN5DrNWZJMaaeL9P/cmznr8nVsA+u4ROHdWoNAqCftzGgqNEk2ciajHj1RX+XHXIdILAn3Tfs0O9Lt6/ee9fHZPfww9I7CvL6ZyXhayx0/w9e2QlBKy14822cKGWge3fbiJvulWQg0adhXX4vT4eGRk+2PGkxplYnzPNvznt/1c2y2mMcml62hFlxaKpAD7hhLwy2jiTPhdXpwZFSiCVDjSSzENj0OhVVGzLI+anwrQJJgJu+vIwlq/X2ZpRglju0aLxbYtQCS1BEEQBEG4pLly94PPh65Dx9YORRCEVlLrrmVr6VZu73Q7ncICfaUe7fUoscZYhsUfP+H9h6Q/0D2iOxNTJ9Lga+Db/d9ia7Cddfmyb/Z9wzNrnyHRnEhVQxWvDnm1WfmbE6luqOZA3QFuTLnxrOIQhEvBjSk3srVsK7N3zAY4Zj+tw0RfOUEQhEtHiDbwfqyqoaqxHO3v1bhqAAjWBjc9VxdChbPimOMv935afrcPZFBom+9W81YGklqmYXEYB8Wi0Kv4ZU8ZhVUO3liezYgOEWzKr+Kujzez4G8DMOvUTc6XZZlnl+xClmFjXiVTr2rDyMGJKDTNryXLMm+tyCExVE9ajJlVe8vplRDC6pwKHvliO9M7xsJa8JY7CZ3UkaDOYXh9frYfqObt73exam8gCZZVUkuESUtCqJ6n/9CBlMjj7+qbdk1HVu0t48kFO1n41wH4ZZj+Qxb3jkmmXYQJb7WL+k0laOLNuAtrqVt5AFdeDZoEM+YRCbjyA99vssuHcWBMk+TVv5Zl8f7qPAxaJcM7iEoLZ0sktQRBEAThIlG3fDmqqGiCOosbMqfDXxt4Y6myih4agnA52lu1l2xbNl7Zy9C4oY3H9Wo9d3a+84Tn/qXLXxoftwtuB0BudS69o3qfVUyLchYBkF+bT3hQOPcvv5/Hej3GbWm3ndLKzbe3v42ExMCYgWcVhyBcCiRJYnr/6WRVZZFjyzlhUksQBEG4dBwuJ1vVUHXcMdWuauDYSa2c6pwmxyqdlWwo2UDPyJ4tHOnFw2d3Uz57J75aF5bRibiL67GMTkBp1gLgrXSCSsJ8VQI55Xae/2wXa/dVNp7/xi3dySyq4c8fbeKB+Vu5e3AyHq+fYR0iUCokvt1Zwtz1BY3jFxZXM+oYCS2AlXvK2FVcy/9N6MrE3nGB+Pwy7/yyj1nLs9lxoJrpSMzFRUjmAao27WdrgQ27y4taGXg/fceARJ4bd+r3T6wGDc+N68Tkz7bx4Zo8usUF8+WWInYcqOHHR65EFazFMiqReRsK6BlvJMSqQ1IrsN6SiqSU0MabCOociibJwk6jgl+WZbE6u4Iwk5bfssu5/YoEhqVGnPbfi9CcSGoJgiAIwnGcrOHs+VS/aRNFD04GIHbWLMxjRrdyRBcPX22gkavCdPwVWYIgXJr2Vu1lwrcTgECZmS5hXc54rlhjoLlzSX3JWcdV7gysHL21w6081PMhpq2ZxswtM2kX0o4BMQNOeO664nV8sfcLbku7jY6hYgeqIAAEqYJ4c9ibfJX9FV3Du7Z2OIIgCMJ5YNUGklq2BttxxxxOav1+95VVZ8XWYGvymf+Ztc/g8XsI1YU2m+dy4Hf7qPzvbrzVLtRhOqq/3Q+AOiII05BAUslb2YA3RMdL32fx8bp8DBolT47pwHu/5XJTrzaYdWoGtAvjnzd24Ymvd7I6J7AbbvLwdtw5MInnluyiWxsL4SYty7PKKK5xHjOWw7u02oQEcUOP2MbjSoXElBEp9E2y8uCn23hQ6cHp88P2YjpGm7m+Rwx9k0IZ3C6M1fsqGJYafkqvfV96GSarjsgkM2O7RrNkRzGv/5zNjT0D195Xbsfvl1EoJFbtLWP6N5l0jjXz7eODGr9/PD4/Y99eyx0DE/H5vUz/zwbUSom24UZ+yy4nJcLItGvSLph7TBc7kdQSBEEQhGPw2evJnzCBkNsmYf3Tn1o1Fs/Bg5RMfwalxYLCYqH8//0/TKOuQlIoWjWui4Xf/r+kllEktQThcrOicEXj4wntJ5xV0+9oYzQQaDZ+Or7c+yUbSjbw+tDXgSOlAx/u+XDjTrBn+j/DisIV5NXknTCpVeuuZcbaGSRZkpjSY8oZvhJBuDTFmeJ4tNejrR2GIAiCcJ4cLgd9pju1XD4XTq8TvVqPLMtsK9tGqC6UKT1b7z2W7JNpyK5CYVCjCtGhMKrPSxJE9stUfbYHd1EdoZPSUBjVlP97B9C0j1ZOWR0v2GvZs7aUW/vGM3VUKlaDhrsGJaJRHrk/MbF3HG6vH4/Pz9p9lfx3XT47i2qoa/DwfxP6kxpl4l/LsvhoTR4urw+NUsHWwmosQWoyD9aw/UA1O4pq+NeNXVArm9/36J8cyuTh7Xh2yS4sQWq2TB/ZbNy4bjGn9Nob6j38+H4mANc/0oPY1BBeur4zI1//lc82HQACO8SmfL6N0toGdhyoQatSkHmwlq/Sixp3ka3IKmNvaR1PL8wgOdxAtzYW5t/TH4NGybwNBXQ0BaFSiIRWSxFJLUEQBEE4hsr338edn48zPR1aIanlr6+nZulStO1SOPjQQ/hdLuLem42nuJjix6Zi//VXTMOO3wdGOMJXZwdAaTK2ciSC0Jwsy2w+tJnKhkoSzYli500LW1m4kmhDND0jezKx/cSzmkur1BIeFM4729/hx/wfeXnwy6RaU0963uLcxews39nYoyGzMvCh+ehdYyG6EFQKFaWO0mPOIcsy09dOZ0nuEgA+vfpTdCrdWb0eQRAEQRCEi5lOpUOv0p8wqVXTcJyeWkf149Kr9RyoO4DdY2dq76mNu/Nbg2NbKbavj5RFVFq0mIbHYegbdc6SW756D9WLcmjIqiL4urbo0qx8n3GI5PFtsa47hKe4HgB7UR1/q6hEViv4z229uSrtSF8orar5wrFJ/RMA6JUQwri3S/n1AGodAAAgAElEQVQ1u5yHR6aQGhVYbNqtTTAen8yby3NYs6+CnUU1KBUSPr8MwPXdYxjfs81x476+eyz/WpbFqLTIYya+jvlafX42f5tH2qAYzGFBAJTsq258Pi+jgtjUECLNOp65Jo0nFuzkmq7RmLQqFm47SMdoM3cMTGRi7zZMW5TJtEUZJFj12F1eZi3Pbpxnf3k9r97UDaM2kHq5rn0kn0xbT1m3Uq7+q9hR3hJEUksQBEEQfsddVETVnDmBxweKzvv1ZVmmZMaz1C5dCoAqMpKEeZ+ga98euXNnSkNDqV6wQCS1TpG/7vBOLZHUEi48s3fO5t3t7wIQqY9k+U3LWzmiS8dB+0H22vYytfdUbu90e4vMGWOModxZzr7qfdy27DZeHvwyw+OHH3e80+tkd8VuAHZV7GJA7AAyKjKQkJr0/VFICiKCIihzlDWbQ5ZlZm2dxZLcJaSFpnFL6i10CT/zMoqCIAiCIAiXihBdCDbXycsP/j6pZdUdKV3YxtSGXZW7AOgU1rr9qx07ylFadQSPa4uv0okjo4LqRfsAMPaLbvHr+Ru8lL6Rjr/eg+WaJFS9I7l/Xjo/7irFEqRmgCGIO8tltD/ms3TTAWzIfDShG8OPSmidTNc2wSydMojVORXcNTCp8fjglDA6RJl4d1UuyWEGZoxNY/H2g1zRNoy/Dm2LJUh9wnktejWLHxhElPnUF3rlppeR/kMBJbk16C0awuNMlBfWoVQpCInWU15Q1zj2pt5tOFTbwJXtw+keF8y/buzSJLH4n9t6c+3ba7j5PxsACDVomNQ/nnkbCglSK5vsFKs8GEgM5u2o4OBeG7Gpot/32RJJLUEQBEH4nbKZr4JSiXHIEJw7dpz367tzc6lduhTTVSOR/TJR0/6OOibwhkhSqwm+4Xoq53yMKy8PbVLSSWYTfPY6FHo9kvLMy44JwrlQ7ijng50fMDJ+JHHmOOZkzqG6oZpgXfDJTxZO6pfCXwAYFtdyCwCMmkByfGL7ieyu3M3DvzzMlJ5TuLXDrXy25zNqXDU81vsxADw+DzM3z8QrewHIrMxkQOwAMisySbYkN851WIT+2EmtpXlL+SjzIya2n8j0/tNFHX5BEARBEIT/Odwb63iqXdXoVXrUyqYJksOlCw8nxDIrMtEqtbQNbnvC63kO1aOK0CO1UBk5v9MbSGQFa1Ea1bj2VWMaGkdQh0DSzXBFDGXvbKd+Q8lZJ7Uq7S6C9RqUR8Xu2FGO3+4h7O7OyPFm7pm7hdU5FSSFGcirqGeZ04MdFb1X5fKl0kOEXs2QLlGnfe1OMRY6xTTta2bSqVny4CD2V9hpH2FCoZC4a9Dp3d84vOvrVG1fHignWJwTSHbu2xJ47x2bGkxIlIG9Gw8h+2UkhYQkBfp3Hfb79+AWvZr3buvFR2vyuCotkmEdIlBIEhEmHTf2jEWjOrJ7zFYSSGp1GRJLeIJoi9ASRFJLEARBEI7i2LyZuh9/JGzygyi0Wuy//krd8uUYR4w4ZzcS3QcOUP3FFwTffDOauDgc6VsBiJg6FU1CQrPx1ttvx/bFlxx64QXiP/rouHHJXi8oFJd97y1/nR2FSbxxFC48O8t34va7uavzXdS6a5mTOYec6hz6RPVp7dAuCSsPrKRdcDvizfEtNmelsxKA0YmjebzP48xYO4M3t77Jm1vfbBxzX9f7MGqM/FjwI19lfwUEElZLcpcQZYgisyKTwbGDm80doY9gr20vANPWTGNjyUbaBrclx5ZDR2tHpvWfJhJagiAIgiAIR7HqrMct3wxQ46pptksLmvfj2lW5i1RrKmrF8XcHuYvtlL21jZAJ7dH3jMD2VTa+eg/Wm1NRGk68q+horv3V1K0tBqBhrw28fiRtYAGm0qLF0P9I8kpSSBh6RlD97X7cxXY0MWdWfaSyuI5eb/3G3wYn88Q1R8qdO9JL2RWs4qUF29CoFORVBMrmje0azUOfb2PvoTpWVzpYLXtJCzfzxJjUJkmxs6VRKegQZW6x+U6ktsJJeWEdse2DOZhdzYDx7UjtF8Wh/TWExhoozqkm89eDZG86RGr/U0sgdow2M/Ombk2OHZ0IO8x2qB69WcOVt568dLlwas74LpckSXGSJP0iSVKWJEm7JEl66BhjhkqSVCNJ0vb//Tfj7MIVBEEQhHNH9vk49K9/oYqOJvSuu1DHBW6EFj04mbqffj5n1z303PNUfvAhuVdfw6GX/oF95UqUVivq+GPfiFWFhxPx6CM41m+g9rvvjjmmfuMmsgcOIrt3H5zbt5+z2C8GfnsdCtFPS7gA7a/ZD0BycDIpIYEPP9m27BOdctHLq8njhfUv4PF7Wnxuv+xvfFzdUE16afoJSwOeiaf6PsXAmIF0j+iOTqXjlStf4a1hbzG5x2QmdZwE0Fi+ZsuhLQAsn7CcJ/s8idvnZtqaaVQ1VNE5rHOzuQ/v1Np8aDNLcpcQa4zF1mDD6/fyeJ/HUUiX9wIFQRAEQRCE3wvRhZywp1a1qxqL1tLs+NHlB31+H7srd9M5tPn7s6M5d1YA0JBdRc13+3FsK8O1r5rqJbmnFKssy3htDZR/kIm7oBbPgToMvSKw3pKK7PKBDOH3dkVl0TY5L6h7BJJOSc33eciyfErXanJdv8wP/wksnF20sbDxuKfMwbuF5TxUa6O2wUuRzclbt/ZgQq826NRK3rutN4sfGMRTf+jA91MG8/1DgxmaGnHa179QHMgKfJ9ceWsqNz3dm+4j49CbNSR3D8cSriehcxjm8CCWf5xF+g/5J5yrtsLJgT1V+Dz+E447zHbIQUi0/mxfgnCUs9mp5QUek2V5qyRJJiBdkqSfZVne/btxq2VZHnsW1xEEQRCE86L2+2W4dmcR89qrKIKCULc50iC2ITMD8+hRLX7N+nXrqF+7ltB77sFXU4Pts8/A58MwaNAJV+QHT5xI9aJvKH35FVRhYXiKSzCNHo3SaKD2++8pfvIpFGYzvpoanDt3EtS9e4vF7LPXU/L0UxgGDiTklluOOaZhzx4OPfschkGD0HXuhDalPerYmFbZZeCrs6M0ip1awoVnf81+IvWRGNQG9Co9Fq2FHFvOyU+8iE1eOZmC2gJuaHdDi/aF2lG+g8krJvNwr4cZGDOQXw78gl/2MzyuZZNavSJ70euqXo1fS5LEsPhhDIsfRo2rhnlZ88ioyKBfdD/SS9MZ0mYIkYZIRhlGcVXCVeys2MnmQ5sZm9z841GkPhKn18kHGR9g1Vl576r30KlOvUeAIAiCIAjC5SZEF4KtwYYsy8f8rHm8nVp6lZ6IoAjWHFzDlW2uxOl1nrCflizLODPKAXBmVoJfxjgoFtnrp35DCRUuH9okC0GdQlGFBTU739/gpeLjXbjzawGIeLA7quAj7/N8dW5U4XpU1ubv/ZQGNZbRiVQvzsW2IIeQG9ohKZsudvK7fTg2H8KxoxxdWijmoXGNz7mL6tjc4AJA6/bjq3OjMKrJ+7WQj3FzZWIoL0/sRoRJi+p381r0au4fcuKSjBeLgsxKjCFaQqL0x/xe0Zs1/Om5fiz/OIsN3+xHpVbSbURcs3GVB+189fIWfB4/0e0sjH2gG5ogFX6/TEFmJeFxJowhgcSkx+1j+8+FVByw03Fgy/dEu5ydcVJLluUSoOR/j+skScoCYoHfJ7UEQRAE4aJg+/RTNImJmK++GgBtu3bo+/fHsWEDjq3bTniu7PMFSv2dRtLGW1lJ6auvooqJJuzBB1BotYT88VYOPf8CwTfddMJzJaWS6OeeJe/G8RTeeRcAjq3paFNSKHv5FYJ69SLunbfJuXIIntLjl2M4XX6nk6L778exZQv1mzZTv2495quvxldTg2PLFpzbt6NJTsK5JR1/fX2TnmRhf/sr4VOmtFgspxxzXR1Kq/W8X1cQTmZ/zX6SLclAIDmSEpxCTvWlldR6edPLbCjewLh247gm6RoKaguAwI60lkpqlTnKeOSXR7C5bDy77tnG45H6SNJC01rkGqfCorWQYE5g7q65/JT/E/m1+dyQckPj85Ik0S28G93Cux3z/EhDoOH2uuJ1/CHxD5dtQuvwjRa8fiS16IUoCIIgCBeLbYU2HG4fA9uFnbdrWrVWPH4Pdo8dk6b5QsYadw2xxthmxyVJ4vZOtzNzy0w+zfoU4IQ7tTyHHHgrG9DEm3AX1hHUKRTL1Um482up31BCw54qGvZUUbMsD1WoDvNVCQR1C8ddWIcqLIjKubtxH6hDUisI6hLWJKEFYBrc5oSv09A/Gl+dm7qVB/DVuAj9U0c8ZQ7U4XrqNx+i7rci/PZAJQR3YR3qCD2SWkG13c2GLQdZRaDHaxF+ChYGyiYuKQyU1X7muk7EBDdPxF1KcraUkrejgp6j4495z6a6uhqDwYBarWbkHR3xef2s+SoHv0+musxB12FtsB1ykLeznIKMSjQ6JX3Gt2P1lzksfnM7OoOKiiI7jho3QWYN1z3UnZpyJ2u+zKGuqoH4NCudr2z+fSicuRbpqSVJUiLQA9h4jKevkCRpB1AMTJVleddx5rgXuBcg/jjllgRBEAThXKnftAnntm1EPPFE45schVZLwsdzKH35FWyffoq/vh6FwdDsXJ+9noJJk5BUKmJnzULT5uRvVnx1dewfdx2+ykpiZ72BQhtYyaPr0IHEzz49pZh1aWnEvvE6foeD+o0bqVmwEADTqFHEzPw/FFotqogIvKVlp/rHcEJ+t5uiByfjSE/HOHQo9lWrqPvpJ+p++gkAZVgYQd274dy8BX99PZFPP4Xlhhtw7dtHyfRncGw7cWLwjONyOqn88CMM/fqi79O8F5HPXocmQby3EC4sLp+LvJo8bky5sfFYSkgKi/ctPu5K04uB2+fm9fTX6RfVj0hDJPOz5hNliOKN9Dd4I/2NxnGHe0edLZfPxcO/PIzdY+f9Ue+zomAFSZYkJEmiU2in8/7n+JfOf+HHgh9RSSrizfFcnXT1KZ97dC+1HpE9zkV455wrvwb7hhL03SMaG5yfKtkvU/N9HvY1B1EGa5HdPsLv74Y6QpRqEQRBEIQL3acbC3lmcSYapYINT4/AolfT4PGxtcDGhv2VbMyrotzuYvLwdtzQ48QJnNNhDTpSRvBYSa3jlR8EGN9+PK+lv8bCnIXoVXoSzM37WR/mzCgHCay3dqBhTxWG3pFICglNohl9r0iCOlpRRxto2GvDvqGY6qV5SGollZ/8b++HInBuUAcrHNWTqsjmYMmOYhJDDVzd5dg7eZxuHzq1AsuoRFRWHbaF+yidtRVftQuFXoXf4UWbEox5eDyaOBOlb21l6ycZTJOd5BMojxehVHL/oERm/5rL8KyCxrnbhhtIiby0q5pUFNWxcm4WUckW+l6b3Ox5t9vNrFmzaNOmDXfffTcKpYJRf+nEstkZrFu4D4CsdSXIfhmdQU1i1zC6DY8jPN6EUqVg/Te5+H1a2nQIITrZwpbv8/nqX1vwef1YYwzc8FgPYlJCzvfLvuSddVJLkiQjsAB4WJbl2t89vRVIkGXZLknS1cA3QPNuaYAsy/8B/gPQu3fv0y8QKgiCIAhnqG75ckqmTUeTkEDwTROaPW8aNYqquXMpevgR4t59B0l9pAmsLMuUTJ+OKzsbhV7PgXvuIfHLL1Camr4xlP1+HBs3ou/dG5RKKj/8EF9lJfFz/4uhb98zjt38hz8E/j92LPqevZDUaizXX4ekDKxuV0VG4m2hnVqVs9+jfu1aov/xEoaBA9k3dBXq2FjCHnyQoC6d0bRtiyRJ+N1uXHv3ouvUCUmhQN+zJ7pOnXCmp7dIHL66Olw5+yifNYuQ2yZRPutN3Lm51K/uRuIXnzcb76+zoxDlB4ULSH5NPlN/nYrT6+SK6Csaj6eEpODwOiiuLz7mitKLwdfZXzM/az7zs+YTqY8kRBvCwnELKXeWs6JgBW1Mbfhsz2fsrTqzpFZGeQZzd89lbfFahsUN4+eCn3F6ncwaOov+0f3pH92/hV/R6bkh5YYmu7NOR1jQkVXNPSIuzqRW7YpCXDnVOHeUY70lFX23U+u74Hf5qPp8Dw1ZVWiTLXjKHADYvs4m4m8tVz5XEARBEISWVVjpYM66POaszadnfDBbC6sZ9toqrusew2ebCmnw+FFI0DnWgr3By9MLM+gZH0JCaPPFomciRBtIFszLmsfI+JH0jT7y2drn91Hrqj1uUsugNtA2uC05thy6hXZDqTj+DnHnrkq0SRZUITqMV8Q0HpcUEtab2jd+bRwQBEqJ6kX7qF4cSIigCozRdwlvHLd2XwVvrchhY16gz5NRq2JQShhmnZoah4eVe0tZkVVGkFrJ9xkljOsewwPD2hHbKxJlsJbKeVkojGr8dg/aXhGE35SKx+fniYUZ/FRdQY3sw6BU8FjfRDqHm+iTFk61LPPx2jyGRprp2zkSSaOkb9LFU9GkttJJRaGdxG5hKBSntnCtod7DstkZaINUjLmvM0qVgurqalatWsXw4cMxm83k5AQqZRQVFbF//36Sk5NRqhSMubcza7/eR/mBOkrzakkbHMOQW1ObXDttUAxpg2KaXDMyycLqL7NJ6R1J2uAYlErRF/dcOKukliRJagIJrfmyLC/8/fNHJ7lkWf5ekqR3JUkKk2W54myuKwiCIAgtxVdXx8FHHkXTti1t3pzVLBkFoO/Zg6jnn+PQMzMo/vs0op97lpJnniH03nup37CBuh9+IGLqY+i6dqXwzrsoffllol98EUlx5M2L7fPPKX3hRXRpaXgrKvCWlWEcPvysElpHU2i1hNxyc7Pj6sgInLsCm6R91dUUT5+OoW8/rH++7bTm99ntVM2bh+mqqwgePx6A+I8+RJeWhjK4aY1yhUZDUJemZcU08fHUfvcdfrcbhUZzWtc+mjs/n/033Ij8/9k7z/g4qrNvXzPbu3a1qy5ZVrFlWe7d4IJteif0mtBJSCjJEyC/NzzAkwIJgYRA6GCqIXSDg2k2mGLcbVmyZKsXq6+02t7n/bD2GkWyLeNGmeuL5Tlnds7szs6eOf/7/t+BAAD+tWtROOyYTjoJz/LlNJx7HoY5x6LKzMQ4fz6qtDTiHg+iyfitjykjcyhZ3baam1fejFqh5pGFjzA3Z26yrTglEftV01fzvRS1QrEQT299mvGO8QCUd5dzx/Q7MKlNmNQmCsYnIiM3dW3i7dq36Q/173WR4ZusbF7JqzteJRAJsLFrI0aVEUEQWFq3lDR9GvfMvoeFIxYe1nM7Uiw+aTGvVL+SvBa+T8Q8YUK1Loxzsgk3uXEtrUc7JhVRvX8LQedLVYRq+kg5szC5UOT+uAn3J83EA1FE3SExGJGRkZGRkZE5hGzv8HDaPz8nEpO4YtYIfn9aKb99o5wva3t49stGZoy0cf28QqbkWzFrVXT0B5nzlxW8vKaZO04Zc0jGYNMmRJkl1UtYUr2ErVdsTbZ5wh4kpCFrau1mnH0cNX01+7QejHnCRDv9GE7OH9aYNPnmxH7uMLaLS9CNtSMoEkKILxTl1//ewvLKDrJTdPz6+FGMyjBx3QsbeHlNM6PTE3+HY3HsRg29vhA6lYIla1tYsrYFu1HD7MJUZh6fiUGronaHk8c31yGW16NTKejzRzBqEvOmn0zP5Zdn7qkTZgQq7zkJxTAFoW9DOBhFpVEccreE+k3dvP944rM9+fpxFEx07GePBFs/bcXdE+Qnv52CwaJBkiTeeustmpqaCAaDFBcXs2HDBjQaDbFYjKqqKgoKEs8sSrWCeRePJhqJUbOuk6Kp6cMS0xx5Js75zZT99pM5OL7104GQuDqfBqokSXpgL30ygE5JkiRBEKYDIuD8tseUkZGRkZE51Pi++AIpEiHj94lMrb1hPe88Yr19dD/4IKHt2wnt2EGovoFQTQ2m4xdhu+oqBEEg9Wc/xfnU03iWf4Dtpz/F9rOfIahVOJ98CoBQQwOGY2ZjPvEkTMcvOuznp0xLJ7ryUyIdHTRffTXh2jr8X60m2tOD7bJLUTr2PxmUwmHa77iDuMdD6vXXJbcbZs8e9jjU+SNAkoi0tKApPPBCs7sz3boeeBApEEDhsJN61VVEWlqx/+LnxP1+PMuXE6yoIFhRkdhJENCNH48UiaAwmQ/4mDIyh4PnKp/DorHw/MnPk2HIGNBWlFIEJESt+bnzj8LoDo7Xd7xOV6CLP8/5M9mmbN5veJ/zRg+uD3hO8TksqV7C4srF3DT5pv2+7jt17/Dlzi/JNeXy22m/5Zzic/i05VP+uemfLD5p8aD38fvMlPQpTEn/fj4EByp6QALDtAx0Y1LpfqIc//pODLMyiXsiKMxDBzSE27yEdvRhOTl/QOSzeqQFJAg1uVFnGgg1udGV2REO40KMjIyMjIyMzPB4Z/NOfv92BRqlgrd/MZOxWYlApQfOn4gkSezo9FLgMKD6RpZKhkXL7EI771d0cPvJJYdE+Ngtag2FK+QC2GcQVZm9jDdr3mSsfexe+4Qa+gHQFOxdHPsmyjQ9okGFwqzGl29Cv0vQ8oai/OzZtWxo6uN/ThzNVceORLurfuhxox3c+341AGMyzfzp7DIm5KTQ6PRh1avZ2NxHe3+QdY29rK5zsnRLW/J4c4rtlGSY6PNHmFWQyollGTz3VSMXTx9swX84Ba2Wbb28+/AWDBY1p904gdTsQxNY6ur08+HTldhzjfS0eOlqdO9X1Gre5qR8RStNFU6yilPIKEhcA263m6amJsxmM9XV1VRXV6NWq1mwYAG1tbU0NDQMei2lSsGY2VmDtsscXQ4m5O0Y4DJgqyAIm3dt+x2QByBJ0mPAucANgiBEgQBwoSRJsrWgjIyMjMx3gkhHB67XXkNhtaKbuH97o9RrryHW66T3uecBCFVXo87PJ/PPf05OyO2//CXKrCz8q7+m55FH6FuyBN2kSUTb28l9+ikMs2cf0RovyvR0pECAxvPOJ+73Y7vqSnqffgbnE08gKBU4fvWrve4b7euj4847CWwpJ9rVRfrv7kA3du+T/X2h3lUvM9zUfECiVjwUovfZxbhef51IaysKi4Wsv92P5dRTB3a02Rj55huocnMRVCoiLS24P/gQz0cfoSkdg+GY4QtwMjKHC0mSqHRWclzucUMKMUa1kSxDFjV9NUdhdAdHMBrk6a1PMyV9CtMypiEIAlePu3rIviW2Ek4ZeQovbnuRi0ouIk2/b4u67b3bOWHECfxt/t+S204tOJVTRp7yva099kMkuL0PRaoWVZoeySGhHmHGs6oVRAHX27XYLilBadWitOvwrGrFv6Ub27mjcH/SjKASMUwfWEdCnWsChUDfmzXEPWGQIPXyUnSlqUfpDGVkZGRkZGQAQtEYv3tzK75wjNtPLkkKWrsRBIHRGUPbv59clsHtb25lbUMvMwoO/jfdqt17raLdota+MrUW5C5gc9dmjsk+Zq99QnUuBLUCVZaRtzft5KFPavjpMflcMmPEkCKRIAjYryzjma07ufdPn/DA+ROYMsLKz1/aSHWHh39eNJlTxw+c9/zpnHGc/s8vyLTo+MeFEylwJASh3f8uHJMOwKUzRyBJEg09PiIxCW8oyoQcC8r/srj7xXFFez2fw0EsGueT57ahVIvEYhLv/nML5942BaNVO6jvbkvAoilpjJu/7/pqfneYD5+uRKESOe3GCbz7zy10N3sGHVtUCAiCgHOnl4pVO6n4bGeyvXhaevLvUCgEwMKFC9Hr9aSmppKSkoIoisRiMT766CM8Hg+mIRx8ZL5bfGtRS5KkL4B9PkVKkvQw8PC3PYaMjIyMjMzhILJzJ+3/exe+r76CeBz7L29M1qDaF4IgkHbbbaiyslCPHEnfq/8m7eabUBj3RCCJGg22iy/GdvHFBMrL6br/b3g/+QTjccdhPGbvE+XDhTItEcEkSRIjXngeTVERwW3b8K/+Gt/qr/cqaoXq62m5/gaiHR0Y58/HfPppmI8//luPQ7VL1Or+xz/o+N//xTh/Hmm//e2Qdo/fpPPee3EteQX9jBk4br4Z0/GLEDWaIftqS0uTf2uKi3EUF+O48RffeswyMoeadl87rpCL0tTSvfYpthazrXcbiysWc/7o89Gr9EdwhPtGkiSi8SgqhWpQ2xs1b9Ad6Oa+ufcNS2i6ceKNfNj4IY9veZzfz/r9Xvt5wh5ava2cU3zOoDZZ0Dq6eL9qw7exE5VDj8KmJVTnwjAtIdYKgoDpuFyciytxLa0DoPelahBB1CYKmgsqke4ny0EC69nFgywGRbUC7WgbkXYvpvm5eD5rIdzqkUUtGRkZGRmZo8yXtT34wjGe/dk0jhs9vPqZuzl1fCb/XFHL/7xezn9umpO0yvu2aJUDRRNJkpJzxP5QIsNqX6JWqi6VPx77x722R7r9+DZ0oh/nYHu3h5tf3YzdqObOdyp5Y+NO/nrueEalJ55pvaEoOpUChSjgS1Fz32eJmlr3f7AdTzCKKAo8dflUjisZ/J5lWnSs/d2iYdnbCYKQFLu+K7h7Avj6wyy4fAyOPCNv3r+R9x4u55zfTEb9jTle0BfhvYe30Nngpq3GxagZGWj+aw7Y1+HD4wyiM6l5/7GtBDxhTrymDINFQ9oIEw1bepKfs88V4uW7viYlXU8sKuHc6UUUBcbOzWbG6SOp29RNyaw9wYThcBgAnU5HcfFAu++RI0cC0NDQwPjx4w/XWyVziJDNyWVkZGRkflRI8Thtt99BcNs27Ndfh+Wss5JZRMNBEEVsV1wBgHHu3H321Y0fT95ziwlu3Yp6ly/zkcYwYwaWs87C/vMbkuc54tln6X7oIXoee5xgVRWakoT1g2/tWqRgkGh3N533/QVBpSLvucXoJ0066HEorVYcv76V7n88hH7qVFxvvY1/3XpyHv4nmqKBUWRxn4+OP/6JwIYNhJuasF1xBel33H7QY5CROdpsc24DYGzq3jMei63FfNb6GX/b8DcEQeCKsVccqeHtl0e3PMpjWxzuPZYAACAASURBVB7j64u/HiS2fdj4IWNsY5iWMW1Yr5VrzuXcUefy2o7XuHzs5YwwD7Z/7Qv2ccF7iVqBo22jD/4EZA4ZkiThWdVKzBUi7okQ29wFEujK9ghO2tFWVBkGIh0+AAS1AvUIEwgClhNGEOn00/dWDbZzR6GfOPSCmP3yPQJwsKqXcKv38J6YjIzMUSPS7UdhViMe5AK3jIzM4aHJ6SPHqqfLE+QfH9dg0io5ptC+3/0kSSJU48L7dTuCQkCdY+LBs8q48Ll13PlOBQ+cP9gxpdcXJhiJkZWiO+Bx+iI+jOqE4DOcTK19jj0u0fdGDYJKwXvpSh56ai0qhcCHt8xj1Y5u7nlvG79asomLpufhCUa4/8MdCALY9GqsBjWSBGdMyGLpljYm5qbw8MWTyLHuPWBtOILWdxW3MwiAxaHDnmPipGvLWPZwOe8/vpU5548iJV1HwBvh3Ye20NfpY/yCHMpXtPLULauYdXYhSrVIR70blVpk21ftsMvnTW9Rc/ZvJpM2IlFOID3fTNWX7XzwRAVTTsmnsbyHcDBGX4cfR56JOReMonhqGjpTwva6bO7AOsW7M7U0QwTKZmRkoNVqZVHre4I8W5CRkZGR+VHh+ehj/OvWkXHP3VjPP/+wH0/YVdfpaKG028m698+DtptPO43e51+g4exzUKanoykswPfV6mS7tqyM7L//HXVO9qB9vy32a64h9YorENRq/OvW0XrzLTScfwHq/BGYFizE/vMbiHb30HLD9YS278A4bx7WSy/FesHh/5xkZI4Ea9rXoBbVjLKN2muf4pQ9EYPBaPBIDGvYPLrlUQCW1i3lwpILk9tj8RhVvVWcVXTWAb3edROu4526d7jrq7sIxUKEY2GeP/n5pGD2acuntPvaAfaZ3SZz5Im0eom5QljPG4VhSjpSLE48GENh2JPFl8jWyqF3yXZsl4xBV2JFUO3JilbnmNBPcCAoxaEOMQhVtpFgde+ACOwfA7tFQVWGgagzQKDCiWFmhrzwL/O9IljbR7Q7MKBu3m4kSSLc6Kb7iXJEnRLjnGyMs7O+99e4f0sX4Z0+lKlatMVWlDYt8UCUQHVvIhO1xIqgGN79T0bmaFPb5WHRA6sozTTT3h8gFI3z13MnoN7Lb3iky0+gsgcEAf/GTqJdAUSTCiQIbO1hZHEKvzyuiH+sqGXeKAcnlqShVisQRRFJkrj88a8JRWL8WdSTNz2LtHm5wx5rb7B3kKhl0e69ptY3iYdjEI0j6hPzGd+adsKNbgznFHHnmxsBOLbIjs2g5qxJ2bT3B7lveTX/u7QSgOI0IyePy2RdQy+r650A/OXc8Zw1KYtjixx7fb9+CHh6AgCY7YnMubzSVOZfWsKK56tYcs8axi/IoWmrE19/iNN+MYGcEiu2TAM16ztZ/VYiq19nVhNwh7HnGpl84giaK53MOKNggIVhyaxMPL1Btq5spW5TNwA5JVbOvHl4gbi7M7XU6sG1XkVRJD8/n8bGxm/9PuyPWCyGYhguQTL75/s9S5CRkZGRkTkAJEnC+fjjqEeMIOUnPznawzmqaAoKKPzwA9zvv09gw0YC5eWknH8+lrPOBEFAN2ECgnjoJ93Crsmjfto0Rr75Bh1330Oko52ehx8m1uvEs2Ilcbeb3Ef/td9MOBmZ7xORWITljctZkLcAjWJoC01IZGrtps3Xttd+h5tnKp7h3bp3mZ4xnakZU9nUtSnZ9mT5k8zNmUuWMbE42eRuIhANHLDwZNfZuaz0Mp4ofyK5raKngumZ0wHY2rMVnVLH22e+jV23/0hgmSNHYJsTRNCNSRRnFxQiCsPg3wzdeAcOiwZ1nhlhqJoTB7C4o8414d/QSaC8B/2EfRcH/6Hg29BJ32s7EjXHZmTiXd0GMQnfxk4Mk9MwHcAin4zMbqL9IdzLG9EUpmCYmr7/HQ6SQHUvzhe2QUxClWFAYdMiahSI2sRyVN9rO/Bv7EJh1aBKN+D+oAnf6nbSb56cXFj+PiHFJII1ffS+uj2RabAr20CdZyLmjRDrTQSs6CY4SL2o5OgNVEbmAHh5TQsA29rdjM0y88+LJu3V/i7SE6Drn5uQInEgEZRivWA0+nF2BKWId007rrdqucTo4Iu8FP7fWxXcFIryq+xUbv3lTN75sJaKrkTNpHPxc+YnXv4+J2fIecRuFIKCmBQDEqJWnjnhUNIf6kchKDCpBlveR50BBK0yGZAjRWJ0PbIZKRIn49YpxLxh+t9vRFOcQkN6QlQZn2PhrjP2OC4cU7QnQ318joU/njWOcTkWOt1BZvzpE1QKAa1KwYKSw3+vPdq4e4KISgGDZc9zzpjZmRgsapY9Wk75ilZEpcDZt04moyAhMo6dk03JzEza61xY0vSYbFq6mz2YUrVoDSqKh/iNUihFZp5ZyKTj86j8vA2fK8SEhcOfD+0WtYbK1AIoKCigurqa6upqSkr2fo92Op1otVoMBsOwj11bW8uyZcu45JJLsNvlZ5uDRRa1ZGRkZGR+kPg3bEBbWoqo22NZEG5oJLhtG+m//3/DqqH1Q0dps2G75BK45JKjcnxVejq5/3oEgObrrqPv5SUo09IY8dKLaMeMOSpjkpE5XKxoWYEr5OL0wtP32W+kZSSnFpzKB40f0OppPUKjG8wnzZ/Q4evgzZo3ebn6ZQBUooq/H/d3bv/8dq7+8GqeO+k5HHoHlc5EdOq3yab62dif0epp5ZSRp3DjihvZ2rM1KWpV9FQwwTEhKZ7JfHcI1bpQ55r3u+AsCAKa/OFFR+8P/eQ0/Ju66H1tB9rilO/MYne4zYsUiaPZZYuzL6RonLg/isI8ODr4v4n2BHAtrUPUJ2qQeb/YiX5yGup8M643a+l/vxH9pDQU5r2L5DIyQ9H3Rg2hHX2EmtzDErXi4cRCsag+8LlzcEcfzhe2ocowEPOE6XuzhmhfEOIS6hwTqiwj/o1daIpTsJ5djNKmJVjbR89TFXg+34nlxPwDPubhJh6OEe0JEO0JIKgV6EpsxDxhBI2CcLMb17v1RDsTVoppN01OZGdV9BDYksgosF89jlCdC8/KFlxGFaYFeQOyXGVkjhSrdnTzyrpm1AoRq0FNqkHNmEwzdd1eThybwYjUxGJ9myvAaxtaOLksg4tn5DF9pA2NUoEkScQ9EUSDCkEhIMXiBGtc9P+nHhQiGbdMQVAIiGb1gAxrw/QM4t4I7o+auHOkiUukhIC1cqeLn65o5oGVtRgQ8O1ShJeHg7Svaydrxt7ngx+f9zHl3eXctPImnAFncrsr5MKisQzK8A419tP9VAWafDO280chmtT0L28k2ukHoPe1HUTavICE9exi3qlMBJo9eflU0s17sobGZlmw6FSUZJh49bpZye3pZi2PXjKZbOuB2yd+H/H0Bumo78dk0w4SH/PGprLop6V8+FQl4+fnJAWt3ShUIjkltuT/HXn7rrm9G41exeQTB9uX74/d9oNDZWoBTJo0ic2bN/PGG29w5ZVXYrVaeeWVV5gwYQKTdpVl6Ovr41//+hexWIxLL72Uom+UU4jH4wiCMOiaa2ho4KWXXsLh+HEEZh0JZFFLRkZGRuY7T7S7m/6l7xJubSHe7wZRRFAoMBwzG8sZZwzq716+nJ0334L51FPJ/tv9ye3BygoA9FOHV/NF5siR+b//i/Opp0i95hpUmZlHezgyMoeMip4KXqx6kWX1y8g353NM1jH77K8Uldw7514EBDZ0bjhCoxyIJEk09jdy8siTuW36bVQ5q0jXp6NX6bFoLDy26DGu+fAarv3oWq4su5K7V9+NTWujwHLgtQONaiP3zb0PgFxTLhU9FbR6WlnbsZaavhp+VvazQ316MsMkHo7hW91OzB3CckoBgiLxcB4PRgm3ejAdd2SzhES1gpQzC+l6aBP+zd0YZx9dsdO7pj1RV6wvmKgnNsGBtjAFzUgLilTtkBaJ/e834P2yDd0EB9afFCOqFYTbvLg/bkaVrscwLQNBo8C1tG7PAvj140HaVZMsOxEVr8m30PnABgKVziHt3P4bKSZBPD7A/lHm+0U8GEWKxFGY9i+I7gspEidUn7DjivUFifsjxNxhIl1+dOPsA67bcJsXz6pWgtW9EAfjMVkYZ2aisGiQ4hJxXwTvlztR55nRlaYOOlawto+e57ehStPjuKqMUEM/zheqEPVKDDMyCdX341vbgWhSk3ppKaImcX1qi6zoxtuTQq7Ksff6M0eaYE0fzherkEKx5La0X0yk+5kKiMYTn5FNi/X8UehKbIh6FQqDCtX8XMzz99wzNSMtxDxhvF+14VvfiWFGBrrS1EMWBCAjsz++rndy+TNrcZg06FQKen1hvKFosv2xz+r57YmjOXtyNr/+9xbicYnbTioh374nK6X3xSoClU6U6XrUWUaC23uTgRupl5agtGmHOjSCIGBemJewI3yrliclLfcQwI3Eax/W0EycB88q45a3E8/uIeClt7fxq0wjmryhA0jsOjtl9jIAbv70Zl4//XVG20bT6e/Eohn4vYp0+OhZvA3icUK1Ltr/tBbdeDuB8h5eylXRFAjj2tJEG3EieiX+h1fhCUbJtekGCFoAClHgqSumkmoYfG8+edyP45k26I3w2r3rCbjDpGYPnb1XNCUNlUZBbqltyPYjyb7sBwFUKhUXXXQRTz75JEuWLGHWrFk0NjbS2NiI0WhEq9Xy0UcfJW0EV6xYQWFhYeL5qbGRl19+mUWLFjFz5kwA2tvbWb16NVVVVdhsNq666qq9ZonJHBiyqCUjIyMj853D9dbb9Dz2KAqzBaXDgW/1aqRAAEVKCqLFDBLE/X7633mHYGUlabffnnwIj/b00HHX3Yh6Pe5lyzCddCLm448HILB1K4JWi6bwwBdeZQ4vqqwsMu6882gPQ0bmkNET6OH+9fezrH5Z0m7whgk3oBCHt6icY8rhvfr32NS1iUlpw/OIP1S4Qi7cYTf55nw0Cg0T0wYW8B7vGM/DCx/mho9v4Hdf/I5CSyEPLXgIpXhwjxZl9jLeb3ifj5s/BhILFAvyFhzUa8ocGPFwjHCzh2hPAP/GTsLNiehpKRpHU5BCPBAh3OQBCTSF367o+sGgzjKiyjLg+bSFeCBKzBVCisRQjzDj39SFOtdEyumFh+34kiQR3N6Hd1Urofp+1LkmdKWpSJE4ga09BDYnhCilXUf6TZMGiEiSJBHY2gNAoLybmDuE48px+Nd3EtzmJFjlxLu6HUEpEA9EMc3PQT3CPOQitypNjzJNT2Brz7BELfeHjQQqnaT/esqPqh7ZdxkpFkcKxQZkHMbcIQJVvUjBKPpJafT/p4Fwq5e4P0I8kFhsNs7KwnJ6wYDPUZIkiEuD6jNFOnzEvGFivSFCzW6i3QHCTW4ATPNz8HzaStcjm4k6E3Z4tgtGo5+UBoC/vDtpfakdbQNJwvNpC56VLajzTEiROJH2RL03hVWTFLUkSQIJwo39OJ/bhjJVi/3qcYh6FbqxdqznFKN06NCMTFzX8VAUYlJS0NpNymkFdNa66H5sC/op6Zjm5Q7IZpLi0qBsACmW8Po70DpVoXoXqgzDPrM/JUlK2iQq0/SYF+Uh6lX0PLWVrkc2AyCa1JgWZGE6NhtBte8xCAoB27mjMM3Jpv/DJryf78T7+U6sPxl1RCwhZX48SJLEsq3t2I0aNjT18V55olapyx8m16bjg5vnolcn5m/BSIwvanpQKAT+/tEObn9zK/ctr6bPH+EPZ5UNELQi3X4ClU504+xEOv0Ea/rQjLKiH+9AO8o6LHth4/RMpFAcltUzFSUvEOYpbYxxNjNnzchj5dZO0i0aNvf4eKuln8uW1pH+i4k4n9+GMlVHymkDn+mtWmvy73fq3mF2YDbrm9ZyyaiLkSIxel/Zjm68A9d79YhqEetl4+h5cisAgfIeumxqHm1J/E7r1QrmjLRj0KswaJToNQrmFg+dYTMt/+gLNUeTVa/uIOSNAJCWP3SWlSAI5I/7btjthUIhBEFApdr7Pd9kMnHRRRfxzDPP8MEHH6DRaDAYDCxZsoR4PI5Go+H0009HkiTee+89Fi9eTE9PDz5f4ndx8+bNjBkzhqVLl1JXV4daraasrIxjjz1WFrQOIbKoJSMjIyPznUGSJLruvZfe555HW1aGwmIh3NSEcf480m66CXV+/p6+sRid991H73PPoykZQ8rZZyFFIrT97nfE/X7yX/s3bXfcQcddd6PKyEA3bhzBikq0paUISvnnT0ZG5vBy9+q7+WrnV1wz7hquLLsSf9RPmj5t2PuPNI8E4PL3L+c/5/yHXNOeCG9P2EN1bzXTMg5P1mmTuwmAfEv+XvtMy5jGA/Mf4L6193H3MXcnaxccDFeUXoFZbaYwpZDpGdMpsBTIC/BHECku0f1EOZFWLwCCVoHtohKCNX341nTgW9OR6CiCcXZWclH6SGM9pxjnC1W4P2pCNKqQQjH8u8SkcLMH3Tj7Yct26F1STaC8B4VFjeXUkRhnZyUX0FPOLCTaHcC3vhPvqlbC7b4BEeWRdh8xdxjrT4oRVCK9r2yn99/biXb70RSlYD27iO5nKhC1SuxXjUOdue8aDbpxdjwrmol5wihMaqRonEiXH3XW4Cjp4PY+oj0BYr1BlKk/Diukg2W3OLOvGi7DIe6PEO0Nos4ZuNDX/59E1p6mwEI8Eoe4RGSnd0/7+40AaMemojCpUZjUxPpDeL9qI9LhQz8lHf3ENJAkep6pIB6OkXbDBADcHzfj39JN3B9BCu6yDjSoUKbt+eyNc3LwbehEAiynjCRQ0YPr3TrUuSZ86zvxfJoQr1IvK01mh0W6/QnxttJJzBvGvCiP4PY+wq0e4sEoolaZOPaGTuLBKIoUDY6rxw0QowzTMwa8D6Jm6Dm5wqzBfmUZnpUteL9oI9zoxnHteASlSNQVpOepCtQ5Rqznj0YQBaRInK7HtyCoRBxXjSMeiiFFYkjhOAqzOlm/65tEuvx4VrXiX9+JaFJjO28U2lHWIUYDgS3d+Dd2YZydhfmEEcnX045NJVjpxDQ/B8tJI4fcd1+o0g3YLyslHorR9a/N+NZ3yKKWzLCQJGnAHKml18+971dz/rRc5o1yEI3FEQWBv364nUc/rUv2m5htwR2IYNGp+Mu545OCFoBWpWBRaeL6mz/KwWc7uvnXyjo0KpGLpg+c53m/2AkipJxReFAZpMaZmfQvq6fApANPmO5ghL+dNAlBEHjomoQd9Xvlbdz48iY+ae3jzLUd/KFqJxkqJbedMnLAPVolqvj1lF/ztw1/Y3Xbav5T/x/ubb+V4h059PclgjsClU4EnZLaU3Lx+gPMv6QEQRBwf9zEKzZQ94s8cMEESjJMFKUNzwbvx0z95m5q1nUy7dR8SmZlojV+961Uw+EwarV6v88YmZmZnHPOObz66quMHTuWiRMnsmLFCsaOHcv48ePRaDTEYjFcLhdVVVUUFhZSUFBAY2MjW7du5d1336W5uZmFCxcydepUdDp5/nWoESRJOtpjGMTUqVOl9evXH+1hyMjIyMgcYcKNjdSddDKWs88m8+67EPaSEr4bSZKonTsP/YwZZP3lPtpuux33u++ScdddWC+8gFBtLc1XX0O0uxvrRRfR9+qr2C69lPTbfnuEzkhGRubHiDPgZNFri7hs7GXcOuXWb/UakXiE5Q3L+d0Xv+OC0Rfw/2b+v2TbLz75BataV/Gbqb8BoM3bxuys2czLnXdIxv9WzVvc+dWdLDt72SERq2S+W0iSRKi+n5grhMKkRjSqCNX107+sHgDLySPRTXSgMKkTi8WSRKw/lMwqEXXKYUVgH9ZziElIsTiiWkFwRx+eVa1Yzyqi6/FyFBY1aT+fOKQYIUXjBCp6iIdiiYVjcXDNg70eMxJn511foZ/gwHpO8V7fg6grSMe960g5qxDjzD1ZVH1v1eBb10nmHdNRmNR4VrXS/58GAMzHj8C8MC+RaSIyrDFFOnx0/n0jxrnZGKZl0PvqdiKtXrLunDkg4yQeiNJ2z2qQwHreKAxT5AXz4eBd3Ybr3bqEJVyRFePMA7eR2i2+RHsCWE4rwHRsdrKt9fbPB/RV55nQjklFN8YGArjeqUOVZRyQiSBJEp4VLfg3dhJ1BlGmalFYtYRqE3aCxmOyCLd4CDd7UNi0SNE45uNyUVi16HbVKwm3eYk6A+jHOZCi8cR3QBSIdPnp/PtGiCfWh/RT0rGeXbTf73qw1kXPU1uxnFaArsxOx71rgYQonv6ryXu1HzsQ/Fu76X2pGsP0DFLOLqL70S2E27wQlVDnmzEfP4JgpRPvV21D7i8alBjn5KArsaHKSIjFvnUd9L1ZAwIYpmYQauwn2hVAPyUdw7T0AcJ4zBum88ENKGw60m6YMODeEg9GiQeiKK0Hf569r1QTanSTefv0g34tmR8GkiTxVZ0TTzACCAgCbG5x8UFFB029forTjMwYaSPDouPRT2txB6MoRQGdSoEnFMVh0tDtCXHB1FzmjnKQHoLNr9QQj0pc+PvpGG1amiudZBZa0HzjdyPc6sH9cTOmuTloCgYHibhXNuP+oAnDrEysZxYNaj9Qoq4Q5Z1uznk2cf9o+PMpA34Ho7E4Jzy4ClwhnonrmR9PZJx+fPFUrv2wimd/Ni1Z/wvggQ0P8GzFs4wPjua+hpsGHEuRqkV5ZiGLlqzHHYzw4lUzOKbITmufn/l//ZSLZ+Rxz5llB31OPwS+fL0Gs13HuPk5Q7YHfRFevnsNerOa826fiuIozg29fUEC3ghtO1ykjTCRPtKMuJes3bfffpv6+npuvXV4z2htbW3YbDa02uHd56uqqnj11VcBWLBgAXPnzh3eScjsFUEQNkiSNPW/t8uh6jIyMjIy3xkClZUA2C67dL+CFiQWfXRTpuBfv56Oe+7B/e67OG65BeuFFwCgKSqiYOk7dP7xT/S9+CIKq5XUq686rOcgIyMjs7xxOVEpyukFp3/r11CJKk4vPJ1NXZt4dfurFKcUc/7o8/m05VNWta4C4P71iZqBalHNy9Uv89QJTzEjcwYAnb5O3qx9kzMLzyTLeGC1h1a3r0ar0B7wfjLffaS4RO+r25P1mr6JaFShtGoxzskesGgrCALKlINfsD2UCAoBQbGr/s4oazK7IuXUkfS+sh3fmvZBtnyhhn763qol2pUoAt+/vDFR9+OikuRC974It3khJqErTd3nQr/CokHQKfGt7ySwtYdobxBBIRJ1BjDOykpGtBvnZBNzJTJvNEUpyfMaLsp0PeoRZryrduJdtTO5PdITQJP3jcXJZjfsimMNN7plUWuYBLY5IQ6BCieh+n4MMzIOKHM02hOg+6mtxANRNIUW+t+rJ9TQjzJFg2jcNcdVCGhHWUm9rHSQCOu4dvyg19xdh8a0IJfgtl7cnzQRqu8n5fQCwq1evF+2IWgSGZa68XaID76m1FnGZDbfN69jVZoe2wWjCLd40U9woM4dXoaCZoQJQaek/716+t9LCOPWc4pR55sPiaAFoB/nIDLfl7Ad9UcIN3tIObMQRAH3J81J+zDj7Cyi/SEEhYBmhBlBnbhH9L1Rg3t5I/4NnaTfMgVBFPCuaUeVYcB+VRkKoxopEqN/eSPer9vxb+4i7foJqHNNRPtDOBdXEg/GcJxbPOhzErXKIbPAvg2KFA0xd3hIa0WZHz7BSIzaLi/VHR7USpF5xQ7ufreSNzftHNBPIQocU2RnUWk6Ve1uXtvQij8coyzbzB/OGse7W9qISxJmrYo3NrYyLd/K/501lqrP2vjy9RpSMgx4+4K8+dcNOEaYaSzvQa1VUDYvhwkLc9GqRbqf3IoUihHc0UfKGQVEuwIIapF4KAZxCd+aDvST0vZp99tW68Li0GGw7N9qTZmiodRgY0FJGjcuKBp0r1UqRG45fhS/XLKJ5wgmty9b20J9j4+Pq7q46tg9mZIzM2bybMWz/E/0mmQNP+fKZv4uhLj1Z5N5fn0L7mAEu1HDAx/tQKtS8NLXTYiCwA3zD5+F8XeBoC+CRq8caGEbl2ip6kVnUuPIS9z7e9t9bP64JdEuwfjjBgtbn/87YTt4+i8nHHFBK+iL4Gz10tvuQ1QIrFqyg3h8T9KOWqtg3PwcZpw52PVhd6bWfxMJx/jitRpKZmSQWbTHYjsr68Ceh/Lz87Hb7eTl5TFr1qwDPDOZA0EWtWRkZGRkjhqRri76XngR+/XXIRoMBCu3IahUaIqGH/GlnzIFz/LluF55ldRrrsZ+3bUD2hVmM1n33YvlzDNQWK0oUwcXspaRkZE5ECLxCK9Uv8IZhWdg0VjoC/ZR0VNBfX89C/IWsLRuKWNsYyi2Fh/0sW6ffjtd/i7+sOYPfNn2JStbViIKIk+f8DRKUZmoe6XUMHvJbL7Y+QUGlYHlDctZUr2EcDxMeXc5jy56dNjHq+ip4P2G97lm3DUHXSNL5ruH96s2Alu6MS/KQzcxjbg3TNwbQZJANzb1e7+QqpvgQLO+k/7ljejGpiKa1PQuqSZY40IKJOzQUi8vJeYKEajoSWY7qXKMGCalYZiZOWQ9HvfHTbg/bgbY72K/IAiIeiWRVi+iSY22KAUpLqEpSsG8KG9AP8tpBeinpg9pGbg/BEHAcc04Ip1+Ih0+QvX9+Dd0EnMG4Ru2h8E6FygENPlmgrV9gyyrZIYm2uVHP9GBpshK3+s7iLT5UGfv+3OKB6LEvGGkcJyexRUQl3BcOx6FRU37H9YQrHQiqESkSBxEyPj11G8l/AiCgG5sKtpSG1IwhqhTIkkSujI7qkzDntccXgnHJPoJaegnDN8mF0BQKcj8n6mE27xE2v0Ql9BPSz/k15j5hBGE27wEKpyIRhX6KemIagWGyel417YT7fRjOXnkkLWsFDYtvjXtBMp7cH/chHFmFpGdXkwL8lDsEhgFlYKU0wsxLcij66FNdD22BePsLPxbupFCMexXjEWVvn/x+2BQWDQQXRv6jgAAIABJREFUl4h7wyjMcs2VHwuSJPHimmb+uGwbwUh8UPtNC4s5YWw6u022slN0WA17FuQjsTieYBSrXoUgCEzM3bMY/8sFRcRjcT59rpqadZ0UTHSw8Kdj6G3z8fXbdTSW91A8xYEkwcYPm9iyooWCDB2loRi2C0fj39SF6+26/x4SugkOrOeO4rMl24mG44yekUFmsQXlrjqSfneYt+7fiEqr4Kq/zgERgt4IPleIbV+0UTDJQV7pwGdyrUrBMz/du632qeMyeWRlLc93eJLblrX2AbCuoXeAqDUraxZvzH4F/dO9GBZmoStNZevKBpZKYTY8tYYeb4izJmZT6DBw/4c7+MmjXwFw6cw8Mi0/XIu4xq09LHuknGPOLWLirvmIJEm890g5zZVOACYsysWRa6JuYxcIkJZnYvWbtYwoS8Xi2PPedDa42bGmk6mn5uMYZhDEoSDkj7DuvUa2rGxJBuzsZuZZBRROSqOn1Uvthk42LG+ipaqXsnnZqLVK8spSUakV+MIRXigYz/iWPuxNAQxWDdYMPdvXdLDt8zZ2rO3k7FsnkTbCPPQg9oNOp+PGG28csk2SJLqaPDjyTIjf8zn3dwH5SVVGRkZG5qjh+/IrnE8+SbSrk8x77yW4bRua0aOHlaW1G+O8uTifegrrRReSet11e+1nmD37UAxZRkZGhs9aPuMv6/7CZy2fMTFtIo+XP55s25099dtph8bmVK1Q8+D8B/nNZ79hRcsKJqdN5s9z/jwoi6ostYzFlYtZXLkYURA5veB0bFobz1Y+y8bOjUxOnzys472w7QVMKhNXjZOzWg8XUlwi3OJBnWUccgH2cOLf0o0qx4h50YjEBvsPa/FGEASsZxXR8fcNdD2yBVWOkWClE4VZjX5WLqb5uYi7sjeMs7OIecP4N3UlFu7erSe4o4/UK8YOEPfCrR7cnzQn/68YRtS5foIDz4oW0q4fv88aVoIofCtBK7m/UkSdbUSdbUQ/3rHLlm5XhlAwinlhHoFKJ5rCFHRjU3HtylQ73Ivz31d229dpilKI9YdRZRnRllhBAM9nLdjOHz0gu8n1fgNSIIoq04BmpIX+5Y0Eq3sBEM1qHNeOS77XaTdOBFFAlWkg7gkjReIHnckkCAKCTpn8Wzf26ARuiXoV2iIr2qKh61EdCgRRwH5ZKaHGflQZhuT3WFCJmI7J3ue+2sIUNPkWemNVeFa0JGoBSQxpq6YwqHDcMIH+ZfV4P9+JwqLGfv2E/da4OxTsvrdEXaEhRa1Ilx9Rr0wKcTJHnnhcwhuO4g1GSdGrkvWoerwhVu3oZuX2bj6v6cagVjKjwMaiMenMH+1I9mt2+rnnvW24gxEAHCYN3mCUz3Z0M3eUgwum5jI6w0SnO8i6xl5m5FkZ1xtBFQJ1nnnIbF6VQsRmUOPtC7L0oS2UzMyg9NgsFJKEq8WD6/Ua9L1BZpyWz6RFebj/04C0o4/psThSjh6pzgVKkbJcA4FonIg3DECfIJB1xVg8K5qJ+6MgJGxSRYMKzcgUIpEYlZ8n7pnb13Qwdk4W8y8pAWDH2kQNzkgwxhM3f0Y8NlB9qN3QxcV3zURvHv61LIoCvz5hNNc8vx5RABUCO4KJsa5t7B0QsCEIAo5yNT6liHFWJqJeRYNDA91+droCqBUitx4/ikgszv0f7gDguNEObjzu4IPRDgfhQJRYLI5umN99KS6x/v1G+tr91G3qQqEUUeuU+FwhALZ+2oo914RCIeDqCtBc6WT66SNxdwfYsis7C2DU9HRmnV3EC7//ii0rWph7wahk2/av21GoRCYt2r9NeSQUQ6kWDzrYwdcf4pV71hL0RSg9NovCSQ7Mdh3r32+kYKKDgokOAFLS9RROdlD5eRtbPmlhxfPVAGiNKkqPzcK90cGUVJGvP9iMITTw2my2K8kIwzsPbqJwShojx9sx23WseL6KmWcWkltqS54TgEqT+C0aToZt0BvhrQc20tvm4+xfTyKr+PD9Zv5YkEUtGRkZGZmjRtybKIjd/85StGXjCJaXYz7zjAN6DXVeHsWffXoYRicjIyMzNCuaVwCwpmMNazrWsCB3AZeWXopRZeTBDQ/ii/g4reC0Q3Y8lULF/fPv59/b/83CvIVkGDIG9Sm2FrO5ezMzM2dy56w7yTXlEogGeHX7q7xd+zYTHBNQiPsO22/ztvFR00ecO+pcDKof5qJ3tC+IFImjStMftTEEq3txPr8NUa/EeEw2pgW53/pBX5Ik4r4IokG1z9eIh6J4Pmsl0uLBfFL+txz59wOlXYd5QR7uD5uIh2IYZ2dhOa1gyMUGhVGNaU4Opjk5eL7YSf979QRr+tCNtiX7eFa1ImiV2M4dBcO0BzQvGoFpXi6i5gBTZQ4CQSWisGgIt3gSNZaUAs7ntgFgmpuoJ+QC3B83Y5yVSTwYI9zkxnxi/vc+Q+9QEO0P4Vo6MCNBlW1MXCML8vB80ky3J0zqJWNQGNVEOnx4P2sFpQjRPdkVCosG45xsdOPsKL8hgKpz9kSyy1k43w5BJaL9louAgkIgdZco1r+8kWhvEE3e0NkFyhQNtotLCFQ40eSbk5ahhxtFSuK6iPWHB7VFOnx0/mMjSKBM06MbZ8e8KE/OujxCrG/s5ZdLNtHev8f6zqBWUJZtwROMUtXhRpLAbtSwoCSNQDjGiuou3ty4E41SZFq+DacvTEOPF7VCpDQrkQGyrqEXCbj95BKunVOQzNwoSjMyuzCV3iXVuMp7AJA0CuJmNZFoHJc7gtuhJ3N6Ovnj7Wj1Kj5evI2+dh+r36pj+9J6phkUaEUBHZCvUaD3Reh5vJxIhy9ho6tTQkxCYdUgRePEPRHEJjcxf5QosGF5I+eMt+8JgvkvWrcmsqRmnV1I8zYnlZ+30bytF71ZjbPNR0aBmamnjmRndR9KjQKdUYXWqMLV4WfdsgbWL2tg7kWjD+hzWDQmjUl5KURicaK9IaoDCZGm1xemrttLUZoJSZLwftGGb2MnhmkZKIxq3MEIlQ417HJevnTmCHJtiXng/505lhkFqYxKP3LZRgdC3cYuPnm+ikgwxrHnFzNhQe6A9nAwiscZxNnmxecK43eHaa9x0dnoTvZRKEkKWmqtAndPkHce3JRsN9m0TD5pBKIgMH5BLkq1iN6iQa1VIAgCRVPSqPqqnWg4hs6oxtcfYvvXHRRNSUOt27esEA3HePmur9Gb1YgKAa1BRdYoKzklVtzdAXas62TsnKwBmXvRcIxPX96OxaFj/IJc1FoF0XCcDe83EfJHOPs3k8n6hj3gop+WDjquIAiUzc2m9NgsuhrdREIxyle2snF5E4JCwdiWMJ0WBb6zs7CIIsreMF/2eliTrSRfUHBHk4K6DV1UfdmefM2VL1Vzyd0zqfx8J2veqScek0gfaUZnUtNc6WTuhaMYvZf6m5IkseGDJnrbfcy/ZDSpOd/N6+37hixqycjIyMgcNeK+hKilnzqVzj/+EQDLGQcmasnIyMgcKdxhN+/VvccnzZ9wasGpaBQavtj5BXfOupNUXeJh7IkTnjgsx1aJKi4Zc8le2y8suZA2Xxt/PvbPWLWJRT+dUseiEYt4q/YtPmv9jDfPeDM5zk1dm3ii/Anunn03afo0Nndt5qaVN6FWqLm45OLDcg5HEykaR1CK9L6ynXCLh5TTCxJWc0dhQTDS4QMSUdfuj5qQYnHMi0YckLAgxeIEt/fhXd1GqMaF0q5DPyWdaE+AWH8IdY4RKRzHNC+HUJMb13v1xN1hUAjox9kPyXnEYnFikTjqQ1RP5lBimpeLKl2PpigFUTO88RlnZuJZ2Yx/fWdS1Ir2BglUOjHOyjqgLBhBFBCOoKC1G2WqluD2xEKj/adlxHqDBLf3oh9nR9Sr0E9Nx78hUetrN4ZZmcOumRZu9RDtCaCfeGAWdd8HAhWJ9yT10jGEmt1EuwJJq0nL8SNQOXT0vl5D18ObSb2sFP/mLhAFMm+fhhSJ03HfOgDsVx5+mzqZb48m30La9RP2a8MpCIfuXjlcdmdqxfpDg9rcn7YkstKOyyVU48LzSTMqh+4H+V082ji9Ifr8EcLROF/UdvNlrZPVdU6yrTpuWliMSavEoFGypcVFfbePVKOaWxaN4rjRaYzNMieFqWgszrrGPpZXtLOx2YVVr2LGtDwumZFH8TAElEirl0B5D85UHc0dfuzhCAZfBFEQsCsFHB1e6v/dz+oXq9GmG9D3+DndoUFK1SJ2+olpFBCMIdi06ItT8K3pQNAqSb1iLLoSG5IkUb+5m7QRZrQGFd6+IL6NXXR/3IxehI4GD+UrW5mwIJdYLE7Vl+1kFlpIzTYS3ZWlpdQomLAwl3HH5bDpw2b6u/z43WEKJtjpbHDz+as7OObcYjR6JZ0NbqpXt9Nc2YuoENi6aidF09IHiBPfJOiLgARNFT3EohKjZ2WgUIgs/ul0QrEYdzyxlupACAsC/UisaeglEpPQ9IZQL6tHNKowzU/Ugbr0qTWUt/YzOS+FcdkWfrVwT6mDy2blH9D1EQpE+er1Gsrm5aAxKGnY3IMpVZvMEjqU9Lb5+OjZbdhzjCjVCr5+u47CSWkYrYl7RdAb4YXfryYciCb3USgFYt/IjMsencJZt0wmFIjS3eRm6UNb0JlUTD0lH0uanqA3giPPhGKX9bJjCLF/8gkj6Gv301zhJOCJoDEoyR6dwsTjc+lqctNU4aSpwklGgYVjzxuY7bZjbSfevhDevhCmVC1BX5TGrc5ku6gQaNzaw6RFeeSOsZGaY6R8RTPbv05k+238oAkpDrFdwSOjZ2bs9ZoZClEUyNiVlZs7xkZ/t5+rl3/CdmMmTpMC8BGLARYYlWnmMpuRJ1t7cFwwkkX6UtpqXElrxs0ft7D4ti8J+iLkltqwpuvZucPFzh0uLGk6Pl5cRVuNizkXjEKpVtBR38/KF6sJ+iKE/FFikTjF09IZO2ff2cUyw+e79wQiIyMjI/OjIe71IqjVZD/4APVnn4MqKwvdxIlHe1gyMjIyg1hat5T/W/1/BGNBSlNLuXb8tRRYCohLcUThyFrIDcUo6ygeW/TYoO2Xl16erPd13UfXUWwtRq/U8/nOz2n3tXPbqts4peAU/rTmT2QZsnj2xGfJt+Qf+RM4jATrXPQ8W4n5uFzCzW5EvQrXO3WEW72knFZAqL4fpUO33+yteDiGoDp4+5RoTwCFWU3qFaX0vbYDz4oWwi0ebOeNRrEfKx4pGse3oRPPpy3E+kKgFDDNy8G/uQv3B42IJjWiWsRT6wJhj52aKttI6sUlqLKMSduufeHuCVD1VTt6c6JoeMY3bLrczgBVX7bTUtWLuyfAMecWJxcbRk1PT9bUOJoICgHd2ANbkBaUIvrJ6Xg/34l3TTvqHBM9iysRdtkXfR9QpRsI1fUDoBlhQihKwTB9T2an7dxRpJxaQKihH9+GToKVTqLO4LBFre4nypHCcdQjzCitB2ed910i5g7jW9uBMl2PrsyOrmzwtaOfmIbSrsP5wja6H9uSqGE1NjVpBZf2i4kE61yyoPU94buY4STqlQhqkWiXf8D2qDNAYEs3xmOzMR+XhzQvl+5Ht9D3Rg1STMIwJf0ojfj7RZc7SLc3RGOPn1SjmuI0I7VdXuq6ffT5w2RatLS5Ajzw0Q7i33AkG51u4uIZefz8uELSTHvuexdN37ftmlIhMqswlVmFB24L2tnopuXZSuzxOOubvfx/9s47zI3y3Nv3jHqXVitt3/VWr9f2utu4gAuY3iEkhBYghZCQRtpJTkgllSTnJKRBQhJq6IQOphg33O11WW/vXdKqd83M94fMmsWVzvmi+7rgsrSvZl6Npj7P83t+U+a5cdQ70Js0aA1qMuEUntcGcA6GmaJXk0imsZjUqEwapJEY+vo88j4+FUVW8A5GkPUqRFHEtbQITX72Xmf7sz1sfaobBA7zJgJwFBnZ8FA7KpVAd5N3QoV15mdnsOHhdsZ6wyy5uIawL4HerGHhuYc8rYY7g7Rt3QHAs3/cM/G+xZlVBI12hxhs9fPEb3Zy6jUNTF1USPv2UVzlFsYHoxx4fZi+fT40ehXJWDZhEw0mWXBOJTajBtBQZjeCJ8x0VLQisaXTx3cf3wfABqwUfHkuKouWtCSzZyB7Xbx+WRXnNL676/mmRzto3jhMy+aRSW0Vrfl6Trqwmtr5783xKKVl1vx9P1q9irM/30gylub+H2yha/cYjSuzaq39GwZJxTMsOr+K0noHdreB4a4gz/5pNyUz/Azuy6eg0kwovI9I+AAahxF7gR1bvnliGW9GURSSyRFUKiMq0cyWJ3soqrGRTkpc8o15qDQiiqIQ9MTZ8HArz9y+h3gkDQKYHRqaXg6xb90Aq64pp3ZeFd27vWx6rIP8MjMrrqjHUWhEq1cT8ScZbPOjM6oprLSx9v5Wdjzfy47neyfmYi7ZQe3SKJnRy1HrVOhNGqz5Biob312xgc1lZNCkQ2NV6F45C40gIANxScakEglLMvcPj3PXgJfbGyoom5ZH2bRsEtji1NO8cZjln5xK9VzXxHUkk5YQRYEtT3Wz8/leQr4E5900i50v9BINJKme40JrUGMvMFK36PBuGzneOYKiHOHs9SEzf/58Zfv27R/2NHLkyJEjx/vM8A9+QPjFNdRt2kjG70cQBFT2E6+8yZEjR44PAkmWOOPRM3AanNyy+BamO6d/2FN62zza9ij3t9xPNB0lnomjFtWcOeVM7m6+G4DFRYv51fJfYdMd7jHybgiMxfCPxCiusaEzaoDsw98Hmfjw/mP/hM8NZIPP8QM+wq/0I+jVKImsV4RxjhvTSUWonQZiO0bRllomPFeSvSE8d+zBeXXDpNZ074SxP+5GUIu4PtuIoihEt44QfLoLQSviumEWGtfRk2ueu/aRbPOjLbNgWVmGrtqOqFOhZGSUlIRo1KDICnI4hZyWie0aQ23XYZxXcEJKsGQ8w47nemh6pR85c+g5ccUVU1GUbFVw29YR/CPZoKtKIyK9ydhea1BTf1IhSy+tQVR9+Mnet4uSlvHd20yi3Y+gFhENGvKvnY6m8P9GokIKpxi+dQuaUjMFX5xzzLGZ8QQjv9yG45JaTAsOD7Ike4IgH/IdkmNphn60GQDzySXYz6l677/AB4yiKAQe6yC6bQQEssf3tGMHoKVwCt/9LSjxNPmfaURl0nxAs83xn4DvXy0kDoxT9J1FE+1L/U9k91H3N+ajsekQBAEpnGL8gZaJogzbGVMmJWOlcArRoJ7kAff/I8mMhKKA/hj3FBlJ5h+bevjtmjaiKem4yzy13s35s4vRqUXK8oxMLz6x+yLlYHGHnMigJCVUDv0JXXcTkTQhX5ywL8Fge4CePV6S4wkK1AIDaQV7oRFZyiYSjoZGJaA3qHHXOZgxz4W51ML4cJSwL8GGR9onklZTFxWy4oqpRIMp7rvldarmuHAUmtDoVJjsOswOHXqVwObnehlo8+OusDLUHgCgcVUpBzYNk05IaPQqTvtUA+XT87jrGxvQGdSc84VG8g+2VNv0WAdNL/Vz1a2L6W7yYnboKKi0TfLQevr2JvqafSgyFNXYGO4IotaIZNIyRpuW6jlumjcOYbJpMdl1hH0Jrrp1CaIosP25Htb2ebm9e5QlqDEAu3QwnswmwC7RGfjG15ZQaNPT5Ymw6tevcdvHZnHpvNIT+i2PRs9eL8/84VCS7qSLqiiqsvH4r7Ot/FRqgfnnVBIYjTHWEyKvyEQmLaM1qFn2sVqMVi2KorD16W5sLgP1B1vVKYrCQIsfrV5NQaWVwGiMTY910N3kxVVuoWKGkwXnTuHu/9qEe4qV0noHXbs9DLUFKK13MOf0Cp78391oTX7yZz6B3tGDWu/Du/888hteQ9R6JuY8+PpnyITmcd0vVqMoCuPjm1j74EaSYQuucj3h+MukYw4S/koig4eKjZdeWsPs08qJ+BM8+JMtpFJhbGUtmAo60Lu2IGpi9K+9mbivBlETw1HRga+jEXeFhdM/PR3bMe5tAWKhFN7+MENdvQyO/B5rxWY0Og2LFj6DwXB4Au6dEgqFmL9hDw0GLU+sXHjEMd9rH+Dvg15un1bBhQVHb3nb0Xkb6bSfysqb0Ouy91HNG4d49Z4WCiqtjHaHmHtGOYsvqjnqMnKcGIIg7FAUZf5b388ptXLkyJEjx4eGHI0hmrKBIrUjZ5SZI0eOjyYbhzYyGhvl2wu//X8yoQVwSd0lXFJ3yWHvT3dOpz/cz/Uzr0ctvvePBi/+dT+evjCCAAWVVmxuI62bR7juV8swfAA+JcnuIInWccynlCIFk2RGY2hKzNm2YgqEX+3HfEoJyBDdMkxs5xiCRkRJyyBAwZfnonYa8D/SBpJCsj3wjpJa6bEYcjyDtsxCxhvHcLCtlSAImBcVoZtiZfR3u4i+Poym2Ey82Ye+zo6SlJBiGSRvnPRojIw3jvWMKVhWlE5SGghqcSJ4KYgCKpsOFdm2aSeKoig8c3sTw51B6k8qZNEFVaSTEg//fDtr72udGKc3a1h8UTVSRmbmitKJKu2dL/Sy77VB9rw6QDolMff0CuwFH5532TtB0IjkXV7P2B92I2hV5F/T8H/K/0hl0VL8/cVwAoWrKpsORIHIpiFEs+awZI7nz9nAnfNT04msGyDZFZz4W7zJg+3syvdM7SJlZELeOI4POHkY2TREdNsIxvkFmOa60VUdv7BKZdHi/lzjCZnC58jxdjGfVER8twfPn3ZjnFsANTZu29rDqFXD679ZSzwtYdapKbYb+OzJVaxucBLbMYrvvgPYzq3CsrQEOSUxfOsWdLV28q+bgRxNk+rJqpR1Ve9N4crLB0YpthuYVmQ97thQIs1n/rmdRVVOPjavFJNOjc2gIZmR6PXFqHGb0ZxgEUQyI7G7L0BGVhAE+NFTzXjCST6/oppPLirHqJ18H/Pc3mH+9+V2WkbCrJjqojLfhFoUKLIZAKh2m6l2mcg36+gbjyGQ9bM60XNbsicICsQP+IhtH0WRFZCU7D2EWsRQ78A4twD9VAeCSkSWZIbaAzhLzRPeRA/8aAvJaDYZIwiHTt8DaYWa2S4C4wnMDh3TlhZN3DdZ8w0YLBpCnjjegQjxUIpoKMVQu5/OnWOHzXP+2VNIJyWaXunHNxTB7NAjqAROvqwOk/3wa9zJn9Dx6C93MNoTwlVmRqVVseiCKmYuL6XplX4aV5biKDQx0OonnZBQJIVHf7GD4jo7ecVmDmwcoqTegdmhZ+aKIyeSFl1QRe8+H0U1NkLeBBUznfQfGGfmilKWXVaLKAo0LCvitQfasBcYGe4I8tp9LSy+qIZtT3cTNikgQsasYXZa5OVkdGLZjybjaF9u52cXz6TLk32/yvX2ri+ynKSz67e48k/Dbp9PKpHhlbsPoDdrSETSAATH4jSuKOOSb80jMp7kxb/tZ8u/uyaW8UYBEGSvc4svrKZ1ywjbn+0BIBnNEPbFad8+RiyUQlQJnHJ5HWvvPXTPlYyl2f5sDyNdQUS1SHeTl+4mL/YCI7ULC6hfVETz9lcomL0JR+3zoCho1XVIQgj37EfQal3U1f4Oi6WBVMqHt/mfhPsX0t3xIAP9j+Dp1jGy57rsfLsBsv/WGtPorD6Soey9QdPL/Yx0hRhs85NOJak49WcUlJdjNFai034Knc7NrNl59OztYttDVfg6GnHWv8SSS+cRkwbJ+PIQRT1jnueIx3uJx/vRal1YrTPJcyzDbp+H1rkRIXoHTms/M2b8iT17Psem11ficq2mtPRqhocexulcQUHBuaRSPnS647d8TKfT7Nmzh2nTpqHVanl6x25CBitLC49+LvxKRSG7Q3FuaO5lRyjKLdUlaN5yvY9EWunt/VN2W2nzqa76KgANS4vJpGR2Pt9DfpmZGcvfXSI1x7HJKbVy5MiRI8eHRv/nbyQ9MkLV44992FPJkSPHfzDRdBSj2njUIMZNr9zEXs9e1nxsDRoxV5V/onj6wjz0023MWlWGRq+ieeMQsWAKgLM+N5OqOe+9/8CbSY9EGftzUzYI/flZWRXTm3xUFEUhMxYjKsDmJ7rQqgTm1NjJdAaIuo2oNw9jmutGNGkIv9qPaFKjzjfi/vystzWP8LoBgs91g5JtLyXHMtjOqcLylp76vnubiR8YB+ktz2eigNqpR4qkEXUqCm+ej6A5cgBQOhgwK6yykUlKR0wcKopCd5MX/0gUg0WL0Zr9LzAaY81dzSz7WC2zTj1UFTvU7me0J0zNPDcGi+aoKjspIzPSFaRlU7Ytj8Gi4ePfXXjEgNl7jSIrZNIymvfIx0rJyCAK/98nLYZ/vhUpkEQ0ayj6zqKJ75sJJBn5+daJcaJFg5KWURIS1jOnEHq+B/eX5qAtNr+j9SqywmCbn0xKZqwvzP51g8RCKS66eQ7FtR9MkVN6JMro7bvQ1zhwXtPwkWxHl+OjhyQrRJIZhoNxerxRdBoVK6ce2deqfzzGWDiB26LHqFWhVokYNCq2do/z2M4BNnf5iKWzyqEyh5E/XjGXUoeByLYRNq7v5XlPiFfJEEQh36Bh9hQH04qshBMZtnSP0zEW5osra1lYbqd2s4dEsw9Vnp7keJybiVGEyJVaA6UpeJIUfhG+8+NVCCqBof4g9z1xAF8sxXiREY1K5HvnNlBoO9ReT1EUHtrejyecZFaZnbnlDkw6NU81DXHTA1llSkORleVTXZw1o5DGUjsHhkPEUhmqXWbsRi0jwQTffHQP69o8k7ZNid2AJCuMhBLMLbdTmW9mZ58fk07FnVfPx2bQ8PeNPRg0KuoLLcwotfHQtn5+93I7ocQh/yCtWmR6sZVdfQEWVzk5Y3oBB4bD5Fu0zC13cP0/t1PlMvHNM6ZyxvTC9/Q4T3QG8N65N/tCFIiXWQgFkoihFKNpmXyTGreiIKZk1PkGHFdN48m/7Uc3HCGEQP7MfCL+JGO9IdwVVsZ6Qmh0Kub0SyFBAAAgAElEQVQsL0G/cYi8laUUv01FbCKaZv/6QQwWLc5iM+HxBOY8HYWV2QB+zx4va+7aTyohseDcykktA99KLJRizV37GWjxI6oFzHYdp14zbdI5evO/O9n5Qh+X37KQ3Wv6GO0N4x+KYrQL1J7xIEllLVptAXbbXGz2+djtCzAZayZ+h2f+uIfhjgBX37oErUFNKp5BaziUmExE0/zt5vUAOAqN+EdiWPL0hMcTjKhk7rEkuWROMZ+QtXysqQeAOpOOtmiSfLOW9d9cxT2be/jpsy003XL6wdaFxyeVyDAeeJH9zTcBIm7HdYztOYeBvhdRS/PQGy3kT0mz79U4dreRMz4zHbVWxQM/3IKrwkLVLBfh8QT7XhtEEEGRJy+/YoYTRWHCqwnAYNEQD6cnXucVmbjgq3MwWDTseL6Xlk3DE2o9o1VDLJQdaynZQcnSbPtxt+ssamr+C4OhhHTaT2vbj5hScQNm89SJ5a5/9jfseXKy3YO9wMCqzwXYs+s7VJR9m+qpl6LRqRgYeICNj7+OI28B7etLMDt05E+RURw/pWbWfOqn/viI2y/oiSHJIXoGb8Yf2DzpbyqVEaOxEr2+jFisk3i8F1lOASIgo9eXUlP9TQoKziEW62V4+BEGBu8jk8kW1giClljUhsHowWKZQUnxJygsvACV6shFVGvWrGHjxo1ZhasCG2obaSmawq6lMyjQTd4f0ukQe/Z+jtLSq3Hkn8GPOof464CX2RYjEUniO1VFnO3KFr+0tf+c2wf8zNOO0KALs2B+Lp71fnI0pVYuqZUjR44cOT40eq+6GhSFinvv+bCnkiNHjv8gUlKKdQPr6Ax0sm5gHXu9e7ls6mV8d9F3Dwt47B7bzTXPX8N1M67jy3O//CHN+P8emZTEk7/bjacvzKd+vhSdUYN3IMyGh9sZbA0we3U5Sy95/9pxZPwJxv7UBID787OO6f/z5P/uYqQ7hJxR0BrVFFZa6W7ysqrWhmU8DoqCcbYb0aAmsmWEkh8uRjjBqvJERwDv3/aib3BibHSROOAj2R/GecW0wxICiXY/3r9l/SBcN85CbdMh6LMeK4IgZFsMygqiVpVNTO32MtwVxOrUozOpUWTY+lQXIW8CtUZElhUWnFuJwayhc5eH0a4g5TOcBEZjePsjR5yv1qDmmp8tQat/56o9RVHwDkR47LaduMrMXPjVOe97K8Jtz3Sz9alurrp1MVan4X1d1/9PDHx7/cS/XTc0opuSDXxGt4/gf6Qd47wCNMUmzAd9uTKBJIpKpO/nW8k7uQTHuVXvKEi84eF2ml7un3hdMdOJpzeM2aFj0flVFNfaUZ+A99s7RUnLjN6+CzmapuArcyd8sXJ8uIR8cYxW7UfCl++tRJIZnm4a4jdr2hgLJyf97aWvLafGnT2fJzMSW7rGeXBbP8/uGz5MNKlViaQkGYdRw5KafPJNWhTg37uHyEgy1W4zQ4E43kgKg1rkFL2eiy0mTv/SgknHWq8vyvJfrZ14/elllXxe1hLbNMTDpPgdh+Y41aqnNZQA4JlLZvP7dV2s8YSQyLZuEkQBlUpgRZ2bP181j46xCJs6vWzu8vHs3pGJ5ahEgWlFFlqGw0zJN3Hh7GLWt3vZ0etHUhQWVznZ1HkoSO+26AgnMkiKwi3nNlCZb2IoECeUyPCX1zpJSTKfXlbJ717pwKxTM7fczpaucYrseoxaNbv7AxPLMmpVxFISy+tcXHVSBVaDhrQkU+owUOE08dC2fr75aFZdajdqCMSyAf/6QgtPfGHpMdsTvl2SPUESrX6i20ZIpWTkkwrZ3xakr8U/MUY8WBQhZWS0okCBRkCWFQbTCiogXy1gVAmMSQpptUg6JdO4spSZc1ykXusn2RGg6L8WHddn850Q8sVJRNK4K46vspNlhaaX+wmMROlrHifiT3LqNdOoX1yEIis8eOtW1FoVl37rUKw5k8qwecsqFCFFgfscEskRgsHtpFJeAFyu05k5448IgsBYb4iHf7adky6sYt6ZUw5b/0h3kEd/kfXmUmlERFHI+hcdVL2F6i184bOzUQ9GWXTnJhIo7P36KtaPhfj03dvRqkRMOhWiILDje6vxDkTIKzYhioeKm2Cyx17L68Osf7CN4pP+gs7ZQnR4JubSDSQCJWgMfjqe+jUFM3Zgr/8rmcDJDGy6ErVGjy5/K+NdjVxz68mY7DoikVYCYykczjqe/8te/MMxFl1YRVl9HjqTmuHOIC//vRmjXcdl35mPRqvm+b/spXOXB5NNy1U/WYLqLQVM3oEwr93fhsWpJ7/UTF6Jnp6xS0glJKbX/5WSquN3k+jtfoJX/9GPMS/MtFlXY7LpKK6zozOqCYV2Y7XOQjjoFZxKjbNh41IUJUVF6S0YTEbaO36MVutk4YInUastx9l/MvT03I5KZcBgqEBBxpm3HLXa9KYxSTyelwiGdpPvXInDcdLE+if2qUyUHTtvR8CA1/s4+5VC1mkv5hzTemoSz+B0LMVsaUAUdRj0pWSkCKmkl86ux9kxMJvHCy+nSiOzR23Bj8j5eSbumFWLJCWIRtsQRR0qlYGxsefo6PwlAFOn/hi36wye9Yt8raWPmKxgV0l83e2BwMu0xpLcI1xHoy7ItxLXc8rJ29Bojl+UIykKD42Mc1lhHqpcMc0Jk0tq5ciRI0eOjxxdF1+Mxl1A2Z//9GFPJUeOHP9B/PeG/+bfnf8GYGb+TPIN+bza/yp1jjpWlq1ky/AWUnKKSCpCX7gPi9bCw+c9TIm55DhLzgHZIMgLd+yjq8nD6ddPP8w0+9FfbkcQBC7+xrx3va6u3R72rx8iGkgQj6Q57doGyurz8Px1L6mBMO4bZh3mhyRLWXXIWE8Y9xQLj/5iB4suqKKyMZ81d+3HNxhFZ1QjJzKcU2JEUKDwa/NItPsZf6AV9xdmoyk9fnsiKZJi9H92IhrUuL84Z8If5VikvXHkaBrdMYJNb7TA6dzpOczgPb/MTO2CAgZa/AgC9O3PeolZXQacxSb6m8dxVViomVdA/eJCEpE0sXCKeChFMp7BWWzGVX7sIMWJ0rZ1hDV3NTNndTkLz688ZqA65Isz2BoglciQSUnYXMZJJtwA8XCK3v0+aucVHBbouePLr5FOShTX2rnwa3Nyqps3IUsy8XD6iIq58UfaiG0fBbWAcUY+jo9PRRAEfP9qyQZVv7to0rbsbx5nzT+aiYdS6AWoKDEx65NTcZ1A2743SCUy/P1bG6mY7mTG8mzlt91tpGXzMK/88wCKAiVT7Vzwlcm/o5SWQQTVe5AgDTzVSWTjEPnXTkf/Lj3ycrw3jA9HefAnW3GWmDnnxsYPROH5VhRFISXJ6NTZc5UsK4STGfzRFF98YCf7BkM0FFm5aE4JhTY9LouOq/+2lZQks6Q6q7zYMxAgmpKw6NRctbiCBVPyGAsnSGZk0pLCSDCORa/hc8urJtYD0OmJ8Ke1nYyFk7gtOpbV5LO6oQCTTj1JYfxm/vxaJwBDgTh3v97LiqkujFoVz+4dYZ7bwu3XL+CZPcM8vWeYTk+E8EGFkwB80m3nU+fVE36ghbRezYt2kb93jzG92MbewUOtRk+tdPLrjzWy1xdla/c4W7rHKbbp+dGFM7DqsyqHUCLNL59vYVOnjxV1bk6uzad9LEzLSBjGE3ymtoBpp05WBAViKVIZGbdVTzIjoVVlizc2dni56m9bUKtEfn/5HOaU2zkwHOZ/XmpDI4rc++lFaI/iE9bni6HXirjMOv6xqYf+8TifW15FgfXoRS1vBymUJPBsN94dY4ykZUZFEW88g6KAzqRm9qnltG4ZJh5KU7uwgHg4RTSYIjAam2hXN0Unoi4x4/EmCIZSCECpy0CtS49TK5LqCSFoRSyryrGueO98hN4L0imJx2/bSSqRYfFF1Qy1Bdjz6gCnfmrahDcUQDC4m+07LqFh2m0UFV0EZI+teLyHoeFH6O39MzbbXCyW6ZhMdWz9VwnBMZlP/GAqBkPxxHKiwSS7XtlF0wsxKs/4PtXVN7HlwVKigSTyQUW7WiuSV2zitE818O3bX2dMlnjs1tMRBIH17R42tHvZ0j3O3HIHNzSW8vDPtk94QyVjaZ76fRNFNfaJIquuXR6eu2MvRVVmLLOvITa0FEP6K7jq9xCUfoW/cy5DW6+g4tRbmbnoE4yOPMVwOwys/woAtqp1LL3MRSTSytjYM2i1LpYsfpXm9T7W/auN6jku6hYVsvb+1ux11KThvC/NmkgwJuMZ7rvldRacU3nUto1vZnT0afbt/zKNjXfgyj/1xH7HdJD9zTdTU/MtzKba445PpXzs3HUFsVgPipLGbl/E9Ibb0OuLDxubyWR47rnnGB0dZeHChTQ2Np7QnI7Hpk2bePHFFwEIGEw8NP9UFEFAEQSmaUJ8PPVTamknihkJEQEZAZFeynmcj3FAmAHAfFUbH3frONkcI+h7hXH/JmQ5MWldBsMUdFoXgeC2idcJwUJ/LMAv+S4+4VCXCZ0gkFQUblW+zsmly6mr+94xv8dYMs3v+0a5c8DLvY1VnOY8fmI5R5ZcUitHjhw5cnzk6DjjDAwzZlLy69s+7KnkyJHjP4S9nr188tlPcn71+dw8/2by9HnIiswTHU/wh11/YCw+RoOzAafeiValZVHRIs6tOheL9viBfkVRSMYy6E0n1t5ktDvEK/ccwJpvwDcYAQWmLS2iYVkxJtuH6+Oz68U+WjYPo9aqUGtEEtE0pfUO6k8qIr/s2Amdrl0envvL3onAwVt5/fEOdq/p55M/XHRc4+ijIaVlupo8vPSPZkxWHeVuPbbhKAGrlpMuqMZ37wGsp1dgXZVdfyqewTcYYbDNz641/aTi2eCeSiMiAFfdugSjVUsmLdG1y4PZoePxX+9i9eV1VM1ykVBgy0NtTO0OgFpAbdPhvLoBTcGhhFlsj4dUbwjbOVUIooD/3x1Et4xQ8KU5hyXW3imB0RjP/nkvgZEoJ11UTeOKUmLhFL7BKIqsUNmYP6ll3vhQFEVRyCs2ZdVeRwmOvl+sva+F/euHUGtEPv69hVjy9KjeEpDMpCTu+d7rE60p36BmnnsiaZdJSXj6wkSDKVzlFi782pwJNVnQE+Pe723GUWTCPxydqCJ/v0klMox2hYgGk+jN2WNeUbL/U2lE4uE0iWiauoUFGN6mEkiRFWRZmbStZFnBN5DdhwfbAggClE93kk5IiCqBdDJDMi6x+MKqScq4nS/28vpjnVzyzXkUvsVPR5EUFEkm/Go/4Vf7sZ1bhXlpcdaPp8aO8xP1k8Y/9NNtJGNpGleW0bNxiMGhKArQUGzklG/O58V/HEAQoXFVGUXVtiPua7tf6mPjIx1HnE8qkWHPK/1sebKbZZfVUjPPjdGqZdeLfWx/roeCKVbO//Lsd7UPK5LC4Pc3YpzlJu9jde94OQARfwIpI2Oy61CpRPa8OsBAyzjOEjP5ZRY0OhVGq5ZUIsNIV5Caee7DznmZlMTzd+wjMBpDo1dlP2PRUj3XTe2CgqOs+aNFYDSGya57R+0/E2mJ4d4Q2x/uwD8aQ1FAb1RzzhcayS99bxLsx0JRFO5+vZdXWsZoGggQSWQmElHd3ijywXCZIMDtl8/lrBmFEyoPgO//ex8PbR+gvsiCrGTb8a1ucLOkOv89VQcdj/u29PL9f+8nIyt8fkU1N66oxqKffC/yizu28XiXh084rHz5m0sRBIFYk4fQml4GvVGuEqKUmXScqdKy0migeF4Byae7UVm0mBYUoq9xoC23kA5Hie/yoiu1o6Rl4vu8KJJM3senIscz+B9pRwqnQJJJH/QUcn9xNtoT/D3Xto6RZ9LSWDo5WX6065eiKIRfG8AwLW/SNfloSJEUglY1oXpOtPpREhmMs90oskKyO0iqL0xqIIwgClhPK0fOyGz67S764xLhgwmVvGITlY35OEvMOEvN7F7Tx4FNw6y+voG6BYWT1tmz10v79lHqFhZSMT3rURTuCzF2+250ooBo1qCyajE0ujAvLEQ8wTZ5HzQdO8Z44c59E6/Lp+dx7hdmTdx3xOODtLbdwvj4Rk5ethWNZnLQXlEUunt+j8+3jmi0DUmK4u9YzujOK6k99xcsWfE7zOapZNISD/5kK4HRbLu96R//LpIyRoHz8xx4djmJxCiJiEgqmk1Ylk51cMqyQqRohvyjJANfvecAzRuHsebrqZzlonPnGBF/VtF48TfmocgyT/6uifxSM6tvsLN1y3lMn/ETiouzfrTpdJCnf9+Kf3SMc2/W4XavRlFkurv/wIb7EwhimvpTuwlFX0EUDRQUnMvw8MPUVH+L0uJPs+XJLpo3DZGMZlBpRFZf10DZtLzDlPGSJGeVfkfY1yUpzsDgvcTjAySTI4RCu1GpjCw+6eXD1E3vJT7fOvbuu4nKypsoL7tu0rpkWaa1tZXNmzfT29sLgNPpxOfzccEFFzBnzpwjLlOSsq1XVapjnyc3bNjASy+9RENDAzNnzuSZtMhtvjjfHGtnsz/CzilTieu0TNME2JfOP+IyrhPu4ZqyUgK+l4hEWgDQ60vJz1+Fw74IBQUpEyUc2UdhwflYrbMJBncSDO4gENxJOLSXouJLkRQVXv0SRGM9CUWhxqjn5C0trNJ38cnozVitsygr/RRarROLZQYazaF7nAOROGfvaCMuK1xk8/O/MxrRap1HnG+Ow8kltXLkyJEjx0eOtqXLsJx2GkU//MGHPZUcOXL8BzASHeGGNTcQTod54oInDktUjUZHafI0sbpi9XGDprFQitGeEGX1DlRqkZbNw2x9qpuIP8msVWWUTnMQ9iUoqLTiLDWjUokoikLIGyfoidO+dZSOXR40WhG1VoWr3EI6KdHfPI4oClTNdbHiinp0hnfeBu6dEvLGue8Hm3EUGDHZdKRTEmqtisE2P3JGwVVuYf5ZU6iclX9Ez6EX/7af/gPjXPuLpUdsOxcNJLn3ltcprrFz1g0zUWtVSJJ8RAVGxJ9kw8PtCAKcdm0DYV+Czl1jNG8cJuSJo9OKnH9yEamdYyiA8KZHm6LvLERl1RH0xHn8th1EDyZNpsx0UreokLHeMLvX9B0x+SbLCnd9fT1Vc1wsvbSWx2/biW8wwtkFejTJ7IO4oFeTf00Dukobya4gnr/uBVlBXWAEWSHjjWNaUIjj4uNXwp4IiqLw4E+2Eg2kOOMz0ymt/+grTKS0zK41vWx5shsAS56eZR+rJRFLk05IlNY72Lt2gP3rhzjrhpkU19hRaUXuu2Uz0UASo02LzqBGpRHRmzSUT3fy+mMdWPINmO06VBqRkCdOyJfgih8u4sW/7mesN0z1HBeVs1307PGy8LxKHCeQVJRlhVgwidGmQzqKP9dId5CunR4G2wN4+sIo8vGfpQ0WDadd20B5gxNFUTiwcZjhzgBGqxaL04A1X088nKZ1ywiBkRjJeIZUIoNKLbL88jrMDj3NG4fobx4nGcsmY20uA/FIeiI5+2ZWXllPw7JDFdT3fX8zgdEYggD5ZRZq5rkpm5aHWivi6Q9TVG1HkRRSz3WTOODDekbWM8txaS2m+YcCs4HRGPd9f/Ok4yW4z8eG+w7Q409hEiEqg0anIp2UcFdYOOuGRsyObII+4k9wYNMw25/roXRqHisWuFDiGUS9mtgeLxlvjIIvzgGThod+uo3xoSgAWr2KVEKamMdp1zYwddHkgPHbIe2NM3rbdhyX1mGaf/ykkaIo7HqxD09/9vdW5GwiNRZOEw+nJpSSKrWIlJGxuQ2EPPHD2s5B9ne7/PuLUKmz7UHHekLsXTtA29ZRque4kCSFdFIi5IkTHk+g1ooYrVoKKm0UVduoXVAwUTQRC6Vo3jhEYDTGwvMqP5C2m7FQitHuIOPD0Ynfp6jGzrp/tWHJ07H6+unY8g1serSDoDeOs8SMzWXA7jbiG4owPhRlw3CAV6MRUiKoRQF/RkLJyHw2Y8K9sgidTUfXs32YkwrX/mTJUYtEdvSOo9eomF5sO+LfT5SXD4xy/T+3U+M2M7/CgUWvZn27F6tew6KqPOxGLXaDhqmFFmaUHHldsqxMSnSdCKlEhvX/aiPsT4KioDNqSCczOEst77g177aecZr6A1y/rPKo9zDJniBqlxHVW7ZrbK8Xz33NqAQBbbmVjCeGHMugKTQi6NWkekOgQNIxyMDMX6OLlFCy82sICAh6FUpCQlfnQAokyYwn0NfYQQCVTUd8rwfRqMF942zE9/CeRlEUUCDe5GH8wVZ0NXZcn5557M9kZIZ/vhUUBevqKUS3DJMezu7LujoH0b4Q6oPnm5RGRCUpCDoV4wpsHImTX2yidnEhFQ1O8opMxEIpNj7aQceOMQBmLC/h5MtqTzjxHni6C0WSsZ9f/ZFQGCuKBIgEgtuR5SQqUY8gahAFDUZjNaKoZbDVj86owZqvR6VNkMmECUcOMDb6LKNjTwMClVO+QGXlTYctX5ZlmpubGRwcZP78+RiNCUb7Wnnmt+Ca/gr1y700Nv6ZLU92sv3Z3onP3finlbS23cLg4P3MmP5H9u37KoObbiQ82JAdIGS45BuLDiuUeIOhdj9P/m8TRquW8HgCUS1Q3uCksMrK5ie6JsZZXQYu/eY8QtHXePxnMWz5dhad14BGqyIaTPLyPw8c1ipRlpO8tm4eLtdp1E/9McMjj+N2nYVO52L37msZ929k2rRf4nadiSJr6NjZjT99C/b8KVRX3czo2DPIchIBFXnOk4+pnhoaepgDLd9Grbai0xWi1xVSUXEDDseit/U7nwiynDUCE8Xsvflbk8qhUGgimeXz+bDbs0nohoYGTj31VO699176+vq49tprKS2drDobGxvj/vvvx2azcc0110ys4w0ymQyvvPIK8XSaJzt6aSwv5dPnnoVJo+GG/T1sCUbZubgBj8fDH15+jb8UZrfZ/J4DuPQ6QuEIiiCwrLaKc6abqHZUT7RKjERaQRAnebu9G77R2s/DI+PcU9aCeuxOYrFu1nIqC+x5lBeexS86u+iSChlQ3JiJcKPyPzSwj3lz7ibPsfhdr/8/hVxSK0eOHDlyvK9I4TCi+fjtmN5My6zZOK68goJvfON9nFmOHDn+UxmLjfFY+2MMR4dpGmtibNTPzLFTWBBfxUVfXIDzLZ5GJ8pQu5+nftdEJp2t0NebNfgGIhRUWrHmG2jfNjppvForsvSSGryDUfavGwSy3kVVc1wsPLcSS96h1jiB0Rj71g/S9FI/i86vZP7ZRzfxfq+JhVJsebKLnj1eUokMV/zwJMxv8qJKRNN0bB9l90v9BD3ZgGXdogIGDowTDabQGdUIgsBoT4ipiwpZeeUhlUdqMELwuW4sK8vQV9vZ99oArz3QhnuKlRmnFLP+oXbOvmHmYYmatfe3Tmwzo1VLLJRNTLkrLMxeXopl7xiZ7hCmk4ownVLKzn/uZ7QrxIzV5VSfXw3Ay/9spmP7GLNXl5OIpDn547UTfgwjXaGsouQIAcln/7SHsZ4QjiITQ20BrC4DdakMRYpCcHo+eSMRpGAS25mVhF/tQzRqMM5ykegMojJrUNl1WFeWHbHiOn1QeVRUdeR1H4n+lnGe/J/drLq6nmlLDm/78lHmqd/tpq95HLVWJJOSD/t7/eJCTr2mYeL1SHeQ7t1e5p5RnlVuvCkA27Z1hJbNI0hpGSkjI6oE5p89hfIGJ+mURNNLfex4oY/MweSjRq/i3C/OorjmUNV/OiWx8/leAqMxLE496aTEWE+Isd4wRlt2P9NoVShkvVGcJSb0Jg3de7yIKoGCKVaKa+0U19qx5OlJxjMIgoAgZL05krH0xLxf+kcz40NR6k8qxNMfwTcYwWDRkIxlJlooQTbhUVBlRW/UoDWqGWzxM9yZbQOmM6mpmu2ipM5BSZ0ds0NPIppVghmtWmRJQRAFnv59E0FvnNXXNhDxJ0hEMmx6rINpS4sw2XT07PUe5qemM6oRVQKXf3cBobubSQ1G6E0p+MstaIwaRFV2//QORAiMxbn61iUTiSrIBrpe/MFmOkfjlGoFFjTk4a138vrjnZjsOgqrbQTHYox0BlGUbGX/KaeWEb67eWIZaqeejC+B/aIaNC4jslogJMFwZ4DAWJyCKRbqFhbyyC+24+2PUD3XzdJLayadO0+UeLMP393NuG6cha782K1/9q0bZMdzPUT8SSxOPWqNiCAKGCwazHZ9tnVigZGIP0kynsFdkU0aJqJpYsEU6WT2OA954xRU2njhzn1Uz3Ex54wK9r02QMvrWb+iuWeUs/iiQ4mMN3xswr4EsWCS4c4gsVAKlVqkoMqCwayju8mDLGXVfIIAc04vZ+F5Vcf8PoqsEI+kEQQwWI6uHgyMxRBFAYtTP3FfH/TEefDWraQPBvzNjmzBQzKawezQIQgCkUASo0VDPJrGVWbBPxKblHiNqeHPpjj5ajUuQURSIJzKMKCSqcoz0jUemxhrlOE3p0xl5ZmV/HV9N4sq85g/JXt9aBsNc/pv1wEwvdjK2TOLKM8z8vSeIdwWPZ9YWIaAgEoUUIngsuixGQ4/DwfjaS7+40YkWWHN15ajeZ+9/97M83fso2u3h8JKKwgQ9iUmVCPn3jRrQs3zQZIeiaKyahGNGqRgkvRoDO0UK6JWRSI4QkfzbxiNPY6ABkVIUqa5gfKCT6OrthF4opP4fi8qmw7rqeUYZhxSTLxR9KGa7cJ9ce1hat23gxxLE9k8TKo3RGoggpKWUSQZJAW1y0DhzYfFPCeQQilCr/YRfX144j21y4BlRRmxlnFC+32MJyVCJi3jaoF4QsYYSnKSWc3emETXG9cuISsithcYiUfSZJISM5aX0Liq7B2dkz5IEokhBgbuJZ32Iytp8hyL0emKCAS2EQhuIxjcjSjqyGQCh33WZKrFZptLcdFlGAzlBAJbOdDy3YmxKpWJ4uLLsFouxuuVSSaTmM1ment7CQQChMNhgsEgoVAIgMLCQlDtBDkAACAASURBVK644gosFgv3fO91Qp44rplPsvzcb/PoL/ZjKtpNZDCr8vnCn1chSXG2bb+IWKwbRckw1nQp461nAKAxBcgvqkCjU2HNN7D88qkT81YUhXv++3VUapGLbp5LYDRKfqkF7cEE684XelEUhZGuEEsvqSGhvMS+HQ/Q+tRnDtsGZoeOT/7wJDRv8XyUpDiCoEYUJ59nQqG9bNt+IQA22zzUagvB4E4kKYqiSAiCBkVJT4zXaPJYsvhV1Ors80k83k97x8/R6QqYWncL+5tvxudbx8nLtr5vSVBZltm7dy8vv/wyRqORK664ApPJNCnxNDY2xp133kk6naaoqIilS5cybdq0SaqrWCzGHXfcQTKZZNWqVZSWllJUVERXVxcPPvhgtt1rKntPf9ppp1FVVUVnZycdHR0Tiq+WgnLW1s8FssfcMoeZ9f4I57vt3DF9CgCBQIAbHvo3jnCAhXlW0uk0dXV1zJ49eyLR9n7SEUtw9o42YpLMaqeVerWX345oMSshrAQZF9w0aseoVgc53djPHNd07PYF6HRuBOGj5x/5USWX1MqRI0eOHO8LUjDIwJe+TGzLFpyf/Szur30VKRAg0dqGtqwUTfHkwFuitY1kywFMS5fSvuxk8r90E64bb/yQZp8jR46PIoloeiKInYik6dg5RjKWpn5x0Qm35RuP+vnSs19jwDPMlHg9DeNLMPkOBVmyKoKZxCNpIuMJimrsePrCFNfZj+nZ0rFjjLX3tWCwaDnpgiqaXuknHk6z8NxKaua7ARjtCRELpsgvNTPaE+LAxiH6D2QNxMunO5lxSjFlDXnH9Bj69//sIjAW46ofLz6i2ukNUokM/pEY+WXmd+U1E4+keOI3uwh64pTU2Vl0ftVRTcRlSaZ9+xjbn+0hMBrD5jKQV2widdBbQlQJLL20lvzS7EN5dOco/sc6ICMjmjUUfGUuKrOWrl0e1vx9/0SSw1li4rLvLpyoeJcyMn//5gYaS024QkmCCJjz9NlAazBJqi8MgO3sSiynlE7M7dFf7iAwFmfa4iI8/WGGOwLMWFHKKR9/e63Ghtr9PPHb3Siywqqrp6HICuvvbcFtUjMUzWAxaTg5X4cmmEQ0a3B9rhHNCbRTVBSFF+7cR+dOD65yC2d+bsYxVRaJaJrtz/Ww55UB9CY1V9+6BLX2w3sQfsOkPTAamwisG61azA49pVMdqDQiqUQGRc6qD974Dp7eMHklJkKeOCa7jnRSYqDFT8UMJ/aCQ9st5I0z2OZHyihsfaqLeDiN3qwhv9TMSRdWEw+nqJjhnFwx7I2z77VBQgfVkWa7jqAnxpRZ+Tz1uyZiwRR6kxq9RYtKLeIfiiLLCjqjmnRSQqtXYbBocZaY8Y/EqJyVTzopIQiQSct4+8PEwmkqpjs56cIqwr4Ee9YOMO+MikmB/yORTklseLid5vVDuCsszFheQv3iIhQlq1oMeePIkkLpVMekBGcmLdGzxwfAlEbnMc8Xb+DpC/PQT7dNek+tFfn4fy/E7s5u42gwyUCLH99AhF1r+ibGafQqbE49ciTNeDCFvcCIIAoTajSNTsXC8yqZMvPw9j5KWkJOSiRa/fgfbsO8tJhwjYONj3QQD6ew5hsomWpn2pJibC4D3n/sJz0UIe+T9YgGNWq3kZFfbAMl61ujKTRR8OW5k9eRkclkZHa/3M+O53sRRYGLvj4XV9nba1EXWttP6Pkein+wGFF/dNVIz14vz/xhDwAldXbO/8qct63GmTR/RWHzE13sWTswkXCdubyEOWdUHDMQ3rvPx5q79pOMZ0ABvUmNIArULihgxiklWe+YB9vob/Fzzc+WYLLpGOkK0rxxiGQsg6gSiIdThLwJIv4EysG4vNaoYsbJpSy+qBpFUcikZTRaFYHRGA/8eAtyJnt8aPVqBJWAyabFOxDhnBsbcZVlA8Jv7KN5xSZMNi2vPdBG334f59zYSFGNPdvaLZrGOxzlX3uH+MPWHgDWfn0FU/Kz6slEJM0Tuwf472cPUOM2c+tFM+kbj/JfD+5BAPR6Nf5ENhF37ZJKVjcU8K1H9zAcjPPZU6rY1OljV182qJ5v1uGLJg9TyZm0Kgqsek6pc/H98xoQBAFJVrjqb1vY1jPO3z+1kGW1R25b9X4QDSb5x7c2MvfMChZfmC2+UBQFKS3z0M+2ExlPUDvfjcmuyyaGq6zkFZuRMjIqtYgiK/hHY6g14jtu4ftW3lBhKIpMMLiTSLQNgHTKRzoTYmjoQWQ5SUnx5Uyp/CItB27B63uBsrLrqKn+FqKYPZYUWcE/EsOcp0OrV5NKZOjc6UF4sYdMJM0+u57TPjXtHbWWVDIyI7dtRwomUbuNaEstCCoBQasCWcG/swnLJ9yk/WF0hiLyZs8GINHuJ/L6MIkWH8iQtGkp/GwjWklBnW/AOxDhxb/tJ+iNUTE9Hykjk1dkorjWjqzI9N/TQntcQm3WsOj8KiKBJFJKZu/aAYw2Led+cdYJqYHfS97wqJKVDKKgJpEYRlHSmM31qFQm3pCQqlRGBEFFJhOmpeW/GfM8B4Ao6pHlJIryRtJZxGKehtkyi3RqDJttFjb7guwYOU0yOUpb+w+R5RSCoJ74XCplIxqZT17eNIzGhbS1ddLV1TVpriqVCrvdjsViwWKxUFNTg16v51//+heCINDQ0MCs+gVsfaSHwIiEyRkkERFZeOU6FN9NWPL01C3MqnMjkVa2bb8QQdDga5/PyPYrs7NXp5EzhxJKNpcBUS3SuLKUwiorD/5kGyuvrMfk0FFSZ0etUREIbEeWU+TlLZn4nMfzInv23kigawkj2z/FhV+dg9agJp2SyKQk7G4j1vy3p4r1+dYRDu+ju+eP6PUl2G1zKSy8EFlO0Nf/d8rLrsVmm0c43MzOXZdjscygsPBCMpkIvb1/QpZTgEJJyZUMDt6Ly3UmjTP/8LbmcCKEQiEefPBBkskkXq+XwsJCfD4fZrOZWCzGJZdcQl1dHZIkcddddzE+Ps6VV15JcXHxpHuglCzTGk0wlspQl4ryj7/+daLV4LRp02htbcXsclN+1nnEutqRersnkliQTXb6/X6mTZvGM4VVrE3Br6aWcSCa4O5BL/6MxK+mlnJV8aFz9shItkCkoKDgQ1E8jibT/Ll/jIdG/PjSGZwaFb60hIDCHdPcnFeY82R+t+SSWjly5MiR4z1HCgbpu+56km1tqN1u0oODqPLzkbxeALRTplD19FMI6uyDTnzPHnqvvgYlkUDldCL5fBR857/Iu/rqD/Nr5MiR4z1AURRioRRGq/ZdPVDsWzfIa/e3UjvfjSAKdO70IGWyUTi9SYOj0IjOpOHUa6YdtS3R1uYmNvyxH13mULDHUWRi6qIC6hYW4ukN88Kd+5Df1DpMZ1KTjGawuQxUz3Uz69QyjNZDlezxSIrX7m+lc6cHd4WF0z89A5vrxB5spYxM84YhpIzMzOWlqDTHTz517/Hy7B/3UD3Xxerrpx+WsGreOMTul/rxj0RBgYZlxdTO/3/snXdgXNWd/T/vTe8zGvVeLFmSJUvuxoViuiGEkhBwAumNJLApZDdlU5fsJptfdhPIkiUhpEBIwGB6MQYDxr1Ktopl9S5N7+2V3x9jyyg2YFqWzer8p5l3R6/c9+5993zPOfmUzHed9vwHp+KkkxJ55bZTvk/GMjz6nwcJTMa5/AsLz9jWTlFUAhMxXEWW11zsDT07SGTrCIZqB7Z15XjvPox1bSnO4wo0z0iE7Rt7cRdbaN86ysorq1EVlXgozfRwhKmBMFdU2xD8STR2fbZUEwFBL6J1m1ASEnmfbkZ4VeV32JfgqTsPE5iIkVduo2iek6WXVswQLG8GvfunkdIy9WcVIaVlHv3PQ0z2hzj7ujr6D3mY6A4wP0dP44cbKPiryvpUQuLIS6NULszFZNXP9KeePZM899tO3KVWIt4EkqRQu7SAlnVl5JVnF/r6D3ro2jmBfyJG2JvIXuPVRSy+pPKM+907hRMVzANtHka6/HhHooiigAqn2O8ZzFoceSaC0wkyKZmSOueMFeBrEdLB6ThTA2G8IxHGeoJ4RiIzlm75FTZqluQT8iTo2T05Q4Da3MbjORQq6aRMxJdEEMDiNMyoHQC0Bg1SSkZn1CBnlNnKqHwTIU/23CJAUY2Diz/VhMV5cj8zaZkjL47Rs3cSV6GFCz/eSM/eKV68rxsprSAIkFNi5aqvLHrD/iUdt/F8t9G5fZyIP0n9yqLjpITmNYnxIy+NMno0QMOqYoaO+Ah54iRjEvUrC7OEyVsgcYKP9xHdPv6a9n6qrDD+/V2YF+fjuvKkOimw6Rix3ZOIZi1KQqL4uydJp+jOcYJP9mOc5yL3YwsIexM8/NMDiBqBSz/bPHPfnAn8DxwleSxI8bde265JVVUe/Nd9ZFIyH/jHJWj1mrelLnk10gmJo7sn8Y5FWfPB2lMq/l+NfU8PsvuxftzFVs7/aD0bf7yfhetKWXXVvFnX5oQ1ZOsFZagqtL0wgsGkRavPZrtpdCKiRiAVO6maEkRmxo6hDh/RQIqiGgfphEzYm2DlldX4xmMEJmJM9GYVg2di/agqKr54mq892MahkSDxlExazt631XkWLmgo4JvrG05p1zsdwW0x4LJkn5NPvTLMrx7vJpNRqEOLXGfjicHs+0WeUccttcVcf10jGo3IeDDBsDdOrcXAuCQxFsrm8MgKSIrCU4cnGPTGOToV4X0txfzw/Qt4YN8IP3qqm59cs5Brl50+g+evEQ9n1Xf7nh7EYNRSWOOguNY5a67w6vOgqupp773unRM8//surv3mslP6biyYYsvvOvGNx2bZWxrM2hn70RMwmLR88JtLkdIKznzz684tTqz7nchWHD8W5NDzPcQT3RS17ELSvILFMo9UeppUavKU9nl5FzGv5uuYzVXEQinu/8FOipduxFDwNHK0FU3on2g8q5at93YTmMwq/fIr7UQDSaKBBPVLHiVPstEdLSQRF2lYVUFxZTMGg/u0968sJRnd8yBSMI4QNqAaZTL5EyQ6PRQvuhJrfTnJ1ASCqmO0vYho8F4SjrtPHq+kozjvOnLj55N+HFSjhjEF+sJpgsmswtfmzipeUzEJrV6kujWPnj1TuEssBKcTyJnZquILPt7A/BUn8xrD3gQGs/YtzS3OFJFIF91Hv5W1AtRY0GjMKHKSRGKYVHrqDdtbrY3Mq/k6Q8P/TTC4l4L8DUxONaLIFlasWEZ//58QBCdeXy4D/ROMjY3hdrspKipi3rx5NDQ0oNfrmZiYoLPrFfbt3UFj4zQILvr7IRrJRZbFGas6h8PB4sWLmT9/PgaDAb/fT1FREWbzqeSrz+dj7969HDx4EEEQ+MClN/Lsndm8o4q1D3PJh/51xjLu1fB4nkOSonTseZ6jT1+N1uRHSuRgzdFirXgMZDdp7zq0eg3Tg+GZe+eKW1p57OeHaFhVxOIrYmx75gcgFbD+ul+h0WoIR46wf/91mM0V9L68iPDgWXzuF+vf0jh4Oqiq8rq5V36/n2nPfYRCz8zkPuXlXcy8mls51PYJEolsEUpd7XcoK/voW96PeDyO0Wg8xfJv8+bN7Nixg7y8PNauXUtNQyPfOdRNcMdLlAU8OJ1Ompqa8Pv9dHZ2cs0119DcfNLuczSZ5nlfmH/rnyAgZUmsGpOBzzkN1AsSzx4bYPe0n2BRKYMmGxkVTKLAT+pKaQxMocgylZWV2Gw2ZFlGFEUuO3AMoyjy8KLsXCGlKIwk01SZDGjeA3adf420orDVH6HKZEAAbFoNhYb3Zj7e/zbMkVpzmMMc5jAHVFUl1d0NgoBosSBaLGisVgT9mwswh9mEVskvfo5l5Up8v7mbzMQEhppqVEnG8x//gfNDHyL3CzehJpMMXnc9osVC/le+zNiXvwJA0W234bzm6nf6UOcwhzn8DZFOSjz5y3bGjwVx5Ju44pbWN53vkYxl2PPEAB0vj6HIKlq9iCgKzF9RSOPaEgQB9jwxQCyYwjMSIbfEyhW3tM4sJsgZhZ6jI2zt3sb03gzOWAFNlxVQVViGM99MTrFlFpkzPRRm7GgQm9vI9GCYg88NY7ToyC2zMnY0gEYn0nROKWa7nsbVRWy5p5PhLj/LL69i0YXlr6ueeqdwaMsw2zf2UtaYw3kfqceWY0RVVTpeHuOlP/eQX26jojkX32iU/kMeIGtjZbTqETUCOr2GqpZc9j45yOEXR4Fs9WrdikKqWnKR0goWp55n7zqCdyzKZZ9fSPk7YHmkqirRQIrEES97N/bi14pYiy1YXEbqRBVdfwj3RxrQOA0zoe6yrHDXzS/NkA4GixaLw0DrqiJsW4awX1yJ/bwzW3g8sQ8nrLneSaSTEoGJOAVVdlRVZaTTz4v3HSWdlLjspoXklFhnctD2PZVdkIbsguTFn25i/FiQ9q2juArNXH3rEqL+ZDZcftckUkpmxRVVFNc6eeQ/DmF1GsivtOEusVK5MPdNK1JOIDgdp/+Qh+nBMI2rsypBVVGP32fZBXVVVZElZZYaSJEVDr80xt4nBmYUH4XV2UVcRVZQVWi9oByDWUsiksZ7vB+GvQl0Bi05RWb6DnoITSdAAFeBmbxyGzWL8/GNRQl5EqRiGQaP+EAFUStQWOWgZL6LqoXZvDZ3ycn7dv8zg+x6pJ/q1jwEUUCRFQRBmGlX0ezGmW8mEUnjG4/hG4sS8SWx55pYcHa2ktgzHME3FiWdkOh8ZRx3iZWW88sY6fKz7+lB5q8oZN0NDYQ8CTpfGaPjlWyou8mmIxHJUFrvYrQ7QHGtk+WXV9G9a2LGQq6swUXTOaVUNrv/Js+H9ypUWcV7zxFSAyHc19fPsiGDbKaP51ft5Hy4AfOrVF9yOEWyO4DGZcB79xEcl1cjR9KkB0IzqkyA/C+0oi+zMbCplxe2jIBBww0/WnWc5DyJwGSMyf4wnqEwo0cDxAIplizOo2A4hL7YSt4nZ2fvpOIZdj82QGAyRiYlMzUQ5pwN82k6+3+mwnpqIMzGH++jdmk+593YgE6v4bGfHyQwFefCjy/AVWieZSH47G+O0LvvZK5Pw+oiHvrJfnKKsipak01PVUsu1a15bL23m4ne0HF7TbDlmLDnGkhEM2RSMkXVDmxuE858E6ZcI/s6PcT6IiQn4mQSxzMFAb1TT7TFwb5QFH8sjSSraESB8VCCZEbm6sWl2I06rAYN5W4L71tY9KaKXjIpmYm+IAc3DzPaHcB1YTEHpsMUt0UwILDg7BLO3TCfWDDFk//Vjmc4gqvQTEGlHVexhbplBTMWuqqq8sutvfznlmO4LHriKYmV1W5+feMSurZPMD0YJhJIIYoCiy4qx11iJRZMIaUVZFkhk5R5/g9dJMJpBAFErYicURBFgYXnl1HekIPNbcTiMrBzUx+dr4wDKq5CCwazDrNdRyaloNOLRPxZhebHfrwaQRDwT8Q4umuSib4gOUUWqlvziAZS+CditD0/gs6oIZOUETUCjnwzyWiaRCQz61yZbDoWrC0hk5IJTcfRmdKM9/rIKY1StdxD/+5S0pEcStb8GO+AA0WNY3ANozOFUBUNxFdhLRzBbK6iIP8ynM6lgIBvWMu2B45htJgonuegqNbJ4a2jDLRlCcac2u3ktfyRVLiIwee+jcVuYullVUT8ScaOBkCIMO+8Hfgivz3l+kopK7HxZuY1XkfT8vVEeo8R7jiKIOkZdPwbKd3I7AaqkO15wmyyKR3NQ2/1oI6fT1XpZciqwM6nI8QTdvIWPE5pZAkH+mrRmTSkEzIarYAsZ/O4Ttirnph7VDa7WX/TQhRJZWowTDopkYpL2N1Giua9+1Zms44r7WPX7ksQBR02ezOyHEOWYogaI0ZDEU7nMrRaO4qaQad1oNGYiMZ6UOQkCAKyFGNg8Pbjv6YhGnk/bW02FEWZITdPQBAEiouLKS8v5+DBg0iShCRlSVSn00kwmFVDGo1GkskkJpOJpqYmli5diiiKM5+73e5TyJI3gsfj4c4776S6uoaWqgUEYr9l0Vmfw2ZrfN12hw/9mG13tZLfsompg9ey4FwROf+TAKw77xggcGzvFNs39mLPNdF0TjFb7ulCZwRnzfN4Os4HoO4sMyuustDe/lkQRETPrzj4zDR5VSLX/uO5b+pY3ira29t57LHHMJlMfOlLX0KSss8PszlbACbLKdLpKTyeLRQVfRCd7uR8MBgM8thjj3HRRRdRWPjaRQeqqvKp9j56u7v5VnkuF521EoBkMsnjW19ke9dRpNoGXskpISTJJBUFFcjRiPzKreOlhzeiqioajYYFzc1MtK7g3Bw7kqryy+FpHpsOogCtNjOfK8tDFAR+OjBJTzw5sw8CUGs2cL7bztkuG/82MEFbJMG3q4v4YsXsIhhJUZm3rZ2PluTy/Xl/Z0onRckOvnM4Y8yRWnOYwxzm8H8cqiQx+YMfEnzggdlfCAKuDRvIv/VrCDodcjiMxm5H0Jy+clSORPDfcw+RrS+S7u2l5Bc/x3beeaf+P1Vl/KtfJfzMs2gcDkSTCSUWo+LP92OoqmLwQ9eRaGubI7XmMIe/A+x9coA9jw+w5NIKDm8dxWjV0XJ+GXXLC0nFJV68r5tYMEVuqRWry4jFacDqMpBTbGGsJ4hGK7JzU++MQmDepXaenXiaYnMx4/ExxmPjFFuKac1v5VjgGCNHAthfbCSv3Ma6Gxs4+PwQHZ39aPzZSlAVlaar3Jx7cesZ7b8iK/QemKayORe9UUtgMsbeJwc5tm8KVLDnGgl7kyx/XxXLLvvbZVwBdL4yzra/9IAAyy6vIhnNcHDzMGWNOaz/XDNavYZENM3OTX10bZ84pb2oEVBkleZzS8kts9KzZ5KxnuBM9TdkM4Mu+VwzVQvfmv3S6NEAh7YMI6VlFCmb2RKcOpmNUt6Yg5RRmOwP0bCsgNrBIGpSRtCJ5H58AYJRi+euw6TsevZGJdZ/sWXGjivyyhihJ/rJv2Ux+qK/rb3PmSLsTbDpZweI+lOYHXo+/P3sQsEDt+1FlhTmryjkwOZhVEVFEKC4zsl5H2mYpbhKxTO8/JceenZPodWJWHOMXPOPSzC+iQpwRcmSbEOHvdQsyWfsaID+Qx58YzHgZKW/xaFHBRLhNI58M+4SK8lYmumhCNUtefjGo0QDKZLR7KJpab2L2qUFzFuafwpx8EZQVRX/RIyBQx6mBiMMd/pQpGznszgNCALMX1lI3bJC7HnG17XYU1WVRCRzWlXEO4FtD/RweOsohdUOJvpCCAJUt+axcF0phdUO7vvuLsLeJIsuLGflldUzxFXn9nGGO/xMDYSIBlJYXQZaLyhn4brS/xEbnPcClHgG7+86SI9EcH+4YYbYUhUV/5+7SRzxUvztlafNm1PSMuPf2wEKIApwXA3o/vgC/Pd3o6ZlDFUOUv0h/BmFbVGZ5ZdWsOz9NTO/0bFtjJfv70FRsgUSbr2IlJDxySqVVi0XfmUx+mIrqqrSu3+awy+O4h2JImUU8itsaPUiFoeBcz9S/7pKqjNBx7Yx9j09SM3ifNZ8oHbWd+lk1lLwRLaLqqp4R6MMd/jo3jlJMpbhhn85a+a+e7UlojXHwOVfbMHqMhL2JMgpsXB46yi5ZVYivhQ7H+lDzihs+N6KGZVkKJGhayKMN5jkuw+0c0VcT6GgRZEVFEnFXGqmrNzO0R2TJwSMJ68LKgNaBb8mSygICMxPa5AElZdqtFTkWtCIAilJwazXcPP5tdQXvn5m2WtBVdXjtqDZ446HUjz/hy6GO/yIGoGKJjcmu56u7eOUNeQw0hVAEGHZ+ko6Xhknk5SzqiYBSupcFNU48I5GceSaMDQ6+PZz3Yx6Y9y+opZAd5DJ/jAmmw5bjpFIIEXieHbjX0Nv0lJUJ1LZlE/DWfPwjkTp2DZG147s2CsI2TFXllQsDj2x8EmlFQJY7HokSSGTkFl5VQ21SwvY+0Q/XTsmEAQBd6kV70hkxj5REAUKq+1c8pkmevZMUVzrJL8iW1Cx8+E+Dm4ZxuYysOzyKvoPemYKBHRGFVmJY3INEvfUZUkrss8rQZNClU+qUU12lXlLnRx+IcSaa2tpWXeyeCQWSnHvP+/EbNejN2nxjkZnjmfVNfNoWVeKIApMTT9BR8c/YJG/Q065n9y8FbhcZ5FOT7P/wPUkEkPk5JxNaeQmIu19SJEYcTGOr+5BsE6AqkMrm5D0J3OcBFlPnudrWBYuwVmkonpTJB5Ko5abeWnsSVRZh1bMR1InKV76FMMvfZ64d/bCtwYVmdnP4KIaB+s+aSYcOYDZuBR3fh2CIBDxJ0lGM7hLLGdUlKCqKn7/y5hMFZjNlW+4/VtB99HvMD7+Z5Yvexyrdf4bNzgNjh69h47OfRw57MRodNDS0sLy5cvJZDK0t7eTm5uL0+mkoKAAkyk7J0mlUmg0Gnp7e5mammJ6ehqbzUZ5eTnFxcUkk0lyc3PRat/cfOD1sHfvXp588kmWL1/O+vXrATh27BiqqlJQUIDZbEanmz1eTE49Ttv+f8aZW0H7g9dic+tIS4MYHGNcfMMNx4nZbNGboqhsf3g/HS+dzJSsWaplemonielF1Fx+KwaTkRLXr3n6Di8Wu56zr5tP9aK8d+wYTwdFUdi8eTO7du2ioKCAqakpzj//fNauXTtru/HxcTo6O9mqs3JfRotdzlCmStRoBcpG+4kP9jN//nzWrVvHvvFJOrRm1pUXs9RhISLJjIUjbDo2yM+PT83XhKa5c/Uitu/bx0NjHl6saCRz/HqudFhosZsxiyIBSeZ3Y1kC+8GWGtbmZMm0XcEoVx7sndk/q0bkhmI3HyjMod5inFFRSYrKI9MBPGmJFpuZhTYTVu3JMVVWVW5o7+dAOM4DrTX0xVPsCkapsxhpjyT4y6SfOxrK+UDhmTlIvG1EpuDRL8DZX4Pyle/87ysKdD0GL/wLfOQhcFW88//j7xRzpNYcWTogRgAAIABJREFU5jCHOfwfhu+39xD405/IjI7iuvEGzEuXosTiKLEYye4uQhsfQtDpUCUJVBV9TQ32y9Zjv/BCVElC43SicTrx3H4HsW3bSB07hmizUfyTH5+W0Ho1Un19TN12G4mOTsru/C/Mi7MZCenRMSa++U2KfvQj9KV/Z9U3c5jD/wF4RiIcem6YqYEwIU+CqpZc1n9+IePHgmzfeIzpoQganYjJqiOdlCma58A/HiMeSs/YCb4aBVV2zv3wfHJLbXxn+3fY1Ltp5juHwUEoFZq1/UXqNdTsOQdByFbYpjRx0itHuHzlBdSVVs0sEr4dxEIpevdNs/2hXgwmLR/+wcrXtDx8NxH2Jtj2wDEG27MvlrVL87nwEwtOsUTxjUUZaPPQuKYEUSMQmIxzcPMQ85bkU7vspM/8iQpqvUlLLJgiv9JOQeVbW3wMeRI88KO96PQi9jwTGq2IRieSb9KSPuyh7P01VJybXSQ7oSRYf30dzmSGVIcPOZhGX2Yl1Ze9vrkfX4Bxfg6qrBA/5CH09ADaPBN5n1n4niYIIv4k+54coHP7BM4C80xO0kWfWkDt0gLGjgYIeRJULsxFVVT2PjlA7bICCqrsM0SOoqi89Kej9O6bwppjJBFJU9WaR2VzLkZz1upKUVRURT2F/OnaMcGeJ/qJ+k9a752w1KtZlE9VSy4mu55je6cYaPMiZ2QKqhz4xqL4xqKk4lklR8SXpLTehTXHiNmux2DW0nR2yTumeAt7E8RCadwlljdNkL3bSCclHv9FG9PDYZatr2L+ysJZWUe+8SipWIbiWtdp2yuywuBhH23PjzB+LMj7v7yI0vmn3/Z0UBU1K0L4q36eSkgIAmj0GnqmIgx4Y1S6LZTmmLAb37u2NkpaxvPf7WTGouhKrAg6kcx4FDWtYL+4Avt55a/ZNrZ3ElVSMC3MQ4mmSQ2FsSwrRPImiB+YJtHhRfKnyLm2jqd/c4SpjMqaa2tpXFOMdyTKpp8eoLTexcqLysk81osayeD6UB0H2v20vTwGHLemTMugZu1pi2udNK4ues0swTPBiWd1PJQip8iCq8jCgWeHZmzjqhfl4Swwz+QODR3xIQjQdHYJ1hwjR3dNzJDQOcUWzrqqZlaGmaqqPHFHG6JGZHoojJSSsblN+MaizFuaT/E8J23PjxDyJMgrt3H+RxtwFJr5055hnmifYP9QAPk4SWg3agknT9rZNaU0nJPUYVYF2vUSe92wLNdOo9FIqdWArsKK1amnwG5EFAQmw0kmD3nxb53k6luXUFTjOOPzNDUYxj8eQ0rLmO16qhflzfT7eDjN87/vYvSon+Ljypjx3uAMGY4AF3yskYg/ye5H+xG1AgvPK2XB2hKc+eYZ9UnIk6BnzxQ9uycJeRLYc41E/SlUVaWyNY+QN4F/JIogQGWLjUs+sxhR1JBOSvQf8pCMZrA4DYjaFPF4F4l0Pyn1edLqQVTFDKk6lIwJUa5ibN9FRAPZIgCNTsRs16PViVQuzKWy2Y1Wr2Xnpl5GuwNoDSLOfDMNq4rY9Ug/sqTQdE4JSy+txGTTE5iMZf+3y4DVaXhdguXAs0PsfXo/izc8glYHpBuZHutC43gFi6WW1pa7UdK5tG8dJezzkVLaCIzYyMSKWfeReuLhNLse7ScVlzBYtJhteq7/7goEQSARTbP9wV569k6x4bsrcBaYSSUkJvtCGK26WXMGVZXZueuCGXs0AI3GiixHEQQtzU2343avQxS1qKpKbM8kwU3ZBfGMIcB0/b2IOisaXQO6vCo01nH2bjISnchajolagbqlBZz3kXpe+lM3PfumWX55NVODYZLRNL6xKMnj1pqiRiC3zErclyQdyWAqncCYtxV3iZPmZR9jfPqXeDybj++jmZKSD1Na8hFMptLX7bOKksLv304iOUY67SUY3EMwuAeDoZBlyx7FoM/epxMTDzPteQat1obJWE5+wXqsliyZHY4cIR7rx25fiFZrRZaT6HROtNps/mgiMYLX+zxe34skEkMkEsOUlt7A/Lrvve6+vRa6u7vZuHEjGo2G8847jxUrVryn51GbNm2iq6uLW265hZdffpndu3ejP+4m09TUxBVXXDFr+1Rqile2r6Jpwc/Z9uchPMeqUKTsmL3uH56nof62Wds/+O9b8Axm0Fl8LLlkHovXreSZjV+gb8s1AJxzQw5HtqZJRjNs+N6Kv8kcZd++fTzxxBMsW7aMSy65hHvvvZdAIMAtt9yCIAjE43FGR0f58wMP8lDTSqYcbipiISwCjGkNhPRGDJk0N070oAwNsK+ynsMlNSiiCKrKEjnJQY0R5fh1d8YiWFMJpuwuqrwTDOQWk9FqaTRquaWmhHy9jhUOC+Lx7WVV5Rs9o/xh3MdXKwu4tSprv/n1oyP8YdxHq83MZXkObix249C9tfN1JBLn8gPHSB4fm4yiQFJR0QrwocIcbqstxfhuqd+TYZg4BBo9iFp49pswshvyF8CntoD+bWYWqmq22iEVhbb7YfevwNcLBU1w9V1QsOCdOY7/A5gjteYwhznM4f8I4gcPkmxvRzCZMNTWggpDGzZgamnB/elPYT3//FMmtPF9+4g8twXRYkYwmvDdfTdKKJQdhP9qnNDX1JD7uc9iv+wyhDnZ9Bzm8L8KJ4LA3y7i4TR/uW0PckahpM5FQZWdxjXFswgfz3CEzlfGGWjzzKp2VFWVVFxisj/E0V2TzFuajyAIlDY52HhsI5X2Sv7hxX9gdfFqPt/6eUqtpZh1ZoLJIO3edhRVIZwO88/b/5mz05dTe/BsXqncyI1XXcnl8y5728d2OqQT0gxZ8z+J8d4g3pEI9WcV/Y8TAqqSVRRsvbebsDfBtd9cNis8e/q/DqEkZQq+vHimzw0d8fHEHW0AOAvMXHLDfNKbepF9SYwL3KR6AliWFWJeVkjgwaNkxmMIRg15n2pG/zqh8umExEC7l9EuP0XznDSsKnrHMhDeLF7601Em+oKUN7qpXOg+LQGy9b5uOreNA9lh1uwwoDdq0Ju0CAJMD0XQ6jWU1bsY7vSTSWXtvkrqnPjGY6RiGZwFZnJLrcw/q4hMUubZXx+hsNpOy/nluEssdO+apHF18Rnnb52wa5TS8ruaD/JehywpJGOZ18z/OhNIGZnff2MHhdUOLrtp4SnfP/vHTnYd81HXmscVl9UgCiJ9UxFeuP8om/0hIiaROAopWcGBiCYuExMholVnFn0AnGYdj35hNRXu96aCEUBJScT3TxM7MIUgCOhKrRiqHZiacmeNRdFAEt94jPLGnDMeo1RJQdCKTP/lKFtfmcCbUTDZdAiigEaA8wpNCFNxBKOW3I8twFBhR84o/OW2PSTjEnXLC9DpNVgcehpWF78jxO3jtx9iojdEfqWd4GSMWCiNIApcc+sSXvhjF/7xGKIoIIgCBrOW+SsKScUzdB5X2RZU2alfWUjNknxM1tdXJEb8SZ64ow3/eIzapfn0H/IiSwq5ZVaWrq9kxAz37hri4HAQXyxNQ5GddfV5LK9yoxMF6ovsbO/1EklKFDmNFDtMHBoM0D0WYlVDPhc05L/htUgnJe659RXqzyrinA1npiSZ7A/x0L/vn6UWbr2gjJI6F6l4hh2b+kjFJErrXUT8SVRFJbfMRkGlnVg4Rc/uSWLBrJLK5jYS8SVpWF3Emg/UkkpIs4hoyD7bVDWrSPZNDtO+dYhjuzNIKZWKsx9Cn/s8giij0zlwuZbjcq4gGDqAgEAq7SEY3AsooGpJhYoJ9K3FXtyH1uRFNMTRmsYJ9q9hYetPsDj05JbaZopq/P7thCNHsJirEEULE31hpia3kBF2EfeWQ/RcFl5kQhGHUZQ0ue7zMBqLMZtrEMXXH+MzmTCH22/F69mORqdis9cSjw+g1ViYP//75OSsQaM5+fz3jUUZ7Q6w/aFeFl1YxllXZQkj33iUl+/vYfxYViWVX2HLWsMeJ2IXnF2MKIoYzFoKquwUVNlP2zcHul5hxxObMTlD6MVWkiEzcsaK2epg6cVNxEJp4uE0JXVOcgrMTPxoN0pSRrOhnk13tL+6O6DRiuhNGq64pZVoIMWxvVP07JnCmmMgFkhRf1YR627M5rL98ds7CHuTVC7MpWFVEQVVdiwOA1JGJjAZx1VoZnLqz/T1/wxJyh5jRflnyM9fz9DwXXg8z6KqKkVF19BQ/6NTMo9UVWV09PcMDv2KdNpz/FMRs7mC/LxLGB65B5OpjPz89aCqDAzegdFYhKoqx7PJVFyuVeh0TqannzrlvGm1NqzWBkTRgN//Cics5+LxAQDOXrsPne7MiyNOYNeuXTzzzDOUlJRw/fXXY7VaT7udqqqEJRmdKGIShde957uiCYoMOpxvkbx4I4yNjfHrX/8ag8FAKpWivr6e7u5stpQoitx88804nbMtIE+81+x4+n4OPnrSvq7xuptZs3o7Op1jZrvffPU5TAW7uO6rX0WrzY6bx3r+gxd+VYoUd6MzaMikZC75bBM1i/LflWN8NRRF4Y477sBoNPLpT38aQRA4dOgQjzzyCBdeeCE7d+4kGs0qy8JFZfypbgk3WjR8d2EdFmN2jtIfS7KhvZ/JdAaDIhNC5CqHidW+Ue6KyvQ48ykL+7nUpqe2uJh8/xSvyBp+LWXv4Wtz7VxbmsdZTuvrZlSt3d1FjdnA75qr8aUlztrdyfk5du5cUPmOnIvRZJqX/RGabSYaLCZ+N+6lyWpipfM0/TYyBZ2PQukSsJeAwQY6c3ZC/deIeSEZgukuOHQfqAoImqz1n5SGgZdBSpzcXmuEpmuy22pNUHcxLLgKcqrhwY/B2q9A64fB3w9j+2H8EKgyLPs05B7PCE3HskqssQMw0QZ1F0Hfi5AKQfFiWPl5WHA1aN5bhV3vdcyRWnOYwxzm8HcMORojcWA/6aFhpm677ZTvRauVeS88j8Z+ZtWnSipFenAIzy9+gXXtGhBEMhPjmBa2YFv3+sqsOcxhDu8NyIrMUHgIi86CTW/joWMPcVf7Xfzmot8wP+fk4lNCSmDSvrn8q2fuOsJgu5cP/NNScktP/6L8ZjAZm+RrL32NNk+W8NAIGu6/7H4a3KeGyZ/AlqEt3PryrZhFCz9Y833Orzj/be/Hew2JaJqJ3hBlDTnoDG/PAuvNYqIvhG8sSnVr3iy7t/HeIB0vjzHS5ScRySCKAhd/ponq1pMWLRlPnKn/tx/H+ipsZ5+sflZVFe9IlOBUnG0P9ADwvk8uQNg9gf3CCsKbh0h2+0EjIJq0uK6cR9RuYPxYEJ1Rg2coQk6xBXeJhZxiK1q9yI6NvXRsH0eR1JnckbOvq6P53FJUVSUwEWd6OEzxPCcanXgKWZFOSIwfCzLc6WfekjwKKh1odNmslDdDYoa9CY68PIazwEzj6uKZz2VZQXO8wlSWFbq2T7DtgR7mLc6nqiUP31iUWDBFOimRScrHF6VttF5QjtWVXZibGshmAh3dOUleuY2cYgu+sSiTA+GZfJeCKjvv//Ki17Xv+3uGJCsE4hnybG+djHorePTQGA8dGMMTSZGWZNwWAzkWPfaITFl7BBGBmsX5nLthPikN/HJTJ386NEr0eNcSAYtBSyQlIapgRKBIETHKoFUhrAPFosUpiGiCGQozAuVOE5kcHfdP+9HoNaypzWVxuYuMonBoOMjtGxZheJW9T0qSaR8NUVdgw2F6e4Tlls4pHjowyqXNRVzRUvzGDV4DvmiKiVASf1+YJ18eossfJS6o/PSDrbSuLHpTv5Xo8OH9QwfSxVUc6fAx3htibYERF2BeVoi5NQ9d3slq63RSQhCFt20r+NeQ0jK/+eo2mtaWsObarDIjFc+QTsrYcoxIGRlV4bTP8umhMDqDBlfhbILy2FSEzokwE6Ekh4aDdE6EcZl1jAUTpDIKDp2GSo2OwnlOFuRYWFeTx/OjPu7dNUy/N0auVc85dVmC6tLm2ef18OHDOJ1OysrOPKvwdHjmrsNM9Ia44V/O4tCWEaYGw1z86QWn5PPteKiPY/unSCckdEaR5dcVYrGZ6NrqZeBAYGZbZ4GZiz+9gNzXKGRIxjKM9wTR6EVK6pzsf3qIfU8NggAajciNP1p1WotSr+9F2ts/i6pKKBkDUtKB3jZNbe23EUUD4XAbgcAukslRVEWLIIJO56Kk5ENY9Ct59CcxjBYTZ18/f5ZV7+GDP2I6cDelpTeS616Hy7USUdQRDO7jwMEPo6rSKfvicq0lGNyNqmbJOVE0IQgCspz1BrPbW3G7zyWT9pFOezEYC3E6lqLTuVBRSKc8DA79F/H4IEpkFaP7V3DlTTfgyDcBKql4ttChoslN6wXlZNIyv//GdlLH1Uyf+OmaWcRUOinxp+/tmiELIZtrueaDtex9YoBoIIWqHleTkrUUdhSYySQk4pEMoek4IU82O5HjwgRHvhmjRUtwKkEyNjv/y11ipbbCSm25Dds5pfQf9KDRiTgLzIx0+vGNx1iwtngmRzKTkrnrlpcAaFlXxrLLKzGYdaQSEr/5ysu0XlDOyiuqX3fMzmRCDA79F5lMkIb6f50hr5LJcYaG7mJ07I8A5LhW43AuJZkYIZ4YJJMJE4/34nKtorzsE9jszeh1LgQh27/9/h0c6biFTMYPgNk8j2VLN6LV2kinfYyPP8Do2L1IUoSy0o+Sn7+eYGgfoKIRTUxMbiKd9pFMjpCXdzHVVf+A2VyB378dUTTMWOidCVKpFLt378br9dLe3k59fT1XX301er2e8WSayXSGzd4wj04H0IsiuTothyJxYvIJS1Ewa0QsGpFVTiufLcun1Zbtmx3RBOfvPcpleQ7ubnrrNtxpRUFWwfQayptDhw6xZ88e1q5dS319PXfeeWd2/8fHWbJkCZdddvritenxbh78wfjM37VX3kxj8zcpLdkAZDMW//S93ZSueJT3f/znM9tFIp3s3n0F8YGvMrJ/PhXNbi676W/jDNDZ2ckDDzzABz/4QRYsyCp2UqkUP/vZz0ilUjgcDlasWIHL5eJB0cJ/T/jpXN10iiLKk87wo/4JQhmZz5fns8yRHUdiqRS/2HOIjzbNp9jlnLX9xw4c5Ss1JZyfd2aE6ec6BtkbivH75ipu65/g5UCE55fNp97y5t4f3xakFNyzHsZOwxU0vh/KV4EgQtwLE+1ZBVbkVbbs9hIwu7PElpItFqNyNcy/FBAgE4fChVlLwIFt0LEpS57FvSd/QxBBZ4H08ZxPbfaZi9YASz4G/oGs0ivmyRJYRgcMboP6y7NkVumy05Nvc3hDzJFac5jDHObwLiI9Osr41/8RVZIQtFr0ZWXkfPIT6IpLyIwMI/n8yH4fka1bMTY04v70p1BCIVRZBlFEY7ORGR1l+BOfxLR0CaiQGR4mPT6G5ayz0FdU4NqwAa3r5MRDSaXw/OfPie/fT7KjA+Ts4Kxxu6l6+GHUTJpUTw/Jri6MjY1vaBM4hznM4X8n0nKagdAAbpMbVVW5/eDtNOU28fTA0+ybOnU+9bHyT7He9AEMVRJt4QP8cNcPuaDiAm5bfRs6jQ7feJTdj/ZjdRnJr7BRt7xgxv5GkRV2PNxH2/MjrLiiiqXr316+lKzIPD34ND/e82PScppvrPgGKSnFooJF1Lnq3rC9N+HFrrej17w7GTv/k1BkhUd+dpCJvhB6k5aG1UU0n1M6o7zxT8QY7wlgtOox2/WoSjbUvOmcrFVcMpYhnZAwWnWggtGqO+UlXc4oJKIZrK6TREA6IdG9a5Kdm3qR0spxwsRBOimRU2Sh76AHg1lLeWMOZY05lDXknEIUxfZNEth4jIKvLpm1mPxqBKfibPrZAVQVLvhYA23Pj5AMplhdYESw6plwGjm6bxr/eGymzQmyCQABTFYdiUiGxjXF2QrtSjuP/eIQkwNhKhbkMDUQJhqYbcdXPM+J3qSlsNqOlFbY99TgLFGyRiviyDcRnIyz7qMNzF/x2qHbJxAPp9n4431E/ElQYfElFRRU2vGPR9n/zNBMFlrfgWnC3uTxjJRmLM63R8DIksLBzUOMdge46FNN71rW1HsdMUnmgnt2MdEX5CsX1vGldfNed0EqlMjwzJEJ9gwEcJh0nFXjpirXTCiRYWu3h5vOq8GsP30FbSIt0z4apG00yK5+Py90T1PhNlPptmAxaPBG03gjKfq9MVagpyksIGgE/BaRQw6V/lCCUo2W721oYeiwjy27R4kZBDSSSsKm5b6vriHHrCfkTRANpCisPmlPmYxm6G/z0Pb8CP7xGNOigmeRncOBKCP+k5XGv//EckYDcaJJictbivn1y/38bscgbouen1+3iGAiTc9khFAiw+fOraHQbjyjBTxJVjjn319kLJhAEOBb6xv4yMoKjG+SSFVkhfW3baX7VeHxFq1IXFJYLBpYf04FK5ryaSrJVtinJYW9g34ODAVoLnVw7vzZFfRKWmb8BzsxVDvJvbGRZH8Q3287cH2wDsuS2cHzbwWqqhKcimOy6WepkVMJiSduP0RgMo5GJxIPZQmBy7/YQkWT+w1/N5FIEAqFKCwsRFFUlOOKA/G4BeUfdw7y3cc6TkSKkWPWUZ+jIRhLopUSFOTYcOUWMhpM0DMVxRs9+axbXO7ko6squaSpcBbBKUkS3d3ddHZ20tnZCcC3vvWtU7Jq/hqxWAxFUbDZTiWaevZM8txvOzHb9cSPZ1Gdf/zZOdEfonfvFL0HpklEMlS15JKUI3RM7EDWHX+2q+Aw5XHR+ZcyPT2N0SXgcNooLCwkJ+f0OSqSFGF8YiOxaA92ewu92+o58qIfjSFMzblP4SzzIQo6RNGAqDGg1+cxOfkIFnMN8+b9IxqtlXRqGkHQkpubfT8KTsXZ8rtOfFMDaHQ65EwGg9GJyeLIWkKqKhu+txJnwewxTVEk2to+iT/wCgCiqMdqbSQW60Wvz2HxovtIp73IchJQ0OtzsVjmkUp7SSSGMOgLMBqLUZQk4fBhotFuevv+HUVJoNU60OvdJBLDp5BjWq2D5uZfomcxf/7hbjQ6kfd9qQVRFNn82w58o1mFh86gQZYUFFmlqiWrZqpqOTUnKBFNc+SlMaS0gpSRaX9hFACTTcf6mxbiLrbiGQ4z0h1g/9NDCMfHYJNdjyPPTH6FjfkrC2l/YZTiOicVC7L3QDop0bN7EpNNT36lnYE2L0d3TTA9FKH53FJWf2DeGakke/dPEw+nsbmNOPJM5BRZGOny89jPD/G+m1sob3zje+61oKoqRzpuIREfJJ4YQpajGAyFmEzlZDIqolCNyXQdsVgcjUaDwWBgenqaiYkJioqKKC4uxmazYLebkGUBjUaPqqpMTk6Sk5OD2+3K5q2Jr32fKUoaUcyO4ZIkoSgKoiiye/duDh8+jMFgwG6343A4SCaTjI+P4/P5KC4upq6ujtzcXJ599lm83uwC/IoVK7j44otREPjVyDQ/6p/IxhQCa1xWjsVTKKrK5XlOSox6ZFUlLivEZQW/JPG0J0RUVig16jjXZeelQISRZBqTKNJ/dvMZkz4JWWFvKMbOYJSdwSgHI3FSispV+U5+Wl+G5TUyvE8gmUyi0Wh4+umnaWtr4+abb8bhONXqVFVV7v76RlKRbD+oXX8nRdWFNDfdDsDhF0d5+c89LLruQVade+esdsd6b8OsvZCDjxs4Z8P8Wa4DrwVVVRkaGiKdTqMoCgUFBbhcr00QnbieJ9p2dXXxwgsvIMsyX/rSlxBFcUZ1Njo6ylNPPcVFF11EZWUlUUnm4n095Om1PLK49jX/x7uJO4am+Jf+LEFkEgVurSripvI3oWaL+7NEkvVVzx5ZgvAYRCahoDGruFJVSEez21vzQXf8WoRGYfd/w45fQOtHYOknIDCQVWFNdcC+u0/+riBCbh0UtWRJKktuVslVd3GWfHozkCUY2g5Hn4Lq87KEWiIIhc1QsgTy6iE8Co9+MUteuaqgZDEs+gjUrMv+hqJklWFzeFuYI7XmMIc5zOFdhOcXt+P91a+wrFqFKkkkOzoQtFqUeBw1dfIlUzAYUFMpdCUlZMbGZj4XbTY0dvvMZ7riYnTl5WicTiLPPANA7he/SN4Xv4CqKAiiiP+++5j64b9gWrIE89KlWFYsJ9U/gKm5CVNLy9/2BMxhDnP4m6Pd087NL9yMQWNgPHayOtGWzCGtSZLRJ/nSoi9h19sJp8MUxavpfMSPHFexpdwoKEzYe0m4gux0P8k/rvg6FZML2f14PxqdSCaRJcrP/fB8FqwtyeZXPNbP0V2TNJ2drUQ/U7umx/oeY/PgZhblLyLfnI/b6EZSJe44eAdd/i4achr4ydk/odJR+W6cqv+VOPjcMDse6mXB2SWkExJ9+6dRVJXyRjdmh56+A9NkkvIp7WYRP6+C1WWgosmNVq9Bo82+PPcf9BD2JSmpc6LIKpmUTNiXIBWTcJdYOfu6Wka6Agwd8aEzaPBPxKhscrP2Q3Wvm1kWfLyP2J5Jir+/6nVtAAOTMTb9vwMkIieruM0OPamYhCwpFFY7qGrNxVVoIexJ0HxeKfFQCt94jIneIP7xGM3nllLWcHLhM+JP8vKfe/CNRckvt1HWmIO7xMro0QDxUJqJviByRiEwma2IL651Ys81svx91XiGIzMWj+mEjHc0yvXfWY6r0IIsKQx3+jHb9ZisulmLHi/df5TObeNc9bXF7H1ygOEO/8nroRWRJQVBFMgrs7Ls8ioqmtzv6VyL9yrSikJ7JEGlyYAnnuLBIxPsO+alczCIlDp5L1zRUsyn11bTXOogFM9w7+4hNu4fZTqcRFJU0rKCqkKezUAokSH9Vxl/lW4zxU4TLrOeUpeJylwLFTlmHm8f54m2CSKp7OJyeY6ZyxcWccsFtbOIA1VVuf7Xu9jV75/1uwYF3p8x8k9fX0lOUbaSemowzObfHCHsTfLBbyydlecUjUZRVZW+vj4SiQSFhYVEo1EkSaY4t4InfnkIvc7IqqtqsFbbGA736pnIAAAgAElEQVQmuPHuPcwvtNE2GpwhagUBmkscDPvjBOPZe00UQCuK5Fj0tJY56fNE+ckHFrKoPLsoNxVO0ueJ0lzioHsyQttIkF39PrZ0TfPz61rZuH+Ubce85NkMbFheTkORnb3PDbHR42desY0fX9vKvPzZKl5FVtj7zBB/3NLLE4Y0LllgGXq+/KWl1Jc5+Oxde9g8kF2QdWu1bPv2Oh5tn+COF3oZC2ZJO5tRy8u3nofLMpvAje6aIPhIL8b6HFBV0qNRir6xHOFtWgqOdPnZ8lAPD/mCoBFYVZXDBy+Zh9Gl5+E/dHJkIEDt/BxaLSb69kyTUVVu/PFqnK9SDO4b8LK7z8Mnz6mbIQCnpqa458+bOOSRKamo5qUJEW/8JGlh10M4DbWWJCuMk1iEDJl4GEVR0Gq1uN1upqamKC0t5eqrr8blcvFsxxSDvhira3JpLs0u+o6MjNDW1kZvby/hcLY9gNGYtehLJpNYrVasVitOp5M1a9ZQWlpKMHiYqakER49OMj09zdTUFEajkc985jPo9SqKkkRRkgwN9dDdcYTJFxvQGFPkLfQS6KzAZLagM2iZHgyj0YlUNrvJWL34M8MMDQ1RUVHB2rVrSaVSJBIJNm/eTDJ5kuQE0Gg03HTTTeTk5NDV1UV+vgm9IUY43M7AwC9Ipz1otQ4kKYRGY8Wdcw6e6VeQlRhytAGdQQAxDUIadKOYTEUsWfLATPZRLJQiFkoRV/w88cgzZEad2JRizrl+PsV1TqYHw+x/ZgidQUNhtYOKZjeFVafPDVNVFUVJ4PNtIxTaTzhyBAGBxsZ/x2g8vaJRkrLXO5PJMDU1hSiKlJdnc+ZkOZUlOI+THKOjbXg8/SSSHgoKyigsqMVoLJmxF/SNR3ni9jbSCQmtQYOqqJz74XoCkzESkQwarUBumY3apWdG8qqqysZ/28f0UIQN31txioJwojeI3qTFXfLWlPqqorL94V7atoxQu6yAiz55aq6MnFE4+NwwvrEoYV+2b8RDqZlCFb1Ji1YnEg+n+dTP1r5p21xFUeju7sbpdFJYWIgoisTjcXp7j7Jnzx7C4RixWAxZPnWeBVniOT8/n+npad5oTdVgMGAymaisrOTKK6887TZjY2M89dRTBAIB4vHs/EQURRRFoaysDEEQCIVCRCIRdDodRUVFuN1uhoeH8Xiytohms5mz3n815YUF7ElkeHgqwL5QjIiscFmeg/fnuzjLaSFPryMhK4gCGF5jsT0iyWyaCrDVH/n/7J13nF11nfffp91+79w7vffMpPeQACEh1EhAujQVZdeyFlx93FUf3ce17KOua1kLsq6IqA9NgUBIwISSBAippE3aJNP7zO39nvr8ccKEAAFEbOt8Xq/7mlduTvmdds8538/38/nwXCxFQJZYWeznvpEozy+dTqvH/g2ZUDVejGc4msnxVDjJhKYT1wzODnp5V1kRX+saJqmbiJbFKiXFpdYI5fETjI4eI1e9hA9f+iEkxfW6Y5iEXiCWzPDjO+6gubmZm266iSeeeIJAIMDy5csnJ3vh8XWMd5kMH/ETqIpSe+4POP/CzQiCyIY7DzB4vJPzPnSAGdO/+sbrewvoeG4dDz+9CxN7/1VWVvLRj370NdNZlsWmTZvYsWMH1113HSUlJaxfv56+vj5Mj5fIytUcEhTCqk5c15nr9/CzWY34ZIk7B8bZk8iyL5UlbRjcPbuJS0rfenbhO4nubIHPdw5wcUkR11eG3tiCMt4PD77f/ls23SaY9t9v2/wpXihrs20Bk8O2dR+A5LRVTfk4GCcVo6IC5TNs1dPLiqv2NXDTvaevz7Jg+x1Q1m5nYbmDp8iwPxUsC/T8n369f0OYIrWmMIUpTOGPiO4rrkAKhmj41S8ByB87Ru8NN+KaPYvi970fuawUKRhCqa4isXYtqY2bcC9YgBQKgWmQP3aMzIsvUvoP/0DwuutOK3blOzsZ/ufPYWaz+M5fSXLd48ilpRiJBEpNDQ33/r+p4tgUpvA3BtMyufHxGzkSPcK8wjmsUq8Eh0k+X4DDIRCgtMlDoMiLVjDQ8jqx0SxqQUc3dfTzBigpVKH3uFEjoFkqkmkXBPL1Ezxe/TPiZpTrOj5LKF9BVUtwMm9h0bsaWHZly2njsSyL3/X9jkeOP8JgapC7Lr2LSq+tcHm8+3G+8NwXCDqDxAvx0+ar8FTw6UWf5l1N70IU/nq72N6prLKXkZjI8eC/7aSqNcjln7CbFDLxAh1bh+jcNYapmwRK3ay4qQ3LhFxSRc3rSIpIX0dkknhRXDL5tF3E7j8UYawvialbGPrJon6dj9JaH+HBNLJDQnFJuDwKs8+voaIx8La3afy/DoBhUv6x+W86bWQ4zTP3HGHJmia23HeMdKxAy4IyFq9pekesLc+EfFojPpGlvN4/qUR8JbJJlV99aRv1s0poP6uSbQ+fsO2VAARYekUT+YzOeF+S0e4ks5ZXs/LmdizLIptUycQLaHkDf6mLgcNR2pdWIr/Ddmf/E2FZFjnTwiOJbByN8c3fHSOZKOB0y8QKOpmJLGaZCzFcQMgbWIqIUOyk1KUw2Orl7/JOHtrZT14zqS5yMZywi6HnTStlWrkfRRJwKRKrppczr7aIjGpwfCxFXyRLPKvicyk8sneQgmYSzagMxnKoJ62Z/E6ZVdPLuXJ+NfPrgpT4ztzxG04X2NMXI5ZREUWBmWU+5PECVU1+nn1+E8PDwzQ1Ndkd9qFyhvvDtM2pJ5lMcuLECfbu3cvw8PAZly9JErIkU5VbRmbCwlfsZO75dfzX2ARPHhrF55S590NL2do5QcdQkq9fPZu8ZtAxlKS+2ENzmZcXuyN88O5dpy338rlVfPriNj51/146hpKn/V9VkYuFIR9XOn1c8L7p7OyLccezXTx/4pQ1T6UuEJcsdFHg9lUtfOKiNgQBosMZfnnPQR6IxhiVLWp8Tn79nkX4XDJl9bb6J5XX2HYszI4Xh/h57xhuSyAnWLR4XKwuLqLU4+BrxweYWxvky1fMZH5dkJxmTKrqXia2APyr6ii6tPEtnnVwZM8oh/eOU1PmpbTWT01bkM7hJF/62R66JANVsMPr06+w6XplFcXvkrlybjVHR5L0RLP8+PoZZCPD/Gr3KFtGREwE/LJJqc9BJptF0vPELA95yx57SMjSKEWxEBBFiWHdi4jJ1aXjTGu2t8PtdrNo0SKCwSCyLNPR0cG6deswTZP58+dTU1NDe3s74XCYEydOcPz4cYaHh1EUhZaWFkpKSnA6nRQVFTFzZht9/T9mePgo2UwcQRxAEJKk08WUl5dSKHRgmiLRSBOKUoYo9RGPFVNe0Y3TmePV0PM+JCWHIBnE+xYxuuMjANQsGUP19jM2EcYwUvh8GSS5gosvXomiKChKkHD4GaLRfRj6SkpK6ikqKiOd0Xjot5vweEqpri7g9vwKlys7uT5Nq2Jk+EIqK5eybFk5Pb33kErtRtOKSE28B7VrNvmMZucE6gaamqR2ejHLr5lHcZUPwzC57ys7GCjspeAeB0sAweLiC1Zz7oplZzxPLMtix44dJBIJZs+eTU1NzRueV5qmYRjGJIn4Mrq7u3nggQfImRa6aaIYOgJQXFyMpmk0NjbidDonSYyR0dHJ8w6gpaWF5uZmioqKmDVrFoIgTGasxUezXPu5RacR5G8HhZyOqZsUjCyRSITKykq83j8sv+/Vz0o7Hutm94ZeZp5bRTquEh1Ok02puDwKDrdMfCxLUbmbQIkLXTORFZHZK2tJx/LER7Mko3n7WeiGN1f2v4x8Ps99991HNpudJINcLhcej4do1G5EKCkpoa6uDq/XS3FxMRUVFSiKgs/nwzAMVFXF5XLh8/lIp9Ok02kSiQSxWAxBENA0DVmWqa6uJhKJMDg4yJEjRybJqkAggMvlwuVyUVJSQklJCZs3b8bj8TBt2jT8fj+SJJHL5RivqiMfsolYEShXZKKazoZwknFVY1nQx0qXiDeX5VcFgUcjqcltrXUpXFgcYFVxgEtL3/4znW5aiAIM5FWWbj/CF5qq+FRjBQlNZ9WuYwwX7OfM87wS0xxgWAb3RjXmpDv58uhvmG7GCMS7EQqn7ima7EbRc0TcFfhWfAbn4ltfnxDQVfjBfChpYVfjJ1j/7IusWbOG9evXA/D5z3/+tOtLUw1+erttVVkycx3vuvX9FBUt4Of/9AxK8Ytcctt8Kirefv7uMxs3UJTpZtH+LxKTy2HZx9idqeaFvUf43Oc+h9ttb8PY2Bi7du1ifHyc/v5+LMDr8ZDP59E8PtRzzudJy0FUM1ge8lHrcuCVRH49HEESBBrcDjpSOWb4XCzwe7mqIsjy0JmzZf9icOxJeOH7tv3fnGvtLKvRDls1NeMKiPVCuBP8lRCsh6I62xJwYDvkk+AO2f92ByFywl6Or9xWRdUuhsp5U1lUf6OYIrWmMIUpTOEdgqXrqP0DqN1dFHp6MLNZIj+5k4ovfpHi9713cjo9FkMKBBDeRFb/VhB78EFG/8+XQVHwn38+2T17EF0uar7/PdxzXxtCPoUpTOFPC83Q6Ev20Rpq/ZOsb+/4Xj7xyKf5YOR/ow7IKE7JLt5oJtMWl1NU7qH/cBRdNVCcEopTwuVTWHJZE75iJw7XqReC0Z4ED/3yObYrTxP2DhArHeSC+gu4pPESvrP2Ts7vvgmnW6G/tINt3idob2ymzFPG1a1XkygkWFixkMORw3z86Y9T46shmo9S6a1kZslMXJKLTX2baCxq5J7V95DTc0TzUSK5CGktzeKKxXiU17en+0uCoZk892Ang8di1EwLUjM9hK7adj6HnhsiMpTB4ZZwOGXUgk5NWwjLtBBFgUQ4RyqSp6jcQ8OsYtSCQUm1D9MwSccKdO4cJVDqJhMvkE2pCIKAXjCQHCLX/fPi11gdvVN4p4m4Vy53+Cvb8cwrJXT172eTMtqdoPdgmLMub3pdoulPjV3re9i5zg5rD1V5WXpFE5YF+57qZ6zHViCU1vqobC5i8WWNp1mT/bXDsiyG4jmOjqSQRIHz28uwLBDfQHkHMJJTeXIsjt8lM83rYp7/rZ2/P+wb49HxOD3pPNmMSqMoM7JvApIaSpEDo2CAYdFaHaBrMIEsi/zva2ZzcVs5ZU6FrbEUtxzo5vGF05jmcLB27xBbOidYWB9kYUOIc1pK33wQrwPTtDg8kuTQcII1c6txSZDNZvF4PBQKBZ599lnC4TCrVq1CVdXJj8/no7X1dBvEfD7Pgw8+SHd3Nw0NDQwNDU2qNQCCwSDxuE38l5eXM3fuXBRFweFwUFlZSS6Xw+fzMTg4yObNm0km7QJhfVUzgXQbY8eztL6rnq4iaAt5Oa+tDKdbpmvvODse7WbJ5U2TSo2x3iQHnx/is10DxHMa99x2Fnv6Yvz31m5ymt053aqJVOsiV13XzvL5lfgskV//y4toBYP5F9dz7rX2/S6aLnD7f2yjP1vg3o+fzc6n+rnz8CCdikmj24mS1lFNiz7ZpNit8C9XzuTyudUoZ7jGDdNi9b9vxsgbrLCcVMZ0XB4HhazGAVReKLKIazoNJR76IlkWN4T4xW1n4XPKZHaOknphiLLbZiMVnZl0jGZURhN5NMOkezTFl397kKRgUa+LNGgiRabAi26dlGCxano5f7+igdnVATr6UzzydA9j41nm1hSx6l1NJHM6D700yCN7bbcFpyxg6ToWoCOyIKSxvMHDIwcmMBBxOxUkd4BQwMe/XDGbgGyQT0Zwu1wUFxfj8XgYHh4mHo/T1tb2htaA8XicjRs30tnZedq5JAgCNTU1zJgxgwUL2snmOjD0jJ2Rq0YZGr6fdPowkuRFlgME/LNBKKK3dzOWZRCLtdDeXkWh8DSGkcXjaSGb7QYqEcVzwXIST+TI501WrLiYkuJ5CIJIOn2UQ4f/hUh3OVgSgfq3VtORJC+GkXnVtzLZrBePJ4GuFxEJLyAahWzWTzZbxMsUjyzLp207QFFREaIoks/nyefzeF1+MpksDi1IhTmPQlpHs/JEy3bgUatYOHMZY0IHx08c57LLLuOss8563XFu3bqVZ555ZlJB09bWxqpVq6iqsvPKDMNgeHiYEydOMDY2Rm9vL/l8nuLiYqqqqqiqqsIwDO482k2huJzdJdWogoAEeC2Dslya1UYW4fB+JElirLKeblHhWEkVrUV+ftJcTu+xo+zcuZN02rYXPO+887jwQjtTVCsYZBIFguVv77lB13WOHDkyufzFixfz7LPPous6giBQW1tLW1sbtbW19Pf309LSQm3tqdzMbdu2sX//fhobG6mrq0MURURRRBAE+vv72blzJ6Zp4na7qaysZMmis3jpkTDpcQ1/iZuSGi/eIie5jMbI8Tgzz6tm4SUNbzjmXC6HaZpvSrhNTEywZcuWyWtFkiTmzp1LQ0MDPT095HI5ampqqKuro66uDukPeH9/NpKkN6/il0Qa3E6meZx4LJOf/OQnyIqCWdtIXNPJqirxSJiI4mS+28Ht11yJz3eqmecHfWP83+6R111Hq8dJrdPB9kSa/EmPUocg8OG6MopkiaVFXpYUed/6c160G/bdBwcesLOLwCYRSlptBU02AqLE3Skndxedy5yqJnYk0gznNR4LjTLvxEMoh35r5xUBGWcQt5pE8JQgVMyC4hZbdVM+A8pmgDvEUzvX4n/xuyxNHEStmIPjQ8+A/AoVbnzAzjXa9C8AWKFGnpQuYUfYSyXj5HFy7pqbWbJkyal5DJ3O54+z6b4R3MUDzL76EebOvJ+7/tc2yueuJ+Vq55JLLjvtvD0TEokEjz/+OJIkUVlZiUORadl0KxXYjRy6pwI5O4YlyLxgzSdaNIdpsxegdzxKOJElhY9+qulxVLP2nNWURMYwi0IMSg7KCxFuZIDLF1zE3LIqGD0Avc+zz1HL6pRt7f5fsxq4svwtZF6pGTv7yVUEsgtEySaHFK9NMIU77SynaRdD/dm2Esrhe2eynSzLtgHseQ6Ob4Sjj9v2f2u+Y1sEwpT93hTeEUyRWlOYwhSm8HvCSKcRXS4E+VTxN7FuHSNf/lesbPa0ad2LFlF/188QXW8in3+bsHSd9ObNuBctQg6FMHM5BEU5bWxTmMIU/jw4HjvOl174Eocjh3nk3Y+8IbE1kBqg1F3KYGqQrkQX7aF26v31SKKEYRps6nyGC9vOR3mF776a1+nZN0HzwvLJYPvvPf1jsutKKBermHVuDYvXNOJwyRi6+ZYtAV+JrJZl88BmvIqXZdXLcEp2MfDr27/OA8ceQBRE5pTOoT3UzqNdj2KYBvor8h1ckosyTxmPXvUoz/Y/y88O/oykmiSrZWkJtvDls7/8F28tmM9oRIfTTPSnObp9BFmRECWB6HAG0zBR8wY1bUEm+lOor7D9K6720jC7BK1goOZ0LAuGOmO4vAqmYVFU5sYXcjLakyQymEYUBUzz1PN3ZXMATTUpKnXjLXJgYRckZ6+oobj6D+uK/mPDsiw7FP4k0aGNZYiv76HQGSN0XRvet2h19JcKy7LoemkCNa8zfVnlJNFm6CaJ8RxFFW6kvwDy7Z3Er7f38di+YY6MJknlT13jRW6FrKpT7ncR9CjkNAOXYltZrphZzpFohv5Ejq6hJGZaxyxxYlR7OKe9jMsqg+xIZPjHhgoa3U7cksiBSIot/TFum1XDXb1jfPvJYzijBfRXWWp+/5aFXDWn6rTvElkN3TRPU0rtT2a4dM9x7p7dyLvKgvwxoKoqP/3pTyczS8C+ViVJek1RHeDKK6+kUCgwNDREMplkfHycfD7Pu9/9bhYsWICqqnR3dzMyMkJvby8jIyOsWrWKhoYGqqqq3rQY2dPTQ0dHB3v37sXv91MjLiBywuJ9Xz2H335zF/msTvP8Mka7EqSieURR4L1fP5vOnaPsfKwH07TYEjAYDIqsff9ZlNf6GUvmeWzfMOQNCg/3I5wkDqpai07m9qVonFNCz4EwF7xvBk3zStm7sZ+XftfHxX83k7YltkJ3vC/J9Xdso08wKJNk/F6FldPL+cxl7fhdb4/81VSDZ+45wuE9YxwoFRgNSpw7vYy7t/WyelYlP75l4eS0L/XH+NEzJ3A7JJyyyIHBBP2RLGV+J5fOquSx/UOE0+rk9EFD4Jqzanm6N0Jf5NQz/rcuaWFulcVDDz2EZVk0Nzczffp0SkpK8Pl8aJqGZVlUVlZy364Bnj40QlNyH49NlDK7qZovXD6btkpbMXPo0CEEQWDGjBnveEOBZVn09/fT399PMBikqgqy2V2Ew08Ti+8ETrfY9HiaaG769GsUC8PDw3R2djJ9+nQqKyvR9RSFwhhebyualkSSPIjiG7975AujHDt2F/k81NWuwOUSMYwsgqjg87aTzXYjSV5EyYWmxZAlLx5PE5lMF4aRxTTzGEaWifDTZLM9lBRfQXXNuxGFAGvXrqWnp4fVq1fj8/k4ceIEgiBQVlZGIBDA6/WyceNGVFWluLgYl8uF0+lk3759FAoFNE2jITSb9rp5TGhd7D2ynU9+8pOUlJSg6zoPPvggnZ2dNDQ0kMlkqK2tJRgMoqoqmUyG/fv3M2fOHNasWcPOnTvZtm0bqqpy9dVXMzQ0xP79+8nlbCVbaWkpemUNlJZjRiZIjQxTiEXZWz+NvfXtAMzxubm6IkRc04npBk9MJAhrOg0uB0ndIKYbiECT20FPTsUhCpxf7OeKkgD1EhzcuYP+Pbu48cYbmT59+h90DkUiEe655x6SySTFxcU4nU5GRkbweDxcffXVDA4O0tnZyciITbJI6Jwn7sVbOwur5UIsV5Annnhi0pLv9TBjxgxCoRC5XI6DBw9O/m4uWrSIK6644oxje5lUe5loGhsbI5vNYpom9957L26Xi09fOQ8p1mvn54QaINgAnhIKqsqGDRs4cOAAsiwzZ84cZs2aRUNDA/Kr36NHD8Jz34FQI1QvAF8FeMtg4igcWQeSg4Khk8gk6DRdvFR7MUL1AnoMhT7VZDCv4inE0dPjRBxBYnIA66QLQaki0+J2ENYMunIFXo0ap8KWs6YjCPBUJMkzkRQPjEa5tiLEV1prEAATi96cilMUmONzIwgCGd3gqWiSCVXn4pIADe7fIzMoNQpH10PHQ3ZuEIKdA+QttfOP+l+E9DiYmm0PhwWGSkz2s7P0LGJlczm30Edd58M2STL/ZihutpdzfKOtxnnXv4PzzKr7LdEUa5/+b7536CsYsov8mu/jXXATaDnMO5YhxnrtCT+wHtb+A8T76aGOJgYo4OSxmT/k+nNaoXq+TebcvQb6nme3dhs7IlfQsuZzVJR8mG2/bME9fS398WLmz5/PVVddxeDgIIqiUFHximdVy4Lnv4s19BLRE3vYa7ZzJHghkWiUJvq5lYcAyK3+Hu6lH4SR/Rhbv4N09LHJRZgIiCe1vKYgYQgSzwYXsbb8Qs4REywqDNDe+wSiUQBX0F5nITE5/9jCDyOe/QnKSushMQDD+2B4r30e1p1lk1ep0VOf4Zdsi77Xg+KBiln2MkzN/reWgyV/B5f9xyliKxOxiSe37SJEIWnnVRXS9jGVXaeIqVgvHN8EXc/a40qdVJV7y2Hh++C8z4LjL79h8UwwMxnEP1CVOoV3HlOk1hSmMIUpvAksVWX8P/8TQVGwCirRX/wCRBG5vBzPksU46hsI/+hHuBcvInjtdThbmnE0NaH29eNsbkL0/PXevKcwhSm8PRyKHOLm9TfjzgeYO3I+517Rxq0L30dOz6GICrtGd/Hzjp9z7bRrWde9jq2DW2nU2jnn4A2kHTG8WhGmaCApIqLXwDdchePsBFetugjTsMimVJ5/sJNkOE9xjRfToZEYzWHlJHSlwPWfOpvq1j9OARcgrabZOriVc6rPIeiy12OYBl2JLtZ3r+e8mvPYN7GPl8Ze4uYZN7O8ZvkZl2UYJvmUhiSLiLKArIivUeMYmomkvDMkgaGbJCZyhCo9b1pATIZzPPD1nZNkVVm9H6dHRldNgpUeBAGmLamgbnoxhmESGUzjcMsYmklx9VvrhLUsi3xaQ3FKZBIFJFlCdoh/Veoey7CIPdRJ9sAEmBaYICgingXlqCMZtMEUglMicGE9vnNrzpinFVF1jmXynBP649kL/i1hMJblyEgKRRJI5XUKusmy5mKqi9yTyipVN+kOpzk6kuK542FKfQ5EUcDrkPA4ZEaTeZ47HubISJJQsYuaSj915V5mVvopjNuKrdZyH+OpPOOpAnksOmIZckkVQTXt8o1DBLfMxdNK6TgRZTSeB0nAKHYg6BZmsRMloyNldfSkbVckSAKWYSEIdhZWc6mPumI3JV6FnkP7yI/3UFRUhMPhwOl0ous6qVSK8vJyu6CXyaDrOhO6yVcr2/k7MvzbqnPf0n7L5XLk83kCgQCSJJHNZunt7aWxsRFBEHA6neTzeQqFAvl8ni1btnD06FFWrVqFIAgYhsHs2bMRBIGxsbHJcSqKwv3338/Y2BhgK7ACgQDBYJClS5e+rmXZy5ZWL1sX/T4YGhriN7/5DfF4HNFw0upYydj4GA0zS4ket8iocfyzUsSOSbjydrB7y8Jypi+r5LE79mMADgTOvqZlUhWxd2M/2x4+wbX/vIihzhjHto8SH8ty4a0zaJpfxm+/udvOpTt5ic84u4oL3j/jtHEdPRzmyRcG+Pj756I43znrzd4DYbY+0Ekqmueyj85hXTjOdzd18osPLuH89nIyBZ0LvrMZ0wLNMJFFkXm1RTSXeTkykpq0S/z0uc1Yg1nGOqKcuzhA2Uw7g0pQXOAt5kRPH7mhY4Cdl9LU1MSRI0cm1XQvq3UAvF4v06ZNo6+vj3Q6zS233EJjY+M7ts1ngmVZpDPHiEa2oGpRLMsgGn2BTKYTAJerjsrKKwmFluFQSgALSXLjctX92azLdycyWEBSN3gqkqQ/p3JeyEdIkblzYBzdsmh0O1kU8PCJ+kTZgvUAACAASURBVArkV91HdF1/LRnxJigUCliWxeOPP05HRwetra2MjY1RUlLCBz7wgdOW/fDDDzMwMEB1dTVdXV2T63M4HDQ0NHDttdciyzJJ3eBYLMGGtWuxhvpBEJDmL8ZbU09ZWSm7siq/GY3xetW291WX8A915VQ6FTyveA7KGSZPRZLc0T9Ok8fJNRUhVob8KKLAjniax8bjrJ9IMKrav5+KILBsYoAFIz380z989A1VfWeCruu88MIL7Nq1C8MwuPrqq2lttZuzju99nvLYbkI1bVA5GwI1JDM5Ugcep/jY/bgHbJs3E4EBqjnqX84Ft/+YfD4/qaB6+RMMBk9TIY2PjxONRunu7mbnzp24XC4Mw8DpdLJo0SKcTif79+8nkUiQz+fw+/xc3pDFMXGQ+PggDjQcaDhR8ZCjlNhrts0MNXNYrSaa0Wgpc1HpyCI5fZCLoUkudpSfS9ww0PJppkX2MTu8G8sZQCik4FVHLucMkrcE8kikJQ+Vahi/cYoAz0suCrIXn5pAOtn0ZYkyOX8NYV89J/ytdMnFDBXPYmkoQK2o4cBCMzQiuSwdR7eyrXY121zN5AyDJdkTLKuo5nPzFiGHj9iqG1+ZTYBEeyDRD6EmWxVTSILstsmL18unGtoD6z9rk1VqxlbuZKOn8oxK22DejTD3Rih61f3p5awgQbIJkHAnxtZvIw3utgkXyYkx/8OYiz6CHklgqQUsTcfSdbBM3PPnI/lt2zxL0zAzGdLPPY+jsRH3nNkAHErnePahL/CJnruJuCvZ+4EXyG35NlccvpNxVzmls69AvPy7toJs18/Qn/kGsmbbLL4kzGWhdQBt3vtQVn8dvtUIFbOJTxR4YPTfcATT+Oo2Mr7/PahNG0jkfLhcLsrKyhgYGMDj8fCP//iPOBwOW1G04bOw+y4yYgDNhCC2ItoS7HuY5fAhfrbz9P2cT1D4j1mIlkG08jw8Kz+Fv3kJJAdhx0/ZNNDDitFncZonyUxfBTSvgtnXwP77bGKr4VyoXwpbvgX7TmZGOXz2sQUQZQjUQLzv5EoFm3D1V9jHb8H7wBUAQ7NJqWwYEoPQthpKWmxyqvc5m4hKDMCxDTZ5G2qyiayj623SS5Dsv6+EKwiFlK30inbb5w/Y89cshvpl0LTCHscf4b6ijY4iulyIRUVgGKQ2bsRUVbI7diKXFCNX27mFcnEJ3uXLkXxeLMvCiMft+d7guSq7dy/Z7dvtc9YyMaIx4g88QOXXvkro+uvf8W2ZwtvHFKk1hSlMYQpnQG7/fpIbN5La9BRaf//k94E1a1DqatEGh0ht3IilqvguupCa73wH0fl7dEFNYQpT+B+DcC7MloEtaKbGYGqQLYNbSBQSfNX7Iw6tD6M6MxilWYYLA3RXvkR/0VG0ky8H9UYrl8ZvRuosAcBTLmEGc6TVDIlkilC0howjgV8tPm2dmifLvuLNtEfPIiumiHlGIVTgpjVrOLdt6Tu2baZpTSpvXv4rSsJbtoF7tZ2daVrkUir9hyIkxnPsf2YAXT29WzxU6cEbtH9P42NZ0rECZfV+ZIeIwyWj5uzCgCAKzFpRTajSi7/Y9RoiKJ/RGO9NThJZ8bEsvQcjZOL28rxBJ8EKD6FKD3UzinG4ZZzuU0WxHeu62bOhl5U3t5NJqCx6V8P/OAXO20HBNBnKawxm8siSiPnMAIEDUWrnlCMFHCAKFLriqL1JlDo/zsYA/vPryDhF7h+JcFV5iMcn4vTlVa4sC7Ig4MECrn7pODuSWT5YU8pXWqtxvAO2JJphMhDN0lDiRXoDi7xfvdjL+oMj5DQTAfjimhksaSw+4/R/DMQyKv/9XDcjiTyLGkJcPreKjGpgmhZ1xXaDzInxNPGsyqKGEIIgTF5fBd3g6EiKwyNJesMZsqrBA7sGJnOfXomQR+GC6RX0hNN0DCdRdXuagEsmr5uYpoV+UjUoCOArdRPzSTimB8m+Qk1Y4ZD5ZEMFxzJ5diUyHMvksQBJgFvKi2lVFFZWFTHN6yZnmnglCcuy2NUb48E9A2w5HsYwTKJpFbdPwelzML8xRMEp8lx3hOU1Qf7PWc3MrLYVLYZhsGHDBvbs2UNNTQ26rqOqKoWCXRDy+/1EIhEAPB4PhmGQzGb57xVXsrj3CF+a0cTSpUtft2ifz+c5evQoL7744iTpJAgCfr8fXdcnM09e/v6V78qSJLFy5UpWrFjxpsc4mUxy+PBhKisr/yTkRi6XY926dRw+fJhAbAbpUCcmBrNmzSI8HmVswlZX1Ilnce7FC6ibGyAWi7H1rkFiI1lcPoV8WuOiD85k2pIK7vvKDhwuieu/YNs6WZaFmjcmfzcNzWSsN8nw8RjJcJ5zr2vF6fn9C+qxWIy+vj4mJiYoFApcfPHFON/CM7ZWMHjkOy8RH89yxWcXcMv9LzEQy/LZS9qJZTXu3NLFd85tozRl4A44qGkLUdEUQLUszvvWszhVi5snJLuJorGPsVQvYNvWvUxiApx99tlUVlYyc+ZMFEXBsizGxsaIxWJs27YNj8fDjBkzOHHiBB0dHQBcd911zJ49+y3vA11P0T/wC9TCGIIgI4gyihzE421BFCTcnia8nhaEk4qPQmGM/oG7SST2kskcR9ftDn9RtPeb3z+bivI1lJVfistZ+ZbH8adAzjBp3npgki5wiyJlDpn+vK2aq3UpzPN76MoWOJrJsyLk45ygjzavi/NCfvzyH0aOWpbF7t27efLJJzEMg1tvvZWmpqYzTv+yQmhQ1XkhlqbN62J3IsNPBycmc4QE4BMBhYji4N7IKQtFhyDwoboyLi0JMKbqJHSDlG5Q5pC5tiL0tklF07LYkcjQmyvwdCTJ4xMJQpkk7+k+wNltrTQ3NxMIBvnXY/2UmTq3NtfSUlvD7hNdxLM5zm5pYseOHRQKBWRZ5vjx40xMTNDc3MyFF154inR//nvw9NdOER8vb62vAtKjaILMzgW3U9J+AdaR9dT0/I5AopvwnFsIpQeRfOVQOYdsagKj61n2Bedw/6xPMjsY4gIvtMkqQiGNnkuyvTtBJq/h1WOMx9Mc6JmgnS7Ocx0jZCVwaTFM00BBJ48TQ/GieIKYioeCw09nRuNp73ziQjMLlDxjZooaK8a5o88Q1MZwopL3lhP1NxBI9IAoEzVFGnJDk1s24q7m55Vr2NRwDS5RpEUP02jEGQgPMuEIsTW0iDmBAJeVFTHf72GBW8DVuxkh1oespkFN2YV/V9Aml7IRW+UU64VoF4wdfi1Z8CrkJRc5Z5CifATR1GwiQ1RAf22O3etCVKBiJjgDYOr2R5BgcJd93BSXraYpbbX/ekuhaaU93rdwPiYee4zMzp0U33ILrhkzsGLDjP3nT4g/9CiW9vrbJpWVgqZjpNPwKkWz76ILKf/MZ3A2NzOhaty75V4+9cLtfLf+/Xx88H62V13ADS2fR8DiHxur+FzzSdV2IQ2GSuE/F+MsRE4tsHkVdD8Lt66Dw48y+OJLPB7/IoYOCBaFms3c6NrK79LtWP4aVgb6OTEUpmzl37Mwus4+fp1P8jyLeYrluB0K/3RRBWJm4tT+rD8H2le/dkOTw+D00286+FbPKNM8TpYUeSmSJS7a3ck3G0N8wJu1iSnXm+TdxXph//2QCUNZO1QvPEVYRrtt1ZS3DKS32RRnmjaZdnQ9pEchPQFVc6Fyrn2uyS77HHIFQHLYloII0LPFVjC2XgzTLrHJsj+QxFIHh0g+vg7/RRfhbD3ldGLpOsknf0d2x3biv/mt/aWiIHo8mImT97xAADOXg1ece6LHg1xZiTY6ipXNIigKcmUlnoULCF53HWY2izowiKWq5A4cIPXkk6cGIwggSaDrKPX1tDz5BMKUbeJfDKZIrSlMYQp/07BUFRRl8gUit28fEz++A9HnJfXEkyDLeJcuJXjDe3DNnAWAo/ZUp5I2Po6ZTuNoavqzdTZOYQpT+PMgq2U5GD7IC8MvcP/R+8mdfLl0Sk5qfbXcvvB2hC1VHH5hhGH/CVymh6BRilBQMAM5ms8qIRJJkNnnRFJEDM1kxY1tzF5x6jdmNDPK55/5Ahc0XsDBvV1EcjHGcqMosky/5xhn1S9m18gubl94O6sbV1PhfWNbN101GDwWQ1dNFJeEwynhcMu4fApOt8xEf4p8VqeQ0cimVIY74/Qdiry6MRVRFmhdVA6WHRpeyOgkwjmKSt3UTg/ROLeUQkYjPJjmpd/Z3YNa3s6D0l5lI9a8oIy66SEMw8LQTbS8QXgwTS6lYlkQqvDgDTro64jgcMloqoHTIyMIAulYgfiYXWwWJYFpSyoIlrvxBJyM9yU5tmP0NMLM4ZKonhakrN5P/+EoWsEgMZ7DOFnUR4DWReX4i12oOZ3ufROU1vp496cWvK1z5J2AZVkUTAvNstAti6As/VnuNxFVZ91EnI09EzyrFrBeNYQAAruWz6JIsYvblm6ijWRQau0O7O2JDP/WNczu5MnjNZ5DDhcwBfA6ZDKmgdSXoaypiMFmD0uDPr7ZVssT4QR/V1M6udy3iicPjXDHcz0cGUyg6SYzqgPcsKiWi2ZWEM9qjCXzRNIqiiyy4cgYmw6MEAy58HkVEvECgmExv62EvnAGtyRy/dwaVraV4pAk6ordk8dAN0ye6BjlohkVuB1vvbBqmBaRdIFDI0kUUeTQcIKHXhqkayJDmc/JaDJ/2vSfunAazWVePvub/WiGRXOpl4UNITYeGuW6RXU80THCSMKeRxYFDMtiycxyekpkRgsaToeERxJZpEukRjJ0jaapL/FQU+nDX+xiwjLY5zBZWOSlzuUgqerE8jpHMzm6dZ1vt9fy3qoSDAsSusGhdI7PHhugP68SkEUWBeycjjk+Ny0eF80eJ6qqEolEiMViBAIBSktLTwtuB0jkNLon0iyot/MhwuEwR44cpW72HJz5LM899xwjIyOoqko+n8cwDJYvX86FF174utfBy++wgiCg6zqRSITzO8eZkZhg7u6tzJgxg8svvxyv18vu3bvp6OggmUzSWdA5WNNCk2RRVlHBlX4nWjJBPB6nUCjQ1tZGKpVCEARUVcXr9eJyuRBFkdbW1jfNbflzQlVVvvGNbyIYEqaoMW/ePA4dOoSu61xyySXs2bOHdDpNWVkZQ0NDtp1efRtFShUNs4vpfdZgpDvBnBW17H9mgOXvbaRpbimBwKkC3PPPP8/mzZuZM2cOV1555dse68DAAEeP2tlAmqadllE0MTFBdXU117+iS3p8fJxt27ZRUVHB2WefDUAqmuc339iFrEic+4Hp/MfOHp7oGAVgvuDg4pidJ6mphn1vE8DplskVKySGM8xZ5CIqnKCvv5dly5axcOFCysvLsSyLZDKJruuUlJSccRte3cgxOjrK+Pg4jY12RpTX2wKApsXQtASKEiSdPoqmJdCNFJapo+sJ+vrvQtOiKEoxlmVgWfrJfKlTN2RZLiLgn43TWcFE+GkMI0MgMB+fdxo+/0zKyy7B4Xh7uXF/KqR1g7sGw3yjZ4TrKkJcUxHinKAPpygQ0QxGCypNbifek8TVD/vGuGswPKlKqnDI/GtrDVeVB/n3nlHuGQ7T4nZxeXkRS4q85A2LTZEEy4I+Li0tmlznvlQWpygyz+9GEYRJZeXw8DDz589/w/usZVn8cjjCV7qGyb6icWB50MeqkgD1Lge/HA7zXMzOt/r72lI+VFsGQJEsEXwr9zPTtK3HslHIxWDimK2cCNbZNmPOgK28kGRIjtgWa54SmzwRRV6IpXjv/i5Mw2BZ9yHK42H217bSWVkPgGialOXTjHkCODSVj+zbwpDsIFxczrC3CElW+GhrHZdNbz11/y2k4DvTMWuXcNesTxNNjjNHHaNdH6cyN8qDahFfqbiOvHiKgHaYKncc+RoXRrfT664hoGeoKYxjILInMJOzkh2n2bKdBlGZJHwsUSHmbqQ4cxwr2IBQuxj8VaiZOKq3BnH57exVLVTTwidLfOBgD0ndwCtAyjAwEbBOHtOydAK5KMiIbk4W372WjmaZ1Pv8/KKtjFavBxQ3CALrJ+I8Om4rMROawXBBpdnj5AfT69EsKFH+gOeyQtq2czu2AXzlNqkkSjbpJIq20ur579nf+cqhZBqMHbJJxfplYOiQGbeVU8XNEKi2yTJRsc+TfMJWZI3stxVNomSTYoYK5TNh1f8Gz2sbeArd3ah9fVgF1c4C1DSsQh5taAj/6tW4Z9l1kdz+/fTecCPIsk0clJWhDQ1h5fMEr78e5/R25PJyRI8HQVYQZAkjmSR69y9QqqqQKysRXU4EpwvXjOnk9u0jctfPMfN5QjfcQOknPk7a6yPxw6U0pLqwnH5iH9nBzP22rZ4iCDy9pJ0276lni/h9HyF47H66qUN1ljK9sNfeH5/vJ9y9l9AjtzCcrGV97It45CjvL/2YfcnJbsRXEIU6MrJggmXyUuBSNqkLOX/VKmpra19XWX0mJHWD6/ad4HA6h/6q03zfObOodP71ODP8MVA4cYLcvn3Ef/NbjEQCI53GOGnnLDgcyFWVdvOGIGBms+gnG498F1yAd+lZ6OEwejSK95xzUCoq7Fx5WUafsJeh9feR2LABIxJFrqzAUVODNj6ONjRM5vnnMU/mEL4MweWi5LbbKL7tNiTfqWe7xIYNDH/mf1Hy0Y9Q9olPTMV9/IVgitSawhSm8DcHM58nfMdPyB08QHbHTtxz5yL6/ejhMIUjRxAcDixVxbt8OTXf/Q5S4E26ZqYwhSn8zWDf+D5+euCnjGfHOR4/jmmZCAhc0ngJH5rzIUKuEKXuUsSTndMP/fseDEHHd22ElXUrUQwnO9f1MN6XZOREAkGAWefVsOTyJpuoEQUy8QK+kPN1X5ANw+Dpzi1sOLiRBdIy2qU5eEoU1LSJ26fg9jsorvJi6CYun0JsNIvikJCdItHhDNvXdpEM51+zXACH+5QC6mX4Qk5aFpXj8sggCJONd7HRLL0Hwjg9Mk6PgsMl4S92ER/PMtabwnqFmqN6WpDiai8Ol4SumTjd9jxVrUXIikSo6s1tAM8EXTM4+uIoTrfMwNEoPfvD5NN2AURSRKYtqaDtrAocTplAma3kevW6TNM6qeAKk47kOb57HK1g4HBLOF0yy29oo2H2mQuYYBe4xlSd7myBp6NJfjsa5VttdTS4HYRVnbCmE9cNapwK0zwuyp0y2kmiqkSx7YqOZvKUOWQcoshQXuUHfWO4JZG9yexk5zdAsSJx37wW5vlfa207XtDYFk8z0+dGAEQBmtxOBGBvKsvOeIakYZA1TM4J+rigOPAaC6dXY0LVWD+R4I6eUfo1HadhcVPYos3rolqSyfXE6Zwb4nt6htvry7mxqoSALBGUJWK6zi+HIjwwEmEgmsMVV5ljyiRzGr09cbxOCcOCgmZgWXZtybLgwsU1PF0KedNCiKmsnlbGz+ec3jyiGyYfe3g/e49HmFkZYCJVYCJdIK8ZXDa3igd2DWC6JMwyF5ZLwjmUxcy8Nt8IwJIEjCo38qxidMHCSGsoHXGElIblk0G3EF8x7/RKP/d+aBkhj8K/PNrBr7f388kLWrn1nEa6JzIsaghNqsKeOz7Bt548SlOpj29fNxdZFLh/1wBfffwwTlk8LZ+qNuTm/149hxVtZWztnKBzLEXApfDciTDr9tvZBMuai7lmYS0P7BpgT1+M2pCbwViO+XVB/v68JubWBKkOuvjGiWF+PBxmrt/NipAf1bTozOTZHEud8VivCPnoyhaIaDp+WSIgSZQ5ZD5aV87qsqLXTJ/WdEY1nWa3E/Gk7V5PTw979+6lq6trUtXyMkRRZMGCBVx22WWTGSimaSKKIkNDQzz//PMcOXIEAFmW0XUdh8NBW1sbTqcTp9NJfX097e3tv9dvxoodR2n1OLgtMcwzzzyD2+2mqamJjo4OSkpL6aifxnp/OTqnllnjVPhQbRlOSSRvmIwUNK6vDDHnda67vwb8/K6f0z/QT2lpKR//+MdJJpOcOHGC+fPnk0qlWLt2Laqq0tbWRj6fZ/v27ZPzfuwjn2TTnceJj2Xx1muMCC8hiiKXXnopFRUVFBcX88Mf/pD0ycLQTTfdRHt7+9sa569+9Su6urooLi7mhhtuoLS0lLVr13Lw4EE8Hje5XIbLL7+SfD5POp3mwIEDZDK2Cua9733vpD3aeF+SJ+48iFYwOOuKJjYNx1h/eJQ1KZn3fGw+tW0h0skc+3ceYah/BCvlJnzMIlV0jIJ7Aq/Xy/Lly1m2bNnbuj+ZpoamJ9C1JNlsN2Nj6xgbfxxBUPB4mjCMDIXCBJalIooOTFN9zTKCRUuYNu2LBAJzJr/TtAT5wgiWqZLOdJKI7yGdOUYu14/LWc3s2f+Jx3NmhdGfGiMFlZG8RsYwEQRo9bgoViRGChovJbPsTWZ5ZDzGhKoTkiU6ls9Geov7O67pdKRzfK1rmP2pHBUOmTFV5/yQn4G8elo+0cs99e8uD9KZyXM0k59MExOB91QW8/0Z9W9pvRnD4MMdfTwdTbIi5ONLLdUM5VUqnAoLA6cKoIZlsTuRISBLzPC9RftQy4K9v7Lzm+IDr1JDvUUIEtQugZX/RH/5Ij7TFeH5uH1t+owMHzSHOa++mUeisDuVR1JH8Ro59hTNpkSNU1MYYwZJojjI6xrfPv5dcs0XUd96NtkDv6Ws5yk+s/xu7pWaaXE76c0XME4+8gnAr+c2Y5ysJVY7FbbG0sQ1nZk+NwN5lYimk0uF8Ysm59W1siBxkEDvFpKGRYem8GBcIyV5aff7+Tgn8LqLbCKv6xkYP0K4/WoebrkZUVIIyhLTvC5MC347GuWuoVO5hoog8LvFbZQqMv/cOcBMn5tLSopYvce2SLu0NMCq4gCLAx4a3E78ssRgXqXMIeP8G1NhWJZFdvt2ovf8EiOdQqmoJLl+/ZlnUBT856/Ef8klRH5+N/rEBHV33snED3+A6HCi1NTgWbYU//nnv63x6JEIEz/6EfEHHsTR3ETz2rUIhx+Ghz9kZ3Et/Qjf7x1FTib4r2gWp9PBYwumUe1yAKAe34zj/13JocpreWi0hn9q6MDldjO+6nv85Cc/QcSgjhFqtDx1zgIzzI1Qe5Zt2dhyAcy/mb5HvsJYXyezbvshx3sGWPvsbq666irmz5//pvuyK1fAKYqUKTKyIHDh7mOcyOb5+ewmzirysjGc5FNH+2l2O9m2bMYbLu+PCX1igtQzz5LevBmlpobyz3z6DWMzjGTyHa2LmZkMw5//PKlNTwHgbGvD2dqK6PPhaGjAs3gRiUcfw4jHAWuyacm3fDmWqlL07nf/wRlXeixGdvt25IoKHHV1CE4noteLgUBvJIsiCThliaePjPEfmzdwR/cRgls3IVdUELz2WoquuQZtaAj3/HmnOzYlBk82H/hPfZeztwN36PT9oKq28kv68zQt/rVjitSawhSm8DeD3MGDJNY+SnLDBoxYDOf06bhmziR/8ACCy41UHMI9Zy7F738f6S1b8a1cMUVoTWEKUwBOduUe/v/svXeUXXd57v/Z9ezTy8yZXjRFvViSZclVMrZxB5sewDahhHADCaSBKTcJgQRIYAEBk3AhkBv/wATjYMA27shFrpLVNWozo+kzZ06vu+/7xx5LliUbm5Lyi561Zs1as8/s+t17f8/7vM/z/Ctf2/k1YmqMJaklrG5ezVnps1jdvJp44NSCr1G3+Jebt9G7upnL3rUceUHF4Tgu+ekasiJi1Gxc16VaNCjO1jn41CyVnE4wqqBqMnJAQhQF//OqiGU4uM6vPkdLtoU4/42DRJs0LMPB1G3MhkNxrk52osLija1EUxqBkIIWln8l26hytkFmrEI4rhJOBIg2af+hk3TbcqiXTMLxwMvmcLmmg52pI0YUpIiKIC9YOI2VqTwxRelYmVnL4qklEaIbWtnUGichS6eEbX9r7ySfm89Sf8EhpkSRvHuq7dvpoIkCrgfmi+beTYpMSBJZGw2xMqIREEUE1+Nrx+bIeS43djTxro4mVi6Egs+bFm/YeZSj9ZODxrs0hVnDOqk7VBUETM8jKUt0B1XSikKTKtGkyDge/CJfRhYEEorE08UaLtBfc7l5xGZ9d4LOawcRXnRuL7tnFwcny7hhGS8iIzYclNEKLjYaszh2GUFsEBRaiYrdvHZ5Ox+/ejmaIpGtGvx83yxvWt/JX/10Pz/cPsmqngS5kMjMwTxOOsCn3ryGvGkxX2iQnW+w68A85VwDN64QFkWiYZV4SKHasJiZqODGFD75tjVc0pag6ri8a+8I9bzOOldm0nM45jl+1pPtcsOSNlbGQtzQ3oQsCuyvNvjnyXmub0nSrMr86cEJhuYrfDAcp1mS+Nw9B9myNM2mvhSfvXuImCZT1m06E0Gmig3aYhrXretg46IUf3r7bsKqzHSpQUiRqC8QeIMtEcIBmQ9ePEBIlVnRESMVVk87RizH5bZnxjmaqfLRK5cSWejqrZs246bFjlwVTxHZmi8zoZuMNUyKtsMN7U18fknXScTlgWqDwzWdmuPScF2WhDS6NRXb81gcPk3mxovgui7Hjh3j0Z//HPfQIVZdcCFOLovluGTmZinOzJBt72D5ORuIx+Ok02mSyeRxEmX79u2k02l6e3vxPI99+/bR0dHB6OgogUCAjRs30tnZyf79++nt7WXFihWEfs1s0jftPErOsrl97QBOPseDDz7oq78WL+exzsXsqja4qjnO55Z0UbYdyrbDh4bGONY4QTQogoAA3LlukPXxU4soRctmW7HKtkKVQzWds6Ih5kwL0/V4V2cT58Yjv5RA/m3i8OHDDA0NceGFF76sygh8ZdcXv/hFTNM//paWFi7YtIXysMT2qXuRJF899XyG1PN44xvfyGOPPUYul+OKK65g48aNgG/Vls0ewfMOUqnswTAzLFv6WVT1ZHWA53l84QtfoL+/n0su6UeSbILBHiDG8MiPyOW+/wfCpgAAIABJREFUSaNRpFGP4noiogCCINPa1kuhcIBcto2enj/gwguvAaCaN/j3Lz5Hreg/E0VJ4IrfW8n2w1uZmpqiWq3iOC8gDRZUWxs3buSyyy7zs1ReArZdpVo9iK5P43onxonemKLeGCWXe/S4/R+ALCfoaH8TjqtjmlkkKYSqNiOKKpZVIp1+LarShCxHEAQJENC09pe9Ti8+d/8ZxTDX83gw5z93kopMUpZ4plTjZ/NFbM876R46HYKiwDnxMFc0x1ka1rgwGX3Zz58Ojudx63SO705lScoS/7Z2gIAoMmOYPFOqUbFdrmyO84dDYxyq6SwNa6yPhTg7Fma0YXDrdI6DNZ1vrVzE61pOzSL1PI+MafOF0RmO1AxEAZ4t1fjrxZ28p7MZ8fnzbpsLNlWvYN40sxtyw35x06ovqLHyMPGMb+nVvQkWXQjBlK+iCaYg1ecrtmrzvvpGL/lFeKvhW8iJsp+XU834xFg9B2oEb/Vbuav/dxgvzPK/nvwzxFrG3wcpAE0DeLlhTM/jwfRmrs48jOCdPHepKjEilp/fk5dj/Kj1Cr6/5k95T1eamzqbqTkOeyoNtpdqdGsq17cmX3y0rwpfPTbHM6UaTxQrhCSJLk0ha9okFInXpGIL+Wqn/9+3tiW5ob2JnGXTGwyw4jRk4qP5ClXH4er0by939jcJ1zQRX+ZZ9Erx/DPCM02s2VmsqSnK995H+e67ETQNJ5tFampCikSwCwUSb7ie2DXXIAQ0BEVBUBUEWUaQZbLf/D9U7r0Xe34eZJnuW75OZMuW38DRnozyvfcy9ZE/JrxlM22f+ASqVoOW5Xi2jZ3LMXLd9Vivv443XHQNrQGFH68b5ObDk/QGVP6i8hCNvtfyxa9/m3M2bCCbzXJ0eBjwrWBbW1tJJpN+Dt/409CyzCchFjA1NcW3vvUtFi1axPT0NF1dXdx4441+ZqfjsLfSwPa84wTo50dmyFo2zYrMtuIJ5U+bqjBrWnx1WQ9vaz/xztteqtEaUOjWfv1r+2rgmiYzn/gknm1Tuf9+cF3k9nbsmRmEUIjur3+N8Pnnn/w/uk7uO98h+w9fI7jhbJJvfSvBNWuQOzpe0dj0XPe4XZ85Ps7c57+ANTGONT2D22iQ/qM/JHTOOQTXrkWQfnM5m88jU88gCiIBKUBBL5BtZImqURKBBM3BZgRBIF/T2TZ2gD0zUzxydJIZYy+OdgjPbMIx2hGVPEp8F1LxEr7bcglND99N7fHH/UYEIHb11cTf9Eb0/QfQn30UxrZRzyhIYQ1PUIj1CyRaR5EDNuIlfw5LrkB/8l4KWw9Q2rYfUVFwdQNEgZ5bvkzowkt/4+fh/684Q2qdwRmcwf8IVB56iMkPfgghECByyWtIvv3thBe+bJ/BGZzBGfwy/OzAPXzimZu5uONi/lfbn9KSOpG/pGgy5fkGO+8fw3U9LNPBqNlkxionlE8CJFpCNHWEmRkpUS+ZSLJ4wvZuAZ1LEvSsaqI0V8cyXSzDwbFdkq0hPNdDDkhEkgHCiQCp9jCRlEY52yDWHMSoWdRKJrnJKqLsW/O19sZwHH89WkShY3HitJlQrufx73MF9lQaXJCMcGEigiqKKAtF2Lxls6tcZ2+lQUyR6AwoXNoUQxIELNfjQK1B1rRZGQm+KhuNXeU698wXEQSBZkUmrcpoosgvForzr0nF2Futs6vcQJMEYpLEVek4kiCwKKgSl2Vum8mhigJroiEuTESOd2o+j7xlc6Sm06mptAcULNejUtD5l3uGGMHBEgVsAVo1hcmQSEa3OBQTMV+iAL1MVrgyGEIaKdMW1fi4WmdFyeWqGYvuusuimkvY9tjWqiAHZZpsgWTFItJwmUurTK9JUU6pSGULr2AwaZjIMZX1JRe9K4xlezg1i/P2l0jWXYSAhKjJiJqEXdC5VbP50nINWQDbg8FQgEtTMX6eLZExLf5+aTfSQgG+YNncM19iRSRImyDS3vDoiWkkwgEOOiYPFirMGRZZ0yZn2eQtG9312JKM0rBsCg2LiydMLhltsLQpxOTmDr7xzBjbj/kh957nIYkCbXGNw3PVF50pl2h6HDX1E0xx5qQlKS3FprZNjFfGubj7Yi7vvZz+RD8srPP2HZN85q4DJ6mY3LCMUDuhpXGDEmvXtXHx6lYezleYN23mLRvTdbmuOc5NXWk2JU6Ez0/oJh8eGufpUpU1kRCvb0lwVTpOWBJJqwp5Pc9MdYbuWDcx9eSGlnnT4todR6g4DnevX8JDO6b47N2+ouiqVW2876I+3vntp4kEFD70mgEeO5LlkcPz2K5HcyTAD3//XIZmKjx+NEtLNEBnIsjrzup4VXaFAH8/OsM/jGXo1lT6ggE0SeDn86XjioPehb93B1XWazKD89PMZ+ZIpVKsWLHiJLu4F8IplbDn51EHBk4pjDuOQ25yksl9+5h96inys7M4usGKw4eJlEqnXZ8QCqGtWI5brqB0dKB0dyMGg+gHDlBsb+NgLMawbWMYBolEgkqlwubNm9m0adMp9oS/LvLf+x777vwZ733Xh6hHIlyUiHJ+MsLuSp2750t0ayp/sqiV32lLnXTsjudRth3s5+0MEbhi+yGmDIv2gEJHQKFVVchZNnOmxZxh03BdgqLIQCjAUK1BSBSRBIGi7ZCQJS5tinFdS4LLm09tgvivhnvuuYcjR45w+eWXc99991EsFkkkVERxhKuu+hh9fX3kcjnm5+cZHh4mm81y443voFjaz2OP/pj57CjxuEg4fBRNKyEIFqLoIUlhXFenuflS2tvegOe5mFYeQ5+hVB5jdGQHqSYP1507ZZ+i0ZXIcj+GkUFRBERRpNEYx7ZLxGIbyeV+gesKlEp9qGqecCjJiuV/SDxyOa7joQQkjowc5I477iCVSrF06VIGBgZoaWlh//793HfffQB87GMfQ9M0ypU9VKsHMfRZdH0KSfbJzHp9lHz+cU7x5QV8MqqDaGQFqdRFyHIUVW0mkdiAKJ78bpo1LPZVG6yPhUi9SnvVV4KMYfEv01laVYUbOpo4UtfZUaozXDcYbRgkFYnPDHYet/V7tfjUkUm+O5XldH02Fy/kXC0Na6yNhQhLIpbrMdIwyC8UftfHQiwNB4/PM/6zYLou1+88ylBV56frB4+rMYuWzXv2HWNnuUZjQX0eFEUEAb482MZ1MXwyqjTpZxM99Y9+7owS9K0DPXfBTq7ZtwSMtoIShsoMDP2M044fSfUJqkWbIZL2Ca3UACy9yreNe6XQyz5Btu8O/8cxfAVXshcu/Qt/ee4IZI+CEsQ99hiCXkY4572w6CI/l6dwDKw69ZVv4qfb74Ngkq6+s1kbixD5NTPMXgmGqg0+OzyDh0ezKvNsqcZow6RbU/nxukGCokjRtvlFvoLtelzTkqArcKoa/z8bnudhz82h79+Pvv8Abr2OENRQu3sIDPQTWLwYQdOoPfkklfvux85kcIpFlK4uAoMDZP/pm0Q2byZ84QW+fZ+iILe2IKdSeI6L3NyElEqBZWFOTmHNTIMHSmsLSmcnQiBA4fu3Mf+1r4Hr4tZqxwvxQiBA9PLL8QyDyJYtxK695iS1SVm3cF2fDBMFkEQBSfSVK57r0ti1C0GWfbu306BQMxmer9IW12iYDrNlndmSzq6JIrrlotsOysL6NEVkpqQT1RTefHYX5w004XkeYzfeSGP7DiKXXEL3N27Bnp9n/Pfej3HwIABiPE7xp3fzOwcnaVEVxnQTRRB4+tzlRGWJu390O2NjYzQavq3g4OAgN9xwwy+9bq7rcuutt1IqlYhGo1x//fUkk0nmDIvXbj9ExjxZ+R+SRM6JhRmqNXh7exM9msqTxSo/misAMLx5NeHfAmHzcnCKRcRo9DhR5Hke2W98g+zXvg5A/M1vInXjTQSWLKaxcydTH/4I2urV/nnO56nc/wCF730P48gR/xg3bcKancEa87Pmo1ddSevHP47S0nJ8m+V770OQJYSARmP3buo7ttPYvYfA4CCB/n5Kd96JGA4TOu9clJZWopddSvj883l08lE++fgn6Y/3s7p5NelQmsnKJMublnNt/7Uooj9PDythRkujtIZbadgNJioTTFYm6Y318sj4Ezw7s5cj5V00qz20BAbJmIeYaYy85DkKuF2YloyrTCGIJ1wxBEQGgsspuRWyxiQiAg4OsqNSOPK/aY9FeUO7yHljz1F/+GF65k5sQ444eI5APRUhJunIVp3arHb8kR/p0BEVl/JYCEHyiHX7Y1NUXAQRpD/5B5q3vOE3MAL+Z+AMqXUGZ3AG/y1hjIygLlr0ikIaXV1n9LrrQZFZdNttSNFX3wV4BmdwBv+1YRkOIzszlHM6Rs3GshwU1c/NUDWZdE+E4lwd03BwbRfH9ki2hQjFVGRVomVRDFEUKMzWeOj/DrH64i4CYZnn7h1nbrKAqwvYskFQCmEZp9rBCKJwkuXeiQWw4epFCEB2skpuqkqyPUzPiiZy01Vae2NEmzTCiQCRRAA1+Nv353YNB/NYCVcWmJMgGQ3wpSPTfKtRPU6UPP+7WZGJy9JJNj7PY0syiovH9lKdxoIqSQR+rztNVJLQXZeCZfPzbIkuTWVLMsp5iQgl22HetNhWrHJftows+PP8FxbGgqJIRBaZN21SisTZsTC25zFSNxjTT+78DooCIgI11yUgCNzc3877u9PkLZsvHZvj3+fylBfIQwF/W2EXaiI0CSIagAvTOPTokJBFzu1O0RxSSSoym+pQeWSCPYZJRnB5qFVmd/LEdZI8eHj1AIPBAHZORz+UR+mIYPZEqbkudcOmWmiQeWIas6DTOW+QRsAFbElEDIgodefEzi1AXRRDTmm4hoOn27i6Q8Ww2ZotM9AVp+l1/WxzTB4qVXmiWGUwpPHlZd2sEiT2DeU4bJoM5WuMzNdIiyJPjRWYeYGNYUSRWJYIEQAE20UOSEiKhKOITM9WMeoWNh62KOAEJBqOS810iGoy163tQJUkBAEM22GmqLOqM87vbe5nLF/mmYkj3Dv1PQ6Uf0FUjfLRcz5KT7SHsBLmaPEot+y6hfrUOBvtHh6MTWDJcNOKm9jUvgmAzV2bmSk1+M7jo7x9Yw+XfOkRAC5e3sKb13WixVQeMBr8eV87zerJ94zjeSfZV9WtOtvntrOhdQMhJXTKcoBCscA7730nE8YEAFEpyubIZpZUlxDrjJHuSdPSvJY37R3Hs0okmGPxWA+W6fDdd5+DpkgnZTkB5KoGz4zmOW+giUTo1E7WmuOQt5yTunR3V+p85dgc62IhdNflslSMkCySlGVaAwqbnz6I7XmsiGiMNgxmDZs3tSbZkopSth2uSYaZmZlh//79PPvss3ieh6qqxxU3nZ2dMD5Oz/4DtHe0Q6GIPD6OMO9nU+ihEJaq4jY1YS5ejLdyBe7WR2h57jn//n7R98PINVfDuvUkli/zz+nC8tx3vos1Po7S1YU1PY05MYFXr6P29mKOj4Pnoa1bS/gNbyD1utdhAcHgK7TnAszJSaypacSAijk+jjU1Re2ZZzAODJF4y5uRmpoxDh3CHB2lsXevX2Bev56fffIz3F7WmdBNEp5LSAtw99mLaQ/418CzbfRDh8B10VasOKVjeFI3+fFcgeG6wZRhMmfYRGSR9oBCUpZ5S1uSdbEQqijieN6CAtNla77CfdkSD+bK5C2Hzy/p4nc7T+QcuZ5HxXZeMjeu4bi4eMcLYp7nMa6bfHVsjqgs8VcDHS9byLVMA89xUIOvXPHmOA6O46CqKrZts2PHDubnP00wdIiVK79CW+vrFvbFpVI9QLUyxNj4N6nXR09aj2FEKRVbSCa72LMnyoUXvpW29h2Mjn71RVsUgTjlkkxTooep7TnKMy6hJog0qyw5+zoGlt9IIBQ56Vj9rCkPUZSp1UbZ8dz/xjC2Y9uLsKwM4XCJ3p7309V1E54X47Yf/BGtLYeJRhsIoowsx1CVFJHIcg4dGkELzhAK1THNHN4LFFiq2oLr+u9BWY7Q1vp64vH1BIO9iC/ID5LlKIpyetJyvGGQsxxG6jr3LIwHw/VIqzIf6W0lKksMhgIMhjRivyZpMFRt8O59o8eVUgFRwFiYo6iCQFKRmDdtzomH+cFZAwQXml08z2PasEgqMkFRYN60eaJYJWfZXNkcZ7husLtSZ1+1wU8yRZaGNd7b2cxV6ThFy6Fg2WiSyJr/ZjadGcPiqh2H8YDPL+ni4XyFZ4sVescf4i1qmRbBpEO0iLs66vBDyMXRU1fStwXazzqRWySIkD0MZh30oq+cMip4CJhqCreaJ8iL7GC1JKSXQGHMV125C4XzpsXQdxG0r/Vzk1zbV4RNboexbT4BFYhCrNPPSTr7XX62EkAtC9u/C6VxeO1fn2J9BUB52ie9oi+fy/qror5zJ1Ishtrf/yuTTpbr8XSpyqJggK7/QHWLq+vUnngSY/goak8vODbWXAZ9/34/m9tzMcfG8RwHQRSx83nEYJDo5Zcffwc9nw+EKCJoGp6u++8lQIxGkaJRrOlpxEgEpbsbKR6nsWMHnmURXLeOxp494Ly0FaWgquB5eJZ12mWeaeKtP4fokkHUphROuhWlo51iRx87Cy6KLFCsW8yWdQzLxbAdth6aP57T+WJs7Etx8dI0GxelKNQtxvN16obN687qoLcpRL5m8s1HR/iXJ45hHm/e8xDkMoH0/ciRI0hugoC9GM8J4rgituMhRffhWGGqM5ezsWsZf3zZEjb2pcj83d+T/9d/pffWW5n++M3YmXnUnh7EYJDGrl20/+3fsuviS7lpzyiSIGB6LpuTUR4tVPhiQuHQnbcDHG+e+WUZmA3HZXupxmA4cHx+AGC4LjfuGeHZUo2vr+glLktYrofpeSwLa6c4OdQdl/5H93B+IsK/rxt82W3+JuG5LqWf/pTZ//0XqIsHUVpafXXezAxuqUT0tZfR+dWvnlJHm/3MZyl873sE1671x5zrEli6lOgVlxPo7yd66aUgSdS3byf37W9Te/QxANIf+TCBwUEqW7dS+tEdJ1YoCASWLSW4bAnl+x7Esy0806Lt9YtIXrIWIq3MZA/yLS/H7eWDdEY6SWlNHMwfxHJNZCGA7RkkAgl0W0d3dGRRxnZfwkrcE/CsJHa9H1EpIGmTuFYCKucQCQSxXANNjBGWkyhKnYIxjxPcS0jR6I4MsLJ5BWtCATr3/BMD1RLR3FGQg5jpxQj5MXYLOu9ub2Vt9Dy8yut45oiEbTt8QPkxmzP7iFJnWWqSp0IbuKvnz9lVsRiahITqsT4icOnEDsypCc49sA1PEnlq7cX8qG01qA5RocZkOIvXPMLntnyGLcv+82wp/7vhDKl1BmdwBv9hcBsNzIkJAn19CMqJTn7P86hu3Uro7LOP2/15lkXlF7/AOHKE2FVX4VkW9aeewjVMPNMk+/Wvk/7IR2j+wO+ftA2nVEKMxXBrNYzDh9EPHqRy733Un32W7m99i8iFF/yHHvMZnMF/Nzi2CwJUcjqW7mCZDkpAIhRTKWd1ju3N4lgurusRCMoc2T6Hqsn0r20m1REhng4SSwdRXqUC4ZXC8zzy0zWO7c1y6Ok5BAHqZfN4jhKAoknIqoRtOKcloE67XsEDz+/GP+1yPETRZ18SbSGCMRXX9nBtF71mUc7qtA/GaR+IE28JkWgJUi0apLujJNt+Pb/v3wQcz+O7+6a4r1wlU2rQcD2mgwL2Czqk31oV+XRPG7siAts8C0UUmDUt8pbNhliY9bEQZ0VDlG2HH8zmuWU8Q18wwKZ4mI2JMK2qwrcn57lr3ldvqIKAJgmcn4hQtBy2l2snWcakVZmbOpr4QHcLYUmkaDtkTZuS7bAioiEhkDEtujUVt25T3TaFlwiQ6QkTFASOTpUYz9ZYn7FITtQ56lj84zKNR5okNsbDzBkWs6bF5U1x3tyWZN60mdJNbNNh3+5ZPhCKsuV1J3JfbNd7WXswz/NwyyZ2XidX1JH7YhzQDbbunuHfHh/DcT1cz2N9TxLddtgzeXoVC5zCX7GlPU5HW4SNzVE8RWTOsLhz3yw9TSFEAYp1i7myznRJx7RdVMAEgsC7WhLccFYnNcPmgeEc98wUOOD64z4E9Mgy07aDhcdfRuKoksC8bjFkmAzjYuP5Aep4OAv71oJIMKgQbAmhNWkoC120K9pjXLmqjah2qhrvtoO3ceuBW5mqTvlZc67HH7W8leuUDXh7h/BcF88wMUdGcJMx6o8+hlCpQSjI+Ipm/nbTNPmYf/6/dsnXuLj74uPr/vZjI/xw+wQ//oMLCAdeGfF7uHCYWw/cyv3H7qdu11nRtIL3r3k/l/b4lh6mabJ7dDc/2fYTDpcPE8jv57VDSQxJIh/WmUhUeWqZgKH6+yS5EhGvhZLkq86SvZ/l/ouuRfsVOm+fK9V4y+5hao7L+liIiu1guh6zpnW88PxCCMBfDHTw6eFpPtXfzod6/cKj4zhMTk4yMzPD3r17mZmZwV0olG1YtYrVuTzi7l3oU9PULYuGbREfn8CRJGxJwgyoFJJJcskE9YDHYNUhKIhIszOEc/nj23fSaYKvfS0db3ojUiQCnsfE2D4eSkzRHuk4niEoiRKLE4sZSAyctP+eZWHn8yitrdj5PKWf/pTiD/4N89gxpKYmev7528jpNE6phFur4Zkm2vLlx7MdzPFxKg8/TPUXW9EPHMBtNMA+uaghxuME16yhtm2bb6eTTqMODKB0dRJcs4bZv/o0gqahLV+OpSg4O3YQf8tbEDUNez6DOT6BOTx8PDBc7e0l+c53ICWTeI6DPTtH7NprQRaQ0glEUcMzLZxcDrm93bd18jzcSgV7bg6nXEbp7ERu8rvNRVXFcj3evW+Uh3Nl/nhRK6brMWNY7K7UOdYw+fqKHjoCKo7n0RtUaVUVdlcavG/fKLbncWlTjB3lOkdqfqFREPxmgPMTEdZHNFYFFdqnj3FwZISOco7c1ASluRmqhTyyonLNhz/K4DnnnnTeyvMZqoU8kqJQK+SR1QBaJEKsNcrs3B0EAmna2t5AqbyT5557B55nI4pB+vs/gmlkmMvcjWHMAqDIrcTkN+LqSTSthWiym1TPYur1Os3NzfzbD37A4SNHuPY1W2gbSJDJjNHW1sHUdIkntu0jlysQVRW83U/S0rOIxedegF6pMLzjaUoZX7nVu2Yd577hbeRnptCrFVr6Bpg6uJ9Isok1l115vGDueR4//OH38Lz/S7rlGIIg4LpxBCFPIDBIc/NGPM/BtisYRoZq9QCuaxONriQc6kNV02jBLmKxNYiCQiTyq2WEvRCbnz7I4bp/7VpVmWvSCbakonxkaJyCffJcpTOgsCwcZHU0yGAocPx94QHLwhpRSWJrocKTxSojdYPBUIDrW5IoosA/T87zcL5CVBK57awB9lcbjNQNVkSCbIiH6A/6mZ13zhX4wIExejWVD/e2cm1LgvftG+XRQpWYLCILAnnr9HOozoDCeYkIX1zajXYa9ferRqPoK5tCqV/+2Rfi+ZrVC4kSowKZIV+NZOsLZFIZ4l0+4RNpBTV8ik3gvkqd1z13lIbr0msX+NuRb3DpzP0nNiXKCEoY2lb7BFOoCYJJvHArEwWYe+x26paILYVxa3kcxyHV3ka7ksMszFKbGaZQ8zhWS5E1/HlhPBGhva+PjsFBEp297H7sCSKpZi59zwf8sWxW/SypR7/oE1dG+aRD9wCxdSU09YNRhfIU5I5CIAbX/yN0rveP9z9YveRZFo29e6k9+ST60BDVhx4GSQJBQO3pIbxpE4Kq4ho68auvJrhhw6+vsJraAbf/rk8Wxdoh2g7ta2DdjRBte+l99TwaO3dRuf9+nGKR8EUX4jUaNHbvprFvH8bhI6cllKSwhBiQERQNNeVn4noISKEAdsWkdiiDHA8QXhRBa1XRWkQCTSAlWvHSK7GEDoxygNJDT+LqOvHrryN62WXHlVL69kfwDtyNK88x3fsOMmIXxUqDUrmBNDNFIVtksmQQrBZJVPK4wFisjWNyjIbl0mlXWGSVCOo1ng138UT7Kn8fX6bMq0gCmiwhSQIXdwms7OtCVjVc18NzbBxEKobDfftnOZJ5sTofVFlEAIwFIuv166MUgz9iqnaMojWL6TYQBYnLm9cxZ5XZWxrGfkFuXFcwTdmq03AcyL6NfGY5165p54vnNzF67bVg24ixGN3f/CdC69bheR6jb3oTbrXGwD13s71mUHdcPj8yw85KHYDNiTDr77sD27a5+eabfbvBF8HxPH4wk+fK5jg5y+Z3944y0jBYEw1y39lLEAQB3XF5z75RHs5X+PKybt7e/vI2vs9j3rQWGvVOnSvWnnoKpasbtavzFa3rhfAch+rWrYjR6HH3Ic80Kd11N7nv/DPm0WG0lSt9ZaCqorS1Ibe3EVy9hvkLlrGjcJBbnvs2dbuG7Vh4gsNZ4xafuK2BoKqk3vseopdfzqPaGD8evpOpyhQxNUZUjRKRAnjVMu+8yyD46M7j+yQoCvGrL8VdHmLr1KMcSFaYkHXmRIHlZYvJoMSGssh0UiZg66iuzYPhEA4QdQUGclfilhJ0McOF8k6WehkeCUbZmgggOwEkI0hBdekwTOYJE3c9lto1zqLAExGLXrmLcxddTTDZhhxOIYaSHLLbWNSepj3+osapow/Bj38flr/Ob0aY3uk/Q3LD/ruhdRUMXuqrcTMHfPXqsmv4pwf/mFsWLKiTgkq/q7KbCh9oKNzYAHvzR6kt3cLWqUf43NOfYzC2itlqHscO06jHkNwUwvgADTdNctEE6ZYRss4+XM+hahdJB9N86eIvsa5l3aseE/9TcYbUOoMzOIPfCtxajcbevb6v7NAQ+sEhzJFRcF3URYvQVq9GSiQQRBFrdpbKffcRWLaMQH8/xugo5uio38X0MpA72hl84AEESUI/dJi5z3yG+vbtiNEobuVE55sYj9PykQ+TfPvbf9uHfQaOk6X9AAAgAElEQVT/zeF5HpW8TiQRQPxNfEn/T4ZjucxPVPxco9TpLZ2Mhk12vML8RIVipsHQtmk813vJLz2iKCApIoIoYDZsmrsjyIrE7MjJBfxIMkDf2jTRlIYSkFBUkXrFoqkjTL3s5x1VCjqVnI6kiLiOR6NsYuo28oLCyrZcAkGJQEihktcpZeoU5upU8363dPtgHC2sEIoHCEYV4s1B2gZimA0HvWZRyjTITVU5smMOIWLzaOAuJFGmXeqiqdKJNp+ioubwBA/RkxBUD0VQUSu+ZVklmGNH+wOcv2YdH7j43QR/w7ZYvy2UbYd/mshwqKaTNW1kQaCgWxzQDfqrDp11j2h7hN5QgC5PIF8ziYxXuXKohvL8dZcFBEFA7Ymi9sSw8zpu1cRt2GjLm4i9phsk4bRFiNxC9sGL1TBZ0+ZoXSepyDQpMilZpF4/iusaxGKrj3/ONW30/XnQJALdUWrb56g+MY1bPk02hyigtAQRggrhDa1UHp/ix4LBV1YGSSPyyf066yUVQRYIrmomuCxF8Wcj6IcLtH5kPUrLr9dNbjku533uIVpjGhctTmM5Lk+P5hAFgStWttEcUZHJk8t8H0cfwvVMpqvtVJ0OArKCqqiUzSRPTXRQNRXqL2iyXd4ew7AdZFEgojqkIw7NIYPuuMHTR9KcH43x1FSRh0o1kgjU8TCAgCDw8XN6OSccpK1q45ZM5OUphJUpEjF/DLu6TW3HHIGeGGJMRYqpuFULO69jzdSw5+vErliE+EvI6ZpVY/f8brKFaUb/5i85e0JBTiSQkynCZRMO+vkFyDKCJCFIEsqiXpxCESkep+n33kf9mWcp/eQnOOeexdxHX89Xdn+X8coEN664kfeuei/b57YzkBigL9530rYP5g/yD8/9AyWzhG7rNOwGDbuBbvudnA27QdgUeZuzjsUFjW/Ed3BUK3GWfBbZcpasmsUUdfrmoLXg8Ud3eciq5nc6LxAmjiLhyRJmNMzRvhDP9loMt8U5Gh7FDKxgcPCvcWs7KBQe4f3LrmW4PM2jU49xWd+b+f1lV9KmaYyWRvnKzu9TkeL82br3UrEdPn10gonCfjbIaQ7qZZa2LUMRoJKZo3XnU0QjYRrlMvlwDEuS2Ne7lNmwr/746tDTDMxMYjgO8/U6eyMRHFmms7OTvkWL6FJVUvkC1VtvxThwgGpziLm0guxAqO7QlDUZ+cub2JmsMW1MM1mdZLo2jeVZNGlNdEe7WZpayiXh9Swdc6hPjjN0aR/7y4cYKY3QsBsYtsGu+V0vOS4+f9Hnuab/mpcdO57nUX/6aaY/+jHsTOb0H5Jlv8u87henAosXE1y/HjESJnTOOeB6qIt6Ubq6juc6OMUinusip04ujteeeYbK/Q+g79uHOTWJ267g7psFCZyIi9PiYbcISGs6EVwZ5Y4ZxMypXe8AnuSBC4LnP+OEaAgxGcOZz8OLM4SkBeYpICPEgpCMcd/gWn507vkMiHOssDMstubAavBAaAUPpzZRVPwGrwAetueR8hoIVp2KGKanOEdHrYamKFw4N8IDapz97f3kEs24kozk2LiCyGt3PMx6Tyfe1IzW3MzEkd0oO/ey7ILNyIpK2+IlzNYNbjk6TqhW4LrEv6PFTeyGjCB6xHpqCKL/QlCUJiwrhygEWbniGwzt/Qy2OIKATEBchdBYztHHjzE/nAfv5LlT57KVLDn3Qsb27mTy8EHyrb1+A4mi4AonPhtWZIKlLPrYUc6++jouevu7kBeuqV6tMrzjaQozUzx95+281AQl2pSmY+lyulesZtVrLqNWb/D1r38dQcjT3T1MKDRHMHg1m8//EJnRYTKjw0wdOkBxbpamzg4Wn3sBTR29ZI6NoFcr6LUqRq1KurePvrUbcF2XeNq3WXJdF+k0xdGXQta0WbVtH4OOzvv1LJtammjp7iHe0saMaWF6Ag4eR2sGR+s6uysNRhsGB6oNXpzO+MKmiKSl09moMB6MUVb8YnhYr7N5+ghX6gWWDA6y9vJrXpIweDhX5vOjM+ypNI639PxJdzPjpo0qiiwLB1kVUlFcm6P5GTpndrMof5hAfhSzXiMbWEyLc4xo/jkUu4KEhYeIqbVB63LC596EMPY4jD8JxXE/G8oxQAn5RcJwM9QLcOwxwIVoh79MUvysKFHyrfcyQz5pI0oQ74QL/xQO/Rwe/5JPLi29GjrWwdiTsOc2/39/CTxR8Umfyz+L0DQIgRiPTY5Qe/QrXD7yA/A8nqst49n5NHrDRgqEUEMhtHCEcDJFo1LGNnTqpRJGvQaALDjIooskuAhA1T5ZuSFJIumeHpZvuRzXtpk+cpCZwwepFvwmAkmWcWybvnUbSLZ1UMllqeTmcSyL0vwcWjCAFgzguR6VUhmhptMnqCSOHkNTVSKtbUiWgWKP03bWNErIhd4L4LJPQ/c5/k7M7YdIG4RfWVH+1cCzLKY/djOVrVv957YgoKQ0QvEsYjgBq9+MOTFJfft2PMtCUBS8RoPgWWeh9vfjVMoIkozS3k7k4i2oXV0Y2x/G2P0EcjJO7EOfQzAr8Mjfgev446d1la9c+8kHfTJv0QW+8qw87VssBmKw4d3g2D7hF0zARX+GOTNP7elnKdx5D8bwBIIsIQZlnMpCBl8AtJRFMKETajEJNplUjTROOI4cAk9T0fR5AnqGipzCElRkz0R2TWQcsFx0LU5DDFH3FGquQsUSaSNHrzCLuHAXF4Pd7O55F8VyBTdzkHYvQwcZutxpfz/wGHVb+aT9Xsa9Fqa9ZlxE4kGFlR0xwgHZzxdEIKhKpMIqUU2motvkqgaCIDDYEqEnFeJoxndkSEp11EaGZgqsDswh6QWCno7m1hHMKvVahsfmtlORJNKuS7tp0uo43JXu5h5NYllyCVvO+jD1Wh8INnPu4+zK7MYobKQrtJzmqIwqbuP7I7dQdA02CmG6HJduQ2dDucjSup/H6AIOYAkCliAQdV0yksSfdfWyW7RZEbqWp3ecx2XL2/loe53Qz+6g+UMfpNa5CNNx+Zdtx7i0cJjoZ26m9ROfIHXTjXiex18dneKbk9nj4/JLqk5ro8pll112yph95+4RJg2TQzWds2MhDtd0AqLIxniYe7Il/qinhQ/0tPAH+8fYWqjwxaXd3NBxmntn6jl/bOVH4MlbfKVk2xpYdo1PqL8IxTvuYOaTnwJZovub3yRywcmN1061RvkndyCn4gQGB5HbexHCYdxanfJdd5H77nd8G0BFIbJlM9gO+oED2JkMgaVLSb3vvTyyxGKuPMoVqdVkVI1ncnt5ZPxxhgr7AIjpEVbbNm1eHheV+wMh1k/G+dKf3M4D2W38f/tvZahwkAQxWsUOgtY4hlOjgU1ZEimKIgETPng4zqLmIE6kwJcDNY6pCqLnkbIlNCuAYEeYjeSQHAVdMXDNJCAiCAau3sUVzjl8vPzPtDizx4/fiPZgtp1Ndm6CUG2aMFWCbg3JczCkCAGniifKkOhFaBrw7/ORrb7C9YUIpnxyKpj0MwmVkK+ife5ffcK/4t9nBOL++6BpENbf5BPip8PwLxh76FPsMPPsEEz2qgqjqoIoiHSEO5irz2G5/tyxPdzOTG2G9S3r8fCYrk4z35gnKMZIaz0cq+0hHohzfvv52J7NprZNvHnJm5FejdXsGZwhtc7gDM7gNwfPspj7wt/5JNbevb4kH5Db2tCWL0dbvgw5nab0s7uO+0V7rgu2Tfi882js2oUYjaL29xHo6yd03rkEBhdTvP121L5FfldXIIA9n0UfOsDMzR9HUFXU3h6M0WNIsRjJ33kb9vw8SmcXgaVL0JYtQ25r+y/nr30Gv300Kib7H59GkkTaF8dp6fXt5crZBo2qRSWnI6siqiZRzuoIosDwcxlGd2eRFJF0d4RwIgAe6DWLmeESgiAgyT6p09wVoakzQqojjNlwqFdMGhWTRtmkXrEwGzaiJCDJIqIkIEo+CRSOB9AiClpYQYsoDJ7dQqw5iOt6OJaffTR9pMjkoQJje7OYDV8ppQYlFE3GrNu09ccwGg5aWCYYVQlGFWTFnwDVyyb1kkG1aDA3WsYyHARR4JoPrqF9IE5uqkZuqkp5vsHhZ2aplU4U4ERRoH9dmlg6SKIlRCAoI6silulQL5koAYn+dWlUTT6+LS2iIIqCTyLNNyjPNyjNN5gfrzC6J3t6S74X4AWOVWhhBTUoYS9kSUmyiKnbuI6HGpRJtPgqsI7BBK39ceZGSpSzDeaOlZkfq2BbLy79gKSKhJdEyB3Ooph+gcwVHXS1SmXZGGdd0s1Qfoj3r3k/LaEWPM/j2R37+cquLxPvVXnP6vdwTts5L7n/nufheCCLAgXL5tlSDWfhgLo0lbzlsLdS5/3dadSXsUvNmTYuHk8Xa2Qtm32VBp2aQm8wwCWpKHnLoS+ovuyzrGTZ7Ko0+JvhafZVGwyEArSoCo7nYdUsrthd5n0X9qMuiiMnTi60uIaDcaSAlNSwZmtYszU828U4UsTONpBSGlJUBRHM0TJya4j0+1b7f3sFcJwGlcp+qrXD6Po0hj5NpXKQWv0QAEH6cTGxKeJ4NSQjjicZRObX4yhVnGiFeMtq0vGrsTI1yu525GgQORqlveONBIN+l6Nnu5QfGKP86CR4oC1J4lkuXsPCmq0f35/EdQNEzus47b7ajkuuZtIwHXTb8X9bLnsmi+wYKyAsFA8EAaqGzWNHsnz7pg1ctqIVz3PQ9Vk0zbcDy2Tu48DQRxEEmba219OSvopKdT/VygEsq4hlFTDNHLoxRcOSqLEeSXQRvTKpwDzRyGLKlX04zskdsYFAG4ODN5NMbGT3tML/+cVRWqIBbji/hZgyQ1NyCZ41T70+Rsay6Ai1oMgRQqE+co0cI6VhuqI9tIZaT/vlqWSUyOs5FsX6ThpzE5UJvj/0fZ7LPEemniF5dJ63P+KydNJDcUDbfCGiZePkC3imSfyNb0Bpayd21ZUILygAe55HJnM35fIeFCWJ8/3nMP/1ccxFLnZY5s639HOncQxZkLE9G1mQ+dS5n2KqOsVcfY6cnmPb1DYSgQQXmL20Zh3EoIYUDCGHwtT1CivuPUzvrtnjFj+oKsMdKj88p05nPcKqfJjFow2is35xRenrIf6NP6YhZ6gVhqjsfAJ5RxnPdZAzAsohG8FwcYMiVUnkT97jUU204VpzeIKKsGBV5goaoqfjyC2EIqsxio8APklWi12PK8VR9T0EGjuPkyItjRaEBbWcGlNZ1bWKUr2EbMtEvSizcyZT8nredef3OfvQybZXlf5OUje8G/PQLpy7H0Su+g1BhibxlWs9Di+PsaRpKY7rkKlnmK5OgSAgizL98X66o910R7vpiHSwL7uP6eo0+3P7fVJQCROUg2QbWSRBYiAxQEgOUTErHCsf40sXf4mB+AlVluVa/M3Tf8OuzC5e0/0aGnaDvJ6nYlaIBWKkg2matCZ6Yj2sbF7J8tRypLFhCnfdgaPZCNEAbtC3lFMmBOqFw5i1DHJ7K01XvYPmFVdRrx/D8/yCQTDYiyxHeDl4nkex+Cy12hHUQDPh0CATE99lavo2ZDmGIMh0dr4DQZBwnBrl8l5suwKuh5GbRKy5YHoIlkhwWENSU5BXcDwLR2rgRDPIkzZiA5wEOAkPJwGh9FIYK2IXc3iKh1yxkasCUg7EYxJK1GHgygyCCIYuYlQVNM2mKgZ4vHuQHQNLmQh0s2R4ktdsf5xgxsGT/HWbcYVaMoJebybV6aCmBFwzwdhslPCuSYqBZm7ddDnPLT/RLCB4Lu8dvYXcoQRCMIyr19m+6UKmEj14gsjF3oP0yA4VR0D3RJrHRln0zCFa1+ZRgiq5QwrliQiOIQEeatTCMSRcU6QrVOKC9BhtoRpWajlC13rMcDdzZZHHHniCfMkg3tJGz6qzUNs62XHwKHqlhDx9DDcQRDR1Qq5NNNXElhvfS9/as1/yes4OH6FeLtLU2Y2kqOQmxmnu6WVs7y5GdjzD1OEhqrkszf+PvfeOliur7z0/++RTOd0cpaucpVbnTGqg3WAwYOANwWAMtmfN8/PwHN44LNvY73keOGKPbYwHB7INJjQdaOhuOidl6Uq60r26+VbVvZXrVNVJe/4otUJLQIPfjGfW9HetWrqqqlMn77P377u/3+/IGFtuvp1OCH4kRtMPaLVa7BgZ5Luf+nM6zS4JkR0eJT0wSHF2hmohjxAKUp63q1UUDMu+QFgAaKaJblp47Ta50TEq+RU0TcOKJ7BjcaxYnPHd+9j1mtdftt1fm13kw9NF3vWvn2J4ZfbC+4qqYieSCEVBIOgZGyeWyeK2Wrgth+OTk7QN88WLGSkEJzbvQ4QB16/Ok+s0URQVLwhYGttMeniUdWtLtIt5qoU8tWKe7Xe8hlve+V4My2L5zGmWT5+kc+phkgmTdmYHbnGGotKg5a4xXJxms5xHqDrtyDCBVKFZpEddJaFftCEOzrddqpAEUrDUSuIQR6o6auhihHVGIlUUAaGEUidC3TcZjlTQlSv7hecPOeLFCWXy8v5cIAVeqAACU/EvCI+kBBSta+grQ6SEBSfBXDOFJyw6ahzH18hXIaK65MwmtuqjKwGm6rM3vYymhIRSoIiL23Ws0sfxcA/RwQliioPRWaVerdGWFlVHgmYSz/WimzZWIsVQvM3603+C8YbfQwzugZ7N0Cwyc+AZ2tExEqkMkUyO5EA/QigUy00a0+fQ1wpYfX3IbJJ2qYhlx3j26WeofPkfUf0AEY2hxhIouQzqyAh4bWTgIxQFvd5m+Bv3YbRa1BMJmopECQLUZJbM2ip63GLo/bdgF7+CaBWhdztEMrjHn0aN26ibboOeLd1MMEWF130MHv9jKJ9DOiWw04idb+sSRhte0y3YXwIvX6B18ABC11HTGbRMmvJnP0PpH79I8sZ1xEYgEj6Pprm01r0We+ZBytm9NNLbaMYmaEXX46Q2kPn636B+50nwPVQ9RPrgN0LkVcLaMjf1k9vlUn3uHIppoJsNrJSHakpkbgeV+HvASKKm0zRn52mdnSQWHiGtHcD3LepOH1aYx4q2mb6vFxkKzKRHemOT5FiLtmbjz4dUIzGOp8ZZoId52cuCzDEvezkjhwi5vC9v0UE3IyTs8za2UlJr+zQ6PoqAXMykL2HRlzAZTkcQAkrlMkbpFNn6Sd7hfZ31SreY31TilIwhilov0+p6nk++jluzDd5w6BdRzj/3gvR6wi0/geY1EcVTXfVe4IIR6xLFXrNb4O/d1lWgaBac+Cqc+AaoWlfJGFw++UICs3aMx6JxqqrJF3So6leOqQAGWxqrpoerCPoxCQkp4GEh8IXAFBrNsPv7457PfwuSbJdal1yI5iCSg+H93XtcM7s5cqJ7byME1JfxHv4DPmG4fDYZZ1zdwszUBxnLRvnaL97MPz09y8cfPI3rh7hBSNLS+PLMF5HHj7L+W/ey9NH/TL5/gDe94Z28tS/Ng6tVXpdL8pfbxoDuBIOsriKEIN/x2P3kcaDrLuFKyY6YzWd2rqPf0PmZYzN8e61GTFVoBiGf2DLCuweyXWL4vl8Ft3lR9Tn9SHcfZNC1AX1RJZochQ/c173PnvgzqM4RVgpMfVbBSrt4bROlZ4yBP/wE+tAgiqYCPvPvejPOmcsJmuiN+2kdPETY9jEHLIx9Fu7hkLAdoERi6LkY7g0DTI6HPNSY4zveymXLK1KyrgP3NGv0ejqva69iptZ17++z3+Ef/CL/PXvRnnTIFXy4usqbG00UoCiTPBtu5pw+QV6LciL9HSLS52D04jjB9HXMyjUkzNexs38Tm/ribOiNcWQpT0y3afse14330XQD5taarO+JcfOGXHfSwvQj3Ws4Pd7NI3zpmFdK8Fp0PIkRNhGR9OWKWymhke+qq1rlLsF1+ItQON6dPBFJg9fu3jPrboe3/g1hp4lTyiOSIyi6jhmNorxcUklK8ByaAj515FMsNBYYjA4ykhhhND7Kvt59rLXX6Iv0XRhLTVen+eWHf5nZ2iwfvfajvHPzO18hsf6NeIXUegWv4BX82PDLZeoPPcTa//FXBLVa16/ZdbG2b8fasYP4a16NtX37FbNlXwop5QXblpdLPkkpqd37LdonTuDOzKD19dLzH/8jWvoqPuGvAOges+JcnexgDFW/2CH33OD/Nqu4fw+EQcjD/3iSsweLl1nPmRGNRM6mOFf/vssqimDPa0cIfElhtka72S1EqppgcGMKVVMIfYnnBuRnqlQKLQLvxeKHwI7rRBIGdtzAjGiEgSTww65dXyAxLLVrldf0aDc83HaAogrCUF6RF21YKuO7ckRTJl4nwG35uO0AIWDxVJl4zsZr+zh1D/+S/VRUQSRhEEma9IzEGNma4ZmvT1NbbRME4WXrGduZZWAiSW4kTu9oHPtlEhQvF2EoL1gAep0ARVeYfHyJ/vVJVF0hnrGIZ0x8L0TVFWQoWThZ5uwLBWaOrBJLWyR6LHRDxal1qK12lV2aqaLpCq26h6IJekfj9K1L0jMaw+uEzJgu/+JVORk0WQxUPGEhwhYDss5dg1toIqn4Abaq0GfoRFWFdhhiKQq2qhBTFd7alyapqbjyomqt6gf85VyBf86XaYUhXijxzn84ZhmUPJ96cPVB4LsHMry1L01cU/lqvoyCIKoqHG+0OFR3WOpcrghIairV83ZE0fODqR0xm40Rk32JKNckIix1PE4220gkX1opM38+ayqjq/zJllFel7uY61F94Bz1R+cZ+p2bEfrLVyFKKZFeeJlipzW5xtpnJ8GX6ANR0EKc+BTKiMThNJlNNxAoDdrtZdqtBarFIzjBWbrzMUEIDdPsR6tliJzdTai2cLKTqG4U1U2ghBZifZtAbdHwjmHa/Zh2D9XaIVzPQQhJw0uhKT4KHTxlgv3b3k82fT22PQKAX2kjNAU1dvGa9vJN2qfKGKNxyqmQB47N0Ql0vFCn44W0/ZDpQpXHzqzRubpdO+tzFrqqnrf9EUhgMGny8TcLyqX7KBTux3WLxGLb8LwSnc4KicRudu74JJZ1dRINIAw7LCz8E6XS46hqFFWLIkOfRmOSZHIfyeQ1mGYfhtmD71U5cPzXWWvOsOSpnGWMyaZLELbRQoeKH9KSAktIDAG1UNCjhQzrIWc7KrXw4nNWEYKUEcNSFNzQxw183NCnEwZIIKZAStdJGzZC6BytrZFpCt4+FWHHUYfeBQ83beC/6mY2vuk9JK6/8fteR47TJJ9/nuLql/G8E3Q6c4AG+AgXEvdGMM6l0ObLSMVn5q6Qz++O8Hr7Gj5ZfB5HD9GERi6SI6bHEGfO8TtPjaAdm7r6OjVB5RaNzuYAmfVQHkqSOuJinr9PRCSCtWUL0XteRT58mHzvU3D+MleFSSq+FyMyjKIa+H6DVu0c4YEFzIcdzGMhz1wLf3eXwjsrHqmjG/ira2/A7KzxkeUXODkRcK+lUXcrDDvD7C5MUIg8wXO93QtLADeLIXrXdMYLOifMNVL1kIGiy7ZTTZomOEmLphoQuh2EhD0zkpYBD9xk8/zNOWqdKhtPNfjggyGR87XmJ7YKJsdUFkYspjIdfmHfh3nz2I1kE7tQzucQnC6fJm7E6Yv0YahXb/PbfptnV57l4fmHma/N84EdH2BbdhsxTafVmqXdXiE0h8lFh1HVCGHY6Vq4NU+zUjrAF/IlXigcJG2mSVtp4kacsrPESuMca+0qtfPFSgFsMANek/AYN0LMlzRNQmjEYltxnLO0PIdznkE76F6bBV+gASkzRsLMMN9usebr3Jgbx7aGmG8WmGvmma0tQNjilphPrx4SVSSagGz/T3P91t8iDF06DZ+1hTnqq0XajTpri/MMb92BFYth2BHMSJRmucSppx5j8vFHCIMAQ/FJ6B3SlkN/pkpabSMC8EKVQLEJiWKoIYPaCglRu2y/avMWi09kaA+BqAnM+tXyGCWaLfEdgVDBTHjIUOC3FAL30j6bRCggz9/XihGCkIQdFd9UkIqCbxl87ta7+afXXxI8LgRChvy++0ma3hhLNYkiA1qqRVOxmLMGiLYjbJYeNyyfpX9iI7F0mkcXjzOrtNnaWuS6ylEm6ifQfYeanuTA6Ou5tX0WtXiya5t2HkFiBGXDqxGa0S1WDexGjt5E22miqiqaaV4sIi2+AAc/e9Eyzm2CbsO+93Vnv6fH4af+9mKxq13tFqkuyQI689zTPPb5v6e0OH/hvZFtO0kPDnHkofvpHZ/g9vd8gJ7x9dixbs6u73l87eMfQ9N17njvz2LHE+iWDVLy5Jc/SxAEpPoGWFuYo1avUxAqyvIC53ZeTxj45CqrpFeX8VfzVPMrrHvLuxi98TZ2DA/RXi3wc1+/n8fX7eTJ0Sj9Q8NUlpdYOTtFpbBC/uwUiqoSSaYozs7QKK9h2BFUVWNi3zUMjg5gKBJD8amUqhTm5xmN1VnfE3aL04HXLQ73boNG4byaaQSpGjx2/6M8f2gBW/XIGU1ieoeJ2BqbEmtXvfeDUNAONdxAxVRD1POET80zqfk2Gh4RzScysIloOoVSOIHnS1S/geJfJP88Lc5Zp58z5QirYQ4zlqC4UiYeNXnDT92CaelIRUOisjpTxvk/70MJApb33kxbNXBiKdxmGbN0EqmuUSophELgaSo9ZoPxeI2FVorlZtei11ZdUnqLfDuGbkeIxyyE38IIGui4JDJpcq1JQqEh44OE8SHC+AB0msSCVWjkEZqGEu9HzY6RS0dIFR+Hme8hJQRk8M1hDLmIIh3wLyrBPEehPm+zejrBSmIdSxv30Ogbhk1b2Lt9FD79V1iPPIgIAxp2goKZINdcI+lenGjjCRVP1Yj4V+aXAoQIPEUlH81SspOYXoeJ6iIN3eZ3r38/p9KjWGGHW0tPsKVxmqejt/Drz30R22sjxtcx9Mb1WOoMzSNnWH5cQVgaiQmIpYp4dQXpC7LbGjSWbeqrvTTmQkxRsPQAACAASURBVPA97GwHt6aTujZN9v0fIlyaxD0zSXPBpfDQCvhX9nnjY22GbyyxSpJvyZv5l/AODntD/Ir2RW5SjjMhloiLy5V0nlRZkDnOyX5GlSJJv8HZyQHcSIJTfZt5JLqXnz36RfomF0BIkJfk6pk61s3byZ9tkpq9vD/QUg3s4EqVfy0awW53+Optt3EqNYYbHcAxe8GIEgnqrB/uZ11vkpipEjU1oqZG3NSwDRVFiAtDKUWArauM56LoL3H4aHR8LE1B+yHOH8VqE6U6RzaT65I+L6mF1N06VquGujrF/KlnWX3+7+kLytSUKJ4YRWhJpNAIO00aQZO8qeAHbaJekYTaRkqVs0aU6d4+dloZBmIZlGiaFV0w7dR5vHmGcqtKVVy8fyNtlddOjWOWPBq6S9P2aVo+qYbBcNHG0yVzPU1mBh0UJeA3EzYbmlU+rXSfdclQsj41wZ33fAo9+2NkSblNeOav+cyhv+QTCZu9vkH/wjYeM97PcrXN7RNJTi5VSCUSLFVa9DeK/OmD/53o/n04Tz0Npskv/NGn+K+6y/39o3xqaY0vFaZRn3yC39h1AyPX7ue9g1mON1p8bHqZdw9k+OBwD6eabe7KJS7kVwJ8fnmN35ha5A82DvHTtee6BMljf9x9Lg3s6mbmeU73bzPRVWjt/0CXTDz1LfjCuy/uV7QHhq6hdiZk8XPH+Mq7e9m3WmD8wct3X2gh0lcw3jBBfXgT6tIKsWeepb2qE+qST7xD47kRQAg2djzudBzmdY3HbZv6+evNDCWvq6qY1b2cyXTYJuC2doU+Q6NveAPx5afgto/Czrd1VyolZz73If649gipIOCeRpONYRayG8gufw+ZGmPlP3yXdCqNpas4rs8ffGuSfK3DQ6dPYxhtxntUXr95Fz9/6y4s/d9WW5JScuJ730XVNDZefxOqphP4Hl/9w99l9shBDDtCbnQcw7JQNK2rcvU87ESSVq0KQqBqGoMbt9Bq1FE1nVgmQ6fZpFWv0arXCH2fM88/jdu62B7Fsjl2v/r1jOzYjRACzTDQLYtkTx/Kj2E3/v3gBu737YO/gh8Nr5Bar+AVvIIfGX65jPPMsyz/5m8S1utYu3Zh79mN0HXsnbtIvP6uf+9NfAVXweHvzvP4l6ZI9NiM78jSOxbn8HcXKM7V2XnnMNtvHURVlQuE19RzeZyqS3Y4Rn6myuyxNTIDUd74C7tQtf9nrPncts/x7y1RzjeJZyxyI3GGNqbwvRCn5jL1XJ6Zw92AeyumY0Z0Ai9gfrLM5hv62fvaUSIJg4VTZRYmS1RXWwxsSNEzEieRswg8idv2iSS6nYpY2sSMXJkV8/0QBCH11TZWVMeMdP3UfxQ0Kx1euO8cZlRHN1VUTUEzFLJDMfrGEy/79zw3uECumfaV21Gcq3PwwVlS/VF6RmLkRuJYMf0CmVlpV/jO3HfYkt3C9uz2H2kfAJrVDq26S3GuzupCg4GJFE7N5YX7znVVapqCqgo8N7hgHZjstbuFAi8kmjTQLZX8dA3fCzFsjfGdWarFFm7Lp+34xNMmyd4IyR6bTtOjXu4wcXsv2fUZDjeqfGPhGPctn8LVhmhrgwjponrzpKmSVVuca7n0ZG6jFFqkNJWUruIEIXnXxwlCbEXQDuWFgeqEbVL0PGovGbArwN3ZBEO2iQZdu75QcqbVwXJDfmJNEu/OGWZeBJidkO+aAf9sXSQedSFQBHRCyTrbYE88ws54pJvHlIiS1lW2RC1aoeRgrcnvnJ5mdyLOSSdgqeOy2LnSEuv2dJxb0jG2xWxuSEWJqiqdTp5S+QCVdoSZb6+y6FSpbxpjuVKmP1LE1DxUETJdTiBkhVdt8LD8h0nFh4lFN6LrKVbXHkHXM/h+lSBwCAKHWHQzrcISylwW0i4L6klmWylMtUMnMNmcnkJTusdNdZME5XWkGiNEa+uJxbdBLU675rPm+nxjxOSUGnLLRI5sxCBuqcRMnYrj8NzkNFHVZ65QYr7q43gh82EWS3i05OVKs6RZZVPqLLYZZ0OmwcacQyI2zoKznelCnqliSCB1QqkS1cocXTFpehezzgQSXQ1IGHV25Y4yFFvGUN3uS/FIRHuJiGl67bkLy1jWCKbZS71+lDB0URSTbPYObGuY5ZV/JZ2+gWhkgvHxj6Aol2/vj4uG2+D3n/l9vjn9zYvbIWCT5WMqAqlm6YmNkdYUHAycUGE0muXJ/FHmGnn2Z4aZiOYYETbnKoeRJ/NkzwgSa6DK7ksRAqIWtogxnw2Yz/iczXhUVZ+3HAvZ+4SP6gj89Trh9T2U9i9h58bo6/09mk2bRCKBbTu0WpOcOv0cxeIssdhpLKuKqgb4vk6t1kOxOE4hvx5FCVBVD8+zAEG62eCOM6cxJqeQMQ3R8HFtyT/90kY+MHYn9ukC/olZvMcm8RRB/c4OwTYXPFBcEC54vomcaONGN2Dbw1haSL39BEpTsEX/ZVIb78SJL1GY/xxL1e+ClIwttMmW2kRaAYYru1ZcZhJ0qzsTN5KDeD/N236O+Y//EeG3TtIZimItdAtBnqqiSIl6Xhnm9+Vo9Oskjyx3a3CKoHTPMLaZQD0zg3nAueL8SlXS3tFthUwnheIKAtXDq3cwVwMe//AWbv/Ju+lP76fj5qk4K5yuNzn37a9BY4XhGxqkjBi6nkazN9CqPUMQdNejKBa6nqIn91oMswfPK3c/kxKJ7FoX2SPYkXE8r4IidBTFwGnNUSw+QKeTx/NKL9liBV1P4nnlK/ZF0+JIGaIoJlKG+H4FIQxyuTvw9UGmqgtM1vI8vLpCyW12169ZBDJAV3TeMLSX8exeEBaHiwf53sL3aF+lOHkpTEVclkkWVST9hs2aK6iElxdRFRT+S+wDWE89jqjMoSshuuLhx9povsHR5a5dUIiCofgM2HVitmBbb4NepYj1EvXkmprDCQ3soIElO2giwJUaeTfBVLuXpm/Q9A2qxJiLbuaep58k0awx3zvGudwIk7kNxApLGEGLTLTO9vosWafGdKSfoxtGiESLDAVNBmSbXr9MT6lCK1Dp1A1EG/SITxAT/Gv/zdwlDzE6k+eb7deQkTUGy4tEl+s8/ZFbeYt7L7FOm2Ysiy4hUst/3+N5OjLGZHQC5W2f5i5RxLn/fyM1/e0Ln0/ZozyZ2sPj6X081XMLJXT22II/2jjAZs1DrJ4mKJ4ifP4zaJVz3WkA/nlr8bd/Bra/pTvT+cUibvE0fPq1XZImOdQtEBpRWDnSnXVtxMGtd63merdCdRF55IsIJPl9Hyb7E394IRdRSonf6eC2W0w+9jAv3Pd1Gmur7H7tG7jjvR+6YG34w9AOQgquR0xTWXN9Zlod/mw2z/M1BwWusAbcEbPYcPowX+/bQKiqCCmJdlo0rAjXiw5fS5zu2lO1yt1XuwK5zV0VzOrpbg5Up3bx3/oKV8x6AhBqN39KNboz1Tv1LhGoaF0FxCVKp6pMEaGOLrr9EImCyE5QUvpR/TpaIoeT3kyl9zrihRdwqqsk9JCcu9htH8wYQXIUvBZzqes5ou/hZE1nqdSg6YY02x4jpw5gVteQrkOgqVR61pFdmeOas93aTSGSYl1tidF6EUfXCYSKEfiYQZfob2k6gRBEPfeKZNM1O0qq7aBKSV23WYxnObB5IyKe5JrjR3B6evD3bSNhKdTbBkzOghVBHx0jlrDRp05hTE0S3b+B9esbRBunMavHuzZ2LyK3Ca77ua464MHfQJbnqLQHOXOwBy3fwOp02w9fUambMVQR0LYtnIhNfyGP1XEpplK0lRiD5SXU88c/QBAKhQfGr8OLJhjDoc+tYyYTdPbfSDOVg2IBc24anCad/mF6ZZvUvt1EJia6GdM1h+KDD6HUa6iz0yi+R2hHCAaGyP38zyNyOfoSFnFLo1yq8Plf+gBqpp8zyT10ZpZ426lHGG6uEgqBIiXLkQyLsR52rZ7FCC+ZwZOxoNSmqVkc6tlAT6dCn1NCkwFRt41mhfiti0VdrScgusfDwEPtBCgdyZKV5S+2/Drjo6M4ehKh6CgC+pM2e0aSmJpKGIYo9UXM0ikia0dppzZyJH4bnfOhqzOrTRptD01VOLfmYGpdq72jCxW2Pf1Nsk6NJ8auQUZixEsF3nn8fjZW5lmOZjlw0z2s7bgGvV4lmkywfscEybkzqIcPIHp6iGzdQuSb/4J+6HnE//Qz9L7rp8lEDTRVwW23mD1ykMD30XSDaCpNoqeXSDLF2cpZZmuz+NInpsdIWSlSZvelCIWH5x6m3CnT9tt0gg69kV72x3Zx9tsPM1U8xUxrDteUNE2fKk2ErpFR4vRpOTYkNjCaGuOkO82jpadohA4ePkagECfKYXUaBYVQhoQvVTnKLsd34b8/YHguwqt/3lM2SLRMBp04gwWLdK6fV737g2zdfh1SSrxOu2vH2mjQbjSIZTIce+QhNN1Aui2e/vpXefUHfp49r7kLOf0ILRmhJhNUS2UmH3+E0uICyd4+YpkckUQCp1bFsGyuufsnSZy3c/1+8FenePdX38SkoXGz0+KNjdvY2WswsHwfjVgv/5SIsWfkjfzuC9dy21Nf46eP339h2cTdd1O7917Mn/0Qt+y9g3/96M8RbzWZHJvgF3719y48d/oNnYPXjCL+5QPd50oYdNvogT1w23+GmUcJvDbq45+AheeQIeSP5ghG7iJy461Eb74ZY3SUw/MVUhEd1w/5qwdPMNiX4tqxNDe/8J9QTZtg6Fq+U9/M5Pe+y54Hv4oWBPz8LypIRfCOyQx31yLImsvScptMpc4D+zW+tl8j0tbJ1SXrFxO858AKn7vO55nNEYaX4hihy+GNFaQAyzfJNHrp7QwyIAYZ1vsZMQKmH+syZq96/8+x9/X3/MDjTXkW9+/fgjZ+E8q+98DIdd3n8Vc+BNd+ENbddtXFlqstcjHzCmL334KZQy/wlf/62wD0jK2jZ2wdTq3KuUMvsP+et+K126wtzBF4HoHvE/geiqLQrFaIprsT6r12i8rKMkJRkFJesIZRz6urA99nfNdeBjdvRQiFwPOYPvgcc0evtNfuXTfBhmtvYNMNt5AdGvm+2+25HWaPHKJVq5Ls7UMzTLLDI5iRH56v7bYcdMt+xWHqR8QrpNYreAWv4GWj8eijlL/0ZRqPPgq+jz4ywsDHPkZk/zWI/4EzF17BD0a74TH1fJ5Y2qRnNE4sfXnOz9pSg6e+cpZW3SUzECU3GieRtbj/r4/RP9FVbhTOnScPLJXhrRmmDxavui5VVwi8EN1U6V+fYH6yzMCGJLe+YxO5kRhOzaVabF3ILnLbftc6zg3w2j6KIhjbkWP93h5iKfNlkTRSSgqzdRZOljj07XnaTY9IwsCpu1eM64WAkW0ZdFPtqp+aPp2mx8Q1vdzyto0/3gH+fwHcts/z956jfyLJ2PbsZcq6qyEMQk4+vQIS+tcn8TpB9/wPRknk7Cu+Xy+1eeH+WRhp8O3ZBzmzcg7DtVAtwZuyb2didATD1Imlu1lcUkqcqkuz1qFaaLFyrsr8Qh3L1tGyJtPnqlwYZ6mQaISEApKbUji9BkEgaXkdjtkhizkNPA+rJVA1HamqmE6A6kuGoyabBuIk+yP4AtbbBi3nDHtz28h7IedaLrNtl1BKPj8/xbR3ue2UHjbJKjU2WpK3ZiV3Dl1Df7SfUIZMrk2yLbvtso5iUHdxDhSQusCfbyBsFT+q8y074Fc7NV6dSXBdMsqLl60IQm6Z7ZB89DCh2ibQm4R6g0Bz0Fs55rQGD/kmjcCiEZg0A50OKlt9jbfcvo3g2j6Krs++RIQhU6XcOIfvnCAIW7TcDunEBpKx7ZRe+AzHzh4jY9UwIwWWrDkUqdCfuJVY5lrK1nom3Qxp0WRYXWXFEwy4h4lGxohEJwg7Dt96+ot889xmDhZ3dO2DLoGmePjhRfJWEz4hgvD89wzFI2o0iOlNkqaPHwqKrSyWFmJqIcWmRtZ2GItPc7i4nUonftnv9+khKU0lphqoQuG5egtTUxChxA0ll8ZtqwLGoh7TjSvJ5BgOHhpjIs+o1cKw44yYDs3CNBv33YHftxsvCLF1hcdOz3FssUzH8yi3L8/JUoXPaHwBQ/UQIqTaSTGR0/jgjRF6ozVksELgztNsnuaYl2Ze9rM1s4mm26Dh1rBoslY7SdTqI2n3YykqpghRm2fIKA3KpTZKuco6L0afGifdLNFJDnN/PM45RdIrNPqkQl8gGTJS5O78DYhkCMMQx3HodDo0vAbfPfpdGs0GKFDzajxTfob+VD9CE7SDNh4eK+4Krfoav3l0A8MHF1F1A12oSOkSuf46lECnfewYQgM9rqNqbdxVB3PdCFJYtM6u4OXzFzKKugdIQR8aRugaQlGRMiSs1UFV8ZeXrzgvrY0jHLz+NlYtm07LIR5bZOu2RxEipF7rIRorYRiXzzbvVBIodZ2IEzC05lDyc5RkgjPmRrLuCpvkNJ6wGCLPI9zAGTnO0NISO8+cZbkvyqbjUyjeJfduVOJOSGpv9/ETOr3zA8QSGaxMlnZcpSxK2IUoI6ePEKnPoEqfRjTJ8R1RGqaLIgWhkIhQMrTcZmhNY9Z+Ff8s7kJRVGJKh33GPBNiASX0sMIWCVlFO/cY3PFrhDf8EvMf/gju/BzZ972P6K23Uvj7f8B1Owy9/2dwnnuOxne/g3PoMMk33UP63e9m+dd+nfaJE922JBrBuy1BZHwr4d4MaktDZnRkyqJ/8E2srHyNpaUvEoYukcg4hp6lOvcMfuzqWaNC6GSztxOPbcXza3Q6yzTqJ0ml9pNK30irtYDnN2i35iiVHkZKv6sIVG268jQBBLjuKlcroKdS12PZ6/BFLygjuDLJWuU4q7UChBUaXpJOmKUV5sjqhxkxH2TZvRWJia74aGqIKzYh7DsZTPcRtzQ29cVJRw0cz+Gp5aeYKk9Rd+uoQmWmNsMj849cWL+tJOnXrsV0d+F5NpYWMLEyTSbMU9J0yopGqRljo7fCxthBkrTodwV2oJCjTFYpccIwmFZjrCo6ayp8PmOyveUyGnhMGTqeEJQVhdr5/uyWjsfNLYeML4mFEiFCdnRcTispnpcTLCtxSnqEum7RVgZJK4LQPEtLK9EUVTxFYqlR1tu34IUddBFFF1G8IKTW9glr2whlgGH6GHrAsGKzzhI40QrNdgHCXpA9LIsHeLr+AC9e/jk/YMLzWa9mGAxV0oHHThmhbkRo1E8zpxtEUvvYPXs//YFPALiBQeGraWIDHbK3wXTy1SQbS7hLa0ydiFKPZKh/8H/GTCaJqz5JzSM58w/smvoCAGUtTtqvEyL45MaP8M6bfxozNQqyw4ligblSidFv/BEdp8HPvv5jNIwYY16JG+2Qx/0YC1hcVz3CFw7/r0RMu0vEeK2uRVNlrqs20m3w20gzzuxbvsEDzQRnlk6jVs6yvnmKd40kMe/4JfTv/C6ceQhZXUACXxx+K/2NWa6tHePW27/FG/p78KXk2WqT+6/ZhH2+yBb4Ps1KiUTuBxdRL8UDq1X+08k5Sl5w2fumIvjQcA+aDLizcoBer8xpvZeTIsFf121KUuVW5yz7Z17gaJDje1tuwjUsHnnufWxxznWJJzsNdprQiCOWDnSJnOwGsBIERpxqYOEqFs1amcB3UaWPFroIQlbNUU7IMVS3TkQ2iYZNomGdnlaRSLOMNBQ828BUApKyRiTsEu/P3fDnHGr18/yqSfvocUS1ynWLR+l1ymhhgCYDCnaafCTD6cwI07tvQRWCasuj5HTJJt1zuXXpMG+YfYZta+cIhSBQNPTg6vlz9aFxSKcxVru5eaVNWwnPHCPoOPiKwFcUmqbC43s0vGSExEA/HdFCWa3RDKoMr4XcfspkuQec3hjDFY2hJ6fROh6epqP5HgqSpWiWxWiOawun8IWCIuWFzCKAxXgvQ/WL2X0FO0Uplca0VbKtKkOpZXKjJcykT3EyzvKJNEbg0zAjTG6+nmrPIH4yTW75HLF2AxWJ3agQra6BZWP82m+w+aa9xC0d6bq4CwusPPQIhfkVxOvvZmLPVhK2SrlTJggDKp0Kh4uHWW4uk7NzrE+uJ2NlWGmu8OTSkxxbO4Yf+miKRo/dw1s3vpW4EUcgMNWu5dtSY4n5+jz9kX6Wmks03AYSyZnnn0FM5lm3HEUIBdG/nmCxBY6Ps/8WNt1xAxvX93F6rkT5+RdQAh/3yScYXTrDqR03EX/nO1nfn0JKiRuEKE6Tld/7bUQYUs6N0cz1U+ob5do793PduixN16fqeFScNv2JCDdMZC/ray+ePMHS6UnMSJSR7TtJ9vW/fHuvS+AHIZ99Zo6WF/BT+4bpiZtIKXngeJ5itcldu4bojf/o2bdOrUrx3AwP/e1fUMlf7PM4ps9a0mVmvcd0pvIj/y7QfZxeMvRVQ0FcRiAMqattgpeQVNGWRqJjoIUKbTOkobuMN1JYrkYikWGofx3pSJa11ioRPYIf1UBXu+dZQMJMMhIfwVQMGtUyjfIaISFjfRsZNQY4cO4ZWq0mgetheyrrshuw7AijO3YTy/zoGWtSSr7wW7/C0ulJkr19NCsVfPdi/y+STDG0ZRvVfJ5mtUyrVkW3LHzXRbdsbn77fyA9MIQZ6ebVmZEokWTqsuvHL5ziL858iU9PfYkH5hY5ZUf53Z4cxfO2zslQ8tm7H+L9f3uY3/zKx4iELZRQEnfbF+ynT7/tnWz65y+wsm0H/SeOkfy7v2N2205mnA4bIybXLj6E8xcfwkp7KLbZtUqsL0FiGGoL3X2NDlAs3ET52y8Qtl1cw8Jwu30yJ9vHAbuXx8avIxnU+MhTX2Y5EeO5vs0c2rsXJ3sYMx+yb+E0dx2qEyrwmVfFUc0RpvpKLCZXibU0TE+hFglw9QDDUxgt2DgxKCU88EIkIUqoct2xfYwnh9i2YYTJ1UO4K6sYC42ufS4XyRuArbfcQaflMP3Cs9zyrvexbs81VFaWiKa757swc4b89Bl0y2LzTbcxtHnbvwup0m40OPnEo1SLeWqrRZZOdm0hb3nX+3jh3n+l4zTxOh223XoHd7z3Qy/rN6WUzB8/QrK3n2gqjVOrYEVjP5Q4qq0WWJ2bRQiB77rUS6s89tnP4HsummmS7h8klskSz+aIpbM0ymv0jk8wf/wI0weew+tc2VfPDA7TP7ER3/OIptP0jK6jODdDrVigtlpE1TRWzk6RyPVy9//yUQY3bf2xjuP/H/EKqfUKXsEreFloHT3Kube/A7UnR/KeNxG77TbsnTtQoj981sEPg5SS0Jc/tHD/wxAGIfVSG0VVCPzwguVZbbVFqi+CYWmYEQ07pqOoCpVCt6jnuyGarqBbKktTFYqzdQK/+1uJrE1mMEo03Q3lLc7VaZQ7vNhGCkA1VAxTJfC7CpMXs5JCP6RZc3FbXSVQLG0Rz1h4bkB9rU0YdC1jhBAIBfrXJa9KQLyI/Lkaxx5ZYOr5AsEl6pGdtw+RGYpRLbYI3IDJp5bRTZXsUIy1pSat2vlsM13h7f9lP8lcBBQoLTYxoxqRuMHciRKBH15mlzewIUm6L0ppuUlmIIqqK0w+ucyTXzlDu+F1bfOu4nd+KVRNEJyfeScU0AwVRVWIpU32vW6UTdf1X/huYa7O5BNLeJ2AU093PaBHt2e59ifG6V+XxG37FM7VWJmuYdgadlynbzzxA4/Z/xfhuQHf/PPDLE11B1BCEcQzJvGsBRJaDY9kj012KEYYhHhuyNpC48L3L4WiCpI99gVlVm21RSXvUFtts5RUMLzuuXEshaYp0H3JbI+KEQg6miBQBb4KvirwVKhEVapRBccQyB9AUGqhj69cJUBd+mjuDKAiFRtkgKYIpBJHUSzavHwZvuqtMCSniSg+exIpXj+4iVcPXoOu6kgvpNnxOXrkHMfPzODWi/QqaSKdRSrxJUIREiKhEaVdG+CGdo6slcZTVqnp83xPLxPb+Ch7/B0o5Qih0iRUWrTCFmdFwOONPgpODy3fxvFtOoHBQKTAVGUdLd/G1lpE9RYR3UETATO1UVJGnaFolWRUcLSQIaI1GIjmcTybFaeXSifFQHQFQ3UpOlkcv9u2aorHramT9GpLbBs/iNBCslYJS3NpejbLzX4EkqnSRuq+TdOLstTo52x1HZbweaNeZlwrk9PKrOdZBoZdckaGRqFMJ1TphCrDAz2UOx3uzXv49QhlGadEjDWRoBZE8dGYEIt00HFElJ6EzVFviJONCHdtSXNtps1WPU/DcaiXi9zX3kGAoNH2aboB19mLKIqKIn0M2cFSAkzhYzeXeE37PgZFCcfsoWH2U9OyNPQsgZVi77W3oURSMLgPrET3xIcBfGJzNxj8jl/vWk7F+rtqmvMo1NocX6pRd4oMR46xvm8PcT/Er5zGq53DUjMcWJvke60lopmNaKqGQPBk8SDPrR1DEwq+vLqN5MuBoKt48gVoUuK/ZOA00okigxhSakgkeTtPoFxeNEVKti3qmC7ogXL+pZKpC+552iHScmmNpbDVFslEAmn20Dh0FqmrdHostE6d0AHRlsiIglr3CFHI9w/QjCVoRaLomkV7Yitr6zZDzwiarqOrKrquoqkquipwyyU6xw+hT5/EWFthfqCHZixKIAMiOKSpkaJOy1IYnziKYTtoDY2gHsWrxxgNCuhmiK9sRDUj6GaUcHAfraGbWTo9w8wTD3efp4rC8Lo0re1vJPf4bzPhneFxcR3zxkY2d47QWA4ZOzvH1LqNuOvGUXoyNKrLbFcPYNRcWn6ECWWZYVFAvaSQ+Viwg6NyPXnRw2Y5w532EdoDTcpmhkJ9HU+v7eY7jQ3My16gG6auCoHj+cyXLlf2ANxn/xaBovOHg3/Kx968g9Fsl0BdrrbpT1go36ddzNfaEARkfQclmUToOsvV9oVlhehet9OrTR47vYqiwHXjWTb0RLv5V6rgxnURSvV5plZKaLJAytaE2AAAIABJREFUJjFMOpbAcc6wfvAWSi2bqUId1w/p+CHL1Tb3Hlni6GIV75Jn9XDKpOV1iJg2fiBZa7i4521T02aZnN1A0Xvpj6v0J1SaruD5BYu2H1BxLi1cS5KixXZ9iU36KoqQGHj0yBLHlI28IHahhh3WfIOOH9ITFNghznGTcpxeUcGmg6lKTot1BNFeTrfTNAOFvB9jNYxhRBWs1iJjFBkOawxpdUb0OlHp0B8sMcDVJ+O0lAiB0FEJIAxpeSoLTgLHU7EUD02E6ErA0wMGf9qjoSK4PjSwZEhEwg49Q9Ut86DoMKUJgh+hthMLQ9a7HiO+j6VaPGWqLCtgSkFb/PCxdSQMca6SvfiGZptbN9xDKTfBVGOOs7VZTpVPXwgj/2HQpeRP7vfpOSSomFFSnYs2U0HEQHFcQiHwVY22adCOGBzaugXrlju5o/QF9FSaZzN7eUAf45ePfZx1czNIBWKJNqGr0CwYLD+XQvoKpZ4sj9+wixf27+FIegtbmjPcXDnAJ8beT7Ja5b9Nf4qfrH8TqdkIGSCkRGomTT3BvDHAt6p7yLdsRhbyDBVWMHyPaizOp9/1Dk71biCpaJiGSqHdolcEjCYy/IrzLDd/5xf4+K1/zSe1rbTPq/U+tX2ce3pT3++wXIZWEOKGIX+zUORgzYHQZ7owy5urz/Im5wS0yihAVNPocdewG8tIz0H4lxevPKHSUiwiisC3s2hug04oaRgJss1FGiLKo9otqIGD5juYYQuh6kzGb+KMNoEdNBmqHeLVq4/T55UwbZ9AKjSVCDURQWmF9FFChoKgo+Ci0Qksmmd0wksEk1ITyKRGuT9F32CB7yV287m1V3Fd4RR3LR2gr9JV6PmmTWfjVhRNQ2gqxokjKOczxA7deDdOJE5fcZ6+lXM4vYPkpk+gOE308XESr3sdKALZcbF378Leuw+hCIJKBW8ljzE+hjFycUb7t2e/zWcnP4umaKSNNGooUHzJC+VDLLVXEAgUoZAyU+iqTtpME9EjHMgfYCA6QNSIcq56jr68y7sWR0m1Feo3bWd3ejfhn/0j6uI8yns+wMR734li27TXylQqDYhEGdw8zoH//ZM0XQ/PC1BmZ7AWZpFOk4oVZyw/g4qko2qYgc/i5r30v+G1bH7L3eh9P5wI9QKPvzz8lzy59CRRPcpgdJCN6Y2MJ8Z5Pv88D80+xFJzifAlfQtFKFe8Z6omu3p2YakWfuhzpnKGYuvq7d2l0JRuXwa6+Ybv6H8Td5Y3c+rJxy6QNWY0iqrp9IytY+erXsfYrr1Y0RhtL2Ct6TKYtK5a7G17AbqqoF7lGReGAbVikcryIoqmk585w8qZ09RXi9RLqzRKV1pdCkUhms4wsm0nfqdDpbBCNJkiMzhMenCYzOAwiVwPCyePo2oa0VSGzNAwsfMKjGohT+B7aLpx3irUouM0mT9xDKdSpt1sUFstEnguqm7gtZwuvyREN0tpbhrdtjnZPMOCWKWccGlFIT08zGhilOdLhyh0usfcDDR2LmQYmFdRJLhaSEcP6RghHT3A1UOGawlGtQGEF5JMZJhtLZIfDhndfw2bBrezKb2JnJ0jqkextG5/NZQhBafAs3NPU2ysMG4OM9LJEnQ6eJ0OQhFYsTj5s1MYdgTNMM7nFEvSg0PopkW7UcfrdPA7HZxqBbfdQtV1VE1H03VUXcdttTBsm9Edu8kMjfwPJyy8dpuDD3yTwrlpYuk0iZ5+Erke4rkeskMjl6liX1TLVPLL3PtnHyc/faV9dHpgkMHN29iw/wbW7b0GVdNZbPxf7L15lCV3feX5+cUeb18y8+VelbVkbVKVSgtakBFCIIkdbAymbcY0Y/vgtd1u9/h4bA9e+hjGPd2ePm3T2IPxYIamMcZuAwaLVUL7VqqSqlRrbpV75tuXeLH/5o9IZamkEgiM3dM9uue88zJfRsaLiPd7EfH73u+9d5m3/PVbKOlpNvwWe4t7ucaDJ+aWmas4/GLP4Ef3/QS//fWI3/I/QvepLP0VC9WKEJNThOcSl4Vd//oWZv/dI5R/+qcZ+pe/nLzhn91J//gx5r82iD4yTO4tbyXuttEX/obCjjrKbb8Epb0s/9k36dzzNfzhMb5UGOWzb3uGyfUCh0+XODTf52D9InoU42tQzUtaKcH+JUksQJHQsyDvwNpEmsn/8B/ZfTCx6647DX7vm/+Whl/FjbuMFkcZSJe5uj3CdTtvYmTPNH83/2V+/f5fB+D3rvlD3nHk9ZcdMykl7c0NMqVS0jAax0RRhJQxumEShSF//9E/5MyD913xM0zlC/j9PqHvJaq7u978Dx4X3w1xHDHz+KOszZ7n3CMPJOO3n4zf3MAg2fIAN/3wjzFx6PA/+ra8HHTrNTynx5Nf/lt6jTqdeo1OrYrbaaPqOlEQYGVzTL/qFqZvupXC8AjN9VVC32Nzfo7VmXOsz5xH1XWcVovQ99BNi3wl+b70ux2GduyivbnOXT/7y6QLr0SqvFy8Qmq9glfwCl4W6p/8JOsf/gh7vn0f+tDL73J8IcIgor7So1Nz6TY8hAJPf3OJ1mafgYlMQiDlTdJ5EzurU13sYueSmzi3FyAlmLZKfdVhZHeebDkpIi2fb3Lq/mW83ksEoTwfAqyUjtu7cjFA1RQUVZAumHTrLmEQX/a/dtZIClcysSqLghi/H6JqyuXLfo9QNYVr75pk6ppBojBZZxzGVJd7bCy0mTteRTMU9lxX4arbRlmv91k5UWXm0aTzUNUTafXI7gI3v3MXs8erqGpy47pyoUV7s0+nnky+dVPFTGn0OwFRFDO6p0C36WFndHJli2zZJlu2tizwoFNz6dRdBiaylMcynHlolV7LI1O0UHWFe/+fMwxOZhnZX2ReTQpf3V5Aquajzfde3PgtAJlY0KmaQmvD2Sa/APZcP8RNb99FfjDF/whYm23RXHcY3JHdmpAkRKaiiC1SU+D2AhafrXH+iQ3qqz3G37eHE2qIXvPJNALsTQ8dwX1jKlMLHspKHyej0M9o+LbKqUNpPFNBBjGaIlAVQdAPiYOYyIsgkuiagqEreKbCrHrlsSqeM6KSISIOUeN4q/Dkk6VPHK2g0kaVfTp+j4ym8rqxVzGenSSWEReaM9yzvkjFMKj1ZlGDNSzN4PaJ27mjsoe0EjBmjFAPG5xrnedc4xyrvVUeX3scVc3gixTIkMn0MJExRjF7NYvdVQaUDpNajx1ahzBsMp2yuWb4RqpdnfO1DOc2LM5ckARSYckPqPr5K+7flfc5RlOSnJZYKsRSZdiqs6Mwix/rNNwidbdI208USboqmSxC3tLI2jqmpnFuvcdY0eLfvP0qRvMQhl2iqEsc+3z9+Bn+8nGfWl/QikymrBaENmtBlmykMyEFFQRPKC6G5lJUIl63a4RulOL0sseX2u6LLI4Kao9WZCOfF1htIMmKmJwa8MMlix+/foDikXGEZiYZG6qRWDm9FPqNxOqos5bkchjpJNi4vBvaK0ngbnsFzn2VuLVCTxpkxQss1FQTohdkQmQqiX2FkUm68YUABJR2JWHRh96R/Pxy8ZVfg0c/dvlrVh40O8lXMVKgJ8HN7e46D5gKDRHTVFSaqsKMrvO4bb2IcBoOQz5Qb3PXXEDT07BFjKlqNDMTKPU8/mqdaLVHnFKJ0xoBBrN7MwTjB1jYuZee5tIJG6w1FhChz1XzNgUvg4hcItlndtRipeSwbq2jqQGxkkw4b1rXGatGXDfvkup6KKFA6YHSuvLuu0WLb9/wQzSLBaRQyMs2t4gnmZdjnBbT28tJCS4atkiui+m4w0i4SohKT0nTVEsE4iWIZJkkhkmhbK9LKHAV57k1eogBGiiqgpseJ0hVML0aemUade/rkzGgaPhSYyUeJzM0imaYz4uJEDTXV/nrD3+I8sQOCpVhNufn6LWa3PGBD2LmCixceJypZ/8ju+QS5+Jx6sogx7iK9/AFyiQHJpKCTxs/SuvGX0XVVHpeiOv0sOvPkq2fpFc8wK2vvZtsa4n63AVmwgx/tQjt+jphYYqJYorxos1w3sLUFA6mXPZm5XbxqNbs0DTLuLU16m2HxcBm38yfcmf9P/O/834+p7yRNx4e55tnNmg3a+yeGMXSFc6tdzkwkuXqsQLjRZsvnFjhsbk6hqrwzqNjRFIyu9nl2MXLGxGEjCnKFj9VOsGOcIH72mM84u9DiwLSkYNFyLpeJhN2UKSkrWVp6gXaeo5CSqfrhoTPs94r0OEDxRNcV3RAz4CiEEiFqhOhmhkWlVHsuM/B6DSVYIm57HWkhU8/iKBXZSYe4ll3ADPscGd6hpy/yaC/Rig1QqkjogC7dxFVkehKhKFEGEqMKiIUIVENGyV0kAhQNMQWAROqNj19AFfqRFFEJVxEfdEZ7grjPtZxQh0/UoikwpP1MS728phqhKWGmEqIE+nUvOQcpyrJuI0lWIbCaFmjLDYxgwZpzeNAfhNXARSN9OCBxOpOM6C3maiIooC4s0pLhrQUhYaqMKvrTEZgWHmyUiGLQtZI89TIfpzCGLePvBpFNZLO7tl7CZwGTm+dvF3CR9ImJmwtsels8IxpoAG51AD6wAGWTZsVJWZcy3C4sJdFZ41Nt8GkVeL2ox9EFHdcdjy6fpeG2+B88zybziZpI03BLLAju4O11hzzq0/QchtoQuHbG8c43pzlM5+JUPsKxakeiqWiqQ6ZSp/umomzYSJjiDyFftUg6KkUp3vYZZ/MhEdbpBHLEStPlRC9F9cJ1H17GXzvj1P92McI19aIsjnqe6bpKhALQBqcyOWo5ooosc+Fa3ajNUIObl7AdDyivspwtcqtJx5HkZLQ0FD3T6Hnh/AefpSZnRPUDpT43PSdrJWGuXX1GDfXnmJ/NMNRcR4pBJFq4068mvrU7Xx8tckXC6/id/bv4u07d29v558ubvDpuTludWe5VTTZFTdRexvMbCwwZ1S4tvk0h7vnsOLLrS6f2+PnTmNOy6C3abKyUKQvTfyyjjIgMAahZDSY6GwQBYIQhb5pombgSXGQA/Ey2XYL17EIQxNRsiiZS6T0SyT65jNZqqcuV0B/N6iVIawf/1G8Ypp0L0JZ2cA7fQbn+HGIIuJ0BqWT5N1YV19N6Sd/EmN8DG109LJ5XVirEVZrrP7WbyXK0jBE6DqpG64nrNYw9++j8K53kbrhhu3iuBd5nKmfoeW1CKKAlJ7iyOARHlt7jI+d+BjdoEvOyHG6dprx7DhZI0vbb+OGLn7kkzfz/PYtv81YZgxTNSlalxfz+mEfQzFQFZUwDvmDx/+Ae+bvQRUqNbeGlJK37nwz76i8Hj9r0Qk6TGYnOVA6sJ3ZLJEo4qWbJ+dOzdB87HHksycxZcyB3/9tFMNgsb1IL+yhCQ1N0Wh6TU7VTqEIhan8FNPFaU7XTvOHT/4hZxtnuXH4RvzYZ7mzzEY/mZ9pisaNIzdyqHyIQXuQSEYoQuH2idsZSg1Rd+vMNGdouA2G08PsLe4lrV+6VwuigPuW7iOWMZaWEF2KUMibeaaL08y356mkKgzYAwBEccTvPfJ7fP7853n39Lt59753k6vB2sw51mcvEAYBi6eexmk1EYrC2P6DHL7j7kTR4fTYvDjP5sIcAsH4gUNszM8yuu8g+cEh2luKu8baKucevp+Vc2dorK4QR5fPvwuVEXJDFbLlAYZ2THHwNXfQ77Y5fewhpOMhw4ja0iIXF87gpsEcKNB2mtSbGwg3xAwUHCvaVjIJKcj3DV5789tpbawz99SlmqBmmFjpNN3G5fa4cdZkY8BnOduhFGXwtIjVdAdPDWmlfPpKsP2FLmkFxnLjqKrGyepJDg0c4o1Tb2RKjJJaD6hemKFbq1IYHkU3TcLAp7m2QnXxIkIIBndMkS0PYNg2umUzuncfY/sv2bn3O21OfutrtKsbpPIFzFR6K68xhWGn2Jyf5bEvfD7JAnoBhKIg45dXX1A1jSh86VrIyPR+hnbswkilyA0MkSmV8XpdzHQGp9WkvblBa2ON+vISu667gcrUniuSUz8ISCmpryzRb7fwHAff6eG028wdf4L1uRncThsrk+XwHXfh9rrMVrp8qvcl3j7yRvYcF8w+/BAAX7t+nc2ix68cN3hdepW37C/yvvsi7noE0hWXwi0+6w/uRvE32H33KnP3DKAMjrHj//zdxFb6Y69m9XiW5pnknBurCn0d0m6M2LETUauilksECxf50uE9fOFQhXjgDK7RIeWpNLMBaiRI9yW/+BUIZcT6T7yBo1ffxTNPfJ39n7wf28xjFm0yr7qRAz//v6B8j8ey43e47bO3sTO/k8+/9fPfFzEZxxEPfOYvCH2fq25/A91GDRnL7bEbeC6f+93/lcDzeOev/W+k8gV083tXPgIsPXuSez/1cfz+pTni4OQUR+58E8N7pjn3yIM89rd/RWMlUcGN7T9IoTLKkTvfyPDu6f+u7PdC30cogrWZC6QLRRaffZr548fw+w7l8QnsbJ5r7nrzZfaDYRDQWl+lODL2A83p+v8rXiG1XsEr+B8Ese/jnT0LioKaTqMODXHueAvPCWjXXIjlJSu5Xo2Ja0Yp7h1BCLGtzHlOqZOQMxG+m6icipUU8Z/+Ps6jj7H3vnu/43a0q32WzjSIY5kooWJQNIGiClqbfeZPVF9E/Ng5g0O3jrJyvkm34dJr+ttKJKGILRIgWY8QgiiIMVManvO8mzYBu44MsuPqMjKWifLK1NBMhXTepLrYQSgCzwlxOj79tk9+KIWV1tBNbVvZlS1ZTB4sbdvkyVjSrrn0O8nktlBJYaVfOnMpCuMtG7wAVVU49tUFzjy8SrZs06n2+U6nVjuj0+++vK5bgLatEKmQnchghRK/5qGmNOzRFL0TdfDjy3y2u1mVM9MprrZMSpFA9WKaGtTCkPJMD4ZsYj+CVoDaCRBXuH+WAtxBE7tkYuYMVCBa6+Mu9fjCj1aYVSO6Wx3fBU2lHUYYfsxERzK85uPpgr4hmN6M2LMZYnSSz9BMaVSmcgzvyvP4l+YojaV53fsOMLQjd2l/q33mTlTJli10U00IIVWgqgqKlnxebieg1/KYf6aKnTG44S1T23lZz0cYRFQXu1gZnXTB3M6W+kHAcwKO3bOAbmr0uz6tjT4LJ2tIYL2gMjOso8USI5AYIRihxNxSTNWzCs64TX3C5qnIR1nvoy72QFeQlkqc1YmHLLhCptkOReWgZhAGEW4Y0/cjYkWg6ApSJAUZKRLKCkUgasdoRcu8f/9PUNZUyrpG1xK4dY/rJ4ukVYUwlgRhzHxrhbmNmHIqi+NFaKpADWJ8t4tdjVFjh3o3JogTheJa6gzf8M6yKzuEjUFeDNFtB7R6Hk3HpxeoeICththKTCgMdDMmiLvEcYShuliqi6n52JpL3mgRSg0vNHEjAz8yyBgup2t7mGlNAaCKaFvpVLFcdqVV9g6lObh7jFR2iMXqIp22wrA9mHSzKoJYenjRBt9e8nF8F0PPY5hFRvKDfPKBNYQGlqExkrcZLdiM5G3GizavP1ghb2kJURMHybPbhPVTSVi720ryMDIVqBxKVEZ2kWC9R+f+ZYSmgIC4H6LmDFSlQ6d/AXOjR2b5jzFuewfijqQjL3YC5j5zmq4C957dJItgjYiL2Q4FNWDSU+nKGCVzmn6hTyvdY0dlFw27w9nGWdJamrt23sWdO+/E1mz6gYsTuLS89naBZ7m7wmZ/g9eMv5a0lkECYRww15plPDOJoZoEcYAXuXhhn17YpbNxgletPouWqRCXd9PKVpBmlrRdwlw/lRBiViHJCbEKLwq+fj6iKKbV7aErySRXSokQgmq1CsD6ZpWV9U16uiRX2o1i6Li1R1G8GsKrUnUXWXfXCGKfui7w8HFlwIBUeVw4tEVyXlUiiR1Z5FyTHWvTjC+nGIsbaFGIHgUY3T4Tqxvkey9W6PQ1A8802awMofs+puehxjFDtWQbI0Whlc/TLBQIAkGp1WCwc3nOUIxgI1WkYWWp9OrEQkGRMSUvyfXoaRar6TJ9zcDVTE4M72YzV6Sp5omERigUYqGwc1hnsj9LWlPxpcRXBTExAkmxXEQMHSAtJLrXJa6t0pl7ltj3iDpN4uBSoVYiKJYt8nqPwMwQCZWIS49YStSgj+23Mb02QSjY9HMEW9IVK5MlWx4glS8QRxGB5xIFAXEUJdaKzQaec0kRohCT1ny8WGN3psbhgRqj4xUUK0uIzuLcEk8sZ1h0CpjZPLe8532EWsCOI6/hzCc+yPWdb3Jv9i1QnCI1OEF2901M5lI89jefpXpxHiOVxkylsLM5yuOTrM/NMPvEo4TP2+f8UIW9t9xGv1HH7zsEvkd+aJiN2QusXjj74sEpxGU2LqZloYctsppHecTkC/qt/Fz6Pg65T/Jl/fWcCndxnXaRJVngRL/IQjjALm+NI9E8uWzEHxnvIiVi9odz3OA8hedDs+ERxhI/UijoLkWjT1b3WO1nqXkpYrZIYCQF3WUs1SKne2giRhGSUjqiOXIEQxXs9s+hBh00r4WQEVEUs9bP0gws+qGOG2kMWD0mUm0MNSSWInmgEMYKXqSiKzGRVPBiFT9WUUVM0XDZcNP0I52UGmCpIV6sMmp3sNSQfqjhby0vEWgiZrWfZdNLYyohuhJT920avs2yk0e+IDXHVn0ymo8iJCk1wNYCdBHRDm00XUeLeigCVBGTzxqEw9cy+Kq3IY00vusShyHl8Un6nTaN1WVC3yfYskDad9OtDE3tvlQkaa/C6omEePK6cPg9kBu58slJSvC7yXKKBt21JP9I+wcU9+IIVo4nTQKD+6C48/tf18vESneFuz9/Nz8rc/xUnKY3chgtCjHNLPpNPw9rzyTXsPw42CVibC689Z1EzUvf3+dctLTpvQy+/58jfZ+o1ULNZdEGB8m89rUITUMGAd0HH6T9hS/Qe/Qx4k4HGQTokxMEG5uwFcjeSaXJPu/8EGoamCaK7zP4kQ9j33iUc9EqZ+tnyf31vez+1P3JgkKSGvDR0xGkVdxNHbehY4wGDI010VIRuh2h2TGOZvN/7Hw/v/rOXyWdHeDb1QaPf/FDfHDmsyjtiNBVCHoq/cDEs01GC1Xc0KDbSdMSWdbDLBfbA3Qjm3tHjvLk4D5Ggxo3rJ3m/Sf+HjP0CXIFRGUEdfYcIkoUt5Gqob6gyL9x+5vYlTPofvEL25ZYz4d9YBfW7jFkCM2vPUTmzjeQe8fbmVl+hmbcRY0T67L5cJ1Ge51IU5gvBDT8FrWoxUWzg3zedXbIHuJA+QBvKN3C4a+cx+z6pG98FdbNN9HKCFa6K5ysnqQTdFhsL3KucY6W3+LNU2/mltFbOFA+QEbPbFvVPufM0Qt6PLL6CPcv3c9Mc4aYxN75pVSDY5kxDg8cpuW3yBt5fvPm3yRn5K647PeDltfiEyc/wadPfxrvBQ01tmZTskoEcUDLa3HD8A0Mp4fJ6BlG0iOMZka3n7PGJRLx+MZx/vzkn3O+eZ7FzuLL2o4duR380tFf4s6dd26/ttBeYMPZ4KqBq7C1f1pXiSAO+NCDH+Ke+XvwY5+bR27maOUoSFjoLHDz8E1cH00z+9TjXHj8EerLi+SHKrQ2rpyxlzSmiMtstcx0mtHpAwxM7qQ4PEpxeBSv75AplalM7SaIAmZbs3T8Dg2vwcMrD/P585/HVE32FveiCY0TmyeIZHTF93whFKlw27Eyu5tFrn/HuygOjRAFPuszF/CcHoWJCY7lL+KaMaqu8YW5L1Fza2hoVDY0sn2dEXWQVKihWzbF3TuZyE6wv7SfYrpMu7rBzLHHkxqAhNXzZ2lvJsfDsG3ShSLNtTXklrIuXSgyMLkTr9elU6/hO85lx2ds/0HS+SKbF+dprC5vr8fvv/geE2D84FW86m3vIl8ZRjct4ijCaTcpVEZQVI04jraVeCvnTidqt0IR3TTRTDOxVTMTy/goDLeyhgI0XaffaXPh8Ud55pv34LSaeI7zIiISEgItWx7EzmZZn71w2eul0XHMdIbA7W/bCk5edQ2aYRB4LoWh4cssDOM44swD9xF4HntuuOl7Up5EYcjCM09x6ltf59yjD26/XhgZobm6imEnTa87Dl/DjnfcwU/d/3MIL+Lo2TwPHa5zw7mYf/35mNx0n+xRDxnnsPubVA+/E+Uvv0Zr3mb6h9cQhoX0XU7cM8npUsSH353MmYnT3HK2yy//bYxnpdC8Pn9/NMUn70rOMUoEH7Dezo8cfS8nqyf5evU+5uQq5zoXODp0lE/c9Qm0KzmW/APwxZkvMpGd4Jqha36g630+jn/1y3zjzz66/Xu6WEJRVJx2k9LIGGHgY+cKZEtlhqZ2c9VrX08qf0kN3Ws2uHjqaf7+j/+Q3MAgw3uSRrs4jlk4ceyyOcHgjilufOd72HPDTajaD/ZY/WNg+expnvy7v+HwHXez88i126+Hvs/Df/WfWTp9ipVzpwHIlMqk8gVqiwtEYcjgzl3c+dO/sH08XsEPFq+QWq/gFfw3Qm2ly7lH19AMlVTOIAolcRTTbXi0qk023FkKVRNDN9FSJuXRDCNTKbJTo5ztPc3ZpadYWDvHxuoF3vYtg/SmQPeSDrxINbm4602sl44ASV6KQlKkEDIpIH+vKNWfpVRS0W95La3N/rZtXhxJOnUXoQh0Q6Wx2iPeIqFUXdm2qIvDmFTOYOfhASYOlMgN2GRKJm43wM4alxFFUkq8Xkiv7ZEtWURhjGaoaFv2hGGQ2AXWV3uEXkwcy+3sn+8GKSVR1KVWf4BeZ47VhQcRikBVUihKilBuEMYrW4VVD4GJIIWQFs8wxLeU11AOJXHQxYs9ymqfWyZGeMAtcsZLAUknnyIEIg7obHawLJgoalQMwZBSZEMOoGsaRTSaHY9ar0Pb7xJe7CNaFkFWo2Yr1CyBEUHZibGdiGZaBSmxIslw3GVn26PvpyiuQTulUM2pFDsxpW7E3LCxjhREAAAgAElEQVTOMzfm6WRUpBch3JiRwRSWrnJfo3PZMZmwDJZcHwloAlKqQj+IyDkx+5qQNVTMgkEmb6A+UkNvBtjtENuXSAGRAid3mLRuTbHLgjvTq+xVVlGjOlXf5cnoEMeDYfarq+hxnV7g8Hh0kAf7A/yL4QH+5WQFM6VS787z6aV54s4g+uca0AkZ2pnj0K2j9FoeT3x5/rvaHT4HO6vj9UPyAzZH79yB5wR4/RArlVjwnX1sjU4vwBcQCMmSDZlBm5tePcZQJc2JxSZPLDRo9XwyW2ocW0+Ir3hLoZe3dUYLNrfuGUBK6LgBHTfk3DeWmJ1t8GxJwbVVvJSCkdZZ8gM8WwWFxLpPFYltiyoQEkQvhChGiyDVDjB6Ia1ewJCiECmCZhQRSchqCqMDaZpdD1MIbAlaP8KMJCeJCLhipPh/UwhibM0lpfVJax4ZzcNUoB9qOJGOpgQEUkWLDFSp4sUabqzjxipOrBI+T41kC4kuBW1ghyJ5c2xyWImZUkIyxfMYu79JoW+huE4SnO53EH4PqRio7YtX3L5YT4GZhcBFBH2QIVz7fsTu26FfR3Y38NubeH6AbC5g1s5gOSuXrUMCa6pKXVWQCOLniESgqaicsst4qkmgaIRxwIaq0VUkmbDNGUNlRdfIRjEHAo15excoWXzZwZddUlqKerDIoDGBHilshkt44sV+3QoatpqjF9VRsUnJHXiyga+sg9SAmCuy1c/tQ2QgoywofYTqIkSMlCqQ5Mm8ECaDgMSXTeSWGgipMGXeznT+OlQM/DDiRPVB0rFNOcwSS4ESmwgMiKHvz9DXVwgVj0yYIRtkyQQZ7NCmo3domk1aRou60aBttlBiBSkk8gpWXkIK7MBED1RkqOJYfd74hM5bH3fJ9X1eukf7EhqFAqcPHKBZKKDIGGWr+NgsFJBI9HZ9S3miQhxhtxoUew4T/YBcz8FutogtGylg9eA+XFVBSacSi4mlFfRqFbXZwinmkVGEDCOauQxdIamaCkaxDEJBIPFbdXQrKYTJOE7sRIKAMPBRNQ07lwckurNKJe3Q7OtU+zaqIinpTqKe0SAzsY8wM84e/zF2KjOg6MSqyWruJp6cjVhebuD1+wihJLY1uoaq6VsPFVMJyCgOZb3L+JCBX9xHlyJBr47fbbHaNbG1kEPqSfLUQChIoaIIQcZWiRQdvb+B5tURW2enmpfipLePvlKgnI4YtD1G5Syau4k08zzr7eW+cxqZ0d201teo7J3mxp/4Kaw4YmN+ho35WdZnLzBQf5D9+Tp6tkQrztLwU6y2FBY2I6aKLtfvtRmwelh+jW52mqWZBS7WJLmsRdaMSakuUb/Hyfgwe1/zZoZTDlG/jfQdevkDrNZ8BiZ3YlgWzbVVmutrRP02F088QafV5drSCm0KNKIcnuPghDp53aXupxK1kojxYw1LDXCjyxtiFCQZ3eO60S5ly2NIWcemx5Ww1dqDeJ6iSSKIZEIgvWh5+R15ZFb8QZpBCkUBTVPRVIGBh6HG+JFAi10s4WEKDyEkDWsv2XgTXcTEVhFp5lEiB6lniN707xHlXTjNJk6rgdNu4c49idq4QGpkN6EwCYMA8cgfkz78JtAtUo2TRP0eoecQohNO3UHYWIbaeZTWEoqIMZSIitXFGNkHV/1IEto+fHViOfoKvmf8zFd/hjP1M+iqzoaTqC2yepY/ecOfcPXg1S9a3puZwT1zBmKJPz+PjCPUdJriP/tnBKaKIhR0JRnTYRzy0eMf5ZHVR7hj8g7eu/+9pPSk6Bg2GsQ9B2N8DAC/0+XcH/xbtL//CiO/+Rs0SwOkhyusZx1ObJ7gkfPf5AnvLH7kX0ZS/M7hX+PN+Vto/tkf0T87Q1BrE25sotg22TvuoP3VryKfVyz2LQP11pirBi4SCJXFwgHaUczUiTnWjuWJgytcERSJjMVllKvUdIShg+MgMhlktwskaqfUb/wK98vz9IyYEa3EyFKf4vkNjK6LMbULbWgQGUX0HnqIxl98CgDnja+mfd0e/KE8gW1gr9QpztdJf/VRaHXANGmUDX7tTQ2cjIYbXX6tV4TCSHoETdEYSg1RskoUzSIlu0TBLJA1smw6m1xoXuCJtSdY6a2gKzo3jtxIw21woXnhReTPoD3IdGkaVag8sPwAsYyZyE7wC9f8Ahkjw4XmBU5VT7HWW+Nk7SSxjMnoGaaLSYHuyOARjgwdYcgewlANZpozzLRmODp0lOsr12/brT2H2vIift9hYHwHuvX9KQFeiPXeOk9Xn6ZslTFUg1PVU1zsXKTm1ojjmJJd4hsXv4EXevSCHv4LlHh37byL1068lrXeGh9/5uPYms3RoaNcM3gNY5kxAhkQxiEZPcOB0gEUoXCheYFzjXNIKXnvgfdiqubL2lYpJaHnEcfRZd373ytkHBOF4YsUNKHvJ7a1uk7La/G5c5/jM6c/w0Z/Y5sUkUgOlg9y08hNLHeWWV44z9s2j3BmrMWq3WItqiIjyX5tJ5lMnt3zFqNGhYHxHXQbdebDJc5MdNjob5I381TSFSqpCgWzwF+e/Uuq/SorvRXC+BJxogmNt5TvIFMe4EzzLE7ocEv5RoYuSjLlMuXJHeQLg9T8Ok7gMJ4dx1RNJJIwDvn9R3+fk9WTvG74Nu5dvx+BoJKucHjwMG/d9Vb+y5n/wkNz9yE1BakIduZ38q8O/hLVLz7EzKMPb2+HbiaZTvIKNtPpYgkhBIqqUtm1h/H9hxjbf4jBnVMoippcywQoqnZFNUkcR3iOw/F7vsTc8SdxO21KYxOM7NnHziPXUtm1hygMEmVSv4/n9PCdHulimdLo2Pc9Fr4fNNZW8LpdzEwGt9MhlS+QLQ+gqCpSShaeOY5mGPQaDaoX59i8OE/gumiGQadWZfPiPC/s1r3q9jdQGpugtb7KxZNPb5N5iqpRHhunODZB6LnUlhcZnT7A2L6DmOk0ViqNmc4kNqhCkCmWtsmS+RPHMNNpNufnOP7Vv2P39Tdy3ZvegWYYSQ1H05lpzvDzX/95lnvJ+xW6ko9+NOLs7gFWr7uFX5QfY75X5MOtd/GTFZ3i5/4rlQ+8meLwDKfu7aM+tMC/e6fCsf05bs6/nlvPCz4rv0W5WWexrOBqJo2Cx50jd3J4vcTowCRveOP7XnRMT2yeYCo/9QMl7v8p4TkO3/q//4TBHbsIPJfm+ioyjrEyWaoX57HSGfqdNp1aleb6KoZtk8oXyA8NU1tepLvV6Dc4uZN3f+gjWJlL2deB67LwzHFWz59h4qoj7Lj6mn8SRdbJe7/O5sIc0zfdSn6ogqKqiSW+pqJqGoqaqBtXz51m8dlnMOwU6WKJ5TPPsnruDLnBITKlEie+9hWSuLIYw7bJFMtkBwbx3T6r584wvHsvu6+7kd3X38jA5M5tlfD88Sf5yh//e/qdNntuuJnhPdPsuOoIum2z8PRTNNdWaW2skcoXqS1fRCB43Qc+SGVq93ffuVcAvEJqvYJX8ANHv+Nz7J4FfC9KbooEsNXxc/6JdQJ3q4svjFEUsU0APQeFEN1t4ZlFTL+FiENixcA3L1lpZbpLICWBnibU00SqiZQ+MqoipZcUZKMW5f4M+3sbpKvrqJaBkkqhpFIcH9JJnQlAGcSxTPqGgRG6FAeKxHt2c7LjEYoIjYhFAnLeIBm/gBVaiIyOUTYxIzCFQNUUcmULhCD0IzIli9GbKzzcc3BSCpqqoAmBLgSqEGgCVCHQFYEmBBVDJ+06LDeb7DVVBivDGNZ37maTUtJqHyObOYSqJpMh11tjbu6PaNQew3fbxDJCyghkROyVkH6RWL+AYvWJNBUPCxsH6UAUKjSMMmeNg5yMr+Zp5VryYQNFxriqjatYIKCr5LBlDxcLEOj4+CJ5f00G7GAejSApaKNsP0J0WuTpiOQzVGSERGzbOgGYso8nkv3eKdaYEKtU4hUiYRKrJmZUJRVvspNZdopFclYFKUN67irNgQ9yaOJHGaLGphhGaAV2pUzMF+QyBEGLxaW/YLE9Tye2cYTNoOpRUfvUeotoAjLmAIY5RDp3lOHBu9HUF6vSarVvc2b1WzT7iwRSwZcalvsM6Sgp8juBxUxrivON3XSCEkVzgx25RcYyK9iGhWkUcd15Pmn+Cx6S17NHXaMW6LSaaXBjMBSGhzO8xzcZeqiOs5wU+UauKVPfkyaKYh5sdnmy1cNxQ9JZg5ylYwEREEnoOwF7DIObH26jS0GApK5KXCF5PBXhZDXWe96L9u35yOgqukxIrJSpbX+PYymJpaQfxHTDl9ddCICQidTtZWAUwW5UrkXl7Tvy2BkD6UierLf5bMdlLg6ZQAUBviIILBXXgnKqRcY2qSg2w6FBZV1Sl5KuClEc4xLg4eHry9S0OYY1ga72iQSECvSVkNHUCutuhZTWR1NCVBGhKSGTmofqFdHtdXzNJRQhodSIpEKMIKv3ULdygWbru5jqaww5Awx5EfmohhbV0d05ZNQhkgq2GmwVXSVIg4irUIQJZFFFgBAeAp9YQl2OkFHOkhdnUJWQbvgWNsP/mZRYwlYfwlf6dITE5zSGbOFi0sGmK2262PSlyZBosCgHeSQ+iI+OsqVsyeBylTKHhYeDRR+LoujxXvVrl5EgbWkDgi/ru/irvIWjyC21QVJmbhltesaVuy+vNBSKkSQTQ1cY5MJBTLGbhdjF12bRQwOEjxKlELFNT/GIwwpSa4CQxN4gwh0glilQfNDaBK3rkEEREChql0MpQSqdxVJjAnODhvk0umJS1G20KMS2BpPjH8cYjsBstzmfW8CTfQxpYMQGmbhIL+WixKAGMZqaRlNT6MKmEbicdE+gkSWjFimIFKnIoRXMcTE9cxl5psQKsfLSZJoaq5jSwlGvXNA3Q4Ny12JiVaWd01GNLJWmRdYNyXgxVmgy4ppkWm3StTqG62L4PoGuk2+32RwYYHNokEhRiVUFO52BgRKiXCKdyYBlIy2TnqpRqFTIZzIYAvxeF8/pEguV+vo6euCyfuEspp1Ct2y6jTrNtWV810XT9aRpIrjUrW6mM+imSRxGRFFAFIQIRZApldF0A80w0EwL3TQxU2msTAan2SSOY8IgwLRtvF6XMPCRcYxQVQSC0PcoFWwK3WdRuyvU2z6twCKj+ZQNB1WJUZEIIVGeR/7tztRpDr0GR2Rw6hu41aQDXdmyHI1RkUIhRsWLVJxARVHADaAf6fRDnUgKIqngREkRTRUxlhoynu7S8ExckSJjQsaU5G1JrBicmI/QdYViIU2hXKTZaLGy2kJRVexsjl7zkqJNURR2DsKN9jGG0gHne8MUciZnlyNO1Iew1DBRJ2UVriqs0+4GkCqjKRK1X0UTEaqIQbdZaels+lmknkbRdK5KzbIvV0WJtr6nio5MV6h3fFzH5VxniE3XJqt7ZDSfnO4ysnMHWdVBxhGpUgWQMHsvcXEXD60M0qw3OTLYYtTYZE3dQ1lsYoV1QtWmpY9Ti0qMDFhkvEU8p08zymJoCpqukp46inL+KwinBkKFXbfB/rdAfiKx/Fx8LLH/lBGEXmIPOnIYJm+Bgb2wVWA7+Vf/ieiZvyYMQhxtkKzuklY9uuYY6tg1DO+cYmT/VQgZJ+vS7e/N7vMHhU+/G87fk/w8ei2kyomKde0kVM+CkU3sSCdvSjLzQjf5/Z9AyfT/ZYS+z9KZU3SqmxRHxxid3o+ifO/q8guNC/zyvb9MLGN+bN+PIZF86tlPse6sc6B0gJ+75ucYSY+wt7j3JW3a1nvr/O4jv8u3l76NrdnkzTxe6NENugRxwJ7CHi40L6AKlX2lfewp7EEVKgP2AF9b+BpO4FCyS1RSFSbtMRb6SxiKwTPVZ1h3thQRisEdk3eQM3O8Zvw1TBen+ZV7f4W13ho/ffinuXvn3dv2dDIMIY4RhkHsOPiLS4TrawSra1Q//nHCxUVqg3miYZ2BYotsvUfvpEF75078d7wHfXCQ/N5pSuPDKNVNZn/qZ5DpDNf+X3+ciDSFoJaRNHtVjE9/Cb3nYY9NEk1U+I34r3ls48V1CU1oXD98PS2vhRCC0fQoeSPHwT9/gHBtjY/8yHfOJH0Ob9jxhsROMreD2yduJ5QhYRxSMAsMpV6eDXwsY843zvO5c5/j+MZxClaB6eI0k9lJilaR6yvXkzfzlykK1nprHN84zu88/Dt0g+7260P2EHkrz+smXserhl/F0cpRdEVPivi9Hp7joKgKumVjWAlpELgujbUV2psb9NstFp99hs2Febr1WkIoCEFxeJTswCCarjN+8GoWnn4K33EwMxlUTcNKZymPT7DwzPGtrJUhBiZ2cPCHbv++CTEpJTW3xkp3hZXeCqeqp/jkqU8mTgbArvwu/uQNf8Jweviy/7nw+MPMHX8SGceYW/ZtuaFh8kMVQt/Dd/rbGVL9ThspYwYmdiIUQW1pkerFeaoX5+lv2UDGUYSdyycqp5FRClvPXq/H6oVz9DstfMfBcxysbJZsaYBOvYqiqhiWzcbcDO3qBlYmmyiktx5h4GNYNlffcRfX3v1WcoNDBFFAJ+gQRiEXvv1tTrRO8Zh1geOdk0BiWWiqJm7ksiO3g6n8FEudJS62LyKR2JrNq0dfTUpPMdua5amNp0jraXbld1F362w4G9tqvZJZ4lb/AGU/zYAoIHoB/kYDf7OJ02yQyhc4cOttmKkMx77yBdzu5c2WxdFx9t/yQ/Q7HWaPPUa/0yEKAuxcjrl9EY/l5nhtcx8ZM0tTdXgoeppqqs/+5TyvOlVEURRKYxOoms7G/AxCCF79nvdx6LY7sDIZVE3HcxzWZy8kChEhiAIfM5VmaOcuxBVyDV/Bi9HvtFl89hlC38fO5pg99hjH7/k7IFHyD+2c4vDr38TAxCSnvv1NaosL1JYXURSV8vgk8yeOEfovPRev7NrD9E23cvA1r9vOUvtOaLpNfv2BX8dSLc4/9RA1u0ffELzmxCDT0QBezQEJdbXIXU2Hwdln0Q8ewj19msf2p/j07fCznbtZPn0qud++Zow/LX1je/3/6rpf5ScP/U//XVnj/WOitnSRx/7r5/Bdl9bGGuXxSYZ3T1McGWX8wKFtNd3LwfrcDDKKqOze+wM7vk67xbmHH+Abn/hPKKpKHF25ZqOoyfUvjkKEULbJbk03GN23n069TnNthYmDV3H3z/8Kp++/l26jRrdeo1ur0Ws1uPaNb+O6N7/jJbfF7zs8+eW/5Ykv/s1lloyQqDdzgxWaqysUhkdI5fO87p//LOXxiZdY2yt4If5RSC0hxN3AfwBU4ONSyo+84O9i6+9vAhzg/VLKY99tva+QWj841Fd7VJc6NBe75Iom/v3n6CkQTRTRNEG+bKKWS4zsLmyrX6SUPPvACs1NhyOvnSBTSuTN5x5fZ+HpKoUhm5E9WxlHmsragydx6x12v+UG0gPfmy/494NOGPFIs8uqF3BDPs2BzMuX+cdRnDSaSFg622DuxCaNNYdM0cR3IzwnID+UYnAiw+ZCh+pyl8CLiMJ4K3A0US2ZKY1WtU/gRljppMAlY4hjSeiFDBl1smENZIQl+xSf/Ftkr0egGvi6hq+pfOPmm7mYc8j1Nolji1zKIqf0UTsxHSckHw+SEmVsw8IwNcKwSb15msh1rrhvqm4wdU0ikTXsFHOr55ivzuIVD/Lo/lto5UrYroNjpWgWBl70/0YcoioqehwRqBr9F5wayrpGIGMGdJ0Jy+Bsp8da+L3lStn9HmoUohsBV/dPMB3NorjQdkqU9Igbi3mymqDjNFnQFglsl0bf5Ei+w47iHmIc6o37WI5KrG4OI4NEkSYkxJrB/cO34akm83I3PZEm3pqs21GAKSSKgPqWeq1IxNVuQEOoaFKQ1wQlSyVSNaZtg7cqDqWKhSYqbM73ODF7ivvPfovs0iKebxGoGtKASFEJIp0oUsmGXVAgtFSy430m1QUUEePm0kSOIOyqeH2Dvm1jZX0s2yUMNcJAwzB8MloPy+/TWU3j1w3CThJUqyKZuGWVwUPVS2M5MLDVGwjDGqYxiWbGxEobGUesNefpRRplLcI0VFRdpdpPsd7NMD1kEAceqqiD2ERKlyi+GqlfTSig6/Xoug7DmSaWfBxNy5PJ7EdRjKRLSxunXLqZ+2cVPvQVSRiDqghKaYNqx7uicsjSAsKsiWlGeDUIg0s3MXpOxbV01JTG3mKK9YZLZ6mDfF7ullDANAXuCwcll2wrNVPF0lW63edZbhl99PLjyLQFeowQLkJroqkGBJvEGERGDqmlsHoPEitZ3MwbkOo4kRIiZAAEqOxmsJYiu+YTWApO2qVrt3GUDhl/gDdtrjPd0dCkSVVtEltdjMDi1Z3DBEg8wNt6njVXWMrPkI08SrHBOXuGU6kZimGOGWuJ57cNq3GKKXcfC9InULugdkHtgXKpmzctJIN6jOLpqH1JhpgJAkwjQtEkERCS2KEV+zGuFLgI1Aj+Lm1x6P9l772jJMvuOs/Pvc+Hz8xIbyrLZVV1tfdG6m51C4EMMkiI0SDBMuIwsAedmYXFDWY4szMwLItZdoGFM2eBBSQYjQQjkEWtltRG7W15X+ldZNgX8ey9+8fLyqrqqnZCZhD1PSdOnah8cePFs/f9vr/v9xsovNYAOklwhSJvKapDPXKWRvgmSWSQxhITOBkYdDRMnyrhhRnRlobGFoGXIi/JS0mkIpUaU0mkYqtztOsktHPJ1vHihRa5noXYtF1LhEEiDAJDoqWHEjaJtHAMTZxrE7sblN0VjDTlFh0yCOSlIjFi+mQDT8VEqcesvZ9Dxm34Rj8KTT1tUdcbdM0uXbNLYARUonGaXosNZ4VURMRkRF4kQ2wtGEz0pupEI9FsjwNu7wYMJwp7k9CRmy9XaWaiCFuDEi6LLZdYG2grx8KOH6LmpzTbHfzaOr2gR+rk0JYNaMRmqLJIYhyVYuiU1PfRSYSyHIxiBXdgkCgMsvwYNKmUpN0uMuwh0oSMOMwye0Sa0BvbgbazjmKv2+WuRx5hoLbBsd27qQ0MYEcRbhRhxTF+LruXmnGCHUXYUYSWgti0SFFgGDhhhNcL8Ho9zCThxM5pVvtMTENgqZRdp2r4tiSN2gyt+witt3qFhRbkw5RESnzHpJE3WC9JfFcTWy79SZ7BUFLuBvQtrCBsG5RCx5daHQnHwd23j6SQz2xQV1eQb3wj0X33MTo+jus4RO0mjYU5Vk6dYGNhjjSJsVwPy3GxPQ+VpqzPnc2uH7aFaTsYlkXQbrN47PCWjVmv3Sbf10d1Ygq3UGRjcZ712TMva93zShBCUhkZIfB9tFKXFHheikK5SOrX6SXZg5jr2ZSrQ3TqNfzOayNWXw2mIch7FkprvJyLVyjglsrIfJW0U2NspEScSuIopDF7goUVn4HpXeSro3TqG3Q2ajRXV1Bpws6bbydXLlNfXKCxukyuVGbvnXez/943kyuV6bVbrJw+ycKRg8RBj4Nf+RJBp005bzBhLXLWH8Ak5ob+JVaDHPXIox7l6KUvbwUMWWbhyK49GKZFp1GnvjjPnjvu4vo7bsbrH2Hh7ALHn3iUM88/s7kfYHhynG6nS6fRRL3EIsy1NGUnpqtzOAS8aeAQ47kWa8Z2VuwZxMoLjPQ7+Lvfx4ixhLf0Ndg4SZgarPTfjaECxtXJzKJUCNJOA2PiOrj3F+jlJtnY6LBy6jizB18kVy5zzwc/jJP7zsiVBGDpBXj2L2DXm2HmvEUXSQiNOejfnikgvwlI4hidpltFcKVSgk6HXKlMt9mg22riFoq4+cLryg2Jo5D64gKVkVG0UnTqG8RBgNYKN1+gvry4pUaxHDcLE08SZg88R6dWQxoGgd8h9DsEfoeg08H2PGwvR6/dys6NUyfwL8iKyZUr7LrldnbfdheTV11ziW3POfvWy24HlWSK002F1dMrT/OnB/+UZ1aeoRVlhfayU+bm4Zt59653Uw/qLPlLjBXGWO+t8zfH/4b13jof2PsBgjSgE3VwTZecleOGwRu4d/Jenlt7jofmH+L5tec53TxNL+nRTbrcOnIro/nRrRywZX+ZnZWdxCpmujTN/VP3c9vobRSsAgX7fHd3msS8sPw8/+Hp/8SJxgnyVp5rqteg0RSsAneO3UmQBNw+dvuWckhrTdTYoPPJv6X+1YcJXngBY7OQFN73Fqxf+VccbZ9krbvGkr9EI2wwkh/hjsFbOd48wZHmMaI0Yq49x4nGCV4KKSQCwYev+TB3jN7B7r7dLPvLLPvLPLn8JE8sP0HJLmFKk0V/kWbYZNAb5NrBa3nXrndRtssY0sAUJpGKWO2ucrh2mF7SwzIshnJDvG37216WXFQqZeHIIRorS/RaLdIkxiuWCf0OnXoNw7QoDQ5TGhyiPDhEaXAIJ5cniWMay4u0a+topaiMjNI3Ok4cBnQbjcwaSghmDzxPaWIMa/sQfuxjGzYzfTMsHj3M4Ye/TH15kW6jTqdRJ9gkaF4L3GKJib37KQ0OMbFvP+uzZ1k7e5rORo3A71BfWrjI0i2NYxory8RhwMDEFFJKmmurRL0uQkqqk9uYvOoaSoNDW/kv3VaD1TOn8Yol9t5592suDM62ZklUwkh+hKTR4dBDD7J88jgrp08QdNqZ+klr3EIR07YJOp1XLMhbrpc1oG7a0RmWxcD4FNWpbeTKFaRh4OTyNJYXqS8v0lhavCgTyiuWKAxUcbwctufRWFkm7PqUBgZRShEFPdx8nol9VxN2/Ux9YJhbhFdtYY5jjz0MGsb3XcWOG29lbGYfh776AC988XNANveoTm+nNDJMJ59yfG/EXZVbuNrZTbfZRJomA5NT1NIGv/78b7LkL9GNuxTsAt8/8/28a8e7UA0frbOmm3bqc+b0QeY+/xBLRw5v/RbbyzEwPknf2DhD0ztZOHKQk08/gUoTdtx4C7e++/2ZhV9tDb/R4NhjD1Obn8W0HSb3X0P/2DiGabF88hizB0GBclIAACAASURBVF64dGMLgZn3SDpdpq6+lpFde1g7e5o4DBjfcxV777qH6uS2Sz93Bd9wtNZXsd3cRQqdl0MSxwTtFmHXJ/D97JxPE1Ca+vIix594lOUTxyj0D/A//dYfvC5V46/9lw/yMet5APLK5XsfqJJKTfmOO/gL45O4Z76L7+kM89aHP04bwc//WJftCyVuOtbHnjveyD0/9GEKfQP87gO/zt277+fayRu37pvfCZg/cpCl40d57vOfRkiB7XqMzezjzvf/ILnSa8+k/kbgQsvD/fe8mRve+r0MTk2j0pSzLz6LVyxnzYB21gxoOe5l5zhaa2YPPM/yiWM89w+f2VKNje7aw3t+4Vc5/vijaJXZo6skRaUJKk2Jel201oztuYrJq64m9H2ioEdlZAzTyva5StNvSPZVHAaEvs+hhx7EyeXYfsPNFAcGM/crlSKEvEKafh34hpNaQggDOAZ8FzAPPAl8QGt96IJl3gZ8hIzUug34P7XWt73a2FdIrdcGnWqCFZ/G2Rbt+Q5RlNKIFcGajxEF+O2U9YZC6zpa2OTNIhuJQkiQQmFKHw9BMy5giojRUpck1ay1PQLhIrLocCTnrZUuNmp4yfpojaUjPDPGcSUyDnBtxc3/81sY3Vl52c9diNpiB62yfCPDknhFC4FAmoLZJOb/+Owx1te62JGmZwue2enwnv4y/+7qSYa8l3849Zshi8cbPPzx4wR+nKkw0qwQPjhRoLXew3JNciWb+rJPrx0jhMZKlrGMlIqZTVKxbGSxRFKs4hVMqsUVIsunm6QsWTYPHD/J1NFnkDolMU1Sw8CKskluq1BGCYGZJJhpQqW1gZVkxbqOl00ICr3Oy/4GJPQmc4T9OcjHdCiwHg1wxthOKfS575kvZvupbEOcosyE0MtByyD/knHD4Ty6DBWzTs7tgQe0NYZMcSshVk7hBy6tTolVOUx9dDsL7jaMdp0eLi2rzOjGHHvqh+hjA6/Xy6htS6AtgdZGFnTqgtYSlUg6SQHzYIBIoVsqsFCdpFYepF4eoF4ewIojJpfOIJXK8oCEwOv5XHfkaR6/7Y307W+xNzzIp8W7OVC4vMdwQUeMxXWu3zhM1W+R+AXM2Xlka43EcpBJjBPH2InG0g5R6hPLPOu5cUKzQGS4JEISM4gW/dTNGJOUnOiSaJNZ6VK325Qqj2EoiZG6GHGRcpgHDMZEjUQkdM0IrVxiIekZAZGRkghIMRCpwunlacSDNPMJJbVOf1zDosuy109X9DMUrGOnYKYSIxX4Dizl+tmXpBiY1NI+rFzIaHGJwxt7CJSLY4Q4IsCSMWeDCsJbIO3sJBeDl/ao2f0XKcYgU5LZIiLgUmJYoBiyWziywFJkYgiwDUEn0igy7mW/YfJhO8c+08LJmQQ64RQpi4aB9kx0zkRUHObTlEOLLZaaAbdN93HPUIkBofjc6d/gM/UiKu2jkzggeoCFlx9lYvg4qfCZFscYNOYwjASVesTKQAhF2cheQ3bARxfewYEoJkm2Iy0TQ0bYuoZpP4QVNek5569beWmQ6oSqqVEafC3wU8GoIwmVZDW+jO84EqxhEhUj0waCywfzWgiK2kJogwEcQgWOgKKpKZoxGyKknthsqBAXiSsETZ3QQZMXsF+YGFqQanC1IBSafnrMA0pLVCqRSjAsEuaE4rh58aS7mCo8rVi9oPAltMbWmTojkgKpNZ4GXwr2RIq2UKyYJukFl/ZcYNB1Ul7hco8jLArSY8bZxnRxG71uF+3HSMMgMeFAcoJA91hKauePNwQ2FihNIGPM5OIvMKVgMHUJRYovEroyRQsYCyRKCSoJ9AKTgbrH1adKyE0yLTYUsalIDE0qM6vMsm9hKIHvJGyUIrqFiJabEliaxNA4scSJJImpOD3aJTE012yYlJXCU4q8VhQTxb2dEDt10dLOApyF4HTD5WyrSJQa2DLBs8DNOeQKeWqNDu1OuunS8fVPVrWUGcH1GudoArDTzTv1ZiBKaEiG2j121to4UYwVRTQ8h2bOYbTRwUlSDJWRTqkUCK3ZzOlGOQ7KsSFViCjCiGM0EHsuaaEAxQIiCHAXly9aj8SyMDaDq+Md28F1wJCAwNCa4p69yCgmnpslnptHra/zUohqFePeeyjk8/RUgjU2TprPERmSs8eO4KuERCsMyyKJIpIoyuxLKn20a+uE3Q6rp09tdciZlk3/+ASm4xKHAXGvRxT00EoxuG37+XHibCwhBPvecC83ve1dr9jFG4fBZjegQEiRzY+kQAgJvSad5z/D8pHn6C6fQWlIlSZMJPWkQE4GCJ2SMxPyZkhOBOSMgFwhj21JlF9D+XVKuoYojhB94G9Iy5N4hfONQ+dyErRSW9lWoKnNz7Fw5CCju/eQr/STK5dxC8XMHkNljT3S3LTkMIxvyENVa32NhcMH2HvXPa+r8zns+hx//FGOPvYwcweeZ+rq61g7eZhOu4vn2QxUy/RV+6juu5WZu9+C5TibtoxZfkQax2ilKAxUt7aNUimPf/K/8tgn//qiHIlcucKNb3sXw9M7KI+M0jcyBmS2Tq31NRaOHMRv1JGGwcbiPM3VFfLlCovHjtBYWcIwDdKXUez2j01Qrg5w5sUXOPdcVR4e2Sx0hnRbTfKVPrrNxkUh8JWRUVprq+Qr/QxMTiHIGpT2veEe6kuLpEmCVyoxNL2TvpFR2rV1Bia3obWi12xuPXj7jTppEjO0fdfWg/l3MuIgoLG6THlo+CLF/3Nf+AwPf+zPiMOQYrVKGseEvk8cBuT7+um1mhd18NpejvLwCAPjk8zcfhfloRG8UonmyjLtjRprZ05RX1qgtbZGfWkhK1qfO19e5dosRJanqF9CmAohMwumfIFep7XV+e4VS5QGh7nmvrdQndzG0omjHH/8UU4/+xRxGODk8wyMTxEFvczKyu+g0pTp62+kVB3M1IHLi4S9Lt/3c//+oryTC7HaXeV08zTL/jJPrTzFIwuPsNZbu2S5IW+I37r3t5hxptlYWkBKuZX98sIDn2P1zCnGdu9lfN9+JvbuJ1euECQBa0tzBMvrJEFAHIYIKRnaM0NYbxF2M/JCk9mC5UplTj71GAtHD9NYXsRvNjAMg+/6sY+gd1X5/07+JUudJQBm27NsBOeJgLJTZjg3TKxiNoINfu6Wn2NP/x62F6dRZ2bxV5f4zeTT/P3pT299ZsAdoOyUWfKX6CVZU8BUcWpLifamyTcxnB+mE3XoxB06UQeN5v6p+6n2cggh6B+beMX9/lKcyyDsNhtEvd6Wtdk5tNZXOfHE10BIFg4foNtubtrBmnSbDdZnz16UFXghLNdDb6p1LoTt5bYI1wth2s5lyRnb83j3z/4KWinW52Z54YufpTY/i+W4VKe2ka/0k6/0ZfeSfAEnX0CplDgIiIMAISW261EYqFKdmMIrlbC93CveW1rra3jFIpZzXoHV67RJwpDiwPnGy4Wjhzn97JPMHz7IyukTJOHF62+5HkkYorViZNcMQ9M78Bt1xmb24eYLWxa+0jxvtTuxbz9uocDcoQN8/g9/l85Gjb6xCUZ27CJX6cOybYrVIa6+981b9my9VpPm6grN1WWEzJTH+Uof5eGRTL2t1FajS2lo6FUVlueUbbbrUR4e+Uffh1vra7z4wOc4+dTjmVUcgBDc9LZ3suuWO5g98DyzB16gtbZKu7b2sscCwHVveTv7776PsOsTdn3mDh3g6CNfIfAvrVF4xRJ3/cCH2HnzbS/bKNBrtwh9n8rIpXmGWmtUmmC85HlGa82Jpx6jubLMjhtvpVit0m3UefDP/gvdZp3b3vN+tl9/8zek+HwF/2Ng4cgh/vpXf57y8DBv+uEfY8eNt2z9TWvNscceZmTnbspDIxd97tjsM7z3wR/mttxeng5OcK3YxaH0NAHZ8T1Wy7Nr4Z3MdSTVymd48qo6v2L8CO9414/iFf9pWge+VrzwwOf4hz/+vwEYndlLeXCY0O9w9sXnsF2P9/z8v2dsZt/XPb5KU1ZOneDR//ZR/I0aYa9H1OvSNzLGDW97J7tuuo0zLz7L0rEjGbl27Ajbb7iZ6uQ2nvzUJ4BLmwIuRGlwmG6rweS+q9l27Y1YTtZ8uHLqBM9+7u8AmLr6OrZffxOD0zsY27MPy35t1rBX8E8T3wxS6w7gV7XW3735/hcAtNa/fsEyfwR8WWv9sc33R4F7tdZLrzT2FVLrteGB//4pXvj459G6t2lFtxlkz+UDXIUxiE43QGik8JBGFenehTYHSUVmkySEJhYJDWeFmlRM9qYw0oSmkVKzFBgtTCIEkmQzYNyRbfrkKkk8QZRWEMrBVRJTC0pa4iK57d07GdpWwnINTj+/ThKmDO8oUai4BJ2YlTNNlk+1WDzeuOy6m7ZkMS8Yqm9a+pFxKHpzvXsVi7tuG6U8lCMOUk4+u0qhz0UrzfKpJp16dmMrVl2mrx9EC2jKJs+3zhCsreCtr/HVnXuJvByVOGLYj3liaIylwayDYXxlnmtPHGL77CkGmg0OzlxD15SUG4uYcYySEq1hbG2ByLBoFPsxRQpKE5o2Whjkww5IjTJBGYpQ5jjm7GYxHaVplNFCInVKSbcxrZTBZJWl8iQ9O4cQiljbXHfkMNubZzDMBoIUqTV7G6e5dr7BXH+BxEwIXUErZ+HGKcVuwHN7BhkY9AlTQaAUVmKRb+RIfQuVSnTKFoGZTalfbmKtL/3bZpiD2Ax+1cgLwh3OL5+NLfCLgmafx3DdwIgidBht5W5AZv+hN63fxAUF3Z6b448++L8SmzZCa37k+c/iHfch9tFWDm3nEK7DWLdNJTjA2WZ4wbpqCoUOMpVIMwGpSIEwcpB2QpyYpP6lHdKxmdIqRMQGpAJ6TkIqMzWGmWTkgtDZ8WeqLNi96yWkQmCkkshU9JwUKxX0t2zsRGImgrJvbRXjXw8CK+VLV6fUippy3CSRHhvJXvL5w2ijRyJTlEwQyqQQaAZaNk5kokQeXxTJq5Rt3QYboh+LLjI1UMqiZ5RReY0TKmJDgEjQMmGjO02vtx0FlFlEC0UqLDyjxzZjL0UxwXdHbVS0ghSSnJEVFC1pI6RF3ihtdToFMkbZKVIr7NDhlLNIIEP+cOSvOOUuvsKvfu3oa2vMFKQGqWBsQ/POZxT7TkHrtpR4u0bkNHZzADe+Bp36yPVVzERjpSl6uY1Sivaog+8IRJoiE4VONceHDA5MmYQVi8HYpK8nKXcThs+06BQDWts1K1WoC03TyEiFmpJINB0laGlJG0FVKXJodqkYX0rqQtKnFLekIV8RHse0zbnjNrDVloPhWJyQ04pYCEIhWDUM9kUxt0QJ/YmgmJiEpkvFmqZhDaGjUdJUkkaaOE5J4hTHUITaxLZz2Lkc7dinPrfMjL3AW62HEGaMb0hO+hUeO72P8kADc7RFokzS1CS1YgbXTByVcioukMQ2OjZpeCmNfIJMBa18kl2TgamGSanhIqXCMDNFljqnd9ICM5Wo+CUPsXZMtxBiKrBiA5lIpJnS1SZu9+IH5WI5wh7ajhjdSa12BlSKVimWkqgkRZddZMFFrdZQyzV0WyFe5rwTQiHRpPq1PxwXB6pUhkczxUyjThyGW8XLod17sPJF4jSlOjqOVywyfOJPqTQPETkD6OI4kTsIpXHE9rtJzXxGSiRZJ5kwDE6+8CxIA2HZYBgU8gUKuRzd+gYDfg/VaJA2m7hXX4354kHSv/8M1sgIwjDQm0Xb41PDHA7PFyFMKUleUmA1TItcuYyUBs31VYantqPRmfoYmLzqGoa272T3rXdg2w6p1tQX56nNz9KqrVPJ5fG0QEtJFMecOn0cr1AArdGmSRpFpElMEsWb/2akkVcs4ZXKWLZFa3kZM4pIVcpabZ3V2TMkUYhpGiQvIREM06BczmPnCiilMU2BKTTtjRptP6ZcMLGlYqgQMey0Gal69BsNjKAGP/EoFC9+GH5ZqBRaCxB2IDr36mZzLNPNbOPKE9kyRz8LRz4N9dObNmsVWDsKURsQMLQPZGZ7Q68OjVkojoKdB7uQZbw5RTBsCJqgEigMQX4ISmNwwwch9+p2LP/UcU510lxdZvnkCXbfdsfXZb12DmG3y9kXniEKAsZm9tE3OvZ1FQ7jIOC5f/gMfr3G6O59jO6awW/UWTpxjIHxSZZPHmPx2GHW52bZefOt7Lj+ZtbmzrJ88jiGaWJaFm6xRKe2TrE6iFvILLaqE9soDQ5x5oVnefazn6LbzOa/zU37rpeDaTsIKYmDS5V6/eOTfPDXfoco6LF88jh+o05zdZnmyjJJHBF1u6Rpyv577qN/fJJeq0kaxwxMTNE3Or5VkEyTmG6zSRKFmeJjZYna3Cxojd9sbKqRHGzXI00STj/3FO31rFBquS75yiaBpFL8eh3DMkFn5JtTKOAVilx1932UNxUmXqlEr9XCb9bpNpv0Wk3atXWaaysMTExlFmBejr6xcfxGnYf/6s+Jgx6m7TA0vQM7lyMOeiwcOcS2a2+gOjVNt1HHsGws16HQN8DGwhxeqczwjl2ZWqrTob1Ro7W2wsKRQ5fYxAAYpkllZIxSdZDy8Ahju/fSWMmI/MrIKLbnkUQxzdVlhqZ30K6tZ8T5OUJHwMiuGaqT04DGyRdwvNwW8XvuGfyVjss4Cjn7/LMcf+JROhvr2F4O2/Wwc3niIGDhyEE6jY2t4vjSsSPc86EPc/M73vPaju805qNHPsrCkUO80bsJp1ykaBdJOl2OPvoQsy8+fwk5Ig2DkZ0zrJ45tVUY7xuboFDpY+7wgVcl/C4ey2R4+04GJrdRHKhy5vmnWTp+FIDxvfu56u43oZKUMA1pa5+h4SkOFhY52TjJir9CkAYs+8ucaZ0BwDEcZvpmaEUt5tpz/Og1P8r37f4++p1+RJgSdn0M1+H/OvQHVLw+fvzaH9/a/lop6suLCCnJlcoopTJyqdHgz3/+32TFutEx3GIJr1Ckf3ySa+57S3au1TdQaTb+2uyZjKSr1y8p1HmlMv1jE0gpEVKwevrUFlngFktUJ6Y2CfsEy3UZ2TXD6K49jOzcTa5URqMJ2m28chnTtECIjHBZW6G1tpq91ldxCyX6x8YpDQ4jpWTu0IsZuV6ukCtXcHJ5tM7sbz/3+799Edk7vGM3173lrey5442vahP/rUSWw+zjN+vEQUCuXKHQ10+v3eLww1/m4FceoL60QHlwmI3F+Zcdx8nlUUoRBz3cYonv/6X/yND0t8Gm9ZuE1voq67NnqYyMXpaEPf3sU5x5/hlKg8P0j43jbapY27U1Vs+c2lJ3nYNp2ey69Q6mrrkO07RIkhiVJORKFaavu/EblpV2BVdw6KEHeewTf0V9aYEdN95CFPTotTKFaG1+loGJKX7wP/32RUpsISTz7XnGi+P88Qt/zO8/9/sXjeklJu//hwnQik/et8Tu4X386bv+4jtOJdPZqNHeWKc8NEJno8bC0UM8+Kd/zLZrb+ANP/Chixoq1ufO8t/+4y8xvGMX3/tT/47myhIbi/OceOJrtNbXKPQPUBke2bLrE0IwOrMX03Y21aRLrJ89w3Nf+DTdZoN8pY+RXTNblu2zB56nvrSwZQUoDZOh6e3M3PFGbnzrOzFMk9b6KgtHD7N49DBCCLZffxNJEtNrNUmimCQKOfviczi5HLMHnif0L7at33/P/dz2fT9AZXj0O25fXsHL45tBar0P+B6t9Y9uvv8QcJvW+icvWObvgf+stX548/0DwM9prS9hrIQQPwb8GMDU1NRNZ8+e/brW658TPvoH/xsbX3oBIWwQDlIb5IIWbtRDakFseYSWh6EUlcYJVss58kGEnaZEpsFqKUdiGJgiZmd5levL6+TNiFRLjjQHcY0Yt2JRlyWGZINyUOfQ+hAboYdg0/oITaBMtKkZqzSYNLuUZIIhFbEw6VLiAf+nIZp6xd8iJJQHLcZ25TAKFl+ZbaGQlKRBmipSPyFYjjhqpQzf1E8jTDl0uMYthotbtvHqCcMdtRXtURrN0VrrgWdgTOWxxnOEAza/e3ieJEhIPAOVgPATsARywuGqhWOI1KDbV6ZWrjD+wmGqq4uMBYsMdy9vM9QxcrTMIqkwMUjpWTlcepTbbbQ2iAybjijQE3mWvRG6poelEqw04db6Qe4Mn8dwY3QIwpKYjqTj5WjFHg8XbuLB4vXEQmCqhPcf/yLff/ThS9ahnodnt/djxTH5nqYUJhSClMQQRJbFjpVLs0uW+qDjSratKowUIlNiKY0WgsiQzA94JAaUuj16jkEjZ9N1bKqtBKkUqQGj9QRTBVgJdG1js9M/G9/Q4EUxdiIykmGzQKoEzA/CI1fn6Az3E3s2w12TajtPXvRoVALWvB4bskdPpmgdM3LEYrA+gjQk5kAJEWvCehPQSFOjUgkvuYy5lo82IiINxVYHL4kxE6i29FbcUTsHG0VBIkEaFqk0iaTB/KBko2Iy2HbIb6o9UAIjyIr1WmTFYUNIlNDEUhNtHnhWILOivgSZgMya+HHKHqZjYJgS4ULH9SFcouorBs2AcctnlB4He/3UzH6mp0YxrZRYKiJDoeU2Hn9qnajeQupsO2s0jUKCqywMN0AqgUwMiAQy+voKgV+6cZXZkfOFssk4xtBwxr6083umW2JXw6cYpbixoKQ0A0TkU1htVegqk5Ayjr2D7cYUcanJI5UTfK14ipqdPeS7qc1PrX+AofEermpjnjmEmm9ysjCA4+ewawGlyKAc2dhxSpz4RDomEYo459EteXTslOHVWYbOXGqL0izbNIc8VF1jphpTKUrdkNw5Nda5A1YL7GKCYSt6G9YWWy6kRghQycspD84Tt04lpjTVQ5qKoGFh2goESFMjLYWwINUWPSE53emnJwx8YTEvyqAhfknxtmj38OyQZponUS6m1FiGQhoQahtfe6A0aIVQChmFCPU6cr8uA9uWKKXRGtL08nMDIaBYzuF5No4tqW+0iaMUUATheT1vLifp78+TSotk8+9CK0zTIJfzsAd30je1CyElaZoSRxErJ4/QWJzDcly8YolcqYLf7qCFYHz7LoTnUa0OMViq0H/NtcjXYR2VJslmSHOXKOjhFUs4+TzN1RUOfuFTKJllPBibVoBag7U5eZemeYHCJ+t+3nnzbZd0gyVxTHT6FMFjj5PUNkgbDcyBAYxKBdIe6thXSddWSOsbWFYby2mhUpfImEb5TXSnSRqbBOsCd8hARzFxzyTxs3gcAOlaqCBrXBGeh+5l5+vAv/7XDP0v//ai9VEq5cxzz2zavNTptVuM7JwhV65kNly1ZbqzL9JbOkncWKYgOqyKcezSAEII0jTl7FwdrcGxDXKeRaMVvGK90pSZJSkIDNPE2MyTMkwTUyiMxEcnIb1I04szgtM2FInKFE5DAw6jfQaV9iFWug4jXgdDKGyZYsuUUa+Na1xGKWnlM0IpCSBfzV5ePwQNCFqw+AzsvA+u/YGMKDrzSEZCtRZh8TmwXLBymy8P2svQfh2E+/jNMHJN9n3djcxe7Zr3Q3UGCoPnl9MaOqtQHH7tY1/BPyv4jTpHHvkKe++6B69UorOxweqmYqjQ18/SiaOkUczIrplN5Z0iV+kjaLf5wh/9Hm6xdJFNmDQMykPDmJaNncsTdNrU5mcv+V4hJLlKJctpCcPLds0iBG4uTxwGpMn58/CcyiGJI0K/Q2ttbSv4vW90nDSJUUqRK5WIul2WTx5/xaIzgOk4FPr6aa6sbKopz6sKpq65nqvf9F0sHDlEfXGeqJeRdfvuuoeb3vHu102GxkEWZt9aW8FvNqgMj1LoH6B/bOISy7//0fHnP/dvWD1zknf8259n5va7too9Kk3ZWJyntb7Ko//1o9TmZ0mTGCklg9M7WD5x7JKxSoPD7HvDPUzs3Z8pdcMArTRje/ZS7K+SJjErp04yf/hARq5tbLD9hpvYfeudmdWr69Cp1TICeGIys3OzbBBkpOXKMnvvuvsiq6k4DDj97FPUFuZ4+u//NrPJewkm9l3N1NXXMX3djQzv3EWkYo7WjzLfnudw7TCHNg7RDJv8aPG91L/4NPXlReKgd9ExOzi9g9233kFrbZUkijL7x5PHL6tGMUwzI4Pvvp8kCul12vTaLdZnz1yixJNGliHTNzZBoa8fN1/Acl3cfAFpmpx57unNnCmNUgq3UODuf/kjOLkcTj5/kXLpW4VzylTTtsmVKv9k8z30OQtnKdlYnEdIiZsvkCYJKkkysr7V4plP/y1eqcT2G25mav91V0iZC6C1Zv7wgUwd6uVx8nlK1cHXlZlzBVfwj8HG4jwf/cWfxi0UKPRX8YolAr9NoW+AI498BdvLMXP7Xczc/ga++pd/QnlomHf99C9mzT4q5kOf+RBhGvKxt3+ML89/mZ/5ys/wL2Z+gHvzt/Hjz/4Uv3z7L/P+Pe//dv/MbwjiIGB+0+LzhS9+9pL70fCOXbz/V37tsufvQx/7M574249f9H9OLk91app2bZ3W2qtbrI/v3c9Vb3wTu2694yIrQ60Up597mpNPPc7Om29j6urrXpfd80uhtc6sYeOINE6wXXdrjnkF/7zwzSC1vh/47peQWrdqrT9ywTKfBn79JaTWz2qtn36lsa8otV4bWv4GH//M/85zT3yF4XWLQTsHowP4fVOsyszz2NOKASPi+u4ST5+ZIxotkLcTems+1VM9+pcdGjmPlfJL/HA3FTg2Ca5MCbRBpE2E0hTCzOYglQIlJFJrlIDgMoVv0IyXa4w6ElO6CC0RuodnpEinwAm1i1XpYhirWCJiWfXRL1p80HqQDi5H1SQv6B18Mb2JmeAs98x+DSUVyhTgCb5QuBMaCccquzmxez+eMBi3WmhRZz0usbN2hlLcxkoTnDTguuXDhMpkyS6Tj328uIc0YFdhlcV2gUaSdaSdy+kBcOKEqfUW1U4XO1E0cw49xyCnA4bXQqSGRMJSFYSpmVh87d0Cumr1hQAAIABJREFUGwUodaHrQC4E84J7USo1qSmwovOaoy9dK1i8VfCObpMSKRro01DSsKyrfCm9ljw9xsU6o2ID0Kxu5DjeqpDi0CdS8kkNa71LlBgcrYyD7ZLTXRJLsmJ7dBO4c/4EqZC0HJdCGOPE0N+NOV3to+t45JOEU94gfzX9Pt5sPctYQVDI58l7LmVXcvXCJ0lCn9ZGSkmEFKwQoxPBqqa+6mCvZ0WCyITF/kxdExtgKOhvQ2mTV1FkyqgndnmkYy7NVnYDKwYtbjrRwE2ybVDPS2pFi0IgcOKUPj/e2madnAmVKto1SIeGsGwHSwjC5Q28ro+jFCJJ0XGM6vXQQUDlfe9FlkroKMboq2AND+PMzCDGxwmbTeTpMyBAmBbWxDjdSoV8Po9lmqwuL3P44EEOHTjAxlpm6aKl3FKe2WGX2FCcHGszMT3JkD2AEQsqxw5TXjzB/d7TtNMikbQRUiANTVWv0khzPNK9AceS9Lshrdil5htYcZNmaGGbAtcWuKZiwKwz4dRwimUCZ4yOrKCcPvIjw8y2fPbUHiHveqhcP0+0DVq+yclna1SGclxzxzD1tXUOOGus5EOaOuUq1UfZKWGYeZwTBmvD6zxiLnJAdTI10QUivnOk4eVgKMl4vcpUawQn1PQ3JdVah3LUQ/RCUkR2XZECjaDPD0gMQWibhJZBy3HQl+nGyUcxU1aPSiElli6+smgLk/nLuHkKYCgvcT0Hs1hEekWEU0C4JQzToL+/RM4RBL0ePb9L4HcpEhItr2F3W2hTogxJqDWnmzGVwRF0s0uyvELSC4gNSWwaKAFOnGIqvbXvfcem42adtWiNG6dUugFWqpCGiT8zSdo3AHaB3tI8Ig7IDQzjeF4WIN3rkoYBhmliOy4iVZiGgSkN8qaFPHESA8i7HkaaZSqJOEUEAdH6Om4QkkpJYkhUuYRVbxCUSySDVSLLJDQkkYBdqcQsFtlYXUF2u8iOT9RXptLyKcQpo7/0izj79iEMA3N4GOm8Pqm/TlPiuTmis2dJm03SRhNhW6T1OghBsrpGvLxMsryMRmc2de02mCZsFqW866+n8r73Ep44SVKrIWwLYdtEp88QHDyIDkOEaWIODmIODZGsrxPNzeHszoJpk7W1zc/ZVH/iJ7DGRuk+9TTpRo2kXke6Hv0//EMIx8kynTYJRBWG+A8/QvuBBxC2he4FqCDAnhgnXlhEdTe7/Q0Do1QibTQu6loXnodRqZCsrMDmw4e0QdoGwnGQlsQeKREt1ZF5D6tgYOZSDCNE+T5RrcfA3g7O5BAMX0XzQBtDNSgWjiHcIkiZqYL6d2TkjVvJlEVJAGErI3PcUva+tZipgnIDsPstUBqH5/4S2ufF9FFqsBoWONQcJEwt+vOKgZJkQG5Q2H49a0urNNdrGEJjCsXk9DD26rNINGJgJ1nYZJoRRCoB04Ph/WDn0NImJlN24K+iVw4hBSAM2HU/3PmRTM3Uq4Nfg94GFIYzldPGqezC45TALWfkkfkKD0wP/w488B+y9YGs86A0DoYFO+/P1i3uQexn/1peRoK5lUxFZRfAzmVqqsjP1FatBchVYcc92ba+giv4NuOxT/wVK6dPMLbnKsZ276VYrW4qIs9fo7VSrJw+Sej7W4qr2sIctfk5OhvrmS2laTA4tX0r1yALgt+J1mrLrkelKdGmWszNv3qmxoU4V6A4pyrptVtbdl65UoVcpXJJlsI5u66g02Zi39VXbKdeBk9+6hN89S//BIDdt95J//gknXqNpWNHtojEQl8/e+68G9O2iYIez342s/F598/+MrlSBSEEpuMwMDH1be2AjoIeoe9vWcDFYcCxrz3M0cceZu3sadAa2/MoDgyi0hTDNCkNDuHmC7Rr68wdepHS4BDbr78Z2/O2FErdZoPHPvnXJFGY5XdYNraXY3jnLkZ370ErTRz0EEJk+S9dn+u+662XqF7W586ydOIo1cltWQ6UYWIYxuuyYL2CK7iCK7iCi/FyeZELRw7x4oNf4PjjjxD1zjfh3vevfpwdN9xMaTCzpI3SiIJdIFUpv/Hkb/CxIx8jb+XxY5/Pv/fzjBVe+5x95dQJPvcHv4NbKDKxbz/j+65mbGbvlor15dZVpSmLRw9z6tknKVWHCPwOO2685R+lCg38Dk/87cdRSrFy6jiLR49s2nea7Hvjm9hx4y00lpcyFeb4xCs25jRXl/nrX/0Ftl9/ExP79lMZHaM6uW2rseIcQabRpFHMiacew3Jc4iiksmnbfIXsvoJvNa7YD34HY723zh89/0f83am/w48v7Wh7KaaKU9w0fBN+7PPYyS8yvR7zvs8blH0LJQ1iCafGAsq+iVYZieAkKXYS06l00bdNYxsmBdel7NhU8mX0So+NJ48R1APopRiRQiDYyLvM9+dR8vIX1LIT0G93kUIj0Cz4JSSaILUwDEFfPsCLe6wFedJYEmx6LkulUOceGjaD6AeiHtPFOgN5n9VegX63y+laPw3t0hE2kXF+HaRS5KIEJ07ouDaRadDfCRhu+aRC4LsWdpLSKDY4MwynRyAxwEpgoKOZWoE+H5ZGJZPKwukk9C2miASO78uTbusnFVkHraU6xKQ0uj20AilAGpIw57Lm7SRO81Qo4OUs0D7Jyili0WP0zDpSQexoUguSvpQ3VBTX9/IEYgJUHksL0ryCqqDcm8OpHyUx80TeEC2rymonpRLMsU2czz1ZZoCustghl1FaIMXF1wCFYDG/H9NyKOGzrvI8WngLnURSMGJ6UUojSBjI2/yL0ovYJy62KQCyQl91hlQY4BSQbhHhlNB2kabZz+rZiJVjS7TPLhCtLhMRY0oDLR1a7iC13Bh9eZcdfQ569TSjX/saiYTjoyajGwovVjzzPW+gUC4iN1Ywmg2sVpuOJ4ltk93v+UFuuuOdWZhuoYB4jZ22qtdj/ic/Qu/FF9G9HsK2Uf6rn1NIuVWgfq1QUiDVa7/+agHuWIxWkqQtMTxFbiyi1c6TlCwMO8U0U5RhEGqbWJuooS75YothEoqhD77EsBVL7Qod4ZBTmWpJrcIhY5CnjfGt7zNFyojdRkiItSTRBomSxFoiAEukCDS91CJQFp4VIYwUP/AQcnMipAWGVODECFOQ+u6W4uQcKn5AZBkYhsKwNKatEAkgYT3ysI2EnJVgWVC2Iop2hCE1KE0SKSydcKbbx1qY3zLQdAxF3k4Y7Ldo77qH0vgMOcfGEoKTTz+Ov7SAJQWGYWSEg9akaUoShXQb9fO71TCwvRxBp335fZgrQhRkY0iZZW9JiVkoYjk2Oo7QcYJKYnSS4BSKFPIlqrfeQX5wGEMIqsPDjC4tsfCTH4EkQbguzu7dOHtmcPfsRRYKdJ94IrP5NAwwJLrXo/PVhzIS6ALYO3ZgjY+j2m2ElZE8wrIQros9OYFw3WwMIDh6FGf7DpL1deLFRVTQywiaMMAoFEk2NrC3T2P2D2CUikRz8xiVCsGhQ4RHjpz/UstCGAb25AT29DTCcRGmSXjyJNJ1UWF40bmh45hodnZLYXQ5yFIJa2QEc2QYhMAaHcWemCBtNjGrVVQUsfbbv5Nd+10Xs1pFxzE6DLHGxnCvuxajUEBHEfHqKsnqGkalgjU+RnTqNBgSs1rFrA4SHDmM/5Wvnv/e4SGMSh/RwjzJ4stMVSyL4pvvR9o2wvOQjkN4/DjW1BT25CSlt78dc2gIISUqCFC9HiiFzOWQXvYQpLpdktVVZLGIOXD57JPLonYSDn8KVg7CyiFAZ6TU2A2QRhmBlEawfgz8tUyllARgOhmhNHZ9RuzYhcw+b/dbYOJmOKds0DojbaS5+TIyEvbcPnwtxbqTD8KX/3NG9Jyz3StPwNBVMPPdGUn07UASQv1sRkiNXHNFLXUFV3AF33FQaUpjZYkjj3yVZz7z34mCHvlyhdLgMPvvfTPlwWHG9uy9SBHUWFmm26z/o7I1vtXotprMvvgcC0cP49ezrK00ielsbBD4HYSAG77nnVz3lrddNmdufTN3qDo1/S1c6yu4giu4giv4xyIOA04+/QROLs+Tn/oEcwdfAOD2936Au97/g5cs/+Dsg/zKo7/CSH6Ej3/vx+m2mnjF0qs2bRx++Ms88P/+IZaT2Sqvnj6J1gohJTe9/d2M7t7DZ37vNykPjzKyYxczd7yRUnWQU88+xVN//zcXqeYBitVBPvjrv3uRqimJY44++lVOPv04+Uo/faNjbLvmhosUs91Wkxf+4bObdn+ZPXV1ahvbrr2Bbddcz/jeq74tKt8ruIJvNb4ZpJYJHAPuBxaAJ4F/qbU+eMEybwd+EngbcBvwe1rrW19t7Cuk1teHVKUcbxwn1SnbS9vxTA+lFUv+EgudBaSQTJemGcydt8LpJT3CJORPDvwJy/4S3WaNklvhI3f9DAAf++rvIxFUqmNMD+/lzom7tnJyXgmJH/CJj/4/rD79WW7/2iyJtFgvSSITRuuKluvSyJs0CnkSaW66gGncRGGkKW4UkxgGLc9GIah2egS25GtXdXl0fxcr1bz3IY9tDfn/t3fnUXLd1YHHv796tXZ39d6SLLXUsi15j7yzTYiRDQmYCZgEZpIJQwKThIQMSSachJlkEhgC54RJyMKQnISEQAIOIYQlBAMJDMEZG/AW2xhsWZaRZMlaWq1Wr1Vdy6vf/FFlY9mSV9ldan0/5/SRVPWq+pbUuvXq3d/9Xf5tQ4XxyQEK9V6WHvrg0uk0S9IWpcYS0CBNmhwcq7NrdYN1kymLJZgchNXTMDYHB4fg0EC7cNVfgcPlQDp4HpmYIYZIT5ow3KpzKF+hGnvpb/Qz0BigHurUkzqj+VFOy40ylC/THweILWi0muQKOaqZOplSjlySpT6/RG2xSmu6xngc5fSeteSnW51Nu75nJpmn1CpQIE9SqtCq1ChdfDb9PzRBdrBIc2aJ+ev3sviN/az51cvIjpTaFx4ffdGxlcKem9orzodPh1yJ2tISn/n8W1ja+6+84flvIzNyBgxthP13woG74Ltfa6/u7xluzwY5svOY/84x6WEh/3oWF59HyDTJ5CDk2iv0k9VjFE7vBwLpQp2QZChsHiQ78NiujuOtcnnovukbbuD2f/xb0ttvo9qTMP6b/5PLLnvFE/4cHvP5WpHYbBGy7f3sn0irVqM5OUn1jjvY/8A9/NW9H2NqvJ96NlKtzrPhQMqaWpFKWqW3UCZmMsw358kkOWqxzlhpjLMGNpNkc2SShPF157K2uIr6nr3EJEMrCbRCpLh+gsLwKHO330p2eISFRnvew9LhWbIB9uy+k7G7H2CmFyYHM2zaHxidS6nmoXTsGdIApJkMS8Vi+/9V7dhDgVsh0Aow2d/78E6O030l5ovtGWZJjO1tJDMZkgg06p3HBPJpi1yaMlnuIRMh5OosDOZJYkoSG4RWSiBHoZljlHkGWjV6G3Uyh/LkDtWZumaQ9JofZ/O6V3Ho4BQ9PT3ki3nG146Tz+WOWvFaqVSoVCrU63Wq1SrVapXFxUVuvvlmFuZmGS73ceDwNDG0H9PX10e5XGZycpK0My8gm82SzWZZWjrG1koAaZOQpsQk2/6/FALZ2KJQKlHuKXFkZpZaowmZwPj6DZx33nlMTExQLBbJZDJkMhnK5TKZp7hSt3FwksWvf53atm0s3XsvtW3b2l0+QDI4SCiVoNkkdmYu9Vx+OX1bX0IyOESmp0Smp4fCpk2EY1y8OZFai4ss3HAjsV4jNprUd+4k1mvUH9hDfc8D7eJSvUFu3VpI24Ucst8rmIQkS279OMWzzyZ/+hkkQ4MkAwPEer29TV8IT6rzq75nD8RIbnz8Ga2KjmnK4g03kAwPUzz//IefK52bY+ZTnyZ/+kaS/v52UTGTgSRL4fSNZHp7H/d5JUlaTq3OlsTPZDadJEnd6sF77+Fvf+tXKfT2UltcZOtPvZlLXvHDjzlurj5H2krZf8sdfPGPf5/LX/WjXPCSl1KZnaF/dBX9Y6uOOn77TTfyj3/wO6zdfA5Xv/VtDKxaQ61SYf/2e/jOv36VbTdeTwgZRjdMUB4d48CO7Q/PRgWY2HIxW676IcbP+z6+/MEPUOjpYduN11Mq97P2rHPpGx5hau8DHNhxL/Vqlb7hEerVCvVqlSSb5aU//Qv0Dg6x/aYbueeGr5E2Gmy88BJe9LqfYPWZm3xf1ynphBe1Ok96NfCHQAL8ZYzxPSGEnwOIMf5paF+l/gDwcqACvPFY87QezaLWylFpVPiLf/ldhj51PWOVhEIjkBkZ5HB9hiNTeynV2nOWKgWol7L01xMawBcuatBM4JKdOTJpk+1rW+xaHehjPVsqF9HMNLm99zZm8jNsWNhA0syzp+9eznkgw9hsYN9IjbP39LBrfZ3y8BC9YT1DtVE2lwfJ5zaTrBpj1WnrONjYwz377uP++R1UD81yRthMLV9lpjlDX7XIS5a2MJGspaeaJaVFa22eyrpA2LtEqKVU6ov0hz766CETElrz9e9txRY6+7Idp4Ent6aH7OpeWgt1ep9/GrnTeknn6pBGQj5Dq9okPVIjna/TWmiQHS3S9+LxowoxzcNVDvzurWR6spSv3EDIBJKRIvl1fSR9j7937Se2fYJ33/RuvvzaL7Omd83xD2y14MFb20Wu0hCx1aJ5uMr81/ZQuT+QXTVIcfNQu1hUbxHrKY2Di6RHasTGo158EihM9FPeup78+jIxjdBs0Wq0aB5cJOkvkOnLkSkkhGL2cYtO6WKDua/sJj1So1Vt0qo0KJwxQOH0AarbpskOFsmt7W3Hs2+RpXunac7WoNnZVnLTIGM//X2P+3f08PeqNmg1Un755rex67vb+YXq6wmlhOZQIB1KuK1yB/9u6RIuz11EticPvRmSnjyzB6YohRLZUr79mgoJsZZChKV7p0kX2rNxHvp5CZ1fY7NFc6raPvYRFkbrhDTQM5OlWmow23+EwaURCger0KwRQ4NMJiV/+hDZ4RxHvn0zjcUjsDhLs5JSGthItlEjxjFiUqRRzlAY6uXWoQXOunALYzPzxGpKa7FF9YZvk1TrNJdmCJkMYWmRuHSE+WSe+ctWMVmqM1ReRW5sFelIP9+6+2uM7lvg4i9+94k70DqdbQM/+iOsfc97ntS/weOZnp7muuuuo9FoMDExwebNmxnsbAmZdLatqVarLCwsUC6Xyefz7N27l5mZGer1Oo1Gg1wuR19fHzFGmp0t7h6aeTA5OUm1WmVmZobR0VHWrFnD6tWrWbt2bbvb61kQY6Q5eYjmgf0UL7jg4Q4rSZIkSZJOdUcO7KM8MsZ1f/RedtzyTS65+tWc9+KtrD5j01HH3X/bTfzD772HfLF01LzGTJLlJW/4L3zfVS9nfmqSf732w+y45ZusOv1Mfuyd733M3L3YanHr5z9DvVrh4le8ip7+AZqNBjd+4qMUeno5+0UvZnD1aY9ZsL1/x718/ZN/w+zkQRYOT9E7OMTEhZew6bLnM7HlYgDmDx/in/70/Txw1x1Ae77o+T9wJRe//FUn7bxD6UR5VopazxaLWqeGa+++lt+55XcYLg5z/sj5rOtbx1x9jtsO3sY5/eewLrOG+2buo1jJ8vr7XsF92f2cVzqTDcU11CcX+VruO+xPZqmkVRIK9E1exK7hu5ju2cdgdRWNpMb6mbMZSsc44/JhZlfvYOfXd0CAeqlJWj26O2qw1cOP1l9w1G3VjYGRwVF6Ll9D81CV+ev3kB6pkV3dQ3aw3U0QCgkh377gnAwUKGwok19fJtPT7phoHlmieahK/cF5MsUsudXtYlbSe2I6Kg6871aahx67lVcyWKBw5iD5De1YGg8uUNs5C61I8ewhdpUP8LFvfISRwggbhzayfmqUfLHIltdeQX6ws09wo0VsRep752ktNFj4xj4aDy4QGy2amZQvTHyD1Vds5upNr6SULR31/VuNlMaeeUI+IdOXJ9aaLN5ykOrdh0mnj9Ml88j4R4r0X7GedK5G6YJRcmvanRGxFancPsnCN/fT2LdAblUPmd4cIQks3dveji3Tk6W1lLbn4ABkMxTOGCC3poeQS2jsX2Tp7sOs+e/PIztYYPfcbg4uHmSqOsWuG7/N2IE+GqEJSWB8foyJymkkZKhklihSIMlm2zPXmkcX7UIxS6w3v1fIDJ2vYxQ2k8HCw6+JGNtjd2JsF0UzgexIkdyqHrJjJVrVlHR6icVbDpAMF8mv7aV6zzRxKSU7UqR4/ghESGdrtObrVO48BI9O7ZlAfkOZVrVJ8awhei5aRW5t73E75Fr1lMbeeZL+AslIkVhLqRyaozjUR/ZxCqbp/Hy7EBojMU2J9Tr13btJBgbI9PSQDA6SKZdpLSyQ6e21WCNJkiRJkp6WZr3OP7zvPey64zbGJk7npT/9C9z4dx/j0qtfzcSWi/izn/8p+kfH+JH/8b/Ydee/EUKg1Ffm9n++ju/edvPDM69zxRLPv+Z1XPrKa8jmH3+R+LMhbTa46TOfZGR8A2de+rxliUHqRha11HVijHx595f5q+/8Fd+a+hblXJn1/eu5+/DdRx2XxAx/PvnbTAxvJNZaZEpZcmt6aexfoHbfDPdl9nN9/m6ufvkrWTd8JlP37OVb376J/c3DVOJjiyd9schAq4fR2M9YLNOKLaYyCywNLXHeiy5iMC3TUy3QM9pP38VHz9yIaSTWUzKlJzej6bnQnF4ipq12p08uQ3OqSuPBBep75lm6b4a41O46IRPIj/cR00hj38Jjih6VTJVszBIz0OyLFJZyZGtHFzzmShX2rp1mZ/FB/q72j0zlZ2jFFklIKOfL9OZ6Hx7EOVmZZMvYFsq5MtW0ylJziVpa49LBS/jx+r9nODdESAJkM4QkQ3a0SGuhQbNSZ35+lupNkxTmOtuKJeHhLqyl+45Q3zkHhcCRK7MMXrKOdX3ryIQMjQOLVCuL3By+RaYVKM8VebDyIAuDdVq0uHDVhQDM7pvijI+3TxBuWH0n2+L9rGoMM1Fby4WVs1goViEG8s2EqYF5ZlYvMZ2Z5fR0nLNXnUPfi9aS9BdI5+o0pyqk0zXyG8rk1vQSW7HdObZQJynnCaVsuxttKaVVS8nkMsQ0kgzkCcmzM0y6Ob1EyAZCPiGdr5PO1skOFdpbVEqSJEmSJK0QMUZuu+6zXP/RD5HN5UmbTWJssfasc9m3/R5e8/Z3cMYllx/1mLTZ5JbPfYq0USdbKHL+FVfRNzS8TK9A0vFY1FJXu/PQnVx7z7XsnN3JNZuu4erTr2a+Pk8trfG5+z/HR77zEX5w4gfZumErMUYyIcN4eZxze8/mm9d+kTv23M90ZoHR0M9Cq0oaWpzGENkItVydYm8vQ+VhNl10DhObNhJ3V0mGiuRP62P3/TuYX5rjggsvfcKBkSeb2Iqkc3VaC3Wyq3rIdDrKWrUmtZ1zZEeKZIpZGvU6rSL883e+yJH/u4tiK8+R7BxHsnOktJjMHWZoeJQb463Usg36cn28cO0L+a0X/hY3H7iZWw7cwmxtlsXGIguNBUrZEoOFQW6fvJ1AoJgtUkyKZEKGmw/cTKPVoJwvs768nvG+cb47+13manMQYLo6TTM2ycTA2a0zaWaa/Fz9P7F5dpzcYWjkUt4/ei1fGfgmDzXV9eZ62TS4iRgjO2Z2UGlWnvDv5vd2vY11zdX0NUtkY0IrDwzn6D13jOGXnfGk5m1JkiRJkiRpeVXn5/jgW97I4Oo1vObt7+Cur/4TN332k/QMDPKzf/xhMu4SI52ULGrppPahuz7EB27/AM3YPOr28b5xDs8e4k0HX0OSFjmUVmiQ8tXT/oXpwjSXrLqEv/yhvyRxmOKTdrh6GICp6hS753YzX5/nvJHzOHfk3BPy/FPVKb6080vsmtvFnvk97Jnfw6qeVUz0T9CKLcZKY6zpXUMpW+K9t7yXgfwAD8w/AEC52UsaUq7a/DLW9q1l09AmFuoLbD+yne1HtpMNWTYObORlEy9joDBApVFhtDRKISkQidw+eTu9uV7GSmOMlkYZKY4QUohpq72N5AorakqSJEmSJJ0KZg4eoHdg8OF5WIf37gEiI+MbljcwSU+bRS2d9CYrkyw2FklCQhpTvrL7K9x04Ca2rt9KOV/mrkN3sW1qG0lMePOlb6barHLRqosYLto+fLJaai5RSAocWDzA3oW9HFg8wJreNVy+5vInfrAkSZIkSZIk6aRkUUuSJEmSJEmSJEld73hFrcxyBCNJkiRJkiRJkiQ9FRa1JEmSJEmSJEmS1PUsakmSJEmSJEmSJKnrWdSSJEmSJEmSJElS17OoJUmSJEmSJEmSpK5nUUuSJEmSJEmSJEldz6KWJEmSJEmSJEmSup5FLUmSJEmSJEmSJHU9i1qSJEmSJEmSJEnqeha1JEmSJEmSJEmS1PUsakmSJEmSJEmSJKnrWdSSJEmSJEmSJElS17OoJUmSJEmSJEmSpK5nUUuSJEmSJEmSJEldz6KWJEmSJEmSJEmSup5FLUmSJEmSJEmSJHU9i1qSJEmSJEmSJEnqeha1JEmSJEmSJEmS1PUsakmSJEmSJEmSJKnrWdSSJEmSJEmSJElS1wsxxuWO4TFCCIeA3csdh562UWBquYOQpGeJOU7SSmaOk7RSmd8krWTmOEkr0USMcezRN3ZlUUsntxDCrTHGy5Y7Dkl6NpjjJK1k5jhJK5X5TdJKZo6TdCpx+0FJkiRJkiRJkiR1PYtakiRJkiRJkiRJ6noWtfRs+OByByBJzyJznKSVzBwnaaUyv0laycxxkk4ZztSSJEmSJEmSJElS17NTS5IkSZIkSZIkSV3PopYkSZIkSTrphRDCcscgSc8G85skfY9FLT1lIYTLQgirljsOSXq2hBBeGkK4dLnjkKQTLYQw8Ijfe3FE0kqTXe4AJOlZklvuACSpW1jU0pMWQjg/hPB14B3A4HLHI0knWgjh4hDCF4HPAJuWOx5JOlFCCM8PIfylg9L1AAAHaElEQVQD8BchhDeFEArR4bqSVogQwgtCCNcC7wohbA4hJMsdkySdCCGEF4YQPgn8XgjhPPObJFnU0lPzS8BnYow/HGPcDq7wlbQyhBCSEMIHgT8H/gz4G+Dczn2+V0o6qYUQtgB/DPw98EngSizcS1ohQggXAP8H+DxwEPhZ4A2d+/y8Kumk1dkl6QPAF4Ap2tfl3tS5z/wm6ZTlhTo9oc7F3mEg0n4zJYTwmhDCOFDq/Nk3U0knrRhjCnwJeHGM8bPAp4CtIYRijLG1vNFJ0jN2KbAjxvhR4MtAEXjgoTs9j5N0knsBsC3G+HHaC5QqwE+EEDbGGKM5TtJJ7EJge4zxw8D7gE8Drw4hnGV+k3Qqs6ilYwohXBFCeD48fLG3AvwAcGUI4WPAm4F3A3/YOcbtaySdVB6Z5wBijJ+OMVY7HwxawHagZ9kClKSn6dH5DbgOeE0I4T3AXcA48P4QwtvB8zhJJ5dj5LhbgPUhhDNjjIu0z+NmgZ8Bc5ykk0cI4ZoQwq+HEF7ZuekO4LJH5LdbgFtpX5Mzv0k6ZVnU0lFCCOUQwqdpz5N5cwhhCCDGuAR8mPbWNf8UY3w58BvABSGEVyxbwJL0FB0vz4WOzgeDbcBVtLsZ7GKQdFJ4nPO4SdorfbPAr8cYXwB8BPj+EMILlyteSXoqjpHjhjt33Q/cDHw4hPBZ4DLaW61mQwjF5YlWkp68EMJYJ3/9CjBNO5+9NsZ4iPYuIm/tHDoDfAXoCSGctjzRStLys6ilR6sDXwVeD+wDXveI+/6E9naDYwAxxgeBG2ivhJOkk8Ux81zsCCFkYox7gZuA1z5033IFK0lPwXHP42KM24BzgD2dm24DJoHacxyjJD1dxzuHW4gx/hrwX4GPxBh/GNgBbOkszpSkbncmcGOM8QdijH8KvA34b537Pg6cE0K4qrM1/mFgHe2OVEk6JVnUEiGEN3S2cBiMMdaAv6C98mM77Tbns6D9YYH26pCfDCFcFEL4eeClwK5lCl2SnpQnm+c6Ba1WCCEL3AcsLl/UkvTEnmx+6/hn4J2d7tMfA86nfWFEkrrSE+S4Sx+Z42KM3+rMRgW4Evim3faSulUnv70khNBDe7HRX3duT4C7O1/Q3jr6b4E/CiFsor2jSADyz33UktQdgovPT02dk/s1wN/Q7rS6H+gFfinGONU5ZjPwk8BSjPHdj3jsf6S9hc35tLew+c5zHL4kPaGnm+ceUdj6A2Ahxviby/ICJOk4nmJ+q8UYf7tzWwn4ILAKSIBfjDHe/djvIEnL5xl+Vr0UeB+QAj8bY7z/OQ5fko7rifJbCCGJMaYhhNcDr4ox/odHPPbXgLNod97/TIzxnuf+FUhSd7BT6xTUeZOMQBl4MMZ4FfAW2vv2/tlDx8UY76O9WmRtCGFTCKE3hJCLMX4C+I0Y46staEnqRs8gzxVpb7MK8CsWtCR1m6eR304LIWwOIfTEGKvAG4GfjDG+1IKWpG7zDM7hHjp/2wW8I8Z4lQUtSd3kCfLbBx91+A8Cf9953BqAGOP/Bt4SY/x+C1qSTnXZ5Q5Az53OdlrvApIQwheAftor2IgxNkMIvwjsCyFcEWO8vnP7Z0II5wJfAvqArcA9zpeR1I3Mc5JWqmeY374I9IUQtnYughxYnlchScd2Is7hQghXdor11y/Pq5Ckx3o6+Q1YAHaGEN4F/EgI4eUxxr0xxvpyvAZJ6jZ2ap0iQghX0F7JNkR7aO5vAw1gawjheQCdC7jvAt75iMe9DvgN4F9oD9p1NYikrmSek7RSmd8krWQnMMfZfSqpqzyd/NaZqfUm2p1a/cDWGOPe5zx4SepiztQ6RYQQXgxsjDF+tPPnP6E9bLIKvDXGeGkIIUN7xsL7gbfHGHd2HkeM8f8tU+iS9KSY5yStVOY3SSuZOU7SSvU08tuv0t5V663AX8cY/215Ipek7man1qnjNuDvOis+AG4ENsQYP0K7BfqtMcYWMA6kMcad0P6A4IcESScJ85yklcr8JmklM8dJWqmeSn5rxRh3xxjvjzH+sgUtSTo+i1qniBhjJcZYizGmnZteBhzq/P6NwLkhhM8DHwd845R00jHPSVqpzG+SVjJznKSV6inmt9sAQgjhuY9Ukk4u2eUOQM+tzuqQCKwGPte5eR74deACYGeM8cFlCk+SnjHznKSVyvwmaSUzx0laqZ5KfovOiZGkJ2Sn1qmnBeSAKWBLZ0XIb9Juc77BDwmSVgDznKSVyvwmaSUzx0laqcxvknQCBRcAnHpCCC8Avt75+nCM8UPLHJIknVDmOUkrlflN0kpmjpO0UpnfJOnEsah1CgohjAP/Gfj9GGNtueORpBPNPCdppTK/SVrJzHGSVirzmySdOBa1JEmSJEmSJEmS1PWcqSVJkiRJkiRJkqSuZ1FLkiRJkiRJkiRJXc+iliRJkiRJkiRJkrqeRS1JkiRJkiRJkiR1PYtakiRJkiRJkiRJ6noWtSRJkiRJkiRJktT1LGpJkiRJkiRJkiSp61nUkiRJkiRJkiRJUtf7/0zEv6zi7ts2AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 2160x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "portfolio_5yrs_daily = portfolio_5yrs.pct_change()\n",
+    "portfolio_5yrs_1 = (1 + portfolio_5yrs_daily).cumprod() - 1\n",
+    "portfolio_5yrs_1.plot(figsize=(30,10), title='Joint Cumulative Returns');"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create Plots\n",
+    "def get_daily_sp500_plot():\n",
+    "    SP500_daily_returns_1= SP500_daily_returns.plot(title='S&P 500 Daily Returns', figsize=(20,10))\n",
+    "    return SP500_daily_returns_1\n",
+    "\n",
+    "def get_daily_core_plot():\n",
+    "    core_portfolio_returns_1= core_portfolio_returns.plot(title='Portfolio Daily Returns', figsize=(20,10))\n",
+    "    return core_portfolio_returns_1\n",
+    "\n",
+    "def get_cumulative_sp500_plot():\n",
+    "    sp500_cumulative_returns_1= Sp500_cumulative_returns.plot(title='S&P 500 Cumulative Returns', figsize=(20,10))\n",
+    "    return sp500_cumulative_returns_1\n",
+    "\n",
+    "def get_cumulative_portfolio_plot():\n",
+    "    core_cumulative_returns_1= core_cumulative_returns.plot(title='Portfolio Cumulative Returns', figsize=(20,10))\n",
+    "    return core_cumulative_returns\n",
+    "\n",
+    "def get_cumulative_joint_plot():\n",
+    "    portfolio_5yrs_2= portfolio_5yrs_1.plot(title='Securities Cumulative Returns', figsize=(20,10))\n",
+    "    return portfolio_5yrs_2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Create panels to structure the layout of the dashboard\n",
+    "daily_column = pn.Column(\"Daily Returns\", get_daily_sp500_plot(), get_daily_core_plot())\n",
+    "\n",
+    "\n",
+    "cumulative_column = pn.Column(\n",
+    "    \"Cumulative Returns\", get_cumulative_sp500_plot(),)\n",
+    "\n",
+    "joint_column = pn.Column(\n",
+    "    \"Joint Returns\", get_cumulative_joint_plot())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create tabs\n",
+    "dashboard = pn.Tabs(\n",
+    "    (\"Daily\", daily_column), \n",
+    "    (\"Cumulative\", cumulative_column), \n",
+    "    (\"Joint\", joint_column))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {},
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.holoviews_exec.v0+json": "",
+      "text/html": [
+       "<div id='1035'>\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "  <div class=\"bk-root\" id=\"9c5213d0-9af7-4b6c-a348-ce2d1923f379\" data-root-id=\"1035\"></div>\n",
+       "</div>\n",
+       "<script type=\"application/javascript\">(function(root) {\n",
+       "  function embed_document(root) {\n",
+       "  var docs_json = {\"9f467b72-c93c-44f5-945d-2a6263e501af\":{\"roots\":{\"references\":[{\"attributes\":{\"margin\":[5,5,5,5],\"name\":\"Str01959\",\"text\":\"&lt;pre&gt;AxesSubplot(0.125,0.2;0.775x0.68)&lt;/pre&gt;\"},\"id\":\"1039\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"child\":{\"id\":\"1045\"},\"name\":\"Column01971\",\"title\":\"Joint\"},\"id\":\"1048\",\"type\":\"Panel\"},{\"attributes\":{\"child\":{\"id\":\"1041\"},\"name\":\"Column01966\",\"title\":\"Cumulative\"},\"id\":\"1044\",\"type\":\"Panel\"},{\"attributes\":{\"child\":{\"id\":\"1036\"},\"name\":\"Column01961\",\"title\":\"Daily\"},\"id\":\"1040\",\"type\":\"Panel\"},{\"attributes\":{\"margin\":[5,5,5,5],\"name\":\"Str01969\",\"text\":\"&lt;pre&gt;AxesSubplot(0.125,0.2;0.775x0.68)&lt;/pre&gt;\"},\"id\":\"1047\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"client_comm_id\":\"09ae8142e1344a11a083f3fe7dff71e3\",\"comm_id\":\"208eaacba18f409b8c0a7b55dbc028a8\",\"plot_id\":\"1035\"},\"id\":\"1049\",\"type\":\"panel.models.comm_manager.CommManager\"},{\"attributes\":{\"margin\":[5,5,5,5],\"name\":\"Str01957\",\"text\":\"&lt;pre&gt;AxesSubplot(0.125,0.2;0.775x0.68)&lt;/pre&gt;\"},\"id\":\"1038\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"margin\":[5,5,5,5],\"name\":\"Str01964\",\"text\":\"&lt;pre&gt;AxesSubplot(0.125,0.2;0.775x0.68)&lt;/pre&gt;\"},\"id\":\"1043\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"children\":[{\"id\":\"1042\"},{\"id\":\"1043\"}],\"margin\":[0,0,0,0],\"name\":\"Column01966\"},\"id\":\"1041\",\"type\":\"Column\"},{\"attributes\":{\"children\":[{\"id\":\"1037\"},{\"id\":\"1038\"},{\"id\":\"1039\"}],\"margin\":[0,0,0,0],\"name\":\"Column01961\"},\"id\":\"1036\",\"type\":\"Column\"},{\"attributes\":{\"children\":[{\"id\":\"1046\"},{\"id\":\"1047\"}],\"margin\":[0,0,0,0],\"name\":\"Column01971\"},\"id\":\"1045\",\"type\":\"Column\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown01962\",\"text\":\"&lt;p&gt;Cumulative Returns&lt;/p&gt;\"},\"id\":\"1042\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown01967\",\"text\":\"&lt;p&gt;Joint Returns&lt;/p&gt;\"},\"id\":\"1046\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown01955\",\"text\":\"&lt;p&gt;Daily Returns&lt;/p&gt;\"},\"id\":\"1037\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"margin\":[0,0,0,0],\"tabs\":[{\"id\":\"1040\"},{\"id\":\"1044\"},{\"id\":\"1048\"}]},\"id\":\"1035\",\"type\":\"Tabs\"}],\"root_ids\":[\"1035\",\"1049\"]},\"title\":\"Bokeh Application\",\"version\":\"2.1.1\"}};\n",
+       "  var render_items = [{\"docid\":\"9f467b72-c93c-44f5-945d-2a6263e501af\",\"root_ids\":[\"1035\"],\"roots\":{\"1035\":\"9c5213d0-9af7-4b6c-a348-ce2d1923f379\"}}];\n",
+       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "  }\n",
+       "if (root.Bokeh !== undefined) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (root.Bokeh !== undefined) {\n",
+       "        clearInterval(timer);\n",
+       "        embed_document(root);\n",
+       "      } else if (document.readyState == \"complete\") {\n",
+       "        attempts++;\n",
+       "        if (attempts > 100) {\n",
+       "          clearInterval(timer);\n",
+       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
+       "        }\n",
+       "      }\n",
+       "    }, 10, root)\n",
+       "  }\n",
+       "})(window);</script>"
+      ],
+      "text/plain": [
+       "Tabs\n",
+       "    [0] Column\n",
+       "        [0] Markdown(str)\n",
+       "        [1] Str(AxesSubplot)\n",
+       "        [2] Str(AxesSubplot)\n",
+       "    [1] Column\n",
+       "        [0] Markdown(str)\n",
+       "        [1] Str(AxesSubplot)\n",
+       "    [2] Column\n",
+       "        [0] Markdown(str)\n",
+       "        [1] Str(AxesSubplot)"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {
+      "application/vnd.holoviews_exec.v0+json": {
+       "id": "1035"
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dashboard.servable()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Final_project_notebook/__pycache__/MCForecastTools.cpython-38.pyc b/Final_project_notebook/__pycache__/MCForecastTools.cpython-38.pyc
new file mode 100644
index 0000000..cb6c0ee
Binary files /dev/null and b/Final_project_notebook/__pycache__/MCForecastTools.cpython-38.pyc differ
diff --git a/Final_project_notebook/df_ticker.csv b/Final_project_notebook/df_ticker.csv
new file mode 100644
index 0000000..556a89d
--- /dev/null
+++ b/Final_project_notebook/df_ticker.csv
@@ -0,0 +1,1227 @@
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